A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research

Bioinformatics education can be broadly defined as the teaching and learning of the use of computer and information technology, along with mathematical and statistical analysis for gathering, storing, analyzing, interpreting, and integrating data to solve biological problems. The recent surge of genomics, proteomics, and structural biology in the potential advancement of research and development in complex biomedical systems has created a need for an educated workforce in bioinformatics. However, effectively integrating bioinformatics education through formal and informal educational settings has been a challenge due in part to its cross-disciplinary nature. In this article, we seek to provide an overview of the state of bioinformatics education. This article identifies: 1) current approaches of bioinformatics education at the undergraduate and graduate levels; 2) the most common concepts and skills being taught in bioinformatics education; 3) pedagogical approaches and methods of delivery for conveying bioinformatics concepts and skills; and 4) assessment results on the impact of these programs, approaches, and methods in students’ attitudes or learning. Based on these findings, it is our goal to describe the landscape of scholarly work in this area and, as a result, identify opportunities and challenges in bioinformatics education.     

Laboratory medicine in pandemic of COVID-19

After the outbreak in China in the year 2019, severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2) quickly spread around the world causing a protracted pandemic. Approximately one-third of infections appear to be asymptomatic. Symptomatic disease is characterized primarily by symptoms of respiratory tract infection of varying severity. But Coronavirus Disease 2019 (COVID-19) is much more than an acute respiratory disease because SARS-CoV-2 affects many organs inducing a vast number of symptoms such as cardiovascular, neurological, gastrointestinal, dermatological, with numerous complications. Short and long-term effects of infection, severe ones, and especially mild forms of the disease which affect a huge number of patients need to be further investigated. Laboratory medicine has a crucial role in early diagnosis of the disease, recognition of the patients who need hospital care, and close monitoring of hospitalized patients to timely identify associated clinical complications as well as follow-up of patients with long-term COVID-19.     

Sailing in all winds: Technological search over the business cycle

Business cycles modify firms’ incentives to innovate and the direction of innovation. By introducing a new measure of patent unconventionality this paper explores the impact of the business cycle on firms’ technological search strategies. We find that during upturns firms generate inventions characterized by a higher level of technological unconventionality. We also find that financially resilient and diversified firms produce more unconventional patents. While patent unconventionality is associated with technological impact and market value, firms extract more value by investing in unconventional inventions in downturns.     

Parallel access by butterfly networks for any degree permutation polynomial and ARP interleavers

Using more processors for parallel turbo decoding is an important issue to speed up the processing at the receiver of a communication system. Butterfly networks used to map the addresses of extrinsic values represent an elegant and simple solution in parallel turbo decoding. Recently, it has been shown that quadratic permutation polynomial (QPP) interleavers allow an easy way to compute the control bits for a butterfly network. In this paper we show that not only QPP interleavers, but any degree permutation polynomial (PP) interleavers and almost regular permutation (ARP) interleavers also allow the same easy way to compute the control bits required in butterfly networks. As a consequence, it is useful to apply the butterfly networks in parallel turbo decoding when using these performant algebraic interleavers.     

Community Networks: Rules of Behavior and Social Structure

This article investigates the intertwining relationships between the Gemeinschaft and the Gesellschaft dimension of a community network (CN)—that is, of a virtual community whose members' common interest is a locality, in our case the city of Milan, Italy. The article looks through the experience of the last 7 years of life on RCM—the Milan Community Network—to reflect on the role that the sharing of rules of behavior has on the evolution of social structure in a virtual community. It identifies three phases of development—the design phase, the first growth phase, and the most recent phase—and presents the social structure set up to guarantee governance of the CN. The conclusions show that the third phase is not an actual stable state, as the continuous evolution of the societal and technological context requires continuous redesign of the CN itself in order to meet the renewed demands of a new context.     

La géométrie projective à l'école

Sans résuméTravail effectué dans le cadre du groupe de recherche en didactique de la mathématique du Conseil National des Recherches.     

‘Family comes in all forms,blood or not’: disrupting dominant narratives around the patriarchal nuclear family

ABSTRACT

After nearly 25 years of democracy, lives of young South Africans are still profoundly shaped by the legacies of apartheid. This paper considers how these differences are produced, maintained and disrupted through an exploration of changing narratives developed by a small group of South African pre-service teachers, with a particular focus on the narratives developed around discourses of fatherhood generally and absent fathers in particular. We draw on interviews conducted with three students in which we discussed their digital stories and literature reviews. In this paper, we draw attention to the limitations of digital storytelling and the risks such autobiographical storytelling presents of perpetuating dominant narratives that maintain and reproduce historical inequalities. At the same time, in highlighting ways in which this risk might be confronted, the paper also aims to show the possibilities in which these dominant narratives may be challenged.     

Empowering visuo-spatial ability in primary school: results from a follow-up study

The current study was primarily aimed at verifying the effect of a combined computer-assisted and pencil-and-paper training that was developed to empower visuo-spatial abilities in primary school pupils. One hundred and twenty third grade (mean average: eight years old) and fourth grade (mean age: nine years old) students attending several Italian primary schools were presented with several tests of the Primary Mental Abilities (PMA) battery by Thurstone and Thurstone. Of these, 64 children underwent the training “Recovery in visuo-spatial abilities” developed by Fastame and Antonini for 15 weekly sessions. The remaining students were assigned to the control group. Post-test scores and a follow-up assessment after six months by the end of the training highlight the positive impact of the intervention in enhancing visuo-spatial abilities.