The document presents results from a survey measuring attitudes towards cinema experiences. It finds that most respondents strongly agree that talking loudly and having phone conversations in cinemas are irritating, but attitudes are more mixed around selling foods like fruits, salads, chocolates and junk foods. Males aged 18-21 made up the largest demographic group among respondents.
1. The document presents a game where the reader chooses a number between 1 and 60 and then checks if their number appears in a series of lists.
2. Each list contains numbers between 1 and 60 in various arrangements. The reader is prompted to select whether their number appears in the list or not.
3. Based on the reader's responses, the game will either tell them to try again or reveal that their number is not in the lists. The goal seems to be for the reader to guess a number that matches one in the lists.
The document appears to be a loan repayment schedule containing information about loan dates, amounts, and borrower details. It includes sections for the loan date, capital amount, repayment quota, borrower name, signature, and ID number. The bulk of the document consists of two tables outlining the repayment dates from days 1 to 30 in monthly installments.
The document appears to contain demographic survey data from 16 respondents including their age, gender, home ownership status, marital status, salary, and number of children. It provides frequency tables and pie charts showing the distribution of respondents by age group and salary range. For age, most respondents (31.25%) were between 31-35, and for salary, most (50%) earned between $2000-$2999.
1. The document presents a game where the reader chooses a number between 1 and 60 and then checks if their number appears in a series of lists.
2. Each list contains numbers between 1 and 60 in various arrangements. The reader is prompted to select whether their number appears in the list or not.
3. Based on the reader's responses, the game will either tell them to try again or reveal that their number is not in the lists. The goal seems to be for the reader to guess a number that matches one in the lists.
The document appears to be a loan repayment schedule containing information about loan dates, amounts, and borrower details. It includes sections for the loan date, capital amount, repayment quota, borrower name, signature, and ID number. The bulk of the document consists of two tables outlining the repayment dates from days 1 to 30 in monthly installments.
The document appears to contain demographic survey data from 16 respondents including their age, gender, home ownership status, marital status, salary, and number of children. It provides frequency tables and pie charts showing the distribution of respondents by age group and salary range. For age, most respondents (31.25%) were between 31-35, and for salary, most (50%) earned between $2000-$2999.
Validating and improving the D. melanogaster reference genome sequence using ...Casey Bergman
1) The document discusses using PacBio long read sequencing to improve the Drosophila melanogaster reference genome assembly.
2) PacBio sequencing generated over 15 billion bases of long read data, which was used to assemble the genome into contigs over 15 Mb in length with fewest errors compared to the reference.
3) The PacBio assemblies helped close gaps in the reference genome and generated large contigs from heterochromatic regions that were previously unassembled.
This document discusses how the educational platform Edmodo can be used as a virtual learning environment to enhance language learning. It provides examples of how Edmodo allows teachers to share class materials, students to submit assignments, and facilitates communication between teachers and students. Additional ideas are presented such as using Edmodo for book clubs, facilitating discussions, organizing collaborative projects in small groups, and keeping parents informed.
The document discusses dependency injection and inversion of control design patterns. It describes how loosely coupled systems can be achieved through constructor injection using an IoC container. The container handles resolving dependencies and managing object lifecycles, improving extensibility, testability, and reusability of code. Examples show how a trade monitor class is decoupled from its data access dependencies using interfaces, factories, and finally a Windsor IoC container for full dependency injection and management.
Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, herds of land animals. Some human artifacts also fall into the domain of swarm intelligence, notably some multi-robot systems, and also certain computer programs that are written to tackle optimization and data analysis problems.
Taxonomy of Swarm Intelligence
Swarm intelligence has a marked multidisciplinary character since systems with the above mentioned characteristics can be observed in a variety of domains. Research in swarm intelligence can be classified according to different criteria.
Natural vs. Artificial: It is customary to divide swarm intelligence research into two areas according to the nature of the systems under analysis. We speak therefore of natural swarm intelligence research, where biological systems are studied; and of artificial swarm intelligence, where human artifacts are studied.
Scientific vs. Engineering: An alternative and somehow more informative classification of swarm intelligence research can be given based on the goals that are pursued: we can identify a scientific and an engineering stream. The goal of the scientific stream is to model swarm intelligence systems and to single out and understand the mechanisms that allow a system as a whole to behave in a coordinated way as a result of local individual-individual and individual-environment interactions. On the other hand, the goal of the engineering stream is to exploit the understanding developed by the scientific stream in order to design systems that are able to solve problems of practical relevance.
The two dichotomies natural/artificial and scientific/engineering are orthogonal: although the typical scientific investigation concerns natural systems and the typical engineering application concerns the development of an artificial system, a number of swarm intelligence.Natural/Scientific: Foraging Behavior of Ants
In a now classic experiment done in 1990, Deneubourg and his group showed that, when given the choice between two paths of different length joining the nest to a food source, a colony of ants has a high probability to collectively choose the shorter one. Deneubourg has shown that this behavior can be explained via a simple probabilistic model in which each ant decides where to go by taking random decisions based on the intensity of pheromone perceived on the ground, the pheromone being deposited by the ants while moving from the nest to the food source and back.
Artificial/Scientific: Clustering by a Swarm of Robots
Several ant species cluster corpses to form cemeteries.
To understand the Supply chain of ATLAS HONDA (Repaired)Obaid ul Rehman
The Atlas Honda Limited (AHL) is a joint venture between the Atlas Group and Honda Motors Company of Japan established in 1962. It manufactures and markets Honda motorcycles in Pakistan through collaboration with Honda. AHL has two production plants in Karachi and Sheikhupura. The Sheikhupura plant produces over 1650 motorcycles per day of four models, while the Karachi plant produces 400 motorcycles per day of one model. AHL aims to achieve high customer satisfaction through meeting quality standards and continuous technology induction.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
Validating and improving the D. melanogaster reference genome sequence using ...Casey Bergman
1) The document discusses using PacBio long read sequencing to improve the Drosophila melanogaster reference genome assembly.
2) PacBio sequencing generated over 15 billion bases of long read data, which was used to assemble the genome into contigs over 15 Mb in length with fewest errors compared to the reference.
3) The PacBio assemblies helped close gaps in the reference genome and generated large contigs from heterochromatic regions that were previously unassembled.
This document discusses how the educational platform Edmodo can be used as a virtual learning environment to enhance language learning. It provides examples of how Edmodo allows teachers to share class materials, students to submit assignments, and facilitates communication between teachers and students. Additional ideas are presented such as using Edmodo for book clubs, facilitating discussions, organizing collaborative projects in small groups, and keeping parents informed.
The document discusses dependency injection and inversion of control design patterns. It describes how loosely coupled systems can be achieved through constructor injection using an IoC container. The container handles resolving dependencies and managing object lifecycles, improving extensibility, testability, and reusability of code. Examples show how a trade monitor class is decoupled from its data access dependencies using interfaces, factories, and finally a Windsor IoC container for full dependency injection and management.
Swarm intelligence is the discipline that deals with natural and artificial systems composed of many individuals that coordinate using decentralized control and self-organization. In particular, the discipline focuses on the collective behaviors that result from the local interactions of the individuals with each other and with their environment. Examples of systems studied by swarm intelligence are colonies of ants and termites, schools of fish, flocks of birds, herds of land animals. Some human artifacts also fall into the domain of swarm intelligence, notably some multi-robot systems, and also certain computer programs that are written to tackle optimization and data analysis problems.
Taxonomy of Swarm Intelligence
Swarm intelligence has a marked multidisciplinary character since systems with the above mentioned characteristics can be observed in a variety of domains. Research in swarm intelligence can be classified according to different criteria.
Natural vs. Artificial: It is customary to divide swarm intelligence research into two areas according to the nature of the systems under analysis. We speak therefore of natural swarm intelligence research, where biological systems are studied; and of artificial swarm intelligence, where human artifacts are studied.
Scientific vs. Engineering: An alternative and somehow more informative classification of swarm intelligence research can be given based on the goals that are pursued: we can identify a scientific and an engineering stream. The goal of the scientific stream is to model swarm intelligence systems and to single out and understand the mechanisms that allow a system as a whole to behave in a coordinated way as a result of local individual-individual and individual-environment interactions. On the other hand, the goal of the engineering stream is to exploit the understanding developed by the scientific stream in order to design systems that are able to solve problems of practical relevance.
The two dichotomies natural/artificial and scientific/engineering are orthogonal: although the typical scientific investigation concerns natural systems and the typical engineering application concerns the development of an artificial system, a number of swarm intelligence.Natural/Scientific: Foraging Behavior of Ants
In a now classic experiment done in 1990, Deneubourg and his group showed that, when given the choice between two paths of different length joining the nest to a food source, a colony of ants has a high probability to collectively choose the shorter one. Deneubourg has shown that this behavior can be explained via a simple probabilistic model in which each ant decides where to go by taking random decisions based on the intensity of pheromone perceived on the ground, the pheromone being deposited by the ants while moving from the nest to the food source and back.
Artificial/Scientific: Clustering by a Swarm of Robots
Several ant species cluster corpses to form cemeteries.
To understand the Supply chain of ATLAS HONDA (Repaired)Obaid ul Rehman
The Atlas Honda Limited (AHL) is a joint venture between the Atlas Group and Honda Motors Company of Japan established in 1962. It manufactures and markets Honda motorcycles in Pakistan through collaboration with Honda. AHL has two production plants in Karachi and Sheikhupura. The Sheikhupura plant produces over 1650 motorcycles per day of four models, while the Karachi plant produces 400 motorcycles per day of one model. AHL aims to achieve high customer satisfaction through meeting quality standards and continuous technology induction.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
South African Journal of Science: Writing with integrity workshop (2024)
Group presentation
1.
2. STRONGLY AGREE (SA) AGREE (A) DISAGREE (D) STRONGLY DISAGREE (SD)
NO. QUESTION TOTAL
MALE FEMALE MALE FEMALE MALE FEMALE MALE FEMALE
A) i. I want the cinema to sell slices fruits 15 12 22 33 11 3 3 1 100
ii. I want the cinema to sell salads. 4 5 18 20 21 17 8 7 100
iii. I do not want the cinema to sell chocolates 8 7 7 6 18 15 18 21 100
B) i. I want to eat fruits and salads. 9 3 17 26 21 15 4 5 100
ii. I do not want to eat junk foods. 5 11 6 2 25 19 15 17 100
C) i. The ticket rates on weekend are expensive? 27 22 20 19 4 5 0 3 100
ii. I pay the ticket on my own. 21 15 28 31 0 2 2 1 100
I like people to have a conversation on the phone in
D) i. 0 3 0 0 12 5 39 41 100
the cinema.
ii. I do not like parents to bring small kids to a cinema. 17 14 16 16 11 14 7 5 100
iii. I feel irritated when people talk loudly in the cinema. 40 37 8 6 1 1 2 5 100
TOTAL 146 129 142 159 124 96 98 106 1000
3. GENDER
49
Female
51
Male
48 48.5 49 49.5 50 50.5 51
FREQUENCY / PERCENTAGE
Gender n
Male 51
Female 49
Total 100
4. AGE RANGE BETWEEN MALE AND FEMALE
40
FREQUENCY / PERCENTAGE 35
30 36
25
30
MALE
20
FEMALE
15
15
10
5 8
6 5
0
18 - 21 22 - 25 26 & above
AGE RANGE MALE FEMALE
18 - 21 30 36
22 - 25 15 8
26 & above 6 5
TOTAL 51 49
5. ITEMS SA A D SD
A)i. 27 55 14 4
ii. 9 38 38 15
iii. 15 13 33 39
B)i. 12 43 36 9
ii. 16 8 44 32
C)i. 49 39 9 3
ii. 36 59 2 3
D)i. 3 0 17 80
ii. 31 32 25 12
iii. 77 14 2 7
Code Likert Scales
SA Strongly Agreed
A Agreed
D Disagreed
SD Strongly Disagreed
Code Items
A) i. I want the cinema to sell slices fruits
ii. I want the cinema to sell salads.
iii. I do not want the cinema to sell chocolates
B) i. I want to eat fruits and salads.
ii. I do not want to eat junk foods.
C) i. The ticket rates on weekend are expensive?
ii. I pay the ticket on my own.
D) ii. I like people to have a conversation on the phone in the cinema.
i.
ii. I do not like parents to bring small kids to a cinema.
iii. I feel irritated when people talk loudly in the cinema.
6. A SUMMARY OF RESULTS
80
80
70 77
60
FREQUENCY / PERCENTAGE
50 59
55
49
40 SA
43
44 A
39
39 D
30 36
3838 36 SD
33 32 32
31
20
27 25
17
14 15 15 16
10 14
13 12 12
9 9 8 9
7
4 3 3 0 2
0 2 3
A)i. ii. iii. B)i. ii. C)i. ii. D)i. ii. iii.
ITEMS