Miracle-dz/UniFAR-FTUs huggingface dataset:
Collaboration in Routing and Velocity Measurement Function for Mobile Ad hoc Networks

As mobile terminals in ad-hoc networks have low battery resources, designing light-weight routing protocols has become a significant goal along with other power-saving technologies. One way to meet these requirements is to utilize cars as intermediate nodes in mobile ad hoc networks. However, the high velocities of cars may seriously degrade network quality. We need an efficient routing protocol that can establish stable routes even if moving cars are used as network components. In this paper, we quantitatively evaluate the impact of the speed of the cars by simulation and propose a novel technology that integrates the velocity measurement function in routing. Extensive simulation results are presented to show the efficiency of our proposal.
Please Scroll down for Article Philosophical Psychology Philosophical Temperament Philosophical Temperament

This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. Many philosophers have worried about what philosophy is. Often they have looked for answers by considering what it is that philosophers do. Given the diversity of topics and methods found in philosophy, however, we propose a different approach. In this article we consider the philosophical temperament, asking an alternative question: what are philosophers like? Our answer is that one important aspect of the philosophical temperament is that philosophers are especially reflective: they are less likely than their peers to embrace what seems obvious without questioning it. This claim is supported by a study of more than 4,000 philosophers and non-philosophers, the results of which indicate that even when we control for overall education level, philosophers tend to be significantly more reflective than their peers. We then illustrate this tendency by considering what we know about the philosophizing of a few prominent philosophers. Recognizing this aspect of the philosophical temperament, it is natural to wonder how philosophers came to be this way: does philosophical training teach reflectivity or do more reflective people tend to gravitate to philosophy? We consider the limitations of our data with respect to this question and suggest that a longitudinal study be conducted.
Mobile-to-mobile passive localization on walking path

This paper presents a novel mobile-to-mobile localization approach without radio map or fixed reference points deployment. In this approach, the mobile listener can passively locate another mobile device by receiving the Probe Request frames on his walking path. The unique location of the mobile device is estimated on a geometric diagram and right-angled walking path. Path loss exponent, a site-related parameter, is eliminated in solving equation array to make our model site-independent. The performance of our method has been evaluated in inside the room, outside the room and outdoor scenarios with three kinds of walking paths, e.g. horizontal, vertical and slanted.
Study On The Evaluation Of The Voluntary And Involuntary Strength In Football

In recent years, football all over the world has evolved from all points of view, including the dynamics of the game and the increase in the speed and strength with which most of the game phases take place. Technical and tactical skills of the top teams are incontestable, but the athletic potential and the strength of the players make the difference. The ability to have starting strength and flexible strength are critical elements that any athlete must possess. We intend to calculate the difference between voluntary strength (starting strength) and involuntary strength (explosive strength) to determine the deficit and rebalance the differences between them. We are convinced that balance is at the basis of any training program and that this deficit must be identified and balanced through individual training programs focused on maximum strength and plyometrics. Knowing all the mentioned aspects, we aimed to work according to the new approaches and methods of identification and balancing of the voluntary strength and explosive strength, using the Sargent two-jump test assessed through the plyometric platform. New research shows that involuntary strength must be greater than voluntary strength. To improve the voluntary strength, it is necessary to work in the gym with a higher intensity of 90% of 1RM to recruit as many muscle fibers. Regarding the involuntary strength, it should be improved through plyometric exercises. © 2019 Published by Future Academy www.FutureAcademy. org.UK
Service Differentiation and QoS in a Scalable Content-Aware Load Balancing Algorithm

This paper presents a complete solution of a scalable content-aware load balancing solution for cluster-based Web information systems that includes service differentiation and quality of service. The architecture is based on a farm of Web servers managed by a content-aware load balancer that differentiates the service required by the workload and implements a control admission under extreme overload. The results show that the burstiness in the workload has to be controlled on the Web servers in order to obtain the best response in terms of performance and overhead
Gabor space and the development of preattentive similarity

We show that a certain class of similarity measures, which is based on set-theoretic concepts, and explains many of the characteristics of human similarity assessment, can be interpreted as a distance in a suitable psychological space. This view unifies a number of different measures of similarity that psychological experiments have determined to be active in humans for different classes of stimuli. The study arises out of a consideration of similarity in retrieval from a multimedia database.
Effect of glottal pulse shape on the quality of natural vowels.

A pitch‐synchronous analysis was carried out over the vowel portions of the CVC utterances HAYED, HOD, HODE and the sentence FEW THIEVES ARE NEVER SENT TO THE JUG recorded by a male speaker. For every pitch period, the analysis provides formant frequencies and the waveform of the vocal‐cord excitation. The excitation waveform was replaced by a simulated excitation waveform, with which the utterances were resynthesized. In Expt. I, six simulated waveforms with pulse shapes differing in the number and location of slope discontinuities were investigated. Listening tests indicated that simulated excitations with pulse shapes with a single slope discontinuity at closure are preferred. In Expt. II, simulated excitations with 16 combinations of opening and closing times of a preferred pulse shape were investigated. Listening tests indicated that very small opening or closing times, or opening times approximately equal to or less than closing times, are not preferred. In general, it was demonstrated that good‐qua.
Spam Filtering by Stages

At the present time, the typical spam filtering technique is content filtering, but the content filtering belongs to after the event precaution, and cannot avoid network resources waste due to spam. Therefore, this paper used a method of spam behaviour recognition filtering. The method identify the spam according to the behaviour of mail sent, set up the model by Bayes technique, filter spam by the least risk of Bayes technique, and in the mail filtering application filtering spam by stages in order to recognizes the spam email as soon as possible. Experiments show that this method could get a better effect, and could identify the spam as early as possible, so that this approach could solve the problem of resources wasting.
Panoramic 3D Reconstruction by Fusing Color Intensity and Laser Range Data

Panoramic 3D reconstruction of an indoor environment is an important issue for navigation and the safety control for a robot. In this study, we examine an acquisition device constructed of a regular CCD camera and a 2D laser range scanner, along with a technique for panoramic 3D reconstruction using a data fusion algorithm based on an energy minimization framework. The acquisition device can capture two types of data of a panoramic scene without occlusion between two sensors: a dense spatio-temporal volume from a camera and distance information from a laser scanner. We resample the dense spatio-temporal volume for generating a dense multi-perspective panorama that has equal spatial resolution to that of the original images acquired using a regular camera, and also estimate a dense panoramic depth-map corresponding to the generated reference panorama by extracting trajectories from the dense spatio-temporal volume with a selecting camera. Moreover, for determining distance information robustly, we propose a data fusion algorithm that is embedded into an energy minimization framework that incorporates active depth measurements using a 2D laser range scanner and passive geometry reconstruction from an image sequence obtained using the CCD camera. Thereby, measurement precision and robustness can be improved beyond those available by conventional methods using either passive geometry reconstruction (stereo- vision techniques) or a laser range scanner. Experimental results using both synthetic and actual images show that our approach can produce high-quality panoramas and perform accurate 3D reconstruction in a panoramic environment.
On stabilization of discrete-time periodic TS systems

In this paper we consider controller design for periodic Takagi-Sugeno fuzzy models. For this, we use a periodic nonquadratic Lyapunov function defined at the time instants when the subsystems switch. Using the proposed conditions we are able to handle periodic Takagi-Sugeno systems where the local models or even the subsystems are unstable or cannot be stabilized. The application of the conditions is illustrated on numerical examples.
Analysis of energy and mobility model on opportunistic routing algorithms

An Opportunistic Network is an extreme network where the communication mainly depends on the mobility of the participating nodes to address the intermittent connectivity. This opportunistic routing utilizes a store-carry-forward paradigm exploiting node mobility and local forwarding to transfer the messages. The mobile nodes are normally low-power portable wireless communication devices employing as wireless ad hoc network for multi-hop transmission. With the limited resource, the performance of the routing protocols can be degraded. Thus, it is vital to consider the energy consumption of the mobile node in this opportunistic environment, especially with different mobility patterns. This paper aims to study and analyze the energy usage on the node mobility. The results from the simulations show that MapBased mobility models consume more energy than random based mobility models while gaining higher delivery ratio. In the random based models, random direction consume more power than random waypoint and random walk respectively.
Assessing the Quality of Sustainability Reporting : An Alternative Methodological Approach

Against the background of the growing importance in corporate sustainability reporting, the Institute for Sustainable Management at the University of OAS in Aargau, North-Western Switzerland, instituted a research project in 2003. This represents one of the first attempts to perform a quantitative and qualitative analysis of corporate sustainability reporting in Switzerland. This is the second and, at the time, most comprehensive national study worldwide on reporting practices. The object of this paper is to reflect the methodology of the Swiss study independent of other procedures used to-date. The extent to which the new methodological approach overcomes the weaknesses of other approaches will primarily be demonstrated. Secondly, the research team’s findings from the results of the study and interviews with managers from 25 Swiss companies in connection with the study will be presented.
Observation of Gamma-Ray Emission from the Galaxy M87 above 250 GeV with VERITAS

The multiwavelength observation of the nearby radio galaxy M87 provides a unique opportunity to study in detail processes occurring in active galactic nuclei from radio waves to TeV γ-rays. Here we report the detection of γ-ray emission above 250 GeV from M87 in spring 2007 with the VERITAS atmospheric Cerenkov telescope array and discuss its correlation with the X-ray emission. The γ-ray emission is measured to be pointlike with an intrinsic source radius less than 4.5′. The differential energy spectrum is fitted well by a power-law function: dΦ/dE = (7.4 ± 1.3stat ± 1.5sys)(E/TeV)(− 2.31 ± 0.17stat ± 0.2sys) 10−9 m−2 s−1 TeV−1. We show strong evidence for a year-scale correlation between the γ-ray flux reported by TeV experiments and the X-ray emission measured by the ASM RXTE observatory, and discuss the possible short-timescale variability. These results imply that the γ-ray emission from M87 is more likely associated with the core of the galaxy than with other bright X-ray features in the jet.
Low frequency ultrasounds in medicine

Ultrasound energy at frequency lower than 200 kHz has been used recently in medical field for transdermal drug transport and therapy with experimental results better than high frequency ultrasound at few MHz. As a consequence, the low frequency ultrasounds are gained more interest in the medical field. In the paper we review the most promising application of low frequency ultrasounds with emphasis on technology transducers and measurements. Furthermore, we propose a piezopolymer transducer, originally aimed to emulate the bat bio-sonar, that has low acoustic impedance to match biological tissue. It is light, small and low cost and could be used for medical application.
Inspired Clustering Methods in The Electrocardiogram Interpretation Process in

The paper focuses on the field of artificial intelligence techniques and their use in biomedical data processing. It concentrates on the clustering techniques inspired by various ant colonies and other nature concepts. The paper evaluates the use of the following nature inspired methods: Ant Colony inspired Clustering, Ant Colony inspired method for Decision Tree generation, Radial Basis Function Neural Networks with different learning algorithms and compare them to classical approaches, such as k-means and hierarchical clustering. The methods have been evaluated using the annotated MIT-BIH database. Use of the Dynamic Time Warping measure improved Sensitivity about 0.7 % and Specificity about 0.9 % when compared to classical feature extraction. The best-performing method is the agglomerative hierarchical clustering (Se=94.3, Sp=74.1), however it is practically unusable as it is memory and computational demanding. Acceptable results (complexity vs. error) have been obtained by the Ant-Colony inspired method for Decision tree generation (Se=93.1, Sp=72.8). 1 Introduction Arrhythmia diagnosis and ECG interpretation is an important non-invasive step in clinical diagnosis process. The presence of significant heart arrhythmias is an important marker of cardiac death. In our work we study the use of nature inspired techniques in the process of ECG interpretation. During the analysis of Holter recording a huge amount of data is presented to the cardiologist. In commercial systems, mainly the template-matching method is used. The speed of final record evaluation and automated analysis is crucial. In clinical practice, 5 minutes of automated off-line data processing for 24Â˘ ahour recording is considered as acceptable [1]. In this paper, the ant-colony inspired methods are used for biomedical data clustering. The clustering algorithms can be classified as stochastic or deterministic. The clustering optimization (minimization of an objective function) can be accomplished using traditional techniques or through a random search of the state space driven by metaheuristics. The state space consists of all possible labelings. 2.1 Radial basis function (RBF) artificial neural networks Radial basis function (RBF) neural networks (RBF-NN) have been introduced by Broomhead and Lowe in 1998 [2]. The model is inspired by the locally tuned response observed in biologic neurons that can be found in several parts of the nervous system, for example cells in the auditory systems which are selective to small bands of frequencies, in visual cortex, etc. Such locally tuned neurons show response characteristics bounded to a small range of the input space. Using a supervised learning method, the RBF neural …
Use of Anisotropy, 3D Segmented Atlas, and Computational Analysis to Identify Gray Matter Subcortical Lesions Common to Concussive Injury from Different Sites on the Cortex

Traumatic brain injury (TBI) can occur anywhere along the cortical mantel. While the cortical contusions may be random and disparate in their locations, the clinical outcomes are often similar and difficult to explain. Thus a question that arises is, do concussions at different sites on the cortex affect similar subcortical brain regions? To address this question we used a fluid percussion model to concuss the right caudal or rostral cortices in rats. Five days later, diffusion tensor MRI data were acquired for indices of anisotropy (IA) for use in a novel method of analysis to detect changes in gray matter microarchitecture. IA values from over 20,000 voxels were registered into a 3D segmented, annotated rat atlas covering 150 brain areas. Comparisons between left and right hemispheres revealed a small population of subcortical sites with altered IA values. Rostral and caudal concussions were of striking similarity in the impacted subcortical locations, particularly the central nucleus of the amygdala, laterodorsal thalamus, and hippocampal complex. Subsequent immunohistochemical analysis of these sites showed significant neuroinflammation. This study presents three significant findings that advance our understanding and evaluation of TBI: 1) the introduction of a new method to identify highly localized disturbances in discrete gray matter, subcortical brain nuclei without postmortem histology, 2) the use of this method to demonstrate that separate injuries to the rostral and caudal cortex produce the same subcortical, disturbances, and 3) the central nucleus of the amygdala, critical in the regulation of emotion, is vulnerable to concussion.
Edge based texture synthesis with orthogonal polynomials model

In this paper, we introduce a novel edge-based synthesis method with orthogonal polynomials model that texture synthesis techniques through the use of edge feature matching. Initially, the OP model is applied to input image and coefficient blocks of the input texture are efficiently synthesized to form the output texture and unlike other synthesized algorithms. The proposed OP model edge is identifying the zero crossings in the second directional derivatives. Apply the edge magnitude along calculate the horizontal and vertical direction. Finally, the best feature matched patch is identified for texture synthesize. From the experiments and results, it is proved that the proposed texture synthesis technique outperforms the traditional system in terms of computation time and accuracy.
Seven goals for the design of constructivist learning environments

An elastomeric lamp base fastened to a vehicle body surface seals a protective cavity into which conductors extend. Conductive contact elements embedded in the base body for electrical power and ground paths from different terminal socket locations adapted to accommodate different types of lamp units. A resilient rim on the base releasably holds the lamp unit firmly seated in the base with the lamp terminals received in the appropriate socket formations.
Family Climate and Adolescent Aggression: An Analysis of their Relationships

The aim of this study was to examine the relationship between family functioning (problem solving, communication, roles, affective responsiveness, affective involvement, behaviour control and general functioning) and the development of different expressions of aggressive behaviour in adolescents. Data were collected from a sample of 722 Spanish adolescents who completed the Family Assessment Device and the self-report form of the Children’s Social Behavior Scale. Regression analyses confirmed the specific influence of different dimensions of family functioning on specific types of aggressive behaviour in adolescents. These findings pointed out that a better understanding of family functioning dimensions is necessary in order to design specific interventions for aggressive adolescents.
Highly sensitive and specific microRNA expression profiling using BeadArray technology

We have developed a highly sensitive, specific and reproducible method for microRNA (miRNA) expression profiling, using the BeadArray™ technology. This method incorporates an enzyme-assisted specificity step, a solid-phase primer extension to distinguish between members of miRNA families. In addition, a universal PCR is used to amplify all targets prior to array hybridization. Currently, assay probes are designed to simultaneously analyse 735 well-annotated human miRNAs. Using this method, highly reproducible miRNA expression profiles were generated with 100–200 ng total RNA input. Furthermore, very similar expression profiles were obtained with total RNA and enriched small RNA species (R2 ≥ 0.97). The method has a 3.5–4 log (105–109 molecules) dynamic range and is able to detect 1.2- to 1.3-fold-differences between samples. Expression profiles generated by this method are highly comparable to those obtained with RT–PCR (R2 = 0.85–0.90) and direct sequencing (R = 0.87–0.89). This method, in conjunction with the 96-sample array matrix should prove useful for high-throughput expression profiling of miRNAs in large numbers of tissue samples.
Tree seedling richness, but not neighborhood composition, influences insect herbivory in a temperate deciduous forest community

Abstract Insect herbivores can serve as important regulators of plant dynamics, but their impacts in temperate forest understories have received minimal attention at local scales. Here, we test several related hypotheses about the influence of plant neighborhood composition on insect leaf damage in southwestern Pennsylvania, USA. Using data on seedlings and adult trees sampled at 36 sites over an approximately 900 ha area, we tested for the effects of total plant density, rarefied species richness (i.e., resource concentration and dietary‐mixing hypotheses), conspecific density (i.e., Janzen–Connell hypothesis), and heterospecific density (i.e., herd‐immunity hypothesis), on the proportion of leaf tissue removed from 290 seedlings of 20 species. We also tested for the effects of generic‐ and familial‐level neighborhoods. Our results showed that the proportion of leaf tissue removed ranged from zero to just under 50% across individuals, but was generally quite low (<2%). Using linear mixed models, we found a significant negative relationship between insect damage and rarefied species richness, but no relationship with neighborhood density or composition. In addition, leaf damage had no significant effect on subsequent seedling growth or survival, likely due to the low levels of damage experienced by most individuals. Our results provide some support for the resource concentration hypothesis, but suggest a limited role for insect herbivores in driving local‐scale seedling dynamics in temperate forest understories.