bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disentangling the Creative Process: an Examination of Differential Antecedents and Outcomes for Specific Process Elements
Authors: Tolkamp Gerben , Vriend Tim , Verwaeren Bart , Reiter-Palmon Roni , Nijstad Bernard 
Published: March 2022

AbstractBuilding on theories of sensemaking, this study demonstrates the importance of disentangling the creative process. Specifically, we show that the specific elements of the creative process (problem construction, information search and encoding, and idea generation) are differentially related to both antecedents and specific types of creative outcomes. Using survey data from employees and their supervisors from a wide variety of organizations, we found that leader creative expectations were more strongly related to idea generation than to problem construction and to information search and encoding. Job autonomy, in contrast, was significantly related to problem construction, but not to information search and encoding or idea generation. Furthermore, we found that although idea generation is positively related to both radical and incremental creativity, problem construction is only positively related to radical creativity. We discuss implications for the study of creative processes and creativity more generally.
A typology of principal investigators based on their human capital: an exploratory analysis
Authors: Foncubierta-Rodríguez María José , Martín-Alcázar Fernando , Perea-Vicente José Luis 
Published: March 2022

AbstractThere is burgeoning literature on principal investigators (PIs) and their influential role in science, technology transfer and research commercialisation. However, there is yet no analysis of this actor from the perspective of their human capital (HC), i.e., the combination of knowledge, abilities and skills that they possess. Consequently, the purpose of this paper is to fill this gap by identifying whether a range of different PI profiles exists, based on their different HC. A cluster analysis was developed using a database comprised of 224 PIs of research teams, from a wide range of scientific fields. Three different PI profiles were identified, research-oriented PIs, accomplished PIs, management-focused PIs. The relationship between each of these profiles and their performance was analysed at both individual and research team level, and our findings reinforce the idea that there is not a size that fits all. Indeed, contrary to the ‘more is better’ statement, higher levels of HC are not necessarily connected to better results, our findings suggested an adequate combination of HC as the best option for PIs. Results of the relationship between PI gender, performance and the three different PI profiles have been examined, as well.
A comparative investigation of uranium and thorium adsorption behavior on amidoximated copolymeric hydrogel
Authors: Akl Zeinab F. 
Published: March 2022

AbstractThis work focuses on investigating the feasibility of using a crosslinked amidoximated copolymeric hydrogel as a potential adsorbent to recover uranium and thorium ions from aqueous media. The hydrogel was synthesized via gamma-irradiation copolymerization and characterized through FTIR, TGA, and SEM. The medium acidity notably affected the adsorption capacity of both ions. The adsorption data was in line with the pseudo-1st-order equation and the Freundlich isothermal model. The thermodynamics analysis showed that the temperature rise promoted the adsorption capacity. The reusability studies highlighted the good performance of the hydrogel up to five regeneration rounds.
Room temperature synthesis of lanthanum phosphates with controlled nanotexture as host for Ln(III) through the Epoxide Route
Authors: Borovik Paula , Oestreicher Víctor , Angelomé Paula C. , Barja Beatriz C. , Jobbágy Matías 
Published: March 2022

AbstractHerein, the Epoxide Route, a one-pot room temperature alkalinization method based on the reaction between a nucleophile and an epoxide, has been employed to synthesize LaPO4 in the form of a Rhabdophane phase. The intrinsic features of this synthetic approach allow the reaction to be followed by pH monitoring, making possible the identification of the different precipitation steps involved in the formation of the solid. Once demonstrated the effectiveness of this chemical methodology, the size and shape of the LaPO4 particles were controlled by varying the identity and proportion of the organic co-solvents employed to perform the reaction. By these means, crystalline particles with dumbbell, urchin and needle shapes were obtained, with sizes that ranged from less than 200 nm to more than 5 μm. Finally, luminescent materials in the form of a LnPO4Rhabdophane structure were easily obtained by the incorporation of EuIII along the whole composition range. Additionally, photophysical characterization of selected samples was performed, with a promising outcome. The results presented in this work pave the way to obtaining a wide variety of luminescent materials with sizes and morphologies adjustable on demand, by using a simple and reliable synthetic approach.
Tree-based dynamic classifier chains
Authors: Loza Mencía Eneldo , Kulessa Moritz , Bohlender Simon , Fürnkranz Johannes 
Published: March 2022

AbstractClassifier chains are an effective technique for modeling label dependencies in multi-label classification. However, the method requires a fixed, static order of the labels. While in theory, any order is sufficient, in practice, this order has a substantial impact on the quality of the final prediction. Dynamic classifier chains denote the idea that for each instance to classify, the order in which the labels are predicted is dynamically chosen. The complexity of a naïve implementation of such an approach is prohibitive, because it would require to train a sequence of classifiers for every possible permutation of the labels. To tackle this problem efficiently, we propose a new approach based on random decision trees which can dynamically select the label ordering for each prediction. We show empirically that a dynamic selection of the next label improves over the use of a static ordering under an otherwise unchanged random decision tree model. In addition, we also demonstrate an alternative approach based on extreme gradient boosted trees, which allows for a more target-oriented training of dynamic classifier chains. Our results show that this variant outperforms random decision trees and other tree-based multi-label classification methods. More importantly, the dynamic selection strategy allows to considerably speed up training and prediction.
Empagliflozin inhibits angiotensin II-induced hypertrophy in H9c2 cardiomyoblasts through inhibition of NHE1 expression
Authors: Abdulrahman Nabeel , Ibrahim Meram , Joseph Jensa Mariam , Elkoubatry Hanan Mahmoud , Al-Shamasi Al-Anood , Rayan Menatallah , Gadeau Alain Pierre , Ahmed Rashid , Eldassouki Hussein , Hasan Anwarul , Mraiche Fatima 
Published: March 2022

AbstractDiabetes mellitus (DM)-induced cardiac morbidities have been the leading cause of death among diabetic patients. Recently, sodium-glucose cotransporter-2 (SGLT-2) inhibitors including empagliflozin (EMPA), which have been approved for the treatment of DM, have gained attention for their cardioprotective effect. The mechanism by which SGLT-2 inhibitors exert their cardioprotective effect remains unclear. Recent studies have suggested that EMPA exerts its cardioprotective effect by inhibiting the Na+/H+ exchanger (NHE), a group of membrane proteins that regulate intracellular pH and cell volume. Increased activity and expression of NHE isoform 1 (NHE1), the predominant isoform expressed in the heart, leads to cardiac hypertrophy. p90 ribosomal s6 kinase (p90 RSK) has been demonstrated to stimulate NHE1 activity. In our study, H9c2 cardiomyoblasts were treated with angiotensin II (ANG) to activate NHE1 and generate a hypertrophic model. We aimed to understand whether EMPA reverses the ANG-induced hypertrophic response and to elucidate the molecular pathway contributing to the cardioprotective effect of EMPA. Our study demonstrated that ANG-induced hypertrophy of H9c2 cardiomyoblasts is accompanied with increased SGLT-1 and NHE1 protein expression, an effect which is prevented in the presence of EMPA. EMPA reduces ANG-induced hypertrophy through the inhibition of SGLT-1 and NHE1 expression.
A fast face recognition based on image gradient compensation for feature description
Authors: Zhang Yanhu , Yan Lijuan 
Published: March 2022

AbstractTo improve the efficiency of traditional face recognition techniques, this paper proposes a novel face recognition algorithm called Image Gradient Feature Compensation (IGFC). Based on the gradients along four directions in an image, a fusion algorithm and a compensation method are implemented to obtain features of the original image. In this study, gradient magnitude maps of a face image are calculated along four directions. Fusion gradients and differential fusion gradients are produced by fusing the four gradient magnitude maps of a face image in multiple ways, and they are used as compensation variables to compensate the appropriate coefficients on the original image and build IGFC feature maps of the original face image. Subsequently, IGFC feature maps are divided into several blocks to calculate the concatenated histogram over all blocks, which is in turn utilized as the feature descriptor for face recognition. Principal component analysis (PCA) is used to cut down the number of dimensions in high-dimensional features, which are recognized by the Support Vector Machine (SVM) classifier. Finally, the proposed IGFC method is superior to traditional methods as suggested by verification studies on YALE, ORL, CMU_PIE, and FERET face databases. When the LibSVM parameter was set to ‘-s 0 -t 2 -c 16 -g 0.0009765625’, the algorithm achieved 100% recognition on Yale and ORL data sets, 92.16% on CMU_PIE data sets, and 74.3% on FERET data sets. The average time for simultaneous completion of the data sets examined was 1.93 s, and the algorithm demonstrated a 70.71% higher running efficiency than the CLBP algorithm. Therefore, the proposed algorithm is highly efficient in feature recognition with excellent computational efficiency.
Validity and reliability of impact forces from a commercially instrumented water-filled punching bag
Authors: Diewald Shelley N. , Cross Matt R. , Neville Jono , Cronin John B. 
Published: March 2022

AbstractMeasuring striking forces is important to provide actionable insight for training and performance enhancement for combat sport athletes. Recent technology may provide a low-cost solution to an otherwise complicated kinetic assessment. The aim was to assess the reliability and validity of a water-filled training bag and integrated sensor for measuring peak impact force. A pendulum design was used to swing a range of known mass loads (kettlebells) from various heights to impact a stationary 21″ Aqua Training Bag®. For each condition, the momentum of the mass at impact was calculated and compared with the measured impact force from a pressure sensor affixed to the side of the water-filled bag. Peak impact force was strongly associated with calculated momentum (r(18) = 0.96 [0.91, 0.99], p < 0.001), with a high degree of shared variance (92.7%, F(1,18) = 229.9, p < 0.001). There was almost perfect agreement for all reliability loading conditions (ICC = 0.995–0.999) and typical error was ≤ 5% (CV = 3.3–5.1). Impact kinetics from the sensor appear to be reliable and valid and may be integrated into practice and research. However, the utility of the instrumented bag for striking kinetics of athletes, and thus practical utility when used in the field, requires further investigation.
Computational fluid dynamics investigations of aerodynamic control surfaces of a vertical landing configuration
Authors: Charbonnier Dominique , Vos Jan , Marwege Ansgar , Hantz Christian 
Published: March 2022

AbstractThe European project RETALT (Retro Propulsion Assisted Landing Technologies), funded by the Horizon 2020 framework program (Grant agreement No 821890), has as main objective to investigate critical technologies for the assisted descent and landing of re-usable first stages. Among these technologies, one can find aerodynamics, aerothermodynamics, flight dynamics, guidance navigation and control (GNC), Structures, mechanisms, thrust vector control (TVC) and thermal protection systems (TPS). The present paper focuses in particularly on the aerodynamics technology applied to a vertical landing launcher configuration, called RETALT1, including retro-propulsion. During the landing phase of the first stage of the launcher, the main devices for control and trim of the vehicle (besides the retro-propulsion) are the aerodynamic control surfaces (ACS). Three types of aerodynamic control surfaces are investigated by means of numerical computations, using the NSMB (Navier Stokes Multi Block) CFD code. The control surfaces considered are the deployable interstage segments (also named petals), grid fins and planar fins. Aerodynamic coefficients as well as forces acting on the control surfaces are extracted from the CFD computations to assess the efficiency of each type of devices and to populate the Aerodynamic Database (AEDB) for flight dynamic analysis.
Characterization of wellbore asphaltene deposition in well Gaotan-1 in Junggar Basin, China
Authors: Li Erting , Zhang Yahe , Wang Jian , Wu Hao , Zhou Ni , Ma Wanyun , Mi Julei , Shi Quan 
Published: March 2022

AbstractGaotan-1 is the first high-yield well explored in the southern margin of Junggar Basin, China, which is a major breakthrough in the oil exploration for Xinjiang Oilfield Company. The well produced high-quality light crude oil with very low sulfur content and total acid number. However, serious sedimentation occurred in the wellbore during production, which seriously affects production. In this paper, the sediments from Gaotan-1 were separated into organic soluble and inorganic solid fractions. The organic compounds were characterized by high resolution mass spectrometry and high temperature gas chromatography. It was found that the organic matter was rich in asphaltenes with very high molecular condensation. The high condensation compounds should be formed in the high temperature reservoir environment, which was extracted by the supercritical fluid formed by the light hydrocarbons under the ultra-high temperature and pressure. Due to its super-dissolving ability, the high-condensation hydrocarbons and asphaltenes are brought out of the reservoir, and deposit gradually mixed with silty sand on the wall of the wellbore as the temperature and pressure dropped in the process of oil exploitation.
Investigating teacher influence on student engagement in high schools
Authors: Thomas Jeff , Nair Manoj 
Published: March 2022

AbstractStudent engagement is a pivotal contributor to academic achievement, retention, and well-being, and yet the role of teacher influence on engagement is poorly understood. This is in part due to the contextual and ‘hidden’ nature of student engagement, and as such, levels of student engagement are assumed through observable factors such as attendance and conduct. It is also due to the difficulty in mapping student engagement simultaneously with understanding the teacher practices used to influence it. This article reports on a pre-post case study in which student survey and teacher focus group data were analysed together, revealing the nature and depth of association between the practices adopted by teachers and student engagement. By comparing the change of engagement at a class or homegroup level, it was possible to identify how approaches used by teachers impacted various elements of engagement. Furthermore, it found a high correlation between teacher practices and change in student engagement at a class or homegroup level, providing the opportunity for teachers to learn what practices were effective in their specific context.
Dynamic Response Analysis of Ballasted Railway Track–Ground System under Train Moving Loads using 3D Finite Element Numerical Modelling
Authors: Sayeed Md. Abu , Shahin Mohamed A. 
Published: March 2022

AbstractThe faster and heavier trains in modern railway traffic are getting popularity in the public transportation authorities of many countries. Such trains cause higher stresses and excessive deformations in the ballasted railway track substructure under train dynamic loadings, which raises the risk of track damage and derailment. It is thus essential to investigate the impact of different influencing factors on the dynamic response of ballasted railway track–ground systems. In this study, a sophisticated three-dimensional finite element model simulating realistic train moving loads is presented and used to investigate the dynamic response of ballasted railway tracks in terms of stress transmission and track deflections under various train–track–ground conditions. The influencing factors considered in this study include the modulus and thicknesses of track substructure layers, the amplitude of train moving loads and the train speed. The outcomes of this study encompass important guidance to railway engineers to assist in finding the best possible scheme for the design of ballasted railway tracks and lifetime maintenance.
Management of patients at very high risk of osteoporotic fractures through sequential treatments
Authors: Curtis Elizabeth M. , Reginster Jean-Yves , Al-Daghri Nasser , Biver Emmanuel , Brandi Maria Luisa , Cavalier Etienne , Hadji Peyman , Halbout Philippe , Harvey Nicholas C. , Hiligsmann Mickaël , Javaid M. Kassim , Kanis John A. , Kaufman Jean-Marc , Lamy Olivier , Matijevic Radmila , Perez Adolfo Diez , Radermecker Régis Pierre , Rosa Mário Miguel , Thomas Thierry , Thomasius Friederike , Vlaskovska Mila , Rizzoli René , Cooper Cyrus 
Published: March 2022

AbstractOsteoporosis care has evolved markedly over the last 50 years, such that there are now an established clinical definition, validated methods of fracture risk assessment and a range of effective pharmacological agents. Currently, bone-forming (anabolic) agents, in many countries, are used in those patients who have continued to lose bone mineral density (BMD), patients with multiple subsequent fractures or those who have fractured despite treatment with antiresorptive agents. However, head-to-head data suggest that anabolic agents have greater rapidity and efficacy for fracture risk reduction than do antiresorptive therapies. The European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO) convened an expert working group to discuss the tools available to identify patients at high risk of fracture, review the evidence for the use of anabolic agents as the initial intervention in patients at highest risk of fracture and consider the sequence of therapy following their use. This position paper sets out the findings of the group and the consequent recommendations. The key conclusion is that the current evidence base supports an “anabolic first” approach in patients found to be at very high risk of fracture, followed by maintenance therapy using an antiresorptive agent, and with the subsequent need for antiosteoporosis therapy addressed over a lifetime horizon.
Simulation research and application on response characteristics of detecting water-filled goaf by transient electromagnetic method
Authors: Qi Tingye , Zhang Fan , Pei Xiaoming , Feng Guorui , Wei Huiru 
Published: March 2022

AbstractWater inrush disasters poses a great threat to the safe exploitation of coal resources. To solve this problem, the transient electromagnetic method (TEM) was proposed to accurately detect the water accumulation in the goaf. The electromagnetic response characteristics of different water-filled goaves were studied by electromagnetic field theory, numerical simulation and field verification. Through the models of 100% water accumulation, 50% water accumulation, 0% water accumulation, 100% water accumulation with collapsed rock, 50% water accumulation with collapsed rock and 0% water accumulation with collapsed rock goaf, the characteristics of induced voltage attenuation curves were studied. Meanwhile, the relationship between the attenuation voltage value and area of the transmitting coil, the depth of the goaf, the background resistivity, and the delay time were also simulated. The results illustrate that the attenuation curve of induced voltage presented a regular exponential decay form in the 0% water accumulation model but existed abnormal exaltation for voltage in water-filled model. Through the linear fitting curve, it can be seen that the abnormal intensity of the induced voltage becomes stronger as the distance between the measuring point and the center of the target decrement. Moreover, the abnormal amplitude of the induced voltage increases with the rise of the water accumulation and collapsed rock will weakly reduce the low-resistivity anomalous effect on the water-accumulated goaf. In addition, the response value of the attenuation voltage increased as the area of the transmitting coil increases, but decreased with increasing delay time and increasing background resistivity and depth of the target body. The field detection results of the Majiliang coal mine also confirmed the theoretical analysis and the numerical simulation.
Spectral boundary integral method for simulating static and dynamic fields from a fault rupture in a poroelastodynamic solid
Authors: Heimisson Elías Rafn , Rinaldi Antonio Pio 
Published: March 2022

AbstractThe spectral boundary integral method is popular for simulating fault, fracture, and frictional processes at a planar interface. However, the method is less commonly used to simulate off-fault dynamic fields. Here we develop a spectral boundary integral method for poroelastodynamic solid. The method has two steps: first, a numerical approximation of a convolution kernel and second, an efficient temporal convolution of slip speed and the appropriate kernel. The first step is computationally expensive but easily parallelizable and scalable such that the computational time is mostly restricted by computational resources. The kernel is independent of the slip history such that the same kernel can be used to explore a wide range of slip scenarios. We apply the method by exploring the short-time dynamic and static responses: first, with a simple source at intermediate and far-field distances and second, with a complex near-field source. We check if similar results can be attained with dynamic elasticity and undrained pore-pressure response and conclude that such an approach works well in the near-field but not necessarily at an intermediate and far-field distance. We analyze the dynamic pore-pressure response and find that the P-wave arrival carries a significant pore pressure peak that may be observed in high sampling rate pore-pressure measurements. We conclude that a spectral boundary integral method may offer a viable alternative to other approaches where the bulk is discretized, providing a better understanding of the near-field dynamics of the bulk in response to finite fault ruptures.