Species of Chrysotus Meigen in Palaearctic China (Diptera: Dolichopodidae)

The species of the genus Chrysotus from Palaearctic China are reviewed and keyed. The following 5 species are described as new to science: Chrysotus bifurcatus sp. n., C. brevicercus sp. n., C. luoyangensis sp. n., C. sinuolatus sp. n., and C. xinjiangensis sp. n. Three species are recorded from China for the first time: C. gramineus (Fallén), C. suavis Loew, and C. pennatus Lichtwardt. Information on their distribution is also given or updated

Descriptions of four new species of Chrysotimus Loew from Tibet (Diptera: Dolichopodidae)

The occurrence of the genus Chrysotimus Loew, 1857 in Tibet is confirmed for the first time. The following four species are described as new to science: Chrysotimus bifurcatus sp. n., C. grandis sp. n., C. lii sp. n. and C. linzhiensis sp. n. A key is given to distinguish the Chinese species of the genus

Two new species of the genus Nepalomyia, with a key to species from China (Diptera: Dolichopodidae)

The species of the genus Nepalomyia Hollis, 1964 from China are reviewed and keyed. The following two species are described as new to science: Nepalomyia beijingensis sp. n. and N. ruiliensis sp. n. The distribution of the genus in China is discussed

Two new species of the genus Teuchophorus (Diptera: Dolichopodidae) from Taiwan

Two species are described as new to science from Taiwan: Teuchophorus elongatus sp. n. and T. taiwanensis sp. n. Currently three Teuchophorus species are known from Taiwan. A key is given to help identify the Chinese species

The impact of evidence type and message framing on promoting HPV vaccination in online health communities

Message features and type are crucial in health-related communication, especially due to the potential impact these messages can have on an individual's health. This study uses a 2 ' 2 experimental design (evidence type: statistical evidence vs. narrative evidence; message framing: gain-framed message vs. loss-framed message), to investigate how evidence type and message framing affect the attitudes, health beliefs, and intentions of college students in online health communities, regarding getting the HPV vaccination. Preliminary results (N=300) indicated that; (1) evidence type and message framing both influence attitudes and intentions significantly; Statistical evidence will lead to more favorable views than narrative evidence, and loss-framed messages will lead to more favorable views than gain-framed messages. (2) Concerning the interactions, we used construal level theory and found that, for gain-framed message, narrative evidence will lead to more favorable attitudes, free intentions, perceived benefits and barriers of HPV vaccination than statistical evidence; for loss-framed message, statistical evidence will lead to more favorable attitudes, intentions, perceived seriousness, benefits and barriers of HPV vaccination than narrative evidence

Research on health service system of smart communities for older adults

Smart community provides opportunities to develop the elder care system with information technologies for elderly people. Most existing studies on elder care system are from the macro level and there lacks practical development in this area, especially has ignored diversified elderly people’s health needs. This study tried to investigate the elderly people’s health needs by conducting interviews in two smart communities (Sanli community and Tieli community in Hefei city, Anhui province). We have interviewed 16 older adults and 16 of their grown-up children in the communities. With the help of Nvivo12, health needs about elderly people are coded into 57 free nodes and 8 tree nodes elderly people, which are further divided into four aspects based on the social support angle, information needs, instrument needs, substance needs, and emotion needs. Finally, we developed the health service system of smart communities from the subjects and functions of social support perspective. Through this study, we can better understand health needs of older adults and provide references for the development of health services in smart communitie

Residual Attention Network for Image Classification

In this work, we propose "Residual Attention Network", a convolutional neural network using attention mechanism which can incorporate with state-of-art feed forward network architecture in an end-to-end training fashion. Our Residual Attention Network is built by stacking Attention Modules which generate attention-aware features. The attention-aware features from different modules change adaptively as layers going deeper. Inside each Attention Module, bottom-up top-down feedforward structure is used to unfold the feedforward and feedback attention process into a single feedforward process. Importantly, we propose attention residual learning to train very deep Residual Attention Networks which can be easily scaled up to hundreds of layers. Extensive analyses are conducted on CIFAR-10 and CIFAR-100 datasets to verify the effectiveness of every module mentioned above. Our Residual Attention Network achieves state-of-the-art object recognition performance on three benchmark datasets including CIFAR-10 (3.90% error), CIFAR-100 (20.45% error) and ImageNet (4.8% single model and single crop, top-5 error). Note that, our method achieves 0.6% top-1 accuracy improvement with 46% trunk depth and 69% forward FLOPs comparing to ResNet-200. The experiment also demonstrates that our network is robust against noisy labels.Comment: accepted to CVPR201

Three new species of Argyra from China (Diptera, Dolichopodidae, Diaphorinae)

Previously, there were ten known species in the genus Argyra Macquart from China. In this paper, the following three species from Sichuan Province of China are described as new to science: Argyra longicornis sp. n., Argyra pingwuensis sp. n. and Argyra sichuanensis sp. n. A key to the known species of Argyra from China is provided

The genus Neurigona Rondani, 1856 (Diptera, Dolichopodidae) from Yunnan, China, with descriptions of seven new species and a key to the species of China

Previously, only three species of the genus Neurigona Rondani of the subfamily Neurigoninae were known from Yunnan Province. Here, we reviewed the species of Neurigona from Yunnan and added the following seven new species: N. apicilata sp. nov., N. basicurva sp. nov., N. brevidigitata sp. nov., N. convexa sp. nov., N. huanglianshana sp. nov., N. quadrimaculata sp. nov., and N. ventriprocessa sp. nov. All seven new species are sympatric and were collected from below a reservoir in the Huanglianshan Nature Reserve in Yunnan using three Malaise traps in 2019. This suggests a very high species richness in the Yunnan fauna. A key to the species of Neurigona from Chinese mainland is provided