Behavioral Motivation and Influencing Factors of Graduate Students Using AIGC Tool: An Empirical Analysis Based on Questionnaire Survey by Yijia WAN, Liping GU

“…On the one hand, it is suggested that they pay attention to the functional value of the tool, that is, the auxiliary role to the graduate study and scientific research; on the other hand, they consider whether the tool is design-friendly, easy to operate, with low technical threshold and easy to use on an ongoing basis. From a graduate education perspective, it is important to promote the deep integration of the tool use with one's own professional learning and research in order to realize the improvement of other qualities through information literacy. …”
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THE TIME FACTOR IN THE MODEL OF MARGINAL INCOME by A. K. Solodov

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A Review on Automated Detection and Identification Algorithms for Highway Pavement Distress by Zhenglong Lv, Zhexin Hao, Yuhan Zhu, Cong Lu

“…., 2D to 3D, ground to aerial platforms) and processing techniques (e.g., threshold-based segmentation to deep learning), highlighting critical trade-offs between speed, accuracy, and scalability. …”
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Detection and Recognition of Underwater Acoustic Communication Signal Under Ocean Background Noise by Mengyi Li, Jilong Li, Haihong Feng

“…Traditional methods require threshold adjustments based on the environment, making the application less robust. …”
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Cell-type annotation with accurate unseen cell-type identification using multiple references. by Yi-Xuan Xiong, Meng-Guo Wang, Luonan Chen, Xiao-Fei Zhang

“…Key innovations of mtANN include the integration of deep learning and ensemble learning to improve prediction accuracy, and the introduction of a new metric that considers three complementary aspects to distinguish between unseen cell types and shared cell types. …”
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L’émersiologie by Bernard Andrieu

“…Learning from the body and being taught by the body should be the conditions for an emersive somaesthetics. …”
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Highly Accurate Adaptive Federated Forests Based on Resistance to Adversarial Attacks in Wireless Traffic Prediction by Lingyao Wang, Chenyue Pan, Haitao Zhao, Mingyi Ji, Xinren Wang, Junchen Yuan, Miao Liu, Donglai Jiao

“…To safeguard traffic prediction from such attacks and ensure the reliability of the prediction system, this paper introduces the Adaptive Threshold Modified Federated Forest (ATMFF). ATMFF employs adaptive threshold modification, utilizing a confusion matrix rate-based screening-weighted aggregation of weak classifiers to adjust the decision threshold. …”
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A study of connectivity features analysis in brain function network for dementia recognition by Siying Li, Peng Wang, Zhenfeng Li, Lidong Du, Xianxiang Chen, Jie Sun, Libin Jiang, Gang Cheng, Zhen Fang

“…The K-nearest neighbors (KNN) machine learning model achieves the highest accuracy of 0.978 with the optimal subset when the threshold is 0. …”
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Navigating Fragmented Globalization: Local Content Policies in a New Trade Order by Yudan Whulanza, Eny Kusrini, Akhmad Hidayatno, Teuku Yuri M. Zagloel

“…They should be seen as a mechanism to ensure that the benefits of globalization are more widely distributed, and that technological diffusion, job creation, and industrial learning are not left to market forces alone (Chen et al., 2024). …”
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Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance by Erkan Sengonul, Refik Samet, Qasem Abu Al-Haija, Ali Alqahtani, Rayan A. Alsemmeari, Bandar Alghamdi, Badraddin Alturki, Abdulaziz A. Alsulami

“…The feature-learning stage involves training an LSTM autoencoder to capture the essential features of normal video sequences. …”
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Tri-band vehicle and vessel dataset for artificial intelligence research by Yingjian Liu, Gangnian Zhao, Shuzhen Fan, Cheng Fei, Junliang Liu, Zhishuo Zhang, Liqian Wang, Yongfu Li, Xian Zhao, Zhaojun Liu

“…The training of deep learning models relies on the construction of datasets. …”
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MATLAB Application for User-Friendly Design of Fully Convolutional Data Description Models for Defect Detection of Industrial Products and Its Concurrent Visualization by Fusaomi Nagata, Shingo Sakata, Keigo Watanabe, Maki K. Habib, Ahmad Shahrizan Abdul Ghani

“…In particular, a systematic threshold determination method is proposed to obtain the best performance for defect detection from FCDD models. …”
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Evaluating aufeis detection methods using Landsat imagery: Comparative assessment and recommendations by Julian Dann, Simon Zwieback, Paul Leonard, W. Robert Bolton

“…The first method involves empirical thresholding on snow and ice indices (2FT), while the second applies random forest (RF) machine learning methods. …”
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Implementation of mobile EEG for resting-state and visual evoked potentials in young children in rural Ethiopia by Theresa I. Chin, Theresa I. Chin, Theresa I. Chin, Winko W. An, Winko W. An, Kalkidan Yibeltal, Firehiwot Workneh, Stephen Pihl, Sarah K. G. Jensen, Sarah K. G. Jensen, Gellila Asmamaw, Nebiyou Fasil, Atsede Teklehaimanot, Krysten North, Krysten North, Sonya V. Troller-Renfree, Charles A. Nelson, Charles A. Nelson, Yemane Berhane, Anne CC Lee, Anne CC Lee, Anne CC Lee

“…This paper describes the experiences and lessons learned from implementing mobile EEG and VEP in rural Amhara, Ethiopia as part of the Longitudinal Infant Growth and Development (LIDG) study (NCT06296238). …”
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Dorsomedial and ventromedial prefrontal cortex lesions differentially impact social influence and temporal discounting. by Zhilin Su, Mona M Garvert, Lei Zhang, Todd A Vogel, Jo Cutler, Masud Husain, Sanjay G Manohar, Patricia L Lockwood

“…Participants completed a temporal discounting task to estimate their baseline discounting preferences before learning the preferences of two other people, one who was more temporally impulsive and one more patient. …”
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Theoretical analysis of low power optogenetic control of synaptic plasticity with subcellular expression of CapChR2 at postsynaptic spine by Nripesh Dixit, Gur Pyari, Himanshu Bansal, Sukhdev Roy

“…Irradiance-dependent $${Ca}^{2+}$$ flow is an additional advantage of this novel method. The minimum threshold of light irradiance and optimal ranges of time lag among different stimulations and stimulation frequencies have also been determined. …”
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A Novel Correspondence Model for Linking Objects and Texts in Construction Plans by S. Hong, S. Landgraf, M. Hillemann, M. Ulrich

“…We integrate CLIP-based models with ViT-based encoders as part of our approach to enhance feature extraction and correspondence learning. By employing a threshold-based determination, our model effectively resolves cases where a single text passage may describe multiple objects or where a single object is referenced by multiple pieces of text. …”
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Pattern Recognition in Urban Maps Based on Graph Structures by Xiaomin Lu, Zhiyi Zhang, Haoran Song, Haowen Yan

“…Current pattern recognition methods for map groups primarily fall into two categories: machine learning-based approaches and traditional methods. …”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…This methodology includes high-resolution 3D imaging, watershed segmentation, machine learning-based semantic segmentation, and netlist extraction. …”
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Hybrid Feature Selection and Classifying Stages through Electrocardiogram (ECG) Signal for Heart Disease Prediction by Babu Kumar, Radhakrishnan Soundararajan, Kanimozhi Natesan, Roobini Maridhas Santhi

“…Clinical data analysis must predict cardiovascular disease. Machine learning (ML) may aid decision making and prediction using the healthcare field’s massive data set. …”
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