Showing papers by "University of Zagreb published in 2021"
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Daniel J. Klionsky1, Amal Kamal Abdel-Aziz2, Sara Abdelfatah3, Mahmoud Abdellatif4 +2980 more•Institutions (777)
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
1,129 citations
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Centre for Mental Health1, Swansea University2, University of Sydney3, University of Manchester4, University College Cork5, Griffith University6, Stellenbosch University7, Sao Paulo State University8, University of Zagreb9, University of Rochester Medical Center10, University of Udine11, National Taiwan University12, Innsbruck Medical University13, Yale University14, Australian National University15, Johns Hopkins University16, Brigham and Women's Hospital17, University of Auckland18, Hobart Corporation19, Columbia University Medical Center20, University of Oxford21, National Institute for Health Research22, Aga Khan University23, Katholieke Universiteit Leuven24, University of Bristol25, University of Peradeniya26, World Health Organization27, Karolinska Institutet28, First Pavlov State Medical University of St. Peterburg29, Medical University of Vienna30, University of Nottingham31, University of Glasgow32, University of Edinburgh33, Shanghai Jiao Tong University34, Columbia University35, University of Ulm36, University of Oslo37, Goethe University Frankfurt38, Saint Petersburg State University39, University of Toronto40, Sunnybrook Health Sciences Centre41, Waseda University42, Rajarata University of Sri Lanka43, Tel Aviv University44, University Hospitals Bristol NHS Foundation Trust45
TL;DR: In this article, the early effect of the COVID-19 pandemic on suicide rates around the world was assessed using real-time suicide data from countries or areas within countries through a systematic internet search and recourse to our networks and the published literature.
413 citations
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TL;DR: In this paper, the authors reviewed recent developments of hydrogen technologies, their social, industrial, and environmental standing, as well as the stage of transitioning economies of both advanced and beginner countries.
299 citations
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Idaho State University1, Texas A&M University2, University of Zagreb3, California State University, Los Angeles4, College of William & Mary5, Thomas Jefferson National Accelerator Facility6, Istituto Nazionale di Fisica Nucleare7, Louisiana Tech University8, Mississippi State University9, University of Manitoba10, University of Virginia11, State University of New York System12, Carnegie Mellon University13, University of Connecticut14, Hampton University15, University of Massachusetts Amherst16, Old Dominion University17, Temple University18, Indiana University19, Ohio University20, Syracuse University21, Duquesne University22, University of Winnipeg23, Veer Kunwar Singh University24, Virginia Tech25, Argonne National Laboratory26, Yerevan Physics Institute27, University of Mainz28, Christopher Newport University29, Shandong University30
TL;DR: In this paper, the parity-violating asymmetry in the elastic scattering of longitudinally polarized electrons from 208 Pb was measured, leading to an extraction of the neutral weak form factor F = 0.0036(exp)±0.0013(theo)
Abstract: We report a precision measurement of the parity-violating asymmetry A_{PV} in the elastic scattering of longitudinally polarized electrons from ^{208}Pb. We measure A_{PV}=550±16(stat)±8(syst) parts per billion, leading to an extraction of the neutral weak form factor F_{W}(Q^{2}=0.00616 GeV^{2})=0.368±0.013. Combined with our previous measurement, the extracted neutron skin thickness is R_{n}-R_{p}=0.283±0.071 fm. The result also yields the first significant direct measurement of the interior weak density of ^{208}Pb: ρ_{W}^{0}=-0.0796±0.0036(exp)±0.0013(theo) fm^{-3} leading to the interior baryon density ρ_{b}^{0}=0.1480±0.0036(exp)±0.0013(theo) fm^{-3}. The measurement accurately constrains the density dependence of the symmetry energy of nuclear matter near saturation density, with implications for the size and composition of neutron stars.
239 citations
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08 Jan 2021TL;DR: In this article, the authors focused on phenolic acids, flavonoids, stilbenoids, and lignans and focused their review on how different polyphenol structures influence their biological activity and their roles in abiotic stress responses.
Abstract: Abiotic stressors such as extreme temperatures, drought, flood, light, salt, and heavy metals alter biological diversity and crop production worldwide. Therefore, it is important to know the mechanisms by which plants cope with stress conditions. Polyphenols, which are the largest group of plant-specialized metabolites, are generally recognized as molecules involved in stress protection in plants. This diverse group of metabolites contains various structures, from simple forms consisting of one aromatic ring to more complex ones consisting of large number of polymerized molecules. Consequently, all these molecules, depending on their structure, may show different roles in plant growth, development, and stress protection. In the present review, we aimed to summarize data on how different polyphenol structures influence their biological activity and their roles in abiotic stress responses. We focused our review on phenolic acids, flavonoids, stilbenoids, and lignans.
200 citations
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TL;DR: This paper conducted a meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants.
Abstract: Prostate cancer is a highly heritable disease with large disparities in incidence rates across ancestry populations. We conducted a multiancestry meta-analysis of prostate cancer genome-wide association studies (107,247 cases and 127,006 controls) and identified 86 new genetic risk variants independently associated with prostate cancer risk, bringing the total to 269 known risk variants. The top genetic risk score (GRS) decile was associated with odds ratios that ranged from 5.06 (95% confidence interval (CI), 4.84–5.29) for men of European ancestry to 3.74 (95% CI, 3.36–4.17) for men of African ancestry. Men of African ancestry were estimated to have a mean GRS that was 2.18-times higher (95% CI, 2.14–2.22), and men of East Asian ancestry 0.73-times lower (95% CI, 0.71–0.76), than men of European ancestry. These findings support the role of germline variation contributing to population differences in prostate cancer risk, with the GRS offering an approach for personalized risk prediction.
200 citations
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TL;DR: In this paper, the effects of climate change and global warming on agricultural pest management are discussed and several priorities can be identified for future research, such as modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.
Abstract: Climate change and global warming are of great concern to agriculture worldwide and are among the most discussed issues in today’s society. Climate parameters such as increased temperatures, rising atmospheric CO2 levels, and changing precipitation patterns have significant impacts on agricultural production and on agricultural insect pests. Changes in climate can affect insect pests in several ways. They can result in an expansion of their geographic distribution, increased survival during overwintering, increased number of generations, altered synchrony between plants and pests, altered interspecific interaction, increased risk of invasion by migratory pests, increased incidence of insect-transmitted plant diseases, and reduced effectiveness of biological control, especially natural enemies. As a result, there is a serious risk of crop economic losses, as well as a challenge to human food security. As a major driver of pest population dynamics, climate change will require adaptive management strategies to deal with the changing status of pests. Several priorities can be identified for future research on the effects of climatic changes on agricultural insect pests. These include modified integrated pest management tactics, monitoring climate and pest populations, and the use of modelling prediction tools.
191 citations
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TL;DR: In this paper, an overview of the development of academic literature published between 2010 and 2019 with regards to the relationship between digitalization and business models in 198 peer-reviewed articles is presented.
168 citations
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TL;DR: The results of ANOVA analysis showed the respondents being more partial towards learning via mobile applications and video content over the traditional form, and the students tended to emulate their teachers who integrated modern technologies into their curriculum and used it outside classroom hours for learning.
160 citations
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South China Normal University1, Université Paris-Saclay2, Chinese Academy of Sciences3, Nankai University4, Xinyang Normal University5, Guangzhou University6, Hunan University7, Nanjing University8, Huazhong University of Science and Technology9, fondazione bruno kessler10, Peking University11, Hunan Normal University12, Nanjing Normal University13, Northeastern University (China)14, Southwest Jiaotong University15, University of Zagreb16, Joint Institute for Nuclear Research17, Zhengzhou University18, Lanzhou University19, Shandong University20, Central China Normal University21, Southeast University22, Fudan University23, Chongqing University24, VU University Amsterdam25, Nanjing University of Aeronautics and Astronautics26, Dalian University of Technology27, Beihang University28, Shanghai Jiao Tong University29, Lanzhou University of Technology30, University of Science and Technology of China31, The Chinese University of Hong Kong32, Nanjing University of Posts and Telecommunications33, Huangshan University34, University of Electronic Science and Technology of China35, Tsinghua University36, Michigan State University37, Beijing Normal University38, Sun Yat-sen University39, Wuhan University40, China University of Geosciences (Wuhan)41
TL;DR: In this article, an Electron-ion collider in China (EicC) has been proposed, which will be constructed based on an upgraded heavy-ion accelerator, High Intensity heavy ion Accelerator Facility (HIAF), together with a new electron ring.
Abstract: Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei. As a future high energy nuclear physics project, an Electron-ion collider in China (EicC) has been proposed. It will be constructed based on an upgraded heavy-ion accelerator, High Intensity heavy-ion Accelerator Facility (HIAF) which is currently under construction, together with a new electron ring. The proposed collider will provide highly polarized electrons (with a polarization of ∼80%) and protons (with a polarization of ∼70%) with variable center of mass energies from 15 to 20 GeV and the luminosity of (2–3) × 10$^{33}$ cm$^{−2}$ · s$^{−1}$. Polarized deuterons and Helium-3, as well as unpolarized ion beams from Carbon to Uranium, will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region, including 3D tomography of nucleon; the partonic structure of nuclei and the parton interaction with the nuclear environment; the exotic states, especially those with heavy flavor quark contents. In addition, issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC. In order to achieve the above-mentioned physics goals, a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe. The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States. The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China.[graphic not available: see fulltext]
154 citations
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TL;DR: Investigating the intellectual structure and trends of KM in Industry 4.0 and its consequences reveals six clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge.
Abstract: Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present article investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal six clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.
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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.
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Johns Hopkins University School of Medicine1, Houston Methodist Hospital2, University of Miami3, Rabin Medical Center4, University of Virginia5, Virginia Commonwealth University6, Columbia University7, University of Zagreb8, Duke University9, University of North Carolina at Chapel Hill10, Mayo Clinic11, Yale University12, University of California, San Diego13, University of Paris14
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TL;DR: In this paper, the authors focus on solutions that improve the ability of the grid to cope with variable renewable energy sources (vRES) unpredictability such as energy storage technologies and all the solutions offered by sector coupling strategies.
Abstract: European Union has definitely identified the priorities towards sustainable and low-carbon energy systems recognizing a key role to islands that have been described as ideal sites to develop and test innovative strategies and solutions that will then boost the transition on the mainland. Nevertheless, the integration of Variable Renewable Energy Sources (vRES) into the electricity grid are already causing technical problems to island grids thus making grid flexibility a key topic. In the past, since power plants were completely manageable while the load was unpredictable, the grid flexibility was supplied by traditional power plants; but now, due to vRES, the variability and unpredictability has moved to the generation side and the opposite shift has happened to flexibility agents. This paper deals with solutions that improve the ability of the grid to cope with vRES unpredictability such as energy storage technologies and all the solutions offered by sector coupling strategies. Particularly, this research focus on solutions that deals with such solutions in the insular contexts. Several solutions have been presented concluding that battery energy systems and pumped hydro energy storage are the most used technologies in islands. As regard sector coupling and Demand Side Management solutions, all the analysed solutions showed relevant results in terms of i) reduction of excess electricity production and ii) increased grid ability of hosting vRES. Nevertheless, some of the current gaps in literature have been pinpointed and future research challenge and opportunities have been suggested.
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University of Paris1, Istituto Superiore di Sanità2, University of Padua3, Charité4, University of Helsinki5, Oslo University Hospital6, Clínica Alemana7, Innsbruck Medical University8, Imperial College London9, University of Zagreb10, Federal University of São Paulo11, Canadian Blood Services12, NHS Blood and Transplant13, University of Pennsylvania14, Eurotransplant15
TL;DR: In this paper, the effect of the COVID-19 pandemic on transplantation and investigate if the pandemic was associated with heterogeneous adaptation in terms of organ transplantation, with ensuing consequences for waitlisted patients.
Abstract: Summary Background Preliminary data suggest that COVID-19 has reduced access to solid organ transplantation. However, the global consequences of the COVID-19 pandemic on transplantation rates and the effect on waitlisted patients have not been reported. We aimed to assess the effect of the COVID-19 pandemic on transplantation and investigate if the pandemic was associated with heterogeneous adaptation in terms of organ transplantation, with ensuing consequences for waitlisted patients. Methods In this population-based, observational, before-and-after study, we collected and validated nationwide cohorts of consecutive kidney, liver, lung, and heart transplants from 22 countries. Data were collected from Jan 1 to Dec 31, 2020, along with data from the same period in 2019. The analysis was done from the onset of the 100th cumulative COVID-19 case through to Dec 31, 2020. We assessed the effect of the pandemic on the worldwide organ transplantation rate and the disparity in transplant numbers within each country. We estimated the number of waitlisted patient life-years lost due to the negative effects of the pandemic. The study is registered with ClinicalTrials.gov , NCT04416256 . Findings Transplant activity in all countries studied showed an overall decrease during the pandemic. Kidney transplantation was the most affected, followed by lung, liver, and heart. We identified three organ transplant rate patterns, as follows: countries with a sharp decrease in transplantation rate with a low COVID-19-related death rate; countries with a moderate decrease in transplantation rate with a moderate COVID-19-related death rate; and countries with a slight decrease in transplantation rate despite a high COVID-19-related death rate. Temporal trends revealed a marked worldwide reduction in transplant activity during the first 3 months of the pandemic, with losses stabilising after June, 2020, but decreasing again from October to December, 2020. The overall reduction in transplants during the observation time period translated to 48 239 waitlisted patient life-years lost. Interpretation We quantified the impact of the COVID-19 pandemic on worldwide organ transplantation activity and revealed heterogeneous adaptation in terms of organ transplantation, both at national levels and within countries, with detrimental consequences for waitlisted patients. Understanding how different countries and health-care systems responded to COVID-19-related challenges could facilitate improved pandemic preparedness, notably, how to safely maintain transplant programmes, both with immediate and non-immediate life-saving potential, to prevent loss of patient life-years. Funding French national research agency (INSERM) ATIP Avenir and Fondation Bettencourt Schueller.
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Daphne Donis1, Evanthia Mantzouki1, Daniel Frank Mcginnis1, Dominic Vachon2 +199 more•Institutions (65)
TL;DR: In this article, Verspagen, van Herk and van Wijk present a collection of essays with the same authors, including a discussion of the role of gender in the relationship between women and women's empowerment.
Abstract: Output Status: Forthcoming/Available Online Additional co-authors: Jolanda Verspagen, Maria van Herk, Maria G. Antoniou, Nikoletta Tsiarta, Valerie McCarthy, Victor C. Perello, Danielle Machado-Vieira, Alinne Gurjao de Oliveira, Dubravka Spoljaric Maronic, Filip Stevic, Tanja Žuna Pfeiffer, Itana Bokan Vucelic, Petar Žutinic, Marija Gligora Udovic, Anđelka Plenkovic-Moraj, Ludek Blaha, Rodan Geris, Marketa Frankova, Kirsten Seestern Christoffersen, Trine Perlt Warming, Tonu Feldmann, Alo Laas, Kristel Panksep, Lea Tuvikene, Kersti Kangro, Judita Koreiviene, Jurate Karosiene, Jurate Kasperoviciene, Ksenija Savadova-Ratkus, Irma Vitonyte, Kerstin Haggqvist, Pauliina Salmi, Lauri Arvola, Karl Rothhaupt, Christos Avagianos, Triantafyllos Kaloudis, Spyros Gkelis, Manthos Panou, Theodoros Triantis, Sevasti-Kiriaki Zervou, Anastasia Hiskia, Ulrike Obertegger, Adriano Boscaini, Giovanna Flaim, Nico Salmaso, Leonardo Cerasino, Sigrid Haande, Birger Skjelbred, Magdalena Grabowska, Maciej Karpowicz, Damian Chmura, Lidia Nawrocka, Justyna Kobos, Hanna Mazur-Marzec, Pablo Alcaraz-Parraga, Elzbieta Wilk-Wozniak, Wojciech Krzton, Edward Walusiak, Ilona Gagala-Borowska, Joana Mankiewicz-Boczek, Magdalena Toporowska, Barbara Pawlik-Skowronska, Michal Niedzwiecki, Wojciech Peczula, Agnieszka Napiorkowska-Krzebietke, Julita Dunalska, Justyna Sienska, Daniel Szymanski, Marek Kruk, Agnieszka Budzynska, Ryszard Goldyn, Anna Kozak, Joanna Rosinska, Elzbieta Szeląg-Wasielewska, Piotr Domek, Natalia Jakubowska-Krepska, Kinga Kwasizur, Beata Messyasz, Aleksandra Pelechata, Mariusz Pelechaty, Mikolaj Kokocinski, Beata Madrecka-Witkowska, Iwona Kostrzewska-Szlakowska, Magdalena Frąk, Agnieszka Bankowska-Sobczak, Michal Wasilewicz, Agnieszka Ochocka, Agnieszka Pasztaleniec, Iwona Jasser, Ana M. Antao-Geraldes, Manel Leira, Vitor Vasconcelos, Joao Morais, Micaela Vale, Pedro M. Raposeiro, Vitor Goncalves, Boris Aleksovski, Svetislav Krstic, Hana Nemova, Iveta Drastichova, Lucia Chomova, Spela Remec-Rekar, Tina Elersek, Lars-Anders Hansson, Pablo Urrutia-Cordero, Andrea G. Bravo, Moritz Buck, William Colom-Montero, Kristiina Mustonen, Don Pierson, Yang Yang, Christine Edwards, Hannah Cromie, Jordi Delgado-Martin, David Garcia, Jose Luis Cereijo, Joan Goma, Mari Carmen Trapote, Teresa Vegas-Vilarrubia, Biel Obrador, Ana Garcia-Murcia, Monserrat Real, Elvira Romans, Jordi Noguero-Ribes, David Parreno Duque, Elisabeth Fernandez-Moran, Barbara Ubeda, Jose Angel Galvez, Nuria Catalan, Carmen Perez-Martinez, Eloisa Ramos-Rodriguez, Carmen Cillero-Castro, Enrique Moreno-Ostos, Jose Maria Blanco, Valeriano Rodriguez, Jorge Juan Montes-Perez, Roberto L. Palomino, Estela Rodriguez-Perez, Armand Hernandez, Rafael Carballeira, Antonio Camacho, Antonio Picazo, Carlos Rochera, Anna C. Santamans, Carmen Ferriol, Susana Romo, Juan Miguel Soria, Arda Ozen, Tunay Karan, Nilsun Demir, Meryem Beklioglu, Nur Filiz, Eti Levi, Ugur Iskin, Gizem Bezirci, Ulku Nihan Tavsanoglu, Kemal Celik, Koray Ozhan, Nusret Karakaya, Mehmet Ali Turan Kocer, Mete Yilmaz, Faruk Maras¸lioglu, Ozden Fakioglu, Elif Neyran Soylu, Meral Apaydin Yagci, Sakir Cinar, Kadir Capkin, Abdulkadir Yagci, Mehmet Cesur, Fuat Bilgin, Cafer Bulut, Rahmi Uysal, Koker Latife, Reyhan Akcaalan, Meric Albay, Mehmet Tahir Alp, Korhan Ozkan, Tugba Ongun Sevindik, Hatice Tunca, Burcin Onem, Hans Paerl, Cayelan C. Carey, Bastiaan W. Ibelings
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University of Porto1, University of Brescia2, Saarland University3, Hannover Medical School4, Rabin Medical Center5, Cairo University6, National and Kapodistrian University of Athens7, Vilnius University8, University of Cyprus9, University of Ferrara10, Queen's University Belfast11, Wrocław Medical University12, Utrecht University13, Linköping University14, University of Ljubljana15, The Volgograd State Medical University16, Karolinska University Hospital17, University of Zagreb18, University of Hasselt19, University of Lisbon20, Charité21, University of Belgrade22, Serbian Academy of Sciences and Arts23, University of Warwick24
TL;DR: In this article, the authors identified nine patient profiles that may be relevant for treatment implementation in heart failure patients with a reduced ejection fraction, taking into account heart rate ( 70 bpm), the presence of atrial fibrillation, symptomatic low blood pressure, estimated glomerular filtration rate ( 30 mL/min/1.73 m2 ), or hyperkalaemia.
Abstract: Despite guideline recommendations and available evidence, implementation of treatment in heart failure (HF) is poor. The majority of patients are not prescribed drugs at target doses that have been proven to positively impact morbidity and mortality. Among others, tolerability issues related to low blood pressure, heart rate, impaired renal function or hyperkalaemia are responsible. Chronic kidney disease plays an important role as it affects up to 50% of patients with HF. Also, dynamic changes in estimated glomerular filtration rate may occur during the course of HF, resulting in inappropriate dose reduction or even discontinuation of decongestive or neurohormonal modulating therapy in clinical practice. As patients with HF are rarely naive to pharmacologic therapies, the challenge is to adequately prioritize or select the most appropriate up-titration schedule according to patient profile. In this consensus document, we identified nine patient profiles that may be relevant for treatment implementation in HF patients with a reduced ejection fraction. These profiles take into account heart rate ( 70 bpm), the presence of atrial fibrillation, symptomatic low blood pressure, estimated glomerular filtration rate ( 30 mL/min/1.73 m2 ) or hyperkalaemia. The pre-discharge patient, frequently still congestive, is also addressed. A personalized approach, adjusting guideline-directed medical therapy to patient profile, may allow to achieve a better and more comprehensive therapy for each individual patient than the more traditional, forced titration of each drug class before initiating treatment with the next.
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TL;DR: A study of selected articles by means of Multiple Correspondence Analysis (MCA) procedure outlines several research avenues related to the adoption, use, and acceptance of AI technology in marketing, the role of data protection and ethics, therole of institutional support for marketing AI, as well as the revolution of the labor market and marketers’ competencies.
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TL;DR: In this article, the loss in a topological defect potential in a non-Hermitian photonic lattice can be tuned solely by nonlinearity, enabling the transition between parity-time symmetry and non-PT symmetry regimes and the maneuvering of topological zero modes.
Abstract: Topology, parity-time (PT) symmetry, and nonlinearity are at the origin of many fundamental phenomena in complex systems across the natural sciences, but their mutual interplay remains unexplored. We established a nonlinear non-Hermitian topological platform for active tuning of PT symmetry and topological states. We found that the loss in a topological defect potential in a non-Hermitian photonic lattice can be tuned solely by nonlinearity, enabling the transition between PT-symmetric and non-PT-symmetric regimes and the maneuvering of topological zero modes. The interaction between two apparently antagonistic effects is revealed: the sensitivity close to exceptional points and the robustness of non-Hermitian topological states. Our scheme using single-channel control of global PT symmetry and topology via local nonlinearity may provide opportunities for unconventional light manipulation and device applications.
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01 May 2021TL;DR: Methods for the improvement of de novo genome assembly from erroneous long reads incorporated into a tool called Raven, which is one of the fastest options while having the lowest memory consumption on the majority of benchmarked datasets.
Abstract: Whole genome sequencing technologies are unable to invariably read DNA molecules intact, a shortcoming that assemblers try to resolve by stitching the obtained fragments back together. Here, we present methods for the improvement of de novo genome assembly from erroneous long reads incorporated into a tool called Raven. Raven maintains similar performance for various genomes and has accuracy on par with other assemblers that support third-generation sequencing data. It is one of the fastest options while having the lowest memory consumption on the majority of benchmarked datasets. Raven is designed to democratize genome assembly, being a simple and efficient tool while keeping high accuracy. Using a method for detection of false overlaps based on graph drawing, it can be employed for various genome sizes.
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TL;DR: In this paper, a content analysis of 239 articles indexed in Web of Science and Scopus databases, using homogeneity analysis by means of alternating least squares (HOMALS), reveals the theoretical underpinnings, research trends, and methodologies of this research field.
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Humboldt University of Berlin1, University of Mainz2, Max Planck Society3, Leibniz Association4, University of Oslo5, University of Freiburg6, Radboud University Nijmegen7, Katholieke Universiteit Leuven8, University of Warsaw9, Tel Aviv University10, Tel Aviv Sourasky Medical Center11, University of Zurich12, University of Bergamo13, Cognition and Brain Sciences Unit14, University of Bologna15, Karolinska Institutet16, Curtin University17, University of Amsterdam18, University of Belgrade19, University of Geneva20, Budapest University of Technology and Economics21, Semmelweis University22, University of Zagreb23, Comenius University in Bratislava24, University of Tehran25, Hong Kong Shue Yan University26, University of Cambridge27, National and Kapodistrian University of Athens28, University of Tartu29, Centre national de la recherche scientifique30, Lahti University of Applied Sciences31, Masaryk University32, Ghent University33, University of Oxford34, Tunghai University35, Goethe University Frankfurt36
TL;DR: In this article, a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults was used to assess resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms.
Abstract: The SARS-CoV-2 pandemic is not only a threat to physical health but is also having severe impacts on mental health. Although increases in stress-related symptomatology and other adverse psycho-social outcomes, as well as their most important risk factors have been described, hardly anything is known about potential protective factors. Resilience refers to the maintenance of mental health despite adversity. To gain mechanistic insights about the relationship between described psycho-social resilience factors and resilience specifically in the current crisis, we assessed resilience factors, exposure to Corona crisis-specific and general stressors, as well as internalizing symptoms in a cross-sectional online survey conducted in 24 languages during the most intense phase of the lockdown in Europe (22 March to 19 April) in a convenience sample of N = 15,970 adults. Resilience, as an outcome, was conceptualized as good mental health despite stressor exposure and measured as the inverse residual between actual and predicted symptom total score. Preregistered hypotheses (osf.io/r6btn) were tested with multiple regression models and mediation analyses. Results confirmed our primary hypothesis that positive appraisal style (PAS) is positively associated with resilience (p < 0.0001). The resilience factor PAS also partly mediated the positive association between perceived social support and resilience, and its association with resilience was in turn partly mediated by the ability to easily recover from stress (both p < 0.0001). In comparison with other resilience factors, good stress response recovery and positive appraisal specifically of the consequences of the Corona crisis were the strongest factors. Preregistered exploratory subgroup analyses (osf.io/thka9) showed that all tested resilience factors generalize across major socio-demographic categories. This research identifies modifiable protective factors that can be targeted by public mental health efforts in this and in future pandemics.
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TL;DR: In this paper, the authors analyzed individual cytokines involved in the immune processes with an emphasis on their function in osteoarthritis and found that the concentration of both proinflammatory and anti-inflammatory cytokines were altered depending on the OA stage and activity.
Abstract: Osteoarthritis is a common cause of disability worldwide. Although commonly referred to as a disease of the joint cartilage, osteoarthritis affects all joint tissues equally. The pathogenesis of this degenerative process is not completely understood; however, a low-grade inflammation leading to an imbalance between anabolic and katabolic processes is a well-established factor. The complex network of cytokines regulating these processes and cell communication has a central role in the development and progression of osteoarthritis. Concentrations of both proinflammatory and anti-inflammatory cytokines were found to be altered depending on the osteoarthritis stage and activity. In this review, we analyzed individual cytokines involved in the immune processes with an emphasis on their function in osteoarthritis.
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Universidade Nova de Lisboa1, Max Planck Society2, Wageningen University and Research Centre3, University of Sheffield4, University of Leicester5, International Institute for Applied Systems Analysis6, Russian Academy of Sciences7, Siberian Federal University8, Tokyo Denki University9, University of Valencia10, University of Zagreb11, Tomsk State University12, University of Manchester13, Forestry Commission14, Centre national de la recherche scientifique15, Purdue University16, University of Bedfordshire17, University of Edinburgh18, University of Dundee19, Tuscia University20, Ghent University21, World Resources Institute22, Bangor University23
TL;DR: Santoro et al. as discussed by the authors used satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010 to generate a global, spatially explicit dataset of above ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1'ha.
Abstract: The terrestrial forest carbon pool is poorly quantified, in particular in regions with low forest inventory capacity. By combining multiple satellite observations of synthetic aperture radar (SAR) backscatter around the year 2010, we generated a global, spatially explicit dataset of above-ground live biomass (AGB; dry mass) stored in forests with a spatial resolution of 1 ha. Using an extensive database of 110 897 AGB measurements from field inventory plots, we show that the spatial patterns and magnitude of AGB are well captured in our map with the exception of regional uncertainties in high-carbon-stock forests with AGB >250 Mg ha−1, where the retrieval was effectively based on a single radar observation. With a total global AGB of 522 Pg, our estimate of the terrestrial biomass pool in forests is lower than most estimates published in the literature (426–571 Pg). Nonetheless, our dataset increases knowledge on the spatial distribution of AGB compared to the Global Forest Resources Assessment (FRA) by the Food and Agriculture Organization (FAO) and highlights the impact of a country's national inventory capacity on the accuracy of the biomass statistics reported to the FRA. We also reassessed previous remote sensing AGB maps and identified major biases compared to inventory data, up to 120 % of the inventory value in dry tropical forests, in the subtropics and temperate zone. Because of the high level of detail and the overall reliability of the AGB spatial patterns, our global dataset of AGB is likely to have significant impacts on climate, carbon, and socio-economic modelling schemes and provides a crucial baseline in future carbon stock change estimates. The dataset is available at https://doi.org/10.1594/PANGAEA.894711 (Santoro, 2018).
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TL;DR: In this paper, the authors present a consensus document from the European Association of Cardiovascular Imaging (EACVI) providing recommendations regarding how to determine elevated LV filling pressure in the setting of suspected heart failure with preserved ejection fraction (HFpEF) and how to use multimodality imaging to determine specific aetiologies in patients with HFpEF.
Abstract: Nearly half of all patients with heart failure (HF) have a normal left ventricular (LV) ejection fraction (EF) and the condition is termed heart failure with preserved ejection fraction (HFpEF). It is assumed that in these patients HF is due primarily to LV diastolic dysfunction. The prognosis in HFpEF is almost as severe as in HF with reduced EF (HFrEF). In contrast to HFrEF where drugs and devices are proven to reduce mortality, in HFpEF there has been limited therapy available with documented effects on prognosis. This may reflect that HFpEF encompasses a wide range of different pathological processes, which multimodality imaging is well placed to differentiate. Progress in developing therapies for HFpEF has been hampered by a lack of uniform diagnostic criteria. The present expert consensus document from the European Association of Cardiovascular Imaging (EACVI) provides recommendations regarding how to determine elevated LV filling pressure in the setting of suspected HFpEF and how to use multimodality imaging to determine specific aetiologies in patients with HFpEF.
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University of Seville1, University of Novi Sad2, University of Jena3, University of Zagreb4, Technical University of Denmark5, Spanish National Research Council6, Instituto Nacional de Saúde Dr. Ricardo Jorge7, Slovak University of Agriculture8, University of Murcia9, University of Messina10, University of Milan11, Cyprus University of Technology12, University of Agricultural Sciences, Dharwad13, Teagasc14, Ghent University15, University College Cork16
TL;DR: Carotenoids are isoprenoids widely distributed in foods that have been always part of the diet of humans as mentioned in this paper, and they are also attracting interest in the context of nutricosmetics, as they have been shown to provide cosmetic benefits when ingested in appropriate amounts.
Abstract: Carotenoids are isoprenoids widely distributed in foods that have been always part of the diet of humans. Unlike the other so-called food bioactives, some carotenoids can be converted into retinoids exhibiting vitamin A activity, which is essential for humans. Furthermore, they are much more versatile as they are relevant in foods not only as sources of vitamin A, but also as natural pigments, antioxidants, and health-promoting compounds. Lately, they are also attracting interest in the context of nutricosmetics, as they have been shown to provide cosmetic benefits when ingested in appropriate amounts. In this work, resulting from the collaborative work of participants of the COST Action European network to advance carotenoid research and applications in agro-food and health (EUROCAROTEN, www.eurocaroten.eu, https://www.cost.eu/actions/CA15136/#tabs|Name:overview) research on carotenoids in foods and feeds is thoroughly reviewed covering aspects such as analysis, carotenoid food sources, carotenoid databases, effect of processing and storage conditions, new trends in carotenoid extraction, daily intakes, use as human, and feed additives are addressed. Furthermore, classical and recent patents regarding the obtaining and formulation of carotenoids for several purposes are pinpointed and briefly discussed. Lastly, emerging research lines as well as research needs are highlighted.
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TL;DR: Nano-encapsulation as mentioned in this paper is a technique based on enclosing a bioactive compound (BAC) in liquid, solid or gaseous states within a matrix or inert material for preserving the coated substance (food or flavor molecules/ingredients).
Abstract: The design of functional foods has grown recently as an answer to rising consumers' concerns and demands for natural, nutritional and healthy food products. Nanoencapsulation is a technique based on enclosing a bioactive compound (BAC) in liquid, solid or gaseous states within a matrix or inert material for preserving the coated substance (food or flavor molecules/ingredients). Nanoencapsulation can improve stability of BACs, improving the regulation of their release at physiologically active sites. Regarding materials for food and nutraceutical applications, the most used are carbohydrate-, protein- or lipid-based alternatives such as chitosan, peptide-chitosan and β-lactoglobulin nanoparticles (NPs) or emulsion biopolymer complexes. On the other hand, the main BACs used in foods for health promoting, including antioxidants, antimicrobials, vitamins, probiotics and prebiotics and others (minerals, enzymes and flavoring compounds). Nanotechnology can also play notable role in the development of programmable food, an original futuristic concept promising the consumers to obtain high quality food of desired nutritive and sensory characteristics.
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TL;DR: In this article, a logistic regression method enhanced by the concept of supervised machine learning (logitboost) was used for developing a classification model using 13 network traffic features generated by IoT devices.
Abstract: The emergence of the Internet of Things (IoT) concept as a new direction of technological development raises new problems such as valid and timely identification of such devices, security vulnerabilities that can be exploited for malicious activities, and management of such devices. The communication of IoT devices generates traffic that has specific features and differences with respect to conventional devices. This research seeks to analyze the possibilities of applying such features for classifying devices, regardless of their functionality or purpose. This kind of classification is necessary for a dynamic and heterogeneous environment, such as a smart home where the number and types of devices grow daily. This research uses a total of 41 IoT devices. The logistic regression method enhanced by the concept of supervised machine learning (logitboost) was used for developing a classification model. Multiclass classification model was developed using 13 network traffic features generated by IoT devices. Research has shown that it is possible to classify devices into four previously defined classes with high performances and accuracy (99.79%) based on the traffic flow features of such devices. Model performance measures such as precision, F-measure, True Positive Ratio, False Positive Ratio and Kappa coefficient all show high results (0.997–0.999, 0.997–0.999, 0.997–0.999, 0–0.001 and 0.9973, respectively). Such a developed model can have its application as a foundation for monitoring and managing solutions of large and heterogeneous IoT environments such as Industrial IoT, smart home, and similar.
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TL;DR: In this article, Kopilas et al. identify the diversity of sociocultural, ethical, and political meanings attributed to face masks, how they might impact public health policies, and how they should be considered in health communication.
Abstract: Wearing face masks is recommended as part of personal protective equipment and as a public health measure to prevent the spread of coronavirus disease 2019 (COVID-19) pandemic. Their use, however, is deeply connected to social and cultural practices and has acquired a variety of personal and social meanings. This article aims to identify the diversity of sociocultural, ethical, and political meanings attributed to face masks, how they might impact public health policies, and how they should be considered in health communication. In May 2020, we involved 29 experts of an interdisciplinary research network on health and society to provide their testimonies on the use of face masks in 20 European and 2 Asian countries (China and South Korea). They reflected on regulations in the corresponding jurisdictions as well as the personal and social aspects of face mask wearing. We analyzed those testimonies thematically, employing the method of qualitative descriptive analysis. The analysis framed the four dimensions of the societal and personal practices of wearing (or not wearing) face masks: individual perceptions of infection risk, personal interpretations of responsibility and solidarity, cultural traditions and religious imprinting, and the need of expressing self-identity. Our study points to the importance for an in-depth understanding of the cultural and sociopolitical considerations around the personal and social meaning of mask wearing in different contexts as a necessary prerequisite for the assessment of the effectiveness of face masks as a public health measure. Improving the personal and collective understanding of citizens' behaviors and attitudes appears essential for designing more effective health communications about COVID-19 pandemic or other global crises in the future. To wear a face mask or not to wear a face mask? Nowadays, this question has been analogous to the famous line from Shakespeare's Hamlet: "To be or not to be, that is the question." This is a bit allegorical, but certainly not far from the current circumstances where a deadly virus is spreading amongst us... Vanja Kopilas, Croatia.
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Maria Lc Iurilli1, Bin Zhou1, James E. Bennett1, Rodrigo M. Carrillo-Larco1 +1399 more•Institutions (374)
TL;DR: In this article, the authors investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants.
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.