Miracle-dz/UniFAR-FTUs huggingface dataset:
Zinc transporter 1 ( ZnT 1 ) is overexpressed in bladder cancer and promotes the proliferation and invasion of bladder cancer BIU 87 cells

This study is to determine the expression status of Zinc transporter 1 (ZnT1) and its correlation with clinicpathological parameters of bladder cancers and its role in the proliferation of bladder cancer cells. The mRNA and protein levels of ZnT1 in 62 bladder cancer tissue samples and 15 adjacent normal tissues were determined by real-time PCR and Western blot analysis, respectively. Immunohistochemistry (IHC) was performed to evaluate ZnT1 protein expression in 106 bladder cancer tissues and the correlation with different clinic-pathological factors. Small interfering RNA (siRNA) was used to investigate the effects of ZnT1 knockdown on the growth, migration and invasion of human bladder cancer BIU87 cells. The mRNA and protein levels of ZnT1 in bladder cancer tissues were significantly greater than those in corresponding normal bladder tissues. IHC analysis showed ZnT1 was upregulated in 71.7% (76/106) of bladder cancer samples, and was closely associated with gender, histological grade, tumor stage, and recurrence (P<0.01) of bladder cancer patients. Furthermore, silencing of ZnT1 by siRNA significantly inhibited the proliferation, migration and invasion of bladder cancer BIU87 cells (P<0.01). In conclusions, the findings of our study indicate that deregulation of ZnT1 may play an important role in the development and progression of bladder cancer.
Number : WUCSE-2006-63 2006-0101 Link Layer Support for Unified Radio Power Management In Wireless Sensor Networks

Radio power management is of paramount concern in wireless sensor networks that must achieve long lifetimes on scarce amounts of energy. While a multitude of power management protocols have been proposed in the past, the lack of system support for flexibly integrating them with a diverse set of applications and network platforms has made them difficult to use. Instead of proposing yet another power management protocol, this paper focuses on providing link layer support towards realizing a Unified Power Management Architecture (UPMA) for flexible radio power management in wireless sensor networks. In contrast to the monolithic approaches adopted by existing power management solutions, we provide (1) a set of standard interfaces that allow different power management protocols existing at the link layer to be easily implemented on top of common MAC level functionality, (2) an architectural framework for enabling these protocols to be easily swapped in and out depending on the needs of the applications that require them, and (3) a mechanism for coordinating the existence of multiple applications, each of which may have different requirements for the same underlying power management protocol. We have implemented these features on the Mica2 and Telosb radio stacks in TinyOS-2.0. Microbenchmark results demonstrate that the separation of power management from MAC level functionality incurs a negligible decrease in performance when compared to existing monolithic Type of Report: Other Department of Computer Science & Engineering Washington University in St. Louis Campus Box 1045 St. Louis, MO 63130 ph: (314) 935-6160 Link Layer Support for Unified Radio Power Management in Wireless Sensor Networks Kevin Klues, Guoliang Xing, Chenyang Lu Department of Computer Science and Engineering Washington University in St. Louis {klueska, xing, lu}@cse.wustl. edu
Pose Estimation by Optimizing Real-time Multi-step GA ’ s Parameters

3D pose estimation using dynamic images input by video rate should be conducted in short time when the estimated pose would be used for real-time feedback control. Controlling with 3D pose estimated through single camera images has been studied so far ardently, but it has been confirmed that estimated position accuracy in camera depth direction is not enough. The authors have proposed a new 3D position and orientation (pose) estimation method with dual-eye cameras that exploits the parallactic nature that enables reliable 3D pose estimation in real-time, named as “Real-time Multi-step Genetic Algorithm (RMGA). ” This paper focuses on improving dynamic performance of dual-eye real-time pose tracking by tuning parameters used in RM-GA, having confirmed that the dynamical performance in time domain to estimate target marker’s pose in real-time has been optimized.
Improved Ant Colony Algorithm Based on Elitist Strategy and Application

The basic ant colony algorithm converges slowly,is prone to plunge into partial optimum and results in search stagnation.In this paper,the optimized compositor is introduced into elitist strategy.According to ant compositor,new weighted coefficient is designed for pheromone updating.The simulation results of 30-city logistic distribution show that improved algorithm is more efficient and accurate than the basic ant colony algorithm.
SIMILARITY ON TURBULENT TRANSFERS OF HEAT , WATER VAPOR , AND CARBON DIOXIDE OVER A SUBURBAN SURFACE UNDER WEAKLY UNSTABLE CONDITION

The use of Monin-Obukov similarity theory, hereafter MOS theory, to predict surface fluxes from associated variances, known as the flux-variance method, is a practical method to estimate the turbulent fluxes of momentum, heat, and water vapor. This method has been well developed for smooth, homogeneous surfaces such as grass, crop, and forest (e.g., Tillman, 1972; Weaver, 1990). Ohtaki (1985) found that the method has also been used to determine the turbulent statistics of carbon dioxide (CO2) concentration over homogeneous crop. The urban field experiment of Roth and Oke (1995) indicated that the empirical flux-variance relationship is not applicable for water vapor transfer due to the heterogeneity of water vapor sources. However, knowledge on the flux-variance relationships in urban surface layers is still much less than that in low-roughness homogeneous surfaces. In addition, the monitoring of CO2 flux in urban areas has become an important issue in urban surface studies (e.g., Grimmond et al., 2002; Moriwaki and Kanda, 2004). In urban environment there exists the difference in ground sources and sinks of heat, water vapor, and CO2: e.g., Moriwaki and Kanda (2004) showed that the main source of H2O is from vegetation and that of CO2 is from houses, transportation, and human exhalations in a suburban area in Tokyo Japan. Therefore, further inquiries on the features of turbulent transfer of scalars are needed not only for heat and vapor, but also for CO2. In this study, we analyzed data on the turbulent transfer of heat, vapor, and CO2 over the suburban surface. We examined the similarity of the vertical transfer of scalars that had different source distributions and different physical behavior by using the turbulent linear correlation coefficients, a method previously used by Roth and Oke (1995). Also, we used wavelet analysis to determine the time-scale characteristics of the turbulent transfer of scalars for the evaluation of the ‘local’ similarity, and quadrant analysis to determine the contributions of sweep or ejection motion to the total fluxes.
Who supports non-traditional gender roles ?

Beliefs about which behaviors and responsibilities should typical be assumed by women and men are central in shaping gender relations and gender equality in society. The belief that women should be responsible for domestic work, while men should provide economically for the family gives rise to an uneven opportunity structure, situating women in a disadvantaged position compared to men. In order to achieve gender equality traditional gender role attitudes need to liberalize. This thesis examines who supports non-traditional gender roles in Sweden. Data representative of the Swedish population between the ages of 18-79 were used to explore the relationship between social context and individual self-interest and gender role attitudes. The results showed that women are more likely to be positive towards non-traditional gender roles if they are situated in highly educated social contexts. Conversely, men were found to be more likely to be positive if situated in gender equal contexts. This indicates that men’s beliefs regarding what is appropriate for women might be countered by women in gender equal contexts, while women may find confirmation regarding their nontraditional gender role attitude in other equally liberal women.
Dynamic Routing Mechanism in Network Simulation Based on Topology Perception Time Series

A fundamental requirement for any routing mechanism in network simulation is to truly reflect the forwarding process of packet from source to destination in the simulated topology. In current network simulators, all the nodes know the information instantaneously when the topology changed, which is obviously unrealistic, serious time distortion problem existed. Analyzed the static neighbor index vector mechanism, an abstract model of dynamic routing was presented, and an approach was proposed to compute the time needed for each node to know the topology changes. Dynamic routing lookup algorithm was designed, which maintained static routing table and a message queue of topology changes, and lookup routing states according to the perception time of topology changes, reduced the time consumption during route calculation. Experimental results show that our approach can improve the realism of dynamic routing in network simulation, and with high simulation efficiency.
Computational Intelligence in Games : The General Video Game AI Competition

A growing section of Artificial Intelligence is Computational Intelligence in Games. Artificial Intelligence methods are applied to computer games in several different ways. In this paper we deal with the General Video Game Playing of computer games where we cannot be sure how the agent is able to score or to win the game at all. Three different approaches that belong to the research areas Heuristic, Reinforcement Learning and Nature Inspired are being considered. A General Video Game Language environment is used to implement our controllers and to simulate a search of possible next game states. The theories behind the different approaches and the modifications to fit to our problem are described. Finally we evaluate the algorithms by using 20 general video games as a test set and compare the average and standard deviation of the winning rate, score and elapsed time.
Chapter 2 New Integrated Information Systems and Management Control Change in Small and Medium Enterprises

This research attempts to explore the process of change and to examine in more depth the nature of the changes in management control which accompany the adoption of the new information technologies within small and medium enterprises. In particular, recognizing that management control change is a continuous organizational process (rather than an outcome), the trajectory of which is shaped by an incessant inter-play of several influences, this research intends to explore the way in which the implementation of a new integrated information system contributes to this process. To address this issue, the current research combines theoretical and empirical insights. After having reviewed the literature on the main topics and produced a theoretical understanding to illuminate the nature of the aforementioned changes, the research relies upon an illustrative case study concerning a medium-size cooperative society based in Italy. Recognising the complexity of organizational life, the field study does not aspire to isolate and define how and by how much ICT has been a driver of the management control change, but rather to explore the whole process of change in order to appreciate the diversity of interrelated influences which have shaped its trajectory and how these influences interacted with each-other. Among this inter-play of influences, the study aims then to investigate the particular role played by the two-way relationship between ICT and management control. The implementation of the new integrated information system has opened up several opportunities for the business management and in particular for the management control. However, so far, only part of these opportunities have been exploited. Furthermore, while it could be acknowledged that the new system facilitated the changes in management control both in its material and immaterial dimensions, it could not be concluded that they were the result of the implementation of the new system. Many other factors have interacted within the process of management control change. For example, of paramount importance has been the controller’s determination to enact the change. The case study analyzes M.P. Maraghini (B) Department of Business and Social Studies, University of Siena, Piazza S. Francesco, 7, 53100 Siena, Italy e-mail: maraghini@unisi.it 13 P. Taticchi (ed.), Business Performance Measurement and Management, DOI 10.1007/978-3-642-04800-5_2, C © Springer-Verlag Berlin Heidelberg 2010
EVALUATION OF COMMON STOCK IN RISKY CONDITIONS USING THE COMPARISON OF ARBITRAGE AND MONTE CARLO METHODS IN COMPANIES LISTED ON TEHRAN STOCK EXCHANGE

This study aims at investigating the common stock valuation in risky conditions by comparison of Arbitrage and Monte Carlo methods in companies listed on Tehran Stock Exchange. The time domain of research is from 2007 to 2013 (7 years) and its spatial domain of research refers to the companies listed on Tehran Stock Exchange. According to the research observations, the data of 180 listed companies is collected as the statistical sample during 7 years (2007-2013) as the research period. This study investigates the causal relationship between the price indices of crude oil, currency, gold, etc, using Markov switching models (Monte Carlo) and taking into account different variables in estimation by nonlinear Markov method under the risky conditions, and also studies the common stock value of Tehran Stock Exchange under the risky conditions during the target period. The results of model estimation indicate that the effect of all variables are significant and except for the inflation risk, currency and oil price volatility, other variables have significant and positive effects on stock price valuation and they are finally applicable considering the limits of arbitrage pricing theory on the unconstrained linear models. It seems that the arbitrage pricing model adequately explains the return of securities traded on Tehran Stock Exchange. Furthermore, the computational t statistics and the values of confidence level of 95% are statistically significant for studied variables such as the political risk, the whole country risk, law stability (as the institutional variables), the unexpected exchange rate, inflation, oil price, indices of financial leverage and firm size. Therefore, among eight studied economic variables, all factors play the roles in stock pricing. Among the significant variables, only the difference in interest rates has a positive risk premium and other variables have negative risk premiums. Finally, after eliminating the insignificant variables and using the results of unconstrained model, the risk premiums are again estimated by seemingly repeated and unrelated non-linear regression method.
Using a tri-axial accelerometer to quantify the locomotive Patterns before and after 60 days of bed-rest

The effects that microgravity induces to the human body are well known. Unfortunately, how to completely counter them is not yet clear. One method among others is very effective to mimic and simulate these effects to study them on Earth – the bed-rest study. To date, the best countermeasure known to preserve the physiological functions during a spaceflight or during bedrest is physical exercise. This thesis aims to quantify, using a tri-axial accelerometer, the changes in locomotive patterns and levels of physical activity (PA) before and after a 60-day bed-rest and the effectiveness of a new training device – Sledge Jump System (SJS) – as countermeasure of bed-rest and, eventually, spaceflights. 23 male subjects, divided in two groups underwent a 60-day bed-rest period. They wore a tri-axial accelerometer on the waist for two consecutive weeks before and after this period. The training group (n=12) trained daily in the SJS, while the control group (n=11) did not perform any kind of activity during the whole period. In the two weeks before and after the bed-rest period, measurements of gait and of PA were taken. To measure the gait parameters (walking, slow run, moderate run, climb up stairs and climb down stairs), one gait course was done before bed-rest to set baseline values and three more gait courses were done after the bed-rest period, one day (R+1), seven days (R+7) after and fourteen days (R+14) after re-ambulation to see the differences in gait parameters and recovery over time. For the PA levels, integrals over the two weeks before and after bed-rest period were calculated from the signal of the accelerometer. Different levels of PA were set based on baseline values. The linear mixed-effects models showed a statistical difference (p<0.05) for the relative values in the time to complete the task, the number of steps, the average speed for the slow run in the control group during the R+1 measurements, and a decrease in the stride length for both groups. A significant increase (p<0.05) in time to complete the task, number of steps as well as a decrease in the average speed have been reported for both groups during R+1 in the moderate run. No significant changes (p<0.05) were found in the PA levels. Results support other findings suggesting the benefits of physical exercise during immobilization, proving a partial effectiveness of the SJS for preventing the effects of bed-rest period.
Attribute Based Object Recognition by Human Language (Extended Abstract)

Over the last years, the robotics community has made substantial progress in detection and 3D pose estimation of known and unknown objects. However, the question of how to identify objects based on language descriptions has not been investigated in detail. While the computer vision community recently started to investigate the use of attributes for object recognition, these approaches do not consider the task setting typically observed in robotics, where a combination of colors, shapes, materials might be used in referral language to identify specic objects in a scene. In this paper, we introduce an approach for identifying objects based on natural language containing the attributes of the object. Our experiments show that by using the attributes mentioned in the referral language it is indeed possible to build a learning object detection system that does not require any training images of the target classes.
Fabrication of Microfluidic System for Micro Direct Alcohol Fuel Cell : Deep X-Ray Lithography of Three-dimensional Microstructures on a Stainless Steel

Micro direct alcohol fuel cell (μDAFC), a type of micro fuel cell, is an alternative energy resource which generates electricity without fuel combusting. The micro fuel cell normally contains three parts of microchannels, electrodes, and proton exchange membrane (PEM). By using a stainless steel as the substrate, this work is introducing deep X-ray lithography (DXL) for the fabrication of the microfluidic system. DXL, the most important processing step of the LIGA technique, allows on-demand manufacturing of microstructures. Based on a radiation sensitive polymer material, DXL processes provide a 3D master microstructure on a stainless steel substrate, which in general is reproduced in subsequent nickel electroplating and molding processes. This report gives a detailed description of DXL using a 25 μm-thick silver X-ray mask and presents a nickel electroplating to provide a nickel molding on a stainless steel substrate.
Topology Proceedings

We investigate properties of the Bohr compactification, bG, and the Bohr topology, G, for discrete nonabelian groups G. These properties depend on the algebraic structure of G, and can be analyzed with the aid of the compact space of unitary representations of G. Using our analysis, we show that a compact Hausdorff space is embeddable in some G iff it is Eberlein compact.
EBM FABRICATION AND CHARACTERIZATION OF HIGH PURITY NIOBIUM FOR SUPERCONDUCTOR APPLICATIONS

Superconducting radio frequency (SRF) cavities are used to accelerate charged particles to near the speed of light for elemental studies. Currently, SRF cavities are typically fabricated using different forming processes including deep-drawing and spinning to mechanically shape niobium into the desired geometry. This research presents the development of processing parameters for high purity niobium (powder size range of 25-125μm) using electron beam melting additive manufacturing technology. Fabrication parameters were improved to obtain dense parts in a time-efficient manner. A specific procedure was used to maintain powder purity, and powder chemistry was monitored at different stages of fabrication. In addition, a series of experiments were performed to obtain 99.9% dense parts and a maximum building height of ~85mm. Introduction The Electron Beam Melting (EBM) process is an additive manufacturing (AM) technology used for the rapid manufacturing of near net-shape metal components. There are many advantages of this process over other AM techniques. For example, since the process is performed in vacuum, it allows for the fabrication of high melting point metals and reactive materials such as nickel, cobalt and titanium alloys while eliminating the negative effects of impurities or oxidation. Also, EBM is considered a hot process because the electron beam is utilized prior to fabrication of each layer to preheat the powder metal bed resulting in the fabrication of parts that have minimal to no residual stresses [1]. The EBM process has been used mostly for medical and aerospace applications, although continued research is widening the spectrum of materials that can be processed as well as their applications. The EBM process has been commercially available since 2000 by the Swedish company Arcam (Arcam AB, Sweden). This process is catalogued as a powder bed fusion AM technology and it uses a stream of electrons to sinter and melt selectively in a layer-by-layer fashion. Metal powder particles (30μm – 120μm in diameter) are used as the precursor material for fabrication. In the process, layers of metal powder with a thickness in the range from 50-120 μm are evenly spread by a raking mechanism. Then the electron beam is used to preheat the powder bed followed by the selective melting in specific regions through the bed using higher energy on the beam. The electron beam is accurately and rapidly steered to scan specific geometries with the use of electromagnetic lenses or coils positioned in the gun column. After processing of one layer, the build table is lowered in the Z direction by a thickness of one layer and the process repeats until the part is finished. The process is carried out in vacuum levels that are maintained at ~10 Torr or below. The main components in the Arcam EBM process (Figure 1) are the electron gun (1), electromagnetic coils (2), powder hoppers or containers from which powder is gravity fed (3), the raking arm (4) and the build stage (6). Normally, the process uses a build