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2023 International Conference on Computer science, Information technology and Engineering, ICCoSITE 2023

作者： Siswanto, Boby Soeparno, Haryono Sianipar, Nesti F. Budiharto, Widodo Bina Nusantara University BINUS Graduate Program- Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University Engineering Faculty Food Technology Department Jakarta Indonesia Bina Nusantara University School of Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350320954

Cardiovascular disease is one of the dangerous non-communicable disorders or diseases that has become one of the causes of death worldwide. Various studies have been conducted to prevent cardiovascular disease in the world. This study analyzed cardiovascular disease medical record data from the Kaggle public dataset by implementing correlational analysis combined with association rule mining to identify variables that are the predominant cause of cardiovascular disease. Correlational analysis can analyze the interrelationships between variables in a dataset, but not in depth. Association rule mining can identify the interrelationships of variables in the form of frequent item sets, which can be calculated for their support and confidence values. The result of this study is a combination of correlation analysis with association rule mining that can identify predominant variables to cause cardiovascular disease. Found that the variable gender=woman, height=short ( © 2023 IEEE.

关键词： Association rules

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What are the Levels of Polyphenols in Brazilian Meals? An Estimate Based on the Degree of food Processing (Nova Classification)

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SSRN 2024年

作者： Grigol, Eduarda Camila Bau Noronha, Luana Alberti Arruda, Giovana Eduarda Ranzi, Maria Eduarda Koehnlein, Eloá Angélica Federal University of Fronteira Sul Realeza Brazil Post-Graduate Program in Food Science and Technology Federal University of Fronteira Sul Laranjeiras do Sul Brazil

Considering the importance of polyphenol intake in reducing the risk of non-communicable chronic diseases, it is essential to encourage populations around the world, especially in Brazil, to consume foods that increase the presence of these compounds in their diet. This study aimed to identify the foods with the highest total polyphenol content and classes consumed by the Brazilian population, as well as their degree of processing. The study was conducted using secondary data collected from the 2017-2018 Household Budget Survey, which included the actual per capita food consumption of the Brazilian population and the usual portion size of foods. The investigation focused on 41 food items with the highest consumption frequency. Estimates of the total polyphenol (TP) content and classes in the foods were obtained from the Phenol-Explorer database, and the degree of food processing was classified according to the NOVA classification. Based on the ranking of the main foods consumed by Brazilians with the highest total polyphenol (TP) content, coffee (169.527 mg) and beans (38.422 mg) stood out for the average per capita consumption, while corn and its preparations (187.250 mg) and oranges (72.683 mg) stood out when analyzing the portion consumed in a single occasion. Regarding the polyphenol classes, the foods with the highest amounts consumed by Brazilians predominantly contained phenolic acids. Concerning the degree of processing, based on the NOVA classification, 76% of the foods with the highest polyphenol levels belonged to the fresh and minimally processed food category, while 15% corresponded to ultra-processed foods. It is essential to encourage the consumption of traditional foods in the Brazilian diet, as these are important sources of polyphenols. It is worth emphasizing the relevance of in natura and minimally processed foods as the basis of the Brazilian diet, mainly concerning the total polyphenol contents. © 2024, The Authors. All rights reserved.

关键词： food chemistry

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Fabrication of versatile poly(xylitol sebacate)-co-poly(ethylene glycol) hydrogels through multifunctional crosslinkers and dynamic bonds for wound healing

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Acta Biomaterialia 2023年 170卷 344-359页

作者： Yeh, Ying-Yu Lin, Yi-Yun Wang, Ting-Teng Yeh, Yu-Jia Chiu, Ting-Hsiang Wang, Reuben Bai, Meng-Yi Yeh, Yi-Cheun Institute of Polymer Science and Engineering National Taiwan University Taipei Taiwan Institute of Biomedical Engineering National Taiwan University Taipei Taiwan Biomedical Engineering Program Graduate Institute of Applied Science and Technology National Taiwan University of Science and Technology Taipei Taiwan Institute of Food Safety and Health National Taiwan University Taipei Taiwan Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan Adjunct Appointment to the Department of Biomedical Engineering National Defense Medical Center Taipei Taiwan Program National Taiwan University Taipei Taiwan GIP-TRIAD Master's Degree in Agro-Biomedical Science National Taiwan University Taipei Taiwan

Poly(polyol sebacate) (PPS) polymer family has been recognized as promising biomaterials for biomedical applications with their characteristics of easy production, elasticity, biodegradation, and cytocompatibility. Poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-PEG) has been developed to fabricate PPS-based hydrogels;however, current PXS-co-PEG hydrogels presented limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. Here, we fabricate a new type of PXS-co-PEG hydrogels through the use of multifunctional crosslinkers as well as dynamic bonds. In our design, polyethyleneimine-polydopamine (PEI-PDA) macromers are utilized to crosslink aldehyde-functionalized PXS-co-PEG (APP) through imine bonds and hydrogen bonds. PEI-PDA/APP hydrogels present multiple functional properties (e.g., fluorescent, elastomeric, biodegradable, self-healing, bioadhesive, antioxidant, and antibacterial behaviors). These properties of PEI-PDA/APP hydrogels can be fine-tuned by changing the PDA grafting degrees in the PEI-PDA crosslinkers. Most importantly, PEI-PDA/APP hydrogels are considered promising wound dressings to promote tissue remodeling and prevent bacterial infection in vivo. Taken together, PEI-PDA/APP hydrogels have been demonstrated as versatile biomaterials to provide multiple tailorable properties and desirable functions to expand the utility of PPS-based hydrogels for advanced biomedical applications. Statement of significance: Various strategies have been developed to fabricate poly(polyol sebacate) (PPS)-based hydrogels. However, current PPS-based hydrogels present limited properties and functions due to the limitations of the crosslinkers and crosslinking chemistry used in the hydrogel formation. This work describes that co-engineering crosslinkers and interfacial crosslinking is a promising approach to synthesizing a new type of poly(xylitol sebacate)-co-poly(ethylene glycol) (PXS-co-

关键词： Polyols

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Application of LDPE Film–Loaded Nutmeg Essential Oil Pickering Emulsion to Extend Tilapia Fillets’ Shelf Life

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food and Bioprocess technology 2024年第10期17卷 3031-3045页

作者： Yudhistira, Bara Chang, Chao-Kai Punthi, Fuangfah Cheng, Kuan-Chen Husnayain, Naila Hsieh, Chang-Wei Department of Food Science and Biotechnology National Chung Hsing University Taichung City402 Taiwan Department of Food Science and Technology Sebelas Maret University Surakarta City Central Java57126 Indonesia Institute of Biotechnology National Taiwan University Taipei10617 Taiwan Graduate Institute of Food Science Technology National Taiwan University Taipei10617 Taiwan Department of Optometry Asia University Taichung City413305 Taiwan Department of Medical Research China Medical University Hospital Taichung City404333 Taiwan International Master Program of Agriculture National Chung Hsing University Taichung City402 Taiwan

The food industry is still dependent on plastics for packaging materials, primarily due to their effectiveness in safeguarding products from external factors, such as moisture, light, and gas. However, traditional plastic packaging lacks the ability to actively preserve the quality and extend the shelf life of food. To address this challenge, various methods are currently being developed through surface modifications and the incorporation of active compounds. In most cases, studies on the modification of active film using low-pressure plasma (LPP) use different parameters, including time, pressure, and power, without a systematic optimization process. Therefore, this study aims to determine the optimum parameters for the combination of LPP treatment and Pickering emulsion (PE) of nutmeg essential oil (NEO) using Taguchi’s orthogonal assay design (OAD) to produce LDPE-active film. The results showed that the optimum conditions were 15 W LPP power, 30 s LPP duration time, and 1.5% PE-NEO concentration. These results showed a 50% improvement in power and time efficiency. LDPE film–loaded PE-NEO was then applied to tilapia fillets in cold storage. The results showed that the TBARS and TBVN values of the samples after the treatment were lower than those of the control by 12.11% and 16.74%, respectively. © The Author(s), under exclusive licence to Springer science+Business Media, LLC, part of Springer Nature 2024.

关键词： Cold storage

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Archimedean spiral multi-resonator for chipless RFID tag using Frequency-Coded Decimal method

Archimedean spiral multi-resonator for chipless RFID tag usi...

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SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference, IMOC 2015

作者： Ferreira, Hillner De P. A. Serres, Alexandre J. R. Serres, Georgina Karla De F. De Assis, Francisco M. Neto, Alfrêdo Gomes Post-Graduate Program in Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Group of Telecom. and Applied Electromagnetism Federal Inst. of Educ. Science and Technology of Paraíba João Pessoa Brazil

ISBN: (纸本)9781467394925

A compact electromagnetic multi-resonator is presented in this paper using a new technique for chipless RFID tag data encoding. Employing Archimedean spirals, the information is applied into the spectral signature shifting resonant frequencies in several positions. The multi-resonator tag proposed operates in microwave band (between 3.0-7.0GHz) and has a coding data capacity of up to 100 decimal numbers for two resonant frequencies. The simulated and measured results show a good concordance and a great perspective to use in low-cost RFID chipless tag applications. © 2015 IEEE.

关键词： Radio frequency identification (RFID)

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Early surveillance of rice bakanae disease using deep learning and hyperspectral imaging

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aBIOTECH 2024年第3期5卷 281-297页

作者： Sishi Chen Xuqi Lu Hongda Fang Anand Babu Perumal Ruyue Li Lei Feng Mengcen Wang Yufei Liu College of Biosystems Engineering and Food Science Zhejiang UniversityHangzhou 310058China State Key Laboratory of Rice Biology and Breeding Zhejiang UniversityHangzhou 310058China Computational Modeling and Nanoscale Processing Unit National Institute of Food TechnologyEntrepreneurship and Management-ThanjavurMinistry of Food Processing IndustriesThanjavur 613005India College of Environmental and Resource Sciences Zhejiang UniversityHangzhou 310058China Global Education Program for AgriScience Frontiers Graduate School of AgricultureHokkaido UniversitySapporo 060-8589Japan

Bakanae disease,caused by Fusarium fujikuroi,poses a significant threat to rice production and has been observed in most rice-growing *** disease symptoms caused by different pathogens may vary,including elongated and weak stems,slender and yellow leaves,and dwarfism,as *** disease is likely to cause necrosis of diseased seedlings,and it may cause a large area of infection in the field through the transmission of ***,early disease surveillance plays a crucial role in securing rice *** monitoring methods are both time-consuming and labor-intensive and cannot be broadly *** this study,a combination of hyperspectral imaging technology and deep learning algorithms were used to achieve in situ detection of rice seedlings infected with bakanae *** data were obtained on the 9th,15th,and 21st day after rice infection to explore the physiological and biochemical performance,which helps to deepen the research on the disease *** data were obtained over these same periods of infection,and a deep learning model,named Rice Bakanae Disease-Visual Geometry Group(RBD-VGG),was established by leveraging hyperspectral imaging technology and deep learning *** on this model,an average accuracy of 92.2%was achieved on the 21st day of *** also achieved an accuracy of 79.4%as early as the 9th *** characteristic wavelengths were extracted to increase the feasibility of using portable spectral equipment for field ***,the model offers an efficient and non-destructive surveillance methodology for monitoring bakanae disease,thereby providing an efficient avenue for disease prevention and control.

关键词： Bakanae disease Hyperspectral imaging Deep learning Early surveillance Disease monitoring

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Bio-based products: Factors that influence their adoption

Bio-based products: Factors that influence their adoption

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5th IEEE International Conference on Management of Innovation and technology, ICMIT2010

作者： Theinsthid, Pornpun Chandrachai, Achara Suwannathep, Sasitorn Keeratipibul, Suwimon Graduate School Interdisciplinary Program Technopreneurship and Innovation Management Chulalongkorn University Bangkok Thailand School of Liberal Arts King Mongkut's University of Technology Thonburi Bangkok Thailand Department of Food Technology Faculty of Science Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9781424465675

Bioplastics constitute an emerging and innovative industrial segment, characterized by new synergies and collaborations among the chemical, biotechnological, agricultural, and consumer sectors. This paper reports on a survey of factors that influence bioplastics adoption. Research focusing on each factor such as capital, R&D and innovation and licensing and IP related impediments are summarized. © 2010 IEEE.

关键词： Carbon footprint

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Red Onion Skin Extract Rich in Flavonoids Encapsulated in Ultrafine Fibers of Sweet Potato Starch by Electrospinning

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SSRN 2022年

作者： da Cruz, Elder Pacheco Jansen, Estefani Tavares Fonseca, Laura Martins dos Santos Hackbart, Helen Cristina Siebeneichler, Tatiane Jéssica Pires, Juliani Buchveitz Rombaldi, Cesar Valmor da Rosa Zavareze, Elessandra Dias, Alvaro Renato Guerra Graduate Program in Food Science and Technology Department of Agroindustrial Science and Technology Federal University of Pelotas Pelotas96010-900 Brazil

Electrospinning encapsulation is a highly viable method to protect bioactive compounds and prevent their degradation. Hence, this study produced ultrafine fibers based on yellow and white sweet potato starches and a red onion skin extract (ROSE;0, 3, 6, and 9%, w/w) using electrospinning. The fibers were evaluated for morphology, thermogravimetric properties, antioxidant, in vitro release simulation, thermal resistance (100 and 180 ºC), and wettability. The fibers with ROSE presented 251–611 nm diameters, 67–78% encapsulation efficiency, and 51.6–95.4 and 13.4–99.4% thermal resistance (100 and 180 ºC, respectively);apigenin presented the highest thermal protection. The phenolic compounds showed low release using 10% ethanol and greater release with 50% ethanol. The fibers with 9% ROSE showed 2,2'-azino-bis(3-ethylbenzothiazoline) 6-sulfonic acid radical inhibition above 92%. Our findings revealed that the potential application of the fibers with ROSE depends on the conditions and purpose of the food packaging or food matrix. © 2022, The Authors. All rights reserved.

关键词： Contact angle

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Hierarchical Classification of Bird Species Using Their Audio Recorded Songs

Hierarchical Classification of Bird Species Using Their Audi...

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IEEE International Conference on Systems, Man, and Cybernetics

作者： Carlos N. Silla Celso A. A. Kaestner Post-Graduate Program in Informatics (PPGI) Federal University of Technology of Paraná (UTFPR-CP) Cornélio Procópio Brazil Post-Graduate Program in Applied Computer Science (PPGCA) Federal University of Technology of Paraná (UTFPR) Curitiba Brazil

ISBN: (纸本)9781479906505

In this paper we address the task of hierarchical bird species identification from audio recordings. We evaluate three types of approaches to deal with hierarchical classification problems: the flat classification approach, the local-model per parent node classifier approach and the global-model hierarchical-classification approach. For the flat and local-model classification approach we employ the classic Naive Bayes algorithm. For the global-model approach we use the Global Model Naive Bayes (GMNB) algorithm. As in the classical Naive Bayes, the algorithm computes prior probabilities and likelihoods, but these computations take into account the hierarchical classification scenario: it assumes that any example which belongs to a given class will also belong to all its ancestor classes. In the current application, the employed class hierarchy is the standard scientific taxonomy of birds used in Biology. In order to deal with the bird songs we obtain features by computing several acoustic quantities from intervals of the audio signal. We conduct three experiments in order to compare the three different approaches to the hierarchical bird species identification problem. Our experimental results show that the use of the GMNB hierarchical classification algorithm outperforms both the flat and local-model approaches (Using the Hierarchical F-measure metric);hence the use of a global-model approach (such as the GMNB) can be a feasible way to improve the classification performance for problems with a large number of classes.

关键词： Bird species identification Audio classification Hierarchical classification Hierarchical Naive Bayes classifier bird species Hierarchical Bayes Audio recordings audio signals Songs

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Social protection and COVID-19: Evaluation of regional impacts of the Emergency Aid policy in Brazil

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EconomiA 2021年第3期22卷 239-250页

作者： da Rosa, Prisciane Raupp Fochezatto, Adelar Neto, Giácomo Balbinotto Sanguinet, Eduardo Rodrigues Post Graduate Program in Development Economics Pontifical Catholic University of Rio Grande do Sul (PUCRS) Porto Alegre Brazil Department of Economics Science Federal University of Rio Grande do Sul Porto Alegre Brazil Institute of Agricultural Economics Faculty of Agricultural and Food Sciences Austral Unieversity of Chile Valdivia Chile

The new Coronavirus pandemic (COVID-19), which began in late 2019 in China, lead to a health and economic crisis of significant proportions. The decrease in economic activity in order to prevent further spread of the disease affected all economic sectors, resulting in the unprecedented loss of jobs and the weakening of the informal economy. The Emergency Aid (EA) was created with the purpose of guaranteeing a subsistence income, minimizing the economic problems brought about by the pandemic. The aim of this paper is to analyze the direct and indirect impacts of the EA income transfers on the economy of Brazilian states. Of particular interest is to assess the distribution of indirect impacts as there may be spillovers of income between regions because of inter-sector relations and production chains. Thus, given the differences in production structures, the accounting of indirect impacts can result in a structure of regional distribution of benefits that is quite different from the initial one. The aim of this study is to assess which regions are relatively more benefited by comparing the initial structure of the distribution of the EA benefits with the final structure, after accounting for the spillovers. To do so, an interregional input-output model developed by Haddad et al. (2017) and data from the Brazilian Transparency Portal (Portal da Transparência) on resources allocated by the EA in the period from April to August 2020 were used. The results show that the states that benefited most in the initial distribution of the EA are the relatively most populous and poorest (Northeast) and the most benefited in the final distribution are those with more complex and relatively more developed productive structures (Southeast and South). © 2022 National Association of postgraduate Centers in Economics, ANPEC

关键词： Covid-19 Emergency Aid Interregional input-output model Pandemic Social protection

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