bluuebunny/crossref_metadata_2025_split huggingface dataset:
Knowledge complexity and team information processing: the mediating role of team learning goal orientation
Authors: Duan Chenggang , Liu Xinmei , Yang Xiaomei , Deng Cheng 
Published: July 2022

Purpose
Drawing on job demands and resources theory and the challenge-hindrance stressor framework, this study aims to investigate the effect of team knowledge complexity on team information sharing and information searching and examine whether team learning goal orientation mediates these effects.

Design/methodology/approach
The authors conducted two studies. Study 1 used a field survey study conducted among 374 employees positioned in 68 new product teams. Study 2 used a three-wave online survey study conducted among 208 leaders to investigate the teams they managed.

Findings
The findings of the two studies reveal that team knowledge complexity has a positive direct effect on team information sharing and information searching. Furthermore, team learning goal orientation mediates these two relationships.

Practical implications
The findings indicate that team knowledge complexity is generally beneficial for the team information process. Therefore, instead of fearing an increase in the knowledge complexity of the projects, organizations should dare to present challenge demands to team members to enhance their engagement in information processing. Organizations could also pay attention to team member selection during team composition processes. For example, selecting team members with a high level of learning goal orientation is helpful in facilitating team information processing.

Originality/value
Although previous studies have found that knowledge complexity is beneficial for team output, less is known about how knowledge complexity influences team processes. This study clarifies the relationships between team knowledge complexity, information sharing and information searching and examines team learning goal orientation as a vital mediator.
How shared leadership affects team performance: examining sequential mediation model using MASEM
Authors: Chen Wei , Zhang Jun-Hui , Zhang Yi-Lin 
Published: July 2022

PurposeThe purpose of this study is to reveal a sequential mediating process of the impact of shared leadership on team performance by studying the sequential mediating effect of team trust and team learning behavior.Design/methodology/approachThis study develops and examines a sequential mediation model using the meta-analytic structural equation modeling (MASEM) method. The sample adopted consists of 347 independent effect sizes extracted from 280 empirical papers (288 independent studies, N = 21,888 groups).FindingsThe results indicate that team trust and team learning behavior play a sequential mediating effect in the shared leadership–team performance relationship.Practical implicationsThe findings suggest that practitioners should share leadership functions and responsibilities among talented team members. Furthermore, practitioners should strengthen the emotional interaction among team members and give positive feedback to the team's intensive learning behaviors.Originality/valueBy identifying the sequential mediating effect of team trust and team learning behavior, this study not only advances the understandings of a comprehensive mediating process through which shared leadership enhances team performance, but also offers new insights into the interrelationship of different types of mediating mechanisms (i.e. team emergent state and team process) in the shared leadership–team performance relationship.
How to select employees to participate in interactive innovation: analysis of the relationship between personality, social networks and innovation behavior
Authors: Jiang Xiaoyan , Lin Jie , Zhou Lixin , Wang Chao 
Published: July 2022

PurposeEmployees play an essential role in interactive innovation activities in Open Innovation Communities (OICs). Nevertheless, the factors influencing employees' innovation behavior in OICs have not been studied in depth. This study selects personality traits and social network characteristics to explain why and how these two factors affect employees' innovation behavior in OICs.Design/methodology/approachThree regression models were constructed to test the relationship between personality traits, social network characteristics, and interactive innovation behaviors. The authors examined how employees' personality traits (Big Five personality traits) influence employees' innovative behavior (initiating and supporting innovation) directly in OICs and explored whether social network characteristics (social group) mediate the relationship between employees' personality traits and employees' innovation behavior.FindingsUsing empirical data on 162 employees from Salesforce's IdeaExchange, the authors found that extraversion and openness to experience have significant positive effects on employees' interactive innovation behaviors, while conscientiousness has a significant negative effect on employees' interactive innovation behaviors in OICs. Furthermore, the mediation effect test results indicated that social network characteristics have a mediating effect on the relationship between extraversion and innovative behavior, and between openness and innovative behavior.Originality/valueThis study analyzes how personality traits influence innovation behavior in an open innovation environment, thus enriching research related to the factors influencing interactive innovation behavior. Meanwhile, the study integrates personality, social network, and innovative behavior research streams and clearly explains the relationship between the three variables. The research findings assist firms in selecting suitable employees to participate in interactive innovation behaviors in OICs.
Assessment of student readiness for clinical education in mixed-mode curriculum delivery: a case study
Authors: White Laura W. , Jordan Kelly Elizabeth , McDermott Heidi 
Published: July 2022

Purpose
The purpose of this case study is to describe a simulation-based assessment designed to assure student readiness for a first full-time clinical experience in an entry-level Doctor of Physical Therapy program that transitioned to mixed-mode instruction during the COVID-19 pandemic.

Design/methodology/approach
A cohort of 40 second-year physical therapy students whose content delivery mode, assessment methods and curricular sequence deviated from the curricular plan participated in a new assessment using standardized patients. The assessment was developed to preferentially address the knowledge, skills, abilities and professional behaviors (KSAs) that were typically assessed with other methods before the pandemic.

Findings
The assessment was useful in identifying students who required additional learning experiences to meet expected levels of competence before transition to a first full-time clinical experience. It also identified KSAs that needed to be strengthened within the entire cohort of students.

Research limitations/implications
This case study provides an example of feasible implementation of an assessment of student readiness for clinical education that may guide future development of standardized assessments in health profession education (HPE) programs that have or plan to transition to mixed-mode content delivery.

Originality/value
This case study highlights the need and process for developing and implementing additional assessments in HPE programs when planned changes or unexpected variations in curriculum delivery occur. This evidence-based assessment preferentially addresses the affective domain of learning and includes competency standards that have recently been developed for physical therapy education in the USA.
DNA biosensor based detection for neglected tropical disease: moving towards smart diagnosis
Authors: Stephen Bjorn John , Suchanti Surabhi , Jain Devendra , Dhaliwal Harshdeep , Sharma Vikram , Kaur Ramandeep , Mishra Rajeev , Singh Abhijeet 
Published: July 2022

Purpose
Neglected tropical diseases (NTDs) are a set of infectious diseases that primarily affect low-income countries situated near the equator. Effective diagnostic tools hold the key to stemming the spread of these infectious diseases. However, specificity is a major concern associated with current diagnostic protocols. In this regard, electrochemical deoxyribonucleic acid (DNA) biosensors could play a crucial role, as highlighted by renewed interest in their research. The purpose of this study was to highlight the current scenario for the design and development of biosensors for the detection of NTDs related pathogens. This review highlights the different types of factors involved and the modifications used to enhance sensor properties.

Design/methodology/approach
The authors discuss the potential of electrochemical DNA biosensors as efficient, affordable diagnostic tools for the detection of pathogens associated with NTDs by reviewing available literature. This study discusses the biosensor components, mainly the probe selection and type of electrodes used, and their potential to improve the overall design of the biosensor. Further, this study analyses the different nanomaterials used in NTD-based electrochemical DNA biosensors and discusses how their incorporation could improve the overall sensitivity and specificity of the biosensor design. Finally, this study examines the impact such techniques could have in the future on mass screening of NTDs.

Findings
The findings provide an in-depth analysis of electrochemical DNA biosensors for the detection of pathogens associated with NTDs.

Originality/value
This review provides an update on the different types and modifications of DNA biosensors that have been designed for the diagnosis of NTD-related pathogens.
Using piecewise regression to identify biological phenomena in biotelemetry datasets
Authors: Wolfson David W. , Andersen David E. , Fieberg John R. 
Published: July 2022

Abstract

Technological advances in the field of animal tracking have greatly expanded the potential to remotely monitor animals, opening the door to exploring how animals shift their behaviour over time or respond to external stimuli. A wide variety of animal‐borne sensors can provide information on an animal's location, movement characteristics, external environmental conditions and internal physiological status.

Here, we demonstrate how piecewise regression can be used to identify the presence and timing of potential shifts in a variety of biological responses using multiple biotelemetry data streams. Different biological latent states can be inferred by partitioning a time‐series into multiple segments based on changes in modelled responses (e.g. their mean, variance, trend, degree of autocorrelation) and specifying a unique model structure for each interval.

We provide six example applications highlighting a variety of taxonomic species, data streams, timescales and biological phenomena. These examples include a short‐term behavioural response (flee and return) by a trumpeter swan Cygnus buccinator following a GPS collar deployment; remote identification of parturition based on movements by a pregnant moose Alces alces; a physiological response (spike in heart‐rate) in a black bear Ursus americanus to a stressful stimulus (presence of a drone); a mortality event of a trumpeter swan signalled by changes in collar temperature and overall dynamic body acceleration; an unsupervised method for identifying the onset, return, duration and staging use of sandhill crane Antigone canadensis migration; and estimation of the transition between incubation and brood‐rearing (i.e. hatching) for a breeding trumpeter swan.

We implement analyses using the mcp package in R, which provides functionality for specifying and fitting a wide variety of user‐defined model structures in a Bayesian framework and methods for assessing and comparing models using information criteria and cross‐validation measures.

These simple modelling approaches are accessible to a wide audience and offer a straightforward means of assessing a variety of biologically relevant changes in animal behaviour.
A dataset for vascular plant diversity monitoring for the natural World Heritage site on Amami‐Oshima Island, Tokunoshima Island, and the northern Okinawa Island
Authors: Toyama Hironori , Totsu Kumiko , Tagane Shuichiro , Aiba Shin‐ichiro , Ugawa Shin , Suzuki Eizi , Yamazaki Kaito , Fuse Kengo , Takashima Atsushi , Toyama Nariko , Kadoya Taku , Takeuchi Yayoi 
Published: July 2022

AbstractThis data paper presents the vascular plant biodiversity sampled from four plots on Amami‐Oshima Island, three plots on Tokunoshima Island, and one plot on Okinawa Island within the natural World Heritage site, and an additional three plots in southern Kyushu using the standardized belt‐transect survey method during July 2012 to October 2020. The dataset includes 99 families, 215 genera, and 381 species of vascular plants, and provides species occurrence among 10 subplots for all vascular plants, girth at breast height (GBH) and height of all trees and climbers with GBH ≥ 3.2 cm or height ≥ 4 m in each 5 × 100 m plot. This dataset serves as baseline data for subsequent plant diversity monitoring of the natural World Heritage site. The Darwin Core Archive is deposited in the Global Biodiversity Information Facility (GBIF) through the Japan Initiative for Biodiversity Information, and are thus accessible through the GBIF portal under the Creative Commons Attribution 4.0 International license. The detailed Metadata for this abstract published in the Data Article section of the journal is available in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP‐2022‐03.1/jalter‐en.
Nondestructive discrimination of black ceramic prints on automotive glasses by portable X‐ray fluorescence spectrometer
Authors: Ishimi Akane , Nakanishi Toshio , Seto Yasuo , Nishiwaki Yoshinori 
Published: July 2022

AbstractAutomotive glasses are important forensic evidence often recovered from crime scenes. Black ceramic prints on automotive glasses contains various elements in high concentrations. A portable X‐ray fluorescence spectrometer (pXRF) allows an instant and nondestructive analysis of various elements. In this study, the Bruker Tracer 5 g was used as the pXRF equipment. The NIST SRM612 glass standard was used to determine the limit of detection (LODs) of a pXRF and its optimal conditions. The acceleration voltages of 15, 30, and 50 kV were appropriate for measuring Si Kα (1.740 keV)–Ni Kα (7.473 keV), Cu Kα (8.042 keV)–Pb Lα (10.552 keV), and after Bi Kα (10.839 keV), respectively. The pXRF was used to compare 37 black ceramic prints on automotive glasses from the known source. The samples were divided into two groups: the Pb type and the Bi type. The samples were compared in pairs. The most appropriate and effective indicators for discriminating between the Pb and Bi type of black ceramic prints on automotive glasses were Zr Kα/Pb Lα and Cu Kα/Cr Kα for the Pb type, and Zr Kα/Bi Lα and Cu Kα/Crα for the Bi type, respectively. The samples were compared with other elements detected by pXRF to further discriminate them. 98.9% of all pairs were successfully discriminated. Results showed that black ceramic prints on automotive glasses are able to be discriminated by pXRF.
Di‐(2‐ethylhexyl) phthalate exposure links to inflammation and low bone mass in premenopausal and postmenopausal females: Evidence from ovariectomized mice and humans
Authors: Lai Chien‐Chih , Liu Fei‐Lan , Tsai Chang‐Youh , Wang Shu‐Li , Chang Deh‐Ming 
Published: July 2022

AbstractObjectivePhthalates induce inflammation and are ubiquitously used in daily life. We aim to study the impact of di‐(2‐ethylhexyl) phthalate (DEHP) exposure on inflammation and osteoporosis in premenopausal and postmenopausal females.MethodsFemale 8‐week‐old C57BL/6JNarl mice received an ovariectomy (OVX) or a sham operation and were fed with DEHP or vehicle by oral gavage for 4 or 8 weeks. Their femurs were isolated for micro‐computed tomography, and their serum was collected for inflammatory cytokine assays. Correlations between urinary phthalate metabolites and the lumbar spine bone mineral density (BMD) in premenopausal and postmenopausal volunteers were performed.ResultsAmong the OVX mice treated for 4 weeks, significant lower bone volume, bone volume/tissue volume, and trabecular number but significant higher trabecular bone pattern factor and structure model index were identified in the mice treated with DEHP than with vehicle. The OVX mice treated with DEHP for 4 weeks had significantly higher serum interleukin (IL)‐1β, IL‐10, IL‐17A, interferon (IFN)‐γ, tumor necrosis factor (TNF)‐α, and Dickkopf‐1 levels than those treated with vehicle. The sham mice treated with DEHP for 8 weeks showed an impaired femur trabecular microstructure and had significantly higher serum IL‐1β, IL‐6, IL‐10, IL‐17A, IFN‐γ, and TNF‐α than those treated with vehicle. DEHP metabolites were inversely correlated with the BMD of premenopausal women and the T‐score of postmenopausal women.ConclusionDEHP treatment in OVX and sham mice results in osteoporosis and impairs the microstructure of the femur trabecula through inflammation. Phthalate exposure negatively affects the bone mass in both premenopausal and postmenopausal women. Thus, long‐term avoidance is suggested.
Effects of cerebral amyloid angiopathy on the brain vasculome
Authors: Deng Wenjun , Guo Shuzhen , van Veluw Susanne J. , Yu Zhanyang , Chan Su Jing , Takase Hajime , Arai Ken , Ning MingMing , Greenberg Steven M. , Lo Eng H. , Bacskai Brian J. 
Published: July 2022

Abstractβ‐amyloid (Aβ) deposits in brain blood vessel walls underlie the vascular pathology of Alzheimer's disease (AD) and cerebral amyloid angiopathy (CAA). Growing evidence has suggested the involvement of cerebrovascular dysfunction in the initiation and progression of cognitive impairment in AD and CAA patients. Therefore, in this study, we assessed the brain vasculome in a mouse model in order to identify cerebrovascular pathways that may be involved in AD and CAA vascular pathogenesis in the context of aging. Brain endothelial cells were isolated from young and old wild‐type mice, and young and old transgenic mice expressing Swedish mutation in amyloid precursor protein and exon 9 deletion in presenilin 1 (APPswe/PSEN1dE9). Microarray profiling of these endothelial transcriptomes demonstrated that accumulation of vascular Aβ in the aging APPswe/PSEN1dE9 mouse is associated with impaired endothelial expression of neurotransmitter receptors and calcium signaling transductors, while the genes involved in cell cycle and inflammation were upregulated. These results suggest that the vascular pathology of AD and CAA may involve the disruption of neurovascular coupling, reactivation of cell cycle in quiescent endothelial cells, and enhanced inflammation. Further dissection of these endothelial mechanisms may offer opportunities to pursue therapies to ameliorate vascular dysfunction in the aging brain of AD and CAA patients.
seRNA PAM controls skeletal muscle satellite cell proliferation and aging through trans regulation of Timp2 expression synergistically with Ddx5
Authors: So Karl Kam Hei , Huang Yile , Zhang Suyang , Qiao Yulong , He Liangqiang , Li Yuying , Chen Xiaona , Sham Mai Har , Sun Hao , Wang Huating 
Published: July 2022

AbstractMuscle satellite cells (SCs) are responsible for muscle homeostasis and regeneration and lncRNAs play important roles in regulating SC activities. Here, in this study, we identify PAM (Pax7 Associated Muscle lncRNA) that is induced in activated/proliferating SCs upon injury to promote SC proliferation as myoblast cells. PAM is generated from a myoblast‐specific super‐enhancer (SE); as a seRNA it binds with a number of target genomic loci predominantly in trans. Further studies demonstrate that it interacts with Ddx5 to tether PAM SE to its inter‐chromosomal targets Timp2 and Vim to activate the gene expression. Lastly, we show that PAM expression is increased in aging SCs, which leads to enhanced inter‐chromosomal interaction and target genes upregulation. Altogether, our findings identify PAM as a previously unknown lncRNA that regulates both SC proliferation and aging through its trans gene regulatory activity.
Unexpected dispersal of Australian brush‐turkeys (Alectura lathami) in an urban landscape
Authors: Hall Matthew J. , Martin John M. , Burns Alicia L. , Hochuli Dieter F. 
Published: July 2022

AbstractAustralian brush‐turkeys (Alectura lathami) are atypical urban colonising birds due to their poor flight and dispersal ability, ground foraging and nesting behaviour, and lack of parental care for their chicks. Despite this, they have become increasingly common in urban areas in Australia, including major cities such as Sydney and Brisbane. The drivers of the brush‐turkey spread into urban areas, and the mechanisms behind their dispersal remain poorly understood due to the difficulty of tracking individual birds over multi‐year timescales. Here, we report on the long‐distance dispersal of individually tagged brush‐turkeys within greater Sydney, observed through the Big City Birds citizen science project. While 84 tagged brush‐turkeys remained within 2 km of their tagging site for the duration of observations, 9 of the tagged birds travelled 8–37 km from their tagging site without returning. This is the first time this dispersal behaviour has been observed in this species and contrasts previous observations of strong site fidelity, suggesting that further research is needed into brush‐turkey dispersal behaviour, particular in urban areas. Our observations demonstrate the value of citizen science methods for long‐term monitoring of individually marked animals, and the potential for the wing‐tagging method to be applied to other charismatic species.
Regulatory T cells and immunoglobulin E: A new therapeutic link for autoimmunity?
Authors: Palomares Oscar , Elewaut Dirk , Irving Peter M. , Jaumont Xavier , Tassinari Paolo 
Published: July 2022

AbstractAutoimmune diseases have a prevalence of approximately 7 to 9% and are classified as either organ‐specific diseases, including type I diabetes, multiple sclerosis, inflammatory bowel disease and myasthenia gravis, or systemic diseases, including systemic lupus erythematosus, rheumatoid arthritis and Sjögren's syndrome. While many advancements have been made in understanding of the mechanisms of autoimmune disease, including the nature of self‐tolerance and its breakdown, there remain unmet needs in terms of effective and highly targeted treatments. T regulatory cells (Tregs) are key mediators of peripheral tolerance and are implicated in many autoimmune diseases, either as a result of reduced numbers or altered function. Tregs may be broadly divided into those generated in the thymus (tTregs) and those generated in the periphery (pTregs). Tregs target many different immune cell subsets and tissues to suppress excessive inflammation and to support tissue repair and homeostasis: there is a fine balance between Treg cell stability and the plasticity that is required to adjust Tregs' regulatory purposes to particular immune responses. The central role of immunoglobulin E (IgE) in allergic disease is well recognized, and it is becoming increasingly apparent that this immunoglobulin also has a wider role encompassing other diseases including autoimmune disease. Anti‐IgE treatment restores the capacity of plasmacytoid dendritic cells (pDCs) impaired by IgE‐ high‐affinity IgE receptor (FcεR1) cross‐linking to induce Tregs in vitro in atopic patients. The finding that anti‐IgE therapy restores Treg cell homeostasis, and that this mechanism is associated with clinical improvement in asthma and chronic spontaneous urticaria suggests that anti‐IgE therapy may also have a potential role in the treatment of autoimmune diseases in which Tregs are involved.