Fixed Cluster Based Cluster Head Selection Algorithm in Vehicular Adhoc Network

The emergence of Vehicular Adhoc Networks (VANETs) is expected support variety of applications for driver assistance, traffic efficiency and road safety. For proper transmission of messages in VANET, one of the proposed solutions is dividing the network into clusters and then selecting a cluster head (CH) in each cluster. This can decrease the communication overhead between road side units (RSUs) and other components of VANETs, because instead of every node communicating with RSU, only CH communicates with RSU and relays relevant messages. In clustering, an important step is the selection of CH. In this thesis, we implemented vehicle to vehicle (V2V), cluster head to road side unit and road side unit to trusted authority authentication for the clustered network. We also presented a heuristic algorithm for selecting a suitable vehicle as the cluster head in a cluster. For the selection of head vehicle, we used weighted fitness values based on three parameters; trust value, position from the cluster boundary and absolute relative average speed. Simulation results indicate that the proposed approach can lead to improvements in terms of QoS metrics like delay, throughput and packet delivery ratio

Neurosurgery with Artificial Intelligence

The safety and efficacy of surgery are the surgeon’s priority. With the help of artificial intelligence (AI) tools, with learning algorithms based on millions of patients’ records, the outcomes can be predicted following different types of surgeries. 1 According to the Journal of the American Medical Association by the Neurosurgical Simulation and Artificial Intelligence Learning Centre at The Neuro, McGill University, AI can enhance technical performance and learning outcomes during simulated brain tumor removal. 2 According to a study published in Nature partner journal Digital Medicine, an open-source smartphone app for meningioma has allowed surgeons and physicians to interactively with patients. The app helps doctors and brain tumor patients predict survival and help make better treatment decisions. Researchers have also created a machine-learning system to categorize tissue using a deep convolutional neural network (CNN).3 New research also showed that machine learning can diagnose brain tumors at a fraction of the time it takes human pathologists. The new method streamlined the practice of analyzing tissue samples while the patient is still on the operating table. As per new findings in Nature Medicine, the new AI system can accurately diagnose a brain tumor in two minutes4. We should place a high value on research based on anticipating neuropathologies, surgical outcomes, and choosing neurosurgical techniques in advance

COVID-19 Vaccination in Neurosurgeons

In a letter to President-Elect Josephs R. Biden on January 19, 2021, the American Association of Neurological Surgeons (AANS) emphasized the significance of COVID-19 immunization for neurosurgeons in order to reach the worldwide objective of vaccination. In a report, only one death is reported from 264,00,000 vaccinated people. In negative-vaccinated individuals, the death rate is 2-3% in younger adults, whereas 7-10% is reported in older people. COVID-19 was reported in less severity in those who were positive-vaccinated. According to a latest survey, 60% of Pakistani neurosurgeons were COVID-19 positive, mostly from the hospital environment. High level of acceptance and motivation is found in our neurosurgeons. 91% of our neurosurgeons have been vaccinated. Mostly received the SinoPharm and Oxford AstraZeneca

Management of Calcium, Vitamin D, and Uric-Acid Levels for Spinal Pain

Low back pain is incredibly painful and demoralizing due to the physical restrictions it causes as well as the psychological ramifications it brings. The calcium and alkaline phosphatase were favorably connected with vitamin D. The issue of low back discomfort presents a difficulty to healthcare practitioners. In developing nations, the problem is exacerbated by a failure to report for early treatment, vocational compulsions in rural regions, and sedentary lifestyles among urban youngsters 1. In Pakistan, there was a significant incidence of vitamin D insufficiency, with 53.5 percent of residents studied being vitamin D deficient, 31.2 percent being inadequate vitamin D, and just 15.3 percent having normal vitamin D (25-hydroxyvitamin D) levels. High levels of Vitamin D insufficiency were also seen, regardless of the various quantities of sunlight in the five city sites 2. In observational studies, consumption of carbonated beverages has been linked to an increased risk of fracture. The most common reason is that one or more of the beverage ingredients raise urine calcium. 3 There is a role of optimized levels of calcium, vitamin D & uric Acid in order to treat patients with low backaches. 1,4 The over intake of carbonated caffeine drinks and artificial fruit juices adversely impacts the proper absorption of vitamin D and calcium. Hence, good doses of supplements of Vitamin D and Calcium should be optimized for patients reporting muscles and joint pains.  Severe back pain and lower extremities weaknesses have been reported in altered levels of vitamin D and uric acid. 5 We strongly recommend early and regular screening for vitamin D, Calcium, and uric acid as part of a comprehensive health assessment for low back pain

Genetic Variants of Serum Alpha 1 Antitrypsin

Complete absence of data on alpha 1 antitrypsin in this country prompted us to determine serum levels using radial immunodiffusion (RID) and phenotypes by isoelectric focusing (IEF) in 100 healthy adults (52 males and 48 females). Mean serum alpha 1 antitrypsin concentration in healthy subjects was 2.47±0.08 g/l and the main phenotypes MM (70%), M1 M2 (28%) and FM 3(2%) are infrequent in our population (JPMA 45:245,1995)

Competitiveness and Comparative Advantage of Pakistan in Leather and Leather Products Trade: Analysis and Trends

Livestock sector is considered the second key sector of agriculture through its share of more than half to value added and 11.8% to GDP and main source of raw material for leather industry of the country. This local availability of raw materials and low wage cost gives the country a competitive edge in the world market. This study is an effort to examine Pakistan's competitiveness of leather and leather products with a set of Revealed Comparative Advantage (RCA) and Revealed Competitive Advantage index with respect to international trade. The study has utilized Balassa index, Vollrath index and Revealed Symmetric Comparative Advantage index for empirical analysis in Pakistan during the time span from 2003 to 2014. The findings of the study illustrate that Pakistan has a high degree of comparative advantage in this sector during period under analysis which indicates the potential of leather sector exports for foreign exchange earnings. The results of the study also show that the position of Leather sector lies in the “Competitive position product group” and “Threatened product group”. There is need to strengthen comparative and competitive advantage in Leather sector by policy support and facilitating role by all stakeholders to attain the growth in livestock and agriculture sector and improve the income of related stakeholders