(searched for: 10.29328/journal.ijcv.1001040)
Published: 28 October 2021
International Journal of Clinical Virology, Volume 5, pp 087-095; https://doi.org/10.29328/journal.ijcv.1001040
Background: The survival of people living with HIV (PLWHIVs) is increased and Health systems will have to deal with the early-aging-associated medical conditions. Objective: The objective of this study is to compare the clinical and biological profiles of PLWHIVs aged 50 and over and those aged less than 50 years. Material and methods: This study conducted at Kinshasa University Teaching Hospital (KUTH) covers 6 years. The clinical and biological characteristics of PLWHIVs aged 50 and over were compared with those under 50. Statistical analysis used the means ± SD, the calculation of frequencies, Student’s t-test and Chi-square. Results: PLWHIVs aged 50 or over represented 35.1%. Their average age was 58.0 ± 4.8 years. Women predominate among those under 50 and men among those 50 and over. Married people were more numerous (54% among those under 50). There were more unemployed (50% of PLHIV under 50). Patients 50 years and older were significantly classified as WHO stage 4 with a high frequency of history of tuberculosis, genital herpes, high blood pressure, smoking, vomiting, hepatomegaly, moderate elevation of diastolic blood pressure (DBP) and sytolic blood pressure (SBP), tuberculosis and anemia. Those under 50 had a significantly increased frequency of shingles, hepatitis B-hepatitis C, headaches and more survivals. The mean of Hb, HDL-C, and CD4s+ were significantly lower in patients 50 years and older, and urea, LDL-C, and ALAT levels were significantly higher. Conclusion: The average age was higher from 50 years old. These PLWHIVs were more frequently in WHO stage 4 with more common TB and anemia. Their Hb, HDL-C, and CD4s+ levels were lower while their urea, LDL-C and ALAT levels were significantly elevated.
International Journal of Computer Vision, Volume 128, pp 2363-2365; https://doi.org/10.1007/s11263-020-01380-5
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Published: 20 July 2017
The paper gives futuristic challenges disscussed in the cvpaper.challenge. In 2015 and 2016, we thoroughly study 1,600+ papers in several conferences/journals such as CVPR/ICCV/ECCV/NIPS/PAMI/IJCV.
Published: 9 June 2014
Manifold Learning for 3D Shape Description and Classification; https://doi.org/10.21236/ada606874
Periodically, the US Army conducts detailed measurement surveys of its soldiers as a way to understand the impact that changes in soldier body size have for the design, fit and sizing of virtually every piece of clothing and equipment that Soldiers wear and use in combat. Recently finished US Army Anthropometric Survey (ANSUR II) has collected 3D body scan data of soldiers at the Natick Solider Center (NSC), as shown in Figure 1. By applying new techniques for shape analysis and classification to these 3D body scan data will help designers of clothing and personal protection equipment to understand and fit Army population. The overall research goal of this proposal is to create a new manifold learning framework for large-scale graph decomposition and approximation problems by low-rank approximation and guarantee computable, stable and fast optimizations for 3D shape description and classification. The PI's group has published (or accepted for publication) 1 book through Springer and 13 scientific papers partially supported by this grant. In particular, these papers are in top journals and conference proceedings such as TPAMI, IJCV, TCSVT, ICCV, AAAI, SDM, ACM MM, etc. One paper, 1 out of 384, receives the Best Paper Award in SDM 2014. The PI, Dr. Y. Raymond Fu has received the 2014 INNS Young Investigator Award, from International Neural Networks Society (INNS), 2014. Leveraged by this grant, the PI has been granted an ARO Young Investigator Program (YIP) Award and a Defense University Research Instrumentation Program (DURIP) award.