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416 results on '"Cai, Bing"'

1. Angiogenesis-associated pathways play critical roles in neonatal sepsis outcomes

Author

Fidanza, Mario, Hibbert, Julie, Acton, Erica, Harbeson, Danny, Schoeman, Elizna, Skut, Patrycja, Woodman, Tabitha, Eynaud, Adrien, Hartnell, Lucy, Brook, Byron, Cai, Bing, Lo, Mandy, Falsafi, Reza, Hancock, Robert E. W., Chiume-Kayuni, Msandeni, Lufesi, Norman, Popescu, Constantin R., Lavoie, Pascal M., Strunk, Tobias, Currie, Andrew J., Kollmann, Tobias R., Amenyogbe, Nelly, and Lee, Amy H.

Published
2024
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3. Adaptive immune responses to two-dose COVID-19 vaccine series in healthy Canadian adults ≥ 50 years: a prospective, observational cohort study

Author

Gaultier, Gabrielle N., McMillan, Brynn, Poloni, Chad, Lo, Mandy, Cai, Bing, Zheng, Jean J., Baer, Hannah M., Shulha, Hennady P., Simmons, Karen, Márquez, Ana Citlali, Bartlett, Sofia R., Cook, Laura, Levings, Megan K., Steiner, Theodore, Sekirov, Inna, Zlosnik, James E. A., Morshed, Muhammad, Skowronski, Danuta M., Krajden, Mel, Jassem, Agatha N., and Sadarangani, Manish

Published
2024
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42. Outdoor Image Weather Recognition Based on Image Blocks and Feature Fusion

Author

ZUO Jie-ge, LIU Xiao-ming, CAI Bing

Subjects
image blocks, weather recognition, convolutional neural network, transfer learning, feature extraction, feature fusion, Computer software, QA76.75-76.765, Technology (General), T1-995
Abstract

In video surveillance and intelligent traffic,bad weather such as foggy,rainy and snowy can seriously affect the visibility of video images.Therefore,it is very important to quickly identify the current weather conditions and make adaptive clearness processing of surveillance videos.Aiming at the problems of poor effect of traditional weather recognition methods and lack of weather image data sets,a multi-class weather image blocks data set is constructed,and a weather recognition algorithm based on image blocks and feature fusion is proposed.The algorithm uses traditional methods to extract four features,namely average gradient,contrast,saturation and dark channel,which are taken as the shallow features of weather images.The algorithm uses transfer learning to fine -tune the VGG16 pre-training model,and extracts the full-connection layer features of the fine-tuning model,which are taken as the deep features of the weather image.The shallow and deep features of weather images are fused and used as the final features to train the Softmax classifier.The classifier can realize the recognition of foggy,rainy,snowy and sunny wea-ther images. Experimental results show that the recognition accuracy of the proposed algorithm can reach 99.26%,and the algorithm can be used as a weather recognition module in the adaptive video image sharpening system.

Published
2022
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44. Spatial kinetics and immune control of murine cytomegalovirus infection in the salivary glands.

Author

Byrne, Catherine M, Márquez, Ana Citlali, Cai, Bing, Coombs, Daniel, and Gantt, Soren

Subjects
CONGENITAL disorders, CYTOMEGALOVIRUS diseases, CYTOMEGALOVIRUSES, HUMAN cytomegalovirus, INFECTION
Abstract

Human cytomegalovirus (HCMV) is the most common congenital infection. Several HCMV vaccines are in development, but none have yet been approved. An understanding of the kinetics of CMV replication and transmission may inform the rational design of vaccines to prevent this infection. The salivary glands (SG) are an important site of sustained CMV replication following primary infection and during viral reactivation from latency. As such, the strength of the immune response in the SG likely influences viral dissemination within and between hosts. To study the relationship between the immune response and viral replication in the SG, and viral dissemination from the SG to other tissues, mice were infected with low doses of murine CMV (MCMV). Following intra-SG inoculation, we characterized the viral and immunological dynamics in the SG, blood, and spleen, and identified organ-specific immune correlates of protection. Using these data, we constructed compartmental mathematical models of MCMV infection. Model fitting to data and analysis indicate the importance of cellular immune responses in different organs and point to a threshold of infection within the SG necessary for the establishment and spread of infection. Author summary: Cytomegalovirus (CMV) is the most common congenital infection and causes an enormous burden of childhood disease. To gain insight into the immune requirements for controlling infection, we used a mouse model to reproduce characteristics of natural CMV infection, employing a low viral inoculum, and delivering the virus to the salivary glands (SG), a key site of CMV replication. Our results provide detailed data on the spatial and temporal spread of infection throughout the body and identify key immune correlates of the control of viral replication. By translating these findings into mechanistic mathematical models, we revealed the importance of organ-specific immune responses, particularly the requirement of TNF-α and IFN-γ to control infection within the salivary glands. Furthermore, our mathematical modeling allowed us to compare known characteristics of human CMV infection related to infection establishment and spread to those predicted in mice, underscoring the suitability of the MCMV model to study its human homologue. These insights provide guidance for developing targeted vaccines to prevent CMV infection and disease. [ABSTRACT FROM AUTHOR]

Published
2024
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45. Surface-anchoring fluorinated sulfonate enables efficient and stable perovskite photovoltaics.

Author

Yang, Bo, Li, Xinyue, Cai, Bing, Zheng, Xiaojia, Xiong, Kai, and Zhang, Wen-Hua

Abstract

Defects in solution-processed perovskite films can trap photoinduced carriers, facilitate ion migration, and accelerate degradation of perovskites, thus posing a major threat to the performance of perovskite solar cells (PSCs). To address these issues, we rationally proposed a multifunctional sulfonium salt molecule, namely diphenyl-(trifluoromethyl)-sulfonium trifluoromethanesulfonate (TFS-TFMS), which was designed to chelate the detrimental defects of perovskite films using a cost-effective post-treatment method. Theoretical and experimental evidence indicated that defects on the surface and grain boundaries of perovskite films, including uncoordinated Pb2+, volatile organic cations and mobile ionic vacancies, were synergistically anchored by S＝O, –CF3 and TFS+ groups in the TFS-TFMS molecule via Lewis acid–base coordination, hydrogen bonds and electrostatic interactions, respectively. The carrier dynamic behavior and energy level alignment at the interface between perovskites and hole-transportation-layers were also significantly improved. Consequently, the power conversion efficiency (PCE) of PSCs was boosted from 21.99% to 23.56% upon the introduction of TFS-TFMS, along with a diminished hysteresis index. In addition, the TFS-TFMS modified devices without encapsulation can retain 86% and 80% of their initial PCEs under aging conditions of 40–60% relative humidity (1752 h) or heating at 85 °C (504 h), respectively. It is expected that this synergistical design strategy of fluorine-rich sulfonium salt molecules can inspire more potential multifunctional modulators for efficient and stable PSCs towards commercialization in the future. [ABSTRACT FROM AUTHOR]

Published
2024
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