EEG-based image classification using an efficient geometric deep network based on functional connectivity

To ensure that the FC-GDN is properly calibrated for the EEG-ImageNet dataset, we subject it to extensive training and gather all of the relevant weights for its parameters. Making use of the FC-GDN pseudo-code. The dataset is split into a "train" and "test" section in Kfold cross-validation. Ten-fold recommends using ten folds, with one fold being selected as the test split at each iteration. This divides the dataset into 90% training data and 10% test data. In order to train all 10 folds without overfitting, it is necessary to apply this procedure repeatedly throughout the whole dataset. Each training fold is arrived at after several iterations. After training all ten folds, results are analyzed. For each iteration, the FC-GDN weights are optimized by the SGD and ADAM optimizers. The ideal network design parameters are based on the convergence of the trains and the precision of the tests. This study offers a novel geometric deep learning-based network architecture for classifying visual stimulation categories using electroencephalogram (EEG) data from human participants while they watched various sorts of images. The primary goals of this study are to (1) eliminate feature extraction from GDL-based approaches and (2) extract brain states via functional connectivity. Tests with the EEG-ImageNet database validate the suggested method's efficacy. FC-GDN is more efficient than other cutting-edge approaches for boosting classification accuracy, requiring fewer iterations. In computational neuroscience, neural decoding addresses the problem of mind-reading. Because of its simplicity of use and temporal precision, Electroencephalographys (EEG) are commonly employed to monitor brain activity. Deep neural networks provide a variety of ways to detecting brain activity. Using a Function Connectivity (FC) - Geometric Deep Network (GDN) and EEG channel functional connectivity, this work directly recovers hidden states from high-resolution temporal data. The time samples taken from each channel are utilized to represent graph signals on a topological connection network based on EEG channel functional connectivity. A novel graph neural network architecture evaluates users' visual perception state utilizing extracted EEG patterns associated to various picture categories using graphically rendered EEG recordings as training data. The efficient graph representation of EEG signals serves as the foundation for this design. Proposal for an FC-GDN EEG-ImageNet test. Each category has a maximum of 50 samples. Nine separate EEG recorders were used to obtain these images. The FC-GDN approach yields 99.4% accuracy, which is 0.1% higher than the most sophisticated method presently availabl

Neural network to investigate gaming addiction and its impact on health effects during the COVID-19 Pandemic

The Playing games become a serious issue and may have adverse effects on the quality of life of children. The research aims at identify in the factors and degree of influence which lead to gaming addiction and its impact on the quality of life of world children employing a comprehensive. Our method collects 2,526 children and adults’ data for five significant regions globally contain schools and universities in municipal and non-municipal areas. The research also aims to investigate the effect that gaming addiction has on the quality of life of children. Structural equation test and the (NNM) were uutilized to analyze the data. The results indicate some differences between boys and girls as to what factors lead to gaming addiction. The average Root Means Square Error (RMSE) of the neural network model is relatively low (.0103 for male training data and .0113 for male examining data, while for females it was .0103 for exercising data and .0104 for examining data), But gaming addiction was found to harm the life for both genders. Discussions comprising both academic as well as practical perspectives are also presented

Process Evaluation for Wheat Germ Oil Degumming

The objectives of this study are to optimize a degumming process that will efficiently remove phospholipids from crude wheat germ oil (CWGO) with minimal oil loss and to examine the effect of degumming processes on oil quality and bioactive compounds naturally present in wheat germ oil (WGO). The following methods were used to remove phospholipids: water, acid (citric and phosphoric acids) and enzymatic (Lecitase Ultra and Lysomax) degumming processes. The phosphorus content was 1,860 mg/kg in hexane- extracted and 1,360 mg/kg in mechanically pressed CWGO. After the water degumming, about 56 and 23% phosphorus reduction were achieved in hexane- extracted and mechanically pressed WGO, respectively. Both citric and phosphoric acid degumming were less effective than water degumming and reduced the amount of phosphorus about 39 and 47% in hexane- extracted and 16 and 13% in mechanically extracted WGO, respectively. Enzymatic degumming, which decreased the amount of phosphorus content about 88, 84 and 69% in hexane- extracted WGO and 82, 78 and 53% in mechanically pressed CWGO using Lecitase Ultra, Lysomax, and Gumzyme, respectively. Lecitase Ultra was the most effective enzyme to reduce phospholipid content of both hexane-extracted and mechanically pressed CWGO. Enzymatic degumming significantly increased the FFA content of the oil. All degumming processes resulted in tocopherol loss.Biosystems & Agricultural Engineerin

Twelve-month observational study of children with cancer in 41 countries during the COVID-19 pandemic

Introduction Childhood cancer is a leading cause of death. It is unclear whether the COVID-19 pandemic has impacted childhood cancer mortality. In this study, we aimed to establish all-cause mortality rates for childhood cancers during the COVID-19 pandemic and determine the factors associated with mortality. Methods Prospective cohort study in 109 institutions in 41 countries. Inclusion criteria: children <18 years who were newly diagnosed with or undergoing active treatment for acute lymphoblastic leukaemia, non-Hodgkin's lymphoma, Hodgkin lymphoma, retinoblastoma, Wilms tumour, glioma, osteosarcoma, Ewing sarcoma, rhabdomyosarcoma, medulloblastoma and neuroblastoma. Of 2327 cases, 2118 patients were included in the study. The primary outcome measure was all-cause mortality at 30 days, 90 days and 12 months. Results All-cause mortality was 3.4% (n=71/2084) at 30-day follow-up, 5.7% (n=113/1969) at 90-day follow-up and 13.0% (n=206/1581) at 12-month follow-up. The median time from diagnosis to multidisciplinary team (MDT) plan was longest in low-income countries (7 days, IQR 3-11). Multivariable analysis revealed several factors associated with 12-month mortality, including low-income (OR 6.99 (95% CI 2.49 to 19.68); p<0.001), lower middle income (OR 3.32 (95% CI 1.96 to 5.61); p<0.001) and upper middle income (OR 3.49 (95% CI 2.02 to 6.03); p<0.001) country status and chemotherapy (OR 0.55 (95% CI 0.36 to 0.86); p=0.008) and immunotherapy (OR 0.27 (95% CI 0.08 to 0.91); p=0.035) within 30 days from MDT plan. Multivariable analysis revealed laboratory-confirmed SARS-CoV-2 infection (OR 5.33 (95% CI 1.19 to 23.84); p=0.029) was associated with 30-day mortality. Conclusions Children with cancer are more likely to die within 30 days if infected with SARS-CoV-2. However, timely treatment reduced odds of death. This report provides crucial information to balance the benefits of providing anticancer therapy against the risks of SARS-CoV-2 infection in children with cancer

Wiener-Hosoya energy of non-commuting graph for dihedral groups

Spectral graph theory studies the connection between graph theory and algebra through matrices representation. This research is devoted to the spectrum of the non-commuting graph for the dihedral group. The matrix representation is the Wiener-Hosoya matrix which is a square matrix and the eigenvalues corresponding to the matrix are determined. The result shows that the energy is always similar to twice its spectral radius

Cross-cultural challenges for assessing medical professionalism among clerkship physicians in a Middle Eastern country (Bahrain): feasibility and psychometric properties of multisource feedback

Ahmed Al Ansari,1–3 Khalid Al Khalifa,1 Mohamed Al Azzawi,1 Rashed Al Amer,1 Dana Al Sharqi,4 Anwar Al-Mansoor,5 Fadi M Munshi6 1Department of General Surgery, Bahrain Defense Force Hospital, 2Surgical Department, Arabian Gulf University, 3Medical Education Department, Royal College of Surgeons in Ireland - Bahrain, 4Department of Internal Medicine, 5Department of Dietetics and Nutrition, Bahrain Defense Force Hospital, Riffa, Kingdom of Bahrain; 6College of Medicine, King Fahad Medical City, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, Kingdom of Saudi Arabia Background: We aimed to design, implement, and evaluate the feasibility and reliability of a multisource feedback (MSF) system to assess interns in their clerkship year in the Middle Eastern culture, the Kingdom of Bahrain.Method: The study was undertaken in the Bahrain Defense Force Hospital, a military teaching hospital in the Kingdom of Bahrain. A total of 21 interns (who represent the total population of the interns for the given year) were assessed in this study. All of the interns were rotating through our hospital during their year-long clerkship rotation. The study sample consisted of nine males and 12 females. Each participating intern was evaluated by three groups of raters, eight medical intern colleagues, eight senior medical colleagues, and eight coworkers from different departments.Results: A total of 21 interns (nine males and 12 females) were assessed in this study. The total mean response rates were 62.3%. A factor analysis was conducted that found that the data on the questionnaire grouped into three factors that counted for 76.4% of the total variance. These three factors were labeled as professionalism, collaboration, and communication. Reliability analysis indicated that the full instrument scale had high internal consistency (Cronbach’s α 0.98). The generalizability coefficients for the surveys were estimated to be 0.78.Conclusion: Based on our results and analysis, we conclude that the MSF tool we used on the interns rotating in their clerkship year within our Middle Eastern culture provides an effective method of evaluation because it offers a reliable, valid, and feasible process. Keywords: MSF system, interns, validity, generalizabilit

Investigation of The Histopathological and Histometric Changes in Rectum Tissue Biopsies of Hirschsprung and Non-Hirschsprung Disease in Neonate and Infant

Hirschsprung disease is one of the most common and problematic infancy and childhood maladies. The most reliable method for diagnosis is the histopathological analysis of colorectal biopsies and the typical finding of Hirschsprung disease is the absence of ganglion cells. The study involved 36 cases of suspected Hirschsprung disease, in which 27 cases were males and 9 cases were females with an age range between (1 day - 1 year). All patients undergo complete history taking, physical examination, radiological investigations, and rectal biopsy. The tissue specimens were obtained from the rectum of neonate and infant patients, maintained in the fixative solution (formalin 10%) for histopathological analysis, and patients were divided into two groups (Hirschsprung disease and non-Hirschsprung disease group) according to histological findings. Statistical analysis was performed on the tabulated data by chi-square, and the automated computer-adopted image analysis program Image J® was utilized for the histometrical examination of rectum tissue. The Hirschsprung disease is more common in males than females. The delayed passage of meconium is the most common symptom of these diseases. We notice that there is a significant difference between the Hirschsprung disease group and the non-Hirschsprung disease group in clinical signs, empty rectum, tight anal sphincter on per rectal examination. Based on histopathology analysis of the rectal biopsy, out of the 36 cases, 27(75%) cases were diagnosed as Hirschsprung disease, and 9 (25%) cases as negative for Hirschsprung disease. In Histometric study of rectal biopsies tissues showed a significant difference in the mucosa, Submucosa, and muscularis externa between Hirschsprung disease and non-Hirschsprung disease patients

Cytology and molecular study for GSTP1 effect on asthma Iraqi patients

Abstract Background GST belongs to a super family of phase II detoxification enzyme and it plays an important role in preventing the damage that may occur due to reactive water-soluble compounds generated by the association of reactive intermediates with glutathione. Method In the present study, we analyzed the frequencies of GSTP1 polymorphism among the Iraqi population using PCR–RFLP technique. Fifty samples from bronchial asthma patients and fifty samples from control cases were subjected to conventional PCR and Restriction Fragment Length Polymorphism (RFLP) to detect GSTP1 genotype and measured different parameters together such as IgE, eosinophilic count, WBC, and so forth. Some of the cases were made to undergo sequence analysis and enrolled in NCBI GenBank with accession number (MG657249–MG657258). The GSTP1 polymorphism was determined using PCR and the resultant 176-bp fragment was subjected to RFLP and digested with BsamA1 to recognize the A–G transition at nucleotide. Results Homozygotes for Ile105 encoding allele resulted in 176-bp fragment found in 62% andVal105 encoding allele had two fragments of 91 and 85 bp in PCR was found in 4% of asthmatic patients. On the other hand, heterozygotes resulted in three fragments of 176, 91 and 85 bp seen in 34% of patients. Conclusion To the best of the researcher’s knowledge, this is the first-of-its-kind report with regards to the role played by GSTP1 polymorphism in bronchial asthma among the Iraqi patients. Though the study outcomes do not support the large role played by GSTP1 gene polymorphism in the evolution of bronchial asthma disorder, future researchers are suggested to investigate more features for many promising results