bluuebunny/crossref_metadata_2025_split huggingface dataset:
The ethics of climate‐induced community displacement and resettlement
Authors: Draper Jamie , McKinnon Catriona 
Published: April 2018

Climate‐induced resettlement programs are happening right now in places around the world where populations face high risks from climatic impacts. Burgeoning literatures are considering the ethical implications of climate change more broadly, and the ethics of migration, but the nexus between the two issues has not been given enough attention by moral and political theorists, especially with respect to climate‐induced community resettlement. Here, we sketch the key nodes in a debate we think should take place, which will be made even more urgent in the coming decades as climate change impacts on communities least resilient to it.This article is categorized under:

Climate, Nature, and Ethics > Climate Change and Global Justice
Benefits of a multimodel ensemble for hub‐height wind prediction in mountainous terrain
Authors: Siuta David M. , Stull Roland B. 
Published: April 2018

AbstractWhile numerical weather prediction models can be used to estimate future wind power, no single model is perfect. A better approach is to run many models (an ensemble) and use the average to estimate future wind speeds. The goal of this manuscript is to demonstrate the benefits of using a multimodel ensemble to predict wind speeds at wind‐turbine hub heights. We do this for a 1‐year period at 4 wind farms in mountainous terrain. The ensemble‐mean forecast has higher accuracy than the climatology forecast until a forecast horizon of 6.5 days. The ensemble‐mean forecast has higher correlation to the observations than the climatology forecast has to the observations through the 7‐day forecast horizon tested. Use of the ensemble‐mean forecast results in at least a 1‐ to 2‐day skill advantage (increase in time that a forecast remains more skilled than climatology) over use of a single, deterministic ensemble member for both forecast accuracy and correlation. For probabilistic forecasts, use of the multimodel ensemble mean is most beneficial to improvements in probabilistic sharpness (narrowing of uncertainty). A comparison of Weather Research and Forecasting model forecasts initialized by the National Centers for Environmental Prediction Global Forecast System and North American Mesoscale models, the Canadian Meteorological Centre Global Deterministic Prediction System, and Fleet Numerical Meteorology and Oceanography Center Navy Global Environmental Model showed that the Canadian Meteorological Centre Global Deterministic Prediction System provided the best initial conditions for the locations tested.
A comparison of variation management strategies for wind power integration in different electricity system contexts
Authors: Göransson Lisa , Johnsson Filip 
Published: April 2018

AbstractVariation management strategies improve the capability of the electricity system to meet variations both in the electricity demand and in the generation that relies on variable energy sources. In this work, we introduce a new, functionality‐based, categorization of variation management strategies: shifting (eg, batteries), absorbing (eg, power‐to‐gas), and complementing (dispatchable generation, including reservoir hydropower) strategies. A dispatch model with European coverage (EU‐27 plus Norway and Switzerland) is applied to compare the benefits of shifting and absorbing strategies on wind integration in regions with different amounts of complementing strategies in place. The benefits are measured in terms of the wind value factor, wind owner revenue, and average short‐term generation cost.The results of the modeling show that the reduction in average short‐term generation cost and the increase in revenue earned by the wind owner from shifting strategies, such as the use of batteries, are more substantial at low wind shares than at high wind shares. The opposite situation is found for absorbing strategies, such as power‐to‐gas, which are found to be more efficient at reducing the average generation cost and increasing profit for the wind owner as the wind share increases. In regions that have access to complementing strategies in the form of reservoir hydropower, variation management has a weak ability to reduce the average short‐term generation cost, although it can increase significantly the revenue accrued by the wind power owner.
Social network analysis: An overview
Authors: Tabassum Shazia , Pereira Fabiola S. F. , Fernandes Sofia , Gama João 
Published: April 2018

Social network analysis (SNA) is a core pursuit of analyzing social networks today. In addition to the usual statistical techniques of data analysis, these networks are investigated using SNA measures. It helps in understanding the dependencies between social entities in the data, characterizing their behaviors and their effect on the network as a whole and over time. Therefore, this article attempts to provide a succinct overview of SNA in diverse topological networks (static, temporal, and evolving networks) and perspective (ego‐networks). As one of the primary applicability of SNA is in networked data mining, we provide a brief overview of network mining models as well; by this, we present the readers with a concise guided tour from analysis to mining of networks.This article is categorized under:Application Areas > Science and TechnologyTechnologies > Machine LearningFundamental Concepts of Data and Knowledge > Human Centricity and User InteractionCommercial, Legal, and Ethical Issues > Social Considerations
An overview on the evolution and adoption of deep learning applications used in the industry
Authors: Dutta Sourav 
Published: April 2018

With continuous improvements in performance of microprocessors over the years, they now possess capabilities of supercomputers of earlier decade. Further with the continuous increase in the packaging density on the silicon and General Purpose Graphics Processing Unit (GPGPU) enhancements, has led to utilization the deep learning (DL) techniques, which had lost steam during the last decade. A GPGPU is a parallel programming setup using a combination of GPUs and CPUs that can manipulate large matrices. Interestingly, GPUs were created for faster graphic processing, but found its way into relevant scientific computing. DL is a subset of the artificial intelligence (AI) domain and falls specifically under the set of machine learning (ML) techniques which are based on learning data representations rather than task‐specific algorithms. It has been observed that the accuracy and the pragmatism of deploying DL at massive level was restricted by technological issues of executing DL based AI models, with extremely large training sessions running into weeks. DL applications can solve problems of very large order and areas like computer vision/image processing is one of the early successes and becoming quite a sensation in many areas such as natural language processing (NLP) with state of the art real‐time translation capabilities, automatic game playing, optical character recognition especially handwritten text, and so on. This overview traverses the evolution and successful adoption in the various industry verticals.This article is categorized under:

Application Areas > Industry Specific Applications
Application Areas > Business and Industry
Technologies > Machine Learning
Identification of nanoparticles and nanosystems in biological matrices with scanning probe microscopy
Authors: Angeloni Livia , Reggente Melania , Passeri Daniele , Natali Marco , Rossi Marco 
Published: April 2018

Identification of nanoparticles and nanosystems into cells and biological matrices is a hot research topic in nanobiotechnologies. Because of their capability to map physical properties (mechanical, electric, magnetic, chemical, or optical), several scanning probe microscopy based techniques have been proposed for the subsurface detection of nanomaterials in biological systems. In particular, atomic force microscopy (AFM) can be used to reveal stiff nanoparticles in cells and other soft biomaterials by probing the sample mechanical properties through the acquisition of local indentation curves or through the combination of ultrasound‐based methods, like contact resonance AFM (CR‐AFM) or scanning near field ultrasound holography. Magnetic force microscopy can detect magnetic nanoparticles and other magnetic (bio)materials in nonmagnetic biological samples, while electric force microscopy, conductive AFM, and Kelvin probe force microscopy can reveal buried nanomaterials on the basis of the differences between their electric properties and those of the surrounding matrices. Finally, scanning near field optical microscopy and tip‐enhanced Raman spectroscopy can visualize buried nanostructures on the basis of their optical and chemical properties. Despite at a still early stage, these methods are promising for detection of nanomaterials in biological systems as they could be truly noninvasive, would not require destructive and time‐consuming specific sample preparation, could be performed in vitro, on alive samples and in water or physiological environment, and by continuously imaging the same sample could be used to dynamically monitor the diffusion paths and interaction mechanisms of nanomaterials into cells and biological systems.This article is categorized under:

Diagnostic Tools > In Vivo Nanodiagnostics and Imaging
Nanotechnology Approaches to Biology > Nanoscale Systems in Biology
Kinetic models of hematopoietic differentiation
Authors: Olariu Victor , Peterson Carsten 
Published: April 2018

As cell and molecular biology is becoming increasingly quantitative, there is an upsurge of interest in mechanistic modeling at different levels of resolution. Such models mostly concern kinetics and include gene and protein interactions as well as cell population dynamics. The final goal of these models is to provide experimental predictions, which is now taking on. However, even without matured predictions, kinetic models serve the purpose of compressing a plurality of experimental results into something that can empower the data interpretation, and importantly, suggesting new experiments by turning “knobs” in silico. Once formulated, kinetic models can be executed in terms of molecular rate equations for concentrations or by stochastic simulations when only a limited number of copies are involved. Developmental processes, in particular those of stem and progenitor cell commitments, are not only topical but also particularly suitable for kinetic modeling due to the finite number of key genes involved in cellular decisions. Stem and progenitor cell commitment processes have been subject to intense experimental studies over the last decade with some emphasis on embryonic and hematopoietic stem cells. Gene and protein interactions governing these processes can be modeled by binary Boolean rules or by continuous‐valued models with interactions set by binding strengths. Conceptual insights along with tested predictions have emerged from such kinetic models. Here we review kinetic modeling efforts applied to stem cell developmental systems with focus on hematopoiesis. We highlight the future challenges including multi‐scale models integrating cell dynamical and transcriptional models.This article is categorized under:

Models of Systems Properties and Processes > Mechanistic Models
Developmental Biology > Stem Cell Biology and Regeneration
Dental and periodontal manifestations of glycogen storage diseases: a case series of 60 patients
Authors: Biosse Duplan Martin , Hubert Aurélie , Le Norcy Elvire , Louzoun Alice , Perry Ariane , Chaussain Catherine , Labrune Philippe 
Published: April 2018

AbstractGlycogen storage diseases (GSDs) are rare genetic disorders of glycogen metabolism where the liver, kidneys, respiratory and cardiac muscles, as well as the immune and skeletal systems can be affected. Oral manifestations can also be present, but the specificity and frequency of these manifestations in the different forms of GSD are unknown. Analysis of a case series of 60 patients presenting four types of GSD (Ia, Ib, III, and IX) showed that the different types of GSDs have common and specific oral manifestations. In none of the GSD types studied, the prevalence of caries was higher than in the general population, especially in patients benefiting from current nutritional therapy, while in all GSD types the prevalence of delayed tooth eruption, agenesis, and tooth shape abnormalities was increased compared to the general population. Severe periodontitis prevalence was increased in patients with GSD Ib and neutropenia. Our results show that GSDs have oral manifestations and suggest some specificity depending on the type of GSDs.
Family ethnic socialization predicts better academic outcomes via proactive coping with discrimination and increased self‐efficacy
Authors: McDermott Elana R. , Umaña‐Taylor Adriana J. , Martinez‐Fuentes Stefanie 
Published: April 2018

ABSTRACTAs the U.S. Latino youth population grows, understanding how family and individual resources may promote Latino adolescents' academic outcomes is important. The current investigation examined whether family ethnic socialization predicted adolescents' use of proactive strategies for coping with ethnic‐racial discrimination and examined a potential pathway through which these contextual and individual resources may relate to educational outcomes. Drawing on data from a sample of Latino adolescents (n = 321; Mage = 15.31 years, SD = .76; 49.5% female), results of a cross‐sectional structural equation model showed a double mediation of the relation between family ethnic socialization and GPA by proactive coping strategies and self‐efficacy. Alternate models, limitations of the current investigation, and implications for future research are discussed.
How young and older people differ in discriminatory behaviour towards older people? An explanation of the knowledge–attitude–behaviour continuum model
Authors: CHUNG SOONDOOL , PARK HYUNJU 
Published: April 2018

ABSTRACTThis study examined the causal relationship between knowledge, attitudes and discriminatory behaviour towards older people and further explored age-group differences using multi-group analysis. Data were collected from 1,500 Korean adults aged 20 and older in 2011 using the multi-stage quota sampling method. Trained investigators collected data with a developed survey questionnaire in person and a structural equation modelling method was used for data analysis. Attitudes towards older people was measured using two variables: ‘image of older people’ and ‘prejudice against older people’. The findings revealed that the younger and older generations demonstrated differences regarding the causal relationship between knowledge, attitudes and discriminatory behaviour towards older people. The paths model between independent and dependent variables in the structural equation modelling was non-equivalent in younger and older groups. For both groups, knowledge about ageing and older people led to a positive influence on their image of and prejudice against older people. The effect of prejudice on discriminatory behaviour was significant in the younger group, but not in the older group. Further implications for practice and future research to reduce ageism were discussed.
Pollination of the Australian cycad Cycas ophiolitica (Cycadaceae): the limited role of wind pollination in a cycad with beetle pollinator mutualists, and its ecological significance
Authors: Hall John A. , Walter Gimme H. 
Published: April 2018

Abstract:Cycads in the Zamiaceae are well known for their host-specific insect pollination mutualisms. Pollination of Cycas in the sister family Cycadaceae is less well-documented, with beetle pollination possibly coexisting with a limited potential for wind pollination, a hypothesis we tested for C. ophiolitica in Central Queensland, Australia. Cones were associated with three species of beetle: an undescribed weevil (Curculionidae), Hapalips sp. (Erotylidae) and Ulomoides sp. (Tenebrionidae). Pollination-vector exclusion experiments compared the pollination success (quantified as % ovules pollinated per cone) of control cones against bagged or netted cones that excluded wind or insects respectively (n = 10 for all treatments). Insects do pollinate C. ophiolitica in the absence of wind, the median (first quartile-third quartile) pollination success of control plants being 83.7% (60.8–87.2%) while bagged cones, from which wind, but not insects, were excluded, pollinated at 52.9% (19.5–74.8%). For netted cones, (excluding insects but not wind), pollination fell to 12.6% (10.9–45.9%). Airborne pollen (as quantified by capture on a series of adhesive pollen traps) decreased rapidly with distance from male cones, potentially becoming ineffective for wind pollination at ~5 m. Airborne pollen load in the vicinity of female cones, and distance of females from neighbouring males, suggests wind pollination may occur sporadically, but only at high spatial densities. Although Cycas appears to be primarily insect pollinated, this limited potential for ambophily may be significant given the history of dispersal and pollinator host shifts among these cycads.
SUBJECT POSITION AND INFORMATION STRUCTURE IN L2 SPANISH
Authors: Sánchez Alvarado Covadonga 
Published: April 2018

AbstractThis study investigates the acquisition of the constraints regulating subject position in the L2 Spanish spoken by English native speakers and provides a representational account following the premises of the Multiple Grammars (MG) model. The acceptability of preverbal and postverbal subjects is compared considering different discursive contexts (i.e., broad focus, Verbal Phase [VP] focus, and subject focus). Three groups (i.e., native speakers, intermediate learners, and advanced learners), with 28 subjects each, took part in the study. Findings show that advanced speakers behave in a more nativelike manner than intermediate learners. Learners, nonetheless, are not capable of blocking the acceptability of preverbal subjects in those contexts in which native speakers disfavor them and show high productivity levels of underspecified L2 rules that lead them to accept postverbal subjects in infelicitous contexts (e.g., VP focus). These results are consistent with MG, the representation model proposed by Amaral and Roeper (2014), because an acquisition path can be described using simple rules with lexical or pragmatic restrictions, which may be targetlike. Optionality can be explained considering that L1 and L2 rules coexist and are never deleted, simply assigned different productivity levels or blocked.
Critical periods in amblyopia
Authors: HENSCH TAKAO K. , QUINLAN ELIZABETH M. 
Published: April 2018

AbstractThe shift in ocular dominance (OD) of binocular neurons induced by monocular deprivation is the canonical model of synaptic plasticity confined to a postnatal critical period. Developmental constraints on this plasticity not only lend stability to the mature visual cortical circuitry but also impede the ability to recover from amblyopia beyond an early window. Advances with mouse models utilizing the power of molecular, genetic, and imaging tools are beginning to unravel the circuit, cellular, and molecular mechanisms controlling the onset and closure of the critical periods of plasticity in the primary visual cortex (V1). Emerging evidence suggests that mechanisms enabling plasticity in juveniles are not simply lost with age but rather that plasticity is actively constrained by the developmental up-regulation of molecular ‘brakes’. Lifting these brakes enhances plasticity in the adult visual cortex, and can be harnessed to promote recovery from amblyopia. The reactivation of plasticity by experimental manipulations has revised the idea that robust OD plasticity is limited to early postnatal development. Here, we discuss recent insights into the neurobiology of the initiation and termination of critical periods and how our increasingly mechanistic understanding of these processes can be leveraged toward improved clinical treatment of adult amblyopia.
Cortical correlates of amblyopia
Authors: KIORPES LYNNE , DAW NIGEL 
Published: April 2018

AbstractThere are many levels of disorder in amblyopic vision, from basic acuity and contrast sensitivity loss to abnormal binocular vision and global perception of motion and form. Amblyopia treatment via patching to restore acuity often leaves other aspects of vision deficient. The source for these additional deficits is unclear. Neural correlates of poor binocular function and acuity loss are found in V1 and V2. However, they are generally not sufficient to account for behaviorally measured vision loss. This review summarizes the known cortical correlates of visual deficits found in association with amblyopia, particularly those relevant to binocular vision and higher-order visual processing, in striate and extrastriate cortex. Recommendations for future research address open questions on the role of suppression and oculomotor abnormalities in amblyopic vision, and underexplored mechanisms such as top-down influences on information transmission in the amblyopic brain.
Comparison of Electronic Versus Manual Mass-Casualty Incident Triage
Authors: Bolduc Claudie , Maghraby Nisreen , Fok Patrick , Luong The Minh , Homier Valerie 
Published: April 2018

AbstractIntroductionMass-casualty incidents (MCIs) easily overwhelm a health care facility’s human and material resources through the extraordinary influx of casualties. Efficient and accurate triage of incoming casualties is a critical step in the hospital disaster response.Hypothesis/ProblemTraditionally, triage during MCIs has been manually performed using paper cards. This study investigated the use of electronic Simple Triage and Rapid Treatment (START) triage as compared to the manual method.MethodsThis observational, crossover study was performed during a live MCI simulation at an urban, Canadian, Level 1 trauma center on May 26, 2016. Health care providers (two medical doctors [MDs], two paramedics [PMs], and two registered nurses [RNs]) each triaged a total of 30 simulated patients - 15 by manual (paper-based) and 15 by electronic (computer-based) START triage. Accuracy of triage categories and time of triage were analyzed. Post-simulation, patients and participating health care providers also completed a feedback form.ResultsThere was no difference in accuracy of triage between the electronic and manual methods overall, 83% and 80% (P=1.0), between providers or between triage categories. On average, triage time using the manual method was estimated to be 8.4 seconds faster (P<.001) for PMs; and while small differences in triage times were observed for MDs and RNs, they were not significant. Data from the participant feedback survey showed that the electronic method was preferred by most health care providers. Patients had no preference for either method. However, patients perceived the computer-based method as “less personal” than the manual triage method, but they also perceived the former as “better organized.”ConclusionHospital-based electronic START triage had the same accuracy as hospital-based manual START triage, regardless of triage provider type or acuity of patient presentations. Time of triage results suggest that speed may be related to provider familiarity with a modality rather than the modality itself. Finally, according to patient and provider perceptions, electronic triage is a feasible modality for hospital triage of mass casualties. Further studies are required to assess the performance of electronic hospital triage, in the context of a rapid surge of patients, and should consider additional efficiencies built in to electronic triage systems. This study presents a framework for assessing the accuracy, triage time, and feasibility of digital technologies in live simulation training or actual MCIs.BolducC, MaghrabyN, FokP, LuongTM, HomierV. Comparison of electronic versus manual mass-casualty incident triage. Prehosp Disaster Med. 2018;33(3):273–278.