Şule Aydın yine muhteşem ötesi… Olay köşkte geçiyor, aşçı bahçıvana, bahçıvan şöföre, şöför uşağa, sonra hepsi birlikte uşağa… Babalar, oğullar, kayınpederler, eski yardımcılar ve aile dostları BDD...

Fon soruşturmasında BDDK ve banka yöneticisi tutuklandı Ekonomi Haber — Sermaye piyasası işlemlerine ilişkin fon soruşturmasında gözaltına alınan BDD...

Oxi-Tech Solutions has secured Innovate UK funding for a two-year research partnership with the University of Warwick to develop electrochemical water disinfection technology that could reduce reliance on chemical cleaning agents in industrial applications. The Knowledge Transfer Partnership (KTP), beginning in 2027, will focus on improving the efficiency, durability and commercial viability of Oxi-Tech’s patented Pulse Oxidation™ technology, which uses boron-doped diamond (BDD) electrodes to generate ozone directly from water using electricity. The technology employs electrodes supplied by materials specialist Element Six, with the ozone produced providing a disinfecting action without requiring conventional chemical disinfectants to be added to the water. The partnership will combine Oxi-Tech’s existing technology and commercial experience with Warwick’s expertise in electrochemistry, advanced materials and electrochemical cell engineering. A central objective is to develop two types of product platform: compact ozone-generation systems for smaller, distributed water-treatment applications, and larger industrial systems aimed at clean-in-place (CIP) operations and higher-capacity water treatment. CIP systems are widely used in industries such as food and beverage manufacturing to clean the internal surfaces of pipes, vessels and processing equipment without dismantling them. Conventional approaches can involve substantial quantities of chemical cleaning agents, water and energy, including energy used to heat cleaning...

Background: Body dysmorphic disorder (BDD) is a chronic, impairing condition for which cognitive behavioral therapy, including exposure and response prevention (ERP), is the first-line treatment, but few clinicians are trained in BDD-specific ERP. Constructing personalized exposure hierarchies is time-intensive and requires clinical expertise, particularly for patients with absent insight who may hold appearance beliefs with delusional conviction. Generative AI (GenAI)–powered chatbots, such as ChatGPT, have shown utility for clinical content, but their capacity to produce safe, appropriate ERP hierarchies for BDD has not been examined. Objective: This study evaluated the #feasibility of using ChatGPT (GPT-5) to generate ERP hierarchies for BDD, assessed the influence of clinical and demographic characteristics on output quality, benchmarked AI-generated hierarchies against those created by doctoral-level BDD specialists, and tested whether blinded experts could distinguish AI-generated from expert-generated hierarchies. Methods: GPT-5 generated 10-item graded exposure hierarchies for 72 simulated vignettes that varied by body area, insight level (good, limited, or absent), symptom specificity, age, and gender. Expert clinicians independently generated hierarchies for a subset of 18 vignettes. Two researchers rated all GPT-5 hierarchies for task completion and information integration. Three BDD expert clinicians, blinded to the hierarchy source (expert vs GPT-5), rated all 90 hierarchies for relevance, specificity, variability, safety, and overall quality. After unblinding, raters attempted to identify the AI-generated hierarchy in the 18 matched pairs. Results: GPT-5 generated complete hierarchies for 69 of 72 (95.8%) vignettes. Blinded experts rated GPT-5 hierarchies highly across all dimensions (mean scores ranging from 4.39, SD 0.26 to 4.90, SD 0.16 out of 5), with no significant differences from expert-generated hierarchies except for variability, where experts scored modestly higher (=.02; =0.24). After unblinding, raters correctly identified AI-generated hierarchies only 31.5% (17/54) of the time, significantly below chance (=.009); this below-chance result was mostly due to one rater, and no rater performed above chance. Insight level was the most consistent predictor of quality: absent-insight hierarchies received significantly lower safety (

Dermatologists play a key role in the diagnosis of BDD in an era of increasing focus on one’s digital perception through social media.