Research on Configurations for Marketing Performance of Science and Technology Enterprises in China Based on the TOE Framework by Jianing Zhang, Jianhong Fan, Xianghong Yan

“…Based on the Technology, Organization, and Environment (TOE) framework, this study uses a sample of 258 listed science and technology enterprises in China and applies the Fuzzy Set Qualitative Comparative Analysis (fsQCA) method to examine the relationship between six conditions, namely, R&D capability, information technology application capability, marketing level, enterprise scale, government support, market competition, and marketing performance of science and technology enterprises from a configurational perspective. …”
Get full text

FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…The FedBFGCN was evaluated on standard reference network datasets (Cora, Citeseer, Polblogs), and experimental results showed that it has lower losses and higher performance in multiple aspects. This framework is capable of addressing various challenges in graph federated learning, significantly improving learning effectiveness and application capabilities. …”
Get full text

Development of a core competency evaluation index system for specialist nurses in robot-assisted surgery: a Delphi study by Wen Qin, Xiaoyun Dai, Peipei Huang, Jun Luo, Yang Shen, Qin Zhu

“…Conclusion This study established a structured competency evaluation framework for nurses in robot-assisted surgery, comprising three primary, twelve secondary, and sixty-seven tertiary indicators. …”
Get full text

Joint fusion of sequences and structures of drugs and targets for identifying targets based on intra and inter cross-attention mechanisms by Xin Zeng, Guang-Peng Su, Wen-Feng Du, Bei Jiang, Yi Li, Zi-Zhong Yang

“…Results We propose MM-IDTarget, a novel deep learning framework that employ a multimodal fusion strategy based on the intra and inter cross-attention mechanisms. …”
Get full text

AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming by Zhuo Zeng, Tariq Mahmood, Yu Wang, Amjad Rehman, Muhammad Akram Mujahid

“…This study introduces the AttCM-Alex model, a novel deep-learning framework designed to boost the detection and classification of plant diseases under challenging environmental conditions. …”
Get full text