Design of an Automated Mobile Phone-Based Reminder and Incentive System: Application in a Quasi-Randomized Controlled Trial to Improve the Timeliness of Childhood Vaccinations in Tanzania. [PDF]
van Zwetselaar M +7 more
europepmc +1 more source
The study presents a prototype novel workflow that utilizes artificial intelligence for the digitization of natural history collections, which would fit within a robotic‐integrated system. The work focuses on a collaborative‐robot (cobot) inspired workflow to digitize one of the largest collections housed at the Natural History Museum UK: pinned ...
Naifeng Zhang +4 more
wiley +1 more source
Access to mobile phone, socio-economic equity and maternal and child healthcare utilization in Rwanda: analysis of demographic and health surveys. [PDF]
Tariku A +12 more
europepmc +1 more source
This study presents Hi‐LabSpermTracking, a long‐duration, expert‐annotated sperm motility dataset for detection and tracking. It evaluates You Only Look Once version 8, Real‐Time Detection Transformer, and Simple Online and Realtime Tracking with a Deep Association Metric in three scenarios. The mean ensemble method improves tracking performance. Sperm
Abdulsamet Aktas +5 more
wiley +1 more source
Brief communication: qualitative evaluation of call-for-life mHealth tool among youth living with HIV in Uganda. [PDF]
Naggirinya AB +6 more
europepmc +1 more source
Central Nervous System Participation in Phonation and Deglutition-Focus on the Nucleus Ambiguus.
Yoshikazu Yoshida
openalex +2 more sources
Flexible Strain Sensor Enabled by Back Propagation Neural Network for Gesture Recognition
By combining 3D printing with microfluidics, a flexible strain sensor has been developed in a convenient, safe, and effective way. Consisting of a conductive microfiber with a polyurethane shell and a liquid metal core, the sensor exhibits excellent conductivity and stretchability.
Yikai Wu +4 more
wiley +1 more source
Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang +5 more
wiley +1 more source

