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Human spaceflight has historically been managed by government agencies, such as in the NASA Twins Study1, but new commercial spaceflight opportunities have opened spaceflight to a broader population. In 2021, the SpaceX Inspiration4 mission launched the first all-civilian crew to low Earth orbit, which included the youngest American astronaut (aged 29), new in-flight experimental technologies (handheld ultrasound imaging, smartwatch wearables and immune profiling), ocular alignment measurements and new protocols for in-depth, multi-omic molecular and cellular profiling. Here we report the primary findings from the 3-day spaceflight mission, which induced a broad range of physiological and stress responses, neurovestibular changes indexed by ocular misalignment, and altered neurocognitive functioning, some of which match those of long-term spaceflight2, but almost all of which did not differ from baseline (pre-flight) after return to Earth. Overall, these preliminary civilian spaceflight data suggest that short-duration missions do not pose a significant health risk, and moreover present a rich opportunity to measure the earliest phases of adaptation to spaceflight in the human body at anatomical, cellular, physiological and cognitive levels. Finally, these methods and results lay the foundation for an open, rapidly expanding biomedical database for astronauts3, which can inform countermeasure development for both private and government-sponsored space missions.

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O texto discorre sobre relações entre a Ciência da Informação e o movimento da Ciência Aberta, sob a ótica de artigos científicos identificados na Base de Dados Referenciais de Artigos de Periódicos em Ciência da Informação. Objetiva determinar dimensões, campos e movimentos que se relacionam, estabelecendo um panorama dessa relação com as pesquisas brasileiras no período entre 2015 e 2019 no domínio da comunicação científica. A metodologia é a revisão narrativa de literatura, por meio da aplicação da análise de títulos, resumos e palavras-chave dos artigos selecionados. O campo empírico é composto pelos resultados obtidos pela busca na base, totalizando 36 resultados. Conclui-se que a Ciência da Informação está se relacionando com a Ciência Aberta, observando-se a prevalência de estudos sobre temáticas de dados de pesquisa abertos e sobre repositórios, de acordo com o período observado, como maneiras de aperfeiçoar os fazeres científicos.

The text discusses the relationship between Information Science and the Open Science movement, from the perspective of scientific articles identified in the Referential Database of Journal Articles in Information Science. The objective is to determine the dimensions, fields, and movements related, establishing an overview of this relationship with Brazilian research between 2015 and 2019, in the domain of scientific communication. The methodology employed is the narrative literature review, through the analysis of titles, abstracts, and keywords of selected articles. The empirical field consists of the results obtained through the search in the database, totaling 36 results. It is concluded that Information Science is relating to Open Science, with a prevalence of studies on open research data and repositories, according to the observed period, as ways to enhance scientific practices.

El texto discute la relación entre la Ciencia de la Información y el movimiento de la Ciencia Abierta, desde la perspectiva de artículos científicos identificados en la Base de Datos Referencial de Artículos de Revistas en Ciencia de la Información. El objetivo es determinar dimensiones, campos y movimientos relacionados, estableciendo una visión general de esta relación con la investigación brasileña entre 2015 y 2019, en el ámbito de la comunicación científica. La metodología es la revisión narrativa de literatura, a través del análisis de títulos, resúmenes y palabras clave de artículos seleccionados. El campo empírico consiste en los resultados obtenidos mediante la búsqueda en la base de datos, con 36 resultados. Se concluye que la Ciencia de la Información se relaciona con la Ciencia Abierta, con una prevalencia de estudios sobre datos de investigación abiertos y repositorios, según el período observado, como formas de mejorar las prácticas científicas.

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In the field of botany applied to archaeological and palaeoecological studies, the multi- and inter-disciplinary nature of this research produces a lack of data sharing and scattered articles in the specialty literature or in national and international journals. The vast production of archaeobotany and palynology data makes it necessary to develop a tool for the availability, accessibility, and dissemination of existing research. Many databases exist on palaeoecology, archaeobotany or pollen data. There are no collections focused on archaeological sites and human-induced environments and centred on Southern Europe and the Mediterranean. BRAIN - Botanical Records of Archaeobotany Italian Network is the first database listing sites from which all types of plant records are available in Italy and nearby Mediterranean regions. BRAIN represents the largest integrated collection of archaeo/palaeo-botanical data and a range of descriptive information that makes data recovery FAIR ready. This unique network hosts data on the availability of anthropogenic pollen, palynomorphs and plant macroremains in the same database, and experts of different research fields may contribute to it.

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In this narrative medicine essay, a medical ethicist discusses the complexity of juggling the interests of members in online forums dedicated to rare diseases after being blocked upon disclosing her affiliation with a medical school, thus barring her from the support and information she needed to manage her daughter's rare disease.

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OBJECTIVES: Compared to lung resections, airway procedures are relatively rare in thoracic surgery. Despite this, a growing number of dedicated airway centres have formed throughout Europe. These centres are characterized by a close interdisciplinary collaboration and they often act as supra-regional referring centres. To date, most evidence of airway surgery comes from retrospective, single-centre analysis as there is a lack of large-scale, multi-institutional databases. METHODS: In 2018, an initiative was formed, which aimed to create an airway database within the framework of the ESTS database (ESTS-AIR). Five dedicated airway centres were asked to test the database in a pilot phase. A 1st descriptive analysis of ESTS-AIR was performed. RESULTS: A total of 415 cases were included in the analysis. For adults, the most common indication for airway surgery was post-tracheostomy stenosis and idiopathic subglottic stenosis; in children, most resections/reconstructions had to be performed for post-intubation stenosis. Malignant indications required significantly longer resections [36.0 (21.4-50.6) mm] when compared to benign indications [26.6 (9.4-43.8) mm]. Length of hospital stay was 11.0 (4.1-17.3) days (adults) and 13.4 (7.6-19.6) days (children). Overall, the rates of complications were low with wound infections being reported as the most common morbidity. CONCLUSIONS: This evaluation of the 1st cases in the ESTS-AIR database allowed a large-scale analysis of the practice of airway surgery in dedicated European airway centres. It provides proof for the functionality of ESTS-AIR and sets the basis for rolling out the AIR subsection to all centres participating in the ESTS database.

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INTRODUCTION: Diagnosing invasive cutaneous melanoma (CM) can be challenging due to subjectivity in distinguishing equivocal nevi, melanoma in situ and thin CMs. The underlying molecular mechanisms of progression from nevus to melanoma must be better understood. Identifying biomarkers for treatment response, diagnostics and prognostics is crucial. Using biomedical data from biobanks and population-based healthcare data, translational research can improve patient care by implementing evidence-based findings. The BioMEL biobank is a prospective, multicentre, large-scale biomedical database on equivocal nevi and all stages of primary melanoma to metastases. Its purpose is to serve as a translational resource, enabling researchers to uncover objective molecular, genotypic, phenotypic and structural differences in nevi and all stages of melanoma. The main objective is to leverage BioMEL to significantly improve diagnostics, prognostics and therapy outcomes of patients with melanoma. METHODS AND ANALYSIS: The BioMEL biobank contains biological samples, epidemiological information and medical data from adult patients who receive routine care for melanoma. BioMEL is focused on primary and metastatic melanoma, but equivocal pigmented lesions such as clinically atypical nevi and melanoma in situ are also included. BioMEL data are gathered by questionnaires, blood sampling, tumour imaging, tissue sampling, medical records and histopathological reports. ETHICS AND DISSEMINATION: The BioMEL biobank project is approved by the national Swedish Ethical Review Authority (Dnr. 2013/101, 2013/339, 2020/00469, 2021/01432 and 2022/02421-02). The datasets generated are not publicly available due to regulations related to the ethical review authority. TRIAL REGISTRATION NUMBER: NCT05446155.

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BACKGROUND: Although systemic postoperative therapy after surgery for colorectal liver metastases is generally recommended, the benefit of adjuvant chemotherapy has been debated. We used machine learning to develop a decision tree and define which patients may benefit from adjuvant chemotherapy after hepatectomy for colorectal liver metastases. METHODS: Patients who underwent curative-intent resection for colorectal liver metastases between 2000 and 2020 were identified from an international multi-institutional database. An optimal policy tree analysis was used to determine the optimal assignment of the adjuvant chemotherapy to subgroups of patients for overall survival and recurrence-free survival. RESULTS: Among 1,358 patients who underwent curative-intent resection of colorectal liver metastases, 1,032 (76.0%) received adjuvant chemotherapy. After a median follow-up of 28.7 months (interquartile range 13.7-52.0), 5-year overall survival was 67.5%, and 3-year recurrence-free survival was 52.6%, respectively. Adjuvant chemotherapy was associated with better recurrence-free survival (3-year recurrence-free survival: adjuvant chemotherapy, 54.4% vs no adjuvant chemotherapy, 46.8%; P < .001) but no overall survival significant improvement (5-year overall survival: adjuvant chemotherapy, 68.1% vs no adjuvant chemotherapy, 65.7%; P = .15). Patients were randomly allocated into 2 cohorts (training data set, n = 679, testing data set, n = 679). The random forest model demonstrated good performance in predicting counterfactual probabilities of death and recurrence relative to receipt of adjuvant chemotherapy. According to the optimal policy tree, patient demographics, secondary tumor characteristics, and primary tumor characteristics defined the subpopulation that would benefit from adjuvant chemotherapy. CONCLUSION: A novel artificial intelligence methodology based on patient, primary tumor, and treatment characteristics may help clinicians tailor adjuvant chemotherapy recommendations after colorectal liver metastases resection.

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MultifacetedProtDB is a database of multifunctional human proteins deriving information from other databases, including UniProt, GeneCards, Human Protein Atlas (HPA), Human Phenotype Ontology (HPO) and MONDO. It collects under the label 'multifaceted' multitasking proteins addressed in literature as pleiotropic, multidomain, promiscuous (in relation to enzymes catalysing multiple substrates) and moonlighting (with two or more molecular functions), and difficult to be retrieved with a direct search in existing non-specific databases. The study of multifunctional proteins is an expanding research area aiming to elucidate the complexities of biological processes, particularly in humans, where multifunctional proteins play roles in various processes, including signal transduction, metabolism, gene regulation and cellular communication, and are often involved in disease insurgence and progression. The webserver allows searching by gene, protein and any associated structural and functional information, like available structures from PDB, structural models and interactors, using multiple filters. Protein entries are supplemented with comprehensive annotations including EC number, GO terms (biological pathways, molecular functions, and cellular components), pathways from Reactome, subcellular localization from UniProt, tissue and cell type expression from HPA, and associated diseases following MONDO, Orphanet and OMIM classification. MultiFacetedProtDB is freely available as a web server at: https://multifacetedprotdb.biocomp.unibo.it/.

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Immune checkpoint inhibitors are becoming an increasingly common treatment for advanced gastrointestinal cancer, but the possibility of immune-related adverse events has raised concerns. This study aimed to evaluate the risks of immune-related adverse events between patients who received immune checkpoint inhibitors and those who received chemotherapy among different types of gastrointestinal cancer. The study utilized data from the multicenter TriNetX database in the United States covering the period between 2015 and 2022. Hazard ratios and 95% confidence intervals were used to describe the relative hazard of immune-related adverse events based on comparing time-to-event rates. Our study revealed that the incidence of immune-related adverse events was significantly higher in patients who received immune checkpoint inhibitors and chemotherapy compared to those who received chemotherapy only in treating gastrointestinal cancer. CTLA-4 inhibitors tended to have a higher rate of immune-related adverse events compared to PD-1/PD-L1 inhibitors. Our study found a lower mortality rate among patients who developed immune-related adverse events compared to those who did not after propensity score matching (HR, 0.661; 95% CI 0.620-0.704; p < .01). We provide important real-world data on the incidence and impact of immune-related adverse events in patients with advanced gastrointestinal cancer treated with immune checkpoint inhibitors. Our study's results support clinicians in making informed decisions about the potential benefits and risks of immune checkpoint inhibitor therapy for patients with gastrointestinal cancer.

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PURPOSE: To describe the creation of a multi-center cochlear implant database as a template for future medical database design. The first clinical question examined was the association between BMI on cochlear implant surgical time and postoperative outcome. MATERIALS AND METHODS: A retrospective repository in REDCap, named the "Repository of Cochlear Implant Information" (ROCII), was created and collected de-identified data on patients who underwent cochlear implantation. Data was exported and stratified into three BMI groupings (<25, 25.0-29.9, ≥ 30.0). Differences in surgical time and AZBio Sentence Test postoperative score changes were analyzed using the mixed-effect model. RESULTS: The mean BMI (n = 145) was 28.52, and the mean surgical time was 128.9 min. The BMI < 25 reference group (n = 50) and the BMI 25.0-29.9 group (n = 50) had an identical mean surgical time of 127.5 min. The BMI ≥30.0 group (n = 45) had a mean surgical time of 132 min, however this difference was not statistically significant when compared to the reference group (p = 0.4727). The mean AZBio postoperative score change (n = 74) was 63.32. The BMI < 25 reference group (n = 29) had a mean postoperative change of 56.66. The BMI 25.0-29.9 group (n = 22) and BMI ≥30.0 group (n = 23) had mean postoperative changes of 61.32 and 73.65 respectively, however these differences were not statistically significant compared to the reference group (p = 0.5847, 0.0637). CONCLUSION: BMI did not have a significant association with surgical time or postoperative outcome and therefore should not be a contraindication for implantation. ROCII will facilitate a deeper understanding of the evaluation process, outcomes, and patient experience of cochlear implantation across institutions. LEVEL OF EVIDENCE: Level 1.

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Approaches to comparing safety and efficacy of interventions include analyzing data from randomized controlled trials (RCTs), registries and observational databases (ODBs). RCTs are regarded as the gold standard but data from such trials are sometimes unavailable because a disease is uncommon, because the intervention is uncommon, because of structural limitations or because randomization cannot be done for practical or (seemingly) ethical reasons. There are many examples of an unproved intervention being so widely-believed to be effective that clinical trialists and potential subjects decline randomization. Often, when a RCT is finally done the intervention is proved ineffective or even harmful. These situations are termed medical reversals and are not uncommon [1,2]. There is also the dilemma of when seemingly similar RCTs report discordant conclisions Data from high-quality registries, especially ODBs can be used when data from RCTs are unavailable but also have limitations. Biases and confounding co-variates may be unknown, difficult or impossible to identify and/or difficult to adjust for adequately. However, ODBs sometimes have large numbers of diverse subjects and often give answers more useful to clinicians than RCTs. Side-by-side comparisons suggest analyses from high-quality ODBs often give similar conclusions from high quality RCTs. Meta-analyses combining data from RCTs, registries and ODBs are sometimes appropriate. We suggest increased use of registries and ODBs to compare efficacy of interventions.

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Introducción En los estudios multicéntricos la protocolización de los datos es una fase crítica que puede generar sesgos, sobre todo en estudios clínicos con presupuesto limitado. El objetivo es analizar la concordancia y la confiabilidad de los datos obtenidos en un estudio multicéntrico clínico entre la protocolización del centro de origen y la protocolización centralizada mediante un data-manager. Método Estudio clínico multicéntrico de prevalencia nacional sobre un carcinoma familiar infrecuente, realizándose una doble protocolización de los datos: a)en el centro de origen, y b)centralizada con un data-manager. La concordancia se analiza para el global de los datos y para los dos subgrupos del proyecto: a)grupo a estudio (carcinoma familiar; protocolizan 30 investigadores) y b)grupo control (carcinoma esporádico; protocolizan 4). Las diferencias interobservador se evalúan mediante el índice de Kappa de Cohen. Resultados Se incluyen 689 pacientes: 252 del grupo a estudio y 437 del grupo control. Respecto al análisis de concordancia del estadio tumoral, se han objetivado un 2,5% de discordancias, siendo alta la concordancia entre protocolizadores (Kappa=0,931). Respecto a la valoración del riesgo de recidiva, las discordancias fueron del 7% de los casos, siendo alta la concordancia (Kappa=0,819). Respecto a la clasificación ecográfica TIRADS, las discordancias son del 6,9% y la concordancia es alta (Kappa=0,922). Se han detectado un 4,6% de errores de transcripción. Conclusiones En los estudios multicéntricos clínicos la protocolización centralizada de los datos por un data-manager parece presentar resultados similares a la protocolización directa en la base de datos en el centro de origen. (AU)

Introduction In multicenter studies, the protocolization of data is a critical phase that can generate biases. The objective is to analyze the concordance and reliability of the data obtained in a clinical multicenter study between the protocolization in the center of origin and the centralized protocolization of the data by a data-manager. Methods National multicenter clinical study about an infrequent carcinoma. A double protocolization of the data is carried out: (i)center of origin; and (ii)centralized by a data manager. The concordance between the data is analyzed for the global data and for the two groups of the project: (i)study group (familiar carcinoma, 30 researchers protocolize); (ii)control group (sporadic carcinoma, 4 people protocolize). Interobserver variability is evaluated using Cohen's kappa coefficient. Results The study includes a total of 689 patients with carcinoma: 252 in the study group and 437 in the control group. Regarding the concordance analysis of the tumor stage, 2.5% of disagreements were observed and the concordance between people who protocolize was near perfect (Kappa=0.931). Regarding the evaluation of the recurrence risk, disagreements occurred in 7% of the cases and the concordance was near perfect (Kappa=0.819). Regarding the sonography evaluation (TIRADS), the disagreements were 6.9% and the concordance was near perfect (Kappa=0.922). Also, 4.6% of transcription errors were detected. Conclusions In multicenter clinical studies, the centralized data protocolization by a data-manager seems to present similar results to the direct protocolization in the database in the center of origin. (AU)

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Malnutrition prevails among patients with heart failure (HF), increasing the likelihood of functional decline. We assessed the predictive value of the Hemoglobin-Geriatric Nutritional Risk Index (H-GNRI)-combining hemoglobin and the Geriatric Nutritional Risk Index (GNRI)-on prognosis in older patients with HF. We used the JMDC multicenter database to examine the potential associations between malnutrition risk and other outcome measures. The patients were categorized as low- (H-GNRI score = 0), intermediate- (H-GNRI score = 1), or high-risk (H-GNRI score = 2) based on their H-GNRI scores. The primary outcome measure was the Barthel Index (BI) gain; the secondary outcomes included the BI at discharge, the BI efficiency, length of hospital stay, in-hospital mortality, discharge to home or a nursing home, and hospitalization-associated disability. We analyzed 3532 patients, with 244 being low-risk, 952 being intermediate-risk, and 2336 being high-risk patients. The high-risk group of patients had significantly lower BI values at discharge, lower BI gains, reduced BI efficiency values, and prolonged hospital stays compared to those in the low-risk group. The high-risk patients also had higher in-hospital mortality rates, lower rates of discharge to home or a nursing home, and greater incidences of a hospitalization-associated disability in comparison to the low-risk group. The H-GNRI may serve as a valuable tool for determining prognoses for patients with HF.

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In modern reproducible, hypothesis-driven plant research, scientists are increasingly relying on research data management (RDM) services and infrastructures to streamline the processes of collecting, processing, sharing, and archiving research data. FAIR (i.e., findable, accessible, interoperable, and reusable) research data play a pivotal role in enabling the integration of interdisciplinary knowledge and facilitating the comparison and synthesis of a wide range of analytical findings. The PLANTdataHUB offers a solution that realizes RDM of scientific (meta)data as evolving collections of files in a directory - yielding FAIR digital objects called ARCs - with tools that enable scientists to plan, communicate, collaborate, publish, and reuse data on the same platform while gaining continuous quality control insights. The centralized platform is scalable from personal use to global communities and provides advanced federation capabilities for institutions that prefer to host their own satellite instances. This approach borrows many concepts from software development and adapts them to fit the challenges of the field of modern plant science undergoing digital transformation. The PLANTdataHUB supports researchers in each stage of a scientific project with adaptable continuous quality control insights, from the early planning phase to data publication. The central live instance of PLANTdataHUB is accessible at (https://git.nfdi4plants.org), and it will continue to evolve as a community-driven and dynamic resource that serves the needs of contemporary plant science.

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BACKGROUND: A multidimensional voice quality assessment is recommended for all patients with dysphonia, which requires a patient visit to the otolaryngology clinic. The aim of this study was to determine the accuracy of an online artificial intelligence classifier, the Online Sequential Extreme Learning Machine (OSELM), in detecting voice pathology. In this study, a Malaysian Voice Pathology Database (MVPD), which is the first Malaysian voice database, was created and tested. METHODS: The study included 382 participants (252 normal voices and 130 dysphonic voices) in the proposed database MVPD. Complete data were obtained for both groups, including voice samples, laryngostroboscopy videos, and acoustic analysis. The diagnoses of patients with dysphonia were obtained. Each voice sample was anonymized using a code that was specific to each individual and stored in the MVPD. These voice samples were used to train and test the proposed OSELM algorithm. The performance of OSELM was evaluated and compared with other classifiers in terms of the accuracy, sensitivity, and specificity of detecting and differentiating dysphonic voices. RESULTS: The accuracy, sensitivity, and specificity of OSELM in detecting normal and dysphonic voices were 90%, 98%, and 73%, respectively. The classifier differentiated between structural and non-structural vocal fold pathology with accuracy, sensitivity, and specificity of 84%, 89%, and 88%, respectively, while it differentiated between malignant and benign lesions with an accuracy, sensitivity, and specificity of 92%, 100%, and 58%, respectively. Compared to other classifiers, OSELM showed superior accuracy and sensitivity in detecting dysphonic voices, differentiating structural versus non-structural vocal fold pathology, and between malignant and benign voice pathology. CONCLUSION: The OSELM algorithm exhibited the highest accuracy and sensitivity compared to other classifiers in detecting voice pathology, classifying between malignant and benign lesions, and differentiating between structural and non-structural vocal pathology. Hence, it is a promising artificial intelligence that supports an online application to be used as a screening tool to encourage people to seek medical consultation early for a definitive diagnosis of voice pathology.

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The interactions between hypoglycemic drugs and other drugs were retrieved based on the pharmacy information database to evaluate the X-level/contraindication and D-level/serious potential drug interactions (pDDIs) of outpatient anticoagulant prescriptions, so as to provide a guarantee for clinically safe drug use. METHODS: Based on the interaction of 5 oral anticoagulants recommended in the "China Guidelines for the Prevention and Treatment of Thrombotic Diseases (2018 Edition)" retrieved from the two databases of Lexicomp and Micromedex, statistics of a hospital from January 1,2021 to 2022 During March 31st,200 outpatients with anticoagulant prescriptions for grade X/contraindication and grade D/severe pDDIs were analyzed by multivariate Logistic binary regression analysis. RESULTS: Among the 200 athletic patients, there were 0 pairs of grade X/taboo pDDIs,and 67 pairs of grade D/severe pDDIs, mainly due to grade D/serious potential bleeding caused by the combination of anticoagulants and non-steroidal anti-inflammatory drugs(NSAIDs) risk. Multivariate Logistic binary regression analysis found that multiple drug combination (≥5 kinds) and concomitant cardiovascular disease were risk factors for the occurrence of grade D/severe pDDIs. CONCLUSION: for athletic patients with multiple diseases coexisting and needing to take multiple drugs, it is necessary to pay attention to the pDDIs of anticoagulant drugs, select appropriate drugs, and avoid fatal risks such as severe bleeding. Adverse reactions after medication were closely monitored. (AU)

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