Mardi 7 nov. : La Chine
今天我们访问中国
Jīntiān wǒmen fǎngwèn zhōngguó
Nuits de Chine - Lavoine
~ Le clip de Nathie13or est magnifique !
@torpen.bsky.social
#BlueZicos2023
#MusicChallenge
Mardi 7 nov. : La Chine
今天我们访问中国
Jīntiān wǒmen fǎngwèn zhōngguó
Nuits de Chine - Lavoine
~ Le clip de Nathie13or est magnifique !
@torpen.bsky.social
#BlueZicos2023
#MusicChallenge
PLUS: Premium Literature Service helps with clinical literature overload by selecting articles
#PRC10
PLUS: Premium Literature Service helps with clinical literature overload by selecting articles
#PRC10
◆ 访问 [ fǎngwèn ]
【意味】 訪問する
【解説】 「訪」は言葉を交わす意。「問」は尋ねる意。公式な表敬訪問や、目上の人への面会に用いる重厚な語。
【注意】 他動詞。人や場所を目的語に取る。旅行や観光には「旅遊」を用い、混同を避けること。
【例文】 我明天要去访问那位著名的中国作家。
◆ 访问 [ fǎngwèn ]
【意味】 訪問する
【解説】 「訪」は言葉を交わす意。「問」は尋ねる意。公式な表敬訪問や、目上の人への面会に用いる重厚な語。
【注意】 他動詞。人や場所を目的語に取る。旅行や観光には「旅遊」を用い、混同を避けること。
【例文】 我明天要去访问那位著名的中国作家。
控制平面 (kòngzhì píngmiàn = "control plane")
身份与访问 (shēnfèn yǔ fǎngwèn = "identity & access")
备份/灾备 (bèifèn / zāibèi = "backup / DR")
可观测性 (kě guāncè xìng = "observability")
计费/配额 (jìfèi / pèi'é = "billing / quota")
升级编排 (shēngjí biānpái = "upgrade orchestration")
控制平面 (kòngzhì píngmiàn = "control plane")
身份与访问 (shēnfèn yǔ fǎngwèn = "identity & access")
备份/灾备 (bèifèn / zāibèi = "backup / DR")
可观测性 (kě guāncè xìng = "observability")
计费/配额 (jìfèi / pèi'é = "billing / quota")
升级编排 (shēngjí biānpái = "upgrade orchestration")
◆ 访问 [ fǎngwèn ]
【意味】 (動)訪問する、訪ねる
【解説】 「訪」は言葉を交わす意、「問」は尋ねる意。改まった訪問や公式な調査、面談を指す格調高い語。
【注意】 他動詞。人や場所を直接目的語にとる。「訪問する」の名詞形としても使用可能。
【例文】 我明天要去访问一位中国著名的作家。
◆ 访问 [ fǎngwèn ]
【意味】 (動)訪問する、訪ねる
【解説】 「訪」は言葉を交わす意、「問」は尋ねる意。改まった訪問や公式な調査、面談を指す格調高い語。
【注意】 他動詞。人や場所を直接目的語にとる。「訪問する」の名詞形としても使用可能。
【例文】 我明天要去访问一位中国著名的作家。
2512.24873, cs․AI | cs․CL, 04 Jan 2026
🆕Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Weixun Wang, XiaoXiao Xu, Wanhe An, Fangwen Dai, Wei Gao, Yancheng He, Ju Huang, Qiang Ji, Hanqi Ji...
2512.24873, cs․AI | cs․CL, 04 Jan 2026
🆕Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
Weixun Wang, XiaoXiao Xu, Wanhe An, Fangwen Dai, Wei Gao, Yancheng He, Ju Huang, Qiang Ji, Hanqi Ji...
RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning
https://arxiv.org/abs/2606.24338
RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning
https://arxiv.org/abs/2606.24338
OMNI-PoseX: A Fast Vision Model for 6D Object Pose Estimation in Embodied Tasks
https://arxiv.org/abs/2604.02759
OMNI-PoseX: A Fast Vision Model for 6D Object Pose Estimation in Embodied Tasks
https://arxiv.org/abs/2604.02759
A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT
https://arxiv.org/abs/2510.16771
A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT
https://arxiv.org/abs/2510.16771
Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
https://arxiv.org/abs/2508.15354
Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
https://arxiv.org/abs/2508.15354
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks
https://arxiv.org/abs/2408.15663
NeuroVE: Brain-inspired Linear-Angular Velocity Estimation with Spiking Neural Networks
https://arxiv.org/abs/2408.15663
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
https://arxiv.org/abs/2405.05542
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
https://arxiv.org/abs/2405.05542
CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
https://arxiv.org/abs/2410.20136
CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification
https://arxiv.org/abs/2410.20136