Cultural differences in the beauty premium by Benjamin Kohler, Wladislaw Mill

“…Specifically, we establish a method for examining beauty associations in machine learning-based language models. Using this method, we replicate several standard findings in English. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…With the evolution of financial and actuarial models towards complexity and reliance on machine learning and data science, there is a growing demand for modern mathematicians, particularly actuaries, to acquire new skills and knowledge. …”
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FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

“…With the evolution of financial and actuarial models towards complexity and reliance on machine learning and data science, there is a growing demand for modern mathematicians, particularly actuaries, to acquire new skills and knowledge. …”
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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

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Integrating clinical data and genetic susceptibility to elucidate the relationship between systemic lupus erythematosus and human cytomegalovirus infection by Xin Luo, Liuliu Quan, Qingting Lin, Huiteng Rong, Yue Liu, Jiaqi Meng, Xin You

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Climate change promotes shifts of summer maize yield and water productivity in the Weihe River Basin: A regionalization study based on a distributed crop model by Wenxin Xie, Hui Ran, Anni Deng, Kunhao Jiang, Han Ru, Ning Yao, Jianqiang He, Tehseen Javed, Xiaotao Hu

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Description Generation Using Variational Auto-Encoders for Precursor microRNA by Marko Petković, Vlado Menkovski

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A Data-Driven Approach to Analyzing Fuel-Switching Behavior and Predictive Modeling of Liquefied Natural Gas and Low Sulfur Fuel Oil Consumption in Dual-Fuel Vessels by Hyunju Kim, Sangbong Lee, Jihwan Lee, Donghyun Kim

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Research on the Inversion Method of Dust Content on Mining Area Plant Canopies Based on UAV-Borne VNIR Hyperspectral Data by Yibo Zhao, Shaogang Lei, Xiaotong Han, Yufan Xu, Jianzhu Li, Yating Duan, Shengya Sun

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An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

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An Explainable Bayesian TimesNet for Probabilistic Groundwater Level Prediction by Zechen Peng, Shaoxing Mo, Alexander Y. Sun, Jichun Wu, Xiankui Zeng, Miao Lu, Xiaoqing Shi

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Supervised contrastive loss helps uncover more robust features for photoacoustic prostate cancer identification by Yingna Chen, Yingna Chen, Feifan Li, Zhuoheng Dai, Ying Liu, Shengsong Huang, Qian Cheng, Qian Cheng

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Enhanced safety assessment on tunnel excavation via refined rock mass parameter identification by Hongwei Huang, Tongjun Yang, Jiayao Chen, Zhongkai Huang, Chen Wu, Jianhong Man

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Simultaneous Estimation of Wrist Joint Angle and Torque During Isokinetic Contraction Based on HD-sEMG by Mingjie Yan, Zhe Chen, Jianmin Li, Jinhua Li, Lizhi Pan

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Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva

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Comparative study of IoT- and AI-based computing disease detection approaches by Wasiur Rhmann, Jalaluddin Khan, Ghufran Ahmad Khan, Zubair Ashraf, Babita Pandey, Mohammad Ahmar Khan, Ashraf Ali, Amaan Ishrat, Abdulrahman Abdullah Alghamdi, Bilal Ahamad, Mohammad Khaja Shaik

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AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications by Xiaoya Chen, Huinan Xu, Shengjie Yu, Wan Hu, Zhongjin Zhang, Xue Wang, Yue Yuan, Mingyue Wang, Liang Chen, Xiumei Lin, Yinlei Hu, Pengfei Cai

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Effortless Student Attendance: A Smart Human-Computer Interactive System Using Real Time Facial Recognition by Ahmad S. Lateef, Mohammed Y. Kamil

“…This extensive dataset enhances the robustness and reliability of our system, providing a diverse range of facial expressions, angles, and lighting conditions that improve the accuracy and generalizability of our model. Result: The system demonstrated accuracy of up to 100%, with deep learning algorithms outperforming machine learning methods. …”
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How Do National Innovation Factors Affect the Planning Knowledge Flow? by Bin Wu, Weifeng Qi, Xing Gao, Kang Cao

“…The research methods applied included social network analysis, Pearson correlation analysis, multiple regression analysis, and an interpretable machine learning method, the XGBoost-SHAP model. Our findings included: 1) For linear relationships, the results showed that research & development (R&D) and trade, diversification and market scale (T, D&M) had the greatest impact on transnational PKF. 2) The country’s institutional environment, knowledge absorption and education, etc., also affected the transnational PKF. 3) For non-linear effects, this study revealed the specific intervals in which the relevant NIFs played a facilitating or inhibiting role. 4) It was worth noting that information and communication technologies (ICTs) facilitated transnational PKF lightly, and even suppressed the flow in case it was underdeveloped and highly developed. …”
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Application of Simulated Annealing Algorithm in the Construction of Online Examination System for Tax Law Courses by da Pan

“…These findings highlight the effectiveness of SA in generating equitable and adaptive exams, providing a scalable and automated solution for tax law education. Future enhancements include integrating machine learning techniques to refine SA’s parameter tuning and further improving exam personalization.…”
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