Nutrition-Related considerations for health and performance in female Volleyball: A narrative review

Although Volleyball is one of the most widely played sports in the World, there is little scientific information on how the ergo nutritional practice of female players should be designed. Therefore, the main aim of this narrative review is to resolute concise nutritional recommendations for volleyball women who players. Research databases such as PubMed, Scielo, Scopus, Medline or Academic Search Complete summarize and synthesize the recent evidence on the role of nutrition and its relationship with health and performance in this sporting discipline. Based on a literature review, we highlight that the individual adjustment of the energy value of the diet is one of the key factors for the physical performance of female volleyball players. An adequate intake of macronutrients allows for the achievement of correct energy values. To improve training adaptation, between 1.6 and 2.2 g·(kg·day)-1 of protein should be consumed. For optimal pre-competition muscle glycogen storage, 6-10 g·(kg·day)-1 of carbohydrates should be consumed, and 7- 10 g·(kg·day)-1 of carbohydrates should be consumed for adequate recovery. Micronutrients should be consumed in amounts corresponding to the recommended dietary allowances. Women volleyball players should take particular attention to the most adequate intake of these micronutrients, as well as vitamins such as iron, calcium, and vitamin D. Proper fluid intake, according to the player's needs, is crucial to maximize exercise performance. The diet of a female athlete is often characterized by low energy values, which increases the risk of various health consequences related to low energy availability. This diet of volleyball players must therefore be controlled carefully

Uso de algoritmos genéticos para resolver el modelo determinista y estocástico para el diseño de una red de recogida de residuos

Unos de los problemas que aparecen en la gestión de las cadenas de suministro inversas es el de las decisiones relativas a la localización de plantas de tratamiento, centros de recogida y de transferencia. En esta comunicación se presentan un modelo determinista MIP y el modelo estocástico derivado para ayudar a la decisión relativa a la localización de una planta de tratamiento y los centros de transferencias necesarios para reducir los costes totales de funcionamiento de un sistema de recogida de residuos. Estos modelos se intentan resolver de forma exacta con CPLEX 10.0 y dada la dificultad se plantea un enfoque distinto utilizando algoritmos genéticos y programación lineal continua

A conceptual model for integrating strategic supply management into the supply chain

In this paper, a strategic supply management reference model for supplier integration in the supply chain is presented. The model developed is based on the comparative case study of two relevant industries – automotive and aircraft – and may be suitable for other industries. The survey and the subsequent analysis of these industries have confirmed the strategic importance of supplies and the need for an integrated approach of supply management, both in terms of internal processes and of external suppliers. Additionally, the study has proved that there is not a unique model for supply management, valid for all industries

Características de la secuenciación de los automóviles en las plantas de los fabricantes localizados en España

El sector de la automoción es de gran importancia en España, tanto por el volumen de actividad que representa como por el hecho de que constituye un sector de referencia para muchos otros. Los fabricantes de automóviles localizados en España se enfrentan a diferentes retos, algunos de los cuales están relacionados con la eficacia y la eficiencia de sus procesos de producción. En este sentido, la secuenciación de los modelos que se producen en las líneas de montaje es uno de los factores relevantes. Se trata de un problema que se debe resolver con frecuencia y de cuyo resultado depende la productividad de la planta. En este trabajo se presentan los resultados de un estudio en el que se caracteriza la forma en la que realizan la secuenciación los fabricantes españole

Comparison of Sports Performance and Kinanthropometric Profiles of Elite Female Basketball and Volleyball Players over the Course of a Competitive Season

In order to maximize sports performance of team sportswomen, knowledge of the player’s characteristics in terms of different aspects and at different times of the season is needed. While the anthropometric and physical characteristics of men’s sports teams have been extensively studied, research on women’s basketball and volleyball is scarce. (1) Purpose: This study aims to contribute data about the anthropometric and physical characteristics of female basketball and volleyball players from elite women’s teams (age: 24.3 ± 2.7 years; playing experience: 14.825 ± 2.8 years) (n = 23) with a two-fold objective: (1) to describe and compare the anthropometric characteristics of these two disciplines; and (2) to identify possible differences in various parameters of sports performance depending on the discipline. (2) Methods: The anthropometric profile includes the measurements recommended by the International Society for the Advancement of Kinanthropometry; the performance tests described aerobic and anaerobic power exercises. (3) Results: The overall somatotype of the players was moderate mesomorphic and low endomorphic (5.107–3.046–1.883). Statistical differences were found between the improvement of the physical performance level of female basketball players (77%) and female volleyball players (10%) from the first to the last measurement, with better results in most of the performance tests (p 0.05). The percentage of fat-free mass correlated with improvements in lower body strength. (4) Conclusion: Lean body mass is an important predictor of exercise performance intensity. Excess fat mass is detrimental to the development of strength and endurance

Retos de la educación a través de las nuevas tecnologías

El gran desafío actual es cómo diseñar o rediseñar los entornos de aprendizaje para que sean ecientes y atractivos y, lo más importante, para que permitan que los canales de comunicación tecnológicos se conviertan en aprendizaje

Red Eléctrica de España uses integer programming for annual salary revisions

In this paper, we present a mixed-integer linear programming model for determining salary-revision matrices for an organization based on that organization?s general strategies. The solution obtained from this model consists of salary increases for each employee; these increases consider the employee?s professional performance, salary level relative to peers within the organization, and professional group. In addition to budget constraints, we modeled other elements typical of compensation systems, such as equity and justice. Red Eléctrica de España (REE), the transmission agent and operator of the Spanish electricity system, used the model to revise its 2010 and 2011 salary policies, and achieved results that were aligned with the company strategy. REE incorporated the model into the salary management module within its information system, and plans to continue to use the model in revisions of the module

Study of NIT domain-containing chemoreceptors from two global phytopathogens and identification of NIT domains in eukaryotes

Bacterial signal transduction systems are typically activated by the binding of signal molecules to receptor ligand binding domains (LBDs), such as the NIT LBD. We report here the identification of the NIT domain in more than 15,000 receptors that were present in 30 bacterial phyla, but also in 19 eukaryotic phyla, expanding its known phylogenetic distribution. The NIT domain formed part of seven receptor families that either control transcription, mediate chemotaxis or regulate second messenger levels. We have produced the NIT domains from chemoreceptors of the bacterial phytopathogens Pectobacterium atrosepticum (PacN) and Pseudomonas savastanoi (PscN) as individual purified proteins. High-throughput ligand screening using compound libraries revealed a specificity for nitrate and nitrite binding. Isothermal titration calorimetry experiments showed that PacN-LBD bound preferentially nitrate ( K D = 1.9 μM), whereas the affinity of PscN-LBD for nitrite ( K D = 2.1 μM) was 22 times higher than that for nitrate. Analytical ultracentrifugation experiments indicated that PscN-LBD is monomeric in the presence and absence of ligands. The R182A mutant of PscN did not bind nitrate or nitrite. This residue is not conserved in the NIT domain of the Pseudomonas aeruginosa chemoreceptor PA4520, which may be related to its failure to bind nitrate/nitrite. The magnitude of P. atrosepticum chemotaxis towards nitrate was significantly greater than that of nitrite and pacN deletion almost abolished responses to both compounds. This study highlights the important role of nitrate and nitrite as signal molecules in life and advances our knowledge on the NIT domain as universal nitrate/nitrite sensor module.Spanish Ministry for Science and Innovation/Agencia Estatal de Investigación 10.13039/501100011033 (grants PID2020-112612GB-I00 to TK, PID2019-103972GA-I00 to MAM and PID2021-122202OB-I00 to AO)Junta de Andalucía (grant P18-FR-1621 to TK

Use a simulation tool for multi-commodity pipeline scheduling

Pipeline transport represents one of the most important means of moving oil derivatives to different locations. It is both a reliable and inexpensive means of transport, and it yields small variable costs along with a great degree of reliability. Pipeline scheduling is not a trivial task; it involves considerable time from schedulers. Discussed here is a real-application case of a tool that helps schedulers simulate pipeline performance as a means of creating a feasible schedule for a particular time span