Ecological-Epizootiological Differentiation of Natural Plague Foci by V. M. Dubyansky, A. Kh. Khalidov

“…The put forward differentiation of focal areas allows for searching the common patterns of plague epizootic process in foci with different species of hosts and vectors, plague microbe variants and geographic setting, as well as for additional typification alongside the existing ones.…”
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Functionalisation of Virus-Like Particles Enhances Antitumour Immune Responses by Katrin Kramer, Farah Al-Barwani, Margaret A. Baird, Vivienne L. Young, David S. Larsen, Vernon K. Ward, Sarah L. Young

“…This study showed that functionalisation of RHDV VLP by addition of an epitope-processing linker and mannosylation of the surface facilitates the efficacy of VLP as vaccination vectors for tumour immunotherapy.…”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…Annotation: The article investigates the process of filling data gaps in a small-sized collection, which generalizes information about periodic measurement of input and output parameters of a target object. …”
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Effect of Precipitates on Dislocation Loops in Vanadium Alloy After Irradiation with 60 keV Deuterium Ions at Room Temperature by Jing Wang, Mingxin Chen, Yifan Zhang, Bing Ma, Haiyan Jiang, Chang Chen

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An Embedding-Based Semantic Analysis Approach: A Preliminary Study on Redundancy Detection in Psychological Concepts Operationalized by Scales by Zhen Huang, Yitian Long, Kaiping Peng, Song Tong

“…This study introduces an Embedding-based Semantic Analysis Approach (ESAA) for detecting redundancy in psychological concepts, which are operationalized through their respective scales, using natural language processing techniques. The ESAA utilizes OpenAI’s text-embedding-3-large model to generate high-dimensional semantic vectors (i.e., embeddings) of scale items and applies hierarchical clustering to group semantically similar items, revealing potential redundancy. …”
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Ubiquitous memory augmentation via mobile multimodal embedding system by Dongqi Cai, Shangguang Wang, Chen Peng, Zeling Zhang, Zhenyan Lu, Tao Qi, Nicholas D. Lane, Mengwei Xu

“…Recently, multimodal embedding models have been proposed to vectorize multimodal reality into a unified embedding space. …”
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AlexCapsNet: An Integrated Architecture for Image Classification With Background Noise by Muyi Bao, Nanlin Jin, Ming Xu

“…Capsule networks (CapsNet) are a pioneering architecture that can encode image features into vectors rather than scalars, addressing the limitations of traditional Convolutional Neural Networks (CNNs). …”
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Enhancement in Bearing Fault Classification Parameters Using Gaussian Mixture Models and Mel Frequency Cepstral Coefficients Features by Youcef ATMANI, Said RECHAK, Ammar MESLOUB, Larbi HEMMOUCHE

“…In every test performed, the generated features vectors are considered along to discriminate between four fault conditions as normal bearings, bearings with inner and outer race faults and ball faults. …”
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HALFORD MACKINDER AND THE GEOGRAPHICAL FORMATION OF POLITICS IN THE EARLY by Artamoshin S. V., Sagimbaev A.V., Fedin A.V.

“…His approach involved identifying key geographical regions of the world that influenced the vectors of European politics in the late 19th – early 20th centuries. …”
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Reverse Engineering of Free-Form Surface Based on the Closed-Loop Theory by Xue Ming He, Jun Fei He, Mei Ping Wu, Rong Zhang, Xiao Gang Ji

“…Based on this, a new method of adaptive measurement, real-time reconstruction, and online evaluation of free-form surface was presented in this paper. The coordinates and vectors of the prediction points are calculated according to a Bézier curve which is fitted by measured points. …”
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Penetration Testing and Attack Automation Simulation: Deep Reinforcement Learning Approach by Ismael Jabr, Yanal Salman, Motasem Shqair, Amjad Hawash

“…Experimental tests conducted in this work reveal the effectiveness of DQN automated penetration testing by utilizing the most effective attack vectors in the attack automation process…”
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A Practical Implementation of Post-Quantum Cryptography for Secure Wireless Communication by Babatunde Ojetunde, Takuya Kurihara, Kazuto Yano, Toshikazu Sakano, Hiroyuki Yokoyama

“…The extended PQC-based protocols use a sequence number-based mechanism to effectively counter replay and man-in-the-middle attacks and mitigate standard cybersecurity attack vectors. Experimental evaluations examined encryption/decryption speeds, throughput, and processing overhead for the standalone PQC and the PQC–AES hybrid schemes, benchmarking them against traditional AES-256 in an existing client–server environment. …”
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Medical image segmentation assisted with clinical inputs via language encoder in a deep learning framework by Hengrui Zhao, Biling Wang, Deepkumar Mistry, Jing Wang, Michael Dohopolski, Daniel Yang, Weiguo Lu, Steve Jiang, Dan Nguyen

“…A transformer-based text encoder converts textual clinical data into vectors, which are incorporated into the segmentation process with image features. …”
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The Epidemic Risk of Dengue Fever in Japan: Climate Change and Seasonality by Xia Wang, Hiroshi Nishiura

“…Dengue fever is a leading cause of illness and death in the tropics and subtropics, and the disease has become a threat to many nonendemic countries where the competent vectors such as Aedes albopictus and Aedes aegypti are abundant. …”
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Evaluation of an inducible knockout system in insect cells based on co-infection and CRISPR/Cas9. by Christina Sophie Hausjell, Miriam Klausberger, Wolfgang Ernst, Reingard Grabherr

“…However, the co-formation of budded baculovirus during VLP production poses a severe challenge to downstream processing. In order to reduce the amount of budded baculovirus in the expression supernatant we developed an inducible knockout system based on CRISPR/Cas9 and co-infection with two baculoviral vectors: one bringing along the Cas9 nuclease and the other one having incorporated the sequence for sgRNA expression. …”
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GMTP: Enhanced Travel Time Prediction with Graph Attention Network and BERT Integration by Ting Liu, Yuan Liu

“…(1) Background: Existing Vehicle travel time prediction applications face challenges in modeling complex road network and handling irregular spatiotemporal traffic state propagation. (2) Methods: To address these issues, we propose a Graph Attention-based Multi-Spatiotemporal Features for Travel Time Prediction (GMTP) model, which integrates an enhanced graph attention network (GATv2) and Bidirectional Encoder Representations from Transformers (BERT) to analyze dynamic correlations across spatial and temporal dimensions. The pre-training process consists of two blocks: the Road Segment Interaction Pattern to Enhance GATv2, which generates road segment representation vectors, and a traffic congestion-aware trajectory encoder by incorporating a shared attention mechanism for high computational efficiency. …”
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Fraud Detection Based on Credit Review Texts with Dual Channel Memory Networks by Yansong Wang, Defu Lian, Enhong Chen

“…Graph neural networks and memory networks have strong capabilities for processing the textual data containing massive complex associations, providing a new perspective for fraud detection. …”
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Both strands of siRNA have potential to guide posttranscriptional gene silencing in mammalian cells. by Jun-Xia Wei, Jie Yang, Ji-Feng Sun, Lin-Tao Jia, Yong Zhang, Hui-Zhong Zhang, Xia Li, Yan-Ling Meng, Li-Bo Yao, An-Gang Yang

“…Transfection of the synthetic siRNA duplexes with different thermodynamic profiles or short hairpin RNA (shRNA) vectors that generate double-stranded RNAs (dsRNAs), permitting processing specifically from either the 5' or 3' end of the incipient siRNA, results in the degradation of the respective target mRNAs of either strand of the siRNA duplex with comparable efficiencies. …”
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The analysis of artificial intelligence knowledge graphs for online music learning platform under deep learning by Shen Jiang, Ningning Shi, Chang Liu

“…In addition, the platform can maintain high accuracy when processing sparse data, demonstrating stronger robustness and adaptability. …”
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Drug-Drug interactions prediction calculations between cardiovascular drugs and antidepressants for discovering the potential co-medication risks. by Tie Hua Zhou, Tian Yu Jin, Xi Wei Wang, Ling Wang

“…First, we map feature vectors representing drugs in different feature spaces to the same. …”
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