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Modelling and Reporting Parameters of Optical OFDM System Using Different Modulation Techniques

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Optics and Photonics Journal 2013年第2期3卷 204-210页

作者： Harsimran Jit Kaur maninder lal singh Electronics and Communication Engineering Chitkara University Mohali India Guru Nanak Dev University Amritsar India

OFDM (Optical Orthogonal Frequency Division Multiplexing) in the optical domain is a promising technology which provides solutions to problems of today’s optical networks. In the present research an optical OFDM system is designed using different modulation techniques QPSK (quadrature phase shift keying), QAM (quadrature amplitude Modulation). Various signal conditioning parameters, like OSNR (optical signal to noise ratio), BER (bit error rate), chromatic dispersion and electrical SNR (signal to noise ratio) have been reported in present research. These parameters could be used for identifying the fault. On the basis of conclusion drawn for values of these parameters, the system may dynamically adapt and reconfigure itself for better transmission. In present research OPTSIM and MATLAB has been used as Simulation tools.

关键词： OFDM OSNR BER QPSK

Investigating the Evolution of Amati Parameters with Redshift

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Research in Astronomy and Astrophysics 2024年第1期24卷 188-200页

作者： Meghendra singh Darshan singh Kanhaiya lal Pandey Dinkar Verma Shashikant Gupta Delhi Metro Rail Corporation Limited New Delhi 110001India GD Goenka University Gurugram 122103India Department of Physics Mata Raj Kaur Institute of Engineering and TechnologyRewari 123401India Department of Physics School of Advanced SciencesVellore Institute of TechnologyVellore 632014India

Gamma-ray bursts(GRBs) are among the brightest objects in the Universe and, hence, can be observed up to a very high redshift. Properly calibrated empirical correlations between intensity and spectral correlations of GRBs can be used to estimate the cosmological parameters. However, the possibility of the evolution of GRBs with redshift is a long-standing puzzle. In this work, we used 162 long-duration GRBs to determine whether GRBs below and above a certain redshift have different properties. The GRBs are split into two groups, and we fit the Amati relation for each group separately. Our findings demonstrate that estimations of the Amati parameters for the two groups are substantially dissimilar. We perform simulations to investigate whether the selection effects could cause the difference. Our analysis shows that the differences may be either intrinsic or due to systematic errors in the data, and the selection effects are not their true origin. However, in-depth analysis with a new data set comprised of 119 long GRBs shows that intrinsic scatter may partly be responsible for such effects.

关键词： Cosmology gamma rays:general (cosmology:)large-scale structure of universe galaxies:high-redshift

Higher Grain-Filling Rate in Inferior Spikelets of Tolerant Rice Genotype Offset Grain Yield Loss under Post-Anthesis High Night Temperatures

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Rice science 2024年第5期31卷 572-586,I0059-I0061页

作者： Nitin SHARMA Bhupinder singh Subbaiyan Gopala KRISHNAN Haritha BOLLINEDI Pranab Kumar MANDAL Milan Kumar lal Prakash Kumar JHA P.V.Vara PRASAD Anjali ANAND Division of Plant Physiology Indian Council of Agricultural Research(ICAR)-Indian Agricultural Research Institute(IARI)New Delhi 110012India Division of Environment Science ICAR-IARINew Delhi 110012India Division of Genetics ICAR-IARINew Delhi 110012India ICAR-National Institute for Plant Biotechnology New Delhi 110012India Division of Crop Physiology and Biochemistry ICAR-National Rice Research InstituteCuttack 753006India Department of Plant and Soil Sciences Mississippi State UniversityStarkvilleMS 39762USA Feed the Future Innovation Lab for Collaborative Research on Sustainable Intensification Kansas State UniversityManhattanKS 66506USA Department of Agronomy Kansas State UniversityManhattanKS 66506USA

Increased nighttime respiratory losses decrease the amount of photoassimilates available for plant growth and yield. We hypothesized that the increased respiratory carbon loss under high night temperatures(HNT) could be compensated for by increased photosynthesis during the day following HNT exposure. Two rice genotypes, Vandana(HNT-sensitive) and Nagina 22(HNT-tolerant), were exposed to HNT(4 ℃ above the control) from flowering to physiological maturity. They were assessed for alterations in the carbon balance of the source(flag leaf) and its subsequent impact on grain filling dynamics and the quality of spatially differentiated sinks(superior and inferior spikelets). Both genotypes exhibited significantly higher night respiration rates. However, only Nagina 22 compensated for the high respiration rates with an increased photosynthetic rate, resulting in a steady production of total dry matter under HNT. Nagina 22 also recorded a higher grain-filling rate, particularly at 5 and 10 d after flowering, with 1.5- and 4.0-fold increases in the translocation of ^(14)C sugars to the superior and inferior spikelets, respectively. The ratio of photosynthetic rate to respiratory rate on a leaf area basis was negatively correlated with spikelet sterility, resulting in a higher filled spikelet number and grain weight per plant, particularly for inferior grains in Nagina 22. Grain quality parameters such as head rice recovery, high-density grains, and gelatinization temperature were maintained in Nagina 22. An increase in the rheological properties of rice flour starch in Nagina 22 under HNT indicated the stability of starch and its ability to reorganize during the cooling process of product formation. Thus, our study showed that sink adjustments between superior and inferior spikelets favored the growth of inferior spikelets, which helped to offset the reduction in grain weight under HNT in the tolerant genotype Nagina 22.

关键词： high night temperature inferior grain pasting property radiolabeled sugar superior grain

Comprehensive review on ethnomedicinal, phytochemistry and pharmacological profile of Ficus Religiosa L.

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Journal of Traditional Chinese Medicine 2024年第5期44卷 1052-1057页

作者： Rahul Rawat Harish Kumar Neetu singh Aakash Deep Balasubramanian Narasimhan Surender singh Yadav Sanjiv Kumar Department of Pharmaceutical Sciences Chaudhary Bansi Lal University Department of Botany Maharshi Dayanand University Faculty of Pharmaceutical Sciences Maharshi Dayanand University

Ficus religiosa L.(F. religiosa) or sacred fig is a large perennial tree belonging to the family Moraceae or mulberry family. Though the tree has pan-tropical distribution but originally it is indigenous to the Indian subcontinent and Indochina region. Popularly the tree is named "Pepal or bodhi tree". Traditionally, it is practiced for the treatment of asthma, nose bleeding, heart disorders, diabetes, wound healing, ear problems, constipation, hyperlipidemia, gonorrhea, ulcers and infectious disorders. Chemical analysis demonstrated the presence of numerous bioactives including tannins, phenols, saponins, sugars, alkaloids, methionine, terpenoids, flavonoids, glycosides, proteins, separated amino acids, essential and volatile oils and steroids etc., which are probably responsible for its diverse pharmacological actions. The present work is an attempt to compile up-to-date comprehensive information on F. religiosa that covers its taxonomy, ethnomedicinal importance, phytochemistry, pharmacological attributes and clinical trials. Keeping in mind the various health attributes of F. religiosa, future research can be aimed at in-depth elucidation of the structure-function relationship and multifactorial signalings pathways.

关键词： Ficus religiosa clinical trials ethnomedicine health benefits pharmacology phytoconstituents

A Novel Clustering Technique for Efficient Clustering of Big Data in Hadoop Ecosystem

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Big Data Mining and Analytics 2019年第4期2卷 240-247页

作者： Sunil Kumar maninder singh Directorate of Livestock Farms Guru Angad Dev Veterinary and Animal Sciences UniversityLudhiana 141001India Department of Computer Science Punjabi UniversityPunjab 147002India

Big data analytics and data mining are techniques used to analyze data and to extract hidden *** approaches to analysis and extraction do not work well for big data because this data is complex and of very high volume. A major data mining technique known as data clustering groups the data into clusters and makes it easy to extract information from these clusters. However, existing clustering algorithms, such as k-means and hierarchical, are not efficient as the quality of the clusters they produce is compromised. Therefore, there is a need to design an efficient and highly scalable clustering algorithm. In this paper, we put forward a new clustering algorithm called hybrid clustering in order to overcome the disadvantages of existing clustering algorithms. We compare the new hybrid algorithm with existing algorithms on the bases of precision, recall, F-measure, execution time, and accuracy of results. From the experimental results, it is clear that the proposed hybrid clustering algorithm is more accurate, and has better precision, recall, and F-measure values.

关键词： clustering Hadoop big data k-means hierarchical

Big Data Analytics for Healthcare Industry:Impact,Applications,and Tools

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Big Data Mining and Analytics 2019年第1期2卷 48-57页

作者： Sunil Kumar maninder singh the Directorate of Livestock Farms Guru Angad Dev Veterinary and Animal Sciences University the Department of Computer Science Punjabi University

In recent years, huge amounts of structured, unstructured, and semi-structured data have been generated by various institutions around the world and, collectively, this heterogeneous data is referred to as big data. The health industry sector has been confronted by the need to manage the big data being produced by various sources,which are well known for producing high volumes of heterogeneous data. Various big-data analytics tools and techniques have been developed for handling these massive amounts of data, in the healthcare sector. In this paper, we discuss the impact of big data in healthcare, and various tools available in the Hadoop ecosystem for handling it. We also explore the conceptual architecture of big data analytics for healthcare which involves the data gathering history of different branches, the genome database, electronic health records, text/imagery, and clinical decisions support system.

关键词： big data healthcare Hadoop MapReduce

Performance evaluation of nanofluid-based minimum quantity lubrication grinding of Ni-Cr alloy under the influence of CuO nanoparticles

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Advances in Manufacturing 2021年第4期9卷 580-591页

作者： Roshan lal Virdi Sukhpal singh Chatha Hazoor singh Department of Mechanical Engineering Punjabi UniversityPatialaIndia Yadavindra College of Engineering Guru Kashi Punjabi University CampusTalwandi SaboIndia

In machining processes,researchers are actively engaged in exploring minimum quantity lubrication(MQL)as a possible alternative to traditional flood cooling owing to economic and ecological *** search for ecologically safe lubricants has attracted the attention of scientists looking to use vegetable oil as a *** nanofluid MQL technique with biodegradable oils as the base is a relatively new method with the potential to replace mineral *** the present study,the grinding of Inconel-718 alloy was investigated using nanofluid MQL(NFMQL)with biodegradable oils as the *** are composed by dispersing 0.5%(mass fraction)and 1%(mass fraction)of CuO nanoparticles in vegetable *** surface morphology,G-ratio,forces,and grinding energy were examined under pure MQL,NFMQL,and dry and flood lubrication *** experimental results indicated that the nanofluid MQL significantly improved the machining *** to the polishing and rolling effect of nanoparticles on the tool work interface,a surface finish under a 0.5%(mass fraction)nanofluid was found to be better than pure MQL-dry and flood lubrication *** NFMQL technique with 1%(mass fraction)CuO nanoparticles with palm oil as the base helped in achieving a better evacuation of chips from the grinding zone,leading to a better surface finish with a high material removal rate along with less energy consumption compared to flood and dry grinding.

关键词： Minimum quantity lubrication(MQL) Nanoparticles Grinding Vegetable oils Inconel-718 alloy

Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not:A systematic review and meta-analysis

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World Journal of Methodology 2024年第3期14卷 141-162页

作者： Kinza Iqbal Akshat Banga Taha Bin Arif Sawai singh Rathore Abhishek Bhurwal Syeda Kisa Batool Naqvi Muhammad Mehdi Pankaj Kumar Mitali Madhu Salklan Ayman Iqbal Jawad Ahmed Nikhil Sharma Amos lal Rahul Kashyap Vikas Bansal Juan Pablo Domecq Department of Internal Medicine Dow Medical CollegeKarachi 74200Pakistan Department of Internal Medicine Sawai Man Singh Medical CollegeJaipur 302004India Department of Internal Medicine Dr.Sampurnanand Medical CollegeJodhpur 342003RajasthanIndia Department of Gastroenterology and Hepatology Rutgers Robert Wood Johnson School of MedicineNew BrunswickNJ 08901United States Department of Internal Medicine Pandit Bhagwat Dayal Sharma Post Graduate Institute of Medical SciencesRohtak 124001HaryanaIndia Department of Nephrology and Hypertension Mayo ClinicRochesterMN 55905United States Department of Medicine Division of Pulmonary and Critical Care MedicineMayo ClinicRochesterMN 55905United States Department of Research Wellspan HealthYorkPA 17403United States

BACKGROUND Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019(COVID-19)*** is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 *** To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 *** A Literature search was performed on LitCovid PubMed,WHO,and Scopus databases from inception(December 2019)till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with *** primary outcome was the risk of thromboembolic events in COVID-19 patients taking *** outcomes included COVID-19 disease severity,in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection,and *** random effects models were used to calculate crude and adjusted odds ratios(aORs)with 95%confidence intervals(95%CIs).RESULTS Forty-six observational studies met our inclusion *** unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk[n=43851,9 studies,odds ratio(OR)=0.67(0.22,2.07);P=0.49;I2=95%].The association between prior anticoagulation and disease severity was non-significant[n=186782;22 studies,OR=1.08(0.78,1.49);P=0.64;I2=89%].However,pre-hospital anticoagulation significantly increased all-cause mortality risk[n=207292;35 studies,OR=1.72(1.37,2.17);P<0.00001;I2=93%].Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk[aOR=0.87(0.42,1.80);P=0.71],mortality[aOR=0.94(0.84,1.05);P=0.31],and disease severity[aOR=0.96(0.72,1.26);P=0.76].CONCLUSION Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events,improved survival,and lower disease seve

关键词： Prior anticoagulation COVID-19 Prehospital anticoagulation Chronic anticoagulation Mortality Severity Thromboembolic events

Targeting brain tumors with innovative nanocarriers:bridging the gap through the blood-brain barrier

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Oncology Research 2024年第5期32卷 877-897页

作者： KARAN WADHWA PAYAL CHAUHAN SHOBHIT KUMAR RAKESH PAHWA RAVINDER VERMA RAJAT GOYAL GOVIND singh ARCHANA SHARMA NEHA RAO DEEPAK KAUSHIK Department of Pharmaceutical Sciences Maharshi Dayanand UniversityRohtak124001India Department of Pharmaceutical Technology Meerut Institute of Engineering and Technology(MIET)NH-58Delhi-Roorkee HighwayMeerut250005India Institute of Pharmaceutical Sciences Kurukshetra UniversityKurukshetra136119India Department of Pharmaceutical Sciences Chaudhary Bansi Lal UniversityBhiwani127021India MM College of Pharmacy Maharishi Markandeshwar(Deemed to be University)Mullana-AmbalaHaryana133207India Delhi Pharmaceutical Sciences and Research University(DIPSAR) Delhi Pharmaceutical Sciences and Research UniversityNew Delhi110017India

Background:Glioblastoma multiforme(GBM)is recognized as the most lethal and most highly invasive *** high likelihood of treatment failure arises fromthe presence of the blood-brain barrier(BBB)and stemcells around GBM,which avert the entry of chemotherapeutic drugs into the ***:Recently,several researchers have designed novel nanocarrier systems like liposomes,dendrimers,metallic nanoparticles,nanodiamonds,and nanorobot approaches,allowing drugs to infiltrate the BBB more efficiently,opening up innovative avenues to prevail over therapy problems and radiation ***:Relevant literature for this manuscript has been collected from a comprehensive and systematic search of databases,for example,PubMed,Science Direct,Google Scholar,and others,using specific keyword combinations,including“glioblastoma,”“brain tumor,”“nanocarriers,”and several ***:This review also provides deep insights into recent advancements in nanocarrier-based formulations and technologies for GBM *** of various scientific advances in conjunction with encouraging findings concerning the future perspectives and challenges of nanocarriers for effective brain tumor management has also been discussed.

关键词： Glioblastoma Brain tumor Blood-brain barrier Liposomes Metallic nanoparticles Nanocarriers