Analytical Device and Prediction Method for Urine Component Concentrations by Zhe Wang, Jianbang Huang, Qimeng Chen, Yuanhua Yu, Xuan Yu, Yue Zhao, Yan Wang, Chunxiang Shi, Zizhao Zhao, Dachun Tang

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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

“…A significant issue UWSNs face is focusing on energy efficiency to extend the life of submerged sensors placed in isolated areas. …”
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Nematophagous Fungi Occurrence: Prediction Using Bioclimatic Variables by Ana Martha Cruz-Avalos, Montserrat Chagoya-Sánchez, César Andres Ángel-Sahagún, Ana Isabel Mireles-Arriaga, Griselda Maki-Díaz, René Loredo-Portales, Jesús Hernández-Ruíz

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THE CONTROLLER OF FUZZY LOGIC IN THE MANAGEMENT OF TECHNOLOGICAL PROCESSES by S. V. Shilkina, E. N. Fokina

“…Therefore, this article is devoted to the consideration of fuzzy logic controller’s application in management systems and existing research methods’ analysis in the field of intelligent control technologies for solving the problems of adaptation of applied models and algorithms to various objects and systems, particularly to the systems for maintaining the microclimate parameters of the building’s life support environment, and also to the basic parameters of increasing the economic efficiency of using the fuzzy logic controller in the control system.Conclusion. …”
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Monitoring the Dynamics of Aquatic Vegetation in a Typical Shallow Lake Using the Water Bloom Index Algorithm—A Case Study in Bao’ an Lake in the Middle Reaches of the Yangtze Rive... by Shixing Song, Xiaodong Wu, Jianjun Hou, Shuang Peng, Xiaowen Lin, Xuguang Ge, Dongming Yan, Guiying Lin

“…The results showed that (1) the VBI algorithm can accurately distinguish AV and AB of different life forms with an overall accuracy of 93% and a kappa coefficient of 0.86. (2) Macrophyte coverage decreases. …”
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Masked face image segmentation using a multilevel threshold with a hybrid fitness function by Nada AbdElFattah Ibrahim, Ehab R. Mohamed, Hanaa M. Hamza, Yousef S. Alsahafi, Khalid M. Hosny

“…EEFO is a bio-inspired metaheuristic algorithm that simulates how electric EEL forages in nature. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN OF ROADHEADER’S CUTTING HEAD BASED ON THE GA by ZHAO LiJuan, FAN JiaYi

“…In order to improve the dynamic reliability of the roadheader,the roadheader’s rigid-flexible coupled model was established based on virtual prototyp,dynamic reliability analysis was done on the rotary table of different structural parameters,evaluation function was established based on mechanical optimization design theory,the function’s design variables was half cone angle,helix Angle and cutting line spacing, the function’s objective function was the minimization of maximum equivalent stress as the objective function.The cutting head’s optimal structural parameters was obtained by genetic algorithm.Based on the cutting productivity and rotary table equivalent stress, the optimal yawing speed was obtained by optimized multi-objective.The results shows that after two optimizations,rotary table maximum stress is decreased 18.495 MPa,the fatigue life is improved from 3.067 E4 to 3.326 E6,productivity is improved 18.6 t/h,prediction error is less than 1.3%,meet the design requirement.This method provides data support for the structure and kinematic parameters of cutting head,provides a new method for the optimization design of heavy complicated mechanical equipment.…”
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Vibration control in buildings under seismic excitation using optimized tuned mass dampers by Francisco da Silva Brandão, Letícia Fleck Fadel Miguel

“…By a metaheuristic optimization algorithm, the parameters and positions of the devices are obtained. …”
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Optimization of Composite Sandwich Structures: A Review by Muhammad Ali Sadiq, György Kovács

“…Various optimization procedures, single- and multi-objective algorithms, Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), and Machine Learning (ML)-based optimization frameworks, as well as Finite Element (FE)-based numerical simulations, are discussed in detail. …”
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Treatment in patients with osteoarthritis at different sites: Place of slow-acting drugs by N. V. Chichasova, G. R. Imametdinоva

“…The main goal of osteoarthritis (OA) treatment is to perform rational analgesic and anti-inflammatory therapy, to slow down the progression of the disease, and to preserve quality of life in patients. The performance of analgesic therapy in the elderly is impeded by the presence of a concomitant disease, primarily that of the cardiovascular system and gastrointestinal tract. …”
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Advanced Adaptive Rule-Based Energy Management for Hybrid Energy Storage Systems (HESSs) to Enhance the Driving Range of Electric Vehicles by Chew Kuew Wai, Taha Sadeq, Lee Cheun Hau

“…This study proposes a new energy management strategy for the HESS, an advanced adaptive rule-based algorithm. The results of the standard rule-based and adaptive rule-based algorithms are used to verify the proposed control algorithm. …”
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Comparing an Artificial Intelligence Planner with Traditional Optimization Methods: A Case Study in the Dairy Industry by Felipe Martins Müller, Vanessa Andréia Schneider, Olinto Cesar Bassi de Araujo, Claudio Roberto Scheer Júnior, Guilherme Lopes Weis

“…Finally, all algorithms, models, and results are available on GitHub, aiming to foster further research and enhance operational efficiency in the dairy sector through optimization.…”
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Bayesian Network-Based Landslide Susceptibility Safe Route Assessment in the Face of Uncertain Knowledge and Various Information by Xinyu Gao, Bo Wang, Wen Dai, Yuanmin Liu

“…Landslides are major natural hazards that pose significant threats to life, property, and economic stability, particularly in vulnerable regions such as China. …”
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On the Use of Image Analysis for Hematocrit Evaluation in Dried Blood Spots by Chrysa Daousani, Nađa Kostić, Anđelija Malenović, Milena Rmandić, Yannis Dotsikas

“…Dried blood spots (DBSs) are formed by collecting a small sample of blood on specialized filter paper and allowing it to dry naturally. Various domains of life sciences and drug research extensively use DBSs as a sampling technique. …”
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Association between the (neutrophil + monocyte)/albumin ratio and all-cause mortality in sepsis patients: a retrospective cohort study and predictive model establishment according... by Lulu Liu, Qian Ma, Guangzan Yu, Xuhou Ji, Hua He

“…Abstract Introduction Sepsis is a life-threatening condition characterized by widespread inflammatory response syndrome in the body resulting from infection. …”
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Implementing a transmural model of early palliative care in advanced dementia: the use of a hybrid effectiveness-implementation study design by Allyn Hum, Palvinder Kaur, Wen Yang Goh, Riyin Tay, Han Yee Neo, Mervyn Yong Hwang Koh, Noorhazlina Binte Ali, Wee Shiong Lim, Yu-Ling Jackie Tan, Huei Yaw Wu, Palvannan Kannapiran, Hwee Teng Robyn Tan, Yan Sun, Chin Ee Ong, Ravinder Singh Sachdev, Zhi Jun Low, Lee Hung Tey, Woan Shin Tan, Yew Yoong Ding

“…Aim The aim of this study is to implement a transmural model of care in a tertiary care setting where patients living with advanced dementia (PLAD) at risk of deterioration in one year are identified early to receive tailored palliative care interventions using a predictive algorithm. Methods/Design The updated medical research council (MRC) framework for complex interventions is used to guide the development and implementation of the transmural model which incorporates a predictive algorithm in clinical practice, with interventions tailored for at risk PLAD both within, and beyond the tertiary care setting. …”
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Modern approaches for management patients with craniofacial tumors (literature review) by A. S. Dikarev, S. A. Vartanyan, A. A. Martirosyan

“…Craniofacial approaches sufficiently adhere to oncological principles and allow for the removal of even extensive tumors which greatly improve immediate and long-term outcomes, reliably enhancing quality of life, which is the most important task in the surgery of malignant skull base tumors. …”
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Enhanced bearing health indicator extraction using slope adaptive signal decomposition for predictive maintenance by Dev Bhanushali, Pooja Kamat, Harsh Dhiman

“…This study introduces the Slope Adaptive Signal Decomposition (SASD) algorithm, a novel method for extracting enhanced intrinsic machine health indicators from vibration data. …”
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Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree... by Idris Zubairu Sadiq, Fatima Sadiq Abubakar, Muhammad Auwal Saliu, Babangida Sanusi katsayal, Aliyu Salihu, Aliyu Muhammad

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Lifetime Prediction Analysis of Proton Exchange Membrane Fuel Cells Based on Empirical Mode Decomposition—Temporal Convolutional Network by Chao Zheng, Changqing Du, Jiaming Zhang, Yiming Zhang, Jun Shen, Jiaxin Huang

“…Accurate assessment of remaining useful life (RUL) is essential for enhancing longevity. …”
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