Improved sub-band JND model with textural decomposition and its application in perceptual image coding by Ming-kui ZHENG, Kai-xiong SU, Wei-xing WANG, Cheng-dong LAN, Xiu-zhi YANG

“…In order to improve the accuracy of the just noticeable difference (JND) model in transform domain, an en-hanced JND model with a new method for contrast masking factor estimation was proposed. …”
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Graph-based multi-attribute decision-making method with new fuzzy information measures by Lili Zhang, Shu Sun, Ruping Wang, Chunfeng Suo

“…Then, we explore a conversion mechanism between the distance measure and symmetric cross entropies, in conjunction with the conversion path from these measures to knowledge measures. These transformations can elicit a series of formula for delineating symmetric cross entropy and knowledge measure. …”
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Automatic Registration of Multi-Temporal 3D Models Based on Phase Congruency Method by Chaofeng Ren, Kenan Feng, Haixing Shang, Shiyuan Li

“…The second experiment further reveals the significant impact of different 3D transformation models. The experimental results show that the coordinates obtained based on position and orientation system (POS) data have significant positioning errors, while the method proposed in this study can reduce the coordinate errors between the two-period models. …”
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Deep Reinforcement Learning-Based Distribution Network Planning Method Considering Renewable Energy by Liang Ma, Chenyi Si, Ke Wang, Jinshan Luo, Shigong Jiang, Yi Song

“…Finally, the representative test case is selected to verify the effectiveness of the proposed method, which indicates that the proposed method can improve the efficiency of DNP and promote the digital transformation of DNP.…”
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Inoculation method and disease evaluation of tomato chlorotic virus (ToCV) in Solanum lycopersicum by Dan Zhao, Tianchen Xia, Tao Zhou, Lifu Zhao, Xiaoping Zhu, Biao Gong

“…Here, we presented a method for constructing the ToCV-infectious clones using binary vector pCass-Rz and Agrobacterium-mediated transformation system. …”
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A Collaborative Transit Signal Priority Method Considering Gaming among Traffic Participants by Bing Wu, Haishan Wang, Yanli Wang, Ben Zhai, TanXing Xue

“…Different from previous studies, Co-TSP uses game theory to realize collaborative optimization, instead of transforming the problem into a single objective optimization problem by weighting. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Dual-context enhanced knowledge representation learning method in hyper-relational knowledge graphs by Jiahang Li, Qilong Han, Dan Lu, Lijie Li

“…For this purpose, HKGs are transformed into relation subgraphs, which facilitates extracting semantic and entity type contextual features. …”
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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transform... by Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li

“…These structural breaks can affect the performance of forecasting methods in various ways. Therefore, understanding and comparing different models across these scenarios is essential. …”
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Liver Semantic Segmentation Method Based on Multi-Channel Feature Extraction and Cross Fusion by Chenghao Zhang, Lingfei Wang, Chunyu Zhang, Yu Zhang, Peng Wang, Jin Li

“…Furthermore, a Channel Transformer module replaces the traditional skip connections to strengthen the interaction and fusion between encoder and decoder features, thereby reducing the semantic gap. …”
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A Small-Sample Scenario Optimization Scheduling Method Based on Multidimensional Data Expansion by Yaoxian Liu, Kaixin Zhang, Yue Sun, Jingwen Chen, Junshuo Chen

“…Therefore, this paper proposes a small-sample scenario optimization scheduling method based on multidimensional data expansion. Firstly, based on spatial correlation, the daily power curves of PV power plants with measured power are screened, and the meteorological similarity is calculated using multicore maximum mean difference (MK-MMD) to generate new energy output historical data of the target distributed PV system through the capacity conversion method; secondly, based on the existing daily load data of different types, the load historical data are generated using the stochastic and simultaneous sampling methods to construct the full historical dataset; subsequently, for the sample imbalance problem in the small-sample scenario, an oversampling method is used to enhance the data for the scarce samples, and the XGBoost PV output prediction model is established; finally, the optimal scheduling model is transformed into a Markovian decision-making process, which is solved by using the Deep Deterministic Policy Gradient (DDPG) algorithm. …”
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Application of the generalized point source method for solving boundary value problems of mathematical physics by Sergey Yu. Knyazev, Elena E. Shcherbakova

“…Materials and Methods . The proposed method is based on the transformation of the original mathematical physics equation to a simpler inhomogeneous equation with the known fundamental solution. …”
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Study on the stability of waste rock filling in goaf based on dynamic comprehensive analysis method by Gongyong Wu, Xingxin Nie, Linhai Zhao, Zongli Li

“…It specifically focused on an individual underground metal mine cavity by integrating numerical simulation analysis techniques with onsite displacement monitoring methods. By simulating stress-strain conditions during different stages of cavity formation and subsequent treatments while considering onsite displacement monitoring data, this study extensively analyzed how these treatments impact rock stress levels, strain conditions within rocks themselves, and the stability of the surface riverbed. …”
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Barriers in Proliferating Digital Technologies at Russian Companies: Causes and Effects by A. S. Melnikov, E. G. Kalabina

“…These results can be used for further investigation of different aspects of enterprises’ work and management in conditions of digital economy.…”
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The synergistic effects of circuit training and diet on weight loss, body fat percentage, and BMI in obese Indonesian females: a randomized controlled trial by Ali Muthahhari Rahim, Ahmad Nasrulloh

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Modeling dynamic and static operating modes of a low-power asynchronous electric drive by Viktor Lyshuk, Sergiy Moroz, Yosyp Selepyna, Valentyn Zablotskyi, Mykola Yevsiuk, Viktor Satsyk, Anatolii Tkachuk

“…The advantage of the proposed method of using different coordinate axes is the possibility of analyzing new variables and obtaining constant coefficients in the equations of state of the electric motor. …”
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What does “just” mean in just energy transitions? Different perspectives between EU institutional debates and scientific literature by Giacomo Chiara, Ignazio Terrana, Mauro Sarrica, Sonia Brondi

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Technical note: An approach for handling multiple temporal frequencies with different input dimensions using a single LSTM cell by E. Acuña Espinoza, F. Kratzert, D. Klotz, D. Klotz, M. Gauch, M. Álvarez Chaves, R. Loritz, U. Ehret

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Comparative efficacy of different acupuncture therapies on cancer-related insomnia: protocol for a systematic review and network meta-analysis by Xianming Lin, Liying Chen, Xinyi Shi, Shiting Xu, Zhaoxing Jia, Yaojin Tan

“…ORs with 95% CIs and mean differences with 95% CI will be calculated in OpenBUGS and transformed into league figure and surface under the cumulative ranking by Stata to visualise the results.Ethics and dissemination Ethical committee approval for this review is unnecessary since the data used will be extracted from pre-existing literature. …”
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A Rasch model based psychometric evaluation of different versions of the Minimal Insomnia Symptom Scale (MISS) among adults by Albert Westergren, Gita Hedin, Peter Hagell, Charlotte Bäccman, Annika Norell

“…Rasch model analyses focused on targeting, reliability, response category functioning, model fit, differential item functioning (DIF) and score transformation. Results The MISS and the MISS-R had good measurement properties. …”
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