A qualitative analysis of the social and cultural contexts that shape screen time use in Latino families living on the U.S.-Mexico border

Purpose: The purpose of this study was to understand how first generation Latino parents, whose primary language is Spanish and live in a colonia on the U.S.-Mexico border, use screen time in their homes. Methods: A purposeful sampling approach was used to recruit eligible parents of pre-adolescents (ages 9–14) who were native Spanish speakers, and living on the U.S.-Mexico border. Three focus groups in Spanish (two with mothers and one with fathers) were conducted. Data were codified using a general inductive approach based on grounded theory. A consensus process was repeated until a final codebook was developed. Results: Screen time allowed parents to foster familismo (family cohesiveness and bonding) and respeto (respect). Parents knew that a healthy balance of media use is important, but broader social contexts (marital discord and economics) challenged the enforcement of familial screen time rules and parents were often permissive. Conclusions: Our study addressed research gaps by examining the understudied social and cultural contexts (practices, routines, rules, and beliefs) that shape children’s screen time use among a sample of Latino immigrants living on the U.S.-Mexico border. This sample of parents indicated that familismo and respeto (i.e., cohesiveness and bonding) influence familial decision-making including screen time

Prevalence of overweight misperception and weight control behaviors among normal weight adolescents in the United States

Weight perceptions and weight control behaviors have been documented with underweight and overweight adolescents, yet limited information is available on normal weight adolescents. This study investigates the prevalence of overweight misperceptions and weight control behaviors among normal weight adolescents in the U.S. by sociodemographic and geographic characteristics. We examined data from the 2003 Youth Risk Behavior Survey (YRBS). A total of 9,714 normal weight U.S. high school students were included in this study. Outcome measures included self-reported height and weight measurements, overweight misperceptions, and weight control behaviors. Weighted prevalence estimates and odds ratios were computed. There were 16.2% of normal weight students who perceived themselves as overweight. Females (25.3%) were more likely to perceive themselves as overweight than males (6.7%) (p < 0.05). Misperceptions of overweight were highest among white (18.3%) and Hispanic students (15.2%) and lowest among black students (5.8%). Females (16.8%) outnumbered males (6.8%) in practicing at least one unhealthy weight control behavior (use of diet pills, laxatives, and fasting) in the past 30 days. The percentage of students who practiced at least one weight control behavior was similar by ethnicity. There were no significant differences in overweight misperception and weight control behaviors by grade level, geographic region, or metropolitan status. A significant portion of normal weight adolescents misperceive themselves as overweight and are engaging in unhealthy weight control behaviors. These data suggest that obesity prevention programs should address weight misperceptions and the harmful effects of unhealthy weight control methods even among normal weight adolescents

Process-informed subsampling improves subseasonal rainfall forecasts in Central America

Subseasonal rainfall forecast skill is critical to support preparedness for hydrometeorological extremes. We assess how a process-informed evaluation, which subsamples forecasting model members based on their ability to represent potential predictors of rainfall, can improve monthly rainfall forecasts within Central America in the following month, using Costa Rica and Guatemala as test cases. We generate a constrained ensemble mean by subsampling 130 members from five dynamic forecasting models in the C3S multimodel ensemble based on their representation of both (a) zonal wind direction and (b) Pacific and Atlantic sea surface temperatures (SSTs), at the time of initialization. Our results show in multiple months and locations increased mean squared error skill by 0.4 and improved detection rates of rainfall extremes. This method is transferrable to other regions driven by slowly-changing processes. Process-informed subsampling is successful because it identifies members that fail to represent the entire rainfall distribution when wind/SST error increases

Artificial Intelligence and Authorship Editor Policy: ChatGPT, Bard Bing AI, and beyond

Artificial intelligence and large-language model chatbots have generated significant attention in higher education, and in research practice. Whether ChatGPT, Bard, Jasper Chat, Socratic, Bing AI, DialoGPT, or something else, these are all shaping how education and research occur. In this Editorial, we offer five editorial principles to guide decision-making for editors, which will also become policy for the Journal of University Teaching and Learning Practice. First, we articulate that non-human authorship does not constitute authorship. Second, artificial intelligence should be leveraged to support authors. Third, artificial intelligence can offer useful feedback and pre-review. Fourth, transparency of artificial intelligence usage is an expectation. And fifth, the use of AI in research design, conduct, and dissemination must comply with established ethical principles. In these five principles, we articulate a position of optimism for the new forms of knowledge and research we might garner. We see AI as a mechanism that may augment our current practices but will not likely replace all of them. However, we do issue caution to the limitations of large language models including possible proliferation of poor-quality research, Stochastic Parroting, and data hallucinations. As with all research, authors should be comfortably familiar with the underlying methods being used to generate data and should ensure a clear understanding of the AI tools being used prior to deployment for research

‘Wat de boer niet kent’:Een onderzoek naar het effect van formulering (technisch versus niet-technisch) op de acceptatie van kweekvlees

Cultured meat looks, feels and tastes like conventional meat, but is much less destructive for humans, animals and the environment. However, consumer acceptance of cultured meat is still not very high, which may have to do with the perceived unnaturalness of the way it is produced. Previous research has suggested that part of this unease can be taken away if the textual description of the production process makes use of non-technical terms, instead of the rather technical terms that are often used in information brochures. The current study failed to replicate these earlier findings: there were no significant differences between the technical text, the non-technical text, and a control condition in which no description of the production process was included. Furthermore, from our results it appears that the feeling of ‘disgust’ that is evoked when participants read about cultured meat is central in the acceptance process, and not ‘perceived naturalness’ as has been hypothesized earlier. Thus, it seems to be important to focus on reducing the feeling of disgust in further communications about cultured meat, for instance by creating associations with pleasant and tasty sensations, and leave out descriptions of the production process altogether

La relación entre los juegos de viodeo violentos, la aculturación y la agresión entre adolescentes latinos

Multiple factors are involved in the occurrence of aggressive behavior. The purpose of this study was to evaluate the hypotheses that Latino middle school children exposed to higher levels of video game playing will exhibit a higher level of aggression and fighting compared to children exposed to lower levels and that the more acculturated middle school Latino children will play more video games and will prefer more violent video games compared to less acculturated middle school Latino children. This study involved 5,831 students attending eight public schools in Texas. A linear relationship was observed between the time spent playing video games and aggression scores. Higher aggression scores were significantly associated with heavier video playing for boys and girls (p &lt; 0.0001). The more students played video games, the more they fought at school (p &lt; 0.0001). As Latino middle school students were more acculturated, their preference for violent video game playing increased, as well as the amount of time they played video games. Students who reported speaking more Spanish at home and with their friends were less likely to spend large amounts of time playing video games and less likely to prefer violent video games (p &lt; 0.05).Múltiples factores están relacionados con el comportamiento agresivo. El propósito de este estudio fue evaluar dos hipótesis: 1) estudiantes latinos de sexto a octavo grado expuestos a numerosas horas de juegos de video mostraran altos niveles de agresión y pelearan mas comparados con los estudiantes expuestos a menos horas de juego de video y, 2) mientras más aculturados sean los estudiantes latinos de sexto a octavo grado, mas tiempo pasarán jugando juegos de video y preferirán más los juegos de video violentos en comparación con los estudiantes menos aculturados. Este estudio incluye 5.831 estudiantes de ocho escuelas públicas de Houston, Texas. Se observó una relación lineal entre la cantidad de tiempo invertido en juegos de videos y los puntajes en la escala de agresión. Se encontró una asociación positiva y estadísticamente significativa entre los puntajes más altos en la escala de agresión y la cantidad de tiempo que los estudiantes indicaron jugar juegos de video. Esta asociación fue positiva tanto para ambos sexos (

Evaluation of robustly optimised intensity modulated proton therapy for nasopharyngeal carcinoma

BACKGROUND AND PURPOSE: To evaluate the dosimetric changes occurring over the treatment course for nasopharyngeal carcinoma (NPC) patients treated with robustly optimised intensity modulated proton therapy (IMPT). MATERIALS AND METHODS: 25 NPC patients were treated to two dose levels (CTV1: 70Gy, CTV2: 54.25Gy) with robustly optimised IMPT plans. Robustness evaluation was performed over 28 error scenarios using voxel-wise minimum distributions to assess target coverage and voxel-wise maximum distributions to assess possible hotspots and critical organ doses. Daily CBCT was used for positioning and weekly repeat CTs (rCT) were taken, on which the plan dose was recalculated and robustly evaluated. Deformable image registration was used to warp and accumulate the nominal, voxel-wise minimum and maximum rCT dose distributions. Changes to target coverage, critical organ and normal tissue dose between the accumulated and planned doses were investigated. RESULTS: 2 patients required a plan adaptation due to reduced target coverage. The D98% in the accumulated voxel-wise minimum distribution was higher than planned for CTV1 in 24/25 patients and for CTV2 in 20/25 patients. Maximum doses to the critical organs remained acceptable in all patients. Other normal tissue doses showed some variation as a result of soft tissue deformations and weight change. Normal tissue complication probabilities for grade ≥2 dysphagia and grade ≥2 xerostomia remained similar to planned values. CONCLUSION: Robustly optimised IMPT plans, in combination with volumetric verification imaging and adaptive planning, provided robust target coverage and acceptable OAR dose variation in our NPC cohort when accumulated over longitudinal data

Process‐informed subsampling improves subseasonal rainfall forecasts in Central America

Subseasonal rainfall forecast skill is critical to support preparedness for hydrometeorological extremes. We assess how a process-informed evaluation, which subsamples forecasting model members based on their ability to represent potential predictors of rainfall, can improve monthly rainfall forecasts within Central America in the following month, using Costa Rica and Guatemala as test cases. We generate a constrained ensemble mean by subsampling 130 members from five dynamic forecasting models in the C3S multimodel ensemble based on their representation of both (a) zonal wind direction and (b) Pacific and Atlantic sea surface temperatures (SSTs), at the time of initialization. Our results show in multiple months and locations increased mean squared error skill by 0.4 and improved detection rates of rainfall extremes. This method is transferrable to other regions driven by slowly-changing processes. Process-informed subsampling is successful because it identifies members that fail to represent the entire rainfall distribution when wind/SST error increases

Impact of ultra-thin struts on restenosis after chronic total occlusion recanalization: Insights from the randomized PRISON IV trial

The PRISON-IV trial showed inferior outcome in patients with chronic total occlusions (CTOs) treated with the ultrathin-struts (60\u2009\u3bcm for stent diameter 643\u2009mm, 81\u3bcm &gt;3\u2009mm) hybrid-sirolimus eluting stents (SES) compared with everolimus eluting stents (EES, 81\u2009\u3bcm). The aim of this study is to investigate if the use of smaller stents ( 643\u2009mm) was responsible for the inferior outcome reported in the trial