Performance Evaluation of a Forward Kinematic Hand Model

العديد من مجالات الحياة تستخدم الانسان الالي, وخاصية الانسان الالي متاتية من دقته. لذلك، تقدم هذه الورقة تقييم اداء ذراع الانسان وذلك من خلال الوقت المستغرق للوصول الى النقطة النهائية المطلوبة, وموقع نقطة الوصل المطلوبة ليد واحدة. حيث ان الزمن المستغرغ للذراع للوصول الى الموقع المطلوب هو تقريبا (1.4614x10-4sec)، بينما للاصبع مضافا لليد هو تقريبا(0.00019sec.)، كذالك تم حساب نسة الخطا في الموقع او في عملية الوصول الى الموقع النهائي مع مختلف نسب الخطا (0.1-1NSRP)، وجد ان نسبة الخطا هي (0-.12mm) Many fields of life has been used a robot, the specialty of the robot is coming from its accuracy. Therefore, this paper has been presented the evaluation of the robots arm performance on the one hand of consuming time and required end-position. Where, The time consuming required for the hand to reach to the desired position is taken 1.4614x10-4sec., while for finger adding to the arm is taken 0.00019sec.. Also, the error position has been evaluated with different NSPR (0.1-1) ,where the error amount are 0-12mm

Classification improvement of spoken arabic language based on radial basis function

The important task in the computer interaction is the languages recognition and classification. In the Arab world, there is a persistent need for the Arabic spoken language recognition To help those who have lost the upper parties in doing what they want through speech computer interaction. While, the Arabic automatic speech recognition (AASR) did not receive the desired attention from the researchers. In this paper, the Radial Basis Function(RBF) is used for the improvement of the Arabic spoken language letter. The recognition and classification process are based on three steps; these are; preprocessing, feature extraction and classification (Recognition). The Arabic  Language Letters  (ALL) recognition is done by using the combination between the statistical features and the Temporal Radial Basis Function for different letter situation and noisy condition. The recognition percent are from 90% - 99.375% has been gained with independent speaker, where these results are over-perform the earlier works by nearly 2.045%. The simulati.on has been made by using Matlab 2015b

Correlates of Risk-Aversion among Poultry Egg Farmers in Ibadan, Nigeria

Poultry production is largely faced with a number of risks. In this study, sources of risk, attitude of farmers towards risk, the determinants and risk management strategies adopted by farmers were examined. Primary data from 74 respondents were collected using cluster sampling method with the aid of a well-structured questionnaire. Descriptive statistics, composite analysis, safety first behavioural model and the censored Tobit model were the analytical tools employed. The most prevalent source of risk in the study area was fluctuation of input prices (75.3%) and the least encountered risk source was inefficiency of workers (12.2%). Average poultry egg farmer in the study area experienced at least one source of risk. The respondents were found to exhibit low risk aversion and risk-aversion was significantly increased by cost of labour, number of layers in battery cage system and number of layers in deep litter system. However, years in poultry farming and amount of credit received significantly reduced the risk aversion among the farmers. The most used risk management strategy was relaxation of pen before re-stocking them (97.3%). Farmers should be encouraged to insure their farms and extension services should be made readily available to farmers. Enabling policy environment towards an effective credit programme should be facilitated while attention should also be shifted towards protection of farmers against input price variations

Review: Biomedical Applications of Carbon Nanotubes

Carbon nanotubes are electrically, thermally, and chemically conductive nanoparticles with unique nano-dimensions, unusually strong, and high aspect ratio, which makes them perfect for biomedical applications. Recent researches on carbon nanotubes endow anti-microbial activity against different pathogenic strains of gram-positive (Staphylococcus aureus and S. pyogenes) and gram-negative (Escherichia coli, Klebsiella pneumoniae, and Proteus mirabilis), incorporating carbon nanotubes in scaffold for tissue engineering due to their strong characteristics and conducting properties that enhance cell regeneration, and efficacy in drug delivery techniques. Undesirably, the needle-like manifestation of carbon nanotubes and its physical features lead to toxicity problems as respiratory problems, pulmonary toxicity, agglomeration, or cell death. This report aims to describe the possible potentials of carbon nanotubes and their suitability in various aspects of the biomedical field and also highlight their prospects. The antimicrobial activity, applications in tissue engineering, drug delivery, and the toxicology of carbon nanotubes are also discussed here

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