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  1. 52901

    The Burden of Obesity in Saudi Arabia: A Real-World Cost-of-Illness Study by Nagi MA, Almalki ZS, Thavorncharoensap M, Sangroongruangsri S, Turongkaravee S, Chaikledkaew U, Alqahtani AM, AlSharif LS, Alsubaihi IA, Alzarea AI, Alsultan MM

    Published 2025-03-01
    “…The annual cost of treatment for each obesity-attributable disease was obtained from the hospital records of one tertiary hospital in the KSA. Data on direct non-medical costs were obtained from the patient survey. …”
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  2. 52902
  3. 52903

    Establishment of genetic transformation system and initial report of transform BIO and bio gene in Petunia hybrida by LI Ying, LIU Jiyan, HU Jiangqin, CHEN Zhehao, HU Lingzhi, WANG Lilin

    Published 2013-01-01
    “…In 35S-BIO transgenic plants, certain blades had smaller size and became thinner than the wild-type and a few of them only had main veins left. Detailed data showed that leaf surface area and length-width ratio altered obviously.The ectopic and over-expression of LjBIO and Ljbio in P. hybrida revealed that this gene affected not only the size of plant and the symmetry of floral organs, but also influenced the development and morphology of leaf. …”
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  4. 52904
  5. 52905

    Experimental murine non-alcoholic steatohepatitis is associated with behavioural, cognitive, and peripheral neuronal dysfunction by V. A. Prikhodko, D. A. Orlyakhina, V. D. Petrova, V. E. Karev, D. Yu. Ivkin, S. M. Napalkova, S. V. Okovityi

    Published 2025-03-01
    “…NASH was also associated with a significant decrease in spontaneous alternation at 3 mo (p < 0.01), negative object disrimination at 2 mo (p < 0.05), and poorer memory retention in the Barnes maze (p < 0.05, p < 0.01) compared with Control. ENMG data analysis revealed significantly lower peak M-wave amplitudes (p < 0.01) and threshold currents (p < 0.05) in the gastrocnemius, and increased peak latency in the biceps in the NASH group (p < 0.05).Сonclusion. …”
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  6. 52906

    Integrating ultrasound and clinical risk factors to predict carotid plaque vulnerability in gout patients: a machine learning approach by Yabin Fang, Yabin Fang, Kaiyi Yang, Kaiyi Yang, Xinyu Gao, Xinyu Gao, Yiran Gong, Yiran Gong, Yaxin Deng, Xiang Xu, Xiang Xu, Jing Xu, Jing Xu, Lei Yan, Lei Yan, Jinshu Zeng, Jinshu Zeng, Shuqiang Chen

    Published 2025-06-01
    “…ObjectivesThis study aimed to identify independent risk factors for carotid plaque (CP) vulnerability in patients with gout and to develop a predictive model incorporating both gout-specific and cardiovascular factors.MethodThis study was designed as a retrospective cohort analysis that enrolled patients with newly diagnosed gout. …”
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  7. 52907

    Growing empathy through art therapy, life story, and relationships: experiential learning in adult day services by L. Blake Peeples, L. Blake Peeples, L. Blake Peeples, Benjamin C. Thompson, Benjamin C. Thompson, Jackie B. Tucker, Jackie B. Tucker, LaDerrick Smith, Amy Brown, Keisha D. Carden, Keisha D. Carden, Keisha D. Carden, Anne Halli-Tierney, Angel C. Duncan, Neelum T. Aggarwal, Jessica Y. Allen, Rebecca S. Allen, Rebecca S. Allen, Rebecca S. Allen, Daniel C. Potts, Daniel C. Potts, Daniel C. Potts

    Published 2024-12-01
    “…Analysis of BATL student journals supported and deepened understanding of these findings, with themes including attitude change, relationship building fostering existential awareness and self-development, art fostering social interactions, and perceived program effectiveness.DiscussionThe findings suggest that BATL strongly supports increased empathetic attitudes and decreased stigma of aging in psychology and pre-healthcare students. …”
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  8. 52908
  9. 52909

    Study on the complex relationship of tourism-economy-ecological environment in arid zones: the case of Xinjiang, China by Haijun Liu, Haijun Liu, Haijun Liu, Beizi Chen, Beizi Chen, Qianqian Xia, Qianqian Xia, Gulnigar Zabi, Gaofeng Li

    Published 2024-10-01
    “…The synergistic integration of tourism, the economy, and the ecological environment within a region is crucial for promoting its sustainable development. Tourism acts as a catalyst for green economic growth, yet varying levels of tourism development can intensify the strain on the ecological environment. …”
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  10. 52910

    Establishment and validation of a risk prediction model for adverse drug reactions in patients with coronary heart disease after taking statins: a retrospective study by Lixiang Zhang, Jiaoyu Cao, Xiaojuan Zhou

    Published 2025-07-01
    “…Logistic regression analysis was applied in the development cohort to identify independent risk factors for statin-induced ADR. …”
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  11. 52911

    Digitalisation of Professional Education: Prospects and Invisible Barriers by L. M. Andryukhina, N. O. Sadovnikova, S. N. Utkina, A. M. Mirzaahmedov

    Published 2020-04-01
    “…The methods of questionnaire-based survey, sociological analysis, statistical data-processing tools and Google Forms tools were used.Results and scientific novelty. …”
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  12. 52912

    AI‐Driven Applications in Clinical Pharmacology and Translational Science: Insights From the ASCPT 2024 AI Preconference by Mohamed H. Shahin, Prashant Desai, Nadia Terranova, Yuanfang Guan, Tomáš Helikar, Sebastian Lobentanzer, Qi Liu, James Lu, Subha Madhavan, Gary Mo, Flora T. Musuamba, Jagdeep T. Podichetty, Jie Shen, Lei Xie, Mathew Wiens, Cynthia J. Musante

    Published 2025-04-01
    “…The preconference also looked at the impact of large language models in biomedical research and how these tools are democratizing data analysis and empowering researchers. The application of explainable AI in predicting drug efficacy and safety, and the ethical considerations that should be applied when integrating AI into clinical and biomedical research were also touched upon. …”
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  13. 52913

    Food environments in the Pacific region and efforts to improve them: a scoping review by Sela Ki Folau Fusi, Clara Gómez-Donoso, Kathryn Backholer, Jennifer Browne, Megan Ferguson, Adrian J Cameron

    Published 2025-01-01
    “…Full-text screening was conducted before data were extracted from eligible studies. A narrative analysis was informed by an existing food environments framework. …”
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  14. 52914

    Implementation of Diagnostic Methods of Career Guidance in Computer Systems by Anna P. Sergushicheva

    Published 2025-07-01
    “…Based on these data, the initial population of professions is formed. …”
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  15. 52915

    Assessing climate-driven phenological responses of tomato crops under future climate change trajectories: A Central India perspective by Pashupati Nath Singh, Prashant K. Srivastava, Bhawana Sharma, R.K. Mall

    Published 2025-12-01
    “…Increased growing season temperatures and marginal reductions in Srad were observed to accelerate crop development, while altered rainfall patterns influenced spatial variability in production. …”
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  16. 52916

    Factors influencing parents’ food-purchasing decisions in the Pacific: a qualitative study in Tonga by Sela Ki Folau Fusi, Alessandro Crocetti, Adrian J. Cameron, Megan Ferguson, Kathryn Backholer, Jennifer Browne

    Published 2025-06-01
    “…Abstract Background An unhealthy diet is the leading preventable risk factor for the development of diet-related non-communicable diseases, and the food environment is considered a major determinant of dietary intake. …”
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  17. 52917

    Key informant perspectives of suicide prevention in Australia by Bridget Bassilios, David Dunt, Karolina Krysinska, Anna Machlin, Danielle Newton, Dianne Currier

    Published 2024-12-01
    “…Key themes mentioned as opportunities for improving suicide prevention efforts were: leveraging the current unprecedented awareness and desire for collaboration among multiple stakeholder groups; adopting wellness rather than crisis-driven models of care; including lived experience and co-design in all stages and aspects of policy planning, service development, and evaluation; and investing in data, research, and evaluation. …”
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  18. 52918

    Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

    Published 2024-05-01
    “…The current problem is the assessment and prediction of TIR for patients who use self-monitoring of blood glucose (SМBG) corresponding low CGM availability for the majority of diabetic patients.AIM: To develop a predictive model of TIR for patients with T1DM based on data of the experimental mobile application.MATERIALS AND METHODS: An analysis of 1253 professional CGM profiles of patients with T1DM was performed. …”
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  19. 52919

    Impact of human activities and building characteristics on indoor air quality in low-income urban settlement by Fathina Izmi Nugrahanti, Mochamad Donny Koerniawan, Dewi Larasti, Agustinus Adib Abadi, Müslüm Arıcı, Surjamanto Wonorahardjo

    Published 2025-07-01
    “… Introduction: Poor Indoor Air Quality (IAQ) in the growing number of low- income urban houses is closely linked to their unstructured neighbourhood development, poor building quality and unique community behaviour. …”
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  20. 52920

    Implementation of Patient Complaint Management Mechanisms for Quality Improvement in Maternal Health Services: Exploration of Provider Perspectives at Mkuranga District Hospital by August F, Nyamhanga T, Kakoko DC, Anaeli A, Mwangu MA

    Published 2025-07-01
    “…Despite the emphasis on feedback from patient concerns and the availability of a guide for patient concern management in Tanzania, there is a paucity of information on how well patients’ complaints are received, dealt with, and managed by district hospitals, especially those emerging from maternal, newborn, and child health services.Objective: This study aimed to assess providers’ perspectives on the implementation of Tanzania’s guidelines for managing patient concerns in service delivery.Methods: A qualitative approach was used for data collection, and content analysis was performed.Results: The findings underscore the challenges related to hospital infrastructure for receiving patients’ complaints, ie awareness and enthusiasm to use them, how complaints are dealt with, ie processing of the complaints, feedback mechanisms, ie learning from the complaints, integrating lessons learned from the complaints into service delivery, and quality improvement mechanisms in maternal health services. …”
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