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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Jian Chen Shuai Wang Qingxiang Zhao Mingcong Chen Hongbin Liu School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences Beijing China Centre of AI and Robotics Hong Kong Institute of Science and Innovation Chinese Academy of Sciences Hong Kong Department of Mechanical Engineering The Hong Kong Polytechnic University Hong Kong School of Biomedical Engineering and Imaging Sciences Kings College London London UK

This work presents a novel dual-segment flexible robotic endoscope designed to enhance reachability and dexterity during ESD surgery. The proposed system is capable of executing multi-angle cutting operations at a small angle relative to the lesion surface, allowing for efficient en-bloc resection. Additionally, the system incorporates two calibrated RGB cameras and a depth estimation algorithm to provide detailed 3D information of the tumour, which is used to guide the control framework. A stereo visual servoing controller is also implemented to improve path-following performance during surgery. Experiments results indicate that the proposed system improves motion stability and precision. The root means square error (RMSE) of circle path following is 1.1991mm with a maximum of 1.4751mm. Ex-vivo testing demonstrates its significant potential for use in endoscopic surgery.

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Development of 3D-printing composite inks based on photoreactive cartilage extracellular matrix and gelatin nanoparticles

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Bioprinting 2023年 36卷

作者： Hogan, Katie J. Perez, Marissa R. Öztatlı, Hayriye Si, Sophia Wang, Ziwen Jiang, Emily Y. Diba, Mani Garipcan, Bora Mikos, Antonios G. Department of Bioengineering Rice University Houston 77030 TX United States Baylor College of Medicine Medical Scientist Training Program Houston 77030 TX United States Institute of Biomedical Engineering Boğaziçi University İstanbul Turkey

Decellularized extracellular matrix (dECM)-based materials possess innate biochemical cues to drive cell recruitment and differentiation and are of interest for cartilage tissue engineering. While 3D-printing (3DP) provides a means for achieving the precise architecture needed for cartilage tissue engineering, dECM hydrogels have proven difficult to translate to 3DP due to low viscosity and weak mechanical properties. In this study, a cartilage dECM (cdECM, 3 w/v%) was combined with varied amounts of gelatin nanoparticles (GNPs;10, 12.5, 15 w/v%) to form novel hydrogel-colloidal composite materials for 3DP. The addition of GNPs increased the viscosity and rheological properties of the cdECM hydrogel in a dose-dependent manner, directly improving the printability of cdECM 3DP inks. Additionally, functionalization of both materials yielded a UV-crosslinkable material for post-printing crosslinking, and increased GNP content increased post-UV storage moduli with 15 w/v% GNPs yielding a storage modulus 26x greater than that of cdECM alone. 3DP construct swelling and degradation were decreased as a function of increased UV-crosslinking dosage (0, 1.5, and 3 J/cm²). After 14 d of swelling in PBS, construct non-porous area was increased by ∼40 % and pore area was increased by ∼30 % for uncrosslinked (0 J/cm²) constructs versus highly crosslinked (3 J/cm²) constructs. Roughly 40 % higher mass retention was observed across GNP content groups for 3 J/cm² versus 0 J/cm² UV exposure after 14 d of enzymatic degradation, showing the potential for tuning physicochemical properties via UV exposure. Likewise, the retention of key biochemical components of cdECM over the course of degradation was evaluated. Sulfated glycosaminoglycans, a key reservoir for tissue-specific growth factors, were found to be retained within scaffolds over 14 d of degradation and to be released relative to construct degradation and UV-crosslinking. The

关键词： 3D-printing Cartilage tissue engineering Colloidal gel Decellularized extracellular matrix

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Cyclic ferroelectric switching and quantized charge transport in CuInP2S6

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Physical Review B 2023年第18期108卷 L180101-L180101页

作者： Daniel Seleznev Sobhit Singh John Bonini Karin M. Rabe David Vanderbilt Department of Physics and Astronomy Center for Materials Theory Rutgers University Piscataway New Jersey 08854 USA Department of Mechanical Engineering University of Rochester Rochester New York 14627 USA Materials Science Program University of Rochester Rochester New York 14627 USA Center for Computational Quantum Physics Flatiron Institute 162 5th Avenue New York New York 10010 USA

The van der Waals layered ferroelectric CuInP2S6 has been found to exhibit a variety of intriguing properties arising from the fact that the Cu ions are unusually mobile in this system. While the polarization switching mechanism is usually understood to arise from Cu ion motion within the monolayers, a second switching path involving Cu motion across the van der Waals gaps has been suggested. In this work, we perform zero-temperature first-principles calculations on such switching paths, focusing on two types that preserve the periodicity of the primitive unit cell: “cooperative” paths preserving the system's glide mirror symmetry, and “sequential” paths in which the two Cu ions in the unit cell move independently of each other. We find that CuInP2S6 features a rich and varied energy landscape, and that sequential paths are clearly favored energetically both for cross-gap and through-layer paths. Importantly, these segments can be assembled to comprise a globally insulating cycle with the out-of-plane polarization evolving by a quantum as the Cu ions shift to neighboring layers. In this sense, we argue that CuInP2S6 embodies the physics of a quantized adiabatic charge pump.

关键词： Electric polarization Electronic structure Ferroelectricity Phonons Structural phase transition

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A standardised open science framework for sharing and re-analysing neural data acquired to continuous stimuli

arXiv

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arXiv 2023年

作者： Di Liberto, Giovanni M. Nidiffer, Aaron Crosse, Michael J. Zuk, Nathaniel J. Haro, Stephanie Cantisani, Giorgia Winchester, Martin M. Igoe, Aoife McCrann, Ross Chandra, Satwik Lalor, Edmund C. Baruzzo, Giacomo School of Computer Science and Statistics University of Dublin Trinity College Ireland ADAPT Centre Trinity College Institute of Neuroscience Ireland Dept Biomedical Engineering Dept Neuroscience Del Monte Institute for Neuroscience Center for Visual Science University of Rochester NY United States Segotia Galway Ireland Department of Mechanical Manufacturing and Biomedical Engineering TCBE Trinity College Dublin Ireland Department of Psychology Nottingham Trent University Nottingham United Kingdom Human Health and Performance Systems MIT Lincoln Laboratory LexingtonMA United States Speech and Hearing Bioscience and Technology Harvard Medical School BostonMA United States Laboratoire des systémes perceptifs Département d’études cognitives ENS PSL University CNRS Paris75005 France Dept Biomedical Engineering Center for Visual Science University of Rochester NY United States Department of Information Engineering University of Padova Padova Italy

Neurophysiology research has demonstrated that it is possible and valuable to investigate sensory processing in scenarios involving continuous sensory streams, such as speech and music. Over the past 10 years or so, novel analytic frameworks combined with the growing participation in data sharing has led to a surge of publicly available datasets involving continuous sensory experiments. However, open science efforts in this domain of research remain scattered, lacking a cohesive set of guidelines. This paper presents an end-to-end open science framework for the storage, analysis, sharing, and re-analysis of neural data recorded during continuous sensory experiments. We propose a data structure that builds on existing custom structures (Continuous-event Neural Data or CND), providing precise naming conventions and data types, as well as a workflow for storing and loading data in the general-purpose BIDS structure. The framework has been designed to interface with existing EEG/MEG analysis toolboxes, such as Eelbrain, NAPLib, MNE, and mTRF-Toolbox. We present guidelines by taking both the user view (rapidly re-analyse existing data) and the experimenter view (store, analyse, and share), making the process straightforward and accessible. Additionally, we introduce a web-based data browser that enables the effortless replication of published results and data re-analysis. © 2023, CC BY-NC-ND.

关键词： Data assimilation

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Communication Support Utilizing AAC for Verbally Challenged Children in Developing Countries During COVID-19 Pandemic 22nd

Communication Support Utilizing AAC for Verbally Challenged ...

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22nd International Conference on Human-Computer Interaction, HCI International 2020

作者： Farzana, Walia Sarker, Farhana Vaidyanathan, Ravi Chau, Tom Mamun, Khondaker A. Advanced Intelligent Multidisciplinary Systems Lab Department of Computer Science and Engineering United International University Dhaka Bangladesh Department of Computer Science and Engineering University of Liberal Arts Bangladesh Dhaka Bangladesh Department of Mechanical Engineering Imperial College London London United Kingdom Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto Canada

ISBN: (纸本)9783030607029

Functional communication is indispensable for child development at all times but during this COVID-19, non-verbal children become more anxious about social distancing and self-quarantine due to sudden aberration on daily designed practices and professional support. These verbally challenged children require the support of Augmentative and Alternative Communication (AAC) for intercommunication. Therefore, during COVID-19, assistance must be provided remotely to these users by a AAC team involving caregivers, teachers, Speech Language Therapist (SLT) to ensure collaborative learning and development of non-verbal child communication skills. However, most of the advanced AAC, such as Speech Generating Devices (SGD), Picture Exchange Communication System (PECS) based mobile applications (Android & iOS) are designed considering the scenario of developed countries and less accessible in developing countries. Therefore, in this study, we are focusing on representing feasible short term strategies, prospective challenges and as long term strategy, a cloud based framework entitled as "Bolte Chai+", which is an intelligent integrated collaborative learning platform for non-verbal children, parents, caregivers, teachers and SLT. The intelligent analytics within the platform monitors child overall progress by tracking child activity in mobile application and conversely support parents and AAC team to concentrate on individual child ubiquitous abilities. We believe, the proposed framework and strategies will empower non-verbal children and assist researchers, policy makers to acknowledge a definitive solution to implement AAC as communication support in developing countries during COVID-19 pandemic. © 2020, Springer Nature Switzerland AG.

关键词： Intelligent systems

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The hypothalamus for whole-body physiology:from metabolism to aging

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Protein & Cell 2022年第6期13卷 394-421页

作者： Tiemin Liu Yong Xu Chun-Xia Yi Qingchun Tong Dongsheng Cai State Key Laboratory of Genetic Engineering Department of Endocrinology and MetabolismInstitute of Metabolism and Integrative BiologyHuman Phenome Instituteand Collaborative Innovation Center for Genetics and DevelopmentZhongshan HospitalSchool of Life SciencesFudan UniversityShanghai 200438China Children’s Nutrition Research Center Department of PediatricsDepartment of Molecular and Cellular BiologyBaylor College of MedicineOne Baylor PlazaHoustonTX 77030USA Department of Endocrinology and Metabolism Amsterdam University Medical CentersAmsterdam Gastroenterology Endocrinology MetabolismUniversity of AmsterdamMeibergdreef 91105AZ AmsterdamNetherlands Brown Foundation Institute of Molecular Medicine Department of Neurobiology and AnatomyUniversity of Texas McGovern Medical SchoolGraduate Program in Neuroscience of MD Anderson UTHealth Graduate School of Biomedical SciencesHoustonTX 77030USA Department of Molecular Pharmacology Albert Einstein College of MedicineBronxNew YorkNY 10461USA

Obesity and aging are two important epidemic factors for metabolic syndrome and many other health issues,which contribute to devastating diseases such as cardiovascular diseases,stroke and *** brain plays a central role in controlling metabolic physiology in that it integrates information from other metabolic organs,sends regulatory projections and orchestrates the whole-body *** studies suggest that brain dysfunction in sensing various internal cues or processing external cues may have profound effects on metabolic and other physiological *** review highlights brain dysfunction linked to genetic mutations,sex,brain inflammation,microbiota,stress as causes for whole-body pathophysiology,arguing brain dysfunction as a root cause for the epidemic of aging and obesity-related *** also speculate key issues that need to be addressed on how to reveal relevant brain dysfunction that underlines the development of these disorders and diseases in order to develop new treatment strategies against these health problems.

关键词： neuron metabolism hypothalamus obesity aging

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Inorganic Ions Activate Lineage-Specific Gene Regulatory Networks to Drive Stem Cells Differentiation

SSRN

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SSRN 2023年

作者： Kersey, Anna L. Gaharwar, Akhilesh K. Singh, Irtisha Department of Biomedical Engineering College of Engineering Texas A&M University College StationTX77843 United States Department of Cell Biology and Genetics College of Medicine Texas A&M University College StationTX77843 United States Interdisciplinary Program in Genetics Texas A&M University College StationTX77843 United States Center for Remote Health Technologies and Systems Texas A&M University College StationTX77843 United States Department of Material Science and Engineering Dwight Look College of Engineering Texas A&M University College StationTX77843 United States

Ions released from inorganic biomaterials play a vital role in defining cell identity. However, the effect of inorganic ions on cellular functions has yet to be investigated at the transcriptomic level, representing a critical knowledge gap in the development of next-generation of bioactive materials. To address this gap, we investigated the impact of various inorganic ions including silver, copper, titanium, and platinum on human stem cells. Our finding showed that silver and copper induce osteogenic and chondrogenic differentiation respectively, through enrichment of ion-dependent signaling pathways. Specifically, silver effectively induced Wnt and MAPK signaling, which are vital for osteogenesis. On the other hand, copper specifically stimulated TGFβ signaling, while suppressing JAK-STAT signaling, thereby promoting chondrogenesis. In contrast, platinum, tantalum, and titanium ions didn't stimulate regenerative responses. Titanium displayed minimal gene expression changes, demonstrating its relative inertness, while platinum and tantalum induced oxidative stress. These findings are further supported by gene and protein level validation using traditional techniques. Together, our findings highlight the potential of inorganic biomaterials in revolutionizing tissue regeneration strategies, which currently rely largely on growth factors and small molecule therapeutics. © 2023, The Authors. All rights reserved.

关键词： Stem cells

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3D printing of bone tissue engineering scaffolds

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Bioactive Materials 2020年第1期5卷 82-91页

作者： Chong Wang Wei Huang Yu Zhou Libing He Zhi He Ziling Chen Xiao He Shuo Tian Jiaming Liao Bingheng Lu Yen Wei Min Wang School of Mechanical Engineering Dongguan University of TechnologySongshan LakeDongguanGuangdongPR China Department of Orthopaedics Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhanHubeiPR China Department of Mechanical Engineering The University of Hong KongPokfulam RoadHong KongHong Kong SARPR China Department of Chemistry Tsinghua UniversityBeijingPR China Institute of Biomedical and health engineering Shenzhen Institutes of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdongPR China

Tissue engineering is promising in realizing successful treatments of human body tissue loss that current methods cannot treat well or achieve satisfactory clinical *** scaffold-based bone tissue engineering,a high performance scaffold underpins the success of a bone tissue engineering strategy and a major direction in the field is to produce bone tissue engineering scaffolds with desirable shape,structural,physical,chemical and biological features for enhanced biological performance and for regenerating complex bone ***-dimensional(3D)printing can produce customized scaffolds that are highly desirable for bone tissue *** enormous interest in 3D printing and 3D printed objects by the science,engineering and medical communities has led to various developments of the 3D printing technology and wide investigations of 3D printed products in many industries,including biomedical engineering,over the past *** is now possible to create novel bone tissue engineering scaffolds with customized shape,architecture,favorable macro-micro structure,wettability,mechanical strength and cellular *** article provides a concise review of recent advances in the R&D of 3D printing of bone tissue engineering *** also presents our philosophy and research in the designing and fabrication of bone tissue engineering scaffolds through 3D printing.

关键词： 3D printing Bone tissue engineering Scaffold Bioceramic Polyester Hydrogel Biomolecule Controlled release

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Application of Computer Vision in T-Shirt Dimensions Measurement

EAI Endorsed Transactions on Industrial Networks and Intelli...

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EAI Endorsed Transactions on Industrial Networks and Intelligent Systems 2022年第31期9卷

作者： Le, Ngoc-Bich Pham, Thi-Thu-Hien Phan, Quoc-Hung Debnath, Narayan C. Le, Ngoc-Huan School of Biomedical Engineering International University Ho Chi Minh City Viet Nam Vietnam National University Ho Chi Minh City Thu Duc City Ho Chi Minh City Viet Nam National United University Department of Mechanical Engineering Miaoli Taiwan Eastern International University Binh Duong Viet Nam

This paper presents a solution to automatically measure the T-shirt dimensions in the garment industry. To address this goal, the paper focuses on utilizing image processing to determine the T-shirt's dimensions. The processing algorithm was provided along with the proposed recognition regions novel approach that was expected to deliver faster processing speed and enhance accuracy. The feasibility was demonstrated by characterizing the accuracy and processing speed. Specifically, five distinctive dimensions were successfully identified and measured;with the replication of 30, the discrepancy varies from 0.095% (for chest) to 2.088% (for collar). The divergence is insignificant compared with the granted tolerances. Finally, the processing time and the mechanical structure of the system deliver productivity of 22 products/minute which is approximately 10 times more rapidly than manual measurement (25 seconds) © 2022. Ngoc-Bich Le et al.,. All Rights Reserved.

关键词： Computer vision

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Quality Assessment of Laser Speckle Patterns for Digital Image Correlation by Sequence-Image Quality Evaluation Index

SSRN

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SSRN 2023年

作者： Gang, Huang Wuji, Zhang Shengnan, He Pan, Zhiwei Huang, Shenghong Yong, Su Wang, Weihua Dale, Zhang Institute of Material Science and Information Technology Anhui University Hefei230601 China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Hefei230027 China School of Biomedical Engineering Anhui Medical University Hefei230032 China

Digital image correlation (DIC) based on laser speckle has significant advantages in in-situ strain measurement of extreme environments, but its weak ability of anti-disturbance and easy decorrelation hampers its further application. To compensate for these shortcomings, a new index, called Sequence-image Quality Evaluation Index (SQEI) is proposed for the quality evaluation of laser speckle patterns, which not only includes the single image quality evaluation factors but also evaluates the correlation between sequence images. Compared with other evaluation standards for speckle images in the past, SQEI can not only indicate whether the quality of speckle images meets the accuracy requirements of DIC calculation but also identify and delete the decorrelated images in the sequence, greatly improving the measurement accuracy and robustness of the DIC based on laser speckle. This study verified the effectiveness of the SQEI evaluation through metal thermal strain experiments. The influence of external factors such as laser wavefront, temperature, CCD angle, and material factors such as roughness and reflectivity were analyzed by SQEI. The results indicate that this indicator has good capability to evaluate the quality of laser speckles and can effectively guide operators on how to optimize the optical device based on the SQEI values, greatly improving the accuracy and efficiency of DIC strain detection based on laser speckles. © 2023, The Authors. All rights reserved.

关键词： Image correlation

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