Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

“…The experimental results demonstrate that the MD-SERel model performs well on both the Pesticide Registration Dataset (PRD) and the general DuIE dataset. On the PRD, compared to the optimal baseline model, the training time is 1.2 times faster, the inference time is 1.2 times faster, and the F1 score is improved by 1.5%, demonstrating its knowledge extraction capabilities in pesticide registration documents. …”
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Regulatory mechanism for host-cell contact-dependent T3SS gene expression in Vibrio parahaemolyticus by Sarunporn Tandhavanant, Hiroyuki Terashima, Hirotaka Hiyoshi, Dhira Saraswati Anggramukti, Nopadol Precha, Tetsuya Iida, Shigeaki Matsuda, Narisara Chantratita, Toshio Kodama

“…VtrN binds directly to the master regulator of Vp-PAI, the region encoding T3SS2, and represses its transcriptional activity. …”
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A Luciferase-Based Approach for Functional Screening of 5′ and 3′ Untranslated Regions of the mRNA Component for mRNA Vaccines by Maria Rubtsova, Yuliana Mokrushina, Dmitry Andreev, Maria Poteshnova, Nikita Shepelev, Mariya Koryagina, Ekaterina Moiseeva, Diana Malabuiok, Yury Prokopenko, Stanislav Terekhov, Aleksander Chernov, Elena Vodovozova, Ivan Smirnov, Olga Dontsova, Alexander Gabibov, Yury Rubtsov

“…<b>Background/Objectives</b>: The recent COVID-19 pandemic caused by SARS-CoV-2 infection has highlighted the need for protocols for rapid development of efficient screening methods to search for the optimal mRNA vaccine structures against mutable viral agents. …”
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Analyzing cryptographic algorithm efficiency with in graph-based encryption models by Yashmin Banu, Biplab Kumar Rath, Debasis Gountia

“…We have added computational performance, logical confidence, and optimality conditions of the proposed Star-based encryption model. …”
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Secreted PD-L1 alleviates inflammatory arthritis in mice through local and systemic AAV gene therapy by Wenjun Li, Wenjun Li, Junjiang Sun, Susi Feng, Ariana La Rosa, Panli Zhang, Eveline Y. Wu, Richard Loeser, Chengwen Li, Chengwen Li, Chengwen Li

“…To further improve efficacy, we explored AAV-mediated delivery of the soluble PD-L1 (sPD-L1) to CIA mice.ResultAfter intra-articular injection of AAV6 vectors expressing the optimal isoform of sPD-L1 (shPD-L1), more potency was observed when compared to wild type PD-L1, with a lower dose of AAV6/shPD-L1 needed for arthritis improvement. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Compared with GRU-CRF, the F1-score of this model is increased by 8.74%. …”
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Research on entity recognition and alignment of APT attack based on Bert and BiLSTM-CRF by Xiuzhang YANG, Guojun PENG, Zichuan LI, Yangqi LYU, Side LIU, Chenguang LI

“…Compared with GRU-CRF, the F1-score of this model is increased by 8.74%. …”
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An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. …”
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Deep Generative Modeling Based on VAE-GAN for 3D Indoor Scene Synthesis by Shuai Li, Hongjun Li

“…Second, we devise a unique generative framework based on VAE-GAN and the Bayesian optimization. This framework learns a Gaussian distribution of encoded object attributes through a VAE-GAN network, allowing for sampling and decoding of the distribution to generate new object attributes. …”
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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…Finally, the model was optimized using the combined CE-Dice loss function to achieve superior performance. …”
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Benchmarking uncertainty quantification for protein engineering. by Kevin P Greenman, Ava P Amini, Kevin K Yang

“…Additionally, we compared these metrics using one-hot encoding and pretrained language model representations, and we tested the UQ methods in retrospective active learning and Bayesian optimization settings. …”
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Decoding general error correcting codes and the role of complementarity by Yoshifumi Nakata, Takaya Matsuura, Masato Koashi

“…We demonstrate the power of the decoding circuit in a toy model of the black hole information paradox, improving decoding errors compared to previous results. In addition, we reveal that black hole dynamics may optimally encode quantum information but poorly encode classical information.…”
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Machine learning analysis of rivaroxaban solubility in mixed solvents for application in pharmaceutical crystallization by Mohammed Alqarni, Ali Alqarni

“…Using a dataset with over 250 data points and including solvents encoded with one-hot encoding, four models were compared: Gradient Boosting (GB), Light Gradient Boosting (LGB), Extra Trees (ET), and Random Forest (RF). …”
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House Market Prediction Using Machine Learning by Nicușor-Andrei ANDREI

“…This study compares tree-based machine learning algorithms for predicting Bucharest residential apartment prices. …”
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Quantum Computation via Multiport Discretized Quantum Fourier Optical Processors by Mohammad Rezai, Jawad A. Salehi

“…For instance, we demonstrate the principle by implementing the single-qubit Hadamard and the two-qubit controlled-<sc>not</sc> gates via simulation and optimization techniques. Due to various advantages of the proposed scheme, including the large information capacity of the photon wavefront, a quadratically reduced number of optical resources compared with other conventional path-encoding techniques, and dynamic programmability, the proposed scheme has the potential to be an essential contribution to linear optical quantum computing and optical quantum signal processing.…”
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Graph representation learning via enhanced GNNs and transformers by Hongrui Mu, Chengchen Zhou, Qiancheng Yu, Qunyue Mu

“…Initially, considering that edges encapsulate structural information, we enhance the original graph by superimposing edge-level positional encoding based on node-level random walk positional encoding, thus optimizing the utilization of this information. …”
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3D PCDM Probabilistic Shaping Transmission Scheme Based on Chaotic Constellation Mapping by Mengjie Wu, Bo Liu, Jianxin Ren, Yu Bai, Zeqian Guo, Shuyu Zhou, Yilan Ma, Gengyin Chen, Yongyi Yu, Xiangyu Wu, Yaya Mao, Feng Wang, Yongfeng Wu, Lilong Zhao

“…The experiment verifies the transmission of 28.64Gb&#x002F;s encrypted PCDM encoded signals on 2km 7-core fiber. At a BER is 1&#x00D7;10^-3, the encrypted PCDM encoded signals improve the BER performance about 3dB compared to the conventional unencrypted 3D 32QAM signals. …”
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ScBlkCom: An Integrated Compression Algorithm for Single-Cell RNA Sequencing Data by Zhang Yuanxin, Lu Yang, Sun Xiao, Fan Jue

“…The method partitions sequencing data into distinct blocks and applies tailored compression strategies: differential encoding for numerical attributes, Huffman coding for categorical labels, and context-adaptive encoding for sequence identifiers. …”
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A Novel Model for Predicting PM2.5 Concentrations Utilizing Graph Convolutional Networks and Transformer by Yuan Huang, Feilong Han, Qimeng Feng

“…Finally, a Huber loss is used to optimize the neural network parameters and enhance the robustness of the model. …”
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A Study of Multi-distributed Resource Equalization Allocation for Virtual Power Plants Based on Genetic-heuristic Algorithm by Haifeng Li, Tao Jin, Xian Xu, Lin Shi

“…Combining the global search capability of a genetic algorithm and the local optimization capability of an ant colony algorithm, the genetic algorithm stage adopts real-number encoding and a dynamic crossover-mutation strategy, while the ant colony algorithm stage optimizes the pheromone update mechanism to avoid premature convergence. …”
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