Effect of Ultrasonic Assisted Extraction with Ethanol for Removing Lipid on Catfish (Pangasius sp.) Skin as a Collagen Source and Its Characteristics by Maulida Agustina, Patmawati Patmawati, Shofy Mubarok, Laksmi Sulmartiwi, Diah Anggraini Wulandari, Khadijah Zai, Raseetha Siva, Dwi Yuli Pujiastuti, Dwitha Nirmala, Money Carattri Kusuma Werdani, Oemar Moechthar, Mohamad Akmal Alwi Husein

“…The result exhibited that UAE-ethanol treatment was capable of removing up to 85.6% of lipid content, and the produced collagen had the potential to be utilized as an alternative source of collagen based on its properties. …”
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Solvent-free valorization of sugarcane bagasse fibers into nitrogen-doped microporous carbons: Efficient contenders for selective carbon dioxide capture by Urooj Kamran, Nasir Shezad, Soo-Jin Park, Kyong Yop Rhee, Shujie You, Farid Akhtar

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Development of an efficient 3AP-DMEA-butanol-water phase change absorbent for CO_2 capture by HONG Shumin, HU Xing, ZHENG Zhuangzhuang, XIAO Min, GAO Hongxia*, LIANG Zhiwu

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Pine wood nematode disease area identification based on multi-temporal multi-source remote sensing images and BIT model by Degao Wang, Zhangyu Sun, Xinxia Huang, Mingzhong Liu, Qingqing Zheng, Huailiang Zhang, Guanghe Zhang

“…With the advancements in remote sensing technology, remote sensing images offer distinct advantages such as extensive coverage, timely data acquisition and high spatial resolution, making them highly suitable for accurately and efficiently identifying PWN disease areas. This article introduces a deep learning approach for the identification of PWN disease areas using multi-temporal and multi-source remote sensing images. …”
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A space-time least-squares support vector regression scheme for inverse source problem of the time-fractional wave equation by A. Mohammadi, A. Tari Marzabad

“…The introduced algorithm utilizes a space-time Galerkin type of least-squares support vector regression to approximate the unknown source in a finitedimensional space, providing a stable and efficient solution. …”
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Intelligent Prediction and Numerical Simulation of Landslide Prediction in Open-Pit Mines Based on Multi-Source Data Fusion and Machine Learning by Li Qing, Linfeng Xu, Juehao Huang, Xiaodong Fu, Jian Chen

“…The results indicate that combining machine learning and multi-source data fusion provides a highly accurate, efficient, and straightforward method for landslide prediction in the high and steep slopes of open-pit mines.…”
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Study on Key Influencing Factors of Carbon Emissions from Farmland Resource Utilization in Northeast China Under the Background of Energy Conservation and Emission Reduction by Mulin Sun, Yuhao Fu, Mingyao Sun, Run Huang, Yun Teng

“…In this study, the carbon emission coefficient method is used to select six major carbon sources with energy consumption, including energy consumption in the process of fertilizer production, agricultural machinery use, irrigation, and agricultural waste treatment, to measure the spatial and temporal carbon emissions from the utilization of farmland resources in Northeast China during 2012–2021. …”
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Allosteric regulation of pyruvate kinase enables efficient and robust gluconeogenesis by preventing metabolic conflicts and carbon overflow by Fukang She, Brent W. Anderson, Daven B. Khana, Shenwei Zhang, Wieland Steinchen, Danny K. Fung, Nathalie G. Lesser, Lauren N. Lucas, David M. Stevenson, Theresa J. Astmann, Gert Bange, Jan-Peter van Pijkeren, Daniel Amador-Noguez, Jue D. Wang

“…ABSTRACT Gluconeogenesis, the reciprocal pathway of glycolysis, is an energy-consuming process that generates glycolytic intermediates from non-carbohydrate sources. In this study, we demonstrate that robust and efficient gluconeogenesis in bacteria relies on the allosteric inactivation of pyruvate kinase, the enzyme responsible for the irreversible final step of glycolysis. …”
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Efficient hydrogen evolution via neutral water electrolysis using nanocrystalline TiO2 electrocatalyst by Prashant D. Sanadi, Rajvardhan K. Chougale, Dhanaji B. Malavekar, Jin Hyeok Kim, Srinivaas Masimukku, Guo-Ping Chang-Chien, Yong-Chein Ling, Sanjay S. Kolekar, Ganesh S. Kamble

“…Abstract Significant efforts have been focused on the development of non-noble metal electrocatalysts for efficient production of green hydrogen using renewable energy sources such as water and sunlight. …”
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Management strategies for the efficient energy production of brackish water desalination to ensure reliability, cost reduction, and sustainability by A. Bdour, A. Hejab, L. Almakhadmeh, M. Hawa

“…Many challenges were identified during the current work, including the low quality of raw water and minimal demand for freshwater, which resulted in lower operation hours outside of sun peak hours, while the direct utilization of photovoltaic energy is recommended.CONCLUSION: Renewable energy and energy recovery were recognized as potential sources for energy savings to achieve sustainable and long-term feasible operation and cost recovery at the Hashemite University photovoltaic brackish water reverse osmosis plant. …”
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Additions to Space Physics Data Facility and pysatNASA: Increasing Mars Global Surveyor and Mars Atmosphere and Volatile EvolutioN Dataset Utility by Teresa M. Esman, Alexa J. Halford, Jeff Klenzing, Angeline G. Burrell

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Research on the Operating Performance of a Combined Heat and Power System Integrated with Solar PV/T and Air-Source Heat Pump in Residential Buildings by Haoran Ning, Fu Liang, Huaxin Wu, Zeguo Qiu, Zhipeng Fan, Bingxin Xu

“…Global building energy consumption is significantly increasing. Utilizing renewable energy sources may be an effective approach to achieving low-carbon and energy-efficient buildings. …”
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Identifying Inefficient Urban Residential Land within Shenzhen City: An Approach Using Gaussian Mixture Model and Multi-Source Big Data by Y. Liu, S. Liang, R. Guo, W. Wang, D. Ma, Y. Zheng, L. Zhang, Q. Liu, X. Li

“…Previous research mainly analyzed the land use efficiency of individual residential areas, neglecting to discuss the impact of surrounding environment and the utilization of urban dynamic big data. …”
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Relationship between ecological spatial network and vegetation carbon use efficiency in the Yellow River Basin, China by Chenglong Xu, Xiang Chen, Qiang Yu, Buyanbaatar Avirmed, Jikai Zhao, Wei Liu, Weijie Sun

“…In this study, utilizing remote sensing data, the Yellow River Basin (YRB) was selected as a case study to analyze vegetation CUE through the Carnegie Ames Stanford Approach (CASA) and Light Use Efficiency-Normalized Difference Water Index (LUE-NDWI) models. …”
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Innovations in Blade Design for Enhancing Wind Turbine Efficiency: A Review of Aerodynamic, Structural, and Material Advancements by Parankush Koul

“…This multidimensional approach is, overall, crucial to widespread utilization of wind as a sustainable and affordable energy source against the backdrop of increasing energy needs.…”
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Spatiotemporal Patterns of Cropland Sustainability in Black Soil Zones Based on Multi-Source Remote Sensing: A Case Study of Heilongjiang, China by Jing Yang, Li Wang, Jinqiu Zou, Lingling Fan, Yan Zha

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Brain Tumor Detection and Prediction in MRI Images Utilizing a Fine-Tuned Transfer Learning Model Integrated Within Deep Learning Frameworks by Deependra Rastogi, Prashant Johri, Massimo Donelli, Lalit Kumar, Shantanu Bindewari, Abhinav Raghav, Sunil Kumar Khatri

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Β-FeOOH modified polyurethane foam for efficient adsorption of arsenite and arsenate from contaminated water by Qiang Li, Yifan Yao, Yingying Tang, Jinsheng Huang, Mei He, Wei Zhang

“…In the quest to purify contaminated natural water sources, β-FeOOH-PUF has been employed to adsorb As(III) and As(V). …”
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Design of an Efficient Deep Learning-Based Diagnostic Model for Wind Turbine Gearboxes Using SCADA Data by Xuan-Kien Mai, Jun-Yeop Lee, Jae-In Lee, Byeong-Soo Go, Seok-Ju Lee, Minh-Chau Dinh

“…Global efforts to address climate change have intensified the transition from fossil fuels to renewable energy sources, positioning wind power as a critical player due to its advanced technology, scalability, and environmental benefits. …”
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Federated Learning for Real-Time Demand Response by Data Centers Toward Energy Efficiency and Privacy Preservation by Mohannad Alhazmi, Alexis Pengfei Zhao, Wanzi Li, Chenlu Yang

“…This study presents a federated learning approach tailored for IoT-enabled data centers to optimize energy usage and enhance data privacy. Our novel method utilizes real-time data to generate effective and efficient actions in response to operational demands, in compliance with energy conservation and stringent privacy standards. …”
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