Estação meteorológica sustentável aplicada com IOT e machine learning

Conhecimentos a respeito de históricos climáticos, bem como seus prognósticos, são utilizados por diversos segmentos acadêmicos e econômicos, dentre os quais se destacam ciências tais quais as biológicas, a agronomia, geografia, geologia, arquitetura, urbanismo e diversos outros, além de mercados tais quais o agronegócio. Outrossim, mudanças climáticas fomentam o monitoramento constante do clima e sua análise. Mediante a notória aplicação das ciências meteorológicas, cresce também o interesse por sua conexão em rede e a coleta dinâmica de suas variáveis, ajustando-se ao cenário emergente da IoT (Internet of Things) no século XXI.Mediante o exposto, foi desenvolvida uma estação meteorológica sustentável, eletricamente autônoma, de baixo custo e integrada à IoT, contando, também, com a análise inteligente de dados em escopo local. A utilização de painéis solares por parte desta corrobora para a melhor mobilidade e praticidade da estação, não requisitando a extensão de fios no meio trabalhado. Adjunto a isto, tem-se a implementação de algoritmos de Deep Learning (Aprendizagem profunda) para previsões do tempo em 24 h com acurácia média de 90,9%, representando uma alternativa disruptiva para os padrões de prognósticos climáticos e transpondo o protótipo apresentado para aplicações tanto acadêmicas quanto de agronegócio.Dentre as grandezas previstas pelo modelo apresentado, estão a temperatura do ar em bulbo seco e úmido, umidade relativa, pressão atmosférica, ponto de orvalho, índice de calor, índice de evaporação, índice pluviométrico e probabilidade de chuva. Além destas, grandezas como irradiância ultravioleta, iluminância ambiente, carga das baterias, velocidade eólica e direção dos ventos também são sensoriadas pela estação e dispostas no ambiente web do sistema desenvolvido

Controle de luminosidade com a utilização da teoria fuzzy

Com o aumento da população mundial, a demanda energética vem crescendo de maneira gradativa e constante ao longo dos anos. Com isso, o surgimento de métodos práticos e eficazes de otimização de equipamentos e processos, que utilizam energia elétrica, vem se mostrando como tendência de mercado. Dentro desse contexto, os dispositivos são projetados com intuito de realizar suas atividades no menor tempo possível e gerando uma produtividade elevada e com maior eficiência energética, tendo em vista a necessidade um controle eficiente para que não ocorra perda de performance. Entretanto, a busca por um resultado com demanda elevada, acaba tornando a modelagem dos sistemas algo complexo, onde o conhecimento das variáveis envolvidas exige atenção do projetista. A maioria dos componentes eletrônicos usados na atualidade utilizam a chamada lógica booleana ou lógica clássica, que tem suprido de maneira eficiente as necessidades existentes na área de automação e controle. Entretanto, com o objetivo de maximizar a utilização dos recursos, evitando aumentar a complexidade do sistema, o presente projeto propõe a modelagem de um sistema de controle de luminosidade que utiliza a Teoria Fuzzy. Justifica-se o uso dessa técnica pela vantagem de não ser necessário o conhecimento dos requisitos detalhados dos contextos físicos e matemáticos da planta na qual o controlador será projetado, apenas do conhecimento de especialistas da área de domínio do controle para a definição da base de regras. Dessa forma, foi desenvolvido com sucesso um controlador, que com base na luminosidade natural e ambiente, fornece para o local uma iluminância correspondente, variando conforme a necessidad

MedZEB: a new holistic approach for the deep energy retrofitting of residential buildings

The MedZEB (Mediterranean Zero Energy Building) approach aims at stimulating the market uptake of energy deep and beyond retrofitting of existing buildings of the Mediterranean. Its holistic nature implies the evaluation and integration of a range of relevant factors and the effective support to the retrofitting supply chain, also with the help of an ICT platform. Main concern of the approach are residential buildings within a framework dealing with High TRL levels and with already on the market technologies to be combined to create Med-specific cost-optimal Packages of technical Solutions, linked to a Voluntary Certification Scheme. The triggered creation of trust and information exchange will pave the way to new investments and strengthen the Med deep and beyond retrofitting network

Recurrence of iga nephropathy after kidney transplantation in adults

Background and objectives: In patients with kidney failure due to IgA nephropathy, IgA deposits can recur in a subsequent kidney transplant. The incidence, effect, and risk factors of IgA nephropathy recurrence is unclear, because most studies have been single center and sample sizes are relatively small. Design, setting, participants, & measurements: We performed a multicenter, international, retrospective study to determine the incidence, risk factors, and treatment response of recurrent IgA nephropathy after kidney transplantation. Data were collected from all consecutive patients with biopsy-proven IgA nephropathy transplanted between 2005 and 2015, across 16 “The Post-Transplant Glomerular Disease” study centers in Europe, North America, and South America. Results: Out of 504 transplant recipients with IgA nephropathy, recurrent IgA deposits were identified by kidney biopsy in 82 patients; cumulative incidence of recurrence was 23% at 15 years (95% confidence interval, 14 to 34). Multivariable Cox regression revealed a higher risk for recurrence of IgA deposits in patients with a pre-emptive kidney transplant (hazard ratio, 3.45; 95% confidence interval, 1.31 to 9.17) and in patients with preformed donorspecific antibodies (hazardratio, 2.59; 95%confidence interval, 1.09 to 6.19).Afterkidneytransplantation,development of de novo donor-specific antibodies was associated with subsequent higher risk of recurrence of IgA nephropathy (hazard ratio, 6.65; 95% confidence interval, 3.33 to 13.27). Immunosuppressive regimen was not associated with recurrent IgA nephropathy in multivariable analysis, including steroid use. Graft loss was higher in patients with recurrence of IgA nephropathy compared with patients without (hazard ratio, 3.69; 95% confidence interval, 2.04 to 6.66), resulting in 32% (95% confidence interval, 50 to 82) graft loss at 8 years after diagnosis of recurrence. Conclusions: In our international cohort, cumulative risk of IgA nephropathy recurrence increased after transplant and was associated with a 3.7-fold greater risk of graft loss

Gradual reduction of testosterone using a gonadotropin-releasing hormone vaccination delays castration resistance in a prostate cancer model

In a previous study aimed to design a novel prostate cancer vaccine, the authors of the present study demonstrated the advantage of combining the adjuvants Montanide ISA 51 with very small size proteoliposomes (VSSP) to promote a significant humoral immune response to gonadotropin‑releasing hormone (GnRH) in healthy animals. The present study compared the efficacy of this vaccine formulation versus the standard treatment currently available in terms of preventing the development of tumors in DD/S mice injected with Shionogi carcinoma (SC) 115 cells. The results demonstrated that 5 non‑vaccinated control mice exhibited a fast tumor growth, and succumbed to the disease within 19‑31 days. Mice immunized with the GnRH/Montanide ISA 51/VSSP vaccine exhibited a moderate decline in testosterone levels that was associated with a decrease in anti‑GnRH antibody titers, which lead to a sustained tumor growth inhibition. In total, 2 mice in the immunized group exhibited complete remission of the tumor for the duration of the present study. In addition, castrated mice, which were used as a control for standard hormonal therapy, exhibited an accelerated decrease in tumor size. However, tumor relapse was observed between days 50 and 54, and between days 65 and 85, following the injection of SC 155 cells. Therefore, these mice were sacrificed at day 90. The present study concludes that the slow and moderate reduction of testosterone levels observed using the GnRH‑based vaccine may delay the appearance of castration resistance in a Shionogi prostate cancer model. These findings suggest that this vaccine may be used to delay castration resistance in patients with prostate cancer.The authors would like to thank the Union for International Cancer Control (Geneva, Switzerland; grant no., YY1/09/008/2009) for the fellowship received to support the present study. The authors would also like to thank the researchers at the Trev and Joyce Deeley Research Centre (Victoria, Canada), British Columbia Cancer Research Centre (Vancouver, Canada) and University of Victoria (Victoria, Canada), particularly Professor Brad Nelson, Dr Julian Lum and Dr John Webb, for purchasing the mice and providing the laboratory facilities required to conduct the present study.http://www.spandidos-publications.com/or/2017-02-27am2016Mammal Research Institut

Report from Working Group 3: Beyond the standard model physics at the HL-LHC and HE-LHC

This is the third out of five chapters of the final report [1] of the Workshop on Physics at HL-LHC, and perspectives on HE-LHC [2]. It is devoted to the study of the potential, in the search for Beyond the Standard Model (BSM) physics, of the High Luminosity (HL) phase of the LHC, defined as $3$ ab$^{-1}$ of data taken at a centre-of-mass energy of 14 TeV, and of a possible future upgrade, the High Energy (HE) LHC, defined as $15$ ab$^{-1}$ of data at a centre-of-mass energy of 27 TeV. We consider a large variety of new physics models, both in a simplified model fashion and in a more model-dependent one. A long list of contributions from the theory and experimental (ATLAS, CMS, LHCb) communities have been collected and merged together to give a complete, wide, and consistent view of future prospects for BSM physics at the considered colliders. On top of the usual standard candles, such as supersymmetric simplified models and resonances, considered for the evaluation of future collider potentials, this report contains results on dark matter and dark sectors, long lived particles, leptoquarks, sterile neutrinos, axion-like particles, heavy scalars, vector-like quarks, and more. Particular attention is placed, especially in the study of the HL-LHC prospects, to the detector upgrades, the assessment of the future systematic uncertainties, and new experimental techniques. The general conclusion is that the HL-LHC, on top of allowing to extend the present LHC mass and coupling reach by $20-50\%$ on most new physics scenarios, will also be able to constrain, and potentially discover, new physics that is presently unconstrained. Moreover, compared to the HL-LHC, the reach in most observables will, generally more than double at the HE-LHC, which may represent a good candidate future facility for a final test of TeV-scale new physics