Abstract A procedure is introduced for the analysis of seasonal trends in time series Earth observation imagery. Called Seasonal Trend Analysis (STA), based on an initial stage harmonic each year to extract annual and semi‐annual harmonics. Trends parameters these harmonics over years are then analysed using a robust median‐slope procedure. Finally, images used create colour composites highlighting amplitudes phases seasonality trends. The technique specifically rejects high‐frequency...

Matrix metalloproteinase-9 (MMP-9) can degrade the extracellular matrix and participate in tumor progression. The relationship between MMP-9 immune cells has been reported various malignant tumors. However, there is a lack of comprehensive pan-cancer studies on cancer prognosis infiltration.We used data from TCGA GTEx databases to comprehensively analyze differential expression normal cancerous tissues. Survival analysis was performed understand prognostic role different We then analyzed...

Allergic rhinitis (AR) is a condition with rising global prevalence, though its specific pathogenic mechanisms remain elusive. Several studies have indicated that pyroptosis one of the key in pathogenesis AR. However, no research has investigated molecular targets context Our study endeavored to identify common biomarkers and could offer insights into prevention AR progression novel therapeutic targets. Data from Gene Expression Omnibus (GEO) database, including GSE51392, GSE43523, GSE44037,...

Biomedical texts provide important data for investigating drug-drug interactions (DDIs) in the field of pharmacovigilance. Although researchers have attempted to investigate DDIs from biomedical and predict unknown DDIs, lack accurate manual annotations significantly hinders performance machine learning algorithms. In this study, a new DDI prediction framework, Subgraph Enhance model, was developed (SubGE-DDI) improve This model uses drug pairs knowledge subgraph information achieve...

Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients early (EGC) after surgical resection. To strengthen diagnosing screening key to improve life quality EGC. This study applied data mining methods for risk EGC on basis noninvasive factors, displayed important influence factors The dataset was derived from project First Hospital Affiliated Guangdong Pharmaceutical University. A series questionnaire surveys, serological examinations...

The experimental verification of a drug discovery process is expensive and time-consuming. Therefore, efficiently effectively identifying drug-target interactions (DTIs) has been the focus research. At present, many machine learning algorithms are used for predicting DTIs. key idea to train classifier using an existing DTI predict new or unknown DTI. However, there various challenges, such as class imbalance parameter optimization classifiers, that need be solved before optimal model...

Artificial intelligence (AI)-assisted prediction of adverse drug reactions (ADRs) has significant potential for improving safety and reducing financial costs. Early studies often relied on limited dimensions such as the molecular structure drugs or interactions with biomolecules. In contrast, integrating these characteristics provides valuable insights into ADR predictions from multiple perspectives, enhancing comprehensiveness accuracy models. addition, previous have focused whether a...

The use of social media has changed since the outbreak coronavirus disease 2019 (COVID-19). However, little is known about gender disparity in for nonspecific and health-specific issues before during COVID-19 pandemic. Based on a difference perspective, this study aimed to examine how uses 2017–2020. data came from Health Information National Trends Survey Wave 5 Cycle 1–4. This included 10,426 participants with complete data. Compared 2017, there were higher levels general 2020, an...

Node localization, which is formulated as an unconstrained NP-hard optimization problem, considered one of the most significant issues wireless sensor networks (WSNs). Recently, many swarm intelligent algorithms (SIAs) were applied to solve this problem. This study aimed determine node location with high precision by SIA and presented a new localization algorithm named LMQPDV-hop. In LMQPDV-hop, improved DV-Hop was employed underground mechanism gather estimation distance, in average hop...

Parkinson's disease (PD) is a common neurodegenerative in middle-aged and elderly people. Liuwei Dihuang (LWDH) pills have good effect on PD, but its mechanism remains unclear. Network pharmacology the result of integrating basic theories research methods medicine, biology, computer science, bioinformatics, other disciplines, which can systematically comprehensively reflect drug intervention networks.The main components targets herbs LWDH were obtained through Traditional Chinese Medicine...

Memory B cells and microRNAs (miRNAs) play important roles in the progression of gastric adenocarcinoma (GAC), also known as stomach (STAD). However, few studies have investigated use memory B-cell-associated miRNAs predicting prognosis STAD.We identified marker genes by single-cell RNA sequencing (scRNA-seq) associated with constructing an mRNA‒miRNA coexpression network. Then, univariate Cox, random survival forest (RSF), stepwise multiple Cox regression (StepCox) algorithms were used to...

Constructing a portfolio of investments is one the most significant financial decisions facing individuals and institutions, modern theory based on rational investor choosing proportions assets in so as to minimize risk maximize expected return. In this paper, constrained selection problem studied heuristic algorithm particle swarm optimization (PSO) applied solve problem. At first, considering some complex realistic constrains new model formulated. addition, PSO given because traditional...

The bacterial toxin staphylococcal enterotoxin C2 (SEC2) can cause toxic shock syndrome and food poisoning. Although the previously determined crystal structure of SEC2 revealed that some histidine residues (His47, His118 His122) contribute to binding zinc ions, little is known about their biological roles in SEC2. This prompted us investigate role site coordinating activities mutants with substitutions at positions 118 122 all retained T-cell stimulatory activity, whereas position 47 were...

Mobile app traffic classification aims to automatically map mobile packets into apps. It has become an active task in engineering, and numerous algorithms have been proposed for this task, including machine learning, deep packet inspection methods. However, existing works mainly evaluate their methods on own collected traces. There is no public benchmark data. The results papers cannot be directly compared. This largely limits the development of paper describes our Traffic Data(MTD): Android...

The purpose of this work was to study the giant strong component (GSC) B. thuringiensis metabolic network by structural and functional analysis. Based on so-called "bow tie" structure, we extracted studied GSC with its significance. Global properties such as degree distribution average path length were computed indicated that is also a small-world scale-free network. Furthermore, decomposed significant for metabolism these divisions investigated comparing KEGG pathways.