The Role of Smart Grid Technologies in Urban and Sustainable Energy Planning by Mohamed G. Moh Almihat, Josiah L. Munda

“…Smart microgrids offer a decentralized approach that enhances energy efficiency, facilitates the integration of renewable energy sources, and improves urban resilience. …”
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Costs and export potentials of green synthetic fuels produced in the MENA region by Josua Braun, Thomas Pregger, Jürgen Kern, Yvonne Scholz

“…The framework uses linear optimization to design cost-optimal systems by dimensioning the components for maximal efficiency. It accommodates various converter and storage technologies, enabling high utilization rates even with fluctuating renewable electricity supply. …”
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Photocatalytic performance of Se-modified TiO2 prepared with triethanolamine or iminodiacetic acid as hydrolysis inhibitors by Xia Zhang, Jinyu Yang, Junjie Xu, Shizhong Zhou, Yanglin Zhang, Xuan Liu, Yanqing Zhang, Yuesheng Li, Jun Guo

“…This visible-light-driven photocatalyst demonstrates potential for efficient sewage treatment via solar energy utilization.…”
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Research on Parallel Computing Method for Neutron Transport on Tetrahedral Unstructured Meshes Based on COME by ZHONG Yangyu, ZHANG Tiancheng, ZHOU Xiafeng

“…The computational time for different parallel strategies indicates that the TETRIS achieves parallel efficiency of over 50% in most cases when utilizing over 100 cores. …”

Lignin as Green Filler in Polymer Composites: Development Methods, Characteristics, and Potential Applications by Muhammad Rasyidur Ridho, Erika Ayu Agustiany, Muslimatul Rahmi Dn, Elvara Windra Madyaratri, Muhammad Ghozali, Witta Kartika Restu, Faizatul Falah, Muhammad Adly Rahandi Lubis, Firda Aulya Syamani, Yeyen Nurhamiyah, Sri Hidayati, Asma Sohail, Petro Karungamye, Deded Sarip Nawawi, Apri Heri Iswanto, Nadras Othman, Nor Anizah Mohamad Aini, M. Hazwan Hussin, Kannika Sahakaro, Nabil Hayeemasae, Muhammad Qasim Ali, Widya Fatriasari

“…Pulp and paper mills and emerging cellulosic biorefineries are the main sources of technical lignin. However, only 2–5% of lignin has been converted into biomaterials. …”
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Dynamic reconfiguration of distribution networks considering wind-PV-load scenarios by LIU Ronghui, CHEN Geng, SUN Gaiping, LIN Shunfu, WANG Xu

“…To enhance computational efficiency， Fisher optimal partition is employed to determine optimal reconfiguration intervals. …”
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Weak peak identification of gamma spectrum based on singular value decomposition by CHEN Feng, ZHOU Jianbin, LIU Yi

“…BackgroundWhen performing gamma-ray spectroscopy analysis of samples with low levels of radioactive nuclide content, the weak peaks are difficult to be identified.PurposeThis study aims to propose a new method for identifying peaks in γ spectra by utilizing singular value decomposition (SVD) to improve the detection efficiency of weak peaks.MethodsFirstly, the matrix construction of spectrum data was improved by transforming the γ spectrum into a two-way cyclic matrix, and singular value decomposition of matrix was performed to get singular values and singular vectors. …”
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Natural fiber-reinforced light-weight cement blocks prepared from waste for sustainable development by Latda Chandeng, Thanawat Meesak, Chakrapan Tuakta, Tidarut Wisuthseriwong, Tamon Ueda, Oratai Jongprateep

“…With high content of calcium oxide and silica, eggshells and cockleshells are potential sources of calcium, whereas RHA is a good source of silicon. …”
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Enhancing Energy Access in Rural Indonesia: A Holistic Assessment of a 1 kW Portable Power Generator Based on Proton-Exchange Membrane Fuel Cells (PEMFCs) by Handrea Bernando Tambunan, Reynolds Widhiyanurrochmansyach, Sabastian Pranindityo, Jayan Sentanuhady

“…Fuel cells provide direct and environmentally friendly conversion of chemical energy from a fuel source into electrical energy, emitting only water vapor when utilizing hydrogen from renewable sources. …”
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Review on the Pre-treatment Advancements of Biogas Production Barriers by Amoo, A.O., Ijanu, E.M., Haruna, A., Adeleye, A.O, Sabo, A.

“… Biogas production is a promising renewable energy source that can reduce greenhouse gas emissions and improve environmental health. …”
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Oil spill classification based on satellite image using deep learning techniques by Abubakar Salihu Abba, Noorfa Haszlinna Mustaffa, Siti Zaiton Mohd Hashim, Razana Alwee

“…This paper applied three deep-learning algorithms for satellite image classification, including ResNet50, VGG19, and InceptionV4; They were trained and tested on an open-source satellite image dataset to analyze the algorithms' efficiency and performance and correlated the classification accuracy, precisions, recall, and f1-score. …”
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Selection evaluation of in-situ exploitation of oil shale in Sinopec exploration areas and adjacent areas by GUO Xusheng, LI Wangpeng, SHEN Baojian, HU Zongquan, ZHAO Peirong, LI Maowen, GAO Bo, FENG Dongjun, LIU Yali, WU Xiaoling, SU Jianzheng

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Quasi-synchronous thermocompensation for ISFET-based ionometric devices. Part 2: Implementation by Alexey Pavluchenko, Aleksandr Kukla

“…Circuit diagrams for the main components of transducer — namely, the programmable voltage source for ISFET biasing and the transimpedance amplifier for the sensor output readout — are presented, as well as the experimental estimation of the ISFET sensor thermometric properties and the efficiency of thermocompensation.…”
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Reliable DC Shipboard Power Systems—Design, Assessment, and Improvement by Robin van der Sande, Aditya Shekhar, Pavol Bauer

“…Targeting a climate-neutral maritime sector drives the adoption of the all-electric ship (AES). While AESs can utilize both ac and dc shipboard power systems (SPS), a dc system offers advantages in efficiency, power density, and source synchronization. …”
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Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method by Chirag Mongia, Shankar Sehgal

“…To address this limitation, a transfer learning (TL)-based methodology has been developed for bearing fault detection, so that the model trained under some specific training conditions can perform accurately under significantly different real-time working conditions, thereby significantly improving diagnostic efficiency while reducing training time. Initially, a deep learning approach utilizing convolutional neural networks (CNNs) has been employed to diagnose faults based on vibration data. …”
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TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems by Younjeong Lee, Jongpil Jeong

“…In the process of developing a prediction model suitable for the target domain by utilizing multi-source data, we propose a data similarity evaluation method using DTW, which demonstrates excellent performance with low error rates in the MSE and MAE metrics compared with conventional long short-term memory (LSTM) and Transformer models. …”
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Deciphering city-level residential AMI data: An unsupervised data mining framework and case study by Han Li, Miguel Heleno, Kaiyu Sun, Wanni Zhang, Luis Rodriguez Garcia, Tianzhen Hong

“…This study opens pathways for future research, including integrating more data sources and collaborating with utility companies to validate hypotheses and further explore building energy use insights.…”
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A review of helium resources and development by Zhongjun Hu, Jingyu Li

“…Due to its unique properties, helium is critical in scientific research and industrial innovation, particularly in cryogenics; however, its scarcity necessitates efficient resource utilization. Through a review of the historical development of the helium industry, this study comprehensively evaluates the value, sources, production methods, supply dynamics, and sustainability challenges of helium. …”
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Simulation and comprehensive 4E study of a double flash geothermal-based organic Rankine cycle multi-generation system by Luis Buenaño, Diana Katherine Campoverde Santos, María Albuja, Mohammed Hasan Aldulaimi, Omar Salim Abdullah, Diego Mayorga, Omar H. AL-Zoubi, Shriya Mahajan, Ali Foladi

“…This research explores an innovative Rankine organic cycle that generates electricity, hydrogen, and potable water by integrating geothermal and heat recovery as energy sources. The cycle's efficiency is assessed in two configurations: utilizing geothermal energy and not utilizing it. …”
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Screening and characterization of integration sites based on CRISPR-Cpf1 in Pichia pastoris by Shupeng Ruan, Yuxin Yang, Xinying Zhang, Guanjuan Luo, Ying Lin, Shuli Liang

“…Pichia pastoris, a methylotrophic yeast, can utilize methanol as a carbon source and energy source to synthesize high-value chemicals, and is an ideal host for biomanufacturing. …”
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