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Showing 1,321 - 1,340 results of 1,810 for search '(( sources detection functions\ ) OR (( resource OR resources) detection function\ ))', query time: 0.22s Refine Results
  1. 1321

    There is no transfer of mitochondria from donor hematopoietic cells to recipient mesenchymal stromal cells after allogeneic hematopoietic stem cells transplantation in humans by Natalya Sats, Vadim Surin, Tatiana Abramova, Aleksandra Sadovskaya, Nataliya Petinati, Nikolay Kapranov, Ksenia Nikiforova, Nina Drize, Luisa Karaseva, Olga Pokrovskaya, Larisa Kuzmina, Elena Parovichnikova

    Published 2025-07-01
    “…Mitochondria, which can be transferred between cells via nanotubes or extracellular vesicles, play a key role in the functions of mesenchymal stromal cells. In a murine model, donor hematopoietic stem and progenitor cells transfer functional mitochondria to bone marrow mesenchymal stromal cells of the recipient. …”
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  2. 1322

    De novo transcriptome assembly of the Mediterranean sea-rock pool mosquitoes Aedes mariae and Aedes zammitii by Valentina Mastrantonio, Daniele Porretta, Franco Liberati, Roberta Bisconti, Tiziana Castrignanò, Daniele Canestrelli

    Published 2025-01-01
    “…Validation by BUSCO confirmed the high quality of our resources. Homology alignments of predicted ORFs showed that 21,842 sequences from Ae. mariae and 21,944 sequences from Ae. zammitii mapped to the Nr, SwissProt, and TrEMBL databases, while 19,208 and 19,393 predicted ORFs, respectively, were functionally annotated using the COG and KEGG databases. …”
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  3. 1323

    Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

    Published 2025-12-01
    “…Moreover, integrating machine learning into risk management enhances decision-making by providing precise, data-driven predictions, allowing for more effective strategies and efficient resource allocation.Future research could incorporate additional data, such as historical records, economic indicators, and internal process information, to further improve prediction accuracy. …”
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  4. 1324
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  7. 1327

    Structural Repetition Detector for multi-scale quantitative mapping of molecular complexes through microscopy by Afonso Mendes, Bruno M. Saraiva, Guillaume Jacquemet, João I. Mamede, Christophe Leterrier, Ricardo Henriques

    Published 2025-07-01
    “…Understanding these structures provides insights into their functional roles. While super-resolution microscopy can visualise such patterns, manual detection in large datasets is challenging and biased. …”
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  8. 1328

    GENERATION AND COLLECTION OF TOBACCO AEROSOL FOR SHISHA by N. N. Bubnova, M. V. Shkidyuk

    Published 2020-11-01
    “…Qualitative characteristics of tobacco aerosol for shisha are determined by the functional purpose and depend on the component composition of the tobacco mixture and the coal used.The purpose of the research is to develop a methodology for the comprehensive assessment of tobacco for shisha based on modern methods of product quality control and includes the following steps:- monitoring of the studies to determine the component composition of the hookah mixture and the aerosol produced;- analysis of hookah mixture testing modes and development of an aerosol generation protocol;- development of a method for collecting aerosol on a laboratory smoking machine; - quantitative analysis of toxic analytes by HPLC MS / MS method.Methods have been developed for the machine generation and collection of tobacco aerosol for hookah, taking into account low concentrations of the analyzed toxic substances.The expediency of using the HPLC MS / MS method to determine the quantity of the following substances in tobacco aerosol for shisha has been substantiated:- carbonyl compounds (formaldehyde, acetaldehyde, acrolein) by detection on an electrospray source in the negative polarity mode- tobacco specific nitrosoamines (NNN and NNK) by detection on an electrospray source in the positive polarity mode.During the research laboratory and analytical equipment was used: a five-channel linear CERULEAN SM 405 smoking machine; Thermo Scientific Dionex UltiMate 3000 liquid chromatograph and TSQ Quantiva mass spectrometer.Obtaining experimental data on the quantitative determination of the component composition of the aerosol produced by tobacco for shisha using hookah systems is relevant for assessing toxic characteristics of the product.…”
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  9. 1329
  10. 1330

    Establishing a long-term predictive model for aggressive behavior in schizophrenia: a 21-year longitudinal study in rural China by Hui Jin, Hui Jin, Cong Wang, Cong Wang, Yi-Yue Yang, Yi-Yue Yang, Lie Zhou, Lie Zhou, Yun Xiao, Yun Xiao, Yang Wen, Yang Wen, Jawad Ahmad, Jawad Ahmad, Yun-Fei Mu, Yun-Fei Mu, Jia Cai, Ming Li, Wei Luo, Xiao-Fei Zhou, Jian-Jun Luo, Bo Liu, Eric Yu-Hai Chen, Mao-Sheng Ran, Mao-Sheng Ran

    Published 2025-08-01
    “…A clinically practical nomogram was built to assess the risk of aggressive behavior in individuals with schizophrenia in rural China, which may facilitate early detection and intervention of these individuals, particularly in rural areas with limited resources. …”
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  11. 1331
  12. 1332

    Direction of Arrival Estimation Based on the Multistage Nested Wiener Filter by Xiaodong He, Bin Tang

    Published 2015-02-01
    “…The computation of the proposed method is simple, and the number of detectable signal sources could exceed the number of antenna elements.…”
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  13. 1333
  14. 1334

    A Novel Method for Traceability of Crude Oil Leakage on Offshore Platforms Based on Improved YOLOv5 Model Multi-Target Identification and Correlation Analysis by Zhenghua Wang, Shihai Zhang, Chongnian Qu, Zongyi Zhang, Feng Sun

    Published 2025-01-01
    “…Based on the positional relationship between the spilled crude oil target and the source target detection anchor frame, the possible source targets are classified into three association levels and assigned different association weights. …”
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  15. 1335

    Molecular mechanisms of leukemogenesis by D. A. Domninskiy

    Published 2022-11-01
    “…Such targets can be enzymes, proteins with other (non-enzymatic) functions, genomic DNA, mRNA, or, for example, certain lipid components of cell membranes. …”
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  16. 1336

    Soil methane emission suppression control using unmanned aircraft vehicle swarm application of biochar mulch - A simulation study by Di An, Derek Hollenbeck, Kai Cao, YangQuan Chen

    Published 2023-05-01
    “…In this paper, we present a soil methane emissions suppression approach using swarms of unmanned aerial vehicles (UAVs), by spreading biochar mulch on top of the detected methane emissions area/source. Soil microorganisms can produce methane and release it into the atmosphere causing climate change such as global warming. …”
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  17. 1337
  18. 1338

    Genotyping from targeted NGS data based on a small set of SNPs correctly matches patient samples by Deyan Yordanov Yosifov, Christof Schneider, Stephan Stilgenbauer, Daniel Mertens, Eugen Tausch

    Published 2025-07-01
    “…In two cohorts of totally 1441 patients with sequential samples, we could identify 3 sample swaps, 7 mislabelled samples (3 externally and 4 internally) and 1 mistake of unknown origin. We provide an R function for automated detection of sample swaps and mislabelling to the community as a free and open-source tool.…”
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  19. 1339

    Genomics and integrative clinical data machine learning scoring model to ascertain likely Lynch syndrome patients by Ramadhani Chambuso, Takudzwa Nyasha Musarurwa, Alessandro Pietro Aldera, Armin Deffur, Hayli Geffen, Douglas Perkins, Raj Ramesar

    Published 2025-05-01
    “…Annovar, Intervar, Variant Effect Predictor (VEP), and OncoKB software tools were used to functionally annotate and interpret somatic variants detected. …”
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  20. 1340

    Blind super-resolution network based on local fuzzy discriminative loss for fabric data augmentation by Ning Dai, Xiaohan Hu, Kaixin Xu, Xudong Hu, Yanhong Yuan, Bo Cao, Luhong Shi

    Published 2025-01-01
    “…In the field of fabric defect detection, the development of algorithms has been hindered by issues such as poor quality and limited quantity of open-source datasets. …”
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