Miracle-dz/UniFAR-FTUs huggingface dataset:
Communication Improvement within the Education Process and Emotional Intelligence Development

Both the authorsâ€™ previous experience and the devoted literature highlight the particular role of teacher-student communication for the quality of graduatesâ€™ professional development and education. The research presented herein is based on a sociological survey conducted in a large university from north-west Romania, on more than 600 Economics Masterâ€™s students.The chief goal of our research is to determine efficient ways to improve the student training provided by the master programmes in Economics, by means of a better stimulation on the part of the teachers, a more efficient teacher â€“ student communication, a better quality of the teaching materials employed and a greater relevance of the educational content for the particular area of specialisation pursued.After an initial review of the material resulted from the sociological survey, we continued to analyse the results in relation to the tiers of the communication process, the role of groups in the learning process and of the education process in the development of emotional intelligence.Within the current phase of our study, the underlying hypotheses are:(1) The training of Economics and Business Administration students provides them with opportunities of professional specialisation, while developing skills and abilities useful in everyday life. (2) The studentsâ€™ training in Economics also entails an implicit educational process, which supports the development of their emotional intelligence. (3) Multiculturalism bears manifold benefits, both in terms of specialist professional training and on graduatesâ€™ attitudes and behaviour in the social life.This study allowed us to validate the hypotheses and to draw some interesting conclusions for the education of students enrolled in the university surveyed.
Bacteriophage Infectivity Against Pseudomonas aeruginosa in Saline Conditions

Pseudomonas aeruginosa is a ubiquitous member of marine biofilm, and reduces thiosulfate to produce toxic hydrogen sulfide gas. In this study, lytic bacteriophages were isolated and applied to inhibit the growth of P. aeruginosa in planktonic mode at different temperature, pH, and salinity. Bacteriophages showed optimal infectivity at a multiplicity of infection of 10 in saline conditions, and demonstrated lytic abilities over all tested temperature (25, 30, 37, and 45°C) and pH 6–9. Planktonic P. aeruginosa exhibited significantly longer lag phase and lower specific growth rates upon exposure to bacteriophages. Bacteriophages were subsequently applied to P. aeruginosa-enriched biofilm and were determined to lower the relative abundance of Pseudomonas-related taxa from 0.17 to 5.58% in controls to 0.01–0.61% in treated microbial communities. The relative abundance of Alphaproteobacteria, Pseudoalteromonas, and Planococcaceae decreased, possibly due to the phage-induced disruption of the biofilm matrix. Lastly, when applied to mitigate biofouling of ultrafiltration membranes, bacteriophages were determined to reduce the transmembrane pressure increase by 18% when utilized alone, and by 49% when used in combination with citric acid. The combined treatment was more effective compared with the citric acid treatment alone, which reported ca. 30% transmembrane pressure reduction. Collectively, the findings demonstrated that bacteriophages can be used as a biocidal agent to mitigate undesirable P. aeruginosa-associated problems in seawater applications.
Pathways mediating resolution of inflammation: when enough is too much

Patients with critical illness, and in particular sepsis, are now recognized to undergo unifying, pathogenic disturbances of immune function. Whilst scientific and therapeutic focus has traditionally been on understanding and modulating the initial pro‐inflammatory limb, recent years have witnessed a refocusing on the development and importance of immunosuppressive 'anti‐inflammatory' pathways. Several mechanisms are known to drive this phenomenon; however, no overriding conceptual framework justifies them. In this article we review the contribution of pro‐resolution pathways to this phenotype, describing the observed immune alterations in terms of either a failure of resolution of inflammation or the persistence of pro‐resolution processes causing inappropriate ‘injurious resolution’—a novel hypothesis. The dysregulation of key processes in critical illness, including apoptosis of infiltrating neutrophils and their efferocytosis by macrophages, are discussed, along with the emerging role of specialized cell subtypes Gr1+ CD11b+ myeloid‐derived suppressor cells and CD4+ CD25+ FoxP3+ T‐regulatory cells. Copyright © 2013 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.
How Successful are Dynamic Factor Models at Forecasting Output and Inflation? A Meta-Analytic Approach

This paper surveys existing factor forecast applications for real economic activity and inflation by means of a meta-analysis and contributes to the current debate on the determinants of the forecast performance of large-scale dynamic factor models relative to other models. We find that, on average, factor forecasts are slightly better than other models' forecasts. In particular, factor models tend to outperform small-scale models, whereas they perform slightly worse than alternative methods which are also able to exploit large datasets. Our results further suggest that factor forecasts are better for US than for UK macroeconomic variables, and that they are better for US than for euro-area output; however, there are no significant differences between the relative factor forecast performance for US and euro-area inflation. There is also some evidence that factor models are better suited to predict output at shorter forecast horizons than at longer horizons. These findings all relate to the forecasting environment (which cannot be influenced by the forecasters). Among the variables capturing the forecasting design (which can, by contrast, be influenced by the forecasters), the size of the dataset from which factors are extracted seems to positively affect the relative factor forecast performance. There is some evidence that quarterly data lend themselves better to factor forecasts than monthly data. Rolling forecasts are preferable to recursive forecasts. The factor estimation technique seems to matter as well. Other potential determinants - namely whether forecasters rely on a balanced or an unbalanced panel, whether restrictions implied by the factor structure are imposed in the forecasting equation or not and whether an iterated or a direct multi-step forecast is made - are found to be rather irrelevant. Moreover, we find no evidence that pre-selecting the variables to be included in the panel from which factors are extracted helped to improve factor forecasts in the past.
Homeland engagement and host-society integration: A comparative study of new Chinese immigrants in the United States and Singapore

This article addresses three main questions through a comparative study of new Chinese immigrants in the United States and Singapore: (1) How do contexts of emigration and reception affect the ways in which new immigrants are tied to their homeland? (2) How do diasporic communities help members engage with the homeland? (3) What effects does transnationalism have on host-society integration? We develop an institutional approach to analyze how the state is involved in the transnational fields and how diasporic organizations serve as a bridge between individual migrants and state actors in transnational practices and integration processes. We find that new Chinese immigrants maintain emotional and tangible ties with China even as they are oriented toward resettlement in the hostland and that their transnational practices are similar in form but vary in magnitude, depending not only on diasporic positionality in the host society but also on bi-national relations. We also find that those who actively engage themselves in the transnational fields tend to do so through diasporic organizations. Finally, we find that homeland engagement generally benefits integration into host societies. These findings suggest that social forces at the macro-level – the nation-state – and at the meso-level – diasporic communities – are intertwined to affect processes and outcomes of immigrant transnationalism.
INVITED PAPER Special Section on Technologies and Architectures for Improving Scalability , Reliability , and Robustness for Future Information Networks Empowering Security and Mobility in Future Networks with an Identity-Based Control Plane

Current network technologies, mainly represented by the Internet, have demonstrated little capacity to evolve because of the strict binding of communications to identifiers and locators. While locator namespaces represent the position of communication participants in the graph of a specific protocol, unstructured/plain identifiers represent the position of communications participants in the global network graph. Although they are valid for forwarding packets along communication paths, both views fail to fully represent the actual entities behind communications beyond a simple vertex. In this paper we introduce and evaluate an identitybased control plane that resolves these problems by abstracting communications from identifiers and locators and by using identities to achieve enhanced security, and mobility management operations. This identity-based control plane can then be integrated into different network architectures in order to incorporate the features it provides. This facilitates the evolution capacity of those architectures that separate the information transmission concerns (networking, routing), from end-to-end aspects like security and mobility management. key words: future network, identity, overlay, security, mobility
Self-Control and Subjective Volitional Regulation as Personal Predictors of High School Students Success in the Framework of Career-Oriented Education in High School

The article provides a theoretical overview of research reflecting correlation between intellectual factors, motivational and personality variables with high school students' academic performance. This empirical research analyzes subjective volitional control, self-regulation, achievement motivation, locus of control, intellectual abilities and temperamental characteristics which are considered important factors for predicting high school students' academic performance in the context of professional education. The study indicates the difference between indicators of standardized self assessment techniques developed for students and the outcome of teachers' evaluation of students' self-regulation during learning process. The research results suggest that a high level of subjective volitional control of high school students is an essential factor for professional education, while self-regulation is the most crucial facet when teaching less successful students. Students' academic performance in career- oriented classes is largely affected by their perseverance and intellectual abilities.
Sparse Spatial Coding: A novel approach for efficient and accurate object recognition

Successful state-of-the-art object recognition techniques from images have been based on powerful methods, such as sparse representation, in order to replace the also popular vector quantization (VQ) approach. Recently, sparse coding, which is characterized by representing a signal in a sparse space, has raised the bar on several object recognition benchmarks. However, one serious drawback of sparse space based methods is that similar local features can be quantized into different visual words. We present in this paper a new method, called Sparse Spatial Coding (SSC), which combines a sparse coding dictionary learning, a spatial constraint coding stage and an online classification method to improve object recognition. An efficient new off-line classification algorithm is also presented. We overcome the problem of techniques which make use of sparse representation alone by generating the final representation with SSC and max pooling, presented for an online learning classifier. Experimental results obtained on the Caltech 101, Caltech 256, Corel 5000 and Corel 10000 databases, show that, to the best of our knowledge, our approach supersedes in accuracy the best published results to date on the same databases. As an extension, we also show high performance results on the MIT-67 indoor scene recognition dataset.
Effects of caffeine on the human circadian clock in vivo and in vitro

Caffeine delays the human circadian clock and affects cellular timekeeping through an adenosine receptor–dependent mechanism. Your daily drug resets your clock Your morning cup of coffee may be shifting your circadian clock. Burke et al. show that caffeine—widely available, legal, and psychoactive—inserts a delay into the ~24-hour metabolic rhythm that keeps your body running in time with the world. In a sensitive, within-subject experimental design, five people were kept under highly controlled conditions for 49 days. Before bedtime, they were given various treatments: either a double-espresso caffeine dose, exposure to bright or dim light, or a placebo. The caffeine delayed their internal clock by 40 min, a shift about half as long as bright light, a stimulus known to robustly lengthen the circadian phase. The authors used cultured cells to determine that the drug acted directly on the adenosine receptor, which increases the intracellular messenger molecule cyclic AMP. The fact that cyclic AMP forms a key cog in the inner workings of the clock links caffeine’s biochemical effects to its delay of the circadian rhythm. Not only do these results reinforce the common advice to avoid caffeine in the evening, but they also raise the intriguing possibility that caffeine may be useful for resetting the circadian clock to treat jet lag induced by international time zone travel. Caffeine’s wakefulness-promoting and sleep-disrupting effects are well established, yet whether caffeine affects human circadian timing is unknown. We show that evening caffeine consumption delays the human circadian melatonin rhythm in vivo and that chronic application of caffeine lengthens the circadian period of molecular oscillations in vitro, primarily with an adenosine receptor/cyclic adenosine monophosphate (AMP)–dependent mechanism. In a double-blind, placebo-controlled, ~49-day long, within-subject study, we found that consumption of a caffeine dose equivalent to that in a double espresso 3 hours before habitual bedtime induced a ~40-min phase delay of the circadian melatonin rhythm in humans. This magnitude of delay was nearly half of the magnitude of the phase-delaying response induced by exposure to 3 hours of evening bright light (~3000 lux, ~7 W/m2) that began at habitual bedtime. Furthermore, using human osteosarcoma U2OS cells expressing clock gene luciferase reporters, we found a dose-dependent lengthening of the circadian period by caffeine. By pharmacological dissection and small interfering RNA knockdown, we established that perturbation of adenosine receptor signaling, but not ryanodine receptor or phosphodiesterase activity, was sufficient to account for caffeine’s effects on cellular timekeeping. We also used a cyclic AMP biosensor to show that caffeine increased cyclic AMP levels, indicating that caffeine influenced a core component of the cellular circadian clock. Together, our findings demonstrate that caffeine influences human circadian timing, showing one way that the world’s most widely consumed psychoactive drug affects human physiology.
Group B Streptococcal Infection and Activation of Human Astrocytes

Background Streptococcus agalactiae (Group B Streptococcus, GBS) is the leading cause of life-threatening meningitis in human newborns in industrialized countries. Meningitis results from neonatal infection that occurs when GBS leaves the bloodstream (bacteremia), crosses the blood-brain barrier (BBB), and enters the central nervous system (CNS), where the bacteria contact the meninges. Although GBS is known to invade the BBB, subsequent interaction with astrocytes that physically associate with brain endothelium has not been well studied. Methodology/Principal Findings We hypothesize that human astrocytes play a unique role in GBS infection and contribute to the development of meningitis. To address this, we used a well- characterized human fetal astrocyte cell line, SVG-A, and examined GBS infection in vitro. We observed that all GBS strains of representative clinically dominant serotypes (Ia, Ib, III, and V) were able to adhere to and invade astrocytes. Cellular invasion was dependent on host actin cytoskeleton rearrangements, and was specific to GBS as Streptococcus gordonii failed to enter astrocytes. Analysis of isogenic mutant GBS strains deficient in various cell surface organelles showed that anchored LTA, serine-rich repeat protein (Srr1) and fibronectin binding (SfbA) proteins all contribute to host cell internalization. Wild-type GBS also displayed an ability to persist and survive within an intracellular compartment for at least 12 h following invasion. Moreover, GBS infection resulted in increased astrocyte transcription of interleukin (IL)-1β, IL-6 and VEGF. Conclusions/Significance This study has further characterized the interaction of GBS with human astrocytes, and has identified the importance of specific virulence factors in these interactions. Understanding the role of astrocytes during GBS infection will provide important information regarding BBB disruption and the development of neonatal meningitis.
Hot or Cold Anger? Verbal and Vocal Expression of Anger While Driving in a Simulated Anger-Provoking Scenario

Extensive research has examined the relationship between driving anger and risky behavior; however, little is known about how drivers express and regulate anger while driving. The present study was designed to examine the verbal and acoustic correlates of driving anger, as well as whether emotion regulation strategies such as cognitive reappraisal are effective at reducing the outward expression of anger while driving. Forty-four participants were asked to drive in an emotionally neutral and an anger-provoking simulated driving scenarios, while their driving behavior as well as their speech was recorded. Participants were randomly assigned to two experimental conditions, with one group receiving instructions to reappraise the anger-provoking events and a control group receiving no instructions. Results show that in the anger-provoking scenario, participants exhibited more violations, horn-honking, and cursing. Few acoustic variations were detected and were compatible with the acoustic profile of cold anger rather than with the one of hot anger expression. Finally, reappraisal reduced the number of violations only. The implications of these findings are discussed.
The Impact of Diversity on Optimal Control Policies for Heterogeneous Robot Swarms

We consider the problem of distributing a large group of heterogeneous robots among a set of tasks that require specialized capabilities in order to be completed. We model the system of heterogeneous robots as a community of species, in which each species (robot type) is defined by the traits (capabilities) that it owns. In order to solve the distribution problem, we develop centralized as well as decentralized methods to efficiently control the heterogeneous swarm of robots. Our methods assume knowledge of the underlying task topology and are based on a continuous model of the system that defines transition rates to and from tasks, for each robot species. Our optimization of the transition rates is fully scalable with respect to the number of robots, number of species, and number of traits. Building on this result, we propose a real-time optimization method that enables an online adaptation of transition rates as a function of the state of the current robot distribution. We also show how the robot distribution can be approximated based on local information only, consequently enabling the development of a decentralized controller. We evaluate our methods by means of microscopic simulations and show how the performance of the latter is well predicted by the macroscopic equations. Importantly, our framework also includes a diversity metric that enables an evaluation of the impact of swarm heterogeneity on performance. The metric defines the notion of minspecies, i.e., the minimum set of species that are required to achieve a given goal. We show that two distinct goal functions lead to two specializations of minspecies, which we term as eigenspecies and coverspecies. Quantitative results show the relation between diversity and performance.
Exploring the use of Intel SGX for Secure Many-Party Applications

The theoretical construct of a Trusted Third Party (TTP) has the potential to solve many security and privacy challenges. In particular, a TTP is an ideal way to achieve secure multiparty computation---a privacy-enhancing technique in which mutually distrusting participants jointly compute a function over their private inputs without revealing these inputs. Although there exist cryptographic protocols to achieve this, their performance often limits them to the two-party case, or to a small number of participants. However, many real-world applications involve thousands or tens of thousands of participants. Examples of this type of many-party application include privacy-preserving energy metering, location-based services, and mobile network roaming. Challenging the notion that a trustworthy TTP does not exist, recent research has shown how trusted hardware and remote attestation can be used to establish a sufficient level of assurance in a real system such that it can serve as a trustworthy remote entity (TRE). We explore the use of Intel SGX, the most recent and arguably most promising trusted hardware technology, as the basis for a TRE for many-party applications. Using privacy-preserving energy metering as a case study, we design and implement a prototype TRE using SGX, and compare its performance to a previous system based on the Trusted Platform Module (TPM). Our results show that even without specialized optimizations, SGX provides comparable performance to the optimized TPM system, and therefore has significant potential for large-scale many-party applications.
Validation of a Short, 3-Item Version of the Subjective Numeracy Scale

Background and Objective. Efficiency in scale design reduces respondent burden. A brief but reliable measure of numeracy may provide a useful research tool eligible for integration into large epidemiological studies or clinical trials. Our goal was to validate a 3-item version of the Subjective Numeracy Scale (SNS-3). Design and Setting. We examined 7 separate cross-sectional data sets: patients in the emergency department (n = 208), clinic (n = 205), and hospital (n = 460; n = 2053) and patients with chronic kidney disease (n = 147), with diabetes (n = 318), and on hemodialysis (n = 143). Measurements: Internal reliability of the SNS-3 was assessed with Cronbach’s α. Criterion validity was determined by nonparametric correlations of the SNS-3 with SNS-8 and other measures of numeracy; construct validity was determined by correlations with measures of health literacy and education. Results: The SNS-3 had good internal reliability (median Cronbach’s α = 0.78) and correlated highly with the full SNS (median ρ = 0.91). The SNS-3 was significantly correlated with other measures of numeracy (e.g., median ρ = 0.57 with the Wide Range Achievement Test 4), health literacy (e.g., median ρ = 0.35 with the Shortened Test of Functional Health Literacy in Adults), and education (median ρ = 0.41), providing good evidence of criterion and construct validity. Conclusion: The SNS-3 is sufficiently reliable and valid to be used as a measure of subjective numeracy.