Miracle-dz/UniFAR-FTUs huggingface dataset:
Artificial Markets under a Complexity Perspective

The focus of this study is to build, from the ‘bottom-up’, a market with artificially intelligent adaptive agents based on the institutional arrangement of the Colombian Foreign Exchange Market (1994-1999) in order to determine simple agents’ design, rules and interactions that are sufficient to create interesting behaviours at the macroscopic level - emerging patterns that replicate the properties of the time series from the case study. Tools from artificial intelligence research, such as genetic algorithms and fuzzy logic, are the basis of the agents’ mental models, which in turn are used for forecasting, quoting and learning purposes in a double auction market. Sets of fuzzy logic rules yield adequate, approximately continuous risk and utility preferences without the need to fix their mathematical form ex-ante. Statistical properties of financial time series are generated by the artificial market, as well as some additional non-linearity linked to the existence of a crawling band. Moreover, the behaviour of the simulated exchange rate is consistent with currency band theory. Agent’s learning favours forecasting rules based on regulatory signals against rules based on fundamental information. Also, intra-day volatility is strongly linked to the rate of arrival and size of real sector trades. Intra-day volatility is also a function of the frequency of learning and search specialisation. It is found that when a moderately low frequency of learning is used, volatility increases.
Measuring efficacy sources: Development and validation of the Sources of Teacher Efficacy Questionnaire (STEQ) for Chinese teachers

The aim of the current study is to develop and validate an instrument to measure the four sources of teacher efficacy among Chinese primary school teachers. A 26-item Sources of Teacher Efficacy Questionnaire (STEQ) was proposed with four subscales: mastery experience, vicarious experience, social persuasion, and physiological arousal. The results supported the hypothesized four-factor structure of the STEQ. Scores from all the four factors of the STEQ had strong significant correlations with the Teachers’ Sense of Efficacy Scale (TSES), which showed the criterion-related validity of the STEQ. Further, scores of all four sources significantly predicted teacher efficacy scores, among which social persuasion was the strongest predictor. This study contributes to the self-efficacy literature by providing researchers with an instrument for examining the various facets of teacher efficacy. The findings can inform school principals and teacher educators, enabling them to facilitate a school culture and teaching environment that cultivates a greater sense of teacher efficacy and, in turn, better teaching performance.
Los comienzos de la terapia ocupacional en Estados Unidos: una perspectiva feminista desde los estudios de Ciencia, Tecnología y Género (siglos XIX y XX)

El presente articulo corresponde a una reconstruccion historica de los inicios de la terapia ocupacional en Estados Unidos, un espacio en donde las mujeres toman un rol protagonico durante el siglo XX. Se realiza una revision de los procesos, interrelaciones y principales estrategias, como vinculos con circulos de mujeres y alianzas con medicos varones, empleadas empleados para posicionar la terapia ocupacional como una disciplina independiente de la medicina. Ademas, se exploran la vida y obra de tres importantes mujeres en la profesion: Julia Lathrop, Susan Tracy y Susan Cox Johnson. La metodologia consistio en el analisis documental de fuentes primarias desde un enfoque de genero. Como conclusion se senala la relevancia de reconocer la posicion de las mujeres en la historia de la terapia ocupacional como pilares fundamentales en su edificacion.
Application of Multiple Fuzzy-Neuro Controllers of an Exoskeletal Robot for Human Elbow Motion Support

A decrease in the birthrate and aging are progressing in Japan and several countries. In that society, it is important that physically weak persons such as elderly persons are able to take care of themselves. We have been developing exoskeletal robots for human (especially for physically weak persons) motion support. In this study, the controller controls the angular position and imped- ance of the exoskeltal robot system using multiple fuzzy-neuro controllers based on biological signals that reflect the human subject's intention. Skin surface electromyogram (EMG) signals and the generated wrist force by the human subject during the elbow motion have been used as input information of the controller. Since the activation level of working muscles tends to vary in accordance with the flexion angle of elbow, multiple fuzzy -neuro controllers are applied in the proposed method. The multiple fuzzy-neuro controllers are moderately switched in accordance with the elbow flexion angle. Because of the adaptation ability of the fuzzy-neuro controllers, the exoskeletal robot is flexible enough to d eal with biological signal such as EMG. The experimental results show the effectiveness of the proposed controller.
Partial fulfillment of the requirements for a degree in Master of Science in Computer Science

3 INTRODUCTION . 4 PROPOSED SOLUTION . 6 EXPERIMENTAL EVALUATION . 10 DATABASE OF SITACs AND RANKING OF RULES . 21 RELATED WORK . 29 CONCLUSIONS. 31 ACKNOWLEDGMENTS . 31 REFERENCES . 32
Simplified detection techniques for serially concatenated coded continuous phase modulations

Serially concatenated coded (SCC) systems with continuous phase modulations (CPMs) as recursive inner codes have been known to give very high coding gains at low operative signal to noise ratios (SNRs). Moreover, concatenated coded systems with iterative decoding approach the bit error rate bounds given by the maximum likelihood criterion at a lesser complexity. However, when highly bandwidth efficient CPMs are used, they pose two fundamental problems — extremely high decoding complexity and carrier phase synchronization. Desirable properties of SCC systems and their subsequent applications to deep space communication has renewed research interests to look for possible solutions to the above problems. Several complexity reduction techniques have been surveyed in this thesis to address the problem of efficient detection at low SNR operation of the SCC systems. Perfect synchronization at the receiver is often times a delusive assumption. This makes non-coherent detection an attractive option. A heuristic and practical non-coherent detection algorithm is proposed for moderate phase noise environments, which result in huge savings in complexity compared to the available algorithms for non-coherent detection.
Torsion-Complete Primary Components in Modular Abelian Group Rings over Certain Rings

Suppose that G is an abelian p-separable group and R is a commutative unital ring of prime characteristic p. It is proved that if Rp i possesses nilpotent elements for each natural number i, then the normalized Sylow p-subgroup S(RG) in the group ring RG is torsion-complete if and only if G is p-bounded. This supplies our recent results from Acta Math. Hung. (1997), Ric. Mat. (2002), Tamkang J. Math. (2003) and Intern. J. Math. and Anal. (2006).
A Framework for Non Intrusive Load Monitoring Using Bayesian Inference

Non-Intrusive Load Monitoring (NILM) refers to the disaggregation of electric appliances from a single point measurement. The problem is gaining a lot of attention recently, primary due to the promising energy savings as well as potential business prospects such a solution brings. However, in a large scale deployment, the digital meter is unlikely to have multiple electrical parameters which most existing NILM research rely on. In this paper, we report the results of using a Bayesian approach to obtain the disaggregation of the loads where only active power measurements are available at a sampling rate of a few seconds. The proposed method requires the prior availability of appliance information (i.e., the prior probability and appliance ratings). To obtain the appliance information for the disaggregation algorithm, we adopt an unsupervised learning approach. Further, we present the results of these algorithms on a simulated and an open household electric consumption data set.
Agent based facilitator assistant for virtual meetings

The high cost of air travel and accommodation together with the increasing capacity and speed of internet networks has resulted in large multinational companies considering virtual meetings as an alternative to face-to-face meetings. The hardware and software to support virtual meetings is becoming more sophisticated and more accessible, as some Hotel Chains are offering the facility to businesses as part of their portfolio of services. With the rise in popularity of this type of meeting environment the need for a facilitator to co-ordinate this type of activity has become more acute but the technology to support this has lagged behind. With the emergence of the Virtual Design Office as a response to multi-cultural design teams working on global projects the need for virtual meetings becomes more important in time critical situations. This paper presents work that has been completed in developing the requirements for an agent based virtual meeting support system, with particular emphasis on the role of the facilitator.
QSEA for fuzzy subgraph querying of KEGG pathways

As biological pathway databases continually increase in size and availability, efficient tools and techniques to query these databases are needed to mine useful biological information. A plethora of existing techniques already allow for exact or approximate query matching. Despite initial success, powerful techniques used for XML and RDF query matching have yet to be sufficiently exploited for use in query matching in the bioinformatics domain. In this paper, we employ the transitive closure to focus on matching hierarchical queries, i.e., finding pathways or graphs that possess a query's overall hierarchical structure. This approach allows for a greater latitude in fuzzy matching by focusing on the overall hierarchies of queries and graphs. Since hierarchies are only inherent in directed acyclic graphs, we have also developed a robust heuristic to heuristically solve the minimum feedback arc set problem. Analysis on 53 H. sapiens and 23 S. cerevisiae cyclic KEGG pathways have shown that our heuristic performs quite favorably. We have implemented the techniques in an easy to use GUI software QSEA (Query Structure Enrichment Analysis). Binaries are freely available at http://code.google. com/p/s-e-a/ for Windows and MAC.
Identifying music documents in a collection of images

Digital libraries and search engines are now well-equipped to find images of documents based on queries. Many images of music scores are now available, often mixed up with textual documents and images. For example, using the Google “images” search feature, a search for “Beethoven” will return a number of scores and manuscripts as well as pictures of the composer. In this paper we report on an investigation into methods to mechanically determine if a particular document is indeed a score, so that the user can specify that only musical scores should be returned. The goal is to find a minimal set of features that can be used as a quick test that will be applied to large numbers of documents. A variety of filters were considered, and two promising ones (run-length ratios and Hough transform) were evaluated. We found that a method based around run-lengths in vertical scans (RL) that out-performs a comparable algorithm using the Hough transform (HT). On a test set of 1030 images, RL achieved recall and precision of 97.8% and 88.4% respectively while HT achieved 97.8% and 73.5%. In terms of processor time, RL was more than five times as fast as HT.
On the correct and complete enumeration of the core search space

Reordering more than traditional joins (e.g. outerjoins, antijoins) requires some care, since not all reorderings are valid. To prevent invalid plans, two approaches have been described in the literature. We show that both approaches still produce invalid plans. We present three conflict detectors. All of them are (1) correct, i.e., prevent invalid plans, (2) easier to understand and implement than the previous (buggy) approaches, (3) more flexible in the sense that the restriction that all predicates must reject nulls is no longer required, and (4) extensible in the sense that it is easy to add new operators. Further, the last of our three approaches is complete, i.e., it allows for the generation of all valid plans within the core search space.
Representation of Quantum Circuits with Clifford and $\pi/8$ Gates

In this paper, we introduce the notion of a normal form of one qubit quantum circuits over the basis $\{H, P, T\}$, where $H$, $P$ and $T$ denote the Hadamard, Phase and $\pi/8$ gates, respectively. This basis is known as the {\it standard set} and its universality has been shown by Boykin et al. [FOCS '99]. Our normal form has several nice properties: (i) Every circuit over this basis can easily be transformed into a normal form, and (ii) Every two normal form circuits compute same unitary matrix if and only if both circuits are identical. We also show that the number of unitary operations that can be represented by a circuit over this basis that contains at most $n$ $T$-gates is exactly $192 \cdot (3 \cdot 2^n - 2)$.
Necdin Controls Proliferation and Apoptosis of Embryonic Neural Stem Cells in an Oxygen Tension-Dependent Manner

Neural stem cells (NSCs) reside in vivo in hypoxic environments, and NSC proliferation is enhanced in vitro under hypoxic conditions. Various adaptive responses to hypoxia are mediated by hypoxia-inducible factors (HIFs), a family of basic helix–loop–helix Per-Arnt-Sim (PAS) transcription factors. Necdin, a MAGE (melanoma antigen) family protein, is expressed abundantly in postmitotic neurons and possesses potent antimitotic and antiapoptotic activities. We here report that hypoxia induces degradation of the necdin protein in primary NSCs by HIF-mediated ubiquitin-proteasome system. Necdin was expressed in primary NSCs prepared from the ganglionic eminences of mouse embryos. Hypoxia enhanced neurosphere formation of NSCs, in which the necdin protein level was significantly reduced. Primary NSCs prepared from necdin-deficient mice exhibited higher rates of proliferation and apoptosis than those from wild-type mice in normoxia, whereas there were no significant differences in the proliferation and apoptosis rates between necdin-deficient and wild-type NSCs in hypoxia. HIF-2α was predominantly expressed in hypoxic NSCs, where expression of HIF-responsive genes was upregulated. HIF-2α interacted with necdin via its PAS domain, which enhanced necdin ubiquitination. Lentivirus-mediated expression of the PAS domain in primary NSCs promoted necdin degradation and enhanced NSC proliferation in normoxia, whereas a small-molecule inhibitor of HIF-2α translation stabilized the necdin protein and reduced NSC proliferation in hypoxia. These results suggest that oxygen tension regulates the necdin protein level in NSCs through HIF-2α-mediated proteasomal degradation to modulate their proliferation and apoptosis.
The Stellar Content of Obscured Galactic Giant H II Regions. I. W43

Near-infrared images of the Galactic giant H II region W43 reveal a dense stellar cluster at its center. Broadband JHK photometry of the young cluster and K-band spectra of three of its bright stars are presented. The 2 μm spectrum of the brightest star in the cluster is very well matched to the spectra of Wolf-Rayet stars of subtype WN7. Two other stars are identified as O-type giants or supergiants by their N III and C IV emission. The close spatial clustering of O- and the hydrogen WN-type stars is analogous to the intense starburst clusters R136 in the Large Magellanic Cloud and NGC 3603 in the Galaxy.
Nokia internet pulse: a long term deployment and iteration of a twitter visualization

Nokia Internet Pulse is a system for visualizing current discussion around a particular topic on Twitter. It consists of a time-series of stacked tag clouds consisting of the (interesting) words in tweets that match a topic. Words are sized proportional to frequency and colored according to the emotional content of the tweet: if several people tweet "I love my Nokia N900", then "N900" will show up colored bright green, because it's in the same tweet as the word "love", which the system recognizes as positive. In addition to showing topics of corporate interest ("Nokia", "N9", etc.), the system is also useful for understanding buzz around individuals ("Rihanna"), conferences ("#chi2012"), topics ("rumor OR rumors"), Twitter-specific phenomena ("RT") and more. Clicking on words shows a list of tweets that contain those words, allowing easy drill-down to view individual tweets. It is available at http://nip.nokia. com/.
Steroid treatment based on the findings of transbronchial biopsy in idiopathic interstitial pneumonia

This study was performed to find the rationale for administering steroids to patients with idiopathic interstitial pneumonia (IIP), which was unlikely to be usual interstitial pneumonia (UIP) but was not surgically biopsied. Among IIP patients in the file of the departments, nine patients who met the following criteria were selected for this study (“non-UIP” group): 1) transbronchial lung biopsy showed dense mononuclear cell infiltration in thickened alveolar septa; 2) chest radiograph and computed tomography showed irregular linear, reticular or ground-glass opacities with alveolar consolidation without honeycombing in the lung base; and 3) spirometry was performed before and after steroid therapy. Ten patients with pathologically confirmed nonspecific interstitial pneumonia (“NSIP” group) were also selected for the comparison. Baseline values and percentage increase of vital capacity (VC) after steroid therapy were plotted. Steroids improved VC in both groups of patients. After 1 yr of steroid therapy, percentage increase of VC in “non-UIP” was 28.8±7.7%, which was not significantly different from that in NSIP (30.0±11.7%). One “non-UIP” patient and one NSIP patient died after 6.4 and 4.3 yrs of follow-up, respectively. Patients with idiopathic interstitial pneumonia presenting cellular interstitial pneumonia in transbronchial lung biopsy, in addition to radiographic findings not typical for usual interstitial pneumonia, could expect a beneficial effect of steroids without undergoing surgical biopsy.
Efficient SINR fairness algorithm for large distributed multiple-antenna networks

This paper studies the joint beamforming and power control in a multiuser distributed antenna uplink network, wherein the number of users and the number of separately located antennas grow large with ratio being bounded. We consider the SINR fairness problem under individual power constraint and present a distributed iterative algorithm. This algorithm, though converging to the instantaneous optimal solution, requires instantaneous power update. In order to design a low complexity algorithm that achieves optimality in the asymptotic sense, we leverage the large system structure to derive an asymptotic solution requiring only channel statistics. In this algorithm, the asymptotic power is slowly updated and the asymptotic beamformer can be obtained in a non-iterative manner. The convergence property of the proposed algorithm is also studied.
An Independent Evaluation of Web Timing Attack and its Countermeasure

Web timing have attacks become a new threat on the Internet because they enable attackers to reveal users' private information. In this paper, we evaluate the threat of a web timing attack and its countermeasure. Our contribution is to investigate the occurrence conditions of a web timing attack. We also verify the effectiveness of our countermeasure, whose significant feature is fixing the authentication time whereas previous work fixes the response time. For our evaluation, we measure response times of several web applications, and analyze the result with statistical testing. We find that it is difficult to reveal the of username in some types of applications, and we confirm that our countermeasure can thwart web timing attacks.
Extended Silicate Dust Emission in Palomar-Green QSOs

This paper addresses the origin of the silicate emission observed in PG QSOs, based on observations with the Spitzer Space Telescope. Scenarios based on the unified model suggest that silicate emission in AGNs arises mainly from the illuminated faces of the clouds in the torus at temperatures near sublimation. However, detections of silicate emission in type 2 QSOs, and the estimated cool dust temperatures, argue for a more extended emission region. To investigate this issue we present the mid-infrared spectra of 23 QSOs. These spectra, and especially the silicate emission features at ~10 and ~18 μm, can be fitted using dusty narrow-line region (NLR) models and a combination of blackbodies. The bolometric luminosities of the QSOs allow us to derive the radial distances and covering factors for the silicate-emitting dust. The inferred radii are 100-200 times larger than the dust sublimation radius, much larger than the expected dimensions of the inner torus. Our QSO mid-IR spectra are consistent with the bulk of the silicate dust emission arising from the dust in the innermost parts of the NLR.
Asymptotic outage analysis of incremental decode and forward cognitive radio relay network

In this paper, we consider a secondary incremental relaying (IR) network that operates simultaneously with multiple primary receivers in the same frequency band under spectrum sharing constraints. The IR network consists of multiple decode-and-forward (DF) relays and employs opportunistic relay selection for cooperation. We analyze the outage probability of the network where the selected relay opts to cooperate when the destination fails to decode the direct transmission from source.We derive the expression of asymptotic outage probability, diversity gain and coding gain. The diversity gain was found to be the same as that of a non-spectrum sharing system. Furthermore, we investigate the impact of number of relays and primary-to-secondary network distance on outage probability and coding gains, which is validated through numerical simulation.
Mixing in the shear superposition micromixer: three-dimensional analysis

In this paper, we analyse mixing in an active chaotic advection micromixer. The micromixer consists of a main rectangular channel and three cross–stream secondary channels that provide ability for time–dependent actuation of the flow stream in the direction orthogonal to the main stream. Three–dimensional motion in the mixer is studied. Numerical simulations and modelling of the flow are pursued in order to understand the experiments. It is shown that for some values of parameters a simple model can be derived that clearly represents the flow nature. Particle image velocimetry measurements of the flow are compared with numerical simulations and the analytical model. A measure for mixing, the mixing variance coefficient (MVC), is analysed. It is shown that mixing is substantially improved with multiple side channels with oscillatory flows, whose frequencies are increasing downstream. The optimization of MVC results for single side–channel mixing is presented. It is shown that dependence of MVC on frequency is not monotone, and a local minimum is found. Residence time distributions derived from the analytical model are analysed. It is shown that, while the average Lagrangian velocity profile is flattened over the steady flow, Taylor–dispersion effects are still present for the current micromixer configuration.