2,217 research outputs found

    Sensitivity analysis of impact model for road freight by the increase in the use of larger trucks in Spain

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    This study develops an impact model for road freight transport and aims to analyse the sensitivity of the results to the model parameters. Scenarios are simulated to study the effect of this model on road freight transport operations. The model and the methodology are applied to the sampling data from the permanent road freight survey of the Spanish Ministry of Transport. According to the results, the optimum parameter values or ranges are recommended, and the assumptions involved in the impact estimates are justified. Finally, the model is also proposed to apply and extended to a large logistic network. Estimates and projections presented in this study are based on the level of shift of goods for the larger trucks, the modal shift from the railway, and the elasticity demand for road freight transport as a result of lower transport operation costs. The results of this study show that, considering the effects of induced truck traffic and the shift of goods from rail to road, increasing the weight limits for trucks produces slight benefits

    Technological profile of nursing students: an essential requirement for this new era

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    With this study the students of nursing are empowered to establishment the necessary understanding of the skills used in technology; helping them develop a roadmap for the effective integration of technology in the classroom. The article summarizes the findings about the means of access to information and communication technologies (ICTs) and their use for academic purposes performed by the students of the Nursing Department at the University of Puerto Rico at Humacao. The study identifies the perception that students have of the professors and the uses that they give to technology in their courses. Methodology: Cross-sectional study, a digital questionnaire was administered to students admitted to the nursing program. Three dimensions were defined: access to services, perception of teachers to new media and information skills of students. These dimensions were set according to the literature review and indicators of the accrediting agency. Results: The findings show that students have access to mobile devices, which represent their main method of connecting to the Internet and social networks; as well as the beneficial use of these devices in the classroom. Discussion: The results establish a profile of the relationship of students with ICT and contributes to the decision-making process that allows continuing efforts to effectively integrate ICT curriculum level in the classroom. Keywords: technologies, students, information skills, mobile devices, digital environment

    Strategic planning research through fifty years of Long Range Planning: a bibliometric overview

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    Long Range Planning (LRP) is the first journal focused on strategic planning. It was created in 1968 by the Long Range Planning Society, and it celebrated its 50th anniversary in 2018. This event led to the presentation of a complete bibliometric study aimed at identifying the most significant results that occurred in the journal during this period. For this purpose, bibliometric data were collected from the Web of Science Core Collection database, and two bibliometric approaches were used to analyze the journal's publications: a performance analysis and a graphical mapping of the literature. The first of these uses a wide range of productivity and influence indicators that include the number of publications and citations, the h-index, and citations by paper, among others. The second approach uses the VOSviewer software to deliver a graphical view of the various intellectual connections within LRP. The results of both bibliometric approaches are consistent and confirm LRP as a leading journal in strategic planning and management, with increasing participation of authors and universities from countries around the world

    All-Arthroscopic Triangular Fibrocartilage Complex Ligamentoplasty: Technique and Results

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    Objective The aim of the study is to describe the modified all-arthroscopic technique for triangular fibrocartilage complex (TFCC) ligamentoplasty in chronic injuries of the TFCC with distal radioulnar joint (DRUJ) instability, and to present the results obtained. Methods A prospective study was conducted including 11 consecutive patients with chronic TFCC injury with DRUJ instability who underwent an all-arthroscopic TFCC ligamentoplasty. During follow-up, the range of joint motion, grip strength, pain according to the visual analog scale (VAS), functional outcomes according to the Mayo Wrist Score (MWS), and the QuickDASH Score were measured, and any complications and necessary reinterventions were recorded Results We analyzed 11 patients with distal radioulnar ligament injury treated using the all-arthroscopic ligamentoplasty technique. Mean follow-up was 31.5 4.4 (range 12–58) months. The technique presented achieved DRUJ stability in 100% of cases at 12 months. Grip strength and pain, showed a statistically significant improvement between the preoperative score and the two postoperative assessments. Functional assessment using the QuickDASH score and the MWS also improved significantly. Conclusion The all-arthroscopic technique for the reconstruction of irreparable peripheral TFCC tears is a reliable technique, intended not only to minimize the surgical trauma to reduce postoperative pain and to facilitate rehabilitation, but also to improve both the quality of the reconstruction and the functional outcome.Medicin

    Industrial districts and migrant enclaves : a model of interaction

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    So far, the relationship between Industrial Districts (IDs; clusters of interconnected local industries) and migrant enclaves (areas with a high concentration of international migrants from a single nationality) has been studied mostly by focusing on the emergence of 'ethnic enclave economies' within the district and/or by highlighting racist conflicts that achieved notoriety in the media. In this study, we contend that there is a more general and complex interaction between the two phenomena. This interaction is mediated by the local context, national regulations, and the organization of the international market, among other factors. By focusing on the case of the ceramic ID of Castelló de la Plana (Spain), we show how this ID with a high rate of job formality, combined with other job opportunities and a unique 'institutional completeness', set up the conditions for a non-conflictive Romanian migrant enclave that reached 14% of the town's total population in 2012. Finally, and also considering another case study of ID and migrant enclave (Prato, and its Chinese enclave), we suggest a model of interaction that should be interpreted taking into account the general dynamics of the international organization of value and the requirements of flexibility and reduction of costs that frame ID

    A first approach to the multipurpose relational database server

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    In this paper, an architecture and an implementation of a multipurpose relational database server are proposed. This architecture enables classical queries to be executed, deductions to be made, and data mining operations to be performed on fuzzy or classical data. The proposal of this integration is to combine several ways of querying different types of data. In order to achieve this, a combination of existing metaknowledge bases and new data catalog elements is presented. We also introduce a language for handling all these data coherently and uniformly on the basis of classical SQL sentences

    Colaboración en ciencia-tecnología entre España/Unión Europea y América Latina. Tendencias en biotecnología, ciencia de los alimentos y nanomateriales

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    A partir de un estudio de dos oleadas de las colaboraciones internacionales en patentes y artículos científicos entre instituciones de los países del Mercosur (más México y Chile) y países de la Unión Europea en los campos de biotecnología, ciencia de los alimentos y nanomateriales, ha sido posible identificar el rápido crecimiento de la colaboración en biotecnología, la emergencia del campo de nanomateriales en México y Brasil y el estancamiento de la colaboración en investigación en ciencias de los alimentos en ese período. México, Brasil y en menor medida Argentina, son los países líderes en esos campos, aunque Chile es un país activo en colaboraciones internacionales. A pesar que España es un importante actor en la estructura de colaboración, todavía no existe un patrón estable de colaboración entre Universidades e instituciones de investigación entre ambas partes.On the basis of a longitudinal study of international collaborations in patents and scientific articles between countries of Mercosur (plus Mexico and Chile) and countries from the European Union in the fields of biotechnology, food science and nanomaterials, it was possible to assess the fast growth of biotechnology, the emergence of nanomaterials in Mexico and Brazil and the stagnation of food science in the period. Mexico, Brazil and to a lesser degree Argentina are the leading countries, whereas Chile is relatively very active internationally as well. Although Spain is an important actor in the structure of collaboration, there is still not a stable institutional frame of collaboration among Universities and research institutes of both sides

    Subphenotyping of Mexican Patients With COVID-19 at Preadmission To Anticipate Severity Stratification: Age-Sex Unbiased Meta-Clustering Technique

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    [EN] Background: The COVID-19 pandemic has led to an unprecedented global health care challenge for both medical institutions and researchers. Recognizing different COVID-19 subphenotypes-the division of populations of patients into more meaningful subgroups driven by clinical features-and their severity characterization may assist clinicians during the clinical course, the vaccination process, research efforts, the surveillance system, and the allocation of limited resources. Objective: We aimed to discover age-sex unbiased COVID-19 patient subphenotypes based on easily available phenotypical data before admission, such as pre-existing comorbidities, lifestyle habits, and demographic features, to study the potential early severity stratification capabilities of the discovered subgroups through characterizing their severity patterns, including prognostic, intensive care unit (ICU), and morbimortality outcomes. Methods: We used the Mexican Government COVID-19 open data, including 778,692 SARS-CoV-2 population-based patient-level data as of September 2020. We applied a meta-clustering technique that consists of a 2-stage clustering approach combining dimensionality reduction (ie, principal components analysis and multiple correspondence analysis) and hierarchical clustering using the Ward minimum variance method with Euclidean squared distance. Results: In the independent age-sex clustering analyses, 56 clusters supported 11 clinically distinguishable meta-clusters (MCs). MCs 1-3 showed high recovery rates (90.27%-95.22%), including healthy patients of all ages, children with comorbidities and priority in receiving medical resources (ie, higher rates of hospitalization, intubation, and ICU admission) compared with other adult subgroups that have similar conditions, and young obese smokers. MCs 4-5 showed moderate recovery rates (81.30%-82.81%), including patients with hypertension or diabetes of all ages and obese patients with pneumonia, hypertension, and diabetes. MCs 6-11 showed low recovery rates (53.96%-66.94%), including immunosuppressed patients with high comorbidity rates, patients with chronic kidney disease with a poor survival length and probability of recovery, older smokers with chronic obstructive pulmonary disease, older adults with severe diabetes and hypertension, and the oldest obese smokers with chronic obstructive pulmonary disease and mild cardiovascular disease. Group outcomes conformed to the recent literature on dedicated age-sex groups. Mexican states and several types of clinical institutions showed relevant heterogeneity regarding severity, potentially linked to socioeconomic or health inequalities. Conclusions: The proposed 2-stage cluster analysis methodology produced a discriminative characterization of the sample and explainability over age and sex. These results can potentially help in understanding the clinical patient and their stratification for automated early triage before further tests and laboratory results are available and even in locations where additional tests are not available or to help decide resource allocation among vulnerable subgroups such as to prioritize vaccination or treatments.We sincerely thank the different types of clinical institutions and the Mexican government, which made a huge effort to make these data publicly available. We also thank the clinicians and epidemiologists from the Servicios de Salud de Nayarit for the useful discussions on specific aspects of the medical attention to hospitalized patients and the reporting of epidemiological data processes related to COVID-19. Furthermore, we would also like to thank Francisco Tomas Garcia Ruiz for his valuable help in data visualization design. This work was supported by Universitat Politecnica de Valencia contract no. UPV-SUB.2-1302 and FONDO SUPERA COVID-19 by CRUE-Santander Bank grant: "Severity Subgroup Discovery and Classification on COVID-19 Real World Data through Machine Learning and Data Quality assessment (SUBCOVERWD-19) ." The authors thank the Institute for Information and Communication Technologies (ITACA) at the Universitat Politecnica de Valencia for its support in the publication of this manuscript.Zhou, L.; Romero-Garcia, N.; Martínez-Miranda, J.; Conejero, JA.; Garcia-Gomez, JM.; Sáez Silvestre, C. (2022). Subphenotyping of Mexican Patients With COVID-19 at Preadmission To Anticipate Severity Stratification: Age-Sex Unbiased Meta-Clustering Technique. JMIR Public Health and Surveillance. 8(3):1-21. https://doi.org/10.2196/300321218

    Non-commutative integrable systems on bb-symplectic manifolds

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    In this paper we study non-commutative integrable systems on bb-Poisson manifolds. One important source of examples (and motivation) of such systems comes from considering non-commutative systems on manifolds with boundary having the right asymptotics on the boundary. In this paper we describe this and other examples and we prove an action-angle theorem for non-commutative integrable systems on a bb-symplectic manifold in a neighbourhood of a Liouville torus inside the critical set of the Poisson structure associated to the bb-symplectic structure
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