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Book ; Online: Deep Learning Architecture and Applications

Zhang, Xiang / Li, Xiaoxiao

2023

Keywords	Information technology industries ; Computer science ; Convolutional Neural Network (CNN) ; pooling ; deep learning ; computer vision ; image analysis ; benchmark ; lithium-ion battery ; prognostics ; long short-term memory ; ARIMA ; reinforcement learning ; generative adversarial networks ; deep-learning ; crop/weed classification ; transfer learning ; feature extraction ; natural language processing ; image-text matching ; cheapfakes ; misinformation ; transformer encoder ; RoGPT2 ; control tokens ; summarization ; text generation ; human evaluation ; tricalcium silicate ; analytical model ; ion activity ; dissolution kinetics ; deep forest ; subsurface fluid flow ; Fourier neural operator ; small-shape data ; finite element method ; convolutional neural network ; sensitivity analysis ; source code comments ; classification ; machine learning techniques ; ANN flow law ; constitutive behavior ; radial return algorithm ; numerical implementation ; VUHARD ; GrC15 ; Abaqus Explicit ; defect detection ; surface defect detection ; defect detection for X-ray images ; defect recognition ; photoacoustic imaging ; image processing ; simulation ; reconstruction ; residual echo suppression ; acoustic echo cancellation ; speech enhancement ; graph neural network ; variational autoencoder ; nearest neighbours ; acute myeloid leukemia ; risk factors ; average treatment effect ; uplift modelling ; machine learning ; benzene ; ANOVA ; Shapley values ; self-explaining neural networks ; generalised additive models ; interpretability ; Siamese networks ; synthetic data ; cyclic learning ; unsupervised learning ; data augmentation ; single cell cultivation ; bioimage analysis ; finite element simulation ; plausibility checks ; convolutional neural networks ; storm surge ; hurricane ; forecasting ; CNN ; LSTM ; physics informed neural network ; dynamic force identification ; duffing's equation ; spring mass damper system ; non-linear oscillators ; massive MIMO ; hybrid beamforming ; compressive measurement matrix ; long short-term memory network ; capsule network ; routing algorithm
Language	English
Size	1 electronic resource (406 pages)
Publisher	MDPI - Multidisciplinary Digital Publishing Institute
Publishing place	Basel
Document type	Book ; Online
Note	English
HBZ-ID	HT030645174
ISBN	9783036588315 ; 3036588310
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article: Recognition Characteristics of Facial and Bodily Expressions: Evidence From ERPs.

Li, Xiaoxiao

Frontiers in psychology

2021 Volume 12, Page(s) 680959

Abstract: In the natural environment, facial and bodily expressions influence each other. Previous research has shown that bodily expressions significantly influence the perception of facial expressions. However, little is known about the cognitive processing of ... ...

Abstract	In the natural environment, facial and bodily expressions influence each other. Previous research has shown that bodily expressions significantly influence the perception of facial expressions. However, little is known about the cognitive processing of facial and bodily emotional expressions and its temporal characteristics. Therefore, this study presented facial and bodily expressions, both separately and together, to examine the electrophysiological mechanism of emotional recognition using event-related potential (ERP). Participants assessed the emotions of facial and bodily expressions that varied by valence (positive/negative) and consistency (matching/non-matching emotions). The results showed that bodily expressions induced a more positive P1 component and a shortened latency, whereas facial expressions triggered a more negative N170 and prolonged latency. Among N2 and P3, N2 was more sensitive to inconsistent emotional information and P3 was more sensitive to consistent emotional information. The cognitive processing of facial and bodily expressions had distinctive integrating features, with the interaction occurring in the early stage (N170). The results of the study highlight the importance of facial and bodily expressions in the cognitive processing of emotion recognition.
Language	English
Publishing date	2021-07-05
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2021.680959
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.

Jin, Ruinan / Li, Xiaoxiao

Medical image analysis

2023 Volume 90, Page(s) 102965

Abstract: Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Training generative adversarial neural networks (GANs) usually require large ... ...

Abstract	Deep Learning-based image synthesis techniques have been applied in healthcare research for generating medical images to support open research and augment medical datasets. Training generative adversarial neural networks (GANs) usually require large amounts of training data. Federated learning (FL) provides a way of training a central model using distributed data while keeping raw data locally. However, given that the FL server cannot access the raw data, it is vulnerable to backdoor attacks, an adversarial by poisoning training data. Most backdoor attack strategies focus on classification models and centralized domains. It is still an open question if the existing backdoor attacks can affect GAN training and, if so, how to defend against the attack in the FL setting. In this work, we investigate the overlooked issue of backdoor attacks in federated GANs (FedGANs). The success of this attack is subsequently determined to be the result of some local discriminators overfitting the poisoned data and corrupting the local GAN equilibrium, which then further contaminates other clients when averaging the generator's parameters and yields high generator loss. Therefore, we proposed FedDetect, an efficient and effective way of defending against the backdoor attack in the FL setting, which allows the server to detect the client's adversarial behavior based on their losses and block the malicious clients. Our extensive experiments on two medical datasets with different modalities demonstrate the backdoor attack on FedGANs can result in synthetic images with low fidelity. After detecting and suppressing the detected malicious clients using the proposed defense strategy, we show that FedGANs can synthesize high-quality medical datasets (with labels) for data augmentation to improve classification models' performance.
MeSH term(s)	Humans ; Neural Networks, Computer ; Image Processing, Computer-Assisted ; Diagnostic Imaging
Language	English
Publishing date	2023-09-22
Publishing country	Netherlands
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1356436-5
ISSN	1361-8423 ; 1361-8431 ; 1361-8415
ISSN (online)	1361-8423 ; 1361-8431
ISSN	1361-8415
DOI	10.1016/j.media.2023.102965
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 5206: Show issues

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Article ; Online: Genetic and epigenetic basis of phytohormones control of floral transition in plants.

Li, Xiaoxiao / Lin, Chuyu / Lan, Chenghao / Tao, Zeng

Journal of experimental botany

2024

Abstract: The timing of the developmental transition from the vegetative to the reproductive stages is critical for angiosperm and fine-tuned by the integration of endogenous factors and external environmental cues to ensure proper and successful reproduction. ... ...

Abstract	The timing of the developmental transition from the vegetative to the reproductive stages is critical for angiosperm and fine-tuned by the integration of endogenous factors and external environmental cues to ensure proper and successful reproduction. Plants have evolved sophisticated mechanisms to response to diverse environmental or stress signals, which may be mediated by plant hormones which coordinate their flowering time. Endogenous and exogenous phytohormones such as gibberellin (GA), auxin, cytokinin (CK), jasmonate (JA), abscisic acid (ABA), ethylene (ET), brassinosteroids (BR) and the cross-talk among them are critical for the precise regulating of flowering time. Recent studies on the model flowering plant Arabidopsis thaliana revealed that diverse transcription factors and epigenetic regulators play key roles in the phytohormones that regulate floral transition. This review aims to summarize current knowledge on the genetic and epigenetic mechanisms that underlying the phytohormone control of floral transition in Arabidopsis, offering insights into how these processes are regulated and their implications for plant biology.
Language	English
Publishing date	2024-03-08
Publishing country	England
Document type	Journal Article
ZDB-ID	2976-2
ISSN	1460-2431 ; 0022-0957
ISSN (online)	1460-2431
ISSN	0022-0957
DOI	10.1093/jxb/erae105
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Article ; Online: Progress in cyclodextrins as important molecules regulating catalytic processes of glycoside hydrolases.

Li, Xiaoxiao / Jin, Zhengyu / Bai, Yuxiang / Svensson, Birte

Biotechnology advances

2024 Volume 72, Page(s) 108326

Abstract: Cyclodextrins (CDs) are important starch derivatives and commonly comprise α-, β-, and γ-CDs. Their hydrophilic surface and hydrophobic inner cavity enable regulation of enzyme catalysis through direct or indirect interactions. Clarifying interactions ... ...

Abstract	Cyclodextrins (CDs) are important starch derivatives and commonly comprise α-, β-, and γ-CDs. Their hydrophilic surface and hydrophobic inner cavity enable regulation of enzyme catalysis through direct or indirect interactions. Clarifying interactions between CDs and enzyme is of great value for enzyme screening, mechanism exploration, regulation of catalysis, and applications. We summarize the interactions between CDs and glycoside hydrolases (GHs) according to two aspects: 1) CD as products, substrates, inhibitors and activators of enzymes, directly affecting the reaction process; 2) CDs indirectly affecting the enzymatic reaction by solubilizing substrates, relieving substrate/product inhibition, increasing recombinant enzyme production and storage stability, isolating and purifying enzymes, and serving as ligands in crystal structure to identify functional amino acid residues. Additionally, CD enzyme mimetics are developed and used as catalysts in traditional artificial enzymes as well as nanozymes, making the application of CDs no longer limited to GHs. This review concerns the regulation of GHs catalysis by CDs, and gives insights into research on interactions between enzymes and ligands.
MeSH term(s)	Cyclodextrins/chemistry ; Cyclodextrins/metabolism ; Glycoside Hydrolases/metabolism ; Starch/chemistry ; Catalysis
Chemical Substances	Cyclodextrins ; Glycoside Hydrolases (EC 3.2.1.-) ; Starch (9005-25-8)
Language	English
Publishing date	2024-02-19
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	47165-3
ISSN	1873-1899 ; 0734-9750
ISSN (online)	1873-1899
ISSN	0734-9750
DOI	10.1016/j.biotechadv.2024.108326
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 3730: Show issues

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Article: Clinical Influence of Nursing Intervention Under FOCUS-Plan-Do-Check-Act Cycle Management Model on Preventing and Controlling Central Line-associated Bloodstream Infections in Patients in ICU.

Zhang, Amin / Gong, Yanxia / Li, Xiaoxiao / Zhu, Kali

Alternative therapies in health and medicine

2024

Abstract: Background: Central venous catheterization is an invasive procedure that may lead to central line-associated bloodstream infection, affecting the patient's prognosis and recovery. Thus, it is essential to master the right interventions for the ... ...

Abstract	Background: Central venous catheterization is an invasive procedure that may lead to central line-associated bloodstream infection, affecting the patient's prognosis and recovery. Thus, it is essential to master the right interventions for the prevention and control of central line-associated bloodstream infections. FOCUS-Plan-Do-Check-Act (PDCA) cycle management model, also known as Deming circle management model, is a programmed and scientific management method. Objective: We attempted to clarify the impact of nursing intervention on preventing and controlling central line-associated bloodstream infection under the FOCUS- PDCA cycle management model, in order to effectively deplete central line-associated bloodstream infection in each intensive care unit, facilitate early recovery of patients. Design: Our study retrospectively analyzed the clinical data of intensive care unit patients before and after implementation of nursing intervention under the FOCUS-PDCA cycle management model. This study was a retrospective study. Setting: This study was performed in the Department of Infection Management, Taihe County People's Hospital. Participants: A total of 214 intensive care unit patients with indwelling central venous catheters before implementation of nursing intervention under the FOCUS-PDCA cycle management model in our hospital in 2021 were selected as the control group. A total of 220 ICU patients with indwelling CVC after nursing intervention under the FOCUS-PDCA cycle management model in 2022 were included in the experimental group. All patients met the inclusion criteria of patients with CVC puncture catheterization for ≥ 2 days. Interventions: The control group underwent conventional nursing, including (1) nurses observing aseptic technique; (2) nurses regularly inspected and replaced dressings; (3) nurses timely handled abnormal situations at the puncture site; (4) nurses provided relevant education and psychological counseling to patients and their families. The experimental group adopted nursing intervention under the FOCUS-PDCA cycle management model on the basis of that of the control group. Primary outcome measures: (1) central venous catheterization puncture status (2) central venous catheterization application status (3) central line-associated bloodstream infection status, and (4) hospitalization status. Results: The one-time success rate of puncture and success rate of puncture in the experimental group exhibited elevation relative to those in the control group (P < .05). The central venous catheterization application rate in the experimental group exhibited depletion relative to that in the control group (P < .05). The daily infection rate of CLABSI in the experimental group exhibited depletion relative to that in the control group, but without statistical significance (P > .05), indicating that nursing intervention under the FOCUS-PDCA cycle management model had no obvious inhibitory effect on the daily infection rate of CLABSI. The time of central line-associated bloodstream infection occurrence in the experimental group was later than that in the control group (P < .05). The hospitalization time and hospitalization expenses in the experimental group exhibited depletion relative to those in the control group (P < .05). Conclusion: Nursing intervention under the FOCUS-PDCA cycle management model can effectively deplete central line-associated bloodstream infection in each intensive care unit, facilitate early recovery of patients, and shorten hospital stay, which is worthy of promotion. Our study provide a clinical nursing reference for the preventing and controlling central line-associated bloodstream infections in patients in each intensive care unit.
Language	English
Publishing date	2024-04-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4504: Show issues

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ab Jg. 2022: Lesesaal (EG)

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Article ; Online: Evolutionary Dynamics-Driven Learning of Optimal Decisions for Nonlinear System: Extend-Policy Iterative Algorithm.

Tan, Zilong / Sun, Jiayue / Zhao, Zhenjin / Li, Xiaoxiao / Zou, Zifang

IEEE transactions on cybernetics

2024 Volume PP

Abstract: An extend-policy iterative algorithm is proposed for solving the ecological evolving-lung cancer cells growth inhibition optimal drug delivery scheme. With the analysis of the cell proliferation-apoptosis process of lung cancer cells with primitive ... ...

Abstract	An extend-policy iterative algorithm is proposed for solving the ecological evolving-lung cancer cells growth inhibition optimal drug delivery scheme. With the analysis of the cell proliferation-apoptosis process of lung cancer cells with primitive immune system and external drug interventions, such as chemotherapeutic drugs and immunological agents, a model of ecological containment of lung cancer cells mimicking injection labeling is constructed. The HJB equation for biological tissue damage has also been established by considering the concentration of lung cancer cells in the blood and the amount of drug administered. The final simulation experiment proved the effectiveness of the drug delivery scheme.
Language	English
Publishing date	2024-04-03
Publishing country	United States
Document type	Journal Article
ISSN	2168-2275
ISSN (online)	2168-2275
DOI	10.1109/TCYB.2024.3378390
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The influence of Chinese culture and customs on the beliefs and health-related behaviours of Chinese women with gestational diabetes mellitus: A qualitative study.

Luo, Xiuwen / Pan, Jie / Jiang, Cailing / Li, Xiaoxiao / Li, Peiling

International journal of nursing practice

2024 Volume 30, Issue 1, Page(s) e13234

Abstract: Objective: The study aimed to explore the influence of Chinese culture and customs on the beliefs and health-related behaviours of Chinese women with gestational diabetes mellitus (GDM).: Methods: This descriptive qualitative study conducted semi- ... ...

Abstract	Objective: The study aimed to explore the influence of Chinese culture and customs on the beliefs and health-related behaviours of Chinese women with gestational diabetes mellitus (GDM). Methods: This descriptive qualitative study conducted semi-structured interviews with 15 Chinese women between November 2022 and January 2023. The interview data were analysed using thematic analysis. Results: Three major themes are found: (1) beliefs in health, (2) beliefs in illness and GDM and (3) beliefs in health-related behaviours. They worried about the negative effects of GDM on the infant and family, so they actively sought medical advice to maintain health. However, it is challenging for them to balance adhering to healthcare professionals' advice and avoiding practical difficulties in the impact of the Chinese sociocultural context. Conclusion: This study emphasizes the influence of Chinese culture and customs on the beliefs and health-related behaviours of women with GDM. Healthcare providers should recognize the influence of Chinese culture, customs and beliefs on women with GDM and their families, in order to provide individualized education to help them maintain health-related behaviours.
MeSH term(s)	Pregnancy ; Female ; Humans ; Diabetes, Gestational ; Health Behavior ; Qualitative Research ; China
Language	English
Publishing date	2024-01-25
Publishing country	Australia
Document type	Journal Article
ZDB-ID	1381116-2
ISSN	1440-172X ; 1322-7114
ISSN (online)	1440-172X
ISSN	1322-7114
DOI	10.1111/ijn.13234
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Zs.A 4740: Show issues

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Article ; Online: Serum copeptin in women with gestational diabetes mellitus: A meta-analysis.

He, Yuanqi / Li, Xue / Li, Xiaoxiao / Cui, Weiwei / Zhang, Shihong

Biomolecules & biomedicine

2024

Abstract: To address inconsistencies in prior research, this meta-analysis examines the potential link between serum copeptin levels and the risk of developing gestational diabetes mellitus (GDM). Previous studies have reported mixed results regarding the ... ...

Abstract	To address inconsistencies in prior research, this meta-analysis examines the potential link between serum copeptin levels and the risk of developing gestational diabetes mellitus (GDM). Previous studies have reported mixed results regarding the relationship between serum copeptin levels and GDM risk. Our objective was to comprehensively evaluate this association. We systematically reviewed observational studies from Medline, Web of Science, Embase, Wanfang, and Chinese National Knowledge Infrastructure (CNKI) databases up to October 15, 2023, employing a random-effects model to integrate the data while considering heterogeneity. This analysis incorporated 10 studies comprising 625 women with GDM and 1212 healthy pregnant controls. Our findings showed no significant difference in serum copeptin levels between women with GDM and those without (standardized mean difference [SMD] 0.01, 95% confidence interval [CI] -0.22 to 0.24, P = 0.92, I2 = 75%). Univariate meta-analysis indicated a positive correlation between the body mass index (BMI) of the participants and the outcomes (coefficient = 0.11, P = 0.002). Further subgroup analysis demonstrated that women with a mean BMI ≥ 26 kg/m2 and GDM had significantly higher serum copeptin levels compared to their non-GDM counterparts (SMD 0.31, 95% CI 0.05 to 0.57, P = 0.02, I2 = 46%). Conversely, no difference was observed in women with a BMI < 26 kg/m2 (SMD -0.23, 95% CI -0.37 to -0.09, P = 0.002, I2 = 0%, P for subgroup difference = 0.003). Variables such as the country of study, maternal age, timing of blood sampling, copeptin measurement methods, or GDM diagnostic criteria did not significantly affect the results. In summary, the association between serum copeptin levels and GDM risk is influenced by the BMI of pregnant women, indicating that elevated serum copeptin might be linked to GDM in individuals with a BMI ≥ 26 kg/m2.
Language	English
Publishing date	2024-03-07
Publishing country	Bosnia and Herzegovina
Document type	Meta-Analysis
ISSN	2831-090X
ISSN (online)	2831-090X
DOI	10.17305/bb.2023.10114
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Nitrogen and oxygen isotope characteristics, formation mechanism, and source apportionment of nitrate aerosols in Wuhan, Central China.

Deng, Mengjie / Wang, Cimou / Yang, Chunmian / Li, Xiaoxiao / Cheng, Hairong

The Science of the total environment

2024 Volume 921, Page(s) 170715

Abstract: Understanding the sources and formation mechanisms of nitrate in ... ...

Abstract	Understanding the sources and formation mechanisms of nitrate in PM
Language	English
Publishing date	2024-02-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2024.170715
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