bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in opioid prescribing in low back pain patients with and without depression: a cross-sectional study of a national sample from the United States
Authors: Smith Joyce A. , Fuino Robert L. , Pesis-Katz Irena , Cai Xueya , Powers Bethel , Frazer Maria , Markman John D. 
Published: June 2017

AbstractIntroduction:Low back pain (LBP) is among the leading indications for the prescription of opioid analgesics in clinical practice. There is increasing evidence suggesting that these agents may have diminished efficacy in the treatment of LBP.Objectives:We evaluated the relationship between depression, the probability of receiving an opioid prescription, and the amount of morphine equivalent amounts prescribed per year among patients with LBP using nationwide data.Methods:A cross-sectional analysis was performed on existing data from the Medical Expenditure Panel Survey data set from the period 2004 to 2009. Demographic, medical condition, Patient Health Questionnaire-2 responses, and prescription drug information were obtained on 56,811,864 weighted person-years of data from individuals aged 18 to 65 with anICD-9code specific to LBP.Results:Increases in PHQ-2 score, as well a positive screen for depression, were associated with an increased probability of being prescribed opioid therapy and more morphine equivalents per year.Conclusion:Analysis of a nationwide sample of patients with LBP shows an association between depression and higher rates of opioid prescribing after controlling for several known cofounders. Clinicians prescribing opioids in LBP populations that rely on clinical trial results that exclude depressed patients may misjudge the risks and benefits of this class of therapy.
Directin vivomapping of functional suppressors in glioblastoma genome
Authors: Chow Ryan D. , Guzman Christopher D. , Wang Guangchuan , Schmidt Florian , Youngblood Mark W. , Ye Lupeng , Errami Youssef , Dong Matthew B. , Martinez Michael A. , Zhang Sensen , Renauer Paul , Bilguvar Kaya , Gunel Murat , Sharp Phillip A. , Zhang Feng , Platt Randall J. , Chen Sidi 
Published: June 2017

AbstractGlioblastoma (GBM) is one of the deadliest cancers, with limited effective treatments and single-digit five-year survival1-7. A causative understanding of genetic factors that regulate GBM formation is of central importance8-19. However, a global, quantitative and functional understanding of gliomagenesis in the native brain environment has been lacking due to multiple challenges. Here, we developed an adeno-associated virus (AAV) mediated autochthonous CRISPR screen and directly mapped functional suppressors in the GBM genome. Stereotaxic delivery of an AAV library targeting significantly mutated genes into fully immunocompetent conditional Cas9 mice robustly led to gliomagenesis, resulting in tumors that recapitulate features of human GBM. Targeted capture sequencing revealed deep mutational profiles with diverse patterns across mice, uncoveringin vivoroles of previously uncharacterized factors in GBM such as immune regulatorB2m,zinc finger proteinZc3h13,transcription repressorCic,epigenetic regulatorsMll2/3andArid1b,alongside canonical tumor suppressorsNf1andPten. Comparative cancer genomics showed that the mutation frequencies across all genes tested in mice significantly correlate with those in human from two independent patient cohorts. Co-mutation analysis identified frequently co-occurring driver combinations, which were validated using AAV minipools, such asMll2, B2m-Nf1,Mll3-Nf1andZc3h13-Rb1. Distinct fromNf1-oncotype tumors,Rb1-oncotype tumors exhibit undifferentiated histopathology phenotype and aberrant activation of developmental reprogramming signatures such asHomeoboxgene clusters. The secondary addition ofZc3h13orPtenmutations drastically altered the gene expression profiles ofRb1mutants and rendered them more resistant to the GBM chemotherapeutic temozolomide. Our study provides a systematic functional landscape of GBM suppressors directlyin vivo, opening new paths for high-throughput molecular mapping and cancer phenotyping.
Pooled AAV-CRISPR Screen with Targeted Amplicon Sequencing
Authors: Wang Guangchuan , Chow Ryan D. , Ye Lupeng , Guzman Christopher D. , Dai Xiaoyun , Dong Matthew B. , Zhang Feng , Sharp Phillip A. , Platt Randall J. , Chen Sidi 
Published: June 2017

AbstractHigh-resolution, high-throughput direct in vivo screening of functional genetic factors in native tissues has long been challenging. Adeno-associated viruses (AAV) are powerful carriers of transgenes and have been shown to mediate efficient genome editing in various organs in mice. Here, we developed a new technological approach,PooledAAV-CRISPRScreen withTargetedAmpliconSequencing (PASTAS), and demonstrated its application for directly mapping functional cancer driver variants in the mouse liver in an autochthonous manner. Intravenous delivery of an AAV-CRISPR library targeting a set of the most frequently mutated tumor suppressor genes into fully immunocompetent conditional Cas9 knock-in mice consistently generated highly complex autochthonous liver tumors. The molecular landscapes of these genetically diverse tumors were mapped out by deep direct readout of Cas9-generated variants at predicted sgRNA cut sites using molecular inversion probe sequencing. Co-occurrence and correlation analyses as well as validation with lower complexity minipools further confirmed the potency of various co-mutated drivers. The PASTAS method can be applied to virtually any gene sets, any cancer types, or any type of in vivo genetic studies other than cancer.
Neural Networks for Efficient Bayesian Decoding of Natural Images from Retinal Neurons
Authors: Parthasarathy Nikhil , Batty Eleanor , Falcon William , Rutten Thomas , Rajpal Mohit , Chichilnisky E.J. , Paninski Liam 
Published: June 2017

AbstractDecoding sensory stimuli from neural signals can be used to reveal how we sense our physical environment, and is valuable for the design of brain-machine interfaces. However, existing linear techniques for neural decoding may not fully reveal or exploit the fidelity of the neural signal. Here we develop a new approximate Bayesian method for decoding natural images from the spiking activity of populations of retinal ganglion cells (RGCs). We sidestep known computational challenges with Bayesian inference by exploiting artificial neural networks developed for computer vision, enabling fast nonlinear decoding that incorporates natural scene statistics implicitly. We use a decoder architecture that first linearly reconstructs an image from RGC spikes, then applies a convolutional autoencoder to enhance the image. The resulting decoder, trained on natural images and simulated neural responses, significantly outperforms linear decoding, as well as simple point-wise nonlinear decoding. These results provide a tool for the assessment and optimization of retinal prosthesis technologies, and reveal that the retina may provide a more accurate representation of the visual scene than previously appreciated.
c-di-GMP-linked phenotypes are modulated by the interaction between a diguanylate cyclase and a polar hub protein
Authors: Nicastro Gianlucca G. , Kaihami Gilberto H. , Pulschen André A. , Hernandez-Montelongo Jacobo , Boechat Ana Laura , de O. Pereira Thays , Stefanello Eliezer , Colepicolo Pio , Bordi Christophe , Baldini Regina L. 
Published: June 2017

Summaryc-di-GMP is a major player in the decision between biofilm and motile lifestyles. Several bacteria present a large number of c-di-GMP metabolizing proteins, thus a fine-tuning of this nucleotide levels may occur. It is hypothesized that some c-di-GMP metabolizing proteins would provide the global c-di-GMP levels inside the cell whereas others would maintain a localized pool, with the resulting c-di-GMP acting at the vicinity of its production. Although attractive, this hypothesis has yet to be proven inPseudomonas aeruginosa.We found that the diguanylate cyclase DgcP interacts with the cytosolic region of FimV, a peptidoglycan-binding protein involved in type IV pilus assembly. Moreover, DgcP is located at the cell poles in wild type cells, but scattered in the cytoplasm of cells lacking FimV. Overexpression of DgcP leads to the classical phenotypes of high c-di-GMP levels (increased biofilm and impaired motilities) in the wild-type strain, but not in aAfimVbackground. Therefore, our findings strongly suggest that DgcP is regulated by FimV and may provide the local c-di-GMP pool that can be sensed by other proteins at the cell pole, bringing to light a specialized function for a specific diguanylate cyclase.
An expected event, but unprecedented damage
Authors: Yeo Jungwon , K. Comfort Louise 
Published: June 2017

PurposeThe purpose of this paper is to focus on the large-scale flood response coordination across sectors and jurisdictions, investigating the characteristics and gaps of the 2011 Thailand flood response operations.Design/methodology/approachThe large-scale flood response coordination was measured as an inter-organizational network. An extensive content analysis of news reports was conducted to identify the participating organizations and relationships among them that emerged during the initial flood response operations. Social network analysis was used to examine the patterns and gaps of coordination among the organizations.FindingsThe research identified three major gaps that might weaken the response coordination. First, the coordination structure was highly fragmented with many isolated actors. Second, the benefit of inter-sector relationships was not well leveraged in the system due to weak reciprocal relationships across sectors. Third, provincial level organizations did not serve as a strong liaison between local actors (cities) and national actors.Practical implicationsBased on the findings, the research offers suggestions to improve the performance of response coordination in recurring flood disasters.Originality/valueThis study is distinctive in its examination of structural characteristics of large-scale, inter-sector and multi-jurisdictional flood response coordination in Thailand. Previous studies have explored how citizens were organized and responded to flood disasters at the local level, and measured indicators or causes of response resilience at the provincial level system. Yet, studies examining the patterns of coordination structure among response organizations across all affected-jurisdictional authorities and sectors have been lacking.
U-District Job Co-op: constructing a future vision for homeless young people and employment
Authors: Hendry David G. , Woelfer Jill Palzkill , Duong Thuy 
Published: June 2017

Purpose
Addressing the question, how might socio-technical systems help homeless young people to succeed broadly in employment, the purpose of this paper is to present a future vision, the U-District Job Co-op, where youth take on “mini-jobs” offered by neighborhood stakeholders.

Design/methodology/approach
Drawing on value sensitive design, design-based, and qualitative research methods, the Job Co-op is explicated by reporting on three linked studies.

Findings
First, based on empirical research with varied neighborhood stakeholders, barriers and possible solutions to employment for homeless young people are presented. Second, three design insights for shaping a solution space of socio-technical systems for job search are presented and used analytically to examine six existing systems. Third, findings from a co-design study in which homeless young people expressed their understandings for web-based job services explicate the vision of the Job Co-op.

Social implications
This study offers a socio-technical approach, grounded in the neighborhood context, for supporting homeless young people in job search and related activities.

Originality/value
The studies reported in this paper demonstrate how methods for information system design can be used to generate and clarify opportunities for human benefit and for the development of socio-technical systems that account for human values.
Enhancing customer brand experience and loyalty through enterprise microblogs
Authors: Yang Jun , Zheng Rui , Zhao Ling , Gupta Sumeet 
Published: June 2017

Purpose
As the social media platform becomes an ever more important communication channel between company and customer, companies are learning how they can best utilize social media to better communicate their brands with customers. The purpose of this paper is to explore the communication tactics adopted by the enterprise microblogs using a communication framework. Further, the authors hope to find out how these communication tactics influence customer brand experience (BE) and subsequently brand loyalty.

Design/methodology/approach
First, to identify the communication tactics used by enterprise microblogs, the authors recruited six active microblog users and listed all possible characteristics of enterprise microblogs that could increase customers’ fondness for the brand. Second, based on the listed 19 characteristics and existing theories, the authors pre-classified and conceptualized the content and style tactics categories. The authors also followed a sorting procedure to verify our classification. Finally, based on the sorted characteristics and previous research, the authors designed a questionnaire and 459 sets of valid data were collected from enterprise microblog users.

Findings
The communication tactics are classified into two dimensions, namely content tactics and style tactics. The content tactics include content diversity, content accuracy and content timeliness, and the style tactics include impression enhancement style and interactivity enhancement style. The results reveal that the communication content and style tactics significantly enhance overall customer BE and further brand loyalty. The study results also show that style tactics exert more influence on BE than content tactics.

Originality/value
This paper highlights the company’s important role in company-customer communication on social media, and categorizes the effective communication tactics used by the enterprise microblog within a communication framework. Companies could build brand loyalty by enhancing users’ BE using effective communication. The communication perspective and measures of the communication tactics in this study provide an ideal background for future research on IT-based company-customer interaction.
Neglecting human resource development in OBOR, a case of the China–Pakistan economic corridor (CPEC)
Authors: Ahmed Adeel , Arshad Mohd Anuar , Mahmood Arshad , Akhtar Sohail 
Published: June 2017

Purpose
The purpose of this paper is to obtain greater insights into the implications for human resource development (HRD) in times of economic development, with a focus on China–Pakistan economic corridor (CPEC). In recent times of economic development, a number of economic corridors have emerged globally as tools of regional cooperation and development. In the context of Pakistan, there is a lack of appropriate attention to the field of HRD, which has suffered neglect through the decades (Abbasi and Burdey, 2008; Asrar-ul-Haq, 2015). With this conception, the present economic interventions merit a well-constructed and proper HRD policy for Pakistan. This study will provide HRD insights for policymakers, researchers, entrepreneurs and business executives.

Design/methodology/approach
The research approach of this study is purely based on literature review and on secondary data.

Findings
Based on the facts and literature reviews, this study concluded that One belt, One Road in general and CPEC in particular as an economic corridor can bring sustainable and long-lasting impact on the economy only if HRD is given proper attention.

Originality/value
To the best knowledge of the researchers, this is the first study that highlighted the HRD issue in CPEC.
Exploring suitability of cloud computing for small and medium-sized enterprises in India
Authors: Kumar Devesh , Samalia Harsh Vardhan , Verma Piyush 
Published: June 2017

Purpose
The purpose of this paper is to evaluate the suitability of cloud computing for small and medium-sized enterprises (SMEs) in India.

Design/methodology/approach
Literature review is used to identify benefits, challenges, and factors concerning usage and adoption of cloud computing by SMEs. A conceptual framework was developed based on the existing theoretical models and factors identified from the literature. A survey based on questionnaire method was followed to collect data from 121 manufacturing SMEs in India. The conceptual framework was refined by using factor analysis, and multiple regression analysis was used to test the hypotheses.

Findings
Major benefits of cloud computing for SMEs include cost advantage, easy deployment process, easier access to latest information and communication technologies, automatic updates and upgrades, scalability, flexibility, and improved disaster recovery and back-up capabilities. The concern area includes perceived loss of control, vendor lock-in, security issues, reliability and availability issues, and internet connectivity and speed. The factors that are found significant include perceived benefits, top management support, competitive pressure, and perceived concerns. The model explained 73 percent of cloud computing adoption.

Research limitations/implications
The study is expected to make significant contribution toward body of knowledge pertaining to information technology adoption in SMEs.

Practical implications
The study is expected to provide SMEs an insight into real benefits and challenges associated with adopting cloud computing. The model can help SMEs in evaluating their readiness for adopting cloud computing and can ensure successful outcome of cloud computing adoption in SMEs. Providers are also going to be benefited through their enhanced understanding of SMEs’ requirements.

Originality/value
The proposed framework incorporates all the relevant factors including perceived benefits, perceived concerns, and other organizational and environmental factors to improve model’s predictive power.
Exploring the role of employee voice between high-performance work system and organizational innovation in small and medium enterprises
Authors: Rasheed Muhammad Athar , Shahzad Khuram , Conroy Christopher , Nadeem Sajid , Siddique Muhammad Usman 
Published: June 2017

PurposeEmployee voice has emerged as a strong predictor of positive organizational outcomes. Grounding the theoretical model in resource-based theory; this study conceptualizes how high-performance work system (HPWS) can enhance organizational innovation of small and medium enterprises (SMEs) through voice behaviors. Specifically, the purpose of this paper is to empirically test if employee voice mediates the relationship between HPWS and organizational innovation.Design/methodology/approachThis study used a quantitative strategy and cross-sectional survey method for the collection of data from SMEs operating in Pakistan. A list of SMEs was obtained from the federal government organization responsible for the development of SMEs in Pakistan. A self-administered structured questionnaire was distributed and 239 randomly selected SMEs responded to the survey.FindingsFindings confirmed the conceptualized model and revealed that HPWS was significantly and positively related to employee voice and organizational innovation. Employee voice was found as a significant predictor of organizational innovation and mediating factor in the relationship between HPWS and organizational innovation.Research limitations/implicationsThis study is limited in terms of variables included in the conceptual model and relatively small size of the sample that was derived from a single federal organization. More variables and SMEs can be included in future studies to get broader results and, potentially, better findings.Practical implicationsSME managers/owners can design HR function in such a way that employees will be encouraged to raise their voice and participate more in the organization. Scholars should study voice behaviors distinct from citizenship behaviors.Originality/valueThis study is the first of its kind to conceptualize the relationship between HPWS, employee voice, and organizational innovation in SMEs of Pakistan.
Enterprise systems, business process management and UK-management accounting practices
Authors: Ammar Sameh 
Published: June 2017

PurposeThis paper aims to address the extant and arguable role of enterprise systems (ES) in relation to management accounting practices (MAPs) through an inclusion relative neglect account of business process management (BPM). This is also extended to draw out an analytical framework to advance our understanding of how BPM mediate ES-MAPs interplay.Design/methodology/approachA cross-sectional case study was adopted as a research strategy with which to collect data about the ES-BPM-MAPs interplay as a unit of analysis. The latter, in the first stage, was examined across (89) mini-case studies operating in the UK context through reports and documentations collected from cases’ websites, vendors and consultants of information systems. Drawn insights from cross-sectional analysis and contributions made by prior studies are blended together to inform the second stage that outlines an analytical framework for ES-BPM-MAPs interplay.FindingsDifferent ES are mobilised to address different orientations of BPMs and being used for different managerial functions and purposes. Different patterns of ES-BPM-MAPs interplay are identified across (89) UK-case studies and the BPM is a fulcrum understanding. These patterns are centred around three key BPM including customer, logistics and control processes and all oriented by a continuum of an organisation intention focus on control, understanding and strategising. Both processes and orientations explain ES development and MAPs evolution processes. Standardisation, integration and intelligence are key characteristics sought through ES mobilisations. By complementary, information provision, analytics and simulation are three sophisticated ways of using MA information facilitated by ES characteristics.Research limitations/implicationsDynamic processes of MAPs change over time and are beyond the reach of this study. Such approach requires full access to case studies. BPM is fulcrum understanding of MAPs change and/or stability in relation to ES implementation including other components.Practical implicationsFindings and analytical framework could be used as a base for establishing the best approach in adopting ES to fully exploit the potential of future ES applications as well as to avoid organisations pitfalls of implementations. Organisations are advised to understand their existing business processes, characteristics of MA information would be achieved first upon which decision of ES components selection and implementation could be outlined.Originality/valueThe indirect interplay between ES and MAPs through business processes is rarely examined. By the inclusion of BPM and using cross-sectional case studies, this research contributes to the existing shortcomings of ES-MAPs interplay by broadening the picture and proposing an analytical framework. The latter advances our understanding by focusing on attributes of ES-BPM-MAPs upon which informal changes in-the use of MAPs are recognised.