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The Development and Impact of a Strength and Conditioning Program for Clients with Autism Spectrum Disorder
Get PDFCross-Situational Statistical Word Learning in Late Language Emergence: An Online Study
No full textPurpose: Cross-situational statistical learning is one mechanism by which typically developing toddlers map words to referents. Yet, this type of statistical learning has been found less efficient in children with developmental language disorder (DLD). The purpose of this article is to evaluate cross-situational statistical learning in very young children with language delay, late talkers (LTs), compared to typically talking toddlers. We predict that LTs will show inefficiency in cross-situational statistical word learning similar to older children with DLD.
Method: LT (n = 15, 18-34 months) and typical talker (TT; n = 15, 18-35 months) groups matched on chronological age and sex completed a cross-situational statistical learning task in which they were trained on six novel word-referent pairs and then tested on these word-referent associations. The experiment was completed on the participant\u27s home computer, and gaze was recorded for the duration of the experiment. Mixed-effects models were used to evaluate group differences in time spent looking at labeled referents as a measure of learning.
Results: The LT group spent an equal proportion of time looking at the named targets and the unnamed distractors when tested, suggesting minimal learning had occurred. The TT group, in contrast, spent a significantly greater proportion of time looking at the targets when labeled, indicating more established word-referent links.
Conclusions: These findings suggest that LTs, like older children with DLD, are less efficient at leveraging cross-situational statistical learning opportunities that may, in addition to other factors, contribute to their slow expressive vocabulary development
Red Light! Green Light! An Analytic Frame & Learning Device for Race Talk
Get PDFPredominantly White educator groups often struggle to talk about race, even when that is their explicit aim. This study examines conversational patterns in one district’s antiracist book study to explore how individual comments promote or obstruct racial dialogue. We find that contributions that blocked race talk (what we call red lights) dominated discussions, reinforcing norms of race avoidance, while those that opened and encouraged race talk (what we call green lights) were rare. We use these terms to structure our analysis and propose them as a framework to help educators identify and disrupt race-avoidant conversational patterns to encourage racial literacy development. This research underscores the critical role of facilitation in guiding race talk and highlights the potential for red lights to be reframed as opportunities for growth
Comparison of Strength Development in Traditional Set-Repetition Configuration Versus Accentuated Eccentric Loading Training over a 4-Week Strength-Endurance Block
No full textMcDowell, K, Long, A, Chae, S, Nelson, A, Goode, N, Lis, R, Mizuguchi, S, Baur, M, Duca, M, Wagle, JP, Fry, AC, Daniel, G, and Stone, MH. Comparison of strength development in traditional set-rep configuration vs. accentuated eccentric loading training over a 4-week strength-endurance block. J Strength Cond Res XX(X): 000-000, 2025-This study investigated the chronic effects of accentuated eccentric loading (AEL) paired with cluster sets (CS) on strength. Seventeen (11 men and 6 women) recreationally active subjects (23.18 ± 4.15 years, 1.72 ± 0.1 m, 81.29 ± 22.18 kg) were randomly assigned to AEL (n = 9) and traditional (TRAD) (n = 8) groups. During 4 weeks of training, AEL group performed 3 sets of (5 × 2) repetitions of back squat and bench press using weight releasers and CS, whereas TRAD group performed the same total sets and reps and exercises using traditional loading and set structures. Dynamic (back squat and bench press 1 repetition maximum [1RM]) and isometric (midthigh pull peak force and rate of force development) strength were tested before and after training and analyzed using a 2-way analysis of variance. There was a main effect of time for back squat 1RM (p = 0.008; 125.0 ± 42.4-131.0 ± 42.2 kg) and back squat + bench press 1RM (p = 0.02; 213.0 ± 74.6-220.0 ± 75.3 kg). No significant interaction effects were observed in any variables posttraining (p \u3e 0.05). Although the isometric rate of force development decreased in both groups, TRAD showed a shaper decline than AEL after training (-20.57% [g = -0.33] vs. -0.93% [g = -0.01]). The benefit of AEL paired with CS in maximum dynamic strength may not outweigh its logistical burden. However, practitioners may consider this method in maintaining the isometric rate of force development during high-volume training
Evaluating the Efficacy of ChatGPT-3.5 Versus Human-Delivered Text-Based Cognitive-Behavioral Therapy: A Comparative Pilot Study
No full textObjective: The aim of this study was to compare the effectiveness of an artificial intelligence (AI) therapist (ChatGPT-3.5) and a human therapist in delivering text-based cognitive-behavioral therapy (CBT). Cognitive Therapy Rating Scale (CTRS) scores and qualitative responses from participants were used to assess ChatGPT-3.5\u27s capabilities within the limitations of this deployment.
Methods: A cross-sectional survey was administered to 208 mental health professionals and trainees, 75 of whom completed the study. Participants assessed two text-based CBT transcripts (AI therapist and human therapist) using the CTRS and provided qualitative feedback. Both the AI therapist and the human therapist were presented with identical clinical scenarios to ensure consistency.
Results: The human therapist outperformed ChatGPT-3.5 across most CTRS domains (α=0.001). More than half (52%) of the respondents rated the human therapist\u27s agenda setting highest, with a score of 6, compared with 28% who gave this rating to ChatGPT-3.5. In elicited feedback, 29% rated the human therapist as highly effective (score=6), whereas only 9% rated ChatGPT-3.5 similarly (p\u3c 0.001). The human therapist also scored higher on guided discovery (24% vs. 12%, p\u3c 0.001). ChatGPT-3.5 was rated similarly to the human therapist in understanding the patient\u27s internal reality (36% vs. 19%, p=0.004) but was often seen as less personalized and more rigid.
Conclusions: The findings suggest that although ChatGPT-3.5 may complement human-based therapy, this specific implementation of AI lacked the depth required for stand-alone use. These findings, however, cannot be generalized to all AI-based therapy because the study did not account for the diverse ways therapy can be delivered
Tiffany & Company- Charles Lewis Tiffany
No full textThose blue boxes that we like receiving as gifts had a modest beginning, Founded by Charles Tiffany and John B. Young, started has a stationary and luxury goods store in NY City. In 1853, Charles Tiffany took sole control, narrowed the company’s focus to jewelry, and rebranded it as Tiffany & Company. Tiffany was born in Killingly.https://digitalcommons.sacredheart.edu/didyouknow/1020/thumbnail.jp
One-dimensional Compact Connected Abelian Groups and Nonsplitting Extensions
No full textThe one-dimensional compact connected abelian groups, called solenoids, are classified and constructed as topological subgroups of the torus Tℵ0. For an arbitrary solenoid Σ≠T, we exhibit a nonsplitting extension of Σ by a profinite group, dual to a nonsplitting extension 0→tor(A)→A→F→0 of abelian groups where F is a rank-1 torsion-free group ≠Z. The constructed groups A are generalizations of examples of Fuchs
Spectrum, Volume 54, Issue 10
Get PDFHighlights include: What’s New at SHU (in Dingle)? - Give It Up for Giving Day! - SHU Provides a Forum for the “Voices of Tomorrow”- Dance Program Seniors Prepare for Their Final Bow - From Building Blocks to Blockbuster - SCMA Seniors Create Capstone Projects - Five Pioneers Looking to the Pro