Miracle-dz/UniFAR-FTUs huggingface dataset:
Consumer Transactions on the Web

The rapid development of the Web has enabled people to gather information quickly though may not be accurately. The Web has also becoming a marketplace used by many. With buy and sell opportunity comes scamming opportunity. Many people have bought and sold on the Web via commercial listing sites such as eBay or social networks such as kijiji. Consumers in general have good experience in Web transactions but at the same time many have been cheated and are hesitant to use the Web to acquire goods or services again. There are blacklists which identify malicious sites, however, they are not up-to-date and the scammers are always one step ahead in their schemes. This work reviews the current status of trust in Web transactions, in particular, consumer transactions.
A Self-Aligning Cylindrical Sliding Short Plunger for Millimeter-Wave Rectangular Waveguides and Its Application in a Reflection-Type Phase Shifter

A sliding short for millimeter-wave rectangular waveguides and its dedicated application in a reflection-type phase shifter are presented. The design of the sliding short has self-aligning properties, where the correct and stable positioning of the sliding short on the central axis of a rectangular waveguide is guaranteed. Unwanted and disruptive waveguide wall contacts are avoided by design. Misalignment of the sliding short is only possible due to mechanical tolerances. This is systematically investigated by parametric full-wave simulations. Measurements of a <inline-formula> <tex-math notation="LaTeX">${W}$ </tex-math></inline-formula>-band prototype yield a return loss better than 0.1 dB for offset positions from 0 to 1.5 mm throughout the whole <inline-formula> <tex-math notation="LaTeX">${W}$ </tex-math></inline-formula>-band. A mechanical reference plane outside of the rectangular waveguide is used for correct and reproducible axial positioning of the sliding short in the waveguide. Mechanically measured offset positions and those retrieved from the reflected phase agree to a maximum error of 6 <inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula>, which is within the manufacturing tolerance and the measurement uncertainty. Based on the proposed self-aligning sliding short, a reflection-type phase shifter has been realized, where a branch-guide coupler with a seven-slot design is used as broadband quadrature hybrid. Measurement results indicate an insertion loss in the range of 0.2 dB from 80 to 105 GHz and a maximum phase shift of ~160° and 330° at 75 and 110 GHz, respectively.
Quantifying the Cache Filtering Effect for Multimedia Applications in Embedded Systems

This paper is part of an ongoing comprehensive study on the interaction between various cache memories employed in a typical memory hierarchy in embedded systems. The goal of the study is to quantify the effects of various cache organizations on the other caches within the hierarchy, and to develop an optimal architecture in which each cache is customized to perform a specific task. This paper looks at the basic effect of a level-one cache on the access patterns for the level-two cache. We limit the study to multimedia applications in order to obtain useful, meaningful, and understandable results at a per-application scale. Our results show that the L1 has a significant filtering effect on the L2 access pattern, making it highly streamlined. Based on the results, we propose small L2 caches with simple prefetch buffers for media-processing architectures.
A REASONING MODEL BASED ON AN EXTENDED DEMPSTER-SHAFER

The Dempster-Shafer (D-S) theory of evidence suggests a coherent approach to aggregate evidence bearing on groups of mutually exclusive hypotheses; however, the uncertain relationships between evidence and hypotheses are difficult to represent in applications of the theory. In this paper, we extend the multivalued mapping in the D-S theory to a probabilistic one that uses conditional probabilities to express the uncertain associations. In addition, Dempster’s rule is used to combine belief update rather than absolute belief to obtain results consistent with Bayes’ theorem. The combined belief intervals form probability bounds under two conditional independence assumptions. Our model can be applied to expert systems that contain sets of mutually exclusive and hierarchies. exhaustive hypotheses, which may or may not form
A MIMO framework for 4G systems: WINNER concept and results

In this paper, the MIMO framework within WINNER for fourth generation radio systems is further developed and assessed for various deployment scenarios. The emphasis is on radio network system aspects of multi-antenna techniques where preferred configurations for three basic deployment scenarios are given. In the wide area scenario which aims to provide ubiquitous coverage for rural, suburban and urban areas, the scheme selection depends on the user density of spatially separated users. It ranges from grid of fixed beams (GoB) (TDMA based) in case of few users to SDMA with a fixed linear preceding codebook, and finally to adaptive beams with SDMA for highly dense system. In the metropolitan area scenario which is targeting system deployments in large urban environments, multi-user (MU) MIMO preceding performs very well for slow moving users. For higher velocities, per antenna rate control (PARC) or adaptive linear dispersion codes (LDCs) are better choices. In the local area scenario which is characterized by isolated sites, the combination of SDMA and spatial multiplexing achieved by MU-MIMO preceding provides high spectral efficiency.
The Privacy-Utility Tradeoff for Remotely Teleoperated Robots

Though teleoperated robots have become common for more extreme tasks such as bomb diffusion, search-and-rescue, and space exploration, they are not commonly used in human-populated environments for more ordinary tasks such as house cleaning or cooking. This presents near-term opportunities for teleoperated robots in the home. However, a teleoperator’s remote presence in a consumer’s home presents serious security and privacy risks, and the concerns of end-users about these risks may hinder the adoption of such in-home robots. In this paper, we define and explore the privacy-utility tradeoff for remotely teleoperated robots: as we reduce the quantity or fidelity of visual information received by the teleoperator to preserve the end-user’s privacy, we must balance this against the teleoperator’s need for sufficient information to successfully carry out tasks. We explore this tradeoff with two surveys that provide a framework for understanding the privacy attitudes of end-users, and with a user study that empirically examines the effect of different filters of visual information on the ability of a teleoperator to carry out a task. Our findings include that respondents do desire privacy protective measures from teleoperators, that respondents prefer certain visual filters from a privacy perspective, and that, for the studied task, we can identify a filter that balances privacy with utility. We make recommendations for in-home teleoperation based on these findings. Categories and Subject Descriptors H.1. 2 [Models and Principles]: User/Machine Systems— human factors, software psychology General Terms Design; Human Factors
Planning with Sensing : Scaling Up

We develop a domain-independent action selection mechanism for planning with sensing that does not build full contingent plans but just chooses the action to do next in a closedloop fashion. For this to work, the mechanism must be fast and informed. We take advantage of recent ideas that allow delete and precondition-free contingent problems to be converted into conformant problems, and conformant problems into classical ones, for mapping the action selection problem in contingent planning to an action selection problem in classical planning. The formulation is then tested over standard benchmarks and over contingent problems with exponential size plans. The proposed action selection mechanism is shown to scale up in both settings, producing behaviors that lead to the goal in spite of the lack of explicit contingent plans.
Joint optimization of detection threshold and throughput in multiband cognitive radio systems

In cognitive radio (CR) systems, efficient spectrum sensing ensures secondary users (SUs) to successfully access the spectrum hole. Typically, the detection problem has been studied separately from the optimization of throughput of secondary network. However, due to non-zero probabilities of miss detection and false alarm, the sensing phase has an impact on the throughput of CR networks as well as on the transmission of primary users (PUs). In this paper, using energy detection, we maximize the total throughput of all SUs by jointly optimizing the detection threshold and resource allocation in multiband CR systems. Efficient algorithms including online and offline solutions are proposed to solve the proposed mix-integer programming problem, which show better performance compared with traditional uniform detection threshold selection algorithm.
Drug discovery for alopecia: gone today, hair tomorrow

Introduction: Hair loss or alopecia affects the majority of the population at some time in their life, and increasingly, sufferers are demanding treatment. Three main types of alopecia (androgenic [AGA], areata [AA] and chemotherapy-induced [CIA]) are very different, and have their own laboratory models and separate drug-discovery efforts. Areas covered: In this article, the authors review the biology of hair, hair follicle (HF) cycling, stem cells and signaling pathways. AGA, due to dihydrotesterone, is treated by 5-α reductase inhibitors, androgen receptor blockers and ATP-sensitive potassium channel-openers. AA, which involves attack by CD8+NK group 2D-positive (NKG2D+) T cells, is treated with immunosuppressives, biologics and JAK inhibitors. Meanwhile, CIA is treated by apoptosis inhibitors, cytokines and topical immunotherapy. Expert opinion: The desire to treat alopecia with an easy topical preparation is expected to grow with time, particularly with an increasing aging population. The discovery of epidermal stem cells in the HF has given new life to the search for a cure for baldness. Drug discovery efforts are being increasingly centered on these stem cells, boosting the hair cycle and reversing miniaturization of HF. Better understanding of the molecular mechanisms underlying the immune attack in AA will yield new drugs. New discoveries in HF neogenesis and low-level light therapy will undoubtedly have a role to play.
Rotor unbalance and broken rotor bar detection in inverter-fed induction motors at start-up and steady-state regimes by high-resolution spectral analysis

Fault detection in induction motors operated by inverters is an actual industrial need. Most line-fed machines are being replaced by inverter-fed drives, due to their improved speed regulation, and fast dynamic response, despite the insertion of undesired harmonics. Under this particular operating condition, most of the detection techniques so far developed are unable to distinguish induction motor faults. This paper presents a detection methodology based on the combined use of two techniques: Complete Ensemble Empirical Mode Decomposition and the Multiple Signal Classification. The proposed methodology is applied to an inverter-fed induction motor during a start-up followed by a steady-state regime, where it is verified its capability to identify a single broken rotor bar, mixed eccentricity in the form of motor-load misalignment, and the combination of both faults. From the experimental results, the proposed methodology is proven to be sensitive enough to detect the fault evolution in the time-frequency plane of single and combined faults under different operating regimes (start-up and steady-state) in inverter-fed induction motor. © 2015 Elsevier B.V. All rights reserved.
Internet of Things: Remote Patient Monitoring Using Web Services and Cloud Computing

The focus on this paper is to build an Android platform based mobile application for the healthcare domain, which uses the idea of Internet of Things (IoT) and cloud computing. We have built an application called 'ECG Android App' which provides the end user with visualization of their Electro Cardiogram (ECG) waves and data logging functionality in the background. The logged data can be uploaded to the user's private centralized cloud or a specific medical cloud, which keeps a record of all the monitored data and can be retrieved for analysis by the medical personnel. Though the idea of building a medical application using IoT and cloud techniques is not totally new, there is a lack of empirical studies in building such a system. This paper reviews the fundamental concepts of IoT. Further, the paper presents an infrastructure for the healthcare domain, which consists of various technologies: IOIO microcontroller, signal processing, communication protocols, secure and efficient mechanisms for large file transfer, data base management system, and the centralized cloud. The paper emphasizes on the system and software architecture and design which is essential to overall IoT and cloud based medical applications. The infrastructure presented in the paper can also be applied to other healthcare domains. It concludes with recommendations and extensibilities found for the solution in the healthcare domain.
Rotating your face using multi-task deep neural network

Face recognition under viewpoint and illumination changes is a difficult problem, so many researchers have tried to solve this problem by producing the pose- and illumination- invariant feature. Zhu et al. [26] changed all arbitrary pose and illumination images to the frontal view image to use for the invariant feature. In this scheme, preserving identity while rotating pose image is a crucial issue. This paper proposes a new deep architecture based on a novel type of multitask learning, which can achieve superior performance in rotating to a target-pose face image from an arbitrary pose and illumination image while preserving identity. The target pose can be controlled by the user's intention. This novel type of multi-task model significantly improves identity preservation over the single task model. By using all the synthesized controlled pose images, called Controlled Pose Image (CPI), for the pose-illumination-invariant feature and voting among the multiple face recognition results, we clearly outperform the state-of-the-art algorithms by more than 4~6% on the MultiPIE dataset.
A Discrete Event Oriented Framework for a Smart House Behavior Monitor System

A discrete event oriented framework to build a system to automatically monitor the behavior of people living alone, and assist them in case of accidents or abnormal situations, is proposed. The system can acquire information through cameras and other sensors (movement, temperature, humidity and sound sensors among others). The images from the cameras are automatically analyzed to get information about the status of the person, defined by his location inside the house, his position, and the intensity of movement. The images are not permanently stored, nor available for viewing, in order to protect the privacy of the person being monitored. The cameras and other sensors can also be used to get information about the room status (the number of persons in it, the status of windows, doors, lights and other appliances, the room temperature and humidity, etc.) Additional sensors can also be used to get external status information, such as outside temperature and weather conditions. All the information is mapped to discrete set variables that can take a reduced number of values. These variables are used to define the state of the system, activities, and behaviors. This information can be used to build behavior models to characterize the person normal behavior during a training period, and later use this characterization to detect atypical behaviors.
Pathogenesis of pulmonary arterial hypertension: lessons from cancer

Although the causal pathomechanisms contributing to remodelling of the pulmonary vascular bed in pulmonary arterial hypertension (PAH) are still unclear, several analogous features with carcinogenesis have led to the emergence of the cancer-like concept. The major similarities concern the altered crosstalk between cells from different tissue types, unexplained proliferation and survival of pulmonary smooth muscle and endothelial cells, the metabolic (glycolytic) shifts, and the association with the immune system. However, major differences between PAH and cancer exist, including the absence of invasion and metastasis, as well as the pathogenic genes involved and the degrees of angiogenesis impairment and genetic instability. It is clear that PAH is not a cancer, but this cancer-like concept has opened a new field of investigation and raises the possibility that antiproliferative and/or oncological drugs may exert therapeutic effects not only in cancer, but also in PAH. Such analogies and differences are discussed here.
Text classification in the Turkish marketing domain for context sensitive ad distribution

In this paper, we construct and compare several feature extraction approaches in order to find a better solution for classification of Turkish web documents in the marketing domain. We produce our feature extraction techniques using characteristics of the Turkish language, structures of web documents and online content in the marketing domain. We form datasets in different feature spaces and we apply several Support Vector Machine (SVM) configurations on these datasets. We conduct our study considering the performance needs of practical context sensitive systems. Our results show that linear kernel classifiers achieve the best performance in terms of accuracy and speed on text documents expressed as keyword root features.
Power efficient high-rate data service provisioning in vehicular networks

Power efficient resource allocation is attracting a lot of attention aswireless networks get more populated with data users. In this paper we focus on vehicular networks where Roadside Units (RUs) provide high-rate data service for the users of vehicles. We take into account both queue and channel dynamics of the wireless links and propose a channel and queue aware power allocation, where Base Station (BS) and RU adjust their transmission power based on the data available in their queues. Numerical results confirm that the proposed scheme results in low power consumption, without affecting the throughput and delay performance of the system.
Postharvest quality and health of kiwifruit ‘Hayward’ affected by Pseudomonas syringae pv. actinidiae

Pseudomonas syringae pv. actinidiae (Psa) is the causal agent of bacterial canker of kiwifruit. The presence of Psa could affect the postharvest quality and health of fruit, which depends on the physiological state of the fruits and the techniques used for storage. In order to evaluate the effects of the presence of the pathogen on postharvest quality, the fruits from 12 orchards of Actinidia deliciosa 'Hayward', affected or not by Psa, were examined. Firmness, total soluble sugar (TSS), titratable acidity (TA) and postharvest rots were measured in different storage conditions, such as normal and controlled atmosphere, at three time points: at harvest, after 90 days storage, and in shelf life (after 120 days storage). The experiments were performed for two years. A further pre-storage treatment with 1-MCP was applied to evaluate the effects on fruit quality and storage. Significant differences between healthy and diseased samples were found for all the parameters analyzed. Fruits coming from diseased orchards showed lower firmness and TA values and higher TSS compared to healthy fruits. The fruits from diseased plants were much more susceptible to Botrytis rot. The results confirmed that the presence of Psa in orchards is associated to lower shelf life of kiwifruits and higher incidence of postharvest rots.
Identifying the Social Contexts Present for Mouthing Behaviors in Bottlenose Dolphins ( Tursiops truncatus )

ii ACKNOWLEDGMENTS . iii DEDICATION . iv LIST OF TABLES . vii LIST OF ILLUSTRATIONS . viii LIST OF ABBREVIATIONS . ix CHAPTER I INTRODUCTION . 1 Current Study . 12 CHAPTER II METHODS . 14 Subjects and Facility . 14 Data Collection . 15 Data Coding . 16 Statistical Analyses . 17 CHAPTER III RESULTS . 21 Latent Class Analysis . 21 Age-Class Analyses . 26 Sex-Differences Analyses . 32 CHAPTER IV – DISCUSSION. 36 Future Directions . 47 vi Conclusions . 48 APPENDIX A – OPERATIONAL DEFINITIONS OF ALL BEHAVIORS CODED . 49 APPENDIX B – IACUC Approval Letter . 53 REFERENCES . 54
Big Data Health Care System Using Distributed Wearable Sensors

The modern world facilitates a luxurious life with more comfort using technology support. The latest developments not only support the human life, but it causes problems to the humans in many ways. The primary concern of Big Data is underway in Healthcare unit. Alerting before occurring of problem is evolved with the help of big data health care solutions. Different types of sensors can be integrated with big data to produce a good solution. Our system provides a mechanism for health care systems using hidden Markov model. It acts as an intelligent system. It provides appropriate support and forwarding health related data to do real time analysis for analyzing and understanding health status.
The Contribution of Perceived Father Involvement towards Relational Self-Esteem in Early Adolescence

In early adolescence, children experience significant changes in several aspects of their lives, including changes in social relationship, whether in relationship with family or friends. Those changes may cause adolescents to encounter adaptation problems. Adolescents need a positive relational self-esteem to adapt well to changes. This study examined the contribution of perceived father involvement towards relational self-esteem in early adolescence. Father involvement was measured using Nurturant Fathering Scale and Father Involvement Scale (Reported), while relational self-esteem was measured using Relational SelfEsteem Scale. The participants of this study were adolescents aged 12-15 years (N=162). The results indicated that father nurturance was a significant predictor of relational self-esteem but father involvement was not. In addition, relational self-esteem was neither affected by children’s characteristics, such as age or gender, nor by family size and parent’s characteristics, such as age, occupation, and education level.
The Practice of Non�?Parametric Estimation by Solving Inverse Problems: The Example of Transformation Models

This model is used as an example to illustrate the practice of the estimation by solving linear functional equations. This paper is specially focused on the data-driven selection of the regularization parameter and of the bandwidths. Simulations experiments illustrate the relevance of this approach. Copyright (C) 2010 The Author(s). The Econometrics Journal (C) 2010 Royal Economic Society
The ecology of social interactions in online and offline environments

The rise in online social networking has brought about a revolution in social relations. However, its effects on offline interactions and its implications for collective well-being are still not clear and are under-investigated. We study the ecology of online and offline interaction in an evolutionary game framework where individuals can adopt different strategies of socialization. Our main result is that the spreading of self-protective behaviors to cope with hostile social environments can lead the economy to non-socially optimal stationary states.