Cost effectiveness analysis of three colorectal cancer screening modalities in Kuwait by Amrizal Muhammad Nur, Syed Mohamed Aljunid, Eleni L. Tolma, Mahmoud Annaka, Rihab Alwotayan, Amani Elbasmi, Walid Q. Alali

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LRDS-YOLO enhances small object detection in UAV aerial images with a lightweight and efficient design by Yuqi Han, Chengcheng Wang, Hui Luo, Huihua Wang, Zaiqing Chen, Yuelong Xia, Lijun Yun

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Effects of the combination of sea cucumber peptide and Cistanche deserticola on hormone regulation and testicular anti-oxidative damage in acute-exercising mice by LUO Xianliang, LIU Wangxin, WANG Jing, DU Juan, FENG Fengqin

“…An acute exhaustive swimming (AES) model was conducted, and a mating test was carried out on the 45th day. …”
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Path Planning for Rapid DEDAM Processing Subject to Interpass Temperature Constraints by Glenn W. Hatala, Edward W. Reutzel, Qian Wang

“…For certain alloys, interpass temperature requirements are imposed to control heat accumulation and microstructure transformation, as well as to minimize distortion under varying thermal conditions. …”
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“Digital” generation in the educational system of the Russian region: problems and solutions by S. V. Butsyk

“…The author substantiates two main reasons that lead to this result: 1) a more optimal workload of learning and cognitive activity of lyceum students, which, as a result, significantly reduces their free time, that could be spent on entertainment/ communication; 2) better control from the parents of lyceum students.Conclusion. …”
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Single-cell resolution imaging of retinal ganglion cell apoptosis in vivo using a cell-penetrating caspase-activatable peptide probe. by Xudong Qiu, James R Johnson, Bradley S Wilson, Seth T Gammon, David Piwnica-Worms, Edward M Barnett

“…Electroretinography following intravitreal injections of TcapQ488 showed no significant difference compared with control injections. We optimized the signal-to-noise ratio of a caspase-activatable cell penetrating peptide probe for quantitative non-invasive detection of RGC apoptosis in vivo. …”
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Characterization and evaluation of immobilized bimetallic and trimetallic nanoparticles fabricated using grape leaf extract and glass waste for cefixime removal by Teeba Salih Merjan, Ziad Tark Abd Ali

“…The experimental adsorption data tightly matched the Freundlich isotherm model, showing a heterogeneous adsorption process. …”
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Multinomial logistic regression algorithm for the classification of patients with parkinsonisms by Eva Štokelj, Tomaž Rus, Jan Jamšek, Maja Trošt, Urban Simončič

“…The resulting principal components are then used in a multinomial logistic regression model, which generates disease-specific topographies that can be used to classify new patients. …”
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IFed: A novel federated learning framework for local differential privacy in Power Internet of Things by Hui Cao, Shubo Liu, Renfang Zhao, Xingxing Xiong

“…However, the large computing resource consumption to train the machine learning model is not affordable for most Power Internet of Thing terminal. …”
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Effect of Steel Slag Fine Aggregate on the Seismic Behavior of Reinforced Concrete Columns with Steel Slag Sand by Tianhai Zhao, Dongling Zhang, Qiang Jin, Sen Li, Xuanxuan Liu

“…At an SSA replacement ratio of 40%, the specimens show optimal performance: energy dissipation capacity increases by 11.3%, bond–slip deformation in the plastic hinge region decreases by 10%, and flexural deformation capacity improves by 9% compared to the control group. …”
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Prediction of Water Quality Index of Island Counties Under River Length System—A Case Study of Yuhuan City by Cheng Zhang, Lei Wang, Chuan Lin, Minyuan Lu

“…Under the optimal input variable combination, the Extreme Gradient Boosting model demonstrated the best prediction performance, with a root mean square error (RMSE) of 0.7081, a mean absolute error (MAE) of 0.4702, and an adjusted coefficient of determination (Adj.R²) of 0.6400. …”
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A Review of Artificial Intelligence and Deep Learning Approaches for Resource Management in Smart Buildings by Bibars Amangeldy, Timur Imankulov, Nurdaulet Tasmurzayev, Gulmira Dikhanbayeva, Yedil Nurakhov

“…This review shows that AI-driven controllers—especially deep-reinforcement-learning agents—deliver median energy savings of 18–35% for HVAC and other major loads, consistently outperforming rule-based and model-predictive baselines. …”
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Automated experimental complex on the platform of modern ASCME by Omorov Turatbek, Asiev Abai, Osmonova Rima, Takyrbashev Beishenaly, Imanakunova Zgenishkul, Suerkulov Manas

“…The complex includes a physical model of the distribution network and the main functional elements of modern automated control and accounting systems for electricity (ASCAE), such as a data concentrator, a computer server, single-phase and three-phase electricity meters and a telecommunications module for transmitting and receiving data. …”
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RETRACTED ARTICLE: Prioritizing customer and technical requirements for microgrid battery integration via a house of quality-driven decision-making approach by Hasan Dinçer, Serhat Yüksel, Serkan Eti, Yaşar Gökalp, Alexey Mikhaylov, Jaehyung An

“…It is identified that the proposed model generates similar findings with the previous ones. …”
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Analysis of automated surface roughness parameter support systems based on dynamic monitoring by M. R. Gimadeev, A. A. Li

“…Methods of surface quality control and ways to provide amplitude parameters of roughness, based on research data and field experiments, were considered. …”
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MACHINE LEARNING-BASED CLASSIFICATION OF HBV AND HCV-RELATED HEPATOCELLULAR CARCINOMA USING GENOMIC BIOMARKERS by Sami Akbulut, Zeynep Küçükakçalı, Cemil Çolak

“…Material and Methods: This case-control study considered the open-access gene expression data of patients with HBV-related HCC and HCV-related HCC. …”
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Hand–Eye Separation-Based First-Frame Positioning and Follower Tracking Method for Perforating Robotic Arm by Handuo Zhang, Jun Guo, Chunyan Xu, Bin Zhang

“…Additionally, the computational complexity of high-precision detection models limits deployment on resource-constrained edge devices, such as industrial controllers. …”
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Machine Learning Reconstruction of Wyrtki Jet Seasonal Variability in the Equatorial Indian Ocean by Dandan Li, Shaojun Zheng, Chenyu Zheng, Lingling Xie, Li Yan

“…The proposed multi-feature integrated modeling framework delivers a high spatiotemporal resolution analytical tool for tropical Indian Ocean circulation dynamics research, while simultaneously establishing critical data infrastructure to decode monsoon current coupling mechanisms, advancing early warning systems for extreme climatic events, and optimizing regional marine resource governance.…”
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Research on Combustion State System Diagnosis Based on Voiceprint Technology by Jidong Yan, Yuan Wang, Liansuo An, Guoqing Shen

“…In summary, the combustion state diagnosis system based on CNN model combined with acoustic features has optimal performance, and the combination of step index P and frequency-domain monitoring in the flameback diagnosis can improve the accuracy of combustion state identification and safety control level, which provides an important theoretical basis and practical reference in the field of combustion state diagnosis and is of profound significance to ensure the safe and efficient operation of the combustion process.…”
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Research on the Impact of Digital-Realistic Integration to Promote Sustainable Development of Enterprises: Based on the Perspective of Technology Bias by Haonan Chen, Xiaoning Cui, Zhi Li

“…Furthermore, through a lens of heterogeneity, enterprises grappling with poor revenue status, technological backwardness, inadequate internal control, and non-compliance with the SDG policy may encounter challenges in executing digital-realistic fusion. …”
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