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The disruptive potential of importance-performance eduruption and transforming consumerism in single-used plastic reduction initiatives

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Cleaner and Responsible Consumption 2024年 14卷

作者： Suryawan, I Wayan Koko Fitria, Laili Ulhasanah, Nova Septiariva, Iva Yenis Prayogo, Wisnu Suhardono, Sapta Sari, Mega Mutiara Aji, Angga Dheta Shirajjudin Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Department of Natural Resources and Environmental Studies College of Environmental Studies and Oceanography National Dong Hwa University Hualien 97401 Taiwan Department of Environmental Engineering Universitas Tanjungpura Pontianak 78124 Indonesia Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan Indonesia Environmental Sciences Study Program Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta 57126 Indonesia Department of Environmental Engineering Brawijaya University Malang 65141 Indonesia

In an era demanding sustainable consumption, the challenge of single-used plastic (SUP) remains significant. This study delves into the transformative capacity of the Importance-Performance Eduruption method to reshape consumerism and encourage SUP reduction. Drawing on binary choice models, we elucidated the determinants influencing students' willingness to participate in SUP reduction initiatives. Beyond the quantitative metrics, the study highlighted the deep-seated influence of educational methods. Applied learning strategies like Problem-Based and Project-Based Learning emerged as influential touchpoints, aligning students with sustainable habits. Simultaneously, the importance-performance analysis revealed areas needing immediate intervention, notably research-oriented methods. Our findings spotlight the influential role education plays in driving sustainable consumer behavior. By integrating importance-performance insights into curriculum planning and broader policy frameworks, stakeholders can more effectively harness the disruptive potential of education to further the goals of Sustainable Development Goal 12 and create a more sustainable future. © 2024 The Authors

关键词： Consumer behavior Educational Transformation Eduruption Importance-performance analysis SDG 12 Single used plastics Sustainable consumption

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Integer programming Approaches to an Issue of Scheduling for a Truck-Drone Last-Mile Delivery System with Parcel Pickup Service

Integer Programming Approaches to an Issue of Scheduling for...

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International Symposium on Soft Computing and Intelligent Systems (SCIS)

作者： Kotaro Yamada Yoshiyuki Karuno Hitoshi Iima Mechanodesign Program Graduate School of Science and Technology Kyoto Institute of Technology Kyoto Japan Faculty of Mechanical Engineering Kyoto Institute of Technology Kyoto Japan Faculty of Information and Human Sciences Kyoto Institute of Technology Kyoto Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

In this paper, we consider a scheduling issue for parcel delivery and pickup services by a truck-drone last-mile delivery system. We are given a single carrier truck and multiple identical drones to serve a finite set of customers. The single carrier truck plays the role of a mobile depot for the drones, and it visits several stops in a given order of them. The given order of stops constitutes a fixed truck route, and the carrier truck is allowed to launch (resp., to retrieve) a drone to (resp., from) a customer at a stop. For each sortie of a drone, the launching stop and the retrieving stop must be the same. The load capacity of a drone is limited to one, and for a sortie of a drone at a stop, there are three options: (i) only deliver a parcel to a customer, (ii) only pick up a parcel from a customer, and (iii) deliver a parcel to a customer, and then pick up a parcel from a customer. The scheduling problem asks to find an assignment of customers to drones with sortie options and a choice of a truck stop for each sortie in the assignment. The objective is to minimize the total duration of the carrier truck over all the stops, which is equivalent to minimizing the makespan. In this paper, we first propose an extended integer program for the case with both delivery and pickup services from an existing one for the case with delivery service only. We also conduct numerical experiments to demonstrate the solution quality of the proposed integer program by utilizing an integer programming solver, and report the results.

关键词： Integer programming Heuristic algorithms programming Batteries Drones Logistics

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The Scientific Progress and Prospects of Artificial Intelligence for Cancer Detection: A Bibliometric Analysis 24

The Scientific Progress and Prospects of Artificial Intellig...

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24th International Seminar on Intelligent Technology and Its Applications, ISITIA 2023

作者： Maulana, Fairuz Iqbal Adi, Puput Dani Prasetyo Lestari, Dian Ariyanto, Sandy Vikki Purnomo, Agung Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia National Research and Innovation Agency Telecommunication Research Center Jakarta11480 Indonesia Universitas Airlangga Faculty of Medicine Surabaya60132 Indonesia University of Madura Informatics Engineering Study Program Pamekasan Indonesia Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta11480 Indonesia

ISBN: (纸本)9798350313956

Using the Scopus database, this study aims to investigate the use of artificial intelligence for cancer detection in the last ten years from 2013 to 2022. The researchers used bibliometric analysis combined with VosViewer and Rstudio software quantification method for literature analysis. The results of the flushed articles show data such as publication year, journal, country, keywords, and authors, to the highest number of citations. Common keywords used by researchers are artificial intelligence, medical, and human. Researchers limited the findings through keywords such as in the last ten years, documents are journals, and English only so that 1868 articles were obtained. The results found that Harvard Medical School affiliation had the highest number of articles, with 101 articles, by subject area, Medicine had a proportion of 41.9% (n=1320). This bibliometric study will be useful for other researchers to examine the development of research on Artificial Intelligence for Cancer Detection in the last ten years. © 2023 IEEE.

关键词： Diseases

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The risk analysis of rice husk of co-firing fuel for boilers in sugar mills 2

The risk analysis of rice husk of co-firing fuel for boilers...

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2nd International Conference on Vocational Education of mechanical and Automotive Technology, ICoVEMAT 2019

作者： Yunaidi Surahmanto, F. Harnowo, S. Mechanical Engineering Study Program Politeknik LPP Yogyakarta Indonesia Department of Mechanical Engineering Education Universitas Negeri Yogyakarta Indonesia

Biomass is a very important energy source in the sugar mill industry as the main fuel in the power plant boilers. The efficiency of boilers for most sugar mills in Indonesia is quite low and the availability of bagasse is lacking so that in its operations, co-firing has to be applied with an alternative biomass fuels such as rice husk, cane trash, wood and saw dust. Based on the analysis, rice husk has a lower calorific (3248 cal/gr) value than that of bagasse (4076 cal/gr), but it has a higher ash content (20.67%) than that of bagasse (3.66%), so adjustments in boiler operation is required when using rice husk as co-firing. The higher ash content in biomass can affect the performance of the furnace and superheater in the boiler and increase the potential for deposit formation. The composition of rice husk ash was dominated by silica (SiO2) which reached 95.52%. It is higher than the silica content of bagasse which reached 74.99%. The high silica content in rice husks has the potential to conduce melting ash in boiler grate. The alkali content of rice husk which was around 3.64% is less than that found in bagasse which reached 17.33%. Even though, the ash composition analysis shows quite small potential for slagging, fouling, melting, sintering, and agglomeration, but the large amount of ash content in rice husks can increase the potential for the occurrence of the risks. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Bagasse

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study of the effect of dynamic viscosity on the performance of a portable microinjector for severe dry eye treatment using a glycerol-water mixture as a test fluid 11

Study of the effect of dynamic viscosity on the performance ...

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11th International Congress of Physics engineering, CIIF 2021

作者： Babakidi, Narcisse Meni Gamboa, Gonzalo Viramontes Ibarra Bracamontes, Laura Alicia Reyes, Israel Luna Graduate Program in Physical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia58000 Mexico Faculty of Mechanical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia58000 Mexico Faculty of Electrical Engineering Universidad Michoacana de San Nicolás de Hidalgo 403 Santiago Tapia Morelia58000 Mexico

This article presents the experimental results of a series of performance tests performed on a microinjector designed to deliver different artificial tear solutions to patients with severe dry eye syndrome. The device is intended to aid in the treatment of this syndrome by providing a continuous injection of artificial tears as needed that overcomes many of the deficiencies inherent in dripping from the manual method. In this work, a set of experiments were carried out to quantify the temporal error that allow determining the dynamic behavior of the viscosity of the glycerol/water mixture as a suitable test solution for the device and then comparing it with the use of commercial artificial tears to define an acceptable viscosity range with a lower temporal error for the correct operation of the system. The experimental method of viscosity measurement was used by means of an Ostwald viscometer that allows determining the times that flow the volume of various percentages by volume of glycerol/water and drops. In addition, the gravimetric density method was used to determine the density and subsequently by the Poiseuille relationship with respect to the densities of percentages in volume of glycerol/water and drops, the different times that flow through a capillary tube, the dynamic viscosity. The results obtained during the operation of the tested microinjector suggest that the microinjector can function correctly without problem in a range of evaluated dynamic viscosity of 1 to 1500 mP a.s with a maximum temporal error of ∼5 %. The temporal error evaluated is a parameter that is necessary to know for the well-being of patients using this device and the viscosities of the products used do not significantly influence the performance of the microinjector. © 2022 Published under licence by IOP Publishing Ltd.

关键词： Viscosity

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Diabetes Prediction Model for Better Clarification by using Machine Learning 6

Diabetes Prediction Model for Better Clarification by using ...

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6th International Conference on Inventive Computation Technologies, ICICT 2023

作者： Eben, J. Lysa Jayasudha, R. Ramya, S. Kaliappan, S. Aswal, Shobha Al-Salehi, Khalid Ali Salem Department of Computer Applications School of Computing Sciences Vels Institute of Science Technology and Advanced Studies Tamilnadu Chennai India Department of Mathematics Dr.N.G.P.Institute of Technology Coimbatore India Department of Computer Science and Engineering Kongu Engineering College Tamilnadu Erode India Division of Research and Development Lovely Professional University Punjab Phagwara144411 India School of Computing Graphic Era Hill University Dehradun India Biomedical Engineering Study Program Faculty of Science and Technology Airlangga University Surabaya Indonesia

ISBN: (纸本)9798350398496

Diabetes mellitus is one of the most pressing health concerns because so many people are afflicted by its disabling symptoms. Factors such as age, excess body fat, insufficient physical activity, a history of diabetes in one's family, a sedentary lifestyle, an unhealthy diet, hypertension, etc., all increase the likelihood of developing diabetes mellitus. Health complications are more common in people with diabetes, including cardiovascular disease, renal failure, stroke, blindness, and nerve injury. To validate a diagnosis of diabetes, hospitals typically perform a battery of procedures on the patient. Big data analytics has many vital applications in the healthcare sector. Numerous large computer systems are used in the healthcare sector. With the help of big data analytics, researchers can sift through mountains of data in search of previously unseen patterns and insights. Current techniques have a poor degree of precision in classification and forecast. While previous research has focused on factors such as glucose, body mass index, age, insulin, etc., the proposed model takes these into account and also the other factors that may be more relevant to the development of diabetes. The newer sample is superior to the older one based on categorization accuracy. A workflow algorithm for diabetes prognosis is also required to improve the accuracy. © 2023 IEEE.

关键词： Forecasting

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Synergistic sodium alginate- and biochar-immobilized cells for enhancing fermentative hydrogen production from food waste

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Environmental Science and Pollution Research 2024年第56期31卷 64524-64533页

作者： Ngamnurak, Phonsini Plangklang, Pensri Pomdaeng, Prakaidao Ko, Ting-Wu Reungsang, Alissara Chu, Chen-Yeon Graduate School Khon Kaen University Khon Kaen40002 Thailand Department of Biology Technology Faculty of Technology Khon Kaen University Khon Kaen40002 Thailand Research Group for Development of Microbial Hydrogen Production Process From Biomass Khon Kaen University Khon Kaen40002 Thailand Institute of Green Products Feng Chia University Taichung Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung Taiwan Master’s Program of Green Energy Science and Technology Feng Chia University Taichung Taiwan Academy of Science Royal Society of Thailand Bangkok10300 Thailand

An immobilized hydrogen-producing consortium investigated biohydrogen production from food waste using a combination of sodium alginate and cassava rhizome biochar. We investigated the effect of varying the biochar concentration from 0 to 3% and the size of immobilized cells from 1 to 7 mm. Immobilized cells were prepared using 50% (v/v) enriched hydrogen-producing consortium, 2% (w/v) sodium alginate, and 0 to 3% (w/v) cassava rhizome biochar. The optimal conditions for achieving the highest hydrogen production in the batch fermentation reactor were identified as a biochar concentration of 2% (w/v) and an immobilized cell size of 2 mm. The highest hydrogen yield, maximum hydrogen production rate, and lag time recorded were 0.69 mmol H2/g-COD, 0.02 mmol H2/g-COD.h, and 41.51 h, respectively. This research highlights the potential of cassava biochar technology for efficient biohydrogen production from food waste, contributing to renewable energy generation and sustainable waste management. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Anaerobic digestion

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The study of Sedimentation at Jongkong Reservoir in District Central of Bangka through Erosion of Catchment Area 4

The Study of Sedimentation at Jongkong Reservoir in District...

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4th International Conference on Science, Infrastructure Technology and Regional Development, ICoSITeR 2019

作者： Maini, Miskar Mashuri Civil Engineering Study Program Faculty of Infrastructure and Regional Engineering Institut Teknologi Sumatera Indonesia

Jongkong reservoir creates a reservoir of water that is used for the purposes of raw water as fundamental media for improvement of drinking water production especially at dry season for the District of Koba. The advantage of being able to hold water in wet season and releasing it in dry season will be detained if the life storage of the reservoir can be utilized effectively, but sedimentation problem will decrease its volume which can influence the life time of reservoir. Finally the reservoir becomes less effective, so it is very important to study. The method which is used to predict an average erosion rate in the catchment area considers factors of rain erosivity, soil erodibility, ground inclination of slope or slope length, management of crop and land, soil conservation. Calculation was done by using the USLE equation (Universal Soil Loss Equation) which was developed by Wischmeier and Smith (1965, 1978). From this research result, the prediction of surface erosion rate in the basin catchment area in the year 2019 is equal to 53.20 mm/year or equivalent with 62,491.92 m3/year, and the value of Sediment Delivery Ratio (SDR) is equal to 32,28 %. The number of material which eroded is equal to 957.59 Ton/Ha/year so it is classified into the medium erosion class category. The dead storage of 5% of the the volume of the reservoir cage will be fully charged in the year 2022 or for 3 The next year and the total volume of the reservoir Ridge will be full of sediment in the year 2062 or 43 years. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Reservoirs (water)

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning

Java Bali Grid Mean Time To Failure Prediction using Machine...

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Technology, engineering, and Computing Applications (ICTECA), International Conference on

作者： Priyo Adi Sesotyo M.M. Lanny W. Pandjaitan Lukas Professional Engineer Study Program Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Electrical Engineering Dept. Universitas Semarang Semarang Indonesia Electrical Engineering Master Program Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali’s region shows the higher accuracy when the R2 shows highest value.

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Chemical compounds in essential oil of nutmeg leaves (Myristica fragrans) from Batang Indonesia 10

Chemical compounds in essential oil of nutmeg leaves (Myrist...

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10th International Seminar on New Paradigm and Innovation of Natural Sciences and itsApplication, ISNPINSA 2020

作者： Kusumaningrum, H.P. Zainuri, M. Endrawati, H. Loka, B.D. Widiasa, I.N. Sulistyowati, E. Laboratory of Biotechnology Study Program of Biotechnology Faculty of Science and Mathematics Universitas Diponegoro Semarang Indonesia Laboratory of Oceanography Department of Oceanography Food Technology Department Faculty of Animal and Agricultural Sciences Diponegoro University Indonesia Chemical Engineering Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia Architecture Department Faculty of Engineering Universitas Diponegoro Semarang Indonesia

Nutmeg oil has an important function as natural tropical biomedicine activity which commonly found in Batang region. This essential oil is one of the dominant traditional export product from Batang instead of patchouli oil, Clove oil, and lemongrass oil. The objective of the research was to analyze chemical compound of essential oil of nutmeg leaves from Batang region produced by traditional destillation. Research methods was conducted by GCMS method. The biomedical activity against some tropical diseases was analysed in-silico. The results showed that essential oil from nutmeg leaves showed potential antimicroabial activities in silico againts several tropical diseases in skin. The GCMS result showed 2-.BETA.-PINENE and .gamma.-Terpinene as the major compound with values 34,46% and 30,28%. © Published under licence by IOP Publishing Ltd.

关键词： Essential oils

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