bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single-molecule detection of transient dimerization of opioid receptors 2: Heterodimer blockage reduces morphine tolerance
Authors: Zhou Peng , Kasai Rinshi S. , Fujita Wakako , Tsunoyama Taka A. , Ueda Hiroshi , Pigolotti Simone , Fujiwara Takahiro K. , Kusumi Akihiro 
Published: July 2024

AbstractHeterodimerization of opioid receptors (ORs), MOR, KOR, and DOR, is implied in their functional regulation and diversification, and thus its understanding is crucial for developing better analgesic treatments. However, our knowledge on OR heterodimerization/heterodimers remains limited. Here, using single-molecule imaging and functional analysis, we found that MOR, the main morphine receptor, repeatedly formstransient (≈250 ms) heterodimerswith DOR every 1-10 seconds, but not with KOR, whereas DOR and KOR also form transient heterodimers. We obtained all the heterodimer-monomer equilibrium constants and rate constants with/without agonists. We identified the critical heterodimer binding sites in the extracellular domains, in addition to the less-specific transmembrane domains, and developed soluble peptide blockers for MOR-DOR and DOR-KOR heterodimerization, using amino-acid sequences mimicking the extracellular binding sites. With these peptide blockers, we dissected the monomer/dimer roles in OR internalization and signaling. The soluble MOR-DOR heterodimer blocker reduced the development of long-term morphine tolerance in mice.
Investigating the antimicrobial and immunomodulatory effects of honeybee venom peptide apamin in theDrosophilagenetic platform
Authors: Wei Yanan , Jia Wenjie , Sun Yanying , Zhang Tianmu , Miao Hongyu , Wu Zekun , Dong Ran , Ning Fangyong , Kim Woo Jae 
Published: July 2024

ABSTRACTApamin, an 18-amino acid peptide neurotoxin, constitutes a significant portion of honeybee venom. Although traditionally recognized for its neurotoxic effects, our research demonstrates that apamin exhibits potent antimicrobial properties when genetically expressed inDrosophila. The antimicrobial efficacy of apamin is independent of its disulfide bonds and is enhanced when the peptide is membrane-tethered. This expression selectively targets and inhibits specific harmful bacterial species, such asPseudomonas aeruginosa,Enterococcus faecalis, andEscherichia coli, while promoting beneficial bacteria likeLactobacillus plantarumthereby improving the gut microbiome. The antimicrobial activity of apamin is localized to the gut and is associated with increased proliferation of intestinal stem cells, acidification of the midgut pH, and activation of enteroendocrine cell calcium signaling. Furthermore, apamin’s antimicrobial function is dependent on specific peptidoglycan recognition proteins, with PGRP-LA and PGRP-SCs being essential. Apamin expression alone is sufficient to restore the integrity of the gut barrier compromised by stressed conditions. Ultimately, apamin supplementation enhances honeybee gut health, particularly in the presence of ingested bacteria. The expression of other honeybee antimicrobial peptides also significantly reduces bacterial infection in flies. Overall, our study provides a comprehensive understanding of the molecular function and regulation of honeybee venom peptides and antimicrobial peptides, utilizing theDrosophilamodel system to unravel their mechanisms of action and therapeutic potential.
Modulation of Neuronal Excitability and Plasticity by BHLHE41 Conveys Lithium Non-Responsiveness
Authors: Stephan Marius , Papiol Sergi , Zhang Mingyue , Song Jie , Frommeyer Samuel M. , Haupt Helen , Jensen Niels , Kannaiyan Nirmal , Gupta Rajinder , Schuler Philipp , Picklmann Pia , McCarthy Michael , Schulte Eva , Landen Mikael , Falkai Peter , Scheuss Volker , Schulze Thomas , Zhang Weiqi , Rossner Moritz J. 
Published: July 2024

AbstractMany bipolar disorder (BD) patients are non-responsive to lithium. The mechanisms underlying lithium (non-)responsiveness are largely unknown. By using gene-set enrichment analysis methods, we found that core clock gene-sets are significantly associated with lithium response. Among the top hits wasBHLHE41, a modulator of the molecular clock and homeostatic sleep. Since BHLHE41 and its paralog BHLHE40 are functionally redundant, we assessed chronic lithium response in double-knockout mutant mice (DKO). We demonstrated that DKOs are non-responsive to lithium’s effect in various behavioral tasks. Cellular assays and patch clamp recordings revealed lowered excitability and reduced lithium-response in prefrontal cortical layer 2/3 DKO neurons and on hippocampal long-term potentiation. Single-cell RNA sequencing identified that lithium deregulated mitochondrial respiration, cation channel and postsynapse associated gene-sets specifically in upper layer excitatory neurons. Our findings show that lithium acts in a highly cell-specific way on neuronal metabolism and excitability and modulates synaptic plasticity depending on BHLHE40/41.
Curved vortex surfaces in four-dimensional superfluids. II. Equal-frequency double rotations
Authors: McCanna Ben , Price Hannah M. 
Published: July 2024

As is well known, two-dimensional and three-dimensional superfluids under rotation can support topological excitations such as quantized point vortices and line vortices, respectively. Recently, we have studied how, in a hypothetical four-dimensional (4D) superfluid, such excitations can be generalized to vortex planes and surfaces. In this paper we continue our analysis of skewed and curved vortex surfaces based on the 4D Gross-Pitaevskii equation and show that certain types of such states can be stabilized by equal-frequency double rotations for suitable parameters. This work extends the rich phenomenology of vortex surfaces in four dimensions and raises interesting questions about vortex reconnections and the competition between various vortex structures which have no direct analog in lower dimensions.

Published by the American Physical Society
2024
Observing black hole mergers beyond the pair-instability mass gap with next-generation gravitational wave detectors
Authors: Franciolini Gabriele , Kritos Konstantinos , Reali Luca , Broekgaarden Floor , Berti Emanuele 
Published: July 2024

Stellar evolution predicts the existence of a mass gap for black hole remnants produced by pair-instability supernova dynamics, whose lower and upper edges are very uncertain. We study the possibility of constraining the location of the upper end of the pair-instability mass gap, which is believed to appear around mmin∼130M⊙, using gravitational wave observations of compact binary mergers with next-generation ground-based detectors. While high metallicity may not allow for the formation of first-generation black holes on the “far side” beyond the gap, metal-poor environments containing population III stars could lead to such heavy black hole mergers. We show that, even in the presence of contamination from other merger channels, next-generation detectors will measure the location of the upper end of the mass gap with a relative precision close to Δmmin/mmin≃4%(Ndet/100)−1/2 at 90% CL, where Ndet is the number of detected mergers with both members beyond the gap. These future observations could reduce current uncertainties in nuclear and astrophysical processes controlling the location of the gap.

Published by the American Physical Society
2024
Unpacking service failures in artificial intelligence: future research directions
Authors: Chopra Ritika , Bhardwaj Seema , Thaichon Park , Nair Kiran 
Published: July 2024

PurposeThe present study undertakes an extensive review of the causes of service failures in artificial intelligence (AI) technology literature.Design/methodology/approachA hybrid review has been employed which includes descriptive analysis, and bibliometric analysis with content analysis of the literature approach to synthesizing existing research on a certain topic. The study has followed the SPAR-4-SLR protocol as outlined by Paul et al. (2021). The search period encompasses the progression of service failure in AI from 2001 to 2023.FindingsFrom identified theories, theoretical implications are derived, and thematic maps direct future research on topics such as data mining, smart factories, and among others. The key themes are being proposed incorporates technological elements, ethical deliberations, and cooperative endeavours.Originality/valueThis research study makes a valuable contribution to understanding and reducing service defects in AI by providing insights that can inform future investigations and practical implementations. Six key future research directions are derived from the thematic and cluster discussions presented in the content analysis.
Linear stability analysis of micropolar nanofluid flow across the accelerated surface with inclined magnetic field
Authors: Mahabaleshwar U.S. , Sachin S.M. , Vishalakshi A.B. , Bognar Gabriella , Sunden Bengt Ake 
Published: July 2024

Purpose
The purpose of this paper is to study the two-dimensional micropolar fluid flow with conjugate heat transfer and mass transpiration. The considered nanofluid has graphene nanoparticles.

Design/methodology/approach
Governing nonlinear partial differential equations are converted to nonlinear ordinary differential equations by similarity transformation. Then, to analyze the flow, the authors derive the dual solutions to the flow problem. Biot number and radiation effect are included in the energy equation. The momentum equation was solved by using boundary conditions, and the temperature equation solved by using hypergeometric series solutions. Nusselt numbers and skin friction coefficients are calculated as functions of the Reynolds number. Further, the problem is governed by other parameters, namely, the magnetic parameter, radiation parameter, Prandtl number and mass transpiration. Graphene nanofluids have shown promising thermal conductivity enhancements due to the high thermal conductivity of graphene and have a wide range of applications affecting the thermal boundary layer and serve as coolants and thermal management systems in electronics or as heat transfer fluids in various industrial processes.

Findings
Results show that increasing the magnetic field decreases the momentum and increases thermal radiation. The heat source/sink parameter increases the thermal boundary layer. Increasing the volume fraction decreases the velocity profile and increases the temperature. Increasing the Eringen parameter increases the momentum of the fluid flow. Applications are found in the extrusion of polymer sheets, films and sheets, the manufacturing of plastic wires, the fabrication of fibers and the growth of crystals, among others. Heat sources/sinks are commonly used in electronic devices to transfer the heat generated by high-power semiconductor devices such as power transistors and optoelectronics such as lasers and light-emitting diodes to a fluid medium, thermal radiation on the fluid flow used in spectroscopy to study the properties of materials and also used in thermal imaging to capture and display the infrared radiation emitted by objects.

Originality/value
Micropolar fluid flow across stretching/shrinking surfaces is examined. Biot number and radiation effects are included in the energy equation. An increase in the volume fraction decreases the momentum boundary layer thickness. Nusselt numbers and skin friction coefficients are presented versus Reynolds numbers. A dual solution is obtained for a shrinking surface.
Accurate targeting in social assistance programs in Southern Madagascar
Authors: Raholiarimanana Fanantenana , Ishida Akira 
Published: July 2024

Purpose
Social assistance programs have been implemented in Madagascar to assist the most vulnerable and neediest poor in achieving a minimum standard of living during critical times. In the Grand South and Southeast Madagascar, where climate change, price fluctuations and sociopolitical instability threaten the population’s livelihood, the effectiveness of such aid-based programs is uncertain because of possible mistargeting. This study aims to assess the accuracy of the targeting methodology of four different types of social protection programs in Southern Madagascar.

Design/methodology/approach
The authors draw evidence from a national representative data set and use multiple techniques that integrate targeting performance and regression-based analyses.

Findings
Results show that cash transfers constitute the only program that effectively reaches the poorest 20% living in drought- and cyclone-affected regions. However, mistargeting is likely to occur in food, seed transfers, and the HIMO public works programs. Social inclusion information related to proximity to urban zones, religious affiliation, and number of long-lasting insecticide-treated nets are significantly associated to all program participation. Nevertheless, a serious under-coverage of the eligible poor is noted for Southern Madagascar.

Originality/value
This study is among the first to evaluate the targeting effectiveness of social programs in Madagascar. It introduces a novel approach to evaluating the poverty rate by utilizing a composite-based wealth score. The authors enhance the classic targeting assessment methodology by incorporating geospatial covariates, categorical, geographical and social network information into an econometric model. The study provides a comprehensive view of the main profile of beneficiaries reached by four social assistance programs in Southern Madagascar.
Implementation of block-chain technology in the European Union energy payments and logistic
Authors: Gholizadeh Younes 
Published: July 2024

Purpose
The purpose of this paper that will address in this paper are: how to implement and test a reliable Block-chain-based energy system for the EU energy payments and logistic? What are the main results, impacts and implications of a Block-chain-based energy system for the EU energy payments and logistic?

Design/methodology/approach
The main aim of this study is to propose a Block-chain-based method to offer a secure, reliable and transparent method for energy logistic and payments for European Energy Transactions. To accomplish that aim, the research method of the study follows the design science research approach of smart contracts in the EU Energy logistic and payments. This research approach mainly consists of five sequential steps which are (1) problem and motivation identification, (2) solution objectives definition, (3) design and development and (4) demonstration and evaluation.

Findings
Results of data model demonstrate that the Block-chain-based energy system here can be used for any EU energy payments and logistics. Based on the data results of the model that mentioned above enhance the security and the integrity of the energy payments and logistic by using cryptographic techniques and consensus mechanisms to prevent and detect any tampering or falsification of the data on the Block-chain.

Originality/value
This paper represents a genuine piece of research that contributes to the field by providing new insights and understanding. The findings presented are the result of rigorous analysis and have not been previously published or submitted elsewhere for consideration.
The use of the Internet of Things to increase energy efficiency in manufacturing industries
Authors: Reichardt Anna , Murawski Matthias , Bick Markus 
Published: July 2024

Purpose
As one of the most energy-intensive sectors, the manufacturing industry is strongly affected by current economic, ecological and political issues and is increasingly looking to reduce its energy consumption through effective management. One important component of energy management is monitoring, which can be improved by using the Internet of Things (IoT). This study aims to identify the factors behind the adoption of IoT energy monitoring systems in manufacturing industries and IoT’s impact on consumption in this context. Moreover, this study explores what constitutes successful implementation and develops recommendations on how companies can best use the generated energy-saving potential.

Design/methodology/approach
For this purpose, an exploratory, inductive research approach is taken in which five semi-structured interviews with IoT energy-monitoring platform providers located in Germany are conducted and additional documents about these platforms are analysed.

Findings
Based on these interviews and documents, this study defines the relevant factors involved in the increased adoption of IoT energy monitoring systems as desired cost reduction, regulatory requirements and customer expectations. Once implemented, a company’s energy efficiency potential strongly depends on its individual situation; however, the transparency characteristic of IoT supports managers in deriving effective energy-saving measures. Additionally, the used efficiency potential is influenced by the level of data collection and organisational capabilities.

Originality/value
To the best of the authors’ knowledge, as the first study, this research combines findings from the energy management and IoT research streams and places them into an organisational context. The application of the fit-viability model as an overarching framework enhances the theoretical contributions of this study. Moreover, focusing on Germany and its substantial industrial sector enables the gathering of important insights and the analysis of the specific use case of industrial IoT, which yields new findings for practitioners as well.
The impact of board gender diversity on firm performance: does critical mass matter?
Authors: Jayaraman J.D. , Smita R. , Nilakantan Narasinganallur 
Published: July 2024

PurposeThe study aims to investigate the impact of board gender diversity (BGD) on firm performance (FP) by testing two hypotheses – the existence of a positive relationship between BGD and FP, and the moderating role of a critical mass of female directors on FP. The study also explores whether the association varies across different industries.Design/methodology/approachThe authors collect data using Bloomberg and CMIE Prowess, from the Bombay Stock Exchange (BSE) 500 index for the period 2008–2018 and employ a robust statistical methodology (Dynamic Panel Data Model).FindingsA critical mass of female directors positively moderates and strengthens the relationship between BGD and FP. The study fails to find evidence of a direct association between BGD and FP. The study also finds evidence of industry effects.Research limitations/implicationsThough we use a very robust statistical methodology, any modifications in the methodology or choice of a different methodology are likely to change the results. Moreover, some of the findings are statistically significant at the 10% level.Practical implicationsThe findings of our study hold particular significance for emerging economies like India where regulatory initiatives aim to enhance gender diversity within boardrooms.Originality/valueThe study contributes to the critical mass literature by examining the association between a critical mass of female directors as a moderating variable of BGD and FP. Further, the study also identifies those industries which show a positive association between FP and BGD.
Playlists and genre: the role of music genre in Spotify’s playlists
Authors: McDonald Callum , Foster Allen Edward , Rafferty Pauline 
Published: July 2024

PurposeGenre is a valuable access point for popular music collections; however, the blurring of genre boundaries combined with changing listening habits and new forms of classification have brought genre’s importance into question. The playlist is now a common means of classification on music streaming platforms. Recent commentary suggests that context is now a preferred access point. This exploratory study offers an examination of genres’ role in playlists.Design/methodology/approachA mixed-methods study investigates, using Spotify, whether genre retains relevance amidst the rise in popularity of playlist-based music classification. Sample size is noted as a limitation of the study.FindingsQualitative coding of user and editorial playlist names revealed less than 20% of codes applied were genre-based. However, when non-genre themes were differentiated, genre themes ranked as one of the most prevalent. Context-based themes were most common, though genre was readily combined with other descriptive themes, highlighting its utility. Quantitative analysis of genre tags showed playlists with context-based themes demonstrated higher genre homogeneity than those using generic themes, indicating playlists were named on a genre-by-proxy basis.Originality/valueThe study suggests that genre continues to play an integral role in a field where an eclectic variety of descriptive themes has emerged, although its role may have changed. Context-based themes are central to the way users organise music, though such terms can often serve as containers for music collections sharing distinct generic and musicological similarities.
Can supervisor reminders help prevent fraud in the mutual funds sector
Authors: Al-Zyoud Hussein , Wang Eric Zengxiang , Ali Shahid , Liu Weiming 
Published: July 2024

Purpose
This study is based on the enforcement record from Canada’s natural mutual fund regulator. This record documented a small subset of mutual fund dealers who had been disciplined for their misconduct from 2007 to 2014. The purpose of this paper is to determine what factors contribute to mutual fund dealers’ time to first financial fraud offense. The longer the time to fraud, the healthier the mutual fund industry and the better a mutual fund dealer’s career.

Design/methodology/approach
Based on the belief that adversity reveals true character, the study approaches a mutual dealer’s career success from human capital, socio-demographic and organizational sponsorship points of view by measuring dealers’ success as their time from career beginning to first instance of financial fraud. Ordinary least square regression analysis was used to identify if those factors, including provision of supervisor reminders, gender, position and penalties, are related to career success within the Canadian mutual fund regulatory framework. The research is based on a small sample of mutual fund dealers who had been disciplined for their misconduct from 2007 to 2014.

Findings
The study finds that a supervisor’s reminders positively contribute to the career success of a mutual fund dealer in the form of extending their time to fraud. As well, being female is an adverse factor to career success even when both female and male dealers received about the same level of supervisor reminders. It also finds that being in a management position has no association with time to fraud.

Originality/value
The study establishes the statistically significant positive relationship between time to fraud and supervisor’s reminders for mutual fund dealers. At the same time, it shows that human capital and access to organizational resources, measured by being in a management position, have no significant relation to when fraud is committed. This result indicates the value of continuing education for all mutual fund dealers, both inexperienced and experienced.