RSS 1.0Conference Papers
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Digital Twin for Neurology: An Introduction to a New Frontier in HealthcareA digital twin (DT) is a virtual representation of a real thing that features two-way interactive links connecting the physical object and its digital twin. Significant improvements in healthcare, notably in the area of neurology, are being made because of DT technology. Clinicians can mimic therapies and track disease progression in real-time using DTs to build a virtual duplicate of the brain and neural systems. Digital twins can also aid scientists and medical professionals in comprehending the progression and onset of neurological illnesses, which can lead to the development of more efficient treatments for ailments. The development of digital twins can help healthcare professionals manage large amounts of patient data by standardizing the integration of data from various sources, implementing individualized clinical pathways, fostering physician-patient communication, and promoting shared decision-making. This paper explores the concept of Digital Twin technology and its key features, as well as the services it offers for healthcare. The focus then shifts to specific applications of DTs in neurology, including Mild Cognitive Impairment and Alzheimer’s Disease, multiple sclerosis, stroke, migraine, and epilepsy. The paper also discusses the challenges of implementing digital twins in healthcare, such as data privacy and security, data management, and ethical concerns as well as the potential future direction of DT in neurology to enhance diagnosis and treatment plans.
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Deep Learning Meets Graph Theory: A Novel Approach to Generating Embeddings for Recommender SystemsGraph-based models have emerged as a promising approach for capturing intricate relationships in various real-world applications [1], including recommendation systems. A novel approach called P-GNN (Partitioned-Graph Neural Network) has been proposed in this work, which utilizes the bipartite graph structure commonly used in recommendation systems. The approach generates separate embeddings for users and items, allowing highly discriminative recommendations. A significant advantage of this approach is its ability to address the oversmoothing and cold-start problem by computing separate subgraphs for users and items. This feature enables the generation of embeddings even for new users or items. The effectiveness of the proposed approach has been evaluated on multiple benchmark datasets and compared against state-of-the-art methods. The results demonstrate that Partitioned-GNN outperforms existing approaches, highlighting the potential of graph-based methods for recommendation systems.
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Realizing the Pristine Islamic Economics and Social System Through Gold-Based Productive Waqf: Introducing the Ubaid Waqf Economy Model for Empowering Businesses and IndividualsIt is an ardent desire of many Muslims to witness the realization of a true Islamic economy that is benevolent to the community. The growth and advancement of Islamic banking and finance within the present riba-based monetary system, is indeed a step towards that vision. However, the success of the industry has not translated into uplifting the society’s socioeconomic standards. In addition, the current financial systems have rendered economies and environment unsustainable. The need arises to look beyond traditional financial institutions and economic models to seek a sustainable, equitable system that will benefit all sections of the community. Towards this end, this paper proposes an innovative Waqf Economy model that is being practiced in South East Asia, which in our reasoning is capable of rendering that pristine Islamic Economics and Social system that is aspired.
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Improving the security of Internet of Things (IoT) using Intrusion Detection System (IDS)The potential of both current and future IoT applications is substantial in improving user comfort, productivity, and automation. However, to continue implementing this technology on a larger scale and across various devices, it is necessary to have high levels of security, privacy, authentication, and resilience against attacks. With the development of many IoT technologies that rely on the internet, there is a constant threat of cyberattacks that can wreak havoc globally. Denial of service attacks can disrupt network security and result in illegal access, misuse, or alteration. Using IoT in real-world environments requires security and privacy considerations. Increasing cyberattacks and security breaches have made safeguarding IoT infrastructure and networks a top priority in today’s computing landscape. This paper examines the latest solution for IoT security using Intrusion detection systems (IDSs) to achieve secure end-to-end environments. This paper explores the profound impact of IDSs on IoT security such as vulnerability detection, Anomaly detection, real-time alerts, incidence response, etc. Furthermore, the paper focuses on various challenges regarding the applicability and implementation of IDS technology in real-world scenarios.
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A Bayesian Approach to Analyse the Nexus Between the Environmental and Financial Factors to Affect Energy Efficiency in the GCC RegionEnergy, being a significant input in the production process is considered an important element in the socio- economic development of a country. In this context, global economy is concentrating on attaining financial stability through increased energy efficiency and plummeting the energy intensity. Efficient use of energy enables the countries to improve their trade balance whereas it helps to reduce operating costs at micro level. Using energy-efficient techniques can reduce the environmental risks posed by the higher level of economic activity. Similarly, development of financial sector stimulates economic efficiency through the expansion in the financial activities (Sadorsky, 2010). Financial development helps to reduce cost of borrowing and financial risk, thereby creating transparency between lenders and borrowers. In addition, financial sector development facilitates the acquisition of sophisticated energy efficiency products and technology. However, with the rapid economic development, the environmental degradation has become a focus point for the nations across the globe. The feedback effects from environment to economic growth have stimulated the researchers to investigate the reasons for environmental dilapidation and determine the solutions for environmental conservation. Many of these research studies are encircled around the environmental Kuznets curve (EKC) hypothesis (Grossman &Krueger, 1991) which elaborates the linkages between the environmental degradation and economic growth. Middle Eastern economies are heavily reliant on the energy-based revenues and any curb on the energy production directly affects their economic growth in the region. Furthermore, financial system in the Middle Eastern region is technologically advanced with strong regulatory frameworks related to data protection, consumer protection, cybersecurity, and anti-money laundering. These regional characteristics provide a strong base to assess the existence of environmental Kuznets curve in the region and to examine the nexus between the financial sector development, economic growth, energy efficiency and Co2 emission in the region. The relationship between the environmental quality and economic growth is explored by various studies such as Jaeger et al. (1995), Tucker (1995), Barbier (1997), Horvath (1997), Ansuategi et al. (1998), List and Gallet (1999), Stern and Common (2001), Roca (2003), Dinda and Coondoo (2006), Coondoo and Dinda (2008) and Akbostanci et al. (2009). However, this research is unique as it is first to examine the environmental Kuznets curve hypothesis for the oil based Middle Eastern economies while using a conditionally homogenous autoregressive model for the panel of Middle Eastern economies. This model considers homogeneity across the cross-sectional units with identical structural characteristics. The panel conditionally homogenous vector autoregressive specification permits the heterogeneity in the dynamic panel data set and evaluates the relationship between the observed heterogeneity across the units and their structural characteristics
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The Role of Sukuk in Sustainable DevelopmentSukuk: Driving Sustainable Economic Development Abstract Sukuk, or Islamic bonds, have gained popularity as a Shariah-compliant approach for enterprises to obtain capital. In accordance with the principles of Islamic finance, Sukuk plays a key role in supporting sustainable development in addition to its financial rewards. Sukuk may assist fund initiatives that benefit society as a whole, increase risk-sharing among investors, and promote financial inclusion. A recent example of a green Sukuk issued by the Indonesian government highlights the capacity of Sukuk to fund environmentally beneficial initiatives. Sukuk may also be used to alleviate some of the issues that traditional finance faces, such as financial crises, and to enhance accountability and transparency in financial transactions. This article examines the relevance of Sukuk in Islamic finance and its role in sustainable development. This study focuses on the function and influence of Sukuk on human welfare and sustainable development. To attain human well-being and sustainable development, Sukuk investments must be for the benefit of everyone, including people, institutions, society, and the whole nation. The research shows that Shari'ah supervisory boards should focus more on the content when developing Sukuk in order to assist Islamic finance in reaching Maqasid AlShari'ah. Keywords: Sustainable development Maqasid AlShari'ah, Sukuk, Islamic finance, human well-being, safeguarding wealth.
