Clinical characteristics, diagnosis, outcomes and lung microbiome analysis of invasive pulmonary aspergillosis in the community-acquired pneumonia patients by Min Deng, Huan Xu, Zhi Ao, Mengqi Li, Huifang Liu, Yuliang Liu

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Climatic variability and temperature and rainfall patterns in Murcia (1863-2017). Climate analysis techniques in the context of global change by Salvador Gil-Guirado, Alfredo Pérez-Morales

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High expression of DGKA indicates poor overall survival of nasopharyngeal carcinoma by Hao Chen, Runduan Lin, Qi Yuan, Xiaohang Gao, Lin Zhang, Rong Zhang

“…Survival analysis was conducted according to the Kaplan–Meier method. …”
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Distinct microbial signatures of liquid biopsy samples during gastric carcinogenesis and insights from extracellular vesicle analysis by Hee Sang You, Jae Yong Park, Hochan Seo, Beom Jin Kim, Jae Gyu Kim

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Genomic analysis of small renal masses reveals mutations linked with renal cell carcinoma and fast-growing tumors by Ieva Vaicekauskaitė, Algirdas Žalimas, Rasa Sabaliauskaitė, Kristina Žukauskaitė, Mantas Trakymas, Jurgita Ušinskienė, Albertas Ulys, Sonata Jarmalaitė

“…Non-benign mutations were tested for associations with RCC and clinical features. Receiver operating curve analysis used for evaluation of mutation biomarker models prediction of RCC and fast-growing tumors. …”
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Parameter Analysis of Pile Foundation Bearing Characteristics Based on Pore Water Pressure Using Rapid Load Test by Jing-Jie Su, Xue-Liang Zhao, Qing Guo, Wei-Ming Gong, Yu-Chen Wang, Tong-Xing Zeng

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Reticulon 4 in Breast Cancer: A Comprehensive Analysis of its Biomarker Potential for Prognosis, Immunology, and Drug Sensitivity by Tuğcan Korak, Murat Kasap

“…Expression and survival analyses were performed using HPA, TIMER, GEPIA, UALCAN, and PROGgeneV2; immune-related features were explored via TISIDB, TIMER, and Sangerbox, while drug sensitivity analysis was conducted using the CellMiner database. …”
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AI-Powered Synthesis of Structured Multimodal Breast Ultrasound Reports Integrating Radiologist Annotations and Deep Learning Analysis by Khadija Azhar, Byoung-Dai Lee, Shi Sub Byon, Kyu Ran Cho, Sung Eun Song

“…B-mode ultrasound (US) is essential for early detection, offering high sensitivity and specificity without radiation exposure. …”
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A meta-analysis approach for annotation and identification of lncRNAs controlling perirenal fat deposition in suckling lambs by María Alonso-García, Beatriz Gutiérrez-Gil, Rocío Pelayo, Pablo A. S. Fonseca, Héctor Marina, Juan José Arranz, Aroa Suárez-Vega

“…To that end, meta-analysis techniques have been implemented to efficiently characterize and detect differentially expressed transcripts from two different RNA-seq datasets, one including samples of two sheep breeds that differ in fat deposition features, Churra and Assaf (n = 14), and one generated from Assaf suckling lambs with different fat deposition levels (n = 8). …”
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Automated Analysis of Thoracic Aortic Aneurysms Based on Chest Computed Tomography Data: a Population Study in Moscow by A. V. Solovev, Yu. A. Vasilev, V. E. Sinitsyn, A. V. Vladzymyrskyy, D. S. Semenov

“…The analysis revealed that 13.3% of patients exhibited signs of thoracic aortic dilatation, while 0.8% had aneurysm signs. …”
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Analysis of Dengue and SARS-CoV-2 Coinfection in a Tertiary Care Hospital: A Retrospective Study by Vinayaka Korishetty, Pooja Rao, Suchitra Shenoy, Udayalaxmi Jeppu, Keerthiraj B.

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Quantitative analysis of targeted lipidomics in the hippocampus of APP/PS1 mice employing the UHPLC-MS/MS method by Shiyu Xiao, Xuemeng Wei, Bing Han, Xiaoqian Shi, Congzhen Wei, Rumeng Liang, Jingna Sun, Zheng Zhang, Zhengang Han, Li Shen

“…BackgroundAlzheimer’s disease (AD) is marked by the pathological features of amyloid-β plaque accumulation, as well as intracellular neurofibrillary tangles formation in the patients’ brain. …”
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Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

“…This research introduces a comprehensive Universal Data Envelopment Analysis (DEA) model to handle real-world problems fraught with uncertainty of every operational facet. …”
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Automated Analysis of Facial Cues from Videos as a Potential Method for Differentiating Stress and Boredom of Players in Games by Fernando Bevilacqua, Henrik Engström, Per Backlund

“…Facial analysis is a promising approach to detect emotions of players unobtrusively; however approaches are commonly evaluated in contexts not related to games or facial cues are derived from models not designed for analysis of emotions during interactions with games. …”
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Analysis of the left ventricular involvement in patients with a biventricular phenotype of arrhythmogenic ardiomyopathy: a case series description by S. M. Komissarova, A. A. Efimova, N. N. Chakova, T. V. Dolmatovich, E. S. Rebeko, L. I. Plashchinskaya, V. Ch. Barsukevich, A. A. Gusina

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Quantifying Post-Purchase Service Satisfaction: A Topic–Emotion Fusion Approach with Smartphone Data by Peijun Guo, Huan Li, Xinyue Mo

“…In Phase 1, an ERNIE-LSTM-based emotion model (ELEM) is used to detect fake reviews from 4016 smartphone evaluations collected from JD.com (accuracy: 84.77%, recall: 84.86%, F1 score: 84.81%). …”
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A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing by Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar

“…DD (data-driven) methods find complicated semantic representations of texts without feature engineering. Data-driven sentiment analysis is three-tiered: document-level sentiment analysis determines polarity and sentiment, aspect-based sentiment analysis assesses document segments for emotion and polarity, and data-driven (DD) sentiment analysis recognizes word polarity and writes positive and negative neutral sentiments. …”
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Dermatoscopic Patterns in Mycosis Fungoides: Observations from a Case-Series Retrospective Analysis and a Review of the Literature by Corrado Zengarini, Federica Tugnoli, Alessio Natale, Martina Mussi, Giacomo Clarizio, Claudio Agostinelli, Elena Sabattini, Alberto Corrà, Bianca Maria Piraccini, Alessandro Pileri

“…A cluster analysis identified two patient groups with differing vascular and scaling features but no clear association with disease stage. …”
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The Role of VADER and SentiWordNet Labeling in Naïve Bayes Accuracy for Sentiment Analysis of Rice Price Increases by Ihtiar Nur Furqon, Dewi Soyusiawaty

“…In conclusion, VADER is suitable for balanced sentiment detection, while SentiWordNet is more effective for identifying positive sentiments.…”
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Automated non-laying hen identification via deep learning: A phenotypic characteristics attribution analysis framework by Wenxiang Qin, Xiao Yang, Liyang Yu, Yujia Chen, Junjie Wang, Yan Zhou, Weichao Zheng

“…Heatmap visualization analysis revealed that the head features contributed most significantly to identification, followed sequentially by the feet, tail, wings, abdomen, and back regions, suggesting that feather distribution patterns and phenotypic characteristics in these areas may serve as critical biomarkers for non-laying hen classification.…”
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