Gender dynamics in agricultural employment for food security in sub-Saharan Africa by Afees Noah, Oladipo David, Grobler Wynand, Alabi Moshood

“…The study uses descriptive analysis, system generalized method of moments (SGMM), and panel-corrected standard error (PCSE) methodologies to analyze the secondary data on 28 SSA countries. …”
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Can Measurement and Input Uncertainty Explain Discrepancies Between the Wheat Canopy Scattering Model and SMAPVEX12 Observations? by Lilangi Wijesinghe, Andrew W. Western, Jagannath Aryal, Dongryeol Ryu

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Predicting visual field global and local parameters from OCT measurements using explainable machine learning by Md Mahmudul Hasan, Jack Phu, Henrietta Wang, Arcot Sowmya, Erik Meijering, Michael Kalloniatis

“…However, predicting VF measures from OCT data remains challenging. To address this, five regression models were developed to predict VF measures from OCT, Shapley Additive exPlanations (SHAP) analysis was performed for interpretability, and a clinical software tool called OCT to VF Predictor was developed. …”
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Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest by Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley

“…Utilizing remote sensing (RS) data, such as Airborne Light Detection and Ranging (LiDAR), aerial imagery, and satellite images can significantly enhance the efficiency of forest carbon monitoring efforts. …”
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The Effect of Stress Distribution on Tibial Implants with a Honeycomb Structure in Open-Wedge High Tibial Osteotomy by Zengbo Xu, Chunhui Mu, Yi Xia

“…In this study, finite element (FE) analysis and in vitro biomechanical experiments were utilized to evaluate the impact of different tibial implants on postoperative tibial stress distribution. …”
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Envelope and intelligent prediction of horizontal bearing capacity for offshore wind monopiles in sandy seabed under HM combined loading by Xin-Yu You, Shi-Yi Qian, Bin Li, Jun Wang, Ling-Yu Xu

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The two-mode network approach to digital skills and tasks among technology park employees by Anna Ujwary-Gil, Bianka Godlewska-Dzioboń

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Geographically Aware Air Quality Prediction Through CNN-LSTM-KAN Hybrid Modeling with Climatic and Topographic Differentiation by Yue Hu, Yitong Ding, Wenjing Jiang

“…First, Shapiro–Wilk normality testing (<i>p</i> < 0.05) revealed non-Gaussian distribution characteristics in the observational data, providing statistical justification for implementing Gaussian filtering-based noise suppression. …”
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Psychometric Properties for the Malay Version of the Assessment of Criteria for Specific Internet-use Disorders among Young Adults in Malaysia by Yan-Li Siaw, Kah-Heng Chua, Kamolthip Ruckwongpatr, Serene En Hui Tung, Wan Ying Gan, Wai Chuen Poon, Siti Rahayu Nadhiroh, Ira Nurmala, Servet Üztemur, I-Hua Chen, Mark D. Griffiths, Chung-Ying Lin

“…Results: The confirmatory factor analysis findings supported the four-factor structure of the Malay ACSID-11 across gender, ethnicity, and academic achievement with good fit statistics: comparative fit index (CFI) ≥ 0.968, Tucker-Lewis index (TLI) ≥ 0.949, root mean square error of approximation (RMSEA) ≥ 0.057, standardized root mean square residual (SRMR) ≥ 0.028 (frequency response); CFI ≥ 0.968, TLI ≥ 0.958, RMSEA ≥ 0.079, SRMR ≥ 0.033 (intensity response). …”
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Soft-computing models for predicting plastic viscosity and interface yield stress of fresh concrete by Waleed Bin Inqiad, Muhammad Faisal Javed, Deema Mohammed Alsekait, Naseer Muhammad Khan, Majid Khan, Fahid Aslam, Diaa Salama Abd Elminaam

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Applying machine learning with MobileNetV2 model for rapid screening of vaginal discharge samples in vaginitis diagnosis by Thi Bang-Suong Nguyen, Hoang-Bac Nguyen, Thi Xuan-Thao Le, Thi Hong-Chau Bui, Le Song-Toan Nguyen, Thao-Huong Nguyen, Truong Cong-Minh Nguyen

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Tracking orthodontic tooth movement and associated biomechanics using an integrated clinical and in vitro mechanical approach by Arya Subramanian, Robyn de Wet, Lingyu Bu, Manuel O. Lagravere, Paul W. Major, Dan L. Romanyk

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Impact of COVID-19 pandemic in the Brazilian maternal mortality ratio: A comparative analysis of Neural Networks Autoregression, Holt-Winters exponential smoothing, and Autoregress... by Mayara Carolina Cañedo, Thiago Inácio Barros Lopes, Luana Rossato, Isadora Batista Nunes, Izadora Dillis Faccin, Túlio Máximo Salomé, Simone Simionatto

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Gender Bias in Arabic: Analysis of Jacques Derrida's Deconstruction Theory l Al-Taḥayuz al-Jinsânĩy fĩ al-Lugah al-‘arabiyyah: Taḥlĩl Nazariyyah al-Tafkĩkiyyah Jacques Derrida... by Eva Dewi, Wildana Wargadinata, Iffat Maimunah, Faisal Mahmoud Adam Ibrahim

“…To answer the problem above, researchers used qualitative and descriptive research methods to express the form of words and language in context. Meanwhile, data analysis is analyzed by using the theory of disassociation Jacques Derrida to find discrepancies in the content of the text through three stages . …”
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Sensor Fusion for Enhancing Motion Capture: Integrating Optical and Inertial Motion Capture Systems by Hailey N. Hicks, Howard Chen, Sara A. Harper

“…The proposed algorithm takes the first and last frame of OMC data and fills the rest with gyroscope data from the IMC. …”
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Time-Series Prediction of Failures in an Industrial Assembly Line Using Artificial Learning by Mert Can Sen, Mahmut Alkan

“…The models are trained to predict failures and assessed via error metrics (RMSE, MAE, MAPE), residual analysis, variance analysis, and computational efficiency. …”
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MIND THE MULTIPLIER: RECALIBRATING THE GROWTH FACTOR IN VALUING PUBLIC COMPANIES by Валентин Бур’янов

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An Integrated Model for Dam Break Flood Including Reservoir Area, Breach Evolution, and Downstream Flood Propagation by Huiwen Liu, Zhongxiang Wang, Dawei Zhang, Liyun Xiang

“…The obtained results demonstrate strong concurrence with the measured data, the relative errors of the four important parameters of the application case, the peak discharge of the breach, the top width of the final breach, the depth of the breach and the arrival time of the maximum peak discharge are all within ±10%. …”
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Machine learning-based prediction of speed of sound in fatty acid ethyl esters by Kusum Yadav, Shahad Almansour, Lulwah M. Alkwai, Anupam Yadav, Mehrdad Mottaghi

“…CNN achieved an R² value of 0.9996, with low average absolute relative error and mean squared error, outperforming other tested algorithms. …”
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Research on the blasting effect prediction and blasting parameter optimization based on PCA-PSO-DBN by Weilong Ma, Biao Qiao, Tongkai Wen, Zhanping Song, Zhenzhong Ren

“…By training and predicting data from Sect. 3 of the NEOM New City tunnel project, the feasibility of the model was validated through on-site data analysis. …”
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