bluuebunny/crossref_metadata_2025_split huggingface dataset:
LiDAR topo‐bathymetry for riverbed elevation assessment: A review of approaches and performance for hydrodynamic modelling of flood plains
Authors: Frizzle Catherine , Trudel Mélanie , Daniel Sylvie , Pruneau Antoine , Noman Juzer 
Published: March 2024

AbstractTopo‐bathymetric LiDAR (TBL) can provide a continuous digital elevation model (DEM) for terrestrial and submerged portions of rivers. This very high horizontal spatial resolution and high vertical accuracy data can be promising for flood plain mapping using hydrodynamic models. Despite the increasing number of papers regarding the use of TBL in fluvial environments, its usefulness for flood mapping remains to be demonstrated. This review of real‐world experiments focusses on three research questions related to the relevance of TBL in hydrodynamic modelling for flood mapping at local and regional scales: (i) Is the accuracy of TBL sufficient? (ii) What environmental and technical conditions can optimise the quality of acquisition? (iii) Is it possible to predict which rivers would be good candidates for TBL acquisition? With a root mean square error (RMSE) of 0.16 m, results from real‐world experiments confirm that TBL provides the required vertical accuracy for hydrodynamic modelling. Our review highlighted that environmental conditions, such as turbidity, overhanging vegetation or riverbed morphology, may prove to be limiting factors in the signal's capacity to reach the riverbed. A few avenues have been identified for considering whether TBL acquisition would be appropriate for a specific river. Thresholds should be determined using geometric or morphological criteria, such as rivers with steep slopes, steep riverbanks, and rivers too narrow or with complex morphologies, to avoid compromising the quality or the extent of the coverage. Based on this review, it appears that TBL acquisition conditions for hydrodynamic modelling for flood mapping should optimise the signal's ability to reach the riverbed. However, further research is needed to determine the percentage of coverage required for the use of TBL as a source of bathymetry in a hydrodynamic model, and whether specific river sections must be covered to ensure model performance for flood mapping.
Battery degradation: Impact on economic dispatch
Authors: Schade Curd , Egging‐Bratseth Ruud 
Published: March 2024

AbstractBatteries are crucial to manage the rising share of intermittent energy sources and variability in demand. Most technoeconomic models in the literature oversimplify battery degradation representation. Accounting properly for battery degradation allows for better cost tradeoffs and optimal battery usage, especially in dynamic settings. We propose a highly accurate and scalable formulation for battery degradation that considers the combined impact of cycle depth (CD) and state of charge on calendar and cycle aging. This includes a novel way to track charge‐discharge cycles. We test the consequences of battery degradation in a stylized price arbitrage model on battery operation and solution times. When ignoring battery degradation, ex post calculations reveal hidden degradation costs that exceed revenues and hence turn seemingly profitable trades into losing trades. Considering battery degradation leads to smaller CDs and lower average states of charge. Overall, we show that a much‐improved representation of battery degradation is possible at modest computational cost, allowing better decisions and higher profits.
Accurate preoperative prediction of nodal metastasis in papillary thyroid microcarcinoma: Towards optimal management of patients
Authors: Lin Si‐Ying , Li Meng‐Yao , Zhou Chi‐Peng , Ao Wei , Huang Wen‐Yu , Wang Si‐Si , Yu Jia‐Fan , Tang Zi‐Han , Abdelhamid Ahmed Amr H. , Wang Ting‐Yi , Wang Zhi‐hong , Hua Surong , Randolph Gregory W. , Zhao Wen‐Xin , Wang Bo 
Published: March 2024

AbstractObjectiveTo enhance the accuracy in predicting lymph node metastasis (LNM) preoperatively in patients with papillary thyroid microcarcinoma (PTMC), refining the “low‐risk” classification for tailored treatment strategies.MethodsThis study involves the development and validation of a predictive model using a cohort of 1004 patients with PTMC undergoing thyroidectomy along with central neck dissection. The data was divided into a training cohort (n = 702) and a validation cohort (n = 302). Multivariate logistic regression identified independent LNM predictors in PTMC, leading to the construction of a predictive nomogram model. The model's performance was assessed through ROC analysis, calibration curve analysis, and decision curve analysis.ResultsIdentified LNM predictors in PTMC included age, tumor maximum diameter, nodule‐capsule distance, capsular contact length, bilateral suspicious lesions, absence of the lymphatic hilum, microcalcification, and sex. Especially, tumors larger than 7 mm, nodules closer to the capsule (less than 3 mm), and longer capsular contact lengths (more than 1 mm) showed higher LNM rates. The model exhibited AUCs of 0.733 and 0.771 in the training and validation cohorts respectively, alongside superior calibration and clinical utility.ConclusionThis study proposes and substantiates a preoperative predictive model for LNM in patients with PTMC, honing the precision of “low‐risk” categorization. This model furnishes clinicians with an invaluable tool for individualized treatment approach, ensuring better management of patients who might be proposed observation or ablative options in the absence of such predictive information.
Effects of COVID‐19 infection risk perception on depressive symptoms among pregnant women in different periods of the COVID‐19 pandemic in China: A mediation model
Authors: Liu Dan , Li Jiayu , Wang Qiwen , Wang Huihao , Liu Xin , Zhai Mengxi , Yu Bin , Yan Hong 
Published: March 2024

AbstractObjectiveThe study investigated the mediation mechanisms between coronavirus disease 2019 (COVID‐19) infection risk perception and depressive symptoms among pregnant women during the different periods of the COVID‐19 pandemic.MethodsStudy data were derived from a sample of 463 pregnant women in Hubei Province, the province with the most severe COVID‐19 outbreak in China. Data were collected in two phases (during and after the acute phase of the COVID‐19 pandemic) using the COVID‐19 infection risk perception scales, the Edinburg Postnatal Depression Scale (EPDS), the Perceived Stress Scale (PSS), and the Peritrauma Distress Inventory (PDI). Mediation model analysis was used for data analysis, overall and by groups.ResultsThe level of depressive symptoms among pregnant women after the acute phase of the COVID‐19 pandemic was moderate (median, 9.00 [25th percentile, 75th percentile = 5.00, 12.00]), higher than the acute group (median, 7.00 [25th percentile, 75th percentile = 4.50, 10.00]). Perceived stress and traumatic stress fully mediated the relationship between infection worry (total indirect effect, 0.39 [95% confidence interval, 0.24–0.54])/infection possibility (total indirect effect, 0.41 [95% confidence interval, 0.22–0.61]) and depressive symptoms among pregnant women during the acute phase of the COVID‐19 pandemic, whereas the relationship was only fully mediated by perceived stress after the acute pandemic.ConclusionsEffects of risk perception on depressive symptoms varied by periods of COVID‐19. These findings have important implications for developing effective prevention and early psychoeducational intervention strategies for pregnant women with a high risk of depressive symptoms during different periods of emerging infectious diseases.
High‐interest books, choice, and independent reading: Piloting a reading program with male adolescents in Chile
Authors: Cubillos Montserrat , Rousseau Rosario 
Published: March 2024

AbstractReading is linked to numerous positive outcomes, including academic achievement, reduced stress, and enhanced life expectancy. However, a significant portion of Chilean adolescents engage in limited reading. Notably, male students tend to exhibit lower levels of reading motivation compared to their female counterparts, with declining reading self‐concept over time. To address this challenge, this study explores the impact of a 9‐month‐long pilot reading program aimed at increasing students' reading motivation and volume in an all‐boys rural school in southern Chile (N = 120), guided by Self‐Determination Theory and adapted from Atwell's reading workshop. The program included four pillars: access to high‐interest print books, 90 min per week of in‐class independent choice, and peer interactions around reading. t‐Tests showed a significant increase in students' reading volume but not in their reading motivation. Nevertheless, multiple regression analyses revealed that, when controlling for students' pre‐program reading motivation, achievement, and volume, post‐program reading motivation and time allocated for independent reading were significantly associated with the number of pages read during the program. Implications for practice and future research avenues are discussed.
A retrospective analysis of the relation between resurgence and renewal of behavior targeted for reduction
Authors: Muething Colin , Ritchey Carolyn M. , Call Nathan A. , Hardee Alexandra M. , Mauzy Courtney R. , Argueta Tracy , McMahon Meara X. H. , Podlesnik Christopher A. 
Published: March 2024

AbstractFunctional communication training (FCT) is an evidence‐based treatment for behavior targeted for reduction that often combines extinction for target responses and arranges functionally equivalent reinforcement for alternative behavior. Long‐term effectiveness of FCT can become compromised when transitioning from clinic to nonclinic contexts or thinning reinforcement schedules for appropriate behavior. Such increases in targeted behavior have been conceptualized as renewal and resurgence, respectively. The relation between resurgence and renewal has yet to be reported. Therefore, the present report retrospectively analyzed the relation between renewal and resurgence in data collected when implementing FCT with children diagnosed with developmental disabilities. We found no relation when evaluating all 34 individuals assessed for resurgence and renewal or a subset of individuals exhibiting both resurgence and renewal. These findings suggest that one form of relapse may not be predictive of another form of relapse.
Legal origin and bank lending behavior in developing countries: The mediating role of revenue diversification
Authors: Kamau Simon , Simo‐Kengne Beatrice D. 
Published: March 2024

AbstractThis paper explores the relationship between legal origin, revenue diversification, and bank lending behavior. The analysis is based on a sample of 2590 commercial banks operating in 139 developing countries from 2004 to 2022. Using various panel data estimation techniques and alternative measures of bank lending behavior, the results indicate that banks in common law countries experience lower levels of loan growth compared to their counterparts in civil law countries. The study results also show that revenue diversification indirectly alleviates the negative effect of loan growth in banks originating from a common law legal origin. Notably, this effect is not observed in banks within low‐income and African countries, highlighting the importance of policies aimed at enhancing institutional capacity within their legal and judicial systems. Overall, the results of this study underscore the significance of legal origins in shaping the lending dynamics of banks in developing countries.
Climatological reference stations: Definitions and requirements
Authors: Merlone Andrea , Beges Gaber , Bottacin Alberto , Brunet Manola , Gilabert Alba , Groselj Drago , Harper Andrew , Hechler Peer , Ivanov Mirjana , Musacchio Chiara , Trewin Blair , Wright William 
Published: March 2024

AbstractGround‐based stations are one of many observing systems contributing to the generation of data to evaluate climate trends and variations locally and globally. Networks of stations are made of various numbers of observing sites, equipped with different typologies and varieties of instruments, differently managed and maintained. Among such networks a limited number of stations are required as a reference, to provide top quality traceable measurements and as the top level of a tiered approach; it is these stations which are here designated as Climatological Reference Stations (CRS). At present, there is no agreed definition of the key instrumental and technical features of a CRS, nor are there defined reference measurement procedures. This leads to the situation of a multitude of approaches among different National Meteorological and Hydrological Services (NMHSs), research institutes and other agencies that reduces the comparability of results in space and in time. The lack of CRSs, moreover, is a major contributor to the huge efforts required to harmonize data and detect biases locally, regionally and globally, as in their absence there is a need to fall back on other stations which are more likely to have such biases. This article reports on the outcomes of the work of a group of experts, nominated by the World Meteorological Organization (WMO) Commission for Climatology (CCI), tasked to promote a standardized and agreed concept about the definitions, specifications and technical characteristics of climate reference data and stations for ground‐based networks, with the addition of a practical example of climatological reference station installed in the framework of an European funded project, with the purpose of comparing and confirming the prescribed characteristics and guidance, with respect to practical field use and available instrumentation. The adoption of a unique definition and prescription on the technical setup, measurement procedures and uncertainty evaluation will substantially progress towards a common approach in detecting climate trends. This will improve data comparability in space and time and allow a more robust understanding of climate evolution locally and globally.
Current methods for hyperpolarized [1‐13C]pyruvate MRI human studies
Authors: Larson Peder E. Z. , Bernard Jenna M. L. , Bankson James A. , Bøgh Nikolaj , Bok Robert A. , Chen Albert P. , Cunningham Charles H. , Gordon Jeremy W. , Hövener Jan‐Bernd , Laustsen Christoffer , Mayer Dirk , McLean Mary A. , Schilling Franz , Slater James B. , Vanderheyden Jean‐Luc , von Morze Cornelius , Vigneron Daniel B. , Xu Duan ,   the HP 13C MRI Consensus Group
Published: March 2024

AbstractMRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of HP agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1‐13C]pyruvate—by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C‐pyruvate preparation; (2) MRI system setup and calibrations; (3) data acquisition and image reconstruction; and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the “HP 13C MRI Consensus Group” as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods and Equipment study groups. It further aims to provide a comprehensive reference for future consensus, building as the field continues to advance human studies with this metabolic imaging modality.
Tailored and universal parallel transmit broadband pulses for homogeneous 3D excitation of the human heart at 7T
Authors: Aigner Christoph Stefan , Dietrich‐Conzelmann Sebastian , Lutz Max , Krüger Felix , Schmitter Sebastian 
Published: March 2024

AbstractPurposeTo research and evaluate the performance of broadband tailored kT‐point pulses (TP) and universal pulses (UP) for homogeneous excitation of the human heart at 7T.MethodsRelative 3D ‐maps of the thorax were acquired from 29 healthy volunteers. TP and UP were designed using the small‐tip‐angle approximation for a different composition of up to seven resonance frequencies. TP were computed for each of the 29 ‐maps, and UPs were calculated using 22 ‐maps and tested in seven testcases. The performance of the pulses was analyzed using the coefficient of variation (CV) in the 3D heart volumes. The 3D gradient‐echo (GRE) scans were acquired for the seven testcases to qualitatively validate the ‐predictions.ResultsSingle‐ and double‐frequency optimized pulses achieved homogeneity in flip angle (FA) for the frequencies they were optimized for, while the broadband pulses achieved uniformity in FA across a 1300 Hz frequency range.ConclusionBroadband TP and UP can be used for homogeneous excitation of the heart volume across a 1300 Hz frequency range, including the water and the main six fat peaks, or with longer pulse durations and higher FAs for a smaller transmit bandwidth. Moreover, despite large inter‐volunteer variations, broadband UP can be used for calibration‐free 3D heart FA homogenization in time‐critical situations.
The mediating role of psychological capital on the relationship between authentic leadership and innovative behaviour among Chinese nurses
Authors: Zhang Guowen , Lin Wenfeng , Song Guiqi , Chen Juanjuan , Li Huiping , Sun Liqin , Cheng Baozhen , Zhang Xiaohong 
Published: March 2024

AbstractAimTo explore the mediating role of psychological capital between authentic leadership and innovative behaviour among Chinese nurses.DesignA cross‐sectional study.MethodsIn December 2021, online surveys were delivered among nurses from 37 hospitals in Anhui Province by convenience sampling approach. The data was collected using the Chinese version of the Authentic Leadership Questionnaire, Nurse Psychological Capital Questionnaire and Nurse Innovative Behaviour Scale. The structural equation model and bootstrap test examined the mediating role of psychological capital between authentic leadership and innovative behaviour.Results3495 Chinese nurses from 37 Anhui Province hospitals participated in this study. The mean item score of authentic leadership was 3.25 (SD 0.83), psychological capital was 4.85 (SD 0.89), and innovative behaviour was 2.82 (SD 0.84). Authentic leadership perceived by nurses, psychological capital, and innovative behaviour were statistically significant and positively correlated with each other (r = 0.524 ~ 0.806, p < 0.01). Psychological capital significantly mediated the association between authentic leadership and innovative behaviour (β = 0.449, p < 0.001), and its mediating effect accounted for 76.75% of the total effect.ConclusionResults suggest the importance of developing nurse managers' authentic leadership to foster nurses' psychological capital and innovation behaviour.
Reactive melt‐grafting of maleic anhydride onto olefin block copolymer toward high‐performance polar polyolefin thermoplastic elastomer
Authors: Kou Yu , Ma Yuqi , Li Jialiang , Zhang Shilong , Cao Jiaxun , Deng Hua , Zhu Yanling , Zhao Yongsheng , Qin Jianbin , Zhang Guangcheng 
Published: March 2024

AbstractThe block structure of olefin block copolymer (OBC) elastomer gives it good elasticity and heat resistance relative to other polyolefin elastomers. However, the non‐polar nature of OBC chains limits its comprehensive properties like dyeing and toughening for polar engineering plastics. In this work, maleic anhydride (MA) and dicumyl peroxide (DCP) were selected as a typical polar monomer and a radical initiator to modify the polarity of OBC elastomer. During the melt‐grafting process, the DCP content was tuned to optimize the grafting efficiency while the MA‐to‐OBC ratio was fixed at 5 wt%. It was found that all the melt‐grafting reactions show high efficiency and can be finished in 3 min at 170 °C. With the increase of DCP content, the estimated grafting degree of OBC‐g‐MA elastomer increases from 0.40% to 1.16% along with increased gel content from 4.27% to 22.44%. A suitable grafting process was obtained with a DCP content of 3.0 wt% by balancing grafting efficiency and final mechanical properties. The optimized OBC‐g‐MA elastomer with a grafting degree of 0.92% has a mechanical strength of 17.15 MPa, a Young's modulus of 26.35 MPa, elongation of 1564% and strain recovery of 59.73%. Additionally, the contact angle test shows that polar grafting can increase surface hydrophilicity while excessive crosslinking promotes hydrophobicity. Therefore, our work has demonstrated the feasibility of the reactive melt‐grafting method to prepare OBC‐g‐MA elastomer and can also provide a processing reference for other chemical functionalization of polyolefin thermoplastic elastomers. © 2024 Society of Industrial Chemistry.
High‐Resolution Patterning of Conductive Microstructures by Electrostatic Deposition of Aerosol Au Nanoparticles through the Dielectric Mask
Authors: Efimov Alexey , Patarashvili Anton , Maslennikov Dmitry , Davydov Vladislav , Kornyushin Denis , Ghorbani Fard Mohammad Reza , Labutov Dmitry , Torgunakov Vitaly , Zebreva Margarita , Ivanov Victor 
Published: March 2024

A new approach of electrostatically focusing nanoparticles through an electrical tape mask to form narrow <10 μm and conductive microstructures is developed and investigated in this work. The presented approach is similar to deposition of material through a stencil and allows one to obtain lines 15 times smaller than the width of the gap in the mask. It is proposed to use ordinary polyvinyl chloride (PVC) electrical tape as a mask instead of expensive photo or electronic resists. The work investigates the influence of a mask thickness (height) of 60–180 μm, a gap width of 120–380 μm, a substrate potential of 0.1–5 kV, and a deposition time of 10 and 120 min on the geometry and electrical properties of the lines. Charged Au nanoparticles 60 nm in size synthesized by spark discharge are the building blocks of microstructures. Numerical modeling of the process of focusing nanoparticles in COMSOL qualitatively confirms the found experimental dependencies. The electrical resistivity of the sintered lines is 6.34 times higher than that of bulk gold. The developed approach makes it possible to obtain high‐aspect microstructures and supports operation at atmospheric pressure.
Physics‐based and data‐driven approaches for lifetime estimation under variable conditions: Application to organic light‐emitting diodes
Authors: Helal Sara , BenSaïda Ahmed , Abed Fidaa , El‐Amin Mohamed F. , Majid Mohammed A. , Kittaneh Omar 
Published: March 2024

AbstractThe prognosis of organic light‐emitting diodes (OLEDs) not only requires early detection of a bearing defect, but also the capability to predict their life data under all operational scenarios. The use of sophisticated machine learning (ML) algorithms is undoubtedly becoming an increasingly exciting research direction, as these algorithms can yield high predictive models with minimal domain expertise. The central question of this perspective is: how well can ML models advance our ability to forecast the lifetime of OLEDs compared to the physics‐based models? In this paper, data‐driven methods, feed‐forward neural networks (FFNN), support vector machines (SVMs), k‐nearest neighbors (KNNs), partial least squares regression (PLSR), and decision trees (DTs), are used to predict the lifetime and reliability of OLEDs through analyzing the lumen degradation data collected from the accelerated lifetime test. The final predicted results indicate that both the data‐driven and our physics‐based OLED lifetime models fit well the experimental data. The main drawback of the former method is that their efficacy is highly contingent on the quantity and quality of the operational dataset. Among all these methods, much more reliability information (time to failure) and the highest prediction accuracy can be achieved by FFNN.