Unlocking Potential Score Insights of Sentimental Analysis with a Deep Learning Revolutionizes by Ibrahim R. Alzahrani

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Photonics-Based Wideband Microwave Phase Shifter by Xudong Wang, Tong Niu, Erwin Hoi Wing Chan, Xinhuan Feng, Bai-ou Guan, Jianping Yao

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Research Advances on Distributed Acoustic Sensing Technology for Seismology by Alidu Rashid, Bennet Nii Tackie-Otoo, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Siti Nur Fathiyah Jamaludin, Dejen Teklu Asfha

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Benchmarking Open-Source Large Language Models for Sentiment and Emotion Classification in Indonesian Tweets by Arbi Haza Nasution, Aytug Onan, Yohei Murakami, Winda Monika, Anggi Hanafiah

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Heat treatment and its effect on machining induced surface roughness of cast and additive manufactured AlSi10Mg by Amith K. V., Satish Shenoy Baloor, Ashwin Polishetty, Gururaj Bolar, Arun N. Govindhan

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Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning Reveals the Giant Exoplanet AF Lep b in High-contrast Imaging Data from 2011 by Markus J. Bonse, Timothy D. Gebhard, Felix A. Dannert, Olivier Absil, Faustine Cantalloube, Valentin Christiaens, Gabriele Cugno, Emily O. Garvin, Jean Hayoz, Markus Kasper, Elisabeth Matthews, Bernhard Schölkopf, Sascha P. Quanz

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Exploring Technology-Supported Peer-Written Feedback in an L2 Chinese Collaborative Writing Project in Google Docs by Mengying Zhai

“…The incorporation of Google Docs into PWF allowed students to actively engage in the feedback process and language choice deliberations. This study adds to the body of evidence that PWF used during CW supports L2 learning and sheds light on the merits of incorporating computer-mediated collaboration tools into PWF in L2 writing classrooms.…”
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Impact of Augmented Reality and Game-Based Learning for Science Teaching: Lessons from Pre-Service Teachers by Valerie Czok, Holger Weitzel

“…This indicates that AR and game-based learning support the learning process and strengthen learners’ computer self-efficacy. …”
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GLS-YOLO: A Lightweight Tea Bud Detection Model in Complex Scenarios by Shanshan Li, Zhe Zhang, Shijun Li

“…However, achieving precise harvesting requires complex computational models, which can limit practical deployment. …”
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Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

“…Brain-computer interfaces (BCI) and neurolinguistics have become vital areas of scientific inquiry, focusing on neural mechanisms in language acquisition. …”
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The use of co-design with young people for digital mental health support development: A systematic review by Órla McGovern, Shauna Glennon, Isobel Walsh, Pamela Gallagher, Darragh McCashin

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Application of Taguchi Method in Design of Surface Eddy Current Probes for Diagnostics of Power Equipment by Halchenko V. Ya., Trembovetska R.V., Tychkov V.V.

“… The article’s aim is to create a method of reducing the influence on the surface eddy current probes output signal of a number of interfering parameters without their elimination, to ensure its stability, which is achieved as a result of computer search of design and operating values of probes Taguchi-parameters at the stage of their design. …”
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INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS by L. P. Ananyeva

“…In SS, lung injury is due to an arterial lesion and/or a fibrotic process in the lung parenchyma and occurs as two major syndromes that are rarely concurrent in one patient; these are pulmonary arterial hypertension and interstitial lung disease (ILD). …”
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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

“…In this work, we develop a novel computational method, referred to as SCT-Z-FDTD, which integrates the Z-transform finite-difference time-domain algorithm with a scale-compressed technique incorporating wave vectors. …”
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MediScan: A Framework of U-Health and Prognostic AI Assessment on Medical Imaging by Sibtain Syed, Rehan Ahmed, Arshad Iqbal, Naveed Ahmad, Mohammed Ali Alshara

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A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection by Yajnaseni Dash, Sudhir C. Sarangi, Vinayak Gupta, Naween Kumar, Ajith Abraham

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Cross-Subject Transfer Learning for Boosting Recognition Performance in SSVEP-Based BCIs by Yue Zhang, Sheng Quan Xie, Chaoyang Shi, Jun Li, Zhi-Qiang Zhang

“…Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have been substantially studied in recent years due to their fast communication rate and high signal-to-noise ratio. …”
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Ultrasound Transmission Tomography Imaging of Structure of Breast Elastography Phantom Compared to US, CT and MRI by Krzysztof OPIELIŃSKI, Piotr PRUCHNICKI, Tadeusz GUDRA, Przemysław PODGÓRSKI, Tomasz KRAŚNICKI, Jacek KURCZ, Marek SĄSIADEK

“…The obtained examination results indicate that, if the scanning process is accelerated, ultrasound transmission tomography method can be successfully used to detect and diagnose early breast malignant lesions. …”
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MONITORING SYSTEM INTERFACE DESIGN BASED ON TYPOLOGY by Zhou Tianyu, Olga Volodymyrivna Yezhova

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Fokker-Planck Central Moment Lattice Boltzmann Method for Effective Simulations of Fluid Dynamics by William Schupbach, Kannan Premnath

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