Vision-Based Underwater Docking Guidance and Positioning: Enhancing Detection with YOLO-D by Tian Ni, Can Sima, Wenzhong Zhang, Junlin Wang, Jia Guo, Lindan Zhang

“…It integrated the Context Aggregation Network (CONTAINER) to enhance small-target detection and overall image accuracy, while the bidirectional feature pyramid network (BiFPN) facilitated effective cross-scale feature fusion, improving detection precision for multi-scale and fuzzy targets. …”
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Disease prediction by network information gain on a single sample basis by Jinling Yan, Peiluan Li, Ying Li, Rong Gao, Cheng Bi, Luonan Chen

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Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework by Ikhlaq Ahmed, Naima Iltaf, Rabia Latif, Nor Shahida Mohd Jamail, Zafran Khan

“…First, it achieves successful fusion of two different modalities. Second, it introduces a RR algorithm in the inference stage for efficient retrieval. …”
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Fused extracellular vesicles from M2 macrophages and human umbilical cord mesenchymal stem cells for the targeted regulation of macrophage pyroptosis in periprosthetic osteolysis by Qimeng Liu, Tianliang Ma, Zheyu Zhang, Jiangyu Nan, Guanzhi Liu, Yute Yang, Yihe Hu, Jie Xie

“…These findings suggest that extracellular vesicle fusion technology heralds a novel paradigm in the design and development of targeted extracellular vesicle‐based drug delivery systems.…”
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The use of premature chromosome condensation to study in interphase cells the influence of environmental factors on human genetic material by Vasiliki I. Hatzi, Georgia I. Terzoudi, Christina Paraskevopoulou, Vasilios Makropoulos, Demetrios P. Matthopoulos, Gabriel E. Pantelias

“…Premature Chromosome Condensation (PCC) induced either by means of cell fusion or specific chemicals, enables the microscopic visualization of interphase chromosomes whose morphology depends on the cell cycle stage, as well as the analysis of structural and numerical aberrations at the G1 and G2 phases of the cell cycle. …”
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Endometrial polyps with bizarre stromal cells: a Benign or a low-grade lesion? by Musen Wang, Fei Gao, Hongkai Zhang, Wenxin Zheng

“…Remarkably, RNA sequencing analysis of the polyp detected a JAK2::NFIB gene fusion, a novel finding for endometrial polyps with atypical stromal cells, the clinical implications of which remain to be elucidated. …”
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Methods of security situation prediction for industrial internet fused attention mechanism and BSRU by Xiangdong HU, Zhengguo TIAN

“…The security situation prediction plays an important role in balanced and reliable work for industrial internet.In the face of massive, high-dimensional and time-series data generated in the industrial production process, traditional prediction models are difficult to accurately and efficiently predict the network security situation.Therefore, the methods of security situation prediction for industrial internet fused attention mechanism and bi-directional simple recurrent unit (BSRU) were proposed to meet the real-time and accuracy requirements of industrial production.Each security element was analyzed and processed, so that it could reflect the current network state and facilitate the calculation of the situation value.One-dimensional convolutional network was used to extract the spatial dimension features between each security element and preserve the temporal correlation between features.The BSRU network was used to extract the time dimension features between the data information and reduced the loss of historical information.Meanwhile, with the powerful parallel capability of SRU network, the training time of model was reduced.Attention mechanism was introduced to optimize the correlation weight of BSRU hidden state to highlight strong correlation factors, reduced the influence of weak correlation factors, and realized the prediction of industrial internet security situation combining attention mechanism and BSRU.The comparative experimental results show that the model reduces the training time and training error by 13.1% and 28.5% than the model using bidirectional long short-term memory network and bidirectional gated recurrent unit.Compared with the convolutional and BSRU network fusion model without attention mechanism, the prediction error is reduced by 28.8% despite the training time increased by 2%.The prediction effect under different prediction time is better than other models.Compared with other prediction network models, this model achieves the optimization of time performance and uses the attention mechanism to improve the prediction accuracy of the model under the premise of increasing a small amount of time cost.The proposed model can well fit the trend of network security situation, meanwhile, it has some advantages in multistep prediction.…”
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The Formation and Features of Massive Vacuole Induced by Nutrient Deficiency in Human Embryonic Kidney Cells by Dakang Sun, Xinye An, Yanli Cheng

“…We found that massive vacuoles could form through two primary mechanisms: the accumulation of small vacuoles into larger vacuoles or the fusion of homogeneous or heterogeneous vacuoles. Further analysis revealed that the membranes of massive vacuoles, regardless of origin, were composed of a bilayer membrane structure. …”
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Intelligent information systems for power grid fault analysis by computer communication technology by Ronglong Xu, Jing Zhang

“…Specifically, this study introduces a fusion model integrating Transformer self-attention mechanisms with graph neural networks (GNNs) based on conventional fault diagnosis techniques. …”
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Fine-Grained Lung Cancer Classification from PET and CT Images Based on Multidimensional Attention Mechanism by RuoXi Qin, Zhenzhen Wang, LingYun Jiang, Kai Qiao, Jinjin Hai, Jian Chen, Junling Xu, Dapeng Shi, Bin Yan

“…We conduct a comparative analysis of the two aspects of feature fusion and attention mechanism through quantitative evaluation metrics and the visualization of deep learning process. …”
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Impact of Methods of Preparation on Mechanical Properties, Dissolution Behavior, and Tableting Characteristics of Ibuprofen-Loaded Amorphous Solid Dispersions by Ajam Uddin, Shimul Halder, Nandita Deb, Harinarayan Das, Madhabi Lata Shuma, Ikramul Hasan, Manik Chandra Shill, Syed Shabbir Haider

“…ASDs containing various ratios of IBP and selected polymer were prepared by the melt fusion (MF) method. ASD containing optimized drug-polymer ratio prepared by freeze-drying (FD) method was characterized and compared physicochemically. …”
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Microcrack feature extraction method for chaotic optical surface of silicon nitride ceramic bearing roller based on multi-scale wavelet transform enhancement and optimized PSO-FCM... by Yi Jiang, Mengtao Tang, Wenjie Dong, Guoxing Tang, Weiwen Hu, Jiao Li

“…Through the db4 basis function of multi-scale decomposition of microcrack features, the soft threshold function is constructed to deeply denoise the image. The normalized fusion features of microcracks after multi-scale vector decomposition are enhanced, and the gradient information is enhanced while retaining the microcrack features on the chaotic optical surface. …”
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Secretory Carcinoma of the Parotid: Making the Correct Diagnosis of a Rare Salivary Gland Carcinoma When Molecular Biology Testing Is Not Available by Nelson Montalvo, David Galarza, Ligia Redrobán

“…Moreover, it displays a characteristic t(12;15) (p13;q25) translocation that results in the ETV6-NTRK3 gene fusion. This translocation has not been reported in any other salivary gland carcinoma. …”
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Localization and detection of deepfake videos based on self-blending method by Junfeng Xu, Xintao Liu, Weiguo Lin, Wenqing Shang, Yuefeng Wang

“…By employing a technique that combines multi-part local displacement deformation and fusion, we generate more diverse deepfake feature data, enhancing the detection accuracy of specific manipulation methods while producing mixed-region labels to guide manipulation localization. …”
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Exception to the Rule: Genomic Characterization of Naturally Occurring Unusual Vibrio cholerae Strains with a Single Chromosome by Gary Xie, Shannon L. Johnson, Karen W. Davenport, Mathumathi Rajavel, Torsten Waldminghaus, John C. Detter, Patrick S. Chain, Shanmuga Sozhamannan

“…Whole genome sequence analyses of NSCV1 and NSCV2 (natural single-chromosome vibrio) revealed that the Chr1 and Chr2 fusion junctions contain prophages, IS elements, and direct repeats, in addition to large-scale chromosomal rearrangements such as inversions, insertions, and long tandem repeats elsewhere in the chromosome compared to prototypical two chromosome V. cholerae genomes. …”
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Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The study concludes that the effective fusion of multi-scale features not only enhances the model’s prediction performance but also strengthens its generalization ability. …”
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Influencia de las condiciones ambientales y tiempo de fermentación aerobia sobre la calidad del café (Coffea arabica L.) var. Catucaí by Brayan Alexander Álvarez López, Nicola Antonio Mastrocola Racines, Edgar Gabriel Tello Hidalgo, Duilio Gilberto Torres Rodríguez

“…Al analizar los puntajes de fusión, se encontró que el tiempo óptimo de fermentación se logró a las 16 horas en ambiente de invernadero con un valor de 79,25, el cual se considera "bueno" según los estándares de la Asociación de Cafés Especiales. …”
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An mRNA-Based Respiratory Syncytial Virus Vaccine Elicits Strong Neutralizing Antibody Responses and Protects Rodents Without Vaccine-Associated Enhanced Respiratory Disease by Jianglong Li, Haiyan Long, Shaoyi Chen, Zhendong Zhang, Shuang Li, Qi Liu, Jun Liu, Jiaru Cai, Liping Luo, Yucai Peng

“…Background: Respiratory syncytial virus (RSV) causes the most common type of severe lower respiratory tract infection worldwide, and the fusion (F) protein is a target for neutralizing antibodies and vaccine development. …”
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Cross-Domain Person Re-Identification Based on Multi-Branch Pose-Guided Occlusion Generation by Pengnan Liu, Yanchen Wang, Yunlong Li, Deqiang Cheng, Feixiang Xu

“…Secondly, a multi-branch feature fusion structure is constructed. By fusing different feature information from the global and occlusion branches, the diversity of features is enriched. …”
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Multimodal Zero-Shot Shelf Deformation Detection Based on MEMS Sensors and Images by Hong Yan, Jingjing Fan, Yajun Liu

“…To address this issue, this study proposes a zero-shot shelf deformation detection method based on multimodal data fusion. The proposed approach integrates Micro-Electro-Mechanical Systems (MEMS) sensors and image data to establish a real-time monitoring and alert mechanism. …”
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