Study of attitudes towards values among High School Students

Field research was used to find a attitude towards value among high school students. In Tiruvallur district, 250 high school students were selected as study samples in simple event sampling. The data was designed and the data was designed by the Sublime Attitude Scale Investigator to collect research data. The data collected was tested using analyses at the point of average, deplanation, t-test, etc. As a result of the study, high school students have a significant difference in their gender, language of instruction and school location. To bridge these differences, teachers should first be trained in workplaces to teach values in conjunction with the subject. In order to encourage teachers to provide research papers on value, they should participate in seminars and workshops to improve their teaching skills. Thus, when teachers combine with the subject during learning teaching and teach them values, students can become better citizens.

Using machine learning to disentangle LHC signatures of Dark Matter candidates

We study the prospects of characterising Dark Matter at colliders using Machine Learning (ML) techniques. We focus on the monojet and missing transverse energy (MET) channel and propose a set of benchmark models for the study: a typical WIMP Dark Matter candidate in the form of a SUSY neutralino, a pseudo-Goldstone impostor in the shape of an Axion-Like Particle, and a light Dark Matter impostor whose interactions are mediated by a heavy particle. All these benchmarks are tensioned against each other, and against the main SM background (Z+jets). Our analysis uses both the leading-order kinematic features as well as the information of an additional hard jet. We explore different representations of the data, from a simple event data sample with values of kinematic variables fed into a Logistic Regression algorithm or a Fully Connected Neural Network, to a transformation of the data into images related to probability distributions, fed to Deep and Convolutional Neural Networks. We also study the robustness of our method against including detector effects, dropping kinematic variables, or changing the number of events per image. In the case of signals with more combinatorial possibilities (events with more than one hard jet), the most crucial data features are selected by performing a Principal Component Analysis. We compare the performance of all these methods, and find that using the 2D images of the combined information of multiple events significantly improves the discrimination performance.

The categorial, argument structural and aspectual indeterminacy of past participles: A holistic approach

The present paper argues that all kinds of verbal and adjectival instantiations of past participles have a common core: a participial head associated with an argument structural effect, on the one hand, and an aspectual contribution, on the other. The former amounts to the suppression of an external argument (if present), which existentially binds the semantic role associated with this argument, and the latter renders simple event structures with change-of-state semantics (and only those) perfective. Based on these ingredients (and the contribution of the auxiliary have, if present), it is not just possible to account for how past participles elicit periphrastic passive as well as perfect configurations, but crucially also for their bare (i. e. auxiliaryless) occurrences in a range of distributions: stative passives, stative perfects, absolute clauses, pre- and postnominal occurrences, and adverbial clauses. These, in turn, differ in their properties on the basis of (a) the presence of a stativising PredP, (b) the availability of an adjectival head that triggers λ-abstraction of an internal argument, and (c) the complexity of the underlying verbal structure in terms of the availability of vP. This eventually allows for a ‘holistic’ approach to the flexibility of past participles that delineates a common core supplemented by distinct functional surroundings.

Improved Event-Based Pi Controller for Limit Cycles Avoidance

One of the issues in designing event-based proportional-integral (PI) controller using aggressive tuning rules is the possible occurrence of limit cycles. To date, there is no adequate simple event-based PI controller technique able to explicitly use aggressive tuning rule. In this paper an improved simple event-based PI controller is proposed to address this issue. By analysing the discrete PI algorithm, an improved triggering condition is introduced. To test the effectiveness of the approach, extensive simulations are carried out by introducing the proposed method to process control under various sampling period, triggering limit, and different tuning rules namely, AMIGO, SIMC and One-Third tuning rules. The performances are evaluated based on two standard criteria: ability to imitate the time-triggered system and computation load reduction. The results show that the performance of the proposed method able to surpass others simple event-based PI controller approaches by giving a closest response to the time-triggered system, lowest computational load and able to avoid the limit cycles occurrences. It is envisaged that the proposed method can be useful in designing a simple event-based PI controller that compatible with any type of tuning rules.

Failure to forecast: A case study in nowcasting and forecasting the eruption of a coronal mass ejection and its geomagnetic impacts on Dec 7-10, 2020.

<p>Forecasting solar flares based on while-light images and photospheric magnetograms of sunspots is notoriously challenging, while accurate forecasting of coronal mass ejections (CME) is still in its infancy. That said, the chances of a CME being launched is more likely following a flare. CMEs launched from the western hemisphere and “halo” CMEs are the most likely to be geomagnetically impactful, but forecasting their arrival and impact at Earth depends on how well their velocity is known near the Sun, the solar wind conditions between the Sun and the Earth, the accuracy of theoretical models and on the orientation of the CME magnetic field.  In this presentation, we describe a well observed active region, flare, CME, radio burst and sudden geomagnetic impulse that was observed on December 7-10, 2020 by a slew of instruments (SDO, ACE, DSCOVR, PSP, US and European magnetometers). This was a solar eruption that was not expected, but the CME and resulting geomagnetic impact should have been straight-forward to model and forecast. What can we learn from our failure to forecast this simple event and its impacts at Earth? </p>

Introduction

The introduction to this book reviews detail the major claims put forth in RoN in 1970, and in particular, the claim that complex words, with deverbal nominals being the case at point, represent a formation that is neither predictable nor productive, and are hence lexically listed. This claim goes hand in hand, in RoN, with the claim that whatever similarities do hold between the deverbal nominal such as destruction and the verb destroy emerge from the existence of a category neutral listed form, DESTROY, which has a consistent subcategorization frame (an object in this case), which is realized identically in the syntax, in accordance with the X’-theory, and where the form DESTROY itself inherits its category from its categorial insertion context (N, V etc.). Since 1970, a rich body of studies has emerged which investigated the properties of lexical formations such as destruction and their relationship with the verb destroy, giving rise to multiple accounts of the emergence of complex words, as well as to the emergence of distinct argument structure combination in the context of nominalizations in particular, and word formation in general. Particularly influential was Grimshaw’s (1990) work, which introduced a typologically sound distinction between nominalizations with event structure (Complex Event Nominals, or Argument Structure Nominals) and nominals which lack event structure, and which may be result nominals or referential nominals or Simple Event Nominals, i.e. nouns which denote an event, but which do not have an event structure in the verbal sense (e.g. trip). More recently there has been the questioning of the partition between word formation and syntactic constituent building altogether, starting with Marantz (1997), and continuing with influential work by many of the contributors to this volume. This volume brings together a sample of contemporary approaches to nominalization, based on the historical record, but also branching into new grounds, both in terms of their syntactic approaches, and in terms of the range of languages considered.<320>

Categorization and nominalization in zero nominals

In ‘Categorization and nominalization in zero-derived nouns’ Iordăchioaia discusses a type of nominalization generally neglected in the generative literature after Chomsky (1970), namely zero-derived nouns (ZNs). While overtly suffixed nominals are taken to systematically nominalize verbal constructions with argument structure, ZNs are considered to represent quite lexicalized uses corresponding to Grimshaw’s (1990) result or simple event nominals. In current syntactic models of word formation like DM or XSM, the implication is that ZNs are simple categorizations of roots as nouns in specific syntactic contexts and cannot instantiate real nominalizations of verbal structure. One important argument that Borer (2013) brings in support of this hypothesis is the alleged inability of ZNs to realize verbal argument structure. Iordăchioaia shows that, depending on the ontological type of the root that the base verb is built on, ZNs may in fact realize argument structure and receive compositional deverbal readings of the kind that nominalizations with overt suffixes resent. Building on Beavers and Koontz-Garboden’s (2020) distinction between property concept and result roots, she argues that ZNs corresponding to verbs built on the two types of root exhibit a contrast in their potential to realize argument structure. She then compares ZNs derived from change of state verbs (which are built on result roots) with ZNs derived from psych verbs (which are built on property concept roots) and shows by means of corpus data that the former often instantiate inchoative or causative change of state readings with which they realize argument structure. By contrast, the apparent semantic arguments of psych ZNs are not structural, as they involve idiosyncratic prepositional realizations, similarly to underived psych nouns. <269>

Simple Event nominals with Argument Structure? – Evidence from Irish deverbal nominalizations1

Deverbal nominals in Irish support Grimshaw’s (1990) tripartite division into complex event (CE-), simple event (SE-) and result nominals (R-nominals). Irish nominals are ambiguous only between the SE- and R-status. There are no CE-nominals containing the AspP layer in their structure. SE-nominals (also found in Light Verb Constructions) are number-neutral and incapable of pluralizing and are represented as [nP[vP[Root]]]. R-nominals are devoid of the vP layer and behave like ordinary nouns. The Irish data point to v as the layer introducing event implications and the vP or PPs as the functional heads introducing the internal argument (Alexiadou and Schäfer 2011). Event denoting nominals in Irish can license the internal argument but aspectual modification and external argument licensing are not possible (cf. synthetic compounds in Greek (Alexiadou 2017)), which means that, counter to Borer (2013), the licensing of Argument Structure need not follow from the presence of the AspP layer.

A comparative study of boron transport models in NRC thermal-hydraulic code TRACE

Recently, the interest in the study of various types of transients involving changes in the boron concentration inside the reactor, has led to an increase in the interest of developing and studying new models and tools that allow a correct study of boron transport. Therefore, a significant variety of different boron transport models and spatial difference schemes are available in the thermal-hydraulic codes. According to this interest, in this work it will be compared the results obtained using the different boron transport models implemented in the NRC thermal-hydraulic code TRACE. To do this, a set of models has been created using the different options and configurations that could have influence in boron transport. These models allow us to reproduce a simple event of filling or emptying the boron concentration in a long pipe. Moreover, with the aim to compare the differences obtained when one-dimensional or three-dimensional components are chosen, it has modeled many different cases using only pipe components or a mix of pipe and vessel components. In addition, the influence of the void fraction in the boron transport has been studied and compared under close conditions to a BWR commercial model. A final collection of the different cases and boron transport models are compared between them and those corresponding to the analytical solution provided by the Burgers equation. From this comparison, important conclusions are drawn that will be the basis of modeling the boron transport in TRACE adequately.