bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantum algorithms for enhanced educational technologies
Authors: Hanafi Basil , Ali Mohammad , Singh Devyaani 
Published: January 2025

Abstract
Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. This is a novel approach, applying quantum algorithms to enhance educational technologies, with no previous studies addressing the integration of quantum computing for personalized learning, data security, and resource optimization in such a comprehensive manner. It is in this context that the present paper delves into the role of quantum algorithms in education ecosystems and focuses on their capacity for transforming both learner and institution personalization, resources management, and secure data protection in learning contexts. Modern quantum algorithms like Grover’s Algorithm and Quantum Annealing support various functionalities like rapidity in processing as well as instantaneous flexibility towards customization of learning resources for the students and proper optimization of the learning trail. Also, quantum cryptography provides reliable security and prevention against future attacks on cyber security hence providing safe means of transferring educational data. Unfortunately, the use of these technologies in learning institutions has not been without some problems. Some of the challenges are the creation of well-functioning quantum hardware, functional software solutions, the application of data ethically, and others. This study presents a balanced view of the positive impacts as well as the technical and ethical implications of quantum technologies in education. In this respect, the paper advances theoretical and practical knowledge about what quantum computing could potentially do to reshape education. In conclusion, the findings of this study have revealed that more scholarly and collaborative research should be conducted in order to eliminate the existing obstacles to the use and exploitation of potential benefits of quantum computing in the educational system.
Ensemble-Based Machine Learning Algorithms Combined with Near Miss Method for Software Bug Prediction
Authors: Khleel Nasraldeen Alnor Adam , Nehéz Károly , Fadulalla Montaser , Hisaen Ahmed 
Published: January 2025

Abstract
Software bug prediction (SBP) involves identifying or categorizing software modules likely to contain defects, utilizing underlying system properties such as software metrics. SBP plays a crucial role in enhancing software project quality and mitigating maintenance risks. Numerous machine learning (ML) algorithms have been developed to predict software bugs. Class imbalance poses a significant challenge for these algorithms, significantly impeding their effectiveness and resulting in imbalanced false-positive and false-negative outcomes. However, limited research has been conducted to specifically tackle the issue of class imbalance in the context of SBP. This study investigates the prediction performance of a homogeneous ensemble: Bagging, boosting, and voting classifiers (VC) methods combined with the under-sampling methods to address the class imbalance problem and improve the accuracy of SBP. Two ensembles are classified as bagging ensembles: decision tree (DT) and random forest (RF); two ensembles are classified as boosting ensembles: AdaBoost (AB) and gradient boosting (GB), while the DT, RF, K-Nearest Neighbours (K-NN), and support vector machine (SVM) are considered as VC. To establish the effectiveness of the proposed models, the experiments were conducted on the available benchmark datasets, which comprise five public datasets based on both class and file-level metrics. We compared and evaluated the performance of the proposed models according to several performance measures, namely accuracy, precision, recall, f-measure, Matthew’s correlation coefficient (MCC), and the area under the receiver operating characteristic curve (AUROC). The experimental findings demonstrated that the proposed models exhibit superior efficiency in predicting software bugs on balanced datasets compared to the original datasets, with an improvement of up to 11% accuracy for the class-level metrics and 10% for the file-level metrics. The results indicate that the use of data sampling techniques had a positive impact on the prediction accuracy of the presented models. We compared our proposed method with existing SBP methods based on several standard performance measures. The comparison outcomes revealed a significant superiority of our method over the prevailing state-of-the-art SBP methods across most datasets.
Modified water balance model for groundwater recharge estimations using cloud integration
Authors: Das Arup Kumar , Gupta Saurabh Kumar , Singh Suraj Kumar , Rawat Pradeep Kumar , Kanga Shruti 
Published: January 2025

Abstract
Groundwater recharge is an essential element of enhancing global water governance. This is conspicuous over areas like West Bengal, India, which face natural and manmade water resource challenges. This particular study aims at improving the estimation of groundwater recharge using the Modified Water Balance Model (MWBM), which has been integrated with Google Earth Engine (GEE) and high-resolution remote sensing data here in application for groundwater. The method used consists of MODIS land surface temperature and CHIRPS precipitation data efficiently maps groundwater recharge estimation for various districts of West Bengal. The MWBM utilizes the geospatial analytic capabilities of GEE and above calculations in MWBM in creating recharge estimations that are geographically referenced. The majority of the results showed significant differences in the spatial recharge characteristics of the aquifers across the study region. High recharge was found in Alipurduar and Jalpaiguri district because of the high rainfall but low and constant recharge potential in Bankura and Purba Bardhaman districts due to less permeable rock layers. Within MWBM, improvements in groundwater management include the use of remote sensing techniques as well as modernization of computational processes to enhance recharge estimates. The present study not only aims at improving the accuracy of recharge estimation methods but also suggests a workable approach in the context of water resource management plans.
Analogy and Image in E. L. Mascall
Authors: Jankowski Jarek Macachor 
Published: January 2025

AbstractE. L. Mascall devoted much of his early scholarly career to developing accounts of analogy and natural theology grounded in the study both of Thomas Aquinas and in his Thomist successors. This essay examines Mascall’s account of analogy in relation to other views on analogy in his day, finding that in the 1950s, ‘image’ becomes at least as important a category for Mascall as ‘analogy’. Even while beginning from Thomist metaphysical standpoints and motivated by Thomist considerations, Mascall develops an account of thinking and speaking about God that diverges from his Thomist contemporaries, resembling more the thought of his ‘para-Thomist’ friend and colleague, Austin Farrer.
Answering Liberal Protestantism: Eric Mascall and Karl Barth
Authors: Michielin Maico 
Published: January 2025

AbstractEric Mascall and Karl Barth shared a common concern with the influence of liberal Protestantism on their churches in England and Germany. They agreed this problem was best addressed through the lens of natural theology. Yet, while for Mascall a Thomistically informed understanding of natural theology was the best way to counteract liberal Protestantism’s influence on the Church, for Barth, natural theology was to blame for the Church’s confusion. The concern this paper raises was Barth’s sharp delineation between human reason and divine revelation in the end, complicit with the ontological duality of modernity that was the basis of the liberal Protestantism he was rejecting? By dealing with modernity on its own terms, Barth undermined the capacity of the Church’s ministry of Word and Sacrament to be effective agents of personal transformation. Whereas Mascall’s realistic ontology not only repudiates the idealist foundations of liberal Protestantism but also offers the Church the necessary ontology foundation for understanding its ministry of Word and Sacrament as effective embodiments of God’s transforming grace.
Soil Residual Activity of Tetflupyrolimet and the Influence of Soil Moisture and Flood Timeliness on Barnyardgrass Efficacy
Authors: Castner Mason C. , Norsworthy Jason K. , Roberts Trenton L. , Faske Travis R. , Butts Thomas R. , Bateman Nick R. 
Published: January 2025

ABSTRACT
Tetflupyrolimet is the first herbicide with a novel site of action to be commercialized for use in agronomic crops in three decades. Direct-seed rice field experiments were conducted at research facilities near Stuttgart (silt loam), AR, and Keiser (clay), AR, to evaluate tetflupyrolimet as a preemergence herbicide versus commercial standards. Greenhouse experiments determined the influence of soil moisture on pre- and postemergence (POST) barnyardgrass control with tetflupyrolimet and clomazone, and the impact of a delayed flood on efficacy when POST-applied. For the field experiments, clomazone, tetflupyrolimet, and quinclorac were applied individually PRE at 336 and 560, 134 and 224, and 336 and 560 g ai ha-1, respectively, on a silt loam and clay soil, along with clomazone plus tetflupyrolimet and clomazone plus quinclorac at the same rates. The soil moisture experiment included a single PRE and POST application of clomazone at 336 g ai ha-1, tetflupyrolimet at 134 g ai ha-1, and a mixture at the respective rates, on a silt loam soil at 50, 75, and 100% of field capacity. For the flood timing experiment, tetflupyrolimet was applied to 2- to 3-leaf barnyardgrass at 134 g ai ha-1, and a flood was established at 4 hr after treatment (HAT) and 5 and 10 d after treatment (DAT). Barnyardgrass control with a tetflupyrolimet and clomazone mixture was comparable to clomazone plus quinclorac when averaged over all evaluations on silt loam and clay texture soils (≥91%). Soil moisture interacted with herbicide treatments for PRE and POST barnyardgrass efficacy when averaged over DAT, with tetflupyrolimet plus clomazone generally providing the greatest and most consistent control across regimes. Flooding barnyardgrass at 4 HAT provided superior control to later flood timings. Tetflupyrolimet is an effective residual barnyardgrass herbicide, and the addition of clomazone will aid in providing consistent control across varying soil moisture conditions.
Contributions of distractor dwelling, skipping, and revisiting to age differences in visual search
Authors: Wiegand Iris , van Pouderoijen Mariska , Oosterman Joukje M. , Deckers Kay , Horstmann Gernot 
Published: January 2025

Abstract
Visual search becomes slower with aging, particularly when targets are difficult to discriminate from distractors. Multiple distractor rejection processes may contribute independently to slower search times: dwelling on, skipping of, and revisiting of distractors, measurable by eye-tracking. The present study investigated how age affects each of the distractor rejection processes, and how these contribute to the final search times in difficult (inefficient) visual search. In a sample of Dutch healthy adults (19–85 years), we measured reaction times and eye-movements during a target present/absent visual search task, with varying target-distractor similarity and visual set size. We found that older age was associated with longer dwelling and more revisiting of distractors, while skipping was unaffected by age. This suggests that increased processing time and reduced visuo-spatial memory for visited distractor locations contribute to age-related decline in visual search. Furthermore, independently of age, dwelling and revisiting contributed stronger to search times than skipping of distractors. In conclusion, under conditions of poor guidance, dwelling and revisiting have a major contribution to search times and age-related slowing in difficult visual search, while skipping is largely negligible.
Mind the leaf anatomy while taking ground truth with portable chlorophyll meters
Authors: Lhotáková Zuzana , Neuwirthová Eva , Potůčková Markéta , Červená Lucie , Hunt Lena , Kupková Lucie , Lukeš Petr , Campbell Petya , Albrechtová Jana 
Published: January 2025

Abstract
A wide range of portable chlorophyll meters are increasingly being used to measure leaf chlorophyll content as an indicator of plant performance, providing reference data for remote sensing studies. We tested the effect of leaf anatomy on the relationship between optical assessments of chlorophyll (Chl) against biochemically determined Chl content as a reference. Optical Chl assessments included measurements taken by four chlorophyll meters: three transmittance-based (SPAD-502, Dualex-4 Scientific, and MultispeQ 2.0), one fluorescence-based (CCM-300), and vegetation indices calculated from the 400–2500 nm leaf reflectance acquired using an ASD FieldSpec and a contact plant probe. Three leaf types with different anatomy were included: dorsiventral laminar leaves, grass leaves, and needles. On laminar leaves, all instruments performed well for chlorophyll content estimation (R2 > 0.80, nRMSE < 15%), regardless of the variation in their specific internal structure (mesomorphic, scleromorphic, or scleromorphic with hypodermis), similarly to the performance of four reflectance indices (R2 > 0.90, nRMSE < 16%). For grasses, the model to predict chlorophyll content across multiple species had low performance with CCM-300 (R2 = 0.45, nRMSE = 11%) and failed for SPAD. For Norway spruce needles, the relation of CCM-300 values to chlorophyll content was also weak (R2 = 0.45, nRMSE = 11%). To improve the accuracy of data used for remote sensing algorithm development, we recommend calibration of chlorophyll meter measurements with biochemical assessments, especially for species with anatomy other than laminar dicot leaves. The take-home message is that portable chlorophyll meters perform well for laminar leaves and grasses with wider leaves, however, their accuracy is limited for conifer needles and narrow grass leaves. Species-specific calibrations are necessary to account for anatomical variations, and adjustments in sampling protocols may be required to improve measurement reliability.
Psychometric study of the Maslach Burnout Inventory-Student Survey on Thai university students
Authors: López-Gómez Ernesto , González-Fernández Raúl , Khampirat Buratin 
Published: January 2025

Abstract
The Maslach Burnout Inventory-Student Survey (MBI-SS) is a widely used instrument to assess burnout levels, which provides valuable insight into their psychological well-being. Accurate measurement of burnout is crucial for developing interventions aimed at reducing stress and promoting mental health among students. This study aims to validate the MBI-SS when applied among Thai university students and to examine whether the psychometric properties of the scale are consistent with the original conceptual framework. A total of 413 undergraduate students from Thailand participated in the study, with 57.63% females and 42.37% males, and a mean age 21.75 years (SD = 2.40). The MBI-SS was translated into Thai by following rigorous procedures to maintain accuracy and cultural relevance. The factorial structure of the MBI-SS Thai version was evaluated using confirmatory factor analysis (CFA) for both a three-factor model and second-order factor model. The Thai version of the MBI-SS demonstrated a three-dimensional structure consistent with the original inventory, with excellent model fit indices. All item factor loadings exceeded the recommended threshold, and the instrument showed high internal consistency, establishing it a valuable tool for future research and practical application in educational settings aimed at addressing and reducing student burnout.
Compound coastal flooding in San Francisco Bay under climate change
Authors: Wang Zhenqiang , Leung Meredith , Mukhopadhyay Sudarshana , Sunkara Sai Veena , Steinschneider Scott , Herman Jonathan , Abellera Marriah , Kucharski John , Ruggiero Peter 
Published: January 2025

Abstract
The risk of compound coastal flooding in the San Francisco Bay Area is increasing due to climate change yet remains relatively underexplored. Using a novel hybrid statistical-dynamical downscaling approach, this study investigates the impacts of climate change induced sea-level rise and higher river discharge on the magnitude and frequency of flooding events as well as the relative importance of various forcing drivers to compound flooding within the Bay. Results reveal that rare occurrences of flooding under the present-day climate are projected to occur once every few hundred years under climate change with relatively low sea-level rise (0.5 m) but would become annual events under climate change with high sea-level rise (1.0 to 1.5 m). Results also show that extreme water levels that are presently dominated by tides will be dominated by sea-level rise in most locations of the Bay in the future. The dominance of river discharge to the non-tidal and non-sea-level rise driven water level signal in the North Bay is expected to extend ~15 km further seaward under extreme climate change. These findings are critical for informing climate adaptation and coastal resilience planning in San Francisco Bay.
Venous Thromboembolism Occurrence and Association with Gastrointestinal Disorders in Children with Cystic Fibrosis: An Analysis from the TriNetX Research Network Global Multicenter Real-World Dataset
Authors: Trocchia Carolena , Ashour Dina , Mosha Maua , Hamner Bailey , Betensky Marisol , Goldenberg Neil , Khalaf Racha 
Published: January 2025

AbstractThe purpose of this study is to (1) estimate and compare the prevalence of venous thromboembolism (VTE) in children (age 0 to ≤21) with versus without cystic fibrosis (CF); (2) investigate putative associations between specific gastrointestinal (GI) manifestations and the development of VTE among children with CF. This was a multicenter case–control analysis among patients aged 0 to ≤ 21 years between 2010 and 2020, using the TriNetX Research Network. Data queries included ICD-9/10 (International Classification of Diseases-9th/10th Revision) diagnosis codes. Bivariate associations with VTE among CF patients were compared using Chi-square testing for categorical variables and Student's t-test for continuous variables. We used multivariable logistic regression to test for independent associations of GI manifestations with VTE among children with CF, with adjustment for other salient covariates. There was a total of 7,689 children with and 22,327,660 without CF. The frequency of occurrence of VTE was increased nearly 20-fold among those with, as compared with without CF (130 vs. 7 per 10,000 patients). Acute pancreatitis (adjusted odd ratio [aOR] = 3.80, [95% confidence interval, CI: 2.00–7.22]), biliary disease (aOR = 2.17 [95% CI: 1.17–4.03]), gastrostomy status (aOR = 2.01 [95% CI: 1.27–3.18]), and malabsorption/malnutrition (aOR = 2.41 [95% CI: 1.52–3.82]) were each associated with a higher likelihood of VTE among children with CF. In conclusion, we found a significantly increased frequency of VTE occurrence and association of specific GI diseases as independent risk factors for VTE among children with CF compared with those without.
Optimal design of acoustic metamaterials for noise suppression by the frequency division in military equipment
Authors: Bi Shaohua , Yang Fei , Shen Xinmin , Peng Wenqiang , Yang Xiaocui , Yin Qin , Zhang Xiaonan , Zhang Heng , Wang Dong , Chen Jingguo , Li Zhiming 
Published: January 2025

This paper presents a multi-Helmholtz unit series–parallel acoustic metamaterial with a segmented noise control effect designed by taking advantage of the adjustable frequency band of an acoustic metamaterial, aiming to change the main noise spectrum characteristics under different driving conditions of military equipment such as tanks. Based on the transfer matrix method, a theoretical model that can predict the acoustic characteristics of a hybrid structure with multiple Helmholtz resonator (HR) units is established, and its feasibility is verified through finite element simulations and experiments. By combining particle swarm optimization with finite element simulation, the suboptimal average sound absorption coefficient (αavg) of ten populations was 0.52, 0.54, 0.54, and 0.44, respectively, after iterating for 50 generations. The results demonstrate that the αavg of the four groups of HRs in series with three layers reaches 0.79, 0.62, and 0.66, respectively, at the frequency bands of 205–285, 540–720, and 940–1130 Hz, and the overall thickness of the longest part is 88 mm. Low-frequency noise at approximately λ/18 can be controlled. The HR obtained by means of the first series and then parallel can achieve accurate sound absorption for specific frequency bands and can reduce its volume by removing redundant absorption bands. The findings of this study provide an effective noise-control scheme for changing the noise environment in military equipment.
Highly sensitive and efficient 1550 nm photodetector for room temperature operation
Authors: Rituraj  , Yu Zhi Gang , Kandegedara R. M. E. B. , Fan Shanhui , Krishnamurthy Srini 
Published: January 2025

Photonic quantum technologies such as effective quantum communication require room temperature (RT) operating single- or few-photon sensors with high external quantum efficiency (EQE) at 1550 nm wavelength. The leading class of devices in this segment is avalanche photodetectors operating particularly in the Geiger mode. However, for superior performance, a trade-off has to be made between temperature of operation, device thickness, and EQE. Two-dimensional (2D) materials can be used to reduce the absorber thickness and thus dark current, leading to an increase in the operating temperature, but they suffer from low EQE. We use specifically stacked bilayer hexagonal BAs, with material properties calculated from first principles, on a co-optimized dielectric photonic crystal substrate to simultaneously decrease the dark current by three orders of magnitude at RT and maintain an EQE of &gt;99%. The device can potentially be used in avalanche mode and hence can form a basis for single photon detection.
Numerical investigation of the influence of pulse frequency on the weld pool size in pulsed current TIG welding
Authors: Parvez Shahid , El Rayes Magdy , Al-Bahkali Essam , Alqosaibi Khalid 
Published: January 2025

This study simulates the pulsed current tungsten inert gas (TIG) welding process to investigate the transient development of the weld pool in a 4 mm thick aluminum sheet, focusing on the effects of pulse frequency on the weld pool size. Two pulsed currents, 230 and 180 A, with a 30% background current, were examined. The 230 A current achieved full, while the 180 A resulted in partial penetration. Five pulse frequencies (1, 4, 10, 20, and 50 Hz) were analyzed. A numerical model was developed to compute heat and current fluxes on the workpiece surface. The arc profile shifted from a bell shape in high-frequency cycles to a conical shape in low-frequency cycles. The heat and current fluxes served as inputs to another model that simulated weld pool behavior for both direct and pulsed current TIG welding. The results showed that weld pool size decreased in pulsed current TIG welding. At 230 A, full penetration changed to partial penetration under pulsed current. At 1 Hz, sufficient time was available for solidification during the low-cycle period, but at 50 Hz, the weld pool remained liquid. As pulse frequency increased from 1 to 50 Hz, the weld pool depth decreased significantly, with a reduction from 2.4 to 0.9 mm at 230 A and from 1.1 to 0.34 mm at 180 A. Convection in the weld pool was influenced by temperature and was strongest at higher temperatures. The decrease in weld pool size was most pronounced between 1 and 10 Hz, stabilizing between 20 and 50 Hz. Validation against experimental macrographs demonstrated good agreement with the simulations.