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Article ; Online: Hemophagocytic lymphohistiocytosis in a neonate with neck skin abscess and thrombocytopenia.

Huang, Xiaoyang / Zhou, Min / Yang, Junli / Li, Wen

2024

Language	English
Publishing date	2024-02-03
Publishing country	Singapore
Document type	Letter
ZDB-ID	2441816-X
ISSN	2212-1692 ; 1875-9572
ISSN (online)	2212-1692
ISSN	1875-9572
DOI	10.1016/j.pedneo.2023.09.014
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Article ; Online: Effect of low concentration of sodium fluoride on osteogenic/odontogenic differentiation of human dental pulp cells

LI Lifen / HAN Junli / JIANG Long

口腔疾病防治, Vol 32, Iss 1, Pp 22-

2024 Volume 28

Abstract: Objective To study the effect of low concentrations of sodium fluoride on the osteogenic/odontogenic differentiation of human dental pulp cells (hDPCs) in vitro. Methods This study was reviewed and approved by the Ethics Committee. hDPCs were cultured ... ...

Abstract	Objective To study the effect of low concentrations of sodium fluoride on the osteogenic/odontogenic differentiation of human dental pulp cells (hDPCs) in vitro. Methods This study was reviewed and approved by the Ethics Committee. hDPCs were cultured using a modified tissue explant technique in vitro. The effects of different concentrations of sodium fluoride on the proliferation of hDPCs were measured by methylthiazol tetrazolium (MTT) assay. Appropriate concentrations were added to the osteogenic/odontogenic differentiation induction medium, and the cells were induced in vitro. Alizarin red S staining was used to detect the osteoblastic/odontogenic differentiation ability of the cells, and the mRNA expression of the key differentiation factors was detected by RT-qPCR. Moreover, the expression of key molecules of endoplasmic reticulum stress (ERS) was detected by RT-qPCR and Western blot. The data were analyzed with the SPSS 18.0 software package. Results Low concentration of NaF (0.1 mmol/L) could stimulate cell proliferation in vitro, while a high concentration (5-10 mmol/L) could inhibit cell proliferation (P<0.05). According to the literature and the experimental data, 0.1 mmol/L NaF was selected as the following experimental concentration. The levels of alizarin red S staining were increased after NaF induction of mixed osteogenic/odontogenic differentiation in vitro. The mRNA expression levels of key molecules for osteogenic/odontogenic differentiation, dentin sialophosphoprotein (DSPP), bone sialoprotein (BSP) and osteocalcin (OCN), were increased (P<0.05). The mRNA levels of ERS markers (splicing x-box binding protein-1 (sXBP1), glucose-regulated protein 78 (GRP78) and activating transcription Factor 4 (ATF4) were increased in NaF-treated cells. The protein expression levels of key ER stress molecules (phosphorylated RNA-activated protein kinase-like ER-resident kinase (p-PERK), phosphorylated eukaryotic initiation factor-2α (p-eIF2α) and ATF4) were higher in NaF-treated cells. Conclusion A low ...
Keywords	human dental pulp cell ; sodium fluoride ; proliferation ; osteogenic/odontogenic differentiation ; endoplasmic reticulum stress ; splicing xbox binding protein 1 ; activating transcription factor 4 ; glucose-regulated protein 78 ; rna-activated protein kinase-like er-resident kinase ; eukaryotic initiation factor-2α ; Medicine ; R
Language	Chinese
Publishing date	2024-01-01T00:00:00Z
Publisher	Editorial Department of Journal of Prevention and Treatment for Stomatological Diseases
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Highly selective separation of tetravalent plutonium from complex system with novel phenylpyridine diamide ligands.

Yao, Liu / Junli, Wang / Yuhang, Le / Hui, Wang / Wentao, Wang / Baole, Li / Taihong, Yan

RSC advances

2024 Volume 14, Issue 1, Page(s) 560–567

Abstract: In this study, three phenylpyridine diamide ligands, namely, 2,2'-((pyridine-2,6-diylbis(3,1-phenylene))bis(oxy))bis( ...

Abstract	In this study, three phenylpyridine diamide ligands, namely, 2,2'-((pyridine-2,6-diylbis(3,1-phenylene))bis(oxy))bis(
Language	English
Publishing date	2024-01-02
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d3ra07418h
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Article ; Online: Chronic obstructive pulmonary disease and the airway microbiome: A review for clinicians.

Luo, Lingxin / Tang, Junli / Du, Xianzhi / Li, Na

Respiratory medicine

2024 Volume 225, Page(s) 107586

Abstract: Chronic obstructive pulmonary disease (COPD) is a complex heterogeneous disease characterized by progressive airflow limitation and chronic inflammation. The progressive development and long-term repeated acute exacerbation of COPD make many patients ... ...

Abstract	Chronic obstructive pulmonary disease (COPD) is a complex heterogeneous disease characterized by progressive airflow limitation and chronic inflammation. The progressive development and long-term repeated acute exacerbation of COPD make many patients still unable to control the deterioration of the disease after active treatment, and even eventually lead to death. An increasing number of studies have shown that the occurrence and development of COPD are closely related to the composition and changes of airway microbiome. This article reviews the interaction between COPD and airway microbiome, the potential mechanisms of interaction, and the treatment methods related to microbiome. We elaborated the internal correlation between airway microbiome and different stages of COPD, inflammatory endotypes, glucocorticoid and antibiotic treatment, analyze the pathophysiological mechanisms such as the "vicious cycle" hypothesis, abnormal inflammation-immune response of the host and the "natural selection" of COPD to airway microbiome, introduce the treatment of COPD related to microbiome and emphasize the predictive value of airway microbiome for the progression, exacerbation and prognosis of COPD, as well as the guiding role for clinical management of patients, in order to provide a new perspective for exploring the pathogenesis of COPD, and also provide clues and guidance for finding new treatment targets.
MeSH term(s)	Humans ; Pulmonary Disease, Chronic Obstructive ; Lung ; Inflammation ; Prognosis ; Microbiota ; Disease Progression
Language	English
Publishing date	2024-03-07
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	1003348-8
ISSN	1532-3064 ; 0954-6111
ISSN (online)	1532-3064
ISSN	0954-6111
DOI	10.1016/j.rmed.2024.107586
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Article ; Online: Association between allostatic load and depression in patients with sleep disorders: Evidence from national health and nutrition examination survey.

Li, Yiru / Yan, Junli / Li, Yuhong

International journal of psychiatry in medicine

2024 , Page(s) 912174241244479

Abstract: Objective: Allostatic load (AL) is an indicator of cumulative wear and tear on the body's physiological systems that can predict the onset of a range of health problems. However, the relationship between AL and depression in patients with sleep ... ...

Abstract	Objective: Allostatic load (AL) is an indicator of cumulative wear and tear on the body's physiological systems that can predict the onset of a range of health problems. However, the relationship between AL and depression in patients with sleep disorders remains unclear. This study aimed to explore the association between AL and depression in patients with sleep disorders. Methods: Using data from the 2015-2016 National Health and Nutrition Examination Survey, a total of 4618 adults aged 18 years and older in the United States were included in this cross-sectional analysis. AL was calculated using nine biological markers, with a score of ≥3 indicating a high level. Depression was assessed using the Patient Health Questionnaire-9, and a score of 10 or higher indicated a potential risk of depression. Logistic regression models were employed to analyze the relationship between AL and depression. Results: Among the 1309 participants diagnosed with sleep disorders, 212 (16.2%) were identified as being at risk of depression. A total of 55.2% (n = 117) of the depressed persons had high AL levels. In the unadjusted model, AL levels were associated with depression in those with sleep disorders ( Conclusion: The findings showed that high AL levels in patients with sleep disorders were positively associated with depression, indicating that elevated AL may increase the risk of depression in this population, or alternatively, depression may increase the risk of AL.
Language	English
Publishing date	2024-04-01
Publishing country	United States
Document type	Journal Article
ZDB-ID	220669-9
ISSN	1541-3527 ; 0091-2174
ISSN (online)	1541-3527
ISSN	0091-2174
DOI	10.1177/00912174241244479
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Article ; Online: CPU-GPU-coupled acceleration method for point flux calculation in Monte Carlo particle transport.

Yanheng, Pu / Zhen, Wu / Yisheng, Hao / Shenshen, Gao / Rui, Qiu / Hui, Zhang / Junli, Li

Radiation protection dosimetry

2024 Volume 200, Issue 6, Page(s) 525–537

Abstract: In Monte Carlo particle transport simulations, point flux tallying is a variance reduction technique that performs well with small detectors and finds broad application in source-detector problems and local point dose calculations. However, its use in ... ...

Abstract	In Monte Carlo particle transport simulations, point flux tallying is a variance reduction technique that performs well with small detectors and finds broad application in source-detector problems and local point dose calculations. However, its use in large-scale point flux tallying computation adds substantial computational time. To address this issue, we propose a CPU-GPU-coupled acceleration method, which separates the complex logic and computationally intensive parts of particle transport calculation and assigns them to the CPU and GPU, respectively. This proposed method greatly enhances the efficiency of large-scale point flux tallies, providing significant convenience for subsequent dose calculations and other related steps. We validated our method by comparing the performance of a pure CPU program with our CPU-GPU accelerated program using the NUREG/CR-6115 PWR benchmark problem. The results indicate identical outcomes for photon point flux estimation, with the accelerated program being ~50 times faster.
MeSH term(s)	Monte Carlo Method ; Computer Simulation ; Algorithms ; Photons ; Software ; Radiometry/methods ; Computer Graphics ; Humans ; Radiation Dosage
Language	English
Publishing date	2024-02-12
Publishing country	England
Document type	Journal Article
ZDB-ID	225912-6
ISSN	1742-3406 ; 0144-8420
ISSN (online)	1742-3406
ISSN	0144-8420
DOI	10.1093/rpd/ncae032
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Article: The Liquid-Fermentation Formulation of

Gao, Yuhan / Li, Xiaomin / Xu, Hui / Sun, Huijuan / Zhang, Junli / Wu, Xiaoping / Fu, Junsheng

Foods (Basel, Switzerland)

2024 Volume 13, Issue 8

Abstract: Sanghuangporus ... ...

Abstract	Sanghuangporus sanghuang
Language	English
Publishing date	2024-04-13
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2704223-6
ISSN	2304-8158
ISSN	2304-8158
DOI	10.3390/foods13081190
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Article ; Online: CNN-HT: A Two-Stage Algorithm Selection Framework.

Xu, Siyi / Liu, Wenwen / Wu, Chengpei / Li, Junli

Entropy (Basel, Switzerland)

2024 Volume 26, Issue 3

Abstract: The No Free Lunch Theorem tells us that no algorithm can beat other algorithms on all types of problems. The algorithm selection structure is proposed to select the most suitable algorithm from a set of algorithms for an unknown optimization problem. ... ...

Abstract	The No Free Lunch Theorem tells us that no algorithm can beat other algorithms on all types of problems. The algorithm selection structure is proposed to select the most suitable algorithm from a set of algorithms for an unknown optimization problem. This paper introduces an innovative algorithm selection approach called the CNN-HT, which is a two-stage algorithm selection framework. In the first stage, a Convolutional Neural Network (CNN) is employed to classify problems. In the second stage, the Hypothesis Testing (HT) technique is used to suggest the best-performing algorithm based on the statistical analysis of the performance metric of algorithms that address various problem categories. The two-stage approach can adapt to different algorithm combinations without the need to retrain the entire model, and modifications can be made in the second stage only, which is an improvement of one-stage approaches. To provide a more general structure for the classification model, we adopt Exploratory Landscape Analysis (ELA) features of the problem as input and utilize feature selection techniques to reduce the redundant ones. In problem classification, the average accuracy of classifying problems using CNN is 96%, which demonstrates the advantages of CNN compared to Random Forest and Support Vector Machines. After feature selection, the accuracy increases to 98.8%, further improving the classification performance while reducing the computational cost. This demonstrates the effectiveness of the first stage of the CNN-HT method, which provides a basis for algorithm selection. In the experiments, CNN-HT shows the advantages of the second stage algorithm as well as good performance with better average rankings in different algorithm combinations compared to the individual algorithms and another algorithm combination approach.
Language	English
Publishing date	2024-03-14
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e26030262
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Article ; Online: Anaesthesia and brain development: a review of propofol-induced neurotoxicity in pediatric populations.

Zhang, Weixin / Liu, Qi / Wang, Junli / Liu, Li

Journal of developmental origins of health and disease

2024 Volume 15, Page(s) e2

Abstract: With the advancement of medical technology, there are increasing opportunities for new-borns, infants, and pregnant women to be exposed to general anaesthesia. Propofol is commonly used for the induction of anaesthesia, maintenance of general intravenous ...

Abstract	With the advancement of medical technology, there are increasing opportunities for new-borns, infants, and pregnant women to be exposed to general anaesthesia. Propofol is commonly used for the induction of anaesthesia, maintenance of general intravenous anaesthesia and sedation of intensive-care children. Many previous studies have found that propofol has organ-protective effects, but growing evidence suggests that propofol interferes with brain development, affecting learning and cognitive function. The purpose of this review is to summarize the latest progress in understanding the neurotoxicity of propofol. Evidence from case studies and clinical studies suggests that propofol has neurotoxicity on the developing brain. We classify the findings on propofol-induced neurotoxicity based on its damage mechanism. We end by summarizing the current protective strategies against propofol neurotoxicity. Fully understanding the neurotoxic mechanisms of propofol can help us use it at a reasonable dosage, reduce its side effects, and increase patient safety.
MeSH term(s)	Pregnancy ; Humans ; Female ; Child ; Propofol/toxicity ; Anesthetics, Intravenous/adverse effects ; Brain ; Cognition ; Anesthesia
Chemical Substances	Propofol (YI7VU623SF) ; Anesthetics, Intravenous
Language	English
Publishing date	2024-03-07
Publishing country	England
Document type	Journal Article ; Review
ZDB-ID	2554780-X
ISSN	2040-1752 ; 2040-1744
ISSN (online)	2040-1752
ISSN	2040-1744
DOI	10.1017/S2040174424000059
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Article ; Online: A new iterative initialization of EM algorithm for Gaussian mixture models.

Jie You / Zhaoxuan Li / Junli Du

PLoS ONE, Vol 18, Iss 4, p e

2023 Volume 0284114

Abstract: Background The expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM). However, it is highly sensitive to initial value and easily gets trapped in a local optimum. Method To address these ... ...

Abstract	Background The expectation maximization (EM) algorithm is a common tool for estimating the parameters of Gaussian mixture models (GMM). However, it is highly sensitive to initial value and easily gets trapped in a local optimum. Method To address these problems, a new iterative method of EM initialization (MRIPEM) is proposed in this paper. It incorporates the ideas of multiple restarts, iterations and clustering. In particular, the mean vector and covariance matrix of sample are calculated as the initial values of the iteration. Then, the optimal feature vector is selected from the candidate feature vectors by the maximum Mahalanobis distance as a new partition vector for clustering. The parameter values are renewed continuously according to the clustering results. Results To verify the applicability of the MRIPEM, we compared it with other two popular initialization methods on simulated and real datasets, respectively. The comparison results of the three stochastic algorithms indicate that MRIPEM algorithm is comparable in relatively high dimensions and high overlaps and significantly better in low dimensions and low overlaps.
Keywords	Medicine ; R ; Science ; Q
Subject code	519
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
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