DQN-Based Shaped Reward Function Mold for UAV Emergency Communication by Chenhao Ye, Wei Zhu, Shiluo Guo, Jinyin Bai

“…Furthermore, we introduce a supplementary shaped reward function tailored to alleviate the problem of sparse rewards. …”
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Exploring the Functionality of Microbes in Fermented Foods: Technological Advancements and Future Directions by Akanksha Singh, Sanjay Kumar

“…Through a combination of traditional methods and modern biotechnological innovations, functional fermentation is bound to transform the global food industry.…”
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Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia by Xiaoyun Feng, Yufeng Qin, Yulong Feng, Yingquan Zhuo

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Role of additive manufacturing in developing functionally graded materials for nuclear applications by Amal Sasi, Madhulika Srivastava, K. Dash

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A multi-functional simulation platform for on-demand ride service operations by Siyuan Feng, Taijie Chen, Yuhao Zhang, Jintao Ke, Zhengfei Zheng, Hai Yang

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Effectiveness of the integrated functional adult education program: Insights on the management process in Southern Ethiopia by Endale Berhanu Demissie, Abraham Asaro, Mary Wairimu Thuo, Tafano Ouke Labiso, Giorgis Chinasho Lachebo

“…The study aimed to assess the effectiveness of the integrated functional adult education program implementation in Southern Ethiopia. …”
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On machine learnability of local contributions to interatomic potentials from density functional theory calculations by Mahboobeh Babaei, Ali Sadeghi

“…Abstract Machine learning interatomic potentials, as a modern generation of classical force fields, take atomic environments as input and predict the corresponding atomic energies and forces. …”
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Learning Manipulation from Expert Demonstrations Based on Multiple Data Associations and Physical Constraints by Yangqing Ye, Yaojie Mao, Shiming Qiu, Chuan’guo Tang, Zhirui Pan, Weiwei Wan, Shibo Cai, Guanjun Bao

“…Abstract Learning from demonstration is widely regarded as a promising paradigm for robots to acquire diverse skills. …”
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A Deep Learning-Based Method for Detection of Multiple Maneuvering Targets and Parameter Estimation by Beiming Yan, Yong Li, Qianlan Kou, Ren Chen, Zerong Ren, Wei Cheng, Limeng Dong, Longyuan Luan

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Machine learning based prediction of cognitive metrics using major biomarkers in SuperAgers by Hyo-Bin Lee, So-Yeon Kwon, Ji-Hae Park, Bori Kim, Geon-Ha Kim, Jang-Hwan Choi, Young Mi Park

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Editorial: Approaches to improve the performance of virtual screening: scoring functions, structural filtration, prediction of physicochemical properties/pharmacological activity by Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Hélcio Silva Dos Santos, Alexander Veselovsky, Dmitry Nilov

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Fine-tuning text-to-SQL models with reinforcement-learning training objectives by Xuan-Bang Nguyen, Xuan-Hieu Phan, Massimo Piccardi

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PUMA reduces FASN ubiquitination to promote lipid accumulation and tumor progression in human clear cell renal cell carcinoma by Qianqian Luo, Qi Wang, Jian Shi, Qingyang LV, Zirui Dong, Wen Li, Yaru Xia, Jingchong Liu, Hongmei Yang

“…In this study, we discover a novel oncogenic role for PUMA in ccRCC, diverging from its known apoptotic function, through assessments of public datasets, clinical tissue samples, and cell line experiments. …”
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Influence of high fructose intake on systemic and cognitive health across developmental stages: A review by Zinhle Mvelase, Mluleki Luvuno, Musa V. Mabandla

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GFOD1 expression in clear cell renal cell carcinoma and its role in cancer cell proliferation, migration, and invasion by Zhi Liu, Kui Wu, Qian Shu, Xin Chen

“…Abstract Background The goal of this research was to examine the expression levels of Glucose-Fructose Oxidoreductase Domain Containing 1 (GFOD1) and to explore how it influences the proliferation, migration, and invasion of cancer cells in clear cell renal cell carcinoma (ccRCC, also known as KIRC). …”
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MLN4924 suppresses tumor metabolism and growth of clear cell renal cell carcinoma by stabilizing nuclear FBP1 by Yajing Yang, Yan Ma, Shiyin Fan, Jie Zhu, Bin Ye, Ruonan Zhang, Jiaxi Li, Hongchen Li, Zhencang Zheng, Yufeng Li, Lei Lv

“…FBP1 could enter the nucleus and restrain HIF function in a non-enzymatic manner. However, its regulatory mechanism in ccRCC tumorigenesis remains poorly understood. …”
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A Multi-Omics Prognostic Model Capturing Tumor Stemness and the Immune Microenvironment in Clear Cell Renal Cell Carcinoma by Beibei Xiong, Wenqiang Liu, Ying Liu, Tong Chen, Anqi Lin, Jiaao Song, Le Qu, Peng Luo, Aimin Jiang, Linhui Wang

“…The CRCS2 subtype was in a hypoxic state and was characterized by suppression and exclusion of immune function, which was sensitive to gefitinib, erlotinib, and saracatinib. …”
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Automated Deep Learning Based Cardiac Quantification in Hypertrophic Cardiomyopathy: A Comparative Study with Manual Segmentation by Shivam Angiras, Deb Kumar Boruah, Pranjal Phukan, Kalyan Sarma, Prince Das, Rajeev Bharadwaj, Harshit Jain, Ajmal Roshan

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A Deep Learning-Based Echo Extrapolation Method by Fusing Radar Mosaic and RMAPS-NOW Data by Shanhao Wang, Zhiqun Hu, Fuzeng Wang, Ruiting Liu, Lirong Wang, Jiexin Chen

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Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength by She Wang, Qi Zhang

“…After a great deal of effort and growing investment in time, the proper adoption of machine learning methods, especially the radial basis function (RBF), opens a route to promising alternatives against empirical methods for better real-time prediction of UCS. …”
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