Real-Time Polarimetric Imaging and Enhanced Deep Learning Model for Automated Defect Detection of Specular Additive Manufacturing Surfaces by Dingkang Li, Xing Peng, Hongbing Cao, Yuanpeng Xie, Shiqing Li, Xiang Sun, Xinjie Zhao

“…While machine learning and neural network algorithms have recently achieved significant advancements in innovative applications for AM defect detection, practical implementations still face challenges, including insufficient detection accuracy and poor system robustness. …”
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Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems by Saad A. Mohamed Abdelwahab, Hossam Eldin Khairy, Hossam Yousef, Samia Abdafatah, Moayed Mohamed

“…Total Harmonic Distortion (THD) for both current and voltage is compared and evaluated under ramp and random conditions. …”
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Ultrasound combined with serological markers for predicting neonatal necrotizing enterocolitis: a machine learning approach by Yi Yang, Shoulan Zhou, Xiaomin Liu, Yanhong Zhang, Liping Lin, Chenhan Zheng, Xiaohong Zhong

“…Background & aimsNeonatal necrotizing enterocolitis (NEC) remains a leading cause of morbidity and mortality in preterm infants. Current diagnostic methods, relying on clinical signs and radiography, often lack sensitivity for early detection. …”
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Towards Real-Time Spatial Distance Monitoring of Power Transmission Lines Using LiDAR Point Clouds and Visual Imaging by Li Zhendong, Wang Feiran, Han Geng, Guo Xinyang, Shi Zhaoyang

“…CONCLUSION: It uniquely combines LiDAR and image data with advanced algorithms for precise, real-time distance measurement and monitoring. …”
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Unveiling the role of oxidative stress in ANCA-associated glomerulonephritis through integrated machine learning and bioinformatics analyses by Liyuan Xie, Xianying Qiu, Junya Jia, Tiekun Yan, Pengcheng Xu

“…Targeting genes related to oxidative stress may provide novel insights and supplementary therapeutic benefits for AAGN. In the current study, we obtained differentially expressed genes from AAGN-related microarray datasets in the Gene Expression Omnibus database, and oxidative stress-related genes (OSRGs) from the GeneCards and Gene Ontology databases to identify differentially expressed OSRGs. …”
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Problematic points of anticoagulant therapy for atrial fibrillation in certain Russian regions in 2016- 2019: results of a retrospective big data analysis by M. A. Druzhilov, O. Yu. Druzhilova, Z. A. Ilchenko, P. I. Chalaya, T. Yu. Kuznetsova

“…Despite its growth with a CHA2DS2-VASc score increase in the high-risk range, it did not comply with current clinical guidelines This specifies the need for stricter control over the implementation of treatment and diagnostic algorithms and local protocols for managing these patients.…”
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Wellcounter: Automated high‐throughput phenotyping for aquatic microinvertebrates by Claus‐Peter Stelzer, Dominique Groffman

“…We discuss adapting this protocol for different microorganisms and hardware configurations, as well as general caveats and current limitations of this phenotyping approach. …”
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Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches by V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden

“…In this scenario, condition monitoring of the weld using machine learning algorithms is a remedy to detect the defects instantly. …”
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Statistical analysis of the migration situation and the factors affecting the Russian demographic expansion by Pavel E. Prokhorov, Nikita D. Epstein

“…In the study a critical assessment of the current classification of the factors, which affecting the migratory processes in Russia, has been carried out on the basis of the logical method of analysis of the subject area. …”
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Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions by Lili Zhao, Xuncheng Fan, Tao Hong

“…Finally, in light of current technological limitations, the study anticipates the application prospects of artificial intelligence and emerging analytical methods, as well as trends in urban heat island monitoring against the backdrop of climate change. …”
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Incremental predictive value of liver fat fraction based on spectral detector CT for major adverse cardiovascular events in T2DM patients with suspected coronary artery disease by Min Wang, Tanglin Wei, Li Sun, Yanhua Zhen, Ruobing Bai, Xiaomei Lu, Yue Ma, Yang Hou

“…Graphical abstract Research insights What is currently known about this topic? T2DM is associated with increased MACE rates, underscoring the need for improved risk prediction. …”
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Evaluation of MODIS and VIIRS BRDF Parameter Differences and Their Impacts on the Derived Indices by Chenxia Wang, Ziti Jiao, Yaowei Feng, Jing Guo, Zhilong Li, Ge Gao, Zheyou Tan, Fangwen Yang, Sizhe Chen, Xin Dong

“…This study reveals the need in optimizing the Clumping Index (CI)-NDHD algorithm to produce VIIRS CI product and highlights the importance of considering BRDF product quality flags for users in their specific applications. …”
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RESULTS OF USTEKINUMAB TREATMENT IN PATIENTS WITH PSORIATIC ARTHRITIS IN THE RUSSIAN FEDERATION ACCORDING TO THE DATA OF PSUMMIT 1 AND PSUMMIT 2 by Yu. L. Korsakova, A. A. Godzenko, A. O. Pchelintseva, O. Yu. Grigoryeva, L. N. Denisov, E. L. Nasonov

“…The PSUMMIT 2 study enrolled 40 Russian patients who had previously received or were currently receiving disease-modifying anti-rheumatic drugs and/or nonsteroidal  anti-inflammatory drugs and tumor necrosis factor-α  inhibitors. …”
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Prediction of a Panel of Programmed Cell Death Protein-1 (PD-1) Inhibitor–Sensitive Biomarkers Using Multiphase Computed Tomography Imaging Textural Features: Retrospective Cohort... by Shiqi Wang, Na Chai, Jingji Xu, Pengfei Yu, Luguang Huang, Quan Wang, Zhifeng Zhao, Bin Yang, Jiangpeng Wei, Xiangjie Wang, Gang Ji, Minwen Zheng

“…In total, 3 models were constructed using the Extreme Gradient Boosting algorithm: AP-only (8 features), PP-only (22 features), and a fused model combining AP and PP features (20 features: 6 AP and 14 PP features). …”
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Research Status and Prospects of Key Technologies for Rice Smart Unmanned Farms by YU Fenghua, XU Tongyu, GUO Zhonghui, BAI Juchi, XIANG Shuang, GUO Sien, JIN Zhongyu, LI Shilong, WANG Shikuan, LIU Meihan, HUI Yinxuan

“…Rice yield estimation technology is mainly used to predict yield by combining multi-source data and algorithms, but there are still problems such as the difficulty of integrating multi-source data, which requires further research. …”
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Artificial intelligence in prostate cancer by Wei Li, Ruoyu Hu, Quan Zhang, Zhangsheng Yu, Longxin Deng, Xinhao Zhu, Yujia Xia, Zijian Song, Alessia Cimadamore, Fei Chen, Antonio Lopez-Beltran, Rodolfo Montironi, Liang Cheng, Rui Chen, Yuanyuan Ji

“…The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. …”
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Developments in solar-driven desalination: Technologies, photovoltaic integration, and processes by Mohamed El-Sayed M. Essa, Hemdan S. El-sayed, Elwy E. El-kholy, Mohammed Amer, Mahmoud Elsisi, Uzair Sajjad, Khalid Hamid, Hilmy El-sayed Awad

“…The paper also explores cutting-edge optimization techniques and rule-based control algorithms that significantly enhance operational performance. …”
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A bioinspired in-materia analog photoelectronic reservoir computing for human action processing by Hangyuan Cui, Yu Xiao, Yang Yang, Mengjiao Pei, Shuo Ke, Xiao Fang, Lesheng Qiao, Kailu Shi, Haotian Long, Weigao Xu, Pingqiang Cai, Peng Lin, Yi Shi, Qing Wan, Changjin Wan

“…Abstract Current computer vision is data-intensive and faces bottlenecks in shrinking computational costs. …”
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Computational design of diverse nuclear factor erythroid 2 activators with cellular antioxidative activity by Mingyue Yuwen, Xiaoning Gao, Junli Ba, Jiayang Wu, Jun Kang, Sheng Ye, Cheng Zhu

“…In this study, we employed deep learning algorithms to design miniproteins capable of activating NRF2. …”
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Capsule neural network and its applications in drug discovery by Yiwei Wang, Binyou Wang, Jun Zou, Anguo Wu, Yuan Liu, Ying Wan, Jiesi Luo, Jianming Wu

“…Summary: Deep learning holds great promise in drug discovery, yet its application is hindered by high labeling costs and limited datasets. Developing algorithms that effectively learn from sparsely labeled data is crucial. …”
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