3,614 research outputs found
POS-based Reordering Models for Statistical Machine Translation
No full textWe present a novel word reordering model for phrase-based statistical machine translation suited to cope with long-span word movements.
In particular, reordering of nouns, verbs and adjectives is modeled by taking into account target-to-source word alignments and
the distances between source as well as target words. The proposed model was applied as a set of additional feature functions to re-score
N-best translation candidates generated by a statistical machine translation system featuring state-of-the-art lexicalized reordering models.
Experiments showed relative BLEU score improvement up to 7.3% on the BTEC Japanese-to-English task, and up to 1.1% on the
Europarl German-to-English task
sj-docx-1-jicm-10.1177_08850666211067509 - Supplemental material for Association of Surge Conditions with Mortality Among Critically Ill Patients with COVID-19
No full textSupplemental material, sj-docx-1-jicm-10.1177_08850666211067509 for Association of Surge Conditions with Mortality Among Critically Ill Patients with COVID-19 by Adam B. Keene, Andrew J. Admon, Samantha K. Brenner, Shruti Gupta, Deepa Lazarous, David E. Leaf, Hayley B. Gershengorn and in Journal of Intensive Care Medicine</p
Sensitivity analysis of reliability constrained, eco optimal solar, wind, hydrogen storage based islanded power system
No full textAbstract The global energy expansion strategy has incorporated islanded renewable energy-based power generation systems to electrify remote communities. The development of these renewable energy systems (RES) decreases grid dependency and operational costs. Solar photovoltaic power stations (SPPS) and wind-driven power stations (WDPS) are commonly employed technologies in isolated power systems. However, their intermittent nature poses dependability obstacles. Therefore, the incorporation of storage technology is essential to enhance reliability. This paper presents a sensitivity analysis to determine the optimal, reliable, and cost-effective sizing of a SPPS, WDPS, and hydrogen storage systems (HSS) based power system for case study of Jaisalmer, India. The ideal dimensions of each component are determined in two different cases, each having a unique objective function. The optimal sizing is attained through a metaheuristic optimization method called Butterfly-PSO. Reliability assessment is carried out using Monte Carlo Simulation (MCS) and two key reliability indices, namely ENS and LOLE are taken under analysis. Sensitivity analyses are performed to examine the effects of incorporating or excluding RES and storage elements on system reliability and cost-efficiency. The findings presents that increasing SPPS capacity by one unit changes around LOLE by 13%, ENS by 14%, and LCOE/TLCC by 1%. Varying WDPS capacity changes LOLE by 16%, ENS by 19%, TLCC by 3.3%, and LCOE by 1.4%. Adjusting HSS tank size by one unit affects LOLE by 2%, ENS by 2.6%, and TLCC/LCOE by 0.02%. Case 1 (Min TLCC) offers a more reliable and cost-effective solution than Case 2
Data for Gupta et al., "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air", JGR:Atmospheres,
No full textModel data and post-processed data supporting the creation of the manuscript "Estimating the Meridional Extent of Adiabatic Mixing in the Stratosphere using Age-of-Air" submitted to JGR:Atmospheres in August 2022.
1) The netCDF files created through post-processing of full model data in FORTRAN are shared in the /data/ directory. These file contains the zonal mean circulation statistics based on Gupta et al. (2020), age-of-air transport diagnostics based on Linz et al. (2021), and the novel \Gamma-\Theta circulation streamfunction introduced in this study. The /data/ directory also contains MATLAB .mat data files for the transport diagnostics obtained from WACCM. 150 days of actual GFDL-FV3 model data in the northern hemisphere, between 0.1 hPa-500 hPa pressure levels is also provided to support external computations and validation.
2) The Jupyter notebook used for final computation and figures production is provided in .ipynb, .html and .pdf formats in /code/. All the files referred to in the notebook are stored in the /data/ directory.
Corresponding author : Aman Gupta, [email protected], [email protected], [email protected]
Corrigendum: Capital Inflows and House Prices: Aggregate and Regional Evidence from China
No full textIn the paper ‘Capital Inflows and House Prices: Aggregate and Regional Evidence from China’ by H. An, et al., printed in the December 2016 issue, there was a missing acknowledgement section for funding resources.
On page 451, the acknowledgement section should appear after the corresponding information as:
“Correspondence: Rakesh Gupta, Department of Accounting, Finance and Economics, Griffith Business School, Griffith University, Nathan Campus QLD 4111. [email protected]
*This work was financially supported by the Humanities and Social Science Foundation of Ministry of Education of China (16YJA790001).”
The author apologises for this error and any confusion it may have caused.No Full Tex
Plagiarism detection in text documents using sentence bounded stop word N-grams
No full textWith the evolution of technologies like internet search engines and improved text editors, plagiarism has become a critical issue. Many works are already available in verbatim plagiarism detection which is a type of simple copy and paste plagiarism but when it comes to intelligent plagiarism the scenario becomes more complex. Intelligent plagiarism includes plagiarism through idea adoption, translation and text manipulations which is more challenging to deal with. The paper makes an attempt to detect intelligent plagiarism using the structural information within the document. This is done by the extraction of stop words, in contrast to the other methods that usually rely upon content words. The proposed method enhances this existing idea by including the rough sentence boundaries along with stop word profiles. Further this method is extended using the part of speech tags and finally the system is evaluated using sample documents from PAN- 2010 data set. The results are compared with the baseline approach and performance is evaluated based on standard PAN measures
Assessment of high-sensitivity C-reactive protein values in chronic periodontitis patients with and without cardiovascular disease: A cross-sectional study
No full textBackground: Periodontal disease is characterized by inflammation and destruction of supporting tissues of the affected teeth. Pro-inflammatory cytokines originating at the site of local pathology activate hepatocytes to produce acute-phase proteins including C-reactive protein (CRP). Numerous cross-sectional studies have suggested that chronic periodontitis is a risk factor for cardiovascular disease (CVD) linked by inflammatory factors including CRP.
Materials and Methods: A total of forty patients, twenty with chronic periodontitis only with no CVD (Group A) and twenty with CVD and chronic periodontitis (Group B), were selected for the study. Clinical parameters including gingival index (GI), plaque index, gingival bleeding index, Pocket probing depth (PD), and clinical attachment level (CAL) were recorded. In addition, high-sensitivity CRP (hsCRP) levels were measured from the peripheral blood using turbidimetric immunoassay technique.
Results: As compared to the patients in Group A, those in Group B had more severe periodontitis with greater CAL (6.02 ± 0.53 mm vs. 6.63 ± 0.85 mm, P = 0.009), probing pocket depth (PPD) (5.20 ± 0.31 mm vs. 5.73 ± 0.52 mm, P < 0.001), and GI score (2.25 ± 0.51 vs. 2.65 ± 0.76, P = 0.06). Group B patients also had significantly higher hsCRP levels (12.3 ± 8.84 mg/L vs. 2.28 ± 0.38 mg/L; P < 0.001). The hsCRP levels had a significant positive correlation with PPD and GI. Multivariate regression analysis showed that the presence of CVD was independently associated with elevated hsCRP levels in the study population.
Conclusion: The present study shows that CVD is associated with more severe periodontitis which is reflected in higher hsCRP levels. In addition, elevated hsCRP showed an independent association with CVD, incremental to various periodontitis measures. These findings suggest that periodontitis may add to the inflammation burden of the individual, which may potentially increase inflammatory activity in atherosclerotic lesions and thus the risk for cardiovascular events
First person – Akash Gupta
No full textFirst Person is a series of interviews with the first authors of a selection of papers published in Biology Open, helping early-career researchers promote themselves alongside their papers. Akash Gupta is first author on ‘A novel and cost-effective ex vivo orthotopic model for the study of human breast cancer in mouse mammary gland organ culture’, published in BiO. Akash conducted the research described in this article while a PhD Scholar in Rajendra Mehta's lab at IIT Research Institute, Chicago, USA. He is now an assistant research scientist in the lab of Syreeta L. Tilghman at the University of Arizona, Department of Medicine, Tucson, USA, investigating drug efficacy modeling using human organoids culture for the treatment of cancers
Performance and Characterization of Bimetallic Joints through Conventional and Non-Coventional Welding Processes
No full textThe purpose of this work is to study the performance of bimetallic joint processed through conventional (TIG welding) and non -conventional technique (microwave energy). The hot corrosion behaviour of the samples was also studied in simulated (40% Na2SO4-40% K2SO4-1O%Nacl-10%KCl) as well as in the actual environment of the boiler. Characterization of joints was done by XRD, SEM-EDS. Tensile testing and Vickers micro hardness were carried out. Tensile strength and micro hardness value of the microwave processed sample have a higher value as compared to the TIG welded sample. In a simulated environment of the boiler, 25 cycles were performed in a laboratory furnace at a temperature of 750℃. Each cycle is of 1 h 20 min in which 1 h is of heating duration and 20 min is of cooling at room temperature. Weight of the samples was noted down after each cycle. Study of hot corrosion in the actual environment is performed in a husk fired boiler power plant working at Nectar Pvt.Ltd., Dera bassi, Chandigarh. XRD, SEM-EDS and X-Ray mapping were used to characterize the product of corrosion. The results show that microwave welded joints performed better in both simulated and actual boiler environment. Although the surface oxide formed on both the cases were porous. However, XRD analysis revealed the formation of sulphides, which cause the sulphidation reaction leading to catastrophic failure of weld joints of the TIG welded samples
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