期刊：
JOURNAL OF NATURAL PRODUCTS,2024年 ISSN：0163-3864
通讯作者：
Ruan, HL
作者机构：
[Ruan, Han-Li; Xie, Zuo-Ye; Chang, Jin-Ling; Peng, Xiao-Gang; Ruan, HL; Gan, Yu-Tian; Zhou, Yin-Hui] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Pharm, Hubei Key Lab Nat Med Chem & Resource Evaluat, Wuhan 430030, Peoples R China.;[Gan, Yu-Tian] Xiangyang Hosp Tradit Chinese Med, Xiangyang 441000, Peoples R China.;[Meng, Xianggao] Cent China Normal Univ, Coll Chem, Wuhan 430079, Peoples R China.;[Li, Shu-Ming] Philipps Univ Marburg, Fachbereich Pharm, Inst Pharmazeut Biol & Biotechnol, D-35037 Marburg, Germany.
通讯机构：
[Ruan, HL ] H;Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Pharm, Hubei Key Lab Nat Med Chem & Resource Evaluat, Wuhan 430030, Peoples R China.
摘要：
Ten new (1-10) and nine known (11-19) austocystins, along with four known anthraquinones (20-23), were isolated from the culture of Aspergillus ustus NRRL 5856 by bioactivity-guided fractionation. The structures of the new compounds were elucidated by spectroscopic data analysis, X-ray crystallographic study, the modified Mosher's method, [Rh(2)(OCOCF3)(4)]-induced ECD spectral analysis, and comparison of the experimental ECD spectra with those of the similar analogues. Compounds 1-8 represent the first examples of austocystins with a C-4' oxygenated substitution. The absolute configuration of 1″-hydroxy austocystin D (11) was determined by single-crystal X-ray diffraction and consideration of its biosynthetic origin. Compounds 5, 9, and 11 exhibited significant inhibitory effects against the proliferation of ConA-induced T cells with IC(50) values of 1.1, 1.0, and 0.93 μM, respectively. Furthermore, these compounds suppressed the expression of IL-6 in a dose-dependent manner. Compounds 10-12 and 14 showed pronounced cytotoxicities against MCF-7 with IC(50) values of 3.9, 1.3, 0.46, and 2.3 μM, respectively.
作者：
Li, Jiayuan;Bai, Jie;Zhu, Sha;Yang, Harrison Hao
期刊：
Electronics,2024年13(2):385- ISSN：2079-9292
通讯作者：
Zhu, S;Yang, HH
作者机构：
[Zhu, Sha; Zhu, S; Bai, Jie; Li, Jiayuan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Yang, HH; Yang, Harrison Hao] SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
通讯机构：
[Yang, HH ] S;[Zhu, S ] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
关键词：
digital literacy;digital game-based assessment;ECGD;AHP;assessment model
摘要：
This study measured secondary students' digital literacy using a digital game-based assessment system that was designed and developed based on the Evidence-Centered Game Design (ECGD) approach. A total of 188 secondary students constituted the valid cases in this study. Fine-grained behavioral data generated from students' gameplay processes were collected and recorded with the assessment system. The Delphi method was used to extract feature variables related to digital literacy from the process data, and the Analytic Hierarchy Process (AHP) method was used to construct the measurement model. The assessment results of the ECGD-based assessment had a high correlation with standardized test scores, which have been shown to be reliable and valid in prior large-scale assessment studies.
期刊：
IEEE ROBOTICS AND AUTOMATION LETTERS,2024年9(3):2646-2653 ISSN：2377-3766
通讯作者：
Lu, ZY
作者机构：
[Zhao, Zhou] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Lu, Zhenyu; He, Wenhao] Univ West England, Fac Environm & Technol, Bristol BS16 1QY, England.;[Lu, Zhenyu; He, Wenhao] Univ West England, Bristol Robot Lab, Bristol BS16 1QY, England.
通讯机构：
[Lu, ZY ] U;Univ West England, Fac Environm & Technol, Bristol BS16 1QY, England.;Univ West England, Bristol Robot Lab, Bristol BS16 1QY, England.
关键词：
Grasping;Robots;Robot sensing systems;Tactile sensors;Deep learning;Exoskeletons;Sensors;deep learning in grasping and manipulation;learning from experience
摘要：
To minimize irrelevant and redundant information in tactile data and harness the dexterity of human hands. In this paper, we introduce a novel binary classification network with normalized differential convolution (NDConv) layers. Our method leverages the recent progress in visual-based tactile sensing to significantly improve the accuracy of grasp stability prediction. First, we collect a dataset from human demonstration by grasping 15 different daily objects. Then, we rethink pixel correlation and design a novel NDConv layer to fully utilize spatio-temporal information. Finally, the classification network not only achieves a real-time temporal sequence prediction but also obtains an average classification accuracy of 92.97%. The experimental results show that the network can hold a high classification accuracy even when facing unseen objects.
作者机构：
[Xie, Hao; Liu, Pengqiang] Cent China Normal Univ, Informat Management Coll, Wuhan, Hubei, Peoples R China.;[Chang, Shuangshuang] Wuchang Univ Technol, Wuhan, Hubei, Peoples R China.;[Lin, Regina Fang-Ying; Lin, RFY] Shenzhen Technol Univ, Ctr Circular Econ, Business Sch, Shenzhen, Guangdong, Peoples R China.;[Lin, Regina Fang-Ying; Lin, RFY] Harbin Inst Technol Shenzhen, Sch Econ & Management, Shenzhen, Peoples R China.
通讯机构：
[Lin, RFY ] S;Shenzhen Technol Univ, Ctr Circular Econ, Business Sch, Shenzhen, Guangdong, Peoples R China.;Harbin Inst Technol Shenzhen, Sch Econ & Management, Shenzhen, Peoples R China.
关键词：
Natural resources;GDP;Access to clean fuel technology;R&D expenditures;Asian economies
摘要：
This study examines the relationship between natural resource rents and economic growth in Asian economies from 1990 to 2021, considering the impact of electricity generated from renewable sources, access to clean fuel technology, and research and development expenditures. The study uses time series data and employs the Bayer-Hanck cointegration analysis to examine long-term cointegration, along with least squares with known structural breaks for the main estimates and robust least squares method for the analysis. The findings suggest that access to clean fuel technology, natural gas rents, and oil rents significantly impact economic expansion without renewable electricity, while mineral rents have insignificant results. Including electricity from renewable energy, access to clean fuel technology, oil rents, and research and development expenditures suggest a positive association with economic growth. In contrast, natural gas rents and mineral rents produce negative results. The study concludes that there is an asymmetric relationship between natural resources and economic growth in the studied Asian economies. The study highlights the importance of effectively utilizing natural resources and promoting renewable energy in Asian economies with natural resource wealth to promote economic growth.
摘要：
Let
$$A\in M_2({\mathbb {Z}})$$
be an expanding integer matrix and
$$D=\{d_1={\textbf{0}},d_2,d_3\}\subset {\mathbb {Z}}^2$$
. It follows from Hutchinson (Indiana Univ Math J 30:713–747, 1981) that the generalized Sierpinski self-affine set
$${\textbf{T}}(A,D)$$
is the unique compact set determined by the pair (A,D) satisfing the set-valued equation
$$A{\textbf{T}}(A,D)=\bigcup _{i=1}^3({\textbf{T}}(A,D)+d_i)$$
. In this paper, we show that Fuglede’s conjecture holds on
$${\textbf{T}}(A,D)$$
, which states that
$${\textbf{T}}(A,D)$$
is a spectral set if and only if
$${\textbf{T}}(A,D)$$
is a translational tile. For the classical Sierpinski self-affine set
$${\textbf{T}}(A,D_{c})$$
with
$$D_{\text {c}}=\{(0,0)^t,(1,0)^t, (0,1)^t\}$$
, a finer characterization of tiling set is given. As an application, we find that the classical Sierpinski self-affine tile
$${\textbf{T}}(A,D_{\text {c}})$$
is suitable for Kolountzakis’ conjecture on product domain. This enriches the results that are now known.
关键词：
Key-frame extraction;Audiovisual interaction and fusion;Attention mechanism;Emotion recognition;Intra-modality interaction;Cross-modality interaction
摘要：
Purpose - Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human-computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.Design/methodology/approach - A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum-based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including "Multi-head Attention-based Intra-modality Interaction Module" and "Multi-head Attention-based Cross-modality Interaction Module", are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.Findings - Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.Originality/value - The proposed KE-AFN can support the development of engaging and empathetic human-computer interaction environment.
作者机构：
[Chen, Jingying; Wang, Zhun; Xu, Ruyi; Zhou, Longpu] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.;[Zhou, Longpu] Ningbo Yuxing Educ Technol Co Ltd, Ningbo, Zhejiang, Peoples R China.
通讯机构：
[Chen, JY ] C;Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.
关键词：
Facial expression intensity estimation;Ordinal regression;Label distribution learning;Semi-supervised
摘要：
Facial expression intensity estimation has promising applications in health care and affective computing, such as monitoring patients’ pain feelings. However, labeling facial expression intensity is a specialized and time-consuming task. Ordinal regression (OR)-based methods address this issue to some extent by estimating the relative intensity but failing to estimate the absolute intensity due to lack of exploring useful information from noisy labels caused by manual and automatic labeling biases. Inspired by label distribution learning (LDL) to resist the noisy labels, this paper introduces the label-distribution-learning-enhanced OR (LDL-EOR) approach for facial expression intensity estimation. This design aims to utilize LDL to improve the accuracy of absolute intensity estimation while keeping the cost of manual labeling low. The label distribution is converted into a continuous intensity value by calculating the mathematical expectation, which makes the prediction results meet both relative and absolute intensity constraints. Ensuring the feasibility of LDL-EOR in different supervised settings, this paper presents a unified label distribution generation framework to automatically relabel training data frame by frame. The generated soft labels are used to supervise the LDL-EOR model and enhance its robustness to the noise existing in the original labels. Numerous experiments were conducted on three public expression datasets (CK+, BU-4DFE, and PAIN) to validate the superiority of LDL-EOR relative to other state-of-the-art approaches.
期刊：
Educational Research Review,2024年43:100591 ISSN：1747-938X
通讯作者：
Chai, HY
作者机构：
[Chai, Huanyou; Hu, Tianhui] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.;[Chai, Huanyou] Beijing Normal Univ, Res Ctr Distance Educ, Beijing, Peoples R China.;[Wu, Li] Cent China Normal Univ, Sch Educ, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Chai, HY ] C;Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.
关键词：
Computer-based assessment;Collaborative problem solving skills;21st century skills;Theoretical model;Evaluation methodologies
摘要：
Given the widespread concern on collaborative problem solving (CPS) skills, there has been an increasing interest in the last few years to explore how to assess them with digital technologies. This study systematically reviewed how CPS skills have been assessed with digital technologies in the literature. A total of 40 articles were reviewed to analyze specific computer-based assessment instruments of CPS skills from four perspectives: research context, theoretical model for assessment, assessment type, and reliability and validity evidence. The results indicate that most tests target a sample of less than 500 junior students. Nine theoretical models are employed for assessing CPS skills, most of which treat these skills as an explicit combination of social and cognitive skills and are applied to a limited range of participants' age levels, collaboration features, and team compositions. A total of 22 tests have been employed and fallen into four types, i. e., the ones with specific predefined messages in human-agent mode, and those with online chat box, videoconferencing, and face-to-face collaboration in human-human mode. Each type of these tests demonstrates great diversities in participants' age levels, types of CPS task(s), team compositions, types of assessment data, and methods of data recording and scoring. A certain number of tests lack reliability and validity evidence. Our findings are expected to benefit relevant researchers and test developers in terms of providing suggestions for future research which include testing the applicability of theoretical models for assessing CPS skills across a wide range of assessment contexts. In addition, future researchers should improve the development, data processing, and report of those four types of computer-based assessment instruments of CPS skills through different approaches, respectively.
