Miracle-dz/UniFAR-FTUs huggingface dataset:
RegionTracker : A Case for Dual-Grain Tracking in the Memory System

This work proposes area, power and latency efficient implementations of memory hierarchy lookup structures aimed primarily at higher-level, relatively large on-chip caches. The mechanisms proposed provide location information for a large fraction of cache references eliminating the corresponding accesses to a much larger, slower and power demanding conventional tag array. The key contribution of this work is dual-grain tracking where a two-level, two-grain approach is used to dynamically focus a set of few tracking resources on high-payoff memory areas. At the first level, a coarse-grain structure tracks which large regions of memory have blocks currently cached and uses this information to detect newly accessed regions. A second-level fine-grain mechanism tracks the location of all the blocks within a few newly accessed regions as these are identified by the first level. We demonstrate that our dual-grain tracking significantly outperforms the conventional, demandbased allocation of tracking resources and propose RegionTracker, an implementation of dual-grain tracking. RegionTracker is simple, can be easily partitioned for optimizing its power and latency, does not use cascaded lookups and does not impose any restrictions on cache placement. RegionTracker can capture a large fraction of memory references for various unified L2 caches. For example, we show that a RegionTracker that uses just 5% of the storage used by a conventional tag array and that can track just 128 8Kbyte regions, is able to capture 56% of all memory references in a 4Mbyte L2 cache and reduce L2 lookup power by 38% on the average. We also demonstrate that RegionTracker can outperform and complement conventional, demand-driven tag set buffers.
Analysis and Prediction of Dynamic Disturbances of the BTA Deep Hole Drilling Process

BTA deep hole drilling method was developed for machining holes with a high length-to-diameter ratio, good surface finish and straightness. The dynamic properties of the slender tool-boring bar combination necessary for producing this type of geometry significantly influence the overall process dynamics and lead to characteristic disturbances. These disturbances can be classified as chatter vibration or spiralling. Statistical design of experiments has been employed to determine the influence of process parameters on the workpiece quality. Surface quality and roundness profiles have been determined. Time series of drilling torque, feed force and structure- and airborne sound were recorded during the experiments. This data has been analyzed with the longterm goal of intelligent control in mind. A model describing the longterm development of chatter vibration is presented.
Defending method against jamming attack in wireless ad hoc networks

Mobile ad hoc networks (MANETs) are dynamic mobile networks that can be formed in the absence of any pre-existing communication infrastructure. MANETs are vulnerable to jamming attack due to their salient characteristics. The objective of a jammer is to interfere with legitimate wireless communications, and to degrade the overall QoS of the network. In this paper, we propose a new method to react at jamming attacks. The military has long dealt with jamming by using frequency-hopping spread spectrum communication. Unlike frequency hopping that takes place at the PHY layer, our purpose takes place at the MAC layer.
Large-Scale Dynamical Fields Associated with Convectively Coupled Equatorial Waves

Abstract Convectively coupled equatorial waves, as previously detected in studies of wavenumber-frequency spectra of tropical clouds, are studied in more detail. Composite dynamical structures of the waves are obtained using linear regression between selectively filtered satellite-observed outgoing longwave radiation (OLR) data, and various fields from a global reanalysis dataset. The selective filtering of the OLR was designed to isolate the convective variations contributing to spectral peaks that lie along the equatorial wave dispersion curves for equivalent depths in the range of 12–50 m. The waves studied are the Kelvin, n = 1 equatorial Rossby (ER), mixed Rossby–gravity, n = 0 eastward inertio–gravity, n = 1 westward inertio–gravity (WIG), and n = 2 WIG waves. The horizontal structures of the dynamical fields associated with the waves are all generally consistent with those calculated from inviscid equatorial β-plane shallow water theory. In the vertical, there are statistically significant structur.
A determination of the sensitivity of the dental pulp of primary maxillary anterior teeth to electrical stimuli in children with unilateral and bilateral clefts.

A study was conducted to determine differences in pulpal sensitivity of the maxillary primary anterior teeth in groups of children with unilateral clefts of the lip, alveolar process and palate, bilateral clefts of the lip process, and children without clefts. Thirty-nine children between the ages of 4 and 5 years with a total of 216 maxillary primary anterior teeth were tested using a pulp tester. The results indicated that maxillary primary anterior teeth distal to the cleft site are unaffected and demonstrate pulpal responses similar to the control group, while maxillary primary anterior teeth mesial to the cleft site are affected and demonstrate significantly less response to pulp testing compared to the control group. The results of this study are important for the clinician in establishing a proper diagnosis and treatment plan for children with clefts. The determination of the vitality of the dental pulp is a diagnostic adjunct in establishing the appropriate treatment for teeth in the primary dentition. A diagnosis is made based upon the integration of information derived from a history, clinical and radiographic examinations, and special diagnostic aids such as electric pulp testing.
A privacy-preserving location-based alert system

Monitoring user location updates has important applications in public safety, national security, etc. However, sensitive information can be derived from movement patterns, so user locations must be disclosed only when some condition is met, for instance in proximity of a disaster area. Searchable encryption techniques provide provable guarantees for privacy, and allow decryption only when the location satisfies some predicate. Nevertheless, they rely on expensive pairing-based cryptography, and direct application to location updates leads to impractical solutions. We propose an efficient technique that leads to significant gains in performance by reducing the amount of pairing operations. We also implement an optimization that reuses results to expensive mathematical operations. Experimental results show that the proposed techniques significantly improve performance compared to the baseline.
Media Multitasking, Second Screening, and Political Knowledge: Task-Relevant and Task-Irrelevant Second Screening during Election News Consumption

This study tests the role of second screening during election news consumption in factual political knowledge. Data from an online survey conducted before the 2016 U.S. presidential election show that task-irrelevant second screening during election news consumption on television is negatively related to factual political knowledge, whereas the influence of task-relevant second screening is positive. Data also show that the relationships between task-relevant and task-irrelevant second screening and factual political knowledge are moderated by how much attention one pays to election news on television.
Leveraging the web context for context-sensitive opinion mining

Existing automated opinion mining methods either employ a static lexicon-based approach or a supervised learning approach. Nevertheless, the former method often fails to identify context-sensitive semantics of the opinion words, and the latter approach requires a large number of human labeled training examples. The main contribution of this paper is the illustration of a novel opinion mining method underpinned by context-sensitive text mining and inferential language modeling to improve the effectiveness of opinion mining. Our initial experiments show that the proposed the inferential opinion mining method outperforms the purely lexicon-based opinion finding method in terms of several benchmark measures. Our research opens the door to the development of more effective opinion mining method to discover business intelligence from the Web knowledge base.
Cortical areas involved in horizontal OKN in cats: metabolic activity

Cerebral cortex improves optokinetic responses to high target velocities, but the specific cortical areas involved are unknown. Using the 14C-deoxyglucose technique, we compared local rates of cerebral glucose utilization in cats viewing a moving optokinetic nystagmus (OKN) drum (experimental group) with those in cats viewing a stationary OKN drum (control group). In the experimental group, glucose utilization was increased in areas 17 and 18 and in 4 areas in suprasylvian cortex (21a, 21b, PMLS, and VLS). There were no changes in glucose utilization in areas 7, 19, 20a, 20b, ALLS, AMLS, DLS, PLLS, the posterior suprasylvian area, and the splenial visual area. The increases in glucose utilization in areas 17 and 18 were most significant in the granular layers (inner III and IV). In areas 21a, 21b, PMLS, and VLS, the increases in glucose utilization extended from layers II through V. There was also a regional distribution of the increase in glucose utilization within each of these areas in the experimental animals. The increase in glucose utilization did not include the rostral portion of PMLS or the borders between areas PMLS and 21a, and VLS and 21b. In addition, there was a smaller increase in glucose utilization at the borders between areas 17 and 18 than in other portions of these 2 areas. The results indicate that areas 17, 18, 21a, 21b, PMLS, and VLS may be involved in the cortical modulation of horizontal OKN. The laminar distribution of label within the cortical areas corresponds with the distribution of projections from the dorsal lateral geniculate nucleus to areas 17 and 18, and from areas 17 and 18 to PMLS. The regional distribution of the metabolic activity within areas 17, 18, and PMLS coincides with that portion of cortex expected to be excited by either the spatial frequency of the stimulus or the retinalslip velocity (drum velocity minus slow phase eye velocity) occurring during the eye movements.
Acute alcohol-related dysfunction as a predictor of employment status in a longitudinal study of working-age men in Izhevsk, Russia

Aims To investigate longitudinally the effect of alcohol consumption and related acute alcohol-related dysfunction on employment status. Design, setting and participants A total of 1143 men aged 25–55 years in regular paid employment and resident in the city of Izhevsk, Russia were interviewed between 2003–06 and then re-interviewed (2008–09) and their employment status ascertained. Measurements Exposures of interest were baseline alcohol intake (yearly total volume of ethanol consumed and non-beverage alcohols) and alcohol-related dysfunction, measured by a latent variable defined in terms of frequency of alcohol-related dysfunctional behaviours and by one or more episodes of zapoi (a period of continuous drunkenness lasting 2 or more days). The outcome of interest was whether or not men were still in regular paid employment at follow-up. The inter-relationship between these variables was investigated using structural equation modelling. Findings Total volume of ethanol consumed had no substantive effect on future employment status; however, taking into account education and other socio-demographic factors, there was strong evidence that loss of regular paid employment at follow-up was influenced by non-beverage alcohol consumption [odds ratio = 2.30 for non-beverage drinkers compared with beverage-only drinkers, 95% confidence interval (CI) = 1.21, 4.40)], latent acute alcohol-related dysfunction (odds ratio = 1.50 per standard deviation increase in dysfunction score, 95% CI = 1.20, 1.88) and zapoi (odds ratio = 3.08, 95% CI = 1.71, 5.55). Acute alcohol-related dysfunction was an important mediator of the relationship between non-beverage alcohol use and employment status. Conclusions Acute alcohol-related dysfunction is an important factor in determining whether men remain in employment and an important mediator of the effects of alcohol intake.
Indexing and selection of data items in huge data sets by constructing and accessing tag collections

We present here a new way of indexing and retrieving data in huge datasets having a high dimensionality. The proposed method speeds up the selecting process by replacing scans of the whole data by scans of matching data. It makes use of two levels of catalogs that allow efficient data preselections. First level catalogs only contain a small subset of the data items selected according to given criteria. The first level catalogs allow to carry out queries and to preselect items. Then, a refined query can be carried out on the preselected data items within the full dataset. A second level catalog maintains the list of existing first level catalogs and the type and kind of data items they are storing. We established a mathematical model of our indexing technique and show that it considerably speeds up the access to LHCb experiment event data at CERN (European Laboratory for Particle Physics).
4.2.2 Optimization Method

with x z = vertical acceleration at sensor i x m = reference value for acceleration evaluation, to be set by operator c i,RMS =RMS-criterion for sensor i t 0 = start of time integration interval t e = end of time integration interval Besides the Root Mean Square value (RMS value), which rates amplitudes and their duration time, peak values are includes as well: (4.7) where c i,peak denotes the peak-criterion value. With this double criterion strategy, a trade-in of low RMS values for very high but short peaks is avoided. RMS values and peak values of all sensors were weighted equally, with slight emphasis on the front fuselage part. The numerical procedure used to solve this nonlinear multi objective multi parameter optimization problem is based on the The aim is to determine a set of parameters p in a way that minimizes a cost function f(x) under consideration of different equality and inequality constraints g(x). The general form of the cost function can be stated as (4.8) with the constraints (4.9) (4.10) and the parameter domain boundaries (4.11) Cost function and constraints have to be continuous, but no specific structure is required. For the acceleration minimization , the cost function can now be stated as (4.12) c i RMS , x ˙˙ z x ˙˙ m – () 2 t 0 t e ∫ dt = c i peak , max abs x ˙˙ z x ˙˙ m – () () = f x () min x ℜ n ∈ ; = g j x () 0 j ; 1 2 … m G , , , = = g j x () 0 j ; ≥ m G 1 + 2 … m , , , = x o x x u ≥ ≥ x ˙˙ z x ˙˙ m RMS –     2 t d t 0 t e ∫ i 1 = 16 ∑ max abs x ˙˙ z x ˙˙ m peak –         i 1 = 16 ∑ + min = The acceleration itself is determined as (4.13) with (4.14) where u(t) stands for the model input, a function dependent on time t and the controller parameters p. To derive the free system parameters, the optimization strategy shown in figure 13 was used. The system was subjected to the three different excitation cases …
SEWOS : Bringing Semantics into Web operating System

By the time, those needs developed starting from ordinary static pages, moving on to fully dynamic ones and reaching the need for services and applications to be available on the web! Those demands changed the perspective of our web today to what’s said to be a cloud of computing that aims mainly to provide applications as services for web user. As time goes by, applications were just not enough; users needed their applications and data available anytime, anywhere. For these reasons, traditional operating system functionality was needed to be provided as a service that integrates several applications together with user’s data. In this paper we present the detailed description, implementation and evaluation of SEWOS [1]- a semantically enhanced web operating system-that provides the feel, look and mimic traditional desktop applications using desktop metaphor.
There is more than complex contagion: an indirect influence analysis on Twitter

Social influence in social networks has been extensively researched. Most studies have focused on direct influence, while another interesting question can be raised as whether indirect influence exists between two users who're not directly connected in the network and what affects such influence. In addition, the theory of complex contagion tells us that more spreaders will enhance the indirect influence between two users. Our observation of intensity of indirect influence, propagated by n parallel spreaders and quantified by retweeting probability in two Twitter social networks, shows that complex contagion is validated globally but is violated locally. In other words, the retweeting probability increases non-monotonically with some local drops. A quantum cognition based probabilistic model is proposed to account for these local drops.
Deployment of Platform Independent Services on iTV

Development of multiplatform applications requires a lot of effort to implement very different user interfaces. Automatic user interface generation can reduce time-to-prototype and time-to market for general purpose applications. This paper describes the Multichannel Object REnderer (MORE), which provides a model-based framework for platform independent and automatic runtime generation of user interfaces, able to support a large set of devices, including iTV MHP-enabled set-top boxes.
Guiding user groupings Learning and combining classification for itemset structuring

Structuring is one of the fundamental activities needed to understand data. Human structuring activity lies behind many of the datasets found on the Internet that contain grouped instances, such as file or email folders, tags and bookmarks, ontologies and linked data. Understanding the dynamics of large-scale structuring activities is a key prerequisite for theories of individual behaviour in collaborative settings as well as for applications such as recommender systems. In particular, a key question is to what extent the “structurer” – be it human or machine – is driven by his/its own prior structures, and to what extent by the structures created by others such as one’s communities. In this paper, we propose a methodology for identifying these dynamics. The methodology relies on dynamic conceptual clustering, and it simulates an intellectual structuring process operating over an extended period of time. The development of a grouping of dynamically changing items follows a dynamically changing and collectively determined “guiding grouping”. The analysis of a real-life dataset of a platform for literature management suggests that even in such a typical “Web 2.0” environment, users are guided somewhat more by their own previous behaviour than by their peers.
Lessons learned from the clinical reappraisal study of the Composite International Diagnostic Interview with Latinos

Given recent adaptations of the World Health Organization's World Mental Health Composite International Diagnostic Interview (WMH‐CIDI), new methodological studies are needed to evaluate the concordance of CIDI diagnoses with clinical diagnostic interviews. This paper summarizes lessons learned from a clinical reappraisal study done with US Latinos. We compare CIDI diagnoses with independent clinical diagnosis using the World Mental Health Structured Clinical Interview for DSM‐IV (WMH‐SCID 2000). Three sub‐samples stratified by diagnostic status (CIDI positive, CIDI negative, or CIDI sub‐threshold for a disorder) based on nine disorders were randomly selected for a telephone re‐interview using the SCID. We calculated sensitivity, specificity, and weight‐adjusted Cohen's kappa. Weighted 12 month prevalence estimates of the SCID are slightly higher than those of the CIDI for generalized anxiety disorder, alcohol abuse/dependence, and drug abuse/dependence. For Latinos, CIDI‐SCID concordance at the aggregate disorder level is comparable, albeit lower, to other published reports. The CIDI does very well identifying negative cases and classifying disorders at the aggregate level. Good concordance was also found for major depressive episode and panic disorder. Yet, our data suggests that the CIDI presents problems for assessing post‐traumatic stress disorder (PTSD) and generalized anxiety disorder (GAD). Recommendations on how to improve future versions of the CIDI for Latinos are offered. Copyright © 2009 John Wiley & Sons, Ltd.
Android - On-device detection of SMS catchers and sniffers

With 6.1 trillion text messages sent in 2010 alone, short message service (SMS) is still one of the most popular mobile communication services. Due to its continuing popularity, SMS technology is nowadays used in various fields of application. This also includes security-sensitive fields such as e-banking, or e-government. In these fields, SMS technology is for instance employed to authorize financial transactions or the creation of qualified electronic signatures. Modern smartphone platforms such as Google Android provide application developers with the means to include SMS functionality. This can be beneficial in most cases but also facilitates the implementation of malware that is able to send and receive SMS messages unnoticed by the legitimate end user. In this context, SMS sniffers and SMS catchers have recently attracted attention. This kind of malware intercepts incoming SMS messages either to spy on security-sensitive data transmitted via SMS or to receive SMS-based malware control commands. For security-sensitive SMS-based applications, SMS catchers pose a serious threat. A recent attack on SMS-based e-banking systems has employed SMS catchers on smartphones to steal 36.000. 000 Euro from corporate and private bank accounts in Europe. Unfortunately, security software for smartphones is still in the fledging stages and current solutions are not able to reliably detect SMS catchers. To overcome this problem, we introduce different methods to detect SMS sniffers and SMS catchers on smartphones. We discuss benefits and limitations of the proposed methods and show how these methods can be assembled to a comprehensive detection workflow for SMS-based malware. By providing means to detect SMS catchers and sniffers on smartphones, our work contributes to the security of current and future SMS-based applications.
Analysis and design of an unconditionally stable common-drain class-B RF power amplifier in 90 nm CMOS technology

Modern communication networks demand power amplifiers (PAs) which are efficient and have low distortion. The common drain amplifier has the potential to become a linear amplifier with good efficiency, when biased at or above class-B. The main challenge is to provide unconditional stability while still maintaining adequate transducer gain so that the power added efficiency (PAE) will not be compromised by low gain and, thus, resulting in better overall performance. In this contribution, analysis and design of an unconditionally stable common drain class-B PA for the LTE band at 2.55 GHz in 90 nm CMOS is presented. The simulation results show that the designed PA can deliver an output power of more than 27.2 dBm with gain of 6.1 dB and PAE greater than 43.0 % when operated from 2.5 V supply. The circuit has a third order intermodulation distrotion suppression of 32.0 dBc at 3 dB input back-off.