bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fixed is not the opposite of growth: Item keying matters for measuring mindsets
Authors: Grüning David J. , Rammstedt Beatrice , Lechner Clemens M. 
Published: December 2023

AbstractResearch on growth mindset, the belief that one’s cognitive abilities are malleable and can be developed through dedication and practice, has received considerable media attention and influenced educational policy and practice. However, mindset theory and measurement have also drawn criticism. In the present paper, we add a cautionary note pertaining to the conceptualization and measurement of growth mindset. Through a critical reanalysis of a large-scale representative study of adolescents from the US (N = 15,362), we show that a growth (i.e., forward-keyed) and a fixed (i.e., reverse keyed) mindset item from a widely used scale are only moderately correlated (r = −.31). Further, we demonstrate that the two items are very differently related with a range of educationally relevant criteria such as learning engagement and self-efficacy, and sociodemographic characteristics such as sex. This leads us to conclude that the growth and fixed mindset items are not mutually interchangeable (apart from keying) indicators of a unidimensional construct that has fixed and growth mindset at its opposing poles. Which items researchers choose to measure mindset (fixed, growth, or a blend thereof) may therefore have a significant impact on the findings they obtain. Our insights highlight the need for greater attention to the conceptual foundations and measurement of mindset in future studies.
Upscaling biomass production of rosmarinic acid-rich hairy root cultures of Agastache rugosa (Fisch. & C.A.Mey.) Kuntze
Authors: Kozłowska Weronika , Piątczak Ewelina , Kolniak-Ostek Joanna , Kochan Ewa , Pencakowski Bartosz , Stafiniak Marta , Bielecka Monika , Płachno Bartosz J. , Strzemski Maciej , Matkowski Adam , Zielińska Sylwia 
Published: December 2023

AbstractAgastache rugosa (Fisch. & C. A. Mey.) Kuntze known as Korean Mint is a medicinal and aromatic plant containing rosmarinic acid as a major bioactive polyphenol but its content in this herbal drug is variable. Plant in vitro culture is one of the approaches used to overcome the complexity of environmental factors influencing phytochemical profiles in medicinal plants. In this study, hairy root cultures of A. rugosa were established through the infection of Rhizobium rhizogenes. Four hairy roots lines were selected on the basis of biomass production in liquid media. Transformation was confirmed by PCR using rol C specific primers. The hairy roots were successfully cultured in 300 mL conical flasks and scaled-up using three bioreactor types (nutrient sprinkle bioreactor—NSB and two modular temporary immersion systems—RITA® and Plantform®). The UPLC analysis of A. rugosa transformed roots methanol extracts showed the presence of 24 polyphenolic compounds with the predominance of rosmarinic acid (RA), which level ranged between 3.82 and 9.16 mg/g of dry weight, depending on the culture system. Nineteen compounds were identified in hairy roots growing in NSB system, 9 of them were identified in roots cultured in RITA® or Plantform® and 7 compounds were identified in roots from Erlenmeyer flasks. The R. rhizogenes infection (strain A4) was found to be an effective method of hairy root culture establishment of A. rugosa.
Nutrient intake, digestibility, and utilization in goats fed graded levels of hempseed cake finisher diets
Authors: Semwogerere Farouk , Chikwanha Obert C. , Katiyatiya Chenaimoyo L. F. , Marufu Munyaradzi C. , Mapiye Cletos 
Published: December 2023

AbstractGlobally, the price of soybean meal, the most common proteinaceous ingredient in livestock diets, has become highly expensive prompting a search for alternative ingredients. Hemp seed cake is a promising alternative but could be limited by its high neutral detergent fiber and ether extract contents which impede nutrient intake and digestibility. However, some ruminant species such as goats have superior ability to digest high fiber and ether extract diets. Thus, the current research evaluated nutrient intake and digestibility, rumen fermentation, and microbial protein synthesis of goats fed hempseed cake as a substitute for soybean meal in finisher diets. A total of 25 Kalahari Red castrates (27 ± 3 kg, 4–5 months old) were assigned to five dietary treatments (5 goats/ diet) in a completely randomized design. A maize-lucerne-based finishing diet was formulated with hempseed cake substituting soybean meal as the primary protein ingredient at 0, 25, 50, 75, or 100 g/kg dry matter. Ether extract intake exhibited a positive linear trend (P ≤ 0.05) while crude protein intake and microbial nitrogen supply exhibited a negative linear trend (P ≤ 0.05) with dietary inclusion of hempseed cake. However, feeding hempseed cake did not influence (P > 0.05) apparent nutrient digestibility, rumen fermentation parameters and nitrogen use efficiency. In conclusion, the substitution of soybean meal for hempseed cake decreased crude protein intake and microbial nitrogen supply in goat finisher diets without compromising nutrient digestibility and nitrogen use efficiency. The study recommends partial or full replacement of soybean meal with hempseed cake in goat finisher diets.
Study of Interface-Related Mechanisms in the Early Stage Precipitation of σ Phase in Hyper Duplex Stainless Steels
Authors: Jacob Aurélie , Schuster Roman , Solyom Laszlo , Keplinger Andreas , Povoden-Karadeniz Erwin 
Published: December 2023

AbstractThis work aims to computationally explore the diffuse prerequisites for σ phase precipitation in high-alloyed duplex steels. The diffusion control for the early precipitation stage of the σ phase was studied by the Calphad thermodynamic modeling combined with the DICTRA software. Different nucleation sites, α/γ, and α/α and γ/γ grain-boundaries, were studied using thermodynamic and mobility databases developed by the present authors in previous works for high-alloyed duplex stainless steel. Simulation results were compared to experimentally obtained microstructures of aged samples. The study of the concentration profiles of the elements Cr, Mo, and Ni revealed that the precipitation is most favorable within the α phase due to fast mobility and strong thermodynamic driving force favoring the formation of the σ phase. Based on the present results, the role of the different heterogeneous sites for the precipitation of the σ phase in hyper duplex steel is discussed.
The Effects of Appropriate Perioperative Exercise on Perioperative Neurocognitive Disorders: a Narrative Review
Authors: Feng Hao , Zhang Zheng , Lyu Wenyuan , Kong Xiangyi , Li Jianjun , Zhou Haipeng , Wei Penghui 
Published: December 2023

AbstractPerioperative neurocognitive disorders (PNDs) are now considered the most common neurological complication in older adult patients undergoing surgical procedures. A significant increase exists in the incidence of post-operative disability and mortality in patients with PNDs. However, no specific treatment is still available for PNDs. Recent studies have shown that exercise may improve cognitive dysfunction-related disorders, including PNDs. Neuroinflammation is a key mechanism underlying exercise-induced neuroprotection in PNDs; others include the regulation of gut microbiota and mitochondrial and synaptic function. Maintaining optimal skeletal muscle mass through preoperative exercise is important to prevent the occurrence of PNDs. This review summarizes current clinical and preclinical evidence and proposes potential molecular mechanisms by which perioperative exercise improves PNDs, providing a new direction for exploring exercise-mediated neuroprotective effects on PNDs. In addition, it intends to provide new strategies for the prevention and treatment of PNDs.
Improving Financial Literacy and Supporting Financial Decisions: Developing a Personalized Configurator
Authors: Shafiee Sara , Zhang Linda L. , Rasmussen Kourosh Marjani 
Published: December 2023

AbstractFinancial literacy is vital for individuals to understand their economic life cycles and make suitable financial decisions. Due to the increasing complexities, the available financial systems lack the capacity to better educate individuals to facilitate informed financial decision-making. In this study, we capitalize on the configuration principles for creating customized products and services and develop a personalized financial configurator, aiming to better educate individuals for their pension-related decision-making. The personalized financial configurator is developed based on a three-tier distributed system architecture and can generate diverse personalized outputs, e.g., future financial asset changes, future investment potentials for retirement, and recommendations. The outputs together with recommendations facilitate individuals to make informed pension-related decisions, e.g., suitable retirement ages and suitable investment strategies. Hence, the results demonstrated that the personalized financial configurator can better educate individuals by providing personalized data and information, thus facilitating their informed pension-related decision-making.
On deformable fractional impulsive implicit boundary value problems with delay
Authors: Krim Salim , Salim Abdelkrim , Benchohra Mouffak 
Published: December 2023

AbstractThis paper deals with some existence and uniqueness results for a class of deformable fractional differential equations. These problems encompassed nonlinear implicit fractional differential equations involving boundary conditions and various types of delays, including finite, infinite, and state-dependent delays. Our approach to proving the existence and uniqueness of solutions relied on the application of the Banach contraction principle and Schauder’s fixed-point theorem. In the last section, we provide different examples to illustrate our obtained results.
Deriving a zero-truncated modelling methodology to analyse capture–recapture data from self-reported social networks
Authors: Piatek Mark E. , Böhning Dankmar 
Published: December 2023

AbstractCapture–recapture (CRC) is widely used to estimate the size (N) of hidden human populations (e.g., the homeless) from the overlap of sample units between two or more repeated samples or lists (a.k.a., capture occasions). There is growing interest in deriving CRC data from social-network data. The current paper hence explored if self-reported social networks (lists of social ties) submitted by participants from the target population could function as distinct capture occasions. We particularly considered the application of zero-truncated count distribution modelling to this type of data. A case study and follow-up simulation study focused on two methodological issues: (1) that a participant cannot be named in their own self-reported social network and hence cannot be named as many times as non-participants; and (2) positive dependence between being a participant and being named by (a social tie of) other participants. Regarding the latter, a further motivation of the simulation study was to consider the impact of using respondent-driven sampling to select participants, because all non-seed RDS participants are recruited as a social tie of another participant. Exponential random graph modelling was used to generate the simulation study’s target populations. Early comparison was also made to estimates of N from Successive Sampling.
Foldable chain-based transformation method of 3D models
Authors: Zhang Yuxiao , Wang Jin , Zhang Dongliang , Lu Guodong 
Published: December 2023

AbstractA 3D transformable model can be transformed into different shapes through folding operations to suit different needs, such as a table or a chair in daily life. Furthermore, the features of foldable structure and flat components allow it to be folded into a smaller stack for compact storage when not in use. To this end, this study applies a new foldable modular chain structure and proposes a novel method of constructing 3D models into 3D shapes based on this structure and guiding the transformation between shapes. For the construction of the model, that is, to find a module chain path that constructs the model shape, the divide-and-conquer method is adopted. The model is first divided into multiple units, and then the search for the linearly connected module sub-path is executed for each unit. This involves three major steps: unit-based segmentation of the model, search for the unit tree structure that can form the target 3D shape, and search for the modular chain path based on the unit tree. The experimental cases demonstrate the application of the square modular chain in the fields of furniture and toys and prove the effectiveness of the method in constructing and transforming the foldable chain-type modular configurations of the input 3D models.
Characterization of 10 nm – 10 μm coal dust particles generated by simulated different cutting and drilling parameters: mass concentration distribution, number concentration distribution, and fractal dimension
Authors: Zhu Jintuo , Chen Menglin , Wang Liang , Sun Haisong , Wang Chenghao , Azhar Noor , Oduro Nkansah Benjamin 
Published: December 2023

AbstractNano-to-micron-sized coal dust can cause coal workers’ pneumoconiosis (CWP), and cutting and drilling are the main coal dust-generating processes. Based on a self-developed simulated coal cutting and drilling dust generation system, the effects of cutting parameters (tooth tip cone angle, impact angle, roller rotary speed, cutting speed) and drilling parameters (drill bit diameter, drilling speed) on the mass concentration distribution, number concentration distribution and fractal dimension of 10 nm – 10 μm coal dust were investigated. Results show that the mass concentration of 10 nm – 10 μm coal dust generated by cutting/drilling peak at 5.7 – 7.2 μm, while the number concentrations during cutting and drilling respectively peak at 60 – 90 nm and 20 – 30 nm. During both cutting and drilling processes, the generated coal dust particles in 10 – 300 nm account for > 90% of the total 10 nm – 10 μm coal particles, while PM2.5 in PM10 is generally below 18%. It is also found that smaller tooth tip cone angle, larger impact angle, lower roller rotary speed, smaller drill bit diameter, or lower drilling speed can reduce the generation of 10 nm – 10 μm coal dust with a fractal dimension of 0.94 – 1.92. This study reveals the distribution characteristics of nano- to micron-sized coal dust particles under different cutting and drilling parameters, and the research results can serve as reference for adjusting cutting and drilling parameters to lower down the 10 nm – 10 μm coal dust generation and thus prevent the CWP.
Highly Thermally Conductive and Structurally Ultra-Stable Graphitic Films with Seamless Heterointerfaces for Extreme Thermal Management
Authors: Zhang Peijuan , Hao Yuanyuan , Shi Hang , Lu Jiahao , Liu Yingjun , Ming Xin , Wang Ya , Fang Wenzhang , Xia Yuxing , Chen Yance , Li Peng , Wang Ziqiu , Su Qingyun , Lv Weidong , Zhou Ji , Zhang Ying , Lai Haiwen , Gao Weiwei , Xu Zhen , Gao Chao 
Published: December 2023

AbstractHighly thermally conductive graphitic film (GF) materials have become a competitive solution for the thermal management of high-power electronic devices. However, their catastrophic structural failure under extreme alternating thermal/cold shock poses a significant challenge to reliability and safety. Here, we present the first investigation into the structural failure mechanism of GF during cyclic liquid nitrogen shocks (LNS), which reveals a bubbling process characterized by “permeation-diffusion-deformation” phenomenon. To overcome this long-standing structural weakness, a novel metal-nanoarmor strategy is proposed to construct a Cu-modified graphitic film (GF@Cu) with seamless heterointerface. This well-designed interface ensures superior structural stability for GF@Cu after hundreds of LNS cycles from 77 to 300 K. Moreover, GF@Cu maintains high thermal conductivity up to 1088 W m−1 K−1 with degradation of less than 5% even after 150 LNS cycles, superior to that of pure GF (50% degradation). Our work not only offers an opportunity to improve the robustness of graphitic films by the rational structural design but also facilitates the applications of thermally conductive carbon-based materials for future extreme thermal management in complex aerospace electronics.
Investigation on physico-mechanical properties and microstructural evolution patterns of heated granite after liquid nitrogen cooling
Authors: Wu Zhouqian , Li Minghui , Xie Heping , Lu Jun , Chen Cancan 
Published: December 2023

AbstractLiquid nitrogen (LN2) fracturing is recognized as an innovative reservoir enhancement technique, demonstrating significant potential in establishing high permeability pathways in geothermal development. Understanding the physico-mechanical properties and microscopic mechanisms of hot dry rock post LN2 cooling treatment is pivotal for promoting the effective deployment of LN2 fracturing. This study undertook physical and mechanical testing on a quintessential hot dry rock type-granite-post various temperature and LN2 cooling treatments. Subsequently, a multi-scale investigation was conducted on the thermal fracture-pore structure's morphological features and the evolution of mineral components. The experimental findings indicated that LN2 cooling exerts a pronounced impact on the physico-mechanical properties of high-temperature granite. Temperature-induced damage to granite can be delineated into three phases: initial phase up to 200 °C where its effects are relatively imperceptible; an intermediate phase from 200 to 500 °C characterized by gradual deterioration; and a pronounced degradation phase evident at 600 °C. Correlations between the changes in the micro pore-fracture structure of granite and its physico-mechanical property degradation were subsequently established. As temperature escalated, the area of micro-defects in the CT-reconstructed spatial distribution increased progressively. The volumetric porosity damage ratio and fractal dimensions were quantitatively introduced to characterize the fractal geometric features and distribution patterns of internal thermal fractures in granite post thermal shock. Concurrently, NMR experiments indicated that with the escalation of temperature, micropore develop and interlink to form mesopore and macropore, enhancing rock porosity connectivity. These macropores significantly influence granite's physico-mechanical and permeability characteristics. A mineral stability analysis revealed that various minerals undergo physico-chemical reactions, such as dehydration, phase transitions, decomposition, and chemical bond fractures at elevated temperatures, altering mineralogical composition and mineral strength, thus impacting the rock's macroscopic properties. Ultimately, the study delved into the damage mechanisms of granite's physico-mechanical properties from both heating and cooling perspectives during various temperature phases. The insights garnered from this investigation offer novel value in comprehending the thermal damage characteristics induced by LN2 cooling.
How do teachers promote self-regulation of learning when students need to learn at home? The moderating role of teachers’ ICT competency
Authors: Fischer Antonia , Dignath Charlotte 
Published: December 2023

AbstractThe importance of self-regulation of learning became evident during the Covid-19 pandemic and the accompanying school closures. Using data from N = 254 German teachers, we analyze how teachers promoted self-regulation of learning in distance education and reasons why they did not promote it. Additionally, we examine which teacher and class variables predict the promotion of self-regulation of learning in distance education and whether teachers’ technology competency moderates these relationships. Further, we look into whether these relationships differ during the first lockdown in spring 2020, for which teachers were not able to prepare for ahead of time, and the beginning of the new school year 2020/2021. Qualitative analyses indicate that teachers focused on promoting metacognitive strategies and used technology to engage students. Reasons why teachers did not promote self-regulation of learning are mostly a lack of resources and misconceptions about students’ competences and needs. Regression analysis show that teachers’ self-efficacy to promote self-regulation of learning and students’ grade predict teachers’ promotion of self-regulation of learning in distance education. Moderation analyses reveal interactions between teachers’ technology competency and class size as well as grade—but only for the period after the summer holidays in 2020/2021. This paper uncovers areas of improvement for teacher education, such as their misconceptions, self-efficacy beliefs, and their technology competency—not only for homeschooling during a pandemic, but also for future learning opportunities in the 21st century that will contain the need for more self-regulation of learning due to the increasing use of technology and digital learning.
Engaging engineering teams through moral imagination: a bottom-up approach for responsible innovation and ethical culture change in technology companies
Authors: Lange Benjamin , Keeling Geoff , McCroskery Amanda , Zevenbergen Ben , Blascovich Sandra , Pedersen Kyle , Lentz Alison , Agüera y Arcas Blaise 
Published: December 2023

Abstract
We propose a ‘Moral Imagination’ methodology to facilitate a culture of responsible innovation for engineering and product teams in technology companies. Our approach has been operationalized over the past two years at Google, where we have conducted over 60 workshops with teams from across the organization. We argue that our approach is a crucial complement to existing formal and informal initiatives for fostering a culture of ethical awareness, deliberation, and decision-making in technology design such as company principles, ethics and privacy review procedures, and compliance controls. We characterize some distinctive benefits of our methodology for the technology sector in particular.
Geochronological Constraints on the Evolution and Petrogenesis of the Malwa Plateau Subprovince of the Deccan Traps
Authors: Tholt A. J. , Renne P. R. , Marzoli A. , Vanderkluysen L. , Mohabey D. , Samant B. , Dhobale A. , Pande K. , Self S. 
Published: December 2023

AbstractThe eruptive history of the Malwa Plateau Subprovince of the Deccan Traps is addressed by dating 21 lavas spanning the exposed stratigraphic extent, using the 40Ar/39Ar method applied to plagioclase separates. Major, minor, and trace element geochemistry was determined for each of the dated lavas and four additional ones. Dating results indicate that the eruptions began prior to 66.8 Ma, at least 400 ka before the oldest known lava in the more extensively studied Western Ghats, representative of the main Deccan province, to the south. Eruption rates peaked from 66.4 to 66.3 Ma and then diminished until 65.6 Ma. The peak in eruption rates coincides with the well‐documented Late Maastrichtian Warming event. Malwa lavas show some major and trace element affinities with geochemically defined lava flow formations of the Western Ghats, but are generally out of the stratigraphic sequence manifest in the Western Ghats. The distinct geochemical evolution of Malwa Plateau lavas compared with those of the Western Ghats is at least in part a consequence of differences in crustal composition between the two subprovinces. Modeling of REE concentration patterns of Malwa lavas suggests that they were derived by slightly lower degrees of partial melting, at lower mantle temperatures and depths, than those in the Western Ghats. The Malwa Plateau thus appears to record an earlier, cooler stage of the Deccan plume's evolution and continued to erupt through a large part of the lifetime of the main Deccan province.