The influence of advanced periodontitis on the psychophysical threshold level of periodontal mechanoreceptors in man

1981 ◽  
Vol 16 (2) ◽  
pp. 199-204 ◽  
Author(s):  
D. Sleenherghe ◽  
A. Bergh ◽  
J. H. Vries ◽  
W. H. Schoo
Keyword(s):  
Threshold Level ◽  
Periodontal Mechanoreceptors ◽  
Psychophysical Threshold

Maternal DDAVP-induced hyponatremia: Threshold level for fetal urinary diuresis

1998 ◽  
Vol 5 (1) ◽  
pp. 151A-151A
Author(s):  
M NIJLAND ◽  
T ROBERTS ◽  
M CURRAN ◽  
M ROSS
Keyword(s):  
Threshold Level

EVALD – a Pioneer Application for Automated Essay Scoring in Czech

2019 ◽  
Vol 113 (1) ◽  
pp. 9-30
Author(s):  
Kateřina Rysová ◽  
Magdaléna Rysová ◽  
Michal Novák ◽  
Jiří Mírovský ◽  
Eva Hajičová
Keyword(s):  
Czech Republic ◽  
Native Speakers ◽  
Threshold Level ◽  
Automated Essay Scoring ◽  
The Czech Republic ◽  
Linguistic Differences ◽  
Supervised Training ◽  
Language Data ◽  
Overall Performance ◽  
Essay Scoring

Abstract In the paper, we present EVALD applications (Evaluator of Discourse) for automated essay scoring. EVALD is the first tool of this type for Czech. It evaluates texts written by both native and non-native speakers of Czech. We describe first the history and the present in the automatic essay scoring, which is illustrated by examples of systems for other languages, mainly for English. Then we focus on the methodology of creating the EVALD applications and describe datasets used for testing as well as supervised training that EVALD builds on. Furthermore, we analyze in detail a sample of newly acquired language data – texts written by non-native speakers reaching the threshold level of the Czech language acquisition required e.g. for the permanent residence in the Czech Republic – and we focus on linguistic differences between the available text levels. We present the feature set used by EVALD and – based on the analysis – we extend it with new spelling features. Finally, we evaluate the overall performance of various variants of EVALD and provide the analysis of collected results.

The Evolved Security Dynamics of South Asia: Challenges to Pakistan’s Nuclear Threshold

2020 ◽  
Vol 22 (Summer 2020) ◽  
pp. 75-86
Author(s):  
Haris Bilal Malik ◽  
Muhammad Abbas Hassan
Keyword(s):  
South Asia ◽  
Threshold Level ◽  
Security Architecture ◽  
Unresolved Issue ◽  
Muslim Community ◽  
Global Security ◽  
Security Environment ◽  
Military Modernization

The longstanding unresolved issue of Kashmir serves as a nuclear flashpoint between India and Pakistan. Since 2019, the prevalent security environment of the region has dominated the discourse surrounding the regional and global security architecture. India’s policies during the Pulwama-Balakot crisis and the revocation of Kashmir’s constitutional status demonstrate the country’s intentions of dominating the escalation ladder in the region and marginalizing the muslim community of Kashmir. Because of the conventional disparity in South Asia where India is big interms of size, economy and military build-up, Pakistan has been further threatened by India’s aggressive policies and provocative military modernization. Consequently, Pakistan may be compelled to further revisit its nuclear threshold level to overcome India’s aggression.

GDNF Therapy: Can We Make It Work?

2021 ◽  
pp. 1-4
Author(s):  
Anders Björklund
Keyword(s):  
Gene Therapy ◽  
Transcription Factor ◽  
Signaling Pathway ◽  
Therapeutic Potential ◽  
Threshold Level ◽  
New Findings ◽  
The Status ◽  
Interesting Discussion ◽  
Postmortem Studies ◽  
Made In

In two recent postmortem studies, Jeffrey Kordower and colleagues report new findings that open up for an interesting discussion on the status of GDNF/NRTN signaling in patients with Parkinson’s disease (PD), adding an interesting perspective on the, admittedly very limited, signs of restorative effects previously seen in GDNF/NRTN-treated patients. Their new findings show that the level of the GDNF signaling receptor Ret is overall reduced by about 65% relative to non-PD controls, and most severely, up to 80%, in nigral neurons containing α-synuclein inclusions, accompanied by impaired signaling downstream of the Ret receptor. Notably, however, the vast majority of the remaining nigral neurons retained a low level of Ret expression, and hence a threshold level of signaling. Further observations made in two patients who had received AAV-NRTN gene therapy 8–10 years earlier suggest the intriguing possibility that NRTN is able to restore Ret expression and upregulate its own signaling pathway. This “wind-up” mechanism, which is likely to depend on an interaction with dopaminergic transcription factor Nurr1, has therapeutic potential and should encourage renewed efforts to turn GDNF/NRTN therapy into success, once the recurring problem of under-dosing is resolved.

scholarly journals An Optimal Tail Selection in Risk Measurement

Risks ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 70
Author(s):  
Małgorzata Just ◽  
Krzysztof Echaust
Keyword(s):  
Mean Squared Error ◽  
Real Data ◽  
Random Variable ◽  
Threshold Level ◽  
Middle Part ◽  
Risk Measurement ◽  
Practical Applications ◽  
Tuning Parameters ◽  
Path Stability ◽  
Asymptotic Mean Squared Error

The appropriate choice of a threshold level, which separates the tails of the probability distribution of a random variable from its middle part, is considered to be a very complex and challenging task. This paper provides an empirical study on various methods of the optimal tail selection in risk measurement. The results indicate which method may be useful in practice for investors and financial and regulatory institutions. Some methods that perform well in simulation studies, based on theoretical distributions, may not perform well when real data are in use. We analyze twelve methods with different parameters for forty-eight world indices using returns from the period of 2000–Q1 2020 and four sub-periods. The research objective is to compare the methods and to identify those which can be recognized as useful in risk measurement. The results suggest that only four tail selection methods, i.e., the Path Stability algorithm, the minimization of the Asymptotic Mean Squared Error approach, the automated Eyeball method with carefully selected tuning parameters and the Hall single bootstrap procedure may be useful in practical applications.

Sign in / Sign up

Export Citation Format

Share Document