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Unexpected delayed reversal of rocuronium-induced neuromuscular blockade by sugammadex:A case report and review of literature

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World Journal of Clinical Cases 2022年第35期10卷 13138-13145页

作者： Hao-Chen Wang Cheng-Wei Lu Tzu-Yu Lin Ya-Ying Chang Department of Anesthesiology Far-Eastern Memorial HospitalNew Taipei City 220Taiwan Department of Mechanical Engineering Yuan Ze UniversityChung-Li 320Taiwan International Program in Engineering for Bachelor Yuan Ze UniversityChung-Li 320Taiwan

BACKGROUND Rocuronium,a nondepolarizing muscle relaxant,is usually administered during general anesthesia to facilitate endotracheal intubation and keep patients immobile during the ***,the selective reversal agent of rocuronium,fully reverses the neuromuscular blockade(NMB)at the end of *** reports show that sugammadex rapidly achieves a ratio of train-offour(TOF),a quantitative method of neuromuscular monitoring,of 0.9 which ensures adequate recovery for safe ***,very rare patients with neuromuscular diseases may respond poorly to *** SUMMARY A 69-year-old female presented with abdominal fullness and nausea,and was diagnosed with *** underwent gastric peroral endoscopic myotomy under general anesthesia with rocuronium(0.7 mg/kg).At the end of surgery,sugammadex 3.6 mg/kg was administered when TOF showed 2 ***,the TOF ratio recovered to 0.65 in 30 *** was awake but could not fully open her *** tidal volume during spontaneous breathing was *** additional doses of sugammadex(up to 7.3 mg/kg)in the following 3 h,the TOF ratio was 0.9,and the endotracheal tube was smoothly *** excluding possible mechanisms underlying the prolonged recovery course,we speculated our patient may have had an undiagnosed neuromuscular disease,hinted by her involuntary movement of the tongue and ***,her poor renal function and history of delayed recovery from general anesthesia may be related to the long duration of *** In our case,both prolonged rocuronium-induced NMB and poor response to sugammadex were *** optimize the dose of rocuronium,perioperative TOF combined with other neuromuscular monitoring is suggested.

关键词： Sugammadex Train-of-four Rocuronium Neuromuscular blockade General anesthesia Case report

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Changes in Travel Trends and Preferences of Filipinos due to the COVID-19-19 Pandemic: A Conjoint Analysis Approach 11

Changes in Travel Trends and Preferences of Filipinos due to...

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11th international Conference on Traffic and Logistic engineering, ICTLE 2023

作者： Prasetyo, Yogi Tri Gros, Clarnda Joanne Ellorn Benito, Omar Paolo Young, Michael Nayat Persada, Satria Fadil Ayuwati, Irene Dyah Yuan Ze University International Bachelor Program in Engineering Chung-Li Taoyuan Taiwan Mapúa University School of Industrial Engineering and Engineering Management Manila Philippines Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta Indonesia Institut Teknologi Telkom Surabaya Department of Information System Surabaya Indonesia

ISBN: (纸本)9798350339642

The pandemic significantly affects the tourism industry due to health risks and travel conditions. The study aimed to identify the travel preference of Filipinos amidst the pandemic through Applied Conjoint Analysis. Several attributes such as Location, Ambiance, Pre-Departure COVID-19-19 Test, Quarantine Requirements, Insurance Policy, and Type of Tour were analyzed simultaneously. A total of 61 Filipinos answered an online questionnaire which was distributed by a convenience sampling approach. The results demonstrate that Quarantine requirements are an essential attribute that influenced the decision of Filipino travelers. The study can be used for future studies about travel trends due to the pandemic. © 2023 IEEE.

关键词： COVID-19

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Determining Employees Preference on Employee Shuttle Bus Attributes: A Conjoint Analysis Approach 11

Determining Employees Preference on Employee Shuttle Bus Att...

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11th international Conference on Traffic and Logistic engineering, ICTLE 2023

作者： Altes, Gerlyn Calica Prasetyo, Yogi Tri Liao, Jui-Hao Ayuwati, Irene Dyah Young, Michael Nayat Persada, Satria Fadil Mapua University School of Indusrial Engineering and Engineering Management Manila Philippines Yuan Ze University International Bachelor Program in Engineering Chung-Li Taiwan Institut Teknologi Telkom Surabaya Department of Information System Surabaya Indonesia Bina Nusantara University BINUS Business School Undergraduate Program Entrepreneurship Department Jakarta Indonesia

ISBN: (纸本)9798350339642

Shuttle buses are highly beneficial for employees who report to work daily, as these eliminate the worry of safe and convenient travel. This study integrated the Conjoint Analysis approach using an orthogonal design to determine the most preferred combination of employee shuttle bus attributes for Filipinos of working age. This study utilized the following attributes: types of passenger seats, entertainment, emergency preparedness, and temperature. According to the results, the type of seat is the most important employee shuttle bus attribute for Filipino passengers, as it received the highest score value, followed by entertainment, emergency preparedness, and temperature. Since there is a lack of information related to the research topic, the findings in this study can be used as a point of reference for future academic research to enhance the employee shuttle bus. This study can also serve as a reference for companies selecting shuttle buses for their employees. Furthermore, the study can be extended to passenger preference analysis of commuter buses. © 2023 IEEE.

关键词： Personnel

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Reversible data hiding based on pixel segmentation and prediction for improving hiding capacity

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Signal, Image and Video Processing 2024年第6-7期18卷 5043-5059页

作者： Huang, Cheng-Ta Weng, Chi-Yao Zheng, Guo-Ting Weng, Hao-Yu International Bachelor Program in Informatics Yuan Ze University Taoyuan320315 Taiwan Department of Information Management Yuan Ze University Taoyuan320315 Taiwan Department of Computer Science and Information Engineering National Chiayi University Chiayi City600355 Taiwan Department of Computer Science and Artificial Intelligence National Pingtung University Pingtung900391 Taiwan Department of Computer Science and Information Engineering National Central University Taoyuan City320317 Taiwan

The idea of the traditional histogram shifting technique is to hide a message within the cover-image pixel distribution. However, the embedding capacity is limited by the peak point occurrences. To solve this problem, many reversible data hiding (RDH) techniques are developed to combine pixel prediction and histogram shifting to increase the embedding payload. In this paper, a RDH scheme based on chessboard prediction and pixel partitioning is proposed for enhancing the hiding payload. Pixel partitioning is used to separate a pixel into two parts: most significant bit and least significant bit. Then, the chessboard predictor is adopted to generate prediction errors and separate the pixels. Thereafter, histogram shifting is applied to embed the secret messages into prediction errors. Due to the high similarity of adjacent pixels in an image, the generated prediction errors are highly close to zero, resulting in a large embedding space. The experimental results indicate that the proposed method has superior performance in embedding capacity with acceptable image visual quality compared to existing schemes since it adopts the adaptive adjustment strategy to achieve this improved balance. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Pixels

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Determining Factors Affecting Customer Loyalty and Satisfaction in Online Food Delivery Service during the COVID‐19 Pandemic: A UTAUT2 Approach

Determining Factors Affecting Customer Loyalty and Satisfact...

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2024 IEEE international Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Susanto, Krisna Chandra Prasetyo, Yogi Tri Cahigas, Maela Madel L. Nadlifatin, Reny Persada, Satria Fadil Ayuwati, Irene Dyah Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Entrepreneurship Department Bina Nusantara University Jakarta Indonesia University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

The Online food delivery services (OFDS) have been extensively utilized, especially in developing nations like Indonesia on new normal Covid-19 situation. The present research aimed to utilize the "Unified Theory of Acceptance and Use of Technology-2" (UTAUT2) in affecting the customer satisfaction and loyalty (CSL) in OFDS in Indonesia post-COVID-19 pandemic. The 253 data was taken to answer the 65 indicators. Structural equation modeling (SEM) indicates that hedonic motivation exerts the most significant influence on CSL, succeeded by price. This study unexpectedly found that usability factors, including performance expectation habit, did not influence customer happiness and CSL in OFDS. This research strongly provides a theoretical framework for OFDS practitioners, IT developers, and scholars. The present research can be modified and expanded to different nations to examine the determinants of customer CSL in OFDS. © 2024 IEEE.

关键词： Sales

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A Conjoint Analysis on the Preference of Pipe Welding Materials and Procedures

A Conjoint Analysis on the Preference of Pipe Welding Materi...

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2024 IEEE international Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Dela Cruz, Erick D. Prasetyo, Yogi Tri Ayuwati, Irene Dyah Cahigas, Maela Madel L. Nadlifatin, Reny 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 Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan University of Surabaya Surabaya Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

Welding is both as art and science and its common use is the jointing of points. Some of the welding procedures used for jointing metal pipes are Tungsten Inert Gas and Gas Metal Arc welding and in common practice plastic pipes are bonded with the use of butt-fusion welding procedure. Since 1970’s conjoint analysis was used as a way of finding out what the preference of consumers. The objective of this study is to determine the combination welding attributes that were most preferred using a conjoint analysis approach. With conjoint analysis, together with, the orthogonal design the preference for welding materials and procedures were analyzed. It showed that pipe material with 29.24% was the most preferred attribute and Nondestructive test as the least preferred with 2.66%. The result of this study may be utilized in future related reviews and could be applicable in other related Mechanical systems requiring welding works. © 2024 IEEE.

关键词： Nondestructive examination

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Practical Implementation of Q-Learning and Object Detection for Mobile Robot Path Planning

Practical Implementation of Q-Learning and Object Detection ...

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international Conference on Advanced Robotics and Intelligent Systems (ARIS)

作者： John P. Valcourt Franya M. Chandler Chamma Avrelus Jou-Yi Lee Ali Ihsan Gullu Syed H. Shah Dept. of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan International Bachelor Program in ECE Yuan Ze University Taoyuan Taiwan Mechanicai/Industrial Engineering DE Yuan Ze University Taoyuan Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Defense Electronics Engineering Gebze Technical University Kocaeli Turkiye

ISBN: (数字)9798350362572

ISBN: (纸本)9798350362589

Expanding on an earlier study that assessed the performance of a Q-learning approach for solving the path planning problem for mobile robots, this research implemented the RL approach in a real-world setting employing the RoboMas-ter EP Core. The robotic system also included object detection and recognition through the robot's sensors and a pre-trained YOLOv9 model. The robot navigated to predefined target points while avoiding stationary obstacles. The Q-learning algorithm was trained using the Google Colaboratory platform. Experi-ments conducted at various speeds identified an optimal speed and high success rates in obstacle avoidance and target region accuracy were achieved. Additionally, the object detection sys-tem demonstrated strong performance in real-time applications. Despite these successes, challenges such as high friction and multitasking inefficiencies were identified. Future research should address these limitations by enhancing control systems and the robot's multitasking capabilities, as well as using a computer with better processing power to improve overall system performance further.

关键词： Q-learning Accuracy Navigation Friction Object detection Robot sensing systems Multitasking

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Predicting Factors Influencing the Actual Use of E-learning Platform Among Medical Students in the Philippines

Predicting Factors Influencing the Actual Use of E-learning ...

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2024 IEEE international Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Benito, Omar Paolo Prasetyo, Yogi Tri Roque, Ralph Andre C. Flores, Fernan Patrick Cahigas, Maela Madel L. Nadlifatin, Reny Ayuwati, Irene Dyah International Bachelor Program in Engineering Yuan Ze University Taoyuan Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan Taiwan School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines School of Graduate Studies Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia Rectorate University of Surabaya Surabaya Indonesia

ISBN: (纸本)9798350386097

This study aimed to examine the factors influencing the acceptance of eLearning platforms in medical education during the COVID-19 pandemic in the Philippines, using the latent variables from the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and two additional variables derived from relevant literature. A total of 360 medical students participated by completing an online survey comprising 40 questions. The analysis, conducted using stepwise multiple linear regression, revealed that Performance Expectancy (PE), Habit (HB), and Instructor Characteristics (IC) were significant predictors of Actual Use (AU) with an accuracy of 54.22%. Higher levels of PE, HB, and IC were found to positively influence the acceptance and utilization of medical eLearning platforms. The findings from this study can provide valuable insights for the Commission on Higher Education in the Philippines, aiding in the enhancement of eLearning platforms for medical education. Although this research primarily focused on UTAUT2 and two additional variables-Learning Value and Instructor Characteristics-the results offer substantial implications for the broader development of eLearning platforms in the medical field. © 2024 IEEE.

关键词： Multiple linear regression

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The Traceability Designing of Information Flow Data System in Rail Freight Transportation in Thailand

The Traceability Designing of Information Flow Data System i...

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2023 IEEE international Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Yuduang, Nattakit Prasetyo, Yogi Tri Sukhavalli, Rachkanok Young, Michael Nayat Suvarnabhumi Institute of Technology Faculty of Business Administration Department of Supply Chain Samut Prakan10540 Thailand Yuan Ze University International Bachelor Program in Engineering Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapua University Manila Philippines

ISBN: (纸本)9798350323153

Rail freight transportation is one of the essential modes of freight transport. It is regarded as a cheap means of transportation and is appropriate for moving containers, agricultural items, and bulk materials. However, for a number of reasons, rail freight transit in Thailand has been constrained. One of the most worrisome issues from the perspective of the clients is the ability to track and trace the shipments. Due to the lack of efficient information flow among all parties involved in transportation, customers are unable to track down shipments and determine when they will arrive at their destination. This study used information flow diagrams to show where the information was lacking. As a case study, the State Railway of Thailand (SRT) practice is utilized to analyze the issues and make improvement recommendations. Finally, in order to enhance the information flow for rail freight transportation, a traceability system for rail freight has been developed. © 2023 IEEE.

关键词： Freight transportation Information flow Traceability

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Determination of the Factors Influencing the Response Efficacy of Filipinos Under Typhoon Conson 2021 (Jolina)

Determination of the Factors Influencing the Response Effica...

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2023 IEEE international Conference on Industrial engineering and engineering Management, IEEM 2023

作者： Prasetyo, Yogi Tri Benito, Omar Paolo Liao, Jui-Hao Ismail, Nagib Gumasing, Ma. Janice J. Persada, Satria Fadil Nadlifatin, Reny International Bachelor Program in Engineering Yuan Ze University Chung-Li Taiwan Yuan Ze University Department of Industrial Engineering and Management Chung-Li Taiwan School of Industrial Engineering and Engineering Management Mapüa University Manila Philippines Binus Business School Undergraduate Program Bina Nusantara University Entrepreneurship Department Jakarta Indonesia Institut Teknologi Sepuluh Nopember Department of Information Systems Surabaya Indonesia

ISBN: (纸本)9798350323153

The Philippines is a country prone to natural disasters, such as typhoons. The present study aimed to investigate the response efficacy of the Filipino population under Typhoon Conson 2021, also known as Typhoon Jolina. A stepwise multiple linear regression was utilized to assess a variety of latent variables in the Protection Motivation Theory, such as perceived severity, self-efficacy, response efficacy, and response cost, along with an additional latent variable, geographical perspective. A sum of 388 participants voluntarily participated in a self-administered survey that consisted of 50 questions. It was found that the independent variables, such as geographical perspective, perceived severity, and self-efficacy were proven to have predictive ability on the dependent variable, response efficacy. The findings of this study could serve as a valuable guideline for planners and future researchers seeking to improve preparedness and response efficacy for typhoons. Furthermore, this study can also be employed by local government authorities to establish policies and strategies aimed at natural disaster risk protection. © 2023 IEEE.

关键词： Natural disaster protection motivation theory response efficacy stepwise multiple linear regression typhoon

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