bluuebunny/crossref_metadata_2025_split huggingface dataset:
1H‐13C cross‐polarization kinetics to probe hydration‐dependent organic components of bone extracellular matrix
Authors: Dwivedi Navneet , Siddiqui Mohd Adnan , Srivastava Seema , Sinha Neeraj 
Published: March 2023

AbstractBone is a living tissue made up of organic proteins, inorganic minerals, and water. The organic component of bone (mainly made up of Type‐I collagen) provides flexibility and tensile strength. Solid‐state nuclear magnetic resonance (ssNMR) is one of the few techniques that can provide atomic‐level structural insights of such biomaterials in their native state. In the present article, we employed the variable contact time cross‐polarization (1H‐13C CP) kinetics experiments to study the hydration‐dependent atomic‐level structural changes in the bone extracellular matrix (ECM). The natural abundant 13C CP intensity of the bone ECM is measured by varying CP contact time and best fitted to the nonclassical kinetic model. Different relaxation parameters were measured by the best‐fit equation corresponding to the different hydration conditions of the bone ECM. The associated changes in the measured parameters due to varying levels of hydration observed at different sites of collagen protein have provided its structural arrangements and interaction with water molecules in bone ECM. Overall, the present study reveals a better understanding of the kinetics of the organic part inside the bone ECM that will help in comprehending the disease‐associated pathways.
Effects of coping on nurses' mental health during the COVID‐19 pandemic: Mediating role of social support and psychological resilience
Authors: Xu Ying , Zheng Qing‐Xiang , Jiang Xiu‐Min , Guo Sheng‐Bin , Kang Yu‐Lan , Lin Yu‐Ping , Liu Gui‐Hua 
Published: March 2023

AbstractBackgroundFighting against the COVID‐19 pandemic, front‐line nurses were under unprecedented psychological pressure. Therefore, it is necessary to promptly evaluate the psychological status of nurses during the COVID‐19 epidemic period.AimTo investigate nurses' mental health during the COVID‐19 pandemic, and to test the mediating role of social support and psychological resilience between coping and mental health.DesignThis was a descriptive, cross‐sectional survey which used a structural equation model.MethodIn total, 711 registered nurses were included. All participants were invited to complete a socio‐demographic questionnaire, the general health questionnaire, the trait coping style questionnaire, the perceived social support scale and the Conner–Davidson Resilience scale.ResultsIn total, 50.1% nurses had high risk of mental health. Positive coping positively affected social support and psychological resilience, while it negatively affected mental health. Negative coping negatively affected social support and psychological resilience, while it positively affected mental health. Social support positively affected psychological resilience, while it negatively affected mental health. In addition, social support mediated coping and psychological resilience, and coping and mental health. Moreover, psychological resilience negatively affected mental health, and it mediated coping and mental health.
Wear resistant PEEK composites with great mechanical properties and high thermal conductivity synergized with carbon fibers and h‐BN nanosheets
Authors: Yang Fei , Li Jun , Han Sensen , Ma Na , Li Qingsong , Liu Dongyan , Sui Guoxin 
Published: March 2023

AbstractIt is well known that carbon fiber (CF) reinforced PEEK (polyether‐ether‐ketone) (defined as “PEEK/CF”) composites have excellent properties and have been widely used in diverse fields. Meanwhile, hexagonal boron nitride (h‐BN), as an excellent nano reinforcing agent, is often incorporated into polymer to improve its mechanical strength and thermal conductivity. Herein, PEEK matrix was regulated by adding high‐strength CF as the load‐bearing phase and 2D h‐BN sheets as the solid lubricant and thermally conductive fillers prepared by melt blending to achieve the multi‐scale packing of uniform mixing. The results show that h‐BN is well dispersed in PEEK matrix and improves the interfacial bonding between CF and PEEK matrix, exhibiting a good synergistic effect in enhancing tensile properties of composites. PEEK composite with 20 wt% CF and 4 wt% h‐BN (referred as P/20C/4B) exhibits the highest tensile strength (176.05 MPa) and thermal conductivity (0.396 W/(m·K)), which are 97.54% and 126.3% over those of pure PEEK (89.12 MPa; 0.175 W/(m·K)), respectively. In addition, PEEK composite with 10 wt% CF and 4 wt% h‐BN (referred as P/10C/4B) has excellent tribological properties with a friction coefficient of 0.15, the lowest fiction temperature (30.5°C) and a relative low wear rate of 1.62 × 10−6 mm3/(N·m) among them. The synergitic effects of h‐BN and CF on mechanical, tribological properties and thermal conductivity of PEEK composites provides a very broad prospect in their application of low frictional and wear resistant polymeric materials.
Characterization of moisture absorption and flexural performance of functionalized graphene modified carbon fiber composites under low energy impact
Authors: Korkees Feras , Morris Elliot , Jarrett William , Swart Russo 
Published: March 2023

AbstractComposite failure due to in‐service low energy impact damage and moisture absorption is a major risk for these materials within aerospace, automotive and other engineering sectors. Deterioration in post‐impact flexural properties, and the tendency of thermosets to absorb moisture are some of the few drawbacks of carbon fiber reinforced polymers (CFRPs). Adding graphene into the matrix is theorized to improve mechanical properties and reduce moisture uptake. This study evaluates the diffusion characteristics and flexural properties of carbon fiber/epoxy composites modified with NH2 functionalized graphene (CFRP/graphene nanoparticle [GNPs]) before and after impact under various environmental conditions. Adding GNPs to CFRP decreased the flexural strength and modulus by 24% and 25% respectively before impact. After impact, the flexural strength and modulus decreased by 7.4%–23.6% and 37%–67%, respectively. For both composites after undergoing impact, the residual strength and stiffness were considerably reduced due to delamination and transverse cracking. Samples with graphene inclusion experienced a slower rate of ethanol and water diffusion, for both unimpacted and impacted samples, by 46.4% and 44.8%, respectively. Moisture uptake also reduced the flexural properties of both composites. Scanning electron microscopy revealed good dispersion but poor bonding of graphene to the matrix, which is believed to be the reason for property reduction.
Modification of ricinoleic acid based nonisocyanate polyurethane using polyamine containing polyhedral oligomeric silsesquioxane
Authors: Li Heng , Ren Fang‐Yu , Li Hong‐Ru , He Liang‐Nian 
Published: March 2023

AbstractBiomass‐based polymers and their property regulation using functional materials have attracted much interest. In this work, ricinoleic acid‐derived cyclic carbonate was prepared and applied to the synthesis of nonisocyanate polyurethane (NIPU) with aliphatic diamine, in which octa(aminopropyl) polyhedral oligomeric silsesquioxane (OAP‐POSS) was incorporated as polyamine to partially or totally substitutes for the diamine to introduce POSS units into the polymer thus regulating the properties of the resultant material. In the curing process, Fourier transform infrared spectroscopy (FT‐IR) was used to track the reaction and curing at 50°C for 12 h was found to be sufficient for the polymerization. A series of POSS modified NIPUs were obtained by altering the molar fraction of OAP‐POSS in total amine components and the material with the highest thermal stability, shore hardness and water resistance was accessed with 100% substitution of OAP‐POSS for diamine.
Thermal‐oxidative aging and tribological properties of carbon nanotube/nitrile butadiene rubber composites with varying acrylonitrile content: Molecular dynamics simulations
Authors: Qian Cheng , Li Yunlong , Zhao Jing , Wang Shijie , He Enqiu 
Published: March 2023

AbstractNitrile butadiene rubber (NBR), a common material used in the stator rubber of screw pumps, usually undergoes severe thermal‐oxidative aging and wear at various temperatures and pressures. In this study, 1,2‐dihydro‐2,2,4‐trimethylquinoline (antioxidant RD) and carbon nanotubes (CNTs) were introduced into NBR to improve its thermal‐oxidative aging performance and reduce its wear. The thermal‐oxidative aging and mechanical and tribological properties of NBR composites with acrylonitrile (ACN) contents of 28%, 33%, and 41% were investigated via molecular dynamics simulations, and the interaction mechanisms of four composites: RD/N28, CNT/RD/N28, CNT/RD/N33, and CNT/RD/N41, were investigated at the atomic level. A three‐layer model (Fe–Composites–Fe) was developed to simulate the wear process of the composites. CNT/RD/N41 exhibited better thermal‐oxidative aging and tribological properties than those exhibited by CNT/RD/N28 and CNT/RD/N33. This was attributed to an increase in the polar–polar interactions of the nitrile (CN) groups with an increasing ACN content. During friction, a larger frictional force existed between the CNT/RD/N41 molecules, which effectively maintained the stability of the matrix. This study provides a scientific reference for the preparation of high‐performance NBR at the microscopic scale, which may extend the service life of screw pumps.
Organisational justice, job performance and work engagement: The mediating role of perceived supervisory support
Authors: Ahamed Ameer Asra , Patrick Harold Andrew , Kareem Jacqueline , Mukherjee Ujjal , Nepoleon Munuswamy Prabakaran 
Published: March 2023

AbstractThe study establishes a relationship between organisational justice, work engagement, job performance, perceived supervisory support and their sub‐dimensions. The major research objectives of the study were to check if perceived supervisory support does mediate between organisational justice, work engagement and job performance of faculty in higher educational institutions. A research model was framed and tested to determine the direct and indirect effect of justice of faculty members on work engagement and job performance in the presence of supervisory support in higher education sector. The present study is based on 912 faculty members of higher educational institutions. Five valid, reliable and standard questionnaires were adopted to collect primary data from the higher educational institutions' faculty members in south India. From the study, it is proved that perceived supervisory support partially mediates organisational justice, work engagement and job performance.
Using leisure crafting to reduce emotional exhaustion at home during the COVID‐19 pandemic through better sleep and not thinking about the pandemic
Authors: Chen I‐Shuo 
Published: March 2023

AbstractDrawing on conservation of resources (COR) theory, we aimed to investigate whether leisure crafting reduces emotional exhaustion by improving sleep quality and strengthening psychological detachment from the coronavirus disease 2019 (COVID‐19) pandemic. We posited that sleep quality and psychological detachment from the COVID‐19 pandemic mediate the negative relationship between leisure crafting and emotional exhaustion. We carried out a two‐wave longitudinal study among a group of individuals (N = 216) from Wuhan, China. We measured leisure crafting, sleep quality, and psychological detachment from the COVID‐19 pandemic at Time 1 and emotional exhaustion two months later at Time 2. We discovered that leisure crafting reduced emotional exhaustion at home by improving sleep quality and increasing psychological detachment from the COVID‐19 pandemic. At the end of this article, we discuss theoretical and practical implications, research limitations, and directions for future research.
Engineering an asymmetric rhodamine dye suitable for developing ratiometric fluorescent probe
Authors: Yang Feiyu , Lu Peng , Ren Tian‐Bing , Zhang Xiao‐Bing , Yuan Lin 
Published: March 2023

AbstractFluorescent probes based on rhodamine skeleton are extensively used in biological imaging. However, the construction of ratiometric fluorescent probes based on the rhodamine skeleton without introducing additional fluorophores is still challenging. Herein, we propose an effective method to construct a rhodamine‐based ratiometric fluorescent probe through the regulation of electron cloud density. A ratiometric fluorescent probe RDQF‐RB‐NTR was successfully constructed for the detection of nitroreductase (NTR). RDQF‐RB‐NTR exhibits good sensitivity, high selectivity, and ratiometric response to NTR. Cell imaging experiments showed that RDQF‐RB‐NTR can rapidly and accurately detect the fluctuation of NTR in cells and difference of NTR levels between normal cells and cancer cells. In addition, RDQF‐RB‐NTR was successfully applied to the imaging of NTR in liver tissue slices, and we found that the level of NTR was upregulated in liver cirrhosis.
On subsumption relationships in data flow testing
Authors: Chaim Marcos Lordello , Baral Kesina , Offutt Jeff , Neto Mario Concilio , Araujo Roberto Paulo Andrioli de 
Published: March 2023

SummaryData flow testing creates test requirements as definition‐use (DU) associations, where adefinitionis a program location that assigns a value to a variable and auseis a location where that value is accessed. Data flow testing is expensive, largely because of the number of test requirements. Luckily, many DU‐associations are redundant in the sense that if one test requirement (e.g. node, edge and DU‐association) is covered, other DU‐associations are guaranteed to also be covered. This relationship is calledsubsumption. Thus, testers can save resources by only covering DU‐associations that are not subsumed by other testing requirements. Although this has the potential to significantly decrease the cost of data flow testing, there are roadblocks to its application. Finding data flow subsumptions correctly and efficiently has been an elusive goal; the savings provided by data flow subsumptions and the cost to find them need to be assessed; and the fault detection ability of a reduced set of DU‐associations and the advantages of data flow testing over node and edge coverage need to be verified. This paper presents novel solutions to these problems. We present algorithms that correctly find data flow subsumptions and are asymptotically less costly than previous algorithms. We present empirical data that show that data flow subsumption is effective at reducing the number of DU‐associations to be tested and can be found at scale. Furthermore, we found that using reduced DU‐associations decreased the fault detection ability by less than 2%, and data flow testing adds testing value beyond node and edge coverage.
Toxicity interactions of azole fungicide mixtures on Chlorella pyrenoidosa
Authors: Huang Feng‐Ling , Liu Min , Qin Li‐Tang , Mo Ling‐Yun , Liang Yan‐Peng , Zeng Hong‐Hu , Deng Zhen‐Gui 
Published: March 2023

AbstractIt is acknowledged that azole fungicides may release into the environment and pose potential toxic risks. The combined toxicity interactions of azole fungicide mixtures, however, are still not fully understood. The combined toxicities and its toxic interactions of 225 binary mixtures and 126 multi‐component mixtures on Chlorella pyrenoidosa were performed in this study. The results demonstrated that the negative logarithm 50% effect concentration (pEC50) of 10 azole fungicides to Chlorella pyrenoidosa at 96 h ranged from 4.23 (triadimefon) to 7.22 (ketoconazole), while the pEC50 values of the 351 mixtures ranged from 3.91 to 7.44. The high toxicities were found for the mixtures containing epoxiconazole. According to the results of the model deviation ratio (MDR) calculated from the concentration addition (MDRCA), 243 out of 351 (69.23%) mixtures presented additive effect at the 10% effect, while the 23.08% and 7.69% of mixtures presented synergistic and antagonistic effects, respectively. At the 30% effect, 47.29%, 29.34%, and 23.36% of mixtures presented additive effects, synergism, and antagonism, respectively. At the 50% effect, 44.16%, 34.76%, and 21.08% of mixtures presented additive effects, synergism, and antagonism, respectively. Thus, the toxicity interactions at low concentration (10% effect) were dominated by additive effect (69.23%), whereas 55.84% of mixtures induced synergism and antagonism at high concentration (50% effect). Climbazole and imazalil were the most frequency of components presented in the additive mixtures. Epoxiconazole was the key component induced the synergistic effects, while clotrimazole was the key component in the antagonistic mixtures.
Sports analytics review: Artificial intelligence applications, emerging technologies, and algorithmic perspective
Authors: Ghosh Indrajeet , Ramasamy Ramamurthy Sreenivasan , Chakma Avijoy , Roy Nirmalya 
Published: March 2023

AbstractThe rapid and impromptu interest in the coupling of machine learning (ML) algorithms with wearable and contactless sensors aimed at tackling real‐world problems warrants a pedagogical study to understand all the aspects of this research direction. Considering this aspect, this survey aims to review the state‐of‐the‐art literature on ML algorithms, methodologies, and hypotheses adopted to solve the research problems and challenges in the domain of sports. First, we categorize this study into three main research fields: sensors, computer vision, and wireless and mobile‐based applications. Then, for each of these fields, we thoroughly analyze the systems that are deployable for real‐time sports analytics. Next, we meticulously discuss the learning algorithms (e.g., statistical learning, deep learning, reinforcement learning) that power those deployable systems while also comparing and contrasting the benefits of those learning methodologies. Finally, we highlight the possible future open‐research opportunities and emerging technologies that could contribute to the domain of sports analytics.This article is categorized under:
Technologies > Machine Learning
Technologies > Artificial Intelligence
Technologies > Internet of Things
Okay, you “Get it…” whiteness, masculinity, and the development of critical consciousness in leadership development
Authors: McLaughin Conor P. , Colquitt Keenan 
Published: March 2023

AbstractThis article will situate the development of critical consciousness within practices of leadership and as a conduit for building a commitment to justice. Authors will focus on how this can be developed in those who are situated in privileged positions in systems of power.
Interrogating the self en route to critical consciousness: Cultivating higher education leaders through a positionality‐centered, doctoral‐level course
Authors: Puente Mayra , Rogers Kirk D. , Crawford James , Matschiner Andrew 
Published: March 2023

AbstractThis article showcases the lessons we learned from developing and facilitating a doctoral‐level course on the topic and praxis of positionality in the field of education studies. We contend that positionality is integral to critical consciousness building and leadership development among doctoral students and other higher education leaders.
Quantum Phase Field
Authors: Steinbach Ingo , Salama Hesham 
Published: March 2023

AbstractIn this chapter a new paradigm for the understanding of the physical world is developed based on phase-field type non-linear wave solutions. Two 1-dimensional wave fronts, right- and left-moving are combined to define the doubloon, the basic element of mass and space. The interface energy of a standard phase field defines the mass of elementary particles. The non-zero values of the phase field, the core of the doubloon, defines space in an introverted view. The sum constraint of the multi-phase-field model defines a doubloon network which is closed in itself. The model can be applied to investigate scale formation in the universe.
Near-extremal charged black holes: greybody factors and evolution
Authors: Bai Yang , Korwar Mrunal 
Published: March 2023

Abstract
As a charged black hole reaches its extremal state via Hawking radiation, quantum effects become important for its thermodynamic properties when its temperature is below a mass gap scale. Using AdS2/CFT1 correspondence and solutions for the corresponding Schwarzian action, we calculate the black hole greybody factors including the quantum effects. In the low temperature limit, the greybody factors scale as T2s+3/2 with s the radiated field spin. Hence, the Hawking radiation of a near-extremal charged black hole (NEBH) is dominated by emitting scalar particles including the Higgs boson. Time evolution of an NEBH is also calculated and shows a stochastic feature. For an NEBH lighter than around 108 times the Planck mass, its temperature at the current universe is below the mass gap scale and is universally tens of GeV, which is important if one searches for primordial (hidden) charged black holes.
Poisson brackets for some Coulomb branches
Authors: Gledhill Kirsty , Hanany Amihay 
Published: March 2023

Abstract
We construct Poisson bracket relations between the operators which generate the chiral ring of the Coulomb branch of certain 3d$$ \mathcal{N} $$
N
= 4 quiver gauge theories. In the case where the Coulomb branch is a free space, ADE Klein singularity, or the minimal A2 nilpotent orbit, we explicitly compute the Poisson brackets between the generators using either inherited properties of the abstract Coulomb branch variety, or the expected charges of these operators under the global symmetry (known through use of the monopole formula). We also conjecture Poisson brackets for Higgs branches that originate from 6d theories with tensionless strings or 5d theories with massless instantons for which the HWG is known, based on representation theoretic and operator content constraints known from the study of their magnetic quiver.
Loop-by-loop differential equations for dual (elliptic) Feynman integrals
Authors: Giroux Mathieu , Pokraka Andrzej 
Published: March 2023

Abstract
We present a loop-by-loop method for computing the differential equations of Feynman integrals using the recently developed dual form formalism. We give explicit prescriptions for the loop-by-loop fibration of multi-loop dual forms. Then, we test our formalism on a simple, but non-trivial, example: the two-loop three-mass elliptic sunrise family of integrals. We obtain an ε-form differential equation within the correct function space in a sequence of relatively simple algebraic steps. In particular, none of these steps relies on the analysis of q-series. Then, we discuss interesting properties satisfied by our dual basis as well as its simple relation to the known ε-form basis of Feynman integrands. The underlying K3-geometry of the three-loop four-mass sunrise integral is also discussed. Finally, we speculate on how to construct a “good” loop-by-loop basis at three-loop.
Light-cone limits of large rectangular fishnets
Authors: Kostov I. 
Published: March 2023

Abstract
Basso-Dixon integrals evaluate rectangular fishnets — Feynman graphs with massless scalar propagators which form a m × n rectangular grid — which arise in certain one-trace four-point correlators in the ‘fishnet’ limit of $$ \mathcal{N} $$
N
= 4 SYM. Recently, Basso et al. explored the thermodynamical limit m → ∞ with fixed aspect ratio n/m of a rectangular fishnet and showed that in general the dependence on the coordinates of the four operators is erased, but it reappears in a scaling limit with two of the operators getting close in a controlled way. In this note I investigate the most general double scaling limit which describes the thermodynamics when one of two pairs of operators become nearly light-like. In this double scaling limit, the rectangular fishnet depends on both coordinate cross ratios. I show that all singular limits of the fishnet can be attained within the double scaling limit, including the null limit with the four points approaching the cusps of a null square. A direct evaluation of the fishnet in the null limit is presented any m and n.