Perspectives and possibilities of telehealth medical consultations in primary care practices

Telemedicine solutions have a rising importance in health systems, on the improvement of access to care and the provision of healthcare services. The COVID-19 pandemic increased its usage, as teleconsultations could help reduce the spread of the virus, however, this should be looked at as a long-term solution, since technology is increasingly present in healthcare. This thesis aims to assess the awareness and perspectives of patients regarding video-teleconsultations, and the possibility of this solution being present in Portuguese primary health care, substituting in-person consultations. Combining evidence from literature and a sample of Portuguese patients, it was possible to analyse video-teleconsultations and non-video-teleconsultations. Patients’ awareness on the videoteleconsultations was high (81,4% of the sample), and influenced by levels of education and income, differing from the general lack of awareness described in several studies. However, the need for more focused awareness campaigns was identified, which was in accordance with literature reviewed. Non-video-teleconsultations had higher levels of awareness and use, when compared to video-teleconsultations, similar to previous studies. Finally, physical interventions, consultations’ purpose, hardware availability and quality and value’s perception of teleconsultations had a significantly influence on the patients’ opinion about the possibility of substitution of in-person consultations for this video-teleconsultations. However, demographic characteristics did not affect, which may be due to the sample size. These findings show telemedicine’s potential on the progress of the provision of care. Yet they still indicate the need for future research on patients and health professionals’ perspectives, and for strategic awareness campaigns regarding teleconsultations in primary care.A telemedicina tem um papel cada vez mais significante nos sistemas de saúde, na amplificação do acesso e melhoria da prestação de cuidados de saúde. A pandemia COVID-19 contribuiu na adoção da telemedicina, já que as teleconsultas apoiavam o objetivo da redução da propagação do vírus. No entanto, pode ser vista como uma solução a longo prazo, pois a tecnologia está cada vez mais presente na saúde. Esta tese tem como objetivo analisar o conhecimento de pacientes e suas perspetivas, sobre vídeo-teleconsultas, bem como a possibilidade de estas substituírem consultas presenciais na saúde primária em Portugal. Reunindo informação da literatura e de uma amostra de pacientes portugueses, foi possível estudar vídeo-teleconsultas e outras formas de telemedicina. O nível de conhecimento dos pacientes sobre teleconsultas nesta amostra foi elevado (81,4%), influenciado pela educação e rendimento dos pacientes, enquanto vários estudos revelaram uma geral falta de conhecimento. Contudo, ambas identificaram a necessidade de campanhas publicitárias sobre o tema. outras formas de telemedicina tiveram níveis de conhecimento e uso superiores aos das vídeoteleconsultas, como em estudos prévios. Por fim, intervenções físicas, propósito das consultas, disponibilidade de equipamento tecnológico, e perceção dos pacientes quanto ao valor e benefícios das teleconsultas, influenciaram significativamente a sua opinião na possibilidade de substituir consultas presenciais por vídeo-teleconsultas. Estas conclusões demonstram o potencial da telemedicina no progresso dos cuidados de saúde. Sugerem também a necessidade de estudos relativamente às perspetivas dos pacientes e profissionais de saúde sobre a telemedicina, bem como a necessidade de campanhas estratégicas

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Measurement of differential cross sections for top quark pair production using the lepton plus jets final state in proton-proton collisions at 13 TeV

National Science Foundation (U.S.

Particle-flow reconstruction and global event description with the CMS detector

The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8 TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

Differential cross section measurements for the production of a W boson in association with jets in proton–proton collisions at √s = 7 TeV

Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb[superscript −1]. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph + pythia and sherpa, and to next-to-leading-order calculations from BlackHat + sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.United States. Dept. of EnergyNational Science Foundation (U.S.)Alfred P. Sloan Foundatio

Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan

This paper describe development and financial performance of cooperative in District Pelalawan among 2007 - 2008. Studies on primary and secondary cooperative in 12 sub-districts. Method in this stady use performance measuring of productivity, efficiency, growth, liquidity, and solvability of cooperative. Productivity of cooperative in Pelalawan was highly but efficiency still low. Profit and income were highly, even liquidity of cooperative very high, and solvability was good

Search for stop and higgsino production using diphoton Higgs boson decays

Results are presented of a search for a "natural" supersymmetry scenario with gauge mediated symmetry breaking. It is assumed that only the supersymmetric partners of the top-quark (stop) and the Higgs boson (higgsino) are accessible. Events are examined in which there are two photons forming a Higgs boson candidate, and at least two b-quark jets. In 19.7 inverse femtobarns of proton-proton collision data at sqrt(s) = 8 TeV, recorded in the CMS experiment, no evidence of a signal is found and lower limits at the 95% confidence level are set, excluding the stop mass below 360 to 410 GeV, depending on the higgsino mass