Implications of high-dose vitamin D3 with and without vitamin C on bone mineralization and blood biochemical factors in broiler breeder hens and their offspring by Ruhollah Kianfar, Reza Kanani, Hossein Janmohammadi, Majid Olyaee, Maghsoud Besharati, Maximilian Lackner

“…The goal of this research was to evaluate the effects of high doses of vitamin D3, with and without added vitamin C, on bone mineralization and key blood parameters in aging broiler breeder hens and their offspring. …”
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Cross-diffusion effects of viscous heating hydromagnetic Casson fluid flow in permeable vertical media with radiation and heat loss by B. Prabhakar Reddy, MD. Shamshuddin, S.O. Salawu, M. Paul Matao

“…The skin friction, temperature, and mass gradients are evaluated graphically at the plate surface. As noticed, the temperature and mass buoyancy forces raised the stream rate field, but the Casson parameters have shown the opposite influence. …”
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Heart Failure Prediction Based on Bootstrap Sampling and Weighted Fusion LightGBM Model by Yuanni Wang, Hong Cao

“…We repeatedly use multiple parameters of LightGBM to perform bootstrap sampling on the original training set. …”
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A Novel Lightweight Deep Learning Approach for Drivers’ Facial Expression Detection by Jia Uddin

“…Our DAC block integrates Hybrid Channel Attention (HCA) and Coordinate Space Attention (CSA) to enhance feature extraction efficiency while maintaining minimal parameter overhead. To evaluate the effectiveness of our architecture, we compare it against two baselines: (a) Vanilla SqueezeNet and (b) AlexNet. …”
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A Combined CFD, Theoretical, and Experimental Approach for Improved Hydrodynamic Performance of a Clam Dredge System by Rui You, Nathan H. Kennedy

“…Firstly, the paper introduces an analytical tool that facilitates decision making by evaluating pump parameters, and to determine the operating point for various hose and nozzle parameters. …”
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Prediction of compressive strength of fly ash-based geopolymers concrete based on machine learning by Hesong Hu, Mingye Jiang, Mengxiong Tang, Huqing Liang, Hao Cui, Chunlin Liu, Chunjie Ji, Yaozeng Wang, Simin Jian, Chaohai Wei, Siqi Song

“…The performance of the four machine learning models is systematically evaluated, and a comprehensive analysis is conducted to elucidate the influence of 12 different input variables on the compressive strength of fly ash-based geopolymer concrete (FA-GPC). …”
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Effects of forage feeding to calves on performance, rumen fermentation, and nutrient digestibility: A meta-analysis by Jianxin Xiao, Jia Tian, Yingqi Peng, Rui Hu, Quanhui Peng, Lizhi Wang, Bai Xue, Zhisheng Wang

“…The weighted mean difference was used to evaluate the effect size, and the statistical heterogeneity of the effect size was estimated using Cochrane's Q test. …”
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Analysis of Higher Dimensional Converter Using Graphical Approach by J. Divya Navamani, K. Boopathi, M. Jagabar Sathik, A. Lavanya, Kitmo, Pradeep Vishnuram

“…Lastly, a 50 W prototype is used for evaluating the converter’s ability at a steady state.…”
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Hydraulic Properties Within the Complete Moisture Range of Hydric Soil on the Tibetan Plateau by X. Wang, Z. L. Wang, W. Yang, R. Liu

“…Consequently, in this study, we evaluate the effectiveness of different unsaturated hydraulic schemes in equilibrium and examine the parameter uncertainty of 14 undisturbed samples collected from four soligenous wetlands. …”
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Growth Performance, Immuno-Oxidant Status, Intestinal Health, Gene Expression, and Histomorphology of Growing Quails Fed Diets Supplemented with Essential Oils and Probiotics by Rania El Sayed Mahmoud, Ahmed Ateya, Hossam Gadalla, Hanan M. Alharbi, Khairiah M. Alwutayd, Eman M. Embaby

“…Importantly, EOs or probiotics enhanced immune-antioxidant status in growing quails, particularly those who were fed both EOs and probiotics, showing significantly increased levels of the serum immune parameters IgY and IgM as well as boosting T-AOC, SOD, and GPx levels when MDA content was lowered compared to S₀ quails (<i>p</i> < 0.05). …”
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Technical note: Reconstructing missing surface aerosol elemental carbon data in long-term series with ensemble learning by Q. Meng, Y. Zhang, S. Zhong, J. Fang, L. Tang, Y. Rao, M. Zhou, J. Qiu, X. Xu, J.-E. Petit, O. Favez, X. Ge

“…The model used readily accessible ground observation air pollutant data as proxies for EC-related tracers, along with meteorological parameters, to enhance prediction accuracy. It integrated outputs from Gradient Boosting Regression Trees, eXtreme Gradient Boosting, and random forest models, combining them through ridge regression to produce robust predictions. …”
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Egg freshness during storage: the effect of laying hen age and shelf life prediction using a novel hybrid modeling method by Yifeng Lu, Jing Li, Zihao He, Linyun Chen, Huixin Tian, Chen Xu, Xinglian Xu, Minyi Han

“…A novel hybrid model combining BP-ANN, cuckoo search and adaptive boosting (CS-BP-AdaBoost) was proposed for predicting the remaining egg shelf life, with the input being Haugh unit, yolk index, air cell depth, albumen pH, hen age, and breed. …”
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Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia. by Bumi Herman, Wandee Sirichokchatchawan, Sathirakorn Pongpanich, Chanin Nantasenamat

“…This study aims to develop and evaluate the CUHAS-ROBUST model performance, an artificial-intelligence-based RR-TB screening tool.…”
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Presenting a prediction model for HELLP syndrome through data mining by Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori

“…Among all the ML algorithms, multi-layer perceptron and deep learning performed the best, with an F1 score of more than 99%.In all three evaluation scenarios of 5fold and 10fold cross-validation, the K-nearest neighbors (KNN), random forest (RF), AdaBoost, XGBoost, and logistic regression (LR) had an F1 score of over 0.95, while this value was around 0.90 for support vector machine (SVM), and the lowest values were below 0.90 for decision tree (DT). …”
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Winter Oilseed Rape LAI Inversion via Multi-Source UAV Fusion: A Three-Dimensional Texture and Machine Learning Approach by Zijun Tang, Junsheng Lu, Ahmed Elsayed Abdelghany, Penghai Su, Ming Jin, Siqi Li, Tao Sun, Youzhen Xiang, Zhijun Li, Fucang Zhang

“…Leaf area index (LAI) serves as a critical indicator for evaluating crop growth and guiding field management practices. …”
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A Hierarchical Machine Learning-Based Strategy for Mapping Grassland in Manitoba’s Diverse Ecoregions by Mirmajid Mousavi, James Kobina Mensah Biney, Barbara Kishchuk, Ali Youssef, Marcos R. C. Cordeiro, Glenn Friesen, Douglas Cattani, Mustapha Namous, Nasem Badreldin

“…The combination was then utilized to conduct the first two steps of classification using support vector machine (SVM) and gradient tree boosting (GTB). In step 3, after filtering out non-grassland pixels, the performance of RF, SVM, and GTB classifiers was evaluated with combined S1 and S2 data to distinguish different grassland types. …”
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Construction of a risk prediction model for occupational noise-induced hearing loss using routine blood and biochemical indicators in Shenzhen, China: a predictive modelling study by Wenting Feng, Wen Zhang, Yan Guo, Naixing Zhang, Liang Zhou, Dafeng Lin, Linlin Chen, Caiping Li, Liuwei Shi, Xiangli Yang, Peimao Li, Dianpeng Wang

“…Routine blood and biochemical indicators were extracted from the case data, and a range of machine learning algorithms including extreme gradient boosting (XGBoost) were employed to construct predictive models. …”
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The Persistent Threat of Chronic Inflammation on the Mortality Among Cervical Cancer Survivors: A Mendelian Randomization and Machine Learning Analysis Using UK Biobank and Chinese... by Wang J, Chen Z, Guan M, Ma Z, Peng L, Chen J, Fiori PL, Carru C, Capobianco G, Coradduzza D, Zhou L

“…We aimed to comprehensively evaluate the genetic association between inflammation and cervical cancer, and construct an accurate prognosis model based on circulating inflammatory parameters and indexes with machine learning (ML) algorithms.Patients and Methods: We tested the genome-wide association of circulating inflammatory molecules (CIMs) (91 circulating inflammatory cytokines and 10 inflammatory cells) and summary data retrieved from the UK biobank (cases = 1659 and controls =381,902) with two-sample Mendelian randomization (MR) and colocalization analyses. …”
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Applicability Analysis of Log Calculation Method for Organic Matter Maturity of Changning Shale Gas Reservoir in Southern Sichuan Basin by QIU Dingguo, YAN Jianping, GUO Wei, LIAO Maojie, QIU Xiaoxue, HUANG Yi

“…The maturity of organic matter is an important parameter to evaluate the degree of thermal evolution of shale gas reservoirs. …”
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Mulberry leaf extract reduces damage by regulating the oxidative response, immune response and intestinal flora of largemouth bass (Micropterus salmoides) under chronic heat stress by Bing Fu, Donglai Zhou, Xiaotong Qiu, Xiaotong Qiu, Jieqiu Zheng, Jieqiu Zheng, Qiong Yang, Yang Xiao, Sentai Liao, Qingrong Li, Dongxu Xing

“…As an important plant extract, mulberry leaf extract (MLE) has been shown to have antioxidant and immune-boosting properties. This study evaluated the protective effect of dietary MLE on HS-induced liver injury and intestinal flora disturbance in Largemouth bass (Micropterus salmoides) based on oxidative damage parameters, immune parameters, and intestinal flora composition. …”
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