Application of artificial intelligence in the health management of chronic disease: bibliometric analysis by Mingxia Pan, Mingxia Pan, Rong Li, Junfan Wei, Huan Peng, Ziping Hu, Yuanfang Xiong, Na Li, Yuqin Guo, Weisheng Gu, Hanjiao Liu, Hanjiao Liu

“…BackgroundWith the rising global burden of chronic diseases, traditional health management models are encountering significant challenges. The integration of artificial intelligence (AI) into chronic disease management has enhanced patient care efficiency, optimized treatment strategies, and reduced healthcare costs, providing innovative solutions in this field. …”
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New Hyperspectral Geometry Ratio Index for Monitoring Rice Blast Disease from Leaf Scale to Canopy Scale by Qiong Zheng, Yihao Chen, Qing Xia, Yunfei Zhang, Dan Li, Hao Jiang, Chongyang Wang, Longlong Zhao, Wenjiang Huang, Yingying Dong, Chuntao Wang

“…GRVI_RB demonstrated high classification accuracy using SVM (support vector machine) and LDA (Linear Discriminant Analysis) models in leaf-scale and canopy-scale datasets from 2020 and 2021, surpassing the current vegetation indices of rice blast detection. …”
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Comparing the Potential of Near- and Mid-Infrared Spectroscopy in Determining the Freshness of Strawberry Powder from Freshly Available and Stored Strawberry by Da Wang, Wenwen Wei, Yanhua Lai, Xiangzheng Yang, Shaojia Li, Lianwen Jia, Di Wu

“…Furthermore, partial least squares regression and least squares support vector machines (LS-SVM) models were established based on NIR, MIR, and combination of NIR and MIR data with full variables or optimal variables of strawberry powder to predict the storage days of strawberries that produced the powder. …”
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EnerChain: A decentralized knowledge management framework for smart energy systems with smart manufacturing agents via blockchain technology by Mohammad Yaser Mofatteh, Ujjwal Khadka, Omid Fatahi Valilai

“…Focusing on consumption perspective, manufacturing systems can be enhanced by enabling smart machines as agents which operate with their own knowledge representation models in a shopfloor. …”
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Enhancing Fake Review Detection Using Linguistic Exaggeration, BERT Embeddings, and Fuzzy Logic by Mohammed Ennaouri, Ahmed Zellou

“…We evaluated our approach against traditional classifiers such as Support Vector Machines (SVM), Logistic Regression. Our final model demonstrated statistically significant improvements across key metrics, supported by cross-validation and hypothesis testing (p ¡ 0.01). …”
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Analysis of automated surface roughness parameter support systems based on dynamic monitoring by M. R. Gimadeev, A. A. Li

“…The optimal range of the inclination angle of the tool to the surface to be machined, at which the minimum values of the amplitude parameters of roughness were achieved, was determined. …”
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Employing artificial intelligence for optimising antibiotic dosages in sepsis on intensive care unit: a study protocol for a prospective observational study (KI.SEP) by Tim Rahmel, Michael Adamzik, Hartmuth Nowak, Lars Bergmann, Björn Koos, Martin Eisenacher, Barbara Sitek, Britta Marko, Lars Palmowski, Andrea Witowski, Katharina Rump, Julia Bandow, Patrick Günther

“…This study addresses these challenges by developing machine learning (ML)-based ASC prediction models capable of handling variable data input and encompassing diverse clinical, laboratory, microbiological and proteomic parameters without the need for daily TDM.Methods This prospective observational study is conducted in a German university hospital intensive care unit. …”
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Characterizing the Temporal Variation of Airborne Particulate Matter in an Urban Area Using Variograms by Gokul Balagopal, Lakitha Wijeratne, John Waczak, Prabuddha Hathurusinghe, Mazhar Iqbal, Rittik Patra, Adam Aker, Seth Lee, Vardhan Agnihotri, Christopher Simmons, David J. Lary

“…Using the variogram analysis results from the most polluted day, we trained machine learning models that can predict the sampling time using meteorological parameters. …”
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Crop2Cloud platform: Real-time data integration for agricultural water monitoring by Bryan Nsoh, Abia Katimbo, Kendall C. DeJonge, Weizhen Liang, Hongzhi Guo, Yufeng Ge, Derek M. Heeren, Yeyin Shi, Xin Qiao, Daran R. Rudnick, Hope Njuki Nakabuye, Birru Girma, Isa Kabenge, Joshua Wanyama

“…This study designed the Crop2Cloud (C2C) platform, a system that leverages advanced sensors using Internet of Things (IoT), edge and cloud computing techniques, and computed Water Stress Indices (WSIs) and machine learning models (i.e., fuzzy logic), to provide scalable and real-time irrigation decisions. …”
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Enhancing Antimicrobial Peptides from Frog Skin: A Rational Approach by Silvana Aguilar, Daniel Moreira, Ana Laura Pereira Lourenço, Natalia Wilke, Matías A. Crosio, Andreanne Vasconcelos, Eder Alves Barbosa, Elizabete C. I. Bispo, Felipe Saldanha-Araujo, Marcelo H. S. Ramada, Franco M. Escobar, Cristina V. Torres, José R. S. A. Leite, Mariela M. Marani

“…Conversely, dHP3-84 did not induce membrane disruption or aggregation, suggesting an intracellular mode of action. Machine learning models were effective in predicting bioactivity, as these predicted AMPs showed enhanced selectivity and potency. …”
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Non-destructive estimation of 3D residual stress for peened materials using X-ray diffraction and eigenstrain theory by Takeshi KITAZAWA, Ryohei OKUI, Yuto SANO, Masaru OGAWA

“…Residual stresses generated by machining operations affect the dimensional accuracy and fatigue strength. …”
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ResearchProgressonThermalErrorCompensationandStructuralOptimizationofHigh-SpeedMotorizedSpindle by LI Zhao long, ZHU Wen ming

“…The temperature sensor is installed and combined with the pre-established thermal compensation model to compensate and adjust the position of the tool or workpiece in real time to realize high-precision machining. …”
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Design and Numerical Simulation of a Device for Film–Soil Vibrating Conveying and Separation Based on DEM–MBD Coupling by Shilong Shen, Jiaxi Zhang, Hu Zhang, Yongxin Jiang, Xin Zhou, Yichao Wang, Xuanfeng Liu, Haichun Zhang

“…By establishing a mechanical model for the balanced conveyance of the film–soil composite, the range of conveyor chain inclination angles enabling stable transport was determined. …”
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Business Development Strategy of Beverage Powder Company by M. Zaenal Mahasin, Hartoyo, Rokhani Hasbullah

“…The last priority is addition of horeca sales representatives and procurement of fully automatic machines. Conclusion: To optimize production capacity and market share in the rapidly evolving beverage industry, company focus market penetration through infiltration of market comprises activities of promoting, discount or reduction of price, and comprehensive in distributing product. …”
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Research on auditory and olfactory regulation methods for abnormal driver emotions based on EEG signals by Bangbei Tang, Bangbei Tang, Yan Li, Yingzhang Wu, Yilun Li, Qizong Yue

“…These findings contribute valuable scientific evidence for the management of drivers’ emotions and suggest promising avenues for optimizing personalized emotional regulation strategies in the future.…”
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Ovarian Reserve: A Critical Indicator of Female Reproductive Health by Julia Ufnal, Anna Wolff, Maria Morawska, Dominika Lewandowska, Dominika Rosińska-Lewandoska, Marcelina Szewczyk, Klaudia Kożuchowska, Dawid Pilarz, Kinga Jarosz, Szymon Gruszka

“…Newly approaches, like machine learning models and AMH-based screening programs in countries like Portugal emerge. …”
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1Simulation and experimental research on multi-pass cutting of nickel-based alloy by WEDM-LS by Xin Wu, Tao Lu, Peng Zhao, Yigang Wang, Kui Zhang, Xiaoxing Chen

“…The overlapping effect of electric erosion pits was proposed to explain surface morphology formation, highlighting the complementary roles of rough and finish machining in optimizing surface quality.…”
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Wet granulation method in the technology of 6,8-dimethyl-2-piperidinomethyl-2,3-dihydrothiazolo[2,3-F]xanthine tablets, which increases the detoxifying function of the liver by A. I. Petrakov, V. V. Sheikin, S. V. Krivoshchekov, A. M. Guryev, M. V. Belousov

“…Introduction. 6,8-dimethyl-2-piperidinomethyl-2,3-dihydrothiazolo[2,3-F]xanthine is a promising substance-inducer of the monooxygenase system of hepatocytes, according to preclinical studies, increasing the detoxifying function of hepatocytes in models of acute hypobaric hypoxia, liver ischemia, unconjugated hyperbilirubinemia, toxic hepatitis. …”
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Radiomic analysis of patient and interorgan heterogeneity in response to immunotherapies and BRAF-targeted therapy in metastatic melanoma by Riyue Bao, Yana G Najjar, Diwakar Davar, John M Kirkwood, Jason John Luke, Sarah Newman, Hassane M Zarour, Afsaneh Amouzegar, Rivka R Colen, Murat Ak, Priyadarshini Mamindla, Serafettin Zenkin, Vishal Peddagangireddy, Sarah Behr, Alexandra G Tompkins, Zane N Gray, Rebekah E Dadey, Nasim Batavani, Nursima Ak, Taha Yasin Pak, Mohammadreza Amjadzadeh, Amy Goodman, Darcy L Ploucha, Curtis Tatsuoka

“…Overall and organ-specific machine-learning models were constructed to predict disease control (DC) versus progressive disease (PD) using XGBoost. 291 patients with MEL were identified, including 242 ICI (91 I+N, 151 PD-1) and 49 BRAF. 667 metastases were analyzed, including 541 ICI (236 I+N, 305 PD-1) and 126 BRAF. …”
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PHYSICAL-MATEMATICALSCIENCE MECHANICS SIMULATION CHALLENGES IN OPTIMISING THEORETICAL METAL CUTTING TASKS by Rasul V. Guseynov, Lyudmila M. Sultanova

“…The minimal processing cost model, in which the objective function is polynomial, is adopted as a criterion for the selection of optimal parameters. …”
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