Stratification system with dual human endogenous retroviruses for predicting immunotherapy efficacy in metastatic clear-cell renal cell carcinoma by Li Xu, Stephane Oudard, Catherine Sautes-Fridman, Xiaoping Su, Gabriel G. Malouf, Virginie Verkarre, Salma Kotti, Fangrong Yan, Yann-Alexandre Vano, Wolf Herve Fridman, Cheng-Ming Sun, Xiaofan Lu, Wenxuan Cheng

“…ERV expression was quantified using the ERVmap algorithm from RNA sequencing data. Our primary objective was to correlate ERV expression with progression-free survival, with overall survival and time-to-second-treatment survival as secondary endpoints. …”
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Estimación retrospectiva de los casos iniciales de COVID-19 en Santiago Región Metropolitana en Chile by Jenny Márquez, David García-García, María Isabel Vigo, César Bordehore

“…During the first wave SRM accounted for 70%–76% of those infected in Chile, while from August 2020 onwards it accounted for 36%–39%. …”
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Cryptococcus neoformans urease affects the outcome of intracellular pathogenesis by modulating phagolysosomal pH. by Man Shun Fu, Carolina Coelho, Carlos M De Leon-Rodriguez, Diego C P Rossi, Emma Camacho, Eric H Jung, Madhura Kulkarni, Arturo Casadevall

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Disturbance types play a key role in post-disturbance vegetation recovery in boreal forests of Northeast China by Yue Yu, Zhihua Liu, Wenjuan Wang, Wenru Xu, Qiushuang Lv, Kaili Li, Wenhua Guo, Lei Fang, Qinglong Zhang, Zhiwei Wu, Bo Liu

“…Fire disturbance exhibited the most rapid vegetation recovery, followed by harvest disturbance, while urbanization disturbance displayed the slowest recovery, aligning with expectations. …”
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ChemicalUniverseMachine. I. Uncovering the Cosmic Evolution of Metals in the Galaxy–Interstellar Medium–Circumgalactic Medium Ecosystem by Moka Nishigaki, Peter Behroozi, Masami Ouchi, Hong Guo, Rachel S. Somerville, Anna R. Gallazzi, Kimihiko Nakajima, Kuria Watanabe

“…CGM metal enrichment is thus slow in high- z halos with deep potential wells. While f _H2 monotonically increases with halo mass, f _HI peaks at  ∼10 ^12 −10 ^13 M _⊙ , suggesting that reinfall may be inefficient in larger-mass halos.…”
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Assessment of prostate cancer aggressiveness through the combined analysis of prostate MRI and 2.5D deep learning models by Yalei Wang, Yuqing Xin, Baoqi Zhang, Fuqiang Pan, Xu Li, Manman Zhang, Yushan Yuan, Lei Zhang, Peiqi Ma, Bo Guan, Yang Zhang

“…Subsequently, radiomic features were extracted using pyradiomics tool, while deep learning features from each cross-section were derived using the Inception_v3 neural network. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

“…The new models demonstrated good performance according to R2 values, while the SVR model ranged from unacceptable to good. …”
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Kombinasi K-Means dan Support Vector Machine (SVM) untuk Memprediksi Unsur Sara pada Tweet by Wiga Maulana Baihaqi, Muliasari Pinilih, Miftakhul Rohmah

“…This study aims to make sentence corpus containing SARA elements obtained from twitter, then label sentences with labels containing elements of SARA and not, and conduct group sentiments. The algorithm used for the labeling process is k-means, while Support Vector Machine (SVM) is used for the classification process. …”
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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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