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Relationship Between Institutional Sustainability and SMEs Production Sustainability(Case Study: SMEs of Fish Processing Unit, in Pinrang Regency, Indonesia)

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IOP Conference Series: Earth and Environmental science 2020年第1期473卷

作者： D Salman M Karim J Genisa Rahmadanih Department of Agribusiness Faculty of Agriculture Hasanuddin University Makassar Sulawesi Selatan Indonesia Doctoral Program Students of Agricultural Science Postgraduate School Hasanuddin University. Makassar Sulawesi Selatan Indonesia Department of Fish Processing Technology Balikdiwa High School Technology Maritime of Makassar Sulawesi Selatan Indonesia Department of Food Science Technology Faculty of Agriculture Hasanuddin University Makassar Sulawesi Selatan Indonesia

The institutional sustainability of SMEs is determined by the ability of institutions to build an input-process-output relationship and the contingency power of the environment. The purpose of this study is to analyze the relationship between institutional sustainability and the sustainability of production. Data collection was carried out by field observations, in-depth interviews and documentation and data were analyzed using a case descriptive technique. The results of the study show that SMEs of fish processing unit that can operate sustainably is only 38 percent. Institutional Sustainability of SMEs of fish processing unit can be seen from its ability to provide input systems with continuous in quality and quantity; carry out the production process in accordance with the principles of GMP and SSOP dynamically and continuously; the ability to build a product marketing system through extensive network and marketing cooperation; and maintain contingency with the mandate/task environment; both suppliers, customers and competitors. The contingency power with the political and economic environment supporting the institutional sustainability of SMEs.

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Competitiveness and SMEs production sustainability through the cleaner production (case study: SMEs of fish processing unit in Pinrang Regency, Indonesia)

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IOP Conference Series: Earth and Environmental science 2020年第1期473卷

作者： M Karim D Salman J Genisa Rahmadanih Doctoral Program Students of Agricultural Science Postgraduate School Hasanuddin University. Makassar Sulawesi Selatan Indonesia Departemen of Fish Processing Technology Balikdiwa High School Technology Maritime of Makassar Sulawesi Selatan Indonesia Department of Agribusiness Faculty of Agriculture Hasanuddin University Makassar Sulawesi Selatan Indonesia Department of Food Science Technology Faculty of Agriculture Hasanuddin University Makassar Sulawesi Selatan Indonesia

The challenge for the success of SMEs in Indonesia is increasing competition that demands adaptation to environmental changes. In 2018 SMEs fish processing for boneless frozen milkfish in Pinrang Regency has a production capacity of 150 tons, potentially producing solid, liquid or gas waste. The purpose of this research is to analyze the potential of SME's fish processing waste and its utilization in supporting the sustainability of production. The study was conducted in Pinrang Regency from December 2018 to April 2019 with a qualitative descriptive approach. Data collection through field observation, interviews, and documentation. The results showed that the potential of waste produced by 20-30 percent was used as food, feed and fertilizer products. The diversification of the main products into 'fish meatballs' and 'fish crackers' increases competitiveness and reduction of solid waste. Solid waste is also used to produce by-products in the form of 'shredded milkfish' and 'fishbone sticks'. SMEs fish processing has dynamically applied the concept of clean production in handling and utilizing waste. Waste management has reduced the impact on the SME's fish processing environment. The implementation of clean production has increased production capacity, product diversification, guaranteed product quality, and the welfare of owners and workers. The strategy for handling and managing waste has optimized added value and supports the improvement of competitiveness and sustainability of production.

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Analysis of tsunami hazard in the Southern Coast of West Java Province - Indonesia

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IOP Conference Series: Earth and Environmental science 2020年第1期618卷

作者： W Windupranata N R Hanifa C A D S Nusantara G Aristawati M R Arifianto Research Group of Coastal Ocean and Maritime Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung – Indonesia Research Laboratory of Hydrography Faculty of Earth Sciences and Technology Institut Teknologi Bandung Centre for Earthquake Science and Technology Research Centre for Disaster Mitigation Institut Teknologi Bandung Study Program of Geodesy and Geomatics Engineering Faculty of Earth Sciences and Technology Institut Teknologi Bandung

The Southern Coast of West Java Province in the Java Islands is one of prone and exposed area to tsunami hazard. It has about 428 kilometers coastline length, covering 5 administrational regencies (i.e. Sukabumi, Cianjur, Garut, Tasikmalaya, and Pangandaran). It is a strategic area that support many economic activities including tourism, fisheries, electricity power plants, agricultures, markets as well as social factors such as coastal villages, schools and other public facilities. The existence of this strategic area is threatened by the potential for a tsunami disaster mainly from megathrust along the Southern Coast of Java Island. On 2006, a tsunami earthquake of M7.7 occurred off Pangandaran Regency with tsunami height of 5-8 meters and inundated about 500 meters along southern coast of West and Central Java Province. The tsunami caused more than 600 casualties and damage to buildings, public facilities and insfrastructure. Yet, the Indonesia National Earthquake Source and Hazard Map suggest a bigger threat of a plausible M8.7 – M9.2 megathrust earthquake off Java island. This research aims to analyze and map potential areas affected by the tsunami in the South Coast of West Java Province based on numerical modelling carried out with Cornell Multi-grid Coupled Tsunami Model (COMCOT) v1.7 based on the several megathrust earthquake scenarios in southern off West Java. The results of tsunami modelling show that the highest impact is generated in the Sunda Straits & West Java - Central Java Megathrust Scenarios with highest tsunami inundation and the fastest travel time occurred in Cianjur Regency with 26,7 meters height and estimated arrival time of tsunami wave approximately 10 minutes after the mainshock, while the farthest inundation distance is estimated in Sukabumi Regency about 5.8 kilometers from the coast due to existence of river.

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Bacillus tequilensis Isolated from Fermented Intestine of Holothuria Scabra Produces Fibrinolytic Protease with Thrombolysis Activity

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IOP Conference Series: Earth and Environmental science 2021年第1期707卷

作者： Nur Hidayati Nurrahman Nurrahman Hayatun Fuad Hendra Munandar Dewi Seswita Zilda Aditya Rahman Ernanto Amin Samiasih Oedjijono Oedjijono Stalis Norma Ethica Magister Study Program of Medical Laboratory Science Universitas Muhammadiyah Semarang 50273 Indonesia Food Technology Study Program Faculty of Nursing and Health Sciences Universitas Muhammadiyah Semarang 50273 Indonesia Balai Bio Industri Laut - LIPI (Lembaga Ilmu Penelitian Indonesia) Lombok Nusa Tenggara Barat 83352 Indonesia Research and Development Center for Marine and Fishery Product Processing and Biotechnology Ministry of Maritime Affairs and Fisheries of Indonesia Jakarta 10260 Indonesia Faculty of Nursing and Health Sciences Universitas Muhammadiyah Semarang 50273 Indonesia Faculty of Biology Universitas Jenderal Soedirman Purwokerto 53122 Indonesia

Among essential treatment of cardiovascular disorders are fibrinolytic proteases. Most thrombolysis agents are fibrinolytic enzymes from group of bacterial proteases. This work reports a potent bacterium isolated from fermented intestine of H. scabra, which could produce fibrinolytic protease with high thrombolysis activity. Bacterial selection was conducted based on proteolytic and fibrinolytic activities indicated as clear zone on skim milk and fibrin agar media, respectively. Crude proteases from the selected bacterial isolates were subjected to thrombolytic activity test based on gravimetric method, which results were confirmed after 7 repetitions. As result, 4 fibrinolytic protease-producing bacterial isolates HFSI-3, HFSI-4, HFSI-5 and HFSI-8 were obtained. Among them, HFSI-5 isolate identified as Bacillus tequilensis on the basis of the 16S rRNA gene sequencing and morphological properties produced crude protease with the highest thrombolytic activity. The thrombolytic activity of crude protease produced by B. tequilensis HFSI-5 is worthy of comparing to that of standard fibrinolytic enzyme Nattokinase showing its potential as thrombolysis agent.

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Global tracking of marine megafauna space use reveals how to achieve conservation targets

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science 2025年第6751期388卷 1086-1097页

作者： Ana M. M. Sequeira Jorge P. Rodríguez Sarah A. Marley Hannah J. Calich Mirjam van der Mheen Michelle VanCompernolle Lucy M. Arrowsmith Lauren R. Peel Nuno Queiroz Marisa Vedor Ivo da Costa Gonzalo Mucientes Ana Couto Nicolas E. Humphries Sara Abalo-Morla Francisco J. Abascal Debra L. Abercrombie Katya Abrantes F. Alberto Abreu-Grobois André S. Afonso Pedro Afonso Heidi Ahonen Susanne Åkesson Joanna Alfaro-Shigueto Russel D. Andrews Frédéric Angelier Marina Antonopoulou Javier A. Arata Gonzalo Araujo Randall Arauz José Manuel Arcos Igor Arregui Haritz Arrizabalaga Marie Auger-Méthé Steffen Bach Fred Bailleul Robin W. Baird George H. Balazs Susan G. Barco Adam Barnett Warren Baverstock Alastair M. M. Baylis Annalea Beard Juan Bécares Eduardo J. Belda Ian Bell Ashley Bennison Scott R. Benson Diego Bernal Michael L. Berumen Sandra Bessudo Natalia P. A. Bezerra Antonin V. Blaison Gabriela S. Blanco Barbara A. Block Mark Bolton Mark E. Bond Ramón Bonfil Camrin D. Braun Annette C. Broderick Michael de L. Brooke Annabelle M. L. Brooks Edward J. Brooks Ignacio M. Bruno Jennifer M. Burns Michael E. Byrne Steven E. Campana Hamish A. Campbell Richard A. Campbell Aaron Carlisle Ruth H. Carmichael Gemma Carroll Paolo Casale Filipe R. Ceia Demian D. Chapman Taylor K. Chapple Jean-Benoit Charrassin Andre Chiaradia John Chisholm Christopher R. Clarke Thomas A. Clay Christophe Cleguer Elizabeth Clingham Eric E. G. Clua Jesse E. M. Cochran Rochelle Constantine Robert W. Cooper Estelle Crochelet Michelle Cronin Eduardo Cuevas Kayla P. DaCosta Laurent Dagorn Ryan Daly Randall W. Davis P. J. Nico de Bruyn Carlos Delgado-Trejo Thomas Dellinger Solène Derville Stella Diamant Andrew DiMatteo Kara L. Dodge Philip D. Doherty Michael C. Double Alistair D. M. Dove Thomas K Doyle Michael J. Drew Lindsay L. Dubbs Clinton A. J. Duffy Peter H. Dutton Ewan W. J. Edwards Luke D. Einoder Mark V. Erdmann Eduardo Espinoza Nicole Esteban Ana Isabel Fagundes Chris Feare Steven H. Ferguson Luciana C. Ferreira Francesco Ferretti John Filmalter Brittany F Division of Ecology and Evolution Research School of Biology The Australian National University Canberra (Australian Capital Territory) Australia. UWA Oceans Institute and the School of Biological Sciences The University of Western Australia Perth (Western Australia) Australia. Instituto de Física Interdisciplinar y Sistemas Complejos (IFISC) CSIC-UIB Palma de Mallorca Spain. Instituto Mediterráneo de Estudios Avanzados (IMEDEA) CSIC-UIB Esporles Illes Balears Spain. C.A. Illes Balears Universidad Nacional de Educación a Distancia (UNED) Palma Spain. Delegación Territorial en Illes Balears Agencia Estatal de Meteorología (AEMET) Muelle de Poniente s/n Palma Spain. Scotland’s Rural College (SRUC) Craibstone Estate Bucksburn Aberdeen UK. Oceans Graduate School and the UWA Oceans Institute The University of Western Australia Perth (Western Australia) Australia. School of Engineering and the UWA Oceans Institute The University of Western Australia Perth (Western Australia) Australia. Department of Biodiversity Conservation and Attractions Biodiversity and Conservation Science Kensington (Western Australia) Australia. Save Our Seas Foundation Geneva Switzerland. The Manta Trust Catemwood House Norwood Lane Corscombe Dorset UK. Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO) InBIO Laboratório Associado Campus de Vairão Universidade do Porto Vairão Portugal. BIOPOLIS Program in Genomics Biodiversity and Land Planning Campus de Vairao Vairão Portugal. Instituto de Investigaciones Marinas Consejo Superior de Investigaciones Científicas (IIM-CSIC) Vigo Pontevedra Spain. School of Biological Sciences University of Aberdeen Aberdeen UK. Biomathematics and statistics Scotland The kings building Edinburgh Scotland. Marine Biological Association (MBA) The Laboratory Citadel Hill Plymouth UK. Instituto de Investigación para la Gestión Integrada de Zonas Costeras Universitat Politècnica de València Gandia València Spain. Instituto Español de O

The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of highly mobile marine megafauna, showing that 63% of the area that they cover is used 80% of the time as important migratory corridors or residence areas. The GBF 30% threshold (Target 3) will be insufficient for marine megafauna’s effective conservation, leaving important areas exposed to major anthropogenic threats. Coupling area protection with mitigation strategies (e.g., fishing regulation, wildlife-traffic separation) will be essential to reach international goals and conserve biodiversity.

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A global assessment of microplastic abundance and characteristics on marine turtle nesting beaches

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Marine Pollution Bulletin 2025年 215卷 117768页

作者： Botterell, Zara L.R. Ardren, Jed Dove, Elly McArthur, Ellen Addison, David S. Adegbile, Oyeronke M. Agamboue, Pierre Didier Agyekumhene, Andrews Allman, Phil Alterman, Alexandra Anderson, Adren Arenholz, Theresa Ariano-Sánchez, Daniel Arnold, Zephania Báez, José C. Bahar, Anat Barbosa, Castro Barrios-Garrido, Hector Başkale, Eyup Berumen, Michael L. Bézy, Vanessa S. Blumenthal, Janice Borja Bosquirolli, Manuela R. Boyce, Alysia J. Brammer-Robbins, Elizabeth Branco, Maria Brooks, Annabelle M.L. Bunbury, Nancy Cardona, Luis Chadwick, Helen Chalkias, Giannis Chug, Kimberly Clark, Jessica Cole, Matthew Coppock, Rachel L. Cuevas, Eduardo Dawson, Tiffany M. Denaro, Maria Donadi, Rodrigo Douglas, Corrine Douglas, Ryan Drobes, Emily Dubois, Chloé Duncan, Emily M. Elston, Chloe A. Esteban, Nicole Fernandes, Gabriela Ferreira-Airaud, Maria B. Finn, Sarah A. Fisayo Christie, Jerome Formia, Angela Fossette-Halot, Sabrina Fuentes, Mariana M.P.B. Galloway, Tamara S. Godfrey, Matthew H. Goodfellow, Joanna Guzmán-Hernández, Vicente Hart, Catherine E. Hays, Graeme C. Hirsch, Sarah E. Hochscheid, Sandra Holloway-Adkins, Karen G. Horrocks, Julia A. Inoguchi, Emi Inteca, Gélica E. Jean, Claire Kaska, Yakup Koumba Mabert, Brice Didier Lambot, Amandine Levy, Yaniv Lewis, Ceri Ley-Quiñonez, César P. Lindeque, Penelope K. Llamas, Israel Lopez-Martinez, Sergio López-Navas, Javier Mack, Kelsey Madeira, Fernando M. Maffucci, Fulvio Majewska, Roksana Mancini, Agnese Mansfield, Katherine L. Marco, Adolfo Margaritoulis, Dimitris Marques da Silva, Isabel Martins, Samir Maurer, Andrew S. McFarlane, Wendy J. Mejías-Balsalobre, Carmen Montello, Maxine A. Mortimer, Jeanne A. Nelms, Sarah E. Nogués Vera, Josep Not, Christelle Novillo-Sanjuan, Olga Oceguera Camacho, Karen Omessi, Omri Ondich, Breanna Outerbridge, Mark Paranthoen, Nicolas Pate, Jessica Pate, S. Michelle Patrício, Ana R. Paxinos, Odysseas Pearl, Tami Perrault, Justin R. Picknell, Angela S. Piovano, Susanna Pococa Arellano, Ernesto I. Ponteen, Alwyn Prakash, Shritika S. Quiros Rosales, Centre for Ecology and Conservation University of Exeter CornwallTR10 9FE United Kingdom Conservancy of Southwest Florida Naples Florida United States Nigerian Institute for Oceanography and Marine Research 3 Wilmot Point Road Victoria Island Lagos Nigeria Wildlife Conservation Society - Gabon Program LibrevilleBP 7847 Gabon University of Ghana Department of Marine and Fisheries Science Ghana Goshen College Department of Biology JN Roth Marine Biology Station Long KeyFL33001 United States Georgia Sea Turtle Center 214 Stable Island Rd. Jekyll IslandGA31527 United States Virgin Islands National Park Sea Turtle Program United States Sea Turtle Trackers PO Box 67422 St. Pete BeachFL 33736 United States Department of Natural Sciences and Environmental Health Faculty of Technology Natural Sciences and Maritime Sciences University of South-Eastern Norway Telemark3800 Bø Norway Centro de Estudios Ambientales y Biodiversidad Universidad del Valle de Guatemala 18 Avenida 11-95 zona 15 01015 Guatemala Sea Sense Organization Hse #7 Seleka Street Mikocheni B Dar es Salaam Tanzania United Republic of Plot No. 350 Regent Estate Mikocheni PO Box 63117 Dar es Salaam Tanzania United Republic of Centro Oceanográfico de Málaga Instituto Español de Oceanografía Málaga Spain Instituto Iberoamericano de Desarrollo Sostenible Universidad Autónoma de Chile Av. Alemania 1090 Región de La Araucanía Temuco4810101 Chile Israel Sea Turtle Rescue Center National Nature and Parks Authority Gan Leumi Beit Yanay Kfar Vitkin Israel Dr. Alfredo Simão da Silva Guinea-bissau Red Sea Research Center King Abdullah University of Science and Technology Thuwal Makkah23955 Saudi Arabia TropWATER James Cook University Townsville4811 Australia Laboratorio de Ecologia General Facultad Experimental de Ciencias La Universidad del Zulia Maracaibo04002 Bolivia Department of Biology Faculty of Sciences Pamukkale University Denizli Turkey Red Sea Research Center Division of Bio

Sandy coastal beaches are an important nesting habitat for marine turtles and a known sink for plastic pollution. Existing methodologies for monitoring the spatiotemporal patterns of abundance and composition of plastic are, however, disparate. We engaged a global network of marine turtle scientists to implement a large-scale sampling effort to assess microplastic abundance in beach sediments on marine turtle nesting beaches. Sand samples were collected from 209 sites spanning six oceans, microplastics (1-5 mm) were extracted through stacked sieves, visually identified, and a sub-sample verified via Fourier-transform infrared spectroscopy. Microplastics were detected in 45 % (n = 94) of beaches and within five ocean basins. Microplastic presence and abundance was found to vary markedly within and among ocean basins, with the highest proportion of contaminated beaches found in the Mediterranean (80 %). We present all data in an accessible, open access format to facilitate the extension of monitoring efforts and empower novel analytical approaches. © 2025 The Authors

关键词： Fourier transform infrared spectroscopy

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Worldwide Soundscapes: A Synthesis of Passive Acoustic Monitoring Across Realms

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Global Ecology and Biogeography 2025年第5期34卷

作者： Kevin F. A. Darras Rodney A. Rountree Steven L. Van Wilgenburg Anna F. Cord Frederik Pitz Youfang Chen Lijun Dong Agnès Rocquencourt Camille Desjonquères Patrick Mauritz Diaz Tzu-Hao Lin Théophile Turco Louise Emmerson Tom Bradfer-Lawrence Amandine Gasc Sarah Marley Marcus Salton Laura Schillé Paul J. Wensveen Shih-Hung Wu Adriana C. Acero-Murcia Orlando Acevedo-Charry Matyáš Adam Jacopo Aguzzi Irmak Akoglu M. Clara P. Amorim Mina Anders Michel André Alexandre Antonelli Leandro Aparecido Do Nascimento Giulliana Appel Stephanie Archer Christos Astaras Andrey Atemasov Jamieson Atkinson Joël Attia Emanuel Baltag Luc Barbaro Fritjof Basan Carly Batist Julio Ernesto Baumgarten Just T. Bayle Sempere Kristen Bellisario Asaf Ben David Oded Berger-Tal Frédéric Bertucci Matthew G. Betts Iqbal S. Bhalla Thiago Bicudo Marta Bolgan Sara Bombaci Gerard Bota Martin Boullhesen Robert A. Briers Susannah Buchan Michal Budka Katie Burchard Giuseppa Buscaino Alice Calvente Marconi Campos-Cerqueira Maria Isabel Carvalho Gonçalves Maria Ceraulo Maite Cerezo-Araujo Gunnar Cerwén Adams A. Chaskda Maria Chistopolova Christopher W. Clark Kieran D. Cox Benjamin Cretois Chapin Czarnecki Luis P. da Silva Wigna da Silva Laurence H. De Clippele David de la Haye Ana Silvia de Oliveira Tissiani Devin de Zwaan M. Eugenia Degano Jessica Deichmann Joaquin del Rio Christian Devenish Ricardo Díaz-Delgado Pedro Diniz Dorgival Diógenes Oliveira-Júnior Thiago Dorigo Saskia Dröge Marina Duarte Adam Duarte Kerry Dunleavy Robert Dziak Simon Elise Hiroto Enari Haruka S. Enari Florence Erbs Britas Klemens Eriksson Pınar Ertör-Akyazi Nina C. Ferrari Luane Ferreira Abram B. Fleishman Paulo J. Fonseca Bárbara Freitas Nicholas R. Friedman Jérémy S. P. Froidevaux Svetlana Gogoleva Carolina Gonzaga José Miguel González Correa Eben Goodale Benjamin Gottesman Ingo Grass Jack Greenhalgh Jocelyn Gregoire Samuel Haché Jonas Hagge William Halliday Antonia Hammer Tara Hanf-Dressler Sylvain Haupert Samara Haver Becky Heath Daniel Hending Jose Hernandez-Blanco Dennis Higgs EFNO ECODIV INRAE Domaine des Barres Nogent-sur-Vernisson France Sustainable Agricultural Systems & Engineering Lab School of Engineering Westlake University Hangzhou Zhejiang China Chair of Computational Landscape Ecology Faculty of Environmental Sciences Dresden University of Technology Dresden Germany Biology Department University of Victoria Victoria British Columbia Canada The Fish Listener Waguoit Massachusetts USA Terrestrial Unit Prairie Region Canadian Wildlife Service Environment & Climate Change Canada Prairie & Northern Wildlife Research Centre Saskatoon Saskatchewan Canada Agro-ecological Modeling Group Faculty of Agriculture University of Bonn Bonn Germany Marine Mammal and Marine Bioacoustics Laboratory Department of Deep Sea Science Institute of Deep-sea Science and Engineering Chinese Academy of Sciences Sanya Hainan China Institut de Systématique Évolution Biodiversité Muséum National d’Histoire Naturelle Paris France Université Grenoble Alpes Université Savoie Mont Blanc CNRS LECA Grenoble France Climate Change and Biodiversity Hanns R. Neumann Stiftung Indonesia Muaradua Indonesia Biodiversity Research Center Academia Sinica Nankang Taipei Taiwan ENES Bioacoustics Research Laboratory University of Saint-Etienne CRNL CNRS UMR 5292 Inserm UMR_S 1028 Saint-Etienne France Australian Antarctic Division Science Branch Department of Climate Change Energy Environment and Water Channel Highway Kingston Tasmania Australia Biological and Environmental Sciences University of Stirling Stirling Scotland Centre for Conservation Science RSPB Edinburgh UK IMBE Aix Marseille Univ Avignon Univ CNRS IRD Aix-en-Provence France Scotland's Rural College Craibstone Estate Aberdeen UK BIOGECO INRAE University of Bordeaux Cestas France Westman Islands Research Centre University of Iceland Vestmannaeyjar Iceland Qigu Research Center Taiwan Biodiversity Research Institute Nantou County Taiwan Programa de Pós-graduação em Ecologia

Aim The urgency for remote, reliable and scalable biodiversity monitoring amidst mounting human pressures on ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), which can track life underwater and on land. However, we lack a unified methodology to report this sampling effort and a comprehensive overview of PAM coverage to gauge its potential as a global research and monitoring tool. To address this gap, we created the Worldwide Soundscapes project, a collaborative network and growing database comprising metadata from 416 datasets across all realms (terrestrial, marine, freshwater and subterranean). Location Worldwide, 12,343 sites, all ecosystem types. Time Period 1991 to present. Major Taxa Studied All soniferous taxa. Methods We synthesise sampling coverage across spatial, temporal and ecological scales using metadata describing sampling locations, deployment schedules, focal taxa and audio recording parameters. We explore global trends in biological, anthropogenic and geophysical sounds based on 168 selected recordings from 12 ecosystems across all realms. Results Terrestrial sampling is spatially denser (46 sites per million square kilometre—Mkm 2 ) than aquatic sampling (0.3 and 1.8 sites/Mkm 2 in oceans and fresh water) with only two subterranean datasets. Although diel and lunar cycles are well sampled across realms, only marine datasets (55%) comprehensively sample all seasons. Across the 12 ecosystems selected for exploring global acoustic trends, biological sounds showed contrasting diel patterns across ecosystems, declined with distance from the Equator, and were negatively correlated with anthropogenic sounds. Main Conclusions PAM can inform macroecological studies as well as global conservation and phenology syntheses, but representation can be improved by expanding terrestrial taxonomic scope, sampling coverage in the high seas and subterranean ecosystems, and spatio-temporal replication in freshwater habitats. Overall, this

关键词： ARU automated sound recorder biodiversity conservation biology ecoacoustics IUCN GET realm Passive Acoustic Monitoring phenology soundscape ecology

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BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

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Global Ecology and Biogeography 2025年第5期34卷

作者： Maria Dornelas Laura H. Antão Amanda E. Bates Viviana Brambilla Jonathan M. Chase Cher F. Y. Chow Ada Fontrodona-Eslava Anne E. Magurran Inês S. Martins Faye Moyes Alban Sagouis Samuel Adu-Acheampong Daniel Acquah-Lamptey Dušan Adam Penelope A. Ajani Aitor Albaina Pablo Almaraz Jeongseop An Roger Sigismund Anderson Madelaine Jean Robertson Anderson Alexsander Z. Antunes Ivan Arismendi Linda Armbrecht Pedro Aros-Mardones Sreejith Kalpuzha Ashtamoorthy Narayanan Ayyappan Gal Badihi Joseph J. Bailey Andrew H. Baird Mark Edward Baird Sreekumar Vadakkethil Balakrishnan José António L. Barão-Nóbrega Adi Barash Miguel Barbosa Jos Barlow Claus Bässler Matthieu Beaumont Natalie Beenaerts Tiago Octavio Begot Wallace Beiroz Ricardo Beldade David M. Bell Alecia Bellgrove Jonathan Belmaker Lisandro Benedetti-Cecchi Cassandra E. Benkwitt Pamela Medina-van Berkum Brandon T. Bestelmeyer Matthew G. Betts Maxwell Kelvin Billah Anne D. Bjorkman Magdalena Błażewicz Christopher P. Bloch Shane A. Blowes Antonio Bode Juliano A. Bogoni Thomas Bolger Timothy C. Bonebrake Erik Bonsdorff Roberta Bottarin Luke N. Brokensha Rob W. Brooker Andrew J. Brooks Helge Bruelheide Thiago Almeida Bueno Claire Laguionie Mariana Lopes Campagnoli James Cant Erica Pellegrini Caramaschi Alexandre Caron Tadhg Carroll Tancredi Caruso Juan Carvajal-Quintero Giuseppe Castaldelli Edward Castañeda-Moya Pedro V. Castilho Sonia Zanini Cechin Shahar Chaikin Uchangi Manjunatha Chandrashekara Tory J. Chase Chaolun Allen Chen Jorge José Cherem Sei-Woong Choi Erica M. Christensen Alexander V. Christianini Jackson Wing Four Chu Peter Coad Carl Van Colen Lise Comte Elisabeth J. Cooper J. Hans C. Cornelissen Eddy Cosson Unai Cotano Luc Crevecoeur Shannan Kyle Crow Graeme S. Cumming Vanessa S. Daga Gabriella Damasceno Gergana N. Daskalova Claire H. Davies Robert A. Davis Frank P. Day Sussy De-La-Zerda Amy Elizabeth Deacon Indradatta de Castro-Arrazola Steven Degraer Kharran Deonarinesingh Juan C. Diaz-Ricaurte Christopher R. Dickman Tara Dirilgen Ciaran John Dolan J. Emmet Centre for Biological Diversity School of Biology University of St Andrews Fife UK MARE—Centro de Ciências do Mar e do Ambiente Faculdade de Ciências Universidade de Lisboa Lisboa Portugal Research Centre for Ecological Change Organismal and Evolutionary Biology Research Programme Faculty of Biological and Environmental Sciences University of Helsinki Helsinki Finland Department of Biology University of Victoria Victoria British Columbia Canada German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig Leipzig Germany Department of Computer Science Martin Luther University Halle-Wittenberg Halle (Saale) Germany Leverhulme Centre for Anthropocene Biodiversity Department of Biology University of York York UK Department of Animal Biology and Conservation Science University of Ghana Accra Ghana Philipps Universität Marburg Marburg Germany Department of Forest Ecology Silva Tarouca Research Institute Brno Czech Republic School of Life Sciences University of Technology Sydney Sydney New South Wales Australia Zoology and Animal Cell Biology Department University of the Basque Country (UPV/EHU) Leioa Spain Grupo de Oceanografía de Ecosistemas Instituto de Ciencias Marinas de Andalucía CSIC Campus Universitario de Puerto Real Puerto Real Spain National Institute of Ecology Seocheon Republic of Korea African Regional Postgraduate Programme in Insect Science University of Ghana Accra Ghana Département de Biologie Université de Sherbrooke Sherbrooke Quebec Canada Núcleo de Conservação da Biodiversidade Instituto de Pesquisas Ambientais Secretaria de Meio Ambiente Infraestrutura e Logística do Estado de São Paulo São Paulo Brazil Department of Fisheries Wildlife and Conservation Sciences Oregon State University Corvallis Oregon USA Institute for Marine and Antarctic Studies Ecology & Biodiversity Centre University of Tasmania Hobart Tasmania Australia Graduate Program in Oceanography Department of Oceanography Faculty of Natural Scienc

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.

关键词： assemblage biodiversity community database ecoinformatics species taxa time

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Analysis of more than 400,000 women provides case-control evidence for BRCA1 and BRCA2 variant classification

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Nature communications 2025年第1期16卷 4852页

作者： Maria Zanti Denise G O'Mahony Michael T Parsons Leila Dorling Joe Dennis Nicholas J Boddicker Wenan Chen Chunling Hu Marc Naven Kristia Yiangou Thomas U Ahearn Christine B Ambrosone Irene L Andrulis Antonis C Antoniou Paul L Auer Caroline Baynes Clara Bodelon Natalia V Bogdanova Stig E Bojesen Manjeet K Bolla Kristen D Brantley Nicola J Camp Archie Campbell Jose E Castelao Melissa H Cessna Jenny Chang-Claude Fei Chen Georgia Chenevix-Trench Don M Conroy Kamila Czene Arcangela De Nicolo Susan M Domchek Thilo Dörk Alison M Dunning A Heather Eliassen D Gareth Evans Peter A Fasching Jonine D Figueroa Henrik Flyger Manuela Gago-Dominguez Montserrat García-Closas Gord Glendon Anna González-Neira Felix Grassmann Andreas Hadjisavvas Christopher A Haiman Ute Hamann Steven N Hart Mikael B A Hartman Weang-Kee Ho James M Hodge Reiner Hoppe Sacha J Howell Anna Jakubowska Elza K Khusnutdinova Yon-Dschun Ko Peter Kraft Vessela N Kristensen James V Lacey Jingmei Li Geok Hoon Lim Sara Lindström Artitaya Lophatananon Craig Luccarini Arto Mannermaa Maria Elena Martinez Dimitrios Mavroudis Roger L Milne Kenneth Muir Katherine L Nathanson Rocio Nuñez-Torres Nadia Obi Janet E Olson Julie R Palmer Mihalis I Panayiotidis Alpa V Patel Paul D P Pharoah Eric C Polley Muhammad U Rashid Kathryn J Ruddy Emmanouil Saloustros Elinor J Sawyer Marjanka K Schmidt Melissa C Southey Veronique Kiak-Mien Tan Soo Hwang Teo Lauren R Teras Diana Torres Amy Trentham-Dietz Thérèse Truong Celine M Vachon Qin Wang Jeffrey N Weitzel Siddhartha Yadav Song Yao Gary R Zirpoli Melissa S Cline Peter Devilee Sean V Tavtigian David E Goldgar Fergus J Couch Douglas F Easton Amanda B Spurdle Kyriaki Michailidou Biostatistics Unit The Cyprus Institute of Neurology & Genetics Nicosia Cyprus. Department of Medical Genetics Oslo University Hospital Oslo Norway. Population Health Program QIMR Berghofer Medical Research Institute Brisbane Queensland Australia. Centre for Cancer Genetic Epidemiology Department of Public Health and Primary Care University of Cambridge Cambridge UK. Department of Quantitative Health Sciences Division of Computational Biology Mayo Clinic Rochester MN USA. Department of Laboratory Medicine and Pathology Mayo Clinic Rochester MN USA. Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Department of Health and Human Services Bethesda MD USA. Department of Cancer Prevention and Control Roswell Park Comprehensive Cancer Institute Buffalo NY USA. Fred A. Litwin Center for Cancer Genetics Lunenfeld-Tanenbaum Research Institute of Mount Sinai Hospital Toronto Ontario Canada. Department of Molecular Genetics University of Toronto Toronto Ontario Canada. Division of Biostatistics Data Science Institute and Cancer Center Medical College of Wisconsin Milwaukee WI USA. Centre for Cancer Genetic Epidemiology Department of Oncology University of Cambridge Cambridge UK. Department of Population Science American Cancer Society Atlanta GA USA. Radiation Oncology Research Unit Hannover Medical School Hannover Germany. Copenhagen General Population Study Herlev and Gentofte Hospital Copenhagen University Hospital Herlev Denmark. Department of Clinical Biochemistry Herlev and Gentofte Hospital Copenhagen University Hospital Herlev Denmark. Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark. Department of Medical Oncology Dana-Farber Cancer Institute Boston MA USA. Department of Internal Medicine and Huntsman Cancer Institute University of Utah Salt Lake City UT USA. Centre for Genomic and Experimental Medicine Institute of Genetics & Cancer The University of Ed

Clinical genetic testing identifies variants causal for hereditary cancer, information that is used for risk assessment and clinical management. Unfortunately, some variants identified are of uncertain clinical significance (VUS), complicating patient management. Case-control data is one evidence type used to classify VUS. As an initiative of the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Analytical Working Group we analyze germline sequencing data of BRCA1 and BRCA2 from 96,691 female breast cancer cases and 302,116 controls from three studies: the BRIDGES study of the Breast Cancer Association Consortium, the Cancer Risk Estimates Related to Susceptibility consortium, and the UK Biobank. We observe 11,207 BRCA1 and BRCA2 variants, with 6909 being coding, covering 23.4% of BRCA1 and BRCA2 VUS in ClinVar and 19.2% of ClinVar curated (likely) benign or pathogenic variants. Case-control likelihood ratio (ccLR) evidence is highly consistent with ClinVar assertions for (likely) benign or pathogenic variants; exhibiting 99.1% sensitivity and 95.3% specificity for BRCA1 and 93.3% sensitivity and 86.6% specificity for BRCA2. This approach provides case-control evidence for 787 unclassified variants; these include 579 with strong or moderate benign evidence and 10 with strong pathogenic evidence for which ccLR evidence is sufficient to alter clinical classification.

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Correction to: Association of dietary inflammatory potential with cardiometabolic risk factors and diseases: a systematic review and dose-response meta-analysis of observational studies

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Diabetology & metabolic syndrome 2020年第1期12卷 106页

作者： Zahra Aslani Omid Sadeghi Motahar Heidari-Beni Hoda Zahedi Fereshteh Baygi Nitin Shivappa James R Hébert Sajjad Moradi Gity Sotoudeh Hamid Asayesh Shirin Djalalinia Mostafa Qorbani Department of Community Nutrition School of Nutritional Sciences and Dietetics Tehran University of Medical Sciences Tehran Iran. Students' Scientific Research Center Tehran University of Medical Sciences Tehran Iran. Child Growth and Development Research Center Research Institute for Primordial Prevention of Non-Communicable Disease Isfahan University of Medical Sciences Isfahan Iran. Hematopoietic Stem Cell Research Center Shahid Beheshti University of Medical Sciences Tehran Iran. Center of Maritime Health and Society Department of Public Health University of Southern Denmark Esbjerg Denmark. Cancer Prevention and Control Program University of South Carolina Columbia SC 29208 USA. Department of Epidemiology and Biostatistics Arnold School of Public Health University of South Carolina Columbia SC 29208 USA. Connecting Health Innovations LLC Columbia SC 29201 USA. Halal Research Center of IRI FDA Tehran Iran. Department of Clinical Nutrition School of Nutrition and Food Science Isfahan University of Medical Sciences Isfahan Iran. Department of Medical Emergencies Qom University of Medical Sciences Qom Iran. Development of Research & Technology Center Ministry of Health and Medical Education Tehran Iran. Non-Communicable Diseases Research Center Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran. Non-Communicable Diseases Research Center Alborz University of Medical Sciences Karaj Iran. mqorbani1379@***. Chronic Diseases Research Center Endocrinology and Metabolism Population Sciences Institute Tehran University of Medical Sciences Tehran Iran. mqorbani1379@***.

An amendment to this paper has been published and can be accessed via the original article.

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