Sweet pepper yield modeling via deep learning and selection of superior genotypes using GBLUP and MGIDI by Hamid Hatami Maleki, Reza Darvishzadeh, Nasrin Azad

“…The convolutional neural network (CNN) models via outputs of both correlation coefficients and stepwise regression showed the high accuracy of CNN model through correlation coefficients (R2 = 0.879) in predicting fruit yield of sweet pepper. …”
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TEMPERATURE AND PRECIPITATION AS PREDICTORS OF SPECIES RICHNESS IN NORTHERN ANDEAN AMPHIBIANS FROM COLOMBIA by Ortiz-Yusty Carlos Eduardo, Páez Vivian, Zapata Fernando

“…We explored the</div><div>relationship between species richness and environment using two global regression</div><div>models (the Ordinary Least Squares “OLS” and Generalized Linear Squares</div><div>“GLS” models) and one local model (the Geographically Weighted Regression</div><div>“GWR” model). …”
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Association between dietary fiber intake and post-stroke depression among US women: insights from the NHANES 2005–2018 cross-sectional study by Xueshan Jian, Shuyang Jian, Zhiru Zhang, Yuxuan Ye, Xiaona Tang, Rucheng Huang, Rucheng Huang

“…Model calibration was confirmed by the Hosmer-Lemeshow test (p = 0.549), and the area under the receiver operating characteristic curve (AUC) was 0.813 (95% CI: 0.775–0.852), indicating good model fit and strong discriminative ability. …”
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Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling by Chuqiao Han, Binbin Lu, Jianghua Zheng, Danlin Yu, Shudan Zheng

“…In addition to evaluating the data quality, the use of OSM data quality index factors in economic modeling at different spatial scales in China was explored by using a geographic information system (GIS) analysis method and a geographically and temporally weighted regression (GTWR) model. …”
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Macroeconomic Determinants of Accumulated M&A Transaction Values within the U.S. Market by I.  V. Tregub, A.  F.  Butyrskiy

“…Further, several statistical tests were conducted to ensure the authenticity of results obtained and potential for utilization of the model for the purpose of estimation forward values. …”
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Raman-based PAT for multi-attribute monitoring during VLP recovery by dual-stage CFF: attribute-specific spectral preprocessing for model transfer by Annabelle Dietrich, Luca Heim, Jürgen Hubbuch 

“…To enhance the detector’s sensitivity towards proteins, a higher exposure time was applied during CFF processing than during model building from pure-component stock solutions. …”
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Socioeconomic Factors Influencing Crop Diversification Among Smallholder Farmers in Bergville, South Africa by Busisiwe Vilakazi, Alfred O. Odindo, Mutondwa M. Phophi, Paramu L. Mafongoya

“…A structured questionnaire was used to collect data, analyzed using descriptive statistics. The multiple linear regression and multivariate probit regression models were applied to assess the socioeconomic factors influencing diversification. …”
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Impact of obesity severity on postoperative outcomes and recovery progress in patients undergoing unilateral biportal endoscopy for degenerative lumbar disc herniation by Xiulei Xu, Jun Li, Jie Song, Gang Zhou, Jiren Cai, Xiaorui Zhang

“…Generalized linear mixed models (GLMM) were utilized to assess longitudinal changes in postoperative pain, functional disability, walking capacity, and muscle strength over time and their interactions with body mass index (BMI).ResultsObesity severity was significantly associated with the incidence of postoperative complications. …”
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Factors influencing the health behaviors of patients with ischemic stroke from a social-ecological perspective: a cross-sectional study by Min-Xiu Wang, Gui-Zhen Weng, Jin-Hua Liao, Xin-Yan Chen, Yan-Juan Lin

“…To address this methodological limitation, the present study adopts the Social-Ecological Model as a theoretical framework and employs hierarchical linear modeling (HLM) as a statistical approach. …”
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Forecasting of Suspended Sediment in River Using Artificial Intelligence Methods by Fatih ÜNEŞ, Bestami TASAR, Hakan VARÇIN

“…As a result, ANN model showed best performance. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…The research conclusion shows that VSGRNN outperforms traditional models in terms of accuracy, robustness, structural compression adaptability, and real-time feedback capability. …”
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The non-linear relationship between atherogenic index of plasma and stroke: a study among middle-aged and elderly Chinese adults with depression by Lu Chen, Yanan Zhao, Pengjia Wang, Xuanzhi Feng, Jiawei Han, Qianyu Yang, Xuesen Su, Yan Liu, Shouyuan Tian

“…This association persisted in the final multivariable-adjusted model (adjusting for 6 covariates), where AIP retained significance(p = 0.016). …”
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Life’s crucial 9 is inversely and linearly associated with female infertility prevalence: a cross-sectional analysis from NHANES 2013–2018 by Bianfang Li, Han Zhai

“…A total of 2088 women of reproductive age were included in the study, with an infertility prevalence of 13.98%.In the fully adjusted model, higher LC9 scores were associated with reduced odds of female infertility. …”
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State-space modelling for infectious disease surveillance data: Stochastic simulation techniques and structural change detection by Christopher D. Prashad

“…We present an exploration of advanced stochastic simulation techniques for state-space models, with a specific focus on their applications in infectious disease modelling. …”
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Energy Demand Forecasting and Policy Development in Turkey by Ercan Köse, Sevil Kutlu Kaynar

“…This study undertakes an analysis of Turkey’s current energy landscape and develops long-term electricity demand forecasts utilizing a diverse array of statistical and machine learning models, including linear regression, polynomial regression, and artificial neural networks (ANNs). …”
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Association between prognostic nutritional index and all-cause mortality in critically ill patients with ventilator-associated pneumonia: a retrospective study based on MIMIC-IV da... by Wenwen Ji, Guangdong Wang, Jia Liu

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Prediction of Subgrade Strength from Index Properties of Expansive Soil Stabilized with Bagasse Ash and Calcined Termite Clay Powder Using Artificial Neural Network and Regression by Asefachew Belete Tseganeh, Emer Tucay Quezon

“…The SEM micrographs showed that the morphology and fabric of the control specimen (raw soil) were significantly changed when the soil was stabilized with the optimum BA-CTCP combination (9% BA + 20% CTCP). The MLR prediction model was shown to be less efficient and accurate than the ANN model.…”
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Research on Adaptive Model Predictive Control Algorithm for Remotely Operated Vehicle by ZHU Yinggu, ZHANG Dinghua, TU Shaoping, SONG Junhui

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Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees by Aybike Özyüksel Çiftçioğlu, Anıl Delikanlı, Torkan Shafighfard, Faramarz Bagherzadeh

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Volatile organic compounds exposure associated with sarcopenia in US adults from NHANES 2011–2018 by Pangbo Wang, Pangbo Wang, Pangbo Wang, Wei Chen, Hongwei Fang, Liwei Xu, Jun Zhao, Jing Huang

“…We also employed Weighted Quantile Sum (WQS) regression model, a high-dimensional statistical approach used to evaluate the joint effects of multiple exposures, and Bayesian Kernel Machine regression (BKMR) model, a combination of Bayesian and statistical learning methods, to assess the mixture effects of mVOCs on sarcopenia risk. …”
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