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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71 citations
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TL;DR: This study applied the fuzzy Delphi method, fuzzy importance performance analysis and an analytical network process to analyze an interrelationship-driven hierarchical model of service innovation in sustainable product service systems and presents four features that are included in the model: sustainable consumption, collaborative advantage, innovation activities and service innovation capabilities.
70 citations
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TL;DR: The authors compared the degree of cohesion and coherence in the essays written by thirty Filipino college freshmen and analyzes how the social construction of meaning was made evident in their writing, highlighting the socio-cognitive nature of writing practices and how literacy is a social act.
Abstract: This study compares the degree of cohesion and coherence in the essays written by thirty Filipino college freshmen and analyzes how the social construction of meaning was made evident in their writing. Results showed that low, mid and highly rated essays were comparable in grammatical cohesive device use. Lexical repetition and use of synonyms were the most common means of establishing lexical cohesion. The findings suggest that second language writers with shared socio-cultural backgrounds utilize similar linguistic and textual resources in meaning construction, highlighting the socio-cognitive nature of writing practices and how literacy is a social act (Ramanathan & Kaplan, 2000). The students’ lexicogrammatical choices reflect the interrelationship of language and culture. Implications for second language pedagogy accounting for learners’ sociolinguistic backgrounds are discussed.
70 citations
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TL;DR: A Bike Share Emission Reduction Estimation Model (BS-EREM) is proposed to quantify the environmental benefits from bike share trips and compare the greenhouse gas emission reductions from BSS in eight cities in the United States, including New York, Chicago, Boston, Philadelphia, Washington D.C, San Francisco, and Seattle.
Abstract: The emerging bike share systems provide convenient mobility to short-distance travelers for both leisure and commuting purposes. Many cities are rolling out bike share programs. However, few studies have evaluated how bike share systems (BSS) are used to quantify their sustainability impacts. This study proposes a Bike Share Emission Reduction Estimation Model (BS-EREM) to quantify the environmental benefits from bike share trips and compare the greenhouse gas (GHG) emission reductions from BSS in eight cities in the United States, including New York, Chicago, Boston, Philadelphia, Washington D.C., Los Angeles, San Francisco, and Seattle. The BS-EREM model stochastically estimates the transportation modes substituted by bike share trips, considering factors such as trip distance, trip purpose, trip start time, the accessibility of public transits, and historical distributions of transportation mode choices. Based on average life cycle emission factors of different transportation modes, our analysis reveals that the annual GHG emission reductions contributed by the eight BSSs in year 2016 range from 41 tons of CO2-eq (Seattle) to 5417 tons of CO2-eq (New York City), while the emission reductions per trip range from 283 to 581 g CO2-eq. The total annual emission reduction is linearly correlated to the number of trips, bikes, and docks. The bike share stations located in the center of a city contributed to more total GHG emission reductions due to the high trip volumes, while the stations that are further away have higher emission reductions on a per trip basis due to longer trips and higher car substitution rate.
69 citations
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TL;DR: In this paper, a fuzzy mixed-integer linear programming model is developed to simultaneously design and optimize a multi-functional bioenergy system given multiple product demands, carbon footprint, and economic performance constraints.
Abstract: A multi-functional bioenergy system is an efficient way for producing multiple energy products from biomass, which results in near-zero carbon emissions. To achieve net negative carbon emissions, biochar production as carbon sequestration can be integrated in the system. A fuzzy mixed-integer linear programming model is developed to simultaneously design and optimize a multi-functional bioenergy system given multiple product demands, carbon footprint, and economic performance constraints. Case studies are presented involving multi-functional bioenergy systems with biochar production for carbon sequestration. The results show that net negative carbon footprint can be achieved in such systems.
68 citations
Authors
Showing all 2995 results
Name | H-index | Papers | Citations |
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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 |