Miracle-dz/UniFAR-FTUs huggingface dataset:
How does Entrepreneurial Education Influence the Entrepreneurial Intention of College Students: The Moderating and Mediating Effects of Entrepreneurial Alertness

The relation between college students' entrepreneurial intention and college entrepreneurial education has long been concerned. Entrepreneurial alertness is the psychological basis for entrepreneur to identify entrepreneurial opportunities. Entrepreneurial intention and entrepreneurial alertness are two key focuses in entrepreneurship research. It is of great significance to explore and investigate the role of entrepreneurial alertness in arousal process of entrepreneurial intention by entrepreneurial education.However, there are very few researches reported on the relation among entrepreneurial education, entrepreneurial alertness and entrepreneurial intention. Entrepreneurial education was measured by theBenefits from EntrepreneurialEducation Programes(BEEP). By collecting data (N=672) from colleges and universities in Zhejiang and Fujian where entrepreneurship is relatively active in China, empirical study was carried out to investigate the relation among the three variables. The results showed that:entrepreneurial alertness plays a significant mediating and regulating role between entrepreneurial education and entrepreneurial intention. The cultivation of entrepreneurial alertness should be a key purpose of entrepreneurial education. Finally, this paper presents discussion on how to conduct targeted entrepreneurial education in order to guide college students' entrepreneurship more efficiently.
The Effects of Alcohol on Positive Emotion During a Comedy Routine: A Facial Coding Analysis

There is considerable interest in understanding the emotional effects of alcohol. While a great deal of experimental research has focused on alcohol’s ability to relieve negative emotions, there has been far less focus on the effects of alcohol on positive emotions. Further, the available research on positive emotion tends to test alcohol while participants are alone. Yet alcohol is often consumed in social settings, and enhancing social pleasure is consistently identified as being a primary motive for drinking. We aimed to address this gap in the literature by investigating the impact of alcohol on positive emotional experience in a social setting. We used the Facial Action Coding System (FACS) to examine in a large sample the effects of alcohol on response to comedy in a group setting. Five hundred thirteen social drinkers (51.9% female) were assembled into groups of three unacquainted persons and administered either a moderate dose of alcohol, a placebo, or a nonalcohol control beverage. Following beverage consumption, groups listened to a roughly 5-min comedy clip while their facial expressions were video recorded. More than 5 million frames of video were then FACS-coded. Alcohol consumption enhanced enjoyment (Duchenne) smiles—but not nonenjoyment social smiles—and elevated mood ratings. Results provide multimodal evidence supporting the ability of alcohol to enhance positive emotional experience during a comedy routine delivered in a social context. More broadly, this research illustrates the value of studying emotion in a social context using both self-report and behavior-expressive approaches.
Concrete Properties Comparison When Substituting a 25% Cement with Slag from Different Provenances

Concrete consumption greatly exceeds the use of any other material in engineering. This is due to its good properties as a construction material and the availability of its components. Nevertheless, the present worldwide construction increases and the high-energy consumption for cement production means a high environmental impact. On the other hand, one of the main problems in the iron and steel industry is waste generation and byproducts that must be properly processed or reused to promote environmental sustainability. One of these byproducts is steel slag. The cement substitution with slag strategy achieves two goals: raw materials consumption reduction and waste management. In the present work, four different concrete mixtures are evaluated. The 25% cement substitution is carried out with different types of slag. Tests were made to evaluate the advantages and drawbacks of each mixture. Depending on the origin, characteristics, and treatment of the slag, the concrete properties changed. Certain mixtures provided proper concrete properties. Stainless steel slag produced a fluent mortar that reduced water consumption with a slight mechanical strength loss. Mixtures with ground granulated blast furnace slag properties are better than the reference concrete (without slag).
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension

While sophisticated neural-based techniques have been developed in reading comprehension, most approaches model the answer in an independent manner, ignoring its relations with other answer candidates. This problem can be even worse in open-domain scenarios, where candidates from multiple passages should be combined to answer a single question. In this paper, we formulate reading comprehension as an extract-then-select two-stage procedure. We first extract answer candidates from passages, then select the final answer by combining information from all the candidates. Furthermore, we regard candidate extraction as a latent variable and train the two-stage process jointly with reinforcement learning. As a result, our approach has improved the state-of-the-art performance significantly on two challenging open-domain reading comprehension datasets. Further analysis demonstrates the effectiveness of our model components, especially the information fusion of all the candidates and the joint training of the extract-then-select procedure.
Higher Preoperative Plasma Thrombin Potential in Patients Undergoing Surgery for Aortic Stenosis Compared to Surgery for Stable Coronary Artery Disease

Aortic stenosis (AS) and coronary artery disease (CAD) influence the coagulation system, potentially affecting hemostasis during cardiac surgery. Our aim was to evaluate 2 preoperative global hemostasis assays, plasma thrombin potential and thromboelastometry, in patients with severe aortic valve stenosis compared to patients with CAD. A secondary aim was to test whether the assays were associated with postoperative bleeding. Calibrated automated thrombogram (CAT) in platelet-poor plasma and rotational thromboelastometry (ROTEM) in whole blood were analyzed in patients scheduled for elective surgery due to severe AS (n = 103) and stable CAD (n = 68). Patients with AS displayed higher plasma thrombin potential, both thrombin peak with median 252 nmol/L (interquartile range 187-319) and endogenous thrombin potential (ETP) with median 1552 nmol/L/min (interquartile range 1340-1838), when compared to patients with CAD where thrombin peak was median 174 nmol/L (interquartile range 147-229) and ETP median 1247 nmol/L/min (interquartile range 1034-1448; both P < .001). Differences persisted after adjustment for age, gender, comorbidity, and antithrombotic treatment. Differences observed in thromboelastometry between the groups did not persist after adjustment for baseline characteristics. Bleeding amount showed no relationship with plasma thrombin potential but weakly to thromboelastometry (R2 = .064, P = .001). Patients with AS exhibited preoperatively increased plasma thrombin potential compared to patients with CAD. Plasma thrombin potential was not predictive for postoperative bleeding in patients scheduled for elective surgery.
Influence of density and temperature on the microscopic structure and the segmental relaxation of polybutadiene.

We investigate the influence of temperature and density on the local structure and the dynamics of polybutadiene by controlling both hydrostatic pressure and temperature in polarized neutron diffraction experiments on deuterated polybutadiene and in inelastic incoherent scattering experiments on protonated polybutadiene. We observe that the static structure factor S(Q) does not change along macroscopic isochores. This behavior is contrary to the relaxations observed on the nanosecond and picosecond time scales and viewed by the dynamic incoherent scattering law S(Q,omega), which differ strongly along the same thermodynamic path. We conclude that the static behavior, i.e., S(Q), is dominated by macroscopic density changes, similar to the vibrational excitations in the meV range. However, the relaxation dynamics is more sensitive to thermal energy changes. This is confirmed by the finding that lines of identical relaxation behavior (in time, shape, and Q dependence), isochrones on the 10(-9) sec time scale, clearly cross the constant density lines in the (P,T) plane. Concerning S(Q), we can reasonably relate the variation of the main-peak position to the average neighbor chain distance and deduce crude microscopic thermal expansion and compressibility coefficients. In the low-Q regime, the observed pressure and temperature variation of S(Q) exceeds the compressibility contribution and suggests the existence of additional scattering, which might originate from structural correlations arising at higher temperature and low pressure.
Simulation of Au and Mo Nanoparticles Effects

I report a theoretical study of the behavior of Au nanoparticles anchored onto a Si (111) substrate and the evolution of the combined structure with annealing and oxidation. By simulation of the data which is noticed in reference [1] and using the Matlab program with curve fitting to conclude Au nanoparticles, formed by annealing a Au film, appear upon a growing layer of SiO2 during oxidation at high temperature. Deposition of molybdenum oxide Mo (3d) on Ag (111), The surface concentration of Mo which is calculated from the XP peak area using methods which described [2,3]respectively, where we discuss these results by using a curve fitting method that is a theoretical method to test the system. Gold, the archetypal noble metal, is usually associated with an inhibition of surface reactivity by site blocking. In addition, we show that the simulation of this study extends to analysis the on Cu (100) surfaces a gold adlayer can actually increase the extent of reaction with the substrate. We note that the theoretical results are agreeted with the experimental results and this work expanded the ranges of temperature and binding energy with intensity in the case of Au/Sio2 and the effects on the binding energy and concentration with increasing time to limit range for Mo/Ag(111) and the structure of Au/Cu(100).
Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

The function of a protein is of great interest in the cutting-edge research of biological mechanisms, disease development and drug/target discovery. Besides experimental explorations, a variety of computational methods have been designed to predict protein function. Among these in silico methods, the prediction of BLAST is based on protein sequence similarity, while that of machine learning is also based on the sequence, but without the consideration of their similarity. This unique characteristic of machine learning makes it a good complement to BLAST and many other approaches in predicting the function of remotely relevant proteins and the homologous proteins of distinct function. However, the identification accuracies of these in silico methods and their false discovery rate have not yet been assessed so far, which greatly limits the usage of these algorithms. Herein, a comprehensive comparison of the performances among four popular prediction algorithms (BLAST, SVM, PNN and KNN) was conducted. In particular, the performance of these methods was systematically assessed by four standard statistical indexes based on the independent test datasets of 93 functional protein families defined by UniProtKB keywords. Moreover, the false discovery rates of these algorithms were evaluated by scanning the genomes of four representative model organisms (Homo sapiens, Arabidopsis thaliana, Saccharomyces cerevisiae and Mycobacterium tuberculosis). As a result, the substantially higher sensitivity of SVM and BLAST was observed compared with that of PNN and KNN. However, the machine learning algorithms (PNN, KNN and SVM) were found capable of substantially reducing the false discovery rate (SVM < PNN < KNN). In sum, this study comprehensively assessed the performance of four popular algorithms applied to protein function prediction, which could facilitate the selection of the most appropriate method in the related biomedical research.
The novel ZIP4 regulation and its role in ovarian cancer

Our RNAseq analyses revealed that ZIP4 is a top gene up-regulated in more aggressive ovarian cancer cells. ZIP4's role in cancer stem cells has not been reported in any type of cancer. In addition, the role and regulation of ZIP4, a zinc transporter, have been studied in the context of extracellular zinc transporting. Factors other than zinc with ZIP4 regulatory effects are essentially unknown. ZIP4 expression and its regulation in epithelial ovarian cancer cells was assessed by immunoblotting, quantitative PCR, or immunohistochemistry staining in human ovarian tissues. Cancer stem cell-related activities were examined to evaluate the role of ZIP4 in human high-grade serous ovarian cancer cells in vitro and in vivo. RNAi and CRISPR techniques were used to knockdown or knockout ZIP4 and related genes. Ovarian cancer tissues overexpressed ZIP4 when compared with normal and benign tissues. ZIP4 knockout significantly reduced several cancer stem cell-related activities in EOC cells, including proliferation, anoikis-resistance, colony-formation, spheroid-formation, drug-resistance, and side-population in vitro. ZIP4-expressing side-population highly expressed known CSC markers ALDH1 and OCT4. ZIP4 knockout dramatically reduced tumorigenesis and ZIP4 overexpression increased tumorigenesis in vivo. In addition, the ZIP4-expressing side-population had the tumor initiating activity. Moreover, the oncolipid lysophosphatic acid effectively up-regulated ZIP4 expression via the nuclear receptor peroxisome proliferator-activated receptor gamma and lysophosphatic acid 's promoting effects in cancer stem cell-related activities in HGSOC cells was at least partially mediated by ZIP4 in an extracellular zinc-independent manner. Our critical data imply that ZIP4 is a new and important cancer stem cell regulator in ovarian cancer. Our data also provide an innovative interpretation for the apparent disconnection between low levels of zinc and up-regulation of ZIP4 in ovarian cancer tissues.
Increased Vaccination Coverage among Adolescents and Young Adults in the District of Palermo as a Result of a Public Health Strategy to Counteract an ‘Epidemic Panic’

During the summer of 2016 four cases of invasive meningococcal disease in rapid succession among young adults in the district of Palermo, Italy, resulting in one death, were widely reported by local and national mass media. The resultant ‘epidemic panic’ among the general population overloaded the vaccination units of the Palermo district over the following months. Strategies implemented by the Sicilian and local public health authorities to counteract ‘meningitis fear’ included the following: (a) extension of active and free-of-charge anti-meningococcal tetravalent vaccination from age class 12–18 to 12–30 years old; (b) implementation of vaccination units during normal clinic hours in rooms tailored for vaccine administration; (c) development of informative institutional tools and timely communication throughout local mass media to reassure the general population. In 2016, an increase in the anti-meningococcal coverage was observed in the Palermo district (+18% for 16-year-olds and +14% for 18-year-olds) and at the regional level (+11.2% and +13.5%, respectively). Concurrent catch-up of other recommended vaccinations for age (diphtheria-tetanus-pertussis-poliomyelitis and papillomavirus) resulted in a further increase of administered doses. The fear of meningitis, managed by the Sicilian public health authorities, had positive impacts in terms of prevention. In particular, the communication strategies that were adopted contributed to educating Sicilian young adults about vaccination issues.
Applying Genetic Programming with Similar Bug Fix Information to Automatic Fault Repair

Owing to the high complexity of recent software products, developers cannot avoid major/minor mistakes, and software bugs are generated during the software development process. When developers manually modify a program source code using bug descriptions to fix bugs, their daily workloads and costs increase. Therefore, we need a way to reduce their workloads and costs. In this paper, we propose a novel automatic fault repair method by using similar bug fix information based on genetic programming (GP). First, we searched for similar buggy source codes related to the new given buggy code, and then we searched for a fixed the buggy code related to the most similar source code. Next, we transformed the fixed code into abstract syntax trees for applying GP and generated the candidate program patches. In this step, we verified the candidate patches by using a fitness function based on given test cases to determine whether the patch was valid or not. Finally, we produced program patches to fix the new given buggy code.
The natural alpha angle of the femoral headneck junction: A CROSS‐SECTIONAL CT STUDY IN 1312 FEMURS

Aims Asphericity of the femoral head‐neck junction is common in cam‐type femoroacetabular impingement (FAI) and usually quantified using the alpha angle on radiographs or MRI. The aim of this study was to determine the natural alpha angle in a large cohort of patients by continuous circumferential analysis with CT. Methods CT scans of 1312 femurs of 656 patients were analyzed in this cross‐sectional study. There were 362 men and 294 women. Their mean age was 61.2 years (18 to 93). All scans had been performed for reasons other than hip disease. Digital circumferential analysis allowed continuous determination of the alpha angle around the entire head‐neck junction. All statistical tests were conducted two‐sided; a p‐value < 0.05 was considered statistically significant. Results The mean maximum alpha angle for the cohort was 59.0° (SD 9.4). The maximum was located anterosuperiorly at 01:36 on the clock face, with two additional maxima of asphericity at the posterior and inferior head‐neck junction. The mean alpha angle was significantly larger in men (59.4°, SD 8.0) compared with women (53.5°, SD 7.4°; p = 0.0005), and in Caucasians (60.7°, SD 9.0°) compared with Africans (56.3°, SD 8.0; p = 0.007) and Asians (50.8°, SD 7.2; p = 0.0005). The alpha angle showed a weak positive correlation with age (p < 0.05). If measured at commonly used planes of the radially reconstructed CT or MRI, the alpha angle was largely underestimated; measurement at the 01:30 and 02:00 positions showed a mean underestimation of 4° and 6°, respectively. Conclusion This study provides important data on the normal alpha angle dependent on age, gender, and ethnic origin. The normal alpha angle in men is > 55°, and this should be borne in mind when making a diagnosis of cam‐type morphology. Cite this article: Bone Joint J 2018;100‐B:570–8.
Effect of Soil and Water Conservation (SWC) Measures on Soil Nutrient and Moisture Status, a Case of Two Selected Watersheds

The study was conducted in Guba-Lafto Woreda of North Wollo to find out the effect of stone faced soil bund on soil macronutrients (N, P, and K), organic carbon content, soil pH, cation exchange capacity (CEC), and soil moisture status. From two case study kebeles, two watersheds were purposively selected representing Dega (highland) and Woina dega (midland) agro ecological zones. Sixteen composite surface soil samples (0 to 20 cm depth) were collected from selected watersheds. A statistical paired samples t-test showed that, mean value of some soil parameters were significantly different at t and p-value between conserved and non-conserved farmlands. These indicated that, conservation practices reduce runoff, and helps keep nutrients on the field. The study also revealed that stone faced soil bund is essential for soil moisture retentions through reducing run-off velocity, conserving and storing water, and then increasing infiltration and percolation rates. Therefore, implementation of soil and water conservation (SWC) practices should be encouraged by different governmental and non-governmental sectors of Ethiopia, and it should be followed up by other inputs like application of organic fertilizers. Key words: Soil and water conservation, soil and water conservation measures, stone faced soil bund, soil nutrients, soil moisture.
Causal Reasoning for Algorithmic Fairness

In this work, we argue for the importance of causal reasoning in creating fair algorithms for decision making. We give a review of existing approaches to fairness, describe work in causality necessary for the understanding of causal approaches, argue why causality is necessary for any approach that wishes to be fair, and give a detailed analysis of the many recent approaches to causality-based fairness.
The Influence of Emotion on Inter-Temporal Choice: Based on Evaluation Tendency Framework Theory

Emotion is an important influencing factor in inter-temporal choice. The evaluation tendency framework theory explains the impact of different specific emotions on the inter-temporal choice overriding the valence. It is also considered as the important basic theory of a specific emotional paradigm. The thesis summarizes the formulation of this theory, the connotation, the assumption of neural mechanisms, and the application of the theory in inter-temporal choice research. It is pointed out that the theory can extend its research in terms of the specificity of emotion, the influence of time perception and so on by using neurocognitive science, and further explore the influence of different specific emotions on different inter-temporal choice and their internal psychological mechanisms.
Looking Inside and Outside of Mentoring: Effects on New Teachers’ Organizational Commitment

This article puts forth a multidimensional framework for empirically testing the effects of teacher mentoring, focusing on interactions between formal mentors and novice teachers and the setting in which these interactions occur. Analyzing survey and administrative data from Chicago Public Schools with a multilevel propensity-score weighting approach, our analyses identifies the combination of stronger leadership and high-quality mentoring that features at least biweekly mentor-mentee interactions, comprehensive content, and opportunities for engagement with teaching practice as the most effective for building teacher organizational commitment. The results also reveal that stronger principal leadership may protect teachers from lack of access to any mentor or to high-quality mentoring while weaker leadership may diminish the potential benefits of high-quality mentoring.
Portuguese Named Entity Recognition using Conditional Random Fields and Local Grammars

Named Entity Recognition involves automatically identifying and classifying entities such as persons, places, and organizations, and it is a very important task in Information Extraction. Conditional Random Fields is a probabilistic method for structured prediction, which can be used in this task. This paper presents the use of Conditional Random Fields for Named Entity Recognition in Portuguese texts considering the term classiﬁcation obtained by a Local Grammar as an additional informed feature. Local grammars are handmade rules to identify named entities within the text. The Golden Collection of the First and Second HAREM considered as a reference for Named Entity Recognition systems in Portuguese were used as training and test sets respectively. The results obtained outperform the results of competitive systems reported in the literature.