Computational Framework For Neuro-Optics Simulation And Deep Learning Denoising

The application of machine learning techniques in microscopic image restoration has shown superior performance. However, the development of such techniques has been hindered by the demand for large datasets and the lack of ground truth. To address these challenges, this study introduces a computer simulation model that accurately captures the neural anatomic volume, fluorescence light transportation within the tissue volume, and the photon collection process of microscopic imaging sensors. The primary goal of this simulation is to generate realistic image data for training and validating machine learning models. One notable aspect of this study is the incorporation of a machine learning denoiser into the simulation, which accelerates the computational efficiency of the entire process. By reducing noise levels in the generated images, the denoiser significantly enhances the simulation\u27s performance, allowing for faster and more accurate modeling and analysis of microscopy images. This approach addresses the limitations of data availability and ground truth annotation, offering a practical and efficient solution for microscopic image restoration. The integration of a machine learning denoiser within the simulation significantly accelerates the overall simulation process, while improving the quality of the generated images. This advancement opens new possibilities for training and validating machine learning models in microscopic image restoration, overcoming the challenges of large datasets and the lack of ground truth

Las relaciones entre la mente, el territorio y la sociedad desde una perspectiva medio ambiental

In my view, there are four important aspects to EBS. 1. It needs to be seen as a scientific discipline dealing with EBS. It is highly interdisciplinary, involving many relevant disciplines. 2. Design involves the application of the latest and best established research findings. 3. To become a discipline, EBS must concentrate on building explanatory theory. 4. While an important function of theory is to provide unification and synthesis, conceptual unification, synthesis, conceptual development and generalization are also needed to begin to develop theory.Desde mi punto de vista, existen cuatro aspectos EBS (Environmental Behavioral Sciences) fundamentales en las ciencias que analizan las relaciones entre comportamiento y medio construido, o sea, en la relación entre la conducta y el lugar construido: 1. Es necesario considerarla como una disciplina científica, altamente interdisciplinar, por otro lado. 2. Proyectar estas relaciones (to design) exige conocer y aplicar los últimos y mejor consolidados resultados de esta disciplina. 3. Para llegar a ser una disciplina, las EBS deben explicar y teorizar sobre la construcción de espacios y de su impacto en el comportamiento social. 4. Aunque una función esencial de cualquier teoría sea unificar y sintetizar, también es preciso un desarrollo conceptual y una progresiva generalización cuando se empieza a construir una teoría nueva.Peer Reviewe

Examining Neural Reactivity to Gambling Cues in the Age of Online Betting

The goal of this review is to provide new insights as to how and why functional magnetic resonance imaging (fMRI) research on gambling cue reactivity can contribute to significant progress towards the understanding of gambling disorder. After having offered a detailed description of experimental paradigms and a comprehensive summary of findings related to gambling cue reactivity, the present review suggests methodological avenues for future research. The fMRI literature on problem gambling has identified the main neural pathways associated with reactivity to gambling cues. Yet, the current knowledge on the key factors underlying cue reactivity in gambling is still very incomplete. Here, we suggest that the recent expansion of online sports betting calls for a new line of research offering a fine-grained and up-to-date approach of neural cue reactivity in gambling disorder. Experimental designs that investigate individual-specific and study-specific factors related to sports betting have the potential to foster progress towards efficient treatment and prevention of gambling disorder