Epidemiological monitoring of avian influenza in the Republic of Crimea in 2019–2020 by D. V. Gadzevich, S. I. Danylchenko, N. V. Vorotilova, M. A. Pasunkina, V. A. Uppe, V. N. Irza, M. S. Volkov, N. G. Zinyakov

“…The comparative genetic analysis of 258 bp nucleic acid sequences of the AIV H gene fragment showed that the identified isolate belongs to the Asian genetic lineage of highly pathogenic AIV subtype H5 (clade 2.3.4.4) associated with the epidemic spread in Asia, Europe, the Middle East and Africa in 2016–2020.…”
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Vestibular patients generate more regular head movements than healthy individuals during gaze-stabilization exercises by Cecelia Shuai, Omid A. Zobeiri, Jennifer L. Millar, Michael C. Schubert, Mark Shelhamer, Kathleen E. Cullen

“…Analyzing statistical pattern of sequences of stereotyped behaviors to characterize degrees of randomness or repeatability has proven to be a powerful approach for diagnosing disease states, yet this approach has not been applied to patients with vestibular loss. …”
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Study of Phenotypic and Molecular Approaches of Potyvirus plumpoxi Resistance Evaluation in New Czech Apricot Hybrids by Eliška Zezulová, Tomáš Kiss, Kateřina Baránková, Tomáš Nečas

“…In addition, the genotyping with simple sequence repeat (SSR) markers (PGS1.21, PGS1.23) and ParPMC2 allele-specific polymerase chain reaction (PCR) for the purpose of evaluating PPV resistance. …”
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Implementation of the state policy for innovative development of the heat supply sector by Yu. O. Bakrunov, V. V. Glazkova

“…In the course of studying the features of the implementation stage of innovation, the sequence of the implementation stage of innovation in relation to the unified heat supply organizations, taking into account their specifics, is determined. …”
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Cloud Computing Resource Scheduling Algorithm Based on Unsampled Collaborative Knowledge Graph Network by Haichuan Sun, Liang Gu, Chenni Dong, Xin Ma, Zeyu Liu, Zhenxi Li

“…Based on graph convolutional neural networks, analyze the target load of cloud platforms, construct multi hop data transmission paths one by one, and perform deep level information load balancing; Establish a multiplexing information transmission model, correct the initial weights of graph convolutional neural networks, combine reverse transmission calculation methods, integrate and balance cloud computing resources, and confirm the optimal resource scheduling plan; Integrating class convolution and human-machine interaction attention mechanism, the value of the previous time series neural unit is transferred to the current neural unit, and the classification output sequence of knowledge graph relational data feature fragments is analyzed. …”
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Characterizing the plasma protein binding profiles of chemistry diversified antisense oligonucleotides in human and mouse plasma using an ultrafiltration method by Cassandra Yun, Kazuki Fukami, Raku Shinkyo, Rongrong (Rosa) Jiang

“…This study focuses on examining two pairs of sequence-matched ASOs: phosphorodiamidate morpholino oligomers (PMOs) and 2’-O-methoxyethyl/phosphorothioate (MOE/PS)-modified ASOs, to assess their plasma protein binding profiles.MethodsThe binding of both PMO and MOE/PS-modified ASOs was investigated using an ultrafiltration method combined with hybridization electrochemiluminescence, allowing for the measurement of the unbound fraction (fu) in both mouse and human plasma. …”
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Molecular genetic characteristics of broccoli (Brassica oleracea L. var. italica Plenck) from the VIR collection by D. A. Fateev, A. M. Artemyeva

“…For the analysis, 35 markers of microsatellite sequences specific to the Brassica L. genome were selected. …”
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Simulation of discrete control systems with parallelism of behavior by D. I. Cheremisinov, L. D. Cheremisinova

“…The proposed simulation method can be used to create a test bench for functional verification of the circuit implementation of control devices with behavior parallelism. In this case, test sequences for verifying the circuit implementation can be generated dynamically – in the process of simulating the description of the algorithm in the PRALU language directly the control device or system, which include the control algorithm and the algorithms of controlled objects behavior.…”
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A comparative study evaluating three line immunoassays available for serodiagnosis of equine Lyme borreliosis: Detection of Borrelia burgdorferi sensu lato-specific antibodies in s... by Cornelia V Broeckl, Stephanie Hiereth, Reinhard K Straubinger

“…Depending on LIA used, deficiencies were observed in the form of non-sufficient sensitivity of antigen signals on the LIA strips (especially for outer surface protein A (OspA) or variable major protein like sequence expressed (VlsE)) or as an inappropriate test interpretation of the OspA signal. …”
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Predicting the presence of tephra layers in lacustrine deposits using spectral gamma ray data: An example from Lake Chalco, Mexico City. by Mehrdad Sardar Abadi, Christian Zeeden, Arne Ulfers, Alex Susan Meyer, Thomas Wonik, Mexidrill team

“…The proposed protocol has the potential to accurately detect and identify thick tephra layers (> 10 cm in thickness) based on the rate of spectral gamma ray measurement in sedimentary sequences. This approach could enhance stratigraphic resolution by enabling finer subdivision of layers in an interior basin.…”
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How does individualised physiotherapy work for people with low back pain? A Bayesian Network analysis using randomised controlled trial data. by Bernard X W Liew, Jon J Ford, Marco Scutari, Andrew J Hahne

“…Modelling incorporated the intervention period (0-10 weeks after study commencement-"early" changes) and the follow-up period (10-52 weeks after study commencement-"late" changes). Sequences of variables in the Bayesian Network showed the most common direct and indirect recovery pathways followed by participants with low back pain receiving individualised physiotherapy versus advice.…”
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SViG: A Similarity-Thresholded Approach for Vision Graph Neural Networks by Ismael Elsharkawi, Hossam Sharara, Ahmed Rafea

“…There have been multiple attempts to tackle this problem that were introduced in the literature, starting from traditional Convolutional Neural Networks (CNNs) to Vision Transformers and MLP-Mixers that were more recently introduced to represent images as sequences. Most recently, Vision Graph Neural Networks (ViG) have shown very promising performance through representing images as graphs. …”
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Deep Feature Learning for Intrinsic Signature Based Camera Discrimination by Chaity Banerjee, Tharun Kumar Doppalapudi, Eduardo Pasiliao, Tathagata Mukherjee

“…In this paper we consider the problem of "end-to-end" digital camera identification by considering sequence of images obtained from the cameras. The problem of digital camera identification is harder than the problem of identifying its analog counterpart since the process of analog to digital conversion smooths out the intrinsic noise in the analog signal. …”
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Polymorphism of microsattelite loci within the grape germplasm collection maintained at the Dagestan Experiment Station of VIR by M. M. Agakhanov, V. A. Volkov, P. S. Ulianich, K. M. Abdullaev, E. N. Kislin

“…The size of alleles was estimated with Nanophor 05 sequencer (Syntol, Moscow). The results of the collection screening with the microsatellite markers were analyzed with Structure 2.3.4 software. …”
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An Open‐Label Phase II Trial of Pembrolizumab, an Immune Checkpoint Inhibitor Alone or in Combination With Oral Azacitidine as Second‐Line Therapy for Advanced Head and Neck Squamo... by Vinod K. Ramani, Srimonta Gayen, Radheshyam Naik

“…Epigenetics are heritable reversible changes in gene expression that occur without any changes in the nuclear DNA sequence or DNA copy number. Primary Objective i. To determine if non‐cytotoxic oral azacytidine when combined with pembrolizumab can improve ORRs of ICI treatment in patients with recurrent/metastatic tumors of head and neck region. …”
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Genetic aspects of lactase deficiency in indigenous populations of Siberia by B. A. Malyarchuk

“…Analysis of paleogenomic sequences showed that the genomes of Denisovans and Neanderthals are characterized by the above combination of alleles of the MCM6 gene. …”
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Intelligent Ensemble Deep Learning System for Blood Glucose Prediction Using Genetic Algorithms by Dae-Yeon Kim, Dong-Sik Choi, Ah Reum Kang, Jiyoung Woo, Yechan Han, Sung Wan Chun, Jaeyun Kim

“…Although there are numerous deep learning algorithms available, this study applied five algorithms, namely, recurrent neural network (RNN), which is optimized for sequence data (e.g., time-series), and RNN-based algorithms (e.g., long short-term memory (LSTM), stacked LSTM, bidirectional LSTM, and gated recurrent unit). …”
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Application and Evaluation of [Tc]-Labeled Peptide Nucleic Acid Targeting in Breast Cancer Imaging by Yaqun Jiang MD, Yongkang Gai PhD, Yu Long MD, Qingyao Liu PhD, Chunbao Liu MD, PhD, Yongxue Zhang MD, Xiaoli Lan MD, PhD

“…In this study, a PNA sequence that undergoes complementary binding to miR-155 was labeled with 99m Tc to evaluate whether the tracer could visualize the expression of miR-155 in breast cancer. …”
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Identity and Distribution of <i>Triglops metopias</i> (Teleostei, Cottidae) in the Northwestern Pacific by Artem M. Prokofiev, Ilyas N. Mukhametov, Olga R. Emelianova, Svetlana Yu. Orlova, Alexei M. Orlov

“…Molecular analysis inferred from the mitochondrial cytochrome <i>b</i> sequences showed no separation of this species from <i>T. pingelii</i>, although they can be distinguished by external morphology, including the use of the multivariate statistical approach. …”
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Morphopathology of the Prussian carp (Carassius auratus gibelio Bloch, 1782) liver under the effect of allyl acetate by M. Koziy

“…This was evidenced by a characteristic picture of a failure of the moment of transition of the sequence and periodicity of morphogenetic processes, which manifested itself in the form of atypical cellular polymorphism. …”
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