Background: Obesity is associated with chronic inflammation in obese subjects, which leads to an increase of inflammatory cytokines. This study aimed to evaluate the effect of different intensity circuit resistance training on levels of interleukin 1 beta and interleukin-10 in obese men. Methods: In a semi-experimental trial during May to August 2020, 44 obese men from Tehran city were selecte...

The biology-inspired intelligent computing system for the neuromorphic hardware implementation is useful in high-speed parallel information processing. However, traditional Von Neumann computer architecture and unsatisfactory signal transmission approach have jointly limited overall performance of specific implementation. In this paper, a compact extreme learning machine (ELM) synthesized with ...

The study examined the different a number of power-saving strategies, including sleep, stack, sleep transmission gate logic, or self-controllable voltage level- upper (SVL-U). These methods are used with SRAM cells that have 6 transistors (6T), 7 (8T), 8 (9T), and 10 (10T). SVL-U method logic in suggested cell. According to comparison memory array as well cells, dynamic power is significantly d...

Integrated circuit technology has gone through several decades of aggressive scaling. It is increasingly challenging to analyze growing design complexity. Post-layout SPICE simulation can be computationally prohibitive due to the huge amount of parasitic elements, which can easily boost the computation and memory cost. As the decrease in device size, the circuits become more vulnerable to proce...

This paper introduces a peculiar approach of designing Static Random Access Memory (SRAM) memory cell in Quantum-dot Cellular Automata (QCA) technique. The proposed design consists of one 3-input MG, one 5-input MG in addition to a (2×1) Multiplexer block utilizing the loop-based approach. The simulation results reveals the excellence of the proposed design. The proposed SRAM cell achieves 16% ...

Abstract Despite the pursuit of quantum advantages in various applications, power computers executing neural network has mostly remained unknown, primarily due to a missing tool that effectively designs suitable for circuit. Here, we present and circuit co-design framework, namely QuantumFlow, address issue. In represent data as unitary matrices exploit by encoding n = 2 k inputs into qubits re...

This paper proposes robust simulation of piecewise linear systems as a tool for the analysis of nonlinear electronic circuits. Rather than computing the evolution of a single trajectory, robust simulation computes the evolution from a set of initial conditions in the state space, for all forcing input signals within a given class. We describe here a tool to perform this analysis using mathemati...

Computing Leakage Current Distributions and Determination of Minimum Leakage Vectors for Combinational Design. (May 2006) Kanupriya Gulati, B.E., University of Delhi Chair of Advisory Committee: Dr. Sunil Khatri Analyzing circuit leakage and minimizing leakage during the standby mode of operation of a circuit are important problems faced during contemporary circuit design. Analysis of the leaka...

Understanding the behaviors of information propagation is essential for the effective exploitation of social influence in social networks. However, few existing influence models are both tractable and efficient for describing the information propagation process and quantitatively measuring social influence. To this end, in this paper, we develop a linear social influence model, named Circuit du...