Recurrent Diffuse Tenosynovial Giant Cell Tumor of the Temporomandibular Joint.

Purpose: Recurrent diffuse-type tenosynovial giant cell tumor: Clinical presentation, Diagnosis, and Management.

Background: Tenosynovial giant cell tumor (TGCT), is a neoplasm arising from synovial joints, bursae, or tendon sheaths. The initial clinical symptoms are vague and non-diagnostic.

Disentangling Sources of Momentum Fluctuations in Xe+Xe and Pb+Pb Collisions with the ATLAS Detector.

High-energy nuclear collisions create a quark-gluon plasma, whose initial condition and subsequent expansion vary from event to event, impacting the distribution of the eventwise average transverse momentum [P([p_{T}])]. Disentangling the contributions from fluctuations in the nuclear overlap size (geometrical component) and other sources at a fixed size (intrinsic component) remains a challenge. This problem is addressed by measuring the mean, variance, and skewness of P([p_{T}]) in ^{208}Pb+^{208}Pb and ^{129}Xe+^{129}Xe collisions at sqrt[s_{NN}]=5.

The impact of uterine position on conception modes and perinatal outcomes in nulliparous patients.

Purpose: Retroverted uterus affects 15-20% of patients. While typically not a cause for concern, some studies suggest a relationship between a retroverted uterus and subfertility. Study objective was to investigate the association between uterine position and spontaneous conception rates, as well as potential risks for adverse pregnancy outcomes in nulliparous patients.

A novel image segmentation method based on spatial autocorrelation identifies A-type potassium channel clusters in the thalamus.

Unsupervised segmentation in biological and non-biological images is only partially resolved. Segmentation either requires arbitrary thresholds or large teaching datasets. Here, we propose a spatial autocorrelation method based on Local Moran's coefficient to differentiate signal, background, and noise in any type of image.