130,361 research outputs found
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Penentuan Faktor Kunci Peningkatan Kualitas Air Limbah Industri Makanan Menggunakan Interpretative Structural Modeling (ISM)
No full textIndustri makanan merupakan salah satu jenis industri manufaktur yang menggunakan berbagai sumber daya dalam operasionalnya dimana dalam prosesnya berpotensi menghasilkan air limbah yang mengandung berbagai senyawa yang dapat menurunkan kualitas lingkungan. Penelitian ini bertujuan untuk menentukan faktor kunci peningkatan kualitas air limbah di industri makanan. Pemilihan alternatif dan analisis strategi menggunakan metode Interpretative Structural Modelling (ISM), dimana metode ini menggunakan penilaian pakar dalam bentuk kuesioner dalam pengambilan datanya. Hasil penelitian menunjukkan bahwa terdapat empat faktor utama dalam upaya peningkatan kualitas air limbah seperti manusia, mesin, metode, material dan lingkungan. Lebih lanjut, berdasarkan hasil analisis dengan metode ISM diperoleh nilai dependent yang rendah dan nilai driver power yang tinggi, maka dapat diketahui faktor kunci dalam peningkatan kualitas air limbah di industri makanan yaitu faktor monitoring harian dalam pengecekan effluent. Sehingga, pemangku kepentingan di industri pengolahan makanan untuk senantiasa melakukan monitoring dan perbaikan proses dalam rangka peningkatan kualitas air limbah yang sesuai dengan baku mutu lingkungan.
Kata kunci: Air limbah, Industri makanan, ISM, Kualitas, Faktor kunci
ABSTRACT
The food industry is one type of manufacturing industry that uses various resources in its operations. The processing process has the potential to produce wastewater containing various compounds that can reduce the quality of the environment. This study aims to determine the key factors to improve the quality of wastewater in the food industry. The selection of key factors is using Interpretative Structural Modeling (ISM) method. This method uses expert judgment in the form of questionnaires in the data retrieval. The results showed that there are four main factors in efforts to improve the quality of wastewater such as human, machine, method, material, and environment. Furthermore, based on ISM method analysis results obtained low dependent value and high power driver value, a key factor in improving the quality of wastewater in the food industry is daily monitoring factor in effluent checking. Thus, the stakeholders in the food processing industry should always monitor and enhancements the process in order to improve the quality of wastewater in accordance with environmental quality standards.
Keywords: wastewater, Food Industry, ISM, Quality, Key factor
Citation: Rimantho D., dan Rosdiana H. (2017). Penentuan Faktor Kunci Peningkatan Kualitas Air Limbah Industri Makanan Menggunakan Interpretive Structural Modelling (ISM). Jurnal Ilmu Lingkungan, 15(2), 90-95 doi:10.14710/jil.15.2.90-9
Penentuan Faktor Kunci Peningkatan Kualitas Air Limbah Industri Makanan Menggunakan Interpretative Structural Modeling (ISM)
No full textIndustri makanan merupakan salah satu jenis industri manufaktur yang menggunakan berbagai sumber daya dalam operasionalnya dimana dalam prosesnya berpotensi menghasilkan air limbah yang mengandung berbagai senyawa yang dapat menurunkan kualitas lingkungan. Penelitian ini bertujuan untuk menentukan faktor kunci peningkatan kualitas air limbah di industri makanan. Pemilihan alternatif dan analisis strategi menggunakan metode Interpretative Structural Modelling (ISM), dimana metode ini menggunakan penilaian pakar dalam bentuk kuesioner dalam pengambilan datanya. Hasil penelitian menunjukkan bahwa terdapat empat faktor utama dalam upaya peningkatan kualitas air limbah seperti manusia, mesin, metode, material dan lingkungan. Lebih lanjut, berdasarkan hasil analisis dengan metode ISM diperoleh nilai dependent yang rendah dan nilai driver power yang tinggi, maka dapat diketahui faktor kunci dalam peningkatan kualitas air limbah di industri makanan yaitu faktor monitoring harian dalam pengecekan effluent. Sehingga, pemangku kepentingan di industri pengolahan makanan untuk senantiasa melakukan monitoring dan perbaikan proses dalam rangka peningkatan kualitas air limbah yang sesuai dengan baku mutu lingkungan.Kata kunci: Air limbah, Industri makanan, ISM, Kualitas, Faktor kunciABSTRACTThe food industry is one type of manufacturing industry that uses various resources in its operations. The processing process has the potential to produce wastewater containing various compounds that can reduce the quality of the environment. This study aims to determine the key factors to improve the quality of wastewater in the food industry. The selection of key factors is using Interpretative Structural Modeling (ISM) method. This method uses expert judgment in the form of questionnaires in the data retrieval. The results showed that there are four main factors in efforts to improve the quality of wastewater such as human, machine, method, material, and environment. Furthermore, based on ISM method analysis results obtained low dependent value and high power driver value, a key factor in improving the quality of wastewater in the food industry is daily monitoring factor in effluent checking. Thus, the stakeholders in the food processing industry should always monitor and enhancements the process in order to improve the quality of wastewater in accordance with environmental quality standards.Keywords: wastewater, Food Industry, ISM, Quality, Key factorCitation: Rimantho D., dan Rosdiana H. (2017). Penentuan Faktor Kunci Peningkatan Kualitas Air Limbah Industri Makanan Menggunakan Interpretive Structural Modelling (ISM). Jurnal Ilmu Lingkungan, 15(2), 90-95 doi:10.14710/jil.15.2.90-95</jats:p
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Scholarly Communication and Publishing Lunch and Learn Talk #11: The ULS Open Access Author Fee Fund
No full textAt the May 2014 talk, you will learn about the ULS Open Access Author Fee Fund--what it is, why we do it, how it works, and how the program is going so far
The R&D Tax Incentives
No full textThis article sets out some background information and reflections of the author on the R&D tax incentive schemes included in the Common Corporate Tax Base (CCTB) Proposal. In particular the author analyzes the stimulus to private R&D through ad hoc tax incentives included in the CCTB Proposal and dives into the actual provisions included in the Proposal highlighting the most relevant issues connected with their design and interpretation. Moreover, the author explores the interaction between the CCTB Proposal and the granting by Member States of domestic R&D tax incentives
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