Miracle-dz/UniFAR-FTUs huggingface dataset:
Combustion Synthesis and Photoluminescence Properties of Red-Emitting CaAlSiN3:Eu2+ Phosphor for White-LEDs

A combustion synthesis method has been developed for synthesis of Eu2+ doped CaAlSiN3 phosphor and its photoluminescence properties were investigated. Ca, Al, Si, and Eu2O3 powders were used as the Ca, Al, Si and Eu sources. The addition of NaN3, NH4Cl and Si3N4 powders was found to increase significantly the product yield. These powders were mixed and pressed into a compact, which was then wrapped up with an igniting agent (i.e., Mg+Fe3O4). The compact was ignited by electrical heating under a N2 pressure of ≤1.0 MPa. Effects of these experimental parameters on the product yield were investigated and a reaction mechanism was proposed. The synthesized CaAlSiN3:Eu2+ phosphor absorbs light in the region of 200–600 nm and shows a broad band emission in the region of 500–800 nm due to the 4f65d1 → 4f7 transition of Eu2+. The sample doped with Eu2+ at the optimized molar ratio of 0.04 is efficiently excited by the blue light (460 nm) and generates emission peaking at ~650 nm with peak emission intensity ~106% of a commercially available phosphor, YAG:Ce3+(P46-Y3). The internal quantum efficiency of the synthesized phosphor was measured to be 71%, compared to 69% of the YAG:Ce3+ (P46-Y3).
Building an academic social network: for Bologna mobility

An Academic Social Network (ASN) will help students to share commons academic interests, preferences and profiles as well as their historical studies. This paper presents a vision in order to build an ASN focusing the Bologna Declaration mobility issues. The first step is the description of the conceptual support, centered in the ontology for knowledge sharing and reuse. To achieve this, it is proposed, as a solution, the FAOBP ontology to represent the student profile in the social network. This ontology obtained by the merge of AOBP and FOAF ontologies. Next step is the adoption of strategies to make available, in the network, knowledge about mobility issues. For this, it is proposed, as future work, the knowledge discovering and simulation approaches to cover student's mobility scenarios.
Temporal Decision-Making: Insights from Cognitive Neuroscience

Decisions frequently have consequences that play out over time and these temporal factors can exert strong influences on behavior. For example, decision-makers exhibit delay discounting, behaving as though immediately consumable goods are more valuable than those available only after some delay. With the use of functional magnetic resonance imaging, we are now beginning to characterize the physiological bases of such behavior in humans and to link work on this topic from neuroscience, psychology, and economics. Here we review recent neurocognitive investigations of temporal decision-making and outline the theoretical picture that is beginning to take shape. Taken as a whole, this body of work illustrates the progress made in understanding temporal choice behavior. However, we also note several questions that remain unresolved and areas where future work is needed.
INTERNATIONAL JOURNA Recovering Human Motion Tracking System using Gaussian Process

Estimation of motions and tracking the motions with the help of a motion tracking system has been considered major dilemma due to the availability of various frameworks. In the process of tracking, we need to form a mapping from observation space to the state space. We have reviewed Gaussian Process with both discriminative and generative frameworks for the purpose of motion estimation. Both the input and output are shown at the same place. But there are certain limitations due to the dilemma of multimodality. To overcome these limitations we have used a mix of Gaussian process experts. In this paper, we have combined acts as a fusion of experts. We have used Gaussian process, dynamic model for learning the movements in latent state space. We had not only estimated human motions but also tracked motions with respe area of study discussed in this paper would be useful to trace out physical and behavioral patterns of living and non living object and this would help in studying the forecast patterns such as natural blooming, industry tool des earthquakes forecast , monitoring and in control applications along with their impact so as to offer corrective measures before hand.
Investigation of spectral interferences on the accuracy of broadband CW-NIRS tissue SO2 determination

An accurate SO2 prediction method for using broadband continuous-wave diffuse reflectance near infrared (NIR) spectroscopy is proposed. The method fitted the NIR spectra to a Taylor expansion attenuation model, and used the simulated annealing method to initialize the nonlinear least squares fit. This paper investigated the effect of potential spectral interferences that are likely to be encountered in clinical use, on SO2 prediction accuracy. The factors include the concentration of hemoglobin in blood, the volume of blood and volume of water in the tissue under the sensor, reduced scattering coefficient, µs', of the muscle, fat thickness and the source-detector spacing. The SO2 prediction method was evaluated on simulated muscle spectra as well as on dual-dye phantoms which simulate the absorbance of oxygenated and deoxygenated hemoglobin.
Making Experiments Dependable | 1. Science and Experimentation

A bstract. In computer science and computer security we o en do experiments to establish or compare the performance of one approach vs. another to some problem, such as intrusion detection or biometric authentication. An experiment is a test or an assay for determining the characteristics of the item under study, and hence experimentation involves measurements. Measurements are susceptible to various kinds of error, any one of which could make an experimental outcome invalid and untrustworthy or undependable. is paper focuses on one kind of methodological er-ror—confounding—that can render experimental outcomes inconclusive, but o en without the investigator knowing it. Hence, valuable time and other resources can be expended for naught. We show examples from the domain of keystroke biometrics, explaining several dii erent examples of methodological error, their consequences , and how to avoid them. You wouldn't be surprised if, in a chemistry experiment , you were told that using dirty test tubes and beakers (perhaps contaminated with chemicals from a past procedure) could ruin your experiment, making your results invalid and untrustworthy. While we don't use test tubes in cyber security, the same admonition applies: keep your experiments clean, or the contamination will render them useless. Keeping your glassware clean is part of the chem-lab methodology that helps make experimental measurements dependable, which is to say that the measurements have minimal error and no confounding variables. In cyber security we also need measurements that are dependable and error-free; undependable measurements make for undependable values and analyses, and for invalid conclusions. A rigorous experimental methodology will help ensure that measurements are valid, leading to outcomes in which we can have conn dence. A particularly insidious form of error is the con-found—when the value of one variable or experimental phenomenon is confounded or inn uenced by the value of another. An example, as above, would be measuring the pH of a liquid placed in contaminated glassware where the inn uence of the contaminant on pH varied with the temperature of the liquid being measured. is is a confound, and to make things worse, the experimenter would likely be unaware of its presence or inn uence. e resulting pH values might be attributed to the liquid, to the temperature, or to the contaminant; they cannot be distinguished (without further experimentation). Similar measurement error can creep into cyber security experiments, making their measures similarly invalid. is article describes some of the issues …
Ireland's Innovation Performance: 1991 to 2005

It is widely believed that survey-based confidence indicators provide a reasonably accurate picture of economic conditions. This paper examines whether data from the business and consumer surveys conducted for the European Commission might be useful for short-term macroeconomic forecasting. First, the internal consistency of the survey data is tested, to ascertain the extent to which reported outcomes from one month correspond to expectations data from previous months. The forecasting potential is then explored by comparing the survey data to their official data equivalents. The results from this analysis are mixed and suggest that the potential of the business survey data is limited. From these surveys only four variables produced findings that merit further investigation. The results from the consumer survey were more positive, and suggest that a number of statistical relationships exist between the survey series and the official data.
Optimal Forward-Looking Policy Rules in the Quarterly Projection Model of the Czech National Bank

This paper analyses the performance of the inflation forecast-based (IFB) monetary policy rules in the quarterly projection model of the Czech National Bank. The paper begins by reviewing the model and its parametrization, including the variance-covariance matrix of disturbances employed in simulations. The main part of the paper presents the results of an extensive grid search over various targeting horizons and coefficient values for a simple IFB rule with optimized coefficients, and suggests three possibilities for improvement: a shorter targeting horizon, a higher relative weight placed on inflation gap stabilization, and a lower coefficient on partial interest rate adjustment. These results are supported by an analysis of the impact of individual shocks on the optimal coefficients of the IFB rule. The last section of the paper argues for inclusion of the real exchange rate stabilization objective in the policy makerA¢â‚¬â„¢s loss function and repeats the grid search for an optimal rule allowing for the real exchange rate feedback term. The previous results are not dramatically altered and we conclude that the stabilization properties of the extended rules are comparable with the those of the original optimized IFB rules.
Confrontation naming in Chinese patients with left, right or bilateral brain damage

Confrontation naming of 52 unilateral or bilateral brain-damaged Chinese patients were examined with a modified version of the Boston Naming Test (BNT). Chinese patients with left or right hemisphere lesions, contrary to studies on English speakers, demonstrated similar levels of naming impairments, supporting the notion that English and Chinese are mediated by different neuroprocessing systems. In addition, the psychometric properties of the BNT on Chinese population were examined. While the test demonstrated satisfactory internal consistency and discriminant validity, level of education was found to be a significant factor affecting participants' performance. A cut-off score of 24 in spontaneous naming yielded a sensitivity of 73.1% and specificity of 75.3% in differentiating normal from brain-damaged participants, suggesting that the modified BNT is applicable to the Chinese population. (JINS, 2004, 10, 46–53.)
Noise suppression in seismic data with sparse coding

Contents of this paper were reviewed by the Technical Committee of the 9 th International Congress of the Brazilian Geo-physical Society. Ideas and concepts of the text are the authors' responsibility and do not necessarily represent any position of the SBGf, its officers or members. Electronic reproduction or storage of any part of this paper for commercial purposes withou the written consent of the Brazilian Geophysical Society is prohibited.
An internal promoter underlies the difference in disease severity between N- and C-terminal truncation mutations of Titin in zebrafish

Truncating mutations in the giant sarcomeric protein Titin result in dilated cardiomyopathy and skeletal myopathy. The most severely affected dilated cardiomyopathy patients harbor Titin truncations in the C-terminal two-thirds of the protein, suggesting that mutation position might influence disease mechanism. Using CRISPR/Cas9 technology, we generated six zebrafish lines with Titin truncations in the N-terminal and C-terminal regions. Although all exons were constitutive, C-terminal mutations caused severe myopathy whereas N-terminal mutations demonstrated mild phenotypes. Surprisingly, neither mutation type acted as a dominant negative. Instead, we found a conserved internal promoter at the precise position where divergence in disease severity occurs, with the resulting protein product partially rescuing N-terminal truncations. In addition to its clinical implications, our work may shed light on a long-standing mystery regarding the architecture of the sarcomere. DOI: http://dx.doi. org/10.7554/eLife.09406. 001
MENTOR: A network performance recommendation tool

Abstract. The use of advanced applications has caused end-users to show a new interest in accessing network measurement and status data across multiple domains, in order to detect occasional network problems. Diversity on network technologies, technical solutions and network managers add to the complexity of providing such information, which, when available, includes technical details that are meaningful only to specialists. This paper presents MENTOR, a tool for traffic monitoring where applications’ information are used to provide network performance recommendations in high level language, helping users on network usage. 1. Introduction In recent years we have witnessed a rapid growth of audiovisual application running over the Internet, a cheap alternative of interactive voice and video communication that relies on the adoption of a new generation of powerful and interactive applications. These new kinds of applications require from administrators a quick network problem detection and performance analysis. However, the current monitoring approaches don’t meet these requirements since they concentrate on the administrators the task of interpreting each application performance problem related to the network. In order to overcome these limitations, the monitoring infrastructure should help the administrators diagnose network problems and advise users about network conditions. Current traffic monitoring solutions are far from being scalable and giving the right and meaningful network performance information to network applications and users. In fact, when end-users look for network performance, they are actually concerned about the performance of their applications. However, the monitoring visualization tools usually show performance data without considering any particular user and application characteristics. Network administrators need to count on tools that anticipate the user’s needs, presenting the network performance information in a more customized and productive way. Thus, a significant amount of work still has to be done for the measurement data and interpretation.
Organization and selection of reconfigurable models

This paper introduces the concept of reconfigurable simulation models and describes how these models can be used to support simulation-based design. As in object-oriented programming, a reconfigurable model consists of a separate interface and multiple implementations. An AND-OR tree represents which implementations can be bound to each interface. From the resulting model space, a designer can quickly select the simulation model that is most appropriate for the current design stage. We conclude the paper with an example that illustrates the XML-based implementation of reconfigurable models.
Post-processing operators for decision lists

This paper proposes three post-processing operators (rule cleaning, rule pruning and rule swapping) which combined together in different ways can help reduce the complexity of decision lists evolved by means of genetics-based machine learning. While the first two operators work on the independent rules to reduce the number of expressed attributes, the last one changes the order of the rules (based on the similarities between them) to identify and delete the unnecessary ones. These operators were tested using the BioHEL system over 35 different problems. Our results show that it is possible to reduce the number of specified attributes per rule and the number rules up to 30% in some problems, without producing significant changes in the test accuracy. Moreover, the approaches presented in this paper can be easily extended to other learning paradigms and representations.
Equity Interconnections in Major European Markets

This paper investigates equity interconnection by analyzing dynamic links and volatility spillover effects between selected stocks of high liquidity from the major regulated European equity markets. A bivariate GARCH-BEKK model is used to study this interaction. By applying the volatility transmission methodology to company level rather than stock indices, the paper deepens our understanding of integration dynamics. The results provide evidence of a high level of dependence between these stocks and, given their high contribution to daily transactions in each market, they also imply a high level of dependence between these markets. This level of interconnection affects both market participants and competent market authorities. However, according to this evidence, there remains room for stronger stock interconnection and market integration within the EU.
Self-Dual Embedding for SDP Using ELSD and its Lagrangian Dual

This paper is devoted to the study of an embedding method for semi definite programming problems using Extended Lagrange-Slater dual (ELSD) and its Lagrangian dual. A theorem proved by de Clerk et al. in 1996 is revisited. A new proof is provided utilizing a result regarding the weak feasibility of a conic linear programming problem.
A Survey on Security of Data outsourcing in Cloud Dr

Cloud computing enables on-demand access to shared resources. It lets to use files and applications over the internet. This technology uses both the internet and the central servers to maintain data and resources. Many organizations uses cloud computing services to outsource their data into cloud environment for location independent resource pooling, elasticity and usage-based pricing. Since more enterprises store their private data on the cloud storage, privacy and security become major concern. One of the most challenging problem in Cloud computing is about the security of the outsourced data which is mainly handled by untrusted parties. This paper surveyed different types of techniques used to enhance the security of data stored in cloud environment and compare those techniques.
The Correctness of the Definite Assignment Analysis in C#

In C# the compiler guarantees that each local variable is initialized before an access to its value occurs at runtime. This prevents access to uninitialized memory and is a crucial ingredient for the type safety of C#. We formalize the definite assignment analysis of the C# compiler with data flow equations and we prove the correctness of the analysis.
Hand preference, performance abilities, and hand selection in children

It is widely know that the pattern of human handedness is such that approximately 90% of the population is right handed with the remainder being left handed, at least in the adult population. What is less well understood is how handedness develops and at what age adult-like handedness patterns emerge. Quantified in terms of both preference and performance, a plethora of different behavioral assessments are currently in use with both children and adults. Handedness questionnaires are commonly used; however, these possess inherent limitations, considering their subjective nature. Hand performance measures have also been implemented; however, such tasks appear to measure different components of handedness. In addition to these traditional measures, handedness has been successfully assessed through observation of hand selection in reaching, which has proven to be a unique and effective manner in understanding the development of handedness in children. Research over the past several decades has demonstrated that young children display weak, inconsistent hand preference tendencies and are slower with both hands. Performance differences between the hands are larger for young children, and consistency improves with age. However, there remains some controversy surrounding the age at which hand preference and hand performance abilities can be considered fully developed. The following paper will provide a review of the literature pertaining to hand preference, performance abilities and hand selection in children in an attempt to ascertain the age at which adult-like patterns of hand preference and performance emerge.
The mechatronic design of the new legs of the iCub robot

This article describes the design and testing process of a new pair of legs for the iCub. The iCub is an opensource humanoid robot that is being used by more than 20 institutes and research centers worldwide. Although the legs of the original iCub allow the robot to perform basic balancing and crawling locomotion the extension of its locomotion skills to bipedal walking could give to the iCub community additional possibilities for a wider range of experimentation. To extend the iCub locomotion capabilities to bipedal walking we thus undertook a design revision of the legs. A major novelty of the new design is the introduction of series elastic actuators (SEA) at the knee and ankle joints. Additional modifications were applied at the ankle joint to improve both the torque capability and range of motion. The present article will describe the conceptual design of the new system, and will present some preliminary data regarding the testing of the elastic module.
Exploiting main memory DBMS features to improve real-time concurrency control protocols

The Real-Time Database Systems (RTDBSs) Project at Bilkent University is concerned with varIous aspects of transaction scheduling in RTDBSs. Within the REACH (REal-time, Active and Heterogeneous Systems) Project at Darmstadt we have been working on engineering real-time DBMSs on top of the Chorus RTOS with a special emphasis on ~eroviding predictability and the ability to map highvel RT-protocols to basic RTOS schedulers. We are also working on combining active and real-time functionality [2]. Recently, both groups started to cooperate. The work described in this paper is joint work that resulted from this cooperation. Predictability of transaction execution is a basic issue in RTDBSs. Because of the unpredictability of page faults and the time required for I /O (3-4 orders of magnitude higher than memory accesses) the work on RTDBS concurrency control has made one of two possible assumptions: either the performance metric used is simply the percentage of transactions finishing their execution within their deadline, without giving any guarantees for an individual transaction, or the underlying database is memoryresident. Main memory databases become increasingly feasible due to the drastically falling memory prices and growing memory sizes. However, the concurrency control protocols developed so far for RTDBSs are derived from disk-resident DBMS concurrency control algorithms and do not exploit the inherent properties of main memory datab~es. An assumption underlying the recently published concurrency control protocols for RTDBSs is that predeclaration of locks is impractical because it is impossible to predict which instance of a relation will actually be accessed by a transaction. Therefore, the model of dynamic resource acquisition is assumed. Those protocols spend considerable CPU time for the detection and resolution of data conflicts and fine-grained lock management. This overhead reduces the effective CPU utilization, and leads to an increase in the number of missed transaction deadlines. It has been demonstrated that very large lock