Sensing Depression

The hallmark indicator of depressive disorders is a presence of sad, empty, or irritable mood, accompanied by somatic and cognitive changes that significantly affect the individuals capacity to function. The overall goal of our project is to provide a tool for doctors to effortlessly detect depression, and in effect achieve greater coverage in detecting depression over the general population. We use machine learning techniques to create a mobile application that infers a smartphone users severity of depression from data scraped off their phone and social media websites. Through our study, we have demonstrated the feasibility of this approach to diagnosing depression, achieving an average testset RMSE of 5.67 across all modalities in the task of PHQ-9 score predictions

Camioneta Mágica

Children within the city of San José, Costa Rica lack access to greenspaces and are often disconnected from the rich natural environment. This project aided Árboles Mágicos to model and determine the feasibility of a mobile nature workshop that would teach children in San José about Costa Rican trees and forests. We completed a literature review and interviewed teachers and museum exhibit designers to identify effective teaching methods and determine the educational content of the workshop. We suggested the workshop teach skills and values such as empathy and transversality through environmental topics and by using interactive and autonomous activities. We created two designs of the mobile nature workshop, including the vehicle and the activities, and assessed their cost and feasibility

Martin Hartmann's letter to Ignaz Goldziher

This article reports the outcomes of a project in which teachers' sought to develop their ability to use instructional practices associated with argumentation in the teaching of science—in particular, the use of more dialogic approach based on small group work and the consideration of ideas, evidence, and argument. The project worked with four secondary school science departments over 2 years with the aim of developing a more dialogic approach to the teaching of science as a common instructional practice within the school. To achieve this goal, two lead teachers in each school worked to improve the use of argumentation as an instructional practice by embedding activities in the school science curriculum and to develop their colleague's expertise across the curriculum for 11- to 16-year-old students. This research sought to identify: (a) whether such an approach using minimal support and professional development could lead to measurable difference in student outcomes, and (b) what changes in teachers' practice were achieved (reported elsewhere). To assess the effects on student learning and engagement, data were collected of students' conceptual understanding, reasoning, and attitudes toward science from both the experimental schools and a comparison sample using a set of standard instruments. Results show that few significant changes were found in students compared to the comparison sample. In this article, we report the findings and discuss what we argue are salient implications for teacher professional development and teacher learnin

Search for intermediate-mass black hole binaries in the third observing run of Advanced LIGO and Advanced Virgo

International audienceIntermediate-mass black holes (IMBHs) span the approximate mass range 100−105 M⊙, between black holes (BHs) that formed by stellar collapse and the supermassive BHs at the centers of galaxies. Mergers of IMBH binaries are the most energetic gravitational-wave sources accessible by the terrestrial detector network. Searches of the first two observing runs of Advanced LIGO and Advanced Virgo did not yield any significant IMBH binary signals. In the third observing run (O3), the increased network sensitivity enabled the detection of GW190521, a signal consistent with a binary merger of mass ∼150 M⊙ providing direct evidence of IMBH formation. Here, we report on a dedicated search of O3 data for further IMBH binary mergers, combining both modeled (matched filter) and model-independent search methods. We find some marginal candidates, but none are sufficiently significant to indicate detection of further IMBH mergers. We quantify the sensitivity of the individual search methods and of the combined search using a suite of IMBH binary signals obtained via numerical relativity, including the effects of spins misaligned with the binary orbital axis, and present the resulting upper limits on astrophysical merger rates. Our most stringent limit is for equal mass and aligned spin BH binary of total mass 200 M⊙ and effective aligned spin 0.8 at 0.056 Gpc−3 yr−1 (90% confidence), a factor of 3.5 more constraining than previous LIGO-Virgo limits. We also update the estimated rate of mergers similar to GW190521 to 0.08 Gpc−3 yr−1.Key words: gravitational waves / stars: black holes / black hole physicsCorresponding author: W. Del Pozzo, e-mail: [email protected]† Deceased, August 2020