Zobrazeno 1 - 10
of 3 050
pro vyhledávání: '"Ma Shuang"'
Publikováno v:
Redai dili, Vol 44, Iss 5, Pp 864-876 (2024)
Urban agglomerations are the main spatial carriers of national and regional urbanization development. The study of their spatial association networks is of great significance for optimizing the allocation of urban resources, promoting the process of
Externí odkaz:
https://doaj.org/article/56aa11f9c1354515a46a9fc34732797c
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 49, Iss 11, Pp 1175-1179 (2022)
Pyroptosis is a newly discovered way of proinflammatory programmed cell death. Pyroptosis is mediated by caspase-1 (Caspase-1). Through the cleavage and activation of GSDM family proteins, small pores are formed on the cell membrane, thus rapid lysis
Externí odkaz:
https://doaj.org/article/0633c51030e84ac8aa7b0033d1dd43e8
Publikováno v:
Annals of Microbiology, Vol 72, Iss 1, Pp 1-11 (2022)
Abstract In agriculture, Bacillus species are efficient and ecologically tool for promote the growth of the plant. Purpose: This study obtains the plant growth-promoting (PGP) ability of endophytic bacteria isolated from the potato tubers. Methods: U
Externí odkaz:
https://doaj.org/article/410bc9fb51e942c987b86c2228602de1
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 16, Iss 1, Pp 1-7 (2021)
Abstract Aim To explore the effects of hypothermia and hypoxia on rat skeletal muscle and lipid metabolism. Method Forty male rats were randomly divided into blank group, low-temperature group, hypoxia group, and hypothermia combined with hypoxia gro
Externí odkaz:
https://doaj.org/article/728b137e409a4d10a265e0eeb8764163
Autor:
Lu, Jiarui, Holleis, Thomas, Zhang, Yizhe, Aumayer, Bernhard, Nan, Feng, Bai, Felix, Ma, Shuang, Ma, Shen, Li, Mengyu, Yin, Guoli, Wang, Zirui, Pang, Ruoming
Recent large language models (LLMs) advancements sparked a growing research interest in tool assisted LLMs solving real-world challenges, which calls for comprehensive evaluation of tool-use capabilities. While previous works focused on either evalua
Externí odkaz:
http://arxiv.org/abs/2408.04682
Autor:
Gunter, Tom, Wang, Zirui, Wang, Chong, Pang, Ruoming, Narayanan, Andy, Zhang, Aonan, Zhang, Bowen, Chen, Chen, Chiu, Chung-Cheng, Qiu, David, Gopinath, Deepak, Yap, Dian Ang, Yin, Dong, Nan, Feng, Weers, Floris, Yin, Guoli, Huang, Haoshuo, Wang, Jianyu, Lu, Jiarui, Peebles, John, Ye, Ke, Lee, Mark, Du, Nan, Chen, Qibin, Keunebroek, Quentin, Wiseman, Sam, Evans, Syd, Lei, Tao, Rathod, Vivek, Kong, Xiang, Du, Xianzhi, Li, Yanghao, Wang, Yongqiang, Gao, Yuan, Ahmed, Zaid, Xu, Zhaoyang, Lu, Zhiyun, Rashid, Al, Jose, Albin Madappally, Doane, Alec, Bencomo, Alfredo, Vanderby, Allison, Hansen, Andrew, Jain, Ankur, Anupama, Anupama Mann, Kamal, Areeba, Wu, Bugu, Brum, Carolina, Maalouf, Charlie, Erdenebileg, Chinguun, Dulhanty, Chris, Moritz, Dominik, Kang, Doug, Jimenez, Eduardo, Ladd, Evan, Shi, Fangping, Bai, Felix, Chu, Frank, Hohman, Fred, Kotek, Hadas, Coleman, Hannah Gillis, Li, Jane, Bigham, Jeffrey, Cao, Jeffery, Lai, Jeff, Cheung, Jessica, Shan, Jiulong, Zhou, Joe, Li, John, Qin, Jun, Singh, Karanjeet, Vega, Karla, Zou, Kelvin, Heckman, Laura, Gardiner, Lauren, Bowler, Margit, Cordell, Maria, Cao, Meng, Hay, Nicole, Shahdadpuri, Nilesh, Godwin, Otto, Dighe, Pranay, Rachapudi, Pushyami, Tantawi, Ramsey, Frigg, Roman, Davarnia, Sam, Shah, Sanskruti, Guha, Saptarshi, Sirovica, Sasha, Ma, Shen, Ma, Shuang, Wang, Simon, Kim, Sulgi, Jayaram, Suma, Shankar, Vaishaal, Paidi, Varsha, Kumar, Vivek, Wang, Xin, Zheng, Xin, Cheng, Walker, Shrager, Yael, Ye, Yang, Tanaka, Yasu, Guo, Yihao, Meng, Yunsong, Luo, Zhao Tang, Ouyang, Zhi, Aygar, Alp, Wan, Alvin, Walkingshaw, Andrew, Lin, Antonie, Farooq, Arsalan, Ramerth, Brent, Reed, Colorado, Bartels, Chris, Chaney, Chris, Riazati, David, Yang, Eric Liang, Feldman, Erin, Hochstrasser, Gabriel, Seguin, Guillaume, Belousova, Irina, Pelemans, Joris, Yang, Karen, Vahid, Keivan Alizadeh, Cao, Liangliang, Najibi, Mahyar, Zuliani, Marco, Horton, Max, Cho, Minsik, Bhendawade, Nikhil, Dong, Patrick, Maj, Piotr, Agrawal, Pulkit, Shan, Qi, Fu, Qichen, Poston, Regan, Xu, Sam, Liu, Shuangning, Rao, Sushma, Heeramun, Tashweena, Merth, Thomas, Rayala, Uday, Cui, Victor, Sridhar, Vivek Rangarajan, Zhang, Wencong, Zhang, Wenqi, Wu, Wentao, Zhou, Xingyu, Liu, Xinwen, Zhao, Yang, Xia, Yin, Ren, Zhile, Ren, Zhongzheng
We present foundation language models developed to power Apple Intelligence features, including a ~3 billion parameter model designed to run efficiently on devices and a large server-based language model designed for Private Cloud Compute. These mode
Externí odkaz:
http://arxiv.org/abs/2407.21075
Autor:
Yin, Guoli, Bai, Haoping, Ma, Shuang, Nan, Feng, Sun, Yanchao, Xu, Zhaoyang, Ma, Shen, Lu, Jiarui, Kong, Xiang, Zhang, Aonan, Yap, Dian Ang, zhang, Yizhe, Ahnert, Karsten, Kamath, Vik, Berglund, Mathias, Walsh, Dominic, Gindele, Tobias, Wiest, Juergen, Lai, Zhengfeng, Wang, Xiaoming, Shan, Jiulong, Cao, Meng, Pang, Ruoming, Wang, Zirui
Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to evaluate their capabilities as human-like agents. Existing benchmarks, while useful, often focus on specific application scenarios, emphasizing
Externí odkaz:
http://arxiv.org/abs/2407.18961
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 15, Iss 2, Pp 159-164 (2020)
Objectives This study is focused on whether CFD can be used to analyze the temperature distribution in the core storage of ocean exploration vessels.Methods In the core storage of ocean exploration vessels, high-temperature storage is 4℃, low-tempe
Externí odkaz:
https://doaj.org/article/a3bf31d56a35498b9606608569f110a4
Publikováno v:
Cailiao gongcheng, Vol 47, Iss 3, Pp 147-153 (2019)
The lattice parameter, local magnetic moment and the relative stability of ferromagnetic bcc and antiferromagnetic fcc phases structure of Fe52T2(T=Cr,Mn,Co,Ni) alloys were studied by first principles method based on density functional theory. The re
Externí odkaz:
https://doaj.org/article/bc9ea44ab1f04fbd886e129b4ec0d404
Autor:
Zheng, Ruijie, Liang, Yongyuan, Wang, Xiyao, Ma, Shuang, Daumé III, Hal, Xu, Huazhe, Langford, John, Palanisamy, Praveen, Basu, Kalyan Shankar, Huang, Furong
We present Premier-TACO, a multitask feature representation learning approach designed to improve few-shot policy learning efficiency in sequential decision-making tasks. Premier-TACO leverages a subset of multitask offline datasets for pretraining a
Externí odkaz:
http://arxiv.org/abs/2402.06187