Proceedings of London International Conferences

The microbiota behind the mental health epidemic

Alex Moss — 2024-09-06

Our microbiota plays a significant role in overall human health through communication with our brain, known as the MGB axis. The microbiota-gut-brain, or MGB axis, allows the microbiota and nervous system to communicate bidirectionally through the vagus nerve. This crucial transmission of vital information is upheld by the vagus nerve to sufficiently relay information regarding the regulation of the cholinergic anti-inflammatory pathway as well as upholding communication between the nucleus tractus solitarius and the gastrointestinal tract, both of which have been found connecting to correlations within mental illnesses such as depression, PTSD, schizophrenia, autism, and a plethora of other conditions. In cases of autism, researchers have found an increase in bacteria such as prevotellaceae and parabaderoids, while there was a decrease in Bifidobacterium and Collinsella compared to the control group. The interactions within the MBG axis responsible for psychiatric health are immense and still being explored. An example of such interconnectivity would be the production of neurotransmitters such as 90% of the serotonin in our body, crucial for regulating mood. This is accomplished by bifidobacterium infantis converting tryptophan into serotonin. Taking this new information into consideration the ramifications of the modern diet could be taken into consideration to explain the epidemic of poor mental health within modern generations. Specifically modern research entails that there is a rise in dysbiosis occurring as diversity and quantities of gut bacteria decrease due to the poor levels of nutrient-filled foods. A new approach to mental health treatment would consider a patient's microbiota and diet to assess what steps can be achieved to formulate a proper microbiota that produces adequate amounts of needed neurotransmitters such as serotonin, GABA, and dopamine that help combat many arising disorders.

Possible Productivity Effects On Software Engineers by Advanced Artificial Intelligence

Arsha Sheikhi — 2024-11-10

Within the past few years, starting from the greater public use of AI from the recent “AI Boom,” ChatGPT or AI-Language Model equivalents have been making their way into software and other computer science-related work environments for developers and software engineers to use without significant financial cost. In this paper, we often mention the word “productivity,” so it is important to know how we measure this: we measure productivity in lines of code (LOC) to gauge the raw amount of coding done, bug resolutions done by developers to measure the reviewing of code, and customer satisfaction to measure the quality of the code, then combine all of these into “overall productivity.” In this paper, we will examine the effects on productivity that these Large Language Models (LLMs) have had on software engineering or other similar jobs.

Sociovirtualization and Cultural Identity Formation in the Digital Age

Ibrahim Kurt — 2024-09-03

The way that cultural identities are created and represented in the digital era has been significantly influenced by the phenomena of sociovirtualization, or the blending of the online and offline spheres. The possibilities and difficulties that sociovirtualization brings for the creation and negotiation of cultural identities are critically examined in this paper. It investigates the ways in which virtual environments support the development of diasporic communities, the curation of multifaceted cultural identities, and the promotion of intercultural communication. However, dangers including preconceptions, cultural appropriation, and systematic bias reinforcement are also addressed. In order to maximize sociovirtualization's transformational potential while preserving genuine cultural expressions, the essay promotes digital literacy, ethical technology use, and inclusive virtual settings. Scholars and practitioners may ensure that varied narratives are amplified and celebrated by navigating the challenges of cultural identity creation in digital domains through a comprehensive knowledge of this phenomena.

Scaling of the infrastructure of service organizations of geophysical services

Vnukova Nataliya — 2024-09-03

The purpose of the study is to analyse the features and scalability of the infrastructure of geophysical service organisations. The implementation of optimal strategic management through a model for any large petroleum geophysics enterprise aimed at economic growth and national interests is proposed. An approach to semantic coordination and modernisation of geographic services is proposed, where service providers share explicit knowledge of the interactions in which their services participate, and these interaction patterns are used operationally to discover and integrate geoweb services. During the research, cluster analysis was used to conduct a comparative analysis of the selected companies, the quality of possible methods of distribution of the selected population and using criteria. The volume of service geophysical services depends on the rate of increase in hydrocarbon production, which is directly related to the state’s strategy. Analysis of the competitive environment for the State-owned Enterprise Ukrgaspromgeofizika requires an assessment of the factors affecting the organisation's activities in the field of geophysical services for the gas industry. The volume of service geophysical services depends on the rate of increase in hydrocarbon production, which is directly related to the strategy of the state.

Emotional labour: More of a burden than a benefit?

Christina Schabasser — 2024-09-09

Hospitality workers, such as flight attendants and waiters, are expected to be courteous, friendly, and polite all the time. Training and managing their own feelings is part of the job. For many, people's true feelings differ from those shown to the outside world, thus prompting them to "put a mask on" throughout their working hours. This practice is called surface acting, which is as essential to this investigation as deep acting. In this context, this study's results were thought-provoking since a statistically significant positive correlation between deep acting and performance was found, while the surface acting–performance relationship was negative. These findings may serve as a warning signal for employers who are expected to keep their employees' mental well-being intact at work.

A Novel Method for Optimising Energy Efficiency in High-Performance Computing Systems

Aarah Sardesai — 2024-09-09

This paper introduces a new method to promote energy efficiency in computing systems. The rapidly growing demand for computational power in high-performance computing (HPC) systems is accompanied by a significant increase in energy consumption. This research investigates the many ways to minimise energy consumption in HPC systems without sacrificing computational performance. Building upon previous research we combined and refined ideas to develop an optimised approach. Our method utilises a tri-modular framework incorporating an Energy-Efficient Hardware Design, Resource Management, and Optimisation, and Server Virtualisation. The first module employs a method of designing smart energy-efficient hardware. This method incorporates leakage reduction techniques such as clock gating and sleep states. The second module uses a technique focused on optimising server software. This method is based on Dynamic Voltage and frequency scaling (DVFS) for power management in data centres. The third module is based on server virtualisation and employs software to create multiple virtual machines on a single physical server allowing for a significant reduction in energy and hardware costs. The methods used in these three modules are systematically integrated to produce a more efficient consumption of electricity. This will allow for the computing system to minimise energy consumption without compromising computational power.

Advancements of the 21st century and Their Implications on Medical Research and Diagnosis

Anna Browning — 2024-09-09

Throughout the 20th century, new research and new demands have led to an increased amount of technology used in medicine. These methods have led to early detection, better context of conditions, increased efficiency, and brighter prospects for the future of medical diagnosis. However, the increasing use of AI and genetics in medicine has called for checks and further clinical trials to determine how ethical these practices might be. The debate surrounding the integration of Artificial Intelligence has created further controversy—that is, what technologies should be used and what technologies should not be used. To determine a solution, certain factors should be considered including the comfort of patients during treatments including advanced technology, the risk factor of integrating AI into procedures, and the efficiency of technology compared to traditional medical practices. For example, imaging technologies such as X-ray and sonography are found to be more comfortable for patients due to their long-standing familiarity, yet their precision and accuracy fall short in comparison to advanced Imaging technologies such as CT, MRI, and PET scans. There has also been discussion of the use of genetic testing such as chromosomal microarrays. Advances in genetic testing have led to the ability to detect conditions in embryos which can be beneficial, but the manipulation of the embryos could raise ethical concerns. Past ethical grey areas, there have been amazing prospects for the future of medicine and these innovations, such as the use of non-invasive testing which is an emerging alternative to traditional surgical methods. Through extensive literary research, this paper considers the multiple aspects that should contribute to deciding to implement technological advancements brought in the 21st Century. By investigating previous integrations of innovations within medicine, this research could envision a risk-free and more ethical approach to advancing medicine with technology.

AI-Driven Governance: Transforming Public and Addressing Legacy Issues in Post-Colonial Africa

Joseph Otochi Onduko — 2024-09-09

This paper examines the transformational potentials that artificial intelligence (AI) may hold to reshape our public policies and methods of administration in the unique post-colonial context of Africa. We thus seek to unearth how AI technologies can be employed at a continental scale in the remedy of legacy issues arising from colonialism including; governance inefficiency, literacy gaps, and inequitable service delivery across the continent. From critically analyzing the application of AI in various public sectors, our research seeks to unveil opportunities for AI in inclusive decision-making processes to improve transparency as well as tailoring public service delivery to the diversified needs of African populations. The paper describes the way forward in the adoption of AI solutions that involve issues on a variety of considerations, infrastructure requirements, financial obstacles, and capacity development, among others.

Highlighting the potential of AI in governance, this research underscores the place of local innovation stakeholder engagement, and international collaboration in assuring that AI plays out as a development lever for both sustainable development and empowerment in post-colonial Africa.

Optimization of Wind Turbine Efficiency during Severe Weather

Nana Kofi Annor — 2024-09-09

Due to the importance of energy in society as well as the negative environmental impact of many commonly used energy sources, namely fossil fuels, it is essential to develop and improve sources of renewable energy. Wind energy is a prominent, widely accessible, and environmentally friendly form of renewable energy created when wind turbines convert the kinetic energy of wind to electricity. Severe weather is one area of concern for wind turbines. This article primarily examines the effects of high wind speeds and lightning on wind turbines. To aid in improving and fostering renewable energy, this article aims to study the effects of lightning and high wind speeds on wind turbines, evaluate current solutions, and suggest improvements where possible. After examining several sources, the advantages and disadvantages of current methods were discussed along with proposed improvements. Due to the restrictions of our research being purely virtual, lacking resources, and time constraints, we are unable to conduct tests and physical research of wind turbines and these meteorological events for more thorough first-hand exploration. Following our research, the next step would be to utilize the evaluations and proposed improvements to current wind turbine designs and analyze the effects.

Secure Data Sharing in Decentralized Networks: Encryption Techniques, Access Control Mechanisms, and Data Integrity Verification

Tensae Laki — 2024-09-09

The introduction of decentralized systems in a rapidly changing technological world has introduced many issues and risks regarding privacy and secure data exchange. This paper addresses the complexities of secure data exchange within decentralized systems, focusing on encryption techniques, access control mechanisms, and data integrity verification. We begin by analyzing the impending risks and limitations within decentralized systems, including the potential for unauthorized access and data breaches from vulnerable points present in decentralized system entities. Subsequently, we analyze and explore modern methods of encryption to safeguard confidential data while also ensuring privacy. Furthermore, we examine access control strategies and integrity verification protocols, which play crucial roles in ensuring that data remains secure against unwarranted access and reliable across distributed ecosystems. Our findings emphasize the need for robust and intricate security measures adapted to the unique framework of decentralized systems. This study aims to advance the understanding of privacy and security in decentralized systems while serving as a stepping stone and valuable resource for future research.

The Impact of Sugar Control on Pancreatic Cancer Progression for the Elderly

Alex Chirayath — 2024-09-09

Pancreatic cancer is a type of cancer that originates in the pancreas, an organ that aids in digestion and blood sugar regulation. It is characterized as an aggressive type of cancer that presents with symptoms that often go undetected. In 2024, there were an estimated 66,440 new cases of pancreatic cancer and an estimated 51,170 deaths from pancreatic cancer, with a 5-year relative survival rate of 12.8% (SEER, 2023). While traditional medical interventions such as surgery and chemotherapy continue to be the cornerstone of treatment, there is an emerging focus on the potential impact of dietary and nutritional factors in both preventing and managing pancreatic cancer. This approach is particularly relevant for elderly patients due to the heightened risk associated with surgery at their age and their reduced tolerance to chemotherapy regimens. This paper presents a compelling case study of a pancreatic cancer patient who adopted a sugar-restricted diet, resulting in a notable decrease in the tumor marker CA 19-9, which is commonly associated with pancreatic cancer. Building on this individual case study, this paper provides a comprehensive review of current scientific literature to examine the potential relationship between sugar consumption and pancreatic cancer development and progression. By examining this intersection of nutrition and oncology, this study aims to expound upon possible alternative or complementary approaches to pancreatic cancer management, especially for vulnerable populations such as the elderly. This research could lead to new strategies for improving outcomes and quality of life in pancreatic cancer care.

Acculturation Strategies and Their Impact on Psychological Health

Yahya Guvercin — 2024-09-09

The dramatic rise in migration during this decade has sparked many questions regarding migrant’s choices and how these choices determined or altered their lives. This study explores the impact of various acculturation strategies—assimilation, separation, integration, and marginalization—on the mental well-being of migrants. Our research strategy involves employing a literature review to synthesize quantitative data from psychological assessments and qualitative insights from migrant interviews. Findings indicate that marginalization, characterized by a lack of engagement with both the host and origin cultures, correlates with the poorest mental health outcomes, including heightened levels of stress, anxiety, and depression. Conversely, integration, where migrants maintain their cultural heritage while also participating in the host culture, is associated with the most favorable psychological health, reflecting lower stress levels and higher life satisfaction. While some migrants report a sense of security and identity preservation, others experience isolation and limited social support, leading to mixed mental health outcomes. Ultimately, this research sheds light on how migrants’ approach to cultural ties can be pivotal in their lives by directly impacting their psychological health. We aim for this paper to be a didactic source of information for policy makers, migrants and even citizens to use in order to create societies that promote collectivity and cultural diversity.

Keywords: Acculturation, psychological health, mental health, migration

Examination of AI Enhanced Distributed Systems and its Effects on Software Engineering

Mehmet Uzgoren — 2024-09-09

Distributed systems are groups of independent computers that appear to the system's users as a single coherent system. These systems involve several critical factors, including network communication, concurrency, and fault tolerance, which are vital in software engineering. For example, cloud computing platforms like Amazon Web Services (AWS) use distributed systems to offer scalable, on-demand resources to millions of users worldwide. The introduction of Artificial Intelligence (AI) into software engineering marks a transformative period that reshapes traditional development processes and breaks down the complexity of distributed systems. AI automates routine tasks and simplifies complex processes, serving as a digital collaborator that enables developers to focus on strategic thinking and creativity. One significant advantage of using AI in distributed systems within software engineering is enhanced resource optimization. AI can identify irregularities that might indicate hardware malfunctions and take preventative measures to address them, such as rerouting traffic to healthier servers. However, distributed systems also have challenges, including increased complexity in system design, difficulty ensuring data consistency, and potential security vulnerabilities. The intricate structure of these systems can result in problems with high startup costs, safety risks, and the accuracy of the data provided. Integrating AI into distributed systems offers both significant advantages and disadvantages. This study evaluates how AI impacts the efficiency and security of distributed systems in software engineering. By analyzing the advantages and disadvantages of AI-enhanced distributed systems, we can gain a comprehensive understanding of their overall effectiveness and implications in the field.

Functionality of Physics-Informed Neural Networks and Potential Future Impacts on Artificial Intelligence

Tejas Nair — 2024-09-09

Physics-informed neural networks, or PINNs, are indicative of a new approach that involves the use of scientific knowledge, as these programs adhere to laws of physics described by general nonlinear partial differential equations while solving problems that are related to physics. This is accomplished via programming these equations into the loss function, which ensures that the underlying system adheres to these laws. This paper will be discussing how PINNs function and analyze how they make use of physics when solving problems. PINNs can be used to model physical systems and phenomena in the real world, including combustion, quantum mechanics, and the simulation of fluid. The data embedded into the code of PINNs also serves to address the issue some neural networks may have with a lack of important data needed to solve relevant scientific issues. The rules and constraints PINNs have ensures that they will provide more realistic solutions in comparison to alternatives. Lastly, this paper will be discussing the potential future applications of PINN programming and functionality on future artificial intelligence (AI) development. PINNs have the potential to address complex scientific problems in a way that other solutions may not be able to, and as such, they are an important topic of discussion.

Power to the People: Advancing Resilient and Sustainable Decentralized Energy Distribution Systems

Nuhayd Nadi Omar — 2024-09-16

This research explores decentralized energy distribution systems (DEDs) as a transformative approach to modernizing power grids. DEDs, including solar photovoltaics, wind turbines, microgrids, and battery storage, offer localized, resilient, and sustainable alternatives to traditional centralized power systems. This study examines the technological components, economic and environmental impacts, policy frameworks, and the challenges associated with DED implementation. Through a comprehensive analysis of case studies and current advancements, we highlight the potential of DEDs to enhance energy security, reduce carbon emissions, and promote economic development. By addressing technical and social challenges, this paper underscores the critical role of innovative solutions, such as artificial intelligence and blockchain, in optimizing decentralized energy systems. The findings contribute to a deeper understanding of how decentralized energy can support global sustainability goals and pave the way for a resilient and efficient energy future.

Comparative Analysis and Optimization of Stem Cell Therapies for Type 1 Diabetes: Evaluating Glycemic Control, Insulin Independence, and Adverse Effects

Kareem Ashkar — 2024-09-22

This paper will explore treatments for Type 1 diabetes by comparing embryonic stem cells, adult stem cells, and induced pluripotent stem cells through glycemic control, insulin independence, and other adverse effects. Diabetes is a detrimental disease that affects over 10% of the U.S. population, leading to chronic conditions such as damage to large and small blood vessels, which can increase the risk of a heart attack or stroke, as well as dilemmas with the kidneys, eyes, feet, and nerves. Given the limitations of standard insulin therapy, stem cell transplantation is a promising alternative; however, due to the novelty of the solution, researchers and doctors are not familiar with the most optimal way to treat diabetes. To alleviate and cure this degenerative disease through stem cell transplantation, we will optimize the efficiency of the process by deductively analyzing each stem cell through Continuous Glucose Monitoring (CGM) and monitoring HbA1c levels. We hope to enhance stem cell therapy for type 1 diabetes and save the lives of those suffering from this hoarding pandemic, so victims are effectively cured, not treated. The objective of this study is to find the most suitable stem cell for treating T1D (Type 1 Diabetes) using stem cell transplantation to ensure the safest and most effective route.

Exploring the Impact of Swahili Literature Reading on Cognitive and Emotional Abilities Among Kenyan Students: Implications for Academic Performance in K-12

Faiza Khalid — 2024-10-03

Swahili literature in Kenya represents a vibrant canvas of cultural expression deeply rooted in Arabic poetry and indigenous folklore. This essay explores the evolution and contemporary relevance of Swahili literature, tracing its journey from early oral traditions to modern literary forms. The discussion highlights the surge in Swahili literary publications over the past decade, underscoring its growing importance in both national and educational contexts. Specifically, the integration of Swahili literature into Kenyan K-12 education is examined, focusing on influential works like Ken Walibora’s "Siku Njema" and Dr. Assumpta K. Matei’s "Chozi la Heri," which tackles diverse themes such as social justice and human rights.

Later, the cognitive effects of reading Swahili literature among Kenyan K-12 students are explored, drawing on studies that demonstrate enhanced cognitive skills and language proficiency resulting from literary engagement. These studies, including research by nurse Mwangi and educator at the Ministry of Home Affairs in Tanzania, M.K, highlight improvements in memory, attention, and problem-solving abilities, particularly beneficial for students from marginalised backgrounds. Neuroscientific evidence from a researcher at the Jaramogi Oginga Odinga University of Science and Technology Ochieng and Mwanyumba further illuminates how Swahili fiction stimulates brain regions associated with language processing and emotional regulation, contributing to academic readiness.

Furthermore, the emotional impact of Swahili literature on students is explored through studies by author of children literature Pamela M Ngugi and Flavia Aiello Traore, which emphasise heightened emotional intelligence, empathy, and cultural understanding among readers. These emotional responses not only enrich students' personal development but also

Exploring the Role of CRISPR-Cas9 in Genetic Engineering: Advancements, Applications, and Ethical Issues

Nursel Eski — 2024-10-12

Since its discovery in 1987, the emerging genome-modification technology CRISPR-Cas9 has augmented the ever-evolving field of genetic engineering through its advancements in precision and accuracy to simplify efficient genome alteration. This paper introduces the history of CRISPR-Cas9 and explores its underlying mechanisms and advancements. Significant technological advancements have enhanced the precision and efficiency of CRISPR-Cas9 in genetic engineering. Innovations like base and prime editors minimize the unintended off-target effects, improving the accuracy of gene editing. The development of advanced delivery methods, such as magnetic nanoparticles, allows for faster delivery of editing components to their intended destination with greater precision. This complex has a wide range of applications in fields such as medicine, agriculture, and industrial biotechnology. CRISPR-Cas9 has recently grown popular among gene therapy studies for genetic disorders in addition to cancer research for further understanding of cancer cell mechanisms. In agricultural settings, this tool has been used to modify crops to withstand environmental constraints to increase crop yield and alter nutritional content. CRISPR-Cas9’s role in industrial biotechnology is also discussed as modifying the metabolic pathways of microorganisms to facilitate higher biofuel production. Ethical considerations related to the technology such as safety, possible human germline misuse, and ecological effects of GMOs have catalyzed social and political restraints with pertinent case studies. Challenges such as off-target effects, generational consequences, and unequal access are mentioned. Nevertheless, ethical questions remain without prominent responses. The future of genetic engineering is in the hands of geneticists working with CRISPR-Cas9 to offer greater treatment options for fatal genetic disorders. This review aims to provide a better understanding of CRISPR-Cas9’s significant use and role in genetic engineering.

Nanotechnological Innovations in Healthcare

Halil Tunc — 2024-10-15

Nanotechnology is a concept much older and more prevalent than you may think. This article will delve into the applications of nanotechnology in various fields of medicine. Using ideas and research, old and new, this publication uses various studies to explore how nanotechnology saves, improves, and, in some cases, enables life. Frankly, the fields discussed further in this paper have nothing in common other than significant and interesting applications of nanotechnology. However, even with this diverse array of fields, only a fraction of nanotechnology’s massive impact across medicinal practice altogether is covered. Nanotechnology has broken into almost every major sector of medicine, finding use from routine practices, such as drug delivery, all the way to extraordinary procedures, such as bone regeneration. This article opens up on the applications of nanotechnology in the cardiovascular, reproductive, antiviral, skeletal, and surgical fields. A substantial amount of research has been conducted to show that nanotechnology is no longer limited to science fiction, and has a major impact that will only grow with time and technology. Doctors and scientists are making full use of nanotechnology’s capabilities by using it in any and all cases that require precision and effectiveness that is either impossible or extremely difficult and dangerous when performed by human hands. This makes many treatments less hazardous and more effective, saving and improving an exponential number of lives as time goes on.

Integration of AI in Education and Didactic Childhood Advancement and Progress

Gerald Mutsotso — 2024-10-30

The state of education in our country has been a contentious topic for many years. Numerous reforms have been done but there are still some problems – inefficient learning resources, is but one of the many. Due to inexperience on this topic this problem continues to plague the education system. However, taking an informed and educated approach with the interests of the students prioritized, we believe that many of these problems could be solved with the use of Artificial Intelligence (AI). Its proper integration into the education system could aid in the improvement of efficiency of learning resources, through the use of various tools like chatbots, adaptive learning systems and intelligent assessment systems. By implementing the use of AI in a world where learning resources are scarce, there can be standardized learning throughout the country regardless of availability of learning materials. The main agenda of this study is to explore ways of implementing the use of Artificial Intelligence into educational systems to integrate the use of learning materials, hence bringing about improved quality of education. We are fully aware of the problems facing the implementations of this study but we are ready to conduct rigorous research to combat them.

Harnessing Artificial Intelligence (AI) and Blockchain Technology for the Advancement of Finance Technology (FinTech) in Businesses

Clay Gitobu — 2024-11-10

This brief investigation seeks to explore the significant impact and offer a thorough analysis of the transformative potential of artificial intelligence (AI) and blockchain technology in revolutionizing financial technologies (FinTech) within the context of African business environments. Central to this study is an examination of how AI-driven solutions and blockchain technology can improve efficiency, accessibility, and innovation in financial services. Currently, African businesses face numerous challenges that hinder their overall success. Among these are the prevalence of fraud in Africa’s economy and the absence of credit scoring and reliable risk management, leading to bad debts and poor capital management. The businesses also lack data infrastructure, regulatory compliances, customer engagement and personalisation data privacy, cybersecurity and volatile currencies. Through intensive evaluation, we will be venturing into and showcasing how applications of AI and blockchain technology address these hurdles via techniques involving fraud detection, risk mitigation, advanced credit assessments and scoring for underserved communities, loan origination systems, and automated customer support utilising tools like chatbots, bolstered market analytics, streamlined regulation conformance, and augmented financial inclusivity encompassing digital payment platforms, saving mechanisms, loans, investments, and insurance products. By leveraging AI, African businesses can propel FinTech innovation and progression, foster economic prosperity, and drive sustainable development. The paper comprehensively analyses the current state of AI-driven FinTech solutions in Africa, identifying key factors that can unlock a new era of financial innovation, potential challenges businesses may face in implementing these technologies and our comprehensive research on their solutions.