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Computer Methods and programs in Biomedicine Update 2024年 5卷

作者： Filetti, Marco Petti, Manuela Farina, Lorenzo Phase 1 Unit Fondazione Policlinico Universitario Agostino Gemelli IRCCS Rome Italy Department of Experimental Medicine Sapienza University of Rome Rome Italy Department of Computer Control Management Engineering Sapienza University of Rome Via Ariosto 25 Rome 00185 Italy PhD. Program in “network oncology and precision medicine” Sapienza University of Rome Italy

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Novel synthesis of nickel-based bimetallic compounds using ammonium tetrafluoroborate and ammonium bifluoride as structure directing agents for energy storage application

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Journal of Energy Storage 2024年 75卷

作者： Kuo, Tsung-Rong Yu, You Zher Lee, Pin-Yan Wu, Chung-Hsien Chen, Hung-Ming Husain, Sadang Kongvarhodom, Chutima Ho, Kuo-Chuan Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering National Taiwan University Taipei Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand

Nickel-based compounds are widely applied as the active material for energy storage devices, owing to high theoretical capacity and easy-fabricated process. Bimetallic compounds having multiple redox states can provide abundant redox reactions for charge storage. Structure directing agent (SDA) can promote the preferable growth of active materials and to enhance energy storage abilities. In this work, NH4BF4 and NH4HF2 are firstly used as SDA to synthesize nickel-based compounds along with 2-methylmidozole in the one-step solution process for energy storage applications. The bimetallic compounds are synthesized by incorporating Al, Mn, Co, Cu and Zn salts in the precursor solution including the Ni salt. The system with Al, Cu or Zn possesses single metal compound and barely nickel compound. Mn and Co-incorporated systems present clear bimetallic components with nickel hydroxide. The highest specific capacitance (CF) of 1336.3 F/g (297.0 mAh/g) are achieved at 20 mV/s for the NiCo-based electrode, owing to the bimetallic feature and favorable two-dimensional sheet-like structures. An energy storage device is assembled using the NiCo-based compound and reduced graphene oxide electrodes. The maximum energy density of 10.5 Wh/kg at 0.3 kW/kg, and the CF retention of 78.5% and Coulombic efficiency of 85.2% are achieved after 10,000 times charge/discharge cycles. © 2023 Elsevier Ltd

关键词： Energy storage

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Functional Connectome-Based Predictive Modeling in Autism

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BIOLOGICAL PSYCHIATRY 2022年第8期92卷 626-642页

作者： Horien, Corey Floris, Dorothea L. Greene, Abigail S. Noble, Stephanie Rolison, Max Tejavibulya, Link O'Connor, David McPartland, James C. Scheinost, Dustin Chawarska, Katarzyna Lake, Evelyn M. R. Constable, R. Todd [a]Interdepartmental Neuroscience Program Yale School of Medicine New Haven Connecticut [b]MD-PhD Program Yale School of Medicine New Haven Connecticut [c]Department of Pediatrics Yale School of Medicine New Haven Connecticut [d]Department of Neurosurgery Yale School of Medicine New Haven Connecticut [e]Department of Radiology and Biomedical Imaging Yale School of Medicine New Haven Connecticut [f]Department of Biomedical Engineering Yale University New Haven Connecticut [g]Department of Psychology Yale University New Haven Connecticut [h]Department of Statistics and Data Science Yale University New Haven Connecticut [i]Yale Child Study Center New Haven Connecticut [j]Methods of Plasticity Research Department of Psychology University of Zürich Zurich Switzerland [k]Donders Center for Brain Cognition and Behavior Radboud University Nijmegen Nijmegen The Netherlands

Autism is a heterogeneous neurodevelopmental condition, and functional magnetic resonance imaging-based studies have helped advance our understanding of its effects on brain network activity. We review how predictive modeling, using measures of functional connectivity and symptoms, has helped reveal key insights into this condition. We discuss how different prediction frameworks can further our understanding of the brain-based features that underlie complex autism symptomatology and consider how predictive models may be used in clinical settings. Throughout, we highlight aspects of study interpretation, such as data decay and sampling biases, that require consideration within the context of this condition. We close by suggesting exciting future directions for predictive modeling in autism.

关键词： Clinical translation Development Fingerprinting Individual differences Machine learning Resting-state fMRI

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Incorporating self-assembled MXene to improve electrical conductivity of novel ZIF67 derivatives induced by NH4BF4 and NH4HF2 for energy storage

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Journal of Energy Storage 2024年 82卷

作者： Lee, Pin-Yan Chiou, Yu-Ren Cheng, Cheng-Siang Chen, Yu-Chun Kongvarhodom, Chutima Chen, Hung-Ming Yougbaré, Sibidou Husain, Sadang Ho, Kuo-Chuan Kuo, Tsung-Rong Lin, Lu-Yin Department of Chemical Engineering National Taiwan University Taipei Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan

Zeolitic imidazolate framework (ZIF-67) with high surface area and tunable pore size are considered as a promising active material for energy storage, but the low electrical conductivity restricts its performance. Developing ZIF67 derivatives with improved electrical conductivity is necessary to broaden its application in electrochemical fields. In this work, two strategies are applied to improve electrical conductivity and electrochemical performance of ZIF67. Novel structure directing agents of NH4BF4 and NH4HF2 are used to synthesize ZIF67 derivatives with higher theoretical capacitances and favorable layered structures. Self-assembled MXene with different amounts is further incorporated in ZIF67 derivatives to establish composites. The optimal composite electrode shows a high specific capacitance (CF) of 1410.4 F/g (775.6C/g) at 20 mV/s, while the ZIF67 derivative electrode without MXene only shows a CF value of 942.3 F/g (518.3C/g), due to the high surface area and better pore structure as well as the close combination of MXene and the layered ZIF67 derivative for the former case. An energy storage device with the optimal composite and carbon electrodes shows the maximum energy density of 32.40 Wh/kg at 375 W/kg. The Coulombic efficiency of 100% and the CF retention of 77.4% are also achieved after 10,000 cycles. © 2024 Elsevier Ltd

关键词： Energy storage

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In-situ growth of novel iron oxide/iron organic framework composites as efficient electroactive materials of battery supercapacitor hybrids

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Journal of Energy Storage 2024年 97卷

作者： Kuo, Tsung-Rong Saukani, Muhammad Kuo, Tsung-Rong Kubendhiran, Subbiramaniyan Wang, Yu-Min Tai, Po-Chun Wu, Chang-Feng Lin, Lu-Yin Kongvarhodom, Chutima Kongvarhodom, Chutima Husain, Sadang Yougbaré, Sibidou Chen, Hung-Ming International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Department of Chemical Engineering University of New Brunswick FrederictonNBE3B5A3 Canada Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan

Iron oxide (Fe2O3) with a high theoretical capacitance, wide potential ranges and easy availability has attracted much attentions as the electrode material of battery supercapacitor hybrids (BSH). Metal–organic framework (MOF) is one of the promising potential energy storage materials due to its large surface area and controllable pore structures. In this work, novel iron oxide/iron organic framework composites (Fe2O3/FeMOF) are in-situ grown on the Ni foam as efficient energy storage electrodes of BSH. By tuning the solvothermal durations, the morphology changes from random sizes of sheets, regular grown vertical sheets, to flower-like structures. The d-spacing also increases for the Fe2O3/FeMOF synthesized using longer solvothermal durations. The optimal Fe2O3/FeMOF electrode synthesized using 9 h shows a high areal capacitance of 10.97 F/cm2 along with an areal capacity of 5.49 F/cm2 at the current density of 35 mA/cm2, owing to the most regular growth of sheets, the large d-spacing, and the smallest charge-transfer resistances. A BSH composed of the Fe2O3/FeMOF positive electrode and a graphene negative electrode shows a maximum energy density of 0.76 mWh/cm2 at 22.5 mW/cm2. The excellent long-term cycling stability with the capacitance retention of 85% and Coulombic efficiency of 98% are also achieved after 10,000 charge/discharge cycles. © 2024 Elsevier Ltd

关键词： Supercapacitor

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The environmental challenges of urban living: Why willingness to pay for apartments matters

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Environmental Challenges 2023年 13卷

作者： Tehupeiory, Aarce Mulyana, Rachmat Sianipar, Imelda Masni Juniaty Suryawan, I Wayan Koko Septiariva, Iva Yenis Prayogo, Wisnu Doctor of Law Program Universitas Kristen Indonesia Jakarta Cawang 13630 Indonesia Department of Building Engineering Education Universitas Negeri Medan Medan Indonesia PhD Student in Asia-Pacific Regional Studies College of Humanities and Social Sciences National Dong Hwa University Hualien 974 Taiwan Department of International Relations Faculty of Social Science and Political Science Universitas Kristen Indonesia Jakarta 13630 Indonesia Department of Environmental Engineering Faculty of Infrastructure Planning Universitas Pertamina Jakarta 12220 Indonesia Civil Engineering Study Program Faculty of Engineering Universitas Sebelas Maret Surakarta 57126 Indonesia

This study aims to understand the willingness of urban communities in Jabodetabek (Jakarta, Bogor, Depok, Tangerang, Bekasi) to move to apartment dwellings, and a study was conducted using a quantitative survey method. The study aimed to analyze the sociodemographic factors influencing the decision to switch to vertical housing. The survey collected data from a sample of individuals representing the entire population in Jabodetabek. The participants in the study were selected from various locations within Jabodetabek, including Jakarta, Bogor, Depok, Tangerang, and Bekasi. These areas were chosen to comprehensively represent the metropolitan region and its urban communities. By including participants from different locations within Jabodetabek, the study aimed to capture individuals' diverse perspectives and experiences in this region. The survey covered a range of sociodemographic factors such as gender, income, education level, marital status, occupancy, and residence ownership. The participants were divided into two groups: those willing to pay for an apartment and those who wereilling to pay for an apartment and those not. By comparing the characteristics of these two groups, the study aimed to identify significant differences and understand the factors influencing the willingness to move to apartment dwellings. The study results showed significant differences in income level, education level, marital status, and occupancy between the two groups. Income level was the most significant factor affecting an individual's willingness to pay for an apartment. Additionally, the perception of better apartment productivity, which includes reduced transportation time and costs associated with work or other business purposes, increased the demand for apartments. The study found that income level was the most significant factor affecting an individual's willingness to pay for an apartment. The perception of better apartment productivity also increased demand for apartments,

关键词： Apartments Better productivity Jabodetabek Metropolitan cities Sociodemographics Willingness to Pay

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Genomic data processing with GenomeFlow

arXiv

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arXiv 2025年

作者： Park, Junseok Maury, Eduardo A. Oh, Changhoon Shin, Donghoon Denisko, Danielle Lee, Eunjung Alice Division of Genetics and Genomics Boston Children’s Hospital 3 Blackfan Circle BostonMA United States Department of Pediatrics Harvard Medical School 25 Shattuck St BostonMA United States Bioinformatics Integrative Genomics Program Harvard/MIT MD-PHD Program Harvard Medical School BostonMA United States Program in Medical and Population Genetics Broad Institute of MIT and Harvard CambridgeMA United States Graduate School of Information Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul Korea Republic of Department of Human Centered Design and Engineering University of Washington SeattleWA United States Department of Biomedical Informatics Harvard Medical School BostonMA United States

Advances in genome sequencing technologies generate massive amounts of sequence data that are increasingly analyzed and shared through public repositories. On-demand infrastructure services on cloud computing platforms enable the processing of such large-scale genomic sequence data in distributed processing environments with a significant reduction in analysis time. However, parallel processing on cloud computing platforms presents many challenges to researchers, even skillful bioinformaticians. In particular, it is difficult to design a computing architecture optimized to reduce the cost of computing and disk storage as genomic data analysis pipelines often employ many heterogeneous tools with different resource requirements. To address these issues, we developed GenomeFlow, a tool for automated development of computing architecture and resource optimization on Google Cloud Platform, which allows users to process a large number of samples at minimal cost. We outline multiple use cases of GenomeFlow demonstrating its utility to significantly reduce computing time and cost associated with analyzing genomic and transcriptomic data from hundreds to tens of thousands of samples from several consortia. Here, we describe a step-by-step protocol on how to use GenomeFlow for a common genomic data processing task. We introduce this example protocol geared toward a bioinformatician with little experience in cloud computing. © 2025, CC BY.

关键词： Cloud platforms

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Cancer miRNA detection by highly sensitive SERS via self-assembly nano particle based micro periodic domain (SANP-MPD) 21

Cancer miRNA detection by highly sensitive SERS via self-ass...

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21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017

作者： Koduri, Manohar Prasad Kumar, Ashish Goudar, Venkanagouda Tseng, Fan Gang International Intercollegiate PhD Program National Tsing Hua University Taiwan Department of Engineering and System Science National Tsing Hua University Taiwan Research Center for Applied Sciences Academia Sinica Taipei Taiwan

ISBN: (纸本)9780692941836

In this study, we demonstrated a novel micro periodic domain (MPD), results in rough surface on a silicon wafer, formed by self-assembled nano particles (SANP) and observed a 100 fold improvement in SERS signal for detection of Colon cancer miRNA21 on Au coated nano mushroom periodic domains compared to uniform nano mushroom domain on Si wafer. The single layer deposition on Silicon wafer is achieved by using the in house developed self-assembly deposition technique . The mono layer retains the shape of hexagonal arrangement in between nano particles and forms a periodic micro domains. © 17CBMS-0001.

关键词： Self assembly

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Piezoelectric and triboelectric nanogenerators: Promising technologies for self-powered implantable biomedical devices

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Nano Energy 2024年 119卷

作者： Khan, Arshad Joshi, Ravindra Sharma, Manish Kumar Ganguly, Anindita Parashar, Parag Wang, Ting-Wei Lee, Sangmin Kao, Fu-Cheng Lin, Zong-Hong Department of Biomedical Engineering National Taiwan University Taipei10167 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Internet of Senses Research Center National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu30013 Taiwan School of Mechanical Engineering Chung-Ang University Seoul06974 Korea Republic of Department of Orthopaedic Surgery Chang Gung Memorial Hospital Taoyuan33305 Taiwan College of Medicine Chang Gung University Taoyuan33302 Taiwan Department of Chemical Engineering National Taiwan University Taipei10167 Taiwan

Implantable biomedical devices (IBDs) have garnered wide-scale attention in recent years due to their enormous contribution to the biomedical sector. However, an uninterrupted and reliable power source has consistently been the primary barrier for IBDs, which is greatly alleviated by batteries. The widespread application of battery-powered IBDs is hindered by several limitations, including bulkiness, limited capacity and shelf-life, and expenditure associated with surgery-based battery recharge/replacement. To address these challenges, state-of-the-art self-powering technologies have emerged, including implantable piezoelectric nanogenerators (iPENGs) and implantable triboelectric nanogenerators (iTENGs). These technologies enable IBDs to operate autonomously by harnessing the minute mechanical movements of internal organs, such as heartbeat, respiration, blood circulation, muscle contraction/relaxation, and lung vibration. This review focuses on the recent advancements in iTENGs and iPENGs for the development of self-powered IBDs with a wide range of applications, including energy harvesting from biomechanical and ultrasound sources and energy storage using batteries and capacitors. This study also explores the extensive sensing applications of IBDs in various areas including cardiac, gastrointestinal, bladder, and ligament-strain monitoring. Finally, therapeutic applications of IBDs, such as nerve stimulation, bone stimulation, cartilage therapy, tissue regeneration, muscle stimulation, drug delivery, and diabetes management are discussed. © 2023 Elsevier Ltd

关键词： Nanogenerators

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Multiplexed Serial Imaging of Immunotherapy Response with Serrs Nanoprobes

Multiplexed Serial Imaging of Immunotherapy Response with Se...

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IEEE International Symposium on Biomedical Imaging

作者： Naxhije Berisha Konstantinos Plakas Matthieu Gigoux Taha Merghoub Chrysafis Andreou Hunter College of the City University of New York New York NY USA PhD Program in Chemistry The Graduate Center of the City University of New York NY USA Memorial Sloan Kettering Cancer Center New York NY USA Department of Chemistry University at Buffalo The State University of New York Buffalo NY USA Weill Cornell Medicine New York NY USA Department of Electrical and Computer Engineering University of Cyprus Nicosia Cyprus

ISBN: (数字)9798350313338

ISBN: (纸本)9798350313345

With the advent of new and promising cancer therapies, and with increased interest in precision medicine, there is an urgent need to develop non-invasive technologies that evaluate heterogeneity in treatment response. We demonstrate an 8-plex imaging platform based on surface enhanced resonance Raman scattering nanoparticles (SERRS NPs) to monitor the expression of 4 immunomarkers before and after treatment with checkpoint blockade therapy with anti-CTLA4 and anti-PD-1 antibodies in immunotherapy models of colon (CT26) and breast (4T1) cancers. We found that CT26 tumors showed an early treatment response, while the typically refractory 4T1 tumors demonstrated an unexpected treatment response, suggesting that the nanoparticles may have synergistically contributed to the treatment. Serial imaging of multiple markers during therapy can help predict treatment efficacy and uncover new theranostic adjuvants.

关键词： Nanoparticles Multiplexing Precision medicine Raman scattering Immunotherapy Resonance Surface treatment

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