bluuebunny/crossref_metadata_2025_split huggingface dataset:
Workplace ostracism, paranoid employees and service performance: a multilevel investigation
Authors: Al-Atwi Amer Ali , Cai Yahua , Amankwah-Amoah Joseph 
Published: February 2021

PurposeDrawing on the literature on victim precipitation theory, workplace ostracism (WO) and paranoia, this paper examines the mediating role of WO on the paranoia–service performance (SP) relationship. This paper further postulates that team cognitive diversity (TCD) moderates the paranoia–WO relationship.Design/methodology/approachData were collected from 228 nurses from a leading hospital located in an eastern province of China. Hypotheses developed from the literature were tested using multivariate hierarchical linear modeling (HLM).FindingsWO had a negative effect on SP, while TCD had a positive effect on WO. Cognitive diversity moderated the paranoia–WO relationship, such that the positive relationship was stronger when group diversity was high.Originality/valueThis paper develops and tests a model exploring the antecedents of WO and its effect on SP.
Filling structural holes? Guanxi-based facilitation of knowledge sharing within a destination network
Authors: Liu Jiayuan , Yan Jianzhou 
Published: February 2021

Purpose
This study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.

Design/methodology/approach
This study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.

Findings
Knowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.

Originality/value
This study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.
Knowledge mobilisation in sub-Saharan Africa: an impact evaluation of CPDL in improving primary school children’s performance
Authors: Mason Miriam , Galloway David 
Published: February 2021

PurposeA non-governmental organisation (NGO) with schools in Sierra Leone prioritises admission of the most disadvantaged children but nevertheless achieves high educational and social standards. These schools were asked to provide continuing professional development and learning (CPDL) for other schools. This paper aims to report the design, development and delivery of CPDL which aimed to mobilise effective practices more widely. It also reports the design and results of an impact evaluation.Design/methodology/approachIt was recognised that CPDL delivered by foreigners would be (1) unaffordable in this impoverished West African country and (2) culturally inappropriate. It was therefore delivered by local teachers from the NGO's own schools. Most had obtained no formal teaching qualification. They were trained to collect data using a quasi-experimental design for an impact evaluation of children's attendance and literacy. A total of five schools participated in the CPDL, with ten control schools.FindingsA largely unqualified team succeeded in mobilising knowledge in the experimental schools. Children's attendance in experimental schools improved over that in control schools. Performance in literacy also improved significantly and was maintained at follow-up.Research limitations/implicationsFindings of the impact evaluation are seen as indicative rather than causal because a quasi-experimental study was conducted rather than a randomised controlled trial.Originality/valueThis lies in (1) teachers in schools with a severely disadvantaged intake providing a structured programme of CPDL for teachers in other schools; (2) school improvement through knowledge mobilisation in CPDL; (3) an impact evaluation with a quasi-experimental design showing improvement in children's performance.
Investigating the logistics costs model: recent update in Indonesia
Authors: Subiyanto Effnu 
Published: February 2021

Purpose
This study aims to shed light on defining precisely variables of logistics costs model in Indonesia’s cement projects and generally other projects scientifically. The variables have previously so far been identified based on pragmatism and practical experience without rigorous scientific and empirical findings. The models are deeply awaited by every project practitioner, especially project controllers, in Indonesia.

Design/methodology/approach
Data for the period 2010–2018 of eight cement projects were taken in quarterly and tested with a statistical tool EVIEWS10 to develop a robust proposed model. Investigating models were done by literature studies and empirical studies, and the results had been examined by statistical tests to be determined as robust or not-robust models. The certain period taken due to the availability data of the cement projects in which after 2018 was unavailable because the cement product is overcapacity in Indonesia.

Findings
The model proposed is resulted by synthesizing logistics literature and empirical from the cement projects in which the model consists of foreign logistics costs, domestic manufacture, and domestic logistics costs as the best findings to develop logistics model for the cement projects with a-10 independent variable. It significantly found the variable of foreign logistics costs have taken higher portions in the model, and therefore must be prior carefully anticipated.

Practical implications
To guide investors to alert with several important variables of logistics in Indonesia. As education that to invest in Indonesia, the best logistics model must prior be known to anticipate further uncertainty.

Originality/value
This study is advanced applied research of logistics models developed by author for future possibility implementation in the sector beyond cement projects.
Motives in creating an LGBTQ inclusive work environment: a case study
Authors: Opall Brent S. 
Published: February 2021

PurposeThe purpose of this inquiry is to examine why companies create LGBTQ-inclusive work environments and how these firms advance LGBTQ-inclusiveness through CSR practices and address challenges presented by strategic duality.Design/methodology/approachUsing a qualitative multiple case study design, data was collected and then triangulated from interviews and company documents. NVivo, a qualitative research program, was used to organize, sort, query and model the data.FindingsSeveral themes were identified as reasons why Fortune 500 organizations sought to create LGBTQ-inclusive work environments. Themes include a positive return on investment, advancing human rights issues within the framework of corporate social responsibility (CSR), internal organizational pressure and parity with other Minnesota companies. Findings are examined through the theoretical lens of strategic duality.Research limitations/implicationsPrimary theoretical implications include contributions to our understanding of strategic duality by providing a first-hand account from people in organizations that encountered imperatives that to some degree are in conflict. By design, the multiple case study methodology does not allow generalizations to be drawn beyond the organizations included in this study.Practical implicationsBoth managers and researchers will find this study provides valuable insight on how people and organizations experience and navigate strategic duality (pairs of competing imperatives) within the context of the motivation behind creating an LGBTQ-inclusive work environment.Originality/valueThis inquiry provides a unique and valuable account as to why organizations choose to invest resources in creating a LGBTQ-inclusive work environment, the return on investment (ROI) and examines competing imperatives (strategic dualities) faced by management. Similar multiple case studies of this qualitative nature are rare, possibly even non-existent and, therefore, this study makes a significant contribution to the literature.
Numerical study for the improvement of bead spreading architecture with modified nozzle geometries in additive manufacturing of polymers
Authors: Papon Easir Arafat , Haque Anwarul , Sharif Muhammad Ali Rob 
Published: February 2021

Purpose
This paper aims to develop a numerical model of bead spreading architecture of a viscous polymer in fused filament fabrication (FFF) process with different nozzle geometry. This paper also focuses on the manufacturing feasibility of the nozzles and 3D printing of the molten beads using the developed nozzles.

Design/methodology/approach
The flow of a highly viscous polymer from a nozzle, the melt expansion in free space and the deposition of the melt on a moving platform are captured using the FLUENT volume of fluid (VOF) method based computational fluid dynamics code. The free surface motion of the material is captured in VOF, which is governed by the hydrodynamics of the two-phase flow. The phases involved in the numerical model are liquid polymer and air. A laminar, non-Newtonian and non-isothermal flow is assumed. Under such assumptions, the spreading characteristic of the polymer is simulated with different nozzle-exit geometries. The governing equations are solved on a regular stationary grid following a transient algorithm, where the boundary between the polymer and the air is tracked by piecewise linear interface construction (PLIC) to reconstruct the free surface. The prototype nozzles were also manufactured, and the deposition of the molten beads on a flatbed was performed using a commercial 3D printer. The deposited bead cross-sections were examined through optical microscopic examination, and the cross-sectional profiles were compared with those obtained in the numerical simulations.

Findings
The numerical model successfully predicted the spreading characteristics and the cross-sectional shape of the extruded bead. The cross-sectional shape of the bead varied from elliptical (with circular nozzle) to trapezoidal (with square and star nozzles) where the top and bottom surfaces are significantly flattened (which is desirable to reduce the void spaces in the cross-section). The numerical model yielded a good approximation of the bead cross-section, capturing most of the geometric features of the bead with a reasonable qualitative agreement compared to the experiment. The quantitative comparison of the cross-sectional profiles against experimental observation also indicated a favorable agreement. The significant improvement observed in the bead cross-section with the square and star nozzles is the flattening of the surfaces.

Originality/value
The developed numerical algorithm attempts to address the fundamental challenge of voids and bonding in the FFF process. It presents a new approach to increase the inter-bead bonding and reduce the inter-bead voids in 3D printing of polymers by modifying the bead cross-sectional shape through the modification of nozzle exit-geometry. The change in bead cross-sectional shape from elliptical (circular) to trapezoidal (square and star) cross-section is supposed to increase the contact surface area and inter-bead bonding while in contact with adjacent beads.
Antimicrobial resistance in Enterobacteriaceae isolated from arthropods in Gifu City, Japan
Authors: Odoi Justice O. , Yamamoto Miku , Sugiyama Michiyo , Asai Tetsuo 
Published: February 2021

AbstractThe wide occurrence of antimicrobial‐resistant (AMR) bacteria in various environments is of great concern. Here, we examined the prevalence and antimicrobial susceptibility of Enterobacteriaceae isolated from 88 wild arthropods, collected in Gifu city, Japan. In total, 168 isolates of Enterobacteriaceae were obtained from 61 arthropods. All isolates were susceptible to all the antimicrobial agents tested, except colistin (31 isolates) and kanamycin (one isolate). The aph(3′)‐Ia gene, responsible for kanamycin resistance, was detected in Klebsiella oxytoca. Although synanthropic arthropods (houseflies and cockroaches) serve as vectors for AMR Enterobacteriaceae, other wild arthropods are not crucial carriers of Enterobacteriaceae resistant to antimicrobial agents.
Activity and bioavailability of food protein‐derived angiotensin‐I‐converting enzyme–inhibitory peptides
Authors: Xue Lu , Yin Rongxin , Howell Kate , Zhang Pangzhen 
Published: February 2021

AbstractAngiotensin‐I‐converting enzyme (ACE) inhibitory peptides are able to inhibit the activity of ACE, which is the key enzymatic factor mediating systemic hypertension. ACE‐inhibitory peptides can be obtained from edible proteins and have the function of antihypertension. The amino acid sequences and the secondary structures of ACE‐inhibitory peptides determine the inhibitory activities and stability. The resistance of ACE‐inhibitory peptides to digestive enzymes and peptidase affect their antihypertensive bioactivity in vivo. In this paper, the mechanism of ACE‐inhibition, sources of the inhibitory peptides, structure–activity relationships, stability during digestion, absorption and transportation of ACE‐inhibitory peptides, and consumption of ACE‐inhibitory peptides are reviewed, which provide guidance to the development of new functional foods and production of antihypertensive nutraceuticals and pharmaceuticals.
Characterizing the chemical and sensory profiles of traditional American meads
Authors: Senn Kaylie , Cantu Annegret , Heymann Hildegarde 
Published: February 2021

AbstractThe compositional and sensorial profiles of traditional American meads were determined using standard enological, volatile, and descriptive analyses. Forty‐one commercial meads produced by 35 meaderies across 20 states were selected to encompass a broad product range. The meads were analyzed for ethanol content, residual sugar, pH, titratable acidity, acetic acid, and free and total sulfur dioxide. Forty‐three volatile compounds (alcohols, esters, acids, terpenes, aldehydes, aromatic hydrocarbons, etc.) were tentatively identified using a nontargeted HS‐SPME‐GC‐MS method. Ethyl octanoate, phenylethyl alcohol, ethyl decanoate, and ethyl acetate were the most relatively abundant volatile compounds across the sample set. A trained panel (n = 11) evaluated each mead using descriptive analysis and the chemical and sensory analyses were compared. Acidity, sweetness, and cloying and viscous mouthfeel sensations, and alcoholic heat were the most influential sensory attributes and were driven by titratable acidity, residual sugar, and ethanol content, respectively. Ethyl octanoate and ethyl decanoate were correlated with manure aroma, phenylethyl alcohol with yeast and green aromas, and ethyl acetate with citrus, solvent, and green olive aromas. This research further elucidates the empirical relationship between the chemical composition and sensory profiles of commercial meads.Practical ApplicationThis work provides the mead industry with further understanding of the compositional drivers of the sensory profiles of commercial meads and demonstrates product categories (dry, semi‐sweet, sweet) do not necessarily indicate compositional or sensory attributes.
Refraction and its development in young adults born prematurely and screened for retinopathy of prematurity
Authors: Pétursdóttir Dýrleif , Holmström Gerd , Larsson Eva 
Published: February 2021

AbstractPurposeTo evaluate refraction and its development in young adults born prematurely, screened for retinopathy of prematurity, and to compare with individuals of the same age born at term.Materials and methodsThe participants were 59 preterms, with a birthweight of ≤ 1500 g, and 43 term‐born controls, all born during 1988–1990. The refraction was measured in cycloplegia, and the spherical equivalent (SE) was calculated. The axial length (AL), anterior chamber depth and corneal radius (CR) were measured, and the AL/CR ratio was calculated.ResultsThe mean SE was −0.5 dioptres (D) (SD 2.5) in right eyes (REs) and −0.4 D (SD 2.3) in left eyes (LEs) of preterms, and −0.2 D (SD 1.5) in REs and −0.2 D (SD 1.5) in LEs of controls. The distribution of refraction was wider in the preterm group compared to the control group. In the preterm group, 12% had a SE ≥ 1.5 D, but none of the controls. Ten preterms, but none of the controls, had anisometropia ≥ 1.0 D. The prevalence of astigmatism ≥ 1.0 D was higher in preterms than controls. The SE decreased around 1 D in both preterms and controls from 10 to 25 years of age. The AL and CR were shorter in the preterms; however, the AL/CR ratio was similar in both groups. Within the preterm group, cryotherapy was correlated with astigmatism, but not with SE and anisometropia at this age.ConclusionPrematurely born individuals had higher prevalence of refractive errors in young adulthood compared to term‐born controls.
Information‐incorporated Gaussian graphical model for gene expression data
Authors: Yi Huangdi , Zhang Qingzhao , Lin Cunjie , Ma Shuangge 
Published: February 2021

AbstractIn the analysis of gene expression data, network approaches take a system perspective and have played an irreplaceably important role. Gaussian graphical models (GGMs) have been popular in the network analysis of gene expression data. They investigate the conditional dependence between genes and “transform” the problem of estimating network structures into a sparse estimation of precision matrices. When there is a moderate to large number of genes, the number of parameters to be estimated may overwhelm the limited sample size, leading to unreliable estimation and selection. In this article, we propose incorporating information from previous studies (for example, those deposited at PubMed) to assist estimating the network structure in the present data. It is recognized that such information can be partial, biased, or even wrong. A penalization‐based estimation approach is developed, shown to have consistency properties, and realized using an effective computational algorithm. Simulation demonstrates its competitive performance under various information accuracy scenarios. The analysis of TCGA lung cancer prognostic genes leads to network structures different from the alternatives.
Pursuing sources of heterogeneity in modeling clustered population
Authors: Li Yan , Yu Chun , Zhao Yize , Yao Weixin , Aseltine Robert H. , Chen Kun 
Published: February 2021

AbstractResearchers often have to deal with heterogeneous population with mixed regression relationships, increasingly so in the era of data explosion. In such problems, when there are many candidate predictors, it is not only of interest to identify the predictors that are associated with the outcome, but also to distinguish the truesources of heterogeneity, that is, to identify the predictors that have different effects among the clusters and thus are the true contributors to the formation of the clusters. We clarify the concepts of the source of heterogeneity that account for potential scale differences of the clusters and propose aregularized finite mixture effects regressionto achieve heterogeneity pursuit and feature selection simultaneously. We develop an efficient algorithm and show that our approach can achieve both estimation and selection consistency. Simulation studies further demonstrate the effectiveness of our method under various practical scenarios. Three applications are presented, namely, an imaging genetics study for linking genetic factors and brain neuroimaging traits in Alzheimer's disease, a public health study for exploring the association between suicide risk among adolescents and their school district characteristics, and a sport analytics study for understanding how the salary levels of baseball players are associated with their performance and contractual status.
Mobile health technology to improve emergent frailty after lung transplantation
Authors: Diamond Joshua M. , Courtwright Andrew M. , Balar Priya , Oyster Michelle , Zaleski Derek , Adler Joe , Brown Melanie , Hays Steven R. , Sutter Nicole , Garvey Chris , Kukreja Jasleen , Gao Ying , Bruun Allan , Smith Patrick J. , Singer Jonathan P. 
Published: February 2021

AbstractWe evaluated the feasibility, safety, and efficacy of a mHealth‐supported physical rehabilitation intervention to treat frailty in a pilot study of 18 lung transplant recipients. Frail recipients were defined by a short physical performance battery (SPPB score ≤7). The primary intervention modality was Aidcube, a customizable rehabilitation mHealth platform. Our primary aims included tolerability, feasibility, and acceptability of use of the platform, and secondary outcomes were changes in SPPB and in scores of physical activity, and disability measured using the Duke Activity Status Index (DASI) and Lung Transplant‐Value Life Activities (LT‐VLA). Notably, no adverse events were reported. Subjects reported the app was easy to use, usability improved over time, and the app enhanced motivation to engage in rehabilitation. Comments highlighted the complexities of immediate post‐transplant rehabilitation, including functional decline, pain, tremor, and fatigue. At the end of the intervention, SPPB scores improved a median of 5 points from a baseline of 4. Physical activity and patient‐reported disability also improved. The DASI improved from 4.5 to 19.8 and LT‐VLA score improved from 2 to 0.59 at closeout. Overall, utilization of a mHealth rehabilitation platform was safe and well received. Remote rehabilitation was associated with improvements in frailty, physical activity and disability. Future studies should evaluate mHealth treatment modalities in larger‐scale randomized trials of lung transplant recipients.
Starting small: exploring the origins of successor function knowledge
Authors: Schneider Rose M. , Pankonin Ashlie , Schachner Adena , Barner David 
Published: February 2021

AbstractAlthough most U. S. children can accurately count sets by 4 years of age, many fail to understand the structural analogy between counting and number — that adding 1 to a set corresponds to counting up 1 word in the count list. While children are theorized to establish this Structure Mapping coincident with learning how counting is used to generate sets, they initially have an item‐based understanding of this relationship, and can infer that, e.g, adding 1 to “five” is “six”, while failing to infer that, e.g., adding 1 to “twenty‐five” is “twenty‐six” despite being able to recite these numbers when counting aloud. The item‐specific nature of children's successes in reasoning about the relationship between changes in cardinality and the count list raises the possibility that such a Structure Mapping emerges later in development, and that this ability does not initially depend on learning to count. We test this hypothesis in two experiments and find evidence that children can perform item‐based addition operations before they become competent counters. Even after children learn to count, we find that their ability to perform addition operations remains item‐based and restricted to very small numbers, rather than drawing on generalized knowledge of how the count list represents number. We discuss how these early item‐based associations between number words and sets might play a role in constructing a generalized Structure Mapping between counting and quantity.