Miracle-dz/UniFAR-FTUs huggingface dataset:
Repair or accommodation? Split antecedent ellipsis and the limits of repair

We begin from the assumption that the grammar requires syntactic matching between an elided verb phrase (VP) and its antecedent. When a fully matching antecedent cannot be found, the antecedent will be repaired if there is evidence for the repair, only a few operations are needed, and the repair reverses a natural speech error. This view correctly predicts that acceptability judgements are inversely correlated with the degree of difficulty of the repair (Arregui et al. 2006; Frazier 2013) and lower when a repair is required than when it is not (Kim & Runner 2018; Clifton et al. 2019), for example. Split antecedent ellipsis looks like a proto-typical case of repair since by definition no matching antecedent is available. It will be argued, however, that split antecedent ellipsis does not involve repair. The results of several experiments show that split antecedent ellipsis does not exhibit the hallmarks of repair. Rather it may involve ordinary accommodation. This raises the question of when the processor repairs an input and when it merely accommodates an antecedent of the appropriate type. We suggest that repair to a grammatical form is unavailable for split antecedent ellipsis because syntactic representation is only reliably available for the last independent clause.
THE EFFECTIVENESS OF MUSIC THERAPY INTERVENTIONS WITH PERSONS OF CONCERN: AN INTEGRATIVE REVIEW

OF THESIS THE EFFECTIVENESS OF MUSIC THERAPY INTERVENTIONS WITH PERSONS OF CONCERN: AN INTEGRATIVE REVIEW Immigrants, refugees, asylum seekers, internally displaced persons, and stateless persons, collectively known as “persons of concern,” often have unmet mental health and wellness needs as a result of trauma. With a diverse variety of interventions and approaches, the use of music therapy has the potential to meet the needs of persons of concern. In the present study, the researcher conducted an integrative review to examine the use of music therapy with persons of concern. After conducting a hand-search of music therapy journals and an advanced keyword search through internet databases, the researcher found 17 studies that met inclusion criteria. There were ten studies in which participants were immigrants, six studies in which participants were refugees or asylum seekers, and one study in which participants were displaced persons. Refugees’ countries of origin were: Azerbaijan, Cambodia, Chile, Democratic Republic of Congo, Ethiopia, Iran, Liberia, North Korea, Rwanda, Sierra Leone, Sudan, and Vietnam. Immigrants’ countries of origin were: China, Haiti, India, Korea, Latin America, Malaysia, Mexico, Romania, Russia, and Vietnam. Interventions used in the studies were (in order of frequency) singing, songwriting, instrument play, improvisation, lyric analysis, music listening, music imagery, and music-based relaxation. The needs of persons of concern, music therapy interventions, the rigor and quality of music therapy research, and implications for future clinical practice are discussed.
Validation and Analysis of primary atomization of turbulent liquid jet in crossflow simulations

This paper presents the results from direct numerical simulations of the primary atomization of a turbulent liquid jet injected into liquid crossflow. The simulations are performed for an experimentally analyzed configuration of Brown and McDonell (2006, "Near Field Behavior of a Liquid Jet in a Crossflow ", ILASS Americas, 19th Annual Conference on Liquid Atomization and Spray Systems). The turbulent liquid jet (q = 6.6, Re = 14 000, We = 2178) is injected into a subsonic gaseous crossflow (Re = 570 000, We = 330). The liquid/gas interface is captured using a coupled level set volume of fluid (CLSVOF) method. The jet penetration obtained from the simulations show good agreement with the experimental correlations and also to the findings from the literature. Two breakup mechanisms are observed: column breakup mode in which waves on the windward side of the jet propagate, roll up and form bag-like structures until they breakup; and ligament breakup mode caused by the corrugations of the liquid core surface forming thin ligaments on the liquid jet sides that subsequently breakup into droplets. Analysis of the crossflow velocity component of the liquid packets from the simulation shows that a number of liquid packets exist in the domain whose velocities are same as that of the gaseous crossflow.
The Scale on COmmunity care PEreceptions (SCOPE) for nursing students

The aim of this study was to develop a valid instrument to measure student nurses' perceptions of community care (SCOPE). DeVellis' staged model for instrument development and validation was used. Scale construction of SCOPE was based on existing literature. Evaluation of its psychometric properties included exploratory factor analysis and reliability analysis. After pilot-testing, 1062 bachelor nursing students from six institutions in the Netherlands (response rate 81%) took part in the study. SCOPE is a 35-item scale containing: background variables, 11 measuring the affective component, 5 measuring community care perception as a placement, 17 as a future profession, and 2 on the reasons underlying student preference. Principal axis factoring yielded two factors in the affective component scale reflecting ‘enjoyment’ and ‘utility’, two in the placement scale reflecting ‘learning possibilities’ and ‘personal satisfaction’, and four in the profession scale: ‘professional development’, ‘collaboration’, ‘caregiving’, and ‘complexity and workload’. Cronbach's α of the complete scale was 0.892 and of the subscales 0.862, 0.696, and 0.810 respectively. SCOPE is a psychometrically sound instrument for measuring students' perceptions of community care. By determining these perceptions, it becomes possible to positively influence them with targeted curriculum redesign, eventually contributing to decreasing the workforce shortage in community nursing.
Interaction between Students' Learning and Early Mathematical Skills to Increase Mathematical Critical Thinking Skills

The aim of this study is to determine the interaction between learning factors (CORE and conventional) and the initial mathematical skills factor (KAM) to increase mathematical critical thinking skills (KBKM) of students. The method used in this study was quasi-experimental with the non-equivalent group pretest-post design. The data analysis used was two-way ANAVA test. The results of the study are (1) There is no interaction between learning factors with KAM factors (2) the improvement students’ mathematical critical thinking skills in the CORE (connecting, organizing, reflecting, extending). learning group is higher than the conventional learning group for each KAM group (3) In both learning groups, the improvement of the students’ mathematical critical thinking skills in the upper KAM level is higher than the middle and lower KAM level and the improvement in the middle KAM level is higher than the lower KAM level.
Transitions to adulthood in flux. Assessing coming of age through an historical lens in Finland and France

According to youth experts, a significant number of contemporary young people in Western societies reach adulthood at a later age than previous generations. This phenomenon is generally perceived as a temporary misstep on the path to default patterns of transition established in the 1950s and 1960s. Given the current societal context, should the transition to adulthood today really conform to that model? This paper provides an historical analysis of transitions to adulthood to enquire whether the post-war model can still be considered a meaningful reference today. Were routes of transition similar or different in earlier times, or has the model always existed? To answer this question, the paper looks at demographics in two case countries, Finland and France, in three periods: the nineteenth and early twentieth centuries, the 1950s-1970s, and the early twenty-first century. The paper argues that the post-war generation? s rapid patterns of transition w ere unique, resulting from a sustained period of economic growth in developed societies. This has generated new pathways of transition and a model of adulthood still used as a standard point today, even though the current socio-economic context has changed. Transitions to adulthood are not static. They have always evolved, mirroring the wider historical context within which individuals operate.
On the Role of Lexical Restriction and Intervention in Production: A New Angle on the Subject-object Relatives Asymmetry

A robust finding from acquisition, adult processing and pathological populations is that object A’dependencies are harder to parse and comprehend than subject A’-dependencies (among others, Tavakolian 1981, Yoshinaga 1996, De Vincenzi et al. 1999, Avrutin 2000, Friedmann & Novogrodsky 2004 on acquisition; Hakes et al. 1976, Frauenfelder et al. 1980, King & Just 1991, Kuhn 1993, Schlesewsky et al. 2000, Gordon et al. 2004 on adult processing; Caramazza & Zurif 1976, Schwartz et al. 1980, Hickok & Avrutin 1996, Friedmann & Novogrodsky 2004, Grillo 2008, Garraffa & Grillo 2008, Friedmann et al. 2010 on pathology). The featural Relativized Minimality approach (henceforth, fRM, Rizzi 1990, 2004, Starke 2001) ascribes this asymmetry to the grammatical locality constraint bearing on intervention configurations (Friedmann et al. 2009). Under fRM, a movement relation between two elements X and Y is disrupted if an element Z structurally intervenes between X and Y and matches the specification of X in relevant features:
The SLS-Berlin: Validation of a German Computer-Based Screening Test to Measure Reading Proficiency in Early and Late Adulthood

Reading proficiency, i.e., successfully integrating early word-based information and utilizing this information in later processes of sentence and text comprehension, and its assessment is subject to extensive research. However, screening tests for German adults across the life span are basically non-existent. Therefore, the present article introduces a standardized computerized sentence-based screening measure for German adult readers to assess reading proficiency including norm data from 2,148 participants covering an age range from 16 to 88 years. The test was developed in accordance with the children’s version of the Salzburger LeseScreening (SLS, Wimmer and Mayringer, 2014). The SLS-Berlin has a high reliability and can easily be implemented in any research setting using German language. We present a detailed description of the test and report the distribution of SLS-Berlin scores for the norm sample as well as for two subsamples of younger (below 60 years) and older adults (60 and older). For all three samples, we conducted regression analyses to investigate the relationship between sentence characteristics and SLS-Berlin scores. In a second validation study, SLS-Berlin scores were compared with two (pseudo)word reading tests, a test measuring attention and processing speed and eye-movements recorded during expository text reading. Our results confirm the SLS-Berlin’s sensitivity to capture early word decoding and later text related comprehension processes. The test distinguished very well between skilled and less skilled readers and also within less skilled readers and is therefore a powerful and efficient screening test for German adults to assess interindividual levels of reading proficiency.
What Social Media Can Tell Us About Opioid Addicts: Twitter Data Case Analysis

Opioid addiction is one of the largest and deadliest epidemics in the United States. This research investigates opioids’ epidemic by analyzing recent tweets data for users who are addicted or have been addicted to opioids. Automatically analyzing social media users’ posts of opioids addicted users using machine learning tools can help understand the themes and topics that exist in the up-to-date discussions of online users of social media networks. Through the analysis period from 01/01/2015 to 02/25/2019, we were able to identify 571 self-identified Twitter users. We collected a total of 20,609 English-language tweets that belong to the self-identified users. Overall, we identify the different recovery approaches, illicit drug use and user seeking for help. This study helps elicit how the daily posts of online social media users can provide a better understanding of the opioid crisis, and strengthen the public health data reporting and collection for opioids epidemic.
Film cooling performance of shaped hole over vane with flow visualization

The cooling performance of a shaped hole is investigated experimentally using a twodimensional turbine vane cascade. The test section is designed to match Mach numbers, Reynolds numbers, pressure distributions, passage mass flow rates, boundary layer development, streamline curvature, and physical dimensions of turbine airfoils in operating gas turbine engines for industrial power generation. The test section walls are made of acrylic for the optical measurements with inlet cross section area of 10 cm by 5.4 cm. One row of laid-back fan-shaped axially-oriented cooling holes is located on the pressure side. The main stream Reynolds number based on the axial chord is 1.4E5 and inlet Mach number is 0.16. The local distributions of the heat transfer coefficient and film cooling effectiveness is obtained using a transient Thermochromic Liquid Crystal (TLC) technique for four different blowing ratios. The effectiveness of the shaped holes increases by the increase of the blowing ratio with a slight reduction on the heat transfer enhancement. The nature of the flow interaction between jet and mainstream is clarified using Particle Image Velocimetry (PIV) to support the heat transfer findings.
An Active Impedance-Source Three-Level T-Type Inverter With Reduced Device Count

In this paper, a single-stage active impedance source three-phase T-type inverter is proposed with a reduced component count. Besides the inherent features of the three-level (TL) impedance-source inverters—shoot-through (ST) immunity, single-stage power conversion, and continuous input current—the proposed inverter has additional advantages such as increased voltage gain, reduced passive element count, and low voltage stress on devices. Furthermore, the self-balance capacitor voltage capability is the other feature of the proposed inverter. The steady-state analysis, operating principles, and parameter selection guidelines are presented in detail for the proposed inverter. Pulsewidth modulation (PWM) techniques for the proposed inverter including the sinusoidal PWM method and the modified space-vector modulation scheme for common-mode voltage reduction are also presented. A comprehensive comparison between the proposed inverter and other TL impedance-source inverters is shown. The proposed inverter has been validated using PSIM simulation software, and a laboratory prototype is constructed to verify the performance of the proposed inverter.
Illegal Network Identification Optimization Based on Convolutional Neural Network

Convolutional neural network (CNN) was a widely used algorithm for image classification in the field of computer vision. At present, in terms of identification of illegal web pages, the main application methods rely on manpower too much, which is a costly and time-consuming method. This paper will apply the CNN algorithm to the identification of illegal networks, build a CNN algorithm framework on the server side of browsers and web pages. It can also use CNN's outstanding performance in image classification to classify images of illegal websites and conducts realtime data on illegal websites. This paper will introduce the CNN algorithm characteristics from the algorithm structure and function.
Dynamics Based Features For Graph Classification

Numerous social, medical, engineering and biological challenges can be framed as graph-based learning tasks. Here, we propose a new feature based approach to network classification. We show how dynamics on a network can be useful to reveal patterns about the organization of the components of the underlying graph where the process takes place. We define generalized assortativities on networks and use them as generalized features across multiple time scales. These features turn out to be suitable signatures for discriminating between different classes of networks. Our method is evaluated empirically on established network benchmarks. We also introduce a new dataset of human brain networks (connectomes) and use it to evaluate our method. Results reveal that our dynamics based features are competitive and often outperform state of the art accuracies.
Fast measurement technique for obtaining the low damage threshold defects in a large aperture fused silica glass

Measurement of the low damage threshold defects in a large aperture fused silica glass is of great significance. Currently, the popular characterization method for detecting the low damage threshold defects is via measuring the optical absorption of a fused silica glass using the surface thermal lensing technology. However the detecting area of a single shot in this method is too small, typically around 10×10 microns, so if a large aperture fused silica glass in the size of 400×400 mm is to be measured, it would take approximate 100000 hours to complete the measurement, which is obviously not acceptable. Here, we report a fast measurement technique for obtaining the low damage threshold defects in a large aperture fused silica glass according to its fingerprint spectrum, for the fused silica optical glass in the size of 400×400 mm, measurement of the low damage threshold defects in the whole surface in several hours is achievable.
Design of a Temperature Insensitive Fiber Interferometer for Long-Term Laser Frequency Stabilization using Metal Coated Fibers

This work presents the design for a temperature drift-free path imbalanced ber interferometer for long-term laser frequency stabilization using coated bers with different thermal drift. For this purpose, single acrylate, dual acrylate, copper and aluminum coated bers are analyzed theoretically and experimentally regarding the thermal sensitivity of their optical path length. Experimental results were obtained by using few meter sample fibers as low-finesse cavities and measuring the phase of the cavity modes drifting by as a function of temperature. Measurements yield temperature sensitivities of 9.51*10^-6 K^-1, 10.85*10^-6 K^-1, 14.59*10^-6 K^-1 and 17.86*10^-6 K^-1 for the single acrylate, dual acrylate, copper and aluminum fiber respectively and are in general in good agreement with theoretical results. A suggestion for a custom-made aluminum fiber derived from the presented model with an increased thermal sensitivity of 28.6*10^-6 K^-1 is further presented. Choosing aluminum coating for the short arm and single acrylate for the long arm of the fiber interferometer with their length ratio corresponding to the ratio of their thermal sensitivity makes the path difference constant with temperature and the interferometerthus drift-free. A trade-off is to be made between the introduced additional delay of the short arm and the obtained path difference. An additional delay puts demands on the pre-stabilized linewidth of the laser while the latter improves short-term linewidth reduction. (Less)
Psychological Well-Being During Adolescence: Stability and Association With Romantic Relationships

The concept of well-being is complex and is in common use not only in the area of health but also in the field of human development. Well-being depends on both the individual and the environment, and during childhood and adolescence, the environmental factor can be decisive. Family, school, and peers are widely recognized as significant contexts for successful development, but romantic context is also undoubtedly important. Romantic relationships constitute a new dimension in the adolescent’s social life, but little attention so far has been paid to their importance in well-being. Defined as developmental tasks, they have been associated both positive and negative outcomes, although their impact on well-being has not yet been clarified. This study uses a eudaimonic approach to evaluate four dimensions of psychological well-being: self-acceptance, positive interpersonal relationships, autonomy, and life development, and has a two-fold objective: (1) to analyze adolescents’ levels of psychological well-being and their stability over time, and (2) to analyze the association between romantic relationships and adolescents’ psychological well-being. Using a longitudinal design, we analyzed data from a sample of 747 adolescents from Andalusia (Spain) between 13 and 17 years old (50.5% girls, mean age wave 1 = 14.55, SD = 0.84). The results revealed medium to high levels of psychological well-being, which remained stable throughout the time of the study, and an increase in wave 2 only in positive interpersonal relationships dimension. The Structural Equation Modeling analysis showed romantic relationships as a predictor of psychological well-being, having a positive link with positive interpersonal relationships and with life development, and a negative link with autonomy and self-acceptance. These results are discussed in terms of the need to use approaches focused on the specific characteristics and evolution of well-being during adolescence, as well as on the importance of considering romantic relationships as developmental assets which have the potential to influence well-being during these years.
Performance evaluation of a highly insulated wall to withstand mould

In this paper, the performance to withstand mould growth of a highly insulated wall is evaluated by applying a probabilistic-based methodology that accounts for the involved uncertainties and investigates their significance. A sensitivity analysis according to the Morris method is conducted to understand the influence of each parameter and simplify the system representation. Deficiencies in terms of moisture and air leakages are accounted for. The mould growth outcome is evaluated by integrating different mould models and assessment criteria. The study demonstrates that a probabilistic-based methodology enables a more systematic approach to evaluate wall constructions since it accounts for the involved uncertainties, provides a clear association of the microbial growth to its likelihood, and enables the identification and significance of the dominant parameters; hence, it delivers a more comprehensive assessment of a building envelope.
Research on Crowdsourcing Emergency Information Extraction of Based on Events' Frame

At present, the common information extraction method cannot extract the structured emergency event information accurately; the general information retrieval tool cannot completely identify the emergency geographic information; these ways also do not have an accurate assessment of these results of distilling. So, this paper proposes an emergency information collection technology based on event framework. This technique is to solve the problem of emergency information picking. It mainly includes emergency information extraction model (EIEM), complete address recognition method (CARM) and the accuracy evaluation model of emergency information (AEMEI). EIEM can be structured to extract emergency information and complements the lack of network data acquisition in emergency mapping. CARM uses a hierarchical model and the shortest path algorithm and allows the toponomy pieces to be joined as a full address. AEMEI analyzes the results of the emergency event and summarizes the advantages and disadvantages of the event framework. Experiments show that event frame technology can solve the problem of emergency information drawing and provides reference cases for other applications. When the emergency disaster is about to occur, the relevant departments query emergency's data that has occurred in the past. They can make arrangements ahead of schedule which defense and reducing disaster. The technology decreases the number of casualties and property damage in the country and world. This is of great significance to the state and society.