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Single Top Quark Production at D?
Jyoti Joshi
Physics , 2012,
Abstract: We present new measurements of the single top quark production cross section in \ppbar collisions at $\sqrt{s} = 1.96 TeV$ using data corresponding to 5.4 \ifb of integrated luminosity collected by the {\dzero} detector at the Fermilab Tevatron collider. The large mass of the top quark, close to the electroweak symmetry-breaking scale, makes it a good candidate for probing physics beyond the Standard Model, including possible anomalous couplings. We examine the data to study the Lorentz structure of the $Wtb$ coupling, and find that the data prefer the left-handed vector coupling, and set upper limits on the anomalous couplings.
Signal Processing in the MicroBooNE LArTPC
Jyoti Joshi,Xin Qian
Physics , 2015,
Abstract: The MicroBooNE experiment is designed to observe interactions of neutrinos with a Liquid Argon Time Projection Chamber (LArTPC) detector from the on-axis Booster Neutrino Beam (BNB) and off-axis Neutrinos at the Main Injector (NuMI) beam at Fermi National Accelerator Laboratory. The detector consists of a $2.5~m\times 2.3~m\times 10.4~m$ TPC including an array of 32 PMTs used for triggering and timing purposes. The TPC is housed in an evacuable and foam insulated cryostat vessel. It has a 2.5 m drift length in a uniform field up to 500 V/cm. There are 3 readout wire planes (U, V and Y co-ordinates) with a 3-mm wire pitch for a total of 8,256 signal channels. The fiducial mass of the detector is 60 metric tons of LAr. In a LArTPC, ionization electrons from a charged particle track drift along the electric field lines to the detection wire planes inducing bipolar signals on the U and V (induction) planes, and a unipolar signal collected on the (collection) Y plane. The raw wire signals are processed by specialized low-noise front-end readout electronics immersed in LAr which shape and amplify the signal. Further signal processing and digitization is carried out by warm electronics. We present the techniques by which the observed final digitized waveforms, which comprise the original ionization signal convoluted with detector field response and electronics response as well as noise, are processed to recover the original ionization signal in charge and time. The correct modeling of these ingredients is critical for further event reconstruction in LArTPCs.
Evaluation of some Information Retrieval models for Gujarati Ad hoc Monolingual Tasks
Joshi Hardik J.,Pareek Jyoti
Computer Science , 2012,
Abstract: This paper describes the work towards Gujarati Ad hoc Monolingual Retrieval task for widely used Information Retrieval (IR) models. We present an indexing baseline for the Gujarati Language represented by Mean Average Precision (MAP) values. Our objective is to obtain a relative picture of a better IR model for Gujarati Language. Results show that Classical IR models like Term Frequency Inverse Document Frequency (TF_IDF) performs better when compared to few recent probabilistic IR models. The experiments helped to identify the outperforming IR models for Gujarati Language.
Challenges in Retention of Patients in Continuum of HIV-Care in Delhi— Experience of a Decade & Way Ahead  [PDF]
Anil Kumar Gupta, Vandana Dabla, Bipin Chandra Joshi, Sabyasachi Chakraborty, Jiban Jyoti Baishya, Abhinav Gupta
World Journal of AIDS (WJA) , 2014, DOI: 10.4236/wja.2014.44046
Abstract: Retention of the patients in HIV-care is critical for success of Anti Retroviral Treatment (ART) programme to reduce HIV-related morbidity & mortality and prevent emergence of drug resistance. In last decade in Delhi (April 2004 to March 2014), overall 24% HIV-positive patients were lost-to-follow-up (LTFU) at step-1 (testing to enrolment into HIV-care), 7.8% at step-2 (enrolment to ART eligibility), 23.7% at step-3 (eligibility to initiation of ART) and 16.6% at step-4 (initiation to lifelong ART) of retention cascade. About 2/3rd losses at step-4 were within 1st year and 80% within 2 years. The retention of the patients in pre-ART care was 3 times lower than those initiated ART. Only 27.4% patients were in active pre-ART care during 2013. The intensified LTFU tracking (ILT) undertaken during November, 2013 through March, 2014 was not successful in tracking 97% pre-ART LTFU clients due to incomplete addresses/or migration since address proof of patients on enrolment into HIV-care was not mandatory prior to 2009. Amongst patients tracked, 1.5% were alive, 0.24% had disengaged from care while 1.2% had died. After ILT overall “On ART” and “Pre-ART” LTFU rate in the last decade was 15.5% and 45.2%, respectively. The retention cascade of last year from April 2013 to March 2014 showed improvement through strategies adopted in Third Phase of National AIDS Control Programme (NACP-III; 2007-2013), and “On ART” and “Pre-ART” LTFU rates declined to 9.4% and 7.4%, respectively. However, desired at least 90% retention at various steps of the cascade could not be achieved. National Policy of delivering ART services through limited number of standalone ART centers in India, despite its significant success, has limitation of leaky treatment cascade and calls for policy makers to decentralize the programme by its appropriate integration with general health services and task shifting to improve continuum of care.
Part of Speech Tagging of Marathi Text Using Trigram Method
Jyoti Singh,Nisheeth Joshi,Iti Mathur
Computer Science , 2013, DOI: 10.5121/ijait.2013.3203
Abstract: In this paper we present a Marathi part of speech tagger. It is a morphologically rich language. It is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using trigram Method. The main concept of trigram is to explore the most likely POS for a token based on given information of previous two tags by calculating probabilities to determine which is the best sequence of a tag. In this paper we show the development of the tagger. Moreover we have also shown the evaluation done.
Development of Marathi Part of Speech Tagger Using Statistical Approach
Jyoti Singh,Nisheeth Joshi,Iti Mathur
Computer Science , 2013,
Abstract: Part-of-speech (POS) tagging is a process of assigning the words in a text corresponding to a particular part of speech. A fundamental version of POS tagging is the identification of words as nouns, verbs, adjectives etc. For processing natural languages, Part of Speech tagging is a prominent tool. It is one of the simplest as well as most constant and statistical model for many NLP applications. POS Tagging is an initial stage of linguistics, text analysis like information retrieval, machine translator, text to speech synthesis, information extraction etc. In POS Tagging we assign a Part of Speech tag to each word in a sentence and literature. Various approaches have been proposed to implement POS taggers. In this paper we present a Marathi part of speech tagger. It is morphologically rich language. Marathi is spoken by the native people of Maharashtra. The general approach used for development of tagger is statistical using Unigram, Bigram, Trigram and HMM Methods. It presents a clear idea about all the algorithms with suitable examples. It also introduces a tag set for Marathi which can be used for tagging Marathi text. In this paper we have shown the development of the tagger as well as compared to check the accuracy of taggers output. The three Marathi POS taggers viz. Unigram, Bigram, Trigram and HMM gives the accuracy of 77.38%, 90.30%, 91.46% and 93.82% respectively.
Metabolomics Profile of Potato Tubers after Phosphite Treatment  [PDF]
Xingxi Gao, Steven Locke, Junzeng Zhang, Jyoti Joshi, Gefu Wang-Pruski
American Journal of Plant Sciences (AJPS) , 2018, DOI: 10.4236/ajps.2018.94065
Abstract: Phosphite (Phi)-based fungicides are used to control the oomycete Phytophthora infestans which causes late blight disease, the most devastating disease in potatoes. In order to examine the effects of Phi-based fungicides on potato tubers through foliar or post-harvest application, a metabolite profiling approach based on gas chromatography coupled to mass spectrometry (GC-MS) has been established. A total of 132 metabolites were detected using the GC-MS approach. Among these, 34 metabolites were identified after normalization and annotated with a compound name with standard mass spectral library. Metabolomic analysis of Phi-treated plants showed significant differences in the levels of many metabolites especially amino acids. Multivariate statistical approaches, such as principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA), were employed to explore the relationships between metabolites to detect group differences. A good discrimination between the control and the Phi-treated plants was observed, which demonstrated that significant changes in the metabolite profile have been caused by the two different Phi applications (foliar or post-harvest). This finding suggests that the alteration of specific metabolite levels by accumulation of Phi can lead to resistance against the pathogen.
Innovative use of intact seeds of Mucuna monosperma Wight for improved yield of L-DOPA
Shrirang Inamdar,Swati Joshi,Jyoti Jadhav,Vishwas Bapat
Natural Products and Bioprospecting , 2012, DOI: 10.1007/s13659-011-0051-3
Abstract: The drug L-DOPA has been widely used against Parkinson’s disease and is extracted from plants. Due to the increasing demand of this drug, new plant sources need to be discovered in addition to the existing sources. The paper embodies results on Mucuna monosperma, which can be a promising candidate for L-DOPA. The seed powder of this plant contains 5.48% of (dry weight) the drug and when the seeds were soaked in distilled water, content was increased to 6.58%. Different elicitors when added, enhanced the drug level in seed up to 11.8%. The possible rationale behind this increase was confirmed by increase in tyrosinase activity in the seeds. Presence of L-DOPA was confirmed using various analytical techniques as HPLC, HPTLC and NMR. The work demonstrates a potential candidate plant as a source for L-DOPA when a novel method was adopted as described here.
Identification of SNPs in Goats (Capra hircus) using RNA-Seq Analysis
Upasna Sharma,Priyanka Banerjee,Jyoti Joshi,Ramesh Kumar vijh
International Journal of Animal and Veterinary Advances , 2012,
Abstract: Single Nucleotide Polymorphisms (SNPs) have become the marker of choice for genome-wide association studies. In order to provide the best genome coverage for the analysis of performance and production traits, a large number of relatively evenly distributed SNPs are needed. Gene-associated SNPs may fulfill these requirements of large numbers and genome wide distribution. In addition, gene-associated SNPs could themselves be causative SNPs for traits. The main objective of our work was to identify large numbers of gene-associated SNPs using high-throughput next generation sequencing. Transcriptome sequencing was conducted on 2 tissues viz. liver and kidney for 5 breeds of goat (Kanniadu, Osmanabadi, Black Bengal, Changthangi and Sirohi) using Illumina next generation sequencing technology. Approximately 46.4 million reads for Black Bengal, 61.9 from Kanniadu, 58.2 from Changthangi, 47.3 from Osmanabadi, 73.2 from Sirohi were obtained by sequencing gene transcripts derived from kidney while 37, 27.2, 19.4, 56.9 and 80.7 million reads were obtained by gene transcripts derived from liver. The analysis of total number of SNPs in liver and kidney revealed that out of a total of 68597 SNPs in liver, the total number of transversions was 21300 and the number of transitions was 47297. A total of 1574 SNPs of liver were complex. Similarly for kidney the total number of 72047 SNPs were categorised into 22774 transversions and 49273 transitions. The total number of complex SNPs in kidney was 1597. The number of transitions is more than double the number of transversions in both the tissues. Further analysis of transversion revealed a preponderance of cytosine and guanine change compared to other nucleotides. 12863 and 11319 transversions out of 21300 and 22774 transversions respectively for liver and kidney revealed this bias. When multiple individuals with different genetic backgrounds were used, RNA-Seq was very effective for the identification of SNPs. The SNPs identified in this report provides a much needed resource for genetic studies in goat and shall contribute to the development of a highdensity SNP array. Validation and testing of these SNPs using SNP arrays will form the material basis for genome association studies and whole genome-based selection in goats.
Ubiquitous Expression of Genes in tissues of Goat (Capra hircus) Using RNA-seq
Upasna Sharma,Priyanka Banerjee,Jyoti Joshi,Ramesh Kumar vijh
International Journal of Animal and Veterinary Advances , 2012,
Abstract: Since very little information is available on goat transcriptome (only few sequenced genes and ESTs are available in the database), our main aim was to analyze the goat transcriptome for identification of ubiquitous genes through RNA-Seq approach, expression of genes across tissues and analyse the functional pathways which these highly expressed genes follow. RNA-Seq analysis was carried out on 10 tissues of Osmanabadi goats. The data was 2x76 base pair paired end reads generated using Illumina Genome Analyser GAIIx. More than 40 million reads per tissue were generated. The data was mapped using CLC Genomics Workbench on Ensembl cattle (Btau_4.0) genes version 62 downloaded from BioMart. The mapping statistics was discerned for each of the mapped gene for all the 10 tissues. There was a great deal of homology between the genes of cattle and goats and this was expected as both are ruminants and phylogenetically close to one another. The expression profile for genes of each of the 10 tissues was calculated in terms of RPKM values. The differential expression of genes among the different tissues was carried out using 3 algorithms. The genes common among the 3 algorithms were associated with GO IDs and the functional annotation was carried out by estimating the GO term occurrences using CateGOrizer web server. The study revealed that more than 75% genes are ubiquitously expressed (expressed in all tissues) with very limited number of tissue specific genes based on expression values (expressed in only one tissue). These genes are mostly related with the specific functions performed by various tissues.
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