Effects of Evaporation and Body Thermal Plume on Cough Droplet Dispersion and Exposure Risk for Queuing People by Fengjiao Li, Guoyi Jiang, Fei Chen, Weibin Yuan

“…The exposure fraction and body deposition were highest in an all-male queue sequence and lowest for a male–female–male–female–male queue sequence.…”
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The First K⁺-Channel Blocker Described from <i>Tityus fasciolatus</i> Venom: The Purification, Molecular Cloning, and Functional Characterization of α-KTx4.9 (Tf5) by Isolda de Sousa Monteiro, Israel Flor Silva de Araújo, Thalita Soares Camargos, Ernesto Ortiz, Adolfo Carlos Barros de Souza, Jonathan Dias Lima, Lourival D. Possani, Elisabeth Ferroni Schwartz, Diogo Vieira Tibery

“…Its K⁺ channel blocker activity was evaluated on Kv1.1, Kv1.2, Kv1.3, and Kv1.4 subtypes. …”
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A Hybrid Deep Learning Model for Network Intrusion Detection System Using Seq2Seq and ConvLSTM-Subnets by S. Hariharan, Y. Annie Jerusha, G. Suganeshwari, S. P. Syed Ibrahim, Uday Tupakula, Vijay Varadharajan

“…This paper proposes a hybrid model that combines Sequence to Sequence (Seq2Seq) architecture with Convolutional Long Short-Term Memory (ConvLSTM) units to address these challenges. …”
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Persistent Gaps and Errors in Reference Databases Impede Ecologically Meaningful Taxonomy Assignments in 18S rRNA Studies: A Case Study of Terrestrial and Marine Nematodes by Alejandro De Santiago, Tiago José Pereira, Timothy John Ferrero, Natalie Barnes, Delphine Lallias, Simon Creer, Holly M. Bik

“…ABSTRACT In metabarcoding studies, Linnaean taxonomy assignments of Operational Taxonomic Units (OTUs) or Amplicon Sequence Variants (ASVs) underpin many downstream bioinformatics analyses and ecological interpretations of environmental DNA (eDNA) datasets. …”
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A pertinent approach: Two class of uncertain priority queuing models under the steady state condition by Pamučar Dragan, Lakshmanaraj Ramya, Samayan Narayanamoorthy

“…It creates uncertain sequence models with priority discipline, non-priority systems, models with priority systems, and models with non-priority systems. …”
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Unique target binding by the C-terminal region of FHR1 provides a new perception of aHUS pathology by Luce Perie, Selina Stippa, Christoph Saffer, Christoph Saffer, Andrea Hartmann, Mathias Mörgelin, Svante L. H. Zipfel, Marc Thilo Figge, Marc Thilo Figge, Thorsten Wiech, Christine Skerka, Peter F. Zipfel, Peter F. Zipfel

“…Therefore, we compared FHR1 isoforms with sequence-variations in SCR3, and pathogenic mutants with sequence variations in SCR5.MethodsFHR1 binding to apoptotic cells was evaluated EM and fluorescent microscopy and in kidney biopsies. …”
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Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI by Tassilo Wald, Benjamin Hamm, Julius C. Holzschuh, Rami El Shafie, Andreas Kudak, Balint Kovacs, Irada Pflüger, Bastian von Nettelbladt, Constantin Ulrich, Michael Anton Baumgartner, Philipp Vollmuth, Jürgen Debus, Klaus H. Maier-Hein, Thomas Welzel

“…Key Points Delineating small BMs on SPACE MRI sequence results in higher quality annotations than on MPRAGE sequence due to enhanced conspicuity. …”
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Molecular detection of Enterobacter hormaechei in bovine respiratory disease by HAJ Gharban

“…The local isolates exhibited high resistance to amoxicillin, ampicillin, amikacin, nalidixic acid and ceftazidime; high susceptibility to azithromycin, levofloxacin, gentamicin, ofloxacin, cefepime, ceftriaxone, cefotaxime, nitrofurantoin, ceftazidime and ciprofloxacin; and moderate susceptibility to ciprofloxacin, colistin, imipenem and meropenem. Multiple sequence alignment, phylogenetic tree analysis and homology sequence identification, showed that the five positive isolates were similar to the reference isolate. …”
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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation by Hyunseung Kong

“…This review systematically evaluates AI applications in personalized cancer vaccine research over the past five years, focusing on four key areas: neoantigen discovery, codon optimization, untranslated region (UTR) sequence generation, and mRNA vaccine design. …”
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Regional Explanations and Diverse Molecular Representations in Cheminformatics: A Comparative Study by Xin Wang, Amanda S. Barnard, Sichao Li

“…Using 2 public datasets, a graphene oxide nanoflakes dataset and QM9, with natural clustering properties, we comprehensively evaluate 4 molecular representations through tabular, sequence, image, and graph regional explanation, providing practical guidelines for representation selection. …”
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Deep learning to promote health through sports and physical training by Xinyue Li

“…Recent advancements in deep learning and time-series analysis offer an opportunity to develop more personalized and accurate predictive models for assessing health improvement trends.MethodsThis study proposes a Health Improvement Score (HIS) prediction model based on a sequence-to-sequence deep learning architecture with Long Short-Term Memory (LSTM) networks and an attention mechanism. …”
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A malware classification method based on directed API call relationships. by Cuihua Ma, Zhenwan Li, Haixia Long, Anas Bilal, Xiaowen Liu

“…Many existing methods that utilize Application Programming Interface (API) sequence instructions for malware classification often overlook the structural information inherent in these sequences. …”
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RECORD: Reference-Assisted Genome Assembly for Closely Related Genomes by Krisztian Buza, Bartek Wilczynski, Norbert Dojer

“…Background. Next-generation sequencing technologies are now producing multiple times the genome size in total reads from a single experiment. …”
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An interpretable machine learning model for seasonal precipitation forecasting by Enzo Pinheiro, Taha B. M. J. Ouarda

“…Here, we introduce TelNet, a sequence-to-sequence machine learning model for short-to-medium lead seasonal precipitation forecasting. …”
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Trade-Off Studies of a Radiantly Integrated TPV-Microreactor (RITMS) Design by Naiki Kaffezakis, Dan Kotlyar

“…While providing an introduction to the concept, the early RITMS work lacked an integrated computational sequence and economics-by-design approach, resulting in a failure to fully capture the physics of the system or to properly evaluate design parameter importance. …”
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A Deep Learning Model with Axial Attention for Radar Echo Extrapolation by Yu-Mei Xie, Ying-Liang Zhao, Shu-Yan Huang

“…In this paper, we introduce the self-attention mechanism into Trajectory Gated Recurrent Unit (TrajGRU) model. Under the sequence-to-sequence framework, we have developed a novel convolutional recurrent neural network called Self-attention Trajectory Gated Recurrent Unit (SA-TrajGRU), which incorporates the self-attention mechanism. …”
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Feasibility of knee magnetic resonance imaging protocol using artificial intelligence-assisted iterative algorithm protocols: comparison with standard MRI protocols by Hailong Liu, Yanxia Chen, Meng Zhang, Han Bu, Fenghuan Lin, Jun Chen, Mengqiang Xiao, Jie Chen

“…ObjectiveTo evaluate the image quality and diagnostic performance of AI-assisted iterative algorithm protocols (AIIA) in accelerated fast spin-echo magnetic resonance imaging (MRI) versus standard (SD) fast spin-echo MRI for clinical 3.0 T rapid knee scans.Materials and methodsThe accelerated sequence, which includes fat-suppression proton density-weighted imaging (FS-PDWI), T2-weighted imaging (T2WI), and T1-weighted imaging (T1WI), was used in conjunction with the SD sequence in 61 patients who underwent MRI scans. …”
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An Upper Bound for Locating Strings with High Probability Within Consecutive Bits of Pi by Víctor Manuel Silva-García, Manuel Alejandro Cardona-López, Rolando Flores-Carapia

“…Unlike previous works that solely examine the presence of sequences, this study provides, as a corollary, a formula to calculate an upper bound <i>N</i>. …”
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Criticality safety analysis of spent fuel pool for a PWR using UO2, MOX, (Th-U)O2 and (TRU-Th)O2 fuels by Claubia Pereira, Jéssica P. Achilles, Fabiano Cardoso, Victor F. Castro, Maria Auxiliadora F. Veloso

“…A spent fuel pool of a typical Pressurized Water Reactor (PWR) was evaluated for criticality studies when it uses reprocessed fuels. …”
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Urgent and emergent radiotherapy for hematologic malignancies of the central nervous system: a review of the literature and practical approach by Kathryn R. Tringale, Brandon S. Imber, Gustav Y. Cederquist, Joachim Yahalom, Zachary R. Moore, Richard T. Hoppe, Michael S. Binkley, Jason B. Ross, N. Ari Wijetunga, Parag Sanghvi, Dana L. Casey, Susan M. Hiniker

“…CNS involvement can lead to acute neurologic symptoms or signs that need prompt evaluation and treatment. Radiotherapy (RT) can lead to quick disease response, but how it can best be incorporated early into multi-modality treatment in the urgent clinical setting is often unclear.MethodsHere, we outline a practical approach to planning and incorporating urgent RT in patients with hematologic malignancies involving the CNS. …”
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