Novel insights into the molecular mechanisms of sepsis-associated acute kidney injury: an integrative study of GBP2, PSMB8, PSMB9 genes and immune microenvironment characteristics by Haiting Ye, Xiang Zhang, Pengyan Li, Mei Wang, Ruolan Liu, Dingping Yang

“…Furthermore, immune infiltration analysis provided additional insights into their potential functions. Conclusion GBP2, PSMB8, and PSMB9 are promising candidate genes for SA-AKI, providing a novel perspective on its pathological mechanisms. …”
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METHODOLOGICAL APPROACHES TO ESTIMATING OF PROFESSIONAL COMPETENCE OF LABORATORY SPECIALISTS AT MEDICAL AND PREVENTIVE ORGANIZATIONS AND THE FEDERAL SERVICE FOR SUPERVISION OF CONS... by A. S. DOVGALYOV, S. Yu. ASTANINA, A. P. SERDYUK, N. D. ANDREEVA, G. Yu. NIKITINA

“…That is shown at the example of quality assessment in the determination of 9 species of the most spread agents of zoonotic helminthosis (of two taxonomic groups) in virtual drugs of distance learning technologies. The specialists of 757 laboratories of medical and preventive organizations as well as hygiene and epidemiology centers of various regions of Russian Federation are involved in this research study. …”
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POSSIBILITIES OF ARTIFICIAL INTELLIGENCE IN COMPUTER-AIDED DESIGN OF STAINED GLASS ART by Andrii Petrushevskyi, Yevhen Antonovych

“…Practical significance. With machine learning algorithms, artificial intelligence can generate unique and creative stained glass designs, taking into account contemporary trends and individual preferences of clients. …”
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SPP1 expression indicates outcome of immunotherapy plus tyrosine kinase inhibition in advanced renal cell carcinoma by Xianglai Xu, Jinglai Lin, Jiahao Wang, Ying Wang, Yanjun Zhu, Jiajun Wang, Jianming Guo

“…Additionally, a machine-learning-based model was constructed to predict the benefit of IO-TKI treatment. …”
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Automated analysis of clinical interviews indicates altered head movements during social interactions in youth at clinical high-risk for psychosis by Juliette Lozano-Goupil, Tina Gupta, Trevor F. Williams, Amy E. Pinkham, Claudia M. Haase, Stewart A. Shankman, Vijay A. Mittal

“…Abstract Alterations in social functioning are commonly observed in youth at clinical high risk (CHR) for psychosis. …”
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Hyper CLS-Data-Based Robotic Interface and Its Application to Intelligent Peg-in-Hole Task Robot Incorporating a CNN Model for Defect Detection by Fusaomi Nagata, Ryoma Abe, Shingo Sakata, Keigo Watanabe, Maki K. Habib

“…Additionally, robotic functional extensions, e.g., the easy implementation of a machine learning model, such as a convolutional neural network (CNN), a visual feedback controller, cooperative control for multiple robots, and so on, has not been sufficiently realized yet. …”
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EVALUATION OF SHIP SIMULATOR EFFECTIVENESS AND SUITABILITY BY MARITIME INSTRUCTORS by Murat Yorulmaz, Gurbet Buyukozturk

“…The study investigates the effects of the design and functionality of simulators on the training process while evaluating the effectiveness of simulators to improve the quality of maritime education and to provide cost-effective solutions that meet sectoral needs. …”
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Development of a course for training in modern cloud technologies by A. V. Stavitskiy, I. G. Ashavskiy, D. V. Volkov

“…As a result of the study, the necessity of creating an educational course for students was substantiated, and a special course was developed for teaching the openstack cloud virtualization platform, which includes the necessary materials (presentations, lectures, seminars, as well as a platform and laboratory stands for students with access via the Internet).A special course web page was created where potential students have the opportunity to familiarize themselves with the description and basic components of the course, send a request for participation, and also get access to the materials (after confirmation of the participant by the administrator).Every year, the developed materials, the platform and laboratory stands are updated due to the release of new versions of openstack, adding new functionality and updating business needs.Conclusion. …”
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Diurnal Variations of Infrared Land Surface Emissivity in the Taklimakan Desert: An Observational Analysis by Yufen Ma, Kang Zeng, Ailiyaer Aihaiti, Junjian Liu, Zonghui Liu, Ali Mamtimin

“…Model comparisons indicate that sinusoidal functions outperform polynomial fits across most wavelengths, especially at 12.1 μm, confirming the significant influence of diurnal forcing. …”
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Unraveling the role of histone acetylation in sepsis biomarker discovery by Feng Cheng, Juxin Deng, Zhaoyang Du, Lei Li, Zhaolei Qiu, Min Zhu, Hongchang Zhao, Hongchang Zhao, Zhenjie Wang, Zhenjie Wang

“…Mendelian randomization (MR), RT-qPCR, and functional assays were conducted for validation.ResultsBLOC1S1, NDUFA1, and SFT2D1 were identified as key biomarkers. …”
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Subspecialized medical team mode facilitates radiology resident training by Youjin Zhao, Yidi Chen, Jin Yao, Weixia Chen, Qiang Yue, Bin Wu, Na Hu, Su Lui

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Cross-Modality Consistency Network for Remote Sensing Text-Image Retrieval by Yuchen Sha, Yujian Feng, Miao He, Yichi Jin, Shuai You, Yimu Ji, Fei Wu, Shangdong Liu, Shaoshuai Che

“…In addition, we propose the cross-modality distinction loss function to learn semantic consistency between modalities by compacting intraclass samples and separating interclass samples. …”
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Post occupancy evaluation of architectural design studio facilities by Mohamed Salah Ezz, Mohamed Salah Ezz, Mohamed Ahmed F. Mahdy, Mohamed Ahmed F. Mahdy, Saleh Baharetha, Mohammad A. Hassanain, Mohammad A. Hassanain, Mohammed M. Gomaa, Mohammed M. Gomaa

“…The effectiveness of architectural studios determines how students learn in architecture schools because it affects their creativity levels and productivity and educational achievement. …”
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Incidence of surgical site infections and prediction of risk factors in a hospital center in Morocco by Rachid Flouchi, Mohamed El Far, Abdelaziz Hibatallah, Abderrahim Elmniai, Ibtissam Rhbibou, Ibrahim Touzani, Naoufal El Hachlafi, Kawtar Fikri-Benbrahim

“…The SSIs’ risk factors were assessed by univariate statistical analysis and logistic regression using the Scikit Learn function of Python. Results: The average age of the studied population was 35 ± 1 years. …”
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Analysis of biofilm assembly by large area automated AFM by Ruben Millan-Solsona, Spenser R. Brown, Lance Zhang, Sita Sirisha Madugula, HuanHuan Zhao, Blythe Dumerer, Amber N. Bible, Nickolay V. Lavrik, Rama K. Vasudevan, Arpan Biswas, Jennifer L. Morrell-Falvey, Scott Retterer, Martí Checa, Liam Collins

“…While atomic force microscopy (AFM) offers critically important high-resolution insights on structural and functional properties at the cellular and even sub-cellular level, its limited scan range and labor-intensive nature restricts the ability to link these smaller scale features to the functional macroscale organization of the films. …”
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Time Series Prediction Method of Clean Coal Ash Content in Dense Medium Separation Based on the Improved EMD-LSTM Model by Kai Cheng, Xiaokang Zhang, Keping Zhou, Chenao Zhou, Jielin Li, Chun Yang, Yurong Guo, Ranfeng Wang

“…A key innovation lies in removing noise-containing intrinsic mode functions (IMFs) via EMD to ensure clean signal input to the LSTM model. …”
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Freely Selective Analog and Digital Resistive Switching Behavior of In2Se3 Devices for Storage and Neuromorphic Applications by Siying Tian, Changhao Wang, Yuanjie Wang, Honghao Wang, Chenxi Gao, Weisen Hu, Jia Wei, Fengling Chen, Dapeng Sun, Xu Zheng, Chaobo Li, Chujun Yin

“…Reconfigurable logic functions and an artificial neural network (ANN) with outline learning accuracy (≈89%) for handwritten digit recognition are achieved. …”
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CO28 | Cognitive, adaptive abilities and behavioral symptoms in children and adolescents with hemophilia: a pilot study

“…Conclusions: Children with hemophilia show preserved cognitive abilities but reduced adaptive functioning, especially in practical skills. Those with neurodevelopmental disorders are more vulnerable behaviorally and adaptively, with increased risk for ADHD and learning difficulties. …”
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Artificial intelligence-assisted RNA-binding protein signature for prognostic stratification and therapeutic guidance in breast cancer by Yunxia Zhao, Li Li, Shuqi Yuan, Zixin Meng, Jiayi Xu, Zhaogen Cai, Yijing Zhang, Xiaonan Zhang, Tao Wang

“…Future studies should validate findings across diverse populations and expand functional analyses.…”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…The system comprises four functional modules including multi-channel active surveillance, intelligent early warning, data-driven risk assessment, and smart emergency response. …”
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