Results 101 to 110 of about 524,166 (313)

Stratum Corneum‐Inspired Zwitterionic Hydrogels with Intrinsic Water Retention and Anti‐Freezing Properties for Intelligent Flexible Sensors

Advanced Functional Materials, EarlyView.
A novel stratum corneum‐inspired zwitterionic hydrogel is developed for intelligent, flexible sensors, featuring intrinsic water retention and anti‐freezing properties. The quasi‐gel, composed of hygroscopic polymers and bound water, maintains its softness across a wide range of humidity.
Meng Wu, Chenyu Qiao, Peng‐Fei Sui, Jing‐Li Luo, Zuoli Li, Yi Cao, Renjun Pei, Xuwen Peng, Hongbo Zeng   +8 more
wiley   +1 more source

XGBoost, a Machine Learning Method, Predicts Neurological Recovery in Patients with Cervical Spinal Cord Injury

Neurotrauma Reports, 2020
The accurate prediction of neurological outcomes in patients with cervical spinal cord injury (SCI) is difficult because of heterogeneity in patient characteristics, treatment strategies, and radiographic findings.
Tomoo Inoue, Daisuke Ichikawa, Taro Ueno, Maxwell Cheong, Takashi Inoue, William D. Whetstone, Toshiki Endo, Kuniyasu Nizuma, Teiji Tominaga   +8 more
doaj   +1 more source

Scaling‐Up of Structural Superlubricity: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying, Xiang Gao, Diana Berman, Oded Hod, Michael Urbakh   +4 more
wiley   +1 more source

Learning Optimal Dynamic Treatment Regime from Observational Clinical Data through Reinforcement Learning

Machine Learning and Knowledge Extraction
In medicine, dynamic treatment regimes (DTRs) have emerged to guide personalized treatment decisions for patients, accounting for their unique characteristics. However, existing methods for determining optimal DTRs face limitations, often due to reliance
Seyum Abebe, Irene Poli, Roger D. Jones, Debora Slanzi   +3 more
doaj   +1 more source

Carbon Nanotube 3D Integrated Circuits: From Design to Applications

Advanced Functional Materials, EarlyView.
As Moore's law approaches its physical limits, carbon nanotube (CNT) 3D integrated circuits (ICs) emerge as a promising alternative due to the miniaturization, high mobility, and low power consumption. CNT 3D ICs in optoelectronics, memory, and monolithic ICs are reviewed while addressing challenges in fabrication, design, and integration.
Han‐Yang Liu, Yun Sun, Dong‐Ming Sun, Hui‐Ming Cheng   +3 more
wiley   +1 more source

Extremely Fast Decision Tree [PDF]

arXiv, 2018
We introduce a novel incremental decision tree learning algorithm, Hoeffding Anytime Tree, that is statistically more efficient than the current state-of-the-art, Hoeffding Tree. We demonstrate that an implementation of Hoeffding Anytime Tree---"Extremely Fast Decision Tree", a minor modification to the MOA implementation of Hoeffding Tree---obtains ...
arxiv  

Roulette‐Inspired Physical Unclonable Functions: Stochastic yet Deterministic Multi‐Bit Patterning through the Solutal Marangoni Effect

Advanced Functional Materials, EarlyView.
Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho, Jeongsu Pyeon, Hanhwi Jang, Gwangsik Mun, Jaimin Kang, Byong‐Guk Park, Geon Yeong Kim, Hyoungsoo Kim, Yeon Sik Jung   +8 more
wiley   +1 more source

Multi‐Pathway Upconversion Emission in Symmetry‐Broken Nanocavities: Broadband Multiresonant Enhancement and Anti‐Correlated Interfacial Sensitivity

Advanced Functional Materials, EarlyView.
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia, Yuming Zhao, Meitong Nie, Benjamin Pittelkau, Aditya Garg, Junyeob Song, Wenqi Zhu, Henri Lezec, Amit Agrawal, Wei Zhou   +9 more
wiley   +1 more source

A Machine Learning Approach Using Survival Statistics to Predict Graft Survival in Kidney Transplant Recipients: A Multicenter Cohort Study

Scientific Reports, 2017
Accurate prediction of graft survival after kidney transplant is limited by the complexity and heterogeneity of risk factors influencing allograft survival.
Kyung Don Yoo, Junhyug Noh, Hajeong Lee, Dong Ki Kim, Chun Soo Lim, Young Hoon Kim, Jung Pyo Lee, Gunhee Kim, Yon Su Kim   +8 more
doaj   +1 more source

CORR Synthesis: Can Decision Tree Learning Advance Orthopaedic Surgery Research? [PDF]

Clin Orthop Relat Res, 2023
Wilson A.
europepmc   +1 more source