Volume 14 | Issue 4 |

 Abstract

Harmful algal blooms (HAB) pose increasing threat to coastal areas with climate change and global warming intensifying their impact. The aquatic ecosystem is one among the most severely affected specifically marine life. Aquaculture is increasingly vulnerable to the consequences of HAB's. This proposal introduces a Bayesian decision model for assessing harmful algal bloom (HAB) risk in aquatic systems under climate-driven warming, enriched with a Viveka (discernment) which is inspired by Shanti Parva from Mahabharata. Beyond standard probabilistic updating, the model includes a meta-judgment module that adjusts evidence based on its reliability, context, and consistency. This enables refined, wise decision outputs like warnings. This paper elaborates the model's structure, assumptions, and decision logic, without performing experimental regulation.

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 Keywords

HAB, Viveka, Bayes, Algal Blooms

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 Abstract

Career maturity is the level of awareness over various careers, desired attitude towards careers or work and competence in career understanding. It plays a crucial role in the vocational life individuals. Choosing the right career according to the skills set and aptitude of the students is very vital for career advancement. This study is a survey and experimental based study aims to find out the level of career maturity among higher secondary student in Puducherry and developing an interventional career awareness program for the students to foster career maturity among students. A sample of 320 higher secondary students is surveyed for their career maturity and 40 students were employed in pre-test post-test single group experimental design with and two session interventional program on career awareness. Findings of this study reveals that level of career maturity among higher secondary student is average with need for creating awareness. Gender, year of study and type of school have influence over career maturity and stream of study doesn't influence over career maturity among higher secondary students. Pre- test post-test interventional design indicate that their increase in awareness about various careers and its nature after the students exposed to two hours session. This study concludes that there is need for career awareness programs in higher secondary schools in Puducherry as the level of career maturity is average. Strategies to develop career maturity among higher secondary students is discussed.

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 Keywords

Career maturity, higher secondary school students, career maturity fostering strategies

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 Abstract

The implementation of the proposed real-time measurement system integrates advanced machine learning, sensor data processing, and an interactive mobile user interface to deliver an efficient and accurate measurement solution. The system is built upon a pre-trained YOLOv5 object detection model, with the flexibility for custom training using datasets such as COCO to improve detection accuracy for domain-specific applications. Careful tuning of training parameters and evaluation using metrics like precision, recall, F1-score, and mean average precision (mAP) ensures reliable model performance. To enable real-time execution on mobile devices, the model undergoes optimization techniques including quantization, pruning, and hardware acceleration, significantly reducing computational complexity while maintaining accuracy. The integration of smartphone sensors, particularly the accelerometer, allows continuous real-time capture of device orientation data, which is processed and synchronized with the camera feed to support accurate depth estimation. The system also features a well-designed user interface that overlays detection results and measurement outputs directly onto the live camera view. Real-time visualization of object dimensions, along with user-controlled inputs such as device height, enhances usability and measurement precision. Overall, the implementation ensures low latency, high responsiveness, and a seamless user experience, making the system robust and suitable for real-world mobile application.

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 Keywords

Real-time measurement, object detection, YOLOv5, machine learning, mobile application, sensor integration, accelerometer data, depth estimation, model optimization, quantization, computer vision, real-time processing, user interface, bounding box detection, and mean average precision (mAP).

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Enhancing convective heat transfer while maintaining an acceptable pressure drop is a critical requirement in compact heat exchanger design. In this study, an air-side passive enhancement technique is examined using sinusoidal fins integrated with surface dimples through a comparative CFD analysis of three configurations: plain, elliptical dimpled, and circular dimpled fins. The geometries are created in SolidWorks and simulated in ANSYS Fluent under steady-state turbulent flow conditions for inlet velocities ranging from 1 to 2.5 m/s. The results indicate that the addition of dimples significantly improves heat transfer performance compared to the plain fin. Among the tested configurations, the circular dimple exhibits the highest enhancement of about 18-20%, while the elliptical dimple shows an improvement of approximately 16%. This enhancement is mainly due to increased turbulence intensity, improved fluid mixing, and disruption of the thermal boundary layer. The Nusselt number also increases for both dimpled cases, confirming the improvement in convective heat transfer. However, this benefit is accompanied by an increase in pressure drop, where the elliptical dimple results in a higher rise of about 10.6%, while the circular dimple shows a relatively lower increase of 7-8%. Overall, the circular dimpled sinusoidal fin provides a better balance between heat transfer enhancement and pressure loss, making it more suitable for compact heat exchanger applications.

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 Keywords

Sinusoidal fin, dimpled surface, elliptical dimple, circular dimple, heat transfer enhancement, Nusselt number, pressure drop.

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 Abstract

Mobility for the elderly and visually impaired is often hindered by environmental hazards that traditional white canes cannot detect. This paper presents Vision Mate, an intelligent walking stick designed to enhance spatial awareness and safety through Deep Learning and IoT integration. Utilizing an ESP32 microcontroller, the system employs dual ultrasonic sensors for multi-level obstacle detection-- targeting both head-level hazards and ground-level slopes. Furthermore, the integration of an MPU6050 sensor enables real-time fall detection, while a dedicated SOS button provides manual emergency signaling. Experimental results indicate that the system successfully bridges the gap between physical navigation and digital safety monitoring by providing instantaneous alerts to caregivers via Wi-Fi.

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 Keywords

Smart Stick, ESP32, Ultrasonic Sensor, MPU6050, IoT Healthcare.

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Attention-Deficit/Hyperactivity Disorder (ADHD) significantly affects not only children but also their caregivers, particularly parents who experience persistent stress and psychological burden. The present review synthesizes empirical and theoretical literature on parental locus of control, coping strategies, and parenting self-efficacy in the context of ADHD and related developmental conditions. The paper examines how these constructs interact to influence parental well-being and child outcomes. Evidence suggests that an internal locus of control and adaptive coping strategies are associated with higher parenting self-efficacy and better psychological adjustment. Furthermore, resilience and social support play mediating roles in these relationships. The review highlights gaps in culturally diverse research and emphasizes the need for context-specific interventions, particularly in non-Western populations such as India.

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ADHD, parenting self-efficacy, locus of control, coping strategies, parental stress

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 Abstract

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Aluminium, Fluoride, Moringa oleifera, Albino Rat, SGPT, SGOT, ALP.

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Gas Turbine Blade, Surface Dimples, Heat Transfer, CFD Analysis, Nusselt Number, Cooling Performance.

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ABSTRACT: Introduction: Cardiovascular diseases are creating the major health burden worldwide. Among them coronary heart disease is the major cause of mortality. The changing lifestyle is a contributing to the CHD which could be prevented by modifying the diet such as antioxidant diet. Aim: To study to assess the effectiveness of structured teaching programme on knowledge regarding antioxidant diet among cardiac patients in the Selected hospitals of Jalandhar, Punjab. Methods: A Quantitative research approach with quasi-experimental non randomized pre-test post-test control group design was used for the study. Total 60 cardiac patients were selected for study 30 were taken as experimental group and 30 as control group using non-probability purposive sampling technique. The self-structured knowledge questionnaire was used to assess pre-test knowledge and after providing structured teaching programme the post-test was conducted on 7th day using same tool for assessing knowledge regarding Antioxidant diet. Results: Finding revealed that the comparison of pretest and post-test knowledge score of cardiac patients among experimental and control group. In the control group, there was no significant (tcal 12.914 at p<0.05) difference between pretest and post-test knowledge score of cardiac patients. There was significant (tcal 12.914 at p<0.05) difference between pretest and post test knowledge score of cardiac patients in the experimental group significance. Conclusion: The study concluded that structured teaching programme had significant influence on improving knowledge of cardiac patients regarding antioxidant diet.

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 Keywords

Keywords: Antioxidant diet, knowledge, effectiveness, structured teaching programme, cardiac patients.

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The construction industry plays a crucial role in fostering economic development by making substantial contributions to the expansion of infrastructure and overall national advancement. Nevertheless, the effectiveness and efficiency of construction labourers continue to be crucial elements in determining the success of a project and its overall performance. Efficiently managing labour is crucial in an industry with strict timetables and limited budgets, as it is essential for delivering desired project outcomes. The primary objective of this study is to investigate the influence of training and development programs on the efficiency of construction labour and the outcomes of projects. The study utilises a qualitative research methodology. This study employed a conceptual research approach, which entailed a thorough examination of articles, periodicals, and books published in the English language from 2019 to 2024. The goal was to synthesise information on the impact of training and development on employees' productivity, drawing insights from existing studies. This study highlights the significance of training and development programs in improving the skills, knowledge, and productivity of construction workers. These programs aim to provide labourers with up-to-date skills, safety protocols, and technological improvements, resulting in a more skilled and productive workforce. Such programs have a wide-ranging impact that goes beyond the performance of individual workers. They also affect project schedules, cost-effectiveness, and the quality of outputs. In conclusion, this study will provide essential knowledge about how training and development may improve the productivity and effectiveness of the construction workforce. It will emphasise the most effective methods and provide ways for industry stakeholders to enhance project performance.

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 Keywords

Training; Development; Project performance; Labour Efficiency; Skill development; Construction Industry.

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Creative Commons Attribution 4.0 and The Open Definition