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Microbiome as an endocrine organ and its relationship with eye diseases:Effective factors and new targeted approaches

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World Journal of Gastrointestinal Pathophysiology 2024年第5期15卷 1-18页

作者： Leila Haghshenas sara banihashemi Yalda Malekzadegan Roberto Catanzaro Amir Moghadam Ahmadi Francesco Marotta Department of Clinical Bioinformatics Harvard Medical SchoolBostonMA 02115United States Department of Bioscience School of Science and TechnologyNottingham Trend UniversityNottingham NG14FQUnited KingdomDepartment of BioscienceSchool of Science and TechnologyNottingham Trend UniversityNottingham NG14FQUnited Kingdom Department of Microbiology Saveh University of Medical SciencesSaveh ***Iran Department of Clinical and Experimental Medicine University of CataniaCatania 95123CataniaItaly Department of Neuroimmunology Thomas Jefferson University HospitalPhiladelphiaPA 19107United States Department of Human Nutrition and Food Sciences Texas Women UniversityMilano 20154Italy

Microbiome is an endocrine organ that refers to both the complicated biological system of microbial species that colonize our bodies and their genomes and *** studies confirm the connection between the microbiome and eye diseases,which are involved in the pathogenesis of eye diseases,including age-related macular disorders,diabetic retinopathy,glaucoma,retinitis pigmentosa,dry eye,and *** aim of this review is to investigate the microbiome in relation to eye ***,a brief introduction of the characteristics of the gut microorganisms terms of composition and work,the role of dysbiosis,the gut microbiome and the eye microbiome in the progression of eye illnesses are highlighted,then the relationship among the microbiome and the function of the immune system and eye diseases,the role of inflammation and aging and the immune system,It has been reviewed and finally,the control and treatment goals of microbiome and eye diseases,the role of food factors and supplements,biotherapy and antibiotics in relation to microbiome and eye health have been reviewed.

关键词： Dysbiosis Gut microbiome Eye diseases Inflammation Diabetic retinopatyhy Aging Nutrient supplementation

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Courtyard design impact on indoor thermal comfort and utility costs for residential households: Comparative analysis and deep-learning predictive model

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Frontiers of Architectural Research 2022年第5期11卷 963-980页

作者： Amir Tabadkani sara Aghasizadeh Saeed banihashemi Aso Hajirasouli School of Architecture and Built Environment Deakin UniversityGeelongAustralia Department of Architectural Technology Faculty of Architecture and UrbanismUniversity of ArtTehranIran Design&Built Environment School University of CanberraCanberraAustralia School of Architecture and Built Environment Queensland University of TechnologyQueenslandAustralia

A courtyard is an architectural design element which is often known as microclimate modifiers and is responsible to increase the indoor occupant comfort in traditional architecture. The aim of this study is to conduct a parametric evaluation of courtyard design variants in a residential building of different climates with a focus on indoor thermal comfort and utility costs. A brute-force approach is applied to generate a wide range of design alternatives and the simulation workflow is conducted by Grasshopper together with the environmental plugins Ladybug and Honeybee. The main study objective is the evaluation of the occupant thermal comfort in an air-conditioned residential building, energy load, and cost analysis, derived from different design variables including courtyard geometry, window-to-wall ratio, envelope materials, heating, and cooling set-point dead-bands, and building geographical location. Furthermore, a Deep Learning model is developed using the inputs and outputs of the simulation and analysis to transform the outcomes into the algorithmic and tangible environment feasible for predictive applications. The results suggest that regarding the thermal loads, costs, and indoor thermal comfort index (PMV), there are high correlations between the outdoor weather variation and dead-band ranges, while in extreme climates such as Singapore, courtyard spaces might not be efficient enough as expected. Finally, the highly accurate deep learning model is also developed, delivering superior predictive capabilities for the thermal comfort and utility costs of the courtyard designs.

关键词： Parametric design Courtyard microclimate Occupant comfort Building energy consumption Deep learning neural network Residential

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