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The Impact Of Organizational Ambidexterity On Reducing Regulatory Conflict From The Perspective Of Workers At Al Siksik Company -

Dr. Mohammaed Abed Eshtiwiey

CrossRef DOI : 10.31426/ijamsr.2020.3.8.3611

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.8.3611

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The study aims at demonstrating the impact of organizational ambidexterity in reducing regulatory conflict from the point of view of the workers at the al Siksik Company, where the study community is represented in all 150 workers, and the study relied on a simple random sample using a comprehensive survey of a number of workers 150. The study was based on the analytical descriptive approach, using the questionnaire as a data-collection tool. The results showed that the company is practicing organizational Ambidexterity highly and that the company is also exploiting its opportunities very significantly and is exploring new opportunities very much, and it has been found that the factors of reducing the organizational conflict in the company were very high relative. The companyâ€™s management prowess explains (50.0%) of the changes toward reducing regulatory conflict and the remaining 50.0% subject to other different factors.

Indefeasible Role Of Vitamin D In Covid-19

Payel Mukherjee, Arindam Chakraborty , Sunirmal Bhattacharjee, Dr. Manas Chakraborty

CrossRef DOI : 10.31426/ijamsr.2020.3.8.3612

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.8.3612

Download PDF Google Search Abstract

We are going through a tough time. COVID-19 or SARS CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2) causes pandemic in the whole world. Apart from quarantine some health measures are desperately needed to be taken as well. Mortality from COVID-19 is higher in some countries than the others. Many factors are playing essential role in this disparity including elderly people in population, general health, quality and accessibility of healthcare, socioeconomic status and most importantly Vitamin D status in the population. In this article we will be giving insights to the roles of Vitamin D in reducing respiratory tract infection, knowledge about influenza and COVID-19 epidemiology and how Vitamin D can reduce the risk.

A New Breast Cancer Detection Using Bio-Inspired Deep Neural Network.

R.Bharathiraja, M.Loganathan

CrossRef DOI : 10.31426/ijamsr.2020.3.8.3613

CrossRef DOI URL : https://doi.org/10.31426/ijamsr.2020.3.8.3613

Download PDF Google Search Abstract

One of the most frequent diseases among women is breast cancer. Early identification, individualized treatment plans, and improved knowledge are essential for cancer patients to survive. The Digital Database for Screening Mammography (DDSM) dataset was applied in this research with a deep learning network and a standard CNN. We proposed Convolutional Neural Networks (CNNs) and CNN with Hybrid Particle Swarm Gray Wolf Optimization Algorithm (HPSGWA) for breast mass identification. Pretrained CNN and CNN with HPSGW architectures extract complex characteristics from the images and boost identification rates since classification in medical imaging requires the occurrence of different characteristics. An automated CNN for classification issues using the HPSGW metaheuristic algorithm. By automatically changing hyperparameters such the no. of layers, kernels, batches, and epochs, the network was built. The optimum hyperparameter, which provides the ideal value, was used to build the last CNN. Regarding accuracy, loss rate, and duration, CNN with HPSGW performed better than CNN. CNN with HPSGW achieved 99.31% of an accuracy, 0.1442 of a loss rate, and 4.12 minutes of a time conception.

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