118   Artículos

 
en línea
Jhon Lennon Bezerra da Silva, Marcos Vinícius da Silva, Alexandre Maniçoba da Rosa Ferraz Jardim, Pabrício Marcos Oliveira Lopes, Henrique Fonseca Elias de Oliveira, Josef Augusto Oberdan Souza Silva, Márcio Mesquita, Ailton Alves de Carvalho, Alan Cézar Bezerra, José Francisco de Oliveira-Júnior, Maria Beatriz Ferreira, Iara Tamires Rodrigues Cavalcante, Elania Freire da Silva and Geber Barbosa de Albuquerque Moura    
Northeast Brazil (NEB), particularly its semiarid region, represents an area highly susceptible to the impacts of climate change, including severe droughts, and intense anthropogenic activities. These stresses may be accelerating environmental degradatio... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Nan Fu, Dengfeng Liu, Hui Liu, Baozhu Pan, Guanghui Ming and Qiang Huang    
Water, energy, food, and ecology are essential for achieving sustainable development in a region, and in order to achieve the Sustainable Development Goals, their security is also essential at a river basin scale. This study investigated the interrelatio... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Ranjot Kaur, Gurbax Singh Chhina, Mandeep Kaur, Rajan Bhatt, Khalid M. Elhindi and Mohamed A. Mattar    
This study was carried out in Amritsar, Punjab, to find out how efficiently nutrients were used and how much energy was employed in direct-seeded rice (DSR) production. In this study, four levels of nitrogen (0, 40, 50, and 60 kg N ha-1) and three levels... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Davinder Malhotra and Srinivas Nippani    
This study investigates the risk-adjusted performance of energy equity mutual funds across a 23-year period, employing the Cumulative Wealth Index (CWI) to gauge their long-term performance relative to benchmark indices. Despite inherent volatility due t... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Tahsin Koroglu and Elanur Ekici    
In recent years, wind energy has become remarkably popular among renewable energy sources due to its low installation costs and easy maintenance. Having high energy potential is of great importance in the selection of regions where wind energy investment... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Wei-Lung Mao, Sung-Hua Chen and Chun-Yu Kao    
Gantry-type dual-axis platforms can be used to move heavy loads or perform precision CNC work. Such gantry systems drive a single axis with two linear motors, and under heavy loads, a high driving force is required. This can generate a pulling force betw... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Anna Lubkowska, Aleksandra Radecka, Waldemar Pluta and Krzysztof Wieleba    
Regional oxygen saturation (rSO2) assessed by near-infrared spectroscopy (NIRS) reflects the perfusion and metabolism of the assessed tissue. The study aimed to determine the reference values of rSO2 for selected body areas, considering gender, age and b... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Kestutis Romaneckas, Austeja ?vereikaite, Rasa Kimbirauskiene, Au?ra Sinkeviciene and Jovita Balandaite    
Agriculture uses a lot of fuel, fertilizers, pesticides and other substances, while emitting large amounts of GHGs. It is important to optimize these inputs and outputs. One such way is by increasing crop biodiversity. For this reason, single crops and m... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Gabriela Frunza, Otilia Cristina Murariu, Marius-Mihai Ciobanu, Razvan-Mihail Radu-Rusu, Daniel Simeanu and Paul-Corneliu Boi?teanu    
This study aimed to nutritionally and technologically characterize the meat produced by rabbit (Oryctolagus cuniculus, Flemish Giant breed, 50 farmed individuals) and hare (Lepus europaeus Pallas, 50 hunted individuals). Muscles were sampled from several... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
D. Criado-Ramón, L. G. B. Ruiz and M. C. Pegalajar    
Pattern sequence-based models are a type of forecasting algorithm that utilizes clustering and other techniques to produce easily interpretable predictions faster than traditional machine learning models. This research focuses on their application in ene... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

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