BACKGROUND Sarcomas in adults can be associated with hereditary cancer syndromes characterized by early-onset predisposition to numerous types of cancer. Because of variability in familial presentation and the largely unexplained genetic basis of sarcomas, ascertainment of patients for whom a genetics evaluation is most indicated poses challenges. We assessed the utility of a Sarcoma Clinic Gen...

Several studies have shown that patients with frontal lobe damage (FL) generate fewer words than control participants in verbal fluency tasks. In the current study, we were interested in assessing the quality of such verbal fluency data. Multidimensional exploratory techniques, namely, hierarchical clustering (HC) and correspondence analysis (CoA), were performed on verbal fluency data collecte...

We report a 26-yr-old female patient with bilateral breast cancer who was clinically diagnosed with Li-Fraumeni like syndrome (LFL) and subsequently found to have a germline mutation of the TP53 gene. The patient was initially diagnosed with right breast cancer at age 24 yr and then with left breast cancer at age 25 yr. Surgery and radiotherapy were performed accordingly. The patient had a fami...

The behavior of the electronic system of heavy fermion metals is considered. We show that there exist at least two main types of the behavior when the system is nearby a quantum critical point which can be identified as the fermion condensation quantum phase transition (FCQPT). We show that the first type is represented by the behavior of a highly correlated Fermi-liquid, while the second type ...

Germline TP53 mutations predispose individuals to multiple cancers and are associated with Li-Fraumeni/Li-Fraumeni-Like Syndromes (LFS/LFL). The founder mutation TP53 p.R337H is detected in 0.3% of the general population in southern Brazil. This mutation is associated with an increased risk of childhood adrenal cortical carcinoma (ACC) but is also common in Brazilian LFS/LFL families. Breast Ca...

Abstract One of the most common metrics to evaluate neural network classifiers is area under receiver operating characteristic curve (AUC). However, optimisation AUC as loss function during training not a standard procedure. Here we compare minimising cross-entropy (CE) and optimising directly. In particular, analyse landscape (LFL) approximate (appAUC) functions discover organisation this solut...

The role of prefrontal cortex in the analysis of global and local levels of a visual stimulus was assessed by measuring reaction time to identify a target at one level or the other. Unlike patients with temporal-parietal lesions (STG), there were no global-local performance deficits in right or left prefrontal groups (RFL or LFL). Reallocation of attention to global and local levels was measure...

We consider spinless electrons in two dimensions with the bare spectrum ǫ(p) = |px| + |py|. In momentum space, the interactions among electrons have a finite range q0, which is small compared to the Fermi momentum. A golden rule calculation of the electron lifetime indicates a breakdown of the Landau Fermi liquid in the model. At the one-loop level of perturbation theory, we show that the densi...

Federated learning is a promising approach for training machine models using distributed data from multiple mobile devices. However, privacy concerns arise when sensitive are used training. In this paper, we discuss the challenges of applying local differential to federated learning, which compounded by limited resources clients and asynchronicity learning. To address these challenges, propose ...

هدف اصلی این پژوهش ارائه چارچوبی برای ارزیابی عملکرد شرکت بهره‌­برداری قطار شهری مشهد بر مبنای کارت امتیازی متوازن و تکنیک تصمیم‌­گیری چندمعیاره (بهترین ـ بدترین فازی) است. حاضر از نظر هدف، کاربردی روش، کمّی اسنادی جمع‌­آوری داده‌های کیفی اساس 15 خبره در طی مقطع زمانی بین سال­‌های 1396 تا 1398 صورت پذیرفت. 9 معیار منظر مالی، 16 مشتریان، 8 فرایند داخلی 14 رشد توسعه یادگیری طریق اسناد پژوهش­‌های پ...