bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multivariate Pattern Classification of Primary Insomnia Using Three Types of Functional Connectivity Features
Authors: Dong Mengshi , Li Chao , Yin Yi , Hua Kelei , Fu Shishun , Wu Yunfan , Jiang Guihua 
Published: January 2019

AbstractObjective:To investigate whether or not functional connectivity (FC) could be used as a potential biomarker for classification of primary insomnia (PI) at the individual level by using multivariate pattern analysis (MVPA).Methods:Thirty-eight drug-naïve patients with PI and 44 healthy controls (HC) underwent resting-state functional MR imaging. Three commonly used FC metrics were calculated for each participant. We used the MVPA framework using linear support vector machine (SVM) with the three types of metrics as features separately. Subsequently, an unbiased N-fold cross-validation strategy was used to generate a classification system and was then used to evaluate its classification performances. Finally, FC metrics with significant high classification performance were compared between the two groups and were correlated with clinical characteristics, i.e., Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS).Results:The best classifier could reach up to an accuracy of 81.5%, with sensitivity of 84.9%, specificity of 79.1% and area under the receiver operating characteristic curve (AUC) of 83.0% (all P < 0.001). Right fronto-insular cortex, left precuneus and left middle frontal gyrus showed high classification weights. In addition, right fronto-insular cortex and left middle frontal gyrus were the overlapping regions between MVPA and group comparison. Correlation analysis showed that functional connectivity strength (FCS) in left middle frontal gyrus and head of right caudate nucleus were correlated with PSQI and SDS respectively.Conclusion:The current study suggests abnormal FCS might serve as a potential neuromarkers for PI.Key Points:FCS in fronto-insular cortex and middle frontal gyrus may be a neuroimaging biomarker for insomnia.FCS can be used to distinguish between patients with primary insomnia from healthy controls with high classification accuracy (81.5%; P < 0.001).FCS in left middle frontal gyrus and head of right caudate nucleus were correlated with PSQI and SDS respectively.Abbreviations:PIprimary insomnia;HChealthy controls;FCfunctional connectivity;MVPAmultivariate pattern analysis;SVMsupport vector machine;FCSfunctional connectivity strength;ROCreceiver operating characteristic curve;AUCarea under the receiver operating characteristic curve;ISIInsomnia Severity Index;PSQIPittsburgh Sleep Quality Index;SASSelf-rating Anxiety Scale;SDSSelf-rating Depression Scale.
PGCN: Disease gene prioritization by disease and gene embedding through graph convolutional neural networks
Authors: Li Yu , Kuwahara Hiroyuki , Yang Peng , Song Le , Gao Xin 
Published: January 2019

ABSTRACTMotivationProper prioritization of candidate genes is essential to the genome-based diagnostics of a range of genetic diseases. However, it is a highly challenging task involving limited and noisy knowledge of genes, diseases and their associations. While a number of computational methods have been developed for the disease gene prioritization task, their performance is largely limited by manually crafted features, network topology, or pre-defined rules of data fusion.ResultsHere, we propose a novel graph convolutional network-based disease gene prioritization method, PGCN, through the systematic embedding of the heterogeneous network made by genes and diseases, as well as their individual features. The embedding learning model and the association prediction model are trained together in an end-to-end manner. We compared PGCN with five state-of-the-art methods on the Online Mendelian Inheritance in Man (OMIM) dataset for tasks to recover missing associations and discover associations between novel genes and diseases. Results show significant improvements of PGCN over the existing methods. We further demonstrate that our embedding has biological meaning and can capture functional groups of genes.AvailabilityThe main program and the data are available at https://github.com/lykaust15/Disease_gene_prioritization_GCN.
Epidemiology of Childhood Blindness: a Community based study in Bangladesh
Authors: Hussain A.H.M Enayet , Ferdoush Junnatul , Mashreky Saidur Rahman , Rahman AKM Fazlur , Ferdausi Nahid , Dalal Koustuv 
Published: January 2019

AbstractThis study has aimed to detect the prevalence and causes of childhood blindness in rural area of Bangladesh. A cross sectional quantitative study design was adopted for this study which carried-out in three unions (sub-districts) of Raiganj upazila of Sirajganj district of Bangladesh. Using a validated tool a screening program was conducted at household level. After initial screening a team of ophthalmologists confirmed the diagnosis by clinical examinations. The prevalence of childhood blindness found was 6.3 per 10,000 children. The rate of uni-ocular blindness was 4.8 per 10,000 children. Congenital problems were the major cause of both uniocular and binocular blindness (UOB: 84% and BB: 92% &). For binocular blindness, whole globe was the responsible site (28.0%, CI: 13.1, 47.7) and cornea was for the uni-ocular blindness (57.8%, CI: 35.3, 78.1). Childhood blindness is a public health problem in Bangladesh. Childhood blindness is common irrespective of gender. Major causes of childhood blindness are congenital.
Primary Studies on the Effect of Microbially Coalbed Methane Enhancement in Suit in the Qinshui Basin
Authors: Xiao Dong , Zhang Cong , Wang Enyuan , He Hailun , Zhang Yidong , Wu Junyong , Deng Liuping , Wang Meng 
Published: January 2019

AbstractMethods used to yield bio-methane with coal to increase coalbed methane reserves had researched, thus providing a means for improving gas drainage efficiency. One such method utilized to convert coal into gas involves coal biodegradation technology. In order to confirm the practical application of this technology, the experiments were conducted in wells, Z-159, Z-163, Z-167, and Z-7H, in the Qinshui Basin in China, and the duration of the experiments was 32 months. Cl- ion tracer, number changes of Methanogen sp., and coal bed biome evolution indicated that the culture medium diffused in the Z-159 and Z-7H wells. These wells resumed gas production separately. Gasification of coal lasted 635 and 799 days, and yielded 74817 m3 and 251754 m3 coalbed methane in Z-159 and Z-7H wells, respectively. Results demonstrate that coalbed methane enhancement with biogasification of coal is a potential technical to achieve the productivity improvement of coalbed methane wells.
Measuring of job satisfaction: the use of quality of work life factors
Authors: Dhamija Pavitra , Gupta Shivam , Bag Surajit 
Published: January 2019

PurposeBanking industry forms a part of financial services that has emerged itself as the most important source for India’s economic growth. Job satisfaction of employees is one of the important pre-requisites to ensure smooth functioning of banks. The purpose of this paper is to explore the association of job satisfaction with the quality of work life factors of bank employees (n=300), followed by the essential influential relationship of these concepts with socio-demographic characteristics, thereby, proving its own distinct contribution to the subsist body of literature.Design/methodology/approachThis study has considered five private sector banks in India and has used the technique of multi-stage sampling to collect primary data. The respondents from different cadres, namely, executive, associate and manager involved in customer-oriented interactions participated in this survey. The analysis has been conducted by applying descriptive statistics, regression analysis (impact of the quality of work life factors on job satisfaction) andχ2statistics (association of the quality of work life and job satisfaction with socio-demographic variables). The results have been compared with the Herzberg Theory of Job Satisfaction.FindingsThe results of the study show the presence of variance (R261.40 percent) in job satisfaction as explained by the quality of work life constructs. The unconducive work environment has confirmed negative association with job satisfaction. The study foresees to contribute useful information to the top management level in the organizations to enhance employees’ overall job satisfaction.Research limitations/implicationsThe opaqueness with which the Indian banking industry has its roots and existence in India, the present study clearly has limits: the small size of the sample and the study considered only private sector banks.Practical implicationsA planned approach at organizational and individual level is highly recommended. The bank management must realize the importance of their devoted staff by giving them quality work environment. The initiatives like regular exercise routines can be adopted to reduce stress. Some respondents expressed the need for intercity branch associations, which can help them to solve common problems, better learning opportunities with an informal atmosphere along with other training sessions organized formally.Originality/valueThe paper gives a theoretical explanation of the quality of work life and job satisfaction factors in the Indian private banks falling under the umbrella of Indian banking industry with respect to the employees of private sector banks.
Moisture management properties of combination herbal extracts treated single jersey knitted fabrics
Authors: Chandrasekaran K. , Senthil Kumar M. 
Published: January 2019

Purpose
The purpose of this paper is to explore the synergic effect of wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) combination herbal extracts treatment on the moisture management properties of cotton, lyocell and micro-denier single jersey knitted fabrics and the factors affecting it, which is intended for the development of healthcare apparel products.

Design/methodology/approach
The pre-treated single jersey knitted fabrics of cotton, lyocell and micro-denier polyester fabrics were given finishing treatment with the wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) combination herbal extract proportions of 100%:0%, 75%:25%,50%:50%; 25%:75% and 0%:100%. The D-optimal factorial design developed using Design Expert software was used for the study. The finishing treatments were carried out using the pad−dry−cure method. The aim of the work is to find out the influence of combination herbal extract proportion, textile material and their interaction effect on the moisture management properties.

Findings
The ANOVA results revealed that the overall moisture management properties of single jersey knitted fabrics are influenced by the material type, combination herbal extract proportion and the interaction between material type and the combination herbal extracts proportion. The overall moisture management properties of combination herbal extracts treated cotton single jersey fabrics are found to be better than that of lyocell and micro-denier polyester fabrics due to their excellent accumulative one-way transport capability after the finishing treatment. Among the combination herbal extract proportions, 50:50 per cent combination herbal extract proportion was found to be better than other proportions.

Originality/value
The study on the moisture management properties of combination herbal extracts of wild turmeric (Curcuma Aromatica Salisb.) and holy basil (Ocimum Tenuiflorum L.) is a novel attempt to explore the synergic effect of active constituents in both the herbs.
Thermal comfort performances of cellulosic socks evaluated by a foot manikin system and moisture management tester
Authors: Kaplan Sibel , Karaman Ceren 
Published: January 2019

Purpose
The purpose of this paper is to investigate thermal comfort performances of socks produced from cotton and regenerated cellulosic fiber yarns by thermal resistance (by a newly designed foot thermal manikin), moisture management tester (MMT) parameters and permeability (air and water vapor) tests.

Design/methodology/approach
Single jersey fabrics and socks were knitted from 30 Ne yarns produced from cotton, different regenerated cellulosic fibers (viscose, modal, bamboo, micromodal, Tencel®, Tencel LF®) and their blends. Thermal resistances of the socks were compared by a newly developed thermal foot manikin in a more realistic way than measurements in fabric form. Besides air and water vapor permeability, moisture management parameters of the fabrics were tested to differentiate performances of cellulosic fibers.

Findings
Results show that air permeability, liquid absorption and transfer parameters measured by MMT are generally identical and better for regenerated cellulosic fabrics than cotton. Micromodal and Tencel® have better performances for liquid transfer and overall moisture management capacities are superior for bamboo and Tencel LF®. Thermal resistances of the socks are minimum for Tencel LF® having a cross-linked structure and maximum for viscose socks.

Originality/value
It is thought that thermal resistance measured in socks form is more realistic than fabric measurements and results of this study that can be valid for all knitted garments. Moreover, comprehensive material plan of the study is valuable for getting reliable results for regenerated cellulosic fibers that have small differences in cases of thermal resistance and liquid transfer.
Challenges and insights in inter-organizational collaborative healthcare networks
Authors: Mervyn Kieran , Amoo Nii , Malby Rebecca 
Published: January 2019

PurposePublic sectors have responded to grand societal challenges by establishing collaboratives – new inter-organizational partnerships to secure better quality health services. In the UK, a proliferation of collaboration-based healthcare networks exists that could help to enhance the value of investments in quality improvement programs. The nature and organizational form of such improvements is still a subject of debate within the public-sector literature. Place-based collaboration has been proposed as a possible solution. In response, the purpose of this study is to present the results and findings of a place-based collaborative network, highlighting challenges and insights.Design/methodology/approachThis study adopted a social constructionist epistemological approach, using a qualitative methodology. A single case study was used and data collected in three different stages over a two-year period.FindingsThe study finds that leadership, data-enabled learning through system-wide training and development, and the provision of an enabling environment that is facilitated by an academic partner, can go a long way in the managing of healthcare networks for improving quality.Research limitations/implicationsRegardless of the tensions and challenges with place-based networks, they could still be a solution in maximizing the public value required by government investments in the healthcare sector, as they offer a more innovative structure that can help to address complex issues beyond the remit of hierarchical structures. This study is limited by the use of a single case study.Practical implicationsAcross countries health systems are moving away from markets to collaborative models for healthcare delivery and from individual services to population-based approaches. This study provides insights to inform leaders of collaborative health models in the design and delivery of these new collaborations.Social implicationsAs demand rises (as a result of increasing complexity and demographics) in the western world, health systems are seeking to redefine the boundaries between health service provision and community self-reliance and resilience. This study provides insights into the new partnership between health institutions and communities, providing opportunities for more social- and solidarity-based healthcare models which place patients and the public at the heart of change.Originality/valueThe city place-based network is the first of such organizational form in healthcare collaboration in the UK.
Loyalty intentions and selected relationship quality constructs
Authors: Petzer Daniel J. , van Tonder Estelle 
Published: January 2019

PurposeThe purpose of this paper is to assess the mediating effect of customer engagement on the relationships between selected relationship quality and value antecedents (commitment, customer satisfaction, trust and customer value), and the consequence (loyalty intentions) within the short-term insurance industry.Design/methodology/approachA descriptive research design that is quantitative in nature was followed and 491 responses from insurance customers were analysed.FindingsShort-term insurers should facilitate customer engagement by implementing strategies that foster customer commitment, ensure customer satisfaction, build trust and create customer value. Facilitating customer engagement may lead to stronger loyalty intentions amongst customers towards the short-term insurer.Research limitations/implicationsThe investigation offers a greater understanding of the relevance and importance of the customer engagement theory and the impact it may have in strengthening the relationships between factors of the relationship marketing domain and customer loyalty.Practical implicationsFrom a managerial perspective, it is evident that short-term insurers should facilitate customer engagement carrying out strategies that foster customer commitment, ensure customer satisfaction, build trust and create customer value.Originality/valueBuilding on the work of earlier relationship and quality management scholars, the study provides new insight into the role and relevance of relationship quality and value factors and customer engagement, while simultaneously being assessed for their contribution to customer loyalty.
Power of positive words: communication, cognition, and organizational transformation
Authors: Muthusamy Senthil Kumar 
Published: January 2019

Purpose
In the extant organizational change literature scant attention has been given to the communication and cognitive processes consequential to organizational transformation. From the communication and sense-making perspectives, this study discusses the role of positive communication involving stories, metaphors or axioms in fostering socio-cognitive routines necessary for organizational change. The study further examines the empirical link between positive communication and organizational transformation with the survey data from professionals who have experienced the organizational change episode. The paper aims to discuss these issues.

Design/methodology/approach
The study examines the empirical link between the positive communication and organizational transformation with a survey data collected from 174 management professionals who have recently experienced the organizational change episodes such as restructuring, reengineering, TQM adoption or new strategy implementation. With the content analysis of narratives containing metaphors, axioms and stories, the study unravels the underlying clusters of organizational and socio-cognitive dimensions associated with organizational transformation.

Findings
The study results affirm the importance of positive communication and its effects on the emotional buy-in, learning and transformation occurring at the individual level, and attest to the transformational effect of positive axioms, metaphors or stories on the organization. The study also revealed that the positive communication diffusing social, cognitive or emotional attributes such as commitment, trust or optimism produces the desired transformational effect.

Practical implications
It is imperative for managers to understand the relationship between socio-linguistic processes and cognitive attributes such as trust, commitment and learning. With the help of right metaphors, stories and axioms that resonate with changing industry conditions, managers can effectively orchestrate the strategic intent and organizational transformation.

Originality/value
Most studies on the relationship between managerial communication and organizational transformation are primarily qualitative case studies focusing on the dialectics of organizational change. This study carries the strong external validity by capturing the connection between managerial communications and their transformational effect with the help of data collected from the management professionals across multiple industries.
Rising Damp in the Suburbs. Or ‘Whatever Happened to the Villa Tory?’
Authors: Baston Lewis 
Published: January 2019

AbstractThe suburban areas that were initially stereotyped in the late nineteenth century as ‘Villa Tory’ strongholds and exemplified by Hackney and Islington had, by the 1980s, become ‘bedsitter’ areas dominated by the political left. An examination of the evolution of electoral behaviour in these areas shows that conservatism did indeed dominate the villa suburbs, and that although there were previous intimations of decline, it was not until 1945 that Labour broke the Conservatives’ grip. The causes of this are identified as an outward movement of the population to interwar suburbia, the breaking up of villas into flats, and Labour's increasing appeal to middle class electors. In this category of seats, Labour has outperformed the party's national achievement consistently since 1955; the party's exceptional results here in the 2017 election are, therefore, a new peak on a long‐term trend rather than a breakthrough.
Molecular phylogeographic analyses and species delimitations reveal that Leopoldamys edwardsi (Rodentia: Muridae) is a species complex
Authors: LI Haotian , KONG Lingming , WANG Kaiyun , ZHANG Shuping , MOTOKAWA Masaharu , WU Yi , WANG Wenquan , LI Yuchun 
Published: January 2019

AbstractLeopoldamys edwardsi is a species with wide distribution ranges in southern China but is not discussed in studies on geographic variation and species differentiation. We used 2 mitochondrial (Cytb, CO1) and 3 nuclear (GHR, IRBP and RAG1) genes to clarify species phylogeography and geographical differentiation. Maximum likelihood (ML) and Bayesian phylogenetic inference (BI) trees consistently indicated that L. edwardsi is a species complex containing 3 main lineages with high Kimura‐2‐parameter (K2P) divergences (i.e. lineages LN, LS and LHN) found in the northern and southern China and Hainan Island, respectively. The 3 species delimitation methods, automated barcoding gap discovery, Bayesian poisson tree process analysis and Bayesian phylogenetics and phylogeography, consistently supported the existence of cryptic species. Divergence times among the main lineages were inferred to be during the Pleistocene, with LHN/LS split at 1.33 Ma and LN/(LHN+LS) at 2.61 Ma; the diversifications of L. edwardsi complex might be caused by the rapid uplifts of Tibetan Plateau, paleoclimate change and complex topography. The divergence between LHN and LS was probably related to the separation of Hainan Island from the mainland via the formation of the Qiongzhou Strait. Lineages LN and (LS+LHN) likely diverged due to the Wuyi‐Nanling mountain range forming a dispersal barrier. Our results suggested that L. edwardsi complex contains at least 3 distinct species: LHN represents L. hainanensis, endemic to Hainan Island and previously considered as a subspecies L. e. hainanensis; LS represents a cryptic species distributed throughout the southern Chinese continent; and LN represents the nominotypical species L. edwardsi.