ANTAGONISM OF THE PROSTAGLANDIN D2 RECEPTOR CRTH2 ATTENUATES ASTHMA PATHOLOGY IN MOUSE EOSINOPHILIC AIRWAY INFLAMMATION

Antagonism of the prostaglandin D2 receptor CRTH2 attenuates asthma pathology in mouse eosinophilic airway inflammation

Abstract Background Mast cell-derived prostaglandin D2 (PGD2), may contribute to eosinophilic inflammation and mucus production in allergic asthma.Chemoattractant receptor homologous molecule expressed on TH2 4 Piece RAF Reclining Sectional cells (CRTH2), a high affinity receptor for prostaglandin D2, mediates trafficking of TH2-cells, mast cells,

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Penyelenggaraan Bimbingan dan Konseling di Sekolah Dasar

Abstract: This study is descriptive qualitative that aims to know the empirical evidence about the implementation of guidance and counseling at Public Elementary School Sungai Miai 5 Banjarmasin.The results showed that the implementation of Cake Tin guidance and counseling refers to the results of understanding of students.The strategy implemented

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Spectral Index-Based Estimation of Total Nitrogen in Forage Maize: A Comparative Analysis of Machine Learning Algorithms

Nitrogen plays a fundamental role as a nutrient for the growth of leaves and the process of photosynthesis, as it directly influences the quality and yield of corn.The importance of knowing the foliar nitrogen content through Machine Learning algorithms will help determine the efficient use of nitrogen fertilization in a context of sustainable agro

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Flexural Behavior of Reinforced HPFRCC Beams

High Performance Fiber Reinforced Cementitious Composite (HPFRCC) materials exhibit strain hardening behavior with multiple cracking under tensile loading.In this paper, experimental and parametric studies are performed to assess the influence of using HPFRCC material instead of normal concrete in reinforced concrete beams.After calibrating the exp

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Multi-objective optimization of grinding process parameters for complicated worm space surface based on the grey wolf optimization algorithm

Grinding is a critical method for enhancing the quality of worm tooth surfaces, and its process optimization has long been a significant research focus; however, existing methods are insufficient in addressing the nonlinearity and complexity inherent Monocrystalline Panels in the grinding of complex surfaces.In this study, a three-objective optimiz

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