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作者： Henrard, J. R AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT U. S. Air Force Tyndall Program Management Office Tyndall Air Force Base FL U. S. Air Force Program Management Office Tyndall Air Force Base FL

This research develops a multi-criteria decision analysis model to quantify project complexity and inform decision-makers in resource-constrained organizations with the Tyndall program management Office (PMO) as a case study. The complexity score is used as a risk metric to determine the appropriate number of skilled or novice project managers to effectively manage the PMO portfolio to mitigate cost and schedule overruns. The research provides an innovative approach to consider manning levels at the PMO and other project management-focused organizations/sections.

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AI-Based Feature Extraction and Cosine Similarity for Automation of Student Learning Assessment 24

AI-Based Feature Extraction and Cosine Similarity for Automa...

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24th International Arab Conference on Information technology, ACIT 2023

作者： Wijanarko, Bambang Dwi Bachtiar Hassan, Rosilah Binti Murad, Dina Fitria Ihsan, Ridho Bramulya Heryadi, Yaya Kuncoro, Engkos Achmad Julianti, Eka Binus Online Learning Bina Nusantara University Computer Science Department Jakarta Indonesia Graduate School Universitas Terbuka Master of English Education Jakarta Indonesia Universiti Kebangsaan Malaysia Center for Cyber Security Faculty of Information Science and Technology Selangor Bangi43600 Malaysia Binus Online Learning Bina Nusantara University Information Systems Department Jakarta Indonesia Binus Online Learning Bina Nusantara University Manajemen Department Jakarta Indonesia Binus Graduate Program-Doctor of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Binus Business School Undergraduate Program Bina Nusantara University Management Department Jakarta Indonesia Universitas Terbuka Information System Department Jakarta Indonesia

ISBN: (纸本)9798350384307

This research is ongoing research into the student learning process which aims to develop artificial intelligence-based technology to calculate essay exam scores automatically, based on the textual proximity of students' answers to the answer key. This research uses an approach based on natural language processing (NLP) and text analysis. Feature extraction was carried out using the BERT model and similarity comparison using the Cosine distance method. Model evaluation was carried out using sensitivity and specificity tests. The model evaluation results show a sensitivity of 98.21%, which means this assessment model is able to detect positive cases well. © 2023 IEEE.

关键词： artificial intelligence BERT essay exam score natural language processing transformer

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FincGAN: A Gan Framework of Imbalanced Node Classification on Heterogeneous Graph Neural Network

FincGAN: A Gan Framework of Imbalanced Node Classification o...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Hung Chun Hsu Ting-Le Lin Bo-Jun Wu Ming-Yi Hong Che Lin Chih-Yu Wang Graduate Program of Data Science National Taiwan University and Academia Sinica Taiwan Department of Accounting and Statistics National ChengChi University Taiwan Department of Risk Management and Insurance National ChengChi University Taiwan Department of Electrical Engineering National Taiwan University Taiwan Graduate Institute of Communication Engineering National Taiwan University Taiwan Research Center for Information Technology Innovation Academia Sinica Taiwan

Graph Neural Networks (GNNs) frequently face class imbalance issues, especially in heterogeneous graphs. Existing GNNs often assume balanced class sizes, which isn’t true in many cases. Applying them directly to imbalanced data can lead to sub-optimal performance. Traditional oversampling methods, while effective, risk overfitting and face difficulties in reintegrating synthetic samples into the original graph. In this study, we introduce Framework of Imbalanced Node Classification on heterogeneous graph neural network with GAN (FincGAN), a new framework that utilizes oversampling techniques to address class imbalance in heterogeneous graphs. Instead of duplicating existing samples, FincGAN employs a Generative Adversarial Network (GAN) to create synthetic samples and uses deep learning-based edge generators to connect them back to the original graph. Our evaluations on spam user detection in the Amazon and Yelp Review datasets show that FincGAN outperforms baseline models in all essential metrics, including F-score and AUC-PRC score, showing its effectiveness in addressing class imbalance.

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Factors that Influence E-Satisfaction and Their Impact on Online Purchase Intention of Telemedicine Applications

Factors that Influence E-Satisfaction and Their Impact on On...

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International Conference on Computing, Engineering, and Design (ICCED)

作者： Anderes Gui Idris Gautama So Dea Novantia Elfindah Princes Nesti Fronika Sianipar Hasnah Haron Information System Program School of Information Systems Bina Nusantara University Jakarta Indonesia Management Department Binus Business School Bina Nusantara University Jakarta Indonesia Information Systems Management Department Binus Graduate Program-Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Food Technology Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia Faculty of Economics and Muamalat Universiti Sains Islam Malaysia Nilai Malaysia

This study embarked on a rigorous examination of the factors driving user satisfaction and usage behavior in the context of telehealth applications. Utilizing a well- structured Google Form survey, distributed through an array of social media platforms, including WhatsApp, Discord, Instagram, and Line, the research gathered 251 responses. The purposive sampling technique was employed to ensure that the data captured the experiences of individuals who had actively engaged with telehealth services. One hypothesis, relating to the influence of Online Reviews, was found to be unsupported. This surprising result suggests that, contrary to expectations, the opinions and reviews shared online do not significantly affect users’ satisfaction or their behavioral decisions in the context of telehealth applications. This finding highlights the need for a more nuanced understanding of the factors influencing user preferences and choices in this rapidly evolving sector. Conversely, other hypotheses examining factors such as Social Influence, Facilitating Conditions, Perceived Reliability, Price Value, and Purchase Intention were substantiated. The positive influence of these factors on customer usage behavior underscores their significance in shaping user experiences and satisfaction within the telehealth ecosystem. Furthermore, the study posits that facilitating conditions should be closely aligned with technological advancements, as this alignment is conducive to the development of enhanced application features. This insight suggests that telehealth providers should continuously innovate and integrate advanced technologies to ensure that the facilitating conditions meet the ever-evolving needs and expectations of users.

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Development of Simultaneous Quantitative Analytical Method for Three Active Components of Agastache Rugosa in Human Plasma Using Ultra-High-Performance Liquid Chromatography–Tandem Mass Spectrometry

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SSRN 2023年

作者： Rinik, Urmi Rahman Kim, Ji Eon Lee, Eunok Kwon, Oran Jung, Byung Hwa Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology Seoul02792 Korea Republic of Division of Bio-medical Science and Technology KIST School University of Science and Technology Daejeon34113 Korea Republic of Department of Nutritional Science and Food Management Graduate Program in System Health Science and Engineering Ewha Womans University Korea Republic of

Abstract: Agastache rugosa contains phenolic compounds and flavonoids, and has been extensively used as a traditional herbal medicine. The major components in Agastache rugosa are rosmarinic acid, tilianin, and acacetin, for which several analytical techniques have been reported. However, these substances have yet to be simultaneously quantified in human plasma. In this study, we aimed to simultaneously determine the three active components of Agastacherugosa in human plasma by developing a reliable quantitative analytical method using ultra-high-performance liquid chromatography–tandem mass spectrometry (UHPLC-MS/MS). Chromatographic separation of the plasma samples was achieved using an ACQUITY UPLC® BEH C18 column with a gradient mobile phase of water and acetonitrile containing 0.1% formic acid. Mass spectrometric detection was performed using a triple quadrupole tandem mass spectrometer in negative electrospray ionization (ESI−) and multiple reaction monitoring (MRM) modes. The developed quantitative method was validated for the three active components. All three analytes exhibited a linear response over the ranges of 0.5–50 ng/mL for rosmarinic acid, 0.1–20 ng/mL for acacetin, and 0.5–20 ng/mL for tilianin with a weighting factor of 1/x (where x is the concentration). At three quality control (QC) concentration levels (low, medium, and high), including the lower limit of quantitation (LLOQ), acceptable accuracy (±15%) was achieved in the intra- and interday validations. The concentration of rosmarinic acid was highest in plasma. Tilianin and acacetin appeared and were eliminated earlier in the plasma than rosmarinic acid. This study provides a successfully validated method that can be used in further clinical applications of Agastache rugosa extracts. © 2023, The Authors. All rights reserved.

关键词： Mass spectrometers

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Comparison of Taylor Galerkin and FTCS models for dam-break simulation 5

Comparison of Taylor Galerkin and FTCS models for dam-break ...

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5th International Seminar on Sustainable Urban Development, ISoSUD 2020

作者： Hafiyyan, Q. Adityawan, M.B. Harlan, D. Natakusumah, D.K. Magdalena, I. Graduate School of Civil Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Center for Coastal and Marine Development Bandung Institute of Technology Jawa Barat Bandung Indonesia Study Program of Water Resouces Engineering and Management Bandung Institute of Technology Jawa Barat Bandung Indonesia Study Program of Water Resources Engineering Bandung Institute of Technology Jawa Barat Bandung Indonesia Industrial and Financial Mathematics Research Group Bandung Institute of Technology Jawa Barat Bandung Indonesia

The aim of this paper is to compare the ability of two numerical models to simulate two-dimensional dam-break flows. Dam-break modelling is important in reducing the high-risk of dam failure by determining the water flow movement and its effect on buildings downstream. In this study, the Taylor Galerkin and Forward Time Central Space method is presented to simulate 2-D dam-break flow. The Hansen filter is applied to both methods to reduce numerical instability oscillations in the model. The filters were used for each time step at each computing point. The model is verified by comparing the result simulation with numerical results from previous studies. The result show that Taylor Galerkin numerical scheme with Hansen filter is successful to simulate the problem of 2-D dam-break. Also, the Taylor Galerkin model has better results than the FTCS model. Studies like this are needed for mitigation efforts in the event of dam failure. © Published under licence by IOP Publishing Ltd.

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Performance Assessment of Food Logistics Service Under SERVQUAL Model Using Analytic Hierarchy Process Approach

Performance Assessment of Food Logistics Service Under SERVQ...

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IEEE International Conference on Industrial Engineering and Engineering management

作者： Poonyawat Kusonwattana Yogi Tri Prasetyo Jui-Hao Liao Omar Paolo Benito Michael Nayat Young Nattakit Yuduang Thanatorn Chuenyindee Satria Fadil Persada School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Department of Industrial Engineering and Management Yuan Ze University Chung-Li Taiwan Logistics and Supply Chain Management Program Faculty of Business Administration Suvarnabhumi Institute of Technology Samut Prakan Thailand Department of Industrial Engineering and Aviation Management Navaminda Kasatriyadhiraj Royal Air Force Academy Bangkok Thailand Entrepreneurship Department BINUS Business School Undergraduate Program Bina Nusantara University Jakarta Indonesia

The food supply chain at present is important to the human and there have a lot of transportation modes to distribute food from manufacturer to customer also business to business. The customers there need fresh food and the providers always find the best way in logistics that send their food to customers with the best quality and fresh, that is why the cold chain of logistics is popular and needs to improve more for the customers. However, there is no clear way to improve the performance and assessment of food logistics service, the aim of this study focused on service quality of food logistics and identify a set of service quality dimensions that developed from the SERVQUAL model for measuring their logistics process after that researcher prioritized the dimensions and sub-dimensions by Analytic Hierarchy Process (AHP) and finalize the local weight and global weight from AHP result. Finally, this research has shown the providers and the customers were prioritized for punctuality in food logistics service. It should be concern and improvement about punctuality in a food logistics service at the same time, the worst dimension of the provider's perspective is tangible and the customer perspective is empathy, that they did not pay attention it should be improved later.

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An Integer Linear programming for Hospital Bed Scheduling and Capacity management 22

An Integer Linear Programming for Hospital Bed Scheduling an...

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4th International Conference on management Science and Industrial Engineering, MSIE 2022

作者： Jewpanya, Parida Acla, Arni Ellorin-Igros, Clarinda Joanne Santos, Aira Ronalie P. Rachmandika, Pino Prasetyo, Dimas Redi, Anak Agung Ngurah Perwira Department of Industrial Engineering Rajamangala University of Technology Lanna Tak Tak Thailand School of Industrial Engineering and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila1002 Philippines Industrial Engineering Department Binus Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta11480 Indonesia Binus University Banten Tangerang15325 Indonesia

ISBN: (纸本)9781450395816

COVID-19 has struck the Philippines in December 2019 and has brought great panic to the country's healthcare system. In a short period of time, the number of infected increased exponentially. Hospitals are suddenly filled with patients infected by the virus to the extent that patients wait for hours to days to be admitted. Others die on the road even before finding hospitals that can accommodate them. The hospitals and the country's healthcare system must consider this increasing demand to serve patients fully. Patient planning is commonly used in other countries to maximize bed allocation. A recent study using Bernoulli Distributed Random Variable represents the binary integer program. The approach combines the queuing model and simulation to reduce the patient dismissal rate and increase hospital output. On the other hand, this paper deals with strategic hospital bed capacity optimization using linear integer programming by considering the diverse resources, such as doctors, nurses, beds, and hospital rooms. © 2022 ACM.

关键词： Hospitals

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The physical attributes of rubidium-based Rb2TlRhF6 double perovskite halide: A first-principles investigation

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Physica B: Condensed Matter 2024年 685卷

作者： Qaid, Saif M.H. Murtaza, Hudabia Ain, Quratul Din, Moeen Ud Ghaithan, Hamid M. Ali Ahmed, Abdullah Ahmed Munir, Junaid Department of Physics & Astronomy College of Sciences King Saud University P.O. Box 2455 Riyadh11451 Saudi Arabia Department of Physics Riphah International University Lahore Pakistan Department of Physics University of Management and Technology Lahore Pakistan Department of Physics National Taiwan University Taipei10617 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan Physics Division National Center for Theoretical Sciences Taipei1061 Taiwan and Fachbereich Physik Universität Hamburg Hamburg20146 Germany

Rubidium cations (Rb+) significantly improve the overall performance of organic-inorganic hybrid perovskite based devices and have gained exceptional attention due to their good thermal and structural stability. In this paper, we have evaluated the physical attributes of rubidium based Rb2TlRhF6 via DFT code using TB-mBJ potential. Structural stability has been confirmed through negative formation energy and calculated tolerance factor. Band structure and TDOS profile confirm semiconductor nature with 3.2 eV direct bandgap at (L-L) symmetry points. A ductile nature with metallic bonding is observed through the investigation of elastic attributes. Optical analysis of Rb2TlRhF6 indicates great absorption in the UV region. Low thermal conductivity and electrical resistivity, along with a high value for power factor, resulted in high ZT value of 0.8 and 800 K. The combined qualities provide a stunning and exciting picture of this compound for use in thermoelectric advanced technologies. © 2024 Elsevier B.V.

关键词： Density functional theory

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Assessing the digital maturity of micro and small enterprises: a focus on an emerging market

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Procedia Computer Science 2022年 200卷 175-184页

作者： Lais Santiago da Costa Igor Polezi Munhoz Luciana Pereira Alessandra Cristina Santos Akkari Graduate Program in Engineering and Innovation Management Federal University of ABC Av. dos Estados 5001 Santo Andre SP Brazil Federal Institute of Education Science and Technology São Paulo Av. Mutinga 951 Sao Paulo SP Brazil

Digital transformation is challenging the competitiveness of micro and small enterprises (MSEs), especially in emerging markets where factors that inhibit the growth of these businesses traditionally prevail. This paper aimed to assess the digital maturity of MSEs, using the Brazilian context as a study model. A validated digital transformation framework was applied to 346 companies for data collection and subsequent statistical treatment. Almost 60% of the Brazilian MSEs are at primary levels of digital maturity, with 19.1% being unconscious about the digitization process. Digital maturity was shown to be statistically correlated with innovations (p = 0.000) and business revenue (p = 0.009), suggesting that these factors are facilitators in the MSEs digitization. This paper pointed to the urgency of efforts on the part of companies and policy makers in Brazil to implement actions that can foster behaviors, capabilities, and enablers to digital transformation. These findings can allow in-depth discussions and aligned strategies among emerging economies to point out best practices for companies inserted in markets with similar characteristics and challenges.

关键词： Digital Maturity MSE Emerging Market Brazil

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