Information-theoretic approaches to atoms-in-molecules : Hirshfeld family of partitioning schemes

Many population analysis methods are based on the precept that molecules should be built from fragments (typically atoms) that maximally resemble the isolated fragment. The resulting molecular building blocks are intuitive (because they maximally resemble well-understood systems) and transferable (because if two molecular fragments both resemble an isolated fragment, they necessarily resemble each other). Information theory is one way to measure the deviation between molecular fragments and their isolated counterparts, and it is a way that lends itself to interpretation. For example, one can analyze the relative importance of electron transfer and polarization of the fragments. We present key features, advantages, and disadvantages of the information-theoretic approach. We also codify existing information-theoretic partitioning methods in a way, that clarifies the enormous freedom one has within the information-theoretic ansatz

RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion

Point clouds are a 3D space representation of an environment that was recorded with a high precision laser scanner. These scanners can suffer from environmental interference such as surface shading, texturing, and reflections. Because of this, point clouds may be contaminated with fake or incorrect colors. Current open source or proprietary tools offer limited or no access to correcting these visual errors automatically. RecolorCloud is a tool developed to resolve these color conflicts by utilizing automated color recoloring. We offer the ability to deleting or recoloring outlier points automatically with users only needing to specify bounding box regions to effect colors. Results show a vast improvement of the photo-realistic quality of large point clouds. Additionally, users can quickly recolor a point cloud with set semantic segmentation colors.Comment: 6 Pages, 9 figures, 1 table, To be submitted to the ACM MMSys 2024 Conferenc

Aplications of Neural Networks to Find the Impact of Water in Different Berry Components in Grapes

Grape juice composition during the different stages of berry growth was compared. The analytical data collected were used to investigate the relationships between some of the different components studied in these berries during the ripening period. Our goal is to study, with neural networks, the impact of water availability on Vitis vinifera L. cv. Tempranillo grape yields and juice composition over a three-year period

Las disponibilidades de tiempo en la construcción de las normas temporales del trabajo

Introducción Las transformaciones contemporáneas del tiempo de trabajo se aprecian tomando como punto de referencia la norma temporal fordista que se consolidó, en el contexto industrial, como una combinación compleja entre formas de estabilización de la mano de obra, formas de delimitación del espacio y del tiempo de trabajo y formas de racionalización tayloriana de la producción. En ese contexto, el tiempo de trabajo estaba estrictamente medido y delimitado. De esta manera Pierre Naville (1..

As disponibilidades de tempo na construção de normas temporais de trabalho

Introdução As transformações contemporâneas do tempo de trabalho avaliam-se tomando como ponto de referência a norma temporal fordista que se consolidou, no contexto industrial, como uma combinação complexa entre formas de estabilização da mão-deobra, de delimitação do espaço e tempo de trabalho e de uma racionalização tayloriana da produção. Neste contexto, o tempo de trabalho era estritamente medido e delimitado. Desta maneira Pierre Naville (1972) sublinhava a importância chave da dimensão..