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The effects of aging rolling temperature （150，200，250，300 ℃） on microstructure ， texture and magnetic properties of low-temperature grain-oriented silicon steel were studied by aging rolling experiment at different temperatures for 5 min. The results show that the aging rolling temperatures has no obvious effect on the microstructure morphology of cold rolling and primary recrystallization of low-temperature grain-oriented silicon steel. However， the contents of ｛111｝ and Goss in the primary recrystallization microstructure increased and then decreased with the increase of aging roll⁃ ing temperature， and with the highest contents at 200 ℃ for ｛111｝ texture， while at 250 ℃ for Goss texture. And the proportion of primary recrystallization texture of ｛411｝ and ｛100｝ is relatively low. The increase of Goss and ｛111｝ texture and the decrease of ｛100｝ texture in the primary recrystallization microstructure resulted in perfect secondary recrystallization of the sample during high temperature annealing. After high temperature annealing， there were fewer fine grains and island grains， and the final sheets had excellent magnetic properties.

The growing need to improve the quality and efficiency of translation by using technology has stimulated the practice of and research into translation technology teaching (TTT). Naturally, there is a need to analyse the state of the art and development of TTT from a quantitative perspective, because such research is still very scarce. This paper uses the bibliometric technologies, CiteSpace and VOSviewer in particular, to delineate the publication information of TTT-related research mainly in two citation databases, i.e., Web of Science (WoS) and China National Knowledge Infrastructure (CNKI), from the year 1999 to 2020. It finds that China is gaining importance in TTT-related research, that international English-language publications pay more attention to the teaching of MTPE, while Chinese-language publications focus more on corpus-based TTT, and that English publications tend to use empirical methods, while Chinese publications tend to adopt non-empirical methods. The differences between the two publication communities in research methods and focuses call for contact and exchange between the two communities.

This paper proposes a Chinese to Tibetan machine translation system with multiple translating strategies. The key corpora and technologies are explained in detail. Experiments show the sub systems output the translation of each phrase in the same order as they are in the Chinese sentence rather than in a Tibetan sentence, which leads to worse translation quality. So an order adjusting model is essential to Chinese to Tibetan translation system. The recall of translation phrase makes an improvement of 9.71% over the popular off-the-shelf language neutral statistical machine translation programme Moses. Our translation system achieves a speed ofabout 0.175s per sentence, which meets the requirement of the computer aided translation system.

The Tibetan trisyllabic light verb construction is a type of widely used verb phrase that is composed of a disyllabic noun or adjective and a light verb. A large number of Tibetan trisyllabic light verb constructions are widely found in Tibetan. Successfully recognizing this type of phrase greatly contributes to Tibetan information processing, however, thorough and systematic academic research in this field has not yet been launched. Therefore, we propose a model for the recognition of Tibetan trisyllabic light verb constructions based on an integrated strategy in this paper. Firstly, we extract all trisyllabic light verb construction candidates from a Tibetan corpus. In this step, light verbs are used as retrieval marks. Secondly, we filter candidates using a statistics-based model, rule-based model, and integrated model separately. Experimental results show that the integrated model performs much better than the other strategies, which proves that linguistic features contribute a lot to the automatic recognition of Tibetan trisyllabic light verb constructions by computers.

Background: We aimed to explore the association between visit-to-visit systolic blood pressure variability (BPV) and cognitive function in individuals with type 2 diabetes., Methods: We performed a post hoc analysis of the Action to Control Cardiovascular Risk in Diabetes Memory in Diabetes (ACCORD-MIND) substudy. A total of 2867 diabetes patients with ≥3 BP measurements between the 4- and 20-month visits were included. Visit-to-visit systolic BPV was calculated. Cognitive decline was defined as a Mini-Mental State Exam (MMSE), Digit Symbol Substitution Test (DSST), or Rey Auditory Verbal Learning Test (RAVLT) score greater than 1 standard deviation (SD) below the baseline mean, or a Stroop test score more than 1 SD above the baseline mean. The associations of systolic BPV with risks of cognitive decline were examined using Cox proportional hazards models, and with changes in brain magnetic resonance imaging parameters were evaluated using mixed models., Results: The risk of cognitive decline defined by the DSST score (but not by other scores) increased significantly with systolic BPV quartiles (p for trend = 0.008), and there was a 55% increased risk for BPV quartile 4 versus quartile 1 (hazard ratio = 1.55, 95% confidence interval 1.10-2.19). Furthermore, a positive correlation was observed between systolic BPV and change in white matter lesion volume (β = 0.07, 95% CI 0.01-0.13)., Conclusions: A greater visit-to-visit systolic BPV was significantly associated with an increased risk of cognitive decline measured by DSST and an increase in white matter lesion volume in patients with type 2 diabetes., (© 2024 The Author(s). Journal of Diabetes published by Ruijin Hospital, Shanghai Jiaotong University School of Medicine and John Wiley & Sons Australia, Ltd.)

Dry skin in winter and moisturization are important topics. We included 72 patients with a diagnosis of dry skin in winter, and the patients were instructed to apply moisturizing products as part of their treatment plan from October 2017 to January 2018. We contacted the patients via telephone 2 weeks after the dermatologist appointment. The results from this study showed that patient adherence to dermatologist-recommended moisturizers is low. This study indicates that patients need more guidance in their dry skin treatment.