291 research outputs found
Robotization in Spanish firms: The impact of automation
Master in Economics: Empirical Applications and Policies. Academic Year 2022/23.Based on the studies conducted by Acemoglu, Lelarge, and Restrepo (2020) and Koch, Manuylov, and Smolka (2021), this article aims to assess the short-term impact of robot adoption on the performance of Spanish manufacturing firms. Our findings suggest that robot adoption has a significant impact on firms' total costs and total employment. On average, total costs rise 11.1% and total employment 8.6%
Few Shot Learning in Histopathological Images:Reducing the Need of Labeled Data on Biological Datasets
Although deep learning pathology diagnostic algorithms are proving comparable results with human experts in a wide variety of tasks, they still require a huge amount of well annotated data for training. Generating such extensive and well labelled datasets is time consuming and is not feasible for certain tasks and so, most of the medical datasets available are scarce in images and therefore, not enough for training. In this work we validate that the use of few shot learning techniques can transfer knowledge from a well defined source domain from Colon tissue into a more generic domain composed by Colon, Lung and Breast tissue by using very few training images. Our results show that our few-shot approach is able to obtain a balanced accuracy (BAC) of 90% with just 60 training images, even for the Lung and Breast tissues that were not present on the training set. This outperforms the finetune transfer learning approach that obtains 73% BAC with 60 images and requires 600 images to get up to 81% BAC.This study has received funding from the European
Union’s Horizon 2020 research and innovation programme
under grant agreement No. 732111 (PICCOLO project)
Supervisor trainees' and their supervisors' perceptions of attainment of knowledge and skills. An empirical evaluation of a psychotherapy supervisor training programme
Objectives. This study aimed to evaluate the success of a two-year, part-time training programme for psychotherapy supervisors. A second aim was to examine factors that might contribute to perceived knowledge and skills attainment during the training course. Design. This is a naturalistic, longitudinal study where several measures are used to examine group process and outcome. Methods. Supervisor trainees’ (n=21) and their facilitators’ (n=6) ratings of learning (knowledge and skills), relations to the supervisor and supervision group, usage of the group, and supervisor style were completed at three time points. Results. The findings suggested that both trainees and their supervisors perceived that the trainees attained a substantial amount of knowledge and skills during the course. In accordance with the literature and expectations, the regression analysis suggested a strong negative association between a strong focus on group processes in the initial and middle phases of the training and perceived knowledge and skills attainment in the final phase of the training. The expected, positive role of relations among trainees in the supervision group in the first half of the training and perceived knowledge and skills attainment in the final part of the training was obtained, whilst the hypothesized significance of the relationship between trainee and supervisor did not receive support. Conclusions The supervisory course seemed to provide a training that allowed trainees to attain knowledge and skills that are necessary for psychotherapy supervisors. The results of this pilot study also emphasize the need of more research on learning in the context of group supervision in psychotherapy
Development of a Guide to Multidimensional Needs Assessment in the Palliative Care Initial Encounter (MAP)
Técnica Delphi; Entrevista clínica; Cuidados paliativosDelphi technique; Clinical interview; Palliative careTècnica Delphi; Entrevista clínica; Cures pal·liativesContext: Ensuring patient-centered palliative care requires a comprehensive assessment of needs beginning in the initial encounter. However, there is no generally accepted guide for carrying out this multidimensional needs assessment as a first step in palliative intervention.
Objectives: To develop an expert panel-endorsed interview guide that would enable proactive and systematic Multidimensional needs Assessment in the Palliative care initial encounter (MAP).
Methods: A preliminary version of the MAP guide was drafted based on a published literature review, published semistructured interviews with 20 patients, 20 family carers, and 20 palliative care professionals, and a nominal group process with palliative care professionals and a representative of the national patient's association. Consensus regarding its content was obtained through a modified Delphi process involving a panel of palliative care physicians from across Spain.
Results: The published systematic literature review and qualitative study resulted in the identification of 55 needs, which were sorted and grouped by the nominal group. Following the Delphi process, the list of needs was reduced to 47, linked to six domains: Clinical history and medical conditions (n = 8), Physical symptoms (n = 17), Functional and cognitive status (n = 4), Psycho-emotional symptoms (n = 5), Social issues (n = 8), and Spiritual and existential concerns (n = 5).
Conclusion: MAP is an expert panel-endorsed semi-structured clinical interview guide for the comprehensive, systematic, and proactive initial assessment to efficiently assess multiple domains while adjusting to the needs of each patient. A future study will assess the feasibility of using the MAP guide within the timeframe of the palliative care initial encounter
Cross-sectional survey of the wish to die among palliative patients in Spain: one phenomenon, different experiences
Objective Cultural backgrounds and values have a decisive impact on the phenomenon of the wish to die (WTD), and examination of this in Mediterranean countries is in its early stages. The objectives of this study were to establish the prevalence of WTD and to characterise this phenomenon in our cultural context.
Methods A cross-sectional study with consecutive advanced inpatients was conducted. Data about WTD (Assessing Frequency & Extent of Desire to Die (AFFED) interview) and anxiety and depression (Edmonton Symptom Assessment System-revised (ESAS-r)) were collected through two face-to-face clinical encounters. Data were analysed with descriptive statistics, χ2 and analysis of variance.
Results 201 patients participated and 165 (82%) completed both interviews. Prevalence of WTD was 18% (36/201) in the first interview and 16% (26/165) in the second interview (p=0.25). After the first interview, no changes in depression (p=0.60) or anxiety (p=0.90) were detected. The AFFED shows different experiences within WTD: 11% of patients reported a sporadic experience, while 7% described a persistent experience. Thinking about hastening death (HD) appeared in 8 (22%) out of 36 patients with WTD: 5 (14%) out of 36 patients considered this hypothetically but would never take action, while 3 (8%) out of 36 patients had a more structured idea about HD. In this study, no relation was detected between HD and frequency of the appearance of WTD (p=0.12).
Conclusions One in five patients had WTD. Our findings suggest the existence of different experiences within the same phenomenon, defined according to frequency of appearance and intention to hasten death. A linguistically grounded model is proposed, differentiating the experiences of the ‘wish’ or ‘desire’ to die, with or without HD ideation
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NewsMeSH: a new classifier designed to annotate health news with MeSH headings
Motivation
In the age of big data, the amount of scientific information available online dwarfs the ability of current tools to support researchers in locating and securing access to the necessary materials. Well-structured open data and the smart systems that make the appropriate use of it are invaluable and can help health researchers and professionals to find the appropriate information by, e.g., configuring the monitoring of information or refining a specific query on a disease.
Methods
We present an automated text classifier approach based on the MEDLINE/MeSH thesaurus, trained on the manual annotation of more than 26 million expert-annotated scientific abstracts. The classifier was developed tailor-fit to the public health and health research domain experts, in the light of their specific challenges and needs. We have applied the proposed methodology on three specific health domains: the Coronavirus, Mental Health and Diabetes, considering the pertinence of the first, and the known relations with the other two health topics.
Results
A classifier is trained on the MEDLINE dataset that can automatically annotate text, such as scientific articles, news articles or medical reports with relevant concepts from the MeSH thesaurus.
Conclusions
The proposed text classifier shows promising results in the evaluation of health-related news. The application of the developed classifier enables the exploration of news and extraction of health-related insights, based on the MeSH thesaurus, through a similar workflow as in the usage of PubMed, with which most health researchers are familiar
OPTIMIZATION OF TISSUE SAMPLES FOR THE DEVELOPMENT AND VALIDATION OF DISEASE BIOMARKERS: THE OPTIMARK PROJECT
Europe Biobank Week, Sept 13-16, 2016. Vienna, AustriaS
In search of an evidence-based strategy for quality assessment of human tissue samples: report of the tissue Biospecimen Research Working Group of the Spanish Biobank Network
The purpose of the present work is to underline the importance of obtaining a standardized procedure to ensure and evaluate both clinical and research usability of human tissue samples. The study, which was carried out by the Biospecimen Science Working Group of the Spanish Biobank Network, is based on a general overview of the current situation about quality assurance in human tissue biospecimens. It was conducted an exhaustive review of the analytical techniques used to evaluate the quality of human tissue samples over the past 30 years, as well as their reference values if they were published, and classified them according to the biomolecules evaluated: (i) DNA, (ii) RNA, and (iii) soluble or/and fixed proteins for immunochemistry. More than 130 publications released between 1989 and 2019 were analysed, most of them reporting results focused on the analysis of tumour and biopsy samples. A quality assessment proposal with an algorithm has been developed for both frozen tissue samples and formalin-fixed paraffin-embedded (FFPE) samples, according to the expected quality of sample based on the available pre-analytical information and the experience of the participants in the Working Group. The high heterogeneity of human tissue samples and the wide number of pre-analytic factors associated to quality of samples makes it very difficult to harmonize the quality criteria. However, the proposed method to assess human tissue sample integrity and antigenicity will not only help to evaluate whether stored human tissue samples fit for the purpose of biomarker development, but will also allow to perform further studies, such as assessing the impact of different pre-analytical factors on very well characterized samples or evaluating the readjustment of tissue sample collection, processing and storing procedures. By ensuring the quality of the samples used on research, the reproducibility of scientific results will be guaranteed.This work was funded by the Ministerio de Ciencia, Innovacion y Universidades of Spain and Instituto de Salud Carlos III (PI16/00528, PI16/00946, PI16/01207 and PI16/01276), co-funded by the Spanish Biobank Network (PT13/0010/0030, PT17/0015/0001, PT17/0015/0021, PT17/0015/0049, PT17/0015/0018, PT17/0015/0002, PT17/0015/0016, PT17/0015/0038, PT17/0015/0027, PT17/0015/0004, PT17/0015/0047, PT17/0015/0014, PT17/0015/0041, and PT17/0015/0006), European Regional Development Fund (FEDER) "A way to make Europe" and granted by Conselleria d'Innovacio, Recerca i Turisme del Govern de les Illes Balears (TEC/002/2017).S
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