Research Trends in the Application of Problem Based Learning Model in chemistry learning in Indonesia: A Systematic Literature Review by Muhammad Habib Ash Shiddiqi, Dyah Purwaningsih, Elma Pujiana

“… This study aims to analyze and map research trends on the application of the Problem-Based Learning (PBL) model in chemistry education in Indonesia using the systematic literature review (SLR) method. The study involved secondary data sourced from the SINTA database for publications between 2015 and 2024. …”
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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…Thus, this paper utilizes a convex solution method based on integer linear programming to effectively plan the expansion of the distribution network considering the availability of EV charging stations, compensators, substations, resources, and new lines. …”
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A Bayesian Hierarchical Model for Estimation of Abundance and Spatial Density of Aedes aegypti. by Daniel A M Villela, Claudia T Codeço, Felipe Figueiredo, Gabriela A Garcia, Rafael Maciel-de-Freitas, Claudio J Struchiner

“…The hierarchical model also performed better than the commonly used Fisher-Ford's method, when using simulated data. The proposed model provides a formal treatment of the sources of uncertainty associated with the estimation of mosquito abundance imposed by the sampling design. …”
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Mother's Knowledge Levels on Baby Massage for 0-12 Months Old Babies at PMB Ni Kadek Kurniati, A.Md., Pemogan South Denpasar by Made Pradnyawati Chania, Kadek Lisanita Dewi Swantari, Ni Wayan Sukma Adnyani

“…This study used a descriptive method with a cross sectional design. The samples were 30 mothers who had babies aged 0-12 months who met the inclusion criteria. …”
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Management of biofuel production in Ukraine: the role of accounting for achieving sustainable development by I.V. Zamula, V.V. Travin, O.D. Yurkivska

“…Global biofuel production is growing rapidly due to the demand for alternative energy sources and the desire to reduce dependence on fossil fuels. …”
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CLEAR: Multimodal Human Activity Recognition via Contrastive Learning Based Feature Extraction Refinement by Mingming Cao, Jie Wan, Xiang Gu

“…Relying solely on existing labeled data may not adequately address the challenge of ensuring the model’s generalization ability to new data. The ’CLEAR’ method is designed to improve the accuracy of multimodal human activity recognition. …”
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SUSPECTED MEASLES AND IMMUNIZATION TRENDS BEFORE AND DURING COVID-19 IN EAST JAVA, INDONESIA by Munif Arifin, Meilinda Alya' Putri Haryanik, Irma Prasetyowati

“…Purpose: This study aims to analyze measles suspects' epidemiological characteristics before and during the COVID-19 pandemic. Method: This study used a cross-sectional approach. …”
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Adaptive hydrogen fuel cell vehicle scheduling strategy based on traffic state assessment in power-transportation coupled networks by Yizhen Huang, Haiteng Han, Zhinong Wei, Bei Yang, Chuanshen Wu, Yizhou Zhou, Guoqiang Sun

“…An adaptive hydrogen energy management method is employed for fuel cell vehicles to optimize the coupling between the transportation network and the power system. …”
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Machine learning-based risk prediction model for pertussis in children: a multicenter retrospective study by Juan Xie, Run-wei Ma, Yu-jing Feng, Yuan Qiao, Hong-yan Zhu, Xing-ping Tao, Wen-juan Chen, Cong-yun Liu, Tan Li, Kai Liu, Li-ming Cheng

“…Therefore, this study aims to further optimize and expand the risk assessment tool to more efficiently identify high-risk individuals and compensate for the shortcomings of existing diagnostic methods. …”
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A Systematic Review of Mechanical Pretreatment Techniques of Wood Biomass for Bioenergy by Giorgia Di Domenico, Elisa Cioccolo, Leonardo Bianchini, Rachele Venanzi, Andrea Colantoni, Rodolfo Picchio, Luca Cozzolino, Valerio Di Stefano

“…This research provides a comprehensive review of current mechanical techniques, detailing their operational settings and performance metrics while also offering suggestions for optimizing biomass conversion processes. By promoting the use of mechanical pretreatment in biofuel production systems, the findings align with the principles of a circular economy and contribute to the development of greener energy sources.…”
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Multi-User Activity Recognition Using Plot Images Based on Ambiental Sensors by Anca Roxana Alexan, Alexandru Iulian Alexan, Stefan Oniga

“…The neural network was optimized by increasing the deconvolutional layers and adding the AdamW optimizer. …”
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Predictions of Multilevel Linguistic Features to Readability of Hong Kong Primary School Textbooks: A Machine Learning Based Exploration by Zhengye Xu, Yixun Li, Duo Liu

“…It is also the first readability formula developed in Hong Kong. Method: The corpus comprised 723 texts from 72 Chinese language arts textbooks used in public primary schools. …”
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Construction of a Wilms tumor risk model based on machine learning and identification of cuproptosis-related clusters by Jingru Huang, Yong Li, Xiaotan Pan, Jixiu Wei, Qiongqian Xu, Yin Zheng, Peng Chen, Jiabo Chen

“…This research focuses on examining the link between WT and Cuproptosis-related genes (CRGs), with the goal of developing a predictive model for WT. Methods Four gene expression datasets related to WT were sourced from the GEO database. …”
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Cultivation of the giant freshwater prawn (Macrobrachium rosenbergii De Man, 1879) in Ukraine and worldwide: a review by K. Voznyuk, V. Bekh

“…Particular attention is given to identifying optimal cultivation methods, environmental requirements for rearing, and the potential for adapting existing international technologies to local conditions. …”
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Boosting Stochasticity in Ovonic Threshold Switches Through Cryogenic First Firing for Fast and Reliable Entropy Generation by Dongmin Kim, Jangseop Lee, Yoori Seo, Ohhyuk Kwon, Pendar Azaripour Masouleh, Jisung Lee, Joonhyun Kwon, Chul‐Heung Kim, Hyunsang Hwang

“…This study demonstrates the potential of optimizing OTS devices to satisfy the increasing demand for fast and energy‐efficient entropy sources in advanced cryptographic systems.…”
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Regional differences and dynamic evolution in the resilience of public-private partnership projects: Evidence from the China by Jiangtao Chi, Yi Huang, Xin Li, Jiaying Li, Zihan Xia, Feiwu Ren, Xiangyun Xu, Jinbo Song, Yanwei Wang

“…In the context of high-quality development and in the face of uncertainties and risks from economic, social and political sources, we aim to understand the resilience of public-private partnership projects in megaprojects, and to improve their ability to effectively manage adversity and optimize resource allocation. …”
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ANALYSIS OF HIGH RISK FACTORS FOR NON-COMMUNICABLE DISEASE, STROKE IN THE SIDOARJO DISTRICT HEALTH SERVICE by Luluk Widarti, Muhammad Afif Hilmi Masyfahani, Dony Sulystiono, Kusmini Suprihatin, Hotmaida Siagian, Siti Maemonah

“…The burden caused by stroke is mainly caused by disability (a public health problem) which also creates a high cost burden for the sufferer, their family, society, and the government. Methods: The type of research in this research is a case study using quantitative descriptive design methods. …”
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Technical and economic analysis of the use of mobile charging stations for electric vehicles in the Republic of Tajikistan by  Abdullo Mamadamon

“…To conduct a study to determine the optimal option for mobile charging stations, a comparative analysis method was used. …”
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ORGANIZATION-PUBLIC RELATIONSHIPS OLEH BADAN NARKOTIKA NASIONAL PROVINSI DAERAH ISTIMEWA YOGYAKARTA PADA REMAJA by Resmamita Resmamita, Pratiwi Wahyu Widiarti

“…This research uses a qualitative method with a descriptive approach. The object of research is BNNP DIY with research subjects namely Public Relations team and Pencegahan dan Pemberdayaan Masyarakat (P2M) section, which was determined by purposive sampling technique. …”
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Implantable bio-chip for visible and controllable microwave-induced transcranial acoustic generation by Weian Chao, Ruyi Wen, Yubin Gong, Qiang Liu, Lei Xi

“…The results of in vitro and in vivo experiments show that the MI-tAG can manipulate ultrasound sources and visibly locate them in real time. This study provides a potential innovative approach for future ultrasound neuromodulation, inspiring the development of more useful methods to advance brain research. …”
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