Quantum-based Mechanical Force Realization in Pico-Newton Range

We propose mechanical force realization based on flux quantization in the pico-Newton range. By controlling the number of flux quantum in a superconducting annulus, a force can be created as integer multiples of a constant step. For a 50 nm-thick Nb annulus with the inner and outer radii of 5 $\mu$m and 10 $\mu$m, respectively, and the field gradient of 10 T/m the force step is estimated to be 184 fN. The stability against thermal fluctuations is also addressed.Comment: 5 pages; 4 figure

Prognosis of Elderly Patients with Advanced Gastric Cancer without Serosal Invasion

Introduction: The impact of age on the prognosis of patients with gastric cancer is controversial. This study aimed to investigate the clinicopathologic features and prognosis of elderly, advanced gastric cancer patients without serosal invasion compared to their younger counterparts. Materials and Methods: We retrospectively evaluated 43 elderly patients with advanced gastric cancer without serosal invasion. The clinicopathologic findings were compared between the elderly (age >70 years) and young (age <36 years) patients. Results: Significantly higher numbers of elderly patients had tumors with differentiated histology, whereas more young patients had tumors with undifferentiated histology (P < 0.01). Curability (risk ratio, 3.122; confidence interval, 1.242-4.779; P < 0.001) was an independent prognostic factor of survival. The 5-year survival rates were not significantly different between the elderly and the young patients according to the absence of serosal invasion (80.0% vs 77.9%; P = 0.654) and undergoing curative resection (82.0% vs 78.9%; P = 0.312). Meanwhile, among the elderly patients, those who underwent curative resection had a better survival rate than those with non-curative resection (82.0% vs 67.8%; P < 0.001). Conclusion: Elderly patients with advanced gastric cancer without serosal invasion do not have a worse prognosis than their younger counterparts, indicating that age does not impact the prognosis of advanced gastric cancer. The important prognostic factor was whether the patients underwent curative resection

Screening for Early Gastric Cancer Using a Noninvasive Urine Metabolomics Approach

The early detection of gastric cancer (GC) could decrease its incidence and mortality. However, there are currently no accurate noninvasive markers for GC screening. Therefore, we developed a noninvasive diagnostic approach, employing urine nuclear magnetic resonance (NMR) metabolomics, to discover putative metabolic markers associated with GC. Changes in urine metabolite levels during oncogenesis were evaluated using samples from 103 patients with GC and 100 age- and sex-matched healthy controls. Approximately 70% of the patients with GC (n = 69) had stage I GC, with the majority (n = 56) having intramucosal cancer. A multivariate statistical analysis of the urine NMR data well discriminated between the patient and control groups and revealed nine metabolites, including alanine, citrate, creatine, creatinine, glycerol, hippurate, phenylalanine, taurine, and 3-hydroxybutyrate, that contributed to the difference. A diagnostic performance test with a separate validation set exhibited a sensitivity and specificity of more than 90%, even with the intramucosal cancer samples only. In conclusion, the NMR-based urine metabolomics approach may have potential as a convenient screening method for the early detection of GC and may facilitate consequent endoscopic examination through risk stratification

A STUDY ON USERS’ AWARENESS OF MOVING-PICTURE ADS IN MOVINF-PICTURE CONTENTS WITH DIFFERENT ONLINE MEDIA CHARATERISTICS

Internet plays an important role in our lives and the number of internet users keeps increasing. As internet users are exposed to ads from online media while not knowing, advertising market’s interest in moving-picture ads increases. Thus, this study comparatively measured effects of moving-picture ads inserted in news-related moving-picture contents of media companies and those of moving-picture ads inserted in moving-picture contents of professional moving-picture UCC. Advertising effects were compared between media characteristics (news and UCC) and keyword relatedness (related or unrelated keyword) and interactions of the two factors were measured. As a result, there was a significant difference in media characteristics and keyword relatedness. As for media characteristics, advertising effects of news-related moving pictures were higher than those of professional moving-picture UCC in all items. As for keyword relatedness, executing ads of keyword related to moving-picture contents was verified to have higher advertising effects than executing ads of unrelated keywords. There was no significant difference in interactions between these two factors. As interest in the moving picture advertising market increases, the necessity to introduce a method to analyze effects of moving-picture ads is raised. As for evaluation of advertising effects of moving pictures of media companies, the theme to be dealt in this paper, it is still difficult to state that moving-picture ads are facilitated in the overall market of moving picture services. So under such circumstances that verification is hard to achieve, the attempt of this study is considered to be meaningful. Keyword: media companies, UCC, moving-picture contents, moving-picture ads, advertising effects, media, new

Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation

We developed a method to predict heavy rainfall in South Korea with a lead time of one to six hours. We modified the AWS data for the recent four years to perform efficient prediction, through normalizing them to numeric values between 0 and 1 and undersampling them by adjusting the sampling sizes of no-heavy-rain to be equal to the size of heavy-rain. Evolutionary algorithms were used to select important features. Discriminant functions, such as support vector machine (SVM), k-nearest neighbors algorithm (k-NN), and variant k-NN (k-VNN), were adopted in discriminant analysis. We divided our modified AWS data into three parts: the training set, ranging from 2007 to 2008, the validation set, 2009, and the test set, 2010. The validation set was used to select an important subset from input features. The main features selected were precipitation sensing and accumulated precipitation for 24 hours. In comparative SVM tests using evolutionary algorithms, the results showed that genetic algorithm was considerably superior to differential evolution. The equitable treatment score of SVM with polynomial kernel was the highest among our experiments on average. k-VNN outperformed k-NN, but it was dominated by SVM with polynomial kernel

Holographic entanglement entropy probe on spontaneous symmetry breaking with vector order

We study holographic entanglement entropy in 5-dimensional charged black brane geometry obtained from Einstein-SU(2)Yang-Mills theory defined in asymptotically AdS space. This gravity system undergoes second order phase transition near its critical point affected by a spatial component of the Yang-Mills fields, which is normalizable mode of the solution. This is known as phase transition between isotropic and anisotropic phases. We get analytic solutions of holographic entanglement entropies by utilizing the solution of bulk spacetime geometry given in arXiv:1109.4592, where we consider subsystems defined on AdS boundary of which shapes are wide and thin slabs and a cylinder. It turns out that the entanglement entropies near the critical point shows scaling behavior such that for both of the slabs and cylinder, $\Delta_\varepsilon S\sim\left(1-\frac{T}{T_c}\right)^\beta$ and the critical exponent $\beta=1$, where $\Delta_\varepsilon S\equiv S^{iso}-S^{aniso}$, and $S^{iso}$ denotes the entanglement entropy in isotropic phase whereas $S^{aniso}$ denotes that in anisotropic phase. We suggest a quantity $O_{12}\equiv S_1-S_2$ as a new order parameter near the critical point, where $S_1$ is entanglement entropy when the slab is perpendicular to the direction of the vector order whereas $S_2$ is that when the slab is parallel to the vector order. $O_{12}=0$ in isotropic phase but in anisotropic phase, the order parameter becomes non-zero showing the same scaling behavior. Finally, we show that even near the critical point, the first law of entanglement entropy is hold. Especially, we find that the entanglement temperature for the cylinder is $\mathcal T_{cy}=\frac{c_{ent}}{a}$, where $c_{ent}=0.163004\pm0.000001$ and $a$ is the radius of the cylinder.Comment: 1+29 pages, 4 figure