In the context of the era of big data, the comprehensive enhancement and managerial refinement of rural e-commerce can be achieved through the profound and real-time scrutiny of rural e-commerce data. However, only relying on a single fusion algorithm is ...

In recent years, there has been a rapid development of science and technology in China. This article uses a marketing data mining model to conduct research on consumers' purchasing intention. The research is based on traditional questionnaire surveys, ...

In the era of artificial intelligence, a profound examination of the significance and purpose of contemporary English education in tertiary institutions assumes paramount importance. This paper endeavours to explore sustainable development strategies for ...

A text classification-based financial report management generation system is proposed to address the issues of slow data collection and low data integration efficiency in existing financial report management generation systems. The overall system focuses ...

In recent years, cross-border e-commerce has developed rapidly, but logistics and distribution still face major obstacles. The emergence of the internet of things (IoT) provides opportunities for it. This paper aims to study the utilisation of IoT in ...

This work focused on conducting pharmacological network analysis for identifying the mechanism of components of Artemisia annua herba (AAH) and corresponding target proteins related to cancer. We acquired chemical constituents of AAH based on traditional ...

Alisma orientale decoction (AOD), a traditional Chinese medicine composed of AO and AM, has a significant effect on the treatment of vertigo, improving the curative effect and reducing the likelihood of side effects with long-term stable medication. This ...

Antimicrobial peptides (AMPs) function as the foremost barrier alongside fungi, bacteria, and viruses, thereby playing a pivotal role in innate immunity. These small peptides, ranging in size from 10 to 60 amino acid residues, are generated by various ...

There are problems in the process of biomedical literature data mining, such as high data noise, low mining accuracy, and long-time consumption. Therefore, a biomedical literature data mining method based on association rule algorithm was designed. First,...

The current study attempted to identify the action target and related signal pathways of the Wuzi Yanzong prescription for the treatment of asthenozoospermia (AZS) by using network pharmacology and molecular docking. We identified 72 active components in ...

In this study, it is aimed to compare the performance of deep learning and classical classification methods in the classification of RNA-Seq data, which is one of the data sources used to investigate the relationship between disease and genes. Two data ...

Understanding the molecular basis of life is important for advances in fundamental and applied biological research. Numerous and complex biological activities occur simultaneously in all living cells in a controlled manner to execute an optimal ...

Recombination-activating gene 2 (RAG2) encodes the protein subunit RAG2 of the RAG1/2 endonuclease complex. This complex is well-known for its critical role in generating the diversity of B and T cell receptors. Mutations that impact the function of RAG2 ...

Protein complex prediction is an essential task in cell biology to understand and analyse the Protein-Protein Interaction (PPI) networks, further bringing about the knowledge of many important biological functions. The availability of ever-growing protein-...

Variant filtering as a part of the genome reconstruction process is used for identifying falsely called variants. Availability of truth set variants published for several human DNA samples enabled the creation of the machine learning-based Smart Variant ...

Our aim was to make comprehensive analyses of mRNAs and miRNAs in early diagnosis of Colorectal Cancer (CRC) via Principal Component Analysis (PCA)-based Unsupervised Feature Extraction (UFE) and additional bioinformatics approaches. miRNA and mRNA ...

By applying Machine Learning, it is possible to determine the impact of the main comorbidities and risk factors associated with COVID-19 based on an analysis of official Mexican Secretary of Health data. This analysis was performed using Feature Utility ...

HSPD1 is a potential biomarker in many cancers. However, its role in oesophageal cancer (ESCA) is poorly understood. Among patients with ESCA, a high HSPD1 expression is linked to a poor outcome. As suggested by Cox analysis results combined with ROC (...

Alzheimer's Disease (AD) is a neurodegenerative disease whose permanent cure is not yet available. However, its prediction at an early stage may increase the life span of a person by many years. The main predicament is to detect AD at an early stage and ...

Evaluating patient prognosis is prominent for predicting the effects and consequences of diseases. Systems can find interesting properties within a data set and predict unseen cases. Feature extraction and feature selection are the critical steps. In this ...