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Household Saudi Arabian Travellers' Understanding with regards to COVID-19 and it is Vaccination.
K-Means is one of the most popular clustering algorithms that partitions observations into nonoverlapping subgroups based on a predefined similarity metric. Its drawbacks include a sensitivity to noisy features and a dependency of its resulting clusters upon the initial selection of cluster centroids resulting in the algorithm converging to local optima. Minkowski weighted K-Means (MWK-Means) addresses the issue of sensitivity to noisy features, but is sensitive to the initialization of clusters, and so the algorithm may similarly converge to local optima. Particle Swarm Optimization (PSO) uses a globalized search method to solve this issue. We present a hybrid Particle Swarm Optimization (PSO) + MWK-Means clustering algorithm to address all the above problems in a single framework, while maintaining benefits of PSO and MWK Means methods. This study investigated the utility of this approach in lateralizing the epileptogenic hemisphere for temporal lobe epilepsy (TLE) cases using magnetoencephalography (MEG) c and TLE in 97.2% and 82.3% of cases for DTI and MEG data, respectively. It also lateralized left and right TLE in 82.3% and 93.6% of cases for DTI and MEG data, respectively. The proposed optimization and clustering methodology for MEG and DTI features, as they relate to focal epileptogenicity, would enhance the identification of the TLE laterality in cases of unilateral epileptogenicity.Pancreatic-pleural fistula is a rare but severe complication with pancreatitis. A 50-year old man with heavy alcoholic history was transferred to our hospital due to pancreatic pleural effusion with diffuse pancreatic swelling. MRCP revealed two stenotic parts of main pancreatic duct. We inserted a pancreatic stent, and pleural effusion was improved. However, diffuse pancreatic swelling still remained for 3 months. Autoimmune pancreatitis was suspected because of morphologic appearance and high serum levels of IgG4. We confirmed his illness as Type 1 autoimmune pancreatitis pathologically by EUS-FNA and started steroid administration. click here Diffuse pancreatic swelling was improved immediately. Pancreatic-pleural fistula did not relapse after removing the pancreatic stent and tapering steroid. This is a first report for pancreatic-pleural fistula caused by autoimmune pancreatitis and successfully treated with pancreatic drainage and steroid.Survival of patients with stage IV esophageal adenocarcinoma is exceedingly poor, with less than 5% surviving 5 years. Current National Comprehensive Cancer Network guidelines recommend only palliative and supportive measures for patients with metastatic esophageal cancer. Treatment for stage IV disease is chemotherapy in selected patients, while the role of radiation therapy and surgical resection remain controversial. We report herein a young patient with esophageal adenocarcinoma and synchronous liver metastasis who underwent induction chemotherapy with encouraging downstaging, then two-field esophageal resection with left liver lobectomy. Despite a complete response of esophageal and residual liver lesions, early progression with isolated brain metastasis occurred 2 months after discharge. Our case highlights that despite progress in perioperative chemotherapy, the role of surgery remains uncertain for patients with esophageal cancer and synchronous M1 disease who exhibit excellent response to neoadjuvant treatment.The early recognition of ASD in adults is challenging, in particular due to the lack of appropriate and robust diagnostic tools. We performed a psychometric validation and diagnostic accuracy study of the French version of the RAADS-R on a sample of 305 adults 105 with ASD without ID, 99 with psychiatric disorders, and 103 non-psychiatric control groups. The French version of the RAADS-R demonstrates good reliability and diagnostic validity, suggesting that it can help clinicians during the diagnostic process in adults with ASD without ID. However, the finding that a two-factor structure better fits the results requires further validation. This study point out the need of further study of RAADS in psychiatric disorders group due to the relatively high false positive rate (55.6%) of ASD.Vision problems can lead to negative developmental outcomes. Children with Williams syndrome and Down syndrome are at higher risk of vision problems, and these are less likely to be detected due to diagnostic overshadowing and difficulty accessing eye-care. Education, Health and Care (EHC) plans are statutory documents, introduced by the Children and Families Act 2014 in England, with the intention of integrating provision across these domains. Vision issues should be reported in these plans, and recommendations made about appropriate adjustments for them. We analysed the EHC plans from 53 children with Down or Williams syndrome. Our results showed significant underreporting, especially for children with Williams syndrome, and little explanation of what adjustments should be made. We also report pockets of good practice.Prevalence of developmental disorders (DDs) has been increasing worldwide. This study identifies a trend in their prevalence and incidence, using nationwide population-based data to analyze the characteristics of children with DDs in Korea. The prevalence of DDs steadily increased by more than four times (from 0.6 to 2.5) from 2003 to 2017. Boys had higher incidence than girls throughout the period, during which the gap increased from 19.1 to 31.4%. The incidence also increased by the size of city and medical insurance quartile. The ratio of autism spectrum disorder, developmental delay and language disorders among the total incident cases of DDs increased by 13.7%, 817.6%, and 30.7%, respectively, indicating their contribution to the trend of increasing prevalence.PURPOSE Lung biopsy is currently the most effective procedure for cancer diagnosis. However, respiration-induced location uncertainty presents a challenge in precise lung biopsy. To reduce the medical image requirements for motion modelling, in this study, local lung motion information in the region of interest (ROI) is extracted from whole chest computed tomography (CT) and CT-fluoroscopy scans to predict the motion of potentially cancerous tissue and important vessels during the model-driven lung biopsy process. METHODS The motion prior of the ROI was generated via a sparse linear combination of a subset of motion information from a respiratory motion repository, and a weighted sparse-based statistical model was used to preserve the local respiratory motion details. We also employed a motion prior-based registration method to improve the motion estimation accuracy in the ROI and designed adaptive variable coefficients to interactively weigh the relative influence of the prior knowledge and image intensity information during the registration process.
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