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Fake News Detection in Healthcare Using Machine Learning
The internet has revolutionary power in todays society, acting as an unmatched catalyst for technical innovation, worldwide connectedness, and information dissemination. It has transformed communication and made knowledge more accessible to all, and given people, companies, and society the tools they need to prosper in the connected digital world. However, this power is responsible for navigating issues, such as the proliferation of fake news and safeguarding information integrity. As peoples health comes first, false information about it might have disastrous consequences. Even for the most knowledgeable professionals in the field, identifying false information about health can be difficult because of the variety of factors that must be considered. New advances in machine learning have enabled automatic classification of bogus news. For the detection of fake news correctly, we must train the automation in such a way that it captures the bogus correctly, and for that the data we input is of at most importance and, in fact, the most important as well. To enhance the models capacity to discern between authentic and fake news, this study investigates the extraction of structural and semantic information from text using a combination of named entity recognition and syntactic parsing. Utilizing these characteristics, we trained a variety of machine learning algorithms, assessed their effectiveness, and found that the Random Forest classifier outperformed the others in classification. 2025 Scrivener Publishing LLC. -
Influence of basic need satisfaction, teacher self-efficacy, work-experience of teachers: Twenty-first-century skills instruction
The purpose of this study is to examine the influence of basic need satisfaction (BNS) and teacher self-efficacy (TSE), as well as work experience, on instructional outcomes related to twenty-first-century skills in schools. The rapidly evolving global landscape necessitates those teachers integrate twenty-first-century skills into classroom instruction. Despite a few studies on teachers ability to integrate innovative skills in instruction, limited empirical evidence exists regarding the influence of intrinsic motivation on the instruction of innovative pedagogical skills. Guided by Self-Determination Theory and Social Cognitive Theory, a conceptual model is developed to guide the influence on the instructional framework of twenty-first-century skills. Data are collected from 658 secondary school teachers across the southern states of India. For data collection, the study uses standardized instruments: the Teacher Sense of Efficacy Scale, the Basic Need Satisfaction at Work Scale, and the Twenty-First-Century Teaching and Learning Survey. The results of correlation, mediation, and moderation analyses have addressed the objectives of the study. Teacher self-efficacy shows different types of mediation effects on various components of basic need satisfaction, autonomy, competence, and relatedness, in its association with the instruction of twenty-first-century skills, which emphasizes their differential importance. Furthermore, work experience shows no moderation effect, suggesting the need for professional support for all teachers, regardless of experience. 2026 Conscientia Beam. All Rights Reserved. -
Impact of Network Virtualization on Application Performance Metrics
The advent of network virtualization has redefined modern networking philosophies by allowing the partitioning of physical networks into virtual networks that are easily scalable, elastic, and efficient. The shift has been markedly critical to the function of applications in virtualized settings. This research examines the impact of network virtualization on key application performance indicators, including latency, throughput, packet loss, and resource utilization. The paper empirically assesses factors related to user experience and system performance by analyzing various virtualization technologies, including Software-Defined Networks (SDN), Network Functions Virtualization (NFV), and virtual overlay networks. The approach used entails deploying controlled benchmark applications on both virtualized and non-virtualized networks and measuring deviations from benchmark performance. Results indicate a strong correlation between the moderation of network performance overhead with virtualization and the presence of adaptive performance improvement schemes tailored to specific conditions. The efficiency of the hypervisor, placement of network functions, and orchestration policies significantly influence the responsiveness of the applications Additionally, the paper addresses the increasing scalability limitations of performance in cloud-native and edge-computing environments. There is a finding that indicates increased need for research 'effective intelligent resource management and adaptive network reconfiguration strategies in order to minimize latency and redundant bandwidth allocation bottlenecks'. 2025, Innovative Information Science and Technology Research Group. All rights reserved. -
In-plant production of bricks containing waste foundry sandA study with Belgaum foundry industry
The main objective of this study is to utilize waste foundry sand (WFS) from Belgaum foundry industry in manufacturing of bricks. The process involved production of bricks in a fully functioning brick manufacturing plant, which has a production capacity of approximately 50000 bricks per month. The entire process of combining clay-sand mixtures, forming of bricks, drying and firing was done with local conditions. With minimum process it was possible to introduce upto 50% WFS in clay bodies to produce bricks of desirable properties. The minimum average wet compression resistance of 3.3 Mpa, and maximum average water absorption of 21.6% was obtained for bricks containing 50% WFS, when fired at 900 C. There was insignificant difference in apparent porosity, water absorption, and specific gravity of bricks containing WFS, when compared to commercial bricks. The addition of WFS reduced the bulk density of the bricks, which has also caused reduction in compressive strength. WFS bricks can be classified as class III bricks, based on recommendations of IS 1077 standard specification. These bricks can be used in single storied load bearing structures, and also in the construction of infill walls in multi-storied framed structures. The structure, composition, and morphology of the raw materials, as well as bricks were studied by XRD, XPS, and SEM, respectively. 2018 The Authors -
Geopolymer concrete paving blocks made with Recycled Asphalt Pavement (RAP) aggregates towards sustainable urban mobility development
Policy makers in India have realized the importance of facility for pedestrians and non- motorized vehicles in an urban infrastructure setup. This has resulted in increased utilization of construction materials like Portland cement and crushed stone, which are not environmentally friendly and sustainable. The current study presents the development of paver blocks for pedestrian facility using different wastes. Geopolymer concrete was synthesized by fly ash and recycled asphalt pavement aggregates for making of paver blocks. Paver blocks were produced in laboratory with recycled asphalt pavement aggregate replacement levels of 0%, 20%, 40%, 60% and 80% by weight of virgin coarse and fine aggregates. The developed paver blocks were tested for dimensions and tolerances, water absorption, compressive strength and abrasion resistance as per IS15658:2006 standard. The results of the laboratory study show that recycled asphalt pavement aggregates can be introduced into geopolymer matrix to produce paver blocks of desirable quality. Furthermore, its use in pedestrian facilities provides a new avenue for managing the excessive waste, which otherwise goes in landfills, incurring loss to the paving industry. Therefore, the proposed method can help decision makers to effectively utilize recycled asphalt pavement in paving industry with environment-friendly approach. 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license. -
Alkali-activated concrete paver blocks made with recycled asphalt pavement (RAP) aggregates
This study was conducted to evaluate the feasibility of using recycled asphalt pavement (RAP) aggregates in alkali-activated concrete paver blocks. Due to drastic growth in road expansion projects in India, there is tremendous amount of RAP generated by milling and digging of existing bituminous roads. Even though RAP gets recycled in new bituminous roads, there is still large volume of this material that gets downgraded, especially in urban areas. Therefore, there is a need to effectively utilize the unused RAP in paving industry. Alkali-activated paver blocks were synthesized with fly ash (FLA), ground granulated blast furnace slag (GGBS), NaOH sol., Na2SiO3 sol., RAP and natural aggregates. Natural aggregates were substituted with RAP aggregates at replacement rates of 0 %, 25 %, 50 %, and 75 % by weight. The developed paver blocks were tested for water absorption, compressive strength, and abrasion resistance according to IS 15658: 2006 standard. The results of the laboratory study showed that inclusion of RAP aggregates in alkali-activated concrete reduce the compressive strength and abrasion resistance of the paver blocks. Though there is reduction in strength, developed paver blocks classified for use in pedestrian and non-motorized facility. The study also found that the use of RAP aggregates in paver blocks incur economic benefits. A maximum reduction of 25.8 % in production cost was observed for RAP inclusive alkali-activated paver blocks. Furthermore, the proposed method provides environmental benefits by reducing consumption of Portland cement and natural aggregates from quarries, and thus makes paving industry more sustainable and environment friendly. 2019 The Authors -
The influence of environmentally mindful marketing tactics on the perceptual framework and predispositions of generation Z shoppers in the Indian app
Green marketing decisively helps businesses distinguish themselves from their competition, strengthen their image, and obtain the attention of consumers who increasingly prefer environmentally conscious businesses. By elevating a business's reputation and image, green marketing creates an effect on how people consider a brand and enhances customer loyalty and retention. The "green generation, " or Generation Z, is well-known for its sustainable product preferences and ecological concerns. The study analysed how green marketing techniques relate to and affect Gen Z customers' purchasing habits in India's garment industry. The study targeted 300+ Gen Z consumers through an online cross-sectional survey to get information on their perceptions of green brands, green marketing tactics, purchase intentions, and buying patterns. This study found that green marketing tactics used by fashion firms have a favorable impact and the ability to affect various aspects of customer behavior. 2024, IGI Global. All rights reserved. -
Green Finance and Sustainability: Landscape of Indian Financial Institutions
Today, green finance and sustainability have become integral parts of the global financial landscape, and it is the Indian financial institutions that are leading the way. This chapter delves into the intricate landscape of green finance and sustainability in Indian financial institutions. It focuses on regulation, green bonds, sustainable banking, public and private sector initiatives, and the challenges and opportunities they present. The Reserve Bank of India (RBI) and the Securities and Exchange Board of India (SEBI) are at the forefront of these initiatives. The RBI, for instance, is already taking significant steps, such as incorporating sustainability into its policy framework, by considering renewable energy in its priority sector lending norms. SEBI, conversely, has made it mandatory for all listed companies to disclose their ESG practices under the Business Responsibility and Sustainability Reporting (BRSR) framework, a move that promotes transparency and sustainable practices. Green bonds are a potent financial instrument for directing capital toward environmentally sustainable projects. In India, the Indian Renewable Energy Development Agency and several banks have proactively issued green bonds to finance renewable energy, energy efficiency, and clean transportation projects. The State Bank of Indias issuance of its first green bond in 2018, raising USD 650 million for a green project, is a testament to SBIs dedication to sustainable finance and a model for other financial institutions. Indian banks are increasingly integrating environmental, social, and governance (ESG) criteria, a set of standards for a companys operations that socially conscious investors use to screen potential investments in their lending and investment decisions fostering longterm green banking practices. They also provide green loans for projects with positive environmental impacts and incorporate climate risk assessment into their risk management frameworks driven by regulatory mandates and market demand for responsible investments. Both the public and private sectors in India are actively promoting green finance. The government provides support and technical know-how for fund arrangements for green projects through initiatives like the Green Climate Fund and the International Solar Alliance. Major corporations, including Tata Power and Reliance Industries, also invest heavily in renewable energy sources aligning with corporate sustainability trends. However, green financing in India still faces challenges. For instance, the general public is unaware of green financial products, which hampers their adoption. The limited number of such products and weak regulatory support pose significant hurdles. Despite these challenges, the potential for green finance in India is immense. The increasing recognition of climate change-related risks is driving demand for resilient investments. The progress in renewable energy and efficiency technologies is creating new investment opportunities, and international collaborations can enhance the capacity of Indian financial institutions to support green projects. Finally, the green finance and sustainability landscapes in Indian financial institutions are dynamic and changing rapidly. Regulatory systems, innovative financial instruments, sustainable banking practices, and proactive initiatives from public and private sectors collectively drive green finance growth and support by the countrys strive toward green financing of its transition to a sustainable and resilient economy. 2025 Scrivener Publishing LLC. -
LCLC Based AC-DC Single-Stage Resonant Converter with Natural Power Factor Correction
LLC-based AC-DC resonant converters make excellent EV chargers because of their high efficiency, high power density, and soft switching properties. Efficiency is increased and the need for a larger series inductor is lowered by connecting a capacitor across the magnetising inductance of the LLC resonant architecture (LCLC configuration). Switching frequency control is commonly used to regulate the converter's output DC voltage. However, there is a significant relationship between the converter's power factor and switching frequency. As a result, any changes in load may result in a lower power factor for the converter. This paper suggests a single-stage topology based on the LCLC resonant structure. The LCLC resonant configuration ensures zero voltage switching (ZVS) of the IGBTs used in the converter. Converters have a power factor correction (PFC) stage on the front of the converter to achieve natural power factor correction. Since the PFC stage and the resonant stage are controlled by the same switches, the converter is smaller and less expensive. A bridgeless rectification method is applied in the proposed topology to reduce the number of switching devices. MATLAB/Simulink simulations are used to validate the topology. 2023 IEEE. -
On-board Converter for Electric Vehicle Charging using LCLC Resonant Topology
Due to their high efficiency, high power density, and soft switching characteristics, LLC-based AC-DC resonant converters are a great choice for EV chargers. Adding a capacitor across the magnetizing inductance of the LLC resonant architecture (LCLC configuration) enhances efficiency and reduces the need for a larger series inductor. The output DC voltage of the converter is generally regulated using switching frequency control. However, the power factor of the converter varies significantly with the switching frequency. As a result, any fluctuations in load may cause the converter to operate at a lower power factor. This paper proposes a single-stage topology based on the LCLC resonant structure. Zero voltage switching (ZVS) of the IGBTs used in the converter is ensured by the LCLC resonant configuration. Converter have a power factor correction (PFC) stage on the front of the converter to achieve natural power factor correction. Since the PFC stage and the resonant stage are controlled by the same switches, the converter is smaller and less costly. Simulations in MATLAB/Simulink are used to validate the topology. 2023 IEEE. -
Single-Stage Bidirectional Three-Level AC/DC LLC Resonant Converter with High Power Factor
The increasing demand for efficient and high-performance power converters in electric vehicle technology and renewable energy integration has brought attention to LLC resonant converters due to their advantages in soft switching, inherent short circuit and open circuit protection, and high efficiency. These converters are particularly well-suited for high-frequency operation, making them ideal for electric vehicle battery charging and other power conversion tasks. However, when integrated with a front-end boost power factor correction (PFC) stage in AC-DC applications, challenges arise in maintaining power balance during transients, leading to voltage fluctuations and potential operational instability. Moreover, light load conditions can result in excessive switching frequencies, causing elevated switching losses and control difficulties. Additionally, traditional LLC resonant converters face limitations related to high voltage stress on switches, which affects device reliability and overall converter performance. To address these issues, researchers have explored the use of multilevel inverters, but they introduce complexity and cost. In this context, this paper proposes a novel single-stage, three-level bidirectional AC-DC LLC-based resonant converter with features like zero voltage switching and duty ratio control for output voltage regulation. The converter achieves a unity displacement power factor naturally through discontinuous conduction mode. Simulation results demonstrate the converter's effectiveness of the proposed topology. The proposed converter offers a promising solution for Electric vehicle chargers, combining unity power factor operation and efficient bidirectional power flow control in a single topology. 2024 IEEE. -
Design and Implementation of a Single Phase Resonant Converter with Natural Power Factor Correction for Onboard Electric Vehicle Charging Applications
The proposed converter introduces a dual inductor dual capacitor (LCLC) resonant configuration by integrating the series inductance as the transformers leakage inductance and adding a parallel capacitor to the magnetizing inductance, enhancing power density and efficiency. Dual inductor capacitor (LLC) resonant converters used for alternating current to direct current (AC/DC) conversion are highly suitable for electric vehicle (EV) chargers due to their superior efficiency, high power density, and soft switching capabilities. This work increases power density by minimizing the size of the series inductor typically required in LLC converters through integration with the transformers leakage inductance. To control the output DC voltage, switching frequency control is utilized. However, the power factor of AC/DC resonant converters is generally poor. To improve the power factor, the proposed converter uses a boost converter at the front end, operating in discontinuous conduction mode (DCM) to achieve a unity displacement power factor. By sharing the same switches for both the power factor correction (PFC) and resonant stages, the converter is made more compact and cost effective. Furthermore, a bridgeless rectification technique is implemented to minimize the count of switching devices. The proposed topology and control strategy have been verified through hardware results on a 1500W LCLC AC/DC resonant converter with a 48 V, 30Ah lithium-ion (Li-ion) battery pack. This topology achieves high efficiency with zero voltage switching (ZVS), improved power factor, reduced component count, and a compact, cost effective design by sharing switches between PFC and resonant stages. The Author(s) under exclusive licence to The Korean Institute of Electrical Engineers 2026. -
pH-dependent water permeability switching and its memory in MoS2 membranes
Intelligent transport of molecular species across different barriers is critical for various biological functions and is achieved through the unique properties of biological membranes14. Two essential features of intelligent transport are the ability to (1) adapt to different external and internal conditions and (2) memorize the previous state5. In biological systems, the most common form of such intelligence is expressed as hysteresis6. Despite numerous advances made over previous decades on smart membranes, it remains a challenge to create a synthetic membrane with stable hysteretic behaviour for molecular transport711. Here we demonstrate the memory effects and stimuli-regulated transport of molecules through an intelligent, phase-changing MoS2 membrane in response to external pH. We show that water and ion permeation through 1T? MoS2 membranes follows a pH-dependent hysteresis with a permeation rate that switches by a few orders of magnitude. We establish that this phenomenon is unique to the 1T? phase of MoS2, due to the presence of surface charge and exchangeable ions on the surface. We further demonstrate the potential application of this phenomenon in autonomous wound infection monitoring and pH-dependent nanofiltration. Our work deepens understanding of the mechanism of water transport at the nanoscale and opens an avenue for the development of intelligent membranes. 2023, The Author(s), under exclusive licence to Springer Nature Limited. -
Determinants of renewable stock returns: The role of global supply chain pressure
This study investigates the determinants of the global renewable stocks index returns from November 2003 to August 2022. The explanatory variables include global supply chain pressure measures, climate policy uncertainty, global economic activity, and crude oil prices. The long-run panel dynamic Autoregressive Distributed Lag estimations show that the global supply chain pressure, climate policy uncertainty, and global economic activity redound renewable stock returns. These results are robust enough to utilise different long-run estimation techniques. Potential policy implications are also discussed. 2023 The Authors -
Cation-controlled wetting properties of vermiculite membranes and its promise for fouling resistant oilwater separation
Manipulating the surface energy, and thereby the wetting properties of solids, has promise for various physical, chemical, biological and industrial processes. Typically, this is achieved by either chemical modification or by controlling the hierarchical structures of surfaces. Here we report a phenomenon whereby the wetting properties of vermiculite laminates are controlled by the hydrated cations on the surface and in the interlamellar space. We find that vermiculite laminates can be tuned from superhydrophilic to hydrophobic simply by exchanging the cations; hydrophilicity decreases with increasing cation hydration free energy, except for lithium. The lithium-exchanged vermiculite laminate is found to provide a superhydrophilic surface due to its anomalous hydrated structure at the vermiculite surface. Building on these findings, we demonstrate the potential application of superhydrophilic lithium exchanged vermiculite as a thin coating layer on microfiltration membranes to resist fouling, and thus, we address a major challenge for oilwater separation technology. 2020, The Author(s). -
Transforming potential into performance: harnessing AI-driven competency frameworks to nurture talent in higher education
The Indian Higher Education System is the backbone for economic expansion, creativity and innovation resulting in the progress of the nation. With a huge network of universities, colleges, and institutes, India's higher education system is one of the world's largest, serving millions of students. Despite its rapid growth the Higher Education System in India is witnessing issues like lower research output in comparison with global benchmarks, shortage of qualified academic staff and inadequate quality. Considering the available store house of literature and need gap analysis this paper aims to investigate how competence frameworks powered by artificial intelligence might help to turn promise into performance, to examine the changing talent needs in Higher Education by looking at how the demands of academia, industry, and research are always changing and also to investigate AI's function in Competency-Based Talent Management. Based on the discussions of multiple spectrums namely, Academic excellence, Students employability and Industry readiness, Research Innovation, Teaching effectiveness, Global and National Rankings and Faculty Satisfaction, the paper has suggested the implementation of AI to all pervasively enable the academic Institutions to grow, diversify and enrich the talent acquisition and retention. The paper also focussed on the significance of the inclusion of AI driven automation process to tide over the mundane difficulties of administrative work, to enrich the collaborative research initiatives, to benefit the teaching community to concentrate on modern andragogies, to upscale the Global and National Rankings, to gain academic excellence, to strengthen the employability skills among the students and ultimately to promote the overall satisfaction of the educators and educates. The paper concluded that well trained Higher Education Institutions can optimize their workload judiciously by incorporating AI tools and in turn can contribute to a better learning environment. 2026 Elsevier Inc. All rights reserved. -
Effective Methods of Waste Management Practices in Green Hotels Toward Green Brand Image: An Empirical Study
The changes in consumer tastes are a significant motivating factor for hotels to adopt environmentally friendly practices. Recently, there has been a significant focus on the perils of climate change and the significance of adopting sustainable practices. As a result, environmentalism now influences almost every consumer decision. With the increasing awareness of environmental sustainability in the hospitality industry, the options for eco-friendly hotels are expanding, providing a wider range of choices for potential customers. Thus, this study seeks to examine the efficient strategies employed by green hotels for trash management to enhance their green brand image. Customer data from hotels was gathered and examined using SPSS 25 software. The findings suggest that implementing energy efficiency measures, promoting water conservation, and adopting sustainable and environmentally conscious building practices are effective approaches to waste management that can improve a companys brand image. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025. -
Enhancing Low-Power VLSI Design through AI-Based Simulation and Optimization
AI and ML techniques have dramatically influenced rapid developments in low-power VLSI design with fast advancements in device simulations and power optimization strategies. AI-based simulation tools are now used for accurate modeling of power consumption, improving thermal analysis, and quickening design iterations through the detection of inefficiencies and optimization of energy consumption. In fact, this work focuses on some AI-enabled methods of power reduction techniques such as voltage scaling, clock gating, and leakage current minimization with respect to a sustainable VLSI design. Moreover, a synthetic dataset is created to mimic the actual power consumption trend in VLSI circuits so that predictive modeling and regression techniques can be used for power estimation. Different regression models are used to check the predictive accuracy, and it was found that the highest R2 score was 0.85 by Linear Regression, while the worst was achieved by Decision Tree Regression at 0.50. Results of the correlation analysis and models by machine learning clearly indicate that the frequency and operating voltage are the major contributors to consumption power, while gate counts have a relatively insignificant contribution. Introduction of AI in VLSI simulation enables the enhancement of power efficiency while maintaining sustainability outcomes by optimizing energy usage and cost reduction in terms of computation. 2025 IEEE. -
Psychoneuroimmunological Perspective of Animal - Assisted Therapy
Animal-assisted therapy is a new and upcoming form of therapy that has shown multifarious benefits to participants. It is a goal-oriented therapeutic process with the incorporation of a qualified therapy animal in the therapeutic activities and conversations. This paper explores these benefits from a psychoneuroimmunological lens, wherein the interplay of and impact on an individual's psychological, neurological and immune systems are discussed. Positive physical interaction with therapy animals reduces undesirable symptoms and ailments such as stress, anxiety, depressive symptoms, aggressive tendencies, harmful behaviours, cardiovascular issues and unhealthy tendencies amongst others. It further promotes a healthier lifestyle, promoting quality of life, better heart health, cognitive functioning and overall well-being. The biological basis of these benefits is discussed. 2024 Oriental Scientific Publishing Company. All rights reserved. -
EFFECT OF ANIMAL-ASSISTED THERAPY ON DEPRESSION, MEMORY, ATTENTION, AND EMOTION REGULATION
Introduction: The mere presence of a dog in a therapeutic setup is known to bring about more positive outcomes when incorporated in therapy, dogs can bring about multifarious benefits which are not entirely tapped upon. Aim: This research aimed to study the effect of animal-assisted therapy (AAT), with therapy dogs, on depressive symptoms, emotional regulation, memory and attention of individuals. Method: A pretest-posttest quasi-experimental research design was used. Psychology Experiment Building Language (PEBL) for memory and attention, Difficulty in Emotion Regulation Scale (DERS) and Hamilton Depression Rating Scale (HDRS) were used for pre and post-testing 1 week before and post the intervention. Results: The findings reveal a positive impact of AAT on the given domains of memory, attention, emotion regulation and depressive symptoms, in the experimental group. No significant changes were obtained for the control group. Discussion: The results help validate the module of AAT to improve an individuals cognitive functioning and alleviate depressive and emotional dysregulations. Further implications are discussed. 2023, Institute for Human Rehabilitation. All rights reserved.