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Azeotropic mixture used for development and validation of Lornoxicam in bulk and its tablet dosage form by spectrophotometric method

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Journal of Pharmaceutical Analysis 2012年第4期2卷 306-309页

作者： Prajesh Prajapati Vipul Vaghela Deepak Rawtani Harshad Patel Jasmin Kubavat dharmendra baraiya Department of Pharmaceutical Analysis Institute of Research and DevelopmentGujarat Forensic Sciences UniversitySector-18ANr.Police bhavan A.R.College of Pharmacy and G.H.Patel Institute of Pharmacy

A novel,safe,economic and sensitive method of spectrophotometric estimation has been developed using Azeoptropic mixture (water∶methanol:60∶40,v/v) for the quantitative determination of Lornoxicam,a practically water-insoluble ***,Lornoxicam stock solution was prepared in Azeoptropic *** showed maximum absorbance at 383 ***'s law was obeyed in the concentration range 4-24 μg/mL with regression coefficient of *** method was validated in terms of linearity (R2=0.999),precision (CV for intra-day and inter-day was 0.28 0.68 and 0.12-0.92,respectively),accuracy (98.03-100.59％ w/w) and *** method is simple,precise,accurate,sensitive and reproducible and can be used for the routine quality control testing of the marketed formulations.

关键词： Analgesic Chlortenoxicam Lornoxicam Oxicam Spectrophotometric Azeotropic mixture

Wharton’s jelly mesenchymal stem cells: Future regenerative medicine for clinical applications in mitigation of radiation injury

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World Journal of Stem Cells 2024年第7期16卷 742-759页

作者： Prashasti Sharma dharmendra Kumar Maurya Life Sciences Homi Bhabha National InstituteMumbai 400094MaharashtraIndia Radiation Biology&Health Sciences Division Bhabha Atomic Research CentreMumbai 400085MaharashtraIndia

Wharton’s jelly mesenchymal stem cells(WJ-MSCs)are gaining significant attention in regenerative medicine for their potential to treat degenerative diseases and mitigate radiation ***-MSCs are more naïve and have a better safety profile,making them suitable for both autologous and allogeneic *** review highlights the regenerative potential of WJ-MSCs and their clinical applications in mitigating various types of radiation *** this review,we will also describe why WJ-MSCs will become one of the most probable stem cells for future regenerative medicine along with a balanced view on their strengths and ***,the most updated literature related to both preclinical and clinical usage of WJ-MSCs for their potential application in the regeneration of tissues and organs will also be compiled.

关键词： Stem cells Wharton’s jelly mesenchymal stem cells Radiotherapy Xerostomia Lung fibrosis

Helicobacter pylori isolated from gastric juice have higher pathogenic potential than biopsy isolates

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Genes & Diseases 2024年第1期11卷 34-37页

作者： Budhadev Baral dharmendra Kashyap Nidhi Varshney Tarun Prakash Verma Ajay Kumar Jain Debi Chatterji Vinod Kumar Amit Mishra Awanish Kumar Hem Chandra Jha Infection Bioengineering Group Department of Biosciences and Biomedical EngineeringIndian Institute of Technology IndoreSimrolIndoreMadhya Pradesh 453552India Choithram Hospital and Research Center IndoreMadhya Pradesh452014India Department of Metallurgy Engineering and Materials Science Indian Institute of Technology IndoreSimrolIndoreMadhya Pradesh 453552India Department of Bioscience&Bioengineering Indian Institute of Technology JodhpurNH 65 Nagaur RoadJodhpur DistrictKarwarRajasthan 342037India Department of Biotechnology National Institute of Technology RaipurGE RoadRaipurChhattisgarh 492010India

Persistent gastritis induced by Helicobacter pylori(***)is the strongest known risk factor for gastric cancer(GC).*** is prevalent in about 50%world's population,while it causes cancer in less than 2%of exposed individuals.1 Our studies found that *** infection can induce oncogenic properties in AGS cells by deregulating multiple factors associated with the cell cycle,apoptosis,and other important events associated with cancer progression.

关键词： H.pylori pylori Helicobacter

Stabilization of expansive soils using chemical additives: A review

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Journal of Rock Mechanics and Geotechnical Engineering 2022年第4期14卷 1319-1342页

作者： dharmendra Barman Sujit Kumar Dash Department of Civil Engineering Indian Institute of Technology KharagpurKharagpur721302India

Volume instability of expansive soils due to moisture fluctuations is often disastrous,causing severe damages and distortions in the supported *** is,therefore,necessary to adequately improve the performance of such soils that they can favorably fulfil the post-construction stability *** can be achieved through chemical stabilization using additives such as lime,cement and fly *** this paper,suitability of such additives under various conditions and their mechanisms are reviewed in *** is observed that the stabilization process primarily involves hydration,cation exchange,flocculation and pozzolanic *** degree of stabilization is controlled by several factors such as additive type,additive content,soil type,soil mineralogy,curing period,curing temperature,delay in compaction,pH of soil matrix,and molding water content,including presence of nano-silica,organic matter and sulfate *** of nano-silica not only improves soil packing but also accelerates the pozzolanic ***,presence of deleterious compounds such as sulfate or organic matter can turn the treated soils unfavorable at times even worser than the unstabilized ones.

关键词： Expansive soil Cement Lime Fly ash Pozzolanic reactions Sulfate attack

Sentiment Analysis on Social Media Using Genetic Algorithm with CNN

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Computers, Materials & Continua 2022年第3期70卷 5399-5419页

作者： dharmendra Dangi Amit Bhagat Dheeraj Kumar Dixit Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

There are various intense forces causing customers to use evaluated data when using social media platforms and microblogging ***,customers throughout the world share their points of view on all kinds of topics through these *** massive volume of data created by these customers makes it impossible to analyze such data ***,an efficient and intelligent method for evaluating social media data and their divergence needs to be ***,various types of equipment and techniques are available for automatically estimating the classification of *** analysis involves determining people’s emotions using facial *** analysis can be performed for any individual based on specific *** present study describes the analysis of an image dataset using CNNswithPCA intended to detect people’s sentiments(specifically,whether a person is happy or sad).This process is optimized using a genetic algorithm to get better ***,a comparative analysis has been conducted between the different models generated by changing the mutation factor,performing batch normalization,and applying feature reduction using *** steps are carried out across five experiments using *** maximum accuracy obtained is 96.984%,which is associated with the Happy and Sad sentiments.

关键词： Sentiment analysis convolutional neural networks facial expression genetic algorithm

Fake News Classification Using a Fuzzy Convolutional Recurrent Neural Network

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Computers, Materials & Continua 2022年第6期71卷 5733-5750页

作者： Dheeraj Kumar Dixit Amit Bhagat dharmendra Dangi Department of Mathematics and Computer Applications Maulana Azad National Institute of Technology(MANIT)BhopalMadhya PradeshIndia

In recent years,social media platforms have gained immense *** a result,there has been a tremendous increase in content on social media *** content can be related to an individual’s sentiments,thoughts,stories,advertisements,and news,among many other content *** the recent increase in online content,the importance of identifying fake and real news has ***,there is a lot of work present to detect fake news,a study on Fuzzy CRNN was not explored into this *** this work,a system is designed to classify fake and real news using fuzzy *** initial feature extraction process is done using a convolutional recurrent neural network(CRNN).After the extraction of features,word indexing is done with high ***,based on the indexing measures,the ranking process identifies whether news is fake or *** fuzzy CRNN model is trained to yield outstanding resultswith 99.99±0.01%*** work utilizes three different datasets(LIAR,LIAR-PLUS,and ISOT)to find the most accurate model.

关键词： Fake news detection text classification convolution recurrent neural network fuzzy convolutional recurrent neural networks

Cocktails of defined chemical compounds:sufficient to induce totipotency in embryonic stem cells

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Signal Transduction and Targeted Therapy 2022年第10期7卷 3630-3631页

作者： Wilfried A.Kues dharmendra Kumar Friedrich-Loeffler-Institut Federal Research Institute for Animal HealthBiotechnologyStem Cell Physiology31535 NeustadtGermany Animal Physiology and Reproduction Division ICAR-Central Institute for Research on BuffaloesHisarHaryana 125001India

In a recent work published in Nature,Hu et al.1 report that a cocktail of three small chemicals is sufficient to induce totipotency in murine embryonic stem(ES)*** this year,two other groups identified different mixtures of chemicals,which also seem to do this job,2,3 taken together this opens a new approach to capture totipotency in vitro,and to understand the underlying pathways and their interaction.

关键词： interaction. al. induce

Soluble factors secreted by human Wharton’s jelly mesenchymal stromal/stem cells exhibit therapeutic radioprotection: A mechanistic study with integrating network biology

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World Journal of Stem Cells 2022年第5期14卷 347-361页

作者： dharmendra Kumar Maurya Mayuri Bandekar Santosh Kumar Sandur Radiation Biology and Health Sciences Division Bhabha Atomic Research CentreMumbai 400085MaharashtraIndia Homi Bhabha National Institute AnushaktinagarMumbai 400094India University of Mumbai KalinaMumbai 400098India

BACKGROUND Human Wharton’s jelly-derived mesenchymal stromal/stem cells(hWJ-MSCs)have gained considerable attention in their applications in cell-based therapy due to several advantages offered by ***,we reported that hWJ-MSCs and their conditioned medium have significant therapeutic radioprotective *** finding raised an obvious question to identify unique features of hWJ-MSCs over other sources of stem cells for a better understanding of its radioprotective *** To understand the radioprotective mechanism of soluble factors secreted by hWJMSCs and identification of their unique *** Propidium iodide staining,endogenous spleen colony-forming assay,and survival study were carried out for radioprotection ***-driven proliferation assay was performed for in vivo lymphocyte *** of RNAseq data was performed to find the unique genes of WJ-MSCs by comparing them with bone marrow mesenchymal stem cells,embryonic stem cells,and human *** enrichment analysis and protein-protein interaction network were used for pathway *** Co-culture of irradiated murine splenic lymphocytes with WJ-MSCs offered significant radioprotection to ***-MSC transplantation increased the homeostasis-driven proliferation of the *** of WJ-MSC conditioned medium with granulocyte-colony stimulating factor antibody abolished therapeutic *** analysis showed that WJ-MSCs share several common genes with bone marrow MSCs and embryonic stem cells and express high levels of unique genes such as interleukin(IL)1-α,IL1-β,IL-6,CXCL3,CXCL5,CXCL8,CXCL2,CCL2,FLT-1,and *** was also observed that WJ-MSCs preferentially modulate several cellular pathways and processes that handle the repair and regeneration of damaged tissues compared to stem cells from other ***-based network analysis showed that most of the radiosensitive tissues have a more com

关键词： Radioprotection Mesenchymal stem cells Wharton’s jelly-derived mesenchymal stromal/stem cells Cytokines Granulocyte-colony stimulating factor Network biology

A New Fuzzy Adaptive Algorithm to Classify Imbalanced Data

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Computers, Materials & Continua 2022年第1期70卷 73-89页

作者： Harshita Patel dharmendra Singh Rajput Ovidiu Petru Stan Liviu Cristian Miclea School of Information Technology&Engineering Vellore Institute of TechnologyVellore632014India Technical University of Cluj Napoca Faculty of Automation and Computer ScienceCluj Napoca400114Romania

Classification of imbalanced data is a well explored issue in the data mining and machine learning community where one class representation is overwhelmed by other *** Imbalanced distribution of data is a natural occurrence in real world datasets,so needed to be dealt with carefully to get important *** case of imbalance in data sets,traditional classifiers have to sacrifice their performances,therefore lead to *** paper suggests a weighted nearest neighbor approach in a fuzzy manner to deal with this *** have adapted the‘existing algorithm modification solution’to learn from imbalanced datasets that classify data without manipulating the natural distribution of data unlike the other popular data balancing *** K nearest neighbor is a non-parametric classification method that is mostly used in machine learning *** classification with the nearest neighbor clears the belonging of an instance to classes and optimal weights with improved nearest neighbor concept helping to correctly classify imbalanced *** proposed hybrid approach takes care of imbalance nature of data and reduces the inaccuracies appear in applications of original and traditional *** show that it performs well over the existing fuzzy nearest neighbor and weighted neighbor strategies for imbalanced learning.

关键词： Machine learning fuzzy classification nearest neighbor adaptive approach optimal weights