Miracle-dz/UniFAR-FTUs huggingface dataset:
International Conference on Research and Innovation in Information Systems – 2013 ( ICRIIS ’ 13 ) A Method on Lexical Disambiguation in Distributed Heterogeneous Autonomous Database

Schema matching is a fundamental process in many database applications and its quality impacts the performance of such applications. However, finding semantic similarities among schema is a challenging issue in developing full automatic schema matching of distributed heterogeneous autonomous database. Lexical ambiguity is a pervasive phenomenon among these database schemas that prevent fully automatically matching process. Consequently, it is often hard to determine the correct semantic similarities between schemas without full understanding intend meaning associate with schema element name. Lexical ambiguity leads to semantic conflicts (homonym and synonym) on schema matching. Several approaches of schema matching have been proposed. However, these approaches are still limited as they does not disambiguate schema concept, while it just evaluates the possible meanings. Therefore, the aim of this paper is to propose a disambiguation method to eliminate ambiguity. To avoid semantic conflicts, a further enhance the results of schema matching is required to improve the usability of heterogeneous data sources. As work progress, future effort will develop full automatic schema matching and integration. Keywords-component; hetrogeneouce; databased; schema integration; schema matching, semantic conflicts, and lexical ambiguaty
Estimating the effect of context on QoE of audiovisual services: Laboratory vs. public places

Multimedia service providers and operators need tools that can estimate the quality of the services delivered to their end-customers. To this end, a variety of quality prediction models has been developed. The models are typically built and trained based on data acquired from user studies conducted in laboratories with precisely defined conditions. While laboratory originated data is accurate and reliable, the performance of Quality of Experience (QoE) models could be possibly further improved by taking into account the real context of use. Working towards that goal, in this paper, we compare results of a laboratory audiovisual quality subjective study and two smaller scale user studies conducted in public place. We also discuss our approach of enhancing the prediction accuracy with context-specific bias functions.
Teaching the Psychology of Engagement with Beauty

An undergraduate senior-level course, the psychology of beauty, taught within the positive psychology approach, was designed with the aim to increase state and trait levels of engagement with beauty among its students. The course was a service-learning course in which students were paired by the Area Agency on Aging with elders in the greater community as a practicum experience. They studied the moral beauty of the elders, learned from their wisdom, and aimed to fulfill social needs of the elders. Results suggested that in nearly every class session, students significantly increased their state levels of engagement with beauty and state levels of engagement with moral beauty during their visits to the elders’ homes, both with moderate to large effect sizes. Trait levels of engagement with beauty, however, did not increase over the span of 12 weeks.
Diethylhexyl Phthalates Is Associated with Insulin Resistance via Oxidative Stress in the Elderly: A Panel Study

Background Insulin resistance (IR) is believed to be the underlying mechanism of metabolic syndrome and type 2 diabetes mellitus (DM). Recently, a few studies have demonstrated that phthalates could cause oxidative stress which would contribute to the development of IR. Therefore, we evaluated whether exposure to phthalates affects IR, and oxidative stress is involved in the phthalates-IR pathway. Methods We recruited 560 elderly participants, and obtained blood and urine samples during repeated medical examinations. For the determination of phthalate exposure, we measured urinary levels of mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP) and mono-(2-ethyl-5-oxohexyl) phthalate (MEOHP) as metabolites of diethylhexyl phthalates (DEHP), and mono-n-butyl phthalate (MnBP) as a metabolite of di-butyl phthalate (DBP). Malondialdehyde (MDA), an oxidative stress biomarker, was also measured in urine samples. We measured serum levels of fasting glucose and insulin, and derived the homeostatic model assessment (HOMA) index to assess IR. A mixed-effect model and penalized regression spline were used to estimate the associations among phthalate metabolites, MDA, and IR. Results The molar sum of MEHHP and MEOHP (∑DEHP) were significantly associated with HOMA (β = 0.26, P = 0.040), and the association was apparent among participants with a history of DM (β = 0.88, P = 0.037) and among females (β = 0.30, P = 0.022). However, the relation between MnBP and HOMA was not found. When we evaluated whether oxidative stress is involved in increases of HOMA by ∑DEHP, MDA levels were significantly associated with increases of ∑DEHP (β = 0.11, P<0.001) and HOMA (β = 0.49, P = 0.049). Conclusions Our study results suggest that exposure to DEHP in the elderly population increases IR, which is related with oxidative stress, and that participants with a history of DM and females are more susceptible to DEHP exposure.
Insular Volume Reduction in Patients with Social Anxiety Disorder

Despite the fact that social anxiety disorder (SAD) is highly prevalent, there have been only a few structural imaging studies. Moreover, most of them reported about a volume reduction in amygdale, which plays a key role in the neural function of SAD. Insula is another region of interest. Its hyperactivity in regard to processing negative emotional information or interoceptive awareness has been detected in patients with SAD. Referring to these studies, we hypothesized that insular volumes might reduce in patients with SAD and made a comparison of insular volumes between 13 patients with SAD and 18 healthy controls with matched age and gender using voxel-based morphometry. As a result, we found a significant volume reduction in insula in the SAD group. Our results suggest that the patients with SAD might have an insular volume reduction apart from amygdala. Since insula plays a critical role in the pathology of SAD, more attention should be paid not only to functional study but also morphometrical study of insula.
LINE BROADENING IN FIELD METAL-POOR RED GIANT AND RED HORIZONTAL BRANCH STARS

We report 349 radial velocities for 45 metal-poor field red giant branch (RGB) and red horizontal branch (RHB) stars, with time coverage ranging from 1 to 21 years. We have identified one new spectroscopic binary, HD 4306, and one possible such system, HD 184711. We also provide 57 radial velocities for 11 of the 91 stars reported in our previous work. All but one of the 11 stars had been found to have variable radial velocities. New velocities for the long-period spectroscopic binaries BD−1 2582 and HD 108317 have extended the time coverage to 21.7 and 12.5 years, respectively, but in neither case have we yet completed a full orbital period. As was found in the previous study, radial velocity “jitter” is present in many of the most luminous stars. Excluding stars showing spectroscopic binary orbital motion, all 7 of the red giants with estimated MV values more luminous than −2.0 display jitter, as well as 3 of the 14 stars with −2.0 < MV ⩽ −1.4. We have also measured the line broadening in all the new spectra, using synthetic spectra as templates. Comparison with results from high-resolution and higher signal-to-noise (S/N) spectra employed by other workers shows good agreement down to line-broadening levels of 3 km s−1, well below our instrumental resolution of 8.5 km s−1. As the previous work demonstrated, the majority of the most luminous red giants show significant line broadening, as do many of the red horizontal branch stars, and we briefly discuss possible causes. The line broadening appears related to velocity jitter, in that both appear primarily among the highest luminosity red giants.
Research of P2P architecture based on cloud computing

As the next generation of computing architecture, cloud computing provides a variety of cloud services and has been used by more and more customers. As the access to the server is increasing, centralized computing architecture will produce bottlenecks, affect the quality of cloud computing services and bring the much inconvenience to users. This paper proposes a P2P Cloud architecture to improve on the cloud computing infrastructure which contains Center P2P Network and Side P2P Network. 1) Center P2P which replace Master of centralized architecture can avoid bottleneck of the centralized architecture, provide computing service to client using Center P2P Server and increase the number of customers to access the system.2)Side P2P Network which replace Slave of the centralized architecture would provide computing and storage capability, which can improve the transmission of data and the performance of the system effectively. Through the analysis and evaluation, this system has better availability and scalability.
Cognitive Expertise: An ALE Meta‐Analysis

Expert performance constitutes the endpoint of skill acquisition and is accompanied by widespread neuroplastic changes. To reveal common mechanisms of reorganization associated with long‐term expertise in a cognitive domain (mental calculation, chess, language, memory, music without motor involvement), we used activation likelihood estimation meta‐analysis and compared brain activation of experts to nonexperts. Twenty‐six studies matched inclusion criteria, most of which reported an increase and not a decrease of activation foci in experts. Increased activation occurred in the left rolandic operculum (OP 4) and left primary auditory cortex and in bilateral premotor cortex in studies that used auditory stimulation. In studies with visual stimulation, experts showed enhanced activation in the right inferior parietal cortex (area PGp) and the right lingual gyrus. Experts' brain activation patterns seem to be characterized by enhanced or additional activity in domain‐specific primary, association, and motor structures, confirming that learning is localized and very specialized. Hum Brain Mapp 37:262–272, 2016. © 2015 Wiley Periodicals, Inc.
Size Precedes View: Developmental Emergence of Invariant Object Representations in Lateral Occipital Complex

Although object perception involves encoding a wide variety of object properties (e.g., size, color, viewpoint), some properties are irrelevant for identifying the object. The key to successful object recognition is having an internal representation of the object identity that is insensitive to these properties while accurately representing important diagnostic features. Behavioral evidence indicates that the formation of these kinds of invariant object representations takes many years to develop. However, little research has investigated the developmental emergence of invariant object representations in the ventral visual processing stream, particularly in the lateral occipital complex (LOC) that is implicated in object processing in adults. Here, we used an fMR adaptation paradigm to evaluate age-related changes in the neural representation of objects within LOC across variations in size and viewpoint from childhood through early adulthood. We found a dissociation between the neural encoding of object size and object viewpoint within LOC: by age of 5–10 years, area LOC demonstrates adaptation across changes in size, but not viewpoint, suggesting that LOC responses are invariant to size variations, but that adaptation across changes in view is observed in LOC much later in development. Furthermore, activation in LOC was correlated with behavioral indicators of view invariance across the entire sample, such that greater adaptation was correlated with better recognition of objects across changes in viewpoint. We did not observe similar developmental differences within early visual cortex. These results indicate that LOC acquires the capacity to compute invariance specific to different sources of information at different time points over the course of development.
Estimating short-time period to break different types of chaotic modulation based secure communications

In recent years, chaotic attractors have been extensively used in the design of secure communication systems. One of the preferred ways of transmitting the information signal is binary chaotic modulation, in which a binary message modulates a parameter of the chaotic generator. This paper presents a method of attack based on estimating the short-time period of the ciphertext generated from the modulated chaotic attractor. By calculating and then filtering the short-time period of the transmitted signal it is possible to obtain the binary information signal with great accuracy without any knowledge of the parameters of the underlying chaotic system. This method is successfully applied to various secure communication systems proposed in the literature based on different chaotic attractors.
Spectroscopic monitoring of the transition phase in nova V4745 Sgr

We present a spectroscopic monitoring of the transient nova V4745 Sagittarii (Nova Sgr 2003 #1) covering ten months after its discovery. During this period the light curve showed a well expressed transient phase in the form of six rebrightenings, and the presented dataset is one of the best spectroscopic coverages of a classical nova during the transition phase. Low- and medium-resolution spectra revealed that the majority of spectral lines switched back to strong P-Cyg profiles during the mini-outbursts, similar to the spectra just after the major eruption. We interpret the observed phenomena as evidence for “echo-outbursts” resulting in episodes of secondary mass-ejections and propose that the transition phase in classical novae is driven by repetitive instabilities of the hydrogen shell burning on the surface of the white dwarf. From the available light curve data we estimate the absolute magnitude of the system of about $-8\fm3\pm0\fm5$. All spectrophotometric evidence point toward a very low ($E(B-V)<0\fm1$) interstellar reddening, leading to a rough distance estimate of V4745 Sgr ($9~{\rm kpc}
Using eCoaching to Improve Practice of Novice Teacher Educators

Coaching is becoming a more widely-accepted model of support for both preservice and inservice P-12 teachers. With the use of technology such as Bluetooth headsets and live streaming, coaching has become less intrusive and more “in the moment. ” In this case study, we describe the use of an e Coaching process for two PhD students who taught courses in a teacher preparation program of a higher education institution. The four-step process included (a) observing the PhD students teach, (b) collaboratively developing instructional goals with the coach, (c) providing performance feedback while coaching, and (d) reflecting on the process with the two PhD students who were teaching undergraduate courses. Findings indicate that e Coaching was well received and provided multiple opportunities for both PhD students and their coach to reflect on instruction as well as the e Coaching process. Implications for practice and future research are discussed.
A First Look at Web Browsing Predictions using DNS Logs

Despite several decades of research towards improving Web experience, users remain dissatisfied. Content Providers (CPs) make contracts with Content Delivery Networks (CDNs) to speed up webpage load times. CPs also make contracts with Online Advertisement providers (OAPs) to improve relevancy of Web content shown on the website. However, both CDNs and OAPs remain unaware of what Web content users will request next. As a result, CDNs cannot prefetch data from servers hosted by CPs, which prevents reductions in webpage load times. Also, OAPs display advertisements based on stale and incomplete Web browsing histories. In this paper, we present WebNext, a technique to analyze passively collected Domain Name System (DNS) logs for predicting users’ Web browsing behaviors. In our experience with WebNext on a large scale DNS dataset, we identified several sequences of websites that many users often tend to follow. Therefore, we suggest CDNs and OAPs to predict users’ Web browsing interests for improved quality of Web experience. keywords: Web, behavior, prediction, DNS, WebNext
Gonadotropin-releasing hormone regulates spine density via its regulatory role in hippocampal estrogen synthesis

Spine density in the hippocampus changes during the estrus cycle and is dependent on the activity of local aromatase, the final enzyme in estrogen synthesis. In view of the abundant gonadotropin-releasing hormone receptor (GnRH-R) messenger RNA expression in the hippocampus and the direct effect of GnRH on estradiol (E2) synthesis in gonadal cells, we asked whether GnRH serves as a regulator of hippocampal E2 synthesis. In hippocampal cultures, E2 synthesis, spine synapse density, and immunoreactivity of spinophilin, a reliable spine marker, are consistently up-regulated in a dose-dependent manner at low doses of GnRH but decrease at higher doses. GnRH is ineffective in the presence of GnRH antagonists or aromatase inhibitors. Conversely, GnRH-R expression increases after inhibition of hippocampal aromatase. As we found estrus cyclicity of spine density in the hippocampus but not in the neocortex and GnRH-R expression to be fivefold higher in the hippocampus compared with the neocortex, our data strongly suggest that estrus cycle–dependent synaptogenesis in the female hippocampus results from cyclic release of GnRH.
Technology Mapping for Heterogeneous FPGAs

Truly heterogenous FPGAs, those with two diierent kinds of logic block, don't exist in the commercial world in part because logic synthesis for them is diicult. The diiculty arises because FPGAs are prefabricated , and so the ratio of the number of each type of block is xed, which requires a constraint on the mapping that is not present for either homogenous FPGAs or ASICs. This paper presents a general approach for technology mapping into heterogenous lookup-table based FPGAs. It is applied both at the boolean network node level and at a more global level across a collection of mapped sub-circuits. This latter portion of the algorithm is optimal, and is applicable to any heterogenous FPGA, not simply those based on lookup tables. In comparison to a reasonably obvious alternative approach (adjusting the output of an homogenous mapping algorithm) the new algorithm achieves, depending on the heterogenous architecture, an average improvement of up to 48% over a large set of benchmark circuits.
Memory Self-Efficacy Beliefs Modulate Brain Activity when Encoding Real-World Future Intentions

Background While the use of different cognitive strategies when encoding episodic memory information has been extensively investigated, modulation of brain activity by memory self-efficacy beliefs has not been studied yet. Methodology/Principal Findings Sixteen young adults completed the prospective and retrospective metamemory questionnaire, providing individual subjective judgments of everyday memory function. The day after, using functional magnetic resonance imaging, the participants had to memorize real-world intentions (e.g., return a book to the library), which were performed later on in a virtual environment. Participants also performed offline cognitive tasks evaluating executive functions, working memory, and attention. During encoding, activity was found in medial temporal lobe, left prefrontal cortex, medial parietal regions, occipital areas, and regions involved in (pre)motor processes. Based on results from the questionnaire, the group was split into low and high memory self-efficacy believers. Comparison of encoding-related brain activity between the 2 groups revealed that the low memory self-efficacy believers activated more the hippocampus bilaterally, right posterior parahippocampal cortex, precuneus, and left lateral temporal cortex. By contrast, more activity was found in dorsal anterior cingulate gyrus for the high-memory believers. In addition, the low-memory believers performed more poorly at feature binding and (at trend) manipulating visuospatial information in working memory. Conclusion/Significance Overall, these findings indicate that memory self-efficacy beliefs modulate brain activity during intentional encoding. Low memory self-efficacy believers activated more brain areas involved in visuospatial operations such as the hippocampus. Possibly, this increase reflects attempts to compensate for poor performance of certain neurocognitive processes, such as feature binding. By contrast, high-memory believers seemed to rely more on executive-like processes involved in cognitive control.
STM2209-STM2208 (opvAB): A Phase Variation Locus of Salmonella enterica Involved in Control of O-Antigen Chain Length

STM2209 and STM2208 are contiguous loci annotated as putative protein-coding genes in the chromosome of Salmonella enterica. Lack of homologs in related Enterobacteria and low G+C content suggest that S. enterica may have acquired STM2209-STM2208 by horizontal transfer. STM2209 and STM2208 are co-transcribed from a promoter upstream STM2209, and their products are inner (cytoplasmic) membrane proteins. Analysis with the bacterial adenylate cyclase two-hybrid system suggests that STM2209 and STM2208 may interact. Expression of STM2209-STM2208 is subjected to phase variation in wild type Salmonella enterica serovar Typhimurium. Switching frequencies in LB medium are 6.1×10−5 (OFF→ON) and 3.7×10−2 (ON→OFF) per cell and generation. Lack of DNA adenine methylation locks STM2209-STM2208 in the ON state, and lack of the LysR-type factor OxyR locks STM2209-STM2208 in the OFF state. OxyR-dependent activation of STM2209-STM2208 expression is independent of the oxidation state of OxyR. Salmonella cultures locked in the ON state show alteration of O-antigen length in the lipopolysaccharide, reduced absorption of bacteriophage P22, impaired resistance to serum, and reduced proliferation in macrophages. Phenotypic heterogeneity generated by STM2209-STM2208 phase variation may thus provide defense against phages. In turn, formation of a subpopulation unable to proliferate in macrophages may restrain Salmonella spread in animal organs, potentially contributing to successful infection.
Corpora of latin american Spanish for research in prosody and synthesis

The present article describes the creation, labelling and main characteristics of a corpus of spoken Latin American Spanish. The corpus was collected with several objectives in mind: a) to fulfill our own research needs in the study of Latin American Spanish prosodic phenomena, where the absence of available corpora has already been noticed [1][6], b) to be able to experiment with prosodic models used in speech synthesis and c) to make it available to the community of researchers.
Adaptive Power Control MAC in Wireless Ad Hoc Networks

In this letter, we suggest APMAC (Adaptive Power Control MAC) for wireless ad hoc networks. APMAC is based on the single channel environment and improves the throughput and the energy efficiency simultaneously. Furthermore, the APMAC prevents the unfair channel starvation among the transmission pairs. We verify the performance of the APMAC through simulations.