Miracle-dz/UniFAR-FTUs huggingface dataset:
Parallel Noisy Optimization in Front of Simulators : Optimism , Pessimism , Repetitions Population Control

We investigate parallel optimization methods for direct policy search, in the case of real-world problems originating in games, using noisy game simulator, with noise originating in the game design or in the multiplicity and randomization of possible players. We consider optimistic, average and pessimistic surrogates of the real fitness value, distinguishing exploration and exploitation. We conclude that (i) population-control methods, recently published in noisy optimization, perform greatly for continuous parameters but deceptive noise models exist (ii) uniform mixing of mutation rates combined with optimism in front of uncertainty performs greatly in the case of categorical unordered parameters or in front of those deceptive noise models in continuous domains (iii) the method of seeds provides easy significant improvements though, usually, it does not scale up with the training computational power.
Title Follow the liar : The effects of adult lies on children ' s honesty Permalink

Recent research shows that most adults admit they lie to children. We also know that children learn through modeling and imitation. To date there are no published studies that examine whether lying to children has an effect on children’s honesty. We aimed to bridge the gap in this literature by examining the effects of adults’ lies on elementary and preschool-aged children’s behavior using a modified temptation resistance paradigm, in which children are tempted to peek at a toy they have been told not to look at, and later given a chance to either admit peeking, or try to conceal their transgression by lying. Prior to being tested, half of the children were told a lie and half were not. We then measured both cheating (peeking) and lie-telling behaviors. We hypothesized that lying to a child would increase the likelihood that they would both peek at the toy and lie about having done so. Results showed that school-age children were more likely to peek if they had been lied to, and were also more likely to lie about peeking. In contrast with the school-age children, there was no difference in peeking or lying for preschoolers who were and were not lied to. These results have important implications for parenting and educational settings.
Live Execution Time Visualization of Component-based Software Systems

With the increasing complexity of software, the development of component-based software system gains more attention. By encapsulating the functionality of certain parts of the system, the complexity can be contained. However, the performance of such software systems depends on the runtime usage and the architecture of the system. As a result, the demand on tools which facilitate the performance analysis and optimization grows continuously. In this thesis we present an approach which allows to monitor the execution of component-based software systems and to visualize the results live at the runtime of the monitored system. To achieve this, the measured values are aggregated to derive the execution time of each component. Afterwards, by applying a filter, only certain time intervals are included in the visualization. One remaining step toward the visualization is the calculation of suitable values by applying different metrics, which is performed in a loop to continuously provide an updated visualization. This approach allows to optimize the system within the development process, as any delay between the execution and analysis is eliminated. One further contribution are two graphical notations which allow to visualize certain execution aspects. To demonstrate the feasibility of our approach, we provide an implementation of it as an eclipse plug-in which can be used to analyze applications written in Java.
Study of Soil Loss in Main Wadis of South Sinai

Universal Soil Loss equation (USLE) is a powerful tool that is widely used by conservationists in the Unites States and many foreign countries, it substantiated the usefulness and validity of (USLE) empirical erosion model for this purpose. It is also applicable to non-agricultural conditions such as construction sites. In this work, we need to predict the amount of soil loss occurs through the main wadis in South Sinai due to the flash floods occurs in this region by predicting the appropriate values for the (USLE) six factors like rainfall drop erosivity (R), slope steepness (S), slope length (L), soil erodibility (K), Crop management factor (C) and Support Practice Factor (P), using Geographic Information System (GIS) tools to facilitate the numerical computation for the (USLE) erosion model factors by using raster calculator algorithm based on remote sensing data. Global Precipitation Climatology Centre (GPCC) daily precipitation data used to estimate the rainfall drop erosivity (R) for a storm event occurs in twenty fifth of October two thousand and fifteen, where a field survey measurement for sediment loss volumes accumulated upstream two dams located on wadi watir to be used as a calibrated values for our model results, also the geological, morphological and land use remote sensing data used in estimating the other factors for our study area. The results estimated for soil loss volumes accumulated upstream the two dams are 10181.27 m and 9926.068 m, while the field measurement volumes are 7440 m and 8478 m respectively. Thus, the calibration factors range between 0.73 to 0.85 for the sediments values results from the USLE model which should be taken into consideration. The present results provide a vital database to control soil erosion which effect on the ecosystem and the effect of control structures constructed on the main wadis on the sediments which arrive to shorelines.
Task Scheduling Optimization in Cloud Computing Using Multi-Objective Evolutionary Algorithms With User-inthe-Loop

Cloud Computing platforms provide the supply of computing resources on the basis of demand. The optimization of a task workflow in cloud environments aims at reducing the overall execution time while consuming the least amount of cloud resources. Choosing a certain workflow from a number of competing schedule methods for Pareto efficient solutions can be a complex and confusing task for the cloud’s end user. We used two types of workflow. The first workflow is a balanced structure as Montage, the second workflow is a CyberShake and the structure is not balanced. Those data types of workflows provided by CloudSim [15] tool. The User-in-the-Loop (UIL) aims at enabling the user to interact with and guide the algorithmic search. This study presents a multi-objective improvement with UIL approach to Cloud Workflow Optimization. In addition to the overall objective of minimizing the total execution time, we seek to minimize the runtime for each Virtual Machine (VM) and minimize the number of VMs utilized in a particular schedule. In comparison to the existing workflow planning algorithms, we demonstrate the advantage of this study approach, which allows the decision maker to save on cloud resources without detriment to the overall runtime. In this study, we utilize jMetal [23] for the wide range of metaheuristic algorithms that are implemented in it, and CloudSim [15] for its cloud simulation capability. The goal is to set the tasks workflow and their resources allocation while enabling the user to interact to focus the search around the user preferences. The results have shown that the evolutionary algorithms are able to outperform existing algorithms. The user-in-the-loop process is able to guide the search in order to find the best optimal solution among alternative solutions available in the search space. The evolutionary algorithms are able to execute tasks in the cloud environment with a minimum number of machines, hence, the cost will be reduced too in cloud environments. The evolutionary algorithms are able to balance the executing process of tasks on machines too, which means the task will be distributed in the cloud with minimum costs of resource on those machines.
OVR : a novel architecture for voice-based applications

Despite the inherent limitation of accessing information serially, voice applications are increasingly growing in popularity as computing technologies advance. This is a positive development, because voice communication o ers a number of bene ts over other forms of communication. For example, voice may be better for delivering services to users whose eyes and hands may be engaged in other activities (e.g. driving) or to semi-literate or illiterate users. This thesis proposes a knowledge based architecture for building voice applications to help reduce the limitations of serial access to information. The proposed architecture, called OVR (Ontologies, VoiceXML and Reasoners), uses a rich backend that represents knowledge via ontologies and utilises reasoning engines to reason with it, in order to generate intelligent behaviour. Ontologies were chosen over other knowledge representation formalisms because of their expressivity and executable format, and because current trends suggest a general shift towards the use of ontologies in many systems used for information storing and sharing. For the frontend, this architecture uses VoiceXML, the emerging, and de facto standard for voice automated applications. A functional prototype was built for an initial validation of the architecture. The system is a simple voice application to help locate information about service providers that o er HIV (Human Immunode ciency Virus) testing. We called this implementation HTLS (HIV Testing Locator System). The functional prototype was implemented using a number of technologies. OWL API, a Java interface designed to facilitate manipulation of ontologies authored in OWL was used to build a customised query interface for HTLS. Pellet reasoner was used for supporting queries to the knowledge base and Drools (JBoss rule engine) was used for processing dialog rules. VXI was used as the VoiceXML browser and an experimental softswitch called iLanga as the bridge to the telephony system. (At the heart of iLanga is Asterisk, a well known PBX-in-a-box.) HTLS behaved properly under system testing, providing the sought initial validation of OVR.
upramodular Nature of GRIP 1 Revealed by the tructure of Its PDZ 12 Tandem in Complex ith the Carboxyl Tail of Fras 1

022-2836/$ see front matter © 2007 Els he scaffold protein GRIP1 (glutamate receptor interacting protein 1) binds o and regulates both the trafficking and membrane organization of a large umber of transmembrane proteins. Mutation of GRIP1 in mice displays ssentially the same phenotype of the mutations of Fras1 or Frem2, which re the animal models of the human genetic disorder Fraser syndrome. owever, the molecular basis governing the interaction between GRIP1 and ras1/Frem2 is unknown. Here, we show that interaction between Fras1 nd GRIP1 requires the first two PDZ domains (PDZ1 and PDZ2) to be onnected in tandem, as the folding of PDZ1 strictly depends on the ovalent attachment of PDZ2. The crystal structure of GRIP1 PDZ12 in omplex with the Fras1 C-terminal peptide reveals that the PDZ12 tandem orms a supramodule in which only the peptide-binding groove of PDZ1 is ound with the Fras1 peptide. The GRIP1 PDZ12/Fras1 peptide complex ot only provides a mechanistic explanation of the link between GRIP1 and he Fraser syndrome but may also serve as a foundation for searching for otential mutations in GRIP1 that could lead to the Fraser syndrome. © 2007 Elsevier Ltd. All rights reserved.
Personality Traits Recognition in Literary Texts

Interesting stories often are built around interesting characters. Finding and detailing what makes an interesting character is a real challenge, but certainly a significant cue is the character personality traits. Our exploratory work tests the adaptability of the current personality traits theories to literal characters, focusing on the analysis of utterances in theatre scripts. And, at the opposite, we try to find significant traits for interesting characters. The preliminary results demonstrate that our approach is reasonable. Using machine learning for gaining insight into the personality traits of fictional characters can make sense.
THE CHEMICAL CONSTITUENTS FROM THE FRUITS OF Johannesteijsmannia altifrons AND ANTIBACTERIAL ACTIVITY

Isolation on the hexane extract of the fruits of Johannesteijsmannia altifrons by vacuum liquid and radial chromatography yielded three known compounds namely β-sitosterol, γ-taraxasterol and stigmasterol. Their structures were determined using one-dimensional and two-dimensional nuclear magnetic resonance spectroscopy, fourier transform infra-red spectroscopy and mass spectrometry. All the isolated compounds were tested for their antibacterial activity using disc diffusion and minimum inhibitory concentration (MIC). All three compounds showed weak and moderate activities against all nine tested bacteria. This is the first report on the isolation of compounds from this species and on the antibacterial activity of γ-taraxasterol.
Expression of histidine-tagged bovine growth hormone employing the prokaryotic pET system

As the recombinant bovine growth hormone (rbGH) has become crucial in galactopoiesis research, the main goal of this study was the in vitro generation of histidine-tagged rbGH proteins using the prokaryotic pET system. The isolation of rbgh genes was carried out by PCR using specific primers and a cDNA template retrotranscribed from a sample of total RNA extracted from the bovine pituitary tissue. The PCR products were cloned into the expression vectors pET28a and pET22b. The genetic construction in pET28a added six-histidine residues at the N-terminus region of the rbGH molecule. The genes inserted in pET22b allowed the obtaining of rbGH protein without histidine residues and another variant with the six-histidine residues at the C-terminus region. Different E. coli strains were transformed with the three genetic constructions. The strain Rosetta TM (DE3) was selected as the final expression system because it exhibited the highest expression levels among others. After purifying the three rbGH variants, densitometric analysis showed more than 95 % purity in all cases. The proteins also showed biological activity in a cell proliferation assay. This study allowed the obtaining of three actives variants of rbGH with a high purity degree by using the prokaryotic pET system and the E. coli strain Rosetta TM (DE3). This approach could contribute to the production of rbGH protein for future galactopoiesis investigations.
Characterization of the integer-valued translation-invariant regular metrics on the discrete plane

We say that a metric space is regular if a straight-line (in the metric space sense) passing through the center of a sphere and any other point has at least two diametrically opposite points. Normed vector spaces have this property. Nevertheless, this property might not be satisfied in some metric spaces. In this work, we give a characterization of an integer-valued translationinvariant regular metric defined on the discrete plane, in terms of a symmetric subset B that induces through, what we call, the Minkowski product, a chain of subsets that are morphologically closed with respect to B.
Mathematical Tutorial of Discrete-Time Analysis of Sampling Rate Changing Concept for Digital Signal Processing and Digital Communication Prospective

Greatly demanding on digital signals (or Discrete-Time (DT) signals), which are generated from Continuous -Time (DT) signals by a sampling process based on Nyquist-Shannon theorem, for modern digital processing such as Digital Signal Processing (DSP) and digital communication, the concept of sampling rate changing by an integer factor and a non-integer has been extensively investigated for one and a half decade. Thereby, this article introduces the mathematical tutorial of DT analysis of sampling rate changing concept for both an integer factor and a non-integer. This article first algebraically presents the down-sampling concept with an integer factor and later algebraically presents the up-sampling concept with an integer factor. Next, the article algebraically presents the sampling rate changing concept with a non-integer factor for both down-sampling and up-sampling by using the combination of down-sampling concept and the up-sampling concept. In addition, the several examples of the down-sampling with an integer factor, the up-sampling with an integer factor and sampling rate changing concept with a non-integer factor, which are disclosed in each algebraically detail, are introduced for bring the reader comprehensively recognizing.
Impact on Sensory and Aromatic Profile of Low Ethanol Malbec Wines Fermented by Sequential Culture of Hanseniaspora uvarum and Saccharomyces cerevisiae Native Yeasts

It is well known that high ethanol levels in wines adversely affect the perception of new wine consumers. Moreover, numerous issues, such as civil restrictions, health risk and trade barriers, are associated with high ethanol concentrations. Several strategies have been proposed to produce wines with lower alcoholic content, one simple and inexpensive approach being the use of new wine native yeasts with less efficiency in sugar to ethanol conversion. Nevertheless, it is also necessary that these yeasts do not impair the quality of wine. In this work, we tested the effect of sequential culture between Hanseniaspora uvarum BHu9 and Saccharomyces cerevisiae BSc114 on ethanol production. Then, the wines produced were analyzed by GC-MS and tested by a sensorial panel. Co-culture had a positive impact on ethanol reduction and sensory profile when compared to the S. cerevisiae monoculture. Wines with lower alcohol content were related to fruity aroma; moreover, color intensity was associated. The wines obtained with S. cerevisiae BSc114 in pure conditions were described by parameters linked with high ethanol levels, such as hotness and astringency. Moreover, floral profile was related to this treatment. Based on these findings, this work provides a contribution to answer the current consumers’ preferences and addresses the main challenges faced by the enological industry.
Factors Impact on Tourist Destination Loyalty : A Case Study in Ho Chi Minh City

The purpose of this paper is to define and measure key factors regarding to tourist destination loyalty in Ho Chi Minh city (Viet Nam). This study has used qualitative and quantitative research approaches: (i) qualitative research was carried out through focus group discussions with 10 tourists, and (ii) quantitative research was conducted through direct interviews with 305 tourist in Ho Chi Minh city (Vietnam). The results show that: (i) tourist destination loyalty is affected by service quality, destination image, tourist satisfaction; and (ii) tourist satisfaction is affected by service quality and a destination’s image. However, the research has certain limitations: (i) Due to limited resources in conducting research, the sample size consisted of 305 tourist, (ii) This study conducted a sampling technique method of using direct interview methods from tourists in Ho Chi Minh city, Viet Nam, but the sample may not have been representative enough.
Use of thin layer chromatography for detection and high performance liquid chromatography for quantitating gliotoxin from rice cultures of Aspergillus fumigatus Fresenius

Gliotoxin, a mycotoxin with antimicrobial and immunosuppressive capabilities, is produced by several genera of fungi including the pathogenic fungus Aspergillusfumigatus. The ability of selected isolates of A. fumigatus to produce gliotoxin on three different media was tested and a thin layer chromatographic and high performance liquid chromatographic method for quantitation of gliotoxin from rice culture was developed and is described. Rice cultures were extracted with chloroform and the resulting extract was partially purified by precipitation with petroleum ether and cleanup by gel permeation chromatography. Gliotoxin was detected by thin layer chromatography and quantitated by high performance liquid chromatography using a U.V. absorbance detector with a 254 nm filter and a mobile phase of methanolwater 43 : 57 (V/V) with a flow rate of 2.0 ml/min. The retention time for gliotoxin was approximately 4.8 min. From rice samples spiked with gliotoxin concentrations of 0.67, 1.33, 2.67, 4.00 and 5.33 #g/g the average recovery was 83.8 ~o-
Nonpharmacologic Therapies for LowBack Pain : A Systematic Review for an American College of Physicians Clinical Practice Guideline

Data Synthesis: The number of trials evaluating nonpharmacologic therapies ranged from 2 (tai chi) to 121 (exercise). New evidence indicates that tai chi (strength of evidence [SOE], low) and mindfulness-based stress reduction (SOE, moderate) are effective for chronic low back pain and strengthens previous findings regarding the effectiveness of yoga (SOE, moderate). Evidence continues to support the effectiveness of exercise, psychological therapies, multidisciplinary rehabilitation, spinal manipulation, massage, and acupuncture for chronic low back pain (SOE, low to moderate). Limited evidence shows that acupuncture is modestly effective for acute low back pain (SOE, low). The magnitude of pain benefits was small to moderate and generally short term; effects on function generally were smaller than effects on pain.
Comparing Artificial Neural Network and Cohort-Component Models for Population Forecasts

Abstract:Artificial neural network (ANN) models are rarely used to forecast population in spite of their growing prominence in other fields. We compare the forecasts generated by ANN long short-term memory models (LSTM) with population projections from the traditional cohort-component method (CCM) for counties in Alabama, USA. The evaluation includes projections for all 67 counties, which are diverse in population and socioeconomic characteristics. When comparing projected values with total population counts from the 2010 decennial census, the CCM used by the Center for Business and Economic Research at the University of Alabama in 2001 produced comparable or better results than a basic multi-county ANN LSTM model. Results from ANN models improve when we use single-county models or proxy for a forecaster’s experience and personal judgment with potential economic forecasts. The results indicate the significance of forecaster’s experience/judgment for CCM and the difficulty, but not impossibility, of substituting these insights with available data.
The Traditional Arabic Typecase , Unicode , TEX and METAFONT / Yannis Haralambous 30 A Medieval Icelandic manuscript : The making of a diplomatic edition /

This article announces the release of meta-mode.el, a GNU Emacs editing mode for METAFONT and METAPOST source les. meta-mode.el provides a number of features commonly found in GNU Emacs editing modes for programming languages, such as automatic indenting of source code, syntactic highlighting, symbol completion for partially-typed keywords, motion commands to move to the beginning or end of the enclosing environment, or commands to comment out or reindent environments, regions, or bu ers. An interface to running METAFONT or METAPOST in a shell bu er from within Emacs is currently under development and may be integrated into meta-mode.el later.
PRIVACY ON DATA OVER-COLLECTION IN SMART CITY Minu Mariyam

Smart city can be considered as a big information system which consists of smaller subsystems connected to other systems. The challenge of making smart city is becoming very complex. The function of smart city is development of security structures. Smart phones are used as one of the commonly used electronic device to store data of the users. But smartphones are more vulnerable to privacy leakages for data over-collection. Data over-collection does the purpose of storing large amount of data to users’ app. To prevent privacy, this paper proposes a mobile cloud framework, which uses cloud to store different sizes of data. It also shows some experimental results by showing in real scenario. Keywords—Smart city, Data over-collection, Privacy, Mobile cloud framework.