Malaysia Journal of Invention and Innovation

Chromolaena odorata Extracts as a Bio-Organic Treatment for Downy Mildew (Peronospora belbahrii) in Basil (Ocimum basilicum)

Jacqueline Joseph — 2024-05-09

Downy mildew, caused by Peronospora belbahrii, poses a significant threat to basil (Ocimum basilicum)
crops. This study investigates the potential of Chromolaena odorata extract as a bioorganic therapy for Downy
Mildew. The goal of this research-based innovation is to determine the long-term and environmentally friendly
potential of C. odorata extract as an alternative to synthetic fungicides for controlling Downy Mildew in basil,
thereby contributing to SDGs 2 (Zero Hunger), 3 (Good Health and Well-being), and 15 (Life on Land). The leaves
of C. odorata were collected and extracted, and the bioorganic solution produced was tested for antifungal efficacy
against P. belbahrii. Next, C. odorata extracts at their respective concentrations (0.0001 g/mL, 0.0002 g/mL and
0.0003 g/mL were applied to the assigned plants within each block using the Randomized Complete Block Design
(RCBD) with three replicates per treatments. During field investigations, C. odorata extract demonstrated
significant antifungal activity against P. belbahrii. The findings suggest that C. odorata extract has potential as a
bio-organic treatment for Downy Mildew, which is consistent with SDG 12 (Responsible Consumption and
Production) by supporting sustainable farming practices that reduce reliance on chemical inputs. This innovation
is vital to modern farmers, particularly social enterprise entrepreneurs, as it facilitates healthy basil cultivation. In
a nutshell, the C. odorata extract has been evaluated for its efficacy in controlling mildew disease and has the potential
to be commercialized and marketed

Implementing Discrete Least Squares Software for Real-World Data Analysis to Find Velocity.

Mohd Agos Salim Nasir — 2024-05-09

Determining velocity accurately from real-world data is crucial in many scientific and technical fields.
However, there are many obstacles to overcome when attempting to extract accurate velocity information from
unclear or inconsistent datasets. In this research article, we provide a thorough explanation of the application of
discrete least squares (DLS) software for velocity analysis using actual data analysis. DLS provides a strong
framework for estimating velocity from continuous datasets by minimizing the sum of the differences between actual
and predicted values, using the concepts of least squares optimization. By using theoretical explanation, realistic
examples, and quantitative verifications utilizing a variety of datasets, we clarify the effectiveness and suitability of
DLS for correctly and efficiently obtaining velocity data. In addition, we go into the mathematical foundations,
computational techniques, and practical problems related to DLS implementation, offering useful knowledge.
Additionally, we go into the conceptual foundations, practical issues, and computational techniques related to the
implementation of DLS, offering insightful information to researchers as well as practitioners. This research is
significant because it has the potential to improve velocity prediction from real-world data in terms of accuracy and
dependability. This will help with decision-making and advance scientific understanding in a variety of fields. This
work advances knowledge and innovation in domains ranging from biology and economics to physics and
engineering by providing researchers with strong tools and methodologies for velocity analysis. Overall, our research
demonstrates that discrete least squares is a flexible and effective method for obtaining useful velocity information
from large, complicated datasets, providing new opportunities for investigation and learning across a variety of
fields.

Simulation Approach for Time-Distance Calculations Based on Newton Forward Divided Difference Interpolation Formula

Zubaidah Sadikin — 2024-05-09

i-Dash is an innovative application designed to revolutionize the estimation of distance traveled by
implementing sophisticated mathematical models such as the Newton Forward Divided Difference Interpolation
Formula. By integrating this formula within its graphical user interface (GUI), i-Dash addresses the challenges
associated with manually determining optimal routes, offering users enhanced journey experiences and enabling
industries to achieve heightened cost, time, and operational efficiencies. Through its utilization of mathematical
algorithms, i-Dash dynamically derives a distance function based on time and distance data, providing precise
estimations of distance traveled. This approach not only improves the accuracy of estimations but also enhances user
experience and facilitates decision-making processes. Leveraging i-Dash's capabilities, users can navigate complex
routes with confidence, while industries benefit from optimized logistical planning and resource allocation strategies.
Furthermore, i-Dash's innovative approach contributes to advancements in transportation technology and
underscores the importance of mathematical modeling in solving real-world problems. The Newton Forward Divided
Difference Interpolation Formula has been widely recognized for its effectiveness in estimating functions from
discrete data points, making it a suitable choice for i-Dash's distance estimation functionality. Additionally, the
significance of graphical user interfaces in simplifying complex tasks and improving user accessibility further
validating i-Dash's approach to enhancing journey experiences through its intuitive interface design.

Unveiling Area Estimation through Newton's Forward Divided Difference Method

Nurzalina Harun — 2024-05-09

In this era of globalization and technological advancements, Malaysia stands out as a vibrant hub for
innovations and technology, along with an entrepreneurial spirit. However, it appears that there will be occasions
when the creation of software demands resources such as money, time, and workforce to provide quality to the user,
but it is unlikely to be able to reach the ideal evolution. In this research study, a potentially novel technological
interface named AppleMath will use a mathematical method called Newton's Forward Divided Difference
Interpolation as a framework for area estimations. Nonetheless, there have been a few difficulties in developing this
operating system: The technological industry is always evolving and there are numerous enhancements available to
keep up with the newest software developments. It is difficult to monitor safety breaches to secure all user’s
information. This is due to different malicious programs and viruses growing increasingly damaging, leaving it
incredibly difficult for designers to find vulnerabilities in the application's safety breaches. Requests from users of
this prospective software are constantly shifting, making it difficult to keep track of their personal preferences.
Fortunately, there are answers to these problems: The program designer must stay up to date with the latest
developments in the current programming advances. Additionally, creators of software must keep current with the
most recent security patches to guarantee all users' information has been safeguarded. Software engineers must
continually study evolving technological difficulties since needs change swiftly over time. The invention of this
virtual interface has significance for the community since it provides practical applications for individuals amongst
learners, particularly in the architectural and building professions, allowing them to explore while performing
effectively in everyday situations. AppleMath can give a prominent platform for the public to use for educative
reasons, hence achieving commercialization interest eventually.

An Overview on the Intellectual Properties of the Fisheries Research Institute, Department of Fisheries, Malaysia

Liyana Ramli — 2024-05-09

Intellectual creation, namely inventions, designs, literary works, artistic works, symbols, names, images,
computer code, etc. is commonly relates to Intellectual property (IP). IP is one of the significant outputs of the
research institution including at the Fisheries Research Institute (FRI), Department of Fisheries Malaysia.
Awareness on IP generation and registration were only initiated in 9th Malaysian Plan (2006-2010) and starting
from 10th Malaysia Plan (2011-2015), IP generation is one of the KPI that needs to be achieved by the FRI. Until
March 2024, a total of 55 R&D innovations have been registered as IPs in various categories such as patents (11),
utility innovations (10), trademarks (8) and copyrights (24) and 40 of them has been granted. For the past 15 years,
the FRI has made provisions in generating and facilitate IP registration with the aim of getting them commercialized
to help boosting the fisheries industries in Malaysia. There are great deals remain to be done particularly on
establishing a comprehensive and specific internal IP strategy to help FRI in identifying and protecting the IPs,
manage risks, promote IPs and, most importantly, generate and grow revenue.

Investigating the Potential of GDC Electrolyte for High-Efficiency ITSOFC Applications: Short Review

Mohammad Fikrey Roslan — 2024-05-09

Solid Oxide Fuel Cells (SOFCs) hold immense promise for clean and efficient power generation. However, conventional high-temperature SOFCs require operating temperatures exceeding 800°C, leading to material degradation and increased system complexity. Intermediate-Temperature SOFCs (ITSOFCs) offer a compelling solution, operating at lower temperatures (500-700°C) with benefits like faster startup, improved durability, and reduced system costs. A critical factor for achieving high efficiency in ITSOFCs is the electrolyte material. Gadolinium-doped Ceria (GDC) emerges as a promising candidate due to its high ionic conductivity at lower temperatures. This review explores the potential of GDC as an ITSOFC electrolyte, examining its advantages in conductivity, compatibility with operating temperatures, and its impact on overall cell efficiency. We discuss the challenges associated with GDC, such as limitations in achieving dense thin films and potential degradation issues. Additionally, the review highlights ongoing research efforts to address these challenges, including co-doping strategies and advanced thin film deposition techniques. By overcoming these obstacles, GDC-based electrolytes have the potential to revolutionize ITSOFC technology, paving the way for a more commercially viable and environmentally friendly future for fuel cell technology.