Advanced Analysis of Cell Stability for Reliable SRAM PUFs

Author(s):  
Alison Hosey ◽  
Md. Tauhidur Rahman ◽  
Kan Xiao ◽  
Domenic Forte ◽  
Mohammad Tehranipoor
2013 ◽  
Author(s):  
Christina M. Kampman ◽  
Charles A. Mangio ◽  
Melinda Marsh

1962 ◽  
Vol 237 (4) ◽  
pp. 1198-1202
Author(s):  
W. Grady Smith ◽  
Mary Newman ◽  
Franklin R. Leach ◽  
L.M. Henderson

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
J. M. Miguel ◽  
M. Roldán ◽  
C. Pérez-Rico ◽  
M. Ortiz ◽  
L. Boquete ◽  
...  

AbstractThis study aimed to assess the role of multifocal visual-evoked potentials (mfVEPs) as a guiding factor for clinical conversion of radiologically isolated syndrome (RIS). We longitudinally followed a cohort of 15 patients diagnosed with RIS. All subjects underwent thorough ophthalmological, neurological and imaging examinations. The mfVEP signals were analysed to obtain features in the time domain (SNRmin: amplitude, Latmax: monocular latency) and in the continuous wavelet transform (CWT) domain (bmax: instant in which the CWT function maximum appears, Nmax: number of CWT function maximums). The best features were used as inputs to a RUSBoost boosting-based sampling algorithm to improve the mfVEP diagnostic performance. Five of the 15 patients developed an objective clinical symptom consistent with an inflammatory demyelinating central nervous system syndrome during follow-up (mean time: 13.40 months). The (SNRmin) variable decreased significantly in the group that converted (2.74 ± 0.92 vs. 4.07 ± 0.95, p = 0.01). Similarly, the (bmax) feature increased significantly in RIS patients who converted (169.44 ± 24.81 vs. 139.03 ± 11.95 (ms), p = 0.02). The area under the curve analysis produced SNRmin and bmax values of 0.92 and 0.88, respectively. These results provide a set of new mfVEP features that can be potentially useful for predicting prognosis in RIS patients.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Mayura V. Wagle ◽  
Stephin J. Vervoort ◽  
Madison J. Kelly ◽  
Willem Van Der Byl ◽  
Timothy J. Peters ◽  
...  

AbstractChronic stimulation of CD8+ T cells triggers exhaustion, a distinct differentiation state with diminished effector function. Exhausted cells exist in multiple differentiation states, from stem-like progenitors that are the key mediators of the response to checkpoint blockade, through to terminally exhausted cells. Due to its clinical relevance, there is substantial interest in defining the pathways that control differentiation and maintenance of these subsets. Here, we show that chronic antigen induces the anergy-associated transcription factor EGR2 selectively within progenitor exhausted cells in both chronic LCMV and tumours. EGR2 enables terminal exhaustion and stabilizes the exhausted transcriptional state by both direct EGR2-dependent control of key exhaustion-associated genes, and indirect maintenance of the exhausted epigenetic state. We show that EGR2 is a regulator of exhaustion that epigenetically and transcriptionally maintains the differentiation competency of progenitor exhausted cells.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 224020-224032
Author(s):  
Robin Noel Damas ◽  
Yongju Son ◽  
Myungseok Yoon ◽  
Sung-Yul Kim ◽  
Sungyun Choi

2013 ◽  
Vol 3 (4) ◽  
pp. 120-140 ◽  
Author(s):  
Carson K.S. Leung ◽  
Christopher L. Carmichael ◽  
Patrick Johnstone ◽  
David Sonny Hung-Cheung Yuen

In numerous real-life applications, large databases can be easily generated. Implicitly embedded in these databases is previously unknown and potentially useful knowledge such as frequently occurring sets of items, merchandise, or events. Different algorithms have been proposed for managing and retrieving useful information from these databases. Various algorithms have also been proposed for mining these databases to find frequent sets, which are usually presented in a lengthy textual list. As “a picture is worth a thousand words”, the use of visual representations can enhance user understanding of the inherent relationships among the mined frequent sets. Many of the existing visualizers were not designed to visualize these mined frequent sets. In this journal article, an interactive visual analytic system is proposed for providing visual analytic solutions to the frequent set mining problem. The system enables the management, visualization, and advanced analysis of the original transaction databases as well as the frequent sets mined from these databases.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
C Eriksson ◽  
A M Arnasson ◽  
N Lyyra ◽  
K R Madsen ◽  
T Torsheim ◽  
...  

Abstract At present there are different positions regarding trends in adolescent mental health. Can we trust trend data on the mental health among adolescents in the Nordic countries? Some question the trustworthiness of adolescent self-reports, which describe ordinary daily hassles as health complaints, which cannot be interpreted as signs of mental disorders. In addition, today there is a more open climate for talking about mental issues, which can lead to an overestimation of the prevalence of mental disorders. Statistics on mental health services statistics report increased psychopharmaceutic prescriptions as well as consumption of professional care. Such data argues for increased governmental investment in adolescent mental health services. Is this pattern due to increased availability of mental health services and/or increased prevalence of mental health problems in the adolescent population? A concern is that data availability influences policymaking and allocation of resources. If there is an emphasis on self-reported data from adolescents that may an increased risk of medicalization of young people's dealing with their daily lives. If on the other hand the reported problems among young people is disregarded, this would be against the UN Child Convention. The survey data has important qualities especially if the data is analysed and reported properly. The validation of survey measure has been done both regarding psychometric quality and content validity. Advanced analysis of the data can draw a more nuanced picture. Moreover, some screening instruments have been developed as a first step towards making diagnosis. Instead the HBSC surveys ask boys and girls about their health and well-being, social environment and health behaviours. HBSC uses findings at national and international levels to gain new insights into young people's health and wellbeing, understand the social determinants of health, and inform policy and practice to improve young people's lives.


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