1,146 research outputs found
Re-thinking about Primary and Secondary School Teachers’ Professional Standards in China
China has implemented “Middle School Teachers’ Professional Standard (trial)”, “Primary School Teachers’ Professional Standard (trial)” and “Kindergarten Teacher Professional Standards (trial)” for over four years. However, in the actual operating level, these teachers’ professional standards have bad influence on teacher’s critical thinking and the alienation relationship between teachers and students, so this article tries to summarize the teachers’ professional standards in developed countries based on the current our country overall education background, and comes up with several suggestions for Teachers’ Professional Standards in China. Keywords: Teachers’ Professional Standards; Education Background; Suggestion
Relationship Among Children’s Social-emotional Competence, Social Support, Academic Achievement and Aggressive Behavior in the Primary School in China
With the development of humanistic education, scholars believe that children’s social-emotional competence mostly will take charge of their future family, school and life success in the future. Because of too much time focusing on social-skills training and few about children’ s social-emotional competence and relationship between social-emotional competence and aggressive behavior in China, and this article firstly shows concepts of social-emotional competence, social support, academic achievement and aggressive behavior. Secondly, social-emotional competence and social support were hypothesized to have strong influences on academic achievement and aggressive behavior in the study. Participants were 301 pupils (151 boys and 150 girls) from 2 elementary schools in Nanjing, China. The findings suggest that the students with stronger social-emotional competence performed fewer aggressive behaviors than the other peers. Keywords: children; social-emotions competence; social support; aggressio
Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure
Arterial blood pressure (ABP) holds substantial promise for proactive
cardiovascular health management. Notwithstanding its potential, the invasive
nature of ABP measurements confines their utility primarily to clinical
environments, limiting their applicability for continuous monitoring beyond
medical facilities. The conversion of photoplethysmography (PPG) signals into
ABP equivalents has garnered significant attention due to its potential in
revolutionizing cardiovascular disease management. Recent strides in PPG-to-ABP
prediction encompass the integration of generative and discriminative models.
Despite these advances, the efficacy of these models is curtailed by the latent
space shift predicament, stemming from alterations in PPG data distribution
across disparate hardware and individuals, potentially leading to distorted ABP
waveforms. To tackle this problem, we present an innovative solution named the
Latent Space Constraint Transformer (LSCT), leveraging a quantized codebook to
yield robust latent spaces by employing multiple discretizing bases. To
facilitate improved reconstruction, the Correlation-boosted Attention Module
(CAM) is introduced to systematically query pertinent bases on a global scale.
Furthermore, to enhance expressive capacity, we propose the Multi-Spectrum
Enhancement Knowledge (MSEK), which fosters local information flow within the
channels of latent code and provides additional embedding for reconstruction.
Through comprehensive experimentation on both publicly available datasets and a
private downstream task dataset, the proposed approach demonstrates noteworthy
performance enhancements compared to existing methods. Extensive ablation
studies further substantiate the effectiveness of each introduced module.Comment: Accepted by AAAI-2024, main trac
Extending the wavelength range of multi-spectral microscope systems with Fourier ptychography
Due to the chromatic dispersion properties inherent in all optical materials, even the best designed multi-spectral objective will exhibit residual chromatic aberration effect. Here we show that the aberration correction ability of Fourier Ptychographic Microscopy (FPM) is well matched and well suited for post-image acquisition correction of these effects to render in-focus images. We show that an objective with significant spectral focal shift (up to 0.02 ÎĽm/nm) and spectral field curvature (up to 0.05 ÎĽm/nm drift at off-axis position of 800ÎĽm) can be computationally corrected to render images with effectively null spectral defocus and field curvature. This approach of combining optical objective design and computational microscopy provides a good strategy for high quality multi-spectral imaging over a broad spectral range, and eliminating the need for mechanical actuation solutions
A combination of phospholipids and long chain polyunsaturated fatty acids supports neurodevelopmental outcomes in infants: a randomized, double-blind, controlled clinical trial
Phospholipids (PLs) and long-chain polyunsaturated fatty acids (LCPUFAs) are naturally present in breast milk and play important roles in promoting the growth of the infant. Several studies have investigated the effects of the combination of PLs and LCPUFAs on neurodevelopment. However, data on the effectiveness of infant formula containing both PLs and LCPUFAs on the neurodevelopment of infants is still scarce. This randomized, double-blind, controlled clinical study was designed to evaluate the effect of an infant formula enriched with PLs and LCPUFAs on growth parameters and neurodevelopmental outcomes in term infants up to 365 days of age. Infants were enrolled within 30 days of birth who were then randomly assigned to either a control group (n = 150) or an investigational group (n = 150). Both groups consist of cow’s milk-based formula which were generally identical in terms of composition, except that the investigational formula was additionally supplemented with PLs and LCPUFAs. The infants were followed for the first year of life. Breastfed infants were the reference (n = 150). Bayley Scales of Infant Development [3rd edition (Bayley-III)], Carey Toddler Temperament Scales (TTS), MacArthur-Bates Communicative Development Inventories (CDI), Single Object Attention and Free Play Tasks were used to evaluate neurodevelopmental outcomes of infant at 365 days of age. In addition, Ages and Stages Questionnaires (ASQ) were also conducted at 120, 180, and 275 days of age. Compared to breastfeeding, both infant formulas were well-tolerated and provided adequate growth, with no adverse events being reported throughout the study. Infants of the investigational group showed higher mean scores in Bayley-III cognitive performance (104.3 vs. 99.0, p < 0.05), language (106.9 vs. 104.5, p < 0.05), and motor skills (109.2 vs. 103.9, p < 0.05) compared the control group. Similar results were being reported for other developmental scales including TTS and ASQ. Notably, the test scores of infants fed the investigational formula were similar to those who were breastfed. Our results indicate that PL and LCPUFA supplementation may be beneficial for neurodevelopment of infants throughout the first year of life. Further studies are needed to investigation long-term effects PL and LCPUFA on neurodevelopment in early life
Association of dementia with immunoglobulin G N-glycans in a Chinese Han population
Immunoglobulin G (IgG) functionality can drastically change from anti- to proinflammatory by alterations in the IgG N-glycan patterns. Our previous studies have demonstrated that IgG N-glycans associated with the risk factors of dementia, such as aging, dyslipidemia, type 2 diabetes mellitus, hypertension, and ischemic stroke. Therefore, the aim is to investigate whether the effects of IgG N-glycan profiles on dementia exists in a Chinese Han population. A case–control study, including 81 patients with dementia, 81 age- and gender-matched controls with normal cognitive functioning (NC) and 108 non-matched controls with mild cognitive impairment (MCI) was performed. Plasma IgG N-glycans were separated by ultra-performance liquid chromatography. Fourteen glycan peaks reflecting decreased of sialylation and core fucosylation, and increased bisecting N-acetylglucosamine (GlcNAc) N-glycan structures were of statistically significant differences between dementia and NC groups after controlling for confounders (p \u3c 0.05; q \u3c 0.05). Similarly, the differences for these 14 initial glycans were statistically significant between AD and NC groups after adjusting for the effects of confounders (p \u3c 0.05; q \u3c 0.05). The area under the receiver operating curve (AUC) value of the model consisting of GP8, GP9, and GP14 was determined to distinguish dementia from NC group as 0.876 [95% confidence interval (CI): 0.815–0.923] and distinguish AD from NC group as 0.887 (95% CI: 0.819–0.936). Patients with dementia were of an elevated proinflammatory activity via the significant changes of IgG glycome. Therefore, IgG N-glycans might contribute to be potential novel biomarkers for the neurodegenerative process risk assessment of dementia
Environmental drivers of the leaf nitrogen and phosphorus stoichiometry characteristics of critically endangered Acer catalpifolium
Acer catalpifolium is a perennial deciduous broad-leaved woody plant, listed in the second-class protection program in China mainly distributed on the northwest edge of Chengdu plain. However, extensive anthropogenic disturbances and pollutants emissions (such as SO2, NH3 and NOX) in this area have created a heterogeneous habitat for this species and its impacts have not been systematically studied. In this study, we investigated the leaf nitrogen (N) and phosphorus (P) content of A. catalpifolium in the natural distribution areas, and a series of simulation experiments (e.g., various water and light supply regimes, different acid and N deposition levels, reintroduction management) were conducted to analyze responses of N and P stoichiometric characteristics to environmental changes. The results showed that leaf nitrogen content (LNC) was 14.49 ~ 25.44 mg g-1, leaf phosphorus content (LPC) was 1.29~3.81 mg g-1 and the N/P ratio of the leaf (L-N/P) was 4.87~13.93. As per the simulation experiments, LNC of A. catalpifolium is found to be relatively high at strong light conditions (80% of full light), high N deposition (100 and 150Â kg N ha-1), low acidity rainwater, reintroduction to understory area or N fertilizer applications. A high level of LPC was found when applied with 80% of full light and moderate N deposition (100Â kg N ha-1). L-N/P was high under severe shade (8% of full light), severe N deposition (200Â kg N ha-1), and reintroduction to gap and undergrowth habitat; however, low L-N/P was observed at low acidity rainwater or P fertilizer application. The nutrient supply facilitates corresponding elements uptake, shade tends to induce P limitation and soil acidification shows N limitation. Our results provide theoretical guidance for field management and nutrient supply regimes for future protection, population rejuvenation of this species and provide guidelines for conservation and nutrient management strategies for the endangered species
Extending the wavelength range of multi-spectral microscope systems with Fourier ptychography
Due to the chromatic dispersion properties inherent in all optical materials, even the best designed multi-spectral objective will exhibit residual chromatic aberration effect. Here we show that the aberration correction ability of Fourier Ptychographic Microscopy (FPM) is well matched and well suited for post-image acquisition correction of these effects to render in-focus images. We show that an objective with significant spectral focal shift (up to 0.02 ÎĽm/nm) and spectral field curvature (up to 0.05 ÎĽm/nm drift at off-axis position of 800ÎĽm) can be computationally corrected to render images with effectively null spectral defocus and field curvature. This approach of combining optical objective design and computational microscopy provides a good strategy for high quality multi-spectral imaging over a broad spectral range, and eliminating the need for mechanical actuation solutions
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