An Efficient Frequency Domain Based Attribution and Detection Network by Junbin Zhang, Yixiao Wang, Hamid Reza Tohidypour, Panos Nasiopoulos

“…People nowadays can easily synthesize high fidelity fake images with different types of image content due to the rapid advances of deep learning technologies. Detecting such images and attributing them to their generative models (GMs) is crucial. …”
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Parenting in the Digital Age: A Scoping Review of Digital Early Childhood Parenting Interventions in Low- and Middle-Income Countries (LMIC) by Lena Jäggi, Lena Jäggi, Stella M. Hartinger, Stella M. Hartinger, Stella M. Hartinger, Günther Fink, Günther Fink, Dana C. McCoy, Milagros Alvarado Llatance, Milagros Alvarado Llatance, Kristen Hinckley, Kristen Hinckley, Kristen Hinckley, Lucero Ramirez-Varela, Leonel Aguilar, Andreana Castellanos, Daniel Mäusezahl, Daniel Mäusezahl, Daniel Mäusezahl

“…These interventions included digital-only and hybrid approaches, leveraging technologies for tasks such as sharing health and ECD information, reminders, group chats, or screening. …”
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Corporate social responsibility and sustainable development in the context of environmental challenges by D. V. Voyko, A. V. Voyko

“…Corporate sustainable development imposes attention to environmental problems that makes companies to switch to environmentally friendly technologies, reducing carbon emission, cutting natural sources’ deployment. …”
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An environment adaptive gesture recognition system based on visible light by Zhu WANG, Hualei ZHANG, Qianhong HU, Zhiwen YU

“…Gesture-based human-machine interaction is becoming more and more important, which can provide users with a better experience in scenarios such as video games and virtual reality.In recent years, researchers have explored different sensing technologies to facilitate gesture recognition, including RF signal, acoustic signal, etc.Compared with these approaches, visible light-based gesture recognition is a more pervasive option.The basic principle is that different gestures will produce unique shadow patterns as they block the visible light, and gesture recognition can be achieved by capturing shadow changes through photoelectric sensors.To address the environment-dependent problem faced by existing solutions, a digit gesture recognition system was designed based on the photoelectric sensor array.In particular, by modeling recordings of the sensor array as images, the temporal and spatial correlation between different sensor recordings was discovered.An environment adaptive gesture recognition method was designed based on CNN-RNN by fusing the spatio-temporal features.To verify the effectiveness of the proposed method, a prototype gesture recognition system was designed, named Vi-Gesture.Experimental results show that the proposed method outperforms baselines by more than 10% in recognition accuracy.…”
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A Study on Intelligent User-Centric Logistics Service Model Using Ontology by Saraswathi Sivamani, Kyunghun Kwak, Yongyun Cho

“…The services in the recent logistics environment aim for situation based logistics service centered around the user by utilizing various information technologies such as mobile devices, computer systems, and GPS. …”
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Evaluation of Noninvasive Diagnostic Techniques in Identifying Coronary Artery Disease: A Systematic Review by Shahad Mubarak Alajmi, Fahad Homoud Aljabbari, Hussain Abdullah Alabdullah, Reema Mohammed Alshehri, Hadi Abdulhakim Rashid, Ali Mohammad Alyami, Abdulrahman Ahmad Alahmadi, Hussain Ammar Almaqtouf, Mada Ali Alghamdi, Maream Abdulmohsen Aldehniam, Norah Saeed Kadasah, Ahmed Aljizeeri

“…By exploring new strategies beyond CCTA and leveraging technological innovations, health-care providers can improve diagnostic precision, mitigate procedural risks, and ultimately enhance outcomes for individuals with CAD.…”
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The Role of In-Store Consumer Movements in Purchase Decision by Selim Çam, Murat Fatih Tuna

“…Through these centres, consumers can both access sub-services related to telecommunication services and purchase the technologies that will enable this access. The fact that the telecommunications sector has become a locomotive sector in many countries worldwide makes it necessary to understand customers' behaviour. …”
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Discriminative training of spiking neural networks organised in columns for stream‐based biometric authentication by Enrique Argones Rúa, Tim Vanhamme, Davy Preuveneers, Wouter Joosen

“…SNNs have proven advantages regarding energy consumption and they are a perfect match with some proposed neuromorphic hardware chips, which can lead to a broader adoption of user device applications of artificial intelligence technologies. One of the challenges when using SNNs is the discriminative training of the network since it is not straightforward to apply the well‐known error backpropagation (EBP), massively used in traditional artificial neural networks (ANNs). …”
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The concept of industrial quasi-market: Tracing the research programme evolution by Oksana V. Komarova, Natalya Yu. Yaroshevich

“…The findings refine the theoretical understandings of the industrial markets’ development, primarily of complex technological products, and allow designing methods for measuring the efficiency of market structures as well as industrial policy methods.…”
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CREATION OF AN ACTIVE ELEMENT OF A NEW BRANCH OF KNOWLEDGE ECONOMY – THE DIGITAL ECONOMY by V. L. Souponitsky, M. I. Kuternin, Ya. D. Vishnyakov

“…Creating associations in the field of breakthrough technologies is the best way to activate Russia's intellectual potential.…”
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How the question of innovation is addressed by the social sciences by Jean Corneloup

“…While the 20th century was marked by important technological, political, economic and cultural changes, the current era seems to be increasingly bent on imposing innovation as a motor for the development of society. …”
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Modulatory effects of Lactiplantibacillus plantarum on chronic metabolic diseases by Lei Tian, Ruixiang Zhao, Xinyi Xu, Zhiwei Zhou, Xiaofang Xu, Dongmei Luo, Zhiqiang Zhou, Yu Liu, Ariel Kushmaro, Robert S. Marks, András Dinnyés, Qun Sun

“…Furthermore, updated applications and technologies of L. plantarum in food and biopharmaceutical industries are also discussed. …”
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Operationalizing transformative capacity: State policy and the financing of sustainable energy transitions in developing countries by Amanda-Leigh O'Connell, Johan Schot

“…We responded to the critical challenge of financing in developing and emerging contexts where significant financing gaps contribute to the inequitable deployment of renewable energy technologies. A critical realist case study design explored South Africa's transition to green hydrogen as an instrumental case to understand how policy instruments—regulative, economic, and informational—interact with financing social structures to enable or constrain transformative change in financing the energy transition. …”
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STRATEGIES FOR INTERNATIONAL ENTERPRISE COMPETITION by Eugeniusz Michalski

“…Enterprises must recognize and compare the factors that compose foreign environments, especially the state and local governmental politics, legal regulations, economic and financial forces, cultural differences, business ethics, technological development, infrastructure, natural resources protections, sociological and demographic issues. …”
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Sensory Precipitation Forecast Using Artificial Neural Networks and Decision Trees by Ünal Kızıl, Hakkı Fırat Altınbilek, Sefa Aksu, Hakan Nar

“…With state of the art sensor technologies, the development of mini weather stations has become easier. …”
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On the Methodology for Calculating the Economic Efficiency of Energy Storage Systems by K. V. Dobrego, S. A. Fursov, S. S. Dubnovitski, V. L. Charvinski

“…Conceptual documents have been developed in the Republic of Belarus and the Russian Federation stating the need to modernize the regulatory framework for the use of ESS, create scientific support for the development of ESS technologies, centers of competence and of the implementation of pilot projects. …”
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Intelligent task-oriented semantic communication method in artificial intelligence of things by Chuanhong LIU, Caili GUO, Yang YANG, Chunyan FENG, Qizheng SUN, Jiujiu CHEN

“…With the integration and development of Internet of things (IoT) and artificial intelligence (AI) technologies, traditional data centralized cloud computing processing methods are difficult to effectively remove a large amount of redundant information in data, which brings challenges to the low-latency and high-precision requirements of intelligent tasks in the artificial intelligence of things (AIoT).In response to this challenge, a semantic communication method oriented to intelligent tasks in AIoT was proposed based on the deep learning method.For image classification tasks, convolutional neural networks (CNN) were used on IoT devices to extract image feature maps.Starting from semantic concepts, semantic concepts and feature maps were associated to extract semantic relationships.Based on the semantic relationships, semantic compression was implemented to reduce the pressure of network transmission and the processing delay of intelligent tasks.Experimental and simulation results show that, compared with traditional communication scheme, the proposed method is only about 0.8% of the traditional scheme, and at the same time it has higher classification task performance.Compared with the scheme that all feature maps are transmitted, the transmission delay of the proposed method is reduced by 80% and the effective accuracy of image classification task is greatly improved.…”
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Telepsychology in France Following the COVID-19 Crisis <subtitle>From Changes in Practice to Ethical Considerations</subtitle> by Lise Haddouk, Benoît Schneider, Tom Van Daele, Fredi Lang

“…Abstract: Introduction: In cyberpsychology, telepsychology means providing psychological services using telecommunication technologies. Telepsychology has been increasingly implemented since the late 1990s. …”
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Effects of Multipolar Radiofrequency and Pulsed Electromagnetic Field Treatment for Face and Neck Rejuvenation by Thais Cristina Ferraz de Oliveira, Sheyla de Fatima Soares Rocha, Daniel Gontijo Ramos, Camila Gontijo Ramos, Michelle Vanessa dos Anjos Carvalho, Mariana Gontijo Ramos

“…In recent years, the demands to noninvasive treatments for facial rejuvenation increased, along with a variety of technologies and devices, such as radiofrequency. The present study aimed to evaluate the clinical effects of a multipolar radiofrequency and pulsed electromagnetic field treatment for face and neck rejuvenation. …”
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The Role of Digital Feedback on the Self-Esteem of Digital Natives by Şakir Güler, Murat Sezgin

“…The development of web technologies makes virtual platforms as an inseparable part of human life. …”
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