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  1. 5681
    “…The algorithm performed satisfactorily well for the MIT-BIH dataset with a 99.08% accuracy and a 99.08% of F1-score in detecting heartbeats along with a 99.25% of accuracy in determining correct boundaries. …”
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    Beat-wise segmentation of electrocardiogram using adaptive windowing and deep neural network
  2. 5682
    “…Our source code is licensed under the MIT open-source license.…”
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    An Automated Model Annotation System (AMAS) for SBML Models
  3. 5683
    “…ChIP-PCR and EMSA confirmed that the oxidative stress (OS)-activated MiT–TFE transcription factor (MITF, TFE3, and TFEB)-mediated GAS5 transcription. …”
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    An Autophagy-Associated MITF–GAS5–miR-23 Loop Attenuates Vascular Oxidative and Inflammatory Damage in Sepsis
  4. 5684
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    Asymetric Event-Related Potential Priming Effects Between English Letters and American Sign Language Fingerspelling Fonts
  5. 5685
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    High-amplitude network co-fluctuations linked to variation in hormone concentrations over the menstrual cycle
  6. 5686
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    The arrow of time of brain signals in cognition: Potential intriguing role of parts of the default mode network
  7. 5687
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    The interaction between random and systematic visual stimulation and infraslow quasi-periodic spatiotemporal patterns of whole-brain activity
  8. 5688
    por Landsiedel, Julia, Koldewyn, Kami
    Publicado 2023
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    Auditory dyadic interactions through the “eye” of the social brain: How visual is the posterior STS interaction region?
  9. 5689
    “…The microphthalmia-associated transcription factor (MITF) is one of four closely related members of the MiT/TFE family (TFEB, TFE3, TFEC) that regulate a wide range of cellular processes. …”
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    The C-terminal transactivation domain of MITF interacts promiscuously with co-activator CBP/p300
  10. 5690
    “…Although the most frequently mutated genes in this cohort were consistent with those described in the literature (GJB2, OTOF or MYO7A), causative variants in less frequent genes such as TMC1, FGF3 or mitCOX1 were also identified. Moreover, 5% of the diagnosed cases (3/52) were associated with pathogenic copy number variants. …”
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    Next-generation sequencing improves precision medicine in hearing loss
  11. 5691
    “…Five pre-trained models are used: ResNet50, DenseNet169, InceptionV3, VGG16 and MobileNetV2 on nine datasets: CIFAR-10, CIFAR-100, MNIST, Fashion-MNIST, Stanford Dogs, Caltech 256, ISIC 2016, ChestX-ray8 and MIT Indoor Scenes. Experimental results show that data points with lower textural feature divergence and layers with more positive weights give better accuracy than other data points and layers. …”
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    Improved transfer learning using textural features conflation and dynamically fine-tuned layers
  12. 5692
    “…Our work is based on the MIT-BIH arrhythmia database, the original electrocardiogram (ECG) data is classified according to the criteria recommended by the American Association for Medical Instrumentation (AAMI). …”
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    Inter-patient ECG heartbeat classification for arrhythmia classification: a new approach of multi-layer perceptron with weight capsule and sequence-to-sequence combination
  13. 5693
    por Rong, Yingqi, Peters, Megan A. K.
    Publicado 2023
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    Toward ‘Computational-Rationality’ Approaches to Arbitrating Models of Cognition: A Case Study Using Perceptual Metacognition
  14. 5694
    “…Experimental results demonstrate that our proposed method outperforms state-of-the-art methods on the MIT-Adobe FiveK dataset, and an in-depth analysis and ablation study highlight the advantages of our approach.…”
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    Dual-color space network with global priors for photo retouching
  15. 5695
    “…The demethylation events that resulted in PP2A inactivation also favored autophagy inhibition by preventing ULK1 activation while restoring the cytoplasmic retention of the MiT/TFE transcription factors. Since autophagy provides pancreatic cancer cells with metabolic plasticity to cope with various metabolic stress conditions, while at the same time promoting their pathogenesis and resistance to KRAS pathway inhibitors, this hypomethylating treatment could represent a therapeutic opportunity for pancreatic adenocarcinomas.…”
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    Targeting protein methylation in pancreatic cancer cells results in KRAS signaling imbalance and inhibition of autophagy
  16. 5696
    “…All products of this effort are released under permissive licensing, including the biodata resource inventory itself (CC0) and all associated code (BSD/MIT).…”
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    A machine learning-enabled open biodata resource inventory from the scientific literature
  17. 5697
    por Tikhonov, Roman, DeDeo, Simon
    Publicado 2023
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    Prediction, Explanation, and Control: The Use of Mental Models in Dynamic Environments
  18. 5698
    “…An online version of this method is available for public use (http://www.broad.mit.edu/mpg/grail/).…”
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    Identifying Relationships among Genomic Disease Regions: Predicting Genes at Pathogenic SNP Associations and Rare Deletions
  19. 5699
    “…Supported by International Society of Intelligent Biological Medicine (ISIBM), International Journal of Computational Biology and Drug Design (IJCBDD), International Journal of Functional Informatics and Personalized Medicine (IJFIPM) and the leading research laboratories from Harvard, M.I.T., Purdue, UIUC, UCLA, Georgia Tech, UT Austin, U. of Minnesota, U. of Iowa etc, the conference received thousands of research papers. …”
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    High-throughput next-generation sequencing technologies foster new cutting-edge computing techniques in bioinformatics
  20. 5700
    “…Here we present the first genome of a cyanobacterial siphovirus, P-SS2, which was isolated from Atlantic slope waters using a Prochlorococcus host (MIT9313). The P-SS2 genome is larger than, and considerably divergent from, previously sequenced siphoviruses. …”
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    The genome and structural proteome of an ocean siphovirus: a new window into the cyanobacterial ‘mobilome’
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