Miracle-dz/UniFAR-FTUs huggingface dataset:
Web Services Interfaces Assessment through Semantic Similarity of Terms

This work presents an improvement on a novel Selection Method to develop applications in the context of the Service-Oriented Computing paradigm. We have defined an Interface Compatibility procedure to assess Web Services by exploring the available information from WSDL documents. Such information involves data types from return, parameters and exceptions, and identifiers from parameters and operation names. The lexical database WordNet was originally used as a semantic basis to assess terms from identifiers. In this paper we use the DISCO database as an alternative, to evaluate the independence of the approach w.r. t. the semantic basis. We made a comparative analysis through different experiments with a data-set of 465 real-life Web Services and measured the results using metrics from the Information Retrieval field.
Stochastic Bounding Models for Performance Analysis of Clouds

We propose to evaluate the performance of a cloud node (data center) using hysteresis queueing systems and stochastic bound methods. We represent the dynamic behavior of the cloud node by a hysteresis queueing system with forward and backward threshold vectors. The client requests (or jobs) are represented by bulk arrivals entering the buffer, and executed by Virtual Machines (VMs) which are activated and deactivated according to the occupation of the queue, and the threshold sequences. As the system is quite difficult to analyze, we propose to define different bounding systems "less complex" and easier to study. Two approaches are used, one by aggregating the probability distribution of the batch arrivals and another by taking models with the same sequences of forward and backward thresholds. We show the relevance of the proposed bounding systems by presenting some numerical results for the performance measures of a data center.
Hidden dynamic learning for long-interval consecutive missing values reconstruction in EEG time series

Accurate and reliable estimation of multiple coevolving time series over random long-interval consecutive missing values have become the new frontier of the reconstruction discipline. If the problem of missing values cannot be solved, a significant number of important data sets will be improperly analyzed or discarded as they can distort and repudiate the usage of several methodologies. Conventional interpolation approaches are commonly used to estimate missing values in incomplete time series patterns. However, these methods are ignoring the correlations among multiple dimensions and becoming invalid for long period of missing values. This research therefore proposes a new approach to automatically recover missing values based on applying Linear Dynamical System. The proposed approach captures correlations between multiple coevolving time sequences via identifying a few hidden variables and mining their dynamics to impute missing values. The proposed methodology recovers random consecutive observation of the missing values with low reconstruction errors. Moreover, the proposed method offers a robust and scalable approach with linear computation time over the size of sequences. The proposed method's applicability is demonstrated on real world electroencephalogram (EEG) signals where incomplete data frequently occur due to corrupted transmission of equipment electrodes.
Genomic Identification and Expression Analysis of the Phosphate Transporter Gene Family in Poplar

Inorganic phosphate is one of key macronutrients essential for plant growth. The acquisition and distribution of phosphate are mediated by phosphate transporters functioning in various physiological and biochemical processes. In the present study, we comprehensively evaluated the phosphate transporter (PHT) gene family in the latest release of the Populus trichocarpa genome (version 3.0; Phytozome 11.0) and a total of 42 PHT genes were identified which formed five clusters: PHT1, PHT2, PHT3, PHT4, and PHO. Among the 42 PHT genes, 41 were localized to 15 Populus chromosomes. Analysis of these genes led to identification of 5–14 transmembrane segments, most of which were conserved within the same cluster. We identified 234 putative cis elements in the 2-kb upstream regions of the 42 PHT genes, many of which are related to development, stress, or hormone. Tissue-specific expression analysis of the 42 PtPHT genes revealed that 25 were highly expressed in the roots of P. tremula, suggesting that most of them might be involved in Pi uptake. Some PtPHT genes were highly expressed in more than six of the twelve investigated tissues of P. tremula, while the expression of a few of them was very low in all investigated tissues. In addition, the expression of the PtPHT genes was verified by quantitative real-time PCR in four tissues of P. simonii. Transcripts of 7 PtPHT genes were detected in all four tested tissues of P. simonii. Most PtPHT genes were expressed in the roots of P. simonii at high levels. Further, PtPHT1.2 and PtPHO9 expression was increased under drought conditions, irrespective of the phosphate levels. In particular, PtPHT1.2 expression was significantly induced by approximately 90-fold. However, the transcriptional changes of some PtPHT genes under drought stress were highly dependent on the phosphate levels. These results will aid in elucidation of the functions of PtPHT in the growth, development, and stress response of the poplar plant.
On reversibility of random binning based data-hiding techniques: security perspectives

Reversibility of data-hiding refers to the reconstruction of original host data at the decoder from the stego data. Previous works on the subject are concentrated on the reversibility of data-hiding techniques from multimedia perspectives. However, from the security point of view, that at our knowledge was not exploited in existing studies, reversibility could be used by an attacker to remove the complete trace of watermark data from the stego data in the sense of designing the worst case attack. Thus, the aim of this paper is to analyze the reversibility of data-hiding techniques based on random binning from the security perspectives.
A Nonparametric Model of Term Structure Dynamics and the Market Price of Interest Rate Risk

This article presents a technique for nonparametrically estimating continuous-time diffusion processes that are observed at discrete intervals. The authors illustrate the methodology by using daily three and six month Treasury bill data, from January 1965 to July 1995, to estimate the drift and diffusion of the short rate, and the market price of interest rate risk. While the estimated diffusion is similar to that estimated by K. C. Chan, et al.(1992), there is evidence of substantial nonlinearity in the drift. This is close to zero for low and medium interest rates but mean reversion increases sharply at higher interest rates. Copyright 1997 by American Finance Association.
Strategies for the Run-Time Testing of Third Party Web Services

Because of the dynamic way in which service-oriented architectures are configured, the correct interaction of service users and service providers can only be fully tested at run-time. However, the run-time testing of web services is complicated by the fact that they may be arbitrarily shared and may have lifetimes which are independent of the applications that use them. In this paper we investigate this situation by first identifying the different types of tests that can be applied to services at run-time and the different types of web services that can be used in service-oriented systems. We then discuss how these can be combined - identifying the combinations of tests and web services that make sense and those that do not. The resulting analysis identifies six distinct forms of run-time testing strategy of practical value in service-oriented systems.
The K Computer and its Application

The K computer is a distributed memory super-computer system with 82,944 compute nodes and 5,184 I/O nodes that was jointly developed by RIKEN and Fujitsu as a Japanese national project. Its development began in 2006 and was completed in June, 2012. By achieving the LINPACK performance of 10.51 peta-FLOPS, the K computer ranked first for two consecutive TOP500 list in June and November 2011. During its adjustment, part of the K computer was served, gradually increasing computing resources, to experts in computational science as a trial and was used for performance optimization of users' application codes.
Endothelial cell vehicles for delivery of cytotoxic genes as a gene therapy approach for carcinoma of the ovary.

Human umbilical vein endothelial cells (HUVECs) were evaluated for utility as a vector to achieve a bystander effect and killing of ovarian carcinoma cell lines. After demonstrating that HUVECs could be transduced with the reporter gene LacZ encoded by an adenoviral vector, appropriate cell killing of the AdCMVHSV-TK-transduced HUVECs was exhibited after treatment with 20 microM ganciclovir. Mixing experiments were then performed to determine whether the transduced HUVECs would demonstrate a bystander effect with the ovarian cancer cell lines. When 50% AdCMVHSV-TK-transduced HUVECs were mixed with untransduced ovarian cancer cells, > 70% of all cells were killed. Finally, s.c. and i.p. injections of herpes simplex-thymidine kinase-expressing HUVECs and SKOV3ip1 tumor cells were performed to evaluate the effects of HUVECs in in vivo models. These studies showed a decrease in tumor growth s.c. as well as a statistically significant survival prolongation (P < 0.05) in the i.p. model. These findings suggest that endothelial cells may be used as a vehicle for the delivery of cytotoxicity (bystander effect) in molecular chemotherapy.
Cell cycle-dependent changes in the dynamics of MAP 2 and MAP 4 in cultured cells

To examine the behavior of microtubule-associated proteins (MAPs) in living cells, MAP 4 and MAP 2 have been derivatized with 6- iodoacetamido-fluorescein, and the distribution of microinjected MAP has been analyzed using a low light level video system and fluorescence redistribution after photobleaching. Within 1 min following microinjection of fluoresceinated MAP 4 or MAP 2, fluorescent microtubule arrays were visible in interphase or mitotic PtK1 cells. After cold treatment of fluorescent MAP 2-containing cells (3 h, 4 degrees C), microtubule fluorescence disappeared, and the only fluorescence above background was located at the centrosomes; microtubule patterns returned upon warming. Loss of microtubule immunofluorescence after nocodozole treatment was similar in MAP- injected and control cells, suggesting that injected fluorescein- labeled MAP 2 did not stabilize microtubules. The dynamics of the MAPs were examined further by FRAP. FRAP analysis of interphase cells demonstrated that MAP 2 redistributed with half-times slightly longer (60 +/- 25 s) than those for MAP 4 (44 +/- 20 s), but both types of MAPs bound to microtubules in vivo exchanged with soluble MAPs at rates exceeding the rate of tubulin turnover. These data imply that microtubules in interphase cells are assembled with constantly exchanging populations of MAP. Metaphase cells at 37 degrees C or 26 degrees C showed similar mean redistribution half-times for both MAP 2 and MAP 4; these were 3-4 fold faster than the interphase rates (MAP 2, t1/2 = 14 +/- 6 s; MAP 4, t1/2 = 17 +/- 5 s). The extent of recovery of spindle fluorescence in MAP-injected cells was to 84-94% at either 26 or 37 degrees C. Although most metaphase tubulin, like the MAPs, turns over rapidly and completely under physiologic conditions, published work shows either reduced rates or extents of turnover at 26 degrees C, suggesting that the fast mitotic MAP exchange is not simply because of fast tubulin turnover. Exchange of MAP 4 bound to telophase midbodies occurred with dynamics comparable to those seen in metaphase spindles (t1/2 = approximately 27 s) whereas midbody tubulin exchange was slow (greater than 300 s). These data demonstrate that the rate of MAP exchange on microtubules is a function of time in the cell cycle.
Architecture of Ring-Based Redundant TSV for Clustered Faults

Three-dimensional integrated circuits (3-D-ICs) that employ the through-silicon vias (TSVs) vertically stacking multiple dies provide many benefits, such as high density, high bandwidth, and low power. However, the fabrication and bonding of TSVs may fail because of many factors, such as the winding level of the thinned wafers, the surface roughness and cleanness of silicon dies, and bonding technology. To improve the yield of 3-D-ICs, many redundant TSV (RTSV) architectures were proposed to repair 3-D-ICs with faulty TSVs. These methods reroute the signals of faulty TSVs to other regular TSV or RTSV. In practice, the faulty TSVs may cluster because of imperfect bonding technology. To resolve the problem of clustered TSV faults, router-based RTSV architecture was the first proposed to pay attention to it. Their method enables faulty TSVs to be repaired by RTSVs that are farther apart. However, to repair some rarely occurring defective patterns, their method requires too much area. In this paper, we propose a ring-based RTSV architecture to utilize the area more efficiently as well as to maintain high yield. Assume that the size of the TSVs is 1 μm. Simulation results show that for a given number of TSVs (8 × 8) and TSV failure rate (1%), our design achieves 58.9% area reduction of MUXes per signal, 54.6% total area reduction per signal, and 50.54% total wire length reduction while the yield of our ring-based RTSV architectures can still maintain 98.47%-99% as compared with the router-based design. Furthermore, the shifting length of our ring-based RTSV architecture is at most 1, which guarantees at most one MUX-delay timing overhead of each signal.
The Role of the Parkinson's Disease Gene PARK9 in Essential Cellular Pathways and the Manganese Homeostasis Network in Yeast

YPK9 (Yeast PARK9; also known as YOR291W) is a non-essential yeast gene predicted by sequence to encode a transmembrane P-type transport ATPase. However, its substrate specificity is unknown. Mutations in the human homolog of YPK9, ATP13A2/PARK9, have been linked to genetic forms of early onset parkinsonism. We previously described a strong genetic interaction between Ypk9 and another Parkinson's disease (PD) protein α-synuclein in multiple model systems, and a role for Ypk9 in manganese detoxification in yeast. In humans, environmental exposure to toxic levels of manganese causes a syndrome similar to PD and is thus an environmental risk factor for the disease. How manganese contributes to neurodegeneration is poorly understood. Here we describe multiple genome-wide screens in yeast aimed at defining the cellular function of Ypk9 and the mechanisms by which it protects cells from manganese toxicity. In physiological conditions, we found that Ypk9 genetically interacts with essential genes involved in cellular trafficking and the cell cycle. Deletion of Ypk9 sensitizes yeast cells to exposure to excess manganese. Using a library of non-essential gene deletions, we screened for additional genes involved in tolerance to excess manganese exposure, discovering several novel pathways involved in manganese homeostasis. We defined the dependence of the deletion strain phenotypes in the presence of manganese on Ypk9, and found that Ypk9 deletion modifies the manganese tolerance of only a subset of strains. These results confirm a role for Ypk9 in manganese homeostasis and illuminates cellular pathways and biological processes in which Ypk9 likely functions.
Human-information interaction: An emerging focus for educational cognitive tools

Educational cognitive tools are interactive, computer-based tools that augment one’s mind to facilitate learning. Examples of these include interactive mathematical software, interactive physics simulations, and interactive biology visualizations. While using these tools a learner’s mind becomes coupled with the tool, forming a cognitive system, such that cognitive processes are distributed across this system. The coupling of this system is strong, as the cognitive tool actively contributes to information-processing tasks by serving a representational function. By representing information at their interface, cognitive tools provide learners with access to information. Additionally, as cognitive tools are interactive, learners can perform actions upon the represented information. These actions serve an epistemic function and can be considered part of thought itself. Epistemic actions are basic actions that a learner may perform on any interactive cognitive tool and thus are technology-independent. Therefore, there is a need for designers and educators to focus on the ways in which learners use, interact with, and think with information, independent of the technology that is mediating the interaction. This chapter examines the dynamics of human-information interaction as an emerging area of interest, the implications for educational cognitive tools, and some of its emerging research efforts.
Adaptive Real-Time Computation Coordination for the Web Services Based Computing Architecture

Computation coordination is an important decision making activity in the real-time distributed computing in order to achieve the optimal performance. The computing power sharing (CPS) is a lightweight web services based architecture, and suitable for enterprise computing works which are able to run in batch format within a trusty network. The architecture relies on business process execution language (BPEL) which provides a visualized development environment and workflow control management. An adaptive real-time coordination module based on fuzzy group decision making policy that implements fuzzy resolution process facilitates the CPS architecture to provide the real-time computation coordination with quality of service. In this paper, the collaborated computing system has been applied to analyze the robustness of digital watermark by filter bank selection. As the result of this study, the performance can be improved in the aspect of speedup, stability and process time.
Nogood Learning for Constraint Satisfaction

The basic algorithm is derived from the weak-commitment algorithm (WC) of Yokoo [17], which has been shown to outperform breakout and min-conflict backtracking on certain classes of problems. Weakcommitment search is that part of WC which results from removing the learning mechanism; this will be called WC-NL. WC-NL is coupled with learning-by-merging to form the new algorithm WC-NG. Experiments on a range of problems yield two indicative results: (i) WC-NL and WC-NG always outperform WC, and (ii) for harder problems WC-NG always outperforms WC-NL. It should be noted that for easier problems learning-by-merging never significantly degrades the performance of WC-NL.
Shape and appearance modeling with feature distributions for image segmentation

This paper presents a new approach to prior shape and appearance modeling for use in curve evolution-based segmentation. The new method is based on the unified use of feature distributions and allows the incorporation of coupled prior information about shape and appearance into the curve evolution segmentation process. Examples show the accurate placement of boundaries in challenging situations; for example, in cases where an intensity boundary does not exist
Monte Carlo Simulation of Electron Beam in 3-D Water Phantom T

Recently, Monte Carlo (MC) calculation method has reported as the most accurate method of predicting dose distributions in radiotherapy. In this present work investigation on the accuracy of MC (EGSnrc) in calculating electron beam central axis dose was conducted. Calculation of central axis depth dose distributions for 9 MeV electron beams from medical linear accelerator (Siemens Primus) was performed with BEAMnrc and DOSXYZnrc source code on personal desktop. Both source codes were included in EGSnrc package. Results were compared with an ion chamber measurement. On central axis dose MC data shows a good agreement with ion chamber measurement which is less than 2% percentage different. In this context the model is accurate and potentially to achieve the dose delivery as recommended by ICRU report. Keywords—Monte Carlo, Simulation, Electron Beam Therapy, Linear accelerator, Depth Dose
A low power high reliability dual-path noise-cancelling LNA for WSN applications

This paper presents a dual-path noise-cancelling (DPNC) LNA, which is designed for low power wireless sensor network (WSN) applications and operates at 2.4GHz band. The proposed DPNC LNA can effectively cancel internal circuit noise while consuming less power by gm-boosted technique. The measured voltage gain and NF are 22dB and 3.7dB, respectively. IIP3 is +8dBm and consumes 1.2mW with a 1.0V single supply. Fabricating in the 0. 18µm standard CMOS process, the LNA occupies an active area of 0.3mm2.
An Experiment on Length Perception with a Virtual Rolling Stone

When an object rolls or slides inside a hand-held tube, a variety of cues are normally available to estimate its location inside the cavity. These cues are related to the dynamics of an object subjected to the laws of physics such as gravity and friction. This may be viewed as a form of sensorymotor coupling which does not involve vision but which links motor output to acoustic and tactile inputs. The theory of sensorymotor contingency posits that humans exploit invariants about the physics of their environment and about their own sensorymotor apparatus to develop the perception of the outside world. We report on the design and the results of an experiment where subjects held an apparatus that simulated the physics of an object rolling or sliding inside a tubular cavity. The apparatus synthesized simple haptic cues resulting from rolling noise or impact on internal walls. Given these cues, subjects were asked to discriminate between the lengths of different virtual tubes. The subjects were not trained at the task and had to make judgments from a single gesture. The results support the idea that the subjects mastered invariants related to the dynamics of objects under the influence of gravity that they were able to use them to perceive the length of invisible cavities.
EXTRACTION OF LINES FROM LASER POINT CLOUDS

: Three dimensional building models have become important during the past for various applications like urban planning, enhanced navigation or visualization of touristy or historic objects. 3D models can increase the understanding and explanation of complex urban scenes and support decision processes. A 3D model of the urban environment gives the possibility for simulation and rehearsal, to "fly through" the local urban terrain on different paths, and to visualize the scene from different viewpoints. The automatic generation of 3D models using Laser height data is one challenge for actual research. In many proposals for 3D model generation the process is starting by extraction of the border lines of man made objects. In our paper we are presenting an automatic generation method for lines based on the analysis of the 3D point clouds in the Laser height data. For each 3D point additional features considering the neighborhood are calculated. Invariance with respect to position, scale and rotation is achieved. Investigations concerning the required point density to get reliable results are accomplished. Comparing the new features with analytical results of typical point configurations provide discriminating features to select points which may belong to a line. Assembling these points to lines the borders of the objects were achieved. First results are presented. Possibilities for the enhancement of the calculation of the covariance matrix by including the intensity of the Laser signal and a refined consideration of the neighborhood are discussed.