Predicting Age and Visual-Motor Integration Using Origami Photographs: Deep Learning Study.

Background: Origami is a popular activity among preschool children and can be used by therapists as an evaluation tool to assess children's development in clinical settings. It is easy to implement, appealing to children, and time-efficient, requiring only simple materials-pieces of paper. Furthermore, the products of origami may reflect children's ages and their visual-motor integration (VMI) development.

Diagnostic Accuracy and Interobserver Reliability of Rotator Cuff Tear Detection with Ultrasonography are Improved with Attentional Deep Learning.

Purpose: Improve the accuracy of one-stage object detection by modifying the YOLOv7 with Convolutional Block Attention Module (CBAM), known as YOLOv7-CBAM, which can automatically identify torn or intact rotator cuff tendon to assist physicians in diagnosing rotator cuff lesions through ultrasound.

Methods: Between 2020 and 2021, patients who experienced shoulder pain for over 3 months and had both ultrasound and MRI examinations were categorized into torn and intact group. To ensure balanced training, we included the same number of patients on both groups.

Observation of Medium-Induced Yield Enhancement and Acoplanarity Broadening of Low-p_{T} Jets from Measurements in pp and Central Pb-Pb Collisions at sqrt[s_{NN}]=5.02 TeV.

The ALICE Collaboration reports the measurement of semi-inclusive distributions of charged-particle jets recoiling from a high transverse momentum (high p_{T}) hadron trigger in proton-proton and central Pb-Pb collisions at sqrt[s_{NN}]=5.02  TeV. A data-driven statistical method is used to mitigate the large uncorrelated background in central Pb-Pb collisions.

Exploring the Neuroprotective Potential of Species: Insights into Radical Scavenging Capacity and Mechanisms against 6-OHDA-Induced Neurotoxicity.

In this study, we collected seven prevalent Taiwanese plants, including three species with synonymous characteristics, in order to assess their antioxidant phytoconstituents and radical scavenging capacities. Additionally, we compared their inhibitory activities on monoamine oxidase (MAO) and 6-hydroxydopamine (6-OHDA) auto-oxidation. Subsequently, we evaluated the neuroprotective potential of on 6-OHDA-induced nerve damage in SH-SY5Y cells and delved into the underlying neuroprotective mechanisms.