Tracking response flexibility in high-stakes summative assessments: A longitudinal student perspective.

Purpose: The ability to perceive assessments as learning instruments calls upon flexible perspective taking and flexible responding. We investigated the maturation of the student perspective on assessment as learning and explored the (in)flexibility of student responses during their development towards graduation.

Methods: In a longitudinal study with an extensive 6-year timeframe, we tracked the development of 12 medical students.

Assessing upper limb functional use in daily life using accelerometry: A systematic review.

Background: Upper limb dysfunctions are common and disabling in daily life. Accelerometer data are commonly used to describe upper limb use. However, different data analyzing methods are used to describe or classify upper limb use.

Expression patterns of H3K27me3 for differentiation of breast fibroadenomas and phyllodes tumors.

Phyllodes tumors (PTs) are rare breast tumors showing overlapping features with fibroadenomas (FAs). Diagnosis on small biopsies is challenging. New diagnostic markers are needed.

Dissecting the immune infiltrate of primary luminal B-like breast carcinomas in relation to age.

The impact of aging on the immune landscape of luminal breast cancer (Lum-BC) is poorly characterized. Understanding the age-related dynamics of immune editing in Lum-BC is anticipated to improve the therapeutic benefit of immunotherapy in older patients. To this end, here we applied the 'multiple iterative labeling by antibody neo-deposition' (MILAN) technique, a spatially resolved single-cell multiplex immunohistochemistry method.

A data-driven approach to detect upper limb functional use during daily life in breast cancer survivors using wrist-worn sensors.

To gain insights into the impact of upper limb (UL) dysfunctions after breast cancer treatment, this study aimed to develop a temporal convolutional neural network (TCN) to detect functional daily UL use in breast cancer survivors using data from a wrist-worn accelerometer. A pre-existing dataset of 10 breast cancer survivors was used that contained raw 3-axis acceleration data and simultaneously recorded video data, captured during four daily life activities. The input of our TCN consists of a 3-axis acceleration sequence with a receptive field of 243 samples.