Public Data Research Articles

Challenges of Collaborative Government Response to the COVID-19 Pandemic: A Study of Factors and Cases in the United States

This study examines challenges of collaborative government response to the COVID-19 pandemic in the United States. The study provides a review of theoretical issues about collaboration in disaster management and public health to identify influential factors, such as governance structure, effective leadership, public communication, and political polarization, to the collaboration. Based on the document analysis method, the study examines practical cases, academic studies and public opinion data that are related to these challenging factors. The study concludes with discussions about lessons of the COVID pandemic challenge and suggestions for future studies of collaborative governance response to public crises.

Segmentation of multi-view video speed extraction method that can cross lane dividing lines

Aiming at the problem that the existing video traffic parameter extraction methods are overly dependent on manual annotation and a single perspective cannot effectively correct the dynamic driving deviation of vehicles on site, a multi-perspective video traffic parameter extraction method that can segment and cross lane dividing lines is proposed. The method consists of an automatic annotation point generation module and a multi-perspective correction module. The automatic annotation point generation module realizes the process of automatically generating annotation points by constructing a reference block based on equal-length lane dividing lines. The multi-perspective correction module proposes multiple mapping methods between vehicles and lane dividing lines and a correction speed measurement method based on the average speed probability density function to correct the two types of deviations generated by vehicles during dynamic driving. Experimental results on public data sets and measured data sets show that the vehicle speed extraction accuracy of the proposed method is better than other speed measurement methods, and it has a certain degree of universality.

Attention Induced Dual Convolutional-Capsule Network (AIDC-CN): A deep learning framework for motor imagery classification

In recent times, Electroencephalography (EEG)-based motor imagery (MI) decoding has garnered significant attention due to its extensive applicability in healthcare, including areas such as assistive robotics and rehabilitation engineering. Nevertheless, the decoding of EEG signals presents considerable challenges owing to their inherent complexity, non-stationary characteristics, and low signal-to-noise ratio. Notably, deep learning-based classifiers have emerged as a prominent focus for addressing the EEG signal decoding process. This study introduces a novel deep learning classifier named the Attention Induced Dual Convolutional-Capsule Network (AIDC-CN) with the specific aim of accurately categorizing various motor imagination class labels. To enhance the classifier’s performance, a dual feature extraction approach leveraging spectrogram and brain connectivity networks has been employed, diversifying the feature set in the classification task. The main highlights of the proposed AIDC-CN classifier includes the introduction of a dual convolution layer to handle the brain connectivity and spectrogram features, addition of a novel self-attention module (SAM) to accentuate the relevant parts of the convolved spectrogram features, introduction of a new cross-attention module (CAM) to refine the outputs obtained from the dual convolution layers and incorporation of a Gaussian Error Linear Unit (GELU) based dynamic routing algorithm to strengthen the coupling among the primary and secondary capsule layers. Performance analysis undertaken on four public data sets depict the superior performance of the proposed model with respect to the state-of-the-art techniques. The code for this model is available at https://github.com/RiteshSurChowdhury/AIDC-CN.

No Surprises Act independent dispute resolution outcomes for emergency services.

The No Surprises Act banned surprise billing and established a final-offer arbitration system, independent dispute resolution (IDR), to resolve disagreements between health plans and providers. One factor that arbiters must consider in the IDR process is the qualifying payment amount (QPA), the median contracted rate for the same or similar service in the same market as computed by health plans. We analyzed public IDR data from 2023 for the most common disputed professional service: evaluation and management of a moderate to severe emergency medicine visit. Providers won 86% of cases, with mean decisions 2.7 times the QPA. Private equity-backed providers won more often and higher monetary awards than other providers. The mean QPA was 2.4 times Medicare payments. Disputes were dominated by a small group of health plans and providers, so payments may not reflect the overall market for emergency services.

Social epidemiology of urban COVID-19 inequalities in Latin America and Canada

BackgroundThe COVID-19 pandemic has spread through pre-existing fault lines in societies, deepening structural barriers faced by precarious workers, low-income populations, and racialized communities in lower income sub-city units. Many studies have quantified the magnitude of inequalities in COVID-19 distribution within cities, but few have taken an international comparative approach to draw inferences on the ways urban epidemics are shaped by social determinants of health.MethodsGuided by critical epidemiology, this study quantifies sub-city unit-level COVID-19 inequalities across eight of the largest metropolitan areas of Latin America and Canada. Leveraging new open-data sources, we use concentration indices to quantify income- and vulnerability-related inequalities in incidence, test positivity, and deaths over the first 125 weeks of the pandemic between January 2020 and May 2022.ResultsOur findings demonstrate that incidence, deaths, and test positivity are all less concentrated in low-income sub-city units than would be expected, with incidence ranging concentration in lower income neighbourhoods in Toronto (CI = -0.07) to concentration in higher income neighbourhoods in Mexico City (CI = 0.33). Drawing on relevant studies and evaluations of data reliability, we conclude that the best available public surveillance data for the largest cities in Latin America are likely not reliable measures of the true COVID-19 disease burden. We also identify recurring trends in the evolution of inequalities across most cities, concluding that higher income sub-city units were frequent early epicentres of COVID-19 transmission across the Latin America and Canada.ConclusionsJust as critical epidemiology points to individuals biologically embodying the material and social conditions in which we live, it may be just as useful to think of cities reifying their material and social inequities in the form of sub-city unit-level infectious disease inequities. By shifting away from a typical vulnerability-based social determinants of health frame, policymakers could act to redress and reduce externalities stemming from sub-city unit-level income inequality through redistributive and equity-promoting policies to shift the centre of gravity of urban health inequalities before the next infectious disease epidemic occurs.

The costs of open access publication

This article explores the financial dynamics of open access (OA) publication in Catalan universities by combining four data sources: publication data coupled with article processing charge (APC) estimates; information on journal subscriptions, transformative agreements and APC payments made by universities; acknowledgements of APC funding sources in OA scholarly outputs; and a survey of authors. The findings reveal a consistent increase in OA publication across Catalan universities, with 60% of the articles indexed in the Web of Science being published in either gold or hybrid OA in 2022. In parallel, investment in the research publishing system shows an upward trend. Resources allocated to journal subscription licenses have been redirected towards transformative agreements, leading to a rise in hybrid OA publications. Additional budget allocations have been made to accommodate APCs for gold OA journals. Authors employ varied funding sources for gold and hybrid OA, with university funding programmes and research grants commonly facilitating gold OA, while transformative agreements often support hybrid OA. Authors associated with Catalan universities frequently benefit from funding schemes and transformative agreements that are accessible to their coauthors. However, survey responses underscore the multifaceted nature of researchers’ financial support, including personal assets and waivers. Authors express frustration with the evolving OA landscape, particularly concerning the exorbitant publication fees. Nevertheless, the allure of high-impact journals and expedited peer review processes continues to incentivize authors towards gold OA. Researchers voice concerns regarding the lack of equitable funding programmes and potential conflicts of interest within gold OA models, which signals the risk of compromising peer review integrity to prioritize profits. This study underscores the need for further research to deepen our understanding of scholarly publishing expenditure and inform strategies for fostering a sustainable, equitable OA ecosystem.

In Silico Insights Reveal Fibronectin 1 as a Theranostic Marker in Gastric Cancer.

Gastric cancer (GC) is a complex and highly variable disease, ranking among the top five cancers diagnosed globally, and a leading cause of cancer-related deaths. Emerging from stomach lining cells amid chronic inflammation, it often advances to preneoplastic stages. Late-stage diagnoses and treatment challenges highlight the critical need for early detection and innovative biomarkers, motivating this study's focus on identifying theranostic markers through gene ontology analysis. By exploring deregulated biological processes, this study aims to uncover insights into cancer progression and associated markers, potentially identifying novel theranostic candidates in GC. Using public data from The Human Protein Atlas, this study pinpointed 299 prognostic genes, delineating 171 with unfavorable prognosis and 128 with favorable prognosis. Functional enrichment and protein-protein interaction analyses, supported by RNAseq results and conducted via Metascape and Cytoscape, highlighted five genes (vWF, FN1, THBS1, PCDH7, and F5) with promising theranostic potential. Notably, FN1 and THBS1 exhibited significant promise, with FN1 showing a 370% expression increase in cancerous tissue, and it is possible that FN1 can also indicate the stratification status in GC. While further validation is essential, these findings provide new insights into molecular alterations in GC and potential avenues for clinical application of theranostic markers.

DNA Methylation in Aortic Aneurysms of Different Localization

Aortic aneurysm (AA) is a life-threatening condition, and aortic rupture that is the complication of AA in the absence of emergency surgery leads to death. Genetic (more often in thoracic AA – TAA) and environmental factors (in TAA and abdominal AA – AAA) contribute to the development of AA. This review summarizes the data of scientific publications devoted to the study of DNA methylation under the influence of AA risk factors, as well as in the cells of different parts of the aorta (thoracic, abdominal) in normal and pathological conditions. Changes in DNA methylation are observed in aortic and/or blood cells in the presence of AA risk factors (arterial hypertension, smoking, age, presence of comorbidities). Studies of DNA methylation in TAA and AAA are few and have been conducted using different approaches to sample formation, cell sample selection, and experimental methods. However, they provide convincing evidence of the altered DNA methylation status of genes selected for study using a candidate approach (in the AAA study), as well as of different genomic regions in genome-wide DNA methylation analysis (mainly in TAA studies). Genes localized in differentially methylated regions are associated with the functioning of the cardiovascular system and are involved in cellular and metabolic processes pathogenetically significant for the development of AA. In a number of cases, the association of DNA methylation levels with clinical parameters in AA has been established. These results indicate the prospect of expanding the studies of DNA methylation in AA, including the identification of new pathogenetically significant links in AA development.

An analytical framework for the study of geographical places in the scientific literature

Scientometrics has traditionally examined place in terms of author affiliations and, as such, has tended to overlook the more detailed use of geographical data in scholarly publications to design indicators of the scientific literature. This study constructs a comprehensive framework to formalize and unify the Scientometrics analysis of places (Spatial Framework to identify Bibliographic Relationships or SFBR), constituting three main stages: identification, description, and measurement. We present five descriptive dimensions and a set of 57 core metrics for scrutinizing the place-related features of science. These metrics encompass author-, publication-, and place-level parameters, categorized according to the specific section (zone) containing the geographical information (i.e., citing author affiliation, the body of the text, and cited author affiliation). The SFBR serves as an innovative tool for unraveling the significance and influence of place in scientific literature. By considering place a fundamental element in Scientometrics studies, it extends the boundaries of spatial bibliometrics and provides a more holistic understanding of place as research object.

Validation of a Simplified Laboratory-Based HCV Clearance Definition Using New York City Hepatitis C Program and Surveillance Data.

Laboratory-based hepatitis C virus (HCV) clearance cascades are an important tool for health departments to track progress toward HCV elimination, but a laboratory-based definition of HCV clearance has not yet been validated. To compare agreement between a laboratory-based HCV clearance definition with a clinical cure definition. Observational. New York City Department of Health and Mental Hygiene HCV surveillance system data and New York City hepatitis C linkage-to-care program data. Linkage-to-care program participants who were diagnosed with hepatitis C and enrolled in the linkage-to-care program from July 1, 2016, through June 30, 2020. Percent agreement between a laboratory-based HCV clearance definition (surveillance system) and a clinical cure definition (program data). Among 591 program participants with known treatment outcome, the laboratory-based HCV clearance definition and clinical cure definition were concordant in 573 cases (97%). A laboratory-based HCV clearance definition based on public health surveillance data can be a reliable source for monitoring HCV elimination.

The (mis)Information World of Moms for Liberty: A Digital Ethnographic Case Study

Moms for Liberty (M4L) is an American organization that has played an outsized role in the dramatic increase in book bans and challenges in school and public libraries. This group provides an opportunity to study the various ways that information and attention is driven bi-directionally between the public and private spheres. The aim of this digital ethnographic case study was to better understand how the norms and values that underlie the small world of M4L influence the larger lifeworld and social milieus of communities. If public policy is ideologically constructed, what does this mean for information practitioners whose institutions exist in small worlds? Jaeger and Burnett’s theory of information worlds and Engeström’s activity theory model were combined to form the lens of interpretation to analyze the normative behavior and information values of M4L and the impact of its object of motivation for creating information poverty in the lifeworld through censorship efforts via political activism and propaganda. Data sources included public messaging from M4L and affiliated social media pages, primary sources from M4L’s official website, official interview transcripts, news headline data, and relevant public policy data. This poster reports on the early findings and emerging implications of the study, as well as the potential value of the proposed theoretical-methodological framework for ethnographic and case study research within the information disciplines.

Estimating Prevalence and Number of People With Chronic Hepatitis B: A Multiplier Method Based on Public Health Surveillance Data in UK (2015-2021).

Estimates of chronic hepatitis B virus (HBV) prevalence and critically the amount of infection that is undiagnosed or unlinked to care are uncertain-even in countries like UK where vertical transmission and overall prevalence are very low. In the absence of country of birth data, we aim to estimate HBV prevalence through combining public health surveillance data on antenatally screened women by ethnic group and multipliers generated from non-antenatally screened populations by ethnic group with English population denominators. Of 714,287 women aged 16-49 years with ethnic group data tested as part of antenatal care between 2015 and 2021, 4174 (0.6%) were HBsAg-positive; 94% in people of ethnic groups other than White British. Of 1,447,467 people tested for HBsAg with ethnic group data from other testing sources (primary and secondary care excluding occupational health and renal services), 27,628 (1.9%) were HBsAg-positive; 87% in people of ethnic groups other than White British. We estimate that the overall number and prevalence of people with chronic hepatitis B in England is 268,767 (95% CI: 227,896-314,044) and 0.58% (95% CI: 0.50-0.68). Approximately two-thirds were male, one-third female, and 68% were aged under 50. We estimate that over 83% of HBV infections are in people of ethnic groups other than White British, with 23% in people from Black ethnic groups, 21% from other White ethnic groups and 19% in Asian ethnic groups. These estimates are the first step towards establishing whether England can meet World Health Organisation targets to eliminate HBV as a public health problem-using methods that can also be used by other countries.

Allies at Heart? A Study of Ideational Continentalism in Canadians’ Foreign Policy Attitudes

Abstract The United States has long represented one of Canada's primary international allies. This partnership has remained strong despite turbulent times in the relationship, such as the one brought forth by the Trump presidency. Our article seeks to understand the sources of such continuity through the lens of continentalism. While historical accounts of continentalism have portrayed it as a passive force stemming from Canada's material self-interest, scholars have recently identified the emergence of an evolved form of continentalism that represents a dominant idea and a coherent analytical framework in Canadian foreign policy. Has this new form of continentalism indeed gained widespread acceptance among Canadians? We answer this question by considering continentalism in the ideational realm. Using novel public opinion data, our analysis investigates whether continentalist attitudes have become embedded in Canadians’ national identity and foster closer alignment preferences vis-à-vis the United States. We find significant and robust evidence of such effects.

The Avoidance of Purine Stretches by Cancer Mutations

Purine stretches, sequences of adenine (A) and guanine (G) in DNA, play critical roles in binding regulatory protein factors and influence gene expression by affecting DNA folding. This study investigates the relationship between purine stretches and cancer development, considering the aromaticity of purines, quantified by methods like Hückel’s rule and NICS calculations, and the importance of the flanking sequence context. A pronounced avoidance of long purine stretches by typical cancer mutations was observed in public data on the intergenic regions of cancer patients, suggesting a role of intergenic sequences in chromatin reorganization and gene regulation. A statistically significant shortening of purine stretches in cancerous tumors (p value < 0.0001) was found. The insights into the aromatic nature of purines and their stacking energies explain the role of purine stretches in DNA structure, contributing to their role in cancer progression. This research lays the groundwork for understanding the nature of purine stretches, emphasizing their importance in gene regulation and chromatin restructuring, and offers potential avenues for novel cancer therapies and insights into cancer etiology.

Navigating Global Research Trends on Seafoods-Related Foodborne Diseases: A Decadal Bibliometric Analysis

Ensuring seafood safety has become a critical area of focus due to its strong association with foodborne diseases. Despite the critical nature of this field, an in-depth understanding of global research trends in this field remains limited. Our study conducted an extensive bibliometric analysis to track the evolution and thematic focus of research on seafood safety from 2013 to 2023. Utilizing Scopus for publication and citation data, along with VOSviewer for visualizing keyword networks, this study highlights key developments and scholarly efforts aimed at mitigating risks associated with seafoods consumption. The analysis pinpoints the United States, China, the United Kingdom, France, South Korea and Malaysia as leading contributors. Their extensive research outputs and collaborations have markedly shaped the field's evolution. The overall positive trajectory in research volume experienced a minor setback in 2022, suggesting a complex and dynamic research landscape. "Food Control" is identified as a principal journal for the dissemination of research works, anchoring a dynamic co-citation network that fosters extensive international dialogue. We categorize seven principal research clusters: epidemiology, molecular detections, microbial resistance, bacteriophage applications, toxin detection methodologies, predictive modelling and biofilm studies. These clusters encompass the scopes and the breadth of current investigations. This decade-long review highlights the necessity for cohesive global research strategies to enhance the knowledge and control of foodborne pathogens in seafoods. This strategy is critical for improving food safety measures and safeguarding public health globally.

Research data use in a digital society: a deliberative public engagement

BackgroundSources of public and private data and ways to link them continue to evolve. This offers new opportunities for research, and new reasons for data-holding organisations to form partnerships. While research using these data can be beneficial, there is also a potential for negative consequences for some individuals or groups, including unintended or unanticipated effects. It is important to consult the public on how we might achieve both opportunities to link different types of data for research purposes, and protections against the misuse of data and the possibility of negative consequences. MethodsCombining data sources for research was the topic of four days of deliberation held in British Columbia, Canada in late 2019. Public deliberation events bring diverse groups of people together to give direct input to policy makers, through carefully structured in-depth discussion on issues that are controversial and/or a source of public concern. Participants discussed whether data from electronic medical records should be used for research purposes, whether it is acceptable to combine data from public and private sources, who should authorise its use in research, and how a public advisory group on data use might be structured. ResultsOver four days, 29 residents of BC developed 17 deliberative conclusions that can be grouped into four broad topic areas: balancing benefit and potential harms when linking data; the protections that are expected to govern use of data; the type of authorisation required; and how the public should be involved in an ongoing way. Overall, the public is very supportive of research as long as oversight and controls are in place, including ongoing input from members of the public. ConclusionDeliberative conclusions from this event provide essential public input on the use of linked data for research, in particular when those data come from multiple sources. This is important information as policy-makers continue to develop legislation and practices around the use and linkage of both public and private sources of data.

Polyploid cancer cells reveal signatures of chemotherapy resistance.

Therapeutic resistance in cancer significantly contributes to mortality, with many patients eventually experiencing recurrence after initial treatment responses. Recent studies have identified therapy-resistant large polyploid cancer cells in patient tissues, particularly in late-stage prostate cancer, linking them to advanced disease and relapse. Here, we analyzed bone marrow aspirates from 44 advanced prostate cancer patients and found the presence of CTC-IGC was significantly associated with poorer progression-free survival. Single cell copy number profiling of CTC-IGC displayed clonal origins with typical CTCs, suggesting complete polyploidization. Induced polyploid cancer cells from PC3 and MDA-MB-231 cell lines treated with docetaxel or cisplatin were examined through single cell DNA sequencing, RNA sequencing, and protein immunofluorescence. Novel RNA and protein markers, including HOMER1, TNFRSF9, and LRP1, were identified as linked to chemotherapy resistance. These markers were also present in a subset of patient CTCs and associated with recurrence in public gene expression data. This study highlights the prognostic significance of large polyploid tumor cells, their role in chemotherapy resistance, and their expression of markers tied to cancer relapse, offering new potential avenues for therapeutic development.

Tourism digital marketing in Indonesia: Current issues, challenges and opportunities

Purpose of the study: Marketing strategies must evolve with shifts in customer trends, behavior, and technological advancements. Academically, marketing has long been a key area of interest for scholars. This study systematically analyzes research references on tourism marketing in Indonesia. Methodology: This analysis draws on national publication data featuring tourism marketing keywords from 2014 to 2024, obtained via web scraping from the Google Scholar database. Additionally, it seeks to identify key concerns, challenges, and opportunities for digital marketing within Indonesia's tourism sector. Main Findings: This review highlights that academic journals cover diverse aspects of tourism marketing, including tourism, social sciences, communication management, and technology. Despite its limited scale, digital marketing is widely explored by scholars across fields. Bali, Bantul, Sleman, and Yogyakarta are frequently studied locations. Indonesian tourism marketing research tends to adopt qualitative approaches, yet a broad spectrum of contexts such as economics, business, communication, entrepreneurship, sociology, anthropology, and creative industries is also examined. Applications of the study: This study's scope is limited by the narrow range of Google Scholar articles. Future research can expand the literature, with key findings serving as hypotheses for further studies. Policymakers and the digital industry can use these insights for tourism product development. It also represents one of the latest ten-year reviews of digital marketing literature in Indonesia. Novelty/Originality of the study: Tourism must use effective marketing and adapt to changing market behaviors. Collaboration among stakeholders, including academics, is key to seizing opportunities and tackling future challenges.

GraphPI: Efficient Protein Inference with Graph Neural Networks.

The integration of deep learning approaches in biomedical research has been transformative, enabling breakthroughs in various applications. Despite these strides, its application in protein inference is impeded by the scarcity of extensively labeled data sets, a challenge compounded by the high costs and complexities of accurate protein annotation. In this study, we introduce GraphPI, a novel framework that treats protein inference as a node classification problem. We treat proteins as interconnected nodes within a protein-peptide-PSM graph, utilizing a graph neural network-based architecture to elucidate their interrelations. To address label scarcity, we train the model on a set of unlabeled public protein data sets with pseudolabels derived from an existing protein inference algorithm, enhanced by self-training to iteratively refine labels based on confidence scores. Contrary to prevalent methodologies necessitating data set-specific training, our research illustrates that GraphPI, due to the well-normalized nature of Percolator features, exhibits universal applicability without data set-specific fine-tuning, a feature that not only mitigates the risk of overfitting but also enhances computational efficiency. Our empirical experiments reveal notable performance on various test data sets and deliver significantly reduced computation times compared to common protein inference algorithms.

The Impact of Key Performance Indicators on Faculty Research in Higher Education

This study investigates the effectiveness of key performance indicators (KPIs) in evaluating the research contributions of academic staff in Uzbekistan, aiming to provide a nuanced understanding of faculty performance assessment. Employing a mixed-methods approach, the research integrates quantitative bibliometric analysis of publication data from 500 faculty members with qualitative interviews from 30 academics. The quantitative analysis focuses on metrics such as total publications, citation counts, and h-index scores, while the qualitative component explores faculty perceptions regarding the influence of KPIs on their research activities and career development. The analysis reveals significant variability in research productivity, with faculty averaging 12.4 publications and 110.2 citations. Econometric modeling indicates a strong positive correlation between publication metrics and citation impact, suggesting that higher publication output enhances academic visibility. Qualitative insights highlight the pressures of a "publish-or-perish" culture, which adversely affects research quality and faculty morale, particularly in contexts with limited institutional support. This research contributes to the discourse on academic performance evaluation by emphasizing the limitations of traditional metrics and advocating for a more holistic assessment framework. It highlights the need for higher education institutions to consider both quantitative and qualitative measures to better reflect the complexities of academic contributions in Uzbekistan.