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The nZEB objectives have raised the standard of building performance and changed the way in which buildings are designed and used. Although energy dynamic simulation tools are potentially the most suitable way for accurately evaluating and forecasting the thermal performance, they need several data inputs and user's knowledge that can affect the reliability of the results. It is precisely these two aspects that proved to be particularly critical, since the reliability of the ICT calculation tools has been widely proven in recent time.However, in order to foster credibility in sustainable architecture, bridging the gap between predicted and measured performance is pivotal to boost the building market towards energy efficiency and provide reliable data to inhabitant, investors and policy maker.The present research aims to identify and quantify the main factors that affect the energy performance gap through a detailed energy analysis carried out on a case study, which can be considered one of the first nearly zero energy residential complex built in Italy. Based on the analysis, the study identifies the main causes of the deviation between the calculated and measured data and demonstrates how it is possible to achieve very reliable models and, therefore, real buildings.Although the procedure traces a classic model calibration scheme, actually it consists of a verification of possible downstream errors mainly due to human factors, such as the provision of incorrect technical data or inappropriate operation.Some observations on the technical, management and regulatory gaps that may generate these errors are reported at the end of the study, together with practical suggestions that can provide effective solutions.

Este artículo presenta los resultados de la investigación realizada en el marco de la convocatoria UNDAVCYT 2021, para proyectos bianuales con financiamiento, de la Universidad Nacional de Avellaneda (UNDAV), donde la propuesta resultó seleccionada en el primer lugar del orden de mérito de su categoría. Fue desarrollada por el equipo de docentes-investigadores de la materia Sistemas de Representación, I y II de la carrera de Arquitectura de la UNDAV. La investigación se inició en agosto del 2022, cuando ya se había vuelto a la normalidad, y el trabajo de campo se extendió hasta mayo del 2023. Se realizaron 35 entrevistas no estructuradas a profesores, docentes y estudiantes, de los talleres de Proyecto Arquitectónico de la UNDAV, de la carrera de Arquitectura del Departamento de Ciencias Aplicadas y Tecnología de la Universidad Nacional de Moreno (DCAyT UNM) –como la UNDAV, otra universidad del Bicentenario– y de la Facultad de Arquitectura Diseño y Urbanismo de la UBA, la primera escuela de arquitectura del país. Se buscó contrastar experiencias en las distintas instituciones que permitieran establecer recurrencias y singularidades, en la enseñanza de los talleres, durante este singular período de nuestra historia reciente.

Objectives: Liver transplantation (LT) is the main therapy for patients with cirrhosis or fulminant liver failure. However, there is a disproportion between the demand and availability of organs, such that the waitlist mortality ranged from 20 to 38% when the only allocation criterion was the time of inclusion on the waitlist. Brazil then adopted the Model for End-stage Liver Disease (MELD) score, aiming to prioritize patients with a higher risk of death for LT. Therefore, this study aimed to determine factors associated with waitlist time for LT. Methods: Retrospective cohort study of adult patients listed for LT from October 2012 to December 2019 in a single state in Brazil. Results: !e study analyzes 1,262 patients (869 males, 68.91%; median age, 53.33 ± 11.48 years; median waitlist time, 103.88 ± 162.05 days; median MELD Sodium [MELD-Na] score of 22.41 ± 6.09). Alcoholic liver cirrhosis (n = 369; 29.24%) and chronic viral hepatitis (n = 295; 23.38%) were the most prevalent reasons for LT. Blood groups O (n = 534; 42.31%) and A (n = 474; 37.56%) prevailed among the recipients. !e state capital and its metropolitan region accounted for 91.20% (n = 1,151) of all liver transplants performed. Most donors were deceased (n = 1,258; 99.68%). Patients with MELD-Na scores > 21 (p < 0.001), non-O blood group (p = 0.002), age < 53 years (p = 0.003), and those listed " 2017 spent # 30 days on the waitlist (p < 0.001). Conclusion: A waitlist period of # 30 days was associated with higher MELD-Na scores, younger ages, non-O blood groups, and LT listings before 2017.

Este artigo analisa a transformação geopolítica e econômica impulsionada pelo BRICS e sua expansão para o BRICS+. O BRICS, formado por economias emergentes e influenciado pelo relatório do Goldman Sachs, criou o New Development Bank (NDB) e o Arranjo de Contingente de Reservas (CRA) como alternativas ao Banco Mundial e ao FMI. A cooperação entre Rússia e China se intensificou após as sanções ocidentais e a guerra na Ucrânia. O artigo também discute a desigualdade social dentro do BRICS+ e os limites do bloco em enfrentar a Nova Ordem Mundial e o imperialismo. Conclui-se que o BRICS+ ainda opera dentro dos limites do capitalismo global, oferecendo poucas soluções substanciais para os desafios da exploração laboral e ambiental.

Background: Altered neurodevelopment is a major clinical sequela of Preterm Birth (PTB) being currently unexplored in-utero. Aims: To study the link between fetal brain functional (FbF) connectivity and preterm birth, using resting-state functional magnetic resonance imaging (rs-fMRI). Study design: Prospective single-centre cohort study. Subjects: A sample of 31 singleton pregnancies at 28–34 weeks assigned to a low PTB risk (LR) (n = 19) or high PTB risk (HR) (n = 12) group based on a) the Maternal Frailty Inventory (MaFra) for PTB risk; b) a case-specific PTB risk gradient. Methods: Fetal brain rs-fMRI was performed on 1.5T MRI scanner. First, directed causal relations representing fetal brain functional connectivity measurements were estimated using the Greedy Equivalence Search (GES) algorithm. HR vs. LR group differences were then tested with a novel ad-hoc developed Monte Carlo permutation test. Second, a MaFra-only random forest (RF) was compared against a MaFra-Neuro RF, trained by including also the most important fetal brain functional connections. Third, correlation and regression analyses were performed between MaFra-Neuro class probabilities and i) the GA at birth; ii) PTB risk gradient, iii) perinatal clinical conditions and iv) PTB below 37 weeks. Results: First, fewer fetal brain functional connections were evident in the HR group. Second, the MaFra-Neuro RF improved PTB risk prediction. Third, MaFra-Neuro class probabilities showed a significant association with: i) GA at birth; ii) PTB risk gradient, iii) perinatal clinical conditions and iv) PTB below 37 weeks. Conclusion: Fetal brain functional connectivity is a novel promising predictor of PTB, linked to maternal risk profiles, ahead of birth, and clinical markers of neurodevelopmental risk, at birth, thus potentially “connecting” different PTB phenotypes.

Entrevista com José Luis Rodrigues, Ex-Ministro de Finanças e Preços (1993 – 1995) e Ex-Ministro de Economia de Cuba (1995 – 2009).

Brazil has a diverse plant community, including underutilized non-conventional food crops (PANCs), which have the potential to be a rich source of food and contribute to food security. For assessing the folate content in a range of Brazilian PANCs, we extended the validation of an existing stable isotope dilution assay (SIDA) for the stably 13C-labelled 10-formyl-Pte[13C5]Glu (10-CHO-Pte[13C5]Glu). The SIDA method with an enzymatic treatment, purification step, and an LC–MS/MS measurement was validated regarding linearity, precision, LoD/LoQ, and recovery for 10-CHO-PteGlu. After successful validation, the study of some underutilized Brazilian non-conventional fruits and leaves from the São Paulo State University campus revealed them as an important source of folates. It provided the first insights into the folate content of unexploited food sources from Brazil. Pequi had the highest folate content among the fruits studied, with mean values of 333 μg/100 g based on fresh weight (FW). The analysis also shows that different cultivars of fruit or fruits from different growing locations have a high variability in folate content or other nutritional factors. In most fruits, the main vitamer was 5-CH3-H4folate, but jenipapo and taioba showed the highest content of 10-CHO-PteGlu with 28.22 μg/100 g (FW) in jenipapo peel and 75.64 μg/100 g (FW) in the taioba leaves. Thus, this study also provides results on the importance of the folate vitamer 10-CHO-PteGlu contributing to the total folate content.

Over the past few years, the Covid-19 pandemic has triggered an economic crisis, impacting various sectors including building construction. Within this sector, the residential section represents one of the main causes of energy consumption and pollutant emissions. To address this challenge the European Union has devised a strategic plan aimed at promoting energy efficiency and environmental sustainability, with a special focus on revitalizing the building sector. Within this strategic framework, the tax incentive Superbonus 110% introduced in 2020 has emerged as a pivotal program, incentivizing specific energy efficiency measures for existing buildings in alignment with the EU Directives. In this regard, this study aims to analyse the retrofit intervention of two existing residential buildings subsidized through the Superbonus 110% mechanism. A critical analysis of several passive and active energy efficiency measures is performed considering energy, environmental and economic indicators, employing a dynamic simulation approach. This work demonstrates how the proposed Italian funding program can enhance the diffusion of energy efficiency interventions. However, thanks to the analysis of real case studies, the criticalities and implications that such a mechanism has brought to the construction sector were highlighted, in the perspective of future incentives.

Este artigo discute o surgimento do atual regime autoritário da Hungria como resultado de um processo que se iniciou com a transformação do regime socialista de Estado e passou pelo regime pós-socialista neoliberal. Essa transformação afetou as relações entre o Estado e a classes sociais, o controle político do Estado e a configuração das relações geopolíticas da Hungria com a União Europeia, a Rússia e a China. O ensaio examina como as tensões de classe, que se formaram sob formas anteriores da política parlamentar democrática neoliberal, foram utilizadas para construir a nova hegemonia iliberal e como o regime atual suprime essas tensões para sustentar uma burguesia nacional reconstituída por meio da centralização institucional do poder político.

Abstract Non-coding micro RNAs (miRNAs) dysregulation seems to play an important role in the pathways involved in breast cancer occurrence and progression. In different studies, opposite functions may be assigned to the same miRNA, either promoting the disease or protecting from it. Our research tackles the following issues: (i) why aren’t there any concordant findings in many research studies regarding the role of miRNAs in the progression of breast cancer? (ii) could a miRNA have either an activating effect or an inhibiting one in cancer progression according to the other miRNAs with which it interacts? For this purpose, we analyse the AHUS dataset made available on the ArrayExpress platform by Haakensen et al. The breast tissue specimens were collected over 7 years between 2003 and 2009. miRNA-expression profiling was obtained for 55 invasive carcinomas and 70 normal breast tissue samples. Our statistical analysis is based on a recently developed model and feature selection technique which, instead of selecting a single model (i.e. a unique combination of miRNAs), delivers a set of models with equivalent predictive capabilities that allows to interpret and visualize the interaction of these features. As a result, we discover a set of 112 indistinguishable models (in a predictive sense) each with 4 or 5 miRNAs. Within this set, by comparing the model coefficients, we are able to identify three classes of miRNA: (i) oncogenic miRNAs; (ii) protective miRNAs; (iii) undefined miRNAs which can play both an oncogenic and a protective role according to the network with which they interact. These results shed new light on the biological action of miRNAs in breast cancer and may contribute to explain why, in some cases, different studies attribute opposite functions to the same miRNA.