bluuebunny/crossref_metadata_2025_split huggingface dataset:
Differences in the genetic structure between and within two landlocked Ayu groups with different migration patterns in Lake Biwa revealed by environmental DNA analysis
Authors: Tsuji Satsuki , Shibata Naoki , Sawada Hayato , Watanabe Katsutoshi 
Published: April 2022

AbstractAyu,Plecoglossus altivelis, is largely an annual amphidromous fish, although a landlocked population lives in Lake Biwa, the largest lake in Japan. The landlocked population comprises two migrant groups, spring migrants and autumn migrants, which run to inlet rivers from the lake at different seasons. We used environmental DNA (eDNA) analysis, which is reported to be more sensitive and cost-effective than capture surveys, to clarify the genetic structure of this landlocked Ayu population with different migration patterns in Lake Biwa. We took water samples in 11 inlet rivers in the spring and autumn for two years in a row and quantitatively detected a total of 265 haplotypes of the mitochondrial D-loop region. The pairwise fixation index (FST) value and haplotype diversity indicated that there were genetic differences between the two migrant groups in their respective rivers, and theFSTvalues were negatively related to latitude and the presence of artificial fish release. Additionally, the isolation by distance within each migrant group was observed when the lake was divided into the east and west sides. These findings show that the landlocked Ayu population in Lake Biwa has the genetic structure associated with migration patterns and geographical distance. This study demonstrates that the eDNA approach will be effective for conducting a large-scale investigation of genetic structure beyond simple presence/absence tests.
Causal contributions of the domain-general (Multiple Demand) and the language-selective brain networks to perceptual and semantic challenges in speech comprehension
Authors: MacGregor Lucy J. , Gilbert Rebecca A. , Balewski Zuzanna , Mitchell Daniel J. , Erzinclioglu Sharon W. , Rodd Jennifer M. , Duncan John , Fedorenko Evelina , Davis Matthew H. 
Published: April 2022

1.AbstractListening to spoken language engages domain-general Multiple Demand (MD, fronto-parietal) regions of the human brain, in addition to domain-selective (fronto-temporal) language regions, particularly when comprehension is challenging. However, there is limited evidence that the MD network makes a functional contribution to core aspects of comprehension. In a behavioural study of volunteers (n=19) with chronic brain lesions, but without aphasia, we assessed the causal role of these networks in perceiving, comprehending and adapting to challenging spoken sentences. A first task measured word report for acoustically degraded (noise-vocoded) sentences before and after training. Participants with greater damage to MD but not language regions required more vocoder channels to achieve 50% word report indicating impaired perception. Perception improved following training, reflecting adaptation to acoustic degradation, but perceptual learning was unrelated to lesion location or extent. A second task used sentence coherence judgements to measure the speed and accuracy of comprehension of spoken sentences using lower-frequency meanings of semantically ambiguous words. Comprehension accuracy was high and unaffected by lesion location or extent. The availability of the lower-frequency meaning, as measured in a subsequent word association task, increased following comprehension (word-meaning priming). Word-meaning priming was reduced for participants with greater damage to language but not MD regions. We conclude that language and MD networks make dissociable contributions to challenging speech comprehension: using recent experience to update word meaning preferences depends on language specialised regions, whereas the domain-general MD network plays a causal role in reporting words from degraded speech.
Sticky market webs of connection – human and nonhuman market co-codification dynamics across social media
Authors: Schöps Jonathan David , Reinhardt Christian , Hemetsberger Andrea 
Published: April 2022

PurposeDigital markets are increasingly constructed by an interplay between (non)human market actors, i.e. through algorithms, but, simultaneously, fragmented through platformization. This study aims to explore how interactional dynamics between (non)human market actors co-codify markets through expressive and networked content across social media platforms.Design/methodology/approachThis study applies digital methods as cross-platform analysis to analyze two data sets retrieved from YouTube and Instagram using the keywords “sustainable fashion” and #sustainablefashion, respectively.FindingsThe study shows how interactional dynamics between (non)human market actors, co-codify markets across two social media platforms, i.e. YouTube and Instagram. The authors introduce the notion of sticky market webs of connection, illustrating how these dynamics foster cross-platform market codification through relations of exteriority.Research limitations/implicationsResearch implications highlight the necessity to account for all involved entities, including digital infrastructure in digital markets and the methodological potential of cross-platform analyses.Practical implicationsPractical implications highlight considerations managers should take into account when designing market communication for digital markets composed of (non)human market actors.Social implicationsSocial implications highlight the possible effects of (non)human market co-codification on markets and consumer culture, and corresponding countermeasures.Originality/valueThis study contributes to an increased understanding of digital market dynamics by illuminating interdependent market co-codification dynamics between (non)human market actors, and how these dynamics (de)territorialize digital market assemblages through relations of exteriority across platforms.
Mindfulness practice improves managers’ job demands-resources, psychological detachment, work-nonwork boundary control, and work-life balance – a randomized controlled trial
Authors: Mellner Christin , Osika Walter , Niemi Maria 
Published: April 2022

PurposeContemporary workplaces undergo frequent reorganizations in order to stay competitive in a working life characterized by globalization, digitalization, economic uncertainty, and ever-increased complexity. Managers are in the frontline of these challenges, leading themselves, organizations and their employees in high stress environments. This raises questions on how to support managers’ work-life sustainability, which is crucial for organizational sustainability. Mindfulness has been related to enhanced capacities to cope with challenges that are associated with organizational change. The authors evaluated short- and long-term effects of an eight-week mindfulness-based intervention in a company setting, which was going through reorganization.Design/methodology/approachForty managers (42.5% males), mean age 54.53 (SD 5.13), were randomized to the mindfulness intervention or a non-active wait-list control. Self-report data were provided on individual sustainability factors in a work context: job demands and resources, psychological detachment, i.e. possibilities for letting go of work-related thoughts during leisure, control over work-nonwork boundaries, work-life balance, and mindfulness at baseline, postintervention, and at 6-month follow-up.FindingsLinear mixed models (LMMs) analysis (all ps < 0.005 to 0.05) showed that the intervention group had a larger decrease in job demands and a smaller decrease in job resources, a larger increase in psychological detachment, work-nonwork boundary control, work-life balance, and mindfulness from baseline to postintervention when compared with the reference group. These initial effects were sustained at 6-month follow-up.Originality/valueThe study provides evidence that mindfulness practice can enhance managers’ long-term capacity to cope with challenging working conditions, and increase their work-life sustainability in times of organizational change and disruption.
Traceability systems as a differentiation tool in agri-food value chains: a framework for public policies in Latin America
Authors: Hallak Juan Carlos , Tacsir Andrés 
Published: April 2022

PurposeThe goal of this paper is to develop a classification of traceability systems that will help academics and policymakers think of them as a tool for differentiation in agri-food value chains.Design/methodology/approachBased on the analysis of case studies and a literature review, the authors develop a conceptual framework to classify traceability systems based on two dimensions: their scope in the value chain (individual vs integrated) and the type of information they contain (basic vs advanced).FindingsIntegrated traceability systems provide a variety of benefits vis-à-vis individual systems as a tool to achieve greater product differentiation by meeting current and latent requirements from foreign countries' governments and consumers. Also they serve as a platform for including advanced (vis-à-vis basic) information into the system.Research limitations/implicationsA series of studies would be required to quantify the relative costs of different traceability systems and compare them on a cost-benefit basis. Nevertheless, since integrated traceability systems are subject to coordination failures, significant public focus and efforts should be placed on the potential promotion of those systems.Originality/valueThis paper provides a novel classification of traceability systems that distinguishes them according to scope and information content.
Why do they go to the peripheries? Studying the relations between the real estate market and coworking spaces in the peripheral areas of Germany
Authors: Vogl Thomas , Micek Grzegorz 
Published: April 2022

PurposeThe study was designed to investigate the bidirectional causation between the real estate market characteristics (residential property prices/rents (including PTR), office rents) and the rise of coworking spaces (CSs) in the peripheral areas of Germany.Design/methodology/approachBased on the desk research, the authors constructed their own database of 1,201 CSs. The authors gathered data on the residential and office prices and rents on a district level. To identify real market differences between districts with and without CSs, the authors applied thet-test for independent samples.FindingsThe second-highest number of CSs were found to operate in the office market peripheries. This phenomenon should be explained by a search for lower office rents, which CSs seek. Most CSs in the peripheral areas of Germany were only recently established in tourist-oriented regions in the south and north of Germany. In this paper, the authors confirmed that the strength of peripheral CSs lies in the hybridity of their operations: for the majority of CSs, running a CS is a non-core business. The authors argue that the role of CSs is rather limited in attracting real estate investors and boosting the real estate market in the peripheral areas of Germany.Practical implicationsThe research shows that peripheral locations are attracting CSs to significant extent. The study shows that CSs can be part of corporate real estate or workplace strategies. As the majority of peripheral CSs are located in tourism areas, the subletting of vacant spaces could be a lucrative business model for hotels, particularly in the times of pandemics. Therefore, further research should focus on the role of tourist areas in the implementation of CSs model.Originality/valueThe focus of this study (CSs in peripheral areas) is original. Additionally, applying the real estate perspective to study the location of CSs is novel as well.
The use of clay modeling to increase high school biology vocabulary learning
Authors: Bailey Robert , Kim Daesang , Bochenko Michael J. , Yang Changwoo , Dees Dianne C. , Jung Jiyoon 
Published: April 2022

PurposeThe paper explored the benefits as well as the concerns of vocabulary learning with clay modeling in terms of practical and pedagogical implications for creating positive learning experiences.Design/methodology/approachA mixed-methods design was conducted to examine the effectiveness of vocabulary learning with clay modeling practices in lower socioeconomic status schools.FindingsAlthough test results showed no statistically significant differences between the groups, the clay modeling group did improve vocabulary acquisition similar to the sentence writing group. The students were actively engaged with hands-on activities using the clay and also demonstrated positive emotional, behavioral and physical experiences.Research limitations/implicationsThe addition of the clay modeling provided an opportunity for kinesthetic learning but created a high extraneous cognitive load with the challenges incurred through the use of clay.Practical implicationsThe challenges can be reduced by 1) adopting appropriate instructional strategies to design and implement effective clay modeling activities for students and teachers, 2) providing training or professional workshop development for teachers and 3) ongoing practical support and assistance for students.Social implicationsExploring the use of kinesthetic instructional practice at the high school level may prove beneficial since clay modeling is frequently used effectively at lower grade levels.Originality/valueThe current study explores the added value of clay modeling for high school students’ biology vocabulary learning in a lower socioeconomic status school from practical and pedagogical perspectives.
Trust and knowledge sharing in project teams in construction industry of Pakistan: moderating role of perceived behavioral control
Authors: Haq Saif Ul , Khan Kamran Aziz , Hafeez Hira , Chughtai Muhammad Ahsan 
Published: April 2022

PurposeThis research aims to study the relationship between trust and knowledge sharing intention. Furthermore, the overarching objective of this study also determines the moderating effect of Perceived Behavioral Control on this relationship.Design/methodology/approachStructural Equation Modelling (SEM) was applied using Smart PLS 3.3 to analyze the data.FindingsThe results of this study reveal that Perceived Trustworthiness and Propensity to Trust positively affect Explicit and Tacit knowledge sharing intention. Perceived behavioral control was also found to positively moderate the relationship between perceived trustworthiness and tacit knowledge sharing intention.Originality/valueThis study has provided evidence that trust among the construction project team members leads to an increase in the knowledge sharing intention among project team members.
Understanding online shopping hate in social commerce context: antecedents and consequences of psychological reactance
Authors: Jamal Yasir , Islam Tahir , Shahid Zubair Ali 
Published: April 2022

PurposeThis study explores the underlying mechanism of psychological reactance that leads to online shopping hate in social commerce. Based on self-congruity and psychological reactance theory, this study examines the antecedents (symbolic, functional and emotional incongruence) and consequences (online shopping hate) of psychological reactance among online users toward online shopping. Moreover, this study takes trustworthiness as a moderator in the relationship between attitude ambivalence and psychological reactance.Design/methodology/approachData were collected from online users.FindingsThe results show that symbolic-incongruence and functional-incongruence are responsible for attitude ambivalence, resulting in high psychological reactance. In addition, the study’s findings reveal that psychological reactance is positively linked with online shopping hate. This study extends and contributes to the self-congruence theory and empirically examines the influence of emotional incongruence. The moderating results reveal that trustworthiness moderated the relationship between attitude ambivalence and psychological reactance. The study findings are helpful for marketing managers to develop social commerce strategies.Research limitations/implicationsBecause of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further.Practical implicationsThe study findings are helpful for marketing managers to develop social commerce strategies.Originality/valueThis study explains the underlying mechanism of brand hate through psychological reactance.
Estimating the Impact of Medicaid Expansion and Federal Funding Cuts on FQHC Staffing and Patient Capacity
Authors: JIAO SHIYIN , KONETZKA R. TAMARA , POLLACK HAROLD A. , HUANG ELBERT S. 
Published: April 2022

Policy Points
In the preexpansion period, federally qualified health centers (FQHCs) in Medicaid expansion states were significantly different from those in nonexpansion states. This gap widened as revenues in expansion states continued to grow at a faster rate after the expansion.
If Medicaid expansion had occurred nationwide, FQHCs’ revenue and capacity could have increased substantially. Over time, Medicaid could play a bigger role as it becomes a more stable funding source to allow for capital investments.
Section 330 grants appear to have a larger impact on access to care. Given the varying levels of reliance on Medicaid, investing through federal grants might be more effective and equitable.
ContextThe Health Resources and Services Administration's Health Center Program (HCP) plays a critical role as the national ambulatory safety net, delivering services to patients in medically underserved areas, regardless of their ability to pay. As the program has grown, health policy initiatives may have altered access to care for the underserved population. Understanding how federally qualified health centers (FQHCs) have been affected by past policies is important for anticipating the effects of future policies.MethodsBy analyzing a national data set from the Uniform Data System, we examined, using two sets of random effects regressions, the potential impact of alternative policy actions affecting FQHCs. Our primary equation models the number of full‐time equivalent staff, of patients served, and of visits provided in the subsequent year as a function of Medicaid revenues, Section 330 grants, and other revenues. Our secondary equation is a difference‐in‐differences analysis that models Medicaid revenues as a function of the states’ status of Medicaid expansion.FindingsThe expansion of Medicaid in nonexpansion states could have increased Medicaid revenues by 138%, staffing by 25%, and patients’ visits by 24% in 2017. Compared to the impact of a “repeal” of Medicaid expansion, the percentage of reductions in staffing would be similar to those predicted by a 50% cut in Medicaid revenues or in Section 330 grants. On a dollar‐for‐dollar basis, the effects of one dollar of Section 330 grants were more than double that of one dollar of Medicaid revenue.ConclusionsBoth Medicaid eligibility and Section 330 funding support are important to the HCP, and Section 330 grants are particularly closely related to staffing and the provision of services. States’ decisions not to participate in or to repeal Medicaid expansion, to reduce Medicaid payment rates, and federal funding cuts all could have a negative impact on FQHCs, resulting in thousands of low‐income patients losing access to primary care.
Management of maternal pulse and blood pressure abnormalities during labour and childbirth: evidence‐based algorithms for intrapartum care decision support
Authors: Haddad SM , Souza RT , Cecatti JG ,   the WHO Intrapartum Care Algorithms Working Group
Published: April 2022

AimsTo develop evidence‐based clinical algorithms for assessment and management of abnormal maternal pulse and blood pressure during the intrapartum period.PopulationLow risk singleton, term, pregnant women in labour.SettingInstitutional births in low‐ and middle‐income countries.Search strategyA review of the literature was performed to retrieve evidence‐based guidelines, systematic reviews, and papers on maternal pulse and blood pressure during labour. We searched a number of international clinical guidelines and PubMed using the corresponding key terms in November 2018 and updated the search in May 2020.Case scenariosFour common intrapartum case scenarios of abnormal pulse and blood pressure were identified for which algorithms were developed: hypertension, hypotension, tachycardia and bradycardia. Algorithms were constructed after reviewing guidelines and relevant papers, with input from a panel of experts. Thresholds for upper and lower limits of normal maternal pulse and blood pressure measurements are defined, evidence‐based interventions for the initial management of abnormal parameters are described (resuscitation and monitoring) and guidance is provided on exploration of the potential causes for each case scenario, with links to pathways for their management.ConclusionsEvidence‐based algorithms to support the identification, and management of deviations in pulse and blood pressure during intrapartum care have been developed for hypertension, hypotension, tachycardia and bradycardia. The algorithms focus on initial resuscitation and monitoring, with an exploration of causes and early identification of underlying maternal conditions. These algorithms will help provide a standardised approach to investigation and management of these abnormal parameters to guide clinical practice.Tweetable abstractAlgorithms for abnormal maternal pulse and blood pressure during labour allow standardised approach to early identification and management of complications.Tweetable abstract
Constructing evidence‐based clinical intrapartum care algorithms for decision‐support tools
Authors: Bonet M , Ciabati L , De Oliveira LL , Souza R , Browne JL , Rijken M , Fawcus S , Hofmeyr GJ , Liabsuetrakul T , Gülümser Ç , Blennerhassett A , Lissauer D , Meher S , Althabe F , Oladapo OT ,   the WHO Intrapartum Care Algorithms Working Group
Published: April 2022

AimTo describe standardised iterative methods used by a multidisciplinary group to develop evidence‐based clinical intrapartum care algorithms for the management of uneventful and complicated labours.PopulationSingleton, term pregnancies considered to be at low risk of developing complications at admission to the birthing facility.SettingHealth facilities in low‐ and middle‐income countries.Search strategyLiterature reviews were conducted to identify standardised methods for algorithm development and examples from other fields, and evidence and guidelines for intrapartum care. Searches for different algorithm topics were last updated between January and October 2020 and included a combination of terms such as ‘labour’, ‘intrapartum’, ‘algorithms’ and specific topic terms, using Cochrane Library and MEDLINE/PubMED, CINAHL, National Guidelines Clearinghouse and Google.Case scenariosNine algorithm topics were identified for monitoring and management of uncomplicated labour and childbirth, identification and management of abnormalities of fetal heart rate, liquor, uterine contractions, labour progress, maternal pulse and blood pressure, temperature, urine and complicated third stage of labour. Each topic included between two and four case scenarios covering most common deviations, severity of related complications or critical clinical outcomes.ConclusionsIntrapartum care algorithms provide a framework for monitoring women, and identifying and managing complications during labour and childbirth. These algorithms will support implementation of WHO recommendations and facilitate the development by stakeholders of evidence‐based, up to date, paper‐based or digital reminders and decision‐support tools. The algorithms need to be field tested and may need to be adapted to specific contexts.Tweetable abstractEvidence‐based intrapartum care clinical algorithms for a safe and positive childbirth experience.