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Persistent Luminescence and in Vivo Bioimaging
In vivo bioimaging encompasses the non-invasive visualization of internal cells or organs within the human body, facilitating the real-time monitoring of dynamic biological processes. This form of bioimaging holds paramount significance within clinical domains due to its capacity to facilitate early disease detection, notably in cases of life-threatening conditions such as cancer. Although established imaging modalities like ultrasound, magnetic resonance imaging, and fluorescence imaging exist, the quest for innovative imaging probes with enhanced visibility to provide high-resolution images remains an active area of research. The introduction of persistent luminescent nanoprobes, characterized by their unique afterglow luminescence property, presents an exciting avenue in the realm of bioimaging. These nanoprobes offer several advantages over traditional fluorescent probes, notably in their ability to surmount light attenuation challenges within biological tissues including issues such as autofluorescence and light scattering. The chapter offers a succinct introduction to two pivotal facets of fluorescence imaging, namely persistent luminescence and upconversion luminescence while elucidating the underlying mechanisms governing their luminescence behavior. Moreover, this chapter provides comprehensive insights into various fluorescence imaging techniques, encompassing near-infrared imaging, upconversion imaging, X-ray-activated luminescence imaging, persistent luminescence imaging, and various multimodal imaging techniques. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Person re-identification using part based hybrid descriptor
Real time person re-identification systems require robust descriptors for useful feature extraction. This paper focuses on a novel descriptor which can efficiently re-identify persons in varied views and change in illumination. The descriptors detect the features by dividing the person image into multiple parts. We use a combination of local and global feature descriptors to form a reliable descriptor. Performance evaluation is done on a benchmarking dataset. 2016 IEEE. -
Personal automatic panic alert-papa /
Patent Number: 202241049073, Applicant: Meenakshi Malaviya.
A panic attack is a mental impairment condition that causes the loss of many lives. The level of attack can be mild to extreme and can be scaled using biomarkers produced automatically by the body. Some of the biomarkers are heart rate variability, fluid changes like cortisol and adrenaline, breathing rate, air quality index, and core temperature. The data sources for the biomarkers can be clinical scales, environmental factors, sensors, wearable devices, and diagnostic surveys. -
Personal Cognitive Predictors Influencing Career Resilience Among Indian Women Information Technology Professionals
Career resilience, which is culturally and contextually determined, has been insufficiently explored in the literature regarding women, with an inadequate investigation into the factors predicting their resilience. This investigation offers fresh insights into the determinants of career resilience among women professionals in the Indian information technology sector by examining career-related personal cognitive factors. The study specifically explored the effects of career self-management skills, work volition, career salience, and occupational self-efficacy on career resilience (N = 306). Hierarchical multiple regression analysis revealed that career self-management skills, work volition, and occupational self-efficacy significantly predicted career resilience in women professionals. Additional analyses revealed occupational self-efficacy as a mediating factor. These findings contribute to formulating strategies to enhance career resilience through organizational support and targeted interventions. 2025 by the American Counseling Association. -
PERSONAL DEVELOPMENT COMPONENTS IN POST-GRADUATE COUNSELING PROGRAMS IN BANGALORE: AN EVALUATION
The counseling profession is gaining ground in India and every year a large number of trainee counselors graduate with a masters degree that deems them fit to practice. Professional and Personal development of counselors is of paramount importance to ensure a competent and ethical service to clients. However, there is little research being done in the field of training and development of counselors. Therefore, the aim of the present study was to identify the personal development components in post graduate counseling courses in Bangalore. The researcher chose a program evaluation design. The curricula of three masters level counseling courses in Bangalore were evaluated for its personal development components. Three faculty members and twenty six trainee counselors participated in the study. Focus group and interviews were used to collect the data. The transcripts were analyzed using directed content analysis. The results showed that various aspects of the course had contributed to personal development of the trainees. They included personal and group therapy, Small group processes, micro-skills training, supervised practicum, journal writing, taught courses like family therapy, theories of counseling, life span development, transpersonal psychology and emotional development, specific workshops and the academic environment of the trainee which included their faculty and peers. Barriers to personal development were also identified and recommendations were made for the future. -
Personal fableness and perception of risk behaviors among adolescents
Adolescence is a crucial period where one tends to identify who they are as an individual. However, as a teenager is struggling to find his/her place in this world, it is also a time where they are prone to engaging in risk behaviors, which tend to have an extreme psychological impact. The objective was to explore the experiences of an adolescent who engages in risk behaviors and to understand their level of personal fables. The study was a qualitative design with content analysis with semi-structured interviews of ten male adolescents aged 16-18 years. The major findings of the study indicated that adolescents pattern of thinking revolves around the fact that they are invincible and invulnerable. Furthermore, adolescents are aware of the risks they are putting themselves through and how in the process they are hurting others. The implications of the study are to conduct more life skill programs in schools; greater awareness has to be created on the impact and harmful effects of such behaviors. 2018, Indian Journal of Public Health Research and Development. All rights reserved. -
Personality and Psychological Predictors of Instagram Personalized Ad Avoidance
The purpose of this paper is to apply the meta-theoretical model of motivation and personality (3M) of Mowen to study consumers ad avoidance in the context of online personalized advertisements on Instagram. The current study developed a theoretical framework that links personality traits with reactance arousal and ad avoidance behaviours. Based on the data analysis, it was found that consumers with higher general self-efficacy tend to have more reactance arousal (situational level trait) compared to ad irritation, ad skepticism (surface traits), and ad avoidance behaviours towards personalized advertising on Instagram. The findings will help advertisers and marketers in segmenting the market better based on young users efficacy levels, navigational habits, personality traits, functional motives, and demographic variables to effectively reach the targeted consumers. 2023 IGI Global. All rights reserved. -
Personality Traits and Financial Literacy: Impact on Equity Investment Intention among Planters in India
This paper examines the relationship of personality and financial aspects toward investment intentions among Indian planters, including long-term and short-term investment decisions. This quantitative study is based on a random survey of 568 planters for the role of Openness, Agreeableness, Extraversion, Neuroticism, financial knowledge, financial skills, and financial attitudes. The findings indicate that Extraversion and financial knowledge are significant predictors of risk perception, mediating their influence on investment intentions. Planters with a higher level of financial literacy and an extroverted personality are more likely to perceive risk appropriately, making better investment decisions. Agreeableness was insignificant concerning risk perception, while Openness positively correlated with short-term investment decisions. The findings demonstrate that risk perception acts as a meaningful force towards LTI and STII since planters with the capability to perceive risk appropriately tend to make better decisions in investment. In addition, these results support the idea of financial education's importance in influencing investment behaviour. Such financial literacy programs, targeted towards improving the ability of farmers to assess risk and investment strategies, will be the initiative of the highest priority to bring about better financial outcomes in the Indian agricultural context. In this regard, this research will add knowledge of psychological and financial factors that impact investment decisions in India, and it will provide valuable insights into building an effective financial literacy program to target the enhancement of the investment strategies of planters in the Indian market. 2025, Iquz Galaxy Publisher. All rights reserved. -
Personalized Explainable Transformer Models for Student Performance Prediction
The research presents a unified framework for forecasting student academic achievement using a transformer-based architecture supported by Explainable Artificial Intelligence techniques. The research is motivated by the need to combine predictive accuracy of transformer models with interpretability in student performance prediction. The framework applies an adapted Feature Tokenizer Transformer to the UCI Student Performance dataset and integrates SHAP and LIME methods to generate instance level, human readable explanations for each prediction. These explanations can help educators design targeted interventions. A Random Forest regressor is included as a baseline for comparison. The experiment results showed that the Random Forest performed slightly better than the Feature Tokenizer Transformer, which could be due to the small size of the dataset and certain features having a strong impact on the results. Nevertheless, the results show that modern deep learning models combined with personalized explainability offer a practical foundation for scalable solutions in more complex educational datasets, which helps connect high performing prediction models with actionable insights, contributing to the development of interpretable, data driven student support systems. 2025 IEEE. -
Personalized guest laundry system: The grand prix L-chute /
Patent Number: 202241037278, Applicant: Leena N Fukey.
A conveyor system designed to collect and deliver guest laundry is proposed with this innovation. The system comprises of two parts, an inbuilt chute inside the bathroom for the guest to drop their soiled clothing which is received at the laundry' room; and a chute from the laundry room to the guestroom’s closet for returning the laundered guest clothing. Thus, the human intervention involved in the process of guest laundry is greatly reduced. -
Personalized guest laundry system: The grand prix L-chute /
Patent Number: 202241037278, Applicant: Leena N Fukey.
A conveyor system designed to collect and deliver guest laundry is proposed with this innovation. The system comprises of two parts, an inbuilt chute inside the bathroom for the guest to drop their soiled clothing which is received at the laundry' room; and a chute from the laundry room to the guestroom’s closet for returning the laundered guest clothing. Thus, the human intervention involved in the process of guest laundry is greatly reduced. -
Personalized Medicine Recommendation Through Genomics AI
Every individual is genetically different. This highlights the importance of exploring the possibility of personalized medicine tailored for each persons unique genetic profile. Due to this genetic variability, people have varied responses to the same medication. Thus, it is all the more necessary to withdraw from traditional medication and adopt personalized medicine. Using genomic data analysis techniques, healthcare specialists will be able to distinguish the minute genetic differences to produce unique therapies for each patient. This paper traverses the development of an algorithm to integrate the patients genomic data with his medical history. Personalized treatment can be recommended based on the inferences using genomic AI. These insights derived from the algorithm can be scrutinized by decision support systems. This step ensures the reliability of the prescribed personalized treatment and confidence of patients on the medication. Each time the model predicts medication compositions and dosages using genomic data, it becomes more accurate improving therapeutic results. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026. -
PERSONALIZED SLEEP SIGNATURE: A NOVEL APPROACH TO UNVEIL PAEDIATRIC SLEEP BEHAVIOUR WITH TRANSFORMER ATTENTION MECHANISM AND GRAPH ATTENTION NETWORKS
Sleep disorders manifest differently across individuals, making accurate diagnosis and treatment highly complex. Even within the same diagnosis, there can be variation in sleep architecture among patients, which makes generalization across people difficult. Traditional sleep analysis methods rely on manual scoring and fixed diagnostic criteria, which fail to capture subject-specific variability in sleep patterns. To address this, we propose a data-driven Personalized Sleep Signature (PSS) approach that learns individualized sleep behaviour using AI models. This study introduces the PSS framework, combining Transformer-based Attention and Graph Attention Networks (GATs) to model nuanced sleep characteristics. We utilize the Nationwide Childrens Hospital Sleep Data, a paediatric Polysomnography (PSG) dataset containing EEG and physiological parameters such as ocular movements, EMG activity, blood pressure, and respiratory rate. From this, we extract sleep epoch features and demographics to form Sleep Signature Groups that reflect common behavioural patterns. Unlike conventional classification, our method captures personal variability and delivers individualized sleep hygiene guidance. The model achieved 94% accuracy in detecting sleep patterns, outperforming traditional methods. Beyond clinical applications, it can be integrated with wearable sensors (e.g., Fitbit, Oura, Apple Watch) to personalize wake/sleep routines and environments. It also enables early detection of sleep disorders and aligns daily schedules with individual chronotypes to enhance well-being. By focusing on sleep behaviour rather than rigid diagnostic categories, this approach supports non-pharmacological, personalized interventions backed by scientific evidence. Our work opens the door to precision sleep medicine, offering actionable insights for clinicians, researchers, and technology innovators. Little Lion Scientific. -
Persons With Disabilities: A Critical Analysis of India's Right-Based Approach
Disability is a challenging issue across the globe, as almost 16% of the global population has some kind of disability. India, the most populous country in the world, also faces the severity of disability issues as 2.2% of its population belongs to that group. For a good period, Indian society considered disability as a curse in the context of karma theory. Accordingly, the disabled faced discrimination, marginalization, and social exclusion. Though the Constitution guaranteed equal rights, India's approach towards disabled was mostly based on charitable contributions for their rehabilitation rather than a rights-based approach. But in line with the paradigm shift in the global approach, the Indian perspective also changed, underlining the rights of the disabled. Many policies were designed to give them access to the mainstream of the society, but India lacks adequate strategies for implementing these policies. 2026 by IGI Global Scientific Publishing. All rights reserved. -
Perspective of multiple slips on 3D flow of Al2O3TiO2CuO/H2O ternary nanofluid past an extending surface due to non-linear thermal radiation
A mathematical model is constructed under the slip flow of a Newtonian fluid based on certain assumptions. Such a mathematical model of ternary nanofluid flow is handled by invoking similarity solutions for governing equations. The obtained system of nonlinear equations is solved numerically by utilizing the fourth-fifth order RungeKutta-Fehlberg method. The consequences of distinguished parameters on fluid flow are analyzed in detail through the plotted graphic visuals. Physical quantities such as Nusselt number and skin-fraction coefficient are considered numerically by tables. The results indicated that the mixed convection parameter favors the flow whereas the x-direction velocity slip reduces the velocity. Furthermore, it is observed that the temperature of the nanofluid is increased for the higher values of radiation. The presence of a heat source enhances the temperature and that of a heat sink diminishes the temperature. It is found that the heat conduction capability is more in ternary nanofluid than the hybrid and monophase nanofluids. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Perspectives about Illness, Attitudes, and Caregiving Experiences among Siblings of Persons with Schizophrenia: A Qualitative Analysis
Background: Siblings of persons diagnosed with schizophrenia (SPS) are one among the major sources of support for persons with schizophrenia. There is a dearth of psychosocial literature on SPS in India. This qualitative study explored the perspectives about the illness, attitudes, and caregiving experiences of SPS. Materials and Methods: Qualitative audio-recorded interviews were conducted with 15 SPS, purposively selected from a tertiary mental health hospital of Southern India. A general inductive approach was adopted to analyze the qualitative data. Results: Four broad themes were identified from qualitative data analysis. (1) SPS described several explanatory models of mental illness in terms of causal attributions and treatment care. (2) They had expressed emotion toward their ill siblings, such as criticality, hostility, and emotional over-involvement. (3) They experienced objective and subjective burden while caring for their ill sibling. In spite of all these, (4) they were part of their ill siblings' care in terms of ensuring regular follow-ups and drug adherence and supported their livelihood. They coped up with adaptive as well as maladaptive strategies. Conclusion: SPS provide significant support to their affected siblings. However, they do have non-biomedical models of mental illness and negative attitudes toward patients and experience burden. Hence, psychosocial interventions may help SPS while caregiving for their affected siblings. 2019 Indian Psychiatric Society - South Zonal Branch. -
Perspectives and Implications of Probiotics as Beneficial Mediators in Aquaculture Industry
The diseases and nutrient deficiency in fish and other cultured aquatic species are of crucial concern as they cause severe economic loss in aquaculture sectors. The use of probiotics has proven to be an effective option to reduce the infections improve the overall health and enhance the productivity. This review comprehensively brought out significance of probiotics, their mode of administration via encapsulation methods and their mechanism of action reported by several research works. We have also highlighted the other beneficial aspects of probiotics as potent functional agents influencing gut microbiota, competence with pathogenic bacteria, release of antimicrobial secretions and maintain the water quality in environmental friendly manner which ensures sustainable aquaculture and fish farming. This review has also covered up the role of probiotics in wide spectrum of functions such as antiviral and antifungal properties, reducing stress and diseases, modifying the gut microbiota, improving the fecundity, survival and modulating the immune system of the host. We have discussed every aspect of probiotics and correlated with the existing research and review articles till date. However, most of the studies are reported based on the laboratory trials and experiments; commercial and large-scale demonstration has to be scaled up and utilization of them in natural environments like ponds and lakes will be effective way to broaden aquaculture industry. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
Perspectives Envisaging Employee Loyalty : A Case Analysis
Journal of Management Research Vol. 12, No. 2, pp 100-112, ISSN No. 0974-455X -
PERSPECTIVES OF SECONDARY SCHOOL TEACHERS ON THE RELEVANCE OF CRITICAL DIGITAL CITIZENSHIP IN FOSTERING ONLINE RESPONSIBILITY AND CRITICAL THINKING
The responsible use of technology and cyber ethics requires promoting digital citizenship education. However, digital citizenship does not include issues related to equality, justice, or accessibility in digital and internet-based education. Critical digital citizenship practices address some of these issues. The aim of this research study is to explore secondary school teachers perspectives on the relevance of critical digital citizenship in promoting online responsibility and critical perspectives. Semistructured interviews were conducted with 12 secondary school teachers from two different schools. Thematic analysis was used to interpret their views and opinions, and four main themes were identified. All participants agreed that critical digital citizenship is important for teaching and learning in promoting critical online per-spectives. Many teachers felt that there are knowledge gaps in this area, so intervention programs are needed for teachers and learners. 2026, Grand Canyon University. All rights reserved.