Attendance powerpoint new we030317
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This document contains attendance percentages for various classes over two weeks. For the first week, the class with 100% attendance both days was FK & 1S, who were named the winning class. For the second week, 3R & 6BR had 100% attendance on the second day and were the winning class with an average attendance of 97.4%.
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Attendance powerpoint new we100317
This document contains percentages ranging from 90% to 99.3% broken into sections with labels. The first section does not have a label but the second is labeled "This week’s Winning Class FM" and contains percentages. The third section is labeled "This week’s Winning Class 5N" and also contains percentages.
Attndance ppt w e 171117
This document contains attendance percentages for multiple classes over two weeks. For the first week, class FM had the highest attendance rate at 97.7%. The following week, class 6K had the highest attendance rate at 97.2%, being named the winning class for that week. The document otherwise only lists attendance percentages without any other context.
Attndance ppt w e 011217
This document contains attendance percentages for two different classes over multiple days. The first class, labeled FK, had attendance percentages ranging from 91% to 98.3% over 9 days, with an average above 95%. The second class, labeled 6J, had attendance percentages ranging from 93.4% to 99.3% over 12 days, with an average above 96%. 6J had the highest overall attendance and is labeled as the winning class for the week.
Attndance ppt w e 241117
This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 95.9% to 100% for an unspecified class, identifying it as the winning class for the week. The second section lists percentages ranging from 91.7% to 98.5% for another class, identifying it as the winning class for this week.
Attndance ppt w e 081217
This document contains attendance percentages for various classes over two weeks. The first week, class FK had the highest average attendance at 98.7% and was named the winning class. The second week, class 5D had the highest average attendance at 95.3% and was named the winning class for that week.
Attendance Ppt w/e 271017
This document contains attendance percentages for various classes over two weeks. The first week, class FM had the highest attendance rate at 97.6%. The second week, class 3N had the highest attendance rate at 96.9%.
Attndance ppt w e 101117
This document contains attendance percentages for different classes over multiple weeks. The first section lists percentages ranging from 93.3% to 97.6% with an average around 95.5% and identifies the class as FM. The second section contains higher percentages ranging from 91% to 99.2% with an average around 96.2% and identifies the class as 4R as the winning class for that week.
Attndance ppt w e 151217
This document contains attendance percentages for various classes over multiple weeks. The highest percentages were 97.7%, 99.2%, and 97.3%. Classes FK and 4R had the highest overall attendance percentages for their respective weeks.
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Attendance powerpoint new we100317
This document contains percentages ranging from 90% to 99.3% broken into sections with labels. The first section does not have a label but the second is labeled "This week’s Winning Class FM" and contains percentages. The third section is labeled "This week’s Winning Class 5N" and also contains percentages.
Attndance ppt w e 171117
This document contains attendance percentages for multiple classes over two weeks. For the first week, class FM had the highest attendance rate at 97.7%. The following week, class 6K had the highest attendance rate at 97.2%, being named the winning class for that week. The document otherwise only lists attendance percentages without any other context.
Attndance ppt w e 011217
This document contains attendance percentages for two different classes over multiple days. The first class, labeled FK, had attendance percentages ranging from 91% to 98.3% over 9 days, with an average above 95%. The second class, labeled 6J, had attendance percentages ranging from 93.4% to 99.3% over 12 days, with an average above 96%. 6J had the highest overall attendance and is labeled as the winning class for the week.
Attndance ppt w e 241117
This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 95.9% to 100% for an unspecified class, identifying it as the winning class for the week. The second section lists percentages ranging from 91.7% to 98.5% for another class, identifying it as the winning class for this week.
Attndance ppt w e 081217
This document contains attendance percentages for various classes over two weeks. The first week, class FK had the highest average attendance at 98.7% and was named the winning class. The second week, class 5D had the highest average attendance at 95.3% and was named the winning class for that week.
Attendance Ppt w/e 271017
This document contains attendance percentages for various classes over two weeks. The first week, class FM had the highest attendance rate at 97.6%. The second week, class 3N had the highest attendance rate at 96.9%.
Attndance ppt w e 101117
This document contains attendance percentages for different classes over multiple weeks. The first section lists percentages ranging from 93.3% to 97.6% with an average around 95.5% and identifies the class as FM. The second section contains higher percentages ranging from 91% to 99.2% with an average around 96.2% and identifies the class as 4R as the winning class for that week.
Attndance ppt w e 151217
This document contains attendance percentages for various classes over multiple weeks. The highest percentages were 97.7%, 99.2%, and 97.3%. Classes FK and 4R had the highest overall attendance percentages for their respective weeks.
Attendance Powerpoint - Week ending Friday 20th October 2017
This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 91.7% to 98.6% without labels, followed by the label "This week's Winning Class 2M". The second section also lists attendance percentages, between 92% and 99.3%, and is labeled "This week's Winning Class 6K".
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This document contains attendance percentages for various classes over multiple weeks. The highest percentages for one week were for class 2D, with an average of 96.7%. The following week, class 6D had the highest percentages, averaging 95.9%.
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This document lists attendance percentages for multiple classes over multiple days. The class 2D had the highest average attendance this week at 98.4%, followed closely by class 3S at 96.7%. Overall, attendance percentages ranged from the low 90s to high 90s across all classes for the period.
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This document contains attendance percentages for multiple classes over multiple days. The class with the highest average attendance percentage for the week was 4B, with an average of 95.2%. The second highest average was 98.1% for class 2D. The document recognizes 2D and 4B as the winning classes for the week based on their weekly attendance percentages.
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This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 90% to 99.6% with an average around 97%, and identifies the class as 2M. The second section lists percentages ranging from 96.9% to 100% with an average similar to the first class, and identifies the class as 6R.
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This document contains attendance percentages for multiple classes over multiple weeks. The highest percentages for each week are noted as the winning class, with FM having the highest at 100% one week and 5N having the highest at 97.9% another week. The percentages range from 88% to 100% across the different classes.
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This document contains attendance percentages for two different classes over multiple days. Class 2T had the highest overall attendance percentage for the week at 96.6% and was named the winning class. Class 3N was also listed with its daily attendance percentages and had an overall weekly attendance of 96.2%.
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This document contains attendance percentages for different classes over multiple days. The 2A class had the highest overall attendance percentage for the week at 97.6%. The 3K class was also recognized as having high attendance, with an overall weekly percentage of 95.3%. Several classes achieved near perfect or perfect attendance on some individual days.
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This document lists attendance percentages for various classes over two weeks. For the first week, classes FM, 1E and 2N had the highest attendance rates above 95%. The following week, class 5N had the highest attendance rate of 100%.
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This document contains percentages for two classes over multiple days. The first class, labeled FP, had percentages ranging from 87.6% to 99.2% with an average over 90%. The second class, labeled 4B, had percentages ranging from 90.4% to 95.7% with an average just under 95%. Class FP had the highest percentages and is labeled as the winning class for the week.
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This document contains attendance percentages for two different classes over multiple days. The first class, FM, had attendance percentages ranging from 91% to 100% with an average around 96%. The second class, 6J, also had attendance ranging from 96.4% to 98.7% with an average near 97%. Both classes had high attendance overall during the week.
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This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 92.6% to 98.6% without labels, followed by 1I as the winning class that week with percentages between 87.5% to 99%. The second section lists percentages from 96.2% for another class, labeled as 6K, also over multiple days.
Attendance powerpoint new we280417
This document contains attendance percentages for two different classes over multiple days. The first class, 1E, had attendance percentages ranging from 92.6% to 100% with an average around 96%. The second class, 5C, had attendance percentages ranging from 93.8% to 98.7% with an average around 96.5%. Class 1E had the highest overall attendance and is named as the winning class for the week.
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This document contains attendance percentages for multiple classes over two weeks. The first week, class FM had the highest attendance at 99.2%. The second week, class 6BR had the highest attendance at 100%.
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This document lists percentages for two weeks of winning classes, "FK" and "5G". The percentages range from 90.3% to 98.7% for class FK and are between 92.4% and 97.9%. For class 5G, the single percentage listed is 95.4%.
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This document lists attendance percentages for various classes over two weeks, with the highest-attending class for each week listed as the winning class. For the first week, class 1E had the highest average attendance at 96.7% and was named the winning class. For the second week, class 5F had the highest average attendance at 96.3% and was named the winning class for that week.
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This document contains percentages for different classes. The highest percentages were for class 2A, with a 99% achievement rate, making them the winning class for the week. Another section shows class 5C had the next highest percentages, ranging from 95.8% to 99.2%, naming them as the winning class for the week.
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This document contains attendance percentages for various classes over multiple weeks. It lists attendance rates between 90.7% and 100% for one class labeled 2A, with an average around 95%, and attendance rates between 92.8% and 99.3% for another class labeled 5N, with an average also around 95%. Both classes are identified as having the highest attendance, or being the "Winning Class", for their respective weeks.
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This document lists attendance percentages for various classes over two weeks. The highest percentages ranged from 92% to 98.3%, with many classes above 94% and several above 96%. It also identifies the overall winning classes for each week as FM and 6J, who had strong attendance across their classrooms during that time.
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This document contains attendance percentages for different classes over multiple weeks. The highest percentage each week is marked as the winning class, with FP having the highest at 98.5% one week and 3K at 95.2% another week. The document shows attendance data for various classes.
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This document contains attendance percentages for various classes over multiple weeks. The highest attending class for the first week was 1E with an average attendance of 97.5%. The following week, classes 3K, 4B and 5M tied for the highest attendance with an average of over 95%.
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This document contains attendance percentages for multiple classes over multiple days. The class with the highest average attendance percentage for the week was 4B, with an average of 95.2%. The second highest average was 98.1% for class 2D. The document recognizes 2D and 4B as the winning classes for the week based on their weekly attendance percentages.
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This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 90% to 99.6% with an average around 97%, and identifies the class as 2M. The second section lists percentages ranging from 96.9% to 100% with an average similar to the first class, and identifies the class as 6R.
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This document contains attendance percentages for multiple classes over multiple weeks. The highest percentages for each week are noted as the winning class, with FM having the highest at 100% one week and 5N having the highest at 97.9% another week. The percentages range from 88% to 100% across the different classes.
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This document contains attendance percentages for two different classes over multiple days. Class 2T had the highest overall attendance percentage for the week at 96.6% and was named the winning class. Class 3N was also listed with its daily attendance percentages and had an overall weekly attendance of 96.2%.
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This document contains attendance percentages for different classes over multiple days. The 2A class had the highest overall attendance percentage for the week at 97.6%. The 3K class was also recognized as having high attendance, with an overall weekly percentage of 95.3%. Several classes achieved near perfect or perfect attendance on some individual days.
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This document contains percentages for two classes over multiple days. The first class, labeled FP, had percentages ranging from 87.6% to 99.2% with an average over 90%. The second class, labeled 4B, had percentages ranging from 90.4% to 95.7% with an average just under 95%. Class FP had the highest percentages and is labeled as the winning class for the week.
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This document contains attendance percentages for two different classes over multiple days. The first class, FM, had attendance percentages ranging from 91% to 100% with an average around 96%. The second class, 6J, also had attendance ranging from 96.4% to 98.7% with an average near 97%. Both classes had high attendance overall during the week.
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This document contains attendance percentages for two different classes over multiple days. The first section lists percentages ranging from 92.6% to 98.6% without labels, followed by 1I as the winning class that week with percentages between 87.5% to 99%. The second section lists percentages from 96.2% for another class, labeled as 6K, also over multiple days.
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This document contains attendance percentages for two different classes over multiple days. The first class, 1E, had attendance percentages ranging from 92.6% to 100% with an average around 96%. The second class, 5C, had attendance percentages ranging from 93.8% to 98.7% with an average around 96.5%. Class 1E had the highest overall attendance and is named as the winning class for the week.
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This document contains attendance percentages for multiple classes over two weeks. The first week, class FM had the highest attendance at 99.2%. The second week, class 6BR had the highest attendance at 100%.
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This document lists percentages for two weeks of winning classes, "FK" and "5G". The percentages range from 90.3% to 98.7% for class FK and are between 92.4% and 97.9%. For class 5G, the single percentage listed is 95.4%.
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This document lists attendance percentages for various classes over two weeks, with the highest-attending class for each week listed as the winning class. For the first week, class 1E had the highest average attendance at 96.7% and was named the winning class. For the second week, class 5F had the highest average attendance at 96.3% and was named the winning class for that week.
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This document lists attendance percentages for various classes over two weeks. The first week, class 2S had the highest average attendance at 96.2%. The second week, class 6K had the highest average attendance at 94.9% and was named the winning class for that week.
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This document contains attendance percentages for two classes over multiple days. Class FK had attendance ranging from 89.7% to 99.7%, with an average over 94%. Class 5D had attendance ranging from 94.7% to 97%, slightly higher on average than Class FK. Both classes are labeled as the winning classes for the week due to their high attendance rates.
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This document contains attendance percentages for various classes over two weeks. The first section lists percentages ranging from 93.7% to 99.3% for an unspecified class. The second section lists percentages from 90% to 100% for the winning class of the week, 2M. The third and final section lists percentages from 95% to 99.3% for the winning class of the following week, 6K.
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This document lists attendance percentages for various classes over two weeks. The first week, classes FK had the highest percentages, with all classes at 97% or above except for one at 93.8%. The second week, classes 4R and 6J tied for the highest percentages, all above 94% except for one at 92.5%.
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ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Training: ISO/IEC 27001 Information Security Management System - EN | PECB
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UP
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
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