Volume 13 | Issue 5 |

 Abstract

This paper aims at finding the Achievement in Mathematics of secondary school Students. A simple random sampling technique was followed to select 1000 IX class students from Guntur district of Andhra Pradesh. The scores of the students in final examinations of Class IX have been used as mathematics achievement scores using. Mean, SD and 't' values were calculated. The study revealed that there is no significant difference in Achievement in Mathematics of secondary school Students w.r.t the variables - Locality and Type of School

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 Keywords

Mathematics, Achievement, Secondary school and Students

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Market research has experienced exponential changes in last decade, especially influenced by substantial dependence on secondary research, expectations and needs of customers and technological advancements. During Covid-19 pandemics, these trends were accelerated, pattern shifted from traditional primary data collection methods to secondary data research and insights. The literature review critically synthesizes findings from over 50 recent research articles (published from 2021 onwards), focusing on the applications of secondary market research across global and Indian contexts. Emerging topics include the role of sustainability-focused consumer behavior, digital technologies, cross-cultural marketing dynamics, sector-specific application and artificial intelligence. The literature review also identifies research gaps, discusses challenges like data authenticity & privacy and provides future research directions. By connecting these insights, the literature review provides an understanding on the changing market research landscape.

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Market Research, Primary Research, Secondary Research, Consulting, Business Consulting and Marketing Strategies

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Artificial Intelligence (AI) is rapidly growing into a driving force within mechanical design, providing capabilities much superior to those offered by traditional design engineering practices. Ranging from the refinement of structural geometry & failure mode prediction to facilitate real-time data-driven design iteration, AI tools such as--machine learning (ML), networks have also been used to recognize topology patterns and control component geometry generation beyond traditional engineering intuition [5].One of the basic uses of AI in mechanical design is its ability to leverage historical information. Through the exploitation of historical design repositories, AI algorithms can extract geometric dimensioning and tolerancing (GD&T) schemes, surface texture data, & manufacturing tolerances on functionally equivalent components. This reuse of data enhances standardization, minimizes design redundancy, and encourages lean practices [6][7]. Probabilistic models learned from lifecycle performance data enable the forecasting of product failures and maintenance schedules, informing decisions on material choice, safety margins, and design complexity [9].Surrogate modeling methodologies like Gaussian process regression, radial basis functions, and polynomial chaos expansion enable real-time approximation of difficult, nonlinear simulations on thousands of design options [10][11]. These approximations significantly speed up optimization processes and minimize dependency on computationally expensive simulations. The incorporation of AI into computer-aided design (CAD) and simulation platforms is enabling a new generation of design automation. Internal AI agents can impose constraint satisfaction, suggest viable dimensions under cost or weight constraints, and dynamically change design settings based on system-level simulation [12]. Incorpoting learning algorithms can be programmed to continuously improve these scenes through feedback loops, minimizing human interference while maximizing design optimality [13]. Artificially intelligent interfaces now enable engineers to describe design objectives in conversational terms (e.g., "optimize the part for tensional stiffness with minimum weight"), with the systems generating and iterating on appropriate geometries automatically [14]. This conversational model style lowers the entry point for non-experts and accelerates ideation [15].AI provides effective exploration of high-dimensional design spaces and real-time responsiveness to shifting performance goals [16][17][18]. Such sophisticated tools are not only facilitating predictive and generative design but also aiding continuous monitoring and intelligent feedback on digital twins [19][20]..

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Artificial Intelligence, Mechanical Design, Machine learning & Natural Language Processing.

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This study explores the Japanese philosophical concept of ikigai the reason for being through the lens of Kavita Kane's novel Tara's Truce. By examining the protagonist Tara's evolving sense of purpose, the study identifies how her passion, mission, vocation and profession intersect to shape her identity and resilience across different phases of her life. Drawing upon psychological interpretations of ikigai, particularly as theorised by Meiko Kamiya and Katsuya Inoue, the article analyses Tara's emotional intelligence, moral courage and political agency within a patriarchal and hierarchical society. It highlights how Tara redefines her purpose through personal loss, social commitment and ethical resistance, thereby offering a dynamic model of ikigai that is culturally grounded yet universally resonant. The narrative not only underscores Tara's role as a healer, queen and mediator but also reflects on the broader human quest for meaning amidst suffering and transformation. Ultimately, this study argues that Tara's Truce presents ikigai as a fluid and resilient force that allows individuals, especially women, to assert agency and forge identity in both personal and public realms.

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Ikigai, cultural identity, purpose, agency and emotional resilience

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Polyherbal anti dandruff hair mask helps you smoothen the irritating, oily and flaky scalp by controlling dandruff thus giving you itch free healthy scalp and nourished hairs. The dandruff is a major problem of scalp, which cannot be fully cured with the aid of chemical. This chemical causes split ends and weakens the hair. Hairs are the delicate part of the body. The herbal mask's formulation was assessed using several criteria including stability studies, pH, and antimicrobial activity. The final product's evaluation parameters were discovered to be within allowable bounds. Therefore, it can be said that using a prepared hair mask helps to prevent dandruff and promote healthy hair development.

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Polyherbal hair mask, Hair, Herbal Ingredients.

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Indian Mythology is a great treasure house of knowledge and wisdom. It provides numberless morals, ethics and values by which society is benefitted in multiple ways. Ramayana and Mahabharata are the two main epics of India, They have been serving indian society since the time immemorial. Kavita Kane's Karna's Wife : The Outcast's Queen provides a new outlook on Mahabharata from the perspective of Uruvi, a fictional princess who decides to marry Karna, a socially marginalized warrior, The present paper attempts to reflect on the theme of decision making and its consequences as depicted through the character of Uruvi, Kunti, Karna, Draupadi, Gandhari, Vrushali and Bhanumati. The study explores how decisions taken by these characters and their consequences not only shape their destinies but also challenge patriarchal structures and re-shape the role of women within mythological narratives.

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Mythology, Mahabharata, Decision, Consequence, Social constraint, Marriage

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The nurse-patient relationship is a cornerstone of high-quality, compassionate healthcare. It is not only central to the delivery of clinical services but also plays a pivotal role in influencing patient outcomes, emotional well-being, treatment adherence, and overall satisfaction with care. Recognizing this, Apollo Hospitals, one of India's foremost healthcare providers, has developed a comprehensive, nurse-led service excellence framework that redefines the traditional nursing model and places the human experience at the center of clinical care. This strategic approach is operationalized through a range of innovative and humanistic programs designed to strengthen empathy, communication, autonomy, and trust in everyday nursing practice. Flagship initiatives such as "Tender Loving Care" (TLC) and "Voice of Customer" (VOC) focus on enhancing the emotional intelligence and interpersonal skills of nursing staff while systematically gathering patient feedback to guide service improvement. The "Final Check" initiative empowers patients to participate actively in safety protocols, fostering shared accountability and reducing preventable errors. Beyond procedural improvements, Apollo integrates technological innovations--such as real-time patient monitoring and AI-enabled administrative tools--to support nurses in minimizing time spent on documentation and maximizing time spent in meaningful patient interaction. Simultaneously, initiatives like "Let's Pray," "Never Say No," and "ASK Before the TASK" ensure that nursing practice upholds spiritual sensitivity, empathetic communication, and patient autonomy, reflecting a holistic approach to healing. Importantly, Apollo's adoption of the Human Sigma framework aligns employee engagement with patient engagement, recognizing and rewarding relational excellence among nursing staff. This integrated model has fostered a care environment that is not only clinically effective but emotionally resonant, where trust and respect are deeply embedded into the care culture. In sum, Apollo Hospitals presents a transformative case study in how nurse-led service excellence initiatives, when strategically designed and compassionately executed, can deepen the nurse-patient bond, enhance care outcomes, and humanize healthcare delivery at scale. This model holds valuable lessons for healthcare systems worldwide seeking to restore empathy, dignity, and person-centeredness to the forefront of medical care.

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Nurse-patient relationship, Service excellence, Empathetic communication, Patient-centered care, Empowerment of nurses, Holistic healing, Healthcare innovation, Spiritual support

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In today's digital ecosystem, the exponential growth in network traffic has introduced new challenges in maintaining cyber security. The project titled "Network Traffic Analysis and Anomaly Detection Using Machine Learning" presents an intelligent and adaptive solution to detect anomalous and malicious activities within network traffic using advanced machine learning techniques. Traditional intrusion detection systems often rely on static rules or predefined signatures, making them ineffective against evolving cyber threats such as zero-day attacks and encrypted intrusions. This project overcomes those limitations by employing a data-driven approach that analyzes large-scale traffic patterns in real time.

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: Network Traffic Analysis, Anomaly Detection, Machine Learning, Intrusion Detection System, Principal Component Analysis, Random Forest, Cyber security, Real-Time Detection, Supervised Learning, Network Security

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This paper explores the relationships between place, identity, and healing in Days at the Morisaki Bookshop by Satoshi Yagisawa and My Name is Cinnamon by Vikas Prakash Joshi. Despite their different cultures, the protagonists of both books are introverted and use peaceful spatial exploration to reestablish their identities. Takako finds comfort in a used bookstore, while Roshan investigates the background of his adoption and the meaning of his namesake spice. This study illustrates how these texts depict self-discovery as a slow process entwined with place, where physical environments and selected familial ties work together to promote healing, using frameworks from postcolonial theory, human geography, and narrative medicine. In contrast to the frequently sensationalist inclinations of contemporary literature, the novels emphasize gentleness as an aesthetic and ethical approach rather than dramatic trauma. They both emphasize isolation, sensory detail, and gradual development, which reveals a universal truth: healing begins in the tiny, hallowed places we make for ourselves.

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Place, Identity, Healing, Transformation, Gentleness, Self-discovery

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Nanoscale metals are mainly synthesized by chemical methods that have unwanted & noxious effects such as environmental pollution, more energy consumption, and health problems. By addressing this challenges, green synthesis in which plant extracts are used instead of industrial chemical agents to reduce metal ions, has been developed. The research focus on an eco-friendly method to synthesis copper nanoparticles using neem (Azadirachta indica) leaf extract, which naturally work as a reducing and stabilizing the particles. It also involves extracting calcium carbonate (CaCO?) from discarded eggshells and combining it with the nanoparticles to produce a CuNP-CaCO? nanocomposite. This sustainable process will avoids harmful chemicals and makes use of biodegradable waste. The final nanocomposite will be stable, biocompatible, and shows promise for use in drug delivery and other medical applications.

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 Keywords

Green synthesis, nanoparticles, eco-friendly medicine, drug delivery.

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