Publications by authors named "H S Varol"

Microvascular inflammation (MVI) in kidney transplant biopsies is mainly associated with antibody-mediated rejection (AMR), sparking debate within the Banff Classification of Renal Allograft Pathology regarding its exclusivity. This study reviewed the literature on MVI in T cell-mediated rejection (TCMR) and analyzed MVI in our transplant population. We searched English publications in MEDLINE, Embase, Web of Science, Cochrane, and Google Scholar until June 2024, focusing on glomerulitis (g), peritubular capillaritis (ptc), or MVI in kidney transplant biopsies classified as TCMR.

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Background: Although large language models like ChatGPT-4 have demonstrated competency in English, their performance for minority groups speaking underrepresented languages, as well as their ability to adapt to specific sociocultural nuances and regional cuisines, such as those in Central Asia (for example, Kazakhstan), still requires further investigation.

Objectives: To evaluate and compare the effectiveness of the ChatGPT-4 system in providing personalized, evidence-based nutritional recommendations in English, Kazakh, and Russian in Central Asia.

Methods: This study was conducted from 15 May to 31 August, 2023.

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The construction industry significantly impacts the environment through natural resource depletion and energy consumption, leading to environmental degradation. Circular Economy (CE) material efficiency strategies-such as material reuse, design for disassembly, prefabrication, and recycling-offer promising solutions for reducing resource consumption and waste. This paper explores stakeholders' perspectives on the costs and benefits of implementing CE material efficiency strategies in the construction industry, using the 3-R (Reduce, Reuse, Recycle) framework.

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Background: The aim of this study is to look into the clinical and biochemical outcomes of DK supplementation in addition to nonsurgical periodontal treatment (NSPT) for patients suffering from diabetes mellitus (DM) and periodontitis.

Methods: Thirty-eight participants with DM and periodontitis were randomized into two different groups. The test group provided NSPT with DK whereas the control group received NSPT with placebo.

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Accurate face detection and subsequent localization of facial landmarks are mandatory steps in many computer vision applications, such as emotion recognition, age estimation, and gender identification. Thanks to advancements in deep learning, numerous facial applications have been developed for human faces. However, most have to employ multiple models to accomplish several tasks simultaneously.

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