Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 20 de 87.283
Filtrar
1.
J Med Internet Res ; 26: e49422, 2024 Jul 10.
Artigo em Inglês | MEDLINE | ID: mdl-38986127

RESUMO

BACKGROUND: Retrospecting the trust gaps and their dynamics during the pandemic is crucial for understanding the root causes of postpandemic challenges and offers valuable insights into preparing for future public health emergencies. The COVID-19 pandemic eroded people's trust in strangers and acquaintances, while their trust in family members remained relatively stable. This resulted in 2 trust gaps, namely, the family members-strangers trust gap and the family members-acquaintances trust gap. Widening trust gaps impede social integration and undermine the effective management of public health crises. However, little is known about how digital media use shaped trust gaps during a pandemic. OBJECTIVE: This study aims to investigate the relationships between digital media use, negative emotions, the family members-strangers trust gap, and the family members-acquaintances trust gap during the COVID-19 pandemic in China. We test the mediating role of negative emotions between digital media use and 2 trust gaps and compare the indirect effect of digital media use on 2 trust gaps through negative emotions. METHODS: A cross-sectional web-based survey was conducted in China between January 31, 2020, and February 9, 2020. A total of 1568 adults participated in the survey. Questions related to digital media use, negative emotions, trust in family members, trust in acquaintances, and trust in strangers during the pandemic were asked. Regression analyses were performed to test the associations between the examined variables. We used a 95% bootstrap CI approach to estimate the mediation effects. RESULTS: Digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), which in turn were positively associated with the family members-strangers trust gap (B=0.15, SE 0.03; P<.001). Likewise, digital media use was positively associated with negative emotions (B=0.17, SE 0.03; P<.001), while negative emotions were positively associated with the family members-acquaintances trust gap (B=0.08, SE 0.03; P=.01). Moreover, the indirect effect of digital media use on the family members-strangers trust gap (B=0.03, SE 0.01; 95% CI 0.01-0.04) was stronger than that on the family members-acquaintances trust gap (B=0.01, SE 0.01; 95% CI 0.003-0.027). CONCLUSIONS: The results demonstrate that negative emotions resulting from the frequent use of digital media are a key factor that accounts for the widening trust gaps. Considering the increasing reliance on digital media, the findings indicate that the appropriate use of digital media can prevent the overamplification of negative emotions and curb the enlargement of trust gaps. This may help restore social trust and prepare for future public health crises in the postpandemic era.


Assuntos
COVID-19 , Emoções , Pandemias , Confiança , Humanos , COVID-19/psicologia , COVID-19/epidemiologia , Confiança/psicologia , Estudos Transversais , China/epidemiologia , Adulto , Masculino , Feminino , Família/psicologia , Inquéritos e Questionários , Pessoa de Meia-Idade , Mídias Sociais/estatística & dados numéricos , Adulto Jovem , SARS-CoV-2 , Internet
2.
Methods Mol Biol ; 2836: 97-109, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38995538

RESUMO

Glycosylation is the most abundant and diverse post-translational modification occurring on proteins. Glycans play important roles in modulating cell adhesion, growth, development, and differentiation. Changes in glycosylation affect protein structure and function and contribute to disease processes. Therefore, understanding glycosylation patterns is key for the identification of targets for the diagnosis of diseases, cellular states, and therapy. Glycosylation is a non template-driven process governed by the action of numerous enzymes and substrate availability that varies among cell types and species. Therefore, qualitative and quantitative assessment of global glycosylation and individual glycans remains challenging because it requires integration of multiple complex data types. Glycan structure and quantity data are often integrated with assessments of gene expression to aid contextualization of observed glycosylation changes within biological processes. However, correlating glycogene expression to the glycan structure is challenging because transcriptional changes may not always concur with the final gene product; there is often a lack of information on nucleotide sugar pools, and the final glycan structure is the result of many different glycogenes acting in concert. To overcome these challenges, interactive online tools are emerging as key resources for facilitating the analysis and integration of glycomics and glycogene expression data. Importantly, these tools work in concurrence with glycan biosynthetic schemes and therefore provide a clear indication of the molecular pathways where the glycan and glycogene are involved. In this chapter, we describe the applications of four freely available online tools that can be used for integrated visualization, interpretation, and presentation of RNAseq and glycomics results.


Assuntos
Glicômica , Polissacarídeos , Software , Glicômica/métodos , Polissacarídeos/metabolismo , Polissacarídeos/análise , Glicosilação , Humanos , Processamento de Proteína Pós-Traducional , Biologia Computacional/métodos , Internet , Glicoproteínas/metabolismo , Glicoproteínas/genética
3.
Methods Mol Biol ; 2836: 253-281, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38995545

RESUMO

Interactomics is bringing a deluge of data regarding protein-protein interactions (PPIs) which are involved in various molecular processes in all types of cells. However, this information does not easily translate into direct and precise molecular interfaces. This limits our understanding of each interaction network and prevents their efficient modulation. A lot of the detected interactions involve recognition of short linear motifs (SLiMs) by a folded domain while others rely on domain-domain interactions. Functional SLiMs hide among a lot of spurious ones, making deeper analysis of interactomes tedious. Hence, actual contacts and direct interactions are difficult to identify.Consequently, there is a need for user-friendly bioinformatic tools, enabling rapid molecular and structural analysis of SLiM-based PPIs in a protein network. In this chapter, we describe the use of the new webserver SLiMAn to help digging into SLiM-based PPIs in an interactive fashion.


Assuntos
Biologia Computacional , Internet , Mapeamento de Interação de Proteínas , Software , Mapeamento de Interação de Proteínas/métodos , Biologia Computacional/métodos , Domínios e Motivos de Interação entre Proteínas , Proteínas/química , Proteínas/metabolismo , Mapas de Interação de Proteínas , Motivos de Aminoácidos , Humanos , Bases de Dados de Proteínas , Ligação Proteica
4.
Methods Mol Biol ; 2836: 331-367, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38995548

RESUMO

SignalP ( https://services.healthtech.dtu.dk/services/SignalP-6.0/ ) is a very popular prediction method for signal peptides, the intrinsic signals that make proteins secretory. The SignalP web server has existed since 1995 and is now in its sixth major version. In this historical account, we (three authors who have taken part in the entire journey plus the first author of the latest version) describe the differences between the versions and discuss the various decisions taken along the way.


Assuntos
Internet , Sinais Direcionadores de Proteínas , Software , Biologia Computacional/métodos , Humanos
7.
Neurosurg Focus ; 57(1): E6, 2024 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-38950429

RESUMO

OBJECTIVE: Concussions are self-limited forms of mild traumatic brain injury (TBI). Gradual return to play (RTP) is crucial to minimizing the risk of second impact syndrome. Online patient educational materials (OPEM) are often used to guide decision-making. Previous literature has reported that grade-level readability of OPEM is higher than recommended by the American Medical Association and the National Institutes of Health. The authors evaluated the readability of OPEM on concussion and RTP. METHODS: An online search engine was used to identify websites providing OPEM on concussion and RTP. Text specific to concussion and RTP was extracted from each website and readability was assessed using the following six standardized indices: Flesch Reading Ease (FRE), Flesch-Kincaid Grade Level, Gunning Fog Index, Coleman-Liau Index, Simple Measure of Gobbledygook Index, and Automated Readability Index. One-way ANOVA and Tukey's post hoc test were used to compare readability across sources of information. RESULTS: There were 59 concussion and RTP articles, and readability levels exceeded the recommended 6th grade level, irrespective of the source of information. Academic institutions published OPEM at simpler readability levels (higher FRE scores). Private organizations published OPEM at more complex (higher) grade-level readability levels in comparison with academic and nonprofit institutions (p < 0.05). CONCLUSIONS: The readability of OPEM on RTP after concussions exceeds the literacy of the average American. There is a critical need to modify the concussion and RTP OPEM to improve comprehension by a broad audience.


Assuntos
Concussão Encefálica , Compreensão , Educação de Pacientes como Assunto , Concussão Encefálica/prevenção & controle , Humanos , Educação de Pacientes como Assunto/métodos , Educação de Pacientes como Assunto/normas , Internet , Volta ao Esporte , Leitura
8.
Musculoskeletal Care ; 22(3): e1916, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-38988196

RESUMO

OBJECTIVE: The Internet has transformed how patients access health information. We examined Google search engine data to understand which aspects of health are most often searched for in combination with inflammatory arthritis (IA). METHODS: Using Google Trends data (2011-2022) we determined the relative popularity of searches for 'patient symptoms' (pain, fatigue, stiffness, mood, work) and 'treat-to-target' (disease-modifying drugs, steroids, swelling, inflammation) health domains made with rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (AxSpA) in the UK/USA. Google Trends normalises searches by popularity over time and region, generating 0-100 scale relative search volumes (RSV; 100 represents the time-point with most searches). Up to five search term combinations can be compared. RESULTS: In all IA forms, pain was the most popular patient symptom domain. UK/USA searches for pain gave mean RSVs of 58/79, 34/51, and 39/63 with RA, PsA, and AxSpA; mean UK/USA RSVs for other patient symptom domains ranged 2-7/2-8. Methotrexate was the most popular treat-to-target search term with RA/PsA in the UK (mean 28/21) and USA (mean 63/33). For AxSpA, inflammation was most popular (mean UK/USA 9/34). Searches for pain were substantially more popular than searches for methotrexate in RA and PsA, and inflammation in AxSpA. Searches increased over time. CONCLUSIONS: Pain is the most popular search term used with IA in Google searches in the UK/USA, supporting surveys/qualitative studies highlighting the importance of improving pain to patients with IA. Routine pain assessments should be embedded within treat-to-target strategies to ensure patient perspectives are considered.


Assuntos
Artrite Reumatoide , Internet , Ferramenta de Busca , Humanos , Ferramenta de Busca/estatística & dados numéricos , Reino Unido , Artrite Reumatoide/tratamento farmacológico , Artrite Psoriásica/tratamento farmacológico , Estados Unidos , Comportamento de Busca de Informação
9.
PLoS One ; 19(7): e0304901, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38976674

RESUMO

In recent years, cultural tourism has increasingly embraced museum visits. Museums serve as both cultural heritage guardians and integral parts of tourist destinations, significantly impacting visitor satisfaction and experience. Moreover, online museum reviews have become a crucial indicator of museum service quality, visitor experience, and public feedback in the digital age. An analysis of online reviews on major tourism websites and social media platforms can assist museums in developing appropriate management strategies. This study employed the structural topic model (STM) to analyze online museum reviews, identifying three primary attributes of museums and visitors' personal experiences, as well as 19 sub-attributes. The study confirmed that core offerings have a positive impact on visitor experience and satisfaction, while peripheral services and overall ambiance are also positively related to visitor experience and satisfaction. Furthermore, the results of structural equation modeling demonstrated that visitors' personal experiences have a positive impact on satisfaction. The results of structural equation modeling analysis support all seven hypothesized relationships. These findings will assist museum managers in developing effective management strategies and future plans.


Assuntos
Museus , Humanos , Turismo , Mídias Sociais , Internet , Modelos Teóricos , Satisfação Pessoal , Comportamento do Consumidor
10.
PLoS One ; 19(7): e0302413, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38976703

RESUMO

During the COVID-19 pandemic, pneumonia was the leading cause of respiratory failure and death. In addition to SARS-COV-2, it can be caused by several other bacterial and viral agents. Even today, variants of SARS-COV-2 are endemic and COVID-19 cases are common in many places. The symptoms of COVID-19 are highly diverse and robust, ranging from invisible to severe respiratory failure. Current detection methods for the disease are time-consuming and expensive with low accuracy and precision. To address such situations, we have designed a framework for COVID-19 and Pneumonia detection using multiple deep learning algorithms further accompanied by a deployment scheme. In this study, we have utilized four prominent deep learning models, which are VGG-19, ResNet-50, Inception V3 and Xception, on two separate datasets of CT scan and X-ray images (COVID/Non-COVID) to identify the best models for the detection of COVID-19. We achieved accuracies ranging from 86% to 99% depending on the model and dataset. To further validate our findings, we have applied the four distinct models on two more supplementary datasets of X-ray images of bacterial pneumonia and viral pneumonia. Additionally, we have implemented a flask app to visualize the outcome of our framework to show the identified COVID and Non-COVID images. The findings of this study will be helpful to develop an AI-driven automated tool for the cost effective and faster detection and better management of COVID-19 patients.


Assuntos
COVID-19 , Aprendizado Profundo , SARS-CoV-2 , Tomografia Computadorizada por Raios X , COVID-19/diagnóstico por imagem , Humanos , Tomografia Computadorizada por Raios X/métodos , SARS-CoV-2/isolamento & purificação , Pneumonia Viral/diagnóstico por imagem , Pandemias , Algoritmos , Pneumonia/diagnóstico por imagem , Pneumonia/diagnóstico , Infecções por Coronavirus/diagnóstico por imagem , Infecções por Coronavirus/diagnóstico , Internet , Betacoronavirus
11.
Brief Bioinform ; 25(4)2024 May 23.
Artigo em Inglês | MEDLINE | ID: mdl-38980370

RESUMO

RepurposeDrugs (https://repurposedrugs.org/) is a comprehensive web-portal that combines a unique drug indication database with a machine learning (ML) predictor to discover new drug-indication associations for approved as well as investigational mono and combination therapies. The platform provides detailed information on treatment status, disease indications and clinical trials across 25 indication categories, including neoplasms and cardiovascular conditions. The current version comprises 4314 compounds (approved, terminated or investigational) and 161 drug combinations linked to 1756 indications/conditions, totaling 28 148 drug-disease pairs. By leveraging data on both approved and failed indications, RepurposeDrugs provides ML-based predictions for the approval potential of new drug-disease indications, both for mono- and combinatorial therapies, demonstrating high predictive accuracy in cross-validation. The validity of the ML predictor is validated through a number of real-world case studies, demonstrating its predictive power to accurately identify repurposing candidates with a high likelihood of future approval. To our knowledge, RepurposeDrugs web-portal is the first integrative database and ML-based predictor for interactive exploration and prediction of both single-drug and combination approval likelihood across indications. Given its broad coverage of indication areas and therapeutic options, we expect it accelerates many future drug repurposing projects.


Assuntos
Reposicionamento de Medicamentos , Aprendizado de Máquina , Reposicionamento de Medicamentos/métodos , Humanos , Internet , Quimioterapia Combinada , Bases de Dados de Produtos Farmacêuticos , Bases de Dados Factuais
12.
Health Promot Int ; 39(4)2024 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-38980690

RESUMO

Accessible, up-to-date information on traumatic brain injury (TBI) can be challenging to find and is needed to address TBI knowledge gaps and improve outcomes for people who experience a TBI. The Understanding TBI Massive Open Online Course (TBI MOOC) was developed to increase TBI knowledge across a diverse global audience. We sought to characterize the TBI MOOC participant cohort, to understand the reach of the course among this target audience. Examining the characteristics of TBI MOOC enrollees showed that participants came from a wide range of demographic backgrounds, had a variety of TBI experiences and had multiple reasons for enrolling in the MOOC. The majority of course participants shared some characteristics with other groups of health information seekers. Four distinct demographic profiles were identified among TBI MOOC participants (education seekers, TBI-aware participants, TBI care providers and retirees) using a novel approach combining chi-squared tests and network modularity. Participants assigned to the TBI-aware and retiree profiles were most likely to complete all modules of the MOOC, and the TBI-aware profile was more highly represented in more recent iterations of the MOOC. Together, these data indicate that the TBI MOOC provided information to a wide range of people, and particularly engaged participants with personal or family experience of TBI. However, engagement with this course was minimal among some hard-to-reach populations, including men and people with low levels of education, indicating that additional strategies are needed to ensure equity in health promotion.


Assuntos
Lesões Encefálicas Traumáticas , Humanos , Lesões Encefálicas Traumáticas/psicologia , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Internet , Comportamento de Busca de Informação , Conhecimentos, Atitudes e Prática em Saúde , Idoso
13.
PLoS One ; 19(7): e0306393, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-38980834

RESUMO

Amid the increasing global internet penetration, understanding the impact of internet use on residents' health is crucial. This aids in formulating more effective health policies and provides empirical evidence for promoting health equity and improving overall public health. Drawing on the China Health and Retirement Longitudinal Study (CHARLS), this paper employs the Propensity Score Matching-Difference in Differences (PSM-DID) method to examine the impact of the internet on individual health and further explores the pathways through which the internet affects health. We introduce the research background and significance in the introduction. Then, in the theoretical analysis, it incorporates internet variables into the Becker health demand model to analyze changes in health demand and impact pathways. The empirical analysis tests the theoretical findings, leading to empirical results. Finally, the study discusses the results and provides relevant recommendations. The findings indicate significant positive effects of the internet on both physical and psychological health. These effects are realized through reducing health information asymmetry, lowering health costs, and increasing exposure to health-promoting environments. In the heterogeneity analysis, economic-related internet content shows a significant positive impact on resident health. Intensive internet use adversely affects psychological health. The beneficial effects of the internet on health are more pronounced among older individuals, those covered by medical insurance, and regions with higher levels of digital economy. Based on these findings, the study offers policy recommendations concerning individuals' internet use patterns, the digital evolution of the healthcare industry, and government infrastructure development.


Assuntos
Uso da Internet , Humanos , China , Masculino , Uso da Internet/estatística & dados numéricos , Feminino , Pessoa de Meia-Idade , Estudos Longitudinais , Idoso , Internet , Pontuação de Propensão , Nível de Saúde
14.
Pol Merkur Lekarski ; 52(3): 319-325, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39007470

RESUMO

OBJECTIVE: Aim: The aim is to study the motivation of students towards Internet dependent behavior and develop practical recommendations for improving a set of measures for its prevention. PATIENTS AND METHODS: Materials and Methods: The research involved 154 students of the National Academy of Internal Affairs. Research methods: analysis and generalization of literature sources, questionnaire, statistical methods. RESULTS: Results: The priority motives of students who manifest Internet dependence behavior were identif i ed. The motivational orientations of students determine their systematic stay in the virtual environment and include, first of all, compliance with modern world trends; accessibility of content; the need for recognition of personal results by other users; satisfaction with virtual communication with the social environment. CONCLUSION: Conclusions: The practical recommendations for improving a set of measures to counteract the spread of Internet dependence among students were developed. Overcoming Internet dependence involves influencing a person to change his or her motivational and value as well as communication spheres. Prevention of Internet dependence involves public health professionals conducting awareness-raising as well as psychological and correctional work with the most vulnerable categories of people.


Assuntos
Motivação , Estudantes , Humanos , Feminino , Masculino , Estudantes/psicologia , Inquéritos e Questionários , Adulto , Adulto Jovem , Transtorno de Adição à Internet/psicologia , Internet
15.
PLoS One ; 19(7): e0303524, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39008466

RESUMO

Space security has emerged as a concern for the European Union (EU), given that space systems have become integral to ensuring the safety of all European society. This strategy reflects the interaction of geopolitical dynamics and the rising specter of hybrid threats. However, grappling with hybrid threats targeting the EU space presents distinct challenges, primarily owing to their elusive nature. Hence, our objective is to develop practical methodologies to identify and mitigate such threats effectively. To meet this objective, we propose an innovative 8-step process. This approach streamlines the systematic identification and analysis of discourses of hybrid threats within online platforms dedicated to EU space discussions. Our methodology underwent rigorous scrutiny, including a comprehensive literature review that prioritized peer-reviewed manuscripts from sources such as Web of Science and Elsevier Scopus. Additionally, we selected documents from Google Scholar to ensure comprehensive coverage of diverse scholarly contributions, enriching the depth of our analysis. Our research yielded a conceptual framework for Online Discourse Analysis (ODA) tailored to evaluate hybrid threats targeting EU space defense and security. The results highlight the importance of leveraging advanced ODA techniques to deepen our understanding of emerging threats. In conclusion, we advocate for the adoption of these innovative methods to enhance the robustness of EU space defense strategies in the face of evolving security scenarios. The establishment of the 8-step ODA framework marks a pivotal milestone, offering a structured approach to deciphering hybrid threats. Looking ahead, we aim to empirically validate this framework by creating and deploying custom-tailored software designed to identify potential hybrid threats jeopardizing the security of European space assets. Through continued research and practical implementation, we endeavor to fortify the EU's defenses against emerging threats in the space domain.


Assuntos
União Europeia , Medidas de Segurança , Humanos , Internet
16.
PLoS One ; 19(7): e0304740, 2024.
Artigo em Inglês | MEDLINE | ID: mdl-39008480

RESUMO

Dietary studies are essential to better understand raptor ecology and resource requirements through time and space, informing species habitat use, interspecific interactions and demographic rates. Methods used to collect data on raptor diets can constrain how dietary analyses can be interpreted. Traditional approaches to study raptor diets, such as analysis of pellets or prey remains, often provide dietary data at the local population level and tend to be restricted to pairs during the breeding season. The increasing use of citizen science data has the potential to provide dietary inferences at larger spatial, demographic and temporal scales. Using web-sourced photography, we explore continental-scale demographic and latitudinal dietary patterns between adult and non-adult Crested Caracaras (Caracara plancus), throughout the species' range across the Americas. We analysed 1,555 photographs of caracaras feeding and found no age effects on the probabilities of different food groups being included in photographs. The probability of reptiles being included in photographs of caracaras from the northern population was significantly higher than those from the southern population, with the opposite pattern for birds. There were significant latitudinal effects with the probabilities of fishes and invertebrates in the diet of northern caracaras increasing towards the equator. Contrastingly, the probability of mammals in the diet increased away from the equator for both populations. Assuming the focal species is well-sampled, web-sourced photography can improve our understanding of raptor diets at large-scales and complements more traditional approaches. This approach is more accessible to raptor researchers without access to the field or expertise in physical prey identification techniques.


Assuntos
Dieta , Fotografação , Aves Predatórias , Animais , Comportamento Alimentar , Internet , Ecossistema , Padrões Dietéticos
17.
CBE Life Sci Educ ; 23(3): ar34, 2024 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-39008712

RESUMO

Discussions play a significant role in facilitating student learning through engagement with course material and promotion of critical thinking. Discussions provide space for social learning where ideas are deliberated, internalized, and knowledge is cocreated through socioemotional interactions. With the increase of internet-based and hybrid courses, there is a need to evaluate the degree to which online discussion modalities facilitate quality discussions and enhance student achievement. We assessed the effectiveness of asynchronous online discussion boards and traditional face-to-face discussions via qualitative (thematic coding and discussion network analysis) and quantitative (Bloom's taxonomy) techniques and evaluated student perceptions via precourse and postcourse surveys. We found differential strengths of the two formats. Online discussions increased response complexity, while in-person discussions fostered improved connections with course material. Themes related to sharing of personal identity, humanity and verbal immediacy were more frequent throughout in-person discussions. Survey responses suggested that a sense of community was an external motivator for preference of in-person discussions, while anxiety was a factor influencing online discussion preference. Our findings suggest that online and in-person discussions are complementary, and work in tandem to facilitate complex student thinking through online environments and social learning within the classroom.


Assuntos
Internet , Aprendizagem , Estudantes , Humanos , Inquéritos e Questionários , Feminino , Masculino , Currículo
18.
Sci Eng Ethics ; 30(4): 28, 2024 Jul 16.
Artigo em Inglês | MEDLINE | ID: mdl-39012561

RESUMO

The rapidly advancing field of brain-computer (BCI) and brain-to-brain interfaces (BBI) is stimulating interest across various sectors including medicine, entertainment, research, and military. The developers of large-scale brain-computer networks, sometimes dubbed 'Mindplexes' or 'Cloudminds', aim to enhance cognitive functions by distributing them across expansive networks. A key technical challenge is the efficient transmission and storage of information. One proposed solution is employing blockchain technology over Web 3.0 to create decentralised cognitive entities. This paper explores the potential of a decentralised web for coordinating large brain-computer constellations, and its associated benefits, focusing in particular on the conceptual and ethical challenges this innovation may pose pertaining to (1) Identity, (2) Sovereignty (encompassing Autonomy, Authenticity, and Ownership), (3) Responsibility and Accountability, and (4) Privacy, Safety, and Security. We suggest that while a decentralised web can address some concerns and mitigate certain risks, underlying ethical issues persist. Fundamental questions about entity definition within these networks, the distinctions between individuals and collectives, and responsibility distribution within and between networks, demand further exploration.


Assuntos
Interfaces Cérebro-Computador , Internet , Autonomia Pessoal , Privacidade , Humanos , Interfaces Cérebro-Computador/ética , Responsabilidade Social , Blockchain/ética , Segurança Computacional/ética , Propriedade/ética , Política , Cognição , Segurança , Tecnologia/ética
19.
Gigascience ; 132024 Jan 02.
Artigo em Inglês | MEDLINE | ID: mdl-38991851

RESUMO

BACKGROUND: As biological data increase, we need additional infrastructure to share them and promote interoperability. While major effort has been put into sharing data, relatively less emphasis is placed on sharing metadata. Yet, sharing metadata is also important and in some ways has a wider scope than sharing data themselves. RESULTS: Here, we present PEPhub, an approach to improve sharing and interoperability of biological metadata. PEPhub provides an API, natural-language search, and user-friendly web-based sharing and editing of sample metadata tables. We used PEPhub to process more than 100,000 published biological research projects and index them with fast semantic natural-language search. PEPhub thus provides a fast and user-friendly way to finding existing biological research data or to share new data. AVAILABILITY: https://pephub.databio.org.


Assuntos
Bases de Dados Factuais , Disseminação de Informação , Internet , Metadados , Software , Interface Usuário-Computador , Disseminação de Informação/métodos , Biologia Computacional/métodos
20.
Sci Rep ; 14(1): 16162, 2024 Jul 13.
Artigo em Inglês | MEDLINE | ID: mdl-39003348

RESUMO

The Web has become an essential resource but is not yet accessible to everyone. Assistive technologies and innovative, intelligent frameworks, for example, those using conversational AI, help overcome some exclusions. However, some users still experience barriers. This paper shows how a human-centered approach can shed light on technology limitations and gaps. It reports on a three-step process (focus group, co-design, and preliminary validation) that we adopted to investigate how people with speech impairments, e.g., dysarthria, browse the Web and how barriers can be reduced. The methodology helped us identify challenges and create new solutions, i.e., patterns for Web browsing, by combining voice-based conversational AI, customized for impaired speech, with techniques for the visual augmentation of web pages. While current trends in AI research focus on more and more powerful large models, participants remarked how current conversational systems do not meet their needs, and how it is important to consider each one's specificity for a technology to be called inclusive.


Assuntos
Inteligência Artificial , Internet , Voz , Humanos , Voz/fisiologia , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Comunicação , Grupos Focais
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...