Showing 3,041 - 3,060 results of 3,155 for search '(((((rates OR rate) OR rate) OR rate) OR rate) OR gate) and patterns', query time: 0.17s Refine Results
  1. 3041

    Gesture recognition for hearing impaired people using an ensemble of deep learning models with improving beluga whale optimization-based hyperparameter tuning by Mohammed Assiri, Mahmoud M. Selim

    Published 2025-07-01
    “…For the feature extraction process, the squeeze-and-excitation capsule network (SE-CapsNet) effectively captures spatial hierarchies and complex relationships within gesture patterns. In addition, an ensemble of classification processes, such as bidirectional gated recurrent unit (BiGRU), Variational Autoencoder (VAE), and bidirectional long short-term memory (BiLSTM) technique, is employed. …”
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  2. 3042

    An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

    Published 2024-01-01
    “…Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short-term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. …”
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  3. 3043

    Mediodorsal thalamic nucleus mediates resistance to ethanol through Cav3.1 T-type Ca2+ regulation of neural activity by Charles-francois V Latchoumane, Joon-Hyuk Lee, Seong-Wook Kim, Jinhyun Kim, Hee-Sup Shin

    Published 2025-07-01
    “…Thalamocortical activity is known to orchestrate sensory gating and consciousness switching. The precise thalamic regions involved, or the firing patterns related to the unconsciousness, remain unclear. …”
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  4. 3044

    Stem introducer designs and surgical technique play a significant role in achieving the optimal implant-cement interface by Bernard H. van Duren, Kevin Ilo, Sophie Walker, Mark Higgins, Benjamin V. Bloch, Andrew R. Manktelow, Hemant G. Pandit

    Published 2025-05-01
    “…A significant variation exists between PTS stem designs, associated fractured rates among them, and the design of introducers used. …”
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  5. 3045

    Impact of oral hygiene on the development of oropharyngeal neoplasms by D. G. Kiparisova, Yu. S. Kiparisov, N. S. Nurieva

    Published 2015-06-01
    “…The patient hygiene performance (PHP) index (Podshadley, Haley, 1968) was used to estimate his/her baseline ability. The rates of initial visits made by patients with oropharyngeal tumors to physicians of different specialties were also analyzed.Results. …”
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  6. 3046

    Meningitis caused by Aspergillus fumigatus: a case report by Yifei Zhang, Yu Ma, Rushuang Yue, Yuan Meng, Yue Jin, Chengwei Yin, Qianmei Zhou, Rong Shi

    Published 2025-08-01
    “…Conclusion A. fumigatus meningitis represents a rare but life-threatening infection characterized by diagnostic challenges and alarmingly high mortality rates. Stringent diagnostic vigilance is essential to avoid diagnostic errors in these cases. …”
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  7. 3047

    Comparison of phytochemical composition, antimicrobial, antifungal, and antioxidant activities of lipophilic and ethanolic green tea leaf extracts by O. Yu. Maslov, M. A. Komisarenko, S. V. Ponomarenko, S. V. Kolisnyk, T. P. Osolodchenko, M. Yu. Golik

    Published 2024-06-01
    “…The lipophilic extract exhibits greater inhibition of the growth of S. aureus, E. coli, P. vulgaris, B. subtilis, and C. albicans compared to the 96 % ethanolic extract processed with chloroform, with inhibition rates of 19 %, 18 %, 12 %, 12 %, 16 %, and 20 % respectively. …”
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  8. 3048

    SQUAMOUS CELL CARCINOMA OF THE HEAD AND NECK: NEW AVENUES OF TREATMENT? by T. Braunschweig, A. Lewandrowski, D. Smeets, M. V. Bolotin

    Published 2015-04-01
    “…HPV related squamous cell carcinomas show better survival data, especially in regard to recurrence free rates or secondary carcinoma of adjacent locations. …”
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  9. 3049

    Content-Based Brain Magnetic Resonance Image Retrieval and Classification With the Proposed Deep Learning and Tissue-Based System by Bedriye Dogan, Hursit Burak Mutlu, Muhammed Yildirim, Sercan Yalcin, Serpil Aslan, Niranjana Sampathila, Ozal Yildirim, Edward J. Ciaccio, Ru-San Tan, U. Rajendra Acharya

    Published 2025-01-01
    “…Notably, existing machine architectures already published in the literature have struggled to achieve comparable success rates in discerning such closely related yet distinct disease groups. …”
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  10. 3050

    A Long-Term Overview of Elasmobranch Fisheries in an Oceanic Archipelago: A Case Study of the Madeira Archipelago by Mafalda Freitas, Filipa Pinho-Duarte, Madalena Gaspar, Pedro Ideia, João Delgado, Sara C. Cerqueira, Ricardo Sousa

    Published 2025-07-01
    “…Management measures currently in place need to be updated and ought to be based on studies on the type and size of hooks for each fishery, to ultimately infer about species-specific survival rates, as well as the fishing gears’ soak time. Moreover, studies on the enhancement of food supply through fisheries discards are still missing, even though it is highly likely that this input may alter the dynamics of marine food webs.…”
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  11. 3051
  12. 3052

    Comprehensive analysis of Enterococcus spp. from two European healthy infant cohorts shows stable genomic traits including antimicrobial resistance (AMR) by Muhammad Hassan Saeed, Magdalena Kujawska, Kristiana Ellen, Antia Acuna-Gonzalez, Manuel Bernabeu Lorenzo, Maria Carmen Collado, Monique Mommers, Niels van Best, Lindsay J. Hall, Klaus Neuhaus

    Published 2025-12-01
    “…We also selected ten E. faecalis isolates with varying virulence gene repertoires for phenotypic virulence testing in Caenorhabditis elegans and found them killing at various rates, however no clear pattern emerged in correlation with any specific genetic determinant. …”
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  13. 3053

    Discrimination of mercury, cadmium and lead polluted rice leaves based on near infrared spectroscopy technology by ZHANG Long, PAN Jiarong, ZHU Cheng

    Published 2013-01-01
    “…And the correct classification rates of rice in mercury, cadmium and lead polluted soil and control soil were 95.5%, 81.8%, 91.3% and 100.0% respectively.Our results indicated that it should be feasible to develop useful calibration models for the prediction of heavy metal in rice leaves. …”
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  14. 3054

    Preparation and Evaluation of Alpha-2-Macroglobulin Hydrogel for Drug Release Kinetics and Biocompatibility on Human Gingival Fibroblasts: An In-vitro Study by Poulami Chakraborty, ND Jayakumar, S Raghunandhakumar

    Published 2025-08-01
    “…Cytotoxicity tests revealed that the hydrogel was non toxic at concentrations up to 400 micrograms/mL, with cell viability rates exceeding 85%. Additionally, the hydrogel supported cell adhesion and proliferation, suggesting its suitability for periodontal regeneration. …”
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  15. 3055

    Rapid biphasic decay of intact and defective HIV DNA reservoir during acute treated HIV disease by Alton Barbehenn, Lei Shi, Junzhe Shao, Rebecca Hoh, Heather M. Hartig, Vivian Pae, Sannidhi Sarvadhavabhatla, Sophia Donaire, Caroline Sheikhzadeh, Jeffrey Milush, Gregory M. Laird, Mignot Mathias, Kristen Ritter, Michael J. Peluso, Jeffrey Martin, Frederick Hecht, Christopher Pilcher, Stephanie E. Cohen, Susan Buchbinder, Diane Havlir, Monica Gandhi, Timothy J. Henrich, Hiroyu Hatano, Jingshen Wang, Steven G. Deeks, Sulggi A. Lee

    Published 2024-11-01
    “…Defective DNA had a similar biphasic pattern, but data were more variable. Predicted intact and defective decay rates were faster for PLWH with earlier timing of ART initiation, higher initial CD4 + T cell count, and lower pre-ART viral load. …”
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  16. 3056

    Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

    Published 2025-09-01
    “…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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  17. 3057

    Climate change-induced shifts in landslide susceptibility in São Sebastião (southeastern Brazil) by Enner Alcântara, Cheila Flávia Baião, Yasmim Carvalho Guimarães, José Antonio Marengo, José Roberto Mantovani

    Published 2025-06-01
    “…Frequency Ratio (FR) analysis revealed varying levels of landslide susceptibility across scenarios, with RCP2.6 showing lower probabilities for moderate landslides (FR: 0.007946) compared to higher ratings for RCP4.5, RCP6.0, and RCP8.5 (FR: 1.663156 for high landslides). …”
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  18. 3058

    Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

    Published 2025-07-01
    “…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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  19. 3059

    Sleep Restriction and Weekend Sleep Compensation Relate to Eating Behavior in School-Aged Children by Chamorro R, Garrido-González M, Gutierrez M, Santos JL, Weisstaub G

    Published 2025-07-01
    “…Actigraphic recordings measured sleep patterns for 4 consecutive days, including a weekend day. …”
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  20. 3060

    Pedagogical university students’ ethical attitudes and competences regarding artificial intelligence: An empirical study by Alicja Baum, Maria Trzcińska-Król

    Published 2025-06-01
    “…Students expressed more positive attitudes towards the benefits of AI (M = 3.22) than levels of understanding of its disadvantages (M = 2.72). Respondents rated their competences (M = 2.65) and knowledge (M = 2.85) regarding AI as below average. …”
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