Human Resource Audit – Case Study of “Ministry of Higher Education‚ Oman” By: Dr. Taraka Raghavendra Nanduru‚ Assistant Professor‚ Department of International Business‚ College of Applied Sciences‚ Ibri‚ Ministry of Higher Education‚ Sultanate of Oman GSM: 98823523 Email: raontr.ibr@cas.edu.om And Mr. Rashid Nasser Al Mataani Assistant Lecturer‚ Department of International Business‚ College of Applied Sciences‚ Ibri‚ Ministry of Higher Education‚ Sultanate of Oman GSM: 92672223
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Orientation Power Point: I assisted in revamping the orientation power point. Facts regarding the company were checked from the website. The various product ranges offered were also discussed. Competitors’ data from the R&D department were taken and the AUM (asset under management) growth was reflected to show where UBL funds stands. Moreover‚ the orientation power point included the industry overview‚ a brief history about UBL and its management‚ vision‚ mission‚ schemes and the HR policies regarding
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AUDIT COMMITTEE AND ITS PRACTICES 1. Composition‚ Names of Members and Chairperson: The Audit Committee comprises of four Independent Non-Executive Directors: Name of the Member Designation Category Mr. P. R. Barpande Chairman/Member Independent Director Mr. Chandrakant Kamdar Member Independent Director Mr. P. G. Kakodkar Member Independent Director Mr. R. Devarajan Member Independent Director 2. Brief Description of terms of reference/Responsibility of the Audit Committee:
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for by the cloud service is in accordance with the amount of work done by it. We define many different attack scenarios and propose counter schemes for each. Our simulation and theoretical analysis show that the schemes require a reasonably low verification effort at the client side‚ and provide non-repudiation property. reservations whether the server performed a complete search‚ scanning the table(s) in entirety before returning the results to the client. A. Proposed solution Fig.1 illustrates
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TETRA TRAITS FOR EFFICIENT HUMAN RECOGNITION ABSTRACT This paper proposes the multimodal biometrics system for identity verification using four traits i.e.‚ face‚ fingerprint‚ iris and signature. The proposed system is designed for applications where the training database contains a face‚ iris‚ is developed through fusion of face‚ fingerprint‚ iris and signature recognition. finally combined into a total score‚ which is passed to the decision module. Multimodal system then compared
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Psychology as a Science Psychologies earliest discovery can be dated back to the 17th century. When Rene Descartes introduced the idea of dualism. Dualism is defined as the mind and body‚ being separate from one another in order to create the human experience. Psychology has always been a branch of philosophy until the 1870s‚ where it was developed into an independent scientific field in Germany. Psychology as a field of study began in 1879‚ when Wilhelm Wundt founded the first laboratory exclusively
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Revised Taiwan Scholarship Program Guidelines This revised version was provided by the Ministry of Education on February 1‚ 2011‚ to be executed on January 1‚ 2012. I. In an effort to encourage outstanding international students (excluding students from Mainland China‚ Hong Kong and Macau) to undertake degree studies in Taiwan so as to familiarize themselves with the academic environment in Taiwan and promote communication‚ understanding and friendship between Taiwan and countries around the
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MIS ASSIGNMENT AADHAR AS IN MIS Submitted By‚ Dhiya Ann Mathew S2 mba INTRODUCTION
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true/false Depends on its truth conditions - what fact makes it true Anti-realists We need verification conditions -when truth conditions apply -and we are justified to hold them E.g. Past and present Past- can’t be repeated -ways of getting hold of it is. fallible. Said statements about the past - verification - transcendent Anti - realism is worried about the intelligibillity of statments that have verification - transcendent truth conditions For it is held‚ meaning of statement ought to be spelled
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utilization of Registration = 400/540 = 74.07% b. Verification & Hand-off: Total available time = (4*60 + 15)*3 = 255*3 = 765 min The number of follow-up patients = 80*60% = 48 people The number of new patients = 80*40% = 32 people The total time for follow-up patients = 48*4 + 48*0.85*2 = 273.6 min The total verifiaction time for new patients = 32*(9+2) = 352 min The total verification time = 273.6 + 352 = 625.6 min The utilization of Verification = 625.6/765 = 81.78% c. Direct patients / filing
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