Automatic setting optimization for robotic upper-extremity rehabilitation in patients with stroke using ReoGo-J: a cross-sectional clinical trial by Takashi Takebayashi, Yuki Uchiyama, Kazuhisa Domen

“…The results were analyzed using the graded response model, an extension of the two-parameter logistic model within the framework of the item response theory, to grade the training items based on ability of the patients. The relationship between the predicted ability, an indicator of the predicted ability the paralyzed upper-extremity to perform an item in the item response theory analysis (higher numbers indicate higher ability, lower numbers indicate lower ability), and the items in the Fugl–Meyer assessment (FMA), which indicate the degree of paralysis, was analyzed using Pearson’s correlation coefficient. …”
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JPEG reversible data hiding method based on optimal DCT frequency embedding by Ziyang ZHOU, Yun TAN, Jiaohua QIN, Xuyu XIANG

“…Joint photographic experts group (JPEG) images are widely used on the Internet due to their ability to maintain good picture quality while requiring less storage space.Reversible data hiding (RDH) techniques for JPEG images enable the hiding and extraction of secret information while allowing for lossless restoration of the original image.RDH is of great significance in file management and image authentication.However, many existing RDH methods result in a significant increase in the storage space of the encoded image after embedding secret information.For methods based on discrete cosine transform (DCT) coefficient embedding, the key issue that affects the performance of reversible information hiding in JPEG images is how to select the frequency band position.A reversible information hiding method for JPEG images was proposed, based on optimal DCT frequency embedding.The entropy decoded JPEG image was divided into 8×8 non-overlapping DCT blocks.The average texture complexity of each DCT block was calculated and ordered in ascending order.Then the alternating current (AC) in adjacent DCT blocks was paired pairwise.By satisfying the capacity of the information to be embedded, the optimal AC coefficient frequency position set was obtained from the distortion cost function of the AC coefficient frequency.The secret information was embedded according to the designed two-dimensional histogram mapping strategy.Experimental results demonstrate that the proposed method can reduce the expansion of the loaded image file’s storage size compared to existing methods, while maintaining good visual quality of the cover image.…”
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Effect of Relative Humidity on Tribological and Mechanical Properties of PA6-Based Composites by Baráth Martin, Kotus Martin, Boszorádová Lucia, Baláži Juraj, Hrabovský Leopold, Pravda Štěpán

“…For Onyx, higher humidity led to substantial drops in tensile strength (0.911 correlation coefficient value) and increases in elongation (0.603 correlation coefficient value). …”
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Adsorption of Some Alephatic Dicarboxylic Acids on Zinc Oxide: A kinetic and Thermodynamic Study by Saddam M. Al-Mahmoud

“…Variation of temperature as a function of adsorption efficiency showed that increasing the temperature would result in decreasing the adsorption ability. …”
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Research on the Liquor Yield Prediction Model Integrating Hybrid Kernel Support Vector Regression and Dung Beetle Optimizer by Qinwen Deng, Yibo Xu, Qiang Han, Suyi Zhang, Xianguo Tuo

“…The results show that the root mean square error (RMSE) and coefficient of determination for the multiple linear regression model were 0.1295 and 0.6987, respectively; for the DBO-optimized radial basis function, the RMSE and coefficient of determination were 0.0824 and 0.7268. …”
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KPLS Optimization With Nature-Inspired Metaheuristic Algorithms by Jorge Daniel Mello-Roman, Adolfo Hernandez

“…Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the number of components of the KPLS regression to maximize its predictive ability. …”
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DeepB3P: A transformer-based model for identifying blood-brain barrier penetrating peptides with data augmentation using feedback GAN by Qiang Tang, Wei Chen

“…This poses substantial challenges for central nervous system (CNS) drug development, as there is a lack of efficient drug delivery technologies to overcome this obstacle. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The proposed model is efficient and has a high predictive ability. High-quality forecasting of delivery time is possible without the use of extensive databases and powerful computing resources. …”
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An intelligent non-destructive method to identify the quality of self-compacting concrete based on convolutional neural networks via image recognition by Zhong Xiao, Zixuan Liu, Xuying Guo, Jun Liu

“…The R2 of the proposed optimal CNN model can achieve 0.9987 with superior accuracy and strong generalization ability. It can provide a convenient and cheap method for the project management departments to achieve the intelligent, non-destructive and efficient supervision of concrete quality inspection.…”
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DualPlaqueNet with dual-branch structure and attention mechanism for carotid plaque semantic segmentation and size prediction by Lili Deng, Xingyu Duan, Yongxiang Sun, Yunling Wang, Dongmei Song, Xiaokai Duan

“…For plaque size prediction, this model demonstrated lower MSE and MAE, along with a higher coefficient of determination R2, proving its ability to accurately extract plaque size information from ultrasound images.ConclusionThe dual-branch design and attention mechanisms of DualPlaqueNet effectively address the challenges of ultrasound images, achieving precise segmentation and size prediction, demonstrating its potential as an auxiliary tool for future clinical applications.…”
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Prediction of Carbonate Reservoir Porosity Based on CNN-BiLSTM-Transformer by Yingqiang Qi, Shuiliang Luo, Song Tang, Jifu Ruan, Da Gao, Qianqian Liu, Sheng Li

“…As a key indicator for reservoir characterization and evaluation, accurate and efficient porosity prediction is crucial for the exploration and development of oil and gas in carbonate reservoirs. …”
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Modified polyvinylidene fluoride membranes for effective removal of iron ions (Fe2+) from water by Halyna Bubela, Viktoriia Konovalova, Joanna Kujawa, Wojciech Kujawski

“…Paper introduces an efficient technique for removing excess Fe(II) ions from water using modified polyvinylidene fluoride membranes. …”
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Parameter Sensitivity Analysis and Irrigation Regime Optimization for Jujube Trees in Arid Regions Using the WOFOST Model by Shihao Sun, Yingjie Ma, Pengrui Ai, Ming Hong, Zhenghu Ma

“…Path analysis using segmented structural equations also showed that water stress factor (SWF) and potassium nutrition index (K_status) indirectly controlled yield by significantly affecting photosynthesis (path coefficients: 0.72 and 0.75, respectively). The ability of the crop model to simulate the growth process and yield of jujube trees was improved by the introduction of water and potassium parameters (R² = 0.94–0.96, NRMSE = 4.1–12.2%). …”
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Slope Deformation Prediction Combining Particle Swarm Optimization-Based Fractional-Order Grey Model and <i>K</i>-Means Clustering by Zhenzhu Meng, Yating Hu, Shunqiang Jiang, Sen Zheng, Jinxin Zhang, Zhenxia Yuan, Shaofeng Yao

“…Overall, the proposed model offers a robust and data-efficient solution for slope deformation prediction, providing substantial potential for early warning systems and risk management.…”
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Advanced Hybrid Brain Tumor Segmentation in MRI: Elephant Herding Optimization Combined with Entropy-Guided Fuzzy Clustering by Baiju Karun, Arunprasath Thiyagarajan, Pallikonda Rajasekaran Murugan, Natarajan Jeyaprakash, Kottaimalai Ramaraj, Rakhee Makreri

“…Overall, the findings reveal the potential of this hybrid approach to advance MRI-based tumor detection, offering a promising tool that enhances both accuracy and computational efficiency for medical imaging and diagnosis.…”
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Adaptive Dual Droop Control Strategy of VSC-HVDC for Supporting Frequency Stability of Sending-End System with Renewable Energy by ZHANG Zhaoyang, GAO Bingtuan, SUO Zhiwen, JIANG Weiyong, TENG Sudan, ZHANG Pu

“…For the DC voltage droop control， via the coupling relationship between DC voltage and active power using virtual inertia technology， the DC adaptive coefficient was designed as the adaptive virtual inertia coefficient based on the frequency deviation and the rate of change of frequency to enhance the system’s ability to suppress frequency fluctuations. …”
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Harnessing image processing for precision disease diagnosis in sugar beet agriculture by Varucha Misra, A.K. Mall

“…By capitalizing on the ability of image processing to differentiate coloured objects, this approach facilitates the accurate determination of disease severity, enabling timely intervention measures. …”
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Ultrasonic detection of melting and debonding of interface between skin and ice layer by WANG Yuan, ZHANG Yang, WANG Yan, ZHU Chengxiang, ZHU Chunling

“…The ultrasonic reflection coefficient of interface between skin and ice layer is proposed to evaluate the degree of ice melting. …”
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EXPLORING THE CORRELATION BETWEEN GAIT SPEED AND BALANCE IN LIMB PROSTHESIS USERS: A PILOT STUDY by Abdullah Alhuzaymi, Goeran Fiedler

“…Research in the general population suggests that the ability to walk fast is correlated to good performance in balance tests. …”
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Research on dual motor synchronous control method for mining electric locomotive by FENG Gaoming, ZHOU Qingkai, TAN Xingguo

“…Secondly，a sliding mode disturbance observer was designed to observe and compensate the external disturbances of the motor，so as to improve the system's anti-interference performance. Then，the coupling coefficient in the traditional cross coupling control structure was improved to an adaptive coefficient to alleviate the contradiction between steady-state performance and transient compensation effect. …”
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