105,741 research outputs found
H-Prop and H-Prop-News: Computational Propaganda Datasets in Hindi
In this digital era, people rely on the internet for their news consumption. As people are free to express their opinions on social media, much information shared on the internet is loaded with propaganda. Propagandist contents are intended to influence public opinion. In the mainstream media or prominent news agencies, the authors’ and news agencies’ own bias may impact in the news contents. Hence, it is required to detect such propaganda spread through news articles. Detection and classification of propagandist text require standard, high-quality, annotated datasets. A few datasets are available for propaganda classification. However, these datasets are mostly in English. Hindi is the most spoken language in India, and efforts are needed to detect its propagandist contents. This research work introduces two new datasets: H-Prop and H-Prop-News, which consist of news articles in Hindi annotated as propaganda or non-propaganda. The H-Prop dataset is generated by translating 28,630 news articles from the QProp dataset. The H-Prop-News dataset contains 5500 news articles collected from 32 prominent Hindi news websites. We experiment with the proposed datasets using four supervised machine learning models combined with different feature vectors and word embeddings. Our experiments achieve 87% accuracy using Logistic Regression with TF-IDF feature vectors. The datasets provide high-quality labeled news articles in Hindi and open new avenues for researchers to explore techniques for analyzing and classifying propaganda in Hindi text
Fluid-melt partitioning of sulfur in differentiated arc magmas and the sulfur yield of explosive volcanic eruptions
The fluid-melt partitioning of sulfur (DSfluid/melt) in differentiated arc magmas has been experimentally investigated under oxidizing conditions (Re-ReO2 buffer) from 800 to 950°C at 200MPa. The starting glasses ranged in composition from trachyte to rhyolite and were synthesized targeting the composition of the residual melt formed after 10-60% crystallization of originally trachy-andesitic, dacitic and rhyodacitic magmas (Masotta and Keppler, 2015). Fluid compositions were determined both by mass balance and by Raman spectroscopy of fluid inclusions. DSfluid/melt increases exponentially with increasing melt differentiation, ranging from 2 to 15 in the trachytic melt, from 20 to 100 in the dacitic and rhyodacitic melts and from 100 to 120 in the rhyolitic melt. The variation of the DSfluid/melt is entirely controlled by the compositional variation of the silicate melt, with temperature having at most a minor effect within the range investigated. Experiments from this study were used together with data from the literature to calibrate the following model that allows predicting DSfluid/melt for oxidized arc magmas: lnDSfluid/melt=9.2-31.4·nbot-1.8·ASI-29.5·Al#+4.2·Ca#where nbot is the non-bridging oxygen atoms per tetrahedron, ASI is the alumina saturation index, Al# and Ca# are two empirical compositional parameters calculated in molar units (Al#=XAl2O3XSiO2+XTiO2+XAl2O3 and Ca#=XCaOXNa2O+XK2O).The interplay between fluid-melt partitioning and anhydrite solubility determines the sulfur distribution among anhydrite, melt and fluid. At increasing melt polymerization, the exponential increase of the partition coefficient and the decrease of anhydrite solubility favor the accumulation of sulfur either in the fluid phase or as anhydrite. On the other hand, the higher anhydrite solubility and lower partition coefficient for less polymerized melts favor the retention of sulfur in the melt. At equilibrium conditions, these effects yield a maximum of the sulfur fraction in the fluid phase for slightly depolymerized melts (nbot= 0.05-0.15). Our data allow quantitative predictions of the sulfur yield of explosive volcanic eruptions over a wide range of magma compositions
Nanoplates as High‐Performance Anode Material for Li‐Ion Batteries
Ternary spinal NiCo<inf>2</inf>O<inf>4</inf> nanostructure holds great promise as high-performance anode material for next generation Li-ion batteries because of its higher electrical conductivity and electrochemical activity. In this work, two-dimensional hexagonal NiCo<inf>2</inf>O<inf>4</inf> nanoplates are synthesized by a simple and cost-effective template-free method through co-precipitation decomposition route using sodium hydroxide as the precipitant followed by annealing in air at 400°C for 2 h. Various characterization methods prove that hexagonal NiCo<inf>2</inf>O<inf>4</inf> nanoplates are successfully synthesized by this process and have high amount of mesopores on its surface. The electrochemical study of these hexagonal NiCo<inf>2</inf>O<inf>4</inf> nanoplates as Li-ion battery anode shows that the highly mesoporous nanoplate morphology plays an important role in cycling stability and rate capability. As a result, the hexagonal NiCo<inf>2</inf>O<inf>4</inf> exhibits a high reversible charge capacity of 918 mAh/g at a current density of 60 mA/g (0.06 C) with excellent capacity retention of 92% up to 50 charge-discharge cycles. © 2015 Korean Chemical Society & Wiley-VCH Verlag GmbH & Co. KGaA.
Characterization and bio-chemical synthesis of Gd3+rare metal Complex with benzoxazole derivative
Abstract: The grouping of some rare metal ions with an significant 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide (BSPA) ligand to form coordination compounds is an important area of present research. Less explored biologically important 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide ligand is allowed to react with solution of some rare metal perchlorates and attempt has been made to synthesize solid 2-(1,3-benzoxazole -2-yl- sulfanyl )-N-phenyl acetamide complexes. These 2-(1,3-benzoxazole-2-yl-sulfanyl )-N-phenyl acetamide complex are subjected to U.V Visible Spectroscopy, IR Spectroscopy, TGA Analysis, elemental analysis of these complex has been evaluated by standard methods and attempts have been made to correlate structural characteristics with properties of these 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide complex.
Keywords: Spectroscopic analysis, characterization, 2-(1,3-Benzoxazole-2-yl-sulfanyl)-N-phenyl acetamide(BSPA) complex.
Title: Characterization and bio-chemical synthesis of Gd3+rare metal Complex with benzoxazole derivative
Author: Dr. Haresh R.Patel, Dr. H. D. Chaudhari
International Journal of Life Sciences Research
ISSN 2348-313X (Print), ISSN 2348-3148 (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 27-34
Research Publish Journals
Website: www.researchpublish.com
Published Date: 03-November-2022
DOI: https://doi.org/10.5281/zenodo.7276919
Paper Download Link (Source)
https://www.researchpublish.com/papers/characterization-and-bio-chemical-synthesis-of-gd3rare-metal-complex-with-benzoxazole-derivativeInternational Journal of Life Sciences Research, ISSN 2348-313X (Print), ISSN 2348-3148 (online), Research Publish Journals, Website: www.researchpublish.co
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Thermal effect on brittle-ductile transition in CaF <inf>2</inf> single crystals
Proceedings of the 17th International Conference of the European Society for Precision Engineering and Nanotechnology, EUSPEN 2017283-28
DEEP RELAXATION OF CONTROLLED STOCHASTIC GRADIENT DESCENT VIA SINGULAR PERTURBATIONS
We consider a singularly perturbed system of stochastic differential equations proposed by Chaudhari et al. (Res. Math. Sci. 2018) to approximate the entropic gradient descent in the optimization of deep neural networks via homogenization. We embed it in a much larger class of two-scale stochastic control problems and rely on convergence results for Hamilton--Jacobi--Bellman equations with unbounded data proved recently by ourselves (ESAIM Control Optim. Calc. Var. 2023). We show that the limit of the value functions is itself the value function of an effective control problem with extended controls and that the trajectories of the perturbed system converge in a suitable sense to the trajectories of the limiting effective control system. These rigorous results improve the understanding of the convergence of the algorithms used by Chaudhari et al., as well as of their possible extensions where some tuning parameters are modeled as dynamic controls
Antimicrobial and Chemical kinetic studies of Sm3+ rare metal Complex with Benzoxazol derivative
Abstract: The mixture of some rare metal ions with an important 2-(1,3-Benzoxazole -2-yl - sulfanyl)-N-phenyl acetamide (BSPA) ligand to form coordination complex is an important area of current research. Less explored biologically important 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide ligand is allowed to react with solution of some rare metal perchlorate and attempt has been made to synthesize solid 2-(1,3-benzoxazole -2-yl- sulfanyl )-N-phenyl acetamide complex. These 2-(1,3-benzoxazole-2-yl-sulfanyl)-N-phenyl acetamide complex are subjected to antimicrobial activity of these complex has been evaluated by standard methods and attempts have been made to correlate structural characteristics with properties of these 2-(1,3-benzoxazole -2-yl - sulfanyl )-N-phenyl acetamide complex.
Keywords: 2-(1,3-Benzoxazole-2-yl-sulfanyl)-N-phenyl acetamide(BSPA) complex, chemical kinetics, catalysis, antibacterial activity, antifungal activity.
Title: Antimicrobial and Chemical kinetic studies of Sm3+ rare metal Complex with Benzoxazol derivative
Author: Dr. H. D. Chaudhari, Dr. Haresh R. Patel
International Journal of Life Sciences Research
ISSN 2348-313X (Print), ISSN 2348-3148 (online)
Vol. 10, Issue 4, October 2022 - December 2022
Page No: 35-40
Research Publish Journals
Website: www.researchpublish.com
Published Date: 09-November-2022
DOI: https://doi.org/10.5281/zenodo.7307555
Paper Download Link (Source)
https://www.researchpublish.com/papers/antimicrobial-and-chemical-kinetic-studies-of-sm3-rare-metal-complex-with-benzoxazol-derivativeInternational Journal of Life Sciences Research, ISSN 2348-313X (Print), ISSN 2348-3148 (online), Research Publish Journals, Website: www.researchpublish.co
Dispelling the Myths Behind First-author Citation Counts
We 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
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