Results 131 to 140 of about 3,494,638 (328)

Multi‐Material Gradient Printing Using Meniscus‐enabled Projection Stereolithography (MAPS)

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
MAPS is a new vat‐free printing technique that utilizes programmed delivery of resin droplets with custom formulations to enable multi‐material gradient printing of 3D structures with user‐defined variations in mechanical stiffness, opacity, surface energy, cell densities, and magnetic properties. Abstract Light‐based additive manufacturing methods are
Puskal Kunwar, Arun Poudel, Ujjwal Aryal, Rui Xie, Zachary J. Geffert, Haven Wittmann, Daniel Fougnier, Tsung Hsing Chiang, Mathew M. Maye, Zhen Li, Pranav Soman   +10 more
wiley   +1 more source

Development of a machine learning-based interface for insulin dependency prediction using clinical data

Scientific Reports
Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic system using a real-world clinical dataset of 100 ...
Vinod Kumar Yata, Om Pritam Das, B. V. S. Lakshmi, M. Vaishnavi, Mohd Arif Uddin, Aparna Srikantam, Sarad Pawar Naik Bukke   +6 more
doaj   +1 more source

A transformer based multi task learning approach to multimodal hate speech detection

Natural Language Processing Journal
Online hate speech has become a major social issue in recent years, affecting both individuals and society as a whole. Memes are a multimodal kind of internet hate speech that is growing more common. Online memes are often entertaining and harmless.
Prashant Kapil, Asif Ekbal
doaj   +1 more source

AI‐Enhanced Gait Analysis Insole with Self‐Powered Triboelectric Sensors for Flatfoot Condition Detection

Advanced Materials Technologies, Volume 10, Issue 6, March 18, 2025.
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek, Sabyrzhan Oralkhan, Adeliya Anash, Nuriya Nurbergenova, Azat Balapan, Azamat Yeshmukhametov, Yeltay Rakhmanov, Gulnur Kalimuldina   +7 more
wiley   +1 more source

Mitochondria‐Specific Protein Delivery by Protease‐Triggered Release in Plants with Single‐Walled Carbon Nanotubes

Advanced Materials Technologies, EarlyView.
Polymer‐coated carbon nanotubes were engineered as protease‐responsive nanocarriers for protein delivery in intact plants. GFP cargo can be released by cytosolic phytaspase cleavage and subsequently targeted to mitochondria via an N‐terminal sequence, enabling controlled intracellular protein delivery without tissue damage and demonstrating stable ...
Simon Sau Yin Law, Takehiro Suzuki, Tsuyohiko Fujigaya, Keiji Numata   +3 more
wiley   +1 more source

Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma

European Journal of Medical Research
Background There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning models.
Gizem Özçıbık Işık, Burcu Kılıç, Ezel Erşen, Mehmet Kamil Kaynak, Akif Turna, Onur Sefa Özçıbık, Tülay Yıldırım, Hasan Volkan Kara   +7 more
doaj   +1 more source

Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring

Advanced Materials Technologies, EarlyView.
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim, Yu‐Jen Cheng, Tianyi Li, Nathan White, Xu Wang, Kristyn Ringgold, Lauren Neidig, Younghoon Kwon, Jae‐Hyun Chung   +8 more
wiley   +1 more source

MOESM1 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

, 2020
Additional file 1 Use case A2 — Positively imbalanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case A2 positively imbalanced dataset. (b) Pie chart
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source

Quasi‐Bound States in the Continuum on the Bloch‐Surface‐Wave Platform for Sensing With Simultaneous High Q‐Factor and High Sensitivity

Advanced Optical Materials, EarlyView.
Quasi‐bound states in the continuum on the Bloch surface wave platform are demonstrated, exhibiting high Q‐factors due to strongly suppressed radiative losses and high sensitivity arising from the large evanescent field inherent to the surface wave. The resonance shows clear shifts after each surface molecular functionalization step, highlighting its ...
Bo‐Wei Lin, Mu‐Hsin Chen, Yang‐Chun Lee, Tang Dang, Di Xing, Hiroaki Matsui, Jean‐Jacques Delaunay   +6 more
wiley   +1 more source

MOESM3 of The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

, 2020
Additional file 3 Use case B2 — Balanced dataset. (a) Barplot representing accuracy, F1 score, and normalized Matthews correlation coefficient (normMCC = (MCC + 1) / 2), all in the [0, 1] interval, where 0 is the worst possible score and 1 is the best possible score, applied to the Use case B2 balanced dataset.
Chicco, Davide, Jurman, Giuseppe
openaire   +1 more source