Relationship of positive valence WOM and customer loyalty in social media: trust, value co-creation, and brand image as mediators by Rhian Indradewa, Aris Riyanto

“…Managerial implications applicable to the education sector include the notion that a good level of positive valence WOM will enhance proactive attitudes in teaching and learning activities, as well as foster collaborative knowledge creation. …”
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Self-Administered Information Sharing Framework Using Bioinspired Mechanisms by Huibo Bi, Yanyan Chen, Wen-Long Shang, Chengcheng Song, Wenbo Huang

“…However, data packet behaviours and significant parameters involved are mostly preconfigured in a supervised-learning fashion rather than using an unsupervised learning paradigm and therefore may not adapt to uncertain or fast-changing environments. …”
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A Bichannel Transformer with Context Encoding for Document-Driven Conversation Generation in Social Media by Yuanyuan Cai, Min Zuo, Qingchuan Zhang, Haitao Xiong, Ke Li

“…Previous studies usually use sequence-to-sequence learning with recurrent neural networks for response generation. …”
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A large histological images dataset of gastric cancer with tumour microenvironment annotation for AI by Shenghan Lou, Jianxin Ji, Huiying Li, Xuan Zhang, Yang Jiang, Menglei Hua, Kexin Chen, Kaiyuan Ge, Qi Zhang, Liuying Wang, Peng Han, Lei Cao

“…Additionally, we explained two deep learning models used as validation examples using this dataset.…”
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Building a Framework for Visual Question Answering Systems by Maya Abu Hamoud, Wasim Safi

“…VQA (Visual Question Answering) systems are among the latest advancements in the fields of artificial intelligence and deep learning. They integrate image processing with natural language understanding to enable intelligent systems to answer questions related to image content. …”
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Convolutional Neural Network for Seizure Detection of Nocturnal Frontal Lobe Epilepsy by Fabio Pisano, Giuliana Sias, Alessandra Fanni, Barbara Cannas, António Dourado, Barbara Pisano, Cesar A. Teixeira

“…Moreover, the same CNN architecture has been used to develop a cross-patient seizure detection system, resorting to the transfer-learning paradigm. Starting from a patient-specific model, few data from a new patient are enough to customize his model. …”
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Adaptive CNN Ensemble for Complex Multispectral Image Analysis by Syed Muslim Jameel, Manzoor Ahmed Hashmani, Mobashar Rehman, Arif Budiman

“…Multispectral image classification has long been the domain of static learning with nonstationary input data assumption. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Multi-key fully homomorphic encryption (MK-FHE) technology supports homomorphic operations on ciphertexts encrypted with different keys, and can be directly applied to real-world multi-user data fusion computing scenarios, such as multi-party collaborative computing and federated learning. At present, mainstream multi-key fully homomorphic encryption mainly uses bootstrapping technology to achieve multi-key homomorphic computing of LWE (learning with errors) encrypted ciphertexts. …”
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Power Spectral Density and Functional Connectivity Changes due to a Sensorimotor Neurofeedback Training: A Preliminary Study by Juan L. Terrasa, Guzmán Alba, Ignacio Cifre, Beatriz Rey, Pedro Montoya, Miguel A. Muñoz

“…Neurofeedback is a form of neuromodulation based on learning to modify some aspects of cortical activity. …”
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Enhancing depression recognition through a mixed expert model by integrating speaker-related and emotion-related features by Weitong Guo, Qian He, Ziyu Lin, Xiaolong Bu, Ziyang Wang, Dong Li, Hongwu Yang

“…We then apply transfer learning to extract both features from a depression dataset, followed by fusion. …”
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Comparison of CBCT Prescriptions among Different Campuses of East Carolina University School of Dental Medicine by Cody C. Phen, Gerard A. Camargo, Wenjian Zhang

“…East Carolina University School of Dental Medicine (ECU SoDM) has established a unique education model that delivers the dental curriculum through student rotations at community service learning centers (CSLCs) in underserved areas across North Carolina in their senior year. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…The use of big data analytics, artificial intelligence, and machine learning allows tourism businesses to gain deep insights into customer preferences and behaviors. …”
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Première observation d’un comportement de Leaf Swallowing chez des chimpanzés vivant en captivité à la Réserve Africaine de Sigean, France by Nathan Cazelles-Durand, Ulrich Maloueki, Lyna Rachid, Marielle Beltrame, Fanny Juillard, Désiré Musuyu-Muganza

“…This observation of LS behavior in naive chimpanzees supports the theory of a predisposition to the realization of LS with rough leaves, probably by individual learning. We also note the important role of social learning (facilitation and imitation) in the LS behaviour spread within the group. …”
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miRNA-Disease Association Prediction with Collaborative Matrix Factorization by Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

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Development of General Chemistry Teaching Materials Using the PjBL-STEM Model to Enhance Students' Creative Thinking Skills by Jamalum Purba, Freddy Tua Musa Panggabean, Ani Sutiani

“…This necessitates lecturers designing and developing learning processes that actively engage students while fostering their creative thinking abilities. …”
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Visually-guided compensation of deafening-induced song deterioration by Manon Rolland, Anja T. Zai, Anja T. Zai, Richard H. R. Hahnloser, Richard H. R. Hahnloser, Catherine Del Negro, Nicolas Giret

“…Human language learning and maintenance depend primarily on auditory feedback but are also shaped by other sensory modalities. …”
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An overlapping sliding window and combined features based emotion recognition system for EEG signals by Shruti Garg, Rahul Kumar Patro, Soumyajit Behera, Neha Prerna Tigga, Ranjita Pandey

“….; selecting a suitable machine learning/deep learning model; improving the accuracy of the applied model.…”
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Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions by Ying Jia He, Pin Lin Liu, Tao Wei, Tao Liu, Yi Fei Li, Jing Yang, Wen Xing Fan

“…Key research themes include AI-driven advancements in donor matching, deep learning for post-transplant monitoring, and machine learning algorithms for personalized immunosuppressive therapies. …”
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Pixel-Level Recognition of Pavement Distresses Based on U-Net by Deru Li, Zhongdong Duan, Xiaoyang Hu, Dongchang Zhang

“…Data augmentation, batch normalization, momentum, transfer learning, and discriminative learning rates are used to train the model. …”
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Leveraging Quantum LSTM for High-Accuracy Prediction of Viral Mutations by Prashanth Choppara, Bommareddy Lokesh

“…The one-hot encoding technique is a standard technique in machine learning for encoding protein sequences into data that can be used in neural networks.The proposed QLSTM outperformed existing deep learning architectures such as the Attention-Augmented Convolutional Neural Network (AACNN), Stacked Recurrent Neural Network (Stacked RNN), Retention Network (RetNet), and Bidirectional Long Short Term Memory (BiLSTM). …”
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