bluuebunny/crossref_metadata_2025_split huggingface dataset:
CoBeL-RL: A neuroscience-oriented simulation framework for complex behavior and learning
Authors: Diekmann Nicolas , Vijayabaskaran Sandhiya , Zeng Xiangshuai , Kappel David , Menezes Matheus Chaves , Cheng Sen 
Published: December 2022

AbstractReinforcement learning (RL) has become a popular paradigm for modeling animal behavior, analyzing neuronal representations, and studying their emergence during learning. This development has been fueled by advances in understanding the role of RL in both the brain and artificial intelligence. However, while in machine learning a set of tools and standardized benchmarks facilitate the development of new methods and their comparison to existing ones, in neuroscience, the software infrastructure is much more fragmented. Even if sharing theoretical principles, computational studies rarely share software frameworks, thereby impeding the integration or comparison of different results. Machine learning tools are also difficult to port to computational neuroscience since the experimental requirements are usually not well aligned. To address these challenges we introduce CoBeL-RL, a closed-loop simulator of complex behavior and learning based on RL and deep neural networks. It provides a neuroscience-oriented framework for efficiently setting up and running simulations. CoBeL-RL offers a set of virtual environments, e.g. T-maze and Morris water maze, which can be simulated at different levels of abstraction, e.g. a simple gridworld or a 3D environment with complex visual stimuli, and set up using intuitive GUI tools. A range of RL algorithms, e.g. Dyna-Q and deep Q-network algorithms, is provided and can be easily extended. CoBeL-RL provides tools for monitoring and analyzing behavior and unit activity, and allows for fine-grained control of the simulation via interfaces to relevant points in its closed-loop. In summary, CoBeL-RL fills an important gap in the software toolbox of computational neuroscience.
A toolkit for converting Gal4 into LexA and Flippase transgenes inDrosophila
Authors: Karuparti Sasidhar , Yeung Ann T. , Wang Bei , Guicardi Pedro F. , Han Chun 
Published: December 2022

AbstractDrosophilahas been a powerful model system for biological studies due to the wide range of genetic tools established for it. Among these tools, Gal4 is the most abundant, offering unparalleled tissue- and developmental stage-specificity for gene manipulation. In comparison, other genetic reagents are far fewer in choices. Here we present a genetic toolkit for converting Gal4 strains into LexA and Flippase transgenes through simple genetic crosses and fluorescence screening. We demonstrate the proof-of-principle by converting ten Gal4 lines that exhibit diverse tissue specificities and examined the activity patterns of the converted LexA and Flippase lines. Gal4-to-LexA and Flp conversion is fast and convenient and should greatly expand the choices of LexA and Flp for binary expression and FRT-based mosaic analysis, respectively, inDrosophila.
The intracellular auxin homeostasis regulators PIN5 and PIN8 have a divergent membrane topology inArabidopsis thalianaroot cells
Authors: Seifu Yewubnesh Wendimu , Rýdza Nikola , Zwiewka Marta , Pukyšová Vendula , Nodzyński Tomasz 
Published: December 2022

AbstractPIN proteins establish the auxin concentration gradient, which coordinates plant growth. PIN1-4 and 7 localized at the plasma membrane (PM) and facilitate polar auxin transport while the endoplasmic reticulum (ER) localized PIN5 and PIN8 maintain the intracellular auxin homeostasis. Although an antagonistic activity of PIN5 and PIN8 proteins in regulating the intracellular auxin homeostasis and other developmental events have been reported, how the two proteins which localize at the same intracellular compartment antagonize each other remains unclear. Combining immunolocalization, pH-dependent fluorescent quenching, and topology prediction programs, we mapped the membrane topology of PIN5 and PIN8 inArabidopsis thalianaroot cells. Our results indicate that, except for the similarities in the orientation of the N-terminus, PIN5 and PIN8 have an opposite orientation of the central hydrophilic loop and the C-terminus, as well as an unequal number of transmembrane domains (TMDs). PIN8 has ten TMDs with groups of five alpha-helices separated by the central hydrophilic loop (HL) residing in the ER lumen, and its N- and C-terminals are positioned in the cytoplasm. However, topology of PIN5 comprises nine TMDs. Its N-terminal end and the central HL face the cytoplasm while its C-terminus resides in the ER lumen. Overall, the divergent membrane topology of PIN5 and PIN8 provides a possible explanation for the mutually opposing activity of these intracellular auxin homeostasis regulators.
Distinction between slow waves and delta waves sheds light to sleep homeostasis and their association to hippocampal sharp waves ripples
Authors: El-Kanbi Karim , de Lavilléon Gaëtan , Bagur Sophie , Lacroix Marie , Benchenane Karim 
Published: December 2022

AbstractCortical slow waves and delta waves are hallmarks of NREM sleep and key elements in physiological processes such as memory consolidation and sleep homeostasis. However, no clear distinction has been made between the two types of electrophysiological events. We introduce a new distinction between slow waves, large amplitude waves on filtered LFP cortical signals, and delta waves, characterized by an inversion between deep and superficial layers and the co-occurrence with a cortical down state. Detection of slow waves, as large amplitude waves during NREM sleep, reveals that a large portion of them does not share the properties of delta waves and does not co-occur with cortical down states. Therefore, we distinguish type-1 slow waves, that are associated to a down state, from type-2 slow waves. We show that 1) only type-1 slow waves undergo strong homeostatic regulations and 2) type-2 slow waves create confusion about the temporal link with hippocampal sharp-wave ripples. Thus, we confirm that delta waves detected with our new method can be used as a proxy for down state. Altogether, this confirms the importance of a robust and accurate definition of delta waves to understand the fine neurophysiological mechanisms at stake during NREM sleep.
Mapping variation in the morphological landscape of human cells with optical pooled CRISPRi screening
Authors: Labitigan Ramon Lorenzo D. , Sanborn Adrian L. , Hao Cynthia V. , Chan Caleb K. , Belliveau Nathan M. , Brown Eva M. , Mehrotra Mansi , Theriot Julie A. 
Published: December 2022

ABSTRACTThe contributions of individual genes to cell-scale morphology and cytoskeletal organization are challenging to define due to the wide intercellular variation of these complex phenotypes. We leveraged the controlled nature of image-based pooled screening to assess the impact of CRISPRi knockdown of 366 genes on cell and nuclear morphology in human U2OS osteosarcoma cells. Screen scale-up was facilitated by a new, efficient barcode readout method that successfully genotyped 85% of cells. Phenotype analysis using a deep learning algorithm, the β-variational autoencoder, produced a feature embedding space distinct from one derived from conventional morphological profiling, but detected similar gene hits while requiring minimal design decisions. We found 45 gene hits and visualized their effect by rationally constrained sampling of cells along the direction of phenotypic shift. By relating these phenotypic shifts to each other, we construct a quantitative and interpretable space of morphological variation in human cells.
Regional impacts of rural credit and rural insurance policies on crop area and productivity: evidence from São Paulo state, Brazil (2008 and 2017)
Authors: de Sousa Leite Francisca Nathalia , Castro Eduardo Rodrigues de , Tateishi Henrique Ryosuke 
Published: December 2022

PurposeConstrained input use and lower productivity of rural establishments may be associated with restricted or concentrated access to financial resources, especially in developing countries. Meanwhile, agricultural activity entails risks associated with the volatility of net cash flows and external events, which may discourage riskier but higher return investments (e.g. technology). As rural credit can alleviate the former, and rural insurance may help alleviate the latter, the combination of both policies might endorse each other. The purpose of this study is to analyze the use of rural credit and rural insurance policies with respect to productivity and crop area, in São Paulo state, Brazil, using farmer's microdata from two surveys realized in 2007/08 and 2016/17.Design/methodology/approachThis study uses propensity score matching and the entropy balance approaches in a complementary way. This study compared three policy treatments – rural credit, rural insurance and both policies combined, against establishments that received neither one. The analysis considered sugarcane, grain and grape crops separately and employed farmer's microdata. Moreover, the analysis was stratified into two categories: establishments owned by family farmers and those that did not.FindingsRural credit policy is related to higher productivity and larger cultivated area for grains and only to larger area for grape crops in the last analyzed period (2016/17). Rural insurance, as a unique policy or combined with credit, is related to higher productivity and cultivated areas, for all analyzed crops, only in the second period (2016/17), as the policy became more accessible to farmers. Heterogeneity regarding crops and farmers might influence the effectiveness of these policies. Despite rural insurance being related to a better performance regarding the outcome variables, it still reaches a small share of farmers, especially when combined with credit.Originality/valueMany studies about the effectiveness of rural credit in Brazil have been conducted throughout the years, while there have been fewer studies regarding rural insurance since it became an important policy in the mid-2000s. However, few studies have conducted an analysis comparing its individual and interactive influences, with such level of disaggregation, on a farm-level database, considering the heterogeneity of the data and the different categories of farmers.
Toward a sustainable career perspective on contingent work: a critical review and a research agenda
Authors: Retkowsky Jana , Nijs Sanne , Akkermans Jos , Jansen Paul , Khapova Svetlana N. 
Published: December 2022

PurposeThe purpose of this paper is to provide a synthesis of the contingent work field and to advocate a sustainable career perspective on contingent work.Design/methodology/approachAdopting a broader review approach allowed to synthesize the contingent work literature across contingent work types (temporary agency work, gig work and freelance work) and develop a sustainable career perspective on contingent work. The authors searched for empirical, conceptual and review articles published from 2008 to December 2021. In total, the authors included 208 articles.FindingsThe authors advocate a sustainable career perspective that allows for organizing and synthesizing the fragmented contingent work literature. Adopting a sustainable career perspective enables to study contingent work from a dynamic perspective transcending one single organization.Originality/valueThe field is suffering from fragmentation and most importantly from an oversight of how contingent work experiences play a role in a persons’ career. This paper addresses this problem by adopting a sustainable career perspective on contingent work.
How technological relatedness influences inter-firm collaborative performance: an empirical study on 5 high-tech fields of scientific and technological achievements
Authors: Zhu Guilong , Sai Fu , Qin Zitao 
Published: December 2022

PurposeThe purpose of this paper is to investigate the impact of two dimensions of technological relatedness, namely technological similarity and complementarity, on collaborative performance, plus the mediating role of collaboration network stickiness and the moderating role of partner expertise and geographical distance in interfirm collaboration contexts.Design/methodology/approachThis study takes Chinese Scientific and Technological Achievements (STA) of inter-firm collaboration in five high-tech fields in 2010–2020 as the sample and uses OLS regression to test the hypothesis.FindingsTechnological similarity and complementarity positively affect collaborative performance. Partner expertise negatively moderates the relationship between similarity, complementarity and collaborative performance. Geographical distance positively moderates the relationship between similarity and collaborative performance while negatively moderates that between complementarity and collaborative performance. Collaboration network stickiness partly mediates the relationship between similarity and collaborative performance.Originality/valueThis study expands literature on inter-firm collaboration, especially research on the antecedents of collaborative performance. Moreover, this study not only compensates for lack of empirical analysis in partner selection research, but also utilizes second-hand data to enhance the objectivity of analysis. Additionally, we enrich the research on the moderating role of partner expertise and geographical distance as well as the mediating role of collaboration network stickiness.
A bibliometrics analysis of research on teachers' satisfaction from 1956 to 2022
Authors: Hoang Anh-Duc 
Published: December 2022

PurposeThis research study aims to capture the movement of research focus and to highlight notable authors, journals and documents on teachers' satisfaction from 1956 to 2022.Design/methodology/approachThis paper analyzed the bibliographic metadata associated with 720 Clarivate Web of Science indexed articles on this topic, using descriptive, co-occurrence and thematic analyses.FindingsThe study first identified the growth trajectory of literature on this topic over time and found a steady increasement since 2016. The findings also revealed four sub-topics that scholars often investigate when studying teachers' satisfaction, which are: leadership, engagement, self-efficacy and retention, as well as the scholars' research focus on those sub-topics across different periods. In recent years, scholars have been paying more attention to exploring the influence of various leadership styles and teachers' professional identities on job satisfaction.Originality/valueThis paper is the first bibliometric review on this topic. The results of this study showed that there was little collaboration between authors across countries and territories. Therefore, there is a considerable demand for comparative studies on this topic, which can expose untapped insights from various cultures and societies. Finally, by featuring the most influential authors, documents and journals on teachers' satisfaction, this work might serve as an introduction for scholars who are new to this topic.
Examining teachers' learning through a project-based learning lesson study: a case study in China
Authors: Qi Chunxia , Lai Mun Yee , Liu Lizhe , Zuo Siyu , Liang Haili , Li Ruisi 
Published: December 2022

PurposeThis study explored how teachers change, what teachers learn and how they learn during the implementation of project-based learning through lesson study.Design/methodology/approachIn this study, three university researchers, one doctoral student and six mathematics school teachers formed a lesson study team. Using a qualitative research method, this study employed a locally integrating networking strategy to combine the modified Interconnected Model of Teacher Professional Growth (IMTPG) and Bannister's framework to describe the teachers' knowledge change when participating in a lesson study on project-based learning.FindingsThe research revealed that the school teachers' knowledge about authenticity and assessment in the context of project-based learning was changed after the lesson study and how the changes were triggered.Originality/valueThe study demonstrates how the networking of two different theories—modified IMTPG and Bannister's framework—contributes to a better understanding of the process of teachers' collective practice, as well as the knowledge change in PjBL. This networking was done by combining the two theories, which were superimposed at the domain of practice.
Forecasting VaR and ES using the joint regression combined forecasting model in the Chinese stock market
Authors: Lu Xunfa , Sheng Kang , Zhang Zhengjun 
Published: December 2022

PurposeThis paper aims to better jointly estimate Value at Risk (VaR) and expected shortfall (ES) by using the joint regression combined forecasting (JRCF) model.Design/methodology/approachCombining different forecasting models in financial risk measurement can improve their prediction accuracy by integrating the individual models’ information. This paper applies the JRCF model to measure VaR and ES at 5%, 2.5% and 1% probability levels in the Chinese stock market. While ES is not elicitable on its own, the joint elicitability property of VaR and ES is established by the joint consistent scoring functions, which further refines the ES’s backtest. In addition, a variety of backtesting and evaluation methods are used to analyze and compare the alternative risk measurement models.FindingsThe empirical results show that the JRCF model outperforms the competing models. Based on the evaluation results of the joint scoring functions, the proposed model obtains the minimum scoring function value compared to the individual forecasting models and the average combined forecasting model overall. Moreover, Murphy diagrams’ results further reveal that this model has consistent comparative advantages among all considered models.Originality/valueThe JRCF model of risk measures is proposed, and the application of the joint scoring functions of VaR and ES is expanded. Additionally, this paper comprehensively backtests and evaluates the competing risk models and examines the characteristics of Chinese financial market risks.
The long-run stock performance following announcements of sustainable supply chain management initiatives
Authors: Dang Thi-Ha-Trang , Chang Shao-Chi 
Published: December 2022

PurposeThis study aims to examine and analyze the determinants of the stock market performance after firms announce sustainable supply chain management (SSCM) practices.Design/methodology/approachThe study focuses on the long-run stock performance of firms announcing SSCM investments. The authors collected a sample of 280 SSCM announcements from 2010 to 2017 and estimated the buy-and-hold abnormal stock returns up to three years following the announcements. Numerous analyses were conducted to analyze the effect of environmental and social sustainability on long-run stock returns.FindingsThe findings show a significantly positive stock performance in the three-year period after announcements. Moreover, the evidence indicates that the post-announcement abnormal stock return has an inverted-U relationship with corporate environmental sustainability but not with corporate social sustainability. Finally, whether firms expand the firms' corporate sustainability strength to SSCM practices or not, firms secure long-run wealth as long as SSCM programs are carried out.Research limitations/implicationsThe research focuses on the stock performance of USA public firms to draw conclusions about firms' market performance. This research leaves out the private and born-sustainable firms.Practical implicationsThe findings offer firms incentives to invest in SSCM and suggest the magnitude of value provided by each sustainability type to help firms set firms' supply chain (SC) sustainable investment level.Originality/valueThe study is the first to investigate the long-run stock performance of firms announcing SSCM practices and the contribution of different sustainability types to stock performance.
Prevalence of sexually transmitted infections (STIs) and related factors among female prisoners in Tehran, Iran
Authors: Farhoudi Behnam , Shahmohamadi Elnaz , SeyedAlinaghi SeyedAhmad , Rostam Afshar Zohreh , Parmoon Zohal , Mirzapour Pegah , Nadji SeyedAlireza , Golsoorat Pahlaviani Fatemeh , Tashakorian Mehrzad 
Published: December 2022

PurposeSexually transmitted infections (STIs) can be transferred from one person to another through sexual contact. STIs lead to substantial morbidity and mortality and affect many different aspects of human life, including quality of life, sexual health, reproductive health and even the health of newborns and children. Despite of high rates of STIs in prisons, there are not sufficient screening, prevention and treatment programs to control STIs transmission among prisoners in Iran. This study aims to evaluate the prevalence of STIs among incarcerated women in Iran for the first time, using the active case finding strategy.Design/methodology/approachThis is a cross-sectional study conducted on 438 incarcerated women in a prison in Tehran, Iran, from 2017 to 2018. A total of 438 prisoners were screened by active case findings for STI symptoms, then evaluated by complete genital and anal examination, followed by molecular testing.FindingsA total of 189 (43.2%) prisoners announced vaginal discharge, while 194 (44.3%) individuals had vaginal discharge in the genital examination. In the cervical examination, 137 individuals (31.3%) had abnormal findings, of which 83 (18.9%) individuals had cervicitis, 40 (9.1%) individuals had cervical erosion, 38 (8.7%) individuals had cervical prolapse and 17 (3.9%) individuals had bleeding originated from the cervix.Originality/valueThis study showed that it is possible to set up a system in which the diagnosis, follow-up and treatment of prisoners with STIs can be actively performed. Educating prisoners about signs and symptoms, risk behaviors and prevention routes of STIs, as much as regular screening of prisoners, and adequate treatment can help control the STIs prevalence among prisoners and in the general population.