Artificial insemination of bottlenose dolphins (Tursiops truncatus): A trial with simple instruments based on criteria for estrous behaviors linked to changes in estradiol levels a... by Shusaku SAWA, Narumi KAWAHIRO, Minami W. OKUYAMA

“…The female was placed in supine a position in the water to position the genital slit above the water surface. A Nélaton catheter (Fr. 10, 40 cm length), with its tip modified, was inserted approximately 20 cm into the vagina through the genital slit, and 1–2 ml of fresh semen was injected. …”
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La mémoire de l’esclavage à travers la religion vaudou by Alessandra Brivio

“…Ce culte évoque à travers la pratique rituelle, la mémoire des hommes achetés comme esclaves. L’étude des formes de mémoire non verbales permet de déceler des traces de la mémoire de l’esclavage explicitant un sentiment diffus de conscience. …”
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Enhanced Human Skeleton Tracking for Improved Joint Position and Depth Accuracy in Rehabilitation Exercises by Vytautas Abromavičius, Ervinas Gisleris, Kristina Daunoravičienė, Jurgita Žižienė, Artūras Serackis, Rytis Maskeliūnas

“…To achieve this, two datasets were created, each consisting of four different rehabilitation exercise videos featuring various individuals in diverse environments and wearing different clothing. …”
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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

“…Extensive experiments conducted on the Kaggle and VirusShare datasets have demonstrated that the proposed framework outperforms other graph neural network (GNN)-based malware detection methods.…”
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Adversarial Robust Modulation Recognition Guided by Attention Mechanisms by Quanhai Zhan, Xiongwei Zhang, Meng Sun, Lei Song, Zhenji Zhou

“…Experimental results on benchmark datasets show that AG-AMR obtains a high level of accuracy on modulation recognition and exhibits significant robustness. …”
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Diabetic Retinopathy Detection Using Local Extrema Quantized Haralick Features with Long Short-Term Memory Network by Abubakar M. Ashir, Salisu Ibrahim, Mohammed Abdulghani, Abdullahi Abdu Ibrahim, Mohammed S. Anwar

“…The proposed approach analyzes the retina vasculature and hard-exudate symptoms of diabetic retinopathy on two different public datasets. The experimental results evaluated using performance matrices such as specificity, accuracy, and sensitivity reveal promising indices. …”
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Multi-omics approach in tea polyphenol research regarding tea plant growth, development and tea processing: current technologies and perspectives by Jingwen Li, Yu Wang, Joon Hyuk Suh

“…Recent advances in multi-omics approaches and data analysis have enabled mining and mapping of enormous number of datasets at different biological scales from genotypes to phenotypes of living organisms. …”
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Genome sequence resources for three strains of the genus Clonostachys by Zongping Sun, Fan Zhang, Nana Zhong, Kang Zhou, Jun Tang

“…BUSCO analysis of the genome assembly indicated that the completeness of these genomes was at least 98%. In summary, these datasets provide a valuable resource for ongoing studies that include further exploration of biological function, marker development, enhanced biological control ability of Clonostachys fungi, and population diversity.…”
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A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification by Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao

“…Experiment results on four publicly available datasets show that our model BERT-Cap achieves a F1 score of 0.967 and an accuracy of 0.967, outperforming a number of baseline methods, indicating its effectiveness in user intent classification.…”
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SVD-GoRank: Recommender System Algorithm Using SVD and Gower’s Ranking by Ilham Saifudin, Triyanna Widiyaningtyas, Ilham Ari Elbaith Zaeni, Afrig Aminuddin

“…Experimental results using the MovieLens-100K, MovieLens-1M, Book-Crossing, Ciao, Epinions, Flixster, and MovieLens-10M datasets can provide the best accuracy results at the Top-N level, especially in the NDCG, MRR, Precision, Hit Rate, and Recall metrics, which are indicators important in recommendation systems that focus on the relevance of recommendations at the top of the list. …”
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Advances in Object Detection and Localization Techniques for Fruit Harvesting Robots by Xiaojie Shi, Shaowei Wang, Bo Zhang, Xinbing Ding, Peng Qi, Huixing Qu, Ning Li, Jie Wu, Huawei Yang

“…The difficulties and challenges faced by current fruit detection and localization algorithms are proposed from the aspects of the lack of large-scale high-quality datasets, the high complexity of the agricultural environment, etc. …”
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Trust-Centric and Economically Optimized Resource Management for 6G-Enabled Internet of Things Environment by Osama Z. Aletri, Kamran Ahmad Awan, Abdullah M. Alqahtani

“…The proposed solution is emulated using the NS-3 network simulator across three datasets: Edge-IIoTset, N-BaIoT, and IoT-23. Results demonstrate that TEO-IoT achieves an optimal resource usage of 92.5% in Edge-IIoTset and reduces power consumption by 15.2% in IoT-23, outperforming state-of-the-art models like IDSOFT and RAT6G.…”
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Clinical Big Data and Deep Learning: Applications, Challenges, and Future Outlooks by Ying Yu, Min Li, Liangliang Liu, Yaohang Li, Jianxin Wang

“…., medical images, clinical notes, lab results, vital signs, and demographic informatics) are discussed and details provided of some public clinical datasets. Secondly, a brief review of common deep learning models and their characteristics is conducted. …”
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EEG Channel Selection Using Particle Swarm Optimization for the Classification of Auditory Event-Related Potentials by Alejandro Gonzalez, Isao Nambu, Haruhide Hokari, Yasuhiro Wada

“…The performance of the method is assessed through offline analyses on datasets of auditory ERPs from sound discrimination experiments. …”
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Segmentation of Laser Marks of Diabetic Retinopathy in the Fundus Photographs Using Lightweight U-Net by Yukang Jiang, Jianying Pan, Ming Yuan, Yanhe Shen, Jin Zhu, Yishen Wang, Yewei Li, Ke Zhang, Qingyun Yu, Huirui Xie, Huiting Li, Xueqin Wang, Yan Luo

“…We prepared our training and testing data, manually annotated by trained and experienced graders from Image Reading Center, Zhongshan Ophthalmic Center, publicly available to fill the vacancy of public image datasets dedicated to the segmentation of laser marks. …”
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EMSPAN: Efficient Multi-Scale Pyramid Attention Network for Object Counting Under Size Heterogeneity and Dense Scenarios by Phu Nguyen Phan Hai, Bao Bui Quoc, Trang Hoang

“…Experiments on the shrimp larvae and crowd datasets, characterized by significant size diversity of individual objects, have demonstrated the superior performance of the proposed method in handling object counting tasks in dense and size-heterogeneous environments.…”
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Rugularizing generalizable neural radiance field with limited-view images by Wei Sun, Ruijia Cui, Qianzhou Wang, Xianguang Kong, Yanning Zhang

“…Experimental results on diverse benchmark datasets demonstrate that our approach can generalize across scenes and produce realistic view synthesis results using only three input images, surpassing the performance of previous state-of-the-art methods. …”
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Disease burden of influenza in Spain: A five-season study (2015–2020) by Iván Sanz-Muñoz, Irene Arroyo-Hernantes, Alejandro Martín-Toribio, Marina Toquero-Asensio, Javier Sánchez-Martínez, Carla Rodríguez-Crespo, Silvia Rojo-Rello, Marta Domínguez-Gil, Marta Hernández-Pérez, Eduardo Tamayo, Ruth Gil-Prieto, Ángel Gil-de-Miguel, José M Eiros

“…In this retrospective study, we analyzed the burdens of hospitalization, intensive care unit (ICU) admission and in-hospital mortality in Spain over five seasons (2015–2020) via publicly available Minimum Basic Datasets (MDBS). The data revealed that influenza had a major impact in Spain, with approximately 29,000 hospitalizations, 2,200 ICU admissions, and 1,600 deaths each season. …”
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Global Information and Structure Tensor Guided Collaborative Representation for Anomaly Detection by Meiping Song, Zhenyu Guo, Lan Li, Shihui Liu, Haimo Bao, Jiakang Li

“…Experiments on the real datasets show that the method performs better than classical and some recently proposed methods in background and interference suppression, and achieves satisfactory anomaly detection precision.…”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

“…We conduct extensive experiments on three datasets. Results indicate that the evaluation indicators and performance of our IAE-CDNet are better than those of other state-of-the-art methods.…”
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