When a pump comprises two or extra pump mechanisms with fluid being directed to move via them in series, it is called a multi-stage pump.

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ATM skimming is like id theft for debit playing cards: Thieves use hidden electronics to steal the private info stored in your card and record your PIN quantity to entry all that arduous-earned money in your account. If ATM skimming is so serious and high-tech now, what dangers will we face with our debit and credit playing cards sooner or later? Mobile bank card readers let clients make a digital swipe. And, as security is at all times an issue when it comes to delicate bank card data, we'll explore some of the accusations that rivals have made in opposition to other merchandise. If the motherboard has onboard video, attempt to take away the video card completely and boot utilizing the onboard version. Replacing the motherboard usually requires replacing the heatsink and cooling fan, and will change the kind of RAM your computer wants, so you've gotten to do some research to see what components you will need to buy on this case.

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To handle these phenomena, we propose a Dialogue State Tracking with Slot Connections (DST-SC) mannequin to explicitly consider slot correlations throughout completely different domains. Specially, we first apply a Slot Attention to be taught a set of slot-particular features from the original dialogue and then combine them using a slot data sharing module. Slot Attention with Value Normalization for Multi-Domain Dialogue State Tracking Yexiang Wang creator Yi Guo creator Siqi Zhu writer 2020-nov text Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) Association for Computational Linguistics Online conference publication Incompleteness of area ontology and unavailability of some values are two inevitable problems of dialogue state monitoring (DST). On this paper, we propose a new structure to cleverly exploit ontology, which consists of Slot Attention (SA) and Value Normalization (VN), known as SAVN. SAS: Dialogue State Tracking through Slot Attention and Slot Information Sharing Jiaying Hu creator Yan Yang creator Chencai Chen writer Liang He creator Zhou Yu author 2020-jul textual content Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics Association for Computational Linguistics Online convention publication Dialogue state tracker is accountable for inferring user intentions through dialogue history. We propose a Dialogue State Tracker with Slot Attention and Slot Information Sharing (SAS) to cut back redundant information’s interference and improve lengthy dialogue context monitoring.

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