Launchpad Central (United States)

This paper explores the integration of chemistry and social studies in education to provide a comprehensive understanding of chemical advancements' historical, social, and ethical implications. It highlights the significance of interdisciplinary education, emphasizing how key chemical discoveries have influenced societal structures and public policies. The paper discusses effective teaching methods, such as project-based learning, thematic instruction, and collaborative teaching, to facilitate interdisciplinary learning. Examples of integrated curriculum and lesson plans are provided to illustrate practical implementation. The paper also addresses chemical developments' social and ethical considerations, advocating for responsible scientific practices and the importance of ethical awareness. Recommendations for educators on implementing interdisciplinary teaching strategies are presented, aiming to enrich students' learning experiences and foster critical thinking and problem-solving skills. Ultimately, this approach prepares students to navigate and address complex real-world challenges, promoting informed and responsible global citizenship.

This systematic review explores the landscape of mobile learning models designed to enhance access to STEM education in public secondary schools. Drawing upon theoretical frameworks such as constructivism, socio-cultural learning, and cognitive load theory, the study critically analyzes typologies of mobile learning—including content delivery systems, collaborative platforms, and adaptive learning technologies—and assesses their pedagogical relevance and contextual implementation. The review identifies a diverse range of models that demonstrate potential in improving learner engagement, personalization, and inclusion within STEM subjects. Despite these innovations, the study reveals persistent barriers that hinder effective deployment, including technological limitations, infrastructural disparities, policy fragmentation, and insufficient teacher training. Institutional readiness, curriculum integration, and sustainable funding are highlighted as essential enablers for scaling mobile learning solutions in both urban and rural settings. The paper concludes by offering actionable recommendations for educators, policymakers, and school leaders, and outlines critical directions for future research aimed at fostering equitable, scalable, and culturally responsive mobile learning ecosystems in STEM education.

Deep vein thrombosis (DVT) is a critical complication and concern in hospitalized patients due to its significant morbidity and mortality. Given the complex and multifaceted pathophysiology surrounding DVT formation, patients who have had surgical interventions faced acute or chronic trauma and prolonged immobility are at substantially high risk. Identifying these risk factors early is essential for early intervention and prophylaxis. Current standard-of-care prophylaxis for DVT includes pharmacological agents such as anticoagulants, and recently, there has been an increase in the use of mechanical medical devices such as sequential compression devices (SCDs). Pharmacological prophylaxis, while shown to be effective in some patients, carries certain risks of complications such as bleeding. SCDs offer a safer and more effective approach for these patients. SCDs function by artificially replicating the "pumping mechanism" present in the soleus muscle to enhance venous return and reduce stasis. Various types of SCDs, namely intermittent pneumatic compression and graduated compression stockings, have demonstrated clinical efficacy when used as an adjunctive intervention with anticoagulant medications. This narrative review explores the pathophysiology, risk factors, and prophylactic measures for DVT, focusing on the use of SCDs as a non-pharmacological intervention. Through synthesizing evidence from various studies obtained from PubMed, MEDLINE, and Cochrane Library and evaluating the benefits and limitations of SCD use, this review highlights the need for tailored prophylactic strategies, considering patient-specific risk factors and preferences.

Individuals working in the contemporary industrial sector face a diverse range of obstacles, such as the occurrence of costly item misplacement and the following attempt to locate them. In order to tackle this matter, we are now broadening our research in the realm of object detection and recognition, a subject that has advantages for both the industrial and academic spheres. The proposed system utilizes the Matrix Laboratory (MATLAB) software and employs image transmission and receiving algorithms based on the Internet of Things (IoT) to carry out item identification based on pictures. In this scenario, two discrete 32-bit Advanced RISC Machine (ARM) controllers are effectively used. The experimental setup involves establishing a connection between a camera module and a controller using a camera. The captured image is then transmitted to the STM32F426zi microcontroller through the Universal Asynchronous Receiver and Transmitter (UART) interface. Subsequently, the image is forwarded to the CC3200 microcontroller via Wi-Fi, with the objective of minimizing transmission delay. Finally, the image is transmitted from the CC3200 to MATLAB using the User Datagram Protocol (UDP). The real-time acquisition and transmission of photos is facilitated by a four-wheeled robot, which is navigated along a black line using an infrared (IR) sensor.

In this research, we employ DistilBERT to generate extractive summaries and the T5 model for abstractive summaries. We also create hybrid summaries by integrating the DistilBERT and T5 models. Central to our study is the implementation of a GPT-based refining process designed to minimize hallucinations in AI-generated summaries. We utilize the CNN/DailyMail dataset, consisting of news articles, to generate unrefined extractive, abstractive, and hybrid summaries, which are then refined using our GPT-based process. The evaluation employs metrics such as FactSumm, QAGS, SummaC, ROUGE, and GPT 3.5. Our results demonstrate significant improvements in the accuracy and reliability of the summaries, with notable reductions in hallucinatory content. Post-refinement, QAGS and FactSumm scores increased, indicating enhanced factual consistency and reduced hallucinations, particularly in abstractive summaries. GPT 3.5 scores also improved significantly for abstractive and hybrid summaries. However, SummaC scores decreased due to challenges with NLI assessments, and ROUGE-2 showed no clear trend. Statistical analysis confirmed these improvements, validating the effectiveness of our refinement process.

One central question for cell and developmental biologists is defining how epithelial cells can change shape and move during embryonic development without tearing tissues apart. This requires robust yet dynamic connections of cells to one another, via the cell-cell adherens junction, and of junctions to the actin and myosin cytoskeleton, which generates force. The last decade revealed that these connections involve a multivalent network of proteins, rather than a simple linear pathway. We focus on Drosophila Canoe, homolog of mammalian Afadin, as a model for defining the underlying mechanisms. Canoe and Afadin are complex, multidomain proteins that share multiple domains with defined and undefined binding partners. Both also share a long carboxy-terminal intrinsically disordered region (IDR), whose function is less well defined. IDRs are found in many proteins assembled into large multiprotein complexes. We have combined bioinformatic analysis and the use of a series of canoe mutants with early stop codons to explore the evolution and function of the IDR. Our bioinformatic analysis reveals that the IDRs of Canoe and Afadin differ dramatically in sequence and sequence properties. When we looked over shorter evolutionary time scales, we identified multiple conserved motifs. Some of these are predicted by AlphaFold to be alpha-helical, and two correspond to known protein interaction sites for alpha-catenin and F-actin. We next identified the lesions in a series of eighteen canoe mutants, which have early stop codons across the entire protein coding sequence. Analysis of their phenotypes are consistent with the idea that the IDR, including the conserved motifs in the IDR, are critical for protein function. These data provide the foundation for further analysis of IDR function.

This paper analyzes the welfare effects of unemployment insurance in a life-cycle model, focusing on partial vs. general equilibrium effects. We study an OLG economy with learning-by-doing human capital accumulation. Agents can be employed or unemployed. While unemployed agents costly search for new jobs. We calibrate the model to the U.S. economy, and find that replacement ratio and potential duration are close to the current one. But, in contrast with the previous literature, we find that the optimal policies under general and partial equilibrium are almost the same. Through a series of exercises we conclude that the life-cycle model provides two key components, crucial for welfare evaluation: it emphasizes workers' insurance needs by accurately reproducing the left tail of the wealth distribution, and generates a realistic response of precautionary savings to transfers.

Music has long been an inherent aspect of culture and self-expression. Recently, music has also been used as a form of therapy because of its distinctive ability to relieve stress and promote relaxation in the human body. This has been found to be especially useful as a treatment for stress-linked disorders such as primary insomnia, which is characterized by increased sympathetic nervous system activity (Jerath, R., Beveridge, C., & Barnes, V. A., 2021). Secondary research conducted through a literature review showed that music processing is a “whole-brain activity” (Warren, J., 2008). Stimulation of pleasure centers and regions of the brain which control biorhythms, such as the brain stem, improves mood and promotes relaxation, and therefore better sleep, by releasing hormones such as dopamine and serotonin (Harvard Health, 2021).
 Music therapy’s unique potential as a widely accessible form of therapy inspired me to write this article on the mechanisms in which this form of therapy fosters the well-being of insomnia patients. As the fast-paced lifestyles of many individuals has led to a rapid increase in stress-linked insomnia patients, an effective method of treatment should be available to all.

Uma das formas de levar conhecimento para pacientes com câncer e, consequentemente, melhorar a sua performance é agregar estratégias de cuidado envolvendo a comunicação entre profissional e paciente no sentido de educar e promover saúde por meio de tecnologias de fácil e rápido acesso. Sendo assim, objetivou-se validar o conteúdo do podcast como tecnologia de cuidado em saúde para pacientes oncológicos. Trata-se de um estudo aplicado na produção de mídia que se propõe a construir e desenvolver mídias de áudio (podcasts) que possam ser utilizadas no contexto assistencial. O estudo faz parte de um projeto maior dividido em três etapas distintas e complementares com 13 fases. Validou-se, por meio disso, o conteúdo, a configuração, a funcionalidade e a sonoridade do Podcast produzido por meio de juízes especialistas. Ressaltamos a importância da validação de podcasts os quais devem ser avaliados por especialistas antes de serem propagados para a comunidade em geral.
 Descritores: Estudos de Validação, Podcast, Educação em Saúde, Câncer.
 
 Validation of “podcast” as a means of health promoting in oncology
 Abstract: One of the ways to bring knowledge to cancer patients and, consequently, improve their performance is to add care strategies involving communication between professionals and patients to educate and promote health through easily and quickly accessible technologies. Therefore, the objective was to validate the podcast content as a healthcare technology for cancer patients. This is a study applied in the production of media that proposes to build and develop audio media (podcasts) that can be used in the care context. The study is part of a larger project divided into three distinct and complementary stages with 13 phases. Through this, the content, configuration, functionality, and sound of the Podcast produced by expert judges were validated. We emphasize the importance of validating podcasts that experts must evaluate before being propagated to the community.
 Descriptors: Validation Study, Podcast, Health Education, Cancer.
 
 Validación del “podcast” como medio de promoción de la salud en oncología
 Resumen: Una de las formas de acercar el conocimiento a los pacientes con cáncer y, consecuentemente, mejorar su desempeño es agregar estrategias de atención que involucren la comunicación entre profesionales y pacientes para educar y promover la salud a través de tecnologías de fácil y rápido acceso. Por tanto, el objetivo era validar el contenido del podcast como una tecnología sanitaria para pacientes oncológicos. Se trata de un estudio aplicado en la producción de medios que propone construir y desarrollar medios de audio (podcasts) que puedan ser utilizados en el contexto del cuidado. El estudio es parte de un proyecto mayor dividido en tres etapas distintas y complementarias con 13 fases. A través de este se validó el contenido, configuración, funcionalidad y sonido del Podcast producido por jueces expertos. Resaltamos la importancia de validar los podcasts que los expertos deben evaluar antes de ser propagados a la comunidad.
 Descriptores: Estudio de Validación, Podcast, Educación en Salud, Cancro.