966 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
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
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
Computational chemistry and molecular modeling : principles and applications / K.I. Ramachandran, G. Deepa, K. Namboori.
No full text"An exclusive URL (http://www.amrita.edu/cen/ccmm/) for this book with the required support materials has been provided for readers ..."--Preface.pharmacy bookfair2015Includes bibliographical references and index.xxi, 397 pages
Applications of ozone therapy in dentistry
No full textOzone is an allotropic form of oxygen, which is effectively used in the treatment of different diseases for more than 100 years. In the present era of increasing antibiotic resistance, ozone therapy is an alternative medical treatment that rationales to increase the amount of oxygen to the body through institution of ozone into the body. Owing to its beneficial biological properties including antimicrobial and immune-stimulating effects, ozone therapy has opened new vistas in treatment modalities of dental pathologies for patients of all ages. The objective of this article is to review the literature available on applications of ozone in dentistry
Micro-raman spectroscopy of caries lesion formation in dental enamel
No full textCaries lesions form by a complex process of chemical interactions between dental enamel and its environment. They can cause cavities and pain, and are expensive to fix. Lesions form by slow demineralization over many months, even years. It is hard to characterize in vivo as a result of environmental factors and remineralization by ions in the oral cavity. In this thesis the process of demineralization was carried out in vitro and micro-Raman spectroscopy used to investigate and characterize the lesion's chemistry. Demineralization occurs by diffusion across the depth of the lesion of mineral ions via interstitial spaces in the dental enamel. Hydroxyl ions are initially lost by acidic attack, which increases the interstitial space. The demineralization is retarded by diffusion processes in the opposite direction, and a balance in the charges of the ions must be maintained. Having multiple ions diffusing simultaneously is termed &amp;amp;#08220;coupled diffusion&amp;amp;#08221;. A subsurface highly demineralized region is formed, but this can be remineralized.
Micro-Raman spectroscopy is a powerful tool for studying material composition by exciting chemical bonds in the sample. Using micro-Raman to characterize the chemical composition of lesions may help in developing preventative measures to stop their formation. Raman (λ=785 nm) was used to characterize lesions grown over 5, 7, 9, 11 and 14 days. The amide I peak at ~1605 cm-1, which has not been observed previously, was seen in the maturing lesions. The extreme demineralization in these lesions enables the organic peaks to be seen rather than the normally stronger mineral peaks. Analysis of crystallinity shows that there is always a reduction in mineral content with distance below the enamel surface, but this becomes magnified as the lesion matures. Type B carbonate substitution for phosphate ions can also be examined with Raman. Correcting for crystallinity shows that both carbonate and phosphate ions are lost at the same rate during demineralization.
In summary, micro-Raman is an effective and relatively easy tool to use in lesion characterization. It also has the advantage that it can be used to identify changes in both the mineral and protein phases of enamel.M.S.Includes bibliographical references (p. 53-55)
Chalcone derivatives as potential antifungal agents: Synthesis, and antifungal activity
No full textMuch research has been carried out with the aim to discover the therapeutic values of chalcone derivatives. Chalcones possess wide range of pharmacological activity such as antibacterial, antimalarial, antiprotozoal, antitubercular, anticancer, and antifungal agents etc. The presence of reactive α,β-unsaturated keto group in chalcones is found to be responsible for their biological activity. The rapid developments of resistance to antifungal agents, led to design, and synthesize the new antifungal agents. The derivatives of chalcones were prepared using Claisen-Schmidt condensation scheme with appropriate tetralone and aldehyde derivatives. Ten derivatives were synthesized and were biologically screened for antifungal activity. The newly synthesized derivatives of chalcone showed antifungal activity against fungal species, Microsporum gypseum. The results so obtained were superior or comparable to ketoconazole. It was observed that none of the compounds tested showed positive results for fungi Candida albicans nor against fungi Aspergillus niger. Chalcone derivatives showed inhibitory effect against M. gypseum species of fungus. It was found that among the chalcone derivatives so synthesized, two of them, that is, 4-chloro derivative, and unsubstituted derivative of chalcone showed antifungal activity superior to ketoconazole. Thus, these can be the potential new molecule as antifungal agent
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