Miracle-dz/UniFAR-FTUs huggingface dataset:
Context-Aware Small Cell Networks: How Social Metrics Improve Wireless Resource Allocation

In this paper, a novel approach for optimizing resource allocation in wireless small cell networks (SCNs) with device-to-device (D2D) communication is proposed. The proposed approach allows jointly exploiting the wireless and social context of wireless users for optimizing the overall allocation of resources and improving the traffic offload in SCNs. This context-aware resource allocation problem is formulated as a matching game, in which user equipments (UEs) and resource blocks (RBs) rank one another, based on utility functions that capture both wireless and social metrics. Due to social interrelations, this game is shown to belong to a class of matching games with peer effects. To solve this game, a novel self-organizing algorithm is proposed, using which UEs and RBs can interact to decide on their desired allocation. The proposed algorithm is then proven to converge to a two-sided stable matching between UEs and RBs. The properties of the resulting stable outcome are then studied and assessed. Simulation results using real social data show that clustering of socially connected users allows offloading a substantially larger amount of traffic than the conventional context-unaware approach. These results show that exploiting social context has high practical relevance in saving resources on wireless links and in the backhaul.
Crystallization of the one-component plasma at finite temperature.

We have determined the coexistence at positive temperature between a Wigner crystal and a fluid plasma using path integral Monte Carlo. The total energies are significantly different from classical and semiclassical predictions. The location of the phase transition between liquid and solid is higher in temperature than predicted by a generalized Lindemann criterion. Some features of the phase diagram can be understood using a novel application of the Clausius-Clapeyron equation. We find a maximum melting temperature of 6.0s5d 3 1025 Ry at rs . 180s20d. [S0031-9007(96)00437-1]
Determinants of Credit to Households in a Life-Cycle Model

This paper applies a life-cycle model with individual income uncertainty to investigate the determinants of credit to households. We show that the value of household credit to GDP ratio depends on (i) the lending-deposit interest rate spread, (ii) individual income uncertainty, (iii) individual productivity persistence, and (iv) the generosity of the pension system. Subsequently, we provide empirical evidence for the predictions of the theoretical model on the basis of data for OECD and EU countries.
Construction of multi-soliton solutions for the $L^2$-supercritical gKdV and NLS equations

Multi-soliton solutions, i.e. solutions behaving as the sum of N given solitons as $t\to +\infty$, were constructed in previous works for the L2 critical and subcritical (NLS) and (gKdV) equations. In this paper, we extend the construction of multi-soliton solutions to the L2 supercritical case both for (gKdV) and (NLS) equations, using a topological argument to control the direction of instability.
On the Comparison of Regression Algorithms for Computer Architecture Performance Analysis of Software Applications

The ability to provide diagnostic information for workload performance is of great value in the performance tuning process. Not only can it orient the tuning process by identifying key performance issues, it can also be used to estimate the severity of each performance issue and the potential gain from addressing it. This work investigates the ability of some of the most popular machine learning regression algorithms to provide this diagnostic information. Five regression algorithms are trained using real performance data collected on an Intel R © CoreTM2 Duo processor desktop machine. The algorithms are compared along two axes, prediction quality and usefulness of output, in order to gain key insights into the causes and severity of performance issues. Although several techniques are found to demonstrate good prediction quality, our study shows that the model-tree-based technique (M5’) gives superior interpretability. This class of algorithm produces models that can be used, not only to predict performance, but also to indicate the sources of potential performance improvement and to quantify the potential performance gain. This information can be used to direct performance optimization efforts by prioritizing performance problems.
Optical coherence tomography for fingerprint acquisition from internal layer - A case study

In this paper a problem of fingerprint-based biometric technique for the use in cases when the fingertips surface has been seriously damaged, making it impossible or extremely difficult to form a conventional reference pattern, is addressed. The optical coherence tomography (OCT) is considered as a method to acquire data enabling later reconstruction of the fingerprint pattern from the internal (mother) layer. A set of two procedures: the first converting the 3-dimensional data resulting from the OCT to the 2-dimensional raw fingerprint image and the second adapting this image to input data for simple, standard fingerprint recognition algorithms, are described. Both procedures make up a complete preprocessing tool. The data set consisted of 149 B-scans forming a 3-dimensional structure describing the surface and shallow internal layer of a part of a fingertip of a person with considerably damaged fingertip surface, making the recognition of the fingerprint with direct method impossible. The obtained results prove that the OCT technique can be efficiently used to solve the considered problem, and that the proposed algorithms form a tool that can be useful for larger databases.
Establishing a cost-effective national surveillance system for Bluetongue using scenario tree modelling

Vector-borne diseases pose a special challenge to veterinary authorities due to complex and time-consuming surveillance programs taking into account vector habitat. Using stochastic scenario tree modelling, each possible surveillance activity of a future surveillance system can be evaluated with regard to its sensitivity and the expected cost. The overall sensitivity of various potential surveillance systems, composed of different combinations of surveillance activities, is calculated and the proposed surveillance system is optimized with respect to the considered surveillance activities, the sensitivity and the cost. The objective of this project was to use stochastic scenario tree modelling in combination with a simple cost analysis in order to develop the national surveillance system for Bluetongue in Switzerland. This surveillance system was established due to the emerging outbreak of Bluetongue virus serotype 8 (BTV-8) in Northern Europe in 2006. Based on the modelling results, it was decided to implement an improved passive clinical surveillance in cattle and sheep through campaigns in order to increase disease awareness alongside a targeted bulk milk testing strategy in 200 dairy cattle herds located in high-risk areas. The estimated median probability of detection of cases (i.e. sensitivity) of the surveillance system in this combined approach was 96.4%. The evaluation of the prospective national surveillance system predicted that passive clinical surveillance in cattle would provide the highest probability to detect BTV-8 infected animals, followed by passive clinical surveillance in sheep and bulk milk testing of 200 dairy cattle farms in high-risk areas. This approach is also applicable in other countries and to other epidemic diseases.
Cyberkids? Exploring Children’s Identities and Social Networks in On-line and Off-line Worlds

In the first rush of academic and popular commentaries on cyberspace, a stark opposition has been drawn between off-line and on-line worlds—the “real” and “virtual. ” Such understandings of the relationship between these spaces are now increasingly subject to critique, yet relatively little is known about how people actually employ information and communication technologies (ICT) within the context of their everyday lives. In this article, by drawing on research with children aged 11 – 16, we provide primary empirical material demonstrating how on-line spaces are used, encountered, and interpreted within the context of young people’s off-line everyday lives. In doing so we consider both how children’s “real” worlds are incorporated into their “virtual” worlds and how their “virtual” worlds are incorporated into their “real” worlds. In other words, we demonstrate how the real and the virtual are mutually constituted. We also reflect on some of the forms of “private” and “public” spaces constituted by children’s activities on and around the screen.
Docentes universitarios: Una mirada desde la Autoeficacia general y engagement laboral

La presente investigacion busca comprender como se presenta la autoeficacia general y el engagement laboral en docentes de la carrera de psicologia en una universidad particular de Lima Metropolitana. Para alcanzar dicho objetivo se realizaron entrevistas a profundidad a siete docentes: tres mujeres y cuatro varones. A partir de ellas se comprende que factores personales les han servido a estos docentes en el ejercicio de su profesion y tambien con que se encuentran ellos engaged. Finalmente, las conclusiones a las cuales se llego es que los docentes son autoeficaces, pues evaluan sus capacidades como su entorno para poder alcanzar el objetivo. Y tambien se hallo que se encuentran engaged con su labor de docencia, esto debido a la interaccion que tienen con sus estudiantes pues investigan mas y se mantienen actualizados en su campo profesional.
Human Factors and Ergonomics

The phrase "human factors" is often used to mean "human characteristics. " Various human factors in this sense generally fall into one of three groups of human characteristics: (1) physical characteristics, (2) physiological characteristics, and (3) psychological or behavioral characteristics. These groups of human factors are not necessarily mutually exclusive. Here human factors defines the nature of our "humanness," that is, the characteristics of "being human. "
Effects of Dietary Fibre (Pectin) and/or Increased Protein (Casein or Pea) on Satiety, Body Weight, Adiposity and Caecal Fermentation in High Fat Diet-Induced Obese Rats

Dietary constituents that suppress appetite, such as dietary fibre and protein, may aid weight loss in obesity. The soluble fermentable dietary fibre pectin promotes satiety and decreases adiposity in diet-induced obese rats but effects of increased protein are unknown. Adult diet-induced obese rats reared on high fat diet (45% energy from fat) were given experimental diets ad libitum for 4 weeks (n = 8/group): high fat control, high fat with high protein (40% energy) as casein or pea protein, or these diets with added 10% w/w pectin. Dietary pectin, but not high protein, decreased food intake by 23% and induced 23% body fat loss, leading to 12% lower final body weight and 44% lower total body fat mass than controls. Plasma concentrations of satiety hormones PYY and total GLP-1 were increased by dietary pectin (168% and 151%, respectively) but not by high protein. Plasma leptin was decreased by 62% on pectin diets and 38% on high pea (but not casein) protein, while plasma insulin was decreased by 44% on pectin, 38% on high pea and 18% on high casein protein diets. Caecal weight and short-chain fatty acid concentrations in the caecum were increased in pectin-fed and high pea protein groups: caecal succinate was increased by pectin (900%), acetate and propionate by pectin (123% and 118%, respectively) and pea protein (147% and 144%, respectively), and butyrate only by pea protein (309%). Caecal branched-chain fatty acid concentrations were decreased by pectin (down 78%) but increased by pea protein (164%). Therefore, the soluble fermentable fibre pectin appeared more effective than high protein for increasing satiety and decreasing caloric intake and adiposity while on high fat diet, and produced a fermentation environment more likely to promote hindgut health. Altogether these data indicate that high fibre may be better than high protein for weight (fat) loss in obesity.
Dual career couples in academia, international mobility and dual career services in Europe

The number of dual career couples in academia is growing due to the increasing proportion of women with a doctoral degree and the greater propensity of women to choose another academic as their partner. At the same time, international mobility is required for career advancement in academia, creating challenges for dual career couples where both partners pursue careers. This paper has two objectives: (a) to raise the increasingly important issue of dual career couples in academia and the gendered effect that the pressure for mobility has on career advancement and work–life interference; and (b) to present examples of recently established dual career services of higher education institutions in Germany, Denmark and Switzerland, responding to the needs of the growing population of dual career couples. Due to long established practices of dual career services in the USA, the European examples will be compared with US practices. This paper raises the significance of considering dual career couples in institutional policies that aim for an internationally excellent and diversified academic workforce. It will appraise dual career services according to whether they reinforce or address gender inequalities and provide recommendations to higher education institutions interested in developing services and programmes for dual career couples.
Gender Bias in Student Evaluations

ABSTRACT Many universities use student evaluations of teachers (SETs) as part of consideration for tenure, compensation, and other employment decisions. However, in doing so, they may be engaging in discriminatory practices against female academics. This study further explores the relationship between gender and SETs described by MacNell, Driscoll, and Hunt (2015) by using both content analysis in student-evaluation comments and quantitative analysis of students’ ordinal scoring of their instructors. The authors show that the language students use in evaluations regarding male professors is significantly different than language used in evaluating female professors. They also show that a male instructor administering an identical online course as a female instructor receives higher ordinal scores in teaching evaluations, even when questions are not instructor-specific. Findings suggest that the relationship between gender and teaching evaluations may indicate that the use of evaluations in employment decisions is discriminatory against women.
The relative influence of environmental characteristics on tropical deep convective morphology as observed by CloudSat

Utilizing a previously developed CloudSat cloud object database, the sensitivity of oceanic, mature, deep convective cloud morphology to cloud‐scale environmental characteristics is examined. Convective available potential energy (CAPE), aerosol optical depth, midlevel vertical velocity, and tropospheric deep shear are all used to characterize the environment. The sensitivity of various aspects of convective morphology to each one of these environmental quantities is assessed individually. The results demonstrate that clouds tend to be invigorated by higher CAPE, aerosol, and upward midlevel vertical velocity. Stronger shear tends to make clouds wider but also shallower. The relative importance of each of these and some additional environmental measures to trends in cloud morphology are compared. It is found that aerosol, deep‐layer shear, and sea surface temperature tend to be the most influential environmental factors to convective morphology. The results are shown to be insensitive to the manner in which the environmental characteristics are defined. The potentially surprising weak sensitivity of cloud morphology to CAPE is discussed in detail.
Russian women's experience of friendship: examining the application of American theories

This qualitative exploratory study examined Russian women’s lived experience of their friendships with other Russian women, and the applicability of American theories of interpersonal relationships and friendship in interpreting that experiencing. The relational dialectic approach to friendship served as the theoretical framework of this study. The capta obtained by means o f conversational interviewing o f five Russian women were analyzed thematically. Interpreting the women’s experience using relational dialectics produced four themes involving three dialectics. Two more dialectics observed in American friendships, certainty/uncertainty and affection/instrumentality, were not evident in interpreting the friendship experiences o f these women. Analysis also provided insight on cultural similarities and differences between Russian women and American in the definition of friendship. Implications for future research considering the culture and the relational dialectics of friendship were noted. 3
Efficient simplification of point-sampled surfaces

We introduce, analyze and quantitatively compare a number of surface simplification methods for point-sampled geometry. We have implemented incremental and hierarchical clustering, iterative simplification, and particle simulation algorithms to create approximations of point-based models with lower sampling density. All these methods work directly on the point cloud, requiring no intermediate tesselation. We show how local variation estimation and quadric error metrics can be employed to diminish the approximation error and concentrate more samples in regions of high curvature. To compare the quality of the simplified surfaces, we have designed a new method for computing numerical and visual error estimates for point-sampled surfaces. Our algorithms are fast, easy to implement, and create high-quality surface approximations, clearly demonstrating the effectiveness of point-based surface simplification.
A Deep Learning Approach to Unsupervised Ensemble Learning

We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First, we prove that the popular model of Dawid and Skene, which assumes that all classifiers are conditionally independent, is equivalent to a Restricted Boltzmann Machine (RBM) with a single hidden node. Hence, under this model, the posterior probabilities of the true labels can be instead estimated via a trained RBM. Next, to address the more general case, where classifiers may strongly violate the conditional independence assumption, we propose to apply RBM-based Deep Neural Net (DNN). Experimental results on various simulated and real-world datasets demonstrate that our proposed DNN approach outperforms other state-of-the-art methods, in particular when the data violates the conditional independence assumption.
Cross-cultural adjustment to the United States: the role of contextualized extraversion change

Personality traits can predict how well-sojourners and expatriates adjust to new cultures, but the adjustment process remains largely unexamined. Based on recent findings that reveal personality traits predict as well as respond to life events and experiences, this research focuses on within-person change in contextualized extraversion and its predictive validity for cross-cultural adjustment in international students who newly arrived in US colleges. We proposed that the initial level as well as the rate of change in school extraversion (i.e., contextualized extraversion that reflects behavioral tendency in school settings) will predict cross-cultural adjustment, withdrawal cognitions, and school satisfaction. Latent growth modeling of three-wave longitudinal surveys of 215 new international students (54% female, Mage = 24 years) revealed that the initial level of school extraversion significantly predicted cross-cultural adjustment, (lower) withdrawal cognitions, and satisfaction, while the rate of change (increase) in school extraversion predicted cross-cultural adjustment and (lower) withdrawal cognitions. We further modeled global extraversion and cross-cultural motivation as antecedents and explored within-person change in school extraversion as a proximal factor that affects adjustment outcomes. The findings highlight the malleability of contextualized personality, and more importantly, the importance of understanding within-person change in contextualized personality in a cross-cultural adjustment context. The study points to more research that explicate the process of personality change in other contexts.
The exposure to traumatic events and symptoms of posttraumatic stress disorder among Korean journalists

This study investigated posttraumatic stress disorder (PTSD) symptoms on Korean journalists and the contributing variables. Predicting variables included the exposure to traumatic events, coping strategy, social support, optimism, negative beliefs, and the journalists’ occupational perspectives. A total of 367 Korean journalists participated in the survey. The findings revealed that, first, Korean journalists had suffered severely from PTSD symptoms according to the prevalence rate. Second, the extent of traumatic event exposure, the length of career, the use of dysfunctional coping strategy, a lack of social support, and negative beliefs were identified as significantly related variables. Finally, occupational perspectives showed meaningful associations with development of the symptoms. This study provided an empirical analysis of Korean journalists’ experiences of traumatic events and psychological stress for the first time.
Dihydrolipoyl dehydrogenase as a source of reactive oxygen species inhibited by caloric restriction and involved in Saccharomyces cerevisiae aging

Replicative life span in Saccharomyces cerevisiae is increased by glucose (Glc) limitation [calorie restriction (CR)] and by augmented NAD+. Increased survival promoted by CR was attributed previously to the NAD+‐dependent histone deacetylase activity of sirtuin family protein Sir2p but not to changes in redox state. Here we show that strains defective in NAD+ synthesis and salvage pathways (pnc1Δ, npt1Δ, and bna6Δ) exhibit decreased oxygen consumption and increased mitochondrial H2O2 release, reversed over time by CR. These null mutant strains also present decreased chronological longevity in a manner rescued by CR. Furthermore, we observed that changes in mitochondrial H2O2 release alter cellular redox state, as attested by measurements of total, oxidized, and reduced glutathione. Surprisingly, our results indicate that matrix‐soluble dihydrolipoyl‐dehydrogenases are an important source of CR‐preventable mitochondrial reactive oxygen species (ROS). Indeed, deletion of the LPD1 gene prevented oxidative stress in npt1Δ and bna6Δ mutants. Furthermore, pyruvate and α‐ketoglutarate, substrates for dihydrolipoyl dehydrogenasecontaining enzymes, promoted pronounced reactive oxygen release in permeabilized wild‐type mitochondria. Altogether, these results substantiate the concept that mitochondrial ROS can be limited by caloric restriction and play an important role in S. cerevisiae senescence. Furthermore, these findings uncover dihydrolipoyl dehydrogenase as an important and novel source of ROS leading to life span limitation. Tahara, E. B. , Barros, M. H. , Oliveira, G. A. , Netto, L. E. S. , Kowaltowski, A. J. Dihydrolipoyl dehydrogenase as a source of reactive oxygen species inhibited by caloric restriction and involved in Saccharomyces cerevisiae aging. FASEB J. 21, 274–283 (2007)