Integrative analysis of taurine metabolism-related genes prognostic signature with immunotherapy and identification of ABCB1 and GORASP1 as key genes in nasopharyngeal carcinoma by Zhang Feng, Yuhang Yang, Wenqi Luo, Jinqing Li, Zhenlian Xie, Long Zuo, Meijiao Duan, Dongzhi Zuo, Ruwei MO, Xuejing Tang, Shijiang Yi, Xiaosong He, Fangxian Liu, Ning Ma, Feng He

“…Survival, medication sensitivity, and immunological microenvironment evaluations were performed to assess the prognostic utility of the model. …”
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Microsaccades distinguish looking from seeing by Eva Krueger, Andrea Schneider, Ben Sawyer, Alain Chavaillaz, Andreas Sonderegger, Rudolf Groner, Peter Hancock

“…To evaluate this proposition, we used a high-speed eye tracker to record participants in looking for differences between two images or, doing mental arithmetic, or both tasks in combination. …”
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An effective method for anomaly detection in industrial Internet of Things using XGBoost and LSTM by Zhen Chen, ZhenWan Li, Jia Huang, ShengZheng Liu, HaiXia Long

“…Different thresholds yield different numbers of features. …”
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Comprehensive Comparison of Machine Learning and Kalman Filter Battery State of Charge Estimators by Romulo Vieira, Phil Kollmeyer, Lea Pitault, Ali Emadi

“…The dataset covers a wide range of operational conditions, including three vehicle payloads (80 kg to 1000 kg), six temperatures (−20°C to 40°C), and different drive cycles. …”
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Prediction of induction chemotherapy efficacy in patients with locally advanced nasopharyngeal carcinoma using habitat subregions derived from multi-modal MRI radiomics by Mulan Pan, Lu Lu, Xingyu Mu, Xingyu Mu, Guanqiao Jin

“…These models were evaluated using various predictive performance metrics, including area under the curve (AUC), sensitivity, and specificity. …”
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Development of a prediction model integrating PD-1 and ICOS for early differential diagnosis between autoimmune and viral encephalitis by Kaiyue Xu, Jinjing Jia, Yinghui Duan, Shuying Chen, Xinyi Xiao, Feng Zhu, Xin Wang, Yanzheng Gu, Jingluan Tian, Qun Xue, Qun Xue

“…Finally, a nomogram and a receiver operating characteristic (ROC) curve were developed to visualize the model and evaluate its predictive accuracy.ResultsUpon analyzing the collected data, a model for the early differential diagnosis between AE and VE was eventually established. …”
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Serum miRNA-186-3P and miRNA-382-3P constitute a novel Diagnostic miRNA signature for palindromic rheumatism by Fangfang Yuan, Zefu Weng, Qiong Yang, Jing Luo, Lina Ying, Haiyan Huang, Xin Zhang, Yahui Chen, Jixia Lin, Junhong He

“…The efficiency of the miRNA signature was evaluated using receiver operator characteristic (ROC) curves, an analytical method that assesses diagnostic accuracy.ResultsA total of 130 miRNAs were differentially expressed in the PR exploration cohort, including 35 upregulated and 95 downregulated compared to levels in the RA and healthy cohorts. miRNA-186-3p showed the largest upregulated difference and miRNA-382-3p the largest downregulated difference; these were selected to construct the miRNA signature. …”
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Construction and Validation of a Hospital Mortality Risk Model for Advanced Elderly Patients with Heart Failure Based on Machine Learning by Shang S, Wei M, Lv H, Liang X, Lu Y, Tang B

“…Subsequently, seven different machine learning models were constructed and their prediction performances were evaluated. …”
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Predictors of procedural errors in class II resin composite restorations using bitewing radiographs by Abdulrahman A. Balhaddad, Nawaf AlGhamdi, Mohammed Alqahtani, Osama A. Alsulaiman, Ali Alshammari, Malik J. Farraj, Ahmed A. Alsulaiman

“…Atypical radiographic signs of failure were screened, and different patient-, operator-, and clinical-related factors were recorded. …”
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Accurate prediction of mediolateral episiotomy risk during labor: development and verification of an artificial intelligence model by Tingting Hu, Liheng Zhao, Xueling Zhao, Lin He, Xiaoli Zhong, Zhe Yin, Junjie Chen, Yanting Han, Ka Li

“…The models’ performance was evaluated using accuracy, precision, recall, F1 value, and area under the receiver operating characteristic curve (AUC) measures. …”
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DLProv: a suite of provenance services for deep learning workflow analyses by Débora Pina, Liliane Kunstmann, Adriane Chapman, Daniel de Oliveira, Marta Mattoso

“…DLProv supports structured query language (SQL)-based querying during training and generates provenance graphs that capture data preparation steps, model training, and evaluation. These provenance graphs comply with the PROV de facto standard, ensuring interoperability across different environments. …”
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Non-Invasive Parameter Identification of DC Arc Models for MV Circuit Breaker Diagnostics by Gabriele D’Antona, Camilo Trujillo-Arboleda, Massimiliano Amato, Marco Riva

“…This paper introduces lumped-parameter multi-physics models to describe different phases of arc behavior and outlines a methodology for model–data assimilation. …”
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Developing an Ontology to Enhance Semantic Interoperability in IoT Environment by Maria Cornejo-Lupa, Ana Aguilera, Irvin Dongo

“…This study proposes the development of an enhanced ontology that integrates different ontologies in the IoT domain, including key aspects such as interoperability, security, privacy, energy efficiency, and ethics. …”
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Failure analysis and reliability research of copper-water heat pipe in metro vehicle application by LIANG Jinfa, LIU Xiong, WU Zhiyong, FAN Wei

“…This study focused on heat pipe radiators used in several rail transit lines that have been operated for at least 10 years in different regions. …”
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Assessment of Lower Sakarya River Water Quality in Terms of Irrigation Water by Çiğdem Özer, Rabia Köklü

“…For this purpose, Lower Sakarya River quality of irrigation water for agricultural purposes has been determined. Different physical-chemical properties of water quality data belonging to 3 stations operated by State Hydraulic Works (DSI) on Sakarya River were evaluated in terms of national and international water quality standards. …”
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End-of-Life usefulness of degradation by products from transient electronics by Sofia Sandhu, Ravinder Dahiya

“…Abstract Transient electronics, comprising of degradable devices that disintegrate and disappear after their operational life, has received considerable interest in recent years because of the concerns related to the rapidly growing electronic waste (e-waste). …”
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Influence of scanners number on quality of nutrients providing of plants at differentiated fertilization by I. G. Ponomarenko, I. A. Novozhenov

“…The factors influencing inaccurate distribution are revealed. Numerical evaluation of irregularity for different conditions of mineral fertilization is executed. …”
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CROSS - CULTURAL VALUES AND TRADITIONS ON CREMATION IN ZIMBABWE: A REVIEW OF BELIEFS AND PRACTICES by Reginald Dennis Gwisai, Chipo Masona

“…Objectives: The study evaluated the differences in beliefs and the transition dynamics of traditional burial practices versus the non – availability of burial space. …”
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The Naples prognostic score as a new predictive index of severe abdominal aortic calcification: a population-based study by Qiang Tan, Jian Zhang, Yanrong Peng, Rui Yang, Yanbin Zhu, Xi Yong, Hongshun Yin, Jianghua Zheng

“…The variables were filtered utilizing the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Weighted logistic regression models were employed to examine the association of NPS with SAAC. …”
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The Unseen Impacts of Human Footprints: How Land Use Reshapes Actinobacterial Communities in the Brazilian Cerrado by Fernando Gouveia Cavalcante, Leonardo Lima Bandeira, Christiana Mara de Assis Faria, Ariel de Figueiredo Nogueira Mesquita, João Moreira de Matos Neto, Claudia Miranda Martins, Suzana Claudia Silveira Martins

“…The actinobacteria phylum plays crucial roles from an ecological point of view and is the focus of the present study, which tracked changes in the actinobacterial communities from Brazilian Cerrado soil in an environmental protection unit, based on different land uses. The evaluation of 16S rRNA and further taxonomical clustering of operational taxonomic units (OTUs) indicated Actinomycetales as the main order within all land uses, ranging from 45.4–70.1%, with Micrococales and Rubrobacterales being found only in agricultural soils. …”
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