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Dimensionality reduction based on the classifier models: Performance Issues in the prediction of Lung cancer
Dimensionality reduction is an essential feature to reduce the complexity of the computations in the large data set environment. When handling large quantum of medical data set, as in the case like, Lung cancer prediction, based on symptoms and Risk factors, number of attributes/ dimensions pose a major challenge. Here in this study an attempt is made to compare the performance of the attribute selection models prior and after applying the classifier models. A total of 16 classifier models are chosen, which are based on statistical, rule based, logic based and artificial Neural network approaches. Feature set selection and ranking of attributes are done based on individual models. Confusion matrix of the models before and after dimensionality reduction is computed. Based on the confusion matrix result the models are compared and based on the performance optimal model is chosen. It is found that Multi-layer perceptron based artificial neural network model gives better performance compared to other approaches. 2012 IEEE. -
Dimensionally engineered ternary nanocomposite of reduced graphene oxide/multiwalled carbon nanotubes/zirconium oxide for supercapacitors
Three dimensional (3D) hybrid nanoarchitecture of two-dimensional (2D) reduced graphene oxide/one dimensional (1D) multiwalled carbon nanotube and zero-dimensional (0D) zirconium oxide (ZrO2) nanoparticles (rGO/MWCNT/ZrO2) was synthesised by a simple hydrolysis method for high performance supercapacitors. To unlock the properties of individual materials to the maximum, binaries of ZrO2 with GO and MWCNT were also synthesised. The increased wettability, integrated structure, and the synergistic effect of rGO, MWCNT, and ZrO2 in rGO/MWCNT/ZrO2 (GMZ) offer a capacitance of 357 F g?1 at 1 A g?1 with excellent capacitance retention of 98% across 5000 cycles. 1D structure of MWCNT creates an exceptional conductive network with rGO due to the confinement of electrons and ions without disturbing its electronic structure. The intriguing supercapacitor performance of differently dimensioned framework with ZrO2 emphasises the engineered orientation and tuning of a designed environment for its appropriateness, uniqueness, and sensitivity to push up enhanced performance. 2021 Elsevier B.V. -
Dimensions of Brand Equity: A Hybrid Approach
Subjectivity and emotionality of a brand influence the subconscious motivation of customers. It determines brand loyalty, value of the brand, and sustainability of relationship with the customers. This study explores the qualitative dimensions of brand and aims to analyze the impact of qualitative dimensions of a brand on brand equity. In the present study, a sample of 450 respondents were taken who have positive inclination towards Apple iPhone. The variables of the study were extracted using qualitative research while data were processed using SPSS 20 statistical software. The hybrid approach is used in the study as it delivers better result. The proposed model was validated and the results of the study depict that brand friendliness, emotionality, brand trust, and alignment with the brand personality significantly influence brand equity. The study brings important insights about invisible, intangible, and subjective attributes of the brand. The study can be further used to build another inclusive model by incorporating both qualitative and quantitative aspects of the brand. 2022 KJ Somaiya Institute of Management. -
Dimensions of occupational stress impacting turnover intentions amongst BPO employees: An empirical study
Nowadays, many organizations are confronted with the problem of higher level of employee turnover that brings higher replacement costs to these companies. Especially analysing the current situation in the BPO Industry, it is observed that the turnover intention of call centre employees is greater than its expected level and has become a major threat to their existence. Job stress is one of the major factors which tremendously influences this problem. This study mostly focused upon the impact of job stress (JS) on employee turnover intention (Tl) of call centre employees in the BPO industry. Eight five respondents participated in the study. The study was carried out using the survey method. For the survey, the standardized questionnaire of Osipow (1998) for occupational stress and Rajkumar and Karthik Sridar (2015) for turnover intentions were used. The results revealed that scope of occupational stress, that is, role uncertainty/ambiguity, role boundary, role responsibility, and the physical environment had a substantial significant impact on turnover intentions of employees. The dimensions of occupational stress, that is, role insufficiency and role overload had a slight impact on turnover intentions of employees. The regression model stated that there was dependency between occupational stress and turnover intentions. The study suggested that empowerment should be provided at the workplace so that the employees can minimize their inter role distance and can increase job involvement. To make a productive workforce, the sub - variables of job stress like role stagnation, role isolation, and role overload should also be minimized by working more on the person-organization-fit at the time of recruitment and selection. -
Direct ink writing of nickel oxide-based thin films for room temperature gas detection
The rapid industrial growth and increasing population have led to significant pollution and deterioration of the natural atmospheric environment. Major atmospheric pollutants include NO2 and CO2. Hence, it is imperative to develop NO2 and CO2 sensors for ambient conditions, that can be used in indoor air quality monitoring, breath analysis, food spoilage detection, etc. In the present study, two thin film nanocomposite (nickel oxide-graphene and nickel oxide-silver nanowires) gas sensors are fabricated using direct ink writing. The nano-composites are investigated for their structural, optical, and electrical properties. Later the nano-composite is deposited on the interdigitated electrode (IDE) pattern to form NO2 and CO2 sensors. The deposited films are then exposed to NO2 and CO2 gases separately and their response and recovery times are determined using a custom-built gas sensing setup. Nickel oxide-graphene provides a good response time and recovery time of 10 and 9 s, respectively for NO2, due to the higher electron affinity of graphene towards NO2. Nickel oxide-silver nanowire nano-composite is suited for CO2 gas because silver is an excellent electrocatalyst for CO2 by giving response and recovery times of 11 s each. This is the first report showcasing NiO nano-composites for NO2 and CO2 sensing at room temperature. 2025 Chinese Institute of Electronics. -
Directional solidification and characterization of InBi1?xSbx crystals
Homogeneous and stoichiometric samples of InBi1?xSbx (x=0, 0.1) crystals have been directionally solidified to explore their suitability for optoelectronic applications. Prior to the growth, the temperature distribution of an indigenously fabricated horizontal furnace has been analysed and optimized to conduct the growth experiments on the basis of phase diagram of the material. Systematic trials have been carried out for several growth runs (48, 60 and 72h) by maintaining an axial temperature gradient of 4, 6 and 8C/cm with the aid of a temperature controller mechanism. The key parameters governing the growth mechanism, composition, phase, and structure of the grown InBi1?xSbx crystals were investigated via X-ray diffraction, scanning electron and atomic force microscopy, Raman and Fourier transform infrared spectroscopy. The presence of secondary phases was ruled out and the average congruent melting points of InBi and InBi0.9Sb0.1 samples were confirmed as 109.43 and 121.13C respectively, by employing differential scanning calorimetric analysis. Investigations on the optical, electrical and mechanical properties of these materials were carried out. Vickers microhardness was found to increase with the Sb incorporation. The average optical band gap computed from the IR transmission spectra was found to be 0.165eV. The results obtained promise that InBi1?xSbx crystals grown by directional solidification are favourable candidates than those grown by other melt methods. 2016, Springer Science+Business Media New York. -
Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation
Efficient skin lesion segmentation algorithms are required for computer aided diagnosis of skin cancer. Several algorithms were proposed for skin lesion segmentation. The existing algorithms are short of achieving ideal performance. In this paper, a novel semi-automatic segmentation algorithm is proposed. The fare concept of the proposed is 8-directional search based on threshold for lesion pixel, starting from a user provided seed point. The proposed approach is tested on 200 images from PH2 and 900 images from ISBI 2016 datasets. In comparison to a chosen set of algorithms, the proposed approach gives high accuracy and specificity values. A significant advantage of the proposed method is the ability to deal with discontinuities in the lesion. 2020 World Scientific Publishing Company. -
Dirichlet Feature Embedding with Adaptive Long Short-Term Memory Model for Intrusion Detection System
Intrusion Detection System is applied in the network to monitor the network activity and detect the intruder to protect the user data. Various existing models have been applied in the intrusion detection system and have the limitations of high False Alarm Rate (FAR), overfitting problem and data imbalance problem. In this research, Dirichlet Feature Embedding based Adaptive Long Short Term Memory (DFE-LSTM) model is proposed to improve the efficiency of the intrusion detection. The Dirichlet Feature Embedding (DFE) method is applied to effectively represent the feature to analysis the multi-variate of the input data. The enhanced Adaptive Long Short Term Memory (ALSTM) model is applied to select the optimal parameter for the LSTM model to improve the learning rate. The proposed DFE-ALSTM model is compared to three datasets such as UNSW-NB15, NSL-KDD and Kyoto 2006+ for evaluate the efficiency. The proposed DFE-ALSTM model has the accuracy of 94.32 % and existing NB-SVM has 93.75 % accuracy in intrusion detection on UNSW-NB15 dataset. 2022, Success Culture Press. All rights reserved. -
Dirty Tracks Across the Border: Global Operations of Extraction, Labour and Migration at a Railway Station on the BiharNepal Border
This article is based on an ethnography of the railway siding at Raxaul Junction railway station, a town on the BiharNepal border, which finds itself at the intersection of a massive logistical exercise by China in the form of the Belt Road Initiative, counter-logistical apparatus building by India and incremental hardening of an otherwise open border by Nepal. The article will analyse in detail the intricate network of the labour market that operates at and through the railway siding. It will also trace the origins of commodities used in the cement factories in the industrial corridor of Nepal that are extracted from some of the most deprived regions of India at great human and social costs. Finally, I will describe some of the latest exercises in logistical operations such as containerisation, opening of a new land port, the Integrated Check Post in Raxaul and operationalisation of a new dedicated freight corridor from Vishakhapatnam port to Raxaul, which is reconfiguring the logistical arrangements away from Kolkata and Haldia port and their implications on labour and labour practices. The Raxaul railway siding will be, hence, studied on multiple scales: global, national and local. The article will also try to understand the transformation of this very peculiar border town located on a unique border. This transformation is creating new labour processes, migratory processes and networks, and new modes of production of workers subjectivities and resistance along the global logistical apparatus and supply chains. It will also open up the possibilities of thinking conceptually about South Asian Border Systems. 2024 South Asian University. -
Disaster resilience of flood in Kerala, India
Kerala, the southern state in the Indian peninsula, has been affected by floods for the last three consecutive years. Changing weather patterns leading to heavy monsoon and development without considering the ecological vulnerabilities of the region has been pointed out as the reasons for flooding. Displaced communities, the destruction of agricultural and industrial enterprises, and health concerns have made disaster management a challenge for communities and governments alike. Even though there were lots of difficulties, the way Keralites came out of all these miseries and their adaptation was really inexplicable and always provided scope for research in that area. This paper focuses on examining the flooding pattern and impact of floods in Kerala, India and assessing the resilience capacity of the affected community. Self-developed questionnaires were used to gather data from the flood-affected population in the most flood-affected districts in Kerala. To gauge the respondents' opinions, the questionnaire used a five-point variable Likert scale. When all was said and done, 260 valid questionnaires were successfully retrieved. The study found that communities show resilience to flood with partnership and decentralised management of disasters. The study could help recognise the strategies for building resilient communities through policy intervention and civil society participation. Published under licence by IOP Publishing Ltd. -
Disclosure of University Social Responsibility A Review of Select Higher Educational Institutions
This paper explores the disclosure of university social responsibility by higher educational institutions. Based on the disclosure of information on institutional websites, 39 universities were selected for the study. The data, which was assessed on the criteria used by regulatory authorities for grading institutions, revealed that while 12 institutions performed above average in most of the criteria, 17 were in the medium range, and 10 performed below average. The study proposes that disclosure of social responsibility activities with adequate evidence from institutional websites can attract more viewers and prospective students. 2023 Tata Institute of Social Sciences. All rights reserved. -
Discontinuities in the trajectory of solar photovoltaic (SPV) technology development in India
The objective of this paper is to understand different phases of solar photovoltaic (SPV) technology in India and the interplay of scientific, technological, economic, and political factors in each of the phases. There are four distinct phases. In the first-phase (1947-1970), SPV technology was recognized as an important source of energy for countries like India. In the second phase (1971-1990), the oil crisis led to the formulation of new scientific and technological initiatives and programs in SPV, but due to a lack of political commitment the initiatives disintegrated. In the third phase (1991-2003), several factors seemed to have undermined the development of SPV sector. Currently in the fourth phase (2003 to the present), India has virtually lost the race for development of photovoltaic technology. Within the context of climate change and resource constraint, India has reformulated its strategy which has taken the form of the Jawaharlal Nehru National Solar Mission Plan (JNNSM).This paper examines how JNNSM influences indigenous attempts in photovoltaic technology development. The paper shows how scientific, technological, economic and political factors have contributed to discontinuities in the development of the technology. Koninklijke Brill Nv, Leiden 2015. -
DISCOURSE OF DISSENT: LANGUAGING RESISTANCE AND CONSCIOUSNESS IN SUBALTERN LITERATURES DALIT AND BLACK
The paper highlights the pivotal role of language in Afro-American and Dalit movements, emphasizing identity affirmation and resistance to dominant aesthetic structures. It examines languages dynamic role in shaping subaltern experiences and fuelling revolutionary movements. While there is some analysis of the significance of literary trends and intellectual current in these parallel movements, a few scholarly inquiriesintegratethelinguisticandstylisticaspectscomprehensively. Thestudyaddresses this critical gap by comparing and contrasting the selected study of these two movements to see their convergences and divergences. We employ the theoretical framework of Subaltern Studies and Distributed Language (DL) to understand socio-political motifs of pre- and post-production of a particular kind of language. The selected poems are closely read and analysed through Critical Discourse Analysis, with close reading as a key technique. It allows for an exploration of the intricate relationship between the linguistic structure, use of lexical items, emotive use of language, connotational significations, and compositional semantics. While selected Black literature poems experimented with internal morpho-syntax and everyday language, Dalit literature bluntly presented harsh facts using multilingualism, a unique Indian linguistic trait, and everyday vocabulary. Copyright 2024 Chandan Kumar, Nivea Thomas K. -
Discovering Consumer Behavior Towards Back-of-Pack Nutrition Labels: A Systematic Literature Review
This systematic literature review aims to examine the impact of back-of-pack (BOP) labels on food manufacturers' practices in the field of consumer behaviour research. The review comprehensively analyses a wide range of articles spanning over two decades to provide an up-to-date and comprehensive analysis of the subject matter. It focuses specifically on how BOP labels affect consumers, food manufacturers' behaviors and practices. The findings highlight that BOP labels conveying intuitive information effectively prompt product reformulation, particularly in reducing unhealthy nutrients such as sodium, sugar, and calories. Voluntary BOP labeling has limited uptake and is often applied to already healthier products. Consumers and food producers' response varies based on label design and enforcement type, suggesting strategic labeling of healthier choices. The review provides valuable insights for future public health research and policymaking efforts, emphasizing the importance of mandatory policies and specific guidance in BOP labels. This research brings novelty by comprehensively examining the impact of back-of-pack (BOP) labeling on consumers and food manufacturers' practices. The findings contribute to the literature by highlighting the differential effects of mandatory and voluntary BOP labeling approaches and offering insights into label design and enforcement types. As per the researcher knowledge there is no available systematic literature review (SLR) specifically focusing on BOP labeling in recent years. Future research should explore the long-term impacts of mandatory versus voluntary BOP labeling on consumer dietary habits and food manufacturers' product reformulation strategies. 2024 The Author(s). -
Discovering patterns of live birth occurrence before in vitro fertilisation treatment using association rule mining
According to estimates, in-vitro fertilisation (IVF) is credited for the delivery of over 9 million children globally, constituting it to be a highly remarkable as well as commercialised advanced healthcare treatment. Nonetheless, the majority of IVF treatments are now constrained by factors such as expense, access and most notably, labour-intensive, technically demanding processes carried out by qualified professionals. Advancement is thus crucial to maintaining the IVF markets rapid growth while also streamlining current procedures. This might also improve access, cost, and effectiveness while also managing therapeutic time efficiently and at a reasonable cost. IVF has become a renowned technique for addressing problems like endometriosis, poor embryo development, hereditary diseases of the parents, issues with the biological function, problems with counteracting agents that harm either eggs or sperm, the limited capacity of semen to penetrate cervical bodily fluid, and lower sperm count that lead to infertility in humans. Copyright 2023 Inderscience Enterprises Ltd. -
Discovering patterns using feature selection techniques and correlation
Term Frequency and inverse document frequency is reported to have a significant contribution for various text categorization, document clustering and many other text mining related tasks. A collection of the applications and the enhancements of the Term Frequency and Inverse Document Frequency based document representation technique is examined in this work. The document representation algorithm is essential in the field of text - script mining. In this algorithm, unstructured data is converted into a vector space model where each related document is considered as a point in the vector space. Related documents come in proximity to the other related documents while the documents that are very far away from being coherent remain different from each other. In this paper, four feature selection techniques are implemented to discover the patterns from a repository of unstructured data by using correlation similarity measure. Analysis and comparison with other existing technique is also included. The validation of the patterns formed is performed by using silhouette values. Experiments are conducted to compare performance. Results indicate that TDMp1 performance is poor compared to others. Springer Nature Switzerland AG 2020. -
Discovering the Micro-Clusters from a group of DHH learners: An approach using machine learning techniques
The e-learning environment is essentially helpful for improving the autonomous learning skills of the DHH learners. Facing numerous resources online, DHH learners need support to choose the right learning materials. This can be done by recommending suitable learning objects to similar types of learners. Hence, this research attempts to explore the possibilities of forming micro clusters from the group of DHH learners to improve the recommendation. As a result of k-means, three different micro clusters are formed. So, from the initial analysis, it is identified that the formation of micro clusters is possible, and features such as communication and learning ways play an important role in forming the well-defined micro clusters. This will definitely help the teachers in traditional classrooms and recommendation engines in e-learning to explore the micro clusters of learners with same learning patterns and communication preferences to appropriately stream the right pedagogical methods. 2024, IGI Global. All rights reserved. -
Discovery of 2716 hot emission-line stars from LAMOST DR5
We present a catalog of 3339 hot emission-line stars (ELSs) identified from 451 695 O, B and A type spectra, provided by LAMOST Data Release 5 (DR5). We developed an automated Python routine that identified 5437 spectra having a peak between 6561 and 6568 False detections and bad spectra were removed, leaving 4138 good emission-line spectra of 3339 unique ELSs. We re-estimated the spectral types of 3307 spectra as the LAMOST Stellar Parameter Pipeline (LASP) did not provide accurate spectral types for these emission-line spectra. As Herbig Ae/Be stars exhibit higher excess in near-infrared and mid-infrared wavelengths than classical Ae/Be stars, we relied on 2MASS and WISE photometry to distinguish them. Finally, we report 1089 classical Be, 233 classical Ae and 56 Herbig Ae/Be stars identified from LAMOST DR5. In addition, 928 B[em]/A[em] stars and 240 CAe/CBe potential candidates are identified. From our sample of 3339 hot ELSs, 2716 ELSs identified in this work do not have any record in the SIMBAD database and they can be considered as new detections. Identification of such a large homogeneous set of emission-line spectra will help the community study the emission phenomenon in detail without worrying about the inherent biases when compiling from various sources. 2021 National Astronomical Observatories, CAS and IOP Publishing Ltd.. -
Discovery of an M-type companion to the Herbig Ae Star V1787 Ori
The intermediate-mass Herbig Ae star V1787 Ori is a member of the L1641 star-forming region in the Orion A molecular cloud. We report the detection of an M-type companion to V1787 Ori at a projected separation of 6.66 arcsec (corresponding to 2577 au), from the analysis of VLT/NACO adaptive optics Ks-band image. Using astrometric data from Gaia DR2, we show that V1787 Ori A and B share similar distance (d ?387 pc) and proper motion, indicating that they are physically associated. We estimate the spectral type of V1787 Ori B to be M5 2 from colour-spectral type calibration tables and template matching using SpeX spectral library. By fitting PARSEC models in the Pan-STARRS colour-magnitude diagram, we find that V1787 Ori B has an age of 8.1$^{+1.7}_{-1.5}$ Myr and a mass of 0.39$^{+0.02}_{-0.05}$ M. We show that V1787 Ori is a pre-main-sequence wide binary system with a mass ratio of 0.23. Such a low-mass ratio system is rarely identified in Herbig Ae/Be binary systems. We conclude this work with a discussion on possible mechanisms for the formation of V1787 Ori wide binary system. 2020 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society. -
Discovery of inverse-Compton X-ray emission and estimate of the volume-averaged magnetic field in a galaxy group
Observed in a significant fraction of clusters and groups of galaxies, diffuse radio synchrotron emission reveals the presence of relativistic electrons and magnetic fields permeating large scale systems of galaxies. Although, these non-thermal electrons are expected to upscatter cosmic microwave background photons up to hard X-ray energies, such inverse-Compton (IC) X-ray emission has so far not been unambiguously detected on cluster/group scales. Using deep, new proprietary XMM-Newton observations (?200 ks of clean exposure), we report a 4.6 ? detection of extended IC X-ray emission in MRC 0116 +111, an extraordinary group of galaxies at z = 0.131. Assuming a spectral slope derived from low frequency radio data, the detection remains robust to systematic uncertainties. Together with low frequency radio data from the Giant Metrewave Radio Telescope (GMRT), this detection provides an estimate for the volume-averaged magnetic field of (1.9 0.3) ?G within the central part of the group. This value can serve as an anchor for studies of magnetic fields in the largest gravitationally bound systems in the Universe. 2023 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.