A Hierarchical Attention Recommender System Based on Cross-Domain Social Networks by Rongmei Zhao, Xi Xiong, Xia Zu, Shenggen Ju, Zhongzhi Li, Binyong Li

“…In this paper, we propose a hierarchical attention recommendation system (HA-RS) based on mask social network, combining social network information and user behavior information, which improves not only the accuracy of recommendation but also the flexibility of the network. First, learning the node representation in the item domain through the proposed Context-NE model and then the feature information of neighbor nodes in social domain is aggregated through the hierarchical attention network. …”
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Employee engagement in the South African short-term insurance sector: repositioning communication climate as a job resource by Annerie Geyer, Estelle De Beer

“…Traditional employee engagement models list a positive communication climate as one of many job resources that contribute to improved engagement, alongside resources such as performance feedback, employee autonomy and opportunities for learning and development. Against this background, this research argues that a positive communication climate could possibly play a more expanded role in driving non-managerial employee engagement than is currently recognised. …”
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Sublemma-Based Neural Machine Translation by Thien Nguyen, Huu Nguyen, Phuoc Tran

“…Powerful deep learning approach frees us from feature engineering in many artificial intelligence tasks. …”
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Remote sensing forest health assessment – a comprehensive literature review on a European level by Drechsel Johannes, Forkel Matthias

“…We conclude that the availability of new satellite systems and advances in artificial intelligence and machine learning should be translated into FHA practice according to ICP standards.…”
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Development of DCS SCADA Teaching Module on A Pid-Based Water Level Control Case Using Labview and Factory I/O by Lutfi, Sukriyah Buwarda

“…This course has case study-based learning from the industrial world and involves very expensive instrumentation devices for Real Plant, so a Teaching Module with factory i/o was created. …”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

“…Abstract We present a novel learning model with attention and prior guidance for view synthesis. …”
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Immune Vulnerability of Infants to Tuberculosis by Koen Vanden Driessche, Alexander Persson, Ben J. Marais, Pamela J. Fink, Kevin B. Urdahl

“…One of the challenges faced by the infant immune system is learning to distinguish the myriad of foreign but nonthreatening antigens encountered from those expressed by true pathogens. …”
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A deep neural network for general scattering matrix by Jing Yongxin, Chu Hongchen, Huang Bo, Luo Jie, Wang Wei, Lai Yun

“…Our work proposes a convenient solution of deep learning for scattering problems.…”
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An Optimized Sanitization Approach for Minable Data Publication by Fan Yang, Xiaofeng Liao

“…Specifically, we take advantage of PSO to produce new particles, which is achieved by random mutation or learning from the best particle. Hence, SA-MDP can avoid the solutions being trapped into local optima. …”
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CoLR: Classification-Oriented Local Representation for Image Recognition by Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhiwei Guo, Fupeng Wei

“…For this problem, this paper presents a novel representation learning method named classification-oriented local representation (CoLR) for image recognition. …”
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Linking Animal Feed Formulation to Milk Quantity, Quality, and Animal Health Through Data-Driven Decision-Making by Oreofeoluwa A. Akintan, Kifle G. Gebremedhin, Daniel Dooyum Uyeh

“…Leveraging advanced analytical techniques, such as machine learning and optimization algorithms, have created highly accurate feed formulations tailored to specific livestock needs. …”
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ICT integration in education: aligning experiences of ESP lecturers in economic universities by О. Zatserkovnyi

“…It emphasizes the necessity for tailored professional development programs and institutional backing to tackle identified challenges and leverage opportunities for augmenting student learning outcomes. The findings emphasize the significance of ongoing training workshops, access to up-to-date ICT tools and software, and collaborative engagements with  seasoned  colleagues. …”
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EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

“…This research introduces EffiTriDimNet (ETDN), a multi-task convolutional neural network that combines one-dimensional pipeline defect leakage detection data into a unified feature map while simultaneously measuring the three-dimensional characteristics of the defects. This multi-task learning model utilizes a shared feature extraction layer and numerous branching networks to create individual predictions for each task: length, width, and depth. …”
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A novel classification method for balance differences in elite versus expert athletes based on composite multiscale complexity index and ranking forests. by Yuqi Cheng, Dawei Wu, Ying Wu, Youcai Guo, Xinze Cui, Pengquan Zhang, Jie Gao, Yanming Fu, Xin Wang

“…We calculated the CMCI and used four machine learning algorithms-Logistic Regression, Support Vector Machine(SVM), Naive Bayes, and Ranking Forest-to combine these features and assess each participant's balance ability. …”
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An explainable sentiment prediction model based on the portraits of users sharing representative opinions in social sensors by Bin Wang, Enhui Wang, Zikun Zhu, Yangyang Sun, Yaodong Tao, Wei Wang

“…We build users’ portraits from three aspects: attribute features, interest features, and emotional features. Six machine learning algorithms are used to predict emotional tendency based on users’ portraits. …”
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Decomposition of a complex motor skill with precise error feedback and intensive training breaks expertise ceiling by Yudai Kimoto, Masato Hirano, Shinichi Furuya

“…One approach that has been widely used is to decompose such skills into simpler, constituent movement elements during the learning process, thereby aligning the task complexity with the learners’ capacity for accurate execution. …”
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Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…Furthermore, in diabetic disease modelling, artificial neural networks have demonstrated outstanding accuracy compared to alternative methods such as machine learning, regression, artificial neural networks, and decision trees.…”
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Visualization of solving problems with sequences of numbers: Statistical comparison of the two methods by Mihajlov-Carević Miroslava, Milojević Nataša, Rešić Sead

“…Also in education. In the learning process, students are increasingly focused on the use of modern technologies and software packages. …”
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Rare Presentation of Hypoglycemia in a Patient with Anaplastic Large-Cell Lymphoma by Raed Aldahash

“…This case reveals a rare systematic ALK-1-negative anaplastic large-cell lymphoma that involves multiple organs. The main learning point from this report is that these tumors can present atypically even in adults and can be ALK-1 negative, which is contrary to the typical systematic anaplastic large-cell lymphomas that are positive for ALK.…”
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Development of speed and strength abilities of children aged 12-13 years in physical education classes in the COVID-19 pandemic by Olena Nesen

“…The aim of the work is to track changes in the indicators of speed and strength abilities of children aged 12-13 years during the year in the conditions of mixed and distance learning. Material and methods. Schoolchildren aged 12-13 years took part in the study (Kharkiv, Ukraine; n=31; boys - n=16; girls - n=15). …”
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