Miracle-dz/UniFAR-FTUs huggingface dataset:
FUZZY -BASED ARCHITECTURE TO IMPLEMENT SERVICE SELECTION ADAPTATION STRATEGY

One of the main requirements in service based applications is runtime adaptation to changes that occur in business, user, environment, and computational contexts. Changes in contexts lead to QOS degrade. Continues adaptation mechanism and strategies are required to stay service based applications(SBA) in safe state. In this paper a framework for runtime adaptation in service based application isintroduced. It checks user requirements change continuously and dynamically adopts architecture model. Also it checks providers QOS attributes continuously and if adaptation requirement is triggered, runs service selection adaptation strategy to satisfy user preferences. Thusit is a context aware and automatically adaptable framework for SBA applications. Wehave implemented a fuzzy based system for web service selection unit. Due to ambiguity of context’s data and cross-cutting effects of quality of services, using fuzzy would result an optimised decision. Finally we illustrated that using of it has a good performance for web service based applications.
A STUDY OF THE ACTION CURRENTS OF NERVE WITH THE CATHODE RAY OSCILLOGRAPH

The instruments which have been used heretofore for the observation of nerve action currents have been galvanometers of the moving coil or magnet type with or without the aid of a rheotome, the capillary electrometer and the string galvanometer. Each of these instruments possesses considerable inertia. The slower galvanometers are unaffected by single action currents and give a sustained deflection when the action currents are monophasic and rapidly repeated. The size of the deflection is the mean value of the individual waves which in turn depends upon their shape and the rate at which they are repeated. As the former is not known the deflections are mainly of qualitative significance. All of these instruments are governed by the laws of forced vibration with damping. The differential equation expressing this law is
Evaluating the Effectiveness of Three Physical Activity Visualizations — How People Perform vs . Perceive

In this paper, two different types of personal physical activity data visualizations – a Circular Ringmap and a Virtual Pet visualization – are proposed and compared to a widely used commercial approach, the FitBit bar chart. A study was conducted to evaluate the effectiveness of the three visualizations based on participants’ task performance and self-reported experience. The results showed that in objective terms, there were not significant differences in participants’ time spent on the task and their error rates across the three visualizations. However, in subjective terms, participants did perceive the visualizations differently. The pragmatic bar chart won on several attributes (readability, comprehension, and awareness), and the Virtual Pet visualization triggered an emotional response (empathy). Although the Circular Ringmap visualization helped participants with identifying activity patterns, it was not perceived to be intuitive or helpful overall. From this study, first, we learned that how people perform a task does not equal how participants perceive. Second, decisions in designing specific visualizations related to personal data should depend each individual goals and contexts. Last, the role of emotion, which was triggered by the design of visualizations, is discussed.
Completion Reports Title Application of acoustic pressure waves in aquifer remediation and mobilization of entrapped organic liquids Permalink

The effect of acoustic waves on the transport of a conservative tracer and the dissolution of dense nonaqueous phase liquids (DNAPLs) in a water saturated column packed with glass beads was investigated. It was observed from the experimental data that the addition of acoustic waves, in the frequency range between 60 to 245 Hz, to a steady background pressure gradient, enhances solute transport compared to the base case consisting of only a background pressure gradient. Furthermore, it was found that the effective velocity of the solute is approximately inversely proportional to the frequency of the acoustic wave. In addition, acoustic waves with pressure amplitudes ranging from 0 to 1625 Pa and frequencies ranging from 0 to 285 Hz were observed to increase the effluent dissolved trichloroethene (TCE) concentration, where TCE was used as the DNAPL, compared to the case where dissolution without acoustic waves was monitored. The increased effluent dissolved TCE concentration is attributed to an increase in mass flux from the dissolving TCE blobs due to increased effective pore water velocity caused by acoustic waves.
EFFECTS OF DIFFERENT HEAT TREATMENTS ON LIPID QUALITY OF STRIPED CATFISH ( PANGASIUS HYPOPHTHALMUS )

Background. Rosemary (Rosmarinus officinalis L.) extracts have a potent antioxidant and antibacterial activity and are widely used in the food industry. The effect of added rosemary preparations on the microbiological quality and process of lipid oxidation of model pork batters, immediately after preparation (“0”) and 1, 3 and 7 days of chillstorage (4-6°C) was analysed in the study. Material and methods. Experiments were conducted with three types of rosemary preparations, i.e.: dried spice, essential oil and a commercial preparation (TasteGuard P). The experimental material consisted of meat batter produced from porcine musculus longissimus dorsi and water. Microbiological examinations covered determinations of the total count of mesophilic aerobic microorganisms, psychrophilic bacteria, coliforms and enterococci. In turn, chemical analyses involved determination of the TBARS value. Results. The rosemary preparations did not exhibit either antibacterial properties against aerobic mesophilic or psychrophilic bacteria. The essential rosemary oil was observed to inhibit the growth of coliform bacteria and enterococci, whereas the dried spice examined was found to increase the counts of aerobic mesophilic bacteria, coliforms and enterococci. None of the rosemary preparations terminated the lipid oxidation process. Conclusions. The results obtained in this study point to the necessity of continuing investigations to determine the dose of rosemary preparations that would inhibit the growth of microflora being the most frequent cause of raw materials and products spoilage and, simultaneously, restrict oxidation of their lipids.
Lactobacillus plantarum YS2 reduces oxazolone-induced colitis in BALB/c mice

By the animal model, the in vitro experiment anti-colitis effect of Lactobacillus plantarum YS2 (LPYS2) was measured. The BALB/c mice were induced colitis by oxazolone, and the serum and colon tissue levels were determined using kits and RT-PCR assay. The results showed that the DAI score of LP-YS2 treated mice was lower than control group. And the colon length and ratio of colon weight/colon length in colitis mice were also could be raised by LP-YS2 treatment. The MPO, NO, MDA colon tissue levels in LP-YS2 treated mice were higher than mice in control group, but GSH level was lower than control group mice. The cytokine levels of IL-2 in LP-YS2 treated mice was lower than mice in control group, but IL-10 level was higher than mice in control group. The nNOS, eNOS, c-Kit, SCF mRNA expressions in colon tissue of LP-YS2 treated mice were stronger than those in mice of control group, and iNOS, IL-8, CXCR2 expressions were weaker than those in mice of control group. From these results, LP-YS2 could be used as a probiotics which has anti-colitis effects.
AdaptiveConsensusOutputRegulation ofAClass ofNonlinear Systemswith UnknownHigh-FrequencyGain ?

This paper deals with adaptive consensus output regulation of a class of network-connected nonlinear systems with completely unknown parameters, including the high frequency gains of the subsystems. The subsystems may have different dynamics, as long as the relative degrees are the same. A new type of Nussbaum gain is proposed to deal with adaptive consensus control of network-connected systems without any knowledge of the high frequency gains. Adaptive laws and internal models are designed for the subsystems to deal with unknown parameters for tracking trajectories and unknown system parameters. In the control design, only the relative information of subsystem outputs are used, provided that regulation error of one of the subsystems is available. The proposed control inputs and the adaptive laws are decentralized. If the relative degree is one, only the relative subsystem outputs are exchanged. For the case of higher relative degrees, the nonlinear model structure of the subsystems is exploited for backstepping control design, and some variables generated by the subsystem controllers are exchanged among the subsystems in the neighbourhood defined by the connection graph.
Rapid Method for In vitro Multiplication of Hypericin Rich Shoots of Hypericum perforatum

Hypericum perforatum is a high value medicinal herb possessing a broad range of pharmacological activities. These medicinal properties are attributed to the presence of major compound hypericin. In current study, the effect of different growth hormones and media combinations along with various growth parameters including light and temperature were analyzed for hypericin production in in vitro grown shoot cultures of H. perforatum. Rapid method for micropropagation with an average of 36.3 shoots per explant in 5-6 days was developed. Highest hypericin content of 0.119 µg/mg was detected in shoots grown on MS medium containing sucrose (3%), IBA (3mg/l), KN (1mg/l) and agar (0.9%) at 25±2 °C under light conditions after two months of incubation. In addition, sustention of in vitro grown shoots after hardening under greenhouse conditions was also observed showing comparable hypericin content in hardened and field grown plants after 2 years. Therefore, current study reports the rapid method for in vitro multiplication for hypericin rich shoots of H. perforatum under optimized light and temperature conditions. To the best of our knowledge, this is the first report on comparative analysis of hypericin production in hardened and field grown shoots of H. perforatum. Hence, the outcome is an endeavor to meet the increasing industrial demands by providing quality rich raw material using tissue culture techniques.
The impact of trade facilitation factors on South Africa's exports to a selection of African countries

Economic growth can be enhanced through increased trade among countries, provided the correct institutional structures are in place. A country's trade is dependent not only on its own trade facilitation reforms but also on those of the trading partners. This paper, using an augmented gravity model, examines trade facilitation factors that impact on South Africa's exports to other selected African countries. The results of the estimation reveal the following. An improvement in the customs environment within the importing country provides the largest gain in terms of increasing trade flows, followed by the regulatory environment and domestic infrastructure. Furthermore, adjacency and common language impact positively on South African exports, while distance between countries impacts negatively on it. Being part of the Southern African Development Community is also enhancing exports from South Africa, compared with being part of the East African Community.
FHCC: A SOFT HIERARCHICAL CLUSTERING APPROACH FOR COLLABORATIVE FILTERING RECOMMENDATION

Recommendation becomes a mainstream feature in nowadays e-commerce because of its significant contributions in promoting revenue and customer satisfaction. Given hundreds of millions of user activity logs and product items, accurate and efficient recommendation is a challenging computational task. This paper introduces a new soft hierarchical clustering algorithm - Fuzzy Hierarchical Co-clustering (FHCC) algorithm, and applies this algorithm to detect user-product joint groups from users’ behavior data for collaborative filtering recommendation. Via FHCC, complex relations among different data sources can be analyzed and understood comprehensively. Besides, FHCC is able to adapt to different types of applications according to the accessibility of data sources by carefully adjust the weights of different data sources. Experimental evaluations are performed on a benchmark rating dataset to extract user-product co-clusters. The results show that our proposed approach provide more meaningful recommendation results, and outperforms existing item-based and user-based collaborative filtering recommendations in terms of accuracy and ranked position.
Carbon Nanotube Embedded Multi-Functional Polymer Nanocomposites

Polymer nanocomposites represent a new alternative to conventionally filled polymers which have significant commercial potential. Polymer nanocomposites are a class of materi‐ als in which nanometer scaled inorganic nanomaterials are dispersed in an organic polymer matrix in order to improve the structures and properties of the polymers effectively. An ad‐ vanced morphologies and improved properties are expected from the polymer nanocompo‐ site materials due to the synergetic effect of the comprising components which could not be obtained from the individual materials. The incorporation of a small amount of inorganic materials such as metal nanoparticles, carbon nanotubes (CNTs), clay into the polymer ma‐ trix significantly improve the performance of the polymer materials due to their extraordi‐ nary properties and hence polymer nanocomposites have a lot of applications depending upon the inorganic materials present in the polymers [34; 41; 58; 63].
Ambiguity, Risk and Earthquake Insurance Premiums: An Empirical Analysis

Synopsis Ambiguity of insurance payment in earthquake insurance can be one of main reasons of low purchase rate. We empirically investigate the influence of the ambiguity on the decision to buy hypothetical earthquake insurance and the relationship with individual characteristics based on MEU model using questionnaire data. The main results of this paper are summarized as follows. First, respondent’s preferences to the insurance with 1, 5, and 10% unreimbursement risk are generally inconsistent with expected utility theory. Second, respondents demanded more than 50% reduction in premium to offset each unreimbursement risk. Third, the ambiguity premium is larger in men who purchase earthquake insurance, have never received insurance payment, and distrust insurance companies than each correspondents, and increases with age, education level.
EXPLORATION OVER A BINARY MASK

To the best of our knowledge, the issues of automatic detection of music plagiarism have never been addressed before. This paper presents the design of an Automatic Music Melody Plagiarism Detection (AMMPD) method to detect and locate the possible plagiarism in music melodies. The key contribution of the work is an algorithm proposed to address the challenging issues encountered in the AMMPD problem, including (1) the inexact matching of noisy and inaccurate pitches of music audio and (2) the fast detection and positioning of similar subsegments between suspicious music audio. The major novelty of the proposed method is that we address the above two issues in temporal domain by means of a novel path finding approach on a binarized 2-D bit mask in spatial domain. In fact, the proposed AMMPD method can not only identify the similar pieces inside two suspicious music melodies, but also retrieve music audio of similar melodies from a music database given a humming or singing query. Experiments have been conducted to assess the overall performance and examine the effects of various parameters introduced in the proposed method.
Stochastic dilemmas: foundations and applications

OF THE DISSERTATION STOCHASTIC DILEMMAS: FOUNDATIONS AND APPLICATIONS by SERGIU GOSCHIN Dissertation Director: Michael L. Littman and Haym Hirsh One of the significant challenges when solving optimization problems is addressing possible inaccurate or inconsistent function evaluations. Surprisingly and interestingly, this problem is far from trivial even in one of the most basic possible settings: evaluating which of two options is better when the values of the two options are random variables (a stochastic dilemma). Problems in this space have often been studied in the statistics, operations research and computer-science communities under the name of ”multi-armed bandits”. While most of the previous work has focused on dealing with noise in an online setting, in this dissertation, I will focus on offline optimization where the goal is to return a reasonable solution with high probability using a finite number of samples. I will discuss a set of problem settings of increasing complexity that allow one to derive formal algorithmic bounds. I will point to and discuss interesting connections between stochastic optimization and noisy data
Reports of the Death of the Individual Difference Approach to Implicit Social Cognition May Be Greatly Exaggerated: A Commentary on Payne, Vuletich, and Lundberg

The sequential priming and lexical decision paradigms (Meyer & Schvaneveldt, 1971; Neely, 1976) first used to investigate the implicit social mind during the 1980s were firmly rooted in the study of learning and memory in experimental cognitive psychology and, as such, focused on the interpretation of group means to understand fundamental principles of mental processes. Researchers using the same methods to explore social cognition likewise employed these measures in withinparticipant designs to provide evidence for differential average associations between social categories (e.g., White vs. Black) and attributes (e.g., good vs. bad). For instance, Gaertner and McLaughlin (1983) demonstrated that participants were, on average, faster in making lexical decisions involving positive words following White primes. Fazio, Sanbonmatsu, Powell, and Kardes (1986) observed, on average, shorter response latencies to positive words following White primes and to negative words following Black primes. Dovidio, Evans, and Tyler (1986) showed that priming participants with the categories White or Black, on average, facilitated responding to traits stereotypically associated with the respective categories (also see Devine, 1989). The effects produced in experiments of this kind were small but highly robust and replicable across a range of different target groups and procedural variations (e.g., Banaji & Hardin, 1996; Blair & Banaji, 1996; Fazio, Jackson, Dunton, & Williams, 1995; Glaser & Banaji, 1999; Perdue & Gurtman, 1990; Wittenbrink, Judd, & Park, 1997, 2001).
AsymSim: meta path-based similarity with asymmetric relations

Peer similarity search is a deceptively complex problem in information network analysis. Past research has primarily focused on similarity search in homogeneous networks, but real world data is often best represented using heterogeneous information networks, with multiple node and relation types carrying real-world semantics. Recent work addresses similarity search in heterogeneous networks by introducing the concept of meta paths, or paths that connect object types via a sequence of relations. These meta path-based similarity measures can capture the subtlety of peer similarity for paths containing symmetric edges, but real data contains asymmetric relations that play a significant role in peer similarity semantics, for instance citations in bibliographic networks. In this paper, we revisit the problem of peer similarity search among objects of the same type in heterogeneous information networks. We present an efficient meta path-based peer similarity measure, AsymSim, which both captures the semantics of peer similarity and remains sensitive to asymmetric relations in the network, allowing us to extract deeper peer semantics. We discuss how to efficiently handle AsymSim queries online and perform experiments on real DBLP data to verify the effectiveness of our proposed measure.
The Short- and Long-Term Impact of an Assortment Reduction on Category Sales

In a collaborative study with a major Dutch retailer, the authors assess the short- and long-term effects of a 25% item reduction on category sales. On an aggregate level, a major assortment reduction can lead to substantive short-term category sales losses but only a weak negative long-term category sales effect. Short-term category sales losses are caused mainly by fewer category purchases by former buyers of delisted detergent items. However, the results also show that the assortment reduction attracts new category buyers. These new buyers partially offset the sales losses among former buyers of the delisted items. The collection of supplemental process data on assortment perceptions and actual search time in the test stores before and after the assortment reduction provides evidence that delisting results in an increase in perceived search efficiency and a decrease in actual search time.
Comparative compressibility and structural behavior of spinel MgAl2O4 at high pressures: The independency on the degree of cation order

Abstract The equation of state and the crystal structure evolution with pressure were determined for two single crystals of pure natural MgAl2O4 spinels with different degrees of order. The two samples studied were cut from a larger single crystal and one of them was experimentally disordered at high temperature. The two crystals, showing an inversion parameter x of 0.27 and 0.15 at ambient conditions, were loaded together in a diamond anvil cell and their unit-cell edge was measured up to about 7.5 GPa at 14 different pressures. The unit-cell volume, V0, the bulk modulus, KT0, and its first pressure derivative, K′, were simultaneously refined using a third-order Birch-Murnaghan equation of state, giving the following coefficients: V0 = 529.32(2) Å3, KT0 = 193(1) GPa, K′ = 5.6(3) for the ordered sample and V0 = 528.39(2) Å3, KT0 = 192(1) GPa, K′ = 5.4(3) for the disordered one. Complete intensity data were collected at 0, 0.44, 2.92, 7.34, and 8.03 GPa in a separate experiment. For the ordered and disordered samples the oxygen atomic coordinate u remains practically unchanged inside the investigated pressure range with an average value of 0.2633(5) and 0.2614(2), respectively. As a consequence, the polyhedral compressibilities are similar and are not influenced by the Mg/Al distribution over the two crystallographic sites. This also suggests that pressure has little or no influence on the degree of order in the MgAl2O4 spinel.
Clinical Study on the Oral Health of Québec Elementary School Students in 2012-2013

For the first time in Québec, ÉCSBQ 2012-2013 used a new visual assessment system, making it possible to study not only non-reversible dental caries, which have been the focus of attention to date, but also reversible dental caries. Reversible dental caries, also known as non-obvious dental caries, are lesions that are limited to the early stages of the disease and that can be reversed through preventive action. As for non-reversible dental caries, they occur in three forms: untreated later-stage lesions (also called obvious dental caries), teeth that have been extracted due to caries and fillings on teeth due to caries.
LIMITS OF ALGEBRAS WITH SHIFTING AND A RELATIONSHIP BETWEEN THE MOD TWO STEENROD AND DYER-LASHOF ALGEBRAS

We provide a construction, rened from an inverse limit, that produces the mod 2 Steenrod and Dyer-Lashof algebras from each other. In fact, the construction relates various subal- gebras and quotients of the universal Steenrod algebra of opera- tions for H1-ring spectra. We also describe how the construction transforms the axiomatic properties of homogeneous pre-Koszul algebras and Poincar e-Birkho-Witt algebras.