Poor university students are a special group. Social development provides many positive factors for poor university students’ personality and psychological development, but negative factors are also ...accompanied by them, which affect the psychological health of poor university students. University students are in a period of rapid physical and mental development, and it is an important issue that colleges and universities need to solve psychological well-being education. We hope to find out the aspects that can be studied in the irregularity of various factors that affect college students’ mental health. BP neural network is a typical model of artificial neural network. Based on the BP algorithm and the fuzzy comprehensive evaluation of the psychological well-being prediction system for poor university students, this paper systematically summarizes the concept of psychological well-being, the factors that affect psychological well-being, and the related research done by predecessors on psychological well-being. Using the international psychological well-being scale SCL-90 to comprehensively consider the psychological well-being status of poor university students and select the optimized BP algorithm to establish a psychological well-being prediction model, and implement it and compare it with other models to reflect its superiority. Data were collected and analyzed by means of a questionnaire. The regression model was used to analyze the relationship between mindfulness, rumination and psychological well-being. The mediation index fitted by the model reached 0.9. The model can reflect the real situation of the data, that is, rumination plays a partial mediating role in the effect of mindfulness on psychological well-being. The introduction of this psychological prediction model into the psychological well-being education of poor university students not only helps to improve the educational concept and expand the educational approach, but also helps to achieve the goal of psychological well-being education for poor university students, thereby promoting the improvement of the psychological quality of poor university students.
The pilot scheme of low-carbon cities was first introduced in 2006 in China and now three rounds of over a hundred cities have been listed as pilots. There have been studies arguing that the policy ...has significantly reduced carbon emission in the pilot cities. However, with greater policy leverage and resource input, it is not difficult for the pilot cities to reduce their overall carbon emissions. The more important question is: Do the low-carbon cities reduce carbon emission efficiently considering various input and output indicators? Does the policy really make a difference by reducing carbon emission at the city level from a cost-effectiveness perspective? This research addresses the gap by introducing the Malmquist-Luenberger productivity index in DEA and the quasi-experimental method of Difference in Difference with Propensity Score Matching (PSM-DID) to evaluate the impacts of the low-carbon city pilot scheme in China. Beyond the results that the policy did improve the overall carbon emission efficiency of pilot cities, the article generates several intriguing findings: (1) Although existing researches argue that the policy helps reduce the carbon emission of pilot cities immediately, our findings suggest that it takes longer time to improve the carbon emission efficiency; (2) The proportion of secondary industry and energy intensity of the cities are negatively related to the carbon emission efficiency while capital-labor ratio and the investment in research work the other way around; (3) The policy might further deepen the urban divide between the eastern and western regions since it is more effective on eastern pilot cities; and (4) The mechanisms through which the policy takes effects have also been discussed.
Computationally efficient and scalable models that describe droop-controlled inverter dynamics are key to modeling, analysis, and control in islanded microgrids. Typical models developed from first ...principles in this domain describe detailed dynamics of the power electronics inverters, as well as the network interactions. Consequently, these models are very involved; they offer limited analytical insights and are computationally expensive when applied to investigate the dynamics of large microgrids with many inverters. This calls for the development of reduced-order models that capture the relevant dynamics of higher order models with a lower dimensional state space while not compromising modeling fidelity. To this end, this paper proposes model-reduction methods based on singular perturbation and Kron reduction to reduce large-signal dynamic models of inverter-based islanded microgrids in temporal and spatial aspects, respectively. The reduced-order models are tested in a modified IEEE 37-bus system and verified to accurately describe the original dynamics with lower computational burden. In addition, we demonstrate that Kron reduction isolates the mutual inverter interactions and the equivalent loads that the inverters have to support in the microgrid - this aspect is leveraged in the systematic selection of droop coefficients to minimize power losses and voltage deviations.
Abstract
Motivation
In biomedical research, chemical is an important class of entities, and chemical named entity recognition (NER) is an important task in the field of biomedical information ...extraction. However, most popular chemical NER methods are based on traditional machine learning and their performances are heavily dependent on the feature engineering. Moreover, these methods are sentence-level ones which have the tagging inconsistency problem.
Results
In this paper, we propose a neural network approach, i.e. attention-based bidirectional Long Short-Term Memory with a conditional random field layer (Att-BiLSTM-CRF), to document-level chemical NER. The approach leverages document-level global information obtained by attention mechanism to enforce tagging consistency across multiple instances of the same token in a document. It achieves better performances with little feature engineering than other state-of-the-art methods on the BioCreative IV chemical compound and drug name recognition (CHEMDNER) corpus and the BioCreative V chemical-disease relation (CDR) task corpus (the F-scores of 91.14 and 92.57%, respectively).
Availability and implementation
Data and code are available at https://github.com/lingluodlut/Att-ChemdNER.
Supplementary information
Supplementary data are available at Bioinformatics online.
Detecting drug-drug interaction (DDI) has become a vital part of public health safety. Therefore, using text mining techniques to extract DDIs from biomedical literature has received great ...attentions. However, this research is still at an early stage and its performance has much room to improve.
In this article, we present a syntax convolutional neural network (SCNN) based DDI extraction method. In this method, a novel word embedding, syntax word embedding, is proposed to employ the syntactic information of a sentence. Then the position and part of speech features are introduced to extend the embedding of each word. Later, auto-encoder is introduced to encode the traditional bag-of-words feature (sparse 0-1 vector) as the dense real value vector. Finally, a combination of embedding-based convolutional features and traditional features are fed to the softmax classifier to extract DDIs from biomedical literature. Experimental results on the DDIExtraction 2013 corpus show that SCNN obtains a better performance (an F-score of 0.686) than other state-of-the-art methods.
The source code is available for academic use at http://202.118.75.18:8080/DDI/SCNN-DDI.zip CONTACT: yangzh@dlut.edu.cnSupplementary information: Supplementary data are available at Bioinformatics online.
Patients with locoregionally advanced nasopharyngeal carcinoma have a high risk of disease relapse, despite a high proportion of patients attaining complete clinical remission after receiving ...standard-of-care treatment (ie, definitive concurrent chemoradiotherapy with or without induction chemotherapy). Additional adjuvant therapies are needed to further reduce the risk of recurrence and death. However, the benefit of adjuvant chemotherapy for nasopharyngeal carcinoma remains controversial, highlighting the need for more effective adjuvant treatment options.
This multicentre, open-label, parallel-group, randomised, controlled, phase 3 trial was done at 14 hospitals in China. Patients (aged 18–65 years) with histologically confirmed, high-risk locoregionally advanced nasopharyngeal carcinoma (stage III–IVA, excluding T3–4N0 and T3N1 disease), no locoregional disease or distant metastasis after definitive chemoradiotherapy, an Eastern Cooperative Oncology Group performance status of 0 or 1, sufficient haematological, renal, and hepatic function, and who had received their final radiotherapy dose 12–16 weeks before randomisation, were randomly assigned (1:1) to receive either oral metronomic capecitabine (650 mg/m2 body surface area twice daily for 1 year; metronomic capecitabine group) or observation (standard therapy group). Randomisation was done with a computer-generated sequence (block size of four), stratified by trial centre and receipt of induction chemotherapy (yes or no). The primary endpoint was failure-free survival, defined as the time from randomisation to disease recurrence (distant metastasis or locoregional recurrence) or death due to any cause, in the intention-to-treat population. Safety was assessed in all patients who received at least one dose of capecitabine or who had commenced observation. This trial is registered with ClinicalTrials.gov, NCT02958111.
Between Jan 25, 2017, and Oct 25, 2018, 675 patients were screened, of whom 406 were enrolled and randomly assigned to the metronomic capecitabine group (n=204) or to the standard therapy group (n=202). After a median follow-up of 38 months (IQR 33–42), there were 29 (14%) events of recurrence or death in the metronomic capecitabine group and 53 (26%) events of recurrence or death in the standard therapy group. Failure-free survival at 3 years was significantly higher in the metronomic capecitabine group (85·3% 95% CI 80·4–90·6) than in the standard therapy group (75·7% 69·9–81·9), with a stratified hazard ratio of 0·50 (95% CI 0·32–0·79; p=0·0023). Grade 3 adverse events were reported in 35 (17%) of 201 patients in the metronomic capecitabine group and in 11 (6%) of 200 patients in the standard therapy group; hand-foot syndrome was the most common adverse event related to capecitabine (18 9% patients had grade 3 hand-foot syndrome). One (<1%) patient in the metronomic capecitabine group had grade 4 neutropenia. No treatment-related deaths were reported in either group.
The addition of metronomic adjuvant capecitabine to chemoradiotherapy significantly improved failure-free survival in patients with high-risk locoregionally advanced nasopharyngeal carcinoma, with a manageable safety profile. These results support a potential role for metronomic chemotherapy as an adjuvant therapy in the treatment of nasopharyngeal carcinoma.
The National Natural Science Foundation of China, the Key-Area Research and Development Program of Guangdong Province, the Natural Science Foundation of Guangdong Province, the Innovation Team Development Plan of the Ministry of Education, and the Overseas Expertise Introduction Project for Discipline Innovation.
For the Chinese translation of the abstract see Supplementary Materials section.
Cleavage of transfer (t)RNA and ribosomal (r)RNA are critical and conserved steps of translational control for cells to overcome varied environmental stresses. However, enzymes that are responsible ...for this event have not been fully identified in high eukaryotes. Here, we report a mammalian tRNA/rRNA-targeting endoribonuclease: SLFN13, a member of the Schlafen family. Structural study reveals a unique pseudo-dimeric U-pillow-shaped architecture of the SLFN13 N'-domain that may clamp base-paired RNAs. SLFN13 is able to digest tRNAs and rRNAs in vitro, and the endonucleolytic cleavage dissevers 11 nucleotides from the 3'-terminus of tRNA at the acceptor stem. The cytoplasmically localised SLFN13 inhibits protein synthesis in 293T cells. Moreover, SLFN13 restricts HIV replication in a nucleolytic activity-dependent manner. According to these observations, we term SLFN13 RNase S13. Our study provides insights into the modulation of translational machinery in high eukaryotes, and sheds light on the functional mechanisms of the Schlafen family.
This paper reviews current remediation technologies that use chelating agents for the mobilization and removal of potentially toxic metals from contaminated soils. These processes can be done
in situ ...as enhanced phytoextraction, chelant enhanced electrokinetic extraction and soil flushing, or
ex situ as the extraction of soil slurry and soil heap/column leaching. Current proposals on how to treat and recycle waste washing solutions after soil is washed are discussed. The major controlling factors in phytoextraction and possible strategies for reducing the leaching of metals associated with the application of chelants are also reviewed. Finally, the possible impact of abiotic and biotic soil factors on the toxicity of metals left after the washing of soil and enhanced phytoextraction are briefly addressed.
The use of synthetic chelants for soil washing and enhanced phytoextraction by plants has been well studied for the remediation of metal-contaminated soils in the last two decades.
Aim
This study aimed to investigate the influence of circular RNA PVT1 (circ‐PVT1) on epithelial ovarian cancer (EOC) cell proliferation and apoptosis, more importantly, to identify the target ...microRNAs (miRNA) of circ‐PVT1 in EOC.
Methods
Circ‐PVT1 expression in EOC cell lines and nonmalignant control cells was detected. Cell proliferation, apoptosis and candidate target miRNA (miR‐149, miR‐183 and miR‐194) expressions were detected in circ‐PVT1 overexpression treated CAOV3 cells and circ‐PVT1 knock‐down treated SKOV3 cells. Furthermore, miR‐149 overexpression and miR‐149 knock‐down plasmids were transfected into circ‐PVT1 dysregulated CAOV3 cells and SKOV3 cells, respectively, and cell proliferation as well as apoptosis were detected.
Results
Circ‐PVT1 expression was increased in human EOC cell lines (CAOV3, SKOV3, SNU119 and OVCAR3) compared to human normal ovary surface epithelial cell line (HOSEpiC). In SKOV3 cells, cell proliferation was reduced at 48 and 72 h but cell apoptosis rate was increased at 48 h by circ‐PVT1 knock‐down. In CAOV3 cells, cell proliferation was increased at 48 and 72 h but cell apoptosis rate was decreased at 48 h by circ‐PVT1 overexpression. Besides, circ‐PVT1 negatively regulated miR‐149 but not miR‐183 or miR‐194 in SKOV3 and CAOV3 cells. Rescue experiments showed that miR‐149 knock‐down increased cell proliferation but decreased apoptosis in circ‐PVT1 knock‐down treated SKOV3 cells, while miR‐149 overexpression reduced cell proliferation but enhanced apoptosis in circ‐PVT1 overexpression treated CAOV3 cells.
Conclusion
Circ‐PVT1 enhances cell proliferation but inhibits cell apoptosis through sponging miR‐149 in EOC cells, which suggests that circ‐PVT1 may serve as a treatment target in EOC.
We use a holographic model of quantum chromodynamics to extract the equation of state (EoS) for the cold nuclear matter of moderate baryon density. This model is based on the Sakai-Sugimoto model in ...the deconfined Witten's geometry with the additional point-like D4-brane instanton configuration as the holographic baryons. Our EoS takes the following doubly-polytropic form: ϵ=2.629A−0.192p1.192+0.131A0.544p0.456 with A a tunable parameter of order 10−1, where ϵ and p are the energy density and pressure, respectively. The sound speed satisfies the causality constraint and breaks the sound barrier. We solve the Tolman-Oppenheimer-Volkoff equations for the compact stars and obtain the reasonable compactness for the proper choices of A. Based on these configurations we further calculate the tidal deformability of the single and binary stars. We find our results agree with the inferred values of LIGO/Virgo data analysis for GW170817.
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