bluuebunny/crossref_metadata_2025_split huggingface dataset:
LanguageScreen: The Development, Validation, and Standardization of an Automated Language Assessment App
Authors: Hulme Charles , McGrane Joshua , Duta Mihaela , West Gillian , Cripps Denise , Dasgupta Abhishek , Hearne Sarah , Gardner Rachel , Snowling Margaret 
Published: May 2024

Purpose:Oral language skills provide a critical foundation for formal education and especially for the development of children's literacy (reading and spelling) skills. It is therefore important for teachers to be able to assess children's language skills, especially if they are concerned about their learning. We report the development and standardization of a mobile app—LanguageScreen—that can be used by education professionals to assess children's language ability.Method:The standardization sample included data from approximately 350,000 children aged 3;06 (years;months) to 8;11 who were screened for receptive and expressive language skills using LanguageScreen. Rasch scaling was used to select items of appropriate difficulty on a single unidimensional scale.Results:LanguageScreen has excellent psychometric properties, including high reliability, good fit to the Rasch model, and minimal differential item functioning across key student groups. Girls outperformed boys, and children with English as an additional language scored less well compared to monolingual English speakers.Conclusions:LanguageScreen provides an easy-to-use, reliable, child-friendly means of identifying children with language difficulties. Its use in schools may serve to raise teachers' awareness of variations in language skills and their importance for educational practice.
Utility of Serum Anti-Müllerian Hormone Measurement as Part of Polycystic Ovary Syndrome Diagnosis
Authors: Piltonen Terhi T. , Viita-aho Johanna , Saarela Ulla , Melin Johanna , Forslund Maria 
Published: May 2024

AbstractThe 2023 international evidence-based guideline update for the assessment and management of polycystic ovary syndrome (PCOS) recommends using the Rotterdam criteria for the diagnosis of PCOS. The updated guideline has evidence-based recommendation for the diagnosis, and it now also includes serum anti-Müllerian hormone (AMH) measurement as an alternative tool for gynecological ultrasound to diagnose polycystic ovary morphology (PCOM). The aim of this new recommendation was to facilitate PCOS diagnostic workup in primary care and other disciplines, as currently most diagnosing is done in gynecology and infertility clinics. Here, we review factors affecting AMH levels as well as the utility of AMH in PCOS diagnosis. We identified relevant studies that report different cut-offs for AMH to diagnose PCOM as part of PCOS diagnosis. There are, however, some limitations when using AMH that should be acknowledged. These include physiological aspects like age, ethnicity, and obesity and iatrogenic causes like hormonal medication and ovarian surgery. Also reference ranges are different depending on AMH assay used. As a summary, we conclude that AMH is a usable tool in PCOM diagnostics, but it does not have a single cut-off. Therefore, further studies are needed to establish age and assay-based reference ranges.
Potentially Life-Threatening Interaction between Opioids and Intrathecal Baclofen in Individuals with a Childhood-Onset Neurological Disorder: A Case Series and Review of the Literature
Authors: van Dijk Liza M.M. , van Zwol Annelies , Buizer Annemieke I. , van de Pol Laura A. , Slot K. Mariam , de Wildt Saskia N. , Bonouvrié Laura A. 
Published: May 2024

Abstract
Background Spasticity and dystonia are movement impairments that can occur in childhood-onset neurological disorders. Severely affected individuals can be treated with intrathecal baclofen (ITB). Concomitant use of ITB and opioids has been associated with central nervous system (CNS) depression. This study aims to describe the clinical management of this interaction, based on a case series and review of literature.
Methods Four individuals with childhood-onset CNS disorders (age 8–24) and CNS-depressant overdose symptoms after the concomitant use of ITB and opioids are described. The Drug Interaction Probability Scale (DIPS) was calculated to assess the cause-relationship (doubtful <2, possible 2–4, probable 5–8, and highly probable >8) of the potential drug–drug interaction. A literature review of similar previously reported cases and the possible pharmacological mechanisms of opioid–baclofen interaction is provided.
Results After ITB and opioid co-administration, three out of four patients had decreased consciousness, and three developed respiratory depression. DIPS scores indicated a possible cause-relationship in one patient (DIPS: 4) and a probable cause-relationship in the others (DIPS: 6, 6, and 8). Discontinuation or adjusting ITB or opioid dosages resulted in clinical recovery. All patients recovered completely. In the literature, two articles describing nine unique cases were found.
Conclusion Although the opioid–ITB interaction is incompletely understood, concomitant use may enhance the risk of symptoms of CNS-depressant overdose, which are potentially life-threatening. If concomitant use is desirable, we strongly recommend to closely monitor these patients to detect interaction symptoms early. Awareness and monitoring of the potential opioid–ITB interaction is essential to reduce the risk of severe complications.
The impact of environmental decentralization on the export domestic value-added rate of enterprises in China
Authors: Hu Yuanhong , Liu Pengling , Xia Jinxing 
Published: May 2024

AbstractThis paper examines the impact of environmental decentralization on the export domestic value-added rate of enterprises using combined data from 2000–2014 from China Industrial Enterprise Database, China Customs Database, WIOD, China Environment Yearbook and China Enterprise Patent Database. The research findings show that the overall environmental decentralization has an inverted U-shaped impact on enterprises’ export DVAR, with 94.4% of the sample in the promotion interval. 73.2% of ordinary trade enterprises and 85.7% of processing trade enterprises are in the suppressive interval of the U-shaped impact of administrative decentralization; 69.2% of ordinary trade enterprises are in the suppressive interval of the U-shaped impact of monitoring decentralization, and 85.7% of processing trade enterprises are in the promotion range of the inverted U-shaped impact; 66.0% of ordinary trade enterprises and 86.7% of processing trade enterprises are in the suppression range of the U-shaped impact of monitoring decentralization. In addition, cost markup and R&D innovation as mediating variables are important transmission channels for environmental decentralization to influence enterprises’ export DVAR.
Uncovering the essence of diverse media biases from the semantic embedding space
Authors: Huang Hong , Zhu Hua , Liu Wenshi , Gao Hua , Jin Hai , Liu Bang 
Published: May 2024

AbstractMedia bias widely exists in the articles published by news media, influencing their readers’ perceptions, and bringing prejudice or injustice to society. However, current analysis methods usually rely on human efforts or only focus on a specific type of bias, which cannot capture the varying magnitudes, connections, and dynamics of multiple biases, thus remaining insufficient to provide a deep insight into media bias. Inspired by the Cognitive Miser and Semantic Differential theories in psychology, and leveraging embedding techniques in the field of natural language processing, this study proposes a general media bias analysis framework that can uncover biased information in the semantic embedding space on a large scale and objectively quantify it on diverse topics. More than 8 million event records and 1.2 million news articles are collected to conduct this study. The findings indicate that media bias is highly regional and sensitive to popular events at the time, such as the Russia-Ukraine conflict. Furthermore, the results reveal some notable phenomena of media bias among multiple U.S. news outlets. While they exhibit diverse biases on different topics, some stereotypes are common, such as gender bias. This framework will be instrumental in helping people have a clearer insight into media bias and then fight against it to create a more fair and objective news environment.
Discourse construction of Chinese modernization from the perspective of Malaysian media
Authors: Wang Dongping , Liang Siping 
Published: May 2024

AbstractThis study uses corpus critical discourse analysis to examine the reporting strategies and affective attitudes of Malaysian media towards Chinese modernization. The analysis is based on 192 related news reports and aims to reveal how Malaysian media interpret and construct the discourse of Chinese modernization. The study finds that Malaysian media reports show a diversity of attitudes, with positive and neutral reports dominating and negative reports occupying a small proportion, which needs counter-stigmatization. The study emphasizes the importance of constructing the discourse of Chinese modernization and points out adopting flexible and diversified strategies to construct a foreign discourse system. This study provides new perspectives for understanding the concept of Chinese modernization in the context of globalization and highlights the importance of strengthening media exchanges and cooperation between China and Malaysia.
Searches for compact binary coalescence events using neural networks in LIGO/Virgo third observation period
Authors: Menéndez-Vázquez A , Andrés-Carcasona M , Martínez M , Mir Ll M 
Published: May 2024

Abstract
We present the results on the search for the coalescence of compact binary mergers using convolutional neural networks (CNNs) and the LIGO/Virgo data for the O3 observation period. Two-dimensional images in time and frequency are used as input. The analysis is performed in three separate mass regions covering the range for the masses in the binary system from 0.2 M

⊙

to 100 M

⊙

, excluding very asymmetric mass configurations. We explore neural networks trained with input information from pairs of interferometers or all three interferometers together, concluding that the use of the maximum information available leads to an improved performance. A scan over the O3 data set, using the CNNs, is performed with different false rate thresholds for claiming detection of at most one event per year or at most one event per week. The latter would correspond to a loose online selection still leading to affordable false alarm rates. The efficiency of the neutral networks to detect the O3 catalog events is discussed. In the case of a false rate threshold of at most one event per week, the scan leads to the detection of about 50% of the O3 catalog events. Once the search is limited to the catalog events within the mass range used for neural networks training, the detection efficiency increases up to 70

%

. Further improvement in search efficiency, using the same type of algorithms, will require the implementation of new criteria to suppress the remaining major background sources.
Kinetically anisotropic Hamiltonians: plane waves, Madelung streamlines and superpositions
Authors: Berry M V 
Published: May 2024

Abstract
A Hamiltonian in two space dimensions whose kinetic-energy contributions have opposite signs is studied in detail. Solutions of the time-independent Schrödinger equation for fixed energy are superpositions of plane waves, with wavevectors on hyperbolas rather than circles. The local velocity (e.g. in the Madelung representation) is proportional to the kinetic momentum, i.e. local particle velocity, not the more familiar canonical momentum (phase gradient). The patterns of the associated streamlines are different, especially near phase singularities and phase saddles where the kinetic and canonical streamline patterns have opposite indices. Contrasting with the superficially analogous circular smooth solutions of kinetically isotropic Hamiltonians are wave modes that are anisotropic in position and also discontinuous. Pictures illustrating these phenomena are included. The occurrence of familiar concepts in unfamiliar guises could be useful for teaching quantum or wave physics at graduate level.
Research on the stability prediction for multi-posture robotic side milling based on FRF measurements
Authors: Song Ci , Liu Zhibing , Wang Xibin , Qiu Tianyang , Liang Zhiqiang , Shen Wenhua , Gao Yuhang , Ma Senjie 
Published: May 2024

Abstract
In robotic side milling, frequent chatter extremely restricts the acquisition of high surface quality due to weak stiffness, and cutting parameters optimization guided by stability boundary is regarded as an effective solution to solve the chatter problem. In this research, the influence mechanisms of stability were analyzed by evaluating the structural static stiffness and dynamic parameters, and the main factor was characterized as regenerative chatter by means of stability measurements and the theoretical prediction model. The distance-driven multi-posture frequency response function (FRF) prediction model was improved in terms of the dominant modal. Grey correlation analysis was carried out to investigate the influence law of robotic joints to modal parameters, and the difference between far-distance posture and near-distance posture was re-characterized by cross-validation of FRF measurements. Finally, the third-order Hermite–Newton approximation was employed to solve the dynamic model by considering process damping effect, and the results showed the prediction accuracy of the constructed stability boundary was over 85%.
Prediction model of bearing fault remaining useful life based on weighted variable loss degradation characteristics
Authors: Yu Tianyi , Li Shunming , Lu Jiantao 
Published: May 2024

Abstract
In the prediction of bearing fault remaining useful life (RUL), the identification and feature extraction of early bearing faults are very important. In order to improve the accuracy of early fault RUL prediction, a bearing fault RUL prediction model based on weighted variable loss degradation characteristics is proposed. The model is composed of a stack denoising autoencoder (SDAE) module guided by variable loss, a signal-to-noise feature adaptive weighting module and a long-short term memory (LSTM) degradation characteristics extraction and regression output module. Firstly, this model improves the ability of SDAE model to extract weak fault features by ascending dimension learning and variable loss function. Then, an adaptive weighting matrix is generated according to the test signal to modulate the weight vector of SDAE. Finally, the hidden layer features of SDAE were input into LSTM model to extract the bearing state degradation features and realize the RUL prediction of bearing faults. The experimental results show that the proposed model can accurately predict the RUL of the test data in the early fault stage and the fault development stage. The proposed model can give early fault warning to the bearing state.
A data fusion-based approach for structural damage detection with distributed long-gauge strain measurements
Authors: Zhou Zhenwei , Ding Kaiqing , Fang Wangwang , Sheng Wang , Yanchao Shao , Wu Bitao 
Published: May 2024

Abstract
Distributed long gauge strain sensing technology has solved the problem of difficult identification of local damage in traditional ‘point’ monitoring, and has received extensive attention in the field of structural damage identification. Owing to the inevitable presence of measurement noise and environmental factors in the macro strain response measurement, a single damage index has also underlined some drawbacks generally arising when multiple damages occur, or errors affect the identified dynamic properties of the systems. To address these challenges, this paper proposes a data fusion method based on the Dempster–Shafer evidence theory, relying on distributed strain sensing technology. The identification results of the modal macro strain-based index and quasi-static macro strain energy-based damage index are fused to make a comprehensive decision on structural damage location. Damage identification studies are conducted on different types of structures under impact loads and random wind loads to verify the effectiveness and accuracy of the proposed data fusion method in the case of single and multiple damage conditions. The results show that the proposed data fusion method can accurately identify the damage location and effectively reduce misjudgment on undamaged locations; it has potential application value in practical structural health monitoring.
Design and construction of an affordable optical power meter: micro- to milli-Watt in the 400–800 nm range
Authors: dos Santos Jr Juracy L , Andrade Ian R , Silva Lucas H P , Abegão Luis M G 
Published: May 2024

Abstract
This study introduces the design, construction, and evaluation of an affordable optical power meter prototype, AYR (Affordable Yet Reliable) version 1.0, which operates effectively within the 400–800 nm range, using a silicon photodiode. Aimed at bridging the gap in accessibility to precise and reliable photonics instrumentation, especially in resource-constrained settings, AYR 1.0 leverages advancements in photodiode technology, additive manufacturing, and do-it-yourself electronics. The device incorporates a custom-built electronic circuit that facilitates accurate optical power measurement by converting light into electrical current. Through rigorous testing against a reliable commercial optical power meter, AYR 1.0 demonstrated exceptional accuracy and reliability. Sensitivity values ranged from ∼13 μA mW−1 at 405 nm to ∼796 μA mW−1 at 805 nm. The operational power range spanned from 0.003 mW to 242.0 mW, with linearity (R
2) values consistently above 0.9981, indicating high fidelity in measurement. Repeatability percentages varied between 99.4% and 99.9%, and response times ranged up to 55 μs, showcasing the prototype’s rapid and reliable response to changes in optical power. The key components include a low-cost silicon photodiode (2DU10), a differential trans-impedance amplifier circuit for signal processing, and a 3D-printed housing for the sensor head and console, contributing to its cost-effectiveness and robustness. The prototype’s total cost was 116 US dollars, highlighting its affordability and potential for widespread adoption.
A new two-dimensional, spiropyran-based polymer fluorescent nanoprobe with quantitative-fluorescent and photochromic properties for multi-substance detection
Authors: Lin Riyan , Zhang Hefeng , Huang Yifu 
Published: May 2024

Abstract
One challenge of the structural design of a fluorescent probe is how to improve the detection performance on trace target analytes in complex samples. Herein a new polymer fluorescent nanoprobe (2DSP-C28) has been synthesized, by adopting a two-dimensional (2D), spiropyran (SP)-based nanosheet structure with hydrophobic long-chain alkanes (C28). Unlike a traditional SP-based small molecule probe, the 2DSP-C28 probe can exhibit quantitative-fluorescent and photochromic properties. Under the detection of metal-ions, the nanoprobe in dimethyl sulfoxide aqueous solution is selectively fluorescent-quenched-responsive for Fe-ions (∼100 μM), with a characteristic stoichiometric ratio of <10, a high sensitivity (limit of detection: ∼0.2 μM). When the nanoprobe is incorporated into electrospun polyethylene oxide, it can be used for gas detection, and display a color-change with acid-base gas and identify the HF gas. It is expected that this new polymer fluorescent nanoprobe can be promisingly applied for rapidly environmental monitoring on the ion or gas pollution.
Low field anomaly in the critical current of Ba1−
x
K
x
Fe2As2 tapes
Authors: Strickland Nicholas M , Chong Shen , Dong Chiheng , Zhang Xianping , Ma Yanwei , Jiang Zhenan 
Published: May 2024

Abstract
Ba1−x
K
x
Fe2As2 superconductors have strong potential for magnet applications through their very high upper critical field, relatively high superconducting transition temperature and manufacturability through the powder-in-tube (PIT) route. However, the critical current density in PIT tapes is still low compared to the incumbent technologies, so a greater understanding of the limiting factors is required. We have measured the in-field critical currents (I
c) of stainless steel and silver double-sheathed monofilament Ba0.6K0.4Fe2As2 superconductor tapes at elevated temperatures from 15 K to 35 K. At 20 K, the critical current density is up to 140 kA cm−2 in low (optimal) field and 22 kA cm−2 in 8 T. In the low-field region we observe an anomalous and sharp suppression of I
c centred at the zero field. This feature is non-hysteretic for lower temperatures and perpendicular fields, but becomes hysteretic for higher temperatures in perpendicular fields and for all temperatures in parallel fields. The low-field suppression is also reflected in the n-values which can otherwise be very high, in excess of 100 in the optimal field. Magnetic-field hysteresis of I
c is generally attributed to flux exclusion/flux trapping in granular superconductors and this is likely to be the case also in the present conductors. The low-field I
c anomaly also likely has its origin in planar granularity, while magnetic phases in grains or grain boundaries may also play a role.
FE/PDE: a novel approach applied to PC plate structure with multi-scale and multi-physics field coupling
Authors: Qian Denghui , Liu Guoqing 
Published: May 2024

Abstract
For the more straightforward and more efficient solution of phononic crystal (PC) plate frequency band structure, transmission curve, and vibration mode, in this paper, related theories based on spatial Fourier series expansions, combined with Bloch’s theorem, a novel approach to solve the structural governing equations of PC plate is proposed by using the partial differential equations (PDE) module in the finite element software COMSOL. It is named the FE/PDE (Finite element and partial differential equations) method. The method’s accuracy is verified by comparing the results with those obtained from the traditional method. Systematic elucidation of the application of the method to probe the properties of multi-scale, multi-physics field coupled PC plate. In order to demonstrate the flexibility and scientific validity of the method, a novel nano-piezoelectric PC plate structure is proposed and solved. The method is simple, computationally efficient, and applicable, and provides a new method for investigating the properties of PC plates.