bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sexual size dimorphism, spatial segregation and sex-biased bycatch of southern and northern royal albatrosses in pelagic longline fisheries
Authors: Jiménez Sebastián , Domingo Andrés , Brazeiro Alejandro , Defeo Omar , Abreu Martin , Forselledo Rodrigo , Phillips Richard A. 
Published: October 2016

AbstractBycatch in longline fisheries is a major contributor to the global decline of albatrosses. Sexual segregation at sea often leads to unequal overlap with different fisheries, resulting in sex-biased bycatch, exacerbating the impact on a population level. In great albatrosses (Diomedeaspp.), males (the larger sex) tend to spend more time at higher latitudes than females, attributed to competitive exclusion or differences in flight performance mediated by the pronounced sexual size dimorphism (SSD). Consequently, larger numbers of females are bycaught in pelagic longline fisheries in subtropical and temperate areas. Although this has been shown forDiomedea exulans, it has not been confirmed for all great albatross species. Here we examined the degree of SSD and developed discriminant functions to determine species and sex inD. epomophoraandD. sanfordi; species that are often killed in several fisheries in the Southern Hemisphere. Based on a large sample of albatrosses bycaught off Uruguay, both species showed substantial SSD. Discriminant functions assigned species and sex to otherwise indeterminate individuals with 90–100% accuracy. Based on all birds identified (n=128), bycatch in the pelagic longline fishery was female-biased, indicating sexual segregation at sea. The discriminant functions presented enable species and sex to be identified, providing critical data for future bycatch assessments.
Influence of personality on depression, burden, and health-related quality of life in family caregivers of persons with dementia
Authors: Kim Sun Kyung , Park Myonghwa , Lee Yunhwan , Choi Seong Hye , Moon So Young , Seo Sang Won , Park Kyung Won , Ku Bon D. , Han Hyun Jeong , Park Kee Hyung , Han Seol-Heui , Kim Eun-Joo , Lee Jae-Hong , Park Sun A. , Shim Yong S. , Kim Jong Hun , Hong Chang Hyung , Na Duk L. , Ye Byoung Seok , Kim Hee Jin , Moon Yeonsil 
Published: October 2016

ABSTRACTBackground:Personality may predispose family caregivers to experience caregiving differently in similar situations and influence the outcomes of caregiving. A limited body of research has examined the role of some personality traits for health-related quality of life (HRQoL) among family caregivers of persons with dementia (PWD) in relation to burden and depression.Methods:Data from a large clinic-based national study in South Korea, the Caregivers of Alzheimer's Disease Research (CARE), were analyzed (N = 476). Path analysis was performed to explore the association between family caregivers’ personality traits and HRQoL. With depression and burden as mediating factors, direct and indirect associations between five personality traits and HRQoL of family caregivers were examined.Results:Results demonstrated the mediating role of caregiver burden and depression in linking two personality traits (neuroticism and extraversion) and HRQoL. Neuroticism and extraversion directly and indirectly influenced the mental HRQoL of caregivers. Neuroticism and extraversion only indirectly influenced their physical HRQoL. Neuroticism increased the caregiver's depression, whereas extraversion decreased it. Neuroticism only was mediated by burden to influence depression and mental and physical HRQoL.Conclusions:Personality traits can influence caregiving outcomes and be viewed as an individual resource of the caregiver. A family caregiver's personality characteristics need to be assessed for tailoring support programs to get the optimal benefits from caregiver interventions.
Surface and Mechanical Characterization of Dental Yttria-Stabilized Tetragonal Zirconia Polycrystals (3Y-TZP) After Different Aging Processes
Authors: Pinto Palena A. , Colas Guillaume , Filleter Tobin , De Souza Grace M. 
Published: October 2016

AbstractYttria-stabilized tetragonal zirconia polycrystals (3Y-TZP) is a ceramic material used in indirect dental restorations. However, phase transformation at body temperature may compromise the material’s mechanical properties, affecting the clinical performance of the restoration. The effect of mastication on 3Y-TZP aging has not been investigated. 3Y-TZP specimens (IPS E-max ZirCAD and Z5) were aged in three different modes (n=13): no aging (control), hydrothermal aging (HA), or chewing simulation (CS). Mechanical properties and surface topography were analyzed. Analysis of variance showed that neither aging protocol (p=0.692) nor material (p=0.283) or the interaction between them (p=0.216) had a significant effect on flexural strength, values ranged from 928.8 MPa (IPSHA) to 1,080.6 MPa (Z5HA). Nanoindentation analysis showed that material, aging protocol, and the interaction between them had a significant effect (p<0.001) on surface hardness and reduced Young’s modulus. The compositional analysis revealed similar yttrium content for all the experimental conditions (aging: p=0.997; material: p=0.248; interaction material×aging: p=0.720). Atomic force microscopy showed an effect of aging protocols on phase transformation, with samples submitted to CS exhibiting features compatible with maximized phase transformation, such as increased volume of the material microstructure at the surface leading to an increase in surface roughness.
RACE AND THE DISTRIBUTION OF SOCIAL AND PHYSICAL ENVIRONMENTAL RISK
Authors: Schulz Amy J. , Mentz Graciela B. , Sampson Natalie , Ward Melanie , Anderson Rhonda , de Majo Ricardo , Israel Barbara A. , Lewis Toby C. , Wilkins Donele 
Published: October 2016

AbstractSince W. E. B. Du Bois documented the physical and social environments of Philadelphia’s predominantly African American Seventh Ward over a century ago, there has been continued interest in understanding the distribution of social and physical environments by racial make-up of communities. Characterization of these environments allows for documentation of inequities, identifies communities which encounter heightened risk, and can inform action to promote health equity. In this paper, we apply and extend Du Bois’s approach to examine the contemporary distribution of physical environmental exposures, health risks, and social vulnerabilities in the Detroit metropolitan area, one of the most racially-segregated areas in the United States. We begin by mapping the proximity of sensitive populations to hazardous land uses, their exposure to air pollutants and associated health risks, and social vulnerabilities, as well as cumulative risk (combined proximity, exposure, and vulnerability), across Census tracts. Next, we assess, quantitatively, the extent to which communities of color experience excess burdens of environmental exposures and associated health risks, economic and age-related vulnerabilities, and cumulative risk. The results, depicted in maps presented in the paper, suggest that Census tracts with greater proportions of people of color disproportionately encounter physical environmental exposures, socioeconomic vulnerabilities, and combined risk. Quantitative tests of inequality confirm these distributions, with statistically greater exposures, vulnerabilities, and cumulative risk in Census tracts with larger proportions of people of color. Together, these findings identify communities that experience disproportionate cumulative risk in the Detroit metropolitan area and quantify the inequitable distribution of risk by Census tract relative to the proportion of people of color. They identify clear opportunities for prioritizing communities for legislative, regulatory, policy, and local actions to promote environmental justice and health equity.
THE LONG-TERM DYNAMICS OF RACIAL/ETHNIC INEQUALITY IN NEIGHBORHOOD AIR POLLUTION EXPOSURE, 1990-2009
Authors: Kravitz-Wirtz Nicole , Crowder Kyle , Hajat Anjum , Sass Victoria 
Published: October 2016

AbstractResearch examining racial/ethnic disparities in pollution exposure often relies on cross-sectional data. These analyses are largely insensitive to exposure trends and rarely account for broader contextual dynamics. To provide a more comprehensive assessment of racial-environmental inequality over time, we combine the 1990 to 2009 waves of the Panel Study of Income Dynamics (PSID) with spatially- and temporally-resolved measures of nitrogen dioxide (NO2) and particulate matter (PM2.5 and PM10) in respondents’ neighborhoods, as well as census data on the characteristics of respondents’ metropolitan areas. Results based on multilevel repeated measures models indicate that Blacks and Latinos are, on average, more likely to be exposed to higher levels of NO2, PM2.5, and PM10 than Whites. Despite nationwide declines in levels of pollution over time, racial and ethnic disparities persist and cannot be fully explained by individual-, household-, or metropolitan-level factors.
MULTIETHNIC NEIGHBORHOODS ON THE GROUND
Authors: Walton Emily , Hardebeck Mae 
Published: October 2016

AbstractAs our nation and our neighborhoods increasingly diversify, we should understand how to sustain integrated communities that are equally beneficial for all residents. Though our policies encourage diversity as a theoretical social good, we actually know little about what happens on the ground in multiethnic neighborhoods. We conduct a comparative case study of the only two Boston neighborhoods to have maintained at least 10% representation of four racial and ethnic groups over the past two decades. Using survey data and ethnographic field observations, we examine residents’ experiences in these two consistently multiethnic, yet very different, neighborhoods. We find that neighborhood socioeconomic and racial inequality and disadvantage matter for residents’ access to neighborhood resources and constraints, and their perceptions of sense of community. Notably, in the highly unequal South End, Whites and homeowners have greater access to amenities and have higher perceptions of sense of community in comparison to racial and ethnic minorities and renters. Socioeconomic disadvantage matters in Fields Corner, as evidenced by lower overall perceptions of sense of community and greater exposure to safety concerns among all groups in this neighborhood compared to residents of the South End. In the end, we argue that having multiple groups simply sharing neighborhood space over a stable period is not enough to overcome the social problems associated with residential segregation and isolation. In order to support equitable neighborhood integration amid the changing face of diversity, we should take cues from “diverse by direction” neighborhood models that include active organization and coalition building among dissimilar racial and ethnic groups.
BASICS INEQUALITY
Authors: Gasteyer Stephen P. , Lai Jennifer , Tucker Brittany , Carrera Jennifer , Moss Julius 
Published: October 2016

AbstractIn light of 2014–2016 media coverage about the inadequate water and sanitation services for households in places like Flint and Detroit, Michigan and the Central Valley of California, this paper asks whether places with majority non-White residents in the United States disproportionately lack access to these most basic of services. Investigating this issue through the combined lenses of structural racism, environmental justice, and the human right to water and sanitation, we analyze U.S. Census American Community Survey household data at the county level. Our findings indicate strong White versus non-White racial effects at the national and county levels (R2= 0.0462, P < 0.05). When the non-White population is broken down into racial categories, places with higher percentages of American Indians and Alaska Native households are significantly associated with lack of access to complete plumbing facilities. Lacking access to complete plumbing does correlate with lower educational attainment and higher percentages of unemployment, and less robustly, it also correlates positively with median household income. The implication is the existence of a pattern of structural environmental racism in terms of the practical accessibility of water and sanitation infrastructure. We suspect, however, that the U.S. Census, while considered the most comprehensive national data source on this issue right now, significantly undercounts those lacking access to water and sanitation services. We argue that better data will be essential in order to carry out a more in-depth analysis of water access conditions and to develop strategies that address this issue of growing importance.
Information for mental health systems: an instrument for policy-making and system service quality
Authors: Lora A. , Lesage A. , Pathare S. , Levav I. 
Published: October 2016

Aims.Information is crucial in mental healthcare, yet it remains undervalued by stakeholders. Its absence undermines rationality in planning, makes it difficult to monitor service quality improvement, impedes accountability and human rights monitoring. For international organizations (e.g., WHO, OECD), information is indispensable for achieving better outcomes in mental health policies, services and programs. This article reviews the importance of developing system level information with reference to inputs, processes and outputs, analyzes available tools for collecting and summarizing information, highlights the various goals of information gathering, discusses implementation issues and charts the way forward.Methods.Relevant publications and research were consulted, including WHO studies that purport to promote the use of information systems to upgrade mental health care in high- and low-middle income countries.Results.Studies have shown that once information has been collected by relevant systems and analyzed through indicator schemes, it can be put to many uses. Monitoring mental health services, represents a first step in using information. In addition, studies have noted that information is a prime resource in many other areas such as evaluation of quality of care against evidence based standards of care. Services data may support health services research where it is possible to link mental health data with other health and non-health databases. Information systems are required to carefully monitor involuntary admissions, restrain and seclusion, to reduce human rights violations in care facilities. Information has been also found useful for policy makers, to monitor the implementation of policies, to evaluate their impact, to rationally allocate funding and to create new financing models.Conclusions.Despite its manifold applications, Information systems currently face many problems such as incomplete recording, poor data quality, lack of timely reporting and feedback, and limited application of information. Corrective action is needed to upgrade data collection in outpatient facilities, to improve data quality, to establish clear rules and norms, to access adequate information technology equipment and to train health care personnel in data collection. Moreover, it is necessary to shift from mere administrative data collection to analysis, dissemination and use by relevant stakeholders and to develop a “culture of information” to dismantle the culture of intuition and mere tradition. Clinical directors, mental health managers, patient and family representatives, as well as politicians should be educated to operate with information and not just intuition.
Population viability analysis on a native Danish cattle breed
Authors: Hertz Morten , Jensen Iben Ravnborg , Jensen Laura Østergaard , Nielsen Iben Vejrum , Winde Jacob , Stronen Astrid Vik , Kristensen Torsten Nygaard , Pertoldi Cino 
Published: October 2016

SummaryMany domestic breeds face challenges concerning genetic variability, because of their small population sizes along with a high risk of inbreeding. Therefore, it is important to obtain knowledge on their extinction risk, along with the possible benefits of certain breeding strategies. Since many domestic breeds face the same problems, results from such studies can be applied across breeds and species. Here a Population Viability Analysis (PVA) was implemented to simulate the future probability of extinction for a population of the endangered Danish Jutland cattle (Bos taurus), based on the software Vortex. A PVA evaluates the extinction risk of a population by including threats and demographic values. According to the results from the PVA the population will go extinct after 122 years with the current management. Four scenarios were created to investigate which changes in the breeding scheme would have the largest effect on the survival probabilities, including Scenario 1: More females in the breeding pool, scenario 2: More males in the breeding pool, scenario 3: Increased carrying capacity, and scenario 4: Supplementing males to the population through artificial insemination using semen from bulls used in the populations in past generations. All scenarios showed a positive effect on the population's probability of survival, and with a combination of the different scenarios, the population size seems to be stabilized.
Genetic relationships of indigenous goats reared by pastoralists in Kenya based on mitochondria D-loop sequence
Authors: Githui E.K. , Kibegwa F.M. , Kamau J.M. , Mutura S.K. , Okwany Z.A. , Ngigi D.M. , Mwangi E.W. 
Published: October 2016

SummaryKenya indigenous goat breeds (Capra hircus) have not been accurately described. Therefore, there is threat of erosion of unique genotypes such as those associated with adaptability and disease resistance, through indiscriminate crossbreeding. The Kenyan goats classification based on phenotype/morphology identifies three breeds: Small East African (SEA) goats, the Galla goat and crosses of SEA and the Galla. In the present study, we sampled goats from two main geographic regions of Kenya with pastoralist communities, the Maasai and Somali/Boran. DNA was extracted from whole blood and polymerase chain reaction amplified using primers flanking a fragment of Cytocrome-b and D-loop regions of mitochondria DNA. The sequences derived were analysed both within Kenya goat populations and also compared with phylogeographic-related datasets. These data show that the majority of Kenyan indigenous goats are not distinct and their genetic structure is very diverse; however, distinct haplogroups were present. Genetic diversity showed weak positive in Tajima D test for Kenyan indigenous goats, while the Iberian/Mediterranean/Middle-East dataset had a more pronounced negative value indicating that the two populations are under different selection pressure. These analyses enabled phylogenetic relationships between and within species and the comparisons of local goats to related breeds geographically. The information can be applied management of conservation-guided breeding programmes by crossing the indigenous breed's unique genes with high productivity traits from another source.
Lernstrategiewissen im Bereich Englisch
Authors: Neuenhaus Nora , Artelt Cordula , Schneider Wolfgang 
Published: October 2016

Zusammenfassung. Sowohl die Kenntnis von Strategien als auch das Wissen über ihre situations- und aufgabenadäquate Anwendung spielen eine bedeutende Rolle beim Erwerb von Wissen und Fähigkeiten. Lernstrategiewissen wird in Auseinandersetzung mit einem konkreten Gegenstandsbereich erworben. Zur Untersuchung der Entwicklung des Lernstrategiewissens im Bereich Englisch wurde ein bereichsspezifisches Testverfahren für Schülerinnen und Schüler der 5. – 7. Klasse entwickelt und mittels einer Expertenbefragung geprüft. Im Rahmen einer Pilotierungsstudie mit 398 Teilnehmenden der 5. und 6. Jahrgangstufe erwiesen sich die psychometrischen Eigenschaften des Tests als zufriedenstellend. Zudem ließen sich Annahmen zur inhaltlichen Validität prüfen und bestätigen. Inzwischen liegen Befunde aus einer Längsschnittuntersuchung (5. – 7. Klasse) mit vier Messzeitpunkten vor (N = 835), die eine Stabilität des gemessenen Konstruktes sowie die faktorielle Validität belegen. Analysen zeitverzögerter Effekte des Lernstrategiewissens auf die Englischleistung weisen auf die Prädiktivität des erfassten Wissensbereichs hin und belegen seine Relevanz für die Leistung.
Umgang mit Itempositionseffekten bei der Entwicklung computerisierter adaptiver Tests
Authors: Frey Andreas , Bernhardt Raphael , Born Sebastian 
Published: October 2016

Zusammenfassung. Beim computerisierten adaptiven Testen (CAT) werden geschätzte Itemparameter als bekannt und gültig für alle möglichen Darbietungspositionen im Test angesehen. Diese Annahme ist jedoch problematisch, da sich geschätzte Itemparameter empirisch wiederholt als abhängig von der Darbietungsposition erwiesen haben. Die Nichtbeachtung existierender Itempositionseffekte würde zu suboptimaler Itemauswahl und verzerrter Merkmalsschätzung bei CAT führen. Als Lösungsansatz wird ein einfaches Vorgehen zum Umgang mit Itempositionseffekten bei der CAT-Kalibrierung vorgeschlagen. Hierbei werden Item-Response-Theorie-Modelle mit zunehmender Komplexität bezüglich der Modellierung von Itempositionseffekten geschätzt und das angemessenste Modell aufgrund globaler Modellgeltungskriterien ausgewählt. Das Vorgehen wird an einem empirischen Datensatz aus der Kalibrierung von drei adaptiven Tests (N = 1 632) illustriert. Es zeigten sich Itempositionseffekte, die unterschiedlich differenziert in den einzelnen Tests ausfielen. Durch die Modellierung der Itempositionseffekte wird eine Überschätzung von Varianz und Reliabilität vermieden. Die Nutzung der ermittelten Itempositionseffekte bei nachfolgenden CAT-Anwendungen wird erläutert.
Multi-omic data integration enables discovery of hidden biological regularities
Authors: Ebrahim Ali , Brunk Elizabeth , Tan Justin , O'Brien Edward J. , Kim Donghyuk , Szubin Richard , Lerman Joshua A. , Lechner Anna , Sastry Anand , Bordbar Aarash , Feist Adam M. , Palsson Bernhard O. 
Published: October 2016

AbstractRapid growth in size and complexity of biological data sets has led to the ‘Big Data to Knowledge’ challenge. We develop advanced data integration methods for multi-level analysis of genomic, transcriptomic, ribosomal profiling, proteomic and fluxomic data. First, we show that pairwise integration of primary omics data reveals regularities that tie cellular processes together inEscherichia coli: the number of protein molecules made per mRNA transcript and the number of ribosomes required per translated protein molecule. Second, we show that genome-scale models, based on genomic and bibliomic data, enable quantitative synchronization of disparate data types. Integrating omics data with models enabled the discovery of two novel regularities: condition invariantin vivoturnover rates of enzymes and the correlation of protein structural motifs and translational pausing. These regularities can be formally represented in a computable format allowing for coherent interpretation and prediction of fitness and selection that underlies cellular physiology.