bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sub-district Costs and Efficiency of the Re Mmogo Pholong (“Together in Wellness”) Combination HIV/AIDS Prevention Intervention in the North West Province of South Africa
Authors: Kevany Sebastian 
Published: February 2019

AbstractBackgroundRe Mmogo Pholong (RMP) or “Together in Wellness”), was a combination prevention program to strengthen HIV prevention programming, community support mechanisms, community-based HIV testing, referral systems, and HIV prevention integration at the primary care level, thereby sustainably reducing HIV/AIDS transmission in the North West Province of South Africa. RMP included four overlapping components: situational analysis, community engagement and mobilization, community-based biomedical and behavioral prevention, and primary health care systems strengthening. In support of the PEPFAR country-ownership paradigm, we conducted costing analysis of the RMP combination HIV prevention program to determine data needed for potential transition of to local ownership.MethodsWe used standard costing methodology for this research.ResultsWe found that cost per unit of output ranged from $63.93 (cost per person reached with individual or small group prevention interventions) to $4,344.88 (cost per health facility strengthened). The RMP intervention was primarily dependent on personnel costs. This was true regardless of the time period (Year 1 vs. Year 2) or activity (i.e. wellness days or events, primary health care strengthening, community engagement, and wellness clubs).ConclusionsThe development of labor-intensive rather than capital intensive interventions for low-income settings such as RMP was identified as being particularly important in treating and preventing HIV/AIDS and other health conditions in a sustainable manner. Costs were also observed to transition from international cost centers to in-country headquarters offices over time, in keeping with the transition of international to local responsibility required for sustainable PEPFAR initiatives. Such costing center evolution was also reflected by changes in the composition of the intervention, including (1) the redesign and re-deployment of service delivery sites according to local needs, uptake and implementation success and (2) the flexible and adaptable restructuring of intervention components in response to community needs.
A critical but divergent role of PRDM14 in human primordial germ cell fate revealed by inducible degrons
Authors: Sybirna Anastasiya , Tang Walfred W.C. , Dietmann Sabine , Gruhn Wolfram H. , Azim Surani M. 
Published: February 2019

AbstractPRDM14 is a crucial regulator of mouse primordial germ cells (mPGC), epigenetic reprogramming and pluripotency, but its role in the evolutionarily divergent regulatory network of human PGCs (hPGCs) remains unclear. Besides, a previous knockdown study indicated that PRDM14 might be dispensable for human germ cell fate. Here, we decided to use inducible degrons for a more rapid and comprehensive PRDM14 depletion. We show that PRDM14 loss results in significantly reduced specification efficiency and an aberrant transcriptome of human PGC-like cells (hPGCLCs) obtainedin vitrofrom human embryonic stem cells (hESCs). Chromatin immunoprecipitation and transcriptomic analyses suggest that PRDM14 cooperates with TFAP2C and BLIMP1 to upregulate germ cell and pluripotency genes, while repressing WNT signalling and somatic markers. Notably, PRDM14 targets are not conserved between mouse and human, emphasising the divergent molecular mechanisms of PGC specification. The effectiveness of degrons for acute protein depletion is widely applicable in various developmental contexts.
Reconciling simulated ensembles of apomyoglobin with experimental HDX data using Bayesian inference and multi-ensemble Markov State Models
Authors: Wan Hongbin , Ge Yunhui , Razavi Asghar , Voelz Vincent A. 
Published: February 2019

AbstractHydrogen/deuterium exchange (HDX) is a powerful technique to investigate protein conformational dynamics at amino acid resolution. Because HDX provides a measurement of solvent exposure of backbone hydrogens, ensemble-averaged over potentially slow kinetic processes, it has been challenging to use HDX protection factors to refine structural ensembles obtained from molecular dynamics simulations. This entails two dual challenges: (1) identifying structural observables that best correlate with backbone amide protection from exchange, and (2) restraining these observables in molecular simulations to model ensembles consistent with experimental measurements. Here, we make significant progress on both fronts. First, we describe an improved predictor of HDX protection factors from structural observables in simulated ensembles, parameterized from ultra-long molecular dynamics simulation trajectory data, with a Bayesian inference approach used to retain the full posterior distribution of model parameters.We next present a new method for obtaining simulated ensembles in agreement with experimental HDX protection factors, in which molecular simulations are performed at various temperatures and restraint biases, and used to construct multi-ensemble Markov State Models (MSMs). Finally, the BICePs algorithm (Bayesian Inference of Conformational Populations) is then used with our HDX protection factor predictor to infer which thermodynamic ensemble agrees best with experiment, and estimate populations of each conformational state in the MSM. To illustrate the approach, we use a combination of HDX protection factor restraints and chemical shift restraints to model the conformational ensemble of apomyoglobin at pH 6. The resulting ensemble agrees well with experiment, and gives insight into the all-atom structure of disordered helices F and H in the absence of heme.Graphical TOC Entry
Identification of 67 pleiotropic genes for seven autoimmune diseases using multivariate statistical analysis
Authors: Jia Xiaocan , Shi Nian , Xia Zhenhua , Feng Yu , Li Yifan , Tan Jiebing , Xu Fei , Wang Wei , Sun Changqing , Deng Hongwen , Yang Yongli , Shi Xuezhong 
Published: February 2019

AbstractAlthough genome-wide association studies (GWAS) have a dramatic impact on susceptibility locus discovery, this univariate approach has limitation in detecting complex genotype-phenotype correlations. It is essential to identify shared genetic risk factors acting through common biological mechanisms of autoimmune diseases with a multivariate analysis. In this study, the GWAS summary statistics including 41,274 single nucleotide polymorphisms (SNPs) located in 11,516 gene regions was analyzed to identify shared variants of seven autoimmune diseases using metaCCA method. Gene-based association analysis was used to refine the pleiotropic genes. In addition, GO term enrichment analysis and protein-protein interaction network analysis were applied to explore the potential biological function of the identified genes. After metaCCA analysis, 4,962 SNPs (P<1.21×10−6) and 1,044 pleotropic genes (P<4.34×10−6) were identified. By screening the results of gene-based p-values, we identified the existence of 27 confirmed pleiotropic genes and highlighted 40 novel pleiotropic genes which achieved significance threshold in metaCCA analysis and were also associated with at least one autoimmune disease in the VEGAS2 analysis. The metaCCA method could identify novel variants associated with complex diseases incorporating different GWAS datasets. Our analysis may provide insights for some common therapeutic approaches of autoimmune diseases based on the pleiotropic genes and common mechanisms identified.Author summaryAlthough previous researches have clearly indicated varying degrees of overlapping genetic sensitivities in autoimmune diseases, it has proven GWAS only explain small percent of heritability. Here, we take advantage of recent technical and methodological advances to identify pleiotropic genes that act on common biological mechanisms and the overlapping pathophysiological pathways of autoimmune diseases. After selection using multivariate analysis and verification using gene-based analyses, we successfully identified a total of 67 pleiotropic genes and performed the functional term enrichment analysis. In particularly, 27 genes were identified to be pleiotropic in previous different types of studies, which were validated by our present study. Forty significant genes (16 genes were associated with one disease earlier, and 24 were novel) might be the novel pleiotropic candidate genes for seven autoimmune diseases. The improved detection not only yielded the shared genetic components but also provided better understanding for exploring the potential common biological pathogenesis of these major autoimmune diseases.
Designing of smart chair for monitoring of sitting posture using convolutional neural networks
Authors: Kim Wonjoon , Jin Byungki , Choo Sanghyun , Nam Chang S. , Yun Myung Hwan 
Published: February 2019

Purpose
Sitting in a chair is a typical act of modern people. Prolonged sitting and sitting with improper postures can lead to musculoskeletal disorders. Thus, there is a need for a sitting posture classification monitoring system that can predict a sitting posture. The purpose of this paper is to develop a system for classifying children’s sitting postures for the formation of correct postural habits.

Design/methodology/approach
For the data analysis, a pressure sensor of film type was installed on the seat of the chair, and image data of the postu.re were collected. A total of 26 children participated in the experiment and collected image data for a total of seven postures. The authors used convolutional neural networks (CNN) algorithm consisting of seven layers. In addition, to compare the accuracy of classification, artificial neural networks (ANN) technique, one of the machine learning techniques, was used.

Findings
The CNN algorithm was used for the sitting position classification and the average accuracy obtained by tenfold cross validation was 97.5 percent. The authors confirmed that classification accuracy through CNN algorithm is superior to conventional machine learning algorithms such as ANN and DNN. Through this study, we confirmed the applicability of the CNN-based algorithm that can be applied to the smart chair to support the correct posture in children.

Originality/value
This study successfully performed the posture classification of children using CNN technique, which has not been used in related studies. In addition, by focusing on children, we have expanded the scope of the related research area and expected to contribute to the early postural habits of children.
Synchronicity of global construction cost indexes
Authors: Zhang Ruixi , Xing Jinding , Ye Kunhui , Lu Weisheng , Shan Yongwei 
Published: February 2019

Purpose
The purpose of this paper is to examine the features and tendency of cost indices in the global construction setting.

Design/methodology/approach
Data from 22 countries/regions are collected and analyzed using maximum variance formulation and Kendall rank correlation coefficient.

Findings
It is found that global construction cost indexes (CCIs) have commonly maintained a steady increase for decades, and the CCIs synchronize with each other. Overall synchronicity and synchronicity of different countries pairs have increased with time significantly.

Research limitations/implications
The major limitation, however, is the availability of data: only 22 regions/countries are examined, the distribution of these regions/countries is imbalanced between different continents and various indices are adopted around the world, of which statistical methods are not same.

Practical implications
The implication is that a better perception of CCIs enables contractors to have a robust estimation for bidding prices and to improve the efficiency of construction projects management. The research findings also provide a useful reference for those countries that have not established construction cost indices databases to forecast the tendency of domestic construction industries.

Originality/value
This paper contributes to the overall body of knowledge by presenting the co-movement of global CCIs and measuring the changes of CCI synchronicity with time and in different countries pairs.
Value conflicts between local government and private sector in stock public-private partnership projects
Authors: Zhu Fangwei , Sun Mouxuan , Wang Linzhuo , Sun Xiuxia , Yu Miao 
Published: February 2019

Purpose
The complexity caused by conflicting values of stakeholders is a critical issue influencing the performance and sustainability of stock public–private partnership (SPPP) projects, which is a special type of public–private partnership (PPP) project in China. The purpose of this paper is to focus on value conflicts between local government and private sector, which are two major stakeholders in SPPP projects, and investigate exchange rules to resolve value conflicts.

Design/methodology/approach
Using a mixed method approach, 55 semi-structured interviews were conducted for 15 stakeholders involved in a representative SPPP project. Social network analysis was then adopted to outline the value conflict network based on data drawn from focus group discussions. Finally, 24 value conflicts between local government and private sector were analyzed through another 13 semi-structured interviews in an abductive approach.

Findings
Results show that value conflicts between local government and private sector are dynamic and intertwined within and across three project phases, based on which six exchange rules, rationality, Altruism, power consistency, competition, group gain and reciprocity, are identified. Two sets of situational factors which potentially influence exchange rules adopted by the two parties are revealed, namely, urgency and professionality for local government and short-term interests and long-term interests for private sector. A summary of paired exchange rules is provided to predict if value conflicts between the two major stakeholders will be resolved or not.

Research limitations/implications
Theoretical implications are twofold. First, the results provide a contribution to PPP project management by investigating value conflicts between local government and private sector, which deepen the understanding on the unique characteristics of SPPP projects. Second, the findings contribute to a comprehensive understanding of social exchange theory by suggesting a summary of condition-based and pair-based exchange rules.

Originality/value
One strength of the study is in the concentrated analysis of a single case which allows for a deep understanding of value complexity between local government and private sector in SPPP projects from a dynamic and networked perspective. A guideline is provided for both parties when a value conflict is found hard to resolve. Besides, this study is also among the first that addresses value issues in SPPP projects.
Exploring the use of Gestalt’s principles in improving the visualization, user experience and comprehension of COBie data extension
Authors: Yalcinkaya Mehmet , Singh Vishal 
Published: February 2019

PurposeUntil now, the usage and usability factors associated with AEC–FM standards have remained largely overlooked. This oversight could be a potentially significant factor in the adoption rates as well as effective utilization of such advanced solutions in the AEC–FM industry. Therefore, from a conceptual and theoretical viewpoint, the purpose of this paper is to address this gap in understanding and enhancing the usability aspects of standards such as construction operations building information exchange (COBie) over its spreadsheet representation. Besides, findings from this study and the proposed theoretical fundamentals to enhance the usability and functionality of COBie spreadsheet representation could potentially lay the foundation for a VisualCOBie approach.Design/methodology/approachThe iterative steps of design thinking and agile development are harmonized to form the main research methodology. Design thinking is useful in problem (re)formulation, and agile development is useful in iterative software development. The approach aims to identify and understand the needs and requirements of the AEC–FM users from the standardized approaches and associated IT solutions; and formulate the main features and functionalities of the proposed solution. The methodology supports the aim of generating a broad range of possible solutions instead of coming up with the “right” solution.FindingsDespite the standards and associated IT developments, the AEC–FM industry still suffers from inefficient information management. To date, most initiatives have focused on utilization of the outputs from different IT solutions in terms of accuracy and completeness of the data defined in the standards. This research found that well-established standards such as COBie and corresponding IT solutions are not merely technical issues, but it is equally important to understand how the end-users cognitively perceive and process them. The developed solutions need to address user point of view to facilitate wider utilization of these standards in practice.Research limitations/implicationsIn this research, Gestalt’s visual perception principles have been used to evaluate the usability issues of COBie spreadsheet. Although Gestalt principles provide a valid and proven viewpoint, there can be other cognitive principles that could also be taken into consideration.Originality/valueThe usage and usability factors associated with AEC–FM standards have remained largely overlooked, indicating a gap in the literature. This gap was considered as a potentially significant factor in the adoption as well as effective utilization of such standards and advanced solutions in the AEC–FM industry. By grounding the research in cognitive and usability perspectives of information exchange standards, the authors demonstrate how such theoretical underpinning can lead to innovative solutions.
Determinants of climate change disclosures in the Turkish banking industry
Authors: Kılıç Merve , Kuzey Cemil 
Published: February 2019

PurposeThe purpose of this paper is to investigate the extent of voluntary climate change disclosures in the Turkish banking industry and explore the factors explaining the extent of such disclosures.Design/methodology/approachThe research sample is based upon 24 banks that had been continuously operating in Turkey over the seven-year period from 2010 to 2016. The study uses a disclosure index to investigate the extent of voluntary climate change-related disclosures made in their annual and sustainability reports by banks. The study also investigates factors impacting the extent of disclosures by using multiple regression and fractional regression analysis.FindingsThe findings of the research reveal that while the number of banks providing voluntary information on their climate change-related practices substantially increased from 2010 to 2016, there remains a significant number of banks that have not incorporated climate change-related issues into their lending policies or corporate strategies. Further, with regard to the regression analysis, the study documents the significant and positive impacts of bank size, profitability, bank age and listing status upon the extent of the climate change disclosures, in line with political cost and legitimacy theory.Practical implicationsThe banking sector crucially impacts climate change indirectly, since banks provide financial backing to companies operating in environmentally sensitive industries. This paper presents empirical evidence of the factors impacting the extent of climate change disclosures by these banks, which might then be referred to by regulatory bodies when developing policies to promote environmentally responsible business practices within the banking industry.Social implicationsSeveral parties, which include governments, companies, financial institutions and non-governmental organizations (NGOs) must work together to fight climate change. In this sense, the NGOs and green activists have a crucial role in raising public awareness about climate change, which might then inspire financial institutions to incorporate climate change-related issues into their policies, operations and strategies.Originality/valueThe study extends the prior literature in two ways. This study has concentrated on environmental reporting practices in the banking sector which have been investigated in very few prior studies. Since prior research has focused on developed countries, this paper adds to the current literature by examining the environmental disclosure practices of commercial banks operating in Turkey, which is a rapidly developing country.
The uncertain future of globalization
Authors: Steenkamp Jan-Benedict 
Published: February 2019

Purpose
The purpose of this paper is to offer a different perspective on the global consumer culture (GCC) phenomenon and identify new avenues for future research.

Design/methodology/approach
The paper is a thought piece.

Findings
The unprecedented globalization of the marketplace in the last 50 years has given rise to the emergence of GCC, and the rise of global companies and global brands, among others. Yet, as one surveys the globalscape, there are developments on the horizon that might threaten continued globalization. In this paper, the author discusses these developments and their implications around three interrelated, yet distinct, components of globalization: global integration of world economies, GCC and global brands.

Originality/value
The paper identifies unique research opportunities to study GCC in an emerging business context in which continued global integration is not guaranteed, and where globalization headwinds could reduce the contribution of perceived brand globalness to brand value.
Role of empowerment and sense of community on online social health support group
Authors: Sharma Shwadhin , Khadka Anita 
Published: February 2019

Purpose
Drawing on the taxonomy of patient empowerment and a sense of community (SoC), the purpose of this paper is to analyze the factors that impact the intention of the individual to continue using online social health support community for their chronic disease management.

Design/methodology/approach
A survey design was used to collect the data from multiple online social health support groups related to chronic disease management. The survey yielded a total of 246 usable responses.

Findings
The primary findings from this study indicate that the informational support – not the nurturant support such as emotional, network, and esteem support – are the major types of support people are seeking from an online social health support community. This research also found that patient empowerment and SoC would positively impact their intention to continue using the online health community.

Research limitations/implications
This study utilized a survey design method may limit precision and realism. Also, there is the self-selection bias as the respondents self-selected themselves to take the survey.

Practical implications
The findings can help the community managers or webmasters to design strategies for the promotion and diffusion of online social health group among patient of chronic disease. Those strategies should focus on patient’s empowerment through action facilitating and social support and through creating a SoC.

Originality/value
An innovative research model integrates patient empowerment and a SoC to study patient’s chronic disease management through online social health groups to fill the existing research gap.