Abstract In this work, we exploit the Grover operator for the weight analysis of a Boolean function, specifically to solve the weight-decision problem. The weight w is the fraction of all possible inputs for which the output is 1. The goal of the weight-decision problem is to find the exact weight w from the given two weights w1 and w2 satisfying a general weight condition as w1 + w2 = 1 and 0 ...

In this paper, a family of weighted neighborhood sequence distance functions defined on the square grid is presented. With this distance function, the allowed weight between any two adjacent pixels along a path is given by a weight sequence. We build on our previous results, where only two or three unique weights are considered, and present a framework that allows any number of weights. We show...

where p > 0, c > 0, and λ > 0 are parameters and Ω is an open bounded region with boundary ∂Ω in class C2 in Rn for n ≥ 1. Here g :Ω→ R is a Cα function while h :Ω→ R is a nonnegative Cα function with ‖h‖∞ = 1. When p = 1, (1.1) arises in population dynamics where 1/λ is the diffusion coefficient and ch(x) represents the constant yield harvesting. In this case (p = 1), when g(x) is a positive c...

the aim of this study was to investigate the correlation between each parent’s body mass index (bmi) and maternal age with weight status of children. this was an analytic cross-sectional study which was conducted on 12-year-old students from different areas in rasht, north part of iran. the checklist included demographic characteristics such as age, maternal age during childbirth, student and m...

BACKGROUND There has been a rapid increase in the publication of guidelines for managing obesity and weight gain during pregnancy over the past five years. Healthcare professionals have identified multiple barriers to this area of practice, including the need to improve their communication skills, beliefs that pregnant women will have negative reactions to weight-related discussions, and a lack...

The security of code-based cryptography usually relies on the hardness Syndrome Decoding (SD) problem for Hamming weight. best generic algorithms are all improvements an old algorithm by Prange, and they known under name Information Set (ISD) algorithms. This work aims to extend ISD algorithms’ scope changing underlying weight function alphabet size SD. More precisely, we show how use Wagner’s ...

The objective of this study is to investigate the effects an intervention based on Acceptance and Commitment Therapy (ACT), compared Psychoeducation Cognitive Behavioral (CBT) (weight body mass index [BMI]) self-reported measures (binge eating psychological flexibility) in overweight or obese people. It’s a mixed 2x3 factorial design: Intervention (ACT x Psychoeducation/CBT) Time (before, after...