Miracle-dz/UniFAR-FTUs huggingface dataset:
Computational complexity reduction for MIMO-OFDM channel estimation algorithms

Channel estimation algorithms have a key role in signal detection in MIMO-OFDM systems. In this system, the number of channel components which need to be estimated is much more than conventional SISO wireless systems. Consequently, the computational process of channel estimation is highly intensive. In addition, the high performance channel estimation algorithms mostly suffer from high computational complexity. In the other words, the system undergoes intensive computations if high performance efficiency is desired. However, there is an alternative solution to achieve both high performance efficiency and relatively low level of computational complexity. In this solution, high efficient channel estimation is firstly designed, and then it is simplified using alternative mathematical expressions. In this research, QR decomposition (QRD) as an alternative mathematical expression to alleviate the computational complexity of those complex algorithms which need matrix inversion is investigated. Herein, the channel estimation algorithm which is targeted to simplify is Least Square (LS) method. The results show QR decomposition can greatly reduce the complexity of LS channel estimation. As an example, for particular scenario, it achieves reduction of computational complexity as much as 77% while it keeps the performance efficiency of the system at the same level.
ELAR: extremely lightweight auditing and repairing for cloud security

Cloud storage has been gaining in popularity as an on-line service for archiving, backup, and even primary storage of files. However, due to the data outsourcing, cloud storage also introduces new security challenges, which require a data audit and data repair service to ensure data availability and data integrity in the cloud. In this paper, we present the design and implementation of a network-coding-based Proof Of Retrievability scheme called ELAR, which achieves a lightweight data auditing and data repairing. In particular, we support direct repair mechanism in which the client can be free from the data repair process. Simultaneously, we also support the task of allowing a third party auditor (TPA), on behalf of the client, to verify the availability and integrity of the data stored in the cloud servers without the need of an asymmetric-key setting. The client is thus also free from the data audit process. TPA uses spot-checking which is a very efficient probabilistic method for checking a large amount of data. Extensive security and performance analysis show that the proposed scheme is highly efficient and provably secure.
The Role of Autonomy and Interaction Type on Spatial Comfort in an HRI Scenario

This extended abstract presents findings from a live HRI study carried out in the UH robot house. The participants (33 in total) were approached by a robot for 3 different interaction types and the amount of control the participant had over the robot's approach was varied. This study focuses on the participant post-experimental evaluation of their comfort with the robots approaches in these different scenarios. The results indicate that both the degree of control and the purpose of the interaction independently influence how comfortable participants were with the spatial behaviour of the robot.
The Eeciency Frontier for Economic Growth Discussions with And/or Comments and Suggestions From

y Abstract The eeect of institutional and sectoral diversity on economic growth is analyzed using data for 112 economies over the period 1970-1990. The tests connrm the existence of a convex eeciency frontier for country-level economic growth using decade-level growth and volatility. These results establish that economies experience growth patterns that reeect an underlying portfolio structure. Implications include the notion that, above a certain level, gains in economic growth can only be achieved at the expense of economic stability. In addition, there exists an optimal combination of growth and volatility for a planner with standard preferences. Simple measures of volatility adjusted economic growth in a country are proposed. The experiences of countries in various stages of economic development are analyzed using one such measure.
Real-time obstacle avoidance using subtargets and Cubic B-spline for mobile robots

A new method is proposed which combines the subtargets algorithm and B-spline curve to generate collision-free and smooth paths for mobile robots to deal with the obstacle avoidance problem in highly dynamic environments. Firstly the via-points are generated using the subtargets algorithm iteratively. Then the Cubic B-spline curve method is used to create geometric paths by interpolating via-points. Lastly the motion laws are taken into account to transfer geometric paths to trajectories which will be tracked by the robot. Simulation results prove that the method is more efficient in generating collision-free and smooth paths than the original subtargets algorithm. Furthermore, the velocity and acceleration can be set to any desired profiles when tracking trajectories.
Adaptive neuro-fuzzy inference system for texture image classification

One of the most important problems in pattern recognition is texture-based image classification. In this paper, the combination of Discrete Cosine Transform (DCT) and Gray Level Co-Occurrence Matrix (GLCM) methods for feature extraction was proposed. The attributes extracted from DCT method were mean and variance, while the attributes extracted from GLCM method were energy and entropy. Adaptive Neuro-Fuzzy Inference System (ANFIS) was used as a classifier. The classifier model was trained using 50% of the texture images and remaining images were used for testing. Four classes of texture images were downloaded from KTH-TIPS (Textures under varying Illumination, Pose and Scale) image database, three of which were used in each experiments thus there were four data combination. The best data testing accuracy result towards textures of crumpled aluminium foil, corduroy, and orange peel is 98.3%, which is 1.6% better than one hidden-layer feed forward neural network classifier. In average, testing accuracy result of ANFIS excelled one hidden-layer feed forward neural network with 93.7% over 90.4%.
Graph based distributed control of non-holonomic vehicles endowed with local positioning information engaged in escorting missions

Using graph theory, this paper investigates how a group of robots, endowed with local positioning (range and bearing from other robots), can be engaged in a leader-following mission whilst keeping a predefined configuration. The possibility to locally change the behaviors of the follower team to accomodate both tasks is explored. In particular, a methodology to automatically adjust the parameters of the inter-robot interactions and a nonlinear PI controller are explained and implemented. Our approach is supported by a mathematical analysis as well as real robot experiments.
Effect of Voltage Unbalance on Adjustable Speed Drives and its Mitigation Using Supercapacitor

During the voltage unbalance, the resulting adverse effects on equipments such as induction motors and power electronic converters and drives on ASDs have been described. It has been observed that during unsymmetrical fault, the input rectifier slips into the single phase operation and draw heavy currents which may actuate the overload protection and trip the ASDs. The application of supercapacitors bank with boost converter to inject energy at DC-Link under voltage unbalance condition has been incorporated. The supercapacitor provides ride-through and reduces the current overshooting by injecting energy at DC-Link. Based on the designed topology, simulation model in MATLAB 7.5 (Sim Power Block set) has been developed for voltage unbalance conditions with supercapacitor as an energy storage device. The designed control technique is modeled, simulated and successfully implemented in the laboratory. The extensive simulation results supported by experimental results were provided to validate the proposed system
Intratumoral CD8+ Cytotoxic Lymphocyte Is a Favorable Prognostic Marker in Node-Negative Breast Cancer

Background The prognostic effect of tumor infiltrating CD8+ cytotoxic lymphocytes (CTLs) in breast cancer is controversial. We analyzed the association between CD8+ CTLs and survival of untreated node-negative breast cancer patients. Material and Methods CD8+ CTLs infiltrate was evaluated by immunostaining in a cohort of 332 node-negative breast cancer patients with a median follow-up of 152 months. The prognostic significance of CD8+ CTLs for disease-free survival (DFS) and breast cancer-specific overall survival (OS) was evaluated with Kaplan-Meier survival analysis as well as univariate analysis and multivariate Cox analysis adjusted for age at diagnosis, pT stage, histological grade, estrogen receptor (ER) status, progesterone receptor (PR) status, Ki-67 expression and human epidermal growth factor receptor 2 (HER-2) status. Results 285 (85.8%) patients showed strong CD8+ CTLs infiltrate positive status. Univariate analysis showed that CD8+ CTLs had statistically significant association with DFS (P = 0.004, hazard ratio [HR] = 0.454, 95% confidence interval [CI] = 0.265–0.777) and OS (P = 0.014, HR = 0.430, 95% CI = 0.220–0.840) in the entire cohort. The significance of CD8+ CTLs was especially strong in ER negative, HER-2 negative and ER, PR, HER-2 triple-negative breast cancers. In Kaplan-Meier analysis, CD8+ CTLs had significant effect on prognosis of patients (Log-rank test: P = 0.003 for DFS and P = 0.011 for OS), independent of established clinical factors for DFS (P = 0.002, HR = 0.418, 95% CI = 0.242–0.724) as well as for OS (P = 0.009, HR = 0.401, 95% CI = 0.202–0.797).
Efficient Proxy Re-encryption with Private Keyword Searching in Untrusted Storage

Cloud computing is an important trend that in many ways is beginning to fulfill the early promise of the Internet and creating unanticipated change in computing paradigm. As promising as cloud computing is, this paradigm brings forth new security and privacy challenges when operating in the untrusted cloud scenarios. Motivated by the challenging problem "Private Searching over Encrypted Data", we propose a new cryptographic primitive, Proxy Re-encryption with Private Searching (PRPS for short). The PRPS scheme enables the data users and owners efficiently query and access files stored in untrusted cloud, while keeping query privacy and data privacy from the cloud providers. The concrete construction is based on proxy re-encryption, public key encryption with keyword search and the dual receiver cryptosystem. Extensive analysis shows that our scheme is efficient and semantically secure under the BDH assumption.
Real time face authentication system using autoassociative neural network models

This paper proposes a novel method for video-based real time face authentication. The proposed method uses motion information to detect the face region, and the face region is processed in YC/sub r/C/sub b/ color space to determine the location of the eyes. The system extracts only the gray level features relative to the location of the eyes. Autoassociative neural network (AANN) model is used to capture the distribution of the extracted gray level features. Experimental results show that the proposed system gives an equal error rate of less than 1% in real time for 25 subjects. The performance of the proposed method is invariant to size and tilt of the face, and is also insensitive to variations in natural lighting conditions.
Simulation of large asynchronous logic circuits using an ambiguous gate model

Digital logic simulation is the process whereby the action of a logic circuit due to a specified input is predicted based upon some model of the circuit. Logic simulation is becoming increasingly necessary as larger and more complex computers are built. Because of the cost of building hardware it is not wise to commit a circuit design to manufacture without first verifying the operation of the circuit by simulation. This is true even for large computers (say 50,000 gates) where simulation will eliminate many logic errors and may save construction of a prototype model. Simulation may be used to predict the output of the circuit due to specified faults as well as to predict the output of the good (fault free) circuit. A dictionary is generally compiled of the output of the circuit in the presence of known faults. By comparing the actual (perhaps faulty) circuit output to the correct output, it is possible to detect and diagnose a fault in the circuit.
Search in Referral Networks

Referral systems have been proposed to assist people in finding potential experts in person-to-person social networks, in which each user is assigned a software agent and software agents help automate the process through a series of referrals. However, most of the existing referral systems have focused on the referral information generation, and simply consider referrals through path search in a static graph. An important question is how to efficiently search the social networks with the help of software agents, while agents only rely on their local knowledge. In this paper referral networks are proposed to model the social structure emerging among software agents. We study the referral networks empirically for the community of AI scientists (as defined in bibliographic data), and show how to control the searching process by adaptively choosing the referrals.
Prevalence of chronic illnesses and characteristics of chronically ill informal caregivers of persons with dementia.

OBJECTIVES to examine the prevalence of and the link of chronic illnesses (CIs) to informal caregivers of persons with dementia (PWDs), as well as to identify characteristics of caregivers with CIs. METHODS the sample included 124 caregivers of PWDs from a caregiver programme of research. Sociodemographic information and caregivers CIs were collected by an in-person interview. Descriptive statistics, t-tests, chi-square analysis and binary logistic regressions were performed for data analysis. RESULTS approximately 81.5% (n = 101) of caregivers reported having at least one CI, 60.5% (n = 75) reported two or more CIs. Caregivers with CIs were more likely to be older and unemployed; advanced age and female gender were risk factors for CIs. The link of CIs to caregivers was stronger in younger caregivers but weaker in older caregivers when compared with the general population. CONCLUSION targeted interventions based on this study need to be developed to improve the health of caregivers of PWDs.
Mitochondrial DNA Depletion Reduces PARP-1 Levels and Promotes Progression of the Neoplastic Phenotype in Prostate Carcinoma

Mitochondrial dysfunction resulting from mitochondrial DNA (mtDNA) mutations and/or depletion has been correlated with cancer progression and drug resistance. To investigate the role of mtDNA in prostate cancer progression, we used LNCaP and PC-3 prostate carcinoma cells as experimental model. Compared to minimally invasive androgen-dependent LNCaP cells, highly invasive androgen-independent PC-3 cells, as well as androgen-independent DU145 and C4-2 cells, exhibited significantly reduced mtDNA content. In PC-3 cells, reduction of mtDNA was accompanied by decreased mitochondrial membrane potential (ΔΨm), increased migration onto the basement membrane protein laminin-1, reduced chemosensitivity to paclitaxel (IC50=110 nM vs. 22 nM) and decreased expression of poly(ADP-ribose) polymerase (PARP)-1. To investigate the relationship between mtDNA depletion and these phenotypic characteristics, we established mtDNA-depleted LNCaP cells [Rho(−)] by long-term exposure to ethidium bromide or treated wild-type LNCaP cells with a mitochondrial ionophore, carbonyl cyanide m-chlorophenylhydrazone. Both manipulations resulted in ΔΨm loss, acquisition of invasive cytology, increased motility onto laminin-1, reduced sensitivity to paclitaxel (IC50=~100 nM) and ~75% reduction in PARP-1 protein levels, resembling PC-3 cells. Overall, these results provide novel evidence demonstrating that mtDNA depletion in early prostate carcinoma may contribute to the acquisition of a more invasive phenotype that is less sensitive to paclitaxel-induced apoptosis.
A process model runtime environment based on OSGi

In this paper we present the design, implementation and deployment of a runtime environment for computational models based on the Eclipse Equinox OSGi framework. The runtime was developed against the background of necessities and tasks in the field of steelmaking, but can be used in other domains also. We will discuss the requirements the platform had to fulfill as well as its architecture and selected technical details. Furthermore, we will present some experiences gained from implementation and deployment as well as from productive operation and maintenance at a customer's site - with particular attention to the experience with OSGi under high availability conditions.
Formative research for a community-based message-framing intervention.

OBJECTIVE To inform a community-based message framing intervention encouraging physical activity and fruit and vegetable consumption among medically underserved adults. METHOD Key informant interviews, focus groups, and a survey were conducted with limited-literacy Hispanics in the northeastern United States. RESULTS Barriers to healthy lifestyle behaviors exist at individual, community, and policy levels. A strong degree of networking among local organizations and elected officials exists that can be used to encourage healthy lifestyle initiatives. CONCLUSIONS Community-based health communication interventions must address neighborhood realities, the literacy levels of the target population, and existing networks of providers and consumers.
, Resource-Limited Settings Complex Isolates from Sputum Samples in Detection of Mycobacterium tuberculosis Use of Colorimetric Culture Methods

Published Ahead of Print 8 May 2013. 10.1128/JCM.00749-13. 2013, 51(7):2273. DOI: J. Clin. Microbiol. Beaudrap, Maryline Bonnet and Anne-Laure Page Nansumba, Joel Bazira, Eleanor Tuyakira, Pierre De Margarita Riera-Montes, Daniel Atwine, Margaret Yap Boum II, Patrick Orikiriza, Gabriel Rojas-Ponce, Resource-Limited Settings Complex Isolates from Sputum Samples in Detection of Mycobacterium tuberculosis Use of Colorimetric Culture Methods for
Reading war photographs: the 1971 India–Pakistan war in the Anglo-American press

This article examines photographs of the 1971 India–Pakistan war published in the Anglo-American newspapers: The New York Times and The Times (London) and magazines: Life, Newsweek, Time, and The Economist. The images projected the war as a spectacle and predominantly used photographic conventions associated with non-journalistic images. The photographs showcased a rather frank representation of the 1971 war, displaying images of failed military operations, dead or injured soldiers, POWs, and revenge killings. However, some of these candid documentary war photographs offer archival value in that they challenge and complicate historical amnesia and partial accounts of the war and conflict in India, Pakistan, and Bangladesh.
High intensity exercise or conventional exercise for patients with rheumatoid arthritis? Outcome expectations of patients, rheumatologists, and physiotherapists

Objective: To examine the outcome expectations of RA patients, rheumatologists, and physiotherapists regarding high intensity exercise programmes compared with conventional exercise programmes. Methods: An exercise outcome expectations questionnaire was administered to 807 RA patients, 153 rheumatologists, and 624 physiotherapists. The questionnaire consisted of four statements regarding positive and negative outcomes of high intensity exercise programmes and four similar statements for conventional exercise programmes. A total expectation score for both conventional and high intensity exercise was calculated, ranging from −2 (very negative expectation) to 2 (very positive expectation). Results: The questionnaire was returned by 662 RA patients (82%), 132 rheumatologists (86%), and 467 physiotherapists (75%). The mean (95% confidence interval) scores for high intensity exercise programmes were 0.30 (0.25 to 0.34), 0.68 (0.62 to 0.74), and −0.06 (−0.15 to 0.02), and for conventional exercise programmes were 0.99 (0.96 to 1.02), 1.13 (1.09 to 1.17), and 1.27 (1.21 to 1.34) for RA patients, rheumatologists, and physiotherapists, respectively. In all three respondent groups, the outcome expectations of high intensity exercise were significantly less positive than those of conventional exercise programme. Conclusions: Despite the existing evidence regarding the effectiveness and safety of high intensity exercise programmes, RA patients, rheumatologists, and physiotherapists have more positive expectations of conventional exercise programmes than of high intensity exercise programmes. Physiotherapists were the least positive about outcomes of high intensity exercise programmes while rheumatologists were the most positive. To help the implementation of new insights in the effectiveness of physical therapy modalities in rheumatology, the need for continuous education of patients, rheumatologists and physiotherapists is emphasised.
La maldiction du vainqueur dans les procdures d'appels d'offres

[fre] La malediction du vainqueur dans les procedures d'appels d'offres. La malediction du vainqueur, evoquee en particulier dans le cas cle l'attribution des concessions d exploitations petrolieres, est un phenomene specifique aux appels d'offres destines a attribuer un bien a valeur inconnue. Elle se caracterise schematiquement par le fait que le vainqueur de l'appel d'offres est generalement l'offreur qui a le plus surestime la valeur de l'objet offert. Cet article presente les differentes interpretations du phenomene qui ont ete proposees et en tente une evaluation. L'etude est menee dans le cadre de la theorie des encheres et repose sur l'analyse des comportements cles agents impliques dans un appel d'offres. Deux sortes d'explication sont avancees, l'une dans laquelle la valeur de l'objet pour le vainqueur est determinee independamment de la procedure, et l'autre dans laquelle cette valeur est revelee par la procedure. Les raisons de l'apparition de la malediction sont ensuite examinees. [eng] The winner's curse in auctions . The winner's curse is a plienomenon which appears in sealed bid auctions for items with unknown value, and which has been especially observed in the auctions used to acquire petroleum leases. Roughly, it is characterized by the fact that the winner in an auction tends to be the one who more overestimated the item true value. In this paper, we present the different interpretations of the problem given in the literature and try to evaluate them. Bidding theory methods are used to study the problem and the analysis is based on the determination of the bidders strategies. There are two kinds of explanation of the curse : one in which the object's value is independent of the bidding procedure and the other one in which this value is revealed by the bidding procedure. The reasons of the appearance of the winner's curse are then examined.
Unstable Horizons

We investigate some of the issues relating to the dynamical instability of general static spacetimes with horizons. Our paper will be partially pedagogical and partially exploratory in nature. After discussing the current understanding, we generalize the proposal of Gubser and Mitra, which identiﬁes dynamical instability of black branes with local thermodynamic instability, to include all product spacetimes with the horizon uniformly smeared over an internal space. We support our conjecture by explicitly exhibiting a threshold unstable mode for Schwarzschild- AdS 5 × S 5 black hole. Using the AdS/CFT correspondence, this simultaneously yields a prediction for a phase transition in the dual gauge theory. We also discuss implications for spacetimes with cosmological horizons.