Miracle-dz/UniFAR-FTUs huggingface dataset:
The Hungarian Version of Sociosexual Orientation Inventory Revised (SOI-R): Sex and Age Differences

Affectionless, uncommitted sexual behavior was formerly interpreted in psychology as a function of individual decisions, a kind of intrapsychic variable. Sociosexual orientation is directly linked to reproductive success, so among other issues, measuring sociosexual orientation has been of great interest for evolutionary scientists. Most recently Penke and Asendorpf (2008) prepared the revised version of Sociosexual Orientation Inventory (SOI-R), which has been used in dozens of studies since its publication. The aim of the current study was to test the usability of the Hungarian version and to analyze the factor structure and internal reliability of the inventory. It was translated and the structure was analyzed on a Hungarian sample (n = 1345, females = 832, males = 513; age: M = 26.37 years, SD = 8.75, range: 16-74). Our results show that the Hungarian version has the same three-factor structure as proposed by Penke and Asendorpf (2008) and is a reliable inventory for further studies of sociosexuality. The sociosexual scores of the two sexes statistically differ in the expected direction: women show lower SOI scores than men. Sociosexual desire decreases with age, whereas older participants report less restricted sociosexual behavior. Sociosexual attitude is uneffected by age. Results are discussed from both evolutionary and life-span developmental points of view.
The Paradigm of Critical Realism and Involving Educators in Policy Debates

Education policy debates in Colombia often exclude the voice of professional educators. The aim of this paper is to introduce Critical Realism as an alternative to dominant social research paradigms that enables the possibility of more inclusive education policies. The ontic and epistemic elements of CR make a call for an inter-paradigmatic dialogue to retrieve causal explanations by providing scientific value to first-hand living experiences of social actors. In the end, different researchers (i.e. statisticians and school teachers) have a crucial, but differentiated, role, in the quest for scientific discovery.
CoolProvision: underprovisioning datacenter cooling

Cloud providers have made significant strides in reducing the cooling capital and operational costs of their datacenters, for example, by leveraging outside air ("free") cooling where possible. Despite these advances, cooling costs still represent a significant expense mainly because cloud providers typically provision their cooling infrastructure for the worst-case scenario (i.e., very high load and outside temperature at the same time). Thus, in this paper, we propose to reduce cooling costs by underprovisioning the cooling infrastructure. When the cooling is underprovisioned, there might be (rare) periods when the cooling infrastructure cannot cool down the IT equipment enough. During these periods, we can either (1) reduce the processing capacity and potentially degrade the quality of service, or (2) let the IT equipment temperature increase in exchange for a controlled degradation in reliability. To determine the ideal amount of underprovisioning, we introduce CoolProvision, an optimization and simulation framework for selecting the cheapest provisioning within performance constraints defined by the provider. CoolProvision leverages an abstract trace of the expected workload, as well as cooling, performance, power, reliability, and cost models to explore the space of potential provisionings. Using data from a real small free-cooled datacenter, our results suggest that CoolProvision can reduce the cost of cooling by up to 55%. We extrapolate our experience and results to larger cloud datacenters as well.
Type-rule-based Wrapper Generation

Biological data sources are useful to bioinformatics researches. Several computational tools have been developed so that these data sources can be used as easily as possible. Most of biological data has been provided over the web. Web data is almost represented in unstructured format and cannot be queried using traditional querying language. Furthermore, the problems, which integration of biological data faces, come from several factors such as the various data types, presentations and formats. So, it is not easy to find the desired data from diverse data sources. Although human being can easily understand web data, which are heterogeneous and unstructured, it is impossible for machine itself to figure it out. In order for machine to extract data from the web, it requires knowledge of both their structures and contents. We propose a novel architecture for automatic wrapper induction that exploits a user supplied type system and an ontology for establishing schema correspondence precisely and efficiently. In this paper, the type system helps recognize target data and improves precision of schema matching which is impossible without manual intervention.
Living the Process in Psychiatric Vocational Assessment

Abstract A qualitative exploratory single-case design was implemented to enable Vocational Assessment Programme staff at the Hamilton Psychiatric Hospital to increase awareness about the effects/outcomes of participation for a program consumer. An outpatient with the Mood Disorders Clinic at the time of his assessment, John Doe (a pseudonym) independently maintained a reflective journal throughout his participation in the program. This journal was coded for themes by the research team who employed several methods to establish trustworthiness. The findings suggest that consumer success is enabled by a supportive environment that encourages reflection, cues prior learning and isolates meaningful assessment results. While these findings are directly applicable to the operation of the Vocational Assessment Programme at the Hamilton Psychiatric Hospital, they also appear to have some broader consequence for providers of psychiatric services.
Adaptive image data fusion for consumer devices application

This paper presents a complete system for building an improved picture with high dynamic range by using different pictures of the same scene acquired under different exposure settings. The image data fusion is achieved by merging the original data by weighting each single contribution on a pixel basis by suitable data function. Experiments confirm the effectiveness of such approach.
IMPLICATIONS OF APTITUDE TEST RESEARCH AND PSYCHOLINGUISTIC THEORY FOR FOREIGN-LANGUAGE TEACHING

Research in foreign language aptitude testing has disclosed at least three more or less independent types of abilities that play a role in controlling rate of learning. Phonetic coding ability is the ability to identify, and store in long-term memory, new language sounds. Grammatical sensitivity is the individual's awareness of grammatical functions and syntactic patterning. Inductive ability is the ability to notice and identify patterns of correspondence involving syntax or semantics. While it appears that these abilities are not easily modifiable, taking account of them in foreign language teaching may take the form of specific techniques in the diagnosis and remediation of learning problems. Application of these findings to two contrasting theories of second language acquisition is discussed. Les implications de la recherche sur les tests d'aptitude s et de la theorie psycholinguistique dans Venseignement d'une langue etrangere La recherche sur la capacite d'acquisition d'une langue etrangere a revele qu'il y a au moins trois habiletes plus ou moins independantes qui influencent la vitesse d'acquisition. L'habileto de codage phonetique est 1'habilete de reconnaitre et de stocker les sons d'une langue inconnue dans la memoire long terme. La sensibilite grammaticale est la conscience que l'individu possede des functions grammaticales et des structures syntactiques. L'habilete inductive est 1'habilete de remarquer et de reconnaitre des correspondances entre des structures syntactiques ou semantiques. La modification de ces habiletes n'est pas facile, mais Γόη peut en tenir compte dans 1'enseignement d'une langue etrangere en utilisant des methodes specifiques pour la diagnose et pour pallier aux difficultes d'apprentissage. L'auteur discute 1'application des resultats obtenus deux theories distinctes d'acquisition d'une langue Prangere. uccaedoeamenbcmx ucnbimanu cnoco nocmu u ncuxcmumeucmunecKo meopuu ΟΛΗ ooynenuH UHOcmpanHbix B o6jiacxH HcnbixaHHH cnocoGnocxH κ Hsyneimio HHocxpaHHbix H3biKOB o Hapy^KHJio no Kpa He Mepe xpn rana cnoco HOCxeii — ojiee HJIH Menee HesaBHCHMLix — , Koxopbie ynpaBJiHioT CTeneHbio bicrpOTbi myiemiiL Cnoco nocTb κ φoHeτHMecκoMy KOAnpOBaHHio Bbicrynaex y HH^HBHfla B BH^e ero cnoco nocTH κ OTO ^ecTBJieHHio H HaKonjiemno B flOJirocpoHHoii naMHTH ΗΟΒΜΧ H3biKOBbix 3ByKOB. HyBCTBHTenbHOCTb κ rpaMMaTHKe HBiweTCH SHaHHeM y ΗΗ^ΗΒΗ^ rpaMMaTjraecKHX φyHκ^Heή H CHHTaKCH^ecuHx CXCM. Cnoco nocrb κ ΗΗ^ΚΟΗΗ saxino^aex B Ce6e CnOCO HOCTb K BOCnpHHTHIO H OTOHCfleCTBUeHHIO COOTBeTCTBHO MQIKffy CHHxaKCH4ecKHMH HJIH ceMaHXHHecKHMH cxpyKxypaMH. OKasaJiocb, ΗΧΟ ΧΟΧΗ SXH cnoco HocxH HC Jiero BHAOHSMCHHIOXCH, BHHMaHHe »e KHHM πρκ o yneHHH HHOCXpaHHblX «SblKOB MO»CeX BbWBJIHXb OCO CHHbie MeXOAbI ΑΠΗ JieHe HblX Cpe^CXB ox npo6jieM B yne e H HX Anarno3a. ABXOP oocyac^aex npHMeHenne SXKX pesyjibXaXOB K AByM npOXHBOnOJIO HblM XCOpHHM θ6 OCBOeHHH ΒΧΟΡΟΓΟ H3bIKa.
Linear Constraints on Weight Representation for Generalized Learning of Multilayer Networks

In this article, we present a technique to improve the generalization ability of multilayer neural networks. The proposed method introduces linear constraints on weight representation based on the invariance natures of training targets. We propose a learning method that introduces effective linear constraints into an error function as a penalty term. Furthermore, introduction of such constraints leads to reduction of the VC dimension of neural networks. We show bounds on the VC dimension of the neural networks with such constraints. Finally, we demonstrate the effectiveness of the proposed method by some experiments.
Stability of data networks under an optimization-based bandwidth allocation

It is known that a data network may not be stable at the connection level under some unfair bandwidth allocation policies, even when the normal offered load condition is satisfied, i.e., the average traffic load at each link is less than its capacity. In this note, we show that, under the normal offered load condition, a data network is stable when the bandwidth of the network is allocated so as to maximize a class of general utility functions. Using the microscopic model proposed by Kelly (1997, 2001) for a transmission control protocol (TCP) congestion control algorithm, we argue that the bandwidth allocation in the network dominated by this algorithm can be modeled as our bandwidth allocation model, and hence that the network is stable under the normal offered load condition. This result may shed light on the stability issue of the Internet since the majority of its data traffic is dominated by the TCP.
Biological correlates of the Allais paradox - updated

We conducted a questionnaire study with student subjects to look for explicit correlations between selected biological characteristics of the subjects and manifestation of the Allais paradox in the pattern of their choices between sets of two pairs of risky prospects. We found that particular characteristics, such as gender, menstrual cycle, mother’s age at delivery, parenthood, second- to fourth-digit ratio, perceived negative life events, and emotional state, can be related to the paradox. Women,particularly when not menstruating, are less susceptible to the paradox. Those born to not-too-young mothers are also less prone to the paradox. The same holds true for men who have fathered children and had been exposed to high levels of prenatal testosterone, people who had experienced many negative life events, and those who were anxious, excited, aroused, happy, active, or fresh at the time of the experiment. Further, left-handers and atheists may be less inclined to display the paradox.
Detectability thresholds in networks with dynamic link and community structure

We study the inference of a model of temporal networks in which both communities and links keep memory of previous network state. By considering maximum likelihood inference from single snapshot observation of the network, we show that link persistence decreases the detectability threshold, preventing the inference of communities even when they are in principle strong enough, while community persistence tends to restore this possibility. Then we show that the inferred communities share a maximum overlap with those of a specific previous instant of time, corresponding to the maximum of a time-lagged assortativity parameter, and therefore they can be closer to those of the past than of the present. We analytically characterize these transitions as a function of the memory parameters of the model.
Integrating indoor mobility, object manipulation, and intuitive interaction for domestic service tasks

Domestic service tasks require three main skills from autonomous robots: robust navigation, mobile manipulation, and intuitive communication with the users. Most robot platforms, however, support only one or two of the above skills. In this paper we present Dynamaid, a new robot platform for research on domestic service applications. For robust navigation, Dynamaid has a base with four individually steerable differential wheel pairs, which allow omnidirectional motion. For mobile manipulation, Dynamaid is additionally equipped with two anthropomorphic arms that include a gripper, and with a trunk that can be lifted as well as twisted. For intuitive multimodal communication, the robot has a microphone, stereo cameras, and a movable head. Its humanoid upper body supports natural interaction. It can perceive persons in its environment, recognize and synthesize speech. We developed software for the tests of the RoboCup@Home competitions, which serve as benchmarks for domestic service robots. With Dynamaid and our communication robot Robotinho, our team Nimbro@Home took part in the RoboCup German Open 2009 and RoboCup 2009 competitions in which we came in second and third, respectively. We also won the innovation award for innovative robot design, empathic behaviors, and robot-robot cooperation.
Purification and Characterization of a Feruloyl Esterase from the Intestinal Bacterium Lactobacillus acidophilus

ABSTRACT Dietary ferulic acid (FA), a significant antioxidant substance, is currently the subject of extensive research. FA in cereals exists mainly as feruloylated sugar ester. To release FA from food matrices, it is necessary to cleave ester cross-linking by feruloyl esterase (FAE) (hydroxycinnamoyl esterase; EC 3.1.1.73). In the present study, the FAE from a human typical intestinal bacterium, Lactobacillus acidophilus, was isolated, purified, and characterized for the first time. The enzyme was purified in successive steps including hydrophobic interaction chromatography and anion-exchange chromatography. The purified FAE appeared as a single band in sodium dodecyl sulfate-polyacrylamide gel electrophoresis, with an apparent molecular mass of 36 kDa. It has optimum pH and temperature characteristics (5.6 and 37°C, respectively). The metal ions Cu2+ and Fe3+ (at a concentration of 5 mmol liter−1) inhibited FAE activity by 97.25 and 94.80%, respectively. Under optimum pH and temperature with 5-O-feruloyl-l-arabinofuranose (FAA) as a substrate, the enzyme exhibited a Km of 0.0953 mmol liter−1 and a Vmax of 86.27 mmol liter−1 min−1 mg−1 of protein. Furthermore, the N-terminal amino acid sequence of the purified FAE was found to be A R V E K P R K V I L V G D G A V G S T. The FAE released FA from O-(5-O-feruloyl-α-l-arabinofuranosyl)-(1→3)-O-β-d-xylopyranosyl-(1→4)-d-xylopyranose (FAXX) and FAA obtained from refined corn bran. Moreover, it released two times more FA from FAXX in the presence of added xylanase.
Local and circulating levels of adipocytokines in obese and normal weight individuals with chronic periodontitis.

BACKGROUND The aim of this study is to evaluate the local and circulating levels of adipocytokines (resistin, adiponectin, leptin, tumor necrosis factor [TNF]-α, and interleukin [IL]-6) in individuals who are obese and individuals who are normal weight (NW) with chronic periodontitis (CP). METHODS Periodontal and anthropometric examinations were performed. Based on these measurements, the individuals were divided into one of the following groups: NW non-periodontitis (NP) (NWNP; n = 20); NWCP (n = 20); obese NP (ONP; n = 18); and obese CP (OCP; n = 20). The levels of adipocytokines were evaluated in the serum and gingival crevicular fluid of shallow and deep sites by enzyme-linked immunosorbent assay. RESULTS In serum, resistin levels were higher whereas adiponectin levels were lower in periodontitis than in NP groups (P <0.05). The NWNP group presented the lowest serum leptin levels (P <0.05). The ONP and OCP groups demonstrated higher TNF-α levels in periodontal sites than the NWNP and NWCP groups (P <0.05). Serum levels of IL-6 (P = 0.04) and leptin (P = 0.01) were correlated with the OCP group, with odds ratios of 0.99 (95% confidence interval [CI]: -0.01 to -0.00) and 0.99 (95% CI: -0.00 to -0.00), respectively. CONCLUSIONS Periodontitis mainly influenced the circulating levels of resistin and adiponectin, whereas both obesity and periodontitis affected the circulating levels of leptin in favor of proinflammation. In addition, obesity upregulated the local levels of TNF-α.
Determining Implementation Expertise from Bug Reports

As developers work on a software product they accumulate expertise, including expertise about the code base of the software product. We call this type of expertise 'implementation expertise'. Knowing the set of developers who have implementation expertise for a software product has many important uses. This paper presents an empirical evaluation of two approaches to determining implementation expertise from the data in source and bug repositories. The expertise sets created by the approaches are compared to those provided by experts and evaluated using the measures of precision and recall. We found that both approaches are good at finding all of the appropriate developers, although they vary in how many false positives are returned.
Effect of Intrinsic and Extrinsic Motivation on the Project Success: An Empirical Investigation from Uncontrolled On-Going Projects of Pakistani Telecom & IT Industry

Identifying how motivation is participating significant role in open source projects in uncontrolled settings. This research has a great contribution by enlightening the fact how motivation affect the project success with interrelation of other factors such as HR practices, organizational culture and employee participation. This study is focusing on the element, how these motivational factors manipulate the employee participation leading to project success, and how organizational culture controls the subsequent motivations through effective HR approaches. Depiction on research theories of intrinsic and extrinsic motivation, a theoretical framework is developed that relates the factors that can lead to project success for uncontrolled environments for software development projects. The theoretical model is evaluated through the analysis of collected data from a longitudinal field study of software developing projects in Pakistan. The results reveal some key findings. Firstly, we found that intrinsic and extrinsic motivation both independently affects the project success. Being well paid encourages the employees to contribute positively towards their work. Similarly the intrinsic motivation enhances the motivational level emphasizing on internal interest that enhance the work ability. Surprisingly, there is no such fact is determined where intrinsic motivation is shrinkage due to extrinsic motivation. It is notified that extrinsic motivation enhances the intrinsic motivation at some level. Secondly both motivations affects on project success, if the organizational culture favors these factors in a positive way. Similarly developers motivation participation is also significantly affect the contribution level towards project success. Finally the HR practices have a vital role towards project success through the central role of implementing practices.
XPC branch‐point sequence mutations disrupt U2 snRNP binding, resulting in abnormal pre‐mRNA splicing in xeroderma pigmentosum patients

Mutations in two branch‐point sequences (BPS) in intron 3 of the XPC DNA repair gene affect pre‐mRNA splicing in association with xeroderma pigmentosum (XP) with many skin cancers (XP101TMA) or no skin cancer (XP72TMA), respectively. To investigate the mechanism of these abnormalities we now report that transfection of minigenes with these mutations revealed abnormal XPC pre‐mRNA splicing that mimicked pre‐mRNA splicing in the patients' cells. DNA oligonucleotide‐directed RNase H digestion demonstrated that mutations in these BPS disrupt U2 snRNP–BPS interaction. XP101TMA cells had no detectable XPC protein but XP72TMA had 29% of normal levels. A small amount of XPC protein was detected at sites of localized ultraviolet (UV)‐damaged DNA in XP72TMA cells which then recruited other nucleotide excision repair (NER) proteins. In contrast, XP101TMA cells had no detectable recruitment of XPC or other NER proteins. Post‐UV survival and photoproduct assays revealed greater reduction in DNA repair in XP101TMA cells than in XP72TMA. Thus mutations in XPC BPS resulted in disruption of U2 snRNP‐BPS interaction leading to abnormal pre‐mRNA splicing and reduced XPC protein. At the cellular level these changes were associated with features of reduced DNA repair including diminished NER protein recruitment, reduced post‐UV survival and impaired photoproduct removal. Hum Mutat 30:1–9, 2009. Published 2009 Wiley‐Liss, Inc.
Infinite structured support vector machines for speech recognition

Discriminative models, like support vector machines (SVMs), have been successfully applied to speech recognition and improved performance. A Bayesian non-parametric version of the SVM, the infinite SVM, improves on the SVM by allowing more flexible decision boundaries. However, like SVMs, infinite SVMs model each class separately, which restricts them to classifying one word at a time. A generalisation of the SVM is the structured SVM, whose classes can be sequences of words that share parameters. This paper studies a combination of Bayesian non-parametrics and structured models. One specific instance called infinite structured SVM is discussed in detail, which brings the advantages of the infinite SVM to continuous speech recognition.
Optimal preview control of the Nao biped robot using a UKF-based state observer

In this paper, an optimal preview controller for the Nao biped robot is developed based on a three-dimensional linear inverted pendulum model and zero moment point stability criterion. In order to estimate the unmeasurable state vector, an unscented Kalman filter state observer is proposed which guarantees robustness of the control loop through loop transfer recovery and provides asymptotic stability of the error covariance. This approach necessitates developing and utilizing forward and inverse kinematic analysis. Inverse kinematic relations are employed within the controller as an estimator of joint angles given positions of the zero moment point and center of mass trajectories. The results show effectiveness of the proposed preview controller and the observer scheme to achieve a stable walk.