Evaluating the ecological and social targeting of a compensation scheme in Bangladesh. by Annabelle Jade Bladon, Essam Yassin Mohammed, Belayet Hossain, Golam Kibria, Liaquat Ali, E J Milner-Gulland

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Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke by Li Xin, Li Wei, Ng Man-In, Parry Natalie Ann, Li Siqi, Li Rui, Guo Rui

“…Compared with Group 1, Group 2 showed significant increases in pulse features H2/H1, H3/H1, W1, W2, and W2/T, and decreased in MSE1 – MSE7 (P < 0.05), while Group 3 showed significant increases in pulse features T5/T4, T, H1/T1, W1, W2, AS, and Ad, and decreased in MSE1 – MSE20 (P < 0.05). …”
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Rare Late Pleistocene-early Holocene human mandibles from the Niah Caves (Sarawak, Borneo). by Darren Curnoe, Ipoi Datan, Jian-Xin Zhao, Charles Leh Moi Ung, Maxime Aubert, Mohammed S Sauffi, Goh Hsiao Mei, Raynold Mendoza, Paul S C Taçon

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Understanding discrepancies in soil moisture from SMAP and AMSR2: insights into performance and dry-down behavior by Zhiqing Peng, Tianjie Zhao, Jiancheng Shi, Lu Hu, Thomas J. Jackson, Michael H. Cosh, Hui Lu, Xiaodong Gao, Jingyao Zheng, Panpan Yao, Qian Cui, Peng Guo, Peilin Song, Zushuai Wei, Mengjia Wang, Anmin Fu

“…Additionally, the use of distinct algorithms across SM products complicates direct comparisons. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Cross-technique annotation may enhance DL models by integrating benefits from specialized, time-intensive MRI sequences while not relying on them. Further validation in prospective studies is needed. …”
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Pathway activation model for personalized prediction of drug synergy by Quang Thinh Trac, Yue Huang, Tom Erkers, Päivi Östling, Anna Bohlin, Albin Osterroos, Mattias Vesterlund, Rozbeh Jafari, Ioannis Siavelis, Helena Backvall, Santeri Kiviluoto, Lukas Orre, Mattias Rantalainen, Janne Lehtiö, Soren Lehmann, Olli Kallioniemi, Yudi Pawitan, Trung Nghia Vu

“…Here, we introduce Drug synergy Interaction Prediction (DIPx), an algorithm for personalized prediction of drug synergy based on biologically motivated tumor- and drug-specific pathway activation scores (PASs). …”
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Individual differences in response to alcohol exposure in zebrafish (Danio rerio). by Heloysa Araujo-Silva, Jaquelinne Pinheiro-da-Silva, Priscila F Silva, Ana C Luchiari

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Fatigue symptoms in relation to neuroticism, anxiety-depression, and musculoskeletal pain. A longitudinal twin study. by Olav Vassend, Espen Røysamb, Christopher Sivert Nielsen, Nikolai Olavi Czajkowski

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Directed disruption of IL2 aggregation and receptor binding sites produces designer biologics with enhanced specificity and improved production capacity by Amy Dashwood, Ntombizodwa Makuyana, Rob van der Kant, Arman Ghodsinia, Alvaro R. Hernandez, Stephanie Lienart, Oliver Burton, James Dooley, Magda Ali, Lubna Kouser, Francisco Naranjo, Matthew G. Holt, Frederic Rousseau, Joost Schymkowitz, Adrian Liston

“…Y59K created a cation-cation repulsion with IL2RA, while Q30W enhanced CD8 T cell activity through potential π-stacking enhancing binding to IL2RB, with the combination highly stimulatory for CD8 T cells. …”
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A Hybrid Deep Learning–Based Approach for Visual Field Test Forecasting by Ashkan Abbasi, PhD, Sowjanya Gowrisankaran, PhD, Wei-Chun Lin, MD, PhD, Xubo Song, PhD, Bhavna Josephine Antony, PhD, Gadi Wollstein, MD, Joel S. Schuman, MD, Hiroshi Ishikawa, MD

“…Conventional VF forecasting methods require numerous prior tests, while deep learning techniques have shown promising results with fewer tests. …”
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The small non-coding RNA response to virus infection in the Leishmania vector Lutzomyia longipalpis. by Flávia Viana Ferreira, Eric Roberto Guimarães Rocha Aguiar, Roenick Proveti Olmo, Karla Pollyanna Vieira de Oliveira, Emanuele Guimarães Silva, Maurício Roberto Viana Sant'Anna, Nelder de Figueiredo Gontijo, Erna Geessien Kroon, Jean Luc Imler, João Trindade Marques

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Cardiometabolic index predicts cardiovascular events in aging population: a machine learning-based risk prediction framework from a large-scale longitudinal study by Yuanxi Luo, Yuanxi Luo, Zhiyang Yin, Xin Li, Xin Li, Chong Sheng, Ping Zhang, Dongjin Wang, Dongjin Wang, Yunxing Xue

“…BackgroundWhile the Cardiometabolic Index (CMI) serves as a novel marker for assessing adipose tissue distribution and metabolic function, its prognostic utility for cardiovascular disease (CVD) events remains incompletely understood. …”
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Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network by Brett H. Smith, MD, Jackson G. Wolfe, Alvina Karam, MD, Bart M. Demarkschalk, MD, Courtney M. Hrdlicka, MD, Deena M. Nasr, DO, Felix E. Chukwudelunzu, MD, Charisse A. Nord, MA, Emily A. Pahl, BA, Claire Fernandez, PhD, Sam Wood, Zoe VJ. Woodhead, PhD, Davide Carone, MD, DPhil, George Harston, MBBS, Dphil, Stephen W. English, MD, MBA

“…Data was collected from all patients who underwent video telestroke evaluation in a 3-month preimplementation period before installation of the software (from February 10, 2024 to May 9, 2024) and a 3-month postimplementation period while the software was in use (from May 10, 2024 to August 9, 2024). …”
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Quality identification of Amomi fructus using E-nose, HS-GC-IMS, and intelligent data fusion methods by Pan-Pan Zhang, Xin-Jing Gui, Xin-Jing Gui, Xin-Jing Gui, Xue-Hua Fan, Han-Li, Hai-Yang Li, Xiao-Peng Li, Feng-Yu Dong, Yan-Li Wang, Jing-Yao, Jing-Yao, Jun-Han Shi, Jun-Han Shi, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu, Rui-Xin Liu

“…In conclusion, the intelligent data fusion algorithm based on E-nose and HS-GC-IMS data effectively identifies the authenticity, origin, and provenance of AF, providing a rapid and accurate method for quality evaluation.…”
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Genetic structure and dispersal patterns in Limnoria nagatai (Limnoriidae, Isopoda) dwelling in non-buoyant kelps, Eisenia bicyclis and E. arborea, in Japan. by Hiroki Yoshino, Futa Yamaji, Takeshi A Ohsawa

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Artificial intelligence-assisted diagnosis and prognostication in low ejection fraction using electrocardiograms in inpatient department: a pragmatic randomized controlled trial by Dung-Jang Tsai, Chin Lin, Wei-Ting Liu, Chiao-Chin Lee, Chiao-Hsiang Chang, Wen-Yu Lin, Yu-Lan Liu, Da-Wei Chang, Ping-Hsuan Hsieh, Chien-Sung Tsai, Yuan-Hao Chen, Yi-Jen Hung, Chin-Sheng Lin

“…Conclusions Implementation of an AI-ECG algorithm enhanced the early diagnosis of low EF in the inpatient setting, primarily by improving diagnostic efficiency rather than increasing overall healthcare utilization. …”
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Chinese Massage (Tuina) Attenuates Knee Osteoarthritis by Modulating Autophagy-Related Cytokines: A Multidisciplinary Methodological Investigation by Wang Z, Zhao C, Li M, Zhang L, Diao J, Wu Y, Yang T, Shi M, Lei Y, Wang Y, Li M, Bian Y, Zhou Y, Xu H

“…ELISA revealed that Tuina downregulated interferon gamma, parathyroid hormone, interleukin (IL)– 1β, matrix metalloproteinase-3, and IL-17 levels in the cartilage while upregulating osteocalcin and transforming growth factor-β 1 levels. …”
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Global high-resolution fire-sourced PM_2.5 concentrations for 2000–2023 by Y. Hu, C. Tian, X. Yue, Y. Lei, Y. Cao, R. Xu, Y. Guo

“…Simulated all-source [PM<span class="inline-formula">_2.5</span>] is bias-corrected using a machine learning algorithm, which incorporates ground observations from over 9000 monitoring sites worldwide. …”
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Pemodelan Kausal Faktor-Faktor Beban Keluarga dalam Merawat Pasien Kanker Menggunakan Algoritma S3C-Latent by Rizki Surtiyan Surya, Christantie Effendy, Ridho Rahmadi

“…A family caregiver helps to overcome almost all problems experienced by the patients both while being treated at home and in the hospital. …”
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Research note: Genetic parameters estimation of egg quality traits in Beijing-You chickens by Xinying Xu, Yuze Yang, Xiaoke Zhang, Dexin Wang, Qin Li, Zhuo Chang, Aixin Ni, Ziyan Huang, Jingwei Yuan, Yanyan Sun, Yunlei Li, Adamu Mani Isa, Jilan Chen

“…ESS and ESWR exhibited a high positive genetic correlation (rG = 0.844), while YC and AH showed a significant negative correlation (rG = -0.662). …”
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