Structural Evaluation of A Masonry Wall Reinforced by Built-up T-Joint BFRP Plates

2021 ◽  
Vol 12 (5) ◽  
pp. 25-36
Author(s):  
Ga-Ram Kim ◽  
◽  
Hak-Hyun Kim ◽  
Woo-Young Jung
Keyword(s):  
Masonry Wall ◽  
Structural Evaluation

Structural Evaluation of Fiber Reinforced Hollow Wood Beams

2001 ◽  
Vol 85 (6) ◽  
pp. 37-42 ◽  
Author(s):  
Scott Kent ◽  
Dan Tingley
Keyword(s):  
Fiber Reinforced ◽  
Structural Evaluation ◽  
Wood Beams

Multi-Epitope Vaccines (MEVs), as a Novel Strategy Against Infectious Diseases

2020 ◽  
Vol 17 (5) ◽  
pp. 354-364
Author(s):  
Mohammad Mahmoudi Goumari ◽  
Ibrahim Farhani ◽  
Navid Nezafat ◽  
Shirin Mahmoodi
Keyword(s):  
Infectious Diseases ◽  
Epitope Prediction ◽  
Cost Effective ◽  
Antimicrobial Drugs ◽  
Antibiotic Resistant ◽  
Time Consumption ◽  
Preclinical Evaluation ◽  
Structural Evaluation ◽  
Novel Strategy ◽  
Epitope Vaccines

Infectious diseases have caused historical pandemics in the world. Three strategies, including sanitation programs, antimicrobial drugs, and vaccines are considered for the prevention and treatment of infectious diseases. Today, some infectious diseases cause millions of mortalities universally. Due to the emergence of antibiotic-resistant pathogens, as well as some limitations of traditional vaccines, focusing on novel strategies is essential. Multi-Epitope Vaccines (MEVs), as a novel strategy, have been designed based on immunoinformatics methods; epitope prediction by authentic servers, attachment of epitopes using proper linkers, physicochemical, immunological and structural evaluation by bioinformatics tools that are basic stages in MEVs designing. Advantages such as cost-effective, high safety, less time consumption in designing, the application of natural adjuvants, and satisfactory preclinical evaluation outstand MEVs than other types of vaccines. Therefore, MEVs are promising vaccines against resistant diseases such as lower respiratory infection and diarrhea.

High Level-of-Detail BIM and Machine Learning for Automated Masonry Wall Defect Surveying

2018 ◽  
Author(s):  
Enrique Valero ◽  
Alan Forster ◽  
Frédéric Bosché ◽  
Camille Renier ◽  
Ewan Hyslop ◽  
...  
Keyword(s):  
Machine Learning ◽  
Masonry Wall ◽  
Level Of Detail ◽  
Wall Defect ◽  
High Level
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