Showing papers by "University of Rijeka published in 2021"
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Agostino Gemelli University Polyclinic1, Catholic University of the Sacred Heart2, University of Cologne3, University of Milan4, University of California, San Diego5, Medical University of Graz6, University of Cambridge7, University of Insubria8, University of Milano-Bicocca9, Ankara University10, Masaryk University11, Churchill Hospital12, Autonomous University of Barcelona13, University Medical Center Groningen14, Palacký University, Olomouc15, Hamad Medical Corporation16, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico17, King's College London18, University of Rijeka19, Hospital General Universitario Gregorio Marañón20, Gomel State Medical University21, University of Szeged22, Mansoura University23, Marmara University24, Katholieke Universiteit Leuven25, Karolinska University Hospital26, University of Rome Tor Vergata27, Vanderbilt University Medical Center28, Hospital Universitario La Paz29, University of Belgrade30, Sultan Qaboos University31, Spanish National Research Council32, Wrocław Medical University33, University of Hamburg34, University Hospital of Basel35, Innsbruck Medical University36, Paris-Sorbonne University37, University of Montpellier38, Federal University of Rio de Janeiro39, University Hospital Centre Zagreb40, University of Zagreb41
TL;DR: In this paper, the authors studied the risk factors for adverse outcomes in patients with hematological malignancies (HM) who developed COVID-19 and analyzed predictors of mortality.
Abstract: Patients with hematological malignancies (HM) are at high risk of mortality from SARS-CoV-2 disease 2019 (COVID-19). A better understanding of risk factors for adverse outcomes may improve clinical management in these patients. We therefore studied baseline characteristics of HM patients developing COVID-19 and analyzed predictors of mortality. The survey was supported by the Scientific Working Group Infection in Hematology of the European Hematology Association (EHA). Eligible for the analysis were adult patients with HM and laboratory-confirmed COVID-19 observed between March and December 2020. The study sample includes 3801 cases, represented by lymphoproliferative (mainly non-Hodgkin lymphoma n = 1084, myeloma n = 684 and chronic lymphoid leukemia n = 474) and myeloproliferative malignancies (mainly acute myeloid leukemia n = 497 and myelodysplastic syndromes n = 279). Severe/critical COVID-19 was observed in 63.8% of patients (n = 2425). Overall, 2778 (73.1%) of the patients were hospitalized, 689 (18.1%) of whom were admitted to intensive care units (ICUs). Overall, 1185 patients (31.2%) died. The primary cause of death was COVID-19 in 688 patients (58.1%), HM in 173 patients (14.6%), and a combination of both COVID-19 and progressing HM in 155 patients (13.1%). Highest mortality was observed in acute myeloid leukemia (199/497, 40%) and myelodysplastic syndromes (118/279, 42.3%). The mortality rate significantly decreased between the first COVID-19 wave (March–May 2020) and the second wave (October–December 2020) (581/1427, 40.7% vs. 439/1773, 24.8%, p value < 0.0001). In the multivariable analysis, age, active malignancy, chronic cardiac disease, liver disease, renal impairment, smoking history, and ICU stay correlated with mortality. Acute myeloid leukemia was a higher mortality risk than lymphoproliferative diseases. This survey confirms that COVID-19 patients with HM are at high risk of lethal complications. However, improved COVID-19 prevention has reduced mortality despite an increase in the number of reported cases.
141 citations
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TL;DR: The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018.
Abstract: The Muon g-2 Experiment at Fermi National Accelerator Laboratory (FNAL) has measured the muon anomalous precession frequency $\omega_a$ to an uncertainty of 434 parts per billion (ppb), statistical, and 56 ppb, systematic, with data collected in four storage ring configurations during its first physics run in 2018. When combined with a precision measurement of the magnetic field of the experiment's muon storage ring, the precession frequency measurement determines a muon magnetic anomaly of $a_{\mu}({\rm FNAL}) = 116\,592\,040(54) \times 10^{-11}$ (0.46 ppm). This article describes the multiple techniques employed in the reconstruction, analysis and fitting of the data to measure the precession frequency. It also presents the averaging of the results from the eleven separate determinations of \omega_a, and the systematic uncertainties on the result.
129 citations
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TL;DR: In this paper, the authors provide an updated assessment of the power of the Cherenkov Telescope Array (CTA) to search for thermally produced dark matter at the TeV scale via the associated gamma-ray signal from pair-annihilating dark matter particles in the region around the Galactic centre.
Abstract: We provide an updated assessment of the power of the Cherenkov Telescope Array (CTA) to search for thermally produced dark matter at the TeV scale, via the associated gamma-ray signal from pair-annihilating dark matter particles in the region around the Galactic centre. We find that CTA will open a new window of discovery potential, significantly extending the range of robustly testable models given a standard cuspy profile of the dark matter density distribution. Importantly, even for a cored profile, the projected sensitivity of CTA will be sufficient to probe various well-motivated models of thermally produced dark matter at the TeV scale. This is due to CTA's unprecedented sensitivity, angular and energy resolutions, and the planned observational strategy. The survey of the inner Galaxy will cover a much larger region than corresponding previous observational campaigns with imaging atmospheric Cherenkov telescopes. CTA will map with unprecedented precision the large-scale diffuse emission in high-energy gamma rays, constituting a background for dark matter searches for which we adopt state-of-the-art models based on current data. Throughout our analysis, we use up-to-date event reconstruction Monte Carlo tools developed by the CTA consortium, and pay special attention to quantifying the level of instrumental systematic uncertainties, as well as background template systematic errors, required to probe thermally produced dark matter at these energies.
70 citations
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TL;DR: In this article, the reliability of existing state-of-the-art detectors such as Faster R-CNN, YOLOv4, RetinaNet, and Cascade RCNN on a VisDrone benchmark and custom-made dataset SARD build to simulate rescue scenes was investigated.
Abstract: Due to a growing number of people who carry out various adrenaline activities or adventure tourism and stay in the mountains and other inaccessible places, there is an increasing need to organize a search and rescue operation (SAR) to provide assistance and health care to the injured. The goal of SAR operation is to search the largest area of the territory in the shortest time possible and find a lost or injured person. Today, drones (UAVs or drones) are increasingly involved in search operations, as they can capture a large, controlled area in a short amount of time. However, a detailed examination of a large amount of recorded material remains a problem. Even for an expert, it is not easy to find searched people who are relatively small considering the area where they are, often sheltered by vegetation or merged with the ground and in unusual positions due to falls, injuries, or exhaustion. Therefore, the automatic detection of persons and objects in images/videos taken by drones in these operations is very significant. In this paper, the reliability of existing state-of-the-art detectors such as Faster R-CNN, YOLOv4, RetinaNet, and Cascade R-CNN on a VisDrone benchmark and custom-made dataset SARD build to simulate rescue scenes was investigated. After training the models on selected datasets, detection results were compared. Because of the high speed and accuracy and the small number of false detections, the YOLOv4 detector was chosen for further examination. YOLOv4 model results related to different network sizes, different detection accuracies, and transfer learning settings were analyzed. The model robustness to weather conditions and motion blur were also investigated. The paper proposes a model that can be used in SAR operations because of the excellent results in detecting people in search and rescue scenarios.
57 citations
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TL;DR: In 2017, the Event Horizon Telescope (EHT) Collaboration succeeded in capturing the first direct image of the center of the M87 galaxy as mentioned in this paper, and the results and analysis of this campaign, as well as the multi-wavelength data as a legacy data repository were presented.
Abstract: In 2017, the Event Horizon Telescope (EHT) Collaboration succeeded in capturing the first direct image of the center of the M87 galaxy. The asymmetric ring morphology and size are consistent with theoretical expectations for a weakly accreting supermassive black hole of mass ∼6.5 × 109 M o˙. The EHTC also partnered with several international facilities in space and on the ground, to arrange an extensive, quasi-simultaneous multi-wavelength campaign. This Letter presents the results and analysis of this campaign, as well as the multi-wavelength data as a legacy data repository. We captured M87 in a historically low state, and the core flux dominates over HST-1 at high energies, making it possible to combine core flux constraints with the more spatially precise very long baseline interferometry data. We present the most complete simultaneous multi-wavelength spectrum of the active nucleus to date, and discuss the complexity and caveats of combining data from different spatial scales into one broadband spectrum. We apply two heuristic, isotropic leptonic single-zone models to provide insight into the basic source properties, but conclude that a structured jet is necessary to explain M87's spectrum. We can exclude that the simultaneous γ-ray emission is produced via inverse Compton emission in the same region producing the EHT mm-band emission, and further conclude that the γ-rays can only be produced in the inner jets (inward of HST-1) if there are strongly particle-dominated regions. Direct synchrotron emission from accelerated protons and secondaries cannot yet be excluded.
56 citations
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TL;DR: In this paper, the authors performed a literature review of the drivers, success factors and barriers to digital transformation in the maritime transport sector and identified a total of 139 sources, mainly related to the drivers and success factors for digitalization and digital transformation.
55 citations
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University of Cartagena1, CERN2, University of Freiburg3, Max Planck Society4, Istituto Nazionale di Fisica Nucleare5, University of Trieste6, University of Barcelona7, Russian Academy of Sciences8, University of Bonn9, University of Patras10, University of Hamburg11, Spanish National Research Council12, University of Jena13, University of British Columbia14, Xi'an Jiaotong University15, University of Rijeka16, Catalan Institution for Research and Advanced Studies17, Istanbul University18, Boğaziçi University19, University of Valencia20, Lawrence Livermore National Laboratory21, SLAC National Accelerator Laboratory22, KAIST23, Austrian Academy of Sciences24
TL;DR: In this paper, the authors present the results of the CERN Central Cryogenic Laboratory (CECL) project, which has received funding from the European Research Council (ERC) under grant ERC-2018-StG-802836 (AxScale project).
Abstract: We wish to thank our colleagues at CERN, in particular Marc Thiebert from the coating lab, as well as the whole team of the CERN Central Cryogenic Laboratory for their support and advice in speci c aspects of the project. We thank Arefe Abghari for her contributions as the project's summer student during 2018. This work has been funded by the Spanish Agencia Estatal de Investigacion (AEI) and Fondo Europeo de Desarrollo Regional (FEDER) under project FPA-2016-76978-C3-2-P and PID2019-108122GB-C33, and was supported by the CERN Doctoral Studentship programme. The research leading
to these results has received funding from the European Research Council and BD, JG and SAC acknowledge support through the European Research Council under grant ERC-2018-StG-802836 (AxScale project). BD also acknowledges fruitful discussions at MIAPP supported by DFG under EXC-2094 { 390783311. IGI acknowledges also support from the European Research Council (ERC) under grant ERC-2017-AdG-788781 (IAXO+ project). JR has been supported by the Ramon y Cajal Fellowship 2012-10597, the grant PGC2018-095328-B-I00(FEDER/Agencia estatal de investigaci on) and FSE-GA2017-2019-E12/7R (Gobierno de Aragon/FEDER) (MINECO/FEDER), the EU through the ITN \Elusives" H2020-MSCA-ITN-2015/674896 and the Deutsche Forschungsgemeinschaft under grant SFB-1258 as a Mercator Fellow. CPG was supported by PROMETEO II/2014/050 of Generalitat Valenciana, FPA2014-57816-P of MINECO and by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreements 690575 and 674896. AM is supported by the European Research Council under Grant No. 742104. Part of this work was performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract No. DE-AC52-07NA27344.
52 citations
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31 May 2021
TL;DR: The amygdala as discussed by the authors is the central subcortical emotional brain structure that constantly evaluates and integrates a variety of sensory information from the surroundings and assigns them appropriate values of emotional dimensions, such as valence, intensity, and approachability.
Abstract: Emotions arise from activations of specialized neuronal populations in several parts of the cerebral cortex, notably the anterior cingulate, insula, ventromedial prefrontal, and subcortical structures, such as the amygdala, ventral striatum, putamen, caudate nucleus, and ventral tegmental area. Feelings are conscious, emotional experiences of these activations that contribute to neuronal networks mediating thoughts, language, and behavior, thus enhancing the ability to predict, learn, and reappraise stimuli and situations in the environment based on previous experiences. Contemporary theories of emotion converge around the key role of the amygdala as the central subcortical emotional brain structure that constantly evaluates and integrates a variety of sensory information from the surroundings and assigns them appropriate values of emotional dimensions, such as valence, intensity, and approachability. The amygdala participates in the regulation of autonomic and endocrine functions, decision-making and adaptations of instinctive and motivational behaviors to changes in the environment through implicit associative learning, changes in short- and long-term synaptic plasticity, and activation of the fight-or-flight response via efferent projections from its central nucleus to cortical and subcortical structures.
51 citations
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Katholieke Universiteit Leuven1, Rabin Medical Center2, Wrocław Medical University3, University of Tübingen4, University of Bologna5, Ege University6, University of Paris7, University of Nottingham8, University of Antwerp9, Iuliu Hațieganu University of Medicine and Pharmacy10, Queen Mary University of London11, University of Rijeka12, Haukeland University Hospital13, National and Kapodistrian University of Athens14, Maastricht University15, Trinity College, Dublin16, University of Zurich17, I.M. Sechenov First Moscow State Medical University18, University of Naples Federico II19, University of Padua20, Humboldt University of Berlin21, Sahlgrenska University Hospital22, Sheba Medical Center23, Medical University of Silesia24, University College Hospital25
TL;DR: A Delphi consensus was initiated with 41 experts from 22 European countries who conducted a literature summary and voting process on 87 statements as mentioned in this paper, and a consensus was reached for 36 statements.
Abstract: Background Functional dyspepsia (FD) is one of the most common conditions in clinical practice. In spite of its prevalence, FD is associated with major uncertainties in terms of its definition, underlying pathophysiology, diagnosis, treatment, and prognosis. Methods A Delphi consensus was initiated with 41 experts from 22 European countries who conducted a literature summary and voting process on 87 statements. Quality of evidence was evaluated using the grading of recommendations, assessment, development, and evaluation (GRADE) criteria. Consensus (defined as >80% agreement) was reached for 36 statements. Results The panel agreed with the definition in terms of its cardinal symptoms (early satiation, postprandial fullness, epigastric pain, and epigastric burning), its subdivision into epigastric pain syndrome and postprandial distress syndrome, and the presence of accessory symptoms (upper abdominal bloating, nausea, belching), and overlapping conditions. Also, well accepted are the female predominance of FD, its impact on quality of life and health costs, and acute gastrointestinal infections, and anxiety as risk factors. In terms of pathophysiological mechanisms, the consensus supports a role for impaired gastric accommodation, delayed gastric emptying, hypersensitivity to gastric distention, Helicobacter pylori infection, and altered central processing of signals from the gastroduodenal region. There is consensus that endoscopy is mandatory for establishing a firm diagnosis of FD, but that in primary care, patients without alarm symptoms or risk factors can be managed without endoscopy. There is consensus that H. pylori status should be determined in every patient with dyspeptic symptoms and H. pylori positive patients should receive eradication therapy. Also, proton pump inhibitor therapy is considered an effective therapy for FD, but no other treatment approach reached a consensus. The long-term prognosis and life expectancy are favorable. Conclusions and inferences A multinational group of European experts summarized the current state of consensus on the definition, diagnosis and management of FD.
50 citations
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TL;DR: In this paper, the authors proposed the use of DEA-Bootstrap and the Malmquist Index to analyse the innovation efficiency level in Spanish and Italian regions during the period 2004-2012.
42 citations
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TL;DR: In this paper, a comprehensive overview of trust and reputation in family businesses is presented, with a focus on the impact of reputation and trust on family businesses' long-term financial success.
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TL;DR: A comprehensive overview of current knowledge on psoriasis genetic and environmental etiological factors, immunopathogenesis, and the leading cellular and cytokine participants in the inflammatory pathways of this disease is presented in this article.
Abstract: Psoriasis is a recurrent, chronic, immune-mediated, systemic inflammatory disease of the skin, joints, and other organic systems. After atopic dermatitis, chronic stationary psoriasis is the most common inflammatory skin disease, affecting an average of 2–4% of the world’s population. The disease carries a significant burden due to its numerous comorbidities and the major impact on patients’ social and emotional aspects of life. According to current knowledge, psoriasis is a multifactorial disease that occurs in genetically predisposed individuals under various environmental factors, which trigger an immune response disorder with a series of complex inflammatory cascades. The disease is initiated and maintained by mutual interaction of the innate and adaptive immune cells, primarily dendritic cells, T lymphocytes, and keratinocytes, whose leading role alternates at different stages of the disease, consisting mainly in the IL-23/Th17 pathway. Inflammatory events result in consequent epidermal and dermal changes and evolution of the characteristic psoriatic phenotype, respectively. This paper aims to present a comprehensive overview of current knowledge on psoriasis genetic and environmental etiological factors, immunopathogenesis, and the leading cellular and cytokine participants in the inflammatory pathways of this disease.
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Katholieke Universiteit Leuven1, Strathclyde Institute of Pharmacy and Biomedical Sciences2, Sefako Makgatho Health Sciences University3, Karolinska University Hospital4, University of Medicine, Tirana5, Sofia Medical University6, University of Rijeka7, Mario Negri Institute for Pharmacological Research8, National Health Service9, Erasmus University Medical Center10, Norwegian Institute of Public Health11, Carol Davila University of Medicine and Pharmacy12, Russian Academy of Sciences13, University of Banja Luka14, Stockholm County Council15, NHS Greater Glasgow and Clyde16
TL;DR: A European overview of (list) prices of originator adalimumab, before and after loss of exclusivity; to report changes in the reimbursement status of ad alimumab products; and discuss relevant policy measures.
Abstract: Background: From October 2018, adalimumab biosimilars could enter the European market. However, in some countries, such as Netherlands, high discounts reported for the originator product may have influenced biosimilar entry. Objectives: The aim of this paper is to provide a European overview of (list) prices of originator adalimumab, before and after loss of exclusivity; to report changes in the reimbursement status of adalimumab products; and discuss relevant policy measures. Methods: Experts in European countries received a survey consisting of three parts: 1) general financing/co-payment of medicines, 2) reimbursement status and prices of originator adalimumab, and availability of biosimilars, and 3) policy measures related to the use of adalimumab. Results: In May 2019, adalimumab biosimilars were available in 24 of the 30 countries surveyed. Following introduction of adalimumab biosimilars, a number of countries have made changes in relation to the reimbursement status of adalimumab products. Originator adalimumab list prices varied between countries by a factor of 2.8 before and 4.1 after loss of exclusivity. Overall, list prices of originator adalimumab decreased after loss of exclusivity, although for 13 countries list prices were unchanged. When reported, discounts/rebates on originator adalimumab after loss of exclusivity ranged from 0% to approximately 26% (Romania), 60% (Poland), 80% (Denmark, Italy, Norway), and 80-90% (Netherlands), leading to actual prices per pen or syringe between €412 (Finland) and €50 - €99 (Netherlands). To leverage competition following entry of biosimilar adalimumab, only a few countries adopted measures specifically for adalimumab in addition to general policies regarding biosimilars. In some countries, a strategy was implemented even before loss of exclusivity (Denmark, Scotland), while others did not report specific measures. Conclusion: Even though originator adalimumab is the highest selling product in the world, few countries have implemented specific policies and practices for (biosimilar) adalimumab. Countries with biosimilars on the market seem to have competition lowering list or actual prices. Reported discounts varied widely between countries.
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TL;DR: In this article, the authors focus on currently known pathogenesis of non-alcoholic fatty liver disease, which is defined by fat accumulation in hepatocytes not promoted by excessive alcohol consumption.
Abstract: Nonalcoholic fatty liver disease is a condition defined by fat accumulation in hepatocytes not promoted by excessive alcohol consumption. It is highly prevalent and is strongly associated with insulin resistance, metabolic syndrome, and diabetes type II. Insulin resistance plays a crucial role in the multifactorial etiopathogenesis of this condition leading to accumulation of free fatty acids in the liver cells, thus causing lipotoxicity, inflammation, and fibrosis. In this review, we will focus on currently known pathogenesis of nonalcoholic fatty liver disease. Numerous investigation strategies are available to establish the diagnosis, from biochemical markers and ultrasound to various molecular and advanced imaging techniques and liver biopsy. Prevention is crucial. However, effective and promising therapies are strongly demanded.
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TL;DR: In this article, a comparison of approaches to EV imaging is presented, which should help to estimate the current state in morphology research of EVs from human biofluids and to identify the most efficient pathways towards the standardisation of sample preparation and microscopy modes.
Abstract: Extracellular vesicles (EVs) are nanometric membranous structures secreted from almost every cell and present in biofluids. Because EV composition reflects the state of its parental tissue, EVs possess an enormous diagnostic/prognostic potential to reveal pathophysiological conditions. However, a prerequisite for such usage of EVs is their detailed characterisation, including visualisation which is mainly achieved by atomic force microscopy (AFM) and electron microscopy (EM). Here we summarise the EV preparation protocols for AFM and EM bringing out the main challenges in the imaging of EVs, both in their natural environment as biofluid constituents and in a saline solution after EV isolation. In addition, we discuss approaches for EV imaging and identify the potential benefits and disadvantages when different AFM and EM methods are applied, including numerous factors that influence the morphological characterisation, standardisation, or formation of artefacts. We also demonstrate the effects of some of these factors by using cerebrospinal fluid as an example of human biofluid with a simpler composition. Here presented comparison of approaches to EV imaging should help to estimate the current state in morphology research of EVs from human biofluids and to identify the most efficient pathways towards the standardisation of sample preparation and microscopy modes.
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TL;DR: How new knowledge about secondary consequences of dysregulated RiBi and protein synthesis, including proteotoxic stress, metabolic alterations, adaptive transcriptional and translational programs, and the impaired ribosome biogenesis checkpoint (IRBC) provide a foundation for the development of new anticancer therapies is discussed.
Abstract: Ribosome biogenesis (RiBi) is one of the most complex and energy demanding processes in human cells, critical for cell growth and proliferation. Strong causal links between inherited and acquired impairment in RiBi with cancer pathogenesis are emerging, pointing to RiBi as an attractive therapeutic target for cancer. Here, we will highlight new knowledge about causes of excessive or impaired RiBi and the impact of these changes on protein synthesis. We will also discuss how new knowledge about secondary consequences of dysregulated RiBi and protein synthesis, including proteotoxic stress, metabolic alterations, adaptive transcriptional and translational programs, and the impaired ribosome biogenesis checkpoint (IRBC) provide a foundation for the development of new anticancer therapies.
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TL;DR: This study helps AI designers and business managers when designing and implementing AI devices in a hospitality environment and helps policymakers and educational institutions try to advance their curricula, emphasizing the importance of new technologies.
Abstract: This paper aims to examine willingness to accept artificial intelligence (AI) devices, focusing on the so-called Gen Z population. This study presumes that specific knowledge of a business process ...
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TL;DR: In this article, the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness of existing models in specific areas.
Abstract: COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in the daily lives of billions of people worldwide. Therefore, many efforts have been made by researchers across the globe in the attempt of determining the models of COVID-19 spread. The objectives of this review are to analyze some of the open-access datasets mostly used in research in the field of COVID-19 regression modeling as well as present current literature based on Artificial Intelligence (AI) methods for regression tasks, like disease spread. Moreover, we discuss the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness of existing models in specific areas. An electronic literature search of the various databases was conducted to develop a comprehensive review of the latest AI-based approaches for modeling the spread of COVID-19. Finally, a conclusion is drawn from the observation of reviewed papers that AI-based algorithms have a clear application in COVID-19 epidemiological spread modeling and may be a crucial tool in the combat against coming pandemics.
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TL;DR: The authors found that Hobit was upregulated in a subset of LCMV-specific CD8+ T cells located within peripheral tissues during the effector phase of the immune response and identified these Hobit+ effector T cells as TRM precursors.
Abstract: Tissue-resident memory CD8+ T cells (TRM) constitute a noncirculating memory T cell subset that provides early protection against reinfection. However, how TRM arise from antigen-triggered T cells has remained unclear. Exploiting the TRM-restricted expression of Hobit, we used TRM reporter/deleter mice to study TRM differentiation. We found that Hobit was up-regulated in a subset of LCMV-specific CD8+ T cells located within peripheral tissues during the effector phase of the immune response. These Hobit+ effector T cells were identified as TRM precursors, given that their depletion substantially decreased TRM development but not the formation of circulating memory T cells. Adoptive transfer experiments of Hobit+ effector T cells corroborated their biased contribution to the TRM lineage. Transcriptional profiling of Hobit+ effector T cells underlined the early establishment of TRM properties including down-regulation of tissue exit receptors and up-regulation of TRM-associated molecules. We identified Eomes as a key factor instructing the early bifurcation of circulating and resident lineages. These findings establish that commitment of TRM occurs early in antigen-driven T cell differentiation and reveal the molecular mechanisms underlying this differentiation pathway.
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TL;DR: The study of adults' glycEmia (SAGE) as discussed by the authors was a multinational, multicentre, single visit, non-interventional, cross-sectional study in adult patients with Type 1 diabetes.
Abstract: Aims: To describe glycaemic control and diabetes management in adults with type 1 diabetes (T1DM), in a real-life global setting.
Materials and methods: Study of Adults' GlycEmia (SAGE) was a multinational, multicentre, single visit, non-interventional, cross-sectional study in adult patients with T1DM. Data were collected at a single visit, analysed according to predefined age groups (26-44, 45-64, and ≥65 years), and reported across different regions. The primary endpoint was the proportion of participants achieving HbA1c <7.0 % in each age group. Secondary endpoints included incidence of hypoglycaemia, severe hypoglycaemia and severe hyperglycaemia leading to diabetic ketoacidosis (DKA), and therapeutic management of T1DM.
Results: Of 3903 included participants, 3858 (98.8%) were eligible for the study. Overall, 24.3% (95% confidence interval [CI]: 22.9 to 25.6) of participants achieved the glycaemic target of HbA1c <7.0 %, with more participants achieving this target in the 26-44 years group (27.6% [95% CI: 25.5 to 29.8]). Target achievement was highest in Eastern and Western Europe, and lowest in the Middle East. The incidence of hypoglycaemia and of severe hyperglycaemia leading to DKA tended to decrease with age, and varied across regions. Age and regional differences were observed in therapeutic management, including types of device/insulin usage, frequency of insulin dose adjustment, and technology usage.
Conclusions: Glycaemic control remains poor in adults with T1DM globally. Several areas of treatment may be optimised to improve outcomes, including supporting patient self-management of insulin therapy, increasing use of technologies such as CGM, and greater provision of healthcare support. This article is protected by copyright. All rights reserved.
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Kyoto University1, Polish Academy of Sciences2, Saint Petersburg State University3, University of Social Sciences and Humanities4, King Saud University5, Warsaw School of Economics6, University of Georgia7, University of Brasília8, Carleton University9, Hong Kong Polytechnic University10, Lingnan University11, Roma Tre University12, ISCTE – University Institute of Lisbon13, Academy of Sciences of the Czech Republic14, Universidad del Desarrollo15, Renmin University of China16, University of Sussex17, University of Essex18, University of Toulouse19, National Chengchi University20, South-West University "Neofit Rilski"21, National University of La Matanza22, Zürcher Fachhochschule23, Vilnius University24, University of Oslo25, University of Belgrade26, National and Kapodistrian University of Athens27, Tilburg University28, ICESI University29, International Islamic University Malaysia30, University of Cagliari31, University of Rijeka32, Universidad del Valle de Guatemala33, Omsk State University34, Indiana University35, Johannes Kepler University of Linz36, Palacký University, Olomouc37, Istanbul Bilgi University38, University of Limerick39, Baze University40, University of Koblenz and Landau41, West University of Timișoara42, University of Iceland43, Eötvös Loránd University44, Hungarian Academy of Sciences45, Tbilisi State University46, Tallinn University47, Nord University48, University of Luxembourg49, University of Ghana50, Monash University, Clayton campus51
TL;DR: This article found that individualism correlates with societal happiness because the most common measure of societal happiness (i.e., country-level aggregates of personal life satisfaction) is individualism-themed.
Abstract: Numerous studies document that societal happiness is correlated with individualism, but the nature of this phenomenon remains understudied. In the current paper, we address this gap and test the reasoning that individualism correlates with societal happiness because the most common measure of societal happiness (i.e., country-level aggregates of personal life satisfaction) is individualism-themed. With the data collected from 13,009 participants across fifty countries, we compare associations of four types of happiness (out of which three are more collectivism-themed than personal life satisfaction) with two different measures of individualism. We replicated previous findings by demonstrating that societal happiness measured as country-level aggregate of personal life satisfaction is correlated with individualism. Importantly though, we also found that the country-level aggregates of the collectivism-themed measures of happiness do not tend to be significantly correlated with individualism. Implications for happiness studies and for policy makers are signaled.
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TL;DR: In this paper, the authors present a European Union/European Economic Area-wide overview of the changes in consumption of antibacterials for systemic use (ATC J01) in the community between 2019 and 2020 as reported to the European Surveillance of Antimicrobial Consumption Network.
Abstract: We present a European Union/European Economic Area-wide overview of the changes in consumption of antibacterials for systemic use (ATC J01) in the community between 2019 and 2020 as reported to the European Surveillance of Antimicrobial Consumption Network. Overall antibiotic consumption decreased by 18.3% between 2019 and 2020, the largest annual decrease in the network's two-decade history. We observed a strong association between the level of community antibiotic consumption in 2019 and the size of the decrease between 2019 and 2020.
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TL;DR: T thorough characterisation and evaluation of BA- and/or DO-based materials and relevant soils (with an emphasis on metal sorption/immobilisation) prior to application in (agro) ecosystems is crucial for producing food clean of toxic metals.
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TL;DR: In this article, the authors investigate the gamma-ray emission from binary neutron star (BNS) mergers in conjunction with data at other wavelengths and investigate its origin in the framework of GRB afterglow models using one-zone models of synchrotron self-compton emission from the external forward shock.
Abstract: The coincident detection of GW170817 in gravitational waves and electromagnetic radiation spanning the radio to MeV gamma-ray bands provided the first direct evidence that short gamma-ray bursts (GRBs) can originate from binary neutron star (BNS) mergers. On the other hand, the properties of short GRBs in high-energy gamma-rays are still poorly constrained, with only similar to 20 events detected in the GeV band, and none in the TeV band. GRB 160821B is one of the nearest short GRBs known at z = 0.162. Recent analyses of the multiwavelength observational data of its afterglow emission revealed an optical-infrared kilonova component, characteristic of heavy-element nucleosynthesis in a BNS merger. Aiming to better clarify the nature of short GRBs, this burst was automatically followed up with the MAGIC telescopes, starting from 24 s after the burst trigger. Evidence of a gamma-ray signal is found above similar to 0.5 TeV at a significance of similar to 3 sigma during observations that lasted until 4 hr after the burst. Assuming that the observed excess events correspond to gamma-ray emission from GRB 160821B, in conjunction with data at other wavelengths, we investigate its origin in the framework of GRB afterglow models. The simplest interpretation with one-zone models of synchrotron-self-Compton emission from the external forward shock has difficulty accounting for the putative TeV flux. Alternative scenarios are discussed where the TeV emission can be relatively enhanced. The role of future GeV-TeV observations of short GRBs in advancing our understanding of BNS mergers and related topics is briefly addressed.
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TL;DR: In this paper, the melting and solidification processes in the shell-and-tube type latent thermal energy storage (LTES) with longitudinal fins were numerically studied in order to determine an accurate and time-effective model for describing charging and discharging processes.
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TL;DR: This paper showed that MCMV infection causes a dramatic increase in the expression of microglia-derived chemokines CXCL9/CXCL10, which recruit NK and ILC1 cells into the brain in a CXCR3-dependent manner.
Abstract: Congenital human cytomegalovirus (cHCMV) infection of the brain is associated with a wide range of neurocognitive sequelae. Using infection of newborn mice with mouse cytomegalovirus (MCMV) as a reliable model that recapitulates many aspects of cHCMV infection, including disseminated infection, CNS infection, altered neurodevelopment, and sensorineural hearing loss, we have previously shown that mitigation of inflammation prevented alterations in cerebellar development, suggesting that host inflammatory factors are key drivers of neurodevelopmental defects. Here, we show that MCMV infection causes a dramatic increase in the expression of the microglia-derived chemokines CXCL9/CXCL10, which recruit NK and ILC1 cells into the brain in a CXCR3-dependent manner. Surprisingly, brain-infiltrating innate immune cells not only were unable to control virus infection in the brain but also orchestrated pathological inflammatory responses, which lead to delays in cerebellar morphogenesis. Our results identify NK and ILC1 cells as the major mediators of immunopathology in response to virus infection in the developing CNS, which can be prevented by anti-IFN-γ antibodies.
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TL;DR: The study showed relatively small SARS-CoV-2 antibody seroprevalence in the DIV Group population sample, compared with previous studies that have detected large numbers of antibodies in industry workers population sample.
Abstract: OBJECTIVES: To examine seroprevalence of SARS-CoV-2 antibodies in industry workers population sample. METHODS: From 23 to 28 April 2020, we conducted serological testing for antibodies (IgG and IgM) on 1494 factory employees living in the Split-Dalmatia and Sibenik-Knin County (Croatia). RESULTS: We detected antibodies in 1.27% of participants (95% CI 0.77-1.98%). In Split facility 13/1316 (0.99%, 95% CI 0.53-1.68%) of participants were tested positive, of which 13/1079 (1.20%, 95% CI 0.64-2.05%) of those living outside the facility and 0/237 (0%, 95% CI 0-1.26%) of those living inside the facility. In Knin facility, 6/178 (3.37%, 95% CI 1.25-7.19%) participants were tested positive for antibodies. CONCLUSIONS: The study showed relatively small SARS-CoV-2 antibody seroprevalence in the DIV Group population sample.
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TL;DR: In this paper, the authors examined socio-demographic characteristics associated with emotional and social loneliness among older adults, including age, sex, living situation, educational level, migration background, and socio-economic status.
Abstract: International studies provide an overview of socio-demographic characteristics associated with loneliness among older adults, but few studies distinguished between emotional and social loneliness. This study examined socio-demographic characteristics associated with emotional and social loneliness. Data of 2251 community-dwelling older adults, included at the baseline measure of the Urban Health Centers Europe (UHCE) project, were analysed. Loneliness was measured with the 6-item De Jong-Gierveld Loneliness Scale. Multivariable logistic regression models were used to evaluate associations between age, sex, living situation, educational level, migration background, and loneliness. The mean age of participants was 79.7 years (SD = 5.6 years); 60.4% women. Emotional and social loneliness were reported by 29.2 and 26.7% of the participants; 13.6% experienced emotional and social loneliness simultaneously. Older age (OR: 1.16, 95% CI: 1.06–1.28), living without a partner (2.16, 95% CI: 1.73–2.70), and having a low educational level (OR: 1.82, 95% CI: 1.21–2.73), were associated with increased emotional loneliness. Women living with a partner were more prone to emotional loneliness than men living with a partner (OR: 1.78, 95% CI: 1.31–2.40). Older age (OR: 1.11, 95% CI: 1.00–1.22) and having a low educational level (OR: 1.77, 95% CI: 1.14–2.74) were associated with increased social loneliness. Men living without a partner were more prone to social loneliness than men living with a partner (OR: 1.94, 95% CI: 1.35–2.78). Socio-demographic characteristics associated with emotional and social loneliness differed regarding sex and living situation. Researchers, policy makers, and healthcare professionals should be aware that emotional and social loneliness may affect older adults with different socio-demographic characteristics.
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University of Hamburg1, University of Urbino2, University of Zagreb3, Uppsala University4, Free University of Berlin5, Karolinska Institutet6, University of Warsaw7, University of Coimbra8, University of Porto9, Vilnius University10, University of Nicosia11, Ilia State University12, University of Twente13, University of Vienna14, Utrecht University15, University of Rijeka16
TL;DR: In this paper, a cross-sectional exploratory study examined relationships between risk and protective factors, stressors, and symptoms of adjustment disorder during the first year of the COVID-19 pandemic.
Abstract: Background: The COVID-19 pandemic exposes individuals to multiple stressors, such as quarantine, physical distancing, job loss, risk of infection, and loss of loved ones. Such a complex array of stressors potentially lead to symptoms of adjustment disorder. Objective: This cross-sectional exploratory study examined relationships between risk and protective factors, stressors, and symptoms of adjustment disorder during the first year of the COVID-19 pandemic. Methods: Data from the first wave of the European Society of Traumatic Stress Studies (ESTSS) longitudinal ADJUST Study were used. N = 15,563 participants aged 18 years and above were recruited in eleven countries (Austria, Croatia, Georgia, Germany, Greece, Italy, Lithuania, the Netherlands, Poland, Portugal, and Sweden) from June to November 2020. Associations between risk and protective factors (e.g. gender, diagnosis of a mental health disorder), stressors (e.g. fear of infection, restricted face-to-face contact), and symptoms of adjustment disorder (ADNM-8) were examined using multivariate linear regression. Results: The prevalence of self-reported probable adjustment disorder was 18.2%. Risk factors associated with higher levels of symptoms of adjustment disorder were female gender, older age, being at risk for severe COVID-19 illness, poorer general health status, current or previous trauma exposure, a current or previous mental health disorder, and longer exposure to COVID19 news. Protective factors related to lower levels of symptoms of adjustment disorder were higher income, being retired, and having more face-to-face contact with loved ones or friends. Pandemic-related stressors associated with higher levels of symptoms of adjustment disorder included fear of infection, governmental crisis management, restricted social contact, work- related problems, restricted activity, and difficult housing conditions. Conclusions: We identified stressors, risk, and protective factors that may help identify individuals at higher risk for adjustment disorder.