ABSTRACT Machine learning (ML), material genome, and big data approaches are highly overlapped in their strategies, algorithms, and models. They can target various definitions, distributions, and correlations of concerned physical parameters in given polymer systems, and have expanding applications as a new paradigm indispensable to conventional ones. Their inherent advantages in building quantitative multivariate correlations have largely enhanced the capability of scientific understanding and discoveries, thus facilitating mechanism exploration, target prediction, high‐throughput screening, optimization, and rational and inverse designs. This article summarizes representative progress in the recent two decades focusing on the design, preparation, application, and sustainable development of polymer materials based on the exploration of key physical parameters in the composition–process–structure–property–performance relationship. The integration of both data‐driven and physical insights through ML approaches to deepen fundamental understanding and discover novel polymer materials is categorically presented. Despite the construction and application of robust ML models, strategies and algorithms to deal with variant tasks in polymer science are still in rapid growth. The challenges and prospects are then presented. We believe that the innovation in polymer materials will thrive along the development of ML approaches, from efficient design to sustainable applications.
Not everyone here is a hero, which adds to the very human quality of the volume— people made mistakes and suffered, but those who survived have stories to tell. These stories are well worth our attention. Of course, the comparisons to Maus will be inevitable, as is true for every serious work of graphic narrative written since Spiegelman’s work debuted. But it does this volume an injustice not to take it on its own terms. We’re Still at War vivifies the pain and suffering of these Czech witnesses , from the Second World War through the long Communist era, and provides the reader with historical and emotional insights. Rita D. Jacobs New York City Steven Pinker Enlightenment Now:The Case for Reason, Science, Humanism, and Progress New York. Viking. 2018. 576 pages. The heart of Steven Pinker’s important new book is in its title: Enlightenment Now. It is a stalwart defense of the ideals of the Enlightenment, recasting them “in the language and concepts of the twenty-first century.” The “Now” in the title and the timing of the book’s publication are by no means coincidental—Enlightenment Now appears both universally applicable as well as acutely relevant in today’s global sociopolitical climate. Pinker divides his book into three parts, using the first to set out what enlightenment is; he identifies humanism—the striving for the flourishing of all humans— as setting its goal and reason and science as guiding its methodology. In the second part, he embarks on a tour de force through fields as diverse as happiness, war, and knowledge to show how, over the last centuries, humans have evoked Enlightenment ideals to bring about substantial progress in each of them. One of the book’s most impressive features is that Pinker’s arguments are not only made in his usual wit and multitude of cultural and intellectual references but also come with a rather impressive wealth of data and historical trends, be those the global decline in extreme poverty and war or the global increase of life expectancy, knowledge , equality, and happiness. Following the staggering optimism of the book’s second part, Pinker places his defense of Enlightenment ideals in the third, cautioning us that progress will not continue inevitably—it is contingent on the ideals that underlie it. One might view reason, science, and humanism to be self-evident. Sadly, history and current events remind us otherwise. And arguably even more important, our own personal biases might infringe on these ideals much more heavily than we are ready to admit. In an age of rekindling nationalism and xenophobia, a defense of democracy, reason , and science is increasingly necessary. Where “[i]n area after area, the world has been getting more rational, [t]here is . . . a flaming exception: electoral politics and the issues that have clung to it.” Throughout the book, Pinker uncovers patterns and fallacies of human thought, which become particularly relevant in our political tribalism . Both on the left and on the right, we subscribe to ideas and vote not primarily for content but for identity alignment. We tend to quickly forgive the indiscretions of those in our own party while rejecting ideas that we might otherwise endorse, purely based on our party’s position. Public discourse today, particularly in the US, is dominated not only by an ever more divergent dichotomy of positions and methodologies but also by rising negativity and fatalism both from the political left and the right. However, Pinker argues that such a “bleak assessment of the state of the world . . . couldn’t-be-more-wrong,” pointing toward the difference between episodes that shape our perceptions and longer-term trends that frequently directly contradict these perceptions. Some may be critical of the level of optimism that Pinker shows for such momentous issues as climate change or artificial general intelligence. Others have spoken out against the case that Pinker makes about the antireason tendencies of universities and the political left more generally. But regardless of one’s views on such points, Pinker’s Enlightenment Now comes at a crucial time, in which we have to concede that “the end of history” as proclaimed by Francis Fukuyama in his synonymous...
Progress in Surface and Membrane Science, Volume 6 covers the developments in the study of surface and membrane science. The book discusses the progress in surface and membrane science; the solid state chemistry of the silver halide surface; and the experimental and theoretical aspects of the double layer at the mercury-solution interface. The text also describes contact-angle hysteresis; ion binding and ion transport produced by neutral lipid-soluble molecules; and the biophysical interactions of blood proteins with polymeric and artificial surfaces. Physical chemists, biophysicists, and phys
Preface 1. The End of the Age of Physics Science and Technology Policy * Policy Goals and Policy Myths * Beyond the Age of Physics: Science, Technology, and Reality 2. The Myth of Infinite Benefit 3. The Myth of Unfettered Research External Fetters: Teapot in a Tempest * Internal Fetters: The Maleness of the System * Unfettered Reality 4. The Myth of Accountability 5. The Myth of Authoritativeness DNA Fingerprinting: Disorder in the Court * Global Climate Change: An Atmosphere of Uncertainty * Stratospheric Ozone Depletion: Getting It Right (by Accident) * Authoritative Politics 6. The Myth of the Endless Frontier Endless Frontier, Finite Earth * Moral Science 7. Pas de Trois: Science, Technology, and the Marketplace The Sound of Invisible Hands Clapping * Nobody's Partner 8. Science as a Surrogate for Social Action Sickness Care * The Best Defense * Tailoring People to Taste 9. Toward a New Mythology Five Policy Suggestions * 1. Expanding Diversity * 2. Integrating the Human Element * 3. Honest Brokers * 4. Introducing Democracy * 5. The Global R&D Community * The Search for Ellipses Notes Index
Science and technology development have become critical instruments in the public policy arena given their demonstrated impact on economic progress. As a consequence, a vast array of indicators for measuring and mapping scientific and technological activity, their progress and their outcomes, has been developed over recent decades (see for instance, the EU Commission, 2nd Report on S&T Indicators 1997). The majority of them relate to measuring and mapping the published journal and patent literature. The first part of this review paper focuses on a state–of–the–art overview of bibliometric indicators and their multiple uses in supporting the development of science and technology policy. The limitations and the pitfalls related to their use are also discussed.
BACKGROUND: There has been recent systematic review of key evidence in psychosocial intervention in autism but little review of biological treatments. METHODS: We analyse the current literature from the perspective of intervention and mechanism targets across social and biological development. RESULTS: The overall quality of trials evidence in autism intervention remains relatively low, despite some recent progress. Many treatments in common use have little or no evidence base. This is very concerning in such an important disorder. A variety of psychosocial interventions can show effect to improve some short-term effects on children's immediate dyadic social interactions, for instance with caregivers. But showing true effectiveness in this developmental disorder requires generalisation of such effects into wider social contexts, on autism symptoms and in long-term progress in development. Only a few interventions so far have begun to show this. A number of early phase interventions on biological targets have shown real promise, but none has yet progressed to larger scale effectiveness trials on behavioural or symptom outcomes. CONCLUSIONS: There has been enough progress in psychosocial intervention research now to be able to begin to identify some evidence-based practice in autism treatment. To consolidate and improve outcomes, the next phase of intervention research needs improved trial design, and an iterative approach building on success. It may also include the testing of potential synergies between promising biological and psychosocial interventions.
We need teams in nearly every aspect of our lives (e.g., hospitals, schools, flight decks, nuclear power plants, oil rigs, the military, and corporate offices). Nearly a century of psychological science has uncovered extensive knowledge about team-related processes and outcomes. In this article, we draw from the reviews and articles of this special issue to identify 10 key reflections that have arisen in the team literature, briefly summarized here. Team researchers have developed many theories surrounding the multilayered aspects of teams, such that now we have a solid theoretical basis for teams. We have recognized that the collective is often stronger than the individual, initiating the shift from individual tasks to team tasks. All teams are not created equal, so it is important to consider the context to understand relevant team dynamics and outcomes, but sometimes teams performing in different contexts are more similar than not. It is critical to have teamwork-supportive organizational conditions and environments where psychological safety can flourish and be a mechanism to resolve conflicts, ensure safety, mitigate errors, learn, and improve performance. There are also helpful teamwork competencies that can increase effectiveness across teams or tasks that have been identified (e.g., coordination, communication, and adaptability). Even if a team is made up of experts, it can still fail if they do not know how to cooperate, coordinate, and communicate well together. To ensure the improvement and maintenance of effective team functioning, the organization must implement team development interventions and evaluate relevant team outcomes with robust diagnostic measurement. We conclude with 3 main directions for scientists to expand upon in the future: (a) address issues with technology to make further improvements in team assessment, (b) learn more about multiteam systems, and (c) bridge the gap between theory and practice. In summary, the science of teams has made substantial progress but still has plenty of room for advancement. (PsycINFO Database Record
Recent Progress in Surface Science, Volume 2 is a 10-chapter text that covers the significant advances in some aspects of surface science, including in catalysis, genetic control of cell surface, and cell membrane. The opening chapter deals with the major factors affecting adsorption at the gas-solid interface. The subsequent chapters explore the advances in understanding of heterogeneous catalysis in terms of fundamental surface processes, as well as the concept of dynamic contact angles. These topics are followed by discussions on emulsions, flotation, and the extraordinary complexity of cel
Complex coacervation is an associative, liquid-liquid phase separation that can occur in solutions of oppositely-charged macromolecular species, such as proteins, polymers, and colloids. This process results in a coacervate phase, which is a dense mix of the oppositely-charged components, and a supernatant phase, which is primarily devoid of these same species. First observed almost a century ago, coacervates have since found relevance in a wide range of applications; they are used in personal care and food products, cutting edge biotechnology, and as a motif for materials design and self-assembly. There has recently been a renaissance in our understanding of this important class of material phenomena, bringing the science of coacervation to the forefront of polymer and colloid science, biophysics, and industrial materials design. In this review, we describe the emergence of a number of these new research directions, specifically in the context of polymer-polymer complex coacervates, which are inspired by a number of key physical and chemical insights and driven by a diverse range of experimental, theoretical, and computational approaches.
Livestock genomics has gone through a paradigm shift since the advent of genome sequencing that includes Genome-Wide Association Studies (GWAS), Whole Genome Predictions (WGP) and Genomic Selection (GS). Beginning with a brief review of current progress and challenges in livestock GWAS, WGP and GS, opportunities for next generation methods are introduced that unravel the underlying systems genetics of complex traits and provide biologically meaningful and accurate predictions. Genome-Wide Epistasis Association (GWEA) and Weighted Interaction SNP Hub (WISH) network methods are introduced here to unravel complex trait genetics. These methods effectively address the problems of GWAS that have no ability to model and analyze genome-wide genetic interactions and thus do not capture any epistatic variance that could explain part of the missing heritability. Further, the Systems genomic BLUP (sgBLUP) prediction method is introduced in this paper as a next generation WGP or GS tool that can account for and differentiate SNPs with known biological roles in the phenotypic or disease outcomes and potentially increase the accuracy of prediction. It is emphasized that tools that link genetic variants to their functions, pathways and other biological roles will become even more important in the future. These tools include FunctSNP, Postgwas and NCBI2R which are briefly discussed. Genome-Wide Gene Expression (Transcriptomics) analyses using RNAseq technology are briefly discussed with some examples including results from our own pig experiments. In the last part of this review, systems genetics and systems biology approaches are introduced that involve joint modeling and analyses of multi-omics data types from genomics through transcriptomics (microarray and RNAseq), metabolomics to proteomics. It is shown using published studies that these systems approaches are valuable and powerful compared to stand-alone genomic methods in identifying key causal and highly predictive genetic variants for complex traits as well as in building up complex genetic regulatory networks. In all sections, some applications of next generation/-omics methods in livestock species (e.g. feed efficiency, growth, weight gain, fertility and disease resistance in cattle, pigs and sheep) are provided with references to relevant software and tools. In conclusion, this paper reviewed the current progress, lessons and challenges in livestock genomics and its ongoing transition to and opportunities for integrative systems genetics and systems biology in animal and veterinary sciences. Most of these integrative systems genetics and systems biology tools and methods presented here are equally applicable to plant and human genetics and systems biology.
This article questions the centrality of interest-based explanation in political science. Through an examination of the “turn to ideas” undertaken in the past decade by rationalist and nonrationalist scholars in both comparative politics and international relations, it seeks to make three points. First, interests are far from the unproblematic and ever-ready explanatory instruments we assume them to be. Second, the ideational turn of historical institutionalism and constructivist international relations theory marks a substantive theoretical shift in the field precisely because it problematizes notions of action that take interest as given. Third, such scholarship emerged from, and in reaction to, the inherent limits of rationalist treatments of interests and ideas. That it did so suggests that progress in the discipline may be more dialectic—rather than linear or paradigmatic—than we realize.
This chapter reviews the training research literature reported over the past decade. We describe the progress in five areas of research including training theory, training needs analysis, antecedent training conditions, training methods and strategies, and posttraining conditions. Our review suggests that advancements have been made that help us understand better the design and delivery of training in organizations, with respect to theory development as well as the quality and quantity of empirical research. We have new tools for analyzing requisite knowledge and skills, and for evaluating training. We know more about factors that influence training effectiveness and transfer of training. Finally, we challenge researchers to find better ways to translate the results of training research into practice.
This two-part Review examines how automation has contributed to different aspects of discovery in the chemical sciences. In this first part, we describe a classification for discoveries of physical matter (molecules, materials, devices), processes, and models and how they are unified as search problems. We then introduce a set of questions and considerations relevant to assessing the extent of autonomy. Finally, we describe many case studies of discoveries accelerated by or resulting from computer assistance and automation from the domains of synthetic chemistry, drug discovery, inorganic chemistry, and materials science. These illustrate how rapid advancements in hardware automation and machine learning continue to transform the nature of experimentation and modeling. Part two reflects on these case studies and identifies a set of open challenges for the field.
This themed issue of Chemical Society Reviews reviews recent progress made in hybrid materials science. Guest editors Clément Sanchez, Susumu Kitagawa and Ken Shea introduce the issue and the academic and industrial importance of the field.
Vascular endothelial growth factor (VEGF) is an endothelial cell-specific mitogen in vitro and an angiogenic inducer in a variety of in vivo models. Hypoxia has been shown to be a major inducer of VEGF gene transcription. The tyrosine kinases Flt-1 (VEGFR-1) and Flk-1/KDR (VEGFR-2) are high-affinity VEGF receptors. The role of VEGF in developmental angiogenesis is emphasized by the finding that loss of a single VEGF allele results in defective vascularization and early embryonic lethality. VEGF is critical also for reproductive and bone angiogenesis. Substantial evidence also implicates VEGF as a mediator of pathological angiogenesis. In situ hybridization studies demonstrate expression of VEGF mRNA in the majority of human tumors. Anti-VEGF monoclonal antibodies and other VEGF inhibitors block the growth of several tumor cell lines in nude mice. Clinical trials with various VEGF inhibitors in a variety of malignancies are ongoing. Very recently, an anti-VEGF monoclonal antibody (bevacizumab; Avastin) has been approved by the Food and Drug Administration as a first-line treatment for metastatic colorectal cancer in combination with chemotherapy. Furthermore, VEGF is implicated in intraocular neovascularization associated with diabetic retinopathy and age-related macular degeneration.
Pedagogical content knowledge (PCK), since its inception as teacher‐specific professional knowledge, has been researched extensively. Drawing on a wide range of literature, this paper seeks to clarify how the potential offered by PCK could be utilised to further develop science teacher education. An analysis of PCK models proposed by various researchers, together with methods of elucidating PCK in experienced and novice teachers, is provided. The paper argues that making PCK more explicit in the teacher education process may help novices adjust to teaching, as well as aiding experienced teachers in developing more reflective practices.
Because of its serious large-scale effects on ecosystems and its transboundary nature, acid rain received for a few decades at the end of the last century wide scientific and public interest, leading to coordinated policy actions in Europe and North America. Through these actions, in particular those under the UNECE Convention on Long-range Transboundary Air Pollution, air emissions were substantially reduced, and ecosystem impacts decreased. Widespread scientific research, long-term monitoring, and integrated assessment modelling formed the basis for the policy agreements. In this paper, which is based on an international symposium organised to commemorate 50 years of successful integration of air pollution research and policy, we briefly describe the scientific findings that provided the foundation for the policy development. We also discuss important characteristics of the science-policy interactions, such as the critical loads concept and the large-scale ecosystem field studies. Finally, acid rain and air pollution are set in the context of future societal developments and needs, e.g. the UN's Sustainable Development Goals. We also highlight the need to maintain and develop supporting scientific infrastructures.
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ABSTRACT The simple view of reading is commonly presented to educators in professional development about the science of reading. The simple view is a useful tool for conveying the undeniable importance—in fact, the necessity—of both decoding and linguistic comprehension for reading. Research in the 35 years since the theory was proposed has revealed additional understandings about reading. In this article, we synthesize research documenting three of these advances: (1) Reading difficulties have a number of causes, not all of which fall under decoding and/or listening comprehension as posited in the simple view; (2) rather than influencing reading solely independently, as conceived in the simple view, decoding and listening comprehension (or in terms more commonly used in reference to the simple view today, word recognition and language comprehension) overlap in important ways; and (3) there are many contributors to reading not named in the simple view, such as active, self‐regulatory processes, that play a substantial role in reading. We point to research showing that instruction aligned with these advances can improve students’ reading. We present a theory, which we call the active view of reading, that is an expansion of the simple view and can be used to convey these important advances to current and future educators. We discuss the need to lift up updated theories and models to guide practitioners’ work in supporting students’ reading development in classrooms and interventions.
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