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The Learning Cycle 🌱

The Learning Cycle 🌱

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At The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle

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πŸ“ˆ Analytical overview of Telegram channel The Learning Cycle 🌱

Channel The Learning Cycle 🌱 (@learningcycle) in the English language segment is an active participant. Currently, the community unites 31 550 subscribers, ranking 6 131 in the Education category and 1 278 in the USA region.

πŸ“Š Audience metrics and dynamics

Since its creation on Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ, the project has demonstrated rapid growth, gathering an audience of 31 550 subscribers.

According to the latest data from 31 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 728 over the last 30 days and by 27 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 14.07%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
  • Thematic interests: Content is focused on key topics such as reader, edit, archive, ebook, anna.

πŸ“ Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
β€œAt The Learning Cycle, we champion collective learning & growth, dedicating our community to sharing resources and opportunities that empower individuals on their learning journeys. Buy ads: https://telega.io/c/learningcycle”

Thanks to the high frequency of updates (latest data received on 01 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

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1. University of Manitoba Fellowship | Fully Funded Deadline: July 31, 2024 https://umanitoba.ca/community/alumni/alumni-association/alumni-association-scholarships/graduate-fellowship

Python for Bioinformatics Projects and Drug Discovery: https://morioh.com/p/7fe85ed008f3?f=5c224490c513a556c9042463 Modern Genetics & Biotechnology: https://t.me/allomics BIOINFORMATICS open Access Online Resources carefully collected over Many years 1. https://pubmed.ncbi.nlm.nih.gov/?term=Bioinformatics&sort= 2. http://bio-protocol.org/Default.aspx 3. https://www.vlab.co.in/broad-area-biotechnology-and-biomedical-engineering 4. http://rosalind.info/glossary/ 5. http://ghr.nlm.nih.gov/glossary 6. http://rosalind.info/courses/ 7. http://nptel.ac.in/courses/117106113/ 8. https://www.vlab.co.in/broad-area-computer-science-and-engineering 9. https://www.codecademy.com/resources/cheatsheets/all 10. http://nptel.ac.in/courses/102101003/ 11. https://www.ncert.nic.in/textbook.php( "Class XI" and "Class XII" under the drop-down menus) 12. https://stepik.org/catalog/search?q=Bioinformatics 13. https://www.coursera.org/search?query=Bioinformatics & 15. https://www.edx.org/search?q=Bioinformatics 16. https://nptel.ac.in/courses/102/104/102104056/ 17. https://www.mygoblet.org/training-materials/#trainingmaterialstabs|0 18. https://www.biosb.nl/archive-courses/ 19. https://shodhganga.inflibnet.ac.in/simple-search?query=Bioinformatics 20. http://bioinformaticsinstitute.ru/en 21. https://www.ibiology.org/biology-topics/ 22. http://www.cdfd.org.in/empc/scm_classes.html 23. http://bpa-csiro-workshops.github.io/btp-workshop-ngs/ 24. https://www.biostarhandbook.com/ 25. http://www.startbioinfo.org/ 26. http://www.cdfd.org.in/empc/scm_classes.html 27. https://bio.tools/ 28) https://www.embnet.org/wp/quick-guides/ https://www.embnet.org/wp/critical-guides/ 29. https://www.wipo.int/tools/en/gsearch.html?q=Bioinformatics 30. http://countbio.com/ 31. https://www.ebi.ac.uk/training/on-demand 32. http://www.staff.hs-mittweida.de/~wuenschi/doku.php?id=rwbook2 33. https://biotech.co.in/en/binc-bioinformatics-national-certification 34. https://www.youtube.com/results?search_query=ncbi+now 35. https://scilifelab.github.io/courses/ 36. https://www.imsc.res.in/~kabru/parapp/bioinformatics_notes.pdf 37. https://tess.elixir-europe.org/materials 38. https://www.agmoocs.in/courses 39. AWK one liners- http://www.pement.org/awk/awk1line.txt 40. http://rsg-uk.iscbsc.org/resources/16-education-resources.html 41. https://rsgturkey.com/en/resources/ 42. https://iscb-mx.github.io/ 43. https://www.bioinformatics.recipes/ https://www.bioinformatics.recipes/project/list/ https://www.bioinformatics.recipes/latest/recipes/ 44. https://nptel.ac.in/courses/102/106/102106065/ 45. https://onlinecourses.swayam2.ac.in/cec21_bt04/preview 46. https://bioinformaticsdotca.github.io/ 47. https://edu.t-bio.info/collections/ 48. https://edu.t-bio.info/lp-courses/ 49. https://bioconductor.org/help/course-materials/ 50. https://www.iscb.org/education-and-training-resources #newliferesearchfoundationteam

Learn Python, R & SQL Programming, Bioinformatics, Genomics & Omics/Multiomics, Advanced Genetics, Biotechnology, Bash Scripting, Biostatistics, Statistics and Probability, Machine Learning, Artificial Intelligence, Large Language Models, LangChain, ChatGPT/ChatGPT Plus (4), etc @everyone, we carefully compiled these materials for those who willl be starting their studies soon, you can also find them useful for self-studying. (1) Python, R & SQL Programming, AI - ML/DL (a) From Blogs such as W3Schools, Machine Learning Mastery, Towards Data Science, Kaggle, Coursera, Analytics Vidhya, Leetcode, Khan Academy, Skikit learn, DataCamp, GeekforGeeks, Educative.io, GitHub repositories, Simplilearn, Edureka, mit.edu.courses, ETH Python Course, Symposium materials from GT, dev.to courses, developers.google, byjusfutureschools.edu, Real Python, c-sharpcorner.com, etc - https://docs.google.com/document/d/1--9XgjuOv9ZhDfuGDpUzE1e04JCTtrijSHgMnZ7MI9Y/edit (b) BioPython - For Projects http://biopython.org/DIST/docs/tutorial/Tutorial.html (c) Deep Learning https://dl.ebooksworld.ir/books/Deep.Learning.for.Coders.with.fastai.and.PyTorch.Howard.Gugger.OReilly.9781492045526.EBooksWorld.ir.pdf (d) Computational Genomics with R https://compgenomr.github.io/book/ (e) SQL https://www.sqlbot.co/ https://www.w3schools.com/sql/ https://www.kaggle.com/learn/intro-to-sql https://www.kaggle.com/learn/advanced-sql https://www.kaggle.com/code/dimarudov/data-analysis-using-sql (2) Maths of Machine Learning By deeplearning.ai https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ (b) ChatGPT for Education and Research Chat GPT 4 - ChatGPT Free Download AI ChatBot: Smart Assistant and enjoy it on your iOS. Simplify your life with a smart assistant chatgpt. The only difference between the two chatbots is the number of parameters used in their architecture. ChatGPT uses the transformer model with 12 layers and 117 million parameters. However, ChatGPT Plus is powered by a 24-layer transformer model with 1.5 billion parameters. https://medium.com/@ind/chatgpt-vs-chatgpt-plus-a-comparison-e8b233165def https://www.producthunt.com/stories/is-chatgpt-plus-worth-it-chatgpt-paid-vs-free https://drasmajabeen.com/chatgpt-for-scientific-research-paper-writing/ (c) Researchers Discover a More Flexible Approach to Machine Learning: https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ (d) LangChain AI in Python https://python.langchain.com/docs/use_cases/code_understanding https://pypi.org/project/langchain/ (e) Chain-of-thought (CoT) AI ThoughtSource: A central hub for large language model reasoning data - A Nature paper: https://www.nature.com/articles/s41597-023-02433-3 (3) Shomu's Biology - Any topic in Biology, e.g: (a) Advanced Genetics - Lecture Part 1-13 - https://m.youtube.com/watch?v=3eKZ3ffUA2Y&t=5s Quantitative Genetics Problems - part 1-13 (b) Biostatistics Part 1-14 - https://m.youtube.com/watch?v=Ip7NDs1oDOo (c) Population Genetics Part 1-20 - https://m.youtube.com/watch?v=L7rpgdOsq_s Population Genetics problems and maths problems in population genetics part 1 to Chapter 8 problems - https://m.youtube.com/watch?v=fNZ9wBb3Opw (d) Ecology Part 1-19 - https://m.youtube.com/watch?v=mQ16jszjyFo (e) Epidemiology https://m.youtube.com/watch?v=sB4EBtPPDdw (f) Bioinformatics and Practical Bioinformatics - 42 videos in total Part 1-17 with practical bioinformatics aspects 1-23 - https://m.youtube.com/watch?v=w-uk-_TOgR0&list=PLb0WW0k29aHrF8aZzK17ORTesZsd-lING&index=1&pp=iAQB (g) Data Analysis in Medicine and Health Using R https://lnkd.in/dRg6jFu5 Other Bioinformatics Resources BabrahamBioinf videos: https://www.youtube.com/watch?v=mQ2KbMOJOXU NCBI: https://www.youtube.com/watch?v=QIZ8QH6JcC8 EMBL: https://www.youtube.com/playlist?list=PL67E0627174F36FCF Bioinformatics WorkBook: https://bioinformaticsworkbook.org/list.html#gsc.tab=0

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Common Scholarships in Asian Countries During our scholarship webinar earlier this year, we promised to compile a list of scholarships from Asian countries and post them here. Many thanks to Bernard Gogo and our team for compiling these scholarships for us: 1. Malaysian Technical Cooperation Program (MTCP): https://mtcp.kln.gov.my/ 2. Taiwan Scholarship Program: https://english.moe.gov.tw/cp-24-16833-23C09-1.html 3. Global Korea Scholarship, NIIED: http://www.niied.go.kr/user/nd35203.do 4. Doha Institute Scholarships: https://www.dohainstitute.edu.qa/en/Admissions-Office/Pages/Scholarships.aspx 5. Hamad bin Khalifa University Scholarship: https://www.hbku.edu.qa/sites/default/files/academics/ac-a-14.v01.pdf 6. King Fahd University Scholarships: http://www1.kfupm.edu.sa/deanships/dgs/Pages/en/Full-MS-PhD-Scholarships-Opportunity.aspx 7. King Abdulaziz Scholarship: https://www.kau.edu.sa/Content-0-EN-285332 8. Abu Dhabi University Scholarship: https://www.adu.ac.ae/study/financials/scholarships 9. Singapore International Graduate Award (SINGA): https://www.a-star.edu.sg/Scholarships/for-graduate-studies/singapore-international-graduate-award-singa 10. Chulabhorn Graduate Institute Scholarship: https://www.cgi.ac.th/admissions/cgi-scholarship-international/ 11. Graduate Scholarship Program for ASEAN and NON-ASEAN Countries Chulalongkorn: https://daadscholarship.com/chulalongkorn-university-graduate-scholarship-2024/#:~:text=Open%20to%20international%20graduate%20students,current%20students%20at%20Chulalongkorn%20University. 12. JGSEE Scholarship: https://www.jgsee.kmutt.ac.th/v3/scholarships/ 13. Sirindhorn International Institute of Technology (SIIT) Scholarships: https://cet.siit.tu.ac.th/scholarships 14. China Scholarship Council: https://www.chinesescholarshipcouncil.com/ 15. Jiangsu Government Scholarship: https://studyabroad.jiangnan.edu.cn/English/Scholarships/Jiangsu_Government_Scholarship.htm 16. MOFCOM Scholarship: https://www.chinesescholarshipcouncil.com/mofcom-scholarship-china.html 17. Schwarzman Scholars: https://www.schwarzmanscholars.org/ 18. Zhengzhou University President Scholarship: http://international.zzu.edu.cn/en/scholarship/detail?cid=49&pid=5&detail=13 19. MEXT scholarship: https://www.studyinjapan.go.jp/en/planning/scholarships/mext-scholarships/ 20. Honjo International Scholarship Foundation: https://www.hisf.or.jp/en/ 21. Joint Japan World Bank Graduate Scholarship Program: https://www.worldbank.org/en/programs/scholarships/jj-wbgsp Best of luck in your applications. #newliferesearchfoundationteam

Python for Bioinformatics Projects and Drug Discovery: https://morioh.com/p/7fe85ed008f3?f=5c224490c513a556c9042463 Modern Genetics & Biotechnology: https://t.me/allomics BIOINFORMATICS open Access Online Resources carefully collected over Many years 1. https://pubmed.ncbi.nlm.nih.gov/?term=Bioinformatics&sort= 2. http://bio-protocol.org/Default.aspx 3. https://www.vlab.co.in/broad-area-biotechnology-and-biomedical-engineering 4. http://rosalind.info/glossary/ 5. http://ghr.nlm.nih.gov/glossary 6. http://rosalind.info/courses/ 7. http://nptel.ac.in/courses/117106113/ 8. https://www.vlab.co.in/broad-area-computer-science-and-engineering 9. https://www.codecademy.com/resources/cheatsheets/all 10. http://nptel.ac.in/courses/102101003/ 11. https://www.ncert.nic.in/textbook.php( "Class XI" and "Class XII" under the drop-down menus) 12. https://stepik.org/catalog/search?q=Bioinformatics 13. https://www.coursera.org/search?query=Bioinformatics & 15. https://www.edx.org/search?q=Bioinformatics 16. https://nptel.ac.in/courses/102/104/102104056/ 17. https://www.mygoblet.org/training-materials/#trainingmaterialstabs|0 18. https://www.biosb.nl/archive-courses/ 19. https://shodhganga.inflibnet.ac.in/simple-search?query=Bioinformatics 20. http://bioinformaticsinstitute.ru/en 21. https://www.ibiology.org/biology-topics/ 22. http://www.cdfd.org.in/empc/scm_classes.html 23. http://bpa-csiro-workshops.github.io/btp-workshop-ngs/ 24. https://www.biostarhandbook.com/ 25. http://www.startbioinfo.org/ 26. http://www.cdfd.org.in/empc/scm_classes.html 27. https://bio.tools/ 28) https://www.embnet.org/wp/quick-guides/ https://www.embnet.org/wp/critical-guides/ 29. https://www.wipo.int/tools/en/gsearch.html?q=Bioinformatics 30. http://countbio.com/ 31. https://www.ebi.ac.uk/training/on-demand 32. http://www.staff.hs-mittweida.de/~wuenschi/doku.php?id=rwbook2 33. https://biotech.co.in/en/binc-bioinformatics-national-certification 34. https://www.youtube.com/results?search_query=ncbi+now 35. https://scilifelab.github.io/courses/ 36. https://www.imsc.res.in/~kabru/parapp/bioinformatics_notes.pdf 37. https://tess.elixir-europe.org/materials 38. https://www.agmoocs.in/courses 39. AWK one liners- http://www.pement.org/awk/awk1line.txt 40. http://rsg-uk.iscbsc.org/resources/16-education-resources.html 41. https://rsgturkey.com/en/resources/ 42. https://iscb-mx.github.io/ 43. https://www.bioinformatics.recipes/ https://www.bioinformatics.recipes/project/list/ https://www.bioinformatics.recipes/latest/recipes/ 44. https://nptel.ac.in/courses/102/106/102106065/ 45. https://onlinecourses.swayam2.ac.in/cec21_bt04/preview 46. https://bioinformaticsdotca.github.io/ 47. https://edu.t-bio.info/collections/ 48. https://edu.t-bio.info/lp-courses/ 49. https://bioconductor.org/help/course-materials/ 50. https://www.iscb.org/education-and-training-resources #newliferesearchfoundationteam

Learn Python, R & SQL Programming, Bioinformatics, Genomics & Omics/Multiomics, Advanced Genetics, Biotechnology, Bash Scripting, Biostatistics, Statistics and Probability, Machine Learning, Artificial Intelligence, Large Language Models, LangChain, ChatGPT/ChatGPT Plus (4), etc @everyone, we carefully compiled these materials for those who willl be starting their studies soon, you can also find them useful for self-studying. (1) Python, R & SQL Programming, AI - ML/DL (a) From Blogs such as W3Schools, Machine Learning Mastery, Towards Data Science, Kaggle, Coursera, Analytics Vidhya, Leetcode, Khan Academy, Skikit learn, DataCamp, GeekforGeeks, Educative.io, GitHub repositories, Simplilearn, Edureka, mit.edu.courses, ETH Python Course, Symposium materials from GT, dev.to courses, developers.google, byjusfutureschools.edu, Real Python, c-sharpcorner.com, etc - https://docs.google.com/document/d/1--9XgjuOv9ZhDfuGDpUzE1e04JCTtrijSHgMnZ7MI9Y/edit (b) BioPython - For Projects http://biopython.org/DIST/docs/tutorial/Tutorial.html (c) Deep Learning https://dl.ebooksworld.ir/books/Deep.Learning.for.Coders.with.fastai.and.PyTorch.Howard.Gugger.OReilly.9781492045526.EBooksWorld.ir.pdf (d) Computational Genomics with R https://compgenomr.github.io/book/ (e) SQL https://www.sqlbot.co/ https://www.w3schools.com/sql/ https://www.kaggle.com/learn/intro-to-sql https://www.kaggle.com/learn/advanced-sql https://www.kaggle.com/code/dimarudov/data-analysis-using-sql (2) Maths of Machine Learning By deeplearning.ai https://www.deeplearning.ai/courses/mathematics-for-machine-learning-and-data-science-specialization/ (b) ChatGPT for Education and Research Chat GPT 4 - ChatGPT Free Download AI ChatBot: Smart Assistant and enjoy it on your iOS. Simplify your life with a smart assistant chatgpt. The only difference between the two chatbots is the number of parameters used in their architecture. ChatGPT uses the transformer model with 12 layers and 117 million parameters. However, ChatGPT Plus is powered by a 24-layer transformer model with 1.5 billion parameters. https://medium.com/@ind/chatgpt-vs-chatgpt-plus-a-comparison-e8b233165def https://www.producthunt.com/stories/is-chatgpt-plus-worth-it-chatgpt-paid-vs-free https://drasmajabeen.com/chatgpt-for-scientific-research-paper-writing/ (c) Researchers Discover a More Flexible Approach to Machine Learning: https://www.quantamagazine.org/researchers-discover-a-more-flexible-approach-to-machine-learning-20230207/ (d) LangChain AI in Python https://python.langchain.com/docs/use_cases/code_understanding https://pypi.org/project/langchain/ (e) Chain-of-thought (CoT) AI ThoughtSource: A central hub for large language model reasoning data - A Nature paper: https://www.nature.com/articles/s41597-023-02433-3 (3) Shomu's Biology - Any topic in Biology, e.g: (a) Advanced Genetics - Lecture Part 1-13 - https://m.youtube.com/watch?v=3eKZ3ffUA2Y&t=5s Quantitative Genetics Problems - part 1-13 (b) Biostatistics Part 1-14 - https://m.youtube.com/watch?v=Ip7NDs1oDOo (c) Population Genetics Part 1-20 - https://m.youtube.com/watch?v=L7rpgdOsq_s Population Genetics problems and maths problems in population genetics part 1 to Chapter 8 problems - https://m.youtube.com/watch?v=fNZ9wBb3Opw (d) Ecology Part 1-19 - https://m.youtube.com/watch?v=mQ16jszjyFo (e) Epidemiology https://m.youtube.com/watch?v=sB4EBtPPDdw (f) Bioinformatics and Practical Bioinformatics - 42 videos in total Part 1-17 with practical bioinformatics aspects 1-23 - https://m.youtube.com/watch?v=w-uk-_TOgR0&list=PLb0WW0k29aHrF8aZzK17ORTesZsd-lING&index=1&pp=iAQB (g) Data Analysis in Medicine and Health Using R https://lnkd.in/dRg6jFu5 Other Bioinformatics Resources BabrahamBioinf videos: https://www.youtube.com/watch?v=mQ2KbMOJOXU NCBI: https://www.youtube.com/watch?v=QIZ8QH6JcC8 EMBL: https://www.youtube.com/playlist?list=PL67E0627174F36FCF Bioinformatics WorkBook: https://bioinformaticsworkbook.org/list.html#gsc.tab=0

Python Development is a highly in-demand and well-paying job in the tech industry. If you're looking to become an excellent Python Developer, here's a roadmap that includes various online resources: 1 Python Basics : Start with the fundamentals of Python programming, including variables, data types, control flow, loops, and functions. 1.1 https://lnkd.in/deZe7gxk 2 Object-Oriented Programming: Learn about object-oriented programming concepts such as classes, objects, inheritance, and polymorphism. https://lnkd.in/dF3gXMTT 3 Data Structures and Algorithms: Understand the basics of data structures such as lists, dictionaries, tuples, and sets, as well as algorithms like sorting and searching. https://lnkd.in/dYEktQ6x 4 Python Libraries : Familiarize yourself with popular Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn for data manipulation, analysis, and visualization. 4.1 Numpy : https://lnkd.in/deKZNr7j 4.2 Pandas : https://lnkd.in/deKZNr7j 4.3 Matplotlib : https://lnkd.in/deKZNr7j 4.4 Scikit Learn : https://lnkd.in/dbDD7mgA Web Development 5.1 Flask Learn Flask, a lightweight web application framework for Python. https://lnkd.in/dREx7PiA 5.2 Django Django is a high-level Python web framework that enables rapid development of secure and maintainable websites. https://lnkd.in/d2MdpS4T 6 Database Learn about database management systems like MySQL, SQLite, and PostgreSQL, and how to use them with Python. 6.1 https://lnkd.in/dr8tQMzG 6.2 https://lnkd.in/dYxHYR2T 7 Automation and Scripting : Learn how to automate repetitive tasks and write scripts to make your work easier and more efficient using libraries like Selenium and Beautiful Soup. 7.1 https://lnkd.in/dBc7wEfp 7.2 https://lnkd.in/d-2u8Txz 8 Machine Learning : Learn the basics of machine learning with Python and libraries such as TensorFlow and Keras. https://lnkd.in/dAp--sC6 9 Data Science : Get started with data science using Python libraries such as Pandas, NumPy, and Scikit-learn. https://lnkd.in/dEk2-2_x 10 DevOps : Understand the basics of DevOps, including containerization with Docker and container orchestration with Kubernetes. https://lnkd.in/dmJbgE_4 11 Version Control : Learn about version control systems like Git https://lnkd.in/dUxsQhiE 12 Python Testing : Learn about Python testing frameworks such as Pytest to write and run automated tests. 13 Python Quick revision for Interviews : Prepare for interviews by revising the essential ttopics of Python programming. Source: @Om Jaju

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The Mafia manager_ a guide to the corporate machiavelli -- V -- 1996 -- New York_ St_ Martin's Press -- 9780312140090 -- 4c33d388dd7c35f9a0c600e78e9f3e73 -- Anna’s Archive.pdf

Dreams From My Father (Obama). ( PDFDrive ).pdf

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Not even one copy is already in the channel. Stop insisting, pls πŸ‘
Not even one copy is already in the channel. Stop insisting, pls πŸ‘

Breast feeding, how to succeed_ questions and answers for -- Llewellyn-Jones, Derek -- 1983 -- London_ Faber and Faber -- 9780571130047 -- f619378582427ad38766e95253fe7ee1 -- Anna’s Archive.pdf

the-subtle-art-of-not-giving-a-fuck ( PDFDrive ).pdf

Kleptopia -- Burgis, Tom -- 2020 -- HarperCollins -- 9780062883674 -- 72bc5f371580c8f00fcc1de6fa132210 -- Anna’s Archive.pdf

How to Lead When You're Not in Charge_ Leveraging Influence -- Clay Scroggins [Scroggins, Clay] -- 2017 -- HarperCollins Christian Publishing -- 167675043d7314130de877308862442e -- Anna’s Archive.pdf