Economia, agricultura e clima através de modelo digital do terreno na microrregião de Vitória de Santo Antão | Economy, agriculture and climate through model digital terrain in microrregião Vitória de Santo Antão, Pernambuco – Brazil

A modelagem digital do terreno – MDT é um modelo matemático que fornece a partir dascoordenadas x,y,z a representação tridimensional do terreno, podendo ser usada na topografia, observando que as formas mais convencionais de representação são as unidimensionais e bidimensionais. Além dos aspectos de relevo, a MDT pode ser usada em parâmetros como agricultura, IDH, população, precipitação e temperatura diferenciando e aprofundando os estudos e as análises. O objetivo desse trabalho foi a análise dos parâmetros de temperatura média anual, precipitação média anual, índice de desenvolvimento humano e produto interno bruto dos municípios oriundos da Microrregião Vitória de Santo Antão avaliando as aptidões agrícolas da área para melhoria da qualidade de vida e renda local. As análises climáticas mostraram que a Microrregião detém um grande potencial agrícola, junto com investimentos público-privados a região pode se tornar um polo de abastecimento alimentício da zona da mata Pernambucana. A conservação da biodiversidade das florestas e as atividades de reflorestamento e manejo sustentável das matas ciliares podem trazer uma alternativa empregatícia para a população que detém baixos índices de desenvolvimento humano e renda. The digital terrain modeling - MDT is a mathematical model that provides from the coordinates x, y, z the three-dimensional representation of the terrain and can be used in the topography, notingthat most conventional forms of representation are one-dimensional and two-dimensional. In addition to the relevant aspects, MDT can be used on parameters such as agriculture, HDI, population, precipitation and temperature differentiating and deepening the studies and analyzes.The aim of this study was the analysis of average annual temperature parameters, average annual rainfall, human development index and gross domestic product of the originating counties of Microregion Vitória de Santo Antão evaluating the agricultural skills of the area to improve the quality of life and local income. Climate analyzes showed that the micro region has a great agriculturalpotential, along with public-private investment the region can become a food supply pole area of the Pernambuco forest. Biodiversity conservation of forests and reforestation activities and sustainable management of riparian forests can bring an alternative employment for the populationthat has low levels of human development and income

Diagnóstico climático e potencial agrícola da microrregião Vale do Ipojuca através da modelagem digital do terreno | Climate diagnostics and agricultural potential of microregion Vale of Ipojuca through digital model terrain

A modelagem digital do terreno – MDT é um modelo matemático que fornece a partir dascoordenadas x,y,z a representação tridimensional do terreno, podendo ser usada na topografia, observando que as formas mais convencionais de representação são as unidimensionais e bidimensionais. Além dos aspectos de relevo A MDT pode ser usada em parâmetros como agricultura, IDH, população, precipitação e temperatura diferenciando e aprofundando os estudos e as análises. O objetivo desse trabalho foi a análise dos parâmetros de temperatura média anual, precipitação média anual, índice de desenvolvimento humano e produto interno bruto dos municípios oriundos da Microrregião Vale do Ipojuca avaliando as aptidões agrícolas da área para melhoria da qualidade de vida e renda local. As análises climáticas mostraram que a Microrregião detém potencial agrícola natural de médio a baixo, tendo destaques nos setores industriais e serviços, porém, através de manejos agrícolas adequados os municípios poderão gerar maiores quantitativos de emprego através das práticas agrícolas. A conservação da biodiversidade das florestas, as atividades de reflorestamento e manejo sustentável das matas ciliares junto ao turismo de aventura são alternativas empregatícias para a população que já se beneficia de outro tipo de turismo, o religioso.The digital terrain modeling - MDT is a mathematical model that provides from the coordinates x, y, z a three-dimensional representation of the terrain and can be used in the topography, noting that most conventional forms of representation are one-dimensional and two-dimensional. In addition to the relevant aspects MDT can be used on parameters such as agriculture, HDI, population, precipitation and temperature differentiating and deepening the studies and analyzes. The aim of this study was the analysis of average annual temperature parameters, average annual rainfall, human development index and gross domestic product of municipalities resulting from the Microregion Vale of Ipojuca evaluating the agricultural skills of the area to improve the quality of life and local income. Climate analyzes showed that the micro-region holds natural agricultural potential medium to low, with highlights in the industrial and services sectors, however, through appropriate agricultural management municipalities can generate quantitative employment through greater agricultural practices. Biodiversity conservation of forests, reforestation activities and sustainable management of riparian forests along the adventure tourism are alternative employment for the people who already benefit from other types of tourism, religious

Improving physical activity behaviors, physical fitness, cardiometabolic and mental health in adolescents - ActTeens program : a protocol for a randomized controlled trial

This trial aims to investigate the effects of the ActTeens physical activity program, on adolescents' physical activity level, health-related fitness, cardiometabolic and mental health. The trial will aim to recruit ∼140 adolescents (aged 13-14 years). Participants will be randomized into either intervention or control groups. The intervention will be guided by social cognitive theory and self-determination theory and implemented over one school term (24- weeks). The ActTeens Program will include: (1) structured physical activity sessions delivered within physical education, including movement-based games and dynamic stretching warm-ups; resistance training skill development; high-intensity training workouts; and cooldowns; (2) self-monitoring plus goal setting for physical activity by pedometer-smart wearable; and (3) healthy lifestyle guidance (social support) by WhatsApp® messages about healthy eating and regular physical activity for the intervention and parents groups. Study outcomes will be assessed at baseline, 24-weeks from baseline, and 12-months from baseline. Physical activity (accelerometer) is the primary outcome. Secondary outcomes include muscular and cardiorespiratory fitness, cardiometabolic profile, and mental health. A process evaluation will be conducted (i.e., recruitment, retention, attendance, and program satisfaction). This project will have the potential to address many questions and debates regarding the implementation of physical activity interventions in low-and- middle-income countries

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Diagnóstico climático e potencial agrícola da microrregião Vale do Ipojuca através da modelagem digital do terreno | Climate diagnostics and agricultural potential of microregion Vale of Ipojuca through digital model terrain

A modelagem digital do terreno – MDT é um modelo matemático que fornece a partir das coordenadas x,y,z a representação tridimensional do terreno, podendo ser usada na topografia, observando que as formas mais convencionais de representação são as unidimensionais e bidimensionais. Além dos aspectos de relevo A MDT pode ser usada em parâmetros como agricultura, IDH, população, precipitação e temperatura diferenciando e aprofundando os estudos e as análises. O objetivo desse trabalho foi a análise dos parâmetros de temperatura média anual, precipitação média anual, índice de desenvolvimento humano e produto interno bruto dos municípios oriundos da Microrregião Vale do Ipojuca avaliando as aptidões agrícolas da área para melhoria da qualidade de vida e renda local. As análises climáticas mostraram que a Microrregião detém potencial agrícola natural de médio a baixo, tendo destaques nos setores industriais e serviços, porém, através de manejos agrícolas adequados os municípios poderão gerar maiores quantitativos de emprego através das práticas agrícolas. A conservação da biodiversidade das florestas, as atividades de reflorestamento e manejo sustentável das matas ciliares junto ao turismo de aventura são alternativas empregatícias para a população que já se beneficia de outro tipo de turismo, o religioso. The digital terrain modeling - MDT is a mathematical model that provides from the coordinates x, y, z a three- dimensional representation of the terrain and can be used in the topography, noting that most conventional forms of representation are one-dimensional and two-dimensional. In addition to the relevant aspects MDT can be used on parameters such as agriculture, HDI, population, precipitation and temperature differentiating and deepening the studies and analyzes. The aim of this study was the analysis of average annual temperature parameters, average annual rainfall, human development index and gross domestic product of municipalities resulting from the Microregion Vale of Ipojuca evaluating the agricultural skills of the area to improve the quality of life and local income. Climate analyzes showed that the micro-region holds natural agricultural potential medium to low, with highlights in the industrial and services sectors, however, through appropriate agricultural management municipalities can generate quantitative employment through greater agricultural practices. Biodiversity conservation of forests, reforestation activities and sustainable management of riparian forests along the adventure tourism are alternative employment for the people who already benefit from other types of tourism, religious

Economia, agricultura e clima através de modelo digital do terreno na microrregião de Vitória de Santo Antão | Economy, agriculture and climate through model digital terrain in microrregião Vitória de Santo Antão, Pernambuco – Brazil

A modelagem digital do terreno – MDT é um modelo matemático que fornece a partir das coordenadas x,y,z a representação tridimensional do terreno, podendo ser usada na topografia, observando que as formas mais convencionais de representação são as unidimensionais e bidimensionais. Além dos aspectos de relevo, a MDT pode ser usada em parâmetros como agricultura, IDH, população, precipitação e temperatura diferenciando e aprofundando os estudos e as análises. O objetivo desse trabalho foi a análise dos parâmetros de temperatura média anual, precipitação média anual, índice de desenvolvimento humano e produto interno bruto dos municípios oriundos da Microrregião Vitória de Santo Antão avaliando as aptidões agrícolas da área para melhoria da qualidade de vida e renda local. As análises climáticas mostraram que a Microrregião detém um grande potencial agrícola, junto com investimentos público-privados a região pode se tornar um polo de abastecimento alimentício da zona da mata Pernambucana. A conservação da biodiversidade das florestas e as atividades de reflorestamento e manejo sustentável das matas ciliares podem trazer uma alternativa empregatícia para a população que detém baixos índices de desenvolvimento humano e renda.   The digital terrain modeling - MDT is a mathematical model that provides from the coordinates x, y, z the three-dimensional representation of the terrain and can be used in the topography, noting that most conventional forms of representation are one-dimensional and two-dimensional. In addition to the relevant aspects, MDT can be used on parameters such as agriculture, HDI, population, precipitation and temperature differentiating and deepening the studies and analyzes. The aim of this study was the analysis of average annual temperature parameters, average annual rainfall, human development index and gross domestic product of the originating counties of Micro region Vitória de Santo Antão evaluating the agricultural skills of the area to improve the quality of life and local income. Climate analyzes showed that the micro region has a great agricultural potential, along with public-private investment the region can become a food supply pole area of the Pernambuco forest. Biodiversity conservation of forests and reforestation activities and sustainable management of riparian forests can bring an alternative employment for the population that has low levels of human development and income

Effect of High Intensity Interval and Continuous Swimming Training on Body Mass Adiposity Level and Serum Parameters in High-Fat Diet Fed Rats

This study aimed to investigate the effects of interval and continuous training on the body mass gain and adiposity levels of rats fed a high-fat diet. Forty-eight male Sprague-Dawley rats were randomly divided into two groups, standard diet and high-fat diet, and received their respective diets for a period of four weeks without exercise stimuli. After this period, the animals were randomly divided into six groups (n=8): control standard diet (CS), control high-fat diet (CH), continuous training standard diet (CTS), continuous training high-fat diet (CTH), interval training standard diet (ITS), and interval training high-fat diet (ITH). The interval and continuous training consisted of a swimming exercise performed over eight weeks. CH rats had greater body mass gain, sum of adipose tissues mass, and lower serum high density lipoprotein values than CS. The trained groups showed lower values of feed intake, caloric intake, body mass gain, and adiposity levels compared with the CH group. No significant differences were observed between the trained groups (CTS versus ITS and CTH versus ITH) on body mass gains and adiposity levels. In conclusion, both training methodologies were shown to be effective in controlling body mass gain and adiposity levels in high-fat diet fed rats

Theoretical and experimental studies of the controlled release of tetracycline incorporated into bioactive glasses.

Several authors have studied the release profile of drugs incorporated in different devices. However, to the best of our knowledge, although many studies have been done on the release of tetracycline, in these release devices, no study has investigated if the released compound is actually the tetracycline, or, instead, a degraded product. This approach is exploited here. In this work, we analyse the influence of two drying methods on the tetracycline delivery behaviour of synthesised glasses using the sol-gel process. We compare the drying methods results using both theoretical models and practical essays, and analyse the chemical characteristic of the released product in order to verify if it remains tetracycline. Samples were freeze-dried or dried in an oven at 37?C and characterised by several methods such as Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), thermogravimetric analysis (TG), differential thermogravimetric analysis (DTG), differential thermal analyses (DTA) and gas adsorption analysis (BET). The released concentration of tetracycline hydrochloride was studied as a function of time, and it was measured by ultraviolet spectrophotometry in the tetracycline wavelength. The drug delivery profiles were reasonably consistent with a diffusion model analysis. In addition, we observed higher release rates for the freeze-dried compared to those dried in an oven at 37?C. This higher release can be attributed to larger pore size for the freeze-dried sample systems with tetracycline, which promoted more water penetration, improving the drug diffusion. The analysis of the solution obtained in the release tests using high-performance liquid chromatography- mass spectrometry (HPLC-MS) confirmed that tetracycline was being released