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arXiv 2023年

作者： Tai, Tsung-Ming Jhang, Yun-Jie Hwang, Wen-Jyi Free University of Bozen-Bolzano Italy NVIDIA AI Technology Center Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Taiwan Department of Computer Science and Information Engineering National Taiwan Normal University Taiwan

Supervised learning of deep neural networks heavily relies on large-scale datasets annotated by high-quality labels. In contrast, mislabeled samples can significantly degrade the generalization of models and result in memorizing samples, further learning erroneous associations of data contents to incorrect annotations. To this end, this paper proposes an efficient approach to tackle noisy labels by learning robust feature representation based on unsupervised augmentation restoration and cluster regularization. In addition, progressive self-bootstrapping is introduced to minimize the negative impact of supervision from noisy labels. Our proposed design is generic and flexible in applying to existing classification architectures with minimal overheads. Experimental results show that our proposed method can efficiently and effectively enhance model robustness under severely noisy labels. Copyright © 2023, The Authors. All rights reserved.

关键词： Image classification

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A review of biosensor for environmental monitoring: principle, application, and corresponding achievement of sustainable development goals

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Bioengineered 2023年第1期14卷 58-80页

作者： Chi-Wei Huang Chitsan Lin Minh Ky Nguyen Adnan Hussain Xuan-Thanh Bui Huu Hao Ngo Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan. Ph.D. Program in Maritime Science and Technology College of Maritime National Kaohsiung University of Science and TechnologyPh.D. Program in Maritime Science and Technology Kaohsiung Taiwan. Ph. D. Program of Aquatic Science and Technology College of Hydrosphere Science National Kaohsiung University of Science and Technology Kaohsiung Taiwan. Department Water Science & Technology Key Laboratory of Advanced Waste Treatment Technology Ho Chi Minh City University of Technology (HCMUT) Vietnam National University Ho Chi Minh (VNU-HCM) Ho Chi Minh City Vietnam. Department Water Science & Technology Faculty of Environment & Natural Resources Ho Chi Minh City University of Technology (HCMUT) Ho Chi Minh City Vietnam. Department Water Science & Technology Centre for Technology in Water and Wastewater School of Civil and Environmental Engineering Faculty of Engineering and Information Technology University of Technology Sydney Sydney NSW Australia.

Human health/socioeconomic development is closely correlated to environmental pollution, highlighting the need to monitor contaminants in the real environment with reliable devices such as biosensors. Recently, variety of biosensors gained high attention and employed as application, in real-time, and cost-effective analytical tools for healthy environment. For continuous environmental monitoring, it is necessary for portable, cost-effective, quick, and flexible biosensing devices. These benefits of the biosensor strategy are related to the Sustainable development Goals (SdGs) established by the United Nations (UN), especially with reference to clean water and sources of energy. However, the relationship between SdGs and biosensor application for environmental monitoring is not well understood. In addition, some limitations and challenges might hinder the biosensor application on environmental monitoring. Herein, we reviewed the different types of biosensors, principle and applications, and their correlation with SdG 6, 12, 13, 14, and 15 as a reference for related authorities and administrators to consider. In this review, biosensors for different pollutants such as heavy metals and organics were documented. The present study highlights the application of biosensor for achieving SdGs. Current advantages and future research aspects are summarized in this paper. ATP: Adenosine triphosphate; BOd: Biological oxygen demand; COd: Chemical oxygen demand; Cu-TCPP: Cu-porphyrin; dNA: deoxyribonucleic acid; EdCs: Endocrine disrupting chemicals; EPA: U.S. environmental Protection Agency; Fc-HPNs: Ferrocene (Fc)-based hollow polymeric nanospheres; FeO@3d-GO: FeO@three-dimensional graphene oxide; GC: Gas chromatography; GCE: Glassy carbon electrode; GFP: Green fluorescent protein; GHGs: Greenhouse gases; HPLC: High performance liquid chromatography; ICP-MS: Inductively coupled plasma mass spectrometry; ITO: Indium tin oxide; LAS: Linear alkylbenzene sulfonate; : Laser-induced g

关键词： Biosensor bioavailability heavy metals organic pollutants sustainable development goals (SdGs)

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Application of 3-d nonlinear wave-load and structural-response simulations in naval ship design

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 253-266页

作者： Engle, A Lin, W Salvesen, N Shin, Y Allen H. Engle:is a naval architect in the Hydrodynamic Division of the Naval Sea Systems /Command (NavSea). He received his B.S. degree in engineering scinece from the State University of New York at Buffalo in 1977 and his M.S. degree in ocean engineering from the Unviersity of Hawaii in 1979. Corrently Mr. Engle is the program director of the Navy's Hydrodynamic Loads Technology Development Program. Mr. Engle is Chairman of SNAME Panel on Hull Loadings (HS-1) and contributing member to the International Ship and Offshore Structures Congress's Committee on Dynamics. Moei-Min Lin:is a senior research scientist at the Ship technology Division of Sciences Applications International Corporation (SAIC). He received his B.S. degree in naval architecture and marine engineering from the National Cheng-Kung University Taiwan in 1977 and his Ph.D. degree in ocean engineering from MIT in 1985. He is an expert in computational ship hydrodynamics. He has been the P.I. for development of the Large Amplitude Motions Program (LAMP) system. Nils Salvesen:is the manager of the Ship Technology Division of the Science Application International Corporation (SAIC).He received his B.S. and Ph.D. degree from the Development Naval Architecture and Marine Engineering of the University of Michigan in 1960 and 1966 respectively. He has more then thirty years of experience in the development of ship motion simulation and wave load prediction methods. More than twenty-five years ago he developed the original strip-theory code on which the Navy's ship motions program (SMP) is based. Yung-Sup Shin:is the principal engineer responsible for the hydrodynamic projects in the Research and Development Department of the American Bureau of Shipping New York. He received a Ph.D. degree in hydrodynamic from the Department of Naval Architecture and Marine Engineering of the University of Michigan. In the past eighteen years at ABS he has been involved in the theortical development and analysis of various marine hydrodynamic problems. In recent year

despite the limits inherent within linearized frequency-domain ship motion and wave load computer codes, strip theory has been found to provide the design community with a fairly robust, practical design tool with reasonable accuracy for most conventional displacement monohulls. However, the advent of new design concepts including multi-hulls and application of new materials as well as the push to incorporate reliability methods within surface ship structural design criteria has highlighted the need for more rigorous methods of developing a lifetime load spectrum. In this paper, a multilevel computation system for predicting ship motions and wave loads, up through and including extreme sea conditions, is presented. This system includes a traditional strip theory approach and newly developed linear and nonlinear three-dimensional time-domain methods. The new nonlinear methods are currently in the process of being validated by the U.S. Navy. The status of the current development is presented. Sample numerical results from the new nonlinear methods are compared with both linear frequency domain predictions and model tests.

关键词： Naval vessels

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dSG2 attenuates gemcitabine efficacy through PTX3 in lung adenocarcinoma

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Biochimica et Biophysica Acta - Molecular Basis of disease 2025年第6期1871卷 167881页

作者： Wang, Chin-Chou Lin, Jo-Ying Wang, Chih-Yang Shen, Wan-Jou Liao, Pin-Chen Ho, Yu-Fang Lin, Che-Wei Wang, Shao-An Ko, Ching-Chung dey, Sanskriti Ta, Hoang dang Khoa Xuan, do Thi Minh Kumar, Sachin William, Bianca Tobias Wang, Ju-Ming Wang, Wei-Jan Divisions of Pulmonary and Critical Care Medicine Department of Internal Medicine Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan Department of Respiratory Therapy Kaohsiung Chang Gung Memorial Hospital Chang Gung University College of Medicine Kaohsiung Taiwan Department of Internal Medicine Kaohsiung Municipal Ta-Tung Hospital Kaohsiung Taiwan Department of Biological Science and Technology China Medical University Taichung 40676 Taiwan Graduate Institute of Cancer Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University Taipei 11031 Taiwan Ph.D. Program for Cancer Molecular Biology and Drug Discovery College of Medical Science and Technology Taipei Medical University and Academia Sinica Taipei 11031 Taiwan TMU Research Center of Cancer Translational Medicine Taipei Medical University Taipei 11031 Taiwan Graduate Institute of Biomedical Sciences College of Medicine China Medical University Taichung 40402 Taiwan Department of Medical Imaging Chi-Mei Medical Center Tainan Taiwan Department of Health and Nutrition Chia Nan University of Pharmacy and Science Tainan Taiwan School of Medicine College of Medicine National Sun Yat-Sen University Kaohsiung Taiwan Faculty of Pharmacy Van Lang University 69/68 Dang Thuy Tram Street Ward 13 Binh Thanh District Ho Chi Minh City 70000 Viet Nam Faculty of Biotechnology and Applied Sciences Shoolini University of Biotechnology and Management Sciences Himachal Pradesh India Department of Biomedicine School of Life Sciences Indonesia International Institute for Life Sciences Jl Pulomas Barat Kav 88 Jakarta Timur 13210 Indonesia Department of Biotechnology and Bioindustry Sciences College of Bioscience and Biotechnology National Cheng Kung University Tainan Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Me

Lung adenocarcinoma (LUAd) is the most prevalent subtype of lung cancer, often diagnosed at an advanced stage with poor prognosis and limited treatment options. The desmoglein (dSG) family plays a crucial role in maintaining cell adhesion and tissue integrity. Upregulation of dSG proteins has been implicated in tumorigenesis, invasion, and metastasis across various cancers. However, the role of dSG in lung cancer, particularly as a biomarker influencing the efficacy of anti-cancer drugs, remains unclear. In this study, dSG2 was significantly overexpressed in LUAd tumor tissues and correlated with poor prognosis, as revealed by TCGA database analysis. Additionally, analyses of single-cell sequencing, KEGG, and GSEA multi-omics databases demonstrated that dSG2 modulates multiple oncogenic pathways, particularly the apoptosis pathway, with a strong positive correlation between dSG2 and PTX3 expression. In vitro experiments showed that dSG2 knockdown enhanced gemcitabine-induced apoptosis by downregulating the NFκB/STAT3/PTX3 signaling axis. Furthermore, adding recombinant PTX3 protein in dSG2 knockdown cells restored STAT3 activation, reducing gemcitabine efficacy, indicating that dSG2 contributes to gemcitabine resistance through PTX3-mediated mechanisms. This study identifies dSG2 as a critical mediator of gemcitabine resistance in LUAd through its regulation of the PTX3/NFκB/STAT3 pathway. The findings suggest that targeting dSG2 could enhance the therapeutic efficacy of gemcitabine in LUAd patients, offering a novel therapeutic strategy and biomarker for overcoming chemoresistance in this aggressive cancer subtype. © 2025 Elsevier B.V.

关键词： dSG2 Gemcitabine resistance Lung adenocarcinoma NFκB PTX3

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Succession of microbial communities with VOC changes during composting process

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Bioresource technology Reports 2023年 22卷

作者： Lin, Tachen Zhao, Yunlong Jiang, Yuan Ou, Jinlan Hussain, Adnan Chen, Lixian Lin, Chitsan School of food and chemical engineering Liuzhou Institute of Technology Guangxi Liuzhou545000 China School of food science and engineering Beibu Gulf University Guangxi Qinzhou535011 China Ph.D. program of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan

The kitchen waste compost treatment of diesel contaminated soil has the advantages of good bioremediation effect and low treatment cost. However, through understanding the mechanism of microbial degradation of diesel, the disadvantage of biological treatment time in the composting process is too time-consuming. The research results showed that the evolution of microbial communities was affected by physicochemical parameters in the composting process. during the heating period, it was found that Lactobacillus sakei and Escherichia coli were acid producing bacteria. Pseudomonas putida GB-1 is a terpenoid producing bacterium. Bacillus sp. was found to be aldehyde and sulfide producing bacteria during high temperature composting. Brevibacillus borstenensis and Low G + C Gram positive bacteria are ammonia producing bacteria. The microbial degradation mechanism could be deduced according to the VOCs change in compost gas, and the strategies to promote the efficiency of biological treatment in the composting process were provided for reference. © 2023 Elsevier Ltd

关键词： degradation

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Grinding wheel specification cybernetic recommendation with multi-task multi-imbalanced learning in smart manufacturing system

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Advanced Engineering Informatics 2024年 61卷

作者： Yao, Kuo-Ching Chen, Tzu-Li Chen, James C. Li, Chia-Ruei International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Kinik Company New Taipei23942 Taiwan Graduate Institute of Intelligent Manufacturing Technology National Taiwan University of Science and Technology Taipei106335 Taiwan Department of Industrial Engineering and Engineering Management National Tsing Hua University Hsinchu300044 Taiwan

Over the years, the grinding wheels industry has played a crucial role in mechanical engineering. Grinding wheel specification is composed of various factors such as abrasive type, wheel grade, bond type, and more, which are derived from customer workpiece operation information. Traditionally, the determination process of grinding wheel specifications is complicated. Experienced engineers need to check out the limitation and consider the interaction of each factor. When the new specification order comes, engineers have to spend a lot of time on historical data search and discussion. Recently, the application of artificial intelligence attracts more and more attention in the manufacturing industry. Through collecting historical data, the model has the ability to extract the domain knowledge, predict the specification that does not exist, and reduce the decision time. However, when training the model, this grinding wheel specification faced multiple imbalanced targets and multi-task issues. In the past, research efforts primarily focused on studying single-task learning (STL) algorithms. Seldom of them has a systematic way to discuss the model determination of multiple targets and correlation influence, especially on the tabular-type dataset. In this study, we proposed a multiple resampling chain multi-task learning framework to address the issue of data science. To tackle the multi-task imbalance resampling problem, we also proposed a resampling strategy called Multiple Resampling Chain. Moreover, we conducted a sensitivity analysis to examine the correlation effect on model improvement. Finally, we proposed a cyber-recommendation system that integrates the training model and interface to provide a more intuitive way of specification prediction. This system not only can help engineers to improve the time spent on making decisions, but also make the whole manufacturing process to be more intelligent. © 2024 Elsevier Ltd

关键词： Grinding (machining)

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NIR-Responsive Methotrexate-Modified Iron Selenide Nanorods for Synergistic Magnetic Hyperthermic, photothermal, and Chemodynamic Therapy

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ACS Applied Materials and Interfaces 2024年第20期16卷 25622-25636页

作者： Thirumurugan, Senthilkumar Muthiah, Kayalvizhi Samuvel Lin, Yu-Chien dhawan, Udesh Liu, Wai-Ching Wang, An-Ni Liu, Xinke Hsiao, Michael Tseng, Ching-Li Chung, Ren-Jei No. 1 Section 3 Zhongxiao East Road Taipei10608 Taiwan Centre for the Cellular Microenvironment Division of Biomedical Engineering James Watt School of Engineering Mazumdar-Shaw Advanced Research Centre University of Glasgow GlasgowG116EW United Kingdom Faculty of Science and Technology Technological and Higher Education Institute of Hong Kong Hong Kong New Territories999077 Hong Kong Scrona AG Grubenstrasse 9 Zürich8045 Switzerland College of Materials Science and Engineering Chinese Engineering and Research Institute of Microelectronics Shenzhen University Shenzhen518060 China Department of Electrical and Computer Engineering National University of Singapore Singapore117583 Singapore Genomics Research Center Academia Sinica Taipei115 Taiwan Department and Graduate Institute of Veterinary Medicine School of Veterinary Medicine National Taiwan University Taipei10617 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Research Center of Biomedical Device College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Taipei10608 Taiwan

Breast cancer is a malignant tumor with a high mortality rate among women. Therefore, it is necessary to develop novel therapies to effectively treat this disease. In this study, iron selenide nanorods (FeSe2 NRs) were designed for use in magnetic hyperthermic, photothermal, and chemodynamic therapy (MHT/PTT/CdT) for breast cancer. To illustrate their efficacy, FeSe2 NRs were modified with the chemotherapeutic agent methotrexate (MTX). MTX-modified FeSe2 (FeSe2-MTX) exhibited excellent controlled drug release properties. Fe2+ released from FeSe2 NRs induced the release of •OH from H2O2 via a Fenton/Fenton-like reaction, enhancing the efficacy of CdT. Under alternating magnetic field (AMF) stimulation and 808 nm laser irradiation, FeSe2-MTX exerted potent hyperthermic and photothermal effects by suppressing tumor growth in a breast cancer nude mouse model. In addition, FeSe2 NRs can be used for magnetic resonance imaging in vivo by incorporating their superparamagnetic characteristics into a single nanomaterial. Overall, we presented a novel technique for the precise delivery of functional nanosystems to tumors that can enhance the efficacy of breast cancer treatment. © 2024 The Authors. Published by American Chemical Society

关键词： Magnetic resonance imaging

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Implementing environmental management systems in industries along the Atlantic coast of Cameroon: drivers, benefits and barriers

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Corporate Social Responsibility and environmental Management 2006年第4期13卷 221-232页

作者： Alemagi, dieudonne Oben, Pius M. Ertel, Jürgen Environmental and Resource Management Ph.D. Program Department of Industrial Sustainability Brandenburg University of Technology Cottbus Germany Department of Geology and Environmental Science University of Buea Cameroon Department of Industrial Sustainability Brandenburg University of Technology Cottbus Germany Department of Industrial Sustainability Brandenburg University of Technology Cottbus 03013 Cottbus Postfach 101344 Germany

The deleterious impact of industrial activities on safety health and environmental quality has motivated industries to adopt environmental management systems (EMSs). This paper examines the implementation of EMSs in industries that interact with the Atlantic coast of Cameroon, which has been plagued with effluents emanating from industrial activities. Through a questionnaire based survey that was conducted from January 2005 to June 2005 with all the industries along the Atlantic coast of Cameroon, this paper seeks to address the motivating factors, implementation hurdles and benefits accrued by these industries as a result of implementing EMSs. Although enormous benefits have been accrued as a result of EMS implementation, a plethora of hurdles still persist in the realm of EMS implementation in these industries. Against this background, this paper concludes by prescribing a number of recommendations that could be used to promote the implementation of EMSs in industries that interact with the Atlantic coast of Cameroon. Copyright © 2006 John Wiley & Sons, Ltd and ERP Environment.

关键词： Atlantic coast of Cameroon environmental management system (EMS) environmental management system components environmental quality Industrial pollution ISO 14001 Questionnaire Survey

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A RISK-BASEd APPROACH FOR MANAGING HAZARdOUS-WASTE

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GROUNd WATER MONITORING ANd REMEdIATION 1995年第1期15卷 79-89页

作者： CHIANG, CY PETKOVSKY, Pd MCALLISTER, PM Chen Y. Chiang received his Ph.D. in environmental engineering from Rice University. He is a senior research engineer in Environmental RD&T at Shell Development Co.'s Westhollow Technology Center (3333 Hwy. 6 South Houston TX 77082 fax (713) 544–8727). He serves on the Hydrologic Science Panel of the National Science Foundation and on the Ground Water/Soil Technical Task Force of the American Petroleum Institute. He also serves on the Advisory Board of the Rutgers DARPA/ONR research program. His research interests include in situ bioremediation processes ground water/soil sampling and monitoring multiphase fluid flow phenomenon and risk/ exposure assessment. Paul Petkovsky is a senior research technician in the Groundwater Modeling Group of Environmental RD&T at Shell Development Co.'s Westhollow Technology Center. His responsibilities include site data analysis and the numerical modeling of the fate and transport of organics in ground water. He is currently pursuing a B.S. in chemical engineering with an environmental emphasis at the University of Houston. Paul McAllister received a B.S. in chemical engineering from the University of Kansas in 1987 and a Ph.D. in chemical engineering from the University of Notre Dame in 1991. He is currently an associate research engineer in Environmental RD&T at Shell Development Co.'s Westhollow Technology Center. Since joining Shell he has conducted research and provided technical support on ground water modeling and remediation issues. His research interests include in situ bioremediation of ground water and residual hydrocarbons natural attenuation of contaminants and subsurface fate and transport phenomena in the subsurface.

In 1992, the U.S. environmental Protection Agency (EPA) proposed risk-based management of hazardous waste. A major component of the proposed rule is the determination of non-site-specific screening concentration levels from waste leachate. Ground water at a downgradient exposure point must not exceed those screening levels, or more stringent requirements would apply. The screening concentration level is determined with verified models and equations that simulate the transport and attenuation of chemicals as they travel from the source area to the exposure point. A consortium of screening levels is determined in this paper by considering varying physical, chemical, and biological conditions. In addition, a method is developed for multicomponent leaching from contaminated soils in a landfill to determine the time-dependent behavior of a finite source. Finally, this paper discusses infiltration rate through the clay liner.

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Characterization of VOCs during diesel oil composting process

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Bioresource technology Reports 2023年 22卷

作者： Lin, Tachen Kuo, Shulung Hussain, Adnan Chen, Zhigui Huang, Manlin Lin, Chitsan School of Food and Chemical Engineering Liuzhou Institute of Technology Guangxi Liuzhou545000 China Kelee Environmental Consultants Corporation Kaohsiung City806040 Taiwan Ph.D. Program of Aquatic Science and Technology National Kaohsiung University of Science and Technology Kaohsiung811213 Taiwan Continental Water Engineering Corporation Taipei City103018 Taiwan School of Food Science and Engineering Beibu Gulf University Guangxi Qinzhou535011 China Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung City811213 Taiwan

By composting kitchen waste, deisel-contaminated soil was treated and volatile organic compound (VOC) emissions were assessed. Composting kitchen waste reduces contamination volume due to gas emissions. An aerobic treatment period of 12 days was conducted for the measurements of VOC emissions from different phases, such as gaseous, solid, and leachate, were conducted throughout the experiment. The results show that VOC concentrations were high during the mesophilic phase and reduced with increasing temperature during the composting period. It has been observed that at least 314 VOCs have been detected during the mesophilic, thermophilic, and cooling phases. Compost odor was mainly caused by NH3, methanethiol, carbon disulfide, dimethyl sulfide, and dimethyl disulfide, and most of these compounds appeared in thermophilic phase. Furthurmore, emissions of VOCs from composting kitchen waste reduces total diesel concentration in the soil to achieve a green and clean environment. © 2023 Elsevier Ltd

关键词： Gas emissions

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