Classification of Blood Species Using Fluorescence Spectroscopy Combined with Deep Learning Method

In this work, a deep belief neural network model (DBN) was developed to classify doves, chickens, mice and sheep blood samples, which have many similarities in composition causing their spectra to look almost identical by visual comparison alone. The DBN model was formulated for the feature extraction from the pretreated fluorescence spectroscopy. Then, cross-validation results showed that the application of deep learning method made it possible to classify the blood fluorescence spectroscopy in a more precise way than previous methods. Especially, the classification accuracy of whole blood with 1% of concentration was up to 97.5%.

Pure Red Cell Aplasia Caused by Parvovirus B19 in Patients with Human Immunodeficiency Virus Infection: A Series of Four Cases

Parvovirus B19(B19V)infection can cause pure red cell aplasia(PRCA)in patients with human immunodeficiency virus(HIV)infection.Intravenous immunoglobulin(IVIG)is a preferred treatment option.From July 2019 to March 2022,four patients with HIV infection were admitted to Guangzhou Eighth People’s Hospital with dizziness and fatigue and were diagnosed with PRCA.Blood investigations revealed severe anemia and the B19V genome.Therefore,the four patients were diagnosed with B19V-induced PRCA.All four patients received red blood cell transfusion in the setting of antiretroviral therapy,and two of the four patients received intravenous immunoglobulin(IVIG).After 3-7 months of treatment,all four patients recovered,although two did not receive IVIG.This suggests that IVIG is not always necessary for the treatment of PRCA in patients with HIV infection and that effective antiretroviral therapy and immunological reconstitution play an important role in the eradication of parvovirus.

Biological characteristics, biosafety prevention and control strategies for the 2022 multi-country outbreak of monkeypox

Monkeypox is a zoonotic disease caused by the monkeypox virus(MPXV),which is a potential biological warfare agent of bioterrorism and poses the greatest threat to the world’s public biosafety and health after variola virus(VARV).While the coronavirus disease 2019(COVID-19)pandemic has not ended yet,monkeypox is spreading menacingly.The first case of monkeypox in a nonendemic country was confirmed on May 6^(th),2022,while the first imported case from Asia was found on June 21^(st).There were more than 16 thousand reported cases as of July 23^(rd),the day the World Health Organization(WHO)declared the global monkeypox outbreak a public health emergency of international concern(PHEIC)at the same level as smallpox and COVID-19;while there were more than 53 thousand cases as of September 1^(st).Therefore,we will propose relevant biosafety prevention and control strategies after analyzing the etiology of the 2022 multi-country monkeypox outbreak from the biological feature,transmissibility,epidemic,and variability of MPXV.

Investigation of the Potential and Mechanism of Clove for Mitigating Airborne Particulate Matter Emission from Stationary Sources

Vegetative Barriers （VB） have the potential to mitigate air pollutants emitted from area sources, including concentrated Animal Feeding Operations （AFOs）. However, the mechanism has not been fully investigated, thereby limiting the application of vegetation systems in practice. An experimental method with repeatable and controllable conditions was developed to measure the change of Particulate Matter （PM） concentrations at upwind and downwind of VB in the wind tunnel and observe accumulated PM on leaves with Scanning Electron Microscope （SEM）, thus evaluating the ability of VB in mitigating PM emitted from AFOs. Branch-scale vegetation, clove （syzygium aromaticum） was selected because its leaves are one of the major factors affecting PM dispersion. The results show that the branch-scale barriers, as porous medium have the ability to interfere with airflow and reduce PM, which could be influenced by wind speed, particle size fraction and surface area density of clove. Moreover, clove elements could adjust to the wind and the micro structure of clove （such as the hierarchical structures of leaves） affected on the PM deposition. These results indicate that the methods developed in this study may be used to evaluate the potential of vegetation in mitigating PM from stationary sources, and some characteristics of vegetation can be further studied as bionic prototype for exploring engineering application of reducing particulates.