The Group Evolution Multiwavelength Study (GEMS) bimodal luminosity functions in galaxy gro

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腾超小作文

腾超小作文

腾超小作文Hello, let's embark on a journey through a seamless blend of languages, exploring the beauty of cross-cultural communication. In the realm of technology, innovation has been thriving at an unprecedented pace. The digital revolution has transformed the way we live, work, and interact with the world. From the rise of artificial intelligence to the advancements in blockchain technology, each leap forward opens up new horizons of possibility.在科技领域,创新以前所未有的速度蓬勃发展。

数字革命已经改变了我们生活、工作和与世界互动的方式。

从人工智能的兴起到区块链技术的进步,每一次飞跃都开辟了新的可能性。

The intersection of technology and society is particularly fascinating. As our lives become increasingly interconnected through digital platforms, we are witnessing a merging of physical and virtual worlds. This convergence not only enhances our capabilities but also poses new challenges and ethical considerations.科技与社会的交融尤其令人着迷。

更厉害的合作伙伴英语作文

更厉害的合作伙伴英语作文

更厉害的合作伙伴英语作文Collaborating with Stronger Partners。

In today's globalized world, collaborations between businesses and organizations are becoming increasingly common. The benefits of such collaborations are manifold, including shared expertise, expanded networks, and increased efficiency. However, not all collaborations are created equal. In order to truly reap the rewards of collaboration, it is important to seek out partners who are stronger and more experienced than oneself.Collaborating with stronger partners can be daunting, but it is also incredibly rewarding. Stronger partners bring a wealth of knowledge and experience to the table, which can help to elevate your own organization's capabilities. They may have access to resources, networks, and technologies that you do not, which can help to accelerate your growth and success.Furthermore, collaborating with stronger partners can help to boost your organization's reputation and credibility. By associating with a well-respected and established partner, you can enhance your own brand and gain the trust of new audiences and customers. This can be particularly valuable for startups and smaller organizations that are looking to establish themselves in a crowded marketplace.Of course, collaborating with stronger partners also comes with its own set of challenges. It is important to approach these collaborations with a clear understanding of your own strengths and weaknesses, as well as those of your partner. This can help to ensure that the collaboration is productive and mutually beneficial, rather than one-sided or unbalanced.Effective communication is also key to successful collaborations with stronger partners. It is important to establish clear goals and expectations from the outset, and to maintain open lines of communication throughout the collaboration. This can help to avoid misunderstandings andensure that both parties are working towards the same objectives.In conclusion, collaborating with stronger partners can be a powerful way to enhance your organization's capabilities and reputation. While it may be intimidating at first, the rewards of such collaborations can be significant. By approaching these partnerships with a clear understanding of your own strengths and weaknesses, and by maintaining open communication throughout, you can build strong and productive collaborations that benefit everyone involved.。

产业新趋势英文

产业新趋势英文

产业新趋势英文Title: Emerging Trends in Industrial GrowthIntroduction:The ever-evolving global landscape has been witnessing the emergence and evolution of several new trends that are reshaping various industries. These trends are driven by advancements in technology, changing consumer preferences, sustainability concerns, and geopolitical developments. This article aims to explore some of these prominent trends that are expected to influence industrial growth in the coming years.1. Artificial Intelligence and Automation:Artificial Intelligence (AI) and automation are revolutionizing the industrial sector by improving efficiency, productivity, and quality. AI algorithms provide valuable insights and predictions that help optimize operations, reduce downtime, and enhance decision-making processes. Automation, on the other hand, allows businesses to streamline their manufacturing processes and improve overall operational efficiency. As AI and automation become more sophisticated, their adoption is expected to increase across various industries, including manufacturing, healthcare, transportation, and logistics.2. Internet of Things (IoT):The Internet of Things (IoT) refers to the interconnectivity of devices and systems through the internet. The integration of IoT technology into industries allows for better control, monitoring, and management of resources. IoT facilitates the collection and analysis of data that enables efficient supply chain management,predictive maintenance, and real-time decision making. Additionally, IoT devices enhance customer experiences by providing personalized and connected services. As the number of connected devices continues to grow, IoT will play a vital role in transforming industries and creating new business opportunities.3. Sustainable Practices and Circular Economy:Concerns about climate change and environmental degradation have led to a push for more sustainable practices across industries. The concept of the circular economy, which focuses on reducing waste and maximizing the value of resources, has gained traction in recent years. Companies are adopting sustainable practices to minimize their carbon footprint, reduce waste generation, and promote recycling and reuse. The circular economy approach not only helps preserve natural resources but also presents opportunities for economic growth and innovation.4. Cybersecurity:As industries become increasingly interconnected and digitalized, ensuring the security of information and systems has become critical. Cybersecurity threats pose a significant risk to businesses, as breaches can result in data loss, financial losses, and reputational damage. Consequently, organizations are investing in robust cybersecurity measures to protect their networks, data, and intellectual property. The demand for cybersecurity solutions is expected to rise with the growing digitalization of industries.5. Advanced Manufacturing Techniques:Advanced manufacturing techniques such as 3D printing, robotics, and nanotechnology are transforming traditional manufacturingprocesses. 3D printing offers customization, cost reduction, and faster prototyping, enabling companies to bring products to market more quickly. Robotics and automation improve efficiency and precision in manufacturing operations, making them more cost-effective. Nanotechnology, on the other hand, enhances the performance and durability of products. Industries adopting these advanced manufacturing techniques are witnessing enhanced competitiveness and innovation.6. E-commerce and last-mile delivery:With the rise of e-commerce, the retail landscape has undergone a significant transformation. Consumers are increasingly shifting towards online shopping, prompting businesses to adapt their operations accordingly. The demand for efficient last-mile delivery solutions has surged as companies strive to provide fast and convenient delivery options. As a result, technologies such as autonomous vehicles and drones are being explored to streamline and improve the efficiency of last-mile delivery services.7. Shared Economy:The shared economy model, in which individuals or businesses share underutilized assets or resources, has gained popularity across several industries. Platforms such as Uber and Airbnb have disrupted the traditional transportation and hospitality sectors. This trend has expanded to other sectors, such as coworking spaces and equipment sharing. The shared economy presents new opportunities for businesses to optimize resource utilization and generate additional revenue streams.8. Data Analytics and Predictive Analytics:Data analytics and predictive analytics have emerged as crucial tools for businesses to gain valuable insights and make informed decisions. By analyzing vast amounts of data, organizations can identify patterns, trends, and correlations, helping them optimize operations and predict future outcomes. Predictive analytics enables businesses to forecast demand, manage supply chains efficiently, and anticipate maintenance needs. The ability to harness the power of data analytics provides a competitive advantage in an increasingly data-driven world.Conclusion:The industrial landscape is witnessing a rapid transformation driven by technological advancements, changing consumer preferences, sustainability concerns, and evolving business models. Industries that embrace these emerging trends will be better equipped to navigate the future and gain a competitive edge. By leveraging artificial intelligence, IoT, sustainability, advanced manufacturing, e-commerce, shared economy, cybersecurity, and data analytics, businesses can adapt, innovate, and thrive in the dynamic and ever-evolving global marketplace.。

convergent genes会聚型基因

convergent genes会聚型基因

convergent genes会聚型基因Convergent Genes: An Insight into the World of Convergent EvolutionIntroduction:Convergent evolution is a captivating phenomenon wherein organisms from different lineages develop similar traits or characteristics due to similar ecological pressures. At the molecular level, convergent evolution can be observed through the emergence of convergent genes. These genes, also known as "convergent genes" or "convergent sequences," play a significant role in shaping the biological diversity we observe today. In this article, we will delve into the concept of convergent genes, exploring their mechanisms, significance, and examples that showcase the remarkable adaptive potential of living organisms.1. The Mechanisms of Convergent Genes:1.1. Structural Convergence:Structural convergence refers to the acquisition of similar functional elements or structures through different genetic pathways. Despite having different genetic origins, these gene sequences converge to perform similar functions. Structural convergence often occurs when multiple organisms face similar selection pressures.1.2. Regulatory Convergence:Regulatory convergence involves the convergent evolution of regulatory elements within genes. These regulatory elements control gene expression and play a crucial role in shaping an organism's phenotype. Similarenvironmental demands can result in the independent evolution of similar regulatory sequences in different lineages.2. The Significance of Convergent Genes:2.1. Adaptation to Specific Environments:Convergent genes facilitate adaptation to specific environments by providing adaptive advantages. Organisms that face similar selective pressures, such as temperature extremes, limited food resources, or predators, may independently develop genes that enhance their survival chances within these particular habitats.2.2. Evolutionary Relationships:Convergent genes can shed light on the evolutionary relationships between different species. By examining the genetic sequences and similarities between organisms with convergent traits, scientists can better understand how different lineages have evolved and diverged over time.3. Examples of Convergent Genes:3.1. Echolocation in Bats and Dolphins:Bats and dolphins, despite belonging to different taxonomic groups, both exhibit echolocation capabilities. The convergent evolution of genes associated with auditory and neural structures has enabled these two groups to independently develop and utilize echolocation as a navigation mechanism.3.2. Flight in Birds and Bats:Birds and bats have both evolved the ability to fly, even though they last shared a common ancestor hundreds of millions of years ago. Convergent genes associated with wing development and muscle structure have played a crucial role in the emergence of flight in these two distinct lineages.4. Future Implications and Research Directions:4.1. Molecular Basis of Convergent Evolution:With advancements in genetic sequencing technologies, researchers are unraveling the molecular basis of convergent evolution. Understanding the specific genetic changes that give rise to convergent genes can provide valuable insights into the underlying mechanisms driving the adaptation of organisms to specific environments.4.2. Biotechnological Applications:The study of convergent genes can have significant implications in various fields, such as medicine and agriculture. By harnessing convergent genes, scientists may develop novel therapeutic approaches, enhance crop resilience to environmental stressors, and engineer organisms with desired traits.Conclusion:Convergent genes are a testament to the remarkable adaptive potential of living organisms. Through the independent evolution of similar genetic sequences, organisms can adapt to similar ecological pressures, resulting in the emergence of convergent traits. The study of convergent genes not only enhances our understanding of evolution but also holds promise for future applications in various fields. By unraveling the molecular mechanismsbehind convergent evolution, we gain valuable insights into the intricate processes that shape the incredible diversity of life on Earth.。

联想集团技术创新【外文翻译】

联想集团技术创新【外文翻译】

外文翻译原文Lenovo Group Technology InnovationMaterial Source: R&D Management34,4,2004Author: Wei Xie and Steven WhiteLenovo’s development experience suggests several hypotheses regarding the relationship among a new firm’s competitive strategy, learning an d capabilities on one hand, and its performance in a particular competitive and institutional environment on the other. First, the case clearly illustrates the evolutionary and path-dependent nature of capability development. Rather than being a constraint, however, Lenovo’s case shows that an initial set of resources and capabilities can support the development of additional complementary ones. In Lenovo’s case, the founders benefited in the early days from the spin-off’s external legitimacy based on its parent’s reputation. In addition, its personnel had technical expertise that could generate revenues from downstream activities – distribution, sales and service; these did not require scarce capital requirements. Changes in the institutional environment also allowed the founders to undertake such activities, although it also created constraints on its efforts for undertaking others (i.e., manufacturing). Given Lenovo’s initial resources and capabilities, however, it is doubtful whether it could have become a competitive PC manufacturer any earlier than it did.The case also suggests that the motivation to learn and develop new capabilities may be related to the background, expertise and values of the founding members. While Lenovo’s founders initially estab lished a sales and service firm, they themselves were researchers and engineers and always had the ultimate objective of moving upstream into manufacturing and R&D. Such motivation may be just as critical a factor for a firm to develop new capabilities as having the opportunity and resources (financial and technical) to do so.Lenovo’s case also illustrates how the nature and direction of learning evolves in relationship to changing environmental features and the firm’s accumulation of relevant resources and capabilities. Hence, Lenovo began in the initial Mao phase by directing its resources to the sales and service opportunities that generated revenuesthat not only financed its entrance into manufacturing during the following Gong phase, but also provided an enduring competitive advantage vis-a-vis its foreign and even domestic competitor-namely, its understanding of its customers and unique distribution network. Similarly, its experience in manufacturing not only generated revenues, but also provided the basis for identifying competitively important areas in which to focus R&D efforts during the current Ji phase. The movement into each phase was associated with business opportunities and enabled Lenovo to compete more and more directly with leading firms in the industry.The case shows changes in the capabilities and domains in which a firm competes and also illustrates how the means to acquire new resources and capabilities much change. Initially, Lenovo could compete in sales by relying on other firms’ pr oducts or technology developed by its parent. In order to grow, however, it had to internalize first manufacturing capabilities and then R&D capabilities. This is pushed further as rivals begin to see the newcomer as an emerging threat and restrict access to resources or capabilities that they had earlier proved when the new- comer was seen as a partner.Lenovo also represents the way in which a new entrant may challenge incumbents, especially foreign competitors, by developing resources and capabilities that are especially adapted to the local market. Lenovo accumulated customer knowledge and created a distribution network that has proven nearly impossible for foreign and even most domestic competitors to replicate. It has continued with this strategy as it has extended its capabilities into manufacturing and R&D; namely, a major objective of Lenovo’s ongoing activities is to develop products that are even more finely attuned to increasingly more specific customer segments. This consistent focus and deepening capability in this regard has also emerged as a significant competitive advantage for Lenovo in the Chinese market.Such extreme adaptation to a particular market, however, may be a liability if the firm wants to expand to new markets, especially those outside its home market. Lenovo, although financially and competitively quite successful in the Chinese market, has only token sales outside of China (approximately 10%). It is not clear at this time whether such dominance of domestic over international sales is simply a matter of managerial focus, or an inherent limitation in the competitiveness of Lenovo’s products in other markets. Although the Chinese market alone promises to be a major growing PC market for the foreseeable future, the possibility thatL enovo’s products may not match other markets would have to be addressed if or when Lenovo chooses to consider increasing its presence in foreign markets.Finally, the Lenovo case illustrates an alternative path for a new entrant –whether a spin-off or firm that is diversifying into a new business – to become an integrated firm. This path begins with downstream activities in marketing, sales and service, and then expands upstream into manufacturing, product development and engineering, and finally research. This is in contrast to the path followed by most of the other firms that were newly established in response to new opportunities created by China’s transitioning institutional and market environment. These firms began with manufacturing and moved into marketing and sales (Xie and Wu, 2003). For example firms such as Changhong, a leading television manufacturer, began by importing production lines and then building their sales and marketing capabilities and, much later if at all, varying degrees of R&D capabilities. Other firms were spin-offs with truly proprietary technology that expanded their capabilities downstream into manufacturing, marketing and sales. The Founder Group Company is one such example of down- stream capability building (Lu, 2000). Around the same that Lenovo was founded, this company exploited the pictographic-language electronic publishing systems technology developed by Beijing University researchers and thereby produced China’s first high-resolution colour electronic publishing systems.Managerial implicationsSome of the conceptual elements of the Lenovo case have clear implications for management. Two elements –path dependence and capability building –should suggest to managers that they clearly link their existing set of resources and capabilities to desired changes in those features that they see as necessary to compete. Finally, after almost 15 years, Lenovo put together an integrated set of functional capabilities, from R&D to manufacturing to sales and service. Furthermore, because it started with sales and service, its current success can arguably be attributed to it first mastering and understanding manufacturing activities before investing significantly in R&D. Furthermore, each step of its expansion into new activities and capabilities was supported by its success in preceding stages.The case also shows how each stage in a firm’s development of new capabilities requires different strategies and structures for learning. The firm willacquire different capabilities through different means; for example, through acting as a subcontractor to leading firms, collaborating with a partner, acquisitions, licensing or other means. Furthermore, as the firm develops capabilities new functional areas, or broadens the range of capabilities in a particular function, the organization must be restructured to support effective and effective coordination of increasingly diverse activities.The case has lessons that are also particularly relevant for latecomer firms, especially but not only those in developing countries like China. Although investments in R&D may be considered vital to compete at the leading edge of an industry, and governments may even reward investment in R&D, it is necessary to realistically assess the opportunity costs and probably outcomes from such investments by a firm with limited resources compared to those of large multinationals. Firms with limited resources should allocate them to activities and learning efforts that will enable it to compete successfully with its rivals. Developing resources and capabilities that set them apart from otherwise much better funded and endowed rivals represent a better strategic option that attempting to compete on the same basis with such firms. Lenovo’s investments in distribution and produ ct development attuned to Chinese customers, for example, have so far more than offset the reality that its investments in R&D are very small compared to the R&D expenditures of its multinational rivals. However, in the long term, Lenovo needs more R&D or move to a more R&D-focused model. Firms invest in R&D not only to generate innovations, but also to learn from rivals and external knowledge sources (Cohen ,1990).译文联想集团技术创新资料来源:研究与发展管理34,4,2004作者:谢伟,史蒂芬怀特联想集团的发展经验给了我们几个启示,一方面,关于一个新企业竞争战略的学习和能力间的关系,另一方面,关于在特定竞争力下它的性能和体制环境的关系。

双层股权结构公司名单(1980-2014)

双层股权结构公司名单(1980-2014)

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Weston19860717961136108104844094520 O'Brien Energy Systems19860725674448105701646256210 Aaron Spelling Productions198608018478091007019918532142 Adelphia Communications19860812006848105105649500000 American Television & Commun1986081203018710810570101500000 Watts Industries198608219427491021060612573820 QVC Network19860905747262103106369742000 Commonwealth Mortgage of Amer19861008203128103107426220000 Carmike Cinemas19861010143436103107505360000 Scientific Systems19861010808797104107481248297 Metro Mobile CTS1986103159163C1021080117658556 Criterion Group19861105226736106108117505288 Commonwealth Mortgage Amer LP198611122031271057052760000000 Strategic Planning Associates19861120862770104108713212510 Essex Communications19861203296704109109073578965Uni-Marts19861205904571106109086101492 Petroleum Heat and Power198612117166002007094914747949 Baldwin Technology19870115058264102715383000000 Outlet Communications19870121690111109110316350000 Insituform 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融合创新 毁誉参半作文

融合创新 毁誉参半作文

融合创新毁誉参半作文英文回答:Fusion Innovation: A Double-Edged Sword.Fusion innovation has emerged as a promising solution to address the world's growing energy demands while mitigating environmental concerns. By combining elements from different disciplines and technologies, fusion innovation offers the potential to unlock novel and groundbreaking advancements. However, it is essential to acknowledge the inherent complexities and potentialpitfalls associated with this approach.One of the primary benefits of fusion innovation lies in its potential to harness vast and sustainable energy sources. By mimicking the nuclear fusion processes that occur within stars, fusion reactors could generate enormous amounts of energy without producing significant greenhouse gas emissions. This clean and virtually limitless energysource holds the promise of powering our societies for generations to come.Moreover, fusion innovation fosters interdisciplinary collaboration and the cross-pollination of ideas. By bringing together scientists, engineers, and other experts from diverse backgrounds, fusion research encourages a holistic approach to problem-solving. This collaborative environment can lead to breakthroughs that may not have been possible through isolated efforts.However, fusion innovation is not without its challenges. The development of fusion reactors requires a substantial investment of resources and time, as the technology is still in its nascent stages. Furthermore, the construction and operation of fusion reactors pose significant technical and safety concerns. The handling of radioactive materials and the potential for accidents or incidents necessitate rigorous safety protocols and robust regulatory frameworks.Another consideration is the potential social andethical implications of fusion innovation. The deployment of fusion reactors on a large scale may raise questions about resource allocation, equitable access to energy, and the potential for misuse or proliferation of nuclear technology. It is crucial to engage in open and informed public discourse to address these concerns and ensure that fusion innovation aligns with societal values and ethical principles.In summary, fusion innovation presents a tantalizing yet complex path towards sustainable energy solutions. While it holds immense potential to revolutionize our energy landscape, it is essential to proceed with caution and address the technical, safety, and ethical challenges associated with this transformative technology. Careful consideration, transparent decision-making, and robust governance mechanisms are paramount to harness the benefits of fusion innovation while mitigating its potential risks.中文回答:融合创新,一把双刃剑。

新进化论英语

新进化论英语

新进化论英语Evolutionary TheoryThe concept of evolution has captivated the scientific community and the general public for centuries. From the groundbreaking work of Charles Darwin to the modern advancements in genetic research, the theory of evolution has undergone a remarkable transformation, shedding light on the intricate processes that govern the natural world. This paper delves into the foundations of evolutionary theory, its key principles, and the evidence that supports its validity, ultimately highlighting its significance in our understanding of the world around us.At the core of evolutionary theory lies the principle of natural selection proposed by Charles Darwin. This mechanism suggests that individuals within a species possess variations in their traits, and those with the most advantageous characteristics are more likely to survive and reproduce, passing on their advantageous traits to their offspring. Over successive generations, this process leads to the gradual adaptation and transformation of species, enabling them to better suit their respective environments.One of the primary lines of evidence supporting the theory of evolution is the fossil record. The discovery of a vast array of fossilized remains, ranging from simple single-celled organisms to complex multicellular life forms, has provided a tangible timeline of the Earth's biological history. The systematic arrangement of these fossils, with the oldest and most primitive forms at the bottom and the more advanced species towards the top, corroborates the notion of gradual change over time. Furthermore, the presence of transitional fossils, such as the famous Tiktaalik, a fish-like creature with limb-like appendages, demonstrates the gradual evolution of organisms and the interconnectedness of various species.Another compelling evidence for evolutionary theory comes from the field of comparative anatomy. Researchers have observed striking similarities in the anatomical structures of diverse organisms, ranging from the pentadactyl (five-fingered) limb structure shared by mammals, birds, and reptiles to the vestigial structures, such as the remnants of pelvic bones in whales, which point to their ancestral land-dwelling origins. These shared characteristics, often referred to as homologous structures, provide strong evidence for the common evolutionary origin of these species.The advent of modern molecular biology has further bolstered the theory of evolution. The discovery of DNA and the understanding of genetic inheritance have shed light on the mechanisms ofevolutionary change at the most fundamental level. Comparative analysis of the genetic sequences of different species has revealed striking similarities, indicating their shared evolutionary lineage. Moreover, the phenomenon of genetic mutations, which can introduce beneficial or deleterious changes, has been observed to drive the process of natural selection and adaptation.In addition to the fossil record, comparative anatomy, and molecular biology, the theory of evolution is supported by numerous other lines of evidence, including biogeography, developmental biology, and the observed instances of evolution in action, such as the development of antibiotic resistance in bacteria.Despite the overwhelming scientific consensus on the validity of evolutionary theory, it has not been without its critics. Some individuals, motivated by religious or ideological beliefs, have challenged the theory, proposing alternative explanations for the origin and diversity of life. However, the scientific community has consistently reaffirmed the robustness of evolutionary theory, and the vast majority of the evidence continues to support its fundamental principles.In conclusion, the theory of evolution has emerged as one of the most comprehensive and well-supported scientific theories in the modern era. From the groundbreaking work of Charles Darwin to thelatest advancements in molecular biology, the evidence for evolution has continued to accumulate, providing a deep understanding of the mechanisms that govern the natural world. As our scientific knowledge continues to expand, the theory of evolution remains a crucial framework for understanding the origins, adaptations, and diversification of life on Earth.。

超大规模集成电路英语

超大规模集成电路英语

超大规模集成电路英语Diving into the heart of modern technology, the realm of Very Large Scale Integration (VLSI) is a marvel of human ingenuity, where millions of transistors are woven togetheron a single silicon chip, creating the backbone of ourdigital world. This intricate dance of microelectronics is nothing short of a technological symphony, where each component plays a crucial role in processing information at lightning speeds. VLSI has revolutionized industries, from consumer electronics to aerospace, enabling devices that are not only smaller but also more powerful and energy-efficient than ever before.The journey of VLSI began with the quest for miniaturization, pushing the boundaries of what was thought possible. Today, it stands as a testament to human innovation, where the complexity of a circuit can be so vast that itrivals the intricacy of a city's infrastructure. The design process is a meticulous affair, involving architects of the silicon landscape who carefully plan the placement of each transistor and wire to optimize performance and reduce power consumption.As we stand on the cusp of new breakthroughs, VLSI continues to evolve, with technologies like 3D integration promising to stack layers of circuits on top of one another, further increasing the density and capabilities of these chips. The implications are profound, from enabling advancedartificial intelligence algorithms to powering the Internetof Things, where everyday objects become smart and interconnected.The future of VLSI is as bright as the circuits it powers, with ongoing research exploring new materials and designsthat could push the limits of Moore's Law. As we venture deeper into this microcosm, the potential for innovation is boundless, promising a future where the line between reality and the digital world becomes increasingly blurred. The quest for the ultimate VLSI design is not just a pursuit of technological perfection; it is a journey into the very essence of what it means to create and connect in the digital age.。

为老字号注入新能量英语作文

为老字号注入新能量英语作文

为老字号注入新能量英语作文Revitalizing Venerable Brands: A Symphony of Heritage and Innovation.In the ever-evolving tapestry of commerce, venerable brands stand as testaments to the enduring allure of tradition. These established enterprises, often steeped in history and legacy, evoke a sense of nostalgia and familiarity among consumers. However, in an era defined by rapid technological advancements and shifting consumer preferences, it is imperative for these time-honored businesses to adapt to the dynamic market landscape without compromising their cherished heritage.The revitalization of venerable brands requires a delicate balance between preserving their core essence while embracing contemporary trends. This intricate dance requires a multifaceted approach that encompasses product innovation, marketing strategies, and customer engagement.Product Innovation: Harmonizing Tradition with Modernity.The heart of any brand lies in its products or services. For venerable brands, the challenge lies in finding innovative ways to reinvigorate their offerings without straying from their established identity. This can involve incorporating new technologies, exploring novel materials,or introducing fresh flavor profiles while maintaining the fundamental characteristics that have made the brand beloved.For instance, the storied French bakery, Ladurée, has successfully modernized its iconic macarons by introducing new flavors such as rose petal and pistachio. Thesecreations subtly depart from the traditional flavors while still respecting the brand's foundational concept. Similarly, the British luxury automaker, Bentley, has integrated state-of-the-art technologies into its vehicles without sacrificing the elegance and craftsmanship thathave defined the brand for generations.Marketing Strategies: Redefining the Brand Narrative.In today's digital age, marketing plays a pivotal rolein shaping brand perception. Venerable brands must adapt their marketing strategies to resonate with contemporary consumers without alienating their loyal patrons. This involves crafting compelling stories that connect thebrand's heritage with its present-day offerings.Social media platforms offer a unique opportunity for brands to engage with their audiences and build a sense of community. Through carefully curated content, venerable brands can showcase their craftsmanship, share their history, and highlight their ongoing relevance. Furthermore, collaborations with influencers and partnerships with forward-thinking brands can help to introduce the brand to new demographics.Customer Engagement: Fostering Loyalty in the Digital Era.In the past, customer engagement was largely confinedto in-person interactions and traditional advertising. However, the advent of e-commerce and social media has opened up unprecedented opportunities for brands to cultivate relationships with their customers.Venerable brands should leverage these digital channels to provide exceptional customer experiences. This includes responding promptly to inquiries, addressing customer feedback, and offering personalized recommendations. By building strong relationships with their customers, venerable brands can foster a sense of loyalty that transcends generations.Case Study: The Timeless Allure of Louis Vuitton.Founded in 1854, Louis Vuitton is a venerable brand synonymous with luxury and craftsmanship. Over the years, the brand has successfully navigated the changing tides of fashion by embracing innovation while safeguarding its core identity.Louis Vuitton's product line has evolved to includeready-to-wear clothing, accessories, and fragrances. However, the brand's signature monogram canvas remains a cornerstone of its designs. Louis Vuitton has also collaborated with renowned artists and designers, such as Stephen Sprouse and Jeff Koons, to create limited-edition collections that infuse the brand's heritage with contemporary aesthetics.The brand's marketing strategies have also kept pace with the times. Louis Vuitton has a strong presence on social media, where it showcases its products and engages with its audience. The brand has also launched interactive online campaigns that allow customers to experience its products virtually.Conclusion.The revitalization of venerable brands is an ongoing journey that requires a harmonious blend of tradition and innovation. By embracing contemporary trends while honoring their heritage, these businesses can continue to captivate consumers and secure their place in the ever-changinglandscape of commerce. Through product innovation, strategic marketing, and a relentless focus on customer engagement, venerable brands can defy the passage of time and remain relevant for generations to come.。

开启片剂完整性的窗户(中英文对照)

开启片剂完整性的窗户(中英文对照)

开启片剂完整性的窗户日本东芝公司,剑桥大学摘要:由日本东芝公司和剑桥大学合作成立的公司向《医药技术》解释了FDA支持的技术如何在不损坏片剂的情况下测定其完整性。

太赫脉冲成像的一个应用是检查肠溶制剂的完整性,以确保它们在到达肠溶之前不会溶解。

关键词:片剂完整性,太赫脉冲成像。

能够检测片剂的结构完整性和化学成分而无需将它们打碎的一种技术,已经通过了概念验证阶段,正在进行法规申请。

由英国私募Teraview公司研发并且以太赫光(介于无线电波和光波之间)为基础。

该成像技术为配方研发和质量控制中的湿溶出试验提供了一个更好的选择。

该技术还可以缩短新产品的研发时间,并且根据厂商的情况,随时间推移甚至可能发展成为一个用于制药生产线的实时片剂检测系统。

TPI技术通过发射太赫射线绘制出片剂和涂层厚度的三维差异图谱,在有结构或化学变化时太赫射线被反射回。

反射脉冲的时间延迟累加成该片剂的三维图像。

该系统使用太赫发射极,采用一个机器臂捡起片剂并且使其通过太赫光束,用一个扫描仪收集反射光并且建成三维图像(见图)。

技术研发太赫技术发源于二十世纪九十年代中期13本东芝公司位于英国的东芝欧洲研究中心,该中心与剑桥大学的物理学系有着密切的联系。

日本东芝公司当时正在研究新一代的半导体,研究的副产品是发现了这些半导体实际上是太赫光非常好的发射源和检测器。

二十世纪九十年代后期,日本东芝公司授权研究小组寻求该技术可能的应用,包括成像和化学传感光谱学,并与葛兰素史克和辉瑞以及其它公司建立了关系,以探讨其在制药业的应用。

虽然早期的结果表明该技术有前景,但日本东芝公司却不愿深入研究下去,原因是此应用与日本东芝公司在消费电子行业的任何业务兴趣都没有交叉。

这一决定的结果是研究中心的首席执行官DonArnone和剑桥桥大学物理学系的教授Michael Pepper先生于2001年成立了Teraview公司一作为研究中心的子公司。

TPI imaga 2000是第一个商品化太赫成像系统,该系统经优化用于成品片剂及其核心完整性和性能的无破坏检测。

高科技的浪潮英语作文

高科技的浪潮英语作文

高科技的浪潮英语作文标题,The High-Tech Wave: Reshaping the Future。

With the rapid advancement of technology, the world is witnessing an unprecedented wave of innovation that is reshaping every aspect of human life. From artificial intelligence to virtual reality, from biotechnology to quantum computing, the high-tech revolution is propelling humanity into a future that was once unimaginable. In this essay, we will explore the various facets of the high-tech wave and its profound impact on society.One of the most transformative aspects of the high-tech wave is the rise of artificial intelligence (AI). AI, often referred to as the cornerstone of the fourth industrial revolution, is revolutionizing industries ranging from healthcare to finance. Through machine learning algorithms and deep neural networks, AI systems can analyze vast amounts of data, identify patterns, and make predictions with unprecedented accuracy. For example, in healthcare,AI-powered diagnostic tools can assist doctors in detecting diseases at an early stage, leading to better treatment outcomes and improved patient care.Another frontier of the high-tech wave is biotechnology, which holds the promise of revolutionizing healthcare, agriculture, and environmental sustainability. Breakthroughs in gene editing technologies such as CRISPR-Cas9 have opened up new possibilities for treating genetic diseases and developing genetically modified crops with enhanced nutritional value and resilience to environmental stress. Moreover, biotechnology is enabling the development of sustainable alternatives to traditional energy sources, such as biofuels and microbial fuel cells, which could help mitigate climate change and reduce reliance on fossil fuels.In addition to AI and biotechnology, the high-tech wave is also characterized by advancements in robotics and automation. Robots are increasingly being employed in manufacturing, logistics, and even healthcare to perform tasks that are repetitive, dangerous, or require precision beyond human capabilities. For instance, in manufacturing,robots are used to assemble complex products with speed and accuracy, leading to increased productivity and costsavings for businesses.Furthermore, the high-tech wave is driving the proliferation of Internet of Things (IoT) devices, connecting everything from household appliances toindustrial machinery to the internet. This interconnected network of devices enables real-time monitoring, control, and optimization of systems, leading to greater efficiency and convenience. For example, smart home devices can adjust thermostats, lighting, and security systems based on occupants' preferences and behavior, enhancing comfort and energy savings.Moreover, the high-tech wave is unleashing thepotential of virtual reality (VR) and augmented reality (AR) technologies, transforming how we experience and interact with the world. VR immerses users in computer-generated environments, enabling virtual travel, training simulations, and immersive entertainment experiences. On the other hand, AR overlays digital information onto the real world,enhancing productivity, education, and entertainment. For example, AR applications can provide real-time visual guidance in fields such as manufacturing, maintenance, and healthcare, improving accuracy and efficiency.However, along with its numerous benefits, the high-tech wave also poses challenges and concerns that must be addressed. One of the foremost concerns is the ethical implications of AI, particularly regarding issues such as bias in algorithms, privacy infringement, and autonomous weapons. As AI systems become increasingly autonomous and pervasive, ensuring transparency, accountability, and fairness in their design and deployment is crucial to prevent unintended consequences and harm to society.Another challenge posed by the high-tech wave is the potential impact on jobs and the workforce. Automation and robotics have the potential to disrupt traditional industries and eliminate jobs that are repetitive or easily automated. While new jobs and industries may emerge as a result of technological advancements, there is a risk of widening inequality and unemployment if adequate measuresare not taken to retrain and upskill the workforce for the jobs of the future.Furthermore, the rapid pace of technological change raises concerns about digital divide and access to technology. While developed countries and urban areas may benefit from the latest advancements in high-tech infrastructure and services, rural and underprivileged communities may be left behind, exacerbating existing inequalities. Bridging the digital divide and ensuring equitable access to technology is essential to harness the full potential of the high-tech wave for social and economic development.In conclusion, the high-tech wave is reshaping thefuture in profound and unprecedented ways, revolutionizing industries, transforming lifestyles, and redefining thevery fabric of society. From artificial intelligence to biotechnology, from robotics to virtual reality, the possibilities are limitless. However, realizing the full potential of the high-tech wave requires addressing ethical, social, and economic challenges to ensure that its benefitsare shared by all members of society. Only then can we navigate the waves of change and steer towards a future that is not only high-tech but also inclusive and sustainable.。

芯片 唯创新不变

芯片 唯创新不变

芯片唯创新不变作者:暂无来源:《计算机世界》 2013年第44期本报记者王臻无边界创新就像一颗丢在湖里的石子,迅速给传统商业和产业带来了土崩瓦解的改变。

而芯片,还是这场战争的领导者。

12 月2 日,著名的“网络星期一”,高通Qualcomm Toq 智能手表将在这个精挑细选的日子正式上市。

此时,三星首款智能佩戴设备GALAXY Gear,已经在电视上晃了两个多月。

无论是高通的Toq 还是三星的Gear,它们不仅能时刻与手机保持互联状态,还拥有信息提示功能,当它接到电话、短信、电子邮件时,会自动以通知的形式提醒用户,让用户自行决定接受还是忽略这些新信息。

在美国高通公司董事长兼首席执行官保罗·雅各布看来,这种时刻开启、时刻连接和时刻显示的可穿戴技术为用户带来“数字第六感”,只需看一眼手腕或通过耳机,Toq 就会在合适的时间为用户提供所需要的信息。

2013 年,一切都向可穿戴看齐。

这种无边界创新就像一颗丢在湖里的石子,迅速给传统商业和产业带来了土崩瓦解的改变。

而芯片,还是这场战争的领导者。

以体验为中心时尚靓丽的外观,是Gear 和Toq 的卖点,背后的深层意义,是前端厂商更注重用户体验。

在美国高通公司全球市场营销副总裁Dan Novak 心里,Toq 对高通公司的意义非凡。

它是高通向业界展示未来其可穿戴计算技术的实例,告诉业界它给消费者带来的价值。

“与其说高通公司想充分地走向电子消费品的这条路,不如说高通公司想向业界展示最领先的可穿戴计算技术在现实生活中可以怎么实现,也希望它能引领人们对智能手表的热爱。

”为了这款always online 的智能设备,高通花了两年半的时间做整体研发,采用了许多高通的专利技术。

比如Mirasol 显示技术,这是一种时刻开启、时刻可见的反射显示技术,利用环境光为用户提供清晰明亮的视觉体验,即使在强光下也清晰可见;Qualcomm WiPower LE 技术,它真正实现了轻松便捷的“随放随充”无线充电体验;还有立体声蓝牙音频体验,配有首款真正的无线立体耳机,佩戴于耳孔外部,保证了全天使用的舒适性和易佩戴性。

拥抱创新,共创智慧未来英语作文

拥抱创新,共创智慧未来英语作文

拥抱创新,共创智慧未来英语作文Embracing Innovation, Co-creating a Bright FutureIn today's rapidly changing world, innovation has become a key driver for progress and success. The ability to embrace innovation and adapt to new ideas and technologies is crucial for individuals, organizations, and societies to thrive in theever-evolving landscape of the 21st century. By fostering a culture of innovation and collaboration, we can collectively create a smarter and more sustainable future.One of the most important aspects of embracing innovation is being open to new ideas and ways of thinking. This requires a willingness to challenge the status quo and explore unconventional solutions to complex problems. By fostering a mindset of curiosity and experimentation, we can uncover new opportunities and possibilities that can lead to breakthrough innovations.Innovation also requires collaboration and teamwork. No one person has all the answers, and it is through the exchange of ideas and perspectives that truly innovative solutions can be developed. By working together with diverse teams and stakeholders, we can leverage the collective intelligence andcreativity of the group to co-create solutions that are more robust and impactful.Another important aspect of embracing innovation is investing in research and development. By supporting scientific and technological advancement, we can unlock new opportunities for growth and progress. This includes funding research projects, supporting innovative startups, and investing in education and skills development to build a workforce that is equipped to meet the challenges of the future.Innovation also requires a willingness to take risks and learn from failure. Not every new idea will succeed, but it is through experimentation and iteration that we can refine and improve our innovations over time. By viewing failure as a learning opportunity rather than a setback, we can build a culture of resilience and adaptability that is essential for long-term success.In conclusion, embracing innovation is essential for creating a brighter future for all. By fostering a culture of creativity, collaboration, and resilience, we can unleash the full potential of human ingenuity and drive positive change in the world. Together, let us embrace innovation and co-create a smarter and more sustainable future for generations to come.。

数字科创英语作文

数字科创英语作文

数字科创英语作文The rapid advancements in digital technology have transformed the way we live our lives. From the way we communicate and access information to how we work and entertain ourselves, the digital revolution has permeated every aspect of our society. This digital innovation has not only reshaped our personal and social experiences but has also had a profound impact on the business landscape, driving unprecedented growth and disruption across various industries.At the heart of this digital transformation lies the power of data. The exponential growth in the volume, velocity, and variety of data being generated has opened up a world of possibilities for businesses to gain deeper insights, optimize operations, and drive innovation. Companies that have embraced the digital age have been able to harness the power of data to make more informed decisions, streamline processes, and deliver personalized experiences to their customers.One of the most significant developments in the digital landscapehas been the rise of artificial intelligence (AI) and machine learning (ML). These technologies have the ability to process and analyze vast amounts of data, identify patterns, and make predictions with unprecedented accuracy. From personalized product recommendations to predictive maintenance in industrial settings, AI and ML have become indispensable tools for businesses looking to stay ahead of the competition.Another key aspect of digital innovation is the Internet of Things (IoT). The proliferation of connected devices has enabled businesses to gather real-time data from a wide range of sources, from manufacturing equipment to consumer products. By leveraging this data, companies can optimize their operations, improve supply chain efficiency, and enhance the customer experience.The impact of digital innovation is not limited to the private sector; it has also transformed the public sector. Governments around the world are embracing digital technologies to improve public services, enhance citizen engagement, and drive sustainable development. From smart city initiatives that use IoT sensors to optimize infrastructure to digital platforms that enable citizens to access government services more efficiently, the public sector is undergoing a significant transformation.One of the most exciting aspects of digital innovation is the potentialfor disruptive technologies to create entirely new industries and business models. The rise of the sharing economy, exemplified by companies like Uber and Airbnb, has challenged traditional industries and forced established players to rethink their strategies. Similarly, the emergence of blockchain technology has the potential to revolutionize industries such as finance, supply chain management, and even voting systems.As we look to the future, the pace of digital innovation is only set to accelerate. Emerging technologies like quantum computing, 5G, and virtual/augmented reality are poised to transform the way we live, work, and interact with the world around us. These technologies have the potential to unlock new avenues for innovation, create entirely new industries, and solve some of the most pressing global challenges.However, with the rapid advancement of digital technologies, there are also important considerations around data privacy, security, and ethical implications. As we become increasingly reliant on digital systems, it is crucial that we address these concerns and ensure that the benefits of digital innovation are equitably distributed and do not exacerbate existing societal inequalities.In conclusion, the digital revolution has profoundly transformed our world, and the pace of change shows no signs of slowing down.Businesses, governments, and individuals must embrace this digital innovation and harness its power to drive growth, improve efficiency, and create a more sustainable and equitable future. By leveraging the power of data, artificial intelligence, and emerging technologies, we can unlock new opportunities and solve some of the most pressing challenges facing our global community.。

转型创新的英语作文

转型创新的英语作文

转型创新的英语作文Title: Embracing Transformation and Innovation。

In today's dynamic world, the ability to adapt and innovate has become essential for both individuals and organizations. Whether it's adapting to technological advancements, changing market trends, or societal shifts,the concept of transformation and innovation holdssignificant importance. In this essay, we delve into the significance of embracing transformation and innovation and explore how it contributes to personal and organizational growth.Firstly, let's discuss the importance of transformation. Transformation involves a fundamental change in the way we perceive, think, or operate. It requires breaking free from conventional mindsets and embracing new ideas and approaches. In a rapidly evolving world, individuals and organizations that resist transformation often find themselves left behind. Embracing transformation allows usto stay relevant, seize new opportunities, and tackle challenges effectively.One of the key drivers of transformation is innovation. Innovation involves the creation of new ideas, products, or processes that add value and improve efficiency. In today's competitive landscape, innovation is not just a buzzwordbut a necessity for survival. It enables organizations to differentiate themselves, delight customers, and stay ahead of the curve. Similarly, individuals who foster a cultureof innovation within themselves are better equipped toadapt to change and thrive in diverse environments.Moreover, transformation and innovation go hand in hand. Innovation often serves as a catalyst for transformation, sparking change and driving progress. Conversely, transformation provides the fertile ground for innovationto flourish, creating the necessary conditions for newideas to take root and grow. Together, they form a powerful duo that propels individuals and organizations towards success.Now, let's examine how embracing transformation and innovation can benefit both individuals and organizations. For individuals, embracing transformation and innovation opens up new horizons of personal growth and development.It encourages lifelong learning, curiosity, and resilience in the face of adversity. Individuals who are open to transformation are more likely to explore new career opportunities, acquire new skills, and adapt to changing job markets effectively.Likewise, for organizations, embracing transformation and innovation is essential for staying competitive and sustainable in the long run. It fosters a culture of continuous improvement, creativity, and adaptability within the workforce. Organizations that prioritize innovation are more likely to foster employee engagement, attract top talent, and drive business growth. Moreover, they arebetter equipped to anticipate market trends, respond to customer needs, and navigate uncertainties successfully.In conclusion, embracing transformation and innovation is not just a choice but a necessity in today's fast-pacedworld. Whether at the individual or organizational level, the ability to adapt, innovate, and evolve is key tothriving in the face of constant change. By fostering a mindset of transformation and embracing a culture of innovation, we can unlock new possibilities, drive progress, and create a better future for ourselves and generations to come.。

英语作文-电子乐器制造行业市场份额扩大

英语作文-电子乐器制造行业市场份额扩大

英语作文-电子乐器制造行业市场份额扩大In recent years, the market share of the electronic musical instrument manufacturing industry has been expanding rapidly. This growth can be attributed to several factors, including technological advancements, changing consumer preferences, and the increasing popularity of electronic music. As a result, the industry has seen a significant increase in demand for electronic musical instruments, leading to a larger market share for manufacturers.One of the key drivers behind the expansion of the market share in the electronic musical instrument manufacturing industry is the continuous innovation in technology. With the development of new and improved electronic components, manufacturers are able to produce musical instruments with enhanced features and capabilities. For example, the integration of advanced sound synthesis and digital signal processing technologies has allowed for the creation of electronic musical instruments that offer a wide range of sounds and effects, making them highly appealing to musicians and music enthusiasts.Furthermore, the shift in consumer preferences towards electronic music has also played a significant role in the expansion of the market share. As electronic music continues to gain popularity in mainstream culture, there has been a growing demand for electronic musical instruments among musicians and music producers. This trend has created a lucrative market for manufacturers, driving the growth of the industry and contributing to the expansion of their market share.In addition, the increasing accessibility of electronic musical instruments has contributed to the industry's market share expansion. With the availability of affordable and user-friendly electronic musical instruments, more individuals are able to explore and engage in music production and performance. This has led to a broader consumer basefor manufacturers, further driving the growth of the industry and increasing their market share.Moreover, the rise of online music platforms and digital distribution channels has created new opportunities for electronic musical instrument manufacturers to expandtheir market share. As musicians and music producers continue to embrace digital platforms for creating and sharing music, the demand for high-quality electronic musical instruments has surged. Manufacturers have been able to capitalize on this trend by offering products that cater to the specific needs of digital music creators, further solidifying their market share in the industry.In conclusion, the expansion of the market share in the electronic musical instrument manufacturing industry can be attributed to various factors, including technological advancements, changing consumer preferences, and the increasing popularity of electronic music. As manufacturers continue to innovate and adapt to the evolving landscape of the music industry, the market share of electronic musical instruments is expected to continue growing in the foreseeable future. This presents significant opportunities for manufacturers to capitalize on the expanding market and solidify their position in the industry.。

神奇的变幻胶囊作文

神奇的变幻胶囊作文

神奇的变幻胶囊作文英文回答:In the realm of scientific wonder, a remarkable invention has emerged: the transformative capsule. This enigmatic sphere holds the power to alter its composition and properties in response to external stimuli, opening up a world of possibilities.Composed of a novel material known as "metamorphic alloy," the capsule's structure has the extraordinaryability to reorganize its atomic bonds under the influence of electrical currents, magnetic fields, and temperature changes. By manipulating these variables, scientists can seamlessly transition the capsule from a solid state to a liquid, gaseous, or even plasma state.The applications of the transformative capsule are vast and far-reaching. In the medical field, it could revolutionize drug delivery systems, allowing for targetedand controlled release of medications within the body. In the energy sector, it could serve as a versatile energy storage device, storing excess electricity in its liquid state and releasing it as needed in its gaseous form.Beyond these practical applications, the transformative capsule also holds immense potential for exploration and discovery. It could enable scientists to explore extreme environments, such as the depths of the ocean or the vacuum of space, by adapting its molecular structure to withstand harsh conditions.Furthermore, the capsule's ability to transmute its own elements raises intriguing questions about the limits of matter and the nature of reality itself. It suggests that the fundamental building blocks of our universe may be more malleable and interconnected than previously believed.中文回答:神奇的变幻胶囊。

我们有颗强劲的心

我们有颗强劲的心

我们有颗强劲的心
佚名
【期刊名称】《新潮电子》
【年(卷),期】2013(000)017
【摘要】噔,噔噔噔噔,这令调调你熟悉吗?对!这就是无人不知,无人不晓的英特尔的广告旋律,凡是采用了英特尔攀片组的产品的广告,我们都会听见这个熟悉的旋律,还有过目不忘的IntelInside标志。

【总页数】6页(P96-101)
【正文语种】中文
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a r X i v :a s t r o -p h /0408554v 1 30 A u g 2004Mon.Not.R.Astron.Soc.000,1–9(2004)Printed 2February 2008(MN L A T E X style file v2.2)The Group Evolution Multiwavelength Study (GEMS):bimodalluminosity functions in galaxy groupsTrevor es 1⋆,Somak Raychaudhury 1,Duncan A.Forbes 2,Paul Goudfrooij 3,Trevor J.Ponman 1&Vera Kozhurina-Platais 31School of Physics and Astronomy,The University of Birmingham,Birmingham B152TT,UK2Centrefor Astrophysics and Supercomputing,Swinburne University,Hawthorn,VIC 3122,Australia3Space Telescope Science Institute,3700San Martin Drive,Baltimore,MD 21218MNRAS accepted -2004AugustABSTRACTWe present B and R -band luminosity functions (LF)for a sample of 25nearby groups of galaxies.We find that the LFs of the groups with low X-ray luminosity (L X <1041.7erg s −1)are significantly different from those of the X-ray brighter groups,showing a prominent dip around M B =−18.While both categories show lack of late-type galaxies in their central regions,X-ray dim groups also show a more marked concentration of optical luminosity to-wards the centre.A toy simulation shows that in the low velocity dispersion environment,as in the X-ray dim group,dynamical friction would facilitate more rapid merging,thus de-pleting intermediate-luminosity galaxies to form a few giant central galaxies,resulting in the prominent dip seen in our LFs.We suggest that X-ray dim (or low velocity dispersion)groups are the present sites of rapid dynamical evolution rather than their X-ray bright counterparts,and may be the modern precursors of fossil groups.We predict that these groups of low veloc-ity dispersion would harbour younger stellar populations than groups or clusters with higher velocity dispersion.Key words:galaxies:luminosity functions —galaxies:evolution —galaxies:structure —galaxies:groups1INTRODUCTIONGalaxy luminosity functions (LF)provide a means of compari-son between the populations of galaxies of various luminosities in different environments,and contain valuable information about the physical processes that feature prominently in galaxy forma-tion.Models of galaxy formation have been related to observ-able luminosity functions of galaxy populations from the basic principles of White &Rees (1978)to more recent detailed mod-els including stellar evolution,merging,cooling and feedback (White &Frenk 1992;Cole et al.1994;Somerville &Primack 1999;Kauffmann et al.1999;Benson et al.2003).These models are now being put to the test by high-quality photometric obser-vations of wide-field and deep samples of the field and in highly clustered regions.Early researchers,such as Turner &Gott (1976),motivated by the potential usefulness of the LF as a distance indicator,accepted the paradigm that all ensembles of galaxies,from groups to rich clusters,follow a Universal luminosity function.The shape of this luminosity function is usually modelled as (Schechter 1976)φ(L )=(φ∗/L ∗)(L/L ∗)αe −L/L ∗.(1)⋆E-mail:tm@The Schechter function drops sharply at bright magnitudes and rises at the faint end following a power law of slope α,the transition occurring around the luminosity L ∗,φ∗being the normalisation pa-rameter.Field samples usually yield α=−1.0(e.g.,APM-Stromlo,Loveday et al.1995,b J -band),but shallower or steeper slopes have been found (e.g.,LCRS,Lin et al.1996,R -band,α=−0.7;2dF,Madgwick et al.2002,b J -band,α=−1.19).However,accurate photometry of the faint end of the LF re-veals that the LF may be more complex,and features such as dips at intermediate luminosities or an excess of faint galaxies are some-times found,making a single Schechter function a poor fit to the data.Hunsberger et al.(1998)find a dip at M R =−18in the composite LF of 37Hickson compact groups (HCG),an effect which has been found at brighter magnitudes in a few rich clus-ters of galaxies (e.g.Abell 2554,Coma)by various other studies (e.g.Trentham &Tully 2002;Smith et al.1997).Indeed,there has been a recent move towards modelling the LF of brighter galax-ies (M B <−18.5)as Gaussian,and that of the fainter ones with a Schechter function (e.g.Lobo et al.1997;Andreon &Pell´o 2000).This approach seeks to explain the peaks and dips in the LF as due to a varying mix of galaxies of different morphological types in different environments,and highlights the connection be-2Trevor es et al.tween the evolution of galaxies and their local environment(e.g. Ferguson&Sandage1991;Jerjen2001).Furthermore,there has been a lack of consensus about the overall shape of the LF in groups of galaxies. Zabludoff&Mulchaey(2000)found that the LF of X-ray bright groups shows an excess of faint galaxies,with a Schechter index of α=−1.3±0.1,while Mendes de Oliveira&Hickson(1991)find evidence of depletion of faint galaxiesα=−0.2±0.1in HCGs. Zepf et al.(1991)find an intermediate value ofα=−1.0±0.1, similar to that in thefield,in17HCGs,while Hunsberger et al. (1998)find a slight excess of dwarf galaxies when compared to thefield(α=−1.17±0.1)in37HCGs.A possible source of the anomalies between these studies is the subtraction of the extragalactic background,which is sensitive to inhomogeneities in the large-scale structure,and lack of information of group membership,which is in principle redeemable with redshift measurements.Here we suggest that where sufficient redshift and colour in-formation is available,categorising the LF of groups of galaxies in terms of X-ray luminosity(or equivalently,group velocity disper-sion,e.g.,Helsdon&Ponman(2000))is an effective method for investigating the connection between differences in the shapes of group luminosity functions and the local environment,and probing the underlying galaxy populations and history of evolution.In the following section,we present observations of25groups of galaxies,and in§3,compute their luminosity function in the B and R-band,splitting the sample in categories based on their X-ray luminosity.In§4,we use toy-model simulations to qualitatively explain the differences in the LFs of X-ray bright and dim groups, and in§5,we discuss the implications in the context of the evolution of galaxies in groups.We have used H0=70km s−1Mpc−1; q0=0.5throughout.2OBSERV ATIONS AND ANALYSISOur sample of25groups is drawn from the Group Evolution Multi-wavelength Study(Osmond&Ponman2004,GEMS)of sixty groups of galaxies,compiled to incorporate a wide variety of groups representing a wide range of evolutionary stage and local environment.The master sample was compiled by cross-correlating a list of over4000catalogued groups with archival ROSAT PSPC X-ray observations with integration>10ks.A large fraction of these were detected in the X-ray,and for the others we have up-per limits for their X-rayflux.2.1Photometry and calibrationOf this sample,17groups were observed at the2.5m Isaac Newton telescope at the Roque de Los Muchachos Observatory,La Palma, between2000February4–10.The detector used was the prime fo-cus Wide Field Camera(WFC),which is an array of four thinned EEV CCDs,each with an area of2048×4096pixels,each0.33arc-sec across.Each CCD thus can image an area of22.5×11.3ar-cmin of sky,together covering1017sq.arcmin.Images obtained with broadband BVIfilters were processed using standard NOAO IRAF packages.A further8groups were observed with the2.2m ESO/MPI telescope at La Silla observatory using the Wide Field Imager (WFI),between2001August7–10.The WFI is a focal reducer-type mosaic camera with8CCD chips each with2048×4098pix-els,the pixel scale is0.238arcsec providing afield of view for the Figure1.The Cumulative B-band Luminosity Function for25groups of galaxies separated into three categories:X-ray bright groups(triangles),X-ray dim(circles)and X-ray undetected groups(those with no discernible group emission,squares).It is clear that the LF of the X-ray bright groups is different from that of the other two classes,the latter showing a“dip”between−19<M B<−17.We combine the X-ray dim and undetected groups into a single category in the rest of the paper.whole camera of34×33arcmin.Photometry was performed with broadband BRIfilters.Exposures of standard starfields(Landolt 1992)were taken during both observing sessions.The ESO im-ages were reduced using the ESOWFI package implemented within IRAF(Jones&Valdes2000).The average integration times used per image were780s in the B-band,390s in the R-band and290s in the I-band for the INT run, and600s in the B-band,300s in the R-band and180s in the I-band for the ESO run.The median seeing achieved throughout the run was between1.2arcsec FWHM in the Bfilter,1.1arcsec in R and 1.0arcsec in I measured from the brightest unsaturated stars in the field for INT observations and1.3arcsec in the Bfilter,1.1arcsec in R and0.9arcsec in I for ESO observations.2.2Galaxy SelectionImages were identified andfluxes extracted using the SExtractor package(Bertin&Arnouts1996).For all identified objects,po-sitions,magnitudes,fluxes,star/galaxy classifiers andflags were written to a catalogue.The“stellaricity”parameter uses a neu-ral network-based algorithm to classify images.Detections were checked visually and objects with stellaricity>0.9were deemed to be definitely stellar and therefore not subject to further analysis. All objects with FWHM less than the PSF were discarded as noise. All galaxies identified by this procedure were visually inspected, and classified as early(E/S0)or late(S/Irr)types.Afixed aperture,set to be slightly greater than the seeing,was used to obtain magnitudes in allfilters for colour selection.Objects in differentfilters were matched and aperture magnitudes were sub-tracted tofind colours.Galaxies were selected as being likely group members on the basis of their(B−R)colour.A cut-off was selected at(B−R)= 1.7for all groups,which represents a conservative selection crite-rion and removes the majority of background galaxies.This selec-tion criterion was chosen on the basis of the work of Fukugita et al. (1995),where,using colours of galaxies at various redshifts,ob-Bimodal luminosity functions in galaxy groups3 Table1.The sample of groups of galaxies used in this studyNGC52401:24:47.8+09:32:19I35.417541.05GalaxyHCG1001:26:07.4+34:41:27I68.223141.70GroupNGC72001:53:00.4–13:44:18E23.227341.20GroupNGC105202:41:04.8–08:15:21I20.39140.08GalaxyHCG2203:03:31.0–15:41:10E38.72540.68GroupNGC133203:26:17.1–21:20:05E22.918640.81GalaxyNGC156604:20:00.6–54:56:17E20.818440.41GalaxyNGC158704:30:39.9+00:39:43I55.211541.18GroupNGC256308:20:35.7+21:04:04I73.538442.50GroupNGC322710:23:30.6+19:51:54I26.516941.23GalaxyNGC339610:49:55.2+32:59:27I31.210640.53GalaxyNGC360711:16:54.7+18:03:06I23.528041.05GroupNGC364011:21:06.9+03:14:06I28.5211<40.37UndetectedNGC366511:24:43.4+38:45:44I37.28741.11GroupNGC415112:10:32.6+39:24:21I23.0102<40.20UndetectedNGC426112:19:23.2+05:49:31I41.219741.92GroupNGC463612:42:50.4+02:41:24I10.328441.49GroupNGC472512:50:26.6+25:30:06I25.14940.63GalaxyNGC504413:15:24.0–16:23:06I33.242643.01GroupNGC532213:49:15.5+60:11:28I34.916640.71GalaxyHCG6813:53:26.7+40:16:59I41.119141.52GroupNGC584615:06:29.2+01:36:21E29.934641.90GroupNGC714421:52:42.9–48:15:16E26.64140.33GalaxyHCG9022:02:08.4–31:59:30E36.313141.49GroupIC145922:57:10.6–36:27:44E25.622341.28Group4Trevor es etal.Figure2.Differential B-band(left)and R-band(right)Luminosity Function of25GEMS Groups of galaxies:X-ray bright groups(L X>1041.7erg s−1, triangles)and X-ray dim groups(L X<1041.7erg s−1,circles).It is clear that the LF of the dim groups show a“dip”in the LF between−19<M B<−17 and−20<M R<−18.The bright groups too show dips,albeit not so pronounced,in the same intervals.range,fittingβ-profiles after point source removal,extrapolated to estimate the bolometric X-ray luminosity.We characterised the parent groups as X-ray bright if their bolometric X-ray luminosity is more than the median of the sample, L X=1041.7erg s−1,and X-ray dim if less.This X-ray luminosity refers to that of the group plus any central galaxy that might exist. In addition,we add a third category(“X-ray undetected”groups) where there is no discernible group emission,and all the diffuse emission,if any,can be accounted for by emission from individual non-central galaxies in the group.The cumulative galaxian Luminosity Function(B-band)of the 25GEMS Groups in our sample,separated into the three categories described above(X-ray bright,dim and undetected),and plotted for all galaxies together in each category,is shown in Fig.1.A clear difference between the X-ray bright groups and those in the other two categories is immediately evident,with a depletion or‘dip’in the number of galaxies with magnitudes between−19<M B<−17for the latter.In the cumulative LF,as is plotted in Fig.1,this shows up as aflat region in the above magnitude range.The possibility that this dip is due to some of the galaxies be-ing systematically missed can be ruled out,as we are complete to overfive magnitudes dimmer than the position of the dip.Accord-ing to the Poisson statistics used to calculate the error bars,we can also reject the hypothesis that a statisticalfluctuation accounts for the differences between the groups.3.1X-ray bright and dim groupsThere is no significant difference,as revealed by the Kolmogorov-Smirnov(KS)test,between the shape of the luminosity functions of the X-ray dim and the X-ray undetected groups(circles and squares in Fig.1).Therefore,for the rest of the paper we will combine them into a single category of X-ray dim groups.The LFs of the groups of Fig.1are now re-plotted into two categories of X-ray bright(L X>1041.7erg s−1)and dim(those that have lower X-ray luminosity).The differential B-band and R-band luminosity functions are plotted in Fig.2.The null hypothesis that the two distributions were drawn from the same population was rejected at the99.999%level of confidence for both LFs shown in Fig.2.These LFs clearly show the position of the dip for the X-ray Figure3.Cumulative B-band Luminosity Function of25GEMS Groups of galaxies grouped into the same categories as2The former isfit with a single Schechter function,whereas the superposed curve on the latter represent two Schechter functions.dim groups,between−19<M B<−17and−20<M R<−18 respectively.Interestingly,the X-ray bright group LFs also show a slight dip in the same interval,though by far not as prominently, such that it is not easily apparent from the corresponding cumula-tive LF(B-band only,Fig.3).Wefit the luminosity function of X-ray bright groups with a single Schechter function of the form(1),yielding bestfit values in the B-band of M∗=−20.1±0.1andα=−1.04±0.01,with the reducedχ2for thefit being0.9.It is clear that the LF of the X-ray dim groups in Fig.2is not well-fit by a single smooth function:an attempt tofit it by a single Schechter function yielded a reducedχ2 of54.If wefit the LF in this category with two Schechter functions, we obtain,for the bright end,M∗=−20.5±0.1andα=−0.04±0.01,whereas for the faint end,the bestfit yields M∗=−14.0±0.1andα=−1.01±0.01.Fig.4shows the differential and cumulative B-band LFs sep-arately for early-type and late-type galaxies,for both X-ray bright and faint parent groups.The LF of early-type galaxies shows aBimodal luminosity functions in galaxy groups5Figure 4.B -band luminosity functions for early and late-type galaxies for the X-ray dim (left)and bright (right)groups.The histograms show the differential LFs (solid:early,dotted:late),whereas the points represent the cumulative LFs (triangles:early,circles:late).Figure 5.The fraction of late-type galaxies as a function of absolute mag-nitude,for the X-ray dim (left)and bright (right)groups.The X-ray dim groups have a lower fraction of late-type galaxies at the bright end.significant dip in the X-ray dim systems,where there is none for the brighter systems (right panel).Even though the LF of late-type galaxies seems to have a peak at the brightend for the X-ray bright groups,the small numbers involved (Fig.5)make the errors on each point considerably large and the brighter end of the late-type LF rather unreliable for these systems.3.2The radial distribution of galaxy lightHaving looked at the relative distribution of galaxies of different luminosities in the group as a whole,we now turn to the distri-bution of light as a function of distance from the centre of each group.The centre and overdensity radius R 500for each group are taken from Osmond &Ponman (2004).The total blue light within the same scaled (projected)radius R/R 500=0.3is lower,and more centrally peaked,in X-ray dim groups than in X-ray bright groups (Fig.6),suggesting that the groups in the former category are dynamically evolving.The average number of bright (M B <−17)early and late-type galaxies is plotted as a function of radial distance in Fig.7.Both the X-ray bright and dim groups show a distribution of early-type galaxies that is centrally concentrated,though the X-ray dimFigure 6.The mean B luminosity of all galaxies in high L X and low L X groups as a function of radius (expressed in terms of the standard radius R 500,determined from the group temperature).The luminosity within the same scaled projected radius R/R 500=0.3is lower in X-ray dim groups (solid histogram)than in X-ray bright groups (dotted histogram),suggesting that the latter are closer to a stage of virialisation.groups display a far more centrally peaked distribution of galax-ies than their X-ray bright counterparts.A KS test shows that the null hypothesis of the two distributions being drawn from the same sample is rejected at the 99.98%level of confidence.This is con-sistent with the observation that late-type galaxies tend to avoid the central regions of both kinds of groups,in addition to being rare in X-ray bright ones (as seen in Fig.5).3.3Comparison with the Coma Cluster and the Leo I group To compare our LFs with those of other studies,photometric im-ages were obtained of the Coma Cluster and the Leo I group,dur-ing the same INT observing run as the Northern GEMS groups and with the same instrumental setup,in 2000February.We plot the differential R -band luminosity function for the6Trevor es etal.Figure 7.Average number of bright (M B <−17)early and late-type galaxies,plotted as function of scaled projected radius,in (left panel)X-ray dim groups and (right panel)X-ray bright groups respectively.Both categories of group show a distribution that is centrally concentrated,and a lack of late-type galaxies in the central regions.However,the X-ray dim groups display a more centrally peaked distribution of early-type galaxies than their X-ray bright counterparts.Comacluster,following colour selection of member galaxies as above,in Fig.8.The background subtraction employed here is a scaled (by relative area)version of that used by Secker et al.(1997),to facilitate direct comparison.The result is consistent with the Secker et al.(1997)LF within the errors.Small differences can be explained by the fact that we use different regions of the Coma cluster (which could be significant,as found by Beijersbergen et al.(2002)),and the membership criteria applied are slightly different.Our Coma LF looks reassuringly similar to that of Secker et al.(1997),and reveals a shallow dip reminiscent of the X-ray bright GEMS groups,albeit in the slightly brighter absolute magnitude range −20<M B <−18.Similar dips have been ob-served in other individual rich clusters (e.g.Abell 2554,Smith et al.1997),though it does not seem to be a common property of the luminosity functions of rich clusters,as is apparent from the com-posite LF of clusters in the 2dFGRS (de Propris et al.2003).With an X-ray luminosity of L X =7.3×1044erg/s (Ebeling et al.1998),the Coma cluster is a couple of orders of magnitude more luminous than our brightest GEMS group (see Table 1).The Leo I group is a well-known nearby (v ∼950km s −1)group of galaxies,its proximity means that it has received attention from many researchers,notably Ferguson &Sandage (1991).More recently,Flint,Bolte,&Mendes de Oliveira (2003)have probed the faint end of the R -band LF of this group down to M R ∼−10.Fig.9shows our determination of the LF of Leo I,which agrees well with both of the above studies.Perhaps the most striking feature of the Leo I group LF is the lack of intermediate magnitude galaxies.We fit the cumulative LF with two Schechter functions,as above for X-ray dim groups,obtaining M ∗=−14.0±0.1and α=−1.20±0.01for the faint end (M R >−18).This seems to be a rather extreme analogue of the LFs of the GEMS X-ray dim groups and indeed no group X-ray emission has been detected in the Leo I group.4GALAXY MERGERS AND GROUP EVOLUTION Mergers play an important role in the evolution of galaxies in groups.Once a group has formed from gravitational collapse,vio-lent relaxation no longer plays an important role,and the system re-Figure 8.Differential R -band Luminosity Function for the Coma cluster.Our results are plotted alongside Secker et al.(1997)to allow direct compar-ison.The LF of Coma is similar to that of our X-ray bright groups,though the dip occurs in a brighter magnitude range.Figure 9.R -band Luminosity Function of the Leo I group.Both differential and cumulative LFs are plotted.The LF of Leo I,which hasn’t been detected in the X-ray,is similar to that of our X-ray dim groups.laxes thereafter predominantly through two-body interactions.Dy-namical friction causes galaxies to fall towards the centre of the group,and together with time-dependent tidal forces,help to redis-tribute the ordered orbital kinetic energy,allowing the galaxies to merge.Since the deceleration due to dynamical friction is inversely proportional to the square of the relative velocity of the interacting galaxies,it is more likely to be effective in those groups with low velocity dispersion.Here we have categorised groups according to their X-ray lu-minosity,since there are too few known galaxy redshifts for most of the sample groups to allow reliably measuring their velocity dispersion.Since there is a power-law relation between L X and σ(Helsdon &Ponman 2000),we have assumed our X-ray dim groups to be of lower velocity dispersion than the X-ray bright groups.Qualitatively,therefore,we can suggest a link between merger-driven evolution and the velocity dispersion of the group,Bimodal luminosity functions in galaxy groups7 Figure10.The shape of the differential luminosity function of the group,according to our toy model described in Section4,after a period of4Gyr,starting from50galaxies distributed according to the luminosity func-tion shown(solid line),for groups of one-dimensional velocity dispersionσe=250,350and450km/s.Note that a dip appears at intermediate lumi-nosities(−18<M B<−16)for the lowestσe group.to explain the development of the bimodal shape of the LF in X-raydim groups,where mergers are more likely.To examine the role of mergers in the long-term evolution ofthe group luminosity function more quantitatively,we constructa toy model of a group,starting with50galaxies with spheri-cal haloes,drawn from the initial luminosity function shown inFig10,assumed evenly distributed within a radius of R=1Mpc.Afixed mass-to-light ratio is assumed,so that mass scales sim-ply with luminosity.The distribution of mass within each galaxyis assumed to follow a Plummer model,and the internal velocitydispersion of each galaxy is calculated from the Faber-Jackson re-lationσi=220(L/L∗)0.25km/s(Binney&Merrifield1998).We follow Makino&Hut(1997)in calculating the rate ofmerger of pairs in this ensemble,which varies as R−3V r2hσ4iσ−3e,where r h is the half-mass radius of each galaxy(taken to be 0.77R V for a Plummer model),andσi andσe the one-dimensional velocity dispersion of each galaxy and the group respectively.This derivation assumes that the group is in dynamical equilibrium,and that velocities of galaxies within it follow a Maxwellian distribu-tion.Following the prescription of Makino&Hut(1997),we apply a correction factor of0.25to the merger rate to account for afinite limit of the binding energy of a galaxy for tidal disruption.Now here is why we call the model we use a“toy”one.Since the Makino&Hut(1997)merger rate applies to galaxies of identi-cal mass,we calculate the merger rate separately in each luminos-ity bin(i.e.we allow only for mergers of equal mass galaxies).This exercise is merely meant to examine how fast galaxies of various luminosities merge,and whether the bimodal nature can develop preferentially in low-dispersion systems.As two galaxies merge,the light is re-distributed according to the galaxy mass.After a period of evolution T,the new galaxy mag-nitudes are estimated,the LF plotted and the merger rate of the new population calculated.Fig.10shows the result after T=4Gyrs for three different groups of one-dimensional velocity dispersion σe=250,350and450km/s respectively.The lower the velocity dispersion of the group,the higher the evidence of evolution,par-ticularly in the formation of a few galaxies at the bright end of the LF.Fig.11shows the evolution of the differential LF of three groups,of one-dimensional velocity dispersionσe=250,350and 450km/s respectively,after time steps T=1,2and4Gyrs,accord-ing to the same model.Even though we do not expect this model to be a realistic representation of a real group,this simulation does illustrate an important point.As time goes by,the faint end of the luminosity function remains featureless,while at the bright end, one or two very bright galaxies develop in the low-dispersion sys-tems like the ones illustrated in Fig.11,at the cost of intermediate-luminosity galaxies,which leads to the formation of a dip at these luminosities.This effect is more prominent for the lower-σe sys-tems,where dynamical friction is expected to be more effective in ensuring that galaxies fall towards the centre of the group potential, as well as facilitating galaxy interactions and mergers.We also note that in this formalism,only mergers between equal-mass galaxies are considered.A more realistic model would tend to enhance the effect of differentiation between the low-mass and high-mass galaxies,since the probability of merger between a high-mass and low-mass galaxy would be higher than that between two low-mass ones,and the bright end of the LF would be progres-sively enhanced as a result of mergers.5DISCUSSION AND CONCLUSIONSAs the exercise with the toy model in the previous section illus-trates,if one starts with a Schechter luminosity function and lets a group evolve with time,the LF does not appear to evolve uniformly as dwarfs merge to form brighter and larger galaxies,but a number of factors have the potential to alter the total group LF over time.Observations of dwarf galaxies in our local neighbourhood, particularly in the Local Group,shows us that dwarf ellipticals and spheroidals are preferentially clustered around the brighter galax-ies.Statistical analyses of the distribution of satellites around giant galaxies(Lorrimer et al.1994;Loveday1997)indicate that faint companions are more strongly clustered about the primary galaxy than their brighter counterparts.The collision time for galaxies in a group is proportional to R−2,where R is the radius of a spherical galaxy.Galaxies vary widely in size;for a galaxy with absolute magnitude M B=−18, a spiral would typically have R∼20kpc,whereas an elliptical R∼5kpc(Carroll&Ostlie1996).The faint end of the LF is dom-inated by dwarf ellipticals and spheroidals that are less likely to merge with each other than bright or intermediate luminosity spi-rals.Indeed,we would expect the merger of a dwarf satellite with its parent bright galaxy to be a more likely event than two dwarfs merging to form an intermediate luminosity galaxy.In the Local Group(an X-ray dim group),there is direct evidence of this hap-pening with satellites of our galaxy.The Sagittarius dwarf galaxy, for example,is in the process of being accreted by the Milky Way(Ibata et al.1994),and indeed there is evidence of streams across the sky consisting of remnants of satellites being tidally torn apart by the Milky Way in the process of eventual mergers (Lynden-Bell&Lynden-Bell1996).As the low-mass dwarfs merge with the high-mass galaxies, we can expect the shape of the faint end of the total group lu-minosity function to retain its initial shape as the group evolves. The bright end of the LF in groups and clusters,on the other hand,can be expected to be modified as the brightest galaxies grow in luminosity due to mergers between the brighter galaxies,and。

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