Estudio energético del proceso de obtención de panela en dos variedades de Saccharum officinarum L. (caña de azúcar) en la Amazonía Ecuatoriana by Víctor González-Rivera, Michael José Albán-Galárraga, Juan González-Rivera, Irene Hidalgo-Guerrero

“…The methodology employed consisted of evaluating the energy process used in 36 panela factories in the Ecuadorian Amazon that used traditional methods with furnaces. The studyfocused on two cane varieties cultivated in the country: Puerto Rico and Limeña. …”
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The potential of biogas production and effects of alfalfa silage under the synergistic influence of Lactobacillus acidophilus and Rosa roxburghii pomace waste on the fermentation q... by Maoya Li, Jiachuhan Wang, Qiming Cheng, Zhongfu Long, Chao Chen, Yixiao Xie, Yao Lei, Yulian Chen, Yuanyuan Zhao, Xiangjiang He, Wei Yan, Zhijun Wang

“…ABSTRACT The process of ensiling serves as a dual-purpose technique, functioning as a means of preserving biomass for biogas production while serving as a biological pretreatment method with the potential for little fermentation loss. …”
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SUBSTANTIATION FOR PRINCIPLES OF AESTHETIC STOMATOLOGY by I.K. Lutskaya

“… A scope of results by global dental practice bears testimony to the fact, that there is an urgent necessity to work out and formulate the basic principles, standards and definitions of aesthetic Stomatology as a study, which in its turn ensures wide implementation of prospective patterns and methods into the healthcare system. Theoretical knowledge, received form modern literary sources, as well as scientific researches and clinical observations, performed by the author in collaboration with his colleagues, enables us to define the grounding principles for modern aesthetic Stomatology. …”
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Multi-Task Learning for Real-Time BSIM-CMG Parameter Extraction of NSFETs With Multiple Structural Variations by Seunghwan Lee, Seungjoon Eom, Jinsu Jeong, Junjong Lee, Sanguk Lee, Hyeok Yun, Yonghwan Ahn, Rock-Hyun Baek

“…To mitigate overfitting due to disparate data sources, such as Monte Carlo simulations for training data and technology computer-aided design (TCAD) simulations or hardware measurements for test data, additive noise was incorporated into the training data. …”
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Predicting Coronavirus Pandemic in Real-Time Using Machine Learning and Big Data Streaming System by Xiongwei Zhang, Hager Saleh, Eman M. G. Younis, Radhya Sahal, Abdelmgeid A. Ali

“…Sentiment analysis is a text analysis method that has gained further significance due to social networks’ emergence. …”
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Reducing Water Contamination to Ensure the Quality and Safety of Food Products by Ivetich Marco, Gorelkina Alena K.

“…The paper introduces a new method for reducing water contamination based on adsorption processes for extracting organic compounds from aqueous solutions. …”
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Atmospheric Flame Vapor Deposition of 1D and 2D Nanostructured Vanadium Pentoxide on Diverse Substrates by Kai Zhou, Lili Cai

“…By optimizing critical synthesis parameters, specifically, source temperature (840 °C) and substrate temperature (610 °C), we achieved highly crystalline, one-dimensional (1D) V₂O₅ nanorods on a variety of substrates, including silicon (Si), fluorine tin doped (FTO) glass, stainless steel, and silicon dioxide (SiO₂). …”
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Research on the Reconstruction of the Temperature Field in Two-Dimensional Steady-State Thermal Conductivity Based on Physics-Informed Neural Networks by Yufan Pan, Ke Zhang, Ji Zhang, Ning Mei

“…The primary objective is to reconstruct the temperature field and deduce unknown boundary conditions using limited labeled data sourced from conventional numerical methods. This work specifically validates the methodology using simulated data with known original conditions, rather than addressing truly unknown boundary conditions in real-world scenarios. …”
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Effectiveness of long-term cluster training and traditional resistance training in enhancing maximum strength in young adults: a systematic review and meta-analysis by Jiayue Cui, Jiayue Cui, Yin Yu, Yin Yu, Yijun Xu, Hongyu Wu

“…BackgroundIt is still unclear whether traditional resistance training (TRT) provides the best or optimal stimulation for increasing maximum strength compared to cluster training (CT).ObjectiveThis study assessed the long-term impact of cluster training on the augmentation of maximum strength in young adults through the implementation of meta-analysis and further investigation of the factors associated with training duration.MethodLiterature was searched in Web of Science, Pub Med, EBSCOhost, SPORTDiscus, and Google Scholar. …”
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Compatibility Evaluation of Photovoltaic and Hydroelectric Power Generation Potential in the Beijiang River Basin Based on Climate Resources by Ren Yifang, Zhao Yanxia, Chen Sining, Sun Qing, Li Muyuan, Zhang Yi, Liu Li

“…With the continuous expansion of green energy development, multi-energy coupled power generation systems have effectively improved resource utilization, but still face challenges related to instability and unpredictability of grid-connected power generation. In order to achieve optimal utilization of a multi-energy coupled power generation system, it is crucial to understand the capacity of climate resources and their alignment with the power production sources. …”
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Penggunaan Data Sistem Lahan Skala 1 : 50.000 untuk Pemetaan Rawan Longsor di Kabupaten Majalengka by Rastika Widiastuti, Muhammad Qabus Abid Khairullah, Mangapul Parlindungan Tambunan, Muhammad Sufwandika Wijaya

“…An overlay analysis method between land system maps and landslide occurrence data combined with geomorphological analysis is used to classify the susceptibility levels to landslides. …”
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Engineering n-Type and p-Type BiOI Nanosheets: Influence of Mannitol on Semiconductor Behavior and Photocatalytic Activity by Shuo Yang, Wenhui Li, Kaiyue Li, Ping Huang, Yuquan Zhuo, Keyan Liu, Ziwen Yang, Donglai Han

“…Photocatalytic technology holds significant promise for sustainable development and environmental protection due to its ability to utilize renewable energy sources and degrade pollutants efficiently. In this study, BiOI nanosheets (NSs) were synthesized using a simple water bath method with varying amounts of mannitol and reaction temperatures to investigate their structural, morphological, photoelectronic, and photocatalytic properties. …”
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SmartScanPCOS: A feature-driven approach to cutting-edge prediction of Polycystic Ovary Syndrome using Machine Learning and Explainable Artificial Intelligence by Umaa Mahesswari G, Uma Maheswari P

“…Moreover, to identify essential features for PCOS prediction three feature selection methods: Threshold-driven Optimized Principal Component Analysis (TOPCA), Optimized Salp Swarm (OSSM), and Threshold-driven Optimized Mutual Information Method (TOMIM) were fine-tuned through thresholding and improvisation to detect diverse attribute sets with varying numbers and combinations. …”
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Tradeoffs in Introduction Policies for the Anti-Tuberculosis Drug Bedaquiline: A Model-Based Analysis. by Amber Kunkel, Frank G Cobelens, Ted Cohen

“…The objective of this study was to compare different strategies for introducing the new TB drug bedaquiline based on patients' resistance patterns.<h4>Methods and findings</h4>We created a Markov decision model to follow a hypothetical cohort of multidrug-resistant (MDR) TB patients under different bedaquiline use strategies. …”
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MPC based frequency control of an autonomous microgrid integrated with electric vehicles by Abdullahi Bala Kunya, Muhamad M. Mundu, Aminu Babangida, Péter Tamás Szemes

“…The MPC generates the optimal signals for the optimal adjustment of the power generation of the dispatchable sources as well as the EV aggregators. …”
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Toward Low-Emission Agriculture: Synergistic Contribution of Inorganic Nitrogen and Organic Fertilizers to GHG Emissions and Strategies for Mitigation by Shahzad Haider, Jiajie Song, Jinze Bai, Xing Wang, Guangxin Ren, Yuxin Bai, Yuming Huang, Tahir Shah, Yongzhong Feng

“…In this review, the current knowledge is utilized for the management of nitrogen practices, such as the optimization of fertilization rates, timing, and methods of application, in terms of the nitrogen use efficiency and the related GHG emissions. …”
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Research on rechargeable agricultural wireless sensor network based on ZigBee immune routing repair algorithm by Ruipeng Tang, Yinhe Wu, Jun Tan, Binghong Guan, Narendra Kumar Aridas, Mohamad Sofian Abu Talip

“…Then it compares the quality of the backup nodes and replaces the backup nodes with poor quality, so that the optimal paths are maintained between source nodes and middle relay nodes, which increases the optimization ability of the algorithm. …”
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Enhancing Efficiency and User Experience of Digital Community Health Worker Payments in Zanzibar: Implementation Report by Lee Pyne-Mercier, Krishna Jafa, Susan Maigua, Jennifer Muli, Elijah Gichinga, Antony Khaemba, Nitusima Kataraia, Aisha Mohammed, Frank Kamangadazi Tembo, Imran Esmail, Giulia V R Besana, Heiko Hornung, Ali Makame Zubeir

“…ObjectiveIn this implementation report, we describe efforts to improve efficiency, accuracy, and user experience of the CHW payment process of the Jamii ni Afya project in Zanzibar. MethodsWe applied Medic’s design process to develop new functionality for the open-source Community Health Toolkit. …”
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Automated process assessment of primary healthcare for hyperlipidemia: preliminary findings and implications form Anhui, China by Ningjing Yang, Yuning Wang, Ying Li, Dongying Xiao, Ruirui Cui, Nana Li, Rong Liu, Jing Chai, Xingrong Shen, Debin Wang

“…This study aims at identifying pragmatic measures out from routinely collected electronic records to enable automatic monitoring and inform continuous optimization of HL-management at PHC settings. Methods The study used randomly selected electronic records of PHC (from the province-wide data center of Anhui-province, China) as the main data source and generated both procedure-based and encounter-based measures for assessing HL-management. …”
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The Ontology-Based Approach Supporting Holistic Energy-Tunnel Design considering Cost, Heat Flux, and System Feasibility by Kun Meng, Chunyi Cui, Cheng Zhang, Hailong Liu

“…However, the conventional methods for designing energy tunnels mostly rely on complex numerical models. …”
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