Collaborative Research Efforts Research Articles

ADVANCEMENTS AND INNOVATIONS IN PM2.5 MONITORING: A COMPREHENSIVE REVIEW OF EMERGING TECHNOLOGIES

This comprehensive review examines the evolving landscape of PM2.5 monitoring, emphasizing its critical role in environmental chemistry, public health and electrical/electronic engineering. Traditional methods, including manual sampling, gravimetric analysis, and the Federal Reference Method (FRM), have long been relied upon for PM2.5 measurement but are hindered by limitations in spatial coverage, temporal resolution, and cost. In response, emerging technologies such as wireless sensor networks, low-cost sensor technologies, remote sensing techniques, and machine learning algorithms offer promising solutions to overcome these challenges. Through an analysis of case studies and applications in various environmental settings, including urban areas, industrial zones, and indoor environments, the review highlights the effectiveness of monitoring networks in enhancing spatial and temporal resolution, as well as the need for community engagement and real-time monitoring solutions. Furthermore, technological innovations such as sensor fusion, data analytics, and artificial intelligence hold great promise for improving the accuracy, reliability, and accessibility of PM2.5 monitoring data. Regulatory agencies and policymakers play a crucial role in advancing PM2.5 monitoring by harmonizing monitoring standards, strengthening quality assurance measures, and developing evidence-based regulations to mitigate air pollution and protect public health. In conclusion, international cooperation and collaboration are essential for addressing transboundary air pollution and global environmental challenges. Regional monitoring networks and international agreements provide frameworks for data sharing, standardization of monitoring practices, and collaborative research efforts. To this end, stakeholders can leverage PM2.5 monitoring by adopting new technologies, improving data quality, and supporting evidence-based actions to safeguard public health, the environment, and sustainability

Monitoring framework development for a network of multiple laboratory structures

The stadium structures have unique structural features increasing the significance of structural monitoring systems specifically designed for them. Aside from vibrations serviceability concerns and human-induced excitations, the development and propagation of structural damage under all possible atmospheric and seismic conditions need to be closely monitored for structural resiliency and integrity of the stadia. As such, Structural Health Monitoring (SHM) methods combined with effective data evaluation methodologies need to be deployed to monitor the structural performance of stadiums. Even though stadia monitoring has been performed at multiple locations in the world, a web based and real-time SHM network of stadia is not known to authors. As a preliminary study for the network implementation of stadia monitoring with acceleration measurements, the presented work focuses on the fundamental steps to accomplish this goal, with a collaborative research effort between Qatar University, the University of Central Florida, and University of Alberta. The authors performed analytical investigations and experimental testing on stadium-type structures built in laboratory environments for the development of the SHM framework. Specialized signal processing algorithms, sensing suites and approaches considering multi-scale monitoring were used on collected acceleration measurements. The novelty of the work presented in this manuscript are the following items which exist simultaneously in the developed SHM framework. The developed framework is a web-based monitoring application where structural damage is detected in real-time. The proposed methodology operates directly on raw acceleration signals and runs at a network level. With that, the damage detection, damage localization, and damage quantification tasks are performed simultaneously, while the feature extraction and classification stages are combined in one learning body.

Understanding diffuse leptomeningeal glioneuronal tumors.

Diffuse leptomeningeal glioneuronal tumors (DLGNTs) pose a rare and challenging entity within pediatric central nervous system neoplasms. Despite their rarity, DLGNTs exhibit complex clinical presentations and unique molecular characteristics, necessitating a deeper understanding of their diagnostic and therapeutic nuances. This review synthesizes contemporary literature on DLGNT, encompassing epidemiology, clinical manifestations, pathological features, treatment strategies, prognostic markers, and future research directions. To compile the existing body of knowledge on DLGNT, a comprehensive search of relevant databases was conducted. DLGNT primarily affects pediatric populations but can manifest across all age groups. Its diagnosis is confounded by nonspecific clinical presentations and overlapping radiological features with other CNS neoplasms. Magnetic resonance imaging (MRI) serves as a cornerstone for DLGNT diagnosis, revealing characteristic leptomeningeal enhancement and intraparenchymal involvement. Histologically, DLGNT presents with low to moderate cellularity and exhibits molecular alterations in the MAPK/ERK signalling pathway. Optimal management of DLGNT necessitates a multidisciplinary approach encompassing surgical resection, chemotherapy, radiotherapy, and emerging targeted therapies directed against specific genetic alterations. Prognostication remains challenging, with factors such as age at diagnosis, histological subtypes, and genetic alterations influencing disease progression and treatment response. Long-term survival data are limited, underscoring the need for collaborative research efforts. Advancements in molecular profiling, targeted therapies, and international collaborations hold promise for improving DLGNT outcomes. Harnessing the collective expertise of clinicians, researchers, and patient advocates, can advance the field of DLGNT research and optimize patient care paradigms.

Evaluating the student experience at UK-China joint institutes

Joint Institutions are created from two different universities joining together to create a collaborative research and education effort. Compared to traditional universities, several unique challenges present themselves from this arrangement. We are especially interested in the student experience at UK-China Joint Institutes. We therefore organized a conference with the UK-China Joint Institute Alliance to aggregate knowledge on this issue. This paper summarizes the topics presented and discussed at the conference including: student learning and methods with which to measure and improve it, monitoring and incentivizing student engagement, the transition period from high school to university, teaching evaluations of staff, and lastly, learning and teaching during the COVID-19 pandemic.

Long-Term Effects of Different Tillage Systems and Their Impact on Soil Properties and Crop Yields

The scientific aim of this article is to elucidate the effects of various tillage practices on soil properties and crop yields; additionally, it seeks to highlight the significant potential of specific farming systems in enhancing soil organic carbon, thereby positively influencing CO2 emissions from soil. In the experimental station of Vytautas Magnus University, Kaunas District, Lithuania (54°52′50″ N and 23°49′41″ E), a long-term field experiment has been established since 1999, and studies have been conducted since 2003. The soil of the experimental site is classified as Epieutric Endocalcaric Planosol (Endoclayic, Episiltic, Aric, Drainic, Endoraptic, Uterquic), according to the World Reference Base (WRB, 2022). Two primary factors were assessed. Factor A incorporated practices of straw removal versus straw chopping and spreading, while Factor B evaluated a spectrum of tillage techniques: conventional deep plowing and two no-tillage practices, one of which involved cover crops. The findings from this long-term study highlight a significant increase in SOC stocks across all treatments over the 20-year period. Notably, the no-tillage practices, coupled with the spreading of chopped straw, demonstrated the most substantial growth in SOC levels, particularly in the top 0–10 cm soil layer. This trend underscores the effectiveness of minimizing soil disturbance and incorporating organic matter in boosting SOC stocks. The different tillage systems influence CO2 emissions from soil. Initially, direct sowing into uncultivated land, both with and without cover crops, led to a notable reduction in CO2 emissions compared to conventional plowing. However, this effect was found to vary over the growth cycle of the plant, highlighting the dynamic interaction between tillage practices, soil properties, and environmental conditions. Collaborative research efforts that involve farmers, scientists, policymakers, and other stakeholders are crucial for the development of holistic, practical, scalable solutions that enhance the sustainability and productivity of agricultural systems. This study contributes to the growing body of knowledge on sustainable agriculture, providing insights for farmers, agronomists, and policymakers in their quest to promote environmentally sound and productive agricultural systems.

Advancing the Scientific Basis for Determining Death in Controlled Organ Donation After Circulatory Determination of Death.

In controlled organ donation after circulatory determination of death (cDCDD), accurate and timely death determination is critical, yet knowledge gaps persist. Further research to improve the science of defining and determining death by circulatory criteria is therefore warranted. In a workshop sponsored by the National Heart, Lung, and Blood Institute, experts identified research opportunities pertaining to scientific, conceptual, and ethical understandings of DCDD and associated technologies. This article identifies a research strategy to inform the biomedical definition of death, the criteria for its determination, and circulatory death determination in cDCDD. Highlighting knowledge gaps, we propose that further research is needed to inform the observation period following cessation of circulation in pediatric and neonatal populations, the temporal relationship between the cessation of brain and circulatory function after the withdrawal of life-sustaining measures in all patient populations, and the minimal pulse pressures that sustain brain blood flow, perfusion, activity, and function. Additionally, accurate predictive tools to estimate time to asystole following the withdrawal of treatment and alternative monitoring modalities to establish the cessation of circulatory, brainstem, and brain function are needed. The physiologic and conceptual implications of postmortem interventions that resume circulation in cDCDD donors likewise demand attention to inform organ recovery practices. Finally, because jurisdictionally variable definitions of death and the criteria for its determination may impede collaborative research efforts, further work is required to achieve consensus on the physiologic and conceptual rationale for defining and determining death after circulatory arrest.

An Analysis of the Great Disruption of COVID-19 Pandemic

The emergence of the COVID-19 pandemic in late 2019 led to a global crisis of unprecedented scale and complexity that disrupted almost every aspect of human life. The pandemic has taken people, institutions and governments by surprise, so the impact of the virus has been profound and far-reaching. The rapid and relentless spread of the pandemic has challenged global health systems, strained economies, altered daily routines in educational settings and at work, and tested the resilience of communities worldwide. Different studies have identified vulnerabilities in the world’s ability to respond to health emergencies at the individual and societal levels. This study presents a systematic literature review and theoretical analysis of the disruptions caused by COVID-19 to help formulate strategies that encourage flexibility and resilience in the face of such complex and interconnected disruptions. The article analyzes the consequences of the COVID-19 pandemic through the prism of two main theories: the theory of situational crisis communications (type of crisis, its history, responsibility, perceived seriousness, predictable probability, crisis communications strategies, post-crisis reputation), as well as the theory of social learning (learning through observation, modeling and imitation, positive and negative reinforcement in the formation of behavior). In addition, the nature of society’s adaptation to the challenges of the COVID-19 pandemic is also considered through the prism of the theory of subversive innovations (progress in communication technologies, new methods of remote work and education, the entry of social networks into the business world, the introduction of asynchronous communication). The article summarizes the scientific progress on the following main consequences of the COVID-19 pandemic in the workplace, healthcare system, and education. The study provides recommendations on the steps that individuals, institutions and governments can take to increase readiness and ability to adapt to the next crisis (interdisciplinary cooperation, analysis of communication strategies, system analysis). The analysis conducted in the article also made it possible to outline the most promising directions for further qualitative intervention studies (in-depth case studies taking into account the specific context of regions, organizations or communities to identify effective and ineffective policies and practices; qualitative interviews with key stakeholders to understand the intricacies of decision-making in the context of the pandemic crisis); qualitative action studies (building community resilience, collaborative research efforts involving policymakers, health experts and community representatives to develop crisis response policies jointly) and quantitative studies (analysis of pandemic spread, impact of vaccination on disease control, analysis of the economic effects of the pandemic, etc.).

Editorial

Dear Readers, It gives me great pleasure to announce the third regular issue of 2024. In this issue, 6 papers by 20 authors from 6 countries - China, Ecuador, Spain, The Netherlands, Turkey, United Kingdom - cover various topical aspects of computer science. In a continuous effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends.  As always, I would like to thank all the authors for their sound research and the editorial board for their extremely valuable review effort and suggestions for improvement. I also want to thank the readers for their interest on our articles indicated by an increasing access number and PDF downloads. These contributions, together with the generous support of the consortium members, sustain the quality of our journal.  In the third regular issue, I am very pleased to introduce the following 6 accepted articles: In a collaboration between researchers from The Netherlands and the United Kingdom, Jan Bergstra and John V. Tucker discuss their research on synthetic fracterm calculus, more specifically they introduce a new intermediate and informal axiomatisation of elementary arithmetic. Yasir Yakup Demircan and Serhat Ozekes from Turkey highlight their research on least significant bit steganography technique based on image segmentation. In a collaborative research effort between Spain and Ecuador, Alberto Jimenez-Macias, Pedro Muñoz-Merino, Margarita Ortiz-Rojas, Mario Muñoz-Organero, and Carlos Delgado-Kloos present their study on a systematic literature review on content modeling using machine learning algorithms in smart learning environments considering content indicators based on student interaction. Melih Kuncan, Kaplan Kaplan, Yılmaz Kaya, Mehmet Recep Minaz, and H. Metin Ertunç from Turkey focus on computer numerical control (CNC) systems, more specifically on classification of CNC vibration speeds by Heralick features. Lifang Ren, Jing Li, and Wenjian Wang from China address in their research support vector regression (SVR) and the location-aware method for mobile QoS prediction to overcome the difficulty caused by the sparsity of data and to predict the unknown QoS more accurately. Last but not least, Emre Sadıkoğlu, İrfan Kösesoy, and Murat Gök from Turkey look into the vulnerability of artificial systems to cyber-attacks by applying a gradient descent-based method to generate fake data. Enjoy Reading! Cordially,  Christian Gütl, Managing Editor-in-Chief Graz University of Technology, Graz, Austria

Sustainable development insights: synergizing publishing and academic research to propel SDGs Forward

Objective: To explore the integral roles of the publishing industry and Scopus, an academic research tool, in supporting and advancing the United Nations Sustainable Development Goals (SDGs). Method: Qualitative analysis focusing on the impact of publishing on SDG awareness, the evolution of the SDG Publishers Compact, Scopus's role in integrating SDGs, and the broader implications of these initiatives. Results: Identification of challenges and opportunities in implementing the Compact's objectives, highlighting the importance of collaborative research efforts to tackle complex global challenges, with special emphasis on Scopus's inclusion of SDGs. Practical Implications: Highlights the synergistic impact of publishing and academic tools in advancing the sustainable development agenda, suggesting the need for collaboration among publishers, researchers, policymakers, and other stakeholders. Conclusions: The integration of SDGs into the publishing industry and academic tools represents a significant step forward in the global effort to achieve sustainable development, emphasizing the importance of information and knowledge in fostering a more informed, engaged, and proactive global community.

Use of Artificial Intelligence Tools for Research by Medical Students: A Narrative Review.

With the advent of the era of digitalization, a new door has opened for the development of artificial intelligence (AI)-driven tools/algorithms that can help analyse the huge amount of data uploaded onto the cloud. AI-based tools/algorithms have created a niche in the field of research. AI has enabled researchers and practitioners to access and evaluate an enormous number of scientific papers more effectively. This can link similar studies from the past and highlight research gaps, thus accelerating the literature review, evidence generation, and knowledge discovery process. Medical students can obtain help from various AI-based solutions for literature organization and citations. These tools/algorithms facilitate secure information exchange, collaborative research efforts, and communication among multiple research centres. However, AI-driven research requires the guidance and supervision of human experts for better accuracy, coherence, and credibility of the content entering scientific databases. The key objective of this review is to discuss and evaluate various AI-based tools/algorithms and their key features that can assist medical students in medical research.

“We have to change our mindsets”: a qualitative study of barriers and facilitators in research collaboration across integrated care system organisations

The introduction of Integrated Care Systems (ICS) in England aimed to increase joint planning and delivery of health and social care, and other services, to better meet the needs of local communities. There is an associated duty to undertake collaborative research across ICS partners to inform this new integrated approach, which might be challenging given that organisations span health, local authority, voluntary and community sector, and research. This study aimed to explore the appetite for collaborative Research and Innovation (R&I) across ICSs, potential barriers and solutions. This qualitative study involved semi-structured interviews with 24 stakeholders who held senior positions within organisations across two ICS areas (Staffordshire and Stoke-on-Trent; Shropshire, Telford and Wrekin). Interview transcripts were analysed using inductive and deductive analysis, first mapping to the Theoretical Domains Framework (TDF), then considering key influences on organisational behaviour in terms of Capability, Opportunity and Motivation from the COM-B Behaviour Change Wheel. There were fundamental limitations on organisational opportunities for collaborative R&I: a historical culture of competition (rather than collaboration), a lack of research culture and prioritisation, compounded by a challenging adverse economic environment. However, organisations were motivated to undertake collaborative R&I. They recognised the potential benefits (e.g., skill-sharing, staff development, attracting large studies and funding), the need for collaborative research that mirrors integrated care, and subsequent benefits for care recipients. Related barriers included negative experiences of collaboration, fear of failing and low confidence. Capability varied across organisations in terms of research skills and confidence, which reflected the range of partners (from local authorities to NHS Trusts, primary care, and academic institutions). These findings indicate a need to shift from a culture of competition to collaboration, and to help organisations across ICS to prioritise research, and share resources and skills to mitigate the limiting effects of a constrained economic environment. This could be further explored using a systems change approach, to develop the collaborative research efforts alongside the overarching move towards integrated care.

Neuroimaging findings in children with COVID-19 infection: a systematic review and meta-analysis

The COVID-19 pandemic has impacted individuals differently, and there's been a growing body of evidence pointing to neurological complications caused by the virus. However, our understanding of the range of neurological issues linked to SARS-CoV-2 infection in children is limited. This systematic review and meta-analysis aimed to assess the abnormal neuroimaging findings in pediatric COVID-19 patients, shedding light on this crucial aspect of the disease's impact on children. We conducted an extensive search in the PubMed, Medline, and ScienceDirect databases for observational studies reporting neuroimaging findings of the brain and spinal cord in children with COVID-19 between December 1, 2019, and October 30, 2021. Grey literature sources, including medRxiv and Google Scholar, were also explored. Pooled proportions of abnormal neuroimaging findings, categorized into neurovascular findings, ADEM-like lesions, encephalitic pattern, myelitis, transient splenial lesions, and other anomalies, were calculated using a random-effects model. Between-study heterogeneity was assessed using the χ2 statistic for pooled proportions and the inconsistency index I2. The Quality of the studies was evaluated using the NIH Quality Assessment Tool and the adapted Newcastle–Ottawa Scale. Our search yielded 9,605 articles, with 96 studies (involving 327 pediatric patients) included in the qualitative analysis. Of these, five reports (encompassing 111 patients) underwent quantitative analysis. The pooled proportion of pediatric COVID-19 patients with neurological symptoms and exhibiting abnormal neuroimaging findings was 43.74%. These findings were further categorized into neurovascular findings (8.22%), ADEM-like lesions (7.69%), encephalitic pattern (13.95%), myelitis (4.60%), transient splenial lesions (16.26%), and other abnormalities (12.03%). Insignificant between-study heterogeneity was observed in all categories, and our analysis did not reveal significant publication bias. In conclusion, a substantial proportion of pediatric COVID-19 patients with neurological symptoms have abnormal neuroimaging findings, underscoring the need for vigilant monitoring of neurological complications in this vulnerable population. Standardized reporting and long-term follow-up studies are essential to fully understand the implications of these findings. Collaborative research efforts will deepen our understanding of COVID-19's neurological dimensions in children and enhance clinical care for this population.

Development of a Cost Normalization Framework for Healthcare Facilities Cost Elements

Healthcare facilities (HCFs) are complex building structures that are becoming more challenging with ever-changing codes and regulations. Previously completed projects become a basis for future guidance regarding costs and scope. A robust normalization framework to assess previously completed projects with today’s costs and location will benefit various stakeholders. The current study provides a complete picture for normalizing the overall project cost and phase cost by life cycle and HCF cost elements. This study aims to develop a cost normalization approach tailored to HCF-specific cost elements to extend the normalization framework for the overall project cost. Further, the researchers developed a distinct framework for normalizing the effect of shell space on the normalization of Total Installed Cost (TIC) to establish fixed cost adjustment rates for cold and warm shell spaces in HCFs, which can increase the accuracy of cost normalization of the overall project cost. This study identified an appropriate set of cost indices for normalizing HCF cost elements using publicly available indices. The cost elements identified for normalization included HCF-specific and Construction Specifications Institute Master Format (CSIMF) cost elements for assigning individual normalization procedures. This study provides individual and unique approaches for normalizing all identified cost elements, such as mechanical, concrete, etc. The initial framework was evaluated through a case study analysis that developed into the proposed approach built upon the collaborative efforts of academic researchers and industry experts. This study introduced shell space cost adjustment rates for warm and cold shell spaces to further develop a space normalization framework. This paper addresses the challenges of normalizing HCF project costs using the breakdown of HCF cost elements. Moreover, the paper provides the HCF’s overall cost normalization approach, emphasizing cost elements that allow accurate comparisons between various HCFs for early scope and cost guidance.

Reflections on Canadian Soundings: Plumbing the Depths of Voice in Canadian Theatre/Profondeurs de la Voix du Théâtre Canadien

This contribution surfaces some of the key research provocations voiced through Canadian Soundings, a collaborative research effort that spanned 2020 through 2022, and which culminated in the organization of the symposium Canadian Soundings: Plumbing the Depths of Voice in Canadian Theatre/Profondeurs de la Voix du Theatre Canadien, hosted in digital and in-person formats across the fall of 2022 at the University of Victoria. This event brought together a network of scholars and practitioners to deepen the understanding of voice as a central conduit for the charting of Canadian theatre’s past, present, and future. This contribution first introduces and overviews the activities that constituted that event before surfacing the organizer’s reflections on the workshops, round table discussions, and activities programmed as part of the symposium.

Collaborative research efforts drive therapeutic advancements for free sialic acid storage disorder (FSASD)

Collaborative research efforts drive therapeutic advancements for free sialic acid storage disorder (FSASD)

Allyship in the university setting: supporting women's success

PurposeThe lack of progress toward equity in the U.S. is evident across many spheres of society, academia notwithstanding. Women academicians, in particular, face many barriers that prevent them from advancing–including a continued unsupportive climate, competing work and family demands, and interpersonal discrimination. This paper reflects on a collaborative research effort in the United States to enhance allyship for women in academia.Design/methodology/approachThe authors partnered with a major university to hold ally training for department chairs during a university-wide department chair meeting. The authors developed a methodology for creating and implementing training content using a focus-group-based training needs analysis and a diversity science grounded approach to allyship training. The authors followed this up with surveys to assess impact.FindingsParticipants indicated that they learned from the training, but participation in follow-up data collection was limited, hampering the ability to conduct rigorous quantitative analyses around intervention impact.Research limitations/implicationsAlthough the sample size may have been too limited to detect effects, the current study provides an approach that furthers the way in which researchers and practitioners can better assess the impact of allyship to women academicians.Practical implicationsPublished research on allies is very limited. The current research examines allies in the context of helping women in academia.Originality/valueDespite widespread recognition of the importance of first-line supervisors in support of diversity, limited intervention designs are available. The authors add to the extant literature on diversity interventions, while highlighting barriers to rigorous intervention evaluation.

Extracellular Vesicles and Exosomes: Novel Insights and Perspectives on Lung Cancer from Early Detection to Targeted Treatment.

Lung cancer demands innovative approaches for early detection and targeted treatment. In addressing this urgent need, exosomes play a pivotal role in revolutionizing both the early detection and targeted treatment of lung cancer. Their remarkable capacity to encapsulate a diverse range of biomolecules, traverse biological barriers, and be engineered with specific targeting molecules makes them highly promising for both diagnostic markers and precise drug delivery to cancer cells. Furthermore, an in-depth analysis of exosomal content and biogenesis offers crucial insights into the molecular profile of lung tumors. This knowledge holds significant potential for the development of targeted therapies and innovative diagnostic strategies for cancer. Despite notable progress in this field, challenges in standardization and cargo loading persist. Collaborative research efforts are imperative to maximize the potential of exosomes and advance the field of precision medicine for the benefit of lung cancer patients.

Teaching Literacy to Filipino Deaf Students in Multilingual Classrooms Amid a Pandemic.

This article describes the current landscape of teaching literacy to Filipino Deaf students in a multilingual, multi-cultural classroom amid the pandemic. The article highlights the uniqueness of Filipino Deaf students as multilingual learners in a multi-cultural classroom and the lack of literature and research on Deaf multilingualism both locally and globally. Moreover, the article focuses on the role of Deaf teachers in teaching Filipino Deaf students, especially in their literacy development. The steps being done to ensure that the curriculum is inclusive of Deaf learners who use Filipino Sign Language (FSL), teacher preparation and materials development, and the challenges in the shift to distance learning amid the COVID-19 pandemic are also discussed. Future directions and recommendations include review of curriculum and adaptation, enhancement of teacher preparation, promotion of collaborative teaching and research efforts, and the production of more appropriate and accessible instructional materials for Deaf students.

Editorial

Dear Readers,  At the end of this year, it gives me great pleasure to announce the eleventh regular issue of 2023. In this issue, various topical aspects of computer science are covered in 6 articles by 18 authors from 7 countries (Argentina, Brazil, China, France, Germany, Spain, and Turkey). I would like to thank all the authors for their sound research and the editorial board for the highly valuable review effort and comments for improvement. These contributions, together with the generous support of the consortium members, sustain the quality of our journal. I am looking forward to continuing my work as Managing Editor-in-Chief with the J.UCS community.  In an ongoing effort to further strengthen our journal, I would like to expand the editorial board: If you are a tenured associate professor or above with a strong publication record, you are welcome to apply to join our editorial board. We are also interested in high-quality proposals for special issues on new topics and trends. Please consider yourself and encourage your colleagues to submit high-quality articles or special issue proposals for our journal. Finally, we are looking for further financial support from potential consortium members to cover the costs of publishing the journal next year.  In this regular issue, I am very pleased to introduce the following 6 accepted articles: F. Kebire Bardak, M. Nuri Seyman, and Feyzullah Temurtaş from Turkey present in their research a hybrid algorithm for emotion classification based on electroencephalogram signals, which is composed of a radial basis function neural network and a probabilistic neural network. In a collaborative research effort between Spain and France, Anita Herrera, Ángel Arroyo, Alfredo Jiménez and Álvaro Herrero conduct a comprehensive review of the different techniques and models with regard to Artificial Intelligence when applied to the tourism industry. In a collaboration between researchers from Brazil and Germany, Ana Cristina Alves de Oliveira, Marco Aurélio Spohn, Christof Fetzer, Le Quoc Do, and André Martin aim to address the cost problem of DaaS by developing a model that optimizes the cost of querying distributed data sources over virtual machines spread across multisite data centers. Herminia Beatriz Parra and Marcela Vegetti from Argentina present in their article OntoFoCE, Ontology for Electronic Mail Forensics, which is a specific ontology for the forensic analysis of emails to help the computer expert in validating an email presented as judicial evidence. Valdicélio Santos and Michel S. Soares from Brazil propose a framework, and then the design and further evaluation of a web-based application to support software architects in using the activities and tasks of the architecture conceptualization clause based on the ISO/IEC/IEEE 42020 framework. Last but not least, Yunwu Xu and Yan Li from China contribute to the improvement of an existing wireless sensor network coverage optimization method which is based on the pigeon-inspired optimization algorithm.  Season greetings to all of you, relaxing holidays and ‘Enjoy Reading’!  Cordially,  Christian Gütl, Managing Editor  Graz University of Technology, Graz, Austria

Towards an understanding of the aetiology, genomic landscape and management of Moebius syndrome

Moebius Syndrome (MBS) is a rare neurodevelopmental disorder characterised by facial paralysis and ocular motility defects. Its origins trace back to the 19th century, with its clinical delineation attributed to German neurologist Paul Möbius. The syndrome presents with a spectrum of variable systemic clinical features, necessitating a multidisciplinary approach to diagnosis and management. The prevalence of MBS has been estimated to range between 1 in 50,000 to 1 in 500,000 individuals, with a universal distribution across ethnicities and genders. The aetiology of MBS is poorly understood but is likely multifactorial, with developmental, genetic, and environmental factors playing roles. Recent research has identified potential genetic contributors, REV3L and PLXND1, but further work is needed to elucidate the genetic landscape of this rare neurodevelopmental disorder. Here we describe the current understanding of the clinical features, aetiology, genetic landscape, and management of MBS, emphasising the importance of early diagnosis and a holistic approach to patient care. We also propose a set of criteria aimed at standardising MBS reporting to enhance information sharing and bolster MBS research initiatives. Collaborative research efforts in the future hold the potential to offer transformative insights and improved outcomes for affected individuals and their families.