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Effect of menstrual distress on interpersonal relationships, school absenteeism, work productivity, and academic performance
Women's health has always been one of the major research areas to identify health patterns to understand the challenges women face and to provide essential support. As time changes, various new challenges and issues emerge around menstrual distress. More research is still needed to identify efficient physiological and psychological support strategies. The current chapter provides a detailed insight into how menstrual pain affects a woman and girl's interpersonal relationships, school presence, peer relations, productivity at the workplace, and academic performance. Further, the chapter captures various literature evidence on the effect of cultural and religious factors affecting menstruation. The chapter also emphasizes providing strategies and mapping down existing policies that are in action to address the challenges women face due to menstrual distress. 2023, IGI Global. -
Challenges of Indian girls with maternal schizophrenia
Schizophrenia, earlier known as dementia praecox, is considered to be one of the most devastating mental illnesses due to its impact on the individual as well as family members. The Indian context characterized by ones rootedness to family, warrant enquiry about difficulties and burnouts faced by girl children.When it is the mother who is suffering from the illness, there tends to be a huge lag in terms of primary care giving. A disturbed home environment along with inadequate parenting have shown to adversely affect the girl children. The present qualitative research study aimed to explore challenges faced by the girl children with maternal schizophrenia with the help of 43 Mental Health Professionals (MHPs) across India. Interpretative Phenomenological Approach (IPA)was adopted and interviews were conducted using a validated interview guide. Thematic analysis revealed that girl children whose mothers are diagnosed with schizophrenia faced challenges in self, family and social sphere of life. Neglect, self blame and the question why me were recurrent themes.They experienced difficulties in cognitive, behavioral and social domains. The added burden of family responsibilities and social stigma made the surroundings challenging.Exploring the world of girls with maternal schizophrenia would deepen our understanding about impact of schizophrenia on family members and aid us develop interventions to support the care givers. 2019 Oriental Scientific Publishing Company. All rights reserved. -
Loneliness and Psychological Distress among Female School and University Students in India: Mediating Role of Coping Style, Social Support and Resilience
Loneliness and psychological distress are major psychological health issues among the student community because of social and continuously increasing academic pressure. Female students are vulnerable to these challenges, with a risk of severe mental health issues. In the present study, we aimed to examine loneliness and psychological distress among female students in India, assessing how social support, coping style, and resilience mediate these effects. Through a web-based survey, 687 responses were collected from female students across various educational institutions, including high school (n=292) and college/university (n=395) students in India. Standardized tools were used to gather data on resilience, psychological distress, coping styles, social support, and loneliness. The findings revealed moderate levels of resilience and psychological distress among the participants. The coping style scores indicated a general trend toward effective coping mechanisms. A higher level of social support was observed than a moderate level of loneliness. While coping style had a minimal mediating influence, resilience and social support were significant mediators of the association between loneliness and psychological distress. This study highlights the psychological experiences of female students in India and makes a significant contribution by providing empirical evidence on the unique roles of protective factors such as resilience and social support against psychological distress and loneliness. These findings are crucial in promoting a targeted mental health framework and support systems for students in similar contexts, reinforcing the need for a holistic approach to student mental health. 2025 The Authors. Turkish Journal of Counseling Psychology and Guidance is published by Turkish Psychological Counselling and Guidance Association -
I am lost in that reality, and I'm just playing the game: a qualitative study exploring gaming behaviour and its effect on young adults in India
The current study aims to explore gaming behaviour among young adults in India and its effects on their physical and emotional health, productivity, interactions, and social life. Data were collected from 12 avid gamers through in-depth semi-structured interviews. A thematic analysis was conducted to identify the global theme and organise themes from the data. The global theme was the exploration of contemporary gaming behaviour. The habit theme included the origin of the game, practice, and change over time, while the effects theme focused on the physical and emotional health, productivity, interactions, and social life of young adults who engaged in gaming. The findings suggest that gaming behaviour has become an established habit among young adults in India, significantly affecting various aspects of their lives. The study highlights the need for increased awareness of the potential negative consequences of excessive gaming and emphasises the importance of moderation in gaming. 2024 Informa UK Limited, trading as Taylor & Francis Group. -
Smart Satellites: Unveiling the Power of Artificial Intelligence in Space Communication-A Study
The incorporation of Artificial Intelligence (AI) into space and satellite communication represents a paradigm shift in the way we explore, navigate, and communicate beyond our planet. This article is about the impact of AI on satellite operations, and the broader field of its communication to the earth. The article explores how AI enhances spacecraft autonomy, mitigates signal degradation, and improves the overall reliability of communication performance Satellite communication benefits from AI-driven advancements, in the areas of signal processing and optimization. Furthermore, examines the integration of AI in space-based challenges and opportunities associated with large-scale satellite networks. AI playing a crucial role in detecting and mitigating cyber security threats in space communication systems. This paper comes up with the perception into the future trends and potential advancements in AI applications for space and satellite communication. 2024 IEEE. -
The influence of social media on investment decision-making: examining behavioral biases, risk perception, and mediation effects
The increasing use of social media platforms for investment-related information and advice has raised concerns about the impact of social media on investment choices. In this paper, we investigated the role of behavioral biases and risk perception in investment decisions. Specifically, this paper aims to explore the impact of social media on these factors and their influence on investment decisions. To achieve this aim, we investigated the existing works on the impact of social media on investment decisions, including its influence on behavioral biases and risk perception. We also collected data through an online survey from individual investors who use social media for investment-related information and advice. The survey measured their investment decisions, behavioral biases, risk perception, and the impact of social media on these factors. The valuable insights offered by this paper shed light on how social media affects the decisions made regarding investments and extend our understanding of the role of behavioral biases and risk perception in this context. Our results indicate that social media has a significant impact on the investment-related behaviors and perceptions of individual investors. Specifically, social media can exacerbate the effects of behavioral biases, such as herding and overconfidence bias, and influence risk perception. Moreover, the paper highlights the significance of managing social media use to make rational investment decisions. The paper's results can help individual investors make more informed investment decisions by understanding the impact of social media on their investment-related behaviors and perceptions. Moreover, the paper provides useful information to policymakers and financial regulators to develop guidelines for the responsible use of social media in the investment industry. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2023. -
Augmented Reality Based Medical Education
The education in medical field requires both theoretical knowledge and practical knowledge. It is important for medical student to acquire effective practical skills. Since the students apply the theoretical knowledge in practical manner in human body. Human body is very volatile, gentle, and difficult system. If a student apply trial in the humans for practical knowledge, there may cause the human error which leads to death of the person. To avoid this, the proposed system 'Augmented Reality Based Medical Education' is useful. Augmented reality makes the learning process more interactive and interesting. It can reproduce specific circumstances that assist students to rehearse with virtual objects that look like the human body and organ. Like traditional learning, it does not require real patients. By this way, augmented reality prevents risk of human life. Medical education with augmented reality extensively provides real time experiences. It has low risks and also affordable. When any human error occurs, there is no human loss. So the human life can be prevented by the system. The proposed system is developed using tools like Unity which is the complete platform for the developing our application, Vuforia-developer portal, a tool to create image target and Blender which is used to create 3D objects. 2023 IEEE. -
Future research and emerging trends in mindfulness and immunology
The chapter examines mindfulness and immunology to understand how our immune system works with mindfulness practice. Research in this area calculates that mindfulness affects immune markers, including cytokines and natural killer (NK) cell activity, apart from effects shown with inflammation or immunityrelated diseases. The discussion also includes a look at newer trends, including brain imaging and more specific treatments and options provided by digitizing public health. However, the promising research limited by small sample sizes and intervention times persists. This part also advocates for increased rigorous, longer-term, cross-disciplinary work to clarify how mindfulness might influence immune health. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Neuroinflammation and cognitive function in infectious diseases
Inflammation of the central nervous system (CNS), which various infectious diseases can induce and significantly affect cognitive functions. The review enriches the current understanding of neuroinflammation pathology and suggests novel diagnostic/therapeutic strategies for cognitive impairments. Pathogens cause disruption of the blood-brain barrier (BBB), which could be due to a repertoire of mechanism viz. the interplay of inflammatory cytokines and reactive oxygen species. The influence of neuroinflammation on cognitive function is immense and multifactorial. Neuroinflammatory responses in the acute phase can result in cognitive impairments, like memory deficits, attention span being reduced, and executive dysfunction. However, in cases of persistent neuroinflammation lead to long-term cognitive decline and neurodegenerative processes. The mechanisms underlying these cognitive changes are diverse, including disruptions in synaptic plasticity, alterations in neurotransmitter systems, and neuronal cell death. 2025 by IGI Global Scientific Publishing. All rights reserved. -
Exploring Emerging AI and IoT Technologies to Enhance Customer Relationship Management in 5G Networks
The convergence of artificial intelligence, Internet of Things for management of 5G networks to revolutionize customer relationship management. It enables customer engagement, efficiency and levels of personalization. The study explores the emergence of IoT and AI to enhance CRM framework within low-latency and high-speed infrastructure provided using 5G technology. Real time data collection with IoT and AI driven data analytics that offer actionable insights to enable customer behaviour, enabling adaptive and predictive CRM strategies. Additionally, enhanced connectivity with 5G technology to facilitate integration of smart devices to ensure interactive and consistent experience for the customers. The present study examined the operational and technical synergy between the technologies and has high impact on the efficiency of CRM, implementation challenges that include data security and privacy concerns. 2025 IEEE. -
Deep Reinforcement Learning for Dynamic Resource Allocation in Intelligent Communication Networks
As intelligent communication implementations like 5G and IoT-enabled infrastructure meet technological advancement, provisioned network resource allocation dynamically and efficiently will be deemed crucial to accommodate diverse service demands and guarantee an optimized part of the network on demand. Resource management strategies based on traditional approaches often lack a sufficient response to the dynamic posture of network states and complex, heterogeneous environments. To address these challenges, deep reinforcement learning (DRL) has emerged as a powerful methodology wherein deep neural networks are employed to enable intelligent and adaptive decision-making based on dynamic network conditions. In this paper, we study the potential of DRL for dynamic resource management in intelligent communication networks. We build a DRL-driven agent that enables optimal allocation policy learning by interacting with high-dimensional, stochastic network environments with variable traffic loads, user mobility, and heterogeneous quality-of-service (QoS) requirements. Realistic simulation scenarios show that the proposed DRL framework outperforms conventional allocation heuristics in terms of throughput, latency, and fairness among users. We elaborate on the ramifications of explorationexploitation tradeoffs, convergence stability, and compute efficiency in the context of scale deployments. This way, our results prove that DRL is a potential candidate for dynamic resource allocation in future intelligent communication networks due to its better adaptability and performance. 2025 IEEE. -
ENHANCING FOREST ECOSYSTEM RESILIENCE TO CLIMATE CHANGE WITH VANET AND INTEGRATED NATURAL RESOURCES MODELLING
Forest ecosystems are immediately threatened by rising global temperatures and changing climatic patterns. Periodic assessments also contribute to a reduction in the frequency of monitor-ing, which could cause environmental changes to go unnoticed. This work develops a novel real-time monitoring and early warning system to meet this difficulty. By integrating Vehicular Ad Hoc Networks (VANET) with sophisticated natural resources modelling, the proposed method aims to revolutionise the way forest ecosystems are managed. This study strives to design and implement a comprehensive system that harnesses the power of VANET to collect real-time data from sensors deployed on vehicles, and integrates advanced modelling to predict, assess, and mitigate risks to forest ecosystems. The proposed method involves deploying a network of vehicles equipped with environmental sensors within VANET. These sensors continuously collect data on crucial environmental parameters, such as temperature, humidity, air quality, and spatial information. The data are transmitted through a secure VANET communication protocol to a centralised processing unit, where it is integrated with climate models and ecosystem dynamics models. Resilience metrics and thresholds are defined to trigger a tiered early warning system. Preliminary testing of the system demonstrates promising accuracy and responsiveness. The integrated approach allows for dynamic risk assessment, enabling the identification of potential threats such as extreme weather events, invasive species, or disease outbreaks. Early warnings prompt adaptive management strategies, showcasing the systems potential to significantly enhance forest ecosystem resilience. This research presents a pioneering solution to the escalating challenges faced by forest ecosystems in the time of climate change. The real-time monitoring, early warning system, amalgamating VANET and integrated modelling, stand as a robust tool for forest managers, policymakers, and communities to proactively address environmental changes. The findings underscore the systems potential to transform forest management practices, marking a critical step toward sustainable and resilient ecosystems. 2024, Scibulcom Ltd. All rights reserved. -
Applications of neuroscience in education practices: A research review in cognitive neuroscience
The human brain is the most complex and mysterious organ in the body responsible for learning. Applications of neuroscience and genetics need to be comprehended to modulate teaching and learning practices in education. Considering the scope for application of advanced sciences in education practices, this book chapter simplifies and reviews ten critical research findings relevant for students and teachers for classroom applications and for modulating learning patterns for different age groups. The concept is also relevant for parents and the academic fraternity at large. The Author(s), under exclusive license to Springer Nature Switzerland AG 2021. All rights reserved. -
Effect of Chelating Agent Concentration on the Pseudocapacitive Performance of V2O5 Flakes Prepared by the Hydrothermal Process for Supercapacitor Applications
Vanadium pentoxide (V?O?) flakes were synthesized via a hydrothermal method by varying the amount of lemon juice (5mL for sample-1 and 10mL for sample-2) as a natural chelating agent. Structural and morphological analyses were performed using X-ray diffraction (XRD) and scanning electron microscopy (SEM), confirming crystalline V?O? with flake-like morphologies influenced by chelating agent concentration. Electrochemical performance was evaluated using cyclic voltammetry (CV), galvanostatic chargedischarge (GCD), and electrochemical impedance spectroscopy (EIS) in a 3M KOH electrolyte. Sample-2 exhibited a Significantly higher Specific capacitance of 1536 F?g?1 (CV at 1mVs?1) and 212.37 F?g?1 (GCD at 1 A?g?1) compared to sample-1, demonstrating that increasing lemon juice concentration enhances the capacitive behavior of V?O? flakes by improving ion diffusion and electroactive surface area. The Author(s) under exclusive licence to Sociedade Brasileira de Fica 2025. -
A Metal-Free KOtBu-Mediated Protocol towards the Synthesis of Quinolines, Indenoquinolines and Acridines
An expeditious strategy has been developed for the synthesis of diverse quinolines, indenoquinolines and acridines using KOtBu-mediated reaction conditions. The designed process utilizes 2-aminoaryl carbaldehydes/2-aminoaryl ketones and methyl/methylene group containing ketones as readily available feedstock. The chemical transformation was affected at room temperature within a short duration of time to obtain diverse N-heterocycles yields up to 92 %. The established process also exhibits considerable functional group tolerance with an operational simplicity. 2024 Wiley-VCH GmbH. -
Liquid Crystal as a Potential Biosensing Material
Liquid crystal (LC) biosensors are based on the mechanism of ordering transformations of LC molecules. Because of the anisotropic nature of LC molecules, LC has an extraordinary response to external stimuli and has highly responsive optical properties. The elastic force between LC molecules helps them for their orderly arrangement, which changes in response to a multitude of external stimuli such as temperature, adding biomolecules, and applying electric and magnetic fields. LC biosensors can be classified into LC-solid, LC-aqueous, and LC-droplet interface biosensors based on the LC-interaction surfaces. LC biosensors can detect target molecules such as nucleic acid, proteins, amino acids, and glucose. Aptamer-based LC biosensors have also been developed because of their high sensitivity. The advantage of LC in making a label-free biosensor lies in the fact that it requires minimal instrumentation, which heavily reduces the expense. There, it is one of the most promising types of biosensing techniques that are being developed. 2025 Scrivener Publishing LLC. -
Adverse Childhood Experiences, Psychological Well-wBeing, and Grit: A Comparative Study between LGBTQIA+ and Cis-Heterogeneous Sample of India
Adverse childhood experiences (ACEs) is a major concern that has been related to serious health consequences. Moreover, lesbian, gay, bisexual, transgender, intersex, asexual, and queer (LGBTQIA+) individuals are more likely to experience ACEs than cis-heterosexual individuals, especially in India. However, research in India has been scarce. This study compared these variables between Indian LGBTQIA+ individuals (n = 102) and cis-heterosexual individuals (n = 118) aged between 18 and 25. The findings of this comparative study reveal significant differences between LGBTQIA+ and cis-heterogeneous groups in terms of ACEs and grit levels. Notable differences were also discovered in three domains of psychological well-being: environmental mastery, positive interpersonal relationships, and self-acceptance. However, the vulnerability of LGBTQIA+ individuals in India reveals itself in descriptive statistics that report they are susceptible to negative outcomes in mental health. This study further emphasizes the importance of implementing focused interventions and support to increase psychological well-being and grit in the LGBTQIA+ community. 2026 selection and editorial matter, Balakrishnan C, Jayapriya J, Vinay M, Sanjeev Kumar Singh, Nadarajah Manivannan individual chapters, the contributors. -
Sentimental analysis on voice using AWS comprehend
Sentimental analysis plays an important role in these days because many start-ups have started with user-driven content [1]. Sentiment analysis is an important research area in natural language processing. Natural language processing has a wide range of applications like voice recognition, machine translation, product review, aspect-oriented product analysis, sentiment analysis and text classification etc [2]. This process will improve the business by analyse the emotions of the conversation. In this project author going to perform sentimental analysis using Amazon Comprehend. Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to extract the content of the document. By using this service can extract the unstructured data like images, voice etc. Thus, will identify the emotions of the conversation and give the output whether the conversation is Positive, Negative, Neutral, or Mixed. To perform this author going to use some services from Aws like s3 which is used for the data store, Transcribe which is used for converting the audio to text, Aws Glue is used to generate the metadata from the comprehend file, Aws Comprehend is used to generate the sentiment file from the audio, Lambda is used to trigger from the data store s3, Aws Athena is used to convert text into structured data and finally there is quick sight where he can visualize the data from the given file. 2020 IEEE. -
High-Gain Sequentially Rotated LHCP Metasurface Antenna Array for Uplink Ka-Band CubeSat Applications
This paper presents a compact circularly polarized 2 2 microstrip antenna array with a metasurface superstrate designed for Ka-band uplink CubeSat communication applications. The proposed antenna array operates at 28 GHz and consists of four-square patch elements arranged in a sequential rotation, connected through a sequential-phase feed network to achieve stable circular polarization. To enhance gain and axial ratio performance, a 6 6 rotated plus-shaped metasurface layer composed of periodic unit cells is placed above the antenna array.The antenna structure, with overall dimensions of 22 20 6.04 mm3, is designed and simulated using ANSYS HFSS. Simulation results demonstrate an impedance bandwidth of 8.12% (26.74-29.00 GHz) for |S11| < -10 dB and a 3-dB axial ratio bandwidth of 1.52% (27.42-27.84 GHz). The antenna array achieves broadside LHCP achieves a maximum gain of 14.8 dBi at 27.5 GHz with a half-power beamwidth of 9 along the Phi = 90 plane. The inclusion of the metasurface layer results in a gain improvement of approximately 5.2 dBi and with a peak gain of 15.5 dBi and a total efficiency greater than 95%. 2025 IEEE. -
Cloud based ERP Model using Optimized Load Balancer
Enterprise Resource Planning (ERP) and Cloud computing are turning out to be increasingly more significant in the field of Information Technology (IT) furthermore, Communication. These are two distinct segments of current data frameworks, and there are a few inside and out examinations about Enterprise Resource Planning on cloud computing framework. ERP frameworks are related with a few issues, for example, shared synchronization of multi-composed assets, constrained customization, massive overhauling cost, arrangement mix, industry usefulness, reinforcement support and innovation refreshes. These issues render ERP frameworks execution excruciating, complex and time-devouring and create the need for a huge change in ERP structure to upgrade ERP frameworks foundation and usefulness. Cloud Computing (CC) stages can defeat ERP frameworks inconsistencies with financially savvy, redid and profoundly accessible figuring assets. The objective of this examination is to blend ERP and CC benefits to lessen the factor of consumption cost and execution delays through a proposed system. For this reason, investigate the unmistakable issues in current ERP frameworks through a complete correlation between ERP when moving to CC condition. Also, a conventional structure is proposed for 'Cloud-based ERP frameworks'. 2020 IEEE.