Multimodal Deep Feature Fusion (MMDFF) for RGB-D Tracking by Ming-xin Jiang, Chao Deng, Ming-min Zhang, Jing-song Shan, Haiyan Zhang

“…MMDFF model consists of four deep Convolutional Neural Networks (CNNs): Motion-specific CNN, RGB- specific CNN, Depth-specific CNN, and RGB-Depth correlated CNN. The depth image is encoded into three channels which are sent into depth-specific CNN to extract deep depth features. …”
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Clinical Significance and Characterization of AZT-Resistant Strains of HIV-1 by Mark A Wainberg, Ronald Rooke, Michel Tremblay, XuGuang Li, Michael A Parniak, Qing Gao, Xiao-Jian Yao, Chris Tsoukas, JSG Montaner, M Fanning, J Ruedy

“…Most of the evidence points to a series of mutations within the polymerase gene of HIV-1, which encodes viral reverse transcriptase, as being responsible for development of the drug-resistant phenotype. …”
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Microscopic Analysis of Severe Structural Rearrangements of the Plant Endoplasmic Reticulum and Golgi Caused by Overexpression of Poa semilatent virus Movement Protein by Andrey G. Solovyev, Joachim Schiemann, Sergey Y. Morozov

“…Cell-to-cell transport of plant viruses is mediated by virus-encoded movement proteins and occurs through plasmodesmata interconnecting neighboring cells in plant tissues. …”
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Real-time discrimination of earthquake signals by integrating artificial intelligence technology into IoT devices by Zhi Geng, Yanfei Wang, Wenyong Pan, Caixia Yu, Zhijing Bai, Hongzhou Zhang

“…We present an evolutionary deep learning method that yields a model named MCU-Quake. This model encodes the discrimination process as a single numerical value, offering interpretability with only 2693 parameters. …”
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Into the latent space of capacitive sensors: interpolation and synthetic data generation using variational autoencoders by Miguel Monteagudo Honrubia, Francisco Javier Herraiz-Martínez, Javier Matanza Domingo

“…In addition, the proposed search method obtains a reasonable interpolation capability by finding latent encodings that generate signals related to the target glycerin concentrations. …”
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Identification of RNA Editing Sites Reveals Functional Modifications with the Addition of Methionine to the Daily Rations of Yaks by Shiyu Wu, Xinrui Liu, Yaxin Liu, Shikai Wang, Wei Peng, Ming Zhang, Binglin Yue, Hui Wang, Jikun Wang, Jincheng Zhong, Fang Sun, Yixi Kangzhu, Jiabo Wang

“…One was located on the <i>MSRA</i> gene that regulates the reduction of methionine, and the other can make changes to the properties of encoded proteins. This provides further understanding of the mechanism of yak muscle tissue and regulation of gene expression after the addition of methionine to daily rations.…”
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Mouse Reporter Strain for Noninvasive Bioluminescent Imaging of Cells that have Undergone Cre-Mediated Recombination by Michal Safran, William Y. Kim, Andrew L. Kung, James W. Horner, Ron A. DePinho, William G. Kaelin

“…Organ-specific luciferase expression was also seen after intraparenchymal administration of an adenovirus encoding Cre. The ROSA26 L-S-L-Luc /+ strain should be useful for characterizing Cre mouse strains and for following the fate of cells that have undergone Cre-mediated recombination in vivo.…”
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Novel delivery systems for phages and lysins in the topical management of wound infections: a narrative review by Pan Yang, Jing Li, Xiumei Ma, Nan Hu, Zhangyong Song, Bin Chen, Shizhu Li

“…., hydrogel, liposomes, electrospun fibers, nanoparticles and nanoemulsion) for phages and their encoded lysins in WI management has become a hot topic. …”
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Data Delivery Method Based on Neighbor Nodes’ Information in a Mobile Ad Hoc Network by Shigeru Kashihara, Takuma Hayashi, Yuzo Taenaka, Takeshi Okuda, Suguru Yamaguchi

“…Although an existing method that employs such schemes, MAC-independent opportunistic routing and encoding (MORE), Chachulski et al. (2007), improves the efficiency of data delivery in an unstable wireless mesh network, it does not address node movement. …”
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Identification of Genes Regulating Gene Targeting by a High-Throughput Screening Approach by Fabien Delacôte, Christophe Perez, Valérie Guyot, Catherine Mikonio, Pierrick Potrel, Jean-Pierre Cabaniols, Christophe Delenda, Frédéric Pâques, Philippe Duchateau

“…We showed that siRNAs directed against the ATF7IP gene, encoding a protein involved in chromatin remodeling, stimulated HGT by a factor of three to eight, at various loci and in different cell types. …”
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Driving Style Recognition under Connected Circumstance Using a Supervised Hierarchical Bayesian Model by Depeng Chen, Zhijun Chen, Yishi Zhang, Xu Qu, Mingyang Zhang, Chaozhong Wu

“…Firstly, a novel method is established for driving behavioral encoding and raw driving data mining. Then, the Labeled Latent Dirichlet Allocation (LLDA) is proposed to understand the latent driving styles from individual driving with driving behaviors. …”
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Genetic Basis for Variation of Metalloproteinase-Associated Biochemical Activity in Venom of the Mojave Rattlesnake (Crotalus scutulatus scutulatus) by Ruben K. Dagda, Sardar Gasanov, Ysidro De La OIII, Eppie D. Rael, Carl S. Lieb

“…These findings indicate that differences in nucleotide sequences encoding the mature proteinase domain and noncoding regions contribute to differences in venom metalloproteinase activities among rattlesnakes of the same species.…”
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Essential Role of Thioredoxin 2 in Mitigating Oxidative Stress in Retinal Epithelial Cells by Eriko Sugano, Namie Murayama, Maki Takahashi, Kitako Tabata, Makoto Tamai, Hiroshi Tomita

“…The protective effect of Trx2 against oxidative stress was investigated by assessing cell viability, the kinetics of cell death, mitochondrial metabolic activity, and expression of heat shock proteins (Hsps) in Trx2-overexpressing cell lines generated by transfecting ARPE cells with an adeno-associated virus vector encoding Trx2. We show that overexpression of Trx2 reduced cell death induced by both agents when they were present in low concentrations. …”
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A Large PROP1 Gene Deletion in a Turkish Pedigree by Suheyla Gorar, Doga Turkkahraman, Kanay Yararbas

“…Alteration of the gene encoding the PROP1 may affect somatotropes, thyrotropes, and lactotropes, as well as gonadotropes and corticotropes. …”
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Fine-Tuning BERT Models for Multiclass Amharic News Document Categorization by Demeke Endalie

“…Bidirectional encoder representation from transformer (BERT) models are increasingly being employed in the development of natural language processing (NLP) systems, predominantly for English and other European languages. …”
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Universal flops of length 1 and 2 from D2-branes at surface singularities by Marina Moleti, Roberto Valandro

“…The geometry of the total space X of such a family can be encoded in a scalar field Φ, which lives in the corresponding ADE algebra and depends on the deformation parameters. …”
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Response Features Determining Spike Times by Barry J. Richmond, Mike W. Oram, Matthew C. Wiener

“…Interpreting messages encoded in single neuronal responses requires knowing which features of the responses carry information. …”
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A Classification of Basic Helix-Loop-Helix Transcription Factors of Soybean by Karen A. Hudson, Matthew E. Hudson

“…The challenge for future research remains to define functions for the bHLH factors encoded in the soybean genome, which may allow greater flexibility for genetic selection of growth and environmental adaptation in this widely grown crop.…”
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Unsupervised machine and deep learning methods for structural damage detection: A comparative study by Zilong Wang, Young‐Jin Cha

“…., K‐nearest neighbors method, Gaussian mixture models, one‐class support vector machines, density peaks‐based fast clustering method) and one deep learning method using a deep auto‐encoder are selected. Meanwhile, some modifications and improvements are made to enable these methods to detect structural damage in unsupervised novelty detection mode. …”
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Joint Identification and Sensing for Discrete Memoryless Channels by Wafa Labidi, Yaning Zhao, Christian Deppe, Holger Boche

“…Unlike Shannon’s transmission codes, which aim for message decoding, ID codes for a discrete memoryless channel (DMC) are far more efficient; their size grows doubly exponentially with the blocklength when randomized encoding is used. This indicates that when the receiver’s objective does not require decoding, the ID paradigm is significantly more efficient than traditional Shannon transmission in terms of both energy consumption and hardware complexity. …”
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