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Regulation of ICER Degradation and Its Role in Melanoma
Full text linkMelanoma is the deadliest form of skin cancer, with 100,640 new cases and 8,290 deaths estimated in the United States in 2024. While targeted therapies and immunotherapy have improved patient outcomes, resistance remains a major challenge, necessitating new therapeutic approaches. Approximately 50% of melanomas harbor BRAFⱽ⁶⁰⁰ᴱ mutations, leading to constitutive MAPK pathway activation. Targeted small molecule therapies such as BRAF and MEK inhibitors are available and initially reduce tumor burden, however resistance frequently occurs, likely through many pathways including compensatory activation of cAMP signaling. ICER (Inducible cAMP Early Repressor), a transcriptional repressor of CREB-mediated gene expression, is absent in melanoma but strongly upregulated in regression, suggesting a tumor-suppressive role. ICER is post-translationally regulated via phosphorylation and ubiquitination, leading to its proteasomal degradation in melanoma cells. This study aims to identify ICER-interacting proteins, including ubiquitin ligases involved in its degradation, using co-immunoprecipitation and mass spectrometry. Additionally, this research investigated the role of ICER phosphorylation in melanoma progression using a transgenic zebrafish model expressing brafV600E, p53 loss-of-function, and mitf loss-of-function. By analyzing survival, histology, and transcriptomic changes in wild-type and phosphorylation-resistant ICER mutants, this study describes ICER’s role in melanoma progression and potential downstream targets, which can inform future therapeutic applications
Youth with Disabilities & Human Trafficking
Full text linkThis flyer is designed to raise awareness among individuals and businesses about the heightened vulnerability of youth with disabilities to human trafficking. With this population facing significantly higher rates of exploitation, the GCHT aims to equip employers with practical steps to identify risks, foster safer environments, and support prevention through education, policy, and ethical business practices
Automated Regulatory Classification of Mobile Medical Apps
Full text linkMobile medical applications provide a variety of functionalities for users, from managing critical personal data to providing basic medical information. However, due to the variety of functionalities and lack of consistent and concrete regulatory oversight across app marketplaces, medical apps potentially pose a threat to users who are generally unaware of app capabilities. Therefore, in order to help legal experts quickly identify which regulatory body applies to medical apps used by consumers, we present a method to convert and plot the prose of both app descriptions and regulatory legalese into a vector space to facilitate rapid cosine similarity scoring. Our study demonstrates how to automate the regulation of mobile medical apps using descriptions in the language of regulatory bodies. Our results show a need for comprehensive regulatory oversight of medical apps, with 54.8% of apps on Google Play and 58% of apps on the Apple App Store
Explainable Artificial Intelligence in Deep Learning-Based Solar Storm Predictions
Full text linkA deep learning model is often considered a black-box model, as its internal workings tend to be opaque to the user. Because of the lack of transparency, it is challenging to understand the reasoning behind the model’s predictions. Here, we present an approach to making a deep learning-based solar storm prediction model interpretable, where solar storms include solar flares and coronal mass ejections (CMEs). This deep learning model, built based on a long short-term memory (LSTM) network with an attention mechanism, aims to predict whether an active region (AR) on the Sun’s surface that produces a flare within 24 hours will also produce a CME associated with the flare. The crux of our approach is to model data samples in an AR as time series and use the LSTM network to capture the temporal dynamics of the data samples. To make the model’s predictions accountable and reliable, we leverage post hoc model-agnostic techniques, which help elucidate the factors contributing to the predicted output for an input sequence and provide insights into the model’s behavior across multiple sequences within an AR. To our knowledge, this is the first time that interpretability has been added to an LSTM-based solar storm prediction model
Influence of Field Trips on Adolescent Environmental Stewardship: Examining the Role of the Dominant Social Paradigm
No full textPromoting environmental stewardship among youths is crucial for inspiring collaborative, multi-generational actions to tackle long-term environmental challenges. This research study explores the impact of an environmental education (EE) field trip, which highlighted wastewater management and renewable energy technology, on high school students using the revised new ecological paradigm (NEP) scale as a key metric in a pre-post survey, which uses traditionally pro (NEP) and anti (dominant social paradigm, DSP) conservationist statements to measure beliefs towards the environment. When applying the Wilcoxon signed-rank test (null hypothesis t = 0, no change) to the series of environmental stewardship action questions “___ is an extremely important part of protecting the environment”, we identified ten out of the thirteen scale questions to show significant change, all of which were positive. Additionally, the overall impact score was positive and significant (p ≤ 0.05). This finding demonstrates that respondents felt more strongly that these variables played a role in protecting the environment after experiencing the field trip. This suggests that exposure to environmental management intervention strategies utilizing man-made infrastructure and technology may enhance human capability to positively influence the environment and mitigate environmental threats, potentially alleviating concerns about environmental issues. These results suggest that environmental stewardship in youth needs to be reconceptualized in an increasingly STEM-focused world, and a new metric should be developed to assess environmental beliefs
06. \u3cem\u3eLisa\u3c/em\u3e (novel - eBook)
No full textLisa is the story of a school year in the life of an adolescent girl and her classmates, a year studded with physical, aesthetic and ethical awakenings. Various events in these young people\u27s lives prompt them to puzzle over such issues as animal rights, sexism, racism, justice, divorce and death. All of them struggle with issues of identity and thinking for oneself - philosophical issues of perennial concern to adolescents. As they begin to recognize the ethical dimensions of their experience, Lisa and her friends puzzle over such philosophical concepts as the right, the fair, the good, perfection, and naturalism. In so doing, they become aware of their interdependence with one another and with nature, and begin to appreciate the complexity of ethical concerns and the multiple capacities involved in making sound ethical judgments.https://digitalcommons.montclair.edu/iapc_middle_schl_curriculum/1010/thumbnail.jp
Dominant mid-to-high-frequency harmonics predict neural encoding and perception of concurrent vowels with large f0 differences
No full textConcurrent vowel perception experiments have revealed the importance of fundamental frequency (f0) differences in speech stream segregation. Understanding neural processes that support speech streaming using f0 differences remains an active area of perceptual and neurocomputational modeling research. This study simultaneously measured subcortical neural encoding [frequency following responses (FFRs)] and cued vowel identification accuracy of 12 concurrent vowel mixtures with large f0 differences (\u3e8 semitones) to assess whether f0-based neural channel selection predicted perception. Results indicated that the strength of f0-based neural channel selection for one vowel often depended on the identity of the competing vowel. FFR f0 amplitudes and cued identification accuracy were predicted by which vowel had more dominant spectral energy in the mid- to high-frequency range (\u3e1500 Hz). Attending to the target vowel in each concurrent vowel mixture did not modulate neural representation of target or nontarget vowels. Together, these findings suggest that speech streaming using f0 differences may be supported by f0-based neural channel selection from dominant unresolved harmonics, at least for competing vowels with large f0 differences
Toward a Consensus Model of Cognitive–Reading Achievement Relations Using Meta-Structural Equation Modeling
No full textCognitive tests measure psychological constructs that predict the development of academic skills. Research on cognitive–reading achievement relations has primarily been completed with single-test batteries and samples, resulting in inconsistencies across studies. The current study developed a consensus model of cognitive–reading achievement relations using meta-structural equation modeling (meta-SEM) through a cross-sectional analysis of subtest correlations from English-language norm-referenced tests. The full dataset used for this study included 49,959 correlations across 599 distinct correlation matrices. These included correlations among 1112 subtests extracted from 137 different cognitive and achievement test batteries. The meta-SEM approach allowed for increased sampling of cognitive and academic reading skills measured by various test batteries to better inform the validity of construct relations. The findings were generally consistent with previous research, suggesting that cognitive abilities are important predictors of reading skills and generalize across different test batteries and samples. The findings are also consistent with integrated cognitive–reading models and have implications for assessment and intervention frameworks
2006 October Laurance J. Splitter at philosophy for children conference in Graz, Austira
No full texthttps://digitalcommons.montclair.edu/iapc_lsplitter_gallery/1004/thumbnail.jp