Knowledgebase & Articles

Microbiome Engineering: A Frontier in Modern Medicine

Knowledgebase & Articles / December 30, 2024

The human microbiome, a vast collection of microorganisms inhabiting the body, plays a pivotal role in health and disease. Advances in microbiome engineering, the deliberate modification of microbial communities for therapeutic purposes, are revolutionizing modern medicine. This innovative field holds promise for addressing chronic diseases, improving mental health, and enhancing personalized medicine. In other words, Microbiome engineering is understanding change, update or even rewrite the program of microbial ecology. Compared to the conventional therapies that directly attack pathogens, microbiome engineering is involved in the reestablishment of the balance in the microbiota. This strategy holds great application to diseases resulting from dysbiosis that is an imbalance of specific microbial flora in our body. The Microbiome and Human Health The microbiome consists of trillions of bacteria, viruses, fungi, and archaea, primarily residing in the gastrointestinal tract. These microorganisms are integral to digestion, immune function, and the synthesis of vital nutrients. Dysbiosis, or microbial imbalance, has been linked to various conditions, including inflammatory bowel disease (IBD), obesity, diabetes, and neurological disorders like depression and autism spectrum disorders (Fan & Pedersen, 2021). Engineering the Microbiome Microbiome engineering involves modifying microbial composition or function to restore balance or enhance health outcomes. Techniques include: Applications in Medicine Challenges and Ethical Considerations Despite its potential, microbiome engineering faces hurdles such as ensuring safety, achieving precise targeting, and understanding long-term impacts. Ethical concerns include consent for donor-derived therapies like FMT and equitable access to these innovations. Future Directions Advances in metagenomics, computational biology, and biomanufacturing are accelerating microbiome research. Precision microbiome engineering, leveraging patient-specific data, could transform therapeutic paradigms. Conclusion Microbiome engineering stands at the forefront of modern medicine, offering groundbreaking solutions to complex health challenges. As technology advances, its integration into clinical practice is poised to redefine the boundaries of healthcare. References You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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Artificial Soil

Knowledgebase & Articles / November 25, 2024

Artificial soil or engineered soil is an anthropogenic substrate, which in many ways resembles natural soil but is designed to possess certain properties on a controlled basis. Natural soils are physically weathered over time, decomposing organic matter, as well as relating to biotic factors, while artificial soils are needed in areas where natural soil is lacking, poor, or non-existent and are prepared purposefully to fulfil particular applications. Some of the fields that have adopted the use of artificial soils are agriculture, horticulture, civil engineering and even space technology. Despite this, they present a flexible solution to problems such as urbanization of soils, poor productivity, and food shortages. Artificial soil is normally prepared from one or many of these components that will imitate the natural soil in its physical, chemical, and biological aspects. These components can be organic materials, for instance, compost or peat and mineral conditioning materials, for instance, sand, clay, or perlite, and supplementary items, for instance, fertilizer, moisture retention material, and pH adjuster. It is the medium through which various aspects such as support for plants, nutrients and water, and microbial bodies should be provided in a manner that is easier to manage and modify than natural soil. Artificial soil is used frequently in urban environments to improve the quality of the soil or where the soil is not available at all usually in landscape gardening. In urban areas, artificial soil can be applied to green roofs, vertical farming, and other gardening projects to function as a space for known plant growth in areas with limited space present. They mimic natural soil types, with optimum nutrient content, structure, and permeability thus facilitating plant growth in areas where soil can be compacted or heavily polluted by urban development. In agriculture, artificial soil is gradually behaving as a saviour for the issues of soil erosion, desertification, and other forms of land degradation. Thus, artificial soil is the base for food growing in places where the natural soil has deteriorated due to overuse, pollution or climatic changes. Higher control over both the texture and structure of the soil as well as the nutrients it contains means more control over the yields and better utilization of resources such as water and space, which are potential scarcities in many places. Moreover, artificial soils can be designed to suit particular types of crops, and this is a much more effective means of producing crops than traditional soil management. Artificial soils are also extremely important for space missions in the modern world. Subsequent studies have been conducted to create artificial soil that may be used in space habitats, for instance, intended for Mars or the Moon, where the natural ground is not planted or not suitable for that purpose. Artificial soils are used when forming durable environments for life support systems in space. Soil engineers and scientists have strived to produce the appropriate soil type required for plant growth, in addition to recycling nutrients and organic matter. These enhancements in artificial soil may also prove to be significant in future manned space missions to meet the human basic needs of food production and better management of space environments. Some of the other significant arenas of application of artificial soils comprise agriculture other than crop farming space exploration, and environmental management. For instance, they can be applied in soil remediation to determine the efficiency of projects developed to remediate affected ground. Some artificial soils are made to possess some properties that allow them to capture contaminants, immobilize toxins or contain plants that assist in the detox process of the soil. These applications can be of much use during the redevelopment of industrial estates, the redevelopment of brownfield sites, or sites with high levels of heavy metals or hazardous waste. Therefore artificial soil can be described as an adaptable invention that gives numerous approaches in the fields of horticulture and landscaping, agriculture, reclamation of polluted areas and even outer space. As an imitation of natural soil and with its adjustable scale, artificial soil contributes to better land and resource utilization. In the light of emerging global issues like climate change, soil degradation, and food insecurity among others, the enhancement of artificial soil promises an optimistic possibility towards enhancing the stability of ecosystems and supporting life in varying difficult conditions. Bibliography Innocent Ojeba Musa, holds a Ph.D. in Environmental Microbiology, M.Tech in Environmental Microbiology, and a B.Tech in Microbiology all from the Federal University of Technology Minna, Niger State, Nigeria. He is a member of the American Society for Microbiology and Nigerian Society for Microbiology. You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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Building a thriving Organization – Workplace Culture and trends Companies should deploy in 2024

Knowledgebase & Articles / November 12, 2024

Every organization has its own corporate culture, which defines its company. It comprises the values and beliefs that an organization works around. A good and positive culture is likely to direct you towards the direction of success. Building a thriving organization is all about nurturing a culture that aligns with modern values, adaptability, and employee well-being. Here are some workplace culture trends that companies should consider phasing out in 2024 to build a healthier and more thriving organization: 1. Prioritize Mental Health and Wellness Initiatives Addressing mental health openly and actively has become essential for a supportive work culture. Organizations can provide access to mental health resources, implement wellness days, and offer programs like mindfulness workshops or therapy sessions. Fostering an open dialogue around mental health reduces stigma and allows employees to bring their whole selves to work. 2. Implement Continuous Feedback Systems Moving away from traditional annual reviews, continuous feedback enables real-time performance improvements and builds stronger manager-employee relationships. Companies are shifting towards more dynamic feedback methods, such as weekly check-ins, project debriefs, and self-assessment tools that provide employees with consistent guidance and growth opportunities. 3. Foster a Culture of Inclusivity and Belonging An inclusive culture is more than just diversity metrics; it’s about creating an environment where everyone feels valued and included. In 2024, organizations are focusing on inclusion initiatives that consider intersectional diversity, support affinity groups, and encourage open conversations about inclusion and equity. Leaders play a key role by modeling inclusive behaviors and supporting policies that ensure every voice is heard. 4. Focus on Purpose-Driven Work Employees increasingly seek meaningful work that aligns with their values. Organizations should clarify their mission and embed purpose into daily operations, encouraging employees to contribute to causes they care about, whether through volunteer days, sustainability efforts, or ethical business practices. Purpose-driven work motivates teams and fosters loyalty. 5. Invest in Learning and Development (L&D) Continuous learning opportunities are crucial in a rapidly changing world. In 2024, thriving organizations are offering customized learning pathways, micro-learning modules, and access to e-learning platforms. Encouraging skill development not only benefits employees’ careers but also enhances organizational agility and innovation. 6. Encourage Cross-Functional Collaboration Breaking down silos between departments enhances communication and creativity. Companies are increasingly creating cross-functional teams that bring diverse perspectives together, encouraging employees to contribute beyond their job roles. This collaborative culture drives innovation and creates a more cohesive team dynamic. 7. Build Stronger Employee Recognition Programs Acknowledging employees’ efforts goes a long way in building loyalty and motivation. In 2024, companies are innovating beyond traditional rewards by implementing peer-to-peer recognition, spotlighting accomplishments during team meetings, and offering personalized rewards. Recognizing achievements fosters a sense of value and reinforces a positive work culture. 8. Promote Sustainable Work Practices Sustainability has become a workplace priority, with organizations increasingly adopting eco-friendly practices and policies. Companies that promote green initiatives, such as recycling programs or digital work environments, reflect employees’ values and contribute positively to global efforts. By embracing these trends in 2024, companies can create a workplace culture that not only attracts top talent but also nurtures employee well-being, engagement, and loyalty. This approach fosters a resilient, innovative, and thriving organization poised to succeed in the modern world. By reevaluating and discarding outdated practices, companies can foster a workplace culture that attracts and retains talent, boosts productivity, and strengthens employee satisfaction in 2024. Ms. Aisha Turaki Ibrahim is an Assistant Lecturer of the Department of Management, School of Arts, Management and Social Science, Skyline University Nigeria. She holds a Master’s Degree in International Business Management from Sheffield Hallam University (U.K) and a Bachelor of Science in Business Management from the American University of Nigeria (AUN). You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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Investigation and Modelling of Barriers in Adoption of Blockchain Technology for Accounting and Finance: An ISM Approach

Knowledgebase & Articles / October 28, 2024

Abstract Blockchain technology has attracted considerable attention from both academicians and industry players in different industries, such as accounting and finance, because of its transformative potential of re-engineering the process of operation and enhancing the level of required transparency in these industries. However, despite the various possibilities of transforming the accounting and finance sectors, there are still numerous challenges that hinder the further development of blockchain technology in the domain. The various obstacles to the adoption of blockchain in accounting and finance are interconnected and include a diverse set of issues related to technology, organization, regulations, and knowledge. To overcome these obstacles, it is necessary to take a comprehensive approach that includes improving technical proficiency, encouraging cooperation among stakeholders, negotiating intricate regulations, and cultivating a culture of innovation and adaptation within enterprises. KEYWORDS Blockchain, Blockchain Technology, Accounting, Finance, ISM, Interpretative Structural Modelling, Blockchain Adoption Barriers Journal of Global Information Management Volume 32 • Issue 1 • January-December 2024 New technological tools can be incorporated in organizations; the systematization of their operations has modified the organizing frameworks and promoted innovation (Calderon-Monge et al., 2024; Broccardo et al., 2023; Bresciani et al., 2021). This kind of shift has been brought about due to factors such as the increased availability of powerful computers and large, extensive databases (Z. Wang et al., 2022). Thus, the enterprises of the internet and the platform type became the leaders in the rating of the most valuable enterprises at global levels (Bolek et al., 2023). A lot of attention is paid to such digital technologies as blockchain, artificial intelligence or AI, big data, and the internet of things or IoT, which are studied in academia, shared on social media, utilized in industries, and implemented in governments (Hemamalini et al., 2024, Behl et al., 2023, Pal et al., 2021). These innovations have far-reaching effects on both organizations and individuals (Behl et al., 2023; Nigam et al., 2023; Shet & Preria, 2021). One of the most popular innovations, blockchain technology is particularly noteworthy for serving as the foundation for the “internet of value,” which has the potential to fundamentally alter business and societal structures (Tapscott & Euchner, 2019). Blockchain, which is regarded as one of the cornerstones of the information technology revolution (Friedman & Ormiston, 2022; Thakkar, 2019), is expected to serve as the foundation for the internet of the future (Ali et al., 2019; Shermin, 2017). Blockchain is an important component of Industry 4.0 that allows it to function properly. The term “blockchain” was coined by Haber and Stornetta (1991) to refer to the process of recording time-stamped records. Later, blockchain was developed by an anonymous peer as a peer-to-peer digital cash system that entails elements of cryptographic proof rather than trust, eliminating the requirement for a trusted third party (Nakamoto, 2008). The utilization of digitized tokens on various distributed ledgers allows for peer-to-peer value exchange (Q. Wang et al., 2023; Evens et al., 2023; Mehdinejad et al., 2022), resulting in widespread acceptance across a variety of industries and sectors, including trade and government regulations (Pal et al., 2021; Bhaskar et al., 2021; Shi et al., 2023). Blockchain technology progresses through four distinct stages: Blockchain 1.0, 2.0, 3.0, and 4.0. Blockchain 1.0 evolved into virtual payment systems like Bitcoin, whereas Blockchain 2.0 broadened its uses to include smart contracts and other financial tools. Blockchain 3.0 expanded its scope beyond finance to include a variety of industries (Gupta et al., 2023; Tanwar, 2022: Mukherjee & Pradhan, 2021). Blockchain’s real-world applications are becoming more common in Industry 4.0 (Buthelezi et al., 2021). Blockchain, which is a digital database that is decentralized within a peer-to-peer network, records all transactions. Unlike centralized systems, transactions are vetted by anonymous participants and disseminated publicly via dispersed networks (Tanwar et al., 2024; Alam, 2020). Each transaction is linked chronologically and preserved permanently on the blockchain. This record of transactions leads to a formation of a chain of blocks known as the blockchain, which is devoid of central authority, making it tamper-proof and impervious to manipulation (Yesilyurt et al., 2023; Yaga et al., 2019). Figure 1 depicts how information is safely kept within a decentralized and distributed network using digital signatures. Blockchain is a distributed ledger system that uses hashing to encrypt transaction and relationship data, allowing all members in the network to have access (Du et al., 2023; Tiwari & Pal, 2023; Zhao Figure 1. Chain of blocks 3 Journal of Global Information Management Volume 32 • Issue 1 • January-December 2024 et al., 2016). The fraud-resistant characteristics of the system are reinforced by strong cryptographic encryption and ongoing monitoring of transactions, which discourages any attempts at manipulation (Ibrahimy et al., 2023: Chang et al., 2020). The technology has wider applications in major areas of business trade and society including, science, medical, supply chain, humanities, education, banking and finance, investments, and accounting and auditing (Bhaskar et al., 2021; Pal et al., 2021; Bartling, 2019). In accounting, dependability and security are of utmost importance due to the critical need for trustworthy information (Garanina et al., 2022). Blockchain provides notable advantages, especially in simplifying the reconciliation procedures between trading participants, which have historically been complex and time consuming (Gomma & Gomma, 2023). Improved financial reporting efficiency yields advantages for stakeholders such as investors, auditors, and financial markets. The professional community is currently considering and discussing the amalgamation of blockchain technology into various finance processes and traditional information systems (Fullana & Ruiz, 2021; Sun et al., 2023). Nevertheless, there are continuing concerns about the implementation of blockchain technology, namely, regarding its applicability to accounting, auditing, and financial reporting (Zhang et al., 2021). Furthermore, instances of cryptocurrency fraud have negatively affected the way people see blockchain technology (Grobys, 2021). Numerous cost-related obstacles accompany the implementation of blockchain technology in finance and accounting (Jameel & Rafiq, 2022; Bhaskar et al., 2021)). First, computational fees are levied on all transactions that take place on the blockchain network, contributing to the overall operating costs. Additionally, the use of blockchain technology in many

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Development of Next-Generation Antibiotics Using Machine Learning

Knowledgebase & Articles / October 28, 2024

In recent years, antibiotic resistance has emerged as a significant global health challenge, rendering many existing antibiotics ineffective against a growing number of infections. This situation has led researchers to explore innovative solutions, and one of the most promising avenues is the application of machine learning (ML) in the discovery and development of next-generation antibiotics. Machine learning, a branch of artificial intelligence, involves the use of algorithms and statistical models to analyze and interpret complex data sets. By leveraging vast amounts of biological and chemical data, ML can identify patterns and relationships that might not be immediately apparent through traditional research methods. This capability is particularly valuable in the quest for new antibiotics, as it allows scientists to sift through extensive chemical libraries and biological information to identify potential candidates for development. One key advantage of using machine learning in antibiotic discovery is the ability to predict how various compounds will interact with bacterial targets. For example, researchers can input data about known antibiotic structures and their effectiveness against specific bacterial strains into ML algorithms. These algorithms can then generate predictions about the potential efficacy of new compounds, significantly speeding up the screening process (Lluka & Stokes, 2023). This approach not only saves time but also reduces the cost associated with traditional laboratory testing. Recent studies have demonstrated the effectiveness of ML in identifying novel antibiotic candidates. A notable example is the work conducted by Stokes et al. (2020), who employed machine learning to analyze existing databases of chemical compounds. Their research led to the discovery of a new antibiotic, teixobactin, which showed remarkable efficacy against resistant bacterial strains. This breakthrough illustrates the potential of ML to uncover new solutions in the fight against antibiotic resistance. Moreover, machine learning can also be used to optimize the development process of existing antibiotics. By analyzing data related to the pharmacokinetics and toxicity of various compounds, ML algorithms can help scientists design safer and more effective drugs. This optimization process is crucial, as many promising antibiotic candidates fail during clinical trials due to safety concerns. By using ML to refine these compounds before testing, researchers can increase the likelihood of success in later stages of development (Mak et al., 2024). In addition to identifying new compounds, machine learning can aid in understanding the mechanisms of action of antibiotics. By examining how different drugs affect bacterial cells at the molecular level, researchers can gain insights into why certain bacteria develop resistance. This knowledge is essential for designing antibiotics that can outsmart resistant strains and remain effective over time. Despite its promising potential, the integration of machine learning into antibiotic development is still in its early stages. Researchers must overcome challenges such as the need for high-quality data and the complexity of biological systems. Moreso, ensuring that the predictions made by ML models translate into real-world effectiveness is an ongoing area of study. Collaboration between data scientists, microbiologists, and medicinal chemists will be essential to fully realize the benefits of this technology in antibiotic discovery (Miethke et al., 2021). In conclusion, the application of machine learning in the development of next-generation antibiotics offers a hopeful pathway in the battle against antibiotic resistance. By harnessing the power of data analysis and prediction, researchers can identify new antibiotic candidates, optimize existing drugs, and gain valuable insights into bacterial behavior. As the global health landscape continues to evolve, embracing innovative approaches like machine learning will be crucial for ensuring that effective antibiotics remain available for future generations. References Abdulsalam Mustapha is a Lecturer II in the Department of Microbiology at Skyline University Nigeria. He has completed his MSc in Microbiology from the University of Ilorin, Nigeria, where he specialized in Industrial and Pharmaceutical Microbiology. He has also acquired a BSc in Microbiology from the same university.

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Am I an innovator or an intrapreneur? A perspective on Growth Mindset

Knowledgebase & Articles / October 22, 2024

The world is full of problems, and most of humanity’s perspective towards the problems around it usually looks for people to solve the problems (economic, social, or any other type) for them. Then what about the remaining minority of them? They do not think about the problems, or they do not face any problems. Let us think from another dimension: Do these people look at problems to solve for themselves and others? Who are they? The answer is that they are the people who see the problems as an opportunity to learn and provide solutions by thinking out of the box. Whom we refer to as entrepreneurs/innovators/disruptors. Yes, these people live with us and are one among us, but the way they see the world around us is different from many of us. According to the Global Entrepreneurship Monitor, there are over 582 million entrepreneurs globally, which is expected to grow by 15% in 2024. What makes these people or clans of entrepreneurs different from ordinary people? Are they blessed ones with no challenges or no issues in life? The answer to a few such questions is the growth mindset. These people are juxtaposed as fixed-mindset people who avoid challenges, cannot accept failure, and are reluctant to learn and experiment with new things. A Growth mindset believes that people’s intelligence and other abilities improve through effort and practice. People with a growth mindset view challenges as learning opportunities and believe they can succeed with enough work. According to Carol Dweck (2006) in her book Mindset: The New Psychology of Success, the characteristics of Growth mindset are: People with a growth mindset are innovators, and they see the problems from their root cause and explore possible alternative solutions with an iterative approach. Innovators are also a set of people who believe in collaborations and build teams that work towards the problem with trust and believe in the ideas of the innovators. Now, the next question for which we can look for answers are Are these entrepreneurs born with the skills, or can they be made? Again, the answer is that entrepreneurs can make a methodical approach to nurturing the growth mindset with the right attitude and skills. A few methods are mentioned below: People with a growth mindset do not necessarily need to start enterprises to become successful entrepreneurs. If we follow the statistics from various sources, about 7% of the world’s population are entrepreneurs. This means that the remaining 93% see the world as full of problems, and others should solve their problems. This question, or such, made policymakers, educators, and visionary leaders break the barriers of formal education and skill training. Today, Entrepreneurship education is a core academic course offered for all disciplines across tertiary institutions worldwide to train young minds on growth mindset and entrepreneurial mindset to enable the youth to be self-employable and intrapreneurs to address the company’s challenges and provide feasible solutions. It’s all about how one can view the challenge as a problem or an opportunity, which is the differentiator between ordinary human beings and growth mindset individuals. References Mavuri, S., Chavali, K., & Kumar, A. (2019, November). A study on imperative innovation eco system linkages to map Sustainable Development Goal 9. In 2019 International Conference on Digitization (ICD) (pp. 142-147). IEEE. Dr. Sudha Mavuri is an Associate Professor in the Department of Economics, and the current Dean of Arts, Management and Social Science, Skyline University, Nigeria. She has a Ph.D in Economics, M.A in Economics and BA in History, Economics and Political Science with Economics Major from Osmania University, Hyderabad, India.

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Renewable Returns: The Financial Benefits of Green Investments

Knowledgebase & Articles / October 14, 2024

Abstract The increasing awareness of climate change has sparked a global shift toward renewable energy and green investments. This paper evaluates the financial benefits of green investments, which include renewable energy sources, energy efficiency projects, and sustainable agriculture. It focuses on the potential for steady financial returns, the role of government incentives, and the long-term economic impact of sustainable investing. The paper examines the risk-reward profile of green investments and how they compare to traditional investments. Finally, it offers strategic suggestions to maximize financial returns, such as leveraging government incentives, investing in emerging green technologies, and diversifying portfolios. The findings indicate that green investments not only support environmental sustainability but also offer competitive financial returns, making them a valuable addition to an investor’s portfolio. Keywords: Green Investments, Portfolio Diversification, Green Bonds, Environmental Sustainability, Investment Returns Introduction The global financial landscape has witnessed a fundamental shift as investors and governments align financial decisions with sustainability goals. This shift is particularly evident in the rise of green investments, which are designed to generate financial returns while promoting positive environmental outcomes. Green investments encompass a wide range of activities, including renewable energy projects, green bonds, and energy-efficient technologies. The growing demand for cleaner energy sources, coupled with government incentives and the need for corporate social responsibility, has created a fertile ground for green investments. According to the International Energy Agency, investments in renewable energy reached a record $380 billion in 2022, demonstrating the sector’s rapid expansion. These investments play a critical role in addressing climate change by reducing greenhouse gas emissions while generating returns for investors. Despite the relatively new nature of green investments, they have shown promising results in terms of financial performance. Investors are increasingly recognizing that sustainability and profitability are not mutually exclusive. In fact, green investments are often seen as less risky due to their alignment with long-term environmental goals and government support. The focus of this paper is to explore the financial benefits of green investments, their risk-reward profile, and strategies for maximizing returns in this evolving market. Current Market Trends The rapid growth in green investment sectors has been driven by various factors, including technological advancements, evolving consumer preferences, and favorable policy frameworks. Investors have begun to appreciate the potential of green investments not only in terms of ethical responsibility but also for their capacity to yield substantial profits. For instance, innovations in renewable energy storage and grid integration have made renewable energy projects increasingly scalable and profitable. The rise of electric vehicles (EVs) and improvements in battery technology have also contributed to the growth of green investments, particularly in transportation. Another key driver has been the significant cost reductions in renewable energy production. Solar and wind energy, once considered expensive, have now become competitive with traditional fossil fuels. The global shift towards decarbonization has accelerated the demand for clean energy, pushing investors to diversify their portfolios to include renewables, which promise long-term financial stability. Objectives Green Investment Types Financial Returns from Green Investments Green investments, particularly in renewable energy, have demonstrated competitive returns when compared to traditional fossil fuel investments. Renewable energy projects such as solar and wind have seen a substantial decrease in costs over the past decade, making them more accessible and profitable. Solar power, for instance, has become one of the cheapest sources of energy, with the cost of solar photovoltaic cells dropping by 82% between 2010 and 2022. This reduction in costs has significantly boosted the return on investment (ROI) for solar energy projects. Additionally, green bonds have emerged as a popular financial tool, offering both stability and sustainability. These bonds, issued by governments, corporations, and institutions, fund a variety of environmental projects, from clean energy to water management. The global green bond market reached over $500 billion in issuance in 2021, with demand driven by both institutional and retail investors. Green bonds are often seen as less risky, as they are typically backed by governments or reputable institutions, making them attractive for risk-averse investors seeking steady income. Another key area of financial benefit is energy efficiency investments. By reducing energy consumption through technological innovations such as smart grids, energy-efficient appliances, and electric vehicles, these investments generate cost savings for businesses and consumers alike. Energy-efficient technologies have the added benefit of reducing operational costs, which can improve profitability for companies in the long run. Suggestions to maximize financial returns from green investments, investors should consider the following strategies: Conclusion Green investments have proven to be not only environmentally beneficial but also financially rewarding. The rise of renewable energy, green bonds, and energy-efficient technologies has provided investors with profitable opportunities that align with global sustainability goals. By leveraging government incentives, diversifying portfolios, and focusing on emerging technologies, investors can maximize their returns while contributing to environmental preservation. In conclusion, green investments are a viable and increasingly attractive option for those looking to combine profitability with sustainability. As the world moves toward a greener economy, the financial benefits of such investments will likely continue to grow, making them a critical component of future investment strategies. References Dr.S.SENTHILKUMAR, currently working as Assistant Professor in Finance and Management, Skyline University, Nigeria. His qualifications are MBA, M.Com, M.Phil, MS, and PhD. He has rich experience in teaching and academic of 18.2 years. He had published 58 papers Publications in National and International Journals and Proceedings. He Authored 4 books in Research Methodology, Corporate Finance, Principles of Accounting and Business Policy & Strategic management.

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Dream Recording Machine

Knowledgebase & Articles / October 7, 2024

A dream is a series of thoughts, feelings, sensations, and images that typically arise automatically in the mind during specific sleep stages. People have been trying to understand dreams since ancient times. People dream for two hours every night, and each dream lasts for five to twenty minutes, in some case it may even last longer. Dreams have been shown to be a dependable source of inspiration, leading to many amazing discoveries and creations. The most important among them are: the ‘Periodic Table’ by Dmitri Mendeleev; atomic structure by Niels Bohr; benzene ring structure by Friedrich August Kekulé; even the discovery of DNA double helix by Watson was inspired by dream [1]. People dream when they are asleep, and when they wake up, the dreams seldom or never return to recollection. Researchers in Japan have managed to convert an MRI (Magnetic Resonance Imaging) machine into a dream-reading tool [2]. The MRI, as it is commonly used in the field of medicine, employs magnetic technology and radio waves to conduct a comprehensive assessment of the body’s organs. MRI is primarily utilized for the evaluation of conditions like stroke, cancer, vascular brain damage, spinal cord trauma, growths, eye or inner ear disorders, multiple sclerosis, and the detection of head injuries. The MRI machine that has been modified is capable of not just reading dreams, but also reconstructing them. Upon awakening, it is possible to view the dream on the screen, eliminating the problem of forgetting dreams. The dream-capturing device created by Japanese scientists presents extraordinary opportunities for delving into the enigmatic realm of dreams [3]. Leveraging progress in neuroimaging and artificial intelligence, this technology records the complex neural activity associated with dreaming and converts it into compelling visual displays. Through the combination of brain imaging methods and advanced algorithms, researchers have achieved notable advancements in interpreting the visual elements of dreams, resulting in the development of a machine that can transform dreams into video sequences. The researchers working on the dream machine have undergone an extensive series of phases. Initially, they requested volunteers to observe static images in various colors. Throughout this procedure, their enhanced apparatus replicates the components of letters and images perceived by the participants. While the visuals displayed on the monitor may appear indistinct, they bear a resemblance to the effects of hypnosis. The subsequent objective is to explore methods for rendering these images more clearly. Although the dream-recording device demonstrates significant advancements in the interpretation of dreams, it is crucial to acknowledge that this technology remains in its nascent phase. Scientist are persistently enhancing the precision and clarity of the reconstructed dream videos, aiming for a more thorough and authentic depiction of the dreamer’s personal experience. With ongoing technological advancements, there is significant potential to transform our comprehension of dreams, consciousness, and the complex mechanisms of the human mind. From a psychological standpoint, the dream-recording device provides innovative pathways for delving into the subconscious and comprehending the intricacies of human thought processes. It creates a chance to investigate the relationships among dreams, emotions, memories, and overall mental health. Through the examination of dream content and recurring themes, researchers could reveal concealed facets of personality, recognize psychological conditions, and formulate more precise therapeutic strategies. References: Dr. Sanjoy is Professor in Biology & Microbiology in Skyline University, Kano, he holds a degree of Ph.D. from the Indian Veterinary Research Institute, Izzatnagar and has done his post-doctoral studies from the Indian Institute of Toxicological Research and Sanjay Gandhi Postgraduate Institution of Medical Sciences, Lucknow. He has also studied Naturopathy from D Y Patil University, Mumbai. You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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AI for Environmental Sustainability

Knowledgebase & Articles / September 30, 2024

Introduction Artificial Intelligence (AI) has emerged as a transformative technology with the potential to address numerous global challenges. Among these, environmental sustainability is a crucial field where AI’s potential can be used to improve resource management, minimize the consequences of climate change, and foster ecological balance. This article explores the ways in which artificial intelligence (AI) is promoting environmental sustainability, outlining important uses, current developments, and promising directions. AI Applications in Environmental Sustainability Climate Modeling and Prediction AI is transforming climate research by increasing the accuracy of weather forecasts and strengthening climate models. To forecast climatic patterns, traditional climate models use enormous volumes of data and intricate algorithms; however, artificial intelligence (AI) can expedite and improve these procedures. To find trends and improve forecasts of potential future climate scenarios, machine learning algorithms examine past climate data. Neural networks, for example, have been used by academics to more accurately predict temperature anomalies and extreme weather events. Resource Management AI is essential to streamlining resource management in a variety of industries. AI-powered agricultural systems evaluate crop health, weather trends, and soil conditions to maximize irrigation and minimize water waste. AI is used by tools like precision agriculture to administer the proper amount of pesticides, fertilizers, and water, reducing their negative effects on the environment and boosting agricultural output. Analogously, AI improves smart grid energy management by anticipating demand and maximizing distribution, which minimizes energy waste and lowers carbon emissions. Pollution Monitoring and Control The application of AI technologies for pollution monitoring and management is growing. Drones and sensors powered by AI, for instance, are able to measure and identify pollutants in the air and water in real time. By analyzing pollution data and predicting patterns using machine learning, these technologies enable more efficient pollution management tactics and quicker reactions. Artificial intelligence (AI) technologies are used in places like Beijing and New Delhi to track air quality and send out notifications, which helps to control and reduce pollution levels. Biodiversity Conservation AI plays a major role in the conservation of biodiversity. For example, image recognition algorithms can identify and track wildlife species by processing large amounts of data from camera traps. For the purpose of tracking endangered species and learning about their habitats and behaviors, this information is essential. AI also assists in the analysis of satellite imagery to identify habitat loss and deforestation, helping conservationists safeguard important ecosystems. Recent Advancements Artificial intelligence’s capacity for environmental sustainability has been substantially improved by recent developments. Sophisticated environmental monitoring systems have been developed as a result of the integration of AI with Internet of Things (IoT) sensors. These technologies deliver meaningful insights into environmental conditions by combining AI-driven analytics with real-time data collecting. AI-powered simulations are also being used to evaluate the effects of different environmental regulations and create sustainable urban landscapes. Challenges and Future Prospects The use of AI in environmental sustainability is fraught with difficulties, despite its promise. Large, high-quality datasets are necessary for accurate AI models, hence data availability and quality are major concerns. Concerns exist over AI systems’ energy usage as well, which, if improperly handled, may outweigh some of the advantages for the environment. To maximize AI technologies’ beneficial effects on sustainability, care must be taken in how they are developed and applied. In the future, AI will probably play a bigger part in environmental sustainability. The efficacy of AI applications will be increased by developments in data processing and collection technologies as well as advances in AI algorithms. It will take a team effort from academics, legislators, and business leaders to overcome these obstacles and realize artificial intelligence’s full promise for environmental sustainability. Conclusion Artificial Intelligence has the potential to significantly impact environmental sustainability. AI applications are significantly helping to handle urgent environmental concerns, from monitoring pollution to optimizing resource management and improving climate projections. However, resolving issues with data quality and energy usage is necessary to fully utilize AI in this industry. AI has the ability to significantly accelerate the transition to a more resilient and sustainable planet with sustained developments and responsible development. References Dr. A. Senthil Kumar is an Associate Professor in the Department of Computer Science and the current Dean of the School of Science and Information Technology (SSIT) in Skyline University Nigeria. He has completed his Ph.D. in Computer Applications in June 2017 from Manonmaniam Sundarnar University, Tirunelveli, Tamil Nadu, India. You can join the conversation on Facebook @SkylineUniversityNG and on Twitter @SkylineUNigeria

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