bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of relative social rank within a social hierarchy on neural activation in response to familiar or unfamiliar social signals
Authors: Lee Won , Dowd Hollie N. , Nikain Cyrus , Dwortz Madeleine F. , Yang Eilene D. , Curley James P. 
Published: August 2020

AbstractCompetent social functioning of group-living species relies on the ability of individuals to detect and utilize conspecific social cues to guide behavior. Previous studies have identified numerous brain regions involved in processing these external cues, collectively referred to as the Social Decision-Making Network. However, how the brain encodes social information with respect to an individual’s social status has not been thoroughly examined. In mice, cues about an individual’s identity, including social status, are conveyed through urinary proteins. In this study, we assessed the neural cFos immunoreactivity in dominant and subordinate male mice exposed to familiar and unfamiliar dominant and subordinate male urine. The posteroventral medial amygdala was the only brain region that responded exclusively to dominant compared to subordinate male urine. In all other brain regions, including the VMH, PMv, and vlPAG, activity is modulated by a combination of odor familiarity and the social status of both the urine donor and the subject receiving the cue. We show that dominant subjects exhibit robust differential activity across different types of cues compared to subordinate subjects, suggesting that individuals perceive social cues differently depending on social experience. These data inform further investigation of neurobiological mechanisms underlying social-status related brain differences and behavior.
Single-nucleus and spatial transcriptomics of archival pancreatic cancer reveals multi-compartment reprogramming after neoadjuvant treatment
Authors: Hwang William L. , Jagadeesh Karthik A. , Guo Jimmy A. , Hoffman Hannah I. , Yadollahpour Payman , Mohan Rahul , Drokhlyansky Eugene , Van Wittenberghe Nicholas , Ashenberg Orr , Farhi Samouil , Schapiro Denis , Reeves Jason , Zollinger Daniel R. , Eng George , Schenkel Jason M. , Freed-Pastor William A. , Rodrigues Clifton , Gould Joshua , Lambden Conner , Porter Caroline , Tsankov Alexander , Dionne Danielle , Abbondanza Domenic , Waldman Julia , Cuoco Michael , Nguyen Lan , Delorey Toni , Phillips Devan , Ciprani Debora , Kern Marina , Mehta Arnav , Fuhrman Kit , Fropf Robin , Beechem Joseph , Loeffler Jay S. , Ryan David P. , Weekes Colin D. , Ting David T. , Ferrone Cristina R. , Wo Jennifer Y. , Hong Theodore S. , Aguirre Andrew J. , Rozenblatt-Rosen Orit , Mino-Kenudson Mari , Castillo Carlos Fernandez-del , Liss Andrew S. , Jacks Tyler , Regev Aviv 
Published: August 2020

ABSTRACTPancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory disease. Characterizing PDAC by mRNA profiling remains particularly challenging. Previously identified bulk expression subtypes were influenced by contaminating stroma and have not yet informed clinical management, whereas single cell RNA-seq (scRNA-seq) of fresh tumors under-represented key cell types. Here, we developed a robust single-nucleus RNA-seq (snRNA-seq) technique for frozen archival PDAC specimens and used it to study both untreated tumors and those that received neoadjuvant chemotherapy and radiotherapy (CRT). Gene expression programs learned across untreated malignant cell and fibroblast profiles uncovered a clinically relevant molecular taxonomy with improved prognostic stratification compared to prior classifications. Moreover, in the increasingly-adopted neoadjuvant treatment context, there was a depletion of classical-like phenotypes in malignant cells in favor of basal-like phenotypes associated with TNF-NFkB and interferon signaling as well as the presence of novel acinar and neuroendocrine classical-like states, which may be more resilient to cytotoxic treatment. Spatially-resolved transcriptomics revealed an association between malignant cells expressing these basal-like programs and higher immune infiltration with increased lymphocytic content, whereas those exhibiting classical-like programs were linked to sparser macrophage-predominant microniches, perhaps pointing to susceptibility to distinct therapeutic strategies. Our refined molecular taxonomy and spatial resolution can help advance precision oncology in PDAC through informative stratification in clinical trials and insights into differential therapeutic targeting leveraging the immune system.
Visualization of individual cell division history in complex tissues
Authors: Denoth-Lippuner Annina , Jaeger Baptiste N. , Liang Tong , Chie Stefanie E. , Royall Lars N. , Kruse Merit , Simons Benjamin D. , Jessberger Sebastian 
Published: August 2020

SummaryThe division potential of individual stem cells and the molecular consequences of successive rounds of proliferation remain largely unknown. We developed an inducible cell division counter (iCOUNT) that reports cell division events in human and mouse tissuesin vitroandin vivo. Analysing cell division histories of neural stem/progenitor cells (NSPCs) in the developing and adult brain, we show that iCOUNT allows for novel insights into stem cell behaviour. Further, we used single cell RNA-sequencing (scRNA-seq) of iCOUNT-labelled NSPCs and their progenies from the developing mouse cortex and forebrain-regionalized human organoids to identify molecular pathways that are commonly regulated between mouse and human cells, depending on individual cell division histories. Thus, we developed a novel tool to characterize the molecular consequences of repeated cell divisions of stem cells that allows an analysis of the cellular principles underlying tissue formation, homeostasis, and repair.HighlightsiCOUNT reports previous cell divisions in mouse and human cellsin vitroiCOUNT detects cell division biographies in complex mouse tissuesin vivoiCOUNT allows for the analysis of human neural stem/progenitor cells in human forebrain organoidsSingle cell RNA-sequencing of iCOUNT cells derived from the mouse developing cortex and human forebrain organoids identifies molecular consequences of previous rounds of cell divisionsGraphical abstract
Exploring organizational inclusion and inclusive leadership in Indian companies
Authors: Kuknor Sunaina , Bhattacharya Shubhasheesh 
Published: August 2020

Purpose
This paper aims to explore how practitioners and policymakers of inclusion perceive inclusion at workplace and define the role and behavior of leaders in fostering inclusion and struggles associated with acceptance and implementation of inclusion initiatives at the workplace.

Design/methodology/approach
In total, 20 in-depth semi-structured interviews were taken from diversity and inclusion leads, inclusion consultants and human resources experts. Each interview was transcribed and a technique of inductive content analysis was used. Broad themes and several new items emerged that define organizational inclusion and inclusive leadership.

Findings
The paper provides insights on how inclusion is perceived differently by each individual and even though organizations have policies in place, getting them into practice is yet to be accomplished. The paper finds key leadership behaviors to be practiced to foster and sustain inclusion in the workplace. Struggles and outcomes of inclusion are also discussed in the paper.

Practical implications
The study will facilitate creating awareness in practitioners and academicians who think inclusion is mostly concerned with disabled learners, which is misleading. The paper will help the concerned stakeholders to formulate inclusion policies to encourage healthy employee relations and better the organizational outcomes.

Originality/value
India is known to have a rich diverse culture. The paper explores with empirical evidence how this diversity can be leveraged through inclusion to benefit the organization. It adds to the existing body of knowledge on how inclusion and role of a leader are experienced by the employer and employee in Indian companies which is a niche area of research.
Identifying the inhibitory factors of dietary salt reduction in women: a qualitative study, Yazd, Iran
Authors: Mazloomy Mahmoodabad Seyed Saeed , Vaezi Ali Akbar , Soltani Tahere , Nadjarzadeh Azadeh , Namayandeh Seyedeh Mahdieh , Soltani Mohammad Hossein , Fallahzadeh Hossien 
Published: August 2020

Purpose
Increased dietary salt content is one of the effective factors of hypertension and a major public health challenge globally. Although the positive effects of dietary salt reduction on health are universally accepted, people can hardly reduce their salt intake. The purpose of this study is to identify the inhibitory factors of dietary salt reduction among 20–65-year-old women in Yazd City, Iran.

Design/methodology/approach
This study was conducted using a deductive content analysis approach based on the communication for the behavioral impact (COMBI) framework. The purposeful sampling method was applied with maximum variation in terms of different educational levels, age groups, occupational status and residential areas to select the participants. Snowball sampling was used to select health-care professionals. Furthermore, semi-structured interviews and focus-group discussions were conducted with 31 local women and 11 health-care professionals working in the City until data saturation was achieved. Data were analyzed using Graneheim and Landsman’s method.

Findings
After data analysis, 617 initial codes were extracted over the perceived barriers. After merging similar codes, 223 codes were extracted. The barriers were classified into five main categories of family, personal, organizational, educational and socio-cultural barriers.

Originality/value
Based on the COMBI framework, the results demonstrated that the most important barriers for reducing salt intake were negative attitude toward restrictions on dietary salt intake, insufficient and incorrect beliefs about the health risk of salt, lack of family support, inadequate health literacy and low self-efficacy in Yazd City. Among these barriers, lack of family support was considered as the most effective factor in reducing salt consumption. So, by focusing on this area and providing the community with the required education, the amount of salt consumed by families can be reduced.
Financial uncertainty valuation: does Shariah compliant screening matter?
Authors: Alahouel Fatma , Loukil Nadia 
Published: August 2020

Purpose
This paper aims to investigate the financial uncertainty vary according to different financial assets type: conventional and Islamic.

Design/methodology/approach
Common factors are related to risk or known information. For this, the authors use general dynamic factor model to extract common variation between both types of indexes. Then they calculate stochastic volatility for each idiosyncratic component. They also carry out the study on three different family indexes respectively, Dow Jones, S&P and MSCI indexes, for the period going from January 1, 2008 to June 30, 2018. Through a comparison analysis with uncertainty index designed for conventional assets, the authors examine the similarity between the two indexes via mean, median and variance tests. They decrypt the interrelation between them by using OLS linear regression, vector autoregressive model.

Findings
The findings show that Islamic assets uncertainty is different from conventional uncertainty level. This difference can be due to the Shariah screening and the prohibition of gharar. The main findings suggest that Islamic financial uncertainty is lower than conventional one. The OLS results prove that conventional financial uncertainties have no impact on their Islamic counterparts. In addition, Islamic financial uncertainty appears to have no significant influence on conventional one exception for Dow Jones pair. Overall, the findings support the decoupling hypothesis in term of uncertainty only for SP and MSCI indexes.

Practical implications
Risk averse investors can find their claim in Shariah-compliant assets, as it offers a low level of financial uncertainty. A portfolio manager may benefit from the long run non-association in uncertainty between Islamic and conventional assets especially in time of crisis.

Originality/value
In this work, the authors measured financial uncertainty differently and take into account the specific features of each index type to improve the results quality.
Investigating medical professionals' continuance intention of the cloud-based e-learning system: an extension of expectation–confirmation model with flow theory
Authors: Cheng Yung-Ming 
Published: August 2020

PurposeThe purpose of this study is to propose an integrated model based on expectation–confirmation model (ECM), flow theory and human–organization–technology fit framework to examine whether human, organizational and technology factors as antecedents to medical professionals' beliefs can affect their continuance intention of the cloud-based e-learning system.Design/methodology/approachSample data for this study were collected from medical professionals at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 368 (73.6%) useable questionnaires were analyzed using structural equation modeling in this study.FindingsSynthetically speaking, human, organizational and technology factors, as antecedents to medical professionals' continuance intention of the cloud-based e-learning system have been examined, and the results strongly support the research model with all hypothesized links being significant.Originality/valueParticularly, it is worth mentioning that the application of capturing both ECM and flow theory for completely explaining three types of factors (i.e. human, organizational and technology factors) as external variables to medical professionals' cloud-based e-learning continuance intention is well documented, that is, information systems (IS) and nonIS determinants are simultaneously evaluated, and extrinsic and intrinsic motivators are both taken into consideration in this study's theoretical development of medical professionals' cloud-based e-learning continuance intention to acquire a more comprehensive and robust analysis.
Impact of economic sentiment and economic policy uncertainty on travel and leisure stock return
Authors: Hadood Abobaker Al.Al. , Irani Farid 
Published: August 2020

PurposeThis paper considers the role of economic sentiment and economic policy uncertainty (both domestic and European) in explaining the changes in the contemporaneous and future travel and leisure stock index returns in top European Union (EU) tourism destinations, namely, in France, Germany, Spain and the UK.Design/methodology/approachThe authors conducted the ordinary least square (OLS) regression estimations to investigate the impact of changes in economic sentiment and economic policy uncertainty on travel and leisure stock returns. Furthermore, the authors used predictive regressions to determine whether economic sentiment and economic policy uncertainty are useful predictors over the short- or medium-term for travel and leisure stock returns.FindingsEmpirical results revealed that, in France and Spain, the changes in regional economic sentiments predominantly and positively affected travel and leisure stock index returns. Also, results indicated that changes in European economic sentiment have a strong positive effect on the future travel and leisure stock returns in Spain and the UK over the short run, while in France, changes in European economic policy uncertainty have a weak negative effect on the future travel and leisure stock returns over the medium-term.Research limitations/implicationsThis paper provides valuable practical implications for investors who trade travel and leisure stocks. Traders can use economic sentiment and economic policy uncertainty to establish arbitrageur strategies.Originality/valueThis study is the first to examine the effects of economic sentiment and economic policy uncertainty (both domestic and European) on contemporaneous and future travel and leisure stock returns in a top European tourism destination.
Attracting and recruiting quality talent: firm perspectives
Authors: Adeosun Oluyemi Theophilus , OHIANI Adeku Salihu 
Published: August 2020

PurposeUnderstanding matching patterns and determinants of attracting quality talents is an under-researched area, especially from a firm perspective. Firm’s recruitment strategies have an impact on the sorting patterns in the labour market which remains undetermined. This paper aims to explore the drivers of attracting and recruiting quality talents. Also, the role of policies including the national labour laws, industry norms and localised firm policies have on hiring practices and drivers in a developing country.Design/methodology/approachThis study is underpinned by network theory, equity theory, social exchange theory and resource-based theory. The authors leveraged on a mixed methodology that is a structured questionnaire administered to 200 firm representatives in Lagos and interviews with key informants from the demand side for labour.FindingsThe study revealed that firms can leverage on salary, brand name, referral, job security as core factors in attracting and recruiting quality talents. Also, digitisation is a key strategy leveraged on attracting and recruiting quality talents. Techniques such as the use of social media, traditional media, online interviews, physical interviews have proven to help in selecting quality talents.Originality/valueSpecifically, the paper throws light on how firms use different recruitment channels for hiring workers, and how the use of these channels affects the quality of matches. Furthermore, the role of social networks, wages and benefits for firm recruitment and matching efficiency was well highlighted.
Self‐compatible blueberry cultivars require fewer floral visits to maximize fruit production than a partially self‐incompatible cultivar
Authors: Kendall Liam K. , Gagic Vesna , Evans Lisa J. , Cutting Brian T. , Scalzo Jessica , Hanusch Yolanda , Jones Jeremy , Rocchetti Maurizio , Sonter Carolyn , Keir Matthew , Rader Romina 
Published: August 2020

Abstract

Effective pollination is a complex phenomenon determined by the outcome of the interaction between pollen transfer and a plants' pollinator dependency, yet most studies investigate pollinator effectiveness without consideration of plant mating system differences.

We investigated pollinator effectiveness in three types of blueberry that differed in their degree of pollinator dependency as measured by plant mating system: two self‐compatible highbush cultivars and one partially self‐incompatible rabbiteye cultivar. We quantified pollinator effectiveness as a function of the fruit set and fruit weight resulting from single and multiple floral visits (2–15 visits), in comparison with estimates of fruit set and fruit weight resulting from experimental pollination treatments (open‐pollination, cross‐pollination and self‐pollination).

Single‐visit effectiveness of fruit set was similar across pollinator taxa but considerably higher in both self‐compatible cultivars. The probability of fruit set in all three blueberry types improved in response to an increasing number of visits, but this relationship was steeper in self‐compatible cultivars: >90% probability of fruit set was achieved in three to five visits. In the self‐incompatible rabbiteye cultivar, 58% fruit set was achieved with 15 visits. Multiple visits improved fruit weight by 27%–48% in self‐compatible cultivars, but there was no relationship in rabbiteye. Pollination deficits in fruit set and fruit weight due to self‐pollination were most pronounced in rabbiteye.

Synthesis and applications. Improved understanding of cultivar‐level mating system differences in plants will inform pollination planning and management in agroecosystems. Self‐compatible (highbush) cultivars require less floral visitation to maximize fruit production. Therefore, these cultivars may be best suited to landscapes in which pollinator abundance is low, such as intensive and/or simple landscapes. In contrast, self‐incompatible (rabbiteye) cultivars may benefit from the implementation of mixed‐cultivar crop row plantings to facilitate cross‐pollination.
What is an Australian Job Worth?
Authors: Oslington Paul 
Published: August 2020

AbstractThe value of a job is an important issue for management, human resources, law and public policy, yet we lack good empirical estimates of this value. This article presents a theoretical framework for valuing jobs and estimates the average economic value of an Australian job at approximately $104,000. However, judges awarding compensation for unfair dismissal under the Fair Work Act implicitly value a job at around $10,000. If the economic value estimate is correct then workers place a high value on keeping their job, which has important human resources management implications, such as worker commitment and risk‐taking.
Bidirectional longitudinal relationship between Chinese children's compounding awareness and vocabulary knowledge from Grades 3 to 6
Authors: Xie Ruibo , Wu Xinchun , Nguyen Thi Phuong , Zhao Ying , Feng Jie 
Published: August 2020

BackgroundThis study examined the developmental relationship between Chinese children's compounding awareness and vocabulary knowledge following a 4‐year longitudinal design.MethodsA test battery that included measures of vocabulary knowledge, compounding awareness, nonverbal IQ, phonological awareness, rapid automatized naming, orthographic awareness and word reading was administered to 142 Chinese‐speaking students in Grade 3 (T1). In addition, vocabulary knowledge and compounding awareness were followed in Grades 4 (T2) and 6 (T3).ResultsControlling for nonverbal IQ, phonological awareness, rapid automatized naming, orthographic awareness and word reading at the initial level, the structural equation modeling results showed that children's compounding awareness made a significant direct contribution to vocabulary knowledge from T1 to T2. Children's vocabulary knowledge at T1 predicted compounding awareness at T2. However, the paths from vocabulary knowledge at T2 to compounding awareness at T3, and compounding awareness at T2 to vocabulary knowledge at T3, respectively, were not significant. The results suggest a reciprocal relationship between children's compounding awareness and vocabulary knowledge from Grades 3 to 4 in Chinese.ConclusionsThese findings indicate the developmental bootstrapping relationship between Chinese students' compounding awareness and vocabulary acquisition in the middle stages of primary school.
Patients discharged from higher‐quality skilled nursing facilities spend more days at home
Authors: Simning Adam , Orth Jessica , Temkin‐Greener Helena , Li Yue 
Published: August 2020

AbstractObjectiveTo evaluate the association of skilled nursing facility (SNF) quality with days spent alive in nonmedical settings (“home time”) after SNF discharge to the community.Data SourcesSecondary data are from Medicare claims for New York State (NYS) Medicare beneficiaries, the Area Health Resources File, and Nursing Home Compare.Study DesignWe estimate home time in the 30‐ and 90‐day periods following SNF discharge. Two‐part zero‐inflated negative binomial regression models characterize the association of SNF quality with home time.Data Extraction MethodsWe use Medicare claims data to identify 25 357 NYS fee‐for‐service Medicare beneficiaries aged 65 years and older with an SNF admission for postacute care who were subsequently discharged to home in 2014.Principal FindingsFollowing 30 and 90 days after SNF discharge, the average home time is 28.0 (SD = 6.1) and 81.6 (SD = 20.2) days, respectively. A number of patient‐ and SNF‐level factors are associated with home time. In particular, within 30 and 90 days of discharge, respectively, patients discharged from 2‐ to 5‐star SNFs spend 1.2‐1.5 (P < .001) and 3.2‐4.3 (P < .001) more days at home than those discharged from 1‐star (lowest quality) SNFs.ConclusionsImproved understanding of what is contributing to differences in home time could help guide efforts into optimizing post‐SNF discharge outcomes.