ISSN:2320-9151 Impact Factor:3.5

Volume 12, Issue 4, April 2024 Edition - IEEE-SEM Journal Publication

Predictive interactive associate of Monoamine Oxidase-B inhibitors and role of PARK7 in Parkinson’s disease.PDF

Nimra Mehmood Malik , and Maria Zeb

Background: Parkinson’s disease (PD) is an idiopathic neurodegenerative disorder targeting seven to ten million of the elderly population. The PARK7 mutation triggers the loss of DJ-1 protein, leading to the early onset of PD. Objective: Our study aims to identify the PARK7 protein interactions and its potent interacting inhibitor by implying various bioinformatics tools. Methodology: In the present study, expression analysis was performed to determine the PARK7 gene expression levels in the CSF of PD patients. Then a detailed spectrum analysis was performed for the quantification of the PARK7 protein fragment. Further, the ligand interactions of the PARK7 protein and α-synuclein were studied through LIGPLOT. Several bioinformatic tools were employed to study the protein-protein interactions along with post-translational modifications. Lastly, the technique of molecular docking was implied to detect the potent MAO-B inhibitor of the PARK7 protein. Results: Our study demonstrated modified expression levels of the PARK7 protein. The PARK7 expression analysis displayed a P value of 0.0106 for healthy versus sporadic PD. While healthy versus genetic PD exhibited a P value of 0.0013. Our detailed spectrum analysis illustrated 13 percent sequence coverage for PARK7_HUMAN across the MS sample. Further, this research introduced three biological replicates: (K) VTVAGLAGK(D);(K) VTTHPLAK(D)& (K) DGLILTSR(G) with 100%; 99%& 99% probabilities, respectively. Moreover, the docking results suggested Safinamide with a -5.4492 best energy score, to be a more potent interacting inhibitor as compared to Selegiline and Rasagiline. Conclusion: The outcome of this study offers early characterization and targeting of proteins, enabling effective diagnosis of PD.

A Comparative Review of Business Models in Information SecurityPDF

Richard Omollo

This paper appreciates the basic tenets of information as defined by the CIA and discusses the various Information security business models. Information security has been defined as the preservation of confidentiality, integrity, and availability, also known as the CIA triad, of information by guarding against unauthorized access, use, disclosure, disruption, alteration, and destruction of information and information systems or assets. It further simplified information security by ensuring information confidentiality, integrity, and availability. It is the aspect of ensuring information is only accessible to the right persons, protecting information from unauthorized modifications, and ensuring information is available to authorized users whenever they need it. Existing Information security business models serve as a guide in comprehending the challenges to confidentiality, integrity, and availability of known systems. This research study appreciated various business models and offered their comparative review.

The Impact of AI on Sustainable Business Practices in Emerging Markets: A Systematic Review of ESG Implementation in ThailandPDF

Rapeerat Thanyawatpornkul

The implementation of Artificial Intelligence (AI) in the business schemes has seen a re-designing decision of the business operations where it is used in streamlining the process, in outcome improvement and solutions innovations in sustainability. AI has adopted predictive analytics, which is a technology that allows environmental sustainability through the promotion of the right resources management. Additionally, AI-based technologies assure ethical supply chain monitoring and the first in line is the concept of sustainable business which lays an emphasis on environmental, social, and governance (ESG) aspects. In Thailand, AI implementation cross borders and invades the systems of agriculture, manufacturing, and water management together which help Thailand to make the sustainability of industry and to preserve the environment become possible. However, the positive results are yet limited due to the egalitarian distribution of AI technologies, privacy protected data as well as the immediate comprehensive AI transformations. This research shows us how AI and sustainability as well as emerging market in the Thailand economy intersect. These are areas that we can improve and also develop further business practices that are sustainable by using AI, as well as please remain due to the problems of data privacy and algorithmic biases. Methodologically the study is guided by the systematic review of literature and scholarly works by analyzing them to get insights on the role of AI in environment preservation. Lastly, the research purpose is to make sure that all the stakeholders have enough knowledge and can maximize AI transformative power, but with responsibility and promoting sustainability among business operators in Thailand. Keywords: AI, Sustainability, business, environment, Innovation


Gibrilla Henry

The study aimed to examine the public views on climate change impacts and the enjoyment of human rights in Port Loko City, North West region Sierra Leone. The world’s climatic conditions have led to many unforeseen occurrences globally. The world is witnessing one of the perils of climate change impacts in diverse places. The rise in sea level, surface temperature, ocean acidity and the effects of the green house gases have led to serious threatened impacts leading to loss of lives, natural resources, ecosystems, physical infrastructures and environmental degradation thereby posing serious threat to the enjoyment of human rights in-terms of accessing to food, clean water and other key resources to support human life. The quantitative method of inquiry was used. Overall fifty (50) participants were chosen to represent in this study through the use of convenience sampling. Structured interviews surveys were used to collect data from participants of the study. The descriptive analysis method was employed to give meaning to the data collected through the representation of tables and pie chart. The empirical findings shows that climate change impacts posed threat in the areas of accessing to water, increase temperatures, declining food and fish production and causing flooding that leads to displacements. For solutions, the finding shows that, embarking on planting trees, discouraging charcoal burning, increasing the participation of community members through sensitization and using renewable source of energy instead of fossil fuels are better ways of mitigating and adapting to climate change impacts. In conclusion, the author calls on all governmental and non-governmental sectors and departments to consider climate change as key area of deliberations. Key words: climate change, impacts, threats, human rights, enjoyments



ABSTRACT The oil and gas industry are embracing digital technologies to enhance efficiency, safety, and sustainability in its operations. Real-time monitoring is a critical component of digital transformation initiatives, enabling operators to track operations continuously, identify inefficiencies promptly, and make data-driven decisions. This paper examines the implementation of digital technologies for real-time monitoring in oil and gas operations, focusing on key technologies, benefits, challenges, and best practices. We discuss the integration of Internet of Things (IoT) devices, sensor networks, data analytics, and visualization tools to monitor equipment performance, detect anomalies, and optimize production processes. Case studies and industry examples illustrate successful implementations of digital monitoring systems in various segments of the oil and gas value chain, including upstream exploration and production, midstream transportation, and downstream refining and distribution. We also examine the regulatory landscape, cybersecurity considerations, and workforce training requirements associated with deploying digital monitoring technologies in the oil and gas industry. Finally, we identify future trends and opportunities for further research and innovation in real-time monitoring of oil and gas operations. Keywords: Digital technologies, real-time monitoring, oil and gas operations, Internet of Things (IoT), data analytics, sensor networks