Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural Network based Fingerprint Classification

This paper introduces a new approach of fingerprint classification system based on ANN. Most automated fingerprint identification system uses prior classification of fingerprint using minutiae as feature. But in such methods the performance of minutiae extractions relies heavily on an enhancement algorithm and also it needs improvement as they are limited to the number of classable data. Thus many fingerprints are classified together, taking a long time to match and verify a given fingerprint. So instead of classification using minutiae we proposed a classification system that is based on individual features like singular point. Singular point detection is very robust and reliable, which overcomes the problem about rotation and translation. Classification efficiency is improved using Back Propagation Algorithm because we don’t need to compare an input fingerprint image to all registered fingerprint images. The algorithm is tested accurately and reliably for many fingerprint images in FVC2004 database.
Micro-politics, Senior Management Teams, and Principals’ Inner Circle: A Structural Exploration

ABSTRACT This study adopts a structural perspective to explore micro-politics in senior management teams and identify the principals’ inner circle. Based on data from an Israeli random sample of state primary teachers, profiles of trust in principal are identified and used to break down the subgroups of teachers serving in various roles in senior management teams. Odd ratios and two-sample t-tests between percentage analyses revealed that senior management teams are composed from three layers. Two layers form the principals’ inner circle and include the vice-principal as a central political ally and the more political layer of officials (form heads) chosen as part of a reward or cooptation strategy. The third layer (counselors and subject heads) of senior management teams is less political, and these teachers are less likely to be part of the inner circle. The implications for research and practice are discussed, particularly in regard to idealized discourse on distributed leadership.
Decoding glutamate receptor activation by the Ca2+ sensor protein hippocalcin in rat hippocampal neurons

Hippocalcin is a Ca2+‐binding protein that belongs to a family of neuronal Ca2+sensors and is a key mediator of many cellular functions including synaptic plasticity and learning. However, the molecular mechanisms involved in hippocalcin signalling remain illusive. Here we studied whether glutamate receptor activation induced by locally applied or synaptically released glutamate can be decoded by hippocalcin translocation. Local AMPA receptor activation resulted in fast hippocalcin‐YFP translocation to specific sites within a dendritic tree mainly due to AMPA receptor‐dependent depolarization and following Ca2+influx via voltage‐operated calcium channels. Short local NMDA receptor activation induced fast hippocalcin‐YFP translocation in a dendritic shaft at the application site due to direct Ca2+influx via NMDA receptor channels. Intrinsic network bursting produced hippocalcin‐YFP translocation to a set of dendritic spines when they were subjected to several successive synaptic vesicle releases during a given burst whereas no translocation to spines was observed in response to a single synaptic vesicle release and to back‐propagating action potentials. The translocation to spines required Ca2+influx via synaptic NMDA receptors in which Mg2+ block is relieved by postsynaptic depolarization. This synaptic translocation was restricted to spine heads and even closely (within 1–2 μm) located spines on the same dendritic branch signalled independently. Thus, we conclude that hippocalcin may differentially decode various spatiotemporal patterns of glutamate receptor activation into site‐ and time‐specific translocation to its targets. Hippocalcin also possesses an ability to produce local signalling at the single synaptic level providing a molecular mechanism for homosynaptic plasticity.
Modeling Bipartite Graphs Using Hierarchical Structures

Bipartite networks are often used to capture the relationships between different classes of objects. To model the structure of bipartite networks, we propose a new hierarchical model based on a hierarchical random graph model originally designed for one-mode networks. The new model can better preserve the network fidelity as well as the assortative and disassortative structures of bipartite networks. We apply the proposed model on some paper-author networks in DBLP to find their optimal hierarchical structures. Using the optimal bipartite hierarchical structure, we regenerate networks that exhibit the similar network properties and degree distribution as the observed networks.
Exploring multimedia in a keyword space

We address the problem of searching multimedia by semantic similarity in a keyword space. In contrast to previous research we represent multimedia content by a vector of keywords instead of a vector of low-level features. This vector of keywords can be obtained through user manual annotations or computed by an automatic annotation algorithm. In this setting, we studied the influence of two aspects of the search by semantic similarity process: (1) accuracy of user keywords versus automatic keywords and (2) functions to compute semantic similarity between keyword vectors of two multimedia documents. We consider these two aspects to be crucial in the design of a keyword space that can exploit social-media information and can enrich applications such as Flickr and YouTube. Experiments were performed on an image and a video dataset with a large number of keywords, with different similarity functions and with two annotation methods. Surprisingly, we found that multimedia semantic similarity with automatic keywords performs as good as or better than 95% accurate user keywords.
Fitness-Related Resistance Training-with which Training Intensities do Recreational Athletes Train?

Training intensity is considered to be one of the most important loading parameters in strength training.This also applies to fitness-related strength training in commercial fitness clubs. More than 10 million recreational athletes perform fitness-related resistance training in German fitness clubs. However, hardly any evidence can be found on the implementation of scientific training recommendations to control the training intensity of resistance training within this setting. The common used method to control training intensity in fitness-related strength training is to quantify the athletes’ rate of perceived exertion (RPE). It is widely unknown if this approach to control training intensity is in accordance to the recognized recommendations in the relevant scientific training literature. This gap in research was a desideratum for a multicenter-study in German fitness clubs. One branch of research in this study was the evaluation of the realized weight loads of recreational athletes working with RPE-based training intensity in relation to the one repetition maximum (1-RM) as a recognized reference value to control training intensity in strength training. Training intensitiesof 211 recreational athletes (N=99 women, N=112 men) were analyzed. The average realized training intensity over a training period of six weeks was 54.50% of 1-RM (±6.58). This training intensity lies far off from any scientific training recommendations and is clearly too low. It must be called into question, if strength training with such low intensity is an effective and efficient workout to reach the expected training goals of fitness customers. These study results confirm the need for evidence-based strength training protocols in fitness-related resistance training.
Word Sense Disambiguation in Bengali applied to Bengali-Hindi Machine Translation

We have developed a word sense disambiguation(WSD) system for Bengali language and applied the system to get correct lexical choice in Bengali-Hindi machine translation. We are not aware of any existing system for Bengali WSD. Since there is no sense annotated Bengali corpus or sufficient amount of parallel corpus for Bengali-Hindi language pair, we had to use an unsupervised approach. We use a graph based method to find sense clusters in Bengali language. Following this we use a vector space based approach to map these sense clusters to Hindi translations of the target word and to predict translation of the target word in test instance. We used monolingual Bengali and Hindi corpora and the available Bengali and Hindi wordnet and bilingual sense dictionary.
A longitudinal analysis of the relationship between self-compassion and the psychological effects of perceived stress

ABSTRACT Self-compassion is consistently associated with psychological well-being, but most research has examined their relationship at only a single point in time. This study employed a longitudinal design to investigate the relationship between baseline self-compassion, perceived stress, and psychological outcomes in college students (n = 462) when the outcomes were measured both concurrently with perceived stress and after a lag of six months. Self-compassion moderated the effects of perceived stress such that stress was less strongly related to depression, anxiety, and negative affect among participants who scored high rather than low in self-compassion. Self-compassion also moderated the effects of perceived stress on depression and anxiety prospectively after six months. Self-compassion predicted positive affect but moderated the effects of perceived stress on positive affect in only one analysis. This study suggests that high self-compassion provides emotional benefits over time, partly by weakening the link between stress and negative outcomes.
Viscous Boundary-Layer Damping of r-Modes in Neutron Stars

Recent work has raised the exciting possibility that r-modes (Rossby waves) in rotating neutron star cores might be strong gravitational-wave sources. We estimate the effect of a solid crust on their viscous damping rate and show that the dissipation rate in the viscous boundary layer between the oscillating fluid and the nearly static crust is more than 105 times higher than that from the shear throughout the interior. This increases the minimum frequency for the onset of the gravitational r-mode instability to at least 500 Hz when the core temperature is less than 1010 K. It eliminates the conflict between the r-mode instability and the accretion-driven spin-up scenario for millisecond radio pulsars and makes it unlikely that the r-mode instability is active in accreting neutron stars. For newborn neutron stars, the formation of a solid crust shortly after birth affects their gravitational-wave spin-down and hence their detectability by ground-based interferometric gravitational-wave detectors.
Harmonic control: A natural way to bridge resonant control and repetitive control

A new recursive control method named harmonic control is proposed to provide a tailor-made zero tracking error control solution to the tracking or elimination of selective harmonic frequencies. Harmonic control can exclusively choose control gains at selective harmonic frequencies, and can yield much fast convergence rate at these frequencies. It makes a good trade-off between resonant control and repetitive control: a parallel combination of multiple resonant controllers can track/eliminate selective harmonic frequencies very fast, but cause heavy parallel computation; a repetitive controller that is in compact recursive form can achieve zero tracking error at all harmonic frequencies, but yields slow convergence rates at selective harmonic frequencies. The analysis and synthesis of harmonic control are addressed. An application example of harmonic controlled three-phase PWM inverter demonstrates the effectiveness of the proposed harmonic control scheme.
Securing Timeout Instructions in Web Applications

Timeout mechanisms are a useful feature for web applications. However, these mechanisms need to be used with care because, if used as-is, they are vulnerable to timing attacks. This paper focuses on internal timing attacks, a particularly dangerous class of timing attacks, where the attacker needs no access to a clock. In the context of client-side web application security, we present JavaScript-based exploits against the timeout mechanism of the DOM (document object model), supported by the modern browsers. Our experimental findings reveal rather liberal choices for the timeout semantics by different browsers and motivate the need for a general security solution. We propose a foundation for such a solution in the form of a runtime monitor. We illustrate for a simple language that, while being more permissive than a typical static analysis, the monitor enforces termination-insensitive noninterference.
Novelty Paper Recommendation Using Citation Authority Diffusion

Survey of academic literature or papers should be considered with both relevance and importance of references. Authors cite related references by considering integrity and novelty. However, the state-of-art publicly academic search engines and services can only recommend related papers of a certain topic. It shows to manually evaluate the novelty of the recommended papers is necessary. In this paper, we propose a citation-network-based methodology, namely Citation Authority Diffusion (CAD), to rapidly mine the limited key papers of a topic, and measure the novelty on literature survey. A defined Authority Matrix ($AM$) is used to standardize duplication rate of authors and to describe the authority relation between the citing and the cited papers. Based on $AM$, our $CAD$ methodology leverages the Belief Propagation to diffuse the authority among the citation network. Therefore, CAD transforms the converged citation network to a novelty paper list to researchers. The experimental results show CAD can mine more novelty papers by using real-world cases.
Random Walks on Quasirandom Graphs

Let $G$ be a quasirandom graph on $n$ vertices, and let $W$ be a random walk on $G$ of length $\alpha n^2$. Must the set of edges traversed by $W$ form a quasirandom graph? This question was asked by Bottcher, Hladký, Piguet and Taraz. Our aim in this paper is to give a positive answer to this question. We also prove a similar result for random embeddings of trees.
Advancing the match-mismatch framework for large herbivores in the Arctic: Evaluating the evidence for a trophic mismatch in caribou

Climate-induced shifts in plant phenology may adversely affect animals that cannot or do not shift the timing of their reproductive cycle. The realized effect of potential trophic “mismatches” between a consumer and its food varies with the degree to which species rely on dietary income and stored capital. Large Arctic herbivores rely heavily on maternal capital to reproduce and give birth near the onset of the growing season but are they vulnerable to trophic mismatch? We evaluated the long-term changes in the temperatures and characteristics of the growing seasons (1970–2013), and compared growing conditions and dynamics of forage quality for caribou at peak parturition, peak lactation, and peak forage biomass, and plant senescence between two distinct time periods over 36 years (1977 and 2011–13). Despite advanced thaw dates (7−12 days earlier), increased growing season lengths (15−21 days longer), and consistent parturition dates, we found no decline in forage quality and therefore no evidence within this dataset for a trophic mismatch at peak parturition or peak lactation from 1977 to 2011–13. In Arctic ungulates that use stored capital for reproduction, reproductive demands are largely met by body stores deposited in the previous summer and autumn, which reduces potential adverse effects of any mismatch between food availability and timing of parturition. Climate-induced effects on forages growing in the summer and autumn ranges, however, do correspond with the demands of female caribou and their offspring to gain mass for the next reproductive cycle and winter. Therefore, we suggest the window of time to examine the match-mismatch framework in Arctic ungulates is not at parturition but in late summer-autumn, where the multiplier effects of small changes in forage quality are amplified by forage abundance, peak forage intake, and resultant mass gains in mother-offspring pairs.
A DCT-based Metric for Fractal Image Compression

IFS compression technique, proposed by Barnsley [1], has been widely studied because of its potentially high compression rates. Usually IFS code is determined by minimizing the rms error between a given image and its collage. As rms error is not a physiological metric, images obtained through the standard IFS coding evidence a lot of noise (blocking effect, bad definition). In order to reduce this feeling of noise without incurring in any compression loss, we applied IFS method to minimize the weighted error between the DCT of the given image, partitioned in 8 x 8 sub-blocks, and the DCT of its collage; the weighting is performed through the JPEG matrix. This metric allows us to take into account the physiological properties of human eye and to obtain images which we feel to be more similar to the original than the ones achieved through standard IFS with the rms metric.
Lowering the error floor of LDPC codes using cyclic liftings

Cyclic liftings are proposed to lower the error floor of low-density parity-check (LDPC) codes. The liftings are designed to eliminate dominant trapping sets of the base code by removing the short cycles which form the trapping sets. We derive a necessary and sufficient condition for the cyclic permutations assigned to the edges of a cycle c of length ℓ(c) in the base graph such that the inverse image of c in the lifted graph consists of only cycles of length strictly larger than ℓ(c). The proposed method is universal in the sense that it can be applied to any LDPC code over any channel and for any iterative decoding algorithm. It also preserves important properties of the base code such as degree distributions. The proposed method is applied to both structured and random codes over the binary symmetric channel (BSC). The error floor improves consistently by increasing the lifting degree, and the results show significant improvements in the error floor compared to the base code, a random code of the same degree distribution and block length, and a random lifting of the same degree. Similar improvements are also observed when the codes designed for the BSC are applied to the additive white Gaussian noise (AWGN) channel.
Nonuniform Boolean constraint satisfaction problems with cardinality constraint

We study the computational complexity of Boolean constraint satisfaction problems with cardinality constraint. A Galois connection between clones and coclones has received a lot of attention in the context of complexity considerations for constraint satisfaction problems. This connection does not seem to help when considering constraint satisfaction problems that support in addition a cardinality constraint. We prove that a similar Galois connection, involving a weaker closure operator and partial polymorphisms, can be applied to such problems. Thus, we establish dichotomies for the decision as well as for the counting problems in Schaefer's framework.
Gaze and turn-taking behavior in casual conversational interactions

Eye gaze is an important means for controlling interaction and coordinating the participants' turns smoothly. We have studied how eye gaze correlates with spoken interaction and especially focused on the combined effect of the speech signal and gazing to predict turn taking possibilities. It is well known that mutual gaze is important in the coordination of turn taking in two-party dialogs, and in this article, we investigate whether this fact also holds for three-party conversations. In group interactions, it may be that different features are used for managing turn taking than in two-party dialogs. We collected casual conversational data and used an eye tracker to systematically observe a participant's gaze in the interactions. By studying the combined effect of speech and gaze on turn taking, we aimed to answer our main questions: How well can eye gaze help in predicting turn taking? What is the role of eye gaze when the speaker holds the turn? Is the role of eye gaze as important in three-party dialogs as in two-party dialogue? We used Support Vector Machines (SVMs) to classify turn taking events with respect to speech and gaze features, so as to estimate how well the features signal a change of the speaker or a continuation of the same speaker. The results confirm the earlier hypothesis that eye gaze significantly helps in predicting the partner's turn taking activity, and we also get supporting evidence for our hypothesis that the speaker is a prominent coordinator of the interaction space. Such a turn taking model could be used in interactive applications to improve the system's conversational performance.
Infrastructureless smart cities. Use cases and performance

Smart cities are a hot topic nowadays for several reasons. For city managers and citizens a smart city is a concept that should allow providing better services and/or with more efficiency. For technicians a smart city represents one of the large-scale deployments of equipment for data capturing, storage and processing. For Internet researchers a smart city can become the first massive installments of the Internet of Things concept. Smart cities are commonly implemented in several parts: the data acquisition and actuation, the aggregation networks that connect sensors/actuators with the general purpose network, the platform where data is stored and processed and the application that use the information for informing the city managers and citizens. The most costly parts of a smart city are the sensor/actuator and the aggregation network. This cost is due mainly due to the deployment and maintenance of the equipment on the city street. This paper describes the different alternatives for building the aggregation networks and provides a novel approach to facilitate the deployment of a smart city. This new solution has been tested in a real scenario achieving satisfactory results.
Penerapan inventory tes gaya belajar remaja dengan aplikasi google form, media sosial serta pengembangan program layanan bimbingan dan konseling terkait

Student learning outcomes are low and not optimal is a common problem that occurs in adolescents in almost all schools in Indonesia. One reason, teachers are less than optimal in accommodating student learning styles. This text tries to offer an alternative that teachers can do, especially BK teachers / counselors, to introduce learning styles using very easy-to-create applications using the google form application and utilizing social media for socialization. This paper only provides a brief description, so for the future need further research and follow-up.