Results 51 to 60 of about 1,070 (252)
Neural Network Models For Advanced Persistent Threat (APT) Detection
Advanced Persistent Threats (APTs) represent the most sophisticated tier of cyber-adversaries, characterized by their stealthy, multi-stage nature and long-term residency within high-value networks. Traditional signature-based detection systems and classical machine learning models frequently fail to identify APTs because these threats utilize \\\"low ...
openaire +2 more sources
Correcting the apparent priming effect resolves systematic biases in Asian rice fertilizer nitrogen accounting. Net soil retention drops below 7%, while 48% of fertilizer escapes, inflicting US$98.53 billion in annual reactive‐nitrogen damages. High‐resolution mapping uncovers N‐risk archetypes across 42% of the rice area, delivering a spatially ...
Xiuyun Liu +5 more
wiley +1 more source
A discovery strategy for APT anomaly based on homologous behavior analysis
As APT(advanced persistent threat)attacks are increasingly frequently,higher requirements for the detection of APT attacks were proposed.It was an effective method to early discover the attack behavior of APT based on homologous behavior analysis.Aiming ...
Yihan YU +3 more
doaj +2 more sources
The incorporation of oxygen vacancies (OVs) presents a viable strategy for fine‐tuning the photocatalytic prowess of BiOCl. A reliable hydrogen annealing reduction technique is employed to precisely design OVs, thereby optimizing the light absorption capacity, as well as the efficiency of carrier migration and separation in BiOCl.
Shuaihao Ma +11 more
wiley +1 more source
High Tree Species Diversity Promotes Thermal Enhancement Response of Microbial Carbon Use Efficiency
ABSTRACT Predicting soil carbon dynamics under warming is constrained by limited understanding of microbial thermal adaptation, particularly whether microbial carbon use efficiency (CUE) can adapt to warming and how plant diversity modulates this response. Using soils from a natural tree species diversity gradient in a subtropical forest, we combined a
Pengpeng Duan +11 more
wiley +1 more source
A nebulized nanoassembly alleviates radiation‐induced lung injury by reprogramming macrophages through coordinated ROS scavenging, NAD+ replenishment, and PPAR‐γ activation. Redox balance, mitochondrial homeostasis, and immune regulation are restored, revealing a microenvironment‐centered strategy for localized radioprotection.
Mingquan Gao +11 more
wiley +1 more source
ABSTRACT Gastric cancer (GC) is a major global health concern, as its prevention and treatment remain significant challenges. The 8‐oxoguanine (o8G) modification of circRNAs, alongside their capacity to orchestrate liquid‐liquid phase separation (LLPS) and autophagy, plays a pivotal role in driving tumor progression and determining therapeutic outcomes.
Lei Peng +8 more
wiley +1 more source
The ABCABC stacking sequence in 2D ZnIn2S4 nanosheets creates intrinsic non‐centrosymmetry, enabling robust piezocatalysis under weak mechanical agitation. The nanosheets achieve a H2O2 yield of 276.7 µmol g−1 h−1 and uranium extraction capacity of 763.2 mg g−1 via a dual mechanism of direct piezoreduction and in situ H2O2 complexation.
Song Li +6 more
wiley +1 more source
This study reports D34 as the first PROTAC degrader that targets the 3C protease of picornaviruses. D34 effectively degrades EV71 3C protease via the ubiquitin‐proteasome pathway. More importantly, D34 exhibits a high resistance barrier and shows broad‐spectrum antiviral activity against multiple picornaviruses, highlighting its potential as a novel ...
Weilong Deng +9 more
wiley +1 more source
Cyber Threat Inference Focused on Threat Class Sequence With Threat Class Sequence System
Cyber threats are becoming increasingly diverse, sophisticated, and intelligent, posing significant challenges in various domains. Among these threats, advanced persistent threat (APT) attacks are particularly concerning because of sustained and ...
Hyoungjun Kim +2 more
doaj +1 more source

