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A Internet modifica a vida e o cotidiano das pessoas nos dias atuais, facilitando as interações pessoais, inclusive na área da saúde. A telemedicina se tornou uma ferramenta capaz de agregar informações de saúde de seus usuários e conectá-las aos ambientes hospitalares remotamente, seja por meio de teleconsultas, acesso à exames e contato com especialistas de diversas áreas, resultando em menores custos nos sistemas de saúde. Em meio à pandemia de COVID-19, os hospitais públicos e privados encontram-se sobrecarregados e, diante disto, uma ferramenta que realize triagem remota via smartphone e envie os dados ao profissional da saúde via Internet se faz necessária. O objetivo deste trabalho é propor uma nova arquitetura para triagem remota domiciliar de pacientes baseada em aplicativo para smartphones, a fim de diminuir o tempo de espera em hospitais, evitando também possíveis contatos entre pacientes com doenças infectocontagiosas. O aplicativo para smartphones com sistema Android®, denominado Clinitiba, foi desenvolvido para atender as necessidades de pacientes (usuário paciente) e profissionais da saúde (usuário provedor). O método proposto oferece a ação de triagem remota para os pacientes incluírem os parâmetros obtidos por equipamentos hospitalares. Após a realização da triagem, os pacientes são enviados para teleconsulta, com tempo máximo de espera de 20 minutos, podendo ser menor se os parâmetros forem associados à níveis altos de atenção. O usuário provedor poderá visualizar resultados dos parâmetros aferidos e iniciar a teleconsulta. Simulações foram realizadas para validação do aplicativo, resultando em tempo médio de atendimento de 14 minutos. Comparando estes dados ao tempo de espera nos hospitais, públicos antes da pandemia e privados nos dias de hoje, houve 84,3% e 84,9% de melhoria neste tempo, respectivamente. Espera-se que os gastos em saúde com a implantação do aplicativo diminuam, devido ao menor investimento em ambientes presenciais e maior satisfação do paciente. Assim, o aplicativo desenvolvido ao longo deste estudo obteve resultados positivos referentes ao seu principal objetivo, diminuição no tempo de espera para atendimento médico.

This is chapter 2 of the State of Environmental Science in Svalbard (SESS) report 2022. Aerosols are an important constituent of the atmosphere both influencing the climate system and contributing to increasing pollution of the Arctic. At the same time, their adequate monitoring is a big challenge, as instruments on the ground only can sample aerosols in the lowermost atmosphere. For this reason, these measurements are complemented with observations of aerosol optical depth (AOD) which quantify the total amount of aerosols throughout the atmosphere from the attenuation of direct sunlight (and moonlight). This procedure requires extremely careful instrument calibration and removal of cloud contaminated data. In Svalbard, such measurements have been performed by several research groups with different instruments, mostly in Ny-Ålesund and in Hornsund, but also on research vessels offshore. In the framework of the SSF Strategic Grant project ReHearsol, all AOD data from the Svalbard region since 2002 have been collected and made available to the SIOS research community. They indicate that number and intensity of Arctic haze episodes occurring in late winter and spring have decreased consistently and significantly in the last 20 years, while pollution events in summer/early autumn, caused by boreal biomass burning, are on the rise, though not as consistently. Comparison between in-situ measurements at Gruvebadet Atmosphere Laboratory in Ny-Ålesund and AOD measurements indicate that most (more than 65%) of the episodes with high aerosol load are not captured by surface measurements. This finding does not change when one includes in-situ measurements at Zeppelin Observatory (475 m a.s.l.). Studying extensive high-AOD episodes such as those in summer 2019 requires a multi-tool approach including in-situ and remote-sensing measurements combined with model tools.

The tropospheric NO2 column from Sentinel-5P/TROPOMI (2018–2020) and Aura/OMI (2010–2020) over Poland, notably for 7 major Polish cities, was used to assess the annual variability and the COVID-19 lockdown effect. On a national scale, during lockdown (March–June 2020), strong sources of pollution were found in Katowice and Warszawa, as well as at the power plant in Bełchatów. A gradual drop in OMI NO2 values between March and June was found for all cities and the entire domain of Poland, this being a part of the annual NO2 cycle derived for every year from 2010 to 2020. In fact, the gradual drop of NO2 in the lockdown year was within the typical monthly and annual variability. In March 2020, Kraków showed the highest NO2 reduction rate. A reduction of NO2 was observed in Gdańsk, Wrocław, and Warszawa during every month of the lock-down period. Several factors, including wind speed and direction, temperature, and increased emission sources, can limit the dispersion and removal of NO2. Although meteorological conditions have a significant impact on the annual cycle of NO2 in Poland, it is important to note that anthropogenic emissions remain the primary driver of NO2 concentrations. Therefore, the study concludes that the effect of COVID-19 restrictions on NO2 pollution was negligible and clarifies the current understanding of the COVID-19 effect over Poland, with an emphasis on hotspots in the major Polish cities and their vicinity. This is consistent with our understanding that the reduction of NO2 pollution is seen in cities due to reduced traffic (domestic, municipal, and airborne).

På vegne av Norsk Romsenter har NILU – Norsk institutt for luftforskning og CICERO Senter for klimaforskning utarbeidet et veikart for hvordan Norge kan nyttiggjøre seg data fra CO2 Monitoring-satellittene (CO2M) og tjenesten CO2-emissions Monitoring and Verification Support Capacity (CO2MVS) i forvaltning, forskningsmiljøer og næringsliv. Veikartet avslutter med anbefalinger for veien videre for Norge vedrørende CO2M og CO2MVS. On behalf of the Norwegian Space Agency, NILU – Norwegian Institute for Air Research and CICERO Center for Climate Research have drawn up a road map for how Norway can make use of data from the CO2 Monitoring satellites (CO2M) and the service "CO2 emissions Monitoring and Verification Support Capacity" (CO2MVS) in government bodies, research environments and business. The roadmap concludes with recommendations for the way forward for Norway’s role developing and utilizing CO2M and CO2MVS.

We apply the Hierarchical Autoregressive Neural (HAN) network sampling algorithm to the two-dimensional $Q$-state Potts model and perform simulations around the phase transition at $Q=12$. We quantify the performance of the approach in the vicinity of the first-order phase transition and compare it with that of the Wolff cluster algorithm. We find a significant improvement as far as the statistical uncertainty is concerned at a similar numerical effort. In order to efficiently train large neural networks we introduce the technique of pre-training. It allows to train some neural networks using smaller system sizes and then employing them as starting configurations for larger system sizes. This is possible due to the recursive construction of our hierarchical approach. Our results serve as a demonstration of the performance of the hierarchical approach for systems exhibiting bimodal distributions. Additionally, we provide estimates of the free energy and entropy in the vicinity of the phase transition with statistical uncertainties of the order of $10^{-7}$ for the former and $10^{-3}$ for the latter based on a statistics of $10^6$ configurations., Comment: 14 pages, 12 figures, published version

The PERCIVAL detector is a CMOS imager designed for the soft X-ray regime at photon sources. Although still in its final development phase, it has recently seen its first user experiments: ptychography at a free-electron laser, holographic imaging at a storage ring and preliminary tests on X-ray photon correlation spectroscopy. The detector performed remarkably well in terms of spatial resolution achievable in the sample plane, owing to its small pixel size, large active area and very large dynamic range; but also in terms of its frame rate, which is significantly faster than traditional CCDs. In particular, it is the combination of these features which makes PERCIVAL an attractive option for soft X-ray science.

Using the Color Glass Condensate (CGC) effective theory and nonrelativi-tic QCD (NRQCD) factorization, we provide predictions of $J/\psi$ polarization parameters in high-multiplicity proton–proton (pp) and proton–nucleus (pA) collisions. Energies and rapidity ranges are chosen to be accessible at the Large Hadron Collider (LHC). We predict a weak polarization of $J/\psi$ that additionally decreases with growing event activities. Small difference between pp and pA collisions is observed.

Food freezing technologies are one of the most important methods commonly used for food preservation and shelf life extension. In addition to the process effectiveness, modern food freezing techniques should guarantee the high quality of the products after freezing. The hydrofluidisation freezing (HF) is a promising technology that offers short freezing times and high energy efficiency. The heat transfer coefficient (HTC) typical for that method significantly exceeds the HTCs for similar immersion freezing (IF) or popular air-blast freezing. On the other hand, the literature focused on the experimental investigation of the HF is fairly limited. Therefore, the experimental investigation of the laboratory scale HF unit is presented in this paper. The experimental campaign was conducted for the various stationary samples immersed in the HF chamber. A copper sample was used to evaluate the HTC for the investigated system. According to the gathered results the HTC achieved for the investigated HF was equal to 2 941 W · m − 2 K − 1 . In addition, the freezing time for cocktail tomato, blueberry, potato and plum was experimentally determined. The potato samples of various sizes were used to analyse the freezing time for the IF and HF methods. The results of that analysis showed that the freezing time for the HF setup was almost two times shorter for all considered sample sizes. Nevertheless, the freezing time reduction related to the HF employment decreased with the increase of the sample sizes.

Streszczenie Praca zawiera nowe stanowiska 40 rzadkich, chronionych i zagrożonych gatunków mchów odnalezionych w latach 2020–2021 na terenie Grupy Pilska w polskiej części Karpat Zachodnich. Spośród nich do najciekawszych należy 13 gatunków nowych dla brioflory tego terenu, np. Dicranum polysetum , Orthotrichum lyellii , Sphagnum fimbriatum , Sphagnum riparium i Tortella inclinata .

The paper aims to study the workflow of the detection center of stealthy attacks on industrial installations that generate increase in energy consumption while avoiding triggering fault detection and damaging the installation. Such long-lasting attacks on industrial facilities make production more expensive and less competitive. We present the concept of the remote detection system of cyberattacks directed at maliciously changing the controlled variable in an industrial process air conditioning system. The monitored signals are gathered at the PLC-controlled installation and sent to the remote detection system, where the discrepancies of signals are analyzed based on the Control Performance Assessment indices. The results of performed tests prove the legitimacy of the adopted approach.

The paper contains information about the localities of 213 species (including one subspecies and three varieties) of mosses from the Tatra National Park. Noteworthy are species new to the flora of this area: Dicranella cerviculata, Dicranella rufescens, Fissidens exilis, Mnium hornum, Orthotrichum diaphanum and Plagiomnium ellipticum.

An improved understanding of an ovary’s structures is highly desirable to support advances in folliculogenesis knowledge and reproductive medicine, with particular attention to fertility preservation options for prepubertal girls with malignant tumors. Although currently the golden standard for structural analysis is provided by combining histological sections, staining, and visible 2D microscopic inspection, synchrotron radiation phase-contrast microtomography is becoming a new challenge for three-dimensional studies at micrometric resolution. To this aim, the proper use of contrast agents can improve the visualization of internal structures in ovary tissues, which normally present a low radiopacity. In this study, we report a comparison of four staining protocols, based on iodine or tungsten containing agents, applied to bovine ovarian tissues fixed in Bouin’s solution. The microtomography (microCT) analyses at two synchrotron facilities under different set-ups were performed at different energies in order to maximize the image contrast. While tungsten-based agents allow large structures to be well identified, Iodine ones better highlight smaller features, especially when acquired above the K-edge energy of the specific metal. Further scans performed at lower energy where the setup was optimized for overall quality and sensitivity from phase-contrast still provided highly resolved visualization of follicular and intrafollicular structures at different maturation stages, independent of the staining protocol. The analyses were complemented by X-ray Fluorescence mapping on 2D sections, showing that the tungsten-based agent has a higher penetration in this type of tissues.