Analysis and modelling of DC fast-charging profiles of heterogeneous EVs by Toni Simolin, Pertti Järventausta, Mario Paolone

“…This paper aims to fill this gap by proposing a fast-charging profile model based on the analysis of real-world level 3 charging measurements available open source. The proposed model is compared to existing ones proposed in the literature. …”
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Demand, utilization, and supply of community smart senior care services for older people in China by Ruobing Fa, Shengxuan Jin, Peng Fan, Fengyuan Tang, Qian Jin, Changqing Wang

“…We also analyzed the imbalance between supply and demand for smart senior care services and explored the factors influencing it, thereby providing a reference for optimizing smart senior services. Methods We conducted a cross-sectional study from January to March 2023 and analyzed 1037 valid questionnaires. …”
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Predictive Modeling of Acute Respiratory Distress Syndrome Using Machine Learning: Systematic Review and Meta-Analysis by Jinxi Yang, Siyao Zeng, Shanpeng Cui, Junbo Zheng, Hongliang Wang

“…Furthermore, sensitivity, subgroup, and meta-regression analyses were used to explore the sources of heterogeneity more comprehensively. …”
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Plant Dominant Low-Protein Diet, Nutritional Status (Phase Angle) and Progression of Renal Failure: Case-Report Study by Danijela Ristic-Medic, Snjezana Petrovic, Biljana Pokimica, Marija Paunovic, Vesna Vucic

“…Several observational studies have shown that compared with protein from plant sources, animal protein is associated with an increased risk of end-stage chronic kidney disease (CKD). …”
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The effectiveness of calcium silicate in preventing ice-ice disease and production performance of Kappaphycus alvarezii by Ayu Puspa Wirantari, Kukuh Nirmala, Eddy Supriyono, Hamim Hamim

“…This study aims to evaluate the effectiveness of calcium silicate (CaSiO3) dosing as a mineral source for the prevention of ice-ice disease and the growth of K. alvarezii seaweed. …”
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Thermal Simulation and Experimental Study of QSFP＋ Optical Modules by MAO Jiandong, XIAO Guohua, ZHENG Zijun

“…【Methods】The article adopts Flotherm simulation analysis to establish the numerical wind tunnel model of the optical module. …”
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Geometric Deep Learning for Computer-Aided Design: A Survey by Negar Heidari, Alexandros Iosifidis

“…By harnessing the power of machine learning-based methods, CAD designers can optimize their workflows, save time and effort while making better informed decisions, and create designs that are both innovative and practical. …”
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Determination of a rational shape of a bulldozer blade considering the soil background of the Republic of Kazakhstan by N. T. Surashov, R. B. Asmatulaev, D. N. Tolymbek

“…The optimal parameters of the blade with the maximum set of the drawing prism before the blade are determined. …”
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Implementasi pembelajaran muatan lokal bahasa Jawa kurikulum merdeka pada sekolah dasar di daerah pedesaan by Achmad Supriyanto Ryan, Nur Hanifah Insani

“…In analyzing the data, the Miles and Huberman model was used, while the validity of the data was tested using triangulation of methods and sources. The results indicate that the implementation of Javanese language learning in the merdeka curriculum has not run optimally, both in terms of planning, implementation, and assessment. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…The increasing adoption of renewable energy sources and the emergence of distributed generation have significantly transformed the traditional energy landscape, leading to the rise of local energy markets. …”
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Exploring the Potential of Green Microalgae-Based Phycoremediation Treated Wastewater for Sustainable Concrete Production by T. Q. K. Lam, K. S. Sreekeshava, C. Bhargavi, C. R. Ganesh, N. S. Ambale, T. M. D. Do

“…The research aims to optimize microalgae growth conditions, set up nutrient-rich growth chambers, develop biomass separation methods, and assess the effects of microalgae-treated wastewater on concrete. …”
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Classification of Oil Loss Levels in Palm Oil Processing Using Near-Infrared Spectroscopy with Machine Learning by Muhamad Ilham Fauzan, Jaka Adi Baskara, Wahyuningdiah Trisari Harsanti Putri, Quintin Kurnia Dikara

“…The results of the study indicate that applying machine learning methods to FOSS-NIRS data can enhance the accuracy of oil loss classification, making it a potential solution for broader implementation in the palm oil processing industry to optimize production efficiency.   …”
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Advancements and Prospects in Algal Biofuel Production: A Comprehensive Review by Halina Falfushynska

“…Despite the challenges associated with the high costs of cultivation and processing, advances in biotechnological methods and process engineering promise to overcome these barriers. …”
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Study on the extraction and stability of total flavonoids from Millettia speciosa Champ. by Junhai Liu, Xiaosha Guo, Tengteng Yang, Xiaoli Wang, Yinku Liang

“…Millettia speciosa Champ, a member of the Leguminosae family and the genus Millettia, is a rich source of total flavonoids. Investigating the extraction methods and stability of total flavonoids from Millettia speciosa Champ using ultrasound-assisted extraction is crucial for enhancing its medicinal value and advancing the modernization of traditional Chinese medicine. …”
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Targeting Antibodies to Carbon Nanotube Field Effect Transistors by Pyrene Hydrazide Modification of Heavy Chain Carbohydrates by Steingrimur Stefansson, Hena H. Kwon, Saeyoung Nate Ahn

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Becoming a Champion in Exams: A Case Study of Top Performers in Türkiye’s HEIE by Abdullah Atli, Murat Canpolat, Yeliz Yazıcı Demir

“…Through in-depth interviews, we explore four key themes that contribute to their success: personality traits, study strategies, educational background, and sources of support. Our findings offer a nuanced understanding of the factors driving exceptional performance in high-stakes exams, providing valuable implications for educators, policymakers, and students seeking to optimize their preparation for similar competitive assessments.…”
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Analysis of AC winding loss of permanent magnet synchronous traction motor with high power by LI Xiangcheng, WANG Yingchun, NI Wei, WU Nan

“…AC winding loss is the sum of DC winding loss and eddy current loss. The sources, calculation methods and influencing factors of AC winding loss of PMSTM with high frequency and power were studied. …”
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Experience of using telemedicine technologies in healthcare systems of foreign countries and the Russian Federation: systematic review by O. A. Volkova, S. S. Budarin, E. V. Smirnova, Yu. V. Elbek

“…Today, the development and widespread use of digital technologies in medicine is considered as one of the most promising mechanisms for optimizing costs and improving the efficiency of healthcare and the quality of life of the aging society.Objective: to study the experience of using telemedicine technologies for providing medical care in the health systems of different countries, including the Russian Federation.Material and methods. …”
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Social Factors Influencing Healthcare Expenditures: A Machine Learning Perspective on Australia’s Fiscal Challenges by Wei Gu, Zhantian Zhang, Ou Liu

“…The results reveal that funding sources, public hospital services, and geographic disparities are the primary predictors of expenditure trends. …”
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Towards Sustainable Campus Development: A Case Study of Klaipeda University by Anne Olga, Mikalauskas Ignas

“…This involves integrating renewable energy sources and smart building systems to improve resource efficiency and encourage sustainable living practices. …”
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