Space advanced technology demonstration satellite

The Space Advanced Technology demonstration satellite (SATech-01), a mission for low-cost space science and new technology experiments, organized by Chinese Academy of Sciences (CAS), was successfully launched into a Sun-synchronous orbit at an altitude of similar to 500 km on July 27, 2022, from the Jiuquan Satellite Launch Centre. Serving as an experimental platform for space science exploration and the demonstration of advanced common technologies in orbit, SATech-01 is equipped with 16 experimental payloads, including the solar upper transition region imager (SUTRI), the lobster eye imager for astronomy (LEIA), the high energy burst searcher (HEBS), and a High Precision Magnetic Field Measurement System based on a CPT Magnetometer (CPT). It also incorporates an imager with freeform optics, an integrated thermal imaging sensor, and a multi-functional integrated imager, etc. This paper provides an overview of SATech-01, including a technical description of the satellite and its scientific payloads, along with their on-orbit performance

STOA-VLP: Spatial-Temporal Modeling of Object and Action for Video-Language Pre-training

Although large-scale video-language pre-training models, which usually build a global alignment between the video and the text, have achieved remarkable progress on various downstream tasks, the idea of adopting fine-grained information during the pre-training stage is not well explored. In this work, we propose STOA-VLP, a pre-training framework that jointly models object and action information across spatial and temporal dimensions. More specifically, the model regards object trajectories across frames and multiple action features from the video as fine-grained features. Besides, We design two auxiliary tasks to better incorporate both kinds of information into the pre-training process of the video-language model. The first is the dynamic object-text alignment task, which builds a better connection between object trajectories and the relevant noun tokens. The second is the spatial-temporal action set prediction, which guides the model to generate consistent action features by predicting actions found in the text. Extensive experiments on three downstream tasks (video captioning, text-video retrieval, and video question answering) demonstrate the effectiveness of our proposed STOA-VLP (e.g. 3.7 Rouge-L improvements on MSR-VTT video captioning benchmark, 2.9% accuracy improvements on MSVD video question answering benchmark, compared to previous approaches)

TG/HDL‐c ratio as a predictor of progressive infarction in patients with anterior circulation single subcortical infarction

Abstract Background The contributors predicting progressive infarction (PI) in patients with anterior circulation single subcortical infarction (ACSSI) and pontine single infarction (PSI) may be unidentical. The role of triglyceride to high‐density lipoprotein cholesterol (TG/HDL‐c) ratio on PI is unclear. The purpose of our study is to evaluate the correlation between TG/HDL‐c ratio and PI in patients with ACSSI or PSI. Methods Between January 2020 and October 2022, we retrospectively enrolled 738 patients including 638 ACSSI patients and 100 PSI patients to analyze. Demographic characteristics, clinical information, and laboratory data were collected within 24 h of admission. Results PI occurred in 143 (19.4%) patients. In univariate analysis, patients with PI had higher initial National Institutes of Health Stroke Scale (NIHSS) scores, higher discharge NIHSS scores, higher levels of fasting glucose, total cholesterol, TG, low‐density lipoprotein cholesterol, and TG/HDL‐c ratio, but lower levels of creatinine compared to patients with non‐PI (p < .05). Furthermore, the results of the subgroup analyses revealed the independent association between TG/HDL‐c ratio and PI in ACSSI patients (OR 1.079, 95% CI 1.009–1.153, p = .026) rather than in PSI patients. Additionally, a receiver operating characteristic curve indicated that the optimal predictive cutoff value of the TG/HDL‐c ratio was 3.985, and a TG/HDL‐c ratio ≥3.985 was more likely to experience PI in ACSSI patients. Conclusion In conclusion, the TG/HDL‐c ratio was independently associated with PI in patients with ACSSI

Application of <i>N</i>‑Halogeno‑<i>N</i>‑sodiobenzenesulfonamide Reagents to the Selective Detection of 5‑Methylcytosine in DNA Sequences

To surmount the challenges of the locus determination and accurate quantification of 5-methyl-2′-deoxycytidine (^5MedC) in DNA fragments that contain multiple ^5MedC residues, we designed and synthesized two <i>N</i>-halogeno-<i>N</i>-sodiobenzenesulfonamide reagents that provide a new chemical method for probing ^5MedC in DNA sequences. When the strategy we provided was combined with β-glucosyltransferase, ^5MedC could be distinguished from 5-hydroxymethyl-2′-deoxycytidine (^5hmdC) and deoxycytidine (dC) through the introduction of a glucose moiety to the hydroxyl group of ^5hmdC