Results 91 to 100 of about 205,698 (344)

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

Advanced Functional Materials, EarlyView.
An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu, Hongyi Dou, Jeremy B. Gan, Cun Li, Xuanyu Sheng, Juanjuan Lu, Abhijeet Choudhury, Jialong Huang, Yizhi Zhang, Zhongxia Shang, Ye Cao, Xinghang Zhang, Haiyan Wang   +12 more
wiley   +1 more source

The relationship among bite force with facial dimensions and dental arches widths in a sample of Iraqi adults with Class I skeletal and dental relations

Journal of Baghdad College of Dentistry, 2014
Background: This study aimed to determine whether there is a relationship among the bite force with facial dimensions and dental arches in a sample of Iraqi adults with Class I skeletal and dental relations.
Abeer B Mahmoud
doaj  

The Effect Of Functıonal Open Bıte Treatment On Temporomandıbular Reactıon Force

Turkish Journal of Orthodontics, 1997
In this study, 10 patients with a chronological age of 10.40±1.12 years old who had a skeletal and dental open bite was studied on ten children of 10.40±1.12 years old by applying spring bite-block, The electromyographic (EMG) activities of anterior ...
Oktay Üner, Sevil Akkaya, Nilüfer Darendeliler, Seda Haydar   +3 more
doaj   +1 more source

Bite-force difference among obese adolescents in central Taiwan

Journal of the Formosan Medical Association, 2016
Maximal bite force of the jaw can cause thorough food chewing and result in good digestion. Bite force is related to the health of the masticatory muscles.
Kuo-Ting Sun, Shih-Chueh Chen, Yu-Fen Li, Hsien-Hsiung Chiang, Hung-Huey Tsai, Chi-Yuan Li, Ming-Gene Tu   +6 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Association between skeletal malocclusion, masseter muscle volume, and bite force: CBCT study [PDF]

Balkan Journal of Dental Medicine
Background/Aim: This study aimed to evaluate the masseter muscle volume and maximum bite force in individuals with different types skeletal malocclusion.
Okkesim Alime, Misirlioglu Melda
doaj   +1 more source

pH‐Tunable Material Properties of Glycine‐Rich Condensates from Tick Bioadhesive

Advanced Functional Materials, EarlyView.
This work studies the influence of pH on the phase separation behavior of a disordered glycine‐rich protein found in tick bioadhesive. The results show profound impact on the propensity of coacervation, condensate microstructure and viscosity, amphiphilicity of the peptides, and effective encapsulation of therapeutic molecules.
Manali Nandy, Udit Ghosh, Ketan A. Ganar, Hans Ippel, Ingrid Dijkgraaf, Siddharth Deshpande   +5 more
wiley   +1 more source

Muscle power during intravenous sedation

Japanese Dental Science Review, 2017
Intravenous sedation is effective to reduce fear and anxiety in dental treatment. It also has been used for behavior modification technique in dental patients with special needs. Midazolam and propofol are commonly used for intravenous sedation. Although
Nobuyuki Matsuura
doaj   +1 more source

Expanding Chemical Space of Nucleic Acid Nanoparticles for Tunable Antiviral‐Like Immunomodulatory Responses and Potent Adjuvant Activity

Advanced Functional Materials, EarlyView.
We introduce a nucleic acid nanoparticle (NANP) platform designed to be rrecognized by the human innate immune system in a regulated manner. By changing chemical composition while maintaining constant architectural parameters, we identify key determinants of immunorecognition enabling the rational design of NANPs with tunable immune activation profiles
Martin Panigaj, Hannah S. Newton, Jian Wang, Laxmi Pandey, Yelixza I. Avilla, Phong Nguyen, Morgan Chandler, Justin Halman, Yasmine Radwan, Stephanie Smith, Elijah Edmondson, Simone Difilippantonio, Chelsea Sanders, Bao Tran, Yongmei Zhao, Shaojun Xie, Edward Cedrone, Barry W. Neun, Meni Wanunu, Nikolay V. Dokholyan, Marina A. Dobrovolskaia, Kirill A. Afonin   +21 more
wiley   +1 more source

Transition from endemic behavior to eradication of malaria due to combined drug therapies: an agent-model approach [PDF]

, 2019
We introduce an agent-based model describing a susceptible-infectious-susceptible (SIS) system of humans and mosquitoes to predict malaria epidemiological scenarios in realistic biological conditions.
Lind, Pedro G., Louçã, Jorge, Mendes, António M., Sequeira, João   +3 more
core   +2 more sources