Collaborative Support Research Articles

Exploring the impact of artificial intelligence on higher education: The dynamics of ethical, social, and educational implications

The increasing prevalence of Artificial Intelligence (AI) in higher education underscores the necessity to explore its implications on ethical, social, and educational dynamics within the sector. This study aims to comprehensively investigate the impact of AI on higher education in Saudi Arabia, delving into stakeholders’ attitudes, perceptions, and expectations regarding its implementation. The research hones in on key facets of AI in higher education, encompassing its influence on teaching and learning, ethical and social implications, and the anticipated role of AI in the future. Employing a quantitative approach through an online survey questionnaire (N = 1113), this study reveals positive attitudes toward AI in higher education. Stakeholders recognize its potential to enhance teaching and learning, streamline administration, and foster innovation. Emphasis is placed on ethical considerations and guidelines for AI implementation, highlighting the imperative need to address issues such as privacy, security, and bias. Participants envision a future characterized by personalized learning experiences, ethically integrated AI, collaboration, and ongoing support for lifelong learning. Furthermore, the results illuminate the intricate interplay between AI usage, purposes, difficulties, and their impact on attitudes, perceptions, and future implications. Accordingly, the research underscores the necessity for a comprehensive understanding of AI integration, considering not only its technical aspects but also the ethical, social, and educational dimensions. By acknowledging the role of AI uses, AI usage purposes, and addressing associated difficulties, educational stakeholders can work towards harnessing the benefits of AI while ensuring responsible and effective implementation in teaching and learning contexts.

Requirement and User Modeling for Decision Support System Children Disabilities in Pandemic

The Covid-19 pandemic is not only felt by parents and children but also by children with special needs. Public Health England reported in 2020-2022, more than 400 per 100 thousand people with disabilities died from Covid-19. Children with special needs or student disabilities receive special attention because they are not like normal children. Children with disabilities cannot do activities like people in general. Children with special needs have several limitations, there are limitations in movement, hearing, seeing, speaking, and several other limitations. This research is used to determine the initial requirements for children with special needs during the Pandemic. Preparing systems such as Technology Collaborative or Decision Support Systems (DSS), a place with the support of a Red Zone Location is an anticipation for children's activities in the environment when dangerous conditions occur during the Pandemic. The requirement-capturing Analysis process is crucial because it determines what is needed in this research. Requirement Capturing is very important before heading to the process of making technology or DSS. Requirement Capturing includes the process of user requirements and capturing user modeling. The User Modeling process will be carried out. In this research, Requirement Capturing and User Modeling includes Making User requirements, Initial use case diagrams to processes, activity diagrams, and other user modeling according to the capturing process.

Mental distress and well-being in geriatric professionals: The role of job satisfaction

BackgroundAs limited evidence is available on health professionals’ experience during the post-pandemic period, the interplay between job satisfaction components, mental distress and well-being was investigated among workers of an Italian geriatric institution. MethodsIn Spring 2022, 205 participants (females =75.6%), primarily healthcare assistants (36.6%), nurses (16.6%), and rehabilitation professionals (14.1%), completed the General Health Questionnaire (GHQ), the Mental Health Continuum-Short Form (MHC-SF), and the Job Satisfaction Questionnaire. Data analyses comprised Multiple Regressions, Relative Weight Analyses, and ANOVA. FindingsSatisfaction with working conditions and leadership exhibited negative associations with distress, while satisfaction with patients, colleagues, results, and leadership were positively correlated with well-being. Participants with high well-being levels scored significantly lower across mental distress dimensions than participants reporting poor well-being levels. ConclusionsResults showed that specific job satisfaction components relate differently to distress and well-being, suggesting the need for implementing organizational resources, psychological support, and interprofessional collaboration in healthcare services.

Electronic Health Record-Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study.

The medical knowledge graph provides explainable decision support, helping clinicians with prompt diagnosis and treatment suggestions. However, in real-world clinical practice, patients visit different hospitals seeking various medical services, resulting in fragmented patient data across hospitals. With data security issues, data fragmentation limits the application of knowledge graphs because single-hospital data cannot provide complete evidence for generating precise decision support and comprehensive explanations. It is important to study new methods for knowledge graph systems to integrate into multicenter, information-sensitive medical environments, using fragmented patient records for decision support while maintaining data privacy and security. This study aims to propose an electronic health record (EHR)-oriented knowledge graph system for collaborative reasoning with multicenter fragmented patient medical data, all the while preserving data privacy. The study introduced an EHR knowledge graph framework and a novel collaborative reasoning process for utilizing multicenter fragmented information. The system was deployed in each hospital and used a unified semantic structure and Observational Medical Outcomes Partnership (OMOP) vocabulary to standardize the local EHR data set. The system transforms local EHR data into semantic formats and performs semantic reasoning to generate intermediate reasoning findings. The generated intermediate findings used hypernym concepts to isolate original medical data. The intermediate findings and hash-encrypted patient identities were synchronized through a blockchain network. The multicenter intermediate findings were collaborated for final reasoning and clinical decision support without gathering original EHR data. The system underwent evaluation through an application study involving the utilization of multicenter fragmented EHR data to alert non-nephrology clinicians about overlooked patients with chronic kidney disease (CKD). The study covered 1185 patients in nonnephrology departments from 3 hospitals. The patients visited at least two of the hospitals. Of these, 124 patients were identified as meeting CKD diagnosis criteria through collaborative reasoning using multicenter EHR data, whereas the data from individual hospitals alone could not facilitate the identification of CKD in these patients. The assessment by clinicians indicated that 78/91 (86%) patients were CKD positive. The proposed system was able to effectively utilize multicenter fragmented EHR data for clinical application. The application study showed the clinical benefits of the system with prompt and comprehensive decision support.

Recommendations on Monitoring and Replacement of Antithrombin, Fibrinogen, and Von Willebrand Factor in Pediatric Patients on Extracorporeal Membrane Oxygenation: The Pediatric Extracorporeal Membrane Oxygenation Anticoagulation CollaborativE Consensus Conference.

To derive systematic review informed, modified Delphi consensus regarding monitoring and replacement of specific coagulation factors during pediatric extracorporeal membrane oxygenation (ECMO) support for the Pediatric ECMO Anticoagulation CollaborativE. A structured literature search was performed using PubMed, Embase, and Cochrane Library (CENTRAL) databases from January 1988 to May 2020, with an update in May 2021. Included studies assessed monitoring and replacement of antithrombin, fibrinogen, and von Willebrand factor in pediatric ECMO support. Two authors reviewed all citations independently, with conflicts resolved by a third reviewer if required. Twenty-nine references were used for data extraction and informed recommendations. Evidence tables were constructed using a standardized data extraction form. Risk of bias was assessed using the Quality in Prognosis Studies tool. The evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation system. A panel of 48 experts met over 2 years to develop evidence-based recommendations and, when evidence was lacking, expert-based consensus statements. A web-based modified Delphi process was used to build consensus via the Research And Development/University of California Appropriateness Method. Consensus was defined as greater than 80% agreement. We developed one weak recommendation and four expert consensus statements. There is insufficient evidence to formulate recommendations on monitoring and replacement of antithrombin, fibrinogen, and von Willebrand factor in pediatric patients on ECMO. Optimal monitoring and parameters for replacement of key hemostasis parameters is largely unknown.

Challenges Faced by Cancer Patients during the COVID-19 Pandemic, a Vision for the Future: A Qualitative Study.

Cancer is a disease that affects various aspects of patients' lives. The COVID-19 pandemic has presented numerous challenges and difficulties for cancer patients, exacerbating their already vulnerable conditions. Identifying the challenges these patients face can be a practical step toward improving their quality of care in future pandemics. This qualitative study aims to identify the challenges cancer patients encounter during the COVID-19 pandemic. This is a qualitative study with a content analysis approach. Participants included 16 cancer patients hospitalized at Tabriz Shahid Ghazi Hospital in 2020. Sampling was conducted purposefully, and interviews were continued until data saturation was achieved. All interviews were recorded and transcribed at the earliest opportunity. The data were analyzed using content analysis based on the Lundman and Graneheim method. Data analysis led to the identification of four categories of challenges faced by cancer patients during the pandemic: Mental derangement and fear (fear of premature death, fear of contracting COVID-19, fear of disease recurrence), ineffective nurse-patient communication (personal protective equipment and distant care from nursing stations), economic instability (difficulties in providing for the family's livelihood and increased medical expenses), and reduced access to services (Contracting of infection among doctors and nurses and redirection of resources and services to COVID-19 patients). Participants expressed that these challenges were additional to their pre-existing difficulties and were intensified by the COVID-19 pandemic. Team support and interdisciplinary collaboration can be beneficial in addressing mental derangement and severe fears and solving problems comprehensively. Using various methods to facilitate safe and continuous communication between nurses and patients aside from their beds can give patients a greater sense of calmness. Financial facilitations can alleviate pressure on patients, and planning and communication strategies for accessing care and treatment services during a pandemic should be organized in advance.

The Role of Educators in Facing the Digital Era Through Innovative Learning in PPKN Subjects

This article discusses the transformation of the educational landscape due to innovation and technology in the digital era. Presents an analysis of the use of new learning models to improve teacher competency in the digital era, as well as challenges and solutions in adopting innovative learning, especially in Pancasila and Citizenship Education (PPKn) subjects. Through a literature review method, this article identifies innovative strategies, required teacher competencies, and challenges faced, such as lack of resources and technology skills. The results emphasize the importance of increasing teacher competency, technology integration, and collaborative support to create innovative learning environments in the digital era.

Clinical learning experiences of healthcare professional students in a student-led clinical learning environment (SLCLE) – A mixed methods evaluation

AimTo evaluate healthcare professional (HCP) students clinical learning experiences’ whilst undertaking placements in a student-led clinical learning environment (SLCLE) and any changes in self-reported ratings of confidence. BackgroundThe English NHS Long Term Workforce Plan (2023) highlights the need to expand domestic education of HCPs to meet workforce shortages. The demand for quality clinical placements to support the preparation of HCP students remains a challenge globally. A creative solution has been the development of student-led learning clinical environments in healthcare settings. SLCLEs provide high-quality learning experience, increase clinical placement capacity whilst maintaining patient care standards. A multisite NHS Trust adopted this model as evidence suggests HCP students will be better prepared on qualification to adopt registered practitioner professional responsibilities. This model has been integrated across three hospital sites within a large teaching hospital, providing care for a diverse population and designed to accommodate students from a range of HCP disciplines and higher educational institutions. DesignA mixed methods convergent design. MethodsAn online survey was administered to SLCLE allocated nursing and allied health profession (AHP) undergraduate and graduate-entry first, second and third-year students (n=132). Face to face focus groups/individual interviews were undertaken with a purposive sample of student participants (n=80) to evaluate their experiences of clinical learning in SLCLEs. Survey data were analysed using descriptive statistics and paired t-tests, interviews using framework method. ResultsUndergraduate and graduate-entry students from four UK universities completed the survey (n=132), 103 students (78 %) responded. Most were year 2 students (n=43/42 %), pursuing nursing programmes (n=82/80 %). Most considered the SLCLE met their expectations (n=76/74 %), reported increased confidence post-placement (n=84/82 %), felt supported by staff (n=80/78 %), peers (n=93/90 %) and clinical educators (n=93/90 %). Self-reported confidence scores post-SLCLE were significantly higher than pre-SLCLE. On-line pre-placement information was infrequently accessed yet identified as an omission. Four themes were identified: (i) preconceptions and initial anxiety; (ii) empowerment, growth and a unique learning experience; (iii) collaborative inter-professional learning and support; and (iv) insights and anticipations. ConclusionsThe SLCLE allocation enhanced students’ confidence and knowledge. Support from clinical educators, ward staff and doctors was perceived as invaluable for creating a positive learning culture. Peer support and opportunities to lead care delivery contributed to students’ professional development. The format and method for providing pre-placement information needs review as do strategies for avoiding delays in completing assessment documentation. Overall, the SLCLE experience offers much potential as a nurturing and effective learning environment for HCP students.

INNOVATIVE TECHNOLOGIES IN CONSTRUCTION WASTE MANAGEMENT IN ACCORDANCE WITH CIRCULAR ECONOMY

This study analyzes contemporary innovative approaches and technologies aimed at reducing construction waste and promoting its recycling, while also exploring their implementation potential within a circular economy framework. The scientific novelty lies in the examination of innovative strategies enhancing construction waste management within the circular economy context, contributing significantly to understanding and utilizing such technologies. Additionally, the practical value of this work is underscored by its provision of actionable insights and global best practices in implementing innovative technologies for construction waste management. The article delves into the significance and opportunities of utilizing innovative technologies within the context of a circular economy, addressing pertinent issues, expanding the understanding of circular economy concepts in construction, and offering practical examples and recommendations for implementation. The impact of circular economy principles on waste reduction and resource optimization in construction is thoroughly analyzed, with a focus on tools and technologies such as secondary resource utilization, 3D printing, Internet of Things, and artificial intelligence to enhance waste management processes, ensuring their sustainability and efficiency. Furthermore, the article showcases successful innovative projects and initiatives globally while examining challenges and future prospects. It advocates for the active adoption of innovative technologies in construction and waste management to foster sustainable development and environmental preservation. By highlighting the intersection of cutting-edge technology and environmental sustainability, this study provides a comprehensive overview of how the construction industry can evolve to meet contemporary environmental challenges, ultimately contributing to a more sustainable and efficient construction sector. The research emphasizes the critical role of integrating technological advancements with circular economy principles to address the mounting issue of construction waste. It explores how the adaptation of these advanced technologies can lead to substantial reductions in waste generation, improved resource efficiency, and the development of sustainable construction practices. The study also underscores the importance of policy support and stakeholder collaboration in facilitating the widespread adoption of these innovative solutions. In conclusion, this article not only presents a detailed analysis of current trends and technologies in construction waste management but also offers a forward-looking perspective on the future of the industry. It serves as a call to action for policymakers, industry professionals, and researchers to embrace and invest in innovative technologies that align with the principles of the circular economy, ensuring a resilient and environmentally responsible construction sector for future generations. Keywords: technologies, management, waste, innovations, economy, efficiency, resources, sustainability, materials, cycle

A Conception of Collaborative Decision Support Systems: Approach and Platform Architecture

The paper describes a general conception of collaborative decision support systems, in which teams providing decision support a) are formed flexibly in accordance with the problem and b) consist of both human experts and intelligent agents implementing AI methods and techniques. An analysis of the key problems of creating collaborative decision support systems based on the collaboration of humans and AI is carried out, the following problems are highlighted: ensuring interoperability (mutual understanding) between heterogeneous team members, reconciling differing positions of participants, ensuring trust between participants, ensuring the effectiveness of joint actions planning and maintaining a balance between predefined workflows and self-organization. Principles for constructing such systems have been formed, offering solutions to the identified problems. In particular, it is proposed to employ an ontology-oriented representation of information about the problem (in the form of multi-aspect ontology), a set of methods for monitoring team activities, reputation scheme, elements of explainable AI, as well as mechanisms of limited self-organization. The proposed concept forms the basis of a software platform for the development of collaborative decision support systems, the main architectural provisions of which are also presented in the paper. The use of the platform is illustrated by an example from the field of rational management of road infrastructure and the creation of a collaborative DSS for the development of measures to reduce road accidents.

Assessing the Impact of Multidisciplinary Collaboration on Quality of Life in Older Patients Receiving Primary Care: Cross Sectional Study.

The growing aging population presents unique challenges in maintaining their quality of life (QoL), which encompasses physical, psychological, and social wellbeing. This study aimed to assess the impact of multidisciplinary collaboration on QoL among older patients receiving primary care. A cross-sectional study was conducted involving a purposive sampling of 200 participants aged 60 years and above from Primary Healthcare Centers in Al-Ahsa, Saudi Arabia, between March and May 2024. Data were collected using standardized tools: SF-36 for health-related QoL, Multidisciplinary Collaboration Evaluation Tool (MCET), and Lubben Social Network Scale (LSNS). Multivariate regression analyses were performed to examine the associations between multidisciplinary collaboration, social support, and QoL outcomes. Multidisciplinary collaboration exhibited a significant positive association with improvements in physical functioning (β = 2.35, p < 0.001), mental health (β = 3.01, p < 0.001), and general health perceptions (β = 2.12, p < 0.001). Key drivers of effective collaboration included effective communication (β = 0.48, p < 0.001), coordination (β = 0.42, p < 0.001), and patient involvement (β = 0.40, p < 0.001). Social support, particularly from friends (β = 0.33, p < 0.001) and family (β = 0.28, p < 0.001), was also a robust predictor of better QoL. Younger age, female gender, married status, and absence of chronic conditions were associated with greater QoL improvements from multidisciplinary care. Multidisciplinary collaboration and social support networks significantly enhance QoL among older primary care patients. Healthcare systems should prioritize developing collaborative care models, fostering interdisciplinary teamwork, and integrating strategies to promote social connectedness for the aging population.

Potential profiling of self-management skills in older co-morbid patients

BackgroundUnder the general trend of global aging, geriatric comorbidity is increasingly common, which may have some impact on the quality of life of the older people. Self-management can effectively improve patient compliance, subjective initiative, and improve patient quality of life. However, the present situation of self-management in different old people is different. Therefore, this study classifies older co-morbid patients through potential profiling analysis, understands the category characteristics of self-management level of older co-morbid patients, and discusses the influencing factors of self-management level of different categories of older co-morbid patients, which can provide reference for personalized intervention programs for different comorbidity characteristics of elderly people in the future. MethodThrough a cross-sectional study, 616 cases of older co-morbid patients in three districts of Zhengzhou City, Henan Province, were selected as survey subjects by using the whole cluster sampling method. The General Information Questionnaire, Chronic Disease Self-Management Scale, Health Literacy Scale, Electronic Health Literacy Scale, Collaborative Social Support Scale, and Health Empowerment Scale were used to conduct the survey.ResultsThe result of LPA shows that the self-management characteristics of older co-morbid patients should be classified into 3 categories: good self-management (19.4%), medium self-management(27.9%), and low self-management (52.7%). The results of multivariate logistic regression analyses show that literacy, religiosity, health literacy, e-health literacy, appreciative social support, and health empowerment are influential factors for self-management among older co-morbid patients (p < 0.05).ConclusionThere is obvious heterogeneity in the self-management level of older co-morbid patients. It is recommended that healthcare professionals give targeted interventions for their weaknesses according to the self-management characteristics of different categories of patients in order to enhance the self-management level of this population and improve their quality of life.

Analysis of factors influencing the trajectory of fatigue in maintenance haemodialysis patients: a longitudinal study.

To explore the potential categories and influencing factors of fatigue trajectory in maintenance haemodialysis patients. Between June 2023 and December 2023, a convenience sample of 306 maintenance haemodialysis patients in a tertiary hospital haemodialysis centre in Zhenjiang City was selected as the study population, and patient information was collected monthly after the baseline survey using the General Information Questionnaire, Pittsburgh Sleep Quality Scale, Piper Fatigue Revision Scale, Collaborative Social Support Scale, Patient Health Questionnaire Depression Scale, Comprehensive Economic Toxicity Rating Scale, and Fear of Disease Progression Simplified Scale, for a total of six follow-up visits. In addition, the potential category growth model was used to identify the developmental trajectory of fatigue, and univariate analysis and binary logistic regression were used to analyse its determinants. The 6month fatigue trajectory of maintenance haemodialysis patients could be divided into two categories: persistent low-fatigue group (59.8%) and fluctuating high-fatigue group (40.2%). Age, surgical history, level of social support, sleep, economic toxicity, and changes in ultrafiltration volume during dialysis were the influencing factors for repeated fatigue in maintenance haemodialysis patients (p < 0.05). The fatigue trajectory of maintenance haemodialysis patients is heterogeneous, suggesting that clinical workers should focus on the haemodialysis patients with repeated fatigue and make targeted interventions to improve their fatigue status and reduce the occurrence of adverse events in patients.

Towards a Synergistic Multi‐stakeholder Approach to CSR in Crisis: Learning from Large Global Firms’ Responses to COVID‐19

AbstractFirms are increasingly expected to engage in corporate social responsibility (CSR) in reaction to external crises. Yet, we still know little about how they do it. This study discusses what we can learn from how large global firms responded to the COVID‐19 pandemic. Employing a cluster analysis on Fortune Global 500 firms, our findings reveal that to meet both institutional and economic pressures posed by the crisis, global firms adopted what we call a synergistic multi‐stakeholder approach by addressing the needs of multiple stakeholder groups simultaneously through transferable response strategies. These strategies varied by firm, ranging from donations and educational initiatives to collaboration and minimal support. We discuss the characteristics and potential drivers of each strategy. Our findings suggest that synergistic CSR strategies combine (social) value creation with operational efficiencies across stakeholder groups, with critical implications for how firms may respond to future disasters and crises.

A randomized trial of collaborative support for opioid taper after trauma hospitalization

The COTAT (Collaborative Opioid Taper After Trauma) Study was a randomized trial of an opioid taper support program using a physician assistant (PA) to provide pain and opioid treatment guidance to primary care providers assuming care for adult patients with moderate to severe trauma discharged from a Level I trauma center on opioid therapy. Patients were recruited, assessed, and randomized individually by a surgery research recruitment team one to two days prior to discharge to home. Participants randomized to the opioid taper support program were contacted by phone within a few days of discharge by the PA interventionist to confirm enrollment and their primary care provider (PCP). The intervention consisted of PA support as needed to the PCP concerning pain and opioid care at weeks 1, 2, 4, 8, 12, 16, and 20 after discharge or until the PCP office indicated they no longer needed support or the patient had tapered off opioids. The PA was supervised by a pain physician-psychiatrist, a family physician, and a trauma surgeon. Patients randomized to usual care received standard hospital discharge instructions and written information on managing opioid medications after discharge. Trial results were analyzed using repeated measures analysis. 37 participants were randomized to the intervention and 36 were randomized to usual care. The primary outcomes of the trial were pain, enjoyment, general activity (PEG score) and mean daily opioid dose at 3 and 6 months after hospital discharge. Treatment was unblinded but assessment was blinded. No significant differences in PEG or opioid outcomes were noted at either time point. Physical function at 3 and 6 months and pain interference at 6 months were significantly better in the usual care group. No significant harms of the intervention were noted. COVID-19 (corona virus 2019) limited recruitment of high-risk opioid tolerant subjects, and limited contact between the PA interventionist and the participants and the PCPs. Our opioid taper support program failed to improve opioid and pain outcomes, since both control and intervention groups tapered opioids and improved PEG scores after discharge. Future trials of post-trauma opioid taper support with populations at higher risk of persistent opioid use are needed. This trial is registered at clinicaltrials.gov under NCT04275258 19/02/2020. This trial was funded by a grant from the Centers for Disease Control and Prevention to the University of Washington Harborview Injury Prevention & Research Center (R49 CE003087, PI: Monica S. Vavilala, MD). The funder had no role in the analysis or interpretation of the data.

General Support at School – a Prerequisite for Inclusion of First Graders in Multicultural Classroom

General support for first graders to integrate into the school learning environment is a natural process, determined on one hand by the crisis in the psychosocial development of 7 – 8-year-old children in the transition from play to learning activities, and on the other hand by the new type of responsibilities and lifestyle in the school community. Collaborative support is an important factor in helping young learners overcome communication and learning challenges, especially in a multicultural classroom. Recognition and analysis of these challenges, the possibilities for overcoming them, is the main objective of this study. The data from the inquiry cards for pedagogical who studied the multicultural class they worked with outline the parameters of the socio-pedagogical atmosphere in the class. The applied projective methodologies, a survey and a questionnaire for first graders, clarify their social attitudes towards school and their attitude towards family. The data refer the need to track and individualize formal and informal relationships within the multicultural educational space.

Unlocking the Potential of 5G: Innovations and Challenges in Next-Generation Telecommunication Networks in Nigeria

This study investigates the unlocking of 5G potential, focusing on innovations and challenges in next-generation telecommunication networks within Nigeria. Three research questions guided the study, employing a survey research design. The study population consisted of 38 respondents, comprising 17 Technical Unit Heads from the National Information Technology Development Agency (NITDA) and 21 Heads of Telecommunication and Innovation Units from the Nigerian Communications Commission (NCC) across six regional offices in Nigeria. Due to the small population size, the entire population was included, eliminating the need for sampling. Data collection utilized a structured questionnaire developed by the researchers, titled "Innovations and Challenges in Fifth-Generation Telecommunication Networks Questionnaire (ICFTNQ)," achieving a reliability index of 0.87 through the Cronbach Alpha reliability method. Mean statistics were utilized to address the research questions. The findings revealed the significant enhancements brought by 5G to telecommunication infrastructure in Nigeria, particularly in speed, reliability, innovation, and economic development. Key innovative strategies crucial for 5G deployment were identified, including network optimization, collaboration, infrastructure development, and regulatory support. The study recommends collaborative efforts among government, industry stakeholders, and international partners to overcome challenges and establish a robust foundation for successful 5G deployment in Nigeria.

Oncological Disease and Pregnancy Denial: Psychological Support and Interdisciplinary Collaboration

In the following casuistry, a denied advanced pregnancy was discovered during the diagnosis of an oncological disease. Faced with a life-threatening condition, the patient urged late termination of the pregnancy and was introduced to psychological counselling in order to find a viable and ethically justifiable solution. Strategies for crisis intervention and supportive approaches in the patient's care as well as interdisciplinary collaboration are presented and discussed.

Inclusive Leadership and Employee Engagement as Critical Drivers of Sustainability in Telecommunication Companies

There has been a growing concern about the influence of inclusive leadership on employee engagement in the telecommunications industry. The telecommunications industry is undergoing rapid technological advancements, leading to increased competition and pressure on employees. Creating an inclusive workplace in such a dynamic environment is essential to attracting and retaining talented professionals and driving eco-innovation for sustainable development in Industry 4.0. Despite the importance of inclusive leadership, there is dearth of studies exploring the influence of inclusive leadership on employee engagement in the telecommunications industry. Hence, this study sought to examine the influence of inclusive leadership on employee engagement in selected telecommunication companies in Namibia. A qualitative approach was adopted, where face-to-face interviews were conducted using a semi-structured interview guide. The participants (22 executives) were selected for interviews from two telecommunication companies in Namibia using a purposive sampling method. Data collection involved recording and transcribing participant interviews using Microsoft Word. Thematic analysis was conducted using NVivo 20 software. Results show the importance of empathy and non-hierarchical leadership behaviour as the most critical factor influencing team engagement and discretionary effort in the telecommunications industry in Namibia. Meanwhile, clear career advancement pathways, work autonomy, cross-departmental collaboration, and supervisory support are major contributors to employee engagement for innovative performance and sustainability in the telecommunications industry.

Developing a minifesta for effective academic-activist collaboration in the context of the climate emergency

Justice-oriented climate activism is proliferating. Many scholars aspire to deliver research that supports activism. However, measures of impact for research evaluation and funding purposes place little weight on the use of research by activists. Here we consider how academics and academia might effectively support and enable climate activism. We report outcomes from a series of online deliberative workshops involving both activists and academics from several European countries. The workshops were facilitated to create space for discussion, sharing of experiences and the development of proposals for the future. The outcomes take the form of a set of principles (a “minifesta”) for academic-activist engagement generated by the group. In discussing the process and outputs, we argue that a focus on inclusion can support politically transformative change of the scale and urgency required. We suggest that this also demands a shift in attitudes toward the role of activism and activists in collaborative processes. We further discuss the inevitable incompleteness of this process, arguing that incompleteness is, itself, a feature of inclusive engagement. We conclude that scholars working on climate issues in any discipline could benefit from increasing mutually supportive collaboration with activists; and that such collaboration and inclusion could help liberate democracy from authoritarian tendencies and market influences. Collaborative engagements generate legitimate, rich, and impactful outcomes even with the limitations posed by COVID19. We, therefore, commend both the model of engagement and the principles it generated for our colleagues and peers.