Evolving plasma sensors for future measurements of Earth’s magnetospheric cold plasma by Justin H. Lee, Joseph F. Fennell, Colby L. Lemon, William R. Crain, Susan H. Crain, Spencer Bell, Geoffrey A. Maul, Julian R. Lohser

“…This hurdle to cold plasma science progress spans decades, root cause linked to space system and space environment interactions that compromise the conditions for acquiring cold plasma measurements. …”
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A Type‐3 Fuzzy‐Based Model Predictive Control Approach for Management of Constant Energy by Man‐Wen Tian, Lixing Zhu, Mohammad Hosein Sabzalian, Jafar Tavoosi, Amirhosein Khosravi Sarvenoee, Pierpaolo D'Urso, Ebrahim Ghaderpour, Ardashir Mohammadzadeh

“…Even in the face of load and PV generation fluctuations, this method aims to regulate the nonlinearity of the CPL and preserve system stability across a broad operating range. A new learning scheme based on square root cubature Kalman filter is developed for online deep learning of identified T3‐FLS model. …”
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Small-Signal Stability Analysis of DC Microgrids by Alamgir Hossain, Michael Negnevitsky, Xiaolin Wang, Evan Franklin, Waqas Hassan, Md. Alamgir Hossain, Evan Gray, Pooyan Alinaghi Hosseinabadi

“…This leads to unsatisfactory performance in systems where multiple input variables are each subject to high levels of temporal variability, such as in DC microgrids (MGs) with renewable sources of generation. …”
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Hybrid extended Kalman filter with Newton Raphson method for lifetime prediction of lithium-ion batteries by Hend M. Fahmy, Hany M. Hasanien, Mohammed Alharbi, Haoran Ji

“…The precise prediction of LIB lifetime can help in producing new batteries, better use and operation of batteries. It is worthy for noting here that the LIB is a heavy nonlinear system suffering from battery fading, degradation, uncertainty and variability of operating conditions. …”
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Streamlining Chemistry Learning Process: Applying Lean Methodologies to Minimize Waste in High School Education by Astuti Fatma Hermining, Sholihah Gustania Eka Putri

“…By focusing on maximizing value and eliminating waste, these principles promote a more efficient and effective educational system that can adapt to the evolving needs of students and society. …”
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Comparative experimental study of different bearings vibration using FFT and statistical feature extraction by Wafa Abd Soud, Baqer Ihsan A.

“…From experimental results, it was noticed that the deep groove ball bearing gives the lowest amplitude of vibration among all two bearings when the system is without loading effect, whereas the cylindrical roller bearing gives the least amplitude under loading operating conditions; finally, the radial spherical plain bearing was operated at its best at high rotational speeds.…”
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RESEARCH ON INCREASING WORK EFFICIENCY IN THE MECHANISATION OF GERMINATION BED PREPARATION WORKS by Anișoara DUMA COPCEA, Nicoleta MATEOC-SÎRB, Casiana MIHUȚ, Lucian NIȚĂ, Simona NIȚĂ, Teodor MATEOC, Adalbert OKROS, Natalia MOCANU

“…Soil works have been an integral part of agriculture since the beginnings of farming and they have served several important goals: the preparation of the germination bed, the reduction of soil compaction to increase aeration and allow the root system to develop optimally, the reduction of weeding, the incorporation of fertilizers and amendments, and the management of plant debris. …”
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Evaluation of machine learning techniques for real-time prediction of implanted lower limb mechanics by Chase Maag, Clare K. Fitzpatrick, Paul J. Rullkoetter

“…Compared to traditional FE or rigid body dynamics models, these predictive models offered significantly faster prediction speeds, enabling near-instantaneous insights into the TKR system’s performance. The small size of the predictive models makes them suitable for deployment on edge devices potentially used in operating rooms.DiscussionThese findings suggest that real-time biomechanical prediction using biLSTM models has the potential to provide valuable feedback for surgeons during TKR surgery. …”
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Temperature Prediction and Fault Warning of High-Speed Shaft of Wind Turbine Gearbox Based on Hybrid Deep Learning Model by Min Zhang, Jijie Wei, Zhenli Sui, Kun Xu, Wenyong Yuan

“…Gearbox failure represents one of the most time-consuming maintenance challenges in wind turbine operations. Abnormal temperature variations in the gearbox high-speed shaft (GHSS) serve as reliable indicators of potential faults. …”
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Insight mechanism of ANN model for denitrification in spouted bed bioreactor by Keshava Joshi, Lokeshwari Navalgund, Nabisab Mujawar Mubarak, Vinayaka B. Shet

“…Developing a theoretical model for this reactor requires an understanding of multiple interrelated parameters, many of which may vary under different operating conditions. Given the inherent nonlinearities of the system, such modelling can be both complex and resource-intensive. …”
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Application of Satellite Image Processing Methods for Hydrocarbon Field Search by R. V. Fiodоrtsev, A. R. Silie Cuenca, D. A. Kozhevnikov, V. M. Medina, R. Delgado

“…An analysis of the vegetation growing in the study area of the Puerto Kumarebo settlement showed that the best indicator of the presence of hydrocarbons in the soil is Prosopis juliflora – CUJI with a deep root system of up to 50 m, growing in the study area.Using ENVI software, a comparative evaluation of the efficiency of photographs image processing was carried out using the normalized relative vegetation index (NDVI) and the structure-insensitive pigment index (SIPI) to detect changes in the color of green vegetation. …”
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Degradation Prediction of Proton Exchange Membrane Fuel Cell Based on Multi-Head Attention Neural Network and Transformer Model by Yikai Tang, Xing Huang, Yanju Li, Haoran Ma, Kai Zhang, Ke Song

“…Proton exchange membrane fuel cells are a clean energy technology with wide application in transportation and stationary energy systems. Due to the problem of voltage degradation under long-term dynamic loads, predicting their performance degradation trend is of great significance for extending the life of proton exchange membrane fuel cells and improving system reliability. …”
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Harmonic Calculation Based on Fission Matrix and Its Application in Power Monitoring of Gas-cooled Micro Reactor by SHEN Pengfei1, 2, ZHANG Peng1, , ZHOU Mengfei1, ZHANG Chenglong1, YUAN Yuan1, LIU Guoming1, HUO Xiaodong1, WANG Kan2

“…The development and deployment of an accurate and intelligent core online monitoring system are crucial for advancing micro nuclear reactors. …”
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Assessment of ambulance interventions; proposal of a performance measurement framework for healthcare improvement in EMS response to patient collapse by Kamran Idris, Zainab Mubeen, Zeeshan Noor Shaikh, Aswad Latif, Shaheryar Hasan, Arshia Khan

“…Abstract Background Healthcare improvement at all levels involves systematic and continuous assessment of the system’s operations, efficiency, and effectiveness to ensure quality care. …”
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Risk assessment in production of functional food products by means of RCA method by A. S. Dydykin, Yu. N. Zubarev, E. I. Logunova, Yu. A. Kuzlyakina

“…According to the results of review of the regulatory legal acts and standardization documents, the necessity has been determined to develop a methodology for risk assessment in production of functional food products and its introduction into operation for implementation of the quality control system of food products fortified with iodine. …”
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Progress in developments and applications of the HYDRUS model and associated coupling model packages by Taotao WANG, Bei ZHANG, Huihua CHEN, Jianwei HUI, Long HAO, Liang CHEN

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Community characteristics and functional diversity of the rhizosphere microorganism and endophyte from Pinus dabeshanensis by XIANG Xiaoyan1, RUAN Sirui1, ZHANG Ying2, ZHAO Feifei2, XU Weifang2*

“…The results were as follows:(1)The rhizosphere soil samples exhibited higher operational taxonomic units(OTUs)and α-diversity indices than those of the root endophyte.(2)Rhizosphere microbiota were mainly composed of microflora such as Firmicutes(genus: Listeria), Proteobacteria(genus: Acetobacter), Ascomycetes(genus: Fusarium and Chaetomium)and so on, while root endophyte were mainly composed of Firmicutes(genus: Lactobacillus and Bacillus), Ascomycetes(genus: Cladosporium), and Basidiomycetes(genus: Pleurotus and Chaetomium).(3)The functional annotation results showed that the rhizosphere microbial community was prominent in cell mobility, environmental adaptability, and amino acid metabolism, etc., while the root endophyte community was prominent in enzyme family, digestive system, and energy metabolism, etc. …”
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Bayesian Optimization-Based State-of-Charge Estimation with Temperature Drift Compensation for Lithium-Ion Batteries by Zhen-Rong Yuan, Ke-Feng Huang, Cai-Hua Xu, Jun-Chao Zou, Jun Yan

“…Experimental results demonstrate that the proposed algorithm exhibits superior estimation performance at different temperatures, including −10 °C, 0 °C, 25 °C, and 50 °C; particularly under dynamic operating conditions, the maximum error (MAX) and root mean square error (RMSE) are reduced by 51.9% and 74.5%, respectively, compared to the extended Kalman filter (EKF) and adaptive extended Kalman filter (AEKF) algorithms. …”
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INFORMATION TECHNOLOGY ADOPTION IN NIGERIAN LOCAL GOVERNMENT ADMINISTRATION; PERSPECTIVES CHALLENGES AND PROSPECTS by NASIRU SULE, KAMILU ISHAQ

“…It is however concluded that digitalized local government administration system in Nigeria will bring rapid grass root development, efficient discharge of community services, welfare and professionalism within the milieu of local government services. …”
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Recovering NDVI over lake surfaces: Initial insights from CYGNSS data enhanced by ERA-5 inputs by Yinqing Zhen, Qingyun Yan

“…However, NDVI observations using optical sensors are often affected by cloud and fog in areas with numerous water bodies, such as Taihu Lake. Sensors operating in the microwave band can effectively mitigate this issue, particularly the emerging Global Navigation Satellite System Reflectometry (GNSS-R), which offers high temporal resolution and cost-effectiveness. …”
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