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Trong Nguyen

United States
As seen in: Emerging Infectious Diseases Journal, Nature, Wiley Online Library, Journal of Automated Methods and Management in Chemistry, MDPI, Taylor & Francis Online, BioRxiv, The Lancet, Canadian Journal of Infectious Diseases & Medical Microbiology, WCPO-TV (Cincinnati, OH) and
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Articles

A wearable device dataset for mental health assessment using laser Doppler flowmetry and fluorescence spectroscopy sensors

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By Minh Ngoc Nguyen, Minh Nguyễn, Khai Le-Duc, Tan-Hanh Pham, Trong Nguyen, Trang Nguyen, Trang Nguyễn, Trạng nguyên, Ba Kien Tran, Viktor Dremin, Edik Rafailov, Truong-Son Hy, Sergei Sokolovsky
| Nature Verified
Abstract Mental health conditions such as depression, anxiety, and stress are commonly assessed using self-reported questionnaires and limited wearable physiological measures. However, reliance on subjective reporting, restricted sensor modalities such as heart rate variability and electrodermal activity, and small or homogeneous datasets may limit generalizability.
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Копирование сделок торгового сигнала Apex100 для MetaTrader 5

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By Trong Nguyen
| mql5.com
Счет История сделок Статистика Риски Проскальзывание Описание Отзывы Новости Авторизуйтесь или зарегистрируйтесь и получите доступ к текущим сделкам поставщика Средства Просадка Всего трейдов: 92 Прибыльных трейдов: 71 (77.17%) Убыточных трейдов: 21 (22.83%) Лучший трейд: 56.23 USD Худший трейд: -18.39 USD Общая прибыль: 401.00 USD (133 032 pips) Общий убыток: -95.45 USD (59 373 pips) Макс. серия выигрышей: 14 (24.57 USD) Макс.
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A Multi-Fidelity Approach For Forecasting Seismic Responses in Building Structures

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By Trong Nguyen
| purdue.edu
Home > Libraries > LIBRARIESPUBLISHING > LIBPUB_SERIALS > CIB-CONFERENCES > Vol. 2 (2026) Structural dynamics, Multi-fidelity framework, Seismic response prediction, physics-based model Mai, Quynh Doan Thi; Dang, Viet Hung; and Nguyen, Trong Phu (2026) "A Multi-Fidelity Approach For Forecasting Seismic Responses in Building Structures," CIB Conferences: Vol. 2 Article 41. DOI: https://doi.org/10.7771/3067-4883.2199 DOWNLOADS COinS
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