A comparative study of the Chinese characters in the Graded list and the EBCL list

This study scrutinizes the Chinese characters in two reference works compiled as part of two projects: the Graded list and the EBCL list. Situated in the character-based theory, the characters compiled in both are examined in depth from the perspective of character complexity, character structure, semantic and phonetic radical transparency, frequency of character and frequency of word formation. The results show that the two lists share similarities in terms of distribution of characters of different structures, level of semantic radical transparency, and frequencies of character and word formation. The character complexity of the Graded list is higher than that of the EBCL, while the level of phonetic radical transparency of the Graded list is lower than that of the EBCL list. With the Graded list, the high demands of character learning need to be borne in mind; this is due to the visual load of character complexity and the pronunciation information provided in phonetic radicals. Against a backdrop of increasing demand for CFL pedagogical materials, the differences and similarities between the two lists analysed and discussed in this study contribute to their pedagogical applications in teaching and learning Chinese characters

Effects of Personalized Aerobic-Exercise and Resistance-Training Prescriptions on College Students with Anxiety During the COVID-19

The COVID-19 pandemic has seriously increased anxiety prevalence among the public, including Chinese college students. However, many exercises cannot be performed as usual under the stay-at-home order. The purpose of this study was to evaluate and compare the effect of personalized individual aerobic-exercise and resistance-training prescriptions on anxiety in college students during the COVID-19. This was a 12-week three-arm randomized control trial using the intention-to-treat principle. Sixty-six college students with anxiety were recruited and randomized into aerobic-exercise (AE), resistance-training (RT), and health-education group (HE). AE and RT groups also received health education. Measures on anxiety and physical activity included Zung Self-Rating Anxiety Scale (SAS), Chinese College Students Mental Health Scale - Anxiety Subscale (CCSMHS-AS) and International Physical Activity Questionnaire-Short Form (IPAQ-SF). All data were collected at the baseline, 4, 8, 12 weeks and 4-week post-intervention. All participants completed the intervention and measurements. The mean (SD) of SAS, CCSMHS-AS score and physical activity was 56.36 (5.63), 19.27 (4.56), 1306.57 (1421.19) (met-min/week). After the intervention, 78.79% of anxiety participants improved from anxiety to “normal”. Participants in all groups showed a statistically and clinically significant improvement after 12-week intervention (p \u3c 0.001). Moreover, such improvement was well-maintained in RT and HE group as there were no significant differences in SAS and CCSMHS-AS at 4-week post-intervention compared to 12 weeks (p \u3e 0.05). However, the SAS score of participants in AE group showed a significant increase during the 4 weeks after intervention (p \u3c 0.05). No significant differences were observed in the effect of AE and RT on anxiety at each time-point (p \u3e 0.05). PA of participants in AE and RT group represented a significant improvement at 4-week post-intervention compared to baseline (p \u3c 0.01). Personalized individual aerobic-exercise and resistance-training combined with health-education resulted in a similar effect on reducing anxiety and improving physical activity, and the effect was better than health education alone. Furthermore, the effect of resistance-training and health-education on reducing anxiety was more stable than that of aerobic-exercise. We recommended 45- to 60-minute home-based individual exercise (including 30- to 40-minute main exercise) with progressive moderate-to-high intensity, 3 times/week for at least 12 weeks for those students with anxiety during the COVID-19 pandemic

Combination of thymosin α1 with conventional therapy improves APC and IL-1R1 levels in children with severe pneumonia

Purpose: To investigate the effect of a combination of thymosin α1 with  conventional regimen on APC and IL-1R1 levels in children with severe pneumonia, and to provide a reference for its clinical treatment.Methods: A total of 96 children with severe pneumonia over a period of two years were divided into control and observation groups (48 cases per  group) by random number table method. The patients consisted of 46 males and 50 females within the age range of 0.1 - 6 years (mean age = 3.0 ± 1.2 years), and mean duration of 13.4 ± 2.2 days). Their acute physiology and chronic health evaluation II (APACHE II) was 20.3 ± 3.2 points. Patients in the control group were placed on conventional treatment programs, while those in the observation group, in addition to the  conventional treatments, received thymosin α1 (subcutaneous injection of thymosin α1 at a dose of 1.5 mg per injection) twice daily for the first 3 days, then once daily until the 7th day, after which the adverse reactions were observed and treated. Pulmonary function indices, and levels of APC, and IL-1R1 were also determined in the patients’ sera before and after the treatment regime.Results: The clinical efficacy of the observation group was significantly better (p < 0.05) than that of control. There were no significant differences (p > 0.05) in the indices of pulmonary function (maximal inspiratory and expiratory pressure, and peak expiratory flow) between the two groups before treatment. However, after treatment they were significantly higher (p < 0.05) in the observation group than in control. There were no significant differences (p > 0.05) in APC and IL-1R1 levels between the two groups before treatment, but after treatment, while the level of APC in the observation group was significantly increased (p < 0.05), the IL-1R1 level was significantly decreased (p < 0.05), when compared to the control group. Both groups showed no obvious adverse reactions during the treatmentregime.Conclusion: Combining thymosin α1 with routine treatment in the  management of children with severe pneumonia can significantly alleviate the symptoms of patients, greatly stimulate recovery of pulmonary function, improve APC and IL-1R1 levels, and prevent inflammation.Keywords: Pneumonia, Thymosin α1, Routine treatment, Inflammatory factors, Pulmonary functio

Machine learning-based on cytotoxic T lymphocyte evasion gene develops a novel signature to predict prognosis and immunotherapy responses for kidney renal clear cell carcinoma patients

BackgroundImmunotherapy resistance has become a difficult point in treating kidney renal clear cell carcinoma (KIRC) patients, mainly because of immune evasion. Currently, there is no effective signature to predict immunotherapy. Therefore, we use machine learning algorithms to construct a signature based on cytotoxic T lymphocyte evasion genes (CTLEGs) to predict the immunotherapy responses of patients, so as to screen patients effective for immunotherapy.MethodsIn public data sets and our in-house cohort, we used 10 machine learning algorithms to screen the optimal model with 89 combinations under the cross-validation framework, and 101 published signatures were collected. The relationship between the CTLEG signature (CTLEGS) and clinical variables was analyzed. We analyzed the role of CTLES in other types of cancer by pan-cancer analysis. The immune cell infiltration and biological characteristics were evaluated. Moreover, the response to immunotherapy and drug sensitivity of different risk groups were investigated. The key gene closely related to the signature was identified by WGCNA. We also conducted cell functional experiments and clinical tissue validation of key gene.ResultsIn public data sets and our in-house cohort, the CTLEGS shows good prediction performance. The CTLEGS can be regard as an independent risk factor for KIRC. Compared with 101 published models, our signature shows considerable superiority. The high-risk group has abundant infiltration of immunosuppressive cells and high expression of T cell depletion markers, which are characterized by immunosuppressive phenotype, minimal benefit from immunotherapy, and resistance to sunitinib and sorafenib. The CTLEGS was also strongly correlated with immunity in pan-cancer. Immunohistochemistry verified that T cell depletion marker LAG3 is highly expressed in high-risk groups in the clinical in-house cohort. The key CTLEG STAT2 can promote the proliferation, migration and invasion of KIRC cell.ConclusionsCTLEGS can accurately predict the prognosis of patients and their response to immunotherapy. It can provide guidance for the precise treatment of KIRC and help clinicians identify patients who may benefit from immunotherapy

Comprehensive analysis reveals dual biological function roles of EpCAM in kidney renal clear cell carcinoma

Background: Epithelial cell adhesion molecule (EpCAM), a well-established marker for circulating tumor cells, plays a crucial role in the complex process of cancer metastasis. The primary objective of this investigation is to study EpCAM expression in pan-cancer and elucidate its significance in the context of kidney renal clear cell carcinoma (KIRC). Methods: Data obtained from the public database was harnessed for the comprehensive assessment of the EpCAM expression levels and prognostic and clinicopathological correlations in thirty-three types of cancer. EpCAM was validated in our own KIRC sequencing and immunohistochemical cohorts. Subsequently, an in-depth exploration was conducted to scrutinize the interrelationship between EpCAM and various facets, including immune cells, immune checkpoints, and chemotherapy drugs. We employed Cox regression analysis to identify prognostic immunomodulators associated with EpCAM, which were subsequently utilized in the development of a prognostic model. The model was validated in our own clinical cohort and public datasets, and compared with 137 published models. The role of EpCAM in KIRC was explored by biological function experiments in vitro. Results: While EpCAM exhibited pronounced overexpression across a wide spectrum of cancer types, a notable reduction was observed in KIRC tissues. As grade increased, EpCAM expression decreased. EpCAM expression decreased in patients without metastasis. EpCAM mRNA and protein levels were used as independent, favorable prognostic factors in patients with KIRC in our own cohort. The expression of EpCAM exhibited strong associations with immune-related pathways, demonstrating an inverse correlation with the majority of immune cell types. Immune checkpoint inhibitors exert better therapeutic effects on patients with low EpCAM expression. In addition, EpCAM can be used as a drug resistance indicator and guide the clinical medication of patients with KIRC. A robust model, which had good predictive accuracy and applicability, showed significant superiority over other models. Importantly, EpCAM played the dual roles of promoting proliferation and resisting metastasis in KIRC. Conclusion: In the context of KIRC, EpCAM assumes a surprising dual role, where it not only facilitates cell proliferation but also exerts resistance against the metastatic process. EpCAM serves as a standalone prognostic marker for patients with KIRC, and related models can also effectively predict prognosis. These discoveries offer novel perspectives on the functional significance of EpCAM in the context of KIRC

Influence of Spatial Resolution on Satellite-Based PM_2.5 Estimation: Implications for Health Assessment

Satellite-based PM2.5 estimation has been widely used to assess health impact associated with PM2.5 exposure and might be affected by spatial resolutions of satellite input data, e.g., aerosol optical depth (AOD). Here, based on Multi-Angle Implementation of Atmospheric Correction (MAIAC) AOD in 2020 over the Yangtze River Delta (YRD) and three PM2.5 retrieval models, i.e., the mixed effects model (ME), the land-use regression model (LUR) and the Random Forest model (RF), we compare these model performances at different spatial resolutions (1, 3, 5 and 10 km). The PM2.5 estimations are further used to investigate the impact of spatial resolution on health assessment. Our cross-validated results show that the model performance is not sensitive to spatial resolution change for the ME and LUR models. By contrast, the RF model can create a more accurate PM2.5 prediction with a finer AOD spatial resolution. Additionally, we find that annual population-weighted mean (PWM) PM2.5 concentration and attributable mortality strongly depend on spatial resolution, with larger values estimated from coarser resolution. Specifically, compared to PWM PM2.5 at 1 km resolution, the estimation at 10 km resolution increases by 7.8%, 22.9%, and 9.7% for ME, LUR, and RF models, respectively. The corresponding increases in mortality are 7.3%, 18.3%, and 8.4%. Our results also show that PWM PM2.5 at 10 km resolution from the three models fails to meet the national air quality standard, whereas the estimations at 1, 3 and 5 km resolutions generally meet the standard. These findings suggest that satellite-based health assessment should consider the spatial resolution effect

A Coding Sequence-Embedded Principle Governs Translational Reading Frame Fidelity

Upon initiation at a start codon, the ribosome must maintain the correct reading frame for hundreds of codons in order to produce functional proteins. While some sequence elements are able to trigger programmed ribosomal frameshifting (PRF), very little is known about how the ribosome normally prevents spontaneous frameshift errors that can have dire consequences if uncorrected. Using high resolution ribosome profiling data sets, we discovered that the translating ribosome uses the 3′ end of 18S rRNA to scan the AUG-like codons after the decoding process. The postdecoding mRNA:rRNA interaction not only contributes to predominant translational pausing, but also provides a retrospective mechanism to safeguard the ribosome in the correct reading frame. Partially eliminating the AUG-like “sticky” codons in the reporter message leads to increased +1 frameshift errors. Remarkably, mutating the highly conserved CAU triplet of 18S rRNA globally changes the codon “stickiness”. Further supporting the role of “sticky” sequences in reading frame maintenance, the codon composition of open reading frames is highly optimized across eukaryotic genomes. These results suggest an important layer of information embedded within the protein-coding sequences that instructs the ribosome to ensure reading frame fidelity during translation

A Pareto front-based approach for constructing composite index of sustainability without weights: A comparative study of implementations

A composite index based on selected indicators is a widely used tool for guiding, monitoring, and evaluating a society’s level of sustainability. However, determining the weight of each indicator is typically a methodologically problematic and highly controversial process. This paper proposes a weightless strategy for constructing composite sustainability indices based on the mathematical optimization concept of Pareto fronts. The core idea is to model each indicator as an individual objective and explore Pareto fronts within the resulting multi-objective solution space. In practice, a total of 24 typical implementations of the strategy were realized to represent four categories with varying parameter settings, i.e., straightforward/hierarchical implementations with/without avoiding basic indicator accuracy issues. Comparative experiments demonstrated that a hierarchical approach utilizing the goodness of variance fit-based (GVF = 0.80) natural breaks to nullify accuracy problems is the most effective implementation. To demonstrate its usefulness, the strategy implemented using this approach was applied to analyze the world’s sustainability by revising the well-known sustainable society index. This study provides a novel paradigm of composite sustainability indices and represents the first assessment of world sustainability using multiple criteria (indicators) without weights

Duality of the SVIL expression in bladder cancer and its correlation with immune infiltration

Abstract SVIL is a member of the villin/gelsolin superfamily and is responsible for encoding supervillin. It has been reported to be closely related to the occurrence and development of various tumors. However, the mechanism of SVIL in bladder cancer has not been reported yet. In this research, we evaluated the relationship between SVIL expression and bladder cancer in public dataset and examined the expression of SVIL in bladder cancer cell lines, tissue microarrays and patients in our cohort. Our work determined that the expression of SVIL in bladder cancer tissue was significantly lower than that in normal tissue. However, in bladder cancer tissues, the high expression of SVIL is significantly associated with poor prognosis. This kind of duality is very novel and has great research value. The expression level of SVIL can well predict the survival time of bladder cancer patients, and is an independent risk factor of bladder cancer patients. The expression of SVIL is also closely related to the immune tumor microenvironment of bladder cancer. Our research provides a basis for personalized therapeutic targets for bladder cancer