Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

“…Deep learning (DL) offers a promising alternative for capturing nonlinear genetic relationships due to its ability to identify complex patterns without prior assumptions about the data structure. …”
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Population immunity to SARS-CoV-2 virus in residents of the Irkutsk Region in the dynamics of the epidemic by S. V. Balakhonov, V. I. Dubrovina, M. V. Chesnokova, D. D. Bryukhova, N. O. Kiseleva, A. B. Pyatidesyatnikova, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, T. A. Gavrilova, A. A. Seledtsov

“…In this regard, the study of the manifestations of the epidemic process of the new coronavirus infection COVID-19 and the patterns of its development are an urgent area of research. …”
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Groundwater rebound and seepage characteristics and water quality evolution in a sealed mining area in North China type coalfield by Huiyong YIN, Dehui SUN, Fangying DONG, Fanhua WANG, Lifeng ZHANG, Tao WU, Chao LIU, Yifan ZENG

“…After the goaf sealing, water-rock interactions persisted during the reinjection of the accumulated water, but the cation exchange rate slowed down. The mineral phases showed similar but weakened variation trends compared to the water inrush stage. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. …”
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A first large study of whole-exome sequencing (WES) in 489 patients with suspected rare genetic disorders at a tertiary centre in Malaysia by Lip Hen Moey, Go Hun Seo, Boon Eu Cheah, Wee Teik Keng, Hane Lee, Gaik Siew Ch’ng

“…Introduction: Rare genetic disorders occur at a rate of 40–82 per 1000 live births worldwide. Identifying the molecular cause of rare genetic disorders is beneficial because it allows early diagnosis, facilitates treatment planning and provision of accurate genetic counselling. …”
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Research on process optimization and trajectory planning of EA4T axle robot grinding by Feng ZHANG, Zhongli FENG, Feng XU, Deming ZHANG, Xiangrui ZENG, Jianwei MA, Shilei ZHANG

“…The grinding force, feed rate and spindle speed corresponding to the optimal grinding process parameters are entered into the control system. …”
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Ultrafast complex-valued 4D fMRI reveals sleep-induced brain respiratory pulsation changes in both magnitude and phase signals by Saara Sofia Syväoja, Lauri Raitamaa, Heta Helakari, Jussi Kantola, Matti Järvelä, Janne Kananen, Ville Isokoski, Vesa Korhonen, Tommi Väyrynen, Timo Tuovinen, Jürgen Hennig, Vesa Kiviniemi

“…To study these pulsations more deeply, we employed ultrafast magnetic resonance encephalography (MREG) to capture complex-valued 4D fMRI brain data at a critical 10 Hz sampling rate in healthy volunteers during wakefulness and sleep. …”
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Effects of Dietary Schizochytrium Algae as ω-3 PUFA Source on the Egg-Laying Quail Performance, Serum Indexes, and Egg Yolk Fatty Acids Contents by Yifan Chang, Yue Xuan, Ruinan Zhang, Xuemei Ding, Qiufeng Zeng, Jianping Wang, Shiping Bai, Shanshan Li, Yan Liu, Yuchuan Chen, Keying Zhang

“…The objective of this experiment is to investigate the effects of SAP or SAO as ω-3 PUFA raw materials on production performance, egg quality, serum immunity, serum lipids, and fatty acid deposition patterns in the eggs of laying quails. Chinese yellow-feathered quails served as the experimental subjects. …”
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Skeletal muscle lncRNA profile associated with fatty acids in Nellore beef cattle by Bruna Maria Salatta, Maria Malane Magalhães Muniz, Larissa Fernanda Simielli Fonseca, Lucio Flavio Macedo Mota, Caio de Souza Teixeira, Gabriela Bonfá Frezarim, Marta Serna-García, Danielly Beraldo dos Santos Silva, Angélica Simone Cravo Pereira, Fernando Baldi, Lucia Galvão de Albuquerque

“…The K-means analysis was used to classify the 48 animals into three clusters based on their FA patterns. The C1 had significantly (p ≤ 0.05) higher PUFA, ω3, ω6, linoleic and α-linolenic content. …”
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The Role of Values and Emotions in Accepting Fake Political News in the Post-Truth Era by Amir Mollaee Mozaffari, Ali Ashraf Nazari

“…The interview data were analyzed using Discursive Psychology, focusing on the linguistic patterns and discourse structures in the participants' responses. …”
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Prevalence and characteristics of foreign body-induced upper gastrointestinal obstruction in dogs by Lalita Laiket, Wijit Sutthiprapa, Suchawalee Khattiya, Pimjai Temwichitr, Jatuporn Rattanasrisomporn, Naris Thengchaisri

“…Small-breed dogs were more likely to have foreign bodies in the esophagus, while larger dogs (medium and large breeds) were more likely to have them in the stomach (p < 0.001). Distinct material patterns emerged between the esophagus and stomach. …”
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Machine Learning Creates a Simple Endoscopic Classification System that Improves Dysplasia Detection in Barrett’s Oesophagus amongst Non-expert Endoscopists by Vinay Sehgal, Avi Rosenfeld, David G. Graham, Gideon Lipman, Raf Bisschops, Krish Ragunath, Manuel Rodriguez-Justo, Marco Novelli, Matthew R. Banks, Rehan J. Haidry, Laurence B. Lovat

“…In a blinded manner, videos were shown to 3 experts who were asked to interpret them based on their mucosal and microvasculature patterns and presence of nodularity and ulceration as well as overall suspected diagnosis. …”
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Results of a Multicenter Study on the Efficacy and Safety of Inosine Glycyl-Cysteinyl-Glutamate Disodium in the Treatment of Acute Ethanol Poisoning by I. A. Shikalova, A. N. Lodyagin, V. G. Antonov, A. Y. Simonova, N. B. Loginova, E. V. Baskakov, L. G. Zaitseva, V. V. Shilov, S. P. Katasonov

“…Comparative intergroup and intragroup analyses were carried out according to the main clinical, laboratory parameters and EEG monitoring data.Results The study showed a positive effect of the study drug — a reduction in the coma period was noted (from 137 (75; 180) minutes to 78 (50; 155) minutes (p<0.001)), higher values of the Glasgow-Pittsburgh scale were recorded after 3 and 6 hours from the start of the therapy (p<0.01), a reduction in the time of formation of EEG awakening patterns in patients with delta coma activity from 192.2 (161.9; 222.5) minutes to 112.5 (97.6; 127.6) minutes (p<0.001), a decrease in heart rate (p<0.02), a decrease in the number of complaints of weakness and dizziness (p<0.005), in patients with high ALT levels, the frequency of development and severity of tremor decreased (p<0.01). …”
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Prevalence and spatial distributions of trachomatous inflammation-follicular among children aged 1–9 years in rural areas of Yilmana Densa and Gonji Kolela districts, Northwestern... by Misganaw Alelign, Asmamaw Malede, Eshetu Shifaw, Tesfahun Taddege, Yideg Abinew, Metadel Adane

“…The Gi_Bin field was computed in hot spot spatial analysis, independent of the False Discovery Rate correction (FDR), to detect important hot spots and cold spots. …”
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Reviewer Acknowledgements: Bridging Science, Care, and Community – GHMJ (Global Health Management Journal), Volume 8, Number 2, 2025 by GHMJ (Global Health Management Journal)

“…Beginning with clinical and pharmacological research, the issue highlights a study on radiographic patterns in tuberculosis patients with and without diabetes (Fatihah et al., 2025)—a dual burden increasingly relevant in both endemic and developing contexts. …”
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Preparation of gasified ash-based zeolite molecular sieve PEI modification and CO2 adsorption performance by Duo ZHANG, Chengcheng JIAO, Hu WEN, Jun DENG, Xiaowei ZHAI, Chun LIU, Yang DU

“…Aiming at the problems of bulk solid waste accumulation and environmental pollution caused by the large output and low utilization rate of coal-to-oil gasification ash, and combining with the strategic goal of "double-carbon", the idea of combining gasification ash functional filling, CO2 absorption and storage, and the reuse of air mining area is proposed. …”
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Molecular characteristics of human adenovirus isolated from the 2024 influenza-like illness outbreaks in Suzhou City, China by Jia Zang, Yueping Xing, Hongkai Zhang, Yanshi Wu, Xuerong Ya, Qiang Shen, Zefeng Dong

“…These HAdV-related respiratory outbreaks occurred during the spring-summer and autumn-winter transitions, showing no significant regional differences but a slightly higher positive rate in males than in females (13.83% vs. 7.66%, p = 0.028). …”
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Insights on the effect of mega-carcass abundance on the population dynamics of a facultative scavenger predator and its prey by Sidous, Mellina, Cubaynes, Sarah, Gimenez, Olivier, Drouet-Hoguet, Nolwenn, Dray, Stéphane, Bollache, Loïc, Madhlamoto, Daphine, Ngwenya, Nobesuthu Adelaide, Fritz, Hervé, Valeix, Marion

“…Models that allow hyaena and their prey populations’ growth rate to vary depending on these four periods contributed significantly to explain variations in their density, which is consistent with an effect of management measures on the population dynamics of hyaena and its prey.  …”
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Prediction of Key Quality Parameters in Hot Air-Dried Jujubes Based on Hyperspectral Imaging by Quancheng Liu, Chunzhan Yu, Yuxuan Ma, Hongwei Zhang, Lei Yan, Shuxiang Fan

“…To further enhance modeling accuracy, deep learning models such as bidirectional long short-term memory (BiLSTM), bidirectional gated recurrent unit (BiGRU), and convolutional neural network–bidirectional gated recurrent unit (CNN-BiGRU) were introduced and compared comprehensively under the optimal spectral preprocessing conditions. …”
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Mixture of prompts learning for vision-language models by Yu Du, Yu Du, Yu Du, Yu Du, Yu Du, Tong Niu, Tong Niu, Tong Niu, Tong Niu, Tong Niu, Rong Zhao, Rong Zhao, Rong Zhao, Rong Zhao, Rong Zhao

“…Additionally, we introduce a novel gating mechanism to ensure the router selects prompts based on their similarity to hard prompt templates, which both retains knowledge from hard prompts and improves selection accuracy. …”
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