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Third Book Launch, Workshop and Next Steps “Follow Your Heart. The School for Multipotentialites”
No full textThe overall aim of this report is to document the experience and knowledge gained during the third book launch and the third experience of a creative and emotional education bilingual workshop based on the book Follow Your Heart: the school for multipotentialites. Continuing along the lines of the two book launches held in Shepton Mallet, UK (February 2023) and Turin, Italy (March 2023), the three authors, in collaboration with Laura Vita (McMaster graduate student collaborating with ECO_CARE for her practicum), organized a third event inviting multilingual educators working in southern France. This event was held in Marseille, France in a large, bright event space owned by Prozon, a local company that serves businesses with locally-sourced technical equipment supplies through an online digital platform
冷泉之行
No full textFocus:
Where are and what happens at cold seeps and how scientists study them.
Learning objectives:
After this lesson, students should be able to:
Relate different datasets by observing and describing scientific maps
Differentiate between carbon dioxide and methane gas
Clarify misconceptions about greenhouse gas
Explain what cold seeps are and why most gas/methane hydrates
occur at continental margins
Describe some of the methods scientists use to locate and study
methane/gas hydrates
Prerequisites:
Prior to this lesson, students should be familiar with understanding maps, molecular structure and bonding, and the greenhouse effect and gases.
Key words:
Arctic Ocean, Methane, Carbon Dioxide, Gas Hydrate, Cold Seep, Greenhouse Gases.重点：
冷泉在哪里, 在冷泉会发生什么，以及科学家如何研究它们。
学习目标：本课结束后，学生应该能够：
通过观察和描述科学地图，将不同的数据集联系起来
区分二氧化碳和甲烷气体
澄清对温室气体的错误认识
解释什么是冷泉，为什么大多数气体/甲烷水合物发生在大陆边缘
描述科学家用来定位和研究甲烷/天然气水合物的一些方法
前提
在本课之前，学生应该熟悉了解地图、分子结构和结合，以及温室效应和气体。
键词：
北冰洋, 甲烷, 二氧化碳, 气体水合物, 冷泉, 温室气
Досліджуємо Арктичне глибоководдя за допомогою кольорових фільтрів
No full textFocus:
To get to know some of the creatures in the deep-sea that use color and the lack of light to camouflage themselves.
Learning objectives:
With these TWO activities, we use vision to explore life forms in the deep sea which have adapted to extreme conditions. Through the activities, the pupils will also become familiar with some organisms well-hidden at the bottom of the ocean.
Key words:
Camouflage strategies, Deep sea ocean, Physical effects of light, Characteristics of sea lifeformsФокусуємося на:деяких істотах глибинного моря, які використовують колір та відсутність світла для маскування.
Цілі навчання:Використовуємо зорове сприйняття для дослідження форм життя в глибинному океані, які адаптувалися до екстремальних умов; працюємо над цим у ДВОХ наступних діяльностях. За їх допомогою учні також ознайомляться з деякими організмами, які добре приховані на дні океану.
Ключові слова:
Стратегії маскування, клибокий океан, фізичні ефекти світла, характеристики морських форм житт
Форамініфера бугі
No full textFocus:
To learn about foraminifera through practicing and presenting the song “The Foraminifera Boogie”. Pupils and teachers can also decide to play instruments along with the recorded soundtrack.
Learning objectives:
In this activity, pupils will practice listening to one another and the music. They will learn lyrics and use their voices to sing the song. This can be combined with playing actual musical instruments or using instruments the pupils have made themselves (for example see the activity “Cold Seeps Symphony”). This activity brings together music with the scientific story of the Foraminifera.
Key words:
Ocean, researchers, little known beings in the Arctic Ocean, co-living of humans and non-human beings, planetary time.Фокусуємося на:
на форамініферах за допомогою практичних занять та презентації пісні «Форамініфера Бугі». Учні та вчитель також можуть грати на інструментах разом з записаним саундтреком.
Цілі навчання:
У цій діяльності учні будуть практикувати прослуховування один одного та музики. Вони вивчать текст пісні та будуть її співати. Це можна поєднати з грою на реальних музичних інструментах або використати інструменти, які учні створили самостійно (наприклад, див. діяльність «Cold Seeps Symphony»). Це заняття поєднує музику з історією форамініфер.
Ключові слова:
Океан, дослідники, маловідомі істоти Арктичного океану, спільне життя людини та нелюдських істот, планетарний ча
3D Masked Modelling Advances Lesion Classification in Axial T2w Prostate MRI
No full textMasked Image Modelling (MIM) has been shown to be an efficient self-supervised learning (SSL) pre-training paradigm when paired with transformer architectures and in the presence of a large amount of unlabelled natural images. The combination of the difficulties in accessing and obtaining large amounts of labeled data and the availability of unlabelled data in the medical imaging domain makes MIM an interesting approach to advance deep learning (DL) applications based on 3D medical imaging data. Nevertheless, SSL and, in particular, MIM applications with medical imaging data are rather scarce and there is still uncertainty around the potential of such a learning paradigm in the medical domain. We study MIM in the context of Prostate Cancer (PCa) lesion classification with T2 weighted (T2w) axial magnetic resonance imaging (MRI) data. In particular, we explore the effect of using MIM when coupled with convolutional neural networks (CNNs) under different conditions such as different masking strategies, obtaining better results in terms of AUC than other pre-training strategies like ImageNet weight initialization
Contradiction Detection in Financial Reports
No full textFinding and amending contradictions in a financial report is crucial for the publishing company and its financial auditors. To automate this process, we introduce a novel approach that incorporates informed pre-training into its transformer-based architecture to infuse this model with additional Part-Of-Speech knowledge. Furthermore, we fine-tune the model on the public Stanford Natural Language Inference Corpus and our proprietary financial contradiction dataset. It achieves an exceptional contradiction detection F1 score of 89.55% on our real-world financial contradiction dataset, beating our several baselines by a considerable margin. During the model selection process we also test various financial-document-specific transformer models and find that they underperform the more general embedding approaches
RIDDLE: Rule Induction with Deep Learning
No full textNumerous applications rely on the efficiency of Deep Learning models to address complex classification tasks for critical decisions-making. However, we may not know how each feature in these models contributes towards the prediction. In contrast, Rule Induction algorithms provide an interpretable way to extract patterns from data, but traditional approaches suffer in terms of scalability. In this work, we bridge Deep Learning and Rule Induction and define the RIDDLE (Rule Induction with Deep Learning) architecture. We show that RIDDLE has state-of-the-art performance in Rule Induction via an empirical evaluation
Responsible Research Assessment
No full textFelix Schönbrodt, Professor of Psychology at Ludwig-Maximilians-Universität (LMU) in Munich, tells about an initiative that he coordinates within the Deutsche Gesellschaft für Psychologie (German Psychological Society). Motivated by the Reproducibility Crisis and a rising frustration with the publishers of high-ranking journals, Schönbrodt has co-authored three position papers on the theme of responsible research assessment. The suggestion is to develop a two-stage evaluation system for hiring, the first of which will use responsible metrics with emphasis on open data, pre-registration and several aspects of reproducibility, whereas the second stage will focus on a qualitative (content-oriented) evaluation of selected candidates. The propositions of Schönbrodt’s group have so far led to published feedback from more than 40 different scholars. Besides his nation-wide work within the German Psychological Society, Schönbrodt is the managing director of LMU’s Open Science Centre, where scholars from different disciplines convene for workshops on various aspects of Open Science. Under the nickname «nicebread» (Schön = nice, Brodt = bread), he also runs a personal blog and a project webpage on GitHub.
Interview recorded in Munich, October 2023. First published online: November 29, 2023