Volume 11 | Issue 12

 Abstract

This land management website is primarily functionally driven by Python, with HTML providing structure, CSS handling aesthetics, and JavaScript handling interactive features. It uses Google Maps APIs to provide accurate location and mapping. Stripe handles the money part, guaranteeing safe online transactions. Admins have a control center in the form of a rulebook for creating and managing user accounts. MySQL Workbench is used to manage data storage, acting as a virtual filing cabinet for user and land information. Flask serves as a development guide, which guarantees a smooth integration of various tools. In conclusion, this extensive website allows for safe online payments, effective user management, and land measuring verification.

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HTML, Stripe, MYSQL Work Bench, Google Map API, Cascading Style Sheet.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This case describes about the particular situation or problem of how variable pay is an element of employee shifting the job and even though the external market conditions were the factors that had effected in the variable pay and that its impact on the performance. It also talks about the good leadership qualities of a Manager who tries to convince the employee who is will to quit. This case is totally about the situation and reaction of employee on variable pay.

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Variable pay, Market conditions, Performance & Leadership qualities.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Solubility of orally administered drug is major challenge of pharmaceutical industry as nearly 35-40% of newly launched drugs posses low aqueous solubility which leads to their poor dissolution and low bioavailability, resulting in high intra & inter subject variability & lack of dose proportionality. This can be increased by different methods like salt formation, solid dispersion and complex formation. Self-Emulsifying Drug Delivery System (SEDDS) is gaining popularity for improving the solubility of lipophilic drugs. SEDDS are defined as isotropic mixtures of one or more hydrophilic solvents and co-solvents/surfactants that have a unique ability of forming fine oil-in-water (o/w) micro emulsions upon mild agitation followed by dilution in aqueous media, such as GI fluids.Present review provides an updated account of advancements and disadvantages in SEDDS with regard to its composition, evaluation, different dosage forms method of preparation and various applications.

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Solubility, Bioavailability, Self emulsified drug delivery system

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Psoriasis is one of the most common skin disease seen mostly nowadays. It is a chronic inflammatory, hyperproliferative skin disease,is characterized by erythematous ,scaly plaques , results from genetic , environmental and immunological factors.This article deals with an overview of psoriasis,and also a case report of psoriasis based on clinical experiences.

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Psoriasis,Erythroderma,Chronic inflammatory disease, Autoimmune,Homeopathy,Miasmatic treatment.

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 Abstract

Socialism in modern Kannada dramas

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Socialism in modern Kannada dramas

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Creative Commons Attribution 4.0 and The Open Definition

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Solid lipid nanoparticles (SLNs) have emerged as promising carriers for ocular drug delivery systems due to their unique characteristics. These nanoparticles are composed of biocompatible lipids, providing a stable matrix for drug encapsulation. The solid nature of SLNs offers improved physical stability, preventing drug leakage and degradation during storage. The small particle size of SLNs facilitates efficient penetration through ocular barriers, enhancing drug bioavailability within the eye. Moreover, SLNs can be surface-modified to control drug release rates and improve targeting specificity. In the context of ocular drug delivery, SLNs offer advantages such as reduced systemic side effects and prolonged drug retention in the eye, leading to enhanced therapeutic outcomes. The biodegradable nature of lipid-based carriers further contributes to their safety profile. Overall, solid lipid nanoparticles represent a promising platform for the development of effective and safe ocular drug delivery systems, addressing the challenges associated with conventional formulations and improving patient compliance

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nanoparticles, eye, drug delivery, conventional

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Honey bee is vital for pollination and ecological services, boosting crops productivity in terms of quality and quantity and production of colony products: wax, royal jelly, bee venom, honey, pollen and propolis. Honey bees are most important plant pollinators and almost one third of diet depends on bee's pollination, worth billions of dollars. Hence the role that honey bees have in environment and their economic importance in food production, their health is of dominant significance. Honey bees can be infected by various pathogens like: viruses, bacteria, fungi, or infested by parasitic mites. At least more than 20 viruses have been identified to infect honey bees worldwide, generally from Dicistroviridae as well as Iflaviridae families, like Acute Bee Paralysis Virus, Black Queen Cell Virus,Kashmir Bee Virus, Sacbrood Virus, Chronic bee paralysis virus, Slow Bee Paralysis Virus along with Israeli acute paralysis virus, and Deformed Wing Virus are prominent and cause infections harmful for honey bee colonies health.

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A REVIEW ON: IMPORTANCE AND ROLE OF HONEY BEE

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One of the main causes of cancer-related mortality is lung cancer, which presents a serious healthcare issue. To address this issue, deep learning and AI technologies are being leveraged to enhance early detection and diagnosis. These innovative approaches analyze medical imaging data, such as CT scans, to improve accuracy and enable timely interventions, ultimately contributing to more effective and personalized treatments for lung cancer patients. Deep learning methodologies have been integrated to ascertain the presence of lung cancer in individuals by deriving relevant characteristics from CT-Scan images sourced from a data repository. These predictive systems not only identify lung cancer but also facilitate the analysis of inherent behavioral patterns within the images, offering additional insights. This study looks into how machine learning (ML), deep learning (DL), and artificial intelligence (AI) can improve lung cancer diagnosis, particularly through the analysis of medical imaging data, such as CT scans and by doing so focuses on a method for more precise early detection for lung cancer. In doing so this research paper proposes a novel algorithm, the Hybrid Deep Neural Network-Convolutional Neural Network (hDCN). Evaluation through standard statistical techniques reveals an accuracy rate of 69.024% and an impressive precision of 94%, highlighting the hDCN algorithm's potential in transforming early detection strategies for lung cancer.

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Convolutional Neural Network, Deep Learning, Deep Neural Networks, Lung Cancer

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Childhood cancer accounts for less than 2% of all cancers diagnosed each year. About 12-14,000 children will be diagnosed in a given year with any type of cancer. Over the past fifty years, treatments and cure rates have improved from 10-20% five-year survival rates to between 80-85% five-year survival rates. Psychosocial support of children with cancer and their families has grown and has been more fully integrated into paediatric care over the past five decades. Psychosocial oncology, a relatively new discipline, is a multidisciplinary application of the behavioural and social sciences, and paediatric psychosocial oncology is an emerging subspecialty within the domain of psychosocial oncology. This review presents a brief overview of some of the major clinical issues surrounding paediatric psychosocial oncology. Children's cancers are not always treated like adult cancers. It's important to know that this expertise exists and that there are effective treatments for many childhood cancers. Adjusting to a child's cancer diagnosis and finding ways to stay strong is challenging for everyone in a family.

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Paediatric oncology, Psychosocial oncology

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The current study has been undertaken to assess knowledge score regarding Safety precautions for elderly peoples among young adults by awareness package in selected rural area. The research design used for study was pre- experimental in nature. The tool for study was self-structured knowledge questionnaire which consists of 2 parts-PART- I consisted questions related to Socio-demographic data; PART-II consisted of self -structured knowledge questionnaire to assess knowledge score regarding Safety precautions for elderly peoples among young adults. The data was analyzed by using descriptive & inferential statistical methods. The most significant finding was that 29.4% of young adults were having average knowledge regarding Safety precautions for elderly peoples whereas 70.6% had fair knowledge after post-test. It was suggested that nurses must educate young adults regarding Safety precautions for elderly peoples.

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Impact, awareness package, knowledge & Safety precautions for elderly peoples

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This paper investigates the performance of the lap length of CFRP sheets in strengthened RC beams to predict the ultimate load and deflection. A nonlinear 3D finite element model (FEM) subjected to a single point load is developed using ABAQUS. The behaviour of beams is described by evaluating their respective material models. The concrete-CFRP interface is represented by a cohesive zone model and the CFRP is modelled using a linear elastic isotropic model. Lap splicing of CFRP sheets is usually adopted for the transition of forces. Here, the CFRP is lapped for the length of 25mm, 50mm, and 75mm at mid-span and 1/3rd span of the beam. The numerical analysis aligns well with experimental findings in terms of load-deflection response when employing the cohesive bond model. The effect of the variation in the grade of concrete and the depth of the beam is also taken into account. It is observed that 50mm lap length sustains higher load-carrying capacity for the variation in the grade of concrete and depth of the beam. A 50mm lap length is found to be optimum.

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Carbon fiber reinforced polymer (CFRP); Finite element model (FEM); Lap Length; ABAQUS.

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Medicinal plants plays important role in cure of diabetic mellitus of all over the world . The profile presented include it's methodology used and their bioactive agent with antidibetic activity ficus recemosa linn.(family; moraceae ) popularly known as the cluster fig tree or Gular ,is famous medicinal plants in India , which is used in traditional plant system of medicine for a long time, for the treatment of various disorders like diabetes, live disorder, diarrhea, inflammatory conditions, hemorrhoids, respiratory and urinary disease. In the traditional system of medicinal various plants part such as bark ,root, leaves, fruits, latex ,used in dysentery, diarrhea, diabetes, bilious affections , stomach ache . Ficus recemosa is an important medicinal plants , found in India , Australia and southeast Asia . It is popularly known as gular . It reduces the blood glucose conc .due to presence of p - sitosterol . It is popular in indigenous system of medicine like ayurveda ,siddha , unani ,and homoeopathy . It is a scared tree of Hindus and Buddhists . A moderate sized tree found throughout India either wild or cultivated for its fruits eaten by villages . The genus ficus is very useful and significance group of trees with various therapeutic properties ficus recemosa is also known as yujnayoga udumbara , goolar , dumbar , bodda , heibong , jantuphalan , dimri , yaggadumbar , and many more names . It grows naturally near bodies of water but may also be grown artificially . The different parts of the plants have numerous phytochemical compounds ( alkaloids , tannis , saponins , B - sitosterol , lupeol and other compounds ) and possesses numerous therapeutic properties .

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Ficus recemosa , diabetes mellitus, family - moraceae , Gular , liver disorder , B - sitosterol .

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 Abstract

Cold-Formed Steel (CFS) has become increasingly popular in the construction industry due to its sustainable and cost-effective characteristics, serving as a viable alternative to traditional building materials. Optimizing the profile of CFS sections has proven effective in enhancing the structural efficiency of members by mitigating buckling instabilities that could lead to premature failure. A great example of such optimization is found in the CFS sigma section, which differs from the conventional lipped C-section by incorporating a web-stiffening feature to enhance resistance to both local and distortional buckling. This experimental investigation delves into the behavior of CFS sigma beams under eccentric loading, a condition that induces combined bending and torsional moments. The research seeks to interpret prevalent failure modes in these beams and assess the impact of modifying geometric parameters on their load-bearing capacity. A carefully designed test setup was employed to ensure compliance with prescribed loading and boundary conditions. Concurrently, numerical models were developed using Abaqus Finite Element Analysis (FEA) software to simulate the behavior of the tested beams. These models were calibrated against the experimental results, enabling the generation of load-displacement curves to offer deeper insights into the research findings.

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Cold-Formed Steel Sections, Sigma Section, Local Buckling, Distortional Buckling, ABAQUS, Finite element analysis, Eccentric beam loading.

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Sericulture in India is as old as Indian culture itself. India has emerged as a prominent sericulture practising country in the world landscape. The silkworms' healthy and vigorous growth is dependent on the quality of the mulberry leaf. Diseases are a key limiting issue in Mulberry farming, with Cercosporamoricola Cooke, the incitant of leaf spot, being one among them, inflicting significant harm to leaf yield while also affecting silkworm health. When four plant extracts and three plant oils were tested against the pathogen, Eucalyptus globules at 10% (72.59%) and Madhucaindica oil (3%) shown the greatest inhibition. Among the many fungal biocontrol agents tested against the disease, Trichodermaviride (80.55 percent) inhibited mycelial growth much more than the control.

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Mulberry, Leaf spot disease, Bio-Control methods, silkworm health.

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 Abstract

The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and decision-making capabilities of the human mind. In general AI is a field, which combines computer science and datasets, to enable problem- solving. In the existing system, the requests are handled on First Come First Serve basis. The complexity of using FCFS is its long wait times. In the proposed system, the complexity of FCFS is overcome by using the round-robin scheduling algorithm which allocates slots based on predefined time intervals. Therefore the availability of free booking slots is known to the user. KNN Algorithm is used to find the nearest charging station. The proposed system will result in the reduction of waiting time and good accuracy.

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The Electrification of the transportation sector is one of the viable solutions in minimizing the carbon emission over the atmosphere. Due to the rapid growth of electric vehicles in the market, electric vehicle charging stations are in demand among electric vehicle users. As charging of electric vehicles takes a long time, prebooking of charging slots can be done to avoid the waiting time. Artificial intelligence leverages computers and machines to mimic the artificially problem- solving and de

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The proposed new system contains many activities that try to automate the entire process by keeping database integration. This offers a sophisticated user interface for interacting with the offered applications. It offers the personnel rest areas as well. It creates a breakdown bill and gathers data from the service centre. It is simple to allocate the services to the service team. Clients and regular users receive all service details, and all users receive authentication. It also makes the feature of complaints and responses easier. A CRM is a group of individuals, procedures, programmes, and online tools that assist a business in efficiently and methodically managing its customer relationships. CRM seeks to maximise product and service sales while comprehending and anticipating the demands of both present and future customers in order to boost customer loyalty and retention. CRM refers to the management of customer relationships. It's a tactic to gain greater insight into the wants and desires of clients so that you can build closer bonds with them. After all, the foundation of any successful firm is a strong customer base. Although CRM has a lot of technological components, it would be incorrect to conceive of CRM solely in terms of technology. CRM is best understood as a process that assists in assembling a variety of data regarding customers, sales, marketing efficacy, responsiveness, and market trends.

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CRM, customer engagement, customer retention

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In today's digital age, the ethical implications surrounding individual privacy in the realm of social media have become a topic of significant concern. This study aims to conduct an in-depth analysis of the ethical dimensions associated with the use of social media platforms, with a specific focus on the city of Chennai, India. Furthermore, the study investigates the role of social media companies in safeguarding user privacy and their adherence to ethical standards in data handling.Through this research, it is anticipated that a comprehensive understanding of the ethical challenges and value of individual privacy in the context of social media in Chennai will be achieved. The findings of this study will contribute to the development of recommendations and strategies for individuals, social media platforms, and policymakers to better protect and respect the ethical dimension of individual privacy in the digital age.children.Empirical research is used for the study . The methodology used by the researcher is a convenience sampling method to collect the samples. The sources used are primary source such as questionnaires,surveys and secondary sources such as books and journals.The total sample size collected through questions is 202.The statistics tools used by the researcher are bar graph.

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Ethical dilemmas,breaches,policymakers,recommendations,strategies

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Creative Commons Attribution 4.0 and The Open Definition

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Bianchi type-III cosmological models within the frame work of f(R,T) gravity have been investigated in the presence of Lyra's geometry. To obtain the solution of the field equation with f(R,T) gravity based on Lyra's geometry, we consider second case of the f(R,T) model i.e. f(R,T)=f_1 (R)+f_2 (T), where R is the Ricci scalar and T is the trace of the source matter. Here we consider (EoS) state of the form p=?? where ? is a constant. The physical parameters have studied in this paper.

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Bianchi type-III, Lyra's Geometry, f(R,T) gravity

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Abstract: Each year, several tomato plant illnesses cause farmers to lose money and squander their crops. These diseases of the tomato plant are not easily known. Though tomatoes can be purchased, we will never know the status of the tomato plant. To overcome this and to make farmers and consumers have a happy and healthy life, we can design a web application that detects the status of the tomato plant. Our research focuses on the construction of a strong and accurate classification model capable of identifying several illnesses affecting tomato leaves, including early blight, late blight, bacterial spot, and mosaic virus. We deployed a diversified dataset comprising high-resolution photos of damaged and healthy tomato leaves, obtained from different places and under varying environmental conditions. The results illustrate the model's high accuracy, sensitivity, and specificity in differentiating between distinct tomato leaf illnesses and healthy leaves. The project seeks to develop a web application that leverages image classification using convolutional neural networks (CNN) to help tomato growers detect and prevent plant illnesses, which are a major cause of economic loss and crop waste. The program will enable farmers to upload a picture of their tomato plants and obtain an immediate evaluation of whether the plant is healthy or infected. By doing so, we can become familiar with the position of the particular tomato and the tomato plant. The technology stack for this project will contain TensorFlow for model creation, data augmentation, and the TF dataset, as well as React JS, which is used for front-end development, and Flask for back-end development.

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Deep Learning, Model Building, Image Processing, Convolutional Neural Network, Web Development

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As we look around, we can see that the world is constantly changing, and this can be particularly challenging for young people. There are many stressors that can impact their well-being and development, including family conflicts, peer interactions, socio-cultural components, and physical and mental health risk factors. Unfortunately, the impact of these stressors can be severe and long-lasting, with research indicating that many young people struggle with depression, anxiety, and even suicide due to these challenges. To address these issues, it is crucial that we rethink the purpose of higher education. Rather than just focusing on academic performance or job creation, colleges need to prioritize the well-being and happiness of their students. By implementing a curriculum that fosters emotional intelligence, we can create a more nurturing environment that promotes growth and development. This approach will help young people to not only succeed academically but also develop a deeper understanding of themselves and others. As educationists, we can work together to create a better future for our young mass. By focusing on their well-being and happiness, we can create a more balanced and supportive environment that promotes growth and development. The implementation of the Happiness Curriculum in the higher education framework is one way to achieve this goal. It is unacceptable that India ranks as low as 122 out of 155 countries evaluated in the 2017 World Happiness Report. As a developing country, it is imperative that we provide our people with every opportunity to succeed, and this includes a curriculum that not only promotes academic excellence but also fosters happiness, confidence, and self-awareness among students. The launch of the Happiness Curriculum is a positive step in this direction, and it is crucial that we implement this curriculum in higher education. A 'Happiness Curriculum' will offer students enrichment opportunities, self-learning, peer-learning, and group learning, and will ensure that they are better equipped to face the challenges of the future.

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 Keywords

Youth, Unhappiness, Modern Society, Social Pressure, Happiness Curriculum

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Creative Commons Attribution 4.0 and The Open Definition