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Ten new insights in climate science 2024

One Earth 2025年

作者： Schaeffer, Roberto Schipper, E. Lisa F. Ospina, Daniel Mirazo, Paula Alencar, Ane Anvari, Mehrnaz Artaxo, Paulo Biresselioglu, Mehmet Efe Blome, Tanja Boeckmann, Melanie Brink, Ebba Broadgate, Wendy Bustamante, Mercedes Cai, Wenju Canadell, Josep G. Cardinale, Roberto Chidichimo, Maria Paz Ditlevsen, Peter Eicker, Ursula Feron, Sarah Fikru, Mahelet G. Fuss, Sabine Gaye, Amadou T. Gustafsson, Örjan Harring, Niklas He, Cheng Hebden, Sophie Heilemann, Adrian Hirota, Marina Janardhanan, Nandakumar Juhola, Sirkku Jung, Tae Yong Kejun, Jiang Kilkiș, Şiir Kumarasinghe, Nilushi Lapola, David Lee, June-Yi Levis, Carolina Lusambili, Adelaide Maasakkers, Joannes D. MacIntosh, Claire Mahmood, Jemilah Mankin, Justin S. Marchegiani, Pía Martin, Maria Mukherji, Aditi Muñoz-Erickson, Tischa A. Niazi, Zeenat Nyangon, Joseph Pandipati, Santosh Perera, Amarasinghage T.D. Persad, Geeta Persson, Åsa Redman, Aaron Riipinen, Ilona Rockström, Johan Roffe, Sarah Roy, Joyashree Sakschewski, Boris Samset, Bjørn H. Schlosser, Peter Sharifi, Ayyoob Shih, Wan-Yu Sioen, Giles B. Sokona, Youba Stammer, Detlef Suk, Sunhee Thiam, Djiby Thompson, Vikki Tullos, Erin van Westen, René M. Vargas Falla, Ana Maria Vecellio, Daniel J. Worden, John Wu, Henry C. Xu, Chi Yang, Yang Zachariah, Mariam Zhang, Zhen Ziervogel, Gina Federal University of Rio de Janeiro Rio de Janeiro Brazil University of Bonn Bonn Germany Future Earth Secretariat Stockholm Sweden Arizona State University Tempe AZ United States Amazon Environmental Research Institute (IPAM) Brasilia Brazil Fraunhofer Institute for Algorithms and Scientific Computing SCAI St. Augustin Germany Potsdam Institute for Climate Impact Research (PIK) Potsdam Germany University of São Paulo São Paulo Brazil İzmir University of Economics İzmir Turkey Climate Service Center Germany (GERICS) Helmholtz-Zentrum Hereon Hamburg Germany University of Bremen Bremen Germany Lund University Lund Sweden University of Brasilia Brasilia Brazil Ocean University of China Qingdao China Xiamen University Xiamen China Commonwealth Scientific and Industrial Research Organisation (CSIRO) Environment Canberra ACT Australia University College London London United Kingdom National Scientific and Technical Research Council (CONICET) Buenos Aires Argentina National University of San Martin Buenos Aires Argentina University of Copenhagen Copenhagen Denmark Concordia University Montreal QC Canada University of Groningen Groningen Netherlands Missouri University of Science and Technology Rolla MO United States Mercator Research Institute on Global Commons and Climate Change (MCC) Berlin Germany Humboldt-University of Berlin Berlin Germany Cheikh Anta Diop University Dakar Senegal Stockholm University Stockholm Sweden University of Gothenburg Gothenburg Sweden Institute of Epidemiology Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH) Neuherberg Germany European Space Agency (ESA) - European Centre for Space Applications and Telecommunications (ECSAT) Oxford United Kingdom Federal University of Santa Catarina Florianopolis Brazil Institute for Global Environmental Strategies (IGES) Hayama Japan University of Helsinki Helsinki Finland Yonsei University Graduate Seoul South Korea Chinese Academy of Macroeconomic

The years 2023 and 2024 were characterized by unprecedented warming across the globe, underscoring the urgency of climate action. Robust science advice for decision makers on subjects as complex as climate change requires deep cross- and interdisciplinary understanding. However, navigating the ever-expanding and diverse peer-reviewed literature on climate change is enormously challenging for individual researchers. We elicited expert input through an online questionnaire (188 respondents from 45 countries) and prioritized 10 key advances in climate-change research with high policy relevance. The insights span a wide range of areas, from changes in methane and aerosol emissions to the factors shaping citizens’ acceptance of climate policies. This synthesis and communications effort forms the basis for a science-policy report distributed to party delegations ahead of the 29th session of the Conference of the Parties (COP29) to inform their positions and arguments on critical issues, including heat-adaptation planning, comprehensive mitigation strategies, and strengthened governance in energy-transition minerals value chains. © 2025 The Authors

关键词： adaptation climate policy climate science governance just transition mitigation resilience science policy

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Analysis the Awkward Posture Ergonomic Risk and Workstation Improvement Simulation in Mechanical Assembly Manufacturing Industry using DelmiaV5

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IOP Conference Series: Materials Science and Engineering 2019年第1期705卷

作者： Ruzy Haryati Hambali Siti Aishah Abdul Rahim Noorain Azizan Zainuddin Zali Suriati Akmal Muhammad Hanafee Zin Centre of Smart System and Innovative Design Faculty of Manufacturing Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Lancaster Product Development Unit Department of Engineering Lancaster University Lancaster UK Center for Advanced Computing Technology Institut Pengurusan Teknologi dan Keusahawanan Universiti Teknikal Malaysia Melaka Hang Tuah Jaya 76100 Durian Tunggal Melaka Malaysia Aerospace Malaysia Innovation Centre (AMIC) AMIC-AAC R&T Centre No. 03-06-01 Jalan Ilmiah German-Malaysian Institute 43000 Bangi Selangor Malaysia

Ergonomics knowledge is crucial in any industries, without knowledge applied, one easily exposed towards the risks of the working environment. Based on the survey conducted showed awkward posture and heavy lifting were the most highlighted issues occurred. Aim of this study is to analyse the working posture in mechanical assembly manufacturing industry and analyse the effect of the improvement workstation. The use of Rapid Upper Limb Assessment (RULA) in order to analyse the most level of risk of workers during working, develop human manikin following the anthropometric data collected from industry real population, as well to replicate the posture of the workers, simulate the working process via simulation using DELMIA V5. Results reported one of the highest ergonomic risk occurred in this department is drilling activity. The manikin successfully developed with 105 measurements for 685 male workers. Simulations effectively simulated using DELMIA V5 in virtual environment. Step ladder suggested as virtual and this improved the value of RULA score. In conclusion, the software and method used were powerful tool in designing the virtual improvement and this research expected to create a design guideline for the industry that help workers with an ergonomic way at the workstation before and during working.

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Bilingual automatic text summarization using unsupervised deep learning

Bilingual automatic text summarization using unsupervised de...

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International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

作者： Shashi Pal Singh Ajai Kumar Abhilasha Mangal Shikha Singhal AAI Center for development of Advanced Computing Pune India Banasthali Vidyapith Banasthali Rajasthan India

ISBN: (纸本)9781467399401

In the world of digitization, the growth of big data is raising at large scale with usage of high performance computing. The huge data in English and Hindi is available on internet and social media which need to be extracted or summarized in user required form. In this paper we are presenting Bilingual (Hindi and English) unsupervised automatic text summarization using deep learning. which is an important research area with in Natural Language Processing, Machine Learning and data mining, to improve result accuracy, we are using restricted Boltzmann machine to generate a shorter version of original document without losing its important information. In this algorithm we are exploring the features to improve the relevance of sentences in the dataset.

关键词： Feature extraction Machine learning Optimization Natural languages Speech Tagging

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Complex and degraded color document image binarization

Complex and degraded color document image binarization

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International Conference on Signal Processing and Integrated Networks (SPIN)

作者： Sheshera Mysore Manish Kumar Gupta Swapnil Belhe D.Y. Patil College of Engineering Pune Center for Development of Advanced Computing Pune

ISBN: (纸本)9781467391986

We present a document binarization scheme that is intended at consistently binarizing a range of degraded color document images. The proposed solution makes use of a mean-shift algorithm based segmentation applied at different scales of the image and a contrast enhanced version of the popular Niblack's thresholding method. The solution has been evaluated using standard metrics used in a prominent binarization competition and has also been subject to an end-to-end evaluation by use in an OCR system. The proposed solution was found to perform at par or better than existing state of the art binarization solutions and was found to always be more consistent in performance than the state of the art.

关键词： Image color analysis Image segmentation Color Gray-scale Optical character recognition software Character recognition Clustering algorithms

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Multilingual speech to speech MT based chat system

Multilingual speech to speech MT based chat system

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International Conference on computing and Network Communications, CoCoNet 2015

作者： Gopi, Arun Shobana Devi, P. Sajini, T. Stephen, Jose Bhadhran, V.K. Center for Development of Advanced Computing Trivandrum India

ISBN: (纸本)9781467373098

This paper presents a chat application that make use of speech as interaction mode between users in their mother tongue. This system is based on Machine Translation (MT) which automatically translates a sentence from one language to other. Now-a-days, Chat has become increasingly important as an effective means to communicate in social networks. But in existing personal chat systems, chat services are text-based only. To circumvent this issue, innovative, practical XMPP-based chat system architecture is proposed in this paper that creates a Speech based chat services by integrating state-of-the-art technologies like Automatic Speech Recognition (ASR), Text to Speech (TTS) and Machine Translation (MT). The proposed system eliminates the need to have a common language for chat communication. In this chat system the user speak in their own language after selecting the language of their comfort. The audio will be recognized in real time. The text is translated to the language opted by end user and the system synthesizes it. Here, we discuss an interface prototype that can overcome the language barrier to some extent. © 2015 IEEE.

关键词： Machine translation

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Multilingual Online Handwriting Recognition System: An Android App 5

Multilingual Online Handwriting Recognition System: An Andro...

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5th International Conference on Advances in computing and Communications, ICACC 2015

作者： Indhu, T.R. Vidya, V. Bhadran, V.K. Center for Development of Advanced Computing Thiruvananthapuram India

ISBN: (纸本)9781467369947

On-line handwriting recognition means recognizing the user's handwriting as the user is writing the character/stroke, i.e. the recognition is concurrent to the writing process. This paper describes a Multilingual Online handwriting recognition system in Android using SFAM Artificial Neural Network Technique. The app allows the user to select any of the target languages supported. The handwriting sequences are collected by the digitization of the pen/stylus movements as an array of x, y coordinates which is called a stroke. The structural and directional information are extracted from each character/stroke. The extracted features as a feature vector are passed as input to a SFAM artificial neural network (ANN) classifier. The SFAM classifier then performs a comparison of the input data with the trained data and finds the nearest prototype from the database that 'resonates' with the input pattern. The labels/recognized characters are assigned their corresponding Unicode code points and displayed using appropriate fonts. © 2015 IEEE.

关键词： Classification (of information)

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Short-Term Power Market Services on Cloud

Short-Term Power Market Services on Cloud

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IEEE Region 10 Conference

作者： K. Jagan Mohan M. Siddharth Rao R.K. Senthil Kumar G.L. Ganga Prasad Center for Development of Advanced Computing C-DAC Knowledge Park No 1 Old Madras Road Byappanahalli Bangalore INDIA

ISBN: (纸本)9781509025985

Short-Term power market cover contracts of less than a year period by bilateral transactions through Trading Licensees or directly by the Distribution Companies (DISCOMS) and power exchanges. The Open Access bilateral transactions for short-term power market between the states or inter-state is handled by regional load despatch centre (RLDC) and follows Central Electricity Regulatory Commission (CERC) guidelines. According to CERC guidelines for inter-State Open Access bilateral transaction, the traders/licensees need to take concurrence from the state load dispatcher center (SLDC) which is an offline activity. The Open Access for short-term bilateral transaction within state or intra-State is handled by SLDC which is also an offline activity. Both these offline activities are time consuming and error prone and hence delay the overall process of open access bilateral transaction at both regional and state level. To make these activities online for each SLDC, a huge initial investment is required. In this paper, we present a cost-effective solution as Software as a Service (SaaS) on cloud environment for all SLDC(s). The cloud technology is used for implementation to make the solution highly scalable, easily configurable and easily manageable [1].

关键词： STOA Cloud computing RLDC SLDC Intra-State STOA

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Population of Merging Compact Binaries Inferred Using Gravitational Waves through GWTC-3

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Physical Review X 2023年第1期13卷 011048-011048页

作者： R. Abbott T. D. Abbott F. Acernese K. Ackley C. Adams N. Adhikari R. X. Adhikari V. B. Adya C. Affeldt D. Agarwal M. Agathos K. Agatsuma N. Aggarwal O. D. Aguiar L. Aiello A. Ain P. Ajith T. Akutsu P. F. de Alarcón S. Akcay S. Albanesi A. Allocca P. A. Altin A. Amato C. Anand S. Anand A. Ananyeva S. B. Anderson W. G. Anderson M. Ando T. Andrade N. Andres T. Andrić S. V. Angelova S. Ansoldi J. M. Antelis S. Antier F. Antonini S. Appert Koji Arai Koya Arai Y. Arai S. Araki A. Araya M. C. Araya J. S. Areeda M. Arène N. Aritomi N. Arnaud M. Arogeti S. M. Aronson K. G. Arun H. Asada Y. Asali G. Ashton Y. Aso M. Assiduo S. M. Aston P. Astone F. Aubin C. Austin S. Babak F. Badaracco M. K. M. Bader C. Badger S. Bae Y. Bae A. M. Baer S. Bagnasco Y. Bai L. Baiotti J. Baird R. Bajpai M. Ball G. Ballardin S. W. Ballmer A. Balsamo G. Baltus S. Banagiri D. Bankar J. C. Barayoga C. Barbieri B. C. Barish D. Barker P. Barneo F. Barone B. Barr L. Barsotti M. Barsuglia D. Barta J. Bartlett M. A. Barton I. Bartos R. Bassiri A. Basti M. Bawaj J. C. Bayley A. C. Baylor M. Bazzan B. Bécsy V. M. Bedakihale M. Bejger I. Belahcene V. Benedetto D. Beniwal T. F. Bennett J. D. Bentley M. BenYaala F. Bergamin B. K. Berger S. Bernuzzi C. P. L. Berry D. Bersanetti A. Bertolini J. Betzwieser D. Beveridge R. Bhandare U. Bhardwaj D. Bhattacharjee S. Bhaumik I. A. Bilenko G. Billingsley S. Bini R. Birney O. Birnholtz S. Biscans M. Bischi S. Biscoveanu A. Bisht B. Biswas M. Bitossi M.-A. Bizouard J. K. Blackburn C. D. Blair D. G. Blair R. M. Blair F. Bobba N. Bode M. Boer G. Bogaert M. Boldrini L. D. Bonavena F. Bondu E. Bonilla R. Bonnand P. Booker B. A. Boom R. Bork V. Boschi N. Bose S. Bose V. Bossilkov V. Boudart Y. Bouffanais A. Bozzi C. Bradaschia P. R. Brady A. Bramley A. Branch M. Branchesi J. Brandt J. E. Brau M. Breschi T. Briant J. H. Briggs A. Brillet M. Brinkmann P. Brockill A. F. Brooks J. Brooks D. D. Brown S. Brunett G. Bruno R. Bruntz J. Bryant T. Bulik H. J. Bulten A. Buonanno R. Buscicchio D. Buskulic C. Buy R. L. Byer L. Cadonati LIGO Laboratory California Institute of Technology Pasadena California 91125 USA Louisiana State University Baton Rouge Louisiana 70803 USA Dipartimento di Farmacia Università di Salerno I-84084 Fisciano Salerno Italy INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo I-80126 Napoli Italy OzGrav School of Physics & Astronomy Monash University Clayton 3800 Victoria Australia LIGO Livingston Observatory Livingston Louisiana 70754 USA University of Wisconsin-Milwaukee Milwaukee Wisconsin 53201 USA OzGrav Australian National University Canberra Australian Capital Territory 0200 Australia Max Planck Institute for Gravitational Physics (Albert Einstein Institute) D-30167 Hannover Germany Leibniz Universität Hannover D-30167 Hannover Germany Inter-University Centre for Astronomy and Astrophysics Pune 411007 India University of Cambridge Cambridge CB2 1TN United Kingdom Theoretisch-Physikalisches Institut Friedrich-Schiller-Universität Jena D-07743 Jena Germany University of Birmingham Birmingham B15 2TT United Kingdom Center for Interdisciplinary Exploration & Research in Astrophysics (CIERA) Northwestern University Evanston Illinois 60208 USA Instituto Nacional de Pesquisas Espaciais 12227-010 São José dos Campos São Paulo Brazil Gravity Exploration Institute Cardiff University Cardiff CF24 3AA United Kingdom INFN Sezione di Pisa I-56127 Pisa Italy International Centre for Theoretical Sciences Tata Institute of Fundamental Research Bengaluru 560089 India Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) Mitaka City Tokyo 181-8588 Japan Universitat de les Illes Balears IAC3–IEEC E-07122 Palma de Mallorca Spain University College Dublin Dublin 4 Ireland INFN Sezione di Torino I-10125 Torino Italy Università di Napoli “Federico II” Complesso Universitario di Monte S. Angelo I-80126 Napoli

We report on the population properties of compact binary mergers inferred from gravitational-wave observations of these systems during the first three LIGO-Virgo observing runs. The Gravitational-Wave Transient Catalog 3 (GWTC-3) contains signals consistent with three classes of binary mergers: binary black hole, binary neutron star, and neutron star–black hole mergers. We infer the binary neutron star merger rate to be between 10 and 1700 Gpc−3 yr−1 and the neutron star–black hole merger rate to be between 7.8 and 140 Gpc−3 yr−1, assuming a constant rate density in the comoving frame and taking the union of 90% credible intervals for methods used in this work. We infer the binary black hole merger rate, allowing for evolution with redshift, to be between 17.9 and 44 Gpc−3 yr−1 at a fiducial redshift (z=0.2). The rate of binary black hole mergers is observed to increase with redshift at a rate proportional to (1+z)κ with κ=2.9−1.8+1.7 for z≲1. Using both binary neutron star and neutron star–black hole binaries, we obtain a broad, relatively flat neutron star mass distribution extending from 1.2−0.2+0.1 to 2.0−0.3+0.3M⊙. We confidently determine that the merger rate as a function of mass sharply declines after the expected maximum neutron star mass, but cannot yet confirm or rule out the existence of a lower mass gap between neutron stars and black holes. We also find the binary black hole mass distribution has localized over- and underdensities relative to a power-law distribution, with peaks emerging at chirp masses of 8.3−0.5+0.3 and 27.9−1.8+1.9M⊙. While we continue to find that the mass distribution of a binary’s more massive component strongly decreases as a function of primary mass, we observe no evidence of a strongly suppressed merger rate above approximately 60M⊙, which would indicate the presence of a upper mass gap. Observed black hole spins are small, with half of spin magnitudes below χi≈0.25. While the majority of spins are preferentially aligned wi

关键词： Gravitational wave sources Gravitational waves Gravitational wave detection

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The Effect of Epoxidized Natural Rubber as A Compatibilizer on the Properties of Standard Malaysian Rubber/Ethylene Propylene Diene Monomer Blends

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Journal of Physics: Conference Series 2018年第1期1019卷

作者： A M Alakrach R Hamzah N Z Noriman Omar S Dahham Z Shayfull S Z Syed Idrus S Sudin Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Faculty of Engineering Technology (FETech) Universiti Malaysia Perlis (UniMAP) Level 1 Block S2 UniCITI Alam Campus Sungai Chucuh Padang Besar 02100 Perlis Malaysia School of Manufacturing Engineering Universiti Malaysia Perlis Arau 02600 Malaysia Green Design and Manufacture Research Group Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Universiti Malaysia Perlis Kangar 0100 Malaysia School of Human Development and Techno-communication (iKOM) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP School of Computer and Communication Engineering (SCCE) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP

In this study, the effects of epoxidized natural rubber (ENR-50) as compatibilizer on the properties of Standard Malaysian Rubber/Ethylene Propylene Diene Monomer (SMR L/EPDM) blend were investigated. Standard Malaysian Rubber/Ethylene Propylene Diene Monomer / Epoxidized Natural Rubber (SMR L/EPDM / ENR-50) blends were prepared by two-roll mill with five different compositions (i.e., 80/20/0, 80/20/1, 80/20/3, 80/20/5, 80/20/7 and 80/20/10), which the (SMR L/EPDM) content fixed at 80/20 which is the optimum ratio for (SMR L/EPDM) depending on our previous study. Cure characteristics, mechanical properties studies were performed to determine the compatibility of SMR L/EPDM blends in the presence of ENR-50 as a compatibilizer. The optimum cure characteristics showed by SMR L/EPDM blends with the presence of ENR-50, which lower scorch time t2 and cure time t90 and increase the cure rate index CRI. In addition, SMR L/EPDM blends with the presence of ENR-50 have improved the physical properties such as swelling test, crosslink density and hardness test.

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Recycled Natural Rubber Latex Gloves Filled Chloroprene Rubber: Effects of Compatibilizers

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Journal of Physics: Conference Series 2018年第1期1019卷 012067-012067页

作者： Alakrach, A M Hamzah, R Noriman, N Z Dahham, Omar S Shayfull, Z Syed Idrus, S Z Sudin, S Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Faculty of Engineering Technology (FETech) Universiti Malaysia Perlis (UniMAP) Level 1 Block S2 UniCITI Alam Campus Sungai Chucuh Padang Besar 02100 Perlis Malaysia School of Manufacturing Engineering Universiti Malaysia Perlis Arau 02600 Malaysia Green Design and Manufacture Research Group Center of Excellence Geopolymer and Green Technology (CEGeoGTech) Universiti Malaysia Perlis Kangar 0100 Malaysia School of Human Development and Techno-communication (iKOM) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP School of Computer and Communication Engineering (SCCE) Green Advanced Computing and Technology (GREAT) Research Group – CEGeoGTech Universiti Malaysia Perlis (UniMAP

In this study, the effects of the compatibilizers; trans-polyoctylene (TOR) and epoxidized natural rubber (ENR-50), on the cure characteristics and tensile properties of recycled natural rubber latex gloves (rNR-G) filled chloroprene rubber (CR) were investigated. Blends consisting of rNR-G in a weight ratio 20 phr in CR and The compatibilizers TOR and ENR-50 at different concentrations, i.e. 2, 4, 6, 8 and 10 phr, were prepared using a two roll mill. Incorporation of TOR resulted in a reducing of the cure characteristics, meanwhile ENR-50 increased them. On the other hand, both of TOR and ENR-50 were improved tensile properties. These effects are attributed to the enhanced interfacial adhesion between rNR-G and phases through the compatibilizing effect induced by TOR and ENR-50, and the good dispersion of the rNR-G phase in the CR matrix. The results confirmed that TOR and ENR-50 could potentially be used as compatibilizers for the recycled natural rubber latex gloves filled chloroprene rubber.

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