UGC Notification on Journal Lists to Calculate API Scores
TL;DR: The UGC standing committee will subsequently scrutinize and notify the list, which will be applicable to all universities as discussed by the authors, and the UGC has suo moto assumed the responsibility of certifying the quality of journals.
Abstract: The University Grants Commission (UGC), New Delhi has announced that it will notify the names of journals to be considered for the calculation of API scores for Appendix-III of its Regulations. Accordingly, the universities concerned shall identify the subject-wise journals through Subject Expert Committees and forward the recommendations to UGC in the prescribed format. The UGC Standing Committee will subsequently scrutinize and notify the list, which will be applicable to all universities. In other words UGC has suo moto assumed the responsibility of certifying the quality of journals.
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TL;DR: This paper advocates the crucial role of industrial standards and elements of the edge computing for the dissemination of overwhelming augmented user experience with conjunction with the IoT and proposes a novel edge-IoT based architecture for e-healthcare.
131 citations
01 Jan 2021
TL;DR: A novel system model to minimize the loss or leakage of such valuable information in form of electronic health record by using consortium blockchain platform DengueCBC is envisaged to leverage possible improvement in the current scenario of loss or damage of dengue specific electronic records.
Abstract: In the last decade, world has faced a lot of troubles in terms of epidemics. Dengue infection is one of the cruelest of such epidemics that has already taken a large number of human lives. Citizen who survives after getting infected by Dengue virus, often suffer from severe side effects that largely impacts their lives, minds, and social interference. Researchers have imparted various notions of methodologies toward care, cure, and management of such patients. But, due to some social obligations and lack of awareness, the information about dengue infection in a particular geolocation gets hidden from the citizen. Administration and associated agencies seem to be reluctant in facilitation of dengue related information. Thus, creating a dangerous situation for the affected zone of dengue. Most of the cases, the information about the dengue affected patients is leaked, damaged, or lost while transferring from hospitals, clinics, or diagnostic centers to the local, regional, national, or global administration agencies. In this paper, we propose a novel system model to minimize the loss or leakage of such valuable information in form of electronic health record by using consortium blockchain platform. The proposed system model, i.e., DengueCBC is envisaged to leverage possible improvement in the current scenario of loss or damage of dengue specific electronic records. The proposed model enables the health clinics to securely transfer the dengue health record in electronic form to administration health agency. The process of such transmission is proposed to be highly secure, robust, tamper-proof, and immutable in nature. Stakeholders having decentralized ledger technologies can get associated with the proposed model to get transparent information about the dengue-based electronic data transmission. Thus, the system model encompasses a new way of catering dengue data transmission in more advanced fashion. We further perform comparison between DengueCBC and existing literature to prove the effectiveness of this model. Lastly, we present some open issues related to the proposed system model and other related works that could be mitigated by implying the prescribed future directions.
1 citations
References
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TL;DR: This paper advocates the crucial role of industrial standards and elements of the edge computing for the dissemination of overwhelming augmented user experience with conjunction with the IoT and proposes a novel edge-IoT based architecture for e-healthcare.
131 citations
01 Jan 2021
TL;DR: A novel system model to minimize the loss or leakage of such valuable information in form of electronic health record by using consortium blockchain platform DengueCBC is envisaged to leverage possible improvement in the current scenario of loss or damage of dengue specific electronic records.
Abstract: In the last decade, world has faced a lot of troubles in terms of epidemics. Dengue infection is one of the cruelest of such epidemics that has already taken a large number of human lives. Citizen who survives after getting infected by Dengue virus, often suffer from severe side effects that largely impacts their lives, minds, and social interference. Researchers have imparted various notions of methodologies toward care, cure, and management of such patients. But, due to some social obligations and lack of awareness, the information about dengue infection in a particular geolocation gets hidden from the citizen. Administration and associated agencies seem to be reluctant in facilitation of dengue related information. Thus, creating a dangerous situation for the affected zone of dengue. Most of the cases, the information about the dengue affected patients is leaked, damaged, or lost while transferring from hospitals, clinics, or diagnostic centers to the local, regional, national, or global administration agencies. In this paper, we propose a novel system model to minimize the loss or leakage of such valuable information in form of electronic health record by using consortium blockchain platform. The proposed system model, i.e., DengueCBC is envisaged to leverage possible improvement in the current scenario of loss or damage of dengue specific electronic records. The proposed model enables the health clinics to securely transfer the dengue health record in electronic form to administration health agency. The process of such transmission is proposed to be highly secure, robust, tamper-proof, and immutable in nature. Stakeholders having decentralized ledger technologies can get associated with the proposed model to get transparent information about the dengue-based electronic data transmission. Thus, the system model encompasses a new way of catering dengue data transmission in more advanced fashion. We further perform comparison between DengueCBC and existing literature to prove the effectiveness of this model. Lastly, we present some open issues related to the proposed system model and other related works that could be mitigated by implying the prescribed future directions.
1 citations