bluuebunny/crossref_metadata_2025_split huggingface dataset:
Harmonic impedance optimization scheme for multi‐resonance systems to suppress resonance
Authors: Sun Xing , Lei Wanjun , Dai Yuqi , Deng Lizi , Zhang Xiaotong , Hu Linqiang , Liu Qian 
Published: May 2024

AbstractHarmonic resonance is caused by harmonic source matching resonance frequency and presents the characteristics of decentralization and whole network in modern grids. The current resonance suppression methods mainly focus on reducing the harmonic source, and are suitable for single‐site and small‐scale grids. This paper presents a new method for suppressing parallel resonance at system level. The holistic harmonic resonance is suppressed by reducing the harmonic impedance. In addition, new resonances are prevented by weakening the coupling between resonance and non‐resonance frequencies. The resonance modal analysis and resonance frequency shift (RFS) are employed to optimize harmonic impedance. Simulation results indicate that the capacitance parameter has higher sensitivity and is theoretically more suitable for RFS. Considering the accuracy of modal frequency sensitivity, a variable‐limit genetic algorithm for iteration is proposed. The validity of the proposed method was verified using an IEEE 14‐bus test network.
High‐resolution 3D imaging by microwave photonic time division multiplexing‐multiple‐input‐multiple‐output radar with broadband digital beamforming
Authors: Zhou Yuewen , Zhang Fangzheng , Kong Jiayuan , Pan Shilong 
Published: May 2024

AbstractA broadband microwave photonic time division multiplexing (TDM) multiple‐input‐multiple‐output (MIMO) radar is proposed in which photonic frequency quadrupling is adopted to generate broadband radar signals and photonic frequency mixing is implemented for de‐chirping processing of radar echoes. By utilising two radio frequency switches to control the signal transmission and reception, TDM‐MIMO mechanism is formed using a single microwave photonic radar transceiver. This microwave photonic TDM‐MIMO radar not only achieves high range resolution using broadband processing but also enables high angular resolution and forward‐looking imaging capability with low system complexity. Besides, a broadband digital beamforming (DBF) method is introduced to solve the broadband beam squint and broadening problems and implement near‐field correction. In the experiment, a microwave photonic TDM‐MIMO radar with an 8×8 T‐shape antenna array is established with a bandwidth of 8 GHz (18–26 GHz) in each channel. The range and angular resolutions are estimated to be ∼2 cm and ∼2°, respectively. Applying the broadband DBF method, high‐resolution 3D imaging of small targets is achieved with good focusing of targets and deep suppression of grating lobes and side lobes. Hence, the proposed microwave photonic TDM‐MIMO radar with broadband DBF provides a promising solution for high‐resolution 3D imaging.
Unveiling the gas phase H2NCO radical: Laboratory rotational spectroscopy and interstellar searches in the direction of IRAS 16293-2422
Authors: Martin-Drumel Marie-Aline , Coutens Audrey , Loison Jean-Christophe , Jørgensen Jes K. , Pirali Olivier 
Published: May 2024

Context. The carbamoyl radical (H2NCO) is believed to play a central role in the ice-grain chemistry of crucial interstellar complex organic molecules such as formamide and acetamide. Yet, little is known about this radical, which remains elusive in laboratory gasphase experiments.
Aims. In order to enable interstellar searches of H2NCO, we have undertaken a mandatory laboratory characterisation of its pure rotational spectrum.
Methods. We report the gas-phase laboratory detection of H2NCO, produced by H-atom abstraction from formamide, using pure rotational spectroscopy at millimetre and submillimetre wavelengths. Millimetre-wave data were acquired using chirped-pulse Fourier-transform spectroscopy, while submillimetre-wave ones were obtained using Zeeman-modulated spectroscopy. Experimental measurements were guided by quantum-chemical calculations at the ωB97X-D/cc-pVQZ level of theory. Interstellar searches for the radical have been undertaken in the Protostellar Interferometric Line Survey (PILS) towards the solar-type protostar IRAS 16293-2422.
Results. From the assignment and fit of experimental transitions up to 660 GHz, reliable spectroscopic parameters for H2NCO in its ground vibrational state have been derived, enabling accurate spectral predictions. No transitions of the radical were detected in the PILS survey. The inferred upper limit shows that the H2NCO abundance is at least 60 times below that of formamide and 160 times below that of HNCO in this source; a value that is in agreement with predictions from a physico-chemical model of this young protostar.
Detecting contract cheating through linguistic fingerprint
Authors: Kutbi Mohammed , Al-Hoorie Ali H. , Al-Shammari Abbas H. 
Published: May 2024

AbstractContract cheating, the act of students enlisting others to complete academic assignments on their behalf, poses a significant challenge in academic settings, undermining the integrity of education and assessment. It involves submitting work that is falsely represented as the student’s own, thus violating academic standards and ethics. The advent of artificial intelligence-based language models, such as ChatGPT, has raised concerns about the potential impact of contract cheating. As these language models can generate human-like text with ease, there are concerns about their role in facilitating and increasing contract cheating incidents. Innovative approaches are thus needed to detect contract cheating and address its implications for academic integrity. This study introduces a machine learning (ML) model focused on identifying deviations from a learner’s unique writing style (or their linguistic fingerprint) to detect contract cheating, complementing traditional plagiarism detection methods. The study involved 150 learners majoring in engineering and business who were studying English as a foreign language at a college in Saudi Arabia. The participants were asked to produce descriptive essays in English within a consistent genre over one semester. The proposed approach involved data preprocessing, followed by transformation using Term Frequency-Inverse Document Frequency (TF-IDF). To address data imbalance, random oversampling was applied, and logistic regression (LR) was trained with optimal hyperparameters obtained through grid search. Performance evaluation was conducted using various metrics. The results showed that the ML model was effective in identifying non-consistent essays with improved accuracy after implementing random oversampling. The LR model achieved an accuracy of 98.03%, precision of 98.52%, recall of 98.03%, and F1-score of 98.24%. The proposed ML model shows promise as an indicator of contract cheating incidents, providing an additional tool for educators and institutions to uphold academic integrity. However, it is essential to interpret the model results cautiously, as they do not constitute unequivocal evidence of cheating but rather serve as grounds for further investigation. We also emphasize the ethical implications of such approaches and suggest avenues for future research to explore the model’s applicability among first-language writers and to conduct longitudinal studies on second-language learners’ language development over longer periods.
The impact of text type on Chinese-English translation effort: an investigation with reference to translation entropy
Authors: Liu Xiao , Cui Ying 
Published: May 2024

AbstractVarious factors affect translation effort. This research aims to explore the impact of source text type on Chinese-English translation effort with reference to translation entropy. An eye-tracking and key-logging experiment was conducted. Thirty-one student translators translated four text types, namely legal, advertising, news, and poetic texts. Data analyses show that there is a significant difference in participants’ effort of translating the four texts, which can be seen in such indicators as subjective ratings, fixation, pause, translation time, and edits. We further studied participants’ translations and calculated the translation entropy for each text type, which is a measure of uncertainty in translation. Analysis shows that there is a significant difference in translation entropy among the four text types, which provides evidence that source text features affect translation uncertainty and, hence, translation effort to search for appropriate options. The discussions are intended to provide further insight into the impact of text type on the translation process, and the result confirms the reliability of translation entropy as a predictor of translation effort.
Examining consumer behavior towards adoption of quick response code mobile payment systems: transforming mobile payment in the fintech industry
Authors: Yamin Mohammad Ali Yousef , Abdalatif Omima Abdalla Abass 
Published: May 2024

AbstractThe quick response (QR) code-enabled mobile payment has gained large attention from academicians and policymakers due to its fast, convenience, and usefulness. However, acceptance of this technology among consumers is limited and rare in a few cases. Therefore, current research attempts to gain insight into factors that influence consumer behavior to adopt QR code-enabled mobile payment. This research has developed an integrated research framework that combines the technology acceptance model, theory of reasoned action, transaction speed, convenience, and innovativeness to investigate consumer behavior to adopt QR code mobile payment. In addition to that moderating effect of transaction speed is tested between consumer attitude and intention to adopt QR code-driven mobile payment. This study empirically investigates consumer attitudes and intention to adopt the QR mobile payment system with 216 responses. Findings of the statistical analysis have revealed that perceived usefulness, perceived ease of use, convenience, subjective norms, and innovativeness explained a substantial variance $${R}^{2}$$

R

2

52.3% in measuring user attitude to adopt QR code-enabled mobile payment. Practically, this study suggests that policymakers should pay attention to perceived convenience, transaction speed, subjective norm, and perceived usefulness to boost consumer attitude and intention to adopt QR-enabled mobile payment. This study is unique as it integrates the technology acceptance model and theory of reasoned action to investigate consumer behavior towards the adoption of QR code mobile payment. This study is also valuable as it examines the moderating effect of transaction speed between consumer attitude to accept QR code and their intention to adopt QR code-driven mobile payment and adds a new dimension to information system literature.
Technology factors and ERP system efficiency in the Jordanian industrial firms: does company size matter?
Authors: Lutfi Abdalwali , Alqudah Hamza , Al-Daoud Khaleel Ibrahim , Zaqeeba Nidal , Alrawad Mahmaod , Almaiah Mohammed Amin 
Published: May 2024

AbstractThe study was structured to investigate the impact of technological factors on the effectiveness of enterprise resource planning (ERP) in Jordanian industrial firms, using a descriptive-analytical approach. This study also examines company size as a moderator variable, which has been measured using the logarithm of total assets extracted from each firm’s annual report. The study’s target population consisted of all Jordanian industrial firms listed on the Amman Stock Exchange, totaling 55 firms. Managers participated as respondents, with 220 questionnaires distributed electronically, averaging four questionnaires per company. After data collection, 92 valid questionnaires were used for statistical analysis. The findings indicate a significant and positive relationship between technological factors (such as ease of use, perceived usefulness, and digital proficiency) and ERP system effectiveness in Jordanian industrial firms. However, the study revealed that trust, as one of the technological factors, did not significantly impact ERP system efficiency. Additionally, it was found that the moderating role of company size moderates positively the relationship between two technological factors (i.e., perceived usefulness and digital proficiency), and ERP system efficiency. The research suggests that industrial firms in Jordan should take into account technological factors, including factors like ease of use, perceived usefulness, and digital proficiency, to remain current with advancements that can improve the efficiency of ERP systems. This is important due to the positive influence it can have on the operational effectiveness of Jordanian industrial companies, aiding them in their planning and decision-making processes.
Are migrants a threat? Migrant children and human capital investments among local households in urban China
Authors: Zheng Xiaodong , Zhou Yanran 
Published: May 2024

AbstractThe educational spillovers of migrant children in receiving areas have drawn widespread attention in countries undergoing massive internal migration. Yet few studies have explored how migrant students affect the decision-making process of native households. This study examines the effects and underlying mechanisms of internal migrant children on human capital investments among local households in urban China. Leveraging the random student-classroom assignment within middle schools, we find that migrant peer composition has a significant positive impact on local households’ spending on their children’s education, especially out-of-school education expenditure. These positive effects are more pronounced among local students who are male, in the ninth grade, and come from high socioeconomic status families. The results of our mechanism analysis suggest that the presence of migrant children leads local parents to overestimate their children’s academic performance and raises concerns about potential adverse effects on their children’s educational outcomes. However, we have not found compelling evidence indicating that migrant classmates significantly affect local students’ learning environment, emotional well-being, and actual academic achievements. Our study contributes to the ongoing debate on the educational inclusion of internal migrant children in China and similar contexts, highlighting the importance of addressing the biased beliefs of local households over migrants.
Family Support and Type 2 Diabetes Self-management Behaviors in Underserved Latino/a/x Patients
Authors: Hiefner Angela R , Raman Shivani , Woods Sarah B 
Published: May 2024

Abstract

Background
Latino/a/x families experience persistent Type 2 diabetes mellitus (T2DM) disparities, including higher rates of diagnosis and mortality due to disease complications than their non-Hispanic White counterparts. Though greater social support is associated with improved disease outcomes for Latino/a/x patients with diabetes, research has yet to identify the specific pathways through which social support, and specifically family support, influences self-management.

Purpose
This study tested a theoretical model highlighting the mechanisms and pathways linking social support and physical health. Specifically, self-efficacy and depression were tested as psychological pathways connecting family support to diabetes self-management behaviors and diabetes morbidity in Latino/a/x patients with T2DM.

Methods
Data from 177 patients were analyzed using structural equation modeling. Measures included diabetes-specific family support needed and received, depressive symptoms, self-efficacy in diabetes management, diabetes self-management behaviors, health appraisal, and hemoglobin A1c.

Results
Greater diabetes-specific family support was significantly associated with more frequent engagement in diabetes self-management behaviors, both directly (p &lt; .001) and through diabetes self-efficacy’s partial mediation of this relationship (p = .013). Depression was not significantly associated with either family support (support received, p = .281; support needed, p = .428) or self-management behaviors (p = .349).

Conclusions
Family support and diabetes self-efficacy may be important modifiable psychosocial factors to target via integrated care interventions aimed at supporting Latino/a/x patients with T2DM. Future research is needed to test empirically based, culturally adapted interventions to reduce T2DM-related health disparities in this population.
ChatGPT as a teaching tool: Preparing pathology residents for board examination with AI-generated digestive system pathology tests
Authors: Laohawetwanit Thiyaphat , Apornvirat Sompon , Kantasiripitak Charinee 
Published: May 2024

Abstract

Objectives
To evaluate the effectiveness of ChatGPT 4 in generating multiple-choice questions (MCQs) with explanations for pathology board examinations, specifically for digestive system pathology.

Methods
The customized ChatGPT 4 model was developed for MCQ and explanation generation. Expert pathologists evaluated content accuracy and relevance. These MCQs were then administered to pathology residents, followed by an analysis focusing on question difficulty, accuracy, item discrimination, and internal consistency.

Results
The customized ChatGPT 4 generated 80 MCQs covering various gastrointestinal and hepatobiliary topics. While the MCQs demonstrated moderate to high agreement in evaluation parameters such as content accuracy, clinical relevance, and overall quality, there were issues in cognitive level and distractor quality. The explanations were generally acceptable. Involving 9 residents with a median experience of 1 year, the average score was 57.4 (71.8%). Pairwise comparisons revealed a significant difference in performance between each year group (P &lt; .01). The test analysis showed moderate difficulty, effective item discrimination (index = 0.15), and good internal consistency (Cronbach’s α = 0.74).

Conclusions
ChatGPT 4 demonstrated significant potential as a supplementary educational tool in medical education, especially in generating MCQs with explanations similar to those seen in board examinations. While artificial intelligence–generated content was of high quality, it necessitated refinement and expert review.
Sources of noise exposure across Australian workplaces: cross-sectional analysis and modelling the impact of a targeted noise-source reduction initiative
Authors: Lewkowski Kate , Heyworth Jane S , McCausland Kahlia , Williams Warwick , Fritschi Lin 
Published: May 2024

Abstract

Context
Workplace noise regulations and guidance follow the hierarchy of control model that prioritizes eliminating or reducing noise at its source.

Objectives
To determine the main sources of workplace noise exposure in the Australian working population and estimate the reduction of workers exposed over the noise limit (LAeq,8h &gt; 85 dB) if noise levels of specific tools or equipment were reduced by 10 dB.

Methods
Information on the tools used and tasks performed during each participant’s last working shift was collected from 4,977 workers via telephone survey. Using a predetermined database of task-based noise levels, partial noise exposures (Pa2h) were determined for each noisy activity performed by the workers and their daily noise exposure level (LAeq,8h) was estimated. Partial exposures were categorized into 15 tool/task groups and the tally, average, and sum (Pa2h) for each group were calculated. The impacts of 5 different scenarios that simulated a reduction of 10 dB in noise emissions for specific tool groups were modelled.

Results
Powered tools and equipment were responsible for 59.3% of all noise exposure (Pa2h); vehicles for 10.6%; mining, refineries, and plant equipment for 5.1%; and manufacturing and food processing for 4.2%. Modelling demonstrated that a 10 dBA noise-level reduction of all powered tools and equipment would lead to a 26.4% (95% confidence interval: 22.7% to 30.3%) reduction of workers with an LAeq,8h &gt; 85 dB. This could represent over 350,000 Australian workers no longer exposed above the workplace limit daily.

Conclusions
A universal reduction of 10 dB to power tools and equipment would substantially reduce the future burden of hearing loss, tinnitus, workplace injuries, and other health effects. Initiatives to reduce the noise emissions of specific powered tool groups are warranted.
A ‘withdrawal’ syndrome: counsel resignations in international arbitrations
Authors: Satish Ksheeraja , Satish Harshitha 
Published: May 2024

Abstract
The Russia–Ukraine conflict has grabbed the world’s attention as a grave breach of a state’s sovereignty. Among the several implications of the conflict, it has opened a Pandora’s box with counsel and law firms resigning from representing Russia and Russian entities in international legal proceedings including arbitrations. Counsel resignation, once completely within the decision-making of clients and counsel, has grown into an issue that requires third-party deliberations and adjudication. Though trite in law that a counsel and a client have mutual rights to end professional ties between each other, a counsel’s voluntary resignation in arbitration remains unexplored. This necessitates a global discussion as it directly encroaches upon the fundamental rule of law that every person has the right to be represented and defended. Thus, counsel resignation has been elevated to a moral quandary of professional obligations. The aim of this article is to draw a broad outline of the present legal position on counsel resignations, the conundrums surrounding it, and the scope of an arbitral tribunal’s jurisdiction to interfere in these matters.
Alkane-translocated cells of Rhodococcus strains utilize dissolved oxygen in the alkane phase of an aqueous-alkane two-phase culture
Authors: Iwabuchi Noriyuki , Takihara Hayato 
Published: May 2024

ABSTRACT
To clarify the growth mechanisms of Rhodococcus in the alkane phase, we measured oxygen utilization in the alkane phase. The results showed that dissolved oxygen decreased significantly when viable cells were present in the alkane phase. The findings suggested that Rhodococcus strains can grow in alkanes and utilize the resident dissolved oxygen.
Mental Health Social Work Practice: Navigating Tensions
Authors: Whitaker Louise , Smith Fiona , Velander Fredrik , Petrakis Melissa , Deacon Emily , Simboli Tim , Clark Cynthia , Lue Julian , Rocca Amanda , Morris Brenda 
Published: May 2024

Abstract
The United Nations Special Rapporteur has called for ‘a revolution in mental health care to end decades of neglect, abuse and violence…enabl[ing] a long overdue shift to a rights-based approach’ (United Nations Human Rights Office of the High Commissioner, 2017). Principles underpinning social work practice with people living with mental distress who receive diagnoses such as schizophrenia, personality disorders and bipolar disorder, align with sought after changes. Using Cooperative Inquiry and referring to the Model of Holistic Competence in Social Work, this study investigated mental health social work seeking to foster this shift. Findings confirmed inherent discordance between social work values and mental health care dominated by biomedical and neoliberal views. Upholding social work values in this context involves complex practice, integrating procedural and meta-competencies. By incorporating skills in relational practice and advocacy; knowledge of multiple explanatory frameworks for mental health and mental health systems literacy; self-regulation; fostering tenacity whilst addressing ‘othering’; and judgement informing choices around conformity and confrontation, social work navigates tensions associated with this discordance. This paper highlights the nature of values-based social work practice as aligned with mental health reforms.