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Antonio Jaramillo Dayag
Pág. 66 - 76
Banks are believed to instrumental to economic growth because it provides the financial backbone needed to spur economic development through business creation and expansion. A healthy and resilient banking sector signals economic growth and develop...
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Charles Gitiya Njoroge
Pág. 88 - 100
The purpose of the study was to establish the effect of exchange rate on the performance of the residential property market in Kenya. The study used secondary data that was accumulated using secondary data collection sheet from first quarter of 2005 to f...
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Arben Tërstena, Ismail Mehmeti, Sokol Krasniqi
Pág. 77 - 87
Fiscal policy and foreign trade as a determinant of economic development ? focus KosovoAbstractPurpose: The purpose of this paper is to identify the role of fiscal policy in Kosovo, comparing with the Western Balkan countries, in the trends of economic d...
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Hao Wang, Miao Li, Jianyong Duan, Li He and Qing Zhang
Previous work has demonstrated that end-to-end neural sequence models work well for document-level event role filler extraction. However, the end-to-end neural network model suffers from the problem of not being able to utilize global information, result...
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Xuemei Fu, Nan Yang, Yongqin Du, Hafiz Muhammad Kamran, Huabo Wang, Shaoyuan Chen and Longqing Chen
Terpene synthase (TPS) plays a key role in the biosynthesis of terpenoids, which are the most important components of the volatile compounds of wintersweet (Chimonanthus praecox). In this study, 52 CpTPS genes were found in wintersweet which were divided...
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Xuan Di, Rongye Shi, Zhaobin Mo and Yongjie Fu
For its robust predictive power (compared to pure physics-based models) and sample-efficient training (compared to pure deep learning models), physics-informed deep learning (PIDL), a paradigm hybridizing physics-based models and deep neural networks (DN...
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Yifei Wang, Yongwei Wang, Hao Hu, Shengnan Zhou and Qinwu Wang
In order to solve the current problems in domain long text classification tasks, namely, the long length of a document, which makes it difficult for the model to capture key information, and the lack of expert domain knowledge, which leads to insufficien...
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Qiang He, Guowei Chen, Wenchao Song and Pengzhou Zhang
Named entity recognition (NER) is a subfield of natural language processing (NLP) that identifies and classifies entities from plain text, such as people, organizations, locations, and other types. NER is a fundamental task in information extraction, inf...
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Chengmin Zhou, Lansong Jiang and Jake Kaner
This study aims to integrate data-driven methodologies with user perception to establish a robust design paradigm. The study consists of five steps: (1) theoretical research?a review of the subject background and applications of Kansei engineering and gr...
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Mark Geiger, Daniel Hock and Konrad Nübel
The building industry faces a number of prominent challenges in the coming period. In this article, we focus on productivity in construction, which lags behind other industries despite technological developments. There is an urgent need for more efficien...
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