Resonance plays critical roles in the formation of many physical phenomena, and several methods have been developed for the exploration of resonance. In this work, we propose a new scheme for resonance by solving the Dirac equation in the complex momentum representation, in which the resonant states are exposed clearly in the complex momentum plane and the resonance parameters can be determined precisely without imposing unphysical parameters. Combined with the relativistic mean-field theory, this method is applied to probe the resonances in ^{120}Sn with the energies, widths, and wave functions being obtained. Compared to other methods, this method is not only very effective for narrow resonances, but also can be reliably applied to broad resonances.
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http://dx.doi.org/10.1103/PhysRevLett.117.062502 | DOI Listing |
Surg Endosc
January 2025
Department of Surgery, Weill Cornell Medicine, New York, NY, USA.
Background: Minimally invasive liver surgery (MILS) is superior to open surgery when considering decreased blood loss, fewer complications, shorter hospital stay, and similar or improved oncologic outcomes. However, operative limitations in laparoscopic hepatectomy have curved its applicability and momentum of complex minimally invasive liver surgery. Transitioning to robotic hepatectomy may bridge this complexity gap.
View Article and Find Full Text PDFFront Bioeng Biotechnol
December 2024
Department of Breast and Endocrine Surgery, Hallym University Sacred Heart Hospital, Anyang, Republic of Korea.
Unlabelled: 3D cell culture is gaining momentum in medicine due to its ability to mimic real tissues () and provide more accurate biological data compared to traditional methods. This review explores the current state of 3D cell culture in medicine and discusses future directions, including the need for standardization and simpler protocols to facilitate wider use in research.
Purpose: 3D cell culture develops life sciences by mimicking the natural cellular environment.
Sci Rep
January 2025
Department of Pathology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325035, China.
Cervical cancer is one of the deadliest cancers that pose a significant threat to women's health. Early detection and treatment are commonly used methods to prevent cervical cancer. The use of pathological image analysis techniques for the automatic interpretation of cervical cells in pathological slides is a prominent area of research in the field of digital medicine.
View Article and Find Full Text PDFNeural Netw
December 2024
The School of Cyber Science and Technology, Shenzhen Campus of Sun Yat-sen University, Shenzhen, 518107, China. Electronic address:
To tackle high communication costs and privacy issues in Centralized Federated Learning (CFL), Decentralized Federated Learning (DFL) is an alternative. However, a significant discrepancy exists between local updates and the expected global update, known as client drift, which arises from inconsistency and heterogeneous data. Previous research in the DFL field has focused on local information during client updates, without considering global information, which fails to alleviate the client drift issue.
View Article and Find Full Text PDFFront Plant Sci
December 2024
Jiangxi Branch of China National Tobacco Corporation, Nanchang, China.
Due to the constraints of the tobacco leaf curing environment and computational resources, current image classification models struggle to balance recognition accuracy and computational efficiency, making practical deployment challenging. To address this issue, this study proposes the development of a lightweight classification network model for recognizing tobacco leaf curing stages (TCSRNet). Firstly, the model utilizes an Inception structure with parallel convolutional branches to capture features at different receptive fields, thereby better adapting to the appearance variations of tobacco leaves at different curing stages.
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