Integrated Bioinformatics and Experimental Validation Reveal Macrophage Polarization-Related Biomarkers for Osteoarthritis Diagnosis by He Q, Liu L, Hu X, Lin L, Song Z, Xia Y, Lin Q, Wei J, Li S

“…Additionally, various analyses, including immune infiltration, gene set enrichment analysis, competing endogenous RNA (ceRNA) construction, and drug prediction, were conducted. …”
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Fixed-dose combination antihypertensive medications, adherence, and clinical outcomes: A population-based retrospective cohort study. by Amol A Verma, Wayne Khuu, Mina Tadrous, Tara Gomes, Muhammad M Mamdani

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Genetic fuzzy system for prediction of respiratory rate of chicks subject to thermal challenges by Patrícia F. P. Ferraz, Tadayuki Yanagi Junior, Yamid F. Hernandez-Julio, Gabriel A. e S. Ferraz, Maria A. J. G. Silva, Flavio A. Damasceno

“…ABSTRACT The aim of this study was to estimate and compare the respiratory rate (breath min-1) of broiler chicks subjected to different heat intensities and exposure durations for the first week of life using a Fuzzy Inference System and a Genetic Fuzzy Rule Based System. The experiment was conducted in four environmentally controlled wind tunnels and using 210 chicks. …”
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External reference pricing for medicines in Ukraine: latest trends by L. I. Kucherenko, I. V. Nizhenkovska, N. V. Sholoiko, L. O. Hala, N. O. Datsiuk

“…Approximately 58 % of medicines have a set price through ERP, 24 % are regulated by internal reference pricing (IRP), and nearly 18 % have declared prices. …”
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Design and implementation of three-phases energy storage system using DSP F28379D for laboratory research by Hoai Phong Nguyen, Thuan Thanh Nguyen, Minh Phuong Le, Minh Tan Tran, Cong Duy Pham

“…The current and voltage sensing circuits use Hall-effect sensors to isolate the power circuit from the control circuit. A unique aspect of this research is the modular design, allowing for quick and easy upgrades and changes to the configuration and power capacity, facilitating the testing of control algorithms for the storage system. …”
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Analysis of Drill String Whirling Characteristics Based on Near-Bit Measurement Data by Zhang Tao, Yang Zhenpeng, Li Jun, Wang Miaorui, Wang Mengfan, Guo Zixian

“…To further understand the vibration characteristics of drill string when whirling motion occurs in wellbore during drilling process， first， the near-bit checking tool was used to acquire the vibration acceleration during rotary drilling of a deep well， and then the error control algorithm was used to conduct secondary integration for the vibration acceleration signal in the frequency domain， so as to obtain the displacement signal of vibration. …”
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An artificial intelligence model integrating culprit lesion diagnosis and risk assessment for acute coronary syndromeResearch in context by Peng Peng Xu, Bin Hu, Fan Zhou, Zhi Han Xu, Qian Chen, Tong Yuan Liu, Bang Jun Guo, Chang Sheng Zhou, Xin Wei Tao, Hong Yan Qiao, Jia Ni Zou, Xiang Ming Fang, Wen Cai Huang, Long Jiang Zhang

“…In the derivation cohort, the random forest (RF) model demonstrated the best diagnostic performance and robustness among the five ML algorithms for detecting ACS culprit lesions, achieving an area under the receiver operating characteristic curve (AUC) of 0.85 across the training (95% confidence interval [Cl]: 0.82–0.89), validation (95% Cl: 0.80–0.90), and test sets (95% Cl: 0.78–0.92). …”
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A LiDAR-Driven Approach for Crop Row Detection and Navigation Line Extraction in Soybean–Maize Intercropping Systems by Mingxiong Ou, Rui Ye, Yunfei Wang, Yaoyao Gu, Ming Wang, Xiang Dong, Weidong Jia

“…The results demonstrate that the proposed method exhibits strong adaptability and robustness across various environments, achieving over 80% accuracy in navigation line extraction, with up to 90% in low-occlusion settings. The average navigation angle was controlled within 0.28°, with the minimum reaching 0.17°, and the average processing time remained below 75.62 ms. …”
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A PSO-XGBoost Model for Predicting the Compressive Strength of Cement–Soil Mixing Pile Considering Field Environment Simulation by Jiagui Xiong, Yangqing Gong, Xianghua Liu, Yan Li, Liangjie Chen, Cheng Liao, Chaochao Zhang

“…Utilizing data mining on 84 sets of experimental data with various preparation parameter combinations, a prediction model for the as-formed strength of CSM Pile was developed based on the Particle Swarm Optimization-Extreme Gradient Boosting (PSO-XGBoost) algorithm. …”
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Interpersonal counselling for adolescent depression delivered by youth mental health workers without core professional training: the ICALM feasibility RCT by Jon Wilson, Viktoria Cestaro, Eirini Charami-Roupa, Timothy Clarke, Aoife Dunne, Brioney Gee, Sharon Jarrett, Thando Katangwe-Chigamba, Andrew Laphan, Susie McIvor, Richard Meiser-Stedman, Jamie Murdoch, Thomas Rhodes, Carys Seeley, Lee Shepstone, David Turner, Paul Wilkinson

“…This study demonstrated the difficulties in conducting a randomised controlled trial in this service setting. …”
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Identification and validation of parthanatos-related genes in end-stage renal disease by Xuan Dai, Lianfang Yuan

“…Clinical validation of biomarker expression was conducted using reverse transcription-quantitative polymerase chain reaction (RT-qPCR).Results The 65 candidate genes were refined by PPI network, screened by two algorithms, and then determined by ROC analysis to obtain HBM and MYL4 as biomarkers. …”
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Stochastic Potential Game-Based Target Tracking and Encirclement Approach for Multiple Unmanned Aerial Vehicles System by Kejie Yang, Ming Zhu, Xiao Guo, Yifei Zhang, Yuting Zhou

“…Utilizing fully distributed intelligent control algorithms has enabled the gradual adoption of the multiple unmanned aerial vehicles system for executing Target Tracking and Encirclement missions in industrial and civil applications. …”
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Key geological and engineering technologies and research directions for shale gas exploration and development in western Hubei Province, China by Guangyou Zhu, Jineng Jin, Qilin Xiao, Lei Wang, Guanglong Sheng, Jun Tang, Jianghui Meng, Zhiyuan Lu, Can Chen

“…Parameters with vastly different scales used in the design, such as meter-scale fracture half-length and millidarcy-scale fracture conductivity, can be co-optimized using artificial intelligence (AI) algorithms such as the genetic algorithm (GA) and the simultaneous perturbation stochastic approximation (SPSA) algorithm. …”
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A Machine Learning-Based Diagnostic Nomogram for Moyamoya Disease: The Validation of Hypoxia-Immune Gene Signatures by Cunxin Tan, Xilong Wang, Zhenyu Zhou, Yutong Liu, Shihao He, Yuanli Zhao

“…Additionally, gene set enrichment analysis was conducted, and a competitive endogenous RNA (ceRNA) network was built to predict potential therapeutic targets. …”
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Identification of novel gut microbiota-related biomarkers in cerebral hemorrhagic stroke by Fengli Ye, Huili Li, Hongying Li, Xiue Mu

“…Hub genes were screened using LASSO, RandomForest, and SVM-RFE algorithms. Validation was conducted in plasma samples from ICH patients (n=20) and controls (n < 20) by qRT-PCR, and in a collagenase-induced ICH mouse model. …”
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Enhancing Industrial Robot Arms Data Security with a Hybrid Encryption Approach by Mustafa Emre Erbil, Hilmi Cenk Bayrakçı, Merdan Özkahraman

“…The suggested encryption framework combines the strengths of Elliptic Curve Cryptography (ECC) for its efficient asymmetric encryption capabilities, ChaCha20 for its rapid and low-energy symmetric encryption, and Poly1305 for ensuring data integrity through its message authentication code (MAC) algorithm. By leveraging these technologies, the paper outlines the development and application of a secure communication protocol, implemented using Python, that guarantees the confidentiality and integrity of data shared among robot arms and between these arms and their control systems. …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…In order to lessen the infections, time-dependent control factors are also implemented. The optimality criteria are produced by applying Pontryagin’s maximal argument to prove the validity of the most effective control. …”
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Advancements in Hybrid Energy Storage Systems for Rural Electrification: A Comprehensive Case Study on Siwa Oasis in Egypt on Increasing Battery Longevity in Standalone PV Systems by Khalid Alqunun, Nehad M. Khattab, Ismail Marouani, Kamel Tlijani, Mohamed Abdelhameed Zaky, Loay Mohamed Ali El-Sayed, Ahmed Ibrahim Omar, Badr M. Alshammari, Tawfik Guesmi, Ahmed Hussain Elmetwaly, Ramy Adel Younis

“…These systems differ in topology, intricacy, and control algorithms. This research article offers a thorough assessment of the latest advancements in the field of HESS and examines various topologies that could potentially increase the longevity of Lead-acid batteries in PVPS. …”
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Detection of Defects in Polyethylene and Polyamide Flat Panels Using Airborne Ultrasound-Traditional and Machine Learning Approach by Artur Krolik, Radosław Drelich, Michał Pakuła, Dariusz Mikołajewski, Izabela Rojek

“…This combination of automation and precision significantly enhances the reliability and efficiency of quality control in industrial manufacturing settings. The achieved accuracy results, 0.9431 in classification and 0.9721 in prediction, are comparable to or better than the AI-based quality control results in other noninvasive methods of flat surface defect detection, and in the presented ultrasonic method, they are the first described in this way. …”
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Integrated Transcriptomic and Machine Learning Analysis Identifies EAF2 as a Diagnostic Biomarker and Key Pathogenic Factor in Parkinson’s Disease by Peng H, Cheng Y, Chen Q, Qin L

“…Additionally, RT-qPCR experiments were conducted to validate our findings in clinical specimens. …”
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