S’approprier, c’est résister. Appropriations spatiales et mobilisation infra-politique des femmes en immobilité résidentielle et sociale dans les bidonvilles de Salé (Maroc)... by Myriame Ali-Oualla

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Advancing Energy Transition: A Circular Economy Framework for Co-Optimizing Energy, Water, and Emissions in Low-Carbon Systems by Mohamed Elsir, Ameena Saad Al-Sumaiti, Mohamed Shawky El Moursi

“…We employ a novel risk-multi-objective stochastic (RMOBS) optimization method, coupled with a two-stage stochastic programming model, to address uncertainties through hidden Markov processes and conditional value-at-risk (CVaR) techniques. …”
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Hierarchical deep Q-network-based optimization of resilient grids under multi-dimensional uncertainties from extreme weather by Shimeng Dong, Chao Wang, Yan Zhang, Yanan Wang, Xiaodong Zhang, Linrun Guo, Liwei Ju

“…This paper introduces an innovative optimization framework leveraging Deep Q-Networks (DQN) to integrate renewable energy sources, energy storage systems, and advanced resilience metrics into a cohesive decision-making model. …”
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Dual-layer scheduling coordination algorithm for power supply guarantee using multi-objective optimization in spot market environment by Xuanyuan Wang, Xu Gao, Zhen Ji, Wei Sun, Bo Yan, Bohao Sun

“…Price fluctuations, the intermittency and uncertainty of renewable energy sources, and stringent environmental constraints make traditional dispatch methods inadequate. …”
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Optimization growth performance and intestinal characteristics of broiler through the use of zeolite and bioherbal-based mycotoxin binders as feed additives. by Ibrahim Ibrahim, Muhammad Halim Natsir, Osfar Sjofjan, Irfan Hadji Djunaidi, Agus Susilo, Muhaimin Rifa'i, Hafsah Hafsah

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Lantern-Explorer: A Collision-Avoidance Autonomous Exploration Drone System Based on Laser SLAM with Optimized Hardware and Software by L. Zhu, L. Zhu, R. Zhong, R. Zhong, D. Xie, D. Xie, X. Yuan, X. Yuan

“…Compared with existing platforms and methods, Lantern-Explorer demonstrated significant advantages in both exploration efficiency and mapping accuracy. …”
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Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency by Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S. Vairagade, Balram Yelamasetti, Sagar D. Shelare, Shubham Sharma, Abinash Mahapatro, V.K. Bupesh Raja, Quadri Noorulhasan Naveed, Naoufel Kraiem, Saiful Islam, Jasmina Lozanovic

“…Hybrid Energy Storage Systems (HESS) can provide solutions for grid stability and integration of renewable energy sources. A novel model integrating Model Predictive Control (MPC), Particle Swarm Optimization (PSO), Mixed-Integer Linear Programming (MILP), and Artificial Neural Networks (ANN) is developed to optimize HESS performance. …”
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Water-Soluble Vitamins: Hypo- and Hypervitaminosis in Pediatric Population by Roberto Paparella, Fabiola Panvino, Lucia Leonardi, Ida Pucarelli, Michela Menghi, Ginevra Micangeli, Francesca Tarani, Marcello Niceta, Debora Rasio, Rouzha Pancheva, Marco Fiore, Luigi Tarani

“…This review explores the clinical importance of water-soluble vitamins, focusing on hypo- and hypervitaminosis in children. Methods: A narrative review of the recent literature on the sources, recommended intakes, deficiency symptoms, and potential toxicities associated with each water-soluble vitamin was conducted. …”
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The Dispersion Measure and Scattering of Fast Radio Bursts: Contributions from Multicomponents, and Clues for the Intrinsic Properties by Jian-feng Mo, Weishan Zhu, Long-Long Feng

“…Scattering predominantly arises from the circumburst medium or the ISM and CGM of hosts, which cause a DM of ∼10 pc cm ^−3 . Using our optimal model, we estimate FRB redshifts with two methods: DM-only and combined DM– τ . …”
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Big data classification method of non relational distributed submission information under differentiated requirements by Lu HAN, Weiyu CHEN, Fei ZHANG, Jianfeng HE, Huaizhen SU

“…The classification method of non-relational distributed submitted information big data under the differentiated demand was studied, aiming at the problem of multi-source heterogeneous, widely distributed submitted information with more differentiated application requirements and inability to distinguish the available information.Firstly, the usability, openness and expansibility of the non-relational distributed submission information database were analyzed.The unstructured database storage TRIP was used to store non-relational distributed submission information by combining the basic requirements of field types.Then, the hashing process within the Hamming hash family was analyzed.Under the constraint of linearity level requirements, cellular automata with multiple attractors were used to optimize the system.The optimal parameters of the multiple attractor cellular automata classifier were improved through genetic algorithm, thus improving the big data classification method.Experimental results show that this method can effectively identify and classify structured data and unstructured data in non relational distributed submission information, and has high classification accuracy.…”
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Environmental and health impacts of selected artificial sweeteners: Effectiveness of treatment methods and innovative approaches for mitigation by Marie Joe Sawma, Ramez M. Zayyat, George M. Ayoub, Nasser Mahmassani

“…These methods emphasize sustainability by using renewable energy sources, optimizing operational parameters, and implementing effective waste management strategies. …”
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Using machine learning methods for long-term technical and economic evaluation of wind power plants by Ali Omidkar, Razieh Es'haghian, Hua Song

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Caesarean section versus vaginal birth in the perception of woman who gave birth by both methods by Octavian Gabriel Olaru, Anca Daniela Stanescu, Cristina Raduta, Liana Ples, Adriana Vasilache, Nicolae Bacalbasa, Andrei Vasilache, Oana Denisa Balalau

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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…We also elaborate on the optimization methods of algorithms for different data sources. …”
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Societal attitudes and structural barriers in coaching para-athletes: A mixed-methods systematic review. by Junyan Liu, Hongjun Yu, Waifong Catherine Cheung, Adam Bleakney, Yih-Kuen Jan

“…A mixed-methods approach was employed to synthesize data from 26 studies sourced from PubMed, Web of Science, SPORTDiscus, and Google Scholar. …”
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Exploring the product costing methods of micro foodservice businesses in Pagadian city: a case study by Ryan Patrick Jumawid, Jay Marie Maraon, Ozamae Tinambing, Eligen H. Sumicad Jr., Ace Virgel T. Batingal

“…This study explores the product costing methods employed by micro foodservice businesses in Pagadian City, focusing on how owners navigate operational challenges, financial constraints, and market competition. …”
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Knowledge Discovery Using Clustering Methods in Medical Database: A Case Study for Reflux Disease by Fatma Rıdaouı, Yunus Doğan

“…An increasing amount of data leads us to use the data and get the advantage of it by using methods like Data mining. Data mining is used in several industries. …”
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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…Many researchers have proposed numerous methods and worked in the area of AD. Multiple anomalies and considerable intraclass variation make industrial datasets tough. …”
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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy by Mehdi Eslamifar, Hamed Tavakoli, Eiko Thiessen, Rainer Kock, José Correa, Eberhard Hartung

“…These findings highlight that NIR spectroscopy, even with a limited spectral range (950–1650 nm), can provide reliable estimates of soil properties when combined with suitable pre-processing methods.…”
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Risk Factors, Etiology, Pathology, and Diagnostic Methods for Acute Kidney Injury: A Review Study by Tamer A. Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Yuliang Wang, Ayman El Baz, Naglaa Elarabany, Ahmed A. Khalil

“…This review summarizes our knowledge of AKI risk factors, pathogenesis, prediction, diagnosis, and emerging management approaches. Methods: A comprehensive literature search was conducted to summarize current knowledge on AKI. …”
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