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Showing 41 - 60 results of 95 for search '(( automatic increase ) OR ((( dramatic decrease ) OR ( dramatic decreased ))))', query time: 0.10s Refine Results
  1. 41

    Combinatory effect of diet and exercise on brain derived neurotrophic factor expression, cognitive function and behavioral phenotypes of psychiatric disorders. (c2017) by Abou Haidar, Edwina T.

    Published 2017
    “…Its involvement in the learning processes and memory formation has also been well established. BDNF levels are dramatically decreased in the adult brain in response to stress and are elevated by increased exercise. …”
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    masterThesis
  2. 42

    Diabetes mellitus and renal failure by Aoun, S.

    Published 2001
    “…Diabetes mellitus and end-stage renal disease are two pathologic entities associated with increased cardiovascular risk. Several studies have shown that arterial stiffness is increased in both cases and contributes to the increased risk. …”
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    article
  3. 43

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…The automatic processing and management of XML-based data are ever more popular research issues due to the increasing abundant use of XML, especially on the Web. …”
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    conferenceObject
  4. 44

    XML Grammar Matching and Comparison: Technical Report by Tekli, Joe

    Published 2017
    “…In this study, we provide an approach for automatic XML matching and comparison aiming to minimize the amount of user effort required to perform the match task. …”
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    conferenceObject
  5. 45

    Creating and detecting fake reviews of online products by Joni Salminen (7434770)

    Published 2022
    “…<p>Customers increasingly rely on reviews for product information. …”
  6. 46

    Real-time AI-based inference of people gender and age in highly crowded environments by Jasseur Abidi (17870426)

    Published 2023
    “…<p>Gender identity is one of the most fundamental aspects of life. Automatic gender identification is increasingly being used in areas such as security, marketing, and social robots. …”
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  8. 48

    MEFood: A Large-Scale Representative Benchmark of Quotidian Foods for the Middle East by Mohammed Yusuf Ansari (16904523)

    Published 2023
    “…<p>Automatic food recognition systems have been receiving increasing attention in the research community with the advancements in inductive learning (e.g., classification in computer vision) due to their applicability in the healthcare and hospitality industry. …”
  9. 49

    Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT by Arumugam K (18456690)

    Published 2021
    “…There have been notable challenges regarding the security of data and challenges related to privacy when collecting real-time and automatic data while observing applications in the industry. …”
  10. 50

    Non-diabetic ketoacidosis secondary to primary hyperthyroidism by Abdulrahman F. Al-Mashdali (17148316)

    Published 2022
    “…After which, her symptoms improved dramatically, and the metabolic acidosis (with serum ketones) were corrected within a few days of starting anti-thyroid medications.…”
  11. 51

    A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

    Published 2022
    “…The metaheuristic aims to dramatically improve the computation time of a given Orienteering Problem algorithm without a significant decrease in the solution quality of that algorithm, especially for large Orienteering Problems. …”
  12. 52
  13. 53

    An overview of cluster-based image search result organization: background, techniques, and ongoing challenges by Tekli, Joe

    Published 2022
    “…Digital photographs and visual data have become increasingly available, especially on the Web considered as the largest image database to date. …”
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    article
  14. 54

    Predicting infarction growth rate II using ANFIS-based binary particle swarm optimization technique in ischemic stroke by Afnan Al-Ali (16888695)

    Published 2023
    “…One such promising technique, the Adaptive Neuro-Fuzzy Inference System (ANFIS), has shown potential, but it faces the 'curse of dimensionality' and long training times as the number of features increased. This paper introduces an innovative, automatic method that combines Binary Particle Swarm Optimization (BPSO) with ANFIS architecture, achieves reduction in dimensionality by reducing the number of rules and training time. …”
  15. 55

    EEG Signal Processing for Medical Diagnosis, Healthcare, and Monitoring: A Comprehensive Review by Nisreen Said Amer (17984077)

    Published 2023
    “…The development of novel sensors for EEG recording, digital signal processing algorithms, feature engineering, and detection algorithms increases the need for efficient diagnostic systems. …”
  16. 56

    Comparative Genomic Mapping Implicates LRRK2 for Intellectual Disability and Autism at 12q12, and HDHD1, as Well as PNPLA4, for X-Linked Intellectual Disability at Xp22.31 by Jonathan D. J. Labonne (18090841)

    Published 2020
    “…RT-qPCR assays revealed that LRRK2 transcripts were dramatically reduced in our microdeletion patient DGDP289A compared to his healthy grandfather with no deletion. …”
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  18. 58

    Wales’ tourists not a burden for local healthcare by Nature Research (16552612)

    Published 2016
    “…</p><p>“The number of visitors to southwest Wales has increased dramatically over the last ten years, however the number of presentations to the emergency department has not increased at the same rate,” says Battle. …”
  19. 59

    Pleiotropic functions of the tumor- and metastasis-suppressing matrix metalloproteinase-8 in mammary cancer in MMTV-PyMT transgenic mice by Julie Decock (44558)

    Published 2015
    “…Likewise, lung metastasis dramatically increased in the MMTV-PyMT; Mmp8-null mice. …”
  20. 60

    An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

    Published 2025
    “…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”