A Bayesian Mixture Modelling of Stop Signal Reaction Time Distributions: The Second Contextual Solution for the Problem of Aftereffects of Inhibition on SSRT Estimations [PDF]
Brain Sciences, 2021 The distribution of single Stop Signal Reaction Times (SSRT) in the stop signal task (SST) has been modelled with two general methods: a nonparametric method by Hans Colonius (1990) and a Bayesian parametric method by Dora Matzke, Gordon Logan and ...
Michael D. Escobar +2 more
exaly +4 more sources
A Time Series-Based Point Estimation of Stop Signal Reaction Times: More Evidence on the Role of Reactive Inhibition-Proactive Inhibition Interplay on the SSRT Estimations † [PDF]
Brain Sciences, 2020 The Stop Signal Reaction Time (SSRT) is a latency measurement for the unobservable human brain stopping process, and was formulated by Logan (1994) without consideration of the nature (go/stop) of trials that precede the stop trials.
Michael D. Escobar +2 more
exaly +4 more sources
Investigation of Stress Corrosion Cracking Behaviour of Mg-Al-Zn Alloys in Different pH Environments by SSRT Method [PDF]
Open Chemistry, 2019 In this study, stress corrosion behaviors of AZ31, AZ61 and AZ91 Mg alloys which contain different amounts of Al were investigated under acidic, basic and neutral environments having chloride ions using Slow Strain Rate Test (SSRT) method.
Recep Çatar
exaly +3 more sources
SSRT-DETR: Domain-Adaptive Semi-Supervised Detector [PDF]
SensorsDomain-adaptive object detection under set-prediction paradigms remains challenging, as Hungarian matching is sensitive to domain shift and fixed pseudo-label thresholds cannot simultaneously handle class imbalance and scene variability.
Wenshuai Zhang +3 more
doaj +4 more sources
Transactions of the JSME (in Japanese), 2020 In order to investigate the effect of hydrogen on Slow Strain Rate Tensile (SSRT) test of austenitic stainless steels, SUS304, SUS316 and SUS316L, two types of SSRT tests were conducted.
Hisashi Hirukawa +2 more
exaly +5 more sources
SSRT: A Sequential Skeleton RGB Transformer to Recognize Fine-Grained Human-Object Interactions and Action Recognition [PDF]
IEEE Access, 2023 Combining skeleton and RGB modalities in human action recognition (HAR) has garnered attention due to their ability to complement each other. However, previous studies did not address the challenge of recognizing fine-grained human-object interaction ...
Akash Ghimire, Vijay Kakani, Hakil Kim
doaj +2 more sources
Working memory capacity and emotion regulation strategies differentially predict proactive and reactive cognitive control [PDF]
Frontiers in PsychologyIntroductionExtensive evidence suggests that both working memory (WM) and emotion regulation shape cognitive control, yet their distinct contributions to proactive and reactive control remain unclear.MethodsGuided by the dual mechanisms of control (DMC ...
Ping Xu +6 more
doaj +2 more sources
A New Subpopulation of Extracellular Vesicles Harvested from Osteogenically Induced Mesenchymal Stromal Cells of Surgical Site-Released Tissue [PDF]
BiomoleculesImpaired bone healing is a major challenge in orthopedic and trauma surgery, often causing long-term disability and high costs. While autologous bone grafting is the gold standard, it is limited by donor site morbidity, low availability, and surgical ...
Laura-Marie Joly +4 more
doaj +2 more sources
Linear Correlation Between Confined Explosive Quantity and Dent Volume of an Underlying Aluminium Block Using the SSRT Setup [PDF]
Propellants, Explosives, Pyrotechnics, 2022 Thomas M. Klapötke +2 more
exaly +2 more sources
Evaluation of SSRT-Test by Classical Gravimetric Analysis and Optical Topographic Measurement: A Comparative Study [PDF]
Propellants, Explosives, Pyrotechnics, 2022 Thomas M. Klapötke +2 more
exaly +2 more sources