پولیس حدود وقصاص کے مقدمات رپورٹ کرتی ہے ، پھر اس کو عدلیہ کے سامنے لاتی ہے ۔ حدودو قصاص کے معاملات میں گواہوں کا نہ ملنا ، موقع سے ثبوت کا مٹ جانا ، تفتیشی آفیسرز کا مجرموں کے ساتھ ساز باز کرکے مقدمے کو بگاڑ نا یہ سب شعوری طور پر بھی ہوتا ہے اور کبھی لا شعوری طور پر بھی ۔ پولیس کا متضرر کے ساتھ عدم تعاون اور کارکردگی میں سستی قوانین حدودوقصاص میں رکاوٹ کا باعث ہے ، جس کی وجہ سے مجرموں کو سزا ملنا مشکل ہو جاتا ہے۔
Background: Coronavirus disease 2019 (Covid-19), declared as a pandemic in March 2020, is an acute respiratory tract illness caused by coronavirus 2 (SARS-CoV2) with clinical manifestations ranging from mild upper respiratory tract symptoms to severe pneumonia. Objectives: To determine the disease spectrum of Covid-19 in a cohort with a travel history from Iran. Materials & Methods: This cross-sectional study with a retrospective collection of data was conducted at Agha Khan University, Karachi from 15th March to 19th April 2020. One hundred and fifty-five laboratory-confirmed cases of Covid-19 were recruited from a government quarantine facility. Data were obtained from the Punjab Emergency Services (Rescue 1122) database where a record of SARS-CoV-2 positive cases and quarantined persons is maintained. Study subjects with a travel history to Iran were contacted by telephone to obtain information about demographics, symptoms, and co-morbid conditions. SPSS version 24 was used to analyze the data. Frequencies and percentages were calculated. Results: Among the returning travelers, 213 had laboratory-confirmed Covid-19, out of which 155 were included in this study. 56.1% were males with a mean age of 40 years. Among the study participants, 91.6% remained asymptomatic throughout the stay, while 8.4 % became symptomatic. 77.5% of the participants had received BCG vaccination in childhood. Among symptomatic cases 15.4% had asthma and 7.7% had hypertension. The most common clinical manifestation was cough which was present in 38.5% of the study participants. None died among the study participants. Conclusion: A mild presentation of COVID-19 was seen in our study participants with 91.6% among them being asymptomatic, while 8.4% were symptomatic. There was a high positivity rate in males as compared to females.
Server side applications are extensively developed by multithreading approach with the claim that it offers efficient resource utilization and promotes SMP architecture. Two competitive multithreading models are thread-per-request and thread pool. Thread pool architecture have been proved as a more responsive and more performance efficient, because of its pre-spawning and recycling a pool of threads. Many popular server applications have now adopted the thread pool architecture to tackle high loads and slowdown situations. But tuning the thread pool system at the optimal level and dynamically changing its size is still a challenging task of thread pool system. This thesis presents a dynamic optimization strategy for thread pool system which is named Frequency Based Optimization Strategy (FBOS) that can change the size of thread pool based on the set of quantitative measures and let the thread pool system running gracefully. The Frequency Based Optimization Strategy (FBOS) reacts on the basis of client?s request frequencies to gain more performance. FBOS is implemented in Java to adjust the size of thread pool dynamically so that wait time and turnaround time of requests can be reduced and performance of the server can be increased.