Miracle-dz/UniFAR-FTUs huggingface dataset:
Are Entrepreneurial Cognitions Universal? Assessing Entrepreneurial Cognitions across Cultures

In this study we examine three research questions concerned with entrepreneurial cognition and culture: (1) Do entrepreneurs have cognitions distinct from those of other business people? (2) To what extent are entrepreneurial cognitions universal? and (3) To what extent do entrepreneurial cognitions differ by national culture? These questions were investigated in an exploratory study using data collected from 990 respondents in eleven countries. We find, in answer to question one, that individuals who possess “professional entrepreneurial cognitions” do indeed have cognitions that are distinct from business non-entrepreneurs. In answer to question two, we report further confirmation of a universal culture of entrepreneurship. And in answer to question three, we find (a) observed differences on eight of the ten proposed cognition constructs, and (b) that the pattern of country representation within an empirically developed set of entrepreneurial archetypes does indeed differ among countries. Our results suggest increasing credibility for the cognitive explanation of entrepreneurial phenomena in the cross-cultural setting.
#NeverTrump: Why Republican members of Congress refused to support their party’s nominee in the 2016 presidential election

In an election characterized by countless headlines, the refusal of Republicans to support their party’s nominee was a constant topic of discussion in 2016. Our paper looks to explain why Republican members of Congress joined the so-called #NeverTrump movement. In the first part, we document the varied—and often contradictory—explanations of the #NeverTrump movement offered by journalists, pundits, and politicians during the campaign. We then categorize these popular explanations into four theoretical categories: policy preferences, identity, electoral motivations, and establishment dynamics. In the second part, we test the varied claims. We believe two findings stand out and have broader implications for American politics. First, despite the popular belief that members of Congress are single-minded in their pursuit of reelection, we found that a lawmaker’s religion and sex—both in the identity category—had the largest effects on the decision to join the #NeverTrump movement. Second, the results show that establishment Republicans were more likely to support Donald Trump’s candidacy. Notably, the direction of this effect is inconsistent with popular explanations of the #NeverTrump movement but consistent with a range of academic studies.
A dynamic theory of social failure in isolated communities

We introduce a statistical model for dynamic network analysis and we apply it to Sampson’s longitudinal collection of the sociometric relation trust, among 18 novices in a monastery (Sampson, 1968). A preliminary analysis offers a suggestive characterization of the social dynamics that led to the collapse of the congregation—purportedly over religious differences. Such a characterization provides the elements for a theory of failure in isolated communities that is rooted in latent aspects of the dynamics of social interaction. Namely, the existence of tight informal groups as a precondition, the progressive polarization of such groups as a signal of increasing differences, and the emergence of an interstitial group of individuals over time as a signal of imminent conflict.
DYNAMICAL PROPERTIES OF SMALL POLARONS

On the basis of the two-site polaron problem, which we solve by exact diagonalization, we analyse the spectral properties of polaronic systems in view of discerning localized from itinerant polarons and bound polaron pairs from an ensemble of single polarons. The corresponding experimental techniques for that concern photoemission and inverse photoemission spectroscopy. The evolution of the density of states as a function of concentration of charge carriers and strength of the electron-phonon interaction clearly shows the opening up of a gap between single polaronic and bi-polaronic states, in analogy to the Hubbard problem for strongly correlated electron systems. The crossover regime between adiabatic and anti-adiabatic small polarons is triggered by two characteristic time scales: the renormalized electron hopping rate and the renormalized vibrational frequency becoming equal. This crossover regime is then characterized by temporarily alternating self- localization and delocalization of the charge carriers which is accompanied by phase slips in the charge and molecular deformation oscillations and ultimately leads to a dephasing between these two dynamical components of the polaron problem. We visualize these features by a study of the temporal evolution of the charge redistribution and the change in molecular deformations. The spectral and dynamical properties of polarons discussed here are beyond the applicability of the standard Lang Firsov approach to the polaron problem.
How Chinese and Caucasian Canadians Conceptualize Creativity: The Mediating Role of Uncertainty Avoidance

The current study examines cultural value mediators of the relationship between culture and the relative weight placed on novelty versus usefulness when conceptualizing creativity. With a sample of Chinese and Caucasian Canadian undergraduate students, we found that uncertainty avoidance, but not power distance or individualism/collectivism, mediated the relationship between culture and preferences toward the novel versus useful dimensions of creativity. We replicated the effect of uncertainty avoidance in a second study with Chinese Canadians’ bicultural identity integration predicting focus on novelty versus usefulness in the predicted direction. We advance prior research by isolating a cultural value mechanism driving cultural variation in the conceptualization of creativity when considering novelty versus usefulness. We discuss theoretical contributions and implications for future research addressing additional creativity domains, situated cognition, and norm salience.
Regression trees for longitudinal and multiresponse data

Previous algorithms for constructing regression tree models for longitudinal and multiresponse data have mostly followed the CART approach. Consequently, they inherit the same selection biases and computational difficulties as CART. We propose an alternative, based on the GUIDE approach, that treats each longitudinal data series as a curve and uses chi-squared tests of the residual curve patterns to select a variable to split each node of the tree. Besides being unbiased, the method is applicable to data with fixed and random time points and with missing values in the response or predictor variables. Simulation results comparing its mean squared prediction error with that of MVPART are given, as well as examples comparing it with standard linear mixed effects and generalized estimating equation models. Conditions for asymptotic consistency of regression tree function estimates are also given.
Kullback-Leibler divergence constrained distributionally robust optimization

In this paper we study distributionally robust optimization (DRO) problems where the ambiguity set of the probability distribution is defined by the Kullback-Leibler (KL) divergence. We consider DRO problems where the ambiguity is in the objective function, which takes a form of an expectation, and show that the resulted minimax DRO problems can be formulated as a one-layer convex minimization problem. We also consider DRO problems where the ambiguity is in the constraint. We show that ambiguous expectation-constrained programs may be reformulated as a one-layer convex optimization problem that takes the form of the Benstein approximation of Nemirovski and Shapiro (2006). We further consider distributionally robust probabilistic programs. We show that the optimal solution of a probability minimization problem is also optimal for the distributionally robust version of the same problem, and also show that the ambiguous chance-constrained programs (CCPs) may be reformulated as the original CCP with an adjusted confidence level. A number of examples and special cases are also discussed in the paper to show that the reformulated problems may take simple forms that can be solved easily. The main contribution of the paper is to show that the KL divergence constrained DRO problems are often of the same complexity as their original stochastic programming problems and, thus, KL divergence appears a good candidate in modeling distribution ambiguities in mathematical programming.
Effect of Conflict on Dietary Energy Supply: Evidence from Cote d’Ivoire

In this paper we estimate the causal effects of conflict on dietary energy supply in Cote d’Ivoire. To identify the true impact of conflict, we use (1) pre-war and post-war household data, (2) the specific counts of conflict events across departments and (3) self-reported victimization indicators. We find robust and statistically significant evidence of households in the worst-hit conflict areas and individuals who are the direct victims of the conflict having lower dietary energy supply. The propensity score matching estimates do not alter the main findings. Other robustness checks including subsamples of households with children supports the existing findings.
Undergraduate students’ perceptions of the importance of English in the tourism and hospitality industry

ABSTRACT Educators commonly promote English as beneficial to future employability, but students’ perceptions of the importance of English in the tourism and hospitality industry are often not considered. It is important that students’ perceptions are examined as gaining better insights could allow more positive attitudes to both English and the industry being fostered. This study investigated the perceptions of students (n = 71) enrolled at a university in Japan and found no statistically significant differences based on gender, country of origin, year of study, work experience, or future work intentions. However, it was indicated that communicative competence, confidence, English listening, and English speaking were the factors perceived to be most important by the students. Consequently, it is suggested that tourism and hospitality courses should incorporate components that focus mainly on these skills, but not to the detriment of English reading and writing, which were also perceived as important.
Race, Emotional Reliance, and Mental Health

Prior research shows that emotional reliance, an indicator of interpersonal dependence, is an important psychosocial risk factor for mental health problems. However, few have considered black-white differences in emotional reliance or the role it may play in racial variations in mental health outcomes. Using a community epidemiologic sample of adults in Nashville, Tennessee, the current study builds on the small literature on emotional reliance by exploring three aims. First, we evaluate racial differences in emotional reliance. Second, we examine the association between emotional reliance and mental health. Last, we assess the relationships among race, emotional reliance, and mental health. Findings reveal that emotional reliance is generally associated with higher depressive symptoms, more anxiety symptoms, and lower levels of life satisfaction. However, the magnitude of these relationships is greater for blacks compared to whites. We discuss the implications of these findings and areas of promising future research.
Functional Characterizations of Chemosensory Proteins of the Alfalfa Plant Bug Adelphocoris lineolatus Indicate Their Involvement in Host Recognition

Insect chemosensory proteins (CSPs) have been proposed to capture and transport hydrophobic chemicals from air to olfactory receptors in the lymph of antennal chemosensilla. They may represent a new class of soluble carrier protein involved in insect chemoreception. However, their specific functional roles in insect chemoreception have not been fully elucidated. In this study, we report for the first time three novel CSP genes (AlinCSP1-3) of the alfalfa plant bug Adelphocoris lineolatus (Goeze) by screening the antennal cDNA library. The qRT-PCR examinations of the transcript levels revealed that all three genes (AlinCSP1-3) are mainly expressed in the antennae. Interestingly, these CSP genes AlinCSP1-3 are also highly expressed in the 5th instar nymphs, suggesting a proposed function of these CSP proteins (AlinCSP1-3) in the olfactory reception and in maintaining particular life activities into the adult stage. Using bacterial expression system, the three CSP proteins were expressed and purified. For the first time we characterized the types of sensilla in the antennae of the plant bug using scanning electron microscopy (SEM). Immunocytochemistry analysis indicated that the CSP proteins were expressed in the pheromone-sensitive sensilla trichodea and general odorant-sensitive sensilla basiconica, providing further evidence of their involvement in chemoreception. The antennal activity of 55 host-related semiochemicals and sex pheromone compounds in the host location and mate selection behavior of A. lineolatus was investigated using electroantennogram (EAG), and the binding affinities of these chemicals to the three CSPs (AlinCSP1-3) were measured using fluorescent binding assays. The results showed several host-related semiochemicals, (Z)-3-hexen-1-ol, (E)-2-hexen-1-al and valeraldehyde, have a high binding affinity with AlinCSP1-3 and can elicit significant high EAG responses of A. lineolatus antennae. Our studies indicate the three antennae-biased CSPs may mediate host recognition in the alfalfa plant bug A. lineolatus.
A search for optical polarization from the narrow-line Seyfert 1 galaxy RE J1034+396

We present spectropolarimetry data on RE J1034+396, an ultra-soft X-ray narrow-line Seyfert 1 galaxy, and find an upper limit of similar to 0.4 to the linear polarization in the optical band. This suggests that there is no synchrotron emission in this AGN, and thus it is unlikely that RE J1034+396 is related to BL Lac objects. Furthermore, any other polarization arising from transmission through dust, or reflection from dust and electrons, must be cancelled out by geometrical effects or diluted to a high degree by unpolarized radiation.
Genetic algorithm can optimize hierarchical menus

Hierarchical menus are now ubiquitous. The performance of the menu depends on many factors: structure, layout, colors and so on. There has been extensive research on novel menus, but there has been little work on improving the performance by optimizing the menu's structure. This paper proposes an algorithm based on the genetic algorithm (GA) for optimizing the performance of menus. The algorithm aims to minimize the average selection time of menu items by considering movement and decision time. We show results on a static hierarchical menu of a cellular phone where a small screen and limited input device are assumed. Our work makes several contributions: a novel mathematical optimization model for hierarchical menus; novel optimization method based on the genetic algorithm (GA).
RTVP-1 promotes mesenchymal transformation of glioma via a STAT-3/IL-6-dependent positive feedback loop

Glioblastomas (GBMs), the most aggressive primary brain tumors, exhibit increased invasiveness and resistance to anti-tumor treatments. We explored the role of RTVP-1, a glioma-associated protein that promotes glioma cell migration, in the mesenchymal transformation of GBM. Analysis of The Cancer Genome Atlas (TCGA) demonstrated that RTVP-1 expression was higher in mesenchymal GBM and predicted tumor recurrence and poor clinical outcome. ChiP analysis revealed that the RTVP-1 promoter binds STAT3 and C/EBPβ, two master transcription factors that regulate mesenchymal transformation of GBM. In addition, IL-6 induced RTVP-1 expression in a STAT3-dependent manner. RTVP-1 increased the migration and mesenchymal transformation of glioma cells. Similarly, overexpression of RTVP-1 in human neural stem cells induced mesenchymal differentiation, whereas silencing of RTVP-1 in glioma stem cells (GSCs) decreased the mesenchymal transformation and stemness of these cells. Silencing of RTVP-1 also increased the survival of mice bearing GSC-derived xenografts. Using gene array analysis of RTVP-1 silenced glioma cells we identified IL-6 as a mediator of RTVP-1 effects on the mesenchymal transformation and migration of GSCs, therefore acting in a positive feedback loop by upregulating RTVP-1 expression via the STAT3 pathway. Collectively, these results implicate RTVP-1 as a novel prognostic marker and therapeutic target in GBM.
On optimal rule discovery

In machine learning and data mining, heuristic and association rules are two dominant schemes for rule discovery. Heuristic rule discovery usually produces a small set of accurate rules, but fails to find many globally optimal rules. Association rule discovery generates all rules satisfying some constraints, but yields too many rules and is infeasible when the minimum support is small. Here, we present a unified framework for the discovery of a family of optimal rule sets and characterize the relationships with other rule-discovery schemes such as nonredundant association rule discovery. We theoretically and empirically show that optimal rule discovery is significantly more efficient than association rule discovery independent of data structure and implementation. Optimal rule discovery is an efficient alternative to association rule discovery, especially when the minimum support is low.
Serotonin transporter gene polymorphism (5-HTTLPR) and emotional response to auditory hallucinations in schizophrenia.

The serotonin transporter (5-HTT) has a crucial function in the regulation of serotonin (5-HT) reuptake in presynaptic neurons. 5-HT is a major modulator of emotional behaviour and circadian rhythms. In addition to its neurotransmitter role, it is also an important regulator of morphogenetic activities during early brain development as well as during adult neurogenesis and plasticity (Murphy et al., 2001).
Performance comparison of transport control protocols over mobile ad hoc networks

In mobile ad hoc networks, researches have been concentrated on the implementations and performance comparisons of routing protocols. Little attention was paid to the performance of the end-to-end TCP connection. We study the route breakages caused by mobility and their effects on the performance in different TCP implementations (e.g. Tahoe, Reno, NewReno and Sack). Our performance simulation shows that current TCP implementations can not guarantee a stable performance because they are impossible to distinguish a packet loss caused by congestion or by route breakage. A new metric, weighted route length is introduced in the comparison of TCP performance in the mobile ad hoc network. We demonstrate that TCP Sack generally performs better than Reno, NewReno and Tahoe. The effects of interactions among routing, MAC and TCP protocol are also discussed. This paper presents the simulation results of four TCP implementations and provides comparisons based on some important performance metrics (throughput, goodput, transfer time) and multimedia QoS measurement (average packet delay).
Imitation of Dynamic Walking With BSN for Humanoid Robot

Humanoid robots have been used in a wide range of applications including entertainment, healthcare, and assistive living. In these applications, the robots are expected to perform a range of natural body motions, which can be either preprogrammed or learnt from human demonstration. This paper proposes a strategy for imitating dynamic walking gait for a humanoid robot by formulating the problem as an optimization process. The human motion data are recorded with an inertial sensor-based motion tracking system (Biomotion+). Joint angle trajectories are obtained from the transformation of the estimated posture. Key locomotion frames corresponding to gait events are chosen from the trajectories. Due to differences in joint structures of the human and robot, the joint angles at these frames need to be optimized to satisfy the physical constraints of the robot while preserving robot stability. Interpolation among the optimized angles is needed to generate continuous angle trajectories. The method is validated using a NAO humanoid robot, with results demonstrating the effectiveness of the proposed strategy for dynamic walking.
EFFECT OF NATURE OF SCIENCE ACTIVITIES ON NATURE OF SCIENCE AND SCIENTIFIC EPISTEMOLOGICAL BELIEFS OF PRE-SERVICE PRESCHOOL TEACHERS

The objective of the present study is to research the effect of nature of science instruction based on direct reflective approach on the views of pre-service preschool teachers on nature of science and their scientific epistemological beliefs. The study was conducted with 38 Firat University, Faculty of Education Preschool Teaching Department senior students. The study was conducted with seven activities that were used in previous studies. Views of Nature of Science Questionnaire (VNOS) and Scientific Epistemological Beliefs Scale were utilized as data collection tools. Data was collected by applying the scales before and after the activities. Data collected via the Views of Nature of Science Questionnaire were digitized by assigning 3.5 points for scientifically adequate explanations, 1 point for partially adequate scientific explanations, and 0 point for non-scientific explanations and then assessed based on these scores. SPSS software package was used to analyze quantitative data and required analyses were conducted. It was determined that pre-service teachers had a poor understanding on the nature of science before the applications were conducted. Based on study results, it was determined that most of the illusions of the pre-service teachers on the nature of science were eliminated at the end of the application that entailed direct reflective approach activities. It was also found that beliefs of pre-service teachers on epistemological structure of science improved after the application.
Effects of diaphragmatic control on the assessment of sniff nasal inspiratory pressure and maximum relaxation rate

OBJECTIVE: To assess the influence of diaphragmatic activation control (diaphC) on Sniff Nasal-Inspiratory Pressure (SNIP) and Maximum Relaxation Rate of inspiratory muscles (MRR) in healthy subjects. METHOD: Twenty subjects (9 male; age: 23 (SD=2.9) years; BMI: 23.8 (SD=3) kg/m2; FEV1/FVC: 0.9 (SD=0.1)] performed 5 sniff maneuvers in two different moments: with or without instruction on diaphC. Before the first maneuver, a brief explanation was given to the subjects on how to perform the sniff test. For sniff test with diaphC, subjects were instructed to perform intense diaphragm activation. The best SNIP and MRR values were used for analysis. MRR was calculated as the ratio of first derivative of pressure over time (dP/dtmax) and were normalized by dividing it by peak pressure (SNIP) from the same maneuver. RESULTS: SNIP values were significantly different in maneuvers with and without diaphC [without diaphC: -100 (SD=27.1) cmH2O/ with diaphC: -72.8 (SD=22.3) cmH2O; p<0.0001], normalized MRR values were not statistically different [without diaphC: -9.7 (SD=2.6); with diaphC: -8.9 (SD=1.5); p=0.19]. Without diaphC, 40% of the sample did not reach the appropriate sniff criteria found in the literature. CONCLUSION: Diaphragmatic control performed during SNIP test influences obtained inspiratory pressure, being lower when diaphC is performed. However, there was no influence on normalized MRR.