bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spike sorting AI agent
Authors: Lin Zuwan , Marin-Llobet Arnau , Baek Jongmin , He Yichun , Lee Jaeyong , Wang Wenbo , Zhang Xinhe , Lee Ariel J. , Liang Ningyue , Du Jin , Ding Jie , Li Na , Liu Jia 
Published: February 2025

AbstractSpike sorting is a fundamental process for decoding neural activity, involving preprocessing, spike detection, feature extraction, clustering, and validation. However, conventional spike sorting methods are highly fragmented, labor-intensive, and heavily reliant on expert manual curation, limiting their scalability and reproducibility. This challenge has become more pressing with advances in neural recording technology, such as high-density Neuropixels for large-scale neural recording or flexible electrodes for long-term stable recording over months to years. The volume and complexity of these datasets make manual curation infeasible, requiring an automated and scalable solution. Here, we introduce SpikeAgent, a multimodal large language model (LLM)-based AI agent that automates and standardizes the entire spike sorting pipeline. Unlike traditional approaches, SpikeAgent integrates multiple LLM backends, coding functions, and established algorithms, autonomously performing spike sorting with reasoning-based decision-making and real-time interaction with intermediate results. It generates interpretable reports, providing transparent justifications for each sorting decision, enhancing transparency and reliability. We benchmarked SpikeAgent against human experts across various neural recording technology, demonstrating its versatility and ability to achieve curation consistency that are equal to, or even higher than human experts. It also drastically reduces the expertise barrier and accelerates the curation and validation time by orders of magnitude. Moreover, it enables automated interpretability of the neural spiking data, which cannot be achieved by any conventional methods. SpikeAgent presents a paradigm shift in processing signals for neuroscience and brain-computer interfaces, while laying the ground for AI agent-augmented science across various domains.
Improving the performance of phase-change microcapsules for application in single spaces in hot climates
Authors: Diab Esraa , Motawa Ibrahim , Elshikh Mohamed 
Published: February 2025

PurposeThis study aims to design a high-performance building envelope system with a focus on evaluating energy savings considering the hot climate.Design/methodology/approachA thermal energy storage approach based on inorganic phase change material (PCM) was adopted to regulate both temperature and humidity conditions when added to building envelopes. The microencapsulation technology was used to form new PCM microcapsules by combining a humidity agent material with thermal conduction accelerating material to encapsulate an inorganic PCM. The relevant parameters of the thermophysical characteristics of the synthesized PCM microcapsules were tested and analyzed. Also, a numerical validation was done for the energy-saving evaluation of the new synthesized PCM microcapsules when used in a building envelope.FindingsThe study results showed that the new synthesized PCM microcapsules have high latent heat capacities and enhanced thermal conduction values. The simulation results conducted by the Conduction Finite Difference solution algorithm (CondFD) approved the efficiency of the proposed PCM compositions when added to a building envelope.Research limitations/implicationsDue to applying the PCM to the building envelope composition by the addition instead of the replacement method, the proposed design solutions are not suitable for improving the performance of lightweight construction.Originality/valueThis study provides a promising energy-efficient system for building envelopes. The study originality is represented in adding carbon nanoparticles as a shell material to overcome the low thermal conduction issue of PCMs. In addition to testing the impacts of different doses of the carbon shell material on the thermal performance of inorganic PCM microcapsules.
A moderated mediation model of relationship between artificial intelligence awareness and withdrawal behaviors
Authors: Nguyen Thi Phuong Linh , Nguyen Dinh Trung 
Published: February 2025

Purpose
This study aims to explore the relationship between artificial intelligence (AI) awareness and physical and psychological withdrawal behaviors of enterprises employees through the mediating roles of job security and emotional exhaustion as well as the moderating role of emotional intelligence.

Design/methodology/approach
Data were collected through a self-administered questionnaire from six fields with the highest level of AI application with a sample of 1,129 Vietnamese enterprises employees. Data were analyzed using SmartPLS, a bootstrapping technique was used to analyze the data. The mediating effect of job security and emotional exhaustion and the moderating effect of emotional intelligence were performed.

Findings
The research showed that the proposed moderated mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between AI awareness and physical and psychological withdrawal behaviors, as well as a mediating effect of job security and emotional exhaustion. The findings also confirmed that there is a moderating effect of emotional intelligence between AI awareness and job security, emotional exhaustion, physical and psychological withdrawal behaviors.

Research limitations/implications
Sample data was only collected at a few Vietnamese enterprises in six fields with the highest level of AI application which are e-commerce, transportation and logistics, education, real estate, finance and agriculture, which may be limiting generalizability of research results.

Practical implications
This study offers several practical and useful management implications, such as anticipating negative attitudes, feelings and behaviors of employees to prepare a response plan; conducting interviews, investigate employees’ AI awareness and do their best to minimize its negative effects on employees’ psychological states and behaviors; and paying attention to recruiting and selecting employees with good emotional intelligence.

Originality/value
This study contributes to the growing literature on AI by elucidating the mediating roles of job insecurity and emotional exhaustion in the relationship between AI awareness and physical and psychological withdrawal behavior. This study also makes a significant step forward in examining the moderating mechanisms of emotional intelligence in attenuating the effects of AI awareness on job insecurity, emotional exhaustion, physical and psychological withdrawal behavior.
Unlocking AI capabilities: exploring strategic fit, innovation ambidexterity and digital entrepreneurial intent in driving digital transformation
Authors: Ahmad Zeshan 
Published: February 2025

PurposeThe insurgence of the COVID-19 pandemic insinuated that family-owned small hotels (F-OSH) should adopt AI capabilities and innovation activities and digitize their operations to survive. This study examines the potential of AI capabilities to digitally transform F-OSHs by leveraging innovation ambidexterity, preparing them for future disasters proactively. Additionally, it sheds light on how the impact of AI capabilities on innovation ambidexterity varies based on strategic fit. In addition, this research explores the influence of digital entrepreneurial intention on fostering innovation ambidexterity, essential for digital transformation in F-OSHs.Design/methodology/approachThe study collected primary data from 318 descendant entrepreneurs designated as chairpersons or managing directors in F-OSH and analyzed the data using the partial least structural equation modeling technique.FindingsThis study found a positive association of AI capabilities, and digital entrepreneurial intention with the digital transformation of F-OSHs, while strategic fit does not have an association with innovation ambidexterity. Innovation ambidexterity mediates the relationship between AI capabilities and digital transformation in F-OSHs. Moreover, a strong strategic fit increases the effect of AI capabilities on innovation ambidexterity. Furthermore, a high intention for digital entrepreneurship reduces the impact of innovation ambidexterity on the digital transformation of F-OSHs.Practical implicationsThe combination of AI capabilities and innovation ambidexterity has transformed F-OSHs' digital transformation. This proactive approach to dealing with economic recessions such as COVID-19 is also influenced by digital entrepreneurial intention and strategic fit.Originality/valueAnchored on the dynamic capability theory, this study provides valuable insights and novel empirical evidence by investigating the mediating mechanism of innovation ambidexterity and boundary condition of strategic fit and digital entrepreneurial intention between AI capabilities and digital transformation in F-OSHs.
ChatGPT technology contribution in business innovation, policy and management
Authors: Alzoubi Yehia Ibrahim , Mishra Alok 
Published: February 2025

Purpose
This paper aims to discuss a novel artificial intelligence (AI) model known as Generative Pretrained Transformer (GPT), specifically ChatGPT, and its potential applications in the corporate sphere. It highlights the significance of ChatGPT in the realms of corporate innovation, management and policymaking.

Design/methodology/approach
ChatGPT is explained as an AI language model produced by OpenAI, using the GPT framework and extensive training on natural language data. This paper addresses the model’s capabilities to respond to natural language queries resembling human interactions by reviewing the available literature as well as the professional websites.

Findings
This paper discusses the advantages of ChatGPT in a business context, emphasizing its potential benefits. It also critically examines the limitations of ChatGPT, including ethical considerations, data interpretation challenges, reliability and privacy-related issues.

Originality/value
This paper contributes to the discourse surrounding ChatGPT’s role in business innovation, management and policymaking. It highlights both the potential and limitations of this AI technology, offering insights into its implications and future research directions for corporate applications.
A Clinical Isolate of Human Parainfluenza Virus 3 (Fukushima/O695/2019) Contains a Mutation in the Serial Guanosines in the RNA Editing Site of the P Gene and Produces an Atypical Number of Nongenomic Guanosine Insertions During RNA Editing
Authors: Shirato Kazuya , Kawase Miyuki , Suwa Reiko , Kakizaki Masatoshi , Sugimoto Satoko , Kume Yohei , Chishiki Mina , Ono Takashi , Okabe Hisao , Norito Sakurako , Hosoya Mitsuaki , Ujike Makoto , Hashimoto Koichi 
Published: February 2025

ABSTRACTHuman parainfluenza virus 3 (HPIV3) contains a purine‐rich RNA editing site, allowing multiple viral proteins to be produced from a single gene by the posttranscriptional addition of G nucleotides. The Fukushima/O695/2019 (O695) HPIV3 clinical isolate has a G‐to‐A substitution at the last position of five serial G residues in the RNA editing site. This study evaluates the effects of this substitution in the RNA editing site on the biological character of HPIV3. Our results show that O695 has slightly reduced viral replication compared with viruses with an intact RNA editing site. The number of G nucleotides inserted into the RNA editing site in HPIV3 isolates with an intact RNA editing site was 5 or fewer in most cases, giving a total of 10 serial G bases (5 + 5). In contrast, the number of G nucleotides inserted into the RNA editing site in O695 showed an atypical pattern, with six or fewer in most cases. This resulted in a total of 10 (4 + 6), suggesting the additional insertion of one more nongenomic G to the mRNA of the P gene of O695 compared with viruses carrying no mutations in the RNA editing site. Phylogenetic analysis reveals that mutations in the RNA editing site occur sporadically with various mutation patterns, suggesting that these mutations are routinely selected for during the life cycle of HPIV3.
The Effectiveness of Macroprudential Policies on Credit Growth in Vietnam
Authors: Dinh Thi Thu Hong , Huu Nguyen Tuan 
Published: February 2025

ABSTRACTThis study presents a comprehensive analysis of the effectiveness of macroprudential policies on credit growth in Vietnam. It introduces an advanced approach to create a macroprudential index (MPI) that measures the state of macroprudential policy. The MPI is then applied to a high‐frequency database on a monthly basis to estimate its impact on real credit growth and the country's credit growth cycle. The study's comprehensive nature is evident in the manual survey of the policies of the State Bank of Vietnam and the information published by commercial banks from January 1999 to June 2023. The findings reveal that, unlike flexible monetary policy, macroprudential policy tools have gained prominence and have been tightened since 1999. Moreover, empirical evidence suggests that tightening macroprudential policies in Vietnam has helped reduce real credit growth, although they have not been effective in smoothing real credit growth cycles.
The Dutch Exile Community in King's Lynn: A Forgotten Moment in Anglo‐Dutch Contact
Authors: JOBY CHRISTOPHER 
Published: February 2025

AbstractBefore, during and after the start of the Dutch Revolt, thousands of people, principally Calvinists, left the Low Countries for England. They established communities in more than twenty towns including the borough of King's Lynn in west Norfolk. Exiles from Flanders and Holland began arriving in Lynn in 1567, and they soon established a Calvinist church community there. A 1571 census indicates that the exile community had more than 200 members, many of whom worked in the textile trade. In 1572, in the early months of the Dutch Revolt, the minister returned to the Low Countries. Thereafter, we have little information on the exile church in Lynn, although exiles did continue to produce textiles, which were sealed in Norwich. This article analyses the history of the exile community and church in Lynn. It addresses questions such as where the exiles came from, why they moved to Lynn and the practices and positions they adopted and networks they created. Furthermore, it explores the relationship between the exile communities in Lynn and Norwich. Several of the church leaders returned to the Low Countries. The article therefore explores their role in building the Reformed Church there. Finally, it challenges previous historiography on Calvinist exiles in Norfolk by suggesting that attention should be paid not only to the exile communities in Norwich but also to those in other Norfolk towns such as Lynn.
Relapse in substance‐induced psychosis and associated risk factors. A Nationwide register‐linkage study from Sweden
Authors: Ellilä Venla , Taipale Heidi , Tiihonen Jari , Mittendorfer‐Rutz Ellenor , Niemelä Solja 
Published: February 2025

AbstractBackground and AimsSubstance‐induced psychoses (SIP) have the potential to relapse and convert into schizophrenia‐spectrum disorders. However, risk factors associated with SIP relapse remain unknown. The aim of this study was to measure the incidence and risk of SIP relapse and associating risk factors.Design, setting and participantsPopulation based register study that identified people with first‐time SIP between 2006 and 2016 (n = 7320) from Swedish nation‐wide registers to examine incidence of relapse and associated risk factors during 2‐year follow‐up. Participants were censored to death, emigration and the diagnosis of other psychotic illness. Risk factors associated with relapse were studied using multivariable Cox models.MeasurementsSIP was measured via related diagnostic codes (ICD‐10: F1x.5) collected from the National Patient Register (NPR). SIP relapse was measured as hospitalization due to SIP during 2‐year follow‐up also collected from the NPR. Potential risk factors included demographic characteristics, psychiatric comorbidities, sickness absence and disability pension collected from nationwide registers.FindingsOf the study population (n = 7320), 20.0% (n = 1463) had a SIP relapse during the follow‐up (median time 126 days, interquartile range 56–321) and 83.3% had the same type of SIP as their first SIP. Relapse was most common for those whose first SIP was induced by cannabis (25.7%), followed by multi‐substance use (23.8%) and (meth)amphetamine (19.7%). Factors associated with SIP relapse were previous substance use disorder [hazard ratio (HR) = 1.37, 95% confidence interval (CI) = 1.20–1.56], younger age (16–29 years, HR = 1.29, 95% CI = 1.05–1.58, versus 50–65), being born abroad (HR = 1.23, 95% CI = 1.07–1.41), attention deficit hyperactivity disorder (HR = 1.21, 95% CI = 1.05–1.39), having had 1–90 days sick leave during the previous year (HR = 1.19, 95% CI = 1.01–1.44), and cannabis‐ (HR = 2.42, 95% CI = 1.98–2.96), (meth)amphetamine‐ (HR = 1.49, 95% CI = 1.23–1.81) or multi‐substance‐ (HR = 1.81, 95% CI = 1.52–2.15) induced psychosis compared with alcohol‐induced psychosis.ConclusionsIn Sweden, 20% of people with substance‐induced psychosis between 2006 and 2016 had a relapse within 2 years follow‐up. Cannabis‐induced psychosis had the shortest time lapse between episodes. Risk factors for relapse included attention deficit hyperactivity disorder, substance‐use disorder, younger age, previous sickness absence and being born outside Sweden.
Gender differences in circumstances associated with cannabis use
Authors: Martin Erin L. , Baker Nathaniel L. , Ramakrishnan Viswanathan , Neelon Brian , Saladin Michael E. , McRae‐Clark Aimee L. 
Published: February 2025

AbstractBackground and ObjectivesIdentifying circumstances associated with cannabis use is critical to the development of effective interventions for cannabis use disorder (CUD) and circumstances may differ by gender. The Inventory of Drug Taking Situations (IDTS) assesses the types of situations in which individuals most often use drugs through eight subscales: dealing with (1) Unpleasant Emotions; (2) Physical Discomfort; (3) Pleasant Emotions; (4) Testing Personal Control; (5) Urges/Temptations; (6) Conflict with Others; (7) Social Pressure; and (8) Pleasant Times with Others. The aims of this study were to determine if IDTS scores varied by gender in individuals with CUD, and to ascertain if behavioral factors such as cannabis use or stress were differentially associated with IDTS scores by gender.MethodsBaseline data were obtained from a study of 148 nontreatment‐seeking individuals with CUD. Data included demographic characteristics, IDTS scores, self‐reported past 90‐day substance use, and measures of past‐month and childhood stress.ResultsWomen reported using cannabis more than men in negative affective contexts, namely when experiencing conflict with others, testing personal control, physical discomfort, and unpleasant emotions. IDTS subscale scores associated with negative affect and pleasant emotions were positively associated with past 90‐day cannabis use sessions across genders, use when experiencing negative affect was associated with childhood stress across genders, and use when experiencing unpleasant emotions was differentially associated with recent stress by gender.Conclusion and Scientific SignificanceFindings suggest gender differences in circumstances associated with cannabis use with implications for therapeutic development for CUD.
“It was never about money!”: Articulating a Commoning Anticapitalist Strategy in German Common Economies
Authors: Amaduzzi Lee , Ruiz Cayuela Sergio 
Published: February 2025

AbstractIn this paper, we delve into a contentious issue within commoning literature: the role of money in anticapitalist strategy and praxis. Focusing on German Gemeinsame Ökonomie (“Common Economies”), income sharing groups in the radical left, we examine the boundaries of money as a transformative tool and the social relations cultivated through commoning money. By militantly engaging with individuals who pool their finances into shared bank accounts, the paper explores the operational dynamics and underlying rationale of Common Economies along three analytical and political categories that form our proposed commoning anticapitalist strategy. First, individual commoners and processes of subjectivation that can potentially reconfigure common senses. Second, communities and the very contentious process of boundary‐making as a balance between subsistence and political potential. And third, the accumulation of collective capacities and their deployment to articulate a commons autonomy aiming to overcome the capitalist organisation of life. Situating money commoning within the framework of reproductive commoning, we argue that Common Economies do not see money sharing as an end in‐itself, but as a means that allows them to liberate collective work and direct it towards radical anticapitalist action. Finally, we analyse the shortcomings of Common Economies as a commoning anticapitalist strategy: a lack of internal diversity of the groups, the challenge of upscaling, and the inherent contradictions of using money in trying to overcome capitalism. This investigation contributes to a nuanced understanding of money as a capitalist tool that can be hacked to rebuild reproductive commons in the Global North.
Hunting and Habitat Destruction Drive Widespread Functional Declines of Top Predators in a Global Deforestation Hotspot
Authors: Romero‐Muñoz Alfredo , Bleyhl Benjamin , Benítez‐López Ana , Camino Micaela , Decarre Julieta , Nanni A. Sofía , Noss Andrew , Giordano Anthony J. , Quiroga Verónica A. , Torres Ricardo , Thompson Jeffrey J. , Villalba Laura , Nuñez Regueiro Mauricio M. , De Angelo Carlos , Kuemmerle Tobias 
Published: February 2025

ABSTRACTAimWe investigated the effects of habitat destruction and hunting on the functional decline of top predators, specifically jaguar and puma, in the Gran Chaco.LocationThe 1.1 million km2 South American Gran Chaco.MethodsWe used spatially explicit, individual‐based models for jaguars and pumas, incorporating detailed information on habitat suitability and hunting pressure. We parameterized our models with literature data and calibrated them through a Delphi expert‐elicitation process. We simulated population trajectories under a hypothetical, threat‐free, baseline versus different threat scenarios.ResultsUnder combined threats of hunting and habitat loss, jaguar and puma populations declined by 88% and 80%, respectively, compared to range contractions of 48% and 35%, respectively. Both species remained regionally viable, particularly due to large protected areas, which acted as population sources but were surrounded by strong sinks. We observed a widespread weakening of the top carnivore guild function, with at least one species extirpated across 67% of the Chaco and strong declines (> 80%; considered here as functional loss) for both species concurrently across 61% of their area of historical co‐occurrence. Hunting was a much stronger driver of population declines (88% and 77% for jaguars and pumas, respectively) compared to habitat destruction (26% and 22%).Main ConclusionsLarge predators play key functional roles in ecosystems. Our findings reveal that these functions can be lost over vast areas due to the combined effects of habitat destruction and hunting, with functional loss extending far beyond the areas of species' extirpation. Very large protected areas, like Kaa‐Iya in Bolivia, are crucial for maintaining viable populations of top predators, highlighting the pressing need for increased protection and connectivity in the Chaco to prevent further trophic downgrading. More generally, our research underscores the value of spatially detailed, mechanistic models for disentangling the complex dynamics of multiple threats on ecological functioning at broad scales.