Results 231 to 240 of about 83,821 (294)

An adaptive multi-scale spatio-temporal graph network for robust MOOC dropout prediction. [PDF]

Sci Rep
Duan Y, Chen X.
europepmc   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

Exoscope versus microscope in spine surgery: A meta-analysis based on procedure-specific subgroup analysis. [PDF]

Neurosurg Rev
Benato A, Creatura D, Palombi D, Barrey CY.   +3 more
europepmc   +1 more source

Decoupling the Impact of Deep‐Trap and Band‐Tail States on PbS Quantum Dot Photodetectors via Alkylamine Engineering

Advanced Materials Technologies, EarlyView.
Band‐tail and deep trap states are effectively disentangled through the use of selective alkylamine additives. PA‐driven 2D ordering narrows band tails, while HA enhances halide passivation and Pb coordination to suppress deep traps. A comparative study of their CQD short‐wave infrared (SWIR) photodetectors further reveals whether band‐tail states or ...
Huaying Zhong, Fan Fang, Jasper Guido Ebel, Qian Chen, Lixin Li, Kaiyu Luo, Yihan Song, Andong Zhong, Haibo Zhu, Xiao Wang, Kaijie Ling, Yong Xia, Haodong Tang, Wei Chen, Peter Müller‐Buschbaum   +14 more
wiley   +1 more source

Deep learning prediction model based on multi-modal transvaginal ultrasound scan images for endometrial cancer. [PDF]

Cancer Imaging
Liu X, Wen Y, Liu J, Lv W, Wu Y, Gao Y, Zeng S, Li G, Xia Y, Shi S, Xu Q, Jiao X, Gong W, Ma D, Zhao GN, Fang Y, Cheng X, Xu XY, Liu D, Gao Q.   +19 more
europepmc   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Elevated Epicardial Adipose Tissue and Ischemic Stroke Risk: A Systematic Review and Meta-Analysis. [PDF]

Medicina (Kaunas)
Mahadevan A, Pinnamaneni M, Krishnakumar M, Mishra T, Adrejiya P, Sanjeevi A, Patel BM, Patel S, Patel R, Jena N, Vyas A, Desai R.   +11 more
europepmc   +1 more source

Aluminum Oxynitride‐Engineered Transparent Aluminum Nitride Resistive Memory for Low‐Leakage Multilevel Switching in Micro‐LED Pixels

Advanced Materials Technologies, EarlyView.
An AlON interfacial layer is engineered within an AlN switching layer to enable transparent RRAM with four stable resistance states. The device achieves low‐voltage multilevel switching and a high HRS, allowing precise grayscale modulation and preventing light leakage in micro‐LEDs operated at VDD = 2.7 V.
Sung Keun Choi, Ho Jin Lee, Seok Hee Hong, Jae Seong Park, Chan Ho Ryu, Kyeong Heon Kim, Tukaram D. Dongale, Tae Geun Kim   +7 more
wiley   +1 more source

The Crossroads of Neuroinflammation and Biomarkers in Multiple Sclerosis: A Systematic Review. [PDF]

Cells
Gavrilă MG, Albu CV, Albu BC, Burada E, Sandu RE, Surugiu R.   +5 more
europepmc   +1 more source

The Evolution of Laser‐Induced Damage Patterns in Polymer Stabilized Liquid Crystals: Insights From Morphological Characterization and Thermo‐Driven Simulations

Advanced Optical Materials, EarlyView.
A dual‐domain PSLC architecture enables direct comparison of alignment‐dependent laser damage within a single device. Crack‐like and seal‐like morphologies emerge under different damage conditions, and their evolution is interpreted through quantitative image analysis and heat‐driven simulations.
Dengcheng Chen, Zoey S. Davidson, Brian P. Radka, Selim Elhadj, Liang‐Chy Chien   +4 more
wiley   +1 more source