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Food and Humanity 2025年 4卷

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

Diets rich in antioxidants from foods are linked to a lower risk of developing and progressing of noncommunicable diseases. Unlike estimates of population antioxidant intake, this study aimed to estimate the total antioxidant capacity (TAC) of meals suggested in the Dietary Guidelines for the Brazilian population (DGBP) (2014), as well as identify the main contributing foods. The research was quantitative and descriptive, based on the analysis of secondary data from photographic records of the suggested meals (breakfast, lunch, and dinner) in the DGBP. The foods, their preparation methods, and portion sizes were identified. Food TAC was mainly estimated using the Ferric-Reducing Ability Power (FRAP) method, based on Carlsen et al. (2010). Subsequently, the TAC of the meals, the percentage contribution of each food item, and the TAC adjusted to 250 kcal were estimated. The average TAC found was 3.01 ± 1.35 mmol in breakfast suggestions, 1.93 ± 0.84 mmol in lunch suggestions, and 2.49 ± 3.34 mmol in dinner suggestions, with no significant differences when comparing the TAC results among the three meals (p = 0.608). However, coffee was identified as the main contributor in breakfast suggestions, while beans stood out as the main contributor in lunch and dinner suggestions. Therefore, the foods that most prominently contributed to the TAC of the meals suggested by DGBP were those that, in addition to being part of the national food culture, are classified as natural or minimally processed. These findings reinforce the public health value of promoting diets based on natural or minimally processed foods, highlighting their importance in providing bioactive compounds which may help prevent chronic diseases and improve population health. © 2025 Elsevier B.V.

关键词： Antioxidants Diet Dietary phytochemical

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Effects of colored noise on the dynamics of quantum entanglement of a one-parameter qubit-qutrit system

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Chinese Physics B 2022年第5期31卷 141-149页

作者： Odette Melachio Tiokang Fridolin Nya Tchangnwa Jaures Diffo Tchinda Arthur Tsamouo Tsokeng Martin Tchoffo Research Unit of Condensed Matter Electronic and Signal ProcessingDepartment of PhysicsDschang School of Sciences and TechnologyUniversity of DschangPO Box:67 DschangCameroon Material Science Research Group Physics LaboratoryDepartment of PhysicsPost Graduate SchoolUniversity of MarouaPO Box:814 MarouaCameroon Centre d’Etudes et de Recherches en Agronomie et en Biodiversite Faculte d’Agronomie et des Sciences AgricolesUniversite de DschangCameroun

We analyzed the effect of colored noise on the negativity dynamics of a hybrid system consisting of a qubit-qutrit and not interacting,prepared from the start in an entangled one-parameter state and acting with noise in local and non-local *** this pink and brown noise we investigated two different situations:in the first situation,the noise is produced by a bistable oscillator with an unknown exchange rate;however,in the second situation,the noise is generated by a set of bistable *** found that entanglement decreases with time to zero,and undergoes the phenomenon of sudden death and *** pink noise is more prone to entanglement than the brown noise and the non-local environment is more prone to entanglement than the local *** the number of fluctuators is increased,entanglement decays faster and finally,for certain parameters of the initial state,the subsystems are not affected by the noise.

关键词： entanglement hybrid system qutrit colored noise

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An ANN-Based Electronic Nose for Monitoring Pollutant Gases in Landfills

An ANN-Based Electronic Nose for Monitoring Pollutant Gases ...

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IEEE Instrumentation and Measurement technology Conference

作者： Juliene dos Santos Davi Muniz Francisco Auriberto Ferreira Marques Junior Cleonilson Protasio De Souza William De Paiva Post-Graduate Program of Electrical Engineering Federal University of Paraíba João Pessoa PB Brazil Post-Graduate Program of Environmental Science and Technology State University of Paraíba Campina Grande PB Brazil Department of Electrical Engineering Federal University of Paraíba João Pessoa PB Brazil Department of Sanitary and Environmental Engineering State University of Paraíba João Pessoa PB Brazil

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

Biogas generated from urban solid waste degradation in landfills is composed of various types of gases, some of them are very toxic and harmful to the health of both humans and animals, and contribute directly to global warming as well. In this way, the monitoring of biogas concentration in landfills and their surroundings is very important because this can assess the air contamination around landfills, as well as to propose means to minimize it. In this work, an electronic nose for gas identification and measurement of gases present in landfill biogas using an Artificial Neural Network (ANN) is introduced. The ANN training data have been collected by the developed electronic nose, which consisted on a set of low-cost gas sensors and on a signal acquisition system controlled by the LabViewsoftware. After the ANN training, a neural architecture has been obtained and implemented in a microcontrolled digital system to measure different gas concentrations, mainly, methane. The main results of the proposed ANN-based Electronic Nose show that it was possible to measure the gases concentrations, with RMSE less than 1%, for the most of target gases, confirming the accuracy of the developed system.

关键词： Gases Semiconductor device measurement Accuracy Landfills Artificial neural networks Electronic noses Biogas

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Zema Dataset: A Comprehensive Study of Yaredawi Zema with a Focus on Horologium Chants

arXiv

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arXiv 2024年

作者： Muluneh, Mequanent Argaw Peng, Yan-Tsung Degife, Worku Abebe Tadesse, Nigussie Abate Demeku, Aknachew Mebreku Su, Li Institute of Information Science Academia Sinica Taipei Taiwan Department of Information System University of Gondar Gondar Ethiopia Department of Computer Science National Chengchi University Taipei Taiwan Social Networks and Human-Centered Computing Program Taiwan International Graduate Program Taiwan Department of Information Management National Taiwan University of Science and Technology Taipei Taiwan Department of Material Science and Engineering National Taiwan University of Science and Technology Taipei Taiwan

Computational music research plays a critical role in advancing music production, distribution, and understanding across various musical styles in the world. Despite the immense cultural and religious significance, the Ethiopian Orthodox Tewahedo Church (EOTC) chants are relatively underrepresented in computational music research. This paper contributes to this field by introducing a new dataset specifically tailored for the analysis of EOTC chants, also known as Yaredawi Zema. This work provides a comprehensive overview of a 10-hour dataset, 369 instances, creation, and curation process, including rigorous quality assurance measures. Our dataset has a detailed word-level temporal boundary and reading tone annotation along with the corresponding chanting mode label of audios. Moreover, we have also identified the chanting options associated with multiple chanting notations in the manuscript by annotating them accordingly. Our goal in making this dataset available to the public1 is to encourage more research and study of EOTC chants, including lyrics transcription, lyric-to-audio alignment, and music generation tasks. Such research work will advance knowledge and efforts to preserve this distinctive liturgical music, a priceless cultural artifact for the Ethiopian people. © 2024, CC BY.

关键词： Music

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An Efficient Three-Factor Authenticated Key Agreement Technique Using FCM Under HC-IoT Architectures

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Computers, materials & Continua 2022年第7期72卷 1373-1389页

作者： Chandrashekhar Meshram Agbotiname Lucky Imoize Sajjad Shaukat Jamal Parkash Tambare Adel R.Alharbi Iqtadar Hussain Department of Post Graduate Studies and Research in Mathematics Jayawanti Haksar Government Post-Graduation CollegeCollege of Chhindwara UniversityBetul460001M.P.India Department of Electrical and Electronics Engineering Faculty of EngineeringUniversity of LagosAkokaLagos100213Nigeria Department of Electrical Engineering and Information Technology Institute of Digital CommunicationRuhr University44801BochumGermany Department of Mathematics College of ScienceKing Khalid UniversityAbhaSaudi Arabia Water Resources&Applied Mathematics Research Lab Nagpur440027India College of Computing and Information Technology University of TabukTabuk71491Saudi Arabia Mathematics Program Department of MathematicsStatistics and PhysicsCollege of Arts and SciencesQatar University2713DohaQatar

The Human-Centered Internet of Things(HC-IoT)is fast becoming a hotbed of security and privacy *** users can establish a common session key through a trusted server over an open communication channel using a three-party authenticated key *** of the early authenticated key agreement systems relied on pairing,hashing,or modular exponentiation processes that are computationally intensive and *** order to address this problem,this paper offers a new three-party authenticated key agreement technique based on fractional chaotic *** new scheme uses fractional chaotic maps and supports the dynamic sensing of HC-IoT devices in the network architecture without a password *** projected security scheme utilized a hash function,which works well for the resource-limited HC-IoT *** results show that our new technique is resistant to password guessing attacks since it does not use a ***,our approach provides users with comprehensive privacy protection,ensuring that a user forgery attack causes no ***,our new technique offers better security features than the techniques currently available in the literature.

关键词： Three-party authenticated key agreement anonymity fractional chaotic maps Chebyshev polynomial password table human-centered internet of things(HC-IoT)

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Techno-economic and life-cycle assessment of electrochemical captured CO2 conversion process in monoethanolamine

Techno-economic and life-cycle assessment of electrochemical...

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2022 AIChE Annual Meeting

作者： Lee, Suhyun Choi, Woong Kim, Jae Hyung Hwang, Yun Jeong Na, Jonggeol Ewha Womans University School of Chemical Engineering and Materials Science Korea Republic of Ewha Womans University Graduate program in System Health Science and Engineering Korea Republic of Clean Energy Research Center Korea Institute of Science and Technology Korea Republic of Seoul National University School of Chemistry Korea Republic of Korea Republic of Ewha Womans University Dept. of Chemical Engineering & Material science Advanced Manufacturing Systems Laboratory Korea Republic of

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Influence of the Corrosion Degree of Hot-Dipped Galvanized Reinforcements on its Bond Strength to Concrete

SSRN

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SSRN 2024年

作者： da Fonsêca, Márcia Suzanna Dutra Abreu Borges Meira, Gibson Rocha The Civil and Environmental Engineering of Federal University of Paraíba João Pessoa Brazil The Federal Institute of Education Science and Technology of Paraíba João Pessoa Brazil The Civil and Environmental Engineering Post-graduate Program of Federal University of Paraíba João Pessoa Brazil

This work studies the behavior of hot-dipped galvanized steel against chloride corrosion and its effect on its bond strength to concrete. Two steel diameters were adopted and bond strength was assessed using a standardized pull-out test, followed by measuring different degrees of corrosion. The results show that the initial corrosion of hot-dipped galvanized steel, due to the high alkalinity of fresh concrete, does not affect the structural performance of reinforced concrete and that galvanized steel has superior bond strength to concrete than non-galvanized steel for small corrosion rates. However, it decreases as the corrosion degree significantly increases. © 2024, The Authors. All rights reserved.

关键词： Reinforced concrete

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Multipurpose Silicon-Based Toothpastes: Decision Making for a Better Oral Health

European Dental Research and Biomaterials Journal

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European Dental Research and Biomaterials Journal 2023年第1/02期03卷 001-002页

作者： Fabiano Vieira Vilhena Paulo Henrique Perlatti D'Alpino Trials Research and Development Inc. São Paulo SP Brazil Triplet Biotechnology Solutions São Paulo SP Brazil São Paulo State University (UNESP) School of Sciences POSMAT – Post-Graduate Program in Materials Science and Technology Bauru SP Brazil

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Study of Machine Learning Techniques for Damage Identification in a Beam 10th

Study of Machine Learning Techniques for Damage Identifica...

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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： da Silva Coelho, Jefferson de Sousa, Amanda Aryda Silva Rodrigues Machado, Marcela Rodrigues Dutkiewicz, Maciej Department of Mechanical Engineering University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília Brazil Post-Graduate Program - Integrity of Engineering Materials University of Brasília Campus Universitário Darcy Ribeiro Faculdade de Tecnologia - Asa Norte DF Brasília70910-900 Brazil Faculty of Civil Environmental Engineering and Architecture University of Science and Technology Bydgoszcz85-796 Poland

ISBN: (纸本)9783031157578

Damage is defined as any change to the material, geometry or boundary condition that can modify the structure’s properties or response. In the past, damage identification was performed through periodical inspection, non-destructive testing/non-destructive evaluation, or visual observation. Structural health monitoring (SHM) has emerged to transition from offline damage identification to near real-time and online damage assessment. Hence, SHM is a damage detection strategy to monitor a structure for a period using a series of continuous measurement devices, which then collect the system’s characteristics and subsequently perform statistical analysis to assess the current circumstances and health of the structure. One of the first steps for the study of SHM is damage detection followed by monitoring. Machine Learning (ML) techniques can be used to develop viable algorithms to make potential predictions. ML algorithms are therefore providing the tools needed to enhance the capabilities of SHM systems and provide intelligent solutions to past challenges. Preliminary studies have reviewed that the extension of ML into SHM has dramatically increased the system’s capabilities, providing innovative solutions to different research challenges. This work conducts a study of the use of ML to identify damage in a beam and discuss the challenge of usage, performance and implementation of each technique. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Decision trees

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Growth of Wafer-Scale Single-Crystal 2D Semiconducting Transition Metal Dichalcogenide Monolayers

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Advanced science 2024年第11期11卷 e2307839页

作者： Singh, Jitendra Astarini, Nadiya Ayu Tsai, Meng-Lin Venkatesan, Manikandan Kuo, Chi-Ching Yang, Chan-Shan Yen, Hung-Wei Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei City106335 Taiwan Department of Physics Udit Narayan Post Graduate College Padrauna Uttar Pradesh Kushinagar274304 India Department of Molecular Science and Engineering Institute of Organic and Polymeric Materials National Taipei University of Technology Taipei City106344 Taiwan Institute and Undergraduate Program of Electro-Optical Engineering National Taiwan Normal University Taipei City11677 Taiwan Department of Materials Science and Engineering National Taiwan University Taipei City106319 Taiwan

Due to extraordinary electronic and optoelectronic properties, large-scale single-crystal two-dimensional (2D) semiconducting transition metal dichalcogenide (TMD) monolayers have gained significant interest in the development of profit-making cutting-edge nano and atomic-scale devices. To explore the remarkable properties of single-crystal 2D monolayers, many strategies are proposed to achieve ultra-thin functional devices. Despite substantial attempts, the controllable growth of high-quality single-crystal 2D monolayer still needs to be improved. The quality of the 2D monolayer strongly depends on the underlying substrates primarily responsible for the formation of grain boundaries during the growth process. To restrain the grain boundaries, the epitaxial growth process plays a crucial role and becomes ideal if an appropriate single crystal substrate is selected. Therefore, this perspective focuses on the latest advances in the growth of large-scale single-crystal 2D TMD monolayers in the light of enhancing their industrial applicability. In the end, recent progress and challenges of 2D TMD materials for various potential applications are highlighted. © 2023 The Authors. Advanced science published by Wiley-VCH GmbH.

关键词： Single crystals

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