bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Case of Asymmetric Seizure Termination During an Acute Course of Right Unilateral Electroconvulsive Therapy
Authors: Salzman Brandon C. , Heber Mikhail , Ferber Stephen 
Published: January 2025

Abstract
Electroencephalogram (EEG) monitoring during electroconvulsive therapy (ECT) is commonly done using a 2-channel EEG in order to capture activity from both brain hemispheres, though many institutions may instead opt to utilize a 1-channel EEG, often for reasons of convenience. We present a novel case of asymmetric termination of EEG seizure activity during an acute course of right unilateral ECT, prompting a full neurological workup to investigate potential underlying structural or physiological causative factors. This case assists in informing the necessity of bilateral hemispheric EEG monitoring as well as highlights the importance of searching for undiagnosed or latent neurological dysfunction in certain clinical situations arising during ECT.
RSYD-BASIC: a bioinformatics pipeline for Routine Sequence analYsis and Data processing of BActerial iSolates for clInical miCrobiology
Authors: Steinke Kat , Thomsen Karina Gravgaard , Hoegh Silje Vermedal , Larsen Sanne Løkkegaard , Kubel Vilhelmsen Karina , Jensen Thøger Gorm , Skov Marianne Nielsine , Sydenham Thomas Vognbjerg 
Published: January 2025

Background
Whole genome sequencing of bacterial isolates is increasingly becoming routine in clinical microbiology; however, subsequent analysis often needs to be started by a bioinformatician even for comprehensive pipelines. To increase the robustness of our workflow and free up bioinformatician work hours for development and advanced analysis, we aimed to produce a robust, customizable bioinformatic pipeline for bacterial genome assembly and routine analysis results that could be initiated by non-bioinformaticians.
Results
We introduce the RSYD-BASIC pipeline for bacterial isolate sequence analysis and provide a demonstration of its functionality with two datasets composed of publicly available sequences, in which comparable results are obtained in most cases. In some instances, the pipeline provided additional information, corresponding to in vitro results where these could be obtained. In routine use at our department, the pipeline has already yielded clinically relevant results, allowing us to type a variety of bacterial pathogens isolated in our clinical laboratory. We also demonstrate how RSYD-BASIC results aided in disproving a potential outbreak.
Conclusion
With the RSYD-BASIC pipeline, we present a configurable reads-to-results analysis pipeline operated by non-expert users that greatly eases investigation of potential outbreaks by expert end-users. Results obtained with publicly available sequences show comparable performance to the original methods, while underlining the importance of standardized methods.
EPISeg: Automated segmentation of the spinal cord on echo planar images using open-access multi-center data
Authors: Banerjee Rohan , Kaptan Merve , Tinnermann Alexandra , Khatibi Ali , Dabbagh Alice , Büchel Christian , Kündig Christian W. , Law Christine S.W. , Pfyffer Dario , Lythgoe David J. , Tsivaka Dimitra , Van De Ville Dimitri , Eippert Falk , Muhammad Fauziyya , Glover Gary H. , David Gergely , Haynes Grace , Haaker Jan , Brooks Jonathan C. W. , Finsterbusch Jürgen , Martucci Katherine T. , Hemmerling Kimberly J. , Mobarak-Abadi Mahdi , Hoggarth Mark A. , Howard Matthew A. , Bright Molly G. , Kinany Nawal , Kowalczyk Olivia S. , Freund Patrick , Barry Robert L. , Mackey Sean , Vahdat Shahabeddin , Schading Simon , McMahon Stephen B. , Parish Todd , Marchand-Pauvert Véronique , Chen Yufen , Smith Zachary A. , Weber Kenneth A. , De Leener Benjamin , Cohen-Adad Julien 
Published: January 2025

AbstractFunctional magnetic resonance imaging (fMRI) of the spinal cord is relevant for studying sensation, movement, and autonomic function. Preprocessing of spinal cord fMRI data involves segmentation of the spinal cord on gradient-echo echo planar imaging (EPI) images. Current automated segmentation methods do not work well on these data, due to the low spatial resolution, susceptibility artifacts causing distortions and signal drop-out, ghosting, and motion-related artifacts. Consequently, this segmentation task demands a considerable amount of manual effort which takes time and is prone to user bias. In this work, we (i) gathered a multi-center dataset of spinal cord gradient-echo EPI with ground-truth segmentations and shared it on OpenNeurohttps://openneuro.org/datasets/ds005143/versions/1.3.0, and (ii) developed a deep learning-based model, EPISeg, for the automatic segmentation of the spinal cord on gradient-echo EPI data. We observe a significant improvement in terms of segmentation quality compared to other available spinal cord segmentation models. Our model is resilient to different acquisition protocols as well as commonly observed artifacts in fMRI data. The training code is available athttps://github.com/sct-pipeline/fmri-segmentation/, and the model has been integrated into the Spinal Cord Toolbox as a command-line tool.
VineColD: an integrative database for global historical tracing and real-time monitoring of grapevine cold hardiness
Authors: Wang Hongrui , Londo Jason P. 
Published: January 2025

AbstractCold hardiness is a crucial physiological parameter that determines the survival of grapevines during the dormant season. Accurate modeling and large-scale prediction of grapevine cold hardiness are essential for assessing the potential geographic distribution of grapevine cultivation, quantifying the impact of climate change on grapevine habitats, and ensuring the sustainability of the grape and wine industries in cool climate regions worldwide. However, until now, no comprehensive database has been available. In this research, we combined advanced automated machine learning techniques with extensive historical and current weather data to create an integrative database for grapevine cold hardiness: VineColD (https://cornell-tree-fruit-physiology.shinyapps.io/VineColD/). We developed the NYUS.2.1 model, an automated machine learning-based system for predicting grapevine cold hardiness and in this study, applied it to global historical weather data from 17,985 curated weather stations spanning 30° to 55° in both hemispheres from 1960 to 2024, resulting in the development of an integrative grapevine cold hardiness database and monitoring system. VineColD integrates both a global historical dataset and a daily updated regional cold hardiness system, offering a comprehensive resource to study grape cold hardiness for 54 grapevine cultivars. The platform provides multiple download options, from single-station data to complete datasets, and the interactive multi-functional R Shiny application facilitates data analysis and visualization. VineColD delivers critical insights into the impact of climate change on grapevine cultivation and supports a range of analytical functions, making it a valuable tool for grape growers and researchers.
Therapeutic Exercise in Temporomandibular Disorders: A Scoping Review protocol
Authors: Aimini Gabriele , Mastromarchi Paolo , Russo Lorenzo Lo , Chiodini Marco , Bazzacchi Roberto Giova , Corbetta Noemi , Amateis Federico , Salvioli Stefano 
Published: January 2025

AbstractTemporomandibular Disorders (TMDs) are musculoskeletal dysfunctions affecting the temporomandibular joint and masticatory muscles, causing pain and functional limitations. The etiology of TMDs is multifactorial, including biological factors, parafunctional habits (such as bruxism), and psychological conditions. This study aims to map and synthesize existing evidence on therapeutic exercise for TMDs.Inclusion criteriaAll primary studies,randomized controlled trials (RCTs), prospective and retrospective observational studies, case studies will be considered.MethodsThis scoping review will be performed in accordance with the Joanna Briggs Institute (JBI) methodology. MEDLINE, Cochrane Central, Scopus, CINAHL Complete, Embase, PEDro and will be searched from inception until now. Additional records will be identified through searching in Google Scholar(the first 5 pages were examined) and Open Grey,,clinicaltrials.gov, Trialsearch.who.int and the reference lists of all relevant studies. No study design, publication type, or data restrictions will be applied. Two reviewers will independently screen all abstracts and full-text studies for inclusion. A data collection form will be developed by the research team to extract the characteristics of the studies included. A tabular and accompanying narrative summary of the information will be provided.ConclusionThis will be the first scoping review to provide a comprehensive overview and the results will add significant information for clinicians in the management of TMDs with therapeutic exercise. In addition, any gaps in knowledge on the topic will be identified. The results of this research will be published in a peer-reviewed journal and will be presented at relevant (inter)national scientific events.
Pion mass dependence in
Dπ
scattering and the
D0*(2300)
resonance from lattice QCD
Authors: Yan Haobo , Liu Chuan , Liu Liuming , Meng Yu , Xing Hanyang 
Published: January 2025

Lattice QCD results for isospin I=12 Dπ scattering are presented. Utilizing a series of Nf=2+1 Wilson-Clover ensembles with pion masses of mπ≈133, 208, 305, and 317 MeV, various two-particle operators are constructed, and the corresponding finite-volume spectra are determined. The S- and P-wave scattering phase shifts are extracted using the Lüscher approach. A clear trend for the motion of the D0*(2300) pole is identified. With the physical pion mass configurations also included, this calculation constitutes the first lattice calculation in which the pion mass dependence of the D0*(2300) pole is investigated and the scattering lengths are extrapolated/interpolated to the physical pion mass in Dπ scattering.

Published by the American Physical Society
2025
Barbara Czarniawska (1948–2024): reflections in memory of her work and life
Authors: Sabelfeld Lana , Dumay John , Jönsson Sten , Corvellec Hervé , Catasús Bino , Solli Rolf , Eriksson-Zetterquist Ulla , Raviola Elena , Quattrone Paolo , Guthrie James 
Published: January 2025

PurposeThis paper presents a reflection in memory and tribute to the work and life of Professor Barbara Czarniawska (1948–2024).Design/methodology/approachWe invited those colleagues whom we knew to be close to Barbara to submit reflections about her contributions to academia alongside their memories of her as a person. We present these reflections in the order we received them, and they have only been edited for minor grammatical and punctuation issues to preserve the voice of the contributing authors.FindingsThe reflections in this paper represent different translations of Barbara’s academic and theoretical contributions. However, she also contributed to people. While we can count the number of papers, books and book chapters she published, we must also count the number of co-authors, Ph.D. supervisions, visiting professorships and conference plenaries she touched. This (ac)counting tells the story of Barbara reaching out to work and interact with people, especially students and early career researchers. She touched their lives, and the publications are an artefact of a human being, not an academic stuck in an ivory tower.Originality/valueA paper in Barbara Czarniawska’s honour where some of her closest colleagues can leave translations of her work through a narrative reflection, seems to be a fitting tribute.
Market reaction to dividend announcements during COVID-19 pandemic in ASEAN countries
Authors: Yudaruddin Rizky , Lesmana Dadang 
Published: January 2025

PurposeThis study aims to investigate the market reaction to dividend announcements in five ASEAN countries during the COVID-19 pandemic. We focus on sectors that are less vulnerable during the COVID-19 pandemic, such as communication services, consumer staples, healthcare and information technology.Design/methodology/approachA sample of 5,648 dividend announcements from listed companies is utilized for this study, employing the event study method. The market reaction is measured using cumulative abnormal return (CAR), and cross-section regression is employed to examine the determinants of market reaction.FindingsThe findings reveal a significant positive reaction in the communication services, consumer staples, healthcare and information technology sectors following the announcement of an increase or decrease in dividends. These results imply that dividend increase announcements serve as a positive signal for investors amidst the COVID-19 pandemic. However, the market does not respond significantly to announcements of decreased and constant dividends during the pandemic as they are perceived as unfavorable signals. This paper also highlights the role of dividends as a communication tool through which companies express optimism in facing the challenges posed by the COVID-19 pandemic to their investors.Practical implicationsThis study highlights the role of dividends as a communication tool through which companies express optimism in facing the challenges posed by the COVID-19 pandemic to their investors.Originality/valueThis study offers a novel cross-country analysis of the market reaction to dividend announcements in the ASEAN region, considering both the pandemic and post-pandemic periods and focusing on sectors less impacted by COVID-19. Unlike previous studies that are limited to single-country or sector-specific analyses, our research uniquely addresses the broader ASEAN context and includes insights into the “new normal” period.
Digitalization and green supply chain activities in manufacturing: a case study of Huawei
Authors: Li Yan 
Published: January 2025

PurposeThis paper explores the relationship between digitalization and green supply chain (GSC) activities in the manufacturing industry, using Huawei as a case study.Design/methodology/approachA qualitative case study approach was employed, involving in-depth interviews, document analysis and direct observations. Data were analyzed using thematic coding aligned with the resource-based view (RBV) framework.FindingsThe study identifies three key digitalization capabilities – governance, value creation and connection – that enable sustainable practices through mechanisms such as perceptive, decision-making, and responsive processes. These capabilities facilitate GSC activities by enhancing operational efficiency, resource optimization and stakeholder collaboration.Originality/valueThis research contributes to the understanding of how digitalization enables sustainable practices in manufacturing. It offers a conceptual framework and empirical evidence that bridge theory and practice, with implications for organizations, policymakers and society.
Advanced construction site layout planning for prefabricated projects: an application of the new algorithm
Authors: Pham Vu Hong Son , Pham Duy Hieu 
Published: January 2025

PurposeThis study aims to optimize the construction site layout planning (CSLP) problem, with a focus on prefabricated projects. It proposes the use of the oMOAHA algorithm, an enhanced version of the multi-objective artificial hummingbird algorithm (MOAHA), to address challenges related to search space exploration and local optimization in CSLP.Design/methodology/approachThe study integrates three techniques – opposition-based learning (OBL), quasi-opposition and quasi-reflection – into the initialization phase of the MOAHA algorithm, creating the oMOAHA variant. This model is applied to all three types of CSLP problems – pre-determined location, grid system and continuous space – to evaluate its effectiveness. Six objective functions (three related to cost, two to safety and one to tower crane efficiency) and four site-related constraints are considered through three case studies taken from previous research and one real project involving prefabricated steel structures.FindingsThe oMOAHA algorithm demonstrates superior performance compared to previous models, consistently outperforming traditional approaches in CSLP optimization for prefabricated projects. In the real case study, the proposed model exceeded the actual project plan by 28–43%, indicating its potential to significantly improve both solution quality and project outcomes.Originality/valueThis study is the first to apply an optimization model to all three types of CSLP problems – pre-determined location, grid system and continuous space – within a unified framework. The integration of advanced techniques into the MOAHA algorithm and the model’s successful application in a real prefabricated project underscore its high applicability and effectiveness in modern construction management.
Numerical investigation on hydrothermal characteristics of microchannel heat sinks with PCM inserts for effective thermal management applications
Authors: Korasikha Naga Ramesh , T Karthikeya Sharma , G Amba Prasad Rao 
Published: January 2025

Purpose
The purpose of the paper is to develop an efficient thermal management system, which effectively dissipate the heat generated from the electronic devices. The present paper focuses at the modeling of microchannel heat sinks (MCHSs) with phase change materials (PCMs) insets to deal with the fluctuating heat generated from the electronic components.

Design/methodology/approach
In this paper, a novel approach is introduced to enhance the thermal performance of MCHSs through the integration of conjugate heat transfer and energy storage. Numerical investigations were conducted on six novel models of PCM-based hybrid MCHSs using ANSYS-FLUENT. The hydrothermal characteristics of six PCM-based hybrid MCHS models were analyzed and compared with an MCHS model without PCM.

Findings
The numerical model used for this study exhibited a good agreement with existing experimental and simulation results documented in the literature. The hybrid MCHS models developed in the present analysis showed superior thermal characteristics compared to MCHS without PCM. About 12% improvement in the thermal performance factor and a 7.3% reduction in thermal resistance were observed in the proposed MCHS models. A negligible influence of the PCM channel shape and aspect ratio (AR) was observed on the MCHS performance.

Research limitations/implications
As the present work is a numerical investigation, the computational time and computational cost requirements are the main implication for the research.

Practical implications
High pumping power requirement and expensive manufacturing methods of the microfluidic devices are the main practical implications. Leakage problem is also a challenge for development of these heat sinks.

Originality/value
The surge in the heat generated by electronic components is a limiting factor for the conventional MCHSs. To accommodate the surge, researchers have explored energy storage methods using PCM-based passive MCHS but these are effective only during the phase change process. To address this limitation, novel PCM-based hybrid MCHSs, which combine convective heat transfer with energy storage capabilities, have been modeled in the present work. There is an ample opportunity for further exploration of hybrid MCHSs with PCM.
Enhancement of thermo-hydraulic transport within a round tube using a twisted-staggered concave/convex dimples tape
Authors: Perng Shiang-Wuu , Wu Horng Wen , Guo Yi-Ling , Liu Tao-Hsuan 
Published: January 2025

Purpose
The purpose of this study is to value the thermal and hydraulic transport augmentation of turbulent fluid flow within the round-pipe axis fixed by a twisted-staggered concave/convex dimples tape.

Design/methodology/approach
This study meets the report’s novel design by axis-inserting a twisted plastic tape with staggered concave/convex dimples of varying diameters (4 and 6 mm) and depths (1, 1.4 and 1.8 mm). Introducing a realizable model integrated with an improved wall function and SIMPLE solving procedure evaluates the thermo-hydraulic transport as Reynolds number is feasible as 5,000, 10,000, 15,000 and 20,000. In addition, using the findings from the present experimental work validates the numerical methodology.

Findings
This paper reveals that the staggered concave/convex dimples on the axis-fixed plastic tape can significantly improve thermo-hydraulic transport within this outer-heated tube. Furthermore, the processed dimples can cause flow disturbance, which increases turbulent kinetic energy and accelerates fluid mixing around a twisted plastic tape, resulting in enhanced thermal convection. The six kinds of twisted tapes (C1−C6) result in the thermo-hydraulic performance index (η) of 1.18–1.32 at Re = 5000. Among all the cases, the dimples using 4 mm combined with 6 mm diameter and 1.4 mm height (C4) earn the highest, around 1.40 at Re = 5,000.

Research limitations/implications
The conditions of constant hydraulic-thermal characteristics of working fluid (air), steady Newtonian fluid considered, and the ignored radiative heat transfer and gravity are the research limitations of the numerical simulation.

Practical implications
The given results can benefit from a round tube design of a thermal apparatus axis fixed by a twisted-staggered concave/convex dimples tape to augment the thermo-hydraulic transport.

Originality/value
Staggered concave/convex dimples on the surface of a twisted tape allow for impinging and swirling flow along the tape. These processed dimples can induce flow disturbance, which increases the turbulent kinetic energy and facilitates fluid mixing in a twisted tape. Furthermore, the hybrid-diameter dimples have enough flow channels for fluid separation-reattachment, and the thermo-hydraulic performance index has improved. This paper then presents a helpful passive approach for cooling a thermal device.
How much AI is too much in assisting evaluation? Chinese applicant reactions to conjoint decisions by experts and algorithm
Authors: Pan Shuyi 
Published: January 2025

PurposeAs the use of AI techniques becomes more prevalent in evaluation activities, researchers have suggested integrating AI and human evaluators to address potential AI aversions from applicants. This study was conducted in response to this call, utilizing a Chinese sample.Design/methodology/approachThis study examined applicants’ responses to decisions made by a human–AI hybrid jury with varying levels of AI agency. Using a three (AI agency: low, medium and high) × 2 (outcome favorability: favorable and unfavorable) between-subjects design, we analyzed the moderated mediation relationship between machine heuristics and organizational assessment, with fairness perceptions serving as a mediator and AI agency level and outcome favorability as moderating variables.FindingsThe results revealed that positive machine heuristics enhanced fairness perception only at high AI agency levels, irrespective of outcome favorability. Negative machine heuristics impaired fairness perception at medium or high AI agency levels only in cases where participants failed the test. Machine heuristics did not directly influence participants’ assessment of the organization but could indirectly influence organization assessments through fairness perception, contingent on the composition of AI agency level and outcome favorability.Originality/valueBy having participants go through a real intelligence exam and explore their experiences, this study had theoretical and practical implications for AI evaluation.