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Evaluating investments in portability and interoperability between software service platforms
Haile, Netsanet,Altmann, Jö,rn North-Holland 2018 Future generations computer systems Vol.78 No.1
<P><B>Abstract</B></P> <P>Within a closed ecosystem, end-users cannot interoperate with other platforms or port their software and data easily without a cost for interface integration or data re-formatting. The customers of these closed software service platforms are locked-in. Potential customers, who are aware of this lock-in issue, are hesitant to adopt a closed software service platform, slowing down the wide deployment of the software service platform. This paper applies an economic perspective to investigate the value creation for providers and users at different levels of interoperability. For the analysis, a value creation model for software service platforms within a software service ecosystem has been developed. Simulations of the value creation model show that, even if investments in interoperability and portability are aimed at addressing user requirements, their impact also drives the providers’ profitability. Furthermore, emerging providers require investing more than market leading providers, as they have less power to set de facto standards. The simulation results also show that there is an optimal level of investments, with respect to profit and return on investments. Overall, from these results, platform providers cannot only obtain an understanding on how investments in interoperability and portability impact cost, enable cost-effective service integration, and create value, but also design new strategies for optimizing investments.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Design of a model for analyzing portability and interoperability of software service platforms. </LI> <LI> Simulation of the impact of interoperability and portability on provider revenue and user utility. </LI> <LI> Design of a method for evaluating investments in interoperability and portability of platforms. </LI> </UL> </P>
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Haile, Bezawit F.,Jin, D.W.,Yang, Beomjoo,Park, Solmoi,Lee, H.K. Elsevier 2019 Construction & building materials Vol.229 No.-
<P><B>Abstract</B></P> <P>Ultra-high-performance concrete (UHPC), a multi-level cementitious composite that has properties influenced by constituents existing at different length scales, requires the combination of different modeling strategies to capture and understand its effective property. A multi-level (six levels) micromechanics-based homogenization is proposed to investigate the elastic mechanical properties of UHPC. Molecular dynamics and micromechanical theories based on Eshelby’s inclusion model are adopted to investigate the effects of the properties of the various constituents, such as the fiber type, volume fraction, orientation, geometry, including the size and volume fraction of coarse aggregates on the elastic mechanical properties of UHPC. Experimental investigations incorporating a compressive strength test, scanning electron microscopy, and mercury intrusion porosimetry tests were conducted to validate the model. The proposed multi-level homogenization scheme is able to quantitatively prove the importance of each constituent and provide a modeling tool capable of facilitating a thorough investigation of the mechanical properties of UHPC.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A multi-level micromechanics based homogenization scheme is developed. </LI> <LI> A combined Molecular dynamics simulation and micromechanics models were adopted. </LI> <LI> Effects of fiber type, geometry, orientation and interface are parametrically studied. </LI> <LI> Compressive strength test, MIP and SEM analysis were conducted. </LI> <LI> Model input parameters were obtained from literature and the experimental program. </LI> </UL> </P>
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Transcriptome profiling of the coffee (C. arabica L.) seedlings under salt stress condition
Haile, Mesfin,Kang, Won Hee The Korean Society of Plant Biotechnology 2018 식물생명공학회지 Vol.45 No.1
This research was conducted to study the gene expression of coffee (Coffea arabica L.) seedlings under salt stress condition. A solution of five percent ($2.3dS\;m^{-1}$) deep sea water was used for the salt treatment, and it was thereby compared to normal irrigation water ($0.2dS\;m^{-1}$) used for the control treatment. The mRNA was extracted from the leaves of the coffee seedlings for a comprehensive analysis. In this study, a total of 19,581 genes were identified and aligned to the reference sequences available in the coffee genome database. The gene ontology analysis was performed to estimate the number of genes associated with the identified biological processes, cellular components and molecular functions. Among the 19,581 genes, 7369 (37.64%) were associated with biological processes, 5909 (30.18%) with cellular components, and 5325 (27.19%) with molecular functions. The remaining 978 (4.99%) genes were therefore grouped as unclassified. A differential gene expression analysis was performed using the DESeq2 package to identify the genes that were differentially expressed between the treatments based on fold changes and p-values. Namely, a total of 611 differentially expressed genes were identified (treatment/control) in that case. Among these, 336 genes were up-regulated while 275 of the genes were down-regulated. Of the differentially expressed genes, 60 genes showed statistically significant (p < 0.05) expression, 44 of which were up-regulated and 16 which were down-regulated. We also identified 11 differentially expressed transcription factor genes, 6 of which were up-regulated and rest 5 genes were down-regulated. The data generated from this study will help in the continued interest and understanding of the responses of coffee seedlings genes associated with salinity stress, in particular. This study will also provide important resources for further functional genomics studies.
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Transcriptome profiling of the coffee (C. arabica L.) seedlings under salt stress condition
Mesfin Haile,강원희 한국식물생명공학회 2018 JOURNAL OF PLANT BIOTECHNOLOGY Vol.45 No.1
This research was conducted to study the gene expression of coffee (Coffea arabica L.) seedlings under salt stress condition. A solution of five percent (2.3 dS m-1) deep sea water was used for the salt treatment, and it was thereby compared to normal irrigation water (0.2 dS m-1) used for the control treatment. The mRNA was extracted from the leaves of the coffee seedlings for a comprehensive analysis. In this study, a total of 19,581 genes were identified and aligned to the reference sequences available in the coffee genome database. The gene ontology analysis was performed to estimate the number of genes associated with the identified biological processes, cellular components and molecular functions. Among the 19,581 genes, 7369 (37.64%) were associated with biological processes, 5909 (30.18%) with cellular components, and 5325 (27.19%) with molecular functions. The remaining 978 (4.99%) genes were therefore grouped as unclassified. A differential gene expression analysis was performed using the DESeq2 package to identify the genes that were differentially expressed between the treatments based on fold changes and p-values. Namely, a total of 611 differentially expressed genes were identified (treatment/control) in that case. Among these, 336 genes were up-regulated while 275 of the genes were downregulated. Of the differentially expressed genes, 60 genes showed statistically significant (p < 0.05) expression, 44 of which were up-regulated and 16 which were down-regulated. We also identified 11 differentially expressed transcription factor genes, 6 of which were up-regulated and rest 5 genes were down-regulated. The data generated from this study will help in the continued interest and understanding of the responses of coffee seedlings genes associated with salinity stress, in particular. This study will also provide important resources for further functional genomics studies.
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Melaku Haile Likka,Yukio Kurihara 대한의료정보학회 2022 Healthcare Informatics Research Vol.28 No.1
Objectives: This study analyzed the effects of computerization of medical information systems and a hospital paymentscheme on medical care outcomes. Specifically, we examined the effects of Electronic Medical Records (EMRs) and a diagnosisprocedure combination/per-diem payment scheme (DPC/PDPS) on the average length of hospital stay (ALOS). Methods:Post-intervention changes in the monthly ALOS were measured using an interrupted time-series analysis. Results: The levelchanges observed in the monthly ALOS immediately post-DPC/PDPS were –1.942 (95% confidence interval [CI], –2.856 to–1.028), –1.885 (95% CI, –3.176 to –0.593), –1.581 (95% CI, –3.081 to –0.082) and –2.461 (95% CI, –3.817 to 1.105) days inall ages, <50, 50–64, and ≥65 years, respectively. During the post-DPC/PDPS period, trends of 0.107 (95% CI, 0.069 to 0.144),0.048 (95% CI, –0.006 to 0.101), 0.183 (95% CI, 0.122 to 0.245) and 0.110 (95% CI, 0.054 to 0.167) days/month, respectively,were observed. During the post-EMR period, trends of –0.053 (95% CI, –0.080 to –0.027), –0.093 (95% CI, –0.135 to –0.052),and –0.049 (95% CI, –0.087 to –0.012) days/month were seen for all ages, 50–64 and ≥65 years, respectively. Conclusions:The increasing post-DPC/PDPS trends offset the decline in ALOS observed immediately post-DPC/PDPS, and the observedALOS was longer than the counterfactual at the end of the DPC/PDPS study periods. Conversely, due to the downward trendseen after EMR introduction, the actual ALOS at the end of the EMR study period was shorter than the counterfactual, suggestingthat EMRs might be more effective than the DPC/PDPS in sustainably reducing the LOS.
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