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Microglial cell response to experimental periodontal disease | Journal of Neuroinflammation

Microglial activation is critical for modulating the neuroinflammatory process and the pathological progression of neurodegenerative diseases, such as Alzheimer's disease (AD). Microglia are involved in forming barriers around extracellular neuritic plaques and the phagocytosis of β-amyloid peptide (Aβ). In this study, we tested the hypothesis that periodontal disease (PD) as a source of infection alters inflammatory activation and Aβ phagocytosis by the microglial cells. Experimental PD was induced using ligatures in C57BL/6 mice for 1, 10, 20, and 30 days to assess the progression of PD. Animals without ligatures were used as controls. Maxillary bone loss and local periodontal tissue inflammation associated with the development of PD were confirmed by morphometric bone analysis and cytokine expression, respectively. The frequency and the total number of activated microglia (CD45+ CD11b+ MHCII+) in the brain were analyzed by flow cytometry. Mouse m ....

United States , La Jolla , San Diego , Miltenyi Biotec , Dnasei Zymo Research , Hbss Rd Systems Inc , Sigma Aldrich , Graphpad Software , Roswell Park Memorial Institute , Graphpad Prism Software , Committee Of The Forsyth Institute , Institutional Animal Care , Use Committee , Forsyth Institute , Life Technologies , Thermofisher Scientific , Transcription Kit , Applied Biosystems , Steponeplus Real Time , Fast Advanced Master Mix , Taqman Gene Expression Assays , Zymo Research , Fetal Bovine Serum , Fixable Viability Kit , Distributed Stochastic Neighbor Embedding , Soy Agar ,

Processes | Free Full-Text | The Value of Energy Storage in Facilitating Renewables: A Northeast Area Analysis

The cross-regional and large-scale transmission of new energy power is an inevitable requirement to address the counter-distributed characteristics of wind and solar resources and load centers, as well as to achieve carbon neutrality. However, the inherent stochastic, intermittent, and fluctuating nature of wind and solar power poses challenges for the stable bundled dispatch of new energy. Leveraging the regulation flexibility of energy storage offers a potential solution to mitigate new energy fluctuations, enhance the flexibility of the hybrid energy systems, and promote bundled dispatch of new energy for external transmission. This paper takes energy storage as an example and proposes a capacity configuration optimization method for a hybrid energy system. The system is composed of wind power, solar power, and energy storage, denoted by the wind–solar–energy storage hybrid energy systems. The objective is to quantify the support provided by energy storage to bundled dis ....

Energy Storage System , Distributed Stochastic Neighbor Embedding , Storage System , Final Wind , Storage Ratio Planning , China Electric Power Research Institute ,

pgvector: Fewer dimensions are better

Increase performance in pgvector by using embedding vectors with fewer dimensions ....

Text Embedding Benchmark , Hugging Face , Principal Component Analysis , Distributed Stochastic Neighbor Embedding , Launch Week ,

Working to Secure the Backdoor

Working to Secure the Backdoor
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Sudipta Chattopadhyay , Information Systems Technology , Pillar Of The Singapore University Technology , Singapore University , Distributed Stochastic Neighbor Embedding , Mean Shift Clustering ,

Keeping the backdoor secure in your robust machine learning model

Keeping the backdoor secure in your robust machine learning model
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Sudipta Chattopadhyay , Ezekiel Soremekun , Information Systems Technology , Pillar Of The Singapore University Technology , Computers Security , Assistant Professor , Singapore University , Distributed Stochastic Neighbor Embedding , Mean Shift Clustering , Towards Backdoor Attacks , Robust Machine Learning Models ,