bluuebunny/crossref_metadata_2025_split huggingface dataset:
Shell protein composition specified by NEAT1 domains dictates the formation of paraspeckles as distinct membraneless organelles
Authors: Takakuwa Hiro , Yamazaki Tomohiro , Souquere Sylvie , Adachi Shungo , Yoshino Hyura , Fujiwara Naoko , Yamamoto Tetsuya , Natsume Tohru , Nakagawa Shinichi , Pierron Gerard , Hirose Tetsuro 
Published: May 2023

AbstractMany membraneless organelles (MLOs) formed through phase separation play crucial roles in various cellular processes. Although these MLOs co-exist in cells, how they maintain their independence without coalescence or engulfment remains largely unknown. Here, we investigated the molecular mechanism by which paraspeckles with core-shell architecture scaffolded by NEAT1_2 lncRNAs exist as distinct MLOs. We identified NEAT1 deletion mutants that assemble paraspeckles that are incorporated into nuclear speckles. Several paraspeckle proteins, including SFPQ, HNRNPF, and BRG1, prevent this incorporation and thus contribute to the segregation of paraspeckles from nuclear speckles. Shell localization of these proteins in the paraspeckles, which is determined by NEAT1_2 lncRNA domains, is required for this segregation process. Conversely, U2-related spliceosomal proteins are involved in internalizing the paraspeckles into nuclear speckles. This study shows that the paraspeckle shell composition dictates the independence of MLOs in the nucleus, providing insights into the importance of the shell in defining features and functions of MLOs.
Adolescent pregnancy is associated with child undernutrition: systematic review and meta-analysis
Authors: Welch Caroline , Wong Christopher K , Lelijveld Natasha , Kerac Marko , Wrottesley Stephanie V 
Published: May 2023

AbstractAdolescent pregnancy is associated with poor foetal growth and development which increase the risk of childhood wasting and underweight. However, evidence on how young maternal age affects childhood anthropometry beyond the neonatal period is limited. This systematic review and meta-analysis examined associations between adolescent pregnancy and child wasting and underweight and explored potential underlying social and biological factors. Peer-reviewed literature published in English since 1990 was systematically searched. Eligible studies presented data on wasting and/or underweight in children (≤59 months) born to adolescent mothers (10-19, or ≤24 years where applicable) from low- and middle-income countries. Data extraction used a predefined extraction sheet. Both meta-analysis and qualitative synthesis were performed. Of 92 identified studies, 57 were included in the meta- analysis. The meta-analysis showed that children born to adolescent versus adult mothers were at a higher risk of moderate (OR: 1.12, 95% CI: 1.00-1.26 p=0.04) and severe underweight (OR: 1.21, 95% CI: 1.08-1.35 p<0.01). Associated risk of wasting was not statistically significant: (OR: 1.05, 95% CI: 0.98-1.12 p=0.17); severe wasting (OR: 1.16, 95% CI: 0.68-1.96 p=0.59). These findings were supported by the qualitative synthesis. Evidence on the potential role of biological/social factors was limited, but suggested an intermediary role of maternal nutritional status which warrants further exploration. Particularly in contexts where adolescent pregnancy remains common, interventions to both delay adolescent pregnancy and improve adolescent nutritional status could help reduce the risk of undernutrition in children and contribute to breaking the intergenerational cycle of malnutrition.
Dopamine D2 Receptors modulate hippocampal theta rhythm through somatostatin interneurons
Authors: Tuduri Pola , Valjent Emmanuel , Ster Jeanne 
Published: May 2023

AbstractSpatiomolecular mapping of hippocampal dopamine receptor D2 (D2R) neurons revealed that in addition to hilar mossy cells, hippocampal SST-INs and, to a lesser extent, PV-INs expressed D2R. However, while the role of D2R signaling onto mossy cells has been characterized, the consequence of D2R activation onto hippocampal SST-INs and PV-INs is unknown. By combining pharmacological approaches and patch-clamp recordings in organotypic hippocampal slices from control or mice lackingDrd2selectively in SST-INs and PV-INs, we found that D2R activation increase excitability in SST-INs while it decreases in PV-INs. These D2R-mediated changes rely on distinct intracellular pathways, involving the non-canonical β- arrestin-dependent pathway in SST-INs and the G protein-dependent pathway in PV-INs. Finally, our study also unveiled that D2R activation modulates theta oscillations through SST- INs D2R signaling.
An optimization approach to financial and operational viabilities of spare aircraft
Authors: Bazargan Massoud , Orhan Ilkay 
Published: May 2023

Purpose
The airlines cancel their flights frequently because of factors that they do not have any control over. Spare aircraft can potentially address some of the issues caused by cancelled flights. This paper aims to offer an exploratory study into the financial and operational viabilities of spare aircraft for airlines.

Design/methodology/approach
Mathematical models are proposed to evaluate the financial and operational metrics under different scenarios. The models are applied to Delta, Spirit and Southwest Airlines with different business models. All data are extracted from US Bureau of Transport Statistics, Cirium Diio Mi and CAPA databases. The IBM Cplex solver was used to execute the binary linear program models.

Findings
The research revealed that factors such as airline network size, hub and spoke structure and average weekly flight cancellations are crucial in establishing the need for spare aircraft. For the number of weekly cancellations, there exist break-even values that reasonably justify spare aircraft.

Practical implications
Models can be customized and applied to other modes of transportations.

Originality/value
This study is the first to consider the use of spare aircraft in airlines from both financial and operational perspectives within the scope of the mathematical model. The analyses identify financial break-even points for a number of spare aircraft and their home base locations for three airlines. Operational utilization of spare aircraft is studied and contrasted with financial metrics.
Gender stereotype perception, perceived social support and self-efficacy in increasing women's entrepreneurial intentions
Authors: Hamdani Nizar Alam , Ramadani Veland , Anggadwita Grisna , Maulida Ghina Sulthanah , Zuferi Rasim , Maalaoui Adnane 
Published: May 2023

PurposeWomen play an essential role in entrepreneurship because they have been able to make social and economic contributions in many countries. However, women continue encountering numerous difficulties when engaging in entrepreneurial activities, particularly from a societal perspective. Therefore, it is necessary to study the underlying factors influencing women's entrepreneurial intentions that lead to their success in entrepreneurship. This study examines gender stereotype perceptions, perceived social support and self-efficacy in women's entrepreneurial intentions in Batik micro, small and medium enterprises (MSMEs) in West Java, Indonesia.Design/methodology/approachThis study used a quantitative method by randomly distributing questionnaires to women entrepreneurs in the MSME sector in the batik craft industry in the Trusmi area, West Java, Indonesia. The research questionnaire was completed by 150 female entrepreneurs, and a structural equation model-partial least squares (PLS) was employed to examine the hypotheses proposed in this study.FindingsThe findings of this study revealed that gender stereotype perception and perceived social support have a positive and significant effect on self-efficacy. Gender stereotype perceptions affect women's entrepreneurial intentions, both directly and mediated by self-efficacy. Meanwhile, perceived social support has a significant effect on women's entrepreneurial intention only when it is mediated by self-efficacy.Originality/valueThis study presents empirical evidence on how gender stereotype perception, perceived social support and self-efficacy affect women's entrepreneurial intentions and establishes a novel conceptual framework for women's entrepreneurship in emerging economies. This study provides academic and practical implications by identifying the entrepreneurial intentions of women who have carried out entrepreneurial activities. This study also provides direction for policymakers to encourage women's entrepreneurial intentions.
EMS workers on the frontline of the opioid epidemic: effects of sleep and social support on depression
Authors: Sable Paige , Tang Fengyan , Swab Jenifer A. , Roth Sheila , Rosen Daniel 
Published: May 2023

PurposeThis study focuses on Emergency Medical Service (EMS) personnel and examines the impact of overdose calls for opioids and attitudes of EMS workers towards individuals with substance use disorders on EMS workers' mental well-being while accounting for self-reported sleep and social support.Design/methodology/approachThis cross-sectional study surveyed EMS workers (N = 608) across Pennsylvania on demographic variables, frequency of overdose calls, attitudes towards opioid use and naloxone administration on measures of mental health. Multiple logistic regression models were estimated to examine the relationship of perception of opioid use and treatment and likelihood that EMS workers might experience depression.FindingsAuthors found two main findings: (1) There was a significant relationship between more negative perceptions about opioid use/naloxone and the likelihood that EMS workers might experience depression. (2) There was a significant relationship between number of overdose calls EMS workers responded to and likelihood of depression, which appeared to be alleviated by improvements in sleep and social support.Research limitations/implicationsThere is potential opportunity for EMS employers to minimize the impact of the opioid epidemic on EMS worker mental health. Trainings to highlight effectiveness of treatment should be further explored, along with ways to enhance social support and improve sleep for EMS workers to protect against the stress associated with responding to this public health crisis.Originality/valueThis study adds to the literature on the impact of the opioid epidemic as it relates to mental health outcomes for EMS professionals providing frontline care to those experiencing opioid use disorders.
Managing customer experience dimensions in B2B express delivery services for better customer satisfaction: a PLS-SEM illustration
Authors: Cepeda-Carrión Ignacio , Alarcon-Rubio David , Correa-Rodriguez Carlos , Cepeda-Carrion Gabriel 
Published: May 2023

PurposeThis article aims to open the black box of the relationship between customer experience and customer satisfaction. The authors also take a fine-grained approach to the concept of customer experience analysis in terms of four dimensions: basic service experience (BSE), moments of truth (MT), focus on results (FR) and peace of mind (PM).Design/methodology/approachA total sample of 185 industrial customers in Spain was collected via an online platform from March to April 2020. The data were analysed using partial least squares-structural equation modelling (PLS-SEM).FindingsThe results indicated that the four dimensions of customer experience are the foundation of commercial success (i.e. customer satisfaction) for express parcel companies in the business-to-business (B2B) environment. Therefore, the most innovative express parcel companies should not only pay attention to providing services in accordance with the customer agreement but also go beyond that; hence, these companies must understand customer needs to be able to offer a unique experience. Therefore, these companies must design experiences that go beyond pure technical delivery services.Originality/valueAlthough previous work has linked customer experience to customer satisfaction, there is little work that does so specifically in an industry as in vogue as express parcels and less so in the B2B environment. In addition, this work analyses fine-grained customer experience in terms of grain's four dimensions, and therefore, the authors analyse how each dimension (e.g. more rational or more subjective dimensions) impacts customer satisfaction. Few studies have focussed on this type of analysis for express parcel companies in the B2B environment.
Predictable inventory management within dairy supply chain operations
Authors: Huerta-Soto Rosario , Ramirez-Asis Edwin , Tarazona-Jiménez John , Nivin-Vargas Laura , Norabuena-Figueroa Roger , Guzman-Avalos Magna , Reyes-Reyes Carla 
Published: May 2023

PurposeWith the current wave of modernization in the dairy industry, the global dairy market has seen significant shifts. Making the most of inventory planning, machine learning (ML) maximizes the movement of commodities from one site to another. By facilitating waste reduction and quality improvement across numerous components, it reduces operational expenses. The focus of this study was to analyze existing dairy supply chain (DSC) optimization strategies and to look for ways in which DSC could be further improved. This study tends to enhance the operational excellence and continuous improvements of optimization strategies for DSC managementDesign/methodology/approachPreferred reporting items for systematic reviews and meta-analyses (PRISMA) standards for systematic reviews are served as inspiration for the study's methodology. The accepted protocol for reporting evidence in systematic reviews and meta-analyses is PRISMA. Health sciences associations and publications support the standards. For this study, the authors relied on descriptive statistics.FindingsAs a result of this modernization initiative, dairy sector has been able to boost operational efficiency by using cutting-edge optimization strategies. Historically, DSC researchers have relied on mathematical modeling tools, but recently authors have started using artificial intelligence (AI) and ML-based approaches. While mathematical modeling-based methods are still most often used, AI/ML-based methods are quickly becoming the preferred method. During the transit phase, cloud computing, shared databases and software actually transmit data to distributors, logistics companies and retailers. The company has developed comprehensive deployment, distribution and storage space selection methods as well as a supply chain road map.Practical implicationsMany sorts of environmental degradation, including large emissions of greenhouse gases that fuel climate change, are caused by the dairy industry. The industry not only harms the environment, but it also causes a great deal of animal suffering. Smaller farms struggle to make milk at the low prices that large farms, which are frequently supported by subsidies and other financial incentives, set.Originality/valueThis paper addresses a need in the dairy business by giving a primer on optimization methods and outlining how farmers and distributors may increase the efficiency of dairy processing facilities. The majority of the studies just briefly mentioned supply chain optimization.
How users cognitively appraise and emotionally experience the metaverse: focusing on social virtual reality
Authors: Suh Ayoung 
Published: May 2023

PurposeDespite the increasing interest in the metaverse—immersive three-dimensional virtual worlds wherein personalized avatars interact with one another—little is known about how users cognitively appraise and emotionally experience it. To fill this gap, the present study explores the emotional, behavioral and social consequences of users' cognitive appraisals, while focusing on social virtual reality (VR) as a representative entry point to the metaverse.Design/methodology/approachDrawing on cognitive appraisal theory against the backdrop of a framework for classifying emotions, this study develops and tests a theoretical model to account for users' continuance intention and its consequences in the social VR context based on two-wave panel survey data collected from 216 users of social VR platforms, including AltspaceVR, VRChat, Bigscreen and Rec Room.FindingsThe results of the first survey showed that perceived opportunity was more strongly influenced by technological opportunity than social opportunity, whereas perceived threat was more strongly affected by social threat than technological threat. Integrating the data collected from the first survey with those of the second survey, we also found that users' continuance intention positively influenced both their behavioral engagement and social self-efficacy.Originality/valueBy adopting a longitudinal approach, this study provides insights that may be valuable to researchers and practitioners who seek to use social VR for business purposes. This study also contributes to the metaverse literature by conceptualizing and operationalizing the opportunity and threat factors of social VR and identifying salient emotions that users experience in this context. Finally, this study has practical implications for addressing the social and technological features that may cause adverse user experiences in social VR.
Research self-efficacy and research productivity: evidence from academics in Tanzanian public higher education institutions
Authors: Ndiango Sinyati , Kumburu Neema P. , Jaffu Richard 
Published: May 2023

PurposeThis study aims to examine the influence of research self-efficacy (RSE) on academics' research productivity (RPR) in public higher education institutions in Tanzania.Design/methodology/approachA cross-sectional design was utilized to collect and analyze data from 247 academics in four public higher education institutions in Tanzania.FindingsThe findings show that RSE has a positive and significant influence on academics' RPR in higher education (ß = 0.657 and p < 0.001).Practical implicationsHigher education institutions should focus on creating a favorable work environment that fosters academics' RSE so as to enhance more productivity in terms of research.Originality/valueThe results of this study expand the aspects in which social cognitive theory can be applied in Tanzania's higher education institutions. On the other hand, by conducting empirical-based research on the influence of RSE on RPR in developing nations like Tanzania, the findings contribute to the literature on RSE and RPR.
On the role of team passion in inventing, founding and developing: what happens in the early stages of entrepreneurship?
Authors: Maryami Sara , Loi Michela , Martinez Marcello , Di Guardo Maria Chiara 
Published: May 2023

PurposeDrawing on the Broaden-and-build theory, the study investigates the impact of team entrepreneurial passion (TEP) on team performance. This study further examines the mediating role of team cooperation between TEP and team performance. Thus, by expanding the conceptual model of TEP, the authors examine how three domains of TEP, namely inventing, founding and developing affect the entrepreneurial outcomes in the early stages of entrepreneurship.Design/methodology/approachSurvey data were collected from 29 entrepreneurial teams, and the proposed relationships were assessed through Smart-PLS 3.2.8 structural equation modeling (SEM) tool.FindingsRegarding the domains of TEP, the authors' findings show that the TEP for inventing is positively related to team performance. As for the influences of TEP for inventing and TEP for developing, both are the most beneficial for entrepreneurial outputs, such as team members' abilities to recognize and exploit opportunities.Originality/valueAlthough there is an increased scholars' interest in entrepreneurial passion, there is a lack of research that examines the enabling factors and outcomes of entrepreneurial passion at the team level. This study is among the earliest research studies that not only empirically explores the relationships between TEP and team performance but also illustrates how each domain of TEP uniquely influences entrepreneurial outcomes by extending existing studies on entrepreneurial passion.
Parametric optimization of a VCR diesel engine run on diesel-bioethanol-Al2O3 nanoparticles blend using Taguchi-Grey and RSM method: a comparative study
Authors: Mohapatra Taraprasad , Mishra Sudhansu Sekhar 
Published: May 2023

Purpose
The study aims to verify and establish the result of the most suitable optimization approach for higher performance and lower emission of a variable compression ratio (VCR) diesel engine. In this study, three types of test fuels are taken and tested in a variable compression ratio diesel engine (compression ignition). The fuels used are conventional diesel fuel, e-diesel (85% diesel-15% bioethanol) and nano-fuel (85% diesel-15% bioethanol-25 ppm Al2O3). The effect of bioethanol and nano-particles on performance, emission and cost-effectiveness is investigated at different load and compression ratios (CRs). The optimum performance and lower emission of the engine are evaluated and compared with other optimization methods.

Design/methodology/approach
The test engine is run by diesel, e-diesel (85% diesel-15% bioethanol) and nano-fuel (85% diesel-15% bioethanol-25 ppm Al2O3) in three different loadings (4 kg, 8 kg and 12 kg) and CR of 14, 16 and 18, respectively. The optimum value of energy efficiency, exergy efficiency, NOX emission and relative cost variation are determined against the input parameters using Taguchi-Grey method and confirmed by response surface methodology (RSM) technique.

Findings
Using Taguchi-Grey method, the maximum energy and exergy efficiency, minimum % relative cost variation and NOX emission are 24.64%, 59.52%, 0 and 184 ppm, respectively, at 4 kg load, 18 CR and fuel type of nano-fuel. Using RSM technique, maximum energy and exergy efficiency are 24.8% and 62.9%, and minimum NOX emission and % cost variation are 208.4 ppm and –6.5, respectively, at 5.2 kg load, 18 CR and nano-fuel. The RSM is suggested as the most appropriate technique for obtaining maximum energy and exergy efficiency, and minimum % relative cost; however, for lowest possible NOX emission, the Taguchi-Grey method is the most appropriate.

Originality/value
Waste rice straw is used to produce bioethanol. 4-E analysis, i.e. energy, exergy, emission and economic analysis, has been carried out, optimized and compared.