GIHAT: An Efficient Prediction Technique for Measure for Diabetes Mellitus

The medical service industry is a consistently developing field, producing trillions of information consistently. The modernization of the area has an immediate association with this incremental extent. These acquired informational collections are somewhat organized however for the most part unstructured in nature. These acquired information must be prepared with most extreme care to determine finish usable examples for subjective and prescient investigations. These gigantic records of information, in the wake of handling, when utilized, will turn out to be very unpredictable. Diabetes is a lifetime disease marked by elevated levels of sugar in the blood. It is the second leading cause of sightlessness and renal disease worldwide. Sort 2 diabetes mellitus (S2DM) is genuine and expensive metabolic illness that is a developing worries among peoples .S2DM is related with various comorbid conditions that can prompt negative patient results. Comorbid endless torment is extremely basic in S2DM because of the nearness of diabetic neuropathy and musculoskeletal conditions that are related with delayed hyperglycemia. This Paper using General Integrated High Availability Transaction (GIHAT) algorithm concentrates on the causes, sorts, and factors influencing DM (diabetes mellitus), preventive measures, and treatment of diabetes other than those directly associated with Diabetic Patients structured and unstructured data-sets .This algorithm executed in “R” Programming used for statistical analysis which provides the accurate results comparing existing algorithms

Multi Stage Classification and Segmentation of Brain Tumor Images Based on Statistical Feature Extraction Technique

Automatic classification of brain images has a censorious act in calm down the burden of manual characterize and developing power of brain tumor diagnosis. In this paper, Stanchion Vector Machine (SVM) method has been employed to perform classification of brain tumor images into their variety and grades. Chiefly the target is on four brain tumor categories-Normal, Glioma, Meningioma, Metastasis and the four grades of Astrocytomas, which is a conventional section of Glioma. We consult segmentation of glioma tumors, which have a large deviation in size, pattern and appearance inheritance. In this paper images are enlarged and normalized to same range in a pre-functioning stride.The enlarged images are then segmented positioned on their intensities applying 3D super-voxels. This effort analyze the SVM classifier applying variance statistical feature set the final analysis shows that for brain tumor categories and grades classification. The analyses are repeated for variance SVM categories, kernel categories and gamma points of kernel section. Analysis on the misclassification is implemented for each feature set applying specificity and sensitivity measures. At the end of this effort, we inferred that the Statistical feature Extraction(SFE) method is classifying the brain tumor categories satisfactorily but comparatively lacks in tumor grade classification. Classifying the brain tumorcan collection their material in the cloud, the cloud create it attainable to admissionourmaterialin distinction to anywhere at any time

Waste heat recovery from a vented electric clothes dryer utilizing a finned-tube heat exchanger

Conventional residential clothes dryers continuously vent moist, hot air during the drying process. The vented air leaves the home but still has useful temperature and humidity that could be recovered to offset other heating demands in the home. A study is carried out to quantify the amount of heat extracted from the waste heat stream of a conventional, vented clothes dryer. To extract the heat, a water cooled, fin-and-tube heat exchanger is located within the exhaust duct. A steady state thermodynamic dry coil and wet coil model was built in Engineering Equation Solver (EES). The model accounts for the heat exchangers geometry and applies a dimensionless heat and mass transfer analogy (Colburn-j-factor) determined empirically to calculate an overall heat transfer coefficient for both dry and wet areas of the coil. Assuming water and moist air inlet temperatures and air and water side flow rates, a rate of heat transfer and outlet temperatures of both streams are predicted. Comparing the model prediction to experimental results identifies the accuracy of the model. Using energy balance, the potential heat available and the heat recovered are calculated and the effectiveness of the finned-and-tube heat exchanger are determined. It was observed that approximately 0.1 kWh of energy was recovered leading to a heat exchanges effectiveness of 55%

Phytochemical Screening, Anti-Oxidant Potential and Anti- Ulcer Activity of Leucas diffusa Plant Extract

Leucas diffusa (lamiaceae) a branched herb collected from the Guntur region, A.P. India. Phytochemical studies of Leucas diffusa, methanolic fraction subjected to column chromatography and estimation of total flavanoid content and to evaluate antioxidant potential and anti-ulcer activity of methanolic extract of Leucas diffusa. The plant powder was subjected to continuous hot extraction in Soxhlet Apparatus & extracted successively with n-hexane, ethyl acetate and methanol solvents. The extracts prepared were tested for the type of chemical constituents present by known qualitative tests. Total flavanoid content of methanolic and ethylacetate extract of Leucas diffusa were done. In vitro Antioxidant activity of methanolic extract was evaluated using hydroxyl radical, reducing power & hydrogen peroxide scavenging abilities. Anti-ulcer activitiy of methanolic extract was evaluated through pylorus ligation method and ethanol induced ulcer models. Statistical analysis was performed by one-way analysis of variance (ANOVA) followed by the tukey’s test for multiple comparisons. Our findings suggest that methanolic extract of whole plant Leucas diffusa have got profound antioxidant effect and showed significant anti-ulcer activity at higher dose. Keywords: Leucas diffusa; Antioxidant; Flavanoid; anti-ulcer activity

Endodontic Microbiology: A Bibliometric Analysis of the Top 50 Classics

Background: Citation analysis has emerged to play a significant role in recognition of the most useful areas of research. Endodontic microbiology has been a topic of interest for endodontists as well as periodontists and oral surgeons. This bibliometric analysis is aimed at identifying and reporting the characteristics of the top 50 cited articles on endodontic microbiology. Methods: The articles were identified through a search on Web of Science (WoS), property of Clarivate Analytics database published on endodontic microbiology. The citation information of the selected articles was recorded. The Journal of Endodontics, International Endodontic Journal, Oral Surgery Oral Medicine Oral Pathology Oral Radiology and Endodontology, Dental Traumatology, and Australian Endodontic Journal were searched in the search title. Descriptive and bivariate analyses were performed using a statistical software package SPSS. Statistical analysis was performed using Shapiro-Wilk, Kruskal-Wallis, Post hoc, Mann-Kendall trend, and Spearman-rank tests. Results: The 50 most cited articles were published from 1965 to 2012 with citation count varying from 1065 to 103 times. The total citation counts of articles recorded were 11,525 (WoS), 12,602 (Elseviers' Scopus), and 28,871 (Google Scholar). The most prolific years in terms of publications were 2001, 2002, and 2003, with five publications each, followed by 2005 with four. The year with most citations was 1998, with 1,330 citations, followed by 1965 and 2001, with 1,065 and 1,015 citations, respectively. A total of 136 authors contributed to the top 50 most cited articles with 27 corresponding institutions from 12 different countries. The most common methodological design was in vitro study, followed by clinic-laboratory study, literature review, systematic review and meta-analysis, and animal study. Conclusions: The present study provided a detailed list of the top 50 most cited and classic articles on microbiology in endodontics. This will help researchers, students, and clinicians in the field of endodontics as an impressive source of information

Sustainable Engineering higher education in Oman-lessons learned from the pandemic (COVID-19), improvements, and suggestions in the teaching, learning and administrative framework

This research study has investigated the challenges faced due to the pandemic (COVID-19). This paper further provides recommendations that can be adopted by academics, learners, and administrators to make the education system more robust and sustainable. The impact of the COVID-19 pandemic can be felt in various fields across the world including higher education. The closure of face-to-face (FtF) learning in educational institutions worldwide has impacted over 95% of the world's student population. Therefore, in wake of this, many institutions have quickly adopted to offer complete online teaching and learning in a very short period. However, such a quick transition has raised several challenges. 1) What are the challenges encountered by academics and their readiness to adapt to the rapid remote learning transition? 2) What are the challenges encountered by learners (students), and their readiness to adapt to the rapid remote learning transition? 3) What are the recommendations for strategic planners or high-level administrators in institutions to tackle such pandemic risks effectively in the future? To address research questions mixed methods are used. A qualitativequestionnaire survey is framed by an extensive literature review to understand the perceptions of academics and learners. A total of (n=525) academician samples and (n= 1460) student samples have been collected. The academic and learner's perceptions are analyzed by estimating the Pearson correlation coefficients. The mean and SD values based on academic rank stood at 3.01±0.96, and by experience stood at 2.96±0.98. Similarly, learner's perceptions stood at 2.67±0.95

Equilibrium, Thermodynamic, and Kinetic Studies

Publisher Copyright: © 2022 Razia Sulthana et al.The economic viability of adsorbing crystal violet (CV) using pepper seed spent (PSS) as a biosorbent in an aqueous solution has been studied. A parametrical investigation was conducted considering parameters like initial concentration of dye, time of contact, pH value, and temperature variation. The analysis of experimental data obtained was carried out by evaluating with the isotherms of Freundlich, Sips, Tempkin, Jovanovic, Brouers-Sotolongo, Toth, Vieth-Sladek, Radke-Prausnitz, Langmuir, and Redlich-Peterson. The adsorption kinetics were studied by implementing the Dumwald-Wagner, Weber-Morris, pseudo-first-order, pseudo-second-order, film diffusion, and Avrami models. The experimental value of adsorption capacity (Qm=129.4 mg g-1) was observed to be quite close to the Jovanovic isotherm adsorption capacity (Qm=82.24 mg g-1) at (R2), coefficient of correlation of 0.945. The data validation was found to conform to that of pseudo-second-order and Avrami kinetic models. The adsorption process was specified as a spontaneous and endothermic process owing to the thermodynamic parametrical values of ΔG0, ΔH0, and ΔS0. The value of ΔH0 is an indicator of the process's physical nature. The adsorption of CV to the PSS was authenticated from infrared spectroscopy and scanning electron microscopy images. The interactions of the CV-PSS system have been discussed, and the observations noted suggest PSS as a feasible adsorbent to extract CV from an aqueous solution.publishersversionpublishe

Adolescent to Adolescent Transformation Program- Nurturing, Enhancing and Promoting Adolescents’ Healthy Habit (ATAP-NEPAH): Curbing Social Problems Among Adolescents in Kelantan Through Peer-To-Peer Health Education

The objectives of ATAP-NEPAH are to enhance and nurture healthy habits among adolescents as well as to empower adolescents in inculcating these healthy habits among them. Health education through peer-to-peer approach is used to instill the knowledge on important areas such as sexual and reproductive health, smoking, substance abuse, illegal street racing (rempit) and mental health. Specific modules were developed by experts (lecturers) in multidisciplinary fields in collaboration with Malaysian Association for Adolescent Health (MAAH), National Population and Family Development Board (NPFDB), Reproductive Health Association of Kelantan (REHAK) and Rhaudatus Sakinah Kelantan. The trained Medical Students Facilitator Team (MSFT) of USM became trainers to secondary one school students. The selected school students were trained by the medical students to become peer educators to their juniors and peers. There was improvement in the readiness level of peer educators, knowledge and attitude towards healthy habits and risky behaviors of other school students after the intervention

Coronavirus Disease 2019 Disease Severity in Children Infected With the Omicron Variant

SHORT SUMMARY: Severe acute respiratory syndrome coronavirus 2 infection from the Omicron variant in children/adolescents is less severe than infection from the Delta variant. Those 6 to <18 years also have less severe disease than those <6 years old. BACKGROUND: There are limited data assessing coronavirus 2019 (COVID-19) disease severity in children/adolescents infected with the Omicron variant. METHODS: We identified children and adolescents <18 years of age with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection with Delta and propensity score-matched controls with Omicron variant infection from the National COVID-19 Database in Qatar. Primary outcome was disease severity, determined by hospital admission, admission to the intensive care unit (ICU), or mechanical ventilation within 14 days of diagnosis, or death within 28 days. RESULTS: Among 1735 cases with Delta variant infection between 1 June and 6 November 2021, and 32 635 cases with Omicron variant infection between 1 January and 15 January 2022, who did not have prior infection and were not vaccinated, we identified 985 propensity score-matched pairs. Among those who were Delta infected, 84.2% had mild, 15.7% had moderate, and 0.1% had severe/critical disease. Among those who were Omicron infected, 97.8% had mild, 2.2% had moderate, and none had severe/critical disease (P < .001). Omicron variant infection (vs Delta) was associated with significantly lower odds of moderate or severe/critical disease (adjusted odds ratio [AOR], 0.12; 95% confidence interval [CI], .07-.18). Those aged 6-11 and 12 to <18 years had lower odds of developing moderate or severe/critical disease compared with those younger than age 6 years (aOR, 0.47; 95% CI, .33-.66 for 6-11 year olds; aOR, 0.45; 95% CI, .21-.94 for 12 to <18 year olds). CONCLUSIONS: Omicron variant infection in children/adolescents is associated with less severe disease than Delta variant infection as measured by hospitalization rates and need for ICU care or mechanical ventilation. Those 6 to <18 years of age also have less severe disease than those <6 years old

Two prolonged viremic SARS-CoV-2 infections with conserved viral genome for two months.

We document two cases of viremic and prolonged active infection with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) where the viral genome was conserved for two months, but infection was with little or no symptoms. The first infection persisted for 80 days and the second for 62 days. Clearance of infection occurred 40 and 41 days, respectively, after development of detectable antibodies. Both cases were identified incidentally in an investigation of reinfection in a cohort of 133,266 laboratory-confirmed infected persons