Volume 12 | Issue 11

 Abstract

Sustainable water management in horticulture is essential for enhancing crop production while preserving vital water resources in the face of increasing global demand for food and the challenges posed by climate change. This study explores various sustainable water management techniques, including precision irrigation, rainwater harvesting, and soil moisture conservation practices, and their modern implications for horticultural crop production. Through an analysis of innovative technologies and practices, the research highlights how these methods improve water efficiency, increase crop yields, and enhance the quality of produce. The findings demonstrate that sustainable water management not only optimizes resource use but also contributes to environmental sustainability and economic viability for farmers. Furthermore, the study emphasizes the importance of community engagement and education in implementing these practices effectively. Ultimately, this research underscores the critical role of sustainable water management in fostering resilient agricultural systems capable of meeting the challenges of food security and environmental stewardship in the 21st century.

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Sustainable water management, innovative technologies, economic viability.

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In this work, poly (methyl methacrylate) (PMMA) thin films with doped V?O? have been synthesized using solvent-casting method with various concentrations of dopant (V?O?; 0.0001, 0.0005, 0.001, 0.005, 0.01, 0.05 and 0.1 wt%). The structure of the obtained films were characterized using Fourier transform infra-red spectroscopy (FTIR) and UV-Vis (ultra violet- visible spectroscopy). In FTIR studies, after doping, one extra peak at 1036 cm?? shows terminal oxygen bonds (V=O) are vibrating in stretching manner. the direct band gap energy of the composites decreases in small amount at concentration (0.001 wt% ) of V?O? increases.

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V?O? doped PMMA ;FTIR; UV-Vis; Band Gap

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The study addresses challenges in designing rotary joints for robotic arms used in rehabilitation devices and industrial settings. These joints need to be compact, lightweight, and handle significant loads. Traditional design methods are time-consuming and resource-intensive. The authors propose a new approach that combines several techniques to optimize the joint's structure. This includes methods for exploring different shapes (topology method), analysing variations (analysis of variance), simulating stress and strain (finite element method), using artificial intelligence to learn from data (adaptive neuro-fuzzy inference system), and finding the best design based on performance (water cycle moth-flame optimization algorithm). Using this approach, the researchers designed a new rotary joint. Tests showed it could withstand a torque of 357.46 Newton-millimeters and stress up to 489.98 Megapascals. The close match between predicted performance and test results (less than 1% difference) demonstrates the effectiveness of this new design optimization method.

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Rotary joint; Topology-size optimization; Finite element method; Neural-fuzzy; Water cycle moth-flame optimization algorithm; Robotics; Automation manufacturing.

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The project explores the broad topic of deep learning-based automatic skin lesion diagnosis, combining knowledge from an extensive analysis of relevant scientific publications. Presenting a sophisticated grasp of techniques, tools, and developments in skin lesion diagnostics is the main goal. A thorough review of the literature finds important trends, problems, and innovations. Convolutional neural networks (CNNs), generative adversarial networks (GANs), transfer learning, and ensemble methods are only a few of the varied approaches included in the reviewed research publications. Novel approaches to the segmentation, classification, and identification of skin lesions are investigated, tackling issues such unbalanced datasets, inconsistent contrast, and blurred borders.

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Lung cancer recognition, CNN, Deep Learning, Machine learning, medical imaging.

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Folklores and folk songs are the corner stone in the construction of history pertaining to the Ao Nagas. Every practice that allots identity to an Ao Naga emanated from such oral narrations, songs and adages and these elements encapsulated in general, the culture of the Ao Nagas. Thus representing humans through the nature and character of an animal is a common aspect or rather a custom in the Ao Naga society. This paper aims at exploring such folklores and sayings in studying the gendering process and the representation of male and female roles through zoomorphic and metaphorical expressions.

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Ao Naga women, folklores, folk songs, culture, representation.

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The "sex" and "gender" debates always flare up whenever the topic of gender is broached. Gender is a cultural construction, in contrast to the biological category of sex. Based on these myths, society places men and women in different positions. The female is often the focal point of any discussion on gender. Culture and society both have biases against women. Gender is a feminist concept, but sexism against males has been under-analyzed, making this an exclusively female concern. Discourse analysis of gender as an interdisciplinary field of research. Sociology, linguistics, communication, anthropology, psychology, and literature are all part of this umbrella term. Discourse really serves as a lens through which gender inequality may be examined.Social scientists investigate society and social behavior using a variety of conceptual words as analytical categories. Concepts help social scientists create useful categories for studying social behavior scientifically. Several such principles serve as a basis for the study of gender dynamics and behavior. For instance, Ill Matthews, in her 1984 exploration of how femininity is constructed, pioneered the idea of gender. Mathews argues that the idea of gender accounts for the universal practice of classifying people into gendered categories. Therefore, the term/concept of gender is a methodical means of studying the social patterns between men and women. The study of male domination in society is aided by the idea of patriarchy. Gender is a useful lens through which to examine the ways in which men and women differ, whether those differences have their roots in biology or were imposed on them by culture. Some species of trout are more stereotypically male or female due to the conceptions of masculinity and femininity. We will be covering some groundwork here. Sex, gender, patriarchy, and the definitions of male and female are all part of these ideas.

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Masculinity , homophobia ,Gender& Discourse

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Leakage current, nanoscale CMOS technology, phased-locked loop (PLL). Architecture design, high-performance counter design, parallel counter design, pipeline counter design

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This review paper integrates current research on entrepreneurial attitudes and intentions among students, focusing on various theoretical models and empirical studies. The study's main objective is to explore variance theoretical models and empirical studies to understand the factors influencing entrepreneurship. It examines the (Jain, n.d.) Model of Attitude, highlighting its affective, behavioral, and cognitive components in shaping attitudes towards entrepreneurship. Additionally, studies by (Van Wyk & Boshoff, 2004) ,Chen & Lai (2010), Velusamy (n.d.), and others explore factors influencing entrepreneurial attitudes across different cultural and educational contexts, such as risk-taking propensity, family support, and educational experiences. Specific attention is given to (Soomro et al., 2021), whose study validates Thailand's Entrepreneurial Attitude Orientation (EAO) model. They find that achievement, personal control, and innovation significantly impact entrepreneurial attitudes among Thai university students, while self-esteem shows no significant effect. This underscores the role of educational interventions in fostering a favourable entrepreneurial mindset crucial for economic development. This review integrates current research on entrepreneurial attitudes and intentions among students to understand these factors better, emphasizing various theoretical models and empirical studies.

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Entrepreneurship, Attitude, Intention

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Creative Commons Attribution 4.0 and The Open Definition

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Groundwater, Hydrochemistry, Fluorosis, Fluoride

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The study examines the impact of the Insolvency and Bankruptcy Code( IBC) onNon-Performing Asset( NPA) rates among Indian banks. It set up that while the IBC originally increased NPAs, it bettered recovery rates and resolution processes for worried means. Still, advanced NPAs reduce net income and challenge banks' lending capabilities, egging changes in credit threat assessment strategies. The study recommends banks ameliorate credit threat assessment fabrics, influence technology for data analytics, and foster stakeholder collaboration for effective asset operation. Index Terms- Bankruptcy and Bankruptcy Code( IBC),Non-Performing means( NPA), Indian banks, Recovery rates, Resolution processes, Worried means, Net income, Lending capabilities.

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Insolvency and Bankruptcy Code (IBC),Non-Performing Assets (NPA),Indian banks,Recovery rates,Resolution processes,Distressed assets,Net income,Lending capabilities ________________________________________________

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Creative Commons Attribution 4.0 and The Open Definition

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Hkkjrh; jktuhfr] vkjf{kr oxZ] efgyk izfrfuf/k] jktufrd vf/kdkj] l'kfDrdj.kA

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In essence, "Mental Health Check using Face Recognition and MCQ's" is a system combining advanced facial recognition techniques coupled with deep learning to class people's mental states. These employ TensorFlow and Keras to detect emotions; catch and analyze facial expressions occurring when users answer their MCQs. By combining that information with users' responses, it leads to a more holistic examination of mental health. This paper presents a tool which is designed for various uses such as education and healthcare and aims at early identification of mental disorders. Keeping accuracy, real-time analytics, and secured data storage in mind, the proposed system is the most vital leap in individualized assessment of mental well-being.

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Artificial Intelligence, Machine Learning, Deep Learning, Convolution Neural Networks, Mental Health.

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Soil pH, electrical conductivity (EC), natural carbon (OC), accessible nitrogen (N), phosphorus (P), potassium (K), and micronutrients (Fe, Mn, Cu, and Zn) all play a role in a physicochemical investigation. Five representative samples' alkalinity content, pH, electrical conductivity, organic carbon, sodium, and potassium were investigated. At depths ranging from 0 to 20 cm, five soil samples were collected and analyzed for neutral to slightly alkaline soils. The value of the soil ranged from 6.75 to 7.68, with conductivity ranging from 0.201 to 0.288 dSm1, natural carbon ranging from 0.57 to 1.70 percent, the range of iron (Fe) ranging from 8.062 to 16.700 percent, and potassium ranging from 28.49 to 75.87 percent. Among the enhancements, available Nitrogen was seen as 150.52 to 250.88 kg/ha, Phosphorous was going from 11.64 to 22.84 kg/ha. With this information, the farmers will be able to figure out how much fertilizer to put in the soil to produce.

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Quality of Soil, EC, PH, OC, Rasmada

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Creative Commons Attribution 4.0 and The Open Definition

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This project develops a generative AI (GenAI) system to automate and enhance customer feedback management. By integrating natural language generation and sentiment analysis, the system categorizes feedback, routes concerns to relevant departments, and provides personalized responses in real time. It handles mixed sentiments and multi-topic feedback more effectively than traditional methods, reducing customer service workload and improving response times. The system flags complex issues requiring human intervention, ensuring high-quality responses. Future improvements aim to enhance the handling of more complex feedback and further personalize responses.

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Generative AI, customer feedback, sentiment analysis, automation, personalized responses.

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Creative Commons Attribution 4.0 and The Open Definition

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The intricate and varied procedures of the construction sector have hindered the adoption of sector 4.0 technology in project management. This study methodically investigates the ways in which digital construction management capabilities (DCM-Cs) can be enhanced by key enabler technologies. In order to facilitate the integration of contemporary digital solutions in construction management, the research suggests a structured, phase-wise implementation plan based on a 6Ws-based systematic review design. Nine enabler technologies and nine matching capabilities are combined to create a framework, which yields nine propositions that help project teams improve their digital skills. This study recommends flexible sub-frameworks inside the primary implementation framework to better address a range of needs, acknowledging that both academics and practitioners frequently create DCM frameworks adapted to unique aims. In the end, this study advances the adoption of Industry 4.0 in construction project management by offering practical advice on how to maximize project performance and efficiency through digital transformation.

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Industry 4.0, Construction Project Management, Digital Construction Management Capabilities (DCM-Cs), Enabler Technologies, Phase-Wise Implementation, Systematic Review, Digital Transformation, Project Efficiency

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This study explores the labeling of the Rooted Product of Complete Graph Pn O Km where P-{n} times and K-{m} times under the condition of Smarandachely Product Cordial Labeling. In the context of graph labeling, Smarandachely Product Cordial Labeling is defined as a function f: E (G) -> {0, 1} that assigns labels to the edges of graph G with the induced labeling f(u)f(v) on each edge uv?E(G). The labeling must satisfy the constraints: | vf (0)-vf (1)| >= 2 and |ef (0) - ef (1)|>=2, where vf (0) and vf (1) represent the number of vertices with labels 0 and 1, respectively, and ef (0) and ef (1) denote the number of edges labeled 0 and 1, respectively. The paper aims to provide a detailed examination of this labeling scheme for the specified graph product, assessing its feasibility and implications for graph theory.

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Cordial labeling, Smarandachely product cordial labeling, Rooted Product of complete Graph.

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Creative Commons Attribution 4.0 and The Open Definition

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The research outlines the shift from a traditionally male-dominated governance structure to a modern, inclusive framework underpinned by legislative mandates, notably in the 2013 Act, which introduced requirements for appointing women directors in certain classes of companies. The paper highlights the rationale for gender diversity in boardrooms, such as enhanced decision-making, increased transparency, and improved corporate governance, while also discussing challenges like tokenism and social bias.

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Creative Commons Attribution 4.0 and The Open Definition

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The Present work was to develop a simple, fast, accurate, precise, reproducible, Reverse Phase High Performance Liquid Chromatographic Method for estimation of Remdesivir in pure drug form. Chromatographic separation was done using Inertsil ODS column having dimension of (150*4.6, 5mm), with mobile phase consisting of 0.1% Formic acid in water: Methanol (30:70), flow rate was adjusted to 1.0ml/min and detection wavelength at 254nm. The retention time of Remdesivir was found to be 3.257. The proposed method has been validated for accuracy, precision, linearity, robustness and range were within the acceptance limit according to ICH guidelines. Linearity for Remdisivir was found in range of 50-150 mcg, mean recovery for Remdisivir was found to be 99.77%. The method was found to be robust even by change in the mobile phase and in less flow condition. The developed method can be successfully employed for the routine analysis of Remdesivir in API and Pharmaceutical dosage forms

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Remdesivir, RP-HPLC, Method Method Develoment, Validation

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Creative Commons Attribution 4.0 and The Open Definition

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?? ???????? ???????? ? ????? ??????????? ?????????????????? ?????????? ?????? ??????? ????? ??? ?????? ?????? ????????? ??? ???. ????? ??? ?? ??????? ?????????? ?????? ?????????????? ???????????? ???, ????????? ???????? ?????? ??? ? ???? ??????????? ???? ?????. ???????? ??????????? ?? ???? ?????? ????, ?????? ???? ?????????? ????????? ???, ?? ????? ??????????? ?? ??????? ???????. ?????? ???????????? ???????? ?????? ????????? ????????? ?????? ???? ???, ?? ???????? ???????? ????????? ??????????????? ???? ????? ?????. ?? ???? ??????? ????????, ??? ?????? ?????? ?????????? ?????????????? ?????? ?????????? ???.

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???????? ? ????? ??????????? ?????????????????? ?????????? ?????? ??????? ????? ??? ??????? ????????? ????????? ??????

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This study has been undertaken to develop hard candy lozenge formulation of Tinidazole which is an anti-protozoal, Anti- bacterial agent, with sugar substitutes for effective management of trichomonasis, giardiasis and amoebiasis, this formulations helps to overcome the disadvantage of Tinidazole such as poor flow properties, bitter taste, abdominal pain etc. These Sugar free lozenges do not stimulate insulin and helps in reducing the risk factor for diabetics and also promote tooth cavities for young children. The method used is heating and congealing where isomalt is used as a low caloric sugar substitute. Optimized formulation F4 with 0.01% plasticizer concentration was evaluated for various quality control parameters. Stability studies were conducted as per ICH guidelines. Hard candy lozenges were better formulations than marketed tablets with 98% release within 30 minutes. Low plasticizer concentration resulted in harder lozenges with minimum amount of processing problems.

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lozenges, Hard candies, Isomalt, Heating and congealing

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Creative Commons Attribution 4.0 and The Open Definition