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Effect of natural rubber latex adhesive content on the physical and mechanical properties of agriboard from cassava stem wastes

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AIP Conference Proceedings 2022年第1期2563卷 040005页

作者： Nana Aprilliana Wahyu Hidayat Sandi Asmara Muhammad Adly Rahandi Lubis Samsul Bakri Sri Hidayati Graduate Program of Environmental Science Universitas Lampung Jl. Sumantri Brojonegoro 1 Bandar Lampung 35145 Lampung Indonesia Department of Forestry Faculty of Agriculture University of Lampung. Jl. Sumantri Brojonegoro 1 Bandar Lampung 35145 Lampung Indonesia Department of Agricultural Engineering Faculty of Agriculture University of Lampung Jl. Sumantri Brojonegoro 1 Bandar Lampung 35145 Lampung Indonesia Research Center for Biomaterials Indonesian Institute of Sciences (LIPI). Jl. Raya Bogor Km. 46 Cibinong Bogor 16911 West Java Indonesia Department of Agricultural Product Technology Faculty of Agriculture University of Lampung Jl. Sumantri Brojonegoro 1 Bandar Lampung 35145 Lampung Indonesia

Indonesia is one of the largest cassava producers globally, where the cassava wastes have not been optimally utilized yet. Cassava stems are lignocellulosic materials that are potential as raw materials for composite boards. This study aims to determine the effect of the adhesive content of Natural Rubber Latex (NRL) adhesive on the physical and mechanical properties of particleboard from the waste of cassava stems (agriboard). The NRL-based adhesives were formulated from natural rubber, poly(vinyl) alcohol, and isocyanate. The levels of NRL adhesive used were 10%, 15%, and 20%. The agriboard panels were prepared with a size of 400 mm×400 mm×10 mm and a target density of 0.7 g/cm3. The board was hot-pressed at 60°C under 10 MPa of pressure for 30 minutes. Evaluation of physical and mechanical properties was done according to JIS 5908-2003 standard. The results showed that the density of agriboard ranged from 0.65–0.74 g/cm3, and the moisture content was around 4.51–5.34%. Water absorption and thickness swelling of agriboard panel ranged from 61.84–70.84% and 23.67–28.77%, respectively. The results revealed that the dimensional stability of agriboard increased with the higher adhesive content, indicating that the urethane linkages produced from the reaction between –NCO of isocyanate and –OH of cassava stems enhanced the adhesion strength of the panel. The MOE and MOR values of agriboard were in the range of 229.20-331.38 MPa and 2.49-3.13 MPa, respectively. The mechanical properties of the panel also increased with higher adhesive content, and the optimum result was obtained by using 20% of adhesive content. In addition, the NRL-bonded panel did not emit formaldehyde, as the panel did not bond with formaldehyde-based adhesives. The results showed that cassava stems and NRL adhesive could be used as an alternative composite product that is renewable and environmentally friendly, particularly for non-structural and interior applications. Keywords: cassava stem, compos

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environmental assessment of a small power plant based on palm kernel shell gasification

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AIP Conference Proceedings 2020年第1期2296卷

作者： Muhammad Akvis Fauzi Prabang Setyono Sunu Herwi Pranolo 1Magister Study Program of Environmental Science Postgraduate Universitas Sebelas Maret Jl. Ir. Sutami 36A Surakarta 57126 Indonesia 2Magister Study Program of Chemical Engineering Faculty of Engineering Universitas Sebelas Maret Jl. Ir. Sutami 36A Surakarta 57126 Indonesia

A small power plant based on biomass gasification technology is attractive to provide electricity to many remote areas without fossil fuel access because biomass is locally available and contributes to net-zero carbon emissions in the terms of a greenhouse gas component. Palm kernel shell is a potential biomass in Indonesia to provide energy needs. It is available in scattered areas that are economical for a small-scale power plant operation up to 200 kW. The gasification technology converts the shell into combustible gases, which are also known as producer gases with carbon monoxide and hydrogen as the main components for fuelling a gas generator set resulting in carbon dioxide and water in the flue gas. Although palm kernel shell considered carbon-neutral, a power plant based on biomass gasification also emits CO2 indirectly as a result of the fossil fuel combustion during shell generation in a palm oil mill, handling and transportation from the mill to the power plant. A power plant based on the palm kernel shell gasification system produces greenhouse gases and solid residue as char and tarry components in the producer gas. This assessment examined the global warming potential level of a 5-kW power plant based on palm kernel gasification technology using a Gate-to-Gate approach to develop system improvement scenarios. All carbon dioxide emissions were predicted with an openLCA database of environmental Footprint (MID-point indicator). The mass and energy balance calculations resulted in the amount of generated char. A laboratory experiment was conducted to observe tar content in the producer gas. It was found that the power plant emits 1.69 kg CO2 eq/kWh, produces 0.33 kg char/kWh and the producer gas contains 2.70 × 10−4 kg tar/kWh. It is recommended that when using palm kernel gasification for electricity generation, plant managers should consider char as a solid conditioner in a palm plantation area and implement a tar removal system to minimize gas genset fa

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Fungal diversity notes 1151-1276:taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2020年第1期100卷 5-277页

作者： Kevin DHyde Yang Dong Rungtiwa Phookamsak Rajesh Jeewon DJayarama Bhat EBGareth Jones Ning‑Guo Liu Pranami DAbeywickrama Ausana Mapook Deping Wei Rekhani HPerera Ishara SManawasinghe Dhandevi Pem Digvijayini Bundhun Anuruddha Karunarathna Anusha HEkanayaka Dan‑Feng Bao Junfu Li Milan CSamarakoon Napalai Chaiwan Chuan‑Gen Lin Kunthida Phutthacharoen Sheng‑Nan Zhang Indunil CSenanayake Ishani DGoonasekara Kasun MThambugala Chayanard Phukhamsakda Danushka STennakoon Hong‑Bo Jiang Jing Yang Ming Zeng Naruemon Huanraluek Jian‑Kui(Jack)Liu Subodini NWijesinghe Qing Tian Saowaluck Tibpromma Rashika SBrahmanage Saranyaphat Boonmee Shi‑Ke Huang Vinodhini Thiyagaraja Yong‑Zhong Lu Ruvishika SJayawardena Wei Dong Er‑Fu Yang Sanjay KSingh Shiv Mohan Singh Shiwali Rana Sneha SLad Garima Anand Bandarupalli Devadatha MNiranjan VVenkateswara Sarma Kare Liimatainen 馻‑ Tuula Niskanen Andy Overall Renato Lúcio Mendes Alvarenga Tatiana Baptista Gibertoni Walter PPfliegler EnikőHorváth Alexandra Imre Amanda Lucia Alves Ana Carla da Silva Santos Patricia Vieira Tiago Timur SBulgakov Dhanushaka NWanasinghe Ali HBahkali Mingkwan Doilom Abdallah MElgorban Sajeewa SNMaharachchikumbura Kunhiraman CRajeshkumar Danny Haelewaters Peter EMortimer Qi Zhao Saisamorn Lumyong Jianchu Xu Jun Sheng Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of SciencesKunming 650201YunnanChina State Key Laboratory for Conservation and Utilization of Bio‑Resources in Yunnan Yunnan Agricultural UniversityKunming 650201China Yunnan Research Institute for Local Plateau Agriculture and Industry Kunming 650201China Key Laboratory for Agro‑biodiversity and Pest Control of Ministry of Education Yunnan Agricultural UniversityKunming 650201China Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand East and Central Asia Regional Office World Agroforestry Centre(ICRAF)Kunming 650201YunnanChina Centre for Mountain Futures(CMF) Kunming Institute of BotanyKunming 650201YunnanChina Mushroom Research Foundation 128 M.3 Ban Pa Deng T.Pa PaeA.Mae TaengChiang Mai 50150Thailand Department of Health Sciences Faculty of ScienceUniversity of MauritiusReduitMauritius No.128/1‑J Azad Co‑Op Housing SocietyCurcaGoa Velha 403108India Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box 2455Riyadh 11451Kingdom of Saudi Arabia School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Faculty of Agriculture National Resources and EnvironmentNaresuan UniversityPhitsanulok 65000Thailand Beijing Key Laboratory of Environment Friendly Management on Fruit Diseases and Pests in North China Institute of Plant and Environment ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Department of Soil Ecology UFZ-Helmholtz Centre for Environmental ResearchHalleGermany Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Shenzhen Key Laboratory of Microbial Genetic Engineering College of Life Sciences and OceanographyShenzhen UniversityShenzhen 518060China Department of Plant M

Fungal diversity notes is one of the important journal series of fungal taxonomy that provide detailed descriptions and illustrations of new fungal taxa,as well as providing new information of fungal taxa *** article is the 11th contribution to the fungal diversity notes series,in which 126 taxa distributed in two phyla,six classes,24 orders and 55 families are described and *** in this study were mainly collected from Italy by Erio Camporesi and also collected from China,India and Thailand,as well as in some other European,North American and South American *** described in the present study include two new families,12 new genera,82 new species,five new combinations and 25 new records on new hosts and new geographical distributions as well as sexual-asexual *** two new families are Eriomycetaceae(Dothideomycetes,family incertae sedis)and Fasciatisporaceae(Xylariales,Sordariomycetes).The twelve new genera comprise Bhagirathimyces(Phaeosphaeriaceae),Camporesiomyces(Tubeufiaceae),Eriocamporesia(Cryphonectriaceae),Eriomyces(Eriomycetaceae),Neomonodictys(Pleurotheciaceae),Paraloratospora(Phaeosphaeriaceae),Paramonodictys(Parabambusicolaceae),Pseudoconlarium(Diaporthomycetidae,genus incertae sedis),Pseudomurilentithecium(Lentitheciaceae),Setoapiospora(Muyocopronaceae),Srinivasanomyces(Vibrisseaceae)and Xenoanthostomella(Xylariales,genera incertae sedis).The 82 new species comprise Acremonium chiangraiense,Adustochaete nivea,Angustimassarina camporesii,Bhagirathimyces himalayensis,Brunneoclavispora camporesii,Camarosporidiella camporesii,Camporesiomyces mali,Camposporium appendiculatum,Camposporium multiseptatum,Camposporium septatum,Canalisporium aquaticium,Clonostachys eriocamporesiana,Clonostachys eriocamporesii,Colletotrichum hederiicola,Coniochaeta vineae,Conioscypha verrucosa,Cortinarius ainsworthii,Cortinarius aurae,Cortinarius britannicus,Cortinarius heatherae,Cortinarius scoticus,Cortinarius subsaniosus,Cytospora fusispor

关键词： 96 new taxa Agaricomycetes Ascomycota Basidiomycota Dothideomycetes Lecanoromycetes Leotiomycetes Pezizomycetes Phylogeny Saccharomycetes Taxonomy

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An Optical Gamma-Ray Burst Catalogue with Measured Redshift PART I: Data Release of 535 Gamma-Ray Bursts and Colour Evolution

arXiv

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arXiv 2024年

作者： Dainotti, M.G. De Simone, B. Mohideen Malik, R.F. Pasumarti, V. Levine, D. Saha, N. Gendre, B. Kido, D. Watson, A.M. Becerra, R.L. Belkin, S. Desai, S. Pedreira, A.C.C.D.E.S. Das, U. Li, L. Oates, S.R. Cenko, S.B. Pozanenko, A. Volnova, A. Hu, Y.-D. Castro-Tirado, A.J. Orange, N.B. Moriya, T.J. Fraija, N. Niino, Y. Rinaldi, E. Butler, N.R. González, J.D.J.G. Kutyrev, A.S. Lee, W.H. Prochaska, X. Ramirez-Ruiz, E. Richer, M. Siegel, M.H. Misra, K. Rossi, A. Lopresti, C. Quadri, U. Strabla, L. Ruocco, N. Leonini, S. Conti, M. Rosi, P. Ramirez, L.M.T. Zola, S. Jindal, I. Kumar, R. Chan, L. Fuentes, M. Lambiase, G. Kalinowski, K.K. Jamal, W. Division of Science National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Shonankokusaimura Hayama Miura District Kanagawa240-0115 Japan Space Science Institute 4765 Walnut St Ste B BoulderCO80301 United States Nevada Center for Astrophysics University of Nevada 4505 Maryland Parkway Las VegasNV89154 United States Bay Environmental Institute P.O. Box 25 Moffett FieldCA United States Fisciano132 I-84084 Italy INFN Sezione di Napoli Gruppo Collegato di Salerno Italy Department of Physics University of Rome "Tor Vergata" Italy Department of Astronomy University of Belgrade Serbia Department of Physics Indian Institute of Technology Hyderabad Telangana Kandi502284 India Department of Astronomy California Institute of Technology PasadenaCA91125 United States Department of Physical Science Indian Institute of Science Education and Research Kolkata Mohanpur741246 India Mönchhofstr. 12-14 Heidelberg69120 Germany 35 Stirling Highway Perth6009 Australia Department of Physics Faculty of Science The University of Tokyo Japan Instituto de Astronomia Universidad Nacional Autónoma de México Circuito Exterior C.U. A. Postal 70-264 CDMX04510 Mexico Instituto de Ciencias Nucleares Universidad Nacional Autónoma de México Apartado Postal 70-264 CDMX04510 Mexico 84/32 Profsoyuznaya Street Moscow117997 Russia National Research University "Higher School of Economics" Myasnitskaya ul. 20 Moscow101000 Russia School of Physics and Astronomy Monash University ClaytonVIC3800 Australia School of Physical Sciences National Institute of Science Education and Research Bhubaneswar India ICRA Net Piazza della Repubblica 10 PescaraI-65122 Italy Physics Department Lancaster University Bailrigg LancasterLA1 4YB United Kingdom Astrophysics Science Division NASA Goddard Space Flight Center MC 661 GreenbeltMD20771 United States Joint Space-Science Institute University of Maryland College ParkMD20742 United Stat

We present the largest optical photometry compilation of Gamma-Ray Bursts (GRBs) with redshifts (z). We include 64813 observations of 535 events (including upper limits) from 28 February 1997 to 18 August 2023. We also present a user-friendly web tool grbLC which allows users to visualise photometry, coordinates, redshift, host galaxy extinction, and spectral indices for each event in our database. Furthermore, we have added a Gamma-ray Coordinate Network (GCN) scraper that can be used to collect data by gathering magnitudes from the GCNs. The web tool also includes a package for uniformly investigating colour evolution. We compute the optical spectral indices for 138 GRBs, for which we have at least 4 filters at the same epoch in our sample, and craft a procedure to distinguish between GRBs with and without colour evolution. By providing a uniform format and repository for the optical catalogue, this web-based archive is the first step towards unifying several community efforts to gather the photometric information for all GRBs with known redshifts. This catalogue will enable population studies by providing light curves (LCs) with better coverage since we have gathered data from different ground-based locations. Consequently, these LCs can be used to train future LC reconstructions for an extended inference of the redshift. The data gathering also allows us to fill some of the orbital gaps from Swift in crucial points of the LCs, e.g., at the end of the plateau emission or where a jet break is identified. Copyright © 2024, The Authors. All rights reserved.

关键词： Population statistics

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Fungal diversity notes 1512–1610: taxonomic and phylogenetic contributions on genera and species of fungal taxa

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Fungal Diversity 2022年第6期117卷 1-272页

作者： Ruvishika S.Jayawardena Kevin D.Hyde Song Wang Ya‑Ru Sun Nakarin Suwannarach Phongeun Sysouphanthong Mohamed A.Abdel‑Wahab Faten A.Abdel‑Aziz Pranami D.Abeywickrama Vanessa P.Abreu Alireza Armand AndréAptroot Dan‑Feng Bao Dominik Begerow Jean‑Michel Bellanger Jadson D.P.Bezerra Digvijayini Bundhun Mark S.Calabon Ting Cao Taimy Cantillo João LVRCarvalho Napalai Chaiwan Che‑Chih Chen Régis Courtecuisse Bao‑Kai Cui Ulrike Damm Cvetomir M.Denchev Teodor T.Denchev Chun Y.Deng Bandarupalli Devadatha Nimali Ide Silva Lidiane Ados Santos Nawal K.Dubey Sylvain Dumez Himashi SFerdinandez André L.Firmino Yusufon Gaforov Achala J.Gajanayake Deecksha Gomdola Sugantha Gunaseelan Shucheng‑He Zin H.Htet Malarvizhi Kaliyaperumal Martin Kemler Kezhocuyi Kezo Nuwan DKularathnage Marco Leonardi Ji‑Peng Li Chunfang Liao Shun Liu Michael Loizides Thatsanee Luangharn Jian Ma Hugo Madrid S.Mahadevakumar Sajeewa S.N.Maharachchikumbura Dimuthu S.Manamgoda María P.Martín Niranjan Mekala Pierre‑Arthur Moreau Yan‑Hong Mu Pasouvang Pahoua Dhandevi Pem Olinto L.Pereira Wiphawanee Phonrob Chayanard Phukhamsakda Mubashar Raza Guang‑Cong Ren Andrea C.Rinaldi Walter Rossi Binu C.Samarakoon Milan CSamarakoon Vemuri V.Sarma Indunil C.Senanayake Archana Singh Maria F.Souza Cristina M.Souza‑Motta Adriano A.Spielmann Wenxin Su Xia Tang XingGuo Tian Kasun M.Thambugala Naritsada Thongklang Danushka S.Tennakoon Nopparat Wannathes DingPeng Wei Stéphane Welti Subodini N.Wijesinghe Hongde Yang Yunhui Yang Hai‑Sheng Yuan Huang Zhang Jingyi Zhang Abhaya Balasuriya Chitrabhanu SBhunjun Timur S.Bulgakov Lei Cai Erio Camporesi Putarak Chomnunti Y.S.Deepika Mingkwan Doilom Wei‑Jun Duan Shi‑Ling Han Naruemon Huanraluek EBGareth Jones NLakshmidevi Yu Li Saisamorn Lumyong Zong‑Long Luo Surapong Khuna Jaturong Kumla Ishara S.Manawasinghe Ausana Mapook Wilawan Punyaboon Saowaluck Tibpromma Yong‑Zhong Lu JiYe Yan Yong Wang Center of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailand School of Science Mae Fah Luang UniversityChiang Rai 57100Thailand Innovative Institute for Plant Health Zhongkai University of Agriculture and EngineeringGuangzhou 510225P.R.China Department of Plant Pathology College of AgricultureGuizhou UniversityGuiyang 550025GuizhouChina Research Center of Microbial Diversity and Sustainable Utilization Chiang Mai UniversityChiang Mai 50200Thailand Department of Biology Faculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Biotechnology and Ecology Institute Ministry of Agriculture and ForestryP.O.Box:811Vientiane CapitalLao PDR Department of Botany and Microbiology Faculty of ScienceSohag UniversitySohag 82524Egypt Beijing Key Laboratory of Environment-Friendly Management on Fruit Diseases and Pests in North China Institute of Plant ProtectionBeijing Academy of Agriculture and Forestry SciencesBeijing 100097China Departamento de Fitopatologia Universidade Federal de ViçosaViçosaMinas GeraisBrazil Laboratório de Botânica/Liquenologia Instituto de BiociênciasUniversidade Federal de Mato Grosso do SulAvenida Costa e Silva S/NBairro UniversitárioCampo GrandeMato Grosso do Sul CEP 79070-900Brazil College of Agriculture and Biological Sciences Dali UniversityDali 671003YunnanChina Department of Entomology and Plant Pathology Faculty of AgricultureChiang Mai UniversityChiang Mai 50200Thailand Institute of Plant Science and Microbiology Universität HamburgOrganismic Botany and MycologyOhnhorststr.1822609 HamburgGermany CEFE CNRSUniv.MontpellierEPHEIRDINSERM1919Route de Mende34293 Montpellier Cedex 5France Setor de Micologia Departamento de Biociências e TecnologiaInstituto de Patologia Tropical e Saúde PúblicaUniversidade Federal de GoiásRua 235S/NSetor UniversitárioGoiâniaGO CEP:74605-050Brazil Division of Biological Sciences College of Arts and SciencesUniversity of the Philippines Visayas5023 MiagaoIloiloPhilippines CA

This article is the 14th in the Fungal Diversity Notes series,wherein we report 98 taxa distributed in two phyla,seven classes,26 orders and 50 families which are described and *** in this study were collected from Australia,Brazil,Burkina Faso,Chile,China,Cyprus,Egypt,France,French Guiana,India,Indonesia,Italy,Laos,Mexico,Russia,Sri Lanka,Thailand,and *** are 59 new taxa,39 new hosts and new geographical distributions with one new *** 59 new species comprise Angustimassarina kunmingense,Asterina lopi,Asterina brigadeirensis,Bartalinia bidenticola,Bartalinia caryotae,Buellia pruinocalcarea,Coltricia insularis,Colletotrichum fexuosum,Colletotrichum thasutense,Coniochaeta caraganae,Coniothyrium yuccicola,Dematipyriforma aquatic,Dematipyriforma globispora,Dematipyriforma nilotica,Distoseptispora bambusicola,Fulvifomes jawadhuvensis,Fulvifomes malaiyanurensis,Fulvifomes thiruvannamalaiensis,Fusarium purpurea,Gerronema atrovirens,Gerronema favum,Gerronema keralense,Gerronema kuruvense,Grammothele taiwanensis,Hongkongmyces changchunensis,Hypoxylon inaequale,Kirschsteiniothelia acutisporum,Kirschsteiniothelia crustaceum,Kirschsteiniothelia extensum,Kirschsteiniothelia septemseptatum,Kirschsteiniothelia spatiosum,Lecanora immersocalcarea,Lepiota subthailandica,Lindgomyces guizhouensis,Marthe asmius pallidoaurantiacus,Marasmius tangerinus,Neovaginatispora mangiferae,Pararamichloridium aquisubtropicum,Pestalotiopsis piraubensis,Phacidium chinaum,Phaeoisaria goiasensis,Phaeoseptum thailandicum,Pleurothecium aquisubtropicum,Pseudocercospora vernoniae,Pyrenophora verruculosa,Rhachomyces cruralis,Rhachomyces hyperommae,Rhachomyces magrinii,Rhachomyces platyprosophi,Rhizomarasmius cunninghamietorum,Skeletocutis cangshanensis,Skeletocutis subchrysella,Sporisorium anadelphiae-leptocomae,Tetraploa dashaoensis,Tomentella exiguelata,Tomentella fuscoaraneosa,Tricholomopsis lechatii,Vaginatispora favispora and Wetmoreana *** new combin

关键词： 59 New taxa 39 New records Ascomycota Basidiomycota Dothideomycetes Lecanoromycetes Leotiomycetes Sordariomycetes Ustilaginomycotina

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Development of laboratory scale model of field automatic water control system with sheetpipe technology

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IOP Conference Series: Earth and environmental science 2021年第1期871卷

作者： S K Saptomo C Arif W B Suwarno H Agustina A G Putra Wiranto K Tamura H Matsuda B I Setiawan Department of Civil and Environmental Engineering IPB University Bogor Indonesia 16680 Department of Agronomy and Horticulture IPB University Bogor Indonesia 16680 Study Program of Agricultural Engineering Science IPB University Bogor Indonesia 16680 Meteo Nusantara Instrumen Bogor Indonesia 16620 Kyouwa Kensetsu Kogyo 2370 Oaza Tsubaki Hagi City Yamaguchi Prefecture Japan 758-0061 Yamaguchi University 16-1 Tokiwadai 2-chome Ube-shi Yamaguchi Japan 755-8611.

In this study, a 2mx2mx0.5m box is modeled, filled with soil having a thickness of 40 cm rice fields and sheet pipe subsurface drainage installed 30 cm below the surface. The sheet pipe is connected to the air duct and reservoir upstream and the drainage outlet pipe downstream. Automation of the water level control in the reservoir is done utilizing a digital controller which has been programmed and connected to a water level sensor and a solenoid valve. If the water level is detected falls below the minimum threshold, the controller will open the solenoid valve and flow water to the reservoir until the specified level. This system is connected to the server via wireless internet, data monitoring and control settings can be done by the user via a dashboard in an internet browser. The test was carried out for approximately 3 months with rice planting and un-inundated irrigation. The test results show that the system has been able to function in remote monitoring and regulation of the controller, automatic irrigation operations, and water supply in the land as needed in the rice planting experiment with the control error of 2.6 cm.

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Rheological property of the high solid coating color (II) - Evaluation of the interaction mechanism using rheometer

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Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry 2018年第5期50卷 132-140页

作者： Jeong, Kyoung-Mo Kim, Sun-Goo Won, Jong-Myoung Lee, Yong-Kyu Institute of Forest Science Kangwon National University Kangwondaehakgil-1 Chuncheon34231 Korea Republic of Program of Paper Science and Engineering Division of Forest Material Sciences and Engineering College of Forest and Environmental Sciences Kangwon National University Kangwondaehakgil-1 Chuncheon34231 Korea Republic of

Basic studies were conducted to understand the rheological properties of the coating colors and effectively utilize the information obtained from the rheometric test. For this purpose, the understanding and interpreting method for the interaction mechanism between the coating components were examined using the analyzing method of the viscosity and viscoelastic property of the coating colors. The coating solution exhibited shear thinning behavior as shear rate increased. The slope of the elastic curve (viscoelastic characteristic) of the coating color in the low frequency region (10-1-10°(rad/s)) was considered to be correlated with the strength of the interaction of the coating components. Although it was believed that the rheological properties of coating color independently influenced by the individual factors such as the binder type and the pigment packing structure (pigment mixture composition), the interaction of two or more factors may also have a complicated effect on the rheology of the coating color. © 2018 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved.

关键词： Rheology

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Rheological property of the high solid coating color (I) - Interaction between vae emulsion binder and other ingredients

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Palpu Chongi Gisul/Journal of Korea Technical Association of the Pulp and Paper Industry 2018年第5期50卷 123-131页

作者： Kim, Sun-Goo Yang, Seung-Yeop Jeong, Kyoung-Mo Won, Jong-Myoung Lee, Yong-Kyu Program of Paper Science and Engineering Division of Forest Material Sciences and Engineering College of Forest and Environmental Sciences Kangwon National University Kangwondaehakgil-1 Chuncheon34231 Korea Republic of Institute of Forest Science Kangwon National University Kangwondaehakgil-1 Chuncheon34231 Korea Republic of

The effects of rheological properties of high solid coating colors on coated paper properties were investigated. For this purpose, a coating composition containing a pigment, a binder and a rheology modifier was selected. In order to analyze the interaction mechanism between the components of the coating colors, the rheological properties of the coating colors were measured and the results were analyzed. The correlation between the runnability at the high shear stage and the properties of the coated paper were evaluated. It was founded that the analysis of the rheological properties of a coating color using a rheometer was considered to be a very meaningful method for understanding the interaction mechanism of constituents such as VAE emulsion binder and rheology modifier and for analyzing the difference in flow characteristics (viscosity, viscoelastic properties). Interaction of the constituents of the coating color composed of the pigment, VAE emulsion binder and rheology modifier showed a close correlation with the thixotropy of the coating liquid (leveling index, etc.). When using the coating colors with VAE-3 emulsion binder having a good leveling index, the surface smoothness of the coated paper showed the best results. © 2018 Korean Technical Assoc. of the Pulp and Paper Industry. All rights reserved.

关键词： Viscosity

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Multiwavelength study of GRB 201216C using the sub-TeV emission detected by MAGIC 38

Multiwavelength study of GRB 201216C using the sub-TeV emiss...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Fukami, Satoshi Berti, Alessio Loporchio, Serena Nava, Lara Suda, Yusuke Noda, Koji Asano, Katsuaki Bošnjak, Željka Longo, Francesco Jordana-Mitjans, Nuria Melandri, Andrea Mundell, Carole Shrestha, Manisha Steele, Iain Abe, H. Abe, S. Abhir, J. Acciari, V.A. Agudo, I. Aniello, T. Ansoldi, S. Antonelli, L.A. Arbet Engels, A. Arcaro, C. Artero, M. Asano, K. Baack, D. Babić, A. Baquero, A. Barres de Almeida, U. Barrio, J.A. Batković, I. Baxter, J. Becerra González, J. Bednarek, W. Bernardini, E. Bernardos, M. Bernete, J. Berti, A. Besenrieder, J. Bigongiari, C. Biland, A. Blanch, O. Bonnoli, G. Bošnjak, Ž. Burelli, I. Busetto, G. Campoy-Ordaz, A. Carosi, A. Carosi, R. Carretero-Castrillo, M. Castro-Tirado, A.J. Ceribella, G. Chai, Y. Chilingarian, A. Cifuentes, A. Cikota, S. Colombo, E. Contreras, J.L. Cortina, J. Covino, S. D’Amico, G. D’Elia, V. Da Vela, P. Dazzi, F. De Angelis, A. De Lotto, B. Del Popolo, A. Delfino, M. Delgado, J. Delgado Mendez, C. Depaoli, D. Di Pierro, F. Di Venere, L. Dominis Prester, D. Donini, A. Dorner, D. Doro, M. Elsaesser, D. Emery, G. Escudero, J. Fariña, L. Fattorini, A. Foffano, L. Font, L. Fröse, S. Fukami, S. Fukazawa, Y. García López, R.J. Garczarczyk, M. Gasparyan, S. Gaug, M. Giesbrecht Paiva, J.G. Giglietto, N. Giordano, F. Gliwny, P. Godinović, N. Grau, R. Green, D. Green, J.G. Hadasch, D. Hahn, A. Hassan, T. Heckmann, L. Herrera, J. Hrupec, D. Hütten, M. Imazawa, R. Inada, T. Iotov, R. Ishio, K. Jiménez Martínez, I. Jormanainen, J. Kerszberg, D. Kluge, G.W. Kobayashi, Y. Kouch, P.M. Kubo, H. Kushida, J. Láinez Lezáun, M. Lamastra, A. Lelas, D. Leone, F. Lindfors, E. Linhoff, L. Lombardi, S. Longo, F. López-Coto, R. López-Moya, M. López-Oramas, A. Loporchio, S. Lorini, A. Lyard, E. Machado de Oliveira Fraga, B. Majumdar, P. Makariev, M. Maneva, G. Mang, N. Manganaro, M. Mangano, S. Mannheim, K. Mariotti, M. Martínez, M. Martínez-Chicharro, M. Mas-Aguilar, A. Mazin, D. Menchiari, S. Mender, S. Institute for Particle Physics and Astrophysics ETH Zürich Otto-Stern-Weg 5 Zürich8093 Switzerland Institute for Cosmic Ray Research The University of Tokyo Kashiwanoha 5-1-5 Kashiwa Japan Max Planck Institut for Physics Föhringer Ring 6 Munich Germany INFN MAGIC Group INFN Sezione di Bari Dipartimento Interateneo di Fisica Università e del Politecnico di Bari BariI-70125 Italy RomeI-00136 Italy Physics Program Graduate School of Advanced Science and Engineering Hiroshima University Hiroshima739-8526 Japan Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia INFN Sezione di Trieste via Valerio 2 Trieste Italy Department of Physics University of Bath Claverton Down BathBA2 7AY United Kingdom INAF-Osservatorio Astronomico di Brera Via E. Bianchi 46 LC MerateI-23807 Italy European Space Agency European Space Astronomy Centre Villanueva de la Canñada Madrid28692 Spain Astrophysics Research Institute Liverpool John Moores University Liverpool Science Park IC2 146 Brownlow HillL3 5RF United Kingdom Steward Observatory University of Arizona 933 North Cherry Avenue TucsonAZ85721-0065 United States The University of Tokyo Chiba Kashiwa277-8582 Japan ETH Zürich ZürichCH-8093 Switzerland Instituto de Astrofísica de Canarias Dpto. de Astrofísica Universidad de La Laguna Tenerife La LagunaE-38200 Spain Instituto de Astrofísica de Andalucía-CSIC Glorieta de la Astronomía s/n Granada18008 Spain Università di Udine INFN Trieste UdineI-33100 Italy Max-Planck-Institut für Physik MünchenD-80805 Germany Università di Padova INFN PadovaI-35131 Italy Bellaterra BarcelonaE-08193 Spain Technische Universität Dortmund DortmundD-44221 Germany Zagreb10000 Croatia IPARCOS Institute EMFTEL Department Universidad Complutense de Madrid MadridE-28040 Spain URCA RJ Rio de Janeiro22290-180 Brazil University of Lodz Faculty of Physics and Applied Informatics Department of Astrophysics Lodz90-236 Pola

Recently, several gamma-ray bursts (GRBs) have been detected in the very-high-energy (VHE) gamma-ray energy range by ground-based gamma-ray experiments such as MAGIC, H.E.S.S., and LHASSO. For some GRBs, the VHE emission is consistent with synchrotron self-Compton (SSC) emission from high-energy electrons accelerated in the forward shock of the relativistic jet. However, more statistics are needed to further constrain the emission models. GRB 201216C is a long bright GRB detected in a broad energy range from radio to VHE. The redshift is estimated to be 1.1, making the GRB the most distant source detected in the VHE energy range. MAGIC started the observation 56 seconds after the GRB was triggered by the Swift-BAT telescope. We performed a detailed analysis and detected the signal with about 6 sigma in the first 20 minutes. MAGIC continued the observation for 2.2 hours on the same night and 4 hours on the next night. No signal was detected later than 40 minutes after the GRB trigger. We have performed modelling of the multi-wavelength emission using the MAGIC data. We analysed simultaneous optical data from Liverpool Telescope with MAGIC and included the results in the modelling. The sub-TeV emission is consistent with the single-zone SSC model in the forward shock. In this presentation, we show the final results of the MAGIC data analysis of GRB 201216C and discuss the emission mechanism of the multi-wavelength data. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Gamma rays

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Assessing the Potential of GPT-4 to Annotate Medical Notes Across Different Languages and Countries: A Model Evaluation Study

SSRN

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SSRN 2024年

作者： Saad Menezes, Maria Clara Hoffman, Alexander F. Tan, Amelia L.M. Nalbandyan, Mariné Omenn, Gilbert S. Mazzotti, Diego R. Hernández-Arango, Alejandro Visweswaran, Shyam Venkatesh, Shruthi Mandl, Kenneth D. Bourgeois, Florence T. Lee, James W.K. Makmur, Andrew Hanauer, David A. Semanik, Michael G. Kerivan, Lauren T. Hill, Terra Forero, Julian Restrepo Castro, Carlos Andrés C.R. Vigna, Matteo Ceriana, Piero Abu-El-rub, Noor Avillach, Paul Bellazzi, Riccardo Callaci, Thomas Gutiérrez-Sacristán, Alba Malovini, Alberto Mathew, Jomol P. Morris, Michele Murthy, Venkatesh Parimbelli, Enea Patel, Lav P. Sáez, Carlos Samayamuthu, Malarkodi Jebathilagam Thompson, Jeffrey A. Tibollo, Valentina Xia, Zongqi Kohane, Isaac S. Harvard Medical School Department of Biomedical Informatics 10 Shattuck Street BostonMA02115 United States School of Medicine and Public Health University of Wisconsin-Madison Office of Informatics and Information Technology 750 Highland Ave MadisonWI53705 United States University of Michigan Department of Computational Medicine & Bioinformatics Internal Medicine Human Genetics Environmental Health 100 Washtenaw Avenue Ann ArborMI48109 United States University of Kansas Medical Center Division of Medical Informatics Division of Pulmonary Critical Care and Sleep Medicine Department of Internal Medicine 3901 Rainbow Blvd Kansas CityKS66160 United States University of Antioquia Hospital Alma Máter de Antioquia Department of Internal Medicine Calle 64 N°51 D - 154 Medellín Colombia University of Pittsburgh Department of Biomedical Informatics 5607 Baum Blvd PittsburghPA15206 United States University of Pittsburgh Department of Neurology 3501 5th Avenue PittsburghPA15206 United States Boston Children's Hospital Computational Health Informatics Program 300 Longwood Avenue BostonMA02115 United States Boston Children's Hospital Department of Pediatrics 300 Longwood Avenue BostonMA02115 United States National University Health System Department of Surgery 1E Kent Ridge Rd Singapore119228 Singapore National University Health System Department of Diagnostic Imaging 1E Kent Ridge Rd Singapore119228 Singapore University of Michigan Department of Learning Health Sciences NCRC 100 2800 Plymouth Road Ann ArborMI48109 United States University of Kansas Medical Center Department of Surgery 3901 Rainbow Blvd Kansas CityKS66160 United States Istituti Clinici Scientifici Maugeri IRCCS Respiratory rehabilitation unit Via Maugeri 10 Pavia27100 Italy University of Kansas Medical Center 3901 Rainbow Blvd Kansas CityKS66160 United States University of Pavia Department of Electrical Computer and Biomedical Engineering via Ferrata 5 Pavia2710

Background: Physicians invest hours creating patient notes, which are rich in information but difficult for computers to analyze due to their unstructured format. GPT-4 reshaped our ability to process text, yet it is unknown how well this model can handle medical notes. This project aims to compare GPT-4’s ability to annotate medical notes against experienced physicians across three different languages at multiple institutions and countries. Methods: This study included eight sites from four countries - the United States, Colombia, Singapore, and Italy. Each site contributed seven de-identified notes (admission, progress, or consult) from hospitalized patients. GPT-4 assessed each note by answering 14 questions, including demographic information, clinical judgments, data quality, and patients’ eligibility for a hypothetical study enrollment. For validation, two physicians from each site independently evaluated GPT-4's responses. Findings: Overall, 56 medical notes, written in English, Italian, and Spanish, were analyzed. A total of 784 responses from GPT-4 were generated. Both physicians agreed with GPT-4’s response 79% of the time (622/784, 95%CI 76-82%). Only one of the two physicians agreed with GPT-4’s response 10% of the time (82/784, 95%CI 8-13%). Neither physician agreed with GPT-4’s response 10% of the time (80/784, 95%CI 8-13%). Both physicians agreed with GPT-4 more often in notes written in Spanish and Italian than in English, with agreement rates of 88% (86/98, 95%CI 79-93%), 84% (82/98, 95%CI 75-90%), and 77% (454/588, 95%CI 74-80%), respectively. Hallucinations were rare (10/784, 95%CI 0-2%). GPT-4 correctly selected patients for a hypothetical study enrollment based on three criteria 90% of the time (95%CI 81-98%). Interpretation: The findings indicate that GPT-4 annotations demonstrated a high agreement rate with physicians across all languages. We also demonstrate GPT-4's potential to assist in patient selection for studies. Funding: None. Declarati

关键词： Medical computing

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