bluuebunny/crossref_metadata_2025_split huggingface dataset:
Written languaging, language aptitude, and L2 learning through dictogloss tasks
Authors: Ishikawa Masako , Révész Andrea 
Published: May 2024

Abstract
Languaging, learners’ reflections/comments on language use, has been shown to facilitate second
language (L2) learning, presumably because it creates opportunities for noticing L2 constructions. If so, it would
appear that the extent to which learners can make use of these opportunities might be influenced by their aptitude, as
those with greater aptitude may be more prone to learning through noticing. Little research, however, has been
conducted to explore this possibility. This study investigated whether learners with varying degrees of language
analytic ability differentially benefit from engaging in written languaging when it is integrated into task-based
work. The study employed a pretest-posttest-delayed posttest design, with 64 participants assigned to two groups. As
part of dictogloss tasks, one group engaged in written languaging when comparing their reconstructed text with the
original. The other group received the same treatment but did not have the opportunity to carry out written languaging
during the dictogloss procedure. We measured language analytic ability with Part 4 of the MLAT, Part 2 of the LABJ,
and the LLAMA_F test. A grammar production test and a grammar recognition test were included to assess development in
the knowledge of the target construction, the if-clause of the present counterfactual conditional. Spearman
correlations revealed that language analytic ability had stronger relationship to participants’ learning when they did
not engage in written languaging than when they did during the dictogloss task. We interpreted this finding as
suggesting that written languaging can help mitigate the influence of language analytic ability on L2 learning.
The effects of planning type, working memory, and anxiety on L2 writing performance
Authors: An Hyejin , Li Shaofeng 
Published: May 2024

Abstract
This study explores (1) the effect of planning type on second language learners’ writing
performance and (2) the role of working memory and anxiety in different types of planning. 48 Korean high school
English as a foreign language learners participated in the study. Each learner composed a written narrative under one
of the three planning conditions: pre-task planning, within-task planning, and no planning. The results showed that
pre-task planning enhanced fluency, while within-task planning led to greater accuracy. Regarding the impact of
individual difference factors, it was found that that working memory was a significant predictor of morphosyntactic
accuracy of the pre-task planning group’s writing. Anxiety significantly predicted morphosyntactic accuracy across all
planning conditions, and it was a significant predictor of the syntactic complexity of the essays written under the
pre-task planning condition. Working memory and anxiety were not predictive of fluency and overall writing
quality.
A review of learner motivation and engagement research in task-based language teaching
Authors: Namkung Yoon , Kim YouJin 
Published: May 2024

Abstract
This chapter presents a systematic review of 54 studies on learner motivation and engagement in the
research domain of TBLT. The review focuses on various learner (e.g., first language), contextual (e.g., institution),
and task (e.g., task modality) characteristics in previous research. The operationalizations of learner motivation and
engagement in TBLT as well as the main themes of the findings in previous studies are investigated. The results of our
analysis revealed that learner motivation and engagement research in TBLT have examined a limited scope of learner
groups, contexts, and task features. Further, studies have adopted diverse operationalizations to capture the
multi-componential nature of the two constructs. In terms of the tools used to investigate learner motivation in TBLT,
research has heavily relied on questionnaires and verbal reports. The findings suggest a need for more longitudinal
research and more research using a bottom-up approach to examine the two constructs.
Teachers’ and learners’ beliefs about task-based language teaching
Authors: Dao Phung , Iwashita Noriko , Chi Nguyen Mai Xuan Nhat , Arias-Contreras Carolina 
Published: May 2024

Abstract
This chapter provides a systematic review of studies on learner/teacher beliefs in the context of
task-based language teaching (TBLT). This review aims to identify the foci, conceptualisation, operationalisation of
beliefs in TBLT, methodological characteristics, and major research findings. The results showed a lack of consistent
conceptualisation and operationalisation of the concept of beliefs, and the studies have focused more on teachers’
beliefs about TBLT than learners’. The results also demonstrated a number of methodological issues such as lack of
important background information about the participants and the study’s context, an excessive focus on English as a
target language, an over-reliance on the normative approach (as opposed to the contextual approach), and a lack of
clear and rigorus procedure for construct validation and data analysis. Despite these issues, the results show that
TBLT research on beliefs appears to head toward an appropriate direction by adopting multi-method approaches and using
diverse data collection tools. Also, the results show a promising picture for adopting and implementing TBLT in
diverse contexts from both teachers’ and learners’ perspectives.
Practitioners’ perspectives
Authors: Willis Jane 
Published: May 2024

Abstract
The aim of this chapter is to explore the potential of task-based language teaching to accommodate
a range of learner individual differences (IDs). As such it is different from previous chapters in this volume which
report research findings on separate individual differences. To supplement my own experience, I invited teachers I
knew who practised TBLT to contribute their observations and reflections on the IDs most relevant to TBLT in their
teaching contexts. Their experiences of using task-based language teaching in their classes shed light on how a
task-based approach can support learners with individual differences. The chapter then explores ways in which the
stages in a task-based lesson framework can address particular individual differences. The chapter contains practical
examples which illustrate aspects of task design and implementation that can accommodate one or more individual
differences. These will be of relevance to all language teachers including those in professional development programs
and novice teachers on pre-service teacher education courses.
Teacher IDs and task adaptations
Authors: Gurzynski-Weiss Laura , Bryfonski Lara , Reagan Derek 
Published: May 2024

Abstract
This multi-site study explores how 18 graduate-level L2 teacher participants adapted tasks from
the TBLT Language Learning Task Bank for specific learner needs and teaching contexts, and if their individual
differences (IDs) influenced their adaptations. Participants first completed a questionnaire about their experiences
as L2 learners and teachers, their knowledge of TBLT, and how they search for course materials. They then defined a
teaching context (current, past, or prospective), specified a task need (i.e., communicative practice of a specific
linguistic target), and identified task features to search for in the Task Bank. Next, participants screen captured
and recorded their search and evaluation of possible tasks while thinking aloud, choosing one to adapt to their
context. Finally, participants watched their video and submitted a written reflection. Bottom-up thematic analysis was
used to determine how participants adapted the tasks from the Task Bank, if their IDs related to the ways they adapted
their selected task, and whether these adaptations aligned with their specific teaching context. The results showed
that all 18 teachers were successful in adapting their tasks to align with their stated teaching context and learner
needs, demonstrating that the Task Bank works well for the target audience of diverse teachers. It was also found that
teacher IDs did not play a role in their task adaptations when examined separately. However, a qualitative cluster
analysis showed that more experienced teachers tended to focus on providing linguistic instruction and increasing
interaction in task adaptation while less experienced teachers utilized a wide array of techniques. The minimal ID
cluster profiles that were discernible lend support to the consideration of IDs in tandem with – rather than in
isolation from – each other.
Challenges of Women Working as Leaders in Aruba’s Hotel Industry
Authors: Jadnanansing Madhu S. , Martin Drew 
Published: May 2024

SummaryThe hotel industry tends to underrepresent females in top management positions. Arguably, this problem is more acute in small island nations where few higher management positions are available due to the smallness of the sector. This case study explores female hotel leaders’ perceptions of gender bias in Aruba’s hotel sector. Semi-structured interviews were expanded with the Zoomorphic Forced Metaphor Elicitation Technique (ZFMET). This method surfaces nonconscious memories and offers rich insights on study participants’ perception of the implicit bias barriers that they encountered. These self-reports include their cognitive and behavioral responses to these barriers. Results show how the female managers evolve as they overcame gender bias. Overall, the managers perceive that they have grown wiser, stronger, and more alert to the occurrence of implicit gender bias.Information© The Authors 2024
Black hole interior quantization: a minimal uncertainty approach
Authors: Bosso Pasquale , Obregón Octavio , Rastgoo Saeed , Yupanqui Wilfredo 
Published: May 2024

Abstract
In a previous work we studied the interior of the Schwarzschild black hole implementing an effective minimal length, by applying a modification to the Poisson brackets of the theory. In this work we perform a proper quantization of such a system. Specifically, we quantize the interior of the Schwarzschild black hole in two ways: once by using the standard quantum theory, and once by following a minimal uncertainty approach. Then, we compare the obtained results from the two approaches. We show that, as expected, the wave function in the standard approach diverges in the region where classical singularity is located and the expectation value of the Kretschmann scalar also blows up on this state in that region. On the other hand, by following a minimal uncertainty quantization approach, we obtain 5 new and important results as follows. (1) All the interior states remain well-defined and square-integrable. (2) The expectation value of the Kretschmann scalar on the states remains finite over the whole interior region, particularly where used to be the classical singularity, therefore signaling the resolution of the black hole singularity. (3) A new quantum number is found which plays a crucial role in determining the convergence of the norm of states, as well as the convergence and finiteness of the expectation value of the Kretschmann scalar. (4) A minimum for the radius of the (2-spheres in the) black holes is found (5) By demanding square-integrability of states in the whole interior region, an exact relation between the Barbero-Immirzi parameter and the minimal uncertainty scale is found.
Universality of quantum time dilation
Authors: Dębski Kacper , Grochowski Piotr T , Demkowicz-Dobrzański Rafał , Dragan Andrzej 
Published: May 2024

Abstract
Time dilation is a difference in measured time between two clocks that either move with different velocities or experience different gravitational potentials. Both of these effects stem from the theory of relativity and are usually associated with classically defined trajectories, characterized by position, momentum, and acceleration. However, when spatial degrees of freedom are treated in a quantum way and a clock is allowed to be in a coherent superposition of either two momenta or two heights, additional quantum corrections to classical time dilation appear, called kinematic and gravitational quantum time dilations, respectively. We show that similarly to its classical counterpart, kinematic quantum time dilation is universal for any clock mechanism, while gravitational quantum time dilation is not. We also show that although both of these effects reduce to incoherent averaging of different classical time dilation contributions, there exists an additional quantum time dilation effect that has no classical analog and can be extracted from higher-order corrections to the system’s Hamiltonian.
A new framework for soft x-ray transient gratings
Authors: Foglia L , Mincigrucci R , Doring F , Fainozzi D , Mamyrbayev T , Masciovecchio C , Bencivenga F 
Published: May 2024

AbstractThe capability to use extreme ultraviolet (EUV) light for generating transient gratings (TGs) has enabled the study of thermoelastic and magnetic dynamics at the nanoscale, in thin solid samples and surfaces, without the need of specially modifying them. However, the current mirror-based setup for generating EUV TG limits both its extension to the soft x-ray photon energy range and the attainment of few femtosecond time-resolution. Here we propose to overcome these limitations with an alternative experimental scheme based on diffractive optical elements that has become feasible with the current technology. In addition, some aspects of the discussed setup may facilitate the implementation of the EUV TG approach at table-top high-harmonic generation sources.
Distinguishing methane from other hydrocarbons using machine learning and atmospheric pressure plasma optical emission spectroscopy
Authors: Mansouri Tahereh Shah , Wang Hui , Mariotti Davide , Maguire Paul 
Published: May 2024

Abstract
The ability to detect gas molecule and assign a concentration offers an inventive solution in the field of plasma integrated with machine learning. The most important finding of this work is firstly, to develop an algorithm for gas-molecule identification using three different hydrocarbons (CH4, C2H2, C2H6) and secondly, organize a model for detecting gas concentration (classification). For this reason, initially eight different gases evaluated. The study confirms the present of the unique emission lines as a gas indicator, i.e., a wavelength peak related to hydrocarbons identified via increasing in C
x
H
y
concentration. By means of unique variable important in projection, hydrocarbons can be distinguished. Our proposed Chemometric analysis strategy examined on >1000 samples and results development of suitable techniques that are sufficiently rapid, accurate and innovative. This demonstrates the potential for real-time, portable, and continuous monitoring of trace gases with potential applications in medical, environmental, and industrial gas sensing.
Valley edge states with opposite chirality in temperature dependent acoustic media
Authors: Gulzari Muhammad , Zhang Quan , King Eoin , Tong Lihong , Lai S K 
Published: May 2024

Abstract
The valley degree of freedom in phononic crystals and metamaterials holds immense promise for manipulating acoustic and elastic waves. However, the impact of acoustic medium properties on valley edge state frequencies and their robustness to one-way propagation in valley topological phononic crystals remains unexplored. While significant attention has been devoted to scatterer design embedded in honeycomb lattices within acoustic and elastic media to achieve valley edge states and topologically protected nontrivial bandgaps, the influence of variations in acoustic medium properties, such as wave velocity and density affected by environmental temperature, has been overlooked. In this study, we investigate the effect of valley edge states and topological phases exhibited by topological phononic lattices in a temperature-dependent acoustic medium. We observe that a decrease in wave velocity and density, influenced by changing environmental temperature, shifts the topological valley edge states to lower frequencies. Therefore, alongside phononic lattice design, it is crucial to consider the impact of acoustic medium properties on the practical application of acoustic topological insulators. This issue becomes particularly significant when a topological phononic crystal is placed in a wave medium that transitions from incompressible to compressible, where wave velocity and density are no longer constant. Our findings offer a novel perspective on investigating topological insulators in variable acoustic media affected by changing thermodynamic and fluid properties.
Measurement of Si pixel sensor alignment for the ALICE ITS detector
Authors: Satya Wicaksana Ahmad , Prakasa Esa , Di Mauro Antonio , Wardoyo Siswo 
Published: May 2024

Abstract
A Large Ion Collider Experiment (ALICE) experiment is one of the four experiments at the Large Hadron Collider (LHC) designed to investigate the status of matter under very high energy densities produced during heavy-ion collisions. The ALICE inner tracking system (ITS) consists of seven concentric cylindrical layers of monolithic silicon pixel sensors known as ALICE pixel detector (ALPIDE). The sensors are used to reconstruct the paths of charged particles generated in the collisions. The sensor alignment of the detector must be adjusted to a high precision standard. The adjustment objective is to obtain a detector that can undertake high-resolution measurements. This paper introduces a method for measuring the reference markers utilized in sensor alignment determination. Markers engraved at the chip corners have been detected using the Hough transform, Canny edge detection, and template matching techniques. The distances between two markers are measured to determine the accuracy of the pixel sensor alignment before and after assembly. The proposed methods exhibit an accuracy exceeding 99% and demonstrate high speed analysis. The average processing times for detecting the circle and cross markers are 105.9 ms/image and 113.8 ms/image, respectively. The sensor alignment of the detector must be adjusted to a high precision standard. However, recent studies have shown deviations of up to

5

μ

m

above the desired value in the measured sensor position. Such deviations do not represent a major issue, nevertheless it is important to measure them in order to speed-up and make more accurate the recursive track-based alignment procedure used to reconstruct the position of each pixel sensor in the tracking detector. The proposed method offers a promising solution to deliver precise and rapid measurements for a large number of examined objects.
CAC-YOLOv8: real-time bearing defect detection based on channel attenuation and expanded receptive field strategy
Authors: Liu Bushi , Zhao Yue , Chen Bolun , Yu Cuiying , Chang KaiLu 
Published: May 2024

Abstract
Bearing defect detection plays a crucial role in the intelligent production of chemical transmission equipment, where timely identification and handling of defective bearings are essential. However, in practical large-scale industrial production, product surface defects are often complex, diverse, and exhibit significant variations in appearance, posing severe challenges to the discriminative ability and detection efficiency of bearing defect detection algorithms. This paper proposes a real-time bearing surface defect detection algorithm, CAC-YOLOv8, which designs the Channel Attenuation Network (CAN) and Compound Pooling Pyramid Spatial Pyramid Pooling Fast (CPPSPPF) structure. Specifically, the model introduces the Channel Attenuation Network to achieve parallel feature extraction, deep feature processing, and feature fusion under different channel numbers, capturing critical features related to bearing defects and thereby improving the inference speed. Subsequently, based on the concept of overlapped receptive fields, a CPPSPPF structure is constructed, utilizing multiple iterations of max-pooling operations with smaller pooling kernel sizes to prevent information loss while expanding the receptive field, thereby strengthening the capturing ability of features at different scales. The experimental results indicate that the proposed CAC-YOLOv8 bearing surface defect detection algorithm, compared to the YOLOv8 model, achieved a 0.3% improvement in mAP@0.5, reduced model size by 14.4%, and enhanced model inference speed by 33.3%. This enables the CAC-YOLOv8 model to significantly improve the real-time performance of bearing defect detection while maintaining high-precision detection. The performance in practical industrial detection demonstrates that the proposed approach has achieved outstanding results in both speed and accuracy.
An adaptive frequency-based C/N0-constrained multipath extraction and mitigation method for GNSS pseudorange measurements
Authors: Liu Ruofan , Li Wanqing , Huang Xuewei , Song Jiangbo , Dai Zhiqiang , Zhu Xiangwei 
Published: May 2024

Abstract
The multipath effect poses an inevitable challenge for Global Navigation Satellite System (GNSS) receivers, particularly pronounced in smart devices, which are nevertheless the most common means through which the general public accesses GNSS positioning. Therefore, we propose a novel adaptive method for extracting multipath errors, which fully exploits the multipath frequency characteristics, multipath repeatability, and the correlation between multipath errors and carrier-to-noise ratio (C/N0). This approach aims to enhance the susceptibility of smart devices to multipath influences. Specifically, this method uses the code minus carrier method to calculate the noisy multipath error, exploits the correlation between C/N0 and multipath to constrain the frequency range, employs the ensemble empirical mode decomposition method to decompose the error signal, and utilizes the Hilbert–Huang transform method to obtain the frequency information of the signal component. In multipath repeatability, the proposed method can effectively improve the correlation of multipath signals by up to 0.79. By applying the extraction method, the positioning performance of smart devices can be improved by 13.9%. Therefore, the proposed method extracts multipath error more accurately and is highly usable in low-cost devices.
Electron–phonon coupling and a resonant-like optical observation of a band inversion in topological crystal insulator Pb1−x
Sn
x
Se
Authors: Woźny M , Szuszkiewicz W , Dyksik M , Motyka M , Szczerbakow A , Bardyszewski W , Story T , Cebulski J 
Published: May 2024

Abstract
The optical reflectivity of n-type Pb0.865Sn0.135Se and Pb0.75Sn0.25Se solid solutions was measured in the THz spectral region energetically corresponding to optical phonon excitations and in the temperature range from 40 K to 280 K. The first solid solution exhibits an open energy gap with trivial band ordering at all temperatures, while for the second one the transition from trivial insulator to topological crystal insulator phase is expected. The analysis of Pb0.75Sn0.25Se data performed within the dynamic dielectric function formalism revealed an anomaly of resonance-like character in the temperature dependence of LO phonon frequency. The formula for LO phonon energy renormalization reproduced observed anomaly for energy gap equal to zero, the phase transition occurred at T
0 = (172 ± 2) K. This effect was absent for Pb0.865Sn0.135Se. Present results show that reflectivity measurements in the THz range in the vicinity of LO phonon frequency can be valuable experimental method for precise determining of band inversion temperature in narrow-gap topological materials.