Multiple Alignment is a new interface for performing and analyzing multiple protein structure alignments. It enables viewing levels of sequence and structure similarity on the aligned structures and performing a variety of evolutionary and bioinformatic tasks, including the construction of structure-based phylogenetic trees and minimal basis sets of structures that best represent the topology o...

In order to better extract and study the characteristics of wind speed in time-domain frequency-domain, so as solve randomness frequency-domain complexity problems signal, a combined short-term prediction model (WD-VMD-DLSTM-AT), which is based on two-stage decomposition (WD + VMD), double long-short-term memory network (DLSTM) attention mechanism (AT), proposed; this basis, multi-input multipl...

Abstract The rational dispatch and steady supply of natural gas resources can be effectively supported by accurate forecasting the load. accuracy load is, however, low due to fundamental characteristics non-stationary non-linear Based on this, this paper proposes a new model based fusion VMD-SE CNN-BiLSTM-Attention. First, average instantaneous frequency method is used determine optimal K value...

In the construction of smart microgrids for petrochemical enterprises, generating unit is an important part, and rolling bearings are one key components generator. The condition bearing directly affects safe operation entire accurate fault diagnosis not only can improve stability microgrid, but also reduce risk loss factory. This study proposes improved method based on variational modal decompo...

Abstract Accurate power load prediction is a crucial basis to ensure the balance of supply and demand. This paper provides modified variational modal decomposition (VMD) - long short-term memory (LSTM) algorithm, using genetic algorithm (GA) iteratively optimize number layers penalty factor parameters, VMD obtain components, fuse them with filtered features. Then reconstruction data obtained th...

In the Vietnamese Mekong Delta (VMD), alternate wetting and drying (AWD) in rice (Oryza sativa L.) production during dry season has potential to reduce greenhouse gas emission freshwater use. However, its effect on yield compared with continuously flooded systems can vary. To evaluate of AWD yield-forming processes genotypes commonly grown VMD, field trials over two consecutive seasons were con...

Daily electricity peak load forecasting is important for generation capacity planning. Accurate leads to saving on excessive generating capacity, while maintaining the stability of power system. The main challenging tasks in this research field include improving accuracy and reducing computational time. This paper proposes a hybrid model involving variational mode decomposition (VMD), empirical...

The most important factor affecting efficacy and drift of pesticide applications is the droplet spectrum. To measure pesticide drift, researchers utilize fluorescent tracers to rapidly quantify spray deposition. Although fluorescent tracers have been used for more than 50 years, no experiments have been performed on the effect they have on the properties of pesticide formulations (density and v...

P3HT coordinates were obtained using GaussView with the TopoTools plugin in VMD. A single P3HT 20-mer consisted of 1002 atoms including 2 terminal hydrogen atoms. SWNT coordinates were obtained using the Nanotube Builder plugin in VMD and then relaxed separately with the Tersoff potential before the simulation. In the single P3HT chain – single SWNT runs a simulation box much bigger than the mo...

Figure 1: The first all-atom structure of the complete HIV virus capsid [1], a breakthrough enabled by CUDA technology in NAMD, VMD, and the Blue Waters supercomputer at Illinois. The first scientific breakthrough achieved with the Blue Waters supercomputer at the University of Illinois was the determination of the structure of the complete HIV capsid in atomic-level detail, a collaborative eff...