Results 51 to 60 of about 27,398 (301)
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo +10 more
wiley +1 more source
Comparing Different Machine Learning Techniques in Predicting Diabetes on Early Stage
One of the diseases that is constantly spreading and is estimated to cause a significant number of deaths worldwide is diabetes mellitus. It is determined by the quantity of a blood sugar molecule made from glucose.
Shweta Yadu +2 more
doaj +1 more source
A Super-Bagging Method for Volleyball Action Recognition Using Wearable Sensors
Access to performance data during matches and training sessions is important for coaches and players. Although there are many video tagging systems available which can provide such access, these systems require manual effort.
Fasih Haider +6 more
doaj +1 more source
In this story, I describe, from my perspective as a resident, working with a surgeon to resuscitate a woman who has suffered an avulsion of her pulmonary artery. The patient, a victim of a collision with an intoxicated driver, arrived at the hospital as I was caring for another patient who was undergoing his tenth admission for detoxification.
openaire +2 more sources
Receptor‐Free Identification of Toxic Gases Enabled by Hygroscopic Aqueous Salt Films
Water as a gas sensor coating sounds impossible—until it stops evaporating. Here, hygroscopic salt solutions (LiCl, LiBr, H3PO4) form non‐drying aqueous films on CNT chemiresistors under ambient air. Gases partition into these liquid layers, sometimes transforming into water, and generate salt‐specific resistance fingerprints across a four‐channel ...
Seongwoo Lee +5 more
wiley +1 more source
Enhancing Migraine Classification Through Machine Learning: A Comparative Study of Ensemble Methods
A migraine is a common and complex neurological disorder affecting more than 90% of people globally. Traditional migraine diagnostic and classification methods are time-intensive and prone to error.
Raniya R. Sarra +3 more
doaj +1 more source
Ensemble neural networks using interval neutrosophic sets and bagging
This paper presents an approach to the problem of binary classification using ensemble neural networks based on interval neutrosophic sets and bagging technique.
Wong, K.W. +5 more
core +1 more source
A compostable PGS soft surgical robot with interchangeable modules integrates transient Mo tactile and Si thermal sensors for dual feedback. The device preserves its function after clinical‐grade sterilization, demonstrates stable actuation and cardiac tissue grasping with real‐time in vivo pulsatile monitoring, and biodegrades post‐use with soil‐safe,
Minseong Chae +27 more
wiley +1 more source
Mechanoluminescent HOF Nanotransducers Enabled Sono‐Optogenetics in Parkinsonian Rats
We present a mechanoluminescent system utilizing porous hydrogen‐bonded organic frameworks (HOFs) as a toolkit for focused ultrasound‐triggered, non‐invasive light delivery to the deep brain in rats. This approach enables the specific activation of PV‐GPe neurons in dopamine‐depleted Parkinson's disease rat models, resulting in a comparable alleviation
Wenliang Wang +18 more
wiley +1 more source
Supervised Machine-Learning Predictive Analytics for National Quality of Life Scoring
For many years there has been a focus on individual welfare and societal advancement. In addition to the economic system, diverse experiences and the habitats of people are crucial factors that contribute to the well-being and progress of the nation. The
Maninder Kaur +3 more
doaj +1 more source

