Miracle-dz/UniFAR-FTUs huggingface dataset:
On the mining and usage of Movement Patterns in large traffic networks

Paper presents the Shape Movement Pattern (ShaMP) algorithm, an algorithm for extracting Movement Patterns (MPs) from network data, and a prediction mechanism whereby the identified MPs can be used to predict the nature of movement in a previously unseen network. The principal advantage offered by ShaMP is that it lends itself to parallelisation. The reported evaluation was conducted using both Massage Pass Interface (MPI) and Hadoop/MapReduce; and artificially generated and real life networks. The later extracted from the UK Cattle tracking Systems (CTS) in operation in Great Britain (GB). The evaluation indicates that very successful results can be produced, average precision, recall and F1 values of 0.965, 0.919 and 0.941 were recorded respectively.
Optimum Relay Selection for Energy-Efficient Cooperative Ad Hoc Networks

: The Cooperative Communication (CC) is a technology that allows multiple nodes to simultaneously transmit the same data. It can save power and extend transmission coverage. However, prior research work on topology control considers CC only in the aspect of energy saving, not that of coverage extension. We identify the challenges in the development of a centralized topology control scheme, named Cooperative Bridges, which reduces transmission power of nodes as well as increases network connectivity. Prior research on topology control with CC only focuses on maintaining the network connectivity, minimizing the transmission power of each node, whereas ignores the energy efficiency of paths in constructed topologies. This may cause inefficient routes and hurt the overall network performance in cooperative ad hoc networks. In this paper, to address this problem, we studied topology control problem for energy-efficient topology control problem with cooperative communication. We proposed optimum relay nodes selection for CC network to reduce overall power consumption of network.
Fast Greedy Approaches for Compressive Sensing of Large-Scale Signals

Cost-efficient compressive sensing is challenging when facing large-scale data, {\em i.e.}, data with large sizes. Conventional compressive sensing methods for large-scale data will suffer from low computational efficiency and massive memory storage. In this paper, we revisit well-known solvers called greedy algorithms, including Orthogonal Matching Pursuit (OMP), Subspace Pursuit (SP), Orthogonal Matching Pursuit with Replacement (OMPR). Generally, these approaches are conducted by iteratively executing two main steps: 1) support detection and 2) solving least square problem. To reduce the cost of Step 1, it is not hard to employ the sensing matrix that can be implemented by operator-based strategy instead of matrix-based one and can be speeded by fast Fourier Transform (FFT). Step 2, however, requires maintaining and calculating a pseudo-inverse of a sub-matrix, which is random and not structural, and, thus, operator-based matrix does not work. To overcome this difficulty, instead of solving Step 2 by a closed-form solution, we propose a fast and cost-effective least square solver, which combines a Conjugate Gradient (CG) method with our proposed weighted least square problem to iteratively approximate the ground truth yielded by a greedy algorithm. Extensive simulations and theoretical analysis validate that the proposed method is cost-efficient and is readily incorporated with the existing greedy algorithms to remarkably improve the performance for large-scale problems.
Correlations in protein sequences and property codes.

Correlation functions in large sets of non-homologous protein sequences are analysed. Finite size corrections are applied and fluctuations are estimated. As symbol sequences have to be mapped to sequences of numbers to calculate correlation functions, several property codes are tested as such mappings. We found hydrophobicity autocorrelation functions to be strongly oscillating. Another strong signal is the monotonously decaying alpha-helix propensity autocorrelation function. Furthermore, we detected signals corresponding to an alteration of positively and negatively charged residues at a distance of 3-4 amino acids. To look beyond the property codes gained by the methods of physical chemistry, mappings yielding a strong correlation signal are sought for using a Monte Carlo simulation. The mappings leading to strong signals are found to be related to hydrophobicity of alpha-helix propensity. A cluster analysis of the top scoring mappings leads to two novel property codes. These two property codes are gained from sequence data only. They turn out to be similar to known property codes for hydrophobicity or polarity.
Assessing Instructed Feigner's Response to the Gudjonsson Suggestibility Scale

All rights reserved. This publication is intended for use solely by faculty, students, and staff of Nova Southeastern University. No part of this publication may be reproduced, distributed, or transmitted in any form or by any means, now known or later developed, including but not limited to photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author or the publisher.
Bottom of the Pyramid as a Source of Breakthrough Innovations

In this paper, I identify the bottom of the pyramid (BOP) markets as a new source of radical innovation. By focusing managerial attention on creating awareness, access, affordability, and availability (4As), managers can create an exciting environment for innovation. I suggest that external constraints can be utilized to build an innovation sandbox within which new products and business models can be created. Using a live example of such an innovation—the development of the biomass stove for the rural poor in India—I illustrate the process and the usefulness of the approach. Increasingly, global firms are recognizing the implications of innovations at the BOP for developed markets as well.
Performance Boundaries for Cooperative Positioning in VANETs

The concept of Cooperative Positioning (CP) has emerged recently to improve the quality of positioning, provided by Global Navigation Satellite System (GNSS), in terms of accuracy and availability. This is necessary to meet the requirements of the vehicular position-based applications such as collision avoidance, which cannot rely only on GNSS performance. CP systems are based on fusing data from different sources, including GNSS, for positioning quality improvement. A typical class of CP is based on the GNSS-based position estimates and distances between the participating vehicles. Inter-vehicle ranging and GNSS errors are limiting factors for achievable performance using CP systems. Inter-vehicle range-rate is also a potential observable for CP systems. In this article, the performance boundaries for range-based and range-rate-based CP systems are investigated. The limits on the achievable performance with different topologies and observations are investigated. Also, the required bandwidth is considered for evaluating the performance of the discussed CP structures.
Topic Trend Prediction Based on Wavelet Transformation

The research of topic trend prediction can be a good reference for maximizing the propagation effects of network advertisements as well as guiding and controlling the network consensus. This paper proposes PTEP (the Prediction of Topic Energy Peak) method to model the life cycle of a topic and predicts the time when a hot topic will outbreak. Firstly, taking the number and the authority of followers and the interest of users to a topic into consideration, we design a topic-related user authority (TRUA) algorithm to measure the authority of users. Secondly, we calculate the energy value considering both the tweets and users authority related to the topic. Thirdly, we measure the fluctuation of the energy value based on wavelet transformation. Finally, we present rules to predict topic trend. Experimental results show that our method can effectively predict the peak of a topic in advance with a low omission rate.
Tracing software build processes to uncover license compliance inconsistencies

Open Source Software (OSS) components form the basis for many software systems. While the use of OSS components accelerates development, client systems must comply with the license terms of the OSS components that they use. Failure to do so exposes client system distributors to possible litigation from copyright holders. Yet despite the importance of license compliance, tool support for license compliance assessment is lacking. In this paper, we propose an approach to construct and analyze the Concrete Build Dependency Graph (CBDG) of a software system by tracing system calls that occur at build-time. Through a case study of seven open source systems, we show that the constructed CBDGs: (1) accurately classify sources as included in or excluded from deliverables with 88%-100% precision and 98%-100% recall, and (2) can uncover license compliance inconsistencies in real software systems -- two of which prompted code fixes in the CUPS and FFmpeg systems.
Secondary interactions significantly removed from the sulfonamide binding pocket of carbonic anhydrase II influence inhibitor binding constants.

A series of competitive inhibitors of carbonic anhydrase II (CAII; EC 4.2.1.1) that consists of oligo(ethylene glycol) units attached to p-benzenesulfonamides with pendant amino acids, H2NSO2C6H4CONHCH2CH2OCH2CH2OCH2CH2NHCOCHRNH3+, have been synthesized and examined using competitive fluorescence assays. Three of the strongest inhibitors, designated EG3NH3+, EG3GlyNH3+, and EG3PheNH3+, have been studied by X-ray crystallographic methods at limiting resolutions of 1.9, 2.0, and 2.3 A, respectively. The sulfonamide-zinc binding modes and the association of the ethylene glycol linkers to the hydrophobic patch of the active site are similar in all three inhibitors. Differences in the values of Kd are therefore not due to differences in zinc coordination or to differences in the modes of enzyme-glycol association but instead appear to arise from interaction of the pendant amino acids with the surface of the protein. These pendant groups are, however, not sufficiently ordered to be visible in electron density maps. Thus, structural variations of inhibitors at locations distant from the primary binding (i.e., the sulfonamide group) site affect the overall binding affinities of inhibitors (e.g., Kd (EG3PheNH3+) = 14 nM as compared with Kd (EG3GluNH3+) = 100 nM).
A Fast Modular Method for True Variation-Aware Separatrix Tracing in Nanoscaled SRAMs

As memory density continues to grow in modern systems, accurate analysis of static RAM (SRAM) stability is increasingly important to ensure high yields. Traditional static noise margin metrics fail to capture the dynamic characteristics of SRAM behavior, leading to expensive over design and disastrous under design. One of the central components of more accurate dynamic stability analysis is the separatrix; however, its straightforward extraction is extremely time-consuming, and efficient methods are either nonaccurate or extremely difficult to implement. In this paper, we propose a novel algorithm for fast separatrix tracing of any given SRAM topology, designed with industry standard transistor models in nanoscaled technologies. The proposed algorithm is applied to both standard 6T SRAM bitcells, as well as previously proposed alternative subthreshold bitcells, providing up to three orders-of-magnitude speedup, as compared with brute force methods. In addition, for the first time, statistical Monte Carlo separatrix distributions are plotted.
An Epstein-barrvirus-associated Superantigen

More than 90% of adults are latently infected with Epstein-Barr virus (EBV), the causative agent of infectious mononucleosis, a self-limiting lymphoproliferative disease characterized by extensive T cell activation. Reactivation of this herpesvirus during immunosuppression is often associated with oncogenesis. These considerations led us to analyze the early events that occur after exposure of the immune system to EBV. Strong major histocompatibility complex (MHC) class lI-dependent, but not MHC-restricted, T cell proliferation was observed in vitro in response to autologous, lytically infected EBV-transformed B cells. By measuring the appearance of the early activation marker CD69 on individual T cell V[3 subsets, we could demonstrate selective activation of human VI313 + T cells. This was confirmed with murine T cell hybridomas expressing various human BV genes. While EBVBurkitt's lymphoma cells were nonstimulatory, they induced V]3-restricted T cell activation after EBV infection. EBV specific activation was also demonstrated in cord blood cells, excluding a recall-antigen response. Thus, all of the characteristics of a superantigen-stimulated response are seen, indicating that induction of the EBV lyric cycle is associated with the expression of a superantigen in B cells. A model is presented proposing a role for the superantigen in infection, latency, and oncogenesis.
Confidence Sets Based on Sparse Estimators Are Necessarily Large

Confidence sets based on sparse estimators are shown to be large compared to more standard confidence sets, demonstrating that sparsity of an estimator comes at a substantial price in terms of the quality of the estimator. The results are set in a general parametric or semiparametric framework. MSC Subject Classifications: Primary 62F25; secondary 62C25, 62J07
Expression of the Retrotransposon Helena Reveals a Complex Pattern of TE Deregulation in Drosophila Hybrids

Transposable elements (TEs), repeated mobile sequences, are ubiquitous in the eukaryotic kingdom. Their mobilizing capacity confers on them a high mutagenic potential, which must be strongly regulated to guarantee genome stability. In the Drosophila germline, a small RNA-mediated silencing system, the piRNA (Piwi-interacting RNA) pathway, is the main responsible TE regulating mechanism, but some stressful conditions can destabilize it. For instance, during interspecific hybridization, genomic stress caused by the shock of two different genomes can lead, in both animals and plants, to higher transposition rates. A recent study in D. buzatii—D. koepferae hybrids detected mobilization of 28 TEs, yet little is known about the molecular mechanisms explaining this transposition release. We have characterized one of the mobilized TEs, the retrotransposon Helena, and used quantitative expression to assess whether its high transposition rates in hybrids are preceded by increased expression. We have also localized Helena expression in the gonads to see if cellular expression patterns have changed in the hybrids. To give more insight into changes in TE regulation in hybrids, we analysed Helena-specific piRNA populations of hybrids and parental species. Helena expression is not globally altered in somatic tissues, but male and female gonads have different patterns of deregulation. In testes, Helena is repressed in F1, increasing then its expression up to parental values. This is linked with a mislocation of Helena transcripts along with an increase of their specific piRNA levels. Ovaries have additive levels of Helena expression, but the ping-pong cycle efficiency seems to be reduced in F1 hybrids. This could be at the origin of new Helena insertions in hybrids, which would be transmitted to F1 hybrid female progeny.
SEU MITIGATION-using 1/3 rate convolution coding

With the new emerging fabrication technology there has been scaling of components size, leading to reduction in the physical size of devices. This increases the frequency of radiation induced temporary faults also called soft errors, which corrupts the content of the memory system. This paper proposes a new technique to protect the data from these soft errors which occurs in form of bit flips in the memory. The technique introduced is based on simple convolution codes and is proven to give good performance.
High Frequency Evidence on the Demand for Gasoline

Daily city-level expenditures and prices are used to estimate the price responsiveness of gasoline demand in the U.S. Using a frequency of purchase model that explicitly acknowledges the distinction between gasoline demand and gasoline expenditures, we consistently find the price elasticity of demand to be an order of magnitude larger than estimates from recent studies using more aggregated data. We demonstrate directly that higher levels of spatial and temporal aggregation generate increasingly inelastic demand estimates, and then perform a decomposition to examine the relative importance of several different sources of bias likely to arise in more aggregated studies.
On Coping Tactics for Culture-Specific Metaphors in Interpretation for China’s Global Communication from Cognitive Perspective

This paper tends to apply the cognitive approach to the study of Interpretation for China’s Global Communication (ICGC). In light of theories on cognitive metaphor, the paper proposes some coping tactics for culture-specific metaphors in ICGC and probes into influences of different coping tactics on the transformation of the culture-specific metaphor into the cultural sharing metaphor and the preservation of Chinese cultural images through case analysis, illustrating cognitive creativity of the interpreter in ICGC in their selecting coping tactics. Furthermore, some caliber of the interpreter in ICGC is put forward. The research, in the context of “Chinese culture going global”, has been conducted in hope of guiding the practice of ICGC.
Lower limits on the Hubble constant from models of type Ia supernovae

By coupling observations of type Ia supernovae with results obtained from the best available numerical mod- els we constrain the Hubble constant, independently of any external calibrators. We find an absolute lower limit of H0 > 50 km s −1 Mpc −1 . In addition, we construct a Hubble diagram with UVOIR light curves of 12 type Ia supernovae located in the Hubble flow, and when adopting the most likely values (obtained from 1-D and 3-D deflagration simulations) of the amount of 56 Ni produced in a typical event, we find values of H0 ≥ 66 ± 8a nd≥78 ± 9k m s −1 Mpc −1 , respectively. Our result may be difficult to reconcile with recent discussions in the literature as it seems that an Einstein-de Sitter universe requires H0 � 46 km s −1 Mpc −1 in order to fit the temperature power spectrum of the cosmic microwave background and maintain the age constraints of the oldest stars.
The Effect of Career Development and Organizational Culture to Employee Performance with Motivation of Work as Intervening Variable in Cooperation in Denpasar Village

Research on career development and organizational culture on performance with work motivation as intervening variable is done at cooperative located in Pedungan village of South Denpasar Pedungan Village is a village located in South Denpasar District, Denpasar City, Bali Province. The development of cooperatives is currently supported by the development of small and medium enterprises (SMEs). The number of cooperatives in the village pedungan is 33 cooperatives with the total number of employees is 338 employees. The purpose of this study is to know and examine the influence of career development on employee performance in cooperative in rural village, To know and test the influence of organizational culture on employee performance in cooperative in rural village, to know and test the influence of career development on employee motivation at cooperative in to know and examine the influence of organizational culture on employee motivation in cooperative in rural village, To know and to test influence of work motivation to employees performance at Cooperative in rural village. This research is a quantitative research using primary data obtained from the questionnaire and measured by using Likert scale. The population of this research is employees at Cooperative in rural village as many as 85 people. The method of selecting the sample of this study using Proportionate Stratified Random Sampling is this technique is used when the population has members who are not homogeneous and stratified proportionally. Data analysis technique used in this research is Structural Equation Modeling (SEM) based on Partial Least Square (PLS) using SmartPLS 3.0 program. The result of the research shows that (1) career development has positive and significant effect to work motivation, (2) organizational culture have positive and significant effect to work motivation, (3) career development have positive and significant effect to employee performance, (4) and (5) the influence of mediation of work motivation variable on indirect influence of career development on partial performance, and (7) influence of mediation of work motivation variable on the influence of unbalanced direct organizational culture to performance is partial
An Up-to-Date Anti-Cancer Treatment Strategy Focusing on HIF-1α Suppression: Its Application for Refractory Ovarian Cancer

Hypoxia inducible factor-1α (HIF-1α) predominantly determines the transcriptional activity of HIF-1, which induces the certain genetic expressions to participate in the proliferation and progression of the tumor. It is supposed that HIF-1α is also an extremely important factor in cancer treatment. Based on the results of our recent analyses using ovarian tumors, which indicated the close association of HIF-1α expression with the acquisition of malignancy and the characterization of histology, we further investigated the possibility of a new strategy of cancer therapy that targeted HIF-1α inhibition in the ovarian carcinoma. The cell line HUOCA-II, which originates from the refractory ovarian clear cell adenocarcinoma, was treated with rapamycin. The inhibitory effect of HIF-1α was analyzed by immunohistochemistry and western blotting. It was demonstrated that inhibition of HIF-1α and vascular endothelial growth factor (VEGF) expressions would lead to the down-regulation of tumor cell proliferation. Interestingly, there was little or no change in GLUT-1 expression by rapamycin administration. Thus, the inhibition of GLUT-1 may also be a key for the new strategy of cancer therapy as well as HIF-1α and VEGF.
Adaptation and The Provider ’ s Dilemma

While attracting attention is one of the prime goals of content providers, the conversion of that attention into revenue is by no means obvious. Given that most users are used to consuming web content for free, a content provider faces a dilemma. Since the introduction of advertisements or subscription fees will be construed by users as an inconvenience which may deter them from using the website, what should the provider do in order to maximize revenues? We address this question through the lens of adaptation theory, which states that even though a change affects a person’s utility initially, as time goes on people tend to adapt and become less aware of past changes. We establish that if the likelihood of attending to the provider is a log-convex function of the deviation of the total inconvenience from the reference point of a potential user, then it is always optimal for the provider to perform the increase in one step. Otherwise, the provider faces a tradeoff between achieving a higher revenue per user sooner and maximizing the number of users in the long term.