The stroboscopic human vision

When the frequency of seeing light from a pair of point flashes is beyond the probability summation of the separate flashes, the surplus is due to the successful interaction of subliminal responses from the different flashes. Experiments with various distances and various periods of the pair show thet successful interaction occurs when in each of two successive time-quanta of 0.04 seconds and in each of two adjacent distinct receptor groups at least one subliminal receptor response occurs. An autonomous source produces the time-quanta. It serves the time-processing of the central nervous system and of the motor system. Posdsibly, action potentials from the purkinje cells of the myocardium play a role. Hyper acuity in direction and in depth, flicker fusion, perceptual rivalry and ather phenomena follow from the quantized spatiotemporal signal processing

A simple and efficient face detection algorithm for video database applications

The objective of this work is to provide a simple and yet efficient tool to detect human faces in video sequences. This information can be very useful for many applications such as video indexing and video browsing. In particular the paper focuses on the significant improvements made to our face detection algorithm presented by Albiol, Bouman and Delp (see IEEE Int. Conference on Image Processing, Kobe, Japan, 1999). Specifically, a novel approach to retrieve skin-like homogeneous regions is presented, which is later used to retrieve face images. Good results have been obtained for a large variety of video sequences.Peer ReviewedPostprint (published version

Long term effect of gender affirming hormone treatment on depression and anxiety symptoms in transgender people: A prospective cohort study

BackgroundCross?sectional studies show that transgender people are more likely than cisgender people to experience depression and anxiety before Gender Affirming Hormone Treatment (GAHT). However, the effect of GAHT on mental health in transgender people, and the role of other factors that may have a predictive effect, is poorly explored.ObjectivesUsing a longitudinal methodology, this study investigated the effect of 18 months GAHT on depression and anxiety symptomatology and the predictors on mental health outcomes in a large population of transgender people.Materials and MethodsParticipants (n=178) completed a socio?demographic questionnaire, the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Scale of Perceived Social Support (MSPSS) and the Autism Spectrum Quotient Short Version (AQ?short) at pre?assessment (T0) and at 18 months after initiation of GAHT (T1).ResultsFrom T0 to T1, symptomatology was significantly decreased for depression (P[less than]0.001) and non?significantly reduced for anxiety (P=0.37). Scores on the MSPSS predicted reduction in depression, while scores on the AQ?short predicted reduction in anxiety.DiscussionGAHT reduces symptoms of depression which are predicted by having higher levels of social support. Although anxiety symptoms also reduce the changes are not significant and high levels of anxiety still remain post GAHT.ConclusionsThese results highlight the important mental health benefits of GAHT. Support services (professional, third sector or peer?support) aiming at increasing social support for transgender individuals should be made available

The Critical Aggregation Concentration of ß-Lactoglobulin-Based Fibril Formation

The critical aggregation concentration (CAC) for fibril formation of ß-lactoglobulin (ß-lg) at pH 2 was determined at 343, 353, 358, 363, and 383 K using a Thioflavin T assay and was approximately 0.16 wt%. The accuracy of the CAC was increased by measuring the conversion into fibrils at different stirring speeds. The corresponding binding energy per mol, as determined from the CAC, was 13 RT (~40 kJ mol¿1) for the measured temperature range. The fact that the CAC was independent of temperature within the experimental error indicates that the fibril formation of ß-lg at pH 2 and the measured temperature range is an entropy-driven process

Generative Plug and Play: Posterior Sampling for Inverse Problems

Over the past decade, Plug-and-Play (PnP) has become a popular method for reconstructing images using a modular framework consisting of a forward and prior model. The great strength of PnP is that an image denoiser can be used as a prior model while the forward model can be implemented using more traditional physics-based approaches. However, a limitation of PnP is that it reconstructs only a single deterministic image. In this paper, we introduce Generative Plug-and-Play (GPnP), a generalization of PnP to sample from the posterior distribution. As with PnP, GPnP has a modular framework using a physics-based forward model and an image denoising prior model. However, in GPnP these models are extended to become proximal generators, which sample from associated distributions. GPnP applies these proximal generators in alternation to produce samples from the posterior. We present experimental simulations using the well-known BM3D denoiser. Our results demonstrate that the GPnP method is robust, easy to implement, and produces intuitively reasonable samples from the posterior for sparse interpolation and tomographic reconstruction. Code to accompany this paper is available at https://github.com/gbuzzard/generative-pnp-allerton .Comment: 8 pages, submitted to 2023 IEEE Allerton Conferenc