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Attention Based Meta-Module to Integrate Cervigrams with Clinical Data for Cervical Cancer Identification
Cervical cancer remains a significant burden on public health, particularly in developing countries, where its malignancy and mortality rates are alarmingly high. Early diagnosis stands as a pivotal factor in effectively treating and potentially curing the cervical cancer. This study introduces a novel approach of meta module based on recurrent gate architecture designed to enhance the classification of cervix images efficiently. This innovative framework incorporates a meta module capable of dynamically selecting image modalities most pertinent attributes. Furthermore, it integrates clinical data with extracted image features and employs a range of EfficientNet architectures (B0-B5) for image classification. Our results indicate that the EfficientNet B5 architecture outperforms its counterparts, achieving an AUC (Area Under the Curve) score of 55.1 and an F1-Score of 75.1. Overall, this work represents a crucial step towards improving the early detection of cervical cancer, which in turn can lead to more effective treatment strategies and, ultimately, better outcomes for patients worldwide. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Attention and Representation Learning in Byte-Level Digital Forensics: A Survey of Methods, Challenges, and Applications
Byte-level analysis has become an essential capability in digital forensics, enabling content-based investigation when file system metadata, headers, or structural information are unavailable or unreliable. Recent advances in deep learning allow forensic systems to learn discriminative features directly from raw byte streams; however, the growing diversity of representation strategies, architectural designs, and attention mechanisms makes it difficult to assess their relative effectiveness and practical suitability. This study presents a structured survey of representation learning and attention-based approaches for byte-level digital forensic analysis. We examine statistical, embedding-based, image-based, sequential, and hybrid representations, and analyze how architectural choices and attention mechanisms influence performance, robustness, and scalability. Across the literature, hybrid representations combined with lightweight convolutional backbones and selective attention mechanisms consistently provide a favorable balance between accuracy and computational efficiency. The survey also reviews key forensic applications, including file fragment classification, malware and binary analysis, network payload forensics, and encrypted or compressed data triage. In addition, we critically discuss challenges related to distribution shift, dataset bias, adversarial vulnerability, interpretability, and reproducibility, along with practical considerations for deployment in large-scale forensic pipelines. By synthesizing architectural trends, operational constraints, and reliability concerns, this work identifies critical research gaps and provides a structured foundation for the development of robust and trustworthy byte-level forensic learning systems. (2026), (Science and Information Organization). All rights reserved. -
Attainments of Mission Statements and Programme Educational Objectives in Outcome Based Education for a Degree Programme
The outcome-based education (OBE) assesses the outcomes of the students in the form of attainments. The attainments are of a programme which can be undergraduate, postgraduate or diploma. The OBE are assessed in the form of attainments of programme outcomes (POs), programme educational objectives (PEOs) and attainment of mission statements. The attainments are calculated on the basis of direct and indirect tools. The outcomes of theory and lab courses, projects, and placements are considered direct tools. Indirect tools include several surveys like alumni, curriculum, exit, etc. The attainments are finally calculated by combining direct and indirect tools. The attainments of different batches are compared and assessed. The entire attainment process is covered in this research article, and the attainment of a certain batch is shown by the attainments of PEOs and POs. 2025 IEEE. -
Attachment to God: Narratives of Roman Catholic Priests
This narrative analysis was aimed at exploring the attachment to God narratives of 28 middle-aged Roman Catholic Religious priests rendering their service in various settings in South India. The study found that majority of the Roman Catholic priests had developed representations of a secure attachment to God. Twenty-six priests had developed representations of a secure attachment to God, and two priests of an insecure attachment to God. The Majority of the Roman Catholic priests had developed representations of a secure attachment to more than one spiritual attachment figures. Along with God, most priests had also developed representations of a secure attachment to the Virgin Mary. All the major themes related to attachment to God were found in the narratives of the Roman Catholic Priests. Author(s) 2020. -
ATRSI: Automatic Tag Recommendation for Videos Encompassing Semantic Intelligence
There is a requirement for an automatic semantic-oriented framework for Web video tagging in the epoch of Web 3.0, as Web 3.0 is much denser, intelligent, but more cohesive compared to Web 2.0. This paper proposes the ATRSI framework which is the Automatic Tag Recommender framework which encompasses the semantic-oriented Artificial Intelligence that outgrows the dataset by making the use of informative terms using TF-IDF and bag of words model to build the intermediate semantic network which is further organized using an Lin similarity measure and is optimized using red deer optimization by encompassing the entities from the World Wide Web to focused crawling. RNN is a classifier that is used for the classification of the dataset, it is a strong deep-learning classifier. Semantic-oriented Intelligence is achieved using the CoSim rank and Morisita's overlap index. The bag of lightweight graphs is obtained from the semantic network which is an intermediate knowledge representation mechanism that is further embedded in the intrinsic model. A semantically consistent system for video recommendation, ATRSI outperforms the other baseline models in terms of average accuracy, average precision and F-measure for a variety of recommendations. 2024 IEEE. -
Atman's awakening: Bhagavad Gita's Path to Moksha through Karma Yoga and Atmabodha
Indian psychology is characterized by its diverse and rich traditions that have evolved over several centuries. This chapter tries to fulfill four objectives: 1) To provide a brief overview of the concept of self in Bhagavad Gita; 2) to give a brief overview of the two frameworks for moksha given in the Bhagavad Gita with the help of empirical evidence of current research; 3) to propose a conceptual model using Triguna Framework and Trimarg Framework; and 4) to provide the implications of the proposed model. The chapter begins with an explanation of the Indian philosophical understanding of self from the lens of Bhagavad Gita. In the second section, an effort has been made to compare and contrast the two frameworks given in Bhagavad Gita for Moksha. The last section introduces a conceptual model to enhance sattva guna and reduce the rajas and tamas gunas to attain atmabodha that can have positive psychological implications in modern times. 2024, IGI Global. All rights reserved. -
Atendo: The portable attendence recorder /
Patent Number: 202241019881, Applicant: Kevin Benny.
Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. -
Atendo: The portable attendence recorder /
Patent Number: 202241019881, Applicant: Kevin Benny.
Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. -
Atendo: The portable attendence recorder /
Patent Number: 202241019881, Applicant: Kevin Benny.
Attendance is the fact of being present or absent at a place or an event. One of the most basic things to understand and analyse the response of an event is by recording the attendance of the event. By tracking the sessions attended by the attendees and how long the attendees stay in the event, it is possible to derive a clear picture of how engaged the event was. Attendance monitoring is very important for examining the success or failure of an event. Tracking session attendance is an easy and accurate way to gather attendee feedback and translate this information into useful data. -
At the Interface of Colonial Knowing and Unknowing: A Critical Reading of the Golden Camellia in Amitav Ghoshs River of Smoke
This paper is a critical reading of Amitav Ghoshs fictional representation of modes of acquisition, assimilation and dissemination of colonial knowledge in River of Smoke (2012). The paper highlights the cultural exchange of botanical and horticultural knowledge between Europe and China in the nineteenth century narrativized by Ghosh. The novel illustrates the significance of non-Eurocentric modes of conserving knowledge that would otherwise suffer from the violence of utilitarian models of European epistemology. The paper explicates how Ghosh represents the Chinese as successful in ensuring that the Golden Camelliaa rare flowering variety in Chinais preserved from falling prey to the profiteering logic of botanical expeditions and epistemic hegemony by European naturalists. Using Pramod Nayars imperial cosmopolitanism and Robert Proctors agnotology as critical frames, the paper maps Ghoshs fictional representation of Chinese horticulturists using botanical illustration to disable Europeans from accessing the Golden Camellia. By circulating the nonexistence of the plant variety as the truth, the Chinese horticulturalists in the novel prevent the Golden Camellia from being usurped and profiteered by European botanists and plant traders. The paper also establishes how Ghoshs work functions as a significant addition to works foregrounding the South-South connection in the South Asian literary imagination. 2020 South Asian Literary Association. -
At the frontlines of the invisible: PVDF/MWCNT nanocomposite shields
Polyvinylidene fluoride (PVDF)/multi-walled carbon nanotube (MWCNT) nanocomposites prepared by the solution casting method were examined for their electromagnetic interference shielding effectiveness (EMI-SE) in the frequency range of the X band (8.212.4 GHz). The study revealed that increasing MWCNT concentration significantly enhances the electrical conductivity, and EMI shielding performance of the PVDF matrix. Scanning electron microscopy (SEM) confirmed uniform dispersion of MWCNTs within the polymer matrix, contributing to the formation of an effective conductive network. As the MWCNT concentration increased, a transition from insulating to conductive behaviour was observed, with 6 wt% MWCNT composites achieving a conductivity of 0.058 S?cm?1 and an EMI-SE of 22.5 dB. These results demonstrate that PVDF/MWCNT nanocomposites are promising materials for lightweight and efficient EMI shielding applications. 2025 Informa UK Limited, trading as Taylor & Francis Group. -
Asynchronous Method of Oracle: A Cost-Effective and Reliable Model for Cloud Migration Using Incremental Backups
Cloud Computing has reached a new level in flexibility to provide infrastructure. The proper migration method should be chosen for better cost management and to avoid overpayments to unused resources. So, the migrations from On-Premises to cloud infrastructure is a challenge. The migration can be done in synchronous or asynchronous modes. The synchronous method is mostly used to minimize downtime while doing the cloud migrations. The asynchronous methods can do the migrations in offline mode and very consistently. This paper addresses various issues related to the synchronous mode of Oracle while doing highly transactional database migrations. The proposed methodology provides a solution with a combination of asynchronous and incremental backups for highly transactional databases. This proposed method will be a more cost-effective and reliable model without compromising consistency and integrity. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Asymmetric dynamic conditional copula correlation and fundamental determinants of interest rate comovement /
Journal of Economic Integration, Vol.34, Issue 4, pp.667-704, ISSN No: 1225-651X. -
Asymmetric dynamic conditional copula correlation and fundamental determinants of interest rate comovement
We study time-varying interest rate comovement and its determinants for the retail banking sector in the euro area over pre-crisis and during crisis, between 2003 and 2018. The analysis is conducted for 11 euro area countries, each classified as either core or periphery. Copula Asymmetric DCC-GARCH is estimated for each country-pair to measure the dynamic interest rate correlations for deposits and loans to households. We then examine the determinants by regressing quarterly correlations on macroeconomic and cross-border linkages, banking, and sociological variables. We also assess the impact of the two crises and of policy initiatives, including negative interest rate, Single Supervisory Mechanism, and Single Regulatory Mechanism. Different panel regressions reveal limited, although varied, influence of determinants on correlations across different products, maturities, and country groups. We conclude that the intrinsic features of the retail banking industry, such as customers' trust, information asymmetry, and political influence, hinder strong interest rate convergence in the euro area. 2019-Center for Economic Integration, Sejong Institution, Sejong University, All Rights Reserved. -
AstroSat's view of kHz quasi-periodic oscillations from 4U 1820?30
This study presents the spectro-temporal analysis of the neutron star low mass X-ray binary 4U 1820?30, using data from three observations conducted by AstroSat 's Soft X-ray Telescope and Large Array X-ray Proportional Counter. Spectral analysis revealed that the source spectra could be modelled using an absorbed blackbody and a multi-temperature disk model along with a Comptonization model with ?=1.24 ? 1.89 and the inner accretion disk located at an distance of ?17 km from the neutron star. This showed the source to be in the hard spectral state. Temporal analysis revealed the presence of kHz quasi-periodic oscillations (QPOs) with frequencies in the 640 ? 1090 Hz range with root mean squared (RMS) amplitudes between 6 ? 10 per cent and quality factors between 8 ? 42. The RMS amplitude?energy and time lag?energy spectra of the upper and lower kHz QPOs hint them to be caused by modulations of photons having a common radiative mechanism. Moreover, the maximum RMS amplitude and time lag exhibited an anti-correlation with mass accretion rate. Using an analytical relation based on the relativistic precession model, the mass of the neutron star in the system was estimated to be 1.8 M?. The emission radius of one of the detected kHz QPOs was estimated to be ? 17 km. 2025 Elsevier B.V. -
AstroSat's view of 4U 1735-44: spectral, temporal, and type I X-ray burst studies
This study utilizes the simultaneous broad-band observations of 4U 1735-44 from AstroSat, offering enhanced spectral and temporal resolution, to investigate its spectral properties, temporal behaviour, and burst characteristics. Spectral, type I X-ray burst, and temporal analyses on 4U 1735-44 were performed using AstroSat/Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC) observations. The hardness-intensity diagram from LAXPC-20 showed a positive correlation between hardness and intensity, with a pattern resembling the banana branch typical of atoll sources. Spectral analysis carried out in the 0.7-20.0 keV energy range, using the model combination - (), suggested a cool accretion disc truncated at a large distance from the neutron star in the system. Time-resolved spectral studies of two type I X-ray bursts detected from the source revealed evidence of photospheric radius expansion, allowing for an estimation of the source distance. Temporal analysis showed the presence of low-frequency quasi-periodic oscillation at 69 Hz (3.3 significance with more than 99 per cent confidence) and prominent noise features below 30 Hz. 2024 The Author(s). -
Assumptions of complete rationality and complete information in economics: A critique /
Economists conceived the discipline of economics to be a science of social relations. In fact they believed that social relations between individuals are moderated and regulated. The Physiocratic, Classical and Neo - classical school which firmly believed in human liberty considered this moderation to be a matter of self regulation1 and also that the laws controlling human association to be as clear as the laws of geometry. Contrary to this economists belonging to the utopian common wealth, and the Marxists school believed the same can be dealt out only through social control by the state.2 Irrespective of ones allegiance to any school of economic thought, human behaviour is central to the study of economics and to its place in knowledge structures as a social science. -
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Associations Between Religious Coping and Anxiety Symptoms Among Emerging Adults in India: Religious Centrality as a Potential Moderator
Anxiety disorders are globally prevalent, with the highest disease burden in low- and middle-income countries. However, most research on protective factors of anxiety is predominantly conducted in high-income countries. Focusing on India, the most populous middle-income country where religion is salient, this study examined the association between religious coping and generalised anxiety symptoms and whether aspects of social identity moderated this association. A religiously and ethnolinguistically diverse sample of emerging adults (N = 484, Mage = 20.48 years) completed measures of religious coping, religious centrality and anxiety. Results indicated that negative religious coping was positively associated with anxiety symptoms, whilst positive religious coping was unrelated to anxiety. Religious centrality did not moderate the relation between religious coping and anxiety. However, ethnolinguistic identity (Northeastern vs. other regions) moderated the association, such that negative religious coping predicted higher concurrent anxiety among Indians from other regions, but not among Northeasterners. Findings support the role of negative religious coping in anxiety and suggest investigations into the role of ethnolinguistic identity as a critical contributing factor to mental health. 2026 The Author(s). International Journal of Psychology published by John Wiley & Sons Ltd on behalf of International Union of Psychological Science. -
Associations Between Early Life Adversity, Moral Development, and Psychopathology in Children and Adolescents: A Cross-Sectional Study
Introduction: Moral psychological development is shaped by socio-cultural and neurobiological factors, with the formation of conscience central to this process. Early Adverse Childhood Experiences (ACEs) have been linked to delays in moral development and increased risk of psychiatric disorders. This study examined how adversity affects conscience functioning, specifically the association between Psychopathological Interference (PI) and delays in Conscience Stages (CS) compared to youth raised in relative advantage. Methods: We analyzed 125 conscience-sensitive psychiatric interviews with youth admitted to a Psychiatric Residential Treatment Facility (PRTF). CS scores were compared with expected stages from community youth, using the Conscience Development Quotient (CDQ = CS attained CS expected 100). PI was rated on a Likert scale, incorporating full psychiatric evaluations, behavioral ratings, and DSM diagnoses. Multiple regression models examined the associations between CDQ, PI, and Clinical Global Assessment of Functioning (CGAF) scores, controlling for six covariates. Results: Participants (mean age, 14.2 years; 59% male, 41% female) exhibited significantly greater distress signals across conscience domains compared to community youth. No differences emerged by age at the onset of ACE. However, lower CDQ was associated with higher PI, earlier ACE onset, DSM Axis II disorders, and lower CGAF. Legal history and ACE count were not significant predictors. The model explained 22.7% of the variance in CDQ (p = 0.00018). Discussion: Findings highlight CDQ as a sensitive measure of developmental impact, beyond simply identifying red flags, consistent with prior ACE research. Retrospective design may limit sensitivity to ACE characteristics. Conclusion: Systematic conscience-sensitive interviewing, attuned to cultural and developmental contexts, may enhance clinical assessment of moral functioning. 2025, Bentham Science Publishers