Showing 321 - 340 results of 432 for search 'T42 (classification)', query time: 0.06s Refine Results
  1. 321

    Ineffective health maintenance behaviors in people with chronic conditions: Systematic review of etiology and risk by Ana Clara Dantas, Barbara Ebilizarda Coutinho Borges, Jéssica Naiara de Medeiros Araújo, Marcos Venícios de Oliveira Lopes, Amanda Barbosa da Silva, Allyne Fortes Vitor

    Published 2025-02-01
    “…Regarding study characterization, the majority were published in 2022 (33.3 %), North America was the continent with the highest number of studies (42.8 %) and 85.7 % of studies were cross-sectional. …”
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    Scrutiny on the grammatical error of descriptive text written by the first semester public health students Universitas Faletehan by Kety Soraya

    Published 2022-06-01
    “…They covered 495 (35.33%) errors of articles, 280 (19.98%) errors of nouns, 225 (16.05%) errors of preposition, 116 (8.27%) errors of adjectives, 62 (5.42%) errors of verb, 58 (5.07%) errors of conjunction, 44 (3.84%) errors of pronouns, and 110 (7.85%) errors of verbs. …”
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    Usefulness of Background Coloration in Detection of Esophago-Pharyngeal Lesions Using NBI Magnification by Hitomi Minami, Haruhiro Inoue, Haruo Ikeda, Hitoshi Satodate, Shigeharu Hamatani, Kazuhiko Nakao, Shin-ei Kudo

    Published 2012-01-01
    “…Among 68 lesions classified into the IPCL type IV, the BC-positive group (n=26) included 21 SCC/HGN lesions, while there were 36 LGN/nonatypia lesions in the 42 BC-negative lesions. Conclusions. BC is a useful finding in differentiating SCC/HGN from LGN/nonatypia lesions in the esophagus especially when it is combined with IPCL pattern classification.…”
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  8. 328

    Hodgkin Lymphoma at the Paediatric Oncology Unit of Gabriel Touré Teaching Hospital, Bamako, Mali: 5-Year Experience by B. Togo, F. Traoré, A. P. Togo, C. B. Traoré, K. Dumke, M. Diawara, A. A. Diakité, M. Sylla, F. Traoré-Dicko, B. Traoré, T. Sidibé

    Published 2011-01-01
    “…The sex-ratio was 6/1. 4% (5/7) of patients were stage IIB and 28.6% (2/7) stage IIIB of Ann-Arbor classification. There were 3 cases (42.8%) of sclero-nodular subtype, 2 cases (28.6%) of lymphocyte-rich classical HL subtype, 1 case (14.3%) of mixed cellularity and 1 case (14.3%) of lymphocyte depleted subtype. …”
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    Data linkage of German statutory health insurance claims data and care needs assessments preceding a population-based cohort study on nursing home admission by Karin Wolf-Ostermann, Dominik Domhoff, Kathrin Seibert, Susanne Stiefler, Dirk Peschke

    Published 2022-06-01
    “…We obtained CNA data for the year 2006 including 188 935 individuals.Results We could link CNAs to 66 310 individuals of the original study cohort, corresponding to 42.0%. Records from two federal states could not be matched due to missing data. …”
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  11. 331

    Assessing the Use of Crushed Rock Aggregate and Carbon Black for Laterite Soil Stabilization in Road Construction. by Turyamureeba, Emmanuel

    Published 2024
    “…The results classified the soil as Clayey Gravel with Sand of high plasticity according to the Unified Soil Classification System (USCS), confirming the need for stabilization for road base use. …”
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  12. 332

    Chinese medicine for headaches in emergency department: a retrospective analysis of real-world electronic medical records by Zhenhui Mao, Shirong Wu, Yuzhen Fan, Jingbo Sun, Shaohua Lyu, Qiaozhen Su

    Published 2025-01-01
    “…Approximately 97% of the patients received a general diagnosis of headaches without further classification. Hypertension was the most prevalent concomitant diagnosis, affecting 27.42% of the patients. …”
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    Correlation between Obesity and Left Atrial Enlargement in Patients Using Cardiac Magnetic Resonance by Solos Jaturapisanukul, Yodying Kaolawanich, Methat Meechuen, Thananya Boonyasirinant

    Published 2025-02-01
    “…The mean BMI was 25.7 ± 4.2 kg/m2. CMR parameters revealed an LA volume of 75.7 ± 22.5 mL, a left ventricular (LV) ejection fraction of 71.1 ± 9.5%, and an LV mass index of 46.1 ± 27.4 g/m2. …”
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    Model for predicting metabolic activity in athletes based on biochemical blood test analysis by Victoria A. Zaborova, Evgenii I. Balakin, Ksenia A. Yurku, Olga E. Aprishko, Vasiliy I. Pustovoyt

    Published 2025-05-01
    “…The study involved athletes from the track and field athletics team (men, n ​= ​42, average age was [22.55 ​± ​3.68] years). Blood samples were collected in the morning at the beginning and end of the training week during the annual cycle. …”
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