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  1. 3921

    ICT Usage and Implementation of Competence-Based Curriculum in Selected Secondary Schools in Kabale Municipality. by Mugabe, Samuel

    Published 2023
    “…Qualitative data was analyzed using thematic analysis where data was arranged into codes and themes. Findings indicate that the Level of ICT use that the level is relatively high. …”
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    Thesis
  2. 3922

    Influence of Social Capital on Small and Medium Enterprises Performance in Wakiso District, Uganda. by Mbowa, Henry Stanley, Businge, Mbabazi Phelix, Ssemaluulu, Paul, Eton, Marus

    Published 2023
    “…Data were edited, cleaned, coded, and entered into MS Excel to generate frequencies and graphs. …”
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    Article
  3. 3923

    Performance Appraisal and Employee Productivity in Organizations: A Case Study of Kabale District Local Government. by Atuheire, Nancy

    Published 2024
    “…Collected data was processed, coded, and analyzed using Excel, a Microsoft statistical package, with results presented in tabular format. …”
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    Thesis
  4. 3924

    Effects of Branding on Customer Loyalty in Hotels: A Case Study of Jevine Hotel Kabusu. by Kyarisiima, Pamela

    Published 2024
    “…Data collected was edited, coded, entered into the computer, and analyzed with Excel, a Microsoft statistical package, the results were presented in tables. …”
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    Thesis
  5. 3925

    Impact of Accommodation Facilities on Tourism Development in Kabale District. by Ashaba, Praise

    Published 2024
    “…Data collected was edited, coded, entered into the computer, and analyzed with Excel, a Microsoft statistical package, the results were presented in tables. …”
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    Thesis
  6. 3926

    Motivation and Employee Performance in Hospital in Uganda: A Case of Kitgum General Hospital in Kitgum District. by Anenocan, Monica Oroma

    Published 2024
    “…Qualitative data was gathered through interviews, coded, and organized according to the study's objectives. …”
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    Thesis
  7. 3927

    Assessment of the Effects of Local Community Activities on Forest Resources on Echuya Central Forest Reserve in Muko Sub-County Rubanda District Uganda. by Akatukunda, Rogers

    Published 2024
    “…The collected data were edited, coded, entered into a computer, and analyzed using Microsoft Excel. …”
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    Thesis
  8. 3928

    School feeding program and students Performance: A case Study of Selected Primary Schools in North “A” District, Zanzibar. by Suleiman Hamad, Halima

    Published 2020
    “…The research used both simple random and purpose sampling techniques in identifying the sample population. the methods that were used in data collection included questionnaire, observation and interview, data collected was edited, coded, entered into computer and analyzed with excel, a Microsoft statistical package, the results were presented in tables, basing on results from the study, from objective one above, it was found out that school feeding program increase enrolment and attendance. from the research question two it was found out as indicated by the respondents from selected primary schools in north “A” Zanzibar that, too few text books and insufficient instructional which forced many children , especially girls to drop out early in schools. …”
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    Thesis
  9. 3929

    Bridge Employment Model of Qualified Employees in Iran's Public Organizations by Seyedeh Sanaz Sadafi Mousavi, Mir ali Syed nagavi, Seyed Mehdi Alvani, Alireza Koushki Jahromi

    Published 2024-12-01
    “…After reviewing and analyzing the obtained interviews, 186 initial codes were obtained, of which 76 abstract concepts, 22 subcategories, and 15 main categories were obtained. …”
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    Article
  10. 3930

    <i>shp-2</i> gene knockout upregulates CAR-driven cytotoxicity of YT NK cells by V. G. Subrakova, S. V. Kulemzin, T. N. Belovezhets, A. N. Chikaev, N. A. Chikaev, O. A. Koval, A. A. Gorchakov, A. V. Taranin

    Published 2020-03-01
    “…Here, we took advantage of the CRISPR/Cas9 system to introduce mutations in the coding sequence of the shp-2 (PTPN11) gene encoding the signaling molecule of inhibitory pathways in NK cells. …”
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    Article
  11. 3931

    Transformative effects of ChatGPT on modern education: Emerging Era of AI Chatbots by Sukhpal Singh Gill, Minxian Xu, Panos Patros, Huaming Wu, Rupinder Kaur, Kamalpreet Kaur, Stephanie Fuller, Manmeet Singh, Priyansh Arora, Ajith Kumar Parlikad, Vlado Stankovski, Ajith Abraham, Soumya K. Ghosh, Hanan Lutfiyya, Salil S. Kanhere, Rami Bahsoon, Omer Rana, Schahram Dustdar, Rizos Sakellariou, Steve Uhlig, Rajkumar Buyya

    Published 2024-01-01
    “…Our preliminary evaluation shows that ChatGPT perform differently in different subject areas including finance, coding, maths, and general public queries. While ChatGPT has the ability to help educators by creating instructional content, offering suggestions and acting as an online educator to learners by answering questions, transforming education through smartphones and IoT gadgets, and promoting group work, there are clear drawbacks in its use, such as the possibility of producing inaccurate or false data and circumventing duplicate content (plagiarism) detectors where originality is essential. …”
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    Article
  12. 3932

    Analysis of panel physician inquiries to U.S. TB Centers of Excellence, 2018–2022 by E. Leithead IV, S. Subramanian, K. Pimenta, N.D. Goswami, A. Patrawalla, A. Lardizabal, C. Haley, L. Chen, L. Armitige, B. Seaworth, B. Sylvester, R. Bhavaraju

    Published 2024-11-01
    “…METHODS: TB-related queries in the COE MCD from January 1, 2018, to December 31, 2022, were analyzed using a descriptive coding scheme developed through inductive analysis, allowing multiple themes per entry. …”
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    Article
  13. 3933

    Invasive and Ultrasound Based Monitoring of the Intracranial Pressure in an Experimental Model of Epidural Hematoma Progressing towards Brain Tamponade on Rabbits by Konstantinos Kasapas, Angela Diamantopoulou, Nicolaos Pentilas, Apostolos Papalois, Emmanuel Douzinas, Gregorios Kouraklis, Michel Slama, Abdullah Sulieman Terkawi, Michael Blaivas, Ashot Ernest Sargsyan, Dimitrios Karakitsos

    Published 2014-01-01
    “…An experimental epidural hematoma model was used to study the relation of ultrasound indices, namely, transcranial color-coded-Doppler (TCCD) derived pulsatility index (PI), optic nerve sheath diameter (ONSD), and pupil constriction velocity (V) which was derived from a consensual sonographic pupillary light reflex (PLR) test with invasive intracranial pressure (ICP) measurements. …”
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    Article
  14. 3934

    Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

    Published 2025-01-01
    “…Block-based programming languages such as SCRATCH and ALICE permit the development of programming competencies without text coding and syntax restrictions to solve that issue. …”
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    Article
  15. 3935

    A novel proficiency test to assess the animal diagnostic investigation process in identifying an unknown toxicant by Andriy Tkachenko, Yang Chen, Marissa Petrey, Scott Fritz, Tim Walsh, David Rotstein, Megan R. Miller, Bruce Williams, Michael Dark, Matthew Kmet, Ravinder Reddy, Gregory Tyson, Sarah M. Nemser

    Published 2025-06-01
    “…In a typical chemistry PT, blind-coded samples are sent to participants for analysis of specific chemical agents, and results are compared to a pre-determined key (e.g., expected concentrations) to assess proficiency. …”
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    Article
  16. 3936

    Molecular Characterization and Evolution Analysis of Two Forms of TLR5 and TLR13 Genes Base on Larimichthys crocea Genome Data by Lihua Jiang, Liyi Pei, Ping Wang, Liqin Liu, Gong Li, Binjian Liu, Zhenming Lǚ, Tabata Hiromasa, Hao Pan, Atsushi Ogura

    Published 2020-01-01
    “…Here, the full-length coding sequence (CDS), protein structure, and immune response and subcellular localization of TLR5 (TLR5S) and TLR13 were characterized in large yellow croaker (Larimichthys crocea). …”
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    Article
  17. 3937

    Complete Mitochondrial Genome of <i>Niphon spinosus</i> (Perciformes: Niphonidae): Genome Characterization and Phylogenetic Analysis by Maheshkumar Prakash Patil, Jong-Oh Kim, Seung Hyun Yoo, Jiyoung Shin, Ji-Young Yang, Kyunghoi Kim, Gun-Do Kim

    Published 2025-01-01
    “…The typical set of 13 protein-coding genes (PCGs), 2 rRNA genes, 22 tRNA genes, and one control region (D-loop) are included in the mitochondrial genome. …”
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    Article
  18. 3938

    Genome Sequencing of a Mung Bean Plant Growth Promoting Strain of P. aeruginosa with Biocontrol Ability by Devaraj Illakkiam, Manoharan Shankar, Paramasivan Ponraj, Jeyaprakash Rajendhran, Paramasamy Gunasekaran

    Published 2014-01-01
    “…The draft genome of PGPR2 encoded 6803 open reading frames, of which 5314 were genes with predicted functions, 1489 were genes of known functions, and 80 were RNA-coding genes. Strain specific and core genes of P. aeruginosa PGPR2 that are relevant to rhizospheric habitat were identified by pangenome analysis. …”
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    Article
  19. 3939

    Risk of second primary malignancies among survivors of cutaneous melanoma: A nationwide population-based study in the Republic of Korea by Joon Min Jung, Do Hyung Kim, Ye-Jee Kim, Ik Jun Moon, Woo Jin Lee, Sung Eun Chang, Mi Woo Lee, Chong Hyun Won

    Published 2025-01-01
    “…Inherent uncertainty related to diagnostic codes may exist. The risk of overall and specific SPMs was significantly elevated in Asian melanoma survivors, particularly among those with invasive melanoma. …”
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    Article
  20. 3940

    Piloting an automated query and scoring system to facilitate APDS patient identification from health systems by Amy M. FitzPatrick, Aaron T. Chin, Sharon Nirenberg, Charlotte Cunningham-Rundles, Keith Sacco, Jesse Perlmutter, Joseph F. Dasso, Athanasios Tsalatsanis, Jay Maru, Jessica Creech, Jolan E. Walter, Nicholas Hartog, Neema Izadi, Mandy Palmucci, Manish J. Butte, Klaus Loewy, Anurag Relan, Nicholas L. Rider

    Published 2025-01-01
    “…We sought to demonstrate that querying electronic health record (EHR) systems by aggregating disparate signs into a risk score can identify these patients.MethodsWe developed a structured query language (SQL) script using literature-validated APDS-associated clinical concepts mapped to ICD-10-CM codes. We ran the query across EHRs from 7 large, US-based medical centers encompassing approximately 17 million patients. …”
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    Article