Miracle-dz/UniFAR-FTUs huggingface dataset:
Clopidogrel-Proton Pump Inhibitor Drug-Drug Interaction and Risk of Adverse Clinical Outcomes Among PCI-Treated ACS Patients: A Meta-analysis

BACKGROUND: Uncertainty regarding clopidogrel effectiveness attenuation because of a drug-drug interaction with proton pump inhibitors (PPI) has led to conflicting guidelines on concomitant therapy. In particular, the effect of this interaction in patients who undergo a percutaneous coronary intervention (PCI), a population known to have increased risk of adverse cardiovascular events, has not been systematically evaluated. OBJECTIVE: To synthesize the evidence of the effect of clopidogrel-PPI drug interaction on adverse cardiovascular outcomes in a PCI patient population. METHODS: We conducted a systematic literature review for studies reporting clinical outcomes in patients who underwent a PCI and were initiated on clopidogrel with or without a PPI. Studies were included in the analysis if they reported at least 1 of the clinical outcomes of interest (major adverse cardiovascular event [MACE], cardiovascular death, all-cause death, myocardial infarction, stroke, stent thrombosis, and bleed events). We excluded studies that were not exclusive to PCI patients or had no PCI subgroup analysis and/or did not report at least a 6-month follow-up. Statistical and clinical heterogeneity were evaluated and HRs and 95% CIs for adverse clinical events were pooled using the DerSimonian and Laird random-effects meta-analysis method. RESULTS: We identified 12 studies comprising 50,277 PCI patients that met our inclusion and exclusion criteria. Our analysis included retrospective analyses of randomized controlled trials (2), health registries (3), claims databases (2), and institutional records (5); no prospective studies of PCI patients were identified. On average, patients were in their mid-60s, male, and had an array of comorbidities, including hyperlipidemia, diabetes, hypertension, and smoking history. Concomitant therapy following PCI resulted in statistically significant increases in composite MACE (HR = 1.28; 95% CI = 1.24-1.32), myocardial infarction (HR = 1.51; 95% CI = 1.40-1.62), and stroke (HR = 1.46; 95% CI = 1.15-1.86). However, concomitant therapy had no statistically significant effect on stent thrombosis, mortality measured by all-cause or cardiovascular death, or major bleeding before or after the grouping of studies that reported a major or minor bleed outcome. Only 1 study reported on gastrointestinal bleed, and pooled analysis could not be conducted. Statistical testing suggested heterogeneity among studies, but subgroup analysis did not reveal a clear source. CONCLUSIONS: Based on the results from this meta-analysis of retrospective analyses of randomized controlled trials and observational studies, concomitant clopidogrel-PPI therapy following PCI appears to be significantly associated with adverse cardiovascular events. Further research on the effect of individual PPIs is needed.
Level of Processing Modulates the Neural Correlates of Emotional Memory Formation

Emotion is known to influence multiple aspects of memory formation, including the initial encoding of the memory trace and its consolidation over time. However, the neural mechanisms whereby emotion impacts memory encoding remain largely unexplored. The present study used a levels-of-processing manipulation to characterize the impact of emotion on encoding with and without the influence of elaborative processes. Participants viewed emotionally negative, neutral, and positive scenes under two conditions: a shallow condition focused on the perceptual features of the scenes and a deep condition that queried their semantic meaning. Recognition memory was tested 2 days later. Results showed that emotional memory enhancements were greatest in the shallow condition. fMRI analyses revealed that the right amygdala predicted subsequent emotional memory in the shallow more than deep condition, whereas the right ventrolateral PFC demonstrated the reverse pattern. Furthermore, the association of these regions with the hippocampus was modulated by valence: the amygdala–hippocampal link was strongest for negative stimuli, whereas the prefrontal–hippocampal link was strongest for positive stimuli. Taken together, these results suggest two distinct activation patterns underlying emotional memory formation: an amygdala component that promotes memory during shallow encoding, especially for negative information, and a prefrontal component that provides extra benefits during deep encoding, especially for positive information.
A Rigorous Proof on the Radiation Resistance in Generalized PEEC Model

This paper develops a theory on the proof of the radiation resistance in frequency-domain partial element equivalent circuit (PEEC) model. Specifically, the total power dissipated on the imaginary part of the complex inductance and capacitance derived from the PEEC model is found to be the total radiated or scattered power when the structure is internally excited by independent sources, or externally by incident waves, respectively. Accordingly, the imaginary part of the complex inductance and capacitance represents a radiation resistance network of the structure. Numerical simulations based on PEEC and commercial electromagnetic simulation tool are presented for comparison, and some physical implications are discussed.
Segmental-Based Modeling of Tennis Video Broadcasts

Automatic annotation of video documents is a powerful tool for managing large video databases. In this work we aim to describe tennis video broadcasts in a human meaningful way and thus to construct their table of contents. We present a generalization of Hidden Markov Models, the Segment Models, for modeling and extracting high-level information from a video sequence. Segment Models, even though they operate in an enhanced search space, were proved experimentally to perform marginally better compared to Hidden Markov Models.
Bullying: A Whole-School Approach

Introduction. Part One: Developing a whole-school approach. 1. The importance of a whole-school approach. 2. Curriculum. 3. School structure. 4. Playground supervision. 5. Dealing with a bullying incident. 6. Developing an anti-bullying policy. 7. The parents. Part 2: Putting it into practice. 8. What is bullying? 9. Why children bully. 10. Reporting a bullying incident. 11. Locating bullying. 12. Creating an anti-bullying code. 13. The bystander. 14. The bystander's code. 15. Anti-bullying slogans. 16. Buddies. 17. Staying in Neutral Zone. 18. Saying 'no' like you mean it. 19. Using 'I' messages. 20. Using Robot Voice and Fogging. 21. Self-talk - My Winning Voice. 22. Using relaxation and creative visualisation. Appendices. References. Index.
Statistical multipole expansion and its application to an arbitrary shielding geometry with small variations

The statistical multipole expansion is a compact representation of a stochastic electromagnetic field in terms of the statistical moments of the corresponding multipole amplitudes. The paper deals with a systematic approach to obtain the statistical multipole amplitudes of the electromagnetic field inside an arbitrary shielding geometry by means of a spherical-multipole interface. The numerical evaluation is performed for a box-shaped metallic shield with a rectangular aperture, the size of which is known only in terms of its statistics.
Using Automatic Detection to Identify Students' Learning Style in Online Learning Environment -- Meta Analysis

Numerous studies have been carried out for the past several years concerning the promising method on automatic detection of students' learning style for a better learning adaption. Likewise in this study, we emphasize on presenting the result for the meta-analysis done on previous studies which incorporated the use of literature-based method - narrowing to active and reflective dimensions of Felder and Silverman model via online learning environment. Through the aforementioned method, we managed to critically identify several essential aspects that can benefit and serve as a guideline for implementing an automatic detection of learning style approach in the future. Among the aspects that worth being observed from the presented six studies are online learning platform, relevant features, behavior pattern, and precision. Further discussions on the aspects are presented in the paper.
Psychosocial Adjustment in Newly Diagnosed Prostate Cancer

Objective: To examine the psychological and social adjustment of men with early or advanced stage prostate cancer and to compare them with a matched group of cancer-free community volunteers. Methods: A longitudinal observational study in which 367 men recently diagnosed with early (n=211) or advanced stage (n=156) prostate cancer were compared to 169 cancer-free men from the community, of similar age and residential area, using self-report measures of psychosocial adjustment. Results: On the mental health subscales of the Short-Form 36-item Health Survey, men with advanced disease had lower vitality and social functioning than the other two groups, and lower mental health scores than the comparison group. Both patient groups had lower role-emotional scores than the comparison group. With regard to the Brief Symptom Inventory, the advanced disease group had higher somatization scores, and lower interpersonal sensitivity and paranoid ideation scores than the early stage group and the community comparison group. In terms of psychiatric morbidity, there were higher rates of anxiety disorders but not depressive disorders in both patient groups although overall diagnosis rates were low. No differences were found in terms of couple or family functioning. Conclusions: There is impairment in psychosocial function in men with prostate cancer, particularly those with advanced disease, but no increase in the rate of formal psychiatric disorder or adverse effects on the couples and families. This suggests directions for psychosocial interventions with these patient groups.
Second hand smoke and COPD: lessons from animal studies

Exposure to second hand smoke is a major cause of chronic obstructive pulmonary disease (COPD) in the non-smoker. In this review we explore the use of animal smoke exposure models and their insight into disease pathogenesis. The methods of smoke exposure, including exposure delivery systems, are described. Key findings from the acute and chronic smoke exposure models are outlined, including descriptions of the inflammation processes, proteases involved, oxidative stress, and apoptosis. Finally, alternatives to rodent models of lung disease are presented.
Bayesian Estimation of the von-Mises Fisher Mixture Model with Variational Inference

This paper addresses the Bayesian estimation of the von-Mises Fisher (vMF) mixture model with variational inference (VI). The learning task in VI consists of optimization of the variational posterior distribution. However, the exact solution by VI does not lead to an analytically tractable solution due to the evaluation of intractable moments involving functional forms of the Bessel function in their arguments. To derive a closed-form solution, we further lower bound the evidence lower bound where the bound is tight at one point in the parameter distribution. While having the value of the bound guaranteed to increase during maximization, we derive an analytically tractable approximation to the posterior distribution which has the same functional form as the assigned prior distribution. The proposed algorithm requires no iterative numerical calculation in the re-estimation procedure, and it can potentially determine the model complexity and avoid the over-fitting problem associated with conventional approaches based on the expectation maximization. Moreover, we derive an analytically tractable approximation to the predictive density of the Bayesian mixture model of vMF distributions. The performance of the proposed approach is verified by experiments with both synthetic and real data.
Story‐like organization of dream experience in different periods of REM sleep

Four dream reports, collected from each of 16 subjects in an experimental night, were analysed using the criteria of Mandler and Johnson's story grammar. The experimental night was the first of the four nights where subjects had spontaneously given a dream report after each of the four awakenings planned in REM sleep. A multivariate analysis of covariance, taking the order of the nights where the experimental night occurred and the order of reports as factors, the number of stories per report as covariate and the number of statements in the setting, the number of statements in the event structure and number of episodes per story as dependent variables, showed that the greater length and complexity of reports collected in the second half of the night depends on a greater effectiveness of the dream production system rather than on a greater accuracy of recall. This increase concerns the organization of individual stories rather than the number of stories developed in a given time. These findings raise the issue of how dream production is re‐triggered during REM sleep. To cast light on this issue, it seems important to establish whether and how the themes of the various stories developed in a given dream experience are interrelated.
Fermat: An Intelligent Social Network for Mathematics

We present Fermat, an Intelligent Social Network for Mathematics Learning, which integrates an Intelligent Tutoring System as an extra feature to help improve the teaching and learning process. The intelligent tutor takes into account both cognitive and affective factors, and by use of artificial intelligence techniques, provides users with a personalized and satisfying experience when taking the courses.
Creativity: The Influence of Cultural, Social, and Work Contexts

The present article aims to answer the question of whether creativity is universal or culture-specific. We develop a conceptual framework that expands the existing knowledge in two ways. First, it distinguishes between the two dimensions of creativity – novelty and usefulness, and their relationship to culture. Second, it clarifies how the social context moderates the relationship between culture and creativity. We focus on the social context where cultural differences are likely to be more salient because of the presence of others, relative to the private work context where no one observes whether a person performs in a normative or a unique way. In addition, we propose that task structure, whether a task is tightly or loosely structured, is an important contextual characteristic that moderates the relationship between culture and creativity. Lastly, we offer several propositions to guide future research.
Beyond Comfort Zones in Multiculturalism: Confronting the Politics of Privilege (Critical Studies in Education and Culture Series)

Acknowledgments Series Foreword by Henry A. Giroux Introduction: Resisting Zones of Comfort in Multiculturalism by Sandra Jackson and Jose Solis From I to We: Self-Determination and the Multicultural White Studies: The Intellectual Imperialism of U.S. Higher Education by Ward Churchill Multiculturalism: War in America Continues by Imari Abubakari Obadele Nuestra Realidad: Historical Roots of Our Latino Identity by Felix Masud-Piloto Racism: White Skin Privilege The Politics of Culture: Multicultural Education After the Content Debate by Cameron McCarthy and Arlette Ingram Willis Academic Apartheid: American Indian Studies and "Multiculturalism" by Marie Annette Jaimes * Guerrero The Doorkeepers: Education and Internal Settler Colonialism, the Mexican Experience by Priscilla Lujan Falcon Gendered Subjectivities Negotiating Self-Defined Standpoints in Teaching and Learning by Sandra Jackson Entre la Marquesina y la Cocina by Jose Solis Deconstructing Mainstream Discourse Through Puerto Rican Women's Oral Narratives by Lourdes Torres Curriculum, Canon, and Syllabi: Who's Teaching What and How Education in Community: The Role of Multicultural Education by Terence O'Connor Core Culture and Core Curriculum in South Africa by Neville Alexander The Peer Review Group: Writing, Negotiation, and Metadiscourse in the English Classroom by Linda Williamson Nelson The Cultural Ethos of the Academy: Potentials and Perils for Multicultural Education Reform by Geneva Gay and Wanda Fox Index About the Contributors
Epigenetic regulation of presenilin 1 and 2 in the cerebral cortex of mice during development

Previously, we reported differential expression profile of Presenilin (PS)1 and 2 and their interacting partners in mouse cerebral cortex during development. Our findings indicated crucial involvement of these proteases in prenatal and postnatal development of mouse cerebral cortex. However, the mechanisms that precisely control their expression in stage‐specific manner during brain development are still elusive. In this regard, epigenetic modifications by DNA methylation and histone acetylation during brain development deserve major attention. Therefore, we have analyzed the epigenetic regulation of PS1 and PS2 in mouse cerebral cortex during development. The data demonstrated a good correspondence of H3K9/14 Ac level in PS1 and PS2 promoter with their expression profile during cerebral cortical development. H3K9/14 Ac level was high at embryonic day (E)12.5, declined at E18.5, increased from postnatal day (P)0 to P45 and decreased again at 20 weeks (w) in PS1 promoter. For PS2, H3K9/14 Ac level was high at E12.5, thereafter, reduced upto P20 and increased at P45 and 20 weeks. DNA methylation sites also varied in number and position at different developmental stages, and some of them are putative sites for binding of transcription factors like HSF‐1, Ets‐1, and Sp1 that are crucial for brain developmental processes, as revealed by in silico analysis. Though MeCP2 level also altered during development, they did not correlate with PS1 and PS2 expression profile. Taken together, our findings provide the first evidence of epigenetic regulation of PS1 and PS2 by H3K9/14 histone acetylation and DNA methylation in mouse cerebral cortex during development. © 2015 Wiley Periodicals, Inc. Develop Neurobiol 75: 1165–1173, 2015
A Steiner tree-based verification approach for handling topology changes in self-organizing networks

In today's Self-Organizing Networks (SONs) we differentiate between closed-loop functions, which have a predefined absolute goal, and such that form an action plan that achieves a high expected utility. Both function types perform changes to Configuration Management (CM) parameters, but only the second type may re-adapt the action plan in order to maximize the utility. A SON verification approach is one member of this particular function class. It is seen as a special type of anomaly detection that divides the network into sets of cells, triggers an anomaly detection algorithm for those sets, and finally generates CM undo actions for the abnormally performing cells. Unfortunately, one of the challenges verification strategies are facing are network topology changes. Typically, cells are switched on or off when energy saving features are enabled. However, enabling or disabling cells can negatively influence a verification mechanism which may create a suboptimal action plan or even blame certain CM changes that actually did not harm performance. In order to overcome this issue, we present an approach that is based on Steiner trees. In graph theory, a Steiner tree is a Minimum Spanning Tree (MST) whose costs can be reduced by adding additional vertexes to the graph. We use this tree to filter out anomalies caused by topology adjustments and such induced by other CM changes. In this paper, we also evaluate the proposed solution in several scenarios. First, in a simulation study we evaluate the functions that are used to build the Steiner tree. Second, we show how it positively affects the network performance when having concurrent CM and topology changes.
Improved algorithms for computing fisher's market clearing prices: computing fisher's market clearing prices

We give the first strongly polynomial time algorithm for computing an equilibrium for the linear utilities case of Fisher's market model. We consider a problem with a set B of buyers and a set G of divisible goods. Each buyer i starts with an initial integral allocation e<sub>i</sub> of money. The integral utility for buyer i of good j is U<sub>ij</sub>. We first develop a weakly polynomial time algorithm that runs in O(n<sup>4</sup> log U<sub>max</sub> + n<sup>3</sup> e<sub>max</sub>) time, where n = |B| + |G|. We further modify the algorithm so that it runs in O(n<sup>4</sup> log n) time. These algorithms improve upon the previous best running time of O(n<sup>8</sup> log U<sub>max</sub> + n<sup>7</sup> log e<sub>max</sub>), due to Devanur et al.
Role for Reelin in the Development of Granule Cell Dispersion in Temporal Lobe Epilepsy

The reelin signaling pathway plays a crucial role during the development of laminated structures in the mammalian brain. Reelin, which is synthesized and secreted by Cajal–Retzius cells in the marginal zone of the neocortex and hippocampus, is proposed to act as a stop signal for migrating neurons. Here we show that a decreased expression of reelin mRNA by hippocampal Cajal–Retzius cells correlates with the extent of migration defects in the dentate gyrus of patients with temporal lobe epilepsy. These results suggest that reelin is required for normal neuronal lamination in humans, and that deficient reelin expression may be involved in migration defects associated with temporal lobe epilepsy.
Discrimininative training of narrow band - wide band adapted systems for meeting recognition

The amount of training data has a crucial effect on the accuracy of HMM based meeting recognition systems. One of the largest collections of speech data is conversational telephone speech which was found to match speech in meetings well. However it is naturally recorded with limited bandwidth. In previous work we presented a scheme that allows to transform wide-band meeting data into the same space for improved model training. In this paper we focused on integration of discriminative adaptation into this scheme. This integration is not straightforward and we present the complexity of this process. The models are tested on the NIST RT’05 meeting evaluation where a relative reduction in word error rate of 5.6% against non-adapted meeting system was achieved.