SAPPNet: students' academic performance prediction during COVID-19 using neural network.

A variety of reasons have made it more difficult for educators and tutors to anticipate students' performance. Numerous researchers have used various predictive models to identify students who may be at-risk of dropping out early. Additionally, these methods were used to forecast final semester grades based on various datasets.

Network-base approaches to identify therapeutic biomarkers in hepatocellular carcinoma and search for drug hunting utilizing molecular dynamics simulations.

The presence of conditions like Alpha-1 antitrypsin deficiency, hemochromatosis, non-alcoholic fatty liver diseases and metabolic syndrome can elevate the susceptibility to hepatic cellular carcinoma (HCC). Utilizing network-based gene expression profiling network analyst tools, presents a novel approach for drug target discovery. The significance level (-score) obtained through Cytoscape in the intended center gene survival assessment confirms the identification of all target center genes, which play a fundamental role in disease formation and progression in HCC.

Immunoinformatic based designing of potential immunogenic novel mRNA and peptide-based prophylactic vaccines against H5N1 and H7N9 avian influenza viruses.

Influenza viruses are the most common cause of serious respiratory illnesses worldwide and are responsible for a significant number of annual fatalities. Therefore, it is crucial to look for new immunogenic sites that might trigger an effective immune response. In the present study, bioinformatics tools were used to design mRNA and multiepitope-based vaccines against H5N1 and H7N9 subtypes of avian influenza viruses.

Characterization and bioactivities of : In-silico modeling of as a potential drug source.

In current study the pharmaceutically active herbs was used against coccidiosis, caused by a protozoan: , lead to $ 3 billion loss annually. The aqueous and methanolic extracts of whole plants were applied to assess sporulation inhibition (spi) assay and calculated the inhibitory concentration (IC). For study 9 groups of 14 day old broiler chicks were infected with and three groups were treated different concentrations of methanolic extracts of and post infection.

Identification of a Potential Vaccine against Using Subtractive Proteomics and Reverse-Vaccinology Approaches.

Syphilis, a sexually transmitted infection, is a deadly disease caused by . It is a Gram-negative spirochete that can infect nearly every organ of the human body. It can be transmitted both sexually and perinatally.

Weakly-supervised learning method for the recognition of potato leaf diseases.

As a crucial food crop, potatoes are highly consumed worldwide, while they are also susceptible to being infected by diverse diseases. Early detection and diagnosis can prevent the epidemic of plant diseases and raise crop yields. To this end, this study proposed a weakly-supervised learning approach for the identification of potato plant diseases.

Genome-wide screening of vaccine targets prioritization and reverse vaccinology aided design of peptides vaccine to enforce humoral immune response against Campylobacter jejuni.

Campylobacter jejuni, gram-negative bacteria, is an infectious agent of foodborne disease-causing bloody diarrhea, abdominal pain, fever, Guillain-Barré syndrome (GBS) and Miller Fisher syndrome in humans. Campylobacter spp. with multidrug resistance to fluoroquinolones, tetracycline, and erythromycin are reported.