288 research outputs found
Manifestations of hard and soft technologies in immersive spaces
Immersive spaces are innately flexible. However, for learners, some constraints and scaffolding may often be valuable. This paper looks at immersive spaces as soft and hard technologies. Soft technologies are technologies enabling creative and flexible use, while hard technologies embed processes that limit creativity but provide efficiency and freedom from error. Technologies may be softened or hardened by assembly. For instance, if your Learning Management System (LMS) has no wiki, then it may be softened by adding one from outside the system. If your wiki has no assessment management system, then it may be hardened by using a LMS. For learning, the intrinsically soft nature of immersive spaces sometimes requires scaffolded hardening. This paper provides an example of an ongoing project that realizes these soft and hard technologies in an immersive virtual space and discusses the rich potential of such spaces for technology assembly
The Genetic Determinants of Complex Lipid and Lipoprotein Phenotypes
Cardiovascular disease (CVD) is the primary cause of death globally and is estimated to cause one-third of deaths in Canada. Each year, millions of Canadians are affected by CVD despite ongoing efforts to reduce risk through lifestyle modifications and pharmacological therapies. With the expected rise in CVD prevalence due to the obesity epidemic, we need to better understand the genetic basis of heritable, modifiable risk factors, including levels of high-density lipoprotein (HDL) cholesterol and triglyceride, for insights into future therapeutic treatments and risk prediction. Through the use of a targeted next-generation sequencing panel designed specifically to study lipid and metabolic disorders, I have explored a spectrum of genetic variationβincluding rare and common variants, single-nucleotide and copy-number variantsβin over 3,000 DNA samples isolated from individuals with abnormal lipid phenotypes, including: (i) hypoalphalipoproteinemia; (ii) hyperalphalipoproteinemia; and (iii) hypertriglyceridemia. From my research efforts, I demonstrated that the majority of individuals with abnormal HDL cholesterol levels did not carry many phenotypically-relevant genetic factors, but in those who did, rare variants were more prevalent in individuals with extremely low HDL cholesterol levels, while both rare variants and the accumulation of common variants were approximately equal in individuals with extremely high HDL cholesterol levels. Meanwhile, hypertriglyceridemia had a stronger genetic basis, with common variant accumulation being the most prevalent genetic determinant. Further, I uncovered that genetic determinants are more prevalent as the hypertriglyceridemia phenotype becomes more severe, and a genetic locus, CREB3L3, may have an extremely important, previously unappreciated role in hypertriglyceridemia susceptibility. By better understanding the genetic underpinnings of abnormal levels of HDL cholesterol and triglyceride, future efforts can explore the relationship between these phenotypes and their genetic determinants, and how we might leverage this information to develop better therapeutics to lower levels of these risk factors or create screening methods to identify individuals who might be at higher risk for CVD
Social media conversations about high engagement sports team brands
This study conducts an analysis of social media discussions related to high engagement sports brands. More specifically, our study examined the English Premier League (EPL). Our study sought to retrieve data systematically over the same day, weekly, for a period of 5-months. After this process we had built twenty datasets and NodeXL was utilised to analyse the data. After we had this data we were able to use qualitative observations to identify key users and conversations that formed around the EPL as well as the connections between the conversations that arose from the brandβs posts and people involved in them. We also analysed the quantitative data underpinning our network visualisations to provide further insights. The most obvious initial finding was that when the EPL tweets, this prompted a large volume of conversations directly related to these tweets. However, we also noted that EPL tweets also help instigate further, sometimes unrelated tweets and conversations. More specifically, we identified that the visualised network of conversations was of a broadcast form, which is characterised by messages being generated by a central account (the EPL) and shared by a number of decentralised users. Based on our analysis we propose the SCISM framework that is likely to be of interest to brands that wish to promote, sustain, and benefit from their instigation of social media conversations
Tetrathiafulvalene-based architectures : from recognition properties to self-assembly
Date du colloque : 06/2010</p
ΠΡΠ΅Π½ΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ°ΠΊΠ΅ΡΡ-Π½ΠΎΡΠΈΡΠ΅Π»Ρ Π΄Π»Ρ Π²ΡΠ²ΠΎΠ΄Π° ΡΡΠ΅Π΄ΡΡΠ² ΠΎΡΠ²ΠΎΠ΄Π° ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² Ρ ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠΉ ΠΎΡΠ±ΠΈΡΡ
Π ΠΎΠ·Π³Π»ΡΠ½ΡΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½Ρ Π΄ΠΆΠ΅ΡΠ΅Π»Π° ΡΡΠ²ΠΎΡΠ΅Π½Π½Ρ ΠΊΠΎΡΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΠΌΡΡΡΡ Π½Π° ΠΊΠΎΡΠΌΡΡΠ½ΠΈΡ
ΠΎΡΠ±ΡΡΠ°Ρ
ΡΠ° ΡΠ»ΡΡ
ΠΈ ΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΠΌΡΠ½ΡΠΌΡΠ·Π°ΡΡΡ Π·Π°Π±ΡΡΠ΄Π½Π΅Π½Π½Ρ Π½Π°Π²ΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΡ. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΠΈΠΌΠΈ ΡΠ»ΡΡ
Π°ΠΌΠΈ Π±ΠΎΡΠΎΡΡΠ±ΠΈ Π· ΠΊΠΎΡΠΌΡΡΠ½ΠΈΠΌ ΡΠΌΡΡΡΡΠΌ Ρ Π·Π°ΠΏΠΎΠ±ΡΠ³Π°Π½Π½Ρ ΠΏΠΎΡΠ²Ρ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΉ Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ Π²ΠΆΠ΅ ΡΡΠ½ΡΡΡΠΎΠ³ΠΎ. ΠΠΈΠ·Π½Π°ΡΠ΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄ΠΈ ΡΠ° Π·Π°ΡΠΎΠ±ΠΈ ΡΠ²ΠΎΠ΄Ρ ΠΊΠΎΡΠΌΡΡΠ½ΠΈΡ
Π°ΠΏΠ°ΡΠ°ΡΡΠ² Π· ΡΠΎΠ±ΠΎΡΠΈΡ
ΠΎΡΠ±ΡΡ Π·Π° Π·Π°ΠΊΡΠ½ΡΠ΅Π½Π½ΡΠΌ ΡΠ΅ΡΠΌΡΠ½Ρ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΠ½ΡΠ²Π°Π½Π½Ρ ΠΉ Π²ΡΠ΄ΠΎΠΌΡ ΡΠΏΠΎΡΠΎΠ±ΠΈ ΠΉ ΡΠΈΡΡΠ΅ΠΌΠΈ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ Π²Π΅Π»ΠΈΠΊΠΈΡ
ΡΡΠ°Π³ΠΌΠ΅Π½ΡΡΠ² ΠΊΠΎΡΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΠΌΡΡΡΡ. Π―ΠΊ ΠΎΡΠ½ΠΎΠ²Π½ΠΈΠΉ ΠΏΡΠΈΠ½ΡΠΈΠΏ Π²ΠΈΠ΄Π°Π»Π΅Π½Π½Ρ Π²Π΅Π»ΠΈΠΊΠΈΡ
ΠΎΠ±βΡΠΊΡΡΠ² Π· Π½Π°Π²ΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΠΌΡΡΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΠΎΡΡ, ΡΠΎΠ·Π³Π»ΡΠ΄Π°ΡΡΡΡΡ ΠΊΠ΅ΡΠΎΠ²Π°Π½Π΅ ΡΡ
Π·Π²Π΅Π΄Π΅Π½Π½Ρ Π² ΡΡΠ»ΡΠ½Ρ ΡΠ°ΡΠΈ Π°ΡΠΌΠΎΡΡΠ΅ΡΠΈ ΡΠ»ΡΡ
ΠΎΠΌ Π²ΠΈΠΊΠΎΡΠΈΡΡΠ°Π½Π½Ρ ΡΠΏΠ΅ΡΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΠΌΡΡΠ½ΠΎΠ³ΠΎ Π°ΠΏΠ°ΡΠ°ΡΠ° - ΠΊΠΎΡΠΌΡΡΠ½ΠΎΠ³ΠΎ ΡΠΌΡΡΡΡΠ·Π±ΠΈΡΠ°ΡΠ°, Π΄ΠΎ ΡΠΊΠ»Π°Π΄Ρ ΡΠΊΠΎΠ³ΠΎ Π²Ρ
ΠΎΠ΄ΠΈΡΡ Π΄Π²ΠΈΠ³ΡΠ½Π½Π° ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ°. ΠΠΈΠΊΠΎΠ½Π°Π½Π° ΠΎΡΡΠ½ΠΊΠ° ΠΌΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡΠ΅ΠΉ ΡΠ°ΠΊΠ΅Ρ-Π½ΠΎΡΡΡΠ², ΡΠΊΡ ΠΌΠΎΠΆΡΡΡ Π±ΡΡΠΈ Π·Π°ΡΡΠΎΡΠΎΠ²Π°Π½Ρ Π΄Π»Ρ Π²ΠΈΠ²Π΅Π΄Π΅Π½Π½Ρ ΡΠΈΡ
ΡΠΌΡΡΡΡΠ·Π±ΠΈΡΠ°ΡΡΠ² Π½Π° Π·Π°Π΄Π°Π½Ρ ΠΎΡΠ±ΡΡΠΈ.The main sources of space debris in space orbit, ways and means to minimize the near-Earth space pollution. It is shown that the main ways to combat space Muso-set is to prevent the emergence of a new and deleting already-established th. Define methods and means of O spacecraft from working orbits of the expiration of the term of active existence, the known methods and B tem of active removal of space debris larger. As wasps basic principles remove large objects from near-Earth space, is considered to manage their erection in the dense layers of the atmosphere through the use of a special spacecraft - cosmic-ray clean sweep, which includes the propulsion system. You are a full assessment of the capabilities of carrier rockets, which can be applied to us, the withdrawal of these garbage trucks into the desired orbit.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠΎΡΠ° Π½Π° ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΎΡΠ±ΠΈΡΠ°Ρ
, ΠΏΡΡΠΈ ΠΈ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ Π·Π°Π³ΡΡΠ·Π½Π΅Π½ΠΈΡ ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°. ΠΠΎΠΊΠ°Π·Π°Π½ΠΎ, ΡΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΡΠΌΠΈ ΠΏΡΡΡΠΌΠΈ Π±ΠΎΡΡΠ±Ρ Ρ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌ ΠΌΡΡΠΎΡΠΎΠΌ ΡΠ²Π»ΡΠ΅ΡΡΡ ΠΏΡΠ΅Π΄ΠΎΡΠ²ΡΠ°ΡΠ΅Π½ΠΈΠ΅ ΠΏΠΎΡΠ²Π»Π΅Π½ΠΈΡ Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΈ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΡΠΆΠ΅ ΡΡΡΠ΅ΡΡΠ²ΡΡΡΠ΅Π³ΠΎ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ ΠΌΠ΅ΡΠΎΠ΄Ρ ΠΈ ΡΡΠ΅Π΄ΡΡΠ²Π° Π²ΡΠ²ΠΎΠ΄Π° ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΈΡ
Π°ΠΏΠΏΠ°ΡΠ°ΡΠΎΠ² Ρ ΡΠ°Π±ΠΎΡΠΈΡ
ΠΎΡΠ±ΠΈΡ Π·Π° ΠΈΡΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ ΡΡΠΎΠΊΠ° Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΡΡΠ΅ΡΡΠ²ΠΎΠ²Π°Π½ΠΈΡ, ΠΈΠ·Π²Π΅ΡΡΠ½ΡΠ΅ ΡΠΏΠΎΡΠΎΠ±Ρ ΠΈ ΡΠΈΡΡΠ΅ΠΌΡ Π°ΠΊΡΠΈΠ²Π½ΠΎΠ³ΠΎ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΠΊΡΡΠΏΠ½ΡΡ
ΡΡΠ°Π³ΠΌΠ΅Π½ΡΠΎΠ² ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠΎΡΠ°. ΠΠ°ΠΊ ΠΎΡΠ½ΠΎΠ²Π½ΠΎΠΉ ΠΏΡΠΈΠ½ΡΠΈΠΏ ΡΠ΄Π°Π»Π΅Π½ΠΈΡ ΠΊΡΡΠΏΠ½ΡΡ
ΠΎΠ±ΡΠ΅ΠΊΡΠΎΠ² ΠΈΠ· ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΏΡΠΎΡΡΡΠ°Π½ΡΡΠ²Π°, ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ ΡΠΏΡΠ°Π²Π»ΡΠ΅ΠΌΠΎΠ΅ ΠΈΡ
Π²ΠΎΠ·Π²Π΅Π΄Π΅Π½ΠΈΡ Π² ΠΏΠ»ΠΎΡΠ½ΡΠ΅ ΡΠ»ΠΎΠΈ Π°ΡΠΌΠΎΡΡΠ΅ΡΡ ΠΏΡΡΠ΅ΠΌ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ΠΈΡ ΡΠΏΠ΅ΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π°ΠΏΠΏΠ°ΡΠ°ΡΠ° - ΠΊΠΎΡΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΌΡΡΠΎΡΠΎΡΠ±ΠΎΡΡΠΈΠΊΠ°, Π² ΡΠΎΡΡΠ°Π² ΠΊΠΎΡΠΎΡΠΎΠ³ΠΎ Π²Ρ
ΠΎΠ΄ΠΈΡ Π΄Π²ΠΈΠ³Π°ΡΠ΅Π»ΡΠ½Π°Ρ ΡΡΡΠ°Π½ΠΎΠ²ΠΊΠ°. ΠΡΠΏΠΎΠ»Π½Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΠ΅ΠΉ ΡΠ°ΠΊΠ΅Ρ-Π½ΠΎΡΠΈΡΠ΅Π»Π΅ΠΉ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ Π΄Π»Ρ Π²ΡΠ²ΠΎΠ΄Π° ΡΡΠΈΡ
ΠΌΡΡΠΎΡΠΎΡΠ±ΠΎΡΡΠΈΠΊΠΎΠ² Π½Π° Π·Π°Π΄Π°Π½Π½ΡΠ΅ ΠΎΡΠ±ΠΈΡΡ
Targeted next generation sequencing as a tool for precision medicine
Background: Targeted next-generation sequencing (NGS) enables rapid identification of common and rare genetic variation. The detection of variants contributing to therapeutic drug response or adverse effects is essential for implementation of individualized pharmacotherapy. Successful application of short-read based NGS to pharmacogenes with high sequence homology, nearby pseudogenes and complex structure has been previously shown despite anticipated technical challenges. However, little is known regarding the utility of such panels to detect copy number variation (CNV) in the highly polymorphic cytochrome P450 (CYP) 2D6 gene, or to identify the promoter (TA)7 TAA repeat polymorphism UDP glucuronosyltransferase (UGT) 1A1β28. Here we developed and validated PGxSeq, a targeted exome panel for pharmacogenes pertinent to drug disposition and/or response. Methods: A panel of capture probes was generated to assess 422 kb of total coding region in 100 pharmacogenes. NGS was carried out in 235 subjects, and sequencing performance and accuracy of variant discovery validated in clinically relevant pharmacogenes. CYP2D6 CNV was determined using the bioinformatics tool CNV caller (VarSeq). Identified SNVs were assessed in terms of population allele frequency and predicted functional effects through in silico algorithms. Results: Adequate performance of the PGxSeq panel was demonstrated with a depth-of-coverage (DOC) β₯ 20Γ for at least 94% of the target sequence. We showed accurate detection of 39 clinically relevant gene variants compared to standard genotyping techniques (99.9% concordance), including CYP2D6 CNV and UGT1A1β28. Allele frequency of rare or novel variants and predicted function in 235 subjects mirrored findings from large genomic datasets. A large proportion of patients (78%, 183 out of 235) were identified as homozygous carriers of at least one variant necessitating altered pharmacotherapy. Conclusions: PGxSeq can serve as a comprehensive, rapid, and reliable approach for the detection of common and novel SNVs in pharmacogenes benefiting the emerging field of precision medicine
C60 Recognition from Extended Tetrathiafulvalene Bis-acetylide Platinum(II) Complexes
The favorable spatial organization imposed by the square planar 4,4β²-di(tert-butyl)-2,2β²-bipyridine (dbbpy) platinum(II) complex associated with the electronic and shape complementarity of Ο-extended tetrathiafulvalene derivatives (exTTF) toward fullerenes is usefully exploited to construct molecular tweezers, which display good affinities for C60
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