Miracle-dz/UniFAR-FTUs huggingface dataset:
Examining TCP Short Flow Performance in Cellular Networks Through Active and Passive Measurements

In this study we examine the conditions in a current cellular network by examining data passively collected in the core of a cellular operator during a 24-hour period. More than 2 billion traffic measurement data points from over 500,000 cellular users are analyzed. The analysis characterizes the Time-of-Day (ToD) variations for traffic intensity and session length and serves as a complement to the active measurements also performed. A comprehensive active measurement campaign was completed in the HSDPA+ and LTE networks of the four major Swedish operators. We collect around 50,000 data points from stationary cellular modems and analyze the ToD variation pattern for underlying network layer metrics such as delay and throughput. In conjunction with the time-varying session size distribution obtained from the passive measurements, we then analyze the ToD impact on TCP flows of varying sizes. The ToD effects are examined using time series analysis with Lomb-Scargle periodograms and differential Bayesian Information Criterion to allow comparison of the relative impact of the network ToD effects. The results show that ToD effects are predominantly impacting longer-running flows, and although short flows are also impacted they are mostly constrained by other issues such as protocol efficiency.
Eye movement study of reading text on a mobile phone using paging, scrolling, leading, and RSVP

Which text presentation format is best to use on a mobile phone? We have evaluated Scrolling, Paging, Leading, and Rapid Serial Visual Presentation (RSVP) in a balanced repeated-measurement study employing 16 subjects on a mobile phone. Besides monitoring reading speed, comprehension, and task load, we also tracked eye movements while reading. The results show that text presented in the Page format is read significantly faster than both the Scrolling and the RSVP format without any significant differences in comprehension. The Page format was moreover significantly less demanding to use compared to Leading and RSVP for most factors according to NASA-TLX. RSVP was found to significantly decrease eye movements whereas Leading was found to increase them. Leading yielded very irregular eye movements, but this did not affect reading speed. These results show that Paging offers best readability on a mobile phone, an interesting finding given that Scrolling is the format predominantly used today.
Social Aspects of Web Page Contents

In this paper we try to consider a Web page as information with social aspects. Each Web page is the result of invisible social interaction. This interaction between different groups of people translates into a certain unification of Web page creation. External signs of this unification are the features of the Web page, that meets the user’s expectations. Through analysis of the features, we can obtain information that can simply describe the Web page. This simple description contains strong information about the social group the page is intended for. If the user uses this information to refine the search, then he identifies himself as a member of a certain social group. For the description of the social aspects of Web pages we use the term MicroGenre. This paper describes the fundamental concepts of MicroGenre and also illustrate experiments for the detection and usage of MicroGenres.
A New Calibration Method Using Low Cost MEM IMUs to Verify the Performance of UAV-Borne MMS Payloads

Spatial information plays a critical role in remote sensing and mapping applications such as environment surveying and disaster monitoring. An Unmanned Aerial Vehicle (UAV)-borne mobile mapping system (MMS) can accomplish rapid spatial information acquisition under limited sky conditions with better mobility and flexibility than other means. This study proposes a long endurance Direct Geo-referencing (DG)-based fixed-wing UAV photogrammetric platform and two DG modules that each use different commercial Micro-Electro Mechanical Systems’ (MEMS) tactical grade Inertial Measurement Units (IMUs). Furthermore, this study develops a novel kinematic calibration method which includes lever arms, boresight angles and camera shutter delay to improve positioning accuracy. The new calibration method is then compared with the traditional calibration approach. The results show that the accuracy of the DG can be significantly improved by flying at a lower altitude using the new higher specification hardware. The new proposed method improves the accuracy of DG by about 20%. The preliminary results show that two-dimensional (2D) horizontal DG positioning accuracy is around 5.8 m at a flight height of 300 m using the newly designed tactical grade integrated Positioning and Orientation System (POS). The positioning accuracy in three-dimensions (3D) is less than 8 m.
Evaluating the accessibility of rich internet applications

The Web has been growing in size and complexity and is used for the most diverse activities in our every day life, becoming almost indispensable. Besides, Web applications are becoming more popular, and consequently used by a wide range of people. Thus, it is important to evaluate the accessibility of the new Rich Internet Applications (RIA) to guarantee that everyone can access the information. Currently, there are some tools to evaluate the accessibility of classical Web pages, which use WCAG guidelines. However, Web applications impose different challenges, so it is mandatory to find a way to automatically obtain the dynamically introduced HTML code, in order to evaluate what users really experience. This paper details a new process of accessibility evaluation of Web applications, which evaluates the content by triggering possible events that partially change the Web page. It also presents an experimental study with several Web applications, demonstrating the potential of this framework in evaluating Web applications.
Unterschiede in der Partnerschaftsqualität und im dyadischen Coping bei verschiedenen bindungsbezogenen Paartypen

Zusammenfassung Die Bindung der Partner hängt mit wichtigen Partnerschaftsmerkmalen zusammen. Anhand der Ausprägungen auf den Bindungsdimensionen Angst und Vermeidung wurde mittels Clusteranalyse bei 304 Paaren untersucht, ob es bestimmte Typologien in der Zusammensetzung von Bindungsausprägungen beider Partner in Partnerschaften gibt und ob sich diese Typen hinsichtlich Partnerschaftsqualität und dyadischem Coping unterscheiden. Es konnten 3 Partnerschaftstypen identifiziert werden: Sichere Paare (N=114, niedrige Werte auf beiden Bindungsdimensionen), ängstlich-vermeidende Paare (N=62, höhere Werte auf beiden Bindungsdimensionen als sichere Paare) und gemischte Paare (N=128, Männer mit höheren Angstwerten als die Frauen). Die sicheren Paare berichteten über höhere Partnerschaftsqualität sowie mehr positives und weniger negatives dyadisches Coping als die anderen Paartypen. Möglichkeiten des Einbezugs bindungstheoretischer Aspekte in die Diagnostik sowie in paartherapeutische Interventionen werden diskutiert.
The biological function of some human transcription factor binding motifs varies with position relative to the transcription start site

A number of previous studies have predicted transcription factor binding sites (TFBSs) by exploiting the position of genomic landmarks like the transcriptional start site (TSS). The studies' methods are generally too computationally intensive for genome-scale investigation, so the full potential of 'positional regulomics' to discover TFBSs and determine their function remains unknown. Because databases often annotate the genomic landmarks in DNA sequences, the methodical exploitation of positional regulomics has become increasingly urgent. Accordingly, we examined a set of 7914 human putative promoter regions (PPRs) with a known TSS. Our methods identified 1226 eight-letter DNA words with significant positional preferences with respect to the TSS, of which only 608 of the 1226 words matched known TFBSs. Many groups of genes whose PPRs contained a common word displayed similar expression profiles and related biological functions, however. Most interestingly, our results included 78 words, each of which clustered significantly in two or three different positions relative to the TSS. Often, the gene groups corresponding to different positional clusters of the same word corresponded to diverse functions, e.g. activation or repression in different tissues. Thus, different clusters of the same word likely reflect the phenomenon of 'positional regulation', i.e. a word's regulatory function can vary with its position relative to a genomic landmark, a conclusion inaccessible to methods based purely on sequence. Further integrative analysis of words co-occurring in PPRs also yielded 24 different groups of genes, likely identifying cis-regulatory modules de novo. Whereas comparative genomics requires precise sequence alignments, positional regulomics exploits genomic landmarks to provide a 'poor man's alignment'. By exploiting the phenomenon of positional regulation, it uses position to differentiate the biological functions of subsets of TFBSs sharing a common sequence motif.
Duplication of the Gallbladder Associated with Choledocal Cyst : A Case Report

Introduction: Gallbladder duplication is a rare anatomic malformation, which can now be detected by preoperative imaging study. Case presentation: This is a retrospective case report of 39-year-old woman presented during a routine US (ultrasonography) examination complaining intermittent abdominal pain in the upper right quadrant. Laboratory examinations found normal values of total bilirubin, transaminases and alkaline phosphatase. US examination of the right upper quadrant was performed. It was noticed that the gallbladder was duplicated, but there were no distended wall thickening or presence of gallstone. A cystic lesion was noticed that was firstly identified as a pancreatic cyst. The MR cholangiography showed duplicated gallbladder with two cystic ducts and a choledochal cyst. Conclusion: Duplication of the gallbladder is a rare congenital abnormality, which requires special attention to the biliary ductal and arterial anatomy. Laparoscopic cholecystectomy with intraoperative cholangiography seems to be the appropriate treatment.
Patterns of Cumulative Abuse Among Female Survivors of Intimate Partner Violence

Drawing on the Women’s Health Effects Study, a community sample of women (N = 309) who recently left an abusive partner, this study examines patterns of cumulative abuse experiences over the life course, their socioeconomic correlates, and associations with a range of health outcomes. Latent class analysis identified four groups of women with differing cumulative abuse profiles: Intimate Partner Violence (IPV) Dominant, Child Abuse and IPV, All Forms, and All Forms Extreme. We find a relationship pattern between cumulative abuse and socioeconomic circumstances, and significantly worse health outcomes among women with the All Forms Extreme profile. Implications for research and practice are discussed.
How Do Emerging Technologies Conquer the World? An Exploration of Patterns of Diffusion and Network Formation

Grasping the fruits of “emerging technologies” is an objective of many government priority programs in a knowledge-based and globalizing economy. We use the publication records (in the Science Citation Index) of two emerging technologies to study the mechanisms of diffusion in the case of two innovation trajectories: small interference RNA (siRNA) and nano-crystalline solar cells (NCSC). Methods for analyzing and visualizing geographical and cognitive diffusion are specified as indicators of different dynamics. Geographical diffusion is illustrated with overlays to Google Maps; cognitive diffusion is mapped using an overlay to a map based on the ISI Subject Categories. The evolving geographical networks show both preferential attachment and small-world characteristics. The strength of preferential attachment decreases over time, while the network evolves into an oligopolistic control structure with small-world characteristics. The transferability of the research technology in cognitive terms—that is, the transition from “mode-1” to “mode-2” research—is suggested as the crucial difference in explaining the different rates of diffusion between siRNA and NCSC.
A system for compound adverbs MWEs extraction in Hindi

Adverbs are one of the main aspects of grammar in almost all the languages as they play a vital role in formation of a sentence. The identification and extraction of Multi Word Expressions (MWEs) in Hindi is done by various researchers but this new category of adverbs in Hindi MWEs is not known so far. A lot of research is going on adverbs in many other languages but in Hindi MWEs, adverbs have not gained proper place. There are various combinations of adverbs which could be used as Multi words. The main focus of this paper is to extract those Adverbs combination or compound adverbs which act as MWEs in Hindi text. Further classification of these adverb is also proposed on the basis of type of adverbs. The system is developed and tested with the dataset obtained from CFILT Hindi corpus. Results are evaluated using the evaluation measures precision, recall and F-measure.
Rate-distortion classification for self-tuning IoT networks

The Internet of Things, like many future wireless sensor networks, is expected to follow a software defined paradigm, where protocol parameters and behaviors will be dynamically tuned as a function of the signal statistics. New protocols will be then injected as a software when certain events occur. For instance, new data compressors could be (re)programmed on-the-fly as the monitored signal type or its statistical properties change. In this paper, a lossy compression scenario is considered, where the application tolerates some distortion of the gathered signal in return for improved energy efficiency. To reap the full benefits of this paradigm, an automatic sensor profiling approach is discussed, where the signal class, and in particular the corresponding rate-distortion curve, is automatically assessed using machine learning tools (namely, support vector machines and neural networks). This curve can be reliably estimated on-the-fly through the computation of a small number (from ten to twenty) of statistical features on time windows of a few hundreds samples.
Pharmaco-informatics: Modeling of human CDCP2 homolog structure and its docking study with flavopiridol analog

In order to search promising Cell Division Control Protein 2 (CDCP2) homolog inhibitors, homology modeling and docking techniques were applied. Since there is no reported CDCP2 crystal structural data, three dimensional structure of CDCP2 was constructed based on the crystal structure of cell division protein kinase 2 (PDB: 1H1R). Its 3-D structure was evaluated and validated using PROCHECK comprising 90.5% amino acid residues in favored region of Ramachandran plot. The predicted structure was of good quality as overall quality factor was 84.429 and 94.30% residues having 3D-1D score > 0.2. Further predicted structure of CDCP2 was refined and flexible docking was performed. Results indicate that among fifteen flavopiridol analogs, CID 5329721 was found as best interacting with CDCP2 having lowest dope score of -10.18. Further the generation of different derivatives can be made by the modification in the moieties of CID 5329721. These derivatives can be used to develop effective drugs against cancer.
Efficient computation of histograms on the GPU

Recently, several image processing algorithms have been ported on the GPU because of its fast increase of performance. Some of these algorithms need to compute a histogram, but the computation of the histogram is not well supported on the GPU because of its architecture. To cope with this problem, we present a new method for the efficient computation of histograms on the GPU. Therefore, we use a fragment shader, occlusion queries and the depth-buffer. The gray level values of the image of which the histogram will be calculated are taken as depth values. The depth-buffer in combination with occlusion queries can efficiently be used to count the number of gray values that fall into each histogram bin. We will show in our experiments that our method is up to ten times faster than an existing technique for the GPU-based computation of histograms. For a small number of bins in the histogram or for large images, our method is even faster than a CPU implementation.
Genetic Based Prioritization Regression Testing

When previously developed software is modified, there are chances that there may be lot of errors, which may lead to failure of the software system. The cost required to test every module of the system will be very high and even after that, testing every part of the system is not possible as there is limited time given to this phase. Regression testing is very common these days as it helps in testing the modified and changed part, also reducing time and cost. The number of test cases is reduced making use of the fitness function of genetic algorithm. Also the test cases are assigned priorities, which help in testing the more critical part on priority. A dynamic approach can be used to achieve the same.
Effects of Fit, Consumer Involvement and the Number of Celebrities on Consumer Behavior in an Emerging Market

ABSTRACT By using the tri-process model (consensus, elaboration likelihood, and fit), the authors conduct a pilot study followed by an experiment to examine the effects of consumer involvement, fit, and the number of celebrities on consumer behavior in a series of brand endorsement ads. The robustness of the fit results is confirmed across two communication modalities: TV and internet. Specifically, more celebrities are not always better. Fit matters whether the product/brand endorsement is by two or four celebrities. Fit among multiple celebrities remains important for high involvement target audience, but the number of celebrities (consensus effect) is more important for the low involvement target audience. The results of this research suggest that both high and low involvement audience can be targeted at the same time depending on the level of fit and the number of celebrities used in a brand endorsement.
Psychophysical properties of odor processing can be quantitatively described by relative action potential latency patterns in mitral and tufted cells

Electrophysiological and population imaging data in rodents show that olfactory bulb (OB) activity is profoundly modulated by the odor sampling process while behavioral experiments indicate that odor discrimination can occur within a single sniff. This paper addresses the question of whether action potential (AP) latencies occurring across the mitral and tufted cell (M/TC) population within an individual sampling cycle could account for the psychophysical properties of odor processing. To determine this we created an OB model (50,000 M/TCs) exhibiting hallmarks of published in vivo properties and used a template-matching algorithm to assess stimulus separation. Such an AP latency-based scheme showed high reproducibility and sensitivity such that odor stimuli could be reliably separated independent of concentration. As in behavioral experiments we found that very dissimilar odors (“A vs. B”) were accurately and rapidly discerned while very similar odors (binary mixtures, 0.4A/0.6B vs. 0.6A/0.4B) required up to 90 ms longer. As in lesion studies we find that AP latency-based representation is rather insensitive to disruption of large regions of the OB. The AP latency-based scheme described here, therefore, captures both temporal and psychophysical properties of olfactory processing and suggests that the onset patterns of M/TC activity in the OB represent stimulus specific features of olfactory stimuli.
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction

The ability to accurately predict traffic speed in a large and heterogeneous road network has many useful applications, such as route guidance and congestion avoidance. In principle, data-driven methods, such as support vector regression (SVR), can predict traffic with high accuracy because traffic tends to exhibit regular patterns over time. However, in practice, the prediction performance can significantly vary across the network and during different time periods. Insight into those spatiotemporal trends can improve the performance of intelligent transportation systems. Traditional prediction error measures, such as the mean absolute percentage error, provide information about the individual links in the network but do not capture global trends. We propose unsupervised learning methods, such as k-means clustering, principal component analysis, and self-organizing maps, to mine spatiotemporal performance trends at the network level and for individual links. We perform prediction for a large interconnected road network and for multiple prediction horizons with an SVR-based algorithm. We show the effectiveness of the proposed performance analysis methods by applying them to the prediction data of the SVR.
Confirmatory Factor Analysis of the WAIS-IV and WMS-IV in Older Adults

New editions of the Wechsler Adult Intelligence and Memory scales are now available. Yet, given the significant changes in these new releases and the skepticism that has met them, independent evidence on their psychometric properties is much needed but currently lacking. We administered the WAIS-IV and the Older Adult version of the WMS-IV to 145 older adults. We examined how closely our data matched the normative sample by comparing our scaled scores with those of the publisher and by evaluating interrelations among subtests using confirmatory factor analysis. Not surprisingly, scaled scores from our sample were somewhat higher than those from the normative sample on some tests. Factor analysis on our sample provided support for a higher-order model of the WAIS-IV/WMS-IV Older Adults battery combined. In addition, allowing some subtests to load on more than one factor significantly improved model fit. The best fitting model for our sample was also the best for the normative sample. Overall, the data suggest that the factor analysis models generated from the normative samples for the new WAIS-IV and WMS-IV are reliable.
Physiological Motion Compensation in Robotized Surgery using Force Feedback Control

This paper presents a force feedback control scheme for the compensation of periodic motions of organs induced by respiration or heartbeat in minimally invasive robotized surgery. It applies surgical tasks involving a contact between an instrument and a moving organ. It is well known that conventional force control allows for compensating the motion of the environment thanks to its natural disturbance rejection capabilities. However, as experimentally evidenced in the first part of this paper, bandwidth limitations do not allow for exact disturbance rejection. Therefore, in addition to a conventional inner force feedback control loop, an outer control loop based on iterative learning control (ILC) is implemented. It is aimed at compensating the physiological motions, based on the hypothesis that the disturbance is periodic. The transient performances of this ILC controller are improved thanks to a wavelet transform-based approach and conclusive experiments are finally presented, evidencing that the tracking performance under cyclic disturbances is significantly improved.