The effect of digital detox through digital minimalism using the MinimalistPhone app on the behavior of young users and their emotional experience by Milica Schraggeová, Daniel Bisaha

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Co-designing AI with youth partners: Enabling ideal classroom relationships through a novel AI relational privacy ethical framework by Michael Alan Chang, Mike Tissenbaum, Thomas M. Philip, Sidney K. D’Mello

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Rainfall- Runoff Modelling using HEC-HMS and ANN for Shiavde, Upper Krishna Basin, India by Aparna Deulkar, Rakeshkumar Jain, Shreenivas Londhe, Pradnya Dixit

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Fuzzy evaluation and explainable machine learning for diagnosis of rheumatic and autoimmune diseases by Mohammed Fadhil Mahdi, Arezoo Jahani, Dhafar Hamed Abd

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Open Personal Identity as a Service by Miroslav Behan

“…The service provides current fresh personal identificators which are essential in communication process.…”
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Reconstructing feedback representations in the ventral visual pathway with a generative adversarial autoencoder. by Haider Al-Tahan, Yalda Mohsenzadeh

“…While vision evokes a dense network of feedforward and feedback neural processes in the brain, visual processes are primarily modeled with feedforward hierarchical neural networks, leaving the computational role of feedback processes poorly understood. …”
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Smart design A2Zr2O7-type high-entropy oxides through lattice-engineering toughening strategy by Ying Zhang, Ke Ren, William Yi Wang, Xingyu Gao, Jun Wang, Yiguang Wang, Haifeng Song, Xiubing Liang, Jinshan Li

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Expectation generation and its effect on subsequent pain and visual perception. by Rotem Botvinik-Nezer, Stephan Geuter, Martin A Lindquist, Tor D Wager

“…Region of interest analyses showed activity consistent with aversive prediction-error-like encoding in the periaqueductal gray during pain perception, but no cue or prediction error-related responses in early perceptual processing systems. Furthermore, behavioral and computational models of the expectation session revealed that expectations construction was biased towards extreme cue values in both modalities, and towards low-pain cues specifically. …”
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Extracting representations of cognition across neuroimaging studies improves brain decoding. by Arthur Mensch, Julien Mairal, Bertrand Thirion, Gaël Varoquaux

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Mitochondrial variability as a source of extrinsic cellular noise. by Iain G Johnston, Bernadett Gaal, Ricardo Pires das Neves, Tariq Enver, Francisco J Iborra, Nick S Jones

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High-accuracy physical property prediction for pure organics via molecular representation learning: bridging data to discovery by Qi Ou, Hongshuai Wang, Minyang Zhuang, Shangqian Chen, Lele Liu, Ning Wang, Zhifeng Gao

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Phasic attractors for flexible and adaptive working memory in spiking recurrent neural networks by Willian S Girão, Thomas F Tiotto, Jelmer P Borst, Niels A Taatgen, Elisabetta Chicca

“…The core innovation of the model lies in its ability to leverage phasic attractors for state-dependent computation in a probabilistic manner. By modulating the activity of attractors via synaptic delays, the model demonstrates context-sensitive information processing. …”
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Minimizing charging task time of WRSN assisted with multiple MUVs and laser-charged UAVs by Jian Zhang, Chuanwen Luo, Ning Liu, Yi Hong, Zhibo Chen

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Comparison of EfficientNet CNN models for multi-label chest X-ray disease diagnosis by Murat Ucan, Buket Kaya, Osman Aygun, Mehmet Kaya, Reda Alhajj

“…The analysis of chest X-ray images, which are critical for the early diagnosis of many diseases, is a difficult and time-consuming process due to the multiple labeling requirements and similar looking pathologies. …”
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Semantic-Driven Approach for Validation of IoT Streaming Data in Trustable Smart City Decision-Making and Monitoring Systems by Oluwaseun Bamgboye, Xiaodong Liu, Peter Cruickshank, Qi Liu

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Experimental Investigation and Simultaneous Optimisation of Honing Parameters of Dry Cast Iron Cylinder Relining Sleeves of Motor Vehicle Engine Blocks for Surface Finish and Energ... by Nicholas Tayisepi, Lameck Mugwagwa, Albert Mnkandla, Innocent Mapindu, Takudzwa Muhla

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Adaptive filter parameter reconstruction technology for rocket inertial navigation/satellite integrated navigation system by Zhijie Yang, Guoguang Chen, Mingli Niu, Xiaolong Yan, Xiaoli Tian, Guocui Zhang

“…Initially, a precise system state model is developed to reflect the unique characteristics of the rocket flight environment, facilitating rapid convergence of the filtering process. Subsequently, during the rocket alignment process, a real-time reconstruction of filter parameters is implemented to enable adaptive and precise modeling of navigation parameters. …”
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DMPDS: A Fast Motion Estimation Algorithm Targeting High Resolution Videos and Its FPGA Implementation by Gustavo Sanchez, Felipe Sampaio, Marcelo Porto, Sergio Bampi, Luciano Agostini

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Simultaneous inference of phylogenetic and transmission trees in infectious disease outbreaks. by Don Klinkenberg, Jantien A Backer, Xavier Didelot, Caroline Colijn, Jacco Wallinga

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Application of K-means supported by clustered systems in big data association rule mining by Lihua Liu

“…However, as data volumes increase, traditional association rule mining methods are constrained to single-machine computing when processing large-scale data. These methods are unable to leverage the advantages of modern distributed computing frameworks, resulting in more significant performance bottlenecks when processing large-scale datasets. …”
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