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The aging population in the world constitutes one of the greatest challenges of the 21st century across social sectors; dental education is no exception. This review explored the status of geriatric dentistry teaching in Cuba and contrasted it with examples from international curricula and programs. Google Scholar, PubMed, Wiley, and Scielo databases were used to search for articles that address geriatric dentistry topics, focusing on undergraduate curricular issues and the management of postgraduate specialization. The findings highlight the need to update curricula and programs for dentistry studies in Cuba to improve the quality of dental care for the aging population. The evolution of training future Cuban graduates aims to meet the healthcare needs of older adults while preserving their quality of life. Additionally, the incorporation of new information and communication technologies has been observed during this process. © 2024, IGI Global. All rights reserved.

This study explores the link between cash holdings and performance outcomes in public restaurant companies in the United States, leveraging the critical role played by the industry context. We hypothesize that cash holdings have positive associations with both short-term and long-term firm performance in the restaurant industry. Our empirical analyses, based on fixed-effect regression models that control for all time-invariant variables, reveal that holding cash can improve performance in the restaurant industry, in support of our hypotheses.

The structure of blood vessels in the retina is a crucial factor in identifying and forecasting various eye diseases like cardiovascular diseases, diabetes, and other diseases. Therefore, detecting the structure of blood vessels from retinal fundus images is a critical field of research in healthcare. This study employed a novel deep learning model to segment vessels for different diseases, including Glaucoma, Diabetic Retinopathy (DR), and Age-related Macular Degeneration (AMD). We considered multiple transfer learning-based models and discovered that the ResNet-based U-Net architecture was the most effective for vessel segmentation, achieving the highest Dice Score above 84% for disease-agnostic, and 82%-84% for disease-specific conditions. We believe the proposed methodology will help to advance retinal vessel segmentation process and enhance the screening process of diseases based on retinal fundus images in clinical settings of Qatar Biobank as well as other biobanks across the globe. © 2023 IEEE.

Assessments of oral reading are widely used for screening, progress monitoring, and comprehensive evaluations. Despite the utility and technical adequacy of these tools, there are subgroups of students for whom measures of oral reading may be inappropriate. The first section of this article focuses on how tests of oral reading may underestimate word reading ability and reading fluency among four subgroups of students with speech, language, or learning difficulties. These include school-age students who demonstrate word-finding difficulties (which are common among students with a learning disability or developmental language disorder), developmental stuttering, childhood apraxia of speech, and pediatric dysarthria. The second section offers practical recommendations for more accurate assessment procedures, correct placement decisions, relevant professional learning activities, and strategic interdisciplinary teaming. © Hammill Institute on Disabilities 2023.

We have prepared CuS and CuS-rGO nanocomposites via the hydrothermal method. The physical properties of the synthesized materials were studied through x-ray diffraction and scanning electron microscopy. The supercapacitor characteristics were evaluated by cyclic voltammetric and galvanostatic charge–discharge studies. The cyclic voltammetric studies conform the pseudocapacitive nature of CuS and CuS-rGO electrodes. The specific capacitance of CuS was obtained as 207, 150, and 97 F/g at a current density of 0.5, 5, and 20 A/g, respectively. The rGO-CuS nanocomposite showed improved specific capacitance of 350, 251, and 149 F/g at current densities of 0.5, 5, and 20 A/g, respectively. © 2023 Author(s).

Recently, the field of research exploring the links between neurodivergence and the LGBTQ+ community has grown. Many queer adults who were not diagnosed as children are just now receiving neurodivergent diagnoses. Nick Walker coined the term “neuroqueer” in 2015 to describe the intersection of being both neurodivergent and queer. “Neuroqueering” refers to the embodying and expressing of one’s neurodivergence in ways that also queer one’s performance of gender, sexuality, ethnicity, and/or other aspects of one’s identity (Walker 2021). Considering the increase of queer representation in the outdoors, it is necessary to also address neuroqueering and its implications for the outdoor community. This conceptual article will address the connection between neurodivergence and the LGBTQ+ community, implications for the queer outdoors, and ways to include neuroqueer recreationalists and outdoor advocates in efforts to make the outdoors more equitable.

Public school secondary physical education needs support. One approach in assisting is to improve the next generation of preservice physical education teachers (PPETs). The purpose of the study was to explore PPET secondary physical education training through the secondary teaching methods course offered in two universities in the US. A total of 14 PPETs participated in the study. Qualitative methods were employed through a phenomenological framework. Semi-structured interviews were analyzed using constant comparative methods [Kolb (2012). Grounded theory and the constant comparative method: Valid research strategies for educators. Journal of Emerging Trends in Educational Research and Policy Studies, 3(1), 83–86]. Two themes emerged: (a) PPETs have a stronghold on management, as they displayed feelings of high importance towards this topic, and (b) preparing for quality instruction when cooperating teachers are not, resulting in PPETs’ questioning the importance of lesson planning. PPETs views on the misalignment of university and district practices are troubling and suggest university and K-12 partnerships to be formed. Future research should examine ways to improve field experiences associated with these courses.

Human mesenchymal stem cells (hMSCs) are multipotent progenitor cells with the potential to differentiate into various cell types, including osteoblasts, chondrocytes, and adipocytes. These cells have been extensively employed in the field of cell-based therapies and regenerative medicine due to their inherent attributes of self-renewal and multipotency. Traditional approaches for assessing hMSCs differentiation capacity have relied heavily on labor-intensive techniques, such as RT-PCR, immunostaining, and Western blot, to identify specific biomarkers. However, these methods are not only time-consuming and economically demanding, but also require the fixation of cells, resulting in the loss of temporal data. Consequently, there is an emerging need for a more efficient and precise approach to predict hMSCs differentiation in live cells, particularly for osteogenic and adipogenic differentiation. In response to this need, we developed innovative approaches that combine live-cell imaging with cutting-edge deep learning techniques, specifically employing a convolutional neural network (CNN) to meticulously classify osteogenic and adipogenic differentiation. Specifically, four notable pre-trained CNN models, VGG 19, Inception V3, ResNet 18, and ResNet 50, were developed and tested for identifying adipogenic and osteogenic differentiated cells based on cell morphology changes. We rigorously evaluated the performance of these four models concerning binary and multi-class classification of differentiated cells at various time intervals, focusing on pivotal metrics such as accuracy, the area under the receiver operating characteristic curve (AUC), sensitivity, precision, and F1-score. Among these four different models, ResNet 50 has proven to be the most effective choice with the highest accuracy (0.9572 for binary, 0.9474 for multi-class) and AUC (0.9958 for binary, 0.9836 for multi-class) in both multi-class and binary classification tasks. Although VGG 19 matched the accuracy of ResNet 50 in both tasks, ResNet 50 consistently outperformed it in terms of AUC, underscoring its superior effectiveness in identifying differentiated cells. Overall, our study demonstrated the capability to use a CNN approach to predict stem cell fate based on morphology changes, which will potentially provide insights for the application of cell-based therapy and advance our understanding of regenerative medicine.

Traditional crisis management approaches have often overlooked the role of community and nonprofit organizations. In this study, we investigated how nonprofits and communities contributed to problem-solving during crises through self-organization on social media. We applied social network analysis to 17,732 interactions using #TwitterFoodBank, a self-organized network emerged during the early stage of COVID-19 to address food insecurity. Our results highlighted the significant role of nonprofits in coordinating the community’s self-organized network. However, they also revealed a lack of coordination among these organizations in maintaining a viable network. These findings have valuable implications for nonprofits seeking to leverage the potential of online self-organized communities in crisis management.

The polarization of Λ and ¯Λ hyperons along the beam direction has been measured relative to the second and third harmonic event planes in isobar Ru+Ru and Zr+Zr collisions at √sNN=200 GeV. This is the first experimental evidence of the hyperon polarization by the triangular flow originating from the initial density fluctuations. The amplitudes of the sine modulation for the second and third harmonic results are comparable in magnitude, increase from central to peripheral collisions, and show a mild pT dependence. The azimuthal angle dependence of the polarization follows the vorticity pattern expected due to elliptic and triangular anisotropic flow, and qualitatively disagrees with most hydrodynamic model calculations based on thermal vorticity and shear induced contributions. The model results based on one of existing implementations of the shear contribution lead to a correct azimuthal angle dependence, but predict centrality and pT dependence that still disagree with experimental measurements. Thus, our results provide stringent constraints on the thermal vorticity and shear-induced contributions to hyperon polarization. Comparison to previous measurements at RHIC and the LHC for the second-order harmonic results shows little dependence on the collision system size and collision energy.

A young boy remembers fond childhood memories at his grandmother's house, where he learned the small things in life that truly mattered.

Disruptive technological changes, including carbon capture and storage, can have macroeconomic rebound effects that pose a threat to long term environmental sustainability when not accompanied by pollution taxes. The paper demonstrates that when the elasticity of intertemporal substitution is less than one, implementing a Pigouvian tax effectively stabilizes pollution emissions, regardless of technical and consumption elasticities of substitution. However, if the elasticity of intertemporal substitution exceeds one, flexibility in technical or consumption substitution could cause sustainable growth to falter. The policy implications concerning the role of subsidies for clean technology are discussed.

CuS and CuS-rGO nanocomposites were synthesized by the hydrothermal method. The synthesized CuS and rGO-CuS nanocomposite materials were physically characterized by X-ray diffraction (XRD) and scanning electron microscope (SEM) and were evaluated electrochemically for supercapacitor applications. The specific capacitance of CuS was determined to be 207 F/g, 150 F/g, and 97 F/g at a current density of 0.5 A/g, 5 A/g, and 20 A/g, respectively. The rGO-CuS nanocomposite showed improved specific capacitance of 350 F/g, 251 F/g, and 149 F/g at a current density of 0.5 A/g, 5 A/g, and 20 A/g, respectively.

Globally, air pollution accounts for approximately one in eight deaths, and diarrheal diseases account for one in nine child deaths annually. Lead exposure contributes to concerns of heart disease, stroke, and developmental intellectual disability. Further, across the world, nearly 23 million people are displaced by extreme weather events each year, which have been exacerbated by climate change and contribute to physical and mental health implications for entire communities. These and many other environmentally related experiences and their subsequent health outcomes are not experienced equally by race, ethnicity, or income, with Black, Brown, and Indigenous communities and low-income communities repeatedly experiencing the heaviest of burdens. Due to a variety of historic and contemporary policy and planning decisions, these patterns of environmental injustice persist on local, national, and global scales. In response, environmental justice (EJ) is a social movement, as well as a belief that people of all backgrounds deserve access to clean air and water and a healthy community in which to thrive. This chapter heavily focuses on the USA and its environmental health inequities, policies, and historic EJ movement. However, in our globalized society, EJ is a global issue that must be addressed as such by the field of public health.