Research on Basic Theory and Key Technology of Ultra-High-Speed, Ultra-Large-Capacity, Ultra-Long-Haul Optical Transmission by Shaohua Yu, Qi Yang, Daojun Xue, Zhixue He, Cai Li

“…Ultra-high-speed, ultra-large-capacity and ultra-long-haul（3U）optical transmission as a new mode of communication can greatly promote the next generation of optical internet and broadband mobile communication network development and technological progress, therefore 3U has become the focus of international high-tech intellectual property and competition ground. …”
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Identification of retinol dehydrogenase 10 as a shared biomarker for metabolic dysfunction-associated steatotic liver disease and type 2 diabetes mellitus by Fangyu Li, Rui Li, Hongjun Deng

“…BackgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for type 2 diabetes mellitus (T2DM), and its early identification and intervention offer opportunities for reversing diabetes mellitus.MethodsIn this study, we identified biomarkers for the MASLD dataset (GSE33814, GSE48452) and the T2DM dataset (GSE76895 and GSE89120) by bioinformatics analysis. Next, we constructed weighted gene co-expression network (WGCNA) for disease module analysis to screen out shared genes strongly associated with diseases. …”
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Empowering MNOs with AI in 5G era by Siyu PAN, Yunyong ZHANG, Rongfang ZHANG, Di ZHANG

“…As the next generation of telecommunication standard and technology,5G makes it possible for the network to support more advanced technologies like IoT,VR/AR,etc,due to its unique features,high bandwidth and low latency.Those mushrooming new application scenarios and service demand has been bringing MNOs (mobile network operators) huge opportunities as well as challenges.With the development of AI and machine learning technology,MNOs can not only upgrade their own business but also enter more fields with the advantage of “data tunnel” to provide customized solutions for consumers.How AI can empower the MNOs in 5G era from 5 aspects was represented.First of all,the possible challenges brought by 5G were introduced.What entailed was the necessity and feasibility.Then,3 points where MNOs could focus on to carry out AI technologies were discussed,as namely intelligent network,intelligent marketing and service and industrial internet.Finally,the possible difficulties faced by MNOs when applying AI technologies in the future were forecasted.…”
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Key technologies of symbiotic transmission for 6G Internet of things by Mingjiang WU, Xianfu LEI, Li LI, Xiaohu TANG

“…mMTC (massive machine-type communication) is one of the three major application scenarios of 5G network,but it is highly likely that the truly mature Internet of everything may not be realized until the future 6G network.In order to realize the deep immersive ubiquitous connection network,6G IoT will simultaneously provide all-round services such as high data rate,low latency,high reliability and massive connections.Firstly,the 6G was prospected and the technical challenges of 6G IoT were summarized.Then the existing physical layer transmission technologies of IoT were reviewed.Next,the promising symbiotic transmission technologies for 6G IoT were introduced and discussed,which enable the possibility that active transmission and passive transmission facilitates each other and provide a new solution for 6G IoT transmission.Finally,some possible future research directions were presented for symbiotic transmission in 6G IoT.…”
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Key technologies and applications of C-V2X based vehicle-infrastructure cooperative autonomous driving by Kun WANG, Zhenjiang DONG, Fan YANG, Guyue ZHOU

“…With the evolution of vehicle-to-everything (V2X) technology, autonomous driving (AD) has entered a new stage of development, called vehicle-infrastructure cooperative autonomous driving (VICAD).Through the integrated complex cyber-physical system formed by the deep integration of “human-vehicle-road-cloud”, cooperative perception, cooperative decision-making and planning, and even cooperative control can be achieved with autonomous vehicles (AV), enhancing the safety of autonomous driving and helping to overcome various complex traffic environments.The concept and overall architecture of the complex cyber-physical system of VICAD was firstly introduced, and a series of typical application scenarios, technical principles, C-V2X performance requirements, and functional and performance requirements of the VICAD system were proposed.It can provide a reference and solution for the deep integration development of intelligent networked vehicles and intelligent transportation in the next stage.…”
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Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. by Mwenge Mulenga, Arutchelvan Rajamanikam, Suresh Kumar, Saharuddin Bin Muhammad, Subha Bhassu, Chandramathi Samudid, Aznul Qalid Md Sabri, Manjeevan Seera, Christopher Ifeanyi Eke

“…The emergence of Next Generation Sequencing (NGS) technology has catalyzed a paradigm shift in clinical diagnostics and personalized medicine, enabling unprecedented access to high-throughput microbiome data. …”
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MODERNIZATION OF THE CONTROL SYSTEM AS A TOOL TO SUPPORT THE DEVELOPMENT OF A REGIONAL BASIC UNIVERSITY by Igor L. Gonik, Olga V. Yurova, Alexander V. Tekin, Eugene V. Stegachev, Alexander V. Fetisov

“…The aim of this competition is to create an efficient and competitive network of universities, which must become a driver of socio-economic development of the regions in the next 3- 5 years. …”
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Trial protocol of an open-label pilot study of oral naltrexone–bupropion combination pharmacotherapy for the treatment of methamphetamine use disorder (the NABU trial) by Jonathan Brett, Paul S Haber, Nicholas Lintzeris, Didier Jutras-Aswad, Nadine Ezard, Brendan Clifford, Krista J Siefried, Adrian John Dunlop, Liam Acheson, Carl Moller, Michael Christmass, Kirsten Morley, Steven Shoptaw, Madhukar H Trivedi

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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…Due to the mismatch in digital skills and awareness, employees are not able to understand the reasons and potential of implementing new technology and displacement. Therefore, the next challenge in the digital ecosystem is to promote and define conditions, roadmaps and management models for implementing digital innovation strategies, for managing digital knowledge and fostering continuous innovation (Nonaka & Takeuch, 2019). …”
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USE OF INTELLEGENT AND BLOCK CHAIN TECHNOLOGIES IN INFORMATION MANAGEMENT Minsk Innovation University by U. A. Vishniakou

“…The intelligent web (web 3.0), which became the next stage in the development of the Internet is discussed. …”
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Automation of quantum dot measurement analysis via explainable machine learning by Daniel Schug, Tyler J Kovach, M A Wolfe, Jared Benson, Sanghyeok Park, J P Dodson, J Corrigan, M A Eriksson, Justyna P Zwolak

“…While image-based classification tools, such as convolutional neural networks (CNNs), can be used to verify whether a given measurement is good and thus warrants the initiation of the next phase of tuning, they do not provide any insights into how the device should be adjusted in the case of bad images. …”
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Towards a common approach for managing food allergy and serious allergic reactions (anaphylaxis) at school. GA2LEN and EFA consensus statement by Antoine Deschildre, Montserrat Alvaro‐Lozano, Antonella Muraro, Marcia Podesta, Debra deSilva, Mattia Giovannini, Simona Barni, Timothy E. Dribin, Mónica Sandoval‐Ruballos, Aikaterini Anagnostou, Alessandro Fiocchi, Alice Toniolo, Andrew Bird, Angel Sánchez Sanz, Anna Asarnoj, Anna Nowak‐Wegrzyn, Berber Vlieg‐Boerstra, Brian P. Vickery, Carina Venter, Caroline Nilsson, Cecilia Parente, Céline Demoulin, David M. Fleischer, Diola Bijlhout, Edward F. Knol, Eleanor Garrow, Emma E. Cook, Fallon Schultz, Francesca Lazzarotto, Francesca Mori, Gary Wong, Gideon Lack, Graham Roberts, Gustavo Andres Marino, H. N. G. Oude Elberink, Helen A. Brough, Hugh A. Sampson, Jay Lieberman, Jennifer Gerdts, Jing Zhao, Josefine Gradman, Julia E. M. Upton, Julie Wang, Kati Palosuo, Kirsi M. Järvinen, Kirsten Beyer, Kunling Shen, Laura Polloni, Lianne Mandelbaum, Luciana Kase Tanno, Lucy A. Bilaver, Marcus S. Shaker, Margitta Worm, Maria Said, Mary Kelly, Mary Jane Marchisotto, Michael Makris, Mikaela Odemyr, Montserrat Fernandez‐Rivas, Motohiro Ebisawa, Nandinee Patel, Pablo Rodríguez del Río, Pakit Vichyanond, Paul Turner, Pete Smith, Pilar Morón Gaspar, R. Sharon Chinthrajah, Rima Rachid, Roberta Bonaguro, Ruchi Gupta, Sabine Schnadt, Sakura Sato, Stefania Arasi, Stephanie Leonard, Sung Poblete, Susanne Halken, Thuy‐My Le, Guillaume Pouessel, Tracey Dunn, Victoria Cardona, Torsten Zuberbier

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Primary renal sarcoma in a female patient: case report by Somang Lee, Binnari Kim

“…Histopathologic examination revealed the mass to be composed of small round to oval or spindle cells with fibrous septa and a delicate vascular network. A BCOR::CCNB3 fusion was detected by next-generation sequencing–based molecular testing. …”
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Advanced high-voltage and super-stable sodium–zinc hybrid ion batteries enabled by a hydrogel electrolyte by Debin Kong, Xinru Wei, Jinshu Yue, Changzhi Ji, Jianhang Yang, Guanzhong Ma, Xia Hu, Wenting Feng, Changming Mao, Zhongtao Li, Linjie Zhi

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The Pontic Greeks, from Pontus to the Caucasus, Greece and the diaspora by Michel Bruneau

“…The exchange of populations between Turkey and Greece in 1923 resulted in their settling as refugees on the northern Balkan borders of their new homeland. Later, after the Second World War, the population of Pontic Greeks became dispersed in a world diaspora. …”
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The Role of Human Agency in Global Urban Health by Kai Michael Gensitz, Catherine Woods, Tadhg MacIntyre, Claudio R. Nigg

“…., Global Health, Planetary Health, Biodiversity-Health-Nexus), this research postulates a new multi-dimensional approach to health indicators. …”
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Optimization of Intelligent Management System for Crafts Production Based on Internet of Things by Xiaojiang Zhou, Keqi Li

“…Next, by comparing the three filtering algorithms, an error optimization algorithm can be used to optimize the filtered data errors and obtain better results. …”
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Advances in multi-omics integrated analysis methods based on the gut microbiome and their applications by Dongdong Duan, Mingyu Wang, Jinyi Han, Mengyu Li, Zhenyu Wang, Shenping Zhou, Wenshui Xin, Xinjian Li, Xinjian Li

“…With the emergence of new technologies including next-generation sequencing (NGS) and advanced techniques such as microbial community sequencing, people have begun to explore the interaction mechanisms between microorganisms and hosts at various omics levels such as genomics, transcriptomics, metabolomics, and proteomics. …”
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SynthSecureNet: An Improved Deep Learning Architecture with Application to Intelligent Violence Detection by Ntandoyenkosi Zungu, Peter Olukanmi, Pitshou Bokoro

“…First, we leverage the pre-trained weights of MobileNetV2 and ResNet50V2 to initialize the network. Next, we fine-tune the network by training it on a dataset of labeled surveillance videos, with a focus on optimizing the fusion process between the two architectures. …”
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Intelligent Digital Currency and Dynamic Coding Service System Based on Internet of Things Technology by Shanshen Li, Xin Jing

“…The nodes of alliance chain generate new blocks according to the interval of 30 s. When the node fails to complete the block generation within 30 s, it will rotate to the next node. …”
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