288 research outputs found

    Manifestations of hard and soft technologies in immersive spaces

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    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

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    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 variationβ€”including rare and common variants, single-nucleotide and copy-number variantsβ€”in 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

    Self-assembled Containers based on Extended-Tetrathiafulvalene

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    International audienc

    Social media conversations about high engagement sports team brands

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    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 brand’s 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

    ΠžΡ†Π΅Π½ΠΊΠ° возмоТностСй Ρ€Π°ΠΊΠ΅Ρ‚Ρ‹-носитСля для Π²Ρ‹Π²ΠΎΠ΄Π° срСдств ΠΎΡ‚Π²ΠΎΠ΄Π° космичСских ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² с ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠΉ ΠΎΡ€Π±ΠΈΡ‚Ρ‹

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    Розглянуто основні Π΄ΠΆΠ΅Ρ€Π΅Π»Π° утворСння космічного сміття Π½Π° космічних ΠΎΡ€Π±Ρ–Ρ‚Π°Ρ… Ρ‚Π° ΡˆΠ»ΡΡ…ΠΈ ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ ΠΌΡ–Π½Ρ–ΠΌΡ–Π·Π°Ρ†Ρ–Ρ— забруднСння Π½Π°Π²ΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ простру. Показано, Ρ‰ΠΎ основними ΡˆΠ»ΡΡ…Π°ΠΌΠΈ Π±ΠΎΡ€ΠΎΡ‚ΡŒΠ±ΠΈ Π· космічним сміттям Ρ” запобігання появі Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΉ видалСння Π²ΠΆΠ΅ Ρ–ΡΠ½ΡƒΡŽΡ‡ΠΎΠ³ΠΎ. Π’ΠΈΠ·Π½Π°Ρ‡Π΅Π½Ρ– ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΈ Ρ‚Π° засоби ΡƒΠ²ΠΎΠ΄Ρƒ космічних Π°ΠΏΠ°Ρ€Π°Ρ‚Ρ–Π² Π· Ρ€ΠΎΠ±ΠΎΡ‡ΠΈΡ… ΠΎΡ€Π±Ρ–Ρ‚ Π·Π° закінчСнням Ρ‚Π΅Ρ€ΠΌΡ–Π½Ρƒ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ існування ΠΉ Π²Ρ–Π΄ΠΎΠΌΡ– способи ΠΉ систСми Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ видалСння Π²Π΅Π»ΠΈΠΊΠΈΡ… Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚Ρ–Π² космічного сміття. Π―ΠΊ основний ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏ видалСння Π²Π΅Π»ΠΈΠΊΠΈΡ… об’єктів Π· Π½Π°Π²ΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ космічного простору, Ρ€ΠΎΠ·Π³Π»ΡΠ΄Π°Ρ”Ρ‚ΡŒΡΡ ΠΊΠ΅Ρ€ΠΎΠ²Π°Π½Π΅ Ρ—Ρ… звСдСння Π² Ρ‰Ρ–Π»ΡŒΠ½Ρ– ΡˆΠ°Ρ€ΠΈ атмосфСри ΡˆΠ»ΡΡ…ΠΎΠΌ використання ΡΠΏΠ΅Ρ†Ρ–Π°Π»ΡŒΠ½ΠΎΠ³ΠΎ космічного Π°ΠΏΠ°Ρ€Π°Ρ‚Π° - космічного сміттєзбирача, Π΄ΠΎ складу якого Π²Ρ…ΠΎΠ΄ΠΈΡ‚ΡŒ Π΄Π²ΠΈΠ³ΡƒΠ½Π½Π° установка. Π’ΠΈΠΊΠΎΠ½Π°Π½Π° ΠΎΡ†Ρ–Π½ΠΊΠ° моТливостСй Ρ€Π°ΠΊΠ΅Ρ‚-носіїв, які ΠΌΠΎΠΆΡƒΡ‚ΡŒ Π±ΡƒΡ‚ΠΈ застосовані для вивСдСння Ρ†ΠΈΡ… сміттєзбирачів Π½Π° Π·Π°Π΄Π°Π½Ρ– ΠΎΡ€Π±Ρ–Ρ‚ΠΈ.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.РассмотрСны основныС источники образования космичСского мусора Π½Π° космичСских ΠΎΡ€Π±ΠΈΡ‚Π°Ρ…, ΠΏΡƒΡ‚ΠΈ ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΌΠΈΠ½ΠΈΠΌΠΈΠ·Π°Ρ†ΠΈΠΈ загрязнСния ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ пространства. Показано, Ρ‡Ρ‚ΠΎ основными путями Π±ΠΎΡ€ΡŒΠ±Ρ‹ с космичСским мусором являСтся ΠΏΡ€Π΅Π΄ΠΎΡ‚Π²Ρ€Π°Ρ‰Π΅Π½ΠΈΠ΅ появлСния Π½ΠΎΠ²ΠΎΠ³ΠΎ ΠΈ удалСния ΡƒΠΆΠ΅ ΡΡƒΡ‰Π΅ΡΡ‚Π²ΡƒΡŽΡ‰Π΅Π³ΠΎ. ΠžΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Ρ‹ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹ ΠΈ срСдства Π²Ρ‹Π²ΠΎΠ΄Π° космичСских Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚ΠΎΠ² с Ρ€Π°Π±ΠΎΡ‡ΠΈΡ… ΠΎΡ€Π±ΠΈΡ‚ Π·Π° истСчСниСм срока Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ сущСствования, извСстныС способы ΠΈ систСмы Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ удалСния ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… Ρ„Ρ€Π°Π³ΠΌΠ΅Π½Ρ‚ΠΎΠ² космичСского мусора. Как основной ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏ удалСния ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΎΠ² ΠΈΠ· ΠΎΠΊΠΎΠ»ΠΎΠ·Π΅ΠΌΠ½ΠΎΠ³ΠΎ космичСского пространства, рассматриваСтся управляСмоС ΠΈΡ… возвСдСния Π² ΠΏΠ»ΠΎΡ‚Π½Ρ‹Π΅ слои атмосфСры ΠΏΡƒΡ‚Π΅ΠΌ использования ΡΠΏΠ΅Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎΠ³ΠΎ космичСского Π°ΠΏΠΏΠ°Ρ€Π°Ρ‚Π° - космичСского мусоросборщика, Π² состав ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠ³ΠΎ Π²Ρ…ΠΎΠ΄ΠΈΡ‚ Π΄Π²ΠΈΠ³Π°Ρ‚Π΅Π»ΡŒΠ½Π°Ρ установка. Π’Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π° ΠΎΡ†Π΅Π½ΠΊΠ° возмоТностСй Ρ€Π°ΠΊΠ΅Ρ‚-носитСлСй, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹Π΅ ΠΌΠΎΠ³ΡƒΡ‚ Π±Ρ‹Ρ‚ΡŒ ΠΏΡ€ΠΈΠΌΠ΅Π½Π΅Π½Ρ‹ для Π²Ρ‹Π²ΠΎΠ΄Π° этих мусоросборщиков Π½Π° Π·Π°Π΄Π°Π½Π½Ρ‹Π΅ ΠΎΡ€Π±ΠΈΡ‚Ρ‹

    Targeted next generation sequencing as a tool for precision medicine

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    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) 1A1βˆ—28. 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 UGT1A1βˆ—28. 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

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    The favorable spatial organization imposed by the square planar 4,4β€²-di(tert-butyl)-2,2β€²-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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