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Single-Step Method for the Immobilization of Hydroxyapatite on 3d-Printed Porous Polyetherketoneketone Implants for the Enhanced Cell Adhesion and Osteogenic Differentiation

SSRN

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SSRN 2025年

作者： Goreninskii, Semen Akimchenko, Igor Vorobyev, Alexander Konoplyannikov, Mikhail Efremov, Yuri Sudarev, Evgeniy A. Timashev, Peter S. Zvyagin, Andrei V. Bolbasov, Evgeny Tverdokhlebov, Sergei I. Research Center for Translational Medicine Sirius University of Science and Technology Sirius Federal Territory Olympic av. 1 354340 Russia Additive Technologies Center Tomsk Polytechnic University Lenina av. 30 Tomsk634050 Russia B.P. Weinberg Research Center Tomsk Polytechnic University Lenina av. 30 Tomsk634050 Russia Research School of Chemistry & Applied Biomedical Sciences Tomsk Polytechnic University Lenina av. 30 Tomsk634050 Russia Federal Research Clinical Center of Specialized Medical Care and Medical Technologies Federal Medical-Biological Agency of the Russian Federation Volokolamsk Highway 30 Moscow123182 Russia Institute of Molecular Theranostics Sechenov First Moscow State Medical University Trubetskaya st. 8 Moscow119991 Russia Institute for Regenerative Medicine Sechenov First Moscow State Medical University Trubetskaya st. 8 Moscow119991 Russia N.M. Kizhner Research Center Tomsk Polytechnic University Lenina av. 30 Tomsk634050 Russia Chemistry Department Lomonosov Moscow State University Leninskie Gory 1 Moscow Russia

Owing to its high mechanical performance and biocompatibility, polyetherketoneketone (PEKK) has emerged as a promising material for the development of bone implants. Previously, a method for the immobilization of hydroxyapatite (HAp) particles on the PEKK surface was proposed by our group for the enhancement of stem cell adhesion. In this study, we present a single-step method for immobilizing HAp particles on the surfaces of 3D-printed porous PEKK implants by treating them with a suspension of HAp particles in a mixture of water and 1,1,1,3,3,3-hexafluoropropan-2-ol (HFP). This approach effectively preserved the morphology (pore diameter and printed line width) of the original implants. With that, up to 35.0±14.0% of the sample surface was covered with HAp particles, leading to improved hydrophilicity (0° water contact angle). The calcium and phosphorus content on the surface of modified samples reached 17.4±4.1 wt.% and 8.0±1.7 wt.%, respectively. Importantly, the proposed modification preserved the compressive strength of the 3D-printed porous PEKK implants. HAp immobilization enhanced stem cell adhesion (from 121±40 cells/mm2 to 234±8 cells/mm2) and induced their osteogenic differentiation. Thus, the proposed method may be used for the development of PEKK-based implants for bone tissue restoration. © 2025, The Authors. All rights reserved.

关键词： Stem cells

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Real-Time Velocity and Hovering Control for Rotorcraft Based on Visual State Estimation

Real-Time Velocity and Hovering Control for Rotorcraft Based...

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Chinese Automation Congress (CAC)

作者： Hao Du Wei Wang Hongxun Liu Qi Wang Hongbiao Shi Lei Xue School of Automation Southeast University Nanjing China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET) Nanjing University of Information Science & Technology Nanjing China Graduate School of Science and Engineering chiba university Chiba Japan School of Automation Nanjing University of Information Science & Technology Nanjing China Autonomous Control Robot Laboratory Institute of Applied Research Intelligent Science & Technology Jiangsu and Chinese Academy of Sciences Changzhou China

ISBN: (纸本)9781665426480

The purpose of this thesis is to solve the velocity and hover flight control problem of rotorcraft in GNSS-denied environments by using a low-cost Optical Flow Sensor (OFS) and an RGBD camera. An OFS is employed for velocity estimation and an RGBD camera is employed for pose estimation based on ORB-SLAM2 algorithm. Firstly, the mathematical model of velocity is established, then the classical PID control is applied to realize the velocity and hover control, and the designed embedded control system is installed on the drone for flight verification. We verified the effectiveness of this system for estimating velocity, position and controlling the drone in real-time in an indoor environment, and discuss its limitations.

关键词： Visualization PI control Pose estimation Velocity control Cameras Real-time systems State estimation

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Spatial patterns of large African cats: a large-scale study on density, home range size, and home range overlap of lions Panthera leo and leopards Panthera pardus

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MAMMAL REVIEW 2023年第2期53卷 49-64页

作者： Nams, Vilis O. Parker, Dan M. Weise, Florian J. Patterson, Bruce D. Buij, Ralph Radloff, Frans G. T. Vanak, Abi Tamim. Tumenta, Pricelia. N. Hayward, Matt. W. Swanepoel, Lourens H. Funston, Paul J. Bauer, Hans Power, R. John O'Brien, John O'Brien, Timothy G. Tambling, Craig J. de Iongh, Hans H. Ferreira, Sam M. Owen-Smith, Norman Cain, James W., III Fattebert, Julien Croes, Barbara M. Spong, Goran Loveridge, Andrew J. Houser, Ann Marie Golabek, Krystyna A. Begg, Colleen M. Grant, Tanith Trethowan, Paul Musyoki, Charles Menges, Vera Creel, Scott Balme, Guy A. Pitman, Ross T. Bissett, Charlene Jenny, David Schuette, Paul Wilmers, Christopher C. Hunter, Luke T. B. Kinnaird, Margaret F. Begg, Keith S. Owen, Cailey R. Steyn, Villiers Bockmuehl, Dirk Munro, Stuart J. Mann, Gareth K. H. du Preez, Byron D. Marker, Laurie L. Huqa, Tuqa J. Cozzi, Gabriele Frank, Laurence G. Nyoni, Phumuzile Stein, Andrew B. Kasiki, Samuel M. MacDonald, David W. Martins, Quinton E. van Vuuren, Rudie J. Stratford, Ken J. Bidner, Laura R. Oriol-Cotteril, Alayne Maputla, Nakedi W. Maruping-Mzileni, Nkabeng Parker, Tim Van't Zelfde, Maarten Isbell, Lynne A. Beukes, Otto B. Beukes, Maya Department of Plant Food and Environmental Scienes Faculty of Agriculture Dalhousie University Truro NS B2N 5E3 Canada Wildlife and Reserve Management Research Group Department of Zoology & Entomology Rhodes University P.O. Box 94 Grahamstown 6140 South Africa School of Biology and Environmental Sciences University of Mpumalanga Nelspruit 1200 South Africa Centre for Wildlife Management University of Pretoria Pretoria 0002 South Africa CLAWS Conservancy Pride in Our Prides Worcester MA 01608 USA N/a'an ku sê Research Programme P.O. Box 99292 Windhoek Namibia Negaunee Integrative Research Center Field Museum of Natural History Chicago IL 60605 USA Animal Ecology Group Wageningen University & Research Droevendaalsesteeg 3A 6708 PB Wageningen The Netherlands The Peregrine Fund 5668 West Flying Hawk Lane Boise ID 83709 USA Department of Conservation and Marine Sciences Faculty of Applied Sciences Cape Peninsula University of Technology P.O. Box 652 Cape Town 8000 South Africa Ashoka Trust for Research in Ecology and the Environment Bangalore 560064 India School of Life Sciences University of KwaZulu-Natal Durban 3629 South Africa Department of Forestry Faculty of Agronomy and Agricultural Sciences University of Dschang P.O. Box 138 Yaounde Cameroon Regional Training Centre Specialized in Agriculture Forestry-wood and Environment (CRESA Foret Bois) University of Dschang P.O. Box 138 Yaounde Cameroon Conservation Science Research Group School of Environmental and Life Sciences College of Engineering Science and the Environment University of Newcastle Callaghan NSW 2308 Australia Department of Zoology and Entomology Mammal Research Institute University of Pretoria Pretoria 0002 South Africa Department of Zoology University of Venda Thohoyandou 0950 South Africa Department of Nature Conservation Tshwane University of Technology Private Bag X680 Pretoria 0001 South Africa Panthera New York NY 10018 USA Wildlife Conservation Research Unit Zoology

Spatial patterns of and competition for resources by territorial carnivores are typically explained by two hypotheses: 1) the territorial defence hypothesis and 2) the searching efficiency hypothesis. According to the territorial defence hypothesis, when food resources are abundant, carnivore densities will be high and home ranges small. In addition, carnivores can maximise their necessary energy intake with minimal territorial defence. At medium resource levels, larger ranges will be needed, and it will become more economically beneficial to defend resources against a lower density of competitors. At low resource levels, carnivore densities will be low and home ranges large, but resources will be too scarce to make it beneficial to defend such large territories. Thus, home range overlap will be minimal at intermediate carnivore densities. According to the searching efficiency hypothesis, there is a cost to knowing a home range. Larger areas are harder to learn and easier to forget, so carnivores constantly need to keep their cognitive map updated by regularly revisiting parts of their home ranges. Consequently, when resources are scarce, carnivores require larger home ranges to acquire sufficient food. These larger home ranges lead to more overlap among individuals' ranges, so that overlap in home ranges is largest when food availability is the lowest. Since conspecific density is low when food availability is low, this hypothesis predicts that overlap is largest when densities are the lowest. We measured home range overlap and used a novel method to compare intraspecific home range overlaps for lions Panthera leo (n = 149) and leopards Panthera pardus (n = 111) in Africa. We estimated home range sizes from telemetry location data and gathered carnivore density data from the literature. Our results did not support the territorial defence hypothesis for either species. Lion prides increased their home range overlap at conspecific lower densities whereas leopards did

关键词： African cats home range overlap leopards Panther pardus lions Panthera leo movement searching efficiency territorial defence

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LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping

arXiv

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arXiv 2025年

作者： Schmidinger, Jonas Vogel, Sebastian Barkov, Viacheslav Pham, Anh-Duy Gebbers, Robin Tavakoli, Hamed Correa, Jose Tavares, Tiago R. Filippi, Patrick Jones, Edward J. Lukas, Vojtech Boenecke, Eric Ruehlmann, Joerg Schroeter, Ingmar Kramer, Eckart Paetzold, Stefan Kodaira, Masakazu Wadoux, Alexandre M.J.-C. Bragazza, Luca Metzger, Konrad Huang, Jingyi Valente, Domingos S.M. Safanelli, Jose L. Bottega, Eduardo L. Dalmolin, Ricardo S.D. Farkas, Csilla Steiger, Alexander Horst, Taciara Z. Ramirez-Lopez, Leonardo Scholten, Thomas Stumpf, Felix Rosso, Pablo Costa, Marcelo M. Zandonadi, Rodrigo S. Wetterlind, Johanna Atzmueller, Martin Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Piracicaba Brazil The University of Sydney Sydney Institute of Agriculture Sydney Australia Mendel University in Brno Department of Agrosystems and Bioclimatology Brno Czech Republic Leibniz Institute of Vegetable and Ornamental Crops Next Generation Horticultural Systems Grossbeeren Germany Eberswalde University for Sustainable Development Landscape Management and Nature Conservation Eberswalde Germany Soil Science and Soil Ecology Bonn Germany Tokyo University of Agriculture and Technology Institute of Agriculture Tokyo Japan LISAH Univ. Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Agroscope Field-Crop Systems and Plant Nutrition Nyon Switzerland University of Wisconsin-Madison Department of Soil Science Madison United States Federal University of Viçosa Department of Agricultural Engineering Viçosa Brazil Woodwell Climate Research Center Falmouth United States Academic Coordination Santa Maria Brazil Soil Department Santa Maria Brazil Division of Environment and Natural Resources Aas Norway University of Rostock Chair of Geodesy and Geoinformatics Rostock Germany Federal Technological University of Paraná Dois Vizinhos Brazil BÜCHI Labortechnik AG Data Science Department Flawil Switzerland Imperial College London Imperial College Business School London United Kingdom University of Tübingen Department of Geosciences Tübingen Germany University of Tübingen DFG Cluster of Excellence Machine Learning for Science’ Germany Bern University of Applied Sciences Competence Center for Soils Zollikofen Switzerland Simulation and Data Science Müncheberg Germany Federal University of Jataí Institute of Agricultural Sciences Jatai Brazil Federal University of Mato Grosso Instute of Agricultural and Environmental Scinces Sinop Brazil Department of Soil and Environment Skara

Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the optimal method for a given context remains challenging and contentious. Benchmarking studies on multiple datasets are needed to reveal strengths and limitations of commonly used methods. Existing DSM studies usually rely on a single dataset with restricted access, leading to incomplete and potentially misleading conclusions. To address these issues, we introduce an open-access dataset collection called Precision Liming Soil Datasets (LimeSoDa). LimeSoDa consists of 31 field- and farm-scale datasets from various countries. Each dataset has three target soil properties: (1) soil organic matter or soil organic carbon, (2) clay content and (3) pH, alongside a set of features. Features are dataset-specific and were obtained by optical spectroscopy, proximal- and remote soil sensing. All datasets were aligned to a tabular format and are ready-to-use for modeling. We demonstrated the use of LimeSoDa for benchmarking by comparing the predictive performance of four learning algorithms across all datasets. This comparison included multiple linear regression (MLR), support vector regression (SVR), categorical boosting (CatBoost) and random forest (RF). The results showed that although no single algorithm was universally superior, certain algorithms performed better in specific contexts. MLR and SVR performed better on high-dimensional spectral datasets, likely due to better compatibility with principal components. In contrast, CatBoost and RF exhibited considerably better performances when applied to datasets with a moderate number ( © 2025, CC BY-SA.

关键词： Adversarial machine learning

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Publisher Correction: Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

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Eye (London, England) 2024年第11期38卷 2229-2231页

作者： Konrad Pesudovs Hugh R. Taylor Tabassom Sedighi Rupert R. A. Bourne Shahina Pardhan Van Charles Lansingh John H. Kempen Ian Tapply Arthur G. Fernandes Maria Vittoria Cicinelli Alessandro Arrigo Nicolas Leveziel Serge Resnikoff Seth Flaxman Mukkharram M. Bikbov Tasanee Braithwaite Alain Bron Ching-Yu Cheng Monte A. Del Monte Joshua R. Ehrlich Leon B. Ellwein David Friedman João M. Furtado Gus Gazzard Ronnie George M. Elizabeth Hartnett Jost B. Jonas Rim Kahloun Moncef Khairallah Rohit C. Khanna Janet Leasher Julie-Anne Little Vinay Nangia Michal Nowak Tunde Peto Pradeep Ramulu Fotis Topouzis Mitiadis Tsilimbaris Ya Xing Wang Ningli Wang Paul Svitil Briant Theo Vos Katrin Burkart Kaleb Coberly Xiaochen Dai Stephen S. Lim Tomislav Mestrovic Ali H. Mokdad Christopher J. L. Murray Jaimie D. Steinmetz Awoke Misganaw Yohannes Habtegiorgis Abate Mohammad Abdollahi Mozhan Abdollahi Ayele Mamo Abebe Olumide Abiodun Richard Gyan Aboagye Woldu Aberhe Abrha Hasan Abualruz Hiwa Abubaker Ali Eman Abu-Gharbieh Salahdein Aburuz Tadele Girum Girum Adal Mesafint Molla Adane Isaac Yeboah Addo Qorinah Estiningtyas Sakilah Adnani Muhammad Sohail Afzal Muhammad Umair Shahin Aghamiri Bright Opoku Ahinkorah Aqeel Ahmad Sajjad Ahmad Ali Ahmadi Siamak Sabour Ayman Ahmed Haroon Ahmed Ahmad Samir Alfaar Abid Ali Syed Shujait Shujait Ali Awais Altaf Hubert Amu Emmanuel Manu Sofia Androudi Rodrigo Anguita Abhishek Anil Rimple Jeet Kaur Muhammad Aaqib Shamim Saeid Anvari Anayochukwu Edward Anyasodor Francis Appiah Jalal Arabloo Haleh Ayatollahi Mosab Arafat Damelash Areda Reza Arefnezhad Brhane Berhe Aregawi Akeza Awealom Asgedom Tahira Ashraf Seyyed Shamsadin Athari Bantalem Tilaye Tilaye Atinafu Birhan Tsegaw Taye Maha Moh’d Wahbi Atout Alok Atreya Ahmed Y. Azzam Hassan Babamohamadi Sara Bagherieh Yogesh Bahurupi Atif Amin Baig Shumaila Nargus Biswajit Banik Mainak Bardhan Saurav Basu Kavita Batra Nebiyou Simegnew Bayileyegn Fatemeh Bazvand Addisu Shunu Beyene Awoke Masrie Asrat Derese Devidas S. Bhagat Akshaya Srikanth Bhagavathula Pankaj Bh Medicine & Health University of New South Wales Sydney NSW Australia School of Optometry and Vision Science University of New South Wales Sydney NSW Australia School of Population and Global Health University of Melbourne Carlton VIC Australia Vision and Eye Research Institute Anglia Ruskin University Cambridge UK HelpMeSee Instituto Mexicano de Oftalmologia Santiago de Querétaro Mexico University of Miami Gables FL USA University of Utah Salt Lake City UT USA Chief Medical Office HelpMeSee New York NY USA Mexican Institute of Ophthalmology Queretaro Mexico Department of Ophthalmology Massachusetts Eye and Ear/Shepens Eye Research Institute/Harvard Medical School Boston MA USA Eye Unit MyungSung Christian Medical Center (MCM) Comprehensive Specialized Hospital and MyungSun Medical College Addis Ababa Ethiopia Department of Ophthalmology Addis Ababa University Addis Ababa Ethiopia Sight for Souls Bellevue WA USA Department of Ophthalmology Harvard University Boston MA USA Eye Unit MyungSung Medical College Addis Ababa Ethiopia Addenbrooke’s Hospital Cambridge UK Department of Ophthalmology Cambridge University Hospitals Cambridge UK Federal University of Sao Paolo Sao Paolo SP Brazil University of Calgary Calgary AB Canada Department of Ophthalmology and Visual Sciences Federal University of São Paulo Sao Paulo Brazil School of Medicine Vita-Salute San Raffaele University Milan Italy Department of Ophthalmology IRCCS San Raffaele Scientific Institute Milan Italy Department of Ophthalmology San Raffaele Scientific Institute Milano Italy IRCCS San Raffaele Scientific Institute Vita-Salute University Milan Italy Scientific Institute San Raffaele Hospital Vita-Salute University Milan Italy University of Poitiers Poitiers France CHU de Poitiers Poitiers France Ophthalmology Department CHU de Poitiers (Poitiers University Hospital) Poitiers France Unité 1084 National Institute of Health and Medical Research (INSERM) Poitiers France

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Correction to: "Joy of life" in nursing homes. Healthcare personnel experiences of the implementation of the national strategy. A qualitative study with content analysis of interviews

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BMC health services research 2021年第1期21卷 1028页

作者： Beate André Kjersti Grønning Frode F Jacobsen Gørill Haugan Department of Public Health and Nursing Norwegian University of Science and Technology (NTNU) 7491 Trondheim Norway. beate.andre@ntnu.no. NTNU Center for Health Promotion Research 7491 Trondheim Norway. beate.andre@ntnu.no. Department of Public Health and Nursing Norwegian University of Science and Technology (NTNU) 7491 Trondheim Norway. NTNU Center for Health Promotion Research 7491 Trondheim Norway. Centre for Care Research Western Norway University of Applied Sciences Bergen Norway. Institute for Health and Care Sciences Western Norway University of Applied Sciences Bergen Norway. VID Specialized University Bergen Norway.

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Real-time imaging of accelerated solid-liquid-gas reactions with nanobubbles

Research Square

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research Square 2020年

作者： Wang, Wen Xu, Tao Chen, Jige Shangguan, Junyi Dong, Hui Ma, Huishu Zhang, Qiubo Bai, Tingting Guo, Zhirui Fang, Haiping Zheng, Haimei Sun, Litao SEU-FEI Nano-Pico Center Key Laboratory of MEMS of Ministry of Education Collaborative Innovation Center for Micro/Nano Fabrication Device and System Southeast University Nanjing210096 China Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Shanghai Synchrotron Radiation Facility Zhangjiang Laboratory Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai201204 China Department of Physics East China University of Science and Technology Shanghai200237 China Department of Materials Science and Engineering University of California BerkeleyCA94720 United States Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai201800 China Key Laboratory of Welding Robot and Application Technology of Hunan Province Engineering Research Center of Complex Tracks Processing Technology Equipment of Ministry of Education Xiangtan University Xiangtan411105 China The Second Affiliated Hospital Key Laboratory for Aging & Disease Nanjing Medical University Nanjing210011 China

Solid-liquid-gas reactions are ubiquitous. An understanding of how gases influence the reactions at the nanoscale is significant for achieving the enhanced triple-phase reactions. Here, we report a real-time observation of the accelerated etching of gold nanorods with oxygen nanobubbles in aqueous hydrobromic acid using liquid cell transmission electron microscopy (TEM). Our observation reveals that when an oxygen nanobubble is close to a nanorod below the critical distance (~1nm), the local etching rate is significantly enhanced with over an order of magnitude faster. Molecular dynamics simulations results show that the strong attractive van der Waals interaction between the gold nanorod and oxygen molecules facilitates the transport of oxygen through the thin liquid layer to the gold surface and thus plays a crucial role in increasing the etching rate. This result sheds light on the rational design of solid-liquid-gas reactions for enhanced activities. © 2020, CC BY.

关键词： Molecular dynamics

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Corrigendum to "Synergetic effect of bismuth vanadate over copolymerized carbon nitride composites for highly efficient photocatalytic H2 and O2 generation" [J. Colloid Interface Sci. 627 (2022) 621-629]

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Journal of colloid and interface science 2022年第PT A期628卷 366-367页

作者： Asif Hayat Muhammad Sohail T A Taha Sunil Kumar Baburao Mane Abdullah G Al-Sehemi Ahmed A Al-Ghamdi W I Nawawi Arkom Palamanit Mohammed A Amin Ahmed M Fallatah Zeeshan Ajmal Hamid Ali Wasim Ullah Khan Muhammad Wajid Shah Javid Khan S Wageh State Key Laboratory of Photocatalysis on Energy and Environment College of Chemistry Fuzhou University Fuzhou 350116 China. Yangtze Delta Region Institute (Huzhou) University of Electronic Science and Technology of China Huzhou 313001 China. Physics Department College of Science Jouf University P.O. Box: 2014 Sakaka Saudi Arabia Physics and Engineering Mathematics Department Faculty of Electronic Engineering Menoufia University Menouf 32952 Egypt. Department of Chemistry Khaja Bandanawaz University Kalaburagi Karnataka 585104 India. Research Center for Advanced Materials Science (RCAMS) King Khalid University P.O. Box 9004 Abha 61413 Saudi Arabia Department of Chemistry College of Science King Khalid University P.O. Box 9004 Abha 61413 Saudi Arabia. Department of Physics Faculty of Science King Abdulaziz University Jeddah 21589 Saudi Arabia. Faculty of Applied Sciences Universiti Teknologi MARA Cawangan Perlis Arau Perlis 02600 Malaysia. Energy Technology Program Department of Specialized Engineering Faculty of Engineering Prince of Songkla University 15 Karnjanavanich Rd. Hat Yai Songkhla 90110 Thailand. Department of Chemistry College of Science Taif University P.O. Box 11099 Taif 21944 Saudi Arabia. School of Chemistry and Chemical Engineering Northwestern Polytechnical University Xian 710072 China. Multiscale Computational Materials Facility Key Laboratory of Eco-Materials Advanced Technology College of Materials Science and Engineering Fuzhou University Fuzhou 350100 China. State Key Laboratory of Optoelectronic Materials and Technologies School of Materials Science and Engineering Sun Yat-sen University Guangzhou 510275 China. Electronic address: wasimullah89@***. School Of Chemistry Sun Yat-sen University Guangzhou 510275 China. Electronic address: m.wajidshah@***. College of Materials Science and Engineering Hunan University Changsha Hunan 410082 China. Electronic address: javidchemist@yahoo.com.

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Technical comment the impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia

arXiv

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arXiv 2021年

作者： Medo, Matúš Šuster, Martin Boďová, Katarína Bražinová, Alexandra Brejová, Broňa Kollár, Richard Leksa, Vladimír Lindbloom, Jana Nosek, Jozef Vinař, Tomáš Baumohl, Eduard Blaščák, Fedor Bleha, Branislav Boža, Vladimír Celec, Peter Frinda, Jaroslav Gruska, Damas Hodosy, Július Jacko, Peter Kerekes, Daniel Klempa, Boris Kopáček, Juraj Masaryk, Radomír Pastoreková, Silvia Pekarčíková, Jarmila Sabaka, Peter Segečová, Stanislava Smatana, Martin Szolcsányi, Peter Tomáška, Ľubomír Vašečka, Michal Visolajský, Peter Visolajská, Kristína Zmeko, Peter Department of Radiation Oncology Inselspital University Hospital of Bern University of Bern Bern3010 Switzerland National Bank of Slovakia Imricha Karvaša 1 Bratislava Slovakia Faculty of Mathematics Physics and Informatics Comenius University in Bratislava Mlynská dolina Bratislava842 48 Slovakia Institute of Epidemiology Faculty of Medicine Comenius University in Bratislava Špitálska 24 Bratislava813 72 Slovakia Institute for Hygiene and Applied Immunology Center for Pathophysiology Infectiology and Immunology Medical University of Vienna Lazarettgasse 19 ViennaA-1090 Austria Institute for Sociology Slovak Academy of Sciences Klemensova 19 Bratislava813 64 Slovakia Faculty of Natural Sciences Comenius University in Bratislava Ilkovičova 6 Bratislava842 15 Slovakia Laboratory of Molecular Immunology Institute of Molecular Biology Slovak Academy of Sciences Dúbravská cesta 21 Bratislava845 51 Slovakia Faculty of Commerce University of Economics in Bratislava Bratislava Slovakia Faculty of Natural Sciences Comenius University in Bratislava Bratislava Slovakia Faculty of Mathematics Physics and Informatics Comenius University in Bratislava Bratislava Slovakia Institute of Molecular Biomedicine Faculty of Medicine Comenius University in Bratislava Bratislava Slovakia Faculty of Operation and Economics of Transport University of Zilina Žilina Slovakia Management School Lancaster University United Kingdom Faculty of International Relations University of Economics in Bratislava Bratislava Slovakia Institute of Virology Biomedical Research Center The Slovak Academy of Sciences Bratislava Slovakia Faculty of Social and Economic Sciences Comenius University in Bratislava Bratislava Slovakia Faculty of Health Care and Social Work Trnava University Trnava Slovakia Faculty of Medicine Comenius University Bratislava Slovakia Specialized Hospital of Saint Svorad Zobor Nitra Slovakia Department of Organic Chemistry Slovak University of Technology

Pavelka et al. (Science, Reports, 7 May 2021) claim that a single round of population-wide antigen testing in Slovakia reduced the observed COVID-19 prevalence by 58%, and that it played a substantial role in curbing the pandemic. We argue that this estimate, which is based on incorrect assumptions, is exaggerated, and that the relief was short-lived with little effect on mitigating the pandemic. Pavelka et al.1 analyze the effects of non-pharmaceutical interventions (NPIs) implemented in Slovakia in the fall of 2020 (see Fig.1 for the timeline) as a response to a worsening COVID-19 epidemiological situation2. They estimate that one round of population-wide antigen testing coupled with standard NPIs lowered the (observed) prevalence by 58%, and they extrapolate that repeated mass testing decreases the prevalence by the same factor in each round. We propose that: (i) effects of the mass testing were much lower and temporary;(ii) their repeatability is questionable;and (iii) other externalities should be considered to evaluate long-term effects. © 2021, CC BY.

关键词： Antigens

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LimeSoDa: A dataset collection for benchmarking of machine learning regressors in digital soil mapping

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Geoderma 2025年 459卷

作者： Schmidinger, Jonas Vogel, Sebastian Barkov, Viacheslav Pham, Anh-Duy Gebbers, Robin Tavakoli, Hamed Correa, Jose Tavares, Tiago R. Filippi, Patrick Jones, Edward J. Lukas, Vojtech Boenecke, Eric Ruehlmann, Joerg Schroeter, Ingmar Kramer, Eckart Paetzold, Stefan Kodaira, Masakazu Wadoux, Alexandre M.J.-C. Bragazza, Luca Metzger, Konrad Huang, Jingyi Valente, Domingos S.M. Safanelli, Jose L. Bottega, Eduardo L. Dalmolin, Ricardo S.D. Farkas, Csilla Steiger, Alexander Horst, Taciara Z. Ramirez-Lopez, Leonardo Scholten, Thomas Stumpf, Felix Rosso, Pablo Costa, Marcelo M. Zandonadi, Rodrigo S. Wetterlind, Johanna Atzmueller, Martin Osnabrück University Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Department of Agromechatronics Potsdam Germany Piracicaba Brazil The University of Sydney Sydney Institute of Agriculture Sydney Australia Mendel University in Brno Department of Agrosystems and Bioclimatology Brno Czech Republic Leibniz Institute of Vegetable and Ornamental Crops Next Generation Horticultural Systems Grossbeeren Germany Eberswalde University for Sustainable Development Landscape Management and Nature Conservation Eberswalde Germany —Soil Science and Soil Ecology Bonn Germany Tokyo University of Agriculture and Technology Institute of Agriculture Tokyo Japan LISAH Univ. Montpellier AgroParisTech INRAE IRD L'Institut Agro Montpellier France Agroscope Field-Crop Systems and Plant Nutrition Nyon Switzerland University of Wisconsin-Madison Department of Soil Science Madison United States Federal University of Viçosa Department of Agricultural Engineering Viçosa Brazil Woodwell Climate Research Center Falmouth United States Academic Coordination Santa Maria Brazil Soil Department Santa Maria Brazil Division of Environment and Natural Resources Aas Norway University of Rostock Chair of Geodesy and Geoinformatics Rostock Germany Federal Technological University of Paraná Dois Vizinhos Brazil BÜCHI Labortechnik AG Data Science Department Flawil Switzerland Imperial College London Imperial College Business School London United Kingdom University of Tübingen Department of Geosciences Tübingen Germany University of Tübingen DFG Cluster of Excellence ‘Machine Learning for Science’ Germany Bern University of Applied Sciences Competence Center for Soils Zollikofen Switzerland Simulation and Data Science Müncheberg Germany Federal University of Jataí Institute of Agricultural Sciences Jatai Brazil Federal University of Mato Grosso Instute of Agricultural and Environmental Scinces Sinop Brazil Department of Soil and Environment Skara S

关键词： Random forests

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