Exploring language learning and corrective feedback in an eTandem project by Tang Jinlan, Qian Kan, Wang Na, Hu Xiaona

“…Against this backdrop, a small-scale, six-week Chinese-English eTandem project focusing on learners’ language learning processes and experiences was undertaken between nine Chinese university students learning English in China and nine British university students learning Chinese in the UK. Multiple datasets were collected from learners’ diaries, synchronous Skype communication recordings, email exchanges, interviews and a post-project survey. …”
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E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review by Abed Mutemi, Fernando Bacao

“…However, research on fraud detection systems has struggled to keep pace due to limited real-world datasets. Advances in artificial intelligence, Machine Learning (ML), and cloud computing have revitalized research and applications in this domain. …”
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Open Soil Spectral Library (OSSL): Building reproducible soil calibration models through open development and community engagement. by José L Safanelli, Tomislav Hengl, Leandro L Parente, Robert Minarik, Dellena E Bloom, Katherine Todd-Brown, Asa Gholizadeh, Wanderson de Sousa Mendes, Jonathan Sanderman

“…However, a bottleneck to its more widespread adoption is the need for establishing large reference datasets for training machine learning (ML) models, which are called soil spectral libraries (SSLs). …”
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Seasonal forecasting of East African short rains by Agumase Kindie Tefera, Giovanni Liguori, William Cabos, Antonio Navarra

“…This finding confirms previous studies based on observational datasets, which indicate that broader-scale IOD variability associated with changes in the Walker Circulation, rather than local SST fluctuations, is the primary driver behind East African rainfall.…”
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Factors Associated With the Accuracy of Large Language Models in Basic Medical Science Examinations: Cross-Sectional Study by Naritsaret Kaewboonlert, Jiraphon Poontananggul, Natthipong Pongsuwan, Gun Bhakdisongkhram

“…Content validation and its answers are based on training datasets and the optimization of each model. The accuracy of large language model (LLMs) in basic medical examinations and factors related to their accuracy have also been explored. …”
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Sociodemographic Determinants of Knowledge towards Tuberculosis Transmission among Women of 15–49 Years of Age in India by Baikunth Kumar Yadav, Pranveer Singh, Bijaya Kumar Padhi

“…We used publicly available datasets collected as part of the NFHS during 2015–16 in India. …”
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Edge-centric optimization: a novel strategy for minimizing information loss in graph-to-text generation by Zheng Yao, Jingyuan Li, Jianhe Cen, Shiqi Sun, Dahu Yin, Yuanzhuo Wang

“…Experimental results reveal that TriELMR exhibits exceptional performance across various benchmark tests, especially on the webnlgv2.0 and Event Narrative datasets, achieving BLEU-4 scores of $$66.5\%$$ 66.5 % and $$37.27\%$$ 37.27 % , respectively, surpassing the state-of-the-art models. …”
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Comprehensive Analysis of the Expression, Prognostic Value, and Immune Infiltration Activities of GABRD in Colon Adenocarcinoma by Fakun Huang, Zhengyang Wang, Liyue Zhu, Changqing Lin, Jia-xing Wang

“…In this study, we analyzed TCGA datasets and identified 29 survival-related differentially expressed genes (DEGs) in COAD patients. …”
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A privacy budget adaptive optimization scheme for federated computing power Internet of things by MA Wenyu, CHEN Qian, HU Yuxiang, YAN Haonan, HU Tao, YI Peng

“…Experimental results on multiple public datasets show that the proposed scheme improves the accuracy of the global model by up to 10.19% under the premise of satisfying the same privacy protection requirements.…”
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CausMatch: Causal Matching Learning With Counterfactual Preference Framework for Cross-Modal Retrieval by Chen Chen, Dan Wang

“…The proposed CausMatch model’s effectiveness is systematically substantiated through a comprehensive series of experiments conducted on two widely recognized benchmark datasets, namely MS-COCO and Flickr30K. The results unequivocally demonstrate its superiority over existing state-of-the-art methods, underscoring its robust performance in cross-modal retrieval tasks.…”
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A low functional redundancy-based network slimming method for accelerating deep neural networks by Zheng Fang, Bo Yin

“…We conduct experiments on image classification task based on CIFAR-10 and CIFAR-100 datasets. Our framework achieves over 2.0 × parameters and FLOPs reductions, while maintaining < 1 % loss in accuracy, and even improve accuracy of large-volume models. …”
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Sentimentally enhanced conversation recommender system by Fengjin Liu, Qiong Cao, Xianying Huang, Huaiyu Liu

“…Extensive experimental results on two public CRS datasets demonstrate the effectiveness of our approach. …”
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Artificial intelligence in degenerative cervical disease: A systematic review of MRI-based diagnostic models by Qian Du, Xinxin Shao, Minbo Zhang, Guangru Cao

“…Additionally, hardware configurations were inconsistently reported, and data augmentation techniques were underutilized, limiting the robustness of the models in smaller datasets. Conclusion While AI models for DCD diagnosis using MRI show high diagnostic potential, methodological weaknesses such as insufficient external validation and small sample sizes hinder broader clinical adoption. …”
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Knowledge Graph Entity Similarity Calculation under Active Learning by Lianhuan Li, Zheng Zhang, Shaoda Zhang

“…Our experimental results on real datasets show that the entity alignment algorithm proposed in this paper has a great improvement in accuracy compared with the previous mainstream alignment algorithms. …”
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Evaluation and Correction of the Ambient Particle Spectral Light Absorption Measured Using a Filter-based Aethalometer by Gang Zhao, Yingli Yu, Ping Tian, Jing Li, Guo Song, Chunsheng Zhao

“…A method was proposed to effectively correct the historical datasets of σabs and the absorption Å ngström exponent by using the AE33 with Tape 8050. …”
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Enhanced Image Retrieval Using Multiscale Deep Feature Fusion in Supervised Hashing by Amina Belalia, Kamel Belloulata, Adil Redaoui

“…Our approach demonstrated a superior performance on benchmark datasets, achieving significant gains in the Mean Average Precision (MAP) compared with the state-of-the-art methods: 9.5% on CIFAR-10, 5% on NUS-WIDE, and 11.5% on MS-COCO. …”
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HDN-DDI: a novel framework for predicting drug-drug interactions using hierarchical molecular graphs and enhanced dual-view representation learning by Jinchen Sun, Haoran Zheng

“…Experimental results demonstrate that HDN-DDI has achieved state-of-the-art performance with accuracies of 97.90% and 99.38% on the two widely-used datasets in the warm-start setting. Moreover, HDN-DDI exhibits substantial improvements in the cold-start setting with boosts of 4.96% in accuracy and 7.08% in F1 score on previously unseen drugs. …”
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Temporal Aspects of Surface Water Quality Variation Using Robust Statistical Tools by Adamu Mustapha, Ahmad Zaharin Aris, Mohammad Firuz Ramli, Hafizan Juahir

“…Robust statistical tools were applied on the water quality datasets with the aim of determining the most significance parameters and their contribution towards temporal water quality variation. …”
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Coastal Inlet Analysis by Image Color Intensity Variations: Implications for the Barrier Coast of Ukraine by Ilya V. Buynevich, Oleksiy V. Davydov, Duncan M. FitzGerald

“…For rapid spatial analysis of remotely sensed or archival datasets, image color intensity (ICI) patterns are obtained using grayscale (GS) spectra and a wide range of filter options. …”
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Unveiling novel biomarkers for platinum chemoresistance in ovarian cancer by Wang Caixia, Peng Changsheng, Xie Chuan

“…Through the analysis of three GEO datasets (GSE114206, GSE51373, and GSE63885) utilizing bioinformatics methodologies, we identified two specific genes, MFAP4 and EFEMP1. …”
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