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  1. 2081

    Altered body as a source of interactional problems in the family of individuals with neurofibromatosis type 1 - A polish study. by Katarzyna Kowal, Michał Skrzypek

    Published 2024-01-01
    “…<h4>Methods</h4>A qualitative study was performed using individual in-depth interviews with 93 individuals with NF1 (median age: 36.69; range: 18 to 64; 26% males).…”
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  2. 2082
  3. 2083
  4. 2084

    ONLINE APPLICATION BASED ON KING INTERACTION SYSTEM THEORY TO INCREASE TREATMENT ADHERENCE AND CLINICAL INDICATORS IN TB CHILDREN by Ethyca Sari, Tri Nur Kristina, Untung Sujianto, Suhartono, Hastaning Sakti

    Published 2024-08-01
    “…Methods: This is a quasi-experimental study to educate 55 TB school-age children using a validated online application based on King's interaction system theory, compared with the conventional method in 55 TB children as the control group. …”
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  5. 2085
  6. 2086

    Experimental and numerical study of the interaction between a shaped charge jet and a single ERA moving plate by Nicolas Reboul, Ashwin Chinnayya, Frédéric Paintendre, Simon Dalle Piagge, Vincent Jaulin, Jérôme Limido, Anthony Collé, Fabien Rondot

    Published 2025-08-01
    “…An analysis of the interaction mechanisms between a Shaped Charge Jet (SCJ) and a single Moving Plate (MP) is proposed in this article using both experimental and numerical approaches. …”
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  7. 2087
  8. 2088

    RNASEL and MIR146A SNP-SNP interaction as a susceptibility factor for non-melanoma skin cancer. by Shohreh F Farzan, Margaret R Karagas, Brock C Christensen, Zhongze Li, Jacquelyn K Kuriger, Heather H Nelson, New Hampshire Skin Cancer Study

    Published 2014-01-01
    “…We investigated associations between common variants in two key regulators, MIR146A and RNASEL, and their relation to NMSCs. Using a large population-based case-control study of basal cell (BCC) and squamous cell carcinoma (SCC), we investigated the impact of MIR146A SNP rs2910164 on cancer risk, and interaction with a SNP in one of its putative targets (RNASEL, rs486907). …”
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  9. 2089

    Landscape‐Wide Metabarcoding Shows Interactions Among the Gut Microbiome and Pollen Diversity in the Invasive Bumblebee, Bombus terrestris by Sabrina Haque, Hasinika K. A. H. Gamage, Cecilia Kardum Hjort, Fleur Ponton, Francisco Encinas‐Viso, Ian T. Paulsen, Rachael Y. Dudaniec

    Published 2025-07-01
    “…B. terrestris female workers were sampled from 19 sites across Tasmania, for which environmental data for seven variables were extracted. Using 16S rRNA and ITS2 metabarcoding on gut samples and foraged pollen, respectively, we examine how the gut microbiota of B. terrestris is influenced by pollen diversity, environmental variables and their interactions. …”
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  10. 2090

    Two-Stream Modality-Based Deep Learning Approach for Enhanced Two-Person Human Interaction Recognition in Videos by Hemel Sharker Akash, Md Abdur Rahim, Abu Saleh Musa Miah, Hyoun-Sup Lee, Si-Woong Jang, Jungpil Shin

    Published 2024-11-01
    “…Here, SAM was utilised for segmented mesh generation, and ImageNet was used for feature extraction from images or meshes, focusing on extracting relevant features from sequential image data. …”
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  11. 2091
  12. 2092

    Screen-Printed PVDF Piezoelectric Pressure Transducer for Unsteadiness Study of Oblique Shock Wave Boundary Layer Interaction by Bei Wang, Cosimo Corsi, Thomas Weiland, Zhenyu Wang, Thomas Grund, Olaf Pohl, Johannes Max Bienia, Julien Weiss, Ha Duong Ngo

    Published 2024-11-01
    “…The primary objective is to optimize low-frequency pressure fluctuation detection, addressing SWBLI’s need for accurate, real-time measurements of low-frequency unsteadiness. Fabricated using a double-sided screen-printing technique, this sensor array is low-cost, flexible, and provides stable, high-sensitivity data. …”
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  13. 2093

    A physiologically‐based pharmacokinetic/pharmacodynamic modeling approach for drug–drug‐gene interaction evaluation of S‐warfarin with fluconazole by Kuo Geng, Chaozhuang Shen, Xiaohu Wang, Xingwen Wang, Wenxin Shao, Wenhui Wang, Tao Chen, Hua Sun, Haitang Xie

    Published 2024-05-01
    “…Of the 34 S‐warfarin plasma concentration‐time profiles used, 96% predicted plasma concentrations within twofold range compared to observed data. …”
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  14. 2094
  15. 2095

    Integration of project based learning models with interactive multimedia: Innovative efforts to improve student breaststroke swimming skills by Mashud, Syamsul Arifin, Advendi Kristiyandaru, Y Touvan Juni Samodra, I Gusti Putu Ngurah Adi Santika, Didi Suryadi

    Published 2023-06-01
    “…Furthermore, the analysis of the data in this study through the stages of normality test, homogeneity test, and hypothesis testing. …”
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  16. 2096

    EPI-DynFusion: enhancer-promoter interaction prediction model based on sequence features and dynamic fusion mechanisms by Ao Zhang, Jianhua Jia, Mingwei Sun, Xin Wei

    Published 2025-07-01
    “…IntroductionEnhancer–promoter interactions (EPIs) play a vital role in the regulation of gene expression. …”
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  17. 2097
  18. 2098

    A genome-wide study on gene–nutrient interactions for hyperuricemia in a large Korean cohort (KoGES) by Ehn-Young Kim, Ja-Eun Choi, Ji-Won Lee, Jae-Min Park, Youhyun Song, Yu-Jin Kwon, Kyung-Won Hong

    Published 2025-08-01
    “…Abstract This study aimed to identify novel genetic variants associated with hyperuricemia risk across multiple nutrients by assessing significant gene–nutrient interactions using large-scale genome-wide association study (GWAS) data in the Korean population. …”
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  19. 2099
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