bluuebunny/crossref_metadata_2025_split huggingface dataset:
Influence of knowledge transfer on SNS community cohesiveness
Authors: Kim Changsu , Kang Minghui , Wang Tao 
Published: November 2016

Purpose
The purpose of this paper is to examine whether social networking site (SNS) communities benefit from collective knowledge and collaboration, which represent a portfolio of knowledge transfer on SNSs.

Design/methodology/approach
A survey was conducted on a large scale through an online questionnaire. Structural equation modeling was employed to analyze data collected from 674 experienced SNS users.

Findings
The results indicate that all three exogenous variables, presented as user characteristics and integrated into SNS user characteristics, were positively related to the knowledge transfer portfolio, namely, to collective knowledge and collaboration, and these variables had significant moderating effects on SNS users’ community cohesiveness. Early SNS adoption was more likely than late SNS adoption to moderate the relationship between collective knowledge and community cohesiveness and that between collective collaboration and community cohesiveness.

Practical implications
The findings provide useful insights for SNS operators to enhance the process of collaborative knowledge transfer. They may also be used to obtain better insights into important factors that require closer attention during SNS use.

Originality/value
The present study provides a systematic analysis of SNS use by considering a new research model and investigating the effects of SNS-based knowledge transfer on user outcomes based on three major characteristics of SNS users. The results are expected to provide a major foundation for further SNS research and a better understanding of the relationships between SNS user characteristics, knowledge transfer, and community cohesiveness.
A user’s personality prediction approach by mining network interaction behaviors on Facebook
Authors: Chen Tsung-Yi , Tsai Meng-Che , Chen Yuh-Min 
Published: November 2016

Purpose
For an enterprise, it is essential to win as many customers as possible. The key to successfully winning customers is often determined by understanding the personality characteristics of the object of communication in order to employ an effective communication strategy. An enterprise needs to obtain the personality information of target or potential customers. However, the traditional method for personality evaluation is extremely costly in terms of time and labor, and it cannot acquire customer personality information without their awareness. Therefore, the manner in which to effectively conduct automated personality predictions for a large number of objects is an important issue. The paper aims to discuss these issues.

Design/methodology/approach
The diverse social media that have emerged in recent years represent a digital platform on which users can publicly deliver speeches and interact with others. Thus, social media may be able to serve the needs of automated personality predictions. Based on user data of Facebook, the main social media platform around the world, this research developed a method for predicting personality types based on interaction logs.

Findings
Experimental results show that the Naïve Bayes classification algorithm combined with a feature selection algorithm produces the best performance for predicting personality types, with 70-80 percent accuracy.

Research limitations/implications
In this research, the dominance, inducement, submission, and compliance (DISC) theory was used to determine personality types. Some specific limitations were encountered. As Facebook was used as the main data source, it was necessary to obtain related data via Facebook’s API (FB API). However, the data types accessible via FB API are very limited.

Practical implications
This research serves to build a universal model for social media interaction, and can be used to propose an efficient method for designing interaction features.

Originality/value
This research has developed an approach for automatically predicting the personality types of network users based on their Facebook interactions.
Status quo bias in information system adoption: a meta-analytic review
Authors: Wu Cheng-Chieh 
Published: November 2016

Purpose
The purpose of this paper is to clarify the influence of status quo on information system (IS) adoption. Organizations often substantially allocate resources to leverage existing IT investments. The incumbent system deployment and the institutional environment will exert the influence on the new IS adoption of firms. The findings provide insights for explaining why firms conservatively react toward an emerging IT innovation.

Design/methodology/approach
The research design of the present study is consisted of the following steps. First, the related theoretical foundations of system adoption are reviewed for constructing the research framework. Second, based on the status quo bias theory, this study proposes a conceptual model. Third, the research data set was constructed through collecting manuscripts by conducting journal-by-journal searching in electronic databases. Finally, the protocol proposed by Lipsey and Wilson (2001) was used to conduct the meta-analysis.

Findings
Through a meta-analysis with 34 published studies, this study provides three observations. First, the results provide supports for the magnitude and significance of proposed relationships. Second, the relationships between status quo factors, expectations, and IS adoption are indeed related. Third, the considerable variability across effect sizes can be attributed to the type of adoption, the type of focal system, and the type of institutional pressures.

Research limitations/implications
Although the meta-analytic results provide supports for the significance and magnitude of proposed relationships, the follow-up manuscripts searching and further analyses are needed.

Originality/value
This research presents a collective understanding of systems adoption from status quo bias perspective. The findings provide insights for further researches on IS adoption.
Assisting the appraisal of e-mail records with automatic classification
Authors: Vellino André , Alberts Inge 
Published: November 2016

Purpose
This paper aims to investigate how automatic classification can assist employees and records managers with the appraisal of e-mails as records of value for the organization.

Design/methodology/approach
The study performed a qualitative analysis of the appraisal behaviours of eight records management experts to train a series of support vector machine classifiers to replicate the decision process for identifying e-mails of business value. Automatic classification experiments were performed on a corpus of 846 e-mails from two of these experts’ mailboxes.

Findings
Despite the highly contextual nature of record value, these experiments show that classifiers have a high degree of accuracy. Unlike existing manual practices in corporate e-mail archiving, machine classification models are not highly dependent on features such as the identity of the sender and receiver or on threading, forwarding or importance flags. Rather, the dominant discriminating features are textual features from the e-mail body and subject field.

Research limitations/implications
The need to automatically classify corporate e-mails is growing in importance, as e-mail remains one of the prevalent recordkeeping challenges.

Practical implications
Automated methods for identifying e-mail records promise to be of significant benefit to organizations that need to appraise e-mail for long-term preservation and access on demand.

Social implications
The research adopts an innovative approach to assist employees and records managers with the appraisal of digital records. By doing so, the research fosters new insights on the adoption of technological strategies to automate recordkeeping tasks, an important research gap.

Originality/value
Our experiment show that a SVM classifier can be trained to replicate an expert's decision process for identifying e-mails of business value with a reasonably high degree of accuracy. In principle, such a classifier could be integrated into a corporate Electronic Document and Records Management System (EDRMS) to improve the quality of e-mail records appraisal.
Detection of adulteration in milk: A review
Authors: Poonia Amrita , Jha Alok , Sharma Rajan , Singh Harikesh Bahadur , Rai Ashwini Kumar , Sharma Nitya 
Published: November 2016

Milk is a wholesome nutritious dairy product and is consumed by a majority of the population worldwide for drinking as such, as well as via dairy products. However, the practice of adulteration of milk invariably reduces its quality and may introduce hazardous substances into the dairy supply chain jeopardising consumers’ health. Various instances of adulteration of milk have been reported globally, wherein substances such as extraneous water, foreign proteins, whey proteins, melamine and urea, vegetable or animal fats, plus many minor constituents of milk fat have been added as potential adulterants in milk and milk products. This review focusses on the different methods of detection of these adulterants in milk using techniques such as DSC, RP‐HPLC, LC‐GC, HPTLC, immunoassays: CE, ELISA, FAMPST, FTIR, NIR spectroscopy, PAGE, IEF, DNA‐based methods and MALDI‐MS that have been developed and employed for the last 25 years. The combination of advanced IR spectroscopy and chemometrics provides a powerful tool for quality and authenticity analysis of milk. An electronic tongue is an easy and economic tool for the detection of caprine milk adulterations with bovine milk. Biosensors having the ability to furnish real‐time signals have been developed for the detection of urea in milk. An attempt has been made to give a clear understanding of the most suitable methods for the determination of various sources of adulteration.
Universal cervical length screening for singleton pregnancies with no history of preterm delivery, or the inverse of the Pareto principle
Authors: Rozenberg P 
Published: November 2016

Ultrasound measurement of cervical length in the general population enables the identification of women at risk for spontaneous preterm delivery. Vaginal progesterone is effective in reducing the risk of preterm delivery in this population. This screening associated with treatment by vaginal progesterone is cost‐effective. Universal screening of cervical length can therefore be considered justified. Nonetheless, this screening will not appreciably reduce the preterm birth prevalence: in France or UK, where the preterm delivery rate is around 7.4%, this strategy would make it possible to reduce it only to 7.0%. This small benefit must be set against the considerable effort required in terms of screening ultrasound scans.Tweetable abstractUniversal ultrasound screening of cervical length is the inverse of Pareto's principle: a small benefit against a considerable effort.
Depleted aldehyde dehydrogenase 1A1 (ALDH1A1) reverses cisplatin resistance of human lung adenocarcinoma cell A549/DDP
Authors: Wei Yunyan , Wu Shuangshuang , Xu Wei , Liang Yan , Li Yue , Zhao Weihong , Wu Jianqing 
Published: November 2016

BackgroundCisplatin is the standard first‐line chemotherapeutic agent for the treatment of non‐small cell lung cancer (NSCLC). However, resistance to chemotherapy has been a major obstacle in the management of NSCLC. Aldehyde dehydrogenase 1A1 (ALDH1A1) overexpression has been observed in a variety of cancers, including lung cancer. The purpose of this study was to investigate the effect of ALDH1A1 expression on cisplatin resistance and explore the mechanism responsible.MethodsReverse transcriptase‐PCR was applied to measure the messenger RNA expression of ALDH1A1, while Western blot assay was employed to evaluate the protein expression of ALDH1A1, B‐cell lymphoma 2, Bcl‐2‐like protein 4, phospho‐protein kinase B (p‐AKT) and AKT. A short hairpin RNA was used to knockdown ALDH1A1 expression. A 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide assay was used to determine the effect of ALDH1A1 decrease on cell viability. The cell apoptotic rate was tested using flow cytometry assay.Results
ALDH1A1 is overexpressed in cisplatin resistant cell line A549/DDP, compared with A549. ALDH1A1 depletion significantly decreased A549/DDP proliferation, increased apoptosis, and reduced cisplatin resistance. In addition, the phosphoinositide 3‐kinase (PI3K)
/
AKT pathway is activated in A549/DDP, and ALDH1A1 knockdown reduced the phosphorylation level of AKT. Moreover, the combination of ALDH1A1‐short hairpin RNA and PI3K/AKT pathway inhibitor LY294002 markedly inhibited cell viability, enhanced apoptotic cell death, and increased cisplatin sensitivity.ConclusionThese results suggest that ALDH1A1 depletion could reverse cisplatin resistance in human lung cancer cell line A549/DDP, and may act as a potential target for the treatment of lung cancers resistant to cisplatin.
Physiological changes associated with routine nursing procedures in critically ill are common: an observational pilot study
Authors: Engström J. , Bruno E. , Reinius H. , Fröjd C. , Jonsson H. , Sannervik J. , Larsson A. 
Published: November 2016

BackgroundNursing procedures that are routinely performed in the intensive care unit (ICU) are assumed to have minimal side effects. However, these procedures may sometimes cause physiological changes that negatively affect the patient. We hypothesized that physiological changes associated with routine nursing procedures in the ICU are common.MethodsA clinical observational study of 16 critically ill patients in a nine‐bed mixed university hospital ICU. All nursing procedures were observed, and physiological data were collected and subsequently analyzed. Minor physiological changes were defined as minimal changes in respiratory or circulatory variables, and major physiological changes were marked as hyper/hypotension, bradycardia/tachycardia, bradypnea/tachypnea, ventilatory distress, and peripheral blood oxygen desaturation.ResultsIn the 16 patients, 668 procedures generated 158 major and 692 minor physiological changes during 187 observational hours. The most common procedure was patient position change, which also generated the majority of the physiological changes. The most common major physiological changes were blood oxygen desaturation, ventilatory distress, and hypotension, and the most common minor changes were arterial pressure alteration, coughing, and increase in respiratory rate.ConclusionIn this pilot study, we examined physiological changes in connection with all regular routine nursing procedures in the ICU. We found that physiological changes were common and sometimes severe.
Progression from unipolar depression to schizophrenia
Authors: Musliner Katherine L. , Munk‐Olsen Trine , Mors Ole , Østergaard Søren D. 
Published: November 2016

ObjectiveTo examine progression from unipolar depression (UD) to schizophrenia and to identify groups of UD patients at elevated risk for progression.MethodHistorical prospective cohort study using data from Danish national registers. The sample included 71 932 individuals who received a diagnosis of UD in Denmark between January 1, 1995, and May 31, 2013. Analyses were conducted using Kaplan–Meier estimates and Cox regressions.ResultsThe 18.5‐year cumulative incidence of schizophrenia was 5.5% in women and 8.4% in men. The strongest predictors of progression included younger age (adjusted hazard ratio (AHR) for individuals 18–24 vs. 40+ = 7.42, 95% confidence interval = [6.29, 8.74]), psychotic symptoms at index UD diagnosis (AHR = 3.70 [3.18, 4.31]), previous disorder with psychotic features (AHR = 3.71 [3.31, 4.16]), and previous illicit substance use disorder (AHR = 1.66 [1.40, 1.97]). Groups of UD patients with different combinations of risk factors had elevated risk for progression, with 10‐year cumulative incidences ranging from 9% to 62%.To conclude, at the time of UD diagnosis, the strongest risk factors for progression to schizophrenia include male sex, younger age, past/current psychotic symptoms, and illicit substance use disorders. These clinical predictors may aid in targeting monitoring for schizophrenia among patients with UD.
Towards a New Paradigm in Nano‐Genotoxicology: Facing Complexity of Nanomaterials’ Cellular Interactions and Effects
Authors: Gonzalez Laetitia , Cundari Enrico , Leyns Luc , Kirsch‐Volders Micheline 
Published: November 2016

AbstractChanges in paradigm contribute to advances in research. The current paradigms for the evaluation of toxicity of chemicals refer to linear or curvilinear dose–response curves with or without threshold and to surface‐dependent induction of oxidative damage for particles. The unique physicochemical properties and biological/genotoxic activity of engineered nanomaterials (NMs) require the development of a new paradigm. Because of their unusual dosimetry and their multiple interactions at NM level (agglomeration/aggregation) and at different cellular and extracellular levels, NMs are likely to have complex modes of action (multiple hits at multiple targets) leading to complex thresholded–non‐thresholded dose–response curves. Understanding their cellular targets and their modes of action will contribute to the production of safe‐by‐design NMs. An integrative, cell‐by‐cell approach for genotoxic effects should be applied to tackle this emerging paradigm in nano‐genotoxicology.
From boundary waters to watersheds: Legal change and the geography of the Great Lakes‐St. Lawrence system
Authors: Benidickson Jamie 
Published: November 2016

Key MessagesThe legal framework applicable to the geography of the Great Lakes‐St. Lawrence has evolved.At the time of theBoundary Waters Treatya linear, boundary‐oriented perspective prevailed.Following theGreat Lakes Water Quality Agreementof 1972, the introduction of basin‐ and ecosystem‐oriented approaches altered the legal framework for the Great Lakes‐St. Lawrence system.
MEG Evidence for Incremental Sentence Composition in the Anterior Temporal Lobe
Authors: Brennan Jonathan R. , Pylkkänen Liina 
Published: November 2016

AbstractResearch investigating the brain basis of language comprehension has associated the left anterior temporal lobe (ATL) with sentence‐level combinatorics. Using magnetoencephalography (MEG), we test the parsing strategy implemented in this brain region. The number of incremental parse steps from a predictive left‐corner parsing strategy that is supported by psycholinguistic research is compared with those from a less‐predictive strategy. We test for a correlation between parse steps and source‐localized MEG activity recorded while participants read a story. Left‐corner parse steps correlated with activity in the left ATL around 350–500 ms after word onset. No other correlations specific to sentence comprehension were observed. These data indicate that the left ATL engages in combinatoric processing that is well characterized by a predictive left‐corner parsing strategy.
A New “Mormon Moment”? The Book of Mormon in Literary Studies
Authors: Scales Laura Thiemann 
Published: November 2016

AbstractDespite deep popular interest in Mormon culture, scholars have not given significant attention to the religion's central scripture. The Book of Mormon is relevant to literary studies at a moment when the turn to religion and debates over the secularization thesis have captured scholarly attention. Until recently, scholarship on The Book of Mormon was largely polemical and divided between apologists and skeptics. The rise of the new Mormon history beginning in the 1960s helped bring studies of Mormonism tentatively into the mainstream academy. Historians and scholars of religious studies have examined the reception of The Book of Mormon, the rise of the religion in early American culture, and the story of its founder, Joseph Smith. By studying the long‐neglected internal workings of the text, literary critics have the opportunity to bring new scholarly techniques to bear on this highly influential American scripture.
Convergent evolution of social hybridogenesis in Messor harvester ants
Authors: Romiguier Jonathan , Fournier Axel , Yek Sze Huei , Keller Laurent 
Published: November 2016

AbstractSexual reproduction generally requires no more than two partners. Here, we show convergent evolution of social hybridogenesis, a reproductive system requiring three reproductive partners in harvester ants. In this unorthodox reproductive system, two distinct genetic lineages live in sympatry and queens have to mate with males of their own lineage to produce queens along with males of the alternative lineage to produce workers. Using a large transcriptomic data set of nine species, we show that social hybridogenesis evolved at least three times independently in the genus Messor. Moreover, a study of 13 populations of Messor barbarus revealed that this mode of reproduction is fixed in the whole range of this ecologically dominant species. Finally, we show that workers can produce males carrying genes of the two genetic lineages, raising the possibility of rare gene flow between lineages contributing to the long‐term maintenance of pairs of interdependent lineages. These results emphasize the evolutionary importance of social hybridogenesis, a major transition possibly linked to the peculiar ecology of harvester ants.
Factors associated with bone marrow stem cell yield for pediatric allogeneic stem cell transplantation: The impact of donor characteristics
Authors: Fettah Ali , Özbek Namık , Özgüner Meltem , Azık Fatih , Işık Pamir , Avcı Zekai , Yaralı Neşe , Uçkan Duygu , Tunç Bahattin 
Published: November 2016

AbstractThe aim of this study was to investigate the effects of donor characteristics onCD34+cell yield in BM harvest. Between April 2010 and November 2013, consecutive donors who underwent BM harvesting in our BM transplantation unit were retrospectively investigated. Donors were classified into two groups: those who donated BM without mobilization (steady‐state BM donors) and those who received G‐CSFfor stem cell mobilization (G‐CSF‐primed BM donors). Donor characteristics (age, gender, race, body weight, BMI, and laboratory factors including donor's leukocyte, platelet, and monocyte) and their relationship with total nuclear cell andCD34+cell numbers has been evaluated. A total of 64 healthy related donors (29 males/35 females, median age 11.2 years; 49 [76.6%] younger than 18 and 36 [56.3%] younger than 12 years) were included in the study. The medianCD34+cell yield in the harvest was 0.12×106/L (0.02‐0.21) inSS‐BMdonors and 0.18×106/L (0.09‐0.67) inGP‐BMdonors (P=.03). Median ofCD34+cell count given to recipients was 2.6×106/recipient body weight (1.3‐19.3) inSS‐BMyields and 3.8×106/recipient body weight (1.1‐10.2) inGP‐BMyields, respectively. Multiple regression analysis showed that donor height and pre‐G‐CSFplatelet were the most important parameters to obtain a sufficient BM harvest. Our data suggest that the shorter donors and the donors with higher thrombocyte counts may offer more hematopoietic stem cell. The height and thrombocyte count of the donors should be taken into consideration before planning the targetedCD34+cell count especially for pediatric donors.
Novel Viruses Isolated from Mosquitoes in Pantanal, Brazil
Authors: Pauvolid-Corrêa Alex , Solberg Owen , Couto-Lima Dinair , Nogueira Rita Maria , Langevin Stanley , Komar Nicholas 
Published: November 2016

ABSTRACT
Genomic sequences are described from five novel viruses and divergent strains of Brejeira and Guaico Culex viruses from mosquitoes collected in Pantanal, Brazil, in 2010.