jablonkagroup/rise_ai_scientists huggingface dataset:
Authors: S. P. Singh | Jitendra Sharma | Ujjwaldeep Krishna Gupta Manabendra Saha
Source: International Journal of Trend in Scientific Research and Development (article, 2019-06-11)
Field: Materials Science — General Materials Science

Development and Optimization of Process Parameters of Microwaved Cured Polymer Based Natural Fibre Coir Reinforced Composite Now a days the processing of natural Fibre reinforced polymer composite through microwave curing going on a fortunate steps for better properties. It has been observed that the application of NFRPC is increasing day to day. Due to their low cost and light weight that type of composite is applying at various light load capacity areas. Processing of NFRPC depends on a large no factors. Due to practical constraint 3 domen parameters were considered during experimental investigation. The value of the parameter were selected on the basis of material characteristics and experimental available in the Laboratory. Design of Experiment were used for planning the experiments. Optimum process parameter were determined for improvement ultimate tensile strength. The selection of optimum parameter was assured by mechanical testing as well as microscopic structure. Processing of composite by using optimized parameters resulted in improvement in tensile strength by 3 %. The ANOVA table was prepared and table was shown Curing Time is one of the main crucial parameter which affects the composite processing. Coir ; Composite number ; Composite material ; Materials science ; Process (computing) ; Process engineering ; Pulp and paper industry ; Computer science ; Engineering ; Operating system Material Properties and Applications
Authors: Saurabh Puri | Amit Pandey
Source: JOM (article, 2019-09-16)
Field: Materials Science — Materials Chemistry

Mesoscale Materials Science: Experiments and Modeling Mesoscale meteorology ; Environmental science ; Meteorology ; Climatology ; Engineering physics ; Atmospheric sciences ; Geology ; Engineering ; Geography Electronic and Structural Properties of Oxides ; Diamond and Carbon-based Materials Research ; Advancements in Solid Oxide Fuel Cells
Authors: T. R. Gilmanshina | С. И. Лыткина | S. A. Khudonogov | I. E. Illarionov
Source: CIS Iron and Steel Review (article, 2019-12-20)
Field: Materials Science — Materials Chemistry

Development of the conditional activation criterion to evaluate graphite activity This paper is aimed at developing an integrated criterion used to evaluate not only the quality of materials, but also the effect of the material preparation method on the activity of the particles. We studied cryptocrystalline graphite in natural and mechanically activated states from the Kureisckoe deposit. Graphite was activated in a planetary centrifugal mill at Mamina Laboratory of Disperse and Nanostructured, Solid, Viscous and Colloid Materials of Siberian Federal University. In the course of the studies, the authors proposed an empirical criterion based on differential scanning calorimetry to evaluate the energy saturation of filling components for non-stick coatings based on activated cryptocrystalline graphite &mdash; the conditional activation criterion. The calculated dependence of this criterion on the activation time proved data earlier obtained: the most optimum graphite activation time in the planetary centrifugal mill is 20 minutes. Statistics ; Mathematics ; Econometrics ; Computer science Graphite, nuclear technology, radiation studies
Authors: Ajitanshu Vedrtnam
Source: MOJ Civil Engineering (article, 2019-01-01)
Field: Materials Science — Materials Chemistry

Optimizing machining processes used for high chromium steel End milling (EM) and electric discharge machining (EDM) are frequently used for machining high chromium steel. The superior surface finish is among the key requirements for the improved functional behavior, wear resistance, and fatigue life high chromium steel components. The present work includes optimization of EM (using Taguchi method) and EDM processes (by selecting appropriate electrode) for machining of the high chromium steel keeping high material removal rate (MRR) and superior surface finish as the objectives. Additionally, the effect of coolant on surface roughness was evaluated. For EM, the feed rate was found the most influential parameter and the high spindle speed, small feed rate result-in better surface finish whereas the depth of cut has the insignificant effect on the surface roughness for the selected rages of process parameters. The scanning electron microscope (SEM) micrographs revealed that flood cooling decreases the surface defects and mostly high chromium steel samples were having a lower surface roughness when coolant was used. For EDM, the brass electrode results in a superior surface finish but a lesser MRR than the copper electrode while machining high chromium steel. Chromium ; Machining ; Metallurgy ; Materials science ; Manufacturing engineering ; Engineering Metal Alloys Wear and Properties ; Engineering Technology and Methodologies ; Advanced machining processes and optimization
Authors: Branka Zorc | Zrinka Rajić | Ivana Perković
Source: Acta Pharmaceutica (article, 2019-10-21)
Field: Chemistry — Organic Chemistry

Antiproliferative evaluation of various aminoquinoline derivatives Four classes of aminoquinoline derivatives were prepared: primaquine ureas 1a-f, primaquine bis-ureas 2a-f, chloroquine fumardiamides 3a-f and mefloquine fumardiamides 4a-f. Their antiproliferative activities against breast adeno-carcinoma (MCF-7), lung carcinoma (H460) and colon carcinoma (HCT 116 and SW620) cell lines were evaluated in vitro, using MTT cell proliferation assay. The results revealed a low activity of primaquine urea and bis-urea derivatives and high activity of all fumardiamides, with IC50 values in low micromolar range against all tested cancer cell lines. Chemistry ; Pharmacology ; Biology Synthesis and biological activity ; Bioactive Compounds and Antitumor Agents ; Synthesis of heterocyclic compounds
Authors: Carl Troein | Syahril Siregar | Michiel Op De Beeck | Carsten Peterson | Anders Tunlid | Per Persson
Source: bioRxiv (Cold Spring Harbor Laboratory) (preprint, 2019-12-18)
Field: Chemistry — Analytical Chemistry

OCTAVVS: A graphical toolbox for high-throughput preprocessing and analysis of vibrational spectroscopy imaging data Abstract Modern vibrational spectroscopy techniques enable rapid collection of thousands of spectra in a single hyperspectral image, allowing researchers to resolve spatially heterogeneous samples down to a resolution of a few μ m. A number of algorithms have been developed to correct for effects such as atmospheric absorption, light scattering by cellular structures and varying baseline levels. Following such preprocessing, spectra are commonly decomposed and clustered to reveal informative patterns and subtle spectral changes. Several of these steps are slow, labor-intensive and require programming skills to make use of published algorithms and code. We here present a free and platform-independent graphical toolbox that allows rapid processing of large sets of spectroscopic images, including atmospheric correction and an algorithm for resonant Mie scattering with improved speed and stability. The software includes modules for decomposition into constituent spectra using the popular MCR-ALS algorithm, augmented by region-of-interest selection, as well as clustering and cluster annotation. Hyperspectral imaging ; Preprocessor ; Toolbox ; Computer science ; Cluster analysis ; Software ; Decomposition ; Throughput ; Algorithm ; Computational science ; Artificial intelligence ; Pattern recognition (psychology) ; Chemistry Spectroscopy and Chemometric Analyses ; Spectroscopy Techniques in Biomedical and Chemical Research ; Metabolomics and Mass Spectrometry Studies
Authors: Norma Alias | Riadh Sahnoun | Nur Fatin
Source: International Journal of Advanced Computer Science and Applications (article, 2019-01-01)
Field: Materials Science — Materials Chemistry

On the Prediction of Properties of Benzene using MP4 Method Executed on High Performance Computing with Heterogeneous Platform High computational complexity problem, high computational cost and deal with a big data are the motivation to study the physical and chemical properties of benzene. Based on the limitation of memory system, processor speed and huge time step computation, we propose the implementation of parallel Gaussian suites of program, particularly the program dealing with high order Møller–Plesset perturbation theory, on high performance homogeneous computing platform (HPC) for predicting the physical and chemical properties of small to medium size molecules, such as benzene, the subject of the present work. Besides high accuracy of the geometrical parameters that can be offered by MP4 simulation, orbital shapes, HOMO-LUMO energy gaps and spectral properties of the molecule are among the properties that can be obtained with accurate prediction. In order to achieve high performance indicators, we need to execute the program in multiple instruction and data stream (MIMD) paradigm using homogenous processors architecture. At the end of this paper, it is shown that Parallel algorithm of Gaussian program using the Linda software can be executed and is well suited in both homogenous and heterogeneous processors. The performance evaluation is essentially based on run time, temporal performance, effectiveness, efficiency, and speedup. Computer science ; Speedup ; Parallel computing ; Supercomputer ; Computation ; MIMD ; Computational science ; Gaussian ; Computer engineering ; Theoretical computer science ; Algorithm Machine Learning in Materials Science ; Computational Drug Discovery Methods ; Cloud Computing and Resource Management
Authors: Chai Hua Tay | Norkhairunnisa Mazlan
Source: International Journal of Recent Technology and Engineering (IJRTE) (article, 2019-08-27)
Field: Materials Science — Polymers and Plastics

Correlation between Flexural and Compressive Properties of Kenaf/Epoxy Composite filled with Mesoporous Silica This research investigates the relationship between flexural and compressive properties of kenaf/epoxy composite filled with mesoporous silica, through regression analysis. EpoxAmite® 100 Epoxy and 103 Hardener were used as matrix, modified by constant volume of silicon, different percentage of mesoporous silica, and reinforced with constant volume of kenaf mat. Three pointer bend fixture and compression test were conducted and the data were used for regression analysis. Flexural test revealed that inclusion of 5vol% mesoporous silica and 3vol% silicon into 7.2Vol% K/Ep resulted in the highest flexural strength, while the highest flexural modulus is achieved at 3vol% SiaK/Ep. Compressive strength and compressive modulus are both the highest at 1vol% SiaK/Ep-Si. Good correlations were established when kenaf is used as single independent variable to predict compressive modulus of the composites produced. On the other hand, poor correlation is obtained when silicon and mesoporous silica are used as the two independent variables in predicting flexural strength, flexural modulus, compressive strength and compressive modulus. When kenaf is included as the third independent variable (together with silicon and mesoporous silica) in predicting the four results, correlation is found to improve tremendously. However, all four multivariate regression relationships established between flexural and compressive data results in an average value ranging from 0.5 to 0.6 Flexural strength ; Materials science ; Composite material ; Compressive strength ; Flexural modulus ; Composite number ; Epoxy Natural Fiber Reinforced Composites ; Structural Behavior of Reinforced Concrete ; Mechanical Engineering and Vibrations Research
Authors: Shane Keniley | Davide Curreli
Source: Journal of Computational Physics (preprint, 2019-09-30)
Field: Materials Science — Materials Chemistry

Density estimation techniques for multiscale coupling of kinetic models of the plasma material interface Plasma ; Debye sheath ; Gaussian ; Kinetic energy ; Statistical physics ; Computational physics ; Mechanics ; Materials science ; Physics ; Classical mechanics Fusion materials and technologies ; Gas Dynamics and Kinetic Theory ; Laser-Plasma Interactions and Diagnostics
Authors: Kaiyue Wang | Xiaoyan Sun | Shuguang Xiang | Yushi Chen
Source: Processes (article, 2019-12-03)
Field: Chemistry — Spectroscopy

Development of New Algorithm for Aniline Point Estimation of Petroleum Fraction The aniline point (AP) is an important physical property of a petroleum fraction. The AP gives an indication of the aromatic hydrocarbon content in a hydrocarbon mixture and can also be an indicator of the ignition point of a diesel fraction. In this study, common estimation methods were introduced and evaluated, and their limitations were analyzed. Multiple linear regression was used in constructing a quantitative function to solve for the AP using the average boiling point and specific gravity. The iterative modification algorithm of the ternary interaction algorithm was used to obtain the predicted value of the petroleum fraction AP, and the proposed algorithm was tested using 127 actual petroleum fractions. The average estimation deviation of the proposed method was 3.55%; hence, compared to the commonly used estimation methods, the prediction accuracy was significantly improved. This method offers important practical value in the calculation of the petroleum fraction AP and other petroleum fraction properties, thereby providing reference significance. Fraction (chemistry) ; Boiling point ; Petroleum ; Hydrocarbon ; Liquefied petroleum gas ; Mathematics ; Ternary operation ; Computer science ; Algorithm ; Petroleum engineering ; Biological system ; Chemistry ; Geology ; Chromatography ; Organic chemistry Analytical Chemistry and Chromatography ; Chemical Thermodynamics and Molecular Structure ; Mass Spectrometry Techniques and Applications
Authors: В Г Шрам | Е Д Агафонов | A V Lysyannikov | N N Lysyannikova | А В Егоров | Yu F Kaizer
Source: IOP Conference Series Earth and Environmental Science (article, 2019-08-01)
Field: Chemistry — Analytical Chemistry

Identification of qualitative regularities in the functioning of neural network models of a critical resource of lubricating oils In the present work, it is proposed to compare two approaches to building a model of a critical resource of lubricating oils that describe the rate of change in the optical density of oils with time, depending on the duration and temperature of temperature control. The initial data for building models of a critical resource are the results of measurements of the optical density of oils. The data obtained as a result of experiments are processed using a neural network model with Bayesian regularization, which has high smoothness and works well in conditions of small training samples. In this case, emphasis is placed on the ability of the model to contribute to the mapping of the general laws governing the process of thermo-oxidative destruction for more detailed study. As a result, the approach in which the initial data for the model are calculated values of the differential estimates of the partial derivative obtained from the primary neural network model of optical density is more informative from the point of view of describing the qualitative patterns observed in lubricating oil under high temperatures. Smoothness ; Artificial neural network ; Resource (disambiguation) ; Regularization (linguistics) ; Computer science ; Identification (biology) ; Process (computing) ; Bayesian probability ; Work (physics) ; Applied mathematics ; Biological system ; Artificial intelligence ; Mathematics ; Thermodynamics ; Physics ; Mathematical analysis Spectroscopy and Chemometric Analyses ; Petroleum Processing and Analysis ; Engineering Diagnostics and Reliability
Authors: Peter Moeck | Andrew Dempsey | Connor Shu
Source: Microscopy and Microanalysis (article, 2019-08-01)
Field: Materials Science — Materials Chemistry

Information theory based crystallographic symmetry classifications of a noisy 2D periodic scanning tunneling microscope image Scanning tunneling microscope ; Symmetry (geometry) ; Image (mathematics) ; Materials science ; Crystallography ; Microscope ; Crystallographic point group ; Microscopy ; Optics ; Condensed matter physics ; Physics ; Chemistry ; Nanotechnology ; Mathematics ; Computer vision ; Computer science ; Geometry ; Crystal structure X-ray Diffraction in Crystallography ; Advanced Electron Microscopy Techniques and Applications ; Force Microscopy Techniques and Applications
Authors: I. Ebaido | Hossein Meabed
Source: Egyptian Journal of Agricultural Sciences /Egyptian Journal of Agricultural Sciences (article, 2019-04-01)
Field: Materials Science — Polymers and Plastics

PREDICTING YARN QUALITY PROPERTIES VIA OVERCOMING THE MULTICOLLINEARITY OF COTTON FIBER PROPERTIES When predicting yarn quality properties, the collinearity or common variance of cotton fiber characteristics as predictors, result in unreal regression models. The approach of this study is using Principle Component Analysis (PCA) to avoid this issue by extracting independent factors in their effect from each other summarizes cotton fiber properties. Four lint cotton grades of five of Egyptian cotton varieties belong to Extra-long (Giza 88 and Giza 92) and Long staple (Giza 86, Giza 90 and Giza 95) classes used to perform fiber tests. Cotton Classification System (CCS-V 5.3 ) used to measure cotton fiber characteristics as predictors. Yarn strength in terms of Lea product, single yarn strength and yarn unevenness of Ne 40 and 60 counts of ring spun yarns were the dependent variables. The results showed significant intercorrelations matrix among CCS measurements. The initial solution extracted only three factors that have eigenvalues more than 1.00. These 3 factors accounted for 89.716 % of the common variance shared by all measurements. The communalities or % variance in each cotton fiber measurement of CCS accounted for by the three factors was not the same. The 3 factors as predictors could predict yarn quality characteristics significantly, and with high contributions (% R 2 ). But % R 2 valued less than that of ordinary regression models. This audit is a satisfactory improvement to predict yarn quality characteristics from cotton fiber properties accurately. Multicollinearity ; Yarn ; Fiber ; Quality (philosophy) ; Materials science ; Environmental science ; Composite material ; Mathematics ; Statistics ; Regression analysis ; Physics Textile materials and evaluations ; Industrial Vision Systems and Defect Detection ; Dyeing and Modifying Textile Fibers
Authors: Beth A. Caine | Maddalena Bronzato | Torquil Fraser | Nathan J. Kidley | Christophe Dardonville | Paul L. A. Popelier
Source: ChemRxiv (preprint, 2019-09-06)
Field: Chemistry — Organic Chemistry

Solving the Problem of Aqueous pKa Prediction for Tautomerizable Compounds Using Equilibrium Bond Lengths Our new pKa predictor called AIBL outperforms Marvin for the well-known challenge of tautomerizable compounds. The powerful descriptors used here are simply ab initio equilibrium bond lengths. We also correct the literature experimental value for the herbicide Profoxydim, from a previous value 5.91 to a new value of 4.82. This is a fine and rare example of theory correcting experiment. Value (mathematics) ; Ab initio ; Aqueous solution ; Bond ; Bond length ; Chemistry ; Computational chemistry ; Statistical physics ; Thermodynamics ; Mathematics ; Physics ; Economics ; Molecule ; Physical chemistry ; Statistics ; Organic chemistry Free Radicals and Antioxidants ; Computational Drug Discovery Methods ; Chemistry and Chemical Engineering
Authors: Jingwen Yao | David A. Nathanson | William H. Yong | Noriko Salamon | Albert Lai | P Leia Nghiemphu | Robert M. Prins | Whitney B. Pope | Johannes Czernin | Richard G. Everson | Linda M. Liau | Timothy F. Cloughesy | Benjamin M. Ellingson
Source: Neuro-Oncology (article, 2019-11-01)
Field: Materials Science — Materials Chemistry

NIMG-60. IDH MUTANT GLIOMAS WITH 1p/19q CO-DELETION ARE LESS ACIDIC THAN NON-CO-DELETED GLIOMAS AS MEASURED WITH PH-WEIGHTED AMINE CEST-MRI AND AMINO ACID PET Abstract 1p/19q co-deleted gliomas are known to have slower growth rates and are more sensitive to chemotherapy and radiotherapy. This may be partially explained by the lower tumor acidosis compared to non-co-deleted gliomas, as extracellular acidosis is one of the driving forces toward tumor invasion and resistance to treatments. Amine CEST-EPI is a fast chemical exchange saturation transfer (CEST) imaging technique sensitive to decreased extracellular pH, transverse relaxation rate, and amino acid concentration. In the current study, we demonstrated that 1p/19q co-deleted gliomas are less acidic than non-co-deleted gliomas, using a combination of pH-sensitive amineCEST-EPI, T2 relaxometry, and 18F-FDOPA (18[F] fluorodopa) amino acid PET. 70 histologically-confirmed glioma patients (World Health Organization WHO grade II, N=35; grade III, N=35) received amine CEST-EPI scans. Among them, 16 patients received 18F-FDOPA PET scan and 45 patients received T2 relaxometry quantification. Mann-Whitney u-test is performed to evaluate the differences. Median MTRasym at 3ppm (magnetization transfer ratio asymmetry at amine proton resonance frequency) within T2 hyperintense lesions was significantly lower in 1p/19q co-deleted gliomas compared to non-co-deleted ones (co-deleted 1.19±0.31%; non-co-deleted 1.66±0.45%; p&lt; 0.0001). The significantly lower MTRasym persists when comparing within grade II (p=0.003), grade III (p=0.031), IDH1 mutated gliomas (p=0.002), and gliomas exhibiting classical oligodendroglial histology (p=0.0007). The ROC analysis shows that the prediction of 1p/19q status using MTRasym has area under the curve (AUC) of 0.80 (sensitivity 75.6%. specificity 72.7%). Median FDOPA and T2 in T2-hyperintense lesions were not different between 1p/19q co-deleted and non-co-deleted tumors (FDOPA p=0.84; T2 p=0.63). Results suggest 1p/19q co-deleted gliomas have notably lower acidity compared with non-co-deleted gliomas, as indicated by lower MTRasym and no differences in amino acid concentration or transverse relaxation rate. Further, data indicate the 1p/19q co-deleted gliomas may have distinct metabolic characteristics and tumor microenvironment that can be measured using pH-sensitive amineCEST-MRI at 3T. Glioma ; Magnetization transfer ; Magnetic resonance imaging ; Chemistry ; Nuclear magnetic resonance ; Medicine ; Nuclear medicine ; Pathology ; Cancer research ; Radiology Lanthanide and Transition Metal Complexes ; Magnetism in coordination complexes ; Electron Spin Resonance Studies
Authors: Manish Joshi et al. Manish Joshi et al. | TJPRC
Source: International journal of mechanical and production engineering research and development (review, 2019-01-01)
Field: Materials Science — Polymers and Plastics

The Optimization Techniques used in Solar Dryers, A Review The energy from the sun is the most important source comprising renewable energy available on earth. Environmental science ; Computer science Textile materials and evaluations