LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 10628

Search options

  1. Book ; Online: Advanced Artificial Intelligence Models and Its Applications

    Zhou, Tao

    2023  

    Keywords Research & information: general ; Mathematics & science ; target features ; siamese trackers ; lightweight network ; target tracking ; chaotic system ; fruit fly optimization algorithm ; quantum-inspired computation ; parameter estimation ; neural network ; binary hash code ; image retrieval ; remote sensing ; writer recognition ; self-supervised learning ; embeddings ; dimension reduction ; clustering ; twin network ; Big Five personality test ; artificial intelligence ; human resources ; employee selection ; teamwork ; machine learning ; automatic music generation ; generative pre-training ; embedding ; representation learning ; logistics management ; artificial immune systems ; vehicle routing problem ; cross-docking ; automotive ; condition monitoring ; predictive maintenance ; deep learning ; class-imbalance learning ; feature clustering ; long-tailed classification ; classwise splitting ; SQL injection attacks ; recurrent neural network (RNN) autoencoder ; ANN ; CNN ; decision tree ; naive Bayes ; SVM ; random forest ; logistic regression
    Language English
    Size 1 electronic resource (182 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030649733
    ISBN 9783036591339 ; 3036591338
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Book ; Online: Promising Detoxification Strategies to Mitigate Mycotoxins in Food and Feed

    Zhou, Ting

    2018  

    Abstract: This book is a printed edition of the Special Issue Promising Detoxification Strategies to Mitigate Mycotoxins in Food and Feed that was published in ... ...

    Abstract This book is a printed edition of the Special Issue Promising Detoxification Strategies to Mitigate Mycotoxins in Food and Feed that was published in Toxins
    Keywords Medicine (General) ; Toxicology. Poisons
    Size 1 electronic resource (306 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Document type Book ; Online
    Note eng ; Open Access
    HBZ-ID HT020307449
    ISBN 9783038970286 ; 9783038970279 ; 303897028X ; 3038970271
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Article: The role of pre-service physical education teachers in physical education - A bibliometric and systematic review.

    Zhou, Tong

    Heliyon

    2024  Volume 10, Issue 7, Page(s) e28702

    Abstract: Pre-service physical education teachers (PSPTs) have long been an important area of specific development in physical education and have become a significant force in the field of physical education and research over the past two decades. However, ... ...

    Abstract Pre-service physical education teachers (PSPTs) have long been an important area of specific development in physical education and have become a significant force in the field of physical education and research over the past two decades. However, exploratory research on pre-service teachers remains relatively scarce, and lack a comprehensive scientific exploration of the scope of their role. Therefore, this study provides a comprehensive overview of pre-service physical education teacher education (PETE) from both a broad and specific perspective. Specifically, it includes the current state of PETE, the most influential authors, countries, journals, and literature, as well as specific research topics and future directions within PETE. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, a total of 340 articles were included, with 84 of them being empirical studies. The findings reveal that teacher training, diversity, equity, and inclusion in education, educational attitudes and beliefs, educational quality, educational methods and technology, career motivation, teaching models and strategies, and teacher assessment and reflection are major research themes. Visual analysis of the application of pre-service physical education teacher research highlights teacher training, diversity, equity, and inclusion in education, as well as instructional technology, as key areas of future focus. These insights contribute to the reasonable application of bibliometrics in the field of pre-service physical education teacher research.
    Language English
    Publishing date 2024-03-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2024.e28702
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  4. Article: A case of splenogonadal fusion in the left testis.

    Zhou, Ting

    Clinical case reports

    2023  Volume 11, Issue 6, Page(s) e7264

    Abstract: Splenic tissue outside the normal anatomical site can be collectively referred to as ectopic spleen. Clinically, the commonest causes of ectopic spleen include accessory spleen, splenic tissue implantation, and splenogonadal fusion (SGF). Accessory ... ...

    Abstract Splenic tissue outside the normal anatomical site can be collectively referred to as ectopic spleen. Clinically, the commonest causes of ectopic spleen include accessory spleen, splenic tissue implantation, and splenogonadal fusion (SGF). Accessory spleen is mostly caused by congenital dysplasia, is mostly located near the spleen, and may be supplied by the splenic artery. Splenic implantation is mostly caused by autologous spleen tissue transplantation caused by trauma or surgery. SGF is the abnormal fusion of the spleen with the gonad or with the mesonephric derivatives. As a rare developmental malformation, it is difficult to make a correct diagnosis preoperatively, and easily misdiagnosed as a testicular tumor cause lifelong harm to patients. An 18-year-old male student who developed left testicular pain without obvious cause that radiated to the perineum 4 months prior to presentation. He was diagnosed with cryptorchidism 12 years ago and underwent orchiopexy without intraoperative frozen section examination. An ultrasound was performed, identifying hypoechoic nodules in the left testis, suggestive of seminoma. During surgery, the testicular tumor revealed a dark red tissue and the diagnosis of a pathological ectopic splenic tissue was made. Because the clinical manifestations of SGF are not specific, misdiagnosis and unnecessary orchiectomy may occur. If a complete preoperative examination which includes biopsy or intraoperative frozen section is performed, unnecessary orchiectomy can be effectively avoided and bilateral fertility can be preserved.
    Language English
    Publishing date 2023-06-08
    Publishing country England
    Document type Case Reports
    ZDB-ID 2740234-4
    ISSN 2050-0904
    ISSN 2050-0904
    DOI 10.1002/ccr3.7264
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  5. Article ; Online: Estimation of placebo effect in randomized placebo-controlled trials for moderate or severe vasomotor symptoms: a meta-analysis.

    Zhou, Tianyu

    Menopause (New York, N.Y.)

    2022  Volume 30, Issue 1, Page(s) 5–10

    Abstract: Objective: The Food and Drug Administration guidance recommended that for the indication of vasomotor symptoms (VMS), studies should enroll participants with minimum of seven to eight moderate to severe VMS per day at baseline, and coprimary endpoints ... ...

    Abstract Objective: The Food and Drug Administration guidance recommended that for the indication of vasomotor symptoms (VMS), studies should enroll participants with minimum of seven to eight moderate to severe VMS per day at baseline, and coprimary endpoints should be the mean change in frequency/severity at weeks 4 and 12. This study aimed to estimate placebo effects in randomized controlled trials (RCTs) fulfilling this guidance.
    Methods: PubMed was searched using the following terms: "vasomotor symptom or hot flash or hot flashes or hot flash or hot flashes [title/abstract]," "menopause or climacteric," "RCT or randomized controlled or randomized controlled," "placebo [title/abstract]," and "frequency or severity." Inclusion criteria were as follows: (1) placebo controlled RCTs, (2) enrolling women with moderate or severe VMS with a minimal frequency more than seven to eight times per day or 50 times per week, and (3) efficacy measurements including mean change in VMS frequency from baseline at week 12. A random-effects model was used in the meta-analysis.
    Results: Seventeen studies were included for the estimation of VMS frequency reduction and 13 studies for severity. Estimated change of VMS frequency in placebo arms was -5.44 times per day (95% CI, -5.81 to -5.07 times per day) at week 12. For VMS severity, the estimated change at week 12 was -0.36 (95% CI, -0.46 to -0.27).
    Conclusion: Substantial and consistent placebo effects were observed in RCTs for VMS treatment. These data suggest a reduction of 5.44 times per day in frequency and 0.36 in severity might be observed as a placebo effect.
    MeSH term(s) Female ; Humans ; Hot Flashes/drug therapy ; Treatment Outcome ; Menopause ; Double-Blind Method ; Randomized Controlled Trials as Topic
    Language English
    Publishing date 2022-11-01
    Publishing country United States
    Document type Meta-Analysis ; Journal Article
    ZDB-ID 1205262-0
    ISSN 1530-0374 ; 1072-3714
    ISSN (online) 1530-0374
    ISSN 1072-3714
    DOI 10.1097/GME.0000000000002094
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 4111: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (2.OG)
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: A Linear Regression Prediction Model of Infectious Disease Spread Based on Baidu Migration and Effective Distance.

    Zhou, Tianqi

    Computational and mathematical methods in medicine

    2022  Volume 2022, Page(s) 9554057

    Abstract: Objective: To analyze the relationship between effective distance and epidemic spread trajectory and between arrival time and scale based on the COVID-19 data outbreak in Wuhan and thus to improve the prediction ability of the spread of infectious ... ...

    Abstract Objective: To analyze the relationship between effective distance and epidemic spread trajectory and between arrival time and scale based on the COVID-19 data outbreak in Wuhan and thus to improve the prediction ability of the spread of infectious disease.
    Methods: Up to January 28, 2020, the reporting date, the onset date, and the cumulative number of confirmed cases of COVID-19 in each province and city were collected. Baidu migration data was used to calculate the effective distance from Wuhan city to other regions. The reporting date and onset date of the first diagnosed patient were taken as the arrival time, respectively, to establish a linear regression model of effective distance and arrival time. In different provinces and cities, the logarithm of the cumulative number of confirmed cases with a base of 5 was taken as the criteria to determine the level of the cumulative confirmed cases. Based on this, the linear regression model of effective distance and the level of cumulative confirmed cases in the provincial and municipal units was established.
    Results: The linear correlation between the reporting date of the first confirmed patient and the effective distance was not strong. The coefficients of determination (
    Conclusion: The effective distance has a good fit with the model of the onset date of the first confirmed patient and the level of cumulative confirmed cases, which can predict the trajectory, time, and transmission range of the epidemic. It can be taken as the reference for the early warning, prevention, and control of sudden acute infectious diseases from a macro perspective.
    MeSH term(s) COVID-19/epidemiology ; China/epidemiology ; Cities/epidemiology ; Communicable Diseases/epidemiology ; Epidemics ; Humans ; Linear Models ; SARS-CoV-2
    Language English
    Publishing date 2022-06-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2252430-7
    ISSN 1748-6718 ; 1748-670X ; 1027-3662
    ISSN (online) 1748-6718
    ISSN 1748-670X ; 1027-3662
    DOI 10.1155/2022/9554057
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Zs.A 6373: Show issues Location:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular
    ab Jg. 2022: Lesesaal (EG)

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Book ; Online: Multi-granulariy Time-based Transformer for Knowledge Tracing

    Zhou, Tong

    2023  

    Abstract: In this paper, we present a transformer architecture for predicting student performance on standardized tests. Specifically, we leverage students historical data, including their past test scores, study habits, and other relevant information, to create a ...

    Abstract In this paper, we present a transformer architecture for predicting student performance on standardized tests. Specifically, we leverage students historical data, including their past test scores, study habits, and other relevant information, to create a personalized model for each student. We then use these models to predict their future performance on a given test. Applying this model to the RIIID dataset, we demonstrate that using multiple granularities for temporal features as the decoder input significantly improve model performance. Our results also show the effectiveness of our approach, with substantial improvements over the LightGBM method. Our work contributes to the growing field of AI in education, providing a scalable and accurate tool for predicting student outcomes.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Publishing date 2023-04-11
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  8. Book ; Online: Nonparametric Identification and Estimation of Earnings Dynamics using a Hidden Markov Model

    Zhou, Tong

    Evidence from the PSID

    2023  

    Abstract: This paper presents a hidden Markov model designed to investigate the complex nature of earnings persistence. The proposed model assumes that the residuals of log-earnings consist of a persistent component and a transitory component, both following ... ...

    Abstract This paper presents a hidden Markov model designed to investigate the complex nature of earnings persistence. The proposed model assumes that the residuals of log-earnings consist of a persistent component and a transitory component, both following general Markov processes. Nonparametric identification is achieved through spectral decomposition of linear operators, and a modified stochastic EM algorithm is introduced for model estimation. Applying the framework to the Panel Study of Income Dynamics (PSID) dataset, we find that the earnings process displays nonlinear persistence, conditional skewness, and conditional kurtosis. Additionally, the transitory component is found to possess non-Gaussian properties, resulting in a significantly asymmetric distributional impact when high-earning households face negative shocks or low-earning households encounter positive shocks. Our empirical findings also reveal the presence of ARCH effects in earnings at horizons ranging from 2 to 8 years, further highlighting the complex dynamics of earnings persistence.
    Keywords Statistics - Applications ; Computer Science - Artificial Intelligence
    Subject code 310
    Publishing date 2023-05-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  9. Book ; Online: Improved Sales Forecasting using Trend and Seasonality Decomposition with LightGBM

    Zhou, Tong

    2023  

    Abstract: Retail sales forecasting presents a significant challenge for large retailers such as Walmart and Amazon, due to the vast assortment of products, geographical location heterogeneity, seasonality, and external factors including weather, local economic ... ...

    Abstract Retail sales forecasting presents a significant challenge for large retailers such as Walmart and Amazon, due to the vast assortment of products, geographical location heterogeneity, seasonality, and external factors including weather, local economic conditions, and geopolitical events. Various methods have been employed to tackle this challenge, including traditional time series models, machine learning models, and neural network mechanisms, but the difficulty persists. Categorizing data into relevant groups has been shown to improve sales forecast accuracy as time series from different categories may exhibit distinct patterns. In this paper, we propose a new measure to indicate the unique impacts of the trend and seasonality components on a time series and suggest grouping time series based on this measure. We apply this approach to Walmart sales data from 01/29/2011 to 05/22/2016 and generate sales forecasts from 05/23/2016 to 06/19/2016. Our experiments show that the proposed strategy can achieve improved accuracy. Furthermore, we present a robust pipeline for conducting retail sales forecasting.
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence
    Subject code 330
    Publishing date 2023-05-26
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

    More links

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  10. Book ; Thesis: Biliäre Stenosen als inflammatorischer Prozess: eine immunologische Charakterisierung in Gallen

    Zhou, Taotao / Gotthardt, Daniel

    2021  

    Institution Universität Heidelberg
    Author's details vorgelegt von Taotao Zhu ; Doktorvater: Herr Prof. (apl.) Dr. med. Daniel Gotthardt
    Language German
    Size 81 Blätter, Illustrationen, Diagramme
    Publishing place Heidelberg
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Dissertation, Ruprecht-Karls-Universität Heidelberg, 2022
    HBZ-ID HT021767534
    Database Catalogue ZB MED Medicine, Health

    Kategorien

    In stock of ZB MED Cologne/Königswinter

    Shelf markLoan statusLocation
    2023 E 491 order for loan Magazin

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

To top