Miracle-dz/UniFAR-FTUs huggingface dataset:
The Language Of Images : A Visual Rhetorical Theory of Human-Computer Interface Design

Human–Computer interface(HCI) has long been considered a stumbling block to information system usage. Researchers suggest that some of the reasons among many are: Users are often required to interpret, understand, and manipulate an Information System (IS) through an often complex and occasionally mystifying visual boundary; Basic design heuristics suffer from a common flaw in that they are often relevant to a specific context; Finally, inaccuracies due to incomplete, ambiguous, or meaningless representations of real-world objects can significantly decrease the quality of the communication. It is our belief that a generalized theory of HCI design that treats the user interface as a communication medium between the designer and the users will lead to more effective visual interfaces. In this paper, we introduce one such visual language model based on the premise that the HCI design can be thought of as a communication of purpose and intent between an HCI designer and the enduser through a visual symbolic language. A case is made for the use of Speech Act Theory (SAT) as the conceptual foundation for HCI design.
CXCR 2 RECEPTOR ANTAGONISTS FOR THE TREATMENT OR THE PREVENTION OF INSULIN RESISTANCE FIELD OF THE INVENTION

(51) International Patent Classification: relle-Parc Euromedecine, F-34298 MONTPELLIER A61K 31/17 (2006.01) A61P 5/50 (2006.01) (FR). A61P 5/48 (2006.01) (74) Agent: HIRSCH, Denise; Inserm-Transfert, Biopark, 7 (21) International Application Number: rue Watt, F-75013 Paris (FR). PCT/IB2009/0523 12 (81) Designated States (unless otherwise indicated, for every (22) International Filing Date: kind of national protection available): AE, AG, AL, AM, 16 February 2009 (16.02.2009) AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, CA, CH, CN, CO, CR, CU, CZ, DE, DK, DM, DO, DZ, (25) Filing Language: English EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, (26) Publication Language: English HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, (71) Applicant (for all designated States except US): INMG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, SERM (INSTITUT NATIONAL DE LA SANTE ET NZ, OM, PG, PH, PL, PT, RO, RS, RU, SC, SD, SE, SG, DE LA RECHERCHE MEDICALE) [FR/FR]; 101 rue SK, SL, SM, ST, SV, SY, TJ, TM, TN, TR, TT, TZ, UA, de Tolbiac, Cedex 13, F-75654 Paris (FR). UG, US, UZ, VC, VN, ZA, ZM, ZW.
Spring 5-1-2009 Test Anxiety , Depression , and Irrational Beliefs in College Students

This study examined the relationship between test anxiety, depression, and four of Ellis’s (1963) irrational beliefs (demand for approval, anxious overconcern, helplessness, and frustration reactivity). Participants completed questionnaires examining test anxiety, depressive symptoms, and irrational beliefs. It was expected that the first three beliefs would be predictive of students’ test anxiety scores. Students with high test anxiety and high depressive symptoms were also expected to score high on frustration reactivity, in contrast to low scores found among high test-anxious, low-depressive students. Demand for approval and anxious overconcern were found to be significant predictors of level of test anxiety. However, no significant differences were found between the high-depression and low-depression groups for the belief of frustration reactivity.
uropean pennyroyal ( Mentha pulegium ) from Portugal : Chemical composition of ssential oil and antioxidant and antimicrobial properties of extracts and ssential oil

There is a growing interest of industry to replace synthetic chemicals by natural products with bioactive properties from plant origin. The aim of this study was to determine the chemical composition of European pennyroyal (Mentha pulegium) essential oil and to characterize the in vitro antioxidant and antimicrobial activities of its water (hot and cold) and ethanolic extracts and of the essential oil. The essential oil revealed menthone, pulegone and neo-menthol as the main constituents, comprising 35.9, 23.2 and 9.2% of the essential oil, respectively. The hot water extract exhibited the highest antioxidant activity and phenol eywords: ntimicrobial activity ntioxidant activity ssential oil thanol and aqueous extract content. In contrast, the extracts were not very effective to inhibit the growth of the seven foodborne spoilage and pathogenic bacteria tested, but the essential oil showed antibacterial activity against all bacterial strains. In conclusion, extracts and essential oil of M. pulegium from Mediterranean origin have huge potential as an alternative to chemical additives for the food industry.
Methods to Refine the Mapping of Items to Skills

A critical part of domain modeling in Intelligent Tutoring Systems is to determine how the domain content relates to skills and to knowledge that we aim the student to learn about. This task can be achieved through data driven techniques. If domain content is associated with a set of questions or exercises, student performance data over theses items can be used to find the latent skills behind the content.
Antenna Design Considerations for MIMO and Diversity Systems

Because of the signal fading induced by multipath propagation, it can be difficult to offer reliable wireless communication in many practical environments. However, because multipath propagation is characterized by electromagnetic waves that depart at a variety of different transmit angles and arrive at different angles at the receiver, it is theoretically possible to achieve high capacity in these scenarios by exploiting these spatial propagation characteristics. For example, if the transmit and receive antennas were to provide infinite spatial selectivity (antenna beams that could excite a single plane wave), unique data streams could be transmitted on each multipath component. While practical considerations clearly make this infeasible, this simple conceptual illustration reveals the high potential capacity available in a rich scattering environment. While infinite antenna resolution is infeasible, some degree of spatial selectivity can be obtained using multiple antenna elements at the transmit and receive ends of a link. Such multiple-input multiple-output (MIMO) wireless communications exploit the multipath channel characteristics to provide a new resource, namely, spatial processing, that allows improvement of the system performance. This new resource can be used to increase data throughput, improve signal reliability, or reduce transmitted power (leading to extended battery life in mobile devices), all without requiring an increase in the spectrum used for communication. Given these benefits, MIMO has received considerable attention in the research community and is now integrated into emerging communications standards. This chapter focuses on antenna issues related to MIMO systems [1]. Specifically, we explore the interaction of the antenna elements with the electromagnetic propagation, a study that reveals principles that aid in the design of antennas suitable for MIMO systems. Antenna radiation characteristics such as pattern shape and polarization as well as array configuration naturally represent an important part of the discussion. We also focus on mutual coupling and array supergain, which represent significant issues when implementing MIMO technology on mobile devices where the array must be compact. Finally, the discussion turns to the synthesis of optimal antennas for MIMO communication and provides a way to compare practical designs to this optimal benchmark.
A new decentralized alignment-free visualization tool for analyzing the segmented genome of a virus in feature spaces

In this paper, we propose a novel approach to analyze and visualize genetic variation of a segmented genome of a virus in feature spaces embedded in IR and/or higher feature spaces embedded in IR ′ 3 p′ > p. The segmented genome of a virus is considered as a heterogeneous sequence-set with different mutation rates. In this approach, the dispersion maps of a virus are computed in a decentralized manner using an arbitrary set of substrings of specific length (e.g. 2-grams). The new approach is considered as new decentralized alignment-free visualization tool. The new decentralized alignment-free visualization tool, shows effectiveness in capturing and analyzing genetic variation that causes the genetic biodiversity of the segmented gnome of a virus. The new alignment-free visualization tool is expected to be a useful tool in biomedical sector, specifically with a network of mobile laboratories.
Rancang Bangun Alat Bantu Physiotherapy Penggerak Lengan Manusia Untuk Penderita Lumpuh Parsial Sementara Berbasis Voice Command Android

Lumpuh adalah kondisi dimana gerak suatu bagian badan terganggu hingga tidak mampu bergerak sama sekali. Penyakit atau kondisi ini biasanya terjadi pada bagian ekstremitas seperti pada tangan dan kaki. Kelumpuhan yang sering terjadi adalah masalah perlukaan pada pembuluh dalam otak yang akan mengganggu syaraf motorik di sebagian tubuh maupun seluruh tubuh. Penelitian ini membahas tentang lengan bantu berbasis voice command android yang digunakan sebagai media terapi untuk penderita lumpuh. Voice command pada smartphone android yang diucapkan oleh pengguna akan diolah menjadi pergerakan dari lengan bantu yang kemudian dikirim menggunakan serial communication ke mikrokontroller Arduino sebagai pusat pengaturan. Pergerakan dari lengan bantu menggunakan PWM ( Pulse Wide Modulation ). Penggunaan PWM bertujuan untuk mengatur kecepatan pergerakan dari lengan bantu sesuai berdasarkan keluran sensor MPX5050DP yang terbaca sebagai kekuatan otot. Alat ini telah berhasil diujikan dengan menghasilkan parameter pergerakan lengan bantu yaitu sudut 130 derajat pada posisi angkat dan 30 derajat saat posisi turun.
A Novel Control Method for Improvement of Voltage Utilization Factor in Three-Phase Multilevel Inverter Considering the Input Voltage Fluctuation

In This paper wind, solar and fuel cells based stand alone cogeneration systems are presented for remote area utilities applications. This type of co generation system output voltages are not constant or stable in always. The generated output voltages are directly connected to the loads, without battery bank or energy storage devices. The PI, fuzzy control method was proposed in this paper using svpwm, such that the output voltage of converter circuit is constant even though input voltages are fluctuation conditions. A three phase multilevel inverter with static and dynamic load was examined to validate for proposed work in MATLAB environment.
Improving the Performance of the Variant Calling Workﬂow for DNA Sequencing

The growing DNA data volumes that originate from novel efﬁcient DNA sequencing methods expose new challenges to computer systems used to process this genomic data. BigData technologies in the Hadoop environment, in particular Apache Spark and the Hadoop Distributed File System (HDFS), are increasingly adapted in state-of-the-art Bioinformatic tools. One application domain of such tools is the Variant Calling Workﬂow (VCW) that is subject of this work’s research. The application of Spark-based open source tools to execute the different VCW results in a tool chain of separate programs. The programs are executed consecutively and consume the data that is produced by the preceding program as input. This data sharing represents an additional workload as the data needs to be transformed into a ﬁle format, written to disk and read from disk again by the next application. In our first research question we examine whether performance can be increased by improving data sharing. As improving measures we propose (1) the elimination of the single output file generation that is native to most open source Bioinformatics tools and (2) the application of the distributed in-memory file system, Alluxio, as in-memory layer for data sharing between any two consecutive VCW applications. While we achieved in our experiments for (1) an impressive performance boost of 17 % we could not improve performance in our experiments for (2). In our second research questions we investigate how the data throughput can be improved by changing the execution modes of the VCW. The growing DNA data is mainly represented by a larger quantity of DNA samples. Hence, it is important to optimize the VCW execution for multi-sample input. As part of the second research question we propose different execution modes and show in our experiments that concurrent workflow execution can improve the overall runtime performance in our VCW using 3 input samples of 10GB by 15 % compared to sequential execution.
FUZZY PROTECTION METHOD FOR FLOOD ATTACKS IN SOFTWARE DEFINED NETWORKING ( SDN )

Flood attacks (FA) are a type of distributed denial of service (DDoS) attacks. In FA, an attacker sends massive floods of packets to consume all resources. Hierarchical architecture and numerous weaknesses in the structure of communication protocols in conventional networks lead to the fact that firewalls are incapable to provide an integrated and effective mechanism against these attacks. With the emergence of Software Defined Networking (SDN), there are new prospects for solving structural and security problems in conventional networks. This study investigates some ideas for protecting against distributed FA using SDN. Later, by analyzing the strengths and weaknesses of these ideas, a heterogeneous method is proposed based on a combination of conventional service provider and the Software Defined controller. In the proposed method, the attack detection and the fuzzy decision modules are located in the service provider and the controller (i.e. SDN), respectively. In order to simulate the heterogeneous method the MiniNet emulator is applied in combination with the Pox controller. Afterwards, the simulated model is evaluated. Results show that besides protecting against attacks in conventional networks, the proposed method provides other benefits including the extent of computational load and the response time in comparision to other Software Defined methods.
The Effect of CEO / CFO Ties to Auditors through Outside Directorship on Auditor Selection and Subsequent Audit Quality

This study examines whether CEO/CFO professional ties to auditors through outside directorship affect auditor selections and subsequent audit quality. Such professional ties arise when the CEO/CFO of a firm (home firm) serves as an outside director of another firm (connected firm) which hires an auditor (connected auditor). Using a sample of firms that switched auditors over 2003-2012, we find that home firms are more likely to appoint connected auditors. Furthermore, utilizing a difference-in-differences approach, we find that home firms appointing connected auditors (i.e., treatment firms) experience a significant decline in audit quality, as measured by the likelihood of restatements, the propensity of meeting or just beating earnings benchmarks, and the magnitude of discretionary accruals, compared to other firms appointing non-connected auditors (i.e., control firms). Finally, we find some evidence indicating that the negative effect on audit quality is stronger when the connection is via the same auditor office or audit committee membership. Collectively, our evidence suggests that the CEO/CFO influences auditor selection decisions to hire a professionally tied auditor and that such hiring lowers audit quality.
P RIV A ID : Differentially-Private Event Frequency Analysis for Google Analytics in Android Apps

—Mobile apps often use analytics infrastructures provided by companies such as Google and Facebook to gather data about app performance and user behaviors. However, there are signiﬁcant privacy concerns about the collection and use of such data. In a world with increasing privacy threats and demands, it is important to develop better deﬁnitions and enforcement of the trade-offs between data analytics beneﬁts and the loss of privacy. We propose P RIV A ID , a conceptual approach and related software components for achieving such trade-offs in app analytics for Android apps. Our proposal employs differential privacy (DP), a powerful and rigorous privacy deﬁnition and algorithmic framework. In essence, a DP solution perturbs the results of a data analysis in order to achieve a quantiﬁable notion of privacy. We highlight the challenges of applying DP techniques to existing analytics frameworks for Android apps. We then describe how these challenges are addressed by the design of P RIV A ID and its components for app analysis, rewriting, and proﬁling. Next, we develop an instance of P RIV A ID for DP collection of event frequency information in apps that use the popular Google Analytics framework. Our experimental evaluation demonstrates that practical trade-offs between privacy, accuracy, and cost can be achieved for real-world Android apps.
Artificial Neural Network Based Path Planning of Excavator Arm

This paper presents a solution in path planning for a robotic arm based on the artificial neural network (ANN) architecture, particularly a Static (Feedforward) Neural Network (SNN). The inputs of the network are the sample sets that are obtained from some specific requirements of the desired trajectory. After training, the outputs of the network are the smooth curves that will be used as the reference trajectory for the joints of the excavator arm. The capabilities of the designed neural network in solving the path planning problems are clearly demonstrated through a simulation conducted with a complex trajectory for the excavator. 
An Architecture for Anomaly Detection in Large Complex Critical Infrastructures

Deregulation, cyber-terrorism, and increased interdependency are making large complex critical infrastructures, such as the telecommunications and electricity networks, increasingly vulnerable. Solutions are needed that can provide a rapid automatic response to the known and unknown dangers that threaten them today. This paper outlines the work that is being done at Queen Mary, University of London on the design of an agent-based anomaly detection and repair system that will address this problem. This will build up a model of normality for the telecommunications management network, interact with existing protection mechanisms, diagnose problems and carry out self-healing. The layered safeguards that will be offered by this system will substantially increase the survivability of large complex critical infrastructures in the face of attacks, failures and accidents caused by insiders and outsiders.
Does Fair value matter for lenders ? A discussion for the case of Italy

This paper evaluates the decision usefulness of incorporating fair values as measures of assets and liabilities in the body of financial statements in credit-oriented financing systems. Decision usefulness is the primary objective of the financial statements identified in the IASB Conceptual Framework. Specifically, we argue that fair valuation – while potentially useful in countries that boast advanced capital markets with diffused equity ownership – is not as useful, and even potentially misleading, in countries wherein lenders are the major source of financing. In certain European countries, and especially in Italy, lenders and other creditors supply most of the financing, and hence are the “primary users” of financial reporting. This paper contributes to the discussion by reviewing the literature on the prediction of default, bankruptcy, creditrating, and the pricing of credit and identifying the informational inputs used for such predictions and pricing. We then argue that these informational inputs largely ignore fair values, whether measured as exit values or otherwise; hence it appears that fair values, even when provided in financial statements, are not perceived as important inputs into decision and prediction models of creditors. Next, we suggest that the premise that fair values are suitable for all countries and entities, regardless of differences in ownership structure and modes of financing, may need to be reexamined. We do propose, however, that enhanced disclosures of fair values are likely to satisfy the criterion of decision usefulness in Italy and other similarly situated countries.
Storage and Dissipation of Energy in Prabhakar Viscoelasticity

In this paper, after a brief review of the physical notion of quality factor in viscoelasticity, we present a complete discussion of the attenuation processes emerging in the Maxwell–Prabhakar model, recently developed by Giusti and Colombaro. Then, taking profit of some illuminating plots, we discuss some potential connections between the presented model and the modern mathematical modelling of seismic processes.
Spectrum Detection Based on SNR in Cognitive Radio

Fading shadowing and hidden terminal problems in cognitive radio systems cannot be avoided. Cooperative spectrum detection is an appropriate way to solve this problem. Because the cognitive node’s SNR has influence in cooperative detection, Smart antenna and power control are combined to reduce interference and error rate to improve the performance of the system, then to combine with twice cooperative spectrum detection. in this way cognitive radio system can improve transmission power, SNR, reducing global missing detection probability, false alarm probability in global. Simulation results show the way is available.
USING NEURAL NETWORK LANGUAGE MODELS FOR LVCSR

In this paper we describe how to use a neural network language model for the BN and CTS task in the RT04 evaluation. The new approach performs the estimation of the language model probabilities in a continuous space, allowing by this means smooth interpolations. Details are given on training data selection, fast training and decoding algorithms and parameter estimation. The neural network language model achieved word error reductions of 0.5% for the CTS task and of 0.3% for the BN task with an additional decoding cost of 0.05xRT.
Grain size determination and classification using adaptive image segmentation with shape information for milling quality evaluation

In this paper, authors described methods of material granularity evaluation and a novel method for grain size determination with inline electromagnetic mill device diagnostics. The milling process quality evaluation can be carried out with vibration measurements, analysis of the milling material images or well-known screening machines. The method proposed in this paper is developed to the online examination of the milled product during the milling process using real-time digital images. In this paper, authors concentrated their work on copper ore milling process. Determination of the total number of the grain, the size of each grain, also the classification of the grains are the main goal of the developed method. In the proposed method the vision camera with lightning mounted at two assumed angles has been used. The detection of the grains has been based on an adaptive segmentation algorithm, improved with distance transform to enhance grains detection. The information about particles shape and context is used to optimize the grain classification process in the next step. The final classification is based on the rule-based method with defined particle shape and size parameters.