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Zoekresultaten (16)

HBO/WO

MBO

23 januari 2026

Self-study module Introduction to Plant Biology - Plant hormones

This self-study module is part of the series ‘Introduction to Plant Biology’ and introduces plant hormones, explaining how chemical signaling enables communication and coordination within plants. It is designed for students learning basic plant biology and for teachers seeking clear figures and explanations for educational use. The module covers fundamental concepts of cell signaling and signal transduction and examines the functions and interactions of major plant hormones, including auxin, cytokinin, abscisic acid, gibberellins, ethylene, salicylic acid, jasmonic acid, brassinosteroids, and strigolactones, in regulating plant growth, development, and responses to the environment.

Document

Elysa Overdijk, Anniek Oosterwijk, Kayla Delvers

1 oktober 2025

An analysis of the current developments and scenarios for the transition to a fossil-free energy society this century

This century, greenhouse gas emissions such as carbon dioxide, methane, and nitrogen oxides must be significantly reduced. Greenhouse gases absorb and emit infrared radiation that contributes to global warming, which can lead to irreversible negative consequences for humans and the environment. Greenhouse gases are caused by the burning of fossil fuels such as crude oil, coal, and natural gas, but livestock farming and agriculture are also to blame. In addition, deforestation contributes to more greenhouse gases. Of the natural greenhouse gases, water vapor is the main cause of the greenhouse effect, accounting for 90%. The remaining 10% is caused from high to low by carbon dioxide, methane, nitrogen oxides, chlorofluorocarbons, and ozone. In addition, there are industrial greenhouse gases such as fluorinated hydrocarbons, sulphur hexafluoride, and nitrogen trifluoride that contribute to the greenhouse effect too. Greenhouse gases are a major cause of climate change, with far-reaching consequences for the welfare of humans and animals. In some regions, extreme weather events like rainfall are more common, while others are associated with more extreme heat waves and droughts. Sea level rise caused by melting ice and an increase in forest fires are undesirable effects of climate change. Countries in low-lying areas fear that sea level rise will force their populations to move to the higher-lying areas. Climate change is affecting the entire world. An estimated 30-40% o f the carbon dioxide released by the combustion of fossil fuels dissolves into the surface water, resulting in an increased concentration of hydrogen ions. This causes the seawater to become more acidic, resulting in a decreasing of carbonate ions. Carbonate ions are an important building block for forming and maintaining calcium carbonate structures of organisms such as oysters, mussels, sea urchins, shallow water corals, deep sea corals, and calcareous plankton.

Open (Access) Tekst Boek

Folkert Koopman

24 mei 2025

A Brief Introduction to Biochemistry

How do cells convert simple nutrients to living biomass? The simple answer is through a series of controlled chemical reactions called metabolism. But what are these chemical reactions, how are they controlled, and how are they arranged into a metabolic network that assembles complex cells while obeying the rules of chemistry and physics? In this brief introduction, we explore enzymes (structure, kinetics, and regulation), bioenergetic principles of reaction coupling and redox reactions, and give a taste of metabolic pathways and regulation. The book is designed for students with a minimal background in chemistry.

Open (Access) Tekst Boek

Gregory Bokinsky, Paola De Magistris, Jairus Beije, Ben Tilly

14 september 2023

Publication strategies & Open Access: Open Access publishing

Open Access publishing. How does Open Access affect YOU as researcher. For you as researcher there are two sides to the Open Access coin. Why would you publish in Open Access For a variety of reasons. The most obvious one of all we have just mentioned: you write to be read; and the more people who can read what you wrote, the better. This holds for you as an individual researcher, but it also holds for the Erasmus university as a collective body of academic researchers. Related. Suggested.

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Erasmus University Library

14 september 2023

Publication strategies & Open Access: Watch out for predatory journals and publishers

Watch out for predatory journals and publishers Received an email lately encouraging you to publish with a new exciting sounding journal? Before you send your manuscript, take a few minutes to check up on that journal. It might be an invitation from a 'predatory journal'. Some tips to identify (potential predatory) journals and publishers When you want to check up on a journal - is it a predatory journal or not? -, take some time to look at its features. Tips to identify an Open Access option for your article. Related. Suggested.

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Erasmus University Library

23 augustus 2023

Lecture: Recurrent Neural Networks

Learning the fundamentals of Recurrent Neural Networks (RNN), Backpropagation Trough Time (BPTT) and Long Short-Term Memory (LSTM)

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HCAIM Consortium

23 augustus 2023

Lecture: Introduction to privacy and risk

Obtain a general understanding of the notion of privacy. Understand the difficulties and pitfalls of data privacy analysis and detection of personal data. Understand the trade-off between anonymization and data utility (no free lunch). Understand the difference between data security and data privacy. Learn the basic principles of anonymous communication and TOR. Discern, investigate and discuss key risks which AI and Machine Learning models introduce

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HCAIM Consortium

2023

Maker Lab Assignments: Two Main Open Inquiry Projects

Two thirds of the Maker Lab course is dedicated to two large open inquiry projects which students conceive, design, and carry out in pairs. As detailed in Appendix 1 of the Maker Lab course description (linked below), there are seven rules limiting students' open inquiry project topics: projects must involve empirical research in one or more of the natural sciences the research methods must utilize quantitative modeling of empirical measurements the research methods must utilize an Arduino in some non-trivial way (usually for controlling electronic sensors, or sometimes just using its voltage measurement capabilities) something in the inquiry must go beyond high school level science: the research methods (measurement techniques and/or mathematical modeling) and/or the scientific phenomena being studied projects must be doable within the allowed time, with some buffer for inevitable failed trials or delays and time to iteratively improve • no more than 40 euros may be spent per project (often for buying a new kind of sensor or various unstocked equipment or supplies). Basic supplies are already included in the student toolboxes and many other types of equipment are already in-stock in the Maker Closet, so permission must be asked and granted before purchasing items. The costs (including shipping) will be reimbursed if reusable equipment will be returned (or if consumable items are used sparingly) and if official receipts of purchases are submitted. Finally, since the projects are relatively short, shipping times need to be a couple days max and shipping from outside the EU is not possible (due to long delays in customs). students must follow safe and ethical practices in their work, where safety is regulated by adhering to equipment user manuals and discussions with instructor (and direct supervision and/or help if dangerous equipment or substances are required), while ethical practices begin by following AUC’s ethics checklist and oversight procedures for pursuing any experiments with humans, animals, data or property of others, or environmental systems. See Canvas for more information. The subpages below link to the following: grading form for pre-recorded video "Midway" presentation grading form for pre-recorded video "Final" presentation Maker Lab course schedule (example) where the open inquiry supervision process is detailed per class-session Maker Lab course description, which includes practicalities of the open inquiry process and assessment Lecture Notes chapter 6: Empirical Research Process (a rough guide to the iterative process of empirical open inquiry) Additionally, this page itself includes two documents: a template for the students' pre-proposal at the start of each open inquiry project (which must be approved by the instructor) a template for students' electronic lab journals (which is not currently assessed for the course grade) Both of these template documents are Jupyter Notebook files. If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the PDF documents (also attached) will give an idea of their content and functionality.

Forrest Bradbury

2023

Lecture Notes chapter 4: Curve Fitting

This "Maker Lab" course uses Jupyter Notebook files and the Python programming language for data analysis and visualization and uncertainty analysis. Chapter 4 of the lecture notes introduces Curve Fitting using Python. In fact, one of these documents covers Curve Fitting using two different Python libraries (lmfit and scipy), however, the lmfit library is the recommended one for the Maker Lab course, as it's more user-friendly and covers most uses needed by the student projects. Thus, the other document cuts out the scipy library explanations, keeping the document shorter and easier to follow. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize the .ipynb file. But the attached PDF will give an idea of its content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324

Document

Forrest Bradbury

2023

Lecture Notes chapter 2: Introduction to Python Programming

This "Maker Lab" course uses Jupyter Notebook files and the Python programming language for data analysis and visualization and uncertainty analysis. Chapter 2 of the lecture notes introduces the Python programming language. It consists of four sub-chapters, each published as separate files. Note: If you do not (yet) have Jupyter Notebook, you cannot fully utilize these .ipynb files. But the attached PDFs will give an idea of their content and functionality. Note also: In order to interact with and fully utilize the Jupyter Notebook documents (including their hyperlinks and pointers to data and image files), it is helpful to save the entire collection locally in a way that preserves the original directory structure. This is easiest to accomplish by downloading all files at once via the JupyterPython-materials zip file and unpacking it (extracting the files) to your preferred local directory. This zip file of all Jupyter Notebook materials is located here: https://search.edusources.nl/materialen/d144774e-9705-489a-b3cd-28e3618f7324

Document

Forrest Bradbury