Volume 13 | Issue 12 |

 Abstract

Clinical Evaluation of Panchamuli Kashaya with Pippali Prakshepak in the Management of Vataja Kasa: A Prospective Open-Label Ayurvedic Clinical Study

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Clinical Evaluation of Panchamuli Kashaya with Pippali Prakshepak in the Management of Vataja Kasa: A Prospective Open-Label Ayurvedic Clinical Study

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Employee development activities help in the growth and development of employees, who are the true assets of an organization. Organization's need to respect their employees for them to feel motivated and develop a sense of loyalty and attachment towards the organization. Employees strive really hard to accomplish the organization's goals and objectives. Employees need to grow with time. Hence assessing the development needs of the employees is an essential exercise for building a future-ready workforce. The main objective of this paper is to study the perception of executives on effectiveness of the various methods and activities in assessing development needs of employees. The various methods of assessing the development needs of the employees like CEO Evaluation, Supervisor's Evaluation, Annual Performance Evaluation Ratings and Self - Assessment are considered for the study. Further the study also covers the various employee's developmental activities like Job Rotation, Job Enlargement, Job Enrichment, Coaching and On - the Job Training. The research focuses on the effectiveness of this methods and activities in assessing the development needs of the employees in selected groups of companies based in Bangalore. The type of the research adopted in this study is diagnostic study. The required data for the study were collected from both the primary and secondary sources. The primary data is collected through administered questionnaire from 300 executives. The data collected were analysed and presented with the percentages. The findings of the study help to know the perception of executives towards effectiveness of this methods and activities in assessing the development needs of the employees.

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Training and development, Assessing development needs, Employee development, Business Operation, Key Positions, Talent pool, Perception, Executives, Succession Planning and Management, Replacement Planning, Critical Position, Transition, Leadership Continuity, Leadership pipeline.

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Frankenstein, often hailed as the world's inaugural science fiction novel and uniquely crafted by a female author, has garnered acclaim for its captivating blend of gothic aesthetics, forward-thinking ideas, and masterful language. Published in 1818, the narrative serves as a cautionary tale, warning against audacious scientific experiments that disrupt the natural order. Moreover, it provides a critical examination of the prevailing male hegemony in realms such as life, literature, and art. Despite undergoing significant revisions in 1831, Mary Shelley's Frankenstein maintains its role as a potent critique, particularly directed at the idealistic pursuits of male-driven scientific endeavours and the marginalization of feminine creative power. The paper in question seeks to reevaluate the novel through the lens of an anti-utopia, asserting that the deliberately bleak and devoid-of-hope conclusion serves a purposeful narrative function. To support this claim, the paper delves into the historical context of the term "anti-utopia," drawing distinctions from its more commonly known counterpart, "dystopia." It aims to showcase how Frankenstein's concluding moments intentionally lack a sense of hope or alternative, suggesting that this narrative choice is not an oversight but a deliberate decision on Shelley's part. In building this argument, the paper will cite specific instances from the text, highlighting how the storyline evolves toward its eventual annihilate ending. It posits that within the context of the depicted circumstances, the bleak resolution emerges as the most logical and fitting solution to the problems presented in the narrative. Moreover, the paper will explore the idea that Mary Shelley's own shifting beliefs are reflected in the novel's conclusion, indicating a nuanced perspective on the consequences of unchecked scientific ambition and the imbalance of power between genders.

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dystopia, gothic, aesthetics, hegemony, marginalization.

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Catheter-associated urinary tract infection (CAUTI) is a significant topic in hospitalized patients, and the patient characteristics take a key role on risk determination. The knowledge of the profile of catheterized patients not developing CAUTI can facilitate a clearer grasp of the factors that can influence the process of achieving the infection-free outcomes. To present demographic and clinical features of patients in the control group having urinary catheters and find patterns that are applicable to the prevention of CAUTI. A descriptive observational study was done on 200 catheterized adults in a tertiary care hospital. The demographic variables were age, marital status, education, occupation and residence. Some of the clinical variables were diagnosis, postoperative surgery, and BMI. The analysis of data was based on the use of descriptive statistics and independent t-tests. The majority of the patients were aged between 20 and 50 years with the gender distribution close to equal. The majority consisted of married patients, those with secondary or university level of education and individuals residing in the urban areas. The most common diagnosis was urinary retention, which was then followed by urinary incontinence and bladder management after surgery. The most common postoperative surgeries included Prostatectomy and pelvic surgery. The patterns of BMI indicated that there were a higher number of overweight people. The independent t-tests showed significant differences in all the demographic and clinical variables (p < .05).The results indicate a vivid demographic and clinical characterization of catheterized patients who were not exposed to CAUTI. The characteristics are able to facilitate tailored preventive measures and more careful catheter management practices in healthcare facilities.

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Catheter-associated urinary tract infection, Sociodemographic, Diagnosis, Body Mass index

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This study is based on the backdrop of a very elaborative and in-depth analysis of a policies document released by various prominent national and international which highlighted the various needful aspects of introduction and integration of Artificial Education at school level. The report has highlighted the potential, problems and futuristic goals related to implementation of artificial intelligence. Policy Guideline runs across on the recommendation of UNICEF which talks about 'Child-Centredness 'and Sustainable Development Goals (SDGs). It further talks about the risks and threats related to 'Discrimination and Exclusion' related to accessibility of Artificial Intelligence. It also addresses the concerns like- 'Data Protection', 'Privacy Rights', 'Digital Divide' in elaborative manner. Issues like- Gender Equity in usage of AI has also been at the core of this paper. The momentum of National Strategy for Artificial Intelligence is being discussed through this paper. India's workforce re-skilling and understanding 'machine learning' helps in promoting the spirit of 'Digital India'.

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Child-Centredness, SDGS, Discrimination and Exclusion, Data Protection, Privacy Rights, Digital Divide, Machine Learning, 'Digital India.'

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The creative and personalized brand of applicants is often not fully conveyed in conventional paper-based resumes, which limits their effectiveness in today's competitive job market. Existing digital tools are mostly restricted to either resume building or portfolio management, offering limited integration with recruiters and minimal opportunities for collaboration. To address these shortcomings, this paper introduces ProFolio, an intelligent and unified platform developed using the MERN stack (MongoDB, Express.js, React.js, Node.js). The system provides customizable templates, drag-and-drop editing, multimedia support, and real-time updates with adjustable visibility options. In addition, recruiters are equipped with tools for candidate search, bookmarking, and direct communication, while administrators ensure platform integrity through role-based access and oversight.

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Resume Builder, Portfolio Builder, MERN Stack, Cloudinary, Passport.js, Career Tools, Recruitment System, Analytics

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Kolluru Sri Mookambika Devalayada Vastushilpa mattu Samskritika Ithihasa: Dravida- Kerala Shailigala Samnvyada Ondu Adhyayana

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Kolluru Sri Mookambika Devalayada Vastushilpa mattu Samskritika Ithihasa: Dravida- Kerala Shailigala Samnvyada Ondu Adhyayana

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The analysis of software evolution in object-oriented systems often generates large volumes of code and documentation, making manual inspection challenging. Lexical feature extraction provides an effective way to derive insights from these software artifacts across multiple abstraction levels--from individual identifiers and comments to class- and project-level semantics. This paper introduces a novel multi-level framework for automated lexical feature extraction that combines natural language processing (NLP), static code analysis, and representation learning techniques. The framework captures lexical, syntactic, and semantic patterns across software versions, enabling better insights into software evolution. Evaluations conducted on several open-source repositories demonstrate that the framework improves key software maintenance tasks, such as change impact analysis, feature location, and code summarization. The results show that multi-level lexical features enhance model performance in evolution analysis by up to 23%, compared to traditional single-level approaches.

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Object-Oriented Software, Automated Lexical Feature Extraction, Software Evolution, Multi-Level Framework, Mining Software Repositories

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Home automation is everything about a smarter and more efficient living space, where you have great ease in controlling the daily appliances. In this project, I will discuss the possibility of creating a Bluetooth device, an Arduino microcontroller, and a simple yet efficient home automation system that will enable users to control devices such as lights, fans, security systems, and others via a smartphone. It is a combination of an Arduino board and a Bluetooth module that allows for the wireless transmission of information through a mobile application. You can now switch on or off devices with a few taps on your phone, increase or reduce the intensity of light, or even view the status of various appliances from the comfort of your couch. With the HC-05 Bluetooth, the system will be shortrange and therefore will low-power, making it affordable for home automation. The mobile application is simple and can be used by anyone who is a technological enthusiast or just wants to find more convenience in their everyday life. Finally, this project demonstrates that by integrating more affordable and accessible technologies like Bluetooth and Arduino, individuals can experience the advantages of a smart home, enhancing its flexibility, ease of use, and personalization

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Smart Home, Home appliances, Codes, Automation, Electronic components, Hardware, Arduino UNO

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Modern agriculture faces critical challenges in meeting rising food demand amid resource constraints and climate change. Advanced machine learning (ML) techniques--particularly algorithms like Random Forest (RF), Support Vector Machine (SVM), and Decision Trees--can capture complex, high-dimensional interactions among climate, soil, and management factors. Moreover, the integration of IoT devices and remote sensing provides real-time data that further enhances prediction accuracy. In this survey, we systematically review recent studies (2017-2025) on ML-driven crop yield prediction and resource optimization. The evidence shows that ML models frequently achieve high accuracy (often >90%) in yield or soil moisture prediction. Key insights include the importance of environmental features and advanced algorithms. Despite these successes, gaps remain in real-time field validation, data diversity, and standard benchmarking. This review highlights how ML-based approaches can significantly improve crop yield forecasting and resource use efficiency, providing valuable decision support for sustainable agriculture.

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Precision Agriculture; Machine Learning; Crop Yield Prediction; Resource Efficiency; Soil Monitoring; Smart Farming; Sustainable Agriculture;

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