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  1. Article ; Online: Differential Interactions of the Proteasome Inhibitor PI31 with Constitutive and Immuno-20S Proteasomes.

    Wang, Jason / Kjellgren, Abbey / DeMartino, George N

    Biochemistry

    2024  Volume 63, Issue 8, Page(s) 1000–1015

    Abstract: PI31 ( ...

    Abstract PI31 (
    MeSH term(s) Proteasome Endopeptidase Complex/metabolism ; Proteasome Inhibitors/pharmacology ; Cryoelectron Microscopy ; Proteins/chemistry ; Cytoplasm/metabolism ; Antiviral Agents
    Chemical Substances Proteasome Endopeptidase Complex (EC 3.4.25.1) ; Proteasome Inhibitors ; Proteins ; Antiviral Agents
    Language English
    Publishing date 2024-04-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1108-3
    ISSN 1520-4995 ; 0006-2960
    ISSN (online) 1520-4995
    ISSN 0006-2960
    DOI 10.1021/acs.biochem.3c00707
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 217: 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)

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  2. Article ; Online: The protein folding rate and the geometry and topology of the native state.

    Wang, Jason / Panagiotou, Eleni

    Scientific reports

    2022  Volume 12, Issue 1, Page(s) 6384

    Abstract: Proteins fold in 3-dimensional conformations which are important for their function. Characterizing the global conformation of proteins rigorously and separating secondary structure effects from topological effects is a challenge. New developments in ... ...

    Abstract Proteins fold in 3-dimensional conformations which are important for their function. Characterizing the global conformation of proteins rigorously and separating secondary structure effects from topological effects is a challenge. New developments in applied knot theory allow to characterize the topological characteristics of proteins (knotted or not). By analyzing a small set of two-state and multi-state proteins with no knots or slipknots, our results show that 95.4% of the analyzed proteins have non-trivial topological characteristics, as reflected by the second Vassiliev measure, and that the logarithm of the experimental protein folding rate depends on both the local geometry and the topology of the protein's native state.
    MeSH term(s) Protein Conformation ; Protein Folding ; Protein Structure, Secondary ; Proteins/chemistry
    Chemical Substances Proteins
    Language English
    Publishing date 2022-04-16
    Publishing country England
    Document type Journal Article ; Research Support, U.S. Gov't, Non-P.H.S.
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-022-09924-0
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  3. Article ; Online: Online personal ads and its implication for sexual health risks: an observational analysis of posts.

    Wang, Jason / Young, Sean D

    Sexual health

    2022  Volume 19, Issue 2, Page(s) 122–126

    Abstract: Background: People use online personal advertisements (ads) to solicit sexual partners. Data from online ads are often publicly available, allowing researchers to better understand the topics discussed and potential role of online ads in sexual health ... ...

    Abstract Background: People use online personal advertisements (ads) to solicit sexual partners. Data from online ads are often publicly available, allowing researchers to better understand the topics discussed and potential role of online ads in sexual health and risk behaviours. This study aims to examine those research questions.
    Methods: We collected posts on ClassifiedAds.com from the US (August 2019- February 2020). Gender identity was abstracted from post title, when available. HIV risk-related terms were abstracted from post title and content and were used to dichotomise the following variables: (1) ads describing sexual risk behaviours; (2) ads mentioning concerns over substance use or sexually transmitted infections/HIV; and (3) ads mentioning an interest in substance use. Descriptive analysis and logistic regression were conducted.
    Results: A total of n =12866 unique ads were posted; 72.4% posted by men. Most posts came from the southern US (34.7%) and from urban areas (89.6%). Few ads contained images (21.9%) or words associated with substance use (1%), while 26% mentioned substance use or STI/HIV concern. Logistic regression models indicated that ads in the South were less likely to contain substance use or STI/HIV concern than ads from the Midwest. Also, women were less likely than men to post about substance use or mention substance use or STI/HIV concern.
    Conclusions: Personal ads offer a glimpse into Internet-mediated sex encounters and sexual health risks among those who seek sex online. The real-time data collected has potential to highlight elevated prevalence of sexual risk behaviours that may put individuals at risk for STI/HIV or substance use.
    MeSH term(s) Female ; Humans ; Male ; Sexual Health ; HIV Infections/epidemiology ; Gender Identity ; Advertising ; Sexually Transmitted Diseases/epidemiology ; Sexual Behavior ; Sexual Partners ; Substance-Related Disorders/epidemiology ; Homosexuality, Male ; Risk-Taking
    Language English
    Publishing date 2022-04-21
    Publishing country Australia
    Document type Observational Study ; Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2256731-8
    ISSN 1449-8987 ; 1448-5028
    ISSN (online) 1449-8987
    ISSN 1448-5028
    DOI 10.1071/SH21222
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6421: Show issues Location:
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    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
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  4. Article: Local and global topics in text modeling of web pages nested in web sites

    Wang, Jason / Weiss, Robert E.

    Computational statistics & data analysis. 2022 Sept., v. 173

    2022  

    Abstract: Topic models assert that documents are distributions over latent topics and latent topics are distributions over words. A nested document collection has documents nested inside a higher order structure such as articles nested in journals, podcasts within ...

    Abstract Topic models assert that documents are distributions over latent topics and latent topics are distributions over words. A nested document collection has documents nested inside a higher order structure such as articles nested in journals, podcasts within authors, or web pages nested in web sites. In a single collection of documents, topics are global or shared across all documents. For web pages nested in web sites, topic frequencies likely vary across web sites and within a web site, topic frequencies almost certainly vary from web page to web page. A hierarchical prior for topic frequencies models this hierarchical structure with a global topic distribution, web site topic distributions varying around the global topic distribution, and web page topic distributions varying around the web site topic distribution. Web pages in one United States local health department web site often contain local geographic and news topics not found on web pages of other local health department web sites. For web pages nested in web sites, some topics are likely local topics and unique to an individual web site. Regular topic models ignore the nesting structure and may identify local topics but cannot label those topics as local nor identify the corresponding web site owner. Explicitly modeling local topics identifies the owning web site and identifies the topic as local. In US health web site data, topic coverage is defined at the web site level after removing local topic words from pages. Hierarchical local topic models can be used to study how well health topics are covered.
    Keywords Internet ; data analysis ; statistics
    Language English
    Dates of publication 2022-09
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 1478763-5
    ISSN 0167-9473
    ISSN 0167-9473
    DOI 10.1016/j.csda.2022.107518
    Database NAL-Catalogue (AGRICOLA)

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  5. Book ; Online: Interpretability, Generalizability, and Memory of Reinforcement Learning Agents in Closed Drafting Games

    Rezai, Ryan / Wang, Jason

    2023  

    Abstract: Closed drafting or "pick and pass" is a popular game mechanic where each round players select a card or other playable element from their hand and pass the rest to the next player. In this paper, we establish first-principle interpretability, ... ...

    Abstract Closed drafting or "pick and pass" is a popular game mechanic where each round players select a card or other playable element from their hand and pass the rest to the next player. In this paper, we establish first-principle interpretability, generalizability, and memory benchmarks for studying model-free reinforcement learning (RL) algorithms playing closed drafting games. Specifically in a popular family of closed drafting games called "Sushi Go Party!", in which we achieve state-of-the-art performance. We fit decision rules to interpret the strategy of trained RL agents and compare these to the ranking preferences of different types of human players, finding easily understandable explanations of the disparate performance of RL agents in this environment. As Sushi Go Party! can be expressed as a set of closely-related games based on the set of cards in play, we quantify the generalizability of RL models trained on various sets of cards, establishing key trends between performance and the set distance between the train and evaluation game configurations. Using the explicitly calculable memory of other player's hands in closed drafting games, we create measures of the ability of RL models to learn memory.

    Comment: 4 pages, 5 figures, equal contribution
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 700
    Publishing date 2023-10-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Botfly myiasis after travel to Bolivia.

    Chattopadhyay, Aheli / Wang, Jason F / Wei, Maria L

    Skin health and disease

    2023  Volume 3, Issue 5, Page(s) e253

    Abstract: Following a trip to Bolivia, a 32-year-old woman developed a left lower leg ulcer with a sensation of movement within the lesion. After being seen by four primary care providers, she was referred to dermatology 7 weeks after her return from Bolivia. At ... ...

    Abstract Following a trip to Bolivia, a 32-year-old woman developed a left lower leg ulcer with a sensation of movement within the lesion. After being seen by four primary care providers, she was referred to dermatology 7 weeks after her return from Bolivia. At that time, she was found to have a 5 mm weeping ulcer, with a live larva visible at the base. We conducted a punch biopsy for botfly removal, after which the patient healed well. Herein we discuss the ways in which clinical presentation, history of travel, dermoscopy, and ultrasound can contribute to diagnosing botfly myiasis. While treatment of botfly infestation is not required, we discuss the importance of shared decision-making in considering treatment, as well as methods for extraction, including mechanical or surgical removal, which may help to reduce patient anxiety and the risk for secondary infection. As global travel resumes to levels prior to the Covid-19 pandemic, it is important for dermatologists to be aware of the presenting symptoms and treatment of tropical skin disorders.
    Language English
    Publishing date 2023-06-28
    Publishing country England
    Document type Case Reports
    ISSN 2690-442X
    ISSN (online) 2690-442X
    DOI 10.1002/ski2.253
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  7. Book: Pattern discovery in biomolecular data

    Wang, Jason T. L.

    tools, techniques, and applications

    1999  

    Author's details ed. by Jason T. L. Wang
    Language English
    Size XIX, 251 S. : Ill., graph. Darst.
    Publisher Oxford Univ. Press
    Publishing place New York u.a.
    Publishing country United States
    Document type Book
    Note Includes bibliographical references and index
    HBZ-ID HT011212131
    ISBN 0-19-511940-1 ; 978-0-19-511940-4
    Database Catalogue ZB MED Medicine, Health

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    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2000 A 16 order for loan Magazin

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  8. Article ; Online: Operational prediction of solar flares using a transformer-based framework.

    Abduallah, Yasser / Wang, Jason T L / Wang, Haimin / Xu, Yan

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 13665

    Abstract: Solar flares are explosions on the Sun. They happen when energy stored in magnetic fields around solar active regions (ARs) is suddenly released. Solar flares and accompanied coronal mass ejections are sources of space weather, which negatively affects a ...

    Abstract Solar flares are explosions on the Sun. They happen when energy stored in magnetic fields around solar active regions (ARs) is suddenly released. Solar flares and accompanied coronal mass ejections are sources of space weather, which negatively affects a variety of technologies at or near Earth, ranging from blocking high-frequency radio waves used for radio communication to degrading power grid operations. Monitoring and providing early and accurate prediction of solar flares is therefore crucial for preparedness and disaster risk management. In this article, we present a transformer-based framework, named SolarFlareNet, for predicting whether an AR would produce a [Formula: see text]-class flare within the next 24 to 72 h. We consider three [Formula: see text] classes, namely the [Formula: see text]M5.0 class, the [Formula: see text]M class and the [Formula: see text]C class, and build three transformers separately, each corresponding to a [Formula: see text] class. Each transformer is used to make predictions of its corresponding [Formula: see text]-class flares. The crux of our approach is to model data samples in an AR as time series and to use transformers to capture the temporal dynamics of the data samples. Each data sample consists of magnetic parameters taken from Space-weather HMI Active Region Patches (SHARP) and related data products. We survey flare events that occurred from May 2010 to December 2022 using the Geostationary Operational Environmental Satellite X-ray flare catalogs provided by the National Centers for Environmental Information (NCEI), and build a database of flares with identified ARs in the NCEI flare catalogs. This flare database is used to construct labels of the data samples suitable for machine learning. We further extend the deterministic approach to a calibration-based probabilistic forecasting method. The SolarFlareNet system is fully operational and is capable of making near real-time predictions of solar flares on the Web.
    Language English
    Publishing date 2023-08-22
    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/s41598-023-40884-1
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  9. Article ; Online: Barriers to blockchain adoption in the seaport industry: A fuzzy DEMATEL analysis.

    Guan, Peng / Wood, Lincoln C / Wang, Jason X / Duong, Linh N K

    Mathematical biosciences and engineering : MBE

    2023  Volume 20, Issue 12, Page(s) 20995–21031

    Abstract: Blockchain technology, marked as a disruptive force across various sectors, including seaport logistics, faces challenges and obstacles that impede its effective adoption. We aim to empirically identify the significant barriers impeding blockchain ... ...

    Abstract Blockchain technology, marked as a disruptive force across various sectors, including seaport logistics, faces challenges and obstacles that impede its effective adoption. We aim to empirically identify the significant barriers impeding blockchain adoption in the seaport industry and elucidate the interconnected relationships between these impediments. Utilizing the Fuzzy Decision-Making Trial and Evaluation Laboratory Analysis (Fuzzy DEMATEL) technique, we quantify the cause-and-effect relationships between various barriers to blockchain adoption. Structured interviews involving 18 experts were conducted, collecting both qualitative interview data and quantitative data. The nature of ports and the maritime industry did not seem to be accurately reflected in the literature about blockchain adoption, presenting several new findings in this study. Four primary obstacles were identified: 1) Lack of management support and commitment. 2) Issues in supply chain collaboration, communication and coordination. 3) Resistance from and lack of involvement of external stakeholders. 4) The high cost. Furthermore, cost was reaffirmed as a significant factor influencing blockchain adoption. We enhance existing literature by revealing the interdependencies among identified barriers and offers insights for policymakers and industry practitioners. We aim to foster successful blockchain integration in the seaport industry, improving its sustainability performance. During this research, it has been acknowledged by the business sector that the effective employment of business process re-engineering (BPR) and the strategic implementation of blockchain technology are crucial strategies to surmount the obstacles that have impeded the extensive integration of blockchain within port operations.
    Language English
    Publishing date 2023-12-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2265126-3
    ISSN 1551-0018 ; 1551-0018
    ISSN (online) 1551-0018
    ISSN 1551-0018
    DOI 10.3934/mbe.2023929
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Aggregation of Size-Selected Oxide Clusters Deposited onto Au(111).

    Wang, Jason / Rozycki, Matthew Toledo / Tong, Xiao / White, Michael G

    Langmuir : the ACS journal of surfaces and colloids

    2023  Volume 39, Issue 38, Page(s) 13481–13492

    Abstract: Kinetic Monte Carlo (kMC) simulations along with density functional theory (DFT) calculations were used to investigate the aggregation of size-selected ... ...

    Abstract Kinetic Monte Carlo (kMC) simulations along with density functional theory (DFT) calculations were used to investigate the aggregation of size-selected Nb
    Language English
    Publishing date 2023-09-11
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2005937-1
    ISSN 1520-5827 ; 0743-7463
    ISSN (online) 1520-5827
    ISSN 0743-7463
    DOI 10.1021/acs.langmuir.3c01220
    Database MEDical Literature Analysis and Retrieval System OnLINE

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