Zobrazeno 1 - 10
of 2 818
pro vyhledávání: '"Qin Zhen"'
Autor:
Su Kejia, Ai Hanbing, Alvandi Ahmad, Lyu Chuan, Wei Xin, Qin Zhen, Tu Yong, Yan Yongjie, Nie Tao
Publikováno v:
Open Geosciences, Vol 16, Iss 1, Pp 1312-25 (2024)
Recent metaheuristic approaches are extensively and intensively being implemented to the interpretation of gravity anomalies due to their superior advantages. We emphasize the application of Hunger Games Search (HGS), a newly established metaheuristi
Externí odkaz:
https://doaj.org/article/c60d8d424b1e4f4aaf5c627771005bfe
Publikováno v:
Acta Biochimica et Biophysica Sinica, Vol 55, Pp 948-955 (2023)
Small cell lung cancer (SCLC) accounts for approximately 15% of all lung cancer cases and features a strong predilection for early metastasis and extremely poor prognosis. Despite being highly sensitive to chemotherapy and/or radiotherapy initially,
Externí odkaz:
https://doaj.org/article/ea62400ba15d4507b1d8ea0b2a187507
Publikováno v:
Green Processing and Synthesis, Vol 12, Iss 1, Pp 118610.1-25 (2023)
In response to the challenge of high packet loss rates due to poor mobility of PCs, we introduce a sustainable design evaluation system centered around wireless network handheld terminals. This system combines hardware components, including microproc
Externí odkaz:
https://doaj.org/article/ac761d84587b482084f8d7fd9247a8fe
Autor:
Min Tang, Shuangshuang Yao, Han Cao, Xiaohui Wei, Qin Zhen, Yijiong Tan, Fang Liu, Yufan Wang, Yongde Peng, Nengguang Fan
Publikováno v:
Frontiers in Endocrinology, Vol 14 (2023)
ObjectiveThe purpose of this study was to determine the relation between the lipid accumulation product index (LAPI) and diabetic kidney disease (DKD) in patients with type 2 diabetes mellitus (T2DM).MethodsHerein, 931 patients were enrolled and thei
Externí odkaz:
https://doaj.org/article/1fe40d19097a42a6a7bb2b1995627faa
Autor:
Na Li, Mingming Ma, Mengyu Lai, Liping Gu, Mei Kang, Zilong Wang, Shengyin Jiao, Kang Dang, Junxiao Deng, Xiaowei Ding, Qin Zhen, Aifang Zhang, Tingting Shen, Zhi Zheng, Yufan Wang, Yongde Peng
Publikováno v:
Journal of Diabetes, Vol 14, Iss 2, Pp 111-120 (2022)
Abstract Background The aim of our research was to prospectively explore the clinical value of a deep learning algorithm (DLA) to detect referable diabetic retinopathy (DR) in different subgroups stratified by types of diabetes, blood pressure, sex,
Externí odkaz:
https://doaj.org/article/5fdb72d1c0fc42ee8d911c9ab528753e
Autor:
Xiong, Wei, Shi, Chengshuai, Shen, Jiaming, Rosenberg, Aviv, Qin, Zhen, Calandriello, Daniele, Khalman, Misha, Joshi, Rishabh, Piot, Bilal, Saleh, Mohammad, Jin, Chi, Zhang, Tong, Liu, Tianqi
Recent studies have shown that large language models' (LLMs) mathematical problem-solving capabilities can be enhanced by integrating external tools, such as code interpreters, and employing multi-turn Chain-of-Thought (CoT) reasoning. While current
Externí odkaz:
http://arxiv.org/abs/2409.02392
Addressing critical challenges in Lamb wave resonators, this paper presents the first validation of resonators incorporating sub-wavelength through-holes. Using the A3 mode resonator based on a LiNbO3 single-crystal thin film and operating in the K b
Externí odkaz:
http://arxiv.org/abs/2409.00783
Quantum state tomography (QST) remains the gold standard for benchmarking and verification of near-term quantum devices. While QST for a generic quantum many-body state requires an exponentially large amount of resources, most physical quantum states
Externí odkaz:
http://arxiv.org/abs/2408.07115
We introduce LAMPO, a novel paradigm that leverages Large Language Models (LLMs) for solving few-shot multi-class ordinal classification tasks. Unlike conventional methods, which concatenate all demonstration examples with the test instance and promp
Externí odkaz:
http://arxiv.org/abs/2408.03359
Autor:
Shen, Jiaming, Xu, Ran, Jun, Yennie, Qin, Zhen, Liu, Tianqi, Yang, Carl, Liang, Yi, Baumgartner, Simon, Bendersky, Michael
Reward models (RMs) are crucial for aligning large language models (LLMs) with human preferences. They are trained using preference datasets where each example consists of one input prompt, two responses, and a preference label. As curating a high-qu
Externí odkaz:
http://arxiv.org/abs/2407.16008