2,916 research outputs found
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.
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
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
Is iron unique in promoting electrical conductivity in MOFs?
No full textIdentifying the metal ions that optimize charge transport and charge density in metal–organic frameworks is critical for systematic improvements in the electrical conductivity in these materials. In this work, we measure the electrical conductivity and activation energy for twenty different MOFs pertaining to four distinct structural families: M2(DOBDC)(DMF)2 (M = Mg2+, Mn2+, Fe2+, Co2+, Ni2+, Cu2+, Zn2+); H4DOBDC = 2,5-dihydroxybenzene-1,4-dicarboxylic acid; DMF = N,N-dimethylformamide), M2(DSBDC)(DMF)2 (M = Mn2+, Fe2+; H4DSBDC = 2,5-disulfhydrylbenzene-1,4-dicarboxylic acid), M2Cl2(BTDD)(DMF)2 (M = Mn2+, Fe2+, Co2+, Ni2+; H2BTDD = bis(1H-1,2,3-triazolo[4,5-b],[4′,5′-i]dibenzo[1,4]dioxin), and M(1,2,3-triazolate)2 (M = Mg2+, Mn2+, Fe2+, Co2+, Cu2+, Zn2+, Cd2+). This comprehensive study allows us to single-out iron as the metal ion that leads to the best electrical properties. The iron-based MOFs exhibit at least five orders of magnitude higher electrical conductivity and significantly smaller charge activation energies across all different MOF families studied here and stand out materials made from all other metal ions considered here. We attribute the unique electrical properties of iron-based MOFs to the high-energy valence electrons of Fe2+ and the Fe3+/2+ mixed valency. These results reveal that incorporating Fe2+ in the charge transport pathways of MOFs and introducing mixed valency are valuable strategies for improving electrical conductivity in this important class of porous materials
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
Probing Exciton Dynamics in Metal–Organic Frameworks
No full textBound electron–hole pairs, known as excitons, are key carriers of energy during a material’s interaction with light. Therefore extending understanding and control over exciton dynamics can potentially break the bottlenecks that currently limit solar energy harvesting technologies. However, design principles for accessing desired exciton transfer and conversion pathways remain unclear, as these dynamics are often tangled with a mixture of interactions both among excitons and with the surrounding environment. To address this challenge, efforts in this thesis center around developing strategies for tuning exciton dynamics using metal–organic frameworks (MOFs) as a scaffold. Independent synthetic handles within MOFs will be mapped with the structural and electronic variables that impact exciton–exciton, exciton–vibrational, and exciton–photon interactions. Chapter 1 introduces the fundamental principles underlying these three types of interactions experienced by excitons in MOFs. The perception of MOFs will be expanded beyond the traditional image of their crystal structure to capture MOFs’ nuclear degrees of freedom, dielectric environment, and macroscopic morphology, which are factors that will be further explored in the following chapters. Chapter 2 demonstrates that MOFs’ metric structure is suited for tuning exciton–exciton interactions that occur via resonant dipole coupling. Due to the angular sensitivity of these interactions, a paddlewheel pillared MOF structure effectively blocks parasitic singlet energy transfer from a pyrene donor to a porphyrin acceptor by anchoring their transition dipoles at 90° to each other. Chapter 3 brings MOFs’ nuclear degrees of freedom into consideration, and identifies spectral footprints left by excitons’ coupling to the intramolecular vibration of the organic building units. These vibronic signatures are applied as a spectral handle for extracting the trend of excitonic coupling strength in a series of perylene diimide (PDI)-based MOF-74 analogs with different metal ions (Mn2+, Ni2+, Zn2+). A correlation between the excitonic coupling strength and the metal ions’ polarizability points to the inorganic moieties’ potential role in mediating the dielectric environment experienced by the excitons. Chapter 4 zooms out of the light–MOF interactions occurring at the molecular level to highlight the influence of the macroscopic morphology of MOF crystallites. A dipole orientation-dependent waveguide effect detected in bichromophoric MOF microplates reveals that excitons’ transition dipoles in MOFs can be inherently aligned with the reflecting surfaces of their surrounding microcavity, which enables potential control over excitons’ interaction with the waveguide modes confined in the crystal. Broader implications and future possibilities unlocked by these observations will be discussed.Ph.D
ANALISIS DAN PERANCANGAN WIDE AREA NETWORK (WAN) BERBASIS IP VPN PADA PT. AUTOCOMP SYSTEMS INDONESIA
No full textThe purpose of this research is to analyze and design an IP VPN-based Wide Area Network (WAN) at PT. Autocomp Systems Indonesia to facilitate employees in accessing a centralized information system quickly, stably and securely. The company currently uses a Leased Line-based WAN network, but there are many disadvantages such as high costs and low bandwidth capacity. so the authors try to solve this problem. The methodology used in this research is NDLC (Network Development Life Cycle). The NDLC method consists of Analysis, Design, Simulation Prototyping, Implementation, Monitoring and Management. To design this network the author uses GNS3 simulation software (Graphical Network Simulator-3).The conclusion obtained from this study is that IP VPN-based WAN networks can reduce costs and provide higher network speeds than Leased Line-based WAN networks
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