An exploration of using technology to engage primary students in Chinese learning after class

This study has focused on using a technology tool (Seesaw) to engage students in after-class learning and improve the teacher-researcher’s teaching practices in Chinese language education. Findings from this research provide insight into aspects influencing the engagement of students during Chinese learning. It appears that some students are willing to review and practise what they already learned after class, while others like to learn extra information at home. The former type of content helps students build confidence in the next Chinese lesson and the latter type of content supports additional learning outside class. It was also found that students have preferences in terms of the form of learning materials. They are not interested in digital pictures, but audio and video material can engage students on behavioural, emotional and cognitive levels. After exploring students’ engagement inside and outside class, it is revealed that classroom engagement and out-of-class engagement can impact each other. Students’ classroom engagement triggered their interest in learning more Chinese after class, while their out-of-class engagement helps them build confidence in learning Chinese in class. Overall, the study helped students’ Chinese learning by offering them extra support for Chinese learning after school. Further studies with other research methods like case study or self-study, as well as studies focusing on other technologies can be developed to further explore how after-class learning helps students’ Chinese learning

Development of a Care Bundle for Stroke Survivors with Psychological Symptoms: Evidence Summary and Delphi Study

Background. Psychological symptoms such as depression and anxiety are quite common among stroke survivors and have great negative impacts on patients. Objective. To develop a care bundle through reviewing and integrating care strategies for psychological symptoms after stroke and then improve the bundle by Delphi study. Methods. A structured search of the literature was performed to identify studies evaluating interventions for stroke patients with psychological symptoms such as depression and anxiety. Two trained researchers screened papers through the titles, abstracts, and full-texts independently. All studies complying with the eligibility criteria were appraised using quality assessment tools. Related interventions with evaluated evidence levels formed the preliminary bundle. Afterward, the Delphi study was carried out to improve the bundle, and the experts were contacted by e-mail. Ten clinical experts specialized in stroke and psychological rehabilitation were recruited. The reliability of experts was represented by the effective response rate and authority coefficient (Cr). The consensus was deemed to be reached when the mean score for item importance is all equal or above 3.50 and the coefficient of variation (CV) is all equal or below 0.20. The Kendall coefficient W test was adopted to evaluate the consensus on agreement among the experts as well. Data analysis was performed using SPSS V.22.0. Results. Through a systematic evidence summary and two-round Delphi study, the items that were given high scores and got consensus by experts were chosen for the bundle. The iDAME bundle consisted of five interventions eventually: maintaining Interaction, tailored Diet, Acupressure, mindfulness Meditation, and physical Exercise. Conclusion. The development of an evidence-based and consensus-based iDAME bundle which integrated western and traditional Chinese medicine intervention was described. Evidence summary made the bundle become scientific, while the Delphi study made it more maneuverable. Based on these results, the bundle would be potentially implemented in stroke patients for their psychological symptoms

PDCD5 Interacts with Tip60 and Functions as a Cooperator in Acetyltransferase Activity and DNA Damage-Induced Apoptosis

Tip60 is a histone acetyltransferase (HAT) involved in the acetyltransferase activity and the cellular response to DNA damage. Here, we show that programmed cell death 5 (PDCD5), a human apoptosis-related protein, binds to Tip60 and enhances the stability of Tip60 protein in unstressed conditions. The binding amount of PDCD5 and Tip60 is significantly increased after UV irradiation. Further, PDCD5 enhances HAT activity of Tip60 and Tip60-dependent histone acetylation in both basal and UV-induced levels. We also find that PDCD5 increases Tip60-dependent K120 acetylation of p53 and participates in the p53-dependent expression of apoptosis-related genes, such as Bax. Moreover, we demonstrate the biological significance of the PDCD5-Tip60 interaction; that is, they function in cooperation to accelerate DNA damage-induced apoptosis and knockdown of PDCD5 or Tip60 impairs their apoptosis-accelerating activity, mutually. Consistent with this, PDCD5 levels increase significantly on DNA damage in U2OS cells, as does Tip60. Together, our findings indicate that PDCD5 may play a dual role in the Tip60 pathway. Specifically, under normal growth conditions, PDCD5 contributes to maintaining a basal pool of Tip60 and its HAT activity. After DNA damage, PDCD5 functions as a Tip60 coactivator to promote apoptosis

Cosine Model Watermarking against Ensemble Distillation

Many model watermarking methods have been developed to prevent valuable deployed commercial models from being stealthily stolen by model distillations. However, watermarks produced by most existing model watermarking methods can be easily evaded by ensemble distillation, because averaging the outputs of multiple ensembled models can significantly reduce or even erase the watermarks. In this paper, we focus on tackling the challenging task of defending against ensemble distillation. We propose a novel watermarking technique named CosWM to achieve outstanding model watermarking performance against ensemble distillation. CosWM is not only elegant in design, but also comes with desirable theoretical guarantees. Our extensive experiments on public data sets demonstrate the excellent performance of CosWM and its advantages over the state-of-the-art baselines

The Rain-Induced Urban Waterlogging Risk and Its Evaluation: A Case Study in the Central City of Shanghai

Waterlogging induced by rain in urban areas has a potential risk impact on property and safety. This paper focuses on the impact of rain on waterlogging and evaluates the waterlogging risk in the central city of Shanghai. A simplified waterlogging depth model is developed in different areas with different drainage capacity and rainfall in consumption of simplifying the effect of complex terrain characteristics and hydrological situation. Based on urban waterlogging depth and its classification collection, a Rain-induced Urban Waterlogging Risk Model (RUWRM) is further established to evaluate waterlogging risk in the central city. The results show that waterlogging depth is closely linked with rainfall and drainage, with a linear relationship between them. More rainfall leads to higher waterlogging risk, especially in the central city with imperfect drainage facilities. Rain-induced urban waterlogging risk model can rapidly gives the waterlogging rank caused by rainfall with a clear classification collection. The results of waterlogging risk prediction indicate that it is confident to get the urban waterlogging risk rank well and truly in advance with more accurate rainfall prediction. This general study is a contribution that allows the public, policy makers and relevant departments of urban operation to assess the appropriate management to reduce traffic intensity and personal safety or strategy to lead to less waterlogging risk

Psychometric properties of patient-reported outcome measures of self-management for cancer survivors: a systematic review protocol using COSMIN methodology

Introduction Self-management is an important strategy for cancer survivors. Evaluating self-management is essential for planning nursing interventions that promote self-management and for measuring the contribution of nursing to health outcomes. Many patient-reported outcome measures (PROMs) have been designed and used to assess self-management in cancer survivors. However, it is unclear which PROM has the best reliability and validity. Therefore, the goal is to systematically review the psychometric properties of existing self-management PROMs and determine which PROM is best for cancer survivors.Methods and analysis This systematic review will be conducted according to the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) guidelines for systematic reviews of PROMs. Ten electronic literature databases (PubMed, EMBASE and so on) and two websites for PROMs will be searched from inception to 1 March 2020. Studies testing the psychometric properties of PROMs assessing self-management for cancer survivors, published in either English or Chinese, will be included. Two independent reviewers determined the eligibility of the studies and will independently extract the data. Risk of bias will be assessed using the COSMIN risk-of-bias checklist, and the quality of the results will be assessed using specific COSMIN quality criteria.Ethics and dissemination It is not necessary to obtain ethical approval for this systematic review protocol. The results will be published in a peer-reviewed journal and presented at a relevant conference.PROSPERO registration number CRD42020149120

Facile synthesis of magnetic macroporous polymer/MOF composites as separable catalysts

Design and synthesis of magnetic macroporous metal�organic frameworks (MOFs) have been of significant interest, in order to improve the catalytic efficiency and reusability. In this work, we prepared magnetic macroporous MOF composites based on as-prepared magnetic macroporous polyacrylamides (MMPam). Different MOFs with or without unsaturated coordinative metal sites, including HKUST-1, MOF-2, UiO-66, and Fe-MIL-101(-NH2) were grown on and within the MMPam matrices. The composites showed hierarchical porosity with both micro- and macropores, which facilitated substrate diffusion to increase the conversion for isomerization of α-pinene oxide from 62% in the case of pure HKUST-1 microparticles to 90% in the case of HKUST-1@MMPam. The magnetic property also endowed the composites with easy recovery and reasonable reusability.</p

An Empirical Study on Uncertainty Identification in Social Media Context

Uncertainty text detection is important to many social-media-based applications since more and more users utilize social media platforms (e.g., Twitter, Facebook, etc.) as information source to produce or derive interpretations based on them. However, existing uncertainty cues are ineffective in social media context because of its specific characteristics. In this paper, we propose a variant of annotation scheme for uncertainty identification and construct the first uncertainty corpus based on tweets. We then conduct experiments on the generated tweets corpus to study the effectiveness of different types of features for uncertainty text identification.

First-generation EGFR tyrosine kinase inhibitor therapy in 106 patients with compound EGFR-mutated lung cancer: a single institution’s clinical practice experience

Abstract Background The antitumour efficacy of tyrosine kinase inhibitors (TKIs) in lung cancer patients with compound epidermal growth factor receptor (EGFR) mutations has not been resolved. Our study summarizes a single institutional experience of first-generation TKI therapy for lung cancers with compound EGFR mutations. Methods A total of 106 consecutive patients with tumours bearing compound EGFR mutations were identified between January 2012 and May 2016; all patients received first-generation TKI therapy. Deletions in exon 19 and the L858R point mutation in exon 21 were considered common mutations; T790M was considered separately because of its association with TKIs resistances. Any other mutation was defined as a rare mutation. Patients were divided as follows: double common mutations (group A); common plus T790M mutations (group B); common plus rare mutations (group C); double rare mutations (group D); and rare plus T790M mutations (group E). A separate group of 115 consecutive patients with a single common mutation was created for comparative analysis (group F). Results The frequency of patients with compound EGFR was 2.9% (114/3925) and their response rate to first-generation TKIs was 50.9%, which was not significantly different from group F (67.0%, P = 0.088). The progression-free survival (PFS) of the 106 patients receiving TKI therapy was worse than that of group F (median, 9.1 vs. 13.0 months, respectively; P < 0.001). The PFS of the compound mutation group was shorter than that of the single common mutation group (median, 10.1 months in group A, P = 0.240; 9.1 months in group B, P < 0.001; 9.6 months in group C, P = 0.010; 6.5 months in group D, P = 0.048; 5.4 months in group E, P = 0.017). Patients with a co-occurring mutation in exon 20 (excluding T790M) exhibited significantly worse PFS than the patients with other compound mutations or with a single common mutation (median, 6.5 vs. 9.1 vs. 13.0 months, respectively, P = 0.002). Conclusions There was significant heterogeneity among the compound EGFR mutations and their response to first-generation TKIs. Individualized treatment in clinical practice should be considered for each case