Miracle-dz/UniFAR-FTUs huggingface dataset:
Void induced thermal impedance in power semiconductor modules: some transient temperature effects

The operation of power semiconductor modules creates thermal stresses that grow voids in the solder die-attach layer. These voids reduce the ability of the die-attach solder layer to conduct heat from the silicon junction to the heat spreader. This results in increased thermal impedance. The effect of accelerated aging on solder bond voiding and on thermal transient behavior is investigated. Commercially packaged TO-247 style MOSFETs are power cycled, imaged, and thermally analyzed to generate a correlation between void percentage and thermal impedance.
USREDOTOČENA SVJESNOST – MINDFULNESS: PRIMJENA U DJECE I ADOLESCENATA

Pojam usredotočena svjesnost (engl. mindfulness) odnosi se na stanje svijesti s pažnjom usmjerenom prema vlastitim iskustvima (tjelesne senzacije, misli, osjećaji) ili prema okolini u sadašnjem trenutku sa stavom neprosuđivanja (1,2). Ova definicija naglašava tri glavna aspekta usredotočene svjesnosti: namjera, pozornost i stav neprosuđivanja, otvorenosti i prihvaćanja. Iako je usredotočena svjesnost prisutna u tradiciji meditacije religija Istoka i Zapada već više od 2500 godina, intervencije i terapije temeljene na usredotočenoj svjesnosti (mindfulness based therapy – MBT) uvedene su u suvremenu medicinsku primjenu tek krajem 1970-tih godina (2,3). John Kabat-Zinn je 1979. Soc. psihijat. , 43 (2015) 142 – 150 Pregled
Building an efficient, scalable, and trainable probability-and-rule-based part-of-speech tagger of high accuracy

This project is aimed to build an efficient, scalable, portable, and trainable part-of-speech tagger. Using 98% of Penn Treebank-3 as the training data, it builds a raw tagger, using Bayes’ theorem, a hidden Markov model, and the Viterbi algorithm. After that, a reinforcement machine learning algorithm and contextual transformation rules were applied to increase the tagger’s accuracy. The tagger’s final accuracy on the testing data is 96.51% and its speed is about 26,000 words per second on a computer with two-gigabyte random access memory and two 3.00 GHz Pentium duo processors. The tagger’s portability and trainability are proved by the taggermaker’s success in building a new tagger out of a corpus that is annotated with the tagset different from that of Penn Treebank. INDEX WORDS: Part-of-Speech, Tagging, Markov Model, The Viterbi Algorithm, The Baysian Theorem, Machine Learning, Contextual rules, Natural Language Processing BUILDING AN EFFICIENT, SCALABLE, AND TRAINABLE PROBABILITY-AND-RULEBASED PART-OF-SPEECH TAGGER OF HIGH ACCURACY
Dynamic Distribution of Chemoattractant Receptors in Living Cells During Chemotaxis and Persistent Stimulation

While the localization of chemoattractant receptors on randomly oriented cells has been previously studied by immunohistochemistry, the instantaneous distribution of receptors on living cells undergoing directed migration has not been determined. To do this, we replaced cAR1, the primary cAMP receptor of Dictyostelium, with a cAR1-green fluorescence protein fusion construct. We found that this chimeric protein is functionally indistinguishable from wild-type cAR1. By time-lapse imaging of single cells, we observed that the receptors remained evenly distributed on the cell surface and all of its projections during chemotaxis involving turns and reversals of polarity directed by repositioning of a chemoattractant-filled micropipet. Thus, cell polarization cannot result from a gradient-induced asymmetric distribution of chemoattractant receptors. Some newly extended pseudopods at migration fronts showed a transient drop in fluorescence signals, suggesting that the flow of receptors into these zones may slightly lag behind the protrusion process. Challenge with a uniform increase in chemoattractant, sufficient to cause a dramatic decrease in the affinity of surface binding sites and cell desensitization, also did not significantly alter the distribution profile. Hence, the induced reduction in binding activity and cellular sensitivity cannot be due to receptor relocalization. The chimeric receptors were able to “cap” rapidly during treatment with Con A, suggesting that they are mobile in the plane of the cell membrane. This capping was not influenced by pretreatment with chemoattractant.
Modeling of Height Spectrum and Radar Cross Section of Oil Slicks on Sea Surfaces

The influence of oil pollution over sea surfaces on the height spectrum of rough surfaces is studied. An oil slick covering the sea damps the capillarity waves of the surface height spectrum and reduces the root mean square slope of the surfaces. These modifications have an influence on the normalized radar cross section (NRCS) of contaminated seas. The bistatic NRCS of the contaminated sea surface is then persented by comparison with a clean sea: results from a benchmark numerical model are presented and compared with a new semi-empirical approach using asymptotic models, like the weighted curvature approximation.
Demosaicing method using the extended color total-variation regularization

Previously we presented a TV-based super-resolution sharpening-demosaicing method. Our previous method makes it possible to restore frequency components higher than the Nyquist frequency, and to interpolate color signals effectively while preserving their sharp color edges, without producing ringing artifacts along the edges. However, since our previous method applies the TV regularization separately to each primary color channel, as side effects it sometimes produces false color artifacts and/or zipper artifacts along sharp color edges. To remedy the drawback, in addition to the TV regularization of each primary color signal, we introduce the TV regularization of color difference signals such as G-R, and that of color sum signals such as G+R, into the TV-based super-resolution sharpening-demosaicing method. Near sharp color edges, correct interpolation provides the smallest TV norms of color difference signals or the smallest TV norms of color sum signals. Unlike our previous method, our new method jointly interpolates the three primary color channels. We compare demosaicing performance of our new method with the state-of-the-art demosaicing methods. In the evaluations, we consider a noise-free case and a noisy case. For both cases our new method achieves the best performance, and for the noisy case our new method considerably outperforms the state-of-the-art methods.
Variable Scaling for Time Series Prediction: Application to the ESTSP'07 and the NN3 Forecasting Competitions

In this paper, variable selection and variable scaling are used in order to select the best regressor for the problem of time series prediction. Direct prediction methodology is used instead of the classic recursive methodology. Least Squares Support Vector Machines (LS-SVM) and K-NN approximator are used in order to avoid local minimal in the training phase of the model. The global methodology is applied to the ESTSP'07 competition dataset and the dataset B of the NN3 Forecasting Competition.
L'influence de la fidélité à la marque et de la fidélité au programme relationnel sur l'attitude des clients (cas des banques)

L’objet de cette recherche est d’ameliorer la comprehension de la construction de la fidelite en fonction de son objet : a la marque et au programme relationnel, en etudiant leurs antecedents et leurs effets sur l’attitude. Les recherches sur l’efficacite des programmes de fidelite soulevent la question de savoir si ces programmes ameliorent la fidelite a la marque ou la fidelite au programme (Bolton et al., 2000 ; Meyer-Waarden, 2007 et 2012 et Bijmolt et al., 2010). L’etude de l’influence relative des deux facettes de la fidelite sur l’attitude se fait a partir de la preference, de l’intention et de la resistance des clients. La methodologie retenue commence par une etude de cas dans la phase exploratoire (entretiens avec les experts), se poursuit ensuite par une etude qualitative aupres des clients adherents a ces programmes. L’interaction entre la litterature et l’etude exploratoire a permis d’enrichir le modele conceptuel integral par des variables explicatives. Finalement, elle repose sur une etude quantitative realisee aupres d’un echantillon de clients adherents au programme de fidelite bancaire (153 en phase exploratoire et 284 en phase confirmatoire) via un access panel. La validation du modele par equations structurelles (SEM) met en evidence le role important de la fidelite a la marque dans le maintien de la relation client. Le poids de l’influence de la fidelite a la marque sur le bouche a oreille est superieur a celui de la fidelite au programme relationnel. De plus, elle a des effets positifs sur la part du portefeuille client ainsi que sur l’intention a la fidelite, a l’inverse de la fidelite au programme qui n’a pas d’effet sur ces deux variables.
Is the spatial distribution of brain lesions associated with closed-head injury in children predictive of subsequent development of posttraumatic stress disorder?

PURPOSE To determine whether there is an association between the spatial distributions of lesions detected at magnetic resonance (MR) imaging of the brain in children, adolescents, and young adults after closed-head injury (CHI) and development of the reexperiencing symptoms of posttraumatic stress disorder (PTSD). MATERIALS AND METHODS Data obtained in 94 subjects without a history of PTSD as determined by parental interview were analyzed. MR images were obtained 3 months after CHI. Lesions were manually delineated and registered to the Talairach coordinate system. Mann-Whitney analysis of lesion distribution and PTSD status at 1 year (again, as determined by parental interview) was performed, consisting of an analysis of lesion distribution versus the major symptoms of PTSD: reexperiencing, hyperarousal, and avoidance. RESULTS Of the 94 subjects, 41 met the PTSD reexperiencing criterion and nine met all three PTSD criteria. Subjects who met the reexperiencing criterion had fewer lesions in limbic system structures (eg, the cingulum) on the right than did subjects who did not meet this criterion (Mann-Whitney, P =.003). CONCLUSION Lesions induced by CHI in the limbic system on the right may inhibit subsequent manifestation of PTSD reexperiencing symptoms in children, adolescents, and young adults.
Initial and Long-Run Performance of Mining IPOs in Australia

This paper examines the initial and long-run performance of 130 Australian mining IPOs issued from 1979 to 1990. The results show an average underpricing of 107.18%, significantly higher than that previously documented for industrial firms. The time lapse between prospectus registration and listing, and the state of the market when the IPO is issued are the main explanatory variables for the observed underpricing. Contrary to the existing evidence, mining IPOs in Australia, on average, do not appear to significantly underperform the market in the long-run. The results show that delay in listing is significantly related to the long-run performance, with some evidence of a curvilinear relationship between underpricing and the one-year and two-year share returns.
The Impact of Networks and the Context of Reception on Asset Accumulation Strategies of Latino Newcomers in New Settlement Communities of the Midwest

The heartland of America is experiencing unprecedented demographic changes as more Latino newcomers move to rural communities. Our goal is to understand the factors that contribute to the integration and economic contributions of Latino newcomers to the Midwest, using a sustainable livelihood strategies model to focus especially on the roles of identity, acculturation, social capital, and context of reception. Several preliminary analyses presented in this paper will inform the development of a large-scale household survey of newcomers to examine their settlement patterns and asset accumulation strategies. These analyses are designed to identify factors that facilitate the integration of newcomers, focusing on the immigrants themselves and the resources that they bring to the integration process, using two approaches. The first uses 2000 Census data to explore the impact of acculturation, social capital, and an aspect of context of reception, community climate, on income generation. The second uses focus groups to engage men and women newcomers from communities in three regions of Missouri in an exploration of the context of reception
Single parents of children with chronic illness: an understudied phenomenon.

OBJECTIVE To examine the chronic illness literature and evaluate the impact on single parenting and children and adolescents with chronic illness. METHODS We conducted literature reviews of relevant research pertaining to single-parent families on PubMed, Medline, and PsychINFO and also surveyed pertinent book chapters and all of the articles from the Journal of Pediatric Psychology since 1987 for articles, specifically examining the potential associations of single (lone) parenting versus two-parent households on children's psychosocial functioning and the impact of the child's illness on caregiver functioning. RESULTS While the literature has examined and discussed the stressors associated with parenting a child with an illness, including the impact of illness on finances, family roles, and caregiver burden, few studies have examined single parents of children and adolescents with chronic illnesses and related stressors stemming from being a lone caregiver. CONCLUSIONS There is a dearth of studies examining the association between lone parenting and psychosocial functioning among children and adolescents with chronic illnesses. Specific questions necessitating future investigation are summarized and recommendations are made for future research in this important area of inquiry.
Just-in-time contextual advertising

Contextual Advertising is a type of Web advertising, which, given the URL of a Web page, aims to embed into the page (typically via JavaScript) the most relevant textual ads available. For static pages that are displayed repeatedly, the matching of ads can be based on prior analysis of their entire content; however, ads need to be matched also to new or dynamically created pages that cannot be processed ahead of time. Analyzing the entire body of such pages on-the-fly entails prohibitive communication and latency costs. To solve the three-horned dilemma of either low-relevance or high-latency or high-load, we propose to use text summarization techniques paired with external knowledge (exogenous to the page) to craft short page summaries in real time. Empirical evaluation proves that matching ads on the basis of such summaries does not sacrifice relevance, and is competitive with matching based on the entire page content. Specifically, we found that analyzing a carefully selected 5% fraction of the page text sacrifices only 1%-3% in ad relevance. Furthermore, our summaries are fully compatible with the standard JavaScript mechanisms used for ad placement: they can be produced at ad-display time by simple additions to the usual script, and they only add 500-600 bytes to the usual request.
A Fully Inkjet-Printed Wireless and Chipless Sensor for CO2 and Temperature Detection

A study on a low-cost wireless fully inkjet-printed chipless sensor on a flexible laminate with three different inks is presented. It is based on two split ring resonator 90° oriented between each other to allow for independent responses on two polarizations. A deposit of a polymer/single walled carbon nanotube composite ink is used to allow for the detection of CO2 as well as temperature. In this paper, it is shown that the inkjet printing of a polymer-based coating on top of the sensing/reactive deposit can significantly reduce the sensitivity to CO2, whereas the temperature sensitivity stays at same. Simulations and experimental results verify the repeatability of this topology.
A testing-based approach to ensure the safety of shared resource concurrent systems

The paper describes a framework for testing a class of safety-critical concurrent systems implemented using shared resource specifications. Shared resources contain declarative specifications of process interaction that can be used to derive, in a model-driven way, the most critical parts of a concurrent system. Here, we propose their use to build a state-based model that will help in testing a real implementation of the resource. The framework has been implemented using Erlang and QuickCheck and its source code is available. The paper also provides a novel parametric operational semantics for shared resources with scheduling policy annotations and a methodology to guide test-case generation from the shared resource specifications and a classification of common mistakes. We illustrate our framework by applying it to testing Java implementations of a prototypical automated shipping plant.
Genetics of proteome variation for QTL characterization: application to drought-stress responses in maize

The proteome is emerging as an important concept of the post-genome era. Powerful nucleic acid approaches (EST, DNA chips, etc.) are still limited because DNA sequences and mRNA levels are not sufficient to predict the structure, function, amount, and activity of the proteins in the cell. The proteome can now be subjected to large-scale analysis, owing to spectacular progress in the techniques of identification of proteins excised from two-dimensional (2-D) gels. In addition, computer-based analysis of 2-D gels makes it possible to quantify the protein spot intensities, which are commonly genetically variable. The loci controlling these variations may be mapped on the genome (PQLs, Protein Quantity Loci). Beyond the interest for regulatory genetics and molecular biology, the PQL methodology can provide an additional tool for the difficult task of identifying QTLs (Quantitative Trait Loci), in the context of the candidate gene approach. The PQL methodology is presented with the example of the phosphoglycerate mutase variations in maize, and the candidate gene/protein approach is illustrated for traits responsive to drought stress.
Cooperative user relaying assisted load balancing scheme for OFDMA based cellular networks

Load balancing is one of the radio resource management functionalities for tackling the hotspot problem caused by bursty and unevenly distributed traffic. In the conventional handover based load balancing schemes, the shifted cell edge users will suffer Signal to Noise (SNR) degradation problem due to the poorer channel condition of the new link. In this paper, a cooperative user relaying assisted load balancing scheme is proposed to address this problem. In the proposed scheme, an edge user of a heavy-loaded hotspot cell can be handed over to a light-loaded neighbour cell by selecting an appropriate inactive user in the light-loaded cell as the user relay for cooperative transmission. The intention is to take the advantage of the cooperative diversity gain to counter act the SNR degradation. In the paper, the concept and procedures of the proposed cooperative user relay assisted load balancing scheme is presented. The theoretical analysis and simulation evaluations of the scheme are undertaken. Simulation results show that the proposed scheme can effectively balance the load between cells, improve SNR of the shifted cell edge users, enhance the system throughput and deduce the system call blocking probability.
Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows

We address the problem of rank elicitation assuming that the underlying data generating process is characterized by a probability distribution on the set of all rankings (total orders) of a given set of items. Instead of asking for complete rankings, however, our learner is only allowed to query pairwise preferences. Using information of that kind, the goal of the learner is to reliably predict properties of the distribution, such as the most probable top-item, the most probable ranking, or the distribution itself. More specifically, learning is done in an online manner, and the goal is to minimize sample complexity while guaranteeing a certain level of confidence.
Broad-Enrich: functional interpretation of large sets of broad genomic regions

Motivation: Functional enrichment testing facilitates the interpretation of Chromatin immunoprecipitation followed by high-throughput sequencing (ChIP-seq) data in terms of pathways and other biological contexts. Previous methods developed and used to test for key gene sets affected in ChIP-seq experiments treat peaks as points, and are based on the number of peaks associated with a gene or a binary score for each gene. These approaches work well for transcription factors, but histone modifications often occur over broad domains, and across multiple genes. Results: To incorporate the unique properties of broad domains into functional enrichment testing, we developed Broad-Enrich, a method that uses the proportion of each gene’s locus covered by a peak. We show that our method has a well-calibrated false-positive rate, performing well with ChIP-seq data having broad domains compared with alternative approaches. We illustrate Broad-Enrich with 55 ENCODE ChIP-seq datasets using different methods to define gene loci. Broad-Enrich can also be applied to other datasets consisting of broad genomic domains such as copy number variations. Availability and implementation: http://broad-enrich.med.umich.edu for Web version and R package. Contact: sartorma@umich.edu Supplementary information: Supplementary data are available at Bioinformatics online.
On Resource Bipartitioning Problem

Given a connected graph G = (V, E), two distinct base vertices u <sub>1</sub>, u<sub>2</sub> isin V, a set V<sub>r</sub> sube V of r special vertices and two natural numbers r<sub>1</sub>, r<sub>2</sub> such that r<sub>1</sub> + r<sub>2</sub> = r, we wish to find a partition V<sub>1</sub>, V<sub>2</sub> of the vertex set V such that u<sub>1</sub> isin V<sub>1</sub>, u<sub>2</sub> isin V<sub>2</sub>, V<sub>i</sub> induces a connected subgraph G<sub>i</sub> of G for each i, 1 les i les 2, V<sub>1</sub> contains r<sub>2</sub> vertices from V<sub>r</sub> and V<sub>2</sub> contains r<sub>2</sub> vertices from V <sub>r</sub>. We call a vertex in V<sub>r</sub> a resource vertex and call the above problem of finding a partition as the resource bipartitioning problem. This paper gives a simple linear-time algorithm to find such a bi-partition of "path-reducible graphs". This paper also gives an algorithm for finding a resource bipartition of a connected graph G where all resource vertices are contained in the same biconnected component of G. The paper also shows that a well-known class of graphs namely "series-parallel graphs" admits a resource bipartitioning. The algorithm is based on st-numbering of G
G2C E-Government Adoption: A Theoretical Framework

This paper provides a conceptual model of citizen adoption of G2C e-government, based on technology acceptance model and IS success model, and combined with the three levels of e-government development, i.e., the static level, interaction level and transaction level. It emphasizes the dynamics of e-government development, as well as the combination of perception of the system usage and system quality. It could become the theoretical basis for the empirical research of the factors for citizen adoption of e-government in the future.