Results 61 to 70 of about 161,130 (264)

An Evolutionary Approach to Drug-Design Using Quantam Binary Particle Swarm Optimization Algorithm

, 2012
The present work provides a new approach to evolve ligand structures which represent possible drug to be docked to the active site of the target protein. The structure is represented as a tree where each non-empty node represents a functional group.
Chowdhury, Arkabandhu, Ghosh, Arnab, Ghosh, Avishek, Hazra, Jubin   +3 more
core   +1 more source

Dispersive Full‐Channel Jones Matrix Modulation in Elliptical Polarization Bases via a Single‐Layered Metasurface

Advanced Science, EarlyView.
This work presents a dispersive full‐channel Jones matrix modulation strategy using single‐layer metasurface. By synergizing wavelength dispersion engineering with elliptical polarization bases, independent control of four Jones matrix channels is achieved across multiple wavelengths.
Hairong He, Guangtao Cao, Shuhao Zhang, Hui Xu, Zhiquan Chen, Meiyu Peng, Yuting Jiang, Yueqiang Hu, Hui Jing, Huigao Duan, Hui Yang   +10 more
wiley   +1 more source

Pareto Joint Inversion of 2D magnetometric and gravity data- synthetic study [PDF]

E3S Web of Conferences, 2019
Pareto joint inversion for two or more data sets is an attractive and promising tool which eliminates target functions weighing and scaling, providing a set of acceptable solutions composing a Pareto front.
Danek Tomasz, Leśniak Andrzej, Miernik Katarzyna, Śledź Elżbieta   +3 more
doaj   +1 more source

Extracellular Vesicles in Autoimmune Diseases: From Diagnostic Biomarkers to Engineered Therapeutics

Advanced Science, EarlyView.
This review provides a systematic comparison of extracellular vesicles (EVs) from both mammalian and plant sources in the context of autoimmune diseases. It highlights their emerging roles as precision biomarkers and engineered therapeutic platforms.
Yufei Wu, Huiyuan Ma, Tinghui Zhu, Shuwei Huang, Manxi Lu, Qiong Wang, Zai‐Long Chi   +6 more
wiley   +1 more source

Calibration of WetSpa model using NSGA-II and PSO multi-objective optimization algorithms [PDF]

مهندسی منابع آب, 2019
Conceptual rainfall-runoff (RR) models, aiming at predicting stream flow from the knowledge of precipitation over a catchment, evapotranspiration, tempreture, and topography of the basin, have become basic and effective tools for flow regime simulation ...
Hosein Ghalkhani, f h, Farshad Koohian-Afzal, m sh   +3 more
doaj  

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

A polyoxyethylene sorbitan oleate modified hollow gold nanoparticle system to escape macrophage phagocytosis designed for triple combination lung cancer therapy via LDL-R mediated endocytosis

Drug Delivery, 2020
Presently, a combination of chemotherapy, radiotherapy, thermotherapy, and other treatments has become a hot topic of research for the treatment of cancer, especially lung cancer.
Yan Shen, Yun Xia, Ershuang Yang, Zixuan Ye, Yuan Ding, Jiasheng Tu, Yong Zhang, Pengcheng Xu   +7 more
doaj   +1 more source

Towards a Better Understanding of the Local Attractor in Particle Swarm Optimization: Speed and Solution Quality

, 2014
Particle Swarm Optimization (PSO) is a popular nature-inspired meta-heuristic for solving continuous optimization problems. Although this technique is widely used, the understanding of the mechanisms that make swarms so successful is still limited.
A. Gnezdilov, J.E. Onwunalu, K. Ramanathan, M. Clerc, M. Jiang, M.E.H. Pedersen, M.P. Wachowiak, Vanessa Lange, Y.W. Shang   +8 more
core   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Adaptive internal model control design for positioning control of a piezo-ceramic actuator with rate-dependent hysteresis

Mechanical Engineering Journal, 2015
This paper proposes the novel design of a positioning control system of a piezo-ceramic actuator. Piezo-ceramic actuators have been used extensively in many engineering applications which require high precision positioning. However, it is well known that
Dongbo LIU, Fumitake FUJII
doaj   +1 more source