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Comparative study of Eu^(3+)-activated LnOCl(Ln=La and Gd) phosphors and their Judd-Ofelt analysis

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Journal of Rare Earths 2015年第9期33卷 946-953页

作者： N.Dhananjaya C.Shivakumara rohit Saraf Sukanti Behera H.Nagabhushana Department of Physics B.M.S. Institute of Technology and Management Solid State and Structural Chemistry Unit Indian Institute of Science C. N. R. Rao Center for Advanced Materials Tumkur University

Eu3＋-activated layered LnOCI （Ln=La and Gd） phosphors were synthesized by the conventional solid-state method at relatively low temperature （700 ℃） and shorter duration of 2 h. The structural parameters were refined by the Rietveld refinement analysis and confirmed by the high resolution transmission electron microscopy （HRTEM）. Both the compounds were crystallized in the tetragonal structure with space group P4/nmm （No. 129）. The homogeneity of the elements were ana- lyzed by TEM mapping and found to be uniformly distributed. The photoluminescence spectra revealed that the intensity of 5D0--7F2 transition （619 nm） was more intense in Eu3＋-activated GdOC1 compared to LaOC1. This was due to the property of Gd3＋ ions to act as an intermediate sublattice to facilitate the energy transfer to Eu3＋ ions. Intensity parameters and radiative properties such as transition probabilities, radiative lifetime and branching ratio were calculated using the Judd-Ofelt theory. The CIE color coordinates result revealed that the Eu3＋-activated GdOC1 （0.641, 0.354） phosphor was close to the commercial red phosphors like, Y203：Eu3＋（0.645, 0.347）, Y202S：Eu3＋（0.647, 0.343） and National Television System Committee （NTSC）（0.67, 0.33）. The results suggest that the present GdOCI：Eu3＋ compound acts as a potential candidate for red phosphor materials.

关键词： LaOC1 GdOC1 phosphors Judd-Ofelt CIE rare earths

Fragment emission and critical behavior in light and heavy charged systems

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Chinese Physics C 2021年第1期45卷 215-225页

作者： Samiksha Sood rohit Kumar Arun Sharma Sakshi Gautam Rajeev K.Puri Department of Physics Panjab UniversityChandigarh 160014India Department of Physics G.D.College.BillawarJammu 185204India

We study the emission of fragments in central collisions of light and heavily charged systems of^4+Ar+^45 Sc and^s4Kr+^197 Au,respectively,using the Quantum Molecular Dynamics(QMD)model as the primary *** fragments are identified using an energy based clusterization algorithm,i.e.,the Simulated Annealing Clusterization Algorithm(SACA).The charge distributions of intermediate mass fragments[3≤Zf≤12]are fitted with power-law(∝Zf^-τ)and exp on ential(∝e^-λZf)fits in order to extract the parametersτandλ,whose minimum values are also sometimes linked with the onset of fragmentation or the critical point for a liquid-gas phase *** parameters such as the normalized second moment,,average size of the second largest cluster,phase separation parameter(Sp),bimodal parameter(P),information entropy(H),and Zipfs law are also analyzed to find the exact energy of the onset of *** detailed analysis predicts that an energy point exists between 20-23.1 MeV/nucleon,which is very close to the experimentally observed value of 23.9 MeV/nucleon for the^40Ar+^45Sc *** also find that the critical energy deduced using Zipfs law is higher than those predicted from other critical ***,no minimum is found for t values of the highly charged system of^84Kr+^197Au,in agreement with experimental findings and various theoretical *** observe that the QMD+SACA model calculations are in agreement with the experimental *** agreement supports our results regarding the energy point of the liquid-gas phase transition and the onset of fragmentation.

关键词： heavy-ion collisions transport model clusterization algorithm Monte-Carlo technique li・quid-gas phase transition

Development of a novel stability indicating RP-HPLC method for quantification of Connexin43 mimetic peptide and determination of its degradation kinetics in biological fluids

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Journal of Pharmaceutical Analysis 2017年第6期7卷 365-373页

作者： rohit Bisht Ilva D. Rupenthal Sreevalsan Sreebhavan Jagdish K. Jaiswal Buchanan Ocular Therapeutics Unit(BOTU) Department of OphthalmologyNew Zealand National Eye CentreFaculty of Medical and Health SciencesUniversity of AucklandAuckland 1142New Zealand Auckland Cancer Society Research Centre Faculty of Medical and Health SciencesUniversity of AucklandAuckland 1142New Zealand

Connexin43 mimetic peptide （Cx43MP） has been intensively investigated for its therapeutic effect in the management of inflammatory eye conditions, spinal cord injury, wound healing and iscbemia-induced brain damage. Here, we report on a validated stability-indicating reversed-phase high performance liquid chromatography （RP-HPLC） method for the quantification of Cx43MP under stress conditions. These included exposure to acid/base, light, oxidation and high temperature. In addition, the degradation kinetics of the peptide were evaluated in bovine vitreous and drug-free human plasma at 37℃. Detection of Cx43MP was carried out at 214 nm with a retention time of 7.5 min. The method showed excellent linearity over the concentration range of 0.9-250μg/mL （R2a0.998）, and the limits of detection （LOD） and quantification （LOQ） were found to be 0.90 and 2.98 μg/mL, respectively. The accuracy of the method determined by the mean percentage recovery at 7.8, 62.5 and 250μg/mL was 96.79%, 98.25% and 99.06% with a RSD of〈 2.2%. Accelerated stability studies revealed that Cx43MP was more sensitive to basic conditions and completely degraded within 24 h at 37℃（0% recovery） and within 12 h at 80℃ （0.34% recovery）. Cx43MP was found to be more stable in bovine vitreous （t1/2 slow= 171.8 min） compared to human plasma （t1/2slow = 39.3 min） at 37℃ according to the two phase degradation kinetic model. These findings are important for further pre-clinical development of Cx43MP.

关键词： RP-HPLC determination biological fluids

Wandering spleen:a surgical enigma

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Gastroenterology Report 2017年第3期5卷 241-243,I0003页

作者： Ashok Kumar Puranik rohit Mehra Sushila Chauhan Rahul Pandey Department of Surgery Command HospitalPuneMaharashtraIndia Department of Surgery Armed Forces Medical CollegePuneMaharashtraIndia

Wandering spleen,also referred to as‘ptotic spleen’,is a rare clinical condition characterized by splenicmigration form its normal left hypochondrial position to any other abdominal or pelvic *** themultifactorial etiologies proposed,laxity of the spleen’s primary supporting ligaments is themost agreed-upon *** present one rare case of wandering spleen in an 11-year-old girl who presented with recurrent abdominal pain with no localizing *** abdominal examination revealed an intra-abdominal left iliac fossa lump with restrictedmobility,which was confirmed as a wandering spleen by abdominal sonography and contrast-enhanced computed ***,an infarcted spleen was encountered with tortuous,elongated,torsional splenic pedicle and a single dense adhesive band with descending *** was offered to the ***-operatively,the patient is healthy and symptom free at one-year *** rare clinical diagnosis of this condition,particularly in the paediatric age-group,makes it an enigma for the surgical world.

关键词： wandering spleen splenic ligaments torsion

Image processing analysis to track colour changes on apple and correlate to moisture content in drying stages

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Food Quality and Safety 2018年第2期2卷 105-110页

作者： Ganesh C.Bora rohit Pathak Mojtaba Ahmadi Purbasha Mistry Department of Agricultural and Biological Engineering Mississippi State UniversityMississippiUSA Department of Agricultural and Biosystems Engineering North Dakota State UniversityFargoNorth DakotaUSA

Colour and moisture content are two most important attributes of the commercial food *** of moisture content is very important to know the storability of the food *** also relates to the process of drying in a fruit or *** drying and shrinkage deteriorates the quality of food *** goal of the experiment was to examine the changes in RGB values of an apple during drying at different *** this study,emphasis was given on how the colour changes when there is a significant change in the moisture content of the *** randomly chosen varieties of apples were sliced to 8 mm thickness and dried in vacuum oven at 60°C,70°C,and 80°*** loss of moisture was recorded for every 30 min interval and corresponding digital images were taken to determine the change in RGB *** images that were captured during the study was analysed in MATLAB image analysis computer *** analysis of moisture content and average colour share with respect to time showed that average colour share value decreases with time at all three *** than 50 per cent of variation in moisture content was explained by average colour *** is a significant linear relationship between moisture content and colour changes in RGB and can be used to predict the moisture content of apple during drying process.

关键词： image processing colour moisture content apple drying temperature

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

Rapid bacteria identification using structured illumination microscopy and machine learning

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Journal of Innovative Optical Health Sciences 2018年第1期11卷 149-158页

作者： Yingchuan He Weize Xu Yao Zhi rohit Tyagi Zhe Hu Gang Cao College of Engineering Huazhong Agricultural University Wuhan 430070 P.R.China College of Veterinary Medicine Huazhong Agricultural University Wuhan 430070 P.R.China State Key Laboratory of Agricultural Microbiology Huazhong Agricultural University Wuhan 430070 P.R.China Bio-Medical Center Huazhong Agricultural University Wuhan 430070 P.R.China Key Laboratory of Development of Veterinary Diagnostic Products Ministry of Agriculture College of Veterinary Medicine Huazhong Agricultural University Wuhan 430070P.R.China

Traditionally,optical microscopy is used to visualize the morphological features of pathogenic bacteria,of which the features are further used for the detection and ident ification of the ***,due to the resolution limitation of conventional optical microscopy as well as the lack of standard pattern library for bacteria identification,the ffectiveness of this optical microscopy-based method is ***,we reported a pilot study on a combined use of Structured Illumination Microscopy(SIM)with machine learning for rapid bacteria *** applying machine learning to the SIM image datasets from three model bacteria(including Escherichia coli,Mycobacterium smegmatis,and Pseudomonas aeruginosa),we obtained a classifcation accuracy of up to 98%.This study points out a promising possibility for rapid bacterial identification by morphological features.

关键词： Structured ilumination microscopy bacterial classification principal component analysis support vector machine random forest

Vitamins and non-alcoholic fatty liver disease: A molecular insight

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Liver Research 2021年第2期5卷 62-71页

作者： Sana Raza Archana Tewari Sangam Rajak rohit A.Sinha Department of Endocrinology Sanjay Gandhi Postgraduate Institute of Medical SciencesLucknowIndia

The incidence of non-alcoholic fatty liver disease(NAFLD)is rising rapidly across the *** pathogenesis is largely driven by an imbalance in hepatic energy metabolism,and at present,there is no approved drug for its *** liver plays a crucial role in micronutrient metabolism,and deregulation of this micronutrient metabolism may contribute to the pathogenesis of *** regulate several enzymatic processes in the liver,and derangement in vitamin metabolism is believed to play a critical role in NAFLD *** anti-oxidant activities of vitamins C and E have been attributed to mitigate hepatocyte injury,and alterations in the serum levels of vitamin D,vitamin B12 and folate have shown a strong correlation with NAFLD *** review aims to highlight the role of these vitamins,which represent promising therapeutic targets for the management of NAFLD.

关键词： Anti-oxidant Autophagy Non-alcoholic fatty liver disease(NAFLD) Non-alcoholic steatohepatitis(NASH) Vitamin A Vitamin B Vitamin C Vitamin D Vitamin E

Solving the electronic structure problem with machine learning

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npj Computational Materials 2019年第1期5卷 959-965页

作者： Anand Chandrasekaran Deepak Kamal rohit Batra Chiho Kim Lihua Chen Rampi Ramprasad School of Materials Science and Engineering Georgia Institute of Technology771 Ferst Dr.NWAtlantaGA 30332USA

Simulations based on solving the Kohn-Sham(KS)equation of density functional theory(DFT)have become a vital component of modern materials and chemical sciences research and development *** its versatility,routine DFT calculations are usually limited to a few hundred atoms due to the computational bottleneck posed by the KS *** we introduce a machine-learning-based scheme to efficiently assimilate the function of the KS equation,and by-pass it to directly,rapidly,and accurately predict the electronic structure of a material or a molecule,given just its atomic configuration.A new rotationally invariant representation is utilized to map the atomic environment around a grid-point to the electron density and local density of states at that *** mapping is learned using a neural network trained on previously generated reference DFT results at millions of *** proposed paradigm allows for the high-fidelity emulation of KS DFT,but orders of magnitude faster than the direct ***,the machine learning prediction scheme is strictly linear-scaling with system size.

关键词： solution. equation. structure