Results 51 to 60 of about 40,500 (257)
Diabetic encephalopathy (DME) impairs neurobehavior, neurochemicals, oxidative stress, and inflammation. This study evaluated the effects of hesperidin (HSP), exercise (EX), and acarbose (ACA) alone or combined on diabetic rats. Treatments reduced AChE, BChE, ACE, arginase, ATPDase, 5′‐nucleotidase, ADA, LDH, TBARS, and ROS, while increasing IL‐10, SOD,
Idowu Sunday Oyeleye +5 more
wiley +1 more source
The present study had as objective to characterize aspects of the attainment and commercialization of the Brazilian-pine nut, as a resource capable to contribute for attainment of income and conservation of FOM.
Camila Vieira da Silva +1 more
doaj
Axial variation of basic density of Araucaria angustifolia wood in different diameter classes
: The study of the wood characteristics is of fundamental importance for the correct use of this raw material and, among its properties, the basic density is a major, being reference in the quality of this material. This study aimed to evaluate the axial
Rômulo Trevisan +5 more
doaj +1 more source
Expansion of the geographic range of Cyatta abscondita Sosa-Calvo et al., 2013 (Hymenoptera: Formicidae) [PDF]
The presence of the recently described fungus-farming ant genus and species Cyatta abscondita is reported in the northwestern region of Misiones Province in Argentina. A single worker of C.
Filloy, Julieta +4 more
core +2 more sources
This study presents an integrated anatomical, chemical, biological, and computational analysis of Myrcia sylvatica, revealing key bioactive compounds with antioxidant and toxicological potential, and identifying spathulenol and globulol as promising acetylcholinesterase inhibitors with favourable pharmacokinetic properties. ABSTRACT Myrcia sylvatica (G.
Eliza de Jesus Barros dos Santos +10 more
wiley +1 more source
Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer +3 more
wiley +1 more source
Araucaria angustifolia (Bert.) O. Kuntze is a dioecious conifer species native of Brazil. The rare occurrence of monoiceous specimens have been attributed to pathogenic infections or other injuries in adult trees.
Valdir M. Stefenon +1 more
doaj +1 more source
Marked decline in forest-dependent small mammals following habitat loss and fragmentation in an Amazonian deforestation frontier [PDF]
Agricultural frontier expansion into the Amazon over the last four decades has created million hectares of fragmented forests. While many species undergo local extinctions within remaining forest patches, this may be compensated by native species from ...
Palmeirim, Ana Filipa +2 more
core +1 more source
Material ESG Performance and Bid Premium in Merger and Acquisition Deals
ABSTRACT This study examines the firm‐level and country‐level environmental, social, and governance (ESG) performance on bid premiums in cross‐border mergers and acquisitions (M&A) transactions. We document considerable variations in bid premiums. Higher carbon emissions are associated with higher bid premiums, suggesting that acquirers may perceive ...
Ndubuisi Ezenwa +2 more
wiley +1 more source
Operating Capacity, Pricing and Supply Elasticity in Container Shipping Markets
ABSTRACT We investigate the channels through which changes in operating capacity influence freight rates in the container shipping market using a novel dataset to create an operating capacity index at the shipping‐route level. Our analysis reveals that when supply elasticity is low, an increase in operating capacity tends to drive freight rates upward,
Cong Sui +3 more
wiley +1 more source

