Microfluidic Assays for CD4 T Lymphocyte Counting: A Review.

CD4 T lymphocytes play a key role in initiating the adaptive immune response, releasing cytokines that mediate numerous signal transduction pathways across the immune system. Therefore, CD4 T cell counts are widely used as an indicator of overall immunological health. HIV, one of the leading causes of death in the developing world, specifically targets and gradually depletes CD4 cells, making CD4 counts a critical metric for monitoring disease progression.

Jinbei oral liquid for idiopathic pulmonary fibrosis: a randomized placebo-controlled trial.

The traditional Chinese medicine compound preparation known as Jinbei Oral Liquid (JBOL) consists of 12 herbs, including Astragalus membranaceus (Fisch.) Bge, Codonopsis pilosula (Franch.) Nannf, et al.

Mechanism of hyperbaric oxygen therapy downregulating H-type angiogenesis in subchondral bone of knee osteoarthritis through the PHD2/HIF-1α pathway.

Objective: To explore the mechanism of hyperbaric oxygen therapy in inhibiting subchondral bone angiogenesis and delaying the progression of osteoarthritis through the PHD2/HIF-1α signaling pathway.

Methods: Mice were randomly divided into three groups (control group, osteoarthritis group, and hyperbaric oxygen treatment group). The effect of hyperbaric oxygen therapy on osteoarthritis was evaluated using Micro-CT, Safranin O-Fast Green staining, and detection of osteoarthritis inflammation markers (MMP-13, ADAMTS-5, Col2a1, and Aggrecan).

Chromosome-level genome assembly and annotation of Japanese anchovy (Engraulis japonicus).

The Japanese anchovy (Engraulis japonicus), a finfish with the largest biomass of a single species in the Yellow and East China Seas, plays an important pivotal role in converting zooplanktons into high trophic fish in the food web. As a result, the fish is regard as a key species in its habiting ecosystem. However, the lack of genomic resources hampers our understanding of its genetic diversity and differentiation, as well as the evolutionary dynamics.

Graph anomaly detection based on hybrid node representation learning.

Anomaly detection on graph data has garnered significant interest from both the academia and industry. In recent years, fueled by the rapid development of Graph Neural Networks (GNNs), various GNNs-based anomaly detection methods have been proposed and achieved good results. However, GNNs-based methods assume that connected nodes have similar classes and features, leading to issues of class inconsistency and semantic inconsistency in graph anomaly detection.