Volume 13 | Issue 10

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Keywords: Green formulation, polyherbal gel, essential oils, pain management, anti-inflammatory, analgesic.

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Gridhrasi, is one of the Nanatmaja Vatavyadhi described in Ayurveda, is characterized by pain, stiffness, and radiating discomfort from the sphik (buttock) down to the pada (foot). The symptomatology resembles Sciatica in modern medicine, typically associated with lumbar disc herniation and nerve-root compression. Contemporary management includes analgesics, muscle relaxants, steroids, and surgical decompression in refractory cases, but these carry risks of recurrence, dependency, and adverse effects. Ayurveda provides both Shodhana (purificatory) and Shamana (palliative) modalities for Gridhrasi. Among these, Viddhakarma (therapeutic puncturing with needles) and Rasnadi Gutika (a classical formulation from Chakradatta) have shown notable results. Viddhakarma provides rapid symptomatic relief through Srotoshodhana and Vata Shamana, while Rasnadi Gutika -composed of Rasna,Guggulu, and Ghrita-addresses the root pathology by correcting Vata-Kapha Dushti and nourishing tissues. This review explores the classical foundations, pharmacological basis, probable mode of action of both therapies, emphasizing Viddhakarma as a minimally invasive and proposed Ayurvedic procedure for Sciatica.

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Gridhrasi, Sciatica, Viddhakarma, Rasnadi Gutika, Ayurveda

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Electronic waste (e-waste) has emerged as one of the fastest-growing global waste streams due to rapid digitalization and shorter product lifespans. Improper disposal practices lead to severe environmental and health hazards, especially in countries like India, where the informal recycling sector dominates. This paper proposes a reward-based e-waste collection system that encourages consumers to participate in formal recycling through digital incentives and tracking mechanisms. Leveraging technologies such as IoT, blockchain, mobile applications, and cloud-based analytics, the framework ensures transparency, traceability, and user engagement. The study also examines global best practices, economic and social impacts, and provides policy recommendations to promote sustainable e-waste management within India's socio-economic context.

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E-waste management, Reward system, Circular economy, Blockchain, IoT, Sustainability

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Chatbots and voice assistants have slowly become more than a mere experiment and are now considered a part of service marketing. They enable the brands to be available wherever they need and collect a wealth of information on behaviour which can be used to personalise the interactions. Nevertheless, a lot of organisations are still apprehensive since the consequences on customer experience cannot always be foreseen. This review is based on the results of thirty-four studies and industry publications (2018-2025) to gain knowledge about the strong and weak aspects of human-AI service encounters. Based on the Technology Acceptance Model and the concepts of Relationship Marketing, the study points out evident benefits: conversational systems, when designed in a sensible way, have the potential of boosting the level of engagement and boosting the degree of satisfaction, in addition to improving the rates of click-throughs. Nevertheless, the same literature constantly singles out such risks as trust, privacy, authenticity, fairness, and the resilience of digital operations. To manage such challenges, firms are advised to go transparent in their data practices in active consent, create hybrid service strategies where sensitive issues are addressed by human employees, and carry out regular audits to observe bias and communication standards. Moving forward, it is noted that more extensive, multi-platform studies are necessary that would be able to capture the impact of these interactions on the loyalty and the brand value in the long term. An even-handed strategy between innovation and accountability will eventually enable firms to provide efficiency in digital service provision without fully neglecting the ethical responsibility.

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In this research paper, a detailed overview of Edge Artificial Intelligence (Edge AI) is given in which processing capabilities of AI are embedded into edge devices near the sources of data generation. This paper discusses the history, processing models, and implementations of Edge AI in a variety of industries and how it can support real-time and low-latency decision-making as well as minimize bandwidth reliance and improve data privacy. The paper also explores resource limitation, security vulnerability and scalable issue as some of the major challenges that limit the implementation of Edge AI at present. Moreover, the future research directions are outlined, such as improved specialized hardware, lightweight, and adaptable AI models, federated learning, strong security frameworks, and edge-cloud infrastructure coordination. It will be used to guide continued innovation and deployment of Edge AI technologies to develop smarter, more efficient, and privacy-vaulting intelligent systems, and revolutionize industries and make AI-driven applications ubiquitous.

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EdgeAI, Edge Computing, Artificial intelligence, Internet of things(IoT), Network Edge

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In recent years, the demand for intelligent systems capable of rapidly and autonomously adapting to new tasks and environments has accelerated the development of meta-learning frameworks. Between 2024 and 2025, the field has seen substantial innovation, particularly in the design of meta-learning frameworks for adaptive automatic adaptation. These frameworks aim to enable machine learning models to generalize from prior experience and automatically adjust to unseen tasks with minimal data and computation. Unlike traditional learning paradigms that require extensive retraining, meta-learning provides a mechanism for "learning to learn," where the adaptation process itself is optimized during training.

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Meta-learning, Adaptation, Automatic Learning, Few-shot Learning, Continual Learning

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Artificial Intelligence (AI), has become prevalent in every sector. Healthcare industry is also advancing their techniques by using Artificial Intelligence (AI) algorithms. From designing a drug in laboratory to predicting the approval of a drug for its marketing, artificial intelligence is playing a significant role. Although, AI was considered as a science fiction stuff, a flood of innovations and inventions based on Artificial Intelligence (AI) were beyond the boundaries of possibilities in medicine. In current scenario, Artificial Intelligence is more than just a burgeoning technology. 'No one can predict the future' is not the reality in the current scenario. In the Healthcare sector, Artificial Intelligence is working as a myth buster by predicting the drug approval from past data in the supervision of the experts. In future, we can expect a complete reliance on this technology for the new drug approval with accuracy, precision and safety. In this extract, significance of artificial intelligence in drug approval prediction is taken into consideration. In addition, new insights on future implications of artificial intelligence in making life healthier are also discussed.

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Artificial Intelligence, Machine Learning, Algorithms, Prediction, Drug Approval, Drug Development, Drug Discovery, Healthcare Technology

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Mosquito-borne diseases remain a significant public health concern globally, necessitating the development of effective, safe, and eco-friendly mosquito control strategies. The present study focuses on the formulation and evaluation of a polyherbal mosquito repellent dhoop using natural plant-based ingredients with proven repellent properties. Herbal components such as Azadirachta indica (Neem), Vitex negundo (Nirgudi), camphor was incorporated into a combustible base composed of Rice husk powder. These ingredients were selected based on their traditional and scientifically validated mosquito repellent activity.The formulated dhoop were prepared by blending the herbal powders with water molding them, followed by shade drying. Evaluation was conducted based on parameters such as burning time, smoke consistency, organoleptic properties, and repellent efficacy was determined based on public responses to questionnaire. The results indicated that the polyherbal formulation exhibited significant repellent activity, comparable to commercial mosquito repellents, while offering the advantages of being biodegradable, non-toxic, and free from synthetic chemicals.[1]

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Mosquito Repellent, Incense stick, Herbal, Neem, Nirgudi, Camphor, Ricehusk

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Hepatitis is an inflammation of the liver parenchyma that is mostly brought on by viruses and other elements. A headache, myalgia, arthralgia, nausea, anorexia, dark urine, yellow colouring of the skin, mucosa, sclera, and other tissues are some of the symptoms of this non-specific prodromal sickness.

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Hepatitis B, Nucleoside analogues, Hepadna viruses, Viral hepatitis, Hepatitis

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Kaseesa is one of the iron compound which is explained in Rasashastra under Uparasa group. It is identified as iron sulphate or ferrous sulphate, also known as green vitriol. It can be synthetically prepared in the lab, which is called as artificial kasees or kritrima kaseesa. Regarding these references are noted in the Rasagranthas like Rasatarangini. Shudda Loha Churna, Sura (ethanol) and diluted Gandhakamla (Sulfuric acid) are using for the preparation of artificial Kaseesa. Method of preparation is according to Rasatarangini 21st Taranga 234 to 239th shloka. Shudda Loha Churna and Diluted Gandhakamla (Sulfuric acid) with distil water (that is 1:9 respectively) are collectively taken in beaker. There will be exothermic reaction between Iron and diluted sulfuric acid leading to changes in color and Physical appearance of artificial Kaseesa can be observed in the beaker was noticed. shudda Loha Churna used for the preparation of Artificial Kaseesa is about 60gms and final quantity of artificial Kaseesa we got is about 58.620gms, and diluted sulfuric acid used is 220ml and filtration of mixer of diluted sulfuric acid and Shudda Loha Churna is about 180ml and ethanol used for the preparation of artificial Kaseesa is 180ml that is equal to filtrate.

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Kaseesa, Shudda Lohachurna, Dilution of sulfuric acid, Ethanol, artificial preparation of Kaseesa.

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The Code of Civil Procedure, 1908 (CPC), is one of the most important procedural laws in India. It provides the framework for the fair and efficient resolution of civil disputes. Among its various provisions, the right to appeal is one of the most vital. An appeal gives a party the right to approach a higher court if they are dissatisfied with the decision of a lower court. It ensures that no injustice remains uncorrected and that judicial errors, whether of fact or law, can be reviewed and rectified. However, the appeal process also has its drawbacks. It can lead to long delays in justice, increase litigation costs, and cause backlog in courts. Despite this, appeals remain a cornerstone of natural justice and the rule of law. Here we will discuss in detail the concept, nature, and types of appeals under the Code of Civil Procedure, 1908. It explains the statutory framework, constitutional connection, important case laws, challenges faced by the appeal system, and possible reforms to make it more effective. The study concludes that while appeals are necessary for justice, they must be regulated to ensure speedy and fair adjudication.

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Appeal, Civil Procedure Code, Judiciary, Justice, Substantial Question of Law, Right to Remedy, Natural Justice, Delay, Frivolous Litigation, Access to Justice.

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Through this secondary data-based research article, the author hopes to highlight the identification and analysis of new NPA patterns as well as a detailed study of the Insolvency & Bankruptcy Code, 2016. The impact of IBC, 2016 in India is the main subject of the research. Key IBC provisions and the introduction of NPA are covered in the work. Specialized literature was chosen and employed for research, which gives the idea more vitality. Research papers, publications, and webpages are examples of secondary data. Because of its direct connection to SBI, the case study of Bhushan Steel, which was bought by Tata Steel, has been elevated on purpose. Additionally, IBC's quantitative and qualitative analyses were discussed. The effectiveness of IBC as a remedy for non-performing assets (NPAs) and emerging trends in NPAs were succinctly described. At the conclusion of the study, a diagrammatic depiction was used to show the effects of insolvency and bankruptcy in India. A few shortcomings of the IBC Act were also mentioned in the conclusion, along with the use of the BIFR Act of 1985 and the SARFAESI Act of 2002.

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Quantitative and Qualitative analysis, IBC Act, Emerging trends of NPAs, BIFR Act, 1985, SARFAESI Act, 2002.

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Manual resume screening is one of the most resource-intensive stages of recruitment, often consuming excessive time and introducing unconscious biases into hiring decisions. With the exponential rise of digital job portals, recruiters face overwhelming applicant volumes, making traditional keyword-based filtering insufficient. This paper proposes an AI-powered resume screening framework that integrates Natural Language Processing (NLP), predictive analytics, and optional video resume evaluation to improve both efficiency and fairness in candidate selection. The proposed model extracts structured information from unstructured resumes, matches candidates with job requirements using similarity measures, and applies predictive models to forecast retention likelihood. An ethical layer ensures de-biasing, anonymization, and compliance with legal safeguards. A synthesis of prior research demonstrates that AI-driven systems can reduce screening time by up to 60%, improve candidate-job matching compared to keyword search, and enhance engagement when video resumes are included, though legal concerns remain,The findings highlight that AI-powered screening can significantly transform HR practices while requiring careful attention to bias and privacy challenges.

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Artificial Intelligence (AI), Resume Screening, Natural Language Processing (NLP), Applicant Tracking Systems (ATS), HR Automation.

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Punarvartaka Jwara is a recurrent fever that arises from a digestive disruption and an insufficient resolution of imbalance of dosha. Such recurring fevers are associated with Mandagni, Ama, Krimi, and Dhatu Kshaya in Ayurveda. In this case study, a 4.5-year-old boy with recurring fever and anaemia was successfully treated with Tapyadi loha, Rajanyadi Churna, and Kirattiktadi Kwatha, and some other Ayurvedic formulations. Within two months, there was a noticeable increase in immunity, digestion, and Hb levels (from 9.0 g/dL to 11.5 g/dL), and there was no recurrence of fever after that. The instance demonstrates how well the Ayurvedic treatment works to treat Punarvartaka Jwara in paediatric patient.

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AYURVEDIC MANAGEMENT OF PUNARVARTAKA JWARA (RECURRENT FEVER) WITH PANDUTAM IN A CHILD - A CASE REPORT

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The airport stand assignment problem (ASAP) involves the allocation of arriving and departing aircraft to available parking stands (gates) while respecting operational and spatial constraints. An effective stand assignment significantly influences airport efficiency, passenger comfort, and airline performance. This research develops a mixed-integer programming (MIP) model to minimize total passenger walking distance, thereby improving transfer efficiency and traveler experience. The paper reviews recent studies (2020-2024) on gate and stand assignment problems, emphasizing passenger-centric optimization objectives. The proposed model uses binary decision variables representing flight-stand allocations, subject to exclusivity and non-overlapping temporal constraints. The optimization is implemented using Python's PuLP library with the CBC solver on synthetic datasets that simulate flight schedules and passenger volumes. Results demonstrate that minimizing walking distances yields considerable improvements over random or naive assignment strategies. Finally, scalability, trade-offs, and future research directions--such as multi-objective formulations and robust optimization--are discussed.

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Airport stand assignment; Gate allocation; Passenger walking distance; Integer programming; Optimization; Ground operations.

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The legal industry is undergoing a revolutionary change as more and more virtual court sessions are being used to improve judicial systems' accessibility, efficiency, and openness. This paradigm change is not without difficulties, though. This study focused on the legal and constitutional ramifications of the Chief Justice's Practice Direction while examining the use of virtual court sessions in India. Although there are potential benefits to digitizing judicial procedures, significant issues remain, including concerns about privacy, technology inequality, and the protection of due process rights. The study used a recent legal case to support its conclusion that Indian laws do not cover administrative and practice guidelines. The paper analyzed and suggested a solution framework to maintain virtual court systems in India using the Innovation Diffusion Theory as a lens. The study's conclusions included the virtual court hearing's implementation strategy's inconsistency with the current legislative framework for upholding citizens' fundamental rights and due process. A balanced strategy that recognizes the benefits of technology and the conventional legal system is needed to find the answers. The tactics that address implementation and legitimacy issues, improve the security of virtual court technology's compliance with the current legal framework and practices, and guarantee long-term adherence to constitutional standards should be of utmost importance if virtual court hearings are to be sustained. To guarantee seamless implementation, substantive laws and regulations, including pertinent constitutional revisions, could be required.

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Virtual Courts

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Artificial intelligence (AI) is the ability of computer systems to do tasks that normally require human intelligence. AI is rapidly developing and changing every facet of healthcare, including diet. This review has four goals in mind: The objectives are as follows: (i) to investigate the role artificial intelligence (AI) plays in nutrition research; (ii) to identify nutrition-related domains where AI is being applied; (iii) to understand the possible impact of AI in the future; and (iv) to investigate possible issues with the application of AI to nutrition research. The primary findings demonstrated that artificial intelligence's role in nutrition is still in its infancy, with a focus more on dietary assessment and less on lifestyle modifications, predicting malnutrition, and comprehending illnesses linked to diet. Clinical study is necessary to determine the efficacy of AI intervention. The ethics of employing AI is a significant topic that has not yet been addressed and has to be considered in order to prevent collateral harm to particular communities. The review's focus on specific dietary areas was limited due to the variety of the available evidence. Future study should prioritize specialized evaluations in nutrition and dieting in order to better grasp AI's potential in human nutrition.

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artificial intelligence in nutrition, chatbots, machine learning, dietary assessment, malnutrition.

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Artificial Intelligence (AI) stands at a critical juncture, offering unprecedented innovation while simultaneously posing severe threats to digital privacy, security, and intellectual property. This review paper systematically analyzes the multifaceted privacy crises inherent in the AI era, focusing on non-consensual data collection, the proliferation of harmful deepfakes, and the contentious use of human creations for model training. It further explores a often-overlooked consequence: how AI privacy breaches fundamentally corrupt the integrity of data-driven product design, leading to biased, insecure, and untrustworthy outcomes. Synthesizing recent scholarly literature, the paper identifies significant gaps in current legal and ethical safeguards, arguing that a fragmented regulatory landscape is insufficient. The findings advocate for a proactive, interdisciplinary approach, including the mandatory integration of "Privacy by Design" principles, to ensure that technological advancement is balanced with the unwavering protection of fundamental human rights and the foundation of ethical innovation.

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AI Privacy Breaches Deepfakes Non-Consensual Data Collection Privacy by Design AI Ethics and Governance

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In this paper, we introduce the new class of closed sets namely, intuitionistic fuzzy g^ *closed sets in intuitionistic fuzzy topological spaces using intuitionistic fuzzy generalized closed sets. Also we discuss some basic properties and investigate the relationship with other existing intuitionistic fuzzy closed sets in intuitionistic fuzzy topological space.

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Intuitionistic fuzzy topology, Intuitionistic fuzzy g^* closed sets, Intuitionistic fuzzy generalized closed sets, Intuitionistic fuzzy generalized open sets.

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As supplemental treatments for cardiovascular illness, herbal cardioprotective substances including terminalia arjuna (Arjuna) and Crataegus spp. (Hawthorn) have drawn more and more scientific interest. Rich in triterpenoids, flavonoids, and tannins, arjuna has long been used to treat angina and ischemic heart disease because of its antioxidant, anti-ischemic, lipid-modulating, and myocardial-protective properties. Stronger data from standardized extract studies suggests that hawthorn includes flavonoids and oligomeric procyanidins that improve endothelial function, increase exercise tolerance , and include vasodilation in mild-to-moderate chronic heart failure .The dearth of large head-to-head randomized studies, preparation variation and inadequate long-term safety data remain significant constraints, despite the fact that both botanicals are generally well tolerated and have potential complimentary processes, suggesting synergistic application in cardiovascular therapy. All things considered, Arjun and hawthorn are potential phytotherapeutic agents that need more systematic, extensive clinical research to confirm their safety, effectiveness, and ideal combination for use in contemporary cardiovascular care

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Terminalia arjuna; Hawthorn; Cardiovascular health; Antioxidant activity; Synergistic therapy; Triterpenoids, Flavonoids, Phytotherapy, Ischemic Heart Disease, Endothelial Function, Anti-inflammatory action, Polyphenols.

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