Showing 4,121 - 4,140 results of 4,968 for search 'data set detection', query time: 0.19s Refine Results
  1. 4121

    High-time-cadence Spectroscopy and Photometry of Stellar Flares on M-dwarf YZ Canis Minoris with Seimei Telescope and TESS. II. Statistical Properties of Blue/Red Asymmetries in th... by Yuto Kajikiya, Kosuke Namekata, Yuta Notsu, Kai Ikuta, Hiroyuki Maehara, Bunei Sato, Daisaku Nogami

    Published 2025-01-01
    “…In this study, we statistically investigate how blue/red asymmetries are related to their flare and starspot properties, using the data set from 27 H α flares in Paper I and previously reported 8 H α flares on an M-dwarf, YZ Canis Minoris. …”
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  2. 4122

    Plasma FGF2 and YAP1 as novel biomarkers for MCI in the elderly: analysis via bioinformatics and clinical study by Yejing Zhao, Yejing Zhao, Xiang Wang, Jie Zhang, Yanyan Zhao, Yi Li, Ji Shen, Ying Yuan, Jing Li

    Published 2025-08-01
    “…The contemporary consensus firmly emphasizes the urgent need to reorient research efforts toward the early detection of preclinical Alzheimer’s disease (AD) or mild cognitive impairment (MCI). …”
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  3. 4123

    Genome-wide assessment of genetic diversity and fiber quality traits characterization in Gossypium hirsutum races by Kiflom Weldu Okubazghi, Xiao-na LI, Xiao-yan CAI, Xing-xing WANG, Hao-dong CHEN, Zhong-li ZHOU, Chun-ying WANG, Yu-hong WANG, Fang LIU, Kun-bo WANG

    Published 2017-11-01
    “…The SSR and fiber quality traits data set based unweighted pair group method of arithmetic mean (UPGMA) analysis grouped the accessions into 7 and 12 distinct clusters, respectively, that corresponds well with the results of principal component analysis (PCA). …”
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  4. 4124
  5. 4125

    Timing of respiratory virus molecular testing in emergency departments and its association with patient care outcomes: a retrospective observational study across six Australian hos... by Andrew Georgiou, Ling Li, Johanna Westbrook, Nasir Wabe, Maria R Dahm, Robert Lindeman, Ruth Yimsung, Kate Clezy, Judith Thomas, Wayne Varndell

    Published 2019-08-01
    “…The aim of the study was to determine if the timing of respiratory virus testing using a RMDT in the ED had an association with patient care outcomes.Design Retrospective observational study.Setting Linked ED and laboratory data from six EDs in New South Wales, Australia.Participants Adult patients presenting to EDs during the 2017 influenza season and tested for respiratory viruses using a RMDT. …”
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  6. 4126

    Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI by V. J. H. Trees, V. J. H. Trees, P. Wang, P. Stammes, L. G. Tilstra, D. P. Donovan, D. P. Donovan, A. P. Siebesma

    Published 2025-01-01
    “…Hence, the quantification of the cloud shadow impact requires the analysis of large data sets. Here we use the cloud shadow detection algorithm DARCLOS to detect cloud shadow pixels in the TROPOMI absorbing aerosol index (AAI) product over Europe during 8 months. …”
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  7. 4127

    Ophthalmologists’ and patients’ perspectives on treatments for diabetic retinopathy and maculopathy in Vietnam: a descriptive qualitative study by Tunde Peto, Nathan Congdon, Lynne Lohfeld, Hoang Tran, Katie Curran, Van Thu Nguyen, Tung Thanh Hoang, Hue Thi Nguyen, Quan Nhu Nguyen, Catherine Dardis, Hoang Huy Tran, Anh Tuan Vu, Mai Quoc Tung

    Published 2022-07-01
    “…Introduction Globally, diabetic retinopathy (DR) is the leading cause of blindness in working-aged adults. Early detection and treatment of DR is essential for preventing sight loss. …”
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  8. 4128

    An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

    Published 2025-01-01
    “…By combining pain monitoring with SP signals and ML, subjective pain experiences are transformed into quantifiable data, achieving high accuracy and real-time measurement capabilities. …”
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  9. 4129

    Effect of the LifeSpan suicide prevention model on self-harm and suicide in four communities in New South Wales, Australia: a stepped-wedge, cluster randomised controlled trial by Helen Christensen, Michelle Torok, Matthew Phillips, Grant Sara, Andrew Page, Andrew Mackinnon, Henry Cutler, Alison L Calear, Isabel Zbukvic, Philip J Batterham, Lisa N Sharwood, Fiona Shand, Myfanwy Maple, Alexander Burnett, Brian Draper, Lauren McGillivray, Jiahui Qian, Stephanie Zeritis, Demee Rheinberger

    Published 2025-03-01
    “…Sites were randomised to a starting order and implemented the same set of interventions over a 24-month period. Changes in rates of hospital presenting self-harm and suicide deaths were measured using linked administrative health data sets of persons aged 10 or older.Results Negative binomial regression models adjusted for linear trends and seasonality showed that LifeSpan was associated with a 13∙8% (incident response rate 0.86; 95% CI 0.79 to 0.94) reduction in hospital-presenting self-harm rates over the intervention period, compared with preintervention. …”
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  10. 4130

    Analysing Time Series of Land Subsidence in the West of Tehran Province (Shahriar Plain) and its Relation to Groundwater Discharge by InSAR Technique by Ramin Papi, ُSara Attarchi, Masoud Soleimani

    Published 2020-06-01
    “…The time series selection of SAR data was determined according to the availability of well depth data. …”
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  11. 4131

    Machine Learning-Assisted NIR Spectroscopy for Dynamic Monitoring of Leaf Potassium in Korla Fragrant Pear by Mingyang Yu, Weifan Fan, Junkai Zeng, Yang Li, Lanfei Wang, Hao Wang, Feng Han, Jianping Bao

    Published 2025-07-01
    “…By measuring leaf potassium content at the fruit setting, expansion, and maturity stages (decreasing from 1.60% at fruit setting to 1.14% at maturity), this study reveals its dynamic change pattern and establishes a high-precision prediction model by combining near-infrared spectroscopy (NIRS) with machine learning algorithms. …”
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  12. 4132

    Farm conditions shape microbial communities and their association with methane intensity in dairy cattle: insights from the rumen microbiome at the community level by Simon Roques, Lisanne Koning, Alex Bossers, Alex Bossers, Sanne van Gastelen, Dirkjan Schokker, Edoardo Zaccaria, Léon Šebek, Soumya K. Kar

    Published 2025-04-01
    “…Even with control over key variables, the inherent variability of on-farm conditions impeded the detection of stable microbial patterns. In conclusion, our study clearly indicates that understanding CH4 emissions from dairy cattle in real-world settings fundamentally requires a broader ecological perspective where rumen microbes are recognized as key determinants influencing microbiota signals within multi-factorial farm settings.…”
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  13. 4133

    Predicting communities with high tuberculosis case-finding efficiency to optimise resource allocation in Pakistan: comparing the performance of a negative binomial spatial lag mode... by Hasan Tahir, Frank Cobelens, Christina Mergenthaler, Mirjam I Bakker, Tanveer Ahmed, Jake D Mathewson, Daniella Brals, Abdullah Latif, Stephanie Lako, Andreas Werle van der Merwe, Matthys Potgieter, Vincent Meurrens, Zia Samad, Ente Rood

    Published 2025-05-01
    “…The aim of this study was to cross-validate TB positivity rate predictions in ACF settings of an existing Bayesian machine learning (BML) with a simpler frequentist model.Methods We conducted a retrospective analysis of cross-sectional data to identify predictors for detection of bacteriologically confirmed TB cases during ACF events in Pakistan. …”
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  14. 4134
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  16. 4136

    Development and validation of hierarchical signature for precision individualized therapy based on the landscape associated with necroptosis in clear cell renal cell carcinoma by Gao-Sheng Yao, Jun-Shang Dai, Jun-Shang Dai, Liang-Min Fu, Liang-Min Fu, Juan Lin, Zhi-Ping Tan, Lei Dai, Wei Chen, Jun-Hang Luo, Jun-Hang Luo, Jin-Huan Wei

    Published 2025-04-01
    “…Then, we used unsupervised clustering to divide the samples into two subtypes related to necroptosis with significant differences in overall survival (OS) and subsequently detected the differentially expressed genes (DEGs) between them. …”
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  17. 4137
  18. 4138

    Safety assessment of temozolomidee: real-world adverse event analysis from the FAERS database by Yu Liu, Lan Ma, Lan Ma, Xiaojia Fu, Xiaojia Fu, Yi Zhang, Yi Zhang, Jinyu Zheng, Zhongjun Chen

    Published 2025-08-01
    “…Although temozolomidee has a certain efficacy in the treatment of brain malignancies, its numerous adverse effects (AEs) suggest that its safety needs to be thoroughly evaluated.MethodsBased on data from the FDA Adverse Event Reporting System (FAERS) database, a retrospective pharmacovigilance study was conducted to evaluate temozolomide-related adverse events. …”
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  19. 4139

    Health system costs of a breast cancer early diagnosis programme in a rural district of Rwanda: a retrospective, cross-sectional economic analysis by Lydia E Pace, Lawrence N Shulman, Jean Claude Mugunga, Parsa Erfani, Kayleigh Pavitra Bhangdia, Rashidah Nambaziira, Lysa Carolle Niteka, Jean Marie Vianney Dusengimana, John Ruhumuriza, Marie Louise Uwineza, Vestine Rugema, Cyprien Shyirambere, Melany Rabideau

    Published 2022-06-01
    “…We also aimed to estimate the cost of implementing the programme in other districts with different referral pathways and identify opportunities for enhanced cost efficiency.Design Retrospective, cross-sectional analysis using time-driven activity-based costing, based on timed patient clinical encounters, retrospective patient data and unit costs of resources abstracted from administrative and finance records.Setting The BCED programme focused on timely evaluation of individuals with breast symptoms. …”
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  20. 4140

    Risk Assessment of Exposure to Chemical Pollutants in Industry Through the Development of a Hybrid Approach Based on Fuzzy Logic by Sadaf Jahangiri, Noushin Birjandi, Morteza Ghobadi

    Published 2024-12-01
    “…This method allows for more accurate and effective risk assessment by considering uncertainties and ambiguities in the data. The study included the assessment of the likelihood of hazard occurrence, the severity of hazard occurrence, the detection probability, hazard effects, risk priority number, and the necessary control measures and proposed actions. …”
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