Lifestyle factors and determination of optimal cut-off values for forward head posture in young adults with neck pain: a cross-sectional analysis by Jaeho Lee, Kyoungsik Jeong, Sujeong Mun, Siwoo Lee, Younghwa Baek

“…The cutoff values for risk prediction were analyzed using receiver operating characteristic curves. …”
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Electrically Controlled Rotor Blade Vortex Interaction Airloads and Noise Analysis Using Viscous Vortex Particle Method by Taoyong Su, Yang Lu, Jinchao Ma, Shujun Guan

“…Based on the present prediction model, the aerodynamic and acoustic characteristics of a sample ECR in BVI condition are analyzed. …”
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Plasmodium falciparum surf4.1 in clinical isolates: From genetic variation and variant diversity to in silico design immunopeptides for vaccine development. by Nitchakarn Noranate, Jariya Sripanomphong, Fingani Annie Mphande-Nyasulu, Suwanna Chaorattanakawee

“…In addition, secondary structure prediction and immunoinformatic were employed to identify immunogenic epitopes in humoral response as proposed vaccine candidates. …”
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Influencing Factors of Resorption in Lumbar Disc Herniation by SHEN Xueqiang, LIU Jintao, YU Pengfei, DAI feng, ZHU Yu, JIANG Hong

“…Patients with course of disease ≤1 year, Komori type C, Iwabuchi type 1 and type 5, relatively higher RSI, and without Modic changes of adjacent vertebral bodies are prone to resorption of LDH, which has certain guiding significance for clinical prediction of resorption.…”
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Soil Reflectance Composite for Digital Soil Mapping in a Mediterranean Cropland District by Monica Zanini, Uta Heiden, Leonardo Pace, Raffaele Casa, Simone Priori

“…In addition, a supervised classification approach was applied to predict soil typological units (STUs) using the mapped soil attributes. …”
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Tests of a New Solar Flare Model Against D and E Region Ionosphere Data by David E. Siskind, McArthur Jones Jr., Jeffrey W. Reep, Doug P. Drob, Srimoyee Samaddar, Scott M. Bailey, Shun‐Rong Zhang

“…In both cases, we compared predicted flare response using two different input solar flare spectra. …”
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Relations phénotypiques et génétiques entre les caractères de production laitière et le poids du veau à la naissance chez la vache Azawak du Niger by Ibrahim Adamou Karimou

“…Objectif : Afin de développer un modèle de prédiction des valeurs d’élevage de candidats reproducteurs améliorateurs en lait et en viande, cette étude avait pour objectif d’analyser l’influence génétique d’une sélection pour les performances pondérales, sur la productivité laitière de cette race. …”
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Observation and Simulation of Wind Speed and Wind Power Density over Bac Lieu Region by Hiep Van Nguyen, Pham Xuan Thanh, Nguyen Duc Nam, Nguyen Xuan Anh, Pham Le Khuong, Hoang Hai Son, Nguyen Tien Manh, Pham Chi Cong

“…The model initial and boundary conditions are from the National Centers for Environmental Prediction (NCEP) Final Analyses (FNL). Observation data for two years at 20 m height at Bac Lieu station were used for model bias correction and investigating diurnal and annual variation of wind speeds. …”
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Balancing Privacy and Utility in Split Learning: An Adversarial Channel Pruning-Based Approach by Afnan Alhindi, Saad Al-Ahmadi, Mohamed Maher Ben Ismail

“…Specifically, adversarial learning aims to minimize the risk of sensitive data leakage while maximizing the performance of the target prediction task. Furthermore, the channel pruning performed jointly with the adversarial training allows the model to dynamically adjust and reactivate the pruned channels. …”
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Correlation between acute mountain sickness and body constitution of Tibetan medicine and other factors: A case–control study by Hui Luo, Qian Wang, Dan Re

“…Objective: This study aimed to determine the correlation between the incidence of acute mountain sickness (AMS) and the body constitution of Tibetan medicine and other relevant factors to provide a reference for the prediction and prevention of AMS. Methods: A case–control study was conducted to recruit participants who experienced or did not experience AMS after entering a plateau. …”
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Nighttime Magnetic Perturbation Events Observed in Arctic Canada: 3. Occurrence and Amplitude as Functions of Magnetic Latitude, Local Time, and Magnetic Disturbance Indices by Mark J. Engebretson, Viacheslav A. Pilipenko, Erik S. Steinmetz, Mark B. Moldwin, Martin G. Connors, David H. Boteler, Howard J. Singer, Hermann Opgenoorth, Audrey Schillings, Shin Ohtani, Jesper Gjerloev, Christopher T. Russell

“…These observations suggest that substorms are neither necessary nor sufficient to cause MPEs, and hence predictions of GICs cannot focus solely on substorms.…”
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An integrated strength-carbon emissions-total cost model for silica fume concrete by Li-Yi Meng, Yi-Sheng Wang, Feng Sun, Runsheng Lin, Xiao-Yong Wang

“…Through linear regression, a compressive strength prediction formula for SF concrete with varying water-cementitious material mass ratios (0.79–0.45), different SF contents (0–20 %), and curing ages (1–365 days) was developed. …”
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A Combined Numerical and Experimental Study of Heat Transfer in a Roughened Square Channel with 45∘ Ribs by M. E. Taslim, H. Liu

“…Test results showed that (a) 45∘ angled ribs with high blockage ratios (>0.2) at elevated Reynolds numbers do not exhibit a good thermal performance, that is, beyond this blockage ratio, the heat transfer coefficient decreases with the rib blockage and (b) CFD could be considered as a viable tool for the prediction of heat transfer coefficients in a rib-roughened test section.…”
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Using agent-based modelling to simulate the emission reduction potential of CCUS technologies in China under alternative policy packages by Changgen Dong, Zhuoluo Sun, Jingjing Jiang, Yang Yang

“…Carbon capture, utilisation, and storage (CCUS) technologies are essential for achieving the 1.5 °C target. Predicting the emission reduction potential of CCUS technology is particularly important for countries to pursue carbon neutrality. …”
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Hybrid Fishnet Metamaterial Based on Liquid Crystal and P-I-N Diodes for Reconfigurable Transmitarrays at <inline-formula><tex-math notation="LaTeX">$10 \,\mathrm{GHz}$</tex-math><... by Adrian Diepolder, Lukas Schmidt, Susanne Brandl, Philipp Hinz, Christian Waldschmidt, Christian Damm

“…A lumped-element model for prediction of the unit cell behavior is proposed, allowing to reduce the number of full-wave simulations during performance analysis. …”
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Evaluating empirical and machine learning approaches for reference evapotranspiration estimation using limited climatic variables in Nepal by Erica Shrestha, Suyog Poudyal, Anup Ghimire, Shrena Maharjan, Manoj Lamichhane, Sushant Mehan

“…Notably, all ML models outperformed empirical models, with clustering of weather stations further reducing prediction error in ET0 estimation by 10 to 18 %. These findings demonstrate the potential of ML models for accurate ET0 estimation with limited data, supporting agricultural water management and enhancing resilience in water-stressed areas.…”
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Classifying early apple scab infections in multispectral imagery using convolutional neural networks by Alexander J. Bleasdale, J. Duncan Whyatt

“…The models achieved scab-prediction accuracies of 97.13 % and 97.57 % for MobileNetV2 and EfficientNetV2L, respectively, on the secondary data but only achieved accuracies of 74.12 % and 78.91 % when applied to the multispectral dataset in isolation. …”
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On the Ionosphere–Atmosphere–Lithosphere Coupling During the 9 November 2022 Italian Earthquake by Mirko Piersanti, Giulia D’Angelo, Dario Recchiuti, Fabio Lepreti, Paola Cusano, Enza De Lauro, Vincenzo Carbone, Pietro Ubertini, Mariarosaria Falanga

“…This research contributes to a deeper understanding of Lithosphere–Atmosphere–Ionosphere–Magnetosphere coupling mechanisms and the potential for developing reliable earthquake prediction tools.…”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

“…Abstract In prostate cancer (PCa), risk calculators have been proposed, relying on clinical parameters and magnetic resonance imaging (MRI) enable early prediction of clinically significant cancer (CsPCa). …”
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A Novel Traffic Analysis Zone Division Methodology Based on Individual Travel Data by Kai Du, Jingni Song, Dan Chen, Ming Li, Yadi Zhu

“…Urban rail transit passenger flow forecasting often relies on the traditional “four-step” method, where the division of traffic analysis zones (TAZs) is critical to ensuring prediction accuracy. As the fundamental units for describing trip origins and destinations, TAZs also encompass socioeconomic attributes such as land use, population, and employment. …”
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