Family Time and Money Inputs in Education and Teenager Development: Interpretation of Social Capital, Cultural Capital, and Shadow Education

This paper utilizes data from the China Education Panel Survey 2013-2015 to examine the effects of family time and money inputs in education on adolescent academic performance from the perspectives of home social capital, cultural capital, and shadow education. Home time input in education is more vital to teenager academic progress than money input. Domestic social capital and cultural capital as well as weekend shadow education positively impact child academic results. Home-based parental participation as a key component of domestic social capital has the most significant influence on teenager academic improvement, while weekend supplementary tutoring generates the weakest effect; workday extracurricular tutoring even negatively affects student academic achievement. School-based parental involvement differs among families of different classes, with a significant negative effect on academic results of teenagers from disadvantaged backgrounds. Due to the absence of heterogeneity effects of home time input in education on academic progress of students from various social backgrounds, parental time investment should be taken as the most effective means to improve academic performance of adolescents from underprivileged classes

Research on the Application and Optimization of Knowledge Graph in Automatic Machine Learning

Automatic Machine Learning (AutoML) refers to the use of machine learning techniques to automate the entire process of machine learning, including data preprocessing, feature selection, model selection, and hyperparameter optimization. As a structured method for representing and storing knowledge, knowledge graphs have broad application prospects in automatic machine learning. By fully utilizing the information in the knowledge graph, the intelligence and decision-making ability of automatic machine learning systems can be strengthened, promoting the development and application of machine learning technology in various fields

Triiodothyronine participates in odontoblast differentiation of apical papilla stem cells through regulation of ERK and p38MAPK signaling pathways

Purpose: To investigate the effect of triiodothyronine (T3) in odontoblast differentiation of apical papilla stem cells, and the mechanism of action involved. Methods: Apical unclosed permanent molars extracted from patients due to orthodontics and impaction were selected. The extracted teeth were cultured in the isolation stage of SCAP cells. The cells were exposed to different concentrations of T3. The effects of ERK and p38 MAPK signaling pathways on activity of alkaline phosphatase (ALP) were determined. Calcium deposition was measured using a calcium determination kit, while the expression of BMP - 2 protein by T3 was determined by Western blot assay. Fluorescence quantitative polymerase chain reaction (FqPCR) method was used to determine the mRNA expression of BMP. Results: The ALP activities were significantly higher in T3 groups than in control group. Relative to control, there were marked differences in ALP activity and calcium deposition in T3 group, T3 + PD group and T3 + SB group (p < 0.05). Relative to control, the mRNA and protein expressions of BMP-2 in T3 group were increased significantly (p < 0.05). Conclusion: Triiodothyronine regulates the differentiation of apical papilla stem cells into dentin through ERK and p38MAPK signaling pathways. This provides the mechanism underlying odontoblast differentiation of apical papilla stem cells

Transcriptome-based network analysis related to M2-like tumor-associated macrophage infiltration identified VARS1 as a potential target for improving melanoma immunotherapy efficacy

Rationale The M2-like tumor-associated macrophages (TAMs) are independent prognostic factors in melanoma. Methods We performed weighted gene co-expression network analysis (WGCNA) to identify the module most correlated with M2-like TAMs. The Cancer Genome Atlas (TCGA) patients were classified into two clusters that differed based on prognosis and biological function, with consensus clustering. A prognostic model was established based on the differentially expressed genes (DEGs) of the two clusters. We investigated the difference in immune cell infiltration and immune response-related gene expression between the high and low risk score groups. Results The risk score was defined as an independent prognostic value in melanoma. VARS1 was a hub gene in the M2-like macrophage-associated WGCNA module that the DepMap portal demonstrated was necessary for melanoma growth. Overexpressing VARS1 in vitro increased melanoma cell migration and invasion, while downregulating VARS1 had the opposite result. VARS1 overexpression promoted M2 macrophage polarization and increased TGF-β1 concentrations in tumor cell supernatant in vitro. VARS1 expression was inversely correlated with immune-related signaling pathways and the expression of several immune checkpoint genes. In addition, the VARS1 expression level helped predict the response to anti-PD-1 immunotherapy. Pan-cancer analysis demonstrated that VARS1 expression negatively correlated with CD8 T cell infiltration and the immune response-related pathways in most cancers. Conclusion We established an M2-like TAM-related prognostic model for melanoma and explored the role of VARS1 in melanoma progression, M2 macrophage polarization, and the development of immunotherapy resistance

Error Control Coding Techniques for Space and Satellite Communications

Bootstrap Hybrid Decoding (BHD) (Jelinek and Cocke, 1971) is a coding/decoding scheme that adds extra redundancy to a set of convolutionally encoded codewords and uses this redundancy to provide reliability information to a sequential decoder. Theoretical results indicate that bit error probability performance (BER) of BHD is close to that of Turbo-codes, without some of their drawbacks. In this report we study the use of the Multiple Stack Algorithm (MSA) (Chevillat and Costello, Jr., 1977) as the underlying sequential decoding algorithm in BHD, which makes possible an iterative version of BHD

Giant photoinduced lattice distortion in oxygen-vacancy ordered SrCoO2.5 thin films

Despite of the tremendous efforts spent on the oxygen vacancy migration in determining the property optimization of oxygen-vacancy enrichment transition metal oxides, few has focused on their dynamic behaviors non-equilibrium states. In this work, we performed multi-timescale ultrafast X-ray diffraction measurements by using picosecond synchrotron X-ray pulses and femtosecond table-top X-ray pulses to monitor the structural dynamics in the oxygen-vacancy ordered SrCoO2.5 thin films. A giant photoinduced strain ({\Delta}c/c > 1%) was observed, whose distinct correlation with the pump photon energy indicates a non-thermal origin of the photoinduced strain. The sub-picosecond resolution X-ray diffraction reveals the formation and propagation of the coherent acoustic phonons inside the film. We also simulate the effect of photoexcited electron-hole pairs and the resulting lattice changes using the Density Function Theory method to obtain further insight on the microscopic mechanism of the measured photostriction effect. Comparable photostrictive responses and the strong dependence on excitation wavelength are predicted, revealing a bonding to anti-bonding charge transfer or high spin to intermediate spin crossover induced lattice expansion in the oxygen-vacancy films.Comment: 12 pages, 4 figures, support materia

Single-shot compressed ultrafast photography: a review

Compressed ultrafast photography (CUP) is a burgeoning single-shot computational imaging technique that provides an imaging speed as high as 10 trillion frames per second and a sequence depth of up to a few hundred frames. This technique synergizes compressed sensing and the streak camera technique to capture nonrepeatable ultrafast transient events with a single shot. With recent unprecedented technical developments and extensions of this methodology, it has been widely used in ultrafast optical imaging and metrology, ultrafast electron diffraction and microscopy, and information security protection. We review the basic principles of CUP, its recent advances in data acquisition and image reconstruction, its fusions with other modalities, and its unique applications in multiple research fields

Integration of Cadmium Accumulation, Subcellular Distribution, and Physiological Responses to Understand Cadmium Tolerance in Apple Rootstocks

Cadmium (Cd) is a nonessential and highly toxic element causing agricultural problems. However, little information is available about the variation in Cd tolerance among apple rootstocks and its underlying physiological regulation mechanisms. This study investigated Cd accumulation, subcellular distribution, and chemical forms as well as physiological changes among four apple rootstocks exposed to either 0 or 300 μM CdCl2. The results showed that variations in Cd tolerance existed among these rootstocks. Cd exposure caused decline in photosynthesis, chlorophyll and biomass in four apple rootstocks, which was less pronounced in M. baccata, indicating its higher Cd tolerance. This finding was corroborated with higher Cd tolerance indexes (TIs) of the whole plant in M. baccata than those in the other three apple rootstocks. Among the four apple rootstocks, M. baccata displayed the lowest Cd concentrations in roots, wood, and leaves, the smallest total Cd amounts as well as the lowest BCF. In apple rootstocks, it was found that to immobilize Cd in cell wall and soluble fraction (most likely in vacuole) and to convert it into pectate- or protein- integrated forms and undissolved Cd phosphate forms may be the primary strategies to reduce Cd mobility and toxicity. The physiological changes including ROS, carbohydrates and antioxidants were in line with the variations of Cd tolerance among four apple rootstocks. In comparison with the other three apple rootstocks, M. baccata had lower concentrations of ROS in roots and bark, H2O2 in roots and leaves and MDA in roots, wood and bark, but higher concentrations of soluble sugars in bark and starch in roots and leaves, and enhanced antioxidants. These results indicate that M. baccata are more tolerant to Cd stress than the other three apple rootstocks under the current experiment conditions, which is probably related to Cd accumulation, subcellular partitioning and chemical forms of Cd and well-coordinated antioxidant defense mechanisms