Continuous Development Research Articles

Global Digital Compact: A Mechanism for the Governance of Online Discriminatory and Misleading Content Generation

With the continuous development of artificial intelligence (AI), algorithmic discrimination and discriminatory and misleading content (DMC) generated by AI have given rise to many negative effects in cyberspace, such as racial and gender discrimination, misinformation, and so on. The growing concern in society over AI governance urgently necessitates the establishment of an effective mechanism to supervise and govern AI-generated DMC. In this article, the discriminatory and misleading contents of AIGC (Artificial Intelligence Generated Content) were extracted according to Text Classification Model and then classified by Naive Bayesian algorithm. The results showed that under the Global Digital Compact (GDC), countries differed in their degrees of discrimination related to race, gender, religion, and age. The racial discrimination accounted for the highest proportion in the United States, with a score of 0.15; that in Britain and France took up a share of 0.06 and 0.07, respectively; and merely 0.03 in Germany. Discriminatory content of racial discrimination (M1) and gender discrimination (M2) in science and technology industry was relatively low, accounting for 0.05 and 0.08, respectively. Analyzing data within the Global Digital Compact (GDC) illuminates the disparities and trends in DMC generation across various countries, cities, industries, and individual users. This analysis provides valuable references for subsequent research and problem-solving initiatives under the compact. Furthermore, GDC plays a pivotal role in addressing issues related to AI-generated DMC, contributing significantly to the creation of a secure, reliable, and equitable cyberspace.

Conceptualising nature-based solutions: addressing environmental challenges in the city of Amman, Jordan

ABSTRACT This article explores the conceptualisation and applicability of nature-based solutions (NBS) in the semi-arid context of Amman, Jordan. Through a Delphi survey, interviews and literature review, it investigates local experts’ views, concluding that NBS are a viable approach, even in context of water scarcity and high urban temperatures. Our results advocate for a paradigm shift towards a balanced relationship between urbanisation and nature, the integration of nature-based thinking into educational systems and continuous development and training for planners and local officers. Cross-sector collaboration, a solid participatory framework, and financial mechanisms for pilot cases are essential for this transformative shift.

Emerging Trends in AI and Radiomics for Bladder, Kidney, and Prostate Cancer: A Critical Review.

This comprehensive review critically examines the transformative impact of artificial intelligence (AI) and radiomics in the diagnosis, prognosis, and management of bladder, kidney, and prostate cancers. These cutting-edge technologies are revolutionizing the landscape of cancer care, enhancing both precision and personalization in medical treatments. Our review provides an in-depth analysis of the latest advancements in AI and radiomics, with a specific focus on their roles in urological oncology. We discuss how AI and radiomics have notably improved the accuracy of diagnosis and staging in bladder cancer, especially through advanced imaging techniques like multiparametric MRI (mpMRI) and CT scans. These tools are pivotal in assessing muscle invasiveness and pathological grades, critical elements in formulating treatment plans. In the realm of kidney cancer, AI and radiomics aid in distinguishing between renal cell carcinoma (RCC) subtypes and grades. The integration of radiogenomics offers a comprehensive view of disease biology, leading to tailored therapeutic approaches. Prostate cancer diagnosis and management have also seen substantial benefits from these technologies. AI-enhanced MRI has significantly improved tumor detection and localization, thereby aiding in more effective treatment planning. The review also addresses the challenges in integrating AI and radiomics into clinical practice, such as the need for standardization, ensuring data quality, and overcoming the "black box" nature of AI. We emphasize the importance of multicentric collaborations and extensive studies to enhance the applicability and generalizability of these technologies in diverse clinical settings. In conclusion, AI and radiomics represent a major paradigm shift in oncology, offering more precise, personalized, and patient-centric approaches to cancer care. While their potential to improve diagnostic accuracy, patient outcomes, and our understanding of cancer biology is profound, challenges in clinical integration and application persist. We advocate for continued research and development in AI and radiomics, underscoring the need to address existing limitations to fully leverage their capabilities in the field of oncology.

Experimental Investigation of the Effect of the Burner Cap Geometry on the Performance of a Domestic Liquefied Petroleum Gas Stove

Abstract Cooking is an important domestic activity that needs energy. Traditionally, solid fuels such as firewood and charcoal have been used. However, the combustion of solid fuels inside households causes internal pollution and harms the health of users and other occupants. Nowadays, gaseous fuels like natural gas (NG) and liquefied petroleum gas (LPG) are the most used for domestic cooking. Considering the limitation of fossil fuel resources, energy conservation issues, environmental problems, and the increase in demand for gaseous fuels, it is necessary to explore ways to improve the thermal efficiency and emission characteristics of existing cooking systems. Although the use of gaseous fuels reduces domestic air pollution, the earliest domestic gas burners have low heat performance with an efficiency value of approximately 40%. Continuous research and development in stove design and analysis has led to a significant improvement in the thermal performance of commercial gas burners, with efficiencies exceeding 60%. This study’s main objective is to improve an LPG domestic stove through the modification of the cap burner geometry. The effects of various inclination angles (between the top and the lateral cap faces) ranging from 0 deg to 90 deg have been experimentally investigated. Results demonstrated that the thermal efficiency of the burner increases with increasing inclination angle. The highest efficiency was obtained at an angle of 75 deg, and beyond this value, the efficiency dropped. Unfortunately, at this angle value, CO emissions were the highest.

Suitability of emu (Dromaius novaehollandiae) eggs for in ovo imaging research as an alternative to conventional animal model: First experience and non‐invasive investigation of physiological embryonal development on computed tomography

AbstractFertilized bird eggs are an alternative model to conventional animal testing. In recent studies, a preclinical imaging model based on large ostrich eggs was introduced in a clinical research centre using imaging systems designed for humans, thus bypassing the need for dedicated small animal imaging systems. Ostrich eggs are only laid during the season with increased daylength, which limits its year‐round availability. The current study focuses on large emu eggs instead of ostrich eggs and aims at investigating its suitability for preclinical imaging research. Physiological development of emu embryos was observed by serial weightings and serial CT scans until developmental day (DD) 46. Differences between fertilized a non‐fertilized eggs were analysed. In fertilized eggs, the embryo was identified on CT scans as early as DD 13. As expected, CT scans showed continuous embryonal development and growth over time, comparable to ostriches. Neither the eggs' volume and weight nor the weight loss nor the radiodensity provided significant differences between fertilized and non‐fertilized eggs. Despite inferior incubation success in emus compared to ostriches, suitability of emu eggs for artificial incubation and subsequent research was confirmed. Hence, emu eggs represent an alternative model for preclinical imaging and allow a year‐round use for research purposes if combined with ostrich eggs.

Technology as a support in teaching students with ADHD: a view from educators

This study investigates the importante role of technology as a support in teaching students with Attention Deficit Hyperactivity Disorder (ADHD), with particular emphasis on the perspectives and experiences of educators in this context. The main objective was to evaluate the effectiveness of educational technology in supporting these students, exploring how educators perceive and use technological tools to facilitate the learning process. To achieve this objective, a comprehensive literature review was carried out, which included critical analysis of case studies, empirical research and relevant educational theories. Study results indicated that although technology holds significant potential for improving learning and engagement for students with ADHD, its effective implementation faces several challenges. Among them, the resistance of some educators to the adoption of new technologies and the pressing need for adequate training and professional development to maximize the benefits of technological tools stand out. The analysis also highlighted the importance of a practical approach aligned with educational theory, emphasizing the need to personalize technology to meet the individual needs of each student with ADHD. In conclusion, this study highlights the importance of an integrated and personalized strategy in the use of educational technologies, highlighting the vital role of the continuous professional development of educators and the adaptation of technological tools to meet the specific characteristics of students with ADHD. This research contributes to a deeper understanding of the interaction between technology, education and ADHD, offering valuable insights for educators, policymakers and researchers in the area of inclusive and technology education.

Harnessing Pyroptosis for Cancer Immunotherapy.

Cancer immunotherapy is a novel pillar of cancer treatment that harnesses the immune system to fight tumors and generally results in robust antitumor immunity. Although immunotherapy has achieved remarkable clinical success for some patients, many patients do not respond, underscoring the need to develop new strategies to promote antitumor immunity. Pyroptosis is an immunostimulatory type of regulated cell death that activates the innate immune system. A hallmark of pyroptosis is the release of intracellular contents such as cytokines, alarmins, and chemokines that can stimulate adaptive immune activation. Recent studies suggest that pyroptosis promotes antitumor immunity. Here, we review the mechanisms by which pyroptosis can be induced and highlight new strategies to induce pyroptosis in cancer cells for antitumor defense. We discuss how pyroptosis modulates the tumor microenvironment to stimulate adaptive immunity and promote antitumor immunity. We also suggest research areas to focus on for continued development of pyroptosis as an anticancer treatment. Pyroptosis-based anticancer therapies offer a promising new avenue for treating immunologically 'cold' tumors.

Miniature bioinspired artificial compound eyes: microfabrication technologies, photodetection and applications.

As an outstanding visual system for insects and crustaceans to cope with the challenges of survival, compound eye has many unique advantages, such as wide field of view, rapid response, infinite depth of field, low aberration and fast motion capture. However, the complex composition of their optical systems also presents significant challenges for manufacturing. With the continuous development of advanced materials, complex 3D manufacturing technologies and flexible electronic detectors, various ingenious and sophisticated compound eye imaging systems have been developed. This paper provides a comprehensive review on the microfabrication technologies, photoelectric detection and functional applications of miniature artificial compound eyes. Firstly, a brief introduction to the types and structural composition of compound eyes in the natural world is provided. Secondly, the 3D forming manufacturing techniques for miniature compound eyes are discussed. Subsequently, some photodetection technologies for miniature curved compound eye imaging are introduced. Lastly, with reference to the existing prototypes of functional applications for miniature compound eyes, the future development of compound eyes is prospected.

Clinical significance of platelet mononuclear cell aggregates in patients with sepsis and acute respiratory distress syndrome.

The diagnosis of sepsis combined with acute respiratory distress syndrome (ARDS) has increased owing to the enhanced awareness among medical professionals and the continuous development of modern medical technologies, while early diagnosis of ARDS still lacks specific biomarkers. One of the main pathogenic mechanisms of sepsis-associated ARDS involves the actions of various pathological injuries and inflammatory factors, such as platelet and white blood cells activation, leading to an increase of surface adhesion molecules. These adhesion molecules further form platelet-white blood cell aggregates, including platelet-mononuclear cell aggregates (PMAs). PMAs has been identified as one of the markers of platelet activation, here we hypothesize that PMAs might play a potential biomarker for the early diagnosis of this complication. To investigate the expression of PMAs in the serum of patients with sepsis complicated by ARDS and its clinical significance. We selected 72 hospitalized patients diagnosed with sepsis as the study population between March 2019 and March 2022. Among them, 30 patients with sepsis and ARDS formed the study group, while 42 sepsis patients without ARDS comprised the control group. After diagnosis, venous blood samples were immediately collected from all patients. Flow cytometry was employed to analyze the expression of PMAs, platelet neutrophil aggregates (PNAs), and platelet aggregates (PLyAs) in the serum. Additionally, the Acute Physiology and Chronic Health Evaluation (APACHE) II score was calculated for each patient, and receiver operating characteristic curves were generated to assess diagnostic value. The study found that the levels of PNAs and PLyAs in the serum of the study group were higher than those in the control group, but the difference was not statistically significant (P > 0.05). However, the expression of PMAs in the serum of the study group was significantly upregulated (P < 0.05) and positively correlated with the APACHE II score (r = 0.671, P < 0.05). When using PMAs as a diagnostic indicator, the area under the curve value was 0.957, indicating a high diagnostic value (P < 0.05). Furthermore, the optimal cutoff value was 8.418%, with a diagnostic sensitivity of 0.819 and specificity of 0.947. In summary, the serum levels of PMAs significantly increase in patients with sepsis and ARDS. Therefore, serum PMAs have the potential to become a new biomarker for clinically diagnosing sepsis complicated by ARDS.

Data analytics approach for short- and long-term mortality prediction following acute non-ST-elevation myocardial infarction (NSTEMI) and Unstable Angina (UA) in Asians.

Traditional risk assessment tools often lack accuracy when predicting the short- and long-term mortality following a non-ST-segment elevation myocardial infarction (NSTEMI) or Unstable Angina (UA) in specific population. To employ machine learning (ML) and stacked ensemble learning (EL) methods in predicting short- and long-term mortality in Asian patients diagnosed with NSTEMI/UA and to identify the associated features, subsequently evaluating these findings against established risk scores. We analyzed data from the National Cardiovascular Disease Database for Malaysia (2006-2019), representing a diverse NSTEMI/UA Asian cohort. Algorithm development utilized in-hospital records of 9,518 patients, 30-day data from 7,133 patients, and 1-year data from 7,031 patients. This study utilized 39 features, including demographic, cardiovascular risk, medication, and clinical features. In the development of the stacked EL model, four base learner algorithms were employed: eXtreme Gradient Boosting (XGB), Support Vector Machine (SVM), Naive Bayes (NB), and Random Forest (RF), with the Generalized Linear Model (GLM) serving as the meta learner. Significant features were chosen and ranked using ML feature importance with backward elimination. The predictive performance of the algorithms was assessed using the area under the curve (AUC) as a metric. Validation of the algorithms was conducted against the TIMI for NSTEMI/UA using a separate validation dataset, and the net reclassification index (NRI) was subsequently determined. Using both complete and reduced features, the algorithm performance achieved an AUC ranging from 0.73 to 0.89. The top-performing ML algorithm consistently surpassed the TIMI risk score for in-hospital, 30-day, and 1-year predictions (with AUC values of 0.88, 0.88, and 0.81, respectively, all p < 0.001), while the TIMI scores registered significantly lower at 0.55, 0.54, and 0.61. This suggests the TIMI score tends to underestimate patient mortality risk. The net reclassification index (NRI) of the best ML algorithm for NSTEMI/UA patients across these periods yielded an NRI between 40-60% (p < 0.001) relative to the TIMI NSTEMI/UA risk score. Key features identified for both short- and long-term mortality included age, Killip class, heart rate, and Low-Molecular-Weight Heparin (LMWH) administration. In a broad multi-ethnic population, ML approaches outperformed conventional TIMI scoring in classifying patients with NSTEMI and UA. ML allows for the precise identification of unique characteristics within individual Asian populations, improving the accuracy of mortality predictions. Continuous development, testing, and validation of these ML algorithms holds the promise of enhanced risk stratification, thereby revolutionizing future management strategies and patient outcomes.

Effective Strategies and Methods to Enhance Music Practical Teaching in Higher Vocational Preschool Education

Abstract:This paper studies of effective strategies and methods to elevate music practical teaching in higher vocational preschool education. Acknowledging the pivotal role of higher vocational preschools in shaping the foundational years of a child's development, the study navigates through a comprehensive exploration of the significance of music education. Grounded in a robust literature review, the paper highlights the importance of curriculum design, instructional techniques, assessment methods, and the seamless integration of technology in shaping impactful music education experiences.Theoretical frameworks, notably the Suzuki Method and Vygotsky's Sociocultural Theory, offer insights into pedagogical and socio-cultural aspects, emphasizing the creation of positive and immersive musical environments and collaborative learning experiences. Subsequently, the paper presents effective strategies, including the incorporation of technology, active learning approaches, and the customization of lessons to individual needs. The multifaceted benefits of music practical teaching in cognitive, emotional, and social domains are explored, emphasizing its role in holistic preschooler development. The study advocates for continuous professional development for music educators, stressing the importance of staying abreast of evolving pedagogical trends, engaging in collaboration and networking, and remaining informed about current trends and research in music education. By embracing these strategies, educators can cultivate a vibrant and enriching musical environment that fosters a lifelong love for music and nurtures the holistic development of preschool learners.

Developing an Effective Environmental Laboratory Workforce

Key TakeawaysTalent acquisition and retention will be major industry challenges in the future, so water and wastewater utilities must focus on recruitment.When hiring, education and experience should be considered without one being exclusive of the other, while internal and external candidates bring different advantages to job positions.Programs for continuous improvement and professional development, including mentorship opportunities, are key to fostering a thriving workforce culture in environmental laboratories.

Harmonising traditions and modernity: Exploring the characteristics of healthy working environments in Mekong delta higher education institutions in Vietnam

The purpose of this qualitative study was to explore the characteristics defining a healthy working environment within higher education institutions in the Mekong Delta of Vietnam, emphasizing the interplay of regional cultural, historical, and natural elements. The study employed a Social Constructivist Framework, Symbolic Interactionism, and the Phenomenological Approach to interpret findings from semi-structured interviews with five leaders from two institutions. These methodologies facilitated a comprehensive understanding of the institutional leaders’ perspectives on the elements integral to a thriving academic setting. The findings revealed several key themes: the significance of interpersonal relationships and mutual respect; the importance of continuous professional development; the role of institutional transparency and open communication; an emphasis on cultural and historical reverence; and a unique relationship between the institution and the natural environment of the Mekong Delta. These insights contribute to the global discourse on academic environments, highlighting the universality of certain educational values while underscoring the importance of context-specific factors. The study’s practical implications suggest the need for future research to further investigate these themes, aiming to enhance our understanding of healthy academic settings in diverse cultural and geographical contexts.

Centralized Database Access: Transformer Framework and LLM/Chatbot Integration-Based Hybrid Model

This paper addresses the challenges associated with the centralized storage of educational materials in the context of a fragmented and disparate database. In response to the increasing demands of modern education, efficient and accessible retrieval of materials for educators and students is essential. This paper presents a hybrid model based on the transformer framework and utilizing an API for an existing large language model (LLM)/chatbot. This integration ensures precise responses drawn from a comprehensive educational materials database. The model architecture uses mathematically defined algorithms for precise functions that enable deep text processing through advanced word embedding methods. This approach improves accuracy in natural language processing and ensures both high efficiency and adaptability. Therefore, this paper not only provides a technical solution to a prevalent problem but also highlights the potential for the continued development and integration of emerging technologies in education. The aim is to create a more efficient, transparent, and accessible educational environment. The importance of this research lies in its ability to streamline material access, benefiting the global scientific community and contributing to the continuous advancement of educational technology.

The Practice and Research of Junior High School Information Technology Project-Based Learning Based on STEM Education Concept

With the continuous development of education informatization, STEM education has become the global trend of education. Project-based learning is widely discussed and applied as a learning method suitable for combination with STEM education concept. Currently, the problem of "how to teach" in STEM education is widely focused on two typical teaching methods, namely problem-based learning and project-based learning. Project-based learning is also learner-centered and tends to comprehensively apply multidisciplinary knowledge, which attracts more attention. Based on the analysis of the impact of combining applied subjects and STEM education with project-based learning on students and other aspects, this paper proposes the connotation of middle school information technology project-based learning under STEM education concept and how to practice the application of project-based learning in junior high school information technology classrooms under STEM education concept in order to promote the further development of STEM education.

Exploring Mixed Reality Board Games as an Innovative Educational Tool for Teaching History in Primary Schools

This study investigates the challenges of teaching history to primary school students and the endeavour to develop a board game, supported by educational apps and augmented reality, to enhance the learning experience. The initiative is in response to the New Zealand Ministry of Education's mandate that New Zealand's history must be taught in all Kura and schools' local curriculum from 2023. (Ministry of Education, 2023). The study was conducted in two phases. The first phase explored teachers' attitudes towards using technology as a teaching aid and the availability of digital devices for interactive teaching and learning. The results showed that many teachers are supportive of using board games and technology in their teaching. In the second phase, a board game was developed and trialled with a group of teachers and students as expert representatives for the target group. The results showed that the mixed reality board game has great potential and is well worth continued development. The study also suggests that emerging disruptive technologies such as mixed reality can create effective and engaging learning and teaching environments.

Knowledge Readiness of Head Teachers to Implement Inclusive Education Policies for Learners with Visual Impairments in Primary Schools of the North West Region of Cameroon

Purpose: This study investigated the Knowledge readiness of head teachers to implement inclusive education policies for learners with visual impairments in primary schools in the North West Region of Cameroon. Given that inclusion, equity and social justice are emerging trends in education, there is need for headteachers and teachers to be ready to change the quality of services they offer in school. The main purpose of this study was: to find out how ready head teachers are in terms of knowledge of inclusive education legislation and its effect on inclusive education practices for learners with visual impairments in primary schools.&#x0D; Materials and Methods: Methodology adopted was a mixed research approach, a sequential explanatory design was used in the study, both probability and non-probability sampling techniques were employed to sample a population of 374 teachers and head teachers from different primary schools in divisions of the North West Region of Cameroon. The research instruments were questionnaire and interview guide and the data was analysed using SPSS version 20, while qualitative data was analyzed thematically. Data were presented on tables and charts using frequencies, mean, standard deviation and levels of significance.&#x0D; Findings: Findings brought to light that, 56.7% of head teachers have knowledge on inclusive education legislation, 45% of teachers have knowledge on inclusive education legislation and knowledge on inclusive education legislation has a significant effect on inclusive education practices for learners with visual impairments in primary schools at the level of significance of 0.000.&#x0D; Implications to Theory, Practice and Policy: From these findings recommendations were made to the government for teacher training to be made inclusive and provide continuous professional development and capacity building for teacher, also financial and material supported should be provided for implementation of inclusive education as stated in the policies.

Implementing coaching programmes for healthcare professionals-A review of the barriers and facilitators.

The European Union faces severe and worsening personnel shortages in healthcare. Coaching has emerged as a human-centred strategy to enhance sustainable employment and retention. While the number of efficacy studies on coaching continues to grow, knowledge about the barriers and facilitators to implementing coaching interventions among healthcare professionals (HCPs) remains scarce. This systematic review aimed to describe common barriers and facilitators to the implementation of coaching interventions for HCPs. In April 2023, five databases were searched for eligible articles. Barriers and facilitators were systematically identified and mapped onto the constructs of the Consolidated Framework for Implementation Research (CFIR). Directed content analysis yielded thematic areas and a reporting frequency. A total of thirty (n=30) studies were included in this review, representing twenty-five (n=25) distinct coaching programmes. Implementation determinants were clustered under two CFIR domains: the Inner Setting (8 facilitators, 5 barriers) and Implementation Process (6 facilitators, 1 barrier). Barriers included (i) limited organisational capacity, (ii) lack of psychological safety, (iii) competing work demands, and (iv) insufficient leadership buy-in, while facilitators were the (i) allocation of protected time for participants and coaches, (ii) promotion through opinion leaders, (iii) embeddedness in existing Continuous Professional Development programmes, and (iv) programme co-creation. The findings of this study provide practical insights to guide the future implementation of coaching interventions at an organisational level. In particular, the identified barriers and facilitators suggest, for optimal efficacy and sustainment, coaching interventions must be implemented within a safe, supportive organisational climate.

Construction of MXene-mediated inorganic-organic quaternary ammonium salt-hybrid coating for fire safety and multi-mode synergistic antibacterial of cotton fabric

With the continuous development of the society, there is a growing demand for the durability, versatility and multifunction of cott fabrics. In this work, the cotton fabric is coated with multifunctional coating via dip-coating of transition metal carbide (MXene) and then encapsulation of dimethyloctadecyl [3-trimethoxysilopropyl] ammonium chloride (QAS). In view of MXene with excellent light absorption and photothermal conversion efficiency, the controllable antibacterial performance of the cotton fabric is further improved. Benefiting from the encapsulation of QAS, CF@P@M@QAS fabric shows mechanical stability (24 h washing, 1000 cycles folding test and 100 cyclic abrasion) and hydrophobicity. Meantime, the QAS on the surface of multifunctional cotton fabric significantly increases antibacterial activity, and the antibacterial rate can reach to 100 % against Staphylococcus aureus (S. aureus) and 98 % Escherichia coli (E. coli). Besides, CF@P@M@QAS cotton fabric also integrates functions of fire safety and physical therapy. Thus, this multifunctional cotton fabric based MXene offers a novel solution for extending its application in medical electronics and physical therapy.

Tube feeding in advanced dementia: Insights from South African speech-language therapists.

Speech-language therapists (SLTs) may recommend tube feeding even with minimal research evidence of its effectiveness, and an understanding of SLTs' perceived practices is warranted. To qualitatively describe a sample of South African SLTs' perceived practices regarding feeding tube placement in people with advanced dementia. Semi-structured online interviews were conducted via Microsoft Teams. Eight South African SLTs with a particular interest in advanced dementia, in public and private settings, were recruited. Data were analysed using inductive reflexive thematic analysis. Three main themes were identified: (1) factors influencing SLTs' decisions for feeding tube placement in people with advanced dementia; (2) nature of clinical setting and SLTs' decision-making and (3) SLTs' considerations to improve management of people with advanced dementia. Existing local palliative care guidelines were not employed in decisions about tube feeding. Most participants did not recommend tube feeding during end-of-life care. Perceived burden of care influenced participants' decisions about tube feeding. Speech-language therapists in South Africa likely have an increased reliance on clinical experience rather than recent research and guidelines for decisions about feeding tube placement. Findings accentuate the importance of clinical supervision, mentoring and continuous professional development in the workplace. The findings are an urgent call to action to improve SLTs' overall practices and ethical service delivery for people with advanced dementia and their families.Contribution:Factors and needs regarding SLTs' decision-making about feeding tubes in people with advanced dementia are highlighted.