bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biopolitical Screens
Authors: Väliaho Pasi 
Published: January 2019

An investigation of the aesthetics and politics of new visual media under twenty-first-century capitalism, from console games to virtual reality to video installation art.
In Biopolitical Screens, Pasi Väliaho charts and conceptualizes the imagery that composes our affective and conceptual reality under twenty-first-century capitalism. Väliaho investigates the role screen media play in the networks that today harness human minds and bodies—the ways that images animated on console game platforms, virtual reality technologies, and computer screens capture human potential by plugging it into arrangements of finance, war, and the consumption of entertainment. Drawing on current neuroscience and political and economic thought, Väliaho argues that these images work to shape the atomistic individuals who populate the neoliberal world of accumulation and war.
Väliaho bases his argument on a broad notion of the image as something both visible and sayable, detectable in various screen platforms but also in scientific perception and theoretical ideas. After laying out the conceptual foundations of the book, Väliaho offers focused and detailed investigations of the current visual economy. He considers the imagery of first-person shooter video games as tools of “neuropower”; explores the design and construction of virtual reality technologies to treat post-traumatic stress disorder in veterans of Iraq and Afghanistan; and examines three instances of video installation art that have the power to disrupt the dominant regime of sensibility rather than reinforce it.
Liberating Kosovo
Authors: Phillips David L. 
Published: January 2019

A compelling account of the diplomatic and military actions that led to Kosovo's independence and their implications for future U.S. and UN interventions.
Kosovo, after its incorporation into the Serbian Republic of Yugoslavia, became increasingly restive during the 1990s as Yugoslavia plunged into internal war and Kosovo's ethnic Albanian residents (Kosovars) sought autonomy. In March 1999, NATO forces began airstrikes against targets in Kosovo and Serbia in an effort to protect Kosovars against persecution. The bombing campaign ended in June 1999, and Kosovo was placed under transitional UN administration while negotiations on its status ensued. Kosovo eventually declared independence in 2008. Despite internal political tension and economic problems, the new nation has been recognized by many other countries and most of its inhabitants welcome its separation from Serbia.
In Liberating Kosovo, David Phillips offers a compelling account of the negotiations and military actions that culminated in Kosovo's independence. Drawing on his own participation in the diplomatic process and interviews with leading participants, Phillips chronicles Slobodan Milosevic's rise to power, the sufferings of the Kosovars, and the events that led to the disintegration of Yugoslavia. He analyzes how NATO, the United Nations, and the United States employed diplomacy, aerial bombing, and peacekeeping forces to set in motion the process that led to independence for Kosovo. He also offers important insights into a critical issue in contemporary international politics: how and when the United States, other nations, and NGOs should act to prevent ethnic cleansing and severe human-rights abuses.
Intelligence Emerging
Authors: Downing Keith L. 
Published: January 2019

An investigation of intelligence as an emergent phenomenon, integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence.
Emergence—the formation of global patterns from solely local interactions—is a frequent and fascinating theme in the scientific literature both popular and academic. In this book, Keith Downing undertakes a systematic investigation of the widespread (if often vague) claim that intelligence is an emergent phenomenon. Downing focuses on neural networks, both natural and artificial, and how their adaptability in three time frames—phylogenetic (evolutionary), ontogenetic (developmental), and epigenetic (lifetime learning)—underlie the emergence of cognition. Integrating the perspectives of evolutionary biology, neuroscience, and artificial intelligence, Downing provides a series of concrete examples of neurocognitive emergence. Doing so, he offers a new motivation for the expanded use of bio-inspired concepts in artificial intelligence (AI), in the subfield known as Bio-AI.
One of Downing's central claims is that two key concepts from traditional AI, search and representation, are key to understanding emergent intelligence as well. He first offers introductory chapters on five core concepts: emergent phenomena, formal search processes, representational issues in Bio-AI, artificial neural networks (ANNs), and evolutionary algorithms (EAs). Intermediate chapters delve deeper into search, representation, and emergence in ANNs, EAs, and evolving brains. Finally, advanced chapters on evolving artificial neural networks and information-theoretic approaches to assessing emergence in neural systems synthesize earlier topics to provide some perspective, predictions, and pointers for the future of Bio-AI.
Managing Equity Portfolios
Authors: Ervolini Michael A. 
Published: January 2019

A groundbreaking framework for improving portfolio performance that goes beyond traditional analytics, offering new ways to understand investment skills, process, and behaviors.
Portfolio management is a tough business. Each day, managers face the challenges of an ever-changing and unforgiving market, where strategies and processes that worked yesterday may not work today, or tomorrow. The usual advice for improving portfolio performance—refining your strategy, staying within your style, doing better research, trading more efficiently—is important, but doesn't seem to affect outcomes sufficiently. This book, by an experienced advisor to institutional money managers, goes beyond conventional thinking to offer a new analytic framework that enables investors to improve their performance confidently, deliberately, and simply, by applying the principles of behavioral finance.
W. Edwards Deming observed that you can't improve what you don't measure. Active portfolio management lacks methods for measuring key inputs to management success like skills, process, and behavioral tendencies. Michael Ervolini offers a conceptually straightforward and well-tested framework that does just that, with evidence of how it helps managers enhance self-awareness and become better investors. In a series of short, accessible chapters, Ervolini investigates a range of topics from psychology and neuroscience, describing their relevance to the challenges of portfolio management. Finally, Ervolini offers seven ideas for improving. These range from maintaining an investment diary to performing rudimentary calculations that quantify basic skills; each idea, or “project,” helps managers gain a deeper understanding of their strengths and shortcomings and how to use this knowledge to improve investment performance.
Non-H3 CDR template selection in antibody modeling through machine learning
Authors: Long Xiyao , Jeliazkov Jeliazko R. , Gray Jeffrey J. 
Published: January 2019

Antibodies are proteins generated by the adaptive immune system to recognize and counteract a plethora of pathogens through specific binding. This adaptive binding is mediated by structural diversity in the six complementary determining region (CDR) loops (H1, H2, H3, L1, L2 and L3), which also makes accurate structural modeling of CDRs challenging. Both homology and de novo modeling approaches have been used; to date, the former has achieved greater accuracy for the non-H3 loops. The homology modeling of non-H3 CDRs is more accurate because non-H3 CDR loops of the same length and type can be grouped into a few structural clusters. Most antibody-modeling suites utilize homology modeling for the non-H3 CDRs, differing only in the alignment algorithm and how/if they utilize structural clusters. While RosettaAntibody and SAbPred do not explicitly assign query CDR sequences to clusters, two other approaches, PIGS and Kotai Antibody Builder, utilize sequence-based rules to assign CDR sequences to clusters. While the manually curated sequence rules can identify better structural templates, because their curation requires extensive literature search and human effort, they lag behind the deposition of new antibody structures and are infrequently updated. In this study, we propose a machine learning approach (Gradient Boosting Machine [GBM]) to learn the structural clusters of non-H3 CDRs from sequence alone. The GBM method simplifies feature selection and can easily integrate new data, compared to manual sequence rule curation. We compare the classification results using the GBM method to that of RosettaAntibody in a 3-repeat 10-fold cross-validation (CV) scheme on the cluster-annotated antibody database PyIgClassify and we observe an improvement in the classification accuracy of the concerned loops from 84.5% ± 0.24% to 88.16% ± 0.056%. The GBM models reduce the errors in specific cluster membership misclassifications when the involved clusters have relatively abundant data. Based on the factors identified, we suggest methods that can enrich structural classes with sparse data to further improve prediction accuracy in future studies.
Tratamento cirúrgico de seqüelas de traumatismo zigomático-orbitário: relato de caso
Authors: Oliveira Marília Gerhardt de , Gaião Lêonilson , Kreisner Paulo Eduardo , Guimarães Karis Barbosa , Bezerra Marcelo Ferraro 
Published: January 2019

O tratamento de seqüelas que envolvem o complexo zigomático-orbitário é um grande desafio em Cirurgia e Traumatologia Bucomaxilofacial. Sua correção cirúrgica inclui o reestabelecimento do contorno ósseo orbitário e a reabilitação anátomo-funcional ocular. Para obter esses resultados, uma série de técnicas e materiais podem ser utilizados, entre os quais o enxerto ósseo autógeno e o implante de biomateriais. O objetivo deste relato é apresentar um caso de tratamento cirúrgico de seqüela de traumatismo zigomático-orbitário, com utilização de enxerto ósseo autógeno retirado de crista ilíaca, associado à tela de titânio, para obter-se o reposicionamento ósseo e do globo ocular. O manejo terapêutico de seqüelas que envolvem o complexo zigomático-orbitário é discutido à luz da revisão de literatura.
Precisão dos testes sorológico e molecular para diagnóstico do HBV e HCV em pacientes com Insuficiência Renal Crônica em hemodiálise, em Porto Velho, Brasil
Authors: Pereira Dhélio Batista , Oliveira Kelly Régia Vieira , Moreira Regina , Oba Isabel Takano , Compri Adriana Parise , Lemos Marcilio Figueiredo , Vasconcelos Mariana , Salcedo Juan Miguel Villalobos 
Published: January 2019

<div>Pacientes em tratamento com hemodiálise para a Insuficiência Renal Crônica (IRC) estão entre os grupos com maior prevalência da infecção pelo vírus da hepatite B e C, devido às transfusões de sangue e transmissão nosocomial. Um grupo de pacientes com IRC residentes em Porto Velho foi testado com marcadores sorológicos para hepatite B e C utilizando o teste ELISA e técnicas de biologia molecular (PCR). Os parâmetros para a validação dos resultados sorológicos foram medidos com base nos resultados da PCR. Dos 128 pacientes em hemodiálise durante o estudo, 12 (9,4%) eram HBsAg positivos, 69 (53,9%) eram anti-HBc positivos, 93 (72,7%) eram anti-HBs positivos, e 22 (17,2%) eram anti- HCV positivos. Os resultados dos testes com PCR foram de 12 (9,4%) HBV-DNA positivos e 16 (12,5%) HCV-RNA positivos. A precisão, sensibilidade e especificidade do ELISA para o HBsAg foram de 90,6%, 50% e 94,8%, e os mesmos parâmetros foram de 92,2%, 87,5% e 92,9% para anti-HCV. Com base nos resultados, apenas o valor preditivo negativo para anti-HCV (98,2%) mostrou-se confiável em pacientes renais crônicos em hemodiálise. Além disto, testes sorológicos e/ou moleculares representam a metodologia indicada para o diagnóstico da infecção pelo HBV e HCV nestes pacientes.</div>
Effects of species invasion on population dynamics, vital rates and life histories of the native species
Authors: Vincenzi Simone , Crivelli Alain J. , Jeseňsek Dušan , Campbell Ellen , Garza John C. 
Published: January 2019

AbstractInvasions occurring in natural environments provide the opportunity to study how vital rates change and life histories evolve in the presence of a competing species. In this work, we estimate differences in reproductive traits, individual growth trajectories, survival, life histories and population dynamics between a native species living in allopatry and in sympatry with an invasive species of the same taxonomic Family. We used as a model system marble troutSalmo marmoratus(native species) and rainbow troutOncorhynchus mykiss(non‐native) living in the Idrijca River (Slovenia). An impassable waterfall separates the stream into two sectors only a few 100 meters apart: a downstream sector in which marble trout live in sympatry with rainbow trout and an upstream sector in which marble trout live in allopatry. We used an overarching modelling approach that uses tag‐recapture and genetic data (>2,500 unique marble and rainbow trout were sampled and genotyped) to reconstruct pedigrees, test for synchrony of population dynamics and model survival and growth, while accounting for individual heterogeneity. The population dynamics of the two marble trout populations and of rainbow trout were synchronous. We found higher prevalence of younger parents, higher mortality and lower population density in marble trout living in sympatry with rainbow trout than in marble trout living in allopatry. There were no differences in the average individual growth trajectories between the two marble trout populations. Faster life histories of marble trout living in sympatry with rainbow trout are consistent with predictions of life history theory.
Asexual reproduction changes predator population dynamics in a life predator–prey system
Authors: Scheuerl Thomas , Stelzer Claus‐Peter 
Published: January 2019

AbstractMany organisms display oscillations in population size. Theory predicts that these fluctuations can be generated by predator–prey interactions, and empirical studies using life model systems, such as a rotifer‐algae community consisting of Brachionus calyciflorus as predator and Chlorella vulgaris as prey, have been successfully used for studying such dynamics. B. calyciflorus is a cyclical parthenogen (CP) and clones often differ in their sexual propensity, that is, the degree to which they engage into sexual or asexual (clonal) reproduction. Since sexual propensities can affect growth rates and population sizes, we hypothesized that this might also affect population oscillations. Here, we studied the dynamical behaviour of B. calyciflorus clones representing either CPs (regularly inducing sex) or obligate parthenogens (OPs). We found that the amplitudes of population cycles to be increased in OPs at low nutrient levels. Several other population dynamic parameters seemed unaffected. This suggests that reproductive mode might be an important additional variable to be considered in future studies of population oscillations.
Organic Transistor Based on Cyclopentadithiophene‐Benzothiadiazole Donor–Acceptor Copolymer for the Detection and Discrimination between Multiple Structural Isomers
Authors: Khatib Muhammad , Huynh Tan‐Phat , Sun Jiaxing Jeccy , Do Thu Trang , Sonar Prashant , Hinkel Felix , Müllen Klaus , Haick Hossam 
Published: January 2019

AbstractDistinguishing structural isomers is a critical and challenging task for biotechnology, chemical industry, and environmental monitoring. Approaches currently available are limited in terms of selectivity and simplicity. In this paper, a highly sensitive organic field‐effect transistor (OFET) using the cyclopentadithiophene‐benzothiadiazole (CDT‐BTZ) copolymers as a semiconductor is presented for easy and selective detection of different families of structural isomers, as well as between different isomers within each family. High accuracy discrimination is achieved over a range of concentrations using only a single sensing parameter derived from the OFET characteristic transfer curve. As a reference, other homopolymer‐ and donor–acceptor copolymer‐based OFET sensors are examined but do not have an equivalent sensing performance to that of the CDT‐BTZ‐based OFETs. Investigating the link between isomer absorption and swelling, supramolecular order and energy levels of the active layer reveals a unique effect of each isomer on the energy bands of the semiconducting polymer.
Development of a Coaxial 3D Printing Platform for Biofabrication of Implantable Islet‐Containing Constructs
Authors: Liu Xiao , Carter Sarah‐Sophia D. , Renes Max Jurie , Kim Juewan , Rojas‐Canales Darling Macarena , Penko Daniella , Angus Cameron , Beirne Stephen , Drogemuller Christopher John , Yue Zhilian , Coates Patrick T. , Wallace Gordon G. 
Published: January 2019

AbstractOver the last two decades, pancreatic islet transplantations have become a promising treatment for Type I diabetes. However, although providing a consistent and sustained exogenous insulin supply, there are a number of limitations hindering the widespread application of this approach. These include the lack of sufficient vasculature and allogeneic immune attacks after transplantation, which both contribute to poor cell survival rates. Here, these issues are addressed using a biofabrication approach. An alginate/gelatin‐based bioink formulation is optimized for islet and islet‐related cell encapsulation and 3D printing. In addition, a custom‐designed coaxial printer is developed for 3D printing of multicellular islet‐containing constructs. In this work, the ability to fabricate 3D constructs with precise control over the distribution of multiple cell types is demonstrated. In addition, it is shown that the viability of pancreatic islets is well maintained after the 3D printing process. Taken together, these results represent the first step toward an improved vehicle for islet transplantation and a potential novel strategy to treat Type I diabetes.
Assembling Mesoscale‐Structured Organic Interfaces in Perovskite Photovoltaics
Authors: Hou Yi , Xie Chen , Radmilovic Vuk V. , Puscher Bianka , Wu Mingjian , Heumüller Thomas , Karl André , Li Ning , Tang Xiaofeng , Meng Wei , Chen Shi , Osvet Andres , Guldi Dirk , Spiecker Erdmann , Radmilović Velimir R. , Brabec Christoph J. 
Published: January 2019

AbstractMesoscale‐structured materials offer broad opportunities in extremely diverse applications owing to their high surface areas, tunable surface energy, and large pore volume. These benefits may improve the performance of materials in terms of carrier density, charge transport, and stability. Although metal oxides–based mesoscale‐structured materials, such as TiO2, predominantly hold the record efficiency in perovskite solar cells, high temperatures (above 400 °C) and limited materials choices still challenge the community. A novel route to fabricate organic‐based mesoscale‐structured interfaces (OMI) for perovskite solar cells using a low‐temperature and green solvent–based process is presented here. The efficient infiltration of organic porous structures based on crystalline nanoparticles allows engineering efficient “n‐i‐p” and “p‐i‐n” perovskite solar cells with enhanced thermal stability, good performance, and excellent lateral homogeneity. The results show that this method is universal for multiple organic electronic materials, which opens the door to transform a wide variety of organic‐based semiconductors into scalable n‐ or p‐type porous interfaces for diverse advanced applications.
Neural Stem Cells Transfected with Reactive Oxygen Species–Responsive Polyplexes for Effective Treatment of Ischemic Stroke
Authors: Jiang Xin‐Chi , Xiang Jia‐Jia , Wu Hong‐Hui , Zhang Tian‐Yuan , Zhang Dan‐Ping , Xu Qian‐Hao , Huang Xiao‐Li , Kong Xiang‐Lei , Sun Ji‐Hong , Hu Yu‐Lan , Li Kai , Tabata Yasuhiko , Shen You‐Qing , Gao Jian‐Qing 
Published: January 2019

AbstractNeural stem cells (NSCs), capable of ischemia‐homing, regeneration, and differentiation, exert strong therapeutic potentials in treating ischemic stroke, but the curative effect is limited in the harsh microenvironment of ischemic regions rich in reactive oxygen species (ROS). Gene transfection to make NSCs overexpress brain‐derived neurotrophic factor (BDNF) can enhance their therapeutic efficacy; however, viral vectors must be used because current nonviral vectors are unable to efficiently transfect NSCs. The first polymeric vector, ROS‐responsive charge‐reversal poly[(2‐acryloyl)ethyl(p‐boronic acid benzyl)diethylammonium bromide] (B‐PDEA), is shown here, that mediates efficient gene transfection of NSCs and greatly enhances their therapeutics in ischemic stroke treatment. The cationic B‐PDEA/DNA polyplexes can effectively transfect NSCs; in the cytosol, the B‐PDEA is oxidized by intracellular ROS into negatively charged polyacrylic acid, quickly releasing the BDNF plasmids for efficient transcription and secreting a high level of BDNF. After i.v. injection in ischemic stroke mice, the transfected NSCs (BDNF‐NSCs) can home to ischemic regions as efficiently as the pristine NSCs but more efficiently produce BDNF, leading to significantly augmented BDNF levels, which in turn enhances the mouse survival rate to 60%, from 0% (nontreated mice) or ≈20% (NSC‐treated mice), and enables more rapid and superior functional reconstruction.
State‐of‐the‐Art and Future Challenges of UV Curable Polymer‐Based Smart Materials for Printing Technologies
Authors: Mendes‐Felipe Cristian , Oliveira Juliana , Etxebarria Ikerne , Vilas‐Vilela José Luis , Lanceros‐Mendez Senentxu 
Published: January 2019

AbstractThe one‐step printing of fully functional electronic devices is one of the main goals of additive manufacturing. In general, this approach is increasingly growing, being one of the key developments additive manufacturing processes based on ultraviolet curing. The main reasons for this increasing interest in UV curing based technologies are its advantages, such as fast curing at room temperature, space and energy efficiency, high‐resolution patterns, and solvent‐free formulations. Despite the important developments, some challenges remain with respect to improving UV curing process and, in particular, to obtain smart UV curable materials, many times based on the inclusion of specific nanoparticles in a UV curable polymer matrix. Thus, this paper reviews the recent developments in UV curable smart materials for printing technologies focusing on both materials and processes. The curing mechanisms and the main materials used in UV photocurable resins are reviewed as well as the main smart and multifunctional materials obtained based on them. Finally, a summary of the main achievement and the future needs are indicated. This review represents therefore a landmark for the development of a new generation of UV curable smart and multifunctional materials and solutions.