SLC3A2 as a key anoikis−related gene for prognosis and tumor microenvironment remodeling in melanoma by Xiaojin Liu, Jiaheng Xie, Yingying Xiao

“…Batch effects in single-cell data were corrected using the Harmony algorithm. Cell subpopulations were annotated via t-SNE dimensionality reduction and canonical markers, and AUCell was employed to compute the enrichment scores of anoikis-related genes across cell subtypes. …”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…By leveraging tensor to model state-action values and employing tensor decomposition techniques for dimensionality reduction, this method effectively reduces model parameters and communication overhead while maintaining strong interpretability, accelerates algorithm convergence speed. …”
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Improved Variational Mode Decomposition in Pipeline Leakage Detection at the Oil Gas Chemical Terminals Based on Distributed Optical Fiber Acoustic Sensing System by Hongxuan Xu, Jiancun Zuo, Teng Wang

“…This paper employs a distributed fiber optic sensing system to collect pipeline leakage signals and processes these signals using the traditional variational mode decomposition (VMD) algorithm. While traditional VMD methods require manual parameter setting, which can lead to suboptimal decomposition results if parameters are incorrectly chosen, our proposed method introduces an improved particle swarm optimization algorithm to automatically determine the optimal parameters. …”
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Computer Vision-Based Robotic System Framework for the Real-Time Identification and Grasping of Oysters by Hao-Ran Qu, Jue Wang, Lang-Rui Lei, Wen-Hao Su

“…In order to capture oyster motion dynamically on a conveyor belt, a Kalman filter (KF) combined with a Low-Pass filter algorithm was employed to predict oyster trajectories, thereby improving noise reduction and motion stability. …”
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Joint analysis of single-cell RNA sequencing and bulk transcriptome reveals the heterogeneity of the urea cycle of astrocytes in glioblastoma by Minfeng Tong, Qi Tu, Lude Wang, Huahui Chen, Xing Wan, Zhijian Xu

“…Monocle algorithm was applied for pseudotime trajectory analysis. …”
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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning by Fan Jiang, Peng Peng, Zhenting Xu, Yu Xu, Ding Yang, Shouquan Chai, Shuai Yuan, Limin Hua, Dawei Wang, Xuanye Wen

“…ABSTRACT The great gerbil (Rhombomys opimus) is a pest rodent that is widely distributed in Eurasia, and assessing its outbreak risk and instituting timely population control are very important for protecting vegetation and human health. …”
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Implementing Blockchain Technology for Secure Data Transactions in Cloud Computing Environments Challenges and Solutions by Dandu Varalakshmi, N Shirisha, K Suresh, Saidhbi Shaik, V Venkatesh, C F Theresa Cenate

“…Security risks in modern multi-cloud environments include data compromise, unauthorized pain points, and increased data leakage risk. …”
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Vitamin C improves 28-day survival in patients with sepsis-associated acute kidney injury in the intensive care unit: a retrospective study by Yang He, Jinglan Liu

“…After adjusting for confounders via Cox regression, the vitamin C group demonstrated a 17% reduction in in-hospital mortality risk (adjusted hazard ratio [aHR] 0.67, 95% CI: 0.57–0.79; p < 0.001). …”
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Assessing the Cause of Death for Men with Prostate Cancer Using Official Mortality Statistics or a Dedicated Cause of Death Committee: Results from 30-year ERSPC Rotterdam Data by Sebastiaan Remmers, Ivo I. de Vos, Frederique B. Denijs, Renée C.A. Leenen, Tycho M.T.W. Lock, Arjen Noordzij, Wim J. Kirkels, Chris H. Bangma, Monique J. Roobol

“…Extrapolation of our findings to 30 yr of follow-up would result in an expected risk reduction of PCSM of 30% using data from the CODC and 33% using official statistics in favor of screening. …”
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Low-dose computed tomography image denoising using pixel level non-local self-similarity prior with non-local means for healthcare informatics by Dawa Chyophel Lepcha, Bhawna Goyal, Ayush Dogra, Krunal Vaghela, Ashish Singh, K. S. Ravi Kumar, Durga Prasad Bavirisetti

“…Abstract Low-dose computed tomography (LDCT) has gained considerable attention for its ability to minimize patients’ exposure to radiation thereby reducing the associated cancer risks. However, this reduction in radiation dose often results in degraded image quality due to the presence of noise and artifacts. …”
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THE APPROVAL OF COMPLEX TREATMENT EFFECTIVENESS OF GENERALIZED PERIODONTITIS FOR THE PATIENTS AFTER TRANSMITTED CORONAVIRUS DISEASE AND REMAIN ON REHABILITATION by T.I. Matviykiv, M.M. Rozhko

“…Treatment and follow-up of dental patients with severe COVID-19 can help identify risk groups and establish appropriate recommendations for the effectiveness of standard and proposed comprehensive periodontal treatment. …”
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Analysis of the Radiological Anatomy of the Proximal Femur after the Intramedullary Nailing of Trochanteric Fractures by Boris A. Maiorov, Igor G. Belenkiy, Gennadii D. Sergeev, Ivan A. Endovitskiy, Mariya A. Sergeeva, David A. Isakhanyan

“…Despite the high rate of the intramedullary osteosynthesis of proximal femur fractures, the incidence of implant-associated complications exceeds 50%. Poor reduction and incorrect implant positioning significantly increase the risk of mechanical complications and the frequency of unsatisfactory treatment outcomes. …”
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Machine learning approaches for mapping and predicting landslide-prone areas in São Sebastião (Southeast Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Roberto Mantovani, José Antonio Marengo

“…This research demonstrates the effectiveness of machine learning in landslide susceptibility mapping and offers valuable insights for disaster risk reduction and urban planning in coastal mountainous regions.…”
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Distributionally robust hybrid energy management in smart mining using process-coupled primal-dual mirror descent by Dawei Wang, Yifei Li, Cheng Gong, Tianle Li, Fang Wang, Shanna Luo, Jun Li

“…To alleviate the computational burden caused by nested risk formulations, a Primal-Dual Reformulated Distributionally Robust Process Scheduling (PDR-DRPS) algorithm is proposed. …”
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Simple Yet Powerful: Machine Learning-Based IoT Intrusion System With Smart Preprocessing and Feature Generation Rivals Deep Learning by Kazim Kivanc Eren, Kerem Kucuk, Fatih Ozyurt, Omar H. Alhazmi

“…However, these solutions introduce the risk of overengineering, in which the complexity of the model outweighs its practical benefits. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

“…This study aims to use UPD combined with an algorithm for the discrimination of arteries and veins to monitor CAR during DH-CPB in neonates. …”
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Cytomegalovirus infection in immunocompetent pregnant women: clinical manifestations and management tactics by N. V. Rogozina, V. V. Vasil’ev, N. S. Bezverhaja, R. A. Ivanova, G. M. Ushakova, E. S. Romanova

“…Objective: to analyze clinical manifestations, diagnostic and therapeutic approaches to management of pregnant women with cytomegalovirus infection for optimization of clinical and laboratory diagnostics and reduction of risks of congenital cytomegalovirus infection in the postnatal period.Materials and methods: in the article describe results a retrospective study the pregnancy course of 92 women who had 94 children with a confirmed congenital manifest form of cytomegalovirus infection. …”
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Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning by Jumanah Ahmed Darwish

“…This research provides valuable insights into how dimensionality reduction can improve the interpretability and robustness of credit rating models, offering practical guidance for more effective financial risk assessment.…”
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Identification of key programmed cell death genes for predicting prognosis and treatment sensitivity in colorectal cancer by Jian-ying Ma, Jian-ying Ma, Yi-xian Wang, Zhen-yu Zhao, Zhen-yu Xiong, Zi-long Zhang, Jun Cai, Jia-wei Guo

“…Patients with CRC who had a high-risk score exhibited a poorer prognosis. Unsupervised clustering algorithms were used to identify two molecular subtypes of CRC with distinct features. …”
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Hazard Assessment of Extreme Compound Flood Hazards in Coastal Cities under Climate Change: A Case Study of Haikou City by Liu Qing, Wu Guofeng, Yao Qian, Xu Hanqing, Niu Yiying, Wei Xuchen, Wang Jun, Li Mengya

“…This study applied a high-resolution MRI-AGCM3-2-S climate model and the TempestExtremes tracking algorithm to construct a 6-hourly Tropical Cyclone (TC) track dataset affecting Haikou from 1960 to 2099. …”
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