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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Solubility, Bioavailability, Self emulsified drug delivery system

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Socialism in modern Kannada dramas

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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Paediatric oncology, Psychosocial oncology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition