Flow Control in Wings and Discovery of Novel Approaches via Deep Reinforcement Learning

In this review we summarize existing trends of flow control used to improve the aerodynamic efficiency of wings. We first discuss active methods to control turbulence, starting with flat-plate geometries and building towards the more complicated flow around wings. Then, we discuss active approaches to control separation, a crucial aspect towards achieving high aerodynamic efficiency. Furthermore, we highlight methods relying on turbulence simulation, and discuss various levels of modelling. Finally, we thoroughly revise data-driven methods, their application to flow control, and focus on deep reinforcement learning (DRL). We conclude that this methodology has the potential to discover novel control strategies in complex turbulent flows of aerodynamic relevance.

Integrating Assessment, Feedback, and Learning Analytics in Educational Games

Assessment is a crucial aspect of any teaching and learning process. New tools such as educational games offer promising advantages: they can personalize feedback to students and save educators time by automating the assessment process. However, while many teachers agree that educational games increase motivation, learning, and retention, few are ready to fully trust them as an assessment tool. A likely reason behind this lack of trust is that educational games are distributed as black boxes, unmodifiable by educators and not providing enough insight about the gameplay. This chapter presents three systematic literature reviews looking into the integration of assessment, feedback, and learning analytics in educational games. It then proposes a framework and present a fully developed engine. The engine is used by both developers and educators. Designed to separate game and assessment, it allows teachers to modify the assessment after distribution and visualize gameplay data via a learning analytics dashboard.

On the benefits of representation regularization in invariance based domain generalization

A crucial aspect of reliable machine learning is to design a deployable system for generalizing new related but unobserved environments. Domain generalization aims to alleviate such a prediction gap between the observed and unseen environments. Previous approaches commonly incorporated learning the invariant representation for achieving good empirical performance. In this paper, we reveal that merely learning the invariant representation is vulnerable to the related unseen environment. To this end, we derive a novel theoretical analysis to control the unseen test environment error in the representation learning, which highlights the importance of controlling the smoothness of representation. In practice, our analysis further inspires an efficient regularization method to improve the robustness in domain generalization. The proposed regularization is orthogonal to and can be straightforwardly adopted in existing domain generalization algorithms that ensure invariant representation learning. Empirical results show that our algorithm outperforms the base versions in various datasets and invariance criteria.

The Transformation of Inorganic and Methylmercury in the Presence of l-Cysteine Capped CdSe Nanoparticles

Transformations of mercury (Hg) forms in the aquatic environment is a crucial aspect of Hg fate, transport and the bioaccumulation of methylmercury (CH3Hg; MeHg), which is the form that drives most human health concerns. Transformations between Hg forms on surfaces have been inadequately studied but here we report on the interaction of inorganic Hg (HgII) and MeHg with chalcogenide nanoparticles (NPs); specifically L-cysteine capped CdSe nanocrystals. The study sheds light on the transformation of the Hg species and the interaction mechanisms, by examining the product composition, reaction mass balance and the distribution between the liquid and solid phase. The results showed that the quenching of the photoluminescence (PL) of CdSe NPs was greater for HgII than MeHg, and that HgII caused significant PL quenching even when its concentration was in the nM range. Over 90% of HgII was found associated with the solid phase while most MeHg existed in the liquid phase in the experimental solutions. No dimethylmercury ((CH3)2Hg; DMeHg) was produced from the interaction of MeHg and the NPs, in contrast to findings with microparticles. However, a fast and complete MeHg transformation into HgII occurred when the MeHg + NPs mixture was exposed to light. A scheme for the MeHg degradation was derived and is presented, and it was concluded that the precipitation of HgSe accelerated the MeHg degradation. These results provide insight into the abiotic pathways for MeHg degradation in environmental waters in the presence of NPs.

A Comparative Analysis of Reporting Verbs Used in Literature Review Chapters of Bachelor’s and Master’s Theses of Chinese English Majors

Reporting Verbs (RVs), a crucial aspect of citations in academic writing, are used to report the work of other researchers. A Literature Review Chapter, as a key part-genre of any thesis, or a bigger genre where it is embedded, is the main place that has the highest number of RVs. Accordingly, this study aimed to analyze and compare the use of RVs between 30 bachelor’s thesis (BT) Literature Review Chapters and 30 master’s thesis (MT) Literature Review Chapters of Chinese English majors in terms of denotation and evaluation of RVs based on Hyland’s (2002) classification framework. The findings reveal that the RVs used in the BT Literature Reviews were smaller in amount and narrower in range compared with those in the MT counterparts. Regarding the denotation of RVs, Discourse Act RVs were found to be the most predominant in the BT corpus, while Research Act RVs prevailed in the MT corpus. Cognition Act RVs were the least used in the two corpora. Regarding the evaluation of RVs, factive RVs were the most frequently used in the BT Literature Reviews, while non-factive RVs were the most prominent in the MT counterparts. However, negative RVswere infrequent in both corpora. This study would increase the thesis writers’ knowledge on the significance of RVs, raise their awareness of employing RVs, and help them use RVs appropriately and effectively in writing their thesis and other academic writings. This paper also provides practical implications for teaching RVs in preparing research dissertations.

COVID-19 and the scientific publishing system: Growth, open access and scientific fields

We model the growth of scientific literature related to COVID-19 and forecast the expected growth from 1 June 2021. Considering the significant scientific and financial efforts made by the research community to find solutions to end the COVID-19 pandemic, an unprecedented volume of scientific outputs is being produced. This questions the capacity of scientists, politicians and citizens to maintain infrastructure, digest content and take scientifically informed decisions. A crucial aspect is to make predictions to prepare for such a large corpus of scientific literature. Here we base our predictions on the ARIMA and exponential smoothing models and use two different data sources: the Dimensions and World Health Organization COVID-19 databases. These two sources have the particularity of including in the metadata information on the date in which papers were indexed. We present global predictions, plus predictions in three specific settings: by type of access (Open Access), by NLM source (PubMed and PMC), and by domain-specific repository (SSRN and MedRxiv). We conclude by discussing our findings.

The Use of Augmented Reality in Collaboration Within the Construction Industry

Site visitation is a crucial aspect of civil engineers’ job scope as it provides them with first-hand construction data. However, due to the recent COVID-19 pandemic, construction site visitations are restricted, making the tasks of a civil engineer impossible to achieve. The main objective of this research is to find out and suggest a remedy to the problems commonly faced by civil engineers through the help of Augmented Reality (AR). Hence, the study’s objective is to analyse AR’s functionalities and suggest its best application to communicate spacious awareness via visual feedback for civil engineers. For maximum usability, an integrated software suite is proposed that provides access to AR worksites, measured data, and allows peer communication. This addressed the whole spectrum of problems faced by civil engineers with the switch to remote working. However, with the COVID-19 pandemic, the limitation of this project is that testing could not be executed to determine the efficacy of the said solution. Furthermore, the proposed solution has limitations, such as requiring pre-constructed infrastructure in applicable construction sites. Therefore, regular quality assurance (QA) and quality control (QC) are required to ensure proper functionality. In the future, AR LiDAR sensors could be a possibility as it provides increased accuracy of AR measurements which is critical in engineering.

Vulnerability of cities to toxic airborne releases is written in their topology

The incidental or malicious release of toxic gases in the atmosphere is one of the most critical scenarios for cities. The impact of these releases varies with the ventilation potential of the urban environment. To disentangle this crucial aspect, vulnerability to airborne releases is here traced back to essential properties of the urban fabric. To this aim, pollutant dispersion is disassembled in its fundamental bricks and the main drivers of the process are captured. The analysis is based on four cities with emblematic architectures: Paris, Firenze, Lyon and New York. Results show that vulnerability is driven by the topology of the city and by its interaction with the approaching wind. In this sense, fragility to toxic releases is written in the layout of the urban fabric and results from its historical evolution. This study paves the way to the assessment of air pollution-related issues from a morphological point of view.

Self-Constitution and Folds of Subjectivation in Foucault

The purpose of this paper is to analyze Foucault’s final key notion of subjectivation in the light of the Baroque metaphor of fold(ing). According to Deleuze, two distinct sources, Heidegger’s memory of Being and Leibniz’s monadology, are in a way brought together in this Foucauldian notion. I try to highlight the importance of the concept of subjectivation in the context of a performative turn in contemporary philosophy and various historical ways of conceiving this concept. A technical yet crucial aspect that has to be emphasized is the complex interplay and mutual co-dependence between active subjectivation and subjection (assujettissement). Understanding the «mode of subjection» as one of «the four folds of subjectivation» in Foucault provides us with a compelling argument for ethical pluralism. Finally, this gives us the vital clue for adjusting Deleuze’s interpretation of Foucault, revealing Nietzsche’s violent memory rather than the Heideggerian memory of Being as decisive in the process of subjectivation, and also a necessary conversion of «negative» freedom into positive liberty as autonomy and self-discipline, likewise in agreement with Nietzsche’s project of making «asceticism natural again».

It's About Bloody Time and Space

Time frames relationships of power, especially in the context of law. One of the clearest ways in which time is implicated in both law and society is via discourses about women’s biological functions. This Article is an introduction to a larger project that analyzes legal discourses regarding a crucial aspect of women’s calendrically-associated biological functions: women’s menstrual periods. Over the course of the project, I explore legal discourses about menstruation through the notion of what literary theorist Mikhail Bakhtin calls “chronotopes”—a connectedness of temporal and spatial relationships. Temporality, Bakhtin argues, is closely associated with certain paradigmatic spaces, and the combination of shapes, ideologies, and identities. Legal discussions of women’s menstrual bleeding are key sites for the discursive creation and maintenance of certain ideologies of womanhood. These discussions appear in a wide variety of contexts and in ways that either explicitly reference or implicitly index ideologies of female identity. All are characterized by efforts to mark them as narratives linked to other temporally prior or future moments, and are often indices of chronologically or spatially related stigmas and taboos. While legal discourses of menstruation do not give a complete account of the category “woman,” they provide cogent examples of how womanhood ideologies are constructed in legal contexts.