SENSITIVE POTENTIOMETRIC SENSOR TO IONS OF LEAD (II) by K. E. Magomedov, S. D. Tataeva, V. S. Goryachaya

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Optimization study on palm fat base (HAMIN®) and purified water proportion in diphenhydramine hydrochloride cream formulation by Lina Winarti, Amirah Mohd Gazzali, Whendy Waliya Arafika, Lidya Ameliana, Evi Umayah Ulfa, Dwi Nurahmanto, Farukh Paramayuda

“…These findings indicate that the selection of base composition plays a crucial role in determining the overall performance of the cream formulation. …”
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Theoretical, Experimental and Numerical Analysis of Behavior of Adhesive Bonded Joints Thin-Walled Aluminum-Composite Structures Under Axial Loading by Hamed Saeidi Googarchin, Reza Rahmani

“…It increased only 155.75% for aluminum and 22.99% for aluminum-composite. Among the selected cases, the optimal number of composite layers for locally reinforced aluminum-composite energy absorber is 4 layers and the optimal angle for internal reinforcement is [0,90].…”
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Synthesis of Mesoporous Silica Imprinted Salbutamol with Two TEOS/MTES Ratio Compositions through the Direct Incorporation Method for Salbutamol Separation by Ike Susanti, Mutakin Mutakin, Aliya Nur Hasanah

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Photocatalytic Carbon Dioxide Reduction with Water to CO and CH4 over Bio-sludge Modified TiO2 Composite by Beenish Tahir, Muhammad Tahir, Abdulrahman Alraeesi, Naveen Kumar

“…The bio-sludge acted as a cocatalyst, promoting efficient charge separation and transfer in addition to higher visible light absorbance. Using optimized BS/TiO2 composite, the highest CO and CH4 yield rates of 3.82 and 4.39 µmol g-1 h-1 at selectivity 46.50 and 53.50 % were achieved. …”
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Effect of Thermo-catalytic Process on the Viscosity, Composition of a Colombian Heavy Crude Oil and the Corrosion on Api N-80 Steel by Julian Sanabria, Dario Pena-Ballesteros, Daniel Molina, Michell Jiménez, Manuel Cabarcas, Adan Leon-Bermudez

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Effect of Contrasting Cap Management Protocols on the Phenolic Composition, Redox Potential, and Sensory Properties of Pinot Noir and Petite Sirah Wines by Dallas J. Parnigoni, Sean Kuster, Gabriela R. Rivas, Grace A. Putman, Emily S. Stoffel, James Nelson, Robert E. Coleman, Anibal A. Catania, L. Federico Casassa

“…Present results provide winemakers with tools to optimize fermentation kinetics and labor costs, selectively extract phenolic compounds, and produce wines of targeted style and sensory profiles in varietals with contrasting phenolic profiles.…”
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Optimizing network locations of weigh-in-motion stations: A multi-objective approach for enhancing infrastructure management by Chan Yang, Tu Lan, Patrick Lou, Hani Nassif, Kaan Ozbay, Chaekuk Na

“…The proposed framework integrates truck traffic composition, infrastructure condition, enforcement needs, and geographical considerations. …”
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Mixing temperature optimization and modification mechanism of medical masks modified asphalt: Insights from computational chemistry by Heyang Ding, Hongren Gong, Lin Cong

“…Furthermore, previous literature lacks precise elucidation of MMA’s physical modification mechanism, especially concerning the binding mode and energy composition. To address these issues, the optimal mixing temperature for MMA was recommended based on molecular dynamics (MD). …”
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Optimization design of concrete mix proportion based on support vector machine regression and enhanced genetic algorithm by Shuhong Zuo, Benyi Liu

“…Abstract Optimizing the selection of concrete proportion is the key to ensuring the strength, durability and cost-effectiveness of construction projects. …”
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Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights by Selim Demirci, Durmuş Özkan Şahin, Sercan Demirci, Armağan Gümüş, Mehmet Masum Tünçay

“…In this study, a comprehensive machine learning (ML) model was developed to predict and optimize boride coating thickness on steel surfaces based on boriding parameters such as temperature, time, boriding media, method, and alloy composition. …”
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Optimizing Virtual Power Plants Cooperation via Evolutionary Game Theory: The Role of Reward–Punishment Mechanisms by Lefeng Cheng, Pengrong Huang, Mengya Zhang, Kun Wang, Kuozhen Zhang, Tao Zou, Wentian Lu

“…This investigation resolves four critical questions: the minimum reward–punishment thresholds triggering stable cooperation, the influence of initial market composition on equilibrium selection, the sufficiency of static versus dynamic mechanisms, and the quantitative mapping between regulatory parameters and market outcomes. …”
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The influence of different aquaculture systems on growth performance, morphological characteristics, texture profile and nutritional components of Genetically Improved Farmed Tilap... by Yangxin Dai, Yuxi Wang, Yulai Dai, Jinyu Tang, Qunying Xu, Nan Xie

“…These findings highlight the significant impact of aquaculture systems on GIFT quality attributes, suggesting that system selection is pivotal for optimizing the growth, health, and marketability of GIFT, with implications for the economic and ecological benefits of GIFT farming.…”
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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

“…The models integrate farm management practices and feed nutrient composition, providing a data-driven framework for optimizing performance. …”
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Structure and Functional Properties of Proteins from Different Soybean Varieties as Affected by the 11S/7S Globulin Ratio by Yichen Hou, Lu Huang, Guangliang Xing, Xiaotian Yuan, Xiaoyan Zhang, Dongqing Dai, Xingxing Yuan, Xin Chen, Chenchen Xue

“…This study provides valuable information for the selection of soybean varieties with optimal 11S/7S ratios for processing soybean products.…”
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Optimization and Multimachine Learning Algorithms to Predict Nanometal Surface Area Transfer Parameters for Gold and Silver Nanoparticles by Steven M. E. Demers, Christopher Sobecki, Larry Deschaine

“…However, the expansion and testing of this model for nanoparticles of different metal composition is needed to develop a greater variety of nanosensors for medical and commercial applications. …”
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Insights into tobacco leaf quality deterioration under long-term storage by investigating dynamic phytochemical and metabolite profile variations by Guangwei Xiao, Lin Wang, Tingting Pan, Zhaolin Chen, Liu Yu, Hongxun Wang, Ting Min, Anhong Xiao, Min Zhou, Jie Guo, Xiaohong Tan, Shizhou Shao

“…The 210,003 grade (Hubei Central Tobacco) was selected as the experimental material, and the changes in iodine value absorbance (IV), pH, polyphenols, plastid pigments, conventional chemical compositions, and metabolite profile were analyzed at different times (T0, starting day; T1, three months; T2, five months; and T3, nine months) during storage. …”
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The Impact of As-Built Surface Characteristics of Selective-Laser-Melted Ti-6Al-4V on Early Osteoblastic Response for Potential Dental Applications by Muhammad Hassan Razzaq, Olugbenga Ayeni, Selin Köklü, Kagan Berk, Muhammad Usama Zaheer, Tim Tjardts, Franz Faupel, Salih Veziroglu, Yogendra Kumar Mishra, Mehmet Fatih Aycan, O. Cenk Aktas, Tayebeh Ameri, Sinan Sen

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Impact of Laser Power on Electrochemical Performance of CeO₂/Al6061 Alloy Through Selective Laser Melting (SLM) by Fengyong Sun, Jitai Han

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Improving the heterotrophic media of three Chlorella vulgaris mutants toward optimal color, biomass and protein productivity by Mafalda Trovão, Miguel Cunha, Gonçalo Espírito Santo, Humberto Pedroso, Ana Reis, Ana Barros, Nádia Correia, Lisa Schüler, Monya Costa, Sara Ferreira, Helena Cardoso, Márcia Ventura, João Varela, Joana Silva, Filomena Freitas, Hugo Pereira

“…Screening assays were carried out to select the most significant factors, and different nutrient concentrations were optimized by modelling biomass and protein productivity, specific growth rate, and color, via response surface methodology. …”
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