An efficient video slice encryption scheme and its application by Qinyou Huang, Luping Wang, Jie Chen

“…Full encryption algorithms have higher security compared to selective encryption, though they compromise time efficiency. …”
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Inflammatory conditions shape phenotypic and functional characteristics of lung-resident memory T cells in mice by Anna Schmidt, Jana Fuchs, Mark Dedden, Katharina Kocher, Christine Schülein, Julian Hübner, Ana Vieira Antão, Pascal Irrgang, Friederike Oltmanns, Vera Viherlehto, Natascha Leicht, Ralf Joachim Rieker, Carol Geppert, Uwe Appelt, Sebastian Zundler, Kilian Schober, Dennis Lapuente, Matthias Tenbusch

“…Abstract Lung tissue-resident memory T cells (TRM) are critical for the local control of respiratory tract infections caused by influenza A viruses (IAV). Here we compare TRM populations induced by intranasal adenoviral vector vaccines encoding hemagglutinin and nucleoprotein (NP) with those induced by an H1N1 infection in BALB/c mice. …”
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Analysis of Stainless-Steel Tape Dynamic Behavior and Its Impact on Raster Scale Formation Accuracy by Donatas Gurauskis, Albinas Kasparaitis, Edgar Sokolovskij, Jonas Matijošius, Artūras Kilikevičius

“…Additionally, the updated system exhibits enhanced performance in terms of stability, achieving higher accuracy of the raster structure compared to the previous design. These findings underscore the importance of dynamic analysis in optimizing tape displacement measurement units for high-precision raster formation processes.…”
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Remaining useful life prediction of li-ion batteries based on an improved transformer model by Qingsong Wang, Annuo Yu, Hao Ding, Ming Cheng, Giuseppe Buja

“…It showcases faster convergence speed and higher optimization accuracy compared with other baseline approaches, significantly bolstering the precision and robustness of RUL predictions.…”
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Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201. by Shan Jiang, Zhaoqian Su, Nathaniel Bloodworth, Yunchao Liu, Cristina E Martina, David G Harrison, Jens Meiler

“…Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, and HLA-C genes in humans, are expressed on all nucleated cells. …”
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MeshHSTGT: hierarchical spatio-temporal fusion for mesh network traffic forecasting by Sunlei Qian, Xiaorong Zhu

“…Abstract Accurate traffic forecasting in wireless mesh networks is critical for optimizing resource allocation and ensuring ultra-reliable low-latency communication in 6G-enabled scenarios. …”
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Ensemble learning-based predictor for driver synonymous mutation with sequence representation. by Chuanmei Bi, Yong Shi, Junfeng Xia, Zhen Liang, Zhiqiang Wu, Kai Xu, Na Cheng

“…EPEL combines five tree-based models and optimizes feature selection to enhance predictive accuracy. …”
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Soft actor-critic algorithm and improved GNN model in secure access control of disaggregated optical networks by Zhenqian Zhao, Yuhe Wang

“…Within this framework, the Soft Actor-Critic (SAC) algorithm is employed to construct a policy optimization mechanism. By integrating entropy-guided multi-objective reinforcement learning, GESAC maps encoded network states to access control strategies, jointly optimizing for security, service quality, and system resilience. …”
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Driving Path of High-quality Development of China's Artificial Intelligence Technology Industry from the Perspective of Policy Instruments by Anqi HU, Shunquan JI

“…A total of 42 policy texts were selected as the objects of analysis, and NVivo software was used to encode the text content and assign conditional variables. …”
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Engineered circular RNA-based DLL3-targeted CAR-T therapy for small cell lung cancer by Jingsheng Cai, Zheng Liu, Shaoyi Chen, Jingwei Zhang, Haoran Li, Xun Wang, Feng Yang, Shaodong Wang, Xiao Li, Yun Li, Kezhong Chen, Jun Wang, Ming Sun, Mantang Qiu

“…Electroporation conditions were then optimized for the efficient delivery of circRNA into human primary T cells. …”
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Hair growth-promoting effects of Stellera chamaejasme L. extract on C57BL/6 mice via induction of anagen phase genes by Jin-Woo Kim, Banzragch Dorjsembe, Chu Won Nho, Pahn-Shick Chang, Jin-Chul Kim

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Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model by Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy

“…Several data preprocessing techniques are employed to optimize the accuracy of the proposed work, including data encoding, data cleaning, data scaling, data skewing transformation, data balancing, and feature selection. …”
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Heartbeat on hold: cortical processing of cardiac signals during motor preparation by Elena Mussini, Andrea Zaccaro, Mauro Gianni Perrucci, Marcello Costantini, Francesca Ferri

“…The brain and heart work together to optimize responses to environmental demands, with cardiac signals influencing perception and action. …”
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Simulating non-completely positive actions via exponentiation of Hermitian-preserving maps by Fuchuan Wei, Zhenhuan Liu, Guoding Liu, Zizhao Han, Dong-Ling Deng, Zhengwei Liu

“…We analyze the sample complexity of this algorithm and prove its optimality in certain cases. Utilizing positive but not completely positive maps, this algorithm provides exponential speedups in entanglement detection and quantification compared to protocols based on single-copy operations. …”
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Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings From Images and Text by Sohee Park, Gwonsang Ryu, Daeseon Choi

“…We employed image and text encoders trained to maximize the similarity between the embeddings extracted from images and labels, optimized these cross-modal semantic embeddings and mapped them to a common semantic space to extract detailed semantic features. …”
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Predicting hospital outpatient volume using XGBoost: a machine learning approach by Lingling Zhou, Qin Zhu, Qian Chen, Ping Wang, Hao Huang

“…Meanwhile, the forecasting performance was compared with that of the Seasonal AutoRegressive Integrated Moving Average with exogenous regressors (SARIMAX) and Random Forest (RF) models. …”
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Trans amplifying mRNA vaccine expressing consensus spike elicits broad neutralization of SARS CoV 2 variants by Abhinay Gontu, Sougat Misra, Shubhada K. Chothe, Santhamani Ramasamy, Padmaja Jakka, Maurice Byukusenge, Lindsey C. LaBella, Meera Surendran Nair, Bhushan M. Jayarao, Marco Archetti, Ruth H. Nissly, Suresh V. Kuchipudi

“…Combining these two features, we designed and evaluated a TA mRNA vaccine encoding a consensus spike protein from SARS-CoV-2. …”
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The combined vaccination protocol of DNA/MVA expressing Zika virus structural proteins as efficient inducer of T and B cell immune responses by Patricia Pérez, Miguel A. Martín-Acebes, Teresa Poderoso, Adrián Lázaro-Frías, Juan-Carlos Saiz, Carlos Óscar S. Sorzano, Mariano Esteban, Juan García-Arriaza

“…All those immune parameters were significantly stronger in the heterologous DNA-ZIKV/MVA-ZIKV immunization group compared to the homologous prime/boost immunizations regimens. …”
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Tomato-Nerf: Advancing Tomato Model Reconstruction With Improved Neural Radiance Fields by Xiajun Zheng, Xinyi AI, Hao Qin, Jiacheng Rong, Zhiqin Zhang, Yan Yang, Ting Yuan, Wei Li

“…Comparative results show that Tomato-NeRF has significant advantages over Instant-NGP and MipNeRF in the tomato plant reconstruction task. …”
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Dynamic Modeling and Quantum-Enhanced Forecasting of Multi-Seasonal Energy Prices in Simulated Microgrid Environments by Ritesh Dash, Anupa Sinha, K. Jyotheeswara Reddy, C. Dhanamjayulu, Innocent Kamwa

“…The proposed AQC model encodes-32 system and market related variables into quantum states and applies adiabatic evolution to derive optimized price prediction. …”
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