Home > Proximate Composition of Edible Portion of Labeo Calbasu During Winter Season from Indus River, Ghazi Ghat, Dera Ghazi Khan, Southern Punjab, Pakistan
Proximate Composition of Edible Portion of Labeo Calbasu During Winter Season from Indus River, Ghazi Ghat, Dera Ghazi Khan, Southern Punjab, Pakistan
Body composition of Labeo calbasu is categorized as water, protein, lipids, ash as main components of body. And carbohydrates are present in edible portion of fish as negligible amount. Total sample that were collected are fifty. All these samples collection is done from Indus River, Ghazi Ghat, Dera Ghazi Khan, Southern Punjab, Pakistan. Labeo calbasu proximate composition of edible portion is of great interest. All samples have average wet total weight of edible portion is 156.44 g that ranges from 112.17-205.45 g and dry weight average of edible portion 27.26 g. Total length average 23.35 cm that ranges from 22.2-32 cm size. By applying statistical formulas with the help of computer relationship value of different parameters were calculated. The values of correlation coefficient (r), standard error of mean, intercept (a) , regression coefficient (b) and value of ?t? also be evaluated.
When %Water (x) taken as constant, value of r for different parameters is calculated as % Ash wet weight (y) 0.781, % Ash dry weight (y) 0.240, % Fat wet weight (y) 0.328, % Fat dry weight (y) 0.407, % Protein wet weight (y) 0.974, % Protein dry weight(y) 0.418. Condition factor taken as (x) value of (r) for different calculations is calculated as % Water (y) 0.259, % Ash wet wt., g (y) 0.330.% Fat wet wt., g (y) 0.204. % Protein wet wt., g (y) 0. 211. Body dry weight, g (x) relationship with different intercepts gives the r value as % Water (y) 0.728, % Ash wet wt. (y) 0.557, % Ash dry wt. (y) 0.201, % Fat wet wt. (y) 0.204, % Fat dry wt. (y) 0.338, % Protein dry wt. (y) 0.349. Total length cm (x) give r value for % Water (y) 0.009, % Ash wet wt. (y) 0.127, % Ash dry wt. (y) 0.146, % Fat wet wt. (y) 0.088, % Fat dry wt. (y) 0.041, % Protein wet wt. (y) 0.045 and % Protein dry wt. (y) 0.091.Log body dry weight, g (x) relationship with different logs quantities r is calculated as Log watercontent, % g (y) 0.721, Log total ash content, g (y) 0.797, Log total fat content,0.209, Log protein total content, g (y) 0.974. At Log total length, cm and different intercepts log relationships r value is Log water content %, g 0.0167, Log ash total content, g (y) 0.416, Log fat total content, g (y) 0.226, Log fat total content g 0.226, Log protein total content g 0.310. It is concluded in Labeo calbasu that average of water content in fish edible tissues are 82.38 %. Total ash average weights are 3.30 g while % ash wet weighs 2.13 g and % ash dry weighs 12.22 g in edible portion of fish. Total fat contents are 3.46 g while wet fat weighs 2.23 % g and fat dry weighs 13.02 %. Total protein average 20.49 g proteins in wet fish edible flesh weight 13.25 % and protein dry weighs 74.76 %.
In Pakistan, although women’s activism was initiated since the country came into existence, but a diverse activism was observed by the nation in the form of ‘Aurat March during 2018-2020. The current study examines the Western feminism, what it was initiated for and its accomplishments in the current time. By employing a discourse analysis approach to the ‘Aurat March event, this study highlights the women’s activism in Pakistan, ‘Aurat March and the antipathy faced by organizers and supporters from the public because of its strange slogans and ridiculous placards. It also observes the relationship between western feminism and ‘Aurat March activism from the perspective of the social, cultural, and religious transformation of society. The study finds the need to raise a constructive and logical voice for women’s rights with support of the public to eradicate social evils instead of focusing on insignificant matters. It has further recommended that there is a need to build a framework in which one may be able to differentiate women’s rights in the context of western feminism and the limitation of women’s emancipation in Islamic context.
Implementing fault tolerant scheduling in computational grid is a challenging task. Proactive and reactive fault tolerant scheduling techniques are commonly used in grids. Proactive approaches focus on the issues due to which faults are generated. Reactive approaches are activated after identification of failures. Different from exist ing fault tolerant techniques, we present a novel, hybrid, dynamic, and adaptive fault tolerant technique that effectively uses proactive and reactive approaches. Proactive fault tolerant orchestrator uses proactive approach, where resources are filtered on the basis of vicinity, availability and reliability. Existing fault tolerance techniques do not distinguish resources during selection, but the proposed algorithm prefers to employ local resources that results in low communication costs and less tendency towards failures. In order to find high availability of resources, a newly identified parameter that uses availability time is incorporated in the model for finding highly available resources using mean time between availability and mean time between unavailability. Reliability of nodes is an indispensable consideration and proposed system computes the reliability of nodes using factors like success or failure ratio of jobs and types of encountered failures. Proposed model also employs an optimal resource identification algorithm that helps in selection of optimal resources during execution of the jobs. List of reliable and optimal grid nodes identified using proactive fault tolerant orchestrator is passed to reactive fault tolerant orchestrator. Failure detector and predictor are the two components that work under reactive fault tolerant orchestrator and caters for network, prediction and temperature based hardware failures. For detection of errors in an efficient and timely manner push and pull models are also applied. Hardware failures are predicted on the basis of device temperature and are carefully used for con trolling the checkpoint intensity. Reduction in number of checkpoints based on device temperature provide several performance benefits in terms of communication cost and reduced execution times. Performance of proposed model is validated using GridSim toolkit. Compared to contemporary techniques, experimental results exhibit efficiency and effectiveness of the proposed model with respect to several performance metrics like execution time, throughput, waiting and turnaround time, number of checkpoints and energy consumption.