Miracle-dz/UniFAR-FTUs huggingface dataset:
Brand Communication In Twitter - A Case Study On Adidas

In recent years, communication in public social media increasingly affected enterprises. Internet users began to share information about products, brands, and companies. Research currently focuses on investigating this form of communication by using quantitative methods in order to get a better understanding of it and of its relevance for companies and society. However, little is known about how enterprises themselves spread information in social media and how stakeholders talk about brands and products. In our work, we investigate communication genres directed from stakeholder-to-stakeholder, from business-to-stakeholder, and from stakeholder-to-business. By doing this, we were able to broadly analyze the content of communication in social media. In our research, we focus on the company adidas, an international manufacturer of sports clothes. We concentrate on the awareness aspect and adapted a theoretical model in order to evaluate company-related communication in Twitter. Our case study includes 289,513 tweets which were collected on 60 consecutive days. In order to identify genres and to answer the research questions, we manually analyzed 500 randomly chosen tweets as well as all those tweets published by official corporate accounts. We come to the conclusion that communication in social media is indeed of high importance for adidas. Furthermore, we show that adidas enters the communication in Twitter strategically to increase the awareness of their products.
Poisson Mixture Regression Models for Heart Disease Prediction

Early heart disease control can be achieved by high disease prediction and diagnosis efficiency. This paper focuses on the use of model based clustering techniques to predict and diagnose heart disease via Poisson mixture regression models. Analysis and application of Poisson mixture regression models is here addressed under two different classes: standard and concomitant variable mixture regression models. Results show that a two-component concomitant variable Poisson mixture regression model predicts heart disease better than both the standard Poisson mixture regression model and the ordinary general linear Poisson regression model due to its low Bayesian Information Criteria value. Furthermore, a Zero Inflated Poisson Mixture Regression model turned out to be the best model for heart prediction over all models as it both clusters individuals into high or low risk category and predicts rate to heart disease componentwise given clusters available. It is deduced that heart disease prediction can be effectively done by identifying the major risks componentwise using Poisson mixture regression model.
Genetic Relatedness of High-Level Aminoglycoside-Resistant Enterococci Isolated from Poultry Carcasses

Abstract Approximately 46% (75/162) or poultry enterococci collected between 1999 and 2000 exhibited high-level resistance to gentamicin (minimum inhibitory concentration [MIC] ≥ 500 μg/ml), kanamycin (MIC ≥ 500 μg/ml), or streptomycin (MIC ≥ 1000 μg/ml). Forty-one percent of the isolates were resistant to kanamycin (n = 67), whereas 23% and 19% were resistant to gentamicin (n = 37) and streptomycin (n = 31), respectively. The predominant species identified was Enterococcus faecium (n = 105), followed by Enterococcus faecalis (n = 40) and Enterococcus durans (n = 8). Using polymerase chain reaction, the isolates were examined for the presence of 10 aminoglycoside resistance genes [ant(6)-Ia, ant(9)-Ia, ant(4′)-Ia, aph(3′)-IIIa, aph(2″)-Ib, aph(2″)-Ic, aph(2″)-Id, aac(6′)-Ie-aph(2″)-Ia, and aac(6′)-Ii]. Five aminoglycoside resistance genes were detected, most frequently aac(6′)-Ii and ant(6)-Ia from E. faecium. Seven E. faecalis isolates resistant to gentamicin, kanamycin, or streptomycin were negative for all genes tested, indicating that additional resistance genes may exist. Phylogenetic analysis revealed that the isolates were genetically different with little clonality. These data indicate that enterococci from poultry are diverse and contain potentially unidentified aminoglycoside resistance genes.
A Dynamically Adjusting Gracefully Degrading Link-Level Fault-Tolerant Mechanism for NoCs

The rapid scaling of silicon technology has enabled massive transistor integration densities. Nanometer feature sizes, however, are marred by increasing variability and susceptibility to wear-out. Billion-transistor designs, such as chip multiprocessors (CMPs), are especially vulnerable to defects. CMPs rely on a network-on-chip for all their communication needs. A single link failure within this on-chip fabric can impede, halt, or even deadlock, intertile communication, which can render the entire chip multiprocessor useless. In this paper, we present a technique capable of handling very large numbers of permanent wire failures that occur in parallel links either at manufacture-time or at runtime (dynamically). As opposed to marking an entire parallel link as faulty, whenever some wires fail, the proposed methodology employs these partially-faulty links (PFLs) to continue the transfer of information-albeit at a gracefully degraded mode-in order to maintain network connectivity. Furthermore, the presented technique can designate PFLs as fully-faulty when several wires fail, by utilizing appropriate routing algorithms that bypass nonoperational links, while still maintaining load-balance in the vicinity of PFLs. The proposed scheme employs architectural support within the on-chip routers to detect link failures and enable reconfiguration at the granularity of individual wires. Hardware synthesis confirms the low-cost nature of the proposed architecture, and full-system simulations using both synthetic network traffic and real workloads demonstrate its efficacy.
Occupational characteristics and cognitive aging in the Glostrup 1914 Cohort.

OBJECTIVES The effect of occupational characteristics on cognitive change over 20 years was examined. METHOD Occupational characteristics--intellectual challenge, physical hazards, and psychological demands--were assessed in the Glostrup 1914 Cohort when aged 60 years, and cognitive ability was assessed by 4 cognitive ability tests at ages 60, 70, and 80. RESULTS Individuals in more intellectually challenging occupations had higher cognitive ability (r = .27-.38, p < .01), whereas those in more physically hazardous occupations performed more poorly (r = -.12 and -.13 at ages 50 and 60, p < .05). In growth curve models, intellectual challenge continued to be associated with cognitive ability, controlling for sex, education, and social class. However, the association was reversed after accounting for cognitive ability at age 50; of 2 individuals with the same baseline level of cognitive ability, the one in the more intellectually challenging occupation had lower subsequent cognitive ability. The association of physical hazards with lower cognitive ability level did not remain after adjustment for the basic demographics, and none of the occupational characteristics were associated with cognitive change between age 60 and 80. DISCUSSION Notwithstanding the reversal of the effect of occupational intellectual challenge on cognitive ability level after accounting for pre-exiting cognitive differences, there was no evidence for long-term effects of occupational characteristics on cognitive change in old age.
The effect of ambiguity on loss contingency reporting judgments

This paper reports the results of an experiment that examines the influenceof uncertaintyabouttheprobabilitythatafuturelosswilloccur ("ambiguity") on auditors' and financial statement users' judgments about appropriate reference to contingent losses in audit reports. Application of Einhorn and Hogarth's (1985) ambiguity model suggests that, with respect to losses of low (high) probability, both auditors and users will act as if an ambiguous probability of loss is higher (lower) than a precise probability of the same magnitude, thus demonstrating a conservative (unconservative) reaction to ambiguity. In addition, since auditors may jeopardize client relations when they unnecessarily make audit report reference to contingent losses, auditors may react less conservatively to ambiguity than do users. The results of the experiment support these predictions.
A time-interleaved flash-SAR architecture for high speed A/D conversion

A time-interleaved flash-SAR ADC architecture has been suggested for high speed A/D conversion. Owing to the MSBs determined by the front end flash ADC, SAR ADC completes the A/D conversion in a reduced number of cycles. Time-interleaved SAR ADCs with a commonly shared low resolution flash ADC provide a new size and power efficient high speed ADC architecture. The proposed ADC structure has been verified by developing a behavioral model of a 6-bit 1.2GHS/s ADC. Circuit design considerations have also been discussed based on the sampling network mismatch between the flash and SAR ADCs.
On the production of differential object marking and wh -question formation in native and non-native Spanish

The present study explores the elicited production of differential object marking and subject-verb inversion in matrix and embedded wh- questions in Spanish among 16 English-speaking L2 learners and 17 Spanish-speaking immigrants serving as control baseline. Results from an elicited production task show high levels of variability among the L2 learners, crucially with differential object marking in animate and specific contexts and with obligatory inversion in embedded wh- questions. Furthermore, our data show overall more difficulty with inversion in embedded questions than with differential object marking, suggesting that structural complexity, frequency and transfer from English may cause a structure not on an interface level to present more difficulties for advanced L2 learners in this case. The results are discussed along the lines with previous research on vulnerable domains, and the role crosslinguistic influence, structural complexity and surface overlap in language development.
IMAGE DATA COMPRESSION WITH THE LAPLACIAN PYRAMID

Pixel to pixel correlations are first removed by subtracting a low-pass filtered copy of the image from the image itself. The result is a net data compression since the difference, or error, image has low variance, and the low-pass filtered image may be represented at reduced sample density. Further data compression is achieved by quantizing the difference image and repeating the encoding process for the low-pass filtered image.
Real-time GPU-based Analytic Minimization / Dynamic Programming Elastography

We have implemented Analytical Minimization/Dynamic programming (AM/DP) elastography on GPU (graphics processing unit) to compute real-time strain images. Real-time strain imaging has numerous applications e.g. in the detection of cancer tumors, ablation monitoring, etc. We have achieved a 27x-30x speedup over a CPU implementation. We show strain images of tissue mimicking phantom generated by the software running on GPU.
Label-based semi-supervised fuzzy co-clustering for document categoraization

Semi-supervised clustering uses a small amount of labeled data to aid and bias the clustering of unlabeled data. In this paper the use of labeled data at the initial state, as well as the use of the constraints generated from the labels during the clustering process is explored. We formulate the clustering process as a constrained optimization problem, and propose a novel semi-supervised fuzzy co-clustering algorithm which incorporated with a few category labels to handle large overlapping text corpus. Simulations on a few large benchmark datasets demonstrate the strength and potentials of this new approach in terms of accuracy, stability and efficiency with limited labels, compared with some existing label-based semi-supervised clustering algorithms.
Multiple virtual machine live migration in federated cloud systems

The idea of computing utility incarnated by the cloud paradigm is gaining a lot of success, both for entertainment and business applications. The consequent increasing demand of computing, storage and communication resources within data centers is fostering new forms of infrastructure sharing such as cloud federations, which can take advantage of virtualization technologies and, in particular, of multiple virtual machine live migration techniques. Such a scenario requires a quantitative characterization of the performance of the inter-data center network infrastructure underlying the cloud federation. In this paper we propose an analytical model useful to dimension network capacity in order to achieve some given performance level in a federate cloud, assuming some simple multiple virtual machine live migration strategies.
Telepresence across delayed networks: a combined prediction and compression approach

The remote nature of telepresence scenarios can be seen as a strongpoint and also as a weakness. Although it enables the remote control of robots in dangerous or inaccessible environments, it necessarily involves some kind of communication mechanism for the transmission of control signals. This communication mechanism necessarily involves adverse network effects such as delay. Three mechanisms aimed at improving the effects of network delay are presented in this paper: (1) Motion prediction to partially compensate for network delays, (2) Force prediction to learn a local force model, thereby reducing dependency on delayed force signals, and (3) Haptic data compression to reduce the required bandwidth of high frequency data. The utilised motion prediction scheme was shown to improve operator performance, but had no influence on operator immersion. The force prediction decreased the deviation between the delayed and the expected forces, thereby stabilising the control loop. The developed haptic data compression scheme reduced the number of packets sent across the network by 86%
A multi-modal intelligent system for biofeedback interactions

Biofeedback is an emerging technology being used as a legitimate medical technique for several medical issues such as heart problems, pain, stress, depression, among others. This paper introduces the Multi-Modal Intelligent System for Biofeedback Interactions (MMISBI), an interactive and intelligent biofeedback system using an interactive mirror to facilitate and enhance the user's awareness of various physiological functions using biomedical sensors in real-time. The system comprises different biofeedback sensors that collect physiological features; the system also provides intuitive, intelligent, and adaptive user interfaces that promote a natural communication between the user and the biofeedback system. The Ambient Intelligence (AmI) technology is incorporated in the system to provide means for biofeedback responses. The proposed conceptual system is been evaluated by 15 subjects and the results are very stimulating. Ninety percent (90%) of the subjects confirmed that the system is beneficial, deployable, and affordable for personal use. On the other hand, 30% of the subjects have indicated that privacy is the resisting issue for the wide deployment of the system.
Problems of Baptista's chaotic cryptosystems and countermeasures for enhancement of their overall performances

In 1998, M. S. Baptista proposed a chaotic cryptosystem, which has attracted much attention from the chaotic cryptography community: some of its modifications and also attacks have been reported in recent years. In [Phys. Lett. A 307 (2003) 22], we suggested a method to enhance the security of Baptista’s cryptosystem, which can successfully resist all proposed attacks. However, the enhanced Baptista’s cryptosystem has a nontrivial defect, which produces errors in the decrypted data with a generally small but nonzero probability, and the consequent error propagation exists. In this Letter, we analyze this defect and discuss how to rectify it. Additionally, this Letter discusses some new problems of Baptista’s cryptosystems and their corresponding countermeasures. It will be shown that Baptista’s chaotic cryptosystem can be effectively enhanced to achieve an acceptable overall performance in practice.
Of mice and (Viking?) men: phylogeography of British and Irish house mice

The west European subspecies of house mouse (Mus musculus domesticus) has gained much of its current widespread distribution through commensalism with humans. This means that the phylogeography of M. m. domesticus should reflect patterns of human movements. We studied restriction fragment length polymorphism (RFLP) and DNA sequence variations in mouse mitochondrial (mt) DNA throughout the British Isles (328 mice from 105 localities, including previously published data). There is a major mtDNA lineage revealed by both RFLP and sequence analyses, which is restricted to the northern and western peripheries of the British Isles, and also occurs in Norway. This distribution of the ‘Orkney’ lineage fits well with the sphere of influence of the Norwegian Vikings and was probably generated through inadvertent transport by them. To form viable populations, house mice would have required large human settlements such as the Norwegian Vikings founded. The other parts of the British Isles (essentially most of mainland Britain) are characterized by house mice with different mtDNA sequences, some of which are also found in Germany, and which probably reflect both Iron Age movements of people and mice and earlier development of large human settlements. MtDNA studies on house mice have the potential to reveal novel aspects of human history.
Association between Homocysteine and Bone Mineral Density according to Age and Sex in Healthy Adults

Background There are several studies about the relationship between serum homocysteine levels and bone mineral density (BMD), but the results are varied, and the studies are limited in Korea. In our study, the relationship between serum homocysteine levels and BMD by part according to age and sex is investigated. Methods From March 2012 to July 2015, the 3,337 healthy adults who took a medical examination were recruited. Subjects filled in the self-recording type questionnaire and physical examination, blood test, BMD of lumbar spine and femur were measured. After sorting by aging (≤49 year old, 50-59 year old, ≥60 year old) and sex, the results were adjusted with age and body mass index (BMI) and the relationship between serum homocysteine levels and BMD by lumbar spine and femur was analyzed by multiple regression analysis. Results As results of analysis, with the adjustment with age and BMI, all age groups of men had no significant relationship between log-converted serum homocysteine levels and BMD. In women aged under 50, there were significantly negative relationships at lumbar spine (β=-0.028, P=0.038), femur neck (β=-0.062, P=0.001), and total hip (β=-0.076, P<0.001), but there was no significant relationship in other age groups (50-59 year old and ≥60 year old). Conclusions As the serum homocysteine levels increased in women aged under 50, BMD of the lumbar spine and femur decreased, and correlations between homocysteine and BMD were different by sex and age.
System Evaluation on a Named Entity Corpus from Clinical Notes

This paper presents the evaluation of the dictionary look-up component of Mayo Clinics Information Extraction system. The component was tested on a corpus of 160 free-text clinical notes which were manually annotated with the named entity disease. This kind of clinical text presents many language challenges such as fragmented sentences and heavy use of abbreviations and acronyms. The dictionary used for this evaluation was a subset of SNOMED-CT with semantic types corresponding to diseases/disorders without any augmentation. The algorithm achieves an F-score of 0.56 for exact matches and F-scores of 0.76 and 0.62 for right and left-partial matches respectively. Machine learning techniques are currently under investigation to improve this task.
A Delay Test Architecture for TSV With Resistive Open Defects in 3-D Stacked Memories

The limits of technology scaling for smaller chip size, higher performance, and lower power consumption are being reached. For this reason, the memory semiconductor industry is searching for new technology. 3-D stacked memory using through-silicon via (TSV) has been considered as a promising solution for overcoming this challenge. However, to guarantee quality and yield for mass production of 3-D stacked memories, effective test techniques for TSV are required. In this paper, a new test architecture for testing TSVs in 3-D stacked memories is proposed. By comparing voltage changes generated due to resistive open defects with a reference voltage applied externally, the test circuit estimates delay across the TSV. This allows the possibility of a delay test with low-frequency test equipment. Experimental results demonstrate that the proposed test architecture can be effective in the testing of TSV with resistive open defects, and have lower area overhead and lower peak current consumption.
Object allocation in distributed databases and mobile computers

This paper makes two contributions. First, we introduce a model for evaluating the performance of data allocation and replication algorithms in distributed databases. The model is comprehensive in the sense that it accounts for I/O cost, for communication cost, and for limits on the minimum number of copies of the object (to ensure availability). The second contribution of this paper is the introduction and analysis of an algorithm for automatic dynamic allocation of replicas to processors. Using the new model, we compare the performance of the traditional read-one-write-all static allocation algorithm, to the performance of the dynamic allocation algorithm. As a result, we obtain the relationship between the communication cost and I/O cost for which static allocation is superior to dynamic allocation, and the relationships for which dynamic allocation is superior. <<ETX>>
Rethinking the Management of Information in the Strategic Monitoring of Public Policies by Agencies

The 2001 reform of the France basic law on financial legislation defines a new framework for the monitoring of public policies based on the evaluation of outputs and outcomes rather than resources allocations through a classical budgeting process. A new monitoring process is under design, based on the balanced scorecard method, aiming at achieving consistency between three levels. The reliability of these processes depends on the management of flows of strategic information. According to the double‐loop organizational learning theory, the single loop learning deals with the management of the policy by the agency and answers the question “Are things getting done right and delivering the expected outputs? ”. Double loop learning deals with the gap between outputs and outcomes and answers the question “Are we doing the right things? ”, implying the revision of the governing variables themselves. Informations flows and measurement systems are in those cases very different. The paper is based on a survey carried out within the French administration in 2001 on the management of public policies by agencies. Comparing the current perspectives with the state of the art, analyzing case studies, the paper draws the future directions for the management of information in the strategic management of public policies and agencies.