Processos de Gestão Estratégica Organizacional em Cooperativas Agrícolas: O Caso da COOAPRODES

This study aimed to analysis the mangament process of the agricultural cooperative in the brejo microregion of Paraíba. for reach the goal were performed the following actions: describe of the productive, financial and sales sectors; characterize the managment process to support decision making and we proposed a strategy map template for the organization. Regarding the methodological aspects, this research presentes a qualitative approach by the case study there was data collection in loco, documentary analysis and interviews quasistructured with directors and employees of the cooperative. In the analysis were considered the four dimensions of the balances scorecard beyond of the evaluation general of the tool. The results showed that the success of these organizations goes through a long monitoring process aimeding at organizational strategic planning and control. As well, the organization’s success isn’t limited to financial indicator, but also to non-financial indicators, such as internal processes, learning and growth.Este estudo teve como objetivo analisar o processo de gestão administrativa de uma cooperativa agrícola na microrregião do Brejo paraibano. Descrevendo as rotinas dos setores produtivo, financeiro e de vendas; caracterizando o processo de gestão de apoio a tomada de decisão e propondo um modelo de mapa estratégico para a organização. Quanto aos aspectos metodológicos, está pesquisa apresenta abordagem qualitativa através do estudo de caso com coleta de dados in loco com entrevistas e análise documental. Os resultados mostraram que o êxito dessas organizações passa por um processo longo monitoramento das ações visando planejamento e controle estratégico organizacional. Assim como, o sucesso da organização não se resume apenas aos indicadores financeiros, mas também os não financeiros como processos internos e aprendizado e crescimento

Virtual brain simulations reveal network-specific parameters in neurodegenerative dementias

INTRODUCTION: Neural circuit alterations lay at the core of brain physiopathology, and yet are hard to unveil in living subjects. The Virtual Brain (TVB) modeling, by exploiting structural and functional magnetic resonance imaging (MRI), yields mesoscopic parameters of connectivity and synaptic transmission. METHODS: We used TVB to simulate brain networks, which are key for human brain function, in Alzheimer's disease (AD) and frontotemporal dementia (FTD) patients, whose connectivity and synaptic parameters remain largely unknown; we then compared them to healthy controls, to reveal novel in vivo pathological hallmarks. RESULTS: The pattern of simulated parameter differed between AD and FTD, shedding light on disease-specific alterations in brain networks. Individual subjects displayed subtle differences in network parameter patterns that significantly correlated with their individual neuropsychological, clinical, and pharmacological profiles. DISCUSSION: These TVB simulations, by informing about a new personalized set of networks parameters, open new perspectives for understanding dementias mechanisms and design personalized therapeutic approaches

One-Year Outcomes after Surgical versus Transcatheter Aortic Valve Replacement with Newer Generation Devices

The superiority of transcatheter (TAVR) over surgical aortic valve replacement (SAVR) for severe aortic stenosis (AS) has not been fully demonstrated in a real-world setting. This prospective study included 5706 AS patients who underwent SAVR from 2010 to 2012 and 2989 AS patients who underwent TAVR from 2017 to 2018 from the prospective multicenter observational studies OBSERVANT I and II. Early adverse events as well as all-cause mortality, major adverse cardiac and cerebrovascular events (MACCEs), and hospital readmission due to heart failure at 1-year were investigated. Among 1008 propensity score matched pairs, TAVR was associated with significantly lower 30-day mortality (1.8 vs. 3.5%, p = 0.020), stroke (0.8 vs. 2.3%, p = 0.005), and acute kidney injury (0.6 vs. 8.2%, p < 0.001) compared to SAVR. Moderate-to-severe paravalvular regurgitation (5.9 vs. 2.0%, p < 0.001) and permanent pacemaker implantation (13.8 vs. 3.3%, p < 0.001) were more frequent after TAVR. At 1-year, TAVR was associated with lower risk of all-cause mortality (7.9 vs. 11.5%, p = 0.006), MACCE (12.0 vs. 15.8%, p = 0.011), readmission due to heart failure (10.8 vs. 15.9%, p < 0.001), and stroke (3.2 vs. 5.1%, p = 0.033) compared to SAVR. TAVR reduced 1-year mortality in the subgroups of patients aged 80 years or older (HR 0.49, 95% CI 0.33-0.71), in females (HR 0.57, 0.38-0.85), and among patients with EuroSCORE II >= 4.0% (HR 0.48, 95% CI 0.32-0.71). In a real-world setting, TAVR using new-generation devices was associated with lower rates of adverse events up to 1-year follow-up compared to SAVR

The CloudVeneto initiative: 10 years of operations to support interdisciplinary open science

CloudVeneto is a private cloud targeted to scientific communities based on OpenStack software. It was designed in 2013 and put in operation one year later, to support INFN projects, mainly HEP ones. Its resources are physically distributed among two sites: the Physics Department of University of Padova-INFN Padova Unit and the INFN Legnaro National Laboratories. During these 10 years CloudVeneto evolved to integrate also resources funded by ten Departments of the University of Padova, and to support several scientific disciplines of different domains. The use cases the communities have to face up often show a common pattern. This was an opportunity for us to develop and improve the services on our infrastructure to provide common solutions to different use cases. It happened for example with the Container as a Service (CaaS) that makes the management of Kubernetes clusters easier from a user point of view. Moreover, CloudVeneto joined the INFN national cloud infrastructure (INFN Cloud), making available some resources to this federated infrastructure. CloudVeneto is also involved in an R&D project to realize a distributed analysis facility for the CMS experiment based on the HTCondor batch system. In this paper we describe some use-cases of different projects pointing out the common patterns and the new implementations and configurations done in the infrastructure

Implementation and use of a highly available and innovative IaaS solution: the Cloud Area Padovana

While in the business world the cloud paradigm is typically implemented purchasing resources and services from third party providers (e.g. Amazon), in the scientific environment there's usually the need of on-premises IaaS infrastructures which allow efficient usage of the hardware distributed among (and owned by) different scientific administrative domains. In addition, the requirement of open source adoption has led to the choice of products like OpenStack by many organizations. We describe a use case of the Italian National Institute for Nuclear Physics (INFN) which resulted in the implementation of a unique cloud service, called ’Cloud Area Padovana’, which encompasses resources spread over two different sites: the INFN Legnaro National Laboratories and the INFN Padova division. We describe how this IaaS has been implemented, which technologies have been adopted and how services have been configured in high-availability (HA) mode. We also discuss how identity and authorization management were implemented, adopting a widely accepted standard architecture based on SAML2 and OpenID: by leveraging the versatility of those standards the integration with authentication federations like IDEM was implemented. We also discuss some other innovative developments, such as a pluggable scheduler, implemented as an extension of the native OpenStack scheduler, which allows the allocation of resources according to a fair-share based model and which provides a persistent queuing mechanism for handling user requests that can not be immediately served. Tools, technologies, procedures used to install, configure, monitor, operate this cloud service are also discussed. Finally we present some examples that show how this IaaS infrastructure is being used

Pedagogia da Alternância e(m) Etnodesenvolvimento: realidade e desafios

No presente artigo se analisa o processo de implantação da Pedagogia da Alternância no Curso de Licenciatura e Bacharelado em Etnodesenvolvimento, sediado no Campus de Altamira da Universidade Federal do Pará. De início, reflete-se sobre os aportes teóricos que fundamentam a alternância na perspectiva do etnodesenvolvimento e da interculturalidade. Posteriormente, analisa-se os ganhos educacionais obtidos com a adoção da metodologia, sobretudo no plano da relação entre teoria e prática, e conhecimentos tradicionais com conhecimentos científicos, assim como os problemas e desafios que sua adoção gera no plano administrativo e na prática docente

Chemoinformatic Database Building and in Silico Hit-Identification of Potential Multi-Targeting Bioactive Compounds Extracted from Mushroom Species

Mushrooms are widely-consumed fungi which contain natural compounds that can be used both for their nutritive and medicinal properties, i.e., taking advantage of their antimicrobial, antiviral, antitumor, anti-allergic, immunomodulation, anti-inflammatory, anti-atherogenic, hypoglycemic, hepatoprotective and antioxidant effects. Currently, scientific interest in natural compounds extracted from the fungal species is increasing because these compounds are also known to have pharmacological/biological activity. Unfortunately, however, their mechanisms of action are often unknown, not well understood or have not been investigated in their entirety. Given the poly-pharmacological properties of bioactive fungal compounds, it was decided to carry out a multi-targeted approach to predict possible interactions occurring among bioactive natural fungal extracts and several macromolecular targets that are therapeutically interesting, i.e., proteins, enzymes and nucleic acids. A chemical database of compounds extracted from both edible and no-edible mushrooms was created. This database was virtually screened against 43 macromolecular targets downloaded from the Protein Data Bank website. The aim of this work is to provide a molecular description of the main interactions involving ligand/multi-target recognition in order to understand the polypharmacological profile of the most interesting fungal extracts and to suggest a design strategy of new multi-target agents

Avaliação do Balanced Scorecard em microempresa na percepção do gestor, colaboradores e clientes

O presente trabalho traz uma pesquisa conduzida em uma microempresa varejista de alimentos localizada no município de Serraria/PB. O objetivo desse estudo foi analisar e apresentar a visão dos envolvidos (gestor, colaboradores e clientes) sobre a execução do Balanced Scorecard (BSC), após quatro anos de sua implantação. Nos aspectos metodológicos, o estudo foi de caráter intervencionista, por meio de uma pesquisa-ação, com abordagem qualitativa e quantitativa nas análises dos dados. A fonte dos dados utilizada foi de natureza primária e secundária. Os resultados mostraram que o processo dinâmico da execução do BSC, gera uma gestão da estratégia capaz de fornecer estrutura adequada à microempresa, garantindo o desenvolvimento dos serviços e engajando no esforço de planejamento do gestor, os colaboradores e apoio dos clientes. Com isso, há o aprimoramento da gestão dos processos alimentada por um articulismo entre ações executadas e o plano de comunicação ajustados dinamicamente

Subject-specific features of excitation/inhibition profiles in neurodegenerative diseases

Brain pathologies are characterized by microscopic changes in neurons and synapses that reverberate into large scale networks altering brain dynamics and functional states. An important yet unresolved issue concerns the impact of patients' excitation/inhibition profiles on neurodegenerative diseases including Alzheimer's Disease, Frontotemporal Dementia, and Amyotrophic Lateral Sclerosis. In this work, we used The Virtual Brain (TVB) simulation platform to simulate brain dynamics in healthy and neurodegenerative conditions and to extract information about the excitatory/inhibitory balance in single subjects. The brain structural and functional connectomes were extracted from 3T-MRI (Magnetic Resonance Imaging) scans and TVB nodes were represented by a Wong-Wang neural mass model endowing an explicit representation of the excitatory/inhibitory balance. Simulations were performed including both cerebral and cerebellar nodes and their structural connections to explore cerebellar impact on brain dynamics generation. The potential for clinical translation of TVB derived biophysical parameters was assessed by exploring their association with patients' cognitive performance and testing their discriminative power between clinical conditions. Our results showed that TVB biophysical parameters differed between clinical phenotypes, predicting higher global coupling and inhibition in Alzheimer's Disease and stronger N-methyl-D-aspartate (NMDA) receptor-dependent excitation in Amyotrophic Lateral Sclerosis. These physio-pathological parameters allowed us to perform an advanced analysis of patients' conditions. In backward regressions, TVB-derived parameters significantly contributed to explain the variation of neuropsychological scores and, in discriminant analysis, the combination of TVB parameters and neuropsychological scores significantly improved the discriminative power between clinical conditions. Moreover, cluster analysis provided a unique description of the excitatory/inhibitory balance in individual patients. Importantly, the integration of cerebro-cerebellar loops in simulations improved TVB predictive power, i.e., the correlation between experimental and simulated functional connectivity in all pathological conditions supporting the cerebellar role in brain function disrupted by neurodegeneration. Overall, TVB simulations reveal differences in the excitatory/inhibitory balance of individual patients that, combined with cognitive assessment, can promote the personalized diagnosis and therapy of neurodegenerative diseases