Assessing web 2D user interface experiences in mixed reality.

Mixed Reality (MR) technologies have the potential to revolutionize how we interact with various fields, such as medicine, education, and communication. However, existing studies have not comprehensively investigated the overall performance of 2D user interfaces (UIs) in 3D spaces. There are gaps and questions that have not been properly addressed in the transition from 2D to 3D UIs.

Effectiveness of sequential lines of biologic and targeted small molecule drugs in psoriasis: A systematic review and meta-analysis.

To assess current evidence of effectiveness of sequential lines of biologic and targeted small molecule drugs for psoriasis beyond first line. A systematic search of the literature (Medline, Embase and bibliographic) was undertaken in October and December 2022 to find all studies assessing effectiveness of biologics and targeted small molecules when used beyond first-line in adults with psoriasis (PROSPERO CRD42022365298). Data extraction and a bias assessment (Risk Of Bias In Non-randomized Studies-of Interventions/Cochrane RoB2) were undertaken for all included studies.

Effectiveness of sequential lines of biologic and targeted small-molecule drugs in psoriatic arthritis: a systematic review.

Objective: To assess current evidence for effectiveness of sequential lines of biologic and targeted small-molecule disease-modifying anti-rheumatic drugs (b/tsDMARDs) when used beyond first-line for psoriatic arthritis (PsA).

Methods: A systematic search of the literature (Medline, Embase, bibliographic searches) was undertaken (October and December 2022) to find studies meeting the criteria of assessing effectiveness of b/tsDMARDs beyond first-line in adults with PsA (PROSPERO CRD42022365298). Risk of bias assessment was undertaken (ROBINS-I/Cochrane RoB2).

Online Sparse Representation Clustering for Evolving Data Streams.

Data stream clustering can be performed to discover the patterns underlying continuously arriving sequences of data. A number of data stream clustering algorithms for finding clusters in arbitrary shapes and handling outliers, such as density-based clustering algorithms, have been proposed. However, these algorithms are often limited in their ability to construct and merge microclusters by measuring the Euclidean distances between high-dimensional data objects, e.