Percepção de aprendizagem on-line na disciplina de biomateriais / Perception of online learning in the biomaterials course

Com as universidades fechadas e a implementação do Ensino Remoto Emergencial, as atividades curriculares ocorreram através de plataformas digitais. O objetivo do presente trabalho foi avaliar a percepção de aprendizagem on-line na disciplina de Biomateriais da Faculdade de Odontologia da Universidade Federal Fluminense no período da pandemia. O questionário COLLES (Constructivist OnLine Learning Environment Survey) foi enviado individualmente por e-mail aos cinquenta alunos, apresentando 24 declarações divididas em seis quesitos: relevância, reflexão crítica, interatividade, apoio dos tutores, apoio entre os colegas e compreensão; e para cada declaração cinco opções de resposta: quase sempre, frequentemente, algumas vezes, raramente e quase nunca. Quarenta e um alunos responderam. A soma das médias obtidas em quase sempre e frequentemente foi de 87,2% para relevância, 70% para reflexão crítica, 33,9% para interatividade, 47,6% para apoio dos tutores, 44,2% para apoio dos colegas e 89,5% para compreensão. Concluiu-se que a relevância, a reflexão crítica e a compreensão apresentaram melhores resultados, enquanto a interatividade, o apoio entre os colegas e o apoio dos tutores demonstraram necessidade de aprimoramento. E apesar das limitações do ERE, a avaliação positiva dos alunos evidenciou esta modalidade de educação on-line como uma solução plausível.

With universities closed and the implementation of Emergency Remote Teaching, curricular activities took place through digital platforms. The objective of this study was to assess the perception of online learning in the Biomaterials course at the Dental School of the Federal Fluminense University during the pandemic. The COLLES questionnaire (Constructivist OnLine Learning Environment Survey) was individually sent via email to fifty students, presenting 24 statements divided into six aspects: relevance, critical reflection, interactivity, tutor support, peer support, and comprehension. For each statement, there were five response options: almost always, often, sometimes, rarely, and almost never. Forty-one students responded. The sum of the averages obtained for almost always and often was 87.2% for relevance, 70% for critical reflection, 33.9% for interactivity, 47.6% for tutor support, 44.2% for peer support, and 89.5% for comprehension. It was concluded that relevance, critical reflection, and comprehension showed better results, while interactivity, peer support, and tutor support demonstrated a need for improvement. Despite the limitations of Emergency Remote Teaching, the positive evaluation from the students highlighted this mode of online education as a plausible solution.

Real-road NOx and CO2 emissions of city and highway China-6 heavy-duty diesel vehicles.

The emission of heavy-duty vehicles has raised great concerns worldwide. The complex working and loading conditions, which may differ a lot from PEMS tests, raised new challenges to the supervision and control of emissions, especially during real-world applications. On-board diagnostics (OBD) technology with data exchange enabled and strengthened the monitoring of emissions from a large number of heavy-duty diesel vehicles. This paper presents an analysis of the OBD data collected from more than 800 city and highway heavy-duty vehicles in China using remote OBD data terminals. Real-world NOx and CO2 emissions of China-6 heavy-duty vehicles have been examined. The results showed that city heavy-duty vehicles had higher NOx emission levels, which was mostly due to longer time of low SCR temperatures below 180°C. The application of novel methods based on 3B-MAW also found that heavy-duty diesel vehicles tended to have high NOx emissions at idle. Also, little difference had been found in work-based CO2 emissions, and this may be due to no major difference were found in occupancies of hot running.

Establishment and verification of anthropogenic speciated VOCs emission inventory of Central China.

Improving the accuracy of anthropogenic volatile organic compounds (VOCs) emission inventory is crucial for reducing atmospheric pollution and formulating control policy of air pollution. In this study, an anthropogenic speciated VOCs emission inventory was established for Central China represented by Henan Province at a 3 km × 3 km spatial resolution based on the emission factor method. The 2019 VOCs emission in Henan Province was 1003.5 Gg, while industrial process source (33.7%) was the highest emission source, Zhengzhou (17.9%) was the city with highest emission and April and August were the months with the more emissions. High VOCs emission regions were concentrated in downtown areas and industrial parks. Alkanes and aromatic hydrocarbons were the main VOCs contribution groups. The species composition, source contribution and spatial distribution were verified and evaluated through tracer ratio method (TR), Positive Matrix Factorization Model (PMF) and remote sensing inversion (RSI). Results show that both the emission results by emission inventory (EI) (15.7 Gg) and by TR method (13.6 Gg) and source contribution by EI and PMF are familiar. The spatial distribution of HCHO primary emission based on RSI is basically consistent with that of HCHO emission based on EI with a R-value of 0.73. The verification results show that the VOCs emission inventory and speciated emission inventory established in this study are relatively reliable.

Spatial ecology, biodiversity, and abiotic determinants of Congo's bai ecosystem.

Canopy gaps are foundational features of rainforest biodiversity and successional processes. The bais of Central Africa are among the world's largest natural forest clearings and thought to be critically important islands of open-canopy habitat in an ocean of closed-canopy rainforest. However, while frequently denoted as a conservation priority, there are no published studies on the abundance or distribution of bais across the landscape, nor on their biodiversity patterns, limiting our understanding of their ecological contribution to Congolese rainforests. We combined remote sensing and field surveys to quantify the abundance, spatial distribution, shape, size, biodiversity, and soil properties of bais in Odzala-Kokoua National Park (OKNP), Republic of the Congo (hereafter, Congo). We related bai spatial distribution to variation in hydrology and topography, compared plant community composition and 3D structure between bais and other open ecosystems, quantified animal diversity from camera traps, and measured soil moisture content in different bai types. We found bais to be more numerous than previously thought (we mapped 2176 bais in OKNP), but their predominantly small size (80.7% of bais were <1 ha), highly clustered distribution, and restriction to areas of low topographic position make them a rare riparian habitat type. We documented low plant community and structural similarity between bai types and with other open ecosystems, and identified significant differences in soil moisture between bai and open ecosystem types. Our results demonstrate that two distinct bai types can be differentiated based on their plant and animal communities, soil properties, and vegetation structure. Taken together, our findings provide insights into how bais relate to other types of forest clearings and on their overall importance to Congolese rainforest ecosystems.

Reactivation of stable neovascular age-related macular degeneration following treat-and-extend regimen discontinuation.

BACKGROUND: To describe the incidence and pattern of reactivation of neovascular age-related macular degeneration (nAMD) following successful treatment with treat-and-extend intravitreal anti-vascular endothelial growth factor therapy. METHODS: Consecutive patients with treated nAMD who did not require further treatment over a 6-month period and who attended their 3-monthly optical coherence tomography monitoring clinic in Moorfields Eye Hospital from 1 November 2019 to 31 January 2020 were included. Patients with diagnoses of macular neovascularization other than AMD, and patients with incomplete data were excluded. Baseline demographics recorded were age, sex, race, laterality, cause of macular neovascularization, drug, number of injections, and duration of treatment. Date, setting, symptoms, and time to retreatment were collected among patients with disease reactivation. RESULTS: The medical records of 286 patients were included. Most patients were female (64.3%), white (68.18%), and were receiving aflibercept monotherapy (55.2%). Mean number of injections at baseline was 17.79 ± 11.74 (range 3-62) with a mean treatment duration of 39.47 ± 30.68 months (range 2-139). Reactivation of AMD was identified in 32.2% of cases with 87% of recurrences identified via scheduled visit. The most common symptom was blurring of vision in 44.6%, while 39.1% were asymptomatic. Mean time from baseline to retreatment was 29.37 ± 22.40 months (range 5-104), with 20.7%, 73.9% and 88.04% of these patients requiring retreatment within 1, 3, and 5 years, respectively. CONCLUSIONS: Despite prior treatment with no reactivation in 6 months, 32.2% reactivate, 73.9% of which within 3 years. A significant proportion, 39.1%, reactivated without symptoms necessitating regular monitoring in the first 5 years.

Sociodemographic predictors of successful screening and subsequent randomization in a digital health hypertension intervention.

Introduction: Clinical trials often enroll nonrepresentative participant samples, limiting generalizability of trial findings. The current analysis explores the influences of remote recruitment and screening protocols on participation in a digital health intervention (DHI) to promote the evidence-based Dietary Approaches to Stop Hypertension (DASH) eating pattern. Methods: Nourish was a 12-month randomized controlled trial comparing the effectiveness of a DHI to an attention control arm among US adults with hypertension. Participants were recruited using digital approaches; eligible individuals completed several screening steps. We examined associations between sociodemographics and mobile technology use and completion of each screening step and compared those characteristics between randomized and nonrandomized participants (those consented but were screened out before randomization). Results: A total of 678 adults consented to participate in Nourish; 44% of those consented were randomized (n = 301). Those randomized possessed a higher education level (p < 0.0001); were more likely to use health-related apps (p < 0.0001) and wearables (p < 0.0001); and were older (p = 0.01) than nonrandomized individuals. Randomized adults were more likely to use a desktop/laptop/tablet for Internet access (vs mobile phones) (p = 0.01). No significant association was observed existed between sex, race, ethnicity, income, or geographic density of residence and subsequent randomization. Conclusions: Participants with lower education levels or limited experience in using mobile technologies may require additional support to participate in DHIs. Future research is needed to evaluate remote clinical trial procedures and impacts on generalizability to achieve equitable clinical trial participation.

A novel multi-hazard risk assessment framework for coastal cities under climate change.

Coastal cities, as centres of human habitation, economic activity and biodiversity, are confronting the ever-escalating challenges posed by climate change. In this work, a novel Multi-Hazard Risk Assessment framework is presented with the focus on Coastal City Living Labs. The methodology provides a comprehensive assessment of climate-related hazards, including sea-level rise, coastal flooding, coastal erosion, land flooding, heavy precipitation, extreme temperatures, heatwaves, cold spells, landslides and strong winds. Its application is illustrated through a case study: the Coastal City Living Lab of Benidorm, Spain. The methodology incorporates remote sensing data from various satellite sources, such as ERA5, Urban Atlas and MERIT DEM, to evaluate multiple hazards through a systematic and standardized indicator-based approach, offering a holistic risk profile that allows for comparison with other European coastal cities. The integration of remote sensing data enhances the accuracy and resolution of hazard indicators, providing detailed insights into the spatiotemporal dynamics of climate risks. The incorporation of local expertise through the Coastal City Living Lab concept enriches data collection and ensures context-specific adequacy. The integration of local studies and historical extreme climate events enhances the validity and context of the risk indicators. The findings align with regional trends and reveal specific vulnerabilities, particularly related to heatwaves, heavy rainfall, and coastal flooding. Despite its strengths, the MHRA methodology faces limitations, including reliance on outdated datasets and the complexity of integrating multiple hazards. Continuous updates and adaptive management strategies are essential to maintain the accuracy and relevance of risk assessments. The broader implications of the methodology for global coastal cities highlight its potential as a model for developing targeted adaptation strategies.

Non-contact photoacoustic imaging with a silicon photonics-based Laser Doppler Vibrometer.

Photoacoustic imaging has emerged as a powerful, non-invasive modality for various biomedical applications. Conventional photoacoustic systems require contact-based ultrasound detection and expensive, bulky high-power lasers for the excitation. The use of contact-based detectors involves the risk of contamination, which is undesirable for most biomedical applications. While other non-contact detection methods can be bulky, in this paper, we demonstrate a proof-of-concept experiment for compact and contactless detection of photoacoustic signals on silicone samples embedded with ink-filled channels. A silicon photonics-based Laser Doppler Vibrometer (LDV) detects the acoustic waves excited by a compact pulsed laser diode. By scanning the LDV beam over the surface of the sample, 2D photoacoustic images were reconstructed of the sample.

Indigenous Peoples' evaluation of health risks when facing mandatory evacuation for birth during the COVID-19 pandemic: an indigenous feminist analysis.

BACKGROUND: Indigenous Peoples living on the land known as Canada are comprised of First Nations, Inuit, and Métis people and because of the Government of Canada's mandatory evacuation policy, those living in rural and remote regions of Ontario are required to travel to urban, tertiary care centres to give birth. When evaluating the risk of travelling for birth, Indigenous Peoples understand, evaluate, and conceptualise health risks differently than Eurocentric biomedical models of health. Also, the global COVID-19 pandemic changed how people perceived risks to their health. Our research goal was to better understand how Indigenous parturients living in rural and remote communities conceptualised the risks associated with evacuation for birth before and during the COVID-19 pandemic. METHODS: To achieve this goal, we conducted semi-structured interviews with 11 parturients who travelled for birth during the pandemic and with 5 family members of those who were evacuated for birth. RESULTS: Participants conceptualised evacuation for birth as riskier during the COVID-19 pandemic and identified how the pandemic exacerbated existing risks of travelling for birth. In fact, Indigenous parturients noted the increased risk of contracting COVID-19 when travelling to urban centres for perinatal care, the impact of public health restrictions on increased isolation from family and community, the emotional impact of fear during the pandemic, and the decreased availability of quality healthcare. CONCLUSIONS: Using Indigenous Feminist Methodology and Indigenous Feminist Theory, we critically analysed how mandatory evacuation for birth functions as a colonial tool and how conceptualizations of risk empowered Indigenous Peoples to make decisions that reduced risks to their health during the pandemic. With the results of this study, policy makers and governments can better understand how Indigenous Peoples conceptualise risks related to evacuation for birth before and during the pandemic, and prioritise further consultation with Indigenous Peoples to collaborate in the delivery of the health and care they need and desire.

Near-infrared remote triggering of bio-enzyme activation to control intestinal colonization by orally administered microorganisms.

Oral biotherapeutics hold significant promise, but their lack of controllability and targeting poses a major challenge, particularly for intestinal bacterial biotherapeutics. In response, we have developed a nanoencapsulation approach that responds to the release of enzyme activity in the organism and activates the enzyme in situ, allowing for controlled colonization of microbes in the gut. The nano-coating comprises a two-layer structure: an inner layer of polydopamine with photothermal and adhesive properties, and an outer layer of gelatin-sodium carboxymethylcellulose, which is hydrolyzed by cellulases in the gut following photothermal interaction with dopamine. We have successfully achieved controlled colonization of a wide range of microorganisms. Furthermore, in a diabetes model, this approach has had a profound impact on regulating glucagon-like peptide-1 (GLP-1) production, ß-cell physiology, and promoting insulin secretion. This nanocoating is achieved by in situ activation of cellulase without the need for genetic or targeted molecular modification, representing a new paradigm and alternative strategy for microbial therapy. It not only enables precise and controlled colonization of probiotics but also demonstrates great potential for broader application in the field of oral biotherapy. STATEMENT OF SIGNIFICANCE: We have developed a nano-encapsulation method that triggers enzyme activity in response to enzymatic activity, resulting in the controlled release and adhesion of a wide range of microorganisms in the gut. The nano coating comprises two layers: an inner layer of polydopamine with photothermal and adhesion properties, and an outer layer of a gelatin-sodium carboxymethylcellulose polymer, which can be hydrolyzed by cellulases in the intestine. Additionally, this method allows for the preparation of various microbial coatings. This approach holds significant promise for regulating GLP-1 production, the physiological function of pancreatic ß-cells, and promoting insulin secretion in diabetes models.

Willingness to use remote patient monitoring among cardiovascular patients in a resource-limited setting: a cross-sectional study.

Introduction: Currently, mortality by non-communicable diseases is increasing alarmingly. They account for approximately 35 million deaths each year, of which 14% are due to cardiovascular disease and 9.2% occur in Africa. Patients do not have access to healthcare services outside the healthcare setting, resulting in missed follow-ups and appointments and adverse outcomes. This study aimed to assess the willingness to use remote monitoring among cardiovascular patients in a resource-limited setting in Ethiopia. Method: An institution-based cross-sectional study was conducted from April to June 2021 among cardiovascular patients at referral hospitals in Ethiopia. A structured interview questionnaire was used to collect the data. A systematic random sampling technique was used to select 397 study participants. Binary and multivariable logistic regression analyses were employed and a 95% confidence level with a p-value <0.05 was used to determine the level of association between variables. Result: In total, 81.61% of the study participants were willing to use remote patient monitoring [95% confidence interval (CI) = 77.4%-85.1%]. Age [adjusted odds ratio (AOR) = 0.94; 95% CI: 0.90-0.98], having a mobile phone (AOR = 5.70; 95% CI: 1.86-17.22), and perceived usefulness (AOR = 1.50; 95% CI: 1.18-1.82) were significantly associated with willingness to use remote patient monitoring among cardiovascular patients. Conclusion: Cardiovascular patients had a high willingness to use remote patient monitoring. Age, perceived usefulness of remote patient monitoring, and having a mobile phone were significantly associated with a willingness to use remote patient monitoring.

Growing the peer workforce in rural mental health and social and emotional well-being services: A scoping review of the literature.

INTRODUCTION: Growing the mental health peer workforce holds promise for rural communities, but we currently lack an understanding of the guidance available to support the development, implementation and sustainability of this workforce in rural settings. OBJECTIVE: Study aims are to: (1) determine the extent and nature of the literature that provides guidance for growing the peer workforce in rural mental health services; and (2) identify and explore any guidance relevant to rural peer work services dedicated to First Nations communities, including those promoting social and emotional well-being within this body of literature. DESIGN: A scoping review method was employed to identify relevant peer-reviewed and grey literature published between 2013 and 2022 across PsychInfo, Medline, Embase and CINAHL, Scopus and Informit HealthInfoNet databases, as well as targeted organisation websites and Google Advanced Search. FINDINGS: A total of 26 unique studies/projects were included from the US, UK, Canada and Australia with public mental health, non-government/for purpose and private sector service settings represented in the literature. Grey literature, such as reports of evaluations and frameworks, formed the majority of included texts. While there is a lesser volume of rurally focused literature relative to the general peer work literature, this is a rich body of knowledge, which includes guidance concerning services dedicated to First Nations communities. Via synthesis critical considerations were identified for the development, implementation and sustainability of peer work in rural mental health services across six domains: 'Working with community members and stakeholders', 'Organisational culture and governance', Working with others and in teams, Professional expertise and experience, Being part of and working in the community and 'Local mental health services capacity'. DISCUSSION: While there are considerations relevant across a range of settings, the domains of: 'working with community members and stakeholders', 'being part of and working in the community' and 'local mental health services capacity', capture additional, distinct and nuanced challenges and opportunities for growing the peer work in rural services. CONCLUSION: The literature offers insights valuable for service planning, policy development and the allocation of resources to support rural peer workforce growth.

The Future of Oral Oncology: How Artificial Intelligence is Redefining Surgical Procedures and Patient Management.

INTRODUCTION AND AIMS: The future of oral oncology is significantly influenced by the incorporation of artificial intelligence (AI) technologies, such as surgical robotics and early histopathological diagnosis and detection of diseases. This article aims to explore the transformative effects of AI on the identification and diagnosis of oral cancer, emphasising the potential improvements in patient outcomes and the effectiveness of treatment options. METHODS: An overview of the integration of AI technologies in surgical robotics and remote monitoring systems was conducted. This included an examination of AI algorithms used in surgical procedures for oral cancer, as well as the functionalities of AI-powered remote monitoring tools in disease management and patient care. RESULTS: The application of AI in surgical robotics has led to increased precision and accuracy in oral cancer procedures, resulting in significantly improved patient outcomes with fewer complications. Furthermore, AI-driven remote monitoring systems facilitated personalised care and timely medical interventions, which contributed to better disease management. Notable positive results observed include decreased procedure durations, reduced complications, and accelerated recovery times for patients. CONCLUSION: The integration of AI technologies in oral oncology care has demonstrated significant potential for enhancing the quality of care, improving treatment outcomes, and streamlining clinical workflows. By leveraging AI, healthcare professionals can offer tailored treatment plans and improve long-term disease management for patients with oral cancer. CLINICAL RELEVANCE: The implementation of AI in oral oncology represents an innovative approach to early detection and efficient management of oral cancer, ultimately enhancing the quality of life of the affected individuals. The findings underscore the importance of continuing to explore and adopt AI technologies to further advance healthcare delivery in oncology.

Utilization of mobile surgical units to address surgical needs in remote African communities: a narrative review.

INTRODUCTION: Accessing surgical care is of profound significance that face remote African communities due to insufficient healthcare means and infrastructure. Deploying mobile surgical units (MSUs) have present a potential solution to underserved populations in rural Africa to address said issues. The aim of this narrative review is to examine the role of MSU utilization in remote African communities to meet surgical needs and evaluate how this has affected healthcare provision. METHODS: To identify studies focusing on the dissemination of MSUs in remote African communities covered countries such as Uganda, Kenya, Tanzania, Nigeria, and Ethiopia, and we employed a plethora of electronic search databases including PubMed/Medline, Google Scholar, Scopus and other relevant literature sources. Inclusion criteria were studies on MSUs in remote African communities, while exclusion criteria involved non- African or urban-focused studies. RESULTS: This review highlights that the current literature depicts that application of MSUs bring a positive impact in providing timely and quality surgical care to remote African communities. Frequent interventions, such as minor surgeries, obstetric procedures, and major trauma control, have been performed on MSUs. In settings with shortages of human resources and clinical equipments, these units have improved patient outcomes, reduced healthcare disparities, and increased access to emergency surgical care. While challenges such as financial constraints and surgical sustainability have been noted, the need for interdisciplinary collaboration and the advantages of MSU deployment often help mitigate these obstacles. CONCLUSION: A lack of surgical care for individuals living in remote African domiciles may be addressed via MSU application. Through delivering fundamental surgical services directly to underserved populations, MSUs may potentially prevent disabilities, save countless lives, and enhance overall health outcomes in African remote communities. To guarantee the long-term feasibility and sustainability of MSU programs in Africa, however, more funding must be allocated to infrastructure, supplies, and relevant education.

UK physiotherapists' perceptions on providing face-to-face and virtual rehabilitation for patients with Greater Trochanteric Pain Syndrome (GTPS): A cross-sectional survey.

BACKGROUND: Greater Trochanteric Pain Syndrome (GTPS) is a prevalent and debilitating cause of lateral hip pain. Physiotherapists often prescribe exercises and educate patients on self-management strategies. Virtual consultations have increased since COVID-19. Rehabilitating patients with GTPS virtually may offer benefits to patients and healthcare providers. OBJECTIVES: Understand physiotherapists' perceived effectiveness of providing rehabilitation for people with GTPS virtually compared to face-to-face. DESIGN: Cross-sectional survey. METHODS: An internet-based survey was distributed via Twitter (now X). The survey included participant characteristics and 5-point Likert scales to rate the perceived effectiveness (higher score is more effective) of each consult method to deliver treatments for GTPS. Descriptive and inferential statistics were calculated to compare effectiveness between consultation types. RESULTS: 54 physiotherapists responded. Overall, physiotherapists felt they were more effective at managing patients face-to-face compared to virtually with median scores of 5 (IQR 4-5) to 3 (IQR 2-4) respectively (P < 0.001). Physiotherapists rated themselves more effective at delivering exercise interventions and most educational components face-to-face compared to virtually. Coaching exercises and checking exercise technique received the lowest rating with virtual consults. Higher levels of post-graduate education and confidence in technology were associated with higher perceptions of virtual consults (P < 0.05). There has been a significant increase in virtual practice since COVID-19 (P < 0.001), despite few physiotherapists receiving training. CONCLUSION: Physiotherapists rated themselves as more effective in treating patients with GTPS face-to-face compared to virtually in almost all aspects of rehabilitation. However, virtual consultations still scored highly in self-management support and specific aspects of exercise and education.

Ultra-short-term stress measurement using RGB camera-based remote photoplethysmography with reduced effects of Individual differences in heart rate.

Stress is linked to health problems, increasing the need for immediate monitoring. Traditional methods like electrocardiograms or contact photoplethysmography require device attachment, causing discomfort, and ultra-short-term stress measurement research remains inadequate. This paper proposes a method for ultra-short-term stress monitoring using remote photoplethysmography (rPPG). Previous predictions of ultra-short-term stress have typically used pulse rate variability (PRV) features derived from time-segmented heart rate data. However, PRV varies at the same stress levels depending on heart rates, necessitating a new method to account for these differences. This study addressed this by segmenting rPPG data based on normal-to-normal intervals (NNIs), converted from peak-to-peak intervals, to predict ultra-short-term stress indices. We used NNI counts corresponding to average durations of 10, 20, and 30 s (13, 26, and 39 NNIs) to extract PRV features, predicting the Baevsky stress index through regressors. The Extra Trees Regressor achieved R2 scores of 0.6699 for 13 NNIs, 0.8751 for 26 NNIs, and 0.9358 for 39 NNIs, surpassing the time-segmented approach, which yielded 0.4162, 0.6528, and 0.7943 for 10, 20, and 30-s intervals, respectively. These findings demonstrate that using NNI counts for ultra-short-term stress prediction improves accuracy by accounting for individual bio-signal variations.

The Role of Language in Remote Healthcare Triage: A Meta-Aggregative Review.

AIM(S): To provide an overview of evidence on the role of language in remote healthcare services prioritisation, from now on termed triage. This study synthesises literature, to better understand how language affects triage interactions, aiming to improve these processes. DESIGN: We conducted a meta-aggregative review. METHODS: A systematic search in Scopus from inception to September 2023 identified 437 studies on language in remote healthcare triage, of which 23 were included. Information was selected using both inductive and deductive coding, focusing on six linguistic features of interaction that have been described in the literature on studies using conversation analysis: turn-taking organisation, overall structure, sequence organisation, turn design, lexical choice, and epistemological and other forms of asymmetry. The process followed the RAMESES Publication Standards for Meta-narrative Reviews. RESULTS: Two main findings emerged. First, all six linguistic features are present in triage conversations, indicating that language involves more than just what is said. It also matters, for example, how and when a question is asked. Second, computerised decision support systems (CDSS) significantly affect conversation flow and dynamics. CONCLUSION: Language in triage involves more than literal speech and is heavily influenced by CDSS. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Our study suggests that quality assessments of triage conversations should consider not only what is said but cover all relevant aspects of language. The influence of computerised decision support systems (CDSS) on linguistic features highlights the need for systems to be adaptable, to improve conversation quality and better addressing caller needs rather than focusing on one-size-fits-all questions. IMPACT: This review highlights the complex role of language in triage conversations and its impact on interaction. It calls for a broader view of language in quality assessments, recognising that both call-takers and callers contribute to call quality. Insights from this review can help developers enhance question types, sequence, and delivery methods of computerised decision support systems. Finally, education for call-takers in healthcare sectors may be improved based on our findings. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Self-supervised in-domain representation learning for remote sensing image scene classification.

Transferring the ImageNet pre-trained weights to the various remote sensing tasks has produced acceptable results and reduced the need for labeled samples. However, the domain differences between ground imageries and remote sensing images cause the performance of such transfer learning to be limited. The difficulty of annotating remote sensing images is well-known as it requires domain experts and more time, whereas unlabeled data is readily available. Recently, self-supervised learning, which is a subset of unsupervised learning, emerged and significantly improved representation learning. Recent research has demonstrated that self-supervised learning methods capture visual features that are more discriminative and transferable than the supervised ImageNet weights. We are motivated by these facts to pre-train the in-domain representations of remote sensing imagery using contrastive self-supervised learning and transfer the learned features to other related remote sensing datasets. Specifically, we used the SimSiam algorithm to pre-train the in-domain knowledge of remote sensing datasets and then transferred the obtained weights to the other scene classification datasets. Thus, we have obtained state-of-the-art results on five land cover classification datasets with varying numbers of classes and spatial resolutions. In addition, by conducting appropriate experiments, including feature pre-training using datasets with different attributes, we have identified the most influential factors that make a dataset a good choice for obtaining in-domain features. We have transferred the features obtained by pre-training SimSiam on remote sensing datasets to various downstream tasks and used them as initial weights for fine-tuning. Moreover, we have linearly evaluated the obtained representations in cases where the number of samples per class is limited. Our experiments have demonstrated that using a higher-resolution dataset during the self-supervised pre-training stage results in learning more discriminative and general representations.