Volume 12 | Issue 4 |

 Abstract

BACKGROUND Hand hygiene is crucial in healthcare settings for infection control and patient safety. It is a global health issue and the most cost-effective way to reduce infections and antimicrobial resistance. Hand hygiene is the act of cleaning one's hands with soap or handwash and water to remove viruses/bacteria/microorganisms, dirt, grease, or other harmful and unwanted substances stuck to the hands. Improving hand hygiene practices among healthcare workers can significantly reduce the incidence of HAIs. The WHO estimates that proper hand hygiene practices could prevent up to 50% of healthcare-associated infections. Guidelines for hand hygiene practice have been issued by World Health Organization (WHO) and Center for disease control and prevention (CDC, Atlanta) but lack of awareness among HCW result in poor compliance which could have serious aftereffects on a healthcare system. OBJECTIVES i. To assess the level of pretest-posttest knowledge regarding hand hygiene in prevention of infection among healthcare workers in selected hospitals of Guwahati, Assam. ii. To assess the level of pretest-posttest practice regarding hand hygiene in prevention of infection among healthcare workers in selected hospitals of Guwahati, Assam. iii. To determine the effectiveness of video assisted program regarding hand hygiene in prevention of infection by comparing pretest-posttest level of knowledge and practice among healthcare workers in selected hospitals of Guwahati, Assam. iv. To correlate the knowledge and practice regarding hand hygiene in prevention of infection among healthcare workers in selected hospitals of Guwahati, Assam. v. To find the association between knowledge and practice before video assisted program regarding hand hygiene in prevention of infection among healthcare workers with selected demographic variables. METHODS AND MATERIALS: Pre experimental one group pre-test post-test design was used in this study. Non probability convenience sampling technique was used for obtaining the adequate sample for the study. Study was undertaken on 100 healthcare workers working in selected hospitals of Guwahati, Assam. Healthcare workers were selected on the basis of inclusion criteria. Pre-test knowledge was checked using standardized knowledge questionnaire and practice was assessed using observational checklist. The post-test was conducted on the seventh day after the administration of video assisted programme in the same manner. RESULTS: Result showed that out of 100 health care worker, majority 44(47%) were in the age group of >40 years,59(59%) was male, 78 (78%) of the respondents were under metrics, 35(35%) were working in ICU, 64(64%) had worked for more than 2 years, 95(95%) had attended the training on hand hygiene, 100(100%) have alcohol based handrub practice. In pre-test knowledge, majority 61(61%) had inadequate knowledge with a mean knowledge score of 9.5 and SD 2.90. whereas in post-test knowledge, majority 77(77%) had adequate knowledge with a mean knowledge score of 22.26 and SD 3.70. In pre-test practice, majority 62(62%) had moderately adequate practice with a mean practice score of 10.46 and SD 2.74. whereas in pre-test practice, majority 51(51%) had moderately adequate practice with a mean practice score of 20.03 and SD 3.36. The calculated value of 'T' (4.71) was more than the tabulated value (1.98) at 0.05 level of significance for knowledge and the calculated value of 'T' (3.18) was more than the tabulated value (1.98) at 0.05 level of significance for practice which signifies that video assisted programme was effective in increasing the knowledge and practice for healthcare workers. The analysis depicted that there was significant association between pre-test knowledge regarding hand hygiene and education, settings and work experience, there was significant association between pre- test practice regarding hand hygiene. CONCLUSION: Based on the analysis of the findings of the study, the following inferences were drawn. There was evident increase in the knowledge and practice in all areas included in the study after the administration of video assisted program on hand hygiene. Thus, it was proved that the video assisted program was an effective teaching method for creating awareness on the importance of hand hygiene.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

hand hygiene, healthcare workers, alcohol based handrub, prevention of infection

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A novel multimodal stress prediction system combines psychological questioning to assess emotional states and facial recognition technology to analyze facial expressions. By integrating these approaches, the system accurately determines stress levels in users. Through a series of tailored psychological questions and real-time facial emotion recognition, the system provides a comprehensive assessment of the user's stress levels using machine learning techniques. The culmination of this process yields a precise percentage indicating the individual's stress level, enabling timely interventions and personalized stress management strategies. This innovative project aims to revolutionize stress monitoring by leveraging both psychological profiling and facial recognition technologies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

psychological profiling, facial recognition, machine learning, stress levels

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Title: Intelligent Autonomous Delivery Robots - Little Indian: The Last Mile Abstract: The last mile delivery problem has long been a bottleneck in supply chain logistics, posing challenges for efficiency, cost-effectiveness, and environmental sustainability. In response, the emergence of autonomous delivery robots promises transformative solutions. This paper introduces LITTLE INDIAN, an Intelligent Autonomous Delivery Robot designed to revolutionize last mile delivery operations. LITTLE INDIAN is equipped with state-of-the-art technologies, including artificial intelligence, computer vision, and advanced robotics. These enable it to navigate complex urban environments, interact safely with pedestrians and vehicles, and autonomously deliver packages to designated locations. Through its intelligent decision-making capabilities, LITTLE INDIAN optimizes route planning, adapts to dynamic environmental conditions, and ensures timely and secure deliveries. Key features of LITTLE INDIAN include its compact size, modular design, and energy-efficient propulsion system, which enhance maneuverability and minimize environmental impact. Moreover, its integration with cloud-based management platforms enables real-time monitoring, fleet coordination, and seamless integration with existing logistics infrastructure. This paper outlines the technical specifications, operational capabilities, and potential benefits of LITTLE INDIAN in enhancing last mile delivery efficiency, reducing costs, and mitigating carbon emissions. Additionally, it discusses ongoing research, regulatory considerations, and future prospects for the widespread adoption of autonomous delivery robots in transforming the last mile logistics landscape.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autonomous Delivery Robots Last Mile Delivery Little Indian Artificial Intelligence Route Optimization Energy Efficiency Cloud-Based Platform Regulatory Compliance Sustainability Logistics Ecosystem

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper, I have presented views in contrary to the concept of privatisation of prisons, with respect to India and why it would not be enforceable and effective in India. Privatisation essentially means delegating or transferring operation and management of a facility or system to a private company that provides services like medical facilities, goods and services, shelter and housing, vocational training and so on, in exchange for a fee from the State. Evidently, the purpose or objective, with which the prison was established, is to deter crimes by punishing the offender or to rehabilitate and reform the offender in order to ensure their eligibility to maintain their livelihood outside the prison. This paper further brings into focus the theories presented by Marx with reference to Foucault's theory of Discipline and Punishment, shedding light on how the prison system works and how the privatisation of prisons is a political agenda perpetuated in order to economically benefit a country rather than reforming the prisoners. This paper also analyses this concept in respect of relevant case studies such as the Standford Prison Experiment, the PPP agreement of Tihar Jail and privatisation of prisons in the United States of America and how it affected the rights of the prisoners.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Prison System, Privatization of Prisons, PPP Agreement, Indian Constitution, Marxist Theory.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Smart irrigation systems are considered to be the next level in agriculture, where they use artificial intelligence (AI) for their design. The system makes decisions using sensors that monitor humidity, temperature, and environment to gather data at the appropriate times. With the use of artificial intelligence algorithms like machine learning models, this information can be interpreted, and an effective irrigation plan can be put in place depending on crop type and climate conditions. Water resources in any region are valuable because they are required for life. In underground water well, where This paper is implemented, controlling the auto water supply will ensure that different areas of the place get their own share of water. Using the system's advanced features and remote control capability; farmers can monitor and manage soil moisture levels, reduce water waste, enhance crop productivity, minimize damage from diseases and insects, and save up to 50% in operational costs. The advantage of this approach is that it will support local knowledge combined with technology application to enhance agricultural production and environmental protection. The project's hardware includes the Arduino Uno controller as its core, the DHT11 sensor which measures temperature and humidity, as well as the soil humidity sensor; two solenoid valves control the water flow. Once the artificial intelligence component is integrated, the systems will initiate and the Blynk (Android) app, using the Internet of Things (IoT), will continuously monitor the sensor data.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

AI technology, Water management, Irrigation optimization, Crop yield prediction, Sensor network, Machine learning, Automated valve control, Sustainability, Farm efficiency.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Self-damage is a main international hassle that influences people and economies alike. It is becoming extra not unusual as cities grow and era advances, especially in growing countries. In positive regions, traditional forecasting techniques that rely on historical data might not be sufficient, making it greater difficult to quick recognize and are expecting styles in self-damage. The FAST assignment uses social media facts and numerous system learning algorithms, consisting of Decision Tree, ARIMA, Bayesian Ridge, SVR, XGBoost, Random Forest, CatBoost, and Voting Regressor, to close this gap. By using those cutting-edge techniques, FAST enhances traditional forecasting methods by using presenting actual-time insights into new self-harm traits. To further improve prediction accuracy, the examine combines the advantages of separate models into an evaluation this is greater robust with the aid of utilizing ensemble processes.This novel approach affords a greater comprehension of the difficult interactions between social affects and behavior that lead to self-damage, equipping stakeholders and policymakers with practical know-how to perform preventative interventions globally.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Self-harm, nowcasting, forecasting, online social networks, cross-lingual text classification

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research paper presents the development and evaluation of an artificial intelligence model specifically adapted for the diagnosis of early chronic kidney disease (CKD).Emphasis on explainability ensures transparent and understandable predictions, which are key to the adoption of AI in healthcare. CKD is a major global health problem that requires early diagnosis to stop kidney damage and reduce healthcare costs. The project aims to contribute to proactive solutions recognizing the borderline implications of CKD. Using an optimization framework balances classification accuracy and increases overall efficiency. This ML (Machine Learning) algorithm uses three key features for the diagnosis of CKD: Hb (hemoglobin), specific gravity, hypertension and required indicators for early detection of CKD. This model offers solutions and challenges, especially in developing countries, by emphasizing cost reduction and increasing the availability and affordability of health care. We also used methods to combine predictions from multiple models, including techniques such as a stacking classifier, yielding an impressive 100% accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Estimated glomerular filtration rate (eGFR),Hypertension,ExtraTree Classifier, Random Forest, AdaBoost Classifier, XGBoost,Extension Stacking Classifier,

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The performance of flexible pavement is determined by the functions of the component layers, particularly the subgrade. Subgrade is the compacted layer of soil provide the lateral support to the pavement. Our approach is to improve the properties of soil is with addition of admixtures like lime and stone dust with soil. Soil stabilization is one of the most suitable alternatives which are widely used in pavement construction. Soil stabilization and soil treatment gives an innovative solution to improve the engineering properties of soil by improving the bearing capacity, durability of weak soil and other characteristics as per requirement. In this study lime and stone powder has been selected as a stabilizer. The soil is tested in the laboratory by reinforcing it with different percentages of lime and stone dust, namely 5%, 10%, 15%, 20%, 25%, 30%. Atterberg limit and compaction test were carried out on both unmodified and modified soil. California bearing ratio (CBR) test was performed to determine the strength properties of the soil, lime, stone powder mixtures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Flexible Pavement, Subgrade Soil, Stabilization, Lime, Stone dust, CBR, Bearing Strength.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lotus extraction, Carrot juice , Moisturising

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Within the fast-changing field of digital marketing, Tesla is one of the leading innovators in the automotive sector. This abstract presents a thorough plan for improving Tesla's digital marketing tactics by utilizing the company's distinctive brand identification and state-of-the- art technologies. The tactics that have been suggested cover a range of digital platforms, such as influencer alliances, social media, content marketing, and search engine optimization (SEO). Tesla can connect with its audience more deeply and increase brand advocacy by utilizing social media sites like Instagram, Twitter, and LinkedIn. In addition, a focus on content marketing with blogs, films, and interactive experiences may inform customers about technical breakthroughs, environmental programs, and Tesla goods. In addition to boosting organic traffic, this strategy establishes Tesla as an expert in the electric vehicle In addition, maximizing Tesla's online exposure in search engine results using SEO strategies attracts potential buyers at different phases of the buying process. Tesla can draw in quality leads and increase conversion rates by continuously producing insightful content and optimizing keywords associated with electric cars and environmentally friendly transportation. And various means of networks. Furthermore, collaborations with celebrities and industry experts may help Tesla expand its brand messaging and reach new audiences. Collaborating with environmental activists, tech enthusiasts, and automotive influencers may help Tesla build brand credibility and generate conversation about its offerings and goals. Which can help brand to achieve its objectives. The recommended digital marketing techniques provide a road map for Tesla to improve its market visibility, establish meaningful connections with customers, and promote long-term success in the digital era. Tesla can continue to lead the way to a greener, more connected future by combining creative techniques with a dedication to quality. With uniqueness in their branding techniques In conclusion, Tesla can drive brand growth, improve consumer connections, and preserve its position as an automobile industry innovator by incorporating these unique digital marketing methods into its overall marketing framework. This summary captures the core of the recommended tactics, offering practical insights for Tesla's digital marketing efforts in the rapidly changing digital marketplace.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital marketing, social media , online marketing, strategies

  License

Creative Commons Attribution 4.0 and The Open Definition