The objective of this study was to investigate the effect of birth weight (BW) on future milk production and reproductive performance in Iranian Holstein cattle. Records of Holstein cows between 1967 and 2010 were obtained from the Animal Breeding Center of Iran. Birth weights within each herd were grouped into five categories based on the standard normal distribution curves (z ≤-0.8416, -0.841...

Insufficiently labeled samples and low-generalization performance have become significant natural language processing problems, drawing concern for few-shot text classification (FSTC). Advances in prompt learning significantly improved the of FSTC. However, methods typically require pre-trained model tokens vocabulary list training, while different models token coding structures, making it impr...

• 14 frozen soil thermal conductivity (FSTC) algorithms in land surface models were reviewed. These FSTC evaluated with measurements at temperature ≤−4 °C. The Becker 1992 algorithm performed the based on measured FSTC. incorporated into SHAW model for evaluation. No perform well, average bias ranging from −2.2 to 2.8 °C and −0.08 0.1 cm 3 −3 . Frozen (FSTC, λ eff ) is a critical thermophysical...

Abstract To provide a reliable and comprehensive data reference for core geometry design of graphite-moderated low-enriched uranium fueled molten salt reactors, the influences geometric parameters on temperature coefficient reactivity (TCR) at an assembly level were characterized. A four-factor formula was introduced to explain how different coefficients behave in terms fuel volume fraction siz...

Domain-generalized few-shot text classification (DG-FSTC) is a new setting for (FSTC). In DG-FSTC, the model meta-trained on multi-domain dataset, and meta-tested unseen datasets with different domains. However, previous methods mostly construct semantic representations by learning from words directly, which limited in domain adaptability. this study, we enhance adaptability of utilizing distri...

In this paper, we study a single server Markovian queue with state dependent accessible services, reneging and feedback of customers. The server can accommodate at the most $d$ customers in the service station, after which the new arrivals have to wait in the primary queue of infinite waiting space. All arrivals demand First Essential Service (FES), after completing FES, customers decide to joi...

the purpose of this research is measuring and comparing service quality and ranking its dimensions in melli bank branches of esfahan city. for attaining this purpose systr-sq scale is used. this scale is special for measuring bank service quality. questionnaire drive from this scale is contained four dimensions and 21 question. dimensions are service system quality, behavioral system quality, s...