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

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

    sources, conversion, and utilization

    2022  

    Abstract: Comprehensive text on renewable fuels- key to a net-zero carbon future. Detailing how they are made and used, including case-studies. ...

    Author's details Jacqueline O'Connor, Bobby Noble, and Tim Lieuwen
    Abstract Comprehensive text on renewable fuels- key to a net-zero carbon future. Detailing how they are made and used, including case-studies.
    Keywords Renewable energy sources ; Fuel
    Subject code 333.79/4
    Language English
    Size 1 online resource (584 pages)
    Edition 1st ed.
    Publisher Cambridge University Press
    Publishing place Cambridge, UK
    Document type Book ; Online ; E-Book
    Remark 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
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: Emergent trees in

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

    PeerJ

    2024  Volume 12, Page(s) e16961

    Abstract: Colophospermum ... ...

    Abstract Colophospermum mopane
    MeSH term(s) Animals ; Trees ; Elephants ; Forests ; Plants ; Fabaceae
    Language English
    Publishing date 2024-02-26
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2703241-3
    ISSN 2167-8359 ; 2167-8359
    ISSN (online) 2167-8359
    ISSN 2167-8359
    DOI 10.7717/peerj.16961
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: 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  Volume 13, Issue 10, Page(s) 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.
    Language English
    Publishing date 2022-09-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2572216-5
    ISSN 2156-7085
    ISSN 2156-7085
    DOI 10.1364/BOE.466005
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  4. Article ; 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  Volume 73, Issue 4, Page(s) 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 term(s) Ecosystem ; Carbon ; Conservation of Natural Resources ; Biodiversity ; Forests ; Carbon Sequestration
    Chemical Substances Carbon (7440-44-0)
    Language English
    Publishing date 2024-01-09
    Publishing country United States
    Document type 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
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  5. Article ; Online: Native American Genomic Diversity through Ancient DNA.

    O'Connor, Timothy D

    Cell

    2019  Volume 176, Issue 1-2, Page(s) 405–406

    Language English
    Publishing date 2019-01-11
    Publishing country United States
    Document type 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
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 1167: Show issues Location:
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  6. Article ; 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  Volume 13, Issue 1, Page(s) 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 term(s) Animals ; Drosophila melanogaster/metabolism ; Semaphorins/genetics ; Motor Neurons/metabolism ; Axons/metabolism ; Drosophila/metabolism
    Chemical Substances plexin ; Semaphorins
    Language English
    Publishing date 2023-04-11
    Publishing country England
    Document type 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
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: How I Teach: Ultrasound-guided Peripheral Venous Access.

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

    ATS scholar

    2022  Volume 3, Issue 4, Page(s) 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.
    Language English
    Publishing date 2022-10-26
    Publishing country United States
    Document type Journal Article
    ISSN 2690-7097
    ISSN (online) 2690-7097
    DOI 10.34197/ats-scholar.2022-0029HT
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  8. Article ; 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  Volume 30, Issue 2, Page(s) 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 term(s) 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
    Language English
    Publishing date 2022-02-21
    Publishing country United States
    Document type 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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  9. Article ; 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  Volume 30, Issue 20, Page(s) 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 term(s) Humans ; Neural Networks, Computer ; Erythrocytes ; Anemia, Sickle Cell/diagnosis ; Biosensing Techniques
    Language English
    Publishing date 2022-09-01
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1491859-6
    ISSN 1094-4087 ; 1094-4087
    ISSN (online) 1094-4087
    ISSN 1094-4087
    DOI 10.1364/OE.469199
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  10. Article ; Online: Native American Genomic Diversity through Ancient DNA.

    O'Connor, Timothy D

    Cell

    2018  Volume 175, Issue 5, Page(s) 1173–1174

    Abstract: Ancient DNA is a powerful tool to understand the evolutionary dynamics of both current and ancestral populations. Posth et al. use ancient DNA to elucidate important questions surrounding the peopling of Central and South America, giving us greater ... ...

    Abstract Ancient DNA is a powerful tool to understand the evolutionary dynamics of both current and ancestral populations. Posth et al. use ancient DNA to elucidate important questions surrounding the peopling of Central and South America, giving us greater insights into the ancestry of genetically understudied populations.
    MeSH term(s) DNA, Ancient ; Genetics, Population ; Genomics ; Humans ; Indians, North American ; South America
    Chemical Substances DNA, Ancient
    Language English
    Publishing date 2018-11-13
    Publishing country United States
    Document type Journal Article ; Comment
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2018.10.058
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    In stock of ZB MED Cologne/Königswinter

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    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)
    Zs.MG 58: Show issues

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