Search

Purpose This study aims to examine whether a firm's demand for high-quality auditors is influenced by multiple large shareholders (MLS). As one type of ownership structure, MLS have gained popularity in China recently and have different types of large shareholders, including large institutional shareholder, large foreign shareholder and large state shareholder. The authors also examine whether different types of MLS have heterogeneous impacts on appointing high-quality auditors. Design/methodology/approach With a sample of 27,131 firm-year observations from Chinese public companies from 2003 to 2018, the authors use multivariate regressions to examine the effect of MLS on auditor choice. Heckman two-stage analysis, a firm fixed effects model, propensity score matching and difference-in-differences test are used as robustness checks. Findings This paper finds that the presence and power of MLS increase the likelihood of appointing high-quality auditors. With regard to the types of MLS, large institutional shareholders and foreign shareholders have significant positive effects on appointing high-quality auditors, while the presence of state-owned large shareholders has no effect on auditor choice. Further analyses reveal that the positive effect of MLS on high-quality auditor choice is more pronounced in firms with severe agency problems and information asymmetry. Taken together, these results suggest that MLS play a monitoring role by demanding high-quality auditors. Originality/value This paper contributes to the literature on the determinants of auditor choice. While prior studies primarily focus on the impact of concentrated ownership structure, corporate governance and the pressure from stakeholders on auditor choice, this paper complements the literature by providing evidence from the heterogeneous effects of different types MLS. This paper also extends the literature on the consequences of MLS from the perspective of auditor choice.

Kidney renal clear cell carcinoma (KIRC) is a common and invasive subtype of renal tumors, which has poor prognosis and high mortality. MND1 is a meiosis specific protein that participates in the progress of diverse cancers. Nonetheless, its function in KIRC was unclear. Here, TIMER, TCGA, GEO databases and IHC found MND1 expression is upregulated in KIRC, leading to poor overall survival, and MND1 can serve as an independent prognostic factor. Moreover, enrichment analysis revealed the functional relationship between MND1 and cell cycle, immune infiltration. EdU and transwell assays confirmed that MND1 knockdown surely prohibited the proliferation, migration, and invasion of KIRC cells. Additionally, immune analysis showed that MND1 displayed a strong correlation with various immune cells. Interference with MND1 significantly reduces the expression of chemokines. TCGA and GEO databases indicated that MND1 expression is significantly related to two m6A modification related gene (METTL14, IGF2BP3). Finally, the drug sensitivity analysis revealed 7 potentially sensitive drugs for KIRC patients with high MND1 expression. In conclusion, MND1 can be used as a prognostic biomarker for KIRC and provides clues regarding cell cycle, immune infiltrates and m6A. Sensitive drugs may be an effective treatment strategy for KIRC patients with high expression of MND1.

The Rome IV criteria eliminated abdominal discomfort for irritable bowel syndrome (IBS), which was previously included in Rome III. There are questions as to whether IBS patients with abdominal discomfort (seen in Rome III but not Rome IV) are different from those with abdominal pain (Rome IV).To compare bowel symptoms and psychosocial features in IBS patients diagnosed with Rome III criteria with abdominal discomfort, abdominal pain, and paindiscomfort.We studied IBS patients meeting Rome III criteria. We administered the IBS symptom questionnaire, psychological status, and IBS quality of life. Patients were classified according to the predominant abdominal symptom associated with defecation into an only pain group, only discomfort group, and paindiscomfort group. We compared bowel symptoms, extraintestinal symptoms, IBS quality of life, psychological status and healthcare-seeking behaviors, and efficacy among the three groups. Finally, we tested risk factors for symptom reporting in IBS patients.Of the 367 Rome III IBS patients enrolled, 33.8% (124 cases) failed to meet Rome IV criteria for an IBS diagnosis. There were no meaningful differences between the pain group (IBS patients with abdominal discomfort have similar bowel symptoms and psychosocial features to those with abdominal pain. IBS symptoms manifesting abdominal pain or discomfort may primarily be due to different sensation and reporting experience.

This study aimed to clarify the effect of early glucocorticoid (GC) application on achieving minimal manifestation (MM) status or better in the treatment of myasthenia gravis (MG) in the early clinical phase. A retrospective analysis was performed on 366 patients with MG who had received immunotherapy in the Henan Institute of Medical and Pharmaceutical Sciences Myasthenia Gravis Biobank from January 2015 to September 2022. Patients were divided into two groups: the early mono-GC group (treated with GC within 6 months of MG onset) and delayed mono-GC group. Kaplan-Meier analysis showed that the early mono-GC group achieved MM status earlier and more frequently (Log-rank test, P = 0.0052; hazard ratio [HR], 1.59; P = 0.007). The early mono-GC group had a lower maintenance oral GC dose than delayed mono-GC group. In multivariate Cox regression analysis, early mono-GC (HR, 0.68; P = 0.026), early-onset MG (EOMG) (HR, 0.53; P = 0.004), ocular MG (OMG) (HR, 0.58; P = 0.002), and Myasthenia Gravis Foundation of America (MGFA) IV-V typing (HR, 2.51; P = 0.035) were associated with MM. In conclusion, EOMG, OMG, and low MGFA typing were positive predictors of treatment goals. Early intervention with GC leads to better long-term outcomes and reduces the necessary maintenance dose of oral GC for patients with MG.

Background: Acute pancreatitis in pregnancy (APIP) with organ failure (OF) is a rare but serious disease. Here, we describe the primary characteristics associated with APIP, and explore potential predictors for early recognition of OF among the patients. Methods: A total of 3154 patients with AP from January 2018 to December 2021 were retrospectively reviewed. After screening, we enrolled 49 patients with APIP and 184 non-pregnant AP patients. Clinical characteristics and blood biochemical information were assessed using IBM SPSS 26.0 software and the rms package in R. Results: The most primary cause of APIP was hypertriglyceridemia (59.2%), while respiratory failure (46.9%) was the main type in all OF patients. Age, hemoglobin (Hb), hematocrit (HCT), aminotransferase (ALT), creatinine (Cr), blood urea nitrogen (BUN), albumin (ALB) and sodium ion (Na+) in the pregnant group were lower than in the non-pregnant group (PConclusions: APIP was highly correlated with hypertriglyceridemia and respiratory failure. Higher BMI was a distinguishing feature of OF-APIP patients. The data indicate that close monitoring of BUN, TG and TC levels is essential for early prevention of OF in APIP patients.

Ground-borne vibration caused by railway traffic has been a research concern due to its possible side effects on nearby residences. The force density and line-source mobility can effectively characterize the generation and transmission of train-induced vibrations, respectively. This research proposed a frequency-domain method for identifying the line-source mobility and force density using measured vibrations at the ground surface. It was achieved by minimizing the difference of force densities formulated using measurements at two different locations, in which the genetic algorithm was adopted for solving the optimization problem. The proposed method was later applied to and validated by a case study at Shenzhen Metro in China, where a total of seven fixed-point hammer impacts with 3.3 m equal intervals were used to represent the vibration excitation from one vehicle. The fixed-point loads' assumption was validated by comparing the identifications with the predictions based on the train-track coupled dynamic model and theoretical derivation. Causes for different dominant frequencies can be traced by separating the dynamic characteristics of vibration excitation and transmission. It was found in the case study that at a location 3 m away from the track, the peak at 50 Hz was caused by excitations, while that at 63 Hz was attributed to transmission efficiency related to the soil properties. Finally, the identified line-source transfer mobility and force density levels were applied to the forward problem of making predictions. The predicted ground vibrations at different locations were compared to field measurements, with good agreement, which experimentally validated the identification method. The identification results of the case study can be employed by similar railway systems as a good reference.

Phyllostachys incarnata Wen, 1982 is one of the important material and edible bamboo specie of high quality in China. We reported the complete chloroplast(cp) genome of P. incarnata in this study. The cp genome of P. incarnata (GenBank accession number: OL457160) was a typical tetrad structure with a full length of 139,689 bp, comprising a pair of inverted repeated (IR) regions (21,798 bp) separated by a large single-copy (LSC) region (83,221 bp) and a small single-copy (SSC) region (12,872 bp). And the cp genome contained 136 genes, including 90 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. Phylogenetic analysis based on 19 cp genomes suggested that P. incarnata was relatively close to P. glauca among the species analyzed.

Hepatocellular carcinoma (HCC) is a common tumor across the globe with a high mortality rate. ZSCAN20 is a ZNF transcription factor, a key determinant of gene expression. Nonetheless, the mechanism of ZSCAN20 as a potential clinical biomarker and therapeutic target for HCC is not understood. Here, TIMER, TCGA, ICGC databases and immunohistochemical (IHC) and Western Blot found ZSCAN20 mRNA and protein levels were upregulated. Additionally, Kaplan-Meier Plotter, GEPIA and TCGA databases showed high ZSCAN20 expression was related to the short survival time of HCC patients. Multivariate Cox analysis exposed that ZSCAN20 can act as an independent prognostic factor. We observed methylation level of ZSCAN20 was associated with the clinicopathological characteristics and prognosis of HCC patients through UALCAN. Furthermore, enrichment examination exposed functional association between ZSCAN20 and cell cycle, immune infiltration. Functional experiments showed that interference with ZSCAN20 significantly reduced the invasion, migration and proliferation abilities of HCC cells. An immune infiltration analysis showed that ZSCAN20 was associated with immune cells, particularly T cells. The expression of ZSCAN20 was correlated with poor prognosis in the Regulatory T-cell. And Real-Time RT-PCR analysis found interference with ZSCAN20 significantly reduced the expression of some chemokines. Finally, the TCGA and ICGC data analysis suggested that the ZSCAN20 expression was greatly related to m6A modifier related genes. In conclusion, ZSCAN20 can serve as a prognostic biomarker for HCC and provide clues about cell cycle, immune infiltration, and m6A modification.

Deubiquitinating enzyme OTU domain‐containing ubiquitin aldehyde‐binding proteins 1 (OTUB1) has been shown to have an essential role in multiple carcinomas. However, the function of OTUB1 in papillary thyroid cancer (PTC) and the underlying mechanisms regulating PTC cells proliferation remain poorly understood. In this study, OTUB1 was significantly upregulated in papillary thyroid carcinoma tissues and cells. Through in vitro and in vivo experiments, knockdown of OTUB1 suppressed PTC cells growth whereas OTUB1 overexpression enhanced the proliferation ability of PTC cells. Moreover, the eyes absent homologue 1 (EYA1) was recognized as a potential target of OTUB1 through mass spectrometry analysis, and we further verified that EYA1 protein level was positively correlated with OTUB1 expression in PTC cells and clinical samples. Mechanistically, OTUB1 could interact with EYA1 directly and deubiquitinate EYA1 to stabilize it. At last, EYA1 was found to play an essential role in OTUB1‐derived PTC cells growth. Overall, our investigation reveals that OTUB1 is a previously unrecognized oncogenic factor in PTC cells proliferation and suggests that OTUB1 might be a novel therapeutic target in PTC.

This study examines the association between firm executives’ ex-military backgrounds and audit fees. We find that auditors tend to charge lower fees from clients with ex-military executives than cl...

We examine the association between social trust and executives' excess perk consumption. Prior studies suggest that excess perks are the result of agency problem that managers benefit themselves at the expense of shareholders. We hypothesize that social trust can discipline managers' opportunistic behavior and facilitate investors' monitoring, and therefore, constrain the level of excess perks. Using a sample of Chinese listed firms, we find that social trust is negatively associated with management's excess perks, consistent with our prediction. Our main finding is robust to the instrumental variable approach that mitigates the potential endogeneity concerns. To explore the potential mechanisms through which social trust affects excess perks, we first show that both the social trust status of firms' locations and the social trust status of CEOs' hometowns can affect excess perks. Additional cross-sectional analyses reveal that the negative association between social trust and excess perks is more pronounced in firms with poorer corporate governance and firms with political connections. Finally, we find some evidence that firms located in the high social trust areas use more cash compensation and options granting to keep motivating their managers. This study provides an informal institutional perspective for both policy makers and shareholders to take social trust into account to enhance corporate governance.

We examine whether and how CEO foreign experience affects firm’s green innovation. Using a sample of Chinese public companies and hand-collected CEO foreign experience data, we document a positive association between CEO foreign experience and corporate green innovation. Furthermore, consistent with the view that CEOs with foreign experience would play a more significant role when provided with more resources, we find that the positive relationship is more pronounced in less financially constrained firms, in state-owned enterprises, and in less competitive industries. Additional analyses indicate that enhanced environmental ethics and general competency are two potential mechanisms through which CEO foreign experience affects corporate green innovation. Finally, we find that CEO foreign experience is positively related to green innovation quality and internationalization. Collectively, these findings suggest that CEO foreign experience is a significant factor for corporate green innovation in emerging markets.

Hepatocellular carcinoma (HCC) is one of the most deadly and common malignant cancers around the world, and the prognosis of HCC patients is not optimistic. ZNF320 belongs to Krüppel like zinc finger gene family. However, no studies have focused on the influence of ZNF320 in HCC. We first analyzed ZNF320 expression in HCC by using data from TCGA and ICGC, then conducted a joint analysis with TIMER and UALCAN, and validated by immunohistochemistry in clinical HCC samples. Then we applied UALCAN to explore the correlation between ZNF320 expression and clinicopathological characteristics. Consequently, using Kaplan-Meier Plotter analysis and the Cox regression, we can predict the prognostic value of ZNF320 for HCC patients. Next, the analysis by GO, KEGG, and GSEA revealed that ZNF320 was significantly correlated to cell cycle and immunity. Finally, TIMER and GEPIA analysis verified that ZNF320 expression is closely related to tumor infiltrating immune cells (TIIC), including B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells. The analysis of the TCGA and ICGC data sets revealed that ZNF320 expression was significantly correlated with m6A related genes (RBMX, YTHDF1, and METTL3). In conclusion, ZNF320 may be a prognostic biomarker related to immunity as a candidate for liver cancer.

To enhance the precision of rolling bearing fault diagnosis, a new rolling bearing fault diagnosis method based on improved local mean decomposition (LMD), compound multi-scale weighted permutation entropy (CMWPE), and support vector machine (SVM) is proposed. Firstly, the improved LMD algorithm is adopted to accomplish the adaptive decomposition of rolling bearing vibration signals. By computing the Pearson correlation coefficients between each component and the initial signal, the components with higher correlation are selected for signal reconstruction to accomplish the mission of noise reduction. Then, a feature extraction approach based on CMWPE is employed to extract corresponding feature parameters from the de-noised signals and construct a multi-scale nonlinear fault feature set with good stability and high recognition. Finally, the high-dimensional fault feature set is input into the SVM to achieve rolling bearing fault diagnosis. The experimental results reveal that the proposed approach can precisely distinguish various fault types of rolling bearings under the same fault degrees. For inner ring failures of different fault degrees, this method also has good identification correctness. Compared with several typical fault diagnosis approaches, the proposed method has a more trustworthy diagnosis result.

Objective: : The objective of this study was to evaluate the impact of single nucleotide polymorphisms (SNPs) in triggering receptor expressed on the myeloid cells 2 protein (TREM2) gene and their interaction with environmental factors and haplotypes on late-onset Alzheimer’s disease (LOAD). Methods: DNA was extracted from the whole blood of the participants and genotyped using PCR and followed by restriction fragment length polymorphism. The Hardy-Weinberg equilibrium test was used in the control group. Multivariate logistic regression analysis was used to determine the relationship between the 4 SNPs of the TREM2 gene and the risk of LOAD. Generalized multifactor dimensionality reduction was used to test the best interaction combination between SNPs and environmental factors. Results: Logistic regression analysis showed that the T allele of rs75932628 and the T allele of rs2234253 were independently associated with increased risk of LOAD, and adjusted odds ratios (ORs) were 1.81 (1.271–2.35) and 1.59 (1.15–2.03), respectively. However, there was no significant association with LOAD for rs142232675 and rs143332484. We found a best model significantly associated with LOAD risk that consisted of rs75932628 and smoking, which scored 10/10 for both the sign test and cross-validation consistency (p = 0.012). Stratified analysis indicated that current smokers with rs75932628-CT/TT genotype have the highest LOAD risk compared to never smokers with rs75932628 – CC genotype, OR (95% confidence interval) = 2.73 (1.72–3.79). Haplotypes of rs75932628 and rs2234253 were analyzed using the SHEsis online software. However, no haplotype was found to be significantly associated with the risk of LOAD. Conclusions: The T allele of rs75932628 and the T allele of rs2234253 and interaction between rs75932628 and smoking were all correlated with increased risk of LOAD.

The health assessment of the valve clearance is a key link to realize the failure prediction and health management of the valve mechanism. To accurately evaluate the state of valve clearance, this article proposes a diesel engine valve clearance degradation feature extraction method based on modified complete ensemble empirical mode decomposition with adaptive noise and discriminant correlation analysis feature fusion algorithm. First, we use modified complete ensemble empirical mode decomposition with adaptive noise to adaptively filter the cylinder head vibration signal. Then, power spectrum entropy and improved hierarchical dispersion entropy are proposed as degenerate feature entropy. To improve the sensitivity of the degraded feature entropy to the degraded state, the discriminant correlation analysis algorithm is used to fuse the two types of feature entropy to obtain fused degraded feature entropy. Finally, the degenerate fusion features are input into the least squares support vector machine to realize the health status assessment of the valve mechanism. Through the verification of test data, the results show that the proposed method can effectively evaluate the health state of the valve clearance of diesel engines.

It is of great significance for intelligent manufacturing to study diagnosis methods to realize the diagnosis of mechanical equipment faults. Multiscale weighted permutation entropy is an effective method recently proposed to measure the complexity and dynamic changes of dynamic systems. To solve the shortcoming of multiscale weighted permutation entropy that does not consider high-frequency components, this article proposes hierarchical weighted permutation entropy, which can comprehensively and accurately reflect the low-frequency and high-frequency information of the time series. The simulation signal verifies the effectiveness and superiority of hierarchical weighted permutation entropy. Then, a novel intelligent fault diagnosis method for common rail injectors based on hierarchical weighted permutation entropy and pair-wise feature proximity is proposed. Finally, the proposed method is applied to the common rail injector fault data, and the results verify the effectiveness of the proposed method. Compared with other methods, this method has a higher fault recognition rate and stronger robustness.

All-inorganic halide perovskites are promising candidates for optoelectronic and photovoltaic devices because of their good thermal stability and remarkable optoelectronic properties. Among those properties, carrier transport properties are critical as they inherently dominate the device performance. The transport properties of perovskites have been widely studied at room and lower temperatures, but their high-temperature (i.e., tens of degrees above room temperature) characteristics are not fully understood. Here, the photoexcitation diffusion is optically visualized by transient photoluminescence microscopy (TPLM), through which the temperature-dependent transport characteristics from room temperature to 80 °C are studied in all-inorganic CsPbBr

Evolutionary biologists are always interested in deciphering the geographic context of diversification, therefore they introduced the concept of comparative phylogeography, which helps to identify common mechanisms that contribute to shared genetic structures among organisms from the same region. Here, we used multi-locus genetic data along with environmental data to investigate shared phylogeographic patterns among three Asian-endemic newt genera,复杂地理环境对物种多样性地理格局的影响是进化生物学家研究的热点问题之一，基于多类群的比较系统地理学研究有助于理解来自同一地区的不同生物类群间遗传结构形成的驱动机制。亚洲蝾螈类的三个属（

The function and mechanism of SYTL5 in papillary thyroid carcinoma (PTC) are still unclear. In this research, we found that SYTL5 was significantly overexpressed in PTC tissues compared with normal thyroid tissues. SYTL5 downregulation significantly weakened the proliferative, migratory, and invasive abilities of PTC cells. In addition, upregulated SYTL5 could promote cancer progression by activating the NF-κB signaling pathway. RAC1b expression is positively associated with SYTL5, and overexpressed RAC1b abrogated the antitumor effect after SYTL5 inhibition. In conclusion, our findings identify the oncogenic role of SYTL5 in PTC by activation of the NF-κB signaling pathway, thus facilitating PTC development and progression.

This study demonstrates a simple approach for controlling the pretilt angles of liquid crystals (LCs) using gelator-doped cells fabricated with homogeneously aligned substrates. The competition bet...

In the process of K-TIG deep penetration welding, the workpiece does not need to be bevelled; therefore, the welding method is butt welding, and the gap to be welded is very narrow (0.2~1 mm). Because of the large welding current, the welding arc light intensity is very strong. These factors cause difficulties in the K-TIG weld seam tracking process. To realize weld seam tracking in the K-TIG welding process, it is necessary to extract the keyhole entrance centre and weld centreline accurately. To reduce the interference of strong arc light in the process of K-TIG welding, the information of keyhole entrance and weld seam in the process of K-TIG welding is obtained by using a high-dynamic-range camera. An image processing algorithm based on Mask-RCNN is proposed to extract the centre of the keyhole entrance accurately. An image processing algorithm based on Hough line fitting is used to accurately identify the weld centreline in the welding image and extract the welding deviation. In welding experiments, it is verified that the welding deviation extracted by the method proposed in this paper fluctuates within ± 0.133 mm, which meets the requirements of actual K-TIG welding seam tracking.

This study examines the effect of delayed differentiation, outsourcing, expedited fabrication rate, and rework strategies on optimal cycle-time decisions for a multi-item manufacturing system. Today's manufacturing firms must simultaneously deal with externally increasing client multi-item requirements with rapid lead-time and high-quality products and internally on a limited capacity. This study is aimed at assisting manufacturers in meeting client needs in conditions of restricted-capacity and minimum total operating expenses, and adopts a delayed differentiation two-stage multiproduct manufacturing scheme to manage the end products' commonality. The first stage produces all required common components, and the second stage fabricates individual finished goods. In both stages, we adopt the reworking of the inevitable nonconforming items produced to assure product quality. Furthermore, we implemented partial outsourcing of common parts' batch and expedited the manufacturing rate of finished products to effectively reduce the uptimes in both stages. We explicitly developed a model to describe the characteristics of the problem. Mathematical analyses with optimization proved the cost function's convexity and determined the cost-minimization rotation cycle policy. Finally, we numerically validated our model's and results' applicability and capability with a simulated example. Apart from creating a useful decision model, this study makes another important contribution to the existing literature in that its revelation of collective/individual effect of the manufacturing-relevant methods on the problem's best-operating cycle policy and crucial performance indices helps manufacturers have better control over their operations and make effective and efficient managerial decisions.

To obtain a deep insight into keyhole tungsten inert gas welding, it is necessary to observe the dynamic behavior of the weld pool and keyhole. In this study, based on the steel/glass sandwich and high dynamic range camera, a vision system is developed and the keyhole-weld pool profiles are captured during the real-time welding process. Then, to analyze the dynamic behavior of the weld pool and keyhole, an image processing algorithm is proposed to extract the compression depth of the weld pool and the geometric parameters of the keyhole from the captured images. After considering the variations of these parameters over time, it was found that the front and rear lengths of the keyhole were dynamically adjusted internally and had opposite trends according to the real-time welding status while the length of the keyhole was in a quasi-steady state. The proposed vision-based observation method lays a solid foundation for studying the weld forming process and improving keyhole tungsten inert gas welding.

Heteroatom-doped carbon materials have been widely used as sodium (Na) and potassium (K) metal anode frameworks to achieve uniform Na and K depositions. If the origin of the Sodiophilicity and potassiophilicity of doping sites in heteroatom-doped carbon host are clearly understood, the nucleation and growth behavior of Na and K can be precisely regulated in working batteries. Herein the Sodiophilicity and potassiophilicity chemistries of carbon materials are probed through first-principles calculations. The local dipole of doping functional groups and charge transfer during Na/K deposition are regarded as key principles to reveal the sodiophilic and potassiophilic nature of doping sites. Especially, O–B, O–S, and O–P co-doping strategy are predicted to be effective methods to improve the Sodiophilicity and potassiophilicity of carbon hosts and thus render safe and dendrite-free Na and K metal anodes. This work affords a deep and insightful understanding of Sodiophilicity and potassiophilicity chemistry of Na and K anodes and establishes general principles of designing highly sodiophilic and potassiophilic carbon frameworks.

Aiming at the limitation of using only word features in traditional deep learning sentiment classification, this paper combines topic features with deep learning models to build a topic-fused deep learning sentiment classification model. The model can fuse topic features to obtain high-quality high-level text features. Experiments show that in binary sentiment classification, the highest classification accuracy of the model can reach more than 90%, which is higher than that of commonly used deep learning models. This paper focuses on the combination of deep neural networks and emerging text processing technologies, and improves and perfects them from two aspects of model architecture and training methods, and designs an efficient deep network sentiment analysis model. A CNN (Convolutional Neural Network) model based on polymorphism is proposed. The model constructs the CNN input matrix by combining the word vector information of the text, the emotion information of the words, and the position information of the words, and adjusts the importance of different feature information in the training process by means of weight control. The multi-objective sample data set is used to verify the effectiveness of the proposed model in the sentiment analysis task of related objects from the classification effect and training performance.

Using Chinese IPO firms, we examine the impact of risk information disclosure on the properties of financial analysts’ earnings forecasts. We construct a disclosure index by manually reading the di...

PurposeTo investigate information literacy (IL) skills of secondary students in Singapore after integration of these skills into school curriculum. The study also explored cyber wellness skills of the students.Design/methodology/approachA survey questionnaire was used to collect data from 14 secondary schools, located in different geographical zones of the country. A total of 3,306 secondary students participated in this survey. A scoring scheme was devised to assess IL skills of the students.FindingsThe students achieved an overall mean score of 52.6%, which is considered as a “middle” level of IL competency. The students obtained high mean scores for two IL skills: “defining information task and analysing information gaps” (60.5%) and cyber wellness (60.1%). Lowest scores were achieved for two IL skills: “selecting information sources” (47.4%) and “appraising the information process and product” (48.0%).Research limitations/implicationsThis study has not investigated IL knowledge of teachers, responsible for teaching IL components. Similarly, content analysis of school textbooks, integrating IL skills, could be useful.Practical implicationsIt appeared that integration of IL skills into school curriculum showed limited success in imparting these skills. This paper suggests measures for improving the integration of IL skills into school curriculum. Findings of this survey will be useful to curriculum planners, education administrators, instructors teaching IL skills and school librarians.Originality/valueThis study was unique as, in addition to standard IL skills, it also investigated cyber wellness skills. It was desirable as now social media have become a popular source for information seeking and sharing.

Lithium bonds are analogous to hydrogen bonds and are therefore expected to exhibit similar characteristics and functions. Additionally, the metallic nature and large atomic radius of Li bestow the Li bond with special features. As one of the most important applications of the element, Li batteries afford emerging opportunities for the exploration of Li bond chemistry. Herein, the historical development and concept of the Li bond are reviewed, in addition to the application of Li bonds in Li batteries. In this way, a comprehensive understanding of the Li bond in Li batteries and an outlook on its future developments is presented.

This study aims to systematically evaluate the efficacy and safety of Shuxuetong Injection in the treatment of stroke in progressive. Randomized controlled trials of Shuxuetong Injection in the treatment of stroke in progressive were searched from CNKI, Wanfang, VIP, CMB, PubMed and EMbase. After strict literature screening, data extraction and quality evaluation, a total of 22 articles were included for analysis by RevMan 5.3. The Meta-analysis showed that Shuxuetong Injection combined with conventional treatment was superior to the conventional treatment alone in the major outcome indicators including effective rate(RR=1.27, 95%CI[1.20, 1.33], Z=9.18, Plt;0.000 01), deterioration rate(RR=0.38, 95%CI[0.22, 0.68], Z=3.31, P=0.000 9), NIHSS scores(MD=-3.89, 95%CI[-4.34,-3.43], Z=16.83, Plt;0.000 01), CSS scores(MD=-5.59, 95%CI[-6.42,-4.76], Z=13.20, Plt;0.000 01) and activity of daily living scores(MD=12.02, 95%CI[10.31, 13.72], Z=13.83, Plt;0.000 01), mortality during treatment was not increased(RR=0.40, 95%CI[0.13, 1.26], Z=1.56, P=0.12). Moreover, Shuxuetong Injection combined with conventional treatment further reduced the secondary outcome indicators including fibrinogen(MD=-0.35, 95%CI[-0.58,-0.13], Z=3.09, P=0.002), triglyceride(MD=-0.38, 95%CI[-0.67,-0.10], Z=2.65, P=0.008), low density lipoprotein cholesterol(MD=-0.72, 95%CI[-0.83,-0.61], Z=12.64, Plt;0.000 01), serum hypersensitive C-reactive protein(MD=-4.41, 95%CI[-6.96,-1.86], Z=3.38, P=0.000 7), and interleukin-6(MD=-5.43, 95%CI[-6.91,-3.96], Z=7.22, Plt;0.000 01). GRADE evaluation results showed that the major outcome indicators had low quality of evidence. Shuxuetong Injection in the treatment of stroke in progressive can improve the clinical effective rate, reduce the deterioration rate, improve the neurological function and activity of daily living, down-regulate the levels of fibrinogen, triglyceride, low density lipoprotein cholesterol and alleviate the inflammatory response. Although most studies have reported no adverse reactions, there are selective reports. The safety of Shuxuetong Injection needs to be further verified by more high-quality randomized controlled trial.

Because of the strong Coulomb interaction and quantum confinement effect, 2-dimensional transition metal dichalcogenides possess a stable excitonic population. To realize excitonic device applications, such as excitonic circuits, switches, and transistors, it is of paramount importance for understanding the optical properties of transition metal dichalcogenides. Furthermore, the strong quantum confinement in 2-dimensional space introduces exotic properties, such as enhanced phonon bottlenecking effect, many-body interaction of excitons, and ultrafast nonequilibrium exciton–exciton annihilation. Exciton diffusion is the primary energy dissipation process and a working horse in excitonic devices. In this work, we investigated time-resolved exciton propagation in monolayer semiconductors of WSe 2 , MoWSe 2 , and MoSe 2 , with a home-built femtosecond pump-probe microscope. We observed ultrafast exciton expansion behavior with an equivalent diffusivity of up to 502 cm 2 s −1 at the initial delay time, followed by a slow linear diffusive regime (20.9 cm 2 s −1 ) in the monolayer WSe 2 . The fast expansion behavior is attributed to energetic carrier-dominated superdiffusive behavior. We found that in the monolayers MoWSe 2 and MoSe 2 , the energetic carrier-induced exciton expansion is much more effective, with diffusivity up to 668 and 2295 cm 2 s −1 , respectively. However, the “cold” exciton transport is trap limited in MoWSe 2 and MoSe 2 , leading to negative diffusion behavior at later time. Our findings are helpful to better understand the ultrafast nonlinear diffusive behavior in strongly quantum-confined systems. It may be harnessed to break the limit of conventional slow diffusion of excitons for advancing more efficient and ultrafast optoelectronic devices.

Vehicle–track interaction at insulated rail joints (IRJs) plays a significant role in the wear evolvement and damage of the IRJ components. It is, however, challenging to characterise the contact conditions within the region non-destructively and accurately using experimental tools, especially when the IRJ contact involves both wheel–rail and wheel–endpost contact pairs. This study presents an ultrasonic technique to monitor and characterise static IRJ contacts in a non-invasive manner. The proposed ultrasonic reflectometry technique can realise high-resolution visualisation of contact patch and contact pressure distribution for both wheel–rail contact and wheel–endpost contact, by striking a beam of focused ultrasonic signals at the contact interface. Different data post-processing strategies are applied for the two types of contacts and a deconvolution algorithm is applied to rectify the measurements near the rail–endpost boundary. The ultrasonic measurements are verified through finite element simulations and the results show good agreement with each other in terms of both contact area and contact pressure level. It is expected that the proposed ultrasonic approach can be a reliable tool to assist in revealing the contact behaviour of IRJs more profoundly.

Purpose The purpose of this paper is to investigate whether and how auditors’ pricing decisions are affected by their clients’ offshore trading activities, which are comprehensively measured through a textual analysis technique. Design/methodology/approach The authors identified a sample of 32,264 firm-year observations from publicly listed firms in the US during 2004 to 2015. The authors then used multivariate regressions to examine the effect of offshore trading activities on audit fees. In the regression models, the authors also control for a series of factors that are documented to influence audit pricing. Findings The authors find that offshore trading activities are positively associated with audit fees, suggesting that offshore activities are likely to increase a client firm’s business risk and/or the extent of client complexity. The authors also find that auditors charge higher audit fees only to firms purchasing inputs produced by their own assets overseas but not to firms buying inputs produced by local firms overseas. Moreover, the association between offshore trading activities and audit fees is more pronounced for offshore activities that are in countries with high trading centrality, for Big 4 auditors, or for auditors with industry expertise. Originality/value This paper extends the literature on the consequences of offshore activities by providing evidence on how auditors react to offshore activities. Moreover, it contributes to the audit fee literature. Prior studies largely focus on client-level determinants, while this study complements this line of literature by identifying firm’s offshore activities as an important risk indicator, which is perceived by auditors in their pricing decisions. A firm’s offshore activity is unique because the risk implication of the offshore activities depends not only on factors within the firm, but also on factors outside the firm in foreign nations.

Although Taiwanese citizens benefit from affordable health care, residents in remote areas extensively rely on unsafe self-care practices because of a lack of easy access to medical services. To improve self-care safety, ten easy-access self-care medical spots (ESCMSs) managed by trained residents were established in two remote villages. This study aimed to assess the impact of ESCMSs on self-care and access to medical services. For a total of six commonly experienced minor illnesses, the average number of illnesses for which residents were confident to perform self-care increased from 2.78 in the pretest to 3.58 in the post-test. ESCMSs were also the first choice when experiencing minor illnesses for 31.25% residents who did not visit a doctor. Residents' personal experience with ESCMSs correlated with their perception of ESCMSs' function. Compared with residents who had no personal experience of using ESCMSs, those who used the ESCMS service were less likely to store medications for minor illnesses at home (51.02% vs. 76.67%). Furthermore, those who attribute the reduced needs for professional help to ESCMSs had used medications for minor illnesses at ESCMSs. These results suggest that establishing ESCMSs is a viable alternative to increase the self-care capacity of residents in remote areas and increase the access to medical resources. Moreover, because residents are less likely to store medication and travel for professional help, ESCMSs could indirectly reduce the risks of self-medication and traffic accidents, respectively. However, caution should be exercised when generalizing these results to more populated areas that also lack medical resources.

Afforestation, through the conversion of upland cropland to forest, is of great significance to land use change in montane (hilly) agricultural landscapes worldwide. Such afforestation is implemented to improve soil and water conservation and facilitate terrestrial carbon sequestration. However, particularly for subtropical and tropical regions, the effects of afforestation on soil N2O emissions have not been well investigated. Therefore, a three-year field experiment was conducted to simultaneously monitor N2O emissions from three paired sites of afforestation with cypress (Cypressus funebris) and adjacent cropland under a wheat-maize rotation system. The experiment was carried out in a subtropical montane agricultural landscape in southwest China. In both forest and cropland ecosystems, the N2O emissions exhibited a pronounced spatial and temporal variability. These variations in N2O emissions can be well explained by the spatiotemporal dynamics of environmental variables, such as soil temperature, WFPS, soil NH4+ or NO3− availability, because these environmental variables correlated significantly with the N2O emissions across different experimental sites and years. The average annual N2O fluxes were 2.69 kg N ha-1 for cropland and 0.13 kg N ha-1 for afforestation. It is noteworthy that the annual N2O fluxes for afforestation found in the present study constitute one of the lowest recorded N2O fluxes for unfertilized forest ecosystems globally. Overall, across all experimental sites and years, afforestation with cypress (Cypressus funebris) stands significantly decreased N2O fluxes by over twenty times relative to the adjacent cropland. This outcome suggests that afforestation could be an effective mitigation strategy for soil N2O emissions in a subtropical montane agricultural landscape.