bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neuroma morphology: A macroscopic classification system
Authors: Raasveld Floris V. , Weigel Daniel T. , Liu Wen‐Chih , Mayrhofer‐Schmid Maximilian , Gomez‐Eslava Barbara , Tereshenko Vlad , Hwang Charles D. , Wainger Brian J. , Renthal William , Fleming Mark , Valerio Ian L. , Eberlin Kyle R. 
Published: September 2024

AbstractIntroduction/AimsNeuromas come in different shapes and sizes; yet the correlation between neuroma morphology and symptomatology is unknown. Therefore, we aim to investigate macroscopic traits of excised human neuromas and assess the validity of a morphological classification system and its potential clinical implications.MethodsEnd‐neuroma specimens were collected from prospectively enrolled patients undergoing symptomatic neuroma surgery. Protocolized images of the specimens were obtained intraoperatively. Pain data (Numeric rating scale, 0–10) were prospectively collected during preoperative interview, patient demographic and comorbidity factors were collected from chart review. A morphological classification is proposed, and the inter‐rater reliability (IRR) was assessed. Distribution of neuroma morphology with patient factors, was described.ResultsForty‐five terminal neuroma specimens from 27 patients were included. Residual limb patients comprised 93% of the population, of which 2 were upper (8.0%) and 23 (92.0%) were lower extremity residual limb patients. The proposed morphological classification, consisting of three groups (bulbous, fusiform, atypical), demonstrated a strong IRR (Cohen's kappa = 0.8). Atypical neuromas demonstrated higher preoperative pain, compared with bulbous and fusiform. Atypical morphology was more prevalent in patients with diabetes and peripheral vascular disease.DiscussionA validated morphological classification of neuroma is introduced. These findings may assist surgeons and researchers with better understanding of symptomatic neuroma development and their clinical implications. The potential relationship of neuroma morphology with the vascular and metabolic microenvironment requires further investigation.
A Stress‐Driven Double‐Phase–Field Framework for Tensile Fracturing Processes in Transversely Isotropic Rocks
Authors: Yuan Weihong , Zhao Yang , Zhang Bingyin 
Published: September 2024

ABSTRACTWe present a double‐phase–field framework for tensile fracturing processes in transversely isotropic rocks. Two distinct phase‐field variables are introduced to represent smeared approximations of tensile fractures along the weak bedding planes and through the anisotropic rock matrix, respectively. Driving forces that control fracture propagation in the phase‐field framework are constructed as a stress‐based formula with a recently developed tensile failure criterion that distinguishes the two failure modes in transversely isotropic rocks. For numerical implementation, we adopt a staggered integration scheme and decouple the governing equations so that the displacement field and phase‐field variables can be updated in sequence for a given loading step. The finite element formulation of the proposed framework is introduced in detail in this paper and is implemented in an in‐house finite element code. The numerical implementation is then validated by reproducing the uniaxial tension test results of Lyons sandstone. After that, we conduct simulations on a pre‐notched square plate loaded in tension to demonstrate the features of the proposed framework. Finally, we conduct simulations of three‐point bending tests of Pengshui shale and show that the proposed model can reproduce the force–displacement curves and failure patterns of specimens with different bedding plane orientations observed in laboratory experiments.
Semi‐Analytical Solution for One‐Dimensional Nonlinear Consolidation of Multilayered Soil Considering Self‐Weight and Boundary Time Effect
Authors: Zong Mengfan , Zhang Jing , Wu Wenbing , Yu Ziye , Zhang Yi , Mei Guoxiong 
Published: September 2024

ABSTRACTThe self‐weight stress in multilayered soil varies with depth, and traditional consolidation research seldom takes into account the actual distribution of self‐weight stress, resulting in inaccurate calculations of soil consolidation and settlement. This paper presents a semi‐analytical solution for the one‐dimensional nonlinear consolidation of multilayered soil, considering self‐weight, time‐dependent loading, and boundary time effect. The validity of the proposed solution is confirmed through comparison with existing analytical solutions and finite difference solution. Based on the proposed semi‐analytical solution, this study investigates the influence of self‐weight, interface parameter, soil properties, and nonlinear parameters on the consolidation characteristics of multilayered soil. The results indicate that factoring in the true distribution of self‐weight leads to a faster dissipation rate of excess pore water pressure and larger settlement and settlement rate, compared to not considering self‐weight. Both boundary drainage performance and soil nonlinearity have an impact on consolidation. If the boundary drainage capacity is inadequate, the influence of soil nonlinearity on consolidation diminishes.
The effect of silane‐modified carbon black and nano‐silica, individually and in combination, on the performance of ethylene–propylene–diene monomer rubber
Authors: Jaberi Mofrad Farzaneh , Ahmadpour Ali , Ostad Movahed Saeed 
Published: September 2024

AbstractThis study assesses the effectiveness of a specially developed surface‐modified carbon black, both on its own and in combination with nano‐silica, as a hybrid filler for ethylene–propylene–diene monomer (EPDM) rubber compounds. The modification process, which included treatment with a silane coupling agent, resulted in enhanced curing characteristics. The ∆Torque values for compounds incorporating the modified carbon black exceeded those of other formulations by 25.85%. Scanning electron microscopy (SEM) analysis demonstrated improved filler dispersion and better compatibility between rubber and filler due to the surface modification. The silane‐modified carbon black showed considerable enhancements in mechanical properties, particularly in tear resistance, with increases in tensile and tear strength of 22.46% and 34.86%, respectively, following surface treatment. Dynamic mechanical analysis (DMA) indicated the influence of both surface modification and filler type, revealing that the combination of modified carbon black and nano‐silica achieved a reduction in rolling resistance of 20.41% and enhanced ice and wet grip performance by 7.95%. Additionally, modified carbon black displayed varying effects on the glass transition temperature. Thermal gravimetric analysis (TGA) confirmed that the thermal stability of the compounds was consistent, while solvent resistance improved with surface modification, as shown by swelling ratios. Thermodynamic analysis indicated that the surface modification of carbon black positively influences the elasticity and chain mobility of the rubber compounds studied. In conclusion, the careful selection and optimization of filler materials and their modifications are essential for customizing the properties of rubber compounds to satisfy specific performance criteria and applications.Highlights
Promising EPDM compounds were prepared with Silane‐Modified CB and Nano‐Silica.
Silane‐modified CB effectively improved the curing properties of the EPDM compound.
The ΔTorque and cross‐link density of modified CB/EPDM show the highest value.
Modified CB/Nano‐Silica/EPDM exhibited significant improvement in tear strength.
Modified CB/Nano‐silica/EPDM have lower rolling resistance and higher wet grip.
Synergistic effects of sisal/glass fiber hybridization and eggshell powder filler on the performance of eco‐friendly polymer composites
Authors: Hadlahalli chandrashekar Priya , Nagarajachari Upendra , Thyavihalli Girijappa Yashas Gowda , Byrapura Chandregowda Hemaraju , Kalappa Prashantha 
Published: September 2024

AbstractIn recent years, there has been a significant emphasis on the development of composite materials that are both high‐performing and environmentally friendly. Hybrid polymer composites that are reinforced by both sisal and glass fibers are introduced in this study. Investigation was conducted to evaluate the combined influence of hybrid reinforcements and Egg Shell Powder (ESP) on the mechanical properties of the composites. The hand layup technique was employed to create hybrid laminates by incorporating variable amounts of ESP (0–15 wt%) and employing various stacking sequences. Various mechanical testing was administered to the composites that had been prepared. The results indicated that the glass/sisal hybrid laminates exhibited superior mechanical properties in comparison to the non‐hybrid sisal laminates, which was attributed to the synergistic benefits of incorporating both sisal and glass fibers. The incorporation of Egg Shell Powder significantly improved the material's mechanical properties. The glass/sisal hybrid laminates with 15% ESP laminate demonstrated the maximum tensile strength (195.23 MPa), flexural strength (150.02 MPa), and ILSS (7.55 MPa). Scanning electron microscopy enabled a comprehensive analysis of the hybrid composites' interfacial adhesion and microstructure. This investigation verified that the ESP was effectively dispersed and had a substantial effect on the interface between the matrix and the fibers. The hybrid composites that are generated are environmentally friendly and exhibit extraordinary potential for a variety of applications, offering a sustainable and high‐performing alternative to conventional synthetic composites. These discoveries promote the utilization of bio‐based resources in the composites industry and advance the development of sustainable materials.Highlights
The glass/sisal hybrid laminates with 15% ESP laminate showed highest tensile strength of 195.23 MPa
Hybrid composites exhibited superior mechanical properties.
ESP addition significantly improved interfacial adhesion and strength
Water absorption decreased with increasing ESP content up to 15%
Development of Eco‐friendly composites suitable for automotive and aerospace applications
Magnetic elastomer composites with tunable magnetization behaviors for flexible magnetic transducers
Authors: Wang Yue , Wang Zihan , Liu Xiayu , Zhang Luodan , Li Qingxin , Abdallaha Duaa , Song Xiaoli , Zhang Lifeng , Sun Hui , Liu Junliang 
Published: September 2024

AbstractMagnetic elastomer composites are extending the field of soft robotics by integrating the flexibility of elastomers with the versatile performance of magnetic materials. In this work, a series of magnetic elastomers (BaCoxTixFe12–2xO19/PDMS) with tunable magnetic response have been successfully synthesized. In this composite, the magnetic component consists of Co‐Ti co‐doped barium hexaferrite (BaCoxTixFe12–2xO19, BCTF) nano powders, and the matrix is made of polydimethylsiloxane (PDMS). The coercivity (Hc) of BCTF can be reduced from 3950 Oe to 70 Oe, which bestow on the magnetic elastomer different magnetic response behavior. These magnetic elastomer composites obtained by blending have low Young's modulus, approximately 1.5 MPa. Furthermore, when applying the same external magnetic field, BaCo1.2Ti1.2Fe9.6O19/PDMS the magnetic deformation Angle can be as high as 60°. These magnetic elastomers exhibit different magnetic‐induced deformation owing to the adjustable permeability of the magnetic nanoparticles. This research significantly advances the design of applications with specific magnetic characteristics, such as sensors and transducers, thus opening new horizons for innovation in soft robotics and related fields.Highlights
All elastomer composite exhibit a low modulus of approximately 1.5 MPa.
These composites exhibit different magnetic response behaviors.
This research provides a solution for the innovation of transducers.
A perspective on the time‐dependent structure and properties of amorphous polymer
Authors: Juska Thomas 
Published: September 2024

AbstractA molecular mechanism of viscoelastic deformation is presented. Amorphous polymers are characterized as a heterogeneous network of nanoscale cells. A “cell” is a homogeneous region within the network. Each cell phase fluctuates between the glassy and elastomer states with a period τ. The values of τ vary from cell to cell over several orders of magnitude and are strong functions of temperature. Whether a given cell responds as glassy or elastomeric depends on the ratio between its period of phase fluctuation (τj) and the period of observation (1/f), where f is the test frequency. We express this ratio, the Deborah number, as (τj × f), and present equations for modulus and energy loss as functions of (τj × f). The condition (τj × f) = 1 defines the glass transition of a cell, which arises cell‐by‐cell over a range of temperature, or over a range of time under stress. Viscoelastic deformation occurs if a cell changes phase while under stress. Energy stored during glassy state deformation is lost if the cell fluctuates to the elastomeric state. Stress is out of phase with strain, because strain rate controls the level of stress in glassy cells between phase fluctuations.Highlights
A molecular mechanism of viscoelasticity is presented that does not involve viscous flow.
Amorphous polymer is a heterogeneous network of nanoscale cells.
Cells fluctuate in phase between glassy and elastomeric states due to their size.
Time‐dependent properties are caused by time‐dependent structure.
Energy is lost when glass phase cells under stress fluctuate to the elastomer phase.
Interpretable machine learning‐assisted strategy for predicting the mechanical properties of hydroxyl‐terminated polyether binders
Authors: Han Ruohan , Fu Xiaolong , Guo Hongwei 
Published: September 2024

AbstractHydroxy‐terminated polyether (HTPE) binders are attractive in the weapons materials and equipment industry for their insensitive properties and flexibility. We propose an interpretable machine learning‐assisted modeling strategy to predict the mechanical properties of HTPE binders for the first time using machine learning methods. In this strategy, the effects of formulation composition, multiscale characterization, preparation conditions, and mechanical experimental conditions are evaluated on the mechanical properties of HTPE binders. As part of the study, three different techniques were used to predict material properties: bag‐based methods (Extra Random Tree, Random Forest), boosting‐based methods (XGBoost, CatBoost, and Gradient Boosted Regression), and Artificial Neural Networks (MLPs), all of which were highly accurate in predicting material properties. Based on this, SHAP analysis is used to explain how these influencing factors influence the material properties. An efficient method for examining HTPE binders formulations is provided by this strategy.
N‐heterocyclic carbene copper complexes catalyze the C1 polymerization of substituted diazomethanes
Authors: Kang Songsu , Lu Sherilyn J. , Cho Minyeong , Cho Youngsang , Sultane Prakash R. , Bielawski Christopher W. 
Published: September 2024

AbstractThe C1 polymerization of substituted diazomethanes, including diazoethane and 2,2,2‐trifluoromethyl diazomethane, are reported. N‐heterocyclic carbene copper complexes were employed as catalysts for the polymerization reactions and afforded the corresponding persubstituted polymers containing methyl or trifluoromethyl units along the backbones of the polymer products. The polymers were characterized using size exclusion chromatography, a variety of spectroscopic and thermal techniques, and contact angle measurements. Polymers prepared using the C1 polymerization methodology described herein are more hydrophobic than related polymers that were obtained using a standard C2 polymerization method and the fluorinated polymers were determined to be more hydrophobic than their hydrogenated analogues. The relationship between fluorine content and wettability of persubstituted polymers was quantified.
A DFT Analysis of Structural and Electronic Features of [Mo(CO)6‐n(SiX)n] (n=1, 2 and 3, and X=O, S, Se and Te) Complexes
Authors: Sivan Akhil K. , Thomas Jisha Mary , Christopher Jeyakumar Thayalaraj 
Published: September 2024

AbstractDFT was used to analyze the molecular and electronic structures of the mono, di‐ and tri‐substituted isomers of [Mo(CO)6‐n(SiX)n] (where, X=O, S, Se, Te) and they were compared to the Mo(CO)6 complex. The total energy of all the complexes indicates that the trans isomer is slightly more stable than the cis isomer, but the stability of the fac and mer isomers is comparable. The HOMO‐LUMO energy gap of the complexes was determined and it indicated that the energy gap of the newly designed complexes is smaller than that of the parent complex Mo(CO)6 (1), ranging from 3.45–5.08 eV for the complexes 2–21. The FMO analysis of 2–21 showed that they are more reactive than complex 1. Insights on the bonding nature of these complexes are provided by the NPA, NBO, and EDA studies. The bond contribution from the Si atom in the Mo−Si bond is greater than that from the Mo atom, based on the NBO study. However, the C atom contributes more to the Mo−CO bond as well. Atomic charges on the Mo atom have a higher negative charge and the Si atom shows a positive charge in all the complexes. This study provides valuable information about the isolobal and isoelectronic nature of different substitutions of Si−X bonds at different positions instead of CO molecule in [Mo(CO)6].
Synthetic and Natural Xanthones as Antibacterial Agents—Review
Authors: Prathiksha Joyline , Murali Thokur Sreepathy , Nayak Roopa 
Published: September 2024

AbstractXanthones, a class of polyketide derivatives characterized by a dibenzo‐γ‐pyrone core structure, are aromatic oxygenated cyclic compounds extensively found in nature. They are known for their diverse biological activities, including anti‐Alzheimer, antitumor, and antidiabetic properties, which have spurred extensive research into their therapeutic potential. One of the most significant challenges facing mankind currently is the development of antibiotic resistance in pathogenic microbes making microbial infections increasingly difficult to treat. The formation of biofilms enhances bacterial resistance to antibiotics, immune defenses, and environmental stresses. In this review, we have categorized xanthones, both of biological origin and synthesized, based on their structure and summarized the recent studies on their ability to inhibit Gram‐positive and ‐negative bacteria as well as the various underlying mechanisms that contribute to their microbicidal activity. These mechanisms include inhibition of virulence factors and biofilm formation, interaction with cell membranes, and interference with cell wall synthesis and DNA replication. In addition, we have listed the various methods involved in biofilm inhibition and the structure‐activity relationship of various xanthone molecules, highlighting how xanthone derivatives exhibit increased antibacterial activity. With the growing concern of antibiotic resistance, exploring natural compounds like xanthones to study their interaction with bacterial cells is crucial for identifying new treatment options.
Role of innovative behaviour as a missing linchpin in artificial intelligence adoption to enhancing job security and job performance
Authors: Ghorbanzadeh Davood , Espinosa‐Cristia Juan Felipe , Abdelrasheed Nasser Said Gomaa , Mostafa Sanaa Soliman Saeed , Askar Shavan , Almufti Saman M. 
Published: September 2024

AbstractBuilding upon the sociotechnical system theory, the present study contributes by examining the relationship between artificial intelligence (AI) adoption, employees' innovative behaviour on employee performance and job security (JS). The primary data is collected from 340 employees from firms located in the industrial hub of a developing economy using a simple random technique, and data is analysed using Smart‐PLS 3 from the manufacturing sector. The study evidences that employees' adoption and utilization of AI technologies positively influence their innovative behaviour, job performance (JP), and security. Moreover, the study finds a mediating role of innovative behaviour to connect the dots. Organizations can prioritize using AI‐driven training programmes so employees can use AI tools efficiently. Study findings also encourage employees to engage in innovative work behaviours like investigating novel concepts and experimenting with AI technologies to improve JP. This study invalidates that AI will replace employees at the workplace, as we can safely conclude that AI adoption enhances JP and JS.
Multidimensional Approach for the Assessment of Environmental Pollution and Health Risk Associated With V, Ni, Cr, Cu, and Zn in the Recent Sediments of Kabini Interstate River, Southeastern Western Ghats, India
Authors: Gupta Himanshi , Krishnakumar Appukuttanpillai , Krishnan Krishnan Anoop 
Published: September 2024

ABSTRACTThe present work intends to study the variation of heavy metals (HMs) to scrutinize the scenario of pollution index and associated environmental risk, as well as source weathering conditions along the Kabini River. The decreasing order of concentration of HMs along the basin is Cr > V > Ni > Zn > Cu. The paper spotlights the pollution grade in sediments, assessed by the geo‐accumulation index (Igeo), contamination factor (Cf), pollution load index (PLI), and enrichment factor (Ef). The assessment of ecological risk is studied as potential ecological risk index (RI), toxic risk index (TRI), and modified hazard quotients (mHQs). As per the Igeo and Cf, V and Cr concentrations are higher in the region. Further, PLI confirmed that 35% of samples exceeded the limits of sediment quality guidelines. The RI and TRI values show that a higher ecological risk is associated with Ni, V, and Cr and with Cu and Cr, respectively. Additionally, the 23% Ni and 20% Cu samples from mHQ indicate the severity of pollution in the aquatic environment. The inputs from anthropogenic and natural sources change the concentration of these HMs along the region. Moreover, the study of CIA and plagioclase index of alteration plots confirmed the low to intense weathering conditions. The statistical approach shows the linkage between Cr–V, Cu–Zn, and principal component analysis–derived prominent sources: industrial and agricultural runoff, as well as higher silicate weathering, contribute to the HMs concentration in the region. The Kabini River passes through different climatic and land‐use domains of Kerala and Karnataka, which eventually regulate the HM concentration and geo‐environmental processes in the region and affect the health risk to humans in one or the other way. The reference data generated from the present work are absolutely new and would be significant in the future for deriving sustainable development plans for the well‐being of human beings and precious natural resources.
Extreme low‐level wind jets in Storm Ciarán
Authors: Gray Suzanne L. , Volonté Ambrogio 
Published: September 2024

AbstractSatellite imagery of Storm Ciarán as it approached the UK early on 1 November 2023 showed characteristic banding that fuelled media reports that Ciarán could contain a sting jet, with enhanced likelihood of damaging surface winds and gusts. Here operational numerical weather prediction model output is used with trajectory analysis to reveal the existence of at least two wind speed maxima attributed to sting jets. The small‐scale sting jets are located beneath, and likely affected by, far broader overrunning strong wind regions attributed to a deeply descending dry intrusion, thus highlighting the likely interaction of these airstreams at low levels.