bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knockdown of PTOV1 and PIN1 Exhibit Common Phenotypic Anti-Cancer Effects in MDA-MB-231 Cells
Authors: Karna Shibendra Kumar Lal , Ahmad Faiz , Lone Bilal Ahmad , Pokharel Yuba Raj 
Published: January 2019

AbstractBackgroundEarlier, we have identified PTOV1 as a novel interactome of PIN1 in PC-3 cells. This study aims to explore the functional similarity and the common role of both genes in breast cancer cell proliferation.MethodsCTG, crystal violet assay, clonogenic assay, wound healing assay, cell cycle analysis, Hoechst staining and ROS measurement were performed to assess cell viability were performed after knocking down of PTOV1 and PIN1 by siRNAs in MDA-MB-231 and MCF-7 cells. CO-IP, qPCR and western blot were performed for interaction, transcriptional and translational regulation of both genes.ResultsKnockdown of PTOV1 and PIN1 inhibited the cell proliferation, colony formation, migration cell cycle, and induces nuclear condensation as well as ROS production. Interaction of PTOV1 and PIN1 was validated by Co-IP in MDA-MB-231 cells. Genes involved in cell proliferation, migration, cell cycle, and apoptosis were regulated by PIN1 and PTOV1. PTOV1 knockdown inhibited Bcl-2, Bcl-xL and induces BAX, LC3 and Beclin-1. Overexpression of PIN1 increased the expression of PTOV1. Knockdown of both genes inhibited the expression of cyclin D1, c-Myc, and β-catenin.ConclusionsPTOV1 and PIN1 interacts and exert oncogenic role in MDA-MB-231 cells by sharing the similar expression profile at transcriptional and translational level which can be a promising hub for therapeutic target.
DSNetwork: An integrative approach to visualize predictions of variants’ deleteriousness
Authors: Lemaçon Audrey , Scott-Boyer Marie-Pier , Soucy Penny , Ongaro-Carcy Régis , Simard Jacques , Droit Arnaud 
Published: January 2019

AbstractOne of the most challenging tasks of the post-genome-wide association studies (GWAS) research era is the identification of functional variants among those associated with a trait for an observed GWAS signal. Several methods have been developed to evaluate the potential functional implications of genetic variants. Each of these tools has its own scoring system which forces users to become acquainted with each approach to interpret their results. From an awareness of the amount of work needed to analyze and integrate results for a single locus, we proposed a flexible and versatile approach designed to help the prioritization of variants by aggregating the predictions of their potential functional implications. This approach has been made available through a web interface called DSNetwork which acts as a single-point of entry to almost 60 reference predictors for both coding and non-coding variants and displays predictions in an easy-to-interpret visualization. We confirmed the usefulness of our methodology by successfully identifying functional variants in four breast cancer susceptibility loci. DSNetwork is an integrative web application implemented through the Shiny framework and available at: http://romix.genome.ulaval.ca/dsnetwork.Author summaryOver the past years, GWAS have enabled the identification of numerous susceptibility loci associated with complex traits (https://www.ebi.ac.uk/gwas/). However, many of those signals contain hundreds or even thousands of significantly associated variants among which only a few are really responsible of the phenotype. Substantial efforts have been made in the development of prediction methods to prioritize variants within GWAS-associated regions to go from statistical associations, to the identification of functional variants modulating gene expression, in order to ultimately gain insight into disease pathophysiology. Unfortunately, these numerous prediction tools generate contradictory predictions rendering the interpretation of results challenging. Some tools such as VEP [McLaren et al., 2016] report their scores using a color scheme, thus acknowledging the need to assist the user in the interpretation of predictor results. Nonetheless, the multiplication of approaches can often result in an extensive amount of data that is hard to synthesize. Aware of the challenge of evaluating the potential deleteriousness of variants in the context of fine mapping analyses, we created a customizable visualization approach that was implemented it in the decision support tool called DSNetwork for Decision Support Network. This tool enables quick access to gold standard and new predictors for both coding and non-coding variants through an easily interpretable visualization of these predictions for a set of variants.
Prioritization of multi-dimensional risk for digital services using the generalized analytic network process
Authors: Mustafa Syed Ziaul , Kar Arpan Kumar 
Published: January 2019

PurposeIn current times, organizations operating in emerging economies are providing digital services to its citizen the internet. Literature indicates that digital services are facing major challenges with respect to its adoption among users groups due to the perceived risks.Design/methodology/approachWith the use of generalized analytic network process (GANP), prioritization of different dimensions of risk has been done on the basis of an empirical survey among user groups in India.FindingsThe result indicates that dimensions like privacy risk, performance risk and financial risk are more important risks across digital services models. However, physical risk, social risk, psychological risk and time risk are comparatively less important risks across digital services. This research also finds out that the end users are reluctant to provide their personal information.Research limitations/implicationsThe sample size is relatively small which limits generalizability of results beyond India. However, an application of GANP has been showcased for empirical research.Practical implicationsThe research outcome can help managers in deciding which dimensions of risk are more important for digital service delivery and thus facilitate adoption.Originality/valueThis paper focused on the different facets of risk perceived by consumers, toward the digital services available in smart cities. Perceived risk dimensions such as privacy risk, performance risk, financial risk, physical risk, social risk, psychological risk and time risk have shown that there is a need to prioritize these risks to the digital services which is offered to the residents of the smart cities.
A background cell-based numerical integration for B-spline wavelet on the interval finite element method
Authors: Vadlamani Shashank , C.O. Arun 
Published: January 2019

Purpose
The purpose of this paper is to discuss about evaluating the integrals involving B-spline wavelet on the interval (BSWI), in wavelet finite element formulations, using Gauss Quadrature.

Design/methodology/approach
In the proposed scheme, background cells are placed over each BSWI element and Gauss quadrature rule is defined for each of these cells. The nodal discretization used for BSWI WFEM element is independent to the selection of number of background cells used for the integration process. During the analysis, background cells of various lengths are used for evaluating the integrals for various combination of order and resolution of BSWI scaling functions. Numerical examples based on one-dimensional (1D) and two-dimensional (2D) plane elasto-statics are solved. Problems on beams based on Euler Bernoulli and Timoshenko beam theory under different boundary conditions are also examined. The condition number and sparseness of the formulated stiffness matrices are analyzed.

Findings
It is found that to form a well-conditioned stiffness matrix, the support domain of every wavelet scaling function should possess sufficient number of integration points. The results are analyzed and validated against the existing analytical solutions. Numerical examples demonstrate that the accuracy of displacements and stresses is dependent on the size of the background cell and number of Gauss points considered per background cell during the analysis.

Originality/value
The current paper gives the details on implementation of Gauss Quadrature scheme, using a background cell-based approach, for evaluating the integrals involved in BSWI-based wavelet finite element method, which is missing in the existing literature.
The ambiguity dilemma in procurement projects
Authors: Asadabadi Mehdi Rajabi , Sharpe Keiran 
Published: January 2019

PurposeThe purpose of this paper is to use game theory and ambiguity theory to show how “economically rational” vendors will behave in a procurement process that runs over more than one period. In light of that behavior, we have proposed “economically rational” counter-strategies on the part of purchasers.Design/methodology/approachBased on a perception–expectation framework, a unique game-based approach is designed. The authors have proposed “economically rational” counter-strategies on the part of purchasers, which are premised on the theory of rational agency.FindingsAmbiguity in the procurement process is a bane for procuring principals and a boon for suppliers – for the former, it is an issue to be managed, and for the latter it provides an opportunity to extract “insurance rents” from the principals. The authors show that, under certain conditions, the contracting principal can be exploited by a rational, rent-extracting vendor. In particular, they show that there is an incentive for a vendor to delay the resolution of ambiguities in the contract until late in the procurement process, when the insurance rents are at a maximum.Originality/valueThis study contributes to the current literature by highlighting an existing problem in the procurement process and describing it using decision theory under ambiguity in a game-like setting. Specifically, the authors use game theory in a unique way to deal with imperfect information coupled with ambiguity.
Study of mixed materials heat exchanger using optimization techniques
Authors: Karimi Habib , Danesh Ashtiani Hossein Ahmadi , Aghanajafi Cyrus 
Published: January 2019

Purpose
This paper aims to examine total annual cost from economic view mixed materials heat exchangers based on three optimization algorithms. This study compares the use of three optimization algorithms in the design of economic optimization shell and tube mixed material heat exchangers.

Design/methodology/approach
A shell and tube mixed materials heat exchanger optimization design approach is expanded based on the total annual cost measured by dividing the costs of the heat exchanger to area of surface and power consumption. In this study, optimization and minimization of the total annual cost is considered as the objective function. There are three types of exchangers: cheap, expensive and mixed. Mixed materials are used in corrosive flows in the heat exchanger network. The present study explores the use of three optimization techniques, namely, hybrid genetic-particle swarm optimization, shuffled frog leaping algorithm techniques and ant colony optimization.

Findings
There are three parameters as decision variables such as tube outer diameter, shell diameter and central baffle spacing considered for optimization. Results have been compared with the findings of previous studies to demonstrate the accuracy of algorithms.

Originality/value
The present study explores the use of three optimization techniques, namely, hybrid genetic-particle swarm optimization, shuffled frog leaping algorithm techniques and ant colony optimization. This study has demonstrated successful application of each technique for the optimal design of a mixed material shell and tube heat exchanger from the economic view point.
Tablet-based intervention to foster music-related hand responses and positive engagement in people with advanced Alzheimer’s disease
Authors: Lancioni Giulio , Singh Nirbhay , O’Reilly Mark , Sigafoos Jeff , D’Amico Fiora , Laporta Dominga , Scordamaglia Antonella , Pinto Katia 
Published: January 2019

PurposeMusic stimulation is considered beneficial for people with advanced Alzheimer’s disease. The purpose of this paper is to assess a tablet-based program to promote music-related hand responses and positive engagement (e.g. singing or moving the body with the music) in people with advanced Alzheimer’s disease.Design/methodology/approachThe program was implemented with 20 participants according to a non-concurrent multiple baseline design across participants. The participants were provided with a tablet whose screen worked as a sensor. During the intervention, sensor activations by hand responses led the tablet to present 10 s segments of preferred songs; an absence of sensor activation led the tablet to produce a prompt.FindingsThe participants’ mean frequencies of hand responses (i.e. sensor activations) per 5 min session increased from mostly zero during baseline to between about 9 and 20 during the intervention. The mean percentages of observation intervals with participants’ positive engagement increased from 0 to 12 during the baseline to between 13 and 55 during the intervention. The differences between baseline and intervention data were statistically significant for all participants.Originality/valueA tablet-based program, such as that used in this study, may help people with advanced Alzheimer’s disease develop specific music-related responses and positive engagement.
Transformational leadership and knowledge sharing behavior in freelancers
Authors: Yadav Mohit , Choudhary Sangita , Jain Shubhi 
Published: January 2019

PurposeThe purpose of this study is to explore the relationship between transformational leadership and knowledge sharing behavior in freelancers. Also, the study focuses upon mediation of the relationship by employee engagement and moderation by social support.Design/methodology/approachConfirmatory factor analysis was used to find validity and reliability of the model under study. To study the relation between variables, the Pearson correlation was used. Further, the PROCESS macro of Hayes (2013) was used to test mediation and moderated mediation.FindingsTransformational leadership influenced knowledge collecting and knowledge donating behavior in freelancers. The relation was mediated by employee engagement. Social support was found to moderate the mediated path by employee engagement between transformational leadership and knowledge collecting behavior. A similar result was found for knowledge donating behavior as a dependent variable.Research limitations/implicationsThe model under study can be tested in other contexts with extended data.Practical implicationsThe study asserts importance on freelancers in knowledge sharing in client organizations; leaders should take a transformational role to create a culture of free flow of knowledge and information between various types of employees.Originality/valueThis study is the first to research how transformational leadership, through engagement, motivates freelancers in engaging in knowledge collecting and knowledge donating. The importance of social support is also noted.
Influential factors on medical equipment maintenance management
Authors: Bahreini Rona , Doshmangir Leila , Imani Ali 
Published: January 2019

PurposeEffective maintenance management of medical equipment is one of the major issues for quality of care and cost-effectiveness especially in modern hospitals. An effective medical equipment maintenance management (MEMM) consists of adequate planning, management and implementation. This is essential for providing good health services and saving scarce resources. Considering the importance of the subject, the purpose of this paper is to extract the influential factors on MEMM using a qualitative approach.Design/methodology/approachDocuments review and interviews were main methods for data collection. Semi structured interviews were conducted with a purposive sample of 14 clinical engineers with different degree of education and job levels. Interviews were voice recorded and transcribed verbatim. Qualitative data were analyzed using a content analysis approach (inductive and deductive) to identify the underlying themes and sub-themes.FindingsFactors influencing an effective and efficient MEMM system categorized in seven themes and 19 sub-themes emerged. The themes included: “resources,” “quality control,” “information bank,” “education,” “service,” “inspection and preventive maintenance” and “design and implementation.”Originality/valueThe proposed framework provides a basis for a comprehensive and accurate assessment of medical equipment maintenance. The findings of this study could be used to improve the profitability of healthcare facilities and the reliability of medical equipment.
An analysis of the impact of a leadership intervention on an undergraduate work-based learning project for human resource management students
Authors: Gerhardt Trevor 
Published: January 2019

Purpose
The purpose of this paper is to analyse the impact of an action research intervention during a work-based learning (WBL) project among human resource management (HRM) students at a business college in London. The intervention was the researcher’s meeting with the nominated group leaders to facilitate reflection on their leadership and instil confidence.

Design/methodology/approach
This paper is based on an action research leadership intervention on a broader undergraduate WBL module taught across nine disciplines and numerous projects. The action learning involved the phases of action, reflection, learning and planning. The sample was five group leaders on one of the projects for HRM students. A content analysis of their assessment submissions was included in the reflection, learning and planning phases.

Findings
Based on a content analysis, most of the group leaders acknowledged the leadership intervention in their submissions in varying degrees of quantity and quality. The findings reflect the impact of the intervention upon leadership confidence and the application of theory on practice. Specific leadership input would enhance the impact. The intervention did address confidence which impacted self-directed learning.

Research limitations/implications
The research is limited to a specific context and small sample. It is limited by the fact that reflective assessment work could not be used in comparison with the project assessment submissions.

Practical implications
The research demonstrates directly from the assessed submissions of students the benefit of WBL with a specific focus on confidence, leadership, reflection and self-directed learning. It demonstrates as an example the application of action research on a small WBL sample.

Social implications
The research is the evidence of the importance of leadership and confidence among mature adults in WBL contexts.

Originality/value
This paper demonstrates the impact of WBL on the learning of mature adults and, furthermore, the impact of a leadership intervention on the motivation of students for self-directed learning.
Inferring longitudinal hierarchies: Framework and methods for studying the dynamics of dominance
Authors: Strauss Eli D. , Holekamp Kay E. 
Published: January 2019

Abstract

Social inequality is a consistent feature of animal societies, often manifesting as dominance hierarchies, in which each individual is characterized by a dominance rank denoting its place in the network of competitive relationships among group members. Most studies treat dominance hierarchies as static entities despite their true longitudinal, and sometimes highly dynamic, nature.

To guide study of the dynamics of dominance, we propose the concept of a longitudinal hierarchy: the characterization of a single, latent hierarchy and its dynamics over time. Longitudinal hierarchies describe the hierarchy position (r) and dynamics (∆) associated with each individual as a property of its interaction data, the periods into which these data are divided based on a period delineation rule (p) and the method chosen to infer the hierarchy. Hierarchy dynamics result from both active (∆a) and passive (∆p) processes. Methods that infer longitudinal hierarchies should optimize accuracy of rank dynamics as well as of the rank orders themselves, but no studies have yet evaluated the accuracy with which different methods infer hierarchy dynamics.

We modify three popular ranking approaches to make them better suited for inferring longitudinal hierarchies. Our three “informed” methods assign ranks that are informed by data from the prior period rather than calculating ranks de novo in each observation period and use prior knowledge of dominance correlates to inform placement of new individuals in the hierarchy. These methods are provided in an R package.

Using both a simulated dataset and a long‐term empirical dataset from a species with two distinct sex‐based dominance structures, we compare the performance of these methods and their unmodified counterparts. We show that choice of method has dramatic impacts on inference of hierarchy dynamics via differences in estimates of ∆a. Methods that calculate ranks de novo in each period overestimate hierarchy dynamics, but incorporation of prior information leads to more accurately inferred ∆a. Of the modified methods, Informed MatReorder infers the most conservative estimates of hierarchy dynamics and Informed Elo infers the most dynamic hierarchies.

This work provides crucially needed conceptual framing and methodological validation for studying social dominance and its dynamics.
Oncological results and recurrent risk factors following abdominal radical trachelectomy: an updated series of 333 patients
Authors: Li X , Li J , Jiang Z , Xia L , Ju X , Chen X , Wu X 
Published: January 2019

ObjectiveTo update the oncological results and identify recurrent risk factors in young patients with early stage cervical cancers following abdominal radical trachelectomy (ART).DesignRetrospective study.SettingA university‐based cancer hospital.PopulationThree hundred and thirty‐three patients.MethodsWe conducted a retrospective analysis from a prospectively maintained database of patients undergoing ART from April 2004 to December 2017.Main outcome measuresSurvival rate, clinicopathological factors related to recurrences.ResultsTwo hundred and seventy‐one patients had squamous carcinomas (SCC), 51 had pure adenocarcinomas (AC), and 11 had adenosquamous carcinomas (AS). One hundred thirty‐two women (39.6%) had tumours ≥2 cm. With a median follow up of 56 months (range, 6–169), 11 patients (3.3%) had recurrence, and five patients (1.5%) died. The cumulative 5‐year recurrence‐free survival and overall survival rates were 96.3 and 98.6%, respectively. The recurrence rate in women with tumours ≥2 cm was comparable to that in patients with tumours <2 cm (5.3 versus 2.0%, respectively, P = NS). However, the recurrence rate was significantly higher in patients with AS histology than those with AC and SCC histology (18.2, 3.9, and 2.6%, respectively, P < 0.05). All of the recurrent patients with AS histology had tumours ≥2 cm. Multivariate analysis showed that the only independent risk factor for recurrence was histology type.ConclusionsThis updated series showed a favourable survival rate following ART. These results further supported that ART was a safe option for well‐selected patients with stage IB1 cervical cancers ≥2 cm. However, if patients with tumours ≥2 cm have AS histology, they should be advised with great caution when contemplating ART.Tweetable abstractAbdominal radical trachelectomy could be a safe, fertility‐sparing option for strictly selected patients with stage IA1–IB1 cervical cancers ≤4 cm.