Parmi: a Publish/Subscribe Based Asynchronous Rmi Framework

This thesis aims to design a publish/subscribe-based asynchronous RMI (Remote Method Invocation) Framework (PARMI) residing on different machines over a network. The objectives of this thesis are: (1) explore the existing RMI model and analyze the performance of an existing RMI implementation; (2) study the related programming models for designing asynchronous RMI structure; (3) design a new PARMI framework based on publish/subscribe paradigm, realizing asynchronous communication and computation and decoupling objects in space and time; (4) evaluate the performance of the PARMI framework on the local/remote and homogeneous/heterogeneous environments. An example scientific application based on the Jacobi iteration numerical method is developed. Extensive experimental evaluation on up to 64 processors demonstrates the performance improvement using the PARMI framework.Computer Science Departmen

17β-estradiol reduces inflammation and modulates antioxidant enzymes in colonic epithelial cells

Background/Aims: Estrogen is known to have protective effect in colorectal cancer development. The aims of this study are to investigate whether estradiol treatment reduces inflammation in CCD841CoN, a female human colonic epithelial cell line and to uncover underlying mechanisms of estradiol effects. Methods: 17 beta-Estradiol (E2) effect was measured by Western blot after inducing inflammation of CCD841CoN by tumor necrosis factor alpha (TNF-alpha). Expression levels of estrogen receptor alpha (ER alpha) and beta (ER beta), cyclooxygenase-2 (COX-2), nuclear factor-kappa B (NF-kappa B), heme oxygenase-1 (HO-1), and NAD(P)H-quinone oxidoreductase-1 (NQO-1) were also evaluated. Results: E2 treatment induced expression of ERO but did not increase that of ER alpha. E2 treatment for 48 hours significantly elevated the expression of anti-oxidant enzymes, HO-1 and NQO-1. TNF-alpha treatment significantly increased the level of activated NF-kappa B (p < 0.05), and this increase was significantly suppressed by treatment of to nM of E2 (p < 0.05). E2 treatment ameliorated TNF-alpha-induced COX-2 expression and decrease of HO-1 expression. 4-(2-phenyl-5,7-bis(trifluoromethyl) pyrazolo(1,5-a)pyrimidin-3-yl)phenol (PHTPP), antagonist of ER beta, removed the inhibitory effect of E2 in the TNF-alpha-induced COX-2 expression (p = 0.05). Conclusions: Estrogen seems to inhibit inflammation in female human colonic epithelial cell lines, through down-regulation of NF-kappa B and COX-2 expression and induction of anti-oxidant enzymes such as HO-1 and NQO-1.

Disentangled dimensionality reduction for noise-robust speaker diarisation

The objective of this work is to train noise-robust speaker embeddings adapted for speaker diarisation. Speaker embeddings play a crucial role in the performance of diarisation systems, but they often capture spurious information such as noise and reverberation, adversely affecting performance. Our previous work has proposed an auto-encoder-based dimensionality reduction module to help remove the redundant information. However, they do not explicitly separate such information and have also been found to be sensitive to hyper-parameter values. To this end, we propose two contributions to overcome these issues: (i) a novel dimensionality reduction framework that can disentangle spurious information from the speaker embeddings; (ii) the use of a speech/non-speech indicator to prevent the speaker code from representing the background noise. Through a range of experiments conducted on four different datasets, our approach consistently demonstrates the state-of-the-art performance among models without system fusion.Comment: This paper was submitted to Interspeech202

Rethinking Session Variability: Leveraging Session Embeddings for Session Robustness in Speaker Verification

In the field of speaker verification, session or channel variability poses a significant challenge. While many contemporary methods aim to disentangle session information from speaker embeddings, we introduce a novel approach using an additional embedding to represent the session information. This is achieved by training an auxiliary network appended to the speaker embedding extractor which remains fixed in this training process. This results in two similarity scores: one for the speakers information and one for the session information. The latter score acts as a compensator for the former that might be skewed due to session variations. Our extensive experiments demonstrate that session information can be effectively compensated without retraining of the embedding extractor

Impact of the COVID-19 Pandemic on Behavioral and Emotional Factors in Pediatric Patients with Headache

Purpose Headaches are common in childhood and adolescence and are often exacerbated by various triggers. The coronavirus disease 2019 (COVID-19) pandemic has profoundly altered daily life worldwide. In this study, we investigated potential behavioral and emotional changes among pediatric patients with headaches, treated either before or after the onset of the COVID-19 pandemic. Methods We examined 162 patients who visited our pediatric headache clinic between March 2018 and August 2021. The study included patients with primary headaches who completed a questionnaire assessing behavioral and psychiatric characteristics. We reviewed their clinical features, imaging studies, and scores on the Korean Child Behavior Checklist (K-CBCL), State Anxiety Inventory for Children (SAIC), Trait Anxiety Inventory for Children, and Children’s Depression Inventory (CDI). Statistical analysis was conducted using the Mann-Whitney U test, among other methods. Results The 162 patients (mean age, 11.7±3.3 years) were classified based on whether they visited before (n=81) or after (n=81) the onset of the COVID-19 pandemic. The average CDI and SAIC scores were significantly higher in those who presented after pandemic onset. In this group, the odds ratio for an abnormal CDI score was 4.971. A weak positive correlation was found between the CDI score and the K-CBCL total problem score, with a correlation coefficient of 0.297. Conclusion Pediatric patients visiting the headache clinic after the onset of the COVID-19 pandemic exhibited significantly higher levels of anxiety and depression compared to pre-pandemic visitors. Recognizing the considerable impact of the pandemic may help inform the management of pediatric headaches