Traditional and Virtual Congress Meetings During the COVID-19 Pandemic and the Post-COVID-19 Era: Is it Time to Change the Paradigm?

The speed and reach of the COVID-19 pandemic have forced rapid changes in how we conduct medical practice and research. The rapid evolution in how scientific meetings are conducted may have long-term benefits. A new reality in which technology and sociality are merged may offer a more engaging and adaptable scientific congress experience with more flexible and dynamic use of content modulated to the needs of each attendee

The TNG Near Infrared Camera Spectrometer

NICS (acronym for Near Infrared Camera Spectrometer) is the near-infrared cooled camera-spectrometer that has been developed by the Arcetri Infrared Group at the Arcetri Astrophysical Observatory, in collaboration with the CAISMI-CNR for the TNG (the Italian National Telescope Galileo at La Palma, Canary Islands, Spain). As NICS is in its scientific commissioning phase, we report its observing capabilities in the near-infrared bands at the TNG, along with the measured performance and the limiting magnitudes. We also describe some technical details of the project, such as cryogenics, mechanics, and the system which executes data acquisition and control, along with the related software.Comment: 7 pages, 5 figures, compiled with A&A macros. A&A in pres

A patrimonialização do kochkäse como uma perspectiva de desenvolvimento regional no médio Vale do Itajaí (SC) – UNIEDU / The patrimonialization of the kochkäse as a perspective of regional development in the middle Itajaí Valley (SC) – UNIEDU

O presente trabalho traz uma narrativa dos acontecimentos que envolveram a busca da patrimonialização do Kochkäse produzido pelos agricultores do Vale do Itajaí-SC. Para tanto, as autoras buscam enfatizar as dificuldades encontradas para que o objetivo seja alcançado. Fez-se uma reflexão dos argumentos que fundamentam o reconhecimento do Patrimônio Cultural de Natureza Imaterial do kochkäse, entre eles estão a identificação dos Sistemas Agroalimentares Locais

Segmental Ureterectomy for Upper Tract Urothelial Carcinoma: A Systematic Review and Meta-analysis of Comparative Studies

Radical nephroureterectomy (RNU) represents the standard of care for high-risk upper tract urothelial carcinoma (UTUC). In selected patients with ureteral UTUC, a conservative approach such as segmental ureterectomy (SU) can be considered. However, this therapeutic option remains controversial. The aim of this study was to perform a systematic review and meta-analysis of studies assessing the outcomes of SU versus RNU in patients with UTUC. Three search engines (Scopus, Embase, and Web of Science) were queried up to May 2019. The Preferred Reporting Items for Systematic Review and Meta-analysis Statement (PRISMA Statement) was used as a guideline for study selection. The clinical question was established as stated in the PICO (Population, Intervention, Comparator, Outcome) process. Patients in the SU group were more likely to have history of bladder cancer (odds ratio [OR], 1.99; 95% confidence interval [CI], 1.12-3.51; P = .02), but less likely to present with preoperative hydronephrosis (OR, 0.52; 95% CI: 0.31-0.88; P = .02). A higher rate of ureteral tumor location was found in the SU group (OR, 7.54; 95% CI, 4.15-13.68; P < .00001). The SU group presented with a lower rate of higher (pT ≥ 2) stage (OR, 0.66; 95% CI, 0.53-0.82; P = .0002), and high-grade tumors (OR, 0.62; 95% CI, 0.50-0.78; P < .0001). The SU group was found to have shorter 5-year relapse-free survival (OR, 0.64; 95% CI, 0.43-0.95; P = .03), but higher postoperative estimated glomular filtration rate (weighted mean difference, 10.97 mL/min; 95% CI, 2.97-18.98; P = .007). Selected patients might benefit from SU as a therapeutic option for UTUC. In advanced high-risk disease, RNU still remains the standard of care

Artificial intelligence for renal cancer: From imaging to histology and beyond

Artificial intelligence (AI) has made considerable progress within the last decade and is the subject of contemporary literature. This trend is driven by improved computational abilities and increasing amounts of complex data that allow for new approaches in analysis and interpretation. Renal cell carcinoma (RCC) has a rising incidence since most tumors are now detected at an earlier stage due to improved imaging. This creates considerable challenges as approximately 10%–17% of kidney tumors are designated as benign in histopathological evaluation; however, certain co-morbid populations (the obese and elderly) have an increased peri-interventional risk. AI offers an alternative solution by helping to optimize precision and guidance for diagnostic and therapeutic decisions. The narrative review introduced basic principles and provide a comprehensive overview of current AI techniques for RCC. Currently, AI applications can be found in any aspect of RCC management including diagnostics, perioperative care, pathology, and follow-up. Most commonly applied models include neural networks, random forest, support vector machines, and regression. However, for implementation in daily practice, health care providers need to develop a basic understanding and establish interdisciplinary collaborations in order to standardize datasets, define meaningful endpoints, and unify interpretation

Precise mirror alignment and basic performance of the RICH detector of the NA62 experiment at CERN

The Ring Imaging Cherenkov detector is crucial for the identification of charged particles in the NA62 experiment at the CERN SPS. The detector commissioning was completed in 2016 by the precise alignment of mirrors using reconstructed tracks. The alignment procedure and measurement of the basic performance are described. Ring radius resolution, ring centre resolution, single hit resolution and mean number of hits per ring are evaluated for positron tracks. The contribution of the residual mirror misalignment to the performance is calculated.Comment: 13 pages, 10 figure

Mechanisms of earthquake induced chemical and fluid transport to carbonate groundwater springs after earthquakes

Mechanisms by which hydrochemical changes occur after earthquakes are not well documented. We use the 2016-2017 central Italy seismic sequence, which caused notable hydrochemical transient variations in groundwater springs to address this topic, with special reference to effects on fractured carbonate aquifers. Hydrochemistry measured before and after the earthquakes at four springs at varying distances from the epicenters all showed immediate post-mainshock peaks in trace element concentrations, but little change in major elements. Most parameters returned to pre-earthquake values before the last events of the seismic sequence. The source of solutes, particularly trace elements, is longer residence time pore water stored in slow moving fractures or abandoned karstic flowpaths. These fluids were expelled into the main flow paths after an increase in pore pressure, hydraulic conductivity, and shaking from co-seismic aquifer stress. The weak response to the later earthquakes is explained by progressive depletion of high solute fluids as earlier shocks flushed out the stored fluids in the fractures. Spring \u3b413CDIC values closest to a deep magma source to the west became enriched relative to pre-earthquake values following the August 24th event. This enrichment indicates input from deeply-sourced dissolved CO2 gas after dilation of specific fault conduits. Differences in carbon isotopic responses between springs are attributed to proximity to the deep CO2 source. Most of the transient chemical changes seen in the three fractured carbonate aquifers are attributed to local shaking and emptying of isolated pores and fractures, and are not from rapid upward movement of deep fluids