bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuronal Spike Shapes (NSS): A Straightforward Approach to Investigate Heterogeneity in Neuronal Excitability States
Authors: Martini Lorenzo , Amprimo Gianluca , Di Carlo Stefano , Olmo Gabriella , Ferraris Claudia , Savino Alessandro , Bardini Roberta 
Published: June 2023

ABSTRACTThe mammalian brain exhibits a remarkable diversity of neurons, contributing to its intricate architecture and functional complexity. The analysis of multimodal single-cell datasets enables the investigation of cell types and states heterogeneity. In this study, we introduce the Neuronal Spike Shapes (NSS), a straightforward approach for the exploration of excitability states of neurons based on their Action Potential (AP) waveforms. The NSS method describes the AP waveform based on a triangular representation complemented by a set of derived electrophysiological (EP) features. To support this hypothesis, we validate the proposed approach on two datasets of murine cortical neurons, focusing it on GABAergic neurons. The validation process involves a combination of NSS-based clustering analysis, features exploration, Differential Expression (DE), and Gene Ontology (GO) enrichment analysis. Results show that the NSS-based analysis captures neuronal excitability states that possess biological relevance independently of cell subtype. In particular, Neuronal Spike Shapes (NSS) captures, among others, a well-characterized fast-spiking excitability state, supported by both electrophysiological and transcriptomic validation. Gene Ontology Enrichment Analysis reveals voltage-gated potassium (K+) channels as specific markers of the identified NSS partitions. This finding strongly corroborates the biological relevance of NSS partitions as excitability states, as the expression of voltage-gatedK+channels regulates the hyperpolarization phase of the AP, being directly implicated in the regulation of neuronal excitability.
Unravelling Biosynthesis and Biodegradation Potentials of Microbial Dark Matters in Hypersaline Lakes
Authors: Qiu Zhiguang , Zhu Yuanyuan , Zhang Qing , Qiao Xuejiao , Mu Rong , Xu Zheng , Yan Yan , Wang Fan , Zhang Tong , Zhuang Wei-Qin , Yu Ke 
Published: June 2023

AbstractBiosynthesis and biodegradation of microorganisms critically underpin the development of biotechnology, new drugs and therapies, and environmental remediation. However, the vast majority of uncultured microbial species along with their metabolic capacities in extreme environments remain obscured. To unravel the metabolic potentials of these microbial dark matters (MDMs), we investigated four deep-inland hypersaline lakes with largely diversified environmental parameters in Xinjiang Uygur Zizhiqu, China. Metagenomic binning obtained 3,030 metagenome-assembled genomes (MAGs) spanning 82 phyla, of which 2,363 MAGs could not be assigned to a known genus. These unknown MAGs were abundantly observed with distinct taxa among lakes, possibly linked to the diversification of physiochemical conditions. Analysis of biosynthetic potentials identified 9,635 biosynthesis gene clusters (BGCs), of which 9,403 BGCs were considered novel. We found that some MAGs from putatively novel phyla consistently comprised enriched BGCs, which may have substantial potentials in biotechnological applications. In addition, biodegradation potentials such as dehalogenation, anaerobic ammonium oxidation (Anammox), polycyclic aromatic hydrocarbon (PAH), and plastic degradation were found in new microbial clades from hypersaline lakes. These findings substantially expanded the genetic repository of biosynthesis and biodegradation potentials, which can further assist the development of new and innovative applications in biotechnology.
Memory-specific encoding activities of the ventral tegmental area dopamine and GABA neurons
Authors: Glykos Vasileios , Fujisawa Shigeyoshi 
Published: June 2023

AbstractAlthough the midbrain dopamine (DA) system plays a crucial role in higher cognitive functions, including updating and maintaining short-term memory, the encoding properties of the somatic spiking activity of ventral tegmental area (VTA) DA neurons for short-term memory computations have not yet been identified. Here, we probed and analyzed the activity of optogenetically identified DA and GABA neurons while mice engaged in short-term memory-dependent behavior in a T-maze task. Single-neuron analysis revealed that significant subpopulations of DA and GABA neurons responded differently between left and right trials in the memory delay. With a series of control behavioral tasks and regression analysis tools, we show that firing rate differences are linked to short-term memory-dependent decisions and cannot be explained by reward-related processes, motivated behavior, or motor-related activities. This evidence provides novel insights into the mnemonic encoding activities of midbrain DA and GABA neurons.
Th17 cells target the metabolic miR-142-5p-SDHC/SDHD axis promoting invasiveness and progression of cervical cancers
Authors: Pohlers Maike , Gies Selina , Tänzer Tanja , Stroeder Russalina , Theobald Laura , Ludwig Nicole , Kim Yoo-Jin , Bohle Rainer , Solomayer Erich-Franz , Meese Eckart , Hart Martin , Walch-Rückheim Barbara 
Published: June 2023

AbstractDuring cervical carcinogenesis, T-helper (Th)-17 cells accumulate in the peripheral blood and tumor tissues of cancer patients. We previously demonstrated that Th17 cells are associated with therapy resistance as well as cervical cancer metastases and relapse, however, the underlying Th17-driven mechanisms supporting cervical cancer progression are not fully understood as yet. In this study, we found that Th17 cells promote migration and invasion of cervical cancer cells in 2D cultures and 3D spheroids. We demonstrated that Th17 cells induced the expression of miR-142-5p in cervical cancer cells supporting their migration and invasiveness. As the responsible mechanism, we identified the subunits C and D of the succinate dehydrogenase (SDH) complex as new targets of miR-142-5p and provided evidence that Th17 cells reduced the expression of SDHC and SDHD that was dependent on miR-142-5p. Functional downstream analysis with inhibitors of miR-142-5p and siRNA knock down of SDHC and SDHD revealed that Th17-induced miR-142-5p-mediated reduced expression of SDHC and SDHD was responsible for enhanced migration and invasion of cervical cancer cells. Consistently, cervical cancer patients exhibited high levels of succinate in their serum associated with lymph node metastases and diminished expression of SDHD in patients′ biopsies significantly correlated with increased numbers of Th17 cells, advanced tumor stage and lymph node metastases. Correspondingly, a combination of weak or negative SDHD expression and a ratio of Th17/CD4+T cells > 43.90 %in situwas associated with reduced recurrence free survival. In summary, we unraveled a novel molecular mechanism by which Th17 cells promote cervical cancer progression and suggest evaluation of Th17 cells as a potential target for immunotherapy in cervical cancer.
Zona incerta dopamine neurons encode motivational vigor in food seeking
Authors: Ye Qiying , Nunez Jeremiah , Zhang Xiaobing 
Published: June 2023

AbstractEnergy deprivation triggers food seeking to ensure homeostatic consumption, but the neural coding of motivational vigor in food seeking during physical hunger remains unknown. Here, we report that ablation of dopamine (DA) neurons in zona incerta (ZI) but not ventral tegmental area potently impaired food seeking after fasting. ZI DA neurons were quickly activated for food approach but inhibited during food consumption. Chemogenetic manipulation of ZI DA neurons bidirectionally regulated feeding motivation to control meal frequency but not meal size for food intake. In addition, activation of ZI DA neurons and their projections to paraventricular thalamus transited positive-valence signals to promote acquisition and expression of contextual food memory. Together, these findings reveal that ZI DA neurons encode motivational vigor in food seeking for homeostatic eating.One Sentence SummaryActivation of ZI DA neurons vigorously drives and maintains food-seeking behaviors to ensure food consumption triggered by energy deprivation through inhibitory DAZI-PVTtransmissions that transit positive-valence signals associated with contextual food memory.
A prelude to statistics arising from optimal transport theory
Authors: Nguyen Hung T. 
Published: June 2023

PurposeThis paper aims to offer a tutorial/introduction to new statistics arising from the theory of optimal transport to empirical researchers in econometrics and machine learning.Design/methodology/approachPresenting in a tutorial/survey lecture style to help practitioners with the theoretical material.FindingsThe tutorial survey of some main statistical tools (arising from optimal transport theory) should help practitioners to understand the theoretical background in order to conduct empirical research meaningfully.Originality/valueThis study is an original presentation useful for new comers to the field.
A bibliometric study on the role of micro-finance services in micro, small and medium enterprises
Authors: Gora Kapil , Dhingra Barkha , Yadav Mahender 
Published: June 2023

Purpose
Micro-finance has a significant role in the better performance of micro, small and medium enterprises (MSMEs). This study aims to provide a comprehensive picture of the existing literature on the role of micro-finance and its approaches in MSMEs.

Design/methodology/approach
This work performs a bibliometric analysis using a data set of 631 articles collected from the Scopus database. The Bibliometrix R package and Vosviewer are used to conduct performance analysis and scientific mapping. Performance analysis shows the publication trend, key authors, journals and top influential articles. Science mapping through a bibliographic coupling network of documents is prepared to discover the intellectual structure of the field.

Findings
This review has identified the four major themes: access to finance and schemes, women empowerment and poverty alleviation, the performance of micro-finance institutions and recent development in micro-financial institutions. With the help of these research themes, the paper also highlights future research agendas.

Originality/value
This paper enriches the understanding of the role of micro-finance services in performance of entrepreneurship with the bibliometric review of top contributors.
The usefulness of mathematical modelling for economic and environmental sustainability in the scope of university teacher education
Authors: Lucas Catarina , Paulo Joana 
Published: June 2023

Purpose
The purpose of this study is to present a general review that provides an overview of the concept of sustainability and the effectiveness of mathematics curricula in courses where deeper work on economic and environmental sustainability has become central.

Design/methodology/approach
A qualitative methodology consisting of a review based on a pre-defined systematic method was used to exhaustively search and identify the most relevant answers to the research question: What is the role of mathematics to sustainability? To facilitate answering such a broad question, several concrete questions were formulated. Answers from published and unpublished documents were analysed. The quality of the extracted data was assessed, and the results were synthesized.

Findings
It was concluded that, on the one hand, the discipline of mathematics has much to contribute to solving the problems of sustainability; on the other hand, new mathematics is appearing stimulated by new challenges.

Social implications
This work presents social implications in an innovative way. It allows for an increase in educational sustainability by bringing the academic community closer to the business world and the challenges of society and, furthermore, by having a major impact on the motivation of teachers and students to develop cooperative work within university institutions.

Originality/value
The originality is based on an a priori analysis for the construction and implementation of didactic tools for university teacher training in the area of mathematics within the framework of sustainable development, both economically and environmentally.
The impact of highly skilled emigrants on the origin country's innovation performance: the case of Greece
Authors: Labrianidis Lois , Sykas Theodosis , Sachini Evi , Karampekios Nikolaos 
Published: June 2023

PurposeThe study aims to investigate the impact of highly skilled emigration from Greece on the innovation performance of the Greek economy.Design/methodology/approachThe study draws on a new, census-scale, database that includes all the Greek Ph.D. holders and on statistical information pooled from various secondary sources.FindingsThe mass emigration of highly educated Greek scientists that was exacerbated during the ten-year recession has had detrimental effects on Greece's innovation performance. Specifically, an increase in the number of highly skilled emigrants has a negative impact on scientific citations and on patent applications during the following year. An instrumental variable approach based on gravity model literature is employed to test the authors’ findings. The potential effects of these findings and policy suggestions are also discussed.Originality/valueThe study enriches the academic and policy discussion on the science and technology–related consequences of brain drain on the origin country. This is the first study that focuses on Greece – the country which experienced the highest emigration rates within the EU during the severe ten-year economic crisis – and sheds light on the impact of skilled emigration on its innovation performance.
Evaluation of the impact of leadership development on nurses and midwives underpinned by transformational learning theory: a corpus-informed analysis
Authors: Bond Carmel , Stacey Gemma , Westwood Greta , Long Louisa 
Published: June 2023

Purpose
The purpose of this paper is to evaluate the impact of leadership development programmes, underpinned by Transformational Learning Theory (TLT).

Design/methodology/approach
A corpus-informed analysis was conducted using survey data from 690 participants. Data were collected from participants’ responses to the question “please tell us about the impact of your overall experience”, which culminated in a combined corpus of 75,053 words.

Findings
Findings identified patterns of language clustered around the following frequently used word types, namely, confidence; influence; self-awareness; insight; and impact.

Research limitations/implications
This in-depth qualitative evaluation of participants’ feedback has provided insight into how TLT can be applied to develop future health-care leaders. The extent to which learning has had a transformational impact at the individual level, in relation to their perceived ability to influence, holds promise for the wider impact of this group in relation to policy, practice and the promotion of clinical excellence in the future. However, the latter can only be ascertained by undertaking further realist evaluation and longitudinal study to understand the mechanisms by which transformational learning occurs and is successfully translated to influence in practice.

Originality/value
Previous research has expounded traditional leadership theories to guide the practice of health-care leadership development. The paper goes some way to demonstrate the impact of using the principles of TLT within health-care leadership development programmes. The approach taken by The Florence Nightingale Foundation has the potential to generate confident leaders who may be instrumental in creating positive changes across various clinical environments.
Does Black Lives Matter support moderate the effect of procedural justice on legitimacy? Testing the procedural justice invariance thesis
Authors: Solomon Starr J. , Ehlinger Brandon 
Published: June 2023

PurposeProcedurally just policing positively affects legitimacy regardless of differences in some demographic and neighborhood characteristics. Yet, less is known about how critical citizen views of police influence the effect of procedural justice on legitimacy. Citizen Black Lives Matter (BLM) support is an indicator of views toward police and provides a useful measure to test the procedural justice invariance thesis. The purpose of this study is to examine if BLM support moderates the effect of procedural justice on legitimacy.Design/methodology/approachData from a survey experiment of Americans (n = 363) are used to explore whether BLM support moderates the effect of procedural justice on legitimacy.FindingsResults suggest BLM support is negatively associated with encounter-specific perceptions of police legitimacy and provides tentative evidence suggesting BLM support moderates the effect of the decision-making element of procedural justice on legitimacy. Specifically, the interaction suggests that at higher levels of BLM support, procedurally unjust decision-making reduces legitimacy. However, there was little erosion of legitimacy among BLM supporters during procedurally just encounters.Originality/valueThis study tests the procedural justice invariance thesis in a BLM context. Results support an association between BLM support and encounter-specific perceptions of police legitimacy and provide preliminary evidence that the effect of procedural justice on legitimacy may vary by levels of BLM support.
Sharing time and goals in dyads: how shared tenure and goal interdependence influence perceived shared mental models
Authors: van Rensburg Jandre J. , Santos Catarina M. , de Jong Simon B. 
Published: June 2023

Purpose
An underlying assumption in the shared mental model (SMM) literature is that SMMs improve whilst team members work together for longer. However, whether dyad members indeed have higher perceived SMMs with higher shared tenure has not been explored. This study aims to, therefore, firstly, investigate this idea, and we do so by focusing on perceived SMMs at the dyadic level. Secondly, because in today’s fast-paced world perceived SMMs often need to be built quickly for dyads to perform, we assess if goal interdependence can reduce the dyadic tenure required for higher perceived SMM similarity. Thirdly, we analyse if these processes are related to dyadic performance.

Design/methodology/approach
We collected a dual-source sample of 88 leader–member dyads across various industries. We conducted PROCESS analyses to test their first-stage moderated mediation model.

Findings
Results showed that dyadic tenure was positively related to perceived SMM similarity, and that goal interdependence moderated this relationship. Additionally, perceived SMM similarity mediated the relationship between dyadic tenure and dyadic performance. Lastly, the overall moderated mediation model was supported.

Originality/value
We contribute to the perceived SMM literature by: investigating perceived SMMs in dyads, testing a key idea regarding the influence of dyadic tenure on perceived SMMs and investigating how goal interdependence may prompt perceived SMM similarity earlier in dyadic tenure and, ultimately, improve dyadic performance.
Gastronomic tourism and smart solutions used for its development: the case of a region of Latvia
Authors: Zvirbule Andra , Auzina Anita , Grinberga-Zalite Gunta 
Published: June 2023

PurposeThe purpose of the study is to examine opportunities for gastronomic tourism development and smart solutions in the regions of Latvia.Design/methodology/approachThe methodology is based on a qualitative approach applied to examine the theoretical and legal frameworks for gastronomic tourism, as well as on a case study based on mapping and a typology of gastronomic tourism.FindingsAn analysis of priorities for the Kurzeme planning region (including Talsi municipality) in tourism development revealed that digitalization, the introduction of smart solutions important for travellers and the integration of the digital environment and innovative solutions into tourism services are specified in policy documents. An examination of a mapping of tourist services supplied in the Talsi municipality and the role of gastronomic tourism therein showed that such a mapping can serve as a basis for developing targeted smart and digital tourism products for Talsi municipality, which involves both the target audience and the typology of food tourist behaviour.Research limitations/implicationsThe examination of smart solutions for the regions of Latvia represented an in-depth case study of one municipality – Talsi. Talsi municipality was selected as a typical gastronomic destination, which offers a wide range of gastronomic tourism opportunities, and this kind of tourism is also referred to in the tourism development strategy of the municipality (region).Originality/valueThis study's contribution is determined by the constantly changing dynamic environment that fosters the differentiation of supply of tourism products, as well as the integration of smart solutions into tourism products. Gastronomic tourism in Latvia and the Baltic states plays a steady role in contributing to the recognition of the cultural environment and regional traditions; therefore, the supply of smart solutions is essential and significant from the regional perspective. The originality of the research is also determined by an examination of smart solutions for gastronomic tourism in the tourism products supplied in the region.
Frequency‐domain wavefield reconstruction inversion of ground‐penetrating radar based on sensitivity analysis
Authors: Zhong Shichao , Wang Yibo , Zheng Yikang 
Published: June 2023

AbstractGround‐penetrating radar full‐waveform inversion is a high‐resolution method for inverting permittivity and conductivity; however, the issue of multi‐parameter crosstalk during the inversion process, in which perturbations of permittivity and conductivity can produce nearly identical observed data, poses a challenge. Additionally, full‐waveform inversion is highly nonlinear and computationally expensive. In this study, we conducted a sensitivity analysis based on permittivity and conductivity perturbations, which demonstrates that their sensitivities vary with frequency. Specifically, conductivity perturbation has a larger impact on low‐frequency data, whereas permittivity perturbation increasingly affects high‐frequency data. Based on the sensitivity analysis, we propose a modified stepped inversion strategy to mitigate multi‐parameter crosstalk. We also employed wavefield reconstruction inversion, which relaxes the wave‐equation constraint as a penalty term and, thus, can help us avoid local minima of the objective function. In contrast, full‐waveform inversion is more prone to get stuck owing to mismatches between modelled and measured data during the inversion process. Finally, we tested the proposed approach on crosshole synthetic data, which achieved significant computational savings and higher inversion efficiency for fewer forward simulations. Our results demonstrate that the proposed approach is a promising method for inverting subsurface structures and has the potential for practical applications in the future.