Volume 12 | Issue 7 |

 Abstract

Abstract Soil is significant component for all times on earth as both flora and fauna depends directly on soil. But with increasing artificial practices the environment is getting polluted excessively which is affects the soil also. During this paper the soil samples are investigated for its physio-chemical parameters analysis. This study helps in determining the supply of macro, micro and secondary nutrients by which the quality of soil and its impact on flora and fauna are often observed, in present study the Physio- chemical analysis of soil is preferred for which twenty samples (representative samples) were collected from Kurai Tehsil and Pench Tiger Reserve nearby areas, analyzed for its pH, EC, OC, Nitrogen, Phosphorous, Potassium, Sulphur, Zinc, iron, Manganese, copper, Boron and Sulphur.

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 Keywords

Soil, pH, minerals, OC, EC, zinc, iron, minerals, Micro - nutrients, Macro-nutrients, Secondary- nutrient, Pench national park

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Creative Commons Attribution 4.0 and The Open Definition

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Phishing is defined as fraudulent processes that aim to obtain some information, especially username, password, or any financial details, for access and malicious reasons. Phishing fraud could be one of the most common practices in the field of cybercrime to be amongst the one today. There are variety of domains where phishing attack can take place such as online payment sector, webmail, financial institution, file hosting or cloud storage and so on. The webmail and online payment sector was more targeted by phishing than in any other industry sector. There are several anti-phishing techniques that include blacklist, heuristic, visual similarity and machine learning. From this, blacklist approach is commonly using/used as it is very easy to use and implement, but it is not able to detect new phishing attacks. Machine Learning is an effective technique used to detect phishing. It also removes the drawback of the existing approach. Our research includes a comprehensive literature review and proposes a new approach to detect phishing websites using feature extraction and machine learning algorithms.

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 Keywords

Phishing, Phishing Attack.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Comparative study of physical fitness level training methods and performance improvement of university male volleyball players of Madhya Pradesh

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Comparative study of physical fitness level training methods and performance improvement of university male volleyball players of Madhya Pradesh

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Creative Commons Attribution 4.0 and The Open Definition

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Artificial intelligence is becoming a popular concept in today's world. The Integration of artificial intelligence with the digital economy has brought a tremendous change in the functioning of businesses. This research examines the profound impact of AI on the efficiency and competitiveness of business. Through comprehensive analysis of existing literature and case studies, the study delves into the mechanisms through which AI enhances the capabilities and positions the companies towards success and prosperity. AI has empowered businesses by offering new business opportunities, personalized customer interactions, adequate utilization of resources, security against potential challenges, and risk management. These amenities are not only accelerating the performance of the business but also bringing innovation among the entrepreneurs. Furthermore, AI is helping companies in facing the competition by predicting the trends in the dynamic market that drives strategic decision-making. Overall, this research contributes to a deeper understanding of how the integration of AI improves the efficiency and competitiveness of businesses in the digital economy and highlights the role of AI in the digital economy.

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 Keywords

Keywords: artificial intelligence (AI), tremendous, business opportunities, risk management, potential challenges, strategic decision making

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is the leading originator of herbal therapeutic plants. It is said to be the "Botanical Garden of the World". Aegle Marmelos is endemic to India. It is a religious plant used in the prayer of lord shiva. Fresh leaves are used by people who worship. Aegle Marmelos, a monotypic genus in the Rutaceae family, found in Asian countries like Bangladesh, Indonesia, China, etc., contains medicinal and nutraceutical characteristics that have been utilized for treating many ailments in conventional medicine. The plant's medicinal and pharmacological characteristics have been thoroughly explored using modern scientific techniques. Bioactive substances have been identified from various portions of the plant. Aegle Marmelos is also called the Wooden apple plant, Bilwa, and Bael. The plant has multiple biologically active and medicinally beneficial bioactive components in its flowers, wood, leaves, fruits, bark, and roots. Aegle Marmelos carry numerous phytochemicals like as alkaloids (aeglin, aegelenine), tannins(skimmianine), coumarins (marmelosin, marmesin, imperatorin), seed oils, carotenoids, and others. The phytochemicals found in this plant exhibit both biological and pharmacological effects against long-term illness including cardiovascular disease, immunosuppressive disease, cancer, and gastrointestinal disorders. The pharmacological characteristics of this plant extract are diverse, including antifertility, antioxidant, anxiolytic, antidepressant, antidiabetic, antihistaminic, analgesic, anticonvulsant, anti-inflammatory, antidiarrheal, antimicrobial antihyperglycemic, antidiarrheal, antimicrobial, and immunomodulatory activities. This review explores the conventional applications, phytoconstituents, and intrinsic properties of Aegle Marmelos, highlighting its potential as a medicinal plant for study and drug development.

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 Keywords

Botanical garden, Aegle Marmelos, Phytochemistry, Traditional uses, Pharmacological activities

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A second order differential equation is a particular kind of differential equation in which the function's derivative is of order 2, and no further derivatives of the function are included in the equation. It contains terms that denote the function's second order derivative, such as y'', d2y/dx2, y''(x), etc. A second order differential equation is typically expressed as follows: y'' + p(x)y' + q(x)y = f(x), where p(x), q(x), and f(x) are functions of x. Using the auxiliary equation and other techniques, including the method of unknown coefficients and parameter modification, we may solve this differential equation. If the functions p(x) and q(x) are constants, the differential equation y'' + p(x)y' + q(x)y = 0 is referred to as a second-order differential equation with constant coefficients; if they are not, it is referred to as a second-order differential equation with variable coefficients. We shall examine these differential equations in-depth as well as their various varieties in this post. Along with learning alternative techniques, we will also learn how to determine the auxiliary equation and solve examples of second order differential equations with constant coefficients.

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 Keywords

Order, method, differential equations, coefficients, variables.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper provides a comprehensive review of recent advancements and innovations in unmanned aerial vehicles (UAVs), focusing on technological developments in aerospace design, control systems, and optimization techniques. It explores various classifications of drones based on size, weight, range, and endurance, highlighting the latest trends in quadcopter control systems and flight dynamics. The review delves into emergency control, structural reconfigurability, and miscellaneous UAV designs that push the boundaries of current technology. Particular emphasis is placed on drone delivery applications, examining the integration of generative design methodologies and techniques. Through an extensive literature survey, this paper aims to present a holistic view of the multifaceted developments in UAV technology. It offers insights into the future trajectory of drone innovations and their diverse applications.

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 Keywords

UAV Tech Innovations, Advanced Aerospace Design, Smart Quadcopter Systems, Next-Gen Drone Deliveries, Adaptive Drone Structures, Generative Design Techniques, Precision Drone Optimization, CAD for UAVs.

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 Abstract

This study presents a comprehensive examination of progressive collapse analysis in a reinforced concrete (RC) framed structures, using Extended 3D Analysis of building System ETABS software package 2018, in conjunction with the General Service Administration (GSA). The ETABS software is employed to facilitate linear static simulations of the RC framed structure subjected to a range of loading scenarios, such as blast and impact events. Subsequently, the GSA method is applied to assess the structural response and redistribution of loads following local damage. The DCR method is then utilized to investigate the demand-capacity ratio of critical structural elements, aiding in the identification of vulnerable components and informing necessary design modifications and retrofit strategies. The primary objective is achieved by comparing the DCR values of structural members allowing us to comment whether the structure will enter the collapse state. Incorporating this analysis while designing will help for safer Structural Designs.

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 Keywords

Progressive collapse, Demand capacity ratio (DCR), Linear Static Analysis, GSA Guidelines, Column removal.

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 Abstract

Depression in old age is a growing public health issue that causes morbidity and has a negative impact on quality of life. Depression in the elderly is underdiagnosed and undertreated since it is not yet recognized as a public health issue. The elderly's mental health is influenced by their physical and social environments. As a result, the study was designed to assess and compare depression among elderly people who live in old age homes (OAHs) and those who live with their families in urban areas. The purpose of the study is to assess the prevalence of depression among the elderly people living in old age homes and living with families in urban areas. The sample consists of 100 elderly people in the age range of 65-75 years. Out of them 50 males and 50 females. Half of them were living in old age homes (OAHs) and the other half in families. Sample was selected through purposive sampling. Both males and females participated in the study. The data was collected online through a google form questionnaire. Geriatric Depression Scale (GDS-15) was used to measure the depression level of the participants. As a result, the t-tests were interpreted to find the gender difference between the 2 variables of depression. Significant gender difference between males and females was found in depression. Also, the prevalence of depression is more among elderly females as compared to than elderly males.

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 Keywords

Depression, Risk Factors, Elderly person, Old age homes, Family.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract : Artificial intelligence (AI) has brought tremendous opportunities to the workplace through innovations in robotics across both AI and the Internet of Things (IoT). Precision, efficiency, and flexibility are considered potential benefits of Industry 4.0. The adoption of Industry 4.0 requires many changes, including in Human Resources (HR). In Industry 4.0, HR capabilities become more important and advantageous for companies. HR departments need to be more attentive and adaptive to adapt to challenges and demands. We investigate the contribution of AI to HR digitalization and Industry 4.0 practices. 271 HR professionals from the information technology (IT), manufacturing, and management sectors were selected for the study, which focuses on five AI applications in HR capabilities and three elements of HR readiness. The results showed that hierarchical organizational analysis is a fundamental part of achieving sustainable development. Adaptability and human resource capabilities are supported by all five components of the AI application area in HR. Improving employee benefits and safety was considered a key element of AI application in HR.

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 Keywords

: Artificial intelligence, Structural equation Modelling, Human resource Management, Industry 4.0

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Creative Commons Attribution 4.0 and The Open Definition