Results 291 to 300 of about 1,142,874 (336)

Probing Early Particle‐Cell Membrane Interactions via Single‐Cell and Single‐Particle Interaction Analysis

Advanced Functional Materials, EarlyView.
The pre‐internalization phase of endocytosis remains poorly characterized at single‐cell levels. Single‐cell pre‐internalization mechanics are investigated using advanced robotic techniques. Cancer cells exhibit biphasic adhesion – rapid initial binding followed by reinforcement – while fibroblasts show gradual engagement.
Houari Bettahar, Christos Tapeinos, Oğulcan Işıtman, Carmine D'Amico, Alexandra Correia, Hélder A. Santos, Quan Zhou   +6 more
wiley   +1 more source

A robust intrusion detection system based on a shallow learning model and feature extraction techniques. [PDF]

PLoS One
E L Asry C, Benchaji I, Douzi S, E L Ouahidi B, E L Ouahidi B.   +4 more
europepmc   +1 more source

A Universal Way to Manipulate Droplet via Light‐Fueled Thermocapillary Convection

Advanced Functional Materials, EarlyView.
A non‐contact light‐induced droplet manipulation strategy fueled by mid‐infrared (MIR) light irradiation is introduced. No additional additives and/or complex substrate are required. Here, thermocapillary convection, directly generated by temperature gradient at outer surface of droplet via localized surface heating, plays a key role to propel the ...
Hyesun Hwang, Yinggang Zhao, Kun Li, Jaeseung Lee, Cunjing Lv, Sanghyuk Wooh   +5 more
wiley   +1 more source

A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm. [PDF]

PLoS One
Hashmi A, Barukab OM, Hamza Osman A.
europepmc   +1 more source

Metal Nanoclusters for Cancer Imaging and Treatment

Advanced Functional Materials, EarlyView.
This review aims to provide a comprehensive summary and discussion of the core–shell design capabilities of metal nanoclusters (NCs) at the atomic level for cancer imaging and treatment. It offers essential insights into the design principles of metal NCs while also encouraging the exploration of other nanomaterials and their potential theranostic ...
Haiguang Zhu, Ziping Wang, Qiaofeng Yao, Ping Zhang, Jianping Xie, Xun Yuan   +5 more
wiley   +1 more source

Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory. [PDF]

Sensors (Basel)
Ullah F, Turab A, Ullah S, Cacciagrano D, Zhao Y.   +4 more
europepmc   +1 more source

Antibody‐Programmable Bimetallic Nanozymes for Transcriptional Blockade Therapy in HER2/ER‐Positive Breast Cancer

Advanced Functional Materials, EarlyView.
Zr‐Fe MOF@Ribociclib@Herceptin (ZFRH) efficiently targets/kills Human Epidermal Growth Factor Receptor 2/Estrogen Receptor‐positive (HER2/ER+) breast cancer cells. It combats tumors by: 1) Elevating ROS, altering redox balance; 2) Inhibiting transcription; 3) Inducing pyroptosis.
Hongkun Miao, Tong Ye, Mingjiang Liu, Jingchao Gao, Lian Tan, Qian Dong, Qingbo Lv, Qianqian Ye, Yu Wang   +8 more
wiley   +1 more source

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Machine Learning Based Intrusion Detection System

2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS), 2023
In today's digital landscape, the increasing frequency and sophistication of cyberattacks have highlighted the necessity for robust intrusion detection systems (IDS) to safe- guard sensitive data and critical infrastructure.
R. Udayakumar, D. Balakrishnan, Y. V. Reddy, P. B. E. Prabhakar, A. Thilaka   +4 more
semanticscholar   +1 more source

An Efficient Federated Learning System for Network Intrusion Detection

IEEE Systems Journal, 2023
Network intrusion detection is used to detect unauthorized activities on a digital network, with which the cybersecurity teams of organizations can then kick-start prevention protocols to protect the security of their networks and data.
Jianbin Li, Xin Tong, Jinwei Liu, Long Cheng   +3 more
semanticscholar   +1 more source