Miracle-dz/UniFAR-FTUs huggingface dataset:
Advanced soft-error-rate (SER) estimation with striking-time and multi-cycle effects

Soft error rate (SER) has become a critical reliability issue for CMOS designs due to continuous technology scaling. However, the striking-time and multi-cycle effects have not been properly considered in SER for advanced CMOS designs. Therefore, in this paper, the striking-time and multi-cycle effects are formulated into the problem of SER estimation, and then a SER analysis framework is proposed, accordingly. Experimental results show that SERs on the benchmark circuits are seriously underestimated when ignoring both effects. Moreover, SERs increase more on those high-performance or low-power CMOS designs. New treatment to SER needs to be explored in the future.
Competitive Advantage and Enterprise Resource Planning Systems: Some Conflicts in the Value-Chain

Whether an organization gains a competitive advantage (CA) from an enterprise resource planning (ERP) system is a topic of much debate in the literature. However, when we differentiate between the stakeholders in the ERP value-chain and their relative CA positions, the literature is curiously silent. We depict the ERP value-chain as having three stakeholders: an ERP vendor, an ERP partner or re-seller, and the ERP end-users or client. The paper suggests how the interests these stakeholders have in maintaining or improving their CA in their own markets is complex and in some circumstances may hinder the development of future ERPs. This paper formulates a set of propositions to address this gap in our knowledge. We close the paper by proposing eight scenarios and suggesting how these and our propositions may be explored empirically.
Early embryonic expression of ion channels and pumps in chick and Xenopus development

An extensive body of literature implicates endogenous ion currents and standing voltage potential differences in the control of events during embryonic morphogenesis. Although the expression of ion channel and pump genes, which are responsible for ion flux, has been investigated in detail in nervous tissues, little data are available on the distribution and function of specific channels and pumps in early embryogenesis. To provide a necessary basis for the molecular understanding of the role of ion flux in development, we surveyed the expression of ion channel and pump mRNAs, as well as other genes that help to regulate membrane potential. Analysis in two species, chick and Xenopus, shows that several ion channel and pump mRNAs are present in specific and dynamic expression patterns in early embryos, well before the appearance of neurons. Examination of the distribution of maternal mRNAs reveals complex spatiotemporal subcellular localization patterns of transcripts in early blastomeres in Xenopus. Taken together, these data are consistent with an important role for ion flux in early embryonic morphogenesis; this survey characterizes candidate genes and provides information on likely embryonic contexts for their function, setting the stage for functional studies of the morphogenetic roles of ion transport. © 2002 Wiley‐Liss, Inc.
Waves: exploring idiographic design for live performance

We explore whether idiographic design, a category of interaction design that focuses upon responding to detailed personal accounts of individuals' practices, can be used to support interaction designers in responding to the complex and multifaceted design space posed by live performance. We describe and reflect upon the application of an idiographic approach during the design of Waves, an interface for live VJ performance. This approach involved a close and dialogical engagement with the practices and experiences of an individual live performer, during a series of semi-structured interviews and then the discussion and iteration of an evolving prototypical design. Reflection on the experience of applying this approach highlights idiographic design as a practical means to support interaction designers in proposing innovative designs that respond sensitively to the kinds of subtle and complex issues that underpin people's lived and felt experiences of live performance and, potentially, many other domains.
LTE system level performance in the presence of CQI feedback uplink delay and mobility

Long Term Evolution (LTE) is a promising technology for the wireless and mobile communication systems and is being commercially launched in various countries of the world. The Third Generation of Partnership Project (3GPP), through design and optimisation of new radio access techniques, is further developing the future LTE-Advanced technology to remain on the forefront of wireless technologies. However, it is still challenging in LTE to provide the desired quality of service to the users particularly in the presence of high mobility and uplink feedback delay. In this paper, the impact of Channel Quality Indicator (CQI) uplink feedback delay on the overall network performance under different scheduling algorithms and mobility patterns is discussed. We study average user equipment (UE) throughput, average cell-edge UE throughput and average cell throughput under mobility and conclude that for an efficient LTE-Advanced scheduling algorithm, UE speed and CQI feedback delay must be taken into account.
Survey on Link Prediction and Page Ranking In Blogs S

This paper presents a study of the various aspects of link prediction and page ranking in blogs. Social networks have taken on a new eminence from the prospect of the analysis of social networks, which is a recent area of research which grew out of the social sciences as well as the exact sciences, especially with the computing capacity for mathematical calculations and even modelling which was previously impossible. An essential element of social media, particularly blogs, is the hyperlink graph that connects various pieces of content. Link prediction has many applications, including recommending new items in online networks (e.g., products in eBay and Amazon, and friends in Face book), monitoring and preventing criminal activities in a criminal network, predicting the next web page users will visit, and complementing missing links in automatic web data crawlers. Page Rank is the technique used by Google to determine importance of page on the web. It considers all incoming links to a page as votes for Page Rank. Our findings provide an overview of social relations and we address the problem of page ranking and link prediction in networked data, which appears in many applications such as network analysis or recommended systems. Keywordsweb log, social networks analysis, readership, link prediction, Page ranking.
Design considerations for COSA2

In this article, we present the architectural and algorithmic details for a COgnitive System Architecture that uses a Centralized Ontology with Specific Algorithms (COSA2). COSA2 is a layered intelligent agent framework on the basis of the modified Rasmussen model of human performance. It encompasses integrated algorithmic support for goal-driven situation interpretation, dynamic planning and plan execution, as well as provisions for reactive behavior. A unique feature is the claim for an expressive, centralized ontology representation, used by all functions to ensure consistency. The framework is being applied to different problems in the domain of uninhabited aerial vehicles. The modeling and processing details described in this article are illustrated by a simplified example from the intelligent onboard systems management domain.
Achieving optimum network throughput and service differentiation for IEEE 802.11e EDCA networks

A key open question in IEEE 802.11e networks with enhanced distributed channel access (EDCA) is how to properly tune the backoff parameters to optimize the network throughput performance under a certain differentiation requirement. To tackle this problem, a new analytical model for IEEE 802.11e EDCA networks is proposed in this paper, based on which the maximum network throughput is derived as an explicit function of the holding times of head-of-line (HOL) packets in successful transmission and collision states. The optimal initial backoff window sizes to achieve the maximum network throughput under pre-specified target node-throughput ratios are also obtained, and verified by simulation results.
Self-perception of women after mastectomy as an ego defence mechanism. Comparison with a group of healthy women

Aim of the study Analysis of changes in self-perception in post-mastectomy patients and its comparison with self-perception of healthy women. Material and methods The subjects of this study were 50 women. The main group was post-mastectomy patients involved in the meetings of the Amazons Club (25 women). The reference group consisted of 25 healthy women. The method used in the study was the ACL (Adjective Check List) test, identifying 37 dimensions of self-image. Oncological patients completed a test twice (for current and pre-cancer self-image), and healthy women once – for current self. Both groups were selected similarly in respect of education level for the purpose of ensuring a similar level of insight. Results Retrospective self-image and the current one in the Amazon women group were highly convergent. Existing differences include a reduced need for achievement and dominance, and a lower level of self-confidence. However, the comparison of current self-images in both groups showed a large discrepancy of the results. The Amazon women assess themselves in a much more negative way. Also, their self-image is self-contradictory in certain characteristics. Conclusions Mastectomy is a difficult experience requiring one to re-adapt and to accept oneself thereafter. The way of thinking about oneself is a defence mechanism helping to cope. The work with patients programmes must, therefore, focus on identifying their emotions and thoughts, especially on those they do not want to accept because of the perceived pressure from the environment to effectively and quickly deal with this difficult situation. The increasing acceptance of personal limitations may help the affected women to adjust psychologically faster and easier.
Exploring the Importance of Modification Relation for Emotional Keywords Annotation and Emotion Types Recognition

In this study, we make a scheme to explore the importance of modification relation for the emotional keywords annotation and emotion types recognition. We extract three modification features which are degree words, negative words and conjunctions from the Chinese emotion corpus named Ren-CECps. Beside word and part-of- speech, three modification relations are adopted as feature in this study. We have carried out eight experiments with different feature sets for emotional keywords annotation and emotion types recognition in sentence level. Eight basic emotion types have been selected and Conditional Random Fields have been employed as the algorithm. In the part of evaluation, we demonstrate the importance of the modification features and our experiment results show the effective- ness of the modification features for improving the performance of emotional keywords annotation and emotion types recognition.
An experimental study of an opportunistic index

The size of electronic data is currently growing at a faster rate than computer memory and disk storage capacities. For this reason compression appears always as an attractive choice, if not mandatory. However space overhead is not the only resource to be optimized when managing large data collections; in fact data turn out to be useful only when properly indexed to support search operations that efficiently extract the user-requested information. Approaches to combine compression and indexing techniques are nowadays receiving more and more attention. A first step towards the design of a compressed full-text index achieving guaranteed performance in the worst case has been recently done in [10]. This index combines the compression algorithm proposed by Burrows and Wheeler [5] with the suffix array data structure [16]. The index is opportunistic in that it takes advantage of the compressibility of the input data by decreasing the space occupancy at no significant asymptotic slowdown in the query performance. In this paper we present an implementation of this index and perform an extensive set of experiments on various text collections. The experiments show that our index is compact (its space occupancy is close to the one achieved by the best known compressors), it is fast in counting the number of pattern occurrences, and the cost of their retrieval is reasonable when they are few (i.e., in case of a selective query). In addition, our experiments show that the FM-index is flexible in that it is possible to trade space occupancy for search time by choosing the amount of auxiliary information stored into it.
An Asymmetrical Probabilistic Estimation using Structural Matching for Outdoor Localization ⋆

Location-Based Services (LBSs) for mobile communication are widely used in which location estimation is the prerequisite. We propose an Asymmetrical Probabilistic Estimation (APE) method based on the location fingerprinting. In proposed method, the signal intensity variations for each cell in each fingerprint are modeled by Gaussian distributions with asymmetrical probability density function due to the nonlinear relationship of the signal space and physical space. Moreover, to enhance the poisoning accuracy and decrease time-consuming, the candidate fingerprints for location estimation are filtered by proposed Structural Matching (SM) algorithm. We have implemented the localization method based on a real cellular network in an urban area. The results indicate that our proposed estimation method achieve higher positioning accuracy.
A Permanent-Magnet Hybrid Brushless Integrated Starter–Generator for Hybrid Electric Vehicles

A new permanent-magnet (PM) hybrid brushless (PMHB) machine is proposed and implemented as the integrated starter-generator (ISG) for hybrid electric vehicles (HEVs). It has the advantages of higher torque density than other PMHB machines and much wider speed range than other PM brushless machines. The key is to tune its dc-field winding current in such a way that three major modes of ISG system operation for HEVs, namely, engine cranking, battery charging, and torque boosting, can be achieved effectively. The finite-element method is employed to simulate its steady-state and dynamic performances. Finally, a 2-kW prototype is constructed and tested to experimentally verify the simulation results and the validity of the proposed ISG system.
Robust Nonrigid Point Set Registration Using Graph-Laplacian Regularization

We present a robust algorithm that registers one point set to another for nonrigid case. We formulate the problem as a Gaussian mixture model (GMM) density estimation by considering one of the point sets as the GMM centroids and the other as the data points generated by GMM. We displace the centroids and make them register to the data by maximizing the likelihood. To facilitate the process, we introduce a set of weights which provide the proximity information among pairs of points of both point sets and iteratively update the displacement and weights in alternating steps. We propose a priority based combination to update the proximity weights, which leverages the richness of Shape Context (SC). In the displacement updation step, we propose a graph-Laplacian regularization which helps in preserving the intrinsic geometry of the point set to be displaced. We also introduce a fast algorithm that reduces the computation complexity significantly. We apply our method on publicly available datasets. Our results validate the robustness of our approach by outperforming current state-of-the-art methods.
A CARRIER STATE OF MUMPS VIRUS IN HUMAN CONJUNCTIVA CELLS

Mumps virus produced a carrier state in human conjunctiva cells that was maintained for more than 100 subcultures over a period of 3 years. Antiserum in the medium was not required. The virus had little apparent effect on the cells which grew at a rate similar to uninfected control cells. Mumps virus was regularly found in the culture medium at levels about 0.9 log higher than the cell-associated virus. When first tested after 30 subcultures, the virus was found to have lost its cytopathogenicity for cells ordinarily susceptible to mumps virus, but was identifiable as mumps virus by neutralization with specific antiserum. Use of fluorescein-labeled antiserum revealed that 80 to 95 per cent of cells in the carrier cultures contained mumps virus antigen. The antigen was concentrated in a few sharply circumscribed, discrete masses in the cell cytoplasm rather than in many granules throughout the cytoplasm as is characteristic of cell infection by cytopathogenic mumps virus. The carrier cultures were resistant to the destructive effect of a cytopathogenic line of mumps virus, but showed little resistance to the cytopathogenic effect of vesicular stomatitis, Sendai, or Newcastle disease viruses.
Protocol for an experimental study design to evaluate computer-enabled intervention to prevent and manage metabolic syndrome

Introduction The rising prevalence of overweight and obesity has a direct correlation with increasing prevalence of hypertension, dyslipidaemia, type 2 diabetes, metabolic syndrome (MetS) and cardiovascular diseases. Most of the previous studies have been cross-sectional in nature and have looked at the prevalence of metabolic syndrome. Despite the clinical and public health importance of this phenomenon, not enough work has been carried out so far to study and remedy this situation. The objectives of the proposed study is to develop an innovative user-centred informatics platform that will facilitate delivery of a multifactorial intervention after taking into account user sociodemographics, health behaviour, prior disease state and knowledge attitudes and practices. Objective The objective of the proposed study is to develop an innovative user-centred informatics platform that will facilitate delivery of a multifactorial intervention after taking into account users’ sociodemographics, health behaviour, prior disease state and knowledge, attitudes and behaviour. Methods and analysis A randomised two-group repeated-measures clinical trial design will be used, on 750 subjects from urban, rural and slum areas, in an Indian setting. The study participants will be randomly assigned to either the intervention (computer-based MetS Program, CBMP) or control (printed educational material, PEM) group. Both the groups will undergo screening, learning and evaluation assessments at the time of the visit and at follow-up visits 30, 60 and 90 days after the first visit. Outcomes The outcomes expected in the intervention group include improvement in Mets-related knowledge, adherence to self-care practices, better quality of life and increased satisfaction with medical care. Ethics and dissemination The study has been approved by the Institutional Review Board of Asian Institute of Public Health (IRB#621). The proposed study will also help us assess the usefulness and challenges of technology to disseminate health education among diverse users. Findings will be disseminated through peer-reviewed publications and national and international conference presentations to various stakeholders and local community health leaders. The ClinicalTrials.gov Identifier is NCT01713465.
Global Asymptotic Tracking for Gear Transmission Servo Systems with Differentiable Backlash Nonlinearity

In this paper, the output tracking problem of gear transmission servo (GTS) systems with backlash nonlinearity is studied. A new continuously backlash description-"differentiable dead zone model" is established to overcome the no differentiable property of backlash nonlinearity. First, the state space description of GTS systems with backlash nonlinearity is presented with the new dead zone model and transformed to a linear system by state feedback linearization technique. Then a nonlinear state feedback control algorithm is developed for the transformed linear system, which is proved can track globally asymptotically the smoothly desired trajectory and the limit cycles that appear due to backlash can be avoided. Simulation results validate the effectiveness of the proposed controller and the new dead zone model. The technique proposed in this paper makes backlash nonlinearity control problem be a general one which is not only to avoid the establishment of a complex multi-model switching system and inverse model compensation, but also easy to implement and expand in the engineering practice.
Consecutive Ones Property and Spectral Ordering

A 0-1 matrix where in each column the 1s occur consecutively is said to have the consecutive ones property. This property and its approximations are important in a variety of applications, e.g., in DNA analysis and paleontology. Checking whether the matrix rows can be permuted so that this property holds can be done in polynomial time. However, an exact solution rarely exists in applications. Thus, methods that produce good approximations with a minimal number of 0s between 1s in the columns are needed. The spectral ordering method gives a solution to the consecutive ones problem and has empirically been shown to work well in other cases too. This paper constructs a theoretical basis for the connection between the consecutive ones property and spectral ordering. We represent the approximation problem as a problem of minimizing a certain matrix norm. We show how the spectral ordering method affects this norm and show that the method is optimal within a class of algorithms. We analyze also popular normalization schemes for spectral ordering and give our recommendation on their use for the C1P problem. We use these theoretical results to explain the experimental performance of different approximate methods and their differences.
Mining spatially cohesive itemsets in protein molecular structures

In this paper we present a cohesive structural itemset miner aiming to discover interesting patterns in a set of data objects within a multidimensional spatial structure by combining the cohesion and the support of the pattern. The usefulness of this algorithm is demonstrated by applying it to find interesting patterns of amino acids in spatial proximity within a set of proteins based on their atomic coordinates in the protein molecular structure. The experiments show that several patterns found by the cohesive structural itemset miner contain amino acids that frequently co-occur in the spatial structure, even if they are distant in the primary protein sequence and only brought together by protein folding. Further various indications were found that some of the discovered patterns seem to represent common underlying support structures within the proteins.
Piccett: Protocol-independent classification of corrupted error-tolerant traffic

Bit errors regularly occur in wireless communications. While many media streaming codecs in principle provide bit error tolerance and resilience, packet-based communication typically drops packets that are not transmitted perfectly. We present PICCETT, a method to heuristically identify which connections corrupted packets belong to, and to assign them to the correct applications instead of dropping them. PICCETT is a receiver-side classifier that requires no support from the sender or network, and no information which communication protocols are used. We show that PICCETT can assign virtually all packets to the correct connections at bit error rates up to 7-10%, and prevents misassignments even during error bursts. PICCETT's classification algorithm needs no prior offline training and both trains and classifies fast enough to easily keep up with IEEE 802.11 communication speeds.