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  1. 9681
  2. 9682

    Volatile Anaesthetic Depression of the Carotid Body Chemoreflex-Mediated Ventilatory Response to Hypoxia: Directions for Future Research by J. J. Pandit

    Published 2014-01-01
    “…In assessing whether volatile anaesthetics directly depress the carotid body response to hypoxia it is necessary to combine in meta-analysis studies of when it is “functionally isolated” (e.g., recordings are made from its afferent nerve). …”
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  3. 9683

    ARTIFICIAL INTELLIGENCE USED FOR DEVELOPMENT OF BUSINESS MANAGEMENT by BORCOȘI CORINA ANA

    Published 2025-04-01
    “…Since the volume of data around the world is of the order of thousands of billions of gigabits, artificial intelligence (AI) was created, which represents an essential technology of the future, that imitates human functions: it is creative, has reasoning, has the ability to learn continuously. …”
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  4. 9684

    Application Method of Environmental Protection Building Elements Based on Artificial Intelligence Technology in the Field of Urban Planning and Design by Lihong Yan

    Published 2022-01-01
    “…This model enables agents to learn how to interact with the environment with appropriate strategies, so as to generate the road network design scheme required by users. …”
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  5. 9685

    Cerebroventricular microinjection (CVMI) into adult zebrafish brain is an efficient misexpression method for forebrain ventricular cells. by Caghan Kizil, Michael Brand

    Published 2011-01-01
    “…Therefore, investigating the zebrafish brain can help not only to elucidate the molecular mechanisms of widespread adult neurogenesis in a vertebrate species, but also to design therapies in humans with what we learn from this teleost. Yet, understanding the cellular behavior and molecular programs underlying different biological processes in the adult zebrafish brain requires techniques that allow manipulation of gene function. …”
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    Article
  6. 9686

    Diagnostic, Therapeutic, and Prognostic Applications of Artificial Intelligence (AI) in the Clinical Management of Brain Metastases (BMs) by Kyriacos Evangelou, Panagiotis Zemperligkos, Anastasios Politis, Evgenia Lani, Enrique Gutierrez-Valencia, Ioannis Kotsantis, Georgios Velonakis, Efstathios Boviatsis, Lampis C. Stavrinou, Aristotelis Kalyvas

    Published 2025-07-01
    “…Intraoperatively, AI-driven systems can enable optimal tumor resection by integrating functional brain maps into preoperative imaging, thus facilitating the identification and safeguarding of eloquent brain regions through augmented reality (AR)-assisted neuronavigation. …”
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    Article
  7. 9687

    Neuropsychological and psychosocial assessment of small and non-small lung cancer patients: a study protocol by Benedetta Capetti, Lorenzo Conti, Chiara Marzorati, Chiara Marzorati, Vincenzo Bagnardi, Matteo Chiari, Monica Casiraghi, Monica Casiraghi, Monica Casiraghi, Roberto Grasso, Roberto Grasso, Gabriella Pravettoni, Gabriella Pravettoni

    Published 2025-04-01
    “…Memory and learning will be examined with Rey's auditory verbal learning test, whereas working memory will be assessed with the Digit Span test and the Corsi Block-tapping Test. …”
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    Article
  8. 9688

    The impact of technological mega trends on the development of universities in Iran; A case study of the effects of technological developments on the financing of public universitie... by Reza Naghizadeh

    Published 2025-03-01
    “…Purpose: Universities are affected by the effects of technological changes and such changes affect the key functions of the university such as development and management of knowledge and human resource training. …”
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    Article
  9. 9689

    Neuroplasticity: Insights from Patients Harboring Gliomas by Nathan W. Kong, William R. Gibb, Matthew C. Tate

    Published 2016-01-01
    “…Recent advances in neuroimaging and direct cortical stimulation in human subjects have given neuroscientists a window into the timing and functional anatomy of brain networks underlying this dynamic process. …”
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    Article
  10. 9690

    Neuro-evolutionary models for imbalanced classification problems by Israa Al-Badarneh, Maria Habib, Ibrahim Aljarah, Hossam Faris

    Published 2022-06-01
    “…The results show an advantage for f1-score, and g-mean fitness functions over the accuracy when the datasets are imbalanced.…”
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  11. 9691

    A multi-strategy improved crow search algorithm for multi-level thresholding image segmentation by Xiaoping Zhang, Chengliang Huang, Weixia Gui

    Published 2025-06-01
    “…In the first set of experiments, CEC 2020 benchmark test functions are selected to compare the performance of MSICSA with other group intelligent optimization algorithms. …”
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  12. 9692

    Usefulness of the coparenting construct in studies of parents of a child with a disability by Monika Parchomiuk

    Published 2022-11-01
    “…The aim of the article is to discuss the potential importance of the coparenting construct in learning about the essence of specific problems in the field of psychosocial functioning of families with a disabled child. …”
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    Article
  13. 9693

    The Comparison of Diffeomorphic Images Based on the Construction of Persistent Homology by Sergey N. Chukanov

    Published 2019-09-01
    “…The LDDMM model can be supplemented with functional non-geometric information about objects (volume, color, formation time). …”
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  14. 9694

    APPLICATION OF NEURAL NETWORKS IN DIAGNOSTICS OF BREAST CANCER ACCORDING TO THE DATA OF MICROWAVE RADIO THERMOMETRY by A. Losev, D. Medvedev

    Published 2022-08-01
    “…One of the modern and effective methods of functional diagnosis is the method of microwave radiothermometry, which in recent years has found application in a number of areas of medicine, including the diagnosis of breast cancer. …”
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  15. 9695

    RESEARCH ON THE NORMATIVE PROVISION OF THE EDUCATION SYSTEM WITH A FOCUS ON THE SUBJECT PHYSICAL EDUCATION AND SPORT by K. Naydenova

    Published 2019-10-01
    “…Following the processes of regulation and functioning of the education system in the country, we decided to study the basic normative documents that regulate and have relation to the subject Physical Education and Sport. …”
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    Article
  16. 9696

    Automated identification of pathways from quantitative genetic interaction data by Alexis Battle, Martin C Jonikas, Peter Walter, Jonathan S Weissman, Daphne Koller

    Published 2010-06-01
    “…The results provided reconstructions of known functional pathways including N‐linked glycosylation and ER‐associated protein degradation. …”
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  17. 9697

    Discourse-organising lexical bundles in academic law textbooks: a corpus-based analysis by Abdullah Alasmary

    Published 2025-05-01
    “…Abstract Despite extensive research on the selection of lexical bundles for learning purposes in a wide range of academic disciplines, written legal discourse remains relatively underexplored. …”
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  18. 9698

    Stochastic Zeroth-Order Multi-Gradient Algorithm for Multi-Objective Optimization by Zhihao Li, Qingtao Wu, Moli Zhang, Lin Wang, Youming Ge, Guoyong Wang

    Published 2025-02-01
    “…Nowadays, many MOO algorithms assume that gradient information is easily available and use this information to optimize functions. However, when encountering situations where gradients are not available, such as black-box functions or non-differentiable functions, these algorithms become ineffective. …”
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  19. 9699

    A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

    Published 2025-02-01
    “…Methods By using data from the Gene Expression Omnibus (GEO) database, we employed machine learning methods to discover prognostic ARGs and create a risk score. …”
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  20. 9700

    Short-Term Energy Consumption Prediction in Korean Residential Buildings Using Optimized Multi-Layer Perceptron by Fazli Wahid, Do Hyeun Kim

    Published 2017-05-01
    “…For the determination of best combinations of learning algorithms, hidden layers’ transfer functions and output layer functions, different types of training algorithms and hidden layer and output layer functions were considered. …”
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