Insecticide resistance has recently become a critical concern for control of many insect pest species. Genome sequencing and global quantization gene expression through analysis the transcriptome can provide useful information relevant to this challenging problem. The oriental fruit fly, Bactrocera dorsalis, is one world's most destructive agricultural pests, it been used as target studies genetic mechanisms related insecticide resistance. However, prior study, molecular data available...

Agarwood is derived from Aquilaria trees, the trade of which has come under strict control with a listing in Appendix II Convention on International Trade Endangered Species Wild Fauna and Flora. Many secondary metabolites agarwood are known to have medicinal value humans, including compounds that been shown elicit sedative effects exhibit anti-cancer properties. However, little about genome, transcriptome, biosynthetic pathways responsible for producing such agarwood.In this study, we...

Abstract Viral hepatitis is the primary cause of liver diseases, among which cancer leading death from cancer. However, this often diagnosed in later stages, makes treatment difficult or even impossible. This study applied deep learning (DL) models for early prediction a cohort. In study, we surveyed 1 million random samples National Health Insurance Research Database (NHIRD) to analyze viral patients 2002 2010. Then, used DL predict cases based on history diseases Our results revealed...

DNA-binding proteins such as transcription factors use domains (DBDs) to bind specific sequences in the genome initiate many important biological functions. Accurate prediction of target sequences, often represented by position weight matrices (PWMs), is an step understand processes. Recent studies have shown that knowledge-based potential functions can be applied on protein-DNA co-crystallized structures generate PWMs are considerably consistent with experimental data. However, this success...

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research demonstrated that the occurrence of sICH is related to air pollution. This study used big data analysis explore impact pollution on risk in patients differing age and geographic location. 39,053 cases were included this study; 14,041 Taipei region (Taipei City New City), 5537 Taoyuan City, 7654 Taichung 4739 Tainan 7082 Kaohsiung City. The results correlation indicated there two pollutants groups, CO NO2 group...

Background: Diabetes mellitus (DM) is a major public health problem worldwide. It involves dysfunction of blood sugar regulation resulting from insulin resistance, inadequate secretion, or excessive glucagon secretion. Methods: This study collated 971,401 drug usage records 51,009 DM patients. These data include patient identification code, age, gender, outpatient visiting dates, medication features (included items, doses, and frequencies drugs), HbA1c results, testing time. We apply random...

This study evaluated the differences in spontaneous intracerebral hemorrhage (sICH) between rural and urban areas of Taiwan with big data analysis. We used analytics visualization tools to examine government open data, which included residents’ health medical administrative economic status, educational relevant information. The subjects sICH patients Taipei region (29,741 cases) Eastern (4565 cases). incidence per 100,000 population year (71.3 was significantly higher than that (42.3 mean...

A high mortality rate is an issue with acute cerebrovascular disease (ACVD), as it often leads to a medical expenditure, and in particular costs of treatment for emergency conditions critical care. In this study, we used group-based trajectory modeling (GBTM) study the characteristics various groups patients hospitalized ACVD. research, patient data were derived from 1 million sampled cases National Health Insurance Research Database (NHIRD) Taiwan. Cases who had been admitted hospitals...

Recently, the significance of data mining and machine learning have been highlighted in diversified application scenarios. Various techniques are often used to analyze gigantic amount create more commercial values high-end enterprise systems. However, advancement technologies has made possible on low-end systems, such as personal computers or embedded While researchers proposed excellent work management de-signs different components system, most built upon characteristics which may change...

Lung cancer remains a significant global public health concern, being the leading cause of cancer-related deaths worldwide. Despite recent medical advancements, disease still has high mortality rate, making early detection and treatment critical for improving patient outcomes. Accurate prediction nodule growth is key to lung treatment, but current assessments offer unclear indications future growth, physicians recommend costly anxiety-provoking follow-up appointments every 3 12 months. To...

Spontaneous intracerebral hemorrhage (sICH) has a high mortality rate. Research demonstrated that sICH occurrence is related to weather conditions; therefore, this study used the decision tree method explore impact of climatic risk factors on at different ages. The Taiwan National Health Insurance Database (NHIRD) and other open-access data were in study. inclusion criterion was first-attack sICH. algorithm random forest implemented R programming language. We defined as more than average...

Imbalanced data are ubiquitous in real-world datasets. This study investigate imbalanced distribution for binary classification, i.e., where the number of majority class instances is significantly greater than minority instances. It assumed that traditional machine learning algorithms attempt to minimize empirical risk factors, and, as a result, classification accuracy often sacrificed. However, people interested minority. Various data-level methods, such over- and under-sampling,...

Insertion of transposable elements (TEs) into introns can lead to their activation as alternatively spliced cassette exons, an event called exonization. Exonization enrich the complexity transcriptomes and proteomes. Previously, we performed a genome-wide computational analysis Ds exonization events in monocot Oryza sativa (rice). The insertion patterns increased number transcripts subsequent protein isoforms, which were determined interior C-terminal variants. In this study, these variants...

Spontaneous intracerebral hemorrhage (sICH) has many predisposing/risk factors. Lag sequential analysis (LSA) is a method of analyzing patterns and their associations within categorical data in different system states. The results this study will assist preventing sICH improving the patient outcome after sICH. correlations between first previous clinic visits were examined using LSA with obtained from Taiwan National Health Insurance Research Database (NHIRD). In study, was employed to...

Pressure ulcers (PUs) are a common problem associated with great morbidity and cost. Because of the lack professional personnel in institutions or home care system, diagnosis treatment PUs were sometimes delayed. We aim to develop an automatic tissue classification severity evaluation system using AI technology. All PU images collected from patients Far Eastern Memorial Hospital (FEMH) recent 3 years labeled according different types. The used train segmentation model U-net convolutional...