PlantKViT: A Combination Model of Vision Transformer and KNN for Forest Plants Classification

The natural ecosystem incorporates thousands of plant species and distinguishing them is normally manual, complicated, and time-consuming. Since the task requires a large amount of expertise, identifying forest plant species relies on the work of a team of botanical experts. The emergence of Machine Learning, especially Deep Learning, has opened up a new approach to plant classification. However, the application of plant classification based on deep learning models remains limited. This paper proposed a model, named PlantKViT, combining Vision Transformer architecture and the KNN algorithm to identify forest plants. The proposed model provides high efficiency and convenience for adding new plant species. The study was experimented with using Resnet-152, ConvNeXt networks, and the PlantKViT model to classify forest plants. The training and evaluation were implemented on the dataset of DanangForestPlant, containing 10,527 images and 489 species of forest plants. The accuracy of the proposed PlantKViT model reached 93%, significantly improved compared to the ConvNeXt model at 89% and the Resnet-152 model at only 76%. The authors also successfully developed a website and 2 applications called ‘plant id’ and ‘Danangplant’ on the iOS and Android platforms respectively. The PlantKViT model shows the potential in forest plant identification not only in the conducted dataset but also worldwide. Future work should gear toward extending the dataset and enhance the accuracy and performance of forest plant identification

Experiência de aprendizagem de estudantes de enfermagem na prevenção e controlo de infeções associadas aos cuidados de saúde (PC-IACS) em países asiáticos: um estudo qualitativo exploratório

Background: Healthcare-associated infection prevention and control (HAI-PC) education programs in Asian countries seem limited and require improvement and support. Objective: This study explored students’ learning experiences with HAI-PC education programs in Asian countries (two Vietnamese and two Cambodian universities) to support a pedagogical model in HAI-PC. Method: A qualitative exploratory study design was employed, and inductive content analysis was conducted. Students were selected to participate in the focus group to investigate their experiences with HAI-PC using five structured questions. There were 48 nursing students in total from four universities, 28 from 2 universities in Cambodia, and 20 from two universities in Vietnam. Results: The summary results gained from the four universities were synthesized by grouping them into sub-categories and four primary categories, which were students’ HAI-PC competence, students’ current learning methods in HAI-PC Education, the HAI-PC teaching and learning environment, students’ capacity, and entrepreneurial skills in HAI-PC development. Conclusion: This study revealed evidence to improve nursing education in HAI-PC in Asian countries. The new learning method of the simulation scenario and the model fascinated the students; they were happy and more confident about their future careers in practicing HAI-PC skills in their clinical practicum and hospital practice. The current HAI-PC education faces issues related to education and healthcare systems in Asian countries, highlighting the need for improvement.Enquadramento: Os programas de educação em prevenção e controlo de infeções associadas aos cuidados de saúde (PC-IAS) em países asiáticos parecem ser limitados e necessitam de melhorias e apoio. Objetivo: Este estudo explorou as experiências de aprendizagem dos estudantes com programas de educação em PC-IAS em países asiáticos (duas universidades vietnamitas e duas universidades cambojanas) para apoiar um modelo pedagógico em PC-IAS. Método: Foi utilizado um desenho de estudo exploratório qualitativo, e foi realizada uma análise de conteúdo indutiva. Os estudantes foram selecionados para participar no grupo focal para investigar as suas experiências com PC-IAS usando cinco perguntas estruturadas. No total, participaram 48 estudantes de enfermagem de quatro universidades, sendo 28 de duas universidades no Camboja e 20 de duas universidades no Vietname. Resultados: Os resultados resumidos das quatro universidades foram sintetizados agrupando-os em subcategorias e quatro categorias principais, que eram competência dos estudantes em PC-IAS, métodos de aprendizagem atuais dos estudantes em Educação em PC-IAS, ambiente de ensino e aprendizagem em PC-IAS, capacidade dos estudantes e habilidades empreendedoras no desenvolvimento de PC-IAS. Conclusão: Este estudo revelou evidências para melhorar a educação em enfermagem em PC-IAS em países asiáticos. O novo método de aprendizagem do cenário de simulação e o modelo cativaram os estudantes; eles ficaram felizes e mais confiantes em relação às suas futuras carreiras na prática de habilidades em PC-IAS no estágio clínico e na prática hospitalar. A educação atual em PC-IAS enfrenta questões relacionadas aos sistemas de educação e saúde em países asiáticos, destacando a necessidade de melhorias

Simulação como método de ensino na formação em enfermagem na prevenção e controlo de infeções associadas aos cuidados de saúde em países asiáticos: um estudo qualitativo

Background: Applying simulation for nursing education, especially in healthcare-associated infection prevention and control (HAI-PC) in developing countries has limited evidence. The study was conducted to explore educators’ perceptions of simulation as a teaching method for nursing education in HAI-PC in two Vietnamese and two Cambodian universities. Methods: An exploratory qualitative design was applied. A focus group of 37 educators from four universities was conducted for data collection. Inductive and deductive qualitative content analysis was applied in analysing the data. Results: The core category was constructed to reflect educators’ perception of scenario-based simulation (SBS) as a teaching method for nursing education in HAI prevention and control. This main category included three subcategories: (i) enhancing nursing competence; (ii) preparing students for simulation; and [1] promoting simulation pedagogy competence. Conclusions: The findings identified the importance and benefits of applying simulation as a teaching method in nursing education. Additionally, it emphasized the necessity of enhancing knowledge associated with HAIs and providing additional training on simulation for educators to improve the quality of conducting simulations.Enquadramento: A aplicação da simulação no ensino de enfermagem, especialmente na prevenção e controlo de infeções associadas aos cuidados de saúde (IACS), em países em desenvolvimento, tem evidências limitadas. O estudo foi conduzido para explorar as perceções dos educadores sobre a simulação como método de ensino para a formação em enfermagem na prevenção e controlo de IACS em duas universidades vietnamitas e duas universidades cambojanas. Métodos: Foi aplicado um desenho qualitativo exploratório. Um grupo de discussão com 37 educadores de quatro universidades foi conduzido para a recolha de dados. A análise qualitativa de conteúdo indutiva e dedutiva foi aplicada na análise dos dados. Resultados: A categoria central foi construída para refletir a perceção dos educadores sobre a simulação baseada em cenários (SBC) como método de ensino para a formação em enfermagem na prevenção e controlo de IACS. Esta categoria principal incluiu três subcategorias: (i) aprimoramento da competência em enfermagem; (ii) preparação dos estudantes para a simulação; e [1] promoção da competência em pedagogia de simulação. Conclusões: Os resultados identificaram a importância e benefícios da aplicação da simulação como método de ensino na formação em enfermagem. Além disso, enfatizou a necessidade de aprimorar o conhecimento associado às ICACS e fornecer treinamento adicional sobre simulação para educadores, visando melhorar a qualidade da condução das simulações

Experiências do estudante de enfermagem na aprendizagem da prevenção e controlo de IACS em países asiáticos através do uso de simulação baseada em cenários: um estudo qualitativo exploratório

Background: Healthcare-associated infections (HAIs) have posed a major threat to both patients and to the safety healthcare personnel worldwide. According to the World Health Organization, 10% of hospitalized patients are affected by HAIs worldwide. Objective: The objective of this study was to explore the experiences of nursing students in learning HAIs prevention and control by the application of the scenario-based simulation pedagogy now in use in two Vietnamese and two Cambodian universities. Methods: A qualitative study was conducted among 160 nursing students from 2 Cambodian universities and 2 Vietnamese universities, and by using the purposive-sampling method. The data were collected through a focus group discussion and analyzed by the Graneheim and Lundman method (Graneheim & Lundman, 2004). Results: Two themes and six categories were generated. 1) First theme: factors for enhancing student learning on the prevention and control of HAIs by use of scenario-based simulation; and 2) Second theme: factors hindering students learning on HAI prevention and control by use of scenario-based simulation. Conclusion: The findings showed that SBS is an effective learning method for nursing students that can be applied to enhance the quality of nursing education in the Asian countries as SBS not only improves the clinical skills, but also the soft skills of nursing students. However, the effective outcomes and impacts can only be achieved in the context with the appropriate learning materials and equipment, simulation facilities and the instructors with pedagogical skills.Enquadramento: As infeções associadas a cuidados de saúde (IACS) têm representado uma grande ameaça tanto para os pacientes quanto para a segurança dos profissionais de saúde em todo o mundo. De acordo com a Organização Mundial da Saúde, 10% dos pacientes hospitalizados são afetados por IACS em todo o mundo. Objetivo: O objetivo deste estudo foi explorar as experiências dos estudantes de enfermagem na aprendizagem da prevenção e controlo de IACS através da aplicação da pedagogia de simulação baseada em cenários, atualmente em uso em duas universidades vietnamitas e duas universidades cambojanas. Métodos: Um estudo qualitativo foi conduzido entre 160 estudantes de enfermagem de duas universidades cambojanas e duas universidades vietnamitas, utilizando o método de amostragem propositada. Os dados foram recolhidos através de uma discussão em grupo focal e analisados pelo método de Graneheim e Lundman (Graneheim & Lundman, 2004). Resultados: Dois temas e seis categorias foram gerados. 1) Primeiro tema: fatores que contribuem para a aprendizagem dos estudantes na prevenção e controlo de IACS pelo uso de simulação baseada em cenários; e 2) Segundo tema: fatores que impedem a aprendizagem dos estudantes na prevenção e controlo de IACS pelo uso de simulação baseada em cenários (SBC). Conclusão: Os resultados demonstraram que a SBC é um método de aprendizagem eficaz para estudantes de enfermagem que pode ser aplicado para melhorar a qualidade da educação em enfermagem nos países asiáticos, uma vez que a SBC não só melhora as habilidades clínicas, mas também as habilidades interpessoais dos estudantes de enfermagem. No entanto, os resultados e impactos efetivos só podem ser alcançados no contexto com os materiais e equipamentos de aprendizagem apropriados, instalações de simulação e instrutores com habilidades pedagógicas

SIMULATION AS A TEACHING METHOD FOR NURSING EDUCATION IN HEALTHCARE-ASSOCIATED INFECTION PREVENTION AND CONTROL IN ASIAN COUNTRIES: A QUALITATIVE STUDY

BACKGROUND: Applying simulation for nursing education, especially in healthcare-associated infection prevention and control (HAI-PC) in developing countries has limited evidence. The study was conducted to explore educators’ perceptions of simulation as a teaching method for nursing education in HAI-PC in two Vietnamese and two Cambodian universities. METHODS: An exploratory qualitative design was applied. A focus group of 37 educators from four universities was conducted for data collection. Inductive and deductive qualitative content analysis was applied in analysing the data. RESULTS: The core category was constructed to reflect educators’ perception of scenario-based simulation (SBS) as a teaching method for nursing education in HAI prevention and control. This main category included three subcategories: (i) enhancing nursing competence; (ii) preparing students for simulation; and [1] promoting simulation pedagogy competence. CONCLUSIONS: The findings identified the importance and benefits of applying simulation as a teaching method in nursing education. Additionally, it emphasized the necessity of enhancing knowledge associated with HAIs and providing additional training on simulation for educators to improve the quality of conducting simulations

EXPERIENCES OF THE NURSING STUDENT IN LEARNING HAI PREVENTION AND CONTROL IN ASIAN COUNTRIES THROUGH THE USE OF SCENARIO-BASED SIMULATION: AN EXPLORATIVE QUALITATIVE STUDY

BACKGROUND: Healthcare-associated infections (HAIs) have posed a major threat to both patients and to the safety healthcare personnel worldwide. According to the World Health Organization, 10% of hospitalized patients are affected by HAIs worldwide. OBJECTIVE: The objective of this study was to explore the experiences of nursing students in learning HAIs prevention and control by the application of the scenario-based simulation pedagogy now in use in two Vietnamese and two Cambodian universities. METHODS: A qualitative study was conducted among 160 nursing students from 2 Cambodian universities and 2 Vietnamese universities, and by using the purposive-sampling method. The data were collected through a focus group discussion and analyzed by the Graneheim and Lundman method (Graneheim & Lundman, 2004). RESULTS: Two themes and six categories were generated. 1) First theme: factors for enhancing student learning on the prevention and control of HAIs by use of scenario-based simulation; and 2) Second theme: factors hindering students learning on HAI prevention and control by use of scenario-based simulation. CONCLUSION: The findings showed that SBS is an effective learning method for nursing students that can be applied to enhance the quality of nursing education in the Asian countries as SBS not only improves the clinical skills, but also the soft skills of nursing students. However, the effective outcomes and impacts can only be achieved in the context with the appropriate learning materials and equipment, simulation facilities and the instructors with pedagogical skills

Safety and efficacy of fluoxetine on functional outcome after acute stroke (AFFINITY): a randomised, double-blind, placebo-controlled trial

Background Trials of fluoxetine for recovery after stroke report conflicting results. The Assessment oF FluoxetINe In sTroke recoverY (AFFINITY) trial aimed to show if daily oral fluoxetine for 6 months after stroke improves functional outcome in an ethnically diverse population. Methods AFFINITY was a randomised, parallel-group, double-blind, placebo-controlled trial done in 43 hospital stroke units in Australia (n=29), New Zealand (four), and Vietnam (ten). Eligible patients were adults (aged ≥18 years) with a clinical diagnosis of acute stroke in the previous 2–15 days, brain imaging consistent with ischaemic or haemorrhagic stroke, and a persisting neurological deficit that produced a modified Rankin Scale (mRS) score of 1 or more. Patients were randomly assigned 1:1 via a web-based system using a minimisation algorithm to once daily, oral fluoxetine 20 mg capsules or matching placebo for 6 months. Patients, carers, investigators, and outcome assessors were masked to the treatment allocation. The primary outcome was functional status, measured by the mRS, at 6 months. The primary analysis was an ordinal logistic regression of the mRS at 6 months, adjusted for minimisation variables. Primary and safety analyses were done according to the patient's treatment allocation. The trial is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12611000774921. Findings Between Jan 11, 2013, and June 30, 2019, 1280 patients were recruited in Australia (n=532), New Zealand (n=42), and Vietnam (n=706), of whom 642 were randomly assigned to fluoxetine and 638 were randomly assigned to placebo. Mean duration of trial treatment was 167 days (SD 48·1). At 6 months, mRS data were available in 624 (97%) patients in the fluoxetine group and 632 (99%) in the placebo group. The distribution of mRS categories was similar in the fluoxetine and placebo groups (adjusted common odds ratio 0·94, 95% CI 0·76–1·15; p=0·53). Compared with patients in the placebo group, patients in the fluoxetine group had more falls (20 [3%] vs seven [1%]; p=0·018), bone fractures (19 [3%] vs six [1%]; p=0·014), and epileptic seizures (ten [2%] vs two [<1%]; p=0·038) at 6 months. Interpretation Oral fluoxetine 20 mg daily for 6 months after acute stroke did not improve functional outcome and increased the risk of falls, bone fractures, and epileptic seizures. These results do not support the use of fluoxetine to improve functional outcome after stroke

Analysis and Prediction Model of Fuel Consumption and Carbon Dioxide Emissions of Light-Duty Vehicles

Due to the alarming rate of climate change, fuel consumption and emission estimates are critical in determining the effects of materials and stringent emission control strategies. In this research, an analytical and predictive study has been conducted using the Government of Canada dataset, containing 4973 light-duty vehicles observed from 2017 to 2021, delivering a comparative view of different brands and vehicle models by their fuel consumption and carbon dioxide emissions. Based on the findings of the statistical data analysis, this study makes evidence-based recommendations to both vehicle users and producers to reduce their environmental impacts. Additionally, Convolutional Neural Networks (CNN) and various regression models have been built to estimate fuel consumption and carbon dioxide emissions for future vehicle designs. This study reveals that the Univariate Polynomial Regression model is the best model for predictions from one vehicle feature input, with up to 98.6% accuracy. Multiple Linear Regression and Multivariate Polynomial Regression are good models for predictions from multiple vehicle feature inputs, with approximately 75% accuracy. Convolutional Neural Network is also a promising method for prediction because of its stable and high accuracy of around 70%. The results contribute to the quantifying process of energy cost and air pollution caused by transportation, followed by proposing relevant recommendations for both vehicle users and producers. Future research should aim towards developing higher performance models and larger datasets for building APIs and applications

PlantKViT: A Combination Model of Vision Transformer and KNN for Forest Plants Classification

The natural ecosystem incorporates thousands of plant species and distinguishing them is normally manual, complicated, and time-consuming. Since the task requires a large amount of expertise, identifying forest plant species relies on the work of a team of botanical experts. The emergence of Machine Learning, especially Deep Learning, has opened up a new approach to plant classification. However, the application of plant classification based on deep learning models remains limited. This paper proposed a model, named PlantKViT, combining Vision Transformer architecture and the KNN algorithm to identify forest plants. The proposed model provides high efficiency and convenience for adding new plant species. The study was experimented with using Resnet-152, ConvNeXt networks, and the PlantKViT model to classify forest plants. The training and evaluation were implemented on the dataset of DanangForestPlant, containing 10,527 images and 489 species of forest plants. The accuracy of the proposed PlantKViT model reached 93%, significantly improved compared to the ConvNeXt model at 89% and the Resnet-152 model at only 76%. The authors also successfully developed a website and 2 applications called ‘plant id’ and ‘Danangplant’ on the iOS and Android platforms respectively. The PlantKViT model shows the potential in forest plant identification not only in the conducted dataset but also worldwide. Future work should gear toward extending the dataset and enhance the accuracy and performance of forest plant identification