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  1. 2541
    “…The average running time of the proposed algorithm on each 60-ms sEMG frame was 25.5±8.9 (s) on an Intel dual-core 1.83 GHz CPU with 2 GB of RAM. The proposed algorithm correctly and precisely identified multiple IZs in each signal epoch in a wide range of signal quality and is thus a promising new offline tool for electrophysiological studies.…”
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    Detection of Multiple Innervation Zones from Multi-Channel Surface EMG Recordings with Low Signal-to-Noise Ratio Using Graph-Cut Segmentation
  2. 2542
    “…It is able to work with nested structures as in the names of hybrids. gnparser performs with ≈99% accuracy and processes 30 million name-strings/hour per CPU thread. The gnparser library is compatible with Scala, Java, R, Jython, and JRuby. …”
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    “gnparser”: a powerful parser for scientific names based on Parsing Expression Grammar
  3. 2543
    “…The LD decay rate was estimated at 184 kb, where r(2) dropped to half of its maximum value (0.205). GWAS using FarmCPU detected a stable quantitative trait nucleotide (QTN) for hilum color and seed color, which is consistent with the known loci or genes. …”
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    Genotyping of Soybean Cultivars With Medium-Density Array Reveals the Population Structure and QTNs Underlying Maturity and Seed Traits
  4. 2544
    por Barrett, Kristian, Lange, Lene
    Publicado 2019
    “…The speed of the CUPP program was estimated and exemplified by prediction of the 504,017 nonredundant proteins of CAZy in less than four CPU hours. CONCLUSION: It was possible to construct an automated system for clustering proteins within families and use the resulting CUPP groups to directly build peptide-based models for genome annotation. …”
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    Peptide-based functional annotation of carbohydrate-active enzymes by conserved unique peptide patterns (CUPP)
  5. 2545
    “…BrownieCorrector relies on multithreading to take advantage of multi-core/multi-CPU systems. The source code is available at https://github.com/biointec/browniecorrector. …”
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    Illumina error correction near highly repetitive DNA regions improves de novo genome assembly
  6. 2546
    “…Three indices of heat stress were developed for each accession and inputted in last-generation algorithms (i.e. SUPER, FarmCPU, and BLINK) to identify putative associated loci with the environmental heterogeneity in heat stress. …”
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    Last-Generation Genome–Environment Associations Reveal the Genetic Basis of Heat Tolerance in Common Bean (Phaseolus vulgaris L.)
  7. 2547
    “…Successful management of patients with complicated peptic ulcer (CPU) involves prompt recognition, resuscitation when required, appropriate antibiotic therapy, and timely surgical/radiological treatment. …”
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    Perforated and bleeding peptic ulcer: WSES guidelines
  8. 2548
    por Cuevas, Hugo E., Prom, Louis K.
    Publicado 2020
    “…Genome-wide association study based on fixed and random model Circulating Probability (farmCPU) identified genomic regions associated with plant height, flowering time, panicle length and diameter, and anthracnose resistance response. …”
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    Evaluation of genetic diversity, agronomic traits, and anthracnose resistance in the NPGS Sudan Sorghum Core collection
  9. 2549
    “…The metabolic brain connectivity among somatosensory cortex (SC), motor cortex (MC), caudate putamen (Cpu), and dorsolateral thalamus (DLT) in bilateral hemispheres decreased throughout the 16 weeks’ observation in the BPAI-only group, compared with the normal rats (P < 0.05). …”
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    Electroacupuncture-Related Metabolic Brain Connectivity in Neuropathic Pain due to Brachial Plexus Avulsion Injury in Rats
  10. 2550
    “…By using convolutional neuronal networks we show that it is possible to classify large datasets of biomedical images in less than 25 min on a 8 CPU processor machine providing a precise, robust, fast and observer-independent method for the discrimination/classification of different stages of osteoarthritis and liver diseases.…”
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    Convolutional neuronal networks combined with X-ray phase-contrast imaging for a fast and observer-independent discrimination of cartilage and liver diseases stages
  11. 2551
    “…This is because separate chips (i.e., flat image sensor array, memory device, and CPU) in conjunction with complicated optics should capture, store, and process massive image information independently. …”
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    Curved neuromorphic image sensor array using a MoS(2)-organic heterostructure inspired by the human visual recognition system
  12. 2552
    por King, Andrew D., Raymond, Jack, Lanting, Trevor, Isakov, Sergei V., Mohseni, Masoud, Poulin-Lamarre, Gabriel, Ejtemaee, Sara, Bernoudy, William, Ozfidan, Isil, Smirnov, Anatoly Yu., Reis, Mauricio, Altomare, Fabio, Babcock, Michael, Baron, Catia, Berkley, Andrew J., Boothby, Kelly, Bunyk, Paul I., Christiani, Holly, Enderud, Colin, Evert, Bram, Harris, Richard, Hoskinson, Emile, Huang, Shuiyuan, Jooya, Kais, Khodabandelou, Ali, Ladizinsky, Nicolas, Li, Ryan, Lott, P. Aaron, MacDonald, Allison J. R., Marsden, Danica, Marsden, Gaelen, Medina, Teresa, Molavi, Reza, Neufeld, Richard, Norouzpour, Mana, Oh, Travis, Pavlov, Igor, Perminov, Ilya, Prescott, Thomas, Rich, Chris, Sato, Yuki, Sheldan, Benjamin, Sterling, George, Swenson, Loren J., Tsai, Nicholas, Volkmann, Mark H., Whittaker, Jed D., Wilkinson, Warren, Yao, Jason, Neven, Hartmut, Hilton, Jeremy P., Ladizinsky, Eric, Johnson, Mark W., Amin, Mohammad H.
    Publicado 2021
    “…The advantage increases with both system size and inverse temperature, exceeding a million-fold speedup over an efficient CPU implementation. PIMC is a leading classical method for such simulations, and a scaling advantage of this type was recently shown to be impossible in certain restricted settings. …”
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    Scaling advantage over path-integral Monte Carlo in quantum simulation of geometrically frustrated magnets
  13. 2553
    “…RESULTS: By resolving the pinpointed computation bottlenecks on GPU, our implementation of diffeomorphic log-demons on Nvidia GTX Titan X GPU has achieved ~ 95 times speed-up compared to the CPU and registered a 1.3-M voxel image in 286 ms. …”
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    Performance-aware programming for intraoperative intensity-based image registration on graphics processing units
  14. 2554
    “…Multi-locus association analyses, carried out using mrMLM 4.0 and FarmCPU R packages, revealed a total of 967 and 180 quantitative trait nucleotides (QTNs), respectively. …”
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    Multi-Locus Genome-Wide Association Studies Reveal Fruit Quality Hotspots in Peach Genome
  15. 2555
    “…We conducted genome-wide association studies (GWASs) using the fixed and random model circulating probability unification (FarmCPU) method to identify SNPs associated with bone quality, heel depth, rear leg side view and rear leg rear view of Chinese Holstein cows. …”
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    Genome-Wide Association Study Identifies Candidate Genes Associated with Feet and Leg Conformation Traits in Chinese Holstein Cattle
  16. 2556
    “…To investigate single nucleotide polymorphism (SNP) loci associated with yearling wool traits of fine-wool sheep for optimizing marker-assisted selection and dissection of the genetic architecture of wool traits, we conducted a genome-wide association study (GWAS) based on the fixed and random model circulating probability unification (FarmCPU) for yearling staple length (YSL), yearling mean fiber diameter (YFD), yearling greasy fleece weight (YGFW), and yearling clean fleece rate (YCFR) by using the whole-genome re-sequenced data (totaling 577 sheep) from the following four fine-wool sheep breeds in China: Alpine Merino sheep (AMS), Chinese Merino sheep (CMS), Qinghai fine-wool sheep (QHS), and Aohan fine-wool sheep (AHS). …”
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    Whole-genome re-sequencing association study on yearling wool traits in Chinese fine-wool sheep
  17. 2557
    “…The resistance to YR in these lines was attributed to eight quantitative trait loci (QTLs) using the FarmCPU algorithm. Four (Q.Yr.bisa-2A.1, Q.Yr.bisa-2D, Q.Yr.bisa-5B.2, and Q.Yr.bisa-7A) of eight QTLs linked to the diagnostic markers were mapped at unique loci (previously unidentified for Pst resistance) and possibly new loci. …”
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    Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Triticum aestivum L.)
  18. 2558
    “…BACKGROUND: We aimed to analyze the 2020 standard of care in certified German chest pain units (CPU) with a special focus on non-ST-segment elevation acute coronary syndrome (NSTE-ACS) through a voluntary survey obtained from all certified units, using a prespecified questionnaire. …”
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    Survey of clinical practice pattern in Germany’s certified chest pain units: Adherence to the European Society of Cardiology guidelines on non-ST-segment elevation acute coronary syndrome
  19. 2559
    “…Minor effect SNPs were detected by the proposed ML-GWAS methodology but not identified using Bayesian-information and linkage-disequilibrium Iteratively Nested Keyway (BLINK), Fixed and Random Model Circulating Probability Unification (FarmCPU), and Enriched Compressed Mixed Linear Model (ECMLM) models. …”
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    Exploring Machine Learning Algorithms to Unveil Genomic Regions Associated With Resistance to Southern Root-Knot Nematode in Soybeans
  20. 2560
    “…Our VibDenoiser achieves an improvement of 18.57 in SNR, and it runs in real-time on a laptop CPU. The accuracy of the four classification models increased by a large margin using vibration clips enhanced by our model. …”
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    A Waveform Mapping-Based Approach for Enhancement of Trunk Borers’ Vibration Signals Using Deep Learning Model
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