bluuebunny/crossref_metadata_2025_split huggingface dataset:
NIMBYism revisited: public acceptance of wind energy in the United States
Authors: Petrova Maria A. 
Published: October 2013

The acronym NIMBY, known to stand for ‘Not‐In‐My‐Back‐Yard’, generally describes resistance to siting specific projects close to one's area of residence while exhibiting acceptance of similar projects elsewhere. As wind energy continues to be recognized as a successful technology for meeting renewable energy targets and decreasing carbon dioxide emissions, the siting of wind turbines is a growing challenge that policy makers, facility planners, and wind developers face. The most often cited motivations for public support and opposition are reviewed here with a focus on wind energy developments in the United States. The purpose is to present the existing state of research on community responses to wind energy and to answer the following questions: What motivates support and opposition to facility siting, and in particular to wind energy facilities? Does the literature provide substantial evidence that NIMBYism is the determining motivation for opposition in the United States and, by extension, does the term's widespread use help to explain opposition? What mechanisms have been proposed for ‘overcoming’ NIMBYism, if it is present? This paper, following the recommendations of other social scientists, provides a collective call for a significant course shift: rather than proposing strategies to ‘overcome’ opposition, research should focus on proposing how to make siting successful. Drawing on a review of the relevant literature, the ‘ENUF’ framework—which stands for ‘Engage, Never use NIMBY, Understand, and Facilitate’—is introduced as a step in that direction. WIREs Clim Change 2013, 4:575–601. doi: 10.1002/wcc.250This article is categorized under:

Perceptions, Behavior, and Communication of Climate Change > Behavior Change and Responses
The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior
Climate change and Australia
Authors: Head Lesley , Adams Michael , McGregor Helen V. , Toole Stephanie 
Published: October 2013

Australia has had a variable and mostly arid climate as long as humans have been on the continent. Historically observed trends toward increased warming, with rainfall increases in many tropical areas and rainfall decreases in many temperate areas, are projected to continue. Impacts will be geographically variable but mostly negative for biodiversity, agriculture, and infrastructure. Extreme events such as bushfires and floods will increase in frequency and intensity, concentrated in summer. With an economy heavily dependent on coal for domestic electricity generation and as an export commodity, Australians are high per capita contributors to anthropogenic climate change. A quarter‐century of steps to mitigation led in 2012 to a carbon price that has the long‐term potential to shift the economy toward more renewable energy sources. However as in other parts of the world this change has come too late, and is proceeding too slowly, to avoid significant climate change. A heritage of indigenous adaptation, strong volunteer cultures, and contemporary cultural diversity provide Australia with considerable adaptive capacity for gradual changes, but the nation is underprepared for sudden or step changes. We identify four pressing research and policy needs focused on such changes: (1) systematic attention to processes and impacts of negative transformative change, or worst‐case scenarios, (2) improve forecasts of year‐to‐year rainfall and climate variability, focusing on processes and climate drivers that may change in response to higher greenhouse gases, (3) identification and engagement of diverse cross‐cultural resources, and (4) articulation of alternative governance mechanisms that can interact dynamically with strong government. WIREs Clim Change 2014, 5:175–197. doi: 10.1002/wcc.255This article is categorized under:

Trans‐Disciplinary Perspectives > National Reviews
Improved auxiliary particle filter‐based synchronization of chaotic Colpitts circuit and its application to secure communication
Authors: Shi Zhiguo , Bi Songjie , Zhang Hongtao , Lu Rongxing , Shen Xuemin (Sherman) 
Published: October 2013

AbstractIn this paper, we propose a synchronization scheme based on an improved auxiliary particle filter (IAPF) for chaotic Colpitts circuit and conduct an experimental study on the synchronization performance with application to secure communications. Specifically, with the synchronization scheme, when the chaotic signals generated by an analog Colpitts circuit are transmitted through a nonideal channel, the distorted signals are processed digitally by the novelly designed IAPF at the receiver, in order to obtain the synchronized signals of the transmitter circuit. Experimental results indicate that synchronization can be achieved over both the additive white Gaussian noise channel and the multipath fading channel with low signal‐to‐noise ratio, even if there exist severe circuit parameter mismatches between the transmitter and the receiver. Furthermore, a chaos‐masking secure communication system is constructed and verified over both the additive white Gaussian noise channel and the multipath fading channel, and the bit error rate is evaluated versus different signal‐to‐noise ratios and symbol periods. It is shown that the achievable bit error rate can reach the order of magnitude of 10 − 4 without error correction coding techniques. In addition, security analysis demonstrates that the proposed chaotic secure communication system is resistant to the brute‐force attack. Copyright © 2013 John Wiley & Sons, Ltd.
Age‐related decline in divided‐attention: from theoretical lab research to practical real‐life situations
Authors: Fraser Sarah , Bherer Louis 
Published: October 2013

The purpose of this advanced review is to provide readers with an up‐to‐date synopsis of age‐related changes in divided‐attention abilities. An interdisciplinary approach is taken, supplying readers with evidence from very structured laboratory studies and findings from more ecological research studies that target real‐life divided‐attention situations (i.e., walking and talking). The review goes beyond the reported age‐related declines in divided‐attention abilities and offers the reader an overview of current cognitive (dual‐task) training findings which suggest that these declines can be diminished with training. The contents of this review and the future directions proposed demonstrate that divided‐attention research and its recent application to aging and mobility has become a major and fast growing scientific field of investigation.WIREs Cogn Sci2013, 4:623–640. doi: 10.1002/wcs.1252This article is categorized under:Psychology > AttentionPsychology > Development and AgingNeuroscience > Cognition
The thalamus: gateway to the mind
Authors: Ward Lawrence M. 
Published: October 2013

The thalamus of the brain is far more than the simple sensory relay it was long thought to be. From its location at the top of the brain stem it interacts directly with nearly every part of the brain. Its dense loops into and out of cortex render it functionally a seventh cortical layer. Moreover, it receives and sends connections to most subcortical areas as well. Of course it does function as a very sophisticated sensory relay and thus is of vital importance to perception. But also it functions critically in all mental operations, including attention, memory, and consciousness, likely in different ways for different processes, as indicated by the consequences of damage to its various nuclei as well as by invasive studies in nonhuman animals. It plays a critical role also in the arousal system of the brain, in emotion, in movement, and in coordinating cortical computations. Given these important functional roles, and the dearth of knowledge about the details of its nonsensory nuclei, it is an attractive target for intensive study in the future, particularly in regard to its role in healthy and impaired cognitive functioning. WIREs Cogn Sci 2013, 4:523–545. doi: 10.1002/wcs.1256This article is categorized under:

Psychology > Brain Function and Dysfunction
Neuroscience > Cognition
Neuroscience > Physiology
Judgment: a cognitive processing perspective
Authors: Pachur Thorsten , Bröder Arndt 
Published: October 2013

Historically, judgment research has been mainly concerned with identifying regularities in sensation (e.g., discriminability laws) and assessing judgment accuracy. More recently, the focus has shifted toward specifying the information processing mechanisms underlying judgment and modeling them, for example, as cognitive strategies. We contrast this strategy approach with previous prominent research programs on judgment and provide an overview of various process‐level accounts that have been proposed in terms of computational models (e.g., compensatory and noncompensatory cue‐abstraction strategies, evidence accumulation, exemplar processing, and parallel constraint satisfaction). Importantly, empirical investigations show that the cognitive processes underlying judgment differ considerably as a function of the individual's cognitive capacity and characteristics of the task environment (e.g., information cost, cognitive capacity, cue inter‐correlations, relationship between cues and the to‐be‐judged criterion). We argue that these systematic contingencies in strategy use can be understood as adaptive responses to costs in learning, information acquisition, and strategy execution.WIREs Cogn Sci2013, 4:665–681. doi: 10.1002/wcs.1259This article is categorized under:Psychology > Reasoning and Decision Making
Energy storage sizing for wind power: impact of the autocorrelation of day‐ahead forecast errors
Authors: Haessig Pierre , Multon Bernard , Ahmed Hamid Ben , Lascaud Stéphane , Bondon Pascal 
Published: October 2013

ABSTRACTThe availability of day‐ahead production forecast is an important step toward better dispatchability of wind power production. However, the stochastic nature of forecast errors prevents a wind farm operator from holding a firm production commitment. In order to mitigate the deviation from the commitment, an energy storage system connected to the wind farm is considered. One statistical characteristic of day‐ahead forecast errors has a major impact on storage performance: errors are significantly correlated along several hours. We thus use a data‐fitted autoregressive model that captures this correlation to quantify the impact of correlation on storage sizing.With a Monte Carlo approach, we study the behavior and the performance of an energy storage system using the autoregressive model as an input. The ability of the storage system to meet a production commitment is statistically assessed for a range of capacities, using a mean absolute deviation criterion. By parametrically varying the correlation level, we show that disregarding correlation can lead to an underestimation of a storage capacity by an order of magnitude. Finally, we compare the results obtained from the model and from field data to validate the model. Copyright © 2013 John Wiley & Sons, Ltd.
Recent developments in expectation‐maximization methods for analyzing complex data
Authors: Ng Shu‐Kay 
Published: October 2013

The expectation–maximization (EM) algorithm is highly popular in computational statistics because it possesses a number of desirable properties such as reliable global convergence, numerical stability, and simplicity of implementation. More complex data are now increasingly prevalent across many application areas in a wide scope of scientific fields. These data could exhibit a hierarchical or longitudinal structure and involve atypical and/or asymmetric observations. The application of theEMalgorithm in the analysis of these complex data presents significant challenges to existingEMmethods. It is because the models developed often lead to intractable expectation‐steps or complicated maximization‐steps in order to model the correlation between hierarchical data and/or the skewness of asymmetric observations. This paper discusses recent advanced developments inEMmethods to overcome these barriers in handling complex problems.WIREs Comput Stat2013, 5:415–431. doi: 10.1002/wics.1277This article is categorized under:Statistical and Graphical Methods of Data Analysis > EM AlgorithmStatistical and Graphical Methods of Data Analysis > Monte Carlo Methods
Analysis and mining of online social networks: emerging trends and challenges
Authors: Bhat Sajid Yousuf , Abulaish Muhammad 
Published: October 2013

Social network analysis (SNA) is a multidisciplinary field dedicated to the analysis and modeling of relations and diffusion processes among various objects in nature and society, and other information/knowledge processing entities with an aim of understanding how the behavior of individuals and their interactions translates into large‐scale social phenomenon. Because of exploding popularity of online social networks and availability of huge amount of user‐generated content, there is a great opportunity to analyze social networks and their dynamics at resolutions and levels not seen before. This has resulted in a significant increase in research literature at the intersection of the computing and social sciences leading to several techniques for social network modeling and analysis in the area of machine learning and data mining. Some of the current challenges in the analysis of large‐scale social network data include social network modeling and representation, link mining, sentiment analysis, semantic SNA, information diffusion, viral marketing, and influential node mining. WIREs Data Mining Knowl Discov 2013, 3:408–444. doi: 10.1002/widm.1105This article is categorized under:

Algorithmic Development > Web Mining
Commercial, Legal, and Ethical Issues > Social Considerations
Technologies > Structure Discovery and Clustering
Market Basket Analysis algorithms with MapReduce
Authors: Woo Jongwook 
Published: October 2013

The MapReduce approach has been popular in computing large scale data since Google implemented its platform on Google Distributed File Systems (GFS) followed by Amazon Web Service (AWS) providing the Apache Hadoop platform in inexpensive computing nodes. Map/Reduce motivates to redesign and convert the existing sequential algorithms to MapReduce as restricted parallel programming so that the paper proposes Market Basket Analysis algorithm with MapReduce as well as apriority property. Two algorithms are proposed by adapting an existing Apriori‐algorithm and building a simple algorithm that sorts data sets and converts it to (key, value) pairs to fit with MapReduce. It is executed on Amazon EC2 Map/Reduce platform. The experimental results show that the Apriori‐algorithm does not perform as well as the simple algorithm. Using the simple algorithm, the code with Map/Reduce increases the performance by adding more nodes, but at a certain point there is a bottleneck that does not allow further performance gain. It is believed that the operations of distributing, aggregating, and reducing data in Map/Reduce, cause the bottleneck. WIREs Data Mining Knowl Discov 2013, 3:445–452. doi: 10.1002/widm.1107This article is categorized under:

Algorithmic Development > Association Rules
Application Areas > Business and Industry
Fundamental Concepts of Data and Knowledge > Big Data Mining
Solute carrier family SLC41: what do we really know about it?
Authors: Fleig Andrea , Schweigel‐Röntgen Monika , Kolisek Martin 
Published: October 2013

The 41st family of solute carriers (SLC41) comprises three members A1, A2, and A3, which are distantly homologous to bacterial Mg2+ channel MgtE. SLC41A1 was recently characterized as being an Na+/Mg2+ exchanger (NME; a predominant cellular Mg2+‐efflux system). Little is known about the exact function of SLC41A2 and SLC41A3, although, these proteins have also been linked to Mg2+ transport in human (animal) cells. The molecular biology (including membrane topology, cellular localization, transcriptomics, and proteomics) of SLC41A2 and SLC41A3 compared with SLC41A1 has only been poorly explored. Significantly more data with regard to function, functional regulation, involvement in cellular signaling, complex‐forming ability, spectrum of binding partners, and involvement in the pathophysiology of human diseases are available for SLC41A1. Three recent observations namely the identification of the null mutation, c.698G>T, in SLC41A1 underlying the nephronophthisis‐like phenotype, the recognition of a putative link between SLC41A1 and Parkinson's disease, and the observation that nearly 55% of preeclamptic placental samples overexpress SLC41A1, marks the protein as a possible therapeutic target of these diseases. A potential role of the SLC41 family of Mg2+ transporters in the pathophysiology of human diseases is further substantiated by the finding that SLC41A3 knockout mice develop abnormal locomotor coordination. WIREs Membr Transp Signal 2013. doi: 10.1002/wmts.95Conflict of interest: The authors have declared no conflicts of interest for this article.For further resources related to this article, please visit the WIREs website.
Biomimetic materials design for cardiac tissue regeneration
Authors: Dunn David A. , Hodge Alexander J. , Lipke Elizabeth A. 
Published: October 2013

Cardiovascular disease is the leading cause of death worldwide. In the absence of sufficient numbers of organs for heart transplant, alternate approaches for healing or replacing diseased heart tissue are under investigation. Designing biomimetic materials to support these approaches will be essential to their overall success. Strategies for cardiac tissue engineering include injection of cells, implantation of three‐dimensional tissue constructs or patches, injection of acellular materials, and replacement of valves. To replicate physiological function and facilitate engraftment into native tissue, materials used in these approaches should have properties that mimic those of the natural cardiac environment. Multiple aspects of the cardiac microenvironment have been emulated using biomimetic materials including delivery of bioactive factors, presentation of cell‐specific adhesion sites, design of surface topography to guide tissue alignment and dictate cell shape, modulation of mechanical stiffness and electrical conductivity, and fabrication of three‐dimensional structures to guide tissue formation and function. Biomaterials can be engineered to assist in stem cell expansion and differentiation, to protect cells during injection and facilitate their retention and survival in vivo, and to provide mechanical support and guidance for engineered tissue formation. Numerous studies have investigated the use of biomimetic materials for cardiac regeneration. Biomimetic material design will continue to exploit advances in nanotechnology to better recreate the cellular environment and advance cardiac regeneration. Overall, biomimetic materials are moving the field of cardiac regenerative medicine forward and promise to deliver new therapies in combating heart disease. WIREs Nanomed Nanobiotechnol 2014, 6:15–39. doi: 10.1002/wnan.1241This article is categorized under:

Therapeutic Approaches and Drug Discovery > Nanomedicine for Cardiovascular Disease
Implantable Materials and Surgical Technologies > Nanotechnology in Tissue Repair and Replacement
Understanding engineered nanomaterial skin interactions and the modulatory effects of ultraviolet radiation skin exposure
Authors: Jatana Samreen , DeLouise Lisa A. 
Published: October 2013

The study of engineered nanomaterials for the development of technological applications, nanomedicine, and nano‐enabled consumer products is an ever‐expanding discipline as is the concern over the impact of nanotechnology on human environmental health and safety. In this review, we discuss the current state of understanding of nanomaterial skin interactions with a specific emphasis on the effects of ultraviolet radiation (UVR) skin exposure. Skin is the largest organ of the body and is typically exposed to UVR on a daily basis. This necessitates the need to understand how UVR skin exposure can influence nanomaterial skin penetration, alter nanomaterial systemic trafficking, toxicity, and skin immune function. We explore the unique dichotomy that UVR has on inducing both deleterious and therapeutic effects in skin. The subject matter covered in this review is broadly informative and will raise awareness of potential increased risks from nanomaterial skin exposure associated with specific occupational and life style choices. The UVR‐induced immunosuppressive response in skin raises intriguing questions that motivate future research directions in the nanotoxicology and nanomedicine fields. WIREs Nanomed Nanobiotechnol 2014, 6:61–79. doi: 10.1002/wnan.1244This article is categorized under:

Therapeutic Approaches and Drug Discovery > Emerging Technologies
Toxicology and Regulatory Issues in Nanomedicine > Toxicology of Nanomaterials
Ribonuclease III mechanisms of double‐stranded RNA cleavage
Authors: Nicholson Allen W. 
Published: October 2013

Double‐stranded(ds) RNA has diverse roles in gene expression and regulation, host defense, and genome surveillance in bacterial and eukaryotic cells. A central aspect of dsRNA function is its selective recognition and cleavage by members of the ribonuclease III (RNase III) family of divalent‐metal‐ion‐dependent phosphodiesterases. The processing of dsRNA by RNase III family members is an essential step in the maturation and decay of coding and noncoding RNAs, including miRNAs and siRNAs. RNase III, as first purified from Escherichia coli, has served as a biochemically well‐characterized prototype, and other bacterial orthologs provided the first structural information. RNase III family members share a unique fold (RNase III domain) that can dimerize to form a structure that binds dsRNA and cleaves phosphodiesters on each strand, providing the characteristic 2 nt, 3′‐overhang product ends. Ongoing studies are uncovering the functions of additional domains, including, inter alia, the dsRNA‐binding and PAZ domains that cooperate with the RNase III domain to select target sites, regulate activity, confer processivity, and support the recognition of structurally diverse substrates. RNase III enzymes function in multicomponent assemblies that are regulated by diverse inputs, and at least one RNase III‐related polypeptide can function as a noncatalytic, dsRNA‐binding protein. This review summarizes the current knowledge of the mechanisms of catalysis and target site selection of RNase III family members, and also addresses less well understood aspects of these enzymes and their interactions with dsRNA. WIREs RNA 2014, 5:31–48. doi: 10.1002/wrna.1195This article is categorized under:

RNA Processing > Processing of Small RNAs
RNA Turnover and Surveillance > Turnover/Surveillance Mechanisms
Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs