Modeling Routing Overhead Generated by Wireless Proactive Routing Protocols

In this paper, we present a detailed framework consisting of modeling of routing overhead generated by three widely used proactive routing protocols; Destination-Sequenced Distance Vector (DSDV), Fish-eye State Routing (FSR) and Optimized Link State Routing (OLSR). The questions like, how these protocols differ from each other on the basis of implementing different routing strategies, how neighbor estimation errors affect broadcast of route requests, how reduction of broadcast overhead achieves bandwidth, how to cope with the problem of mobility and density, etc, are attempted to respond. In all of the above mentioned situations, routing overhead and delay generated by the chosen protocols can exactly be calculated from our modeled equations. Finally, we analyze the performance of selected routing protocols using our proposed framework in NS-2 by considering different performance parameters; Route REQuest (RREQ) packet generation, End-to-End Delay (E2ED) and Normalized Routing Load (NRL) with respect to varying rates of mobility and density of nodes in the underlying wireless network

Effects Of Phototherapy On Serum Calcium Level In Neonates With Hyperbilirubinemia

Objective: To study the frequency of hypocalcemia in neonates receiving phototherapy with indirect hyperbilirubinemia Materials and Methods: Descriptive case series study was conducted from September 5, 2018, to March 5, 2019, in the NICU of the Paediatric Department Benazir Bhutto Hospital, Rawalpindi. Approval was sought from the hospital’s ethical committee. Neonates fulfilling inclusion criteria were enrolled in the study after obtaining informed consent from the parents. Before giving phototherapy, serum calcium levels were checked. Phototherapy was given for 48 hours. Serum calcium levels were reassessed after 48 hours of phototherapy. Data was entered on a structured proforma and statistical analysis of data was performed. Results: Out of 150 patients enrolled in the study 83(55.33%) were male and 67(44.67%) were female. The mean age of patients was 52.52 hours with minimum and maximum ages of 26 hours and 80 hours. The mean Indirect serum bilirubin level was 15.59 ± 2.36. A total of 50(33.33%) cases had hypocalcemia after 48 hours of phototherapy, all of these neonates had normal calcium levels before phototherapy. When hypocalcaemia was stratified for gestational age, birth weight and serum bilirubin levels at baseline, there was no significant difference in the frequency of hypocalcaemia concerning these effect modifiers. Conclusion: It is concluded that the frequency of hypocalcemia is higher in neonates with indirect hyperbilirubinemia after receiving phototherapy. One needs to be vigilant in dealing with neonates in this context, while serial measurements of calcium levels and monitoring for complications of hypocalcaemia should be included in every institution’s polic

A RESEARCH TO ASSESS THE DIET AND ITS ASSOCIATED DISORDERS: DA VINCI'S DINING DISCIPLINE

In scientific history, there is a lot of evidence regarding diet as the source of disorders. The diet of our forefather is always interesting. This research was carried out at Jinnah Hospital, Lahore (September 2017 to July 2018). Leonardo da Vinci, considered universally, was a “universal genius”. His basic rules of eating habit are explained in this research study. The excess habit of eating should be avoided. There should be tasted, good smelling and good-looking food along with “Dining discipline”. The food rich in water should be used and saturated fat, sugar and salt consumption should be less. Da Vinci eating habits include fibre-rich, fresh and vegetation food. Keywords: Diabetes, Hypertension, Metabolic Syndrome, Nutrition and Obesity

Heart Disease Prediction Using Stacking Model With Balancing Techniques and Dimensionality Reduction

Heart disease is a serious worldwide health issue with wide-reaching effects. Since heart disease is one of the leading causes of mortality worldwide, early detection is crucial. Emerging technologies like Machine Learning (ML) are currently being actively used by the biomedical, healthcare, and health prediction industries. PaRSEL, a new stacking model is proposed in this research, that combines four classifiers, Passive Aggressive Classifier (PAC), Ridge Classifier (RC), Stochastic Gradient Descent Classifier (SGDC), and eXtreme Gradient Boosting (XGBoost), at the base layer, and LogitBoost is deployed for the final predictions at the meta layer. The imbalanced and irrelevant features in the data increase the complexity of the classification models. The dimensionality reduction and data balancing approaches are considered very important for lowering costs and increasing the accuracy of the model. In PaRSEL, three dimensionality reduction techniques, Recursive Feature Elimination (RFE), Linear Discriminant Analysis (LDA), and Factor Analysis (FA), are used to reduce the dimensionality and select the most relevant features for the diagnosis of heart disease. Furthermore, eight balancing techniques, Proximity Weighted Random Affine Shadowsampling (ProWRAS), Localized Randomized Affine Shadowsampling (LoRAS), Random Over Sampling (ROS), Adaptive Synthetic (ADASYN), Synthetic Minority Oversampling Technique (SMOTE), Borderline SMOTE (B-SMOTE), Majority Weighted Minority Oversampling Technique (MWMOTE) and Random Walk Oversampling (RWOS), are used to deal with the imbalanced nature of the dataset. The performance of PaRSEL is compared with the other standalone classifiers using different performance measures like accuracy, F1-score, precision, recall and AUC-ROC score. Our proposed model achieves 97% accuracy, 80% F1-score, precision is greater than 90%, 67% recall, and 98% AUC-ROC score. This shows that PaRSEL outperforms other standalone classifiers in terms of heart disease prediction. Additionally, we deploy SHapley Additive exPlanations (SHAP) on our proposed model. It helps to understand the internal working of the model. It illustrates how much influence a classifier has on the final prediction outcome

Pirfenidone: An Encouraging Therapeutic Approach For Enhancing Lateral Spinothalamic Tract Function After Spinal Cord Compression Injury

Abstract Objective: The objective of this study was to investigate whether intraperitoneally administered pirfenidone could enhance the sensory activity of the lateral spinothalamic tract in rats after compression injury to the spinal cord. Method: Injury induction at the T7 spinal cord level was achieved using a 70-gram force aneurysm clip in rats. The study involved three groups: Group A received a daily placebo, Group B received a daily dose of 200 mg/kg pirfenidone, and Group C received a daily dose of 500 mg/kg pirfenidone. Subsequently, each group was further divided into two sub-groups, labelled as groups 1 (14 days experimental duration) and 2 (28 days experimental duration), each consisting of 5 rats. On the last day of the experiment, lateral spinothalamic tract activity as pain and temperature sensations in the hind limbs of all rats were assessed. Results: Scores from the Von Frey test, hot plate test, and acetone drop test exhibited statistical differences both between and within groups. In comparison to non-pirfenidone-treated spinal cord injury groups, those treated with pirfenidone demonstrated a decline in all these scores. Conclusion: Pirfenidone with its anti-fibrotic and anti-inflammatory action, is likely to enhance the functionality of the lateral spinothalamic tract following spinal cord injury

Cache Memory: An Analysis on Replacement Algorithms and Optimization Techniques

Caching strategies can improve the overall performance of a system by allowing the fast processor and slow memory to at a same pace. One important factor in caching is the replacement policy. Advancement in technology results in evolution of a huge number of techniques and algorithms implemented to improve cache performance. In this paper, analysis is done on different cache optimization techniques as well as replacement algorithms. Furthermore this paper presents a comprehensive statistical comparison of cache optimization techniques.To the best of our knowledge there is no numerical measure which can tell us the rating of specific cache optimization technique. We tried to come up with such a numerical figure. By statistical comparison we find out which technique is more consistent among all others. For said purpose we calculated mean and CV (Coefficient of Variation). CV tells us about which technique is more consistent. Comparative analysis of different techniques shows that victim cache has more consistent technique among all

Idiopathic pulmonary hemosiderosis - A rare cause of chronic anemia

Idiopathic pulmonary hemosiderosis (IPH) is a rare disease marked by alveolar bleeding and accumulation of hemosiderin in the lungs. Here we present three cases of IPH. The first case is of a 26-year-old male with anemia, hemoptysis and dyspnea. Bronchoscopy confirmed diffuse alveolar hemorrhage (DAH). A diagnosis of IPH was made after ruling out other causes of DAH and observing good response to steroids. The patient\u27s condition improved with prednisolone and azathioprine. The second case is of 26-year-old female with severe anemia. Imaging suggested IPH and lung biopsy confirmed it. She died shortly afterwards. The third case is of a 7-year-old male with chronic anemia. CT was suggestive of IPH and lung biopsy confirmed the diagnosis. Later, patient developed posterior reversible encephalopathy syndrome (PRES). This patient is stable on azathioprine and prednisolone. We aim to emphasize the importance of considering IPH as a differential in patients with DAH or chronic anemia

Self-Medication of Antibiotics Among Medical Students: A Cross Sectional Study

Objective: To determine the frequency and perception regarding self-medication of antibiotics among medical students of Al-Nafees medical college, Isra university. Study Design: Descriptive cross-sectional study. Place and Duration of Study: It was conducted in Al-Nafees Medical College from 1 April- 30 June 2019. Materials and Methods: This study was conducted among medical students of Al-Nafees Medical College. A total of 220 students were included in the study, via convenient sampling technique, 44 students from each year, with male to female ratio of 1:1. A structured questionnaire comprising of 12 multiple choice questions along with a demographic details section was used to collect the data. The data was entered and analyzed using Statistical Package for Social Sciences (SPSS) version 22.0. Results: Out of 220 students (mean age 21 +/-4 years), 74% of students were self-medicating. 26.8% said prior experience of use was the reason for self-medication while 2.7% wanted to maintain privacy. About 39.50% of students used antibiotics to treat fever, whereas 5.90% for genitourinary infections. About 38.2% reported that the major source of information was acquired from other students, while 7.7% from friends or internet. Type of antibiotic was put under consideration by 40.5% of the students while self-medicating, 38.6% consulted doctor for selecting dosage. Dosage was changed during course of treatment by 16.8% , major reason (28.6%) behind it was improvement in health condition. Twenty-two percent stopped taking antibiotics before course completion on disappearance of symptoms while 29.5% labelled it as an unacceptable practice. Conclusion: The trend of antibiotics' self-medication is quite high among medical students which may result in an increase in antibiotic resistance