Biological Effects Due to Hypomagnetic Field and Its Research Progress

The biological effects due to hypomagnetic field (HMF) is a very important subject for aerospace travelling and space station living, and a large number of studies on the bioeffects of the HMF have been carried out; however, many essential problems, such as physical mechanism, the harmful for human beings and other living organism of the biological effects, are still remaining unknown. In order to promote the solution to these problems, we assembled, classified and analyzed the studies on the biological effects due to the HMF. About one of the essential problem, i.e. the physical mechanism of the biological effects of HMF, we think that the yield of the singlet spin state of the radical pair theor

Pharmacological activities and pharmacokinetic study of hyperoside: A short review

Hyperoside (quercetin-3-O-D-galactoside) is a flavonol glycoside which has been  isolated from different plants. It has different pharmacological actions such as  anti-inflammatory, anti-depressant, neuroprotective, cardio-protective, anti-diabetic, anti-cancer, anti-fungal, radio-protective, gastro-protective, and antioxidant activities. Studies on its pharmacokinetic (PK) properties revealed that it is a stable compound with no significant gender variation in its activities. Other significant details on its pharmacological properties and information for future investigations on its components are provided.Keywords: Hyperoside; Anti-inflammatory, Antidepressant, Neuroprotective, Antidiabetic, Anticancer, Antioxidant, Cytochrome P45

M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis

Multimodal Aspect-based Sentiment Analysis (MABSA) is a fine-grained Sentiment Analysis task, which has attracted growing research interests recently. Existing work mainly utilizes image information to improve the performance of MABSA task. However, most of the studies overestimate the importance of images since there are many noise images unrelated to the text in the dataset, which will have a negative impact on model learning. Although some work attempts to filter low-quality noise images by setting thresholds, relying on thresholds will inevitably filter out a lot of useful image information. Therefore, in this work, we focus on whether the negative impact of noisy images can be reduced without modifying the data. To achieve this goal, we borrow the idea of Curriculum Learning and propose a Multi-grained Multi-curriculum Denoising Framework (M2DF), which can achieve denoising by adjusting the order of training data. Extensive experimental results show that our framework consistently outperforms state-of-the-art work on three sub-tasks of MABSA.Comment: Accepted by EMNLP 202

Proposal for Studying N∗N^* Resonances with pˉp→pˉnπ+\bar{p}p \to \bar{p}n \pi^+ Reaction

A theoretical study of $\bar{p}p \to \bar{p}n \pi^+$ reaction for anti-proton beam energy from 1 to 4 GeV is made by including contributions from various known $N^*$ and $\Delta^*$ resonances. It is found that for the beam energy around 1.5 GeV, the contribution of the Roper resonance $N^*_{(1440)}$ produced by the t-channel $\sigma$ exchange dominates over all other contributions. Since such reaction can be studied in the forthcoming $\bar{P}$ANDA experiment at Facility of Antiproton and Ion Research (FAIR), the reaction will be realistically the cleanest place for studying the properties of the Roper resonance and the best place for looking for other "missing" $N^*$ resonances with large coupling to $N\sigma$.Comment: 18 pages, 21 figure