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Effects of Sex Steroids on Innate and Adaptive Immunity
Estrogens and androgens are classically recognized as reproductive sex steroid hormones because of their well-documented effects on reproductive...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Where do Harris’ Checkerspots Lay their Eggs and what are the Consequences?
Where a female lays her eggs has strong implications for the survival of her offspring, an impetus that takes on particular significance for species...
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Subgraph generation applied in GraphSAGE deal with imbalanced node classification
In graph neural network applications, GraphSAGE applies inductive learning and has been widely applied in important research topics such as node...
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Red-rumped agouti (Dasyprocta leporina linnaeus, 1758) yolk sac development during the early gestation stage
Phylogenetically, the yolk sac is an ancient structure in vertebrate evolution and crucial in the placentation of viviparous animals, playing an...
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An improved approach for incomplete information modeling in the evidence theory and its application in classification
Incomplete information modeling and fusion under uncertain circumstances remain a significant open problem in practical engineering. In this study,...
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Statistical inference on multicomponent stress–strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution
In this article, we draw inferences on stress–strength reliability in a multicomponent system with non-identical strength components based on the...
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Pricing of shout option in uncertain financial market
The shout option allows the investors to make "shouts" to the seller throughout the option’s duration. The investors’ payoff is higher between the...
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Explicit constructions of NMDS self-dual codes
Near maximum distance separable (NMDS) codes are important in finite geometry and coding theory. Self-dual codes are closely related to...
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A new uncertain multi-objective rumor intervention model
Internet rumors have no factual basis, lack credibility, and can easily trigger social panic and group attacks. Measures to effectively intervene in...
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An expert method for defining the adaptation conditions of irrigated crops with the ecosystem of Northwestern China
The uncertain impacts of climate changes on the crop water requirements disarrange the on-farm balance of water supply and demand, thus here needs to...
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Sentiments analysis for intelligent customer service dialogue using hybrid word embedding and stacking ensemble
The intelligent customer service conversations between customer and customer service agent exhibit characteristics such as serious colloquialism, a...
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Characterizations of compactness of fuzzy set space with endograph metric
In this paper, we present the characterizations of total boundedness, relative compactness and compactness in fuzzy set spaces equipped with the...
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Genomic predictions of genetic variances and correlations among traits for breeding crosses in soybean
Parental selection is perhaps the most critical decision a breeder makes, establishing the foundation of the entire program for years to come. Cross...
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k-filters and k-\(\{^*\}\)-congruences of core regular double Stone algebras
In this paper, we investigate various elegant filters and congruences of the class of core regular double Stone algebras (briefly CRD -Stone...
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Picture fuzzy filters on residuated lattices
Filters play an important role in studying fuzzy logics. From a logical point of view, filters correspond to sets of provable formulae. In this...
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Optimization of the different controller parameters via OBL approaches based artificial ecosystem optimization involving fitness distance balance guiding mechanism for efficient motor speed regulation of DC motor
This study proposes a new optimization approach, which is called as artificial ecosystem optimization algorithm with fitness-distance balance guiding...
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Deep learning framework for stock price prediction using long short-term memory
Forecasting stock prices is always considered as complicated process due to the dynamic and noisy characteristics of stock data influenced by...
