331 research outputs found
RTA 2012 Proceedings Frontmatter
Frontmatter, Table of Contents, Conference Organization, External Reviewers, Author Index
Professional NoSQL
A hands-on guide to leveraging NoSQL databases NoSQL databases are an efficient and powerful tool for storing and manipulating vast quantities of data. Most NoSQL databases scale well as data grows. In addition, they are often malleable and flexible enough to accommodate semi-structured and sparse data sets. This comprehensive hands-on guide presents fundamental concepts and practical solutions for getting you ready to use NoSQL databases. Expert author Shashank Tiwari begins with a helpful introduction on the subject of NoSQL, explains its characteristics and typical uses, and looks at wher
Context-Driven Engineering Learning Model (CDELM): Companion Teaching Resource and Applied Decision Framework
This Open Science Framework (OSF) project documents the Context-Driven Engineering Learning Model (CDELM), a structured pedagogical framework integrating engineering education with applied decision-making, managerial reasoning, and real-world contextual triggers.
The project serves as a companion academic resource aligned with the Zenodo DOI publication and associated implementation materials. It includes conceptual structure, applied classroom scenarios, framework architecture, and decision-context mapping methodology designed for engineering and management education.
This repository supports transparent dissemination, academic reproducibility, and open scholarly visibility.
Associated DOI:
https://doi.org/10.5281/zenodo.18604436
Author:
Mohit Tiwari
Assistant Professor, Department of Computer Science & Engineering
Bharati Vidyapeeth's College of Engineering, Delhi, Indi
Alpheid shrimps (Crustacea: Decapoda: Alpheidae) of Vietnam
The present paper deals with a collection of alpheid shrimps from Vietnam received by Mr R. Serene, formerly Director the Institute of Oceanography, Nhatrang (Vietnam). Though small in size the material has proved to be fairly rich. It contains 23 species belonging to the genera Alpheopsis Coutiere, Synalpheus Bate and Alpheus Fabricius, the last named genus accounting for all but three species. Two new species, one each belonging to Alpheopsis and Alpheus, have been briefly described by the author (Tiwari, 1962) in an earlier paper. The remaining species are already known and some of them have an extensive distribution in the Indo-West-Pacific
An exploration of pharmacological and psychological interventions in patients with treatment-resistant affective disorders
Preface:The Mood and Anxiety Disorder Service in Southampton is a regional specialistservice for patients with complex and usually treatment-resistant affective disorders, which accepts referrals mainly from secondary care mental health services. Professor David Baldwin is the lead consultant for this service. He has clinical and research expertise in the identification, assessment and treatment of depressive illness and anxiety disorders, and is the lead author of evidence-based treatment guidelines for anxiety disorders.I have worked with Professor David Baldwin since 2008. Through his encouragement and support, I have undertaken a series of pharmacological and psychological interventions in patients with treatment-resistant affective disorders. My dual aims were to examine treatment recommendations within the Service, and to investigate the potential feasibility, effectiveness, and acceptability of non-pharmacological treatment options for groups of patients with severe treatment-resistant depression or generalised anxiety disorder (GAD): partly in the hope that this might inform the development of additional treatment interventions within the local services.Inspection of the medical records of patients referred to the tertiary services inSouthampton allowed an examination of currently offered pharmacological and psychological treatments. I realized that for most patients, and often over long periods of treatment in secondary care mental health services, there had been a lack of non-pharmacological treatments options apart from cognitive behaviour therapy (CBT). This thesis includes a description of patients referred to the Service, including their demographic and clinical characteristics, and current and recommended treatments: and an account of the effectiveness and acceptability of two non-pharmacological group interventions, namely mindfulness-based CBT in patients with highly recurrent unipolar depressive disorder, and Yogic breathing in patients with treatment resistant GA
A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS)
In this article the authors present a novel CAD scheme that integrates nonlinear dimensionality reduction (NLDR) with an unsupervised hierarchical clustering algorithm to automatically identify suspicious regions on the prostate using MRS and hence avoids the need to explicitly identify metabolite peaks.The published version of this article is available at: http://scitation.aip.org/getpdf/servlet/GetPDFServlet?filetype=pdf&id=MPHYA6000036000009003927000001&idtype=cvips&prog=normalThis work was made possible via grants from the Wallace H. Coulter Foundation, New Jersey Commission on Cancer Research, National Cancer Institute (Grant Nos. R01CA136535-01, ARRA-NCl-3 R21CA127186–02S1, R21CA127186–01, and R03CA128081-01), the Society for Imaging Informatics in Medicine (SIIM), The Cancer Institute of New Jersey, and the Life Science Commercialization Award from Rutgers University
Alpheid shrimps (Crustacea: Decapoda: Alpheidae) of Vietnam
The present paper deals with a collection of alpheid shrimps from Vietnam received by Mr R. Serene, formerly Director the Institute of Oceanography, Nhatrang (Vietnam). Though small in size the material has proved to be fairly rich. It contains 23 species belonging to the genera Alpheopsis Coutiere, Synalpheus Bate and Alpheus Fabricius, the last named genus accounting for all but three species. Two new species, one each belonging to Alpheopsis and Alpheus, have been briefly described by the author (Tiwari, 1962) in an earlier paper. The remaining species are already known and some of them have an extensive distribution in the Indo-West-Pacific.Reprinted as: Institut Océanographique de Nha Trang Vietnam, Contribution, nr 83(III
A hierarchical spectral clustering and non-linear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy:
Magnetic Resonance Spectroscopy (MRS) is a unique non-invasive method which has recently been shown to have great potential in screening of prostate cancer (CaP). MRS provides functional information regarding the concentrations of different biochemicals present in the prostate at single or multiple locations within a rectangular grid of spectra superposed on the structural T2-weighted Magnetic Resonance Imaging (MRI). Changes in relative concentration of specific metabolites including choline, creatine and citrate compared to "normal" levels is highly indicative of the presence of CaP. Most previous attempts at developing computerized schemes for automated prostate cancer detection using MRS have been centered on developing peak area quantification algorithms. These methods seek to obtain area under peaks corresponding to choline, creatine and citrate which is then used to compute relative concentrations of these metabolites. However, manual identification of metabolite peaks on the MR spectra, let alone via automated algorithms, is a challenging problem on account of low SNR, baseline irregularity, peak-overlap, and peak distortion. In this thesis work a novel computer aided detection (CAD) scheme for prostate MRS is presented that integrates non-linear dimensionality reduction (NLDR) with an unsupervised hierarchical clustering algorithm to automatically identify cancerous spectra. The methodology comprises of two specific aims. Aim 1 is to first automatically localize the prostate region followed in Aim 2 by automated cancer detection on the prostate obtained in Aim 1. In Aim 1, a hierarchical spectral clustering algorithm is used to distinguish between informative and non-informative spectra in order to localize the region of interest (ROI) corresponding to the prostate. Once the prostate ROI is localized, in Aim 2, a non-linear dimensionality reduction (NLDR) scheme in conjunction with a replicated k-means clustering algorithm is used to automatically discriminate between 3 classes of spectra (normal, CaP, and intermediate tissue classes). Results of qualitative and quantitative evaluation of the methodology over 18 1.5 Tesla (T) in-vivo prostate T2-w and MRS studies obtained from the multi-site, multi-institutional ACRIN trial, for which corresponding histological ground truth of spatial extent of CaP is available, reveal that the CAD scheme has a high detection sensitivity (89.60) and specificity (78.98). Results further suggest that the CAD scheme has a higher detection accuracy compared to such commonly used MRS analysis schemes as z-score and PCA.M.S.Includes bibliographical references (p. 47-49).by Pallavi Tiwar
A new determination of molecular mobility in amorphous materials:
This research investigated how the steady-state and time-resolved emission and intensity of phosphorescence from vanillin (4-hydroxy-3-methoxy benzaldehyde), a commonly used flavor compound, can be used to probe molecular mobility when dispersed within amorphous pure sucrose films. The luminescence properties and photophysical events of vanillin as a triplet state probe in amorphous sucrose films as a function of temperature was successfully characterized. The peak energy, bandwidth and lifetime data suggest that it is sensitive to molecular mobility and can be used monitor molecular mobility in amorphous sucrose films. Time-resolved phosphorescence intensity decays from vanillin were multiexponential both below and above the glass transition temperature, indicating that the pure (single component) amorphous matrix was dynamically heterogeneous on the molecular level.
Vanillin analogs (hydroxy, dihydroxy and ethyl vanillin)) phosphorescence lifetime were found to be extremely sensitive to the local environment in the amorphous sucrose in the glassy state and at the glass-to-rubber transition into the melt, and provided useful insight about the mechanism of vanillin sensitivity to molecular mobility. Based on this the capability of movement of methoxyl group about the C-O bond is thought to be the contributor to sensitivity of vanillin to matrix molecular mobility. The other possibility is that the effect is not that of larger group but rather that of group (like methoxy and ethoxy) not able to hydrogen bond to matrix, which can have a coupling the probe vibrations to the matrix.
Vanillin phosphorescence demonstrated that the average rate of matrix molecular mobility rates increases with an increase in the molecular size and Tg of the sugar in the glucose homologous series. A comparative study of mobility in three excipients sucrose, trehalose and PVP, using vanillin phosphorescence provided useful insight about their stabilizing effect.
The phosphorescence from probes erythrosin B, vanillin and tryptophan was successfully utilized to measure molecular mobility on three different time scales corresponding to each probe in amorphous sucrose and protein film. Molecular mobility was successfully studied in amorphous sucrose films by monitoring phosphorescence from the dual probe combination of erythrosin B: vanillin, erythrosin B: tryptophan and vanillin:tryptophan.Ph.D.Includes bibliographical referencesby Rashmi Satyanarayan Tiwar
Business process improvement using multi-objective optimisation
Business process redesign and improvement has become an increasingly attractive subject in the wider area of business process intelligence. Although there have been many attempts to establish a business process redesign framework, there is little work on the actual optimisation of business processes with given objectives. Furthermore, most of the attempts to optimise a business process are manual and do not involve a formal automated methodology. This paper proposes a process improvement approach for automated multi-objective optimisation of business processes. The proposed framework uses a generic business process model that is formally defined. The formal definition of business processes is necessary to ensure that the optimisation will take place in a clearly defined, repeatable and verifiable way. Multi-objectivity is expressed in terms of process cost and duration as two key objectives for any business process. The business process model is programmed and incorporated into a software optimisation platform where a selection of multi-objective optimisation algorithms can be applied to a business process design. This paper outlines a case study of business process design that is optimised by the state-of-the-art multi-objective optimisation algorithm NSGA2. The results indicate that, although business process optimisation is a highly constrained problem with fragmented search space, a number of alternative optimised business processes that meet the optimisation criteria can be produced. The paper also provides directions for future research in this area
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