Impact of microwave processing on phytochemicals, antioxidant status, anti-nutritional factors and metabolite profile of maize flour by Alla Yaswanth Naveen Kumar, Alonkrita Chowdhury, Rajesh Kumar, Vivek Kumar Maurya, Subhasis Batabyal, Mayukh Ghosh

“…Microwave processing can enhance phytochemicals and antioxidants, and reduce anti-nutritional factors (ANFs) in food grains but optimizing processing parameters and investigating effects on overall metabolite profile are needed to ensure desirable nutritional outcomes. …”
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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

“…These models were used to optimize the reduction process and attain the requisite conditions from the cadmium hexavalent (Cd (VI)) to trivalent (Cd (III)). …”
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Gaining insights into the physicochemical properties and sequence space of blood–brain barrier penetrating peptides by Abhigyan Nath, Sneha Pandey, Kottakkaran Sooppy Nisar, Anoop Kumar Tiwari

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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

“…Abstract Concrete strength prediction is of great relevance for construction safety and quality assurance; however, these methods often trade-off their accuracy or interpretability, especially when it comes to the use of supplementary cementitious materials like fly ash in process. This study aims to build an interpretable, highly accurate model for predicting the compressive and tensile strength of concrete with a hybrid approach based on gradient boosting (XGBoost), deep neural networks (DNNs), and optimization via AutoGluon Process. …”
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Enhancing accuracy through ensemble based machine learning for intrusion detection and privacy preservation over the network of smart cities by Mudita Uppal, Yonis Gulzar, Deepali Gupta, Jayant Uppal, Mukesh Kumar, Shilpa Saini

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Business Valuation with Machine learning by P. S. Koklev

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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

“…The method can be used in secure software development processes to automatically assess the level of software security. …”
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Model of the Process of Production Requirements Management of a Coal Mining Enterprise under VUCA Conditions by S. A. Zotov

“…The study aims to design a management model that accommodates the complex nature of analytical and control processes, ultimately boosting competitiveness. This paper explores the characteristics of a methodology for handling production demands in a coal mining firm within a VUCA environment, identifying major uncertainties and their solutions. …”
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The future of critical care: AI-powered mortality prediction for acute variceal gastrointestinal bleeding and acute non-variceal gastrointestinal bleeding patients by Zhou Liu, Guijun Jiang, Liang Zhang, Palpasa Shrestha, Yugang Hu, Yi Zhu, Guang Li, Yuanguo Xiong, Liying Zhan

“…As many as 12 machine learning (ML) algorithms, namely, logistic regression (LR), decision tree (DT), random forest (RF), gradient boosting (GB), AdaBoost, XGBoost, Naive Bayes (NB), support vector machine (SVM), light gradient-boosting machine (LightGBM), K-nearest neighbors (KNN), extremely randomized trees (ET), and voting classifier (VC), were performed. …”
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Analysis of Fluorescent Carbon Nanodots Synthesized from Spices Through Thermal Processes Treatment by David Semsey, Duyen H. H. Nguyen, Gréta Törős, Vivien Papp, János Pénzes, Tamás Vida, Áron Béni, Mahendra Rai, József Prokisch

“…This study explores how thermal processing affects the formation of carbon nanodots (CNDs) in spices, revealing that higher temperatures boost CND synthesis, thus enhancing bioavailability and biological effectiveness. …”
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The Effect of TiO2 as a Photocatalytic Paint in The Indoor Air Purification Process by Ravan Allababidi

“…This report looks not only at the process of photocatalysis, but also at studies that have been carried out on its incorporation into coatings using titanium dioxide (TiO2). …”
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The Impact of Continuous and Ongoing Professional Development on the Nursing Process of Taking Care of Neurological Patients by Lenka Kopačević, Vesna Božan Mihelčić, Sonja Antić, Vida Demarin

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Sensitivities of simulated mixed-phase Arctic multilayer clouds to primary and secondary ice processes by G. Wallentin, A. Oertel, L. Ickes, P. Achtert, M. Tesche, C. Hoose

“…An accurate representation of these microphysical processes is crucial to simulate multilayer clouds.…”
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Process Intensification for Recombinant Marburg Virus Glycoprotein Production Using Drosophila S2 Cells by Sven Göbel, Ludwig Mayerlen, Isabelle Yazel Eiser, Lisa Fichtmueller, David Clements, Udo Reichl, Yvonne Genzel, AxelT. Lehrer

“…However, the existing production process for MARV‐GP involving static batch cell cultures with limited scalability and process control show lower than desirable yields. …”
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THE POST-SEDIMENTARY CHARACTER OF DEVELOPMENT OF INTRAPLATE DISLOCATIONS AS A REFLECTION OF IMPULSIVENESS OF DEFORMATION PROCESSES by V. I. Popkov

“…At the background of the long-term (tens and hundreds of million years) quiet evolution of the territory under study, short-term intervals are distinguished, which duration amounts to the first millions of years (typically manifested in one or two stratigraphic layers); in such time intervals, tectonic movements were dramatically boosted and accompanied by land uplifting, sea regression, erosion of sediments accumulated earlier and manifestation of deformation processes.The paleotectonic reconstructions show that during such ‘revolutionary’ stages, large tectonic elements occurred along with local uplifts that added to their complexity. …”
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The Wool-Processing Industry in an Era of Social Innovation. How Has the Situation Changed in the Massif Central (France)? by Jean-Baptiste Grison, Pierre-Antoine Landel

“…Consequently, there is evidence that social innovation in the wool-processing industry is a response to the crisis within this weakened sector of the economy; it also serves to boost regional dynamism in struggling and land-locked mountainous areas. …”
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A Comprehensive Review of Deep Learning Applications in Cotton Industry: From Field Monitoring to Smart Processing by Zhi-Yu Yang, Wan-Ke Xia, Hao-Qi Chu, Wen-Hao Su, Rui-Feng Wang, Haihua Wang

“…Traditional technologies such as spectral imaging and machine learning improved cotton cultivation and processing, yet their performance often falls short in complex agricultural environments. …”
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Development of a New Tomato Sauce Enriched with Bioactive Compounds Through the Use of Processing By-Products and Vegetables by Enrico Maria Milito, Lucia De Luca, Giulia Basile, Martina Calabrese, Antonello Santini, Sabato Ambrosio, Raffaele Romano

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Complex Nanomaterials in Catalysis for Chemically Significant Applications: From Synthesis and Hydrocarbon Processing to Renewable Energy Applications by Utkarsh Chadha, Senthil Kumaran Selvaraj, Hridya Ashokan, Sai P. Hariharan, V. Mathew Paul, Vishal Venkatarangan, Velmurugan Paramasivam

“…As a result, in this review, the use of nanocatalysts and the application of their special features in the renewable energy, hydrocarbon processing, and fine chemical synthesis sector was explored. …”
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Optimized Flare Performance Analysis Through Multi-Modal Machine Learning and Temporal Standard Deviation Enhancements by Said Boumaraf, Pengfei Li, Muaz Al Radi, Fares Oussama Abdelhafez, Abderaouf Behouch, Khalid Yousef Al Awadhi, Hamad Karki, Sajid Javed, Jorge Dias, Naoufel Werghi

“…We first extract sequential frames from an RGB video stream of flares and process them to extract TSD images, which essentially highlight the variability and dynamic changes in the combustion process. …”
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