knowledge network

DangGui-KuShen (DK) is a well-known classic traditional Chinese medicine recipe that improves blood circulation, eliminates moisture, and detoxifies, and is frequently used in the treatment of cardiovascular problems. Some protective effects of DK on cardiovascular disease have previously been identified, but its precise mechanism remains unknown. The goal of this study is to combine metabolomics and network pharmacology to investigate DK's protective mechanism in Ischemic Heart Disease(IHD) rat models. A combination of metabolomics and network pharmacology based on UPLC-Q-TOF/MS technology was used in this study to verify the effect of DK on IHD through enzyme-linked immunosorbent assay, HE staining, and electrocardiogram, and it was determined that DK improves the synergistic mechanism of IHD...

Psoriasis is one of the most common inflammatory skin diseases with a chronic, relapsing-remitting course. The last decades of intense research uncovered a pathological network of interactions between immune cells and other types of cells in the pathogenesis of psoriasis. Emerging evidence indicates that dendritic cells, TH 17 cells, and keratinocytes constitute a pathogenic triad in psoriasis. Dendritic cells produce TNF-α and IL-23 to promote T cell differentiation toward TH 17 cells that produce key psoriatic cytokines IL-17, IFN-γ, and IL-22...

Receiving peer advocacy has been shown to result in increased HIV protective behaviors, but little research has gone beyond assessment of the mere presence of advocacy to examine aspects of advocacy driving these effects. With baseline data from a controlled trial of an advocacy training intervention, we studied characteristics of HIV prevention advocacy received among 599 social network members of persons living with HIV in Uganda and the association of these characteristics with the social network members' recent HIV testing (past six months) and consistent condom use, as well as perceived influence of advocacy on these behaviors...

In 2021, the Preconception Health Network Australia co-developed preconception health core indicators identified as critical to ensuring optimal maternal and child outcomes following conception. We conducted an audit of perinatal databases across each state and territory to identify whether preconception core indicator data were available. Seven health domains co-developed by the Preconception Health Network were mapped against the data collected in the perinatal databases. Indicator data were lacking across all seven health domains, with data missing for social determinants of health indicators...

As Chikungunya virus (CHIKV) infection continues to rise globally, including in Malaysia, it is essential for healthcare workers (HCWs) to have adequate knowledge about the disease for diagnostic accuracy and to improve public health surveillance systems. This study aimed to assess awareness and measure the level of knowledge of CHIKV infection among HCWs in the Hulu Langat district and explore associated sociodemographic and skill-related factors. This was a cross-sectional study in which the questionnaire was physically distributed to participants using the universal sampling method...

The prevalence and potential functions of common mycorrhizal networks, or the 'wood-wide web', resulting from the simultaneous interaction of mycorrhizal fungi and roots of different neighbouring plants have been increasingly capturing the interest of science and society, sometimes leading to hyperbole and misinterpretation. Several recent reviews conclude that popular claims regarding the widespread nature of these networks in forests and their role in the transfer of resources and information between plants lack evidence...

BACKGROUND: Dementia with Lewy bodies (DLB) is characterized by insular atrophy, which occurs at the early stage of the disease. Damage to the insula has been associated with disorders reflecting impairments of the most fundamental components of the self, such as anosognosia, which is a frequently reported symptom in patients with Lewy bodies (LB). The purpose of this study was to investigate modifications of the self-concept (SC), another component of the self, and to identify neuroanatomical correlates, in prodromal to mild DLB...

BACKGROUND AND OBJECTIVES: Without strategic actions in its support, the translation of scientific research evidence into health policy is often absent or delayed. This review systematically maps and assesses national-level strategic documents in the field of knowledge translation (KT) for health policy, and develops a practical template that can support Evidence-informed Policy Network (EVIPNet) Europe countries in producing national strategies for evidence-informed policy-making. METHODS: Websites of organizations with strategic responsibilities in KT were electronically searched, on the basis of pre-defined criteria, in July-August 2017, and an updated search was carried out in April-June 2021...

Bayesian networks represent a useful tool to explore interactions within biological systems. The aims of this study were to identify a reduced number of genes associated with a stress condition in chickens (Gallus gallus) and to unravel their interactions by implementing a Bayesian network approach. Initially, one publicly available dataset (3 control vs. 3 heat-stressed chickens) was used to identify the stress signal, represented by 25 differentially expressed genes (DEGs). The dataset was augmented by looking for the 25 DEGs in other four publicly available databases...

The CRISPR/Cas9 genome editing technology has transformed basic and translational research in biology and medicine. However, the advances are hindered by off-target effects and a paucity in the knowledge of the mechanism of the Cas9 protein. Machine learning models have been proposed for the prediction of Cas9 activity at unintended sites, yet feature engineering plays a major role in the outcome of the predictors. This study evaluates the improvement in the performance of similar predictors upon inclusion of epigenetic and DNA shape feature groups in the conventionally used sequence-based Cas9 target and off-target datasets...

BACKGROUND: Racial disparities in lung cancer screening (LCS) are well established. Black Veterans are among those at the highest risk for developing lung cancer but are less likely to complete LCS. We sought to identify barriers and facilitators to LCS uptake among Black Veterans. PATIENTS AND METHODS: A qualitative study using semistructured interviews was conducted with 32 Black Veterans to assess for barriers, facilitators, and contextual factors for LCS and strategies to improve screening...

Myocardial infarction (MI) is a common cardiovascular disease caused by the blockages of coronary arteries. The visual inspection of electrocardiogram (ECG) is the main diagnosis pattern, while it is taxing and time-consuming. Motivated from state refinement module for long short term memory (SRM-LSTM), we proposed two improved state refinement frameworks based on LSTM and gated recurrent unit (GRU) called ISRM-LSTM and ISRM-GRU. Both are capable of adaptively refining current states of sample points in ECG with a message passing mechanism than existing LSTM...

Predicting the response of tumor cells to anti-tumor drugs is critical to realizing cancer precision medicine. Currently, most existing methods ignore the regulatory relationships between genes and thus have unsatisfactory predictive performance. In this paper, we propose to predict anti-tumor drug efficacy via learning the activity representation of tumor cells based on a priori knowledge of gene regulation networks (GRNs). Specifically, the method simulates the cellular biosystem by synthesizing a cell-gene activity network and then infers a new low-dimensional activity representation for tumor cells from the raw high-dimensional expression profile...

Deep neural networks (DNNs) involve advanced image processing but depend on large quantities of high-quality labeled data. The presence of noisy data significantly degrades the DNN model performance. In the medical field, where model accuracy is crucial and labels for pathological images are scarce and expensive to obtain, the need to handle noisy data is even more urgent. Deep networks exhibit a memorization effect, they tend to prioritize remembering clean labels initially. Therefore, early stopping is highly effective in managing learning with noisy labels...

Epigraphy is witnessing a growing integration of artificial intelligence, notably through its subfield of machine learning (ML), especially in tasks like extracting insights from ancient inscriptions. However, scarce labeled data for training ML algorithms severely limits current techniques, especially for ancient scripts like Old Aramaic. Our research pioneers an innovative methodology for generating synthetic training data tailored to Old Aramaic letters. Our pipeline synthesizes photo-realistic Aramaic letter datasets, incorporating textural features, lighting, damage, and augmentations to mimic real-world inscription diversity...

BACKGROUND: Social media (SM) has been recognized as a professional communication tool in the field of orthopedic and trauma surgery that can enhance communication with patients and peers, and increase the visibility of research and offered services. The specific purposes of professional SM use and the benefits and concerns among orthopedic and trauma surgeons, however, remain unexplored. OBJECTIVE: This study aims to demonstrate the specific uses of different SM platforms among orthopedic and trauma surgeons in Germany as well as the advantages and concerns...

OBJECTIVE: This study aims to investigate the practical application of "Internet + technology" leveraging medical big data to enhance the development of a smart hospital platform. Specifically, the focus is on optimizing patient care processes, refining medical data management systems, and enhancing operational efficiency within the hospital setting. METHODS: With the help of traditional Internet and mobile Internet technology, we analyzed the patient behavior big data accumulated in our hospital for many years, simplified the diagnosis and treatment links, refined the service connotation, and improved patient satisfaction before, during and after diagnosis; With the help of barcode, RFID and 5G networks, the links that are easy to produce medical security incidents can be monitored to improve medical quality, such as digital operating room system, establishment of multidisciplinary consultation center (MDT), electronic medical record system based on digital signature, etc...

Spatially-resolved datasets are revolutionizing knowledge in molecular biology, yet are under-utilized for questions in evolutionary biology. To gain insight from these large-scale datasets of spatial organization, we need mathematical representations and modeling techniques that can both capture their complexity, but also allow for mathematical tractability. Evolutionary graph theory utilizes the mathematical representation of networks as a proxy for heterogeneous population structure and has started to reshape our understanding of how spatial structure can direct evolutionary dynamics...

OBJECTIVE: To evaluate the effectiveness of different acupuncture treatments for mammary gland hyperplasia (MGH) using a network meta-analysis. METHODS: Several databases were searched without language restrictions from 2000 to February 2023, including PubMed, Embase, Web of Science, Cochrane Library, China Science and Technology Journal Database, China Biology Medicine Database, Wanfang Database, China National Knowledge Infrastructure Database, and other professional websites and gray literature...

Stringent response and quorum sensing (QS) are two essential mechanisms that control bacterial global metabolism for better survival. Sphingomonads are a clade of bacteria that survive successfully in diverse ecosystems. In silico survey indicated that 36 out of 79 investigated sphingomonads strains contained more than one luxI homolog, the gene responsible for the biosynthesis of QS signal acyl homoserine lactones (AHLs). Investigation of the regulatory effects of the stringent response gene rsh on QS related bioactivities were carried out using rsh mutants of Sphingobium japonicum UT26 and Sphingobium sp...