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System Dynamics Modeling for Petroleum Exploitation Using the 'Drifting Goals' Standard Model

IOP Conference Series: Earth and Environmental Science 2021年第1期794卷

作者： Wahyu Sardjono Haryoto Kusnoputranto Tri Edhi Budhi Soesilo A. Kristanto information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Environmental Health Faculty of Public Health University of Indonesia Indonesia Post Graduate Program School of Environmental Science University of Indonesia Jakarta Indonesia Environmental Engineering Department Faculty of Engineering University of Indonesia Jakarta Indonesia

In an oil drilling area, there are two oil drilling companies that have obtained permits to drill. As time goes by, the availability of existing petroleum decreases. To anticipate natural resources the government only prioritizes one company. Competition occurs between the two of them to explore petroleum from the ground so that they can drill. The purpose of this study is to provide an overview, how to make a system dynamics model related to the problem of oil drilling as an increasingly limited natural resource, by taking the case of the relationship between drilling companies in facing business competition. The method used is system dynamics with a standard model of mutual difficulties (drifting goals). The result obtained is a system dynamics model that can be used to demonstrate the behavior of a simulated petroleum drilling model to get an overview or condition of the limitations of petroleum and future availability.

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Properties of concrete paving blocks made with nickel slags

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IOP Conference Series: Earth and Environmental Science 2021年第1期622卷

作者： W Mustika A Kadir E Ngii M Nurdin Post Graduate Program Engineering Management Science Halu Oleo University Kendari Indonesia 93121 Department of Civil Engineering Faculty of Engineering Halu Oleo University Kendari Indonesia 93232 Department of Chemistry Faculty of Mathematics and Natural Sciences Halu Oleo University Kendari Indonesia 93232

This study is a follow-up of nickel slag waste used for building construction materials. Paving blocks were made using a mixture of cement and aggregates in a ratio of 1: 3 and 1: 5 which used a mixture of nickel slag waste and natural sand with aggregate gradation in zone III of the rather fine sand category based on SNI 03-2834-2000. Sand substitution with nickel slag waste has used a variation of the composition of the mixture of 0% (without slag), 25%, 75%, and 100% (without sand). The behaviour would be obtained the compressive strength value of paving blocks and average water absorption. Paving blocks compressive strength were tested at the age of 28 days, while the average value of water absorption was performed by immersing the paving block specimens for 24 hours. The physical strength and absorption value of paving block water refer to SNI 03-0691-1996. The results showed that the use of nickel slag waste in making paving blocks could increase the compressive strength of paving blocks, while water absorption in all compositions and variations of the paving blocks mixture was decreased in line with the increase of nickel slag composition.

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Applying fuzzy functions and sequential coordination to optimization of machinery arrangement and pipe routing

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NAVAL ENGINEERS JOURNAL 1998年第6期110卷 43-54页

作者： Wu, BC Young, GS Schmidt, W Choppella, K Dr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young: a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi

Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.

关键词： Optimization

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Exploring the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors Using Artificial Neural Networks at Watershed Scale

SSRN

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SSRN 2024年

作者： Soares, Mauricio Fornalski Nunes, Romulo Félix Siqueira, Tirzah Moreira Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva She, Dongli Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul Pelotas96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo São Paulo Piracicaba Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do Leão96010-900 Brazil College of Agricultural Sciences and Engineering Hohai University Nanjing210098 China Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Ri o Grande do Sul CEP Capão do Leão96010-900 Brazil

Saturated hydraulic conductivity (KSat) is a key soil attribute that influences hydrological processes at multiple scales. It is well known that KSat is difficult to measure in the field. Field KSat measurement requires time and expensive equipment, skilled labor, and due to the variability of KSat, many samples are required. Artificial neural networks (ANNs) are powerful non-linear mathematical models that can estimate KSat from different soil and environmental input variables as well as using dimensionless variables generated using database resizing techniques via principal component analysis (PCA). Our main goal is to construct artificial neural network models for predicting KSat using soil and different land uses as input variables at a watershed scale. The study area is the Eller Creek watershed of about 0.7 km2 in southern Brazil, in which we established an experimental grid of 178 sampling points. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original dataset and two selected PCs were included as input variables for ANN modeling. Our results suggest that PC inclusion as input parameters, collectively or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models using only the original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated with soil hydrological and environmental covariates, but also to PCs which are orthogonal linear recombinations that encapsulate the main sources of variation of the original datasets. © 2024, The Authors. All rights reserved.

关键词： Soils

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The definition of sng: The expert consensus by the sng taxonomy Task force of the Taiwan sng Society

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Journal of the Formosan Medical Association 2025年

作者： Han, Der-Sheng Lin, Jiann-Her Hung, Chih-Hsien Huang, Shuping Chen, Jen-Yin Chiang, Yung-Hsiao Chiu, Hsiao-Yean Chou, Li-Wei Hsieh, Cheng-Ta Huang, Ming-Chyi Huang, Wei-Lieh Kang, Jiunn-Horng Lee, Hsun-Hua Lin, Chia-Shu Lin, Chien-Min Lin, Chih-Peng Lin, Ying-Tung Liu, Yen-Chin Ro, Long-Sun Shen, Chiung-Chyi Su, Lily I-Wen Su, Yu-Jih Sun, Jui-Ming Sung, Jia-Ying Tsai, Rong-Kung Wang, Man-Ling Wen, Yeong-Ray Weng, Hao-Jui Wu, Ming-Shun Yu, Yu-Wen Hsieh, Sung-Tsang Wang, Shuu-Jiun Sun, Wei-Zen Chen, Chih-Cheng Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Beihu Branch Taipei Taiwan Department of Physical Medicine and Rehabilitation National Taiwan University College of Medicine Taipei Taiwan Division of Neurosurgery Department of Surgery Taipei Medical University Hospital Taipei Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Taipei Neuroscience Institute Taipei Medical University Taipei Taiwan TMU Research Center of Neuroscience Taipei Medical University Taipei Taiwan Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Foreign Languages and Literature National Sun Yat-sen University Kaohsiung Taiwan Department of Anesthesiology Chi Mei Medical Center Tainan Taiwan School of Medicine College of Medicine National Sun Yat-sen University Kaohsiung Taiwan School of Nursing College of Nursing Taipei Medical University Taipei Taiwan Department of Nursing Taipei Medical University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation China Medical University Hospital Taichung Taiwan Department of Physical Medicine and Rehabilitation Asia University Hospital Asia University Taichung Taiwan Department of Physical Therapy and Graduate Institute of Rehabilitation Science China Medical University Taichung Taiwan Division of Neurosurgery Department of Surgery Cathay General Hospital Taipei Taiwan School of Medicine National Tsing-Hua University Hsinchu Taiwan Department of Medicine School of Medicine Fu Jen Catholic University New Taipei City Taiwan Department of Psychiatry Taipei City Psychiatric Center Taipei City Hospital Taipei Taiwan Department of Psychiatry National Taiwan University Hospital Yunlin Branch Yunlin Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taip

“Sng” is a Taiwanese term describing a distinct state of soreness. Accumulating evidence indicates that sng is a specific somatosensory modality, independent of pain, with distinct receptors and transduction pathways. In recent years, variations in its presentation across different medical specialties have highlighted the need for a standardized definition of sng-related terminology. To address this, the Taiwan Sng Society established a multidisciplinary Sng Taxonomy Task Force, comprising 32 experts in both clinical and basic sciences related to sng. Here we summarize the discussions and expert consensus from the Task Force. A total of 16 sng-related terminology was defined. The first edition of sng terminology aims to establish a clear, standardized framework for the clinical practice and research of sng. © 2025 Formosan Medical Association

关键词： Definition sng Sngception Taxonomy Terminology

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Artificial Neural Network Models to Examine the Relationship between Saturated Soil Hydraulic Conductivity and Co-Driven Factors at the Watershed Scale

SSRN

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SSRN 2023年

作者： Soares, Mauricio Fornalski Siqueira, Tirzah Moreira Nunes, Romulo Félix Pedrollo, Olavo Correa Reichardt, Klaus Barros, Willian Silva Timm, Luís Carlos Water Resources Post-Graduate Program Center of Technological Development Federal University of Pelotas Campus Porto Rua Gomes Carneiro n. 01 Rio Grande do Sul PelotasCEP: 96010-610 Brazil Center of Engineering Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Soil and Water Management and Conservation Post-Graduate Program Faculty of Agronomy Federal University of Pelotas Rio Grande do Sul Pelotas Brazil Hydraulic Researchs Institute Federal University of Rio Grande do Sul Rio Grande do Sul Porto Alegre Brazil Soil Physics Laboratory CENA Department of Crop Production ESALQ University of São Paulo Piracicaba São Paulo Brazil Department of Statistics Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil Department of Rural Engineering Faculty of Agronomy Federal University of Pelotas Campus Universitário s/n Rio Grande do Sul Capão do LeãoCEP: 96010-900 Brazil

Saturated soil hydraulic conductivity (KSat) is a key soil attribute that affects hydrological processes in the soil surface layer. It is well known that KSat is difficult to be obtained in the field, requires time and expensive equipment, skilled labor and, due to its variability, requires many samples and can hardly be extrapolated. Artificial neural networks (ANNs) are powerful no-linear mathematical models to estimate KSat from different soil hydro-physical and environmental input variables as well as by using dimensionless variables generated by database resizing techniques from principal component analyses (PCA). The present study aimed to construct artificial neural network models for predicting KSat using soil attributes and different land uses as input variables at a watershed scale. The study was carried out in the Ellert Creek watershed of about 0.7 km2, Brazil, in which an experimental grid consisted of 178 sampling points was established. Data of soil bulk density, total porosity, microporosity, macroporosity, soil organic carbon content, sand, silt and clay, and KSat were determined at each point in the 0-20 cm layer. A land-use map was derived from satellite images and used to identify the land use around each soil sampling point. PCA was applied to the original data set and selected PCs were used as input variables for ANN modeling. Two PCs were selected and the results suggest that their inclusion as input parameters, both or individually, combined with the original data, increased the performance of the analyzed ANN models, when compared to similar models with only original data and without PCs. The use of ANN models showed that the variation of KSat in the ECW watershed is not only associated to soil hydrological and environment covariates, but also to PCs which are orthogonal linear recombinations that resume the main sources of variation of the original data sets. © 2023, The Authors. All rights reserved.

关键词： Soils

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Self-Compassion Around the World: Measurement Invariance of the Short Form of the Self-Compassion Scale (SCS-SF) Across 65 Nations, 40 Languages, Gender Identities, and Age Groups

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Mindfulness 2025年 1-28页

作者： Swami, Viren Tran, Ulrich S. Voracek, Martin Aavik, Toivo Ranjbar, Hamed Abdollahpour Adebayo, Sulaiman Olanrewaju Afhami, Reza Ahmed, Oli Aimé, Annie Akel, Marwan Al Halbusi, Hussam Alexias, George Ali, Khawla F. Alp-Dal, Nursel Alsalhani, Anas B. Álvarez-Solas, Sara Amaral, Ana Carolina Soares Andrianto, Sonny Aspden, Trefor Argyrides, Marios Aruta, John Jamir Benzon R. Atkin, Stephen Ayandele, Olusola Baceviciene, Migle Bahbouh, Radvan Ballesio, Andrea Barron, David Bellard, Ashleigh Bender, Sóley Sesselja Beydaǧ, Kerime Derya Birovljević, Gorana Blackburn, Marie-Ève Borja-Alvarez, Teresita Borowiec, Joanna Bozogáňová, Miroslava Bratland-Sanda, Solfrid Browning, Matthew H. E. M. Brytek-Matera, Anna Burakova, Marina Çakır-Koçak, Yeliz Camacho, Pablo Camilleri, Vittorio Emanuele Cazzato, Valentina Cerea, Silvia Chaiwutikornwanich, Apitchaya Chaleeraktrakoon, Trawin Chambers, Tim Chen, Qing-Wei Chen, Xin Chien, Chin-Lung Chobthamkit, Phatthanakit Choompunuch, Bovornpot Compte, Emilio J. Corrigan, Jennifer Cosmas, Getrude Cowden, Richard G. Czepczor-Bernat, Kamila Czub, Marcin da Silva, Wanderson Roberto Dadfar, Mahboubeh Dalley, Simon E. Dany, Lionel Datu, Jesus Alfonso D. de Carvalho, Pedro Henrique Berbert de Holanda Coelho, Gabriel Lins De Jesus, Avila Odia S. Debbabi, Sonia Harzallah Dhakal, Sandesh Di Bernardo, Francesca Dimitrova, Donka D. Dion, Jacinthe Dixson, Barnaby Donofrio, Stacey M. Drysch, Marius Du, Hongfei Dzhambov, Angel M. El-Jor, Claire Enea, Violeta Eskin, Mehmet Farbod, Farinaz Farrugia, Lorleen Fian, Leonie Fisher, Maryanne L. Folwarczny, Michał Frederick, David A. Fuller-Tyszkiewicz, Matthew Furnham, Adrian García, Antonio Alías Geller, Shulamit Ghisi, Marta Ghorbani, Alireza Martinez, Maria Angeles Gomez Gradidge, Sarah Graf, Sylvie Grano, Caterina Gyene, Gyöngyvér Hallit, Souheil Hamdan, Motasem Handelzalts, Jonathan E. Hanel, Paul H. P. Hawks, Steven R. Hekmati, Issa Helmy, Mai Hill, Tetiana Hina, Farah Holenweger, Geraldine Hřebíčková, Martina Ijabadeniyi, Olasupo Augustine Imam, Asma İ School of Psychology and Sport Science Anglia Ruskin University Cambridge United Kingdom Centre for Psychological Medicine Perdana University Kuala Lumpur Malaysia Department of Cognition Emotion and Methods in Psychology Faculty of Psychology University of Vienna Vienna Austria Institute of Psychology University of Tartu Tartu Estonia Department of Psychology Istinye University Istanbul Turkey Department of Psychology and Behavioural Studies Ekiti State University Ado-Ekiti Nigeria Department of Art Studies Tarbiat Modares University Tehran Iran Department of Psychology University of Chittagong Chattogram Bangladesh Department of Psychoeducation and Psychology Université du Québec en Outaouais Saint-Jérôme Canada INSPECT-LB: National Institute of Public Health Clinical Epidemiology and Toxicology Beirut Lebanon School of Pharmacy Lebanese International University Beirut Lebanon Department of Management Ahmed Bin Mohammad Military College Doha Qatar Faculty of Psychology Panteion University of Social and Political Sciences Athens Greece Royal College of Surgeons Ireland-Bahrain Adliya Bahrain Department of Midwifery Faculty of Health Sciences Munzur University Tunceli Turkey Department of Oral Medicine and Diagnostic Sciences Vision College of Dentistry and Nursing Vision Colleges Riyadh Saudi Arabia Facultad de Salud Universidad Internacional de La Rioja Logroño Spain Science and Technology of Southeast Minas Gerais Federal Institute of Education Barbacena Brazil Department of Psychology Universitas Islam Indonesia Yogyakarta Indonesia Department of Psychology Aberystwyth University Ceredigion United Kingdom Department of Psychology Neapolis University Pafos Paphos Cyprus Department of Psychology De La Salle University Manila Philippines Department of General Studies The Polytechnic Ibadan Nigeria Department of Psychology University of Ibadan Ibadan Nigeria Health Research and Innovation Science Centre Faculty of Health Sciences Klai

Objectives: The 12-item Self-Compassion Scale–Short Form (SCS–SF) is a widely used instrument for the assessment of self-compassion. To date, there have been few examinations of this instrument’s psychometric properties, particularly across nations and languages. Therefore, we used data from the Body Image in Nature Survey (BINS) to assess measurement invariance of the SCS–SF across nations, languages, gender identities, and age groups. Methods: Participants (N = 56,968) from 65 nations completed the SCS–SF in 40 languages. Using these data, we tested various hypothesised models of the SCS–SF in the total sample and, using multi-group confirmatory factor analysis, tested for invariance of the optimal model across national groups, languages, gender identities, and age groups. Results: In the total dataset, we found that an 11-item, 2-factor model (i.e., SCS-11) provided best fit to the data, with the two factors tapping distinct constructs of compassionate and uncompassionate self-responding. The SCS-11 was found to be partially scalar invariant across national groups and languages, and fully scalar invariant across gender identities and age groups. There was wide variation in latent means for the two factors, particularly across national groups and languages. Further analyses showed negligible associations between the two factors and sociodemographic variables, including marital status, financial security, and urbanicity. Conclusions: Our results suggest that it may be possible to derive a stable 2-factor model of the SCS–SF for use in cross-cultural research, but also highlight the likelihood of cross-national and cross-linguistic variations in the way that self-compassion is understood. © The Author(s) 2025.

关键词： Cross-cultural Measurement invariance Multi-group confirmatory factor analysis (MG-CFA) Self-Compassion Scale Short Form

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Analysis of Lead (Pb) and Zinc (Zn) Content in Sediments and Faunus ater at Bale Lhoknga Aceh Besar District

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Journal of Physics: Conference Series 2019年第1期1232卷

作者： Rahmi Agustina M. Ali Sarong Fredinan Yulianda Suhendrayatna Rahmadi Lelifajri Graduate School of Mathematics and Applied Sciences Syiah Kuala University Banda Aceh Indonesia 23111 Departement of Biology Faculty of Teacher Training and Education Jabal Ghafur University Sigli Indonesia 24171 Departement of Biology Faculty of Teacher Training and Education Syiah Kuala University Banda Aceh Indonesia 23111 Departement of Water Resources Management Faculty of Fisheries and Marine Sciences Bogor Agricultural University Bogor Indonesia 16680 Department of Chemical Engineering Faculty of Engineering Syiah Kuala University Banda Aceh Indonesia 23111 Department of Chemistry Faculty of Mathematics and Science Post Graduate Program Syiah Kuala University Banda Aceh Indonesia 23111

Faunus ater is a favoritemollusca that is often found on the Bale River. Local people use these snails as food for consumption along with their main food. Bale River itself is located adjacent to the cement factory, used water washing machines distributed to the river is feared to support the presence of lead (Pb) and zinc (Zn) metals in the river. This study aims to analyze the relationship of Pb and Zn content in sediments to the content of Pb and Zn in Faunus ater. Data collection was carried out in Februari until April 2018. The relationship between Pb and Zn content in sediments with Pb and Zn content in the body of Faunus ater was analyzed by correlation analysis. The results of the data analysis showed that the metal content of Pb and Zn in sediment and Faunus aterwere found to vary. The highest Pb content in sediment was found at station 2 in March, amounting to 32.87 mg / kg. while the highest Zn content was found at station 1 in March amounting to 84 mg / kg. The relationship of heavy metals Pb and Zn in sediments to the content of Pb and Zn in the body of Faunus ater showed a negative correlation. The conclusion of this study is that there is no correlation between the content of Pb and Zn heavy metals in sediments on the content of lead Pb and Zn in the body of Faunus ater at the Bale Lhoknga River in Aceh Besar District.

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Analysis of supply chain risk mitigation integrated with fuzzy logic, house of risk and AHP (Case study at CV. Multiguna)

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AIP Conference Proceedings 2019年第1期2097卷

作者： Ari Andriyas Puji Agus Mansur Imam Djati Widodo 1Post Graduate Program Industrial Management Department Faculty of Industrial Technology Islamic University of Indonesia Jalan Kaliurang KM 145 Umbulmartani Ngemplak Krawitan Umbulmartani Ngemplak Kabupaten Sleman Daerah Istimewa Yogyakarta 55584 Indonesia 2Industrial Engineering Department Faculty of Industrial Technology Islamic University of Indonesia Jalan Kaliurang KM 145 Umbulmartani Ngemplak Krawitan Umbulmartani Ngemplak Kabupaten Sleman Daerah Istimewa Yogyakarta 55584 Indonesia

Risks are potential to be incurred in the supply chain *** risk management is indispensable for handling therisk. The research was carried out in the CV. Multiguna in Krikilan, Sariharjo, ngaglik, Sleman, Yogyakarta, 55581. In the process of the supply chain at CV. Multiguna had chances onset of ***, it is necessary to identify risks and design mitigation. This research was conducted using fuzzy logic approach, house of risk and AHP. House of risk model consists of two phases. The first phase covers risk identification and risk agents. The calculation of the value of aggregate risk on ARP priority is done by using fuzzy logic approach to measure the severity and occurrence. From the interviews and discussions that resulted in supply chain activity at CV. Multiguna, there are 18 events and 16 identified agent risks and relevant risks. Pareto diagram of the results obtained 5 selected risk agents with ratio of 60:40 in order to focus on risk mitigation actions. After conducting discussions and interviews, it was obtained 10 preventive actions as the input value for house of risk phase 2. The mapping from House of risk phase 2 resulted10 mitigation options, according to the value of ETD (effectiveness to difficulty). Then, the 10 mitigation options are reprocessed using the AHP. AHP is used to determine priorities based on preference of policy’s makers with some criteria. From AHP processing, it was obtained the consistency value as 0.09 and this value was considered valid for CR <0.1. Alternative complement negotiation for supporting the infrastructure was elected as the first priority with a value of 0.160, mitigation alternative treatments was followed by the regular machine maintenance with a value of 0.143 and eight other alternatives are ordered from large to small.

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Electronic nose in differentiating and ascertaining clinical status among patients with pulmonary nontuberculous mycobacteria: A prospective multicenter study

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The Journal of infection 2023年第3期87卷 255-258页

作者： Meng-Rui Lee Hung-Ling Huang Wei-Chang Huang Shang-Yu Wu Pang-Chun Liu Jui-Ching Wu Meng-Hsuan Cheng Chau-Chyun Sheu Kea-Tiong Tang Jann-Yuan Wang Chao-Chi Ho Jin-Yuan Shih Inn-Wen Chong Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan. Department of Internal Medicine Kaohsiung Municipal Ta-Tung Hospital Kaohsiung Taiwan Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan. Division of Chest Medicine Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan Department of Post-Baccalaureate Medicine College of Medicine National Chung Hsing University Taichung Taiwan Mycobacteria Center of Excellence Department of Internal Medicine Taichung Veterans General Hospital Taichung Taiwan School of Medicine Chung Shan Medical University Taichung 402 Taiwan Ph.D. Program in Translational Medicine National Chung Hsing University Taichung 402 Taiwan Department of Medical Technology Jen-Teh Junior College of Medicine Nursing and Management Miaoli Taiwan. Department. of Electrical Engineering National Tsing Hua University Hsinchu Taiwan. Division of Pulmonary and Critical Care Medicine Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Taiwan. Department. of Electrical Engineering National Tsing Hua University Hsinchu Taiwan. Electronic address: kttang@ee.nthu.edu.tw. Department of Internal Medicine National Taiwan University Hospital Taipei Taiwan. Electronic address: jywang@ntu.edu.tw. Graduate Institute of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Respiratory Therapy Kaohsiung Medical University Hospital Kaohsiung Taiwan Department of Biological Science & Technology National Chiao Tung University Hsin-Chu Taiwan.

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