Objective To investigate the status and influence factors for prevention strategies and suitable measures of the emotional and behavioral problems among 3~6years old children in rural areas of Shandong province. Methods A total of 735children were recruited as the subjects with random cluster sampling method from 8kindergartens.Data were collected with questionnaires including the Children Strengths and Difficulties Questionnaire(edition for parents,SDQ),and a self-designed Families' Condition Questionnaire. Results The prevalence of emotional and behavioral problems was 34.15%.The SDQ scores of male children on morality problems,peer intercourse problems,difficult problems were higher than female children's(P0.05),and the SDQ scores of male children on social behavior were lower than female children's(P0.01).The children nursing by parents significantly got lower scores on morality problem,hyperactivity and difficult problems than those not(P0.05).Logistic regression analyses showed that an only child and activity limitation within one year were influencing factors. Conclusion The prevalence of emotional and behavioral problems are common,more attention should be paid and efficient intervention should be considered.
Single-cell omics technologies can measure millions of cells for up to thousands of biomolecular features, enabling data-driven studies of complex biological networks. However, these high-throughput experimental techniques often cannot track individual cells over time, thus complicating the understanding of dynamics such as time trajectories of cell states. These "dynamical phenotypes" are key to understanding biological phenomena such as differentiation fates. We show by mathematical analysis that, in spite of high dimensionality and lack of individual cell traces, three time-points of single-cell omics data are theoretically necessary and sufficient to uniquely determine the network interaction matrix and associated dynamics. Moreover, we show through numerical simulations that an interaction matrix can be accurately determined with three or more time-points even in the presence of sampling and measurement noise typical of single-cell omics. Our results can guide the design of single-cell omics time-course experiments, and provide a tool for data-driven phase-space analysis.
Abstract The architecture of normal and diseased tissues strongly influences the development and progression of disease as well as responsiveness and resistance to therapy. We describe a tissue-based cyclic immunofluorescence (t-CyCIF) method for highly multiplexed immuno-fluorescence imaging of formalin-fixed, paraffin-embedded (FFPE) specimens mounted on glass slides, the most widely used specimens for histopathological diagnosis of cancer and other diseases. t-CyCIF generates up to 60-plex images using an iterative process (a cycle) in which conventional low-plex fluorescence images are repeatedly collected from the same sample and then assembled into a high dimensional representation. t-CyCIF requires no specialized instruments or reagents and is compatible with super-resolution imaging; we demonstrate its application to quantifying signal transduction cascades, tumor antigens and immune markers in diverse tissues and tumors. The simplicity and adaptability of t-CyCIF makes it an effective method for pre-clinical and clinical research and a natural complement to single-cell genomics.
Objective: The aim of this study was to evaluate the relationship between lifestyle habits and health-related quality of life (HRQoL) among different ages who were initially diagnosed with breast cancer (within the first 2 weeks) and to determine the contribution of lifestyle habits factors on HRQoL. Methods: Patients with breast cancer were recruited from 22 hospitals in 11 provinces or municipalities in northern and eastern China. The Functional Assessment of Cancer Therapy-Breast Cancer (FACT-B) was used to measure HRQoL. Chi-square test, ANOVA, and multivariable generalized linear models were conducted to identify the differences in HRQoL between two age groups (age <50 years and ≥50 years) and to evaluate the contribution of lifestyle habits factors on HRQoL of patients with breast cancer. Results: About 1,199 eligible patients with breast cancer were used for analysis. Younger women (aged <50 years) appeared to show lower scores than older women (aged ≥50 years) in HRQoL subscales, including emotional well-being ( p = 0.003), functional well-being ( p = 0.006), breast cancer subscale ( p = 0.038), and FACT-B Total scores ( p = 0.028). Tea and alcohol consumption and being very satisfied with sleep and current life were the strongest predictors of higher HRQoL in younger group. Meanwhile, no coffee consumption, frequent participation in physical activities, high sleep satisfaction, and current life satisfaction were the key predictors of higher HRQoL in older women with breast cancer. Conclusion: The relationship of the nine lifestyle habit items with HRQoL differed among younger and older women. The associated variable of low HRQoL can help clinicians take intervention early in order to improve the prognosis of patients with breast cancer.
Objective:To investigate the psychology or behavior problems of 4～16 years old children and provide the evidence for early interventions.Methods:1 000 patients aged 4～16 selected from outpatient department of this hospital were measured by Rutter child behavior checklist.Results:Positive rate of children boys were 17.4% (n=122), that of girls were 10% (n=74).Conclusion:Psychology and behavior problems can not be ignored. Medical staff could treat the patients with drugs, but also give advice to the patients and their relatives about knowledge of psychology and behavior.
Significance High-dimensional datasets are becoming increasingly prevalent in many scientific fields. A universal theme connecting these high-dimensional datasets is the ansatz that data points are constrained to lie on nonlinear low-dimensional manifolds, whose structure is dictated by the natural laws governing the data. While tools have been developed for estimating global properties of these data manifolds, estimating the Riemannian curvature, a local property, has not been considered. Computing curvature of data manifolds offers both detailed criteria with which to evaluate models of these complex data (e.g., a Klein bottle model of image patches) and a way to explore detailed geometric features that cannot simply be visualized by the naked eye (e.g., in single-cell RNA-sequencing data).
Objective:To identify viral meningitis,purulent meningitis and tuberculous meningitis by detecting the content of cerebrospinal fluid lactic acid(CSF LA) in patients with infections of central nervous system.Methods:The value of lactic acid was detected by using copper sulphate.Results:The content of CSF LA was 16.0±3.6 mg% in normal control group,17.2±4.2 mg% in viral meningitis group,60.8±12.6 mg% in purulent meningitis group,51.5±12.9 mg% in tuberculous meningitis group and 17.7±5.4 mg% in cysticercosis group.The contents of CSF LA in purulent meningitis and tuberculous meningitis groups were significantly higher than those in the other three groups( P 0.01).But there was no significant difference between the two groups( P 0.05).By dynamic detection of CSF LA,we could see that in purulent meningitis group it took 8.0±2.7 days of CSF LA to lower to normal level (30 mg%),whereas in tuberculous meningitis group it took 21±6.3 days,which was remarkably longer than that in purulent meningitis group( P 0.01).Conclusions:The contents of CSF LA in purulent meningitis and tuberculous meningitis groups were significantly higher than that in normal control group,viral meningitis group and cysticercosis group.[
Introduction Chronic alcoholism can result in severe liver conditions such as fatty liver disease and cirrhosis, potentially leading to life-threatening complications and premature death. Objectives This study investigated the age-sex distribution of patients with alcohol addiction and aimed to identify differences in clinic department preferences based on their principal and additional diagnoses in Taiwan, in 2022. Methods We conducted a comprehensive analysis of the diagnostic patterns of 334 patients with alcohol addiction from the Taoyuan General Hospital, Ministry of Health and Welfare. Results Figure 1 depicts patient demographics, highlighting 297 male and 37 female patients with alcohol-related disorders. Males aged 41-60 years were particularly dominant, as shown in Figure 2 . Principal diagnoses, including alcoholic liver disease and acute pancreatitis, are detailed in Table 1 . Additional diagnoses, such as chronic pancreatitis and esophageal varices, are presented in Table 2 . For departmental preferences, Table 3 reveals the Gastrointestinal (GI) department as the top choice, followed by Kidney, Neurological, and Cardiovascular/Chest. Table 1. Top 5 Principal Diagnoses of Alcohol Addiction Patients. ICD-10-CM Principle diagnosis Times Rank K70 Alcoholic liver disease 43 1 K85 Acute pancreatitis 27 2 F10 Alcohol related disorders 18 3 A41 Other sepsis 14 4 K86 Other chronic pancreatits 11 5 Table 2. Top 5 Additional Diagnoses of Alcohol Addiction Patients. ICD-10-CM Additional diagnosis Times Rank F10 Alcohol related disorders 40 1 K86 Other chronic pancreatits 18 2 I85 Esophageal varices 16 3 K70 Other sepsis 16 E87 Other disorders of fluid, electrolyte and acid-base balance 15 4 R65 Symptoms and signs specifically associated with systemic inflammation and infection 10 5 Table 3. Top 5 Departments for Alcoholism Patient Presentation. Department Times Rank Gastrointestinal 162 1 Kidney 39 2 Neurological 25 3 Cardiovascular Chest 15 4 Image: Image 2: Conclusions The study revealed that patients with alcohol addiction often delay seeking psychiatric help instead of presenting for medical care only after liver or gastrointestinal complications occur. This underscores the crucial need for better health education regarding the relationship between alcohol addiction and liver disease. Prompt recognition and early intervention for substance addiction can significantly reduce these risks and improve patient outcomes. Disclosure of Interest None Declared
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