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32nd European Biomass Conference and Exhibition, EUBCE 2024

作者： Ramos, Arthur Augusto Frasson De Brites, Eneida Campos Felipe Soares, Raquel Moraes Silveira, Edgar A. Contreras, Francisco University of Brasilia Department of Civil and Environmental Engineering DF Brasilia70910-900 Brazil University of Brasilia Graduate Program on Environmental Technology and Water Resources Department of Civil and Environmental Engineering DF Brasilia70910-900 Brazil Federal Institute of Education Science and Technology of Brasília Estrutural Campus DF Brasília71250-000 Brazil University of Brasília Mechanical Sciences Graduate Program Laboratory of Energy and Environment DF Brasilia70910-900 Brazil

With the projected global population reaching 9.7 billion by 2050, the production and consumption of food continue to escalate. Nitrogen is pivotal in this landscape due to its significance in living organisms and the environmental repercussions associated with nutrient-rich waste. Inappropriate disposal of such residues contributes to nitrogen release into the environment, impacting aquatic ecosystems and precipitating the generation of greenhouse gases. This study tackles the global challenge of effectively managing nitrogen in food waste by utilizing Material Flow Analysis (MFA) as a tool to comprehend this cycle. The analysis uncovered that vegetables, legumes, and fruits constitute the primary sources of waste generation, while meats, despite their lower mass, account for a substantial proportion of total nitrogen depletion. In the surveyed month of October 2023, 174,834 meals were served, resulting in an average food consumption N-footprint of 0.003 kg of nitrogen discarded per individual meal within the restaurant’s organic waste. These findings indicate that 65% of nitrogen is consumed in meal form, while 35% is discarded as organic solid waste. However, 53% of the nitrogen in the residues originates from food preparation processes, with food preparation responsible for over half of this figure. A deeper process analysis reveals that vegetables have low nitrogen concentrations, although they significantly contribute to waste at all stages. In contrast, meats and eggs, with higher nitrogen concentrations, emerge as noteworthy contributors to the overall nitrogen content in waste. Vegetables and meats contribute about 50% and 45% of the total nitrogen, respectively. These outcomes substantially enhance our comprehension of waste generation dynamics and nutrient utilization at the university restaurant, assisting with waste management, design of sustainable menus, reduction of food waste, and optimized resource utilization, contributing to sustainability and re

关键词： Effluent treatment

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Bibliometric mapping of the research trends on software architecture for e-Health systems

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Procedia Computer Science 2023年 219卷 1462-1469页

作者： Caroline Luiz Gonçalves Luciana Pereira Alessandra Cristina Santos Akkari Graduate Program in Engineering and Innovation Management Federal University of ABC (UFABC) Santo Andre Brazil

The association between technology and social development is particularly important in the health field, pointing to research in e-Health to optimize health services. This paper aimed to carry out a bibliometric mapping of software architecture for e-Health systems, so an exploratory and descriptive study was performed, with a quantitative approach and based on secondary data from ISI Web of Science. The bibliometric indicators showed 127 different papers in 97 sources, with 16.92 citations per paper and a collaboration index of 4.18 with higher scientific productivity from Europe and North America. Scattered networks of co-citation of the sources and co-occurrence of the keywords were identified, pointing to three main approaches in the research theme, including (i) a managerial view of e-Health systems based on the development of frameworks; (ii) data privacy in health services; (iii) and application of digital technologies, especially Big Data, IoT, Cloud Computing, and Blockchain as corroborated by the word cloud. In addition, for the evaluation of the countries that have the largest number of scientific production and to assess the most used keywords, a descriptive statistical analysis was performed to organize the dataset and to obtain the measures of centrality, dispersion, and frequency. This paper contributes to direct the discussion about software architecture and its multifaceted aspects in the health field, guiding architects and practitioners in their e-Health projects.

关键词： e-Health software architecture health system bibliometrics

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Analyzing Patterns of Violence Against Women in Pernambuco Using Self-Organizing Maps and Apriori Algorithm

Analyzing Patterns of Violence Against Women in Pernambuco U...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Brenda Barros Alves Da Silva Rodolfo Moreira Pereira Cleyton M. de Oliveira Rodrigues Roberta Andrade de Araújo Fagundes Graduate Program in Computer Engineering Polytechnic School of Pernambuco POLI/UPE Recife Brazil

ISBN: (数字)9798350374575

ISBN: (纸本)9798350374582

This study investigates significant patterns of violence against women in Pernambuco using Self-Organizing Maps (SOM) and the Apriori algorithm. The methodology includes trend analysis, clustering, and association rule mining, utilizing data from the Ministério da Mulher covering 2015 to 2021. The exploratory data analysis identified demographic, temporal, and spatial trends in violence. SOM was employed for dimensionality reduction and clustering, revealing three clusters representing 5.24%, 19.68%, and 75.08% of the dataset, respectively. The Apriori algorithm was applied to yearly subsets of each cluster to uncover relevant association patterns. Our findings highlight key characteristics and temporal dynamics of violence, supporting the development of targeted interventions and support systems.

关键词： Self-organizing feature maps Surveys Pandemics Heuristic algorithms Soft sensors Clustering algorithms Psychology Data collection Market research Real-time systems

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Motion Detection Method of Electrostatic MEMS Resonators Operating in Aqueous Media 6

Motion Detection Method of Electrostatic MEMS Resonators Ope...

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6th International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2024

作者： Hemid, Mohamed Alattar, Basil Ghommem, Mehdi Ahmed, Alaaeldin Abdel-Rahman, Eihab Sabouni, Rana Mechatronics Graduate Program American University of Sharjah Sharjah United Arab Emirates American University of Sharjah Mechanical Engineering Department Sharjah United Arab Emirates Systems Design Engineering University of Waterloo Ontario Canada American University of Sharjah Chemical Engineering Department Sharjah United Arab Emirates

ISBN: (纸本)9798350382891

This paper introduces an experimental method to detect the motion of an electrostatic Micro-Electro-Mechanical Systems (MEMS) resonator in aqueous media. The resonator comprises a micro cantilever beam subject to electrostatic actuation through a side electrode. A Finite Element Method (FEM) model of the resonator is developed to determine the in-plane mode shapes and their natural frequencies in order to facilitate the experimental study. The motion of the resonator lead to variations in its capacitance and induce a current. The developed experiments demonstrate that motion-induced current can be measured and analyzed to detect the motion of the resonator's higher-order modes and can be used in chemical sensing. © 2024 IEEE.

关键词： Electrostatics

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FPGA-based Implementation of Random Forest Classifier for sEMG Signal Classification 46

FPGA-based Implementation of Random Forest Classifier for sE...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Martins, Wagner Bagesteiro, Leia B. Weber, Tiago O. Balbinot, Alexandre Universidade Federal do Rio Grande do Sul Post-Graduate Program in Electrical Engineering Porto Alegre Brazil San Francisco State University Department of Kinesiology San FranciscoCA United States

This paper proposes a method that combines a hardware description language and Random Forests theory, to develop a motion recognition embedded system. To validate this system, the Ninapro database DB2 was used as trai... 详细信息

ISBN: (纸本)9798350371499

关键词： Random forests

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A New Image Augmentation Method for Improving Computer-aided Diagnosis System Performance

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Transactions of the Korean Institute of Electrical Engineers 2021年第1期70卷 102-107页

作者： Lee, Sin-Ae Cho, Hyun-Chong Interdisciplinary Graduate Program for Bit Medical Convergence Kangwon National University Korea Republic of Dept. of Electronics Engineering and Interdisciplinary Graduate Program for Bit Medical Convergence Kangwon National University Korea Republic of

Gastric cancer is the largest percentage of cancer cases in Korea. A precise way to find the occurrence of gastrointestinal diseases is through gastroscopy by a trained diagnostic physician. Computer-aided diagnosis (CADx) system helps improve the reliability and speed of diagnosis. Hie CADx system has developed with deep learning, which is data dependent. However, medical image data is labor intensive and time consuming, making it difficult for large data sets to be formed. To solve this problem, it is important to apply augmentation techniques. In tliis paper, we propose an augmentation method which is suitable for the data. A basic classification model was made by leaning a data set consisting of the original images. Each of the 14 augment technique-applied data set was input into the generated model and the fl-score values were compared. Hie fl-score of the highest performance among the proposed methods, was 0.9221, with an increase of about 0.085. © 2021 Korean Institute of Electrical Engineers. All rights reserved.

关键词： Computer aided diagnosis

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Overcoming Cytosolic Delivery Barriers of Proteins Using Denatured Protein-Conjugated Mesoporous Silica Nanoparticles

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ACS Applied Materials and Interfaces 2023年第1期15卷 432-451页

作者： Dembélé, Julien Liao, Jou-Hsuan Liu, Tsang-Pai Chen, Yi-Ping Graduate Institute of Biomedical Materials & Tissue Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Laboratory of Toxicology Environment and Health Doctorate School of Health University Joseph Ki-Zerbo Ouaga03 BP 7021 Burkina Faso Department of Chemistry National Taiwan University Taipei10617 Taiwan Department of Surgery Mackay Memorial Hospital Taipei10449 Taiwan Graduate Institute of Nanomedicine and Medical Engineering Taipei Medical University Taipei11031 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan

Intracellular delivery of therapeutic proteins has increased advantages over current small-molecule drugs and gene therapies, especially in therapeutic efficacies for a broad spectrum of diseases. Hence, developing the protein therapeutics approach provides a needed alternative. Here, we designed a mesoporous silica nanoparticle (MSN)-mediated protein delivery approach and demonstrated effective intracellular delivery of the denatured superoxide dismutase (SOD) protein, overcoming the delivery challenges and achieving higher enzymatic activity than native SOD-conjugated MSNs. The denatured SOD-conjugated MSN delivery strategy provides benefits of reduced size and steric hindrance, increased protein flexibility without distorting its secondary structure, exposure of the cell-penetrating peptide transactivator of transcription for enhanced efficient delivery, and a change in the corona protein composition, enabling cytosolic delivery. After delivery, SOD displayed a specific activity around threefold higher than in our previous reports. Furthermore, the in vivo biosafety and therapeutic potential for neuron therapy were evaluated, demonstrating the biocompatibility and the effective antioxidant effect in Neuro-2a cells that protected neurite outgrowth from paraquat-induced reactive oxygen species attack. This study offers an opportunity to realize the druggable possibility of cytosolic proteins using MSNs. © 2022 American Chemical Society.

关键词： Peptides

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Folding angle and wing flexibility influence the flight performance of origami winged fruits

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Nonlinear Dynamics 2024年第13期112卷 10995-11011页

作者： Cai, Jing-Fang Hsu, Ya-Chun Yen, Yu-Chen Lee, Yun-Chung Peyton, Bernie Huang, Mei-Jiau Yu, Hon-Tsen Juang, Jia-Yang Department of Mechanical Engineering National Taiwan University Taipei106319 Taiwan Department of Life Science National Taiwan University Taipei106319 Taiwan Berkeley CA United States Program in Nanoengineering and Nanoscience Graduate School of Advanced Technology National Taiwan University Taipei106319 Taiwan Degree Program of Genome and Systems Biology National Taiwan University Taipei106319 Taiwan

Winged fruits possess a unique flight mechanism relying on simple geometric structures rather than neuromuscular control. This study proposes an innovative approach using origami techniques to create three-winged model fruits, serving as a proxy for understanding the flight dynamics of natural winged fruits. Paper is employed to simulate inherent wing flexibility, with the option to add plastic frames for rigidity. We comprehensively investigate the free fall motion of both rigid and flexible winged fruits through experimental and numerical analyses. Velocity–time curves reveal a three-stage descent pattern—acceleration, deceleration, and steady states. The overshoot phenomenon is attributed to rapid lift increase due to leading-edge vortices attaching stably to the wings. This insight sheds light on aerodynamics governing fruit flight. Compared with rigid wings, flexible wings exhibit two key properties—slower descent and higher self-orienting capability—that facilitate a more stable and longer-distance dispersal of seeds under crosswind conditions. Our study demonstrates the potential benefits of flexible wings in natural seed distribution. This study advances our understanding of winged fruit flight dynamics, utilizing origami as a powerful tool for biomimetic investigations. The findings have broad implications, from improving aerodynamic designs to developing efficient micro air vehicles and electronic microfliers, and understanding seed dispersal evolution. Graphical abstract: (Figure presented.). © The Author(s), under exclusive licence to Springer Nature B.V. 2024.

关键词： Fruits

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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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A Study on Improvement of Tomato Disease Classification Performance According to Various Image Augmentation

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Transactions of the Korean Institute of Electrical Engineers 2021年第12期70卷 2000-2005页

作者： Ham, Hyun-Sik Cho, Hyun-Chong Dept. of Electronic Engineering Interdisciplinary Graduate Program for BIT Medical Convergence Kangwon National University Korea Republic of Interdisciplinary Graduate Program for BIT Medical Convergence Kangwon National University Korea Republic of

Crop diseases are damaging agricultural food worldwide. Early detection of crop diseases is important to prevent damage to crops. However, it is difficult to distinguish crop diseases unless not expert. Therefore, in this paper, a crop diseases classification system that can recognize diseases even before expert judgment is proposed. The characteristics of diseases were learned and classified using Convolutional Neural Network(CNN). In addition, images are augmented to increase classification performance. To augment the image, a basic augmentation policy consisting of Random Crop and Random Horizontal Flip and Google's AutoAugment are used. Then, the augmented image was selected as an base augmentation model by setting a threshold and then trained. We compared the performance of the original, augmentation model, and image selection model. As a result, the image selection model set to the threshold value of 0.7 in AutoAugment achieved the performance of F1 Score 0.958. © The Korean Institute of Electrical Engineers

关键词： Crops

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