A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports

Bug reports are an essential aspect of software development, and it is crucial to identify and resolve them quickly to ensure the consistent functioning of software systems. Retrieving similar bug reports from an existing database can help reduce the time and effort required to resolve bugs. In this paper, we compared the effectiveness of semantic textual similarity methods for retrieving similar bug reports based on a similarity score. We explored several embedding models such as TF-IDF (Baseline), FastText, Gensim, BERT, and ADA. We used the Software Defects Data containing bug reports for various software projects to evaluate the performance of these models. Our experimental results showed that BERT generally outperformed the rest of the models regarding recall, followed by ADA, Gensim, FastText, and TFIDF. Our study provides insights into the effectiveness of different embedding methods for retrieving similar bug reports and highlights the impact of selecting the appropriate one for this task. Our code is available on GitHub.Comment: 7 Page

Treatment of Axillary Osmidrosis Using a Subcutaneous Pulsed Nd-YAG Laser

BackgroundAxillary osmidrosis is characterized by an unpleasant odor, profuse sweating, and in some instances, staining of clothes that may socially and psychologically impair affected individuals. Various types of surgical procedures have been developed for the treatment of axillary osmidrosis. This study was undertaken to evaluate the effectiveness of subcutaneous pulsed neodymium: yttrium-aluminum-garnet (Nd-YAG) laser treatment for the treatment of axillary osmidrosis.MethodsTwenty-nine patients with axillary osmidrosis were included in this study. Patients were categorized according to the results of an axillary malodor grading system, and a subcutaneous pulsed Nd-YAG laser was applied to all patients. The treatment area for the appropriate distribution of laser energy was determined using the iodine starch test (Minor's test) against a grid pattern composed of 2×2 cm squares. The endpoint of exposure was 300 to 500 J for each grid, depending on the preoperative evaluation results. The results were evaluated by measurement of axillary malodor both pre- and postoperatively using the grading system and iodine starch test.ResultsThe average follow-up period was 12.8 months. Nineteen patients had a fair-to-good result and ten patients had poor results. The postoperative Minor's test demonstrated that there were remarkable improvements for patients with mild to moderate symptoms. Complications including superficial second degree burns (n=3) were treated in a conservative manner. A deep second degree burn (n=1) was treated by a surgical procedure.ConclusionsSubcutaneous pulsed Nd-YAG laser has many advantages and is an effective noninvasive treatment for mild to moderate axillary osmidrosis

Oxytocin Receptor Polymorphism Decreases Midline Neural Activations to Social Stimuli in Anorexia Nervosa

Oxytocin is a neurotransmitter related to both feeding and social behavior; anorexia nervosa is a psychiatric illness defined by reduced food intake, weight loss, and problems in social perceptions. Oxytocin receptor single nucleotide polymorphisms rs2254298 or rs53576 and neural responses to social stimuli were evaluated in adult women with or recovered from anorexia nervosa using functional magnetic resonance imaging. Carriers of the A allele for OXTR rs2254298 (2 AA and 10 AG) showed significantly reduced activation of portions of the posterior cingulate cortex and medial prefrontal cortex for social stimuli as well as greater negative connectivity between the posterior cingulate and the occipital lobe relative to the GG subjects for rs2254298. Differences in the other OXTR SNP, rs53576, did not result in detectable neural differences in either whole brain or region of interest analyses. Development of a mechanistic, biological model of how social behavior is impacted by mental illness requires linking genes to functional brain activations in disease. This pilot study suggests that in anorexia nervosa, differences related to OXTR SNP rs2254298 may alter neural responses to social stimuli and disrupt the engagement and disengagement of the default mode network

Predictors of pre-operative cognitive impairment in meningioma patients over 60 years old

Abstract Background The aim of this study was to assess the cognitive function of patients over 60 years old with meningioma using a domain-specific neuropsychological test and to investigate the relevant factors affecting pre-operative cognitive decline in different subdomains. Methods We retrospectively investigated 46 intracranial meningioma patients between the ages of 60 and 85 years. All patients underwent brain MRI and neuropsychological test. Tumor size, location, peritumoral edema, and medial temporal atrophy (MTA) were examined to determine the association with cognitive impairment. We performed a logistic regression analysis to examine the odds ratios (ORs) for cognitive decline of four subdomains: verbal memory, language, visuospatial, and executive functions. Results Tumor size and age were associated with executive dysfunction (OR 1.083, 95% confidence interval (CI) 1.006–1.166, and OR 1.209, 95% CI 1.018–1.436, respectively). There was no statistically significant association in other cognitive domains (language, verbal memory, and visuospatial function) with variables in regression analysis. Conclusions We conclude that tumor size and age are positively related with executive function in pre-operative meningioma patients over 60 years old

Riboflavin Inhibits Histamine-Dependent Itch by Modulating Transient Receptor Potential Vanilloid 1 (TRPV1)

Riboflavin, also known as vitamin B2, isfound in foods and is used as a dietary supplement. Its deficiency (also called ariboflavinosis) results in some skin lesions and inflammations, such as stomatitis, cheilosis, oily scaly skin rashes, and itchy, watery eyes. Various therapeutic effects of riboflavin, such as anticancer, antioxidant, anti-inflammatory, and anti-nociceptive effects, are well known. Although some studies have identified the clinical effect of riboflavin on skin problems, including itch and inflammation, its underlying mechanism of action remains unknown. In this study, we investigated the molecular mechanism of the effects of riboflavin on histamine-dependent itch based on behavioral tests and electrophysiological experiments. Riboflavin significantly reduced histamine-induced scratching behaviors in mice and histamine-induced discharges in single-nerve fiber recordings, while it did not alter motor function in the rotarod test. In cultured dorsal root ganglion (DRG) neurons, riboflavin showed a dose-dependent inhibitory effect on the histamine- and capsaicin-induced inward current. Further tests wereconducted to determine whether two endogenous metabolites of riboflavin, flavin mononucleotide (FMN) and flavin adenine dinucleotide (FAD), have similar effects to those of riboflavin. Here, FMN, but not FAD, significantly inhibited capsaicin-induced currents and itching responses caused by histamine. In addition, in transient receptor potential vanilloid 1 (TRPV1)-transfected HEK293 cells, both riboflavin and FMN blocked capsaicin-induced currents, whereas FAD did not. These results revealed that riboflavin inhibits histamine-dependent itch by modulating TRPV1 activity. This study will be helpful in understanding how riboflavin exerts antipruritic effects and suggests that it might be a useful drug for the treatment of histamine-dependent itch

Methodologies to enhance the reliability of functional MRI analysis

Contributing to the growing popularity of functional magnetic resonance imaging (fMRI) as a noninvasive neuroimaging modality, researchers have advanced the credibility of fMRI analysis through algorithm development and hardware enhancement. In this context, this dissertation presents two methodologies to improve the interpretability of fMRI analysis. The first project addresses a practical issue for large-scale studies, arising from the timing of hardware upgrades, with a particular focus on the introduction of a higher field scanner. Higher fields have been demonstrated to be superior for fMRI, with prevailing opinion dictating that data cannot be meaningfully combined across different systems. Recently, multi-site studies across different systems with same field strength have demonstrated that this opinion is not correct. However, the data availability in multi-site studies is still limited since the effect of mixture data from different field strengths upon multi-site study results are not identified quantitatively or qualitatively. Considering this issue, a mixing study on fMRI auditory data from 1.5 Tesla and 3 Tesla has been conducted, investigating group analysis performance as a function of relative fraction of subjects included from each of the two different field strengths. Contrary to the general opinion, the inclusion of lower field data does not yield as much harmful effects on group analysis as the most researchers hypothesized. Thus, the mixing study contributes to not only uncovering the consequences of group analysis performance with regard to the inherent system-related signal properties, but also increasing the availability of potential fMRI data for large-scale studies. The second project is the development of a novel fMRI analysis procedure. This project is motivated by reevaluating assumptions of a currently widely-used fMRI analysis method—general linear model (GLM). GLM assumes the shape of fMRI signal, hemodynamic response function (HRF), is same across space, stimulus types and subjects, which is not a valid assumption. GLM also makes an invalid assumption of which noise is statistically independent of space and time. The second project generalizes the assumptions of GLM by incorporating the knowledge of hemodynamic responses from particular data via previously proposed probabilistic discriminant analysis (PDA). In a broad sense, PDA framework consists of iterative fMRI volume segmentation and statistical significance evaluation. The second project extends and refines the segmentation and the statistical inference of PDA. In the first component of the second project, multiple HRF models were incorporated in HRF estimation for single-subject analysis to minimize potential bias of the segmentation arising from mis-modelling of cluster-level HRFs. PDA for multi-subject data was also proposed to account for the inhomogeneity of HRFs over types of tasks and subjects, utilizing estimated HRFs in both volume segmentation and statistical significance evaluation. The algorithms of my second project were validated using synthetic data and assessed using human data, exhibiting an advantage in sensitivity and specificity in both single-subject analysis and group analysis

Skin color of Koreans: statistical evaluation of affecting factors

Background: The L*a*b* three-dimensional coordinate system is the most popular system used to measure skin color. The purpose of this study was to collect standard quantified data on Korean skin color using a chromameter CR-300, and to investigate the relationships among skin color and the general and individual factors that affect it. Methods: The 600 subjects used in this study were selected using a three-stage proportionate stratified and quota sampling method. We examined the color of 12 body parts of each subject and calculated the E* value (total color difference between two objects). This study also analyzed factors that may affect skin color. Results: The average L*a*b* values for the 12 body parts were 61.7462, 9.5618 and 17.0778, respectively. The site of lightest skin was the medial arm (L=63.9249), whereas the darkest was on the forehead (L=58.0044). Redness was highest on the cheek (a=11.8694) and lowest on the medial arm (a=8.1844). Skin color was lighter and more yellow in females than in males, whereas redness was higher in males. In the case of total color difference between two specific sites, the medial upper arm and forearm were the most similar (E=3.23), and the forehead and medial upper arm were the most different in color (E=7.99). Conclusion: The factors that significantly (P<0.01) influenced L*L* were sex, work place and sunbathing, factors that influenced a* were sex, work place and smoking; and the factors that influenced b* were sunbathing and age.This study was supported by a grant promoting research from the Keimyung University Dongsan Medical Center in 2000

A Subband-Specific Deconvolution Model for MTF Improvement in CT

The purpose of this research is to achieve uniform spatial resolution in CT (computed tomography) images without hardware modification. The main idea of this study is to consider geometry optics model, which can provide the approximate blurring PSF (point spread function) kernel, which varies according to the distance from X-ray tube to each pixel. The FOV (field of view) was divided into several band regions based on the distance from X-ray source, and each region was deconvolved with different deconvolution kernels. Though more precise calculation for the PSF for deconvolution is possible as the number of subbands increases, we set the number of subbands to 11. 11 subband settings seem to be a balancing point to reduce noise boost, while MTF (modulation transfer function) increase still remains. As the results show, subband-wise deconvolution makes image resolution (in terms of MTF) relatively uniform across the FOV. The results show that spatial resolution in CT images can be uniform across the FOV without using additional equipment. The beauty of this method is that it can be applied to any CT system as long as we know the specific system parameters and determine the appropriate PSF for deconvolution maps of the system. The proposed algorithm shows promising result in improving spatial resolution uniformity while avoiding the excessive noise boost

Neuroplasticity of cognitive control networks following cognitive training for chronic traumatic brain injury

Cognitive control is the ability to coordinate thoughts and actions to achieve goals. Cognitive control impairments are one of the most persistent and devastating sequalae of traumatic brain injuries (TBI). There have been efforts to improve cognitive control in individuals with post-acute TBI. Several studies have reported changes in neuropsychological measures suggesting the efficacy of cognitive training in improving cognitive control. Yet, the neural substrates of improved cognitive control after training remains poorly understood. In the current study, we identified neural plasticity induced by cognitive control training for TBI using resting-state functional connectivity (rsFC). Fifty-six individuals with chronic mild TBI (9 years post-injury on average) were randomized into either a strategy-based cognitive training group (N = 26) or a knowledge-based training group (active control condition; N = 30) for 8 weeks. We acquired a total of 109 resting-state functional magnetic resonance imaging from 45 individuals before training, immediately post-training, and 3 months post-training. Relative to the controls, the strategy-based cognitive training group showed monotonic increases in connectivity in two cognitive control networks (i.e., cingulo-opercular and fronto-parietal networks) across time points in multiple brain regions (pvoxel < 0.001, pcluster < 0.05). Analyses of brain-behavior relationships revealed that fronto-parietal network connectivity over three time points within the strategy-based cognitive training group was positively associated with the trail making scores (pvoxel < 0.001, pcluster < 0.05). These findings suggest that training-induced neuroplasticity continues through chronic phases of TBI and that rsFC can serve as a neuroimaging biomarker of evaluating the efficacy of cognitive training for TBI. Keywords: Traumatic brain injury, Rehabilitation, Cognitive function, Resting-state functional connectivity, Neuroplasticity, Cognitive contro