Cellular Immunogenicity of Novel Gene Immunogens in Mice Monitored by in Vivo Imaging by Elizaveta Starodubova, Olga Krotova, David Hallengärd, Yulia Kuzmenko, Gunnel Engström, Diana Legzdina, Oleg Latyshev, Olesja Eliseeva, Anna Karin Maltais, Vera Tunitskaya, Vadim Karpov, Andreas Bråve, Maria Isaguliants

“…To test this, we designed genes encoding human immunodeficiency virus 1 (HIV-1) reverse transcriptase (RT) fused via its N- or C-terminus to 30–amino acid-long Gly-Ala-repeat of Epstein-Barr virus nuclear antigen 1 or via the N-terminus to the transport signal of invariant chain/Ii or inserted between the cytoplasmic and luminal domains of lysosome-associated membrane protein I (LAMP). …”
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Dynamic Circuit Specialisation for Key-Based Encryption Algorithms and DNA Alignment by Tom Davidson, Fatma Abouelella, Karel Bruneel, Dirk Stroobandt

“…Next, we show the possible gains in encryption applications using an AES encoder. Our AES design shows a 20.6% area gain compared to an unoptimized hardware implementation and a 5.3% gain compared to a manually optimized third-party hardware implementation. …”
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Hyperbolic Graph Convolutional Network Relation Extraction Model Combining Dependency Syntax and Contrastive Learning by Jinzhe Li

“…Additionally, traditional pre-training encoders have issues such as an overly centralized representation of word embedding for high-frequency words, which adversely affects the model to learn contextual semantic information. …”
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A CRISPR-Cas9 system protecting E. coli against acquisition of antibiotic resistance genes by Danna Lee, Petra Muir, Sara Lundberg, August Lundholm, Linus Sandegren, Sanna Koskiniemi

“…However, one concern with the use of live bacteria is the risk of the bacteria acquiring genes encoding for AMR or virulence factors through horizontal gene transfer (HGT), and the transformation of the probiotic into a superbug. …”
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Hsp90 and cochaperones have two genetically distinct roles in regulating eEF2 function. by Melody D Fulton, Danielle J Yama, Ella Dahl, Jill L Johnson

“…The growth of Hsp90 mutants that affected eEF2 accumulation was also negatively affected by deletion of the gene encoding Hgh1. Further, mutations in yeast eEF2 that mimic disease-associated mutations in human eEF2 were negatively impacted by loss of Hgh1 and growth of one mutant was partially rescued by overexpression of Hgh1. …”
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Enhancing Image-Based JPEG Compression: ML-Driven Quantization via DCT Feature Clustering by Shahrzad Sabzavi, Reza Ghaderi

“…In this study, an auto-encoder neural network is utilized to extract DCT features from images. …”
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Deep learning-based strategies for evaluating and enhancing university teaching quality by Ying Gao

“…Multi-source data—comprising student performance data, teacher evaluations, course content, and student feedback—are used to create a robust dataset. Data encoding, standardization, and feature engineering techniques are employed to enhance model input. …”
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An Effective Self-Attention-Based Hybrid Model for Short-Term Traffic Flow Prediction by Zhihong Li, Xiaoyu Wang, Kairan Yang

“…The proposed model includes an encoder-decoder neural network module and a self-attention mechanism module. …”
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Distinct cellular toxicity of two mutant huntingtin mRNA variants due to translation regulation. by Haifei Xu, Juan Ji An, Baoji Xu

“…The gene generates two mRNA variants that carry either a short or long 3' untranslated region (3'UTR) while encoding the same protein. It remains unknown whether the two mRNA variants play distinct roles in HD pathogenesis. …”
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DRRN: Differential rectification & refinement network for ischemic infarct segmentation by Wenxue Zhou, Wenming Yang, Qingmin Liao

“…Specifically, a differential feature perception encoder (DFPE) is developed to fully exploit and propagate the bilateral quasi‐symmetry of healthy brains. …”
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A novel broad-spectrum bacteriophage cocktail against methicillin-resistant Staphylococcus aureus: Isolation, characterization, and therapeutic potential in a mastitis mouse model. by Maryam Banar, Haniyeh Kamyab, Narges Torkashvand, Taghi Zahraei Salehi, Zargham Sepehrizadeh, Ahmad Reza Shahverdi, Mohammad Reza Pourmand, Mohammad Hossein Yazdi

“…In silico analyses have confirmed the absence of antimicrobial resistance or virulence factor-encoding genes within their genomes. According to the results, combining these phages augmented their host range and virulence. …”
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PTF-SimCM: A Simple Contrastive Model with Polysemous Text Fusion for Visual Similarity Metric by Xinpan Yuan, Xinxin Mao, Wei Xia, Zhiqi Zhang, Shaojun Xie, Chengyuan Zhang

“…We apply a cross-modal model for text modality rather than a standard unimodal text encoder to improve late fusion productivity. In addition, the proposed model employs Sentence PIE-Net to solve the issue caused by polysemous sentences. …”
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A radix‐8 modulo 2n multiplier using area and power‐optimized hard multiple generator by Naveen Kr. Kabra, Zuber M. Patel

“…When the radix‐8 booth‐encoded technique is adopted to design this kind of multipliers, the hard multiple generator is crucial in terms of area, power, and delay. …”
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Dual Embedding Transformer Network for Hyperspectral Unmixing by Huadong Yang, Chengbi Zhang

“…To achieve the spatial and spectral feature representation of hyperspectral images, we propose a dual embedding transformer network (DET-Net) based on an encoder-decoder architecture, which utilizes two transformer modules, including three-view spatial attention (TVA) module with 2-D embedding and multiscale spectral band group feature fusion (BGF) module with 3-D embedding to accomplish the task of hyperspectral unmixing. …”
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Sparse Representation-Based LDCT Image Quality Assessment Using the JND Model by Mo Shen, Rongrong Sun, Wen Ye

“…Subsequently, noticeable patches of the image are encoded via sparse representation, followed by max pooling to obtain sparse features. …”
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Landscape Of HOXA Genes Methylation in Colorectal Cancer by Muhiddin Ishak, Rashidah Baharudin, Loh Teng-Hern Tan, Learn-Han Lee, Nurul-Syakima Ab Mutalib

“…The HOXA gene cluster is a family of Homeobox A genes encoding transcriptional regulators that play vital roles in cancer susceptibility and progression. …”
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FAULT DIAGNOSIS OF PLANETARY GEAR BOX BASED ON SENSITIVE TRANSIERT IMPACT FEATURE EXTRACTION AND HIERARCHICAL EXTREME LEARNING MACHINE by QIN Bo, YIN Heng, WANG Zhuo, ZHAO WenJun, MA Tao, WANG JianGuo

“…Secondly,the de-noising automatic encoder is used to make the input weight and threshold of the implicit learning node of the extreme learning machine satisfy the orthogonal condition to realize the layering of its hidden layers.Finally,the above eigenvector set is used as the input of the hierarchical extreme learning machine,and the fault classification model of the planetary gearbox solar wheel is established through training. …”
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Structure preserved ordinal unsupervised domain adaptation by Qing Tian, Canyu Sun

“…More specifically, on one hand, the global structure information was modeled and embedded into an auto-encoder framework via a low-rank transferred structure matrix. …”
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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Data preprocessing steps include handling missing values, encoding categorical variables, calculating geospatial distances, and normalizing data. …”
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Chronic active Epstein‒Barr virus colitis, a rare cause of recurrent diarrhea in an immunocompetent female: a case report by Mei Liang, Junyan Qu

“…Colonoscopy revealed multiple mucosal erosion and edema in the colon, EBV-encoded small RNA 1/2 in situ hybridization in the pathological tissue of the colon was positive (20/HP), and EBVDNA in the peripheral blood was positive. …”
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