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arXiv 2024年

作者： Li, Shih-Cheng Wang, Pei-Hwa Su, Jheng-Wei Chiang, Wei-Yin Huang, Shih-Hsien Lin, Yen-Chu Ou, Chia-Ho Chen, Chih-Yu Insilico Medicine Taiwan Ltd. Taipei City110208 Taiwan Department of Chemical Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Quantum Information Center Chung Yuan Christian University Taoyuan City320314 Taiwan Master Program in Intelligent Computing and Big Data Chung Yuan Christian University Taoyuan City320314 Taiwan Department of Computer Science and Information Engineering National Pingtung University Pingtung City900392 Taiwan

Finding appropriate reaction conditions that yield high product rates in chemical synthesis is crucial for the chemical and pharmaceutical industries. However, due to the vast chemical space, conducting experiments for each possible reaction condition is impractical. Consequently, models such as QSAR (Quantitative Structure-Activity Relationship) or ML (Machine Learning) have been developed to predict the outcomes of reactions and illustrate how reaction conditions affect product yield. Despite these advancements, inferring all possible combinations remains computationally prohibitive when using a conventional CPU. In this work, we explore using a Digital Annealing Unit (DAU) to tackle these large-scale optimization problems more efficiently by solving Quadratic Unconstrained Binary Optimization (QUBO). Two types of QUBO models are constructed in this work: one using quantum annealing and the other using ML. Both models are built and tested on four high-throughput experimentation (HTE) datasets and selected Reaxys datasets. Our results suggest that the performance of models is comparable to classical ML methods (i.e., Random Forest and Multilayer Perceptron (MLP)), while the inference time of our models requires only seconds with a DAU. Additionally, in campaigns involving active learning and autonomous design of reaction conditions to achieve higher reaction yield, our model demonstrates significant improvements by adding new data, showing promise of adopting our method in the iterative nature of such problem settings. Our method can also accelerate the screening of billions of reaction conditions, achieving speeds millions of times faster than traditional computing units in identifying superior conditions. Therefore, leveraging the DAU with our developed QUBO models has the potential to be a valuable tool for innovative chemical synthesis. Copyright © 2024, The Authors. All rights reserved.

关键词： Machine learning

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Biochar as construction materials for achieving carbon neutrality

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Biochar 2022年第1期4卷 194-218页

作者： Yuying Zhang Mingjing He Lei Wang Jianhua Yan Bin Ma Xiaohong Zhu Yong Sik Ok Viktor Mechtcherine Daniel C.W.Tsang Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina State Key Laboratory of Clean Energy Utilization Zhejiang UniversityHangzhou 310027China Laboratory for Waste Management Nuclear Energy and SafetyPaul Scherrer Institute5232 VilligenSwitzerland School of Civil Engineering University of LeedsWest YorkshireLeedsUK Korea Biochar Research Center APRU Sustainable Waste Management Program&Division of Environmental Science and Ecological EngineeringKorea UniversitySeoulKorea Institute of Construction Materials Technische Universität Dresden01062 DresdenGermany Research Centre for Resources Engineering towards Carbon Neutrality The Hong Kong Polytechnic UniversityHung HomKowloonHong KongChina

Biochar is a waste-derived material that can sequester carbon at a large *** development of low-carbon and sustainable biochar-enhanced construction materials has attracted extensive ***,having a porous nature and highly functionalised surface,can provide nucleation sites for chemical reactions and exhibit compatibility with cement,asphalt,and polymer *** study critically reviewed the state-of-the-art biochar-enhanced construction materials,including biochar-cement composites,biochar-asphalt composites,biochar-plastic composites,*** efficacies and mechanisms of biochar as construction materials were articulated to improve their functional *** critical review highlighted the roles of biochar in cement hydration,surface functional groups of engineered biochar for promoting chemical reactions,and value-added merits of biochar-enhanced construction materials(such as humidity regulation,thermal insulation,noise reduction,air/water purification,electromagnetic shielding,and self-sensing).The major properties of biochar are correlated to the features and functionalities of biochar-enhanced construction *** advances in our understanding of biochar’s roles in various composites can foster the next-generation design of carbon-neutral construction materials.

关键词： Engineered biochar Biomass waste management Carbon-negative materials Carbon neutrality Supplementary cementitious materials Sustainable construction

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Predicting Metabolic Syndrome With Machine Learning Models of Hybrid Analysis

Predicting Metabolic Syndrome With Machine Learning Models o...

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2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023

作者： Wu, Yi-Syuan Wang, Wei-Yun Wu, Hao-Yi Chen, Chao-Wen Chu, Chi-Ming Wu, Cheng-Wei Division of Trauma and Surgical Critical Care Department of Surgery Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung Taiwan Master Program of E-Learning for Multimedia and Network Communications National I-Lan University Yilan Taiwan National Defense Medical Center Tri-Service General Hospital Songshan Branch School of Nursing Department of Nursing Taipei Taiwan National Defense Medical Center Department of Nursing Tri-Service General Hospital Taipei Taiwan Kaohsiung Medical University Hospital Kaohsiung Medical University Trauma and Critical Care Service Department of Surgery Kaohsiung Taiwan National Defense Medical Center School of Public Health Taipei Taiwan National I-Lan University Department of Computer Science and Information Engineering Yilan Taiwan

ISBN: (纸本)9798350324174

The study uses machine learning to determine the accuracy of different algorithms for predicting MetS. Early prediction of MetS through routine health screening is an important goal for preventive medicine. The subjects in this study were employees aged 20 to 65 years old who signed a consent form for in-hospital health screening data were collected from 2015 to 2020. Total of 3538 individuals who underwent health screening were included in this study. Baseline characteristics of the 315 participants diagnosed with metabolic syndrome and 3222 participants without metabolic syndrome. This is a machine learning approach to identify metabolic syndrome using biochemical values and lifestyle habits. We found that the F1 score for detection of metabolic syndrome by neural network is the most accurate and higher compared to other models. Our study also identified some new indicators, including heart rhythm, RBC, WBC, Hb, and uric acid, as candidates for better detection of metabolic syndrome. © 2023 IEEE.

关键词： Forecasting

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Ecological implications of twentieth century reforestation programs for the urban forests of São Paulo, Brazil: a study based on litterfall and nutrient cycling

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Ecological Processes 2021年第1期10卷 367-379页

作者： Maurício Lamano Ferreira Marcelo Ferreira Barbosa Eduardo Pereira Cabral Gomes Ana Paula Branco do Nascimento Edgar Fernando de Luca Karina Gonçalves da Silva Ulisses Bezerra França Plínio Barbosa de Camargo Raffaele Lafortezza Master’s Program in Health Promotion Adventist University of São PauloSão PauloSPBrazil. Master’s Program in Geoenvironmental Analysis University of GuarulhosGuarulhosSPBrazil. Department of Health Faculty of Biological ScienceUniversity Nove de Julho(UNINOVE)São PauloSPBrazil. Institute of Botany(IBT/SP) São PauloSPBrazil. Department of Civil Engineering São Judas Tadeu UniversitySão PauloSPBrazil. Institute of Forestry(IF/SP) São PauloSPBrazil. Centro de Energia Nuclear na Agricultura(CENA/USP) University of São PauloPiracicabaSPBrazil. Prefeitura da cidade de São Paulo(Secretaria do Verde e Meio Ambiente) São PauloSPBrazil Department of Agricultural and Environmental Sciences University of Bari Aldo MoroBariItaly. Department of Geography The University of Hong KongCentennial CampusPokfulam RoadHong KongHong Kong.

The focus of this study was to investigate the wide use of Eucalyptus spp.,an exotic plant with high allelopathic ability,in the reforestation programs of urban parks in São Paulo City,Brazil,over the last *** understand the implications of using Eucalyptus *** the city’s parks,this study aimed to compare nutrient cycling and litter decomposition between a mixed composition of litter(i.e.,native and exotic species)and the litter of a single species(i.e.,Eucalyptus).To accomplish this,newly deciduous leaves were collected from two native and two exotic species that are commonly used in the afforestation of São Paulo as well as from Eucalyptus *** mixed composition of litter yielded a higher dry mass loss and return of macro-and micronutrients to the forest *** decomposition constant(k)values were 0.00322 and 0.00207 g g^(−1) day^(−1) for the mixed composition and Eucalyptus spp.,*** time required for decomposition of 50 and 95%of deciduous material was 215 and 931 days,respectively,and for the mixed litterfall 334 and 1449 days,respectively,for Eucalyptus ***,the mixed litter exhibited greater dry mass loss and nutrient cycling in an urban forest of São Paulo City,since dry mass losses as well as speed and amount of nutrients returned to the forest floor were relatively higher compared to Eucalyptus *** cycling via Eucalyptus *** was less efficient than mixed composition of litter,demonstrating that reforestation programs carried out in the twentieth century using only one species may have had little *** results of this work emphasize the fact that in urban reforestation programs the City of São Paulo must consider the environmental and biogeographic characteristics of the species employed and use high levels of biodiversity,since the city lies in a megadiverse biome.

关键词： Tropical forest Exotic species Nutrient dynamics Ecosystem functioning

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Urban heat mitigation by green and blue infrastructure:Drivers,effectiveness,and future needs

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The Innovation 2024年第2期5卷 145-166页

作者： Prashant Kumar Sisay E.Debele Soheila Khalili Christos H.Halios Jeetendra Sahani Nasrin Aghamohammadi Maria de Fatima Andrade Maria Athanassiadou Kamaldeep Bhui Nerea Calvillo Shi-Jie Cao Frederic Coulon Jill L.Edmondson David Fletcher Edmilson Dias de Freitas Hai Guo Matthew C.Hort Madhusudan Katti Thomas Rodding Kjeldsen Steffen Lehmann Giuliano Maselli Locosselli Shelagh K.Malham Lidia Morawska Rajan Parajuli Christopher D.F.Rogers Runming Yao Fang Wang Jannis Wenk Laurence Jones Global Centre for Clean Air Research(GCARE) School of SustainabilityCivil and Environmental EngineeringFaculty of Engineering and Physical SciencesUniversity of SurreyGuildford GU27XHUK Institute for Sustainability University of SurreyGuildford GU27XHSurreyUK School of Built Environment University of ReadingWhiteknightsReading RG66BUUK School Design and the Built Environment Curtin University Sustainability Policy InstituteKent StBentley 6102Western Australia Harry Butler Institute Murdoch UniversityMurdoch 6150Western Australia Atmospheric Sciences Department Institute of AstronomyGeophysics and Atmospheric SciencesUniversity of Sao PauloSao Paulo 05508-090Brazil Met Office FitzRoy RoadExeter EX13PBUK Department of Psychiatry and Nuffield Department of Primary Care Health Sciences Wadham CollegeUniversity of OxfordOxfordUK Centre for Interdisciplinary Methodologies University of WarwickWarwickUK School of Architecture Southeast University2 SipailouNanjing 210096China Cranfield University School of WaterEnvironment and EnergyCranfield MK430ALUK Plants PhotosynthesisSoil ClusterSchool of BiosciencesUniversity of SheffieldSheffield S102TNUK UK Centre for Ecology&Hydrology Environment Centre WalesDeiniol RoadBangor LL572UWUK Air Quality Studies Department of Civil and Environmental EngineeringThe Hong Kong Polytechnic UniversityHong KongChina Department of Forestry and Environmental Resources Faculty Excellence Program for Leadership in Public ScienceNorth Carolina State UniversityChancellorRaleighNC 27695USA Departments of Architecture&Civil Engineering and Chemical EngineeringUniversity of BathBath BA27AYUK School of Architecture University of NevadaLas VegasNV 89154USA Department of Tropical Ecosystems Functioning Center of Nuclear Energy in AgricultureUniversity of São PauloPiracicaba 13416-000Sao PauloBrazil School of Ocean Sciences Bangor UniversityMenai BridgeAnglesey LL595 ABUK International Laboratory for Air Quality and Health Science and Engine

The combination of urbanization and global warming leads to urban overheating and compounds the frequency and intensity of extreme heat events due to climate ***,the risk of urban overheating can be mitigated by urban green-blue-grey infrastructure(GBGI),such as parks,wetlands,and engineered greening,which have the potential to effectively reduce summer air *** many reviews,the evidence bases on quantified GBGI cooling benefits remains partial and the practical recommendations for implementation are *** systematic literature review synthesizes the evidence base for heat mitigation and related co-benefits,identifies knowledge gaps,and proposes recommendations for their implementation to maximize their *** screening 27,486 papers,202 were reviewed,based on 51 GBGI types categorized under 10 main *** GBGI(green walls,parks,street trees)have been well researched for their urban cooling ***,several other GBGI have received negligible(zoological garden,golf course,estuary)or minimal(private garden,allotment)*** most efficient air cooling was observed in botanical gardens(5.0±3.5℃),wetlands(4.9±3.2℃),green walls(4.1±4.2℃),street trees(3.8±3.1℃),and vegetated balconies(3.8±2.7℃).Under changing climate conditions(2070–2100)with consideration of RCP8.5,there is a shift in climate subtypes,either within the same climate zone(e.g.,Dfa to Dfb and Cfb to Cfa)or across other climate zones(e.g.,Dfb[continental warm-summer humid]to BSk[dry,cold semi-arid]and Cwa[temperate]to Am[tropical]).These shifts may result in lower efficiency for the current GBGI in the *** the importance of multiple services,it is crucial to balance their functionality,cooling performance,and other related co-benefits when planning for the future *** global GBGI heat mitigation inventory can assist policymakers and urban planners in prioritizing effective interventions to reduce the risk of urban overheating,fi

关键词： estuary walls extreme

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Front-end circuit design for electroencephalography (EEG) signal 2

Front-end circuit design for electroencephalography (EEG) si...

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Indo - Taiwan 2nd International Conference on Computing, Analytics and Networks, Indo-Taiwan ICAN 2020

作者： Salahuddin Morsalin, S.M. Lai, Shin-Chi Master's Program of Green Technology for Sustainability Nanhua University Chiayi County Taiwan Nanhua University Department of Computer Science and Information Engineering Chiayi County Taiwan

ISBN: (纸本)9781728149998

Electroencephalography (EEG) signals are recorded for knowing the electrical activity of the brain from the scalp, and the recorded waveform provides acquits into the dynamic aspects of brain activity. This study incorporates the circuit design and device development to achieve the Electroencephalography signal acquisition front-end circuit design for future Brain-Computer Interface (BCI) applications. The amplitude of acquired signals should be strong enough and is usually expressed in the unit of millivolts. The data acquisition procedure consists three stages: 1) The acquisition of original EEG signal can be done by the active electrode and an instrumentation amplifier with a smaller gain;2) Improves the signal quality by using band-pass filter and band-stop filter;3) Those EEG signals convert into the digital code through the analog-to-digital converter (ADC) that will be integrated into a micro-controller. The digital code is stored into an embedded memory and is further transmitted via the Bluetooth module. The experimental results show that the system could implement the acquisition and storage of the EEG signals efficiently. The size of the printed circuit board (PCB) for the proposed design is smaller than 5.5 cm2. This system would be a benefit to all involved in the use of EEG for clinical diagnosis and monitoring, or even for the braincomputer interface. © 2020 IEEE.

关键词： Electrodes

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Antitumor efficacy and potential mechanism of FAP-targeted radioligand therapy combined with immune checkpoint blockade

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Signal Transduction and Targeted Therapy 2024年第7期9卷 2936-2952页

作者： Liang Zhao Yizhen Pang Yangfan Zhou Jianhao Chen Hao Fu Wei Guo Weizhi Xu Xin Xue Guoqiang Su Long Sun Hua Wu Jingjing Zhang Zhanxiang Wang Qin Lin Xiaoyuan Chen Haojun Chen Department of Nuclear Medicine and Minnan PET Center Xiamen Key Laboratory of RadiopharmaceuticalsThe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenChina Departments of Diagnostic Radiology SurgeryChemical and Biomolecular Engineeringand Biomedical EngineeringYong Loo Lin School of Medicine and College of Design and EngineeringNational University of SingaporeSingaporeSingapore Clinical Imaging Research Centre Centre for Translational MedicineYong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore Department of Radiation Oncology Xiamen Cancer CenterXiamen Key Laboratory of Radiation OncologyThe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenChina Department of Colorectal Tumor Surgery Xiamen Cancer CenterXiamen Key Laboratory of Radiation OncologyThe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenChina Department of Cardiothoracic Surgery Zhongda HospitalSchool of MedicineSoutheast UniversityNanjingChina Nanomedicine Translational Research Program NUS Center for NanomedicineYong Loo Lin School of MedicineNational University of SingaporeSingaporeSingapore Department of Neurosurgery and Department of Neuroscience Fujian Key Laboratory of Brain Tumors Diagnosis and Precision TreatmentXiamen Key Laboratory of Brain Centerthe First Affiliated Hospital of Xiamen UniversitySchool of MedicineXiamen UniversityXiamenChina Institute of Molecular and Cell Biology Agency for ScienceTechnology and Research(A*STAR)SingaporeSingapore Xiamen Key Laboratory of Rare Earth Photoelectric Functional Materials Xiamen Institute of Rare Earth MaterialsHaixi InstituteChinese Academy of SciencesXiamenChina

Radiotherapy combined with immune checkpoint blockade holds great promise for synergistic antitumor *** radionuclide therapy delivers radiation directly to tumor ***1004 is a fibroblast activation protein(FAP)-targeting radiopharmaceutical,conjugated with the albumin binder Evans Blue,which has demonstrated enhanced tumor uptake and retention in previous preclinical and clinical ***,we demonstrate that^(68)Ga/^(177)Lu-labeled LNC1004 exhibits increased uptake and prolonged retention in MC38/NIH3T3-FAP and CT26/NIH3T3-FAP tumor *** therapy with^(177)Lu-LNC1004 induced a transient upregulation of PD-L1 expression in tumor *** combination of^(177)Lu-LNC1004 and anti-PD-L1 immunotherapy led to complete eradication of all tumors in MC38/NIH3T3-FAP tumor-bearing mice,with mice showing 100%tumor rejection upon ***,single-cell RNA sequencing(scRNA-seq),and TCR sequencing revealed that combination therapy reprogrammed the tumor microenvironment in mice to foster antitumor immunity by suppressing malignant progression and increasing cell-to-cell communication,CD8^(+)T-cell activation and expansion,M1 macrophage counts,antitumor activity of neutrophils,and T-cell receptor diversity.A preliminary clinical study demonstrated that^(177)Lu-LNC1004 was well-tolerated and effective in patients with refractory ***,scRNA-seq of peripheral blood mononuclear cells underscored the importance of addressing immune evasion through immune checkpoint blockade *** was emphasized by the observed increase in antigen processing and presentation juxtaposed with T cell *** conclusion,our data supported the efficacy of immunotherapy combined with^(177)Lu-LNC1004 for cancer patients with FAP-positive tumors.

关键词： immunity retention holds

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Low-to-Moderate Arsenic Exposure and Urothelial Tract Cancers with a Long Latent Period of Follow-Up in an Arseniasis Area

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Journal of Epidemiology and Global Health 2023年第4期13卷 807-815页

作者： Liao, Pei-Ju Lee, Chih-Hung Wang, Shu-Li Chiou, Hung-Yi Chen, Chien-Jen Seak, Chen-June Wu, I-Wen Hsu, Kuang-Hung International Program of Health Informatics and Management Chang Gung University Taoyuan Taiwan Master Degree Program in Health and Long-Term Care Industry Chang Gung University Taoyuan Taiwan Division of Nephrology Chang Gung Memorial Hospital Keelung Taiwan Department of Dermatology Kaohsiung Chang Gung Memorial Hospital Kaohsiung Taiwan National Institute of Environmental Health Sciences National Health Research Institutes Miaoli Taiwan Institute of Population Health Sciences National Health Research Institutes Zhunan Miaoli County Taiwan Master Program in Applied Epidemiology College of Public Health Taipei Medical University Taipei Taiwan Genomics Research Center Academia Sinica Taipei Taiwan Department of Emergency Medicine New Taipei Municipal Tucheng Hospital New Taipei City Taiwan Department of Emergency Medicine Lin-Kou Medical Center Chang Gung Memorial Hospital Taoyuan Taiwan College of Medicine Chang Gung University Taoyuan Taiwan Laboratory for Epidemiology Department of Health Care Management and Healthy Aging Research Center Chang Gung University No. 259 Wen-Hwa 1St Road Kwei-Shan Taoyuan 333 Taiwan Research Center for Food and Cosmetic Safety College of Human Ecology Chang Gung University of Science and Technology Taoyuan Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City Taiwan

Background: Arsenic exposure can cause adverse health effects. The effects of long-term low-to-moderate exposure and methylations remain unclear. Objective: This study aims to examine the association between low-to-moderate arsenic exposure and urothelial tract cancers while considering the effects of methylation capacity. Methods: In this study, 5,811 participants were recruited from an arseniasis area in Taiwan for inorganic arsenic metabolite analysis. This follow-up study was conducted between August 1995 and December 2017. We identified 85 urothelial tract cancers in these participants, including 49 bladder and 36 upper urothelial tract cancer cases. A Cox proportional hazards model was employed. Results: The analyses revealed a significant association between concentrations of inorganic arsenic in water > 100 ug/L and bladder cancer occurrence, with a hazard ratio (HR) of 4.88 (95% CI 1.35–17.61). A monotonic trend was observed between concentrations of inorganic arsenic in water (from 0 to > 100 ug/L) and the incidence of urothelial tract cancer, including bladder cancer (p < 0.05) and upper urothelial tract cancers (p < 0.05). Participants with a lower primary methylation index or higher secondary methylation index had a prominent effect. Conclusions: Rigorous regulations and active interventions should be considered for populations with susceptible characteristics. © 2023, The Author(s).

关键词： Bladder cancer Dose–response relationship Long latency arsenic exposure Methylation capacity Upper urothelial tract cancers

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Regional Model of Smart Construction Waste Monitoring: Household Base Framework in Central Java-Indonesia 1

Regional Model of Smart Construction Waste Monitoring: House...

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1st International Conference on Environment, Sustainability Issues and Community Development, INCRID 2019

作者： Maryono, M. Hastuti, S.M. Rahma, N.N. Roynaldi, A.D. Sudarno Hadiyanto Department of Urban and Regional Planning Faculty of Engineering Diponegoro University Indonesia Master Program of Environmental Science School of Postgraduate Diponegoro University Indonesia Department of Environmental Engineering Faculty of Engineering Diponegoro University Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Indonesia

The growth of infrastructure development is currently increasing rapidly in Indonesia. Beside government policy trough their procurement in national, provincial and local level, it is also driven by private sector and per capita as of economic growing and increasing population. In the process physical development, several mixture of material such as stone, cement, sand, demolition material are often left over and discharge. Today Indonesia government will issued construction and demolition waste guideline to make more green and environmental sound. One of the basic problem founded was concerning to the development of model to estimated then monitored construction generation in rural, urban or in a strategic region. Moreover, in the era of digital as known as revolution industry 4.0, an automatic system of monitoring, known as smart monitoring of the construction waste generation is very importance to build. The purpose of this study was to build regional model of smart construction monitoring in Indonesia. The basic method to build the regional model is by utilized an index approach, and combined by using GIS to build automatic information delivery system from rural, urban or region to the central system. This study is then choosed Central Java Province for more detail model development. The study founded 7 (seven) pattern of construction waste generation. The extreme condition founded in Grobogan, Purworejo and Kebumen at which for decade 2000-2014 the degree is waste generation always decrease. In Addition, In central Java Province, this study founded three characteristic of regional model of construction waste as follow: (1) Region with high level of construction waste degree;(2) region with moderate level of construction waste degree;and (3) region with low level of construction waste degree. © 2020 IOP Publishing Ltd.

关键词： Demolition

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Regional Model Development of Plastic Waste Monitoring: Basic Framework from Population and Public Market in Central Java-Indonesia 1

Regional Model Development of Plastic Waste Monitoring: Basi...

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1st International Conference on Environment, Sustainability Issues and Community Development, INCRID 2019

作者： Maryono, M. Seruyaningtyas, K. Roynaldi, A.D. Hastuti, C.M. Rahma, N.N. Sudarno Hadiyanto Department of Urban and Regional Planning Faculty of Engineering Diponegoro University Indonesia Master Program of Environmental Science School of Postgraduate Diponegoro University Indonesia Department of Environmental Engineering Faculty of Engineering Diponegoro University Indonesia Department of Chemical Engineering Faculty of Engineering Diponegoro University Indonesia

Recently, Intention to accelerate SGDs achievement and also mitigate climate change impact concerning to regional health, increasing significantly. One of the regional health issues for those is concerning to impcat of plastic waste. Event though plastic is one of the principal materials in the regional market and industry, but then plastic waste arise to be principal problem for regional environmental health indicators since they linked living from land to coastal and to oceans. Many tons of plastic from land accounted enter to costal and or ocean then attack to all living thinks. Moreover they may be able to return to the land as microplastic consumed by fish. Today, quick respond to manage plastic waste have a high assosiation with effort to manage green food cycle as of covering basic regional food and cereal cycle. This study goal is to provide basic model for regional plastic waste degree monitoring. The model is developed by using "online" population data from regional statistical data and number of public market. GIS tools is used to degree of plastic waste in spatial map. For detail, Central Java Provice was then selected for model assessment. To monitor the plastic waste generation in spatial pattern, online data population for year 1990, 2000, 2010, 2018 and number of traditional market was utilized. The study calculated that the highest degree of plastic waste generation with population-base approach for year 2018 is located in Brebes Regency with estimated 161.53 Ton per day. Semarang city contributed 160.04 Ton per day and total plastic waste generation in Central Java is estimated 3, 090.38. According to the public market location, this study founded that Surakarta, Semarang, Pekalongan and Tegal clasify as high degree of plastic waste ggeneration. © 2020 IOP Publishing Ltd.

关键词： Health

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