Results 281 to 290 of about 904,034 (356)
Environmental sources of Cryptococcus neoformans species complex in Kampala, Uganda: A preliminary study. [PDF]
Achan B+7 more
europepmc +1 more source
This study presents an Internet of Things‐based stormwater monitoring framework piloted at the University of Maryland campus to support Municipal Separate Stormwater Sewer System compliance and adaptive planning. Developed with key campus stakeholders, the framework integrates real‐time sensor deployment, data‐informed insights on runoff and water ...
Qianyao Si+16 more
wiley +1 more source
The AADR Visualizer: An ArcGIS Online Visualizer for ancient human DNA from the Allen Ancient DNA Resource. [PDF]
Yi W+4 more
europepmc +1 more source
The Necessity of Dynamic Workflow Managers for Advancing Self‐Driving Labs and Optimizers
We assess the maturity and integration readiness of key methodologies for Materials Acceleration Platforms, highlighting the need for dynamic workflow managers. Demonstrating this, we integrate PerQueue into a color‐mixing robot, showing how flexible orchestration improves coordination and optimization.
Simon K. Steensen+6 more
wiley +1 more source
Climate and water-table levels regulate peat accumulation rates across Europe. [PDF]
Swindles GT+35 more
europepmc +1 more source
Teleoperated Magnetic Endoscopy: A Case Study and Perspective
This perspective highlights the recent research efforts in robotic magnetic platforms for telesurgery and their translation to clinical settings for endoscopic procedures. To demonstrate this approach, this work also introduces an in vivo gastroscopy performed in a porcine model, during which an operator in Zurich, Switzerland, successfully controls a ...
Alexandre Mesot+8 more
wiley +1 more source
Implementing dynamic distance-time conversion factors through real-time traffic data for enhancing urban mobility and service accessibility in South Korea. [PDF]
Kim S, Kim T, Jeon J.
europepmc +1 more source
On‐Device Brain Tumor Classification from MR Images Using Smartphone
Herein, various deep learning models are trained for brain tumor classification task, and model performances are compared. The performance is further improved by using the proposed preprocessing algorithm before training. The MobileViT model, which is the best‐performing model in terms of balance between inference time and success rate, is integrated ...
Halil Ibrahim Ustun+3 more
wiley +1 more source