Volume 13 | Issue 7

 Abstract

Time crystals challenge traditional ideas of how matter behaves by introducing periodic motion not in space, but in time. These fascinating quantum systems display temporal regularity even when they are not supplied with energy, defying classical expectations of stability in ground states. First introduced as a theoretical concept by Frank Wilczek in 2012, time crystals were initially dismissed as impossible. However, within a few years, experimental physicists achieved tangible results, bringing this unique state of matter to life. This paper outlines the theory behind time crystals, their experimental confirmation, and the exciting new questions they raise about the boundaries of symmetry and motion in physics.

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Quantum states, temporal symmetry, non-equilibrium matter, periodic systems, Floquet dynamics

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Male infertility, particularly of idiopathic or psychosomatic origin, poses a growing challenge in reproductive medicine. The association between psychological stress and male reproductive dysfunction is well-documented yet remains inadequately addressed in mainstream healthcare. This case study explores the Ayurvedic management of a 31-year-old male presenting with primary infertility and Chittodvega (anxiety), categorized under Manas Vikar Janya Vandhyatva in Ayurveda. A holistic Ayurvedic protocol comprising Shodhana therapy (Yoga Basti), Shamana (oral Rasayana and Vajikarana medications), and Satvavajaya Chikitsa (psychological interventions) was administered. Complementary modern pharmacotherapy, including Lopez-MD and Addyzoa, was initially provided. Marked improvement was observed in semen parameters, libido, and psychological well-being over six months. Natural conception was achieved, indicating the potential efficacy of integrated Ayurvedic management.This case supports the relevance of addressing the psychoneuroendocrine axis in male infertility. A tailored Ayurvedic regimen targeting both somatic and psychological dimensions may offer a viable therapeutic alternative

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Vandhyatva, Chittodvega, Shukra Kshaya, Manas Roga, Rasayana, Vajikarana

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Impact of AI- Based Marketing on the Performance of Financial Companies: A Special Reference to Limited Liability Partnerships Ms. Jigna Pabari (Author) CA Dr. Gajanan Pandit Wader (Co-Author) Mahatma Education Society's Pillai College of Arts, Commerce & Science (Autonomous) Dr. K.M. Vasudevan Pillai Campus, Sector 16, New Panvel, Navi Mumbai. MH, India Abstract: AI can analyse vast amounts of data, identify patterns, and make informed decisions in real time. AI is driving significant advancements in Financial Company with special reference to Limited Liability Partnerships. By optimising performance, enhancing safety, and improving user satisfaction, AI is paving the way for a future where Financial Company with special reference to Limited Liability Partnerships are not only sustainable but also efficient and intelligent modes. Artificial Intelligence (AI) is revolutionising the financial industry, particularly in optimising Financial Company with special reference to Limited Liability Partnerships performance. With its transformative capabilities, AI is enhancing efficiency, safety, and user experience across various aspects of Financial Company with special reference to Limited Liability Partnerships. From predictive maintenance to autonomous features, management systems, smart infrastructure, and personalised user interfaces, AI is driving innovation and optimisation in the Financial Company with special reference to Limited Liability Partnerships landscape. As far as AI based marketing is concerned, following of them are taken into consideration viz, FullStory, Zapier, Chatfuel, Albert.ai, Influencity etc. whereas in case of Financial Company Business, they were taken under the consideration as per their annual turnover.

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Artificial Intelligence based Marketing, Financial Company, Limited Liability Partnership

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Mosquito-borne diseases pose a significant threat to public health, necessitating thedevelopment of effective and eco-friendly mosquito control solutions. This study explores the formulation of a herbal mosquito repellent candle incorporating neem (Azadirachta indica) and cinnamon (Cinnamomum verum) extracts as active ingredients. These botanical extracts are known for their strong insecticidal and repellent properties. The candle was prepared using natural wax as a base, ensuring a sustainable and non-toxic alternative to synthetic repellents.The effectiveness of the formulated candle was evaluated through mosquito repellent tests and anti-larval study.The mosquito repellent test assessed the ability of the candle to deter adult mosquitoes, while the anti-larval test determined the growth and survival of mosquito larvae that confirming the dual action of the candle as both a repellent and a larvicide. This research highlights the potential of herbal-based mosquito control strategies as an environmentally friendly and health-conscious alternative to chemical repellents. The neem and cinnamon- i.Modern and conventional herbal therapy for illness prevention primarily derives from herbal plants, which contain a variety of biologically active substances that are beneficial for enhancing one's quality of life. as an environmentally responsible substitute for chemical repellents. Combining a suitable wax base for maximum burning, the candle contains a blend of natural essential oils, such as lemon, lavender, and rosemary, that are known for their ability to repel insects. The number of illnesses brought on by mosquitoes is increasing day by day.Yellow fever, dengue, zika virus, filariasis, malaria, and chicken-gunya are among the illnesses that are frequently brought on by mosquitoes.

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Candle, anti-larvae, Peppermint, Cinnamon, Neem.

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??????? ??? ???? ?????? ?? ??? ??? ???? ?????? ????? ???? ?? ?? ?????? ??? ?? ??? ??? ???? ?????? ?? ????? ?? ???????, ????????, ??????????, ?????? ??? ????????? ?? ???????? ???? ??? ???? ?????? ?? ?????? ?? ???????? ???????? ?? ????? ???? ??? ?????? ??????? ??? ?? ???? ?????? ?? ?????? ?? ????? ???? ?? ??? ??? ???? ?????? ???? ???????? ?? ?????? ??????? ???? ?? ??? ????? ?????? ???? ??? ???????? ???? ?????? ???? ?????? ?? ????? ???? ???? ??? ?????? ???? ???? ???? ?? ??? ??? 17??? ?????? ????? ?????? ??? ????? ??? ??? ?????? ???? ?????? ??? ????? ??????? ?? ?????? ????????? ???????? ???? ???? ?? ?? ???? ?? ???? ???????? ??????? ?? ???????? ?? ???? ???? ?? ??? ?????? ???? ?????? ?????????? ?? ?????? ????

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?????? ???????, ???? ??????, ??????, ???? ?????? ??????, 17??? ?????? ??????

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Influencer marketing is now a revolutionary force in creating consumer-oriented brand equity across industries, particularly in the digital age. This research integrates the findings from 25 recent sources to investigate the effects of influencer marketing on brand equity dimensions such as brand awareness, brand loyalty, perceived quality, and brand associations. Findings across various industries--banking, fashion, electronics, and small- and medium-sized enterprises--indicate that social media influencers, based on their perceived authenticity, credibility, and coverage, contribute significantly to increased consumer engagement and brand perception and loyalty. The literature examined points out the strategic value of matching influencer attributes with target audience demographics and the potential of influencer messages to shape customer-brand relationships. In addition, research on Generation-Z and future markets of Pakistan, Vietnam, and Saudi Arabia highlights the increasing power of digital personas on financial product adoption and brand positioning. A common thread is the mediating effect of brand love, eWOM, and customer involvement in converting influencer initiatives into long-term brand equity. The results together show that influencer marketing, when well-planned and focused, is a driver of establishing and managing strong, resonant brands within the competitive digital market.

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Influencer Marketing, Brand Equity, Brand Awareness, Customer Engagement, Social Media, Digital Branding.

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This paper discusses the due process in international arbitration, and in this respect, we will examine the balance between the fairness of the process and arbitral discretion. The due process is founded on the principles of natural justice, and it ensures the parties' right to a fair hearing and the right to an impartial tribunal, which is part of the validity and enforceability of arbitral awards. Despite the fact that arbitration thrives on flexibility and efficiency, the procedural safeguards should not be obstructed by the discretionary powers of arbitrators. The paper will assess key institutional rules, judicial precedent and international treaties such as the New York Convention 1958 in order to demonstrate how procedural fairness has been observed and, simultaneously, arbitral autonomy has been attained. It also talks about present-day challenges like rush jobs, cultural diversity, and technology, which may interfere with due process. Lastly, the paper points out the importance of safeguarding due process in arbitral discretion in a bid to sustain faith in international arbitration as an acceptable and credible dispute resolution mechanism.

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Due Process, Arbitral Discretion, Fair Hearing, Equal Treatment, Neutrality.

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???????? ??? ?????? ??? ?????? ???? ?? ????????? ????????????? ??? ????? ??????? ?? ????? ?????? ?????? ?? ?????? ?? ?????? ???? ??? ??? ?? ???????? ???? ????, ???????, ???? ??? ??????? ?? ???? ?? ?????? ???? ??? ??? ???????? ?? ?????? ??? ????????? ???? ?? ?????? ???? ??? ????? ???? ?? 120 ?????? ???? ?? ????????????? ?? ??? ????????? ???? ?????? ???????? ???? ???? ??? ???????? ?? ?????? ???? ?????????? ????? ?? ?????? ????? ?????????? ?????? ???? ?? ????????? ????????????? ??? ???? ??? ??????? ?? ???? ?? ????? ??????? ?? ????? ?????? ?????? ?? ?????? ??? ??? ?????? ????? ???? ???? ??? ???? ?????? ???? ?? ????????? ????????????? ??? ???? ??? ??????? ?? ???? ?? ????? ??????? ?? ????? ?????? ?????? ?? ?????? ??? ?????? ????? ???? ????

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?????? ????, ????? ???????, ?????? ??????, ????????? ????, ????????? ????, ?????????? ??????

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Bharat Me Rajniti Ka Apradhikaran : Karan Aur Samadhan

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Bharat Me Rajniti Ka Apradhikaran : Karan Aur Samadhan

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In today's fast-paced world, women often face increasing safety concerns, especially in technology-driven sectors where they contribute significantly. Unfortunately, harassment and assaults are becoming more common, raising serious concerns about their security. In Pakistan's patriarchal society, crimes against women are frequently overlooked, and authorities may manipulate official records to hide these issues. A recent survey revealed that 84 percentage of women aged 25-35 experienced workplace harassment, with students and full-time employees being the most affected. This highlights the urgent need for improved safety measures. To address these concerns, Safe Walk has been introduced a smart, user-friendly device designed to enhance women's security. With a simple button press, it delivers an electric shock to deter attackers while simultaneously alerting emergency contacts via GSM. Additionally, its GPS tracking feature ensures the user's location is shared for immediate assistance during emergencies, offering enhanced protection and peace of mind.

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women safety, IoT devices, emergency alert system, GPS tracking, shock system, smart security solutions, real-time monitoring, safety technology, threat detection.

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RAJASTHAN KI JANSANKHYA OR MUKHY KHADYAN FASAL :-- UTPADAN OR PRATISHAT JANSANKHYA NIRVAHAN

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RAJASTHAN KI JANSANKHYA OR MUKHY KHADYAN FASAL :-- UTPADAN OR PRATISHAT JANSANKHYA NIRVAHAN

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The goal of the Pradhan Mantri MUDRA Yojana is to "fund the unfunded" by integrating micro-enterprises into the formal financial system. It focuses on providing affordable credit to small businesses. This scheme aims to fill credit gaps in small, micro, and tiny enterprises to encourage economic activity. The scheme enables loans to income-generating microenterprises that are non-corporate, non-farm small/microenterprises for up to INR 20 lakh. This paper aims to study the performance of the PMMY scheme for the period of nine years from its inception to 2024. This paper analyzed the performance in terms of the number of accounts opened and the amount disbursed for various schemes, castes, and genders under PMMY. In 9 years, cumulatively the PMMY program has benefitted 47.84 people with a disbursement of 28.22 lakh crore. It has been observed that more than 50% of the PMMY beneficiaries belong to the SC/ST/OBC categories, and over 35% of the total funds are distributed to them. Moreover, 68% of total account holders are women entrepreneurs, and 44% of the total funds are distributed to them. This suggests that the scheme is effectively meeting the credit requirements of the underprivileged population.

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MSME, PMMY, Mudra, Credit, Micro Enterprises and Performance.

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Mahatma Gandhi's ideas about the environment have become more important now, especially with the current environmental problems. However, the work of women who follow these ideas in their daily lives often goes unrecognized. This article looks at how women in rural and tribal areas of India are living out Gandhi's principles like nonviolence, self-rule, and trusteeship through their efforts to protect the environment. From the water defenders in Bundelkhand to the seed-saving women in Navdanya, and from forest protectors in the Himalayas to farmers in dry areas of Odisha, these women are fighting for environmental justice using peaceful means, community-based solutions, and taking care of the environment in a meaningful way. The article uses ecofeminist ideas to show how these women challenge both environmental damage and the unfair treatment women face, offering a model of environmental ethics that is based on care, simplicity, and community strength. By focusing on their real-life experiences, this article shows that Gandhi's environmental ideas are not just theories but are practiced in everyday life. It also highlights the need to see women as the key people who will help shape India's future for the environment.

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Gandhian Environmentalism, Ecofeminism, Rural Women, Grassroots Movements

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use of machine learning (ML) and deep learning (DL) models for the automated diagnosis of eye diseases has gained significant traction in recent years. Common conditions such as glaucoma, cataracts, diabetic retinopathy, myopia, and age- related macular degeneration can lead to severe visual impairment if not detected early. Early diagnosis is critical for effective treatment and preventing long-term damage. Therefore, thorough analysis and early identification of symptoms are highly recommended. This paper presents a comprehensive review of ML and DL models developed for detecting and classifying eye diseases, highlighting their strengths, limitations, and associated challenges. Recognizing these diseases typically requires extensive medical expertise, making automated systems particularly valuable. The objective of this study is to provide a foundation for identifying the most robust and adaptable solutions in this domain. Specifically, the research focuses on deep learning architectures such as VGG16, ResNet, and Inception. The general workflow involves collecting publicly available eye disease datasets, applying preprocessing techniques to ensure experimental consistency, and training models to recognize disease patterns rather than overfitting to specific data segments. With the success of DL in image classification and object recognition, the field is shifting away from traditional handcrafted feature extraction methods. A promising approach involves leveraging pre-trained deep convolutional neural networks (CNNs) for feature representation, followed by classifiers such as Support Vector Machines (SVMs) or Multilayer Perceptrons (MLPs). Studies have shown that CNN-based methods, trained on large-scale annotated datasets, can effectively perform eye disease classification even when applied to smaller, domain-specific data

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Eye diseases, Machine learning, deep learning, Convolutional Neural Networks, VGG16, ResNet.

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: A football match predictor is a website used to predict the outcome of the football matches. It gives the results based on the past match history. It uses the past match data to predict the future matches. It uses the data like player performance, team combination etc. The homepage of the football match predictor is the main and important thing or component of our football match predictor. We made it important and gave all the important options in the homepage because the user first see the home page. It has the many options like live sores, player performance, historical data and other details of football matches. The data of the football matches or other large and important data is represented using the graphs and also other representation like percentages

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Use of Dsa, Technologies in machine learning, Rule-Based Heuristics, System design, Logistic Regression, Random Forest, Poisson Regression, K-Nearest Neighbors (KNN), How the Predictor Works, Checking Accuracy and Improving, Training the Model

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The increasing complexity and scale of enterprise cloud deployments necessitate secure, scalable, and compliant governance models. As organizations adopt multi-account strategies on Amazon Web Services (AWS), the need for automated policy enforcement, continuous compliance, and real-time visibility becomes paramount. This review synthesizes current practices and academic research related to AWS Control Tower, Service Control Policies (SCPs), and guardrails, and introduces a novel theoretical model for adaptive governance across AWS Organizations. Drawing on recent case studies and technological advancements, the proposed model integrates policy-as-code frameworks, security data lakes, and AI-enhanced risk analytics to outperform traditional architectures in compliance accuracy, scalability, and response time. A comparative analysis demonstrates the superiority of this adaptive, data-integrated approach over baseline models. The paper concludes with recommendations for practitioners, policymakers, and researchers, offering a roadmap for the development of secure and reliable prediction systems for cloud-native infrastructures. This work contributes to both theoretical discourse and practical implementation, supporting the evolution of cloud security architecture in regulated and dynamic environments.

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AWS Control Tower, Guardrails, Multi-Account Architecture, Cloud Security, Service Control Policies (SCPs), Policy-as-Code, Compliance Automation, Zero Trust, Adaptive Governance, Cloud Risk Management, Continuous Compliance, Cloud Architecture Review

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The dynamic nature of modern sales environments demands automation solutions that are scalable, intelligent, and resilient. This review explores the integration of orchestrator patterns in distributed systems to automate sales planning processes, including forecasting, lead management, and quota allocation. Orchestrators such as Apache Airflow, Camunda, and Kubernetes-based tools facilitate seamless workflow execution, improving agility and performance. Through analysis of architectural models, experimental benchmarks, and AI-enabled orchestration, the review underscores the advantages of orchestrated automation over manual systems. Key challenges such as integration complexity, fault tolerance, and standardization are also discussed. This work contributes a comprehensive synthesis of the current landscape and offers actionable insights for future innovation in distributed sales automation.

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Sales automation, distributed systems, orchestrator patterns, Apache Airflow, Camunda, Kubernetes, CRM integration, business process management, workflow orchestration, AI-driven forecasting.

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Agile Project Management (APM) has evolved as a cornerstone methodology for navigating the intricacies of complex IT environments, particularly those shaped by rapid technological change, regulatory constraints, and distributed team structures. This review synthesizes over a decade of research, case studies, and emerging frameworks to understand how agile methodologies enhance project delivery, stakeholder satisfaction, and organizational adaptability when supported by appropriate scaling models and enabling technologies. The findings highlight key challenges such as legacy system integration, inter-team coordination, and cultural resistance while exploring innovative approaches like AI-assisted Scrum and DevOps synergies. The review concludes with a roadmap for future research to address current limitations and to leverage technological advancements for more intelligent and scalable agile ecosystems.

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Agile Project Management, Complex IT Environments, Scaling Frameworks, DevOps, AI-Augmented Scrum, Organizational Agility, Continuous Delivery, Remote Collaboration, Hybrid Agile Models

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As LTE continues to underpin global mobile communication infrastructure, the demand for robust, deterministic, and low-latency real-time software frameworks for LTE base stations (eNodeBs) is higher than ever. This review synthesizes over a decade of research on the architecture, implementation, and performance of embedded real-time software systems that enable LTE base station functionality. The analysis spans real-time operating systems (RTOS), hardware-software co-design, multi-core scheduling, and open-source frameworks. Key findings include the superiority of modular and layered architectures, the importance of deterministic task scheduling, and the growing role of FPGA-based acceleration. The paper concludes with a forward-looking perspective on how these frameworks will evolve in response to 5G, open RAN, and AI-driven radio access network (RAN) management. This review serves as a guide for researchers, engineers, and system designers aiming to optimize next-generation embedded communication systems.

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LTE Base Station; Real-Time Embedded Systems; RTOS; eNodeB; FPGA Acceleration; Multi-Core Scheduling; Hardware-Software Co-Design; MAC Scheduler; Turbo Decoding; 5G Evolution; Open RAN.

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Pain is a localized or generalized unpleasant bodily sensation or complex of sensations that causes mild to severe physical discomfort and emotional distress and typically results from bodily disorder such as injury or disease. "The aim of the research is to assess the effectiveness of McKenzie back exercise among people with back pain at selected rural community at Gorakhpur." The research approach was quantitative and research design was quasi-experimental non randomized pre-test post-test design total 60 people were selected who met with inclusion criteria using purposive sampling technique and level of pain was assessed using Wong-Baker FACES Pain Rating Scale. The study revealed that for experimental group the calculated 't" value is 12.10 and for control group the calculated 't" value is 3.08. At 0.05 level of significance the table "t" value is 2.045. Since the calculated "t" value is more than table "t" value, hence the McKenzie back exercise was effective in reducing back pain. It was concluded that the significant association was found between post-test pain score with their selected demographic variables such as age, gender, education, occupation, religion, type of family, duration of pain, previous knowledge, past illness and consumption of analgesics medication. So, we concluded that the McKenzie back exercise is effective to reduce the back pain.

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Assess, Effectiveness, McKenzie back exercise, People, Back Pain, Rural community

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