Miracle-dz/UniFAR-FTUs huggingface dataset:
Compressive sensing applied to fingerprint-based localisation

Accurate localisation has always been a hot topic for indoor environment. Recently, compressive sensing has been applied to fingerprinting based localisation and achieved good performance. This paper provides an overview of the state-of-the-art compressive sensing based indoor localisation techniques and an introduction to potential solutions to challenges faced by current systems. The main focus is on the drawbacks of the existing techniques and possible future development.
Dynamical thermal conductivity of argon crystal

The thermal conductivity of a rare-gas crystal (Ar) is computed using equilibrium molecular dynamics in conjunction with the Green-Kubo linear response formalism, and the Lennard-Jones potential with an appropriately long cutoff (4σ). Besides predicting absolute values of the conductivity from low temperature up to the liquid, the approach allows heat conduction to be understood as a dynamical process through the temporal behavior of the heat current correlation function. At low temperatures the correlation function shows a characteristic two-stage decay, a short-time relaxation which we attribute to single-particle motions in a local environment, and a more extended component corresponding to collective atomic motions (phonons). As temperature increases the second correlation component diminishes much faster than the first component, indicating a transition from mainly phase-coherent phonon transport to mainly phase-incoherent interatomic energy transfer in solids.
Face and Ear Biometric Recognition using PCA and LLE Algorithm

Multimodal biometric has great demands to overcome some problems involved in unimodal biometric system and it has become one of the most important research areas of pattern recognition. This paper present multimodal face and ear biometric verification system to improve the recognition rate. In this paper, a solution based on Principal Component Analysis (PCA) and Locally Linear Embedding (LLE) algorithms are proposed for the face and ear recognition respectively. The system is comprised of two components: 2D face recognition and 2D ear recognition. The Principal Component Analysis (PCA) is one of the most successful techniques that have been used to recognize face in images. Non Linear algorithm called Locally Linear Embedding(LLE) belonging to manifold learning technique is introduced and applied to recognize ear. LLE is considered an effective algorithm for dimensional reduction. LLE preserves intrinsic structure and relationships in a high dimensional space when data are mapped into low dimensional space. The proposed system shows that multimodal recognition system is very efficient to reduce the false rejection rate (FRR) and false acceptance rate (FAR).
N-acyl Homoserine Lactone-Producing Pseudomonas putida Strain T2-2 from Human Tongue Surface

Bacterial cell-to-cell communication (quorum sensing) refers to the regulation of bacterial gene expression in response to changes in microbial population density. Quorum sensing bacteria produce, release and respond to chemical signal molecules called autoinducers. Bacteria use two types of autoinducers, namely autoinducer-1 (AI-1) and autoinducer-2 (AI-2) where the former are N-acylhomoserine lactones and the latter is a product of the luxS gene. Most of the reported literatures show that the majority of oral bacteria use AI-2 for quorum sensing but rarely the AI-1 system. Here we report the isolation of Pseudomonas putida strain T2-2 from the oral cavity. Using high resolution mass spectrometry, it is shown that this isolate produced N-octanoylhomoserine lactone (C8-HSL) and N-dodecanoylhomoserine lactone (C12-HSL) molecules. This is the first report of the finding of quorum sensing of P. putida strain T2-2 isolated from the human tongue surface and their quorum sensing molecules were identified.
Employee Satisfaction from a Generational and Gender Perspective in the Puerto Rico Lodging Industry: an Exploratory Study

Through this study, the author examined the perceived job satisfaction among hotel-line employees in Puerto Rico to determine whether differences or similarities exist by generational cohorts and gender. This exploratory study was performed as literature lacks sound empirical research on the impact of generational differences in job satisfaction in the lodging industry. The investigation was performed by administering the job satisfaction survey designed by Spector (1995) to employees working in small, mid and large size hotels in Puerto Rico. Statistical techniques, including MANOVA and ANOVA, were used to determine the level of significance of the dependent variables that explains job satisfaction and the independent variables generations and gender. The results of this study found no significant differences among the perceived satisfaction when examined by gender. However, significant differences were found with the dependent variable coworkers among generation X and Y. No significant differences were found in this study among the perceived job satisfaction factors and overall satisfaction of hotel employees based on generational cohort and gender. This research contributes to literature by evidencing the first time different hotels in Puerto Rico open its doors to establish a point of reference on employees’ job satisfaction that will serve to
Research of Data Mining in Intrusion Detection System and the Uncertainty of the Attack

While the Intrusion Detection System in network is making great progress, it is also facing great challenges. The applications of data mining technique in computer security field improve the development of IDS. It is necessary to classify the attack degrees in IDS and use it in IDS by data mining. In spite of IDS can detect the attack activities in network, the result is uncertain. To describe the uncertainty, we classify the degree of the attack activities, and users can adjust the detection strategy according to the actual situation.
Gabor transforms on the sphere with applications to CMB power spectrum estimation

The Fourier transform of a data set apodized with a window function is known as the Gabor transform. In this paper we extend the Gabor transform formalism to the sphere with the intention of applying it to cosmic microwave background (CMB) data analysis. The Gabor coefficients on the sphere known as the pseudo power spectrum is studied for windows of different size. By assuming that the pseudo power spectrum coefficients are Gaussian distributed, we formulate a likelihood ansatz using these as input parameters to estimate the full-sky power spectrum from a patch on the sky. As this likelihood can be calculated quickly without having to invert huge matrices, this allows for fast power spectrum estimation. By using the pseudo power spectrum from several patches on the sky together, the full-sky power spectrum can be estimated from full-sky or nearly full-sky observations.
Tuning differential evolution for cheap, medium, and expensive computational budgets

This paper presents a parameter tuning study of Differential Evolution (DE) algorithms, including both standard DE as well as variants of the state-of-the-art adaptive DE, SHADE for both cheap and expensive optimization scenarios. Using the algorithm configuration tool SMAC, the DE variants are tuned independently for three different scenarios: expensive (102 × D evaluations), medium (104 × D evaluations), cheap (105 × D evaluations), where D is the benchmark problem dimensionality. Each of these tuned parameter settings is then tested under both cheap and expensive scenarios, which enables us to analyze the effect of both the tuning and test scenario on the performance of the tuned algorithm. We evaluate restarting variants of DE (R-DE), as well as restarting variants of SHADE (R-SHADE) and L-SHADE (RL-SHADE). For the parameter tuning phase, we use the CEC2014 benchmarks as training problems, and for the testing phase, we use all 24 problems from the BBOB benchmark set. We also compare these DE variants with state-of-the-art restart CMA-ES variants (HCMA, BIPOPCMA-ES, and IPOP-CMA-ES). For both cheap and expensive scenarios, DE algorithms perform very well for low-dimensional problems. In particular, for the expensive scenario, the simple, restarting DE (R-DE) performs quite well, and on the cheap scenario, RL-SHADE performs well.
Trends in the leading causes of death in the United States, 1970-2002.

CONTEXT The decrease in overall death rates in the United States may mask changes in death rates from specific conditions. OBJECTIVE To examine temporal trends in the age-standardized death rates and in the number of deaths from the 6 leading causes of death in the United States. DESIGN AND SETTING Analyses of vital statistics data on mortality in the United States from 1970 to 2002. MAIN OUTCOME MEASURE The age-standardized death rate and number of deaths (coded as underlying cause) from each of the 6 leading causes of death: heart disease, stroke, cancer, chronic obstructive pulmonary disease, accidents (ie, related to transportation [motor vehicle, other land vehicles, and water, air, and space] and not related to transportation [falls, fire, and accidental posioning]), and diabetes mellitus. RESULTS The age-standardized death rate (per 100,000 per year) from all causes combined decreased from 1242 in 1970 to 845 in 2002. The largest percentage decreases were in death rates from stroke (63%), heart disease (52%), and accidents (41%). The largest absolute decreases in death rates were from heart disease (262 deaths per 100,000), stroke (96 deaths per 100,000), and accidents (26 deaths per 100,000). The death rate from all types of cancer combined increased between 1970 and 1990 and then decreased through 2002, yielding a net decline of 2.7%. In contrast, death rates doubled from chronic obstructive pulmonary disease over the entire time interval and increased by 45% for diabetes since 1987. Despite decreases in age-standardized death rates from 4 of the 6 leading causes of death, the absolute number of deaths from these conditions continues to increase, although these deaths occur at older ages. CONCLUSIONS The absolute number of deaths and age at death continue to increase in the United States. These temporal trends have major implications for health care and health care costs in an aging population.
Bernoulli polynomials old and new: generalizations and asymptotics

We consider two aspects of generalized Bernoulli polynomials B~(z). One is connected with defining functions instead of polynomials by making the degree n of the polynomial a complex variable. In the second problem we are concerned with the asymptotic behaviour of B;:(z) when the degree n tends to infinity.
When Does Imbalanced Data Require Cost-Sensitive Learning?

Most classification algorithms expect the frequency of examples form each class to be roughly the same. However, this is rarely the case for real-world data where very often the class probability distribution is nonuniform (or, imbalanced). For these applications, the main problem is usually the fact that the costs of misclassifying examples belonging to rare classes differ significantly from the costs of misclasifying examples from classes represented in a higher proportion in the data. Cost-sensitive learning studies and provides methods for the design and evaluation of classification algorithms for arbitrary cost functions. This paper outlines an issue that can occur in the imbalanced data setting but has not been studied, according to our knowledge, in the cost-sensitive learning literature---the situation when the class probability distribution on the training data differs significantly from the class probability distribution test data. We will present a brief overview of cost-sensitive learning methods applied on imbalanced data and we will extend the existing theoretical results for the setting in which training and test class priors are different.
Short-circuiting information overload in documents - the Hints System

Professional intelligence analysts typically have access to a vast quantity of open source information, mostly unstructured free-text. Much of it is out on the Web, on CDs, email and on scattered office documents. When faced with a tight deadline they have to assimilate the information at their fingertips and write to prepare a report or brief. Very often crucial business or military decisions are made on the basis of these reports. The HINTS operational prototype provides analysts with tools to manage, analyse and assimilate a large quantity of electronic documents. HINTS short-circuits the information overload problem the analyst faces by automating two of the processes people use to deal with large quantities of textual information. They SCAN to find names, items and facts of particular interest to them, and they SKIM to find the main points, themes and ideas of an article.
Mesoscale Self-Assembly: Capillary Bonds and Negative Menisci

This paper describes the self-assembly of hexagonal plates (with 2.7 mm wide sides) at the interface between perfluorodecalin (PFD) and water. All 14 different hexagons that can be made by permuting the number and location of the hydrophobic and hydrophilic faces were examined. The plates attracted one another by lateral capillary forces involving the menisci on the hydrophilic faces. The plates were made of poly(dimethylsiloxane) (PDMS) containing aluminum oxide and had a density of 1.86 g/cm3, close to the density of PFD (ρ = 1.91 g/cm3). This work complements a previous paper (Bowden, N.; Choi, I. S.; Grzybowski, B. A.; Whitesides, G. M. J. Am. Chem. Soc. 1999, 121, 5373) that examined the self-assembly of hexagonal plates of PDMS (ρ = 1.05 g/cm3) that had a density close to that of water, and were attracted through menisci on the hydrophobic faces. The arrays that formed from the heavy (ρ = 1.86 g/cm3) hexagons with a particular pattern of hydrophilic faces were analogous to the arrays that formed fro.
Highly Transparent and UV-Resistant Superhydrophobic SiO2-Coated ZnO Nanorod Arrays

Highly transparent and UV-resistant superhydrophobic arrays of SiO2-coated ZnO nanorods are prepared in a sequence of low-temperature (<150 °C) steps on both glass and thin sheets of PET (2 × 2 in.2), and the superhydrophobic nanocomposite is shown to have minimal impact on solar cell device performance under AM1.5G illumination. Flexible plastics can serve as front cell and backing materials in the manufacture of flexible displays and solar cells.
Cloning and characterization of rod opsin cDNA from the Old World monkey, Macaca fascicularis.

PURPOSE Opsin sequences from different phyla have been compared to examine the structural and functional regions of this molecule and to assess the molecular evolution of genes in the animal kingdom. Of all the sequences reported, there is only one primate sequence (human) for rod opsin. To extend our knowledge of the primate family of opsins, the authors cloned and characterized the opsin cDNA for the Old World monkey Macaca fascicularis and determined its position in the phylogenetic tree of the opsin gene family. METHODS A fragment of the monkey opsin cDNA was generated using specific primers and the polymerase chain reaction. This fragment was then used as a probe to isolate several cDNA clones from a M. fascicularis retinal cDNA library. The nucleotide sequence of monkey opsin was determined and translated into an amino acid sequence. The amino acid sequences of opsins from a variety of organisms ranging from mollusks, arthropods, and vertebrates, including monkey, were then compared to identify highly conserved amino acid residues and to construct a phylogenetic tree of the rod opsins. RESULTS The monkey has a single major 2.2-kb transcript for opsin and minor transcripts of 1.5, 4.8, and 8.9 kb. The major transcript is highly abundant in the monkey retina and is localized to the inner segments of rod photoreceptor cells, typical of opsin mRNAs in other organisms. The sequence of monkey opsin closely resembles the human sequence at the nucleotide and the amino acid levels, with the latter having only 7 differences out of 348 residues. Comparison of the monkey sequence with the amino acid sequences from diverse organisms shows that all opsins share only 34 conserved amino acids, with the highest concentration of these residues occurring in the first cytoplasmic loop of rhodopsin. A hypothetical phylogenetic tree of the opsins suggests that both human and monkey opsin shared an ancestral gene with the mammalian Order Carnivora. CONCLUSION The opsins of man and Old World monkeys have diverged little from the time they shared a common ancestor. Comparison of opsins from diverse phyla, however, shows that only 34 residues have been conserved. These conserved residues are likely to be important in the structure and function of rhodopsin.
York University at TREC 2006: Enterprise Email Discussion Search

We use the Okapi retrieval system to conduct the email discussion search. The following issues are investigated. First, we make use of the thread structure in the emails to re-rank the documents retrieved by Okapi. We would like to see whether such post-processing of the retrieval result can boost the retrieval performance. Second, in terms of query formulation, we investigate whether the use of only title in a topic achieves better or worse results than the inclusion of other fields such as description and narrative. Third, we investigate whether stemming and stop word removal play an important role in the email search. Our conclusion includes that (1) re-ranking documents using a straightforward method that considers the thread structure can make a small improvement to the retrieval performance, (2) formulating the query using all the fields in a topic achieves the best result, and (3) the use of stemming and stop word removal can improve the performance, but the degree of improvement depends on the stemming method and the stop word list used.
A Hybrid Algorithm for the Shortest-Path Problem in the Graph

Quantum algorithms run on quantum computers are qualitatively different from those that run on classical computers. Quantum computing algorithms can be used for several problems in graph theory. Most of the classical algorithms involve searching over some space for finding the shortest-paths problem between two points in a graph and a minimal weight spanning tree. We modified classical Dijkstra's algorithm and implement quantum search instead of classical search, of which it will lead to more efficient algorithm. Also we proposed the structure for non-classical algorithms and design the various phases of the probabilistic quantum-classical algorithm for classical and quantum parts. Finally, we represent the result of implementing and simulating Dijkstra's algorithm as the probabilistic quantum-classical algorithm.
IDEAL: Interactive design environment for agent system with learning mechanism

The agent-oriented computing is a technique for generating the agent who operates autonomously according to the behavior knowledge. Moreover, agent can have the characteristic called “Learning” skill. More efficient operation of agents can be expected by realizing “Learning” skill. In this research, our aim is to support agent designer who designs and develops the intelligent agent system equipped with “Learning” skill. We propose interactive design environment for agent system with learning mechanism using repository-based agent framework called DASH framework. Proposed framework enables agent designer to design and implement the learning agents without highly expertise, therefore we can reduce the designer's burden. In this paper, we explain the DASH framework, Q-learning, Profit Sharing and proposed design environment. Moreover we show the effectiveness of the proposal method through the some experiments.
Dissecting Chinese adolescents’ overseas educational travel experiences: movements, representations and practices

This study analyses the overseas educational travel experiences of Chinese adolescents through the lens of the mobilities paradigm. Corresponding to three aspects of mobilities, namely movements, representation and practice, this study examines the activities, associated consequences and fulfilled values drawn from the overseas experiences of Chinese adolescents. A means-end method is used to collect and organize the data. An analysis of 50 interviews identifies 7 activities, 9 consequences and 5 values. A contextual deliberation of the findings furthers the understanding of Chinese adolescents’ mobilities by using the three aspects of mobilities to deconstruct their travel experiences. The transitional features of the life stage of Chinese adolescents and Chinese society today are also discussed.
A framework for successful enterprise systems implementation : preliminary findings from a case study

While critical success factors (CSFs) of enterprise system (ES) implementation are mature concepts and have received considerable attention for over a decade, researchers have very often focused on only a specific aspect of the implementation process or a specific CSF. Resultantly, there is (1) little research documented that encompasses all significant CSF considerations and (2) little empirical research into the important factors of successful ES implementation. This paper is part of a larger research effort that aims to contribute to understanding the phenomenon of ES CSFs, and reports on preliminary findings from a case study conducted at a Queensland University of Technology (QUT) in Australia. This paper reports on an empirically derived CSFs framework using a directed content analysis of 79 studies; from top IS outlets, employing the characteristics of the analytic theory, and from six different projects implemented at QUT.
Fast and Sensitive Detection of Pb2+ in Foods Using Disposable Screen-Printed Electrode Modified by Reduced Graphene Oxide

In this study, reduced graphene oxide (rGO) was electrochemically deposited on the surface of screen-printed carbon electrodes (SPCE) to prepare a disposable sensor for fast detection of Pb2+ in foods. The SEM images showed that the rGO was homogeneously deposited onto the electrode surface with a wrinkled nanostructure, which provided 2D bridges for electron transport and a larger active area for Pb2+ adsorption. Results showed that rGO modification enhanced the activity of the electrode surface, and significantly improved the electrochemical properties of SPCE. The rGO modified SPCE (rGO-SPCE) was applied to detect Pb2+ in standard aqueous solution, showing a sharp stripping peak and a relatively constant peak potential in square wave anodic stripping voltammetry (SWASV). The linear range for Pb2+ detection was 5∼200 ppb (R2 = 0.9923) with a low detection limit of 1 ppb (S/N = 3). The interference of Cd2+ and Cu2+ at low concentrations was effectively avoided. Finally, the rGO-SPCE was used for determination of lead in real tap water, juice, preserved eggs and tea samples. Compared with results from graphite furnace atomic absorption spectroscopy (GFAAS), the results based on rGO-SPCE were both accurate and reliable, suggesting that the disposable sensor has great potential in application for fast, sensitive and low-cost detection of Pb2+ in foods.