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Synergistic sodium alginate- and biochar-immobilized cells for enhancing fermentative hydrogen production from food waste

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Environmental Science and Pollution Research 2024年第56期31卷 64524-64533页

作者： Ngamnurak, phonsini Plangklang, Pensri Pomdaeng, Prakaidao Ko, Ting-Wu Reungsang, Alissara Chu, Chen-Yeon Graduate School Khon Kaen University Khon Kaen40002 Thailand Department of Biology Technology Faculty of Technology Khon Kaen University Khon Kaen40002 Thailand Research Group for Development of Microbial Hydrogen Production Process From Biomass Khon Kaen University Khon Kaen40002 Thailand Institute of Green Products Feng Chia University Taichung Taiwan Ph.D. Program of Mechanical and Aeronautical Engineering Feng Chia University Taichung Taiwan Master’s Program of Green Energy Science and Technology Feng Chia University Taichung Taiwan Academy of Science Royal Society of Thailand Bangkok10300 Thailand

An immobilized hydrogen-producing consortium investigated biohydrogen production from food waste using a combination of sodium alginate and cassava rhizome biochar. We investigated the effect of varying the biochar concentration from 0 to 3% and the size of immobilized cells from 1 to 7 mm. Immobilized cells were prepared using 50% (v/v) enriched hydrogen-producing consortium, 2% (w/v) sodium alginate, and 0 to 3% (w/v) cassava rhizome biochar. The optimal conditions for achieving the highest hydrogen production in the batch fermentation reactor were identified as a biochar concentration of 2% (w/v) and an immobilized cell size of 2 mm. The highest hydrogen yield, maximum hydrogen production rate, and lag time recorded were 0.69 mmol H2/g-COd, 0.02 mmol H2/g-COd.h, and 41.51 h, respectively. This research highlights the potential of cassava biochar technology for efficient biohydrogen production from food waste, contributing to renewable energy generation and sustainable waste management. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Anaerobic digestion

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Teachers’ voice behavior—Principal leadership-driven or teacher self-driven? Evidence from Taiwan

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Psychology in the Schools 2024年第5期61卷 2077-2099页

作者： Hsieh, Chuan-Chung Gunawan, Imam Li, Hui-Chieh Liang, Jyun-Kai Department of Education and Learning Technology National Tsing Hua University Hsinchu Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu Taiwan Department of Educational Administration Universitas Negeri Malang Malang Indonesia Department of Business Administration National Taipei University of Business Taipei Taiwan Department of Applied Psychology Hsuan Chuang University Hsinchu Taiwan

This study aims to explore whether teachers’ voice behavior is triggered by the leadership of the principal or the teachers themselves. Two conceptual frameworks are proposed to guide this research. In addition, the current study analyzes separately two dimensions of teachers’ voice behavior, namely, promotive voice and prohibitive voice. data collected from 884 teachers in Taiwan were analyzed to test the moderated mediation model. Results of the first conceptual framework revealed that under identity leadership, teacher agency moderated significantly the relationship of psychological empowerment with prohibitive voice, but not significantly with promotive voice. Findings of the second conceptual framework confirmed that under teacher agency, identity leadership did not significantly moderate the relationships of psychological empowerment with promotive voice and prohibitive voice. Most important, this study discovered that teacher agency is the main trigger for teachers exhibiting promotive and prohibitive voice behaviors. Finally, implications and limitations of this study are presented. © 2024 Wiley Periodicals LLC.

关键词： identity leadership psychological empowerment Taiwan teacher agency teacher voice behavior

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UNet-based Automatic Multicalss Brain Tissue Segmentation

UNet-based Automatic Multicalss Brain Tissue Segmentation

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Nisar Ahmad Yao-Tien Chen International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan

In brain research, brain tissue segmentation techniques have offered vast aid and possibilities for quantitative analysis of the brain to detect brain tumor and other brain issues. In this paper, UNet-based multiclass brain tissue segmentation is presented. To achieve the best performance of the model, data augmentation techniques are applied. The training, validation and testing of the model is performed on the BrainWeb dataset. The model has achieved improved accuracy and IoU after data augmentation. Both pre and post data augmentation results are presented which show clear improvement in model performance after data augmentation. The achieved IoU for white matter, gray matter and cerebrospinal fluid are 0.84, 0.95 and 0.92, respectively. Our model accurately performed the multiclass brain tissue segmentation and this study proposes a valuable medical aid model.

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Effects of an automated programming assessment system on the learning performances of experienced and novice learners

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Interactive Learning Environments 2023年第8期31卷 5347-5363页

作者： Cheng, Li-Chen Li, Wei Tseng, Judy C. R. Department of Information and Finance Management National Taipei University of Technology Taipei Taiwan STEM Education Research Center Wenzhou University Zhejiang Province Wenzhou China Ph.D. Program in Engineering Science Chung Hua University Hsinchu Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan

programming ability is the core ability of this era and can be obtained and improved through practice. In this paper, an Automated programming Assessment system based on Mastery learning and Peer competition (APAMP) was proposed and developed. APAMP allows students to practice repeatedly by providing immediate feedback after their programs are submitted. It also presents an analytical dashboard as a competition mechanism for students to visualize their learning performance and compare their performance with peers. By incorporating APAMP into programming courses, students can master programming skills through repeated practice, and their enthusiasm for learning programming can also be encouraged by peer competition. To evaluate the effects of APAMP on the learning performance of students with programming language learning and novice students, a quasi-experiment was conducted in a high school. The experimental results showed that the learning achievement of the two groups of students improved significantly. Moreover, the learning attitude of students in the experienced group improved significantly, with the experienced students benefiting more from the system than the novice students. In fact, the novice students showed a significant decline in learning attitude and learning motivation, which was contrary to our intuition. © 2021 Informa UK Limited, trading as Taylor & Francis Group.

关键词： automated programming assessment systems learning performance mastery learning peer competition programming instruction

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Compact Refractive Error Measuring device 6

Compact Refractive Error Measuring Device

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6th IEEE Eurasian Conference on Educational Innovation, ECEI 2023

作者： Yeh, Feng-Ming Chiang, Chun-Yu Chang, Chao-Kai Wang, Hsuan-Fu Tien, Chuen-Lin Chen, der-Chin Department of Optometry Yuanpei University of Medical Technology Hsinchu Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan Department of Aeronautical Engineering National Formosa University Yunlin Taiwan Department of Electrical Engineering Feng Chia University Taichung Taiwan

ISBN: (纸本)9798350334289

In this study, a reflective aspheric optical system is used to establish an eye examination device for distance and near vision tests. The system includes a micro-display with a rotating device, an off-axis parabolic mirror, an off-axis ellipsoid mirror, a chin-fixing bracket, and vision software. The display contents of the micro-display include English C and E charts, Chinese words, graphics, and animation. The off-axis parabolic mirror and off-axis ellipsoid mirror are confocal, and the micro-display is placed at the confocal point. The micro-display is projected through an off-axis parabolic mirror for myopia's distance vision testing, and an off-axis elliptical mirror for myopia's near vision testing. Others, the graphics and animation, provide visual checks for young children. In addition, CCd cameras and AI recognition can be used as visual examinations for people with language impairment. In this study, twenty-five subjects with the refractive error were tested using E-chart and this device to obtain the decimal point VA value, and the trial frame and lens were used to obtain the diopter of glasses. The date of the experimental results was used as a reference value for ophthalmological examination. This system uses an off-axis parabolic mirror and an off-axis ellipsoidal mirror. Optical alignment is a challenge to solve for the system. Students participating in the study obtained good optics training. The advantages of the developed device include the convenience to carry with a multi-purpose and straightforward use. © 2023 IEEE.

关键词： Mirrors

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Eosin-Y containing electrospun fibers for optical ammonia sensing based on wavelength shift 8

Eosin-Y containing electrospun fibers for optical ammonia se...

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8th International Conference of Precision Machinery and Manufacturing technology, ICPMMT 2023

作者： Simanjuntak, M.S. Chu, C.S. Rispandi, R. Putro, d. Department of Mechanical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Research Center for Intelligent Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City24301 Taiwan

Sensors in recent days have been in great demand in industrial zones of simple, low-cost sensors for effectively sensing various gases. This research work develops electrospinning fibers for optical ammonia sensing based on the wavelength shift. The optical sensing fibers were produced approach by the electrospinning technique. The addition of cellulose acetate (CA) matrix with doped Eosin-Y is an NH3 fluorophore. The same light emitting diode (LEd) light source was used to excite NH3-sensitive dyes at 380 nm peak wavelength. display the eosin Y emission spectrum, with a maximum wavelength of 582 nanometers. The observed red emission wavelength shift and fluorescence intensity at 582 nm decreased with increasing concentrations of NH3. The emission spectrum of eosin-Y fluorescence at 582 nanometers is changed with increasing NH3 concentrations ranging from 0 to 500 parts per million. In this work, according to the experiment results, the sensitivity of NH3 sensors is 7.73. Finally, the electrospinning fibers for optical NH3 sensing developed as a result of this research enable effective sensing of NH3 concentrations in practical applications in a variety of fields, including medical and industrial. © Published under licence by IOP Publishing Ltd.

关键词： Light sources

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decoding Efficiency in Construction: A Behavioral dEA Approach to BRICS Economies

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IEEE Access 2024年 12卷 113165-113177页

作者： Yih-Tzoo Chen Thi-Hien dao Nhat-Luong Nhieu Department of Construction Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Ph.D. Program in Engineering Science and Technology College of Engineering National Kaohsiung University of Science and Technology Kaohsiung Taiwan Department of Industrial Engineering and Management National Kaohsiung University of Science and Technology Kaohsiung Taiwan

Amidst the rapidly evolving global economic landscape, the BRICS nations (Brazil, Russia, India, China, and South Africa) have emerged as pivotal players, particularly in the construction sector, which serves as a cornerstone for their continued growth and development. This sector’s performance not only reflects the economic health of these nations but also their capacity for sustainable urban and infrastructural expansion. This study aims to provide a comprehensive evaluative analysis of the construction industry’s efficiency across the BRICS nations using the Bounded Rationality data Envelopment Analysis (BR-dEA) model, incorporating principles from Prospect Theory. Moreover, this study also investigates the relationship between behavioral economics and operational efficiency within this sector. According to well-known prospect theory, the psychological behavioral coefficients applied in the model include the loss aversion, the gain preference, the gain curvature, and the loss curvature coefficients. Key performance indicators for the model were meticulously chosen, normalized, and derived from reputable global and national databases. The findings revealed that efficiency scores generally increased with higher gain preference coefficients across different loss aversion settings, indicating that valuing gains more positively is associated with greater efficiency. Variations were observed among the BRICS countries, suggesting that efficiency is influenced by country-specific behavioral factors. This study contributes to the literature by integrating behavioral economics into efficiency analysis and offers practical insights for policymakers and industry leaders within the BRICS nations. Limitations are acknowledged, primarily relating to data availability and the inherent complexities of behavioral modeling, which provide avenues for future research to expand upon these initial findings.

关键词： Economics Construction industry Economic indicators Industries Sustainable development decision making Socioeconomics

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RepE: unsupervised representation learning for image enhancement in nonlinear optical microscopy

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Optics Letters 2023年第16期48卷 4245-4248页

作者： Jhang, Yun-Jie Lin, Xin Chia, Shih-Hsuan Chen, Wei-Chung Wu, I-Chen Wu, Ming-Tsang Zhuo, Guan-Yu Tai, Tsung-Ming Chen, Hung-Wen International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu30013 Taiwan Institute of Biophotonics National Yang Ming Chiao Tung University Taipei11221 Taiwan Ph.D. Program in Environmental and Occupational Medicine Kaohsiung Medical University Kaohsiung80708 Taiwan Department of Internal Medicine Kaohsiung Medical University Hospital Kaohsiung Medical University Kaohsiung80708 Taiwan Department of Public Health Kaohsiung Medical University Kaohsiung80708 Taiwan Department of Family Medicine Kaohsiung Medical University Hospital Kaohsiung80708 Taiwan Institute of Translational Medicine and New Drug Development China Medical University Taichung404333 Taiwan NVIDIA AI Technology Center NVIDIA Taiwan Institute of Photonics Technologies National Tsing Hua University Hsinchu30013 Taiwan

We present an unsupervised learning denoising method, RepE (representation and enhancement), designed for nonlinear optical microscopy images, such as second harmonic generation (SHG) and two-photon fluorescence (TPEF). Addressing the challenge of effectively denoising images with various noise types, RepE employs an encoder network to learn noise-free representations and a reconstruction network to generate denoised images. It offers several key advantages, including its ability to (i) operate without restrictive statistic assumptions, (ii) eliminate the need for clean-noisy pairs, and (iii) requires only a few training images. Comparative evaluations on real-world SHG and TPEF images from esophageal cancer tissue slides (ESCC) demonstrate that our method outperforms existing techniques in image quality metrics. The proposed method provides a practical, robust solution for denoising nonlinear optical microscopy images, and it has the potential to be extended to other nonlinear optical microscopy modalities. © 2023 Optica Publishing Group.

关键词： Image enhancement

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Atrophy of the cholinergic regions advances from early to late mild cognitive impairment

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Neuroradiology 2024年第4期66卷 543-556页

作者： Lai, Ying-Liang Larry Hsu, Fei-Ting Yeh, Shu-Yi Kuo, Yu-Tzu Lin, Hui-Hsien Lin, Yi-Chun Kuo, Li-Wei Chen, Cheng-Yu Liu, Hua-Shan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University and National Health Research Institutes Taipei Taiwan Department of Biological Science and Technology China Medical University Taichung Taiwan School of Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan CT/MR Division Rotary Trading CO. LTD Taipei Taiwan Institute of Biomedical Engineering and Nanomedicine National Health Research Institutes Miaoli Taiwan Institute of Medical Device and Imaging National Taiwan University College of Medicine Taipei Taiwan Department of Radiology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Medical Imaging Taipei Medical University Hospital Medical University Taipei Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan

Purpose: We investigated the volumetric changes in the components of the cholinergic pathway for patients with early mild cognitive impairment (EMCI) and those with late mild cognitive impairment (LMCI). The effect of patients’ apolipoprotein 4 (APOE-ε4) allele status on the structural changes were analyzed. Methods: Structural magnetic resonance imaging data were collected. Patients’ demographic information, plasma data, and validated global cognitive composite scores were included. Relevant features were extracted for constructing machine learning models to differentiate between EMCI (n = 312) and LMCI (n = 541) and predict patients’ neurocognitive function. The data were analyzed primarily through one-way analysis of variance and two-way analysis of covariance. Results: Considerable differences were observed in cholinergic structural changes between patients with EMCI and LMCI. Cholinergic atrophy was more prominent in the LMCI cohort than in the EMCI cohort (P < 0.05 family-wise error corrected). APOE-ε4 differentially affected cholinergic atrophy in the LMCI and EMCI cohorts. For LMCI cohort, APOE-ε4 carriers exhibited increased brain atrophy (left amygdala: P = 0.001;right amygdala: P = 0.006, and right Ch123, P = 0.032). EMCI and LCMI patients showed distinctive associations of gray matter volumes in cholinergic regions with executive (R² = 0.063 and 0.030 for EMCI and LMCI, respectively) and language (R² = 0.095 and 0.042 for EMCI and LMCI, respectively) function. Conclusions: Our data confirmed significant cholinergic atrophy differences between early and late stages of mild cognitive impairment. The impact of the APOE-ε4 allele on cholinergic atrophy varied between the LMCI and EMCI groups. © 2024, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： APOE-ε4 allele cholinergic pathway Early mild cognitive impairment (EMCI) mild cognitive impairment (MCI) nucleus basalis of Meynert

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Cuisine Image Recognition and Recommender System using Convolutional Neural Network 5

Cuisine Image Recognition and Recommender System using Convo...

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5th IEEE Eurasia Conference on IOT, Communication and Engineering, ECICE 2023

作者： Chang, Chin-Chih Wei, Chi-Hung Wu, Kuan-Yun Kao, Hao-Xiang Hsiao, Sean Chung Hua University Department of Computer Science and Information Engineering Hsinchu Taiwan Chung Hua University Ph.D. Program in Engineering Science Hsinchu Taiwan National Kaohsiung University of Science and Technology Department of Computer Science and Information Engineering Kaohsiung Taiwan Chung Hua University Program of Applied Foreign Language and Smart Commerce Hsinchu Taiwan

ISBN: (纸本)9798350314694

The fusion of technology and culinary exploration has allowed for the emergence of advanced online customer service systems. We developed a novel approach to enhance the dining experience. We used a Cuisine Image Recognition and Recommender System (CIRRS) powered by Convolutional Neural Network (CNN) to identify and suggest diverse cuisines based on visual inputs. CIRRS swiftly identified diverse cuisines from user-captured images, offering information on origin, ingredients, and variations by crawling websites. The system enhanced dining experiences by suggesting personalized menus based on individual preferences and past selections. Extensively tested across various culinary genres, CIRRS consistently demonstrated accuracy and adaptability. User feedback validated its potential to simplify dining choices and elevate satisfaction. This innovative system enriched dining experiences as a valuable tool for culinary enthusiasts, chefs, and restaurateurs, bridging the gap between technology and gastronomy, It also offers a unique way to explore Taiwanese cuisines. © 2023 IEEE.

关键词： convolutional neural network (CNN) deep learning image recognition recommender system web crawler

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