Unmanned aerial vehicles (UAVs) are extensively employed for urban image captures and the reconstruction of large-scale 3D models due to their affordability versatility. However, most commercial flight software lack support adaptive capture multi-view images. Furthermore, limited performance battery capacity a single UAV hinder efficient capturing scenes. To address these challenges, this paper...

A high-spatial-resolution coherent Doppler wind lidar (CDWL) with high modulation efficiency is reported. The pseudo-random phase coding (PRPC) links the spatial resolution to rate but suffers from non-rectangular transition caused by limited bandwidth. With help of continuous (CPM), abrupt switching between successive bit intervals avoided, thus significantly reducing bandwidth requirement. By...

the aim of this paper is to introduce the concepts of fuzzy upper and fuzzy lower almost continuous, weakly continuous and almost weakly continuous multifunctions. several characterizations and properties of these multifunctions along with their mutual relationships are established in $l$-fuzzy topological spaces

PURPOSE To compare the effectiveness of continuous infusion of hydrocortisone versus intermittent boluses in the resolution of septic shock. METHODS A retrospective chart review was performed to investigate the effects of low-dose hydrocortisone continuous infusion (200 mg per day) versus intermittent boluses (50 mg every six hours) in septic shock patients who did not respond to fluid resusc...

The role of mechanical force in cellular processes is increasingly revealed by single molecule experiments and simulations of force-induced transitions in proteins. How the applied force propagates within proteins determines their mechanical behavior yet remains largely unknown. We present a new method based on molecular dynamics simulations to disclose the distribution of strain in protein str...

Protein structure prediction is one of the great challenges in structural biology. The ability to accurately predict the three-dimensional structure of proteins would bring about significant scientific advances and would facilitate finding cures and treatments for many diseases. We propose a novel computational framework for protein structure prediction. The novelty of the framework lies in its...

This paper proposes a new framework for signal prediction realized at linguistic level. It uses Fuzzy Cognitive Maps approach and a genetic algorithm based learning method. Fuzzy Cognitive Maps are very convenient and powerful technique of modeling and analysis of dynamic systems. Recently introduced learning method that uses real-coded genetic algorithm approach opened new possibilities of the...