Orbital Parameters of 665 Double-lined Spectroscopic Binaries in the LAMOST Medium-resolution Survey by Sufen Guo, Mikhail Kovalev, Jiao Li, Guoliang Lü, Shi Jia, Zhenwei Li, Jiangdan Li, Jianping Xiong, Mingkuan Yang, Tongyu He, Xuefei Chen, Zhanwen Han

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A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…Calibration procedures reduced the maximum mean error of the ultrasonic wind sensors from 0.7 m/s to 0.2 m/s, achieving a 71% improvement in measurement accuracy. …”
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Combining a novel ensemble model and multiplex methylation SNaPshot assays for saliva age prediction and cross-platform data analysis by Benyang Xiao, Yuxiang Zhou, Zhirui Zhang, Xindi Wang, Jiali Xiang, Zhixin Lv, Miao Liao, Haibo Luo, Feng Song

“…Validated by an independent testing set consisting of 44 samples (13–66 years), the model achieved a mean absolute error (MAE) of 4.39 years, outperforming some advanced linear and nonlinear models. …”
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A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

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Drying kinetics and characteristics of Acori tatarinowii rhizoma under hot air thin-layer drying at different temperatures by Yingna Le, Kun Shi, Chengfu Wang, Jingying Guo, Yaohui Ye, Yuexing Ma, Ruiping Wang, Fangyan Cai, Shaolong Ma, Jinlian Zhang, Lingyun Zhong

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A Bayesian-Optimized Surrogate Model Integrating Deep Learning Algorithms for Correcting PurpleAir Sensor Measurements by Masrur Ahmed, Jing Kong, Ningbo Jiang, Hiep Nguyen Duc, Praveen Puppala, Merched Azzi, Matthew Riley, Xavier Barthelemy

“…BaySurcls reduced root mean square error (RMSE) by an average of 20% in collocated scenarios, with reductions of up to 25% in highvariation sites. …”
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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

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LSTM time series prediction of soil moisture content in kiwifruit root zone based on meteorological data fusion by Jingyuan He, Weifeng Li, Shijia Pan, Nikolaos Sygrimis, Zijie Niu, Dongyan Zhang, Dong Han, Petro A. Roussos

“…Accurate prediction of soil moisture content (SMC) is important for water resource management, irrigation optimization, and drought monitoring. Current research focuses on inverse monitoring of SMC, but management decisions based on inverse results often suffer from lags. …”
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River suspended-sand flux computation with uncertainty estimation using water samples and high-resolution ADCP measurements by J. Marggraf, G. Dramais, J. Le Coz, B. Calmel, B. Camenen, D. J. Topping, W. Santini, G. Pierrefeu, F. Lauters

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Screening Elite Genotypes of Durum Wheat Based on Univariate and Multivariate Stability Models under Unpredictable Environments by Sharyar Sasani, Armin Saed-Moucheshi

“…Methods: To verify the feasibility of introducing new durum wheat varieties with high yields and stable performance in different environmental conditions, 18 genotypes of durum wheat along with two control varieties (Hana and Parsi) were studied in four crop years at the research station of the Agricultural Research and Training Center and The natural resources of Kermanshah Province (Islamabad West Agricultural Research Station) based on a completely randomized block design in three replications and four consecutive years from 2013 to 2016. …”
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Habitat Characteristics and the Species Response of Astragalus curvirostris Boiss. to the Environmental Factors in Lorestan Rangelands by Reza Siahmansour, Nadia Kamali, Hamid Reza Mirdavoodi, Javad Motamedi

“…Applying the GAM with Poisson error distribution showed that the variables, height above sea level, percentage of organic matter and soil nitrogen, as well as the percentage of stone are effective on the yield of the species. …”
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Obesity Parameters as Predictor of Poor Outcomes in Hospitalized Patients with Confirmed Mild-to-Moderate COVID-19 by Nadya R. V. Barus, Dicky Levenus Tahapary, Farid Kurniawan, Robert Sinto, Syahidatul Wafa, Wismandari Wisnu, Arif Mansjoer, Calysta Nadya Wijaya, Immanuel Felix, Tri Juli Edi Tarigan, Dante Saksono Harbuwono, Pradana Soewondo

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Investigating Spatial Effects through Machine Learning and Leveraging Explainable AI for Child Malnutrition in Pakistan by Xiaoyi Zhang, Muhammad Usman, Ateeq ur Rehman Irshad, Mudassar Rashid, Amira Khattak

“…Secondly, Spatial Durbin Error Model (SDEM) was used to detect and capture the impact of spatial spillover on childhood stunting. …”
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Resilient Multimedia Embedding in DICOM Images: A Robustness Evaluation Under Multiple Attacks by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal, B. Ashwini

“…The primary objective is to evaluate the performance of these embedding techniques in terms of insertion time, extraction time, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and Mean Squared Error (MSE). To assess the robustness of the embedded data, a series of attacks are applied to the DICOM images, including zero attack, salt and pepper attack, Gaussian attack, and speckle noise attack. …”
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Bayesian adaptation in Poisson cognitive systems by Aleksander A. Solodov

“…In particular, to describe the stochastic properties of cognitive systems and the possibility of creating an optimal algorithm, the Bayesian approach recognized in a number of philosophical works is applied.The optimal estimate by the criterion of the minimum standard error is, as is known, a posteriori mathematical expectation of a random estimated value, which is applied in this work. …”
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In vivo confocal microscopy provides evidence of corneal nerve damage and basal tear film reduction in patients treated with oral isotretinoin by Alberto Barros, Javier Lozano-Sanroma, Juan Queiruga-Piñeiro, Luis Fernández-Vega-Cueto, Cristina Sánchez-Fernández, Jesús Merayo-Lloves, Ignacio Alcalde

“…The purpose of this research was to analyze changes in corneal innervation and its association with tear film integrity in patients treated with oral isotretinoin. …”
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Automatic smart brain tumor classification and prediction system using deep learning by Qurat Ul Ain Ishfaq, Rozi Bibi, Abid Ali, Faisal Jamil, Yousaf Saeed, Rana Othman Alnashwan, Samia Allaoua Chelloug, Mohammed Saleh Ali Muthanna

“…The model’s precision, sensitivity, accuracy, f1-score, error rate, specificity, Y-index, balanced accuracy, geometric mean, and ROC are considered as performance metrics. …”
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Beyond the homozygous paradigm: symptomatic partial biotinidase deficiency in a heterozygous child—first case report from Nepal by Jagdish Kunwar, Bijay Kunwar, Anup Ghimire, Aramva Bikram Adhikari, Binay Aryal, Sachchu Thapa, Bina Prajapati Manandhar

“…MRI, EEG was done thinking of the inborn error of metabolism. A whole exome sequencing identified a heterozygous pathogenic variant in the BTD gene (c.38_44delinsTCC, p.Cys13Phefs*36), and retrospective enzyme assay confirmed partial biotinidase deficiency (3.20 nmol/min/mL; ~25% of mean normal activity). …”
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Comparative Analysis of Satellite-Based Rainfall Products for Drought Assessment in a Data-Poor Region by Hansini Gayanthika, Dimuthu Lakshitha, Manthika Chathuranga, Gouri De Silva, Jeewanthi Sirisena

“…Our methodology involved checking detection accuracy using the False Alarm Ratio (FAR), Probability of Detection (POD), and Critical Success Index (CSI), and assessing accuracy through metrics such as Root Mean Square Error (RMSE), Pearson Correlation Coefficient (CC), Percentage Bias (PBias), and Nash–Sutcliffe Efficiency (NSE). …”
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Experimental determination and theoretical calculation for CO2 liquid-solid phase equilibrium in PLNG by Zihe LI, Jianlu ZHU, Qing MIAO, Feng YAN, Xin OUYANG, Chaofei NIE, Hui HAN, Yuxing LI

“…For instance, considering the solubility of CO2 in pure methane, the average relative percentage error between the results calculated using the optimized model and test data decreased significantly from 10.83% to 2.333 6%. …”
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