The advent of artificial intelligence(AI)in recent years has brought about transformative changes across various sectors,including healthcare.In nursing practice,education,and research,AI has the potential to revoluti...The advent of artificial intelligence(AI)in recent years has brought about transformative changes across various sectors,including healthcare.In nursing practice,education,and research,AI has the potential to revolutionize traditional methodologies,enhance learning experiences,and improve patient outcomes.Integrating AI tools and techniques can provide clinicians with smarter clinical solutions and nursing students with more robust and interactive learning environments,while also advancing research capabilities in the field.Despite the promising prospects,the incorporation of AI into nursing practice,education,and research presents several challenges.Firstly,there is a concern about the potential displacement of human roles in nursing due to automation,which may affect the human-centric nature of nursing care.Secondly,there are issues related to the lag in AI competency among nurses.Many current nursing curricula do not include comprehensive AI training,leading to a lack of preparedness in utilizing these technologies effectively.Lastly,the ethical implications of AI in healthcare,such as data privacy,patient consent,and the potential for biased algorithms,need to be meticulously addressed.To harness the full potential of AI in nursing practice,education,and research,several strategic actions including reinvesting in humanistic practice,revising core competencies and curriculum,and developing new ethical guidelines.展开更多
Cellular radiosensitivity is directly correlated with the mechanism of DNA repair, in which p53 protein plays a major role. In this context, this study correlated cell death with p53 expression in lymphocytes irradiat...Cellular radiosensitivity is directly correlated with the mechanism of DNA repair, in which p53 protein plays a major role. In this context, this study correlated cell death with p53 expression in lymphocytes irradiated in vitro with different doses of gammaradiation. For this, peripheral blood samples were collected from 10 healthy subjects. Each sample was divided in aliquots and, separately, irradiated with doses of 0,5;2 and 4 Gy. After this, peripheral blood mononuclear cells (PBMCs) were isolated and cultivated during 72 hours in 5% CO2 at 37oC without mitogen stimulation. The expression of p53 protein was evaluated by flow cytometry. In parallel, cell viability was determined by trypan blue staining. Statistical analysis was performed us-ing analysis of variance (ANOVA), differences were considered as statistically significant when p < 0.05. The results showed an increase of p53 expression with the absorbed dose, which was proportional to cell death, suggesting that p53 can be used as bioindicator of individual radiosensitivity.展开更多
The ability to exhibit appropriate emotions is crucial for the expressiveness and attractiveness of facial videos.However,it is difficult to control the level of emotion,even for experienced actors and amateur podcast...The ability to exhibit appropriate emotions is crucial for the expressiveness and attractiveness of facial videos.However,it is difficult to control the level of emotion,even for experienced actors and amateur podcasters on social networks.In this study,we aim to solve the novel problem of semantically amplifying the emotions of a facial video.This poses new challenges for effectively editing a sequence of video frames in terms of face semantics,emotion adaptiveness,and temporal coherence.Our approach is based on semantic face editing in the disentangled latent space of a state-of-the-art StyleGAN model.We presented a new face dataset with diverse emotions to fine-tune the pre-trained StyleGAN and improve the expressiveness of its original emotion-biased latent space.An emotion-editing subspace was constructed to allow adaptive emotion amplification while preserving other facial attributes.We further propose an effective stitching-tuning technique to ensure temporally coherent video frames.Our work results in plausible emotion amplification for a wide range of facial videos.Qualitative and quantitative evaluations demonstrated the advantages of our method over other baseline methods.The proposed dataset and research code will be made publicly available.展开更多
Objective To review this efficacy and safety of bortezomib, a proteasome inhibitor, in the setting of the sensitized transplant candidate. Data sources The data used in this review were from articles published （PubMe...Objective To review this efficacy and safety of bortezomib, a proteasome inhibitor, in the setting of the sensitized transplant candidate. Data sources The data used in this review were from articles published （PubMed） between 2000 to 2010. Additionally abstracts from medical meetings related to transplant were also used. Study selection Articles were selected if they were trial results or case studies for the use of bortezomib in the sensitized patient population.Results The early data using bortezomib as a part of desensitization regimens has shown success. Although one cycle （4 doses） of bortezomib seems to have affect on many patients, it also seems likely that to provide complete desensitization multiple cycles will be required. Regarding safety, bortezomib has been shown to have minimal side effects. The most common side effects reported are those of thrombocytopenia and anemia. These side effects are dose related and self limiting upon discontinuation of the treatment.Conclusions Bortezomib with plasmapheresis is a promising new alternative to desensitization protocols that use either high dose intravenous immune globulin （IVIG） or low dose IVIG and plasmapheresis. The efficacy on antibody reduction looks to be batter that that of the IVIG based regimens without significant addition toxicity. The results of ongoing prospective trials are positive and their complete results are greatly anticipated.展开更多
Recently,there has been an upsurge of activity in image-based non-photorealistic rendering(NPR),and in particular portrait image stylisation,due to the advent of neural style transfer(NST).However,the state of perform...Recently,there has been an upsurge of activity in image-based non-photorealistic rendering(NPR),and in particular portrait image stylisation,due to the advent of neural style transfer(NST).However,the state of performance evaluation in this field is poor,especially compared to the norms in the computer vision and machine learning communities.Unfortunately,the task of evaluating image stylisation is thus far not well defined,since it involves subjective,perceptual,and aesthetic aspects.To make progress towards a solution,this paper proposes a new structured,threelevel,benchmark dataset for the evaluation of stylised portrait images.Rigorous criteria were used for its construction,and its consistency was validated by user studies.Moreover,a new methodology has been developed for evaluating portrait stylisation algorithms,which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces.We perform evaluation for a wide variety of image stylisation methods(both portrait-specific and general purpose,and also both traditional NPR approaches and NST)using the new benchmark dataset.展开更多
With the constant and ever-growing pressure from governing bodies for increased sustainability of transportation systems,the need for changes in the travel behaviours of the inhabitants of suburban and urban areas see...With the constant and ever-growing pressure from governing bodies for increased sustainability of transportation systems,the need for changes in the travel behaviours of the inhabitants of suburban and urban areas seems inevitable.Thus a shift from cars to vehicles with higher occupancy rates or other more environmental friendly travel modes needs to be a priority.This requires understanding the reasons why people choose cars as their preferred mode of travel for commutes in order to make informed decisions about how to encourage changes in commuter travel behaviors.This paper presents a case study of four mediumsized Czech towns,including a survey concerning pre-and post-COVID-19 travel habits focused on identifying and understanding the willingness of car-dependent commuters to change their mode of travel choice.This three-stage survey revealed a small,COVID pandemia-based effect on the habits of respondents and helped to identify sensitivities survey participants had to particular travel parameters and characteristics that might be used by municipalities to implement informed policies that could lead to changes in travel behaviours.展开更多
文摘The advent of artificial intelligence(AI)in recent years has brought about transformative changes across various sectors,including healthcare.In nursing practice,education,and research,AI has the potential to revolutionize traditional methodologies,enhance learning experiences,and improve patient outcomes.Integrating AI tools and techniques can provide clinicians with smarter clinical solutions and nursing students with more robust and interactive learning environments,while also advancing research capabilities in the field.Despite the promising prospects,the incorporation of AI into nursing practice,education,and research presents several challenges.Firstly,there is a concern about the potential displacement of human roles in nursing due to automation,which may affect the human-centric nature of nursing care.Secondly,there are issues related to the lag in AI competency among nurses.Many current nursing curricula do not include comprehensive AI training,leading to a lack of preparedness in utilizing these technologies effectively.Lastly,the ethical implications of AI in healthcare,such as data privacy,patient consent,and the potential for biased algorithms,need to be meticulously addressed.To harness the full potential of AI in nursing practice,education,and research,several strategic actions including reinvesting in humanistic practice,revising core competencies and curriculum,and developing new ethical guidelines.
基金Conselho Nacional de Desenvolvimento Cientifico e Tecnologico(CNPq-Brazil)for financial support.
文摘Cellular radiosensitivity is directly correlated with the mechanism of DNA repair, in which p53 protein plays a major role. In this context, this study correlated cell death with p53 expression in lymphocytes irradiated in vitro with different doses of gammaradiation. For this, peripheral blood samples were collected from 10 healthy subjects. Each sample was divided in aliquots and, separately, irradiated with doses of 0,5;2 and 4 Gy. After this, peripheral blood mononuclear cells (PBMCs) were isolated and cultivated during 72 hours in 5% CO2 at 37oC without mitogen stimulation. The expression of p53 protein was evaluated by flow cytometry. In parallel, cell viability was determined by trypan blue staining. Statistical analysis was performed us-ing analysis of variance (ANOVA), differences were considered as statistically significant when p < 0.05. The results showed an increase of p53 expression with the absorbed dose, which was proportional to cell death, suggesting that p53 can be used as bioindicator of individual radiosensitivity.
基金supported by the National Key R&D Program of China(No.2022YFF0902302)National Natural Science Foundation of China(No.62322209)+1 种基金RCUK grant CAMERA(Nos.EP/M023281/1,EP/T022523/1)a gift from Adobe.
文摘The ability to exhibit appropriate emotions is crucial for the expressiveness and attractiveness of facial videos.However,it is difficult to control the level of emotion,even for experienced actors and amateur podcasters on social networks.In this study,we aim to solve the novel problem of semantically amplifying the emotions of a facial video.This poses new challenges for effectively editing a sequence of video frames in terms of face semantics,emotion adaptiveness,and temporal coherence.Our approach is based on semantic face editing in the disentangled latent space of a state-of-the-art StyleGAN model.We presented a new face dataset with diverse emotions to fine-tune the pre-trained StyleGAN and improve the expressiveness of its original emotion-biased latent space.An emotion-editing subspace was constructed to allow adaptive emotion amplification while preserving other facial attributes.We further propose an effective stitching-tuning technique to ensure temporally coherent video frames.Our work results in plausible emotion amplification for a wide range of facial videos.Qualitative and quantitative evaluations demonstrated the advantages of our method over other baseline methods.The proposed dataset and research code will be made publicly available.
文摘Objective To review this efficacy and safety of bortezomib, a proteasome inhibitor, in the setting of the sensitized transplant candidate. Data sources The data used in this review were from articles published （PubMed） between 2000 to 2010. Additionally abstracts from medical meetings related to transplant were also used. Study selection Articles were selected if they were trial results or case studies for the use of bortezomib in the sensitized patient population.Results The early data using bortezomib as a part of desensitization regimens has shown success. Although one cycle （4 doses） of bortezomib seems to have affect on many patients, it also seems likely that to provide complete desensitization multiple cycles will be required. Regarding safety, bortezomib has been shown to have minimal side effects. The most common side effects reported are those of thrombocytopenia and anemia. These side effects are dose related and self limiting upon discontinuation of the treatment.Conclusions Bortezomib with plasmapheresis is a promising new alternative to desensitization protocols that use either high dose intravenous immune globulin （IVIG） or low dose IVIG and plasmapheresis. The efficacy on antibody reduction looks to be batter that that of the IVIG based regimens without significant addition toxicity. The results of ongoing prospective trials are positive and their complete results are greatly anticipated.
文摘Recently,there has been an upsurge of activity in image-based non-photorealistic rendering(NPR),and in particular portrait image stylisation,due to the advent of neural style transfer(NST).However,the state of performance evaluation in this field is poor,especially compared to the norms in the computer vision and machine learning communities.Unfortunately,the task of evaluating image stylisation is thus far not well defined,since it involves subjective,perceptual,and aesthetic aspects.To make progress towards a solution,this paper proposes a new structured,threelevel,benchmark dataset for the evaluation of stylised portrait images.Rigorous criteria were used for its construction,and its consistency was validated by user studies.Moreover,a new methodology has been developed for evaluating portrait stylisation algorithms,which makes use of the different benchmark levels as well as annotations provided by user studies regarding the characteristics of the faces.We perform evaluation for a wide variety of image stylisation methods(both portrait-specific and general purpose,and also both traditional NPR approaches and NST)using the new benchmark dataset.
基金a result of the research done in the project:“Smart City-Smart Region-Smart Community”(Project No.CZ.02.1.01/0.0/0.0/17_048/0007435)financed by Czech Operational Programme“Research,Development and Education”for the implementation of the European Social Fund(ESF)the European Regional Development Fund(ERDF).
文摘With the constant and ever-growing pressure from governing bodies for increased sustainability of transportation systems,the need for changes in the travel behaviours of the inhabitants of suburban and urban areas seems inevitable.Thus a shift from cars to vehicles with higher occupancy rates or other more environmental friendly travel modes needs to be a priority.This requires understanding the reasons why people choose cars as their preferred mode of travel for commutes in order to make informed decisions about how to encourage changes in commuter travel behaviors.This paper presents a case study of four mediumsized Czech towns,including a survey concerning pre-and post-COVID-19 travel habits focused on identifying and understanding the willingness of car-dependent commuters to change their mode of travel choice.This three-stage survey revealed a small,COVID pandemia-based effect on the habits of respondents and helped to identify sensitivities survey participants had to particular travel parameters and characteristics that might be used by municipalities to implement informed policies that could lead to changes in travel behaviours.
