BACKGROUND Obesity is a well-established independent risk factor for hypertension and other cardiometabolic disorders. However, the best anthropometric index of obesity that predicts or associates strongly with hypertension and related conditions remains controversial and inconclusive. OBJECTIVE This study compared the performance of eight anthropometric indices of obesity: body mass index (B...

background: the body mass index (bmi) is widely used to diagnose overweight and obesity. however, there are limitations on the use of bmi and development of alternative measures can be of clinical importance. this study aimed to compare specificity and sensitivity of weight for height (w/h), waist circumference (wc) and waist-to-height ratio (whtr) with bmi-for-age in diagnosing overweight and ...

optimization of the exploitation operation is one of the most important issues facing the mining engineers. since several technical and economic parameters depend on the cut-off grade, optimization of this parameter is of particular importance. the aim of this optimization is to maximize the net present value (npv). since the objective function of this problem is non-linear, three methods can b...

background: adjustment disorder (ajd) is a transient mental health condition emerging after stressful life events. its diagnostic criteria have recently been under revision which led to the development of the adjustment disorder–new module 20 (adnm-20) as a self-report assessment. objective: to identify a threshold value for people at high risk for ajd. methods: as part of a randomized controll...

background early predictive biomarkers for acute kidney injury (aki) such as neutrophil elatinase-associated lipocalin (ngal) could identify patients who may benefit from early initiation of treatment. objectives we aimed to obtain a cut off point for aki prediction by urine ngal in kidney transplantation. patients and methods in a prospective cohort study, 64 adult who underwent kidney transpl...

background : the measuring serum ferritin level as a sensitive inflammatory biomarker might effectively predict preterm delivery, but the power and the best cut-off point of this biomarker for predicting preterm labor in iranian population has not been substantially identified. our purpose was to determine what concentrations of serum ferritin could identify patients at risk for preterm deliver...

We study the scaling behavior of the size of minimum dominating set (MDS) in scale-free networks, with respect to network size N and power-law exponent c, while keeping the average degree fixed. We study ensembles generated by three different network construction methods, and we use a greedy algorithm to approximate theMDS.With a structural cutoff imposed on themaximal degree kmax~ ffiffiffiffi...

A lot of work has been devoted to the study of the magnetic interactions between two paramagnetic centres bridged by an aromatic ring.[1] The study of the spin delocalisation and polarisation effects is helpful in order to understand the nature of these magnetic interactions. The spin-polarisation mechanism itself provides a key tool for predicting the kind of magnetic interactions in high-spin...

We propose and test several computational methods to automatically determine possible saliency cut-off points in Sketch Engine (Kilgarriff and Tugwell, 2001). Sketch Engine currently displays collocations in descending importance, as well as according to grammatical relations. However, Sketch Engine does not provide suggestions for a cut-off point such that any items above this cut-off point ma...

We analyze the degree distribution’s cut-off in finite size scale-free networks. We show that the cut-off behavior with the number of vertices N is ruled by the topological constraints induced by the connectivity structure of the network. Even in the simple case of uncorrelated networks, we obtain an expression of the structural cut-off that is smaller that the natural cut-off obtained by means...