ABSTRACT
During the last decade, ontology engineering has undoubtedly participated in a lot of beneficial applications in different domains. Nevertheless, ontology development still faces several significant challenges that need to be addressed. This study proposes an enhanced architecture for the ontology development lifecycle. With the help of this architecture, users can complete ontology development tasks since it provides guidance for all key activities, from requirement specification to ontology evaluation. Ontology-driven conceptual modeling (ODCM) and ontology matching serve as the foundation of this architecture. ODCM is defined as the application of ontological ideas from various fields to build engineering objects that improve conceptual modeling. Ontology matching is a promising approach to overcome the semantic heterogeneity challenge between different ontologies. The proposed architecture is applied to e-governance domain, which is one of the online services that gains a great attention worldwide, especially during the coronavirus pandemic. However, residents of Arab countries face numerous obstacles and do not receive the full benefits of e-governance. For these reasons, Egyptian e-government is selected as the suggested case study. The results are encouraging when the produced ontology is compared with 20 existing ontologies from the same domain. On the basis of OntoMetrics, the average values of metrics correlated to accuracy, understandability, cohesion and conciseness lie in the 95th, 95th, 95th and 57th percentiles respectively. The results can be further enhanced by defining more non-inheritance relations and distributing the instances across all classes. © 2022. ISCA
ABSTRACT
Purpose: The COVID-19 pandemic started a new era in understanding the topic of resilience and adaptability. The human society has not faced such a widespread global challenge until now. This paper aims to address a context change influenced by the COVID-19 pandemic, using a case study in high education. While the character of the issues emerging is the same as in any other domain, in high education, the principles and consequences can be more directly studied and analyzed. Design/methodology/approach: This paper describes a framework to evaluate how the context of the tertiary education service has been disrupted and the influence on the adherence of the students to the educational process, via primary quantitative data collection. This paper tackles the problem of distinguishing the change in context and context change and the possibility of system reconfiguration. Findings: To properly face the evolving conditions induced by the pandemic, the education service system must be aligned to the imposed emergency situations, trying to "find” where the changes have emerged, i.e. what kind of reconfiguration is, whether it appears in the goals or in the service system itself. Furthermore, this study discusses how the findings can be valuable and applied to situations beyond the pandemic, in other cases of context disruption to highlight how general the service activities are within our reconfiguration approach. Originality/value: From a theoretical point of view, this work is in line with main assumptions of system thinking, by confirming several insights of service systems' behavior, even in a logic of B2B interactions (from the offer side);first in terms of openness and adaptation, in addition to readiness to change and – when and how – this change can occur. From a practical point of view, this paper's contribution is directed toward achieving the more successful change management process, as reached together by motivated partners working hard for a common final goal. Realizing that the pandemic has brought a completely new context of education, managers should focus now on monitoring all aspects of the education business, not only directly affected projects and processes. © 2023, Emerald Publishing Limited.
ABSTRACT
As the pressing need to expand the delivery of healthcare has surpassed the traditional limits of implementation, the substantial burden of the COVID-19 pandemic has placed the provision of healthcare services under duress. We explore the outcomes associated with the implementation of telehealth technology in healthcare ecosystems, we are mindful of the challenge in bridging the gap between the potential for extending healthcare technology to overcome the disruption in the provision of health services and the possible effect on the quality of healthcare services. This paper aims to learn from the literature on the impact of Telehealth diffusion on the delivery of quality care. We develop a scoping review and evaluate the outcome through the lens of the six aims of improvement of healthcare quality. We synthesize the literature around managing the disruption, identifying the risks of unintended consequences and factors affecting adoption. We also offer learnings and call to action. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
ABSTRACT
In general, adolescents are vulnerable to lifestyle changes, with implications on their physical and mental health. During COVID-19 lockdown, mental disorders emerged among the Lebanese youth, with prevalence of psychiatric symptoms related to insomnia, depression, and anxiety. The case of the adolescent population in Lebanon was alarming. Suicidal intentions appeared among Lebanese adolescents from 9th to 12th grades. Our study identifies depressive tendencies, stress and anxiety indicators in the respondents remarks. Our adolescent informants have volunteered a few suggestions for coping strategies. Following knowledge to action theory we provide some insight into call to action. Based on the findings from a qualitative review, we organize some insights to promote the development of the adolescent condition in a challenging eLearning environment. Finally, based on the comments from our students, we suggest that eLearning needs to be personalized, on demand, and gamified to keep our adolescent learners engaged. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.
ABSTRACT
DNA sequence classification is one of the major challenges in biological data processing. The identification and classification of novel viral genome sequences drastically help in reducing the dangers of a viral outbreak like COVID-19. The more accurate the classification of these viruses, the faster a vaccine can be produced to counter them. Thus, more accurate methods should be utilized to classify the viral DNA. This research proposes a hybrid deep learning model for efficient viral DNA sequence classification. A genetic algorithm (GA) was utilized for weight optimization with Convolutional Neural Networks (CNN) architecture. Furthermore, Long Short-Term Memory (LSTM) as well as Bidirectional CNN-LSTM model architectures are employed. Encoding methods are needed to transform the DNA into numeric format for the proposed model. Three different encoding methods to represent DNA sequences as input to the proposed model were experimented: k-mer, label encoding, and one hot vector encoding. Furthermore, an efficient oversampling method was applied to overcome the imbalanced dataset issues. The performance of the proposed GA optimized CNN hybrid model using label encoding achieved the highest classification accuracy of 94.88% compared with other encoding methods © 2022, International Journal of Advanced Computer Science and Applications.All Rights Reserved.
ABSTRACT
Advancements in robotics and artificial intelligence technologies have added a prominent contribution in healthcare services. Due to the exponential increase in synthetic viruses specifically these days, the Covid-19 pandemic caused a high rate of infection and death of hospitals' staff. SHAMS-Smart Hospital Assisting Multitasking System was proposed as the first line of defense between hospital staff and this epidemic. Using cutting edge technologies, SHAMS utilized robotics, embedded systems, electrical engineering, electronics, computer vision, natural language processing, and software engineering to facilitate its services. SHAMS can autonomously navigate, and sterilize the hospital, recognize hospital staff, understand speech commands, deliver medicines to patient room, and afford services to patients. Moreover, making self-sterilizing. This paper studies the development and the impact of utilizing autonomous robots in the healthcare crisis. This research paper discusses the main modules of SHAMS robot. SHAMS showed its efficiency, reliability, and scalability in the medical domain. SHAMS also paved the way for robotics to be utilized in various fields in the middle east. © 2021 IEEE.
ABSTRACT
An effective Healthcare Service Ecosystem must emphasize the notion of well-being co-creation which entails a dynamic interplay of actors, in face of the challenges, with their ability to use the available resource pools, at the different system levels. An appropriate response, largely avoiding any crisis, depends on a society's resilience and the related response of actors in the reconfiguration of resources. Originally considered luxury and for the fortunate few who could afford the learning curve, Hospitalization-at-Home (HaH) recently approached a new normal with a positive impact to health outcomes. Nowadays, hospitals have had to reconfigure their health services to reduce the workload of caregivers during the COVID-19 outbreak. Our use case can be a lesson for the adaptation of technology for patient empowerment allowing patients to interact with their care ecosystem while at their home.
ABSTRACT
We propose a service design for ethics framework that applies the four diamonds-of-context model for complex service design (4DocMod) framework to analyze, decompose, and interpret the main edicts of ethics (credibility, transferability, and validity) in data collection and use in public health complex service systems. We illustrate how different contexts of different actors can be accommodated ethically at the service design level. The paper explains the main artefacts of the 4DocMod framework (diamonds See, Recognize, Organize, Do) against community and individual ethics in several case studies related to the current COvID-19 pandemics facing the use of traceability technologies. The main contribution of the paper highlights how actions and goals in healthcare as a service ecosystem (H-SES) may have contexts, while contextual interpretation of activities constitutes the basis for ethical evaluation. © 2021 IEEE Computer Society. All rights reserved.