SAMuS: Service-Oriented Architecture for Multisensor Surveillance in Smart Homes by Sofie Van Hoecke, Ruben Verborgh, Davy Van Deursen, Rik Van de Walle

“…The design of a service-oriented architecture for multisensor surveillance in smart homes is presented as an integrated solution enabling automatic deployment, dynamic selection, and composition of sensors. Sensors are implemented as Web-connected devices, with a uniform Web API. …”
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Comprehensive Characterization of Soy Protein, Cowpea, Moth Bean and Wheat Gluten as Functional Ingredients for the Development of Plant-Based Extruded Meat Analogues by Swaroopa Gugulothu, Agarkar B.S., Kshirsagar R.B.

“…The results provide valuable insights for optimizing raw material selection and processing conditions to improve extrusion performance and enhance the texture and quality of plant-based meat analogs.…”
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Electrochemical properties of NiTi samples in simulated root canal environments: insights from OCP and PCV analysis (an in-vitro study) running head: electrochemical properties of... by Amr Hossam Eldin Hassan Hussein, El Aziz, Sarah Abouelenien, Geraldine M. AHME

“…Conclusion: The electrochemical dissolution properties of NiTi are influenced by their material composition and the electrolyte solutions. These findings offer valuable insights for enhancing fractured instrument retrieval techniques in endodontics, underscoring the importance of material selection and electrolyte composition.…”
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Improving Forage Quality from Permanent Grasslands to Enhance Ruminant Productivity by Barbara Wróbel, Waldemar Zielewicz, Anna Paszkiewicz-Jasińska

“…Special attention is given to the role of legumes and multi-species swards in enhancing protein content and mineral composition. The review highlights that optimizing forage quality requires an integrated approach, combining agronomic practices, genetic improvements, and sustainable management strategies. …”
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From microbes to medicine: harnessing the gut microbiota to combat prostate cancer by Anjali Yadav, Meenakshi Kaushik, Prabhakar Tiwari, Rima Dada

“…Additionally, GM-based cancer therapies face limitations due to the complexity and diversity of microbial composition, and the lack of standardized protocols for manipulating gut microbiota, such as optimal probiotic selection, treatment duration, and administration timing, hindering widespread use. …”
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Prediction of tablet disintegration time based on formulations properties via artificial intelligence by comparing machine learning models and validation by Mohammed Ghazwani, Umme Hani

“…Advanced machine learning methods, including Bayesian Ridge Regression (BRR), Relevance Vector Machine (RVM), and Sparse Bayesian Learning (SBL) were utilized after comprehensive preprocessing involving outlier detection, normalization, and feature selection. Grey Wolf Optimization (GWO) was utilized for model optimization to obtain optimal combinations of hyper-parameters. …”
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Unveiling the Balkans’ advances: In vitro biotechnology of woody plants in the early 21st century by Valbona Sota, Valbona Sota, Lilyana Nacheva, Dejan Bošnjak, Eleni Abraham, Slađana Jevremović, Branislav Cvjetković, Vladislava Galović, Darko Jevremović, Zvjezdana Marković, Efigjeni Kongjika, Sanja Bogunović, Svjetlana Zeljković, Vlatko Andonovski, Vanja Daničić, Tatjana Vujović

“…The primary objectives of scientific research include optimizing media composition for all components and micropropagation stages, as well as effective initial explant selection. …”
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The development of polymeric pellicles with gentamicine sulfate for therapeutic correction of cervical erosion (pseudoerosion) by T. M. Litvinenko

“…Research on choice of optimal composition has been carried out by two-factor experiment plan. …”
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Evaluation of parameters affecting Agrobacterium-mediated transient expression in citrus by Fang LI, Su-ming DAI, Zi-niu DENG, Da-zhi LI, Gui-you LONG, Na LI, Yi LI, Alexandra Gentile

“…Our study provides research basis for the selection of optimization strategies in transient gene expression and improves the method for available genome investigation in citrus.…”
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Explainable AutoML models for predicting the strength of high-performance concrete using Optuna, SHAP and ensemble learning by Muhammad Salman Khan, Tianbo Peng, Tianbo Peng, Muhammad Adeel Khan, Asad Khan, Mahmood Ahmad, Mahmood Ahmad, Kamran Aziz, Mohanad Muayad Sabri Sabri, N. S. Abd EL-Gawaad

“…Accurately predicting key engineering properties, such as compressive and tensile strength, remains a significant challenge in high-performance concrete (HPC) due to its complex and heterogeneous composition. Early selection of optimal components and the development of reliable machine learning (ML) models can significantly reduce the time and cost associated with extensive experimentation. …”
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System Design of 3-phase Balance -Compensation Device in Traction Power Supply for EMU Test Line by 蒋家久, 陈志博, 沈辉, 王才孝

“…It introduces balance-compensation theory, composition structure of the compensation devices, parameters selection and balance control of this system. …”
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VALUATION OF TECHNOLOGICAL FEATURES OF TOBACCO SEED CULTIVATION IN UKRAINE AND ITS ECONOMIC EFFICIENCY by Hanna BIALKOVSKA, Anatoliy YURECHKO, Volodymyr PASHCHENKO

“…The production of tobacco seed varieties with optimal chemical composition will increase the efficiency of tobacco production and competitiveness of national seed production.…”
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Self-Powered p-NiO/n-ZnO Heterojunction Ultraviolet Photodetector Based on Honeycomb Nano-Mesh Structure by Nan Wang, Yang Liu, Mingyang Li, Jieting Zhao, Xiaoqi Zhang, Dayong Jiang

“…The focus of research is not only limited to the adjustment of the structure composition, but it also delves deeper into its working mechanism and performance optimization. …”
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Algorithm for the development of a multicomponent pharmaceutical substance of plant origin with antimicrobial action: from science search to dosage form by V. A. Filatov, O. Yu. Kulyak, E. I. Kalenikova

“…Development of the antimicrobial multicomponent pharmaceutical substance of plant origin in stages: from a literature search for promising substances, analysis of their composition by GC-MS, in silico evaluation of the affinity of individual components to pathogenetic targets, selection of the optimal composition of a multicomponent substance based on the results of in vitro research of antimicrobial action and the making of a medical dosage form based on it – a medicinal shampoo for the treatment of seborrheic dermatitis.Materials and methods. …”
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Predictive Analysis of Mechanical Properties in Cu-Ti Alloys: A Comprehensive Machine Learning Approach by Mihail Kolev

“…A machine learning-based approach is presented for predicting the mechanical properties of Cu-Ti alloys utilizing a dataset of various features, including compositional elements and processing parameters. The features encompass chemical composition elements such as Cu, Al, Ce, Cr, Fe, Mg, Ti, and Zr, as well as various thermo-mechanical processing parameters. …”
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Experimental study on the thermal performance of hybrid nanofluid in a compact plate heat exchanger under the influence of a magnetic field by Mutlu Tekir

“…These findings provide insights into optimizing nanofluid-based heat exchanger systems, emphasizing the need for careful selection of nanoparticle composition and magnetic field parameters to balance heat transfer performance and flow efficiency.…”
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N6-methyladenine identification using deep learning and discriminative feature integration by Salman Khan, Islam Uddin, Sumaiya Noor, Salman A. AlQahtani, Nijad Ahmad

“…To optimize computational efficiency and eliminate irrelevant or noisy features, an unsupervised Principal Component Analysis (PCA) algorithm is employed, ensuring the selection of the most informative features. …”
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Food sweeteners: Angels or clowns for human health? by Qiao-Yun Hong, Yan Huang, Jie Yang, Long-Teng Su, Zhao-Ri Dai, Cheng-Fei Zhao

“…It also offers scientific basis for formula optimization and product development in the food industry, thereby promoting public health.…”
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A Donor Registry: Genomic Analyses of Posidonia australis Seagrass Meadows Identifies Adaptive Genotypes for Future‐Proofing by Matt J. Nimbs, Tim M. Glasby, Elizabeth A. Sinclair, Daniel Swadling, Tom R. Davis, Melinda A. Coleman

“…Understanding patterns of selection and where seagrass meadows are adapted to particular environmental conditions is key for identifying optimal donor material for restoration. …”
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A Novel Approach of −80 °C Cascade Refrigeration System Using Non-Flammable Quaternary Refrigerants for Semiconductor Process Applications by Su-Been Lee, Chang-Hyo Son, Joon-Hyuk Lee

“…As cascade temperature increases, COP tends to decrease, emphasizing the need for appropriate cascade temperature selection for MR CRS performance. This study introduces a novel approach to optimizing MR composition under various operating conditions, contributing to the advancement of ultra-low temperature CRSs.…”
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