Volume 12 | Issue 4

 Abstract

The adoption of cloud computing within educational environments has become pivotal in enhancing not only learning experiences but also operational efficiency (Lopez & Gresham, 2021). Microsoft Azure, as a leading platform in this transformation, exemplifies the integration of cloud technologies in education. This paper delves into the various ways in which Azure is utilized in educational settings, highlighting its role in facilitating a more dynamic and accessible learning landscape. Through Azure, institutions are able to deploy and manage applications seamlessly, scale educational resources flexibly, and enhance collaborative learning across geographically dispersed students and faculty (Patel & Smith, 2022). The significance of Azure in education lies in its robust infrastructure which supports a wide range of educational tools and platforms that adapt to diverse learning and teaching needs. Furthermore, Azure's analytics services provide educators with critical insights into student engagement and learning outcomes, enabling more informed decisions and personalized learning pathways (Turner, 2023). The deployment of Azure in education not only democratizes student access to cutting-edge technologies but also optimizes institutional operations, reducing costs and improving administrative efficiencies. This paper explores these dimensions of Azure's impact, drawing on various case studies and academic evaluations. The integration of Azure into educational frameworks represents a transformative shift towards more agile and responsive educational environments, suggesting a broader trend of digital transformation in the sector.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Education, Azure, Cloud Computing

  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

"LTA", "Photoluminescence", "PXRD", "Etching Ananlysis", "Optical Transperency", "Optoelectronical Devices"

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The study was conducted to investigate to see the "Influence of Play therapy in enhancing Motor Skills among Children with Intellectual Disabilities". The sample consists of children with moderate intellectual disability age ranging from 7-14 years. Size of the sample consist 10 subjects. They were randomly assigned into experimental and control groups. Each group consists of five subjects. For conducting the study, Pre-test Post-test Control Group Design was used. The students in the experimental group were taught Play Therapy with colourful materials and control group were taught through conventional method. The results indicated that there is a significant improvement in enhancing Gross Motor Skills and Fine Motor Skills. In addition, the rate of training among the students in experimental group was higher than the control group. From the results it is evident that the children who were taught through Play Therapy have achieved higher score than the children who were taught through conventional method

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Play Therapy, Gross Motor, Fine Motor, Moderate Intellectual Disability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The intersection of satellite imagery analysis and transmission line monitoring offers a transformative approach to vegetation management in power infrastructure. This study employs the YOLOv8 algorithm to detect and analyze trees encroaching upon transmission lines, leveraging the high-resolution capabilities of satellite imagery. By automating the identification process, this methodology enhances the efficiency and accuracy of vegetation monitoring, enabling proactive maintenance to mitigate potential risks to the transmission network. Through the integration of advanced technologies, such as machine learning and remote sensing, this research aims to optimize infrastructure resilience while ensuring uninterrupted power transmission. Furthermore, this abstracted approach not only streamlines vegetation management processes but also contributes to the overall reliability and safety of transmission infrastructure. By harnessing the power of satellite imagery and machine learning algorithms, utility companies can effectively identify and address vegetation encroachments in a timely manner, minimizing the risk of outages and enhancing system resilience. The proactive nature of this methodology enables utilities to prioritize maintenance efforts, allocate resources efficiently and ultimately improve the reliability of power transmission networks in the face of dynamic environmental challenges.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transmission line, python, agriculture, machine learning, yolov8, HTML

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) stands as one of India's most significant social welfare initiatives, aiming to enhance rural livelihoods and prevent distress migration. However, the effectiveness of MGRREGA in curbing rural-to-urban migration remains a subject of debate and needs to be studied systematically. This paper tries to analyse the effectiveness of MGNREGA in controlling rural migration based on the review of the literature. It is found that MGNREGA has contributed positively to mitigating rural distress and reducing migration in certain contexts. There are some challenges in realizing its full potential.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MGNREGA, rural migration, livelihoods, rural development, India

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Autism Spectrum Disorder (ASD) is a complex neuro developmental condition characterized by challenges in social interaction, communication, and repetitive behaviours. Early detection and intervention are crucial for improving outcomes and quality of life for individuals with ASD. In recent years, deep learning techniques have shown promising results in various medical applications, including disease prediction. Here, we have proposed a deep learning-based approach utilizing Alex Net to focus on feature selection and extraction techniques for the effective detection of ASD using Magnetic Resonance Imaging (MRI)data. At first, the MRI datasets are taken from kaggle.com are preprocessed and segmented. Then, an Alex Net architecture is designed and trained to effectively capture intricate patterns and relationships within the data for accurate prediction of ASD. The proposed deep learning model demonstrates superior performance compared to traditional machine learning methods and baseline models in ASD prediction. Through extensive experimentation and evaluation, the model achieves high accuracy in identifying individuals at risk of ASD. Future research directions may focus on refining the model architecture, incorporating multimodal data sources, and deploying the system in clinical settings to validate its efficacy and real-world utility.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Alex Net, Autism Spectrum Disorder (ASD) , Deep Learning, , Magnetic Resonance Imaging (MRI)

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study was conducted to investigate learning first aid for burn management through video-based instruction among children with mild intellectual disability. The sample consists of children with mild intellectual disability age ranging from 11-14 years. Sample was drawn from "Skills and Ability School", Mulund West, Mumbai. Size of the sample consists 10 subjects. They were randomly assigned into experimental and control groups. Each group consists of five subjects. The students in the experimental group were taught first aid for burn management through Video Based Instruction and control group were taught through conventional method (using flash card and worksheets). Intervention was carried out for 15 sessions. The results indicate that there is a significant improvement in learning First aid for Burn Management. In addition, the rate of learning among the students in experimental group was higher than the control group. From the results it is evident that the children who were taught through Video have achieved higher score than the children who were taught through conventional method. Video had created interest, eagerness and motivation in children with mild Intellectual Disability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

First Aid, Video-based Instruction, Intellectual Disability

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lebanon is currently experiencing a multifaceted crisis that encompasses economic collapse, political instability, and social upheaval, posing significant challenges for the country's population and its future. This paper examines the root causes and impacts of the ongoing crisis, including the severe depreciation of the Lebanese pound, hyperinflation, and the breakdown of the banking sector. Additionally, the study explores Lebanon's sectarian political system, which has been marked by corruption and inefficiency, further hindering effective governance and reform. The paper also considers the humanitarian crisis stemming from widespread poverty, food insecurity, and lack of access to essential services. Moreover, the research assesses the impact of regional conflicts, particularly the Israel-Palestine conflict, on Lebanon's security and stability. By providing an in-depth analysis of the complex interplay between these issues, this paper aims to offer a comprehensive understanding of Lebanon's crisis and its implications for regional and international stakeholders. Possible pathways for recovery and potential areas for international assistance are also discussed, emphasizing the need for sustainable solutions to address the underlying causes of Lebanon's distress

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Humanitarian Law, Social Inrest, Economic Distress, Political Distress, Lebanon Crisis, Historical Implications

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Since collapse might harm public safety and the economy, building and construction structures must be maintained. Critical structures need periodic inspections to fix issues. Visual examination is tough and knowledge-intensive yet recommended. Better, more reliable monitoring is needed. The study uses high-frequency monitoring to discover structural problems low-frequency methods overlook. PZT patches detect and create signals. These patches can detect small structural behaviour changes that indicate problems. Check structural data against prior data to find research gaps. In this study, high-frequency EMI methods identify minute structural differences. We tested our methods in a scaled reinforced concrete lab. Computer models described observable phenomena for experimentation. Computational models anticipate damage and fracture propagation. Compared to empirical testing, predictive testing saves time and money. Computational modelling can assess structural typologies' environmental and fracture propagation mechanical responses. This study implies computational tools improve structural monitoring and construction engineering.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Structural health monitoring, Smart structures, Sensor technology, Numerical Simulation, Automated inspection.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the today's modern era, Human life style has been completely changed and it is full of competition and advance technologies. Nowadays use of computer, Internet surfing is common and many computer users have Computer vision Syndrome (CVS); its temporary condition resulting from focusing the eyes on a computer display to protected, uninterrupted period of time. According to the National Institute of Occupational Safety and Health, CVS affects about 90% of people who spend 3 hours or more per day at a computer. Ayurveda refers treatments for CVS is Netra Tarpana, Netra Dhara, Nasya, Shirodhara, Shiro Abhyangam, Shiro pichu, Pada Abhyanga. Asanas, Pranayama and all the yogic practices had a definite purpose. The focusing exercises and Trataka improve the ability to make visual adjustments, the accommodation reflex and concentration and help to stimulate as well as relax the eye muscles. The palming, blinking and splashing exercises relax the eye muscles. Vision is our primary connection with this world. With the help of eyes, we can interact with our surroundings in more than a million ways every second. Computer, the knowledge bank of modern life, has emerged as a profession causing vision related discomfort, ocular fatigue, and systemic effects. Computer Vision Syndrome (CVS) is the new nomenclature to the visual, ocular and systemic symptoms arising due to the long time and improper working on the computer and is emerging as a pandemic in the 21st century. Approximately 60 million people suffer from Computer Vision Syndrome globally, which leads to a decrease in productivity at work and Quality of life. Computer vision syndrome (CVS) is a condition resulting from focusing the eyes on a computer or other display device for protracted, uninterrupted periods of time. Research shows that between 50% and 90% of people who work at a computer screen have at least some symptoms. Dry eye is a major symptom that is targeted in the therapy of CVS. It is not a very dangerous issue but can cause serious problems; if not get the attention at the time. The goals of Ayurveda treatment for CVS include correcting the vitiation of Vata dosha in body and in the eyes also, relieving the symptoms of dry eyes and correcting the digestive fire and encourage lubrication in the body. The Acharyas have armed us with proper knowledge of Ayurveda to prevent & treat lifestyle disorders related to eye diseases; through explanation of Swasthavritta rules (specially mentioned as Dinacharya) & Yogic practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Computer Vision Syndrome (CVS), Quality of Life, Vata dosha, Dry eyes, Ayurveda, Swasthavritta, Dinacharya, Yogic practices.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A transdermal patch is a medicated adhesive patch applied to the skin to allow a specified drug dose to be absorbed into the bloodstream through the skin. This frequently encourages the healing of a body part that has been hurt. A transdermal patch offers a controlled release of the medication into the patient, typically through either a porous membrane covering a reservoir of drugs or through body heat melting thin layers of medicine embedded in the adhesive. This is an advantage of transdermal drug delivery over other types of medication delivery, such as oral, topical, intravenous, intramuscular, etc. Transdermal medication delivery allows for a constant blood level profile and regulated drug release into the patient, reducing systemic side effects.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transdermal system, Matrix system, Reservoir System

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Anjeer, or Ficus carica Linn., is indeed a versatile fruit with a rich history in traditional Unani medicine. Its diverse pharmacological activities make it valuable in treating various health conditions. Apart from its medicinal benefits, Anjeer is also packed with essential nutrients, making it a nutritious addition to one's diet. This review aims to shed light on both the medicinal and nutritional properties of Anjeer, emphasizing its potential health benefits for people. The traditional uses in Unani medicine, its pharmacological activities, and its nutritional composition. Anjeer appears to be a versatile fruit with antioxidant, anti-cancer, anti-tuberculosis, antispasmodic, hypoglycemic, hypolipidemic, antipyretic, hepatoprotective, and antimicrobial properties. Additionally, its high content of phytochemicals and nutraceuticals contributes to its nutritional value and potential immune-boosting effects. Overall, Anjeer seems to offer a range of health benefits and could be a valuable addition to one's diet and wellness routine.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Ficus carica linn , Unani medicine , Pharmacological activities , Nutritional value , Health benefits

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The review is based on the literature on manufacturing-related humanoid robots. A compelling argument is made for the subjects related to human-robot interaction. This included a discussion of control methods for humanoid robots that is used in manufacturing after discovering that vision is the most common perception system among sensor heads for these kinds of robots. Thus offer historical context and information on the creation and uses of robotic heads today. When feasible, information is arranged chronologically to highlight trends in control methods, mechanical architecture, scholarly publications, and general philosophy and discovered there are two primary humanoid robot heads that we suggest categorizing as either non-expressive face robots or heads, or robot heads with expressive faces. By this we present their own features and offer a few humanoid robot heads used in human-robot. Robots that can move on their own to achieve their objectives are called mobile robots. An overview of these robots with a focus on manufacturing applications is given in this study. It explains the many types of mobile robots that are employed as well as the standards that should be met when choosing to deploy mobile robots.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Advance applications, Fundamental ideas, Human robot interaction, Introduction

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study is to find out how well internal auditing works in industrial sectors to improve performance and reduce risks. This study examines many aspects of internal auditing, such as its function in financial control, operational effectiveness, and regulatory compliance, by undertaking an extensive analysis of the literature. Important elements including competency, independence, and quality of internal auditing are looked at to see how they affect the performance of the organization. Also, this study evaluates how well internal audit procedures--risk assessment, audit planning, execution, and reporting--are implemented in order to ascertain how well they work to handle new opportunities and problems in industrial contexts. It also discusses how technology and data analytics can improve internal audit capabilities, highlighting how important they are for spotting fraud, identifying abnormalities, and strengthening decision-making procedures.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial integrity, operational efficiency, risk minimization, organizational success, internal audits, manufacturing industries, and regulatory compliance.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence technologies have revolutionized the way we create and manipulate audio, video, images, and text. One of the most notable applications is deepfake content, which uses sophisticated techniques to generate convincing simulations of reality. However, researchers have been developing methods to detect and identify deepfake audio, thus enhancing security in various fields such as media forensics and authentication systems. One such method involves leveraging Mel Spectrograms and Convolutional Neural Networks (CNNs). Mel Spectrograms are visual representations of audio signals that display the frequency components over time. By analyzing these spectrograms, CNNs can be trained to identify patterns and anomalies that indicate artificial alterations in audio content. To develop an effective deepfake detection system, researchers utilized a dataset called Fake-or-Real, which contains a mix of real and deepfake audio samples. The dataset is classified into sub-datasets based on audio length and bit rate, providing a diverse range of samples for comprehensive model training. The trained CNN model can accurately distinguish between real and deepfake audio by identifying subtle or irregularities left behind by deepfake creators. These discrepancies serve as indicators of manipulation and help enhance audio security by automating the detection process. By integrating Mel Spectrograms and CNNs, this approach represents a significant advancement in combating deepfake technology. It offers a promising solution for organizations and individuals looking to protect against misinformation, fraudulent recordings, and other forms of audio manipulation. Moving forward, continued research and refinement of these techniques will further bolster trust and integrity in audio content across various domains, ensuring a safer and more secure digital environment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deepfake Audio Detection, Mel Spectrogram, Convolutional Neural Network

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents a comparative analysis of water quality parameters in urban sites, focusing on the Surma and Kushiyara rivers in Bangladesh. Water samples collected from 2010 to 2013 during rainy and winter seasons were analyzed for key parameters including temperature, pH, Dissolved Oxygen (DO), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Total Solids (TS), Total Dissolved Solids (TDS), and Suspended Solids (SS). Statistical tests, including Independent Sample t-test and Paired t-test, were employed to evaluate differences between the two rivers. By paired t test, it is found that statistically significant difference exists between temperature, DO, TS and TDS in rainy and winter seasons for the Surma river. For the Kushiyara river, temperature, pH, DO, TS, TDS and SS showed statistically significant difference among rainy and winter seasons. The independent t test among the Surma and the Kushiyara rivers water quality parameters, revealed that only temperature of winter seasons showed statistically significant difference, but all other water quality parameters showed statistically no significant difference between them.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Kushiyara, Independent t Test, Paired t Test, pH, Rainy Season, Surma, Suspended Solids (SS), Temperature, Total Solids (TS), Total Dissolved Solids (TDS), Water Quality Parameters and Winter Season.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The fusion of Infrared technology with Raspberry Pi Pico in this novel underwater communication system represents a paradigm shift in addressing the challenges of underwater data exchange. By harnessing the unique properties of Infrared light, which exhibits minimal attenuation in water, the system achieves efficient transmission over short distances, where traditional wireless methods falter. Raspberry Pi Pico's affordability and versatility empower the system as a cost-effective control unit and data processing platform, enabling modulation of data into IR signals for transmission. This breakthrough not only revolutionizes communication in fields like oceanography, marine biology, and military operations but also paves the way for enhanced capabilities in underwater robotics, where real-time data exchange is pivotal. Beyond its immediate applications, the system's scalability offers promise for broader deployment, facilitating collaborative research endeavors and contributing to a deeper understanding of the underwater world. In essence, the IR Wireless Underwater Communication System utilizing Raspberry Pi Pico embodies innovation at the intersection of technology and exploration, heralding a new era of connectivity beneath the waves.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Underwater communication, Infrared technology, Raspberry Pi Pico, microcontroller, Data transmission.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract : The most common problem suffered by individuals everywhere over many centuries is cough. Coughing is the protective mechanism of the body. Coughs are classified further accordingly which are depending upon factors such as signs and symptoms, duration, type, character, etc. The most commonly used, prepared and popular dosage form to cure cough and cold is syrup. Syrup is a very popular dosage form of cough and cold medications, which eases patient compliance. By adding the decoction of herbal drugs with a base of honey is helpful to the formulation thick and preserve the formulation. The quality of the final herbal cough syrup was evaluated with parameters such as physical appearance colour, odour, taste, pH, and viscosity. It was found that antitussive activity produced by the herbal formulation in the minimum dose was much better than the standard drug.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal treatment, Cough, Antimicrobial activity, Honey base.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Organ shortage has been a large issue all over the world, almost for as long as there have been organ transplants. Other than the straightforward issues like the organs not matching between the donor and the recipient, limited availability of suitable donors, logistic problems involved with the transplantation procedure etc., another large problem is the sociological perspective on organ transplantation and donation amongst the potential organ donors. People can, for an array of reasons, be for or against organ transplantation and donation, and that is what this study tries to research. It focuses on eight individuals from Serbia, and their views and opinions on the procedure. It attempts to understand why they think in that way, with the help of five aspects the gift, social capital, religion, planned behaviour and information. It also delves into participants' attitudes towards the new law on organ transplantation in India. The study infers about social perspectives of organ donors indicate they do volunteer works for charity and whenever they found a person need help, they will support immediately as per their convenience. In addition, they donate blood for needy people and goods/clothes to charity. Therefore, they allow people to go ahead of them in a queue, they also offer their seat in a bus or train to a stranger who is standing and they give lift in their car/bike to a stranger. Thus, organ donors are willing to donate their family member's organs after their death and willing to discuss about organ donation with their family members. Thus, they are willing donate their organs after their death, in case if anyone of their family members not willing to donate their organs, they will try to convince them, but any person can change his/her decision after signed for organ donation. Therefore, they are willing to sign as an organ donor in their driving license if requested in future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social perspectives, organ donation, religious beliefs.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates the link between financial fitness and investment evaluation among IT employees, highlighting the impact of financial literacy on their investment choices. Focusing on IT professionals in Coimbatore City, findings reveal a moderate level of financial understanding and a cautious investment approach, despite a keen interest in financial security. A significant gap in grasping complex financial concepts suggests the need for targeted financial education. Enhanced financial literacy is proposed as a means to boost confidence in investment decisions and navigate market volatilities more effectively.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial decision making, investing preferences, risk tolerance.

  License

Creative Commons Attribution 4.0 and The Open Definition