bluuebunny/crossref_metadata_2025_split huggingface dataset:
A chill brain-music interface for enhancing music chills with personalized playlists
Authors: Kondoh Sotaro , Etani Takahide , Sakakibara Yuna , Naruse Yasushi , Imamura Yasuhiko , Ibaraki Takuya , Fujii Shinya 
Published: November 2024

AbstractMusic chills are pleasurable experiences while listening to music, often accompanied by physical responses, such as goosebumps1,2. Enjoying music that induces chills is central to music appreciation, and engages the reward system in the brain3–5. However, the specific songs that trigger chills vary with individual preferences6, and the neural substrates associated with musical rewards differ among individuals7–9, making it challenging to establish a standard method for enhancing music chills. In this study, we developed the Chill Brain-Music Interface (C-BMI), a closed-loop neurofeedback system that uses in-ear electroencephalogram (EEG) for song selection. The C-BMI generates personalized playlists aimed at evoking chills by integrating individual song preferences and neural activity related to music reward processing. Twenty-four participants listened to both self-selected and other-selected songs, reporting higher pleasure levels and experiencing more chills in their self-selected songs. We constructed two LASSO regression models to support the C-BMI. Model 1 predicted pleasure based on the acoustic features of the self-selected songs. Model 2 classified the EEG responses when participants listened to self-selected versus other-selected songs. Model 1 was applied to over 7,000 candidate songs, predicting pleasure scores. We used these predicted scores and acoustic similarity to the self-selected songs to rank songs that were likely to induce pleasure. Using this ranking, four tailored playlists were generated. Two playlists were designed to augment pleasure by selecting top-ranked songs, one of which incorporated real-time pleasure estimates from Model 2 to continuously update Model 1 and refine song rankings. Additionally, two playlists aimed to diminish pleasure, with one updated using Model 2. We found that the pleasure-augmenting playlist with EEG-based updates elicited more chills and higher pleasure levels than pleasure-diminishing playlists. Our results indicate that C-BMI using in-ear EEG data can enhance music-induced chills.
Gut Microbiota Regulates Exercise-induced Hormetic Modulation of Cognitive Function
Authors: Cintado Elisa , Muela Pablo , Martin-Rodriguez Lucia , Alcaide Ignacio , Tezanos Patricia , Vlckova Klara , Valderrama Benjamin , Bastiaanssen Thomaz FS , Rodríguez-Muñoz María , de Ceballos María L. , Aburto María R , Cryan John F , Trejo José Luis 
Published: November 2024

AbstractLifestyle factors, particularly physical exercise, significantly influence brain structure and cognitive function through a hormetic effect dependent on exercise intensity and duration. The underlying mechanisms of this profile remain largely unexplored. Recently, the gut microbiota, has emerged a potent modulator of lifestyle-induced changes on brain and behavior. Here, we demonstrate that a 40-minute protocol of moderate exercise enhances cognitive abilities related to object recognition and memory, and increases hippocampal neurogenesis in adult mice compared to sedentary controls, but these cognitive and neurogenic benefits vanish when the exercise intensity or duration is increased. Furthermore, we identified significant alpha- and beta-diversity changes and distinct bacteria composition profiles of gut microbiota associated with different exercise regimens. Specific bacterial families showed altered relative abundances depending on exercise intensity and duration, with certain families’ quantities significantly correlating with cognitive performance (Angelakisella, Acetatifactor, Erysipelatoclostridium, andCoriobacteriaceaeUCG-002.). To parse causal mechanisms, fecal microbiota transplantation from exercised to sedentary mice replicated the cognitive and brain structural improvements observed in the donor animals. These findings suggest that the hormetic effects of physical exercise on cognitive function and neurogenesis are mediated by corresponding changes in the gut microbiota, indicating a novel mechanistic link between exercise, brain, and gut microbiota composition.
Opposing effects of rewarding and aversive stimuli on D1 and D2 types of dopamine-sensitive neurons in the central amygdala
Authors: Bijoch Łukasz , Szczypkowski Paweł , Wiśniewska Justyna , Pawłowska Monika , Hajdukiewicz Karolina , Łapkiewicz Radek , Beroun Anna 
Published: November 2024

AbstractDopamine-sensitive neurons are organized in two classes of cells, expressing D1- or D2- types of dopamine receptors, and are often mediating opposing aspects of reward-oriented behaviors. Here, we focused on dopamine-sensitive neurons in the central amygdala – a brain structure critically involved in processing emotion-related stimuli. We discovered that both dopamine receptor types are present in the central medial nucleus, while the lateral part is populated predominantly with DRD2 cells. Exposing mice to rewarding and aversive stimuli we studied DRD1 and DRD2 cells activity usingin vivotwo-photon calcium imaging in the CeM. We showed that cocaine and sugar predominantly increase the activity of DRD1(+) neurons and decrease DRD2(+) cells. Repeated exposure to cocaine, however, had the opposite effect on spontaneous excitatory synaptic transmission in the CeM than exposure to sugar. Quinine, an aversive stimulus, primarily engaged DRD2(+) neurons, activating predominantly those cells that were previously inhibited by sugar exposure. Our results show that though DRD1 and DRD2 populations are differentially engaged and regulated by appetitive/aversive stimuli, both participate in sugar, cocaine, and quinine processing.
Single-nuclei transcriptomes in the hypothalamus and POA of a highly social cichlid
Authors: Miller-Crews Isaac , Hofmann Hans A. 
Published: November 2024

ABSTRACTHow does complex behavior arise from the genome across biological levels? Specific cell types have evolutionarily conserved functional roles in regulating and maintaining various aspects of social behavior. There is a long history of research demonstrating how specific cells in the hypothalamus and POA are critical in regulating social status and reproductive behavior. This cell function is dependent not just on one gene, but the entire gene expression network working within each cell. The brain is a heterogenous tissue made up of a broad diversity of cells. Targeting the cellular-level transcriptomes in socially relevant brain regions enables the identification of social status mediators. Single-nuclei RNA-sequencing (snRNA-seq) provides the resolution to identify cell-specific transcriptomes, with more practical benefits compared to single-cell approaches. Single-nucleus sequencing of neuronal tissue has remained fairly limited to model mammalian organisms. Here we performed snRNA-seq in the hypothalamus and POA ofAstatotilapia burtoni, a fish system ideal for social neuroscience. MaleA. burtoniare characterized by plastic phenotypes associated with social status, dominant and subordinate, with well-established differences in neural gene expression patterns and specific neuron morphology. This provides a novel opportunity to apply snRNA-seq in a complex tissue of a non-model system using hypothesis driven approaches. We show how changes in social status are linked to distinct transcriptomic profiles at the cellular level.
Triplet supercurrents in lateral Josephson junctions with a half-metallic ferromagnet
Authors: Junxiang Yao , Fermin Remko , Cabero Mariona , Lahabi Kaveh , Aarts Jan 
Published: November 2024

In the area of superconducting spintronics, spin-triplet supercurrents in half-metallic ferromagnets (HMFs) could yield dissipationless spin transport over large distances and high current density. Promising among the HMFs is the perovskite oxide La0.7Sr0.3MnO3 (LSMO), and recent studies in combination with the high-Tc superconductor YBa2Cu3O7, or the conventional superconductor NbTi, showed long-range effects. Here we focus on two issues that as yet have received less attention: the value of the critical current in the HMF in the limit of a very small electrode distance (20 nm) and the nature of the spin-triplet generator. We use lateral junctions shaped as a bar, square, and disk, and find high supercurrent densities of the order of 1011 A/m2, pointing to an efficient triplet generation mechanism. This is surprising in the sense that no magnetic inhomogeneity is purposely built in, as is done in conventional metal triplet junctions. Furthermore, from the magnetic field dependence of the critical current interference patterns, we find a uniform supercurrent distribution in bar-shaped devices, but one more constricted to the rim in disk devices, which is an expected consequence of the geometry. We also analyze the temperature dependence of the critical current and find the quadratic dependence that was predicted in the limit of small junction lengths. From studying the NbTi/LSMO interface with scanning electron transmission microscopy, we conclude that the magnetic inhomogeneity required for triplet generation resides in the LSMO layer adjacent to the interface.

Published by the American Physical Society
2024
The impact of improving element quality on the comprehensive production capacity of grain: evidence from high-standard farmland construction
Authors: Sun Xuetao , Zhao Yu , Zhang Guangsheng 
Published: November 2024

PurposeChina’s overall grain production efficiency is currently relatively low, and how to improve it is key to high-quality grain development. High-standard farmland construction fills the gaps in grain production, providing a path for improving comprehensive grain production capacity.Design/methodology/approachThis paper analyzes grain production data from 281 Chinese cities and uses the meta-Malmquist index to calculate total factor productivity (TFP) of grain and the spatial autoregressive model with spatial error (SARAR) model to analyze the impact of high-standard farmland construction on TFP of grain. Finally, it tests the model for robustness and heterogeneity.FindingsTFP of grain has room for improvement, and technological efficiency has a greater impact on it than technological progress. TFP of grain in the eastern region is significantly higher than that in central and western regions. High-standard farmland construction can significantly improve TFP and technology efficiency of grain, and its economic benefits are directly affected by the differences in regional grain economic development. High-standard farmland construction improves TFP of grain through agricultural mechanization, and its impact is heterogeneous; TFP of grain in the (poor, plain) eastern region is more likely to share its benefits.Originality/valueThis paper evaluates whether high-standard farmland construction has achieved its purpose of enhancing comprehensive grain production capacity. It offers novel insights into elevating element quality and comprehensive grain production capacity, provides a theoretical reference from the perspective of element quality and draws corresponding policy implications for high-standard farmland.
An investigation into the major barriers to the adoption of electric vehicles in last-mile deliveries for sustainable transport
Authors: Dadashzada Imamali , Garza-Reyes Jose Arturo , Roy Ghatak Ranjit , Gonzalez-Aleu Fernando 
Published: November 2024

Purpose Although electric vehicles (EVs) offer promising solutions for reducing transport emissions, several obstacles hinder their adoption, and supply chain (SC) stakeholders must systematically identify and address these challenges. Prior research has explored barriers to EV adoption but lacks a global focus on last-mile delivery (LMD). Our study aims to fill this gap, providing a foundation for future research and aiding organizational shifts towards sustainable transportation.Design/methodology/approach Our study identifies 21 critical barriers to EV deployment in LMDs, validated through a quantitative survey involving 157 SC experts. The survey data are analysed using Exploratory Factor Analysis (EFA), which identifies four distinct dimensions encapsulating the identified barriers. Based on consultations with five experts, the Analytical Hierarchy Process (AHP) ranks these dimensions and individual impediments globally.Findings The study finds “Energy and Infrastructure Barriers” and “Financial and Resource Barriers” to be the most significant hindrances. Noteworthy individual barriers include the absence of fast-charging stations, insufficient electricity provision and the need for investment in Power Grid upgrades.Originality/value This research contributes to the existing literature by offering a robust methodology for classifying and ranking EV adoption barriers through EFA and AHP. It thus provides a globally applicable framework for stakeholders to devise targeted strategies for overcoming these barriers.
Shaping pro-environmental behaviors through eco-diaries and research-based projects: an experimental study of business students at Yangzhou University
Authors: Qin Ying , Qin Chengbin 
Published: November 2024

Purpose
This paper aims to identify the effects of two types of teaching approaches, namely, project-based learning and place-based learning, on the development of pro-environmental behaviors among university students.

Design/methodology/approach
This study used a pre-test–post-test experimental design to evaluate the efficacy of project- and placed-based learning in promoting pro-environmental behaviors among university students. Participants were randomly allocated to either the project-based learning cohort (consisting of 50 participants) or the place-based learning cohort (also consisting of 50 participants). The pre-test assessments evaluated the initial pro-environmental behaviors of the participants. Then, interventions were conducted with the help of instructors. The project-based learning intervention necessitated participants to collectively take part in real-life problem-solving endeavors about environmental matters. On the other hand, the place-based learning intervention prompted participants to record and contemplate their interactions with the surrounding environment. Both interventions sought to augment participants’ understanding, beliefs and actions related to the environment. After the interventions, post-test assessments were carried out to assess any alterations in participants’ pro-environmental behaviors. Mean analysis and paired sample t-test were performed to examine the differences among the pre-test and post-test for both project- and place-based learning.

Findings
The findings of this study indicate that the participants have exhibited improved pro-environmental behaviors, including environmental activism, non-activist behaviors and private sphere green behaviors.

Originality/value
This research is original in its analysis of project- and place-based learning approaches for fostering pro-environmental behaviors. By using a pre-test–post-test experimental design, this study provides empirical evidence on the effectiveness of these active learning strategies in shaping environmental attitudes and actions.
Exploring and narrating futures in undergraduate climate change education: an innovative teaching approach
Authors: Liu Shu-Chiu 
Published: November 2024

Purpose
This study aims to focus on an innovative undergraduate teaching intervention designed to guide students in exploring and narrating the potential futures of climate change. The intervention aimed to reduce the psychological distance associated with climate change by systematically investigating futures in real-world contexts. The study had two objectives: to examine students’ learning outcomes by analysing their visions of a carbon-neutral future towards the end of the intervention and to measure the intervention’s impact on students’ understanding of climate change and their perceived ability to contribute effectively.

Design/methodology/approach
The intervention was implemented over two consecutive semesters. Data for analysis included student narratives from the final assignment (N = 140), where they envisioned life in a carbon-neutral city, and pre-/post-instruction surveys (N = 37) assessing content knowledge and action competence.

Findings
Content analysis of student narratives revealed 12 distinct themes, encompassing infrastructural and technological advancements, lifestyle adaptations and shifts in societal attitudes towards sustainability. Statistical analysis of the survey data demonstrated significant improvements in both variables. These findings suggest that the teaching intervention effectively enhanced students’ scientific understanding of climate change, increased their self-perceived ability to take action and fostered a realistic sense of life in a sustainable future.

Originality/value
This research introduces a novel teaching intervention exploring and narrating climate change futures. Analysing personal narratives provides fresh insights into how young individuals envision sustainable living within the context of climate change, thereby contributing a unique perspective to climate change education and future studies.
Evaluating India’s FDI as a nonparticipant in the Belt and Road Initiative: synthetic control method analysis
Authors: Elish Eman , Ahmed Hossameldin 
Published: November 2024

Purpose
The Belt and Road Initiative (BRI) was launched in 2013 and implemented the following year, marking 11 years since its inception. During this time, numerous research papers have been published that analyse the initiative’s objectives, targets and potential outcomes. This study aims to assess India’s resilience in joining the BRI by examining its net foreign direct investment (FDI) compared to a counterfactual scenario involving participation in the initiative.

Design/methodology/approach
The synthetic control method (SCM) will be used using a panel of 27 countries from 1990 to 2021.

Findings
The findings reveal that India’s FDI trajectory has decreased compared to that of synthetic India constructed from BRI member countries.

Research limitations/implications
This research outcome can assist India and other nations that are contemplating joining the BRI to systematically evaluate the potential political and economic risks and benefits associated with the initiative. This evaluation can guide individual decision-making processes regarding the BRI on a case-by-case basis and with other outcomes that are deemed viable to each country.

Originality/value
This research is distinct from other studies because it uses a novel SCM analysis, which is a quasi-experimental technique that assesses actual outcomes rather than predicting them, as in conventional regression models. In addition, previous research has primarily focused on the political aspects of the initiative; however this study focuses on the economic aspect of the BRI by evaluating its impact on FDI.
The impact of sustainability assurance levels on market capitalization: the case of French firms
Authors: Klibi Emna , Damak Salma , Elwafi Oumayma 
Published: November 2024

Purpose
This study aims to examine whether the financial market rewards the sustainable companies by investigating the impact of sustainability assurance levels on market capitalization of the CAC 40 firms. This analysis is complemented by examining the role of company characteristics to investors, providing a clearer picture of the functioning of the capital market.

Design/methodology/approach
To analyze the effect of sustainability assurance levels on market capitalization for the period 2011–2021, this study used a simplified version of the linear information model which is based on Ohlson model (1995) and Crouse (2007). This model is a multiple linear regression model which will be applied to panel data.

Findings
The study found that sustainability assurance levels negatively impact market capitalization. Higher investment decisions occur when sustainability reports have limited assurance, likely due to resource waste and costs exceeding income. In addition, net income, corporate social responsibility (CSR) indexes, leverage and performance significantly influence market capitalization.

Practical implications
This study offers valuable insights for both companies and investors, providing guidance on making investment decisions based on varying levels of sustainability assurance.

Originality/value
The current study sheds light on a relatively unexplored area regarding the connection between sustainability assurance and market reaction. Hence, this research focuses on a novel aspect of sustainability assurance by investigating how firm visibility in terms of sustainability practices impacts market capitalization.
Cold start and hot feedback: a knowledge sharing and governance model considering individual willingness from a prospect theory perspective
Authors: Zou Ji , Li Mengya , Yang Delin 
Published: November 2024

Purpose
This study aims to address the issue of perfunctory sharing that arises in knowledge governance due to a lack of willingness to share knowledge between individuals within the same organization. This knowledge-sharing process does not occur simultaneously for both parties but follows a sequential progression. Additionally, this governance model fully considers the willingness of both parties to share and effectively addresses the two knowledge characteristics that influence their willingness to do so.

Design/methodology/approach
This study follows inductive logic and primarily adopts an interpretive case study approach to conduct a longitudinal exploratory case study. An incubator enterprise with active knowledge-sharing activities and significant knowledge governance effects is selected as the research subject. The governance system is explained through the lens of prospect theory at the mechanism level.

Findings
In the study of the knowledge-sharing process, the authors observed a new challenge: perfunctory behavior, whereby individuals engage in knowledge-sharing activities that lack substantial effects as a way to avoid genuine sharing. From this, a new knowledge-sharing model was extracted, the cold start and hot feedback model, which follows a sequential (rather than simultaneous) progression. Using the deterministic effect of prospect theory and the principle of reference dependence, the governance mechanism of corporate knowledge sharing was analyzed from the perspective of knowledge-sharing willingness.

Research limitations/implications
Based on prospect theory, this study primarily explains how the governance mechanism influences the willingness to share knowledge from the perspective of four principles. In the future, threat rigidity theory and commitment escalation theory can be combined to further analyze the willingness to share knowledge from the perspectives of pressure and cost. Empirical research methods can also be used to test and enrich the research results of this paper.

Originality/value
After considering the willingness to share knowledge, a new knowledge-sharing model and corresponding knowledge-sharing governance model are proposed, and prospect theory is extended to the knowledge-based theory research field.