The Renewable Energy In A Led Standalone Streetlight

This work deals with the design of a standalone streetlight provided with a solar panel and a multiple vertical axis wind turbine (VAWT) along the structure. A prototype was built and is currently being tested in the Monte Dago campus of the Università Politecnica delle Marche. The ongoing focus of the project is to improve the overall efficiency and the manufacturing details for the industrialization. A battery bank allows delaying the energy delivering from the energy production, while a central process unit on board collects the data from every component in the equipment. This unit allows to monitor the day-by-day efficiency of the energy-lighting system, and to send the information wirelessly with the purpose of integrating into a smart grid-like management platform. The test site includes a meteorological mast, which can measure the weather conditions, such as wind speed and solar radiation. The wind turbines included in the streetlight have been studied from an aerodynamic point of view through an extensive experimental analysis in the wind tunnel. Moreover, the structural design of the wind rotors was carried out together with the security system including a mechanical brake, which prevents the damage of the components during high wind speed conditions. The control of the hybrid energy unit, designed to track the optimal performance, has been analyzed throughout the local wind conditions. Also, it is discussed the effectiveness of this streetlight concept in various climate situations

Stripsody: la vocazione musicale delle strisce a fumetti.

Part I \u2013 Stripsody. La vocazione musicale delle strisce a fumetti Costruita usando i suoni dei fumetti, Stripsody di Cathy Berberian \ue8 una composizione che ci pone di fronte a interrogativi fondanti sullo statuto che essi assumono all\u2019interno di quello che, a prima vista, sembra essere un universo silente. I suoni delle strisce disegnate sono tutti dello stesso tipo? Che rapporto intrattengono con le cose sonore che li producono? \uc8 lecito eseguirli? Cosa succede quando lo facciamo? Queste ed altre le domande intorno alle quali si sviluppa questo breve eBook. Il percorso seguito coinvolge discipline quali la semiotica, la filosofia del linguaggio, la linguistica, la filosofia della musica. L\u2019intento \ue8 quello di attribuire ad un\u2019opera, spesso dimenticata, un valore che va oltre la sua forza dissacrante, per gettare una nuova luce sulla musica e sui fumetti. Part II \u2013 Berberian\u2019s Stripsody and Comics Musical Vocation Stripsody is a composition which Cathy Berberian wrote using sonic material derived from comic-strips. This opera puzzles us with many crucial questions on the role played by onomatopoeic sounds in comics\u2019 silent world. Are they all alike? What kind of relation they entertain with the objects which produce them? Do we have to perform them? And if yes what happen when we do it? These are the issues tackled in this eBook and Semiotics, Philosophy of Language, Linguistics, Philosophy of Music are some of the approaches used to investigate them. The aim will be to attribute a value to this composition that is not merely linked to its desecrating impact, and that throws a new light both on music and comix

Evaluation of generative modeling techniques for frequency responses

During microwave design, it is of practical interest to obtain insight in the statistical variability of a device’s frequency response with respect to several sources of variation. Unfortunately, the frequency response acquisition can be particularly time-consuming or expensive. This makes uncertainty quantification unfeasible when dealing with complex networks. Generative modeling techniques that are based on machine learning can reduce the computation load by learning the underlying stochastic process from few instances of the device response and generating new ones by executing an inexpensive sampling strategy. This way, an arbitrary number of frequency responses can be obtained that are drawn from a probability distribution that resembles the original one. The use of Gaussian Process Latent Variable Models (GP-LVM) and Variational Autoencoders (VAE) as modeling algorithms will be evaluated in a generative framework. The framework includes a Vector Fitting (VF) pre-processing step which guarantees stability and reciprocity of S-matrices by converting them into a suitable rational model. Both GP-LVM and VAE are tested on the S-parameter responses of two linear multi-port network examples

Clima laboral en un organismo público

El propósito de este trabajo, Clima Laboral, es conocer el ambiente de una institución, en este caso el Hospital Regional Diego Paroissien, en un momento dado. Se trata de obtener el conocimiento interno del mismo y posibilitar a los empleados canalizar sus opiniones a través de las respuestas que manifiestan en la encuesta de clima. El mero hecho de permitir expresar las opiniones en cada una de las áreas y saber que éstas van a ser tenidas en cuenta genera expectativas en los empleados, por lo que es importante tomar medidas de mejora. El motivo por el cual se realizó esta investigación de clima laboral, se debe a la influencia que éste ejerce sobre el comportamiento de los empleados. El no contar con este conocimiento puede incidir negativamente en la productividad, motivación, satisfacción en el trabajo, etc. Se hace necesario reflexionar y priorizar la calidad de vida de la gente que trabaja en las organizaciones, ya que poco aporta un empleado frustrado, o que tenga resentimiento contra su jefe o lugar de trabajo. Un clima bien estructurado y con un perfil satisfactorio puede hacer que una organización sea exitosa. Ésta será valorada por los empleados que la conforman con agrado, compromiso y satisfacción.Fil: Garbuglia, Silvia Carolina. Universidad Nacional de Cuyo. Facultad de Ciencias Económicas

Hepatitis B Virus and microRNAs: A Bioinformatics Approach

In recent decades, microRNAs (miRNAs) have emerged as key regulators of gene expression, and the identification of viral miRNAs (v-miRNAs) within some viruses, including hepatitis B virus (HBV), has attracted significant attention. HBV infections often progress to chronic states (CHB) and may induce fibrosis/cirrhosis and hepatocellular carcinoma (HCC). The presence of HBV can dysregulate host miRNA expression, influencing several biological pathways, such as apoptosis, innate and immune response, viral replication, and pathogenesis. Consequently, miRNAs are considered a promising biomarker for diagnostic, prognostic, and treatment response. The dynamics of miRNAs during HBV infection are multifaceted, influenced by host variability and miRNA interactions. Given the ability of miRNAs to target multiple messenger RNA (mRNA), understanding the viral–host (human) interplay is complex but essential to develop novel clinical applications. Therefore, bioinformatics can help to analyze, identify, and interpret a vast amount of miRNA data. This review explores the bioinformatics tools available for viral and host miRNA research. Moreover, we introduce a brief overview focusing on the role of miRNAs during HBV infection. In this way, this review aims to help the selection of the most appropriate bioinformatics tools based on requirements and research goals

A large ongoing outbreak of hepatitis A predominantly affecting young males in Lazio, Italy; August 2016 - March 2017

The hepatitis A virus (HAV) is mainly transmitted through the faecal-oral route. In industrialized countries HAV infection generally occurs as either sporadic cases in travelers from endemic areas, local outbreak within closed/semi-closed population and as foodborne community outbreak. Recently, an increasing number of HAV infection clusters have been reported among young men-who-have-sex-with-men (MSM). The Lazio Regional Service for the epidemiology and control for infectious diseases (SeRESMI) has noticed an increase of acute hepatitis A (AHA) since September 2016. Temporal analysis carried out with a discrete Poisson model using surveillance data between January 2016 and March 2017 evidenced an ongoing outbreak of AHA that started at the end of August. Molecular investigation carried out on 130 out of 513 cases AHA reported until March 2017 suggests that this outbreak is mainly supported by an HAV variant which is currently spreading within MSM communities across Europe (VRD_521_2016). The report confirms that AHA is an emerging issue among MSM. In addition through the integration of standard (case based) surveillance with molecular investigation we could discriminate, temporally concomitant but epidemiologically unrelated, clusters due to different HAV variants. As suggested by the WHO, in countries with low HAV circulation, vaccination programmes should be tailored on the local epidemiological patterns to prevent outbreaks among high risk groups and eventual spillover of the infection in the general population

From principles to practices: Open Science at Europe’s universities. 2020-2021 EUA Open Science Survey results

This report presents the outcomes of the 2020-2021 EUA Open Science Survey and provides evidencebased recommendations for institutions, researchers, research funders and policymakers on the transition towards Open Science. The 2020-2021 EUA Open Science Survey focused on the level of development of Open Science in Europe‘s universities, addressing the role of Open Science in institutions’ strategic priorities and its implementation in institutional practices. In addition, the survey transversally addressed both the established (Open Access, research data) and emerging (e.g. citizen science, open education) fields of Open Science. This survey was open to all interested European higher academic institutions from October 2020 until January 2021, having gathered a total of 272 valid responses from institutions in 36 European countries. Most of the sample are comprehensive institutions (64%), followed by specialist (e.g. medical sciences, music, art schools) and technical universities, which both represent 13% of the sample. The full anonymised dataset of the survey is available in the Open Access repository Zenodo

Viral Oncogenesis: Synergistic Role of Genome Integration and Persistence

Persistence is a strategy used by many viruses to evade eradication by the immune system, ensuring their permanence and transmission within the host and optimizing viral fitness. During persistence, viruses can trigger various phenomena, including target organ damage, mainly due to an inflammatory state induced by infection, as well as cell proliferation and/or immortalization. In addition to immune evasion and chronic inflammation, factors contributing to viral persistence include low-level viral replication, the accumulation of viral mutants, and, most importantly, maintenance of the viral genome and reliance on viral oncoprotein production. This review focuses on the process of genome integration, which may occur at different stages of infection (e.g., HBV), during the chronic phase of infection (e.g., HPV, EBV), or as an essential part of the viral life cycle, as seen in retroviruses (HIV, HTLV-1). It also explores the close relationship between integration, persistence, and oncogenesis. Several models have been proposed to describe the genome integration process, including non-homologous recombination, looping, and microhomology models. Integration can occur either randomly or at specific genomic sites, often leading to genome destabilization. In some cases, integration results in the loss of genomic regions or impairs the regulation of oncogene and/or oncosuppressor expression, contributing to tumor development

Spillover: Mechanisms, Genetic Barriers, and the Role of Reservoirs in Emerging Pathogens

: Viral spillover represents the transmission of pathogen viruses from one species to another that can give rise to an outbreak. It is a critical concept that has gained increasing attention, particularly after the SARS-CoV-2 pandemic. However, the term is often used inaccurately to describe events that do not meet the true definition of spillover. This review aims to clarify the proper use of the term and provides a detailed analysis of the mechanisms driving zoonotic spillover, with a focus on the genetic and environmental factors that enable viruses to adapt to new hosts. Key topics include viral genetic variability in reservoir species, biological barriers to cross-species transmission, and the factors that influence viral adaptation and spread in novel hosts. The review also examines the role of evolutionary processes such as mutation and epistasis, alongside ecological conditions that facilitate the emergence of new pathogens. Ultimately, it underscores the need for more accurate predictive models and improved surveillance to better anticipate and mitigate future spillover events