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Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology

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Computational Approaches and Tools as Applied to the Study of Rhythms and Chaos in Biology

Flesia, Ana Georgina et al · Humana New York · 2022 · ISSN 0716-1830

The temporal dynamics in biological systems displays a wide range of behaviors, from periodic oscillations, as in rhythms, bursts, long-range (fractal) correlations, chaotic dynamics up to brown and white noise. Herein, ...

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Estimação de componentes de variância sob influência de genes de efeito principal, comparando-se metodologias Bayesiana e clássica sob diferentes cenários Estimation of variance components under major genes influence, comparing Bayesian and classical methodologies under different scenarios

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Giselle Mariano Lessa de Assis et al · Sociedade Brasileira de Zootecnia · 2007 · ISSN 1516-3598

Quatro diferentes tipos de população foram simulados com o objetivo de verificar a influência de genes de efeito principal e do tamanho da população na estimação de componentes de variância sob seleção. A estim...

LCC LCC:Animal cultureIdioma eng

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Next generation validation for next generation risk assessment

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Next generation validation for next generation risk assessment

Karolina Kopańska et al · Frontiers Media S.A · 2026 · ISSN 2673-3080

Next generation risk assessment (NGRA) demands a fundamental transformation in how toxicological test methods are validated. Traditional validation approaches, designed for animal tests and mainly for simple in vitro met...

LCC TENDOlRveGljb2xvZ3kuIFBvaXNvbnM~Idioma eng

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A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans

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A logic-based knowledge-driven bidirectional multi-attention GRU framework for fear level classification in humans

Adlene Anusha Joshva et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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Automated calculation of slice-specific volume computed tomography dose index, water-equivalent diameter, and size-specific dose estimation for computed tomography scans

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Automated calculation of slice-specific volume computed tomography dose index, water-equivalent diameter, and size-specific dose estimation for computed tomography scans

Supawitoo Sookpeng et al · Turkish Society of Radiology · 2026 · ISSN 1305-3825

PURPOSE: To develop and validate an automated computational tool for calculating a slice-specific volume computed tomography (CT) dose index (CTDIvol), a water-equivalent diameter (Dw), and size-specific dose estimates (...

LCC TENDOk1lZGljYWwgcGh5c2ljcy4gTWVkaWNhbCByYWRpb2xvZ3kuIE51Y2xlYXIgbWVkaWNpbmU~Idioma eng

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Automated experimentally validated antenna design framework using versatile parameterization scheme

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Automated experimentally validated antenna design framework using versatile parameterization scheme

Slawomir Koziel et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract Modern antenna design is an intrinsic undertaking. It relies heavily on expert knowledge and computational tools, especially electromagnetic (EM) simulation software. The most daunting phase is the development o...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials

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Deep Learning-Based Structural Health Monitoring: A Multi-Scale Neural Network Approach for Real-Time Damage Detection in Composite Materials

Ali Khalid Younis Al-Taie · University of Mosul, College of Education for Pure Science · 2025 · ISSN 1812-125X

For the structural health monitoring of composite materials, data analysis technology must be very sophisticated, capable of detecting fault patterns that are multi-level and complicated. A comprehensive deep learning pa...

LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng

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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches

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A Data-driven Comprehensive Analysis of Occupational Health and Safety in Turkey: Application of Statistical and Machine Learning Approaches

Meltem Aksoy et al · Springer · 2026 · ISSN 1875-6883

Abstract Occupational Health and Safety (OHS), which holds substantial importance due to its profound human implications and far-reaching economic consequences, requires effective management to minimize workplace acciden...

LCC LCC:Electronic computers. Computer scienceIdioma eng

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Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the xARPES code

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Extraction of the self energy and Eliashberg function from angle resolved photoemission spectroscopy using the xARPES code

Thomas P. van Waas et al · Nature Portfolio · 2026 · ISSN 2057-3960

Abstract Angle-resolved photoemission spectroscopy is a powerful experimental technique for studying anisotropic many-body interactions through the electron spectral function. Existing attempts to decompose the spectral ...

LCC LCC:Materials of engineering and construction. Mechanics of materials; LCC:Computer softwareIdioma eng

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