DIGITAL ECOSYSTEMS AS A DRIVER OF BUSINESS LANDSCAPE TRANSFORMATION IN THE MODERN ECONOMY by Ganna Kolomiyets, Vladуslav Korol, Dmуtro Bilіanskiy

“…The relevance of the study is due to the deployment of exponential technologies (artificial intelligence, the Internet of Things, cloud computing, etc.), which have caused and enabled the formation of digital ecosystems and will contribute to their spread. …”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…The introduction of the proposed tools will allow implementing an adaptive testing system, with an intelligent selection of questions depending on the demonstrated level of knowledge of the test person to form an individual testing trajectory in order to determine the reliable level of knowledge of the test subject for the optimal number of questions asked.…”
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Bayesian spatiotemporal modelling and mapping of malaria risk among children under five years of age in Ghana by Wisdom Kwami Takramah, Yaw Asare Afrane, Justice Moses K. Aheto

“…Thus, the study aimed to create intelligent maps of smooth relative risk of malaria in children under-5 years in Ghana that highlight high and low malaria burden in space and time to support malaria prevention, control, and elimination efforts. …”
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Development of Hybrid District Heating Systems by A. V. Sednin, K. M. Dyussenov

“…It is indicated that in order to ensure the required maneuverable properties of heat supply systems, it is necessary to develop and apply new methods of planning and managing heat supply systems, excluding a single-purpose approach in the organization of hybrid systems, which manifests a synergistic effect with new possibilities for finding optimal solutions aimed at reducing fuel consumption. The need to create an intersystem information space, which would include the creation of intelligent process control systems based on the analysis of large amounts of data, is demonstrated. …”
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Performance validation of microchannel heat sinks based on single/multiobjective topology optimization and manufactured by selective laser melting by Guangzhao Yang, Mingxuan Cao, Pingnan Huang, Linlin Pan, Xin Zhong, Liang Yang, Weiwei Guo, Matthew M.F. Yuen, Huijun Li

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Sistem Object Tracking pada Quadcopter Menggunakan Segmentasi Citra dengan Deteksi Warna HSV dan Metode Regresi Linier Berbasis Raspberry Pi by Fahmi Erza, Hurriyatul Fitriyah, Eko Setiawan

“…So this research was planned to create a system on a drone so it can detect objects and follow them. …”
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Quantitative assessment of the potential of retail outlets by K. A. Lychagin

“…The  approach  describes cybernetic  mechanisms of interaction  of agents with  the ability to adapt  to the needs of the population  based  on  the  analysis  of market  situations  in  order  to develop  intelligent  management  systems  for enterprises  to increase their market  potential  and  competitiveness.  …”
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exoALMA. VII. Benchmarking Hydrodynamics and Radiative Transfer Codes by Jaehan Bae, Mario Flock, Andrés Izquierdo, Kazuhiro Kanagawa, Tomohiro Ono, Christophe Pinte, Daniel J. Price, Giovanni P. Rosotti, Gaylor Wafflard-Fernandez, Geoffroy Lesur, ‪Frédéric Masset, Sean M. Andrews, Marcelo Barraza-Alfaro, Myriam Benisty, Gianni Cataldi, Nicolás Cuello, Pietro Curone, Ian Czekala, Stefano Facchini, Daniele Fasano, Maria Galloway-Sprietsma, Cassandra Hall, Iain Hammond, Jane Huang, Giuseppe Lodato, Cristiano Longarini, Jochen Stadler, Richard Teague, David J. Wilner, Andrew J. Winter, Lisa Wölfer, Tomohiro C. Yoshida

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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…All efforts of several years to create platforms for electronic and virtual interactions in formats such as Second Life and the like have been rearranged in a meta-universal way. …”
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3D Printing‐Based Hydrogel Dressings for Wound Healing by Xuan Zhou, Xunzhou Yu, Tingting You, Baohua Zhao, Lanlan Dong, Can Huang, Xiaoqing Zhou, Malcolm Xing, Wei Qian, Gaoxing Luo

“…Distinct from hydrogels made by traditional technologies, which lack bionic and mechanical properties, 3D printing can promptly and accurately create hydrogels with complex bioactive structures and the potential to promote tissue regeneration and wound healing. …”
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Remote Management of Heart Failure in Patients with Implantable Devices by Luca Santini, Francesco Adamo, Karim Mahfouz, Carlo Colaiaco, Ilaria Finamora, Carmine De Lucia, Nicola Danisi, Stefania Gentile, Claudia Sorrentino, Maria Grazia Romano, Luca Sangiovanni, Alessio Nardini, Fabrizio Ammirati

“…<b>Results</b>: Precise multi-parameter algorithms, available for ICD and CRT-D patients, have been created, which also use artificial intelligence and are able to predict a new heart failure event more than 30 days in advance. …”
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Emerging biomarkers for early cancer detection and diagnosis: challenges, innovations, and clinical perspectives by Sameen Zafar, Amna Hafeez, Hania Shah, Iqra Mutiullah, Arslan Ali, Khushbukhat Khan, Gabriela Figueroa-González, Octavio Daniel Reyes-Hernández, Laura Itzel Quintas-Granados, Sheila I. Peña-Corona, Lashyn N. Kiyekbayeva, Monica Butnariu, Cristina-Elena Tota, Angela Caunii, Dietrich Büsselberg, Javad Sharifi-Rad, Gerardo Leyva-Gómez

“…Liquid biopsies, nanobiosensors, artificial intelligence, and next-generation sequencing (NGS) are transforming biomarker discovery and application. …”
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A Machine-Learning-Based Analysis of Resting State Electroencephalogram Signals to Identify Latent Schizotypal and Bipolar Development in Healthy University Students by Flórián Gubics, Ádám Nagy, József Dombi, Antónia Pálfi, Zoltán Szabó, Zsolt János Viharos, Anh Tuan Hoang, Vilmos Bilicki, István Szendi

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A Black Box Approach to EV Energy Consumption: Integrating Key Parameters for Drive Range Optimization by Muhammad Arsalan Jalees Abro, Abdul Sattar Larik, Ali Alqazzaz, Irfan Ahmed Halepoto, Mana Saleh Al Reshan, Asadullah Shaikh, Samar M. Alqhtani, Jotee Kumari Lohana

“…These parameters are systematically incorporated into the model to improve the precision of energy consumption monitoring and drive range estimation. An EV model is created in AVL eSuite and, through simulation, as it plays a critical role in artificial intelligence (AI) workflows by providing a controlled environment, the model was validated using real-world data from Nissan Leaf SV Plus. …”
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Data-Driven and Machine-Learning-Based Real-Time Viscosity Measurement Using a Compliant Mechanism by Nitin V. Satpute, Pratibha Mahajan, Abhishek M. Bhagawati, Keyur G. Kulkarni, Kaustubh M. Utpat, Ganesh D. Korwar, Jagadish V. Tawade, Joanna Iwaniec, Krzysztof Kołodziejczyk

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Multi-Disciplinary Investigations on the Best Flying Wing Configuration for Hybrid Unmanned Aerial Vehicles: A New Approach to Design by Janani Priyadharshini Veeraperumal Senthil Nathan, Martin Navamani Chellapandian, Vijayanandh Raja, Parvathy Rajendran, It Ee Lee, Naveen Kumar Kulandaiyappan, Beena Stanislaus Arputharaj, Subhav Singh, Deekshant Varshney

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Development of a Novel Real-Time Weighted Surrogate Model for Wind Turbine-Based on DFIG: Enhancing Computational Efficiency in Power Systems With Error Bound by Muhammad Latif, Hira Ambreen, Tang Diyin, Farrukh Hassan, Muhammad Imran, Saddam Hussain Abbasi, Muhammad Imran

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EPLC-Pose: A Lightweight Student Posture Recognition Network Under Panoramic Classroom by Yanhong Ji, Yibo Jin, Zuxuan Wang, Suyan Tan

“…With the development of intelligence, concepts such as &#x201C;smart classroom&#x201D; have emerged, and the intelligent recognition of classroom behavior has become a hot research topic. …”
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A Community Effort to Develop Common Data Elements for Pre-Clinical Spinal Cord Injury Research by Britt A. Fedor, Abel Torres-Espin, Romana Vavrek, Maryann E. Martone, John L. Bixby, John C. Gensel, Vance Lemmon, Jeffrey S. Grethe, J. Russel Huie, Adam R. Ferguson, Karim Fouad

“…Big data approaches, together with machine learning and artificial intelligence, are frequently used to gain insight into the ever-growing complexity of biological systems and biomedical research. …”
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AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice by Marco Reisert, Fabian Bamberg, Maximilian Frederik Russe, Philipp Rebmann, Phuong Hien Tran, Elias Kellner, Elmar Kotter, Suam Kim

“…Objectives To aid in selecting the optimal artificial intelligence (AI) solution for clinical application, we directly compared performances of selected representative custom-trained or commercial classification, detection and segmentation models for fracture detection on musculoskeletal radiographs of the distal radius by aligning their outputs.Design and setting This single-centre retrospective study was conducted on a random subset of emergency department radiographs from 2008 to 2018 of the distal radius in Germany.Materials and methods An image set was created to be compatible with training and testing classification and segmentation models by annotating examinations for fractures and overlaying fracture masks, if applicable. …”
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