Innovation in Science and Technology

Technical Skills for Enhancing Self-Employment in Brazing Among Mechanical Engineering Craft-Practice Students in Technical Colleges in Rivers State

2025-07-21T07:31:21+00:00

The study ascertained the extent to which students were exposed to technical skills during training to enhance self-employment in brazing among mechanical engineering craft-practice students in technical colleges in Rivers State. Five research questions raised and corresponding five null hypotheses formulated guided the study. The descriptive survey research design was adopted for the study. The population comprised seven trainers and three workshop attendants in four government approved Government Technical Colleges in Rivers State that offered Mechanical Engineering Craft Practice. Structured questionnaire was used for data collection; it was validated by two research experts. The data collected were analyzed using mean, standard deviation and t-test statistics. From the findings of the study, it was revealed that students were, to a high extent, exposed to all the listed items on good fit and proper clearance. Based on the findings of the study, it was recommended among other things, that the government should encourage students of mechanical engineering craft-practice who have acquired brazing skills to go into small-scale businesses after graduation, as this will enhance self-employment in Rivers State.

Innovative Workflow Automation: Enhancing Productivity in the Digital Age

2025-07-21T07:33:14+00:00

With the advent of the digital age, enterprises are facing increasingly fierce competitive environments and an urgent need to improve efficiency. Workflow automation, as a key means of enhancing productivity, is gradually becoming an important direction for enterprise management. However, traditional automation methods often have technological limitations and organizational management challenges, making it difficult to fully meet the needs of modern enterprises. Based on an in-depth analysis of the current status and challenges of workflow automation, this paper proposes a series of innovative automation methods, including intelligent process design based on artificial intelligence, innovative applications of robotic process automation (RPA), and integrated solutions of multiple technologies.

Prevention and Treatment Strategies of Viral Hepatitis

2025-07-21T07:36:06+00:00

Hepatitis is a viral infection defined by inflammation of the liver. It is a wide range of complex situations that affect and damage the liver through the short-term acute illness or a lifelong chronic infection. Viral hepatitis is the major cause of chronic liver disease that kills about 1.4 million people worldwide each year. If the disease is untreated may progress to liver cirrhosis, liver failure, and hepatocellular carcinoma (HCC). Poor sanitation and virus infected blood transfusion are the most common causes of viral hepatitis in low- and middle- income countries. Viral hepatitis is one of the emerging serious public health problems worldwide that needs special attention immediately. This study tries to discuss the aspects of viral hepatitis to reduce the global infection of this disease.

Research on Big Data-Based Decision Support System for Architectural Education Informatics

2025-07-21T07:38:11+00:00

The rapid advancement of big data technology has positioned it as a pivotal force in the educational domain, particularly in the field of architectural education. Given the dual emphasis on practicality and theory within architectural education, there is a heightened demand for scientific and precise teaching decision-making. This study focuses on the development and application of a big data-based decision support system for architectural education informatics. Through comprehensive demand analysis, the study identifies the data support and personalized learning needs of educators and students in the teaching process. The system architecture encompasses data collection, preprocessing, analysis and mining, visualization, and decision support. Empirical results demonstrate that the system effectively enhances the decision-making process for educators, optimizes teaching strategies, and improves teaching quality and student learning outcomes. Moreover, the system’s visualization and personalized learning path recommendation functions provide students with more precise learning support, thereby fostering the development of personalized and precise education.