Research Productivity Research Articles

Sequencing Strategy to Ensure Accurate Plasmid Assembly.

Despite the wide use of plasmids in research and clinical production, the need to verify plasmid sequences is a bottleneck that is too often underestimated in the manufacturing process. Although sequencing platforms continue to improve, the method and assembly pipeline chosen still influence the final plasmid assembly sequence. Furthermore, few dedicated tools exist for plasmid assembly, especially for de novo assembly. Here, we evaluated short-read, long-read, and hybrid (both short and long reads) de novo assembly pipelines across three replicates of a 24-plasmid library. Consistent with previous characterizations of each sequencing technology, short-read assemblies had issues resolving GC-rich regions, and long-read assemblies commonly had small insertions and deletions, especially in repetitive regions. The hybrid approach facilitated the most accurate, consistent assembly generation and identified mutations relative to the reference sequence. Although Sanger sequencing can be used to verify specific regions, some GC-rich and repetitive regions were difficult to resolve using any method, suggesting that easily sequenced genetic parts should be prioritized in the design of new genetic constructs.

Impact of the COVID-19 Pandemic on the Scientific Production of Physical Education Researchers: A Five-Year Follow-Up Study.

The COVID-19 pandemic caused significant changes in society's dynamics, particularly affecting the landscape of education. Research in several areas may have been affected during periods of social restrictions. This study analyzed the curricula of 558 researchers across 27 graduate programs in physical education in Brazil to investigate the potential impact of the COVID-19 pandemic on scientific publications. Researchers' production from 2018 to 2022 underwent a comprehensive analysis, considering the total number of publications, Qualis rank, and journal impact factor. Data were analyzed using chi-squared and Kruskal-Wallis tests. Significance was set at 5%. Overall, the analyzed researchers published a total of 17,932 manuscripts from 2018 to 2022. During the COVID-19 pandemic, there was a decline of 16.4% in the number of articles published (p = 0.001). This decline was similar between men and women (p = 0.603) and was associated with a worsening in Qualis rank (p = 0.001). The number of studies published in journals with impact factors was also affected (p = 0.001). The findings suggest a potential impact of the COVID-19 pandemic on the scientific production of Brazilian researchers in the field of physical education. Funding agencies should consider the challenges associated with the COVID-19 pandemic before evaluating researchers and programs.

INNOVATION AND PRODUCTIVITY RESEARCH IN THE LAST FIVE DECADES: A BIBLIOMETRIC ANALYSIS

Purpose: This study aims to reveal research trends by revealing the evaluation in this field by making a holistic analysis of academic studies that have examined the concepts of innovation and productivity in the last five decades. This analysis aims to reveal the general structure of academic studies that deal with the concepts of innovation and productivity. Methodology: Articles searched in the ‘‘Social Science Citation Index (SSCI)’’, ‘‘Science Citation Index Expanded (SCI-EXPANDED)’’ and ‘‘Emerging Sources Citation Index (ESCI)’’ in the ‘‘Web of Science (WoS)’’ database, researching innovation and productivity together between 1980-2023. It was analysed and mapped using the VOSviewer 1.6.19 software and manual methods. Co-occurrence Keyword Analysis, Document Co-citation Analysis and manual analysis methods were used in the mapping. Findings: This study reveals how research in innovation and productivity has developed over the last five decades and what trends it has. It has been determined that the most published areas are Economy, Management and Business. The most frequently used keywords were found to be "innovation", "productivity", "research-and-development", "growth", "performance" and "impact". The most published topics on a cluster basis are "impact", "innovation and productivity", "growth", "research and development" and "performance", respectively. In the document co-citation analysis, it was determined that the publication in which all publications were linked included the study titled "Research, Innovation and Productivity: an econometric analysis at the firm level", published by Crépon et al. (1998). This information can be a valuable resource for future research and policy-making and can be used to drive innovation and productivity progress. Originality: While the study is the first and only content analysis to reveal the combined trends in this field by examining the "innovation and productivity" studies together, it is thought that the results obtained can guide researchers and professionals.

The research productivity profiles of the Philippines’ most research productive higher education institutions: Analyses by regional clusters and ownership types

Using SciVal, this article examines the bibliometric data of the Philippines’ most research-productive higher education institutions (HEIs) to provide policy recommendations that will collectively boost the research production of the country. The study reveals that 1) NCR leads in the bulk research production, number of authors, citations per paper, percentage of papers in the top 10% journals, percentage of papers with international collaboration, and percentage of papers with corporate collaboration. However, statistically significant differences among these regionally clustered most research-productive Philippine HEIs are limited to bulk research production, number of authors, and percentage of papers with corporate collaboration; 2) Privately-owned HEIs perform much better than publicly-owned HEIs, but the statistical differences are limited only to bulk research production and number of authors; 3) the statistically significant correlations among the bibliometric data are limited to bulk research production and number of authors, bulk research production and number of citations, number of authors and number of citations, number of authors and percentage of papers with institutional collaboration, and number of citations per paper and percentage of papers in top 10% journals. These results underscore that in a knowledge-based economy where research production is recognized as a key element in building the competitive edge of any industrialized country, there is an urgent need for the country’s policymakers and HEI research managers to monitor the trends in the research productivity of the Philippines’ most research-productive HEIs.

Impact of the organ-system integrated curriculum on the research productivity of a Philippine government medical school: An ARIMA-based bibliometric analysis

The organ-system integrated (OSI) curriculum was pioneered in the country by the U.P. College of Medicine (UPCM) in 2004. Data on its impact on research productivity was lacking. This study aims to describe the trends in research productivity of UPCM in a time series and the impact of OSI implementation on publication trends. Relevant electronic databases (PubMed, Scopus, and WPRIM) were searched from the earliest indexed record until December 2023. The auto-regressive integrated moving average (ARIMA) time series analysis was used to compare the actual and predicted trends during the OSI implementation using the pre-OSI trend. A total of 2,705 articles were included. Acta Medica Philippina is the journal with the highest number of publications (n = 420, 20.24%). Although there is a considerable rise in the number of publications utilizing evidence synthesis and qualitative design, observational studies remain as the most common design (n = 293, 2021-2023 period). The leading clinical departments are Neurosciences and Medicine. The departments of Biochemistry and Clinical Epidemiology take the lead among basic sciences departments. Despite the glaring uptrend in publications concurrent with OSI implementation, the actual trend is not significantly different from the predicted trend (LR chi2(1) = 0.37; Prob > chi2 = 0.5432). The OSI curriculum did not significantly change the trend of productivity. Medical curriculum designers should revisit strategies dedicated for research competencies. It is imperative to include activities for qualitative and mixed-methods designs. Future studies should consider relevant critical events in the time series forecasting models and the scientific outputs in the grey literature.

FACTORS AFFECTING RESEARCH PRODUCTIVITY OF HIGHER EDUCATION INSTITUTIONS

In the context of knowledge production and knowledge-based economy leading to current global competition among universities of the world, the research activity of universities is of particular importance in terms of creating, disseminating and using new knowledge for the benefits of society. From this point of view, it is considered appropriate to determine the factors having an influence on the research productivity of universities, and to study deeper the issues of proper organization, planning and management of the future research activity. In addition, as new educational policies prioritize the research activities of higher education institutions and encourage the establishment of research universities, it is of particular importance to investigate individual and institutional factors affecting research productivity.

Publications Among Pain Medicine Fellowship-Trained American Board of Anesthesiology Diplomates.

American Board of Anesthesiology (ABA) diplomates who pursue clinical fellowship training in pain medicine may be better suited to lead scholarly projects and serve as first authors of publications in peer-reviewed journals given their additional training and clinical expertise. The primary aim of this study was to determine whether ABA certification in pain medicine is associated with a greater number of peer-reviewed publications. The secondary aim included assessments of whether pain medicine fellowship training is associated with a higher publication rate (publications per year) or publication in a larger number of peer-reviewed journals. A literature search was conducted in December 2023 using the Scopus database for publications related to anesthesiology and pain medicine in the United States between 2013 and 2023. First authors identified through the search were then individually searched within the ABA physician directory. The following data were collected: author name and identification number, year of publication, publication type (article or review), year of primary anesthesiology certification, and year of fellowship, if applicable. This study identified 9,612 publications and 6,924 unique first authors. Pain medicine fellowship training was associated with a statistically significant increase (p-value < 0.001) in the number of publications (0.546; 95% confidence interval {CI}, 0.386-0.707), publications per year (0.140; 95% CI, 0.121-0.159), and publication in a larger number of peer-reviewed journals (0.256; 95% CI, 0.182-0.330) in regression models adjusted for the number of years from certification. This query of the Scopus database and ABA physician directory indicates that pain medicine fellowship training is associated with statistically significant increases in research productivity, as defined by the number of publications, publications per year, or the number of publications in peer-reviewed journals. However, these increases in research output would not lead to a marked increase inscholarship productivity to justify pursuing a fellowship for this purpose.

Evaluation of Research Productivity among Academic Glaucoma Specialists Using the Relative Citation Ratio

PurposeTo provide relative citation ratio (RCR) benchmark data for the field of glaucoma. DesignCross-sectional bibliometric analysis. SubjectsFellowship-trained glaucoma faculty at ACGME-accredited institutions. MethodsGlaucoma faculty were individually indexed using the NIH iCite website. Publication count, mean RCR score, and weighted RCR score were collected for each author between May and August 2023 and included PubMed-listed articles from 1980 to 2023. Data were compared by gender, career duration, academic rank, and acquisition of a Doctor of Philosophy (PhD). Main Outcome MeasuresTotal number of publications, mean RCR value, weighted RCR value. Results526 academic glaucoma specialists from 113 institutions were indexed. These physicians produced highly impactful research with a median publication count of 13 (IQR 4-38), median RCR of 1.41 (IQR 0.97-1.98), and median weighted RCR of 16.89 (4.80-63.39). Academic rank, career duration, and having a PhD were associated with increased publication count, mean RCR, and weighted RCR. Publication count and weighted RCR differed significantly by gender, however, no difference was observed with mean RCR. ConclusionsCurrent academic glaucoma specialists have high mean RCR values relative to the NIH standard RCR value of 1. This benchmark data serves as a more accurate gauge of research impact within the glaucoma community and can be used to inform self, institutional, and departmental evaluations. Additionally, the mean RCR may provide an accurate metric for quantifying research productivity among historically underrepresented groups that are disadvantaged by time-dependent factors such as number of publications.

FITNESS TRACKER : LONG TERM HEALTH OUTCOME

Abstract : The Fitness Tracker is the product of information and technology research and development aimed at analyzing health-related problems. On our fitness tracker page, we discuss how wearable technology can be a game changer for promoting physical activity and general well-being. We examine how fitness trackers help users monitor and improve their exercise routines using data from seminal studies on the subject (Jacobsen et al., 2016; Flores Mateo et al., 2015) [1][2]. Market analyses provide the basis for our material, which showcases technology advancements and industry trends (Market Research Future; Deloitte Insights) [3][4] as well as in-depth sensor technology textbooks (Sazonov &amp; Neuman) [5]… We explore the role that incentives play in promoting sustained involvement in physical activity, informed by research such as the randomized controlled trial carried out by Finkelstein et al. (2016). [6]. Evidence-based guidelines supporting regular exercise as the cornerstone of a healthy lifestyle have been produced by the American College of Sports Medicine (ACSM) and the World Health Organization (WHO) [7][8] (CDC; Int. J. Sports Med.) [9][10]. These recommendations form the cornerstone of our methodology. Additionally, we investigate how wearable fitness technology influences habit modification and long-term health effects by integrating insights from behavioral science and digital health. Through the synthesis of these varied perspectives, our website offers comprehensive information and useful approaches for people looking to maximize their fitness goals and general well-being. Keywords : activity tracker, health metrics, fitness insights ,global fitness market ,innovation in wearables

Inteligência artificial, vieses algorítmicos e racismo: o lado obscuro da justiça algorítmica

This article aims to identify some negative externalities arising from non-observance of certain ethical standards in AI models. The study aims to clarify the importance of paying close attention to the database that are used in the construction of AI models, as well as listing possible solutions to reduce the incidence of biased algorithms and mitigate their harmful consequences. The justification for the scope of the work lies in the need to know the perverse effects that biased algorithms can produce in the justice system and in society in general, violating fundamental rights and catalyzing prejudices and segregations inherent to the society on which they are based. The inductive method is employed in the research phase and production of the research report; in the processing of the data, the Cartesian method is used; for verification of the results, it uses the inductive logic. As for the methodology, the exploratory and descriptive nature is used.

Research design and production of ambient atmosphere monitoring control system internet of things technology application

In this paper, presents solutions to application internet of things (IoT) technology in the field of high-tech agriculture, livestock in Vietnam is currently a new problem. The system includes an application on a smartphone; access the parameters via the web, on the computer. The product has a monitoring function: the ambient atmosphere indicators of the pig farm (temperature, humidity, CO&lt;sub&gt;2&lt;/sub&gt;, NH&lt;sub&gt;3&lt;/sub&gt;, H&lt;sub&gt;2&lt;/sub&gt;S gas, and Biogas pressure), on the website 24/24 hour and control automatic control monitoring system. This is a problem of researching, designing and manufacturing products to automatically control the quality of the ambient atmosphere to improve productivity and quality of pig raising in practice at Bach Khoa Production, Trade and Service Joint Stock Company Bach Phuong (Address: Vinh Hao Commune, Vu Ban District, Nam Dinh Province, Vietnam).

Alternativas en la enseñanza del tiempo: legados de la pervivencia indígena

The article, the partial product of research, raises the question of the teaching of history in relation to childhood, an aspect that led us to trace our own temporal notions, built by indigenous communities, expressed in practices that account for their struggle for survival. This qualitative research was based on documentary review, workshops, and interviews. The findings that are presented are due to the analysis of the documentary review, identifying three temporary records, which have influenced the formation of boys and girls from the understanding of time and the past. In the concluding section, the learning of temporal notions associated with walking in one's own time is recovered.

Predictive factors for academic oncology career placement.

9039 Background: Oncology is a discipline that has witnessed rapid expansion with new therapeutics and practices. Following this trend, training programs are increasingly valuing the cultivation of academic oncologists who will contribute to these developments through research. This study aims to explore characteristics of fellowship programs in the US promoting academic careers in oncology (initial academic position). Methods: A sampling of graduated fellow profiles available on the public websites of US hematology-oncology programs was conducted. To minimize over-representation from programs, even sampling of all available graduated fellows by year was done with a maximum of 10 per program. Characteristics including demographics, educational background, google scholar publication count during fellowship (divided into quartiles), program characteristics, and initial job (academics vs private practice) were collected. Academics was defined as working for an institution associated with a medical school. Logistic regression modeling was utilized to identify characteristics associated with higher odds of initial academic placement. Results: Between 2007 and 2023, 564 graduated fellows were identified, making up 39% of programs, with a majority favoring more recent years. Fellows graduating from NCI cancer center-associated programs and those of academic programs had significantly higher odds of obtaining an initial academic position (OR 1.60, 95% CI 1.08-2.38, p &lt;0.05; OR 2.25, 95% CI 1.22-4.30, p &lt;0.05). The strongest association was noted with scholarly productivity. Fellows of the highest quartile of productivity during their fellowship years (OR 9.70, 4.94-19.80, p &lt;0.001) had the highest odds of obtaining an initial academic position. Characteristics without significant association included type of medical school (US vs IMG) and gender. Conclusions: Our data shows several characteristics associated with higher odds of initial academic placement, but most prominently, fellows of the highest quartile of research productivity were more than nine times likely than those of the lowest quartile of research productivity to obtain an academic position after fellowship. Our study is limited by its observational nature, but the magnitude and significance of association is worth investigating further and can shed light on the value of fellowship academic initiatives to foster research development. Select variables of a logistic regression model examining characteristics associated with obtaining an initial academic position after fellowship. Gender and Medical School status not included. [Table: see text]

Bibliometric Analysis and Visualization of Scientific Literature on Heart Disease Classification Using a Logistic Regression Model.

With the advancement in artificial intelligence, the use of machine learning algorithms for clinical prediction has increased tremendously. Logistic regression is one of the powerful machine learning algorithms that can be used to predict the probability of a variable. Logistic regression is very popular among medical researchers owing to its simplicity, interpretability, and solid statistical foundation. This study aims to investigate the research productivity of heart disease classification using a logistic regression model to analyze the current patterns and potential future trends through bibliometric analysis. Additionally, it aims to highlight the impact and quality of research in the area, identify prominent research groups,the countries actively contributing to the field, which will help the researchers andhealthcare professionals to pinpoint research gaps, influential authors, and make informed decisions and invest resources accordingly. The data is collected from a database of Scopus spanning from 2019 to 2023. We have used two bibliometric software, Biblioshiny(Aria and Cuccurullo, 2017) and VOSviewer (Centre for Science and Technology Studies (CWTS), Leiden University,the Netherlands), to analyze the bibliographic data regarding the citation count, contribution of authors, publication count, the contribution of institutions, etc.There are 2331 documents under study which were fed into both software to analyze the data. With 700 documents, China topped the list of most productive countries indicating the vast contribution of the country followed by India and the United States. Contributions of the Harvard Medical School, Boston, MA, United States are found to be the greatest with six papers. The most productive author is Wang Y with 73 documents. Analysis of trending topics reveals that the field progressing towards using support vector machines (SVM), k-nearest neighbours (KNN), and naïveBayes algorithms. The article has only considered data from Scopus excluding literature indexed in other databases which limits the potential coverage of the data. Also, the work focuses on recent developments excluding older literature from 2019 which could be a limitation. Furthermore, since the study is a bibliometric analysis targeting the use of logistic regression for heart disease prediction, powerfultechniques such as SVM, decision trees, random forests, neural networksand deep learning have not been included, which could be another limitation.

Exploring the Roles, Functions, and Work Experiences of Nurse Scientists in the Veterans Health Administration.

The aim of this project was to describe nurse scientists' roles, functions, and work experiences in the Veterans Health Administration (VHA). Nurse scientists play a critical role in shaping the culture of clinical inquiry and closing the gap between knowledge and practice. A cross-sectional survey was used to collect information on sociodemographics, workload, research, clinical practice, education, and time/effort. Data were examined using descriptive statistics and χ2 analyses. One hundred forty-four nurse scientists completed the survey. These nurse scientists serve dynamic and critical roles in conducting research, implementing evidence-based practice, and reforming policy. Research effort was limited due to workload and infrastructure constraints. Better research infrastructure was associated with higher research productivity and funding. This survey highlights the needs and challenges nurse scientists experience in conducting research and advancing VHA's mission. Given the national shortage of PhD-prepared nurses, long-term strategies are needed to attract, hire, and retain nurse scientists in healthcare systems.

The Howard‐Harvard effect: Institutional reproduction of intersectional inequalities

AbstractThe production of research and faculty in the US higher education system is concentrated within a few institutions. Concentration of research and resources affects minoritized scholars and the topics with which they are disproportionately associated. This paper examines topical alignment between institutions and authors of varying intersectional identities, and the relationship between research topics and identities with institutional prestige and scientific impact. Our results show statistically significant differences between minoritized scholars and White men in citations and journal impact. The aggregate research profile of prestigious US universities is highly correlated with the research profile of White men, and negatively correlated with the research profile of minoritized women. Furthermore, authors affiliated with more prestigious institutions are associated with increasing inequalities in both citations and journal impact. These results suggest a relationship—which we coin as the Howard‐Harvard effect—in which the topical profile of minoritized scholars is further marginalized in prestigious institutions as compared to mission‐driven institutions. Academic institutions and funders should create policies to mitigate the systemic barriers that prevent the United States from achieving a fully robust scientific ecosystem.

The role of commercial agriculture in meeting sustainable development goals in South Africa: Evidence from municipal-level total factor productivity analysis

Improving agricultural productivity is critical, both locally and globally, particularly in the pursuit of the Sustainable Development Goals (SDGs) of eradicating poverty (SDG 1), increasing food production for food security (SDG 2), and promoting efficient use of agricultural resources and sustainable farming practices (SDG 12). This study examines and compares total factor productivity efficiency (TFPE) in the South African commercial agricultural sector, along with its drivers, using local municipal-level data. We used the Färe-Primont index to assess municipalities' TFPE levels, considering both traditional (economic) factors (labour, land, and operating expenses) and environmental variables (temperature, rainfall, and soil moisture index). Our TFPE index results are not only lower, but they show more variation across municipalities than the economic TFPE index, which is commonly used in agricultural productivity research. This implies that ignoring environmental variables may bias analysis; therefore, future studies should consider including environmental factors in their analyses. We then used hierarchical clustering to group municipalities with similar TFPE levels and components, followed by fractional regression to identify the drivers of efficiency levels. The cluster analysis results reveal that the best-performing municipalities are in cluster 4, comprising municipalities from the Western Cape Winelands specialising in horticulture production, municipalities near urban areas with better market proximity, those engaged in the global value chain, and those with a high proportion of farmers who own most of their farmland. Furthermore, the fractional regression results show that age, gender, race, market proximity, land use types, and production diversification are significant drivers of TFPE and its components. Our study offers insights into the divergent agricultural TFPE performance among municipalities and the underlying factors causing these disparities. The findings can inform the development of targeted strategies, particularly at the local level, aimed at enhancing agricultural productivity and making significant contributions to achieving the SDGs.

Food Chemicals and Epigenetic Targets: An Epi Food Chemical Database.

There is increasing awareness of epigenetics's importance in understanding disease etiologies and developing novel therapeutics. An increasing number of publications in the past few years reflect the renewed interest in epigenetic processes and their relationship with food chemicals. However, there needs to be a recent study that accounts for the most recent advances in the area by associating the chemical structures of food and natural product components with their biological activity. Here, we analyze the status of food chemicals and their intersection with natural products in epigenetic research. Using chemoinformatics tools, we compared quantitatively the chemical contents, structural diversity, and coverage in the chemical space of food chemicals with reported epigenetic activity. As part of this work, we built and curated a compound database of food and natural product chemicals annotated with structural information, an epigenetic target activity profile, and the main source of the food chemical or natural product, among other relevant features. The compounds are cross-linked with identifiers from other major public databases such as FooDB and the collection of open natural products, COCONUT. The compound database, the "Epi Food Chemical Database", is accessible in HTML and CSV formats at https://github.com/DIFACQUIM/Epi_food_Chemical_Database.

FUNDAMENTOS DEL POR QUÉ SE DEBE DESARROLLAR INVESTIGACIÓN CLÍNICA EN REGIONES

Chile spends 0.34% of GDP on research vs. the OECD which declares an average of 2.66%. Measured the result in number of publications and citations of articles originating in our country, by 2021 we had 19,413 publications and 82,289 citations in 11 years. When a coun­try has low income, and the percentage allocated to research is very low, it must be extremely careful in determining what topics will be financed, the quality of the researchers and the projects they apply for, and the benefit they will bring to the country. The waste of resources is caused by expenditure on poorly designed research with useless, non-publishable results. Within this panorama, one migth ask: where to invest in research? Is it justified to conduct research in the provinces or to allocate scarce resources only to centers with a long history and high research productivity? The fundamentals for supporting research in provinces, where are young universities are as follows: 1) Great ideas can be born anywhere, which must give way to research. 2) The methodology must be accurate so that the results are useful and publishable in prestigious journals. What is not published does not exist. 3) There are problems specific to some regions that require a response based on research. 4) The published data, originating from studies in other populations and other realities, are not always applicable to our entire population. 5) Medical schools have emerged in various regions, and their students need an “academic environment” and part of this is having clinical researchers. 6) The main principles of research bioethics must always be respected.

Impact of COVID-19 pandemic on physician-scientist trainees to faculty one year into the pandemic

PurposePhysician-scientists play a crucial role in advancing biomedical sciences. Proportionally fewer physicians are actively engaged in scientific pursuits, attributed to attrition in the training and retention pipeline. This national study evaluated the ongoing and longer-term impact of the COVID-19 pandemic on stress levels, research productivity, and optimism for physician-scientists at all levels of training.MethodsA multi-institutional cross-sectional survey of medical students, graduate students, and residents/fellows/junior faculty (RFJF) was conducted from April to August 2021 to assess the impact of COVID-19 on individual stress, productivity, and optimism. Multivariate regression analyses were performed to identify associated variables and unsupervised variable clustering techniques were employed to identify highly correlated responses.ResultsA total 677 respondents completed the survey, representing different stages of physician-scientist training. Respondents report high levels of stress (medical students: 85%, graduate students: 63%, RFJF: 85%) attributed to impaired productivity concerns, concern about health of family and friends, impact on personal health and impairment in training or career development. Many cited impaired productivity (medical students: 65% graduate students: 79%, RFJF: 78%) associated with pandemic impacts on training, labs closures and loss of facility/resource access, and social isolation. Optimism levels were low (medical students: 37%, graduate students: 38% and RFJF: 39%) with females less likely to be optimistic and more likely to report concerns of long-term effects of COVID-19. Optimism about the future was correlated with not worrying about the long-term effects of COVID-19. Since the COVID-19 pandemic, all respondents reported increased prioritization of time with family/friends (67%) and personal health (62%) over career (25%) and research (24%).ConclusionsThis national survey highlights the significant and protracted impact of the COVID-19 pandemic on stress levels, productivity, and optimism among physician-scientists and trainees. These findings underscore the urgent need for tailored support, including mental health, academic, and career development assistance for this biomedical workforce.