Cloud Based Intelligent Decision Support System for Disaster Management Using Fuzzy Logic

Field of cloud computing is an emerging field in computer science. Computational intelligence and Decisions Supports Systems (DSS) have to gained concerns as a computing solution to planned and unplanned problems of organizations in order to progress decision-making tasks in a better way. In today era, Disaster management is a big problem. To overcome this problem, a real time computation is required. Cloud computing is a tool to offer promising support to decision support system in a real time environment. In this paper, a fuzzy based decision support system is proposed to meet all the requirements using fuzzy logic inference system

Cloud Based Intelligent Decision Support System for Disaster Management Using Fuzzy Logic

Field of cloud computing is an emerging field in computer science. Computational intelligence and Decision support systems (DSS) have to gain concern as a computing solution to planned and unplanned problems of organizations in order to progress decision-making tasks in a better way. In today era, Disaster management is a big problem. To overcome this problem, a real time computation is required. Cloud computing is a tool to offer promising support to decision support system in a real time environment. In this paper, a fuzzy based decision support system is proposed to meet all the requirements using fuzzy logic inference system

Diagnostic Accuracy and Imaging Appearance Glioblastoma Multiforme on MRI and MRS

Objective: To determine the diagnostic accuracy of contrast-enhanced MRI with conventional sequences and MR Spectroscopy in the diagnosis of Glioblastoma Multiforme, taking histopathology as the gold standard. We also determined the MR imaging appearance of GBM on conventional sequences. Methodology: This descriptive cross-sectional study was conducted at a tertiary care hospital from 19th August 2019 to 18th August 2020 on 165 adult patients suspected of having an intracranial space-occupying lesion. Informed consent was sought and a questionnaire was filled out for patient data, MRI imaging findings, and MRS results. Histopathology results were subsequently followed and recorded. The diagnostic accuracy of contrast enhanced MRI brain as well as MRS was determined in terms of sensitivity, specificity, positive predictive value, negative predictive value, and diagnostic accuracy, taking histopathology as gold standard. Results: In a total of 165 patients selected for the study, the mean age was 56.34±10.04 years with a male to female ratio of 1:1 and the frontal lobe being the most common location (34.5%). In histopathological positive GBM cases, margins of the mass were ill-defined in 55.1%, intralesional low ADC values were observed in 63.3%, signal drop out on susceptibility imaging in 42.8%, and MRS with raised choline and reduced NAA in 75.5%. MRI had a sensitivity of 81.6% and  specificity of 94.8%, and MRS has a sensitivity of 75.5% and a specificity of 100%. Conclusion: Ill-defined margins, necrosis, and hemorrhage are important MRI features suggesting GBM. MRS combined with conventional MR sequences has high sensitivity and specificity in its diagnosis

Machine learning approaches for enhancing smart contracts security: A systematic literature review

Smart contracts offer automation for various decentralized applications but suffer from vulnerabilities that cause financial losses. Detecting vulnerabilities is critical to safeguarding decentralized applications before deployment. Automatic detection is more efficient than manual auditing of large codebases. Machine learning (ML) has emerged as a suitable technique for vulnerability detection. However, a systematic literature review (SLR) of ML models is lacking, making it difficult to identify research gaps. No published systematic review exists for ML approaches to smart contract vulnerability detection. This research focuses on ML-driven detection mechanisms from various databases. 46 studies were selected and reviewed based on keywords. The contributions address three research questions: vulnerability identification, machine learning model approaches, and data sources. In addition to highlighting gaps that require further investigation, the drawbacks of machine learning are discussed. This study lays the groundwork for improving ML solutions by mapping technical challenges and future directions

Globalization: Information Technology and Economic Growth Nexus: Empirical Evidence from ARDL Model Approach to Co-integration and Causality Analysis

This study provides a realistic examination of link between economic growth, information technology and its elements with particular attention on the stock market advancement in Pakistan.  Our results recommend a positive connection between well-organized stock market and economic growth equally in long run and short run. In financial theory globalization information technology would affect the increase economic development. This study investigates the influence of globalization and economic advancement on income disparity in Pakistan. In this study, we used the annual time series data and also used autoregressive distributed lag model (ARDL) econometric technique. We collected this data 1973 to 2014 from state bank of Pakistan and international financial statistics. From this study, it is decided that, globalization information technology has substantial effect on income parity; the economic growth rate is also achieving the income equality. In the policy outlook trade openness, foreign payment, foreign direct investment, may contribute in reducing inequality, the key variables used in this study are like savings, inflation, and exchange rate, gross domestic product, investment. This implies that, if this country wants to increase the economic growth, then to formulate and strictly implement some particular policies that facilitate investment in ICT

Globalization: Information Technology and Economic Growth Nexus: Empirical Evidence from ARDL Model Approach to Co-integration and Causality Analysis

This study provides a realistic examination of link between economic growth, information technology and its elements with particular attention on the stock market advancement in Pakistan.  Our results recommend a positive connection between well-organized stock market and economic growth equally in long run and short run. In financial theory globalization information technology would affect the increase economic development. This study investigates the influence of globalization and economic advancement on income disparity in Pakistan. In this study, we used the annual time series data and also used autoregressive distributed lag model (ARDL) econometric technique. We collected this data 1973 to 2014 from state bank of Pakistan and international financial statistics. From this study, it is decided that, globalization information technology has substantial effect on income parity; the economic growth rate is also achieving the income equality. In the policy outlook trade openness, foreign payment, foreign direct investment, may contribute in reducing inequality, the key variables used in this study are like savings, inflation, and exchange rate, gross domestic product, investment. This implies that, if this country wants to increase the economic growth, then to formulate and strictly implement some particular policies that facilitate investment in ICT

NOVEL FINDINGS OF PHOENIX DACTYLIFERA, DATES FRUIT EARLY-STAGE HABABUK FOR PHYTOCHEMICAL SCREENING, ANTIOXIDANT AND CYTOTOXIC POTENTIALS

Objective: The present study aims to investigate the phytochemical constituents, antioxidant, and cytotoxic activity of the total ethanolic extract of the hababuk stage of date’s fruits Phoenix dactylifera (PDHE). Methods: Extracts PDHE obtained with shade dried and a powdered sample of hababuk stage of date fruits Phoenix dactylifera and subjected to phytochemical screening, in vitro antioxidant activity study by DPPH assay and ABTS assay, in vitro cytotoxic studies carried out for three different cell lines Lung Cancer (A549), Human cervical carcinoma (HeLa) and Breast Cancer (MCF)-7 cells by MTT method and brine shrimp lethality assay using standard procedure. Results: The phytochemical study revealed the presence of important constituents like alkaloids, glycosides, phenolic, flavonoids, carbohydrate, proteins, amino acids, terpenoids, steroids, and saponins. The antioxidant studies of the PDHE compared with standard showed very excellent results IC50 values for DPPH activity and nitric oxide. A good result was also shown by ABTS when compared with that of standard. The brine shrimp lethality assay is considered a useful tool for preliminary assessment of toxicity. The extract showed excellent LC50 value, which correlates with cytotoxicity studies previously established. The MTT study results using the three different cell lines compared with the standard doxorubicin, promising results obtained for HeLa cell lines when compared with other cell lines. Conclusion: Results obtained from the present work indicated that the hebabuk stage of date fruit is a promoising antioxidant and anticancer agent. Further study should be carried out to isolate the bioactive compound responsible for the activity

Carotid artery Disease Assessed by Color Doppler Flow Imaging: Comparison Between Diabetic and Non-Diabetic Patients

Background: Carotid artery disease is most often seen in hypertensive patients and in patients with diabetes mellitus. More than 50% stenosis of extra cranial internal carotid arteries is linked with about 8–15% of ischemic strokes. The incidence of carotid artery stenosis (CAS) among diabetic patients is rising as compared to non-diabetic patients.  Methods: A cross-sectional study was performed on 120 patients, out of whom 60 were diabetic and 60 non-diabetics with clinically suspected carotid artery disease.  The study was conducted at the university ultrasound clinic in Green Town by Doppler ultrasonography using the Toshiba XARIO XG, which features a linear probe of 5-7.5 MHz frequency. The data was analyzed with the help of SPSS version 25.0. Variables like age, gender, diabetes, and Intima-media thickness (IMT) were reported and the mean ± standard deviation of Pulsatility Index, Resistive Index, Peak Systolic Velocity, and End Diastolic Velocity were calculated with a significant p-value, which is less than 0.05. An independent t-test was applied to compare Doppler indices in diabetic and non-diabetic subjects.Results: Data was collected from 120 patients. IMT of right and left carotid artery, PI and RI of right carotid were observed to be statistically significant in diabetic and non-diabetic.Conclusions: This study concluded that there is a significant correlation found between carotid artery disease and diabetes. Through ultrasonography, the presence of plaque and stenosis was found in more diabetic patients than in non-diabetic patients.Keywords: Ultrasonography; Carotid artery disease; Carotid artery stenosis; Carotid plaque; Vascular ultrasound; Diabetes   

Sonographic Correlation of Fetal Foot Length as a Reliable Parameter for Estimation of Gestational Age in 2ND and 3RD Trimester

Objective: To sonographic correlation fetal foot length as a reliable parameter for estimation of gestational age in 2nd and 3rd trimester. Study Design: An analytical cross-sectional prospective study was performed. Settings: The study was performed in Meer Children and family clinic, Tajpora Lahore. Period: An analytical cross-sectional study was conducted from 15 October, 2021 to 15 January, 2021. Material & Methods: The present study is conducted in the in the Meer Children and Family Clinic Tajpura Lahore .In pregnant women attending the OPD during 2nd and 3rd trimester for routine checkups. The present study done in 60 normal pregnant women who were sure about their last menstrual period, have regular menstrual cycle, not experienced any vaginal bleeding. Ultrasonographic fetal foot length measurements was done without previous knowledge of gestational age and then the gestational age confirmed by biparietal diameter, abdominal circumference and head circumference . Results: The present study is conducted in 63 pragnent women between 15 to 35 weeks  of gestational age attending the OPD for 2nd and 3rd trimester routine checkups the  in the Meer Children and Family Clinic Tajpura Lahore . Sonographically we calculated foot length from 15 to 35 weeks of gestation. In our study to Early  age at which fetal foot length could be seen and measured sonographically was found to be 15 weeks of  gestation age. In 27 weeks of gestational age and mean foot length 83.67 with std. deviation 5.718 and std. Error Mean -720 and the mean value of foot length by gestational age is 93.33 with std. deviation and std. error mean 338.740 and 42.677 respectivly.  Along with foot length bipraietal diameter(BPD),Abdominal circumference(AC),head circumference(HC) also measured for comparison. Conclusion: In the normal growing fetus the fetal foot length increases with increasing gestational age. Fetal foot length is a good parameter for gestational age especially in cases of femur achondroplasia, dolichocephaly or brachycephaly and in cases who are not sure about their L.M.P. Fetal foot length is  used as an investigational implement  to measured  of gestational age in the late second and third trimesters of pregnancy. Fetal foot length was especially useful when other parameters did not correctly estimate gestational age, e.g., in cases of short-limb dwarfism hydrocephalus or anencephaly. Keywords: Gestational age, Fetal foot length, Ultrasonographically age estimation DOI: 10.7176/JHMN/93-04 Publication date:September 30th 202

Neurocysticercosis in non-endemic regions: The experience of Qatar

ObjectiveTo describe the occurrence and features of Neurocystircercosis (NCC) in Qatar.BackgroundQatar has a mixed population of natives and expats. NCC is not endemic to the region, but clinical practice suggests its occurrence in large numbers.Design/ methodsA database was created to summarize information retrospectively collected on patients with NCC seen through the national health system (HMC) between 2013 and 2018. We identified demographic and disease related variables (clinical manifestations, investigative findings, treatment and outcome) for all patients.ResultsOut of 420 identified NCC patients, 393 (93.6%) were men, and 98.3% were immigrants from NCC endemic countries such as Nepal (63.8%) and India (29.5%). Eighty percent of patients presented with seizures, with the majority (69%) experiencing generalized tonic–clonic seizures. Five percent presented with status epilepticus. Headaches, the second most common complaint, were reported in 18% of subjects. On imaging, 50% had a single lesion while 63% included pathology at the calcified stage. The lesions were parenchymal in 99.5% of cases, predominantly in the frontal lobe (59%). Thirteen percent were diagnosed incidentally on imaging, mainly in the form of isolated calcified non enhancing lesions. Albendazole was received by 55% of patients, and phenytoin was the most prescribed anti-seizure drug (57%). When long term follow up was available, 70% of the patients presenting with seizures were completely seizure free.ConclusionNCC is prevalent in Qatar, mainly within the large Southeast Asian immigrant population. NCC is currently a significant contributor to the epilepsy burden in Qatar, often with a good outcome regarding seizure control. NCC with intraparenchymal single lesion shares a large proportion of our cohort