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Pan American Health Care Exchanges, PAHCE

作者： L. L. De Matheo L. E. Maggi J. F. S. Costa M. A von Krüger W. C. A. Pereira Biomedical Engineering Program Federal University of Rio de Janeiro RJ Brazil Center of Biological and Nature Sciences Federal University of Acre AC Brazil Universidade Federal do Rio de Janeiro Rio de Janeiro RJ BR

ISBN: (纸本)9781538615218

Ultrasonography is an important and well-accepted technique, once it is noninvasive and capable of giving complementary information that helps the radiologist classifying lesions. Consequently, it is worthy to invest in the design and production of phantoms to provide support to controlled experiments as well as help training health professionals, and Computer Aided-Diagnoses systems. However, there is a need in the literature for a standardised protocol that helps further comparison studies. In this study, two ultrasonic phantoms were constructed to mimic soft tissue. The material used in these phantoms is the polyvinyl chloride plastisol - PVCP, a well-known material used in other areas. The protocols differ at its heating tools: Electric and microwave stove. Eight phantoms for each protocol were made, and their respective ultrasound propagation speed and attenuation coefficients were compared, showing a statistical difference between speeds but no difference in attenuation. The two manufacturing protocols demonstrated to be useful for phantom confection with no significant changes in acoustics properties. This paper is a valuable tool at the demand for protocols standardisation.

关键词： Phantoms Ultrasonic imaging Protocols Acoustics Attenuation Microwave theory and techniques Electromagnetic heating

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An investigation of the electrical properties of PbO based MOS-type different Schottky barrier diodes on a structure

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AIP Conference Proceedings 2018年第1期1935卷

作者： Nuriye Kaymak Elif Oz Orhan S. Bilge Ocak Birkan Selçuk 1Gazi University Graduate School of Natural and Applied Sciences Department of Advanced Technologies 06500 Ankara Turkey 2Gazi University Faculty of Science Department of Physics 06500 Ankara Turkey 3İzmir Democracy University Faculty of Engineering Department of Biomedical Engineering 35140 İzmir Turkey

The electrical properties PbO based MOS (metal-oxide semiconductor)-type different Schottky barrier diodes on an Al/PbO/p-Si structure have been investigated and done a comparisonin this study. Al/PbO/p-Si structures were fabricated and their current-voltage (I-V) characteristics were measured at room temperature and in the dark. We tried to obtain information about the structure by comparing the electrical properties of the seven diodes on the Al/PbO/p-Si structure. The electrical characteristic parameters such as saturation current, ideality factor, barrier height and series resistance of the seven Al/PbO/p-Si Schottky barrier diodes were investigated from the forward bias I-V characteristics by using thermionic emission theory. The experimental values of ideality factors for seven diodes have changed from 1.09 to 2.95. The series resistances seven diodes have changed from 1.18 kΩ to 3.20 kΩ by using dV/dln(I)-I characteristics. The barrier heights for seven diodes have changed from 0.64 eV to 0.74eV. The series resistances for seven diodes have changed from 1.41 kΩ to 3.38 kΩ.

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Investigation of low-frequency dependent characteristics of Al/Maleic Anhydride (MA)/p-Si Schottky barrier diode

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AIP Conference Proceedings 2018年第1期1935卷

作者： Nuriye Kaymak Elif Oz Orhan S. Bilge Ocak A. Birkan Selçuk 1Gazi University Graduate School of Natural and Applied Sciences Department of Advanced Technologies 06500 Ankara Turkey 2Gazi University Faculty of Science Department of Physics 06500 Ankara Turkey 3İzmir Democracy University Faculty of Engineering Department of Biomedical Engineering 35140 İzmir Turkey

In this study, low-frequency-dependent characteristics of Al/Maleic Anhydride (MA)/p-Si organic Schottky barrier diode have been investigated. Maleic Anhydride (MA) has been successfully coated on p type-Si substrate with 280 µm thickness and 10 *** resistivity, by spin coating. The ohmic (back contact) and Schottky (circular dots) contacts can be fabricated by the thermal evaporation technique. The fabrication of the ohmic and Schottky contacts was performed in vacuum (2.7×10−7 kPa). By using capacitance-voltage (C-V) and conductance-voltage (G-V) measurements, electrical properties including barrier height, Fermi level, the width of the depletion region, series resistance and interface states were investigated. The C-V and G-V characteristics confirm that interface state density and series resistance of the diode are important parameters that strongly influence the electrical parameters exhibited by the MPS structure.

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Learning from learning machines: A new generation of AI technology to meet the needs of science

arXiv

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arXiv 2021年

作者： Pion-Tonachini, Luca Bouchard, Kristofer Martin, Hector Garcia Peisert, Sean Holtz, W. Bradley Aswani, Anil Dwivedi, Dipankar Wainwright, Haruko Pilania, Ghanshyam Nachman, Benjamin Marrone, Babetta L. Falco, Nicola Prabhat Arnold, Daniel Wolf-Yadlin, Alejandro Powers, Sarah Climer, Sharlee Jackson, Quinn Carlson, Ty Sohn, Michael Zwart, Petrus Kumar, Neeraj Justice, Amy Tomlin, Claire Jacobson, Daniel Micklem, Gos Gkoutos, Georgios V. Bickel, Peter J. Cazier, Jean-Baptiste Müller, Juliane Webb-Robertson, Bobbie-Jo Stevens, Rick Anderson, Mark Kreutz-Delgado, Ken Mahoney, Michael W. Brown, James B. Pattern Computer Inc. Friday HarborWA98250 United States Biosciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computational Research Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Helen Wils Neuroscience Institute Redwood Center for Theoretical Neuroscience Uc Berkeley BerkeleyCA94720 United States Doe Agile BioFoundry Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Joint BioEnergy Institute Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Bcam Basque Center for Applied Mathematics Bilbao48009 Spain Computer Science University of California Davis DavisCA95616 United States Cenic La MiradaCA90638 United States Health Informatics University of California Davis School of Medicine SacramentoCA95817 United States Berkeley Institute for Data Science University of California Berkeley BerkeleyCA94720 United States Industrial Engineering and Operations Research University of California Berkeley BerkeleyCA94720 United States Environmental & Earth Sciences Area Lawrence Berkeley National Laboratory BerkeleyCA94803 United States Nuclear Engineering University of California Berkeley BerkeleyCA94720 United States Materials Science and Technology Division Los Alamos National Laboratory Los AlamosNM87545 United States Physics Division Lawrence Berkeley National Lab BerkeleyCA94720 United States Bioscience Division Los Alamos National Laboratory Los AlamosNM87545 United States Earth and Environmental Sciences Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Energy Technologies Area Lawrence Berkeley National Lab BerkeleyCA94803 United States Computing and Computational Sciences Oak Ridge National Laboratory Oak RidgeTN37831 United States Industrial & Systems Engineering The University of Tennessee KnoxvilleTN37996 United States Department of Computer Science University of Missouri-Saint Louis St. LouisMO63121 United

We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science create tension between identifying patterns in data versus discovering patterns in the world from data. If we address the fundamental challenges associated with "bridging the gap" between domain-driven scientific models and data-driven AI learning machines, then we expect that these AI models can transform hypothesis generation, scientific discovery, and the scientific process itself. © 2021, CC BY.

关键词： Learning systems

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Characterization of gelatin composite with low content hydroxyapatite and the influence on mesenchymal stem cell culture 2nd

Characterization of gelatin composite with low content hydro...

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2nd International Conference on Applied Physics and Material Applications, ICAPMA 2015

作者： Junjira, Tanum Suruk, Udomsom Wassanai, Wattanutchariya Sooksaen, P.A.T. Fahsai, Kantawong Biomedical Engineering Program Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Biomedical Engineering Center Chiang Mai University Chiang Mai50200 Thailand Department of Industrial Engineering Faculty of Engineering Chiang Mai University Chiang Mai50200 Thailand Department of Materials Science and Engineering Faculty of Engineering and Industrial Technology Silpakorn University Nakhon Pathom73000 Thailand Department of Medical Technology Faculty of Assoc. Medical Sciences Chiang Mai University Chiang Mai50200 Thailand

ISBN: (纸本)9783038356837

In tissue engineering, hydrogel-based scaffold is one of the most common method for bone tissue engineering. Gelatin is a common material for scaffold, whereas hydroxyapatite (HA) has a similar composition and structure to natural bone mineral. HA can also increase cell adhesion ability of the scaffold. This research focuses on the fabrication of hydrogel scaffolds using gelatin composite with nanocrystalline hydroxyapatite (nHA). Then the mechanical and physical caharacteristics of the scaffold is investigetad. Low contents nHA is introduced into gelatin in order to modulate mesenchymal stem cell (MSC) behavior. There are three types of scaffolds which contain various HA content. The gelatin is crosslinked with glutaraldehyde before freeze-drying. The Young's modulus of the surface is investigated using Atomic force microscopy (AFM). The pore size is investigated using scanning electron microscope (SEM). Human MSCs are culture on the scaffold for 3 weeks. The result shows the sucesse in cell cultivation. However, the human MSCs cultured on the fabricated hydrogels do not show any lineage-specific differentiation. © 2016 Trans Tech Publications, Switzerland.

关键词： Cell culture

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TaoBall: An interactive IoT ball design for rehabilitation 6

TaoBall: An interactive IoT ball design for rehabilitation

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6th IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2016

作者： Su, Chen-Yu Hsiao, Chun-Yi Lee, Ren-Guey Chen, Jyh-Horng Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei10617 Taiwan Department of Electronic Engineering National Taipei University of Technology Taipei10643 Taiwan

ISBN: (纸本)9781509020966

Internet of things (IoT) and cloud service have been rapidly applied to various fields such as industry, smart home, or creative applications in daily life. In this paper, we propose to integrate a powerful smart IoT device, TaoBall with a Smartphone App to improve rehabilitation performance and convenience. The system designs and implements a few customized home-based games for muscle training and working memory (WM) training. The system is simple and thus easy for elderly people to increase their daily activity and also prevent their functional deterioration. The preliminary results show the reference index for suitable setting for two games in real test. In the future, our rehabilitation system can be applied to clinical study for more patients to do rehabilitation easily at their homes without assistance from physical therapist. © 2016 IEEE.

关键词： Automation

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CellLENS enables cross-domain information fusion for enhanced cell population delineation in single-cell spatial omics data

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Nature immunology 2025年第6期26卷 2025 May 22页

作者： Bokai Zhu Sheng Gao Shuxiao Chen Yuchen Wang Jason Yeung Yunhao Bai Amy Y Huang Yao Yu Yeo Guanrui Liao Shulin Mao Zhenghui G Jiang Scott J Rodig Ka-Chun Wong Alex K Shalek Garry P Nolan Sizun Jiang Zongming Ma Ragon Institute of MGH MIT and Harvard Cambridge MA USA. Broad Institute of MIT and Harvard Cambridge MA USA. Massachusetts Institute of Technology Cambridge MA USA. Department of Statistics and Data Science The Wharton School University of Pennsylvania Philadelphia PA USA. Center for Virology and Vaccine Research Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. Department of Computer Science City University of Hong Kong Hong Kong People's Republic of China. Dana-Farber Cancer Institute Boston MA USA. Center of Hepato-Pancreato-Biliary Surgery The First Affiliated Hospital of Sun Yat-sen University Guangzhou People's Republic of China. Division of Genetics and Genomics Boston Children's Hospital Harvard Medical School Boston MA USA. Program in Biological and Biomedical Sciences Harvard Medical School Boston MA USA. Division of Gastroenterology/Liver Center Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston MA USA. Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge MA USA. Department of Chemistry Massachusetts Institute of Technology Cambridge MA USA. Koch Institute for Integrative Cancer Research Massachusetts Institute of Technology Cambridge MA USA. Department of Pathology Stanford University Stanford CA USA. gnolan@stanford.edu. Broad Institute of MIT and Harvard Cambridge MA USA. sjiang3@bidmc.harvard.edu. Center for Virology and Vaccine Research Beth Israel Deaconess Medical Center Harvard Medical School Boston MA USA. sjiang3@bidmc.harvard.edu. Dana-Farber Cancer Institute Boston MA USA. sjiang3@bidmc.harvard.edu. Department of Pathology Brigham and Women's Hospital Harvard Medical School Boston MA USA. sjiang3@bidmc.harvard.edu. Department of Statistics and Data Science Yale University New Haven CT USA. zongming.ma@yale.edu.

Delineating cell populations is crucial for understanding immune function in health and disease. Spatial omics technologies offer insights by capturing three complementary domains: single-cell molecular biomarker expression, cellular spatial relationships and tissue architecture. However, current computational methods often fail to fully integrate these multidimensional data, particularly for immune cell populations and intrinsic functional states. We introduce Cell Local Environment and Neighborhood Scan (CellLENS), a self-supervised computational method that learns cellular representations by fusing information across three spatial omics domains (expression, neighborhood and image). CellLENS markedly enhances de novo discovery of biologically relevant immune cell populations at fine granularity by integrating individual cells' molecular profiles with their neighborhood context and tissue localization. By applying CellLENS to diverse spatial proteomic and transcriptomic datasets across multiple tissue types and disease settings, we uncover unique immune cell populations functionally stratified according to their spatial contexts. Our work demonstrates the power of multi-domain data integration in spatial omics to reveal insights into immune cell heterogeneity and tissue-specific functions.

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A synthetic biological secondary metabolite,Lycogen^TM,produced and extracted from Rhodobacter sphaeroides WL-APD911 in an optimizatioal scale-up strategy

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Food Science and Human Wellness 2017年第4期6卷 195-201页

作者： Cheng-Chin Wang Shi-Ying Huang Shu-Hung Huang Zhi-Hong Wen Jyun-Ying Huang Wen-Sheng Liu Hui-Min David Wang Research and Development Department Chia-Yi SteelTainan 717TaiwanChina College of Oceanology and Food Science Quanzhou Normal UniversityQuanzhou 362000China Fujian Province Key Laboratory for the Development of Bioactive Material from Marine Algae Quanzhou 362000China Division of Plastic Surgery Department of SurgeryKaohsiung Medical University HospitalKaohsiung Medical UniversityKaohsiung 807TaiwanChina Graduate Institute of Medicine College of MedicineKaohsiung Medical UniversityKaohsiung 807TaiwanChina Center for Stem Cell Research Kaohsiung Medical UniversityKaohsiung 807TaiwanChina Department of Surgery Faculty of MedicineCollege of MedicineKaohsiung Medical UniversityKaohsiung 807TaiwanChina Orthopaedic Research Center Kaohsiung Medical UniversityKaohsiung 807TaiwanChina Doctoral Degree Program in Marine Biotechnology National Sun Yat-sen University and Academia SinicaKaohsiung 804TaiwanChina Marine Biomedical Laboratory and Center for Translational Biopharmaceuticals Department of Marine Biotechnology and ResourcesNational Sun Yat-sen UniversityKaohsiung 804TaiwanChina Graduate Institute of Biomedical Engineering National Chung Hsing UniversityTaichung 402TaiwanChina Department and Graduate Institute of Aquaculture National Kaohsiung Marine UniversityKaohsiung 811TaiwanChina Asia-Pacific Biotech Developing Inc.Kaohsiung 803TaiwanChina Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung 404TaiwanChina

The optimization of fermentation medium is important for synthetic biological secondary metabolite *** effect of rotation speed,inoculum amount,and medium supplements on the cell growth and Lycogen^TM secretion of photobacterium Rhodobacter sphaeroides WL-APD911 was *** results reveal that a higher rotational speed exhibit a higher cell density,and the increasing in the amount of inoculum amount show a slight augment on the growth of *** *** the case of nitrogen sources adding,Lycogen^TM production was achieved with a 0.5 mM l-lysine ***,the attention of Tween 80 presented a tremendous increase in the secondary *** surface methodology(RSM)exhibited the optimization of medium supplements for Lycogen^TM invention is accomplished at molasses concentration of 10 g/L,yeast extract concentration of 40 g/L,0.3%Tween 80 and NaCl concentration of 5 g/L,***,the batch fermentation is carried out in both 5 L and 20 L fermentors to study the scale-up process factors to be *** a 20 L fermentor,Lycogen^TM yields under the optimal culture condition are over 2 times than in the shake *** present results provide the Lycogen^TM optimal culture mediums,scale-up procedures and efficient extractions from *** WL-APD911.

关键词： Rhodobacter sphaeroides WL-APD911 Lycogen^TM Response surface methodology(RSM) Ferementation

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Revisiting the Plasmodium falciparum druggable genome using predicted structures and data mining

NPJ drug discovery

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NPJ drug discovery 2025年第1期2卷 3页

作者： Karla P Godinez-Macias Daisy Chen J Lincoln Wallis Miles G Siegel Anna Adam Selina Bopp Krypton Carolino Lauren B Coulson Greg Durst Vandana Thathy Lisl Esherick Madeline A Farringer Erika L Flannery Barbara Forte Tiqing Liu Luma Godoy Magalhaes Anil K Gupta Eva S Istvan Tiantian Jiang Krittikorn Kumpornsin Karen Lobb Kyle J McLean Igor M R Moura John Okombo N Connor Payne Andrew Plater Srinivasa P S Rao Jair L Siqueira-Neto Bente A Somsen Robert L Summers Rumin Zhang Michael K Gilson Francisco-Javier Gamo Brice Campo Beatriz Baragaña James Duffy Ian H Gilbert Amanda K Lukens Koen J Dechering Jacquin C Niles Case W McNamara Xiu Cheng Lyn-Marie Birkholtz Alfred W Bronkhorst David A Fidock Dyann F Wirth Daniel E Goldberg Marcus C S Lee Elizabeth A Winzeler Department of Pediatrics University of California San Diego La Jolla CA USA. Panorama Global 2101 4th Ave Ste 2100 Seattle WA USA. Lgenia Inc. 412 S Maple St Fortville IN USA. MMV Medicines for Malaria Venture 1215 Geneva Switzerland. Department of Immunology and Infectious Diseases Harvard T.H. Chan School of Public Health Boston MA USA. Holistic Drug Discovery and Development (H3D) Centre Institute of Infectious Disease and Molecular Medicine University of Cape Town Cape Town South Africa. Department of Microbiology and Immunology Columbia University Irving Medical Center New York NY USA. Center for Malaria Therapeutics and Antimicrobial Resistance Division of Infectious Diseases Department of Medicine Columbia University Irving Medical Center New York NY USA. Department of Biological Engineering Massachusetts Institute of Technology Cambridge MA USA. Division of Infectious Diseases Boston Children's Hospital Boston MA USA. Global Health Biomedical Research Novartis Emeryville CA USA. Drug Discovery Unit Division of Biological Chemistry and Drug Discovery School of Life Science University of Dundee Dundee UK. Skaggs School of Pharmacy and Pharmaceutical Sciences University of California San Diego La Jolla CA USA. Calibr-Skaggs Institute for Innovative Medicines a division of The Scripps Research Institute La Jolla CA USA. Division of Infectious Diseases Washington University School of Medicine Saint Louis MO USA. São Carlos Institute of Physics University of São Paulo São Carlos São Paulo Brazil. Center for Systems Biology Massachusetts General Hospital Boston MA USA. TropIQ Health Sciences Nijmegen The Netherlands. Infectious Disease and Microbiome Program Broad Institute Cambridge MA USA. Global Health Drug Discovery Institute Beijing China. Global Health Medicines R&D GlaxoSmithKline Tres Cantos Madrid Spain. Department of Biochemistry Genetics & Microbiology Institute for Sustainable Malaria Control University of Pretoria Private B

Identification of novel drug targets is a key component of modern drug discovery. While antimalarial targets are often identified through the mechanism of action studies on phenotypically derived inhibitors, this method tends to be time- and resource-consuming. The discoverable target space is also constrained by existing compound libraries and phenotypic assay conditions. Leveraging recent advances in protein structure prediction, we systematically assessed the genome and identified 867 candidate protein targets with evidence of small-molecule binding and blood-stage essentiality. Of these, 540 proteins showed strong essentiality evidence and lack inhibitors that have progressed to clinical trials. Expert review and rubric-based scoring of this subset based on additional criteria such as selectivity, structural information, and assay developability yielded 27 high-priority antimalarial target candidates. This study also provides a genome-wide data resource for and implements a generalizable framework for systematically evaluating and prioritizing novel pathogenic disease targets.

关键词： Target identification Target validation

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The molecular identification and phylogenetic reconstruction of Palaemonid and Penaeid shrimp from the southern part of Bangladesh

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IOP Conference Series: Earth and Environmental Science 2019年第1期236卷

作者： M J Alam S Andriyono A T M Eunus H W Kim Interdisciplinary Program of Biomedical Mechanical and Electrical Engineering Pukyong National University Busan 48513 Republic of Korea Department of Fisheries Ministry of Fisheries and Livestock Bangladesh Fisheries and Marine Faculty C Campus Jl. Mulyorejo Surabaya 60115. Universitas Airlangga Surabaya East Java Indonesia WorldFish Bangladesh and South Asia Office H#22B Road#7 Block-F Banani Dhaka- 1213 Bangladesh Department of Marine Biology Pukyong National University Republic of Korea

The study aimed to reveal the molecular identification and relationships between Palaemonid prawns and Penaeid shrimp in Bangladesh. Combined, they form an important economic part of tropical and subtropical fisheries. These species have a wide distribution range around the mangrove ecosystems, rivers, estuaries, flood plains, inundated natural depression water bodies, rice fields and other inland water bodies. Some of these species have a lack of information available about their biological and molecular characteristics. This study revealed the identification of prawn and shrimp species based on the molecular approach employed using mitochondrial COI gene markers, PCR, sequencing and matching the sequence to that stored in the NCBI database; four Palaemonid species (Macrobrachiumrosenbergii, M. lamarrei, M. kistnense,Palaemonstyliferus) and one Penaeid shrimp (Penaeus monodon) were confirmed with 99-100% confirmation of identity with multiple sequencing alignments. The inter-specific genetic divergence (K2P distance) among the family Palaemonid (Macrobrachium and Palaemon) is 0.171-0.257 %, and intraspecific genetic distance was revealed to be 0.243-0.302%. This result will be useful for obtaining the basic genetic information of these species and it will be helpful for future studies looking into the genetic biodiversity of the population structure, and finally, for the conservation and management of these resources in the southern part of Bangladesh.

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