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231 results for “doctorant”
Georgia Coastal Ecosystems site, station Altamaha River at Doctor Town (USGS), study of mean daily streamflow in units of litersPerSecond on a monthly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a monthly timescale.
Georgia Coastal Ecosystems site, station Altamaha River at Doctor Town (USGS), study of mean daily streamflow in units of litersPerSecond on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Georgia Coastal Ecosystems (GCE) contains mean daily streamflow measurements in litersPerSecond units and were aggregated to a yearly timescale.
Data from: Co-prescription network reveals social dynamics of opioid doctor shopping
This paper examines network prominence in a co-prescription network as an indicator of opioid doctor shopping (i.e., fraudulent solicitation of opioids from multiple prescribers). Using longitudinal data from a large commercially insured population, we construct a network where a tie between patients is weighted by the number of shared opioid prescribers. Given prior research suggesting that doctor shopping may be a social process, we hypothesize that active doctor shoppers will occupy central structural positions in this network. We show that network prominence, operationalized using PageRank, is associated with more opioid prescriptions, higher predicted risk for dangerous morphine dosage, opioid overdose, and opioid use disorder, controlling for number of prescribers and other variables. Moreover, as a patient's prominence increases over time, so does their risk for these outcomes, compared to their own average level of risk. Results highlight the importance of co-prescription networks in characterizing high-risk social dynamics.
Analysis of the design alternatives for Deaf patient-doctor discussion on self-management and question and answer (Q&A) session
<p>This analysis contributed the findings regarding the design alternatives for Deaf patient-doctor discussion on self-management and question and answer (Q&A) session to Co-evaluation Activity 3. These findings were used to improve Deaf-friendly mobile interfaces.</p>
Bits x la Marató: Looking for similar patients: the AI Doctor House conquers severe COVID-19!
<p>Clinical case reports for the task Looking for similar patients: the AI Doctor House conquers severe COVID-19! at the event Bits x la Marató: https://www.fib.upc.edu/en/la-marato</p> <p> </p> <p>There is a pressing need by healthcare professionals to access information relevant to clinical practice in a more effective way. Over 80% of clinically relevant data is essentially unstructured, mainly images like MRI and clinical texts.</p> <p>One of the challenges faced by doctors is finding patients and clinical cases that show particular similarities to a given case (similar symptoms, diagnosis, treatments, or other characteristics) amongst the rapidly growing amount of clinical records and medical publications and the complexity of the data. Detection of similarities among patients or groups of patients is key for evidence-based clinical practice, the selection of patients for clinical trials, prioritizing patients for vaccination and for understanding the variability in clinical outcomes.</p> <p>From a COVID-19 point of view, AI tools should distinguish between patients with and with no risk of a severe outcome, so that clinicians could intervene promptly. <strong>Specifically, this task aims to promote the development of systems able to detect similarities among a collection of clinical case texts.</strong></p> <p> </p> <p><strong>Technology point of view:</strong></p> <p>The objective is to be able to compute and measure similarity between patients represented by their clinical case, that is, the text describing their medical condition, previous morbidities, medical tests and treatments performed, diagnosis or outcome. This very complex scenario can in principle be approached by a diversity of methodologies ranging from text similarity techniques used to detect plagiarism, clinical concept detection, or even more advanced semantic textual similarity strategies dealing with the meaning of natural language through AI.</p> <p> </p> <p><strong>Healthcare point of view:</strong></p> <p>Access to medically relevant information hidden in clinical texts is one of the principal challenges for healthcare professionals in the AI digital age. Questions such as which are the symptoms of patients with a worse outcome, given similar comorbidities, medications or procedures are very difficult to answer without systematically processing clinical texts. Even simpler, epidemiological questions like how many days have passed before COVID-19 symptoms started or if patients had travelled to certain geographical areas can only be answered efficiently by means of computational tools. Similarities between patients can aid prognosis, diagnosis and decision making, saving vital time to healthcare practitioners.</p> <p> </p> <p>If you need some help, <a href="https://medium.com/@adriensieg/text-similarities-da019229c894">here</a> is a helpful resource that will help you get started.</p> <p> </p> <p><a href="https://www.youtube.com/playlist?list=PL5uSCzf1azhBeVCHyswazImBNpIW8gYTD">YouTube playlist with our session at BITSXLAMARATÓ</a></p>
11th Doctor's Sonic
Screen accurate replica of eleventh Doctor's sonic. Source: Objaverse 1.0 / Sketchfab
Supplementary Data for Doctoral Thesis
<p>This repository contains the Supplementary Data for the doctoral thesis chapters 2, 3, 4 and 7.</p> <p>Chapter 2 - Supplementary Tables S1 - S4</p> <p>Wolfram-Schauerte M*, Pozhydaieva N*, Viering M, Glatter T, Höfer K. Integrated Omics Reveal Time-Resolved Insights into T4 Phage Infection of E. coli on Proteome and Transcriptome Levels. Viruses. 2022 Nov 12;14(11):2502. doi: 10.3390/v14112502. PMID: 36423111. </p> <p>Chapter 3 - Supplementary Tables S6 - S10</p> <p>Wolfram-Schauerte M, Moskalchuk A, Pozhydaieva N, Ramírez Rojas AA, Schindler D, Kaiser S, Paczia N, Höfer K. T4 phage RNA is NAD-capped and alters the NAD-cap epitranscriptome of Escherichia coli during infection through a phage-encoded decapping enzyme. bioRxiv. 2024. doi: 10.1101/2024.04.04.588121.</p> <p>Chapter 4 - Supplementary Figure 1 and Supplementary Tables 1 - 6</p> <p>Wolfram-Schauerte M*, Pozhydaieva N, Grawenhoff J, Welp LM, Silbern I, Wulf A, Billau FA, Glatter T, Urlaub H, Jäschke A, Höfer K*. A viral ADP-ribosyltransferase attaches RNA chains to host proteins. Nature. 2023 Aug;620(7976):1054-1062. doi: 10.1038/s41586-023-06429-2. Epub 2023 Aug 16. PMID: 37587340.</p> <p>Chapter 7 - Supplementary Table 1</p> <p>Pozhydaieva N*, Wolfram-Schauerte M*, Keuthen H, Höfer K. The enigmatic epitranscriptome of bacteriophages: putative RNA modifications in viral infections. Curr Opin Microbiol. 2024 Feb;77:102417. doi: 10.1016/j.mib.2023.102417. Epub 2024 Jan 13. PMID: 38217927.</p>
Set de Datos 1: Capitulo 1; Tesis Doctoral Javier Maximiliano Cordier
<p>Set de datos 1: Conjunto de estudios incluidos en el presente meta-analisis. Tomado de Cordier et. al., 2021-a</p>
Death And Madame. Ghosting the Doctor in Burneyland
<p>Long version of the presentation I am going to give at the Burney conference in London (June 2022).</p> <p> </p> <p>This research is part of the Horizon 2020 project called "Opening Romanticism: Reimagining Romantic Drama for New Audiences"(OpeRaNew) ID 892230 within the ERC programme Horizon 2020 MSCA-IF-2019. The PI is Francesca Saggini. See CORDIS website at <a href="https://cordis.europa.eu/project/id/892230">https://cordis.europa.eu/project/id/892230</a></p>
Supplementary data for the doctoral thesis "Graph decomposition techniques for quantum spin systems with multi-spin interactions"
<p>This upload contains data for the doctoral thesis of Matthias Mühlhauser with the title "Graph decomposition techniques for quantum spin systems with multi-spin interactions". <br>This doctoral thesis has been written at Friedrich-Alexander-Universität Erlangen-Nürnberg under the supervision of Professor Kai P. Schmidt.</p> <p>The given folders contain: </p> <p>XC-HPF.zip:<br> The series expansion about the high-field limit of the X-Cube model in a general parallel field.<br> <br>NLCE-TFIM-LF.zip:<br> The NLCE data for the TFIM in the low-field limit on the triangular and on the square lattice.<br><br>All folders contain a file README.txt explaining the provided data.</p>
SESIÓN EN VIVO: LA CIENCIA Y SUS TENSIONES. ¿UN NUEVO CONTRATO SOCIAL? Doctor Hernán Jaramillo Salazar, Prof
<p>SESIÓN EN VIVO: LA CIENCIA Y SUS TENSIONES. ¿UN NUEVO CONTRATO SOCIAL? Doctor Hernán Jaramillo Salazar, Prof</p> <p>Presentación </p> <div> <div> <div> <div> <p>el concepto de un "nuevo contrato social de la ciencia", surgido de la Conferencia Mundial de la Ciencia en Budapest, que plantea una mayor vinculación de la investigación científica con las necesidades sociales. Se menciona la transición de la producción científica tradicional (modo 1), que se centra en disciplinas individuales y universidades, a una nueva forma (modo 2), que busca resolver problemas multidisciplinarios aplicando el conocimiento a situaciones concretas. Este cambio exige que los países en desarrollo combinen ambos enfoques, adaptándose a las nuevas demandas sociales y económicas, mientras mantienen altos estándares de calidad científica.</p> </div> </div> </div> </div> <p>Hernán Jaramillo Salazar & Manuel Rey, 2003. "<strong><a href="https://ideas.repec.org/p/col/000091/002947.html">La ciencia y sus tensiones: ¿un nuevo contrato social de la ciencia?</a></strong>," <a href="https://ideas.repec.org/s/col/000091.html">Borradores de Investigación</a> 2947, Universidad del Rosario. https://repository.urosario.edu.co/server/api/core/bitstreams/4fd8c77e-19c9-4332-8f01-cc78f38b3001/content </p>
Does the white coat influence satisfaction, trust and empathy in the doctor-patient relationship in the general and family medicine consultation? - interventional study
<p>Objectives: To understand the influence of the white coat on patient satisfaction, opinions about medical clothing, perception about confidence, empathy and medical knowledge and the satisfaction and comfort level of physicians in consultation.</p> <p>Setting: An interventional study was conducted with a representative sample of the population attending primary care in central Portugal.</p> <p>Participants: The sample was composed by 286 patients divided into two groups exposed or not to a doctor wearing a white coat. The first and last patients in consultation every day for 10 consecutive days were included.</p> <p>Interventions: Every other day the volunteer physicians consulted with or without the use of a white coat. At the end of the consultation, a questionnaire was distributed to the patient with simple questions with a Likert scale response, the Portuguese version of the "Trust in physician" scale and the JSPPPE-VP scale. A questionnaire was also distributed to the physician.</p> <p>Outcomes: Planned and measured primary outcomes were patient satisfaction, trust and perception about empathy and secondary outcomes were opinion about medical clothing, satisfaction and comfort level of physicians in consultation.</p> <p>Results: The sample was homogeneous in terms of sociodemographic variables. There were no statistically significant differences between the groups in terms of satisfaction, trust, empathy and knowledge perceived by the patients. There were differences in the opinion of the patients about the white coat, and when the physician was wearing the white coat this group of patients tended to think that this was the only acceptable attire for the physician (p<0.001). But, when the family physician was in consultation without the white coat, this group of patients tended to agree that communication was easier (p=0.001).</p> <p>Conclusions: There was no significant impact of the white coat in patient satisfaction, empathy, and confidence in the family physician.</p> <p>Trial Registration: ClinicalTrials.gov</p> <p>ID Number: NCT03965416</p>
MATRIZ DE MARCO TEÓRICO, para el diseño del Test MOTIC y las entrevistas dialógicas, diseño de Claudia Vaca guiado por su director doctoral Dr. Marcelo Careaga Butter, años 2020 al 2021.
<p>MATRIZ DE MARCO TEÓRICO, para el diseño del Test MOTIC y las entrevistas dialógicas, diseño de Claudia Vaca guiado por su director doctoral Dr. Marcelo Careaga Butter, años 2020 al 2021.</p>
Information Literacy Instruction Provided by Librarians Across the Doctor of Pharmacy Curriculum in the United States.
<p>These are the results of the survey administered in Spring 2023.</p>
The Effect of Dream Doctors in Children Undergoing Digestive Endoscopic Procedures
ClinicalTrials.gov study NCT02668679. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Survey Study About Endoscopy During COVID-19 Pandemic for IBD Doctors
ClinicalTrials.gov study NCT04970849. IPD Sharing: YES. Countries: 1. Publications: 1.
Test 2 Treat: Can we Improve the Testing and Treatment of High Cholesterol in Patients Who Have Been Hospitalized for a Cardiac Event by Providing Education to Doctors and Patients?
ClinicalTrials.gov study NCT06471036. IPD Sharing: NO. Countries: 1. Publications: 7.
Can TElemedicine System Replace Doctor Consultations to Achieve Non-inferior Blood Pressure in Patients With Controlled Hypertension
ClinicalTrials.gov study NCT06524180. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
A Closed Loop, Doctor to Patient, Mobile Application for Depression in People With Multiple Sclerosis
ClinicalTrials.gov study NCT05865405. IPD Sharing: YES. Countries: 1. Publications: 2.
A Vignette-based Randomized Controlled Trial to Evaluate the Impact of Research Climate on Research Practices of Doctoral Students
ClinicalTrials.gov study NCT04263805. IPD Sharing: NO. Countries: 1. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.