Machine learning discovery of the dielectric properties of strontium-containing condensed matter by Dongyang Huang, Jiaxing Fu, Chenghao Yu

“…In this work, machine learning models were successfully developed to capture the relationship between composition and dielectric properties of strontium-containing dielectrics using different algorithms, with hyperparameter optimization performed via grid search. …”
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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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Recovery of Volatile Fatty Acids from Fermentation Broth Using Ethyl Acetate as Solvent by Igor F. Fioravante, Riann De Q. Nobrega, Jean Felipe Leal Silva

“…Experimental conditions were optimized by varying the pH (2.5–4.5) and stirring time (10–60 minutes). …”
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Non-traditional plant raw materials in the production technology of flour confec-tionery products by S. M. Ovsienko, N. V. Novgorodska

“…This requires careful selection of ingredients and optimization of technological processes to ensure stability and high quality of products.…”
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Host-specific effects of Eubacterium species on Rg3-mediated modulation of osteosarcopenia in a genetically diverse mouse population by Soyeon Hong, Bao Ngoc Nguyen, Huitae Min, Hye-Young Youn, Sowoon Choi, Emmanuel Hitayezu, Kwang-Hyun Cha, Young Tae Park, Choong-Gu Lee, GyHye Yoo, Myungsuk Kim

“…Results Rg3 treatment altered gut microbiota composition aligned with osteosarcopenia phenotypes, which response varied depending on host genetics. …”
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Exploring non-invasive biomarkers for pulmonary nodule detection based on salivary microbiomics and machine learning algorithms by Chunxia Huang, Qiong Ma, Xiao Zeng, Jiawei He, Fengming You, Xi Fu, Yifeng Ren

“…Furthermore, the Bayesian optimization algorithm was used to optimize this best-performing model. …”
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Impacts of coffee parchment on growth, immunity, and gut microbiota of Nile tilapia (Oreochromis niloticus) in biofloc system by Hien Van Doan, Toungporn Uttarotai, Supreya Wannavijit, Punika Ninyamasiri, Khambou Tayamath, Tran Thi Diem Quynh, Orranee Srinual, Thanongsak Chaiyaso, Pimporn Khamtavee, Wanaporn Tapingkae

“…Microbiota analysis revealed 69 shared ASVs across treatments, with CP supplementation causing clear shifts in bacterial composition. CP5 reduced Proteobacteria abundance and microbial richness and evenness, suggesting selective modulation of gut communities. …”
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Gas Chromatography-Mass Spectrometry of Volatile Organic Impurities in Whiskey by Nataliya V. Shelekhova, Tamara M. Shelekhova, Liubov I. Skvortsova, Natalya V. Poltavskaya

“…The research revealed the optimal parameters of chromatographic separation and mass spectrometric detection. …”
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The use of machine learning methods in the development of nasal dosage forms with cerebroprotective action by B. S. Burlaka, I. F. Bielenichev

“…The use of machine learning models in pharmaceutical development will contribute to resource conservation and optimization of the composition of the formulation.…”
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Intelligent prediction and oriented design of high-hardness high-entropy ceramics by Anzhe Wang, Jicheng Liu, Linwei Guo, Kejie Qu, Haishen Xie, Yawei Li, Bin Du

“…This achievement is attributed to three key innovations: the construction of the feature space based on the Pearson correlation coefficient and genetic algorithm, along with algorithm selection and optimization through hyperparameter tuning; the novel combination of reduced-dimensionality component compositions with atomic/precursor descriptors, achieving a model R2 value of up to 0.898; the optimization of constituent elements using genetic algorithm and principal component analysis, providing direct guidance for the design of high-hardness high-entropy ceramics. …”
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Marine actinomycetes: A promising source of novel therapeutics and pharmaceutical bioactive compounds – A review by Jamal Abdulaziz Arbab Ibrahim, Satyanarayana Botcha, Subhashini Devi Prattipati

“…Pretreatment techniques, selective media, and antibiotics in enrichment culture effectively isolate new actinomycetes that produce various secondary metabolites. …”
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The impact of the nucleosome code on protein-coding sequence evolution in yeast. by Tobias Warnecke, Nizar N Batada, Laurence D Hurst

“…Coding sequence evolution was once thought to be the result of selection on optimal protein function alone. Selection can, however, also act at the RNA level, for example, to facilitate rapid translation or ensure correct splicing. …”
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Synergistic Pd-La Catalysts on ATO for Clean Conversion of Methane into Methanol and Electricity by Paulo Victor. R. Gomes, Dolores R. R. Lazar, Gabriel Silvestrin, Victoria Amatheus Maia, Rodrigo Fernando B. de Souza, Almir Oliveira Neto

“…Polarization curves and power density plots highlighted the Pd₅₀La₅₀/ATO catalyst, indicating an optimal palladium/lanthanum ratio for methanol optimization. …”
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Flowsheets for hydroxyacetone–phenol binary mixture separation: The use of special distillation methods by I. S. Gaganov, E. V. Rytova, A. K. Frolkova

“…The dependence of the composition and boiling point of the hydroxyacetone–phenol azeotrope on pressure was determined in a computational experiment (as the pressure increases, the azeotrope is enriched with phenol). …”
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Application of in-silico docking for green electrochemical quantification of prucalopride succinate in pharmaceutical, urine, and milk matrices by Ahmed R. Mohamed, Rania A. Sayed, Abdalla Shalaby, Hany Ibrahim

“…So, three distinct polyvinyl chloride sensors modulated by ionophores of cyclodextrins (α-, β-, and γ-cyclodextrins) were built, and their composition was optimized for rapid in-situ estimation of prucalopride succinate in different matrices. …”
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P71 | THE EXTRACELLULAR VESICLE POPULATIONS UNDERWENT ALTERATIONS SUBSEQUENT TO THE PRETREATMENT OF ADIPOSE-DERIVED STEM CELLS WITH MELATONIN RECEPTOR AGONIST

“…In this context, the use of tasimelteon, a selective melatonin receptor agonist, offers a novel approach to modulating melatonin receptor mediated pathways in ADSCs. …”
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Effect of the 16S rRNA Gene Hypervariable Region on the Microbiome Taxonomic Profile and Diversity in the Endangered Fish <i>Totoaba macdonaldi</i> by Itzel Soledad Pérez-Bustamante, Roberto Cruz-Flores, Jesús Antonio López-Carvallo, Samuel Sánchez-Serrano

“…However, this approach faces challenges including the co-amplification of host mitochondrial sequences and the variability in bacterial composition influenced by the selected 16S rRNA gene regions. …”
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A Comprehensive Review and Analysis of the Design Aspects, Structure, and Applications of Flexible Wearable Antennas by Sunaina Singh, Ranjan Mishra, Ankush Kapoor, Soni Singh

“…Additionally, solutions for SAR optimization, including the use of metamaterials, electromagnetic band gap (EBG) structures, and frequency-selective surfaces (FSSs), are discussed. …”
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Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties by Yunlong Li, Jialiang Tan, Cheng Qian, Xiaochao Liu, Rui Nie

“…It outlines the basic workflow, including data collection, data preprocessing, ML algorithm selection, hyperparameter optimization, model evaluation and model interpretability. …”
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Key considerations based on pharmacokinetic/pharmacodynamic in the design of antibody-drug conjugates by Yangyang Gao, Yuwei Xia, Yixin Chen, Shiqi Zhou, Yingying Fang, Jieru Yu, Leyin Zhang, Leyin Zhang, Leitao Sun, Leitao Sun, Leitao Sun

“…Through the selection of target antigen, the optimization of the linker, the optimization of novel small molecule toxins as payload, the optimization of ADC, overcoming the multi-drug resistance of ADC, improving the ADC tumor penetration of ADC, surface modification of ADC and surface bystander effect of ADC provide a more comprehensive and accurate framework for designing new ADCs.ResultsWe’ve expounded comprehensively on applying pharmacokinetics or pharmacodynamics while designing ADC to obtain higher efficacy and fewer side effects. …”
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