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Diel and seasonal activity pattern of alien sika deer with sympatric mammalian species from Muljangori-oreum wetland of Hallasan National Park, South Korean

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Journal of Ecology and Environment 2021年第1期45卷 88-96页

作者： Banjade, Maniram Han, Sang-Hyun Jeong, Young-Hun Oh, Hong-Shik Faculty of Science Education Jeju National University Jeju 63243 South Korea Korean National Park Institute of Biodiversity Conservation Korean National Park Service Gurye 57616 South Korea Interdisciplinary Graduate Programme in Advance Convergence Technology and Science Faculty of Science Education Jeju National University Jeju 63243 South Korea

Background: Sika deer, Cervus nippon, were originally introduced to South Korea from Japan and Taiwan for commercial farming purposes. Unfortunately, they were released into the wild during religious events and have since begun to impact the native ecosystem and species endemic to South Korea. The study of activity patterns can improve our understanding of the environmental impact of non-native species and their association with sympatric species. Using camera traps, we studied the diel and seasonal activity patterns of non-native sika deer and quantified the temporal overlap with sympatric mammalian species in the Muljangori-oreum wetlands of Hallasan National Park, South Korea. Results: A total of 970 trap events were recorded for five mammalian species from nine locations during the camera-trap survey. Siberian roe deer (Capreoluspygargus tianschanicus) had the highest number of recorded events (72.0%), followed by sika deer (Cervus nippon) (16.2%), wild boar (Sus scrofa) (5.0%), Asian badger (Meles leucurus) (4.5%), and the Jeju weasel (Mustela sibirica quelpartis) (2.0%). Sika deer had bimodal activity patterns throughout the year, with peaks throughout the spring-autumn twilight, and day and night time throughout the winter. Relating the daily activity of sika deer with other mammalian species, roe deer expressed the highest degree of overlap (∆₄ = 0.80) while the Asian badger demonstrated the lowest overlap (∆₄ = 0.37). Conclusions: Our data show that sika deer are a crepuscular species with seasonal variations in daily activity patterns. Additionally, we identified the temporal differences in activity peaks between different mammals in the Muljangori-oreum wetlands and found higher degree of overlap between sika deer and roe deer during twilight hours. © 2021, The Author(s).

关键词： Camera traps Diel activity Management Sika deer Sympatric species

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Cultivation of Chlorella sp. HS2 using wastewater from soy sauce factory

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Chemosphere 2023年 342卷 140162页

作者： Kim, Minsik Lee, Sang-Ah Yun, Jin-Ho Ko, So-Ra Cho, Dae-Hyun Kim, Hee Su Oh, Hee-Mock Kim, Hee-Sik Ahn, Chi-Yong Daejeon34141 Korea Republic of Dept. of Biological Engineering Inha University Incheon22212 Korea Republic of Faculty of Biotechnology College of Applied Life Sciences Jeju National University Jeju63243 Korea Republic of Interdisciplinary Graduate Program in Advance Convergence Technology and Science Jeju National University Jeju63243 Korea Republic of Department of Integrative Biotechnology Sungkyunkwan University Gyeonggi-do Suwon16419 Korea Republic of FarmHannong Chungcheongnam-do Nonsan33010 Korea Republic of

Incorporation of wastewater from industrial sectors into the design of microalgal biorefineries has significant potential for advancing the practical application of this emerging industry. This study tested various food industrial wastewaters to assess their suitability for microalgal cultivation. Among these wastewaters, defective soy sauce (DSS) and soy sauce wastewater (SWW) were chosen but DSS exhibited the highest nutrient content with 13,500 ppm total nitrogen and 3051 ppm total phosphorus. After diluting DSS by a factor of 50, small-scale cultivation of microalgae was conducted to optimize culture conditions. SWW exhibited optimal growth at 25–30 °C and 300–500 μE m−2 s−1, while DSS showed optimal growth at 30–35 °C. Based on a 100-mL lab-scale and 3-L outdoor cultivation with an extended cultivation period, DSS outperformed SWW, exhibiting higher final biomass productivity. Additionally, nutrient-concentrated nature of DSS is advantageous for transportation at an industrial scale, leading us to select it as the most promising feedstock for microalgal cultivation. With further optimization, DSS has the potential to serve as an effective microalgal cultivation feedstock for large-scale biomass production. © 2023 The Authors

关键词： Microalgae

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First report on the reproduction of captive Chinese many-toothed snake (Sibynophis chinensis) in Jeju Island, South Korea

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Journal of Ecology and Environment 2020年第1期44卷 1页

作者： Banjade, Maniram Jeong, Young-Hun Han, Sang-Hyun Kim, Yoo-Kyung Kim, Byung Soo Oh, Hong-Shik Faculty of Science Education Jeju National University Jeju 6324 South Korea Korean National Park Institute of Biodiversity Conservation Korean National Park Service Wonju South Korea Shinseong Girls Middle School Jeju City Jeju Island South Korea Interdisciplinary Graduate Programme in Advance Convergence Technology and Science Faculty of Science Education Jeju National University Jeju 6324 South Korea

The Chinese many-toothed snake (Sibynophis chinensis) is an endangered species in South Korea. To determine its reproductive activity, here we captured a gravid S. chinensis from Mulyeongari Oreum Wetland Conservation Area, Jeju Island, on May 27, 2018, and reared it at Animal Taxonomy and Morphology Laboratory, Jeju National University, South Korea. The snake oviposited a clutch of six eggs between June 12 and 20, 2018, with an average size of 24.86 ± 1.36 mm in length and 9.86 ± 0.49 mm in width, which were artificially incubated at a constant temperature of 27 °C. After incubating for 34-41 days, five of these six eggs successfully hatched. Average snout-vent length (SVL), tail length (TL), and body weight (BW) of hatchlings were 136.5 ± 5.17 mm, 47.76 ± 2.80 mm, and 1.66 ± 0.12 g, respectively. This study observed the reproductive activity of S. chinensis and characterized its eggs and hatchlings for the first time, providing valuable information for the long-term conservation plan of S. chinensis in South Korea. © 2020 The Author(s).

关键词： Clutch size Egg characteristics Egg-laying Hatchling Sibynophis chinensis

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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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Sequence data and association statistics from 12,940 type 2 diabetes cases and controls

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Scientific data 2017年第1期4卷 170179页

作者： Jason Flannick Christian Fuchsberger Anubha Mahajan Tanya M Teslovich Vineeta Agarwala Kyle J Gaulton Lizz Caulkins Ryan Koesterer Clement Ma Loukas Moutsianas Davis J McCarthy Manuel A Rivas John R B Perry Xueling Sim Thomas W Blackwell Neil R Robertson N William Rayner Pablo Cingolani Adam E Locke Juan Fernandez Tajes Heather M Highland Josee Dupuis Peter S Chines Cecilia M Lindgren Christopher Hartl Anne U Jackson Han Chen Jeroen R Huyghe Martijn van de Bunt Richard D Pearson Ashish Kumar Martina Müller-Nurasyid Niels Grarup Heather M Stringham Eric R Gamazon Jaehoon Lee Yuhui Chen Robert A Scott Jennifer E Below Peng Chen Jinyan Huang Min Jin Go Michael L Stitzel Dorota Pasko Stephen C J Parker Tibor V Varga Todd Green Nicola L Beer Aaron G Day-Williams Teresa Ferreira Tasha Fingerlin Momoko Horikoshi Cheng Hu Iksoo Huh Mohammad Kamran Ikram Bong-Jo Kim Yongkang Kim Young Jin Kim Min-Seok Kwon Juyoung Lee Selyeong Lee Keng-Han Lin Taylor J Maxwell Yoshihiko Nagai Xu Wang Ryan P Welch Joon Yoon Weihua Zhang Nir Barzilai Benjamin F Voight Bok-Ghee Han Christopher P Jenkinson Teemu Kuulasmaa Johanna Kuusisto Alisa Manning Maggie C Y Ng Nicholette D Palmer Beverley Balkau Alena Stančáková Hanna E Abboud Heiner Boeing Vilmantas Giedraitis Dorairaj Prabhakaran Omri Gottesman James Scott Jason Carey Phoenix Kwan George Grant Joshua D Smith Benjamin M Neale Shaun Purcell Adam S Butterworth Joanna M M Howson Heung Man Lee Yingchang Lu Soo-Heon Kwak Wei Zhao John Danesh Vincent K L Lam Kyong Soo Park Danish Saleheen Wing Yee So Claudia H T Tam Uzma Afzal David Aguilar Rector Arya Tin Aung Edmund Chan Carmen Navarro Ching-Yu Cheng Domenico Palli Adolfo Correa Joanne E Curran Dennis Rybin Vidya S Farook Sharon P Fowler Barry I Freedman Michael Griswold Daniel Esten Hale Pamela J Hicks Chiea-Chuen Khor Satish Kumar Benjamin Lehne Dorothée Thuillier Wei Yen Lim Jianjun Liu Marie Loh Solomon K Musani Sobha Puppala William R Scott Loïc Yengo Sian-Tsung Tan Herman A Taylor Farook Thameem Gregory Wilson Tien Yin Wong Pål Rasmu Department of Molecular Biology Massachusetts General Hospital Boston Massachusetts USA. Program in Medical and Population Genetics Broad Institute Cambridge Massachusetts USA. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor Michigan USA. Wellcome Trust Centre for Human Genetics Nuffield Department of Medicine University of Oxford Oxford UK. Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge Massachusetts USA. Department of Statistics University of Oxford Oxford UK. Genetics of Complex Traits University of Exeter Medical School University of Exeter Exeter UK. MRC Epidemiology Unit Institute of Metabolic Science University of Cambridge Cambridge UK. Department of Twin Research and Genetic Epidemiology King's College London London UK. Oxford Centre for Diabetes Endocrinology and Metabolism Radcliffe Department of Medicine University of Oxford Oxford UK. Department of Human Genetics Wellcome Trust Sanger Institute Hinxton Cambridgeshire UK. School of Computer Science McGill University Montreal Quebec Canada. McGill University and Génome Québec Innovation Centre Montreal Quebec Canada. Human Genetics Center The University of Texas Graduate School of Biomedical Sciences at Houston The University of Texas Health Science Center at Houston Houston Texas USA. Department of Biostatistics Boston University School of Public Health Boston Massachusetts USA. National Heart Lung and Blood Institute's Framingham Heart Study Framingham Massachusetts USA. Medical Genomics and Metabolic Genetics Branch National Human Genome Research Institute National Institutes of Health Bethesda Maryland USA. Department of Biostatistics Harvard School of Public Health Boston Massachusetts USA. Chronic Disease Epidemiology Swiss Tropical and Public Health Institute University of Basel Basel Switzerland. Institute of Genetic Epidemiology Helmholtz Zentrum München German R

To investigate the genetic basis of type 2 diabetes (T2D) to high resolution, the GoT2D and T2D-GENES consortia catalogued variation from whole-genome sequencing of 2,657 European individuals and exome sequencing of 12,940 individuals of multiple ancestries. Over 27M SNPs, indels, and structural variants were identified, including 99% of low-frequency (minor allele frequency [MAF] 0.1-5%) non-coding variants in the whole-genome sequenced individuals and 99.7% of low-frequency coding variants in the whole-exome sequenced individuals. Each variant was tested for association with T2D in the sequenced individuals, and, to increase power, most were tested in larger numbers of individuals (>80% of low-frequency coding variants in ~82 K Europeans via the exome chip, and ~90% of low-frequency non-coding variants in ~44 K Europeans via genotype imputation). The variants, genotypes, and association statistics from these analyses provide the largest reference to date of human genetic information relevant to T2D, for use in activities such as T2D-focused genotype imputation, functional characterization of variants or genes, and other novel analyses to detect associations between sequence variation and T2D.

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