Publications by authors named "N Vitale"
We present a model for the noise and inherent stochasticity of fluorescence signals in both continuous wave (CW) and time-gated (TG) conditions. When the fluorophores are subjected to an arbitrary excitation photon flux, we apply the model and compute the evolution of the probability mass function (pmf) for each quantum state comprising a fluorophore's electronic structure, and hence the dynamics of the resulting emission photon flux. Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm.
View Article and Find Full Text PDFAndrogen receptor (AR) signaling is the principal driver of prostate cancer, and drugs that target this pathway (e.g., abiraterone and enzalutamide) are standard treatments for metastatic hormone-sensitive prostate cancer and metastatic castration-resistant prostate cancer (mCRPC).
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- Fentanyl abuse, especially illicitly manufactured fentanyl (IMF), has become a significant issue, with limited research on its psychological effects, prompting a scoping review to create a comprehensive profile of vulnerable populations.
- This review followed PRISMA guidelines and involved analyzing 17,737 reports from various databases, ultimately narrowing it down to 10 relevant studies on the psycho-social implications of IMF use.
- Findings reveal that IMF users tend to be younger and have a low perception of risk; there's also a notable link between fentanyl use and mental health issues, highlighting the need for psychotherapy and digital tools to address the crisis.
Article Synopsis
- Functional traits are essential for understanding how ecosystems work and adapt to global changes, but inconsistent data standards hinder research in this area.
- This text introduces a roadmap for creating community data standards specifically for trait-based research on bees, including a sharing protocol and an overview of current research gaps.
- The authors highlight the need for standardized measurement methods and present a dataset containing morphological traits from over 1600 bee species, aimed at improving data accessibility and promoting collaborative ecological research on bees.
Article Synopsis
- - This paper introduces a neural recording integrated circuit (IC) designed for brain-computer interfaces, allowing for high-bandwidth and single-cell resolution data compression during digitization to manage large amounts of data more efficiently.
- - The IC reduces the output data rate by 146× by eliminating unnecessary baseline samples while still enabling the reconstruction of important neural signals, using a low-power design and an effective routing system.
- - Fabricated in a compact 28-nm CMOS process, the IC features a 32 x 32 array with 1024 channels, achieving high energy efficiency and low noise levels, making it suitable for integration with high-density microelectrode arrays.