Showing 4,021 - 4,040 results of 56,754 for search 'data developing analysis', query time: 0.48s Refine Results
  1. 4021

    Antimicrobial data set and occurrence of acute kidney injury in patients admitted to a hospital in Western Pará, BrazilMendeley Data by Hiago Sousa Pinheiro, Camila Castilho Moraes, Géssica Aleane Moraes Esquerdo, Elenn Suzany Pereira Aranha, Luige Pinho Moraes, Tânia Mara Pires Moraes, Waldiney Pires Moraes

    Published 2025-06-01
    “…A prospective and observational cohort was carried out, whose outcome of interest is the occurrence of AKI in patients admitted to the hospital between October 2018 and January 2019. The data were recorded and stored in a database, then descriptive analysis was performed in the GraphPad Prism 6.0 program. …”
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  2. 4022
  3. 4023
  4. 4024

    Optimizing of Universal DEA Model with Multi-Level Integration under Neutrosophic Environment by Hamiden Abd El- Wahed Khalifa, Loay Alkhalifa, Sultan S. Alodhaibi, Basma E. El- Demerdash

    Published 2025-06-01
    “…This research introduces a comprehensive Universal Data Envelopment Analysis (DEA) model to handle real-world problems fraught with uncertainty of every operational facet. …”
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  5. 4025
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  8. 4028

    Developing an intensive reading material for EFL students: A final product by Pratnyawati Nuridi Suwarso, Muhammad Dzulfiqar Praseno

    Published 2022-02-01
    “…Additionally, the content of the product is based on the syllabus and the Outcome Based Education (OBE) curriculum. The researchers develop 11 units of Intensive Reading material based on the previous needs analysis data. …”
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  9. 4029

    Evaluating the role of training data origin for country-scale cropland mapping in data-scarce regions: A case study of Nigeria by Joaquin Gajardo, Michele Volpi, Daniel Onwude, Thijs Defraeye

    Published 2025-08-01
    “…A sensitivity analysis revealed that Sentinel-1, climate, and topographic data were particularly important, as their removal reduced accuracy by up to 0.154 and F1-score by 0.593. …”
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  10. 4030

    Developing and validating career sustainability scale: sample of Turkish university students by Osman Söner, Hazel Duru

    Published 2025-08-01
    “…The scale development process included exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) to assess structural validity. …”
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  11. 4031

    Developing an Institutional AI Digital Assistant in an Age of Industry 5.0 by Bart Rienties, Thomas Ullmann, Felipe Tessarolo, Joseph Kwarteng, John Domingue, Tim Coughlan, Emily Coughlan, Duygu Bektik

    Published 2025-06-01
    “…Therefore, using the Technology Acceptance Model (TAM) and following a Design-Based Research (DBR) approach, we explored the perspectives and experiences of a beta-test of an institutionally developed AIDA (i-AIDA) with 18 UK students using multiple methods and data sources (including pre-post-test, interviews, think-aloud, and prompt analysis). …”
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  12. 4032

    Analysis of SMN protein in umbilical cord blood and postnatal peripheral blood of neonates with SMA: a rationale for prompt treatment initiation to prevent SMA development by Noriko Otsuki, Tamaki Kato, Mamoru Yokomura, Mari Urano, Mari Matsuo, Emiko Kobayashi, Kazuhiro Haginoya, Hiroyuki Awano, Yasuhiro Takeshima, Toshio Saito, Kayoko Saito

    Published 2025-02-01
    “…Conclusions This study suggests that the status of the motor neuron pool in the spinal cord can be presumed by cord blood SMN-spot+ cells and that SMN protein depletion determines the timing of disease onset. As the SMN spot analysis values tended to decrease with time after birth, they may eventually lead to the development of SMA. …”
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  13. 4033
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  15. 4035

    Developing Preservice Teachers' Design Thinking Mindset Using Interactive Technology by Areej ElSayary

    Published 2022-04-01
    “…A quantitative study using exploratory and confirmatory factor analysis was used. An online survey was adopted to collect the quantitative data after the semester was ended. …”
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  16. 4036

    Regional-Scale Energy Modelling for Developing Strategies to Achieve Climate Neutrality by Janusz Zyśk, Artur Wyrwa, Maciej Raczyński, Marcin Pluta, Wojciech Suwała

    Published 2025-04-01
    “…In this work, complex energy and greenhouse gas emissions analysis on a regional scale was presented. In the framework of analysis, the 3E (Energy–Economy–Environment) class optimisation model was developed. …”
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  17. 4037
  18. 4038

    Biochemical and Transcriptomic Analysis Reveals Low Temperature-Driven Oxidative Stress in Pupal <i>Apis mellifera</i> Neural System by Xiangjie Zhu, Mingjie Cao, Chenyang Li, Chenyu Zhu, Han Li, Yuanmingyue Tian, Jiaqi Shang, Jiaqi Sun, Bingfeng Zhou, Xianda Wu, Shujing Zhou, Xinjian Xu

    Published 2025-03-01
    “…The levels of GSH in the pupal brain decreased after 24 h and 48 h of exposure to low temperatures; there were also reduced activities of SOD and CAT enzymes following 48 h of low-temperature treatment compared to the control group. Furthermore, analysis of transcriptome data post-24 h and -48 h low-temperature stress revealed the suppression of the glutathione metabolism and peroxisome pathways in pupal brains. …”
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  19. 4039

    Designing the Fundamentals and Prerequisites Model for Developing International Markets in ICT Industry by Hossein Tehrani, َAsadollah Kord Naeij, hamid khodadad, Asghar Moshabbaki Esfahani

    Published 2017-12-01
    “…With regard to the needs of Iran for expansion of foreign markets, in this research, developing a model concerning fundamentals and prerequisites for developing international markets in ICT industry was sought. …”
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  20. 4040

    Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis by Bo Fan, Luxin Zhang, Hepeng Cui, Shanshan Bai, Haifeng Gao, Shengxiang Xiang, Yuchao Wang, Zhuwei Song, Jiaqiang Chen, Guanghai Yu, Jianbo Wang, Liang Wang, Zhiyu Liu

    Published 2025-06-01
    “…Our study aimed to assess the predictive risk factors for UR, to develop and validate an easy-to-use predictive tool of UR in our region based on machine learning algorithms and to update the meta-analysis of risk factors for UR in combination with our results to improve its accuracy and reliability. …”
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