Results 121 to 130 of about 359,562 (287)
This study shows that lower NAM levels in PE‐derived pEVs correlate with disease severity. NAM‐deficient pEVs reduce Th1 and Th17 inhibition, leading to PE‐like symptoms. NAM in pEVs inhibits Th1 via SIRT1 and Th17 via macrophages. Reduced NAM in PE‐EVs is due to decreased HRS expression in trophoblasts, resulting from elevated HSP27.
Haiyi Fei +10 more
wiley +1 more source
Cellular Traffic Prediction Using Online Prediction Algorithms
The advent of 5G technology promises a paradigm shift in the realm of telecommunications, offering unprecedented speeds and connectivity. However, the efficient management of traffic in 5G networks remains a critical challenge. It is due to the dynamic and heterogeneous nature of network traffic, varying user behaviors, extended network size, and ...
Mehri, Hossein +2 more
openaire +2 more sources
A Mussel‐Inspired Bioadhesive Patch to Selectively Kill Glioblastoma Cells
An innovative mussel‐inspired bioadhesive patch has been developed for post‐surgical glioblastoma treatment. The patch, which adheres strongly in biological environments, releases a localized treatment. This treatment, acting via reactive oxygen species, shows specific toxicity to glioblastoma cells.
Jose Bolaños‐Cardet +5 more
wiley +1 more source
This study shows that monocytes in multiple myeloma display an excessive interferon response, leading to transcriptional reprogramming and altered differentiation. Using single‐cell sequencing, coculture experiments, and patient samples before and after therapy, the authors demonstrate that induction treatment reduces this interferon response ...
Jian Cui +18 more
wiley +1 more source
Modelling the Traffic Prediction at the Direct Level of TMS Systems
The paper deals with the issue of modelling traffic prediction in operational applications of infrastructure managers to increase the quality of decision-making at the direct level of railway traffic management.
Kučera Petr +3 more
doaj +1 more source
Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning
This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each ...
Bao-Lin Ye +3 more
doaj +1 more source
State Transition Graph-Based Spatial-Temporal Attention Network for Cell-Level Mobile Traffic Prediction. [PDF]
Shi J, Cui L, Gu B, Lyu B, Gong S.
europepmc +1 more source
Gαi1/3 Is a Novel Regulatory Target for RANKL Signal Transduction and Osteoporosis
ABSTRACT Osteoporosis, characterized by progressive bone loss and increased fracture risk, is a growing concern as the population ages. Current treatments, though advanced, remain limited, underscoring the necessity for novel therapeutic targets. Recent studies have shown that the immune system plays a key role in osteoporosis, with osteoclasts driving
Chaowen Bai +15 more
wiley +1 more source
This study designs a novel mRNA‐LNP vaccine targeting VZV glycoprotein E (gE) for herpes zoster via an AI‐assisted pipeline. Validated in mice and rhesus macaques, the mRNA‐LNP vaccine shows strong humoral and cellular immune responses, with CD4+ T‐cell responses more effective and durable than Shingrix, offering a promising prophylactic option ...
Kai Dong +6 more
wiley +1 more source
Heavy metal pollution in soil seriously threatens ecosystem and human health. However, traditional monitoring methods usually rely on intensive sampling, which is costly and difficult to be extended to large regional scales. Based on Orbita Hyperspectral
Gong Cheng +4 more
doaj +1 more source

