摘要：
The current digital speech deletion and insertion tampering detection methods mainly employes the extraction of phase and frequency features of the Electrical Network Frequency (ENF). However, there are some problems with the existing approaches, such as the alignment problem for speech samples with different durations, the sparsity of ENF features, and the small number of tampered speech samples for training, which lead to low accuracy of deletion and insertion tampering detection. Therefore, this paper proposes a tampering detection method for digital speech deletion and insertion based on ENF Fluctuation Super -vector (ENF-FSV) and deep feature learning representation. By extracting the parameters of ENF phase and frequency fitting curves, feature alignment and dimensionality reduction are achieved, and the alignment and sparsity problems are avoided while the fluctuation information of phase and frequency is extracted. To solve the problem of the insufficient sample size of tampered speech for training, the ENF Universal Background Model (ENF-UBM) is built by a large number of untampered speech samples, and the mean vector is updated to extract ENF-FSV. Considering the shallow representation of ENF features with not highlighting important features, we construct an end -toend deep neural network to strengthen the attention to the abrupt fluctuation information by the attention mechanism to enhance the representational power of the ENF-FSV features, and then the deep ENF-FSV features extracted by the Residual Network (ResNet) module are fed to the designed classification network for tampering detection. The experimental results show that the method in this paper exhibits higher accuracy and better robustness in the Carioca, New Spanish, and ENF High -sampling Group (ENF-HG) databases when compared with the state-of-the-art methods.
摘要：
Entities and relations extraction are the key tasks in the construction of biomedical knowledge graph, which play an important role in the biomedical artificial intelligence. However, extraction of entities and relations from biomedical texts is challenging because of the overlapping triples problem. The previous approaches typically divided the task into two separate sub-tasks. However, these methods failed to address the error propagation problem. Recent methods have been proposed to perform both sub-tasks simultaneously. Nonetheless, most current methods still encounter issues related to imbalanced interactions and independent features. In this paper, we propose a novel method based on feature partition encoding and relative positional embedding to joint extract biomedical entity and relation triples simultaneously. Compared to previous work, our method shows exceptional accurate in extracting entities and relations, while efficiently tackling the challenge of overlapping triples in biomedical texts. Our work has two contributions. Firstly, our method divides the features into task-specific and shared parts through entity, relation and sharing partitions at the encoding stage. And the encoded features will be aggregated according to the subsequent tasks. Secondly, we introduce a relative positional embedding method to capture the relative distance information between token pairs. In this way, our method can effectively deal with the sub-tasks interactions problem and improve entities and relations extraction. The experimental results show that our method improves the F1 scores of relations extraction by 3.2%, 2.1%, 3.4%, and 2.8% on four biomedical datasets, respectively.
摘要：
Developing green composite with high biomass content is one crucial way to realize the strategy of 'carbon reduction'. The type of polyurethane prepolymer and its soft segment's structure have an important influence on the structure and properties of composite materials. This work focused on preparing different kinds of wood powder-polyurethane prepolymer (WCLPU) composite with high biomass content to study the effects of the molecular weight of the soft segment of the polyurethane prepolymer (PCLPU) on the structure and properties of the composites. The results showed that the composite materials with 70 wt% wood content exhibited high strength and good bending performance. Specifically, with decreasing molecular weight of the PCLPU soft segment, the bending strength and bending modulus of the modified WCLPU composite also increased. This work has laid a foundation for studying the effects of the molecular weight of the PCLPU soft segment on the structure and properties of composite materials.
作者：
He, Ying;Wang, Yan;Yang, Jerry Zhijian;Yin, Hongshuang
期刊：
EAST ASIAN JOURNAL ON APPLIED MATHEMATICS,2024年14(1):79-103 ISSN：2079-7362
通讯作者：
Wang, Y
作者机构：
[Yang, Jerry Zhijian; Yin, Hongshuang; He, Ying] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China.;[He, Ying] Yanqi Lake Beijing Inst Math Sci & Applicat, Beijing 101408, Peoples R China.;[Wang, Yan] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Wang, Yan] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Wang, Y ] C;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
关键词：
Global Science Press;EAJAM;East Asian Journal on Applied Mathematics;Nonlinear Dirac equation;uniformly accurate;finite difference method;time-splitting method;exponential integrator.
摘要：
Numerical methods for the nonlinear Dirac equation (NDE) in the massless nonrelativistic regime are considered. In this regime, the equation contains a small dimensionless parameter $0 <\varepsilon≤ 1,$ and its solution is highly oscillatory in time. We present and analyze traditional numerical schemes for the NDE, including finite difference methods, time-splitting methods and exponential integrators. Error analysis indicates that all these methods require an $\varepsilon$-dependent time-step size to achieve an optimal convergence order. Utilizing an operator splitting technique, we propose a uniformly accurate (UA) scheme. The scheme enables first-order convergence in time for all $\varepsilon ∈ (0, 1]$ without restrictions on time-step size. Error estimates for the UA scheme are rigorously established and numerical results confirm the properties of the method.
摘要：
In this paper, we suggest an empirical likelihood -based test for the autoregressive coefficient of an integer -valued AR(1) model, i.e., INAR(1). We derive the limit distributions of the resulting test statistic under both null and alternative hypotheses. It turns out that regardless of whether the INAR process is stable or unstable, the statistic is always chi -squared distributed asymptotically under the null hypothesis, and as a result, it can offer unified inferences for the autoregressive coefficient. The performance of its finite sample is also demonstrated using simulations and an empirical example.
关键词：
Social network sites use;Depression;Self-esteem;Self-compassion;Children
摘要：
Previous research has conducted extensive work on the impact of social network site (SNS) use on depression. However, most of these studies have focused on adolescents or adults, and little is known about how SNS use affects depression among children. Based on the vulnerability model of depression, the self-system beliefs model, and the risk-buffering hypothesis, we examined whether self-esteem would mediate the relationship between SNS use and children's depression and whether self-compassion would play a moderating role in the mediating process. The sample consisted of 386 Chinese children from grades three to six (Mage = 9.83 years, SD = 1.23; 42.5 % girls), who provided self-reported data on demographic variables, SNS use, self-esteem, depression, and self-compassion. Results indicated that after controlling for the children's gender and age, the partial mediating role of self-esteem between SNS use and depression was significant at low levels of self-compassion, marginally significant at high levels, and non-significant at mean levels. Moreover, both the first and second stages of the indirect effects were moderated by self-compassion. Specifically, the effects of SNS use on self-esteem were negative, non-significant, and marginally positive for children with low, middle, and high self-compassion, respectively. The interaction pattern of self-esteem and self-compassion on depression fit the protective-attenuating hypothesis: the protective effect of self-compassion was stronger for children with low self-esteem. This study extends our understanding of the underlying mechanisms linking SNS use to depression among children, which has both theoretical and practical implications for interventions for children's depressive symptoms. The limitations and theoretical and practical implications of this study are discussed.
作者机构：
Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China;School of Psychology, Central China Normal University, Wuhan, China;[Lu Huang] School of Marxism, Wuhan Business University, Wuhan, China;[Youzhi Song; Yuan Tian; Cuiying Fan; Quan Zheng; Zongkui Zhou] Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China<&wdkj&>School of Psychology, Central China Normal University, Wuhan, China
通讯机构：
[Zongkui Zhou] K;Key Laboratory of Adolescent Cyberpsychology and Behavior (CCNU), Ministry of Education, Wuhan, China<&wdkj&>School of Psychology, Central China Normal University, Wuhan, China
摘要：
Early research has revealed distinct subgroups of cyberbullying victims. However, due to the limitations of traditional statistical methods, the characterization of features in the subgroups has been relatively limited, making it challenging to gain a relatively comprehensive understanding of different subgroup members. Decision trees and machine learning techniques offer notable advantages in addressing such issues. The primary aim of this study is to develop a high-performing classifier based on self-reported data from 814 middle school students to accurately predict cyberbullying victimization and uncover the most influential factors. On this basis, the study attempts to identify different subgroups of cyberbullying victims and their shared characteristics. The results indicated that the classification tree achieved a prediction accuracy of approximately 80% on the out-of-sample dataset. The results of permutation feature importance highlighted that the most prominent predictors were the victim’s cyberbullying perpetration, followed by traditional relational victimization and depression. Further examination of the visual tree structure revealed subgroups of cyberbullying victims and their shared characteristics. The findings of this study have enriched the characteristics of different subgroups of cyberbullying victims, providing a better elucidation of the pathology of cyberbullying victimization and offering empirical evidence to facilitate the development of more targeted intervention strategies for various subgroups of cyberbullying victims.
摘要：
Whether parental educational expectations for adolescents serve as a source of motivation or stress depends on the extent to which adolescents hold expectations for themselves. Previous research on the discrepancies between parental and adolescent educational expectations and their impact on learning engagement has been limited by traditional statistical tests, and lacking an examination of the internal mediating mechanism of parent-child relational quality from both parental and adolescent perspectives. This cross-sectional study, utilizing a multi-informant design, examined the association between discrepancies in parents' and adolescents' reports of expectations, and adolescents' study engagement, as well as the mediating role of parent-child relational qualities perceived by both parties. The sample for this study consisted of 455 adolescents and their parents from 10 classes in a junior high school in Wuhan, Hubei Province, China. The adolescents had an average age of 12.8 years, and 51.6% of them were boys. Both parents and adolescents reported on their expectations and perceived relational quality, while adolescents also filled out questionnaires assessing their learning engagement. Data were analyzed using polynomial regressions with response surface analysis. The results revealed that when adolescents reported high expectations, regardless of whether their parents reported high or low expectations, adolescents reported satisfied relationships and high learning engagement. In contrast, parents reported satisfied relationships when both parties reported high expectations, or when parents reported higher expectations than adolescents. Lastly, the association between discrepancies in expectations and learning engagement was significantly mediated by adolescent-reported relationships but not parent-reported ones. These findings highlight the importance of considering multiple perspectives when studying the association between expectations and adolescent study engagement. This research advances our comprehension of the dynamics between parent-adolescent educational expectation discrepancies and adolescent learning engagement, offering insights for more nuanced and effective parenting strategies tailored to foster optimal educational outcomes.
期刊：
FRONTIERS IN PSYCHOLOGY,2024年15:1330316 ISSN：1664-1078
通讯作者：
Xu, Q
作者机构：
[Xue, Yan] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan, Peoples R China.;[Xu, Quan; Xu, Q] Cent China Normal Univ, Sch Foreign Languages, Wuhan, Peoples R China.
通讯机构：
[Xu, Q ] C;Cent China Normal Univ, Sch Foreign Languages, Wuhan, Peoples R China.
摘要：
Background: Previous studies have examined the gender and geographic diversity within editorial boards across various academic disciplines, excluding the field of education. Thus, the purpose of this study was to address this gap by investigating the extent of gender and geographic disparity within the editorial boards of education journals. Methods: The selection of top five education journals from each quartile (Q1–Q4) was performed based on Clarivate Analytics’ Journal Citation Reports (JCR) 2021 within the category of “Education & Educational Research.” The information of editors was collected through online sources. Results: Overall, female editors accounted for 17 out of the 29 editors-in-chief (58.62%), 36 out of the 64 deputy/associate editors (56.25%), 378 out of the 728 editorial/advisory board members (51.92%) and 15 out of the 28 other types of editors (53.57%). There was no significant association between the impact factor (IF) and the proportion of female editors (Pearson’s r = −0.095, p = 0.689). The United States had the highest number of editors (n = 459, 54.06%), followed by the United Kingdom (n = 98, 11.54%), Australia (n = 63, 7.42%), China (n = 29, 3.42%), Germany (n = 25, 2.94%), and Canada (n = 22, 2.59%). Notably, the majority of the included editors were from developed countries (n = 794, 93.52%), while editors from developing countries constituted a significantly smaller proportion (n = 55, 6.48%). Conclusion: Editorial boards of education journals exhibit reasonable gender diversity than other disciplines, though still fall short when considering the proportion of women in the discipline. Besides, obvious geographical disparity was observed among editorial boards of education journals. There was a notable lack of representation of researchers associated with institutions from developing countries on the editorial boards of education journals. While maintaining sufficient gender diversity, it is imperative to enhance the geographical diversity in these journals, ensuring a more equitable number of positions to individuals from these underrepresented groups.
摘要：
OBJECTIVE: Both theoretical and empirical studies suggest that negative cognitive biases significantly influence the onset and persistence of posttraumatic stress disorder (PTSD) symptoms. However, the interplay among these cognitive biases and their conjoint contribution to the long-term trajectory of posttraumatic stress symptoms remains underexplored. This study delves into the interplay among attention, appraisal, and memory biases within a provisional PTSD population and evaluates the predictive effects of two integrative models (weakest link, additive approach) on posttraumatic stress symptoms reported 2 months later. METHOD: Sixty Chinese participants (M(age) = 20.17, SD(age) = 2.11) with provisional PTSD undertook the scrambled sentences test (appraisal bias) with their eye movements recorded (attention bias) and then the free recall task (memory bias). Posttraumatic stress symptom was assessed at baseline and 2-month follow-up. RESULTS: Selective attention bias toward negative words was positively associated with the negative appraisal of scrambled sentences, which subsequently showed a strong association with negative memory bias. Regarding the progression of posttraumatic stress symptoms, the additive approach was found to be a more reliable predictor of self-reported posttraumatic stress symptoms at 2 months than the weak link approach. CONCLUSIONS: This study provides initial evidence supporting the combined cognitive biases hypothesis in provisional PTSD. It also underscores potential avenues to enhance cognitive bias modification techniques. Replication of these findings in broader clinical samples is essential. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
作者机构：
[Chen, Bizhong; Yao, Liangshuang] Minist Educ, Key Lab Adolescent Cyberpsychol & Behav CCNU, Wuhan, Peoples R China.;[Sun, Xiaojun] Cent China Normal Univ, Sch Psychol, Wuhan, Peoples R China.;[Huang, Xuan] Beijing Normal Univ, Fac Psychol, Beijing, Peoples R China.;[Sun, Xiaojun; Sun, XJ] Cent China Normal Univ CCNU, Sch Psychol, 382 Xiongchu Rd, Wuhan 430079, Peoples R China.
通讯机构：
[Sun, XJ ] C;Cent China Normal Univ CCNU, Sch Psychol, 382 Xiongchu Rd, Wuhan 430079, Peoples R China.
关键词：
social anxiety;social relationships;longitudinal studies;meta-analysis
摘要：
It is theoretically plausible that social anxiety (SA) and social relationships (SR) can influence each other. However, the available empirical evidence is inconsistent, leading to substantial uncertainty regarding the cross-lagged relations between SA and SR. This meta-analysis systematically integrates data from 107 longitudinal studies, comprising 110 independent samples and involving a total of 115,133 participants from childhood to adulthood. Four types of SR were assessed: family-related, school-related, romantic, and general relationships. One-stage meta-analytic structural equation modeling was applied to fit four cross-lagged panel models and to test potential moderators. No significant publication bias was detected. Effect size analyses revealed that prior SA significantly and negatively predicted quality of all types of SR. Family-related and general relationships each predicted prospective SA symptoms, but school-related and romantic relationships did not. No moderators were identified in analyses of family-related and romantic relationships. However, the publication year, sample age, gender, reporter, and time lag played a moderating role in analyses of school-related and general relationships. These findings suggest that SA is a crucial factor undermining SR and that dysfunctional family and general relationships also contribute to the exacerbation of SA symptoms. The strengths, limitations, and future directions of this study are discussed. Public Significance Statement A hotly debated issue in academia is whether past social anxiety (SA) hinders future social relationships(SR) or if prior poor SR precipitate subsequent SA symptoms. To shed light on this matter, a comprehensive meta-analysis was conducted, encompassing data from 107 longitudinal studies and involving over 110,000 participants. The findings suggest that SA poses a significant risk to all types of SR, but only family-related and general relationships potentially impacted later levels of SA.
作者机构：
[Zhang, Man; Zhang, Jiawei; Zhang, M] Cent China Normal Univ, Sch Foreign Languages, Wuhan, Peoples R China.;[Zhang, Man; Zhang, M] Humboldt Univ, Fac Language Literature & Humanities, Berlin, Germany.
通讯机构：
[Zhang, M ] C;Cent China Normal Univ, Sch Foreign Languages, Wuhan, Peoples R China.;Humboldt Univ, Fac Language Literature & Humanities, Berlin, Germany.
通讯机构：
[Pan, FF ] C;[Dong, XY ] H;Henan Polytech Univ, Coll Chem & Chem Engn, Jiaozuo 454000, Peoples R China.;Zhengzhou Univ, Coll Chem, Zhengzhou 450001, Peoples R China.;Cent China Normal Univ, Coll Chem, Wuhan 430079, Peoples R China.
摘要：
Materials exhibiting X-ray-induced photochromism have consistently piqued the interest of researchers. Exploring the photochromic properties of such materials is valuable for understanding the structural changes and electron transfer processes that occur under high energy radiation, such as X-ray irradiation. Here, a crystalline silver(I) nanocluster synthesized from tert-butylacetylene silver was found to have the ability to exhibit color and photoluminescence changes upon exposure to X-ray radiation. The responsive behavior was observed across a wide temperature range of 100-300 K, with the ability to respond particularly well to soft X-rays (lambda > 1 & Aring;) and exhibit light responsiveness to hard X-rays (lambda < 1 & Aring;). By combining experimental findings including X-ray diffraction, X-ray photoelectron spectroscopy, electron spin resonance, etc. with theoretical calculations, we have proposed that X-ray irradiation induces electron transfer from chloride (Cl-) located in the center of the silver(I) nanocluster to the surrounding Ag-14 in the skeleton. This represents the first documented example in which electron transfer induced by X-ray excitation has been observed, accompanied by a photochromism process, in silver nanoclusters. This study contributes to our understanding of X-ray-induced photochromism and the electron transfer process in silver cluster compounds. It also provides valuable insights and potential design strategies for applications such as photochromism, photoluminescence color change, and photoenergy conversion.
期刊：
Green Synthesis and Catalysis,2024年 ISSN：2666-5549
通讯作者：
Long Wang<&wdkj&>Qing-Qing Yang
作者机构：
[Zheng-Wei Wu; Han-Han Kong] College of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University, Yichang 443002, China;[Yong Wei; Wen-Chao Zhou] Yichang Humanwell Pharmaceutical Co., Ltd., 19 Dalian Road, Yichang 443008, China;Hubei Three Gorges Labratory, Yichang 443007, China;[Liang-Qiu Lu] CCNU-uOttawa Joint Research Centre, Key Laboratory of Pesticide and Chemical Biology, Ministry of Education, College of Chemistry, Central China Normal University, Wuhan 430079, China;[Long Wang; Qing-Qing Yang] College of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University, Yichang 443002, China<&wdkj&>Hubei Three Gorges Labratory, Yichang 443007, China
通讯机构：
[Long Wang; Qing-Qing Yang] C;College of Materials and Chemical Engineering, Key Laboratory of Inorganic Nonmetallic Crystalline and Energy Conversion Materials, China Three Gorges University, Yichang 443002, China<&wdkj&>Hubei Three Gorges Labratory, Yichang 443007, China
关键词：
Visible light;Tetrabromomethane;Molecular oxygen;Photocatalyst- and additive-free;Azaspiro[4,5]trienones
摘要：
A visible-light-induced brominated spirocyclization of N-arylpropiolamides and CBr4 for the synthesis of 3-bromo-azaspiro[4,5]trienones is reported here. This process allows the formation of C–Br, C–C, and C=O bonds in a single reaction via a cascade radical addition/ipso-cyclization/oxidative dearomatization sequence. This protocol also features high functional group tolerance, operational simplicity and the use of molecular oxygen as an oxidant as well as sustainable photocatalyst- and additive-free reaction conditions at room temperature. Meanwhile, the presented straightforward and sustainable strategy has also been applied to the synthesis of several biologically active compounds.
