检索结果-内蒙古大学图书馆

Construing, Depression, and Somatization in Mothers in Taiwan

Journal of Constructivist Psychology 2023年第2期38卷 240-257页

作者： Lin, YuChi Arts and Technology Master Program Chinese Culture University Taipei Taiwan

This study explored the construing of mothers with depression and somatic symptoms in Taiwan, with a particular focus on how they construe themselves when with their children in public and private spaces. Questionnaires and repertory grid technique (RGT) were administered to 63 Taiwanese women. The findings revealed a strong correlation between depression and somatization, emphasizing the mind-body connection. Demographic factors did not significantly impact depression or somatization, suggesting that subjective construing holds more importance than circumstances alone. Tight construing was found to relate to somatization but not depression, implying that the way Taiwanese mothers construe their roles in childrearing is closely connected to somatic symptoms. Surprisingly, the dissimilarity between the actual and ideal self did not correlate with depression or somatization, indicating a possible influence of cultural factors. Moreover, the study highlighted the significant impact of self-construal in public and private spaces on the mental well-being of Taiwanese mothers. It revealed that more depressed and somatized mothers tend to see themselves as similar in both contexts. This challenges whether Western ideas of self-consistency as an indicator of mental health are applicable to East Asian cultures. © 2024 Taylor & Francis Group, LLC.

关键词： childrearing motherhood somatic symptoms Taiwan tight construing

来源：评论

学校读者我要写书评

暂无评论

Flood modeling in the Ba River basin using a coupled hydrodynamic model—MIKE FLOOD

River

引用

River 2024年第2期3卷 199-207页

作者： Luc Anh Tuan Can Thu Van Doan Van Binh Sameh AKantoush Tetsuya Sumi Le Van Quyen Ta Thi Huong Master Program in Water Technology Reuse&Management(with TU DarmstadtGermany)Faculty of EngineeringVietnamese–German UniversityBen Cat TownVietnam Ho Chi Minh City University of Natural Resources and Environment Ho Chi Minh CityVietnam Water Resources Research Center Disaster Prevention Research InstituteKyoto UniversityKyotoJapan VNU School of Interdisciplinary Study and Arts Cau GiayVietnam

The problem of flooding in Central Vietnam in general and the lower Ba River in particular is one of the natural disasters that frequently threatens people's lives and socioeconomic development in the ***,climate change is becoming ever more prominent and hotter,making extreme natural disasters more unusual and *** this research,MIKE-FLOOD—a model that connects a 1-dimensional(1-D)MIKE 11 Hydrodynamics(HD)model with a 2-dimensional(2-D)MIKE 21 HD model—was used to set *** model was calculated for three floods:(1)flood in October 1993,(2)flood in November 2003,and(3)flood in November 2007;these are floods with high frequency and relatively large *** results show that the 1993 flood rose and receded *** flood peak inundated an area of 22,600 ha,accounting for 52%of the natural *** flooded areas deeper than 1,2,3,4,and 5m were 16500,11,000,7000,4200,and 2200 ha,*** the center of Tuy Hoa city,the flooded area at the time of maximum water level was almost 100%.

关键词： Ba River basin coupled hydrodynamic model flooding MikeFlood model

来源：评论

学校读者我要写书评

暂无评论

Investigating the influence through EEG: Using technology to Introduce Cognitive Training for Patients with Mild Dementia 3

Investigating the influence through EEG: Using Technology to...

引用

3rd IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability, ECBIOS 2021

作者： Wu, Pei-Fen Yen, Shao-Wei Fan, Kuang-Yi Department of Information Management and Master program in Digital Content Technology and Management National Changhua University of Education Taiwan Department of Visual Arts and Design National University of Tainan Taiwan

ISBN: (纸本)9781728193045

Many researchers have pointed out that cognitive training can improve the cognitive function of patients with dementia. Therefore, our research developed a digital cognitive application system, "Reminiscence", to observe the brainwave of patients with dementia through cognitive training and to analyze its influence on concentration, memory, and logic. In this study, a total of 16 patients with mild dementia (CDR 0.5 and 1) participated in the measurement of brainwave by using the NeuroSky EEG system in the digital cognitive nostalgia system. The cognitive training is divided into seven parts: photo sharing, song singing, questions in logic, number operation, jigsaw puzzle, weight identification, and silhouette puzzle. Among the seven question types of cognitive training in this experiment, the six items of photo sharing, song singing, questions in logic, number operation, jigsaw puzzle, weight identification, and silhouette puzzle had a good impact on dementia patients and helped their concentration. The improvement of memory and logic had a positive effect on the delay of cognitive function degradation of patients with dementia. The purpose of this study is to stimulate and improve the cognitive function of patients with dementia, thus delaying dementia. This research serves as a reference for the future development of technology-assisted applications for patients with dementia who need cognitive training. © 2021 ECBIOS 2021. All rights reserved.

关键词： Computer circuits

来源：评论

学校读者我要写书评

暂无评论

Inappropriate Benefits and Identification of ChatGPT Misuse in programming Tests: A Controlled Experiment

arXiv

引用

arXiv 2023年

作者： Toba, Hapnes Karnalim, Oscar Johan, Meliana Christianti Tada, Terutoshi Djajalaksana, Yenni Merlin Vivaldy, Tristan Master of Computer Science Study Program Faculty of Information Technology Maranatha Christian University Bandung Indonesia Bachelor of Informatics Study Program Faculty of Information Technology Maranatha Christian University Bandung Indonesia Media Culture Department Faculty of Information Sciences and Arts Toyo University Kawagoe Japan EC-Council TampaFL United States

While ChatGPT may help students to learn to program, it can be misused to do plagiarism, a breach of academic integrity. Students can ask ChatGPT to complete a programming task, generating a solution from other people’s work without proper acknowledgment of the source(s). To help address this new kind of plagiarism, we performed a controlled experiment measuring the inappropriate benefits of using ChatGPT in terms of completion time and programming performance. We also reported how to manually identify programs aided with ChatGPT (via student behavior while using ChatGPT) and student perspective of ChatGPT (via a survey). Seventeen students participated in the experiment. They were asked to complete two programming tests. They were divided into two groups per the test: one group should complete the test without help while the other group should complete it with ChatGPT. Our study shows that students with ChatGPT complete programming tests two times faster than those without ChatGPT, though their programming performance is comparable. The generated code is highly efficient and uses complex data structures like lists and dictionaries. Based on the survey results, ChatGPT is recommended to be used as an assistant to complete programming tasks and other general assignments. ChatGPT will be beneficial as a reference as other search engines do. Logical and critical thinking are needed to validate the result presented by ChatGPT. © 2023, CC BY.

关键词： Students

来源：评论

学校读者我要写书评

暂无评论

Preprocessing Techniques for Enhancing Vision-Based Detection System for Tire Sidewall Extraction

Preprocessing Techniques for Enhancing Vision-Based Detectio...

引用

International Seminar on Research of Information technology and Intelligent Systems (ISRITI)

作者： Jia Hao Loo Veronica Lestari Jauw Chin Seong Lim Khairul-Rijal Sarmin Nunung Nurul Qomariyah Ahmad Nurul Fajar Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Malaysia Malaysia Continental Tyre Technology Centre Malaysia Petaling Jaya Malaysia Computer Science Department School of Computing and Creative Arts Bina Nusantara University Jakarta Indonesia Information System Management Department BINUS Graduate Program-Master Information Systems Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798331519643

ISBN: (纸本)9798331519650

This study aims to develop a system for extracting crucial information from tire sidewalls using Optical Character Recognition (OCR). Initially, images of tire were captured manually by smartphone cameras, including Redmi 9T, iPhone 11, and Galaxy S23 Ultra. The captured images are then transferred to a computer for storage. Subsequently, these images were cropped according to the boundaries identified by Hough Circle Transform (HCT). The cropped images were then further pre-processed. During the pre-processing phase, geometrical transformation and image sharpening techniques are applied to enhance the clarity and readability of the text images. The text is then extracted using Google Vision, with the extracted text categorized by size, DOT, brand and pattern. The results indicated that the effectiveness of image pre-processing was constrained by the accuracy of circle detection, which reached a maximum rate of 87.1%. This causes parts of the text to be cut out inaccurately, leading to a suboptimal extraction accuracy of 55.65%. It is also observed that the Redmi 9T camera produced inconsistent results compared to other devices. Specifically, the iPhone 11 and Samsung Galaxy S23 Ultra demonstrated superior extraction accuracies of 69.71% and 66.37%, respectively, whereas the Redmi 9T achieved a lower extraction accuracy of 37.76%.

关键词： Accuracy Optical character recognition Text categorization Lighting Transforms US Department of Transportation Cameras Tires Internet Data mining

来源：评论

学校读者我要写书评

暂无评论

Research on Cognitive Training of Digital Application System Introducing Reminiscence Therapy for the Experience of People with Dementia 22nd

Research on Cognitive Training of Digital Application System...

引用

22nd International Conference on Human Computer Interaction, HCII 2020

作者： Wu, PeiFen Hu, Hui-Jiun Wang, WenFu Fan, KuangYi Huang, ChunWe Department of Information Management and Master Program in Digital Content Technology and Management National Changhua University of Education Changhua City Taiwan Department of Visual Arts National Chiayi University Chiayi Taiwan Department of Neurology Changhua Christian Hospital Changhua Taiwan The Graduate Institute of Animation and Multimedia Design National University of Tainan Tainan Taiwan

ISBN: (纸本)9783030601485

Dementia is a very common disease among the elderly, and its main symptom is cognitive dysfunction. Relevant research suggests that the course of dementia can be delayed through non-pharmacological intervention. Therefore, the purpose of this research is to develop a cognitive training system with the aid of digital technology to help people with dementia strengthen their brain and slow their cognitive function degradation. This research cooperates with the Changhua Christian Hospital in Taiwan, and the research subjects are a total of 16 mild dementia patients with an average age of 79.6 years old, who are divided into a traditional group and a digital group. The experimental tool is the "Recall" digital cognitive application system, as developed by this research, which includes sharing nostalgic storytelling and the introduction of technology for cognitive training. There are five types of systematic cognitive training questions: quiz questions, calculation questions, puzzle questions, weight questions, and silhouette questions, which mainly train memory, logic, and concentration. After treatment, the subjects are investigated via behavior observation, questionnaires, and interviews to learn their perceptions of the usability and experience of digital cognitive application systems for patients with dementia, and the Pearson correlation coefficient is used to analyze the relevance of the four factors of the experience, namely, feel, sense, relate, and think. The results show that the experience of using this system is significantly related in the factors of sense, relate, and think. On the whole, the application system developed in this research should have benefit in the introduction of technology into reminiscence therapy for patients with mild dementia via cognitive training through games. © 2020, Springer Nature Switzerland AG.

关键词： Correlation methods

来源：评论

学校读者我要写书评

暂无评论

Statistical and Similarity Features Based Recognition of Offline Characters

Statistical and Similarity Features Based Recognition of Off...

引用

Wireless and Optical Technologies (GCWOT), 2020 Global Conference on

作者： Deval Verma Gaurav Verma Chai Ching Tan Worakamol Wisetsri Yannakorn Toprayoon Thanyanant Chansongpol ABESIT Ghaziabad India JIIT Noida India School of Management Mae Fah Luang University Chiang Rai Thailand Faculty of Business & Industrial Develoment King Mongkut's Universiy of Technology North Bangkok Thailand Master of Arts Program Art of Management Rajapark Institute Bangkok Thailand

ISBN: (数字)9781665418607

ISBN: (纸本)9781665448116

This paper uses a blend of similarity and statistical based features for the recognition of offline alphabetic characters in noisy and noiseless environment. The complete representation of the characters is based on the combination of these two different families of features and recognition by different classifiers. The main strategy is to extract complementary similarity measure (CSM) as a feature vector and combined with grey level co-occurrence matrix (GLCM) features. A standard dataset is taken into consideration and recognition is done by artificial neural network (ANN), support vector machine (SVM), Naïve Bayes (NB) classifier and random forest (RF) classifier. The highest average recognition accuracy of all characters is recorded as 94.05% using RF in noiseless environment. In noisy environment, the highest accuracy is recorded as 75.8% by neural network. The analysis proves that the combination of feature works on various types of printed characters in noisy and noiseless environment irrespective of the font of characters.

关键词： Support vector machines Radio frequency Wireless communication Artificial neural networks Feature extraction Character recognition Noise measurement

来源：评论

学校读者我要写书评

暂无评论

Wavelet-based Technique for Mobile Device with Low Resolution Depth Image-based Rendering

引用

Journal of Computers (Taiwan) 2018年第6期29卷 168-180页

作者： Lu, Shengrong Hsia, Chih-Hsien Cheng, Wei-Han Li, Hsin-Ting Chiang, Jen-Shiun Zhang, Ling Tseng, Hsien-Wei Gong, Cihun-Siyong Alex School of Information Engineering Longyan University Longyan city Fujian364012 China Department of Computer Science and Information Engineering National Ilan University Yilan Taiwan Department of Electrical and Computer Engineering Tamkang University New Taiepi Taiwan Department of Electrical Engineering Chang Gung University Taoyuan Taiwan Portable Energy System Group of Green Technology Research Center Chang Gung University Taoyuan Taiwan Department of Ophthalmology Chang Gung Memorial Hospital Taoyuan Taiwan Master Program of Arts and Technology Chinese Culture University Taiwan

Depth Image-Based Rendering (DIBR) is an approach to generate a 3-D image by the original 2-D color image with the corresponding 2-D depth map. Although DIBR is a quite convenient to convert 2D images to 3D ones, there is a disadvantage in DIBR system that it cannot reach real-time processing due to the computing time. Against this, this paper proposes a method which is based on discrete wavelet transform and adaptive edge-oriented smoothing process, to speed up the computing of the system. The proposed method still preserves the original texture and thus the proposed method not only preserves the vertical texture but also reduces at least 60% of the computing time of the DIBR system. © 2018 Computer Society of the Republic of China. All rights reserved.

关键词： Discrete wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

The Impact of Clay Loading on the Relative Intercalation of Poly(Vinyl Alcohol)-Clay Composites

引用

Journal of Materials Science and Chemical Engineering 2016年第10期4卷 20-31页

作者： Moustafa M. Zagho Mahmoud M. Khader Center for Advanced Materials Qatar University Doha Qatar Materials Science and Technology Master Program College of Arts and Science Qatar University Doha Qatar Gas Processing Center College of Engineering Qatar University Doha Qatar

Polymer clay nanocomposites (PCN) materials are industrially applied because of their unique properties. However many of their physical and chemical properties have not been determined. The formed structures of polymer/clay nanocomposite depend on the nature of interactions between polymer chains and clay platelets. According to the possible modes of interactions between polymer matrix and clay sheets, these nanocomposites can be classified into: intercalated, flocculated and exfoliated nanocomposites. In this work, the morphology of the nanocomposite was studied using X-ray diffraction (XRD) and nanoscaning electron microscopy (NSEM). XRD and NSEM measurements confirmed the intercalation between poly(vinyl alcohol) chains and cloisite®20A sheets. Because of the intercalation between the clay platelets and the PVA chains, as the clay concentration increases as the band intensities in FT-IR spectra increase. On the other hand, the XRD did not provide clear shift of any of the clay peaks for PVA/cloisite® 10A nanocomposites and confirm the non-intercalation between PVA matrix and cloisite®10A platelets. The relative intercalation (RI) of PVA/Cloisite®20A nanocomposites declined with increase in the clay loadings. In contrast, for PVA/Cloisite®10A, RI values slightly increased with increasing the clay loading.

关键词： Poly(Vinyl Alcohol) Cloisite Nanocomposites Relative Intercalation FT-IR Spectra

来源：评论

学校读者我要写书评

暂无评论

Getting Undergraduates Ready for China’s Belt and Road Initiative (BRI) Through an Overseas Experiential Learning Project

引用

China and the World 2021年第3期4卷

作者： Andrew Min Han Chin Thomas Menkhoff Hans-Dieter Evers Hoong Hui Daniel Gn Kevin Koh Chester Wey Lee Patrick H. M. Loh Linda Low Sebastian Tan Teng Seng Teo Natalie Yap Lee Kong Chian School of Business Singapore Management University (SMU) 81 Victoria Street Singapore 188065 Singapore Andrew Chin Min Han graduated from Tsinghua University in Beijing China with a Tsinghua–MIT Sloan International Master of Business Administration degree under the Singapore Government’s Asian Business Fellowship (ABF) scholarship program. He is the Program Director of Singapore Management University (SMU) Executive Certificate in China Business and of the SMU Internationalisation Series. He teaches as an Adjunct Faculty of Strategy and Organisation at the SMU Lee Kong Chian School of Business since January 2017. He teaches effectively in English and Chinese. With over 23 years of experience in education and publishing industry in Asia Andrew Chin’s multi-sector career has enabled him to experience the full spectrum of the education industry in his roles as the Singapore EDB Officer handling the World-Class University portfolio and the Specialist Information and Publishing Industry portfolio Chief Representative and Country Manager (China) at Thomson Learning (Fortune 500 company) and Co-founder and CEO for an early childhood education business. Andrew was a Business Development Director (Universities) at Sodexo Group (Fortune 500 company) for the Asia-Pacific region. After working 10 years in Beijing China Andrew returned to Singapore in 2012 to work closely with the top leadership at Singapore Management University on the SMU China & East Asia Initiatives. Thomas Menkhoff is the Professor of Organisational Behaviour & Human Resources (Education) at the Lee Kong Chian School of Business Singapore Management University (SMU). Two of his recent publications include: (i) Menkhoff Thomas Ning Kan Siew Evers Hans-Dieter and Chay Yue Wah eds. Living in Smart Cities: Innovation and Sustainability (New Jersey: World Scientific Publishing 2018) and (ii) Chay Yue Wah Menkhoff Thomas and Low Linda eds. China’s Belt and Road Initiative — Understanding the Dynamics of a Global Transfor

In this paper, we explain how an experiential learning course and study tour to Gansu Province (People’s Republic of China) enabled undergraduates at the Singapore Management University (SMU) to acquire 21st-century competencies and higher-order thinking skills by analyzing and evaluating specific aspects of China’s Belt and Road Initiative (BRI) and China–Singapore (Chongqing) Connectivity Initiative — New International Land–Sea Trade Corridor (CCI-ILSTC) with emphasis on developing viable Go-To-Market (GTM) strategies aimed at selling Gansu produce in four Southeast Asian markets. We share how the course was designed to support the attainment of key learning goals and discuss how we turned pedagogical aspirations into concrete learning outcomes. We introduce key aspects of the so-called “SMU-XO” project that the students conducted in partnership with an industry partner, Pacific International Lines (PIL), and discuss how the project work helped learners to gain global competency by (i) examining critical issues related to BRI such as multi-modal infrastructure connectivity, (ii) appreciating the local perspectives of project stakeholders in Lanzhou and Shanghai and (iii) successfully interacting with people from different cultures, namely China, Indonesia, Vietnam, Malaysia and Thailand.

关键词： Experiential learning Singapore China Belt and Road Initiative (BRI)

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：