Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple vs. complex transitive constructions in the acquisition of English structures

This study examines the acquisition of English simple monotransitive and complex dative alternation (DA) structures (double object constructions (DOC) and to/for-datives) in the longitudinal spontaneous production of monolingual children. In order to address these issues, we analyzed data from twelve English monolingual children and from adults’ child-directed speech, as available in CHILDES (MacWhinney, 2000). The findings revealed that simple monotransitive constructions started being produced earlier and showed a higher incidence when compared to complex DA constructions, which suggests that the degree of syntactic complexity has had an effect on the acquisition of transitives. However, the two complex DA constructions emerged at an approximately similar age, which could be explained by the Case assigning related properties. Furthermore, the chronological progression and the difference regarding the incidence of the three constructions (monotransitives > DOCs > to/for-datives) could be attributed to the amount of exposure to these structures in the adult input.
Self-Adjusting Fuzzy Logic Based Control of Robot Manipulators in Task Space

End effector tracking control of robot manipulators subject to dynamical uncertainties is the main objective of this article. Direct task space control that aims minimizing the end effector tracking error directly is preferred. In the open loop error system, the vector that depends on uncertain dynamical terms is modeled via a fuzzy logic network and a self-adjusting adaptive fuzzy logic component is designed as part of the nonlinear proportional derivative based control input torque. The stability of the closed-loop system is investigated via Lyapunov based arguments and practical tracking is proven. The viability of the proposed control strategy is shown with experimental results. Extensions to uncertain Jacobian case and kinematically redundant robots are also presented.
Personalised need of care in an ageing society: The making of a prediction tool based on register data

Danish municipalities monitor older persons who are at high risk of declining health and would later need home care services. However, there is no established strategy yet on how to accurately identify those who are at high risk. Therefore, there is great potential to optimise the municipalities’ prevention strategies. Denmark’s comprehensive set of electronic population registers provide longitudinal data that cover individual and household socio‐demographics and medical history. Using these data, we developed and applied recurrent neural networks to predict the risk of a need of care services in the future and thus identify individuals who would benefit the most from the municipalities’ prevention strategies. We compared our recurrent neural network model to prediction models based on Cox regression and Fine–Gray regression in terms of calibration and discrimination. Challenges for the prediction modelling were the competing risk of death and the longitudinal information on the registered life course data.
Examining false beliefs about voter fraud in the wake of the 2020 Presidential Election

The 2020 U.S. Presidential Election saw an unprecedented number of false claims alleging election fraud and arguing that Donald Trump was the actual winner of the election. Here we report a survey exploring belief in these false claims that was conducted three days after Biden was declared the winner. We find that a majority of Trump voters in our sample – particularly those who were more politically knowl-edgeable and more closely following election news – falsely believed that election fraud was wide-spread and that Trump won the election. Thus, false beliefs about the election are not merely a fringe phenomenon. We also find that Trump conceding or losing his legal challenges would likely lead a ma-jority of Trump voters to accept Biden’s victory as legitimate, although 40% said they would continue to view Biden as illegitimate regardless. Finally, we found that levels of partisan spite and endorsement of violence were equivalent between Trump and Biden voters.
Airbnb and its potential impact on the London housing market

This article identifies proxies which account for the impacts that the Airbnb platform is having on housing in Greater London. We identify these by analysing the relationships between possible Airbnb misuse and the attributes of housing in the same locations. We assume misuse when listings of entire properties within the Airbnb platform do not conform with local regulations and where hosts who offer such housing have multiple listings. In particular, we examine (1) the dwelling type based on building typology; (2) the type of housing tenure, whether it is owned or rented; and (3) the spatial distribution of changes in rent payable. Three important findings emerge from our analysis. First, based on 2018 data, we estimate that more than 2% of all properties in London, and up to 7% in some local areas are being misused through Airbnb as short-term holiday rentals. Second, the location of these particular Airbnb rentals is negatively correlated with the diversity of dwelling types and positively correlated with dwelling type such as an apartment (or flat) in areas of high private rental stock. Last, we show that a 100% increase in the density of possible Airbnb misuse can be associated with up to an 8% increase in unit rental price per-bedroom per-week, an equivalent to up to an average of £90 price increase per year. Finally, we discuss how this type of analysis can help build instruments to inform policies associated with the platform economy in relation to increasing polarisation in the London housing market.
Zeroing in on the best early-course metrics to identify at-risk students in general chemistry: an adaptive learning pre-assessment vs. traditional diagnostic exam

ABSTRACT General chemistry are key gateway courses for many Science, Technology, Engineering, and Mathematics (STEM) majors. To improve student outcomes, it is critical both to identify at-risk students and implement evidence-based instructional strategies and interventions. These remain active areas of investigation, with recent literature showing that cognitive, affective and demographic characteristics all contribute as risk factors. Here we report an assessment of demographic characteristics and early-course cognitive measures in predicting student outcomes in first-term general chemistry (GC1), comparing an adaptive learning pre-assessment using ALEKS (Assessment and LEarning in Knowledge Spaces) with a traditional diagnostic exam. Student performance was evaluated across three sections (345 students) in a quasi-experimental pre-test/post-test design using a common ACS final exam. We find that ∼57% of variance in ACS final exam scores and ∼60% of variance in final course grades is related to three predictors: initial ALEKS knowledge check, diagnostic exam score, and predicted first year QPA, an internal metric based upon high school GPA, ACT/SAT scores, and college of admission. While no single metric could identify even one-half of students scoring lowest in the course (i.e. in the bottom 15%, consistent with the percentage of D’s, F’s and withdrawals in our sections), in combination ∼ 80% were identified.
Observation of hyperfine structure of D022-Mn3−xFexGa by Mössbauer effect

In this work, to obtain the design guideline for a magnet made of a Mn-based alloy, Mn3−xFexGa alloys were prepared by arc melting and the magnetic state of Fe in the alloys and hyperfine structure were investigated on the basis of the Mössbauer effect. As a result, D022-Mn2.2Fe0. 5Ga alloys were obtained by annealing at 350 °C for 2 days. From the Mössbauer spectrum of Mn2.2Fe0. 5Ga, it was clear that Fe replaced Mn in the Mn II site of the D022 structure. In addition, it was also found that the hyperfine field of Fe is extremely lower in the Mn II site than in the Mn I site.
A Dual-Polarized 27 dBi Scanning Lens Phased Array Antenna for 5G Point-to-Point Communications

A dual-polarized $4\times 4$ scanning phased array antenna with leaky-wave enhanced lenses operating at 28 GHz is presented. Such an antenna can be used for point-to-point fifth-generation (5G) communications that require high gain, wide bandwidth (BW), and limited steering ranges. The proposed array has a periodicity of two wavelengths, and the resulting grating lobes are suppressed by directive and steerable array element patterns. To achieve a low-cost and low-profile solution, the leaky-wave antenna feeds are designed in printed circuit board and the lenses are made of plastic. The lenses are optimized in the near-field region of the feeds, with the goal of maximizing the array element aperture efficiency. The array performance obtained from the proposed approach is validated by full-wave simulations, showing a 27.5 dBi broadside gain at 28 GHz and a steering capability up to ±20° with 2 dB of scan loss. An antenna prototype was fabricated and measured. Measurement results are in excellent agreement with full-wave simulations. The prototype antenna, at broadside, achieves a 20% relative BW and a gain of 26.2 dBi.
Biology and Feeding Preferences of Spodoptera Frugiperda (Lepidoptera: Noctuidae) On Maize and Selected Vegetable Crops

Purpose : Fall Armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera, Noctuidae) was recently reported for the first time in Sri Lanka in Oct 2018 as a new invasive pest of maize. Therefore, the objectives of present study were to study biology and to evaluate feeding preferences of S. frugiperda on maize and selected vegetable crops. Research Method : During the experiment, newly hatched larvae were fed with maize, cabbage, okra, beans, radish and brinjal leaves under laboratory conditions. Maize was used as the positive control. Duration of development from larva to adult, pupal weight, pupal length, sex ratio, survival percentage, and oviposition (Choice and No-Choice test) on different vegetable crops were evaluated. Findings : Results of the feeding preference test envisaged that there was no host dependent variability among neonate larvae for maize, cabbage, raddish and brinjal. The highest damage (50-75%) was reported in larvae fed on okra, and (25-50%) damage was showed in beans after 24 hours of inoculation. The highest survival percentage of larvae (80%) and shortest larval development period (23.8±0.3days) were reported in larvae fed with maize where as it was the longest in brinjal. The highest oviposition (4.1±1.2 in Choice test and 3.6±0.7 in No-choice test) was observed in maize compared to other crops. With the absence of the most preferred host (maize) for oviposition, other hosts were used by the pest. During the off season Fall armyworm could survive in alternate crops. Research Limitations : Field observations were not carried out to confirm (validate) the laboratory observations with the time limitation. Originality/ Value : The research provides interest and idea about the survival mechanism of S. frugiperda during off season of maize and potential alternative host plants of the pest. It identifies the possibility of moving of S. frugiperda into five vegetable crops and thereby make awareness of the farmers about the pest to follow the suitable management practice of the S. frugiperda.
A Complete CDW Theory for the Single Ionization of Multielectronic Atoms by Bare Ion Impact

A complete form of the post version of the continuum distorted wave (CDW) theory is used to investigate the single ionization of multielectronic atoms by fast bare heavy ion beams. The influence of the non-ionized electrons on the dynamic evolution is included through a residual target potential considered as a non-Coulomb central potential through a GSZ parametric one. Divergences found in the transition amplitude containing the short-range part of the target potential are avoided by considering, in that term exclusively, an eikonal phase instead of the continuum factor as the initial channel distortion function. In this way, we achieve the inclusion of the interaction between the target active electron and the residual target, giving place to a more complete theory. The present analysis is supported by comparisons with existing experimental electron emission spectra and other distorted wave theories.
Hyperhomogeneity of hydrogen-disordered ice and its origin: the residual entropy compatible with the disparity in hydrogen bond energy

The residual entropy is one of the most crucial properties for the existence of a large number of ice polymorphs. The residual entropy has been estimated by Pauling assuming that there is no large difference between the hydrogen bond energies in ice. This simple model accurately predicts the entropy change of the phase transition between a hydrogen-disordered ice phase and its hydrogen-ordered counterpart. This fact is, however, incompatible with another fact that the difference in the pair interaction energies involved in hydrogen bonds in an ice phase can be larger than the thermal energy of a few kJ/mol. Here we propose a mechanism that reconciles them by considering the equality of the binding energy in each molecule rather than the pair interaction energy of the proximate pair. The topological feature of ice, called the ice rules, allows us to replace the interactions of a water molecule with the other individual molecules by that with the collections of the dipoles represented by directed cycles consisting of O-H vectors. This resummation reveals that molecular environments in ice are extremely homogeneous thereby providing a solid basis for Pauling's model.
Roads in the Southwestern Amazon, State of Acre, between 2007 and 2019

Over the past 40 years, roads have been the main driver behind the State of Acre’s occupation and development. However, the expansion of roads, has often been associated with the advance of deforestation, habitat fragmentation, and social conflicts. There are no up-to-date data available on the current extent of Acre’s road network nor its environmental and socioenvironmental impacts. In this study, we updated the State of Acre’s road network map for the period 2007 to 2019 through the visual interpretation of 153 Landsat images (5, 7, and 8) at a scale of 1:50,000. To estimate the impact of roads, we measured the distribution of roads in municipalities and in different land tenure categories and calculated the correlation between roads and annual deforestation. Up to 2019, we estimated 19,620 km of roads, of which 92% were unofficial roads, 6% federal roads, and 2% state roads. The roads increased at an average annual rate of 590 km year−1. The most significant advance in road length between 2007 and 2019 was in protected areas (240%), followed by public lands (68%) and settlement projects (66%). We recommend monitoring of the road network to understand the landscape’s evolution and support actions against illicit environmental and socioenvironmental impacts.
Evaluation of Sustainability of Irrigated Crops in Arid Regions, China

Ensuring national food security amidst ongoing economic development whilst both protecting the environment and reducing the dependence on fossil fuels are significant challenges for Chinese sustainable development. The main objectives of this study were to reveal irrigated crop (wheat, maize, and sunflower) performance in terms of energy, economic, and environmental aspects in China’s largest designed irrigation area, Hetao irrigation district (HID), and to evaluate agricultural suitability based on plant structure. An integrated indicator and comprehensively assessment method were used to evaluate the above objectives based on the results from in-person surveys. The results show that maize exhibits the best overall performance compared to two other major crops (wheat and sunflower), which supports the government policy of adjust and optimize the planting structure program (AOPST), an effective way to achieve the multiple-objectives for sustainable agricultural development. However, reducing fertilizer remains a more critical factor than AOPST. These study results provide useful guidance for policy-makers and relevant stake-holders both in a regional context for the HID and at the global agricultural governance and management level.
Pengaruh Good Corporate Governance Terhadap Tax Avoidance (Penghindaran Pajak)

This study aims to determine how much influence Good Corporate Governance has on Tax Avoidance. Good Corporate Governance is checked with the Independent Board of Commissioners, Institutional Ownership, Managerial Ownership and the Audit Committee on Tax Avoidance. This research is a quantitative study using secondary data obtained from annual financial reports on the IDX website. The population of this research is 27 companies from 2016-2019. The sampling technique used in this research was purposive sampling technique. The samples obtained were 9 companies. The results of this study indicate that (1) the results of testing the regression model hypothesis simultaneously show that the Independent Commissioner, Institutional Ownership, Managerial Ownership, and the Audit Committee have no effect on Tax Avoidance.
Students with Special Needs in Digital Classrooms during the COVID-19 Pandemic in Turkey

In this study, the aim is to examine how special education provided for students within inclusive education has continued at home during the pandemic. This study has employed phenomenology as the research method because this design enables researchers to make in-depth analysis and description. Purposeful sampling method was utilized to determine the participants of the study. Research participants consists of 15 voluntary parents of students with special needs who continued their education through inclusive education conducted in general education classes. Participating parents’ children were between 9-to-14 years of age and were studying at a grade between the 3rdand 8th grades. Research data have been collected through semi-structured interviews and analyzed by inductive method. research results have shown that all students, including those with special needs, have continued their schooling via distance education provided by Turkish Ministry of National Education through EBA TV and the official website of the Ministry. In addition, participants have reported that some teachers conducted online lessons and shared worksheets with all students via the WhatsApp group. However, several issues of concern have also been noted as follows: students with special needs could not follow the lessons on TV regularly, many of them did not attend online lessons, and their teachers did not give feedback about their activities. Moreover, none of the students with special needs received support education services, and there was no communication and cooperation among teachers, families, and students. Furthermore, the findings have indicated that children were unwilling and unable to adapt to distance education.
Accelerated Addition in Resistive RAM Array Using Parallel-Friendly Majority Gates

To overcome the “von Neumann bottleneck,” methods to compute in memory are being researched in many emerging memory technologies, including resistive RAMs (ReRAMs). Majority logic is efficient for synthesizing arithmetic circuits when compared to NAND/NOR/IMPLY logic. In this work, we propose a method to implement a majority gate in a transistor-accessed ReRAM array during the READ operation. Together with NOT gate, which is also implemented in memory, the proposed gate forms a functionally complete Boolean logic, capable of implementing any digital logic. Computing is simplified to a sequence of READ and WRITE operations and does not require any major modifications to the peripheral circuitry of the array. While many methods have been proposed recently to implement the Boolean logic in memory, the latency of in-memory adders implemented as a sequence of such Boolean operations is exorbitant (<inline-formula> <tex-math notation="LaTeX">${O}$ </tex-math></inline-formula>(<inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>)). Parallel-prefix (PP) adders use prefix computation to accelerate addition in conventional CMOS-based adders. By exploiting the parallel-friendly nature of the proposed majority gate and the regular structure of the memory array, it is demonstrated how PP adders can be implemented in memory in <inline-formula> <tex-math notation="LaTeX">${O}$ </tex-math></inline-formula>(log(<inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>)) latency. The proposed in-memory addition technique incurs a latency of <inline-formula> <tex-math notation="LaTeX">$4\cdot $ </tex-math></inline-formula>log(<inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>)+6 for <inline-formula> <tex-math notation="LaTeX">$n$ </tex-math></inline-formula>-bit addition and is energy-efficient due to the absence of sneak currents in 1Transistor–1Resistor configuration.
Process Simulation for Removing Impurities From Wastewater Using Sour Water 2-Strippers system via Aspen Hysys

Abstract In this paper, Aspen Hysys v8.8 was used to simulate two strippers for sour water stripping process as the aim for removal of chemical impurities such as hydrogen sulfide, carbon dioxide and ammonia in wastewater. As a result of elimination of these impurities, the water can be reused. Comparison between single and two strippers and elevating the stripping efficiency was the objectives of the present study. The feed flow rate and compositions were specified according to the typical Chevron WWT process conditions. The simulation result shows that 100 % ammonia was stripped into the two stripper system but only 24 % stripped in the single stripper system. The result of H2O was almost same in both systems. The stripped water collected via the bottom of the Ammonia Stripper contains less than 10 ppm of hydrogen sulphide and less than 50 ppm of ammonia.
The Jordanian capital market: Liquidity cost during COVID19 pandemic infection

Article history: Received: November 15, 2020 Received in revised format: January 28 2021 Accepted: March 2, 2021 Available online: March 2, 2021 The COVID-19 outbreak has affected the entire global financial market in an unprecedented way. Due to disruptions in the global market, the Jordanian financial market also responded to the pandemic and observed sudden volatility. The outbreak of the virus has led the management of the Jordanian market (Amman Securities Exchange / ASE) to halt trading on the secondary market during the period 17 March 2020 – 9 May 2020. Hence, using daily closing prices of listed firms, this paper empirically examines the market’s liquidity cost before its closure (2 January 2020 – 16 March 2020) and after (10 May 2020 – 31 December 2020). The premise of this objective rests on the fact that the trading activity on the secondary market, following the resumption of trading is carriedout within uncertain circumstances. The data used in this study comes from the daily trading reports published by ASE. All listed companies are included in the analysis. Based on the daily closing bid and ask prices, we calculate the daily spreads during two sub-periods (2 January 2020 – 16 March 2020 and 10 May 2020 31 December 2020). We then regress the daily spreads on daily stock prices, number of daily contracts, risk, and where the companies list their shares (first or second market). The main findings of this paper are threefold. First, liquidity cost in the ASE is relatively high. Second, following the resumption of trading on the secondary market, liquidity cost has increased. Third, other known determinants of liquidity cost are significant and have the expected coefficient signs. The fact that liquidity cost in the ASE is high, and higher even after the resumption of trading, necessitates some clear policy measures. These include a reduction in the currently used minimum tick. © 2021 by the authors; licensee Growing Science, Canada