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Physical activity (PA) service provision in the post-secondary context is recognized as important for promoting student mental health. Nonetheless, most evidence is of poor quality and lacks critical information regarding how the PA programs are designed, delivered, and made accessible to students. This study will examine PA program effectiveness for student mental health and social well-being, as well as implementation processes to offer insight for future research and program scale-up. Post-secondary students who are physically inactive and experiencing poor mental health will be recruited. A 3-arm parallel Randomized Controlled Trial, using a hybrid effectiveness-implementation design, will be conducted using a collaborative implementation approach. The effects of 6-week supervised one-on-one and group PA, compared to a waitlist control will be examined, with outcomes assessed at baseline (T1), 6-weeks (T2), and 1-month follow-up (T3). Primary outcomes will include immediate post-program changes (T1-T2) in mental health indices, including anxiety, depression, psychological distress, and well-being. Secondary outcomes will include changes from baseline to follow-up (T1-T3) and maintenance effects from post-intervention to follow-up (T2-T3) in mental health indices, as well as changes in social well-being indices (i.e., social connectedness, social support), and PA behavior. A process evaluation will be conducted to explore contextual influences (i.e., fidelity, adherence, reach, acceptability) on the conduct of implementation across PA program delivery styles. Effectiveness data will be analyzed using linear mixed effects modeling. Process evaluation outcomes will be analyzed using a mixed methods evaluation. A knowledge mobilization plan to enhance dissemination of the findings to the intended audiences (i.e., sport and recreation professionals, mental health professionals, students, researchers) has been developed. ClinicalTrials.gov NCT06350877.

Microbiome studies have demonstrated the high inter-individual diversity of the gut microbiota. However, how the initial composition of the microbiome affects the impact of antibiotics on microbial communities is relatively unexplored. To specifically address this question, we administered a second-generation cephalosporin, cefprozil, to healthy volunteers. Stool samples gathered before antibiotic exposure, at the end of the treatment and 3 months later were analysed using shotgun metagenomic sequencing. On average, 15 billion nucleotides were sequenced for each sample. We show that standard antibiotic treatment can alter the gut microbiome in a specific, reproducible and predictable manner. The most consistent effect of the antibiotic was the increase of Lachnoclostridium bolteae in 16 out of the 18 cefprozil-exposed participants. Strikingly, we identified a subgroup of participants who were enriched in the opportunistic pathogen Enterobacter cloacae after exposure to the antibiotic, an effect linked to lower initial microbiome diversity and to a Bacteroides enterotype. Although the resistance gene content of participants’ microbiomes was altered by the antibiotic, the impact of cefprozil remained specific to individual participants. Resistance genes that were not detectable prior to treatment were observed after a 7-day course of antibiotic administration. Specifically, point mutations in beta-lactamase bla CfxA-6 were enriched after antibiotic treatment in several participants. This suggests that monitoring the initial composition of the microbiome before treatment could assist in the prevention of some of the adverse effects associated with antibiotics or other treatments.

The Thirty-Meter Telescope international observatory will enable transformational observations over the full cosmic timeline all the way from the first luminous objects in the Universe to the planets and moons of our own solar system. To realize its full scientific potential, TMT will be equipped with a powerful suite of adaptive optics systems and science instruments. Three science instruments will be available at first light: an optical multi-object spectrometer, a near-infrared multi-slit spectrometer and a diffraction-limited near-infrared imager and integral field spectrometer. In addition to these three instruments, a diverse set of new instruments under study will bring additional workhorse capabilities to serve the science interests of a broad user community. The development of TMT instruments represents a large, long-term program that offers a wide range of opportunities to all TMT partners.

Simard features the Marcel Dutil Arena in the municipality of Saint-Gedeon-de-Beauce in Quebec Canada, which boasts the world's first 100% C02-based refrigeration system used in an ice rink. The refrigeration system for ice rinks that was developed in this project is a unique refrigeration system that uses the natural refrigerant R-744 (carbon dioxide) as primary and secondary working fluid (this system has Canadian patents with US patents pending).

The TMT Project is completing the design of a telescope with a primary mirror diameter of 30 m, yielding ten times more light gathering power than the largest current telescopes. It is being designed from the outset as a system that will deliver diffraction-limited resolution (8, 15 and 70 milliarcsec at 1.2, 2.2 and 10 microns, respectively) and high Strehl ratios over a 30 arcsecond science field with good performance over a 2 arcmin field. Studies of a representative suite of instruments that span a very large discovery space in wavelength (0.3–30 microns), spatial resolution, spectral resolution and field-of-view demonstrate their feasibility and their tremendous scientific potential. Of particular interest for solar system research, one of these will be IRIS (Infrared Imaging Spectrometer), a NIR instrument consisting of a diffraction-limited imager and an integral-field spectrometer. IRIS will be able to investigate structures with dimensions of only a few tens of kilometers at the distance of Jupiter. Two other instruments, NIRES and MIRES (Near- and Mid IR Echelle Spectrographs) will enable high angular, high spectral resolution observations of solar system objects from the ground with sensitivities comparable to space-based missions. The TMT system is being designed for extremely efficient operation including the ability to rapidly switch to observations with different instruments to take advantage of “targets-of-opportunity” or changing conditions. Thus TMT will provide capabilities that will enable very significant solar system science and be highly synergistic with JWST, ALMA and other planned astronomy missions.

The near-infrared instruments in the upcoming Thirty Meter Telescope (TMT) will be assisted by a multi conjugate Adaptive Optics (AO) system. For the efficient operation of the AO system, during observations, a near-infrared guide star catalog which goes as faint as 22 mag in J Vega band is essential and such a catalog does not exist. A methodology, based on stellar atmospheric models, to compute the expected near-infrared magnitudes of stellar sources from their optical magnitudes is developed. The method is applied and validated in JHKs bands for a magnitude range of J Vega 16–22 mag. The methodology is also applied and validated using the reference catalog of PAN STARRS. We verified that the properties of the final PAN STARRS optical catalog will satisfy the requirements of TMT IRGSC and will be one of the potential sources for the generation of the final catalog. In a broader context, this methodology is applicable for the generation of a guide star catalog for any existing/upcoming near-infrared telescopes.

We have obtained 2640 CCD spectra with resolution ~ 4 Å in the region 7250-9000 Å for 976 stars lying near the red-giant branches in color-magnitude diagrams of 52 Galactic globular clusters. Radial velocities of ~ 16 km s⁻¹ accuracy per star determined from the spectra are combined with other criteria to assess quantitative membership probabilities. Measurements of the equivalent widths of the infrared calcium triplet lines yield a relative metal-abundance ranking with a precision that compares favorably to other techniques. Regressions between our system and those of others are derived. Our reduction procedures are discussed in detail, and the resultant catalog of derived velocities and equivalent widths is presented. The metal abundances derived from these data will be the subject of a future paper.

The requirements for the production of a near Infra-Red Guide Star Catalog (IRGSC) for Thirty Meter Telescope (TMT) observations are identified and presented. A methodology to compute the expected J band magnitude of stellar sources from their optical (g, r, i) magnitudes is developed. The computed and observed J magnitudes of sources in three test fields are compared and the methodology developed is found to be satisfactory for the magnitude range, JVega = 16-22 mag. From this analysis, we found that for the production of final TMT IRGSC (with a limiting magnitude of JVega = 22 mag), we need g, r, i bands optical data which go up to i AB ~ 23 mag. Fine tuning of the methodology developed, such as using Spectral Energy Distribution (SED) template fitting for optimal classification of stars in the fainter end, incorporating spectral libraries in the model, to reduce the scatter, and modification of the existing colour-temperature relation to increase the source density are planned for the subsequent phase of this work. © 2013 Indian Academy of Sciences.

Internal kinematics is rapidly becoming an important tool for understanding the nature and evolution of distant galaxies. However, the very low signal‐to‐noise ratios involved in these observations pose challenges to reduction techniques. We present a synthetic rotation curve technique to analyze spatially resolved emission lines from faint galaxies. This algorithm takes into account important variables, such as intrinsic velocity field, spatial distribution of the line‐emitting gas, telescope point‐spread function, spectrograph slit width, and instrumental profiles. Our technique makes use of the Metropolis algorithm to find the best model parameter values and their confidence intervals. This algorithm proves to be more robust in low signal‐to‐noise regimes than least‐squares fitting. The technique has been tested on a large set of rotation curve simulations and has been successfully used to analyze a sample of 22 field galaxies in the redshift range \\documentclass{aastex} \\usepackage{amsbsy} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{bm} \\usepackage{mathrsfs} \\usepackage{pifont} \\usepackage{stmaryrd} \\usepackage{textcomp} \\usepackage{portland,xspace} \\usepackage{amsmath,amsxtra} \\usepackage[OT2,OT1]{fontenc} \\newcommand\\cyr{ \\renewcommand\\rmdefault{wncyr} \\renewcommand\\sfdefault{wncyss} \\renewcommand\\encodingdefault{OT2} \\normalfont \\selectfont} \\DeclareTextFontCommand{\\textcyr}{\\cyr} \\pagestyle{empty} \\DeclareMathSizes{10}{9}{7}{6} \\begin{document} \\landscape $0.25< z< 0.45$ \\end{document} .