Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at... by Charlotte Havreng-Théry, Arnaud Fouchard, Fabrice Denis, Jacques-Henri Veyron, Joël Belmin

“…After each home visit, the home care aides completed a questionnaire on participants’ functional status using a smartphone app, and the information was processed in real time by a previously developed machine learning algorithm that identifies patients at risk of an emergency visit within 7 to 14 days. …”
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HyQ2: A Hybrid Quantum Neural Network for NextG Vulnerability Detection by Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

“…We address the limitations of classical machine learning models in processing the intrinsic linkage relationships of high-dimensional data. …”
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An organic matter database (OMD): consolidating global residue data from agriculture, fisheries, forestry and related industries by G. Weldesemayat Sileshi, G. Weldesemayat Sileshi, E. Barrios, J. Lehmann, J. Lehmann, F. N. Tubiello

“…<p>Agricultural, fishery, forestry and agro-processing activities produce large quantities of residues, by-products and waste materials every year. …”
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Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images by Shukuan Liu, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Feiyu Teng, Xiangnan Liu

“…However, extracting fragmented cropland presents significant challenges due to its irregular and blurred boundaries, as well as the diversity in crop types and distribution. …”
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Research on the possibility of extending the shelf life of cheese raw material and heat-treated cheese by their freezing for further use in HoReCa by G. M. Sviridenko, V. V. Kalabushkin, A. N. Shishkina, E. E. Uskova

“…The article presents the results of a study of the regularities of changes in the functional properties and quality indicators of heat-treated cheeses made from frozen cheese raw material or frozen after thermomechanical processing for further use in HoReCa. …”
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Approximate String Matching with Non-Overlapping Adjacent Unbalanced Translocations by Domenico Cantone, Simone Faro, Arianna Pavone

“…However, despite their central role in many fields of text processing, little attention has been devoted to the problem of matching strings allowing for this kind of edit operation. …”
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Advancing conventional guidelines in phytotoxicity studies assessing toxicant’s impact on seedling morphology and anatomy by Bárbara S. Diogo, Sara Rodrigues, Sara C. Antunes

“…Abstract Studies on plant ecotoxicology focus essentially on growth and biochemical processes, often overlooking anatomical and morphological alterations that may occur post-germination. …”
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Data Confidentiality in Artificial Intelligence-Assisted Medicine: The Main Ethical Issue by Raluca DUMACHE, Camelia MURESAN, Marina Adriana MERCIONI, Alin IONESCU, Nina IVANOVIC, Alexandra ENACHE

“… Background and Aim: The use of Artificial Intelligence (AI) in healthcare presents previously unheard-of chances for efficiency and innovation as these technologies develop quickly. …”
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Dynamics of Sandy Shorelines and Their Response to Wave Climate Change in the East of Hainan Island, China by Wei Xu, Shenliang Chen, Hongyu Ji, Taihuan Hu, Xiaojing Zhong, Peng Li

“…In conclusion, the interplay of escalating anthropogenic activities, natural processes, and climate change contributes to the long-term evolution of sandy shorelines. …”
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Subgingival microbiota and genetic factors (A-2570G, A896G, and C1196T TLR4 polymorphisms) as periodontal disease determinants by Raúl Castro-Casarrubias, Natividad Castro-Alarcón, Salvador Reyes-Fernández, Elena Salazar-Hernández, Mirna Vázquez-Villamar, Norma Samanta Romero-Castro

“…The A/G genotype of SNP-2570 was correlated with greater clinical attachment loss and periodontal pocket depth.ConclusionsThe agonistic or antagonistic biological effect of each bacterial species depends on the genotype present in each individual and the destruction processes of dental support tissues.…”
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Inflammation markers in coronary heart disease patients with aortic valve stenosis by O. I. Afansieva, N. A. Tmojan, E. A. Klesareva, O. A. Razova, M. A. Afanasieva, А. L. Burdeynaya, M. A. Saidova, M. V. Ezhov, S. N. Pokrovsky

“…Humoral immunity involvement in inflammatory processes in coronary arteries and aortic valve might present with the presence of circulating autoantibodies and shifts in the values of cellular immunity.Aim. …”
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Facilitator and Barrier to Health Information System Use from Health Professionals Perspective: A Scoping Review by Yuliasih N, Khoiry QA, Alfian SD, Suwantika AA, Abdulah R

“…The most frequently mentioned facilitator was usefulness and simplification of daily tasks, while the predominant barrier was lack of technical support.Conclusion: The systematic mapping of facilitator and barrier provided a foundation for policymakers and healthcare professionals in decision-making processes to enhance acceptance HIS.Keywords: health information system, health professionals, facilitator, barrier, electronic health record…”
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Modeling schizophrenia endophenotypes in drosophila melanogaster: effects of ketamine on anxiety, aggression, locomotion and inflammatory responses by Abdulrahman Adesola Bello, Royhaan Olamide Folarin

“…Schizophrenia presents a significant challenge in mental health, characterized by a profound distortion of reality, often accompanied by hallucinations, delusions, cognitive deficits and neuroinflammatory processes. …”
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Collection and Analysis of Repeated Speech Samples: Methodological Framework and Example Protocol by Nicholas Cummins, Lauren Louise White, Zahia Rahman, Catriona Lucas, Tian Pan, Ewan Carr, Faith Matcham, Johnny Downs, Richard Dobson, Thomas F Quatieri, Judith Dineley

“…ConclusionsThe wide variability in speech data collection, processing, analysis, and reporting in research on speech’s use in clinical trials and practice is the motivation for this paper and the development of the speech curation protocol design checklist. …”
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Identification of novel biomarkers and prognostic model for neuroblastoma using Mendelian randomization and transcriptomic analysis by Yongcheng Fu, Nan Zhang, Jian Cheng, Xiaohan Qin, Xing Zhou, Xiaoran Du, Yuanyuan Wang, Jingyue Wang, Da Zhang

“…Abstract Background Neuroblastoma (NB) is the most common extracranial malignant tumor in children, presenting significant challenges in prognosis and treatment stratification. …”
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Adaptive potential of winter rye cultivars developed at VIR in the context of their grain protein content in the environments of Leningrad province by N. I. Aniskov, I. V. Safonova, V. I. Horeva

“…In Leningrad Province, winter rye is an irreplaceable cereal crop for food and feed. At present, a reduction of the acreage under rye is observed. …”
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Quantitative EEG features for the prediction of short-term neuromotor development outcome in premature neonates by Yuanyuan Shan, Lin Zhang, Peng Zhang, Yan Xu, Jun Wang, Mingshu Yang, Guoqiang Cheng

“…Automated quantitative EEG (qEEG) analysis provides predictive value for the occurrence of brain injury and outcomes in preterm neonates, among which ABP-δ presented the best predictive performance.…”
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A novel soil moisture evaluation framework incorporating brightness temperature and a high-resolution 1 km summer brightness temperature dataset by Ziyue Zhu, Runze Zhang, Bin Fang, Hyunglok Kim, Hoang Hai Nguyen, Venkataraman Lakshmi

“…Coarser resolution SM products, although beneficial for broader area coverage, often struggle to capture fine-scale variations influenced by local hydrological processes, land use, vegetation cover, and microclimates. …”
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The hemostatic parameters in pregnant women with different types of diabetes mellitus by R. V. Kapustin, E. V. Kopteeva, O. N. Arzhanova, A. V. Tiselko, N. Е. Androsova, T. I. Oparina

“…Moreover, the severity of these processes depends on the type of DM and the severity of metabolic disorders. …”
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Image-Based Malicious Network Traffic Detection Framework: Data-Centric Approach by Doo-Seop Choi, Taeguen Kim, Boojoong Kang, Eul Gyu Im

“…The increase in network traffic makes it more difficult for the detection system to analyze and detect malicious network traffic generated by malware or intruders. Additionally, processing high-dimensional network traffic data requires substantial computational resources, limiting real-time detection capabilities in practical deployments. …”
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