Showing 3,521 - 3,540 results of 13,271 for search 'Data aiming techniques', query time: 0.22s Refine Results
  1. 3521

    THE IMPACT OF FINANCIAL MANAGEMENT PERFORMANCE ON THE SUSTAINABLE DEVELOPMENT OF AGRICULTURAL ENTERPRISES IN THE REPUBLIC OF MOLDOVA by Dmitrii TRACI, Aurelia LITVIN, Anatol RACUL

    Published 2019-01-01
    “…Data Envelopment Analysis it was defined as the rating of the economic efficiency determined on the basis of financial indicators of the performance management. …”
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    Article
  2. 3522

    Transformation of the sanctity marriage amidst high divorce cases in Denpasar district court by I Wayan Agus Vijayantera, I Gusti Bagus Hengki, I Putu Lantika Oka Permadhi

    Published 2024-06-01
    “…The collected data is then analyzed using qualitative techniques to provide sound arguments in analyzing the research issues. …”
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    Article
  3. 3523

    Comparative Meta-Analysis of Clinical Outcomes in Chronic Achilles Ruptures: Isolated FHL Transfer, Hamstring Transfer, and Turndown Flaps by Bedri Karaismailoglu MD, FEBOT, Samir Ghandour MD, Joris R.H. Hendriks MS, Mani Eftekhari, Ehab Eltouny MD, Gregory R. Waryasz MD, Daniel Guss MD, MBA, John Y. Kwon MD, Soheil Ashkani-Esfahani MD, Lorena Bejarano-Pineda MD, Christopher W. DiGiovanni MD

    Published 2024-12-01
    “…Despite the extensive use of patient-reported outcome measurements (PROMs) such as AOFAS, ATRS, and VISA-A, there is a lack of literature concerning comparative analyses of surgical options for CATRs. This study aims to describe the clinical and functional outcomes with each technique, and to providevaluable insights for evidence-based decision-making in the management of this pathology. …”
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    Article
  4. 3524
  5. 3525

    The significance of green innovation efficiency of green low-carbon circular economy for sustainable cities in western China—Empirical evidence from Chongqing municipality by Panfeng Li

    Published 2025-07-01
    “…The entropy weight-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model was employed to calculate Chongqing's GLCCE composite index. …”
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    Article
  6. 3526

    Integrated Analysis of Optimization and Settlement Characteristics in Hybrid Pile Systems for Reused Foundations by Jingsen Niu, Zheng Yang, Siyu Yin, Shengzhao Cheng

    Published 2025-03-01
    “…The study explores the interaction effects between new and existing piles, aiming to optimize the performance of pile reuse.…”
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  7. 3527

    Nanoscale Cross-Sectional Characterization of Thin Layers in Material Assemblies by Frédéric Addiego, Rutuja Bhusari, Julien Bardon, Sascha Scholzen, Zainhia Kaidi

    Published 2025-05-01
    “…Subsequently, it is important to optimize sample preparation regarding shape, dimensions, and surface roughness, while minimizing artifacts. Combining techniques that offer complementary structural information—such as morphological, chemical, and nanomechanical data—is recommended to gain a comprehensive understanding of the nano-layer’s structure and properties. …”
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  8. 3528

    Changes in foot pressure on the ground during mae-geri kekomi (front kick) in karate athlete - case study by W. Cynarski, J. Wąsik, D. Szymczyk, A. Vences de Brito

    Published 2018-02-01
    “…Background and Study Aim : Biomechanical analysis of martial art techniques are objective and quantitative method, which may be useful in training practice for the purpose of improving these techniques as well as monitoring and enhancing athletes performance. …”
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    Article
  9. 3529

    FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

    Published 2024-06-01
    “…Results. A study aimed at tackling the challenges encountered in teaching actuarial mathematics topics, such as life expectancy and mortality tables, revealed that incorporating a balanced blend of theoretical concepts and hands-on applications, coupled with illustrating mathematical models through real-world examples and reinforcing diverse computational techniques, constitutes a cornerstone of successful training for aspiring actuaries. …”
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    Article
  10. 3530

    FEATURES OF USING VBA IN TEACHING ACTUARIAL MATHEMATICS by Volodymyr Zubchenko, Rostyslav Yamnenko

    Published 2024-06-01
    “…Results. A study aimed at tackling the challenges encountered in teaching actuarial mathematics topics, such as life expectancy and mortality tables, revealed that incorporating a balanced blend of theoretical concepts and hands-on applications, coupled with illustrating mathematical models through real-world examples and reinforcing diverse computational techniques, constitutes a cornerstone of successful training for aspiring actuaries. …”
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    Article
  11. 3531

    Conclusions and recommendations by Ioannou Anastasios

    Published 2018-12-01
    “…The second aim of this study was to compare the results of both PMV and adaptive models with data obtained with the use of a sensor rich smart environment. …”
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    Article
  12. 3532

    Urgensi Penilaian Kesehatan Bank dan Tax Avoidance pada Kinerja Keuangan Perbankan Syariah by Wahyu Tri Susilowati, Baldric Siregar

    Published 2022-05-01
    “…This study uses Commercial Islamic Banks registered with the Financial Services Authority (OJK) which releases financial statements for the 2015-2020 period with a total of 72 data. This study uses multiple linear regression analysis techniques. …”
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  13. 3533

    Implementasi Kebijakan Kurikulum dalam Peningkatan Mutu Lulusan di MIN se-Kota Sibolga by Muhammad Rifai Harahap, Mhd. Syahdan Lubis, Syafaruddin Syafaruddin, Makmur Syukri

    Published 2022-06-01
    “…Data analysis used the Miles and Huberman technique, which included data collection, data reduction, and data conclusions. …”
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    Article
  14. 3534

    Actualization of Muhammad Natsir’s Islamic Educational Ideas the Transformation of Learning at Pesantren Persatuan Islam (PERSIS) by Insani Nurul Imani, Syahidin Syahidin, Cucu Surahman

    Published 2025-07-01
    “…Data analysis techniques used the Miles and Huberman model, as well as source and technique triangulation to maintain data validity. …”
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  15. 3535

    Diabetic Patients’ Perception of Diabetic Foot Ulcers: A Qualitative Study by Leila Mardanian Dehkordi, Raheleh Javanbakhtian

    Published 2024-09-01
    “…The participants were 15 patients with diabetes, who visited the healthcare centers in Shahrekord, Iran selected using purposive sampling. Data were collected through face-to-face and semi-structured interviews with the participants until data saturation. …”
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  16. 3536

    Improving Reading Comprehension Skills Through a Whole Language Approach in Fifth Grade Elementary School Students by Siti Aisyah, Herlina Usman, Nidya Chandra Muji Utami

    Published 2024-06-01
    “…This data analysis technique uses two techniques: qualitative data analysis and descriptive static data analysis. …”
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  17. 3537
  18. 3538

    Implementation of community-driven initiative program in strengthening discipline character in elementary school by Putri Sulistia Zulfasari, Hanum Hanifa Sukma

    Published 2025-01-01
    “…The  research subjects consist of third-grade teachers and students. Data collection techniques include observation, in-depth interviews, and source triangulation to ensure data validity. …”
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  19. 3539

    IDENTIFICATION OF TRADITIONAL BALINESE FOOD LEXICON IN MENYALI VILLAGE: AN ETHNOLINGUISTIC STUDY by I Ketut Trika Adi Ana, I Gede Budasi

    Published 2025-05-01
    “…Five traditional figures in Menyali Village were selected using the snowballing technique involved in this study. The collected data were analyzed qualitatively using an interactive data analysis model, carried out in three stages: data condensation, data display, and conclusion drawing/verification. …”
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  20. 3540

    Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging. by Erin B Bjørkeli, Knut Johannessen, Jonn Terje Geitung, Anna Karlberg, Live Eikenes, Morteza Esmaeili

    Published 2025-04-01
    “…Our proposed model, which utilizes deep neural networks, is specifically designed for the analysis and classification of spectral time series data. Trained on a dataset that includes both synthetic and real MRSI data from brain tumor patients, the model aims to distinguish MRSI voxels that indicate pathological conditions from healthy ones. …”
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