EFFECT OF AGE AND BODY WEIGHT AT MOLTING ON THE PERFORMANCE OF BROILER BREEDER HENS UNDER ENVIRONMENTAL CONTROL HOUSES IN PAKISTAN

In the present study, 2700 broiler breeder hens of Arbor Acre strain were divided into 27 experimental units (100 each) and allotted to nine treatments randomly having three replications each. The birds were kept under uniform managemental conditions throughout the experimental period of 32 weeks post molt period. The birds were molted under conventional method at 50, 55 and 60 weeks of age having three different body weights i.e. 3000, 3500 and 4000 ± 50g under 3x3 factorial design. At the time of 5% production, data on production performance (weekly eggs/hen, hen day production, body weight and feed consumption) were recorded. Data collected was analyzed by analysis of variance technique under 3x3 factorial arrangement of treatment and the differences among the treatment means were analyzed by Duncan’s Multiple Range test. Significant (P<0.05) differences due to body weight and age were noted for feed consumption, weekly eggs per hen, hen day production and hen house production. Broiler breeders having low age group (50 weeks) and medium body weight (3500g) resulted in maximum production performance/net profit

Programmer Assisted Tool Impact on Static Error Handling Capability of Novices in Imperative First Programming Languages

Learning and understanding the syntax of a programming language is an extremely ordeal for novice programmers majoring in computer science. Introduction to programming is offered as a core subject. Novices have to use IDEs to write their programs. These IDEs has a valuable impression of novice error handling skills as static error messages are represented as intricate compiler waffles, terms and puzzling sentences. Docile, easy to understand, simple error messages are of prissy importance to evaluate novice programming aptitude. This research represents the outcomes of programmer assisted tool in natural language for explication of static errors in an imperative first programming language like C. Programmer Assistant tool (PAT) represents natural language description/solution of static errors underpinning Human Computer Interaction (HCI) approach, in the IDE and work as an offline static code analyzer. To assess effectiveness of this PAT novices was directed to write programs in different IDEs first and later using this PAT. Frequency of static errors, error, problem-solving time was analyzed and compared. The result of this study depicts that use of the programmer assisted tool has deep impact on novice performance, motivation and learning outcome. The quantitative mathematical analysis of our study revealed programming assistant tools has significantly influenced programming&nbsp;&nbsp; and static error handling skills of the students majoring CS

SARS-CoV-2 vaccination modelling for safe surgery to save lives: data from an international prospective cohort study

Background: Preoperative SARS-CoV-2 vaccination could support safer elective surgery. Vaccine numbers are limited so this study aimed to inform their prioritization by modelling. Methods: The primary outcome was the number needed to vaccinate (NNV) to prevent one COVID-19-related death in 1 year. NNVs were based on postoperative SARS-CoV-2 rates and mortality in an international cohort study (surgical patients), and community SARS-CoV-2 incidence and case fatality data (general population). NNV estimates were stratified by age (18-49, 50-69, 70 or more years) and type of surgery. Best- and worst-case scenarios were used to describe uncertainty. Results: NNVs were more favourable in surgical patients than the general population. The most favourable NNVs were in patients aged 70 years or more needing cancer surgery (351; best case 196, worst case 816) or non-cancer surgery (733; best case 407, worst case 1664). Both exceeded the NNV in the general population (1840; best case 1196, worst case 3066). NNVs for surgical patients remained favourable at a range of SARS-CoV-2 incidence rates in sensitivity analysis modelling. Globally, prioritizing preoperative vaccination of patients needing elective surgery ahead of the general population could prevent an additional 58 687 (best case 115 007, worst case 20 177) COVID-19-related deaths in 1 year. Conclusion: As global roll out of SARS-CoV-2 vaccination proceeds, patients needing elective surgery should be prioritized ahead of the general population