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Constructing a biofunctionalized 3D-printed gelatin/sodium alginate/chitosan tri-polymer complex scaffold with improvised biological andmechanical properties for bone-tissue engineering

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Bio-Design and Manufacturing 2024年第1期7卷 57-73页

作者： Amit Kumar singh Krishna Pramanik Amit Biswas Centre of Excellence in Tissue Engineering Department of Biotechnology and Medical EngineeringNational Institute of TechnologyRourkela 769008India

Sodium alginate(sa)/chitosan(CH)polyelectrolyte scaffold is a suitable substrate for tissue-engineering *** present study deals with further improvement in the tensile strength and biological properties of this type of scaffold to make it a potential template for bone-tissue *** experimented with adding 0%–15%(volume fraction)gelatin(GE),a protein-based biopolymer known to promote cell adhesion,proliferation,and *** resulting tri-polymer complex was used as bioink to fabricate sa/CH/GEmatrices by three-dimensional(3D)*** studies using scanning electron microscopy revealed the microfibrous porous architecture of all the structures,which had a pore size range of 383–419μm.X-ray diffraction and Fourier-transform infrared spectroscopy analyses revealed the amorphous nature of the scaffold and the strong electrostatic interactions among the functional groups of the polymers,thereby forming polyelectrolyte complexes which were found to improve mechanical properties and structural *** scaffolds exhibited a desirable degradation rate,controlled swelling,and hydrophilic characteristics which are favorable for bone-tissue *** tensile strength improved from(386±15)to(693±15)kPa due to the increased stiffness of sa/CH scaffolds upon addition of *** enhanced protein adsorption and in vitro bioactivity(forming an apatite layer)confirmed the ability of the sa/CH/GE scaffold to offer higher cellular adhesion and a bone-like environment to cells during the process of tissue *** vitro biological evaluation including the MTT assay,confocal microscopy analysis,and alizarin red S assay showed a significant increase in cell attachment,cell viability,and cell proliferation,which further improved biomineralization over the scaffold *** addition,sa/CH containing 15%gelatin designated as sa/CH/GE15 showed superior performance to the other fabricated 3D structures,demonstrating its pote

关键词： Scaffold Biomaterial Sodium alginate Chitosan Gelatin 3D printing Tissue engineering

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Numerical Analysis of Phase Change and Container Materials for Thermal Energy Storage in the Storage Tank of Solar Water Heating System

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Journal of Thermal Science 2024年第2期33卷 408-421页

作者： singh Shailendra ANAND Abhishek SHUKLA Amritanshu SHARMA Atul Non-Conventional Energy Laboratory Rajiv Gandhi Institute of Petroleum TechnologyJais Amethi229304India

This study evaluates the effectiveness of phase change materials(PCMs) inside a storage tank of warm water for solar water heating(SWH) system through the theoretical simulation based on the experimental model of *** et *** model is explained by five fundamental equations for the calculation of various parameters like the effectiveness of PCMs,the mass of hot water,total heat content,and duration of *** study simulated eleven PCMs to analyze their effectiveness like Sodium hydrogen phosphate dodecahydrate(SHPD),OM 37,N-Eicosane(NE),Lauric acid(LA),Paraffin wax(PW),OM 48,Paraffin wax C_(20-33)(PW-C20-33),Sodium acetate trihydrate(saT),Palmitic acid(PA),Myristic acid(MA),and Stearic acid(sa).Among all PCMs,the SHPD has found the highest value of effectiveness factor of ***,it is the most recommended PCM for the storage tank of the SWH *** study also includes the melt fraction analysis of all enumerated PCMs corresponding to container materials of stainless steel,glass,aluminum mixed,tin,aluminum,and *** melt fraction analysis is performed by making a coding program in the FORTRAN programming *** the analysis,copper container material is found to have high melting rate for all PCMs so it is superior to other container materials.

关键词： theoretical model solar water heating system phase change material effectiveness factor melt fraction

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Seasonal variability in CDOM absorption and fluorescence properties in the Barataria Basin,Louisiana,Usa

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Journal of Environmental Sciences 2010年第10期22卷 1481-1490页

作者： Shatrughan singh Eurico D'sa Erick Swenson Department of Oceanography and Coastal Sciences Louisiana State University

Absorption and fluorescence properties of chromophoric dissolved organic matter （CDOM） along a 124 km transect in the Barataria Basin, a large estuary located in Louisiana, Usa, were investigated during high and low flow periods of the Mississippi River in the spring and winter of 2008-2009. Mean CDOM absorption at 355 nm from the marine to the freshwater end member stations ranged from （3.25 ± 0.56） to （20.76 ± 2.43） m^-1 for the three month high flow period whereas it varied from （1.48 ± 1.08） to （25.45 ± 7.03） m^-1 for the same stations during low flow period. Corresponding salinity values at these stations indicated the influence of river and shelf exchanges in the lower basin and precipitation and runoff in the upper basin. An inverse relationship of CDOM absorbance and fluorescence with salinity observed in the basin could he a useful indicator of salinity. CDOM fluorescence also varied over a large range showing an approximately 8 to 12-fold increase between the marine and freshwater end members for the two flow seasons. Excitation-emission matrix spectral plots indicated the presence of various fluorescence components with highest being the A-peak, lowest the T-peak, and the C and M-peaks showing similar trends along the transect. During low flow season the A/C ratio were well correlated with station locations indicating increased terrestrial influence towards the upper basin. CDOM absorption and fluorescence at 355 nm were highly correlated and independent of CDOM sources suggesting that fluorescence could be used to characterize CDOM in the basin.

关键词： Barataria Basin chromophoric dissolved organic matter CDOM fluorescence excitation-emission matrix

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Ion emission from warm dense matter produced by irradiation with a soft x-ray free-electron laser

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Matter and Radiation at Extremes 2024年第1期9卷 71-84页

作者： Josef Krása Tomás Burian Vera Hájková Jaromír Chalupský Šimon Jelínek Katerina Frantálová Michal Krupka Zuzana Kuglerová Sushil Kumar singh Vojtech Vozda Ludek Vysín MichalŠmíd Pablo Perez-Martin Marion Kühlman Juan Pintor Jakub Cikhardt Matthias Dreimann Dennis Eckermann Felix Rosenthal sam M.Vinko Alessandro Forte Thomas Gawne Thomas Campbell Shenyuan Ren YuanFeng Shi Trevor Hutchinson Oliver Humphries Thomas Preston Mikako Makita Motoaki Nakatsutsumi Xiayun Pan Alexander Köhler Marion Harmand Sven Toleikis Katerina Falk Libor Juha Department of Radiation and Chemical Physics Institute of PhysicsCzech Academy of SciencesNa Slovance 218221 Prague 8Czech Republic Laser Plasma Department Institute of Plasma PhysicsCzech Academy of SciencesZa Slovankou 318200 Prague 8Czech Republic Department of Surface and Plasma Science Faculty of Mathematics and PhysicsCharles University in PragueV Holesovi ckách 218000 Prague 8Czech Republic Department of Physical Electronics Faculty of Nuclear Science and Engineering PhysicsCzech Technical University in PragueV Holesovi ckách 218000 Prague 8Czech Republic Helmholtz-Zentrum Dresden-Rossendorf Bautzner Landstraße 40001328 DresdenGermany DESY Photon Science Notkestraße 85D-22607 HamburgGermany Institut de Minéralogie de Physique des Matériaux et de CosmochimieUMR 7590–UPMC/CNRS/IRD/MNHNSorbonne Université4 place Jussieu75005 ParisFrance Department of Physics Faculty of Electrical EngineeringCzech Technical University in PragueTechnická216627 Prague 6Czech Republic Center for Soft Nanoscience University of MünsterBusso-Peus-Straße 10D-48149 MünsterGermany Department of Physics Clarendon LaboratoryUniversity of OxfordParks RoadOxford OX13PUUnited Kingdom Central Laser Facility STFC Rutherford Appleton LaboratoryDidcot OX110QXUnited Kingdom Lawrence Livermore National Laboratory 7000 East AvenueLivermoreCalifornia 94550USA European XFEL GmbH Holzkoppel 4D-22869 SchenefeldGermany Technische Universität Dresden 01062 DresdenGermany

We report on an experiment performed at the FLASH2 free-electron laser(FEL)aimed at producing warm dense matter via soft x-ray isochoric *** the experiment,we focus on study of the ions emitted during the soft x-ray ablation process using time-of-flight electron multipliers and a shifted Maxwell–Boltzmann velocity distribution *** find that most emitted ions are thermal,but that some impurities chemisorbed on the target surface,such as protons,are accelerated by the electrostatic field created in the plasma by escaped *** morphology of the complex crater structure indicates the presence of several ion groups with varying *** find that the ion sound velocity is controlled by the ion temperature and show how the ion yield depends on the FEL radiation attenuation length in different materials.

关键词： electrostatic emitted chemi

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A Novel Hybrid Tunicate Swarm Naked Mole-Rat Algorithm for Image Segmentation and Numerical Optimization

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Computers, Materials & Continua 2022年第5期71卷 3445-3462页

作者： Supreet singh Nitin Mittal Urvinder singh Rohit salgotra Atef Zaguia Dilbag singh Department of Electronics&Communication Engineering Chandigarh UniversityMohali140413India Department of Electronics&Communication Engineering TIETPatiala147004India Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Electrical Engineering and Computer Science Gwangju Institute of Science and TechnologyGwangju61005Korea

This paper provides a new optimization algorithm named as tunicate swarm naked mole-rat algorithm(TSNMRA)which uses hybridization concept of tunicate swarm algorithm(Tsa)and naked mole-rat algorithm(NMRA).This newly developed algorithm uses the characteristics of both algorithms(Tsa and NMRA)and enhance the exploration abilities of *** from the hybridization concept,important parameter of NMRA such as mating factor is made to be self-adaptive with the help of simulated annealing(sa)mutation operator and there is no need to define its value *** evaluating the working capabilities of proposed TSNMRA,it is tested for 100-digit challenge(CEC 2019)test problems and real multi-level image segmentation *** the results obtained for CEC 2019 test problems,it can be seen that proposed TSNMRA performs well as compared to original Tsa and *** case of image segmentation problem,comparison of TSNMRA is performed with multi-threshold electro magnetism-like optimization(MTEMO),particle swarm optimization(PSO),genetic algorithm(GA),bacterial foraging(BF)and found superior results for TSNMRA.

关键词： Optimization NMRA Tsa image segmentation thresholding

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Microstructural analysis and hot corrosion behavior of HVOF-sprayed Ni–22Cr–10Al–1Y and Ni–22Cr–10Al–1Y–SiC(N) coatings on ASTM-sa213-T22 steel

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International Journal of Minerals,Metallurgy and Materials 2020年第3期27卷 401-416页

作者： Gurmail singh Niraj Bala Vikas Chawla Department of Mechanical Engineering IKGPTUJalandhar 144603PunjabIndia Department of Aerospace Engineering Chandigarh UniversityGharuan 140413PunjabIndia Department of Mechanical Engineering BBSBECFatehgarh Sahib 140407PunjabIndia

The present paper deals with the investigation of microstructure and high-temperature hot corrosion behavior of high-velocity oxy fuel(HVOF)-produced coatings. Two powder coating compositions, namely, Ni22Cr10Al1Y alloy powder and Ni22Cr10Al1Y(80 wt%;microsized)–silicon carbide(SiC)(20 wt%;nano(N)) powder, were deposited on a T-22 boiler tube steel. The hot corrosion behavior of bare and coated steels was tested at 900°C for 50 cycles in Na2SO4–60 wt%V2O5 molten-salt environment. The kinetics of corrosion was established with weight change measurements after each cycle. The microporosity and microhardness of the as-coated samples have been reported. The X-ray diffraction,field emission-scanning electron microscopy/energy dispersive spectroscopy, and X-ray mapping characterization techniques have been utilized for structural analysis of the as-coated and hot-corroded samples. The results showed that both coatings were deposited with a porosity less than2%. Both coated samples revealed the development of harder surfaces than the substrate. During hot corrosion testing, the bare T22 steel showed an accelerated corrosion in comparison with its coated counterparts. The HVOF-sprayed coatings were befitted effectively by maintaining their adherence during testing. The Ni22Cr10Al1Y–20 wt%SiC(N) composite coating was more effective than the Ni–22Cr–10Al–1Y coating against corrosion in the high-temperature fluxing process.

关键词： high-velocity oxy fuel thermal spray hot corrosion oxide scale nano-structured coating

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Hot-corrosion behavior of Cr_2O_3–CNT-coated ASTM-sa213-T22 steel in a molten salt environment at 700°C

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International Journal of Minerals,Metallurgy and Materials 2019年第3期26卷 337-344页

作者： Khushdeep Goyal Hazoor singh Rakesh Bhatia Department of Mechanical Engineering Punjabi University Mechanical Engineering Section Yadavindra College of Engineering

The present work investigates the hot-corrosion behavior of carbon nanotube(CNT)-reinforced chromium oxide coatings on boiler steel in a molten salt(Na_2SO_4–60 wt%V_2O_5) environment at 700°C under cyclic conditions. The coatings were deposited via the high-velocity oxygen fuel process. The uncoated and coated steel samples were subjected to hot corrosion in a silicon tube furnace at 700°C for 50 cycles. The kinetics of the corrosion behavior was analyzed through mass-gain measurements after each cycle. The corrosion products were analyzed by X-ray diffraction, scanning electron microscopy, and energy-dispersive X-ray analysis techniques. The results revealed that uncoated steel suffered spallation of scale because of the formation of nonprotective Fe_2O_3 scale. The coated steel samples exhibited lower mass gains with better adhesiveness of oxide scale with the steel alloy until the end of exposure. The CNT-reinforced coatings were concluded to provide better corrosion resistance in the hot-corrosion environment because of the uniform dispersion of CNTs in the coating matrix and the formation of protective chromium oxides in the scale.

关键词： carbon nanotubes corrosion thermal spray porosity composite boiler steel

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Surface ozone scenario and air quality in the north-central part of India

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Journal of Environmental Sciences 2017年第9期29卷 72-79页

作者： Renuka saini Ajay Taneja Pradyumn singh Department of Chemistry Dr.Bhim Rao Ambedkar UniversityAgra 282002India

Tropospheric pollutants including surface ozone（O3）, nitrogen dioxide（NO2）, carbon monoxide（CO） and meteorological parameters were measured at a traffic junction（78°2′ E and 27°11′ N） in Agra, India from January 2012 to December 2012. Temporal analysis of pollutants suggests that annual average mixing ratios of tropospheric pollutants were： O3— 22.97 ± 23.36 ppbV,NO2— 19.84 ± 16.71 ppb V and CO — 0.91 ± 0.86 ppm V, with seasonal variations of O3 having maximum mixing ratio during summer season（32.41 ± 19.31 ppbV）, whereas lowest was found in post-monsoon season（8.74 ± 3.8 ppbV）. O3 precursors： NO2 and CO, showed inverse relationship with O3. Seasonal variation and high O3 episodes during summer are associated with meteorological parameters such as high solar radiation, atmospheric temperature and transboundary transport. The interdependence of these variables showed a link between the daytime mixing ratios of O3 with the nighttime level of NO2. The mixing ratios of CO and NO2 showed tight correlations, which confirms the influence of vehicular emissions combined with other anthropogenic activities due to office/working hours, shallowing, and widening of boundary layer. FLEXTRA backward trajectories for the O3 episode days clearly indicate the transport from the NW and W to S/SE and SW direction at Agra in different seasons.

关键词： Surface ozone Ozone precursors Diurnal and seasonal variation PCA Ozone transport

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Evaluation of phenolic composition, antioxidant, anti-inflammatory and anticancer activities of Polygonatum verticillatum(L.)

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Journal of Integrative Medicine 2018年第4期16卷 273-282页

作者： saNDeep Kumar singh Arjun Patra Institute of Pharmacy Guru Ghasidas University

Objective： Polygonaturn verticillatum （L） All. （Ruscaceae）, one of the Ashtawarga plants, is widely used for treatment of various ailments. The present study was undertaken to determine the phenolic composition, antioxidant, anti-inflammatory and anticancer activities of several extracts （petroleum ether, dichloro- methane, chloroform, ethanol, and aqueous） from the rhizomes of the plant. Methods： Coarsely powdered dry rhizome was successively extracted with different solvents of increas- ing polarity （petroleum ether, dichloromethane, chloroform, ethanol and water）. The phenolic composi- tions, in terms of total phenolic content （TPC）, total flavonoid content （TFC） and total condensed tannin content （JTC）, were evaluated with the Folin-Ciocalteu assay, aluminum chloride colorimetric assay and vanillin spectrophotometric assay, respectively. Total antioxidant capacity, 1,1-diphenyl-2- picrylhydrazyl and 2,2＇-azino-his（3-ethylbenzothiazoline-6-sulfonic acid） assays were used to assess the antioxidant potential of each extract. A protein denaturation model and 3-（4,5-dimethylthiazol-2- yl）-2,5-diphenyltetrazolium bromide assay were used to evaluate in vitro anti-inflammatory and anti- cancer activities, respectively. Gas chromatography-mass spectrometry （GC/MS） analysis was carried out to demonstrate various phytoconstituents in each extract. Correlation studies were also performed between phenolic composition （TPC, TFC and TFC） and different biological activities. Results： Ethanol extract showed maximum TPC （0.126 mg/g, gallic acid equivalent in dry sample）, TFC （0.094 mg/g, rutin equivalent in dry sample） and TTC （29.32 mg/g, catechin equivalent in dry sample）, as well as antioxidant and anti-inflammatory properties. Chloroform extract exhibited the strongest cyto- toxicity against the human breast cancer cell line, MCF-7. GC/MS analysis revealed the presence of 90 different phytoconstituents among the extracts. Antioxidant and anti-inflammatory activities had a pos

关键词： Polygonatum verticillatum Gas chromatography-mass spectrometry Phenolic profile MCF-7 cells

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Proximal detecting invertebrate pests on crops using a deep residual convolutional neural network trained by virtual images

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Artificial Intelligence in Agriculture 2021年第1期5卷 13-23页

作者： Huajian Liu Javaan singh Chahl The Plant Accelerator Australian Plant Phenomics FacilitySchool of AgricultureFood andWineUniversity of AdelaideWaite CampusBuildingWT 40Hartley GroveUrrbraeSA 5064Australia School of Engineering University of South AustraliaMawson Lakes 5095Australia Joint and Operations Analysis Division Defence Science and Technology GroupAustralia

Detecting invertebrate pests on crops at early stages is essential for pest ***,traps were used to sample pests and then human experts undertook classification and counting to estimate the levels of infestation,which is subjective,error-prone and labour ***,semi-automatic pest detection is possible by using computer vision technologies to classify and count pest samples in laboratories or insect traps,however,the decision made by the laboratory-based or trap-based approaches are still too late for more optimised pest management ***,precision agriculture needs detection of pests on crops so that real-time actions can be taken or optimised decision can be made based on accurate information of time and location pest *** this study,we used computer vision and machine learning technologies to detect invertebrates on crops in the *** first evaluated the performances of the state-of-art convolutional neural networks(CNNs)and proposed a standard training *** the challenge of rapidly developing comprehensive training data,we used a novel method to generate a virtual database which was successfully used to train a deep residual CNNwith an accuracy of 97.8%in detecting four species of pests in farming *** proposed method can be applied to a robotic system for proximal detection of invertebrate pests on crops in real-time.

关键词： Insect detection Deep convolutional neural network Precision agriculture

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