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Design of experiments as a strategy for modulating the colloidal stability, physico-chemical properties and drug-delivery potential of small mesoporous silica nanoparticles

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Advanced Powder technology 2023年第10期34卷

作者： Lestari, Windy Ayu Saputra, Ozi Adi Díaz-García, Diana Wahyuningsih, Sayekti Gómez-Ruiz, Santiago Wibowo, Fajar Rakhman Magister Program in Chemistry Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta57126 Indonesia Department of Chemistry Faculty of Mathematics and Natural Sciences Universitas Sebelas Maret Surakarta57126 Indonesia COMET-NANO Group Departamento de Biología y Geología Física y Química Inorgánica Universidad Rey Juan Carlos Calle Tulipán s/n Madrid MóstolesE-28933 Spain Institute of Chemistry Taiwan International Graduate Program Sustainable Chemical Science and Technology Academia Sinica Taipei115 China Department of Chemical Engineering National Taiwan University Taipei10617 China

The synthesis of highly stable small mesoporous silica nanoparticles (SMSN) in colloid dispersions is still challenging for biomedical applications. This study is focus on the successfully synthesis and formulation of porous, highly dispersed and colloidal stable SMSN via the soft–templating method. This study reports how the differences in synthesis variables, namely, temperature, amount of triethylamine (TeA) and/or cetyltrimethylammonium bromide (CTAB) influence the morphology and textural properties of SMSN. The analysis of the particle size, surface area, pore size, pore volume, zeta potential, and colloidal stability (represent by absorbance decreasing rate) show that temperature is the most influential factor governing the preparation of SMSN. The optimal conditions found for the synthesis of these nanoparticles were 50 °C, using a molar ratio between TeA and CTAB (3.5971: 1). Therefore, our study shows interesting insights on the effect of each variable to control the morphology and properties of small MSN for the design of this kind of nanoparticulated systems, therefore, giving valuable data to be considered for the future construction of tailor-made effective drug carrier materials. © 2023 The Society of Powder technology Japan

关键词： Synthesis (chemical)

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Predicting 1-year mortality of acute kidney injury: A risk model using electronic health records

Predicting 1-year mortality of acute kidney injury: A risk m...

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International Forum on Medical Imaging in Asia 2021, IFMIA 2021

作者： Huang, Chao-Jung Wu, Brian Li, Xiaodong Han, Yongxia Zhang, Yaqi Hao, Shiying Ling, Xuefeng B. National Taiwan University-Stanford Joint Program Office of AI in Biotechnology Ministry of Science and Technology Joint Research Center for Artificial Intelligence Technology and All Vista Healthcare Taipei Taiwan Clinical Research University of California San Diego San DiegoCA92093 United States School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China School of Electrical Power Engineering South China University of Technology Guangzhou China Department of Surgery Stanford University StanfordCA94305 United States Department of Cardiothoracic Surgery Stanford University StanfordCA94305 United States Clinical and Translational Research Program Betty Irene Moore Children's Heart Center Lucile Packard Children's Hospital Palo AltoCA94305 United States

ISBN: (数字)9781510644212

ISBN: (纸本)9781510644205

Acute kidney injury (AKI) is associated with increased morbidity and mortality in intensive care units (ICU). The sudden episode of kidney failure may lead to end-stage renal disease (eSRD) or deaths, and has been related to significantly increasing costs of ICU admissions and treatments. early prediction of AKI inpatient mortality will help decision-making, and benefit resource allocation in ICU. Therefore, it is crucial to develop an early warning system for AKI prediction. We aimed to create a more comprehensive predictive model for 1-year AKI mortality. A cohort of 2,247 patients with AKI was assembled, of which the in-hospital mortality was 36.67%. Longitudinal data of each patient were collected from the Medical Information Mart for Intensive Care III (MIMIC-III) dataset. An interpretable XGBoost risk model was developed and validated by 10-fold cross validation. Model predictors included 11 routinely collected AKI-related laboratory measurements, 8 complications of AKI, and demographic data. An artificial neural network (ANN) model was also developed in parallel for comparison. The XGBoost model demonstrated an area under the receiver-operating characteristic curve (AUC) of 0.83, which was superior to ANN (AUC = 0.79). Our model was able to predict mortality of AKI in ICU with high accuracy. Our model can predict 1-year AKI mortality. Furthermore, it had great potential for identifying at-risk patients in ICU. These findings indicated that our approach might offer opportunities for better resource utilization and better administration of AKI. © 2021 SPIe.

关键词： Neural networks

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MOF-derived spinel NiMn2O4/CoMn2O4 heterojunction and its application in a high-performance photocatalyst and supercapacitor

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Journal of environmental Chemical engineering 2023年第5期11卷

作者： Lee, Kuen-Chan Hsiao, Yu-Sheng Sung, Ming-Yen Chen, Yi-Lun Wu, Nian-Jheng Huang, Jen-Hsien Cho, er-Chieh Weng, Huei Chu Hsu, Shih-Chieh Department of Science Education National Taipei University of Education No. 134 Section 2 Heping E. Road Da-an District Taipei City106 Taiwan Ph.D. Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University 250 Wuxing Street Taipei City110 Taiwan Department of Materials Science and Engineering National Taiwan University of Science and Technology No. 43 Section 4 Keelung Road Da-an District Taipei10607 Taiwan Department of Clinical Pharmacy School of Pharmacy College of Pharmacy Taipei Medical University 250 Wuxing Street Taipei City110 Taiwan Université Paris-Saclay CNRS Institut des Sciences Moléculaires d′Orsay Orsay91405 France Department of Green Material Technology Green Technology Research Institute CPC Corporation No. 2 Zuonan Rd. Nanzi District Kaohsiung City81126 Taiwan Department of Mechanical Engineering Chung Yuan Christian University No. 200 Chungpei Rd Chungli District Taoyuan City32023 Taiwan Department of Chemical and Materials Engineering Tamkang University No. 151 Yingzhuan Road Tamsui District New Taipei City25137 Taiwan

Metal oxide heterojunctions have attracted considerable attention in photocatalyst and supercapacitor applications. In this study, NiMn2O4/CoMn2O4 (NMO/CMO) heterojunctions were synthesized using ternary metal-organic frameworks (MOFs) as precursors. After calcination at 500 °C, the as-prepared NMO/CMO composite maintains the porous sheet-like morphology of the ternary MOF, exhibiting a highly porous structure. The heterostructured NMO/CMO composite demonstrates enhanced photocatalytic performance compared with pure NMO and CMO. This enhancement may be attributed to the well-aligned energy levels at the NMO/CMO interface, which effectively reduces charge recombination and facilitates the efficient transport of photogenerated carriers. In addition, the NMO/CMO heterojunction exhibits enhanced supercapacitor performance owing to the increased number of active redox sites and reduced charge transfer resistance. When tested at 3 A/g, the NMO/CMO composite displays a higher capacitance (756.4 F/g) than pure NMO (579.6 F/g) and CMO (519.6 F/g) and remarkable rate capability, maintaining a capacitance of 639 F/g even at 10 A/g. Notably, asymmetric supercapacitors fabricated using NMO/CMO and activated carbon can achieve an energy density of 32.18 W h/kg at 750 W/kg and superior cycling life, retaining 92.1% of its initial capacitance after 3000 cycles. © 2023 elsevier Ltd

关键词： Heterojunctions

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Peptide-Coated Bacteriorhodopsin-Based Photoelectric Biosensor for Detecting Rheumatoid Arthritis

Biosensors

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Biosensors 2023年第10期13卷 929-929页

作者： Chen, Hsiu-Mei Tsai, Yi-Hsuan Hsu, Chien-Yi Wang, Yong-Yi Hsieh, Cheng-en Chen, Jin-Hua Chang, Yu-Sheng Lin, Ching-Yu Department of Chemical Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Family Medicine Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan Division of Cardiology and Cardiovascular Research Center Department of Internal Medicine Taipei Medical University Hospital Taipei11031 Taiwan Division of Cardiology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Taipei Heart Institute Taipei Medical University Taipei11031 Taiwan Graduate Institute of Data Science College of Management Taipei Medical University Taipei11031 Taiwan Office of Data Science Taipei Medical University Taipei11031 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine Shuang Ho Hospital Taipei Medical University New Taipei City23561 Taiwan Division of Allergy Immunology and Rheumatology Department of Internal Medicine School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan School of Medical Laboratory Science and Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan Ph.D. Program in Medical Biotechnology College of Medical Science and Technology Taipei Medical University Taipei11031 Taiwan

An effective early diagnosis is important for rheumatoid arthritis (RA) management. This study reveals a novel RA detection method using bacteriorhodopsin as a photoelectric transducer, a light-driven proton pump in purple membranes (PMs). It was devised by covalently conjugating a PM monolayer-coated electrode with a citrullinated-inter-alpha-trypsin inhibitor heavy chain 3 (ITIH3)542–556 peptide that recognizes the serum RA-associated autoantibodies. The direct serum coating decreased the photocurrents in the biosensor, with the reduction in the photocurrent caused by coating with an RA-patient serum that is significantly larger than that with a healthy-control serum (38.1% vs. 20.2%). The difference in the reduction in the photocurrent between those two serum groups widened after the serum-coated biosensor was further labeled with gold nanoparticle (AuNP)-conjugated anti-IgA (anti-IgA-AuNP) (53.6% vs. 30.6%). Both atomic force microscopic (AFM) and Raman analyses confirmed the sequential peptide, serum, and anti-IgA-AuNP coatings on the PM-coated substrates. The reductions in the photocurrent measured in both the serum and anti-IgA-AuNPs coating steps correlated well with the results using commercial enzyme-linked immunosorbent assay kits (Spearman rho = 0.805 and 0.787, respectively), with both a sensitivity and specificity close to 100% in both steps. It was shown that an RA diagnosis can be performed in either a single- or two-step mode using the developed biosensor. © 2023 by the authors.

关键词： Peptides

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Comparison of endoscopic third ventriculostomy versus cerebrospinal fluid shunt procedures for the treatment of pediatric hydrocephalus in taiwan

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Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery 2024年第9期40卷 2883-2891页

作者： Shu-Mei Chen Li-Ying Chen Jiann-Her Lin Nicole Salazar Tu-Hsueh Yeh Wei-Lun Lo Tai-Ngar Lui Yi-Chen Hsieh Li-Nien Chien Department of Neurosurgery Taipei Medical University Hospital Taipei Medical University Taipei Taiwan. Department of Surgery School of Medicine Taipei Medical University Taipei Taiwan. Health Data Analytics and Statistics Center Office of Data Science Taipei Medical University Taipei Taiwan. Julius L. Chambers Biomedical/Biotechnology Institute and Department of Biological & Biomedical Sciences North Carolina Central University Durham NC USA. Department of Neurology Taipei Medical University Hospital Taipei Taipei Medical University Taipei Taiwan. Department of Neurology School of Medicine College of Medicine Taipei Medical University Taipei Taiwan. Department of Neurosurgery Shuang Ho Hospital Taipei Medical University Taipei Taiwan. The PhD Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University 250 Wu-Hsing Street Taipei Taiwan. ychsieh@tmu.edu.tw. Institute of Health and Welfare Policy College of Medicine National Yang Ming Chiao Tung University No.155 Sec. 2 Linong St. Beitou District Taipei Taiwan. linien.chien@nycu.edu.tw. Graduate Institute of Data Science College of Management Taipei Medical University Taipei Taiwan. linien.chien@nycu.edu.tw.

PURPOSe:Pediatric hydrocephalus is the most common cause of surgically treatable neurological disease in children. Controversies exist whether endoscopic third ventriculostomy (eTV) or cerebrospinal fluid (CSF) shunt placement is the most appropriate treatment for pediatric hydrocephalus. This study aimed to compare the risk of re-operation and death between the two procedures. MeTHODS:We performed a retrospective population-based cohort study and included patients younger than 20-years-old who underwent CSF shunt or eTV for hydrocephalus from the taiwan national Health Insurance Research Database. ReSULTS:A total of 3,555 pediatric patients from 2004 to 2017 were selected, including 2,340 (65.8%) patients that received CSF shunt placement and 1215 (34.2%) patients that underwent eTV. The incidence of all-cause death was 3.31 per 100 person-year for CSF shunt group and 2.52 per 100 person-year for eTV group, with an adjusted hazard ratio (HR) of 0.79 (95% confidence interval [CI] = 0.66-0.94, p = 0.009). The cumulative incidence competing risk for reoperation was 31.2% for the CSF shunt group and 26.4% for the eTV group, with an adjusted subdistribution HR of 0.82 (95% CI = 0.70-0.96, p = 0.015). Subgroup analysis showed that eTV was beneficial for hydrocephalus coexisting with brain or spinal tumor, central nervous system infection, and intracranial hemorrhage. CONCLUSION:Our data indicates eTV is a better operative procedure for pediatric hydrocephalus when advanced surgical techniques and instruments are available.

关键词： Cerebrospinal shunt Pediatric hydrocephalus Reoperation Third ventriculostomy

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Variational Tensor Network Operator

arXiv

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arXiv 2022年

作者： Chen, Yu-Hsueh Hsu, Ke Tu, Wei-Lin Lee, Hyun-Yong Kao, Ying-Jer Center for Theoretical Physics Department of Physics National Taiwan University Taipei10607 Taiwan Division of Display and Semiconductor Physics Korea University Sejong30019 Korea Republic of Department of Applied Physics Graduate School Korea University Sejong30019 Korea Republic of Interdisciplinary Program in E·ICT-Culture-Sports Convergence Korea University Sejong30019 Korea Republic of Center for Quantum Science and Technology National Taiwan University Taipei10607 Taiwan

We propose a simple and generic construction of the variational tensor network operators to study the quantum spin systems by the synergy of ideas from the imaginary-time evolution and variational optimization of trial wave functions. By applying these operators to simple initial states, accurate variational ground state wave functions with extremely few parameters can be obtained. Furthermore, the framework can be applied to study spontaneously symmetry breaking, symmetry protected topological, and intrinsic topologically ordered phases, and we show that symmetries of the local tensors associated with these phases can emerge directly after the optimization without any gauge fixing. This provides a universal way to identify quantum phase transitions without prior knowledge of the system. Copyright © 2022, The Authors. All rights reserved.

关键词： Tensors

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Development of a respiratory sound labeling software for training a deep learning-based respiratory sound analysis model

arXiv

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arXiv 2021年

作者： Hsu, Fu-Shun Huang, Chao-Jung Kuo, Chen-Yi Huang, Shang-Ran Cheng, Yuan-Ren Wang, Jia-Horng Wu, Yi-Lin Huang, Chien-Wen Tzeng, Tzu-Ling Lai, Feipei Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Heroic Faith Medical Science Corporation Limited New Taipei Taiwan National Taiwan University Stanford Joint Program Office of AI in Biotechnology Ministry of Science and Technology Joint Research Center for Artificial Intelligence Technology All Vista Healthcare Taipei Taiwan Department of Life Science College of Life Science National Taiwan University Taipei Taiwan Institute of Biomedical Sciences Academia Sinica Taipei Taiwan Department of Critical Care Far Eastern Memorial Hospital New Taipei City Taiwan

Respiratory auscultation can help healthcare professionals detect abnormal respiratory conditions if adventitious lung sounds are heard. The state-of-the-art artificial intelligence technologies based on deep learning show great potential in the development of automated respiratory sound analysis. To train a deep learning-based model, a huge number of accurate labels of normal breath sounds and adventitious sounds are needed. In this paper, we demonstrate the work of developing a respiratory sound labeling software to help annotators identify and label the inhalation, exhalation, and adventitious respiratory sound more accurately and quickly. Our labeling software integrates six features from MATLAB Audio Labeler, and one commercial audio editor, RX7. As of October, 2019, we have labeled 9,765 15-second-long audio files of breathing lung sounds, and accrued 34,095 inhalation labels,18,349 exhalation labels, 13,883 continuous adventitious sounds (CASs) labels and 15,606 discontinuous adventitious sounds (DASs) labels, which are significantly larger than previously published studies. The trained convolutional recurrent neural networks based on these labels showed good performance with F1-scores of 86.0% on inhalation event detection, 51.6% on CASs event detection and 71.4% on DASs event detection. In conclusion, our results show that our proposed respiratory sound labeling software could easily pre-define a label, perform one-click labeling, and overall facilitate the process of accurately labeling. This software helps develop deep learning-based models that require a huge amount of labeled acoustic data. Copyright © 2021, The Authors. All rights reserved.

关键词： Software design

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Probing digital game-based science learning experience through eye-tracking 27

Probing digital game-based science learning experience throu...

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27th International Conference on Computers in education, ICCe 2019

作者： Cheng, Bo-Yuan Wang, Hung-Yuan Hsu, Chung-Yuan Chiou, Guo-Li Tsai, Meng-Jung Department of Child Care National Pingtung University of Science and Technology Taiwan Kaohsiung Municipal Fushan Elementary School Taiwan Program of Learning Sciences National Taiwan Normal University Taiwan

ISBN: (纸本)9789869721448

This study aimed to investigate the role the students’ prior knowledge in their visual attention and behavioral patterns while playing a digital game. The participants were 39 fourth graders from an elementary school in the southern part of taiwan. The Tobii 4C eye Tracker (with a sampling rate of 90Hz) was utilized to track the students’ visual attention while they were playing the game. In addition, the lag sequential analyses were conducted to examine the visual transitional patterns of the participants with different levels of prior knowledge. The results of this study showed that students with the lower level of prior knowledge tended to put more mental effort on the trivial information of the game. In contrast, the participants with the higher level of prior knowledge were more likely to employ more effective gameplaying strategies (e.g., evaluation). © ICCe 2019 - 27th International Conference on Computers in education, Proceedings. All rights reserved.

关键词： eye tracking

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enhancing STeM Knowledge and Skills by Making electronic Sound Synthesizer based on TPACK Model 27

Enhancing STEM Knowledge and Skills by Making Electronic Sou...

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27th International Conference on Computers in education, ICCe 2019

作者： Hu, Chih-Chien Yeh, Hui-Chin Chen, Nian-Shing Research Center for Smart Learning National Yunlin University of Science and Technology Taiwan Bachelor Program in Interdisciplinary Studies College of Future National Yunlin University of Science and Technology Taiwan Department of Applied Foreign Languages National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9789869721448

STeM education has received increasing attention in recent years. Thus, this study proposes a knowledge and skill enhancement framework by integrating TPACK for enhancing learners’ STeM knowledge and skills. The main idea of the proposed approach was to conduct a workshop for learners to make an electronic sound synthesizer. Related data were collected along the whole process, the results revealed that the proposed approach significantly helps learners improve their learning performance and fosters their positive attitudes toward STeM. © ICCe 2019 - 27th International Conference on Computers in education, Proceedings. All rights reserved.

关键词： learning systems

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Designing an IoT-based 3D pop-up book to engage children in english vocabulary learning 27

Designing an IoT-based 3D pop-up book to engage children in ...

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27th International Conference on Computers in education, ICCe 2019

作者： Huang, Huai-Hsuan Lin, Vivien Yang, Yu-Fen Chen, Nian-Shing Research Center for Smart Learning National Yunlin University of Science and Technology Taiwan Bachelor Program in Interdisciplinary Studies College of Future National Yunlin University of Science and Technology Taiwan Department of Applied Foreign Languages National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9789869721448

The purpose of this study was to use the Internet of Things (IoT) technology to engage elementary school children in english vocabulary learning through a pet-care game. An IoT system consisting of a three-dimensional (3D) pop-up book, a toy character, an educational robot, and a near-field communication wire network was developed. Based on this proposed IoT-based language learning environment, interactions among individual learners, an educational robot (accompanied by a tablet), and the 3D pop-up book augmented by a sensor network were induced. Two fourth graders followed the english robotic prompts, which were simple sentence structures embedded with target vocabulary, to interact with the 3D pop-up book so that each learner carried out daily life tasks under robotic guidance and human facilitation. A video analysis revealed that the IoT-augmented 3D pop-up book game effectively provided a learning environment for behavioral, cognitive, and emotional engagement. It is thus concluded that creating an IoT-based game environment for young learners and engaging them in interactions can enhance their performance in english vocabulary learning. Instructional designers may find the outcomes of this study useful for creating language learning opportunities with the support of IoT-based technology. © ICCe 2019 - 27th International Conference on Computers in education, Proceedings. All rights reserved.

关键词： Computer aided instruction

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