This document provides an overview of the typical sections in a research paper or thesis and guidance on how to write each section effectively. It discusses the purpose and content for sections like the title, abstract, introduction, methods, results, discussion, and conclusion. The document also reviews tips for strong writing like rewriting and getting feedback from others. Overall, it aims to help readers understand what should be included in a research paper and how to structure and tell a compelling story through their writing.
Study Guide for Critically Reading Scholarly ArticlesSpelman College
This template is designed to guide a collaborative composition assignment. Using a wiki or Google Docs, students can 'crowdsource' complex scholarly articles by distributing the questions. The template has also been used to enable students to create a class handout for a discussion they lead about an assigned article. This template could function as a study guide that prepares students for a quiz, synthesis essay, or in-depth class discussion about the conventions of academic writing. Regardless, the content would help instructors create lesson plans about academic writing conventions and college-level standards of reading comprehension.
Texila conference is providing huge opportunity for the researchers or scholars to present their research-based research papers.
For more Information: http://www.texilaconference.org/
Study Guide for Critically Reading Scholarly ArticlesSpelman College
This template is designed to guide a collaborative composition assignment. Using a wiki or Google Docs, students can 'crowdsource' complex scholarly articles by distributing the questions. The template has also been used to enable students to create a class handout for a discussion they lead about an assigned article. This template could function as a study guide that prepares students for a quiz, synthesis essay, or in-depth class discussion about the conventions of academic writing. Regardless, the content would help instructors create lesson plans about academic writing conventions and college-level standards of reading comprehension.
Texila conference is providing huge opportunity for the researchers or scholars to present their research-based research papers.
For more Information: http://www.texilaconference.org/
A clearly defined research question increases the chances of publication because it gives the researchers greater clarity on developing the study protocol, designing the study, and analyzing the data.
A well-defined research question also makes a good initial impression on journal editors andpeer reviewers.
In contrast, a poorly formulated research question can seriously harm your chances of publication, among other adverse effects, because it can easily lead to the perception that the research wasn’t well thought out.
Research proposal: How to Write a Research ProposalM. A. Shahzad
Most students and beginning researchers do not fully understand what a research proposal means, nor do they understand its importance. To put it bluntly, one's research is only as a good as one's proposal. An ill-conceived proposal dooms the project even if it somehow gets through the Thesis Supervisory Committee. A high quality proposal, on the other hand, not/only promises success for the project, but also impresses your Thesis Committee about your potential as a researcher.
A research proposal is intended to convince others that you have a worthwhile research project and that you have the competence and the work-plan to complete it. Generally, a research proposal should contain all the key elements involved in the research process and include sufficient information for the readers to evaluate the proposed study.
Regardless of your research area and the methodology you choose, all research proposals must address the following questions: What you plan to accomplish, why you want to do it and how you are going to do it.
The proposal should have sufficient information to convince your readers that you have an important research idea, that you have a good grasp of the relevant literature and the major issues, and that your methodology is sound.
The quality of your research proposal depends not only on the quality of your proposed project, but also on the quality of your proposal writing. A good research project may run the risk of rejection simply because the proposal is poorly written. Therefore, it pays if your writing is coherent, clear and compelling.
This training focuses on proposal writing rather than on the development of research ideas.
Customers love white papers. White papers demonstrate the strengths of your company and your products in a very credible way. In this session, you will learn how to use white papers as an effective tool for lead generation, client development, and customer retention.
George Buckbee, V.P. Marketing, ExperTune Inc. is the author of dozens of popular white papers for the automation industry.
A clearly defined research question increases the chances of publication because it gives the researchers greater clarity on developing the study protocol, designing the study, and analyzing the data.
A well-defined research question also makes a good initial impression on journal editors andpeer reviewers.
In contrast, a poorly formulated research question can seriously harm your chances of publication, among other adverse effects, because it can easily lead to the perception that the research wasn’t well thought out.
Research proposal: How to Write a Research ProposalM. A. Shahzad
Most students and beginning researchers do not fully understand what a research proposal means, nor do they understand its importance. To put it bluntly, one's research is only as a good as one's proposal. An ill-conceived proposal dooms the project even if it somehow gets through the Thesis Supervisory Committee. A high quality proposal, on the other hand, not/only promises success for the project, but also impresses your Thesis Committee about your potential as a researcher.
A research proposal is intended to convince others that you have a worthwhile research project and that you have the competence and the work-plan to complete it. Generally, a research proposal should contain all the key elements involved in the research process and include sufficient information for the readers to evaluate the proposed study.
Regardless of your research area and the methodology you choose, all research proposals must address the following questions: What you plan to accomplish, why you want to do it and how you are going to do it.
The proposal should have sufficient information to convince your readers that you have an important research idea, that you have a good grasp of the relevant literature and the major issues, and that your methodology is sound.
The quality of your research proposal depends not only on the quality of your proposed project, but also on the quality of your proposal writing. A good research project may run the risk of rejection simply because the proposal is poorly written. Therefore, it pays if your writing is coherent, clear and compelling.
This training focuses on proposal writing rather than on the development of research ideas.
Customers love white papers. White papers demonstrate the strengths of your company and your products in a very credible way. In this session, you will learn how to use white papers as an effective tool for lead generation, client development, and customer retention.
George Buckbee, V.P. Marketing, ExperTune Inc. is the author of dozens of popular white papers for the automation industry.
Significance of research - Research Methodology - Manu Melwin Joymanumelwin
“All progress is born of inquiry. Doubt is often better than overconfidence, for it leads to inquiry, and inquiry leads to invention” is a famous Hudson Maxim in context of which the significance of research can well be understood.
A presentation from the joint CILIP Information Literacy Group and Library and Information Research Group's Writing Research Proposals and Publication event.
Writing a Successful Paper (Academic Writing Engineering)Tarek Gaber
This guide describes how to explain your research in a persuasive, well-organized paper, avoiding plagiarism, tips to improve your academic English writing
Writing the winning thesis or dissertation, a step by step guide. Slides have been prepared from the book of the same name authored by Randy L. Joyner, William A. Rouse and Allan A. Glatthorn.
This must see webinar provides tips on writing the introduction and literature review sections of your dissertation. Dr. Lani provides tips on searching, reading, organizing, and writing your literature review.
These slides are related to our last event at the Sapienza University of Rome for the graduate students. Please follow our website: https://www.facebook.com/psa.sapienza
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
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/
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
2. We will be reading:
• Writing Science: How to Write Papers That Get
Cited and Proposals That Get Funded, Joshua
Schimel, 2011
3. Learning goals
• Understand what should go into a research
paper
• Understand how to structure the paper and its
sections
• Understand how to write a compelling story
4. Tips to become a better writer
• Rewrite, rewrite, rewrite
• Get feedback from others
• Read other writers and analyze what they do
• Read books about writing
5. Practical books for writing in English
• Thesaurus
• Strunk and White, The Elements of Style
9. The Title
• The first, and probably the only thing that
most people will read of your paper
10. A Title May Include
• Your independent variable(s)
• Your dependent variable(s)
• Your group sample
11. Actual Titles from CHI2013
• Analyzing user-generated YouTube videos to
understand touchscreen use by people with
motor impairments
• Extracting usability and user experience
information from online user reviews
• Predicting users’ first impressions of website
aesthetics with a quantification of perceived
visual complexity and colorfulness
13. The Abstract
• The second thing people will read
• Most people who see your paper will stop
here
• Many people who quote you will only have
read the abstract !!!
14. The Abstract
• It is a tiny version of your paper
– What you studied
– How you studied it
– What your results were
– What those results mean
16. The Introduction
• Overall area or problem under consideration
• Funnel
• Section construction:
– Overview of your argument
– Your argument
– Summary of the argument
– Link to next section
17. The hypothesis/question
• Your independent variable: what factor are
you manipulating?
– Background color, text order presentation…
• Your dependent variable: what parameter are
you measuring?
– Typing speed, pulse, number of errors…
18. Hypothesis vs. Question
• H: A red colored background should result in
more typing errors than a green colored
background
• Q: Will the color of the background affect the
number of errors during typing?
20. Sections: Your Recipe Booklet
• Method
• Participants
• Materials
• Procedure
• Analysis method (quantitative or qualitative)
21. Method: wet ingredients
• Participants
– Age (range, mean, standard deviation)
– Gender distribution
– Cultural background, language
– Anything else that is PERTINENT to your study
(controlled or manipulated variables like expertise
in the area, physiological problems, preferences…)
23. Method: Mix in a bowl…
• Procedure
– Where? When?
– What did you say before?
– What were the groups? How many in each?
– What did the groups do? In what order?
– What did you say during?
– How long was it? What marked the end?
– What did you say after?
– What did you give them as a reward or thank you?
24. Method: Stick a toothpick in it
• Analysis
– Quantitative:
• What statistical analysis did you use? Why?
• If not well known, describe it in some detail
– Qualitative:
• What qualitative analysis approach did you use? Why?
• If not well known, describe it in some detail
26. Results
• Your analysis approach
• Most important to least important results
• Indicate the results clearly
• Give the statistical results, if applicable (e.g.,
F(1,22) = 25.1, p<0.01)
• Figures and tables make for easier reading
27. Discussion
• Summarize your results, again in order of
importance
– How do they compare to other studies?
– What do your results mean, globally?
• What are the limits of your study?
• Future research
28. Conclusion
• For a thesis or a research article published in a
journal
• Usually because you have several experiments
30. Acknowledgements
• Did an agency finance this research?
• Did other students help with running the
studies or analyzing the data?
• Did somebody help shape the research or the
paper through really good suggestions or
reviews?
32. Appendices
• Questionnaires or surveys
• Illustration of study set-up, if pertinent
• Stimuli used, such as images or text
• Raw results if not too voluminous
• Figures or tables too long for the main text
34. For next week, read
• The science of scientific writing, George
Gopen and Judith Swan, American Scientist
– http://www.americanscientist.org/issues/pub/the
-science-of-scientific-writing/1
• 21 suggestions for writing good scientific
papers,
– http://course1.winona.edu/mdelong/EcoLab/21%
20Suggestions.html
Editor's Notes
Hopefully, by the end of the seminar you will have a clearer understanding ofWhat goes into a research paper or thesisHow to structure your paper overall, how to structure each section and subsection, and how to structure your paragraphsAnd how to present a compelling story in your paper or thesis
There is no magic way to become a great writer. The only way to get there is to practice. But you can also get tips from others through a variety of ways. Give your draft to someone to read and critique. If you come across a paper that is well written, sit down and look at how that person wrote their paper. And of course there is the tried and true method of reading books about writing. There are plenty out there.
Today I am going to review the different parts of a paper and try to present what should go in each of these sections
If you are describing a system, app, software, etc., that you built, things will be somewhat different. That kind of paper will still have an introduction but then it will have a description of your system, possibly followed by some tests of said system. The discussion or conclusion can contain a discussion of how your system differs from/improves upon other options out there, or how the system can still be improved, or where future work will be done, or how it will be or is being deployed. Sections in parentheses are optional
These are the first sections that people will come across so this is where you will be selling your research to people.
It’s important that you make the title clear as to what the content of your paper is so that those people who are working in the same area as you are will be motivated to read your paper. How do you this?
Independent variable: the factors you manipulatedDependent variables: the parameters you measuredThe population you sampledBy putting in your paper what it was you studied and who you studied. You may even add your results in your title.
These are all papers that either won best of or received an honorable mention for CHI this year.
An abstract in a thesis can be fairly long but it will be limited for a conference paper and for a journal paper. Here is where every word counts. It will possibly be the last thing you write because it is a tiny version of your paper
The introduction is the place where you explain how you got the idea for your study, based on what other people have done in the past in the same area or in similar areas. And of course it is where you will present either your question or your hypothesis. If you are just presenting a new technology rather than a study, then you will replace the hypothesis section with a short introduction to your technology and how it solves the issue(s) that you mentioned before in the introduction section.
Use the first sentence to establish what this paper is going to be about and why it is important.Papers in the introductory part should be presented in a funnel shape: you begin with the papers that are the most remote with regards to your hypothesis and end with the papers that are the closest to what you are going to study. Finally, and this is true of all of the sections, not just the introduction, you should try to adhere to the structure mentioned here:* start with telling people what you are going to talk about (e.g., research has shown that people who see red get angry)Present what you want to say (e.g. Jones found that red makes people angry when they had to read text on it; Davies found that people who had to make a choice were angrier if they were in a red than in a green room)Resume your argument and link to the next part (if red makes people angry, research suggests that green makes people mellow)
In your hypothesis or your question, you will present the variables that you are manipulating and the variables that you are measuring, and you will either predict the direction of the changes that you expect (for a hypothesis) or you will just say that you expect that your IV will have some sort of impact on your DV (for a question).If you are presenting a technology in a paper (not in a thesis), you will give a short explanation of how this technology is aimed at solving a specific problem that either has been encountered in the past or has not been taken into account by other researchers (e.g., this eye-tracking technology can be worn by mobile users with minimal loss of accuracy).
The methods section is the easiest part to write because it is just a description of what you have done in such a way that other people will be able to redo your experiment if they want to.
When you describe your participants, you present just what is pertinent about them to the study. The minimal amount of information that is required is their age distribution, their gender distribution, and some minimal information about their cultural background (that is, are they university students and if so, in what country). Then you expand from there depending on what is pertinent to your study. Are you using experts in a field? Athletes? Nobel prize laureates? Are you using people who have motor skill limitations? Who are blind?
In the materials section, you will describe what you used to support or create the experiment. If you are using a method created by someone else, you need to mention it here. If you built the questionnaire yourself, you need to say so. If there is something special about where you did the study (it was in a lab, it was in the field), this is where you say it. If you built a special computer program for your study, this is where you describe it.
The procedure is really the place where you explain the step-by-step procedure. How many groups did you have? What did each group do? What was the order of presentation of the tasks? What did you tell your participants and when did you tell it to them?
Finally, you should describe the type of analysis you are using, whether it is statistical or qualitative. If it is some statistics and is well known, you just have to give the name and any details needed (a 2 X 4 anova). If it is an obscure stats, then you will have to go into some detail about what it is and how it works.If it is qualitative, again, depending on how well known it is, you will have to give more or less detail about it.
This is the section where you will be telling everyone how you advanced science, or as we know it, the FUN part of the paper.
Even if you just mentioned your analysis approach in the previous section, you should remind people what approach you used here, especially if it is something exotic, because (1) people may read your paper in disorder (2) people may take a break between reading the two sectionsWhen you present your results, always start with the most important first, that is the ones that answer your hypotheses or your questions. And clearly note what the results mean (e.g., do they support your hypothesis). In second place, you will present things like if there are results that either support/contradict a theory in the area, or results that support or contradict other researchers’ studies, or if you get unexpected but interesting results for the area under study. And in third place, you will present anything else that you found. And when you present results, do so in a way that makes it clear what the results are. For example, if you are presenting quantitative data, then clearly say that Group A was faster at typing their answers than Group B; don’t just say that they were different. And present your statistical results in the appropriate shorthand. If you are presenting qualitative data, then you could indicate for example how many people talked about this issue out of the total group. Tables and figures are there to make it easier to understand your results. Use them!
Present your hypotheses/questions in order, with the pertinent results. Do your results support or contradict your hypothesis? Do they support or contradict research done by other people? It is important to link your results to what other people have found. What do these results mean, practically speaking? This is where you can make suggestions to practitioners, for example. Your study cannot cover every possible combinations of variables and user populations. You may also have noticed something that you should have measured during the study or that you should have controlled. Now is the time to list your study’s limits. Was your sample too small? Was your population a group of students?Finally you will suggest possible studies in the future.
If you have more than one experiment, in your paper you will present the results followed by the discussion for each of these experiments one after the other. For example, results exp1, discussion exp1, results exp2, discussion exp2…If this is the case, you will write a conclusion. In this conclusion, you will again review the major results you obtained from all of the studies. You will discuss how these results compare to each other and to studies by other people. And you will explain what your results mean practically. You may keep the limits to the studies and the future studies for the conclusion part.
Finally,there are a few sections that don’t require too much thought to create.
Say your thanks to the people who helped you do this study. In a thesis, the acknowledgements will actually be at the beginning of the paper.
The reference section is not a bibliographic list.
The appendix section is to add anything that will help people understand your study.