bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Psychological Factors and Suicidal Intent Among Suicide Attempters in Rural China
Authors: Wang Jin-Yu , Chu Jie , Sun Shi-Hua , Zhang Jie , Guo Xiao-Lei , Jia Cun-Xian 
Published: December 2016

Abstract
This study explores the effects of social psychological factors on suicidal intent among suicide attempters in rural China. Suicide attempters were identified by the county-level Centers for Disease Control and Prevention (CDCs) and interviewed by the research team. A path analysis was conducted with physical illness, social support, and negative life events as exogenous variables, and life satisfaction, depressive emotions, and suicidal intent as endogenous variables. Beginning with a saturation model, a best model was obtained after removing the paths that were not significant. In the final model, depressive emotions and life satisfaction were directly associated with suicidal intent, and the standardized effect estimates were 0.3007 (p < 0.001) and −0.1182 (p = 0.0368). Physical illness, social support, and negative life events did not directly affect suicidal intent but had indirect effect. Depressive emotions may be the most important and direct predictor of suicidal intent; physical illness, negative life events, and social support affect suicidal intent through life satisfaction and depressive emotions.
Expressed Emotion and Attributions in Relatives of Patients With Obsessive-Compulsive Disorder and Panic Disorder
Authors: Renshaw Keith D. , Chambless Dianne L. , Thorgusen Sommer 
Published: December 2016

Abstract
Relatives' criticism of, hostility toward, and emotional overinvolvement (EOI) with patients are predictive of treatment response and relapse. Although these constructs have been linked to relatives' attributions for patient problems, little research has yet evaluated attributions for specific types of problems. This study examined event-specific attributions (i.e., attributions specifically for either disorder-related [DR] or non-DR problems) in relatives of patients with anxiety disorders. Relatives made more illness attributions (attributing problems to a patient's disorder) than controllable attributions (attributing problems to factors controllable by patients) for DR events, with the reverse pattern for non-DR events. Criticism and hostility were associated primarily with controllability attributions for non-DR events. In contrast, the presence of EOI was associated with illness attributions for non-DR events. Family-based interventions for anxiety disorders might need to focus on relatives' controllability attributions for a broad range of patient behaviors and on reducing tendencies to attribute non-DR problems to patients' disorders.
BCFtools/csq: Haplotype-aware variant consequences
Authors: Danecek Petr , McCarthy Shane A. 
Published: December 2016

AbstractMotivation:Prediction of functional variant consequences is an important part of sequencing pipelines, allowing the categorization and prioritization of genetic variants for follow up analysis. However, current predictors analyze variants as isolated events, which can lead to incorrect predictions when adjacent variants alter the same codon, or when a frame-shifting indel is followed by a frame-restoring indel. Exploiting known haplotype information when making consequence predictions can resolve these issues.Results:BCFtools/csq is a fast program for haplotype-aware consequence calling which can take into account known phase. Consequence predictions are changed for 501 of 5019 compound variants found in the 81.7M variants in the 1000 Genomes Project data, with an average of 139 compound variants per haplotype. Predictions match existing tools when run in localized mode, but the program is an order of magnitude faster and requires an order of magnitude less memory.Availability:The program is freely available for commercial and non-commercial use in the BCFtools package which is available for download fromhttp://samtools.github.io/bcftoolsContact:pd3@sanger.ac.uk
The Bacterial Sequential Markov Coalescent
Authors: De Maio Nicola , Wilson Daniel J 
Published: December 2016

AbstractBacteria can exchange and acquire new genetic material from other organisms directly and via the environment. This process, known as bacterial recombination, has a strong impact on the evolution of bacteria, for example leading to the spread of antibiotic resistance across clades and species, and to the avoidance of clonal interference. Recombination hinders phylogenetic and transmission inference because it creates patterns of substitutions that are not consistent with the hypothesis of a single evolutionary tree (homoplasies). Bacterial recombination is typically modelled as statistically akin to the gene conversion process of eukaryotes, i.e., using the coalescent with gene conversion (CGC). However, this model can be very computationally demanding as it requires to account for the correlations of evolutionary histories of even distant loci. So, with the increasing popularity of whole genome sequencing, the need has emerged for a new and faster approach to model and simulate bacterial evolution at genomic scales. We present a new model that approximates the coalescent with gene conversion: the bacterial sequential Markov coalescent (BSMC). Our approach is based on a similar idea to the the sequential Markov coalescent (SMC), an approximation of the coalescent with recombination. However, bacterial recombination poses hurdles to a sequential Markov approximation, as it leads to strong correlations and linkage disequilibrium across very distant sites in the genome. Our BSMC overcomes these difficulties and shows both a considerable reduction in computational demand compared the exact CGC, and very similar patterns in the simulated data. We use the BSMC within an Approximate Bayesian Computation (ABC) inference scheme and show that we can correctly recover parameters simulated under the exact CGC, which further showcases the accuracy of our approximation. We also use this ABC approach to infer recombination rate, mutation rate, and recombination tract length from a whole genome alignment ofBacillus cereus. Lastly, we implemented our BSMC model within a new simulation software FastSimBac. In addition to the decreased computational demand compared to previous bacterial genome evolution simulators, FastSimBac also provides a much more general set of options for evolutionary scenarios, allowing population structure with migration, speciations, population size changes, and recombination hotspots. FastSimBac is available fromhttps://bitbucket.org/nicofmay/fastsimbacand is distributed as open source under the terms of the GNU General Public Licence.
Funny, scary, dead
Authors: Branchik Blaine J. , O’Leary Bay 
Published: December 2016

Purpose
The purpose of this study is to examine negative depictions of male homosexuality in US print and video advertising during the twentieth and early twenty-first centuries. It answers three research questions: What sorts of negative depictions of homosexuality are presented? How, if at all, have pejorative depictions of gay men evolved in the past 100 years? and Why have they changed?

Design/methodology/approach
The authors specify eight depictions of negative imagery in advertising and, using content analysis, assess 88 print and video advertisements featuring 133 depictions culled from a large sample.

Findings
Analysis reveals that, once rare, there has been a rapid expansion of negative gay imagery in advertisements beginning in 2000, even as gays are gain increasing acceptance and visibility. Typical advertisement depictions have evolved from men dressed as woman early in the twentieth century to men reacting with fear, revulsion or even violence to concerns that they might be gay or be subject to homosexual advances.

Research limitations/implications
Given the paucity of available imagery, data collection was opportunistic and resulted in a relatively small sample.

Practical implications
Practitioners can benefit from explication of how various audiences can view certain advertisement depictions of gay men as insulting or threatening. They can then become more attuned to the impact of negative minority depictions in general.

Social implications
Society can benefit from heightened awareness of the impact imagery can have on minority or marginalized groups. Results further illustrate society’s evolving and ambivalent views on homosexuality, the visibility of gay imagery in media in general and changing notions of manhood and masculinity.

Originality/value
The authors are aware of no other study that specifically categorizes and assesses negative depictions of gay advertisement imagery.
Heraldry and brand logotypes: 800 years of color combinations
Authors: Droulers Olivier 
Published: December 2016

Purpose
The purpose of this paper is to draw a parallel between color combinations in coats of arms of the twelfth century and color combinations in current brand logotypes of 400 companies from the Forbes Global 2000 list.

Design/methodology/approach
In this work, the frequency of color combinations displayed in medieval coats of arms and in the brand logotypes of the top 400 largest companies in the Forbes list were compared.

Findings
One of the main findings of this research is the stability of color usage in two visual identity systems – coats of arms and brand logotypes – although 800 years separate them. In these two identification systems, almost the same colors are preferred or rejected. Yet, even though it is regularly argued that color will submerge the consumption world, this research shows that, in the twenty-first century, visual identities of brands are rather less colorful than medieval coats of arms: nowadays, at a global level, half of the logotypes are formed with white combined with red and/or blue.

Originality/value
By drawing a parallel between two visual identification systems that are coats of arms and logotypes, the results from this study highlight the stability in color usage and color combinations along the centuries. Thus, it seems that modern analysis of color combination practices could greatly benefit from the history and historical evolution of coats of arms. Far from being out of date, the study of coats of arms can provide marketers with interesting insights about the rules and implementation of color combinations when designing logotypes.
Effectiveness of the GM(1,1) model on linear growth sequence and its application in global primary energy consumption prediction
Authors: Yuan Chaoqing , Chen Ding 
Published: December 2016

Purpose
The purpose of this paper is to investigate the effectiveness of GM(1,1) model on linear growth sequences (LGS) by random experiments and global primary energy consumption is predicted as by the GM(1,1) and the autoregressive integrated moving average (ARIMA) model, which is used as a reference.

Design/methodology/approach
LGS generated randomly are used for GM(1,1) modeling. The results of the massive repeated random experiments are analyzed to test the effectiveness of the GM(1,1) model and global primary energy consumption is predicted using the GM(1,1) model and the ARIMA model.

Findings
The use of the GM(1,1) model is effective when used for a LGS and the model is proven to be reliable by the experiments. Global primary energy consumption is predicted with the GM(1,1) model and the ARIMA model as a case study, and the results show that GM(1,1) is quite good. Global primary energy consumption will increase by 1.03 percent in 2016.

Originality/value
The contribution of this paper includes the following: first, the applicability of the GM (1,1) model is further discussed with random experiments and it is feasible for a LGS; second, random experiments provide good proof that four data are enough for GM(1,1) modeling, and GM(1,1) model is reliable; third, prediction by using GM(1,1) model with small data is even better than time-series analysis in the case study.
On the fit and forecasting performance of grey prediction models for projecting educational attainment
Authors: Tang Hui-Wen Vivian , Chou Tzu-chin Rojoice 
Published: December 2016

PurposeThe purpose of this paper is to evaluate the forecasting performance of grey prediction models on educational attainmentvis-à-visthat of exponential smoothing combined with multiple linear regression employed by the National Center for Education Statistics (NCES).Design/methodology/approachAn out-of-sample forecasting experiment was carried out to compare the forecasting performances on educational attainments among GM(1,1), GM(1,1) rolling, FGM(1,1) derived from the grey system theory and exponential smoothing prediction combined with multivariate regression. The predictive power of each model was measured based on MAD, MAPE, RMSE and simpleF-test of equal variance.FindingsThe forecasting efficiency evaluated by MAD, MAPE, RMSE and simpleF-test of equal variance revealed that the GM(1,1) rolling model displays promise for use in forecasting educational attainment.Research limitations/implicationsSince the possible inadequacy of MAD, MAPE, RMSE andF-type test of equal variance was documented in the literature, further large-scale forecasting comparison studies may be done to test the prediction powers of grey prediction and its competing out-of-sample forecasts by other alternative measures of accuracy.Practical implicationsThe findings of this study would be useful for NCES and professional forecasters who are expected to provide government authorities and education policy makers with accurate information for planning future policy directions and optimizing decision-making.Originality/valueAs a continuing effort to evaluate the forecasting efficiency of grey prediction models, the present study provided accumulated evidence for the predictive power of grey prediction on short-term forecasts of educational statistics.
Broad-spectrum analysis on some special systems
Authors: Wang Xiaogang 
Published: December 2016

Purpose
In daily life, some special systems are difficult to handle, such as indistinct systems (the reverse of explicit systems), history systems, future systems, infinite systems, etc. It is one of the more important topics of broad-spectrum philosophy to give these systems observo-controllable and -manipulatable forms from the angle of epistemology and methodology. The paper aims to discuss these issues.

Design/methodology/approach
The author conducted a broad-spectrum analysis of some typical mechanisms of general object systems and general cognition systems through a generalized quantification method and a dynamic structure method.

Findings
Through generalized quantification and dynamic structure methods, the author can draw some new conclusions about these special systems: for example, the indistinct system has certain relations and structures, but these relations and structures cannot be observo-controlled directly under certain conditions; further, the indistinct system and explicit system are interdependent, and therefore people can transform an indistinct system into an explicit one.

Originality/value
Through the study of special systems, the author may find a new perspective and research topic for broad-spectrum philosophy, which may provide a new concept and study frame for future analysis of these special systems.
Resource scheduling in a private cloud environment: an efficiency priority perspective
Authors: Chu Junfei , Wu Jie , Zhu Qingyuan , Sun Jiasen 
Published: December 2016

Purpose
Resource scheduling is the study of how to effectively measure, evaluate, analyze, and dispatch resources in order to meet the demands of corresponding tasks. Aiming at the problem of resource scheduling in the private cloud environment, the purpose of this paper is to propose a resource scheduling approach from an efficiency priority point of view.

Design/methodology/approach
To measure the computational efficiencies for the resource nodes in a private cloud environment, the data envelopment analysis (DEA) approach is incorporated and a suitable DEA model is proposed. Then, based on the efficiency scores calculated by the proposed DEA model for the resource nodes, the 0-1 programming technique is introduced to build a simple resource scheduling model.

Findings
The proposed DEA model not only has the ability of ranking all the decision-making units into different positions but also can handle non-discretionary inputs and undesirable outputs when evaluating the resource nodes. Furthermore, the resource scheduling model can generate for the calculation tasks an optimal resource scheduling scheme that has the highest total computational efficiency.

Research limitations/implications
The proposed method may also be used in studies of resource scheduling studies in the environments of public clouds and hybrid clouds.

Practical implications
The proposed approach can achieve the goal of resource scheduling in private cloud computing platforms by attaining the highest total computational efficiency, which is very significant in practice.

Originality/value
This paper uses an efficiency priority point of view to solve the problem of resource scheduling in private cloud environments.
Behavioral biases on institutional investors: a literature review
Authors: Aren Selim , Aydemir Sibel Dinç , Şehitoğlu Yasin 
Published: December 2016

Purpose
The purpose of this paper is to evaluate published institutional investor research focused on home bias, disposition effect, and herding behavior in recognized journals and to ascertain some substantial gaps with regard to them.

Design/methodology/approach
Recently published studies between 2005 and 2014, which intend to examine behavioral biases on institutional investors, have been reviewed through juxtaposing them under the three fundamental titles and figuring them according to the explanation why these biases occurs.

Findings
The research examining home bias has identified the presence of this effect on institutional investors and explained it with information or culture. Yet, the existence of disposition effect has not been found in the extant research. These studies have estimated disposition effect through overconfidence and experience. Also, extant studies have provided evidence of herding behavior, attributing this behavior to pursuing same published information and protecting their reputation and career.

Originality/value
Currently, no study, which reviews and evaluates the empirical research body on behavioral biases displayed institutional investors, exists. To the authors’ knowledge, this is the first paper which highlights the empirical evidence on these bias and summarizes the explanations in these studies for these biases exhibited by institutional investors. This could contribute to the researchers focusing on behavioral biases on institutional investors by providing them with a meaningful figuralization regarding their evidence and explanation.
Research on the competitive dynamics and structured context analysis
Authors: Pei Wen , Li Jeng-Huan 
Published: December 2016

PurposeThe credit card business has been one of the key businesses for banks in Taiwan. The purpose of this paper is to use competitive dynamics and structured context analysis (SCA) to explore the competition relationships among market, resources, and strategies concerning the credit card issued banks in Taiwan.Design/methodology/approachThe market commonality and resource similarity analysis of competitive dynamics in the first stage obtained the competitive mapping of four major credit card issue banks, as well as the differences of competition strategy. In the second stage, 1,968 pieces of data on credit card news from 2013 to 2014 were collected. SCA was used to analyze the competitive action, competitive response, number of responses, response lag, and response order.FindingsThe competitor mapping and four hypothesis obtained from competitive dynamics correspond to the credit card competition strategy, as obtained from SCA.Originality/valueThis research combined competitive dynamics and SCA to analyze the credit cards market in Taiwan. The research model could be used in the other financial market.
Cooperation strategies for e-commerce platforms with seller classification
Authors: Ji Ya’nan , Xu Xiaoyan , Sun Yanhong 
Published: December 2016

Purpose
The purpose of this paper is to study the cooperation and pricing strategies for e-commerce platforms when considering seller classification.

Design/methodology/approach
E-commerce platforms serve to facilitate trade and generate revenue from the participants. By classifying the sellers in the market into two types (the individual sellers vs the professional sellers), the authors examine how the interaction between the two types of sellers affects the platform’s cooperation and pricing decisions. Specifically, the authors compare two cooperation strategies for the platform: cooperating only with the professional sellers (strategy I); and cooperating with both the two types of sellers (strategy II).

Findings
When the platform attractiveness for the professional sellers is high enough, strategy II is absolutely beneficial than strategy I; whereas when the platform attractiveness for the professional sellers is low and the performance requirement of the individual sellers is relatively high, strategy I will be more beneficial.

Practical implications
For a platform choosing strategy II, it should make effort to differentiate between the different types of sellers by the product or service quality.

Originality/value
The paper is among the first to study the cooperation and pricing strategies for the e-commerce platform with seller classification.
Sound absorption characterization of aluminum foam made by press infiltration casting
Authors: Sun J.X. , Duan C.Y. , Liu P.S. 
Published: December 2016

Purpose
The purpose of this paper is to investigate the sound absorption by modeling for the aluminum foam produced by press infiltration casting.

Design/methodology/approach
First use Johnson-Allard-Champoux (JAC) model to calculate the sound absorption coefficient of the present aluminum foam, and then improve it after finding its deviation from the experimental data, so as to get an improved model that could have a good agreement with the experimental result.

Findings
Using JAC model to calculate the sound absorption coefficient of the present aluminum foam, it is found that the model may have a good agreement with the experimental data only for the sound wave frequency below the absorption peak frequency, but a large deviation from the experimental result for the sound wave frequency above this frequency.

Originality/value
Improving JAC model by means of two factors, i.e., the absorption peak frequency and the specific surface area, the resultant improved model could be in good agreement with the experimental data.
An organizational economics approach on the pursuit of socioemotional and financial wealth in family firms
Authors: Kabbach de Castro Luiz Ricardo , Crespi-Cladera Rafel , Aguilera Ruth V. 
Published: December 2016

Purpose
The purpose of this study is to analyze the contribution of the paper by Martin and Gomez-Mejia and propose complementary approaches and ways to test their hypotheses.

Design/methodology/approach
This study compares different theoretical approaches that complement socioemotional wealth to explain manager’s decisions and firm performance.

Findings
The authors of this study argue that progress could be achieved by combining Martin and Gomez-Mejia’s propositions with elements of existing organizational theories that are grounded on economics such as the resource-based view, transactional cost and property rights.

Originality/value
This study provides a new perspective of the work of Martin and Gomez-Mejia published in this issue.