This allows it to increase the number of current and following-year production sites, and to save in the resources invested in non-productive sinks (roots, trunk and branches), thus liberating resources for reproductive growth. Greater investments in leaves allow it to intercept more light and thus to increase assimilation. Increased assimilation and increased partitioning towards productive structures, and decreased competition by non-productive structures might contribute to explain the greater early bearing attitude of this cultivar.Disorders of the heart and blood vessels are named cardiovascular disease. 'The heart's proper functionality is of an utmost necessity for the survival of life. The death rate due to heart disease, has been increased rapidly. Cardiovascular illness is believed the deadliest cause of death across the globe. From the facts and figures shared by the WHO (World Health Organization) 17.9 Million human lost their lives due to cardiovascular diseases. This research is carried out for the effective diagnosis of heart disease using the heart disease dataset available on the UCI Machine Repository. Heart disease diagnosis with an optimization algorithm can be fruitful in terms of higher accuracy and sensitivity. Finding an acceptable optimal solution among multiple solutions for a specific problem is known as optimization. Different machine learning algorithms have been applied as Support Machine Vector (SVM), K-Nearest Neighbor (KNN), Naïve Bayes (NB), Artificial Neural Network (ANN), Random Forest (RF), and Gradient Descent Optimization (GDO). Intelligent Cardiovascular Disease Prediction Empowered with Gradient Descent Optimization model produces the optimal results among under consideration classification algorithms. 98.54 % accuracy has been achieved by the GDO based model while performance evaluation it. 99.43% sensitivity (recall) and 97.76% precision have also been recorded. From the prediction results of the system, it's satisfactory to utilize it for cardiovascular disease diagnosis. The proposed system will be helpful for the analysis of cardiovascular disease. A deficit in Rapid Automatized Naming (RAN), acknowledged to be linked to dyslexia, has rarely been investigated as a potential explanation of the reading difficulties that children with intellectual disability (ID) often face. The existing studies mainly focused on adolescent or adults with ID matched to typically developing (TD) children on verbal mental age, or used a single RAN task. The aim of this study was to compare the RAN pattern and skills of children with ID and low reading skills to the ones of TD children with matched reading skills. 30 children with mild to moderate ID with mixed etiology ( = 9.4 years-old) were pair-matched to 30 TD children ( = 4.3 years-old) on phonological awareness- and reading-level. They were all administered color, object, finger, and vowel RAN tasks. Results showed that children with ID had more domain-specific RAN skills and were largely slower in most of the RAN tasks than their younger TD peers. This suggests that a deficit in RAN should be added to the explanations of their frequent reading difficulties, which might open new remediation possibilities. This suggests that a deficit in RAN should be added to the explanations of their frequent reading difficulties, which might open new remediation possibilities.This study was conducted to evaluate slaughter performance and meat quality of Begait sheep breed reared under different feeding options. Thirty intact fattening lambs (32.81 ± 2.39 kg) were used in randomized completely block design with three dietary treatments in ten replicates for a 90 day feeding trial. Dietary treatments constituted grass hay fed ad libitum to all treatments plus supplemented with mixed diet of 48% wheat bran, 15% molasses, 35% cotton seed cake, 1% salt and 1% limestone (T1); 43% wheat bran, 20% sorghum grain, 35% noug seed cake, 1% salt and 1% limestone (T2) and 47% wheat bran, 16% molasses, 35% sesame seed cake, 1% salt and 1% limestone (T3). At the end of the experimental period, six lambs randomly chosen from each treatment were slaughtered to determine the carcass traits and meat quality. Results showed that most carcass and meat traits were affected by diets. Average daily gain (ADG) was higher (P 0.05) while intramuscular fat was higher in T3 (4.18%) than T2 (3.87%) and T1 (3.79%) (P less then 0.01). The study indicated that carcass traits and meat quality could be modulated through dietary manipulation.Although mixed methods research proves significant in understanding complex social phenomenon, inadequate research has explored its utility in heat exposure studies. The convergent mixed methods analysis comprising 320 surveys and two focus group interviews were used to evaluate the social impacts of occupational heat stress on Ghanaian mineworkers to enlighten policy choices for the purpose of complementarity. The study contributes to mixed methods study by affirming the practical use of between-method triangulation and complementarity. The merged quantitative and qualitative results also showed adequate corroboration and complementarity between both data, to illustrate the social impacts of work-related heat stress on mining workers as heat-related comorbidity, productive capacity loss, anxiety, slow pace of work, and inadequate social well-being. The mixed methods results would inform policy options on the health and safety of work settings, managing occupational heat stress, and adaptation guidelines in the mining industry.The COVID-19 pandemic has interrupted the education of millions of students across the world. The purpose of this study was to investigate the perceptions regarding the technological instruction and accommodations provided to deaf students in online distance learning during the COVID-19 pandemic. This study was qualitative in nature and used anonymous, one-to-one semi-structured interviews. In June 2020, we interviewed a convenience sample of deaf students (n = 15) and their instructors (n = 3) and analysed the responses thematically. Upon achieving theme saturation, the thematic structure analysis was finalised. https://www.selleckchem.com/products/iso-1.html The results revealed five main themes related to deaf students' experience with online distance learning during COVID-19. The themes are as follows course content delivered, technology used, delivery method, assessment tools used, and social interactions. Each theme is discussed and compared with the related literature to scientifically encapsulate its suggested dimensions. The interviewed students described their experience of using online technology in both negative and positive terms.