Behavioral Analysis of EEG Signals in Loss-Gain Decision-Making Experiments by Jiaquan Shen, Ningzhong Liu, Deguang Li, Binbin Zhang

“…The experimental results show that the EEG generated after behavioral decision due to loss is more intense than that generated by gain in the medial frontal cortex (MFC). …”
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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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AFMF: adaptive fusion of multi-hop neighborhood features in graph convolutional network by Kang Liu, Xinyu Li, Lian Liu, Zhihao Xv, Aohang Pei, Runshi Ji

“…Then, we propose a feature fusion weight generation module (FFWG), which can adaptively generate fusion weights based on the above aggregated node features. …”
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A modification of Jacobson et al.'s (1997) individual branch‐antlered male method for censusing white‐tailed deer by Mark Weckel, Robert F. Rockwell, Frank Secret

“…For each sex–age group, we evaluated RPO as a function of TS using linear regression to generate photographic counts standardized by TS (standardized photographic occurrences [SPO]). …”
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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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Wrist joint proprioceptive acuity assessment using inertial and magnetic measurement systems by Lin Li, ShuWang Li, YanXia Li

“…The orientation of the joint position sense production ellipse is similar to the orientation of the range of motion ellipse, indicating that subjects generated the most accurate in directions where it is easy to generate more range of motion and the lowest accurate in directions where it is not easy to generate more range of motion. …”
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CAPTCHA Recognition Method Based on CNN with Focal Loss by Zhong Wang, Peibei Shi

“…For this reason, the paper proposes a CAPTCHA recognition method based on convolutional neural network with focal loss function. This method improves the traditional VGG network structure and introduces the focal loss function to generate a new CAPTCHA recognition model. …”
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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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Rapid mutation of endogenous zebrafish genes using zinc finger nucleases made by Oligomerized Pool ENgineering (OPEN). by Jonathan E Foley, Jing-Ruey J Yeh, Morgan L Maeder, Deepak Reyon, Jeffry D Sander, Randall T Peterson, J Keith Joung

“…<h4>Methodology/principal findings</h4>Here we show that OPEN can also be used to generate ZFNs that function efficiently in zebrafish. …”
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SOURCES OF CONFLICTS WITHIN ORGANIZATIONS AND METHODS OF CONFLICT RESOLUTION by Iuliana TALMACIU, Mihaela MĂRĂCINE

“…More and more specialists believe that conflict management is as important as the other management functions. …”
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Optimization design on process parameters of copper wire bonding for power modules by HU Biao, CHENG Lanxian, LI Zhenling, DAI Xiaoping

“…Secondly, a prediction model of copper wire bonding performance was constructed using the BP neural network, and the optimal values of process parameters were generated by solving the BP neural network fitness function with GA. …”
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GROG Facilitated Compressed Sensing for Radial MRI by Yumna Bilal, Ibtisam Aslam, Muhammad Faisal Siddiqui, Omair Inam, Kashif Amjad, Jawad Hasan Alkhateeb, Hammad Omer

“…Addressing these challenges typically involves the use of a GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) operator generated Bunched Phase Encoding data together with a conjugate gradient (CG) reconstruction algorithm, that mimics the functionality of the oscillating gradients required for bunched phase encoding sampling. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…The warning thresholds were applied to 211 QC reports generated in 2023, of which 19.9% (n=42) triggered warnings. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…Only one database scan is required, and frequent itemsets are directly generated without generating candidate itemsets, greatly improving the efficiency of the algorithm; Introducing weights into the improved Apriori algorithm and designing a weighted support function, by assigning different weights to different itemsets, more accurately reflects the importance and differences of itemsets in practical applications, thereby improving the accuracy of frequent item mining. …”
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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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Large language models for efficient whole-organ MRI score-based reports and categorization in knee osteoarthritis by Yuxue Xie, Zhonghua Hu, Hongyue Tao, Yiwen Hu, Haoyu Liang, Xinmin Lu, Lei Wang, Xiangwen Li, Shuang Chen

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Distinct types of fibrocyte can differentiate from mononuclear cells in the presence and absence of serum. by S John Curnow, Marianne Fairclough, Caroline Schmutz, Steve Kissane, Alastair K O Denniston, Kate Nash, Christopher D Buckley, Janet M Lord, Mike Salmon

“…The differentiation of fibrocytes remains poorly characterised and this has limited understanding of their biology and function. In particular two methods are used to generate fibrocytes in vitro that differ fundamentally by the presence or absence of serum.…”
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COVID-19 Diagnosis Using Spectral and Statistical Analysis of Cough Recordings Based on the Combination of SVD and DWT by Thabit Sultan Mohammed, Awni Ismail Sultan, Khattab M. Ali Alheeti, Karim Mohammed Aljebory, Hasan Ismail Sultan, Muzhir Shaban Al-Ani

“… Healthcare professionals routinely use audio signals, generated by the human body, to help diagnose disease or assess its progression. …”
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Formation of spatial vegetation patterns in heterogeneous environments. by Karl Kästner, Daniel Caviedes-Voullième, Christoph Hinz

“…However, such model-generated patterns are considerably more regular than natural patterns, which indicates that the concept of autogenous pattern formation is incomplete. …”
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An Image Encryption Method Based on the Feistel Network and Dynamic DNA Encoding by Xuncai Zhang, Zheng Zhou, Ying Niu

“…First, the SHA-3 algorithm is used to calculate the hash value of the plaintext image as the initial value of the hyperchaotic system, and the chaos-generated sequence is used to generate the Hill cipher matrix to replace the image pixel. …”
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