bluuebunny/crossref_metadata_2025_split huggingface dataset:
In political judgment contrast is stronger than assimilation, especially when polarization is high
Authors: Ganzach Yoav 
Published: November 2024

Abstract
Past research suggested that assimilation (i.e., the tendency to exaggerate the similarity between one’s ideological position and the position of a preferred political object) is stronger than contrast (i.e., the tendency to exaggerate the dissimilarity between one’s ideological position and the position of a non-preferred political object). However, critiques of this research argue that this conclusion is unwarranted because it is biased toward assimilation appearing stronger than contrast. In the current study, we examine the ideological judgments of American presidential candidates between 1972 and 2020 and analyze all available subjects (in contrast to previous studies that relied primarily on data collected in the 1970s and 1980s and analyzed only subjects who actually voted), and show that, in these years, contrast was stronger than assimilation. We also show that during these years, there was very little change in assimilation but a substantial increase in contrast. We attribute this change to increased polarization among the American electorate.
Cross-Cultural Adaptation and Psychometric Validation of the Suicide Cognitions Scale-Revised (SCS-R) in Spanish Adolescents in Residential Care
Authors: Muela Alexander , Bryan Craig J. , García-Ormaza Jon , Salaberra Karmele 
Published: November 2024

Abstract
The Suicide Cognitions Scale (SCS) has demonstrated considerable promise as a risk screening tool, although it has yet to be validated for use with adolescents or in Spanish-speaking populations. The aim of this study was to develop a Spanish version of the 16-item SCS-Revised (SCS-R) and to examine its psychometric properties in a sample of adolescents. Participants were 172 adolescents aged between 12 and 18 years (M = 15.32, SD = 1.57) and currently in residential care. They completed the Spanish SCS-R and a series of other psychological measures. The psychometric properties of the SCS-R were examined through factor analyses and testing of convergent/discriminant validity and construct validity. Factor analyses supported a bifactor structure, indicating that SCS-R items were primarily measuring a common underlying latent variable. SCS-R scores were positively correlated with multiple indicators of psychopathology and other suicide risk factors (e.g., depression, hopelessness) but negatively correlated with protective factors (e.g., believing that one’s mental pain will eventually end). Importantly, SCS-R scores differentiated adolescents in residential care who had previously attempted suicide from those who had only thought about suicide. Scores also differentiated adolescents who had previously attempted suicide from those who had previously only engaged in non-suicidal self-injury. This constitutes further evidence that the SCS-R measures a construct that distinguishes suicidal thought from action and is specific to suicidal forms of self-harm. Overall, the results suggest that the Spanish SCS-R is a potentially useful tool for identifying adolescents at risk of attempting suicide in residential care.
A New Method for Reconstruction of Regional Three‐Dimensional Electron Density Distributions Using AI‐Based Data Assimilation Method and Incoherent Scatter Radar Measurements
Authors: Li Chenghao , Fang Hanxian , Cao Xiaoqun , Duan Die , Xiao Chao , Huang Hongtao , Ren Ganming , Lin Yang , Cai Yihui 
Published: November 2024

AbstractThe ionosphere's dynamic structure affects electromagnetic radiation by altering radio wave propagation, impacting daily communications. The characteristics of the ionosphere are primarily characterized by electron density parameters. This paper proposes a method to construct Three‐Dimensional (3‐D) electron density distributions with arbitrary spatiotemporal resolution in ISR observational regions. The method, termed Artificial Intelligence‐based data assimilation (AI‐Assim), integrates data assimilation directly into a neural network. It assimilates electron density from the IRI‐2020 model to fill ISR observation gaps. Experiments conducted using the Sanya Incoherent Scatter Radar (SYISR) in Hainan, China, successfully constructed a 3‐D electron density structure over the region, with a 0.2° latitude/longitude resolution and 1 km height resolution. The method's effectiveness was validated by calculating the mean square error and comparing the results with digisonde measurements.
The Role of Earth Tides in Reactivating Shallow Faults and Triggering Seafloor Methane Emissions
Authors: Sultan N. , Riboulot V. , Dupré S. , Garziglia S. , Ker S. 
Published: November 2024

AbstractThe role of solid Earth tide in fault reactivation has significant implications for understanding earthquake triggering, carbon sequestration, and the global carbon budget. Despite extensive research on this topic, the relationship between Earth tide and fault reactivation remains unclear. In this study, we investigate the influence of solid Earth tide on the reactivation of sub‐seabed faults, which may lead to the release of methane. We monitored the sub‐seabed temperature and pore‐fluid pressure at two sites on a fault system located in the Black Sea. Two sets of data obtained from distinct periods revealed inconsistent results. For the first set of data and despite the distance between the two sites (∼790 m), the responses in terms of temperature and pore pressure changes were synchronous (September 2021). We showed from these data that the presence of over‐pressured fluid promotes fault reactivation under Earth tide cycles, resulting in synchronized degassing events. For the second set of data recorded from the same two sites (September 2021–May 2023), we did not identify any concomitance between Earth tides and the monitored parameters. Our analyses show that discrepancies in observations could be related to the fluid discharge/recharge process. The fluid discharge observed during the first period resulted in a decrease in excess pore‐pressure, making the fault insensitive to Earth tides during the subsequent recharge period. Our data also sheds light on conflicting literature results, suggesting that the interaction between faults and Earth tides primarily depends on fluid pore pressure, a parameter rarely measured.
Accelerating Multiphase Simulations With Denoising Diffusion Model Driven Initializations
Authors: Chung Jaehong , Marcato Agnese , Guiltinan Eric J. , Mukerji Tapan , Viswanathan Hari , Lin Yen Ting , Santos Javier E. 
Published: November 2024

AbstractThis study introduces a hybrid fluid simulation approach that integrates generative diffusion models with physics‐based simulations, aiming at reducing the computational costs of flow simulations while still honoring all the physical properties of interest. Pore‐scale simulations enhance our understanding of applications such as assessing hydrogen and storage efficiency in underground reservoirs. Nevertheless, they are computationally expensive and the presence of non‐unique solutions can require multiple simulations within a single geometry. To overcome the computational cost hurdle, we propose a method that couples generative diffusion models and physics‐based simulations. While training the data‐driven model, we simultaneously generate initial conditions and perform physics‐based simulations using these. This integrated approach enables us to receive real‐time feedback on a single compute node equipped with both CPUs and GPUs. By efficiently managing these processes within a single compute node, we can continuously monitor performance and halt training once the model meets the specified criteria. To test our model, we generate realizations in a real Berea sandstone fracture which shows that our technique is up to 4.4 times faster than commonly used flow simulation initializations.
Self-measurement of blood pressure at home using a cuff device for change in blood pressure levels: systematic review and meta-analysis
Authors: Satoh Michihiro , Tatsumi Yukako , Nakayama Shingo , Shinohara Yukiko , Kawazoe Miki , Nozato Yoichi , Kunimura Ayako , Murakami Takahisa , Toyama Maya , Muroya Tomoko , Yagihashi Takahito , Sakima Atsushi , Abe Makiko , Arima Hisatomi , Ohkubo Takayoshi 
Published: November 2024

Abstract
The effect of self-measurement of blood pressure (BP) at home (home BP measurement, HBPM) has been evaluated over the past decade. This meta-analysis included the latest studies to determine whether HBPM reduced BP (PROSPERO ID: CRD42023442225). PubMed, Cochrane Library Database, and IchuShi-Web were searched for randomized controlled trials after the year 2000 which demonstrated the effect of HBPM on BP change compared with usual care (UC). Overall, 65 articles (n = 21,053; 63 based on patients with hypertension) were included. The systolic/diastolic BP reduction was significantly greater in the HBPM than in the UC group by 3.27/1.61 mmHg (95% confidence intervals: 2.40–4.15/1.14–2.07) at the end of the intervention, and I
2 values ≥ 46.7% suggested moderate-to-high heterogeneity. The funnel plots exhibited no notable publication bias (Egger’s test p ≥ 0.16). HBPM with co-interventions (such as telemonitoring) showed a stronger BP-lowering effect than without co-interventions while the effect of HBPM on BP change remained significant in the absence of co-interventions. HBPM was not associated with systolic BP changes when we combined the four studies that used a wrist cuff device for HBPM. The number of antihypertensive medications increased by 0.17 medications in the HBPM group compared with that in the UC group. There were no significant differences in body mass index changes or risk of severe adverse outcomes between the groups. Our results demonstrated a beneficial effect of HBPM in reducing BP, particularly when used in conjunction with telemonitoring or additional medical support and when employing upper-arm cuff devices.
Dataset of Smartphone-Based Finger Tapping Test
Authors: Lima Ramon Costa , da Costa Brito Felipe André , do Nascimento Rodrigo Luz , Nazaré e Silva Martins Sthephanie , Carlos Monteiro Pereira Luis , Seabra Jéssica Portal , Farias Hugo Leonnardo Chaves , Morgana Cunha da Silva Laenna , Matheus Silva de Miranda Victor , Belgamo Anderson , dos Santos Cabral André , Callegari Bianca , de Athayde Costa e Silva Anselmo , Crisp Alex , Alves Cândida Helena Lopes , da Costa Brito Lacerda Eliza Maria , Souza Givago Silva 
Published: November 2024

AbstractThe finger tapping test (FTT) is a neuropsychological test that measures motor speed and coordination. It involves tapping a designated surface with a specific finger as quickly as possible for a certain duration. Touchscreen of smartphones has been used as interface to record the tap, what enables to extract information about the taps. The present study represents an initiative of construction for a national Database of Smartphone-Based FTT, which includes data from 176 healthy male and female adults ranging in age from 18 to 74 years. Participants were asked to perform the FTT using one or both hands, tapping on a central area of a smartphone as many times as possible within a 30-second interval. Data were extracted using an Android application, encompassing details such as touch timing, spatial coordinates, sex, smartphone model, hand used, and age. A Python-developed web visualization tool for individual and averaged analysis. This database serves as informative foundation for a healthy adult sample and supports further exploration and international comparative analyses of FTT performance.
Internet of things (IoT) for safety and efficiency in construction building site operations
Authors: Khan Abdul Mateen , Alrasheed Khaled A. , Waqar Ahsan , Almujibah Hamad , Benjeddou Omrane 
Published: November 2024

AbstractInternet of Things (IoT) technologies present transformative opportunities through connectivity of intelligent devices, environmental sensors, and integrated management systems. This study aims to investigate the benefits and impact of IoT implementation on construction sites by analyzing relationships between key factors and outcomes for safety and efficiency. Hypotheses were developed proposing positive correlations between each factor and effective IoT adoption on construction sites. Structural equation modeling analysis on survey data from construction professionals and site reports strongly validated the research hypotheses. Positive path coefficients and high statistical significance confirmed environmental monitoring (0.38), equipment management (0.343), predictive analytics and maintenance (0.222) and safety monitoring (0.369) as crucial enablers for successful IoT integration leading to safer and more productive construction operations. The findings highlight imperative focus areas and provide actionable insights for construction stakeholders on strategies to effectively leverage IoT capabilities.
Blockchain based intelligent disbursement in National Scholarship Portal
Authors: Samu Lifna Challissery , Khithani Neelkanth , Alve Kushl , Gambhire Vedang , Hande Atharva , Choubey Shivam 
Published: November 2024

AbstractThe National Scholarship Portal in India serves as a one‐stop solution for students seeking financial aid for their studies across the country. However, in this digital era, the national‐level portal faces challenges such as limited provision for only government scholarships, non‐automated systems, complex application processes, reliance on physical verifications, and delays in scholarship disbursement. This research proposes a blockchain‐based scholarship module to address these challenges and automate the entire scholarship process. The paper emphasizes upon the transformative impact by the usage of Hyperledger fabric network, which provides a fool‐proof system that streamlines the entire application process and fund disbursement. The proposed integration also ensures robust application verification, accountability of stakeholders, transparent scholarship selection criteria, automated and thorough tracking of fund disbursement, immutable transaction history, secure authorization; and stringent compliance measures. Thus, the implementation of the proposed system aims to alleviate the financial insecurities faced by students during their studies, simplify their search for scholarship opportunities, and enable them to focus more on their academic pursuits.
M‐ary differential chaos shift keying with carrier index modulation for high‐data‐rate transmission
Authors: Yu Bin , Jiang Guo‐Ping , Yang Hua , Jia Ya‐Qiong 
Published: November 2024

AbstractA high‐data‐rate solution for M‐ary differential chaos shift keying (MDCSK) based on carrier index modulation is proposed in this paper. At the transmitter, the proposed system employs index selectors, Hilbert transform, and MDCSK encoders. Walsh codes are used for separating different data‐bearing wavelets. At the receiver, the proposed system adopts energy comparators and MDCSK detectors. The transmitted chaotic signals are duplicated for several times, and the averaging operation is performed on received signals to reduce noise. Theoretical bit error rate expressions are obtained over the AWGN and the multipath Rayleigh fading channels, respectively. Simulations and comparisons are performed to verify the effectiveness of the proposed scheme.
Direct design method for wideband quadruplet and higher‐order bandpass filters with a pair of transmission zeros based on explicit design formulas
Authors: Lee Juseop , Choi Hyunjong , Lee Jongheun , Song Minhyup 
Published: November 2024

AbstractThis paper presents a direct design approach and explicit design formulas for a wideband quadruplet bandpass filter with a pair of transmission zeros. A filter can be designed based on a filter schematic composed of only transmission lines and a short‐circuited coupled‐line section. The electrical length of all lines including the coupled‐line section is 90. The impedances of all lines can be calculated by explicit design formulas given in terms of the normalised coupling values in a coupling matrix of a quadruplet filter, which differentiates this work from existing design approaches. A fourth‐order filter example is illustrated for demonstrating the practicality of using the presented structure and design formulas. This paper also discusses the expansion of the presented direct design approach for higher‐order filter designs.
Hybrid islanding detection method using PMU‐ANN approach for inverter‐based distributed generation systems
Authors: Sarhan Mohammad Abu , Barczentewicz Szymon , Lerch Tomasz 
Published: November 2024

AbstractAn essential component of guaranteeing the stability and safety of electricity distribution networks is islanding detection. In this work, a novel method for islanding detection which combined both phasor measurement units (PMU) and artificial neural network (ANN) is proposed. Using PMU measurements, the technique extracts features including phasor voltage, voltage frequency, and voltage rate of change of frequency (ROCOF), which later are fed into an ANN classifier. Using a huge dataset of more than a hundred thousand observations of both islanding and non‐islanding scenarios, testing was done on 24 distinct types of inverters in compliance with PN‐EN 62116 protocol criteria. The tests were carried out using Regenerative Grid Simulator Chroma 61815‐powered system which was connected in parallel to adjusting RLC load; the tested inverters were linked to a Photovoltaic Panels Simulator, the National Instruments cRIO‐9024 measuring equipment was used to carry out the measurements, MATLAB and LabVIEW were used for analyzing the data and results. With a testing accuracy of 99.05% and a training accuracy of 99.34%, the results demonstrate a high degree of accuracy. This work offers a practical solution for problems that occurred due to islanding phenomenon in power networks which can enhance the system dependability and security.
Towards winding deformation assessment from vibration signals using an optical sensor
Authors: Seifaddini Najmeh , Sekongo Bekibenan , Fofana Issouf , Akre Simplice , Chehri Abdellah , Ouhrouche Mohand 
Published: November 2024

AbstractIn the era of Industry 4.0, there is a growing emphasis on the digitization of electrical networks. Over recent decades, the integration of interconnected digital technologies, including sensors and communication systems, within electrical substations has emerged as a significant driver. Consequently, there is an increasing need for precise online monitoring of critical assets such as power transformers to enhance grid reliability. This study utilizes an optical‐based Fiber Bragg Grating (FBG) sensor to capture vibration signals from a custom‐designed single‐phase transformer model, specifically developed for experimental purposes. This model offers a unique advantage with its ability to interchangeably simulate healthy and distorted winding sections without causing damage. Using a high current source, the laboratory model was subjected to three different current levels across six distinct configurations to monitor winding displacements. The results from this investigation highlight the FBG sensor's capability to accurately distinguish between healthy and distorted winding sections. Furthermore, this feasibility study represents a significant step forward in the online mechanical assessment of transformer windings, moving away from traditional methods that require transformers to be taken out of service for inspection. This innovative approach shows considerable potential for implementing effective real‐time monitoring of winding deformation in power transformers.
A high-fidelity ensemble simulation framework for interrogating wildland-fire behaviour and benchmarking machine learning models
Authors: Wang Qing , Ihme Matthias , Gazen Cenk , Chen Yi-Fan , Anderson John 
Published: November 2024

Background Wildfire research uses ensemble methods to analyse fire behaviours and assess uncertainties. Nonetheless, current research methods are either confined to simple models or complex simulations with limitations. Modern computing tools could allow for efficient, high-fidelity ensemble simulations. Aims This study proposes a high-fidelity ensemble wildfire simulation framework for studying wildfire behaviour, assessing fire risks, analysing uncertainties, and training machine learning (ML) models. Methods We present a simulation framework that integrates the Swirl-Fire large-eddy simulation tool for wildfire predictions with the Vizier optimisation platform for automated run-time management of ensemble simulations and large-scale batch processing. All simulations are executed on tensor-processing units to enhance computational efficiency. Key results A dataset of 117 simulations is created, each with 1.35 billion mesh points. The simulations are compared to existing experimental data and show good agreement in terms of fire rate of spread. Analysis is performed for fire acceleration, mean rate of spread, and fireline intensity. Conclusions Strong coupling between wind speed and slope is observed for fire-spread rate and intermittency. A critical Froude number that delineates fires from plume-dominated to wind-dominated is identified and confirmed with literature observations. Implications The ensemble simulation framework is efficient in facilitating large-scale parametric wildfire studies.
When the discourse of strategy meets the discourse of spirituality
Authors: Pälli Pekka , Lehtinen Esa 
Published: November 2024

Abstract
A well-established body of research in organizational studies shows how business-oriented strategy discourse has
spread to different organizations and to society at large. Drawing insights from this research, we in this paper study how
strategy discourse intertwines with the spiritual and religious discourse in a specific case of a Finnish Church organization. The
interdiscursive analysis focuses on the Church’s formal strategy text, employees’ written reflections regarding the implementation
of the strategy, and one-on-one leadership conversations where the manager-employee dyads discussed these texts. Thus, the data
set makes a rare case of an intertextual chain of text and talk through which strategy discourse was recontextualized from the
field of strategic management to a religious realm. Our analysis specifically highlights how both the organization of textual
practices and the conversational practices — and their orchestration — contribute to the transfer and transformation, i.e.,
recontextualization of strategy discourse.
Tortuosity transformation of near-infrared diffuse reflectance spectra for the detection of enhanced and aggregate spectral changes with reference to dietary preferences of elephants
Authors: Dhanoa M.S. , López S. , Lister S.J. , Sanderson R. , Barnes R.J. , Ellis J.L. , France J. 
Published: November 2024

Abstract
Tortuosity, as a transformation of near-infrared spectra, is illustrated in this communication. To overcome the loss of any grouping structure, due to substrate-sample treatment or different particle size effects, a new autoregression scatter correction is described that preserves such stratification. Tortuosity applications are well established in medical, engineering and diffusion studies. Herein, tortuosity application to near-infrared diffuse reflectance spectra is presented as an additional tool for spectral change investigations.