Engaging students in a genetics course-based undergraduate research experience utilizing in hybrid learning to explore human disease gene variants.

Genetic analysis in model systems using bioinformatic approaches provides a rich context for a concrete and conceptual understanding of gene structure and function. With the intent to engage students in research and explore disease biology utilizing the nematode model, we developed a semester-long course-based undergraduate research experience (CURE) in a hybrid (online/in-person) learning environment-the gene-editing and evolutionary nematode exploration CURE (GENE-CURE). Using a combination of bioinformatic and molecular genetic tools, students performed structure-function analysis of disease-associated variants of uncertain significance (VUS) in human orthologs.

Non-Pauli Errors Can Be Efficiently Sampled in Qudit Surface Codes.

Surface codes are the most promising candidates for fault-tolerant quantum computation. Single qudit errors are typically modeled as Pauli operators, to which general errors are converted via randomizing methods. In this Letter, we quantify remaining correlations after syndrome measurement for a qudit 2D surface code subject to non-Pauli errors via loops on the lattice, using percolation theory.

Stress indicators in minorities with multiple sclerosis.

Black Americans with multiple sclerosis (MS) experience higher levels of disease-related disability compared to White Americans (Marrie et al., 2006). Comorbidities such as depression and anxiety, which are underdiagnosed and undertreated in this population, negatively impact quality of life and treatment outcomes for people living with multiple sclerosis (plwMS) (D'Alisa et al.

The role of cytology in the investigation and management of pancreatobiliary lesions with a transition towards a standardised reporting system: An institutional perspective.

Pancreatobiliary pathology encompasses all benign and malignant disease within the pancreas and biliary tract; pancreatic cancer is currently the seventh leading cause of death worldwide accounting for approximately 466,000 deaths per annum. Cytology has been increasingly used in the physician's toolbox to provide an accurate, non-invasive and cost-effective modality for the diagnosis of pancreatobiliary lesions. The cytological appearance alone may be insufficient to establish the diagnosis and it is crucial for effective clinicopathological correlation in a multidisciplinary setting, highlighting the vital role of the pathologist to ensure effective and quality care.