Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

Learning and generalizing to novel concepts with few samples (Few-Shot Learning) is still an essential challenge to real-world applications. A principle way of achieving few-shot learning is to realize a model that can rapidly adapt to the context of a given task. Dynamic networks have been shown capable of learning content-adaptive parameters efficiently, making them suitable for few-shot learning. In this paper, we propose to learn the dynamic kernels of a convolution network as a function of the task at hand, enabling faster generalization. To this end, we obtain our dynamic kernels based on the entire task and each sample and develop a mechanism further conditioning on each individual channel and position independently. This results in dynamic kernels that simultaneously attend to the global information whilst also considering minuscule details available. We empirically show that our model improves performance on few-shot classification and detection tasks, achieving a tangible improvement over several baseline models. This includes state-of-the-art results on 4 few-shot classification benchmarks: mini-ImageNet, tiered-ImageNet, CUB and FC100 and competitive results on a few-shot detection dataset: MS COCO-PASCAL-VOC.Comment: ECCV202

8-Chloro-4-cyclo­hexyl-2H-1,4-benzoxazin-3(4H)-one

In the crystal structure of title compound, C14H16ClNO2, the cyclo­hexyl ring is in a chair conformation. The molecules are connected into centrosymmetric dimers via weak C—H⋯O hydrogen bonds

N-Cyclo­hexyl-2-(2,3-dichloro­phenyl­sulfan­yl)acetamide

In the crystal structure of title compound, C14H17Cl2NOS, the cyclo­hexyl ring has a chair conformation and connects with an equatorial N atom. Mol­ecules are connected via N—H⋯O hydrogen bonds into chains

Bayesian operational modal analysis with multiple setups and multiple (possibly close) modes

Operational modal analysis (OMA) is increasingly applied to identify the modal properties of a constructed structure for its high economy in implementation. Though great achievement has been made in OMA, it is still challenging in the scenario of multiple setup data with close modes, due to the need to assemble the global mode shapes and the intervention of closemodes, especially when the data quality is low in some setups. A Bayesian approach is developed in this paper to compute the most probable value (MPV) of modal parameters incorporating data from multiple setups and multiple (possibly close) modes. It employs an expectation-maximisation algorithm which admits an analytical update of modal parameters except the frequencies and damping ratios, thus allowing an efficient computation of the MPV, usually in the order of tens of seconds for each frequency band even when there are a large number of degrees of freedom and long data. A comprehensive study based on synthetic and field test data is presented to illustrate the performance of the proposed algorithm. Comparing with three existing algorithms, it shows the quality of the identified global mode shape is good and insensitive to the method used when the data quality is consistently high in all setups; However, only the proposed Bayesian approach yields consistently reasonable results when the data quality is low in some setups.Accepted versionThis work is funded by the UK Engineering & Physical Sciences Research Council (EP/N017897/1). In addition, the first author is supported by the Joint University of Liverpool/China Scholarship Council Scholarship, the second author by grant SUG/4 at the Nanyang Technological University, Singapore, the third and fourth authors by the ZJU-UIUC Institute of Zhejiang University (130000-171207704/018)

N-Benzyl-2-(2-chloro-4-methyl­phen­oxy)acetamide

The structure determination of the title compound, C16H16ClNO2, was performed as part of a project on the inter­actions between small organic mol­ecules and proteins. In the crystal structure, the dihedral angle between the two aromatic rings is 16.14 (12)°. The molecules are connected via N—H⋯O hydrogen bonding into chains, which extend in the direction of the b axis

苏州大学中、外医学生对控烟KAP的比较研究

Objective: Based on the survey of the knowledge-attitude-belief and practice to tobacco control between Chinese and foreign medical students in Soochow University, the authors intended to explore the current situation, differences and influencing factors of Chinese and foreign medical students, in order to provide a reference for tobacco control policies and measures set by the Medical College of Soochow University. Methods: By stratified sampling, we selected 200 Chinese medical students and 200 foreign medical students of Medical College in different grades and different majors, and adopted anonymous questionnaires to investigate. Results: The smoking rates of Chinese and foreign male medical students were 7.4%, 15.5% respectively , while female medical students' smoking rates were 0.0, 8.1% respectively. Foreign medical students’ daily smoking was mostly 4~10, which was significantly greater than the Chinese medical students （P<0.05）; besides, the identification degree to the responsibilities and duties for smoking control of the professional medical staff were both higher. The influence of the different smoking rates between Chinese and foreign medical students was mainly ethnic background, and the influences of the different smoking behavior mainly depended on their knowledge and attitude towards tobacco control. Conclusion: There is a need for schools to adopt health education measure to promote the school tobacco control based on the differences of the knowledge-attitude-belief and practice to tobacco control between Chinese and Foreign Medical students. Help medical students to translate knowledge of tobacco control they have already mastered into belief, and further affect their behavior.目的  通过对苏州大学中、外医学生关于控烟知信行的调查，探讨中、外医学生控烟知信行的现状、差异及影响因素，为苏州大学医学部制定控烟政策和措施提供参考依据。方法  采用分层随机抽样的方法抽取医学部不同年级不同专业中国与外国医学生各200人，采用自填式匿名问卷进行调查。结果  中、外男性医学生现在吸烟率分别为7.4%、15.5%，女性医学生吸烟率分别为0.0%、8.1%。外国医学生吸烟者的日均吸烟量多为4~10支，显著大于中国医学生的2~3支（P<0.05）；中、外医学生对职业医务人员控烟责任与义务的认同度都比较高。影响中、外医学生吸烟率的主要因素是民族背景，影响吸烟行为的主要因素是对控烟知识的了解以及态度。结论  学校应针对中、外医学生的知、信、行差异综合采取健康教育策略，促进校园控烟工作。帮助医学生将所掌握的控烟知识内化为信念，进而改变不良行为

Construction of cytoplasmic molecular markers distinguishing Danio rerio from Gobiocypris rarus at high identity domains based on MP-PCR strategy and Sybr Green I detection

To distinguish the cytoplasm of Danio rerio from that of Gobiocypris rarus, we cloned G. rarus COXI and constructed cytoplasmic molecular markers at the high identity domains of COXI by mutated primer PCR (MP-PCR for short). Then Sybr Green I was used to detect the single amplicon. As a result, we succeeded in getting the cytoplasmic molecular markers, G.M COXI and Z.M COXI, by MP-PCR strategy. They were used to detect the sperm-derived mtDNA in the sexual hybrid embryos (D. rerio female x G. rarus male) before the sphere stage. In the present study, all results demonstrate that MP-PCR approach and Sybr Green I detection are feasible to construct the molecular markers to identify genes that shared high identity.To distinguish the cytoplasm of Danio rerio from that of Gobiocypris rarus, we cloned G. rarus COXI and constructed cytoplasmic molecular markers at the high identity domains of COXI by mutated primer PCR (MP-PCR for short). Then Sybr Green I was used to detect the single amplicon. As a result, we succeeded in getting the cytoplasmic molecular markers, G.M COXI and Z.M COXI, by MP-PCR strategy. They were used to detect the sperm-derived mtDNA in the sexual hybrid embryos (D. rerio female x G. rarus male) before the sphere stage. In the present study, all results demonstrate that MP-PCR approach and Sybr Green I detection are feasible to construct the molecular markers to identify genes that shared high identity