bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of EEG preprocessing parameters on ultra-low-power seizure detection
Authors: Reisinger Patrick , Larochelle Jonathan , Abkai Ciamak , Kalousios Sotirios , Zabler Nico , Dümpelmann Matthias , Schulze-Bonhage Andreas , Woias Peter , Comella Laura 
Published: January 2025

AbstractObjectiveClosed-loop neurostimulation is a promising treatment for drug-resistant focal epilepsy. A major challenge is fast and reliable seizure detection via electroencephalography (EEG). While many approaches have been published, they often lack statistical power and practical utility. The use of various EEG preprocessing parameters and performance metrics hampers comparability. Additionally, the critical issue of energy consumption for an application in medical devices is rarely considered. Addressing these points, we present a systematic analysis on the impact of EEG preprocessing parameters on seizure detection performance and energy consumption, using one to four EEG channels.MethodsWe analyzed in 145 focal epilepsy patients the impact of different sampling rates, window sizes, digital resolutions and number of EEG channels on seizure detection performance and energy consumption. Focusing on practice-relevant metrics, we evaluated seizure detection performance of a state-of-the-art convolutional neural network (CNN) via the Seizure Community Open-Source Research Evaluation (SzCORE) framework. Statistical relevance of parameter changes was assessed using linear mixed-effects models. Energy consumption was analyzed using an ultra-low-power microcontroller.ResultsReducing the sampling rate from 256 to 64 Hz led to a decrease in sensitivity and false detections per hour (FD/h; allpvalues < .001). Longer window sizes reduced the number of FD/h and increased average detection delays between one second and all other sizes (allpvalues < .001). Lower digital resolutions decreased sensitivity between 16 and 8 bits (p< .001). Using only one EEG channel led to a decrease in sensitivity (p< .001) and FD/h (p= .008) compared to four channels. Energy consumption was especially decreased when reducing the sampling rate and number of EEG channels.SignificanceThis study provides guidance on choosing EEG preprocessing parameters for innovative developments of closed-loop neurostimulation devices to further advance the treatment of drug-resistant focal epilepsy.Key pointsA major challenge in closed-loop neurostimulation is fast and reliable seizure detection, ideally with minimal energy consumption.Many published seizure detection approaches are not ready for application and lack statistical power and comparability.The impact of EEG preprocessing parameters was systematically evaluated in 145 focal epilepsy patients.The chosen window size and number of channels had the strongest impact on seizure detection performance and energy consumption.Our results offer guidance for EEG preprocessing choices to advance the treatment of drug-resistant focal epilepsy.
OpenEMMU: a versatile, open-source EdU multiplexing methodology for studying DNA replication and cell cycle dynamics
Authors: Contreras Osvaldo , Thekkedam Chris , Zaunders John , Aguirre-MacLennan Ismael , Murray Nicholas J. , Gonzalez-Cordero Anai , Harvey Richard P. 
Published: January 2025

ABSTRACT5-Ethynyl-2’-deoxyuridine (EdU) has transformed DNA replication and cell cycle analyses through fast and efficient click chemistry detection. However, commercial EdU kits are expensive, contain proprietary reagents, are suboptimal for antibody multiplexing, and are challenging to use with larger biological specimens, highlighting the need for innovation. Here, we report Open-source EdU Multiplexing Methodology for Understanding DNA replication dynamics (OpenEMMU), an optimized, affordable, and user-friendly click chemistry resource using off-the-shelf reagents. OpenEMMU improves the efficiency, brightness, and multiplexing capabilities of EdU thymidine analog staining with both non-conjugated and conjugated antibodies across various cell types. We validated its effectiveness for fluorescent imaging of nascent DNA in developing embryos and organs, including the embryonic heart and forelimbs, and in 3D hiPSC-derived cardiac organoids. OpenEMMU also enabled 3D imaging of DNA synthesis in zebrafish larvae at fine resolution. This opens new avenues for insights into organismal development and growth, cell proliferation, and DNA replication, with precision and flexibility that surpass traditional methods.TeaserAn open-source and cost-effective resource for DNA replication profiling and cell cycle analysis using click chemistry.
Beyond entrepreneurship education: the long-term impact of higher education teaching models on new venture creation
Authors: Arendt Kasper M. , Christensen Bo T. , Jensen Vibeke M. , Rangvid Beatrice S. , Bille Trine 
Published: January 2025

PurposeTeaching models in higher education entrepreneurship programs affect students’ entrepreneurial intentions. Yet evidence related to their effects on long-term venture creation remains limited. Past research on the effects of teaching models on entrepreneurship has focused narrowly on entrepreneurship education programs. The present study moves beyond this past narrow focus to study teaching model effects on new venture creation across a broad array of higher education programs.Design/methodology/approachWe assess the effects of teaching models on new venture creation across 35 educational programs (entrepreneurship and other business programs) at a large Danish business school, tracing venture creation data for 5 years after graduation (N = 4,717).FindingsCompetence-based teaching models positively impact graduates’ long-term new venture creation across all programs, with no differences between entrepreneurship vs other types of programs.Research limitations/implicationsThese findings carry implications for both education and entrepreneurship research, as well as policymakers and educators, by pointing toward ways of impacting postgraduate business venturing through teaching model reforms extending beyond entrepreneurship education.Originality/valueFor the first time, we find effects of competence teaching models on postgraduation new venture creation across a broad array of business administration programs. The results are novel in documenting that teaching models generally impact venture creation in the long term, and that this occurs regardless of whether the program content centers on entrepreneurship or on other business administration content.
Unveiling patterns and drivers of agricultural diversification: empirical findings from farm households in Kaithal district of Haryana in India
Authors: Sharma Simran , Shastri Swati 
Published: January 2025

PurposeThis study aims to examine the patterns of and factors influencing agricultural diversification among farmers in the Kaithal district of Haryana, India.Design/methodology/approachThe authors analysed the data collected from a sample of 400 agricultural households from five blocks of Kaithal, Haryana. Agricultural diversification is measured through the Herfindahl Index. Determinants of agricultural diversification have been evaluated using the two-stage least square method.FindingsThe average value of the diversification index among farmers in Kaithal is 0.51, indicating that there is room for diversification. In the study area wheat and rice are the dominant crops, while vegetables emerge as the most common non-staple crop. Regression analysis indicates that farmers of Scheduled Caste (SC) are more inclined to diversify crops. Factors such as larger land ownership, utilization of tractors, government subsidies, education and loans positively impact agricultural diversification. The availability of irrigation facilities, and employing labour negatively influence it.Social implicationsFocus on SC within the diversification policies for equitable access to resources. Special programmes aimed at educating small landowners and casual labourers about diversified crops. Implementing an “Uberisation” model for tractors, providing subsidies on seeds and equipment, customized financing programmes tailored to the needs of small-scale farmers can contribute to boosting agricultural diversification.Originality/valueThis study contributes by providing insights into the farm-level determinants of agricultural diversification in Kaithal district, Haryana. It adds to the understanding of factors influencing agricultural diversification in developing economies at the micro level.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-12-2023-0963.
A bibliometric analysis of resource orchestration research: current status, emerging trends and future research agenda
Authors: Soleymanzadeh Omid , Hajipour Bahman 
Published: January 2025

Purpose
This paper aims to study the bibliometric analysis of resource orchestration research in management and businessareas.

Design/methodology/approach
The research method is based on a three-step protocol of dataset setting, dataset refining and analyzing the data. First, the 202 published articles in the resource orchestration field were collected from the Web of Science database. Second, the document information was refined. Finally, we used the bibliometric analysis toolbox to investigate the documents. Also, bibliometric analysis in this research has been conducted using VOSviewer and SPSS software.

Findings
The findings of this research examined the evolution of the resource orchestration theory. Also, this paper has identified five major themes in this field: resource orchestration for entrepreneurship and innovation, orchestrating supply chain, orchestrating information technology resources, orchestrating intangible resources and the role of resource orchestration in small firm performance. Finally, emerging trends in the resource orchestration area include sustainable development, innovation and information technology.

Originality/value
This paper is the first to use bibliometric analysis to examine resource orchestration theory. Accordingly, this research contributes to the resource orchestration area through the theoretical evolution, underlying streams of research and emerging themes in research topics and methodologies.
Molecular Mechanism of Ginsenoside Rg3 Alleviation in Osteoporosis via Modulation of KPNA2 and the NF‐κB Signalling Pathway
Authors: Zhang Xiaonan , Huang Fenglan , Liu Jinzhu , Zhou Zhenzhong , Yuan Shanyou , Jiang Haoli 
Published: January 2025

ABSTRACTOsteoporosis is mainly caused by an imbalance in osteoclast and osteoblast regulation, resulting in an imbalance in bone homeostasis. Ginsenoside Rg3 (Rg3) has been reported to have a therapeutic effect on alleviating osteoporosis. Nonetheless, the underlying mechanisms have not been completely elucidated. Herein, the molecular mechanism of Rg3 alleviation in osteoporosis was further explored. An in vitro model was established utilising the receptor activator of nuclear factor‐kappaB ligand (RANKL) to induce osteoclast differentiation of RAW264.7 cells. RNA‐sequencing results showed that karyopherin subunit alpha 2 (KPNA2) is one of the significantly differentially expressed genes regulated by Rg3 in RANKL‐induced RAW264.7 cells. Basic experiments further suggested that KPNA2 is up‐regulated in a time‐dependent manner in the RANKL‐induced RAW264.7 cells, while Rg3 treatment reduced its expression in a dose‐ and time‐dependent manner. Knockdown of KPNA2 inhibited osteoclast formation and the expression of related molecules, including those in the nuclear factor kappa‐B (NF‐κB) pathway. The NF‐κB inhibitor, JSH‐23, partially abolished the impact of KPNA2 overexpression on osteoclast formation, indicating KPNA2 activates NF‐κB. Furthermore, KPNA2 overexpression partially abolished the inhibitory impact of Rg3 on osteoclast formation, indicating that KPNA2 is a target of Rg3. These results suggest that KPNA2 plays a role in how Rg3 influences on osteoclast differentiation and osteoporosis through the NF‐κB pathway.
Closing the air gap: the use of drones for studying wildlife ecophysiology
Authors: Yaney‐Keller Adam , McIntosh Rebecca R. , Clarke Rohan H. , Reina Richard D. 
Published: January 2025

ABSTRACTTechniques for non‐invasive sampling of ecophysiological data in wild animals have been developed in response to challenges associated with studying captive animals or using invasive methods. Of these, drones, also known as Unoccupied Aerial Vehicles (UAVs), and their associated sensors, have emerged as a promising tool in the ecophysiology toolkit. In this review, we synthesise research in a scoping review on the use of drones for studying wildlife ecophysiology using the PRISMA‐SCr checklist and identify where efforts have been focused and where knowledge gaps remain. We use these results to explore current best practices and challenges and provide recommendations for future use.In 136 studies published since 2010, drones aided studies on wild animal body condition and morphometrics, kinematics and biomechanics, bioenergetics, and wildlife health (e.g. microbiomes, endocrinology, and disease) in both aquatic and terrestrial environments. Focal taxa are biased towards marine mammals, particularly cetaceans. While conducted globally, research is primarily led by institutions based in North America, Oceania, and Europe. The use of drones to obtain body condition and morphometric data through standard colour sensors and single camera photogrammetry predominates. Techniques such as video tracking and thermal imaging have also allowed insights into other aspects of wildlife ecophysiology, particularly when combined with external sampling techniques such as biologgers. While most studies have used commercially available multirotor platforms and standard colour sensors, the modification of drones to collect samples, and integration with external sampling techniques, have allowed multidisciplinary studies to integrate a suite of remote sensing methods more fully.We outline how technological advances for drones will play a key role in the delivery of both novel and improved wildlife ecophysiological data. We recommend that researchers prepare for the influx of drone‐assisted advancements in wildlife ecophysiology through multidisciplinary and cross‐institutional collaborations. We describe best practices to diversify across species and environments and use current data sources and technologies for more comprehensive results.
Bioceramics for Guided Bone Regeneration: A Multicenter Randomized Controlled Trial
Authors: Wang Yulan , Fu Gang , Zhang Jian , Xu Yan , Shen Ming , Yi Zhe , Lan Jing , Li Qiang , Zhao Yangsheng , Wu Runfa , Zhang Yufeng 
Published: January 2025

ABSTRACTObjectivesTo compare the clinical effectiveness of a novel bioceramic (BC) with a control xenograft (BO) for guided bone regeneration (GBR) performed simultaneously with implant placement.Materials and MethodsThis clinical study enrolled patients with insufficient bone volume who required GBR during implant placement to increase bone width using either BC or BO. Outcome measures included a dimensional reduction in buccal bone thickness measured by cone beam computed tomography performed immediately post‐surgery and at 6 months postoperatively (ΔHBBT), soft tissue healing at 14 days, 1 month, and 6 months postoperatively, and complications rates.The primary outcome was the change in buccal bone thickness around the implant.ResultsOf the total 152 patients included, 76 from each group received BC and BO treatments. The ΔHBBT in BC and BO groups were −0.276 mm (−0.432, −0.121) and −0.614 mm (−0.769, −0.459) mm, respectively, rejecting the null hypothesis. No significant difference in soft tissue healing was observed between the two groups, with no inflammatory changes in 96.05% and 90.79% of the BC and BO groups, respectively, at 2 weeks postoperatively. However, the BC group exhibited a lower overall complication rate (3.95%), including mild inflammation, poor soft tissue healing, and bone graft extrusion in 3 out of 76 patients.ConclusionsBoth BC and BO demonstrated favorable outcomes in bone regeneration and soft tissue healing when used for simultaneous implant placement and bone augmentation.
Peri‐Implant Epstein–Barr Virus (+) Mucocutaneous Ulcer in an Immunocompetent Patient: Case Report and Review of the Literature
Authors: Lafuente‐Ibáñez de Mendoza Irene , Aguirre‐Echevarria Pablo , Silva‐Soria Tulio Mateo , Aisa Francisco Javier Vallejo , de Larrinoa Aitor Fernández , Aguirre‐Urizar José Manuel 
Published: January 2025

ABSTRACTEpstein–Barr virus (+) mucocutaneous ulcer (EBVMCU) is an uncommon benign lymphoproliferative lesion that develops in immunocompromised patients. We present a special case of EBVMCU located in the peri‐implant mucosa and we review the oral cases published to date. An 88‐year‐old man with no medical history of interest was attended in the dental clinic due to an ulcerated tumor located in the peri‐implant mucosa. The lesion showed an atypical lymphoid proliferation, positive for CD3, CD20, CD30, PAX‐5, and MUM1. Positive EBV and favorable patient evolution confirmed the final diagnosis of EBVMCU. Oral EBVMCU reports related to immunosenescence mainly develop in the gingiva of advanced age patients. Our case highlights the importance to perform a complete clinicopathological study of all peri‐implant lesions. Although most peri‐implant pathologies are inflammatory‐reactive disorders, sometimes they can also correspond to other entities.
Landscape influence on pollinator population genetic connectivity
Authors: Schleimer Anna , Frantz Alain C. 
Published: January 2025

Abstract
Insect pollinators face numerous threats, including habitat loss and population fragmentation. The effects of human‐altered landscapes on population connectivity need to be better understood to inform effective mitigation measures. We examined the literature on the effects of landscape heterogeneity on population genetic connectivity in two key pollinator groups: bees (Hymenoptera: Anthophila) and hoverflies (Diptera: Syrphidae).
We identified 113 studies from 59 countries, covering 96 bee and 21 hoverfly species. However, biased taxonomic and geographical coverage limited broad conclusions regarding species susceptibility to genetic isolation. Notably, hoverflies remain significantly understudied, hampering comprehensive assessments of genetic connectivity patterns.
While some species demonstrated genetic differentiation across tens of kilometres, others maintained connectivity across entire continents. Various landscape features, including water bodies and mountain ranges, often acted as barriers to gene flow, while the impacts of deforestation, agriculture, and urbanisation on genetic connectivity were mixed.
Biological traits like body size, resource specialisation, and effective population sizes were found to influence susceptibility to population isolation. However, contrasting results and limited species coverage precluded conclusive findings.
Future research should include evaluations of genetic time lags and statistical power to determine the appropriateness of selected genetic tools for testing hypotheses of recent genetic effects of human‐altered landscapes on pollinators.
Owing to increased interest in pollinator habitat corridors, population genetic research encompassing a wider range of species, habitats, and improved study designs, is needed to provide an evidence‐based framework for conservation measures.
Association of Cardiovascular Disease Risk Factors With Estimated Dietary Salt Consumption in Bangladeshi Adults: A Nationally Representative Cross‐Sectional Study
Authors: Barua Lingkan , Akhter Tahmina , Bhuiyan Rijwan , Sathi Halima Akter , Banik Palash Chandra , Faruque Mithila , Rahman Muhammad Aziz , Islam Sheikh Mohammed Shariful 
Published: January 2025

ABSTRACTThis population‐based, nationally representative cross‐sectional study assessed the daily salt consumption status and its associated cardiovascular disease (CVD) risk factors using weighted data from the STEPwise approach to noncommunicable disease risk factor surveillance conducted in 2018 in Bangladesh. It included a non‐institutionalized adults’ population of 6189 men and women aged 18–69 years. Their daily salt consumption was estimated using the spot urine sodium concentration following the Tanaka equation and reported according to the standard nomenclature proposed by the World Hypertension League and partner organizations involved in dietary salt reduction. Out of a total of 6189 participants, 2.4% consumed the recommended amount of salt (<5 g/day), 67.8% consumed a high amount of salt (≥5–10 g/day), 27.2% consumed a very high amount of salt (>10–15 g/day), and 2.6% consumed an extremely high amount of salt (>15 g/day). In univariate analysis, a higher than recommended level of salt intake (≥5 g/day) was significantly prevalent among rural residents (high = 78.4%, very‐high = 81.6%, extremely‐high = 84.9%, p = 0.01), literates (high = 51.6%, very‐high = 57.9%, extremely‐high = 59.1%, p = 0.02), newly diagnosed hypertension (high = 20.6%, very‐high = 23.6%, extremely‐high = 24.1%, p = 0.008), and overweight/obese (high = 25.9%, very‐high = 33.3%, extremely‐high = 29.8%, p = 0.000). Similarly, in ordinal logistic regression analysis, the categories of daily salt consumption showed a significant association with rural residence (OR: 1.300, CI: 1.109–1.524, p = 0.001), literates (OR: 0.777, CI: 0.671–0.900, p = 0.001), newly diagnosed hypertension (OR: 1.204, CI: 1.022–1.419, p = 0.026), and overweight/obesity (OR: 1.353, CI: 1.145–1.598, p = 0.000). The current national pattern of salt consumption in Bangladesh may help reconstruct the salt reduction strategy considering the associated risk factors.
Dyslipidemia Impacts Cardiometabolic Health and CVD Risk in a Relatively Young Otherwise Healthy Population
Authors: Lang Jillian M. , Shostak Elena S. , Quinn William K. , Chervinskaya Valerie D. , Fioraso Elisa , Smith Everett , Kotarsky Christopher J. , DeBlauw Justin A. , Lloyd Jennifer L. , Ives Stephen J. 
Published: January 2025

ABSTRACTDyslipidemia, abnormal levels of lipids in the bloodstream, is associated with cardiovascular disease risk (CVD). The purpose of this study was to evaluate the effects of dyslipidemia on cardiometabolic health in relatively young, healthy adults. Participants were 54 healthy males and females aged 18–60 years. Participants were assessed for anthropometrics, body composition, blood pressure and vascular stiffness indicators, microvascular health, and glucose and lipid levels. Using a cross‐sectional approach, participants were characterized and grouped as having dyslipidemia or not, and then statistically assessed to determine whether differences in other cardiometabolic health measures existed between the groups. There were significant differences between groups for body weight and composition (total mass, muscle mass, visceral fat, bone mass, and body mass index, all, p < 0.027, Cohen's d > 0.605) with the dyslipidemia group being higher. There were significant differences between groups for peripheral and central blood pressures (all, p < 0.003, Cohen's d > 0.899), as well as for vascular stiffness indicators (pulse pressure, augmentation pressure, augmentation index, augmentation index 75) (all, p < 0.022, Cohen's d > 0.672) with elevations noted in the dyslipidemia group. Ten‐year CVD risk was significantly different between groups, with an average risk of 0.8% in the normal lipids group and a risk of 5.4% in the dyslipidemia group (p < 0.001, Cohen's d = 1.260). However, there were no significant differences in macro‐ or micronutrient intake between groups (all, p > 0.166, Cohen's d < 0.412). There is a significant impact on cardiometabolic health in individuals with dyslipidemia who are otherwise healthy, which may increase individual risk for CVD.Trial Registration: ClinicalTrials.gov identifier: NCT06544915.