Miracle-dz/UniFAR-FTUs huggingface dataset:
Authentication Feature and Model Selection using Penalty Algorithms

Continuous Authentication (CA) is the process of verifying the identity of the user of an electronic device repeatedly while the device is in use. Existing research in the field employs metrics such as Equal Error Rate (EER) and/or the Receiver Operating Characteristic (ROC) to evaluate the performance in the same way as ‘entry-point’ biometric authentication schemes. These metrics have various shortcomings with regard to CA as they fail to model the practical implications of the authentication process. We would like to discuss and get feedback on performance evaluation techniques that capture practical aspects of the authentication system including the length and frequency of times an impostor reaches di↵erent authentication levels and similarly for the genuine user. Our preliminary results show that a multi-level authentication system is not only more accurate than a binary diagnosis but it allows for high level of accuracy. We posit that further research is needed in developing such a metric for truly evaluating a CA system. 1. PROPOSED APPROACH
Peak expiratory flow values are higher in older and taller healthy male children: an observational study.

PURPOSE Peak expiratory flow (PEF) was measured in healthy children aged five to ten years in order to provide baseline values and to determine correlations between PEF and factors such as gender, age and type of school. METHODS After the Ethical Committee of Research in Human of the School of Medicine of ABC - FMABC approval, PEF and height were measured in 1942 children between five and ten years old from nine public schools and nine private schools throughout São Bernardo do Campo City. PEF was measured using the Mini-Wright Peak Flow Meter (Clement Clarke International Ltd.) and. height was measured using a Sanny professional stadiometer . RESULTS Significant differences were found in values for PEF: higher values were seen in older students in comparison with younger students, in males in comparison with females and in students from private schools in comparison with public schools, with average values ranging from 206 L/min to 248 L/min,. Linear correlations were seen for PEF values with both height and age (Spearman Coefficient). CONCLUSIONS Differences were seen for PEF between genders and between types of school, and a linear correlation was seen for PEF with both age and height in healthy children from five to ten years old.
Improved k-means clustering with Harmonic-Bee algorithms

Data clustering is one of widely used methods for data mining. The k-means approach is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. But some hindrances such as the sensitivity to initial values and cluster centers or the risk of trapping in local optimal reduce its best performance. The purpose of kmeans method is minimizing the dissimilarity of observations, from cluster centers. In this paper, a new solution method inspired by harmony search combined with bee algorithm is introduced to improve performance k-means clustering. In this study, harmony and clustering structures are combined to produce harmony clustering. To avoid initial random selection, seed cluster center is considered in primary population as well as bee algorithm has been employed to increase the efficiency of algorithm. The proposed methods have been tested on standard benchmark data sets and also compared to other methods in the literature; it is noted that results show a promising performance leading to better efficiency and capability of the proposed solution.
Third-order nonlinear time domain probes of solvation dynamics

Several closely related third‐order nonlinear time‐resolved spectroscopic techniques, pump/probe transient absorption, transient grating, and three pulse stimulated photon echo peak shift measurements, are investigated theoretically and experimentally. It is shown in detail, through the consideration of response functions and numerical simulations including both finite pulse durations and detuning from exact resonance, how the solvation dynamics are manifested in these third‐order nonlinear time‐resolved spectroscopies. It is shown that the three pulse stimulated photon echo peak shift measurement and the transient grating measurement can give accurate dynamical information, whereas transient absorption may not be a reliable technique for a study of solvation dynamics in some cases. The contribution of very slow or static (inhomogeneous) components to the dynamics, however, can only be obtained from the three pulse echo peak shift measurements. Comprehensive experimental measurements are presented to illu.
Cooperation between Aerial and Ground vehicle groups for Reconnaissance missions

In this paper, we focus on the interaction between a group of ground vehicles and a group of aerial vehicles. The ground agents interact through time-invariant rules, synchronize their velocities using a TDMA-based communication protocol, and maintain cohesion and separation by means of interagent potential forces. Ground vehicles estimate their formation's centroid using delayed information and transmit their estimates to the aerial group which circles the ground formation's centroid while avoiding midair collisions. Stability of the ground group motion is established in a Lyapunov framework, exploiting the properties of the non-negative matrices involved. A Lyapunov analysis is also used to ensure that UAVs track the ground group's centroid
Prickle1 mutation causes planar cell polarity and directional cell migration defects associated with cardiac outflow tract anomalies and other structural birth defects

ABSTRACT Planar cell polarity (PCP) is controlled by a conserved pathway that regulates directional cell behavior. Here, we show that mutant mice harboring a newly described mutation termed Beetlejuice (Bj) in Prickle1 (Pk1), a PCP component, exhibit developmental phenotypes involving cell polarity defects, including skeletal, cochlear and congenital cardiac anomalies. Bj mutants die neonatally with cardiac outflow tract (OFT) malalignment. This is associated with OFT shortening due to loss of polarized cell orientation and failure of second heart field cell intercalation mediating OFT lengthening. OFT myocardialization was disrupted with cardiomyocytes failing to align with the direction of cell invasion into the outflow cushions. The expression of genes mediating Wnt signaling was altered. Also noted were shortened but widened bile ducts and disruption in canonical Wnt signaling. Using an in vitro wound closure assay, we showed Bj mutant fibroblasts cannot establish polarized cell morphology or engage in directional cell migration, and their actin cytoskeleton failed to align with the direction of wound closure. Unexpectedly, Pk1 mutants exhibited primary and motile cilia defects. Given Bj mutant phenotypes are reminiscent of ciliopathies, these findings suggest Pk1 may also regulate ciliogenesis. Together these findings show Pk1 plays an essential role in regulating cell polarity and directional cell migration during development. Summary: Outflow tract malalignment and multiple birth defects observed in the Prickle1 mutant may arise from cell polarity perturbation, which may involve disruptions in Wnt signaling and of cilia function.
Polyhydroxybutyrate Targets Mammalian Mitochondria and Increases Permeability of Plasmalemmal and Mitochondrial Membranes

Poly(3-hydroxybutyrate) (PHB) is a polyester of 3-hydroxybutyric acid (HB) that is ubiquitously present in all organisms. In higher eukaryotes PHB is found in the length of 10 to 100 HB units and can be present in free form as well as in association with proteins and inorganic polyphosphate. It has been proposed that PHB can mediate ion transport across lipid bilayer membranes. We investigated the ability of PHB to interact with living cells and isolated mitochondria and the effects of these interactions on membrane ion transport. We performed experiments using a fluorescein derivative of PHB (fluo-PHB). We found that fluo-PHB preferentially accumulated inside the mitochondria of HeLa cells. Accumulation of fluo-PHB induced mitochondrial membrane depolarization. This membrane depolarization was significantly delayed by the inhibitor of the mitochondrial permeability transition pore - Cyclosporin A. Further experiments using intact cells as well as isolated mitochondria confirmed that the effects of PHB directly linked to its ability to facilitate ion transport, including calcium, across the membranes. We conclude that PHB demonstrates ionophoretic properties in biological membranes and this effect is most profound in mitochondria due to the selective accumulation of the polymer in this organelle.
An Application Conflict Detection and Resolution System for Smart Homes

One of the applications of Cyber-Physical Systems (CPSs) is the Smart Homes. In Smart Homes, multiple apps operate the sensors and actuators to provide rich user experience in a living environment. Because actuators are entities that affect the surrounding environment, conflicts may occur if two or more apps are running simultaneously, especially when they try to use a single actuator or when they use different actuators causing different effects. There have been attempts to resolve these conflicts at app installation time. However the state-of-the-art solutions can detect conflicts only if the apps actuate on devices with conditions based on time, and resolute conflicts by creating a total order between all apps, regardless of the situations of the conflicts. In this paper, we create a Kripke structure to detect conflicts by model-checking the assertion "no two apps use actuators to create different effects at the same location". Our proposed system, which provides install-time conflict detection, enables detection of application conflicts triggered by conditions based on events. In addition, it supports users in prioritising apps by reducing the number of conflicts by dividing them into groups of the same situation which are meaningful to the users. By prioritising apps for each situation, rather than creating a total order, our system allows the apps to run in a more flexible way.
Review of Image Enhancement Techniques

In modern development, the world is imposing need of quality or correct information of images out of the poor contrast and distorted images. The image enhancement techniques are becoming global research phenomenon. In this paper a review of different image enhancement techniques were studied and presented. The scope and advantages of these enhancement techniques were discussed. The critical problems in application like quality index based enhancement are proposing in this paper. The authors studied the application of image quality assessment techniques to relate in the image enhancement techniques. In this regard some proposed work have been simulated and presented. A conclusion is drawn in this regard in the study. A future work in this direction of image enhancement techniques with consideration of image quality assessment components were taken up. Thus Authors are approaching towards this direction in future work.
On the characteristics of Internet traffic variability: spikes and elephants

Analysing and modeling of traffic play a vital role in designing and controlling of networks effectively. To construct a practical traffic model that can be used for various networks, it is necessary to characterize aggregated traffic and user traffic. This paper investigates these characteristics and their relationship. Our analyses are based on a huge number of packet traces from five different networks on the Internet. We found that: (1) marginal distributions of aggregated traffic fluctuations follow positively skewed (non-Gaussian) distributions, which leads to the existence of "spikes", where spikes correspond to an extremely large value of momentary throughput; (2) the amount of user traffic in a unit of time has a wide range of variability; and (3) flows within spikes are more likely to be "elephant flows", where an elephant flow is an IP flow with a high volume of traffic. These findings are useful in constructing a practical and realistic Internet traffic model.
Eurographics/ Ieee-vgtc Symposium on Visualization (2007) Segmentation of Dt-mri Anisotropy Isosurfaces

While isosurfaces of anisotropy measures for data from diffusion tensor magnetic resonance imaging (DT-MRI) are known to depict major anatomical structures, the anisotropy metric reduces the rich tensor data to a simple scalar field. In this work, we suggest that the part of the data which has been ignored by the metric can be used to segment anisotropy isosurfaces into anatomically meaningful regions. For the implementation, we propose an edge-based watershed method that adapts and extends a method from curvature-based mesh segmentation [MW99]. Finally, we use the segmentation results to enhance visualization of the data.
A Best-Offset Prefetcher

The Best-Offset (BO) prefetcher submitted to the DPC2 contest prefetches one line into the level-two (L2) cache on every cache miss or hit on a prefetched line. The prefetch line address is generated by adding an offset to the demand access address. The BO prefetcher tries to find automatically an offset value that yields timely prefetches with the highest possible coverage and accuracy. It evaluates an offset value by maintaining a table of recent requests addresses and by searching these addresses to determine whether the line currently requested would have been prefetched in time with that offset.
On the adequacy of UML-RT for performance validation of an SDH telecommunication system

This paper illustrates an industrial application of a performance validation methodology, which integrates software and resource models in a UML-RT development environment. The methodology is successfully applied on a synchronous digital hierarchy (SDH) telecommunication system modeled and simulated using the Rose Real Time toolset. The case study demonstrates the validity of the methodology, and it is an opportunity to refine the mechanisms of the methodology as well as to extend its scope. One of the key factors that the case study highlights is the concept of "transparency", i.e. the ability to apply a performance validation methodology without deeply modifying the software development process and environment.
Emotional Dynamics in the Age of Misinformation

According to the World Economic Forum, the diffusion of unsubstantiated rumors on online social media is one of the main threats for our society. The disintermediated paradigm of content production and consumption on online social media might foster the formation of homogeneous communities (echo-chambers) around specific worldviews. Such a scenario has been shown to be a vivid environment for the diffusion of false claim. Not rarely, viral phenomena trigger naive (and funny) social responses—e.g., the recent case of Jade Helm 15 where a simple military exercise turned out to be perceived as the beginning of the civil war in the US. In this work, we address the emotional dynamics of collective debates around distinct kinds of information—i.e., science and conspiracy news—and inside and across their respective polarized communities. We find that for both kinds of content the longer the discussion the more the negativity of the sentiment. We show that comments on conspiracy posts tend to be more negative than on science posts. However, the more the engagement of users, the more they tend to negative commenting (both on science and conspiracy). Finally, zooming in at the interaction among polarized communities, we find a general negative pattern. As the number of comments increases—i.e., the discussion becomes longer—the sentiment of the post is more and more negative.
Quantum User Authentication with Nonentanglement-Based QKD Protocol

In this paper, we propose a secure user authentication protocol with nonentanglement-based QKD on jammable public channels between two parties, Alice and Bob. First, via an arbitrator (Trent), the protocol provides both quantum authentication and quantum key distribution. Second, due to the registration to the trusted third party and the initial bit string of Alice (or Bob), used for reversing the photon, only Alice (or Bob) could make the operation according to IA (or IB) . In other words, the protocol also provides quantum signature.
Visualization of solution sets from automated docking of molecular structures

Aligning structures, often referred to as docking or registration, is frequently required in fields such as computer science, robotics and structural biology. The task of aligning the structures is usually automated, but due to noise and imprecision, the user often needs to evaluate the results before a final decision can be made. The solutions involved are of a multidimensional nature and normally densely populated. Therefore, some form of visualization is necessary, especially if users want to achieve higher level understanding, such as solution symmetry or clustering, from the data. We have developed a system that provides two views of the data. One view places focus on the orientation of the solutions and the other focuses on translations. Solutions within the views are crosslinked using various visual cues. Users are also able to apply various filters, intelligently reducing the solution set. We applied the visualization to data generated by the automated cryo-EM process of docking molecular structures into electron density maps. Current systems in this field only allow for visual representation of a single solution or a numerical list of the data. We evaluated the system through a multi-phase user study and found that the users were able to gain a better high-level understanding of the data, even in cases of relatively small solution sets.
A novel 3780-point FFT

This paper proposes a novel 3780-point FFT algorithm for the China national broadcasting standard. This new algorithm adopts the pure PFA (prime factor algorithm) and nested Winograd FFT which can realize the identity in the circuit structure. The simulation demonstrates that the new algorithm can achieve the equal accuracy rather than other methods but with the least quantity of multiplication.
Several New Plutonic-related Gold , Bismuth and Tungsten Occurrences in Southern British Columbia

Exploration interest in plutonic-related gold deposits in the Cordillera was initially sparked in the 1990s by the discovery and development of the Fort Knox bulk tonnage gold mine located near Fairbanks, Alaska. It has been rejuvenated by the discovery of the high-grade Liese Zone gold deposit (Smith et al., 1999) on the Pogo property in east-central Alaska, with a published resource of 8.89 million tonnes grading 17.83 g/t Au (Teck Corporation Annual Report, 1999). These deposits are part of the “Tintina Gold Belt” and are associated with mid-Cretaceous granitoid rocks of the Tombstone Plutonic Suite. They have a metal assemblage of gold-bismuth-tungsten-arsenic-tellurium-(molybdenum-antimony) and are considered to be plutonicor intrusion-related deposits, as described in recent review papers by McCoy et al. (1997), Poulson et al. (1997), Thompson et al. (1999), and Baker et al. (submitted).
Graph-based High Level Motion Segmentation using Normalized Cuts

Motion capture devices have been utilized in producing several contents, such as movies and video games. However, since motion capture devices are expensive and inconvenient to use, motions segmented from captured data was recycled and synthesized to utilize it in another contents, but the motions were generally segmented by contents producers in manual. Therefore, automatic motion segmentation is recently getting a lot of attentions. Previous approaches are divided into on-line and off-line, where ow line approaches segment motions based on similarities between neighboring frames and off-line approaches segment motions by capturing the global characteristics in feature space. In this paper, we propose a graph-based high-level motion segmentation method. Since high-level motions consist of repeated frames within temporal distances, we consider similarities between neighboring frames as well as all similarities among all frames within the temporal distance. This is achieved by constructing a graph, where each vertex represents a frame and the edges between the frames are weighted by their similarity. Then, normalized cuts algorithm is used to partition the constructed graph into several sub-graphs by globally finding minimum cuts. In the experiments, the results using the proposed method showed better performance than PCA-based method in on-line and GMM-based method in off-line, as the proposed method globally segment motions from the graph constructed based similarities between neighboring frames as well as similarities among all frames within temporal distances.
Language production and serial order: a functional analysis and a model.

In speech production, previously spoken and upcoming words can impinge on the word currently being said, resulting in perseverations (e.g., "beef needle soup") and anticipations (e.g., "cuff of coffee"). These errors reveal the extent to which the language-production system is focused on the past, the present, and the future and therefore are informative about how the system deals with serial order. This article offers a functional analysis of serial order in language and develops a general formal model. The centerpiece of the model is a prediction that the fraction of serial-order errors that are anticipatory, as opposed to perseveratory, can be closely predicted by overall error rate. The lower the error rate, the more anticipatory the errors are, regardless of the factors influencing error rate. The model is successfully applied to experimental and natural error data dealing with the effects of practice, speech rate, individual differences, age, and brain damage.
Can You Help Me Run These Code Segments on Your Mobile Device?

The proliferation of mobile devices, coupled by the increase in their capabilities, have enabled the establishment of a rich mobile computing platform for various applications. In this paper we propose a probabilistic code distribution model that enables a mobile device to execute code segments through the help of nearby mobile devices in a secure and resilient manner. The model relies on randomization and replication techniques against unhelpful devices that do not execute their assigned code segments and malicious ones that try to reveal the overall application. We derive bounds to ensure the success of our scheme with a very high probability. Simulation and implementation experiments using MICAz sensors are conducted to validate our model and study the performance of our scheme.
A gamma memory neural network for system identification

A gamma neural network topology is investigated for a system identification application. A discrete gamma memory structure is used in the input layer, providing delayed values of both the control inputs and the network output to the input layer. The discrete gamma memory structure implements a tapped dispersive delay line, with the amount of dispersion regulated by a single, adaptable parameter. The network is trained using static backpropagation, but captures significant features of the system dynamics. The system dynamics identified with the network are the Mach number dynamics of the 16 Foot Transonic Tunnel at NASA Langley Research Center, Hampton, Virginia. The training data spans an operating range of Mach numbers from 0.4 to 1.3. <<ETX>>