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Harnessing microalgae to mitigate the environmental impact of the cement industry: Emission reduction and bio-cement production

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Carbon Capture science and technology 2025年 16卷

作者： Le, Ve Van Esterhuizen, Maranda Tran, Quynh-Giao Yun, Jin-Ho Jung, Man-Young Lee, Sang-Ah Faculty of Biotechnology College of Applied Life Sciences Jeju National University 102 Jejudaehak-Ro Jeju 63243 South Korea University of Helsinki Ecosystems and Environment Research Programme Faculty of Biological and Environmental Sciences Niemenkatu 73 Lahti 15140 Finland Cell factory Research Centre Korea Research Institute of Bioscience & Biotechnology 125 Gwahak-ro Yuseong-gu Daejeon 34141 South Korea Department of Environmental Biotechnology KRIBB School of Biotechnology University of Science & Technology Daejeon 34113 South Korea Department of Integrative Biotechnology Sungkyunkwan University Suwon 16419 South Korea Interdisciplinary Graduate Program in Advance Convergence Technology and Science Jeju National University 102 Jejudaehak-ro Jeju 63243 South Korea Bio-Health Materials Core-Facility Center Jeju National University 102 Jejudaehak-ro Jeju 63243 South Korea Department of Biology Education Jeju National University Jeju 63243 South Korea

The cement industry has been the cornerstone of economic development since the Industrial Revolution. However, the calcination process used to produce cement raw materials releases various pollutants, such as carbon dioxide, nitrogen oxides, and sulfur oxides, which are key contributors to global warming. Therefore, innovative technologies are urgently needed to minimize the environmental impact of the cement industry. In recent years, microalgae have gained attention because of their advantages in recovering resources and reducing the impacts of industrial pollutants. The use of microalgae to address the environmental challenges associated with cement production remains largely overlooked in current reviews. This review summarizes the recent advances in the utilization of microalgae to address the environmental challenges posed by the cement industry. Microalgae offer two main pathways for environmental mitigation: the (i) production of bio-cement as an eco-friendly alternative for construction and (ii) conversion of cement flue gases into biomass feedstock with high-value downstream applications. We also identify existing challenges and propose an integrative “Microalgae–Bacteria Consortium” system as a sustainable strategy for the significant reduction of the environmental footprint of cement production. This approach has the potential to transform the cement industry into a more sustainable and eco-friendlier sector. Overall, microalgae provide an innovative and sustainable platform to revolutionize the cement industry into a greener sector, supporting the global shift toward a low-carbon, circular economy. © 2025 The Author(s)

关键词： Bio-cement Cement calcination Flue gas Greenhouse gas Microalgae Microalgae–bacteria consortium Sustainable construction

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Carbonation and deformation of oceanic serpentinites in the Elba subduction channel: Evidence for fluid–rock interaction at seismogenic depth

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Earth and Planetary science Letters 2025年 666卷

作者： Samuele Papeschi Roberto Emanuele Rizzo Andrea Rielli Matthew Tarling Vanni Moggi Cecchi Elena Pecchioni Chiara Boschi Keishi Okazaki Takehiro Hirose Paola Vannucchi Institute of Geosciences and Earth Resources National Research Council of Italy (CNR) via la Pira 4 50121 Florence Italy Kochi Institute for Core Sample Research (X-Star) Japan Agency for Marine–Earth Science and Technology (JAMSTEC) 200 Monobe-otsu Nankoku Kochi 783-8502 Japan Department of Earth Sciences Utrecht University Princetonlaan 4 3584 CB Utrecht the Netherlands Department of Earth Sciences University of Firenze via La Pira 4 50121 Florence Italy Department of Earth Ocean and Atmospheric Sciences University of British Columbia Vancouver Canada Museo “La Specola” University of Firenze Via Romana 17 50121 Florence Italy Earth and Planetary Systems Science Program Graduate School of Advanced Science and Engineering Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima Hiroshima 739-8526 Japan

We present a multi-disciplinary investigation of the deformation and carbonation history of oceanic serpentinites involved in the plate interface of the Cretaceous-Eocene subduction complex exposed in the Elba Island —an exceptionally well-preserved example of oceanic subduction system. Using an integrated set of structural, petrographic, and geochemical analyses, we document antigorite growth and carbonation of oceanic serpentinites in the Elba subduction channel at shallow-intermediate depths (<22-26 km; P <0.6-0.7 GPa). Carbonation was associated with brecciation and shearing that produced a complex of tectonic slices (Norsi area) and a tectonic mélange (Cavo area). The carbonation process was likely triggered by the release of CO 2 -rich fluids from subducting oceanic serpentinites and ophicarbonate rocks, as indicated by C and O isotopes. The ingress of external CO 2 in shear zones likely ignited a positive feedback between deformation, carbonation, and fluid flow, promoting talc formation and leading to strain localization at the plate interface. The Elba subduction channel offers a unique window on the evolution of subduction systems at low pressure, highlighting the importance of fluid-induced reactions in controlling deformation style.

关键词： Serpentinite carbonation Subduction channel Subduction zone Fluid/rock interaction Seismogenic zone Carbon cycle

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EMPRESS. X. Spatially resolved mass-metallicity relation in extremely metal-poor galaxies: Evidence of episodic star-formation fueled by a metal-poor gas infall

arXiv

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arXiv 2024年

作者： Nakajima, Kimihiko Ouchi, Masami Isobe, Yuki Xu, Yi Ozaki, Shinobu Nagao, Tohru Inoue, Akio K. Rauch, Michael Kusakabe, Haruka Onodera, Masato Nishigaki, Moka Ono, Yoshiaki Sugahara, Yuma Hattori, Takashi Hirai, Yutaka Hashimoto, Takuya Kim, Ji Hoon Moriya, Takashi J. Yanagisawa, Hiroto Aoyama, Shohei Fujimoto, Seiji Fukushima, Hajime Fukushima, Keita Harikane, Yuichi Hatano, Shun Hayashi, Kohei Ishigaki, Tsuyoshi Kawasaki, Masahiro Kojima, Takashi Komiyama, Yutaka Koyama, Shuhei Koyama, Yusei Lee, Chien-Hsiu Matsumoto, Akinori Mawatari, Ken Motohara, Kentaro Murai, Kai Nagamine, Kentaro Nakane, Minami Saito, Tomoki Sasaki, Rin Shibuya, Takatoshi Suzuki, Akihiro Takeuchi, Tsutomu T. Umeda, Hiroya Umemura, Masayuki Watanabe, Kuria Yabe, Kiyoto Yajima, Hidenobu Zhang, Yechi National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Osawa 2-21-1 Mitaka Tokyo181-8588 Japan University of Tokyo Chiba Kashiwa277-8583 Japan Kavli Institute for Cosmology University of Cambridge Madingley Road CambridgeCB3 0HA United Kingdom Cavendish Laboratory University of Cambridge 19 JJ Thomson Avenue CambridgeCB3 0HE United Kingdom Waseda Research Institute for Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan Research Center for Space and Cosmic Evolution Ehime University Bunkyo-cho 2-5 Ehime Matsuyama790-8577 Japan Department of Physics School of Advanced Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Observatories of the Carnegie Institution for Science 813 Santa Barbara St. PasadenaCA91101 United States Observatoire de Genève Université de Genève 51 Chemin de Pégase Versoix1290 Switzerland 650 North Aohoku Place HiloHI96720 United States Department of Physics and Astronomy University of Notre Dame 225 Nieuwland Science Hall Notre DameIN46556 United States Astronomical Institute Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan Division of Physics Faculty of Pure and Applied Sciences University of Tsukuba Ibaraki Tsukuba305-8571 Japan Faculty of Pure and Applied Sciences University of Tsukuba Ibaraki Tsukuba305-8571 Japan Astronomy Program Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of SNU Astronomy Research Cent

Using the Subaru/FOCAS IFU capability, we examine the spatially resolved relationships between gas-phase metallicity, stellar mass, and star-formation rate surface densities (Σ★ and ΣSFR, respectively) in extremely metal-poor galaxies (EMPGs) in the local universe. Our analysis includes 24 EMPGs, comprising 9,177 spaxels, which span a unique parameter space of local metallicity (12 + log(O/H) 6.9 to 7.9) and stellar mass surface density (Σ★ ∼ 105 to 107 Mo kpc−2), extending beyond the range of existing large integral-field spectroscopic surveys. Through spatially resolved emission line diagnostics based on the [N ii] BPT-diagram, we verify the absence of evolved active galactic nuclei in these EMPGs. Our findings reveal that, while the resolved mass-metallicity relation exhibits significant scatter in the low-mass regime, this scatter is closely correlated with local star-formation surface density. Specifically, metallicity decreases as ΣSFR increases for a given Σ★. Notably, half of the EMPGs show a distinct metal-poor horizontal branch on the resolved mass-metallicity relation. This feature typically appears at the peak clump with the highest Σ★ and ΣSFR and is surrounded by a relatively metal-enriched ambient region. These findings support a scenario in which metal-poor gas infall fuels episodic star formation in EMPGs, consistent with the kinematic properties observed in these systems. In addition, we identify four EMPGs with exceptionally low central metallicities (12 + log(O/H) 7.2), which display only a metal-poor clump without a surrounding metal-rich region. This suggests that such ultra-low metallicity EMPGs, at less than a few percent of the solar metallicity, may serve as valuable analogs for galaxies in the early stages of galaxy evolution. Copyright © 2024, The Authors. All rights reserved.

关键词： Spectroscopic analysis

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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Large nonvolatile control of interfacial magnetic anisotropy in CoPt by a ferroelectric ZnO-based tunneling barrier

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Physical Review B 2019年第5期100卷 054423-054423页

作者： Muftah Al-Mahdawi Mohamed Belmoubarik Masao Obata Daiki Yoshikawa Hideyuki Sato Tomohiro Nozaki Tatsuki Oda Masashi Sahashi Center for Science and Innovation in Spintronics (Core Research Cluster) Tohoku University Sendai 980-8577 Japan Center for Spintronics Research Network Tohoku University Sendai 980-8577 Japan Department of Electronic Engineering Tohoku University Sendai 980-8579 Japan Graduate School of Natural Science and Technology Kanazawa University Kanazawa 920-1192 Japan Institute of Science and Engineering Kanazawa University Kanazawa 920-1192 Japan ImPACT Program Japan Science and Technology Agency Chiyoda Tokyo 102-0076 Japan

The electric control of magnetic anisotropy has important applications for nonvolatile memory and information processing. By first-principles calculations, we show a large nonvolatile control of magnetic anisotropy in the ferromagnetic/ferroelectric CoPt/ZnO interface. Using the switched electric polarization of ZnO, the density-of-states and magnetic anisotropy at the CoPt surface show a large change. Due to a strong Co/Pt orbitals hybridization and a large spin-orbit coupling, a large control of magnetic anisotropy was found. We experimentally measured the change of effective anisotropy by tunneling resistance measurements in CoPt/Mg-doped ZnO/Co junctions. Additionally, we corroborate the origin of the control of magnetic anisotropy by observations on tunneling anisotropic magnetoresistance.

关键词： Magnetic anisotropy Spintronics Tunneling anisotropic magnetoresistance Ferroelectrics Ferromagnets Magnetic tunnel junctions Wurtzite Density functional calculations Magnetization measurements Resistivity measurements

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EMPRESS. XII. Statistics on the Dynamics and Gas Mass Fraction of Extremely-Metal Poor Galaxies

arXiv

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arXiv 2023年

作者： Xu, Yi Ouchi, Masami Isobe, Yuki Nakajima, Kimihiko Ozaki, Shinobu Bouché, Nicolas F. Wise, John H. Emsellem, Eric Kusakabe, Haruka Hattori, Takashi Nagao, Tohru Chiaki, Gen Fukushima, Hajime Harikane, Yuichi Hayashi, Kohei Hirai, Yutaka Kim, Ji Hoon Maseda, Michael V. Nagamine, Kentaro Shibuya, Takatoshi Sugahara, Yuma Yajima, Hidenobu Aoyama, Shohei Fujimoto, Seiji Fukushima, Keita Hatano, Shun Inoue, Akio K. Ishigaki, Tsuyoshi Kawasaki, Masahiro Kojima, Takashi Komiyama, Yutaka Koyama, Shuhei Koyama, Yusei Lee, Chien-Hsiu Matsumoto, Akinori Mawatari, Ken Moriya, Takashi J. Motohara, Kentaro Murai, Kai Nishigaki, Moka Onodera, Masato Ono, Yoshiaki Rauch, Michael Saito, Tomoki Sasaki, Rin Suzuki, Akihiro Takeuchi, Tsutomu T. Umeda, Hiroya Umemura, Masayuki Watanabe, Kuria Yabe, Kiyoto Zhang, Yechi Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan Department of Astronomy Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan University of Tokyo Chiba Kashiwa277-8583 Japan Department of Physics Graduate School of Science The University of Tokyo 7-3-1 Hongo Bunkyo Tokyo113-0033 Japan Univ Lyon Univ Lyon1 ENS de Lyon CNRS Centre de Recherche Astrophysique de Lyon UMR5574 Saint-Genis-LavalF-69230 France Center for Relativistic Astrophysics School of Physics Georgia Institute of Technology AtlantaGA30332 United States European Southern Observatory Karl-Schwarzschild-Straße 2 Garching85748 Germany Observatoire de Genéve Université de Genéve 51 Ch. des Maillettes Versoix1290 Switzerland 650 North A’ohoku Place HiloHI96720 United States Research Center for Space and Cosmic Evolution Ehime University Bunkyo-cho 2-5 Ehime Matsuyama790-8577 Japan Center for Computational Sciences University of Tsukuba Ten-nodai 1-1-1 Tsukuba Ibaraki305-8577 Japan Department of Physics and Astronomy University College London Gower Street LondonWC1E 6BT United Kingdom National Institute of Technology Ichinoseki College Hagisho Ichinoseki021-8511 Japan Astronomical Institute Tohoku University 6-3 Aoba Aramaki Aoba-ku Miyagi Sendai980-8578 Japan Department of Physics and Astronomy University of Notre Dame 225 Nieuwland Science Hall Notre DameIN46556 United States Astronomy Program Department of Physics and Astronomy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of SNU Astronomy Research Center Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Astronomy University of Wisconsin-Madison 475 N. Charter Street MadisonWI53706 United States Theoretical Astrophysics Department of Earth & Space S

We present demography of the dynamics and gas-mass fraction of 33 extremely metal-poor galaxies (EMPGs) with metallicities of 0.015 − 0.195 Zo and low stellar masses of 104 − 108 Mo in the local universe. We conduct deep optical integral-field spectroscopy (IFS) for the low-mass EMPGs with the medium high resolution (R = 7500) grism of the 8m-Subaru FOCAS IFU instrument by the EMPRESS 3D survey, and investigate Hα emission of the EMPGs. Exploiting the resolution high enough for the low-mass galaxies, we derive gas dynamics with the Hα lines by the fitting of 3-dimensional disk models. We obtain an average maximum rotation velocity (vrot) of 15 ± 3 km s−1 and an average intrinsic velocity dispersion (σ0) of 27 ± 10 km s−1 for 15 spatially resolved EMPGs out of the 33 EMPGs, and find that all of the 15 EMPGs have vrot/σ0 rot/σ0 with the decreasing stellar mass and metallicity. We derive the gas mass fraction (fgas) for all of the 33 EMPGs, and find no clear dependence on stellar mass and metallicity. These vrot/σ0 and fgas trends should be compared with young high-z galaxies observed by the forthcoming JWST IFS programs to understand the physical origins of the EMPGs in the local universe. © 2023, CC BY.

关键词： Galaxies

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Author Correction: Architectural basis for cylindrical self-assembly governing Plk4-mediated centriole duplication in human cells

Communications biology

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Communications biology 2023年第1期6卷 784页

作者： Jong Il Ahn Liang Zhang Harsha Ravishankar Lixin Fan Klara Kirsch Yan Zeng Lingjun Meng Jung-Eun Park Hye-Yeoung Yun Rodolfo Ghirlando Buyong Ma David Ball Bonsu Ku Ruth Nussinov Jeremy D Schmit William F Heinz Seung Jun Kim Tatiana Karpova Yun-Xing Wang Kyung S Lee Cancer Innovation Laboratory Center for Cancer Research National Cancer Institute National Institutes of Health Bethesda MD 20892 USA. Basic Science Program Frederick National Laboratory for Cancer Research Small-Angle X-ray Scattering Core Facility National Cancer Institute National Institutes of Health Frederick MD 21702 USA. Disease Target Structure Research Center Korea Research Institute of Bioscience and Biotechnology Daejeon Republic of Korea. Laboratory of Molecular Biology National Institute of Diabetes and Digestive and Kidney Diseases National Institutes of Health Bethesda MD 20892 USA. Basic Science Program Leidos Biomedical Research Inc. Cancer and Inflammation Program National Cancer Institute Frederick MD 21702 USA. School of Pharmacy Shanghai Jiao Tong University 200240 Shanghai China. Laboratory of Receptor Biology and Gene Expression Optical Microscopy Core National Cancer Institute National Institutes of Health Bethesda MD 20892 USA. Department of Human Molecular Genetics and Biochemistry Sackler School of Medicine Tel Aviv University Tel Aviv 69978 Israel. Department of Physics Kansas State University Manhattan KS 66506 USA. Optical Microscopy and Analysis Laboratory Cancer Research Technology Program Frederick National Laboratory for Cancer Research Frederick MD 21702 USA. Protein-Nucleic Acid Interaction Section Center for Structural Biology National Cancer Institute National Institutes of Health Frederick MD 21702 USA. Cancer Innovation Laboratory Center for Cancer Research National Cancer Institute National Institutes of Health Bethesda MD 20892 USA. kyunglee@mail.nih.gov.

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Expanding National-Scale Wildlife Disease Surveillance Systems With research Networks

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Ecology and evolution 2025年第6期15卷 e71492页

作者： Kim M Pepin Matthew A Combs Guillaume Bastille-Rousseau Meggan E Craft Paul Cross Maria A Diuk-Wasser Roderick B Gagne Travis Gallo Tyler Garwood Jonathon D Heale Joshua Hewitt Jennifer Høy-Petersen Jennifer Malmberg Jennifer Mullinax Laura Plimpton Lauren Smith Meredith C VanAcker Jeffrey C Chandler W David Walter Grete Wilson-Henjum George Wittemyer Kezia Manlove National Wildlife Research Center Wildlife Services Animal and Plant Health Inspection Service United States Department of Agriculture Fort Collins Colorado USA. Cooperative Wildlife Research Laboratory Southern Illinois University Carbondale Illinois USA. Department of Ecology Evolution and Behavior University of Minnesota St. Paul Minnesota USA. U.S. Geological Survey Northern Rocky Mountain Science Center Bozeman Montana USA. Department of Ecology Evolution and Environmental Biology Columbia University New York City New York USA. Department of Pathobiology Wildlife Futures Program University of Pennsylvania School of Veterinary Medicine Kennett Pennsylvania USA. Department of Environmental Science and Technology University of Maryland College Park Maryland USA. Wildlife Services Animal and Plant Health Inspection Services United States Department of Agriculture Fort Collins Colorado USA. Department of Wildland Resources and Ecology Center Utah State University Logan Utah USA. Global Health Program Smithsonian National Zoo and Conservation Biology Institute Washington DC USA. U.S. Geological Survey Pennsylvania Cooperative Fish and Wildlife Research Unit The Pennsylvania State University University Park Pennsylvania USA. Department of Fish Wildlife and Conservation Biology Colorado State University Fort Collins Colorado USA.

Efficient learning about disease dynamics in free-ranging wildlife systems can benefit from active surveillance that is standardized across different ecological contexts. For example, active surveillance that targets specific individuals and populations with standardized sampling across ecological contexts (landscape-scale targeted surveillance) is important for developing a mechanistic understanding of disease emergence, which is the foundation for improving risk assessment of zoonotic or wildlife-livestock disease outbreaks and predicting hotspots of disease emergence. However, landscape-scale targeted surveillance systems are rare and challenging to implement. Increasing experience and infrastructure for landscape-scale targeted surveillance will improve readiness for rapid deployment of this type of surveillance in response to new disease emergence events. Here, we describe our experience developing and rapidly deploying a landscape-scale targeted surveillance system for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in two free-ranging deer species across their ranges in the United States. Our surveillance system was designed to collect data across individual, population, and landscape scales for future analyses aimed at understanding mechanisms and risk factors of SARS-CoV-2 transmission, evolution, and persistence. Our approach leveraged partnerships between state and federal public service sectors and academic researchers in a landscape-scale targeted surveillance research network. Methods describe our approach to developing the surveillance network and sampling design. Results report challenges with implementing our intended sampling design, specifically how the design was adapted as different challenges arose and summarize the sampling design that has been implemented thus far. In the discussion, we describe strategies that were important for the successful deployment of landscape-scale targeted surveillance, development and operation of the

关键词： SARS‐CoV‐2 chronic wasting disease disease emergence mule deer opportunistic surveillance severe acute respiratory syndrome coronavirus 2 surveillance targeted surveillance white‐tailed deer wildlife disease

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Reporting quality of systematic review protocols in environmental and occupational toxicology: a meta-epidemiology study protocol

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Evidence-Based Toxicology 2025年第1期3卷

作者： Milica D. Pavlovic Malgorzata Lagisz Natália B. Videira Julia M. L. Menon Gunn E. Vist Elma Omeragic Rebecca L. Morgan Sebastian Hoffmann Evidence-Based Toxicology Collaboration Human Toxicology Program Graduate College University of Iowa Iowa City IA USA Evolution and Ecology Research Centre and School of Biological Earth and Environmental Sciences University of New South Wales Sydney NSW AustraliaTheoretical Sciences Visiting Program Okinawa Institute of Science and Technology Graduate University Onna Japan Affygility Solutions Broomfield CO USA Preclinicaltrials.eu Netherlands Heart Institute Utrecht the Netherlands Division of Health Services Norwegian Institute of Public Health Oslo Norway University of Sarajevo Faculty of Pharmacy University of Sarajevo Sarajevo Bosnia and Herzegovina School of Medicine Case Western Reserve University Cleveland OH USADepartment of Health Research Evidence and Impact McMaster University Hamilton ON Canada Evidence-Based Toxicology Collaboration (EBTC) Johns Hopkins University Bloomberg School of Public Health Baltimore MD USA John Hopkins Bloomberg School of Public Health John Hopkins University Baltimore MD USA

BackgroundSystematic reviews (SR), an evidence-synthesis tool, have been increasingly used in toxicology, for regulatory decision-making and allocation of research funding resources. A critical domain of methodological quality is publicly available in the SR protocol that describes the review methods prior to the review. Earlier work showed that only a small number of published SRs in environmental health had identifiable protocols, but did not evaluate their completeness of reporting. Thus, there is a critical need to assess the number of protocols published in peer-reviewed literature related to environmental/occupational toxicology and how much those SR protocols adhere to current reporting standards such as *** overarching objective of this review is to assess the reporting quality of SR protocols in environmental and occupational toxicology, published in peer-reviewed *** and analysisThis protocol has been reported following PRISMA-P and PRISMA-S checklist and study selection, data extraction, and reporting quality assessment were piloted by independent reviewers. Four electronic databases (PubMed, Scopus, Web of science, EMBASE) were selected and will be searched for SR protocols using pre-defined strings. Both title/abstract and full-text screening will follow detailed eligibility criteria based on the population concept context (PCC) framework. We will include peer-reviewed, self-identified SR protocols that aim to assess the adverse effects of environmental and occupational exposures. We will perform data extraction using the form that includes general bibliographic information, exposure, adverse effect information, evidence streams, and guidelines/checklists used in protocol reporting or development. A reporting assessment form consisting of 15 PRISMA-P-based items, of which eleven with identical binary responses (reported vs not reported) address critical elements of SR protocol. Assessments of the eleven quality items will

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Correction to: The role of environmental filtering, geographic distance and dispersal barriers in shaping the turnover of plant and animal species in Amazonia

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Biodiversity and Conservation 2021年第11期30卷 3311-3312页

作者： Dambros, Cristian Zuquim, Gabriela Moulatlet, Gabriel M. Costa, Flávia R. C. Tuomisto, Hanna Ribas, Camila C. Azevedo, Renato Baccaro, Fabricio Bobrowiec, Paulo E. D. Dias, Murilo S. Emilio, Thaise Espirito-Santo, Helder M. V. Figueiredo, Fernando O. G. Franklin, Elizabeth Freitas, Cintia Graça, Márlon B. d’Horta, Fernando Leitão, Rafael P. Maximiano, Marina Mendonça, Fernando P. Menger, Juliana Morais, José W. de Souza, Affonso H. N. Souza, Jorge L. P. da C. Tavares, Valéria do Vale, Júlio D. Venticinque, Eduardo M. Zuanon, Jansen Magnusson, William E. de Abreu, Fernando H. T. Anciães, Marina Department of Ecology and Evolution Federal University of Santa Maria Santa Maria Brazil Department of Biology Aarhus University Aarhus Denmark Department of Biology University of Turku Turku Finland Facultad de Ciencias de la Tierra y Agua Universidad Regional Amazónica Ikiam Tena Ecuador Biodiversity Coordination National Institute for Amazonian Research Manaus Brazil Department of Biology Federal University of Amazonas Manaus Brazil Biological Dynamics of Forest Fragments Project National Institute for Amazonian Research Manaus Brazil Department of Ecology University of Brasília Brasília Brazil Programa Nacional de Pós-Doutorado Programa de Pós-Graduação em Ecologia Institute of Biology University of Campinas Campinas Brazil Nucleus of Research in Aquatic Science and Fisheries Federal University of Pará Belém Brazil Graduate Program in Ecology Federal University of Rio Grande do Norte Natal Brazil Graduate Program in Ecology Biological Sciences Sector Federal University of Paraná Curitiba Brazil Federal Institute of Education Science and Technology of Amazonas Campus Coari Brazil Department of Genetics Ecology and Evolution Federal University of Minas Gerais Belo Horizonte Brazil Federal Institute of Education Science and Technology of Amazonas Campus Presidente Figueiredo Brazil National Institute of Atlantic Forest Santa Teresa Brazil Department of Systematics and Ecology Federal University of Paraíba João Pessoa Brazil Department of Zoology Federal University of Minas Gerais Belo Horizonte Brazil Pontifical Catholic University of Paraná Campus Toledo Brazil Department of Ecology Federal University of Rio Grande Do Norte Natal Brazil Programa de Pós-graduação em Ecologia Instituto Nacional de Pesquisas da Amazônia (INPA) Manaus Brazil Coordenacao de Biodiversidade (COBIO) Instituto Nacional de Pesquisas da Amazônia (INPA) Manaus Brazil

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