Mapping of processes and risks in the digital transformation in metrology of ionizing radiation, a case study in X-rays air kerma calibration

For the new metrological challenges of an increasingly digitized world, several countries are developing applications and infrastructure for Digital Calibration Certificates – DCC, researching the comparability of real and virtual measurements. Objective: to map the processes and risks related to the digital transformation of X-rays air kerma calibration. The Failure Mode and Effect Analysis - FMEA was used to quantify risks and is widely used in the aviation and automotive industry due to its reliability. The results presented a conceptual model for calibrating ionizing radiation quantities in the framework of new technologies and calibration 4.0 and comparing processes and risks. The conceptual model of calibration 4.0 comprises three main parts: a transmitter, the 4.0 communication network, and a receiver. Intelligent devices with configurations enable calibration data transfers by radio-frequency messaging in all these parts. Comparing risks in contemporary and calibration 4.0 processes, a slight reduction in the total risk can be observed. But new risks are unique to the 4.0 model, all with maximum severity, and how to mitigate them is still unknown. It is also possible to estimate that artificial intelligence and automation can significantly reduce measurement risks, identification, and error in the analysis and use of calibration certificates

A simple and cheaper solution to calibrate microcomputer time base with NIST totalizer method / Uma solução simples e mais barata para calibrar a base de tempo do microcomputador com o método totalizador NIST

Normally, laboratories that need traceability of time quantity in measurements, find high cost and complex infrastructure to collect traceable time measurements and automation software. This paper shows the calibration of microcomputers in LNMRI laboratory, using a simple method proposed by Special Publication NIST 960-12, with a unique reference counter with an external time base by the CSAC cesium frequency standard and a virtual stopwatch that can be download on the internet. The totalizer method is a simple way to calibrate time offset dt/t, and the results show that the microcomputers can be used how a time base reference in measurements that required dimensionless fractional time uncertainty until microseconds for a second

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

Development of alkali-activated mortar from iron ore tailings

abstract: In this work, the authors explore the use of iron ore tailings (IOT) from a tailings dam as a recycled precursor material in producing a composite through alkali-activation technology. Two different composite types were evaluated: paste specimens made using only IOT and an alkaline activator, and mortar specimens using the same binder and quartz sand as fine aggregate. Three different grinding times were applied to activate the IOT; a NaOH solution was used as the alkaline activator with three molar concentrations (8, 10, and 12 mol/l); and, thermal curing of 100°C for 7 days was applied. These parameters were obtained by a hard-mini-test (HMT) experimental procedure. The physico-mechanical properties of the composites were obtained, and the results showed a compressive strength up to 110.0 MPa, which is like high-performance Portland cement concretes and alkali-activated cements derived from well-established precursors reported in the literature using thermal cure

ANÁLISE ANTIMICROBIANA DE EXTRATOS OBTIDOS A PARTIR DE Cuphea carthagenensis

A Cuphea carthagenensis também conhecida como “sete-sangrias” é típica da região do vale do Itajaí do estado de Santa Catarina, estudos revelam que ela apresenta aplicações farmacológicas tais como: no tratamento de hipertensão, são diuréticas, laxativas, antipiréticas e antiinflamatórias além de apresentarem atividades antimicrobianas contra bactérias. As plantas estão cada vez mais sendo estudadas para a busca de novas fontes de moléculas com atividade antimicrobiana, principalmente com a crescente resistência das bactérias patogênicas frente aos fármacos administrados e por esse motivo, que a Organização Mundial da Saúde (OMS) incentiva a busca de novas abordagens terapêuticas. Como existe uma alta variedade de plantas, ainda é necessário estudos para avaliar se apresentam ação contra bactérias, analisando por meio das pesquisas a presença ou não de substâncias que apresentam atividades antimicrobianas. O presente trabalho tem como objetivo realizar análises antimicrobianas com extratos orgânicos e aquosos obtidos da planta Cuphea carthagenensis. Os extratos foram obtidos por meio de extração com soxhlet em água, hexano e etanol, com aproximadamente 12g da planta, após as amostras foram rotoevaporadas e levadas ao dessecador por aproximadamente uma semana para total secagem. A amostra sólida obtida será diluída em DMSO 1% (m/v) para realização dos testes antimicrobiano baseado no método de difusão em ágar frente às bactérias Salmonella typhimurium [ATCC 14028], Staphylococcus aureus [ATCC 6538], Helicobacter pylori [ATCC 26695], Pseudomonas aeruginosa [ATCC 27853] e a Escherichia coli [ATCC 25922]. Além dos experimentos também foram realizadas postagens para a página do Instagram (pesquisa_biomoleculas) e todo o estudo foi realizado com base em artigos científicos, teses, dissertações e dados da OMS. Espera-se que com os resultados das análises, que a pesquisa realizada contribua para o enriquecimento de informações científicas para a região do vale do Itajaí, além de fortalecer a consolidação da pesquisa científica no IFC, contribuirá para o aprendizado dos alunos envolvidos, além de contribuir com pesquisas básicas incentivadas pela OMS