Miracle-dz/UniFAR-FTUs huggingface dataset:
Data-Driven Concurrency for High Performance Computing

In this work, we utilize dynamic dataflow/data-driven techniques to improve the performance of high performance computing (HPC) systems. The proposed techniques are implemented and evaluated through an efficient, portable, and robust programming framework that enables data-driven concurrency on HPC systems. The proposed framework is based on data-driven multithreading (DDM), a hybrid control-flow/dataflow model that schedules threads based on data availability on sequential processors. The proposed framework was evaluated using several benchmarks, with different characteristics, on two different systems: a 4-node AMD system with a total of 128 cores and a 64-node Intel HPC system with a total of 768 cores. The performance evaluation shows that the proposed framework scales well and tolerates scheduling overheads and memory latencies effectively. We also compare our framework to MPI, DDM-VM, and OmpSs@Cluster. The comparison results show that the proposed framework obtains comparable or better performance.
Performance Analysis of Direct-Learning Digital Predistortion With Loop Delay Mismatch in Wideband Transmitters

Orthogonal frequency-division multiplexing (OFDM) modulation, which is commonly used in modern digital communication systems due to its flexibility and high spectral efficiency, is sensitive to transmitter nonlinearities introduced by the power amplifiers (PAs). As a key technology in wireless transmitting systems, digital predistortion (DPD) is widely applied to compensate for the transmitter nonlinearities and ensure high power-added efficiency in base stations and mobile devices for cellular systems. In a DPD architecture, the transmitter input and output signals are sampled, aligned, and processed to extract the DPD parameters that would be used to predistort the source signal before transmission to counteract the transmitter nonlinearities. However, the alignment accuracy in DPD is limited by nonideal electronic components and the associated circuitry, which introduces unknown loop delay mismatch and, thus, degrades the overall linearization performance. In this paper, we analyze the effect of a loop delay mismatch on PA model identification and, hence, on DPD linearization performance of the wideband OFDM signals. The expression and upper limit for the normalized mean square error (NMSE) are derived in terms of the loop delay mismatch, transmission signal bandwidth, and signal-to-noise ratio (SNR) of the feedback channel. The expression for the adjacent channel leakage ratio (ACLR) performance is also derived to predict the DPD linearization performance with the presence of the loop delay mismatch. The theoretical analysis reveals that the performance degradation increases with the bandwidth of the OFDM signal and the modulus of the loop delay mismatch. Experiments are performed on the Long-Term Evolution (LTE) Advanced signals with bandwidth ranging from 20 to 100 MHz to evaluate the degradation effect of the loop delay mismatch on the NMSE and ACLR performances.
Codes for Symbol-Pair Read Channels

A new coding framework is established for channels whose outputs are overlapping pairs of symbols. Such channels are motivated by storage applications in which the spatial resolution of the reader may be insufficient to isolate adjacent symbols. Reading symbols as pairs changes the coding-theoretic error model from the standard bounded number of symbol errors to a bounded number of pair errors. Starting from the most basic coding-theoretic questions, the paper studies codes that protect against pair-errors. It provides answers on pair-error correctability conditions, code construction and decoding, and lower and upper bounds on code sizes. Asymptotic analysis of pair-error correction shows that there exist pair-error codes with rates that are strictly higher than the best known codes in the Hamming metric.
Complex biotic interactions drive long-term vegetation dynamics in a subarctic ecosystem

Predicting impacts of global warming requires understanding of the extent to which plant biomass and production are controlled by bottom-up and top-down drivers. By annually monitoring community composition in grazed control plots and herbivore-free exclosures at an Arctic location for 15 years, we detected multiple biotic interactions. Regular rodent cycles acted as pulses driving synchronous fluctuations in the biomass of field-layer vegetation; reindeer influenced the biomass of taller shrubs, and the abundance of plant pathogenic fungi increased when densities of their host plants increased in exclosures. Two outbreaks of geometrid moths occurred during the study period, with contrasting effects on the field layer: one in 2004 had marginal effects, while one in 2012 severely reduced biomass in the control plots and eliminated biomass that had accumulated over 15 years in the exclosures. The latter was followed by a dramatic decline of the dominant understory dwarf-shrub Empetrum hermaphroditum, driven by an interaction between moth herbivory on top buds and leaves, and increased disease severity of a pathogenic fungus. We show that the climate has important direct and indirect effects on all these biotic interactions. We conclude that long time series are essential to identify key biotic interactions in ecosystems, since their importance will be influenced by climatic conditions, and that manipulative treatments are needed in order to obtain the mechanistic understanding needed for robust predictions of future ecosystem changes and their feedback effects.
The Concept of Hospitalization of Children from the View Point of Parents and Children

Objective Disease and hospitalization can be the first crisis that a child encounters. The aim of this study is to reveal a clear picture of the meaning of hospitalization in children, to show the experience and behavior of hospitalized children and to discover the meaning and understanding of hospitalization in them. Methods This study is a phenomenology study of qualitative research within the framework of Husserl Eidetic phenomenology through comprehensive interviewing. The objective group consisted of children 7–11 years old - and their parents - hospitalized in the children's ward of 22 Bahman Hospital and the surgery ward of 15 Khordad Hospital during the study (2008). Method of selection of participants was as follows: having experience of hospitalization, having ability to answer the questions, and being volunteered. Sample size was detected by data saturation. In the method of sampling, an object group of 20 (12 children and 8 parents) were chosen and interviewed. The Seven Colaizzi Stages were used for analysis of data. Findings The analysis of the interviews and the written narrations of the participants led to the extraction of 6 inner themes consisting of sickness, environment, reciprocal relationship, parents’ personal problems, mental and emotional matters and a spiritual dimension; all of which define a specific aspect of the experience of hospital in children and parents. Conclusion The experience of hospitalization in children can be considered as a process of effort for returning to health and, on the whole, the regaining of the individual's status in the world. Nurses can ease this process by showing the importance of experience and feelings of individuals at the time of hospitalization and help people to adapt themselves to their new surroundings. This matter can enable the nurses to utilize methods of helping in the adaptation of individuals and thus guide the unique powers present in every individual to ease and quicken recovery.
Interannual Variability in Dry Mixed-Grass Prairie Yield: A Comparison of MODIS, SPOT, and Field Measurements

Remote sensing is often used to assess rangeland condition and biophysical parameters across large areas. In particular, the relationship between the Normalized Difference Vegetation Index (NDVI) and above-ground biomass can be used to assess rangeland primary productivity (seasonal carbon gain or above-ground biomass “yield”). We evaluated the NDVI–yield relationship for a southern Alberta prairie rangeland, using seasonal trends in NDVI and biomass during the 2009 and 2010 growing seasons, two years with contrasting rainfall regimes. The study compared harvested biomass and NDVI from field spectrometry to NDVI from three satellite platforms: the Aqua and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) and Systeme Pour l’Observation de la Terre (SPOT 4 and 5). Correlations between ground spectrometry and harvested biomass were also examined for each growing season. The contrasting precipitation patterns were easily captured with satellite NDVI, field NDVI and green biomass measurements. NDVI provided a proxy measure for green plant biomass, and was linearly related to the log of standing green biomass. NDVI phenology clearly detected the green biomass increase at the beginning of each growing season and the subsequent decrease in green biomass at the end of each growing season due to senescence. NDVI–biomass regressions evolved over each growing season due to end-of-season senescence and carryover of dead biomass to the following year. Consequently, mid-summer measurements yielded the strongest correlation (R2 = 0.97) between NDVI and green biomass, particularly when the data were spatially aggregated to better match the satellite sampling scale. Of the three satellite platforms (MODIS Aqua, MODIS Terra, and SPOT), Terra yielded the best agreement with ground-measured NDVI, and SPOT yielded the weakest relationship. When used properly, NDVI from satellite remote sensing can accurately estimate peak-season productivity and detect interannual variation in standing green biomass, and field spectrometry can provide useful validation for satellite data in a biomass monitoring program in this prairie ecosystem. Together, these methods can be used to identify the effects of year-to-year precipitation variability on above-ground biomass in a dry mixed-grass prairie. These findings have clear applications in monitoring yield and productivity, and could be used to support a rangeland carbon monitoring program.
Cognitive Tempo in American, Japanese, and Israeli Children.

SALKIND, NEIL J.; KOJIMA, HIDEO; and ZELNIKER, TAMAR. Cognitive Tempo in American, Japanese, and Israeli Children. CHILD DEVELOPMENT, 1978, 49, 1024-1027. Data on the Matching Familiar Figures test (MFF) for over 5,000 American, Japanese, and Israeli children were used to examine cross-cultural differences in cognitive tempo. Factorial analyses of variance revealed significant main effects for age, sex, and nationality as well as age x nationality interactions for both errors and latency. Younger Japanese children made fewer errors than their American or Israeli counterparts and continued to do so until 8 years of age, when their level of accuracy approached that of 10-12-year-old American and Israeli children. The age x nationality interaction for latency revealed peak performance for Japanese children at 8 years of age, while the latency for American and Israeli children continued to increase up until about 10, eventually becoming slower than their Japanese counterparts. All 3 cultural groups tend to be characterized by highly similar developmental trends for both errors and latency, as well as a synchrony within each group between peak latency and asymptotic error scores. There also appears to be a developmental shift present, where these patterns are evidenced in Japanese children 2 years earlier than in American and Israeli children. The results are discussed in light of cultural and task demands.
Becoming a Young Father: A Decision or an “Accident”?

ABSTRACT This paper explores the question of intentionality when young men become fathers. While research in social sciences has shed light on who young fathers are and has considered various issues such as their ability to raise children, their involvement with their children, and their commitment to their partner, we have forgotten to ask how fatherhood entered their life. Research has supported the hypothesis that a desire for pregnancy exists among precocious mothers; this same issue is addressed in the current study with a sample of 30 young men who fathered a child with women under the age of 20 in Quebec, Canada. Data were collected from interviews and socio-demographic questionnaires and were analyzed with a special focus on comparing results with a similar study of young mothers. Results showed that a desire to become a father may have been present to some degree among the participants. These findings challenge the thesis of the accident as the only way to understand how young men become fathers.
Neonatal respiratory distress syndrome: Chest X-ray or lung ultrasound? A systematic review

Background and aim Neonatal respiratory distress syndrome is a leading cause of morbidity in preterm new-born babies (<37 weeks gestation age). The current diagnostic reference standard includes clinical testing and chest radiography with associated exposure to ionising radiation. The aim of this review was to compare the diagnostic accuracy of lung ultrasound against the reference standard in symptomatic neonates of ≤42 weeks gestation age. Methods A systematic search of literature published between 1990 and 2016 identified 803 potentially relevant studies. Six studies met the review inclusion criteria and were retrieved for analysis. Quality assessment was performed before data extraction and meta-analysis. Results Four prospective cohort studies and two case control studies included 480 neonates. All studies were of moderate methodological quality although heterogeneity was evident across the studies. The pooled sensitivity and specificity of lung ultrasound were 97% (95% confidence interval [CI] 94–99%) and 91% (CI: 86–95%) respectively. False positive diagnoses were made in 16 cases due to pneumonia (n = 8), transient tachypnoea (n = 3), pneumothorax (n = 1) and meconium aspiration syndrome (n = 1); the diagnoses of the remaining three false positive results were not specified. False negatives diagnoses occurred in nine cases, only two were specified as air-leak syndromes. Conclusions Lung ultrasound was highly sensitive for the detection of neonatal respiratory distress syndrome although there is potential to miss co-morbid air-leak syndromes. Further research into lung ultrasound diagnostic accuracy for neonatal air-leak syndrome and economic modelling for service integration is required before lung ultrasound can replace chest radiography as the imaging component of the reference standard.
Exploring predictors of organizational identification: Moderating role of trust on the associations between empowerment, organizational support, and identification

The purpose of this study is to explore the associations among psychological empowerment, perceived organizational support (POS), trust in supervisor, and organizational identification. In particular, this study posits that trust in supervisor moderates the relationships between psychological empowerment, POS, and organizational identification. Blue collar employees from the shipping industry in Turkey are selected as the main target of this study. A total of 518 questionnaires were analysed. Results indicate that all the dimensions of psychological empowerment, namely goal internalization, perceived competence, and perceived control, POS, cognition- and affect-based trust in supervisor are positively associated with organizational identification. Moderation analysis shows that cognition-based trust in supervisor moderates the relationships between perceived competence, perceived control, and organizational identification, whereas affect-based trust in supervisor moderates the relationships between goal internalization, POS, and organizational identification. Furthermore, some practical implications are also discussed.
Frontal EEG Alpha Asymmetry, Depression, and Cognitive Functioning

Davidson (1993) has proposed that hemispheric asymmetry in prefrontal as measured by electroencephalographic (EEG) power in the alpha (8-13Hz), is related to reactivity to affectively valenced stimuli. Davidson has proposed further that asymmetry is a stable trait, and that left frontal is a stable marker of vulnerability to depression. In Study 1, we Davidson's formulations by examining differences in frontal EEG alpha among currently depressed, previously depressed, and never subjects. As expected, currently and previously depressed subjects left frontal hypoactivation relative to never depressed controls, but did differ significantly from each other. In Study 2, we explored the associations among frontal EEG asymmetry, response to a negative mood induction endorsement of dysfunctional cognitions, and attentional processing of valenced stimuli. Contrary to predictions, frontal EEG asymmetry was to mood reactivity and cognitive functioning. Theoretical and implications of these findings are discussed.
Successful E-learning in Small and Medium-sized Enterprises

So far, e-learning has primarily been used when there are many learners involved. The up-front investments related to e-learning are relatively high, and may be perceived as prohibitive for small and medium-sized enterprises (SMEs). Some e-learning is, however, getting less expensive, and some e-learning models are more suited for small-scale training than others. Therefore, this article presents some e-learning experiences derived from case studies of eighteen enterprises in eight European countries. The case studies represent small, medium-sized and large enterprises as well as e-learning providers. The analysis suggests that SMEs could use e-learning successfully based on three different types of courses: Generic courses, sector courses and internal courses. The small enterprises have so few employees that they are most likely to enrol individual students in generic courses. The medium-sized enterprises may also benefit from more specialized sector courses offered through a branch association or in cooperation with suppliers or chains. Large enterprises may have enough resources to develop e-learning courses internally. The e-learning providers are SMEs that may be especially interesting as examples of how other enterprises may use e-learning in the future. The article concludes with a number of success factors and advantages with e-learning in SMEs.
Unresolved Antiretroviral Treatment Management Issues in HIV-Infected Children

Abstract:Antiretroviral therapy in children has expanded dramatically in low-income and middle-income countries. The World Health Organization revised its pediatric HIV guidelines to recommend initiation of antiretroviral therapy in all HIV-infected children younger than 2 years, regardless of CD4 count or clinical stage. The number of children starting life-long antiretroviral therapy should therefore expand dramatically over time. The early initiation of antiretroviral therapy has indisputable benefits for children, but there is a paucity of definitive information on the potential adverse effects. In this review, a comprehensive literature search was conducted to provide an overview of our knowledge about the complications of treating pediatric HIV.Antiretroviral therapy in children, as in adults, is associated with enhanced survival, reduction in opportunistic infections, improved growth and neurocognitive function, and better quality of life. Despite antiretroviral therapy, HIV-infected children may continue to lag behind their uninfected peers in growth and development. In addition, epidemic concurrent conditions, such as tuberculosis, malaria, and malnutrition, can combine with HIV to yield more rapid disease progression and poor treatment outcomes.Additional studies are required to evaluate the long-term effects of antiretroviral therapy in HIV-infected infants, children, and adolescents, particularly in resource-limited countries where concomitant infections and conditions may enhance the risk of adverse effects. There is an urgent need to evaluate drug–drug interactions in children to determine optimal treatment regimens for both HIV and coinfections.
Gibberish, Assistant, or Master?: Using Tweets Linking to News for Extractive Single-Document Summarization

Single-document summarization is a challenging task. In this paper, we explore effective ways using the tweets linking to news for generating extractive summary of each document. We reveal the very basic value of tweets that can be utilized by regarding every tweet as a vote for candidate sentences. Base on such finding, we resort to unsupervised summarization models by leveraging the linking tweets to master the ranking of candidate extracts via random walk on a heterogeneous graph. The advantage is that we can use the linking tweets to opportunistically "supervise" the summarization with no need of reference summaries. Furthermore, we analyze the influence of the volume and latency of tweets on the quality of output summaries since tweets come after news release. Compared to truly supervised summarizer unaware of tweets, our method achieves significantly better results with reasonably small tradeoff on latency; compared to the same using tweets as auxiliary features, our method is comparable while needing less tweets and much shorter time to achieve significant outperformance.
To Flatter The Jury: Ingratiation During Closing Arguments

Ingratiation is a powerful tool of persuasion in many settings. In the current study, participants read a description of a criminal case and then viewed a videotaped presentation of closing arguments from actors portraying the prosecuting and defense attorneys. The defense attorney's closing argument contained either no, low, moderate or high levels of ingratiation. Ingratiation significantly affected juror ratings of attorney attractiveness, trustworthiness, likeability, confidence and overall credibility. As ingratiation increased, ratings of attractiveness, likeability, and credibility increased, whereas ratings of confidence decreased. The relationship between ingratiation and guilt was mediated by ratings of attorney attractiveness, trustworthiness and confidence. Higher levels of these traits significantly lowered ratings of the defendant's guilt. Implications for the use of ingratiation during closing arguments of trials are discussed.
Explaining Ethnic Political Participation

Most concepts of ethnicity are unsuitable for political analysis because they ignore either subjective or objective aspects, and because they ignore the fluid and situational nature of ethnicity. The approach flowing from the concept proposed here permits the observer to examine empirical variations that tend to be treated as rigid assumptions by modernization analysts on the one hand and class analysts on the other. The concept is applied to a study of the Nubians of Uganda because of the intermixture of class and ethnic features involved in their fall from status at the beginning of the colonial period and their subsequent sudden rise following the 1071 coup d'état of Idi Amin. The fairly recent creation of the Nubians as an ethnic category and the relative ease with which others can become members illustrate other features of the proposed concept of ethnicity. Finally, this concept is used to examine and criticize overly restrictive notions of ethnicity found in theories based upon both cultural pluralism and consociationalism.