Miracle-dz/UniFAR-FTUs huggingface dataset:
Constructing the Conceptual Meaning in Music: Imaginative Dimensions and Linguistic Descriptions

The theoretical-methodological contribution of the so-called embodied cognitive sciences became absorbed by musicological research in the 1990s. Throughout the 20 years of development of a musical enactivism, several researchers have faced the challenge of overcoming the representational model of the academic tradition to explain what happens to the mind when we interact with music creatively. This paper argues for the validity of the hypothesis according to which the attentional focus of the descriptor regulates the linguistic descriptions of his or her musical understanding. In the process of producing meaning the listener emphases one or another of the imaginative dimensions that this study recognizes as categorization of movements, production of formal images, and the establishment of symbolic predicates. Moreover, the present study argues that events that elicit more meaningful orienting of attention trigger a cognitive device called orienting response which regulates the attentional focus of the listener. Before this, the development of a strictly enactivist model for the investigation of the modes of conceptualization of the musical understanding expressed in the linguistic descriptions of the listeners offers unprecedented access to the path that goes from the concept towards the meanings (mostly unconscious) that are not yet concepts. These are the meanings with which we invent our musical worlds before conceptualizing the world musically.
Ship detection by different data selection templates and multilayer perceptrons from incoherent maritime radar data

This study presents a novel way for detecting ships in sea clutter. For this purpose, the information contained in the Radar images obtained by an incoherent X-band maritime Radar is used. The ship detection is solved by feedforward artificial neural networks, such as the multilayer perceptrons (MLPs). In a first approach, the MLP processes the information extracted from the Radar images using the commonly used horizontal and vertical selection templates. But, if a suitable combination of these selection templates is done, better detection performances are achieved. So, two improved selection templates are proposed, which are based on cross and plus shapes. All these templates are also applied in a commonly used detector taken as reference, the CA-CFAR detector. Its performance is compared with the one achieved by the proposed detector. This comparison shows how the MLP-based detector outperforms the CA-CFAR detector in all the cases under study. The results are presented in terms of objective (probabilities of false alarm and detection) and subjective estimations of their performances. The improved MLP-based detector also presents low computational cost and high robustness in its performance against changes in the sea conditions and ship properties.
Study of Routing Algorithms on Hybrid Wireless Networks

— This paper gives survey of existing Quality of service QoS oriented routing algorithms for hybrid wireless networks. HWN are integrated networks that provide seamless services over several networks. HWN integrate infrastructure networks and Mobile adhoc networks. So HWN are the next generation 4G networks. The emerging multimedia applications like online movie, online video conferencing, etc require high support of QoS networks. Hence the stringent end to end network quality is on demand research.
Human Face Detection in Color Images using Fusion of Ada Boost and LBP Feature

: Face recognition has been one of the most widely used sub-disciplines of machine learning for so many years. Face detection has been employed as an effective method in a wide range of applications such as surveillance systems and Forensic pathology in the area of machine vision. However, the accuracy of face detection has dramatically declined over the past decade due to wide-ranging challenges such as face detection with changes in face angle, the density of the crowds in an image, quality of light, etc which require special attention of researchers in response to these challenges. In the present study, a new sustainable approach to light changes for face detection based on local features is employed. In this method, the local binary pattern is extracted from face images and Principal Component Analysis is utilized to reduce the feature vectors’ dimension by the descriptor. Eventually, the features are classified using Ada Boost. Tests done on the images on the web show that face recognition accuracy is 100% in the low density crowd, 96% in the high-density crowd and proper light conditions, and 90% in the high-density crowd and poor light conditions.
Multi-channel MAC Protocol for Real-time Monitoring of Weapon Flight test in Wireless Sensor Networks

— In this paper, we propose the priority based multi-channel MAC protocol with single radio interface for the real time monitoring of the flight test of weapon systems. Concurrent transmissions with multi-channel of sensor nodes can improve the network throughput compared with single-channel transmission in wireless sensor networks. Our proposed MAC protocol has two operation modes. First is 'Normal' mode and second is 'Priority' mode. In normal mode, nodes are operated on normal CSMA/CA. And nodes have different priority depending on a sensed signal level in priority mode. High priority nodes can use more transmission channel for data send than low priority nodes. This method can guarantee successful transmission of important data generated by high priority nodes. The Class of a node is determined by own sensed data, in ‘Priority’ mode; nodes have three degrees – Class A, Class B, and Class C. When a sensed data of each node exceeds specific threshold value, each node has specific class respectively. High class node has low backoff exponents and can use more transmission channel. This mechanism allows that high class node has more transmission opportunity. It guarantees transmission of important data generated by high class nodes.
Consiglio Nazionale delle Ricerche Assessing the Performance of a MIMO SDR Testbed with Dual Transceiver Implementation

—Software Deﬁned Radio testbeds are becoming increasingly used in the wireless networking community, given their feature of leaving wireless network designer full control of the PHY layer. On the other hand, SDR testbeds are formed of very complex software/hardware tools, in which implementation bugs are likely and difﬁcult to identify. For this reason, assessment of the results provided by an SDR platform should be a fundamental, preliminary step in the performance evaluation process.Inthis paper, we provide a thorough assessment of the MIMONet SDR platform for network-level exploitation of MIMO technology. To assess the platform, we have used two different implementations of an OFDM transceiver: one based on Matlab, the other on the GNU Radio software. We have then cross-validated performance by means of extensive measurements using the two alternative implementations. We have also designed and implemented a ﬁne grained SNR and BER estimation methodology, that allowed us to carefully validate performance of the two software implementations against theoretical predictions. When collectively considered, the results of our measurements promote MIMONet as the ﬁrst SDR testbed with carefully validated performance.
A FILTER FOR ANALYSIS AND DETECTION OF MALICIOUS WEB PAGES

Internet services are more necessary part of our daily life. We rely growingly on the ease and flexibility of Internet connected devices to shop, communicate and in general perform tasks that would require our physical presence. While very valuable, Internet transactions can represent user sensitive information. Banking sector’s and personal medical records, system authorization passwords and personal communication records can easily become known to an enemy who can easily compromise any of the devices include in online transactions. Regrettably, In this transaction the user’s personal computer seems to be the weakest link. At the same time attacker also use new attacks for identification of user’s sensitive information with vulnerabilities that use a small part of code in web pages. Overcome these problems use a novel approach for a filtering technique to finding malicious web pages very effectively and efficiently using supervised machine learning. Also detailed study some other techniques researcher research to analysis and detection of malicious web pages
Voltage Quality Improvement in Low Voltage Distribution Networks Using Reactive Power Capability of Single-Phase PV Inverters

The rapid growth of residential rooftop photovoltaic (PV) systems may cause significant power quality problems, such as severe voltage fluctuation and unbalance which can restrict further PV integrations to the network. In this paper, the potential capability of residential PV inverters is investigated to develop a distributed reactive power compensation scheme for voltage regulation in three-phase four-wire unbalanced low voltage distribution networks (LVDNs). For this purpose, an effective method is proposed by means of single-phase PV inverters arbitrarily connected among different phases. The aims are improving voltage profile along the feeder and reducing the voltage unbalances. The PV inverters are connected in such a way that they form distributed delta and wye configurations to compensate the negative and zero sequence components of voltage, respectively and to regulate voltage within the allowed limits as well. The proposed consensus-based algorithm considers each PV system as a smart agent and updates its reactive power control setting based on only local measurements and data communications with neighboring agents. The effectiveness of the proposed strategy in terms of voltage regulation and unbalance and energy losses is shown through detailed simulations over a 24-hr period on a three-phase four-wire unbalanced LVDN with realistic data.
The construction and empirical verification of the Sense of Team Efficacy Questionnaire (Kwestionariusz Poczucia Druzynowej Skutecznosci)

Abstract Background: This article presents the procedure of the elaboration and verification of the first Polish Sense of Team Efficacy Questionnaire (Kwestionariusz Poczucia Druzynowej Skutecznosci – KPDS). Material/Methods: Two research stages involved a total of 373 professional athletes. Based on the collected data, the internal structure and psychometric properties of the instrument were established. Results: As a result of the conducted statistical analyses, a questionnaire was obtained. Analyses confirmed the stability of the internal structure of the questionnaire. The instrument also obtained satisfactory coefficients of reliability (using Cronbach’s alpha internal reliability coefficient) and construct validity. In order to establish the convergent and discriminant validity of the KPDS, the analysis of the multitrait-multimethod matrix was applied, using the Group Environment Questionnaire (GEQ). Predictive validity was established using the result obtained in a match played directly after the conducted study. Conclusions: The obtained results confirmed the relevance of creating the KPDS. The questionnaire was made up of 21 items representing 4 subscales: fitness, preparation, effort and endurance. Calculation of a general score for the KPDS also proved to be possible. abstract Background: ThisarticlepresentstheprocedureoftheelaborationandverificationofthefirstPolishSenseofTeamEfficacyQuestionnaire(KwestionariuszPoczuciaDruzynowejSkutecznosci–KPDS). Material/Methods: Tworesearchstagesinvolvedatotalof373professionalathletes. Basedonthecollecteddata,theinternalstructureandpsychometricpropertiesoftheinstrumentwereestabli -shed. Results: Asaresultoftheconductedstatisticalanalyses,aquestionnairewasobtained. Analysesconfirmedthestabilityoftheinternalstructureofthequestionnaire. Theinstrumentalsoobtainedsatisfactorycoefficientsofreliability(usingCronbach’salphainternalreliabilitycoefficient)andconstructvalidity. InordertoestablishtheconvergentanddiscriminantvalidityoftheKPDS,theanalysisofthemultitrait-multimethodmatrixwasapplied,usingtheGroupEnvironmentQuestionnaire(GEQ). Predictivevaliditywasestablishedusingtheresultobtainedinamatchplayeddirectlyaftertheconductedstudy. Conclusions: TheobtainedresultsconfirmedtherelevanceofcreatingtheKPDS. Thequestionnairewasmadeupof21itemsrepresenting4subscales:fitness,preparation,effortandendurance. CalculationofageneralscorefortheKPDSalsoprovedtobepossible.
New physics in b→ s`` transitions at one loop

Rupert Coy,1, ∗ Michele Frigerio,1, † Federico Mescia,2, ‡ and Olcyr Sumensari3, § Laboratoire Charles Coulomb (L2C), University of Montpellier, CNRS, Montpellier, France Departament de Física Quàntica i Astrofísica (FQA), Institut de Ciències del Cosmos (ICCUB), Universitat de Barcelona (UB), Spain Dipartimento di Fisica e Astronomia “G. Galilei”, Università di Padova, Italy Istituto Nazionale Fisica Nucleare, Sezione di Padova, I-35131 Padova, Italy
A Feature Weighting Method by Multimedia Data Model on E-Business

A lazy learning method has relative advantages in comparison to eager learning method. However lazy learning has relative disadvantages also. Lazy learners are sensitive to irrelevant features. When there are irrelevant features, lazy learners have difficulty to compare cases. This is one of the most critical problems and the accuracy of reasoning can be degraded significantly. To overcome this restriction, feature weighting method for lazy learning have been studied. All the methods previously proposed tried to improve some parts of this generic process with different approaches. However, most of the existing researches were focused on global feature weighting. Therefore, we propose a new local method on e-business. The motivation to try local feature weighting method is that there are situations where locally varying weight vectors can help improving classifier performance by multimedia data model on e-business.
99 12 00 7 v 1 3 D ec 1 99 9 An exit-time approach to ǫ-entropy

An efficient approach to the calculation of the ǫ-entropy is proposed. The method is based on the idea of looking at the information content of a string of data, by analyzing the signal only at the instants when the fluctuations are larger than a certain threshold ǫ, i.e., by looking at the exit-time statistics. The practical and theoretical advantages of our method with respect to the usual one are shown by the examples of a deterministic map and a self-affine stochastic process. PACS: 05.45. -a, 05.45. Tp
60 60 36 v 1 1 4 Ju n 19 96 Quantum blackhole kinks

By allowing the light cones to tip over on hypersurfaces according to the conservation laws of an one-kink in static, Schwarzschild and five-dimensional black hole metrics, we show that in the quantum regime there also exist instantons whose finite imaginary action gives the probability of occurrence of the kink metric corresponding to single chargeless, nonrotating black holes taking place in pairs, joined on an interior surface, beyond the horizon, with each hole residing in a different universe. Evaluation of the thermal properties of each of the black holes in a neutral pair leads one to check that, to an asymptotic observer in either universe, each black hole is exactly the quantummechanically defined anti-black hole to the other hole in the pair. The independent quantum states of black holes in neutral pairs have been formulated by using the path integral method, and shown to be that of a harmonic oscillator. Our results suggest that the boundary condition of a single universe in the metauniverse is that this universe can never be self-contained and must always have at least one boundary which connects it to the rest of a self-contained metauniverse.
Local energy: a basis for local electronegativity and local hardness

The traditional approach to establishing a local measure of chemical hardness, by defining a local hardness concept through the derivative of the chemical potential with respect to the electron density, has been found to have limited chemical applicability, and has proved to be an unfeasible approach in principle. Here, we propose a new approach via a unique local energy concept. This local energy is shown to emerge from the Hamilton-Jacobi kind of construction of Schrodinger's quantum mechanics. It then leads to the concepts of a local chemical potential, i.e. negative of local electronegativity, and a local hardness just as the chemical potential and hardness are obtained from the energy, namely via differentiations with respect to the number of electrons. The emerging local hardness adds corrections to a recently proposed local hardness expression that has been found to be a good local measure of hardness for a series of atomic and molecular systems. These corrections become relevant for molecules with a large number of electrons. It is pointed out further that the definition of local softness that yields it as the Fukui function times the softness is not well-established, explaining recent observations of failure of this local softness concept as a proper local reactivity index for hard systems.
Gateway for Inhaled Antigens Respiratory M Cells as an Alternative The Airway Antigen Sampling System:

In this study, we demonstrated a new airway Ag sampling site by analyzing tissue sections of the murine nasal passages. We revealed the presence of respiratory M cells, which had the ability to take up OVA and recombinant Salmonella typhimurium expressing GFP, in the turbinates covered with single-layer epithelium. These M cells were also capable of taking up respiratory pathogen group A Streptococcus after nasal challenge. Inhibitor of DNA binding/differentiation 2 (Id2)-deﬁcient mice, which are deﬁcient in lymphoid tissues, including nasopharynx-associated lymphoid tissue, had a similar frequency of M cell clusters in their nasal epithelia to that of their littermates, Id2 +/ 2 mice. The titers of Ag-speciﬁc Abs were as high in Id2 2 / 2 mice as in Id2 +/ 2 mice after nasal immunization with recombinant Salmonella -ToxC or group A Streptococcus , indicating that respiratory M cells were capable of sampling inhaled bacterial Ag to initiate an Ag-speciﬁc immune response. Taken together, these ﬁndings suggest that respiratory M cells act as a nasopharynx-associated lymphoid tissue-independent alternative gateway for Ag sampling and subsequent induction of Ag-speciﬁc immune responses in the upper respiratory tract. The Journal of Immunology , 2011, 186: 000–000. immune special gateways, M cells, which are located in the epithelium overlying MALT follicles as nasopharynx-associated
C O ] 2 5 M ar 2 02 0 On generalized Erdős – Ginzburg – Ziv constants for Z d 2

Let G be a finite abelian group, and r be a multiple of its exponent. The generalized Erdős–Ginzburg–Ziv constant sr(G) is the smallest integer s such that every sequence of length s over G has a zero-sum subsequence of length r. We find exact values of s2m(Z d 2) for d ≤ 2m + 1. Connections to linear binary codes of maximal length and codes without a forbidden weight are discussed.
ON PHYLOGENETIC

—Theshapesofevolutionarytreesareinﬂuencedbythenatureoftheevolutionaryprocessbutcomparisonsoftrees fromdifferentprocessesarehinderedbythechallengeofcompletelydescribingtreeshape.Wepresentafullcharacterizationoftheshapesofrootedbranchingtreesinaformthatlendsitselftonaturaltreecomparisons. Weusethischaracterizationtodeﬁneametric,inthesenseofatruedistancefunction,ontreeshapes.Themetricdistinguishestreesfromrandommodelsknowntoproducedifferenttreeshapes. ItseparatestreesderivedfromtropicalversusUSAinﬂuenzaAsequences,whichreﬂectthedifferingepidemiologyoftropicalandseasonalﬂu. Wedescribeseveralmetricsbasedonthesamecorecharacterization,andillustratehowtoextendthemetrictoincorporatetrees’branchlengthsorotherfeaturessuchasoverallimbalance.Ourapproachallowsustoconstructadditionandmultiplicationontrees,andtocreateaconvexmetricontreeshapeswhichformallyallowscomputationofaveragetreeshapes. [treemetric;phylodynamics;treeshapes]
Circularly polarized rectangular dielectric resonator antenna fed by a cross aperture coupled spiral microstrip line

In this article, a circularly polarized rectangular dielectric resonator antenna fed by a cross‐aperture coupled spiral microstrip line is investigated. A quarter wavelength section of microstrip line is positioned between each arm of the cross slot in a spiral form to generate the circular polarization. The prototype of proposed antenna is fabricated and tested. The measured |S11| and 3‐dB axial ratio frequency range is 31.74%, (2.65–3.65) GHz and 20%, (3.12–3.74) GHz, respectively and the measured total gain and left handed circularly polarized gain are 4.5 and 3.1 dB, respectively. The proposed antenna may be suitable for WiMAX applications.
Institutional Knowledge at Singapore Management University Culture and Counterfactuals: On the Importance of Life Domains

Past research, with its emphasis on affective regulatory processes, has failed to find cross-cultural differ-encesincounterfactualthoughts.Inthecurrentstudy,theauthorsexaminethetendencytogenerateadditivecounterfactuals(thosethatfocusontheadditionofnewaspectsthatwerenotinfactpresent)andsubtractivecounterfactuals(thosethatfocusonsubtractionoffactualaspects)amongMainlandChineseandEuropeanAmericanuniversitystudentsinfivelifedomains:schoolwork,romanticrelationships,familyrelationships,friendships,andlifeingeneral.Asinpreviousstudies,theauthorsfindanoverallmaineffect,inwhichaddi-tivecounterfactualspredominateoversubtractivecounterfactualswithinbothculturalgroups.However,theyalsofindsystematicculturaldifferencesinthelikelihoodofgeneratingadditiveandsubtractivecounterfactualsinthedomainsofschoolworkandfamily.Thesefindingsarediscussedintermsoftheirimplications for understanding the nature of cultural differences.
Statistical Synthesis of Transient and Pitch-Changing Sounds

We propose a statistical method for modeling and synthesizing sounds with both sinusoidal and attack transient components. In addition, the sinusoidal component can have pitch-changing characteristics. The method applies multivariate decomposition techniques (such as independent component analysis and principal component analysis) to learn the intrinsic structures that characterize the sound samples. Afterwards these structures are used to synthe-size new sounds which can be drawn from the distribution of the real original sound samples. Here we apply the method to impact sounds and show that the method is able to generate new samples that have the characteristic attack transient of impact sounds.
Optical properties of Li-based nonlinear crystals for high power mid-IR OPCPA pumped at 1 µm under realistic operational conditions

: Optical properties of mid-infrared, Li-based nonlinear crystals (NLC) are estimated under realistic experimental conditions for high power lasers using the thermal imaging method. The study focuses on crystals with relatively large apertures for high energy and power applications that are transparent in a broad spectral range (6–16 µm). For this purpose, a high average power Yb:YAG laser amplifier system was used that pumps the crystals and the thermal response of the materials was recorded. An estimate of the linear and nonlinear absorption coefficients of different non-oxide crystals at the 1-µm pump wavelength along with their nonlinear refractive index is provided. To the best of our knowledge, linear and nonlinear absorption coefficients are presented for the first time, including the nonlinear refractive index of AGS, LGSe, LIS, and LISe. These optical material properties are of utmost importance for cutting-edge laser developments close to damage thresholds since they affect the resulting beam quality and conversion efficiencies of novel high power optical parametric amplifiers operating in the long-wavelength mid-infrared spectral range. terms of the OSA Open Access Publishing Agreement