PACT: An initiative to introduce computational thinking to second-level education in Ireland

PACT (Programming ∧ Algorithms ⇒ Computational Thinking) is a partnership between researchers in the Department of Computer Science at Maynooth University and teachers at selected post-primary schools around Ireland. Starting in September 2013, seven Irish secondary schools took part in a pilot study, delivering material prepared by the PACT team to Transition Year students. Three areas of Computer Science were identified as being key to delivering a successful course in computational thinking, namely, programming, algorithms and computability. An overview of the PACT module is provided, as well as analysis of the feedback obtained from students and teachers involved in delivering the initial pilot

Acción : diario de Teruel y su provincia: Año II Número 116 - (06/04/33)

The selective aerobic oxidation of crotyl alcohol to crotonaldehyde was investigated by time-resolved synchronous DRIFTS/MS/XAS over silica and alumina supported Pd nanoparticles. Alcohol and oxygen reactant feeds were cycled through the catalyst bed while dynamic measurements of the palladium oxidation state, molecular adsorbates and evolved product distribution were made simultaneously on a sub-second timescale. Highly dispersed palladium nanoparticles remained in a partially oxidised state <100 degrees C, independent of the redox environment, and were selective for crotonaldehyde formation. Higher temperatures facilitated rapid catalyst reduction on exposure to crotyl alcohol, with palladium metal driving crotonaldehyde decarbonylation to propene and CO, while slower (surface diffusion-limited) reoxidation on exposure to oxygen re-opened selective oxidation pathways. Surface palladium oxide is identified as the desired active species

Holistic Cube Analysis: A Query Framework for Data Insights

We present Holistic Cube Analysis (HoCA), a framework that augments the capabilities of relational queries for data insights. We first define AbstractCube, a data type defined as a function from RegionFeatures space to relational tables. AbstractCube provides a logical form of data for HoCA operators and their compositions to operate on to analyze the data. This function-as-data modeling allows us to simultaneously capture a space of non-uniform tables on the co-domain of the function, and region space structure on the domain of the function. We describe two HoCA operators, cube crawling and cube join, which are cube-to-cube transformations (i.e., higher-order functions). Cube crawling explores a region subspace, and outputs a cube mapping regions to signal vectors. Cube join, in turn, allows users to meld information in different cubes, which is critical for composition. The cube crawling interface introduces two novel features: (1) Region Analysis Models (RAMs), which allows one to program and organize analysis on a set of data features into a module. (2) Multi-Model Crawling, which allows one to apply multiple models, potentially on different feature sets, during crawling. These two features, together with cube join and a rich RAM library, allows us to construct succinct HoCA programs to capture a wide variety of data-insight problems in system monitoring, experimentation analysis, and business intelligence. HoCA poses a rich algorithmic design space, such as optimizing crawling performance leveraging region space structure, optimizing cube join performance, and physical designs of cubes. We describe several cube crawling implementations leveraging different foundations (an in-house relational query engine, and Apache Beam), and evaluate their performance characteristics. Finally, we discuss avenues in extending the framework, such as devising more useful HoCA operators.Comment: Establishing core concepts of HoC

Transcription forms and remodels supercoiling domains unfolding large-scale chromatin structures

DNA supercoiling is an inherent consequence of twisting DNA and is critical for regulating gene expression and DNA replication. However, DNA supercoiling at a genomic scale in human cells is uncharacterized. To map supercoiling we used biotinylated-trimethylpsoralen as a DNA structure probe to show the genome is organized into supercoiling domains. Domains are formed and remodeled by RNA polymerase and topoisomerase activities and are flanked by GC-AT boundaries and CTCF binding sites. Under-wound domains are transcriptionally active, enriched in topoisomerase I, “open” chromatin fibers and DNaseI sites, but are depleted of topoisomerase II. Furthermore DNA supercoiling impacts on additional levels of chromatin compaction as under-wound domains are cytologically decondensed, topologically constrained, and decompacted by transcription of short RNAs. We suggest that supercoiling domains create a topological environment that facilitates gene activation providing an evolutionary purpose for clustering genes along chromosomes

Russian roulette with unlicensed fat-burner drug 2,4-dinitrophenol (DNP) : evidence from a multidisciplinary study of the internet, bodybuilding supplements and DNP users

BACKGROUND: 2,4-Dinitrophenol (DNP) poses serious health-risks to humans. The aims of this three-stage multidisciplinary project were, for the first time, to assess the risks to the general public from fraudulent sale of or adulteration/contamination with DNP; and to investigate motives, reasons and risk-management among DNP-user bodybuilders and avid exercisers. METHODS: Using multiple search-engines and guidance for Internet research, online retailers and bodybuilding forums/blogs were systematically explored for availability of DNP, advice offered on DNP use and user profiles. Ninety-eight pre-workout and weight-loss supplements were purchased and analysed for DNP using liquid-chromatography-mass-spectrometry. Psychosocial variables were captured in an international sample of 35 DNP users (26.06 ± 6.10 years, 94.3 % male) with an anonymous, semi-qualitative self-reported survey. RESULTS: Although an industrial chemical, evidence from the Internet showed that DNP is sold 'as is', in capsules or tablets to suit human consumption, and is used 'uncut'. Analytical results confirmed that DNP is not on the supplement market disguised under fictitious supplement names, but infrequently was present as contaminant in some supplements (14/98) at low concentration (<100mcg/kg). Users make conscious and 'informed' decisions about DNP; are well-prepared for the side-effects and show nonchalant attitude toward self-experimentation with DNP. Steps are often taken to ensure that DNP is genuine. Personal experience with performance- and appearance enhancing substances appears to be a gateway to DNP. Advice on DNP and experiences are shared online. The significant discrepancy between the normative perception and the actual visibility suggests that DNP use is-contrary to the Internet accounts-a highly concealed and lonesome activity in real life. Positive experiences with the expected weight-loss prevail over the negative experiences from side effects (all but two users considered using DNP again) and help with using DNP safely is considered preferable over scare-tactics. CONCLUSION: Legislation banning DNP sale for human consumption protects the general public but DNP is sold 'as is' and used 'uncut' by determined users who are not dissuaded from experimenting with DNP based on health threats. Further research with stakeholders' active participation is imperative for targeted, proactive public health policies and harm-reduction measures for DNP, and other illicit supplements

Quantification of training load distribution in mixed martial arts athletes: A lack of periodisation and load management.

The aim of this study was to quantify typical training load and periodisation practices of MMA athletes. MMA competitors (n = 14; age = 22.4 ± 4.4 years; body mass = 71.3 ± 7.7 kg; stature = 171 ±9.9 cm) were observed during training for 8 consecutive weeks without intervention. Seven athletes were training for competitive bouts whilst the remaining 7 were not. Daily training duration, intensity (RPE), load (sRPE and segRPE), fatigue (short questionnaire of fatigue) and body region soreness (CR10 scale) were recorded. Using Bayesian analyses (BF10≥3), data demonstrate that training duration (weekly mean range = 3.9-5.3 hours), sRPE (weekly mean range = 1,287-1,791 AU), strain (weekly mean range = 1,143-1,819 AU), monotony (weekly mean range = 0.63-0.83 AU), fatigue (weekly mean range = 16-20 AU) and soreness did not change within or between weeks. Between weeks monotony (2.3 ± 0.7 AU) supported little variance in weekly training load. There were no differences in any variable between participants who competed and those who did not with the except of the final week before the bout, where an abrupt step taper occurred leading to no between group differences in fatigue. Training intensity distribution corresponding to high, moderate and low was 20, 33 and 47%, respectively. Striking drills accounted for the largest portion of weekly training time (20-32%), with MMA sparring the least (2-7%). Only striking sparring and wrestling sparring displayed statistical weekly differences in duration or load. Athletes reported MMA sparring and wrestling sparring as high intensity (RPE≥7), BJJ sparring, striking sparring and wrestling drills as moderate intensity (RPE 5-6), and striking drills and BJJ drills as low intensity (RPE≤4). We conclude that periodisation of training load was largely absent in this cohort of MMA athletes, as is the case within and between weekly microcycles

Real-Time, Concurrent Checkpoint

We have developed and implemented a checkpointin

PACT: An initiative to introduce computational thinking to second-level education in Ireland

PACT (Programming ∧ Algorithms ⇒ Computational Thinking) is a partnership between researchers in the Department of Computer Science at Maynooth University and teachers at selected post-primary schools around Ireland. Starting in September 2013, seven Irish secondary schools took part in a pilot study, delivering material prepared by the PACT team to Transition Year students. Three areas of Computer Science were identified as being key to delivering a successful course in computational thinking, namely, programming, algorithms and computability. An overview of the PACT module is provided, as well as analysis of the feedback obtained from students and teachers involved in delivering the initial pilot