Zobrazeno 1 - 10
of 16 351
pro vyhledávání: '"Yan, YANG"'
Autor:
Yan, Yang, Chen, Zhong, Xu, Cai, Shen, Xinglei, Shiao, Jay, Einck, John, Chen, Ronald C, Gao, Hao
Patient-reported outcomes (PROs) directly collected from cancer patients being treated with radiation therapy play a vital role in assisting clinicians in counseling patients regarding likely toxicities. Precise prediction and evaluation of symptoms
Externí odkaz:
http://arxiv.org/abs/2411.10819
Autor:
Yan, Yang, Wang, Yihao, Zhang, Chi, Hou, Wenyuan, Pan, Kang, Ren, Xingkai, Wu, Zelun, Zhai, Zhixin, Yu, Enyun, Ou, Wenwu, Song, Yang
Alongside the rapid development of Large Language Models (LLMs), there has been a notable increase in efforts to integrate LLM techniques in information retrieval (IR) and search engines (SE). Recently, an additional post-ranking stage is suggested i
Externí odkaz:
http://arxiv.org/abs/2411.01178
Accurate assessment of personality traits is crucial for effective psycho-counseling, yet traditional methods like self-report questionnaires are time-consuming and biased. This study exams whether Large Language Models (LLMs) can predict the Big Fiv
Externí odkaz:
http://arxiv.org/abs/2406.17287
Autor:
Zhao, Yan-Jun, Wang, Yu-Qi, Xue, Yang, Xu, Xun-Wei, Zhang, Yan-Yang, Liu, Wu-Ming, Liu, Yu-xi
We investigate a square-lattice architecture of superconducting transmon qubits with inter-qubit interactions mediated by inductive couplers. Therein, the inductive couling between the qubit and couplers is suggested to be designed into the gradiomet
Externí odkaz:
http://arxiv.org/abs/2402.02657
Autor:
Zhu, Bin, Lin, Bin, Ning, Munan, Yan, Yang, Cui, Jiaxi, Wang, HongFa, Pang, Yatian, Jiang, Wenhao, Zhang, Junwu, Li, Zongwei, Zhang, Wancai, Li, Zhifeng, Liu, Wei, Yuan, Li
The video-language (VL) pretraining has achieved remarkable improvement in multiple downstream tasks. However, the current VL pretraining framework is hard to extend to multiple modalities (N modalities, N>=3) beyond vision and language. We thus prop
Externí odkaz:
http://arxiv.org/abs/2310.01852
Publikováno v:
Ibrain, Vol 10, Iss 4, Pp 542-546 (2024)
Abstract A 48‐year‐old female patient was hospitalized for 5 days after a cold. Encephalitis was considered after preliminary history and routine examination, but the patient did not show significant improvement after antiviral treatment. At this
Externí odkaz:
https://doaj.org/article/b8d68ae2b26246edb310d10ebde5afe3
Achieving good ductility in high-strength Mg-19Gd binary alloy by stacking faults induced 〈c+a〉 slip
Autor:
Rongguang Li, Xiao Li, Yu Zhang, Hang Zhang, Houwen Chen, Yan Yang, Di Wu, Boshu Liu, Shanshan Li, Gaowu Qin
Publikováno v:
Materials Research Letters, Pp 1-9 (2024)
A Mg-19Gd binary alloy with exceptionally good synergy of strength and ductility has been fabricated by conventional hot extrusion and aging. The aged alloy with a specific bimodal-grained structure achieves a yield strength of 482 MPa and an ultimat
Externí odkaz:
https://doaj.org/article/f8acf69cb4a74ed7bc6307e509dc8bfd
Publikováno v:
BMC Neuroscience, Vol 25, Iss 1, Pp 1-14 (2024)
Abstract Background The vulnerable period to neurotoxicity of isoflurane overlaps with a developmental stage characterized by programmed neuronal death. STAT3 has been identified as a crucial molecule involved in survival pathways during this period.
Externí odkaz:
https://doaj.org/article/6fbf8f8a08ce4ea08acd40ac10eb2865
Publikováno v:
Regenerative Therapy, Vol 27, Iss , Pp 92-103 (2024)
Diabetic wounds can occur as a prevalent complication among people diagnosed with diabetes, frequently resulting in the necessity for amputation. The cause and effect of diabetic foot ulcer is complex, involving multiple factors. In the present study
Externí odkaz:
https://doaj.org/article/05cc4221404c47d3b693c5e979fe457a
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 460-472 (2024)
The application of machine learning techniques in biological research, especially when dealing with limited data availability, poses significant challenges. In this study, we leveraged advancements in method development for predicting protein-protein
Externí odkaz:
https://doaj.org/article/ec75bc088f3c43d29f0503f210929d2f