Challenges and future perspectives of sustainable supplements, functional foods, and nutrigenomics in athletic performance by Flores Naselli, Paola Sofia Cardinale, Sonya Vasto, Patrizia Proia, Sara Baldassano, Fabio Caradonna

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Eco-friendly adsorption of Rhodamine B dye using Punica granatum peel from an aqueous medium by Rajae Ghibate, Mohammed Chrachmy, Meryem Kerrou, Meryem Ben Baaziz, Marwa Alaqarbeh, Ali Amechrouq, Rachid Taouil, Omar Senhaji

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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

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Application of international energy efficiency standards for energy auditing in a University buildings by V. Shcherbak, L. Ganushchak-Yefimenko, O. Nifatova, P. Dudko, N. Savchuk, I. Solonenchuk

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Battery State of Charge and State of Health Estimation Using a New Hybrid Deep Neural Network Approach by Saeid Jorkesh, Ryan Ahmed, Saeid Habibi, Reza Hosseininejad, Siyuan Xu

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Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation by Hossein Rabbani, Rahele Kafieh, Mahdi Kazemian Jahromi, Sahar Jorjandi, Alireza Mehri Dehnavi, Fedra Hajizadeh, Alireza Peyman

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Modeling of two-dimensional MoxW_1−xS_2ySe_2(1−y) alloy band structure by N. Yu. Pimenov, S. D. Lavrov, A. V. Kudryavtsev, A. Yu. Avdizhiyan

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Identification of Candidate Genes Associated with Meat Production of Aberdeen Angus Cattle by Vladimir Kolpakov, Elena Bukareva, Dianna Kosyan, Alexey Ruchay, Vitaly Ryazanov

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Case studies on domestic refrigerator energy rationing by implementing a hybrid PV-driven condenser cooling system by Moataz M. Abdel-Raouf, M.A. Eid, M. Elsayed, M. Salah Mansour

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Corrigendum to “Short-Term Monocular Deprivation Enhances Physiological Pupillary Oscillations” by Paola Binda, Claudia Lunghi

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COMPUTER ANALYSIS OF DATA ON GENE EXPRESSION IN BRAIN CELLS OBTAINED BY MICROARRAY TESTS AND HIGH-THROUGHPUT SEQUENCING by I. V. Medvedeva, O. V. Vishnevsky, N. S. Safronova, O. S. Kozhevnikova, M. A. Genaev, A. V. Kochetov, D. A. Afonnikov, Y. L. Orlov

“…High-throughput sequencing technologies and microarray tests permit the expression of thousands of genes to be analyzed with regard to cell location in the brain. …”
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Digitalization of mass media as a factor of influence on trust in artificial intelligence by P. V. Razov, A. V. Garaganov

“…The article discusses the influence of media digitalization on the individuals’ trust in artificial intelligence technologies. The authors study the key features associated with the current state of the media market, as well as highlight the risks that affect the development of the media and consumer confidence in them. …”
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Development of Metacognitive Skills through Digital Narratives in Higher Education by Yuliana Lavrysh, Mariya Leshchenko, Larysa Tymchuk

“…The process of digital narrative creation connects literacy, language, technologies, and metacognitive planning, debugging, monitoring, and assessment strategies. …”
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Advanced Approach of Multiagent Based Buoy Communication by Gediminas Gricius, Darius Drungilas, Arunas Andziulis, Dale Dzemydiene, Miroslav Voznak, Mindaugas Kurmis, Sergej Jakovlev

“…The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. …”
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New Instruments for the Management of Cochlear Implantation in an Individual with a Fracture of the Temporal Bone and Cochlear Ossification by Antonio Frisina, Francesco Seno, Gionata Conni

“…In this case report, we report the use of new technological instruments to optimise the surgical process of implantation. …”
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Diversity Perceptions in the UK Retail Industry: A Case of Tesco by Walid Ahmed, Asim Majeed, Ayesha Asim

“…It can be argued that with exponential technological changes like the emergence of artificial intelligence, machine learning, the internet of things (IoT), etc. retailers around the world are facing continuous challenges in keeping their business model updated and relevant for sustainable business growth and profitability. …”
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Socio-economic ecosystems development: a study based on digitalisation indicators by M. V. Alikayeva, L. O. Aslanova, B. Z. Karmova

“…The spread of information and communication technologies on social and economic processes requires a study of the digitalisation phenomenon impact on socio-economic systems. …”
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Mesenchymal Stem Cells and Tissue Bioengineering Applications in Sheep as Ideal Model by Talita D’Paula Tavares Pereira Muniz, Mariana Correa Rossi, Vânia Maria de Vasconcelos Machado, Ana Liz Garcia Alves

“…The most common technologies in tissue engineering include growth factor therapies; metal implants, such as titanium; 3D bioprinting; nanoimprinting for ceramic/polymer scaffolds; and cell therapies, such as mesenchymal stem cells (MSCs). …”
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Le relevé interdisciplinaire d’art pariétal paléolithique en trois dimensions : intérêt, méthode et premiers résultats by Priscilia Barbuti, Oscar Fuentes, Stéphane Konik, Geneviève Pinçon

“…From direct copy on tracing paper to photography and computer graphics, the methods and techniques of the archaeologists have always been related to the technological advances of their times. For the last 15 years or so, 3D has been applied to research projects in prehistoric archaeology and the study of decorated caves. …”
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Adversarial examples detection method based on boundary values invariants by Fei YAN, Minglun ZHANG, Liqiang ZHANG

“…Nowadays,deep learning has become one of the most widely studied and applied technologies in the computer field.Deep neural networks(DNNs) have achieved greatly noticeable success in many applications such as image recognition,speech,self-driving and text translation.However,deep neural networks are vulnerable to adversarial examples that are generated by perturbing correctly classified inputs to cause DNN modes to misbehave.A boundary check method based on traditional programs by fitting the distribution to find the invariants in the deep neural network was proposed and it use the invariants to detect adversarial examples.The selection of training sets was irrelevant to adversarial examples.The experiment results show that proposed method can effectively detect the current adversarial example attacks on LeNet,vgg19 model,Mnist,Cifar10 dataset,and has a low false positive rate.…”
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