Showing 5,181 - 5,200 results of 6,436 for search '"sensors"', query time: 0.09s Refine Results
  1. 5181

    Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

    Published 2025-01-01
    “…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. Given the idiosyncratic, dynamic, and context dependent nature of mental health symptoms, JITAIs hold promise for mental health. …”
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  2. 5182
  3. 5183

    The effectiveness of digital technology-based Otago Exercise Program on balance ability, muscle strength and fall efficacy in the elderly: a systematic review and meta-analysis by Zihao He, Hua Wu, Guanggao Zhao, Yiming Zhang, Chao Li, Yachen Xing, Anjie Xu, Junchao Yang, Ronghui Wang

    Published 2025-01-01
    “…Digital technologies used in the studies were categorized into three types: (1) online interventions (Zoom, WeChat), (2) recorded videos (via computers, TVs, DVDs), and (3) wearable technologies (motion sensors, augmented reality systems). The implementation of OEP based on digital technology showed significantly improved on static balance (SMD = 0.86, 95% CI 0.35–1.37), dynamic balance (SMD = 1.07, 95% CI 0.90–1.24), muscular strength (SMD = 0.43, 95% CI 0.17–0.69), and fall efficacy (SMD=-0.70, 95% CI -0.98, -0.41); Subgroup analysis by period ‘≥12 weeks’, frequency ‘≥3 times/week’, and duration ‘≤45 minutes per session’, respectively, showed significant improvements on static balance (SMD = 0.73, 95% CI 0.21–1.25; SMD = 0.86, 95% CI 0.35–1.37; SMD = 1.10, 95% CI 0.31–1.89), dynamic balance (SMD = 1.08, 95% CI 0.88–1.28; SMD = 1.01, 95% CI 0.93–1.27; SMD = 1.07, 95% CI 0.89–1.25), muscle strength (SMD = 0.43, 95% CI 0.10–0.75; SMD = 0.54, 95% CI 0.30–0.77; SMD = 0.53, 95% CI 0.19–0.87), and fall efficacy (SMD=-0.75, 95% CI -1.39, -0.11; SMD=-0.70, 95% CI -0.98, -0.41; SMD=-0.74, 95% CI -1.10, -0.39). …”
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  4. 5184

    High-Throughput Phenotyping for Agronomic Traits in Cassava Using Aerial Imaging by José Henrique Bernardino Nascimento, Diego Fernando Marmolejo Cortes, Luciano Rogerio Braatz de Andrade, Rodrigo Bezerra de Araújo Gallis, Ricardo Luis Barbosa, Eder Jorge de Oliveira

    Published 2024-12-01
    “…Aerial imaging showed high potential for estimating plant height, regardless of flight height (<i>r</i> = 0.99), although lower-altitude flights (20 m) resulted in less biased estimates of this trait. Multispectral sensors showed higher correlations compared to RGB, especially for vigor, shoot yield, and fresh root yield (−0.40 ≤ <i>r</i> ≤ 0.50). …”
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  5. 5185

    Optimization of the Screw Conveyor Device Based on a GA-BP Neural Network by Qiang Guo, Yunpeng Zhuang, Houzhuo Xu, Wei Li, Haitao Li, Zhidong Wu

    Published 2025-01-01
    “…Drones, sprayers equipped with GPS and other sensors, combine harvesters, and other machinery can greatly improve agricultural productivity. …”
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  6. 5186

    Oxidative damage to DNA, expression of Mt-1, and activation of repair mechanisms induced by vanadium trioxide in cultures of human lymphocytes by V.A. Alcántara-Mejía, A.A. Beltrán-Flores, R.A. Mateos-Nava, L. Álvarez-Barrera, I.U. Bahena-Ocampo, E. Santiago-Osorio, E. Bonilla-González, J.J. Rodríguez-Mercado

    Published 2025-06-01
    “…The expression levels of sensor proteins (ATM and ATR) involved in DNA damage were determined via Western blotting, and the mRNA expression levels of metallothionein 1 (Mt-1) and genes involved in DNA repair (OGG1, APE1, XPB, XPD, MRE11, RAD50, Ku70, and Ku80) were estimated via RT-PCR and qPCR. …”
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  7. 5187

    Estimation of mangrove carbon stocks using unmanned aerial vehicle over coastal vegetation by S.H. Larekeng, M. Nursaputra, M.F. Mappiasse, S. Ishak, M. Basyuni, E. Sumarga, V.B. Arifanti, A.A. Aznawi, Y.I. Rahmila, M. Yulianti, R. Rahmania, A. Mubaraq, S.G. Salmo III, H. Ali, I. Yenny

    Published 2024-07-01
    “…Drones equipped with multispectral sensors enable the collection of precise and comprehensive data on vegetation and elevation in many ecological systems. …”
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  8. 5188

    Precision Target Spraying System Integrated with Remote Deep Learning Recognition Model for Cabbage Plant Centers by ZHANG Hui, HU Jun, SHI Hang, LIU Changxi, WU Miao

    Published 2024-11-01
    “…[Methods]The targeted spraying control system incorporates advanced sensors and computing equipment that were capable of obtaining real-time data regarding the location of crops and the surrounding environmental conditions. …”
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  9. 5189
  10. 5190

    Estimación de la cubierta de nieve en el norte de la provincia del Neuquén. by Marisa Gloria Cogliati, Damián Groch, Florencia Gisella Finessi

    Published 2013-12-01
    “…Para la validación de los resultados se realizó un estudio similar a partir de imágenes simultáneas del sensor ETM+ (Enhanced Thematic Mapper Plus) a bordo del satélite LANDSAT 7, con mayor resolución espacial. …”
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  11. 5191

    Geometry-symmetry-free and material-symmetry-guaranteed polariton-induced transparency by Xingyu Tang, Huaping Wang, Zhenyang Cui, Sihao Xia, Zhiwei He, Song Han, Hongsheng Chen, Yingjie Wu

    Published 2025-02-01
    “…These findings highlight the potential of polariton modes beyond PPs in PIT systems, with applications in sensors, modulators, and slow light systems.…”
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  12. 5192

    The 0ν2β-decay CROSS experiment: preliminary results and prospects by The CROSS collaboration, I. C. Bandac, A. S. Barabash, L. Bergé, M. Brière, C. Bourgeois, P. Carniti, M. Chapellier, M. de Combarieu, I. Dafinei, F. A. Danevich, N. Dosme, D. Doullet, L. Dumoulin, F. Ferri, A. Giuliani, C. Gotti, P. Gras, E. Guerard, A. Ianni, H. Khalife, S. I. Konovalov, E. Legay, P. Loaiza, P. de Marcillac, S. Marnieros, C. A. Marrache-Kikuchi, C. Nones, V. Novati, E. Olivieri, C. Oriol, G. Pessina, D. V. Poda, T. Redon, V. I. Tretyak, V. I. Umatov, M. M. Zarytsky, A. S. Zolotarova

    Published 2020-01-01
    “…In this paper, we demonstrate that ultra-pure superconductive Al films deposited on the crystal surfaces act successfully as pulse-shape modifiers, both with fast and slow phonon sensors. Rejection factors higher than 99.9% of α surface radioactivity have been demonstrated in a series of prototypes based on crystals of Li2MoO4 and TeO2. …”
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  13. 5193

    Potential and limitations of noise-based surface-wave tomography for numerical site effect estimation: a case study in the French Rhône valley by Lavoué, François, Froment, Bérénice, Gélis, Céline, Boué, Pierre,  Chaljub, Emmanuel, Stehly, Laurent, Beauprêtre, Sophie, De Martin, Florent,  Gisselbrecht, Loïc, Pilz, Marco, Moiriat, Denis, Cushing, Edward Marc

    Published 2024-07-01
    “…On the other hand, we exploit one-month-long ambient noise recordings acquired by a dense array of 400 3C sensors. Prior to this work, this noise data was used to build a 3D shear-wave velocity (VS) model of the target site via ANSWT, and also to estimate seismic amplification via noise-based Standard Spectral Ratios (SSRn). …”
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  14. 5194

    Canopy structure modulates the sensitivity of subalpine forest stands to interannual snowpack and precipitation variability by M. Berkelhammer, G. F. M. Page, G. F. M. Page, F. Zurek, C. Still, C. Still, M. S. Carbone, M. S. Carbone, W. Talavera, L. Hildebrand, J. Byron, K. Inthabandith, A. Kucinski, M. Carlson, K. Foss, W. Brown, R. W. H. Carroll, A. Simonpietri, M. Worsham, I. Breckheimer, I. Breckheimer, A. Ryken, R. Maxwell, R. Maxwell, D. Gochis, M. S. Raleigh, E. Small, K. H. Williams, K. H. Williams

    Published 2025-02-01
    “…Here, we present data from a network of sap velocity sensors and xylem water isotope measurements from three common tree species (<i>Picea engelmannii</i>, <i>Abies lasiocarpa</i> and <i>Populus tremuloides</i>) across a hillslope transect in a subalpine watershed in the Upper Colorado River basin. …”
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  15. 5195

    CREB3L1 facilitates pancreatic tumor progression and reprograms intratumoral tumor-associated macrophages to shape an immunotherapy-resistance microenvironment by Yu Wang, Haiyan Xu, Li Cai, Yang Sun, Liwei Wang, Ming Yue, Xiaofei Zhang, Yanling Wang, Shumin Li, Shengbai Xue, Jingyu Ma, Tiebo Mao, Weiyu Ge, Daiyuan Shentu, Wenxin Lu, Yongchao Wang, Jiong Hu, Jiujie Cui

    Published 2025-01-01
    “…Background To date, a growing body of evidence suggests that unfolded protein response (UPR) sensors play a vital role in carcinogenesis. However, it remains unclear whether they are involved in pancreatic ductal adenocarcinoma (PDAC) and how they relate to clinical outcomes. …”
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  16. 5196

    Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios by L. Vallet, L. Vallet, C. Abdallah, T. Lauvaux, L. Joly, M. Ramonet, P. Ciais, M. Lopez, I. Xueref-Remy, F. Mouillot

    Published 2025-01-01
    “…Recent increases in resolution have improved previous estimates of burned areas and aboveground biomass while increasing the information content used to derive emission factors, complemented by airborne sensors deployed in the tropics. To date, temperate forests, characterized by a lower fire incidence and stricter aerial surveillance restrictions near wildfires, have received less attention. …”
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  17. 5197
  18. 5198
  19. 5199

    600 meters to VO2max: Predicting Cardiorespiratory Fitness with an Uphill Run by Kübra Stoican, Regina Oeschger

    Published 2025-01-01
    “…Validity of the wrist-worn polar vantage V2 to measure heart rate and heart rate variability at rest. Sensors, 22(1), 137. Ashfaq, A., Cronin, N., & Müller, P. (2022). …”
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  20. 5200

    Mathematical modelling and simulation analysis of a modified Butterworth van Dyke circuit model for non‐invasive diabetes detection by Srinivasan Lekha, Suchetha Manikandan

    Published 2017-11-01
    “…In this study, acetone levels are measured using quartz crystal microbalance sensor that has wide‐scale application as a bio‐sensor. …”
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