Intravenous immunoglobulin (IVIG) is used to treat several autoimmune and inflammatory diseases, but some patients are refractory IVIG require alternative treatments. Identifying a biomarker that could segregate responders from non-responders has been subject of intense research. Unfortunately, previous transcriptomic studies aimed at addressing resistance have failed predict identify IVIG-non-...

Kawasaki Disease (KD) is a self-limited acute vasculitis that mainly affects medium-sized arteries in childhood, with the coronary being one of main targets. A well-known complication aneurysm myocardial ischemia. We report case 29-year-old female an insignificant past medical history who presented sudden cardiac arrest. Labs were significant for elevated troponin, consistent non-ST elevation i...

Knowledge distillation (KD) has been actively studied for image classification tasks in deep learning, aiming to improve the performance of a student based on knowledge from teacher. However, applying KD regression with scalar response variable rarely studied, and there exists no method applicable both yet. Moreover, existing methods often require practitioner carefully select or adjust teacher...

در این پژوهش مسئله زمان‌بندی کار کارگاهی منعطف با ماشین‌های موازی درنظرگرفتن معیار تولید پاک‌تر، منابع دوگانه انسان-ماشین، زمان دسترسی کارها و پردازش وابسته به سرعت ماشین‌ها بررسی می­‌شود. اهداف شامل حداقل­‌کردن مجموع جریمه‌­های دیرکرد زودکرد افزایش است. داده می‌شود تا تکمیل کاهش یابد. درحالی‌که آلودگی صوتی محیط تولیدی منجر توجه رویکرد پاک‌تر که نگرشی پیشگیرانه است، اینجا سعی شده است حداقل­کردن...

Knowledge distillation (KD) has emerged as an essential technique not only for model compression, but also other learning tasks such continual learning. Given the richer application spectrum and potential online usage of KD, knowledge efficiency becomes a pivotal component. In this work, we study little-explored important topic. Unlike previous works that focus solely on accuracy student networ...

Knowledge distillation (KD) has proved to be an effective approach for deep neural network compression, which learns a compact (student) by transferring the knowledge from pre-trained, over-parameterized (teacher). In traditional KD, transferred is usually obtained feeding training samples teacher obtain class probabilities. However, original dataset not always available due storage costs or pr...

Abstract Glioblastoma (GBM) represents a particularly aggressive and immune-resistant cancer. Preclinical investigations have identified the anti-tumor activity of ketogenic diet (KD) in GBM, potentially being used as tool to target its glycolytic phenotype. Since immune cells tumor similar reliance upon nutrients perform their individual functions, we sought determine if KD influenced landscap...

در این مقاله یک مدل ریاضی برای مسئله سیستم تولیدی همکارانه ساخت بر اساس سفارش با رعایت انصاف تخصیص بار‌های تولید طراحی شده است. اهداف اصلی مدل، کمینه‌سازی هزینه‌‌های کل و حداکثر استفاده از منابع به‌منظور عادلانه شرایط عدم­قطعیت کنترل پارامتر‌های غیرقطعی روش برنامه‌ریزی فازی ‌شده نتایج نشان می‌دهد افزایش نرخ عدم‌قطعیت، می­یابد. ازآنجاکه ظرفیت کارخانه‌ها ثابت است، مقدار تقاضا، هر کارخانه نیز می­ی...

Ketogenic (KD) and high-fat (HFD) diets vitamin D (VD) produce variable effects on insulin secretion body weight (BW), but mechanisms remain unclear. We investigated the of normal fat (NFD), KD, HFD with without VD BW serum glucose, insulin, VD, resistance, C-reactive protein, interleukin-6, tumor necrosis factor-alpha in rats. Three isocaloric NFD, containing respectively protein-carbohydrate-...