Results 291 to 300 of about 197,062 (388)

Immunostimulatory DNA Tetrahedron‐Based Nanovaccine Combined With Immune Checkpoint PD‐1 Blockade for Boosting Systemic Immune Responses Against Oral Squamous Cell Carcinoma

Aggregate, EarlyView.
This study introduces an immunomodulatory DNA tetrahedral framework nucleic acid‐based nanovaccine tFNA‐CpG. The functionalized nanovaccine shows stable and well‐defined morphological characteristics and can be efficiently taken up by APCs. When combined with the immune checkpoint inhibitor anti‐PD‐1, it notably ameliorated the immunosuppressive ...
Xueting Yang, Yun Wang, Yan Yang, Sicheng Zhang, Dianri Wang, Yi Luo, Chunyan Shui, Yongcong Cai, Ruoyi Yang, Shuang Dong, Mu Yang, Yunfeng Lin, Chao Li   +12 more
wiley   +1 more source

Pattern Classification of Fabric Defects Using a Probabilistic Neural Network and Its Hardware Implementation using the Field Programmable Gate Array System

, 2017
Abul Hasnat, Anindya Ghosh, Amina Khatun, Santanu Halder   +3 more
openalex   +1 more source

Adaptive Fractional Hybrid Impedance Control of Rotary Series Elastic Actuator in Flat Terrains

Advanced Intelligent Systems, EarlyView.
This article presents an adaptive fractional hybrid impedance control (AFH‐IC) approach for rotary series elastic actuators operating on flat terrains. The proposed method integrates fractional‐order control, adaptive fuzzy logic, and particle swarm optimization to enhance torque tracking accuracy and robustness.
Muhammed Özdemir, Zafer Bingül
wiley   +1 more source

Evaluation of the Leon3 Soft-Core Processor within a Xilinx Radiation Hardened Field Programmable Gate Array.

, 2011
Mark Learn
openalex   +1 more source

Design Strategies of Capacitor‐Based Synaptic Cell for High‐Efficiency Analog Neural Network Training

Advanced Intelligent Systems, EarlyView.
This work explores the three‐transistors‐one‐capacitor synaptic cell design for analog in‐memory computing, focusing on improving performance and scalability in deep neural network (DNN) training. By optimizing transistor characteristics and proposing a novel cell design, challenges such as large cell areas and retention issues are addressed.
Byoungwoo Lee, Wonjae Ji, Hyejin Kim, Seungmin Han, Geonwoong Park, Pyeongkang Hur, Gilsu Jeon, Hyung‐Min Lee, Yoonyoung Chung, Junwoo Son, Yong‐Young Noh, Seyoung Kim   +11 more
wiley   +1 more source

Continuous real-time photoacoustic demodulation via field programmable gate array for dynamic imaging of zebrafish cardiac cycle. [PDF]

Biomed Opt Express, 2013
Mattison SP, Shelton RL, Maxson RT, Applegate BE.   +3 more
europepmc   +1 more source

Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source

Advanced Intelligent Systems, EarlyView.
Random telegraph noise (RTN) characteristics of memristor depend on external environmental conditions. To avoid these bias‐dependent characteristics, a true random number generator circuit using the RTN current fluctuations of memristor is presented with an edge detection circuit and counter, and bias independence is experimentally demonstrated for ...
Jinwoo Park, Hyunjoong Kim, Hyungjin Kim
wiley   +1 more source

Design, construction, and deployment of a multi-locus transcranial magnetic stimulation system for clinical use. [PDF]

Biomed Eng Online
Sinisalo H, Kahilakoski OP, Souza VH, Nieminen JO, Rantala R, Tommila T, Usuga I, Laine M, Ahola O, Gallegos E, Kozák G, Vetter DE, Rissanen I, Jooß A, Matsuda R, Soto AM, Li D, Humaidan D, Stenroos M, Roine T, Kičić D, Ziemann U, Ilmoniemi RJ.   +22 more
europepmc   +2 more sources

Advances in 3D and 4D Printing of Soft Robotics and Their Applications

Advanced Intelligent Systems, EarlyView.
This article summarizes the development of 3D‐printed soft robotics in the recent decade. The article discusses the printing capabilities of different additive manufacturing technologies in terms of soft polymers, multimaterial printability, soft robotic printing, and 4D printing.
Hao Liu, Changchun Wu, Senyuan Lin, James Lam, Ning Xi, Yonghua Chen   +5 more
wiley   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source