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  1. Article: Measurement of the Dzyaloshinskii-Moriya Interaction in Mn

    Zhou, Wei / Ma, Chung Ting / Poon, S Joseph

    Nanomaterials (Basel, Switzerland)

    2023  Volume 13, Issue 10

    Abstract: ... ...

    Abstract Mn
    Language English
    Publishing date 2023-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662255-5
    ISSN 2079-4991
    ISSN 2079-4991
    DOI 10.3390/nano13101672
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Meckel's diverticulum: a five-year study of 58 cases at St. Joseph Hospital.

    Poon, H K

    Maryland state medical journal

    1979  Volume 28, Issue 7, Page(s) 40–43

    MeSH term(s) Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Humans ; Infant ; Male ; Maryland ; Meckel Diverticulum/diagnosis ; Meckel Diverticulum/pathology ; Middle Aged
    Language English
    Publishing date 1979-07
    Publishing country United States
    Document type Journal Article
    ZDB-ID 414335-8
    ISSN 0025-4363
    ISSN 0025-4363
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 352: Show issues Location:
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  3. Article ; Online: IntelliScan: Improving the quality of x-ray computed tomography surface data through intelligent selection of projection angles.

    Lifton, Joseph John / Poon, Keng Yong

    Journal of X-ray science and technology

    2022  Volume 31, Issue 1, Page(s) 119–129

    Abstract: X-ray computed tomography (XCT) enables the dimensional measurement and inspection of highly geometrically complex engineering components that are unmeasurable using optical and tactile instruments. Conventional XCT scans use a circular scan trajectory ... ...

    Abstract X-ray computed tomography (XCT) enables the dimensional measurement and inspection of highly geometrically complex engineering components that are unmeasurable using optical and tactile instruments. Conventional XCT scans use a circular scan trajectory where X-ray projections are acquired with a uniform angular spacing; this approach treats all projections as being of equal importance, in practice, some projections contain more object information than others. In this work we capitalize on this concept by intelligently selecting projections with a view to improve the quality of surface models extracted from an XCT data-set. Our approach relies on using a priori object information to select X-ray projections in which the surfaces of the object are aligned with a ray-path, thus ensuring the surface of the object is fully sampled. Results are presented showing that the proposed method is able to reduce CAD comparison errors by 16%, reduce surface form error by 3%, and improve edge contrast by 14% for a machined aluminium component.
    MeSH term(s) Computer Simulation ; Algorithms ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods ; X-Rays ; Image Processing, Computer-Assisted/methods
    Language English
    Publishing date 2022-12-18
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2012019-9
    ISSN 1095-9114 ; 0895-3996
    ISSN (online) 1095-9114
    ISSN 0895-3996
    DOI 10.3233/XST-221280
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Ultrafast switching in synthetic antiferromagnet with bilayer rare-earth transition-metal ferrimagnets.

    Ma, Chung Ting / Zhou, Wei / Poon, S Joseph

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 19945

    Abstract: In spintronics, it is important to be able to manipulate magnetization rapidly and reliably. Several methods can control magnetization, such as by applying current pulses or magnetic fields. An applied current can reverse magnetization with nanosecond ... ...

    Abstract In spintronics, it is important to be able to manipulate magnetization rapidly and reliably. Several methods can control magnetization, such as by applying current pulses or magnetic fields. An applied current can reverse magnetization with nanosecond speed through the spin torque effect. For faster switching, subpicosecond switching with femtoseconds laser pulse has been achieved in amorphous rare-earth transition-metal ferrimagnets. In this study, we employed atomistic simulations to investigate ultrafast switching in a synthetic antiferromagnet with bilayer amorphous FeGd ferrimagnets. Using a two-temperature model, we demonstrated ultrafast switching in this synthetic antiferromagnet without external magnetic fields. Furthermore, we showed that if we initially stabilize a skyrmion in this heterostructure, the ultrafast laser can switch the skyrmion state using the same mechanism. Furthermore, this bilayer design allows the control of each ferrimagnetic layer individually and opens the possibility for a magnetic tunnel junction.
    Language English
    Publishing date 2022-11-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-24234-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Artificial intelligence in gastroenterology: where are we heading?

    Sung, Joseph Jy / Poon, Nicholas Ch

    Frontiers of medicine

    2020  Volume 14, Issue 4, Page(s) 511–517

    Abstract: Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancements in scientific literature, suggesting appropriate therapies, to predicting prognosis and outcome of ... ...

    Abstract Artificial intelligence (AI) is coming to medicine in a big wave. From making diagnosis in various medical conditions, following the latest advancements in scientific literature, suggesting appropriate therapies, to predicting prognosis and outcome of diseases and conditions, AI is offering unprecedented possibilities to improve care for patients. Gastroenterology is a field that AI can make a significant impact. This is partly because the diagnosis of gastrointestinal conditions relies a lot on image-based investigations and procedures (endoscopy and radiology). AI-assisted image analysis can make accurate assessment and provide more information than conventional analysis. AI integration of genomic, epigenetic, and metagenomic data may offer new classifications of gastrointestinal cancers and suggest optimal personalized treatments. In managing relapsing and remitting diseases such as inflammatory bowel disease, irritable bowel syndrome, and peptic ulcer bleeding, convoluted neural network may formulate models to predict disease outcome, enhancing treatment efficacy. AI and surgical robots can also assist surgeons in conducting gastrointestinal operations. While the advancement and new opportunities are exciting, the responsibility and liability issues of AI-assisted diagnosis and management need much deliberations.
    MeSH term(s) Artificial Intelligence ; Gastroenterology ; Humans ; Neural Networks, Computer ; Prognosis
    Language English
    Publishing date 2020-05-26
    Publishing country China
    Document type Journal Article
    ZDB-ID 2617113-2
    ISSN 2095-0225 ; 2095-0217
    ISSN (online) 2095-0225
    ISSN 2095-0217
    DOI 10.1007/s11684-020-0742-4
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  6. Book ; Online: Half-Heusler Compounds

    Poon, S. Joseph

    Promising Materials For Mid-To-High Temperature Thermoelectric Conversion

    2019  

    Abstract: Half-Heusler compounds (space group Fm3m) has garnered increasing attention in recent years in the thermoelectric community. Three decades ago, refractory RNiSn half-Heusler compounds (R represents refractory metals such as Hf, Zr, Ti) were found to be ... ...

    Abstract Half-Heusler compounds (space group Fm3m) has garnered increasing attention in recent years in the thermoelectric community. Three decades ago, refractory RNiSn half-Heusler compounds (R represents refractory metals such as Hf, Zr, Ti) were found to be narrow-gap semiconductors with large Seebeck coefficients in 100s of micro-volt per Kelvin. Today, half-Heusler (HH) compounds have emerged as promising thermoelectric materials in the intermediate temperature range (400-800oC). HH materials are endowed with good thermal stability and scalability. Thermoelectric n-p modules based on HH materials demonstrate conversion efficiency near 10% and power density output near 9 W/cm2. The objective of this article is to present a historical account of the research and development of thermoelectric half-Heusler compounds. Particularly, there have been notable achievements since 2012 thanks to the emergence of new approaches. As a result, ZT has risen from ~1 to 1.5. The various advances made since the early 1990s to the present are recounted by categorizing half-Heusler materials into three generations (Gen): Gen-1 Gen-2, and Gen-3 HH materials.
    Keywords Condensed Matter - Materials Science ; Condensed Matter - Mesoscale and Nanoscale Physics
    Subject code 540
    Publishing date 2019-05-09
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: Measurement of the Dzyaloshinskii-Moriya Interaction in Mn4N Films that Host Skyrmions

    Zhou, Wei / Ma, Chung Ting / Poon, S. Joseph

    2023  

    Abstract: Mn4N thin film is one of the potential magnetic mediums for spintronic devices due to its ferrimagnetism with low magnetization, large perpendicular magnetic anisotropy (PMA), thermal stability, and large domain wall velocity. A recent experiment ... ...

    Abstract Mn4N thin film is one of the potential magnetic mediums for spintronic devices due to its ferrimagnetism with low magnetization, large perpendicular magnetic anisotropy (PMA), thermal stability, and large domain wall velocity. A recent experiment confirmed the existence of tunable magnetic skyrmions in MgO/Mn4N/CuxPt1-x(x=0,0.5,0.9,0.95), and density functional theory (DFT) calculation provided a large theoretical value of the interfacial Dzyaloshinskii-Moriya Interaction (iDMI) of Mn4N/Pt, which is consistent with the predicted chemical trend of DMI in transition metal/Pt films. So far, measured DMI has not been reported in Mn4N which is needed in order to support the predicted large DMI value. This paper reports the average DMI of MgO/Mn4N(17nm)/CuxPt1-x(3nm), extracted from the anomalous Hall effect with various tilted angles, based on magnetic droplet theory with DMI effects. The DMI decreases from 0.267 mJ/m2 to 0.011 mJ/m2 with non-linear tendencies as Cu concentration in the CuxPt1-x capping layer increases from 0 to 1, demonstrating the control of DMI through CuxPt1-x capping layer. Furthermore, a solid solution model is developed, based on X-ray photoelectron spectroscopy (XPS) compositional depth profile, to analyze the possible effects on DMI from the mixing layers at the surface of Mn4N. After taking into account the mixing layers, the large DMI in Mn4N film with Pt capping is consistent with the predicted DMI.

    Comment: 13 pages, 5 figures
    Keywords Condensed Matter - Materials Science
    Subject code 530
    Publishing date 2023-05-15
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Self-driving cars and AI-assisted endoscopy: Who should take the responsibility when things go wrong?

    Poon, Nicholas Ch / Sung, Joseph Jy

    Journal of gastroenterology and hepatology

    2019  Volume 34, Issue 4, Page(s) 625–626

    MeSH term(s) Artificial Intelligence/legislation & jurisprudence ; Artificial Intelligence/trends ; Automobile Driving ; Automobiles ; Decision Making ; Delivery of Health Care/legislation & jurisprudence ; Delivery of Health Care/trends ; Endoscopy, Gastrointestinal/legislation & jurisprudence ; Endoscopy, Gastrointestinal/trends ; Humans ; Liability, Legal
    Language English
    Publishing date 2019-07-19
    Publishing country Australia
    Document type Editorial
    ZDB-ID 632882-9
    ISSN 1440-1746 ; 0815-9319
    ISSN (online) 1440-1746
    ISSN 0815-9319
    DOI 10.1111/jgh.14641
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 2180: Show issues Location:
    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.MO 299: Show issues

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  9. Article ; Online: Reporting of PPI and the MCID in phase III/IV randomised controlled trials-a systematic review.

    Brennan, Joseph / Poon, Michael T C / Christopher, Edward / Fulton, Olivia / Porteous, Carol / Brennan, Paul M

    Trials

    2023  Volume 24, Issue 1, Page(s) 370

    Abstract: Background: Patient and public involvement (PPI) in clinical trial design contributes to ensuring the research objectives and outcome measures are relevant to patients. The minimal clinically important difference (MCID) in the primary outcome influences ...

    Abstract Background: Patient and public involvement (PPI) in clinical trial design contributes to ensuring the research objectives and outcome measures are relevant to patients. The minimal clinically important difference (MCID) in the primary outcome influences trial design and feasibility and should be predicated on PPI. We aimed to determine current practice of reporting PPI and the MCID in phase III/IV randomised controlled trials (RCTs).
    Methods: Following a search of Medline, Embase, and the Cochrane Central Register of Controlled Trials, we included primary publications of phase III/IV RCTs, in English, inclusive of any medical specialty or type of intervention, that reported a health-related outcome. We excluded protocols and secondary publications of RCTs. We extracted RCT characteristics, the use of PPI, and use of the MCID.
    Results: Between 1 July 2019 and 13 January 2020, 123 phase III/IV RCTs matched our eligibility criteria. Ninety percent evaluated a medical rather than surgical intervention. Oncology accounted for 21% of all included RCTs. Only 2.4% (n = 3) and 1.6% (n = 2) RCTs described PPI and the MCID respectively.
    Conclusions: PPI and the MCID are poorly reported, so it is uncertain how these contributed to trial design. Improvement in the reporting of these items would increase confidence that results are relevant and clinically significant to patients, contributing to improving the overall trial design.
    Trial registration: Not registered.
    MeSH term(s) Humans ; Minimal Clinically Important Difference ; Outcome Assessment, Health Care ; Randomized Controlled Trials as Topic
    Language English
    Publishing date 2023-05-31
    Publishing country England
    Document type Systematic Review ; Journal Article ; Review
    ZDB-ID 2040523-6
    ISSN 1745-6215 ; 1468-6694 ; 1745-6215
    ISSN (online) 1745-6215
    ISSN 1468-6694 ; 1745-6215
    DOI 10.1186/s13063-023-07367-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Opening the black box of AI-Medicine.

    Poon, Aaron I F / Sung, Joseph J Y

    Journal of gastroenterology and hepatology

    2021  Volume 36, Issue 3, Page(s) 581–584

    Abstract: One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that physicians are reluctant to trust and adopt something that they do not fully understand and regarded as a "black box." Machine Learning (ML) can assist in reading ...

    Abstract One of the biggest challenges of utilizing artificial intelligence (AI) in medicine is that physicians are reluctant to trust and adopt something that they do not fully understand and regarded as a "black box." Machine Learning (ML) can assist in reading radiological, endoscopic and histological pictures, suggesting diagnosis and predict disease outcome, and even recommending therapy and surgical decisions. However, clinical adoption of these AI tools has been slow because of a lack of trust. Besides clinician's doubt, patients lacking confidence with AI-powered technologies also hamper development. While they may accept the reality that human errors can occur, little tolerance of machine error is anticipated. In order to implement AI medicine successfully, interpretability of ML algorithm needs to improve. Opening the black box in AI medicine needs to take a stepwise approach. Small steps of biological explanation and clinical experience in ML algorithm can help to build trust and acceptance. AI software developers will have to clearly demonstrate that when the ML technologies are integrated into the clinical decision-making process, they can actually help to improve clinical outcome. Enhancing interpretability of ML algorithm is a crucial step in adopting AI in medicine.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Clinical Decision-Making ; Humans ; Machine Learning ; Medicine/methods ; Medicine/trends
    Language English
    Publishing date 2021-03-11
    Publishing country Australia
    Document type Journal Article
    ZDB-ID 632882-9
    ISSN 1440-1746 ; 0815-9319
    ISSN (online) 1440-1746
    ISSN 0815-9319
    DOI 10.1111/jgh.15384
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    In stock of ZB MED Cologne/Königswinter

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    Zs.MO 299: Show issues

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