Results 41 to 50 of about 177,571 (274)
Clinical Insights Into Hypercalcemia of Malignancy in Childhood
ABSTRACT Hypercalcemia of malignancy (HCM) is a rare but life‐threatening metabolic emergency in children that occurs in less than 1% of pediatric cancer cases, with a reported incidence ranging from 0.4% to 1.0% across different studies. While it is observed in 10%–20% of adult malignancies, pediatric HCM remains relatively uncommon.
Hüseyin Anıl Korkmaz
wiley +1 more source
Intravitreal GD2‐Specific Chimeric Antigen Receptor T‐Cell Therapy for Refractory Retinoblastoma
ABSTRACT Effective treatments for advanced, treatment‐resistant retinoblastoma (RB) remain limited. GD2‐specific chimeric antigen receptor (CAR) T cells show potent antitumor activity with minimal toxicity but have not previously been evaluated in RB.
Subongkoch Subhadhirasakul +13 more
wiley +1 more source
Intrusion Detection Algorithm Based on Random Forest and Artificial Immunity [PDF]
Traditional intrusion detection methods have low detection rates for Probe,U2R,R2L and other types of network intrusion attacks,leading to misdetection and missed detection of intrusion behavior.Therefore,this paper proposes an intrusion detection ...
ZHANG Ling, ZHANG Jianwei, SANG Yongxuan, WANG Bo, HOU Zexiang
doaj +1 more source
Protection of an intrusion detection engine with watermarking in ad hoc networks [PDF]
Mobile ad hoc networks have received great attention in recent years, mainly due to the evolution of wireless networking and mobile computing hardware.
Douligeris, C. +2 more
core
ABSTRACT Background The management of clinically apparent single lesions or oligofocal nephroblastomatosis, a facultative precursor of nephroblastoma, remains debated. Methods We retrospectively analyzed 37 patients with clinically apparent single or oligofocal nephroblastomatosis (two to three lesions per kidney) among 2347 patients registered between
Nils Welter +17 more
wiley +1 more source
Benchmark Tests for the Model-Checking-Based IDS Algorithms
A fundamental concern for the security community is to identify the comprehensive comparable performance of various intrusion detection algorithms which are based on the Model Checking (MC) techniques. To address this open issue, we conduct the benchmark
Miaolei Deng +4 more
doaj +1 more source
Unsupervised Anomaly Detection with Unlabeled Data Using Clustering [PDF]
Intrusions pose a serious security risk in a network environment. New intrusion types, of which detection systems are unaware, are the most difficult to detect.
Abdullah, Abdul Hanan +2 more
core
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
In order to cope with ever-evolving and increasing cyber threats, intrusion detection systems have become a crucial component of cyber security. Compared with signature-based intrusion detection methods, anomaly-based methods typically employ machine ...
Haonan Tan +3 more
doaj +1 more source

