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  1. Buch ; Online ; E-Book: Renewable fuels

    O'Connor, Jacqueline / Noble, Bobby / Lieuwen, Timothy C.

    sources, conversion, and utilization

    2023  

    Abstract: Focusing on a critical aspect of the future clean energy system - renewable fuels - this book will be your complete guide on how these fuels are manufactured, the considerations associated with utilising them, and their real-world applications. Written ... ...

    Verfasserangabe [edited by] Jacqueline O'Connor, Pennsylvania State University, Bobby Noble, EPRI, Tim Lieuwen, Georgia Institute of Technology
    Abstract Focusing on a critical aspect of the future clean energy system - renewable fuels - this book will be your complete guide on how these fuels are manufactured, the considerations associated with utilising them, and their real-world applications. Written by experts across the field, the book presents many professional perspectives, providing an in-depth understanding of this crucial topic. Clearly explained and organised into four key parts, this book explores the technical aspects written in an accessible way. First, it discusses the dominant energy conversion approaches and the impact that fuel properties have on system operability. Part II outlines the chemical carrier options available for these conversion devices, including gaseous, liquid, and solid fuels. In the third part, it describes the physics and chemistry of combustion, revealing the issues associated with utilizing these fuels. Finally, Part IV presents real-world case studies, demonstrating the successful pathways towards a net-zero carbon future.
    Schlagwörter Renewable energy sources ; Fuel
    Thema/Rubrik (Code) 333.79/4
    Sprache Englisch
    Umfang 1 online resource (xv, 566 pages) :, digital, PDF file(s).
    Ausgabenhinweis 1st ed.
    Verlag Cambridge University Press
    Erscheinungsort Cambridge, United Kingdom ; New York, NY, USA
    Dokumenttyp Buch ; Online ; E-Book
    Anmerkung Title from publisher's bibliographic system (viewed on 05 Dec 2022).
    Bemerkung Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 1-009-08094-6 ; 1-009-07236-6 ; 9781316512883 ; 978-1-009-08094-1 ; 978-1-009-07236-6 ; 1316512886
    Datenquelle ZB MED Katalog Medizin, Gesundheit, Ernährung, Umwelt, Agrar

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  2. Artikel: Benchmarking and Optimization of Methods for the Detection of Identity-By-Descent in

    Guo, Bing / Takala-Harrison, Shannon / O'Connor, Timothy D

    bioRxiv : the preprint server for biology

    2024  

    Abstract: Genomic surveillance is crucial for identifying at-risk populations for targeted malaria control and elimination. Identity-by-descent (IBD) is being used ... ...

    Abstract Genomic surveillance is crucial for identifying at-risk populations for targeted malaria control and elimination. Identity-by-descent (IBD) is being used in
    Sprache Englisch
    Erscheinungsdatum 2024-05-05
    Erscheinungsland United States
    Dokumenttyp Preprint
    DOI 10.1101/2024.05.04.592538
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Emergent trees in

    O'Connor, Timothy / Ferguson, Angela / Clegg, Bruce W / Pallett, Nita / Midgley, Jeremy J / Shimbani, Julius

    PeerJ

    2024  Band 12, Seite(n) e16961

    Abstract: Colophospermum ... ...

    Abstract Colophospermum mopane
    Mesh-Begriff(e) Animals ; Trees ; Elephants ; Forests ; Plants ; Fabaceae
    Sprache Englisch
    Erscheinungsdatum 2024-02-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.16961
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: COVID-19 screening with digital holographic microscopy using intra-patient probability functions of spatio-temporal bio-optical attributes.

    O'Connor, Timothy / Javidi, Bahram

    Biomedical optics express

    2022  Band 13, Heft 10, Seite(n) 5377–5389

    Abstract: We present an automated method for COVID-19 screening using the intra-patient population distributions of bio-optical attributes extracted from digital holographic microscopy reconstructed red blood cells. Whereas previous approaches have aimed to ... ...

    Abstract We present an automated method for COVID-19 screening using the intra-patient population distributions of bio-optical attributes extracted from digital holographic microscopy reconstructed red blood cells. Whereas previous approaches have aimed to identify infection by classifying individual cells, here, we propose an approach to incorporate the attribute distribution information from the population of a given human subjects' cells into our classification scheme and directly classify subjects at the patient level. To capture the intra-patient distribution information in a generalized way, we propose an approach based on the Bag-of-Features (BoF) methodology to transform histograms of bio-optical attribute distributions into feature vectors for classification via a linear support vector machine. We compare our approach with simpler classifiers directly using summary statistics such as mean, standard deviation, skewness, and kurtosis of the distributions. We also compare to a k-nearest neighbor classifier using the Kolmogorov-Smirnov distance as a distance metric between the attribute distributions of each subject. We lastly compare our approach to previously published methods for classification of individual red blood cells. In each case, the methodology proposed in this paper provides the highest patient classification performance, correctly classifying 22 out of 24 individuals and achieving 91.67% classification accuracy with 90.00% sensitivity and 92.86% specificity. The incorporation of distribution information for classification additionally led to the identification of a singular temporal-based bio-optical attribute capable of highly accurate patient classification. To the best of our knowledge, this is the first report of a machine learning approach using the intra-patient probability distribution information of bio-optical attributes obtained from digital holographic microscopy for disease screening.
    Sprache Englisch
    Erscheinungsdatum 2022-09-15
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.466005
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Carbonservation with Demonstrated Biodiversity and Carbon Gains: Carbon Can Pay But Biodiversity Must Lead.

    Bond, Anthelia J / O'Connor, Patrick J / Cavagnaro, Timothy R

    Environmental management

    2024  Band 73, Heft 4, Seite(n) 742–752

    Abstract: Land use has a critical role to play in both climate change mitigation and biodiversity conservation, and increasingly there have been calls to integrate policies for concurrently meeting Paris Agreement commitments and the UN decade on ecosystem ... ...

    Abstract Land use has a critical role to play in both climate change mitigation and biodiversity conservation, and increasingly there have been calls to integrate policies for concurrently meeting Paris Agreement commitments and the UN decade on ecosystem restoration 2021-2030. Currently however, investment activities have been dominated by climate change mitigation activities, including through the development of carbon markets (both voluntary and compliance markets). Whilst climate change mitigation is to be welcomed, the prioritization of carbon in avoided deforestation and reforestation can lead to suboptimal or negative outcomes for biodiversity. Restoration of degraded native vegetation may provide an opportunity for concurrent production of both carbon and biodiversity benefits, by harnessing existing carbon markets without the need to trade-off biodiversity outcomes. Here we demonstrate that carbon sequestered by restoring degraded temperate woodland can pay the price of the restored biodiversity. This is shown using conservative carbon prices in an established market (during both a voluntary and compliance market phase), and the restoration price revealed by a 10-year conservation incentive payment scheme. When recovery rates are high, market prices for carbon could pay the full price of restoration, with additional independent investment needed in cases where recovery trajectories are slower. Using carbon markets to fund restoration of degraded native vegetation thereby provides a solution for constrained resources and problematic trade-offs between carbon and biodiversity outcomes. Multi-attribute markets offer the potential to greatly increase the extent of restoration for biodiversity conservation, while providing an affordable source of carbon sequestration and enhancing economic benefits to landowners.
    Mesh-Begriff(e) Ecosystem ; Carbon ; Conservation of Natural Resources ; Biodiversity ; Forests ; Carbon Sequestration
    Chemische Substanzen Carbon (7440-44-0)
    Sprache Englisch
    Erscheinungsdatum 2024-01-09
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1478932-2
    ISSN 1432-1009 ; 0364-152X
    ISSN (online) 1432-1009
    ISSN 0364-152X
    DOI 10.1007/s00267-023-01928-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Native American Genomic Diversity through Ancient DNA.

    O'Connor, Timothy D

    Cell

    2019  Band 176, Heft 1-2, Seite(n) 405–406

    Sprache Englisch
    Erscheinungsdatum 2019-01-11
    Erscheinungsland United States
    Dokumenttyp Published Erratum
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2018.12.033
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  7. Artikel ; Online: Adult expression of Semaphorins and Plexins is essential for motor neuron survival.

    Vaikakkara Chithran, Aarya / Allan, Douglas W / O'Connor, Timothy P

    Scientific reports

    2023  Band 13, Heft 1, Seite(n) 5894

    Abstract: Axon guidance cues direct the growth and steering of neuronal growth cones, thus guiding the axons to their targets during development. Nonetheless, after axons have reached their targets and established functional circuits, many mature neurons continue ... ...

    Abstract Axon guidance cues direct the growth and steering of neuronal growth cones, thus guiding the axons to their targets during development. Nonetheless, after axons have reached their targets and established functional circuits, many mature neurons continue to express these developmental cues. The role of axon guidance cues in the adult nervous system has not been fully elucidated. Using the expression pattern data available on FlyBase, we found that more than 96% of the guidance genes that are expressed in the Drosophila melanogaster embryo continue to be expressed in adults. We utilized the GeneSwitch and TARGET systems to spatiotemporally knockdown the expression of these guidance genes selectively in the adult neurons, once the development was completed. We performed an RNA interference (RNAi) screen against 44 guidance genes in the adult Drosophila nervous system and identified 14 genes that are required for adult survival and normal motility. Additionally, we show that adult expression of Semaphorins and Plexins in motor neurons is necessary for neuronal survival, indicating that guidance genes have critical functions in the mature nervous system.
    Mesh-Begriff(e) Animals ; Drosophila melanogaster/metabolism ; Semaphorins/genetics ; Motor Neurons/metabolism ; Axons/metabolism ; Drosophila/metabolism
    Chemische Substanzen plexin ; Semaphorins
    Sprache Englisch
    Erscheinungsdatum 2023-04-11
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-32943-4
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Artikel ; Online: How I Teach: Ultrasound-guided Peripheral Venous Access.

    Gorgone, Matthew / O'Connor, Timothy P / Maximous, Stephanie I

    ATS scholar

    2022  Band 3, Heft 4, Seite(n) 598–609

    Abstract: Ultrasound-guided peripheral intravenous (IV) placement is often required for patients with difficult IV access and is associated with a reduction in central line placement. Despite the importance, there is no standardized technical approach, and there ... ...

    Abstract Ultrasound-guided peripheral intravenous (IV) placement is often required for patients with difficult IV access and is associated with a reduction in central line placement. Despite the importance, there is no standardized technical approach, and there is limited ability to attain mastery through simulation. We describe our step-by-step approach for teaching ultrasound-guided IV placement at the bedside using short-axis dynamic guidance, with emphasis on advancing the needle and catheter device almost entirely into the vessel before threading the catheter. Our teaching approach allows the opportunity for trainees to maximize the learning potential of a single insertion experience, which includes focused preprocedure hands-on practice, instruction with real-time feedback at the bedside, and a post-procedure debrief with reinforcement of concepts.
    Sprache Englisch
    Erscheinungsdatum 2022-10-26
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2690-7097
    ISSN (online) 2690-7097
    DOI 10.34197/ats-scholar.2022-0029HT
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  9. Artikel ; Online: COVID-19 detection from red blood cells using highly comparative time-series analysis (HCTSA) in digital holographic microscopy.

    O'Connor, Timothy / Santaniello, Sabato / Javidi, Bahram

    Optics express

    2022  Band 30, Heft 2, Seite(n) 1723–1736

    Abstract: We present an automated method for COVID-19 screening based on reconstructed phase profiles of red blood cells (RBCs) and a highly comparative time-series analysis (HCTSA). Video digital holographic data -was obtained using a compact, field-portable ... ...

    Abstract We present an automated method for COVID-19 screening based on reconstructed phase profiles of red blood cells (RBCs) and a highly comparative time-series analysis (HCTSA). Video digital holographic data -was obtained using a compact, field-portable shearing microscope to capture the temporal fluctuations and spatio-temporal dynamics of live RBCs. After numerical reconstruction of the digital holographic data, the optical volume is calculated at each timeframe of the reconstructed data to produce a time-series signal for each cell in our dataset. Over 6000 features are extracted on the time-varying optical volume sequences using the HCTSA to quantify the spatio-temporal behavior of the RBCs, then a linear support vector machine is used for classification of individual RBCs. Human subjects are then classified for COVID-19 based on the consensus of their cells' classifications. The proposed method is tested on a dataset of 1472 RBCs from 24 human subjects (10 COVID-19 positive, 14 healthy) collected at UConn Health Center. Following a cross-validation procedure, our system achieves 82.13% accuracy, with 92.72% sensitivity, and 73.21% specificity (area under the receiver operating characteristic curve: 0.8357). Furthermore, the proposed system resulted in 21 out of 24 human subjects correctly labeled. To the best of our knowledge this is the first report of a highly comparative time-series analysis using digital holographic microscopy data.
    Mesh-Begriff(e) COVID-19/blood ; COVID-19/diagnostic imaging ; Case-Control Studies ; Equipment Design ; Erythrocytes/classification ; Holography/instrumentation ; Holography/methods ; Humans ; Intravital Microscopy/instrumentation ; Intravital Microscopy/methods ; Preliminary Data ; ROC Curve ; Sensitivity and Specificity
    Sprache Englisch
    Erscheinungsdatum 2022-02-21
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.442321
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  10. Artikel ; Online: Automated sickle cell disease identification in human red blood cells using a lensless single random phase encoding biosensor and convolutional neural networks.

    Douglass, Peter M / O'Connor, Timothy / Javidi, Bahram

    Optics express

    2022  Band 30, Heft 20, Seite(n) 35965–35977

    Abstract: We present a compact, field portable, lensless, single random phase encoding biosensor for automated classification between healthy and sickle cell disease human red blood cells. Microscope slides containing 3 µl wet mounts of whole blood samples from ... ...

    Abstract We present a compact, field portable, lensless, single random phase encoding biosensor for automated classification between healthy and sickle cell disease human red blood cells. Microscope slides containing 3 µl wet mounts of whole blood samples from healthy and sickle cell disease afflicted human donors are input into a lensless single random phase encoding (SRPE) system for disease identification. A partially coherent laser source (laser diode) illuminates the cells under inspection wherein the object complex amplitude propagates to and is pseudorandomly encoded by a diffuser, then the intensity of the diffracted complex waveform is captured by a CMOS image sensor. The recorded opto-biological signatures are transformed using local binary pattern map generation during preprocessing then input into a pretrained convolutional neural network for classification between healthy and disease-states. We further provide analysis that compares the performance of several neural network architectures to optimize our classification strategy. Additionally, we assess the performance and computational savings of classifying on subsets of the opto-biological signatures with substantially reduced dimensionality, including one dimensional cropping of the recorded signatures. To the best of our knowledge, this is the first report of a lensless SRPE biosensor for human disease identification. As such, the presented approach and results can be significant for low-cost disease identification both in the field and for healthcare systems in developing countries which suffer from constrained resources.
    Mesh-Begriff(e) Humans ; Neural Networks, Computer ; Erythrocytes ; Anemia, Sickle Cell/diagnosis ; Biosensing Techniques
    Sprache Englisch
    Erscheinungsdatum 2022-09-01
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.469199
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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