Blevinspearson5512

In a variety of experimental settings, we show applicability of ICL for learning invariant representations for both continuous and discrete extraneous variables. The project page with code is available at https//github.com/adityakumarakash/ICL.Acquisition of surface electromyography (sEMG) from a person with an amputated lower extremity (LE) during prosthesis-assisted walking remains a significant challenge due to the dynamic nature of the gait cycle. Current solutions to sEMG-based neural control of active LE prostheses involve a combination of customized electrodes, prosthetic sockets, and liners. These technologies are generally (i) incompatible with a subject's existing prosthetic socket and liners; (ii) uncomfortable to use; and (iii) expensive. This paper presents a flexible dry electrode design for sEMG acquisition within LE prosthetic sockets which seeks to address these issues. Design criteria and corresponding design decisions are explained and a proposed flexible electrode prototype is presented. Performances of the proposed electrode and commercial Ag/AgCl electrodes are compared in seated subjects without amputations. Quantitative analyses suggest comparable signal qualities for the proposed novel electrode and commercial electrodes. The proposed electrode is demonstrated in a subject with a unilateral transtibial amputation wearing her own liner, socket, and the portable sEMG processing platform in a preliminary standing and level ground walking study. Qualitative analyses suggest the feasibility of real-time sEMG data collection from load-bearing, ambulatory subjects.

We investigated the existence of any connection between smoking and sublingual varices (SLV) in the older population.

This case-control study was conducted in 2019 on adults > 65 years old at Kahrizak Charity Nursing Home, Alborz, Iran. We conducted clinical examination and inspection of 222 elderly patients. Both the case group and control group contained the same number of patients (n = 111). SLV were classified as grade 0 (few or none visible) and grade 1 (moderate or severe). Taurocholicacid The case group included patients with SLV and the control group consisted of those older adults without SLV and who were matched with the case group based on age, gender, blood pressure, denture wearing, and varicose veins in their legs. Cigarette smoking habits were investigated in both groups. Smokers were considered those who smoked at least one cigarette per day for more than six months. Chi-square and odds ratio (OR) were used to statistically analyze the exposure of participants to smoking in both groups.

Among 222 participants, 21.6% and 5.4% were smokers in the case and control groups, respectively. The results of our data analysis revealed that SLV were significantly associated with smoking (p < 0.001, OR = 4).

Elderly patients with SLV are more likely to be cigarette smokers. Therefore, cigarette smoking cessation programs are recommended for older adults in society.

Elderly patients with SLV are more likely to be cigarette smokers. Therefore, cigarette smoking cessation programs are recommended for older adults in society.

Hepatitis B virus (HBV) is a major public health problem worldwide. The prevalence of HBV is dependent on the modes of transmission. Chronic hepatitis B (CHB) infection can progress to liver cirrhosis and hepatocellular carcinoma. Oman is regarded as an intermediate endemic region and has had a neonatal vaccine against HBV since 1990. However, little research has been conducted regarding risk factors for HBV transmission. Our study aimed to identify the prevalence of major risk factors for acquiring HBV in Oman.

We conducted a retrospective chart review of all adult Omani patients diagnosed with CHB at two tertiary hospitals in Oman, Sultan Qaboos University Hospital and Armed Forces Hospital, between February 2009 and July 2013. The prevalence of major risk factors was identified by interviewing CHB patients using a standard questionnaire during their follow-up visits to the hepatology clinic at both hospitals. The risk factor frequency was stratified by age, gender, and educational level.

A total of 2.3%, 14.3%, and 6.6%, respectively; p < 0.050). There was also a statistically significant difference among different educational levels (p < 0.050).

Direct contact of infected individuals within a family and exposure to high-risk behaviors such as piercing and barber shaving are the main reported risk factors for HBV infection in Omani patients. Reducing the vertical and horizontal transmission of HBV in Oman could be improved by implementing routine antenatal screening of pregnant women and a greater focus on contact screening, respectively.

Direct contact of infected individuals within a family and exposure to high-risk behaviors such as piercing and barber shaving are the main reported risk factors for HBV infection in Omani patients. Reducing the vertical and horizontal transmission of HBV in Oman could be improved by implementing routine antenatal screening of pregnant women and a greater focus on contact screening, respectively.In this case report, we review a male child who presented with severe bilateral hearing loss. Preoperative high-resolution computed tomography (HRCT) evaluation facilitated the initial diagnosis of the disease, which revealed typical findings of cochlear incomplete partition type III anomaly (IP-III), surgical planning, and cochlear implant selection to avoid possible complications. The child underwent cochlear implantation, which resulted in gushing and misplacement of the electrodes into the internal auditory canal (IAC) as postoperative complications. Postoperative imaging was used to determine the position of the implant and to assess the complications. The child's postoperative X-ray revealed misplacement of the cochlear implant, the extent of which was further assessed by a HRCT scan for preplanning the revision surgery and electrode selection. Following the revision surgery, a further HRCT scan confirmed proper implantation and ruled out any further complications.[This corrects the article DOI 10.1017/gmh.2021.18.].Cytokines influence the biological behaviour of prostate cancer (PC) and may influence patient outcome and serve as useful prognostic biomarkers. The aim of the present study was to evaluate cytokine expression levels in prostatic needle biopsy specimens and the association with clinicopathological characteristics of patients with PC. A total of 18 patients with PC who underwent transrectal ultrasound (TRUS) guided prostate biopsy were included in the clinical study. These patients were naïve to radiotherapy (RT) or androgen deprivation therapy prior to TRUS biopsy and clinical follow up data was collected. Cytokine expression levels were analysed by using immunohistochemistry and Spearman's correlation test was used to determine the correlation between cytokine expression and clinicopathological characteristics. Expression levels of pro-inflammatory TNF-α and IL-6 decreased as Gleason score (GS) increased; however, a statistically significant difference was not detected. A statically significant correlation was observed between needle biopsy specimen and pre-RT plasma sample expression levels of pro-inflammatory TNF-α and IL-6 (P=0.01 and P=0.05, respectively) and anti-inflammatory TGF-β1 (P=0.05). However, further studies are needed to confirm these results using a larger sample size to confirm the prognostic value of pro-inflammatory TNF-α and IL-6 and anti-inflammatory TGF-β1 in patients with PC.Stroke represents the leading cause of disability and mortality amongst the elderly worldwide. Multiple risk factors, including both genetic and non-genetic components, as well as their interactions, are proposed as etiological factors involved in the development of ischemic stroke (IS). Promoter polymorphisms of the IL-6-174G/C (rs1800795) and TNF-α-308G/A (rs1800629) genes have been considered as predictive risk factors of IS; however, these have not yet been evaluated in a Thai population. The aims of this study were to investigate the association of IL-6-174G/C and TNF-α-308G/A polymorphisms with IS. Genomic DNA from 200 patients with IS and 200 controls were genotyped for IL-6-174G/C and TNF-α-308G/A polymorphisms using TaqMan™ SNP genotyping and quantitative PCR-high resolution melting analysis, respectively. It was found that the TNF-α-308 A allele was significantly associated with an increased risk of IS development compared with the G allele [odds ratio (OR)=2.044; 95% CI=1.154-3.620; P=0.014]. Moreover, the IS risk was significantly higher in the presence of TNF-α-308 GA or AA genotypes compared with that in the presence of GG genotypes with a dominant inheritance (OR=1.971; 95% CI=1.080-3.599; P=0.027). However, there was no association between IL-6-174G/C and the risk of IS development. The interaction study demonstrated that IL-6-174 GG and TNF-α-308 GG genotypes enhanced IS susceptibility when combined with hypertension, hyperlipidemia and alcohol consumption. Hypertensive and hyperlipidemic subjects with the TNF-α-308 GA and AA genotypes were more likely to develop IS compared with those who did not have these two conditions and had the GG genotype. In a matched study design (11), the IL-6-174 GC genotype was associated with higher IL-6 levels in the control group. Collectively, the present results highlight the utility of the TNF-α-308G/A polymorphism as a predictive genetic risk factor for development of IS.Epilepsy affects 1 in 150 children under the age of 10 and is the most common chronic pediatric neurological condition; poor seizure control can irreversibly disrupt normal brain development. The present study compared the ability of different machine learning algorithms trained with resting-state functional MRI (rfMRI) latency data to detect epilepsy. Preoperative rfMRI and anatomical MRI scans were obtained for 63 patients with epilepsy and 259 healthy controls. The normal distribution of latency z-scores from the epilepsy and healthy control cohorts were analyzed for overlap in 36 seed regions. In these seed regions, overlap between the study cohorts ranged from 0.44-0.58. Machine learning features were extracted from latency z-score maps using principal component analysis. Extreme Gradient Boosting (XGBoost), Support Vector Machines (SVM), and Random Forest algorithms were trained with these features. Area under the receiver operating characteristics curve (AUC), accuracy, sensitivity, specificity and F1-scores were used to evaluate model performance. The XGBoost model outperformed all other models with a test AUC of 0.79, accuracy of 74%, specificity of 73%, and a sensitivity of 77%. The Random Forest model performed comparably to XGBoost across multiple metrics, but it had a test sensitivity of 31%. The SVM model did not perform >70% in any of the test metrics. The XGBoost model had the highest sensitivity and accuracy for the detection of epilepsy. Development of machine learning algorithms trained with rfMRI latency data could provide an adjunctive method for the diagnosis and evaluation of epilepsy with the goal of enabling timely and appropriate care for patients.