Miracle-dz/UniFAR-FTUs huggingface dataset:
Dynamic construction of Bluetooth scatternets of fixed degree and low diameter

Bluetooth is a promising recent radio technology for ad hoc networking. Bluetooth networks are based on connecting together piconets, to form a scatternet. The structure of the scatternet, and the way the scatternet is built and maintained, are not part of the Bluetooth specifications, but have a tremendous impact on the performance of the network. We present an efficient distributed algorithm for Bluetooth scatternet construction. The resulting scatternet is scalable and our construction is dynamic in the sense that nodes can join and leave the network at their convenience. For fixed constant degree of nodes, the resulting diameter is polylogarithmic in the size of the network, and the connectivity of the masters is high. We also give a routing protocol adapted to the specific scatternet topology returned by our algorithm. This protocol does not require complicated path-discovery methods, but is based on a simple virtual labeling of the devices participating in the scatternet.
Brazilian Validation of the Attachment to God Inventory (IAD-Br)

Bowlby’s Attachment Theory proposes that the person seeks protection and security with his or her caregiver, establishing a significant bond, which Bowlby characterizes as “attachment relationship”. The relationship with God can also be understood as an attachment relationship. Until now, there are no instruments in Brazil to measure one’s attachment to God. The purpose of this article is to present the adaptation and validation process of the Attachment to God Inventory for the Brazilian context, resulting in a Brazilian version of the Attachment to God Inventory (IAD-Br). The validation methodology for the IAD-Br consisted of Portuguese translation, reverse translation to English, pre-test, data collection, and validation through confirmatory factorial analysis (CFA). A total of 470 people participated in the study: 179 men and 291 women. Confirmatory factorial analysis presented unsatisfactory statistical parameters. Of the 28 items of the instrument, 11 items did not present adequate Item-Total Correlation. After excluding these 11 items, the instrument presented adequate adjustment indices. The IAD-Br, composed of 17 items, is able to be used to measure attachment to God in Brazil and constitutes a relevant instrument to identify the attachment to God style, being useful for application in the psychotherapeutic clinic and in contexts of spiritual care.
"Mine your own business" : using process mining to turn big data into real value

Like most IT-related phenomena, also the growth of event data complies with Moore’s Law. Similar to the number of transistors on chips, the capacity of hard disks, and the computing power of computers, the digital universe is growing exponentially and roughly doubling every 2 years. Although this is not a new phenomenon, suddenly many organizations realize that increasing amounts of "Big Data" (in the broadest sense of the word) need to be used intelligently in order to compete with other organizations in terms of efficiency, speed and service. However, the goal is not to collect as much data as possible. The real challenge is to turn event data into valuable insights. Only process mining techniques directly relate event data to end-to-end business processes. Existing business process modeling approaches generating piles of process models are typically disconnected from the real processes and information systems. Data-oriented analysis techniques (e.g., data mining and machines learning) typically focus on simple classification, clustering, regression, or rule-learning problems. This keynote paper provides pointers to recent developments in process mining thereby clearly showing that process mining provides a natural link between processes and data on the one hand and performance and compliance on the other hand. Keywords: Process Mining, Process Discovery, Conformance Checking, Business Process Management.
Design of A Robust Spread Spectrum Image Watermarking Scheme

Robustness is the key attribute of Spread Spectrum (SS) watermarking scheme. Several SS image watermarking algorithms have been proposed for multimedia signals but very few works have taken into consideration the issues responsible for robustness improvement. The current paper has critically analyzed few such factors namely properties of spreading codes, proper signal decomposition suitable for data embedding and the choice of modulation functions etc. that have greater impact on detection reliability. Based on the analysis robust SS watermarking scheme is proposed in wavelet domain and improvement in robustness performance is reported through experimental results. Proposed algorithm also shows improvement in visual and statistical invisibility of the hidden data.
Embarrassment of riches in the measurement of humility: A critical review of 22 measures

Abstract Less than ten years ago, humility science seemed stuck with intractable measurement problems. Due to theoretical innovations, measures have proliferated in recent years. Humility science now faces a critical task of reconciling definitions and measures. We reviewed 22 measures of humility, including (a) survey measures of general humility, (b) survey measures of humility subdomains, (c) indirect measures of humility, and (d) state measures of humility. We coded each item of each measure into a humility content domain and compared the various content areas covered by each measure. Then, we described the scale structure and evidence pertaining to reliability and validity. Finally, we identified the relatively stronger measures of humility and recommended a consolidated definition of humility.
Development of a controllable and continuous jumping robot

A miniature robot with continuous jumping ability is presented in this paper. The robot has a dimension about 6cm×8cm×2cm and weighs 20 grams. To achieve continuous jumping, various mechanisms are needed including the jumping mechanism, energy store and release mechanism, self-righting mechanism, and jumping direction changing mechanism. The design and analysis for those mechanisms are elaborated in this paper. Moreover, implementation and experimental results are also presented. It is shown that the robot can jump higher than 55cm with a 75° takeoff angle. The robot can be used as mobile sensors and deployed in the areas of rugged terrain and natural obstacles which are not suitable for sensors with wheels.
Visualizing high-dimensional predictive model quality

Using inductive learning techniques to construct classification models from large, high-dimensional data sets is a useful way to make predictions in complex domains. However, these models can be difficult for users to understand. We have developed a set of visualization methods that help users to understand and analyze the behavior of learned models, including techniques for high-dimensional data space projection, display of probabilistic predictions, variable/class correlation, and instance mapping. We show the results of applying these techniques to models constructed from a benchmark data set of census data, and draw conclusions about the utility of these methods for model understanding.
Pragmatic components in the Slovene lexical database meaning descriptions

The possibility to analyse vast amounts of linguistic data has brought about changes both in methodology as well as in the ways we perceive certain language phenomena. A key insight gained by computational methods in language analysis is undoubtedly the importance of lexical co-occurrence and usage patterns for the description of lexical meaning. Corpus analysis and new methods in the analysis of pragmatic components of meaning have also yielded significant results in areas such as the treatment of semantic prosody. The present paper does not focus on what is traditionally subsumed under connotation or the speaker's attitude (e.g., swear words, pejorative and offensive language, praise, excuses, requests, demands, etc.), but on ways in which the pragmatic (functional) meaning that arises from various contextual features can become an integral part of lexicographic descriptions. This is important for the treatment of all of those lexical items whose meanings reside in their function rather than in their bare lexical-semantic meaning, as this is particularly the case with phraseology and idiomatics. From another perspective, pragmatics turns out to be an effective means of sense discrimination in works of lexical and lexicographic relevance, as will be shown in the continuation.
Hedonic Enjoyment and Personal Expressiveness in Positive User Experiences

Understanding different facets of positive user experience (UX) is of great interest to researchers. Recently, 'positive design' and fostering happiness through technology is gaining more attention. However, little empirical research has been conducted. We adopted a concept from positive psychology that describes different facets of positive experience: 'hedonic enjoyment' and 'personal expressiveness'. The aim of the present study was to explore how hedonic enjoyment and personal expressiveness relate to established UX concepts, such as affect and need satisfaction. We found that hedonic enjoyment was associated with less negative affect, more stimulation and hedonic qualities, whereas personal expressiveness was correlated with both increased positive and negative affect and psychological needs such as competence, relatedness, popularity and security. Our findings suggest that UX research might benefit from including personal expressiveness as a complementary concept when investigating experience with interactive technology.
Building Strategic Supplier Collaboration through Gaming

Strategic supplier collaborations in inter-organizational environments have shown increasingly important. When building a strategic collaboration, such as It-implementations, difficult issues come to surface e.g. human and technical difficulties. The focus of this article is a game developed to visualize these human factors to students with a theoretical and practical background, and by this the students will be equipped to plan and handle such a process in reality. The game is developed as a participating role game and based on an empirical documented case. The article has a practical focus/contribution and therefore the case is described and discussed in detail.
High-Resolution Mapping of Genomic Imbalance and Identification of Gene Expression Profiles Associated with Differential Chemotherapy Response in Serous Epithelial Ovarian Cancer 1 *

Array comparative genomic hybridization (aCGH) and microarray expression profiling were used to subclassify DNA and RNA alterations associated with differential response to chemotherapy in ovarian cancer. Two to 4 Mb interval arrays were used to map genomic imbalances in 26 sporadic serous ovarian tumors. Cytobands 1p36, 1q42-44, 6p22.1-p21.2, 7q32.1-q34 9q33.3-q34.3, 11p15.2, 13q12.2-q13.1, 13q21.31, 17q11.2, 17q24.2-q25.3, 18q12.2, and 21q21.2-q21.3 were found to be statistically associated with chemotherapy response, and novel regions of loss at 15q11.2q15. 1 and 17q21.32-q21.33 were identified. Gene expression profiles were obtained from a subset of these tumors and identified a group of genes whose differential expression was significantly associated with drug resistance. Within this group, five genes (GAPD, HMGB2, HSC70, GRP58, and HMGB1), previously shown to form a nuclear complex associated with resistance to DNA conformation–altering chemotherapeutic drugs in in vitro systems, may represent a novel class of genes associated with in vivo drug response in ovarian cancer patients. Although RNA expression change indicated only weak DNA copy number dependence, these data illustrate the value of molecular profiling at both the RNA and DNA levels to identify small genomic regions and gene subsets that could be associated with differential chemotherapy response in ovarian cancer. Neoplasia (2005) 7, 603–613
Analysis of Psychological Resilience in Employees in terms of Positive and Negative Affect

Bu arastirmanin amaci; calisanlarin psikolojik dayanikliligi ile pozitif ve negatif duygulanim arasinda anlamli bir iliski olup olmadigini belirlemek, pozitif ve negatif duygulanimin psikolojik dayanikliliga etkisini incelemek, psikolojik dayanikliligin istatistiksel olarak hangi boyutlarinin ne duzeyde etkilendigini saptamak ve demografik faktorlere gore psikolojik dayanikliligin farklilik gosterip gostermedigini incelemektir. Bu amac dogrultusunda yuz yuze anket yontemiyle 170 ozel sektor calisandan veri elde edilmistir. Arastirmada kullanilan psikolojik dayaniklilik ile pozitif ve negatif duygu olcekleri icin gecerlik ve guvenirlik analizi gerceklestirilmistir. Yapisal gecerligi saglanan olcekler kullanilarak elde edilen veriler korelasyon, basit dogrusal regresyon, MANOVA, Independent Sample T testi ve One-Way ANOVA testi ile analiz edilmistir. Gerceklestirilen analizler sonucunda; psikolojik dayanikliligin kendini adama, meydan okuma ve kontrol boyutlari ile pozitif duygulanim arasinda pozitif yonde anlamli iliski saptanmistir. Psikolojik dayanikliligin kendini adama, meydan okuma ve kontrol boyutlari ile negatif duygulanim arasinda ise negatif yonde anlamli bir iliski saptanmistir. Pozitif duygulanimin en cok meydan okuma boyutu uzerinde etkisinin oldugu belirlenmistir. Negatif duygulanimin uzerinde etki duzeyi ise sirasiyla meydan okuma boyutu, kendini adama boyutu ve kontrol boyutu olarak belirlenmistir.
Adding Client-Side Adaptation to the Conceptual Design of e-Learning Web Applications

In this paper, we integrate WebML, a high-level model and technology for building server-side Web applications, with UML-Guide, a UML-based system that generates client-side guides for the adaptation of Web applications. The combination of the two systems is shown at work on an e-Learning scenario: WebML is the basis of the specification of a generic e-Learning system, collecting a large number of learning objects, while UML-Guide is used for building company-specific e-Learning curricula. The resulting system can be considered an "adaptive hypermedia generator" in full strength, whose potential expressive power goes beyond the experiments reported in this paper.
Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes

A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mechanisms that might be present in a hearing aid. Subjective sound quality comparisons for 14 normal-hearing and 18 hearing-impaired subjects were used for evaluating the predictive performance. Stimuli were sentences subjected to three kinds of distortion (additive noise, peak clipping, and center clipping) with eight levels of degradation for each distortion type. The kernel approach gives a significant improvement in preference predictions of hearing-impaired subjects by individualizing the learning process. A significant difference is shown between normal-hearing and hearing-impaired subjects, because of nonlinearities in the perception of hearing-impaired subjects. In particular, hearing-impaired subjects have significant nonlinear preference judgments when making pairwise comparisons between peak clipped sentences with different clipping thresholds. The probabilistic kernel approach is shown to be robust when generalizing over distortions and over subjects.
Polynomial process algebra

In this paper we present a polynomial process algebra (PPA) like basic process algebra which can be used to model both polynomial behavior of parallel systems. It provides a nature framework for the concurrent composition systems, and can deal with the nondeterministic behavior. This process algebra is obtained by the polynomial transition systems which we defined. In this paper we concentrate on giving the syntax and semantic, and meanwhile defining the bisimulation equivalence. In the last we give an example to illustrate it.
An Application of the Proximal Point Algorithm to Optimal Control Problems with Constraints

This paper is concerned with the proximal-based approachto linear and finite-difference approximations ofconstrained convex optimal control problems (OCPs). Weconsider control systems governed by ordinary differentialequations in the presence of additional terminal/state inequalitiesand propose a numerical method derived fromthe proximal point algorithm. The aim of the paper is tostudy the convergence properties of the obtained conceptualalgorithm and to show that it can be used to computeapproximate optimal controls.
A PC-based expert system in engineering

Over the last decade expert systems have been applied in many different domains with varying degrees of success. Much has been learned about techniques for knowledge representation, inference engines and user interfaces. Another important factor in the success of an expert system is to take into consideration at the design stage the person for whom the final system is intended: expert, informed user or beginner. Southampton University and Marchwood Laboratories of CEGB (Central Electricity Generating Board) have collaborated in recent years to produce an expert advisory system for selecting processes for welding. Apart from knowledge about the processes themselves, other factors have been taken into consideration such as equipment cost and availability, depreciation, running costs, the site, reject rate and quality level. This PC-based advisory system was designed for use by an informed but not necessarily expert welding engineer, for use in a laboratory, with an emphasis on the friendliness of the interface and flexibility of the system. Recent research work has concentrated on designing the software in an object-oriented way using an object-oriented language. This emphasis on encapsulation of data and relevant procedures has improved not only the efficiency of the system but also its overall design, meaning that future modifications or extensions can be incorporated with far greater ease. Current work includes the prototyping of tools, with the future aim of allowing a new user in a related area of engineering to use the tools to produce a similar expert system.
Distance to Orion KL Measured with VERA

We present the initial results of multiepoch VLBI observations of 22 GHz H2O masers in the Orion KL region with VERA (VLBI Exploration of Radio Astrometry). With the VERA dual-beam receiving system, we carried out phase-referencing VLBI astrometry, and successfully detected the annual parallax of Orion KL to be 2.29 ˙ 0.10 mas, corresponding to a distance of 437 ˙ 19 pc from the Sun. The distance to Orion KL was determined for the first time with the trigonometric parallax method in these observations. Although this value is consistent with that previously reported, 480 ˙ 80 pc, which was estimated from a statistical parallax method using the proper motions and radial velocities of the H2O maser features, our new results provide a much more accurate value with an uncertainty of only 4%. In addition to the annual parallax, we detected an absolute proper motion of the maser feature, suggesting an outflow motion powered by the radio source I along with the systematic motion of source I itself.
The spatial filtering properties of local edge detectors and brisk–sustained retinal ganglion cells

We compared image computation in the rabbit retina by two different cell types: the so‐called ‘local edge detecting’ ganglion cells and the well‐known brisk–sustained ganglion cells. From both anatomical and physiological evidence, these cells are present in nearly equal numbers and thus overlap to sample the same regions of visual space. We recorded simultaneously from overlapping cells on a dense microelectrode array. The results were analysed using an anatomically realistic simulation of the retina's processing levels. The ‘local edge detecting’ cell was found to be tuned to higher spatial frequencies and to have a narrower spatial frequency bandpass than the brisk–sustained cells. Simulation revealed that this is due primarily to the ‘zero‐crossing’ detector implied by the definition of the local edge detector. The outputs of the simulations in response to complex images were analysed quantitatively. The results showed the population of local edge detectors to transmit a sparser code than the brisk–sustained cells.
Rab GTPase Prenylation Hierarchy and Its Potential Role in Choroideremia Disease

Protein prenylation is a widespread post-translational modification in eukaryotes that plays a crucial role in membrane targeting and signal transduction. RabGTPases is the largest group of post-translationally C-terminally geranylgeranylated. All Rabs are processed by Rab geranylgeranyl-transferase and Rab escort protein (REP). Human genetic defects resulting in the loss one of two REP isoforms REP-1, lead to underprenylation of RabGTPases that manifests in retinal degradation and blindness known as choroideremia. In this study we used a combination of microinjections and chemo-enzymatic tagging to establish whether Rab GTPases are prenylated and delivered to their target cellular membranes with the same rate. We demonstrate that although all tested Rab GTPases display the same rate of membrane delivery, the extent of Rab prenylation in 5 hour time window vary by more than an order of magnitude. We found that Rab27a, Rab27b, Rab38 and Rab42 display the slowest prenylation in vivo and in the cell. Our work points to possible contribution of Rab38 to the emergence of choroideremia in addition to Rab27a and Rab27b.
Personality Traits of Church Planters and Other Church Leaders in Europe (II)

In search of a renewal of their mission in the secularized West, an increasing number of (Protestant) churches have embarked on the creation of new faith communities with a strong missionary purpose. This entrepreneurial approach of mission raises a number of questions, among which the issue of leadership is paramount. Currently, however, very little reliable empirical research has been done among faith entrepreneurs, or ‘church planters’, in Europe. In this article the personality dimensions of 215 church planters are compared with 307 ‘regular’ church leaders (pastors), based on the so-called ‘Big Five’ personality test. Independent samples t-tests showed that church planters are significantly more extravert, open to new experiences, and conscientious than ‘regular’ pastors, and significantly less neurotic, while scores on agreeableness are more or less similar. These results are discussed with a view to existing literature on church planting and entrepreneurship in the West.
Algebraic soft-decision decoding of Reed-Solomon codes

A polynomial-time soft-decision decoding algorithm for Reed-Solomon codes is developed. The algorithm is algebraic in nature and builds upon the interpolation procedure proposed by Guruswami and Sudan (see IEEE Trans. Inform. Theory, vol.45, pp.1755-64, Sept. 1999) for hard-decision decoding. Algebraic soft-decision decoding is achieved by means of converting the soft-decision reliability information into a set of interpolations points along with their multiplicities. The conversion procedure is shown to be optimal for a certain probabilistic model. The resulting soft-decoding algorithm significantly outperforms both the Guruswami-Sudan decoding and the generalized minimum distance (GMD) decoding, while maintaining a complexity that is polynomial in the length of the code. Asymptotic analysis for a large number of interpolation points is presented, culminating in a complete geometric characterization of the decoding regions of the proposed algorithm. The algorithm easily extends to polynomial-time soft-decision decoding of BCH codes and codes from algebraic curves.