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2020 International Conference on Computer Science and Its Application in Agriculture, ICOSICA 2020

作者： Pradana, I. Gusti Made Teddy Djatna, Taufik IPB University Graduate and Post Graduate Study Program in Agroindustrial Engineering Bogor Indonesia IPB University Department of Agroindustrial Technology Bogor Indonesia

ISBN: (纸本)9781728169071

Traceability systems are a concern in the current food supply chain mainly due to food safety issues. Related traceability problem in the supply chain is the risk of changes in the information on coffee products presented on the consumer's side, thereby reducing their trust in information and customer loyalty on the product. This study aims to analyze the business process of the real-world situation in coffee commodity supply chains, generate a dataset from these observations, and to propose a traceability system design using the clustering approach. The methodology in this research consisted of field observation and desk study, multicollinearity analysis, and hierarchical cluster analysis and formulation. The results show that the activities occurring in the coffee commodity supply chain take place between 4 stakeholders, which is indicated by UML. The generated dataset is then compared in correlation so that four variables are selected to use as references in designing the traceability system. Finally, the clustering method shows 4 clusters, where every 2 clusters in 2 existing varieties. The resulting cluster has been able to interpret as much as 84.83% of the dataset tested. © 2020 IEEE.

关键词： Supply chains

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Bioactivity, Efficacy, and Safety of a Wound Healing Ointment With Medicinal Plant Bioactives: In Vitro and In Vivo Preclinical Evaluations

Scientific World Journal

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Scientific World Journal 2025年第1期2025卷 9466270页

作者： Floriano, Juliana Ferreira Rodrigues, Daniel Ohara, Rie Almeida, Nara Lígia Martins Lara, Vanessa Soares Sartorelli, Patricia Graeff, Carlos Frederico de Oliveira Grecco, Simone dos Santos González, Alejandra Hortencia Miranda D’Alpino, Paulo Henrique Perlatti Imperial College London National Heart and Lung Institute imperial.ac.uk GBR London United Kingdom Botucatu Medical School São Paulo State University (UNESP) São Paulo unesp.br BRA Botucatu Brazil Bioengineering and Biomaterials Group School of Pharmaceutical Sciences São Paulo State University (UNESP) unesp.br BRA Araraquara São Paulo Brazil Biotechnology and Innovation in Health Program Universidade Anhanguera de São Paulo (UNIAN) São Paulo BRA Brazil Brazil Department of Health Management Fundação Nacional de Gestão de Saúde São Paulo Brazil Undergraduate Program Medical School Universidade Nove de Julho Bauru São Paulo Brazil Department of Surgery Stomatology Pathology and Radiology Bauru School of Dentistry University of São Paulo (USP) São Paulo usp.br BRA Bauru Brazil Department of Chemistry Institute of Environmental Chemical and Pharmaceutical Sciences Federal University of São Paulo São Paulo unifesp.br BRA Diadema Brazil Department of Physics School of Sciences POSMAT-Post-Graduate Program in Materials Science and Technology São Paulo State University (UNESP) São Paulo Bauru Brazil Department of Research and Development (RD) and Innovation Center Triplet Biotechnology Solutions Inc Bauru São Paulo Brazil Post-Graduate Program in Dentistry Uniderp Anhanguera University Mato Grosso do Sul Campo Grande Brazil Post-Graduate Program in Integrated Dental Sciences University of Cuiabá (UNIC) Mato Grosso do Sul Cuiabá Brazil Department of Physics School of Sciences São Paulo State University (UNESP) São Paulo unesp.br BRA Bauru Brazil

Chronic wounds have a significant impact on patients’ quality of life, necessitating the management of pain, infection, bleeding, and emotional challenges. Debridement, which involves the removal of nonviable tissue, is crucial for promoting wound healing. In addition to surgical methods, cost-effective alternatives such as local solutions and ointments with biological properties have been explored. The use of natural compounds with anti-inflammatory, antibacterial, and collagen-synthesizing abilities holds promise for wound healing. This in vitro and in vivo preclinical study aimed to assess the safety and effectiveness of a wound healing ointment containing bioactive ingredients derived from medicinal plants (extracts, essential oils, and vegetable oils). The chemical composition of the ointment was characterized using Fourier transform infrared (FTIR) spectroscopy to gain insights into its synergistic action. Preclinical tests were conducted following standardized protocols. FTIR analysis revealed similarities between the product’s spectrum and that of bioactive compounds. The in vitro tests demonstrated that all formulations of the ointment induced no cell death, DNA damage, or acute toxicity in cell cultures (p < 0.05). No lethal dose was observed, indicating the safety of the ointment at all concentrations. The ointment also stimulated a notably more organized, significantly higher collagen production compared to control groups (p < 0.05). In vivo preclinical analyses also demonstrated no adverse responses being effective in the healing process compared to the control group (silver sulfadiazine) in terms of wound contraction and ulcer re-epithelization (p < 0.05). Significantly higher means of wound contraction were observed in the groups treated with the bioactive-containing ointment when compared to both the positive control group (sulfadiazine) and the control untreated groups (p < 0.05). The regenerative ointment exhibited excellent biocompatibility and bi

关键词： biocompatibility chronic wounds natural compounds preclinical tests wound care

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A systematic review of software requirements selection and prioritization using SBSE approaches

A systematic review of software requirements selection and p...

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5th International Symposium on Search-Based Software Engineering, SSBSE 2013

作者： Pitangueira, Antônio Mauricio Maciel, Rita Suzana P. De Oliveira Barros, Márcio Andrade, Aline Santos Federal University of Bahia Computer Science Department Brazil Post-graduate Information Systems Program Brazil Federal Institute of Bahia Brazil

ISBN: (纸本)9783642397417

Selection and prioritization of software requirements represents an area of interest in Search-Based Software Engineering (SBSE) and its main focus is finding and selecting a set of requirements that may be part of a software release. This paper uses a systematic review to investigate which SBSE approaches have been proposed to address software requirement selection and prioritization problems. The search strategy identified 30 articles in this area and they were analyzed for 18 previously established quality criteria. The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, the methods approaches and search techniques currently adopted to address these problems, and the strengths and weaknesses of each of these techniques. The review provides a map showing the gaps and trends in the field, which can be useful to guide further research. © 2013 Springer-Verlag.

关键词： Requirements engineering

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Navigation and guidance control system of AUV with trajectory estimation of linear modelling

Navigation and guidance control system of AUV with trajector...

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2015 International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation, ICAMIMIA 2015

作者： Herlambang, Teguh Djatmiko, Eko Budi Nurhadi, Hendro Post Graduate Program in Marine Technology ITS Indonesia Department of Ocean Engineering ITS Indonesia Department of Mechanical Engineering ITS Indonesia

ISBN: (纸本)9781467373463

This paper put forwards a study on the development of navigation and guidance systems for AUV. The restriction in AUV model and estimation on the degree of freedom are recognized as the common problem in AUV's navigation and guidance systems. In this respect a linear model, derived from the linearization using the Jacobian matrix, will be utilized. The so obtained linear model is then estimated by the Ensemble Kalman Filter (EnKF). The implementation of EnKF algorithm on the linear model is carried out by establishing two simulations, namely by generating 300 and 400 ensembles, respectively. The simulations exhibit that the generation of 400 ensembles will give more accurate results in comparison to the generation of 300 ensembles. Furthermore, the best simulation yields the tracking accuracy between the real and simulated trajectories, in translational modes, is in the order of 99.88%, and in rotational modes is in the order of 99.99%. © 2015 IEEE.

关键词： Navigation

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programming Variational Quantum Circuits with Quantum-Train Agent

Programming Variational Quantum Circuits with Quantum-Train ...

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Quantum Communications, Networking, and Computing (QCNC), International Conference on

作者： Chen-Yu Liu Samuel Yen-Chi Chen Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Graduate Institute of Applied Physics National Taiwan University Taipei Taiwan Hon Hai (Foxconn) Research Institute Taipei Taiwan Wells Fargo New York NY USA Department of Electrical and Electronic Engineering Imperial College London London UK Centre for Quantum Engineering Science and Technology (QuEST) Imperial College London London UK Quantum Information Center Chung Yuan Christian University Taoyuan City Taiwan Master Program in Intelligent Computing and Big Data Chung Yuan Christian University Taoyuan City Taiwan

ISBN: (数字)9798331531591

ISBN: (纸本)9798331531607

This study introduces the Quantum-Train Quantum Fast Weight programmer (QT-QFWP) framework, enabling efficient and scalable programming of variational quantum circuits (VQCs) through quantum-driven parameter updates for the classical slow programmer controlling the fast programmer VQC. By optimizing quantum and classical parameter management, QT-QFWP significantly reduces parameters (by 70–90%) compared to Quantum Long Short-Term Memory (QLSTM) and Quantum Fast Weight programmer (QFWP) while maintaining accuracy. Benchmarking on time-series tasks—including Damped Simple Harmonic Motion (SHM), NARMA5, and Simulated Gravitational Waves (GW)—demonstrates superior efficiency and predictive accuracy. QT-QFWP is particularly advantageous for near-term quantum systems, addressing qubit and gate fidelity constraints, enhancing VQC deployment in time-sensitive applications, and expanding quantum computing’s role in machine learning.

关键词： Quantum system Accuracy Computational modeling Qubit Neural networks programming Predictive models Quantum circuit Physics Long short term memory

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Handling Problems of Credit Data for Imbalanced Classes using SMOTEXGBoost 3

Handling Problems of Credit Data for Imbalanced Classes usin...

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3rd International Conference on Computational Science and information Management, ICoCSIM 2019

作者： Mardiansyah, Heru Widia Sembiring, Rahmat Efendi, Syahril Graduate Program of Computer Science Department of Information Technology Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medam Indonesia

Some researchers find data with imbalanced class conditions, where there are data with a number of minorities and a majority. SMOTE is a data approach for an imbalanced classes and XGBoost is one algorithm for an imbalanced data problems. This research uses SMOTE and XGBoost or abbreviated as SMOTEXGBoost for handling data with an imbalanced classes. The results showed almost the same accuracy value between SMOTE and SMOTEXGBoost at 99%. While the value of AUC SMOTEXBoost has a more stable value than SMOTE that is equal to 99.89% for training and 98.51% for testing. © Published under licence by IOP Publishing Ltd.

关键词： Data handling

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Software requirements selection and prioritization using SBSE approaches: A systematic review and mapping of the literature

Software requirements selection and prioritization using SBS...

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作者： Pitangueira, Antônio Mauricio Maciel, Rita Suzana P. Barros, Márcio Federal University of Bahia Computer Science Department Brazil Post-graduate Information Systems Program Unirio Brazil Federal Institute of Bahia Brazil

The selection and prioritization of software requirements represents an area of interest in Search-Based Software Engineering (SBSE) and its main focus is finding and selecting a set of requirements that may be part of a software release. This paper presents a systematic review and mapping that investigated, analyzed, categorized and classified the SBSE approaches that have been proposed to address software requirement selection and prioritization problems, reporting quantitative and qualitative assessment. Initially 39 papers returned from our search strategy in this area and they were analyzed by 18 previously established quality criteria. The results of this systematic review show which aspects of the requirements selection and prioritization problems were addressed by researchers, which approaches and search techniques are currently adopted to address these problems, as well as the strengths and weaknesses in this research area highlighted from the quality criteria. © 2014 Elsevier Inc. All rights reserved.

关键词： Requirements engineering

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Classification and comparative study of IRS LISS-III satellite images using RBFN and decision tree 50th

Classification and comparative study of IRS LISS-III satelli...

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50th Annual Convention of Computer Society of India : Sensors and Image Processing, CSI 2015

作者： Upadhyay, Anand Singh, Santosh Kumar Gaikwad, Shailesh Kisan Mukherjee, Ashutosh Chandra Research ScholarAMET University Maharashtra India Head of Information Technology Department Maharashtra India Post Graduate Students Maharashtra India

ISBN: (纸本)9789811066139

The satellite image classification is categorization of objects available on earth surface using the satellite images. It is one of the very important areas of satellite images processing to understand the changes on the earth surface. So, the main intention behind the following work is to apply the decision trees and radial basis function network-based supervised classification techniques to understand the land cover and land used area in Mumbai. The classifiers are implemented using the MATLAB simulation toolbox. Here the IRS P6 LISS-III satellite image of Mumbai region is used to classify the areas of Mumbai. The different areas of Mumbai region are classified such as the area is covered by water, forest, wetland, and development areas. Decision tree and RBFN classification techniques are trained with the same set of training data and applied on the same set of the testing data set. So, the experimental result of our classifiers shows that the classification accuracy of the RBFN-based satellite image classification is higher than decision tree-based satellite image classification. © 2018, Springer Nature Singapore Pte Ltd.

关键词： Decision trees

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Evaluation of e-learning application system performance based on the users' perceptions

Evaluation of e-learning application system performance base...

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2013 2nd IEEE International Conference on Teaching, Assessment and Learning for Engineering, TALE 2013

作者： Diana Suharjito Information Technology Department School of Computer Science Bina Nusantara University Jakarta Indonesia Information Technology Program Bina Nusantara Graduate Program Bina Nusantara University Jakarta Indonesia

ISBN: (纸本)9781467363556

The use of IT applications in teaching and learning had changed the way students learn using e-learning which was more modern, effective and efficient. This paper will explain the result for e-learning system performance evaluation based on faculties and students perspective using the Web-Based Evaluation model of E-Learning system. Number of samples used in this study were 348 students and 270 lecturers who use e-learning system namely Binusmaya. Results obtained from this study were the characteristics and problems of e-learning systems that were complained by users as well as an alternative solution to solve these problems and suggest some recommendations. © 2013 IEEE.

关键词： Students

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Envisioning the Future of Collaboration for Banking and FinTech Industry 5

Envisioning the Future of Collaboration for Banking and FinT...

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5th IEEE International Conference on Computer and Informatics Engineering, IC2IE 2022

作者： Legowo, Mercurius Broto Sorongan, Fangky Antoneous Subanidja, Steph Perbanas Institute Information System Study Program Faculty of Information Technology Jakarta Indonesia Perbanas Institute Accounting Study Program Faculty of Economic and Business Jakarta Indonesia Post Graduate School Perbanas Institute Master of Management Program Jakarta Indonesia

ISBN: (数字)9781665453387

ISBN: (纸本)9781665453387

This study aims to envision the future of banking and the FinTech industry collaboration by the triggers for change based on trends watching in current conditions. Envisioning is the ability to describe the impact of changes in the business environment caused by the various trigger changes observed in trend watching. The current conditions and the triggers of change based on trend-watching are issues and considerations in envisioning collaboration between banking and the Fintech industry. The research methodology uses a descriptive method with a qualitative approach. The study surveyed 100 respondents, each representing the banking and FinTech sectors, who understand the issues related to the collaboration of the two industries. In addition, to complement the survey data, this study also conducted Focus Group Discussions and In-depth Interviews as a qualitative approach. The study's results by analyzing current conditions and triggers of change based on trend watching will represent a picture of the future of banking and FinTech industry collaboration. This research will expect a significant contribution to government regulations/policies and a positive contribution and support on the IT/IS side, especially in applied technology and architecture/business models for collaboration in the future of collaboration banking and the FinTech Industry that follow. © 2022 IEEE.

关键词： Laws and legislation

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