Results 31 to 40 of about 1,765,999 (278)

EDNRB‐dependent endothelin signaling reduces proliferation and promotes proneural‐to‐mesenchymal transition in gliomas

open access: yesMolecular Oncology, EarlyView.
Glioma cells mainly express the endothelin receptor EDNRB, while EDNRA is restricted to a perivascular tumor subpopulation. Endothelin signaling reduces glioma cell proliferation while promoting migration and a proneural‐to‐mesenchymal transition associated with poor prognosis. This pathway activates Ca2+, K+, ERK, and STAT3 signalings and is regulated
Donovan Pineau   +36 more
wiley   +1 more source

HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering

open access: yesApplied Sciences, 2023
In this paper, we predict money laundering in Bitcoin transactions by leveraging a deep learning framework and incorporating more characteristics of Bitcoin transactions.
Jialin Song, Yijun Gu
doaj   +1 more source

An overview to Software Architecture in Intrusion Detection System [PDF]

open access: yes, 2014
Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network.
Bahrami, Mehdi, Bahrami, Mohammad
core   +1 more source

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

open access: yesMolecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov   +3 more
wiley   +1 more source

A lightweight Xray-YOLO-Mamba model for prohibited item detection in X-ray images using selective state space models

open access: yesScientific Reports
X-ray image-based prohibited item detection plays a crucial role in modern public security systems. Despite significant advancements in deep learning, challenges such as feature extraction, object occlusion, and model complexity remain.
Kai Zhao   +3 more
doaj   +1 more source

Inhibiting crypto‐ransomware on windows platforms through a honeyfile‐based approach with R‐Locker

open access: yesIET Information Security, 2022
After several years, crypto‐ransomware attacks still constitute a principal threat for individuals and organisations worldwide. Despite the fact that a number of solutions are deployed to fight against this plague, one main challenge is that of early ...
José Antonio Gómez‐Hernández   +2 more
doaj   +1 more source

Revisiting Mission‐Oriented Cancer Research to tackle the increasing burden of cancer in Europe–a policy perspective

open access: yesMolecular Oncology, EarlyView.
Translational cancer research and its implementation through competitively selected Comprehensive Cancer Centers across Europe should be the primary policy focus for addressing the increasing cancer burden in Europe and counteract the present main strategy to convert cancer to a chronic disease.
Manuel Heitor   +2 more
wiley   +1 more source

Introduction to Security Onion [PDF]

open access: yes, 2016
Security Onion is a Network Security Manager (NSM) platform that provides multiple Intrusion Detection Systems (IDS) including Host IDS (HIDS) and Network IDS (NIDS). Many types of data can be acquired using Security Onion for analysis.
Heenan, Ross, Moradpoor, Naghmeh
core  

A trustworthy mobile agent infrastructure for network management [PDF]

open access: yes, 2007
Despite several advantages inherent in mobile-agent-based approaches to network management as compared to traditional SNMP-based approaches, industry is reluctant to adopt the mobile agent paradigm as a replacement for the existing manager-agent model ...
Koliousis, A., Sventek, J.S.
core   +1 more source

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Home - About - Disclaimer - Privacy