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Research Square 2020年

作者： Ab Rahman, Tasiransurini Ab Aziz, Nor Azlina Ibrahim, Zuwairie Aziz, Nor Hidayati Abdul Shapiai, Mohd Ibrahim Suri, Jasjit S. Department of Electronic Engineering Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor 86400 Malaysia Faculty of Engineering and Technology Multimedia University Melaka75450 Malaysia College of Engineering Universiti Malaysia Pahang Pahang 26300 Malaysia Malaysia Japan International Institute of Technology Universiti Teknologi Malaysia Kuala Lumpur54100 Malaysia Advance Knowledge Engineering Center Global Biomedical Technologies Inc. RosevilleCA95661 United States

This paper investigates the potential of the ultimate iterative unbiased finite impulse response (UFIR) filter as a source of inspiration in a population-based metaheuristic algorithm. Here, a new algorithm inspired by the measurement and estimation procedures of the UFIR filter named the Multi-Agent Finite Impulse Response Optimizer (MAFIRO) for solving numerical optimization problems is proposed. MAFIRO works with a set of agents where each performs the measurement and estimation to find a solution. MAFIRO employs a random mutation of the best-so-far solution and the shrinking local neighborhood method to balance between the exploration and exploitation phases during the optimization process. Subsequently, the performance of MAFIRO is tested by solving the benchmark test suite of the IEEE Congress on Evolutionary Computation 2014. The benchmark is composed of 30 mathematical functions. The competency of MAFIRO is compared with the Particle Swarm Optimization algorithm, Genetic Algorithm, and Grey Wolf Optimizer. The results show that MAFIRO leads in 23 out of 30 functions and has the highest Friedman rank. MAFIRO performs significantly better than the other tested algorithms. Based on the findings, we show that the concept of the UFIR filter is a good inspiration for a population-based metaheuristic algorithm. © 2020, CC BY.

关键词： Estimation

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DNA origami route for nanophotonics

arXiv

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arXiv 2021年

作者： Kuzyk, Anton Jungmann, Ralf Acuna, Guillermo P. Liu, Na Max Planck Institute for Intelligent Systems Heisenbergstrasse 3 StuttgartD-70569 Germany Department of Neuroscience and Biomedical Engineering Aalto University School of Science P.O. Box 12200 AaltoFI-00076 Finland Department of Physics Center for Nanoscience Ludwig Maximilian University Munich80539 Germany Max Planck Institute of Biochemistry Martinsried near Munich82152 Germany Braunschweig University of Technology Braunschweig38106 Germany Kirchhoff Institute for Physics University of Heidelberg Im Neuenheimer Feld 227 HeidelbergD-69120 Germany

Specificity and simplicity of the Watson-Crick base pair interactions make DNA one of the most versatile construction materials for creating nanoscale structures and devices. Among several DNA-based approaches, the DNA origami technique excels in programmable self-assembly of complex, arbitrary shaped structures with dimensions of hundreds of nanometers. Importantly, DNA origami can be used as templates for assembly of functional nanoscale components into three-dimensional structures with high precision and controlled stoichiometry. This is often beyond the reach of other nanofabrication techniques. In this Perspective, we highlight the capability of the DNA origami technique for realization of novel nanophotonic systems. First, we introduce the basic principles of designing and fabrication of DNA origami structures. Subsequently, we review recent advances of the DNA origami applications in nanoplasmonics, single-molecule and super-resolution fluorescent imaging, as well as hybrid photonic systems. We conclude by outlining future prospects of the DNA origami technique for advanced nanophotonic systems with tailored functionalities. © 2021, CC BY.

关键词： DNA

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A Smartphone-Based Model of Care to Support Patients With Cardiac Disease Transitioning From Hospital to the Community (TeleClinical Care): Pilot Randomized Controlled Trial

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JMIR mHealth and uHealth 2022年第2期10卷 e32554页

作者： Indraratna, Praveen Biswas, Uzzal McVeigh, James Mamo, Andrew Magdy, Joseph Vickers, Dominic Watkins, Elaine Ziegl, Andreas Liu, Hueiming Cholerton, Nicholas Li, Joan Holgate, Katie Fildes, Jennifer Gallagher, Robyn Ferry, Cate Jan, Stephen Briggs, Nancy Schreier, Guenter Redmond, Stephen J Loh, Eugene Yu, Jennifer Lovell, Nigel H Ooi, Sze-Yuan Department of Cardiology Prince of Wales Hospital Randwick NSW Australia Prince of Wales Clinical School UNSW Sydney Sydney NSW Australia Graduate School of Biomedical Engineering UNSW Sydney Sydney NSW Australia Department of Cardiology The Sutherland Hospital Sydney NSW Australia Center for Health and Bioresources Austrian Institute of Technology Graz Austria The George Institute for Global Health Sydney NSW Australia Susan Wakil School of Nursing and Midwifery Charles Perkins Centre University of Sydney Sydney NSW Australia National Heart Foundation of Australia Sydney NSW Australia Stats Central Mark Wainwright Analytical Centre UNSW Sydney Sydney NSW Australia School of Electrical and Electronic Engineering University College Dublin Dublin Ireland

Background: Patients hospitalized with acute coronary syndrome (ACS) or heart failure (HF) are frequently readmitted. This is the first randomized controlled trial of a mobile health intervention that combines telemonitoring and education for inpatients with ACS or HF to prevent readmission. Objective: This study aims to investigate the feasibility, efficacy, and cost-effectiveness of a smartphone *** model of care (TeleClinical Care [TCC]) in patients discharged after ACS or HF admission. Methods: In this pilot, 2-center randomized controlled trial, TCC was applied at discharge along with usual care to intervention arm participants. Control arm participants received usual care alone. Inclusion criteria were current admission with ACS or HF, ownership of a compatible smartphone, age ≥18 years, and provision of informed consent. The primary end point was the incidence of unplanned 30-day readmissions. Secondary end points included all-cause readmissions, cardiac readmissions, cardiac rehabilitation completion, medication adherence, cost-effectiveness, and user satisfaction. Intervention arm participants received the app and Bluetooth-enabled devices for measuring weight, blood pressure, and physical activity daily plus usual care. The devices automatically transmitted recordings to the patients' smartphones and a central server. Thresholds for blood pressure, heart rate, and weight were determined by the treating cardiologists. Readings outside these thresholds were flagged to a monitoring team, who discussed salient abnormalities with the patients' usual care providers (cardiologists, general practitioners, or HF outreach nurses), who were responsible for further management. The app also provided educational push notifications. Participants were followed up after 6 months. Results: Overall, 164 inpatients were randomized (TCC: 81/164, 49.4%;control: 83/164, 50.6%;mean age 61.5, SD 12.3 years;130/164, 79.3% men;128/164, 78% admitted with ACS). There were 11 unp

关键词： Digital health Heart failure Ischemic heart disease MHealth Mobile phone Telemedicine

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Bismuth-doped fiber pulse source with versatile states

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Chinese Optics Letters 2025年第7期23卷 071401-071401页

作者： Xiaoxiao Wen Minjie Pan Mengting Guo Tian Qiao Chiyi Wei Meng Zhou Chunlei Yu Xiaoming Wei Zhongmin Yang Kenneth K. Y. Wong Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong 999077 China School of Physics and Optoelectronics State Key Laboratory of Luminescent Materials and Devices Guangdong Engineering Technology Research and Development Center of Special Optical Fiber Materials and Devices Guangdong Provincial Key Laboratory of Fiber Laser Materials and Applied Techniques South China University of Technology Guangzhou 510640 China Key Laboratory of Materials for High Power Laser Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai 201800 China Advanced Biomedical Instrumentation Centre Hong Kong Science Park Hong Kong 999077 China

We demonstrate a versatile bismuth-doped fiber pulse source that is seeded by a mode-locked fiber laser operating in different regimes with different net dispersions in the same cavity, including the square-wave noise-like pulse regime with anomalous net dispersion at 1331 nm and the multi-pulse soliton regime with normal net dispersion at 1320 nm. The versatile pulse evolutions and the multi-pulse dynamics in these two regimes are investigated under different pump powers or polarization states. The seed pulses are then amplified by a bismuth-doped fiber amplifier, which boosts the pulse energy to 21 nJ with a slope efficiency of 21.3% without power saturation and is anticipated to be useful for practical applications.

关键词： Fiber Bragg gratings High power lasers Mode-locked fiber lasers Optical coherence tomography Raman fiber lasers Semiconductor saturable absorber mirrors

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Self-Assembled Peptide-Derived Proteolysis-Targeting Chimera (PROTAC) Nanoparticles for Tumor-Targeted and Durable PD-L1 Degradation in Cancer Immunotherapy

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Angewandte Chemie 2024年第5期137卷

作者： Dr. Yujeong Moon Dr. Hanhee Cho Dr. Jinseong Kim Dr. Sukyung Song Jung Yeon Park Dr. Jin Young Min Dr. Eun Hee Han Prof. Yongju Kim Prof. Joon-Kyung Seong Dr. Man Kyu Shim Prof. Kwangmeyung Kim College of Pharmacy Graduate School of Pharmaceutical Sciences Ewha Womans University Seoul 03760 Republic of Korea Medicinal Materials Research Center Biomedical Research Division Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea Department of Bioengineering Korea University Seoul 02841 Republic of Korea KU-KIST Graduate School of Converging Science and Technology Korea University Seoul 02841 Republic of Korea Research Center for Bioconvergence Analysis Korea Basic Science Institute (KBSI) Cheongju 28119 Republic of Korea Department of Toxicology College of Pharmacy Chungnam National University Daejeon 34134 Republic of Korea Department of Integrative Energy Engineering Korea University Seoul 02841 Republic of Korea

Proteolysis-targeting chimeras (PROTACs) are a promising technique for the specific and durable degradation of cancer-related proteins via the ubiquitin-proteasome system in cancer treatment. However, the therapeutic efficacy of PROTACs is restricted due to their hydrophobicity, poor cell permeability and insufficient tumor-targeting ability. Herein, we develop the self-assembled peptide-derived PROTAC nanoparticles (PT-NPs) for precise and durable programmed death-ligand 1 (PD−L1) degradation in targeted tumors. The PT-NPs with an average size of 211.8 nm are formed through the self-assembly of amphiphilic peptide-derived PROTAC (CLQKTPKQC-FF-ALAPYIP), comprising a PD−L1-targeting ‘CLQKTPKQC’, self-assembling linker ‘FF’ and E3 ligase recruiting ‘ALAPYIP’. Particularly, PT-NPs strongly bind to tumor cell surface PD−L1 to form PD−L1/PT-NPs complex, then internalized through receptor-mediated endocytosis and degraded in lysosomes. Second, free PROTACs released from PT-NPs to the cytoplasm further induce the durable proteolysis of cytoplasmic PD−L1 via the ubiquitin-proteasome system. In colon tumor models, intravenously injected PT-NPs accumulate significantly at targeted tumor tissues through nanoparticle-derived passive and active targeting. At the targeted tumor tissues, PT-NPs promote durable PD−L1 degradation and ultimately trigger a substantial antitumor immune response. Collectively, this study provides valuable insights into the rational design of self-assembled peptide-derived PROTAC nanoparticles to ensure noticeable accuracy and enhanced efficacy in cancer treatment.

关键词： Proteolysis-targeting chimera (PROTAC) immune checkpoint inhibitor programmed death-ligand 1 (PD−L1) nanoparticles cancer immunotherapy

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Corrigendum to "Ginsenoside-Re-rich ethanol extract of Panax ginseng berry enhances healthspan extension via mitostasis and NAD metabolism" [J Ginseng Res Volume 49, Issue 1, January 2025, Pages 92-102]

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Journal of ginseng research 2025年第2期49卷 224页

作者： Minjeong Kim Su Hwan Kim Juewon Kim Eun-Ju Jin Shibo Wei Yunju Jo Chang-Myung Oh Ki-Tae Ha Jong-Hwa Roh Wan-Gi Kim Donghyun Cho Young Jin Choi Su Myung Jung Dongryeol Ryu Department of Molecular Cell Biology Sungkyunkwan University (SKKU) School of Medicine Suwon Republic of Korea. Department of Agricultural Biotechnology Seoul National University Gwanak-gu Seoul Republic of Korea. Research and Innovation Center AMOREPACIFIC Yongin Republic of Korea. Department of Biomedical Science and Engineering Gwangju Institute of Science and Technology (GIST) Gwangju Republic of Korea. Department of Physiology KonKuk University School of Medicine Chungju Republic of Korea. Department of Korean Medical Science School of Korean Medicine Pusan National University Yangsan Gyeongsangnam-do Republic of Korea. Department of Biological Sciences Sungkyunkwan University (SKKU) Suwon Republic of Korea.

[This corrects the article DOI: 10.1016/***.2024.11.002.].

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Digital biomarkers and artificial intelligence for mass diagnosis of atrial fibrillation in a population sample at risk of sleep disordered breathing

arXiv

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arXiv 2020年

作者： Chocron, Armand Efraim, Roi Mandel, Franck Rueschman, Michael Palmius, Niclas Penzel, Thomas Elbaz, Meyer Behar, Joachim A. Faculty of Biomedical Engineering Technion Israel Institute of Technology Haifa Israel Faculty of Electrical Engineering Technion Israel Institute of Technology Haifa Israel Cardiology department Rambam Hospital Haifa Israel CHU Rangueil Toulouse France Program in Sleep Medicine Epidemiology Division of Sleep and Circadian Disorders Department of Medicine Brigham and Women’s Hospital BostonMA United States Wolfson College OxfordOX2 6UD United Kingdom Interdisciplinary Center of Sleep Medicine Charité Universitätsmedizin Berlin Germany Saratov State University Saratov Russia Faculty of Biomedical Engineering Technion-IIT Haifa Israel

Study Objectives: Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with a fivefold increase in stroke risk. Many individuals with AF go undetected and thus untreated. These individuals are often asymptomatic or have paroxysmal AF. There are ongoing debates on whether mass screening for AF in the general population is to be recommended. However, there is incentive in performing systematic screening for specific at risk groups such as individuals suspected of sleep-disordered breathing where an important association between AF and obstructive sleep apnea (OSA) has been demonstrated. In this research we introduce a new methodology leveraging digital biomarkers and recent advances in artificial intelligence (AI) for the purpose of mass AF diagnosis from hours of single channel electrocardiogram (ECG) recording. We demonstrate the value of such methodology in a large population sample at risk of sleep disordered ***: Four databases, totaling n=3,088 patients and p=26,913 hours of continuous single channel electrocardiogram raw data were used. Three of the databases (n=125, p=2,513) were used for training a machine learning model in recognizing AF events from beat-to-beat interval time series. The visit 1 of the sleep heart health study database (SHHS1, n=2,963, p=24,400) consists of overnight polysomnographic (PSG) recordings, and was considered as the test set to evaluate the feasibility of identifying prominent AF rhythm from PSG recordings. In SHHS1, expert inspection identified a total of 70 patients with a prominent AF ***: Model prediction on the SHHS1 showed an overall Se = 0.97, Sp = 0.99, NPV = 0.99, PPV = 0.67 in classifying individuals with or without prominent AF. PPV was non-inferior (p=0.03) for individuals with an apnea-hypopnea index (AHI) ≥ 15 versus AHI Conclusions: Individuals with prominent AF can be automatically diagnosed from an overnight single channel ECG recording, with an accuracy unaffected b

关键词： Diseases

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Comparison of laboratory-acquired ZIF-8 drug delivery-related parameters with literature-based data via machine learning tools

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Materials Today Chemistry 2025年 47卷

作者： Niki Pouyanfar Niloofar Masoumi Mahnaz Ahmadi Seyed Mohammad Ayyoubzadeh Golrokh Farnam Elham Asadian Farshid Sefat Farshad H. Shirazi Fatemeh Ghorbani-Bidkorpeh Department of Pharmaceutics and Pharmaceutical Nanotechnology School of Pharmacy Shahid Beheshti University of Medical Sciences Tehran Iran Student Research Committee School of Pharmacy Shahid Beheshti University of Medical Sciences Tehran Iran Medical Nanotechnology and Tissue Engineering Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Tissue Engineering and Applied Cell Sciences School of Advanced Technologies in Medicine Shahid Beheshti University of Medical Sciences Tehran Iran Department of Digital Health School of Medicine Tehran University of Medical Sciences Tehran Iran Health Information Management Research Center Tehran University of Medical Sciences Tehran Iran Pharmaceutical Sciences Research Center Shahid Beheshti University of Medical Sciences Tehran Iran Department of Biomedical Engineering School of Engineering University of Bradford Bradford United Kingdom Interdisciplinary Research Centre in Polymer Science & Technology (Polymer IRC) University of Bradford Bradford United Kingdom Department of Pharmacology and Toxicology School of Pharmacy Shahid Beheshti University of Medical Sciences Tehran Iran

Nanotechnology has been moving forward at a fast pace in recent years. Advancements in this field have led to the development of various nanostructures in diverse fields. Nanomedicine, as an important area of research, has resulted in great progression in disease treatment, from cancer to tissue regeneration. Coupling this technology with artificial intelligence (AI) has resulted in major steps that could ease the process of synthesis, characterization, and in vitro and in vivo evaluation of the formed nanoparticle, thus reaching better outcomes with less effort and cost. Metal-organic frameworks (MOFs) are among the nanostructures with important features ranging from great loading and porosity to imaging capabilities and modification potential. Facilitating the synthesis of MOF nanoparticles with novel techniques and AI assistance may have a great impact on the future of nanomedicine in general. In this study, MOF nanoparticles prepared via two different routes (room temperature and microfluidics) and loaded with different drugs (metformin hydrochloride and rosuvastatin calcium) were characterized and assessed in vivo, the results were then compared to the predictions made with machine learning methods, to open up ways for utilization of AI tools without laboratory efforts. Using machine learning techniques such as Random Forest and XGBoost, we achieved improved prediction accuracy for encapsulation efficiency (RMSE = 14.72) and cumulative drug release (RMSE = 18.91). SHAP analysis highlighted critical parameters such as drug hydrophobicity, particle size, and synthesis route as major influencers.

关键词： Controlled drug delivery

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Structural basis for a conserved neutralization epitope on the receptor-binding domain of SARS-CoV-2

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Nature Communications 2023年第1期14卷 311-311页

作者： Huang, Kuan-Ying A. Chen, Xiaorui Mohapatra, Arpita Nguyen, Hong Thuy Vy Schimanski, Lisa Tan, Tiong Kit Rijal, Pramila Vester, Susan K. Hills, Rory A. Howarth, Mark Keeffe, Jennifer R. Cohen, Alexander A. Kakutani, Leesa M. Wu, Yi-Min Shahed-Al-Mahmud, Md Chou, Yu-Chi Bjorkman, Pamela J. Townsend, Alain R. Ma, Che Graduate Institute of Immunology and Department of Pediatrics National Taiwan University Hospital College of Medicine National Taiwan University Taipei Taiwan Genomics Research Center Academia Sinica Taipei Taiwan College of Medicine Chang Gung University Taoyuan Taiwan Chemical Biology and Molecular Biophysics program Taiwan International Graduate Program Academia Sinica Taipei Taiwan Institute of Biochemical Sciences National Taiwan University Taipei Taiwan MRC Human Immunology Unit Weatherall Institute of Molecular Medicine University of Oxford John Radcliffe Hospital Oxford United Kingdom Department of Biochemistry University of Oxford Oxford OX1 3QU United Kingdom Division of Biology and Biological Engineering California Institute of Technology Pasadena United States Institute of Biological Chemistry Academia Sinica Taipei 11529 Taiwan Biomedical Translation Research Center Academia Sinica Taipei 11529 Taiwan Department of Pharmacology University of Cambridge Tennis Court Road Cambridge CB2 1PD United Kingdom

Antibody-mediated immunity plays a crucial role in protection against SARS-CoV-2 infection. We isolated a panel of neutralizing anti-receptor-binding domain (RBD) antibodies elicited upon natural infection and vaccination and showed that they recognize an immunogenic patch on the internal surface of the core RBD, which faces inwards and is hidden in the “down” state. These antibodies broadly neutralize wild type (Wuhan-Hu-1) SARS-CoV-2, Beta and Delta variants and some are effective against other sarbecoviruses. We observed a continuum of partially overlapping antibody epitopes from lower to upper part of the inner face of the RBD and some antibodies extend towards the receptor-binding motif. The majority of antibodies are substantially compromised by three mutational hotspots (S371L/F, S373P and S375F) in the lower part of the Omicron BA.1, BA.2 and BA.4/5 RBD. By contrast, antibody IY-2A induces a partial unfolding of this variable region and interacts with a conserved conformational epitope to tolerate all antigenic variations and neutralize diverse sarbecoviruses as well. This finding establishes that antibody recognition is not limited to the normal surface structures on the RBD. In conclusion, the delineation of functionally and structurally conserved RBD epitopes highlights potential vaccine and therapeutic candidates for COVID-19. © 2023, The Author(s).

关键词： Antibodies SARS-CoV-2

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Understanding the Role of Parallel Pathways via In-Situ Switching of Quantum Interference in Molecular Tunneling Junctions

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Angewandte Chemie 2020年第34期132卷 14414-14418页

作者： Soni S. Ye G. Zheng J. Zhang Y. Asyuda A. Zharnikov M. Hong W. Chiechi R.C. Stratingh Institute for Chemistry University of Groningen Nijenborgh 4 Groningen 9747 AG Netherlands Zernike Institute for Advanced Materials Nijenborgh 4 Groningen 9747 AG Netherlands Center for Biomedical Optics and Photonics (CBOP) & College of Physics and Optoelectronic Engineering Key Laboratory of Optoelectronic Devices and Systems Shenzhen University Shenzhen 518060 China State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical Engineering Xiamen University Xiamen 361005 China Microsystems Department of Mechanical Engineering and Institute for Complex Molecular Systems Eindhoven University of Technology Eindhoven 5600 MB Netherlands Applied Physical Chemistry Heidelberg University Im Neuenheimer Feld 253 Heidelberg D-69120 Germany

This study describes the modulation of tunneling probabilities in molecular junctions by switching one of two parallel intramolecular pathways. A linearly conjugated molecular wire provides a rigid framework that allows a second, cross-conjugated pathway to be effectively switched on and off by protonation, affecting the total conductance of the junction. This approach works because a traversing electron interacts with the entire quantum-mechanical circuit simultaneously; Kirchhoff's rules do not apply. We confirm this concept by comparing the conductances of a series of compounds with single or parallel pathways in large-area junctions using EGaIn contacts and single-molecule break junctions using gold contacts. We affect switching selectively in one of two parallel pathways by converting a cross-conjugated carbonyl carbon into a trivalent carbocation, which replaces destructive quantum interference with a symmetrical resonance, causing an increase in transmission in the bias window. © 2020 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.

关键词： EGaIn molecular electronics quantum interference self-assembled monolayers STM-BJ

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