Physical Sciences and Engineering

Development of gamified learning modules for child rights education

This research article explores the development and impact of a gamified platform aimed at increasing legal literacy and awareness about children’s rights among children. Despite significant legal frameworks established to protect and promote children’s rights, awareness and understanding of these rights among children still need to be improved. The gamified platform seeks to bridge this gap by making legal education accessible, engaging, and age-appropriate through interactive games and storytelling.

The impact of online teaching on language learning in Iraq during covid19

The whole world was taken in by surprise with the Covid 19 pandemic, Iraq and its educational institutions are no exception. During that period most institutions closed and tried to implement some kind of Distant Learning, Online Learning or Blended Learning to avoid the spread of the pandemic. This study tries to explore the impact online teaching had on the learners’ outcome by comparing the overall results of students in the first official exam (Intermediate) before Online Learning and after online learning during the pandemic.

Assessing algorithms for sugar cane pest and disease detection: a developmental perspective

Sugarcane pest and disease detection consider techniques in precision agriculture that would not only be expected to maintain the crops' health but even improve their yields. This research proposes assessing the various detection algorithms for their efficiency in detecting and classifying sugarcane diseases, including Deep Learning (CNN, ResNet, YOLO), Machine Learning (SVM, Random Forest, K-NN), Image Processing, and Hybrid Approaches.

Analysis of competitive and cooperative relationships among securities companies based on the 3-species lotka-volterra model

There exists an analogical relationship between ecosystems and securities markets. The concept of an ecosystem in the context of capital markets pertains to the intricate relationships and interactions among diverse participants and their surrounding environments. The dynamics of competition and cooperation, transparency, and stability within the securities market are pivotal factors influencing market health and efficiency.

Fruit classification algorithm design based on improved yolov8

Fruit classification plays a pivotal role in the fruit industry. Traditional fruit classification methods rely heavily on manual inspection, which significantly hampers the accuracy and efficiency of harvesting. The advent of deep learning algorithms has empowered robots to classify fruits more swiftly, thereby enhancing picking efficiency. In this paper, we propose a deep optimization target detection algorithm based on the YOLOv8s framework to improve the accuracy and efficiency of fruit classification.

Design and fabrication of irrigation pump operated by air pressure

Ever increasing fuel price and unreliable electricity supply hamper irrigated crop production. Pressurized Air operated pump may be one of an alternate the electric motor operated pumps for irrigated crop production in the country. In this project we tried to develop an “IRRIGATION PUMP OPERATED BY AIR PRESSURE”. The main objective of this project is to develop an economical Irrigation pump which can be operated by compressed air. Generally, the reciprocating pump operated with compressed air, this project is an attempt to operate centrifugal pump with compressed air.

Neutrosophic expansion and fixed point result for neutrosophic expansion on neutrosophic metric space (nms)

Kirişci M., Simsek N., Akyigit M.(21) have established fixed point result for neutrosophic Banach contraction. The aim of this paper is to put the notion of Neutrosophic Expansion on Neutrosophic Metric Space, and to prove a fixed point theorem for a Neutrosophic Expansion mapping.

Explainable ai in ml: the path to transparency and accountability

This paper introduces Explainable Artificial Intelligence (XAI) as a requisite solution for increasing the interpretability and trustworthiness of ML systems. This paper explores the importance of XAI through case studies in two key sectors: manufacturing and healthcare. The first case relates to a predictive maintenance application that uses XAI to anticipate the likelihood of machinery failure using a gradient-boosting decision tree, which provides detailed recommendations for optimizing productivity. The second case study is based on the healthcare sector.

Design and develop a thesis and capstone project manuscript archiving management system for eastern visayas state university ormoc campus

Digital archiving is a replacement for the traditional paper archive as it serves the same purpose of preserving and protecting documents created in a digital format. In this study, we design and developed a manuscript online digital archiving management system for the Eastern Visayas State University Ormoc Campus. The system addresses the challenges related with traditional hardbound kept in a designated place by the department and library.

The new social gap of the 21st century digital illiteracy

Over the past four decades, society has undergone a profound transformation, largely driven by the democratization of technology. This process has not only reshaped the technological infrastructure but has also significantly altered social, educational, and cultural landscapes. The introduction of personal computers (PCs) into homes and educational settings during the 1980s represents a key milestone in this evolution.