364
20
11858
-
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
Conference Papers
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/.
Title
A name given to the resource
Effect of phonon-substrate scattering on lattice thermal conductivity of monolayer MoS2
Description
An account of the resource
The effect of phonon-substrate scattering on lattice thermal conductivity (LTC) of supported MoS2 MLs is investigated over a wide temperature range (1
Creator
An entity primarily responsible for making the resource
Patil S.B.; Sankeshwar N.S.; Mulimani B.G.
Source
A related resource from which the described resource is derived
AIP Conference Proceedings, Vol-2265
Publisher
An entity responsible for making the resource available
American Institute of Physics Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2020-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1063/5.0018891" target="_blank" rel="noreferrer noopener">https://doi.org/10.1063/5.0018891</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096625243&doi=10.1063%2F5.0018891&partnerID=40&md5=656bc7279366bd458c5545262f1c5cd8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096625243&doi=10.1063%2f5.0018891&partnerID=40&md5=656bc7279366bd458c5545262f1c5cd8</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 0094243X; ISBN: 978-073542025-0
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil S.B., Department of Physics, Karnatak University, Dharwad, Karnataka, 580003, India; Sankeshwar N.S., Department of Physics, Karnatak University, Dharwad, Karnataka, 580003, India, Department of Physics and Electronics, Christ (Deemed to be University), Bengaluru, Karnataka, 560029, India; Mulimani B.G., Department of Physics, Karnatak University, Dharwad, Karnataka, 580003, India
-
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
Articles
Article
Faculty Publications -Articles
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
Parkinson's Disease Progression Prediction Using Longitudinal Imaging Data and Grey Wolf Optimizer-Based Feature Selection
Subject
The topic of the resource
Feature selection; Grey Wolf Optimizer; Imaging data; Parkinson Disease; Progression Prediction
Description
An account of the resource
This work uses longitudinal imaging data and a feature selection method based on the Grey Wolf Optimizer (GWO) to create a novel method for forecasting the course of Parkinson's disease.Magnetic resonance imaging (MRI) and positron emission tomography (PET) longitudinal imaging data offer important insights into the structural and functional changes in the brain over time. However, because of its great dimensionality, analysing this complicated data might be difficult. We suggest using the GWO-based feature selection method to identify the most informative imaging features related to illness development in order to solve this problem.The Grey Wolf Optimizer is an algorithm that draws inspiration from nature and imitates the way that grey wolves hunt. By effectively locating an ideal subset of features that maximise classification or regression performance, it has demonstrated promising results in feature selection challenges. GWO will be used in our investigation to choose the most pertinent imaging features from the longitudinal data, lowering dimensionality and improving the model's ability to predict outcomes.Using machine learning strategies, we will build a predictive model that includes the chosen features and longitudinal imaging data. We hope to equip clinicians with a tool to forecast the course of each patient's Parkinson's disease by utilising this model. By assisting in early diagnosis, treatment planning, and disease progression monitoring, this predictive skill can ultimately improve the overall management of Parkinson's disease and the quality of life for those who are affected. Our method has great promise for expanding the fields of neurodegenerative disease prediction and personalised therapy because it integrates longitudinal imaging data and the Grey Wolf Optimizer-based feature selection method in a novel way. 2024, Ismail Saritas. All rights reserved.
Creator
An entity primarily responsible for making the resource
Patil S.C.; Mane D.A.; Singh M.; Garg P.; Desai A.B.; Rawat D.
Source
A related resource from which the described resource is derived
International Journal of Intelligent Systems and Applications in Engineering, Vol-12, No. 3s, pp. 441-451.
Publisher
An entity responsible for making the resource available
Ismail Saritas
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="" target="_blank" rel="noreferrer noopener"></a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179358409&partnerID=40&md5=9af5293c613b1a9cbfb7e3119e5ef295" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179358409&partnerID=40&md5=9af5293c613b1a9cbfb7e3119e5ef295</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 21476799
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil S.C., Department of General Medicine, Krishna Vishwa Vidyapeeth, Maharashtra, Karad, India; Mane D.A., Statistician Krishna Vishwa Vidyapeeth, Maharashtra, Karad, India; Singh M., School of Sciences, Christ University, Delhi NCR campus, India; Garg P., St. Andrews Institute of Technology and Management, Gurugram, Haryana, Farrukh Nagar, India; Desai A.B., Department of Computer Science and Engineering, Graphic Era Hill University, Uttarakhand, Dehradun, India; Rawat D., Department of Computer Science & Engineering, Graphic Era Deemed to be University, Uttarakhand, Dehradun, 248002, India
-
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
Conference Papers
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/.
Title
A name given to the resource
An improved AI-driven Data Analytics model for Modern Healthcare Environment
Subject
The topic of the resource
Approach; Improve; Powerful; Progressed; Statistics
Description
An account of the resource
AI-driven statistics analytics is a swiftly advancing and impactful era that is transforming the face of healthcare. By leveraging the energy of AI computing and gadget studying, healthcare organizations can speedy gain insights from their huge datasets, offering a greater comprehensive and personalized approach to hospital therapy and populace health management. This paper explores the advantages of AI-driven statistics analytics in healthcare settings, masking key benefits along with progressed analysis and treatment, better-affected person effects, and financial savings. Moreover, this paper addresses the main challenges associated with AI-pushed analytics and offers potential solutions to enhance accuracy and relevance. In the long run, statistics analytics powered by way of AI gives powerful opportunities to improve healthcare outcomes, and its use is expected to expand within the coming years. 2024 IEEE.
Creator
An entity primarily responsible for making the resource
Patil S.C.; Takkalapally P.; Kasula B.Y.; Logeshwaran J.
Source
A related resource from which the described resource is derived
2024 15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICCCNT61001.2024.10724303" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCCNT61001.2024.10724303</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212928085&doi=10.1109%2FICCCNT61001.2024.10724303&partnerID=40&md5=e37a23c13d472e313d4d7760f9182123" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212928085&doi=10.1109%2fICCCNT61001.2024.10724303&partnerID=40&md5=e37a23c13d472e313d4d7760f9182123</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835037024-9
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patil S.C., United States; Takkalapally P., Lewis University, Department of Engineering, Computing and Mathematical Sciences, United States; Kasula B.Y., University Of The Cumberlands, Dept of Information Technology, Williamsburg, KY, United States; Logeshwaran J., CHRIST (Deemed to be University), Department of Computer Science, Karnataka, Bengaluru, 560029, India
-
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
PHD
PhD
PhD Thesis
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/.
Relation
A related resource
61000438
Title
A name given to the resource
A Novel Approach for Sensitive Crop Disease Prediction Based on Computer Vision Techniques
Subject
The topic of the resource
Computer Science and Engineering
Description
An account of the resource
Agriculture is a vital sector that plays an essential role in ensuring global food security, supporting economic development, and promoting environmental sustainability. Sustainable agriculture is an essential approach that aims to address the diffculties posed by conventional farming practices and ensure the long-term viability of our food production systems. Worldwide, crop leaf diseases seriously threaten food security and agricultural production. Early and accurate detection of crop leaf diseases is essential for effective crop productivity management and food prevention. Computer vision approaches offer promising solutions for automating the identifcation and prediction of crop leaf diseases. Analyzing digital images of plant leaves enables the identifcation of disease characteristics, such as discoloration, lesions, and patterns, which are often imperceptible to the naked eye. Machine Learning (ML) algorithms, such as Convolutional Neural Networks (CNN), have been widely employed in this domain to learn from large datasets of annotated images and accurately classify leaf diseases. The process of crop leaf disease classifcation using computer vision involves several stages. Initially, highresolution images of plant leaves are acquired using cameras or mobile devices. Preprocessing techniques, including image enhancement and noise reduction, are applied to improve image quality. Subsequently, feature extraction approaches extract pertinent data from the images, including texture, shape, and color. Deep Learning (DL) models are then trained and fne-tuned using these extracted features. newlineAlthough computer vision techniques have shown effective results in the classifcation of plant diseases, however, several challenges remain. Tomatoes and Potatoes newlineare widely cultivated and consumed vegetables worldwide and are a primary economic newlinesource for many countries. These sensitive plants are prone to various diseases during newlinegrowth, leading to signifcant losses in productivity and fnancial impact on farmers.
Creator
An entity primarily responsible for making the resource
Patil, Manoj
Source
A related resource from which the described resource is derived
Author's Submission
Publisher
An entity responsible for making the resource available
Christ(Deemed to be University)
Date
A point or period of time associated with an event in the lifecycle of the resource
2025-01-01
Contributor
An entity responsible for making contributions to the resource
Manohar, M
Rights
Information about rights held in and over the resource
Open Access
Format
The file format, physical medium, or dimensions of the resource
PDF
Language
A language of the resource
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/10603/621302" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/621302</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
A name given to the resource
Conference Papers
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/.
Title
A name given to the resource
Customer Segmentation and Future Purchase Prediction using RFM measures
Subject
The topic of the resource
Classification; Clustering; Customer Segmentation; E-Commerce; K-means; Machine Learning; RFM
Description
An account of the resource
Winning in the E-Commerce business race at a competitive age like this requires proper usage of Customer data. Using that database and grouping it in similar segments in terms of spending expenditure, observation time, sex, and location so that every customer falls in a segment of characteristics. This mechanism is called Customer Segmentation. In the modern era of highly compatible technological advancements, Machine Learning Algorithms are being vastly used to bring solutions to these difficult yet essential services. In the field of research methods like simple clustering based on purchase behaviour, buyer targeting or automated customer promotion mechanism by dividing into two major categories, have been worked on. However, ensemble algorithms have come handy where different clustering algorithms are combined to deliver best segmentation. Lately combination techniques like clustering and classification mechanism have also delivered good results where, not only segmentation is done but also classification of existing and new customers are possible into the clusters. Depending on that an effective customer relationship management can really benefit the company to a huge extent. Unlike other studies where clustering was performed directly on RFM table, a different approach was taken in this study where, one dimensional clustering was done individually on Recency, Frequency, Monetary columns, then an overall score was calculated and customers were classified into three segments. However, for a new customer depending on his purchase behaviour he/she also can be classified into any of the categories. 2022 IEEE.
Creator
An entity primarily responsible for making the resource
Patra A.; Khan R.; Vijayalakshmi S.
Source
A related resource from which the described resource is derived
Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 753-759.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICAC3N56670.2022.10073993" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10073993</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152194860&doi=10.1109%2FICAC3N56670.2022.10073993&partnerID=40&md5=63bae2b0707d19530ae73c969c886f34" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152194860&doi=10.1109%2fICAC3N56670.2022.10073993&partnerID=40&md5=63bae2b0707d19530ae73c969c886f34</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-166547436-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patra A., Christ University, Department of Data Science, Lavasa, Pune, India; Khan R., Christ University, Department of Data Science, Lavasa, Pune, India; Vijayalakshmi S., Christ University, Department of Data Science, Lavasa, Pune, India
-
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
Articles
Article
Faculty Publications -Articles
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
PA1 cells containing a truncated DNA polymerase ? protein are more sensitive to gamma radiation
Subject
The topic of the resource
DNA polymerase ?; DNA repair; Molecular docking simulation; Ovarian epithelial carcinoma; Radiotherapy
Description
An account of the resource
Purpose: DNA polymerase ? (Pol?) acts in the base excision repair (BER) pathway. Mutations in DNA polymerase ? (Pol?) are associated with different cancers. A variant of Pol? with a 97 amino acid de-letion (Pol??), in heterozygous conditions with wild-type Pol?, was identified in sporadic ovarian tumor samples. This study aims to evaluate the gamma radiation sensitivity of Pol?? for possible target therapy in ovarian cancer treatment. Materials and Methods: Pol?? cDNA was cloned in a GFP vector and transfected in PA1 cells. Stable cells (PA1Pol??) were treated with60Co sourced gamma-ray (015 Gy) to investigate their radiation sensitivity. The affinity of Pol?? with DNA evaluated by DNA protein in silico docking experiments. Results: The result showed a statistically significant (p < 0.05) higher sensitivity towards radiation at different doses (015 Gy) and time-point (4872 hours) for PA1Pol?? cells in comparison with nor-mal PA1 cells. Ten Gy of gamma radiation was found to be the optimal dose. Significantly more PA-1Pol?? cells were killed at this dose than PA1 cells after 48 hours of treatment via an apoptotic pathway. The in silico docking experiments revealed that Pol?? has more substantial binding potential towards the dsDNA than wild-type Pol?, suggesting a possible failure of BER pathway that results in cell death. Conclusion: Our study showed that the PA1Pol?? cells were more susceptible than PA1 cells to gamma radiation. In the future, the potentiality of ionizing radiation to treat this type of cancer will be checked in animal models. 2022 The Korean Society for Radiation Oncology.
Creator
An entity primarily responsible for making the resource
Patra A.; Nag A.; Chakraborty A.; Bhattacharyya N.
Source
A related resource from which the described resource is derived
Radiation Oncology Journal, Vol-40, No. 1, pp. 66-78.
Publisher
An entity responsible for making the resource available
Department of Radiation Oncology
Date
A point or period of time associated with an event in the lifecycle of the resource
2022-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.3857/roj.2021.00689" target="_blank" rel="noreferrer noopener">https://doi.org/10.3857/roj.2021.00689</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128481705&doi=10.3857%2Froj.2021.00689&partnerID=40&md5=9371dc5e120fbaa914bb2f931a7ed0f9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128481705&doi=10.3857%2froj.2021.00689&partnerID=40&md5=9371dc5e120fbaa914bb2f931a7ed0f9</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access; Green Open Access
Relation
A related resource
ISSN: 22341900
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patra A., Department of Biotechnology, Panskura Banamali College, West Bengal, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, India; Chakraborty A., UGC DAE, Consortium for Scientific Research, Kolkata Centre, Kolkata, India; Bhattacharyya N., Department of Biotechnology, Panskura Banamali College, West Bengal, India
-
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
Articles
Article
Faculty Publications -Articles
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
Moderating influence of critical psychological states on work engagement and personal outcomes in the telecom sector
Subject
The topic of the resource
Critical psychological states (CPSs); Human resources management; Job characteristics model; Job diagnostic survey; Motivation; Organizational behavior; Work engagement
Description
An account of the resource
Organizations want their employees to be engaged with their work, exhibiting proactive behavior, initiative, and responsibility for personal development. Existing literature has a dearth of studies that evaluate all the three key variables that lead to optimal employee performancecritical psychological states (CPSs), work engagement, and personal outcomes. The present study attempts to fill that gap by linking the variable CPSs (which measures experienced meaningfulness, responsibility, and knowledge of results) with the other two. The study surveyed 359 sales personnel in the Indian telecom industry and adopted standardized, valid, and reliable instruments to measure their work engagement, CPSs, and personal outcomes. Analysis was done using structural equation modeling (SEM). Findings indicated that CPSs significantly moderate the relationship between personal outcomes and work engagement. The Author(s) 2014.
Creator
An entity primarily responsible for making the resource
Patrick H.A.; Bhat V.A.
Source
A related resource from which the described resource is derived
SAGE Open, Vol-4, No. 2
Publisher
An entity responsible for making the resource available
SAGE Publications Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2014-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/2158244014538260" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2158244014538260</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907292014&doi=10.1177%2F2158244014538260&partnerID=40&md5=bf5f34fe9c8498fa80ceae80ef677bb2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907292014&doi=10.1177%2f2158244014538260&partnerID=40&md5=bf5f34fe9c8498fa80ceae80ef677bb2</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 21582440
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patrick H.A., Institute of Management, Christ University, Bangalore, Karnataka, India; Bhat V.A., Institute of Management, Christ University, Bangalore, Karnataka, India
-
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
Reviews
Review
Faculty Publications- Reviews
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
Development and Validation of Work Environment Services Scale (WESS)
Subject
The topic of the resource
employee motivation; organizational behavior; scale development; service sector; work environment
Description
An account of the resource
Purpose: This study presents a nine-factor, 32-item measure of work environment scale in the service sector. A healthy work environment is one in which employees trust the people they work for, have pride in what they do, and enjoy working with the people (Levering and Moskowitz, 2004). Methodology: This instrument builds on the conceptual model espoused by Insel and Moos (1974), Gordon (1973), Fletcher and Nusbaum (2010), Amabile et al. (1996), and Spector (2003). The scale included items elicited through a literature review, the use of the Delphi technique with a panel of experts, and tested on 824 full-time employees from nine service sector industries and five major cities in India. Findings: The Work Environment Services Scale (WESS) is a reliable and valid scale useful for measuring the nine work environment factors in the Indian services organization, with its own norms and a detailed manual. Originality/Value: The prevailing scales for measuring work environment do not capture the influence of ethics, recreation facilities, and the impact of social giving on the work environment. Most scales were suitable for sectors in the Western context, and there were no Indian scales measuring service employees' perception of their work environment. 2021 Harold Andrew Patrick et al., published by Sciendo 2021.
Creator
An entity primarily responsible for making the resource
Patrick H.A.; Kareem J.
Source
A related resource from which the described resource is derived
Central European Management Journal, Vol-29, No. 2, pp. 89-120.
Publisher
An entity responsible for making the resource available
Sciendo
Date
A point or period of time associated with an event in the lifecycle of the resource
2021-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.7206/cemj.2658-0845.47" target="_blank" rel="noreferrer noopener">https://doi.org/10.7206/cemj.2658-0845.47</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110662491&doi=10.7206%2Fcemj.2658-0845.47&partnerID=40&md5=a721fa8729e625a903cb8e222a950eb9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85110662491&doi=10.7206%2fcemj.2658-0845.47&partnerID=40&md5=a721fa8729e625a903cb8e222a950eb9</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 26582430
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Review
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patrick H.A., CMS Business School, Jain University, No.17, Seshadri Rd, Gandhi Nagar, 560009, India; Kareem J., School of Education, Christ University, Hosur Road, Karnataka, 560029, India
-
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
Articles
Article
Faculty Publications -Articles
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
Managing workplace diversity: Issues and challenges
Subject
The topic of the resource
Discrimination; Diversity management; Inclusiveness; Stereotype; Workplace diversity
Description
An account of the resource
Diversity management is a process intended to create and maintain a positive work environment where the similarities and differences of individuals are valued. The literature on diversity management has mostly emphasized on organization culture; its impact on diversity openness; human resource management practices; institutional environments and organizational contexts to diversity-related pressures, expectations, requirements, and incentives; perceived practices and organizational outcomes related to managing employee diversity; and several other issues. The current study examines the potential barriers to workplace diversity and suggests strategies to enhance workplace diversity and inclusiveness. It is based on a survey of 300 IT employees. The study concludes that successfully managing diversity can lead to more committed, better satisfied, better performing employees and potentially better financial performance for an organization. The Author(s) 2012.
Creator
An entity primarily responsible for making the resource
Patrick H.A.; Kumar V.R.
Source
A related resource from which the described resource is derived
SAGE Open, Vol-2, No. 2, pp. 1-15.
Publisher
An entity responsible for making the resource available
SAGE Publications Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2012-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/2158244012444615" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2158244012444615</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883254487&doi=10.1177%2F2158244012444615&partnerID=40&md5=26813dbf91c6fc42a45574d88c6d6e25" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883254487&doi=10.1177%2f2158244012444615&partnerID=40&md5=26813dbf91c6fc42a45574d88c6d6e25</a>
Rights
Information about rights held in and over the resource
All Open Access; Gold Open Access
Relation
A related resource
ISSN: 21582440
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patrick H.A., Christ University, Bangalore, Karnataka, India; Kumar V.R., Baldwin Methodist College, Bangalore, Karnataka, India
-
https://archives.christuniversity.in/files/original/77e23fbfdf24be9d24bb97ba6c408db5.png
260dfd20bd6d726ddf81f5acc6e16ed7
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
Articles
Article
Faculty Publications -Articles
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
Intention to Stay as a Moderator on Employee Job Satisfaction and Organizational Citizenship Behavior
Subject
The topic of the resource
Counseling
Description
An account of the resource
International Journal of Management Studies, Statistics & Applied Economics, Vol-2 (2), pp. 65-74. ISSN-2250-0367
Creator
An entity primarily responsible for making the resource
Patrick Harold Andrew and Saradha H.
Publisher
An entity responsible for making the resource available
International Journal of Management Studies, Statistics & Applied Economics
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Language
A language of the resource
English
-
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
Articles
Article
Faculty Publications -Articles
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
Commitment of Information Technology Employees in Relation to Perceived Organizational Justice
Subject
The topic of the resource
CUIM
Description
An account of the resource
The IUP Journal of Organizational Behaviour Vol. XI, No. 3. pp 23-40, ISSN No. 0972-687X
Creator
An entity primarily responsible for making the resource
Patrick, Harold Andrew
Publisher
An entity responsible for making the resource available
The IUP Journal of Organizational Behaviour
Date
A point or period of time associated with an event in the lifecycle of the resource
2012
Language
A language of the resource
English
-
https://archives.christuniversity.in/files/original/1fc1fcb213d72e358895aba9c1ca5174.jpg
68364616d4b871689a336a2cdea8e6d3
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
Articles
Article
Faculty Publications -Articles
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
Socialization tactics and new entrants adjustments in the information technology context /
Subject
The topic of the resource
CUIM
Description
An account of the resource
PES Business Review, Vol. 8, Issue 1, pp.19-28 ISSN No. 0973-919X
Creator
An entity primarily responsible for making the resource
Patrick, Harold Andrew, Saradha H
Publisher
An entity responsible for making the resource available
PES Business Review
Language
A language of the resource
English
-
https://archives.christuniversity.in/files/original/60ad3b152e3ddade76c91dadae9faf7b.jpg
3d4ad6c03dab3b53ac24633f52549c1c
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
Articles
Article
Faculty Publications -Articles
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
Expression of dissatisfaction in relation to managerial leadership strategies and its impact in Iinformation technology organizations /
Subject
The topic of the resource
Computer Science
Description
An account of the resource
Skyline Business Journal, Vol.8, Issue 1, pp.29-35, ISSN: 1998-3425.
Creator
An entity primarily responsible for making the resource
Patrick, Harold Andrew.
Publisher
An entity responsible for making the resource available
Skyline Business Journal
Language
A language of the resource
English
Source
A related resource from which the described resource is derived
<a href="https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183" target="_blank" title="Click Here" rel="noreferrer noopener">https://www.skylineuniversity.ac.ae/sbj/component/jdownloads/?task=download.send&id=61&catid=8&m=0&Itemid=183</a>
-
https://archives.christuniversity.in/files/original/6dc70877c9823d3a28250b9b15aa7d38.pdf
20f026dd03bb0305a2e936b38072aecc
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
Thesis
PhD
PhD Thesis
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
Organizational culture, leadership styles, personal commitment and learning organization:An exploratory study
Subject
The topic of the resource
Education
Description
An account of the resource
There is an accelerating change in the scope of all areas of human existence in this century. There are tidal waves of changes being felt by academicians also. To accept change that provides internal steadiness while moving ahead is one of the challenges academic institutions have to face. To improve an organization's quality there are many routes for organizational development through change.
Creator
An entity primarily responsible for making the resource
Patrick, Jacqueline L - 1044903
Publisher
An entity responsible for making the resource available
CHRIST (Deemed to be University)
Language
A language of the resource
English
Type
The nature or genre of the resource
PhD
-
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
PHD
PhD
PhD Thesis
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/.
Relation
A related resource
61000022
Title
A name given to the resource
Organizational Culture,Leadership Styles,Personal Commitment and Learning Organization An Exploratory Study
Subject
The topic of the resource
Education
Description
An account of the resource
NA
Creator
An entity primarily responsible for making the resource
Patrick, Jacqueline L.
Source
A related resource from which the described resource is derived
Author's Submission
Publisher
An entity responsible for making the resource available
Christ(Deemed to be University)
Date
A point or period of time associated with an event in the lifecycle of the resource
2014-01-01
Contributor
An entity responsible for making contributions to the resource
Swamy, Srikanta S.
Rights
Information about rights held in and over the resource
Open Access
Format
The file format, physical medium, or dimensions of the resource
PDF
Language
A language of the resource
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/10603/365046" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/365046</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
A name given to the resource
Articles
Article
Faculty Publications -Articles
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
Brain Tumor Classification Using an Ensemble of Deep Learning Techniques
Subject
The topic of the resource
Brain tumor; deep learning; ensemble; glioma; meningioma; MRI; pituitary
Description
An account of the resource
The article reflects on the classification of brain tumors where several deep learning (DL) approaches are used. Both primary and secondary brain tumors reduce the patient's quality of life, and therefore, any sign of the tumor should be treated immediately for adequate response and survival rates. DL, especially in the diagnosis of brain tumors using MRI and CT scans, has applied its abilities to identify excellent patterns. The proposed ensemble framework begins with the image preprocessing of the brain MRI to enhance the quality of images. These images are then utilized to train seven DL models and all of these models recognize the features related to the tumor. There are four models which are General, Glioma, Meningioma, and Pituitary tumors or No Tumor model, which helps in reaching a joint profitable prediction and concentrating solely on the strength of the estimation and outcome. This is a significant improvement over all the individual models, attaining a 99. 43% accuracy. The data used in this research was gotten from Kaggle website and comprised of 7023 images belonging to four classes. Future work will focus on increasing the dataset size, investigating additional DL architectures, and enhancing real-Time detection to improve the accuracy of diagnostic scans and their overall relevance to clinical practice. 2013 IEEE.
Creator
An entity primarily responsible for making the resource
Patro S.G.K.; Govil N.; Saxena S.; Kishore Mishra B.; Taha Zamani A.; Ben Miled A.; Parveen N.; Elshafie H.; Hamdan M.
Source
A related resource from which the described resource is derived
IEEE Access, Vol-12, pp. 162094-162106.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ACCESS.2024.3485895" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2024.3485895</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208098560&doi=10.1109%2FACCESS.2024.3485895&partnerID=40&md5=a40b0faf48f63117d0db9c94f405b08d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208098560&doi=10.1109%2fACCESS.2024.3485895&partnerID=40&md5=a40b0faf48f63117d0db9c94f405b08d</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 21693536
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Patro S.G.K., Woxsen University, School of Technology, Hyderabad, 502345, India; Govil N., GLA University, Department of Computer Engineering and Applications (CEA), Mathura, 281406, India; Saxena S., CHRIST University, Department of Computer Science, Bengaluru, 560074, India; Kishore Mishra B., NIST University, Department of Computer Science and Engineering, Berhampur, 761008, India; Taha Zamani A., Northern Border University, Department of Computer Science, Arar, 91431, Saudi Arabia; Ben Miled A., Northern Border University, Department of Computer Science, Arar, 91431, Saudi Arabia; Parveen N., Koneru Lakshmaiah Education Foundation, Department of Computer Science and Engineering, Guntur, 522302, India; Elshafie H., King Khalid University, College of Computer Science, Department of Computer Engineering, Abha, 61421, Saudi Arabia; Hamdan M., South East Technological University, Walton Institute for Information and Communication Systems Science, Waterford, X91 HE36, Ireland
-
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
Conference Papers
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/.
Title
A name given to the resource
Modeling a Logistic Regression based Sustained Approach for Cancer Detection
Subject
The topic of the resource
Binary outcome; Cancer detection; Cancer diagnosis; Logistic regression; Survival analysis; Tumour classification
Description
An account of the resource
This assessment and treatment of cancer may be done using logistic regression. To properly forecast whether a tumour is malignant or benign, the likelihood of binary outcomes may be simulated based on input variables and taken into account for factors like volume, topology and texture. It aids in risk assessment by estimating an individual's likelihood of developing cancer using factors like age-group, relatives past data, life choices and gene based markers. Logistic regression plays an important role in early cancer detection and creating screening tools that identify high-risk individuals through patent characteristics, biomarkers, and medical imaging data. Prediction of the probability of survival based on age, tumor characteristics, treatment options and comorbidities is useful for survival analysis. In a comparative study, logistic regression achieved a high accuracy of 97.4%, along with random forest, in cancer detection and diagnosis. 2023 IEEE.
Creator
An entity primarily responsible for making the resource
Pattanaik A.; Gour P.; Mishra S.; Sharma V.; Alabdeli H.
Source
A related resource from which the described resource is derived
International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 262-267.
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICTEASD57136.2023.10585150" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICTEASD57136.2023.10585150</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199558340&doi=10.1109%2FICTEASD57136.2023.10585150&partnerID=40&md5=23b6ffa81d9583339c094ac207820e51" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199558340&doi=10.1109%2fICTEASD57136.2023.10585150&partnerID=40&md5=23b6ffa81d9583339c094ac207820e51</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 979-835033647-4
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pattanaik A., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Gour P., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Mishra S., KIIT Deemed to Be University, School of Computer Engineering, Odisha, Bhubaneswar, 751024, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India; Alabdeli H., The Islamic University, College of Technical Engineering, Najaf, Iraq
-
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
Conference Papers
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/.
Title
A name given to the resource
Sustainable Climatic Metrics Determination with Ensemble Predictive Analytics
Subject
The topic of the resource
Climate change; Linear regression; Machine learning; Random forest; Sustainability
Description
An account of the resource
Sustainable features are dependent on vital climatic elements that has a prominent impact on the retention of sustainability provided its metrics are in desired domain. Regression analysis and ensemble learning models are some of the predictive analytics methods which were used to detect the association of every feature on sustainable criteria. Weather samples from Delhi during 1970-2020 is used in the research which considers features like humidity, pollutant level, temperature etc which are gathered from several authenticated sites like pollution management unit of India. After analyzing several elements affecting weather endurability, it is noticed that pollutant level and temperature exhibit the highest significance recording 30% and 44% respectively. Also the R-square metric of 86% and 82% was observed with implementation of analytics models. The major conclusion recorded that random forest outperformed regression model and it established the importance of predictive analytics in predicting sustainability results. The research validated the relevance of climatic tracking for regulating sustainability. 2023 IEEE.
Creator
An entity primarily responsible for making the resource
Pattanaik A.; Sharma V.; Kunj K.; Mishra S.; Iwendi C.; Osamor J.
Source
A related resource from which the described resource is derived
2023 4th International Conference on Computation, Automation and Knowledge Management, ICCAKM 2023
Publisher
An entity responsible for making the resource available
Institute of Electrical and Electronics Engineers Inc.
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1109/ICCAKM58659.2023.10449578" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICCAKM58659.2023.10449578</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187553292&doi=10.1109%2FICCAKM58659.2023.10449578&partnerID=40&md5=26a71c24c5e842aa6df092d1ec7e5f76" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187553292&doi=10.1109%2fICCAKM58659.2023.10449578&partnerID=40&md5=26a71c24c5e842aa6df092d1ec7e5f76</a>
Rights
Information about rights held in and over the resource
All Open Access; Green Open Access
Relation
A related resource
ISBN: 979-835039324-8
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Conference paper
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pattanaik A., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Sharma V., Christ (Deemed to Be University), Department of Computational Sciences, Delhi NCR, India; Kunj K., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Mishra S., Kalinga Institute of Industrial Technology, (Deemed to Be University), India; Iwendi C., School of Creative Technologies, University of Bolton, United Kingdom; Osamor J., Glasgow Caledonian University, Department of Cybersecurity and Networks, Glasgow, G4 0BA, United Kingdom
-
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
Book Chapter
Book Chapter
Faculty Publications- Book Chapter
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
Identifying Wage Inequality in Indian Urban Informal Labour Market: A Gender Perspective
Subject
The topic of the resource
Gender; informal employees; labour market; Oaxaca-Blinder decomposition; urban
Description
An account of the resource
This chapter elucidates the wage differential between male and female informal workers in urban labour market by using employment and unemployment survey 61st (2004-2005) round, 68th (2011-2012), and Periodic Labour Force Survey 2019-2020 data of National Sample Survey Office (NSSO) unit level data. This study found that gender inequality not only increased during getting job but also persists after getting job during wage distribution. Based on the Oaxaca-Blinder (OB) decomposition, it is revealed that gender wage inequality is more in the labour market due to the labour market discrimination, that is, unexplained components. Hence, this study helps researcher, policy makers and government to fix the gender wage discrimination issues exist in the Indian labour market. This will enhance economic growth through the rise of the women labour force participation. 2024 A. Vinodan, S. Mahalakshmi, and S. Rameshkumar.
Creator
An entity primarily responsible for making the resource
Pattayat S.S.; Haluwalia S.
Source
A related resource from which the described resource is derived
Informal Economy and Sustainable Development Goals: Ideas, Interventions and Challenges, pp. 335-357.
Publisher
An entity responsible for making the resource available
Emerald Group Publishing Ltd.
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1108/978-1-83753-980-220241018" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83753-980-220241018</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208347562&doi=10.1108%2F978-1-83753-980-220241018&partnerID=40&md5=0142972de5bed9fdcd4de6c924f5eea9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208347562&doi=10.1108%2f978-1-83753-980-220241018&partnerID=40&md5=0142972de5bed9fdcd4de6c924f5eea9</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISBN: 978-183753980-2; 978-183753981-9
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Book chapter
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pattayat S.S., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Haluwalia S., Department of Economics, CHRIST (Deemed to be University), Karnataka, Bangalore, India
-
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
Articles
Article
Faculty Publications -Articles
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
Drivers of Rural Non-farm Sector Employment in India, 19832019
Subject
The topic of the resource
India; Job analysis; rural and regional economics; urban; youth work
Description
An account of the resource
Using the national-level employment and unemployment surveys (NSS and PLFS) and the macro-level data for the period 20052019, this article explores the trends and recent growth patterns of rural non-farm sector employment in India. It also examines the micro-level factors determining individuals preference towards non-farm sector jobs and the macro-level factors responsible for the growth of non-farm sector employment in rural India. The main findings of the study suggest that although rural non-farm sector employment is rising in absolute terms, its growth rate has slackened in recent years. While the level of education and skill training, market wage rates and socio-cultural setups are among the key micro-level factors determining farmnon-farm employment choices of rural folks, at the macro-level, the growth of investment in capital goods, the number of factories, investment in infrastructure development and the growth of the manufacturing sector are crucial for the growth of non-farm sector jobs in India. Based on these findings, it is argued that the improvement of human capabilities through increased investment in education and skill, and the growth of non-farm sector employment through the development of rural infrastructure and industrialization measures, are necessary to sustain the structural transformation and to harness the demographic dividend in India. JEL Codes: J01, J21, J43, J64 2024 Research and Information System for Developing Countries & Institute of Policy Studies of Sri Lanka.
Creator
An entity primarily responsible for making the resource
Pattayat S.S.; Parida J.K.
Source
A related resource from which the described resource is derived
South Asia Economic Journal, Vol-25, No. 1, pp. 45-73.
Publisher
An entity responsible for making the resource available
Sage Publications India Pvt. Ltd
Date
A point or period of time associated with an event in the lifecycle of the resource
2024-01-01
Identifier
An unambiguous reference to the resource within a given context
<a href="https://doi.org/10.1177/13915614231221649" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/13915614231221649</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186572797&doi=10.1177%2F13915614231221649&partnerID=40&md5=3aa8ceb98d55a4e59e025973f20dd9c9" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186572797&doi=10.1177%2f13915614231221649&partnerID=40&md5=3aa8ceb98d55a4e59e025973f20dd9c9</a>
Rights
Information about rights held in and over the resource
Restricted Access
Relation
A related resource
ISSN: 13915614
Format
The file format, physical medium, or dimensions of the resource
Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Pattayat S.S., Department of Economics, Christ University (YPR), Karnataka, Bangalore, India; Parida J.K., School of Economics, University of Hyderabad, Telangana, India