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1.
Front Public Health ; 12: 1276536, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38665243

RESUMO

Objective: The aims of this survey were to investigate the public awareness of drug clinical trials (DCTs) and willingness to participate the DCTs, and provide references for propaganda and science popularization of DCTs. Methods: A self-designed questionnaire named "an online survey questionnaire on public awareness of DCTs" was used to conduct an online survey from January to March 2022. The demographic characteristics and the response of participants to the awareness and willingness to participate the DCTs were collected. The factors affecting the public awareness of DCTs were analyzed by single factor and binary logistic regression analysis. Results: One thousand three hundred eighty valid questionnaires were collected, and the respondents' awareness rate of DCTs was 61.1%. Thirteen demographic characteristics including age, gender, education, occupation, work fields, household type, marital status, city type, income, medical insurance, medical expenditure, pressure to seek medical care, financial pressure, both significantly affected the qualified rate of participants' awareness of DCTs (p < 0.001) by single factor analysis. Binary logistic regression analysis indicated that education level, work fields, city type, medical insurance, and medical expenditure affected independently the participants' awareness rate of DCTs (p < 0.001). 52.9% of the participants were willing to take part in DCTs. "to promote medical progress" (54.4%) or "believe doctors" (31.1%) were the most frequent reasons for subjects participating in DCTs. Conclusion: The public awareness rate of DCTs and the willingness to participate in drug clinical were significantly affected by the demographic characteristics of subjects. Thus, targeting the needs of the public, propaganda, and science popularization of DCTs should be carried out and served public health.


Assuntos
Ensaios Clínicos como Assunto , Humanos , Feminino , Masculino , China , Adulto , Inquéritos e Questionários , Pessoa de Meia-Idade , Conhecimentos, Atitudes e Prática em Saúde , Cidades , Adulto Jovem , Conscientização , Adolescente , Idoso , Internet
3.
Health Promot Int ; 39(2)2024 Apr 01.
Artigo em Inglês | MEDLINE | ID: mdl-38568731

RESUMO

Sugar-sweetened beverages (SSBs) are drinks that contain added sugar or sweeteners and provide calories with no additional nutrients, and some countries have imposed additional taxes on the SSBs to reduce consumption, which is considered an SSB tax policy. This study used a cross-sectional online survey to examine the patterns of public support for an SSB tax in Taiwan. The sample included 1617 adults aged ≥ 20 years, who answered the survey questionnaire between May 2020 and April 2021. The respondents were recruited using convenience sampling, but sampling weights were applied to represent the Taiwanese population. Generalized ordered logit models with sampling weights were used to examine the correlates of public support for an SSB tax. Results showed that ~60% of the respondents supported the SSB tax and 47% perceived the tax to be effective. The respondents who were aware of the perceived health risks of SSBs or those who believed that one should be partly responsible for the health impact of SSBs were more likely to show support for the SSB tax. In adjusted regression models, both one's perceived risk and perceived responsibility of SSBs were positively associated with the perceived effectiveness of the SSB tax after sociodemographic characteristics were controlled. These research findings show evidence that there is public support for implementing an SSB tax to reduce SSB consumption in Taiwan.


Assuntos
Bebidas Adoçadas com Açúcar , Adulto , Humanos , Taiwan , Estudos Transversais , Impostos , Conscientização
4.
Scand J Trauma Resusc Emerg Med ; 32(1): 25, 2024 Apr 02.
Artigo em Inglês | MEDLINE | ID: mdl-38566146

RESUMO

BACKGROUND: There is no universal agreement on what competence in disaster medicine is, nor what competences and personal attributes add value for disaster responders. Some studies suggest that disaster responders need not only technical skills but also non-technical skills. Consensus of which non-technical skills are needed and how training for these can be provided is lacking, and little is known about how to apply knowledge of non-technical skills in the recruitment of disaster responders. Therefore, this scoping review aimed to identify the non-technical skills required for the disaster medicine response. METHOD: A scooping review using the Arksey & O´Malley framework was performed. Structured searches in the databases PuBMed, CINAHL Full Plus, Web of Science, PsycInfo and Scopus was conducted. Thereafter, data were structured and analyzed. RESULTS: From an initial search result of 6447 articles, 34 articles were included in the study. These covered both quantitative and qualitative studies and different contexts, including real events and training. The most often studied real event were responses following earthquakes. Four non-technical skills stood out as most frequently mentioned: communication skills; situational awareness; knowledge of human resources and organization and coordination skills; decision-making, critical-thinking and problem-solving skills. The review also showed a significant lack of uniform use of terms like skills or competence in the reviewed articles. CONCLUSION: Non-technical skills are skills that disaster responders need. Which non-technical skills are most needed, how to train and measure non-technical skills, and how to implement non-technical skills in disaster medicine need further studies.


Assuntos
Desastres , Humanos , Consenso , Conscientização , Pesquisa Qualitativa
5.
Neuron ; 112(7): 1040-1044, 2024 Apr 03.
Artigo em Inglês | MEDLINE | ID: mdl-38574727

RESUMO

Lucid dreaming allows conscious awareness and control of vivid dream states; however, its rarity and instability make neuroscientific experimentation challenging. Recent advances in wearable neurotechnology, large-scale collaborations, citizen neuroscience, and artificial intelligence increasingly facilitate the decoding of this intriguing phenomenon.


Assuntos
Conscientização , Neurociências , Inteligência Artificial , Sonhos , Estado de Consciência
7.
Front Public Health ; 12: 1342937, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38601490

RESUMO

Background: The healthcare sector demands a higher degree of responsibility, trustworthiness, and accountability when implementing Artificial Intelligence (AI) systems. Machine learning operations (MLOps) for AI-based medical diagnostic systems are primarily focused on aspects such as data quality and confidentiality, bias reduction, model deployment, performance monitoring, and continuous improvement. However, so far, MLOps techniques do not take into account the need to provide resilience to disturbances such as adversarial attacks, including fault injections, and drift, including out-of-distribution. This article is concerned with the MLOps methodology that incorporates the steps necessary to increase the resilience of an AI-based medical diagnostic system against various kinds of disruptive influences. Methods: Post-hoc resilience optimization, post-hoc predictive uncertainty calibration, uncertainty monitoring, and graceful degradation are incorporated as additional stages in MLOps. To optimize the resilience of the AI based medical diagnostic system, additional components in the form of adapters and meta-adapters are utilized. These components are fine-tuned during meta-training based on the results of adaptation to synthetic disturbances. Furthermore, an additional model is introduced for post-hoc calibration of predictive uncertainty. This model is trained using both in-distribution and out-of-distribution data to refine predictive confidence during the inference mode. Results: The structure of resilience-aware MLOps for medical diagnostic systems has been proposed. Experimentally confirmed increase of robustness and speed of adaptation for medical image recognition system during several intervals of the system's life cycle due to the use of resilience optimization and uncertainty calibration stages. The experiments were performed on the DermaMNIST dataset, BloodMNIST and PathMNIST. ResNet-18 as a representative of convolutional networks and MedViT-T as a representative of visual transformers are considered. It is worth noting that transformers exhibited lower resilience than convolutional networks, although this observation may be attributed to potential imperfections in the architecture of adapters and meta-adapters. Сonclusion: The main novelty of the suggested resilience-aware MLOps methodology and structure lie in the separating possibilities and activities on creating a basic model for normal operating conditions and ensuring its resilience and trustworthiness. This is significant for the medical applications as the developer of the basic model should devote more time to comprehending medical field and the diagnostic task at hand, rather than specializing in system resilience. Resilience optimization increases robustness to disturbances and speed of adaptation. Calibrated confidences ensure the recognition of a portion of unabsorbed disturbances to mitigate their impact, thereby enhancing trustworthiness.


Assuntos
Inteligência Artificial , Resiliência Psicológica , Aprendizado de Máquina , Conscientização , Confiabilidade dos Dados
8.
Nurs Open ; 11(4): e2154, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38606846

RESUMO

AIM: The aim of this study was to: (1) use cognitive task analysis to describe final year nursing students situation awareness in recognising, responding and escalating care of deteriorating patients in ward settings; and (2) make recommendations for training and practice. DESIGN: A mixed methods cognitive task analysis with a convergent triangulation design. METHOD: Data collection involved observations of 33 final year nursing students in simulated deteriorating patient scenarios and retrospective cognitive interviews. A process tracing technique was applied to identify the cues to deterioration participants perceived; how cue perception altered as situational demands increased; the extent that participants made connections between perceived cues and reached a situational understanding; and the factors that influenced and constrained participants situation awareness. Qualitative and quantitative findings are woven together and presented using descriptive statistics, illustrative quotations and timeline extractions. RESULTS: The median cue perception was 65.4% and 57.6% in the medical and surgical scenarios, respectively. Perception was negatively influenced by incomplete vital sign monitoring as situations escalated; limited physical assessments; passive scanning behaviours; poor task automaticity; and excessive cognitive demands. Incomplete perception, poor cue integration and underdeveloped mental models influenced situational understanding. Escalation calls did not always accurately reflect situations and a reporting mindset was evident. Clinical exposure to deteriorating patients was described as variable and opportunistic. REPORTING METHOD: The study is reported in accordance with the Good Reporting of a Mixed Methods Study (GRAMMS) checklist. PATIENT OR PUBLIC CONTRIBUTION: Patients and public were not involved in this research.


Assuntos
Bacharelado em Enfermagem , Estudantes de Enfermagem , Humanos , Conscientização , Estudantes de Enfermagem/psicologia , Estudos Retrospectivos , Bacharelado em Enfermagem/métodos , Simulação de Paciente
9.
PLoS One ; 19(4): e0302275, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38626177

RESUMO

Although deep-learning methods can achieve human-level performance in boundary detection, their improvements mostly rely on larger models and specific datasets, leading to significant computational power consumption. As a fundamental low-level vision task, a single model with fewer parameters to achieve cross-dataset boundary detection merits further investigation. In this study, a lightweight universal boundary detection method was developed based on convolution and a transformer. The network is called a "transformer with difference convolutional network" (TDCN), which implies the introduction of a difference convolutional network rather than a pure transformer. The TDCN structure consists of three parts: convolution, transformer, and head function. First, a convolution network fused with edge operators is used to extract multiscale difference features. These pixel difference features are then fed to the hierarchical transformer as tokens. Considering the intrinsic characteristics of the boundary detection task, a new boundary-aware self-attention structure was designed in the transformer to provide inductive bias. By incorporating the proposed attention loss function, it introduces the direction of the boundary as strongly supervised information to improve the detection ability of the model. Finally, several head functions with multiscale feature inputs were trained using a bidirectional additive strategy. In the experiments, the proposed method achieved competitive performance on multiple public datasets with fewer model parameters. A single model was obtained to realize universal prediction even for different datasets without retraining, demonstrating the effectiveness of the method. The code is available at https://github.com/neulmc/TDCN.


Assuntos
Conscientização , Baixa Visão , Humanos , Fontes de Energia Elétrica , Gestão da Informação , Menopausa
10.
BMC Psychiatry ; 24(1): 288, 2024 Apr 17.
Artigo em Inglês | MEDLINE | ID: mdl-38632564

RESUMO

OBJECTIVE: Intuitive eating is an eating behavior that has recently come to use mainly in the young population. Knowing that the Lebanese cultural diet differs from other countries, the purpose of this study was to investigate if there is a relationship between self-esteem, interoceptive awareness, and motivation for healthy eating in a sample of Lebanese adults using a Latent Profile Analysis approach. DESIGN: Cross-sectional study. SETTING: Lebanese governorates. PARTICIPANTS: 359 Lebanese participants enrolled in this study (mean age: 22.75 ± 7.04 years, 40.1% males), through convenience sampling in several Lebanese governorates. Participants were asked to fill anonymously the following scales: The Intuitive Eating Scale (IES-2), the Rosenberg Self-Esteem Scale, the Multidimensional Assessment of Interoceptive Awareness Scale (MAIA), and the Motivation for Healthy Eating Scale (MHES). RESULTS: Our findings revealed four profiles: profile 1 (n = 67; 18.66%) characterized by high SE and intermediate interoceptive awareness and motivation for healthy eating; profile 2 (n = 86; 23.97%) presented high SE, interoceptive awareness, and motivation for healthy eating; profile 3 (n = 86; 23.96%) characterized by high SE, interoceptive awareness, and motivation for healthy eating; class 4 (n = 108; 30.08) described by low SE, intermediate interoceptive awareness, and motivation for healthy eating One-way analysis of variance did not observe a significant difference between the four profiles based on intuitive eating (F = 1.810; p = 0.145; ɳp2 = 0.015). CONCLUSIONS: Among a sample of Lebanese people, four profiles of interoceptive awareness, motivation for healthy eating, and self-esteem were observed, with no difference concerning intuitive eating.


Assuntos
Dieta Saudável , População do Oriente Médio , Motivação , Adulto , Masculino , Humanos , Adolescente , Adulto Jovem , Feminino , Estudos Transversais , Dieta , Conscientização
11.
Front Public Health ; 12: 1303319, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38584922

RESUMO

Introduction: Since its introduction in November 2022, the artificial intelligence large language model ChatGPT has taken the world by storm. Among other applications it can be used by patients as a source of information on diseases and their treatments. However, little is known about the quality of the sarcoma-related information ChatGPT provides. We therefore aimed at analyzing how sarcoma experts evaluate the quality of ChatGPT's responses on sarcoma-related inquiries and assess the bot's answers in specific evaluation metrics. Methods: The ChatGPT responses to a sample of 25 sarcoma-related questions (5 definitions, 9 general questions, and 11 treatment-related inquiries) were evaluated by 3 independent sarcoma experts. Each response was compared with authoritative resources and international guidelines and graded on 5 different metrics using a 5-point Likert scale: completeness, misleadingness, accuracy, being up-to-date, and appropriateness. This resulted in maximum 25 and minimum 5 points per answer, with higher scores indicating a higher response quality. Scores ≥21 points were rated as very good, between 16 and 20 as good, while scores ≤15 points were classified as poor (11-15) and very poor (≤10). Results: The median score that ChatGPT's answers achieved was 18.3 points (IQR, i.e., Inter-Quartile Range, 12.3-20.3 points). Six answers were classified as very good, 9 as good, while 5 answers each were rated as poor and very poor. The best scores were documented in the evaluation of how appropriate the response was for patients (median, 3.7 points; IQR, 2.5-4.2 points), which were significantly higher compared to the accuracy scores (median, 3.3 points; IQR, 2.0-4.2 points; p = 0.035). ChatGPT fared considerably worse with treatment-related questions, with only 45% of its responses classified as good or very good, compared to general questions (78% of responses good/very good) and definitions (60% of responses good/very good). Discussion: The answers ChatGPT provided on a rare disease, such as sarcoma, were found to be of very inconsistent quality, with some answers being classified as very good and others as very poor. Sarcoma physicians should be aware of the risks of misinformation that ChatGPT poses and advise their patients accordingly.


Assuntos
Inteligência Artificial , Sarcoma , Humanos , Idioma , Conscientização , Fonte de Informação
12.
Adv Tech Stand Neurosurg ; 50: 335-346, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38592537

RESUMO

Values-based medicine (VsBM) is an ethical concept, and bioethical framework has been developed to ensure that medical ethics and values are implemented, pervasive, and powerful parameters influencing decisions about health, clinical practice, teaching, medical industry, career development, malpractice, and research. Neurosurgeons tend to adopt ethics according to their own values and to what they see and learn from teachers. Neurosurgeons, in general, are aware about ethical codes and the patient's rights. However, the philosophy, concept, and principles of medical ethics are rarely included in the training programs or in training courses. The impact of implementing, observing the medical ethics and the patients' value and culture on the course, and outcome of patients' management should not underestimate. The main principles of medical ethics are autonomy, beneficence, nonmaleficence, justice, dignity, and honesty, which should be strictly observed in every step of medical practice, research, teaching, and publication. Evidence-based medicine has been popularized in the last 40-50 years in order to raise up the standard of medical practice. Medical ethics and values have been associated with the medical practice for thousands of years since patients felt a need for treatment. There is no conflict between evidence-based medicine and values-based medicine, as a medical practice should always be performed within a frame of ethics and respect for patients' values. Observing the principles of values-based medicine became very relevant as multicultural societies are dominant in some countries and hospitals in different corners of the world.


Assuntos
Brassicaceae , Obrigações Morais , Humanos , Conscientização , Beneficência , Códigos de Ética
13.
Prog Brain Res ; 284: 53-64, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38609295

RESUMO

Celsus gave an adequate description of the bones and sutures of the calvarium. His classification of injuries was simple including fissures and depressions. He is the first to relate specific symptoms to specific tissue injury. In addition, he was aware that fractures could be present in the absence of typical findings. He was also the first to note the meningeal vessels could rupture producing severe localized pain. His treatment was more conservative than that of Hippocrates. Plasters were to be used and if there was no deterioration trepanation was avoided. He described the use of the crown trepan (modiolus) and the instrument with a smaller tip which expands rapidly to prevent penetration. He also described the technique of rotating the trepan between the palms. His description of operations for depressed fractures were unusually clear and relevant even by modern standards. His wound care is strikingly different from that of Hippocrates as he advocates various dressings soaked in vinegar and as time passes plasters should be softened with rose oil. Regrettably, Celsus influence would not be felt until the time of the Renaissance, because his texts were lost. However, his "De Medicina" was rediscovered and became the first medical text to be published using the new moveable type printing press, in the year 1478. Thus, his influence was minimal in the Arabic world and the early Renaissance. Thereafter it was profound.


Assuntos
Ácido Acético , Conscientização , Masculino , Humanos , Cidade de Roma , Emoções , Dor
14.
J Med Internet Res ; 26: e47278, 2024 Apr 11.
Artigo em Inglês | MEDLINE | ID: mdl-38602748

RESUMO

BACKGROUND: The digitalization of public and health sectors worldwide is fundamentally changing health systems. With the implementation of digital health services in health institutions, a focus on digital health literacy and the use of digital health services have become more evident. In Denmark, public institutions use digital tools for different purposes, aiming to create a universal public digital sector for everyone. However, this digitalization risks reducing equity in health and further marginalizing citizens who are disadvantaged. Therefore, more knowledge is needed regarding patients' digital practices and experiences with digital health services. OBJECTIVE: This study aims to examine digital practices and experiences with public digital health services and digital tools from the perspective of patients in the neurology field and address the following research questions: (1) How do patients use digital services and digital tools? (2) How do they experience them? METHODS: We used a qualitative design with a hermeneutic approach. We conducted 31 semistructured interviews with patients who were hospitalized or formerly hospitalized at the department of neurology in a hospital in Denmark. The interviews were audio recorded and subsequently transcribed. The text from each transcribed interview was analyzed using manifest content analysis. RESULTS: The analysis provided insights into 4 different categories regarding digital practices and experiences of using digital tools and services in health care systems: social resources as a digital lifeline, possessing the necessary capabilities, big feelings as facilitators or barriers, and life without digital tools. Our findings show that digital tools were experienced differently, and specific conditions were important for the possibility of engaging in digital practices, including having access to social resources; possessing physical, cognitive, and communicative capabilities; and feeling motivated, secure, and comfortable. These prerequisites were necessary for participants to have positive experiences using digital tools in the health care system. Those who did not have these prerequisites experienced challenges and, in some cases, felt left out. CONCLUSIONS: Experiences with digital practices and digital health services are complex and multifaceted. Engagement in digital practices for the examined population requires access to continuous assistance from their social network. If patients do not meet requirements, digital health services can be experienced as exclusionary and a source of concern. Physical, cognitive, and communicative difficulties might make it impossible to use digital tools or create more challenges. To ensure that digitalization does not create inequities in health, it is necessary for developers and institutions to be aware of the differences in digital health literacy, focus on simplifying communication with patients and next of kin, and find flexible solutions for citizens who are disadvantaged.


Assuntos
Conscientização , 60713 , Humanos , Pesquisa Qualitativa , Hermenêutica , Comunicação
15.
Sci Rep ; 14(1): 9302, 2024 04 23.
Artigo em Inglês | MEDLINE | ID: mdl-38654060

RESUMO

We capitalized on the respiratory bodily illusion that we discovered in a previous study and called 'Embreathment' where we showed that breathing modulates corporeal awareness in men. Despite the relevance of the issue, no such studies are available in women. To bridge this gap, we tested whether the synchronization of avatar-participant respiration patterns influenced females' bodily awareness. We collected cardiac and respiratory interoceptive measures, administered body (dis)satisfaction questionnaires, and tracked participants' menstrual cycles via a mobile app. Our approach allowed us to characterize the 'Embreathment' illusion in women, and explore the relationships between menstrual cycle, interoception and body image. We found that breathing was as crucial as visual appearance in eliciting feelings of ownership and held greater significance than any other cue with respect to body agency in both women and men. Moreover, a positive correlation between menstrual cycle days and body image concerns, and a negative correlation between interoceptive sensibility and body dissatisfaction were found, confirming that women's body dissatisfaction arises during the last days of menstrual cycle and is associated with interoception. These findings have potential implications for corporeal awareness alterations in clinical conditions like eating disorders and schizophrenia.


Assuntos
Conscientização , Imagem Corporal , Ilusões , Interocepção , Realidade Virtual , Humanos , Feminino , Imagem Corporal/psicologia , Adulto , Ilusões/fisiologia , Adulto Jovem , Interocepção/fisiologia , Masculino , Ciclo Menstrual/fisiologia , Ciclo Menstrual/psicologia , Inquéritos e Questionários , Respiração , Insatisfação Corporal/psicologia
16.
Am J Occup Ther ; 78(3)2024 May 01.
Artigo em Inglês | MEDLINE | ID: mdl-38634671

RESUMO

IMPORTANCE: A sense of agency is associated with complex occupation-related responsibilities. A taxonomy can guide clinicians in enhancing responsibility in patients with Parkinson's disease (PwPD). OBJECTIVE: To (1) discover levels of responsibility in occupations for PwPD and (2) propose a taxonomy for occupations. DESIGN: A two-round Delphi study with PwPD and a one-round Delphi study with international experts. SETTING: Electronic survey. PARTICIPANTS: PwPD (N = 75) and international experts (N = 8). OUTCOMES AND MEASURES: PwPD expressed their levels of an inherent sense of responsibility for each occupation (1 = very low responsibility, 5 = very high responsibility). International experts rated their level of agreement (5 = strongly agree, 1 = strongly disagree) with each dimension of the taxonomy. A consensus was determined to have been reached if the interquartile range was ≤1 and 70% agreement in two adjacent categories was achieved. RESULTS: Thirty-three occupation categories were deemed as having very high to moderate responsibility for PwPD. Consequences of actions and the presence of others made up the two-dimensional responsibility taxonomy. Occupations have more challenging responsibility characteristics when they are performed with free choice, a level of high physical effort, alone, and with moral consequences. CONCLUSIONS AND RELEVANCE: This study yielded the first consensus among PwPD regarding responsibility in occupations as well as a classification system for charting the complexity of responsibility in occupations. The occupation list we have created can be beneficial to health care professionals when providing interventions or conducting outcome assessments. Plain-Language Summary: When planning interventions for patients with Parkinson's disease, it can be helpful for clinicians to be aware of patients' perspectives regarding their sense of responsibility to perform occupations. The use of a systematic sequence of challenging occupations with responsibility attributes ranging from less complex to more complex can help enhance patient occupational participation.


Assuntos
Doença de Parkinson , Humanos , Doença de Parkinson/complicações , Avaliação de Resultados em Cuidados de Saúde , Pessoal de Saúde , Conscientização , Comportamento Social , Técnica Delfos
18.
PLoS One ; 19(3): e0299270, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38437196

RESUMO

The allocation of renewable energy plants, especially wind turbines, is stagnating in Germany. Although the citizens approve of the energy transition, they resist concrete local projects. In recent years, research has shown that interactive map applications support participatory planning through motivation, social interaction, and knowledge transfer. We aim to reduce biases against renewable energy (RE) and support informed decision making while accepting local responsibility. We hypothesized that finding a new gamified participation format, based on behavioral mechanisms, would strengthen the empowerment of people. To this end, we designed a dialogue tool and participation format, 'Vision:En 2040', which combines: (i) a precise target electricity yield, (ii) an interactive map showing results of people's actions, information about environmental impacts, and (iii) game rules which foster cooperation. In facilitated workshops, participants simulate the allocation of wind and photovoltaic power plants in their municipality to achieve a target electricity yield. The developed tool is based on methods of environmental planning and geoinformatics. 'Vision:En 2040' was systematically tested with a technical test and a pre-test. In addition, its impact on participants was assessed through surveys and qualitative content analysis. The evaluation results show that the tool can influence the acceptance of the energy transition in terms of attitude. Through 'Vision:En 2040', participants became aware of the community's responsibility in the energy transition and expanded their knowledge. In addition, decision makers used the workshop results to plan RE sites. Our results indicate that 'Vision:En 2040' is helpful for informal citizen participation in accelerating the energy transition.


Assuntos
Conscientização , Pesquisa Comportamental , Humanos , Fenômenos Físicos , Eletricidade , Alemanha
19.
Nat Commun ; 15(1): 1981, 2024 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-38438391

RESUMO

Within a cell, synthetic and native genes compete for expression machinery, influencing cellular process dynamics through resource couplings. Models that simplify competitive resource binding kinetics can guide the design of strategies for countering these couplings. However, in bacteria resource availability and cell growth rate are interlinked, which complicates resource-aware biocircuit design. Capturing this interdependence requires coarse-grained bacterial cell models that balance accurate representation of metabolic regulation against simplicity and interpretability. We propose a coarse-grained E. coli cell model that combines the ease of simplified resource coupling analysis with appreciation of bacterial growth regulation mechanisms and the processes relevant for biocircuit design. Reliably capturing known growth phenomena, it provides a unifying explanation to disparate empirical relations between growth and synthetic gene expression. Considering a biomolecular controller that makes cell-wide ribosome availability robust to perturbations, we showcase our model's usefulness in numerically prototyping biocircuits and deriving analytical relations for design guidance.


Assuntos
Escherichia coli , Genes Sintéticos , Escherichia coli/genética , Conscientização , Ligação Competitiva , Ciclo Celular
20.
BMC Ophthalmol ; 24(1): 98, 2024 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-38438876

RESUMO

Image segmentation is a fundamental task in deep learning, which is able to analyse the essence of the images for further development. However, for the supervised learning segmentation method, collecting pixel-level labels is very time-consuming and labour-intensive. In the medical image processing area for optic disc and cup segmentation, we consider there are two challenging problems that remain unsolved. One is how to design an efficient network to capture the global field of the medical image and execute fast in real applications. The other is how to train the deep segmentation network using a few training data due to some medical privacy issues. In this paper, to conquer such issues, we first design a novel attention-aware segmentation model equipped with the multi-scale attention module in the pyramid structure-like encoder-decoder network, which can efficiently learn the global semantics and the long-range dependencies of the input images. Furthermore, we also inject the prior knowledge that the optic cup lies inside the optic disc by a novel loss function. Then, we propose a self-supervised contrastive learning method for optic disc and cup segmentation. The unsupervised feature representation is learned by matching an encoded query to a dictionary of encoded keys using a contrastive technique. Finetuning the pre-trained model using the proposed loss function can help achieve good performance for the task. To validate the effectiveness of the proposed method, extensive systemic evaluations on different public challenging optic disc and cup benchmarks, including DRISHTI-GS and REFUGE datasets demonstrate the superiority of the proposed method, which can achieve new state-of-the-art performance approaching 0.9801 and 0.9087 F1 score respectively while gaining 0.9657 D C disc and 0.8976 D C cup . The code will be made publicly available.


Assuntos
Disco Óptico , Humanos , Disco Óptico/diagnóstico por imagem , Conscientização , Benchmarking , Processamento de Imagem Assistida por Computador , Atenção
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