Institution
De La Salle University
Education•Manila, Philippines•
About: De La Salle University is a education organization based out in Manila, Philippines. It is known for research contribution in the topics: Population & Computer science. The organization has 2951 authors who have published 4374 publications receiving 49567 citations. The organization is also known as: Pamantasang De La Salle.
Papers published on a yearly basis
Papers
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18 citations
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TL;DR: A rough set-based machine learning technique is used to analyze data from more than 70 secure and insecure natural CO2 reservoirs and generate empirical rule-based predictive models for selection of suitable CO2 storage sites, compared with previously published site selection rules that were based on expert knowledge.
Abstract: CO2 capture and storage (CCS) and negative emissions technologies (NETs) are considered to be essential carbon management strategies to safely stabilize climate. CCS entails capture of CO2 from combustion products from industrial plants and subsequent storage of this CO2 in geological formations or reservoirs. Some NETs, such as bioenergy with CCS and direct air capture, also require such CO2 sinks. For these technologies to work, it is essential to identify and use only secure geological reservoirs with minimal risk of leakage over a timescale of multiple centuries. Prediction of storage integrity is thus a difficult but critical task. Natural analogues or naturally occurring deposits of CO2, can provide some information on which geological features (e.g., depth, temperature, and pressure) are predictive of secure or insecure storage. In this work, a rough set-based machine learning (RSML) technique is used to analyze data from more than 70 secure and insecure natural CO2 reservoirs. RSML is then used to generate empirical rule-based predictive models for selection of suitable CO2 storage sites. These models are compared with previously published site selection rules that were based on expert knowledge.
18 citations
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TL;DR: In this article, the authors used the case of the indigenous peoples' rights policy in the Philippines to illustrate the mechanisms that explain how relatively stable parameters are framed and used by political actors to constrain policy change and implementation.
Abstract: One of the challenges in understanding politics and public policy is to elucidate the interactions between the policy process and a broader context In the scholarship on the advocacy coalition framework, this broader context is described as a set of variables called relatively stable parameters and is one of the most understudied areas within the framework This paper aims to contribute to this area of scholarship by using the case of the indigenous peoples’ rights policy in the Philippines to illustrate the mechanisms that explain how relatively stable parameters are framed and used by political actors to constrain policy change and implementation In particular, it illustrates that while the minority coalition used incremental shifts in the constitution to pass the Indigenous Peoples Rights Act, the dominant opposing coalition has activated and used relatively stable parameters associated with the Regalian Doctrine to restrict the formulation, prorogate the enactment, and weaken the implementat
18 citations
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TL;DR: A Web‐based learning module in a basic civil engineering course in structural analysis was developed and described the process, principles, and tools used in developing this learning module.
Abstract: Many universities worldwide have their own home pages on the World Wide Web accessible to both faculty and students via user‐friendly Web browsers. Thus, education and learning resources must be developed and published on the Web to maximize the usefulness of this new technology in higher education. In line with this thrust, a Web‐based learning module in a basic civil engineering course in structural analysis was developed. This article describes the process, principles, and tools used in developing this learning module. © 2000 John Wiley & Sons, Inc. Comput Appl Eng Educ 7: 235–243, 1999
18 citations
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TL;DR: In this article, the authors carried out density functional theory-based calculations to investigate the dissociative adsorption on two platinum surfaces, viz., Pt(111) and Pt(001), and calculated the corresponding total energies, for varying center-of-mass distances from the Pt surface, and varying O-O interatomic distances.
Abstract: We carry out density functional theory-based calculations to investigate the oxygen $({\mathrm{O}}_{2})$ dissociative adsorption on two platinum (Pt) surfaces, viz., Pt(111) and Pt(001). We calculated the corresponding total energies, for varying ${\mathrm{O}}_{2}$ center-of-mass distances from the Pt surface, and varying O-O interatomic distances. Our calculation results show that the ${\mathrm{O}}_{2}$ dissociative adsorption progresses much more easily on Pt(001) than on Pt(111). These results are in good agreement with experimentally observed differences and trends in reactivities of Pt(001) and Pt(111).
18 citations
Authors
Showing all 2995 results
Name | H-index | Papers | Citations |
---|---|---|---|
Shin-ichi Ohkoshi | 67 | 480 | 15208 |
Raymond R. Tan | 51 | 446 | 9869 |
Ming-Lang Tseng | 50 | 307 | 9968 |
Dominic C. Y. Foo | 46 | 285 | 7007 |
Masahiko Tani | 43 | 361 | 6446 |
Denny K. S. Ng | 41 | 227 | 5089 |
Rudy Setiono | 39 | 115 | 8361 |
Michael Y. Roleda | 38 | 103 | 4156 |
Arvin C. Diesmos | 36 | 112 | 6528 |
Hideaki Kasai | 33 | 571 | 6033 |
Anthony S.F. Chiu | 33 | 114 | 4732 |
Joris De Schutter | 32 | 275 | 4524 |
Maricar S. Prudente | 29 | 100 | 4693 |
Kathleen B. Aviso | 29 | 195 | 2802 |
Carlo Magno | 27 | 151 | 2449 |