Power supply characteristics of basketball players at different training intensities / Características do consumo de energia dos jogadores de basquete com diferentes intensidades de treinamento / Características del consumo de energía de los jugadores de baloncesto con diferentes intensidades de entrenamiento

ABSTRACT Introduction: In competitive basketball sports, athletes must repeatedly perform movements of maximum intensity quickly, followed by rest. A training mode called high-intensity interval training (HIIT) has the same characteristics. Objective: Explore basketball players' energy supply characteristics and training changes under different exercise intensities. Methods: The effects of different recovery methods in the intermittent period on exercise capacity and aerobic metabolic energy supply of young male basketball players during high-intensity intermittent interval training (HIIT) were presented. Results: Increased aerobic energy production during HIIT was closely related to the acceleration of kinetics. However, although the time to exhaustion, a parameter characterizing exercise capacity, increased by 3.5% and 4.6%, respectively, in the HIITa group compared to HIITs and HIITp, there was no significant difference. After analyzing each group for the 30s, a gradual increase in strength was noticed. Conclusion: The use of HIIT as training is an important way to improve the physical performance of athletes. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.

RESUMO Introdução: Na competição esportiva do basquete, os atletas precisam realizar repetidamente movimentos de intensidade máxima rapidamente, seguidos de repouso. Há um modo de treinamento chamado de treinamento de intervalo de alta intensidade (HIIT) que possui as mesmas características. Objetivo: Explorar as características de consumo de energia e as mudanças de treinamento dos jogadores de basquetebol sob diferentes intensidades de exercício. Métodos: Foram apresentados os efeitos de diferentes métodos de recuperação em período intermitente sobre a capacidade de exercício e fornecimento de energia metabólica aeróbica de jovens jogadores masculinos de basquetebol durante o treinamento intermitente de alta intensidade (HIIT). Resultados: O aumento da produção de energia aeróbica durante o HIIT foi estreitamente relacionado com a aceleração da cinética. Entretanto, embora o tempo de exaustão, parâmetro que caracteriza a capacidade de exercício, tenha aumentado em 3,5% e 4,6% respectivamente no grupo de HIITa em comparação com HIITs e HIITp, não houve diferença significativa. Depois de analisar cada grupo durante 30s, percebeu-se um aumento gradual da força. Conclusão: O uso do HIIT como treinamento demonstrou-se um meio importante para melhorar o desempenho físico dos atletas. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción: En los deportes de baloncesto de competición, los atletas necesitan realizar repetidamente movimientos de máxima intensidad de forma rápida, seguidos de descanso. Existe una modalidad de entrenamiento llamada entrenamiento por intervalos de alta intensidad (HIIT) que tiene las mismas características. Objetivo: Explorar las características del suministro de energía y los cambios en el entrenamiento de los jugadores de baloncesto bajo diferentes intensidades de ejercicio. Métodos: Se presentaron los efectos de diferentes métodos de recuperación en período intermitente sobre la capacidad de ejercicio y el suministro de energía metabólica aeróbica de jóvenes jugadores de baloncesto durante el entrenamiento de intervalos intermitentes de alta intensidad (HIIT). Resultados: El aumento de la producción de energía aeróbica durante el HIIT estaba estrechamente relacionado con la aceleración de la cinética. Sin embargo, aunque el tiempo hasta el agotamiento, un parámetro que caracteriza la capacidad de ejercicio, aumentó un 3,5% y un 4,6% respectivamente en el grupo HIITa en comparación con los HIIT y HIITp, no hubo diferencias significativas. Tras analizar cada grupo durante 30 segundos, se percibió un aumento gradual de la fuerza. Conclusión: El uso del HIIT como entrenamiento ha demostrado ser una forma importante de mejorar el rendimiento físico de los atletas. Nivel de evidencia II;Estudios terapéuticos - investigación de los resultados del tratamiento.

Effects of exercise on human energy metabolism in high temperature and high humidity environment / Efeitos do exercício sobre o metabolismo energético humano em ambientes de alta temperatura e umidade / Efectos del ejercicio sobre el metabolismo energético humano en ambientes de alta temperatura y humedad

ABSTRACT Introduction Many exercise enthusiasts have started participating in sports in the high-temperature environment in recent years due to the increasing popularity of these sports habits. However, their scientific studies still have a gap in their safety and effectiveness. Objective Measure the energy supply characteristics of fat and sugar oxidation during exercise in different high-temperature and humidity environments. Methods 20 healthy adult subjects were exposed to fixed-intensity exercise for 20 minutes at 30-33 oC, 20% relative humidity (RH), and 50% RH, respectively. Results Under the silent exposure condition, compared with RH 20% and RH 50% under high temperature, sugar oxidation was significantly increased (P<0.01), while fat oxidation was significantly reduced (P<0.01), and total energy consumption was significantly increased (P<0.01). Under the condition of 65% VO2 max exercise, compared with RH 20% and RH 50% at high temperatures, the amount of sugar oxidation was significantly reduced (P<0.05), and the total energy consumption was significantly reduced (P<0.05). Conclusion Under 65% exercise under VO2 max in the high temperature and humidity-controlled environment, the high temperature and medium humidity (RH 50%) environment consumes more energy, and there is a greater amount of sugar oxidation. Level of evidence II; Therapeutic studies - investigating treatment outcomes.

RESUMO Introdução Muitos entusiastas do exercício físico começaram a participar de esportes no ambiente de altas temperaturas nos últimos anos devido a crescente popularidade desses hábitos esportivos, embora seus estudos científicos ainda apresentem uma lacuna sobre sua segurança e efetividade. Objetivo Comparar as características do fornecimento de energia de oxidação de gordura e açúcar durante o exercício em ambientes de alta temperatura e umidade diferentes. Métodos Um total de 20 sujeitos adultos saudáveis foram expostos a exercícios de intensidade fixa durante 20 minutos a 30-33 oC, 20% de umidade relativa (RH) e 50% de RH, respectivamente. Resultados Sob a condição de exposição silenciosa, comparado com RH 20% e RH 50% sob alta temperatura, a oxidação do açúcar foi significativamente aumentada (P<0,01), enquanto a oxidação da gordura foi significativamente reduzida (P<0,01), e o consumo total de energia foi significativamente incrementado (P<0,01). Sob a condição de 65% de exercício de VO2max, comparado com RH 20% e RH 50% a altas temperaturas, a quantidade de oxidação do açúcar foi significativamente reduzida (P<0,05), e o consumo total de energia foi significativamente reduzido (P<0,05). Conclusão Sob a condição de 65% de exercício sob VO2max, no ambiente de alta temperatura e umidade controlados, o ambiente de alta temperatura e umidade média (RH 50%) consome mais energia, havendo uma maior quantidade de oxidação de açúcar. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción En los últimos años, muchos aficionados al ejercicio han comenzado a practicar deportes en el entorno de altas temperaturas debido a la creciente popularidad de estos hábitos deportivos, aunque sus estudios científicos aún presentan lagunas sobre su seguridad y eficacia. Objetivo Comparar las características de suministro energético de la oxidación de grasas y azúcares durante el ejercicio en diferentes entornos de alta temperatura y humedad. Métodos Un total de 20 sujetos adultos sanos fueron expuestos a ejercicio de intensidad fija durante 20 minutos a 30-33 oC, 20% de humedad relativa (HR) y 50% de HR, respectivamente. Resultados Bajo la condición de exposición silenciosa, en comparación con RH 20% y RH 50% bajo alta temperatura, la oxidación de azúcar se incrementó significativamente (P<0.01), mientras que la oxidación de grasa se redujo significativamente (P<0.01), y el consumo total de energía se incrementó significativamente (P<0.01). Bajo la condición de ejercicio VO2max 65%, en comparación con RH 20% y RH 50% a alta temperatura, la cantidad de oxidación de azúcar se redujo significativamente (P<0,05), y el consumo total de energía se redujo significativamente (P<0,05). Conclusión Bajo la condición de 65% de ejercicio bajo VO2max en el ambiente controlado de alta temperatura y humedad, el ambiente de alta temperatura y humedad media (RH50%) consume más energía y hay una mayor cantidad de oxidación de azúcar. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Investigation of tactile gait parameters based on deep learning of energy consumption estimation algorithm in sport / Investigação sobre parâmetros tácteis de marcha baseados no aprendizado profundo do algoritmo de estimativa de consumo energético no esporte / Investigación sobre los parámetros táctiles de marcha basados en el aprendizaje profundo del algoritmo de estimación del consumo de energía en el deporte

ABSTRACT Introduction In medicine, Deep Learning is a type of machine learning that aims to train computers to perform human tasks by simulating the human brain. Gait recognition and gait motion simulation is one of the most interesting research areas in the field of biometrics and can benefit from this technological feature. Objective To use Deep Learning to format and validate according to the dynamic characteristics of gait. Methods Gait was used for identity recognition, and gait recognition based on kinematics and dynamic gait parameters was performed through pattern recognition, including the position and the intensity value of maximum pressure points, pressure center point, and pressure ratio. Results The investigation shows that the energy consumption of gait as modeled analyzed, and the model of gait energy consumption can be obtained, which is comprehensively affected by motion parameters and individual feature parameters. Conclusion Real-time energy measurement is obtained when most people walk. The research shows that the gait frequency and body parameters obtained from the tactile parameters of gait biomechanics can more accurately estimate the energy metabolism of exercise and obtain the metabolic formula of exercise. There is a good application prospect for assessing energy metabolism through the tactile parameters of gait. Level of evidence II; Therapeutic studies - investigating treatment outcomes.

RESUMO Introdução Na medicina, o aprendizado profundo é um tipo de aprendizado de máquina que visa treinar computadores para a realização de tarefas humanas simulando o cérebro humano. O reconhecimento da marcha e a simulação do movimento de marcha são um dos pontos de maior interesse da investigação no campo da biometria e pode ser beneficiado com esse recurso tecnológico. Objetivo Utilizar o aprendizado profundo para formatar e validar, de acordo com as características dinâmicas da marcha. Métodos A marcha foi utilizada para o reconhecimento da identidade, e o reconhecimento da marcha baseado na cinemática e parâmetros dinâmicos de marcha foi realizado através do reconhecimento de padrões, incluindo a posição e o valor de intensidade dos pontos de pressão máxima, ponto central de pressão e relação de pressão. Resultados A investigação mostra que o consumo de energia da marcha como modelado analisado, e o modelo de consumo de energia da marcha pode ser obtido, o qual é afetado de forma abrangente pelos parâmetros de movimento e pelos parâmetros de características individuais. Conclusão A medição de energia em tempo real é obtida quando a maioria das pessoas caminha. A investigação mostra que a frequência da marcha e os parâmetros corporais obtidos a partir dos parâmetros tácteis da biomecânica da marcha podem estimar com maior precisão o metabolismo energético do exercício e obter a fórmula metabólica do exercício. Há uma boa perspectiva de aplicação para avaliar o metabolismo energético através dos parâmetros tácteis da marcha. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.

RESUMEN Introducción En medicina, el aprendizaje profundo es un tipo de aprendizaje que pretende entrenar a los ordenadores para que realicen tareas humanas simulando el cerebro humano. El reconocimiento de la marcha y la simulación de su movimiento es uno de los puntos más interesantes de la investigación en el campo de la biometría y puede beneficiarse de este recurso tecnológico. Objetivo Utilizar el aprendizaje profundo para formatear y validar según las características dinámicas de la marcha. Métodos Se utilizó la marcha para el reconocimiento de la identidad, y el reconocimiento de la marcha basado en la cinemática y los parámetros dinámicos de la marcha se realizó mediante el reconocimiento de patrones, incluyendo la posición y el valor de la intensidad de los puntos de presión máxima, el punto de presión central y la relación de presión. Resultados La investigación muestra que el consumo de energía de la marcha, tal y como se analizó, y el modelo de consumo de energía de la marcha se puede obtener, que es ampliamente afectado por los parámetros de movimiento y los parámetros de las características individuales. Conclusión La medición de la energía en tiempo real se obtiene cuando la mayoría de la gente camina. La investigación muestra que la frecuencia de la marcha y los parámetros corporales obtenidos a partir de los parámetros táctiles de la biomecánica de la marcha pueden estimar con mayor precisión el metabolismo energético del ejercicio y obtener la fórmula metabólica del mismo. Existe una buena perspectiva de aplicación para evaluar el metabolismo energético a través de los parámetros táctiles de la marcha. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

Clinical evaluation of malnutrition in maintenance hemodialysis patients / 国际生物医学工程杂志

Objective:To study the evaluation method of protein energy wasting (PEW) in maintenance hemodialysis patients.Methods:A total of 166 maintenance hemodialysis patients were selected. Their medical records, physical indicators, as well as NS2002, PG-SGA, and MUST nutrition scale scores were also collected. The patients were divided into PEW and non-PEW groups according to whether PEW occurred or not, and the differences in each index between the two groups were compared to analyze the diagnostic efficacy of each index and nutrition score scale results on the occurrence of PEW.Results:The differences in body mass, body mass index(BMI), body surface area, abdominal circumference, triceps skinfold thickness, upper arm circumference, and calf circumference between the PEW and non-PEW groups were statistically significant(all P<0.05). The diagnostic efficacy of a single physical index or nutrition score for PEW was limited. A simplified formula for the PEW risk was obtained by logistic model analysis. The formula had a sensitivity of 67.7% and a specificity of 94.4% for the diagnosis of PEW, as analyzed by the subject's working characteristic curve. Conclusions:Four indicators, including abdominal circumference, primary hand grip strength, BMI, and upper arm circumference, can be combined to comprehensively assess the presence of PEW to improve the diagnostic efficacy of the occurrence of malnutrition in maintenance hemodialysis patients.

Numerical Simulation of a Physiological Mathematical Model of Energy Consumption in a Sarcomere / Simulación Numérica de un Modelo Matemático Fisiológico de Consumo de Energía en un Sarcómero

ABSTRACT The paradigm of biological systems provides a framework to quantify the behavior of biological processes. Mathematical modeling is one of the analytical tools of biological systems used to reproduce the variables of a system for prediction. This article presents the analysis of muscular contraction, the physiological process responsible of generating force in skeletal muscle, from the point of view of mathematical modeling. The aim is to provide numerical evidences about the force generated by the sarcomere, and the energy required to produce such a force. The proposed scheme includes a model to activate the contractile cycle, based on the action potential that reaches the neuromuscular junction, the calcium release into the sarcoplasm, the contraction response, and the quantification of the energy that the sarcomere requires to perform mechanical work. The results shows that the proposed scheme is acceptable because it reproduces experimental data of force, velocity, and energy reported in the literature. The results of the proposed scheme are encouraging to scale the model at the muscle or muscle group level, in such a way that the quantification of energy can be an alternative to the indirect estimation methods of energy consumption that currently exist.

Molecular mechanism of Gegen Qinlian Decoction in promoting differentiation of brown adipose tissue to improve glucose and lipid metabolism disorders in diabetic rats / 中国中药杂志

This study explored the molecular mechanism underlying the Gegen Qinlian Decoction(GQD) promoting the differentiation of brown adipose tissue(BAT) to improve glucose and lipid metabolism disorders in diabetic rats. After the hypoglycemic effect of GQD on diabetic rats induced by high-fat diet combined with a low dose of streptozotocin was confirmed, the total RNA of rat BAT around scapula was extracted. Nuclear transcription genes Prdm16, Pparγc1α, Pparα, Pparγ and Sirt1, BAT marker genes Ucp1, Cidea and Dio2, energy expenditure gene Ampkα2 as well as BAT secretion factors Adpn, Fndc5, Angptl8, IL-6 and Rbp4 were detected by qPCR, then were analyzed by IPA software. Afterward, the total protein from rat BAT was extracted, and PRDM16, PGC1α, PPARγ, PPARα, SIRT1, ChREBP, AMPKα, UCP1, ADPN, NRG4, GLUT1 and GLUT4 were detected by Western blot. The mRNA expression levels of Pparγc1α, Pparα, Pparγ, Ucp1, Cidea, Ampkα2, Dio2, Fndc5, Rbp4 and Angptl8 were significantly increased(P<0.05) and those of Adpn and IL-6 were significantly decreased(P<0.05) in the GQD group compared with the diabetic group. In addition, Sirt1 showed a downward trend(P=0.104), whereas Prdm16 tended to be up-regulated(P=0.182) in the GQD group. IPA canonical pathway analysis and diseases-and-functions analysis suggested that GQD activated PPARα/RXRα and SIRT1 signaling pathways to promote the differentiation of BAT and reduce the excessive lipid accumulation. Moreover, the protein expression levels of PRDM16, PGC1α, PPARα, PPARγ, SIRT1, ChREBP, AMPKα, UCP1, GLUT1, GLUT4 and NRG4 were significantly decreased in the diabetic group(P<0.01), which were elevated after GQD intervention(P<0.05). Unexpectedly, the expression of ADPN protein in the diabetic group was up-regulated(P<0.01) as compared with the control group, which was down-regulated after the administration with GQD(P<0.01). This study indicated that GQD promoted BAT differentiation and maturity to increase energy consumption, which reduced the glucose and lipid metabolism disorders and thereby improved diabetes symptoms.

Official matches and training sessions: physiological demands of elite junior badminton players

Abstract Aim: To evaluate the intensity of training and official badminton matches (international championship) in junior elite players. Methods: Twelve elite players from the Brazilian junior national team (6 male and 6 female) were monitored during 19 training sessions and 50 official men's and women's single and double matches in the XXVII Pan-American Junior Games. Subjects underwent an incremental running step test to determine maximal oxygen uptake (VO2max), and an individual relationship between heart rate (HR) and VO2max was established to estimate exercise intensity and oxygen uptake at official matches (OMs) and training sessions. HR was monitored during multi-shuttlecock (MS), technical-tactical (TT), and physical (PS) training methods, as well as during simulated matches (SMs) and OMs. Variables such as %HRmax, HR zones, %VO2max, and energy expenditure were also calculated. Results: OM was the most intense activity monitored for male and female athletes, followed by SM according to %HRmax (86.8 ± 4.1% and 84.4 ± 5.0% for female and male, respectively, in OM vs. 74.6 ± 2.3% and 75.0 ± 5.0% for female and male, respectively, in SM). OM mean energy expenditure was 10.7 ± 0.5 kcal.min-1 for females and 14.9 ± 4.6 kcal.min−1 for males. Conclusion: MS training has less physiological demand and OM presented higher intensity. SM, on the other hand, had the closest physiological demand to an OM.

Contribución de los alimentos a la ingesta total de energía en la dieta de los mexicanos mayores de cinco años / Food contribution to total daily energy intake in the Mexican population older than five years

Resumen: Objetivo: Identificar la contribución a la ingesta de energía (CIE) de alimentos consumidos en mayores de cinco años y por características sociodemográficas, en la población mexicana. Material y métodos: Se analizó información del recordatorio de 24 horas de 7 983 sujetos ≥5 años incluidos en la Encuesta Nacional de Salud y Nutrición 2012 (Ensanut 2012). Se estimó la CIE de 50 alimentos clasificados en ocho grupos de alimentos en el ámbito nacional, estratificando por edad, área de residencia, región y nivel socioeconómico. Resultados: Siete alimentos contribuyeron con 50% de la ingesta energética total: tortilla y productos de maíz (20.6%), pan dulce (6.6%), aceites vegetales (4.9%), pan blanco y derivados de trigo (4.9%), bebidas azucaradas carbonatadas (4.6%), carnes rojas (4.0%) y leche entera (4.0%). Otros alimentos, cuyo consumo es recomendable aumentar por sus efectos positivos en salud, mostraron contribuciones menores a 1.0%, con excepción del frijol (3.3%). Se observó gran heterogeneidad en el consumo entre subgrupos de población. Conclusión: La identificación de los alimentos individuales y su CIE, tanto en grupos de alimentos cuyo consumo se recomienda aumentar, como en aquéllos que se recomienda reducir, puede ser de utilidad para el diseño de acciones regulatorias y estrategias educativas dirigidas a disminuir la carga de enfermedad relacionada con la dieta.

Abstract: Objetive: To identifiy the energy contribution (EC) of the food consumed in those older than five years and by sociodemographic characteristics in Mexican population. Materials and methods: We analyzed data from 24-hour recalls from 7 983 subjects ≥5 years included in the Encuesta Nacional de Salud y Nutrición2012 (Ensanut 2012). The EC to total daily energy intake of 50 foods allocated to eight food groups at national level and stratified by age, area of residence, region and socioeconomic level was estimated. Results: Seven foods contributed 50% of total energy intake: tortilla and corn products (20.6%), sweet bread (6.6%), vegetable oils (4.9%), white bread and wheat products (4.9%), carbonated sugary drinks (4.6%), red meat (4.0%) and whole milk (4.0%). Other foods, which its consumption is recommended to increase due to its positive effects on health, showed minor contributions (less than 1.0%), with the exception of beans (3.3%). Great heterogeneity in intakes was observed between subgroups of the population. Conclusions: The identification of individual foods and their EC for both, food groups whose consumption should be increased as well as those that should be reduced can be useful for the design of regulatory actions and educational strategies aimed at reducing the diet related burden of disease.

Survey Electrocoagulation Process in Removal of Norfloxacin Antibiotic from Aqueous Solutions

Pharmaceutical compounds have been recognized as a hazardous class of organic pollutants due to their long term effects towards the aquatic environment. The present work studies the efficiency of electrogalation (EC) process in removal Norfloxacin (NFX) from aqueous solutions by aluminum electrodes. This study experimentally was run in a batch electrochemical reactor (1.5 L glass beaker)and six electrodes which installed in parallel. In each of test, 1 L of wastewater added tothetest reactor, then effect of four parameters including the voltage 10-60 V (current density: 1,2,3 and 4 mA/cm2), reaction time (5-60 min) initial concentration of NFXand the pH of wastewater (pH=3-9) on process performance were investigated. Results of this study showed that the efficiency of the system could be promoted by increasing the contact time, initial pH of the solution, and the applied voltage. However, the efficiency of EC process has decreased, when higher level of NFX ions was presented in the aqueous phase.The optimal conditions for Norfloxacin removal were: pH 7, initial NFX concentration 25 mg/L, voltage 60 V and reaction time 45 min and the highest removal rate was under these conditions 98.4%. The results of this study indicate that EC process could be applied for the removal of NFX from aqueous solution with a high efficiency

High-sugar diet leads to obesity and metabolic diseases in ad libitum -fed rats irrespective of caloric intake

ABSTRACT Objective Provide a comprehensive view of the events surrounding the sugar consumption, under conditions of energy equivalence; through the analysis of behavioral aspects of intake, and of biochemical, metabolic and physiological parameters, as well as the effect of this nutrient on the plasticity of adipose tissue. Materials and methods Newly weaned male Wistar rats were classified in two groups and subjected to the following normocaloric diets: standard chow diet or to high-sugar diet (HSD) ad libitum for 18 weeks. Results The animals submitted to the HSD were associated with a lower caloric intake during the 18 weeks of experimentation. However, the HSD induced a significant increase in body weight, white adipose tissue weight, adiposity index, Lee index, and the levels of triglycerides and very low-density lipoprotein in the serum. In addition, it induced glucose intolerance, insulin resistance and compensatory increase of insulin secretion by pancreatic β-cells. Also increased heart rate and induced hyperplasia, and hypertrophy of retroperitoneal visceral adipose tissue. In the liver, the HSD was associated with increased hepatic lipid content (i.e., triglycerides and cholesterol) and hepatomegaly. Conclusion The post-weaning consumption of HSD induces an adaptive response in metabolism; however, such an event is not enough to reverse the homeostatic imbalance triggered by the chronic consumption of this macronutrient, leading to the development of metabolic syndrome, irrespective of caloric intake. These findings corroborate recent evidence indicating that sugar is a direct contributor to metabolic diseases independent of a positive energy balance. Arch Endocrinol Metab. 2020;64(1):71-81

Fuzzy modeling of volumetric efficiency and specific energy consumption in agricultural screw conveyors / Modelagem fuzzy de eficiência volumétrica e consumo específico de energia em transportadores agrícolas de parafuso

ABSTRACT: Vertical screw conveyors have low energy efficiency but this is generally acceptable within the normally low power range. Previously, a fuzzy logic approach was used to model volumetric efficiency and specific energy consumption in screw conveyors. The performance of conveyors in different working conditions and the geometry of the screw were studied. It was reported that increasing the screw speed, pitch, and loading angle also increases specific energy consumption. In this study, an intelligent fuzzy model based on the Mamdani approach was developed to predict volumetric efficiency and specific energy consumption. The model inputs included the slope, speed, and pitch of screw conveyors. The fuzzy model consists of 27 rules in which three parameters, namely the goodness of fit (η), relative error (ε), and coefficient of correlation (R), are used to evaluate the model. The goodness of fit, relative error, and coefficient of correlation values were 0.986, 5.28%, and 0.99, respectively, for volumetric efficiency and 0.987, 4.93%, and 0.99, respectively, for specific energy consumption. Results revealed that the developed model is capable of predicting volumetric efficiency and specific energy consumption in barley transport under different working conditions with high accuracy.

RESUMO: Os transportadores de parafuso verticais têm baixa eficiência energética, mas isso geralmente é aceitável dentro da faixa de potência normalmente baixa. Anteriormente, uma abordagem lógica fuzzy era usada para modelar a eficiência volumétrica e o consumo específico de energia em transportadores de parafuso. O desempenho dos transportadores em diferentes condições de trabalho e a geometria do parafuso foram estudados. Verificou-se que aumentar a velocidade do parafuso, a inclinação e o ângulo de carga também aumenta o consumo de energia específico. Neste estudo, um modelo fuzzy inteligente baseado na abordagem de Mamdani é desenvolvido para prever a eficiência volumétrica e o consumo específico de energia. As entradas do modelo incluem a inclinação, velocidade e inclinação dos transportadores de parafuso. O modelo fuzzy consiste em 27 regras, nas quais três parâmetros, a saber, qualidade do ajuste (η), erro relativo (ε) e coeficiente de correlação (R), são usados para avaliar o modelo. Os valores de ajuste, erro relativo e coeficiente de correlação são de 0,986, 5,28% e 0,99, respectivamente, para eficiência volumétrica e 0,987, 4,93% e 0,99, respectivamente, para consumo específico de energia. Os resultados revelam que o modelo desenvolvido é capaz de prever eficiência volumétrica e consumo específico de energia no transporte de cevada sob diferentes condições de trabalho com alta precisão.

The Nature of Climate Change- equivalent Climate Change Model’s Application in Decoding the Root Cause of Global Warming

Scrutiny and analysis of various energy applications show that the energy conversion to useful work or new products has been systematically inefficient. The global energy’s total effective conversion efficiency is estimated only about 20% and about 80% of the energy has been discharged into the environment. It is this energy that leads to the unbalance of the climate system’s energy budget balance and causes the global warming. This article presents a simple equivalent climate change model to track the past global warming and to predict the future change trend at the global scale. The model comprises of an equivalent climate change surface air boundary layer, an equivalent climate change land surface boundary layer and an equivalent climate change seawaters surface boundary layer. It produces unique definitive relationships between the temperature changes and the heat entered the air, waters and land. The model can also be used to forecast future non-renewable energy consumption needed to keep the temperature rising under Paris Accord. Analysis of currently available data by using this model confirms that temperature changes in air, seawaters and land closely correlate to the amount of heat discharged into the climate system from human activities. NASA and NOAA’s observations of temperature anomalies for the surface air, sea surface and land surface are well consistent with the temperature changes calculated by this model, especially the calculated results at the depth of 70 meters of the surface air boundary layer and NASA’s Lowess Smoothing trend are very close. Flaring intensifies global warming. Reducing use of fossil fuels, nuclear and geothermal energies, developing surface renewable energies and increasing energy’s total effective conversion efficiency and thus reducing the amount of residual/waste energy are the paths to effectively and efficiently control global warming.

Comparative study of anterior support ankle foot orthosis and posterior ankle foot orthosis in foot drop patients

Background: Anterior Support Ankle Foot Orthosis (A-AFO) is a fairly recent approach. There is dearth of studies relating to comparison of metabolic efficiency of A-AFO and P-AFO. Objective was to study the efficacy of A-AFO compared to P-AFO in foot drop patients, using gait and metabolic analysis.Methods: It was a cross over study, included foot drop patients who could walk with/ without orthosis. Patients having spasticity more than grade 2 (Modified Ashworth Scale) were excluded. The metabolic parameters measured were volume of Oxygen consumed at Standard Temperature and Pressure in l/min (VO2), Dry in l/min, Rate of Oxygen consumption (MET), Volume of Carbon dioxide produced in litre/min (VCO2). Along with various gait parameters, questionnaire about patient’s preference after 4 weeks was also incorporated.Results: A-AFO was significantly better than P-AFO in terms of VO2 and VCO2 (p value = 0.02 and 0.009 respectively) as well as in terms of subjective preference.Conclusions: A-AFO is comparable to P-AFO in terms of energy efficiency, gait parameters and subjective preference, hence should also be prescribed.

Consistency of indirect calorimetry and HB coefficient method for measuring energy expenditure of patients with sepsis / 中华临床营养杂志

Objective@#To evaluate the difference and correlation of 24 h energy expenditure in patients with sepsis by indirect calorimetry (IC) and HB coefficient equation.@*Methods@#A prospective comparative study including 60 patients with sepsis who was suitable for nutritional support and respiratory indirect calorimetry in the intensive care unit (ICU) from January to October 2015 was conducted. Resting energy expenditure (REE) was measured simultaneously by respiratory indirect calorimetry and HB coefficient (Harris-Benedict formula×stress coefficient) in 60 patients with sepsis at 0 day, 3 day, 7 day, and 14 day after nutritional support, and the differences in dynamic REE were compared between the two methods. The consistency of REE by indirect calorimetry (IC) and HB coefficient equation was evaluated by Bland-Altman. The correlation of IC and HB methods was determined by Pearson analysis. The linear regression equation was determined by linear regression analysis.@*Results@#Within 2 weeks after nutritional support, 188 times of measures by IC method and HB method respectively were finished in all patients with sepsis. The dynamic REE in respiratory indirect calorimetry group was significantly higher than that in HB coefficient method group (P<0.05). The average bias of REE between the IC method and the HB method was (1 930.9±597.7)kJ/24 h. For the consistency boundaries was over large and beyond the scope of clinical acceptance, there was a bias between the two methods and they could not directly substituted. There was a linear correlation of REE between the IC method and the HB coefficient (r=0.757, P=0.000). The equation associated with the HB coefficient method is fitted using a one-way regression: Y=1.17X+ 834.11 (kJ/24 h), and X was the 24 h energy expenditure measured by the HB coefficient method.@*Conclusion@#The energy metabolism of patients with sepsis is not obvious in the first 2 weeks. The HB coefficient method significantly underestimates the 24 h energy expenditure of patients with sepsis. The prediction equation can be used to correct the HB coefficient method and improve the HB coefficient method to predict the energy expenditure of patients with sepsis.

Consistency of indirect calorimetry and HB coefficient method for measuring energy expenditure of pa-tients with sepsis / 中华临床营养杂志

Objective To evaluate the difference and correlation of 24 h energy expenditure in patients with sepsis by indirect calorimetry (IC) and HB coefficient equation. Methods A prospective comparative study including 60 patients with sepsis who was suitable for nutritional support and respiratory indirect calorimetry in the intensive care unit (ICU) from January to October 2015 was conducted. Resting energy expenditure (REE) was measured simultaneously by respiratory indirect calorimetry and HB coefficient (Harris-Benedict formula×stress coefficient) in 60 patients with sepsis at 0 day, 3 day, 7 day, and 14 day after nutritional support, and the differences in dynamic REE were compared between the two methods. The consistency of REE by indirect calorimetry (IC) and HB coefficient equation was evaluated by Bland-Altman. The correlation of IC and HB methods was determined by Pearson analysis. The linear regression equation was determined by linear regression analysis. Results Within 2 weeks after nutritional support, 188 times of measures by IC method and HB method respectively were finished in all patients with sepsis. The dynamic REE in respiratory indirect calorimetry group was significantly higher than that in HB coefficient method group (P<0. 05). The average bias of REE between the IC method and the HB method was (1930. 9±597. 7) kJ/24 h. For the consistency boundaries was over large and beyond the scope of clinical acceptance, there was a bias between the two methods and they could not directly substituted. There was a linear correlation of REE between the IC method and the HB coefficient (r =0. 757, P =0. 000). The equation associated with the HB coefficient method is fitted using a oneway regression: Y=1. 17X+ 834. 11 (kJ/24 h), and X was the 24 h energy expenditure measured by the HB coefficient method. Conclusion The energy metabolism of patients with sepsis is not obvious in the first 2 weeks. The HB coefficient method significantly underestimates the 24 h energy expenditure of patients with sepsis. The prediction equation can be used to correct the HB coefficient method and improve the HB coefficient method to predict the energy expenditure of patients with sepsis.

Energy Potential of Animal Waste in the State of Paraná (Brazil)

Abstract Animal biomass is a source of energy commonly discarded without or with low utilization, but its availability draws attention to its reuse [1]. The utilization can be carried out in different ways, varying in terms of generation time and efficiency. The use of biodigestion requires a relatively small area compared to landfills or natural composting, and it provides other materials besides biogas, that can be recycled as fertilizer and has a short residence time of residues [2]. The energy supplied as biogas can be harnessed as heat or electricity in case of conversion. Considering the energy needs of animal husbandry and the ease of reinsertion of energy in the production cycle, the possibility of distributed generation of biogas was studied as a way to complement the rural energy consumption matrix. Poultry farms require heat for chicks [3], dairy production centers require sterilization of used equipment [4] and pig farms require good heating systems to ensure animal weight gain [5]. In this way, the production can take advantage of the heat of the gas without the conversion into electricity, minimizing losses. Creation centers themselves can also generate electricity, eliminating the need for large transmission lines.

The Effects of Foot Baths on Energy Consumption / 日本温泉気候物理医学会雑誌

  Foot baths reportedly reduce pain and improve sleeplessness. In addition, foot baths may induce vasodilation, and thereby improve blood flow, reduce swelling, induce relaxation, and increase deep body temperature. However, the influence of foot baths on energy metabolism and physiological indices are unclear. Therefore, the present study aimed to clarify the effects of foot baths on energy consumption and physiological indices (e.g., heart rate, tympanic temperature, and blood pressure). Nine healthy males were included in this study (age, 23.0±1.0 years; body weight, 66.5±5.6 kg; body fat percentage, 15.1±4.3%). Expired gas composition (i.e., oxygen and carbon dioxide consumption) was analyzed using the Food method in an environmentally-controlled room (room temperature 25°Cand humidity 40%). Subjects were rested in the hood during the measurement. After 30 min rest in the sitting position, a 30 min foot bath was performed, after which the subjects sat for 60 min. Expired gas composition and heart rate were measured over time, and tympanic temperature and blood pressure were measured every 15 min. The foot bath involved immersion of the knees, and the temperature of the water was maintained at 41°C. There were no significant changes in energy consumption after the foot bath, and no significant changes in heart rate, tympanic temperature, and blood pressure. Therefore, our results suggested that there were no significant energy metabolism changes after 30 min of foot bathing at 41°C.

Associations Between Pericardial Adipose Tissue Volume and Cardiovascular Risk Factors and Energy Consumption / 中国循环杂志

Objectives:The purpose of this study was to explore the relationship between the of pericardial adipose tissue (PAT) volume and cardiovascular disease risk factors and energy consumption. Methods:From September 2014 to December 2015,we enrolled 152 inpatients underwent coronary artery CT examination due to suspected coronary heart disease in the Hospital on Integration of Chinese and Western Medicine Affiliated to Nanjing University of Chinese Medicine.The volume of PAT was assessment by 64-slice CT, the energy consumption was assessment by the International Physical Activity Questionnaire. The clinical data, biochemical indexes, PAT volume were analyzed. Results : (1) PAT volume was significantly correlated with age, gender, BMI, HOMA-IR, FPG, HDL-C, TG, total physical activity energy consumption, total middle intensity physical activity energy consumption, total energy consumption of sedentary (P<0.05 or P<0.001); (2) PAT volume of patients with insulin resistance was significantly higher than those without insulin resistance; (3) Multiple regression analysis revealed that age, gender, BMI, total middle intensity physical activity energy consumption were independent predictors of PAT volume. Conclusions: Pericardial adipose tissue (PAT) volume is associated with age, gender, systolic blood pressure, BMI, total middle intensity physical activity energy consumption.

Analysis of the difference between indirect calorimetry and predicted energy estimation in patients with chronic obstructive pulmonary disease / 中华危重病急救医学

Objective To analyze the difference between indirect calorimetry (IC) and predicted energy estimation in patients with chronic obstructive pulmonary disease (COPD), and its possible factors affecting the difference, to provide reasonable energy supply basis for COPD patients. Methods A prospective cohort study was conducted. Twenty-six patients with COPD undergoing mechanical ventilation (MV) admitted to intensive care unit (ICU) of Hangzhou City Fuyang District First People's Hospital in Zhejiang Province from January to December in 2016 were enrolled. The energy values of patients were calculated by IC and predicted energy estimation, respectively. According to the degree of IC values deviating from the predicted energy estimation, the patients were divided into energy approaching group (IC values deviating from the empirical energy estimation ≤15%) and energy deviation group (IC values deviating from the empirical energy estimation > 15%). Bland-Altman diagram was drawn, and the consistency of the energy target values assessing by two methods was analyzed. The factors influencing the energy value deviation of the two measuring methods were screened by the multivariate Logistic regression and linear regression analysis. Results Twenty-six patients were enrolled in the final analysis. The energy target value of IC was significantly higher than that of predicted energy estimation (kJ: 7 079.3±1 213.4 vs. 6 527.0±949.8), and the difference between two values was statistically significant (P < 0.01). Bland-Altman heterogeneity analysis showed that the overall consistency of the energy values between the predicted energy estimation and IC was quite good. There were 14 patients in energy approaching group, and 12 in energy deviation group. There was no significant difference in gender, age, body mass index (BMI), type of COPD, or acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score between the two groups. In energy deviation group, the IC value of patients was significantly higher than predicted energy estimation (kJ: 7 711.1±1 125.5 vs. 6 556.3±907.9, P < 0.01). However, in energy approaching group, there was no significant difference between the energy values of IC and predicted energy estimation (kJ: 6 539.6±1 037.6 vs. 6 501.9±1 016.7, P > 0.05). Multivariate Logistic regression analysis showed that APACHEⅡ score was an independent risk factor inducing the deviation of energy evaluation between IC and predicted energy estimation [odds ratio (OR) = 1.403, 95% confidence interval (95%CI) =1.019-1.932, P = 0.038]. Multivariate linear regression analysis showed that the APACHEⅡ score increased by 1, and the energy deviation increased by 2.0 kJ (β = 0.476, 95%CI = 0.004-0.956, P = 0.047). Conclusions For patients with COPD, there was a good correlation between predicted energy estimation and the resting energy expenditure measured by IC. APACHE Ⅱ score was an independent risk factor inducing the deviation of energy evaluation between IC and predicted energy estimation. It is suggested that the target value of energy should be determined by IC for patients with high APACHE Ⅱ score.

Projection of the Demand of Electricity in the State of Paraná for 2050 and Proposal of Complementarity of the Electrical Matrix through the Solar Photovoltaic Source

ABSTRACT Energy is essential for human activities and, considering the prospect that the demand for energy increases, it is necessary to carry out studies of new technical solutions so as to make the use of the available sources feasible. Greater participation of renewable energy sources in the electricity matrix has been stimulated worldwide and a number of public policies have been adopted by different countries in order to seek greater energy security and sustainability. In this context, photovoltaic solar energy potentially plays an important role in the evolution of the participation of alternative sources in the world energy matrix, considering its abundance and wide availability in the terrestrial surface. This work proposes a methodology to model a scenario that estimates the consumption of electricity in 2050 in the State of Paraná and how it can contribute to the complementarity of the Brazilian electricity matrix. In addition, it indicates, based on decision factors, which are the most indicated mesoregions for possible deployments of grid-connected photovoltaic systems in Paraná to meet this demand.