Human-Computer Interaction Based on Semantic Focus+Context for Information Visualization

大数据成为继云计算和物联网之后,国际学术界和产业界所共同瞩目的又一个研究热点.信息可视化是辅助用户洞悉大数据背后隐藏的知识和规律的重要方法和有力 工具.如何在图形用户界面中对大规模信息以符合认知规律的方式进行可视化,并且使得计算机能够智能化的理解用户意图以配合其进行高效的人机交互,是信息可 视化面临的挑战之一.文中提出一种面向信息可视化的语义Focus+Context人机交互技术.首先,在基于空间距离的经典Focus+Context 数学模型基础上对其进行语义建模和扩展,建立了面向信息空间和可视化表征空间的语义距离模型以及语义关注度模型,定义了交互中的焦点对象与语义上下文.其 次,在此基础上建立了语义Fcous + Conext用户界面模型,给出了界面抽象元素和实体元素以及映射关系的形式化描述,同时建立了Focus+Context交互循环机制.最后,给出了应 用于经典Focus+Context及鱼眼数学模型的描述,表明文中提出方法具有很好的兼容性描述能力;同时,给出了面向文件系统主题聚集的语义Focu s+Context应用,给出了基于主题语义关注度与嵌套圆鱼眼视图的动态可视化实例,应用实例表明文中提出技术能够有效支持用户在信息可视化界面中对大 规模信息进行智能化的可视化和交互探索.Big data has become another revolutionary technology following the booming of cloud computing and internet of things. Information visualization is regarded as an essential approach and powerful tool for users to get insight from big data. However, great challenges still exist in information visualization and smart interaction in small interfaces according to cognitive law. This paper proposes a semantic Focus+Context interaction technology for information visualization in user interface. Firstly, a semantic distance model and a semantic Degree -Of-Interest (DOI) model towards information space and visual representation space are presented. And based on the models, semantic context related to a focus is defined. Secondly, the paper proposes a semantic Focus + Context based user interface model, defining both abstract and entity elements as well as the mappings in this kind of user interface. Finally, the proposed technology is applied to semantic theme clustering for exploration of large scale file systems. Application examples show that the proposed technology can effectively support large scale information visualization in small interface and intelligent interaction for semantic exploration of complex data

基于包络特征的非圆齿轮数字化设计与齿形优化研究

基于齿轮啮合原理和微分几何理论，获得插齿刀具与非圆齿轮齿坯的运动坐标转换关系，模拟了非圆齿轮齿廓获取的插齿加工过程；同时，针对非圆齿轮传动过程中的冲击振动和噪声问题，以插齿刀具修形为手段，以非圆齿轮齿廓修形为目的，得到了一种精确、高效、通用的非圆齿轮齿廓的修形设计方法；利用动力学仿真软件，对修形前后的非圆齿轮进行了运动学仿真。结果说明，修形后的非圆齿轮在传动过程中的冲击振动现象明显减弱，能够有效降低齿面磨损，较好地增加轮齿的使用寿命，验证了该修形方法的正确性。为非圆齿轮的实际应用与发展提供了重要的理论研究方法和设计依据

Sensitive and resistant genetic factors related to colorectal cancer in patients from Xiamen

目的:比较15个STR基因座基因频率在厦门地区大肠癌患者和正常人群中的分布,推测与大肠癌相关的基因．方法:应用PCR复合扩增结合四色荧光检测方法对血样DNA进行基因型分析,调查了本地区大肠癌患者人群和无关人群的基因频率分布,并根据二者的该15个基因座等位基因频率分布的显著性差异,推测易感连锁和抗性连锁的等位基因．结果:厦门地区大肠癌患者的D5S818(0．5200 vs 0,219 5,X2=36．69,P<0．01;RR=3．8521, P<0．05)、vWA(0．0500 vs 0．2927,X2=53．99, P<0．01;RR=0．1272,P<0．05)和FAG(0．09 vs 0．2439,X2=37．58,P<0．01:RR=0．3066, P<0．05)基因座的等位基因的分布与该地区健康人群有显著性差异,(P<0．01)．B组超微结构改变明显,而C组较B组超微结构有不同程度减轻．结论:D5S818-11附近可能存在大肠癌易感基因;vWA-15、FAG-23附近有可能存在与大肠癌相关的抗性基因．AIM: To compare the gene frequencies of 15 STR loci between patients with colorectal cancer and healthy people from Xiamen in order to search for the genes that related to the colorectal cancer. METHODS: The genotypes of the sample DNA were analyzed by multiplex polymerase chain reaction (PCR) combined with 4-colored fluorescence-labeled method. All the polymorphic alleles of these 15 STR loci in the unrelated healthy locals and patients with colorectal cancer were investigated. The sensitive or resistant genetic factors were inferred according to the statistical difference in the distribution of allele frequencies. RESULTS: There were statistical differences between the healthy controls and patients with colorectal cancer in allele frequencies of the three loci: D5S818 (0.520 0 vs 0.219 5, X2=36.69, P < 0.01; RR = 3.8521, P < 0.05), vWA (0.050 0 vs 0.292 7, X2=53.99, P < 0.01; RR = 0.127 2, P < 0.05), and FAG (0.09 vs 0.243 9, X2=37.58, P < 0.01; RR = 0.306 6, P < 0.05). CONCLUSION: It is very possible that there is a sensitive gene for colorectal cancer near the area of D5S818-11 locus, and there are resistant genes for colorectal cancer near the region of vWA-15 and FAG-23 locus

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel

JUNO sensitivity on proton decay p → ν K + searches*

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this study, the potential of searching for proton decay in the $p\to \bar{\nu} K^+$ mode with JUNO is investigated. The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits suppression of the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar{\nu} K^+$ is 36.9% ± 4.9% with a background level of $0.2\pm 0.05({\rm syst})\pm$$0.2({\rm stat})$ events after 10 years of data collection. The estimated sensitivity based on 200 kton-years of exposure is $9.6 \times 10^{33}$ years, which is competitive with the current best limits on the proton lifetime in this channel and complements the use of different detection technologies

Prediction of Energy Resolution in the JUNO Experiment

International audienceThis paper presents the energy resolution study in the JUNO experiment, incorporating the latest knowledge acquired during the detector construction phase. The determination of neutrino mass ordering in JUNO requires an exceptional energy resolution better than 3% at 1 MeV. To achieve this ambitious goal, significant efforts have been undertaken in the design and production of the key components of the JUNO detector. Various factors affecting the detection of inverse beta decay signals have an impact on the energy resolution, extending beyond the statistical fluctuations of the detected number of photons, such as the properties of liquid scintillator, performance of photomultiplier tubes, and the energy reconstruction algorithm. To account for these effects, a full JUNO simulation and reconstruction approach is employed. This enables the modeling of all relevant effects and the evaluation of associated inputs to accurately estimate the energy resolution. The study reveals an energy resolution of 2.95% at 1 MeV. Furthermore, the study assesses the contribution of major effects to the overall energy resolution budget. This analysis serves as a reference for interpreting future measurements of energy resolution during JUNO data taking. Moreover, it provides a guideline in comprehending the energy resolution characteristics of liquid scintillator-based detectors