Transfer learning nonlinear plasma dynamic transitions in low dimensional embeddings via deep neural networks by Zhe Bai, Xishuo Wei, William Tang, Leonid Oliker, Zhihong Lin, Samuel Williams

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Observation and enhancement of room temperature bilinear magnetoelectric resistance in sputtered topological semimetal Pt3Sn by Yihong Fan, Zach Cresswell, Yifei Yang, Wei Jiang, Yang Lv, Thomas J. Peterson, Delin Zhang, Jinming Liu, Tony Low, Jian-Ping Wang

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Use of pattern recognition in photoacoustic imaging to identify neuronal ensembles in the prefrontal cortex of rats undergoing conditioned fear learning by Shane A. Perrine, Mohammad Beirami, James I. Matchynski, Rayyan Manwar, Srinivasu Kallakuri, Alana C. Conti, Kamran Avanaki

“…These findings suggest that while the PFC is involved equally in novelty-exposure and fear learning, only highly coordinated behavioral tasks engage the PFC in a homogenous pattern of activity. …”
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Study on the Strategy of Playing Doudizhu Game Based on Multirole Modeling by Shuqin Li, Saisai Li, Hengyang Cao, Kun Meng, Meng Ding

“…Role modeling learns different roles and behaviors by using a convolutional neural network. …”
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A Review of the Recent Trends in Mobile Malware Evolution, Detection, and Analysis by Seetah Almarri, Alanoud Bodokhi, Mounir Frikha

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Homophily and social influence as mechanisms of loneliness clustering in social networks by B. D. L. Châtel, R. Quax, G. Peeters, R. Corten, M. G. M. Olde Rikkert, V. V. Vasconcelos

“…This study investigates how homophily (similarity-based connectivity) and induction (interacting mental states) contribute to loneliness clustering. Using a computational model, we simulate social network interactions via established induction frameworks: emotional, behavioral, and cognitive contagion. …”
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Dynamics Versus Feedback Delay Time in Photonic Integrated Circuits: Mapping the Short Cavity Regime by Andreas Karsaklian Dal Bosco, Shoma Ohara, Naoki Sato, Yasuhiro Akizawa, Atsushi Uchida, Takahisa Harayama, Masanobu Inubushi

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One-dimensional and two-dimensional dynamics of cubic maps by Djellit Ilhem, Kara Amel

“…We concentrate on the dynamics of one-dimensional and two-dimensional cubic maps, it describes how complex behaviors can possibly arise as a system parameter changes. …”
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AI-based prediction of traffic crash severity for improving road safety and transportation efficiency by Ayman Mohamed Mostafa, Bader Aldughayfiq, Mayada Tarek, Alaa S. Alaerjan, Hisham Allahem, Murtada K. Elbashir, Mohamed Ezz, Eslam Hamouda

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Quantifying Psychological Sophistication of Malicious Emails by Theodore Tangie Longtchi, Rosana Montanez Rodriguez, Kora Gwartney, Ekzhin Ear, David P. Azari, Christopher P. Kelley, Shouhuai Xu

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Hidden Multistability in a Memristor-Based Cellular Neural Network by Birong Xu, Hairong Lin, Guangyi Wang

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Resilient Multi-Dimensional Consensus and Containment Control of Multi-UAV Networks in Adversarial Environments by Peng Zhang, Zhenghua Liu, Kai Li, Sentang Wu, Lianhe Luo

“…Based on the proposed method, a distributed local control protocol is designed with lower computational complexity and higher tolerance of adversarial nodes. …”
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You have a notification: the role of push notifications in shaping students’ engagement, self-regulation and academic procrastination by Bayram Berkay Mumcu, Ayça Çebi

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Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: A paradigm shift in cybersecurity assessment by Semi Yulianto, Benfano Soewito, Ford Lumban Gaol, Aditya Kurniawan

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An Efficient and Robust Numerical Solver for Impulsive Control of Fractional Chaotic Systems by Zahra Moniri, Behrouz Parsa Moghaddam, Morteza Zamani Roudbaraki

“…Moreover, the effect of impulsive behaviors is shown for various values of impulsive.…”
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Optical Solitons and Single Traveling Wave Solutions for the Fiber Bragg Gratings with Generalized Anticubic Nonlinearity by Dan Chen, Zhao Li

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Decoding Poultry Welfare from Sound—A Machine Learning Framework for Non-Invasive Acoustic Monitoring by Venkatraman Manikandan, Suresh Neethirajan

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Application and Development of Artificial Intelligence in Dentistry by Karthik Madhavan, M. Pavani

“…Artificial intelligence (AI) is the intelligence of the machine and the branch of computer science that enables its creation. The technology enables a machine to simulate human behaviors and perform complex tasks. …”
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Predictive learning rules generate a cortical-like replay of probabilistic sensory experiences by Toshitake Asabuki, Tomoki Fukai

“…However, how cortical neural networks encode internal models into spontaneous activity is poorly understood. Recent computational and experimental studies suggest that a cortical neuron can implement complex computations, including predictive responses, through soma–dendrite interactions. …”
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Single-neuron spiking variability in hippocampus dynamically tracks sensory content during memory formation in humans by Leonhard Waschke, Fabian Kamp, Evi van den Elzen, Suresh Krishna, Ulman Lindenberger, Ueli Rutishauser, Douglas D. Garrett

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