38 research outputs found
Mars Mysteries: Landform Pictograms
Graphic organizers are a way for teachers to accommodate students with disabilities such as poor memory or emotional disorders. This technique allows organization of thoughts and visual representation of relationships between ideas and facts. Indeed, poor memory affects students’ reflection and retention of information while emotional disorders can cause a lack of focus in the classroom. Accommodations for students with these disabilities is important because students with emotional disorders may experience social isolation, which in turn may negatively affect their levels of academic achievement. Twenty high-achieving doctoral students participated in a teaching experience designed to introduce gifted students with learning disabilities to using de Bono thinking skills to mediate the possible negative effects of the disabilities through an arts-integrated project focused on some of the mysteries of the planet Mars. The results of this practical lesson showed that the students used their previous experiences in most cases to interpret the different photographs presented. Graphic organizers helped them organize their thought processes and the learning experience. Instruction needs to be woven tightly with the use of interactive materials and graphic organizers
Current Challenges in Fostering the European Innovation Ecosystem
The present report discusses innovation challenges under the following headings:
The 3% R&D target and industrial structure: is it still a relevant goal? if we cannot achieve the 3% target, does it make sense to keep it?
Technology diffusion: how can we combat its sluggishness and speed up adoption?
Access to finance: is the large amount of liquidity being funnelled to "zombie" companies instead of highly innovative ones?
Universities and skills: are higher education institutions adequately playing their role in driving innovation?
The governance of the R&I system: how to remove administrative barriers and increase flexibility?
Can SSH research contribute more to shaping R&I policies?JRC.B.7-Knowledge for Finance, Innovation and Growt
Trapping in irradiated p-on-n silicon sensors at fluences anticipated at the HL-LHC outer tracker
The degradation of signal in silicon sensors is studied under conditions expected at the CERN High-Luminosity LHC. 200 m thick n-type silicon sensors are irradiated with protons of different energies to fluences of up to neq/cm. Pulsed red laser light with a wavelength of 672 nm is used to generate electron-hole pairs in the sensors. The induced signals are used to determine the charge collection efficiencies separately for electrons and holes drifting through the sensor. The effective trapping rates are extracted by comparing the results to simulation. The electric field is simulated using Synopsys device simulation assuming two effective defects. The generation and drift of charge carriers are simulated in an independent simulation based on PixelAV. The effective trapping rates are determined from the measured charge collection efficiencies and the simulated and measured time-resolved current pulses are compared. The effective trapping rates determined for both electrons and holes are about 50% smaller than those obtained using standard extrapolations of studies at low fluences and suggests an improved tracker performance over initial expectations
Longitudinal monitoring of various indicators of performance throughout a season for a NCAA Division I women\u27s volleyball team
The purpose of this longitudinal study is to recognize the training load distribution pattern over a competitive season period and its impact on physical performance and mental toughness for a NCAA female volleyball Division I team.
The training load and its different indicators was calculated over the 18 week season period using the s-RPE. Fifteen female NCAA Division I volleyball players participated to this study. A weekly plyometric jump assessment was performed using the Reactive Strength Index (RSI), and a battery of tests including agility, vertical jump, anaerobic capacity, and a mental toughness questionnaire (MeBTough) was performed at the beginning and the end of the season.
The results show a decrease of training load throughout the season with an increase of the ground contact time without impacting the RSI for the team. The RSI performance decreased throughout the season for some individuals in the team. The 2, 3, and 4 week cumulative load impacted the most the components of the RSI. A decrease of anaerobic performance from pre- to post-season was observed. Although not significantly, mental toughness seemed to change over time according to playing time.
The current findings suggest that a certain amount of training needs to be maintain in NCAA Division I female volleyball players in order to maintain ground reactivity in the plyometric performance. Training load distribution and in-season lifting season program should be revisited in order to optimize performance through an in-season period. The findings also highlight the importance of individualizing the training according to the response of each individual
Corporate R&D intensity decomposition: different data, different results?
Research and Development (R&D) indicators are used to facilitate international comparisons and as targets for research and innovation policy. An example of such an indicator is R&D intensity. The decomposition of the aggregate corporate R&D intensity is able to explain the differences in R&D intensity between countries by determining whether is the result of firms' underinvestment in R&D or of the differences across sectors. Despite its importance, the literature of corporate R&D intensity decomposition has been developed only recently. This article reviews for the first time the different methodological frameworks of corporate R&D intensity decomposition and how they are used in practice, shedding light on why sometimes empirical results seem to be contradictory. It inspects how the use of different data sources and analytical methods affect R&D intensity decomposition results, and what the analytical and policy implications are. The article also provides methodological and analytical guidance to analysts and policymakers.SCOPUS: ar.jinfo:eu-repo/semantics/publishe
The transcription factor ERG recruits CCR4-NOT to control mRNA decay and mitotic progression.
Control of mRNA levels, a fundamental aspect in the regulation of gene expression, is achieved through a balance between mRNA synthesis and decay. E26-related gene (Erg) proteins are canonical transcription factors whose previously described functions are confined to the control of mRNA synthesis. Here, we report that ERG also regulates gene expression by affecting mRNA stability and identify the molecular mechanisms underlying this function in human cells. ERG is recruited to mRNAs via interaction with the RNA-binding protein RBPMS, and it promotes mRNA decay by binding CNOT2, a component of the CCR4-NOT deadenylation complex. Transcriptome-wide mRNA stability analysis revealed that ERG controls the degradation of a subset of mRNAs highly connected to Aurora signaling, whose decay during S phase is necessary for mitotic progression. Our data indicate that control of gene expression by mammalian transcription factors may follow a more complex scheme than previously anticipated, integrating mRNA synthesis and degradation