Comparative evaluation of three anti-dsDNA antibody detection methods in systemic lupus erythematosus: insights from a large monocentric cohort by Ruijing Lu, Ruijing Lu, Rui Yu, Rui Yu, Rong Huang, Rong Huang, Chiyuan Xue, Ning Song, Jiuliang Zhao, Xiaofeng Zeng, Chaojun Hu

“…Cohen’s kappa coefficient was used to evaluate inter-method agreement. The correlations between anti-dsDNA concentration and SLEDAI-2k scores/renal involvement were assessed.ResultsAmong individual assays, IIF demonstrated the highest specificity (98.31%) and PPV (96.10%) but lower sensitivity (38.92%) compared to CLIA (41.57%) and DLCM (43.65%) (p < 0.05). …”
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Comparative Evaluation of Decision Tree (M5) and Least Square Support Vector Machine (LS-SVM) Models for Groundwater Level Prediction in the Mashhad Plain by Vajihe Ramezani saani, Mahdi Zarei, Seyed Morteza Seyedian

“…The aim of the present study is to estimate the groundwater table level of the Mashhad plain aquifer using the decision tree model (M5) and to compare it with the least squares support vector machine model (LS-SVM) under 10 different scenarios.Method: For this purpose, monthly climatic data (precipitation, evaporation, and temperature) and groundwater level information from 60 piezometric wells over a 10-year statistical period were utilized, and the employed models were evaluated using statistics such as the coefficient of determination (R2), RMSE, and MBE.Results: The results of the LS-SVM model indicated that the highest simulation accuracy belonged to scenario 4, followed by scenario 9, while the other scenarios exhibited very low accuracy in simulating the water level. …”
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Evaluation of High-Performance Pervious Concrete Mixed with Nano-Silica and Carbon Fiber by Mingxuan Sun, Meng Sun, Yunlong Zhang, Lijun Ma

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All-breed single-step genomic best linear unbiased predictor evaluations for fertility traits in US dairy cattle by J.M. Tabet, D. Lourenco, F. Bussiman, M. Bermann, I. Misztal, P.M. VanRaden, Z.G. Vitezica, A. Legarra

“…ABSTRACT: The US dairy cattle genetic evaluation is currently a multistep process, including multibreed traditional BLUP estimations followed by single-breed SNP effects estimation. …”
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A novel fatigue life prediction method of carbon black filled rubber based on hysteresis loss of steady state under various load ratios by Boyuan Yin, Yu Fang, Xinyue Jiao, Hongxin Sun

“…Therefore, the proposed method provides a new choice for evaluating the fatigue life in a quick and cheap way.…”
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A Prediction of the Shooting Trajectory for a Tuna Purse Seine Using the Double Deep Q-Network (DDQN) Algorithm by Daeyeon Cho, Jihoon Lee

“…This study proposes a method for predicting shooting trajectories using the Double Deep Q-Network (DDQN) algorithm. …”
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Exploration of biophoton characteristics of fresh Isatis indigotica fort leaves under salt and drought stresses and the feasibility analysis for the quality prediction of Isatidis... by Zhiying Wang, Zhiying Wang, Baorui Cao, Baorui Cao, Yueyue Ma, Weifan Xu, Jialei Fu, Zhongwen Zhang, Jinxin Du, Tingting Deng, Jingxiang Pang, Meina Yang, Meina Yang, Jinxiang Han, Jinxiang Han

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Optimizing space heating efficiency in sustainable building design a multi criteria decision making approach with model predictive control by Zheng Qi, Nan Zhou, Xianwei Feng, Sama Abdolhosseinzadeh

“…Pareto set analysis evaluates optimization outcomes for selected winter days and electricity price scenarios ($0.328/kWh vs. $0.493/kWh), with results demonstrating up to 17% daily heating cost savings compared to conventional methods while maintaining comparable thermal comfort levels. …”
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A comparative analysis of the different HIV testing techniques used in Zambia: data from a clinical performance study by Loveness Mukuka, Andros Theo, Precious Simushi, Mowa Zambwe, Peter J. Chipimo

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METHODS OF EVALUATION OF THE FUNCTIONAL STATUS OF THE LIVER IN THE PLANNING OF ANATOMICAL RESECTIONS ABOUT PRIMARY AND METASTATIC TUMORS: CURRENT STATE OF THE PROBLEM, THEIR OWN EX... by D. V. Sidorov, N. A. Rubtsova, A. V. Leontyev, M. V. Lozhkin, L. O. Petrov, T. N. Lazutina, I. V. Pylova, P. A. Korolev, A. G. Isaeva

“…Background 99mTc-technephyt hepatobiliary scintigraphy (HBS) and 13C-methacetin breath test were used as a quantitative methods to evaluate liver function. The aim of this study was to compare future remnant liver function assessed by 99mTc-technephyt dynamic hepatobiliary scintigraphy with results of methacetin breath test in the prediction of liver failure after major liver resection. …”
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Protocol: A mixed-methods study to evaluate implementation and outcomes of U.S. state telemental health policy expansion during the COVID-19 pandemic. by Lucinda B Leung, Jasmeen J Santos, José J Escarce, Susan L Ettner, Claudia Der-Martirosian, Pushpa Raja, Alexander D McCourt, John Fortney, Emma E McGinty

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Research on productivity prediction method of infilling well based on improved LSTM neural network: A case study of the middle-deep shale gas in South Sichuan by GUAN Wenjie, PENG Xiaolong, ZHU Suyang, YANG Chen, PENG Zhen, MA Xiaoran

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Performance Analysis and Comparison Between Predictive Current and Predictive Torque Control Applied to a DFIG-DC System by Lucas F. M. de Lucena, Victor F. M. B. Melo, Nady Rocha, Ruben da C. Ferreira, Marco Rivera

“…Therefore, this study aims to analyze and compare the performances of predictive current control (PCC) and predictive flux and torque control (PTC) applied to a doubly-fed induction generator which has its stator windings connected to a DC microgrid by means of a diode bridge. …”
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Comparative analysis and enhancing rainfall prediction models for monthly rainfall prediction in the Eastern Thailand by Preeyanuch Chuasuk, Tachanat Bhatrasataponkul, Aniruj Akkarapongtrakul

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Continuous prediction of knee joint angle in lower limbs based on sEMG: a method combining an improved ZOA optimizer and attention-enhanced GRU by Jian Lv, Binhao Huang, Ligang Qiang

“…These results confirm the effectiveness of the proposed method in achieving accurate, stable, and continuous sEMG-driven knee joint angle prediction, offering strong potential for intelligent control in wearable exoskeleton systems.…”
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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…To address the above issue, this paper proposes a novel SOH estimation method for lithium-ion batteries based on the PSO–GWO–LSSVM prediction model with multi-dimensional health feature extraction. …”
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Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model by Mesfin Seid Ibrahim, Jiajie Fan, Winco K.C. Yung, Zeyu Wu, Bo Sun

“…Currently, the standard to predict the lifetime of LEDs is based on a deterministic nonlinear least squares method which has low prediction accuracy. …”
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CO23 | Markers of inflammation and hypofibrinolysis are associated with cognitive dysfunction and motor performances in atrial fibrillation patients on oral anticoagulant therapy:...

“…The clinical relevance of these results is due to the fact that we have no efficient methods to predict a deterioration in the cognitive performance and, consequently, the possible onset of dementia in AF patients undergoing oral anticoagulant therapy.     …”
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Next-Generation Sequencing–Based Testing Among Patients With Advanced or Metastatic Nonsquamous Non–Small Cell Lung Cancer in the United States: Predictive Modeling Using Machine L... by Alan James Michael Brnabic, Ilya Lipkovich, Zbigniew Kadziola, Dan He, Peter M Krein, Lisa M Hess

“…ObjectiveThis study was designed to use machine learning methods to determine demographic and clinical characteristics of patients with advanced or metastatic non–small cell lung cancer (NSCLC) that may predict likelihood of receiving NGS-based testing (ever vs never NGS-tested) as well as likelihood of timing of testing (early vs late NGS-tested). …”
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CO22 | Assessment of coagulation profiles in septic patients using viscoelastic coagulation monitoring and rotational thromboelastometry in an internal medicine setting

“…Standard coagulation tests provide limited information, prompting the use of complementary tools for dynamic assessment. Viscoelastic methods such as rotational thromboelastometry (ROTEM) and the novel Viscoelastic Coagulation Monitoring (VCM) allow for rapid, bedside evaluation of global hemostasis. …”
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