H I - MaNGA : H I follow-up for the MaNGA survey

We present the H I-MaNGA programme of H I follow-up for the Mapping Nearby Galaxies at Apache Point Observatory (MaNGA) survey. MaNGA, which is part of the Fourth phase of the Sloan Digital Sky Surveys, is in the process of obtaining integral field unit spectroscopy for a sample of ∼10 000 nearby galaxies. We give an overview of the H I 21cm radio follow-up observing plans and progress and present data for the first 331 galaxies observed in the 2016 observing season at the Robert C. Bryd Green Bank Telescope. We also provide a cross-match of the current MaNGA(DR15) sample with publicly available H I data from the Arecibo Legacy Fast Arecibo L-band Feed Array survey. The addition of H I data to the MaNGA data set will strengthen the survey's ability to address several of its key science goals that relate to the gas content of galaxies, while also increasing the legacy of this survey for all extragalactic science.Publisher PDFPeer reviewe

Is the economic model of gambling dependent on problem gambling? Evidence from an online survey of regular sports bettors in Britain.

Understanding how the gambling industry generates revenue is of paramount importance. Questions about whether higher volumes of expenditure are concentrated among a small proportion of gamblers, and how this varies by problematic gambling status, underpin policy debate about consumer protection. Analyzing data from two timepoints (T0; T2) from a British longitudinal study of regular sports bettors, we explored both for total (gross) spend and gross spend on individual activities: (a) the concentration of self-reported spend on gambling among individuals; and (b) the extent to which spending was disproportionately generated by those with elevated Problem Gambling Severity Index (PGSI) scores. Results showed that gross gambling expenditure was unequal (GINI-coefficient >0.70 for most activities). At both timepoints, those with a PGSI score of 3+ had an elevated share of spending: at T2, 14.1% of PGSI 3+ gamblers accounted for 43.5% of gross gambling spend. There were differences by activity: lotteries displayed less reliance on those with a PGSI score of 3+ whereas this group contributed over 80% of gross spend on online casinos. Policy attention should focus on reframing the underlying economic model on which some gambling activities are predicated, creating more equal patterns of consumption and less reliance on those harmed

Is the economic model of gambling dependent on problem gambling? Evidence from an online survey of regular sports bettors in Britain

Understanding how the gambling industry generates revenue is of paramount importance. Questions about whether higher volumes of expenditure are concentrated among a small proportion of gamblers, and how this varies by problematic gambling status, underpin policy debate about consumer protection. Analyzing data from two timepoints (T0; T2) from a British longitudinal study of regular sports bettors, we explored both for total (gross) spend and gross spend on individual activities: (a) the concentration of self-reported spend on gambling among individuals; and (b) the extent to which spending was disproportionately generated by those with elevated Problem Gambling Severity Index (PGSI) scores. Results showed that gross gambling expenditure was unequal (GINI-coefficient >0.70 for most activities). At both timepoints, those with a PGSI score of 3+ had an elevated share of spending: at T2, 14.1% of PGSI 3+ gamblers accounted for 43.5% of gross gambling spend. There were differences by activity: lotteries displayed less reliance on those with a PGSI score of 3+ whereas this group contributed over 80% of gross spend on online casinos. Policy attention should focus on reframing the underlying economic model on which some gambling activities are predicated, creating more equal patterns of consumption and less reliance on those harmed

Changes in Brain Oxygenation of Rugby Players Before and After Head Trauma: A Preliminary Study

Clinicians often rely on simple neuropsychological and balance tests to diagnose concussion and determine return to sport. These tests are not fully comprehensive and lack a measure of brain physiology, warranting the need for an objective biomarker, especially in sports with frequent head trauma (e.g., rugby). The high number of concussions occurring in recreational sport necessitates an affordable and accurate biomarker to easily assess both severity of trauma and recovery timeline. The purpose of the present study was to address these issues, using functional near-infrared spectroscopy (fNIRS) to assess relative changes in oxyhemoglobin (O2Hb), deoxyhemoglobin (HHb), total hemoglobin (tHb) and hemoglobin difference (Hbdiff) in the left and right prefrontal cortex (LPFC and RPFC) during a commonly used concussion test (King-Devick (KD)). Healthy baseline data (n=22) was compared to data collected following moderate head trauma during a collegiate rugby game (n=17) and to data collected following significant head trauma (player-reported excessive force to the head) during the game (n=5). Major findings indicate that both Hbdiff and O2Hb were significantly lower in the RPFC following moderate head trauma in comparison to that of baseline. Following significant trauma, HBdiff was significantly lower and HHb was significantly higher in the RPFC. Taken together, these findings indicate reduced activation of the RPFC following rugby competition. Interestingly, no significant differences were observed between conditions in KD results (time to completion, seconds). Since no difference was found in KD scores but there was reduced activation of the RPFC detected in those subjects who had experienced significant head trauma, our preliminary results indicate that clinicians should rely on more objective assessments of brain activity in addition to the currently used concussion tests for full contact sports. Assessing PFC activation via fNIRS may be a viable biomarker for monitoring the physiological state of the brain following a collegiate rugby game

Thermal aerial culling for the control of vertebrate pest populations

Abstract Helicopter-based shooting is an effective management tool for large vertebrate pest animals. However, animals in low-density populations and/or dense habitat can be difficult to locate visually. Thermal-imaging technology can increase detections in these conditions. We used thermal-imaging equipment with a specific helicopter crew configuration to assist in aerial culling for feral pigs (Sus scrofa) and fallow deer (Dama dama) in South Australia in 2021. Seventy-two percent of pigs and 53% of deer were first detected in dense canopy/tall forest habitat. Median time from the first impact shot to incapacitation was < 12 s. The culling rate (animals hour−1) doubled compared to visual shoots over the same populations and the wounding rate was zero resulting in a incapacitation efficiency of 100%. The crew configuration gave the shooter a wide field of view and the thermal operator behind the shooter provided essential support to find new and escaping animals, and to confirm species identification and successful removal. The crew configuration allowed for successful target acquisition and tracking, with reduced target escape. The approach can increase the efficiency of aerial culling, has the potential to increase the success of programs where eradication is a viable option, and can improve animal welfare outcomes by reducing wounding rates and the escape of target animals