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Development of Nanofiber Patch Formulation Containing Rutin Hydrate, In Vitro and In Vivo Evaluation
No full textWound healing is a dynamic and multifactorial process that can be significantly impaired by oxidative stress, microbial infection, and chronic systemic conditions, often resulting in delayed recovery and poor tissue regeneration. This study investigates the use of rutin hydrate, a bioactive flavonoid with antioxidant and collagen-promoting effects, in electrospun nanofiber dressings to enhance wound repair outcomes. Electrospinning technology was used to fabricate nanofibers from poly(vinyl alcohol) (PVA) and Eudragit L100, with optimized parameters determined via the Taguchi method. The nanofibers had average diameters of 258.371 nm (PVA) and 125.115 nm (Eudragit), with drug loading capacities of 78.735 ± 2.307 μg/mg per mass and 87.983 ± 2.055 μg/cm2 per area (PVA); 76.833 ± 2.238 μg/mg per mass and 85.807 ± 1.502 μg/cm2 per area (Eudragit). Characterization via SEM, FTIR, DSC, and NMR confirmed uniform, bead-free nanofibers with enhanced stability and controlled drug release. In vitro studies showed first-order drug release kinetics (Hixson-Crowell model), balancing burst release with sustained delivery. In vivo wound healing in rats demonstrated significantly faster recovery with rutin-loaded nanofibers (p < 0.0001 for F-PVA-Rutin and F-EUD-Rutin on day 3 and day 7). Histological analysis revealed reduced neutrophil infiltration, enhanced granulation tissue, and improved angiogenesis, confirming the therapeutic efficacy of rutin. These findings support the potential of rutin-loaded electrospun nanofiber dressings as an effective and scalable approach for promoting wound healing through localized, sustained drug delivery
Evaluation of research methodology generation by large language models in laryngology: a comparative analysis of ChatGPT-4.0 and Gemini 1.5 flash
No full textAbstractObjectivesThis study aimed to compare the ability of two major language models, ChatGPT-4.0 and Gemini 1.5 Flash, to establish a research methodology based on scientific publications in laryngology.MethodsWe screened 80 articles selected from five prestigious otolaryngology journals and included 60 articles with a methods section and statistical analysis. These were classified according to six research types: cell culture, animal experiments, prospective, retrospective, systematic review, and artificial intelligence. A total of 30 studies were analyzed, with five articles randomly selected from each group. For each article, both language models were asked to produce research methodologies, and the responses were evaluated by two independent raters.ResultsThere was no statistically significant difference between the mean scores of the models (p > 0.05). ChatGPT 4.0 had a higher mean score (5.17 ± 1.12), especially in the data collection and measurement-assessment category. The Gemini model showed relatively more balanced performance in the statistical analysis category. The weighted kappa values were between 0.54 and 0.71, indicating a moderate to high agreement between the raters. In the analysis by article type, Gemini’s performance in Q1 showed significant variation (p = 0.038).ConclusionLarge language models such as ChatGPT and Gemini provide similarly consistent results in establishing the methodology of scientific studies in laryngology. Both models can be considered supportive tools; however, expert supervision is needed, especially for complex constructs such as statistical analysis. This study makes original contributions to the usability of LLMs for study design in laryngology.</div
Needs for Psychosocial Support of Infertile Women: Examination of Social Media Posts by Netnography Method
No full textInfertility is a global health issue affecting millions of women physically and emotionally. Infertile women encounter obstacles in accessing health services and accurate information and often lack adequate support from health professionals. Consequently, they turn to online platforms for psychosocial support. This study aimed to analyze the content infertile women seek through social media to identify their psychosocial needs, using a netnographic design. The sample included 377 posts from an Instagram group with 7500 followers, functioning as a peer support platform. Data were analyzed using inductive thematic analysis. Posts were categorized under themes such as "infertility labyrinth,""need for clarity in the process,"and "seeking support in the process."Women expressed numerous concerns and sought information about all processes that should be covered in nursing care. They sought peer support to interpret test results, find hope, and share experiences. Although sharing information and experiences can offer peer support for women, potential risks, such as having test results misinterpreted and facing negative consequences from past experiences, exist. Their inquiries about the physical and psychological impacts of infertility in online communities highlighted gaps in nursing care. Thus, nursing care should incorporate elements that enhance autonomy and empowerment throughout the treatment process
Root coverage and patient-reported outcomes of de-epithelialized gingival graft with and without leukocyte platelet-rich fibrin in multiple recession defects: a split-mouth randomized trial
No full textLATENT FINGERMARKS AS AN EMERGING ANALYTICAL MATRIX FOR THE DETECTIONOF PSYCHOACTIVE SUBSTANCES
No full textEffect of different kinematics and perforation diameter on integrated electronic apex locator accuracy in detecting root canal perforations
No full textThis study aimed to evaluate the precision and reliability of the integrated electronic apex locator in determining various root perforation diameters and to examine the impact of instrumentation kinematics on perforation site detection. One hundred extracted single-root mandibular premolars were artificially perforated at five distinct diameters (0.25–1.25 mm), located 5 mm above the root apex. The teeth were then divided into 10 groups based on perforation size and kinematic subgroup (rotary, reciprocation; n = 10/subgroup). Actual distances to the perforation site (actual length) were measured under a dental operating microscope. Electronic distances (electronic length) were determined using an endodontic motor with an integrated electronic apex locator using rotary or reciprocating instrumentation kinematics during root canal treatment. To quantify the actual length to the electronic length discrepancies, individual tooth measurements were compared. The integrated electronic apex locator failed to identify perforations ≤ 0.50 mm in diameter. Electronic length measurements were similarly accurate for 1.00 and 1.25 mm perforations but more precise than for 0.75 mm perforations. Instrumentation kinematics did not affect the electronic length measurement accuracy. Integrated electronic apex locators failed to detect small perforations during root canal treatment. The perforation diameter influenced the detection accuracy of integrated electronic apex locators, whereas kinematics had no effect
