Research reveals that hydrogen bond is the primary factor contributing to high activity of PDES monomer, while steric effect within system weakens monomer by competing with bonding effect.

This study investigated the effects of combined Rhodiola rosea (RHO) and caffeine (CAF) supplementation on lower limb explosive power fatigue recovery in volleyball players, aiming to validate their potential synergistic effects. A randomized, double-blind, placebo-controlled design was implemented involving 48 male athletes allocated into four groups: placebo (CTR), (RHO), (CAF), (RHO + CAF). Over weeks, participants engaged twice-weekly high-intensity resistance training, with performance...

Accurately identifying potential drug-target interactions (DTIs) is a critical step in drug discovery. Multiple heterogeneous biological data provide abundant features for DTI prediction. Many computational methods have been proposed based on these data. However, most of either extract from sequences or networks, utilizing only one aspect the characteristics drugs and targets, neglecting complementary information between two types features. In fact, integrating different will more valuable...

In recent years, the rapid development of blockchain technology has attracted much attention from people around world. Scammers take advantage pseudo-anonymity to implement financial fraud. The Ponzi scheme, one main scam methods, defrauded investors large amounts money, thereby harming their interests and hindering application blockchain. Unfortunately, current detection typically largely relies on source code contract or uses a single feature which does not fully represent characteristics....

Independent component analysis (ICA), instead of the traditional discrete cosine transform (DCT), is often used to project log Mel spectrum in robust speech feature extraction. The paper proposed using symmetric orthogonalization ICA for projecting into a new space as substitute extracting features solve problem cumulative error and unequal weights that deflation brings, so improve robustness recognition systems, increase efficiency estimation at same time. Furthermore, studied...

The performance of traditional mel-frequency cepstral coefficients (MFCC) speech feature extraction method decreases drastically in the complex noisy environment. To improve and robustness recognition system, which is based on spectral envelope estimation method, minimum distortionless response spectrum MVDR-MFCC (Minimum Variance Distortionless Response-MFCC) was proposed. However, computational complexity very high. In this paper, we proposed MHCC (Hilbert-MFCC) for speech, introduced...

The traditional sports match analysis mostly adopts the method of manual observation and recording, which is not only time-consuming laborious but also has defects subjectivity inaccuracy in judgment results, resulting deviation data statistical results. purpose this paper to study an artificial intelligence system that can automatically analyze evaluate effect both sides volleyball matches. In paper, divided into two steps: detection tracking moving objects, recognition, classification...

The identification of disease-related genes is great significance for the diagnosis and treatment human disease. Most studies have focused on developing efficient accurate computational methods to predict disease-causing genes. Due sparsity complexity biomedical data, it still a challenge develop an effective multi-feature fusion model identify disease genes.This paper proposes approach pathogenic gene based multi-head attention (MHAGP). Firstly, heterogeneous biological information networks...

Deep learning is to learn the inherent laws and representation levels of sample data. The information obtained during these processes great help in interpretation data such as text, images, sounds. Through deep method, image features are learned independently, feature extraction realized, which greatly simplifies process. It uses technology capture motion volleyball players realizes recognition classification types finds characteristics deficiencies current players’ spiking skills by...

With the development of China’s sports industry, technical and tactical level team is required to be higher higher. This study mainly discusses diagnostic model volleyball technique tactics based on artificial neural network. help correlation function in Matlab network toolbox, training process evaluation network, sample data index repeatedly simulated studied, finally parameters with minimum error highest accuracy are saved as for subsequent verification evaluation. The middle layer hidden...

Multiple defendants in a criminal fact description generally exhibit complex interactions, and cannot be well handled by existing Legal Judgment Prediction (LJP) methods which focus on predicting judgment results (e.g., law articles, charges, terms of penalty) for single-defendant cases. To address this problem, we propose the task multi-defendant LJP, aims to automatically predict each defendant Two challenges arise with LJP: (1) indistinguishable among various defendants; (2) lack...

To achieve accurate and robust face recognition, this paper designs a recognition algorithm based on optimal feature selection.The is denoted as GRA-LSSVM, because it integrates grey relational analysis (GRA) with least squares support vector machine (LSSVM).Firstly, the target image was segmented into several subblocks.Next, global features of were extracted from each subblock by kernel principal component (PCA).After that, GRA introduced to determine that contribute greatly...

With the development of electronic technology and sensor technology, more intelligent devices integrate micro inertial sensors, which makes research human action recognition based on sensing data have great application value. Data‐based is a new direction in field pattern recognition, essentially process acquisition, feature extraction, classification recognition. Inertial motion information includes acceleration angular velocity information, ubiquitous daily life. Compared with visual it...

MiRNAs play an important role in the occurrence and development of human disease. Identifying potential miRNA-disease associations is valuable for disease diagnosis treatment. Therefore, it urgent to develop efficient computational methods predicting reduce cost time associated with biological wet experiments. In addition, high-quality feature representation remains a challenge association prediction using graph neural network methods. this paper, we propose method named ESGC-MDA, which...

In high-resolution radar applications, the scatter distribution of target usually evolves non-linearly with movement, and thus it is difficult for a Bayesian filter to achieve an accurate estimation extension state on its own. To solve this problem, we propose use measurement features help propagate posterior in paper, resulting feature-aided extended probability hypothesis density (FA-ET-PHD) filter, where are applied calculate partition weights. Since feature-based weights do not abide by...

Video-based person re-identification aims to match pedestrians from video sequences across non-overlapping cameras. A major challenge of the is serious intra-class distance caused by cropped frames variation in sequences. To address this issue, a novel consistency feature learning (SCFL) framework for video-based proposed. Specifically, SCFL utilizes deep neural network and proposed loss learn sequences-invariant features each pedestrian, which decreases partial occlusions, inaccurate...

With the development of volleyball, traditional school volleyball has been paid increasing attention. This also aroused concern schools, coaches, and athletes become focus reserve talent training. The purpose this paper is to use knowledge biomechanics study serving technology attacking in volleyball. In aspect biomechanics, proposes finite element modeling theory human body. upper limbs players are modeled analyzed, four powerful teams selected for video analysis offensive skills. overall...

In volleyball, the correct approach and start (including number of steps stride speed) are a prerequisite for all technical movements to attack. It can not only improve horizontal speed athlete, but also properly convert total into vertical speed, so that hitting point is improved ball accelerated. To explore biomechanical characteristics lower limb in run-up take-off stage volleyball spiking, this paper takes four male players from Physical Education College X University as research objects...

In the upcoming fifth-generation (5G) ecosystem, delivery of a variety personalized services is envisioned. With development software-defined networks and network function virtualization technologies, display increasingly flexible features, such as programmability. Network slicing state-of-the-art technology that provides tailored to specific demands users, smart grids e-health applications. this article, we introduce concept its application discuss related work. addition, propose an...

The vertical partitioning is a process of dividing relation into several fragments. objective to minimize the number disk accesses and execute transactions concurrently, furthermore ,the performance query execution system throughput are improved. Study expand transaction_Based algorithm in this paper. It has been proved that it can decompose fragments relationally.