Volume 11 | Issue 5 |

 Abstract

Water bodies have a huge aquatic ecosystem within them. Any high concentration of suspended solids can cause numerous issues for aquatic life by blocking light from reaching submerged vegetation. Hence, there is a need for a solution to remove this trash from the water bodies. The Water cleaning boat Project is an endeavour to clean water bodies with an ambitious mission: to achieve cleaner water-bodies that are free from suspended solids; to reduce human intervention and human labour. This project gives a solution of automated river cleaning with the help of a tread mill arrangement. The RF transmitter and receiver are used to control the cleaning machine. The battery energizes the conveyer belt to clean suspended solids in the river, then is stored in the boat itself to aside. A camera affixed to the boat helps in monitoring the movement of the boat in the necessary directions. The Water-boat Project not only concentrates on technology but also believes that using Science, Technology and Community it is possible to build a sustainable environment.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

river water cleaning boat, pollution free water bodies, dust collecting boat-

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is a song recommendation system, which maps facial expressions to detect the current mood of the user and recommends the songs based on the analysis. This project uses various modules like Mediapipe and Keras for emotional analysis, OpenCV and Streamlit for making the web app and the Streamlit-WebRTC to access user's web camera for mapping facial expressions in real time. The system provides a personalized music experience which in result enhances the user's music listening experience. By analyzing the user's facial expressions, the application can identify the user's current emotional state and recommend songs that match their mood. The web app provides a simple yet user-friendly interface which allows users to easily interact with the system and listen to songs.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Open CV, Keras, Mediapipe, Streamlit, Streamlit-WebRTC

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Existing techniques in user-individualized recommendation scenarios have faced significant challenges due to the vast amount of music data and the wide variety of listening habits. Many prior music recommendation algorithms only considered temporal links between records of sequential listening, ignoring the use of other data like the artist and album. A person's mood can be controlled, and profound emotional experiences can be evoked through music. The study of music recommendation services has advanced significantly since the introduction of online streaming services. The importance of information retrieved from lyrics and acoustic content has been disregarded by contemporary methods that leverage users' listening histories to inform session-based song suggestions. We approach song prediction using a variety of modalities, such as tags, lyrics, and acoustic content. We suggest a novel approach to ensemble learning for acoustic characteristics in this study. By combining poetic and acoustic data, our model outperforms current state-of-the-art models in terms of performance. Additionally, we conduct research to determine how users' psychological well-being affects the effectiveness of our models. Particularly, a piece of music frequently originates from and is part of an album by a particular musician. Singer and album information, which is regarded as music metadata, can be used as crucial supplementary information between various music pieces and may greatly affect the user's musical preferences. In this paper, we concentrate on the sequential recommendation task for music while considering additional information, and we propose a novel Graph based Attentive Sequential model with Metadata (GASM) that uses metadata to enhance music representations and efficiently mine user listening behaviour patterns. To be more specific, we first model the relationships between various types of nodes (user, music, singer, album) using a directed listening graph, and then we utilise graph neural networks to learn their latent representation vectors. The user's musical preference is then divided into long- term, short-term, and dynamic components using customised attention networks. Finally, GASM combines three different sorts of preferences to anticipate the upcoming (new) song in line with the user's musical interests. Three real-world datasets have been the subject of extensive testing, and the findings indicate that the suggested method, GASM, performs better than baselines. From a long list of available songs, choosing one that matches a user's preferences can be challenging. The primary problem with music software recommendations is that they correspond to song recommendations. Although this might not seem to be a problem at first, any typical music recommendation engine will undoubtedly notice a pattern and provide a monotonous selection of music, disappointing the user and making them lose interest. To keep the recommendations exciting and appealing to the user's tastes, our programme overcomes this problem by mixing in fresh music from different genres that matches the user's interests. Using machine learning and KNN, we present a customised music recommendation system in this work. We suggest a collaborative filtering and content filtering recommendation algorithm for the personalised music recommendation system that combines the output of the network with the log files to recommend music to the user. User data from the log file is used by the suggested technique to generate song recommendations for each recommendation. While collaborative approaches forecast potential preferences using a matrix with scores on various songs, content-based approaches make recommendations based on the similarities between the contents or attributes of two songs.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords:- KNN, Machine learning, Collaborative filtering, GASM

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Information and communication technology have a significant role in building the new global economy and causing fast societal changes. New ICT technologies have significantly transformed people's lives during the last decade. The current era is the age of technology, and technology plays an important part in our everyday life. The present study tries to investigate the effect of technological use in the teaching-learning process on the pupil-teachers' of B. Ed institutions. The investigation carried out to find the signifcance difference among urban and rural B.Ed pupil-teachers; male and female B.Ed pupil-teachers' and science education and social sciences B.Ed pupil-teachers'.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Effect, Technology, Use, B.Ed pupil-teachers'

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our Aims to provide effective and active rehabilitation for patients suffering from upper limb paresis, using gaming based a therapy technique. By disguising the tasks into further amusing, patients are motivated to train for longer and more constantly. The advantage of this system can be a tone- managed, at- home remedy system; reducing fatigue for physical therapists, and the time needed for therapist- case sessions. The system incorporates a virtual reality (VR) terrain displaying both the games and a mortal model as feedback of the patients' conduct whilst playing the games. The game was developed, each targeting enhancement of muscle strength, control, delicacy, and speed. The difficulty of the games can be varied to suit several impairments and patient progress is covered. The games are played using a band. The successful advancements with lower costs associated with this system, are pronounced advancements for patients suffering from such an enervating condition.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Paralysis, Rehabilitation, Stroke, Upper extremity, Video games, Virtual reality.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Most of the companies had adopted work from home option due to the pandemic situation. Post pandemic employee wellbeing is the most persistent topic to all employees & employers. Employee wellbeing is a combination of work life balance & employee engagement. Employee wellbeing is a critical component of a Healthy working environment and organization. Wellbeing is referred as mental and physical health, as well as more complex things such as satisfaction & engagement level. It is the duty of the employers to provide workers with the necessary support and care for their physical & mental health. Due to pandemic situation most of the employees had an option to work from home. But post pandemic most companies are forcing employees to go to office and work. Here is where the employee wellbeing plays a vital role as the employees are finding it really hard to get back to that office culture post pandemic. So the employees have a feel that their work life balance is disturbed and employees are trying to find new techniques of employee engagement. Hence this research paper focuses on"A Study on Employee Well Being Strategies Adopted by Companies Post Pandemic" The main objective of this research paper is to 1) To understand the importance of wellbeing. 2) To know employee well being strategies adopted by companies post pandemic3) To understand the importance of employee engagement & work life balance

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: work life balance, employee engagement, strategies, employee wellbeing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The studies considered in this review of recent research on the relationship between empathy, self-efficacy and academic achievement can be divided into two stages: (1) studies in which the focus was related to the association between empathy and academic achievement, (2) studies in which the focus was related to the association between self-efficacy and academic achievement. This paper incorporates forty- two studies pertinent to the association between empathy, self- efficacy and academic achievement. Out of forty-two research studies, nine of them are from India and thirty-three are from abroad. A critical analysis of the studies reviewed has been presented as well taking into account four dimensions i.e. variables, design, participants and findings. From the studies reviewed, it was found that the recent existing literature offers a mixed result on the relationship between empathy, self-efficacy and academic achievement. Some studies depicted a significant relationship among the variables and some did not. There is a lack of consistent result on the relationship between these variables. It is argued that, in future research, more attention needs to be paid to understand the relationship between these variables.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Empathy, Self-efficacy, Academic achievement

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Intellectual disabilities of all kinds have been documented throughout history. Society has been often unkind to people with intellectual disability and sentenced them to prison or even death. However, present societies are working toward desegregation and support of intellectually disabled individuals. Intellectual disability is a generalized disorder characterized by impaired cognitive functioning. This disorder is rooted in childhood. In this study, the objectives were to study the effectiveness of life skills training on the social maturity of children with mild intellectual disability with respect to their age, to study the effectiveness of life skills training on the social maturity of children domain wise. The results are showing that pretest mild intellectual disabled children were not having IQ as high as it is posttest, which illustrates the training of children and developing their life skills.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mild, IQ, Skills, Training, Disabled, Intellectual, Impaired

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Maternal and child health is a crucial component of the healthcare system in any country, and providing quality nursing care during childbirth is an essential part of ensuring good health outcomes for both the mother and the baby. This study aims to explore the effects of implementing holistic nursing interventions on the quality of nursing care in the labor room of a selected hospital in Kerala. The study design used was quasi-experimental pretest-posttest design. The study was conducted in the labour room of Baby memorial hospital in Kerala. Total enumeration sampling was used for subject selection and the study included all registered nurses (24 nurses) who were working in the labour room of Baby memorial hospital. Data collected using a structured questionnaire to assess the knowledge about holistic nursing interventions and an observation checklist to assess the quality care in labour. The result indicated that there was a significant difference in the mean knowledge score (t=15.000, p< 0.001) in the pretest and post test among nurses in labour room and also there was significant difference in quality care in labour room (t=77.097, p< 0.001) before and after implementation of HNI in labour room.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key words Holistic nursing interventions, Quality nursing care, Labour

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Ophio-faunal diversity and composition in the Ramnagar area of Purba Medinipur District in West Bengal were studied through a survey from 1.4.2022 to 31.3.2023. A total of 4887 snakes (19 species) had been reported to have been observed by local people and staff of the forest department. Rat snakes were mostly observed, and king cobras were the least observed snakes. The diversity index of snake fauna was 2.6, species richness was 2.12, and species evenness was 0.88.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ophio-fauna Diversity, Species richness, Evenness, IUCN

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Creative Commons Attribution 4.0 and The Open Definition