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Pytorch 中文

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Thêm một lần chuyển ngữ 中文

Đó là vì người dịch ưa thích một câu chuyện, và cảm thấy gần gũi với tình huống đã từng trải qua. Tổng số chữ tiếng Trung sau khi hoàn thành khoảng 1080 chữ, tính cả tiêu đề.
osf.io

《中國歷史中的情感文化——對明清文獻的跨學科文本研究》

LANGUAGE NOTE | Document text in Chinese only. 《中國歷史中的情感文化——對明清文獻的跨學科文本研究》是西方漢學中的一部重要著作。該書以明清爲中心,系統研究中國的情感文化。在學術界,無論歷史研究還是文學研究,目前爲止,都鮮少有人涉足這一領域。因此這部書格外引人注目。(撮要取自內文首段)
ejournals.lib.hkbu.edu.hk

Deep learning-based upsampling of 2D detector array measurements for patient plan verification in radiotherapy.

Detector arrays are commonly used for treatment plan verifications in intensity modulated radiation therapy. However, the intrinsic resolution of detector arrays is limited by the physical dimensions of each single detector and the detector-to-detector distance. This may lead to inaccurate representations of steep gradients and narrow dose peaks.
www.ncbi.nlm.nih.gov

出人意料,入文艺中

www.worldscientific.com

Optimizing Selective RF Pulses for Enhanced Signal Stability in Turbo Spin Echo Using a Differentiable Extended Phase Graph Model.

To improve slice profile consistency across echo trains in turbo spin echo (TSE) imaging, thereby reducing image blurring and increasing the accuracy of multi echo spin echo
www.ncbi.nlm.nih.gov

《經學與中國古代文學》

LANGUAGE NOTE | Document text in Chinese only. 儒家經學是中國封建社會的上層建築,隨着封建制度的終結,經學在當代成爲一種很少有人問津的冷門學問。但是,冷門學問不等於没有價值,日前香港大學出版社出版的《經學與中國古代文學》表明,適當關注儒家經學,對於中國古代文學研究是完全必要的。(撮要取自內文首段)
ejournals.lib.hkbu.edu.hk

[Construction of a prognosis forecasting model for immuno-therapy response in cancer patients by integrating routine clinical parameters and tumor mutational burden].

To develop a machine-learning model that integrates routine clinical parameters with tumor mutational burden (TMB) and to evaluate its performance in predicting responses to programmed death-1 (PD-1)/programmed death-ligand 1(PD-L1) inhibitors across various cancer types.
www.ncbi.nlm.nih.gov

Utilization of machine learning in diagnosis of postural tachycardia syndrome (POTS).

Postural orthostatic tachycardia syndrome (POTS) is a common autonomic disorder characterized by orthostatic intolerance and excessive tachycardia upon standing. Despite its prevalence, POTS is often underdiagnosed or diagnosed late, largely due to limited access to autonomic specialists and testing. This study aimed to evaluate the performance of machine learning (ML) models in diagnosing POTS using validated symptom surveys and physiological measurements.
www.ncbi.nlm.nih.gov

Automatic acromegaly detection using deep learning on hand images: a multicenter observational study.

Acromegaly poses clinical challenges in terms of early diagnosis and intervention. Therefore, the development of novel diagnostic tools is essential. Although artificial intelligence (AI) models based on external appearance have been proposed, privacy concerns have limited their use.
www.ncbi.nlm.nih.gov