Rice Leaf Disease Image Enhancement Based on Improved CycleGAN by YAN Congkuan, ZHU Dequan, MENG Fankai, YANG Yuqing, TANG Qixing, ZHANG Aifang, LIAO Juan

“…This addition enabled the deep learning model to more accurately measure perceptual differences between the generated images and real images, thereby guiding the network towards producing higher-quality samples. …”
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VISUALIZATION AND QUANTITATIVE CHARACTERIZATION OF SMALL OBJECTS IN A LENS ACOUSTIC MICROSCOPE WITH A TWO-DIMENSIONAL ARRAY by S. A. Titov, A. N. Bogachenkov

“…On the basis of the paraxial approximation it was found that the recorded spatio-temporal signal of the microscope ultrasonic array can be treated as an estimation of the scattering function of visualized objects. It was theoretically established that the scattering functions of the observed inhomogeneities can be used for the interpretation of the generated acoustic images. …”
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New Lifetime Distribution and its Application to Cancer Data by Samuel Adewale ADEROJU, Nihimat Iyebuhola Aleshinloye, Bako Lukmon Taiwo, Bello Ishola Sanni

“…Some of its mathematical properties such as the density function, cumulative distribution function, survival function, hazard rate function, moment generating function, Renyi entropy and order statistics are obtained. …”
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No evidence for cardiac dysfunction in Kif6 mutant mice. by Abdul Hameed, Ellen Bennett, Barbara Ciani, Loes P C Hoebers, Roy Milner, Allan Lawrie, Sheila E Francis, Andrew J Grierson

“…We sought to investigate the impact of a deleterious KIF6 mutation on cardiac function in mice. Kif6 mutant mice were generated and verified. …”
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Exploring cognitive strategies in human-AI interaction: ChatGPT's role in creative tasks by Jelle Boers, Terra Etty, Martine Baars, Kim van Boekhoven

“…This study investigated the cognitive strategies employed by dyads when utilizing ChatGPT's examples to generate ideas in creative tasks. Fourteen university students generated ideas for both function-first and form-first creative tasks in interaction with ChatGPT. …”
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An intelligent prediction method of gas concentration in coal mines based onimproved TCN-TimeGAN by Qingsong HU, Shuo ZHENG, Shiyin LI, Yanjing SUN

“…The experiment results show that the data generated by the proposed model can cover the original data distribution more comprehensively, and the mean square error (MSE), root mean square error (RMSE) and mean absolute error (MAE) of the results predicted from the generated data by the improved model are much smaller than those of the comparison model, and the prediction can be stable and accurate in all time periods.…”
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Ship local path planning method based on three-dimensional potential field model by Qunpeng WANG, Longhao LI, Hongxu GUAN, Jialun LIU, Jianzhe CAI, Zhengrong SHA, Jinshui ZHANG

“…Objectives To make local path planning algorithms more consistent with the maneuvering characteristics of ships, thereby generating safer and more reliable reference paths, this paper proposes a three-dimensional potential field modeling method. …”
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A novel bivariate regression model derived from the clayton copula and the Odd Dagum-G family and its application by Julius Kwaku Adu-Ntim, Akoto Yaw Omari-Sasu, Maxwell Akwasi Boateng, Isaac Adjei Mensah

“…This study presents a new bivariate regression model that is generated from the Clayton Copula and the Odd Dagum-G (OddD-G) family. …”
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Tie-Breaking Rule Based on Partial Proof of Work in a Blockchain by Akira Sakurai, Kazuyuki Shudo

“…Our method is a tie-breaking rule that uses partial proof of work, which does not function as a block, as a time standard with finer granularity. …”
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Research on acoustic emission characteristics and mechanical properties of shale under uniaxial and conventional triaxial compression by Wenjie Wu, Chee-Ming Chan, Xiaopeng Su, Yilei Gu, Mingqing Liu, Weijia Shao

“…In the residual stage, the AE signals generated under low confining pressure are more than those under high confining pressure. …”
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Effect of cochlea damage on the detection of difference tone in signal envelope by M. Kordus

“…Results demonstrated that cochlear damage had no large effect on the nonlinearity in the AM envelope indicating that the distortion component must be generated by a more central non linear effects.…”
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory by Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

“…Then, the initial saliency map is generated. After the weighted superposition of the initial saliency map, the local entropy map and the gray scale map, the final saliency map can be generated using the nonlinear function, and it can effectively highlight the foreground information of the image. …”
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Variational Image Denoising Approach with Diffusion Porous Media Flow by Tudor Barbu

“…One designs here a nonlinear filter for image noise reduction based on the diffusion flow generated by the porous media equation ∂u/∂t=Δβ(u), where β is a nonlinear continuous function of the form β(u)=λum, 0<m<1. …”
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Vibrational spectra for an extended cosine hyperbolic type potential model by C.A. Onate, Ituen B. Okon, E.S. Eyube, E. Omugbe, E.S. William, A.D. Ahmed, E.P. Inyang

“…The radial Schrödinger equation is solved for an extension of a cosine hyperbolic type potential using the parametric Nikiforov-Uvarov method to obtain the energy equation and wave function. Using the condition of the diatomic molecular potential function, the screening parameter was calculated to suit the computations for different molecules. …”
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Unilateral chewing of foods. Analysis of energy balance and peak power of the mandibular elevator muscles by Przemysław Stróżyk, Jacek Bałchanowski

“…The results indicate that (1) food height and texture significantly affect muscle energy and (2) the masticatory and medial pterygoid muscles generate more incredible energy and peak power on the working side than on the non working side, while the opposite was observed for the temporalis muscle and (3) comparative analysis showed that food position on the dental arch has a more significant effect on muscle peak power for foods with high texture heterogeneity than for foods with low texture heterogeneity.…”
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Cardiac disease diagnosis based on GAN in case of missing data. by Xing Chen, Na Zhang, Xiaohui Yang, Chunyan Wang, Qi Na, Tianyun Luan, Wendi Zhu, Chenjie Zhang, Chao Yang

“…Furthermore, the distribution deviation between the generated data and the real data is integrated into the loss function of the generative adversarial networks, improving their training stability and ensuring consistency between the generated data and the real data distribution. …”
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Media Matters: How Information Release Shapes Monkeypox Vaccination Willingness by Huan Wang, Nan Wu

“…Compared to thematic framing, episodic framing generally enhances respondents’ willingness to vaccinate. Furthermore, user-generated media exhibited a more negative effect on vaccination intentions during the Monkeypox epidemic, particularly when combined with episodic framing. …”
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From Density to Efficiency: Exploring Urban Building Use Efficiency in 35 Large Chinese Cities by Tingting He, Shanshan Cao, Youpeng Lu, Maoxin Zhang, Andong Guo, Boyu Liu

“…Second, in cities in the western and northeastern areas, a smaller amount of urban function was generated per unit of newly constructed building volume, indicating that newly increased buildings are less efficient. …”
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Hyperspectral RGB Imaging Combined With Deep Learning for Maize Seed Variety Identification by Jian Li, Fan Xu, Shaozhong Song, Qi Ji, Junling Liu

“…After that, we improved the classic ResNet50 model by adding the coordinate attention (CA) mechanism to the end of each residual block and replacing the global ReLU activation function with SiLU. This improvement enabled the model to capture more precise and detailed features while enhancing its predictive capability. …”
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Prediction of mutational tolerance in HIV-1 protease and reverse transcriptase using flexible backbone protein design. by Elisabeth Humphris-Narayanan, Eyal Akiva, Rocco Varela, Shane Ó Conchúir, Tanja Kortemme

“…We find the model correctly captures a considerable fraction of protease and reverse-transcriptase mutational tolerance and shows comparable accuracy using either experimentally determined or computationally generated structural ensembles. Predictions of tolerated sequence space afforded by the model provide insights into stability-function tradeoffs in the emergence of resistance mutations and into strengths and limitations of the computational model.…”
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