bluuebunny/crossref_metadata_2025_split huggingface dataset:
Crushing behavior optimization of octagonal lattice‐structured thin‐walled 3D printed carbon fiber reinforced PETG (CF/PETG) composite tubes under axial loading
Authors: Sivakumar Narain Kumar , Palaniyappan Sabarinathan , Vishal Kumar , Alibrahim Khuloud A. , Alodhayb Abdullah , A Madhan Kumar 
Published: October 2023

AbstractThin‐walled structures with good energy absorption capability can significantly use as energy absorbers in passive vehicle safety systems. The present study deals with designing and developing thin‐walled carbon fiber (CF) reinforced PETG (polyethylene terephthalate glycol) composite tubes with octagonal corrugated lattice structures on the lateral surfaces. The FFF (fused filament fabrication) factors such as layer height, nozzle temperature, printing speed, line width, and infill density were optimized. The experiment outcomes such as compressive strength and dimensional length error, are measured for the respective octagonal corrugated lattice structure incorporated in 3D printed CF/PETG composite tubes. The results proclaimed that, the optimum factors for improved compressive strength in the octagonal corrugated lattice‐structured CF/PETG composite will be 0.1 mm layer height, 220°C nozzle temperature, 20 mm/sec printing speed, 0.1 mm line width and 100% infill density. Furthermore, the R‐square value for the compressive strength and dimensional length error is within an acceptable limit of 91.25% and 93.31%. So, the developed mathematical models are in good form for practical acceptance. The optimized condition3D printed samples exhibit better compressive strength and lower dimensional length deviation, which is essential for considering it in the safety protection application in automotive components.Highlights• 3D printed octagonal shaped lattice structured PETG/CF composite tube.• Process parameters were optimized in terms of compressive strength.• Layer height has contributed a major impact on the compressive strength response.
Global profiling of protein lactylation in Caenorhabditis elegans
Authors: Ding Tao , Yang Ye‐Hong , Wang Qiao‐Chu , Wu Yue , Han Rong , Zhang Xu‐Tong , Kong Jie , Yang Jun‐Tao , Liu Jiang‐Feng 
Published: October 2023

AbstractLactylation, as a novel posttranslational modification, is essential for studying the functions and regulation of proteins in physiological and pathological processes, as well as for gaining in‐depth knowledge on the occurrence and development of many diseases, including tumors. However, few studies have examined the protein lactylation of one whole organism. Thus, we studied the lactylation of global proteins in Caenorhabditis elegans to obtain an in vivo lactylome. Using an MS‐based platform, we identified 1836 Class I (localization probabilities > 0.75) lactylated sites in 487 proteins. Bioinformatics analysis showed that lactylated proteins were mainly located in the cytoplasm and involved in the tricarboxylic acid cycle (TCA cycle) and other metabolic pathways. Then, we evaluated the conservation of lactylation in different organisms. In total, 41 C. elegans proteins were lactylated and homologous to lactylated proteins in humans and rats. Moreover, lactylation on H4K80 was conserved in three species. An additional 238 lactylated proteins were identified in C. elegans for the first time. This study establishes the first lactylome database in C. elegans and provides a basis for studying the role of lactylation.
Enhancement of metal‐binding affinity for Cu+/Cu2+ complexes by hydrogen bond network
Authors: Motahari Ahmad , Fattahi Alireza 
Published: October 2023

AbstractUsing density functional theory, polyols were used as model ligands for Cu+/Cu2+ complexes to study the role of the hydrogen bond network on the metal binding affinity. In addition to the gas phase studies, the calculations were performed in 1‐decanol and DMSO solvents. The Cu2+ complexes were the most stable complexes with the highest bond dissociation energies (BDE). The presence of three H‐bonds in the first shell increased BDE values up to 17.99 and 57.07 kcal/mol for Cu+ and Cu2+ complexes in the gas phase, respectively, whereas the presence of another three H‐bonds in the second shell increased BDE values up to 7.27 and 24.35 kcal/mol for Cu+ and Cu2+ complexes in the gas phase, respectively. Therefore, this H‐bond network caused, for example, a more stable Cu+ complex with a formation constant of 1.4 × 1017 times. The natural bond orbital (NBO), atoms in molecules (AIM), and reduced density gradient (RDG) analyses showed that the intramolecular hydrogen bond network led to the enhancement of metal‐binding affinity.
Maturity model approach for building effective process safety management systems
Authors: Kunt Tekin , Breen Madonna , Gökçe Seçkin , Munsil Mike 
Published: October 2023

AbstractUsually, a gap analysis is conducted to address challenges encountered when building a process safety management (PSM) system from scratch, or for improving an already existing PSM program. Business maturity models, on the other hand, are useful management frameworks used to gauge the maturity of an organization in various disciplines or functions. The purpose of this paper is to introduce an adaptation of business maturity models to the PSM area.
Comparing the antibacterial activity of chitin nanocrystals with chitin: exploring the feasibility of chitin nanocrystals as novel pesticide nanocarriers in agriculture
Authors: Xiang Shunyu , Zhang Xiaofeng , Cao Zhe , Peng Shiqi , Xu Jingyun , Huang Qianqiao , Huang Jin , Xu Chen , Sun Xianchao 
Published: October 2023

AbstractBACKGROUNDIn recent years, nanomaterials‐based pesticide carriers have garnered significant attention and sparked extensive research. However, most studies have primarily focused on investigating the impact of physical properties of nanomaterials, such as size and modifiable sites, on drug delivery efficiency of nano‐pesticides. The limited exploration of biologically active nanomaterials poses a significant obstacle to the advancement and widespread adoption of nano‐pesticides. In this study, we prepared chitin nanocrystals (ChNC) based on acid hydrolysis and systematically investigated the differences between nano‐ and normal chitin against plant bacteria (Pseudomonas syringae pv. tabaci). The primary objective was to seek out nanocarriers with heightened biological activity for the synthesis of nano‐pesticides.RESULTSZeta potential analysis, Fourier Transform infrared spectrometry (FTIR), X‐Ray diffraction (XRD), Atomic force microscopy (AFM) and Transmission electron microscopy (TEM) identified the successful synthesis of ChNC. ChNC showcased remarkable bactericidal activity at comparable concentrations, surpassing that of chitin, particularly in its ability to inhibit bacterial biofilm formation. Furthermore, ChNC displayed heightened effectiveness in disrupting bacterial cell membranes, resulting in the leakage of bacterial cell contents, structural DNA damage, and impairment of DNA replication. Lastly, potting experiments revealed that ChNC is notably more effective in inhibiting the spread and propagation of bacteria on plant leaves.CONCLUSIONChNC exhibited higher antibacterial activity compared to chitin, enabling efficient control of plant bacterial diseases through enhanced interaction with bacteria. These findings offer compelling evidence of ChNC's superior bacterial inhibition capabilities, underscoring its potential as a promising nanocarrier for nano‐pesticide research. © 2023 Society of Chemical Industry.
Praxis crisis and the trouble with science teacher education for emergent bilingual learners
Authors: Tolbert Sara , Spurgin Caroline T. , Ash Doris B. 
Published: October 2023

AbstractIn this study, we explore how preservice secondary science teachers articulated their agency and structural awareness within racist–nativist policy and schooling environments that limit emergent bilingual students' opportunities to learn science. Our praxis‐oriented analysis led us to characterize novice teacher participants' discursive positionings within this structure–agency dialectic—that is, what it means to teach science well with emergent bilingual learners in the context of structural exclusions—as deficit, distancing, or discerning. We then discuss how these preservice teacher positionings were a function of tension management for working within the structure–agency dialectic. In our discussion, we refer to this phenomenon aspraxis crisis, that is, the disjuncture between theory and practice that occurs as teachers negotiate the real and perceived constraints of their work. We consider how the concept of praxis crisis that emerged from our work can be a critical dialogic tool for transformative learning in science teacher education research and practice, and how a praxis‐oriented methodological approach can support more expansive and nuanced understandings of teacher learning.
Root causes of radicalization: the terror‐contagion hypothesis
Authors: Clancy Timothy , Addison Bland , Pavlov Oleg , Saeed Khalid 
Published: October 2023

AbstractWhat are the root causes of mass violence terrorism? Examining this question led to a novel hypothesis that violent radicalization leading to terrorism operates as a system of social contagion. A terror contagion exploits existing grievances and moral outrage well suited for radicalizing within a high‐risk population. After a terrorist incident, media broadcasts of cultural scripts convey both a template violent ideology and a template method for mass violence. Radicalization can result when high‐risk people receive these cultural scripts sharing self‐similarity and notoriety bias to the perpetrator and their template ideology of grievance and outrage. Following the template method results in subsequent completed terror incidents creating their own media broadcasts, perpetuating the contagion. In this article, we share our methods, findings, and discuss the implications of a terror‐contagion hypothesis. We describe experiments and testable predictions to build confidence in the terror‐contagion hypothesis and our progress in them. © 2023 System Dynamics Society.
Matrix Nonlinear Viscoelasticity Regulates Skeletal Myogenesis through MRTF Nuclear Localization and Nuclear Mechanotransduction
Authors: Shi Nianyuan , Wang Jing , Tang Shaoxin , Zhang Hui , Wei Zhao , Li Ang , Ma Yufei , Xu Feng 
Published: October 2023

AbstractMechanically sensitive tissues (e.g., skeletal muscles) greatly need mechanical stimuli during the development and maturation. The extracellular matrix (ECM) mediates these signals through nonlinear viscoelasticity of collagen networks that are predominant components of the ECM. However, the interactions between cells and ECM form a feedback loop, and it has not yet been possible to determine the degree to which, if any, of the features of matrix nonlinear viscoelasticity affect skeletal muscle development and regeneration. In this study, a nonlinear viscoelastic feature (i.e., strain‐enhanced stress relaxation (SESR)) in normal skeletal muscles is observed, which however is almost absent in diseased muscles from Duchenne muscular dystrophy mice. It is recapitulated such SESR feature in vitro and separated the effects of mechanical strain and ECM viscoelasticity on myoblast response by developing a collagen‐based hydrogel platform. Both strain and stress relaxation induce myogenic differentiation and myotube formation by C2C12 myoblasts, and myogenesis is more promoted by applying SESR. This promotion can be explained by the effects of SESR on actin polymerization‐mediated myocardin related transcription factor (MRTF) nuclear localization and nuclear mechanotransduction. This study represents the first attempt to investigate the SESR phenomenon in skeletal muscles and reveal underlying mechanobiology, which will provide new opportunities for the tissue injury treatments.
A secure framework for IoT‐based healthcare using blockchain and IPFS
Authors: Rani Deepa , Kumar Rajeev , Chauhan Naveen 
Published: October 2023

AbstractSmart healthcare, also known as IoT (Internet of Things) based healthcare, utilizes IoT technology to enhance the healthcare industry. The use of IoT‐enabled medical equipment enables remote monitoring of patients, allowing for in‐home care and alerting healthcare providers of any changes. This can lead to improved patient outcomes and better disease management. However, it is important to implement robust security measures to protect patient data when using IoT in healthcare. One potential solution is to use blockchain technology to secure data storage and sharing with medical providers. Blockchain's decentralized structure and cryptographic techniques make it difficult for hackers to access or tamper with patient information. Additionally, IPFS (InterPlanetary file system) can be used for efficient data storage and sharing with authorized medical professionals, while smart contract functionality can automate the process of granting and revoking access to patient data. This article proposes a blockchain‐based secure remote patient monitoring system, specifically for chronic disease patients. The system utilizes distributed blockchain for data security, IPFS for data storage and sharing, and DApp for data collection and connection to the blockchain, along with encryption for added security. The proposed approach is compared to existing solutions and found to be a superior option for IoT‐based healthcare.
Functional time series forecasting: Functional singular spectrum analysis approaches
Authors: Trinka Jordan , Haghbin Hossein , Lin Shang Han , Maadooliat Mehdi 
Published: October 2023

AbstractWe introduce two novel nonparametric forecasting methods designed for functional time series (FTS), namely, functional singular spectrum analysis (FSSA) recurrent and vector forecasting. Our algorithms rely on extracted signals obtained from the FSSA method and innovative recurrence relations to make predictions. These techniques are model‐free, capable of predicting nonstationary FTS and utilize a computational approach for parameter selection. We also employ a bootstrap algorithm to assess the goodness‐of‐prediction. Through comprehensive evaluations on both simulated and real‐world climate data, we showcase the effectiveness of our techniques compared to various parametric and nonparametric approaches for forecasting nonstationary stochastic processes. Furthermore, we have implemented these methods in the Rfssa R package and developed a shiny web application for interactive exploration of the results.
Early age dynamic mechanical properties of basalt fiber reinforced early strength concrete
Authors: Wang Zhihang , Bai Erlei , Liu Chaojia , Qin Lijun , Lv Yan 
Published: October 2023

AbstractThe dynamic compression test was carried out on basalt fiber reinforced early strength concrete (BFRESC) with ages of 4–24 h by the split Hopkinson pressure bar (SHPB) test system. The effects of curing age and basalt fiber content on dynamic mechanical properties of ESC was analyzed. The result shows that the dynamic compressive strength and specific energy absorption of BFRESC at early ages increase continuously with the increase of fiber content. The dynamic compressive strength of concrete at the early ages increases exponentially with the strain rate. With the increase of curing age, the strain rate sensitivity of dynamic compressive strength of concrete increases gradually, and the strain rate sensitivity of dynamic compressive strength of BFRESC with fiber content of 0.1% is the strongest. The specific energy absorption of concrete at early ages increases linearly with the strain rate. With the increase of curing age, the strain rate sensitivity of specific energy absorption of concrete increases gradually, and basalt fiber can enhance the strain rate sensitivity of specific energy absorption of concrete. Based on the comparison with the formula for dynamic increase factor (DIF) calculation provided by Comite Euro‐International du Beton (CEB), etc., a model of DIF based on the increase of curing age is proposed.
Autoethnography for language teacher education programs: Connecting identities, ideologies, and experiences to curricular design practices
Authors: Kessler Matt 
Published: October 2023

AbstractAutoethnography, a qualitative research methodology that investigates aspects of individuals' identities, ideologies, and emotions, has recently gained traction in applied linguistics and second language (L2) scholarship. However, research is needed that investigates the use of autoethnography in preservice teacher education programs, along with exploring the connections between individuals' autoethnographies and actual pedagogical practices. The current study explores such issues by implementing a critical autoethnographic narrative assignment in a master's TESOL course for teacher candidates (TCs). Eight TCs completed two installments of a critical autoethnographic narrative, reflecting on their prior L2 learning and teaching/tutoring experiences. After completing various course assignments (e.g., textbook review, lesson plans), TCs then produced a final multimodal reflection, examining how their experiences influenced their pedagogies. TCs' narratives and reflections were thematically analyzed to examine 1) shared identities, ideologies, and challenges faced, and 2) explicit connections TCs made between their experiences and pedagogies. The findings of this study point to multiple shared ideologies and challenges among the TCs. Some preservice teachers were also able to link aspects of their identities and ideologies to specific curricular design practices. Implications are discussed for L2 teacher educators in terms of leveraging autoethnography for fostering reflective practices.
Sustainability Transition and 6G Mobile Communications
Authors: Matinmikko-Blue Marja , Arslan Ahmad 
Published: October 2023

AbstractThis chapter aims to academically highlight the link between 6G mobile communications and the transition to sustainability. Using both theoretical arguments and practical examples, the current chapter applies a multi-level perspective (MLP) to the sustainability transition to highlight the specificities of niches, socio-technical regimes, and exogenous socio-technical landscapes of 6G technology in relation to the sustainability transition. Moreover, the current chapter is one of the rare studies that focuses on the larger picture in the 6G and sustainability debate by highlighting specific UN SDGs which can be achieved by the sustainability transition and the role of both endogenous and exogenous factors using an MLP lens. Finally, this chapter offers specific theoretical, practical, and policy implications.
Benefiting from Innovation in Future 6G
Authors: Hurmelinna-Laukkanen Pia , Yrjölä Seppo 
Published: October 2023

AbstractThis chapter takes a wider perspective on profiting from innovation and discusses firm, ecosystem, industry, and policy-level aspects relevant for developing 5G/6G. To date, mobile communication networks have been seen as enabling technologies, the innovations potential of which can be characterized by looking at technology complementarity, standardization, and intellectual property issues. With 6G, especially in combination with artificial intelligence, the mobile network will gain features of a general-purpose technology platform with specificities regarding the appropriability of value. This chapter will discuss the potential value appropriability and conditions in the context of 6G, as well as the instruments, processes, and outcomes of value appropriation in 6G, reflecting those against earlier developments. The chapter concludes with implications for innovation policy, regulatory authorities, firms, and entrepreneurs.
Hidden symmetry in the double copy
Authors: Ball Adam , Bencke Anna , Chen Yaxi , Volovich Anastasia 
Published: October 2023

Abstract
We show that the Killing tensor of the Kerr spacetime has an analogue in the $$ \sqrt{\textrm{Kerr}} $$

Kerr

gauge theory solution related to it by the classical double copy. This hidden symmetry of $$ \sqrt{\textrm{Kerr}} $$

Kerr

leads to an additional constant of motion for color-charged point particles moving in it, implying integrability of the equation of motion. These are the gauge theory counterparts to the Carter constant and the integrability of the geodesic equation in a Kerr background.
$$ \mathcal{A} $$-theory — A brane world-volume theory with manifest U-duality
Authors: Hatsuda Machiko , Hulík Ondřej , Linch William D. , Siegel Warren D. , Wang Di , Wang Yu-Ping 
Published: October 2023

Abstract
In this paper, the $$ \mathcal{A} $$
A
-theory, an extension of F-theory, is described as a fully U-duality covariant brane theory. This theory has some distinguishing features not known from world-sheet models. In particular, seen as a sigma model, both world-volume and target space coordinates are specific representations of the same group (the U-duality group). The U-duality group in question is an exceptional group (a split form of the Ed series). The structure of this group allows it to encompass both the T-duality group of string theory as well as the general linear symmetry group of $$ \mathcal{M} $$
M
-theory. $$ \mathcal{A} $$
A
-theory is defined by the current algebras in Hamiltonian formalism, or by world-volume actions in Lagrangian formalism. The spacetime coordinates are selfdual gauge fields on the world-volume, requiring the Gauß law constraints tying the world-volume to spacetime. Solving the Gauß law constraints/the Virasoro constraints gives the world-volume/spacetime sectioning from $$ \mathcal{A} $$
A
-theory to $$ \mathcal{T} $$
T
-theory/$$ \mathcal{M} $$
M
-theory respectively. The $$ \mathcal{A} $$
A
-theory Lagrangian admits extended symmetry which has not been observed previously in the literature, where the background fields include both the spacetime and the world-volume gravitational fields. We also constructed the four-point amplitude of $$ \mathcal{A} $$
A
-theory in the low energy limit. The amplitude is written in a way that the U-duality symmetry is manifest, but after solving the section condition, it reduces to the usual four-graviton amplitude.In the previous papers, we have referred to this model as F-theory, however, F-theory initiated by Vafa is now a big branch of string theory as the study of elliptic fibrations, so we refer to these constructions as generalized models of theory for all dimensions with all duality symmetries as $$ \mathcal{A} $$
A
-theory.
A new approach to color-coherent parton evolution
Authors: Herren Florian , Höche Stefan , Krauss Frank , Reichelt Daniel , Schönherr Marek 
Published: October 2023

Abstract
We present a simple parton-shower model that replaces the explicit angular ordering of the coherent branching formalism with a differentially accurate simulation of soft-gluon radiation by means of a non-trivial dependence of the splitting functions on azimuthal angles. We introduce a global kinematics mapping and provide an analytic proof that it satisfies the criteria for next-to leading logarithmic accuracy. In the new algorithm, initial and final state evolution are treated on the same footing. We provide an implementation for final-state evolution in the numerical code Alaric and present a first comparison to experimental data.