Results 61 to 70 of about 164,354 (261)
Molecular Oncology, EarlyView.The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg +43 more
wiley +1 more source
Study on utility optimization for randomized response mechanism
Tongxin xuebao, 2019 For the study of privacy-utility trade-off in local differential privacy,the utility optimization models of binary generalized random response mechanism for the case of differential privacy and approximate differential privacy were established.By graphic
Yihui ZHOU, Laifeng LU, Zhenqiang WU
doaj +2 more sources
Approximately Truthful Multi-Agent Optimization Using Cloud-Enforced Joint Differential Privacy [PDF]
, 2016 Multi-agent coordination problems often require agents to exchange state information in order to reach some collective goal, such as agreement on a final state value.
Egerstedt, M., Hale, M. T.
core
Lessons Learned: Quality Analysis of Optical Coherence Tomography in Neuromyelitis Optica
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Introduction Optical coherence tomography (OCT)‐derived retina measurements are markers for neuroaxonal visual pathway status. High‐quality OCT scans are essential for reliable measurements, but their acquisition is particularly challenging in eyes with severe visual impairment, as often observed in neuromyelitis optica spectrum disorders ...
Hadi Salih +40 more
wiley +1 more source
Network Localization of Fatigue in Multiple Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Fatigue is among the most common symptoms and one of the main factors determining the quality of life in multiple sclerosis (MS). However, the neurobiological mechanisms underlying fatigue are not fully understood. Here we studied lesion locations and their connections in individuals with MS, aiming to identify brain networks ...
Olli Likitalo +12 more
wiley +1 more source
Refractory Status Epilepticus Treated With Bilateral Pulvinar Deep Brain Stimulation—A Case Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT New‐onset refractory status epilepticus (NORSE) arises without an identifiable cause or prior epilepsy history, with a 16%–27% mortality rate and significant long‐term neurological sequelae. Neuromodulation such as deep brain stimulation (DBS) targeting the anterior and centromedian thalamic nuclei has shown promise when the traditional ...
Mengxuan Tang +16 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick +14 more
wiley +1 more source
MPLDP: Multi-Level Personalized Local Differential Privacy Method
IEEE AccessUsers have different sensitivities to different attributes for the same data set. Disregarding this can result in inadequate data confidentiality or reduced data availability.
Xuejie Feng, Chiping Zhang
doaj +1 more source
Local Differential Privacy for Deep Learning
IEEE Internet of Things Journal, 2020 The internet of things (IoT) is transforming major industries including but not limited to healthcare, agriculture, finance, energy, and transportation. IoT platforms are continually improving with innovations such as the amalgamation of software-defined networks (SDN) and network function virtualization (NFV) in the edge-cloud interplay. Deep learning
Pathum Chamikara Mahawaga Arachchige +5 more
openaire +3 more sources