290
20
16481
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Dublin Core
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Title
A name given to the resource
Faculty Publications
Book Chapter
Faculty Publications- Book Chapter
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Joseph, Kadanthottu Sebastian
Title
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Phytochemicals and Biological Activities of Flowers of Hibiscus x rosa-sinensis (Chinese Rose)
Date
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01-01-2026
Source
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Bioactive Compounds in Edible Flowers;pp.209-224
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<a href="https://doi.org/10.1201/9781003645979-11" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781003645979-11</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105029208743?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105029208743?origin=resultslist</a>
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Joseph K.S., Department of Life Sciences, Christ University, Bangalore, India
Description
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The flowers of Hibiscus rosa-sinensis L., are a flowering shrub of Malvaceae family. The plant is commonly known as a Chinese rose or shoe flower. The plant is distributed in the tropical and sub-tropical regions of the world and crossing has led to a large number of cultivars with varying patterns in size, shape, and colour. This chapter provides a comprehensive analysis of the distribution, traditional uses, phytochemical composition, and diverse biological activities associated with the flowers of this ornamental plant. The flowers have played a significant role in various traditions, as a remedy for various ailments and as a source of food. A rich profile of bioactive compounds was observed during phytochemical phytochemical investigations. These bioactive compounds included anthocyanins, flavonols, flavan-3-ols, flavanonols, flavanone, flavones, other phenolic compounds, essential oil, etc. which contributed to the medicinal properties of the flowers. The flower extracts demonstrated various biological activities like Hypolipidemic, Cardioprotective, Hypotensive, Anticancer, Antidiabetic, Cytotoxicity, Antimutagenic, Larvicidal, Anti-inflammatory, Anticonvulsive, Wound Healing, Hepatoprotective, Antioxidant, Antimicrobial, Antifertility, Antispermatogenic, antipyretic among other activities. This chapter bridges ethnopharmacological knowledge with scientific research, showcasing the potential of H. rosa-sinensis flowers in the development of novel therapeutic drugs as well as natural product development. 2026 Hosakatte Niranjana Murthy.
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CRC Press
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ISBN: 978-104058108-7; 978-104107986-6;
Language
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English
Type
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Book chapter
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Restricted Access; Hardcopy may be available in the library
-
https://archives.christuniversity.in/files/original/700f2bc838b1b4793c8ee10f20d6c49d.pdf
93f68b97ecaf175974c6e32b74236014
Dublin Core
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Title
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Thesis
PhD
PhD Thesis
Dublin Core
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Title
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A study on induced path decompositions of graphs
Subject
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Mathematics
Description
An account of the resource
A graph is a discrete structure consisting of a set of objectscalled vertices and another set of objects called edges depicting the relationship between pairs of vertices. Therefore, graphs serve as effective models to study networks of all types such as computer networks, telecommunication networks and social networks. The concept of a graph possesses the unique combination of features like simplicity, visibility, beauty, clarity, elegance and effectiveness
in studying problems dealing with network structures. It might be a simple structure like that of an organizational structure in a college, a complex structure like the world wide web (www) or just an abstract structure consisting of objects that are inter-connected according to some rule.
Creator
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Joseph, Mayamma - 0944304
Publisher
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CHRIST (Deemed to be University)
Language
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English
Type
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PhD
-
Dublin Core
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Title
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PHD
PhD
PhD Thesis
Dublin Core
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Relation
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61000009
Title
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A Study on Induced Path Decompositions of Graphs
Subject
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Mathematics and Statistics
Description
An account of the resource
NA
Creator
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Joseph, Mayamma.
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2012-01-01
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Hamid, I Shaul.
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Open Access
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/369359" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/369359</a>
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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PHD
PhD
PhD Thesis
Dublin Core
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Relation
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61000398
Title
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Green Synthesis of Nano Carbon-Infused Polymer for The Detection of Toxic Heavy Metals
Subject
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Physics and Electronics
Description
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The global population is marching towards greener ways of life. Green nanotechnology, newlinewhich uses carbon nanomaterials for environmental remediation, is the pioneer among the existing strategies for the production, characterization, and applications of carbon nanomaterials derived from sustainable and renewable energy resources. Additionally, easily available natural ingredients are effective carbon precursors for producing carbon dots with newlineenthralling physical and chemical properties. Compared to other approaches, plant-based newlinesynthesis of nanomaterials is more dependable because it is simple, fast, ecologically newlinefriendly, and does not require particular conditions. We report for the first time, the use of a fluorescent nanocarbon material synthesised from plant, Indigofera Tinctora (L.) (IBLH), for the detection of metal ions. This nanomaterial developed using a green synthesis method that aided hydrothermal processing from the leaf extract of IBLH. The IBLH sensor used to detect hazardous metal ions (Pb2+) was very sensitive and selective. Considering the concentration from 1 nM to 100 mM and 100 mM to 1M, developed sensor displayed broad, dual linearity. The limit of detection (LOD) for the sensor appreciable low with 14.74 nM as the detection limit, with a wide and linear response spanning from 1 nM to 1M Cd2+ concentration range. Utilising Ruta Graveolens as the carbon source, we developed ARH-CDs from agricultural waste using chemical-free, one-step hydrothermal procedures that are safe for the environment. The synthesized ARH-CDs showed nano particle size, outstanding water newlinesolubility, great biocompatibility, and appreciable optical characteristics. The FTIR and XPS findings validated the existence of functional groups. such as C-O, C-C, and O-H with various oxygen functional groups, with predominating hydroxyl group, supporting the newlineexistence of CDs. For the selective detection of Hg2+, the synthesized ARH-CDs are employed as a biocompatible fluorescence sensor.
Creator
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Joseph, Neethu
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2024-01-01
Contributor
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B, Manoj
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Open Access
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/598810" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/598810</a>
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Creator
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Joseph, Neethu; Balachandran, Manoj
Title
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Development of Green Synthesized Novel Carbon Dots from Ruta Graveolens L. for Fluorescent and Intracellular Sensing of Mercury Ions in Pico-molar (pm) Concentration
Date
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01-01-2025
Source
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Particle and Particle Systems Characterization;Volume;42;Issue;5;Article No.;2400219;
Identifier
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<a href="https://doi.org/10.1002/ppsc.202400219" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/ppsc.202400219</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85214131657?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85214131657?origin=resultslist</a>
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Joseph N., Department of Electronics, St Joseph's University, 36 Lalbagh Road, Karnataka, Bengaluru, 5600027, India; Balachandran M., Nanocarbon Research Group, Materials Science Research Laboratory, Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India
Description
An account of the resource
Green nanotechnology, which uses carbon nanomaterials for environmental remediation, is the pioneer among the prevailing approaches for the production and characterization. In the present study, highly fluorescent carbon dots (CDs) from Ruta Graveolens (ARH-CD) is developed, and its efficacy as a fluorescent sensor and biomarker is investigated. They act as a fluorescence sensor for Hg2+ over an extensive concentration range of 1 picomolar (pm) to 1 molar (m), with a detection limit as low as 26.75 pm. The studies reveal ARH-CD as an effective biomarker for intracellular toxicity analysis and a fluorescent probe for multi-colored (blue, green, and red) imaging of HEK293 cell lines. After 24 h of incubation, it is found that the ARH material reveals noticeable biocompatibility and visible fluorescence, with a viability of 98.88% at 5 gmL?1 and over 78.33% even at a concentration of 100 gmL?1. The IC50 value for the MTT assay for cell viability results is calculated to be 224.56 4.67 g, which further confirms the appreciable biocompatibility of the ARH-CD. The obtained samples are effective in being inspected for the intracellular detection of Hg2+ and serve as a possible candidate for cell imaging. 2024 Wiley-VCH GmbH.
Subject
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biomarker; green synthesis; heavy metal ion sensing; intercellular detection; nanocarbon sensor
Publisher
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John Wiley and Sons Inc
Relation
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ISSN: 9340866; CODEN: PPCHE
Language
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English
Type
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Article
Rights
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All Open Access; Bronze Open Access
Format
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online
-
https://archives.christuniversity.in/files/original/4d54dbfaabd4bdf4523b2d8148167562.png
ae8597b1fb62da5294ca14f6fc0ece85
Dublin Core
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Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
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Title
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A predictive system for determining the probability of transfer of viruses from animals to humans /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Patent Number: 202141012175, Applicant: Rajesh R.
The study of viruses transmission from animal to human beings is vital since more outbreaks are happing frequently and from a veterinary viewpoint these viruses causes diseases that are economically devastating. The emergence of animal virus in the human population seeks the importance of animals in harbouring infectious agents. Zoonosis is the scientific term referring to any diseases that are transmitted to people by animals.
Creator
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Joseph, Niju P.
Source
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<a href="https://drive.google.com/file/d/1aAPLpWvrah3Cjri9smLIm0F1YH2IelpT/view" target="_blank" title="A predictive system for determining the probability of transfer of viruses from animals to humans /" rel="noreferrer noopener">https://drive.google.com/file/d/1aAPLpWvrah3Cjri9smLIm0F1YH2IelpT/view</a>
Publisher
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Intellectual Property India
Date
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2021-03-24
Language
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English
Type
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Patent
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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Creator
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Joseph, Nimmy Maria; Raveendran, Ritu
Title
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Hijab row verdict in India: A sentimental analysis of user responses on Facebook
Date
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01-01-2025
Source
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First Monday;Volume;30;Issue;2;
Identifier
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<a href="https://doi.org/10.5210/fm.v30i2.13371" target="_blank" rel="noreferrer noopener">https://doi.org/10.5210/fm.v30i2.13371</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85218769165?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85218769165?origin=resultslist</a>
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Joseph N.M., Department of Journalism and Mass Communication, JAIN (Deemed-to-be University), Bengaluru, India; Raveendran R., Department of Media Studies, Christ (Deemed to be University), Bengaluru, India
Description
An account of the resource
The hijab controversy, a hot topic in India since January 2022, emerged from a clash between students and college authorities in Karnataka, a state in India. The dispute made its way to Karnatakas High Court, which, on 15 March 2022, ruled that the hijab was not mandatory for religious practices. This decision stirred widespread debates, especially on social media platforms like Facebook. This study is focused on user reactions in The Times of India Dailys official Facebook page, employing sentiment analysis to decipher public emotions, attitudes, and opinions. Nearly 200 comments posted on the verdict day were analyzed, utilizing the routine activity theory (RAT), spiral of silence theory, and online disinhibition effect. The research introduced a unique model, RAT+A, to enhance analysis. As a significant platform for public discourse, Facebook played a crucial role in capturing diverse societal sentiments and reactions regarding this social issue. 2025, First Monday. All rights reserved.
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First Monday
Relation
A related resource
ISSN: 13960466;
Language
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English
Type
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Article
Rights
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All Open Access; Gold Open Access
Format
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online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Article
Faculty Publications -Articles
Dublin Core
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JOSEPH, PRAJWEL; TANDON, S.N.; GHOSH, S.K.; STALIN, C.S.
Title
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UVIT data release version 7: Regenerated high-level UVIT data products
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Journal of Astrophysics and Astronomy;Volume;46;Issue;2;Article No.;41;
Identifier
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<a href="https://doi.org/10.1007/s12036-025-10069-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12036-025-10069-5</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009537286?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009537286?origin=resultslist</a>
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JOSEPH P., Indian Institute of Astrophysics, Bangalore, 560034, India, Department of Physics and Electronics, Christ University (deemed to be University), Bangalore, 560029, India; TANDON S.N., Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, India; GHOSH S.K., Tata Institute of Fundamental Research, Mumbai, 400005, India; STALIN C.S., Indian Institute of Astrophysics, Bangalore, 560034, India
Description
An account of the resource
Ultra-Violet Imaging Telescope (UVIT) on board AstroSat is an active telescope capable of high-resolution far-ultraviolet imaging (<1.5??) and low-resolution (?/???100) slitless spectroscopy with a field-of-view as large as ? 0.5?. Now almost a decade old, UVIT continues to be operational and generates valuable data for the scientific community. UVIT is also capable of near-ultraviolet imaging (<1.5??); however, the near-ultraviolet channel stopped working in August 2018 after providing data for nearly 3years. This paper gives an overview of the latest version (7.0.1) of the UVIT pipeline and UVIT data release version 7. The high-level products generated using pipeline versions having a major ver. no. 7 will be called UVIT data release version 7. The latest pipeline version overcomes two limitations of the previous version (6.3), namely: (a) inability to combine all episode-wise images; and (b) failure of the astrometry module in a large fraction of the observations. The procedures adopted to overcome these two limitations as well as a comparison of the performance of this new version over the previous one, are presented in this paper. The UVIT data release version 7 products are available at the Indian Space Science Data Center of the Indian Space Research Organization for archival and dissemination from 1 June 2024. New pipeline version is open source and made available on GitHub. Indian Academy of Sciences 2025.
Subject
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astrometry; methods: data analysis; techniques: image processing; Ultraviolet: general
Publisher
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Springer
Relation
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ISSN: 2506335;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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Joseph, Raima; Goel, Nishtha; Shreenithi, Livia; Yogish, Deepa
Title
A name given to the resource
JivaCare: A Smart Health Care Application Integrating Home Remedies for Holistic Well-Being
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
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Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025;
Identifier
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<a href="https://doi.org/10.1109/COMP-SIF65618.2025.10969972" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/COMP-SIF65618.2025.10969972</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004982732?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004982732?origin=resultslist</a>
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The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph R., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Goel N., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Shreenithi L., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Yogish D., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India
Description
An account of the resource
JivaCare is a smart health care application that aims to diagnose common illnesses and recommend home remedies by leveraging advancements in Artificial Intelligence (AI) and Machine Learning (ML). Initially, a custom dataset of diseases and symptoms was used to develop a disease-diagnoses chatbot. However, challenges such as limited accuracy and rigid disease-symptom mapping were identified. To address these, GPT-3.5 API was integrated via RapidAPI, enhancing conversational quality without requiring extensive training while improving response quality. A MySQL database was implemented to store conversational history and session-based memory. Subsequently, the focus transitioned to a text classification approach using a 5,634-sample dataset from HuggingFace. This enabled flexible symptom-to-disease classification, overcoming the limitations of the initial dataset. Five machine learning models were evaluated, with Logistic Regression achieving the highest accuracie of 85 % after fine-tuning its hyperparameters. Additionally, neural network architectures such as GRU, RNN and CNN were also employed, achieving validation accuracies of 76%, 82% and 84%, respectively. The results demonstrate the effectiveness of integrating ML and deep learning techniques for accurate disease prediction and remedy recommendation. This work can establish the foundation for a scalable and user-friendly healthcare system, bridging the gap between AI and personalised natural health benefits. 2025 IEEE.
Subject
The topic of the resource
Healthcare; JivaCare; Logistic Regression; Text Classification
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833153853-8;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
An entity primarily responsible for making the resource
Joseph, Raima; Goel, Nishtha; Shreenithi, Livia; Yogish, Deepa
Title
A name given to the resource
JivaCare: A Smart Health Care Application Integrating Home Remedies for Holistic Well-Being
Date
A point or period of time associated with an event in the lifecycle of the resource
01-01-2025
Source
A related resource from which the described resource is derived
Proceedings of 2025 International Conference on Computing for Sustainability and Intelligent Future, COMP-SIF 2025;
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/COMP-SIF65618.2025.10969972" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/COMP-SIF65618.2025.10969972</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105004982732?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105004982732?origin=resultslist</a>
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Joseph R., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Goel N., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Shreenithi L., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India; Yogish D., School of Engineering and Technology, Christ University, Department of Cse, Bengaluru, India
Description
An account of the resource
JivaCare is a smart health care application that aims to diagnose common illnesses and recommend home remedies by leveraging advancements in Artificial Intelligence (AI) and Machine Learning (ML). Initially, a custom dataset of diseases and symptoms was used to develop a disease-diagnoses chatbot. However, challenges such as limited accuracy and rigid disease-symptom mapping were identified. To address these, GPT-3.5 API was integrated via RapidAPI, enhancing conversational quality without requiring extensive training while improving response quality. A MySQL database was implemented to store conversational history and session-based memory. Subsequently, the focus transitioned to a text classification approach using a 5,634-sample dataset from HuggingFace. This enabled flexible symptom-to-disease classification, overcoming the limitations of the initial dataset. Five machine learning models were evaluated, with Logistic Regression achieving the highest accuracie of 85 % after fine-tuning its hyperparameters. Additionally, neural network architectures such as GRU, RNN and CNN were also employed, achieving validation accuracies of 76%, 82% and 84%, respectively. The results demonstrate the effectiveness of integrating ML and deep learning techniques for accurate disease prediction and remedy recommendation. This work can establish the foundation for a scalable and user-friendly healthcare system, bridging the gap between AI and personalised natural health benefits. 2025 IEEE.
Subject
The topic of the resource
Healthcare; JivaCare; Logistic Regression; Text Classification
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Relation
A related resource
ISBN: 979-833153853-8;
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Rights
Information about rights held in and over the resource
Restricted Access; Hardcopy may be available in the library
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Faculty Publications
Conference Paper
Faculty Publications- Conference Papers
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Creator
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Joseph, Raima; Goswami, Mausumi
Title
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Predicting Stock Market Trends: Machine Learning Approaches of a Possible Uptrend or Downtrend
Date
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01-01-2025
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Communications in Computer and Information Science;Volume;2184 CCIS;pp.376-387
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<a href="https://doi.org/10.1007/978-3-031-71481-8_29" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-71481-8_29</a> <br /><br /><a href="https://www.scopus.com/pages/publications/85208243400?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/85208243400?origin=resultslist</a>
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Joseph R., Department of Computer Science and Engineering, Christ (Deemed to Be) University, Kengeri, Karnataka, Bangalore, 560074, India; Goswami M., Department of Computer Science and Engineering, Christ (Deemed to Be) University, Kengeri, Karnataka, Bangalore, 560074, India
Description
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This paper delves into a statistical analysis of the stock market, emphasizing the significance of accuracy in stock predictions. Large data sets can be handled by machine learning algorithms, which can also forecast outcomes based on past data and spot intricate patterns in financial data. They assist control risks, automate decision-making procedures, and adjust to changing circumstances. Multi-source data can be combined by ML models to provide a comprehensive picture of market circumstances. They can manage intricate, nonlinear interactions, provide impartial analysis, and lessen human bias. Models are able to adjust to shifting market conditions through ongoing learning and retraining. They must, however, exercise caution when deploying models in real-world situations and ensure that they are validated. Although machine learning has advantages for stock market analysis, it must be carefully evaluated for dangers and validated before being used in practical situations. The traditional machine learning model, Logistic Regression has been used in order to predict stock prices. It focuses on binary classification based on the trend of the stock. Through the model training and evaluation and additional analysis done on the results, this research contributes towards obtaining predictions and studying reasons of a possible uptrend or downtrend to further assist companies. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Subject
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Logistic Regression; Machine Learning; Stock Market
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Springer Science and Business Media Deutschland GmbH
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ISSN: 18650929; ISBN: 978-303171480-1;
Language
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English
Type
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Conference paper
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Restricted Access; Hardcopy may be available in the library
-
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PHD
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PhD Thesis
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No Thesis
Title
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A mixed methods study on factors associated with relapse of alcohol use disorder
Subject
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Social Work
Description
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Background: Alcohol use disorder (AUD) is one of the most concerning mental health issues in India. According to the recent survey, Magnitude of Substance Use in India, 2019, 160 million of the countrys population consumes alcohol. About 35.6% are problem drinkers among those who drink, of which 18% are alcohol dependent. Despite the greater understanding of alcohol use disorder (AUD) and the scientific advancements in treatment, relapse remains to be the main challenge in managing AUD. This study aimed at investigating various factors associated with relapse of AUD and presenting an in-depth understanding of it. Methods: A Sequential Explanatory Mixed Methods design was used. In the quantitative phase, 72 relapsed individuals with AUD currently undergoing treatment were compared with 72 individuals previously treated for AUD who maintain total abstinence for a minimum period of one year. Relapsed participants were selected from three private de-addiction centers in Bangalore and abstaining participants were recruited from various Alcoholics Anonymous meetings in Bangalore. The relapsed and sober groups were matched on gender, AUD diagnosis, and previous inpatient alcohol de-addiction treatment. Cloninger's Temperament and Character Inventory-Revised was used to assess the personality profiles of the participants. A sociodemographic and clinical information form was also used to collect data. Six participants were selected purposively from the same sample for in-depth interviews. Data analysis was conducted using SPSS and NVivo for quantitative and qualitative data, respectively. The study protocol was approved by the institutional ethics committee. Results: Bivariate analyses showed a significant difference in Novelty Seeking, Persistence, Self-Directedness, and Self-Transcendence traits between the relapsed and sober participants. Results also suggested that reported use of other substances, post- discharge follow-ups, and living with drinking or drug-using individuals are significantly associated with relapse. Logistic regression displayed incomplete
treatment, use of other substances, and no post-discharge follow-up as predictors of relapse. The qualitative thematic analysis revealed preparedness, motivation, personal
exceptionalism, meaning and purpose, and social and interpersonal as the main relapse-related themes. Conclusions: The findings highlight the importance of treatment engagement, discharge planning, aftercare, and special attention to those presenting with multiple substance use. It also displays a few culture-specific aspects to be considered during treatment, such as preparing the individuals entering treatment to effectively engage, assessing and working with their motivation, and addressing the relationship dynamics.
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Joseph, Saji.
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2022-01-01
Contributor
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K, Hemalatha.
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/426777" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/426777</a>
-
https://archives.christuniversity.in/files/original/10c9962138e3d2749d83dc29ec993c3d.pdf
62063d95253e0de676cb1980ba073eba
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Title
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Thesis
PhD
PhD Thesis
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Title
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A mixed methods study on factors associated with relapse of alcohol use disorder /
Subject
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Social Work
Creator
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Joseph, Saji. - 1444302
Publisher
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CHRIST (Deemed to be University)
Date
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2022-12-31
Language
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English
Type
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PhD
-
Dublin Core
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Title
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PHD
PhD
PhD Thesis
Dublin Core
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Relation
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61000299
Title
A name given to the resource
Effectiveness of the Services Delivered by Special Schools for Children with Intellectual Disability
Subject
The topic of the resource
Social Work
Description
An account of the resource
Special schools are the most widespread in the country among the various models for the education of children with intellectual disabilities. In India, there are large number
of special schools for children with intellectual disabilities, implementing special education programme using various methods and materials. The present research attempts to determine the effectiveness of special schools rendering services for children with intellectual disability. A comprehensive understanding of the practices followed by different special schools would provide more insight into the functioning of special schools that serve children with intellectual disability. This study explores the various practices in special schools and the progress of children in self-care, behaviour and communication after receiving special education. The study also focused on understanding the progress of children with mild, moderate, and severe intellectual disability. The study used mixed research method. A causal design was used to assess special schools' effectiveness with a focus on self-care, behaviour, and communication of children. Both quantitative and qualitative method of data collection and interpretation were done to conclude the study. The self-structured interview schedule was used for qualitative research and collected information from 12 special schools. Cases were developed based on the qualitative data. Within-case and cross-case analysis with thematic analysis were used for analyzing the data. Quantitative data was collected from caretakers of 98 children, using a standardized tool Behavioural Assessment scale for Indian Children with Mental Retardation (BASIC- MR). The impact of special education on the self-care, communication and behaviour of Children with Intellectual Disabilities were analyzed with Wilcoxon Signed Rank test using the baseline data and their progress of the children after five years in special school. The result shows that there are changes in behaviour, self-care and communication of children with ID after they joined special school. The results also highlighted that there is a difference in children's progress based on the level of intellectual disability (mild, moderate and severe). The qualitative analysis explained the best practices exhibited by special schools for children with ID.
Creator
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Joseph, Salomy
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2024-01-01
Contributor
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Thomas, Princy
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/545557" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/545557</a>
-
https://archives.christuniversity.in/files/original/e5b78adbda94f5b24ec1e88e85bb94db.pdf
62beace4ac9ae21d0350c3d863cd74b9
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Title
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MASTERS
Masters' Dissertation
Masters Dissertation
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Title
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Understanding the impact of designs in visual aids in education /
Subject
The topic of the resource
Media Studies
Description
An account of the resource
Visual aids have played a significant role in understanding various messages. Visual aids serve as multipurpose effective tool in understanding concepts that are complex in nature. Not only does visual aids serve as classroom technique in the field of education but also enable the designers to collaborate with the academicians to create deigns that would bridge the gap between study material and better understandings.
Creator
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Joseph, Sharon Miriam. - 1537153
Source
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Master of Arts in Media and Communication Studies
Publisher
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CHRIST (Deemed To Be University)
Date
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2017-02-03
Contributor
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Department of Media Studies
Format
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PDF
Language
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English
Type
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Masters Dissertation
-
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Title
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PHD
PhD
PhD Thesis
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Relation
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61000203
Title
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Psychosocial Well-Being of Adolescents : A Social Group Work Intervention
Subject
The topic of the resource
Social Work
Description
An account of the resource
Social work practice with children and families is one of the most challenging, skilled and rewarding areas of social work practice. Social workers believe that safeguarding children and preventing them from significant harm is a rewarding and challenging way to make a difference in the life of a child, which involves the corporation, consultation and collaboration of many people working effectively together. As highlighted by the United Nations' data disaggregation against the goal of "no one left behind," the absence of data on adolescents needs research on the "second decade." Furthermore, because India has the world's largest adolescent population, studies and policies aimed at developing adolescents' competencies are critical to the country's development; interventions aimed at instilling confidence in underprivileged adolescents to strive for a better future are critical for mitigating inequity. Adolescents from disadvantaged families and whose parents are no longer able to provide adequate care to children are having various psychosocial problems, high risk of violence, exploitation, abuse and neglect and their psychosocial well-being is often insufficiently monitored. This intervention study adopted a quasi-interventional design to measure the effectiveness of social group work in raising the psychological well-being, self-esteem and coping orientation of adolescents in child sponsorship programs. Social group work intervention with 20 sessions was designed in response to the information garnered through the pilot study and administered to the intervention group (n=20). Conducted pre-test and post-test for both intervention group and control group (n=20) and two follow up tests in three months intervals for the intervention group (n=20) using 42 item version of Ryffs scale for psychological well-being, Rosenbergs 10 item self-esteem scale and 54 items A-COPE scale; and data analyzed using SPSS. Comparison between pre and post measurements carried out using paired sample t-test for the intervention group and control group separately, gave out a p value < 0.05 for the intervention group and, > 0. 05 for the control group. Thus, it was proved that the psychological well-being, self-esteem and coping orientation of participants in the intervention group were raised significantly due to
the social group work intervention. Applying refined granularity, this research adds data specifically on adolescents enrolled in child sponsorship programs and sets a blueprint for social group work to raise their psychological well-being, self-esteem and coping orientation. Proposing a conceptual framework for child sponsorship programs, this study recommends the need for operational tie-ups, sustained youth support, training of trainers (ToT) for community animators, preparing individual care plans and training to school social workers and the need of starting walk-in counselling centres and mentoring services. Furthermore, this study suggests additional research in all aspects of its operation, as well as interventions at the group, family, and community levels, for the well-being and empowerment of marginalised adolescents.
Creator
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Joseph, Shinto
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2022-01-01
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Karalam, Sheeja Ramani B.
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
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<a href="http://hdl.handle.net/10603/420564" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/420564</a>
-
https://archives.christuniversity.in/files/original/8136c1487b09d80b324931d2be173f62.pdf
cb6dee2c4fbe2560057f7937bc9f929e
Dublin Core
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Title
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Thesis
PhD
PhD Thesis
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Title
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Psychosocial Well-Being of Adolescents: A Social Group Work Intervention /
Subject
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Sociology and Social work
Creator
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Joseph, Shinto. - 1730087
Publisher
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CHRIST (Deemed to be University)
Date
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2022-12-22
Language
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English
Type
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PhD
-
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Title
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Faculty Publications
Article
Faculty Publications -Articles
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Joseph, Silpa; Pradeep, Divya
Title
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From Vulnerabilities to Social Protection for Migrant Workers: Exploring the Missing Links
Date
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01-01-2026
Source
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Indian Journal of Human Development;
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<a href="https://doi.org/10.1177/09737030261443757" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09737030261443757</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105037767822?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105037767822?origin=resultslist</a>
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Joseph S., Faculty of Economics, Christ Junior College IBDP, Karnataka, Bengaluru, India; Pradeep D., Department of Economics, Christ University, Karnataka, Bengaluru, India
Description
An account of the resource
The article attempts to explore the formal and informal social protection strategies available to the migrant workers in Kerala in the context of the vulnerabilities faced by them. We conducted in-depth qualitative interviews with plywood industry workers in Ernakulam district, which accounts for the highest proportion of migrant workers in Kerala. The narratives obtained from the plywood workers reveal their workplace vulnerabilities, highlighting the failure of private capital in providing decent work and social protection. The Kerala government has attempted to bridge the gap by extending social protection schemes like Aawaz and Roshni exclusively for the welfare of migrant workers. These programmes highlight a progressive approach to policy, recognising these workers as a distinct group within the social protection framework. However, there are some gaps in the implementation of these schemes owing to inadequate coverage, institutional barriers and language constraints. Findings from the study suggest that a comprehensive and collaborative approach must involve an active role of the employer, along with state support, to address the vulnerabilities of the migrant workers. 2026 Institute for Human Development
Subject
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COVID-19; livelihood portfolio theory; Migrant workers; social networks; social protection; vulnerability
Publisher
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Sage Publications India Pvt. Ltd
Relation
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ISSN: 9737030;
Language
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English
Type
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Article
Rights
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Restricted Access; Hardcopy may be available in the library
Format
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online
-
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Title
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PHD
PhD
PhD Thesis
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Relation
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61000355
Title
A name given to the resource
Impact of Integrated Explicit Instruction on Development of Critical Thinking Skills and Dispositions among Adolescents
Subject
The topic of the resource
English
Description
An account of the resource
Critical thinking is an essential skill that is required for survival in the twenty first newlinecentury. Educational institutions are gearing up to align their curriculum to ensure the development of critical thinking skills and dispositions among their candidates. However, there are few empirical studies that layout a clear road map of instructional strategies for the teaching of critical thinking. Given that adolescents are the most receptive to neurobiological skill and disposition development and that Literature is one of the best platforms that connects to real life, this research uses the educational design research method to develop an Integrated Explicit Instruction (IEI) module that could be used in English classes to teach adolescents critical thinking skills and develop in them critical thinking dispositions. This research not only bridges the gap in an empirically tested instructional strategy to teach critical thinking but also lays the foundation for further longitudinal studies that could measure the development of critical thinking skills and dispositions long term in participants who have been exposed to the intervention.
Creator
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Joseph, Sindhu
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2024-01-01
Contributor
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Babu, Kishore Selva.
Rights
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Open Access
Format
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PDF
Language
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English
Type
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PhD
Identifier
An unambiguous reference to the resource within a given context
<a href="http://hdl.handle.net/10603/580313" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/580313</a>
-
Dublin Core
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Title
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PHD
PhD
PhD Thesis
Dublin Core
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Relation
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61000166
Title
A name given to the resource
Design and development of an efficient model for handwritten modi script recognition
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Machine simulation of human reading has caught the attention of computer science newlineresearchers since the introduction of digital computers. Character recognition, a branch of pattern recognition and computer vision, is the process of identifying either printed or handwritten text from document images and converting it into machinecoded text. Character recognition has been successfully implemented for various foreign language scripts like English, Chinese and Latin. In the case of Indian language scripts, the character recognition process is comparatively difficult due to various complexities such as the presence of the vowel modifiers and a large number of characters (class). MODI script is a shorthand form of Devanagari script and it was used as an official script for writing Marathi until 1952. Presently the script is not used officially, but has historical importance. MODI script is a cursive script and the character recognition task is difficult due to various reasons such as variations in the shapes of a character with different individuals and the presence of identical looking characters. MODI documents do not have any word demarcation symbols and that adds to the complexity of the task. The advances in various Machine Learning newlinetechniques have greatly contributed to the success of optical character recognition. newlineThe proposed work is aimed at exploring various Machine Learning techniques/ newlinemethods which can be effectively used in(to) recognizing(recognize) MODI script and newlinebuild a reliable and robust character recognition model for handwritten MODI script. This research work also aims at the development of a Machine Transliteration and text recognition system for MODI manuscripts.
Creator
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Joseph, Solley.
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
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2021-01-01
Contributor
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George, Jossy P.
Rights
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Open Access
Format
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PDF
Language
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English
Type
The nature or genre of the resource
PhD
Identifier
An unambiguous reference to the resource within a given context
<a href="http://hdl.handle.net/10603/426636" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/426636</a>