A Preliminary Evaluation of the Utility of Sluggish Cognitive Tempo Symptoms in Predicting Behavioral Treatment Response in Children with Behavioral Difficulties
PSYCHOLOGICAL REPORTS
Authors: Little, Kelcey; Raiker, Joseph; Coxe, Stefany; Campez, Mileini; Jusko, Morgan; Smith, Jessica; Gnagy, Elizabeth; Greiner, Andrew; Villodas, Miguel; Coles, Erika; Pelham, William E.
Abstract
Interest in symptoms of sluggish cognitive tempo (SCT) has led to a number of studies evaluating how these symptoms respond to treatment commonly utilized in youths with symptoms of ADHD. No study to date, however, has examined the extent to which symptoms of SCT predict behavioral treatment response in youths across multiple domains of functioning. The current preliminary investigation integrates a number of methodological (e.g., direct observations) and analytic (e.g., Poisson regression) refinements to evaluate the extent to which symptoms of SCT predict treatment responses across multiple domains including behavioral (e.g., interruptions, rule violations), social (e.g., social skills, negative verbalizations), and severe behavioral difficulties (e.g., intentional aggression) above and beyond other demographic characteristics (e.g., symptom severity, Full Scale Intelligence Quotient [FSIQ]). A relatively small sample of 37 children, aged six to 12 years (M = 8.03,SD = 1.83, 35 males: 2 females) attending an eight week multi-component intensive behavioral treatment program for youths with behavioral difficulties participated in the current study. Baseline parental perceptions of SCT were collected prior to the initiation of treatment. Results from this preliminary investigation revealed that pre-treatment SCT symptoms only predicted a less robust treatment response to time out which was associated also with parent's perceptions of underlying working memory problems. Results revealed also that pre-treatment SCT symptoms failed to predict paraprofessional counselor's and teacher's improvement ratings of both rule following and social skills following treatment. Notably, other potential predictors (e.g., symptom severity, FSIQ) also largely failed to predict behavioral treatment response.
Status of the development of NUV SiPMs for INFN optical modules for the SCT medium sized telescope proposed for the CTA observatory
NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT
Authors: Adams, C.; Ambrosi, G.; Ambrosio, M.; Aramo, C.; Benbow, W.; Bertucci, B.; Bissaldi, E.; Bitossi, M.; Boiano, A.; Bonavolonta, C.; Bose, R.; Brill, A.; Buckley, J. H.; Caprai, M.; Covault, C. E.; Di Venere, L.; Feng, Q.; Fiandrini, E.; Gent, A.; Giglietto, N.; Giordano, F.; Halliday, R.; Hervet, O.; Hughes, G.; Humensky, T. B.; Ionica, M.; Jin, W.; Kaaret, P.; Kieda, D.; Kim, B.; Licciulli, F.; Loporchio, S.; Masone, V.; Meures, T.; Mode, B. A. W.; Mukherjeek, R.; Okumura, A.; Otte, N.; Pantaleo, F. R.; Paoletti, R.; Petrashyk, A.; Powell, J.; Powell, K.; Riberio, D.; Rouselle, J.; Rugliancich, A.; Santander, M.; Shang, R.; Stevenson, B.; Stiaccini, L.; Taylor, L. P.; Tosti, L.; Vagelli, V.; Valentino, M.; Vandenbroucke, J.; Vassiliev, V.; Wilcox, P.; Williams, D. A.
Abstract
Near UltraViolet High Density (NUV-HD) SiPMs produced by Fondazione Bruno Kessler in collaboration with INFN have been tested and characterized in INFN laboratories. The third generation of these devices (HD3) has proven to be suitable to equip the focal plane of the prototype Schwarzschild-Couder Medium Size Telescope (pSCT) proposed for the Cherenkov Telescope Array Observatory. Photosensors have been assembled in 4 16-pixel optical units coupled with TARGET-7 ASIC front-end electronics for amplification and digitization of the signal. At present, 9 modules have been successfully integrated on the pSCT camera and are currently taking data. In this contribution we report on the performances of the HD3 technology as single sensor and as assembled optical units, showing their performance and homogeneity in terms of gain and dark count rate.
COA
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