Annotation-free prediction of microbial dioxygen utilization by Avi I. Flamholz, Joshua E. Goldford, Philippa A. Richter, Elin M. Larsson, Adrian Jinich, Woodward W. Fischer, Dianne K. Newman

“…Since genome annotation is compute-intensive and relies on many assumptions, we asked if annotation-free methods also perform well. We discovered that simple and efficient models based entirely on genomic sequence content—e.g., triplets of amino acids—perform as well as intensive annotation-based classifiers, enabling rapid processing of genomes. …”
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Dataset of SCAPS-1D simulated halide perovskite solar cells with SHAP and machine learning-based PCE optimizationZenodo by Ivan E. Novoselov, Alexander M. Gvozdev, Andrey A. Smirnov, Ivan S. Zhidkov

“…This data article describes a dataset generated by using SCAPS-1D simulation software to capture photovoltaic performance metrics for perovskite solar cells (PSC). …”
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Long non-coding RNA SNHG7 as a key driver of colorectal cancer proliferation and metastasis by inhibiting cuproptosis by Xin Guo, Xinyi He, Weitao Chen, Jianlong Zhou, Zejian Lyu, Zhou Li, Yong Li

“…Clinical feature analysis and immune microenvironment assessment of identified lncRNAs were conducted, and in vitro assays were performed to validate their expression pattern and effect in CRC. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…To address the persistent challenges of computational complexity and efficiency limitations in existing methods, we propose RMIS-Net—an innovative lightweight segmentation network with three core components: a convolutional layer for preliminary feature extraction, a shift-based fully connected layer for parameter-efficient spatial modeling, and a tokenized multilayer perceptron for global context capture. …”
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Electricity Theft Detection Using Rule-Based Machine Leaning (rML) Approach by Sheyda Bahrami, Erol Yumuk, Alper Kerem, Beytullah Topçu, Ahmetcan Kaya

“…The UEDAS smart business power consumption dataset's real-world data is used to assess the performance of the suggested technique. Our technique is an innovation in theft detection that combines years of intensive theft tracking with the use of rule-based systems as feature spaces for traditional machine learning models. …”
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Advances in Deep Learning for Semantic Segmentation of Low-Contrast Images: A Systematic Review of Methods, Challenges, and Future Directions by Claudio Urrea, Maximiliano Vélez

“…We compare the performance of 25 models, evaluating accuracy (e.g., mean Intersection over Union (mIoU), Dice Similarity Coefficient (DSC)), computational efficiency, and robustness across benchmark datasets relevant to automation and robotics. …”
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The association of spinal morning stiffness with lumbar disc degeneration and C-reactive protein: The back complaints in older adults (BACE) study by Daniel Feller, Roxanne van den Berg, Wendy T.M. Enthoven, Edwin H.G. Oei, Sita M. Bierma-Zeinstra, Bart W. Koes, Alessandro Chiarotto

“…., multilevel disc space narrowing and multilevel osteophytes), and CRP was assessed. Regression models adjusted for confounding variables were performed. …”
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Nanoparticle‐Delivered siRNA Targeting NSUN4 Relieves Systemic Lupus Erythematosus through Declining Mitophagy‐Mediated CD8+T Cell Exhaustion by Bincheng Ren, Kaini He, Ning Wei, Shanshan Liu, Xiaoguang Cui, Xin Yang, Xiaojing Cheng, Tian Tian, Ru Gu, Xueyi Li

“…CD7highCD74high CD8+T cells displayed exhausted features and exhibited a superior diagnostic value in SLE. …”
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Exploring MAPK and mTOR Pathways in Feline Thyroid Tumors by Alexandra Monteiro, Tiago Bordeira Gaspar, Inês Borges, Sule Canberk, Mafalda Pinto, Isabel Pires, Paula Soares, Catarina Tavares

“…This study introduces cats as potential animal models for human thyroid tumorigenesis, with further research required to confirm such potential.…”
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ICT-Net: An Integrated Convolution and Transformer-Based Network for Complex Liver and Liver Tumor Region Segmentation by Chukwuemeka Clinton Atabansi, Hui Li, Sheng Wang, Jing Nie, Haijun Liu, Bo Xu, Xichuan Zhou, Dewei Li

“…However, two major challenges remain: 1) existing models struggle to extract robust spatial features for accurate liver and liver lesion segmentation, and 2) publicly available liver datasets with HCC annotations are limited. …”
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Whole‐Blood RNA Sequencing Profiling of Patients With Rheumatoid Arthritis Treated With Tofacitinib by Chiara Bellocchi, Ennio Giulio Favalli, Gabriella Maioli, Elena Agape, Marzia Rossato, Matteo Paini, Adriana Severino, Barbara Vigone, Martina Biggioggero, Elena Trombetta, Roberto Caporali, Lorenzo Beretta

“…A comprehensive analysis of responses to JAKi, including tofacitinib, by RNA sequencing (RNAseq) would allow the discovery of transcriptomic markers with a two‐fold meaning: (1) an improved knowledge about the mechanisms of response to treatment (inference modeling) and (2) the definition of features that may be useful in treatment optimization and assignment (predictive modeling). …”
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Epidemiological and anatomopathological profile of colorectal cancer: A cross-sectional study by Lahoucine Amsdar, Jamal Tikouk, Mohamed Amine Baba, Hafid Arzoug, Jaouad Elkhalladi, Salima Zerouali, Kenza Oqbani, Ghizlane Rais, Mehdi Soufi

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The Long-Term Annual Datasets for Azov Sea Basin Ecosystems for 1925–2024 and Russian Sturgeon Occurrences in 2000–2024 by Mikhail M. Piatinskii, Dmitrii G. Bitiutskii, Arsen V. Mirzoyan, Valerii A. Luzhniak, Vladimir N. Belousov, Dmitry F. Afanasyev, Svetlana V. Zhukova, Sergey N. Kulba, Lyubov A. Zhivoglyadova, Dmitrii V. Hrenkin, Tatjana I. Podmareva, Polina M. Cherniavksaia, Dmitrii S. Burlachko, Nadejda S. Elfimova, Olga V. Kirichenko, Inna D. Kozobrod

“…This paper presents long-term annual and spatial occurrence datasets to create statistical and machine learning models to better understand the distribution patterns as well as biological and ecological features. …”
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A hybrid YOLO-UNet3D framework for automated protein particle annotation in Cryo-ET images by Ziyang Liu, Chunhong Yuan, Zixin Zhang, Xiang Zhou, Xiangyu Li, Zhen Tian, Yuting Pei, Zuowen Jiang, Zhikui Tian

“…Our approach combines YOLO’s efficient region proposal capabilities with UNet3D’s powerful 3D feature extraction through a dual-branch architecture featuring optimized Spatial Pyramid Pooling—Fast (SPPF) modules and asymmetric feature splitting. …”
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Identification and experimental validation of biomarkers for chronic obstructive pulmonary disease complicated with pulmonary arterial hypertension based on bioinformatics and mach... by YANG Yan, TAO Chunrong, ZHU Youjun

“…Single-cell analysis was performed to reveal the expression patterns of these key genes in macrophages. …”
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Non-small cell lung cancer patients treated with Anti-PD1 immunotherapy show distinct microbial signatures and metabolic pathways according to progression-free survival and PD-L1 s... by David Dora, Balazs Ligeti, Tamas Kovacs, Peter Revisnyei, Gabriella Galffy, Edit Dulka, Dániel Krizsán, Regina Kalcsevszki, Zsolt Megyesfalvi, Balazs Dome, Glen J. Weiss, Zoltan Lohinai

“…We confirmed the predictive role of PFS-related key bacteria with multivariate statistical models (Lasso- and Cox-regression) and validated on an additional patient cohort (n = 60). …”
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MiR‐146a Reduces Inflammation in Experimental Pancreatitis via the TRAF6–NF‐κB Signaling Pathway in Mice by Xiaoyu Yang, Yuping Ren, Xueyang Li, Liang Xia, Jianhua Wan

“…Similar protective effects of miR‐146a were observed in AP models induced by l‐arginine and caerulein combined with LPS. …”
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Formation of the structure, mechanical and service properties of heat-resistant titanium aluminide alloys for turbine blades by Olha Halienkova

“…The purpose of the work is to develop the composition and establish the features of the formation of the structure of the intermetallic γ-alloy to ensure mechanical and service properties comparable to aviation alloys based on a nickel and iron-nickel basis. …”
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Impact of major depression on cardiovascular outcomes for individuals with hypertension: prospective survival analysis in UK Biobank by Daniel J Smith, Daniel Mackay, Nicholas Graham, Joey Ward, J P Pell, Jonathan Cavanagh, Sandosh Padmanabhan

“…Four mutually exclusive groups were compared: hypertension only (n=56 035), MDD only (n=15 098), comorbid hypertension plus MDD (n=12 929) and an unaffected (no hypertension, no MDD) comparison group (n=50 798).Setting UK Biobank.Participants UK Biobank participants without cardiovascular disease aged 39–70 who completed psychiatric questions relating International Classification of Diseases-10 Revision (ICD-10) diagnostic criteria on a touchscreen questionnaire at baseline interview in 2006–2010 (n=134 860).Primary and secondary outcome measures First-onset adverse cardiovascular outcomes leading to hospital admission or death (ICD-10 codes I20–I259, I60–69 and G45–G46), adjusted in a stepwise manner for sociodemographic, health and lifestyle features. Secondary analyses were performed looking specifically at stroke outcomes (ICD-10 codes I60–69 and G45–G46) and in gender-separated models.Results Relative to controls, adjusted HRs for adverse cardiovascular outcomes were increased for the hypertension only group (HR 1.36, 95% CI 1.22 to 1.52) and were higher still for the comorbid hypertension plus MDD group (HR 1.66, 95% CI 1.45 to 1.9). …”
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Single-cell characterization of the immune heterogeneity of pulmonary hypertension identifies novel targets for immunotherapy by Pan Jiang, Huai Huang, Mengshi Xie, Zilong Liu, Lijing Jiang, Hongyu Shi, Xiaodan Wu, Shengyu Hao, Shanqun Li

“…Research has shown that various immune cells play a significant role in the pathogenesis of PAH, both in patients diagnosed with the condition and in experimental models of PAH. Cell–cell communication is important for PAH progression and therapies, while the global cell landscape of intercellular signaling has not been elucidated. …”
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