Two new species and one new record species of Rhopus (Hymenoptera: Encyrtidae) from China, with a key to Chinese species

Guo‐Hao Zu,Cheng-De LI 한국곤충학회 2015 Entomological Research Vol.45 No.5

Rhopus antennalis sp. nov. and R. qingdaoensis sp. nov. are described as new to science and R. nigroclavatus (Ashmead, 1902) is first recorded from China. A key to all the known Chinese species of the genus also presented.

One new species and one new record species of Cerapteroceroides Ashmead (Hymenoptera: Encyrtidae) from China

Guo‐Hao Zu,Cheng-De LI 한국곤충학회 2017 Entomological Research Vol.47 No.5

Cerapteroceroides acutiscapus sp. nov. is described as new and Cerapteroceroides manaliensis Hayat and Khan, 2015 is first recorded from China.

Analysis on the Traditional Cultural Elements of the Chinese Animated Film Big Fish & Begonia

Guo-Hao Dou(도궈허) 한국엔터테인먼트산업학회 2019 한국엔터테인먼트산업학회논문지 Vol.13 No.7

애니메이션 영화 〈나의 붉은 고래〉는 최근 몇 년동안 중국 애니메이션 영화의 새로운 시도로 시장의 표현이든 예술 창작이든 모두 한 단계 진보한 것이다. 최근 10년간의 창작 과정에서 〈나의 붉은 고래〉는 중국 신화의 전설을 깊이 파헤쳐 현대 예술과 결합시켜 표현했다. 본 연구는 영화 속 중국 전통문화 요소를 연구의 출발점으로 삼아 캐릭터 디자인, 장면디자인, 민족문화 등 다양한 측면에서 분석했다. 〈나의 붉은 고래〉의 전통문화요소 분석을 통해 애니메이션 영화가 더 발전할 수 있는 방향을 찾아본다. 현대예술을 중국 전통문화와 융합시켜 민족문화의 특색을 살리는 것 등이다. 바로 〈나의 붉은 고래〉에 중국 문화코드가 많이 녹아 있고, 정교하게 설치돼 있어 좋은 평가를 받을 수 있다. The animated film Big Fish & Begonia is a new attempt of Chinese animated films in recent years. Both market performance and artistic creation are an improvement. In the process of creation in the past ten years, Big Fish & Begonia has profoundly excavated Chinese myths and legends and combined them with modern art. This study takes the traditional Chinese cultural elements in the film as the starting point for research, from the aspects of character design, scene design and national culture. Through the analysis of the traditional cultural elements in Big Fish & Begonia, try to find a better direction for the development of animated films, such as the integration of modern art and traditional culture. It is precisely because of the large number of Chinese cultural elements incorporated in the Big Fish & Begonia that it is ingeniously set up to bring visual enjoyment and inner resonance to the audience.

Growth of Human Colon Cancer Cells in Nude Mice is Delayed by Ketogenic Diet With or Without Omega-3 Fatty Acids and Medium-chain Triglycerides

Hao, Guang-Wei,Chen, Yu-Sheng,He, De-Ming,Wang, Hai-Yu,Wu, Guo-Hao,Zhang, Bo Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.5

Background: Tumors are largely unable to metabolize ketone bodies for energy due to various deficiencies in one or both of the key mitochondrial enzymes, which may provide a rationale for therapeutic strategies that inhibit tumor growth by administration of a ketogenic diet with average protein but low in carbohydrates and high in fat. Materials and Methods: Thirty-six male BALB/C nude mice were injected subcutaneously with tumor cells of the colon cancer cell line HCT116. The animals were then randomly split into three feeding groups and fed either a ketogenic diet rich in omega-3 fatty acids and MCT (MKD group; n=12) or lard only (LKD group; n=12) or a standard diet (SD group; n=12) ad libitum. Experiments were ended upon attainment of the target tumor volume of $600mm^3$ to $700mm^3$. The three diets were compared for tumor growth and survival time (interval between tumor cell injection and attainment of target tumor volume). Results: The tumor growth in the MKD and LKD groups was significantly delayed compared to that in the SD group. Conclusions: Application of an unrestricted ketogenic diet delayed tumor growth in a mouse xenograft model. Further studies are needed to address the mechanism of this diet intervention and the impact on other tumor-relevant parameters such as invasion and metastasis.

The Simulation Study of Circulating Tumor Cells Collection using Electrophoresis Method

( Guo-hao Lu ),( Deng-chyang Wu ),( Chao-wang Young ) 한국농업기계학회 2018 한국농업기계학회 학술발표논문집 Vol.23 No.1

Cancer is one of the leading causes of morbidity and mortality worldwide. The most method in the treatment of cancer is early detection, and the concentration of circulating tumor cells (CTCs) in the peripheral blood is the important factor. CTCs are cells that have shed into the vasculature or lymphatic from a primary cancer cells and are carried around the body in the circulation system. CTCs thus constitute seeds for the subsequent growth of additional tumors in vital distant organs, triggering a mechanism that is responsible for the vast majority of cancer-related deaths. CTCs also have the potential to provide a mechanism for early patient prognoses and to determine appropriate tailored treatments. In this study, the technologies of electrophoresis and micro-flow channel were used to separate two different size (20μm, 10μm) particles (simulate as CTCs and normal cells), for collecting sufficient concentration of CTCs from the patient peripheral blood. Results show that this electrophoresis method can separate effectually two different size particles, under the field of dielectric electrophoresis (1MHz, 10V_pp),theinjectionflow(0.5μl/min) and solution conductivity (430μs/cm) in self-made micro-flow channel.

Principle of and Protection of Man-in-the-middle Attack Based on ARP Spoofing

Guo Hao,Guo Tao 한국정보처리학회 2009 Journal of information processing systems Vol.5 No.3

Principle of and Protection of Man-in-the-middle Attack Based on ARP Spoofing

Hao, Guo,Tao, Guo Korea Information Processing Society 2009 Journal of information processing systems Vol.5 No.3

Man-in-the-middle attack is used wildly as a method of attacking the network. To discover how this type of attack works, this paper describes a method of man-in-the-middle attack based on ARP spoofing, and proposes a method of preventing such attacks.

Research on the Usability of information Positioning Interaction Method in Instant Messaging App

Hao Yue Guo,반영환,Hui Liu,Tao Luo 대한인간공학회 2022 大韓人間工學會誌 Vol.41 No.3

Objective: This paper investigates an interaction method for quickly finding a target message in an instant messaging app and uses usability testing to determine whether this interaction method improves usability. Background: With the development of Internet technology and the widespread use of social media, instant messaging apps have become a must-have app for everyone. Due to this convenience, users need to deal with a large amount of information every day and searching and filtering consume a lot of time. It is necessary to study new interaction methods to solve problems. Method: Analyzed the structure of the focus area of the instant messaging app message lookup, identified problematic points and designed a new interaction method and prototype. Conducted usability evaluation of the old and new interaction methods using objective methods. 1) Designed experiments and questionnaires around three aspects of usability, effectiveness, efficiency, and user satisfaction. 2) Recruited testers to conduct tests. 3) Performed statistical analysis of the obtained data. Results: The efficiency and user experience of the new interaction method can be greatly improved, and the learning cost is low. The new interaction method significantly reduces the disadvantage of increasing the number of messages affecting the finding time. No matter how many messages it takes only about 6 seconds. Conclusion: With the increase of users' message processing, how to improve the search efficiency directly affects the user's satisfaction. In order to further expand the applicable groups and usage scenarios, it seems that further research and exploration are needed. Application: Based on the results of this study, there can be a faster way to find the interaction of messages in instant messaging apps. It provides a reference for future design of chat applications with gestures on touch screens. It is also to further increase the value of heuristic evaluation in usability studies. Importantly, it creates new methods of interaction and confirms the possibility.

Safety Evaluation of Lactobacillus paracasei subsp. paracasei LC-01,a Probiotic Bacterium

Hao Zhang,Yu Wang,Jing Sun,Zirui Guo,Huiyuan Guo,Fazheng Ren 한국미생물학회 2013 The journal of microbiology Vol.51 No.5

The safety of Lactobacillus paracasei subsp. paracasei LC-01was evaluated for its use as a potential probiotic. In our in vitro study, the antibiotic resistance and the ability to produce biogenic amine were determined. The results showed that the strain was sensitive to all tested antibiotics and did not produce biogenic amine except for tyramine. The oral toxicity of this strain was evaluated in Balb/C mice. One hundred mice were divided into 10 groups. Four groups were administered 0, 108, 109, or 1010 CFU/mouse per day dissolved in saline solution respectively, for 28 days. Three groups were injected intraperitoneally with 109 CFU/mouse dissolved in saline solution, and were killed 2, 5, and 10 days after injection. The last 3 groups were injected with the vehicle as controls respectively. The results showed that oral administration of the strain had no adverse effects on mouse body weight and that there was no treatment-associated bacterial translocation. Intraperitoneal administration caused a significant translocation to liver, spleen and kidney. However,this translocation did not cause illness or death throughout the experiment. The results suggest that L. paracasei subsp. paracasei LC-01 is likely to be safe for human consumption.

An Automatic Urban Function District Division Method Based on Big Data Analysis of POI

( Hao Guo ),( Haiqing Liu ),( Shengli Wang ),( Yu Zhang ) 한국정보처리학회 2021 Journal of information processing systems Vol.17 No.3

Along with the rapid development of the economy, the urban scale has extended rapidly, leading to the formation of different types of urban function districts (UFDs), such as central business, residential and industrial districts. Recognizing the spatial distributions of these districts is of great significance to manage the evolving role of urban planning and further help in developing reliable urban planning programs. In this paper, we propose an automatic UFD division method based on big data analysis of point of interest (POI) data. Considering that the distribution of POI data is unbalanced in a geographic space, a dichotomy-based data retrieval method was used to improve the efficiency of the data crawling process. Further, a POI spatial feature analysis method based on the mean shift algorithm is proposed, where data points with similar attributive characteristics are clustered to form the function districts. The proposed method was thoroughly tested in an actual urban case scenario and the results show its superior performance. Further, the suitability of fit to practical situations reaches 88.4%, demonstrating a reasonable UFD division result.