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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Influência das atividades antrópicas na qualidade das águas da bacia hidrográfica do Rio Salitre Influence of anthropic activities on water quality of Salitre river basin by Luiza T. de L. Brito, Vajapeyam S. Srinivasan, Aderaldo de S. Silva, Hans R. Gheyi, Carlos de O. Galvão, Luiz C. Hermes

“…From the results the influence of irrigation on water quality was observed, with the occurrences of significant increases of electrical conductivity of the waters and saturation extract of the soil; increases in the parameters indicate low efficiency of farming systems, 35 and 77% of the water sources were classified as C3 and C4, respectively. …”
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Lifelong training program on QGIS tools for earth observation sciences in south-east Europe by Bashkim IDRIZI, Lyubka PASHOVA, Pal NIKOLLI

“… Earth Observation (EO) data are an indispensable source of useful geospatial information, which can be efficiently combined with other data within the latest released open-source QGIS software. …”
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Smart Tool-Related Faults Monitoring System Using Process Simulation-Based Machine Learning Algorithms by Arash Ebrahimi Araghizad, Faraz Tehranizadeh, Kemal Kilic, Erhan Budak

“…Several machine learning algorithms will be explored as well as additional data sources will be integrated in order to enhance the accuracy and reliability of fault detection.…”
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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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Multi-wavelength optical information processing with deep reinforcement learning by Qiuquan Yan, Hao Ouyang, Zilong Tao, Meili Shen, Shiyin Du, Jun Zhang, Hengzhu Liu, Hao Hao, Tian Jiang

“…Abstract Multi-wavelength optical information processing systems are commonly utilized in optical neural networks and broadband signal processing. …”
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TLR2/TLR5 Signaling and Gut Microbiota Mediate Soybean-Meal-Induced Enteritis and Declined Growth and Antioxidant Capabilities in Large Yellow Croaker (<i>Larimichthys crocea</i>) by Lei Zheng, Chao Zeng, Wanqin Zhu, Jiaonan Zhang, Lei Wang, Jianchun Shao, Wei Zhao

“…The results indicated that the SBM30 and SBM45 treatments significantly hindered fish growth, digestive efficiency, and protein utilization. Furthermore, high soybean meal levels (SBM30 and SBM45) activated intestinal Toll-like receptors (<i>TLR2A</i>, <i>TLR2B</i>, <i>TLR5</i>, and <i>TLR22</i>), stimulating C-Rel and mTOR protein expression and elevating ERK phosphorylation. …”
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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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Performance of polyvinyl alcohol graphene oxide membrane for microplastic removal in wastewater with an IoT based monitoring approach by S. Vijayshanthy, E. B. Priyanka, S. Thangavel, R. Anand, G. B. Bhavana, Baseem Khan, K. Jeyanthi

“…Abstract In this study, microplastics (MPs) source, movement and final disposition in wastewater treatment plants (WWTPs) and its ultimate release into natural water bodies are investigated. …”
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Endophytic Trichoderma asperellum WNZ-21 produces novel bioactives with anticancer, anti-inflammatory, and hemoprotective properties from fermented bean biomass by Yasmene F. Alanazi, Salma Saleh Alrdahe, Zeiad Moussa, Doaa Bahaa Eldin Darwish, Haifa Alrdahi, WesamEldin I. A. Saber

“…We employed a novel approach utilizing the isolated Trichoderma asperellum WNZ-21 [identified morphologically and molecularly (ITS: OR857252, tef1 gene: PP069312)] in semi-solid-state fermentation to bioconvert common bean biomass residue (RCBB) into a rich source of metabolites with significant therapeutic potential. …”
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Construction and Application of Monitoring System for Green Tarpaulin Cover Net in Mega Cities by Yang SUN, Dawei GAO, Haoye JIANG, Wanguang DU

“…Specifically, the research first utilizes high-resolution satellite remote sensing images as the basic data source, and ensures data quality through preprocessing measures such as image correction and enhancement. …”
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Facile Synthesis of Fluorescent Carbon Quantum Dots with High Product Yield Using a Solid-Phase Strategy by Haitao Ren, Fan Qi, Xiangbo Feng, Jiaxiang Liu, Yuzhen Zhao

“…The liquid-phase method is the most commonly utilized strategy for synthesizing fluorescent carbon quantum dots (CQDs). …”
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Spatio-Temporal Characteristics and Driving Forces of Landscape Ecological Risks in Highly Urbanized Areas: A Case Study of Suzhou City by Lingyue LU, Dawei SHAO, Dianming WU

“…It is imperative that high-risk areas be subjected to stringent control to prevent the indiscriminate expansion of construction land and to reinforce the efficient and intensive utilization of existing land resources. …”
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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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A Multiscale CNN-Based Intrinsic Permeability Prediction in Deformable Porous Media by Yousef Heider, Fadi Aldakheel, Wolfgang Ehlers

“…Examples demonstrate the CNN’s ability to accurately predict the permeability tensor in connection with the deformation state through the porosity parameter. A source code has been made available as open access.…”
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Knowledge-Grounded Attention-Based Neural Machine Translation Model by Huma Israr, Safdar Abbas Khan, Muhammad Ali Tahir, Muhammad Khuram Shahzad, Muneer Ahmad, Jasni Mohamad Zain

“…Side information related to either source or target side is helpful in the context of NMT. …”
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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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Bibliometric analysis of laryngeal cancer treatment literature (2003–2023) by Yan Zhao, Jiancheng Xue

“…It supports a wide range of data sources and produces visually appealing and clear visualizations, making it particularly suitable for multi-disciplinary bibliometric research. …”
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Fluorescence spectroscopy as a novel tool in hematological diagnostics by Nugzar Gomidze, Lali Kalandadze, Miranda Khajishvili, Omar Nakashidze, Izolda Jabnidze, Davit Jakobia, Kakha Makharadze

“…Blood samples were subjected to fluorescence analysis under deuterium, halogen, and ultraviolet excitation sources, allowing for a detailed correlation between spectroscopic biomarkers (hemoglobin, deoxyhemoglobin, and plasma characteristics) and clinical parameters (hemoglobin concentration, hematocrit, and red blood cell indices). …”
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