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  1. 1761

    Face Recognition Method for Underground Engineering Based on Dual-Target Domain Adaptation and Discriminative Feature Learning by Yongqiang Yu, Cong Guo, Lidan Fan, Jiyun Zhang, Liwei Yu, Peitao Li

    Published 2025-01-01
    “…<xref ref-type="disp-formula" rid="deqn2">(2)</xref> Dedicated encoders, center loss, and triplet loss can improve the DFL ability of the model. …”
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  2. 1762

    Analysis of color and texture characteristics of cereals on digital images by E. G. Komyshev, M. A. Genaev, D. A. Afonnikov

    Published 2020-07-01
    “…Genetic control of the color formation of both grains and other plant organs is exerted by genes encoding enzymes involved in the biosynthesis of pigments, as well as regulatory genes. …”
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  3. 1763

    Genome-wide identification and expression analysis of GRAS transcription factors under cold stress in diploid and triploid Eucalyptus by Jiannan Liu, Hao Chen, Chenhe Li, Kang Du, Jun Yang

    Published 2025-01-01
    “…The physical and chemical properties of the proteins encoded by EgrGRAS genes vary, but the ranges of amino acid numbers, molecular weights, and isoelectric points (pI) are similar to those of GRAS proteins from other species. …”
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  4. 1764

    Four MES genes from calamondin (Citrofortunella microcarpa) regulated citrus bacterial canker resistance through the plant hormone pathway by Yu-Xiong Xiao, Cui Xiao, Zhu Tong, Xiu-Juan He, Ze-Qiong Wang, Hai-Yue Zhang, Wen-Ming Qiu

    Published 2025-01-01
    “…Subcellular localization analysis showed that the four MES-encoding proteins were localized in the cytoplasm. …”
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  5. 1765

    The helper strategy in vector-transmission of plant viruses by Di Mattia, Jérémy, Zeddam, Jean-Louis, Uzest, Marilyne, Blanc, Stéphane

    Published 2023-03-01
    “…An intriguing aspect of vector-transmission of plant viruses is the frequent involvement of a helper component (HC). HCs are virus-encoded non-structural proteins produced in infected plant cells that are mandatory for the transmission success. …”
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  6. 1766

    Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

    Published 2025-03-01
    “…This study is the first to explore the application of Transformers for malware detection using process resource-utilization metrics, encoding input data as sequences of processes, with each process represented by its resource-utilization metrics (e.g., CPU, memory, and disk usage). …”
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  7. 1767

    Effect of vasopressin on the expression of genes for key enzymes of interstitial hyaluronan turnover and concentration ability in WAG rat kidneys by L. N. Ivanova, A. V. Babina, G. S. Baturina, L. E. Katkova

    Published 2016-05-01
    “…The expression of the genes encoding hyaluronan synthase-2 (Has2) and hyaluronidase-1, 2 (Hyal1, Hyal2) in the kidneys of Wistar Albino Glaxo (WAG) was studied. …”
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  8. 1768

    PaleAle 6.0: Prediction of Protein Relative Solvent Accessibility by Leveraging Pre-Trained Language Models (PLMs) by Wafa Alanazi, Di Meng, Gianluca Pollastri

    Published 2025-01-01
    “…We present a deep neural network architecture based on a combination of bidirectional recurrent neural networks and convolutional layers that can analyze long-range interactions within protein sequences and predict protein RSA using ESM-2 encoding. The final predictor, PaleAle 6.0, predicts RSA in real values as well as two-state (exposure threshold of 25%) and four-state (exposure thresholds of 4%, 25%, and 50%) discrete classifications. …”
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  9. 1769
  10. 1770

    Variation in APOL1 Contributes to Ancestry-Level Differences in HDLc-Kidney Function Association by Amy Rebecca Bentley, Ayo P. Doumatey, Guanjie Chen, Hanxia Huang, Jie Zhou, Daniel Shriner, CongQing Jiang, Zhenjian Zhang, Guozheng Liu, Olufemi Fasanmade, Thomas Johnson, Johnnie Oli, Godfrey Okafor, Benjamin A. Eghan, Kofi Agyenim-Boateng, Jokotade Adeleye, Williams Balogun, Clement Adebamowo, Albert Amoah, Joseph Acheampong, Adebowale Adeyemo, Charles N. Rotimi

    Published 2012-01-01
    “…To further explore the findings in African ancestry populations, we investigated the role of an African ancestry-specific nephropathy risk variant, rs73885319, in the gene encoding HDL-associated APOL1. Among AA, an inverse HDLc-eGFR association was observed only with the risk genotype (−0.38 versus 0.001; P=0.03). …”
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  11. 1771

    Vascular Contractility Relies on Integrity of Progranulin Pathway: Insights Into Mitochondrial Function by Shubhnita Singh, Ariane Bruder, Rafael M. Costa, Juliano V. Alves, Sivakama Bharathi, Eric S. Goetzman, Thiago Bruder‐Nascimento

    Published 2025-02-01
    “…The progranulin gene (GRN) encodes glycoprotein PGRN (progranulin), a ubiquitous molecule with known anti‐inflammatory property. …”
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  12. 1772

    A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy by Abdelbaset Mohamed Elasbali, Farah Anjum, Osama A. AlKhamees, Waleed Abu Al-Soud, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

    Published 2025-02-01
    “…BackgroundDystrophin is a key protein encoded by the DMD gene, serves as a scaffold linking the cytoskeleton to the extracellular matrix that plays a critical role in muscle contraction, relaxation, and structural integrity. …”
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  13. 1773

    Harnessing the potential of chloroplast-derived expression elements for enhanced production of cellulases in Escherichia coli by Ayesha Siddiqui, Muhammad Mudassar Iqbal, Asad Ali, Iqra Fatima, Hazrat Ali, Aamir Shehzad, Sameer H. Qari, Ghulam Raza, Muhammad Aamer Mehmood, Peter J. Nixon, Niaz Ahmad

    Published 2025-01-01
    “…In this study, two cellulases (β-glucosidase and endoglucanase) were heterologously expressed in Escherichia coli under a chloroplast-derived constitutive promoter and expression-enhancing terminator. The genes encoding the cellulases were sourced from a thermophilic bacterium Thermotoga maritima to exploit their industrially needed thermotolerance potential. …”
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  14. 1774

    Comparison of clinical metagenomics with 16S rDNA Sanger sequencing for the bacteriological diagnosis of culture-negative samples by Camille d’Humières, Skerdi Haviari, Marie Petitjean, Laurène Deconinck, Signara Gueye, Nathan Peiffer-Smadja, Lynda Chalal, Naima Beldjoudi, Geoffrey Rossi, Yann Nguyen, Charles Burdet, Ségolène Perrineau, Diane Le Pluart, Roza Rahli, Michael Thy, Piotr Szychowiak, Xavier Lescure, Véronique Leflon-Guibout, Victoire de Lastours, Etienne Ruppé

    Published 2025-03-01
    “…Background: Currently, diagnosis of bacterial infections is based on culture, possibly followed by the amplification and sequencing (Sanger method) of the 16S rDNA - encoding gene when cultures are negative. Clinical metagenomics (CMg), i.e. the sequencing of a sample’s entire nucleic acids, may allow for the identification of bacteria not detected by conventional methods. …”
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  15. 1775

    Feruloyl-amides as natural antimicrobials for crop and food protection by Denise Dozio, Sharmila Ghosh, Daniele Alessandro Consolini, Josè Luis Ermini Starna, Loris Pinto, Federico Baruzzi, Martina Letizia Contente, Andrea Pinto, Paolo Cortesi, Salvatore Princiotto, Andrea Kunova, Sabrina Dallavalle

    Published 2025-01-01
    “…The main mechanism of defence is based on a rapid transcriptional reprogramming of genes encoding biosynthetic enzymes that synthesize specific secondary metabolites. …”
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  16. 1776

    The SERPINB4 gene mutation identified in twin patients with Crohn’s disease impaires the intestinal epithelial cell functions by Xiao-Mei Ouyang, Jun-Hui Lin, Ying Lin, Xian-Ling Zhao, Ya‐Ni Huo, Lai-Ying Liang, Yong-Dong Huang, Gui-Jing Xie, Peng Mi, Zhen-Yu Ye, Bayasi Guleng

    Published 2025-01-01
    “…Transcriptome sequencing revealed that the expression of genes encoding proinflammatory proteins (IL1B, IL6, IL17, IL24, CCL2, and CXCR2) and key proteins in the immune response (S100A9, MMP3, and MYC) was significantly upregulated during SERPINB4 mutant-induced apoptosis. …”
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  17. 1777

    Pleiotropic effects of mutant huntingtin on retinopathy in two mouse models of Huntington's disease by Hui Xu, Anakha Ajayan, Ralf Langen, Jeannie Chen

    Published 2025-02-01
    “…Huntington's disease (HD) is caused by the expansion of a CAG repeat, encoding a string of glutamines (polyQ) in the first exon of the huntingtin gene (HTTex1). …”
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  18. 1778

    Phage vB_KlebPS_265 Active Against Resistant/MDR and Hypermucoid K2 Strains of <i>Klebsiella pneumoniae</i> by Vyacheslav I. Yakubovskij, Vera V. Morozova, Yuliya N. Kozlova, Artem Yu. Tikunov, Valeria A. Fedorets, Elena V. Zhirakovskaya, Igor V. Babkin, Alevtina V. Bardasheva, Nina V. Tikunova

    Published 2025-01-01
    “…The KlebP_265 genome was 46,962 bp and contained 88 putative genes; functions were predicted for 37 of them. No genes encoding integrases, toxins, or antibiotic resistance were found in the genome. …”
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  19. 1779

    Cloning and expression characterisation of LiDXS2 gene in Oriental Lily (Lilium 'Sorbonne') by Yu Jiaxuan, Wu Nana, Fu Ruyu, Xue Lili, Zhang Jinzhu, Dong Jie, Yang Tao, Fan Jinping

    Published 2025-01-01
    “…The results showed that the LiDXS2 ORF area was 2142 bp and encoded a total of 713 amino acids. Analysis of homologous sequences showed that it contains two highly conserved regions, WDVGHQ and IAEQHA, which were closely related to Ginkgo DXS2 protein and Periwinkle DXS protein. …”
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  20. 1780

    Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

    Published 2025-02-01
    “…Furthermore, by analyzing the model’s classification performance during different stages of working memory processes, this study emphasizes the significance of the encoding phase and confirms that behavioral response does not accurately reflect cognitive load.…”
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