Childhood environmental risk and youth bedtime procrastination: A path model with life history strategy and sense of control as mediators.

BACKGROUND: Bedtime procrastination is a serious threat to youths' sleep quality and physical and mental health. It is affected by various psychological and physiological factors, but few studies focused on the impact and internal mechanism of childhood experience on bedtime procrastination in adulthood from the evolutionary and developmental perspective. OBJECTIVE: This study aims to explore the distal factors of bedtime procrastination among young people, that is, the association between childhood environmental risk (harshness and unpredictability) and bedtime procrastination, as well as the mediating roles of life history (LH) strategy and sense of control. PARTICIPANTS AND SETTING: By convenience sampling, 453 Chinese college students aged 16 to 24 (55.2 % males, Mage = 21.21 years) completed questionnaires regarding demographics, childhood environmental harshness (from neighborhood, school, and family), and unpredictability (parental divorce, household moves, and parental employment changes), LH strategy, sense of control, and bedtime procrastination. METHODS: Structural equation modeling was used to test the hypothesis model. RESULTS: The results showed that childhood environmental harshness and unpredictability were both positively associated with bedtime procrastination. Sense of control had a partial mediating role between harshness and bedtime procrastination (B = 0.02, 95%CI = [0.004, 0.042]), and between unpredictability and bedtime procrastination (B = 0.01, 95%CI = [0.002, 0.031]), respectively. LH strategy and sense of control had a serial mediating role between harshness and bedtime procrastination (B = 0.04, 95%CI = [0.010, 0.074]), and between unpredictability and bedtime procrastination (B = 0.01, 95%CI = [0.003, 0.029]), respectively. CONCLUSIONS: The findings suggest that childhood environmental harshness and unpredictability are potential predictors of youths' bedtime procrastination. Young people can reduce bedtime procrastination problems by slowing LH strategies and improving their sense of control.

Effect of Nano-Tracer on Identification of Sentinel Lymph Nodes in Pelvic Cavity and Postoperative Complications in Patients with Cervical Cancer.

Cervical cancer is the most common malignant tumor of the female reproductive system. Its incidence rate ranks first among female malignant tumors in China and has been increasing in recent years. However, pelvic lymph node metastasis is an important factor affecting the prognosis of cervical cancer, because pelvic lymph node metastasis determines the scope of surgery, it is also an important basis for postoperative adjuvant treatment. Therefore, an accurate and effective method is needed to detect the presence of lymphatic metastases in time to guide the need for systematic pelvic lymph node dissection. This article explores the clinical application of nano-tracer in the surgical treatment of cervical cancer patients and the impact of postoperative complications on patients with pelvic sentinel lymph nodes. The results show that the success rate of sentinel lymph node tracing in cervical cancer surgery is high, and it is a safe and efficient lymph tracer, which can provide an effective way to study cervical micro metastasis and lymphatic chemotherapy.

Simultaneous determination of six main types of lipid-soluble pigments in green tea by visible and near-infrared spectroscopy.

Lipid-soluble pigments make great contributions to the color of green tea. This study aimed to rapidly and simultaneously measure six main types of lipid-soluble pigments in green tea by using the visible and near-infrared (Vis-NIR) spectroscopy. A total of 135 tea samples with five kinds and three grades were collected for spectral scanning and color measurement, and their lipid-soluble pigments contents were measured by high performance liquid chromatography. It can be found that tea color was closely related to the six pigments. And there were significant differences in lipid-soluble pigments contents among these kinds and grades. Finally, quantitative determination models of the six pigments obtained excellent results with Rp2 of 0.975, 0.973, 0.993, 0.919, 0.962 and 0.965 respectively based on multiple linear regression with the characteristic wavelengths. These results demonstrated that the Vis-NIR spectroscopy combined with chemometrics is a powerful tool for rapid determination of lipid-soluble pigments in green tea.

The positive feedback loop between ILF3 and lncRNA ILF3-AS1 promotes melanoma proliferation, migration, and invasion.

PURPOSE: In our previous study, we identified that lncRNA ILF3 antisense RNA 1 (ILF3-AS1) is increased and has oncogenic roles in melanoma. However, the cause of the upregulation of ILF3-AS1 and the modulation between ILF3-AS1 and ILF3 in melanoma are still unknown. This study aimed to investigate the significances of the interaction between ILF3-AS1 and ILF3 in melanoma. MATERIALS AND METHODS: The expression of ILF3 in melanoma tissues and cell lines was measured by quantitative real-time PCR (qRT-PCR). The interactions between ILF3-AS1 and ILF3 were explored by the RNA immunoprecipitation assay, the transcription inhibition assay, qRT-PCR, the chromatin immunoprecipitation assay, and Western blot. Gain-of-function and loss-of-function assays were performed to investigate the effects of ILF3 and ILF3-AS1 on melanoma proliferation, migration, and invasion. RESULTS: ILF3 is also increased in melanoma tissues and cell lines. Increased expression of ILF3 predicts poor survival of melanoma patients. Mechanistic investigation revealed that ILF3 directly binds ILF3-AS1, increases ILF3-AS1 transcript stability, and upregulates ILF3-AS1 transcript levels. ILF3-AS1 represses the binding of EZH2 to the promoter of ILF3, induces euchromatin formation at ILF3 promoter, and activates ILF3 transcription. Thus, ILF3 and ILF3-AS1 form positive feedback loop, which induces the upregulation of ILF3 and ILF3-AS1 in melanoma. The expression of ILF3-AS1 is positively correlated with ILF3 in melanoma tissues. Functional assays revealed that overexpression of ILF3 promotes melanoma proliferation, migration, and invasion. Depletion of ILF3 inhibits melanoma proliferation, migration, and invasion. Moreover, concurrent depletion of ILF3 and ILF3-AS1 significantly suppresses melanoma proliferation, migration, and invasion. CONCLUSION: Both ILF3-AS1 and ILF3 are increased in melanoma. ILF3-AS1 and ILF3 positively regulate each other. Concurrent targeting ILF3-AS1 and ILF3 has significant tumor-suppressive roles in melanoma. Our data suggested that targeting the positive feedback loop between ILF3 and ILF3-AS1 may be promising therapeutic strategies for melanoma.

Rapid Determination of Chlorophyll and Pheophytin in Green Tea Using Fourier Transform Infrared Spectroscopy.

The chlorophyll, pheophytin, and their proportions are critical factors to evaluate the sensory quality of green tea. This research aims to establish an effective method to determine the quantification of chlorophyll and pheophytin in green tea, based on Fourier transform infrared (FT⁻IR) spectroscopy. First, five brands of tea were collected for spectral acquisition, and the chlorophyll and pheophytin were measured using the reference method. Then, a relation between these two pigments and FT⁻IR spectroscopy were developed based on chemometrics. Additionally, the characteristic IR wavenumbers of these pigments were extracted and proved to be effective for a quantitative determination. Successively, non-linear models were also built based on these characteristic wavenumbers, obtaining coefficients of determination of 0.87, 0.80, 0.85 and 0.89; and relative predictive deviations of 2.77, 2.62, 2.26 and 3.07 for the four pigments, respectively. These results demonstrate the feasibility of FT⁻IR spectroscopy for the determination of chlorophyll and pheophytin.

Early Detection of Magnaporthe oryzae-Infected Barley Leaves and Lesion Visualization Based on Hyperspectral Imaging.

Early detection of foliar diseases is vital to the management of plant disease, since these pathogens hinder crop productivity worldwide. This research applied hyperspectral imaging (HSI) technology to early detection of Magnaporthe oryzae-infected barley leaves at four consecutive infection periods. The averaged spectra were used to identify the infection periods of the samples. Additionally, principal component analysis (PCA), spectral unmixing analysis and spectral angle mapping (SAM) were adopted to locate the lesion sites. The results indicated that linear discriminant analysis (LDA) coupled with competitive adaptive reweighted sampling (CARS) achieved over 98% classification accuracy and successfully identified the infected samples 24 h after inoculation. Importantly, spectral unmixing analysis was able to reveal the lesion regions within 24 h after inoculation, and the resulting visualization of host-pathogen interactions was interpretable. Therefore, HSI combined with analysis by those methods would be a promising tool for both early infection period identification and lesion visualization, which would greatly improve plant disease management.