Optimizing water resource management in tropical drought-prone regions through hybrid MCDM techniques: A water-stress mapping approach by Suman Mukherjee, Suman Paul, Subhasis Bhattacharya, Aznarul Islam, Sadik Mahammad, Edris Alam

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Assessment on electrical discharge machining of ultrasonication assisted stir-casted AA8081-B4C-Gr hybrid composites and prediction using Levenberg-Marquardt technique by M. Vivekanandhan, N. Senthilkumar, B. Deepanraj, Nithesh Naik

“…In this investigation, electrical discharge machining (EDM) of hybrid aluminium composite (HAC) comprising AA8081, boron carbide (B4C) (10 wt.%) and graphite (Gr) (5 wt.%) is carried out. …”
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Assessing health risk reduction from road traffic noise: The impact of vehicle composition and traffic speed in the transition to electric vehicles – A prediction in Sapporo City,... by Farah Elida Selamat, Junta Tagusari

“…We analysed the relationship between health risk reduction, vehicle composition (i.e., proportion/percentage of heavy vehicles), and traffic speed according to the CNOSSOS-EU noise emission model and the exposure-response functions provided in the Environmental Noise Guidelines by the World Health Organization Regional Office for Europe (WHO-EU). …”
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Synthesis and characterization of novel halloysite-agar-Ni0.5Zn0.5Mn2O4 composite for efficient methylene blue dye removal by Khawla Benyahia, Hafida Sehil, Abdelkader Chougui, Abdel-Hamid I. Mourad, Abdelkader Dehbi, Nizamudeen Cherupurakal, Reem H. Alzard

“…The nanocomposite obtained was applied as an adsorbent for eliminating methylene blue which was chosen as a model for cationic dyes. It demonstrated a remarkable adsorption capacity of 130 mg/g for this dye under the optimal conditions: 60 g/l agar, Epichlorohydrin (0.1 M), 20 % halloysite and 20 % Oxide, at PH= 6 and ambient temperature.…”
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Exploring the fresh and rheology properties of 3D printed concrete with fiber reinforced composites (3DP-FRC): a novel approach using machine learning techniques by Risul Islam Rasel, Md Minaz Hossain, Md Hasib Zubayer, Chaoqun Zhang

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Utilizing Circadian Heart Rate Variability Features and Machine Learning for Estimating Left Ventricular Ejection Fraction Levels in Hypertensive Patients: A Composite Multiscale E... by Nanxiang Zhang, Qi Pan, Shuo Yang, Leen Huang, Jianan Yin, Hai Lin, Xiang Huang, Chonglong Ding, Xinyan Zou, Yongjun Zheng, Jinxin Zhang

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Response surface optimization for cadmium biosorption onto the pre-treated biomass of red algae Digenia simplex as a sustainable indigenous biosorbent by Sedky H.A. Hassan, Maryam M. Alomran, Nada I.A. Alsugiran, Mostafa Koutb, Hassan Ahmed, Mustafa A. Fawzy

“…Moreover, cadmium removal from agricultural wastewater samples by pretreated D. simplex was evaluated under the optimal conditions, and the removal rate excessed 97%. …”
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From Pairwise Comparisons of Complex Behavior to an Overall Performance Rank: A Novel Alloy Design Strategy by Rafael Herschberg, Lisa Rateau, Laure Martinelli, Fanny Balbaud-Célérier, Jean Dhers, Anna Fraczkiewicz, Gérard Ramstein, Franck Tancret

“…In this case, the method is applied to the design of wear-resistant hard-facing alloys by also associating it with a combinatorial optimization of their composition by a multi-objective genetic algorithm. …”
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Optimizing Black Soldier Fly (Hermetia illucens) production: effects of substrate variation on biomass, nutritional quality, hatchability, fecundity, and frass quality by Erick O. Ogello, Nicholas O. Outa, Mavindu Muthoka, Fredrick Juma, Fredrick Juma, Jan Hoinkis

“…Frass quality mirrored substrate composition: vegetable waste produced the highest organic matter (75.4 ± 3.9%), while poultry and fish waste frass showed superior nitrogen and phosphorus content, with low C:N ratios (16.9–17.8) favorable for composting.DiscussionThe mixed organic waste emerged as the most effective substrate, optimizing BSF biomass production, nutritional value, reproductive output, and fertilizer potential. …”
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DEVELOPMENT OF A PERSONALIZED MEAT PRODUCT USING STRUCTURAL-PARAMETRIC MODELING by Andrey B. Lisitsyn, Irina M. Chernukha, Marina A. Nikitina

“…The algorithm of a substantiated optimal choice of mass fractions of components (ingredients) of the food recipe composition is given. …”
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A Review of Sensors for the Monitoring, Modeling, and Control of Commercial Wine Fermentations by Roger Boulton, James Nelson, André Knoesen

“…Large-scale commercial wine fermentation requires the monitoring and control of multiple variables to achieve optimal results. Challenges in measurement arise from turbidity, stratification in large unmixed volumes, the presence of grape skins and solids during red wine fermentations, the small changes in variables that necessitate precise sensors, and the unique composition of each juice, which makes every fermentation distinct. …”
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Estimating phosphate capacities of multi-component slags by mass triangle model by Sun Y., Wang L., Xu J., Chou K.

“…Since this model can also evaluate other properties of slag, such as density, viscosity, sulphide capacity etc., this model might shoot light on the understanding of various properties of multi-component slags accurately, and thus offer insight on optimization of ironmaking and steelmaking process.…”
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Modeling, Simulation, and Kinetic Studies of Solvent-Free Biosynthesis of Benzyl Acetate by Vijay Kumar Garlapati, Annapurna Kumari, Paramita Mahapatra, Rintu Banerjee

“…Solvent-free biosynthesis of benzyl acetate through immobilized lipase-mediated transesterification has been modeled and optimized through statistical integrated artificial intelligence approach. …”
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Energy-Efficient Optimal Control of Crude Distillation Columns Using Proportional-Integral-Plus (PIP) Framework: A Simulation-Based Approach by Mir Mohammad Khalilipour, Farhad Shahraki, Jafar Sadeghi, Kiyanoosh Razzaghi

“…The PIP control system was compared to traditional control methods, with performance evaluated under various disturbances, including feed rate, temperature, and composition changes. Results: The PIP control strategy significantly improved the CDU’s performance, reducing operating costs by up to 100% compared to traditional control methods optimized by the Integral of Time-weighted Absolute Error (ITAE). …”
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Tourism Sentiment Chain Representation Model and Construction from Tourist Reviews by Bosen Li, Rui Li, Junhao Wang, Aihong Song

“…Leveraging multidimensional attribute perceptions derived from tourist reviews, this study proposes a Spatial–Semantic Integrated Model for Tourist Attraction Representation (SSIM-TAR), which holistically encodes the composite attributes and multifaceted evaluations of attractions. …”
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Development of Energy-Efficient Modes of Installations for Heat Treatment of Concrete Products Using Numerical Calculation Methods by V. N. Romaniuk, A. M. Niyakovskii, A. N. Chichko, Yu. V. Yatskevich

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Machine-learning based optimizing the neutronic and thermal-hydraulic performance in a VVER-1000 mixed-core as well as fuel burnup assessment by A. Koraniany, G.R. Ansarifar

“…The study aimed to identify the optimal fuel composition and loading location for the UTVS assembly based on various neutronic and thermal-hydraulic parameters. …”
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Advances in sustainable additive manufacturing: a systematic review for construction industry to mitigate greenhouse gas emissions by Oluwole Joseph Oladunni, Oluwole Joseph Oladunni, Carman K. M. Lee, Idowu David Ibrahim, Oludolapo Akanni Olanrewaju

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Statistical Optimization of Culture Conditions for Enhanced Biomass Yield of Lactobacillus acidophilus CM1 Using Plackett–Burman and Response Surface Methodology by Khushboo Rajput, Amar Yasser Jassim, Ameer Abbas Mohammed, Abdel Rahman Mohammad Said Al-Tawaha, Arun Karnwal, Tabarak Malik

“…This approach offers a scalable model for bioprocess optimization in industrial fermentation.…”
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Development of a midwifery regulatory environment index using data from the Global Midwives’ Associations map survey by Emma Virginia Clark, Marianna LaNoue, Kate Clouse, Alexandra Zuber, Jeremy Neal

“…Additionally, it highlights how employing model fit prediction provides a transparent, replicable, and accessible approach for identifying the optimal characterization of the construct based on a specific outcome. …”
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