Survey of deep fake audio generation and detection techniques by ZENG Zhiping, ZHANG Xulong, QU Xiaoyang, XIAO Chunguang, WANG Jianzong

“…Subsequently, an in-depth analysis was conducted on both acoustic feature-based and end-to-end model-based fake audio detection strategies, delving into details such as deep acoustic feature detection, pre-trained neural network feature detection, end-to-end model optimization, generalization enhancement techniques, and the enhancement of real-time detection. …”
Get full text

European Erasmus Programme: Main Stages and Results of Development (1987-2017) by O. N. Bogatyryova, N. V. Leskina

“…The article is devoted to the evolution of the flagship educational programmes of the European Union ERASMUS and its impact on the Europeanization of higher education. …”
Get full text

Metaverse meets distributed machine learning: A contemporary review on the development with privacy-preserving concerns by Samuel Harry Gardner, Trong-Minh Hoang, Woongsoo Na, Nhu-Ngoc Dao, Sungrae Cho

Get full text

Transcriptome-wide identification and systematic analysis of the Retrotransposon genes and their roles in ginsenoside biosynthesis in Panax ginseng by Chaofan Wang, Ruicen Liu, Dinghui Wang, Li Li, Yue Jiang, Yanfang Wang, Kangyu Wang, Mingzhu Zhao, Yi Wang, Meiping Zhang

“…However, research has primarily focused on their roles in genome structure and evolution, while their basic characteristics and impact on ginsenoside biosynthesis remain largely unexplored. …”
Get full text

A bearing fault diagnosis method based on hybrid artificial intelligence models. by Lijie Sun, Xin Tao, Yanping Lu

“…Addressing the issue of that the difficulty of incipient weak signals feature extraction influences the rolling bearing diagnosis accuracy, an efficient bearing fault diagnostic technique, a proposition is forwarded for hybrid artificial intelligence models, which integrates Improved Harris Hawks Optimization (IHHO) into the optimization of Deep Belief Networks and Extreme Learning Machines (DBN-ELM). …”
Get full text

Quality of Service Routing in Manet Using a Hybrid Intelligent Algorithm Inspired by Cuckoo Search by S. Rajalakshmi, R. Maguteeswaran

“…A hybrid computational intelligent algorithm is proposed by integrating the salient features of two different heuristic techniques to solve a multiconstrained Quality of Service Routing (QoSR) problem in Mobile Ad Hoc Networks (MANETs) is presented. …”
Get full text

The integration of psychological education and moral dilemmas from a value perspective by XiaoFen Jia, WenQing Wu

“…Abstract The rapid evolution of internet technologies has emphasized the importance of integrating psychological education with moral dilemmas across diverse sectors. …”
Get full text

Yuri Borko – a Founder of European Integration Studies in Russia by O.V. Butorina

“…His reasoning about universal and specific features of the EU experience proves seminal for the national research community. …”
Get full text

A man–vehicle e-passport system using biometric blockchain for automated border control by Bing Xu, Ahmed Bouridane, Qiang Ni, Richard Jiang

“…Since the mid-1990s, the evolution of internet technologies has significantly transformed global connectivity and digital interaction. …”
Get full text

Integrative spatial omics reveals distinct tumor-promoting multicellular niches and immunosuppressive mechanisms in Black American and White American patients with TNBC by Qian Zhu, Akhila Balasubramanian, Jaya Ruth Asirvatham, Megha Chatterjee, Badrajee Piyarathna, Jaspreet Kaur, Nada Mohamed, Ling Wu, Stacy Wang, Niloufar Pourfarrokh, Paula Danika Binsol, Mahak Bhargava, Uttam Rasaily, Yitian Xu, Junjun Zheng, Deborah Jebakumar, Arundhati Rao, Carolina Gutierrez, Angela R. Omilian, Carl Morrison, Gokul M. Das, Christine Ambrosone, Erin H. Seeley, Shu-hsia Chen, Yi Li, Eric Chang, Xiaoxian Li, Elizabeth Baker, Ritu Aneja, Xiang H.-F. Zhang, Arun Sreekumar

“…Ligand-receptor and pathway analyses further demonstrated that BA TNBC tumors exhibit a relatively “immune-cold” profile, while WA TNBC tumors display features of an “inflamed” TME, suggesting the evolution of a unique immunosuppressive mechanism. …”
Get full text

Certificateless aggregate signcryption scheme with multi-ciphertext equality test for the internet of vehicles. by Xiaodong Yang, Xilai Luo, Ruixia Liu, Songyu Li, Ke Yao

“…The Internet of Vehicles (IoV) facilitates connectivity among vehicles, roadside units, and smart terminals, enabling the evolution of traditional traffic networks into intelligent transport systems. …”
Get full text

Deep Learning-Based Medical Object Detection: A Survey by Mohammadreza Saraei, Mehrshad Lalinia, Eung-Joo Lee

“…These advancements leverage sophisticated features like Cross-Stage Partial (CSP) networks, Spatial Pyramid Pooling (SPP), and Bi-Directional Feature Pyramid Networks (BiFPN) to improve feature extraction and detection in medical images. …”
Get full text

Genome-scale metabolic modelling reveals interactions and key roles of symbiont clades in a sponge holobiont by Shan Zhang, Weizhi Song, Geogios Marinos, Silvio Waschina, Johannes Zimmermann, Christoph Kaleta, Torsten Thomas

“…Abstract Sponges harbour complex microbiomes and as ancient metazoans and important ecosystem players are emerging as powerful models to understand the evolution and ecology of symbiotic interactions. Metagenomic studies have previously described the functional features of sponge symbionts, however, little is known about the metabolic interactions and processes that occur under different environmental conditions. …”
Get full text

Novel Federated Graph Contrastive Learning for IoMT Security: Protecting Data Poisoning and Inference Attacks by Amarudin Daulay, Kalamullah Ramli, Ruki Harwahyu, Taufik Hidayat, Bernardi Pranggono

“…Malware evolution presents growing security threats for resource-constrained Internet of Medical Things (IoMT) devices. …”
Get full text

Algorithmic Shadow Spectroscopy by Hans Hon Sang Chan, Richard Meister, Matthew L. Goh, Bálint Koczor

“…We present shadow spectroscopy as a simulator-agnostic quantum algorithm for estimating energy gaps using very few circuit repetitions (shots) and no extra resources (ancilla qubits) beyond performing time evolution and measurements. The approach builds on the fundamental feature that every observable property of a quantum system must evolve according to the same harmonic components: we can reveal them by postprocessing classical shadows of time-evolved quantum states to extract a large number of time-periodic signals N_{o}∝10^{8}, whose frequencies correspond to Hamiltonian energy differences with precision limited as ϵ∝1/T for simulation time T. …”
Get full text

In the Face of the Strategic Choice: New Imperatives of World Policy by Mark A. Neymark

“…In the actual problematic refraction, the features of Russophobia in world politics, its phantoms and realities are being comprehended. …”
Get full text

Geological conditions for shale oil formation in the fourth member of Funing Formation of Eocene series in Jintan Basin by ZANG Suhua,JING Xiaoming,LIU Zhihua,YIN Yanling

“…Utilizing a range of data sources, including drilling records, core analyses, logging data, and laboratory tests from Well-J9, we extensively analyzed the geological features of the fourth member of Funing Formation. …”
Get full text

Cotton transposon-related variome reveals roles of transposon-related variations in modern cotton cultivation by Shang Liu, Hailiang Cheng, Youping Zhang, Man He, Dongyun Zuo, Qiaolian Wang, Limin Lv, Zhongxv Lin, Ji Liu, Guoli Song

“…Introduction: Transposon plays a vital role in cotton genome evolution, contributing to the expansion and divergence of genomes within the Gossypium genus. …”
Get full text

Global trends in machine learning applications for single-cell transcriptomics research by Xinyu Liu, Zhen Zhang, Chao Tan, Yinquan Ai, Hao Liu, Yuan Li, Jin Yang, Yongyan Song

“…Chinese Academy of Sciences and Harvard University emerged as core collaboration hubs, with international cooperation network primarily featuring US-China collaboration. …”
Get full text

DESIGN OF AN IMPROVED MODEL FOR CARDIOVASCULAR DISEASE DETECTION USING DEEP CANONICAL CORRELATION ANALYSIS AND BIOINSPIRED OPTIMIZATION by Prakash Chandra Sahoo, Binod Kumar Pattanayak, Rajani Kanta Mohanty, Ayasa Kanta Mohanty

“…We will go one step beyond this by using a Genetic Algorithm in combination with the Neuro-evolution of Augmenting Topologies for optimization not only for neural network architecture and hyperparameters but also for going into the process. …”
Get full text