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Transformative lactera-polypyrrole@carrageenan microparticles leveraging NIR for skin regeneration and stress relief

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International journal of biological macromolecules 2025年 316卷 144436页

作者： Sih-Chi Chuang Shih-An Yu Pei-Chia Hung Andrew E-Y Chuang Jia-Wei Liang Lekshmi Rethi Chih-Kuang Chen Hsu-Wei Fang Hieu Trung Nguyen Hsien-Tsung Lu Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan Doctoral Program of Biochemical and Biomedical Engineering National Taipei University of Technology Taipei 10608 Taiwan. Hsuan Chen Technology CO. LTD. New Taipei City 22055 Taiwan. Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei 11696 Taiwan. Hsuan Chen Technology CO. LTD. New Taipei City 22055 Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan. International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University New Taipei City Taiwan. Department of Physical Medicine and Rehabilitation Chang Gung Memorial Hospital Taoyuan Taiwan. School of Medicine Chang Gung University Taoyuan Taiwan. Graduate Institute of Clinical Medicine College of Medicine Taipei Medical University Taipei Taiwan. Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 10608 Taiwan. Department of Orthopedics and Trauma Faculty of Medicine University of Medicine and Pharmacy at Ho Chi Minh City Ho Chi Minh City 700000 Viet Nam. Department of Orthopedic Taipei Medical University Hospital Taipei City 11031 Taiwan Department of Orthopedics School of Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan International Ph.D. Program in Cell Therapy and Regenerative Medicine College of Medicine Taipei Medical University Taipei 11031 Taiwan. Electronic address: lu7788@tmu.edu.tw.

Effective wound healing remains a significant challenge in regenerative medicine, particularly in minimizing inflammation and promoting scarless recovery. This study introduces a bioengineered LAC-PPy@Car MF composite, designed to leverage near-infrared (NIR)-induced photothermal therapy alongside biotherapeutics to accelerate tissue regeneration. The composite integrates the photothermal properties of polypyrrole (PPy) with the anti-inflammatory and regenerative potential of Lactera (LAC) and Carrageenan (Car). Upon NIR activation, the composite generates localized mild-hyperthermia, reducing oxidative stress, enhancing Aryl Hydrocarbon Receptor (AhR) activity, and upregulating heat shock proteins (HSP). These effects synergistically create a bioactive environment conducive to cellular proliferation and tissue repair. Biochemical evaluations demonstrate that LAC-PPy@Car MF effectively reduces oxidative stress, stimulates fibroblast migration, and promotes the proliferation of skin cells. Immunofluorescence staining reveals significant activation of AhR and HSP in treated tissues, correlating with accelerated cellular proliferation and improved skin architecture. The NIR-triggered photothermal effect enhances the therapeutic potential of the composite, ensuring precise and minimally invasive treatment for burn injuries. These findings position phototherapeutic LAC-PPy@Car MF as a promising candidate for advanced wound healing applications. Its dual functionality, combining photothermal therapy with bioactive healing properties, offers a transformative approach to regenerative medicine, paving the way for improved clinical outcomes in wound care.

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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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Performance of the continuous review order-up-to policy for on-line stores under various random demand and storage capacity limitation 15

Performance of the continuous review order-up-to policy for ...

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Simulation Winter Conference

作者： Chao-Hua Chen Che-Cheng Yeh Dept. of Transportation Technology and Logistics Chung Hua University Hsinchu Taiwan Ph.D. Program of Technology Management Chung Hua University Hsinchu Taiwan

ISBN: (纸本)9781467397414

Effects of demand variations on inventory management has long been recognized in academics and practice. disney et al. (2015) showed that the periodic review order-up-to policy is more feasible for controlling fill rate and avoid over investment of warehouse under auto-correlated normally distributed demand of consumer electronics. Jalali and Nieuwenhuyse (2015) concluded that simulation method is more feasible in reflecting real stock keeping and managing process in terms of the composition of the supply chain, commodity types, stock picking and delivery, and lead-time variations. They also indicated that simulation optimization method is better than analytical models in investigation of real world inventory management problems, which involve with intractable random demands and multiple operational periods in supply chains with multiple echelons.

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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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A frequent itemset mining algorithm for solving facility partition location covering problem

Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute ...

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Chung Cheng Ling Hsueh Pao/Journal of Chung Cheng Institute of technology 2017年第1期46卷 18-29页

作者： Wu, Chienwen Chu, Heng-Hsing Chen, You-Shyang Department of Information and FinanceManagement National Taipei University of Technology Taiwan College of Management Ph.D. Program in Management National Taipei University of Technology Taiwan Department of Information Management Hwa HsiaUniversity of Technology Taiwan

In this paper, we considera location covering problem fora partitionedfacilityplanning. due to the size constraint of a space, a large facility cannot be well accommodated in a locationand must be partitioned intoseveral types ofsub-facilitiesto set up in different locations. Thedifferent types of sub-facilities have to work collaboratedtofulfillorders from all demands. This studyproposesamathematical model of addressing facility partition location covering problem(FPLCP) andusesthemaximal frequentitemsetalgorithm(MAFIA)to solve this *** are performedto compare the solving efficiency with well-known CPLEX, and the empirical results show that the MAFIAgainsmore efficient than CPLEX.

关键词： Location

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The Medical technology degree—A Multidisciplinary Approach

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Lab Medicine 1977年第7期8卷 6-9页

作者： Holland, Jack C. Nevalainen, david E. Soldan, Alice Jack C. Holland Ph.D. C.C. is Director David E. Nevalainen Ph.D. MT(ASCP) is Associate Director and Alice Soldan M.S. MT(ASCP) is Instructor Medical Technology Program Michigan Technological University Houghton. The Medical Technology Program at Michigan Technological University was established in 1958. About 50 students yearly are graduated from the program.

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The Constructivist Learning Environments Model Enhancing Cognitive Flexibility for Higher Education: Validation phase

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Procedia - Social and Behavioral Sciences 2012年 46卷 3764-3770页

作者： deejring Kwanjai Chaijaroen Sumalee Ph.D. Program Student Department of Educational Technology Faculty of Education Khon Kaen University 40002 Thailand Associate Professor Doctor Department of Educational Technology Faculty of Education Khon Kaen University 40002 Thailand

The purposes of this research are to examine the internal validation and the external validation of the development of the constructivist learning environments model enhancing cognitive flexibility for higher education. The target group for the internal validation consists of 5 experts, 1 Instructional designer, 2 developers of constructivist web-based learning environment, and 6 lecturers. The target group for the external validation consists of 43 second year students studying in Computer education field in the Faculty of Science and technology at Nakhon Ratchasima Rajabhat University. The Research developmental phase II ( Richey and Klein, 2007 ): Model validation is employed in this study. The Results from the Model Validation are revealed as follows. Firstly, for the internal validation, the model has been examined by 5 experts and it is found that the model design is consistent with underlined theories based on Instruction design theories (Id Theories). Secondly, for the external validation, it exposes that the students learning with model have high levels of cognitive flexibility and achievements. The average scores of cognitive flexibility test are 63.72 percent over the 60 percent threshold. The average scores of achievements test are 74.9 percent over the 70 percent threshold. The students' opinions toward the development of the constructivist learning environments model enhancing cognitive flexibility are appropriate in all aspects and the model can enhance students' cognitive flexibility.

关键词： Instructional design Constructivism Cognitive flexibility theory Authentic learning Cognitive process Collaborative learning

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A Neural-Based Scheme for Simultaneously determining Membership and Class of String Identifiers

A Neural-Based Scheme for Simultaneously Determining Members...

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International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

作者： Heng Ma Ying-Chih Tseng Department of Industrial Management Chung Hua University Hsinchu Taiwan Ph.D. Program of Technology Management Chung Hua University Hsinchu Taiwan

Membership determination of text strings has been an important procedure for analyzing textual data of a tremendous amount, for which the Bloom filter has been a well-known approach because of its succinct structure. As membership with classification determination is becoming increasingly desirable, parallel Bloom filters are often implemented for coping with the additional classification requirement. The parallel Bloom filters, however, tends to produce more false-positive errors since membership checking must be performed on each of the parallel layers. We propose a scheme based on a neural network mapping, which only requires a single-layer operation to simultaneously obtain both the membership and classification information. Simulation results show that the proposed scheme committed less false-positive errors than the parallel Bloom filters using the same computational parameters.

关键词： Payloads Arrays programming Neural networks Information filters Memory management

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Towards low-power, low-profile avionics architecture and control for micro aerial vehicles

Towards low-power, low-profile avionics architecture and con...

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2011 IEEE Aerospace Conference, AERO 2011

作者： Ratti, Jayant Moon, Jung-Ho Vachtsevanos, George Ph.D. Robotics Program Electrical and Computer Engg. Dept. Georgia Institute of Technology Atlanta GA 30332 United States Kangnung National Univ. Korea Republic of Georgia Institute of Technology Atlanta GA 30332 United States Electrical and Computer Engg. Dept. Georgia Institute of Technology Atlanta GA 30332 United States

ISBN: (纸本)9781424473502

The conventional Mini and Large scale UAV systems span anywhere from approximately 12 inches to 12 feet;endowing them with larger propulsion systems, batteries/fuel-tanks, which in turn provide ample footprint and power reserves for on-board avionics and wireless telemetry. The limitations thus imposed become apparent when shifting to Micro Aerial Vehicles (MAVs) and trying to equip them with equal or near-equal processing, sensing and communication capabilities, as their larger scale cousins. The conventional MAV as outlined by dARPA is a vehicle that can have a maximum dimension of 6 inches and weighs no more than 100 grams. Under these tight constraints, the footprint, weight and power reserves available to on-board avionics is drastically reduced. The paper presents the advent of a new line of Micro Architecture and Control (MARC) avionics systems with very low-power, multi-sensor, multi-processor avionics interconnect architecture designed specifically with the power and payload constraints of MAVs in mind. The results and a Real Time Operating System (RTOS) based Hardware in the Loop Simulation (HILS), flight control is discussed towards the end. © 2011 IEEE.

关键词： Flight simulators

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A High-step-down Converter with Negative Output Voltage

A High-step-down Converter with Negative Output Voltage

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International Conference on Power Electronics (ICPE)

作者： Yeu-Torng. Yau Thanh-phu. Luu Ph.D. Program PTOEECS National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yuuuuuuui University of Technology Taichung Taiwan

This paper proposes a new high step-down converter with negative voltage output, which has the following advantages: (1) Compared to conventional buck-boost or SEPIC converters, the proposed converter operates with zero voltage turn-on function. (2) The voltage gain of this circuit does not contain non-linear components, and the control is simple and can be driven by existing buck control ICs. (3) due to the dC blocking capacitor between the output and input terminals, the high voltage at the input will not pass through to the output when the converter fails to be controlled. The load is protected. Finally, a prototype is completed and the proposed method is verified to be feasible.

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