Non-pathogenic nitrogen-fixing and cellulose-degrading microorganisms isolated from cattle manure by Ainash Nauanova, Aigul Tleppayeva, Nazymgul Shumenova, Adina Konkybaeva, Aisulu Ongarbai, Elmira Baimbetova, Assiya Algozhina

“…These beneficial microorganisms can be isolated from various sources, including cattle manure, which is inherently rich in essential elements required for plant growth and development. …”
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Decellularized Green and Brown Macroalgae as Cellulose Matrices for Tissue Engineering by Caitlin Berry-Kilgour, Indrawati Oey, Jaydee Cabral, Georgina Dowd, Lyn Wise

“…These findings demonstrate the potential of <i>E. radiata</i>-derived cellulose scaffolds for skin tissue engineering and highlight the influence of macroalgae ECM structures on decellularization efficiency, cellulose matrix properties, and scaffold utility.…”
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Evaluating Conflict Management Strategies and Supply Chain Performance: A Systematic Literature Review Within Jordan’s Food Manufacturing Sector by Aydah Almasri, Ma Ying, Reem Aljaber, Jean Pierre Namahoro

“…Framed within smart city initiatives and sustainable development goals (SDGs 9, 11, and 12), this study addresses critical gaps identified in the literature, particularly the lack of integrated examination of CMS impacts in emerging markets like Jordan. Utilizing thematic analysis, this review consolidates key findings across relevant studies from 2010 to 2025 sourced from top-tier databases. …”
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Evaluation of nitrogen fixation in the marine purple photosynthetic bacterium Rhodovulum sulfidophilum under autotrophic and heterotrophic conditions by Miki Suzuki, Tomokazu Shirai, Shamitha Rao Morey-Yagi, Akihiko Kondo, Keiji Numata

“…They are predominantly mixotrophs capable of utilizing both organic and inorganic carbon sources for growth. …”
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An ensemble approach for spam detection in Arabic opinion texts by Radwa M.K. Saeed, Sherine Rady, Tarek F. Gharib

“…The detection of spam reviews in Arabic online sources is a relatively new topic despite the relatively huge amount of data generated. …”
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Dual-hybrid intrusion detection system to detect False Data Injection in smart grids. by Saad Hammood Mohammed, Mandeep S Jit Singh, Abdulmajeed Al-Jumaily, Mohammad Tariqul Islam, Md Shabiul Islam, Abdulmajeed M Alenezi, Mohamed S Soliman

“…Modernizing power systems into smart grids has introduced numerous benefits, including enhanced efficiency, reliability, and integration of renewable energy sources. …”
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Monthly economic scheduling analysis of virtual power plant with electric vehicles: Analyzing from single-objective to tri-objective perspectives by Shaofan Li, Huaichun Zhou, Guanfeng Du, Shengxian Cao, Gong Wang, Jie Duan

“…The integration of diverse clean energy sources poses both challenges and opportunities for future energy systems. …”
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A Lean Six Sigma, Industry 4.0 and Circular Economy-driven methodology for wine supply chain process improvement by Alessandro Zironi, Pamela Danese, Pietro Romano, Roberto Zironi

“…The methodology has been tested in a real case to evaluate its utility for practice and relevance. …”
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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

“…The findings have important implications for enhancing the reliability and economic efficiency of electric vehicle battery management systems.…”
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USE OF GAS TURBINES FOR COMBINED ENERGY PRODUCTION by V. A. Bulanin

“…Basic gas turbine construction schemes are investigated along with their techno-economic characteristics and an assessment of their comparative utility. Conclusion. Considering the widespread availability of natural gas, it is recommended that gas turbine and combined-cycle plants be installed as part of the process of technical re-equipment in the fuel and energy complex, industry, agriculture and municipal energy sectors as part of the design and construction of new energy sources in the light of positive world experience and the current level of development of gas turbine technologies. …”
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Predictive Method for the Evolution of Flow Velocity in an Open Channel with a Floating Vegetation by Yuqi SHAN, Ziqin GUI, Hui CAO, Yufeng REN, Chao LIU

“…Twelve groups of experimental data from various sources are utilized to verify the proposed model. …”
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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

“…Growing global concerns over reducing carbon emissions in the electricity market have accelerated the integration of renewable energy sources and electric vehicles, increasing variabilities and uncertainties across various nodes of power networks. …”
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Green Commute: Reducing Carbon Footprint in Commuting Scenarios in Karaj by Shima Oveisi, Mazaher Moeinaddini

“…This study addresses the substantial contribution of mobile sources in commuting to greenhouse gas (GHG) emissions in megacities and underscores strategies for carbon footprint emission reduction. …”
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Cloud-Edge-Collaboration-Based Flexibility Scheduling Strategy Considering Communication and Computation Delay by Wei Zhang, Hui Miao

“…As the penetration rate of renewable energy sources (RES) gradually increases, demand-side resources (DSR) should be fully utilized to provide flexibility and rapidly respond to real-time power supply-demand imbalance. …”
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Bibliometric cartography of data science: a large-scale analysis on knowledge integration and diffusion by Hongkan Chen, Jinchang Liu, Win-bin Huang, Yi Bu

“…Here, we adopt a citation-based strategy to define the scope of data science and utilize bibliometric methods to map its “cartography” from the perspectives of publications and scholars. …”
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Any Way the Wind Blows Does Really Matter in Lichen Response to Air Pollution from an Oil Refinery by Maja Maslać Mikulec, Saša Likić, Oleg Antonić, Mirta Tkalec

“…Lichens serve as effective bioindicators for air pollution studies, yet most biomonitoring research focuses primarily on the distance from pollution sources, often neglecting wind data that could elucidate the spread of airborne pollutants. …”
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Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs by Hatem Gasmi, Azher M. Abed, Ashit Kumar Dutta, Fahad M. Alhomayani, Ibrahim Mahariq, Fahad Alturise, Salem Alkhalaf, Tamim Alkhalifah, Yasser Elmasry, Baseem Khan

“…These results highlight the potential of combining advanced thermodynamic systems with machine learning methodologies to improve the efficiency and effectiveness of renewable energy sources.…”
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Distributionally robust microgrid formation for service restoration in distribution systems against extended extreme events by Ran Zhu, Hongzhe Liu, Wenwu Yu, Wei Gu, Jin Zhao

“…Microgrid formation (MF) has emerged as a crucial approach for service restoration (SR) under such circumstances since local resources can be utilized to provide temporary power supplies. This paper proposes a novel MF-based SR approach for the DS to maximize the expected weighted load served ratio (WLSR) by allocating mobile power sources and dynamic MF scheduling in the worst case against extended extreme events. …”
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Design of a Portable Integrated Fluid–Structure Interaction-Based Piezoelectric Flag Energy-Harvesting System by Haochen Wang, Xingrong Huang, Zhe Li, Le Fang

“…Charge–discharge experiments on the energy storage unit enable a comprehensive evaluation of system performance, marking the first efficiency measurement of a fully integrated energy-harvesting system. …”
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Enhanced Fall Detection Using YOLOv7-W6-Pose for Real-Time Elderly Monitoring by Eugenia Tîrziu, Ana-Mihaela Vasilevschi, Adriana Alexandru, Eleonora Tudora

“…This study aims to enhance elderly fall detection systems by using the YOLO (You Only Look Once) object detection algorithm with pose estimation, improving both accuracy and efficiency. Utilizing YOLOv7-W6-Pose’s robust real-time object detection and pose estimation capabilities, the proposed system can effectively identify falls in video feeds by using a webcam and process them in real-time on a high-performance computer equipped with a GPU to accelerate object detection and pose estimation algorithms. …”
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