Search

Artificial light at night (ALAN) changes animal behavior in multiple invertebrates and vertebrates and can result in decreased fitness. However, ALAN effects have not been studied in European honey bees (Apis mellifera), an important pollinator in which foragers show strong circadian rhythmicity. Colonies can be exposed to ALAN in swarm clusters, when bees cluster outside the nest on hot days and evenings, and, in limited cases, when they build nests in the open. We captured and maintained foragers in incubated cages and subjected them to constant light (LL), constant dark (DD), or 12 h light:12 h dark (LD) cycle, and observed them with infrared cameras. After 79 h, there was a significant interaction of treatment and time because LL bees slept less. In detail, the bees maintained a regular sleep pattern for three days but LL bees showed a shift on the fourth day. LL bees had the largest sleep differences from LD controls, with trends of lengthened periods and increased phase misalignment from both LD and DD bees. LL bees also experienced significantly more disturbances from their nestmates and preferred to sleep in the lower portion of the cages, which had significantly lower light intensity. These findings suggest that ALAN can disrupt the sleep of honey bee foragers, which has implications for their behavior and overall colony health.

Computer engineering students should develop competences related to the contents of databases design and SQL queries. For this purpose, the recommendations on the convenience of changing the traditional teaching methodology to the flipped classroom are followed. In this article we present a quantitative study in which we compare the potential for the development of engineering students' competences in the design and use of databases of the flipped classroom methodology and the traditional teaching methodology. The results obtained in the evaluation of the subject in two different courses are compared. In the first course, traditional teaching methodology was used. In the second one, flipped classroom was used when its implementation had already been tried and tested. In this article we show evidence that the implementation of the flipped classroom teaching methodology provides different results depending on the learning promoted and on the specific contents in the subject of relational databases. We have found evidence that flipped classroom improve theoretical learning outcomes for database design and in the resolution of non-reproductive activities in the SQL queries block. No conclusive benefits are reported for students' competency development for either of the two content blocks.

This study used sequential exploratory, mixed-method research that explored the influence of authentic tasks on adult language learners' interactions in e-forums. The participants belonged to a blended-flipped program of English as a Foreign Language (EFL). E-Forum posting in the course aimed at encouraging beginner learners to exchange experiences; however, participation in the e-forums did not evolve into spontaneous interactions. Therefore, authentic tasks were designed and implemented in the e-forum. Data were gathered from learners' participation registers, surveys, and interviews and by executing a content-analysis procedure. After analyzing the data, one main category and three subcategories emerged. The main category showed that implementing authentic tasks on students' e-forums interactions led to the collaborative construction of a cognitive-social e-learning environment. The main category comprised three subcategories: (a) building a learning community by interweaving affective-communicative actions, (b) promoting an online learning environment through authenticity, and (c) moving from individual to collective knowledge construction. Findings suggest that the implementation of authentic tasks on e-forums: (a) increased learners' meaningful interactions mediated by social, cognitive, and teaching presences; (b) helped to construct significant and lifelong knowledge collectively; and (c) fostered a stronger learning community through participants' affective-communicative actions.

Background: Child care quality rating and improvement systems exist to inform child care decisions and improve the quality of care. While previous research has shown QRIS have effects on quality, less is known about how child care providers vary in engagement and improvement within QRIS. In a voluntary QRIS, it is important to understand how providers vary in motivation, engagement, and progress within the system. Objective: Identify provider characteristics and attitudes that predict QRIS quality advancement. Identify and describe provider subgroups whose rates of quality improvement were different. Method: A random sample of providers (N = 179) and their coaches were interviewed five times over 2 years. The outcome was change in QRIS levels. Predictors were type of care, personal/professional characteristics, QRIS motivation, and coach perceptions of provider motivation and likelihood to advance. Linear regression was used to model change in QRIS level over five time points. Latent profile analysis was used to sort providers into classes. Results: Significant overall predictors of QRIS change were providers' education level and fewer years of experience, and coach's perception of the provider's likelihood to advance. Four subgroups in the latent profile analysis varied by rate of advancement, type of care, education, experience, professional engagement, QRIS motivation, and general readiness to change. Conclusions: Results point to the importance of assessing early and continuing attitudes, engagement, professionalization, and education of participating child care providers. The incentives and needs of providers in most QRIS will vary widely. Technical support geared to provider characteristics will be more effective in improving within QRIS.

BACKGROUND: Facial feminization may be performed to alleviate gender dysphoria among transfeminine patients. The upper third of the face has several characteristics, including hairline shape and position, brow position, and forehead protrusion, that may confer feminine identity. The purpose of this study is to conduct a scoping literature review of techniques performed for forehead feminization and to additionally study clinical outcomes within an institutional cohort. METHODS: A systematic literature review was conducted to review articles that discussed techniques and clinical outcomes associated with procedures performed for feminization of the upper third of the face. A retrospective review of patients undergoing such procedures by the senior author was then conducted. Variables collected included demographic factors, operative details, and postoperative outcomes such as complications, revisions, and re-operations. RESULTS: Initial review yielded sixty-seven articles. Title and abstract review followed by standardized application of inclusion and exclusion criteria resulted in a total of twenty-two studies for analysis. Priorities of forehead feminization entail frontal bossing reduction, frontonasal angle widening, orbital contouring, brow lifting, and hairline advancement. Eighty-five patients were included for analysis. The majority were of Caucasian race (56%) and had type 3 forehead classification (92%). The average planned setback of the anterior table was 4.12 mm. CONCLUSIONS: The core tenets of the feminization of the forehead lie in the overall creation of a harmonic curvature of the forehead with other facial features. Our multi-pronged analysis presents an updated review of these principles, which may help plastic surgeons in performing procedures to feminize the upper third of the face. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these evidence-based medicine ratings, please refer to Table of Contents or online Instructions to Authors www.springer.com/00266.

The bacterium Rickettsia sibirica mongolitimonae (formerly R. mongolotimonae) has become an emerging cause of tickborne rickettsiosis since the 1990s. R. sibirica mongolitimonae was first documented as a human pathogen in [...]

Abstract Skin cancer is one of the most common types of cancer worldwide, with exposure to UVB radiation being a significant risk factor for its development. To prevent skin cancer, continuous research efforts have focused on finding suitable photoprotective ingredients from natural sources that are also environmentally friendly. This study aimed to develop oil-in-water photoprotective nanoemulsions containing marine macroalgae extract. A Box–Behnken experimental design was used to identify the most promising formulation composition, resulting in optimal physical properties. These properties, including droplet size, polydispersity index (PDI), and zeta potential, were evaluated using dynamic light scattering (DLS). To assess the photoprotection capacity of the formulations, electrical impedance spectroscopy (EIS) was employed to evaluate alterations in the electrical characteristics of excised pig skin membranes placed in Franz cells equipped with a 4-electrode set-up. The final composition of the nanoemulsion was caprylic/capric triglycerides 4%, Macrogolglycerol ricinoleate 30%, and algae extract 1%. The nanoemulsions had an average droplet size of 128.5 ± 8.6 nm, a PDI of 0.25 ± 0.06, and a zeta potential of 45.14 ± 0.02 mV. Compared to the control group, the photoprotective capacity of the oil-in-water nanoemulsions was statistically significant. Specifically, only a 15% reduction in the skin membrane electrical resistance following UVB exposure was observed when the formulation containing algae extract was used, whereas a 50% reduction was observed for the vehicle. In conclusion, this work demonstrates that the developed nanoemulsions based on natural ingredients show promising protective capacity against UVB exposure of the skin.

This paper investigates the determinants of environmental sustainability by analyzing the impact of various economic, fiscal, and energy-related variables on greenhouse gas (GHG) emissions and energy intensity (EI) across 27 European Union member states from 2005 to 2022. Using dynamic panel data analysis through the system Generalized Method of Moments (GMM) estimator, we explore how key factors such as GDP per capita growth, foreign direct investment (FDI), portfolio investments (PI), trade openness (TO), and stock market performance (SMP) influence environmental outcomes. Additionally, the analysis examines the role of fiscal policies, represented by government deficit/surplus (GDT), and energy-related factors, such as renewable energy consumption (REC) and research and development expenditure (ERD), in shaping sustainability. The findings reveal that while GDP growth correlates positively with increased GHG emissions, it negatively impacts energy intensity, suggesting that economic expansion may drive emissions upward while concurrently promoting greater energy efficiency. Trade openness significantly mitigates GHG emissions, indicating that enhanced international trade facilitates access to cleaner technologies. The effects of FDI and PI present a more ambivalent picture, often associated with elevated GHG emissions in the absence of stringent regulatory frameworks. Notably, renewable energy adoption emerges as a critical driver of sustainability, effectively mitigating the environmental impacts of globalization. This study provides valuable insights into the complex interplay between economic globalization and environmental sustainability, offering actionable policy recommendations to align economic growth with the EU's long-term environmental objectives.