BdSentiLLM: A Novel LLM Approach to Sentiment Analysis of Product Reviews by Atia Shahnaz Ipa, Priyo Nath Roy, Mohammad Abu Tareq Rony, Ali Raza, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

“…We collected a dataset of 3,864 product reviews, revealing that 84% were written in English, followed by Bangla, Banglish (Romanized Bangla), and Bangla-English code-switched content. …”
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Synthetic fibrosis distributions for data augmentation in predicting atrial fibrillation ablation outcomes: an in silico study by Alexander M. Zolotarev, Alexander M. Zolotarev, Kiane Johnson, Kiane Johnson, Yusuf Mohammad, Omnia Alwazzan, Omnia Alwazzan, Gregory Slabaugh, Gregory Slabaugh, Caroline H. Roney, Caroline H. Roney

“…Our approach aims to improve the predictive performance of the DL pipeline by enhancing dataset diversity and better-capturing patient variability.ResultsWe showed that the fibrosis distributions generated by the diffusion model closely resemble real LGE-MRI distributions, based on metrics such as mean intensities (1.1±0.2 vs. 1.1±0.3) and average Shannon entropy (0.77±0.06 and 0.81±0.03). …”
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Field Study of UAV Variable-Rate Spraying Method for Orchards Based on Canopy Volume by Pengchao Chen, Haoran Ma, Zongyin Cui, Zhihong Li, Jiapei Wu, Jianhong Liao, Hanbing Liu, Ying Wang, Yubin Lan

“…A DJI M300 drone equipped with LiDAR was used to capture high-precision 3D point cloud data of tree canopies. An improved progressive TIN densification (IPTD) filtering algorithm and a region-growing algorithm were applied to segment the point cloud of fruit trees, construct a canopy volume-based classification model, and generate a differentiated prescription map for spraying. …”
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Origin Traceability of Chinese Mitten Crab (<i>Eriocheir sinensis</i>) Using Multi-Stable Isotopes and Explainable Machine Learning by Danhe Wang, Chunxia Yao, Yangyang Lu, Di Huang, Yameng Li, Xugan Wu, Weiguo Song, Qinxiong Rao

“…By comparing the classification performance of Random Forest, XGBoost, and Logistic Regression models, we found that the Random Forest model outperformed the others, achieving high accuracy (91.3%) in distinguishing samples from different origins. …”
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Prognostic value of receptor activator of nuclear factor kappa-B (RANK) marker in patients with breast cancer by S. I. Zabroda, E. A. Maslyukova, L. I. Korytova, G. A. Raskin, K. M. Pozharissky, O. V. Korytov

“…Despite notable progress made in studying breast cancer (BC), the mechanisms of metastases, in view of the classification into molecular subtypes, in patients with BC remain to be fully uninvestigated, in the presence of a good prognosis in particular. …”
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Green and blue infrastructure but not anthropogenic drivers affect invertebrate communities in urban ecosystems by Joeri Morpurgo, Roy P. Remme, Quinten D. Mudde, Emilie A. Didaskalou, Kornelia J. Serwatowska, Krijn B. Trimbos, Mingming Hu, Peter M. van Bodegom

“…At the same time, very few models (1.3 %) performed well during validation.This finding indicates challenges in predicting species distributions and suggest that dispersal is not a limiting factor in The Hague’s urban environment, as current green infrastructures appear sufficient to support many species. …”
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The application of electroencephalogram in depression research: bibliometric and technological application analysis from 2005 to 2025 by Yican Hao, Yican Hao, Yanli Han, Jian Huang, Cangcang Hao, Bo Yu, Bo Yu, Shenting Wei, Shenting Wei, Kuiyan Zhou, Kuiyan Zhou

“…Cluster analysis indicated that the research in this field is transforming from basic electrophysiological features to clinical applications, that is, exploring the significance of EEG in the diagnosis, classification, and prediction of depression.ConclusionEEG research on depression is developing toward individualization and intelligence. …”
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Determination of the Accuracy of Thyromental Height Test for Predicting Difficult Laryngoscopy in Obstetric Patients Who Are Candidates for Cesarean Section: An Observational Study by Saghar Samimi Sadeh, MD, Babak Moayer, MD, Masoomeh Natajmajd, MD, Parisa Kianpour, PharmD, Kousha Farhadi, MD, Mahgol Etezadi, PharmD, Mojgan Rahimi, MD, Farhad Etezadi, MD

“…Results: After eligibility assessment, 156 patients entered the study, of which 16 had Cormack-Lehane grades III and IV and were considered difficult laryngoscopy. …”
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ForestSemantic: a dataset for semantic learning of forest from close-range sensing by Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha Hyyppä

“…Semantic annotations of 3D forest scenes are fundamental for DL algorithm developments. …”
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Machine Learning for Predicting Zearalenone Contamination Levels in Pet Food by Zhenlong Wang, Wei An, Jiaxue Wang, Hui Tao, Xiumin Wang, Bing Han, Jinquan Wang

“…The ensemble model, which combined the predictions from all classifiers, further improved the classification performance, achieving the highest accuracy at 90.1%. …”
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An Ensemble Learning Framework with Explainable AI for interpretable leaf disease detection by Mohammad Rifat Ahmmad Rashid, Md. AL Ehtesum Korim, Mahamudul Hasan, Md Sawkat Ali, Mohammad Manzurul Islam, Taskeed Jabid, Raihan Ul Islam, Maheen Islam

“…The proposed framework unites multiple architectures – CNN, DenseNet121, EfficientNetB0, InceptionV3, MobileNetV2, ResNet50, and Xception – into an ensemble that attained overall accuracy of 99%, alongside high recall and F1-scores. …”
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A multi-level, multi-scale comparison of LiDAR- and LANDSAT-based habitat selection models of Mexican spotted owls in a post-fire landscape by Ho Yi Wan, Michael A. Lommler, Samuel A. Cushman, Jamie S. Sanderlin, Joseph L. Ganey, Andrew J. Sánchez Meador, Paul Beier

“…By focusing on 2nd order (home range selection) and 3rd order (microhabitat selection) habitat use, we assessed the predictive performance and ecological relevance of these datasets. …”
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A 39‐Year Nationwide Study of Uveal Melanoma in Taiwan by An‐Ning Chao, Angel Chao, Wei‐Yang Chang, Chun‐Chieh Wang, Yueh‐Ju Tsai, Kuan‐Jen Chen, Yih‐Shiou Hwang, Lan‐Yan Yang

“…By employing the International Classification of Diseases diagnostic codes, we identified patients who were diagnosed with UM between January 1980 and December 2018. …”
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STEP.De study—a multicentre cluster-randomised effectiveness trial of exercise therapy for patients with depressive symptoms in healthcare services: study protocol by Andreas Heissel, Anou Pietrek, Melanie Schwefel, Kahar Abula, Gregor Wilbertz, Stephan Heinzel, Michael Rapp

“…The Sport/Exercise Therapy for Depression study is a multicentre cluster-randomised effectiveness trial that aims to compare the effectiveness and cost efficiency of exercise therapy and psychotherapy as antidepressant treatment.Methods and analysis 480 patients (aged 18–65) with an International Classification of Diseases diagnosis associated with depressive symptoms are recruited. …”
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Glacier, Wetland, and Lagoon Dynamics in the Barroso Mountain Range, Atacama Desert: Past Trends and Future Projections Using CA-Markov by German Huayna, Edwin Pino-Vargas, Jorge Espinoza-Molina, Carolina Cruz-Rodríguez, Fredy Cabrera-Olivera, Lía Ramos-Fernández, Bertha Vera-Barrios, Karina Acosta-Caipa, Eusebio Ingol-Blanco

“…A normalized index classification was carried out to generate LULC maps for the years 1986, 2001, 2012, and 2022. …”
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Trends in delivery hospitalizations and the impact of ICD-9-CM to ICD-10-CM-PCS transition in Portugal between 2010 and 2018 by Catarina de Paraíso Camarinha, Maria Miguel Gomes Oliveira, Cecília Elias, Miguel de Araújo Nobre, Leonor Bacelar Costa Nicolau, Cristina Furtado, Andreia Silva da Costa, Paulo Jorge da Silva Nogueira

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Depression and health outcomes: An umbrella review of systematic reviews and meta-analyses of observational studies by Xiaojuan Chen, Xiaoning Liu, Fengjuan Li, Haitian He, Xinying Li, Tianhang Qin, Bin Jiang, Yuge Chen, Yanqi Wang, Yuhao Su, Xiaojie Wang, Lei Liang, Huiling Hua, Jun Wu, Jianping Ma, Fulan Hu, Pei Qin

“…Moderate-quality evidence linked depression to specific mortality in bladder cancer (Class IV), all-cause mortality in myocardial infarction (Class III), mortality within 2 years of initial assessment in coronary artery disease (Class IV), major adverse cardiovascular events after percutaneous coronary intervention (Class III), irritable bowel syndrome (insignificant), fear of falling (Class III), and frailty (Class III). …”
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HER2 Testing Characteristics Can Predict Residual Cancer Burden following Neoadjuvant Chemotherapy in HER2-Positive Breast Cancer by Tamera J. Lillemoe, Mara Rendi, Michaela L. Tsai, Monica Knaack, Rina Yarosh, Erin Grimm, Barbara Susnik, Janet Krueger, Susan Olet, Karen K. Swenson

“…Tumors with suboptimal response (RCB-II and RCB-III) were more likely to demonstrate less than 100% HER2 IHC 3+ staining (p<0.0001), lower HER2 FISH copies (p<0.0001), and lower HER2/CEP17 ratios (p=0.0015) compared to RCB-I and RCB-II responses. …”
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Impact of Order Set on Exocrine Pancreatic Insufficiency in Chronic Pancreatitis, Pancreatic Cancer, and Pancreatic Resection by Michael Ladna, Ishaan Madhok, Adnan Bhat, Nicole Ruiz, Jackson Brown, Jake Wilson, Peter Jiang, Robert Taylor, Mark Radetic, John George, Christopher Forsmark

“…Methods: A retrospective analysis of all patients with International Classification of Diseases codes for EPI, CP, and PDAC or CPT code for pancreatic resection from Feb-2018 to Feb-2021. …”
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Identification and attribution analysis of integrated ecological zones based on the XGBoost-SHAP model: A case study of Chengdu, China by Xiaobin Huang, Xiaosheng Liu, Yuanhang Jin, Xue Gao, Youliang Chen

“…LER exhibited a “low in the northwest-central, high in the southeast” pattern, with low-risk areas gradually expanding. (3) The Ecological Control Zone (ECZ) and Ecological Improvement Zone (EIZ) dominated the study area, covering over 9,591 km2. …”
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