NOVA University Lisbon (Portuguese: Universidade NOVA de Lisboa, pronounced [univɨɾsiˈðað(ɨ) ˈnɔvɐ ðɨ liʒˈβo.ɐ]), or just NOVA, is a Portuguese public university whose rectorate is located in Campolide, Lisbon. Founded in 1973, it is the newest of the public universities in the Portuguese capital city, earning its name as the "New" (NOVA) University of Lisbon.The institution has more than 20,000 students, 1,800 professors and staff members distributed through five faculties, three institutes and one school, providing a variety of courses in several fields of knowledge.
This paper examines the impact of an experiment in North Macedonia in which vulnerable unemployed individuals applying to a subsidized employment program were randomly selected to attend job interviews. Employers hiring a new employee from the target population receive a subsidy covering the wage cost of the worker for the first six months. Using administrative employment data, we find that attending the job interview led to an increase of 15 percentage points in the likelihood of being employed 3.5 years after the start of the intervention. We also find positive and statistically significant effects on individuals' non-cognitive and work-related skills.
Bank complexity is often associated with risk, due to moral hazard and agency problems. At the same time, complexity may be linked to diversification and scale economies, thus leading to less risk. In this paper, we provide empirical evidence on the relationship between bank complexity and risk-taking. We find a positive relationship between geographical complexity and bank risk. Banks that operate in more countries, both through banks and non-banks, have riskier balance sheets and more non-performing loans. Further, banks that operate in Africa have higher risk levels due to larger volatility of returns. The link between structural complexity and bank risk is weaker, but generally negative. Our results suggest that moral hazard and agency problems may be more acute when banks operate in many geographies and in emerging market economies. In contrast, the results are consistent with diversification and scale benefits arising from operating in more business areas.
Ribosomes are large macromolecular complexes responsible for the translation process. During the course of ribosome biogenesis and protein synthesis, extra-ribosomal factors interact with the ribosome or its subunits to assist in these vital processes. Here we describe a method to isolate and analyze not only bacterial ribosomes but also their associated factors, providing insights into translation regulation. This detailed protocol allows the separation and monitoring of the ribosomal species and their interacting partners along a sucrose density gradient. Simultaneously, fractionation of the gradient allows for the recovery of 70S ribosomes and its subunits enabling a wide range of downstream applications. This protocol can be easily adapted to ribosome-related studies in other species or for separating other macromolecular complexes.
While renewable electricity is widely recognized as key to achieving climate goals, its broader contribution to a sustainable and just energy transition remains underexplored. Several studies assess the effect of renewables on individual outcomes, but few adopt an integrated approach that captures the multiple dimensions of environmental sustainability, social well-being, and economic development. This study addresses this gap by exploring the effects of renewable electricity expansion in five key indicators, serving as proxies of environmental, economic and social justice, within the EU-27 and UK from 2007–2022. The analysis employs panel data models with fixed effects, incorporating lagged values of renewable electricity generation by technology type to assess cross-country and temporal dynamics. Findings indicate renewable electricity reduces greenhouse gas emissions, confirming its climate mitigation potential, and contributes positively to economic growth and employment, with solar technologies showing the largest association with job creation, followed by wind. The analysis, however, finds no significant effect on income inequality (measured by Gini Index), and only marginal impacts on household electricity prices. These results suggest that while renewable deployment may advance environmental and economic goals, its contribution to greater social equity is less evident, underscoring the importance of policies that explicitly integrate decarbonization with distributive justice and affordability. Future research should further explore the differentiated social impacts of renewable deployment across income groups, and household types, providing a stronger empirical basis for designing energy transitions that are not only sustainable but also just.
Non-small cell lung cancer (NSCLC) remains the leading cause of cancer-related death, driven by late diagnosis and therapeutic resistance. microRNAs (miRs) regulate post-transcriptional networks across cancer hallmarks and are unusually stable in biofluids, positioning them as powerful, minimally invasive biomarkers and therapeutic targets. This review summarizes current knowledge on miR biogenesis, regulation, and function in NSCLC; critically evaluates circulating and compartment-specific biomarkers (plasma/serum, sputum, and peripheral blood mononuclear cells (PBMCs); and appraises translational advances in oncomiR inhibition and tumor-suppressor restoration using modern delivery systems. We also analyze methodological progress, highlight persistent pre-analytical and normalization challenges, and outline practical routes toward regulatory-grade standardization. Convergent evidence indicates that circulating and exosomal miR panels can improve early detection and malignant-nodule triage, particularly when integrated with imaging and proteomic markers, and provide independent prognostic and treatment-monitoring value, often anticipating radiographic response or resistance. Despite strong pre-clinical efficacy, the clinical translation of miR mimics and inhibitors has been limited by delivery barriers and immunotoxicity, constraining progress into late-phase development. Unstandardized workflows and incomplete attribution of tumor-derived signals remain key barriers to clinical adoption. Overall, miRs hold strong potential to advance precision oncology in NSCLC through real-time disease monitoring and pathway-level targeting. Progress will likely depend on multimodal integration with circulating tumor DNA (ctDNA), proteomics, and imaging, alongside optimized delivery strategies, improved immunosafety, and rigorous multicenter validation to enable translation into routine care.
