Miracle-dz/UniFAR-FTUs huggingface dataset:
Language Modeling with Gated Convolutional Networks

The pre-dominant approach to language modeling to date is based on recurrent neural networks. Their success on this task is often linked to their ability to capture unbounded context. In this paper we develop a finite context approach through stacked convolutions, which can be more efficient since they allow parallelization over sequential tokens. We propose a novel simplified gating mechanism that outperforms Oord et al (2016) and investigate the impact of key architectural decisions. The proposed approach achieves state-of-the-art on the WikiText-103 benchmark, even though it features long-term dependencies, as well as competitive results on the Google Billion Words benchmark. Our model reduces the latency to score a sentence by an order of magnitude compared to a recurrent baseline. To our knowledge, this is the first time a non-recurrent approach is competitive with strong recurrent models on these large scale language tasks.
Par6α Interacts with the Dynactin Subunit p150Glued and Is a Critical Regulator of Centrosomal Protein Recruitment

Depletion of Par6α, a component of the centrosome and centriolar satellites, caused mislocalization of centrosomal proteins that control microtubule organization. Par6α bound the dynactin subunit p150Glued and regulated its localization. We propose that Par6α facilitates centrosomal protein delivery through its association with p150Glued.
Unique contribution of semantic representations to immediate memory: an individual-differences approach

ABSTRACT Studies have reported dissociations between the contributions of semantic and phonological representations to immediate remembering, found through experimental manipulations as well as specific clinical cases. Also, some studies based on the analysis of individual differences reported that a semantic cued recall task has a variance unshared with the immediate memory tasks which tap the contribution of phonological representations. However, another study suggested that cued recall performance could reflect a wider ability to cluster information by category. Furthermore, no studies of individual differences have investigated the unique semantic contribution in the visual domain. Therefore, the present study used specific immediate recognition memory tasks that have been used to investigate the semantic contribution in the verbal and visual domains. The results demonstrate the unshared variance that reflects the semantic contribution in both the verbal and the visual domain, and some commonality in these variances across the domains.
Single-Negative, Double-Negative, and Low-index Metamaterials and their Electromagnetic Applications

Spherical near-field measurements have become a common way to assess the performance of a wide variety of antennas. However, published reports on range-error assessments for spherical near-field ranges are not very common. This is likely due to the perceived additional complexity of the spherical near-field measurement process, as compared to planar or cylindrical measurement techniques. This paper will establish and demonstrate a simple procedure for characterizing the performance of a spherical near-field range. The measurement steps and reporting can be largely automated with careful attention to the test process. We will summarize the process and document the accuracy of a spherical near-field test range at nearfield systems (NSI), using the same NIST 18 terms commonly used for planar near-field measurements
The Relationship Between Psychological Empowerment and Creative Performance of Employees: Mediating Effect of Job Satisfaction in International Non-Governmental Organizations

The aim of this study was to examine the relationship between psychological empowerment and creative performance through the mediating effect of job satisfaction in the International Non-Governmental Organization’s (INGO’s) context in Jordan. In accomplishment of this, an online questionnaire was distributed to a random representative sample of INGO’s employees working at Jesuit Refugee Service Jordan. Data were collected from 125 workers who are diverse in their gender, age, educational level, work experience and hierarchical position. Additionally, SPSS and AMO statistical software were used in order to read out the results of the filled out questionnaires. Moreover, Correlation Matrix, Multiple Regression Analysis and Mediation Analysis Process statistical tools were adopted in order to validate the proposed relationship. Sequentially, the results of the analysis validated the proposition that psychological empowerment is correlated significantly to the creative performance of employees through the mediating effect of job satisfaction.
The Face Tells All: Testing the Impact of Physical Attractiveness and Social Media Information of Spokesperson on Message Effectiveness During a Crisis

This paper empirically examines the effects of organizational spokesperson's physical attractiveness and their social cues usage on message effectiveness. A 2 (physical attractiveness of spokesperson) &#215; 2 (social cues) &#215; 2 (crisis response strategy) mixed subject design was tested. The results show that spokespeople with high physical attractiveness as communicating more credible messages, being more expert sources, and as being more persuasive. Also, social cues of spokespeople have an influence on the participants&#8217; perceived credibility and expertise while the interaction effects suggest that the effects of social cue override the effects of physical attractiveness. This indicates that crisis communication practitioners can use social cues to boost persuasiveness and/or message credibility of less attractive spokespeople. Theoretical and practical implications are also discussed.
The Caltech-UCSD Birds-200-2011 Dataset

CUB-200-2011 is an extended version of CUB-200 [7], a challenging dataset of 200 bird species. The extended version roughly doubles the number of images per category and adds new part localization annotations. All images are annotated with bounding boxes, part locations, and at- tribute labels. Images and annotations were filtered by mul- tiple users of Mechanical Turk. We introduce benchmarks and baseline experiments for multi-class categorization and part localization.
Spatial and Temporal Distribution of Volatile Organic Compounds around an Industrial Park of Taiwan

The results of spatial and temporal distribution of volatile organic compounds (VOCs) in ambient air surrounding the Hsinchu Science-Based Industrial Park (SBIP), Taiwan during February 2001 to November 2001 are presented. The sampling was performed at 13 different sites around the SBIP for 24 hrs once every month, and a total of 130 samples were collected. The effects of geographical and meteorological conditions and production volume of the SBIP on the variation of pollutant’ s concentration were investigated. The spatial distribution shows that a comparatively higher concentration of VOCs was found at the sites, which are in the southwestern part of SBIP, downwind of or close to factories. When the wind velocity was low (i.e. below 2 m/s), the concentration of pollutant tended to increase and became uniformly distributed around the science park. The temporal distribution shows a decrease in ambient concentration of pollutants from February to June 2001, mainly due to the decline in the production volume of the SBIP in this period. During the whole period of investigation, the concentration of most of the compounds (except acetone and IPA) was found to be lower than the factory-surrounding air quality standard of Taiwan, but in some cases it was higher than the AALG (ambient air level goal).
Engaging underrepresented groups in high school introductory computing through computational remixing with EarSketch

In this paper, we describe a pilot study of EarSketch, a computational remixing approach to introductory computer science, in a formal academic computing course at the high school level. The EarSketch project provides an integrated curriculum, Python API, digital audio workstation (DAW), audio loop library, and social sharing site. The goal for EarSketch is to broaden participation in computing, particularly by traditionally underrepresented groups, through a thickly authentic learning environment that has personal and industry relevance in both computational and artistic domains. The pilot results show statistically significant gains in computing attitudes across multiple constructs, with particularly strong results for female and minority participants.
Stochastic model of the LMS volterra filter

This paper presents a statistical model for the LMS-Volterra filter, which is valid for truncated Volterra filters of any order with stationary input signals. Model expressions for the mean-weight behavior and learning curve are derived by considering a slow adaptation condition. The proposed model brings out and discusses the particular structure of the Volterra input autocorrelation matrix, focusing on its impact on the algorithm behavior. Simulation results illustrating the accuracy of the proposed analytical model are presented.
Principal Leadership and School Performance: An Examination of Instructional Leadership and Organizational Management

ABSTRACT Recent research work in school leadership highlighting the importance of principals’ organizational management skills has prompted scholars to consider their importance in relation to instructional leadership skills. However, there is limited empirical work that directly compares these leadership skills and their importance for school outcomes. In this study, we use principals’ self-ratings to construct typologies of effectiveness in both domains and compare their relationship to student achievement. Our results show that principals view themselves as either strong or weak on instructional leadership and organizational management skills simultaneously. We also find that learning gains vary significantly across the principal profiles.
Microarchitecture Influences Microdamage Accumulation in Human Vertebral Trabecular Bone

It has been suggested that accumulation of microdamage with age contributes to skeletal fragility. However, data on the age‐related increase in microdamage and the association between microdamage and trabecular microarchitecture in human vertebral cancellous bone are limited. We quantified microdamage in cancellous bone from human lumbar (L2) vertebral bodies obtained from 23 donors 54–93 yr of age (8 men and 15 women). Damage was measured using histologic techniques of sequential labeling with chelating agents and was related to 3D microarchitecture, as assessed by high‐resolution μCT. There were no significant differences between sexes, although women tended to have a higher microcrack density (Cr.Dn) than men. Cr.Dn increased exponentially with age (r = 0.65, p < 0.001) and was correlated with bone volume fraction (BV/TV; r = −0.55; p < 0.01), trabecular number (Tb.N; r = −0.56 p = 0.008), structure model index (SMI; r = 0.59; p = 0.005), and trabecular separation (Tb.Sp; r = 0.59; p < 0.009). All architecture parameters were strongly correlated with each other and with BV/TV. Stepwise regression showed that SMI was the best predictor of microdamage, explaining 35% of the variance in Cr.Dn and 20% of the variance in diffuse damage accumulation. In addition, microcrack length was significantly greater in the highest versus lowest tertiles of SMI. In conclusion, in human vertebral cancellous bone, microdamage increases with age and is associated with low BV/TV and a rod‐like trabecular architecture.
Linear stability analysis of a Level Set model of immersed elastic membrane

AbstractWe perform a linear stability analysis of an elementary 1D model ob-tained from a Level Set formulation of the coupling between an immersedelastic interface and the surrounding uid. Despite the striking simplicityof the studied model, relevant instability regimes are obtained, unifyingresults obtained in previous studies [5,17]. We also present numerical testson the full model which further illustrate the relevance of this simpli edmodel. 1 Introduction We study the numerical stability of an elastic membrane immersed in an incom-pressible 2D uid. This coupled model is described by an Eulerian version ofthe Immersed Boundary Method of Peskin [13], proposed by Cottet & Maitre([7],[8]), and using a Level Set formulation.Indeed, the stability of the Immersed Boundary Method is well known to beaected by the application of the elastic force on the structure, as soon as it istreated explicitely. In order to remove the time step restrictions, many workshave been dedicated to the study of implicit schemes ([16], [11], [14], [15], [12]). However these schemes seem to be unusable in practice because of the largecomputational cost related to the iterative resolution of the strongly non-linearcoupling at each time step. The de nition of semi-implicit or approximativeimplicit schemes allows to obtain more realistic methods. See [16], [14], [15] [9]et [2] and the references therein for details about such schemes.There exists several ways to carry out the study of numerical stability. Amongthem is the control of discrete energy conservation ([2],[12]), which is based onthe corresponding physical property. Another way is to perform a linear anal-ysis near an equilibrium state of the system, in order to identify the modesassociated to the membrane. In ([14], [15]) this approach enables the authorsto show that the instability is in particular increased by the combination of a1
Mergers and the Evolution of Industry Concentration: Results from the Dominant-Firm Model

To what extent will an industry in which mergers are feasible tend toward monopoly? We analyze this question using a dynamic dominant-firm model with rational agents, endogenous mergers, and constant returns to scale production. We find that long-run industry concentration depends upon the initial concentration. A monopolistic industry will remain monopolized and a perfectly competitive industry will remain perfectly competitive. For intermediate concentration levels, the dominant firm may acquire or sell capital, depending on its ability to commit to future behavior. Industry evolution also depends on the elasticities of demand and supply and the discount factor.
Material Flow in Ultrasonic Orbital Microforming

Ultrasonic orbital microforming—UOM—uses the broadly understood idea of orbital forging but uses very different laws of physics. The only shaping force in this process is the inertia force resulting from the acceleration in the rotary motion of the workpiece. Micro specimen blanked from cold rolled aluminum sheet metal was used in the applied UOM process. Only the upper and lower part of the sample is deformed that gives about 70% of volume. The rest—the middle part—remains undeformed. The final shape of the product is influenced by the shape of the inside of the die in which the UMO process is carried out. However, this effect is not a direct one. The product shape does not repeat the shape of the interior of the die. The preliminary experiments with modular micro-die have been performed on the way of controlling the shape of deformed micro-objects. The microstructure analysis has been done as well as micro-hardness distribution.
Familial Characteristics of Street Children in Tehran, Iran

Objective: The phenomenon of street children is one of the most important concerns facing global community. Identifying risk factors in such children could lead to crucial investigations to find their essential needs by intervention programs. The present study examined the family profile of street children in Tehran, Iran. Methods: The sample consisted of 576 street children who were evaluated by 15 examiners. Using multi-stage sampling, twenty-seven different areas of Tehran were divided into 5 clusters and the children were selected randomly from each cluster. The two questionnaires applied included a demographic questionnaire and a questionnaire about high-risk behaviors such as substance use, alcohol consumption, cigarette smoking, etc. Results: There was a statistical significant association between the length of work time and two variables: sex and economic status of family (p < 0.05). Incarceration history of street children who had lost both their parents and their parents had been divorced was significantly higher than others (p < 0.05). Conclusion: The street children's lifestyle is a risk factor for affecting them to variety types of socio-mental problems. Statistical significant association between parental divorces or the loss of both parents with a history of conviction mentions the important role of parents in transmitting moral and social values to children.
Estimation of State of Charge for Two Types of Lithium-Ion Batteries by Nonlinear Predictive Filter for Electric Vehicles

Estimation of state of charge (SOC) is of great importance for lithium-ion (Li-ion) batteries used in electric vehicles. This paper presents a state of charge estimation method using nonlinear predictive filter (NPF) and evaluates the proposed method on the lithium-ion batteries with different chemistries. Contrary to most conventional filters which usually assume a zero mean white Gaussian process noise, the advantage of NPF is that the process noise in NPF is treated as an unknown model error and determined as a part of the solution without any prior assumption, and it can take any statistical distribution form, which improves the estimation accuracy. In consideration of the model accuracy and computational complexity, a first-order equivalent circuit model is applied to characterize the battery behavior. The experimental test is conducted on the LiCoO 2 and LiFePO 4 battery cells to validate the proposed method. The results show that the NPF method is able to accurately estimate the battery SOC and has good robust performance to the different initial states for both cells. Furthermore, the comparison study between NPF and well-established extended Kalman filter for battery SOC estimation indicates that the proposed NPF method has better estimation accuracy and converges faster.
Rating and Ranking Firms with Fuzzy Expert Systems: The Case of Camuzzi

In this paper we present a real-life application of a fuzzy expert system aimed at rating and ranking firms. Unlike standard DCF models, it integrates financial, strategic and business determinants and processes both quantitative and qualitative variables. Twenty-one value drivers are defined, concerning the target firm (strategic assets in place and expected financial performance), the acquisition (synergies, quality of management) and the sector (intensity of competition, entry barriers). Their combination via “if-then” rules leads to the definition of an output represented by a real number in the interval [0,1]. Such a number expresses the value-generating power of the target firm inclusive of synergies with the bidder (Strategic Enterprise Value). The system may be used for rating and ranking firms operating in the same sector. A regression analysis using hostile takeovers multiples may be employed to translate the score into price. The real-life case refers to Camuzzi (a natural gas distributor), acquired by Enel, the Italian ex monopolist of electric energy.
The Need for Cognition and Critical Thinking Skills and Depressive Symptoms in College Students

The Need for Cognition and Critical Thinking Skills and Depressive Symptoms in College Students by Jill Maschio MS, Walden University, 2009 MBA, American InterContinental University, 2004 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Walden University May 2018 Abstract This dissertation concerns the relationship between the symptomatology of depression and cognition. The purpose of this study was to investigate the assumptions of Beck’s negative cognition theory regarding the relationship between patients’ lack of ability to reason and depression. Beck noticed that people with depression failed to consciouslyThis dissertation concerns the relationship between the symptomatology of depression and cognition. The purpose of this study was to investigate the assumptions of Beck’s negative cognition theory regarding the relationship between patients’ lack of ability to reason and depression. Beck noticed that people with depression failed to consciously examine the basis upon which their negative self-defeating reality is founded. This study examined a relationship between critical thinking skills and the need for cognition (the desire to think about ambiguous information) and levels of depression and education. The participants were 75 postsecondary undergraduate and graduate students from both online and traditional universities. This study used two-way between ANOVAs. The participants completed the Zung Self-Rating Depression scale and the Need for Cognition scale, as well as the Ennis-Weir Critical Thinking Essay test. The findings showed no significant differences in scores between those with symptoms of depression and those without in terms of critical thinking skills and need for cognition. A reanalysis was performed to remove outliers in the data, which resulted in finding significant differences between education level and the need for cognition. These findings may suggest that the participants’ desire to apply effort to thinking about ambiguous information or problems is related to education level. These findings might help promote positive social change by suggesting that other researchers examine the relationship between critical thinking skills and depression to add to this conversation. The Need for Cognition and Critical Thinking Skills and Depressive Symptoms in College Students by Jill Maschio MS, Walden University, 2009 MBA, American InterContinental University, 2004 Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Walden University May 2018
Medical Research Involving Children - Giving Weight to Children's Views

The quality of health care for children depends much on the availability of relevant results from medical research with children as subjects. Yet, because of their vulnerability and assumed incompetence to take part in decision-making, children have often been excluded from taking part in medical research, so as to prevent them from harm. Empirical data on children’s competence to consent to such research used to be rare, but recent developments in this field have created more insights in the myths and realities concerning minor patients’ capacities to decide on medical research participation. Against the background of relevant international, European and domestic legal frameworks concerning the rights of children as participants in medical research, this article goes into instruments such as MacCAT-CR, a semi-structured interview format useable as a competence assessment tool for clinical research involving children. On the basis of this, several recommendations are defined to enhance such research, as these may do sufficient justice to the health interests and the capacities of children, while at the same time supporting researchers and child research participants when facing decisions about pediatric research options.