Explicit Evaluation Research Articles

An analytical approach for modelling the vibroacoustic behaviour of a heavy fluid-loaded plate near a free surface

Predictions of the vibroacoustic response of a point-force excited baffled thin rectangular plate immersed in a heavy fluid and near a free surface are presented using an analytical model. The equations of motion are solved by Fourier analysis, where the eigenfunctions of plate vibration form the basis of spatial expansion for fluid loading. Vibroacoustic indicators, including the plate velocity, acoustic pressure, and acoustic power, are predicted using the analytical approach and verification is performed by comparison with finite element simulations. The results have shown that variations in the height of the free surface can have a significant effect on these indicators. From the vibration response, added mass effect due to heavy fluid loading is altered and further investigated with the explicit evaluation of an added mass ratio for different free surface heights for the first five plate modes. For a given height of a free surface, standing waves can form between the free surface and baffled plate at specific excitation frequencies and slightly alters the acoustic pressure spectra. This condition also presents an effect on the acoustic power, where the first standing wave frequency dictates the efficient sound radiation to the far field.

Does auditory attentional bias determine craving for methamphetamine? A pilot study using a word recognition dichotic listening task

BackgroundObtaining reliable data under explicit evaluations is one of the most complicated challenges in assessing drug users' status. Respondents are likely to give answers that are to their advantage or deliberately deceitful. Regarding drug use, intense and inevitable drug craving is known as one of the main causes of relapse and treatment failure. As a matter of fact, drug craving is directly correlated to attentional bias toward drug-related stimuli, while drug-related stimuli capture drug users' attention as a result of craving. Most methods for studying selective attention and attentional bias have been developed for visual modality. However, stimuli that capture drug users’ attention are not always visual, they could be auditory. AimsWe examined if a modified word recognition dichotic listening task discriminated between methamphetamine users and non-users. Moreover, we investigated further the reliability and validity of this new paradigm. MethodsA total of 30 adult males participated in the study (15 methamphetamine users and 15 non-users). The word recognition dichotic listening task included two stimuli narratives/sequences (one neutral and one methamphetamine-related) that were presented simultaneously via headphones, one stimuli sequence to each ear. The participants were instructed to only pay attention to the neutral stimuli and to ignore the drug-related stimuli. Afterward, participants were asked to indicate in a list which words they recognized from the listening task and responded to the Desire for Drug Questionnaire, which was modified to address methamphetamine craving. In addition, a month after the experiment, we assessed therapy adherence among participants who were methamphetamine users. ResultsMethamphetamine users had a significantly lower performance in the word recognition dichotic task compared to non-users (t = 4.30, p < .001; Cohen’s d = 6.13). Importantly, the average performance on the task was significantly higher among methamphetamine users who continued their treatment one month later compared to those who quitted (t = −2.56, p < .05; Hedges' g = 1.28). Moreover, the intraclass correlation coefficient with 95% interval confidence for the word recognition dichotic listening task scores was excellent (ICC = 0.90) and the scores were significantly correlated with self-reported methamphetamine craving (r = −.47, p < .001). ConclusionsThe modified word recognition dichotic listening task successfully discriminated between individuals who craved methamphetamine from those who did not. This new paradigm demonstrated high reliability and validity in the present pilot study. Due to the importance of preventing unreliable responses when assessing drug cravings, the current method can be, after further validation, utilized in both research and clinical practices.

Multiple zeta star values on 3–2–1 indices

In 2008, Muneta found explicit evaluation of the multiple zeta star value \(\zeta ^\star (\{3, 1\}^d)\), and in 2013, Yamamoto proved a sum formula for multiple zeta star values on 3–2–1 indices. In this paper, we provide another way of deriving the formulas mentioned above. It is based on our previous work on generating functions for multiple zeta star values and also on constructions of generating functions for restricted sums of alternating Euler sums. As a result, the formulas obtained are simpler and computationally more effective than the known ones. Moreover, we give explicit evaluations of \(\zeta ^\star (\{\{2\}^m, 3, \{2\}^m, 1\bigr \}^d)\) and \(\zeta ^\star (\{\{2\}^m, 3, \{2\}^m, 1\}^d, \{2\}^{m+1})\), which are new and have not appeared in the literature before.

Sex and Gender Multidimensionality in Epidemiologic Research.

Along with age and race, sex has historically been a core stratification and control variable in epidemiologic research. While in recent decades research guidelines and institutionalized requirements have incorporated an approach differentiating biological sex from social gender, neither sex nor gender is itself a unidimensional construct. The conflation of dimensions within and between sex and gender presents a validity issue wherein proxy measures are used for dimensions of interest, often without explicit acknowledgement or evaluation. Here, individual-level dimensions of sex and gender are outlined as a guide for epidemiologists, and 2 case studies are presented. The first case study demonstrates how unacknowledged use of a sex/gender proxy for a sexed dimension of interest (uterine status) resulted in decades of cancer research misestimating risks, racial disparities, and age trends. The second illustrates how a multidimensional sex and gender framework may be applied to strengthen research on coronavirus disease 2019 incidence, diagnosis, morbidity, and mortality. Considerations are outlined, including: 1) addressing the match between measures and theory, and explicitly acknowledging and evaluating proxy use; 2) improving measurement across dimensions and social ecological levels; 3) incorporating multidimensionality into research objectives; and 4) interpreting sex, gender, and their effects as biopsychosocial.

How do implicit and explicit partner evaluations update in daily life? Evidence from the lab and the field.

Evidence suggesting that implicit partner evaluations (IPEs), but not explicit evaluations (EPEs), can predict later changes in satisfaction and relationship status has led researchers to postulate that IPEs must be especially sensitive to relational reward and costs. However, supporting evidence for this assumption remains scarce, and very little is known regarding how IPEs versus EPEs actually update in everyday life. Two studies (one in-lab dyadic interaction study, N = 255, and one 14-day dyadic diary study, N = 348) investigated updating in IPEs and EPEs in the context of real-life relationship experiences. Study 1 revealed that the level of positive and negative experiences that a couple encountered while discussing a divergence of interests in their relationship predicted pre-to-post changes in EPEs, but not in IPEs. Study 2 revealed that IPEs showed less sensitivity to everyday relationship experiences across multiple metrics over the course of 14 days. Specifically, compared with EPEs, IPEs fluctuated less at the within- (vs. between-) person level, showed less-abrupt changes from day-to-day, and had a substantially weaker relationship with same-day positive and negative experiences. Rather than covarying with same-day experiences, IPEs appeared sensitive to relationship experiences aggregated across multiple prior days as well as to highly diagnostic relationship experiences, such as breakup. Consistent with recent advances in social-cognitive research, these findings support a modified account of IPE sensitivity, according to which IPEs show only gradual shifts under everyday circumstances, but more-dramatic shifts under highly diagnostic circumstances. Implications of these findings for close relationships and implicit social cognition research are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Pseudogap and Anderson localization of light in correlated disordered media

Among the remarkable scattering properties of correlated disordered materials, the origin of pseudogaps and the formation of localized states are some of the most puzzling features. Fundamental differences between scalar and vector waves in both these aspects make their comprehension even more problematic. Here we present an in-depth and comprehensive analysis of the order-to-disorder transition in 2D resonant systems. We show with exact ab initio numerical simulations in finite-size hyperuniform media that localization of 2D vector waves can occur in the presence of correlated disorder, in a regime of moderate density of scatterers. On the contrary, no signature of localization is found for white noise disorder. This is in striking contrast with scalar waves, which localize at high density whatever the amount of correlation. For correlated materials, localization is associated with the formation of pseudogap in the density of states. We develop two complementary models to explain these observations. The first one uses an effective photonic crystal-type framework and the second relies on a diagrammatic treatment of the multiple scattering sequences. We provide explicit theoretical evaluations of the density of states and localization length in good agreement with numerical simulations. In this way, we identify the microscopic processes at the origin of pseudogap formation and clarify the role of the density of states for wave localization in resonant correlated media. The generality of our framework makes possible to apply our predictions for a large variety of scattering systems including dielectric structures with high quality factor, cold atoms, artificial atoms, as well as microwave resonators.

On the best constant in the Lp estimate for the sharp maximal function

Let I be a fixed subinterval of R and let 1≤p<∞ be a fixed exponent. Suppose that f∈Lp(I) is an arbitrary function of integral zero and let f# be the BLO-based sharp maximal function of f. The paper contains the identification of the best constant Cp in the estimate‖f‖Lp≤Cp‖f#‖Lp. The proof rests on the explicit evaluation of the Bellman function associated with the above estimate.

Revisiting al-Ṭabarī on Maqtal ʿAlī ibn Abī Ṭālib: An Early Report from Historical Learning to Practical Prescription

Abstract This paper examines the report (khabar) that relates the reasons behind the killing of ʿAlī ibn Abī Ṭālib (d. 40/661), as transmitted in the famous History of al-Ṭabarī (d. 310/923), exploring its historical, poetical, and practical facets. After considering its formal and historiographical structure, the paper analyzes some of the report’s phonetical, lexical, and textual elements, revealing its affective poeticity, or capacity to move readers in various ways. A review of different citations of the report in other Arabic medieval compilations positively sheds light on the practical morality that Muslim compilers were orienting their readers to observe, in their employment of titles, subtitles, explicit evaluations, and contextual arrangements among other constructions. The paper aims to attest to the report’s diverse potentials to aid its readers in ultimately answering the ethical question of “What to do, here and now?”

Massive Ray-Singer torsion and path integrals

Zero modes are an essential part of topological field theories, but they are frequently also an obstacle to the explicit evaluation of the associated path integrals. In order to address this issue in the case of Ray-Singer Torsion, which appears in various topological gauge theories, we introduce a massive variant of the Ray-Singer Torsion which involves determinants of the twisted Laplacian with mass but without zero modes. This has the advantage of allowing one to explicitly keep track of the zero mode dependence of the theory. We establish a number of general properties of this massive Ray-Singer Torsion. For product manifolds M = N × S1 and mapping tori one is able to interpret the mass term as a flat ℝ+ connection and one can represent the massive Ray-Singer Torsion as the path integral of a Schwarz type topological gauge theory. Using path integral techniques, with a judicious choice of an algebraic gauge fixing condition and a change of variables which leaves one with a free action, we can evaluate the torsion in closed form. We discuss a number of applications, including an explicit calculation of the Ray-Singer Torsion on S1 for G = PSL(2, R) and a path integral derivation of a generalisation of a formula of Fried for the torsion of finite order mapping tori.

Passengers receptivity of a new public transport mode: case of a BRT project in Lebanon

This study examines how far the level of knowledge on a new public transport mode in Lebanon might affect mode choice. Indeed, passenger mode choice is a major issue associated with the effectiveness of new transport projects, as their level of effectiveness and feasibility will depend on the number of new adopters. This investigation is performed by developing mode choice models based on data collected via a questionnaire-based survey. The models were used to compare preferences among private cars, current public transport modes and a newly proposed Bus Rapid Transit system. The driving factors are divided into two categories: economic and psychological. The results reveal that explicit evaluations of several factors on the proposed transport modes yields mode choices different from direct evaluation. Besides, the structure of the utility function reveals that economic driving factors prevail over the psychological aspects, which is the opposite of what is observed with direct mode assessment. Moreover, people’s expectations of the proposed Bus Rapid Transit were significantly positive in terms of usability in addition to operational and economic reliability. This study shows that people’s level of knowledge of previous transport modes and their perceptual expectations of new travel modes must be taken into consideration in the feasibility studies of any transport implementations in the developing countries where the public transport services are discouraged.

FlameNEST: explicit profile likelihoods with the Noble Element Simulation Technique

We present FlameNEST, a framework providing explicit likelihood evaluations in noble element particle detectors using data-driven models from the Noble Element Simulation Technique. FlameNEST provides a way to perform statistical analyses on real data with no dependence on large, computationally expensive Monte Carlo simulations by evaluating the likelihood on an event-by-event basis using analytic probability elements convolved together in a single TensorFlow multiplication. Furthermore, this robust framework creates opportunities for simple inter-collaboration analyses which will be fundamental for the future of experimental dark matter physics.

Activity Recognition With Machine Learning in Manual Grinding

Abstract Capturing data about manual processes and manual machining steps is important in manufacturing for better traceability, optimization, and better planning. Current manufacturing research focuses on sensor-based recognition of manual activities across multiple tools or power tools, but little on recognition within a versatile power tool type. Due to the strong influence of operator skill on process performance and consistency as well as many disturbance variables, activity recognition is a challenge in manual grinding. It is unclear how accurately manual activities can be recognized within one handheld grinder type across diverse trials. Therefore, this article investigates how manual activities can be recognized in diverse trials within an angle grinder type in a leave-one-trial-out cross-validation in comparison to classical cross-validation to identify the effect of diverse trials with four different classifies. An experimental study was conducted to collect measurement data with data loggers attached to two angle grinders, four manual activities with different abrasive tools, and three operators. Results show very good accuracies (97.68%) with cross-validation and worse accuracies (70.48%) with leave-one-trial-out cross-validation for the ensemble learning classifier. This means that recognition of the four chosen manual activities within an angle grinder is feasible but depends on how much the trial deviates from the reference training data. For further research on activity recognition in manual manufacturing, we propose the explicit consideration and evaluation of disturbance variables and diversity in data collection for the training of machine learning models.

RETRACTED ARTICLE: On explicit evaluation of certain linear alternating Euler sums and double t-values

AbstractIn this article, we present an explicit evaluation of certain linear alternating Euler-type sums of even weight, and an integral representation for double t-values

An Elementary Derivation of Finite Cotangent Sums

Finite cotangent sums are closely related to values of the Riemann zeta function at the positive even integers. Over the past decades, numerous authors have obtained explicit evaluations of these sums. In this note, we present an intuitive evaluation using Laurent coefficients of powers of the cotangent function. In fact, our expression is a concise restatement of a well-known formula by Berndt and Yeap that was obtained using contour integration.

Lattice studies of the Sp(4) gauge theory with two fundamental and three antisymmetric Dirac fermions

We consider the $Sp(4)$ gauge theory coupled to $N_f=2$ fundamental and $n_f=3$ antisymmetric flavours of Dirac fermions in four dimensions. This theory serves as the microscopic origin for composite Higgs models with $SU(4)/Sp(4)$ coset, supplemented by partial top compositeness. We study numerically its lattice realisation, and couple the fundamental plaquette action to Wilson-Dirac fermions in mixed representations, by adopting a (rational) hybrid Monte Carlo method, to perform non-trivial tests of the properties of the resulting lattice theory. We find evidence of a surface (with boundaries) of first-order bulk phase transitions in the three-dimensional space of bare parameters (one coupling and two masses). Explicit evaluation of the Dirac eigenvalues confirms the expected patterns of global symmetry breaking. After investigating finite volume effects in the weak-coupling phase of the theory, for the largest available lattice we study the mass spectra of the lightest spin-0 and spin-1 flavoured mesons composed of fermions in each representation, and of the lightest half-integer spin composite particle made of fermions in different representations -- the chimera baryon. This work sets the stage for future systematical studies of the non-perturbative dynamics in phenomenologically relevant regions of parameter space.

Языковая реализация оценки в интернет-коммуникации (на материале новостного инстаграм-аккаунта г. Томска)

The paper deals with the various ways of the expression of evaluation in Internet communication. The research material is the Internet commentaries of Tomsk news Instagram blog, which is one of the popular genres of virtual discourse. The purpose of the study is to identify and study linguistic means of implementing evaluation in a news Instagram account. The material analysis made it possible to discover the most frequent means of expressing of evaluation (lexical units and syntactic constructions). The most frequent means of expressing evaluation (lexical units and syntactic constructions) were determined. The article analyzes and describes the main characteristics of the means of implementing/ realizing implicit and explicit evaluation. The main characteristics of the means of implementing implicit and explicit evaluation are analyzed and described. The article examines the peculiarities of the representation of negative and positive evaluation, taking into account the discursive specifics in the Internet blog. The peculiarities of the representation of negative and positive evaluation in an Internet blog are investigated, taking into account the discursive specifics. From this article it is concluded that the main mean the expression of evaluation is irony. Its main parameters are described. As a result of the study, it was revealed that the main means of expressing the evaluation is irony, its main parameters are described.

LINGUISTIC REPRESENTATION OF EVALUATIVE PARAMETERS IN SPORTS COMMENTARY

Background. A skill to evaluate different objects and phenomena of the objective reality establishes the nature of the interaction of the individual with the surrounding environment. This skill is considered to be one of the most important constituents of human cognitive activity. The necessity to evaluate develops human thinking. Since evaluation causes high interest of the readers in the sporting event, it is of prime importance to analyze the ways of linguistic representation of evaluative parameters in sports commentary.&#x0D; Purpose. The article finds out and considers the evaluative parameters and their linguistic representation.&#x0D; Materials and methods. The research material comprises 4 football scripts taken from the Sportsmole sports website (https://www.sportsmole.co.uk). The componential and definitional analysis as well as discourse and contextual analysis together with the pragmatic and cognitive methods were used in the analysis of the scripts.&#x0D; Results. The results of the research study showed that high level of evaluation is very typical of the speech of the sports online commentator. Following classifications were presented: according to the subject of evaluation, to the scale of evaluation and the presence of an emotional component as well as an absolute and relative types of evaluation. A rational component in the commentator’s evaluative speech was investigated. It is considered to be a result of thinking activity of the addresser and is not connected with his or her emotions. An emotional component which is closely linked to inner feelings and emotions was also analyzed. A conclusion was drawn that the speech of sports commentators is characterized by explicit and implicit evaluation.&#x0D; Practical implications. The results of the research study contribute to the theoretical aspects development in the field of pragmatic linguistics and sports discourse. They can also be used in the lectures on pragmatic linguistics and lessons of the English language. The paper is of particular interest to the researchers of sports discourse and online commentary.

An explicit evaluation of $10^{\text{th}}$-power moment of quadratic Gauss sums and some applications

In this paper we have estimated one multi-variable character sum \begin{align*} \sum_{a=2}^{p-2}\sum_{b=1}^{p-1}\sum_{c=2}^{p-2}\sum_{d=1}^{p-1}\left(\frac{a^2-b^2}{p}\right)\left(\frac{b^2-1}{p}\right) \left(\frac{c^2-d^2}{p}\right)\left(\frac{d^2-1}{p}\right)\left(\frac{a^2c^2-1}{p}\right), \end{align*} for odd prime $p$. With the help of our estimate of the above character sum, we have studied the tenth power mean value of generalized quadratic Gauss sums using estimates for character sums and analytic methods.

Skill and Inter-Model Comparison of Regional and Global Climate Models in Simulating Wind Speed over South Asian Domain

Global Climate Models (GCMs) and Regional Climate Models (RCMs) have been widely used in understanding the impact of climate change on wind-driven processes without explicit evaluation of their skill. This study is oriented towards assessing the skill of 28 GCMs and 16 RCMs, and more importantly to assess the ability of RCMs relative to parent GCMs in simulating near-surface wind speed (WS) in diverse climate variable scales (daily, monthly, seasonal and annual) over the ocean and land region of the South Asian (SA) domain (11° S–30° N and 26° E–107° E). Our results reveal that the climate models’ competence varies among climate variable scales and regions. However, after rigorous examination of all climate models’ skill, it is recommended to use the mean ensemble of MPI-ESM-MR, CSIRO-Mk3.6.0 and GFDL-ESM2G GCMs for understanding future changes in wave climate, coastal sediment transport and offshore wind energy potential, and REMO2009 RCM driven by MPI-M-MPI-ESM-LR for future onshore wind energy potential assessment and air pollution modelling. All parent GCMs outperform the RCMs (except CCCma-CanESM2(RCA4)) over the ocean. In contrast, most RCMs show significant added value over the land region of the SA domain. Further, it is strongly discouraged to use the RCM WS simulations in modelling wind-driven processes based on their parent GCM’s skill over the ocean.

Formal Approach to Data Accuracy Evaluation

Usually, data quality is defined by multiple attributes that allow classifying the output data (such as completeness, freshness, and accuracy) or the methods exploiting these data (such as dependability, performance, and protection). Among the suggested quality attributes, we will discuss one of the principal categories: data accuracy. Scientific experiments, decisionmaking, and data retrieval are examples of situations that require a formal evaluation approach to data accuracy. The evaluation approach should be adaptable to distinct understandings of data accuracy and distinct enduser expectations. This study investigates data accuracy and defines dimensions and metrics that affect its evaluation. The investigation of data accuracy generates problems in the user expectation specification and database quality models. This work describes our proposed approach for data accuracy evaluation by defining an evaluation algorithm that considers the distribution of inaccuracies in database relations. The approach decomposes the query output in accordance with data accuracy, labels every part with its accuracy value, and addresses the possibility of enforcing data accuracy by using these values. This study mainly contributes by proposing an explicit evaluation of quality attributes of data accuracy, a formal evaluation approach to data accuracy, and suggesting some improvement actions to reinforce data accuracy.