Showing 4,421 - 4,440 results of 56,754 for search 'data developing analysis', query time: 0.50s Refine Results
  1. 4421
  2. 4422

    Time-lapse imaging systems for embryo incubation and assessment to improve reproductive outcomes in women undergoing in vitro fertilisation: study protocol for an individual partic... by Hannah Park, Cornelis B Lambalk, Madelon van Wely, Shakila Thangaratinam, Laura Del Campo, Peter Kovacs, Javier Zamora, Khalid Saeed Khan, Carlijn G Vergouw, Patricia Fauque, Priya Bhide, David Yiu Leung Chan, Aisling Ahlström, Dorit Kieslinger, Kersti Lundin, Semra Kahraman

    Published 2025-07-01
    “…This may be attributed to heterogeneity in participant populations and/or variations in the use of TLI, as highlighted in the aggregate meta-analyses.Methods and analysis Our research proposal for evidence synthesis using individual participant data meta-analysis will provide greater power than aggregate meta-analysis to detect differential treatment effects for effectiveness (live birth, clinical pregnancy) and safety (pregnancy loss, multiple births, congenital malformations) outcomes across three comparisons (overall effect, undisturbed culture and morphokinetic parameters). …”
    Get full text
    Article
  3. 4423

    Novel Hemorrhagic Risk Score in Elderly Patients with Coronary Artery Disease and Gastrointestinal Malignant Tumor Comorbidity: A 10-year Clinical Inpatient Data Analysis from 2 Me... by Nandi Bao, Wanling Wang, Huitao Wu, Yabin Wang, Hebin Che, Wenwen Meng, Jiaxin Miao, Dong Han, Fan Yin, Tianyu Xu, Xiaoxia Fu.

    Published 2021-09-01
    “…This study aimed to establish an individualized bleeding risk assessment system based on the analysis of 10-year inpatient clinical big data. Methods:. …”
    Get full text
    Article
  4. 4424

    Requirement Analysis for Data-Driven Electroencephalography Seizure Monitoring Software to Enhance Quality and Decision Making in Digital Care Pathways for Epilepsy: A Feasibility... by Pantea Keikhosrokiani, Johanna Annunen, Jonna Komulainen-Ebrahim, Jukka Kortelainen, Mika Kallio, Päivi Vieira, Minna Isomursu, Johanna Uusimaa

    Published 2025-05-01
    “…These guidelines encompass system requirements, data collection and analysis, and user training, offering a comprehensive road map for the effective implementation of the software. …”
    Get full text
    Article
  5. 4425

    Remote data collection speech analysis and prediction of the identification of Alzheimer’s disease biomarkers in people at risk for Alzheimer’s disease dementia: the Speech on the... by Craig W Ritchie, Saturnino Luz, Sarah Gregory, John Harrison, Alexandra König, Nicklas Linz, Kai Langel, Hannah Pullen

    Published 2022-03-01
    “…The outcome of this analysis will inform the development of an algorithm for prediction of AD risk based on speech features.Ethics and dissemination This study has been approved by the Edinburgh Medical School Research Ethics Committee (REC reference 20-EMREC-007). …”
    Get full text
    Article
  6. 4426
  7. 4427
  8. 4428

    Benefits and harms of perioperative high fraction inspired oxygen for surgical site infection prevention: a protocol for a systematic review and meta-analysis of individual patient... by Paul Myles, Markus W Hollmann, Janet Martin, Andrew Forbes, Benedetta Allegranzi, Kate Leslie, Robert Greif, Matthew TV Chan, Christian S Meyhoff, Marcel GW Dijkgraaf, Stijn W de Jonge, Carlos Ferrando, Kane Pryor, Andrea Kurz, Daniel I Sessler, Pascal Thibon, Marja Boermeester, Rick H Hulskes, Maedeh Zokaei Nikoo, Robert P Weenink, Ozan Akca, F Javier Belda, Gabriel M Gurman, Christina M Scifres, David S McKenna, Jannicke Mellin-Olsen

    Published 2023-10-01
    “…The purpose of this individual participant data meta-analysis is to assess the described benefits and harms of intraoperative high FiO2compared with regular (0.21–0.40) FiO2 and its potential effect modifiers.Methods and analysis Two reviewers will search medical databases and online trial registries, including MEDLINE, Embase, CENTRAL, CINAHL, ClinicalTrials.gov and WHO regional databases, for randomised and quasi-RCT comparing the effect of intraoperative high FiO2 (0.60–1.00) to regular FiO2 (0.21–0.40) on SSI within 90 days after surgery in adult patients. …”
    Get full text
    Article
  9. 4429

    Impact of vaccination status on the clinical course and outcomes of acute COVID-19 period: data from the international registry "Dynamics Analysis of Comorbidities in SARS-CoV-2 Su... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, D. S. Polyakov, Yu. M. Lopatin, A. I. Chesnikova, L. A. Balykova, A. R. Vaisberg, A. S. Galyavich, N. Yu. Grigorieva, V. B. Grinevich, I. V. Gubareva, I. V. Demko, A. V. Zharkov, D. N. Zaitsev, Z. F. Kim, V. L. Korobka, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, A. G. Obrezan, A. G. Hovakimyan, S. V. Pereverzev, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, A. P. Rebrov, O. A. Rubanenko, D. Yu. Ruzanov, A. V. Svarovskaya, N. M. Selezneva, E. A. Smirnova, A. B. Sygraliev, O. V. Khlynova, I. I. Shaposhnik, D. A. Sh'ukarev, A. K. Abdrakhmanova, T. P. Abdualimov, A. V. Agafonov, V. G. Hakobjanyan, L. N. Allahkuliyeva, A. V. Aparkina, O. Yu. Barysheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, Ya. A. Belenikina, I. V. Bikushova, A. Zh. Botabekova, S. N. Botova, V. O. Bochkareva, G. A. Bykova, K. R. Vagapova, V. V. Vasilev, N. N. Vezikova, K. S. Viktorov, V. V. Genkel, A. I. Girivenko, O. P. Girich, E. S. Godunko, N. V. Gordeeva, E. D. Gordeychuk, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, I. L. Davydkin, A. K. Duisenova, D. S. Evdokimov, L. S. Evdokimova, A. E. Zheldybayeva, Yu. D. Zimina, I. A. Zolotovskaya, E. Yu. Ivanchenko, A. K. Izhanova, M. V. Kazakovtseva, S. F. Ghazaryan, M. K. Kaidarbek, I. A. Karetnikov, N. A. Karoli, D. S. Kaskaeva, E. S. Kim, E. V. Kozlov, V. Yo. Koliev, M. I. Koliadich, D. Yu. Konstantinov, E. A. Konstantinova, A. K. Konussova, A. V. Korobka, A. A. Korolev, N. B. Kosacheva, Yu. A. Kravchuk, A. Yu. Kraposhina, T. V. Kryukova, A. S. Kuznetsova, K. V. Kuzmichev, O. Yu. Kuchiyash, Yu. I. Lebedeva, T. M. Levina, K. V. Levchenko, Artem Vyacheslavovich Levshin, A. A. Ledyaeva, T. V. Lisun, N. A. Lyubavina, M. V. Lyubimov, N. A. Magdeyeva, O. A. Mazhara, V. I. Maiseenko, A. S. Makarova, V. D. Ma-Van-de, A. A. Matuzkova, O. V. Mashkunova, E. S. Melnikov, N. B. Moiseenko, N. V. Mukha, N. M. Nikitina, D. V. Oblavatckii, I. A. Obukhova, O. V. Obukhova, Sh. O. Ospanova, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, E. V. Ponomarenko, L. L. Popova, M. V. Popov, A. O. Rubanenko, O. A. Rusinova, F. E. Rustamova, A. M. Sadykova, P. V. Seliverstov, S. Serikbolkyzy, D. A. Sinkevich, I. A. Solovieva, E. A. Stepina, E. I. Suchkova, D. S. Tokmin, A. A. Tolmacheva, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, I. A. Tuchin, S. T. Ualieva, N. D. Ulanova, O. V. Fedorishina, A. I. Khaltskaya, S. H. Hamidov, L. N. Khokhlova, L. N. Khusainova, V. V. Tsoma, T. I. Chudinovskikh, А. O. Shabelsky, A. O. Shvidko, E. A. Shishkina, S. S. Shostak-Krickii, S. Yu. Sherbakov, M. I. Yarigina

    Published 2025-04-01
    Get full text
    Article
  10. 4430
  11. 4431

    Transcriptomic insights into grain size development in naked barley (Hordeum vulgare L. var. nudum Hook. f): based on weighted gene co-expression network analysis by Yan Wang, Jiahao Zhou, Mingqi Yang, Youhua Yao, Yongmei Cui, Xin Li, Baojun Ding, Xiaohua Yao, Kunlun Wu

    Published 2025-08-01
    “…By integrating longitudinal three-dimensional phenotypic data with temporal expression profiles and applying weighted gene co-expression network analysis (WGCNA), we successfully identified gene modules that co-vary with morphological expansion. …”
    Get full text
    Article
  12. 4432

    Global Analysis of microRNA-like RNAs Reveals Differential Regulation of Pathogenicity and Development in <i>Fusarium oxysporum HS2</i> Causing Apple Replant Disease by Ruxin Zhao, Xiangmin Suo, Xianglong Meng, Yanan Wang, Pengbo Dai, Tongle Hu, Keqiang Cao, Shutong Wang, Bo Li

    Published 2024-12-01
    “…Notably, the highest number of differentially or specifically expressed milRNAs (DEmilRNAs/SEmilRNAs) was found during the spore stage, with <i>FoHS2</i>-milR19 targeting genes encoding histone acetyltransferases, methyltransferases, and cell wall-degrading enzymes (CWDEs), which are crucial for growth, development, and pathogenicity. We validated the reliability of our sRNA-seq data and the expression of target genes using stem-loop RT-PCR and qRT-PCR. …”
    Get full text
    Article
  13. 4433
  14. 4434

    Driving inclusive growth through financial systems and technology adoption: a global analysis of synergistic pathways using structural equation modeling by Ummar Faruk Saeed, Godfred Etse Klugah

    Published 2025-12-01
    “…This study investigates the mediating role of ICT access in the relationship between FD and inclusive growth (IG), using cross-sectional data from 132 countries for the year 2022. Grounded in Endogenous Growth Theory and the Resource-Based View, the analysis employs Partial Least Squares Structural Equation Modeling (PLS-SEM) to test three key hypotheses. …”
    Get full text
    Article
  15. 4435

    Development and validation of a machine learning-based predictive model for compassion fatigue in Chinese nursing interns: a cross-sectional study utilizing latent profile analysis by Lijuan Yi, Ting Shuai, Jingjing Zhou, Liang Cheng, Maria F. Jiménez-Herrera, Xu Tian

    Published 2024-12-01
    “…Results A three-profile model best fits the data, identifying low (55.73%), moderate (32.17%), and severe (12.10%) profiles for compassion fatigue. …”
    Get full text
    Article
  16. 4436

    Integrated analysis of miRNAs-mRNAs in skeletal muscle development revealed that novel-miR-766 affects myoblast differentiation and myofiber-type formation in sheep by Zhenzhen Gu, Zhenzhen Gu, WeiWei Duan, WeiWei Duan, Chenxi Liu, Chenxi Liu, Chenxi Liu, Wenrong Li, Wenrong Li, Wenrong Li, Bin Han, Bin Han, Bin Han, Mingjun Liu, Mingjun Liu, Mingjun Liu, Mingjun Liu

    Published 2025-07-01
    “…The functions of key miRNAs and target genes were determined by qRT-PCR, Western blot, dual-luciferase reporter gene assay, and Immunofluorescence staining.ResultsA total of 284 differentially expressed miRNAs (DE-miRNAs) were screened by comparing the transcriptome data across all 11 periods. DE-miRNAs were divided into two developmental stages (stage A and stage B) based on heat map clustering analysis. …”
    Get full text
    Article
  17. 4437
  18. 4438

    Analysis of Differences Between Groups of Locomotive Crew Drivers With Different Degrees of Ability to Arbitrarily Regulate Their Functional State by N. V. Shcherbina

    Published 2022-04-01
    “…For the analysis, we used the data of psychophysiological examination using the UPDK-MK complex for professional psychophysiological examination and selection of railway workers (Neurokom, Russia) and data obtained by the method of functional biocontrol with biofeedback (NeuroDog, Neurokom, Russia). …”
    Get full text
    Article
  19. 4439

    Estimating Spatiotemporal Dynamics of Carbon Storage in <i>Roinia pseudoacacia</i> Plantations in the Caijiachuan Watershed Using Sample Plots and Uncrewed Aerial Vehicle-Borne Las... by Yawei Hu, Ruoxiu Sun, Miaomiao He, Jiongchang Zhao, Yang Li, Shengze Huang, Jianjun Zhang

    Published 2025-04-01
    “…The findings provide valuable data support for density management and high-quality development of <i>R. pseudoacacia</i> plantations in the Caijiachuan watershed and present an efficient approach for precise forest carbon sink accounting.…”
    Get full text
    Article
  20. 4440

    Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis by Manar Alfreihat, Omar Saad Almousa, Yahya Tashtoush, Anas AlSobeh, Khalid Mansour, Hazem Migdady

    Published 2024-01-01
    “…Recently, given the rise of types of social media networks, the analysis of sentiment and opinions in textual data has gained significant importance. …”
    Get full text
    Article