Cinematica

De una partícula se defines como la magnitud de su velocidad. La rapidez no tiene dirección asociada y, en consecuencia, no lleva signo algebraico. Por ejemplo, si una partícula tiene una velocidad de +25 m/s y otra partícula tiene la velocidad de -25m/s, las dos tiene una rapidez de 25m/s. El velocímetro de un automóvil indica la rapidez, no la velocidad.

Revisión de mru y mruv. El movimiento rectilíneo uniforme (mru) es un movimiento que se realiza con velocidad constante, y la ecuación que permite representar ese movimiento es CAPÍTULO 1: : :

En cinemática lo que hacemos es ver cómo se mueve un cuerpo. Ese cuerpo puede ser un coche, un pájaro, una nube, una galaxia, lo que sea. Ver cómo se mueve un objeto significa para la física saber dónde está, qué velocidad tiene, y si esta velocidad cambia o es todo el tiempo la misma. Posición, velocidad y aceleración son tres conceptos que tenés que conocer bien porque se usan todo el tiempo y son la base de un montón de otras cosas que vienen después. Fijate bien:

Cinemática y dinámica del Cuerpo Rígido (no se incluye el movimiento de precesión y el del giróscopo)

Asian Journal of Agrricultural Extension,Economics and Sociology, 2024

This article has a three-fold objective. On the one hand, it checks purchasing power and its extension into forms of exploitation. In a second approach, he studies, analyzes and gives the mathematical expression of win-win-win papakonstantinidis model In the third and decisive approach it refers back historically to the self-organization which the author submits as a proposal

Marco V. García Quintela, Étienne Helmer, Arnaud Macé, Noémie Villacèque (eds.), Les lieux de savoir dans l'Athènes démocratique (Dialogues d'histoire ancienne, Suppl. 27), Besançon, 2023, 2023

How is knowledge about the gods and their cults transmitted to the population and the cult personnel in the sanctuaries of classical Athens? This chapter will explore different possible answers to this question, and will analyse the transmission of knowledge through poetic performances and iconography, the participation of Athenians in cults from a very young age, the role of ritual norms, the oral transmission of ritual knowledge from one generation to the next, as well as the role of religious experts.

PeerJ, 2019

The southeastern region of the United States exhibits an unusual trend of decreasing tree species richness (TSR) from higher to lower latitudes over the Florida peninsula. This trend contradicts the widely marked latitudinal diversity gradient where species richness is highest in tropical zones and decreases towards extratropical regions. This study aims to assess the environmental factors that prompt this atypical inverse latitudinal gradient seen in TSR using the USDA Forest Service's Forest Inventory and Analysis (FIA) database. Fifteen variables under four categories of forested area, groundwater, soil properties, and climate groups were examined to model TSR in the region. Generalized linear models (GLMs) with Poisson distributions first assessed individual variables to test explanatory power then the LASSO regularization method was utilized to extract two subsets of the most influential variables to predict TSR. Forest area and four climate variables (mean annual temperature, precipitation seasonality, mean temperature of coldest quarter, and mean precipitation of driest quarter) were the top five variables during the initial GLM assessment implying their potential individual influence in regulating TSR. Two subsets of LASSO models contained seven and three predictor variables, respectively. Frist subset includes seven predictors, presented in highest to low standardized coefficient, mean temperature of coldest quarter, forested area, precipitation seasonality, mean precipitation of driest quarter, water table depth, spodosol, and available water storage. The other subset further excluded four lowest influential variables from the first set, leaving the top three variables from the first subset. The first subset of the LASSO model predicted TSR with 63.4% explained deviance while the second subset reproduced 60.2% of deviance explained. With only three variables used, the second model outperformed the first model evaluated by the AIC value. We conclude that forest patch area, mean temperature of coldest quarter, and precipitation seasonality are the highly influential variables of TSR among environmental factors in the southeastern region of U.S., but evolutionary or historic cause should be further incorporated to fully understand tree species diversity pattern in this region.