In this task, you're given a paragraph from the research paper and your task is to generate a suitable title for the research paper based on the given paper. Under 100 words is a good title length.
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Question: autoimmune arthritis. In the present study, we provide compelling experimental in vivo evidence in support of our hypothesis. Using the SCHOOL approach and the SARS-CoV fusion peptide sequence, we rationally designed a novel immunomodulatory peptide that targets TCR. We showed that this peptide ameliorates collagen-induced arthritis in DBA/1J mice and protects against bone and cartilage damage. Incorporation of the peptide into self-assembling lipopeptide nanoparticles that mimic native human high density lipoproteins significantly increases peptide dosage efficacy. Together, our data further confirm that viral immune evasion strategies that target MIRRs can be transferred to therapeutic strategies that require similar functionalities.

Answer: SARS Coronavirus Fusion Peptide- Derived Sequence Suppresses Collagen-Induced Arthritis in DBA/1J Mice OPEN


Question: In this paper, a modified susceptible infected susceptible (SIS) epidemic model is proposed on community structure networks considering birth and death of node. For the existence of node's death would change the topology of global network, the characteristic of network with death rate is discussed. Then we study the epidemiology behavior based on the mean-field theory and derive the relationships between epidemic threshold and other parameters, such as modularity coefficient, birth rate and death rates (caused by disease or other reasons). In addition, the stability of endemic equilibrium is analyzed. Theoretical analysis and simulations show that the epidemic threshold increases with the increase of two kinds of death rates, while it decreases with the increase of the modularity coefficient and network size.

Answer: The Journal of China Universities of Posts and Telecommunications Modeling and analysis of epidemic spreading on community network with node's birth and death


Question: In this study, a multi-pathogens survey was conducted to verify the sanitary status of two Italian wolf packs of Majella National Park. Twenty fecal samples (10/pack) were collected using a sampling protocol, based on the combining data from radio-collared wolves with geographic information system (GIS) analysis, allowing to mark off the home range of packs and to recover groupspecific and high-quality specimens. Virological screening against the most prevalent canine viruses (protoparvovirus, distemper virus, adenoviruses, and coronaviruses) was carried out by molecular methods, while parasites were detected by means of copromicroscopic and molecular analysis. Canine parvovirus type 2b (CPV-2b) is the most prevalent virus in both packs (7/20), followed by canine adenovirus type 2 (CAdV-2), while no sequences of canine distemper virus and coronaviruses were detected. The sequence analysis of the viruses demonstrated the domestic origin of the infection, highlighting the importance of vaccination of local dogs in order to reduce the risk of exposure of wildlife to these pathogens. Fourteen samples resulted positive for parasites. Capillaria aerophila (sin. Eucoleus aerophilus), Ancylostoma/Uncinaria, Trichuris vulpis eggs, Sarcocystis spp., Cystoisospora canis, and Angiostrongylus vasorum larvae were identified. Echinococcus granulosus sensu stricto (ovine genotype G1) and Giardia duodenalis(canid-specific Assemblage C) were also characterized, providing insights into the wolves' diet and their effects on environmental contamination. The sampling protocol applied in this study, based on a multidisciplinary approach, represents an innovative tool for the survey of Apennine wolf, able to integrate sanitary data with the ecological and demographic features of this population.

Answer:
Detection of selected pathogens in Apennine wolf (Canis lupus italicus) by a non-invasive GPS-based telemetry sampling of two packs from Majella National Park, Italy