Volume 10 | Issue 12

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Intelligent Capital Allocation Frameworks in Decentralized Finance

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Intelligent Capital Allocation Frameworks in Decentralized Finance

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Supply networks that span the globe are essential to the functioning of multinational corporations in today's linked world. These chains are responsible for distributing goods and services to a variety of different markets. However, the complexity of these systems brings about a wide range of hazards that may have an effect on the effectiveness of operations, the stability of finances, and the results of strategic endeavours. With the purpose of providing a complete examination of the difficulties and ways to minimise these risks, this article investigates the essential aspects of risk management within global supply chains.

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Risk Management in Global Supply Chains

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Electroencephalography (EEG) is a vital tool for monitoring brain activity, but its utility is often compromised by the presence of non-neuronal artifacts, such as eye blinks, muscle movements, and environmental noise. Traditional methods for artifact detection typically rely on manual inspection or supervised machine learning models, which require extensive labeled datasets. These approaches are time-consuming, subject to human error, and difficult to scale. Self-supervised learning (SSL) presents a promising alternative by enabling models to learn from large amounts of unlabeled data through proxy tasks. This paper explores the application of SSL in EEG artifact detection, proposing a novel approach to automate the identification and removal of artifacts without the need for manual labeling. By leveraging the inherent structural properties of EEG signals, SSL models can effectively distinguish between artifacts and meaningful neural activity. We evaluate the performance of SSL-based models against conventional supervised approaches, demonstrating that SSL can achieve comparable or superior accuracy while requiring less human intervention. Our findings suggest that SSL has the potential to enhance the efficiency and scalability of EEG analysis, making it a valuable tool for both clinical and research applications. This work contributes to the ongoing development of automated EEG processing methods, with the goal of improving signal quality and ensuring more reliable interpretations of brain activity.

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EEG artifact detection, self-supervised learning, automated signal processing, unlabeled data, neural activity, EEG signal quality, machine learning, brain-computer interface, neuro-research, proxy tasks.

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It is essential to optimise Human Resource (HR) operations in order to achieve organisational efficiency and effectiveness in today's quickly changing business environment. Oracle Human Capital Management Cloud provides a complete array of solutions that are meant to automate HR procedures, improve the employee experience, and give actionable insights via data analytics. With the goal of enhancing HR productivity, this paper investigates the many approaches and best practices that may be used to optimise Oracle HCM Cloud. At the outset, a comprehensive summary of the fundamental capabilities of Oracle HCM Cloud is provided. These capabilities include basic human resources, talent management, workforce management, and analytics.

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Improving HR Efficiency through Oracle HCM Cloud Optimization

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In the ever-changing sector of product management, it is very necessary to properly manage risks in order to ensure the successful delivery of goods that satisfy both the requirements of the market and other organisational goals. The purpose of this article is to investigate complete risk mitigation solutions in product management. The research focusses on discovering, analysing, and resolving possible hazards throughout the product lifetime. The purpose of this endeavour is to provide a methodical strategy for reducing potential dangers and increasing the possibility of a successful product launch.

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Risk Mitigation Strategies in Product Management

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The readmission of patients to hospitals is a major worry for healthcare systems all over the world since it has an effect on the results for patients and raises the expense of operations. Recent developments in artificial intelligence (AI) have opened up new options for solving this difficulty via the use of methods that are driven by AI and include patient interaction. Through the use of artificial intelligence-driven technologies, this case study investigates the installation of technologies with the goal of lowering hospital readmissions by increasing patient participation and strengthening post-discharge care.

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AI-Powered Solutions for Reducing Hospital Readmissions: A Case Study on AI-Driven Patient Engagement

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Electronic Clinical Outcome Assessment (eCOA) platforms are pivotal in modern clinical trials, enabling the collection and management of patient-reported outcomes with greater accuracy and efficiency. As these platforms evolve, the integration of Machine Learning (ML) has emerged as a transformative force, offering significant advancements in data quality and insights. This paper explores the application of ML within eCOA platforms, focusing on its impact on enhancing patient data quality and deriving actionable insights for clinical research.

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Machine Learning in eCOA Platforms: Advancing Patient Data Quality and Insights

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Technological innovation is crucial in the fast changing financial services industry to sustain competitive advantage and satisfy the constantly shifting demanding of clients. The function of effective leadership is of utmost importance in propelling technical discoveries and guaranteeing their alignment with the objectives of the organisation and the standards of the industry. In this study, the complex function of leadership in promoting technological innovation in financial services is examined, with a focus on strategic vision, change management, and stakeholder involvement.

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The Role of Leadership in Driving Technological Innovation in Financial Services

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Creating user experiences (UX) for iOS apps that are fluid, intuitive, and engaging has become more important as a result of the fast expansion of mobile technology. UIKit, which has been around for a long time, is being supplemented by Apple's SwiftUI framework, which is gaining popularity to the point that it provides new opportunities to improve user experience in iOS apps. The purpose of this in-depth investigation is to investigate how SwiftUI and UIKit may be used most effectively to improve the user experience of iOS applications. Both of these frameworks are analysed in terms of their strengths, integration techniques, and practical consequences.

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Optimizing iOS User Experience with SwiftUI and UIKit: A Comprehensive Analysis

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Abstract Education is a vital factor for the advancement of any society. Development encompasses various aspects, and education serves as a means of social mobility. The scheduled caste communities have been using education as a tool to escape social exploitation and marginalization. The primary objective of education is to help individuals develop their innate qualities to their full potential. In the historical context of Indian culture, a rigid system of caste inequality, guided by principles of hierarchy and purity pollution, has been prevalent. However, with the current socio-economic and political changes, new job structures are emerging, replacing the old caste-based system in the global era. Through widespread education, the scheduled caste community has been able to achieve socio-economic development. This study aims to explore the available educational opportunities, the extent of government support received by the scheduled caste community at the higher education level, and the reasons behind the existing disparities.

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Key Words: Education, Development, Scheduled Caste, Government, Exploitation, Opportunities.

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This article provides an in-depth analysis of the Fast-Moving Consumer Goods (FMCG) sector in Karnataka, one of India's leading economic states. The study focuses on the performance, growth drivers, and challenges faced by FMCG companies in the region, examining consumer behavior, market segmentation, and key trends shaping the sector. With the state's rapid urbanization, expansion of e-commerce, and innovative product offerings, the FMCG sector in Karnataka is poised for further growth. However, companies must navigate supply chain issues, rising competition, and price sensitivity. This article also presents case studies of national and regional FMCG players, offering insights into the future outlook for the market.

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FMCG, Karnataka, consumer behavior, market segmentation, e-commerce, supply chain, rural markets, urbanization, price sensitivity, regional brands, organized retail, and digital platforms.

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Graph coloring is one of the best known, popular and extensively field of graph theory, having many applications, which are still open and studied by various mathematicians and computer scientists along the world. In this paper we present a survey of graph coloring as an important subject field of graph theory, describing various methods of the coloring, and a list of problems and associated with them. Lastly, we turn our attention to graphs, a lass of graphs, which has been found to be very interesting to study . A brief review of graph coloring methods (in Polish) was given by Kubale a more detailed one in a book by the same author. We extend this review and explore the field of graph coloring further, describing various results obtained by other authors and show some interesting applications of this field of graph theory.

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Graph coloring, vertex coloring, edge coloring, dominating energy complexity, algorithms.

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Thomas Hardy a precious jewel in the history of English literature. Generally classified as pessimist, atheist and naturalist, he firmly believes that every human being more or less is a social entity which can't be isolated for a long time from society and nature. This isolation from his or her fellow being will ultimately result into the mental as well as physical trauma to the concerned individual or a group. Every human being in its given circumstances tries his or her best to develop healthy relations not only with other human being but also with the other natural entities as it is one of the most prerequisite of its peaceful and harmonious co-existence. It is only because of the social and cultural contacts the human beings help one and other to realise his or her dreams and aspirations. The mutual respect and give and take attitude helps the human beings in attaining a happy and prosperous life. But life is never as smooth as it is expected one. There are many acts which are responsible for making human life complex and difficult. Sometimes the unending lust for material things creates complications in the life of human beings. Every human being becomes quite impatient in the times of the adversary and he or she longs for the company of the near and near ones in this critical time as the intensity of grief and misery somewhat lessen when the aggrieved person receives love and compassion. So every individual needs somebody with whom she or he shares his fortune as well as tribulation. These human traits of compassion, support and affinity are mostly celebrated in most of the fictions of Thomas Hardy. This paper is an attempt to present the chain of miseries in the life of people presented by the novelist in this work.

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Character, destiny, evil, folk, human, justice, nature & suffering etc.

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The Nagesia tribe, also known as the Kishan tribe, is a significant ethnic group located in the Mahuadanr Block of Latehar district in Jharkhand, India. Traditionally skilled in farming, the Nagesia people have a rich cultural heritage and a unique language known as the Kishani language. Despite their historical roots in agriculture, the tribe has faced challenges in accessing education and development opportunities. This research proposal aims to investigate the impact of education on the Nagesia tribe, with a specific focus on the communities of Chiropath and Surkaipath. By analyzing the social, economic, cultural, and political aspects of the Nagesia community, this study seeks to understand how education has influenced their lives and contributed to their overall development. The objectives of this study include assessing the educational level and progress of the Nagesia tribe, highlighting the importance of education in their socio-economic context, and providing recommendations for improving educational planning and facilities for the tribe's betterment. By filling the gap in documentation and understanding of the Nagesia tribe, this research aims to support policy-making efforts and contribute to the development of marginalized communities in Jharkhand.

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Nagesia, transformative, policy, primary source, education, disparities

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Abstract In recent years, Indian startups have seen amazing transformations. With a booming economy, favourable government regulations, and a vibrant entrepreneurial culture, India has emerged as a hotspot for entrepreneurs and innovation. Over time, the country has seen an increase in entrepreneurial endeavours in a variety of industries, including technology, ecommerce, healthcare, finance, and others. Technology improvements have had a significant influence on the Indian startup environment. The increased use of mobile devices and the internet has provided new opportunities for entrepreneurs to access and interact with a huge client base. India has emerged as the world's second largest startup ecosystem after the United States. India is a magnet for startups, which are expanding at an exponential rate. The Global Startup Ecosystem Report 2022 ranks Bengaluru, Mumbai, and Delhi in the top 40 startup centers worldwide. In 2021 alone, Indian companies raised more than $23 billion in 1000+ transactions, with 33 businesses joining the coveted unicorn club. So far in 2022, 13 new unicorn businesses have joined the club. The rising investor trust in Indian startups is astonishing and is observed gathering pace across the various stages of a startup's life cycle. Recent years have seen a tremendous shift in India's entrepreneurial ecosystem, from the formation of new startups to global investor interest to developments in infrastructure and policy. Thus, the research intends to investigate the growth pattern of new ventures, startup factors, and sensitive obstacles for startups in the Indian context. The study has been carried out based on the secondary data and used statistical tools for the data analysis and inference. The study found that the huge scale for the startups in India and vulnerable challenges also impact on the growth of startups. The study also focused further research areas in startups in India.

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: Startups, Make in India, Digital India, Status, Development and Challenges

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Humans have migrated throughout history. People migrate for different reasons, such as reuniting with their families; seeking better economic opportunities; and escaping human rights abuses, including armed conflict, persecution, and torture. Migrants are generally entitled to the same human rights protections as all individuals, although States may limit migrants' rights in some ways, such as with regard to voting and political participation. Many human rights treaties explicitly prohibit discrimination on the basis of national origin and require States to ensure that migrants' human rights are equally protected. Additionally, like other particularly vulnerable groups, migrants have been given special protections under international law, to address situations where their rights are most at risk, such as in the workplace, in detention, or in transit. According to the Office of the United Nations High Commissioner for Human Rights (OHCHR), all migrants, regardless of their status, are entitled to the same international human rights as everyone else. This means that states have an obligation to respect, protect, and fulfill the human rights of migrants. Current paper analyses the human rights of migrants on international level also on national level.

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Migrants, human rights, health, family, life.

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The Raman spectra of crystalline and amorphous solids of the same chemical composition can be significantly different primarily because of the presence or absence of spatial order and long range translational symmetry, respectively. The purpose or goal of this installment of Molecular Spectroscopy Workbench is to help readers understand the underlying physics that affect the Raman spectra of crystalline and amorphous solids. Wave vector, reciprocal space, and the Brillouin zone are explained with respect to Raman spectroscopy of solids.

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Crystalline amorphous Raman Spectra

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Samples of doped polyaniline (emeraldine salt) were prepared with protonic acid dopants, namely, hydrochloric acid (HCl). Using the two-point probe method, it was found that the samples had ohmic behavior in which high linear coefficients. The doped sample had a highest conductivity of 1.2x10-4S/cm was observed for the HCl doped sample, while the lowest value 7.59x10-6 S/cm. These conductivities were compared with the computed energy gap between the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) where it was found that they are inversely proportional to each other. Field scanning electron microscopy revealed significant differences among the samples in terms of morphology.

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Emeraldine salt, Conducting PANi, Electric conductivity.

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Carbon nanotube(CNTs) represent one of the best novel nanostructures which have distinct individual structures, morphologies and properties, and carbon nanotubes have been described as a sheet of graphite rolled into a hollow cylinder and the length and diameter depended on the conditions of synthesis method. The rolling of graphite sheet form two important structure multi-walled carbon nanotube (MWNT) and single-walled carbon nanotube (SWNT) where the two structure have special properties and wide application like chemical, biological, electrical, medical, sensor, physical and other application. In the present paper , the various synthesis methods have been discussed which produce the carbon nanotube in huge quantity, more purities and selective structure.

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Carbon Nanotube CNTs SWNT MWNT

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DASMOOLA is a combination of ten medicinal plants of which principally roots are employed in compounding of ayurvedic formulation. The aim of this review is to highlight DASMOOLA plants and their importance in traditional medicine. We studied the ten plants, their morphological characters, their peculiar medicinal properties. Because these plant formulations is being using in different ayurvedic medicine preparation. This review also helps to summarize the recent advances in the studies of DASMOOLA plants and their curing nature.

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DASMOOLA, Medicinal Properties, Ayurveda

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