Browse Items (16481 total)
Sort by:
-
Possibilities for the Flow of Water and Blood through a Graphene Layer in a Geometry Analogous to Human Arterioles: An Observational Study
Atherosclerosis and aneurysm are two non-communicable diseases that affect the human arterial network. The arterioles undergo dimensional changes that prominently influence the flow of oxygen and nutrients to distal organs and organ systems. Several studies have emerged discussing the various possibilities for the circumstances surrounding the existence of these pathologies. In the present work, we analyze the flow of blood across the stenosis and the aneurysmic sac in contrast with the flow of water to explore alterations in the flow characteristics caused by introduction of the graphene layer. We investigate the blood flow past the graphene layer with varying porosity. The study is undertaken to replace usage of a stent along a blocked artery by inserting a thin layer of graphene along the flow channel in the post-pathological section of the geometry. To explain the flow, a 2D mathematical model is constructed, and the validity and exclusivity of the models solution are examined. When the artery wall is assumed to be inelastic, the computation of the mathematical system is evaluated using a finite element method (FEM) solver. We define a new parameter called critical porosity (Formula presented.) to explore the flow possibilities through the graphene layer. The findings indicate that the flow pattern was adversely affected by the graphene layer that was added to the flow field. The negative impact on the flow could be due to the position of the graphene layer placed. The (Formula presented.) values for the flow of blood across healthy arteriole, stenosed arteriole, and aneurysmic arteriole segments were (Formula presented.) and (Formula presented.) respectively. The critical porosity values were achieved with precision in terms of linear errors (Formula presented.), (Formula presented.), and (Formula presented.), respectively. The consequences of the present study disclose various possible ways to utilize graphene and its compounds in the medical and clinical arena, with a prior exploration of the chemical properties of the compound. The idea and the methodology applied for the present study are novel as there have been no previous research works available in this direction of the research field. 2023 by the authors. -
Post Covid Scenario Effective E-Mentoring System in Higher Education
During Covid-19 pandemic many people and institutions preferred online coaching instead of in person education. The problem with online is that it will be difficult to carry on interconnections between students and professors in that environment. The main constraint for conducting online session is that the people in remote areas may find a difficulty to connect to online sessions having network issues. Electronic mentoring (e-mentoring) is implemented like a website in which the mentor and mentee can communicate with each other. With the help of this mentoring the project can provide a best solution for both the mentor and mentee. They can communicate with each other with the help of online platform and even with the help of emails.This proposed method will help them to keep the track of their academic progress and achievements of students. This article mainly focus on the mentoring through physical and virtual environment in which the mentee will be interacting with the mentor to know the progress of their academics. This article discusses about the website which is developed to fulfill the needs of the student and it discusses about the various stages of development that helped in building the website. Students can share their difficulties and their achievements with the mentor who are assigned for them particularly. In future planning to implement artificial intelligence technique to online mentoring process, this is for the betterment of student's growth. 2023 IEEE. -
Post listing IPO returns and performance in India: An empirical investigation
Objectives: (a) To analyse the performance of Indian IPOs in the short term. (b) To determine the significance of abnormal return of the IPOs. (c) To study the impact of over-subscription, profit after tax, promoters' holdings, issue price and market returns on IPO performance. Design/ Methodology/Approach: This research paper is based on empirical analysis. All the 52 IPO's listed in the NSE (National Stock Exchange, India) during the year 2018 to 2020 were considered for the study. The study is based on secondary data. The daily share price and Nifty-50 index value were taken from NSE website (www.nseindia.com) and other relevant data from red-herring prospectus of the respective company. The research / statistical tools used are: Market adjusted short run performance model, Wealth relative model, 't' test and regression analysis. Scope of the study: The scope of the study is limited to the IPO's listed only in the National Stock Exchange (NSE), India. Period of study: The study covers a period from January 2018 to December, 2020. Limitation of the study: The study considers only the influence of the external factors on the performance of IPOs. Findings: The average IPO return on the first trading day is 13.52%, ranging from -23.15% to 82.16% with standard deviation of 26.72%. The average IPO return on the third trading day was the highest and is found to be14.52%, ranging from -19.22% to 117.55% with standard deviation of 18.57%. The analysis reveals that the over subscription impacts the IPO performance and the other factors namely, issue price, Profit after Tax, market returns and promoters holdings do not influence IPO returns. Originality / Value: This is an original work that analyses the listing gain or loss and the post listing performance of IPO's in India and other factors that might influence the listing gain or loss. Copyright 2021. T. Ramesh Chandra Babu and Aaron Ethan Charles Dsouza. Distributed under Creative Commons Attribution 4.0 International CC-BY 4.0 -
Post trumatic growth in women with breast cancer
Cancer survivors have the potential for personal growth, demonstrating positive changes in personal, interpersonal and socio-cultural functioning.vA diagnosis of cancer, which is perceived as life-threatening and seismic, demands an individual to accommodate changes in all areas of life, often leading to positive adaptive changes known as posttraumatic growth (Tedeschi and Calhoun, 2008). The aim of the present study was to explore what constitutes the experience of posttraumatic growth among women survivors of breast cancer with the objectives of understanding how they make sense of their diagnosis, exploring the strategies through which they negotiate the illness identity, exploring positive and negative changes in newlinethem as a result of the illness experience, and investigating the individual and socio-cultural factors that contribute to the experience of posttraumatic growth in the Indian context. This study employed a newlinequalitative approach using the phenomenological paradigm. Purposive newlinesampling was used to identity thirteen women who were diagnosed with early stage breast cancer (stage one or two) during their reproductive years and had completed cancer treatment i.e. surgery, chemotherapy and newlineradiation therapy at least one year prior to participating in this study. A short form of the Posttraumatic Growth Inventory (2010) was used to screen for positive changes, and Kuppuswamy s scale for socioeconomic status (2015) enabled selection of women belonging to middle class population, to ensure homogeneity within the sample. Semi structured interviews were used to collect data which was analyzed using Interpretative Phenomenological Analysis (IPA). Interview guide validation, member check, inter-coder reliability and an audit trail ensured newlinevalidity of findings. One negative case in the sample displayed a positive attitude and approach, however did not report these changes due to cancer. It may be inferred that spiritual/ philosophical beliefs of the newlineparticipant shaped her worldview to accommodate and accept cancer. -
Post-formalist explanation of academic achievement: Exploring the contribution of John Ogbu and Joe Kincheloe
The present paper attempts to interrogate the existing approach to understand academic achievement in the mainstream educational psychology. The paper explores the persistent question of "why academic achievement gap" in the modern society from the cultural ecological and postformalist framework of John Ogbu and Joe Kincheloe respectively. As mainstream educational psychology limits its scope in the narrowed individualistic lens, paper suggests that dominant identity based curriculum, pedagogy and knowledge may concretize the psychological categories unless revolutionary efforts are made to transcend the boundaries. Thus, paper adopts critical interdisciplinary framework, rejecting positivistic metatheory as an only relevant approach in educational psychology. 2016, De Gruyter Open Ltd. All rights reserved. -
Post-formalist explanation of academic achievement: Exploring the contribution of John Ogbu and Joe Kincheloe
The present paper attempts to interrogate the existing approach to understand academic achievement in the mainstream educational psychology. The paper explores the persistent question of "why academic achievement gap" in the modern society from the cultural ecological and postformalist framework of John Ogbu and Joe Kincheloe respectively. As mainstream educational psychology limits its scope in the narrowed individualistic lens, paper suggests that dominant identity based curriculum, pedagogy and knowledge may concretize the psychological categories unless revolutionary efforts are made to transcend the boundaries. Thus, paper adopts critical interdisciplinary framework, rejecting positivistic metatheory as an only relevant approach in educational psychology. -
Post-Listing Performance of IPOs in Indias Financial Services Sector (20212024): An Industry-Specific Empirical Study
The number of initial public offerings (IPOs) made in the Indian financial services sector between 2021-2024 has increased, due to heightened investor activity. Although the volume of IPO issues has increased, there is limited research on their short-term performance, particularly in the context of industry-specific analysis. This paper will evaluate the performance of IPOs that issue financial services companies in India during the listing period of 20 days using the event study methodology. The daily returns of IPOs and the index (NIFTY 50) are taken to compute market-adjusted short-run performance (MASRP), wealth relative (WR), abnormal returns (AR), and cumulative abnormal returns (CAR). The regression analysis shows that only oversubscription can have a significant effect on the revenue of an IPO in terms of returns. This research has added value by using sector-specific evidence, which may be useful to investors, issuers, and regulators when evaluating short-run IPO efficiencies. 2026 by IGI Global Scientific Publishing. All rights reserved. -
POST-LISTING PRICING PERFORMANCE OF INITIAL PUBLIC OFFERS: INSIGHTS FROM INDIA
The objective of this study is to investigate short-run performance and whether the IPOs are over-priced or under-priced in various window periods. This study applies one-sample t-tests, capital asset pricing models, and market-adjusted excess return to quantify the short-term pricing performance as well as the risk and return of initial public offerings and market indices. The study investigates the claim that post-listing initial public offerings (IPOs) guarantee short-term gains. The twelve months following the listing, in particular, have seen the biggest gains. According to reports, investors who buy shares in IPOs get strong returns in this period. The market-adjusted initial returns for the IPOs registered on the National Stock Exchange between January 2019 and December 2020 have been found to be roughly 44%, per this analysis. 2024 Published by Faculty of Engineering. -
Post-millennials: Psychosocial Characteristics, Determinants of Health and Well-Being, Preventive and Promotive Strategies
The post-millennial generation plays a significant role in the progress and development of every nation. The health and well-being of this generation needs critical focus. Post-millennial are unique, possesses an egalitarian worldview, global and open mind-set, commitment to the environment, society, and others. They are called digital natives due to their familiarity with social media and technology. They are also called snowflake generation due to their characteristics of being gentle and unique. Double income households and well-educated parents and their assistance make them a distinguished population. However, these characteristics are less explored while addressing the health and wellness concerns of this cohort. The present chapter discusses the psychosocial characteristics of the post-millennials and their implications exclusively in the mental health realm. It also presents the strength-based strategies to address the concerns of post-millennials and the significance of evidence-based practices in mental health and sensitizing mental health practitioners about the changing scenario. The Editor(s) (if applicable) and The Author(s), under exclusive license to Taylor and Francis Pte Ltd. 2022. -
Post-Operative Brain MRI Resection Cavity Segmentation Model and Follow-Up Treatment Assistance
Post-operative brain magnetic resonance imaging (MRI) segmentation is inherently challenging due to the diverse patterns in brain tissue, which makes it difficult to accurately identify resected areas. Therefore, there is a crucial need for a precise segmentation model. Due to the scarcity of post-operative brain MRI scans, it is not feasible to use complex models that require a large amount of training data. This paper introduces an innovative approach for accurately segmenting and quantifying post-operative brain resection cavities in MRI scans. The proposed model, named Attention-Enhanced VGG-U-Net, integrates VGG16 initial weights in the encoder section and incorporates a self-attention module in the decoder, offering improved accuracy for postoperative brain MRI segmentation. The attention mechanism enhances its accuracy by concentrating on a specific area of interest. The VGG16 model is comparatively lightweight, has pre-trained weights, and allows the model to extract incredibly detailed information from the input. The model is trained on publicly available post-operative brain MRI data and achieved a Dice coefficient value of 0.893. The model is then assessed using a clinical dataset of postoperative brain MRIs. The model facilitates the quantification of the resected regions and enables comparisons with each brain region based on pre-operative images. The capabilities of the model assist radiologists in evaluating surgical success and directing follow-up procedures. 2024 by the authors of this article. -
Post-Quantum Cryptography for Securing Next-Generation Communication Networks
Advancements in Quantum Key Distribution (QKD) and lattice-based encryption are paving the way for PQC adoption, but challenges remain, such as performance overhead and compatibility with existing infrastructure. It evaluates whether PQC schemes are feasible for real-time applications in high-speed, low-latency networks and analyzes the security-performance trade-offs. We investigate standardized candidates from NIST's PQC Project (e.g., CRYSTALS-Kyber, Dilithium) and their resistance to hybrid attacks. In addition, we also investigate the hardware acceleration (e.g., FPGA, ASIC) approach to alleviate the latency bottleneck. Transition strategies, such as hybrid cryptography (the coupling of classical and PQC algorithms) and zero-trust frameworks to maintain backward compatibility, are a key focus here. We further discuss side-channel vulnerabilities specific to PQC implementations and suggest mitigation strategies. These findings emphasize the need for a continued focus in areas such as scalability, standardization and quantum secure key distribution and the importance of collaboration between academia, industry and policymakers."By tackling these issues, PQC can secure next-gen networks from quantum dangers while aging to be efficient and trustworthy. 2025 IEEE. -
Post-quantum Cryptography in Practice: A Survey of Algorithms, Applications, and Deployment Challenges
As quantum computing becomes more practical, it significantly threatens the conventional cryptographic systems, particularly RSA and ECC, that are critical to worldwide digital security. Post-quantum cryptography (PQC) has emerged as a strong alternative as a response. NIST recently standardized algorithms such as CRYSTALS-Kyber and Dilithium. This survey brings together findings from ten key papers that examine PQC across different fields, including telecommunications, finance, healthcare, IoT, smart cards, and blockchain voting systems. The chosen studies include direct comparisons of digital signature schemes, real-world protocol integration on smart cards, hybrid cryptographic models using AES and blockchain, and strategies for transition based on policy frameworks like NIST CSF 2.0. The survey examines cryptographic flexibility, hardware practicality, readiness for adoption, and the social and economic effects of quantum breaches. It compares algorithm performance, deployment challenges, and specific needs for various areas. This paper is an overview of the current state and future directions for PQC implementation in critical infrastructure. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. -
Post-road traffic injury experiences and challenges faced by college students: A qualitative study in Madurai district, Tamil Nadu, India
Road traffic injuries (RTIs) are a pressing public health concern in India, leading to a rise in injury-related deaths, hospitalizations, and disabilities. India accounts for a significant portion of the world's fatal traffic accidents, with two-wheelers being involved in the majority of these accidents. The impact of non-fatal injuries on individuals extends beyond the bodily consequences of the injury and includes both the physical and psychological dimensions of the injury. The literature indicates the need for policy cascades and implementation framework for the prevention of road traffic injury. This study aimed to investigate the post-RTI experiences and challenges faced by college students who experienced road traffic injury during their college life by using a qualitative research approach in Madurai district, Tamil Nadu, India. The study found that college students who experienced RTIs faced a wide range of physical, emotional, and social difficulties. The study highlights the need for a more comprehensive and holistic approach to RTI prevention that takes into account the complex interplay of individual, environmental, and societal factors that contribute to RTIs. The study also underscores the urgent need to improve the quality and availability of healthcare and rehabilitation services for RTI survivors. 2024 John Wiley & Sons Australia, Ltd. -
Posttraumatic relationship experiences in women in South India
Marriage is a socially binding intimate relationship between two individuals which is expected to be stable and enduring. In many cases, there can be severe difficulties questioning the quality of ones married life such as IPV or other kinds of abuse or exploitation which could lead to a divorce. Although divorce legally dissolves the relationship, studies suggest that the stress caused by a traumatic relationship may not end after terminating the relationship. The resemblance of these symptoms to PTSD led to the proposed diagnosis of PTRS. In this study, seven participants who have been divorced due to domestic violence for at least a year were identified and interviewed regarding their past and present life situations. The emergent themes in the data pointed to several factors that may influence ones married life, the decision of divorce and current life situations which can affect the amount of stress an individual might face concerning their past traumatic relationship. The factors influencing stress experienced during a traumatic marriage included involvement and support from ones family and in-laws, nature, and cause of abuse, stress-related to children, social support and the very decision to get a divorce. The process of overcoming fear, mistrust, and grief, social and family support, child custody, and related legal processes were factors that affected stress related to the process of divorce. The grief related to child custody, ability to rationalize the decision, career, remarriage and childrens future were some factors that influenced the stress these individuals experienced currently in their life. 2019, 2019 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Posture Classification Using a Hybrid Deep Learning Model
Automated posture detection is a critical task in ergonomics and healthcare, yet it presents significant challenges for standard computer vision models, particularly in handling class imbalance and understanding geometric constraints. This paper proposes an enhanced hybrid deep learning model that synergizes the feature extraction power of a pre-trained ResNet50 architecture with engineered geometric features derived from the Radon Transform and pre-calculated joint angles. Our approach utilizes a dual-balancing strategy, combining data upsampling with a custom weighted loss function, to effectively address the problem of underrepresented classes. By processing visual and geometric data streams in parallel and fusing them within a deep architecture, our model achieves a holistic understanding of the subject's posture. The fine-tuned model demonstrates strong performance on an unseen test set, achieving a final accuracy of 92% for wrist posture and 92% for neck posture. Crucially, it attains a robust F1-score of 0.74 for the challenging 'Bad Wrist Posture' minority class, a significant improvement compared to the ResNet50-only baseline (F1=0.24) and achieves excellent ROC-AUC scores of 0.9859 for wrist and 0.9838 for neck, proving the efficacy of our hybrid, dual-balancing methodology for realworld application. 2026 IEEE. -
Potassium tert-Butoxide-Mediated Synthesis of 2-Aminoquinolines from Alkylnitriles and 2-Aminobenzaldehyde Derivatives
KOtBu mediates the reaction between 2-amino arylcarbaldehydes and benzyl/alkyl cyanides toward the expeditious formation of 2-aminoquinolines under transition-metal-free conditions. The described transformation proceeds through in-situ generated enimine intermediate from benzyl/alkyl cyanides under KOtBu-mediated reaction conditions. The substituted 2-aminoquinolines were realized in excellent yields at room temperature and shorter reaction time. The designed process exhibits operational simplicity and broad functional group tolerance in delivering the products of high significance. 2022 Wiley-VCH GmbH. -
Potato Leaf Disease Identification using Hybrid Deep Learning Model
The potato is one of the most significant crops in the world. However, it is prone to several leaf diseases that can result in significant productivity losses, leading to economic challenges. Early and precise disease identification is essential for sensitive crops like potatoes. Deep learning approaches have demonstrated excellent potential in image-based disease classification tasks in recent years. This paper presents a hybrid strategy for classifying potato leaf image diseases by integrating Optimised Convolutional Neural Network (OCNN) and Long Short-Term Memory (LSTM) networks. The Adaptive Shark Smell Optimisation (ASSO) technique is used to optimize the weights of CNN models. The CNN component is initially used to extract pertinent characteristics from Potato leaves, capturing significant visual patterns related to various diseases. These extracted features are then fed into the LSTM model, which utilizes its sequential learning capability to model the temporal dependencies among the extracted features. The model performance is analyzed based on Accuracy, Precision, Recall, and F1-score criteria. Experimental results showed that the hybrid OCNN-LSTM model outperforms the individual CNN, LSTM, and MobileNet models. The proposed model results are compared with existing state-of-the-art work, and it was found that the OCNN-LSTM model performed better and received 99.02% accuracy. 2023 IEEE. -
Potent of sales-persons, impact on the channel of distribution in lighting industry in bangalore
Its found in array of literature on the roles, functioning of the sales persons and also illuminates how these are measured on effectiveness of channel of distribution. This study made with objective for better understanding of various variables, and out of which primary factors that could be focused for effectiveness of channel of distribution in lighting industry in Bangalore from the perceptive of intermediaries. This study draws the responses from intermediaries who are pivotal force (opinion leaders) in the market, which could prove more deep understanding for strategizing the channels in the said industry. From the review of literature we streamlined the functions performed for potent of sales persons. Further analysed with vivid using various statistical tools to understand loads (Eigen value), hence, prompting with Principal Component Analysis. This study is uses all normative way to analyse of the results reframed pivotal factors, in classifying, draining out insignificant factors. By regrouping based on the array of load, we come to understand 3 vital ingredients viz., 1) intermediaries appointment criteria 2) sales training& communication 3) concern for cost and needs of intermediaries, and urging to business institutions to opt for better channel strategy. Notwithstanding, the relationship with intermediaries are charismatic in nature, and dynamics of channel strategy would and will be determinant for success of any business organisation. 2019, Institute of Advanced Scientific Research, Inc.. All rights reserved. -
Potential applications of AI and IoT collaborative framework for health care
Digital technology has infiltrated the entire planet. Artificial Intelligence (AI) and the Internet of Things (IoT) are the two buzzwords that became popular in the current digital world, especially in recent decades. Both these technologies have their contribution in various domains. The existing frameworks will benefit from the AI-IoT collaborative system, which will assist them in having more intelligent or smart responses. Furthermore, these collaborative systems can provide improved devices with better decision-making capacity to facilitate the users. AI can work with IoT to increase functional precision in the healthcare domain by automating and tracking, monitoring, managing, optimizing, and predicting processes in 24x7 mode. Health professionals are the people involved in activities whose primary commitment is to improve the wellbeing of the community. They are a group of people who face various obstacles, including their health and safety concerns, especially during pandemic outbreaks. This book chapter aims to illustrate the impact of AI and IoT on the health care domain and the challenges that healthcare professionals face, especially when dealing with such an pandemic and suggests some potential health care advancements through AI and IoT. 2023 Bentham Science Publishers. All rights reserved. -
Potential flow simulation through Lagrangian interpolation meshless method coding
From the past many decades, mesh generation posed many challenges in the field of computational sciences for many researches. High rise in computational power has enabled many researches to tackle the problems of complex geometries. Due to the high need of computational power, computational cost also increased abruptly. In today's world, many academic and industry researches are willing to increase the use of present simulation technology; mesh generation plays a vital role in this aspect. we can say that many real-world simulation problems are dependent on mesh generation which has more chances in giving an inaccurate simulation results. In order to make the simulation process simpler, Meshless methods are introduced to the field of Computational Fluid Dynamics. This technique requires a less computational power compared to the computational power needed for generating the mesh. In the present dissertation, our main objective is to develop a scheme for Meshless method for the field of Computational Fluid Dynamics for flow over a blunt body. The performance of the present scheme is evaluated by comparing the simulation results with existing experimental data and also compared with the results obtained by generation of mesh using commercial CFD software. 2018 Isfahan University of Technology.