Effect of Adding Gold Nanoparticles on the Anti-Candidal Activity and Release Profile of Itraconazole from Hydrogels by Radosław Balwierz, Paweł Biernat, Dawid Bursy, Mariia Shanaida, Katarzyna Kasperkiewicz, Agata Jasińska-Balwierz, Wioletta Ochędzan-Siodłak

“…The resulting formulations were incorporated into carbopol gels and their ability to diffuse through semipermeable membranes was assessed. …”
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A model adapted to predict blast vibration velocity at complex sites: An artificial neural network improved by the grasshopper optimization algorithm by Yong Fan, Guangdong Yang, Yong Pei, Xianze Cui, Bin Tian

“…To improve the prediction accuracy of the peak particle velocity (PPV), this paper combines the ability of an artificial neural network (ANN) to solve complex nonlinear function approximations and the global optimization ability of 10 metaheuristic optimization algorithms and establishes an improved ANN prediction model. …”
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Advancing dimensionality reduction for enhanced visualization and clustering in single-cell transcriptomics by P. Sanju

“…To assess the performance of CP-PaCMAP, a variety of evaluation metrics are employed, including reliability, stability, Matthew correlation coefficient, and the Mantel test. These metrics collectively demonstrate CP-PaCMAP’s superior ability to retain meaningful biological patterns compared to other state-of-the-art dimensionality reduction techniques, making it an invaluable tool for advancing single-cell transcriptomic analysis.…”
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A Novel Method for Intelligent Fault Diagnosis of Bearing Based on Capsule Neural Network by Zhijian Wang, Likang Zheng, Wenhua Du, Wenan Cai, Jie Zhou, Jingtai Wang, Xiaofeng Han, Gaofeng He

“…In order to determine the convergence condition, the three losses are combined through the weight coefficient. Finally, the proposed model and the traditional methods are, respectively, trained and tested under laboratory conditions and actual wind turbine gearbox conditions to verify the classification ability and reliable ability.…”
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Cross-cultural adaptation, reliability and validity of the persian version of the functional assessment scale for acute hamstring injuries by Mohammad Hadadi, Farzaneh Haghighat

“…Abstract Background The Functional Assessment Scale for Acute Hamstring Injuries (FASH) which measure symptom’s severity and impact on physical activity and sports ability in individuals with acute hamstring muscle injury, is not available in Persian. …”
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Adaptation of the Listening Comprehension Test to Turkish Culture by Yasemin Yüzbaşıoğlu, Halime Miray Sümer Dodur, Serpil Çelikten Demirel, Özlem Altındağ Kumaş

“…Moreover, marginal reliability coefficient shows that the measurement results were highly reliable.Discussion: It was concluded that sufficient evidence of validity and reliability was obtained for one-dimensional structure of 36-item form of the measurement tool.…”
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Enhancing Creativity and Validation in Explanatory Deep Learning-Based Symbolic Music Generation: A Hybrid Approach With LSTM and Genetic Algorithms by Ahmad Zainul Fanani, Arry Maulana Syarif, Ika Novita Dewi, Abdul Karim

“…Whether produced directly by the LSTM or refined through GA, the generated output demonstrates the system’s ability to innovate while preserving core musical characteristics. …”
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Callus induction and high-frequency plant regeneration for stem apex of Polygonum cuspidatum by DU Min-hua, WEN Zhen-zhong, YANG Ke-jin

“…With the seedling age increasing, callus induction ability reduced quickly, and induction rate was only 55.6% on 12 days. …”
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A Practical Sensor-to-Segment Calibration Method for Upper Limb Inertial Motion Capture in a Clinical Setting by Mhairi McInnes, Dimitra Blana, Andrew Starkey, Edward K. Chadwick

“…With twenty healthy participants, we used OpenSim’s inertial sensor workflow to calculate joint kinematics, and evaluated the accuracy of the method through comparison with optical motion capture.We found the new calibration method resulted in upper limb kinematics with a median RMS error of 5–8°, and a median correlation coefficient of 0.977–0.987, which was significantly more accurate than a static pose calibration (p-value < 0.001).This work has demonstrated a method of calibration which is practical for clinical applications because it is quick to perform and does not depend on the subject’s ability to perform specific movements, or on the operator’s ability to carefully place sensors.Clinical Impact: The calibration method proposed in this work is a realistic option for the translation of inertial sensor technology into everyday clinical use.…”
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Estimation of ecological adaptability and stability of promising winter barley varieties and lines in the competitive variety testing by E. G. Filippov, А. А. Dontsova, D. Р. Dontsov, I. М. Zasypkina

“…The varieties ‘Erema’, ‘Marusya’ and the line ‘Pallidum 1972’ had a higher compensatory ability. According to the analysis of adaptability, the varieties ‘Erema’, ‘Marusya’, ‘Foks 1’, as well as the line ‘Parallelum 1976’ were identified as responsive with linear regression coefficient values above one. …”
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A novel unified Inception-U-Net hybrid gravitational optimization model (UIGO) incorporating automated medical image segmentation and feature selection for liver tumor detection by Tathagat Banerjee, Davinder Paul Singh, Pawandeep Kour, Debabrata Swain, Shubham Mahajan, Seifedine Kadry, Jungeun Kim

“…The experimental outcomes show the effectiveness of UIGO with a segmentation accuracy of 99.93%, an AUC score of 99.89%, a Dice Coefficient of 0.997, and an IoU of 0.998. UIGO demonstrated higher performance than other contemporary liver tumor segmentation techniques, indicating the system’s ability to enhance clinician’s ability to deliver precise and prompt evaluations at a lower computational expense. …”
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The relationship of thinking styles and academic performance of students by O. A. Khalifaeva, N. Yu. Kolenkova, I. Yu. Tyurina, A. G. Fadina

“…In the conditions of modern Russian education, the emphasis is shifted to the ability of students to carry out non-standard professional duties and to work independently. …”
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Advanced Noise-Resistant Electrocardiography Classification Using Hybrid Wavelet-Median Denoising and a Convolutional Neural Network by Aditya Pal, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…The proposed hybrid denoising method has better results than the other methods because of the use of wavelet multi-scale analysis and the ability of the median filter to avoid the loss of vital ECG characteristics. …”
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Numerical Analysis of the Inlet and Outlet Diameter Effects on Pulsation Dynamics and Cavitation in the Lobe Pump by H. Zhou, P. Zhou, L. Meng, J. Li, C. Xiang, H. Qian

“…This shows that choosing a suitable inner diameter can reduce the cavitation tendency of the lobe pump, enhance its anti-cavitation ability, optimize the fluid flow characteristics, and thus improve its reliability and stability.…”
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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

“…Among the models evaluated, the CNN (original architecture) with BiLSTM and attention mechanisms model achieved the highest performance, with an accuracy of 92.73%, precision of 92.84%, F1 score of 92.70%, recall of 92.73%, Jaccard Index (JAC) of 87.08%, Dice Coefficient (DIC) of 92.70%, and Matthews Correlation Coefficient (MCC) of 91.55%. …”
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Variability of morphological parameters of seeds in coriander populations by A. F. Bukharov, V. A. Kharchenko, N. A. Eremina

“…Depending on the variety, the coefficient of variation of indicators varied for the length of the embryo (13.9-19.1%), the length of the endosperm (16.4-20.4%) and the length of the seed (15.7-22.1%). …”
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Evaluation of Modified Reflection Symmetry Decomposition Polarization Features for Sea Ice Classification by Tianlang Lan, Chengfei Jiang, Xiaofan Luo, Wentao An

“…In this research, backscattering coefficients were combined with FD, H/A/α, and MRSD polarization features to create eight feature combinations for comparative analysis. …”
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The Effects of Single and Bimetallic Silicon Composite Shields in Medical Imaging Methods: A Monte Carlo Study by Abbas Ali Nazeri, Reza Malekzadeh, Parinaz Mehnati, Soheila Refahi

“…Results: The results showed the beam reduction ability for both the mono- and the bimetallic composites. …”
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A 250 °C Low-Power, Low-Temperature-Drift Offset Chopper-Stabilized Operational Amplifier with an SC Notch Filter for High-Temperature Applications by Zhong Yang, Jiaqi Li, Jiangduo Fu, Jiayin Song, Qingsong Cai, Shushan Qiao

“…This paper proposes a three-stage op amp based on the SOI (silicon-on-insulator) process, which achieves a low offset voltage and temperature coefficient across a wide temperature range from −40 °C to 250 °C. …”
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Rede neural artificial aplicada à previsão de vazão da Bacia Hidrográfica do Rio Piancó Artificial neural network applied to the forecast of streamflow in the Piancó River Basin... by Wanderson dos S. Sousa, Francisco de A. S. de Sousa

“…The ANN architecture that produced the better result was RC315L with values for the determination coefficient, efficiency coefficient and standard estimate error (SEE) equal to 92.0, 77.0% and 8.29 respectively.…”
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