Recommender System for Government Service in Smart Cities

significant recommender systems (RS) development has occurred along with the Internet of Things (IoT) development in recent years. Recommender systems have been widely spread across diverse fields, including environmental preservation, e-commerce, healthcare, social and governance systems. There has been a growing focus on e-government as part of smart city initiatives in today's world of connected devices and infrastructure, especially after the COVID-19 pandemic. With the use of information and communication technologies (ICTs), the government can enhance the delivery of public services, increase transparency, accountability, and credibility, as well as engage citizens in the decision-making process. To facilitate 'smart' governance, one of a smart city initiative's objectives is integrating e-government into the city's governance framework. The lack of personalized services for particular stakeholders is one of the most significant limitations of e-governance. There are a number of open challenges coupled with interesting opportunities, making this a very promising and exciting area for research to shape recommendation systems for urban environments. Considering the overwhelming amount of information, services, and tasks available through smart government applications, it is a greater chance of providing personalized recommendations for different stakeholders and tasks within multi-faceted and multi-dimension. There is still a lot of research to be done on recommendation systems in the context of smart cities or smart government. This paper survey the existing studies on recommendation systems for smart governance. The study aims to address smart city challenges to considered when designing and implementing recommendations for e-governance and the target stakeholder's interests. © 2022 IEEE.

The eXtraordinarY BABIES STUDY: EARLY SOCIAL COMMUNICATION SKILLS IN INFANTS WITH SEX CHROMOSOME TRISOMY (SCT)

Purpose of Study: The eXtraordinarY Babies Study is a natural history study of health and neurodevelopment in infants with a prenatal diagnosis of SCT. Given the increased risk for social difficulties and autism in SCT in later childhood and beyond, the study explores trajectories of early social communication development to identify early predictors of outcomes, and relationship of social communication skills to developmental profiles. Methods Used: A subset of 56 participants (XXY=43, XYY=4, XXX=9) from the eXtraordinarY Babies Study completed the Autism Diagnostic Observation Schedule- 2nd edition (ADOS-2), Toddler Module as part of the 12-month visit and The Bayley-3 Scales of Infant and Toddler Development. The ADOS-2 provides ratings of 0 (typical development), 1 (mild atypicality), and 2 (atypical) for communication, social interaction, and other behavior items, and an algorithm classifies total score into categories of: Little-No Concern, Mild-Moderate Concern, Moderate-Severe Concern. Analyses were limited to those who completed the assessment prior to COVID19 mask/shield requirements. Summary of Results: High rates of delayed or atypical development of early social communication skills were identified, with >75% of the sample showing scores of 1 or 2 in frequency of babbling, spontaneous vocalizations, gesture use, and pointing. 58% of the sample showed unusual eye contact and vocalizations. Over 50% received atypical scores on items assessing the quality of eye contact. Participants showed few restricted and repetitive behaviors. Results of ADOS-2 total scores: Little-no concern 50%, Mild-Moderate concern 35.7%, Moderate-severe concern 14.3%. No one was assigned a clinical diagnosis of ASD. For this group, Bayley-3 results showed average Cognitive (scaled score 10.8 sd1.9) and Fine motor skills (9.3 sd2.3), followed by lower Receptive (8.2 sd2.4) and Expressive Language (8.9 sd3.0) and below average Gross Motor skills (7.9 sd2.6). Receptive language scores negatively correlated with ADOS-2 Social Affect (r= -.38, p = < .001) and Overall Total (r= -.41, p = < .001). Conclusion(s): Even at an early age, toddlers with SCT are at increased risk for language, communication, and social interaction delays. While no participants were diagnosed with ASD at 12 months of age, social communication deficits known to be "red flags" for later diagnosis of ASD were seen in a subset of young children with SCT. Prospective follow-up will allow us to determine the trajectory of these deficits and those that may predict higher risk for more significant clinical symptoms.

Technology-Enhanced Learning Environments and Adaptive Learning Systems - Development of Functionality Taxonomies

Especially against the background of the current coronavirus crisis, technology-enhanced learning environments (TELEs) increasingly characterize teaching at universities. For the successful use and integration of TELEs, it is important to understand the functionalities of the technologies used. Based on the state of the art and following [1], we develop two taxonomies. The first taxonomy depicts eleven functionalities with different dimensions relevant for successfully designing TELEs. Sound knowledge of the functionalities supports research on adaptive learning within TELEs and the implementation of student-centered learning opportunities, which is structured in a second functionality taxonomy for adaptive learning systems (ALSs). We contribute to current research on TELEs and ALSs by providing a structured overview of functionalities and suggestions for further research with our research opportunities. © 2022 IEEE Computer Society. All rights reserved.

First in-neonate use of non-invasive transcutaneous auricular vagus nerve stimulation: 18-month neurodevelopmental and sensory follow-up

Objective: Non-invasive transcutaneous auricular vagal nerve stimulation (taVNS) paired with oral feeding is a novel intervention for infants with feeding delays that may improve feeding and help avoid a gastrostomy tube (Gtube). However, the long-term impact of this neurostimulation on infant's development remains unknown. We investigated the neurodevelopmental and sensory outcomes of infants who received taVNS paired with bottle feeding. Method(s): Twenty-one of 35 toddlers who participated in the open label trial of taVNS paired with one or two feeds a day for 2-3 weeks, underwent comprehensive developmental assessments at 18 months of age using Cognitive Adaptive Test, Clinical Linguistics and Auditory Milestone, and Peabody gross motor scores. Twelve of those assessed achieved full oral feeds ('responders') and 9 had G-tube placed for feeds ('non-responders'). Before COVID, 12 toddlers (5 responders, 7 non-responders) were also assessed in the home using the Bayley-III and Sensory Profile (SP-2) assessments. Area deprivation index (ADI) was used to measure resource poor environments and relate to test scores. We used Fishers exact test and Pearson correlation coefficients to compare neurodevelopmental and sensory performance in responders versus non-responders. Result(s): taVNS responders showed significantly better general sensory processing in SP-2 than did non-responders (p =0.04). There were no significant differences in Bayley-III or CAT/CLAMS/ASQ scores in areas of cognition, receptive language, fine motor, and gross motor skills in this small sample size, but are similar to published scores for preterm infants who received G-tubes. ADI was not significantly associated with neurodevelopmental scores. Conclusion(s): These results suggest that taVNS paired with feeding may have a potential long-term positive neurodevelopmental effect on sensory processing in neonates with poor feeding. The current open-label results need testing in randomized controlled trials of taVNS paired with oral feeding in developmentally delayed infants failing oral feeds. Research Category and Technology and Methods Clinical Research: 12. Vagus Nerve Stimulation (VNS) Keywords: Neurodevelopment, taVNS, feeding, developmental delaysCopyright © 2023

Newcomers' stress and its effects on well-being during an IT organization's socialization process

Previous research in other fields has shown an increasing interest in understanding newcomers' stress and its impact on professionals' well-being. However, we still have a limited understanding of newcomers' stress and its emotional, behavioral, and psychological effects in the information technology organization (IT) and information system (IS) development contexts. Moreover, the newcomers' socialization process into IT work or/and organizations remains unexplored in the IS field. We conducted a qualitative and longitudinal case study (pre-COVID-19) that helped us understand newcomers' stress from IS project work, and how its consequences emerge during their socialization process. We provided information in response to the call for more understanding of newcomers' stress elements in the IT organization and IS project context. It is important to understand different stress elements and their consequences because these elements impact individuals' attitudes, behaviors, job performance, and health among other things. © 2023 IEEE Computer Society. All rights reserved.

Towards an analytical framework to analyse the evolution of innovation systems

The global manufacturing industry plummeted in 2020 due to the COVID-19 pandemic. To ensure the resilient and sustainable fostering of novel manufacturing innovations, the innovation system within which innovations are developed should be nurturing and supportive. Therefore, an analytical framework may be developed to guide innovators through the evaluation of manufacturing innovation systems. To develop the framework, the Design Science Research methodology is utilised, this paper presenting the theoretical framework development phase. The literature on the innovation system framework is utilised to develop a synthesis of innovation system tools to develop a CIMO-based EHA framework - an evolutionary guide to study a system's development over time to determine the influence of context, how and where transformation occurred, and the impact it had on the system's development. The framework also provides a method to define a system's outputs and socio-economic outcomes. © 2022 IEEE.

The Role of Microparticles in Polycystic Ovarian Syndrome. An Updated Review

Microparticles (MPs) are vesicles of less than 1 mum in diameter (submicron vesicles) shed from plasma membranes to cell activation, injury, and apoptosis response. They consisted of membrane proteins and cytosolic material from the cell they originated. These vesicles are vital mediators of pathological and physiological cellular processes. Polycystic ovary syndrome (PCOS) is a regular endocrine, menstrual and metabolic condition that affects 10-15% of females in their reproductive period. Numerous researches have described the association between low-grade chronic inflammation and PCOS;however, the relation is not well understood. Chronic low-grade inflammation is reflected as a risk factor for cardiovascular disease, atherosclerosis, and endothelial dysfunction, and it is linked to abdominal obesity and insulin resistance (IR). MPs may be useful biomarkers for the early detection of cardiovascular disease and thrombosis in PCOS patients. In March 2020, the novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) became pandemic, wreaking havoc on healthcare systems worldwide and the global economy. Obesity, diabetes, and cardiovascular disease have all been linked to COVID-19 increased risk of infection. PCOS patients have recently been identified as an underserved and potentially high-risk demographic for COVID-19 problems. This article tried to review and present recent studies that explored the role of microparticles in polycystic ovarian syndrome.Copyright © 2022 International Journal of Pharmaceutical Research and Allied Sciences. All rights reserved.

The Behavioral and Social Dimension of the Public Health System of European Countries: Descriptive, Canonical, and Factor Analysis.

BACKGROUND: The state and prospects of the healthcare industry of a country are among its top priorities because the quality of life and health of its citizens are indicators of its success and competitiveness. The aim of this study is to conduct a theoretical analysis and qualitative and quantitative assessments of indicators by developing an integral indicator in the context of behavioral, social, demographic, and economic factors that characterize the level of healthcare system development in European countries using multivariate statistical modeling methods. METHODS: The study was implemented using Statistica 10 and Statistica Portable statistical packages. The statistical base of the study was formed using descriptive analysis; a group of 10 European countries was identified using a cluster analysis based on the application of an iterative divisive k-means method. The degree and significance of the interrelations between the components characterizing the studied groups of indicators were determined using canonical correlations by conducting a canonical analysis. Factor modeling is conducted by applying the analysis of the main components to determine the relevant indicators for assessing the level of healthcare system development to build integral indicators of the level of healthcare system development in European countries. RESULTS: The need to improve the level of healthcare system development in European countries was confirmed. Shortcomings and possible reserves for potential improvement of the healthcare system were identified. CONCLUSIONS: The results can help public authorities, officials and employees of the healthcare sector organize and conduct effective, timely, high-quality regulation and adjustment of the regulatory and legislative framework to improve healthcare system development.

A Study on the Impact of COVID-19 Epidemic on Civil Engineering System

In 2020, the COVID-19 epidemic broke out and since then civil engineering systems all over the world have been deeply influenced. The epidemic prevention policies directly made most of conventional works not feasible and new ways of working for civil system are needed like telecommuting and other remote technologies. In this paper, the approaches of system engineering are used to divide normal civil engineering system into many phases from the perspective of civil system development and list impact of the COVID-19 epidemic on each phase. The system analysis make us have a more comprehensive understanding of the problem in civil system and make it possible to optimize a specific phase in more targeted way. Moreover, in this way, we can not only comprehend the characteristics of every phase, but also clarify the relationships between them. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Identifying the value of a clinical information system during the COVID-19 pandemic

The COVID-19 pandemic has significantly augmented the urgency for service providers to identify and develop clinically urgent system alterations into healthcare systems to facilitate antibody testing and treatment interventions. However, it has been difficult to determine how users assess the value of an information system in terms of its functionality and features. Conversely, the system development process to address urgent user requirements, for example, developing new functionality for COVID antibody testing, has been beset by a myriad of difficulties as research to understand the value of specific aspects of clinical information systems has been elusive. This study addresses this knowledge gap by identifying specific aspects of a national clinical information system in Wales, UK. Through a series of semi-structured interviews, a quantitative study of 559 clinical users and a focus group, the study deconstructs system-related value into 14 unique attributes that have been found to vary according to different types of user roles and geographic location. Attribution theory is identified in this study as a novel and effective way to study this multifaceted concept of system value. The identification of component attributes of the value of a clinical information system provides insights for service users, system developers, and organization managers to prioritize and focus their system development activity by using an importance ranking identified through this study. © 2021 Elsevier Ltd

Neurological Manifestations In COVID-19 Patients: An Imaging Review

Background: The COVID-19 pandemic that started in late 2019, has posed a great health challenge to India rapidly elevating our country to the second most affected nation after the United States. While the respiratory manifestations of COVID-19 are widely-known, there is paucity of information on its neurological manifestations in Indian literature. The imaging features of the diverse neurological presentations such as stroke, encephalitis, demyelination, hemorrhages and vascular involvement are reviewed in this article. Objective of the review is to discuss the spectrum of neuroimaging features in COVID-19. Method(s): Multiple publications from systematic and cohort studies on neuroimaging are reviewed in this article. Due permission was obtained from the publishers to reproduce the illustrations because of lack of adequate neuroimaging data in our country. Result(s): Ischemic infarcts, micro-hemorrhages, parenchymal hematomas and white matter changes, both diffuse and focal were the most common manifestations. Acute necrotizing hemorrhagic encephalitis, features resembling posterior reversible encephalopathy syndrome (PRES) and acute demyelinating encephalomyelitis (ADEM), arterial dissections, dural sinus and deep venous thrombosis were reported. Olfactory bulb and white matter signal ratios were elevated in anosmic patients. Micro-structural changes such as remyelination and neurogenesis indicated processes of repair. Conclusion(s): Ischemic and hemorrhagic lesions are the most common neuroimaging abnormalities in COVID-19 patients, though 40% of the studies are normal. Awareness of the imaging features is essential for management of these patients in the current pandemic. Severity of illness and risk of spread of infection are major constraints for neuroimaging. Copyright © 2022 International Medical Sciences Academy. All rights reserved.

Neurodevelopment in Infants with Antenatal or Early Neonatal Exposure to SARS-CoV-2

Background. Antenatal and neonatal viral exposure may put the developing brain at risk for abnormal neurodevelopment. A clinical follow-up program was created in the Congenital Infection Program at Children's National Hospital to follow infants with in utero or early life exposure to SARS-CoV-2. The aim of this study was to determine if infants with early SARS-CoV-2 exposure have abnormal neurodevelopment in infancy. Methods. We performed a retrospective review of all infants evaluated in the follow-up program between 3/2020 - 11/2021. Demographic details, SARS-CoV-2 infection/ testing data, pregnancy/birth data, and specialty consult and NICU records were extracted from infants' medical charts. Infants were divided into 3 SARS-CoV-2 exposure groups: 1) antenatal exposure to symptomatic mother, 2) antenatal exposure to asymptomatic mother, 3) neonatal infection. All infants received a neurologic exam and developmental screening with the Ages and Stages Questionnaire (ASQ) in 5 domains (Communication, Gross Motor, Fine Motor, Problem Solving, Personal-Social) during their evaluation. The ASQ accounts for prematurity. Outcomes of interest were an abnormal neurologic exam or ASQ scores close to or below suggested cut-offs. Multivariate analysis was used to study correlations between exposure group and neurodevelopmental outcomes. Results. Thirty-five infants were seen for up to 3 outpatient visits. Most infants (83%) were exposed in utero - 16 to symptomatic mothers (Group 1) and 12 to asymptomatic mothers (Group 2);1 chart did not have symptom data. Six were exposed only as a neonate (Group 3). Group 1 had abnormal neurologic exams at mean (SD) age 112 (24) days (Table 1) and ASQ scores close to or below cut-offs for all domains (Fig. 1) more frequently than Groups 2 or 3. Group 1 was more likely to score below any ASQ cutoff compared to Group 2 (P=.04);of the 5 domains, differences were significant for Fine Motor (P=.01) and Personal-Social (P=.02). Conclusion. Early SARS-CoV-2 exposure may impact infant development, especially among those exposed in utero to a symptomatic mother. Vaccination and other precautions to reduce spread and symptoms may protect against early neurodevelopmental delays. Future work should prioritize longitudinal follow-up of children with early SARS-CoV-2 exposure. (Table Presented).

Illuminated Devices: A Sociotechnical System to Broaden Access to Digital Assistance

User training and support are crucial factors in bridging the digital divide. The Illuminated Devices sociotechnical system, inspired by our experiences providing online support during COVID-19, will provide personal digital tutoring, accessible anywhere, even with limited prior technology experience. System development leverages a human-centered, design-based research approach. The project will culminate in a pilot rollout and evaluation at three community sites. © ISLS.

Influenza and schizophrenia: Howcan we shed a light in the new virus from an old association?

Introduction: COVID-19 raises serious concerns regarding its unknown consequences for health, including psychiatric long term outcomes. Historically, influenza virus has been responsible for pandemics associated with schizophrenia. Epidemiological studies showed increased risk for schizophrenia in children of mothers exposed to the 1957 influenza A2 pandemic. Controversy remains concerning the mechanisms of pathogenesis underlying this risk. Objective(s): We aim to review the evidence for the association between influenza infection and schizophrenia risk, the possible pathogenic mechanisms underlying and correlate these findings with the schizophrenia hypothesis of neurodevelopment. Method(s): We reviewed literature regarding evidence from epidemiological, translational animal models and serological studies using medline database. Result(s): The biological mechanisms likely to be relevant account to the effects of infection-induced maternal immune activation, microglial activation, infection-induced neuronal autoimmunity, molecular mimicry of the influenza virus, neuronal surface autoantibodies and psychosis with potential infectious antecedents. Influenza infection may fit into the theory of the neurodevelopment of schizophrenia as a factor that alters the normal maturation processes of the brain (possible second or third hit). Conclusion(s): Influenza infection has multiple pathogenic pathways in both pre and post natal processes that might increase the risk of schizophrenia or psychosis. The existing evidence regarding the relationship between influenza virus and psychosis might help us draw similar long-term concerns of COVID-19.

Evaluation of Online Field Practice Information Systems Refer to Agile Method

The company participates in fulfilling the relevance of education and industry through field practice programs. To avoid the risk of spreading the covid-19 virus and ensure the program continues, the implementation of field practice is changed from face-to-face offline activities to online activities. The purpose of the research is to develop an online field practice information system using the agile scrum method and evaluate the effect of the information system (online mentoring activities (X1) and features contained in the application (X2)) on the level of availability of field practice activities (Y) in the company. The information system development method uses the agile scrum method was chosen because it is able to produce quality software and can adapt to changes continuously. The information system is intended to better organize field practice activities for participants and companies so that all parties can benefit from field practice activities. A survey was carried out by distributing questionnaires to respondents with a respondent profile of 90% of students, 8% of employees who became supervisors for field practices, and 2% of employees who became admins of field practices. This survey is distributed via a google form with 100% of respondents filling out and returning the survey results. The questionnaire distributed contained questions about online mentoring activities (X1) and the features in the application (X2) to measure the level of availability of the implementation of field practice through the information system (Y). Based on the evaluation results, it was found that online mentoring activities (X1) and features in the application (X2) have an influence of 63.4% on the availability of field practice activities (Y) in the company. © 2022 IEEE.

3D engineered tissue models for studying human-specific infectious viral diseases

Viral infections cause damage to various organ systems by inducing organ-specific symptoms or systemic multi-organ damage. Depending on the infection route and virus type, infectious diseases are classified as respiratory, nervous, immune, digestive, or skin infections. Since these infectious diseases can widely spread in the community and their catastrophic effects are severe, identification of their causative agent and mechanisms underlying their pathogenesis is an urgent necessity. Although infection-associated mechanisms have been studied in two-dimensional (2D) cell culture models and animal models, they have shown limitations in organ-specific or human-associated pathogenesis, and the development of a human-organ-mimetic system is required. Recently, three-dimensional (3D) engineered tissue models, which can present human organ-like physiology in terms of the 3D structure, utilization of human-originated cells, recapitulation of physiological stimuli, and tight cell-cell interactions, were developed. Furthermore, recent studies have shown that these models can recapitulate infection-associated pathologies. In this review, we summarized the recent advances in 3D engineered tissue models that mimic organ-specific viral infections. First, we briefly described the limitations of the current 2D and animal models in recapitulating human-specific viral infection pathology. Next, we provided an overview of recently reported viral infection models, focusing particularly on organ-specific infection pathologies. Finally, a future perspective that must be pursued to reconstitute more human-specific infectious diseases is presented. Copyright © 2022 The Authors

Brain Organoids as a Model to Study Zika Virus and SARS-CoV-2 Infections

In recent years, we are living through different viral pandemics that result in neurological impairments. Given the human-specific nature of brain development, physiology, and pathology, it is imperative to use human models to investigate the neurological impact of viral infections, such as Zika virus and SARS-CoV-2. Brain organoids are powerful in vitro platforms for the analysis of the effects of viral infections on brain development and function, with prospective application to new emerging viral threats. Using brain organoids, it was possible to show that Zika virus infects neural stem cells, disrupting the cell cycle and neurogenesis, leading to microcephaly, a severe reduction of the brain. On the other hand, while it is still under investigation how SARS-CoV-2 might enter and alter the brain, organoid studies are helping to characterize its neurotropism and potential mechanisms of neurovirulence. Here, we describe a method for the infection of human brain organoid cultures with Zika and Sars-CoV-2 viruses that can be used to study neurodevelopmental phenotypes, alteration in neuronal functionality, host-pathogen interactions, as well as for drug testing. Copyright © 2023, Springer Science+Business Media, LLC, part of Springer Nature.

Webiplan as a Webinar Management Information System for Optimizing Online Seminars During the COVID-19 Pandemic

Humans are facing multiple disruptions caused by the development of the industrial revolution 4.0 and the covid-19 pandemic. This changes the work pattern of the people who are required to carry out all online-based activities, including the implementation of seminars or conferences. The amount of training and socialization carried out by webinars requires a good webinar management system. The purpose of this paper is to develop a web-based information system for webinar activity management under the name webiplan. The method used in system development is the waterfall method. In the waterfall method, there are 5 stages, including requirements, design, implementation, verification, and maintenance. The subjects of this research are prospective end users of the system, namely lecturers and students who are accustomed to participating in webinars. The design and development stages are tailored to the user's needs obtained in the previous phase and are described as product backlog items. At the verification stage, three stages are used to evaluate the feasibility level of the information system, including: unit testing using whitebox testing, validation testing using the blackbox testing method, and compatibility testing. The results of whitebox testing and blackbox testing showed that every feature and user task could run well so as to provide convenience for the organizers and participants in the implementation of the webinar. This Webiplan is also compatible with various web browsers so as to give users flexibility in using it. © 2022 IEEE.

Moving a Project-Based Information Systems Development (ISD) Capstone Module Online: Lessons Learnt

Project-based capstone modules are challenging in a face-to-face environment and even more so when trying to move them online. In an information systems development (ISD) capstone module at a South African university, students are required to work in teams and engage with their real-life clients whilst consulting with their lecturers and completing several deliverables throughout the year. This paper reports on a case where the teaching of this project-based module was moved online due to the COVID-19 worldwide pandemic. The contribution lies in the lessons learnt and insights derived during this time. Students were still able to continue to deliver high quality work that enabled them to meet the learning outcomes of the module. With the IT industry in the post COVID era moving online, working remotely or in a hybrid fashion, the online PBL experience prepared students for the ‘new’ work life which makes them ‘industry ready’. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Donepezil Beyond Alzheimer’s Disease? A Narrative Review of Therapeutic Potentials of Donepezil in Different Diseases

Donepezil hydrochloride is an acetylcholine esterase inhibitor studied and approved to treat Alzheimer’s disease (AD). However, this drug can have positive therapeutic potential in treating different conditions, including various neurodegenerative disorders such as other types of dementia, multiple sclerosis, Parkinson’s disease, psychiatric and mood disorders, and even infectious diseases. Hence, this study reviewed the therapeutic potential of this drug in treating Alzheimer’s and other diseases by reviewing the articles from databases including Web of Science, Scopus, PubMed, Cochrane, and Science Direct. It was shown that donepezil could affect the pathophysiology of these diseases via mechanisms such as increasing the concentration of acetylcholine, modulating local and systemic inflammatory processes, affecting acetylcholine receptors like nicotinic and muscarinic receptors, and activating various cellular signaling via receptors like sigma-1 receptors. Despite many therapeutic potentials, this drug has not yet been approved for treating non-Alzheimer’s diseases, and more comprehensive studies are needed.