This document discusses different types of research including historical, descriptive, correlational/predictional, causal-comparative, experimental, and the two general categories of pure and applied research. It defines scientific research as a systematic, controlled, empirical, and critical investigation of hypothetical propositions. The key characteristics of research include originating with a question or problem, requiring clear goals and procedures, being guided by a specific problem or hypothesis, and collecting and interpreting data to attempt to resolve the initiating problem.
Objectives:
1. Distinguish the different Types of Research
2. Differentiate quantitative and qualitative data
3. Identify the approaches to Research
4. Cite examples of different Kinds of Research Across Fields
You can watch here: https://www.youtube.com/watch?v=w_IZXxN58ag&t=24s
this is ppt of scientific , social and behavioral method of Research. this highlight all important task related to this. we can give my seminar by explaining it . Email id -govindkr456@gmail.com(for further detail)
Objectives:
1. Distinguish the different Types of Research
2. Differentiate quantitative and qualitative data
3. Identify the approaches to Research
4. Cite examples of different Kinds of Research Across Fields
You can watch here: https://www.youtube.com/watch?v=w_IZXxN58ag&t=24s
this is ppt of scientific , social and behavioral method of Research. this highlight all important task related to this. we can give my seminar by explaining it . Email id -govindkr456@gmail.com(for further detail)
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It is a powerpoint presentation that discusses about the lesson or topic: Non-Mendelian Inheritance. It also talks about the definition, history and the laws included in the Non-Mendelian Inheritance or Non-Mendelian Genetics.
Introduction
In life, there are universal laws that govern everything we do. These laws are so perfect that if you were to align yourself with them, you could have so much prosperity that it would be coming out of your ears. This is because God created the universe in the image and likeness of him. It is failure to follow the universal laws that causes one to fail. The laws that were created consisted of the following: ·
Law of Gratitude: The Law of Gratitude states that you must show gratitude for what you have. By having gratitude, you speed your growth and success faster than you normally would. This is because if you appreciate the things you have, even if they are small things, you are open to receiving more.
Law of Attraction: The Law of Attraction states that if you focus your attention on something long enough you will get it. It all starts in the mind. You think of something and when you think of it, you manifest that in your life. This could be a mental picture of a check or actual cash, but you think about it with an image.
Law of Karma: the Law of Karma states that if you go out and do something bad, it will come back to you with something bad. If you do well for others, good things happen to you. The principle here is to know you can create good or bad through your actions. There will always be an effect no matter what.
Law of Love: the Law of Love states that love is more than emotion or feeling; it is energy. It has substance and can be felt. Love is also considered acceptance of oneself or others. This means that no matter what you do in life if you do not approach or leave the situation out of love, it won't work.
Law of Allowing: The Law of Allowing states that for us to get what we want, we must be receptive to it. We can't merely say to the Universe that we want something if we don't allow ourselves to receive it. This will defeat our purpose for wanting it in the first place.
Law of Vibration: the Law of Vibration states that if you wish on something and use your thoughts to visualize it, you are halfway there to get it. To complete the cycle you must use the Law of Vibration to feel part of what you want. Do this and you'll have anything you want in life.
For everything to function properly there has to be structure. Without structure, our world, or universe, would be in utter chaos. Successful people understand universal laws and apply them daily. They may not acknowledge that to you, but they do follow the laws. There is a higher power and this higher power controls the universe and what we get out of it. People who know this, but wish to direct their own lives, follow the reasons. Successful people don't sit around and say "I'll try," they say yes and act on it.
Chapter - 1
The Law of Attraction
The law of attraction is the most powerful force in the universe. If you work against it, it can only bring you pain and misery. Successful people know this but have kept it hidden from the lower class for centuries because th
The systematic investigation into and study of materials, sources, etc, in order to establish facts and reach new conclusions. Research is what we do when we have a question or a problem we want to resolve. Research is a systematic inquiry to describe, explain, predict and control the observed phenomenon. The first module highlights an overview of all concepts adopted in Research.
Introduction to Research by Aniket Singh ChauhanAniket Chauhan
This presentation delves into the fundamentals of research, exploring key concepts such as the role of theory in shaping research endeavors, ethical considerations in conducting research, and the importance of selecting a relevant research area or topic. Through a comprehensive review of literature, researchers can identify gaps in existing knowledge and develop a theoretical framework to guide their investigations.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
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Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
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- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
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SAP heatmap example with demo
Speaker:
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3. RESEARCH
the process of constant exploration and
discovery
the process of discovering new
information and gain new knowledge
4. SCIENTIFIC RESEARCH
systematic, controlled, empirical,
critical investigation of hypothetical
prepositions about the presumed
relations among natural phenomena
(Kerlinger, 1973)
5. SCIENTIFIC RESEARCH
a process through which we attempt to
achieve SYSTEMATICALLY and with
the support of data:
the answer to a question
the resolution of a problem
the greater understanding of a
phenomenon
7. 1. Originates with a question or
problem
What are he environmental factors that
increase shrimp productivity?
What active compound in atis leaves
extract is cytotoxic to cancer cells?
8. 2. Requires a clear articulation of
a goal
What precisely do you intend to do?
Example: to determine the difference in
body weight loss after administration of
various plant extracts
9. 3. Follows a specific plan of
procedure
carefully planned
methods in a purposeful way: to yield
data relevant to their particular research
problem
10. 4. Usually divides the principal problem into
more manageable subproblems
principal problem: How do we get from
UP Manila to Trinoma?
subproblems:
What is the most direct route?
How far do I travel by train?
How much will I spend to reach my
destination?
11. 5. Guided by specific research problem,
question or hypothesis
hypothesizing: attempting to account
for the cause (*guesses)
13. 7. Research requires the
collection and interpretation of
data in attempting to resolve the
problem that initiated the
research
14. 8. It follows logical,
developmental stages
From questions to answer
“research begets research”
15.
16. SIGNIFICANCE OF RESEARCH
To contemporary concerns of nationhood and development
introduce a new technology?
address current social, economic, political, or cultural problems
produce innovations in natural and human resource
management
Within the scientific or artistic domain to which it belongs
contribute new information or additional knowledge to the
discipline where it belongs
fill out data gaps?
Provide new point-of-view to previously studied phenomena
17. ULTIMATE AIM OF RESEARCH
To fill in the gaps along the stream of knowledge
To provide solution to contradictory results from
previous studies
To satisfy one’s curiosity and quest for
knowledge
To find truths for the satisfaction of answering
questions and using this new information to
help others
18. DIFFERENT TYPES OF RESEARCH
They differ in terms of:
purpose
special features
time frame
degree of control over factors
21. 1. HISTORICAL
Purpose: investigate the nature of events
that have occurred (trend analysis)
Special Feature: use of historical
documents and interviews with primary
and secondary sources
Q: Can you name a challenge for this
type of research?
22. 2. DESCRIPTIVE
Purpose: gather information, describe the
nature of a situation; to collect data to test
Ho
It determines and reports the way things are
it can only measure what already exists
methods: questionnaire, survey
instruments etc
23. 3. CORRELATIONAL/
PREDICTIONAL
Purpose: to determine extent to which different
variables are related to each other in the
population of interest but does not imply the
one that cause the other
does not identify “Cause and effect”
current or past: future prediction
Example: The relationship between creativity
and mental ability among students
24. 4. CAUSAL-COMPARATIVE
Purpose: to study the association between two
variables; to examine the cause and effect
also known as ex post facto research from “after the
fact” wherein the researcher investigates a problem by
studying the variables in retrospect (looking back)
dependent variable is immediately observable and
now the main concern is to find out the antecedents
that gave rise to this consequence
Example: 1.!The effect of smoking on hearing
25. 5. EXPERIMENTAL
Purpose: the only method of research which can truly test ! ! !
hypothesis concerning cause-effect relationship.
the effect of a single variable applied to one situation can be assessed and
the difference determined
Independent Variable : also referred to as the experimental variable, the
cause, or the treatment, is that activity or characteristic believed to make a
difference.
Dependent Variable : also known as the criterion variable, effect, or posttest
is the outcome of the study, the change or difference in groups which
occurs as a result of the manipulation of the independent variable.
Example: 1.! ffect of varying concentrations of Pb on the brain of golden
E
apple snail
27. PURE RESEARCH
Aims to discover basic truths or principles
Intends to add to the body of scientific knowledge by exploring
the unknown and discovering new facts without any
particular thought as to immediate practical utility (Shubin,
1971)
Examples:
Physiological Researches
Predator-prey and Competition Experiments in Ecology
Taxonomic and biodiversity studies
Quantum and plasma physics research
28. APPLIED RESEARCH
Involves seeking new applications of scientific knowledge to the
solution of a problem (development of a new system or procedure,
new device, or new method)
Examples:
Biotechnology Researches
classical breeding
genetic engineering!
cloning studies
Information technology