3,026 research outputs found
Supplemental material - Nanoarchitectured Graphene Organic Framework for Drug Delivery and Chemo-photothermal Synergistic Therapy
No full textSupplementary material for Nanoarchitectured Graphene Organic Framework for Drug Delivery and Chemo-photothermal Synergistic Therapy by Chengfeng Xu, Shuting Yao, Peng Jiang, Cui Wang, Jinhua Hu, Junmin Wan, Zhiwen Hu, and Bing Wang in Journal of Biomaterials Applications</p
Ma Huan (original author), Wan Ming (ed.) Ming chaoben " Yingya shenglan " jiaozh
No full textPtak Roderich. Ma Huan (original author), Wan Ming (ed.) Ming chaoben " Yingya shenglan " jiaozh. In: Archipel, volume 71, 2006. Autour de la peinture à Java. Volume II. pp. 240-244
Revisiting the Mitra-Wan Tree Farm.
No full textThe tree-farm model of T. Mitra and H. Wan (1985) contains novelties: a continuum of optimal cycles appear for small discounting and the cyclicality survives perturbations. To isolate the source of novelties, the author studies the simplest case: trees live naturally for two periods. This model specializes the general theory of multisector development under four conditions. It becomes a Ramsey type model, augmented by a cross-vintage constraint: the present acreage under trees, age n, must not be less than the acreage under trees age n + 1, one period hence. Novelties emerge when this constraint bounds the graph of the state-to-control correspondence. Copyright 1994 by Economics Department of the University of Pennsylvania and the Osaka University Institute of Social and Economic Research Association.
Contribuição à deteção de defeitos nos rotores de turboalternadores
No full textTese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Engenharia Elétrica.Este trabalho tem como objetivo desenvolver métodos de detecção, localização e caracterização de defeitos em um turboalternador em escala reduzida. Os defeitos estudados neste trabalho são o curto-circuito entre espiras do rotor e as excentricidades rotóricas. Os métodos serão, em seguida, adaptados aos estudos das máquinas de 900 e 1300 MW do parque nuclear da empresa EDF (Electricité de France). Para isto, a máquina em escala reduzida, foi simulada com o auxílio de dois modelos, um analítico e um numérico por elementos finitos. Os métodos para detectar e localizar os defeitos rotóricos foram, em seguida, desenvolvidos. Os resultados das simulações utilizando os dois modelos e os testes experimentais foram analisados e comparados entre si. Uma boa concordância foi verificada, o que confirma o bom funcionamento dos métodos propostos para a detecção dessas anomalias. Vários casos de defeitos, associados a diferentes modos de trabalho da máquina, foram estudados, comprovando a confiabilidade dos métodos de detecção desenvolvidos.The aim of this work is to develop methods to detect, locate and recognise faults in a turbogenerator of reduced scale. In the framework of this study, only short-circuit defects in the rotor windings and rotor eccentricities were investigated. The developed methods would be adapted to the machines of EDF nuclear plant of 900 and 1300 MW. First the studied machine was modelled using an analytical approach and a numerical model based on the finite element method. Then, the methods to detect and locate the rotor faults were developed. The results obtained from simulations using both approaches and experimental measurements were analysed and compared. They showed a good agreement and demonstrated a good capacity of the method proposed to detect and locate the faults. Several fault cases, at different operating points of the machine, were studied and they showed the good reliability of the method
A Knowledge Distribution Model to Support an Author in Narrative Creation
No full textAdjusting the knowledge of characters and the reader is a critical task for an author in narrative creation. Throughout a narrative, both characters and the reader experience events according to their own timelines and perspectives. They interpret information accumulated through their experience and update knowledge to the narrative-world which the author constructed. In this paper, we present a Knowledge Distribution Model which supports an author in finely controlling the knowledge of characters and the reader. Within the model, the Knowledge Structure is constructed by connecting event, information, and knowledge. The Knowledge State is evaluated as the degree of belief under the knowledge structure. We adopted a probabilistic reasoning model to calculate the knowledge state. The change in knowledge state, defined as Knowledge Flow, is visually presented to the author. We designed a GUI prototype to implement the proposed modeling process, and demonstrated the knowledge flow with an actual cinematic narrative
Fast finite-time tracking consensus with applications on multiple servo motors
No full textThis article focuses on the fast finite-time tracking consensus for uncertain nonlinear multiagent systems. By gracefully combining the hierarchical decomposition, adding a barrier power integrator and disturbance compensation techniques, a new adaptive fast finite-time controller is proposed. Compared with the existing works, the proposed method has several distinguishing features: 1) It can achieve fast finite-time convergence with full state constraints; 2) it can deal with some fully unknown nonlinearities and state-dependent disturbance. Moreover, the nonlinearities can be related with the states of all the followers; 3) the input of the leader is not required to be zero, meaning a broad class of references signals can be generated; and 4) the controller is computationally simply and ready to be implemented. No fuzzy logic/neural networks are needed. Applications of the proposed method on multiple servo motors are also studied.Shiqi Zheng, Peng Shi, Yuanlong Xie, and Shuting Wan
Identifying Author Fingerprints in Texts via Graph Neural Networks
No full textThe world is generating more and more network data in many different areas (e.g., sensor networks, social networks and even text). A unique characteristic of these data is the coupling between data values and underlying irregular structure on which these values are defined. Thus, researchers developed Graph Neural Networks (GNNs) to use deep learning approaches on these irregular network data. GNNs developers tried to replicate the recent success of Convolutional Neural Networks (CNNs) and developed its graph counterpart Graph Convolutional Neural Network (GCNN) and more different variations of GNNs (e.g. EdgeNet). However, all these architectures are relatively young, and the impact of different parameters to classification result is not well researched compared to regular neural network architectures. To address this issue, we propose to use authorship attribution problem to research the impact of different architectures and their variations to classification accuracy and how GNNs can be used to improve on authorship attribution task compared to the baseline architectures. Explicitly, we define the dataset which is going to be used throughout the experiments and the method to convert text excerpts of authors into the network that can be classified with GNNs (called WAN). WAN is as a network that captures unique author fingerprint. We also define the set of GNN architectures (and different combinations and variations of them), baseline architecture (SVM) and experiments that are used with those architectures. This experiment setting allows us to compare different GNN architectures among themselves and the baseline architecture. Also, we define a method to reduce the dimensions of author fingerprints (WANs) and use these sparse author fingerprints for the same experiments with the same architectures. Numerical results show the improvement over the baseline architectures in nearly all defined experiments. Also, we found that more complex GNN architectures (e.g. EdgeNets) are superior to shallower architectures with more laborious experiments (e.g. classification by gender). More complex architectures also require hyperparameter re-tuning in order to achieve optimal results. Furthermore, experiments with sparse author fingerprints showed that we could achieve comparable results to standard fingerprints with faster training times and significantly reduced dimensions. GNN architectures used with sparse author fingerprints were usually superior to baseline architectures
Student Expectations in the New Millennium
No full textHigher education has experienced vast changes as a result of global political and economic developments. Cultural and social changes in the last decade have also added to the continuing evolution of higher education. These changes inevitably lead to changing expectations of students entering higher education. An adequate understanding of student expectations is crucial in ensuring a good fit between higher educational institutions and their students. This study attempts to carry out a baseline descriptive-quantitative research on student expectations in the higher education of Hong Kong. Four scales have been developed to measure students’ attitude toward: 1. job-oriented curriculum design, 2. user-friendly course delivery method, 3. opportunities for lifelong learning, and 4. student consumerism. Students’ priority of what makes a good university, their reasons for going to university, and their self-perception of ability to cope with university life are also explored. The Student Expectations Questionnaire (developed by the author) was used to gather data from 857 first-year undergrads from nine institutions of higher education in Hong Kong. Analyses include, among others, gender, age, major of study as well as institution comparisons
Regionalism and the Rest of the World: The Irrelevance of the Kemp-Wan Theorem.
No full textMany commentators purport to use the Kemp-Wan (1976) theorem to discuss the effects of regional integration schemes on nonmember countries and to operationalize the theorem in terms of the share of member countries' imports coming from nonmembers. The author shows that Kemp and Wan say nothing about changes in nonmember welfare and that the latter is more closely related to nonmembers' imports than to their shares of members' markets. The author suggests that a new approach to this issue is required. Copyright 1997 by Royal Economic Society.
Industrial training report: Keepers Management Property / Wan Nur Husnina Athirah Wan Ismail
No full textThis report is prepared for the subject course code HRM666 (Human Resource Internship) which required in Bachelor of Business Administration (Hons.) in Human Resource Management. The internship report highlights the author's most important achievements from both academic and non-academic perspectives. This document's purpose is to identify, describe, and highlight the intern's achievements while gaining her experience.
This author had chosen Keepers Management Property, Pulau Pinang as her internship placement. This internship report stresses the work experience the author have gathered as an Intern in Admin and Operative Assistant of Keepers Management Property from 14 August 2023 until 02 February 2024. Keepers Management Property is a property management company which the main role is to focus in dealing with clients from various site assigned and also dealing with the service provider to handle the property.
In this report, the author explained her responsibilities assigned to her throughout her 6 months internship period. As for the author's job scope, she needs to handle admin's work such as issue payment receipt, handle issues from client, preparing newsletter for monthly update, preparing notice when any issue rise up, to engage with client via e-mail or WhatsApp and to assist other admin while settling their work. Furthermore, she also assist operation team in site inspection, dealing with site contractor, and assist manager to site visit for a meeting/handover.
The author's gladly mentioned that she's unable to conclude all her experiences as text where she gained from internship. She had high hopes that the internship skills are vital for her career path
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