Blood profile of proteins and steroid hormones predicts weight change after weight loss with interactions of dietary protein level and glycemic index. by Ping Wang, Claus Holst, Malene R Andersen, Arne Astrup, Freek G Bouwman, Sanne van Otterdijk, Will K W H Wodzig, Marleen A van Baak, Thomas M Larsen, Susan A Jebb, Anthony Kafatos, Andreas F H Pfeiffer, J Alfredo Martinez, Teodora Handjieva-Darlenska, Marie Kunesova, Wim H M Saris, Edwin C M Mariman

“…A predictor panel of 15 variables enabled an optimal classification by Random Forests with an error rate of 24±1%. A logistic regression model with independent variables from 9 blood analytes had a prediction accuracy of 92%.…”
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Validity of pulse oximetry measures for heart rate and oxygen saturation during profound hypoxia in normobaric simulated extreme altitudes. by Harald Vikne, Jon Arild Kjeserud, Willy Westgaard, Ruben Baalsrud Westlie, Jan Ivar Kåsin, Jon Ingulf Medbø, Terje Gjøvaag, Nils Henrik Holmedahl

“…All pulse oximeters increased the bias or the variability for SpO2 significantly by reductions in oxygen saturation, while no systematic differences were found for HR.…”
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A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems by Yunchuan Liu, Hongcheng Yang, Ziqi Liu, Minghan Jia, Shang Li, Jiajie Li, Jingsuo He, Zhe Yang, Cunlin Zhang

“…In an experimental setting at a frequency of 230 GHz and a channel distance of 2.1 m, this method demonstrated a substantial reduction in the system’s bit error rate (BER), exhibiting particularly noteworthy performance enhancements in comparison to before equalization. …”
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Optimizing mRNA Vaccine Degradation Prediction via Penalized Dropout Approaches by Hwai Ing Soon, Azian Azamimi Abdullah, Hiromitsu Nishizaki, Latifah Munirah Kamarudin

“…The experimental outcomes highlight significant advancements in convergence rates and error reduction, particularly in complex models like 3-layer-wrapped Bidirectional Long Short-Term Memory (3wBiLSTM). …”
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Joint learning equation of state surfaces with uncertainty-aware physically regularized neural networks by Dongyang Kuang, Shiwei Li, Buxuan Wang, Chao Xiong, Shichang Zhang, Yanyao Zhang

“…This result shows a significant improvement over the case without regularization, with an increase of 0.2 in $$R^2$$ and a reduction of 0.26 eV/atom in energy prediction error, and is even slightly better than the fully supervised case for traditional regression method based on the Mie-Gr $$\ddot{\text {u}}$$ neisen equation. …”
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FASQuiC: Flexible Architecture for Scalable Spin Qubit Control by Mathieu Toubeix, Eric Guthmuller, Adrian Evans, Antoine Faurie, Tristan Meunier

“…The hardware for a single channel is very compact, 2% of ZCU111 logic resources for one DAC lane in the default configuration, leaving significant circuit resources for integrated feedback, calibration, and quantum error correction.…”
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Streptococcus agalactiae colonization and screening approach in high-risk pregnant women in southern Brazil by Jeane Zanini da Rocha, Jéssica Feltraco, Vanessa Radin, Carla Vitola Gonçalves, Pedro Eduardo Almeida da Silva, Andrea von Groll

“…Among the pregnant women treated, a fivefold reduction in the rate of prematurity and rate of neonatal infection was observed. …”
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Effect of concentric exercise-induced fatigue on proprioception, motor control and performance of the upper limb in handball players. by Stelios Hadjisavvas, Michalis A Efstathiou, Irene-Chrysovalanto Themistocleous, Katerina Daskalaki, Paraskevi Malliou, Christoforos D Giannaki, Jeremy Lewis, Manos Stefanakis

“…<h4>Results</h4>A significant increase in absolute angular error (AAE) was observed in all target angles in both external rotation (ER) and internal rotation (IR) directions (p < 0.01). …”
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Fundamental of constant electrode melting rate control for electroslag fusion welding by Haoran Xu, Baokuan Li, Xuechi Huang, Yu Wang, Yanchun Lou, Zhongqiu Liu

“…Slag regulation mechanism stabilizes slag pool depth (18.93 % reduction during stabilization) but reduces horizontal melting depth (10.42 % decrease at 42.4 kg/min). …”
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Multi-scale attention-enhanced deep learning approach for detecting seven trunk pests and diseases in Shanghai’s urban plane trees by Tianyang Song, Guohua Hu, Tianci Yu, Xing Meng, Yanting Zhang, Ruiqing Yang, Benyao Wang, Xia Li

“…Traditional manual inspections are labor-intensive and error-prone. This study introduces an enhanced YOLOv8-based detection framework to address multi-scale variability in pest and disease datasets. …”
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Dynamic Aggregation and Augmentation for Low-Resource Machine Translation Using Federated Fine-Tuning of Pretrained Transformer Models by Emmanuel Agyei, Xiaoling Zhang, Ama Bonuah Quaye, Victor Adeyi Odeh, Joseph Roger Arhin

“…A thorough evaluation of translation quality is provided by the use of SPBLEU, ROUGE (ROUGE-1, ROUGE-2, and ROUGE-L) measures, and Word Error Rate (WER) metrics. A pretrained mT5 model is used to set baseline performance, which acts as a standard for the optimized model. …”
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High-Level Synthesis: Productivity, Performance, and Software Constraints by Yun Liang, Kyle Rupnow, Yinan Li, Dongbo Min, Minh N. Do, Deming Chen

“…Such tools reduce design effort: high-level descriptions are more compact and less error prone. HLS tools promise hardware development abstracted from software designer knowledge of the implementation platform. …”
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Machine learning prediction and explainability analysis of high strength glass powder concrete using SHAP PDP and ICE by Muhammad Sarmad Mahmood, Tariq Ali, Inamullah Inam, Muhammad Zeeshan Qureshi, Syed Salman Ahmad Zaidi, Muwaffaq Alqurashi, Hawreen Ahmed, Muhammad Adnan, Abdul Hakim Hotak

“…Among these, XGB-GWO demonstrated the highest accuracy, with R² improving to 0.991 and MSE decreasing significantly from 83.95 to 14.42, resulting in an 82.82% error reduction. SHAP, PDP, and ICE analyses identified superplasticizer dosage, curing days, and coarse aggregate as the most influential parameters affecting compressive strength (CS). …”
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IonoBench: Evaluating Spatiotemporal Models for Ionospheric Forecasting Under Solar-Balanced and Storm-Aware Conditions by Mert Can Turkmen, Yee Hui Lee, Eng Leong Tan

“…SimVPv2 consistently provides the best performance, with superior evaluation metrics and stable error distributions. Compared to the C1PG baseline (the CODE 1-day forecast product), SimVPv2 achieves a notable RMSE reduction up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>32.1</mn><mo>%</mo></mrow></semantics></math></inline-formula> across various subsets under diverse solar conditions. …”
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Optimizing subsurface pipe layout by considering leaching efficiency of major salt ions to improve crop coverage using HYDRUS-2D by Yi Liu, Wang Tan, Wenzhi Zeng, Chang Ao, Donglin Jiang

“…Configurations targeting major ions, such as Mg²⁺ and HCO₃⁻, outperformed traditional designs based on total salt reduction, with coverage improvement exceeding 16 % in low-coverage areas. …”
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Opioid prescriptions following behavioral health training among primary care providers by Shutong Huo, Tim A. Bruckner, Abhery Das, Glen L. Xiong, David Marcovitz, Ariel B. Neikrug, Robert McCarron

“…This result remains robust after controlling for several covariates (coef: − 0.209 ; standard error = 0.052, p < 0.001) as well as after clustering patient observations by provider. …”
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Optimizing PID control for multi-model adaptive high-speed rail platform door systems with an improved metaheuristic approach by Dong Zhan, Ai-Qing Tian, Shao-Quan Ni

“…Experimental validation demonstrates that, compared to the Snow Goose Algorithm (SGA), the IBM-Dy-SGA achieves a 10%–30% reduction in average fitness values and a 20% improvement in convergence speed. …”
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TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations by Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska

“…The newly introduced TransformerPayne emulator outperformed all other tested models, achieving a mean absolute error (MAE) of approximately 0.15% when trained on the full grid. …”
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Chromolaena odorata and male fertility: evidence from the testes and epididymis of Wistar rats by Eguono Raphael Uwejigho, Felix O Enemali, Victor Oghenekparobo Emojevwe, Jesuyomike Marvellous Oluremi, Israel Olorunsola Adeyomoye

“…Results were described as the mean ± standard error of means (S.E.M.). One-way analysis of variance  (at a 95% confidence level) was used to compare the means of the control group and experimental groups using GraphPad Prism (version 10.2.0). …”
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Research of factors influencing the accuracy of determining of oil raw materials quality indicators based on the NMR pulse method by O. S. Agafonov, S. M. Prudnikov, T. A. Shakhrai, E. P. Victorova

“…The second factor affecting the error of the measurement results of the quality parameters of sunflower seeds is the difference in the temperature of the seeds being analyzed and the temperature in the laboratory where the used NMR analyzer is installed. …”
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