14 results match your criteria: "Maternity and Child Health Hospital of Qinhuangdao[Affiliation]"

The continuous evolution of information technology underscores the growing emphasis on data security. In the realm of medical imaging, various diagnostic images represent the privacy of individuals, and the potential repercussions of their unauthorized disclosure are substantial. Therefore, this study introduces a novel chaotic system (TLCMCML) and employs it to propose a multi-image medical image encryption algorithm.

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Autism spectrum disorder (ASD) is a neurodevelopmental disorder with altered brain activity. However, little is known about the integrated temporospatial variation of dynamic spontaneous brain activity in ASD. In the present study, resting-state functional magnetic resonance imaging data were analyzed for 105 ASD and 102 demographically-matched typically developmental controls (TC) children obtained from the Autism Brain Imaging Data Exchange database.

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Autism spectrum disorder (ASD) is a neurodevelopmental disorder accompanied by structural and functional changes in the brain. However, the relationship between brain structure and function in children with ASD remains largely obscure. In the current study, parallel independent component analysis (pICA) was performed to identify inter-modality associations by drawing on information from different modalities.

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In this paper, triazole derivatives were prepared by a three-step mild reaction using carbon disulfide as starting material. In face of microbial threats, we found that compound 3-cyclopropyl-[1,2,4]triazolo [3,4-b][1,3,4]thiadiazole-6-thiol () has good antibacterial activity, inhibition and clearance ability against biofilms, low hemolytic activity and toxicity, good anti-inflammatory activity. At the same time, we found that and series compounds have good metal ion scavenging ability, with removal rates of series ranging from 47% to 67% and series ranging from 67% to 87%.

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Sex heterogeneity has been frequently reported in autism spectrum disorders (ASD) and has been linked to static differences in brain function. However, given the complexity of ASD and diagnosis-by-sex interactions, dynamic characteristics of brain activity and functional connectivity may provide important information for distinguishing ASD phenotypes between females and males. The aim of this study was to explore sex heterogeneity of functional networks in the ASD brain from a dynamic perspective.

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Dynamic network reconfiguration alterations in the autism spectrum disorder (ASD) brain have been frequently reported. However, since the prevalence of ASD in males is approximately 3.8 times higher than that in females, and previous studies of dynamic network reconfiguration of ASD have predominantly used male samples, it is unclear whether sex differences exist in dynamic network reconfiguration in ASD.

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Resolving heterogeneity in dynamics of synchronization stability within the salience network in autism spectrum disorder.

Prog Neuropsychopharmacol Biol Psychiatry

April 2024

School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China; Hebei Key Laboratory of Information Transmission and Signal Processing, Yanshan University, Qinhuangdao 066004, China. Electronic address:

Background: Heterogeneity in resting-state functional connectivity (FC) are one of the characteristics of autism spectrum disorder (ASD). Traditional resting-state FC primarily focuses on linear correlations, ignoring the nonlinear properties involved in synchronization between networks or brain regions.

Methods: In the present study, the cross-recurrence quantification analysis, a nonlinear method based on dynamical systems, was utilized to quantify the synchronization stability between brain regions within the salience network (SN) of ASD.

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Atypical functional connectivity (FC) patterns have been identified in autism spectrum disorders (ASD), especially within salience network (SN) and between SN and default mode network (DMN) and central executive network (CEN). But whether the dynamic configuration of intra-SN and inter-SN (SN with DMN and CEN) FC in ASD is also heterogeneous remains unknown. Based on the resting-state functional magnetic resonance imaging data from 105 ASD and 102 typically-developing controls (TC), we calculated the time-varying FC of intra-SN and inter-SN (SN with DMN and CEN).

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Objective: Evidence demonstrates that the immune microenvironment is extensively associated with chemotherapy response of ovarian cancer (OV). Herein, this study is aimed at establishing a cisplatin response prediction model for OV on the basis of immune genes.

Methods: The expression profiles of cisplatin-sensitive and cisplatin-resistant OV specimens were integrated from multiple public datasets.

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This study aimed to identify the molecular mechanism by which JAK2 mRNA and microRNA-135a-5p (miR-135a-5p) affect asthenozoospermia. The expression levels of JAK2 mRNA in the spermatozoa of 30 asthenozoospermia patients and 30 normal controls were detected by reverse transcription-quantitative polymerase chain reaction (RT-qPCR). MiR-135a-5p that targeted JAK2 mRNA was predicted by bioinformatics.

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The Effects of Follistatin on the Differentiation of Human Bone Marrow Mesenchymal Stem Cells into Neurons-Like Cells.

Ann Clin Lab Sci

January 2020

Department of Liaoning Provincial Key Laboratory of Follicle Development and Reproductive Health, the Third Affiliated Hospital of Jinzhou Medical University, Jinzhou, Liaoning, China.

Objective: The present study was designed to evaluate the effects of Follistatin (FST) on the differentiation of human bone marrow mesenchymal stem cells (hBMSCs) into neuron-like cells.

Materials And Methods: hBMSCs were isolated and characterized by cell surface markers including CD29, CD44, CD166, CD34, CD14, and CD45. Subsequently, 0.

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Dysregulation of long noncoding RNAs (lncRNAs) has been found in a large number of human cancers, including colon cancer. Therefore, the implementation of potential lncRNAs biomarkers with prognostic prediction value are very much essential. GSE39582 data set was downloaded from database of Gene Expression Omnibus.

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Objectives: MicroRNAs have been reported to participate in various important cell biological processes, such as glucose metabolism. The aim of this study was to explore the roles of microRNA-15a (miR-15a) in regulating insulin sensitivity.

Methods: In L6 rat skeletal muscle cells, we observed the effect of miR-15a on glucose metabolism and glucose transporter 4 (GLUT4) translocation by targeting vesicle-associated membrane protein-associated protein A (VAP-A) after insulin treatment.

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Gestational Diabetes Mellitus (GDM) has brought great harm to maternal and fetus. Up to now, only a few plasma biomarkers for its early diagnosis have been reported; nevertheless, there is no report about identification of urinary biomarkers for prediction of GDM. Thus, it is necessary to correct this deficiency.

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