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Agile meetings are an essential part of modern software development, but they often face challenges such as lack of focus, communication problems, technological difficulties, and the like. Previous research has often addressed individual issues of agile meetings but has not provided sufficiently integrated or practical models to comprehensively address these challenges. This research fills this gap, developing a theoretical model that not only identifies key issues but systematically links them to provide a deeper understanding of their impact on meeting effectiveness.In this paper, we present a theoretical model that depicts intra-team problems in agile meetings developed through a systematic literature review (SLR). After initial development, the model was validated and improved through the qualitative analysis of semi-structured interviews with IT experts. This research aimed to confirm the coverage and relevance of the content of the preliminary model, as well as to identify the need for modification. The results of the interviews suggest that the presented model is adequate but that there is a need for potential improvement. IT experts agreed with the items in the model, and some of them suggested improvements. The model is promising because it illustrates the key issues that influence the effectiveness of agile meetings in a promising way. IT experts agreed on the items in the model, and some of them suggested improving the model. [ABSTRACT FROM AUTHOR]

In this paper, a new type of bamboo scrimber column embedded with steel bars (rebars) was proposed, and the compression performance was improved by pre-embedding rebars during the preparation of the columns. The effects of the slenderness ratio and the reinforcement ratio on the axial compression performance of reinforced bamboo scrimber columns were studied by axial compression tests on 28 specimens. The results showed that the increase in the slenderness ratio had a significant negative effect on the axial compression performance of the columns. When the slenderness ratio increased from 19.63 to 51.96, the failure mode changed from strength failure to buckling failure, and the maximum bearing capacity decreased by 43.03%. The axial compression performance of the reinforced bamboo scrimber columns did not significantly improve at a slenderness ratio of 19.63, but the opposite was true at slenderness ratios of 36.95 and 51.96. When the reinforcement ratio increased from 0% to 4.52%, the bearing capacity of those with a slenderness ratio of 51.96 increased by up to 16.99%, and the stiffness and ductility were also improved. Finally, based on existing specifications, two modification parameters, the overall elastic modulus Ec and the combined strength fcc, were introduced to establish a calculation method for the bearing capacity of the reinforced bamboo scrimber columns. The calculation results were compared with the test results, and the results showed that the proposed calculation models can more accurately predict the bearing capacity. [ABSTRACT FROM AUTHOR]

One agenda of science instruction in primary schools is to develop learners’ scientific reasoning abilities and to equip them with the necessary twenty-first-century skills. Few studies have been conducted to develop measurement tools that aspire to assess primary school learners’ scientific reasoning. Most of these studies lack a theoretical model backing the development of these assessment tools. This paper introduces the model for measuring scientific reasoning (MMSR) as a theoretical model for guiding the development of assessment tools in the context of measuring upper primary school learners’ scientific reasoning. We first conceptualise scientific reasoning using a review of the literature and then present evidence to justify and validate this model for use in measuring primary school learners’ scientific reasoning abilities. Furthermore, using research in history and philosophy of science and science education, the MMSR model supports the development of assessment tools measuring learners’ patterns of scientific reasoning and also considering the nature of science across different contextual settings. [ABSTRACT FROM AUTHOR]

To ensure only one train operates in each ventilation section within an extra-long tunnel, a ventilation shaft was typically installed to divide the entire tunnel into multiple sections. Given the crucial role of piston wind in the metro tunnel environment and ventilation, a deeper understanding of train-induced unsteady airflow in a metro tunnel with a ventilation shaft is desirable. This study uses the unsteady flow theory of the Bernoulli equation to mathematically model piston wind in metro tunnels both with and without ventilation shafts. The influence of various shaft parameters on piston wind development is systematically analyzed. The results indicate that the shaft significantly impacts the piston wind. The maximum piston wind speed and ventilation rate in tunnels with ventilation shafts surpass those in tunnels without them. Moreover, shaft location and the cross-sectional area notably affect the maximum piston wind speed, ventilation rate, and airflow in the shaft, whereas shaft height has no significant effect. It is found that a ventilation shaft with a larger cross-sectional area positioned in the middle of the tunnel enhances the performance of piston ventilation. [ABSTRACT FROM AUTHOR]

The use of expanding-splitting circular tubes was proposed to improve crashworthiness and overcome their deficiencies in terms of low energy absorption and poor stroke efficiency in a single deformation mode. Quasi-static experiments and finite element simulations were conducted to study the force–displacement response of circular tubes under combined deformation modes. A theoretical model of the circular tube during expanding-splitting deformation was established to reveal the coupled expanding-splitting deformation and energy-absorbing mechanism of the circular tube. Furthermore, the factors influencing key parameters were analyzed using the finite element model. The results showed that the behavior changed smoothly from splitting deformation to curling deformation when adding preformed notches to the circular tube, and the final platform force of the circular tube decreased when increasing the transitional radius. Compared with the traditional expansive structure, the combined energy absorber offers better energy absorption with a 78% increase in platform force. [ABSTRACT FROM AUTHOR]

Steel tube–reinforced concrete (STRC) columns are composite members consisting of an inner concrete-filled steel tube (ICFST) component and an outer reinforced concrete (ORC) component. These columns are commonly used in the bottom columns of high-rise buildings and bridge piers to withstand significant axial loads. However, the stress state of the components in a STRC composite column differs from that of a single confinement component. As a result, the existing lateral strain model and concrete constitutive model cannot be directly applied to describe the stress–strain development of each component. To address this issue, this study combines the existing confined concrete models with the stress balance condition and strain development characteristics of the cross section of a STRC composite column. Theoretical models are proposed to simulate the development of lateral strain and confining stress in both the ICFST component and ORC component. Additionally, the biaxial stress state of the steel tube is considered based on the generalized Hooke law and Prandtl-Reuss theory in the theoretical model. Consequently, an incremental iterative calculation model for the whole axial load–strain curve is proposed. The effectiveness of the proposed models is verified by comparing the calculation results with the experimental results. [ABSTRACT FROM AUTHOR]

Fractures are common in rock masses, and the examination of the electrical properties of fractured rocks under the combined scenario of thermal-hydro-mechanical is of great significance for the application of electrical methods for deep underground engineering investigation. The resistivity of limestone specimens containing prefabricated fractures was measured under different combinations of confining pressure, pore pressure and temperature. The formation factor was then calculated. The results showed that the formation factor increased with the increase in confining pressure and decline in pore pressure and temperature. The coupling effect between the three factors in changing resistivity is very significant. After comparing the specimen strain, the fracture specimen formation factor was found to be closely related to the fracture deformation. The difference between confining pressure and pore pressure in changing the rock formation factor was analyzed, and the concept of effective stress for the fractured rock formation factor was proposed. A formation factor model for single-fractured rocks under the thermal-hydro-mechanical coupling was derived, and its accuracy was verified by comparison with experimental results. Finally, the consistency of the effective stress coefficient of fractured rock deformation and the effective stress coefficient of formation factor was analyzed. [ABSTRACT FROM AUTHOR]

In this study, we propose the use of a fiber-reinforced plastic grid with polymer-cement-mortar (FRP Grid-PCM) to reinforce segment joints in tunnel shield linings. These joints play a crucial role in determining bearing capacity but are vulnerable to deterioration during operation. To investigate how to enhance the flexural performance of longitudinal shield lining joints, we built eccentric short column specimens by bolting two half-corbel columns together and tested them in the laboratory. The test program comprised two control specimens and three strengthened specimens with FRP grid applied on one side, away from the axial load. The tests varied two main parameters: loading eccentricity and the number of FRP grid layers. We conducted a detailed analysis of the failure process, bearing capacity, and bending stiffness of longitudinal joints under different conditions. Furthermore, we developed an analytical model to predict the flexural bearing capacity of longitudinal joints upgraded with the FRP Grid-PCM method and validated it through experimental results. The research demonstrates that the FRP grid effectively reduces joint opening and rotation angles while enhancing the bearing capacity of the short column, particularly with concurrent increases in loading eccentricity and the number of FRP grid layers. Overall, our findings offer a novel alternative for improving the flexural performance of longitudinal joints in shield tunnels. [ABSTRACT FROM AUTHOR]

This study considers the specific case of a flat, minimally coupled to gravity, quintessence cosmology with a dark energy quartic polynomial potential that has the same mathematical form as the Higgs potential. Previous work on this case determined that the scalar field is given by a simple expression of the Lambert W function in terms of the easily observable scale factor. This expression provides analytic equations for the evolution of cosmological dark energy parameters as a function of the scale factor for all points on the Lambert W function principal branch. The Lambert W function is zero at a scale factor of zero that marks the big bang. The evolutionary equations beyond the big bang describe a canonical universe that is similar to Λ CDM, making it an excellent dynamical template to compare with observational data. The portion of the W function principal before the big bang extends to the infinite pre-bang past. It describes a noncanonical universe with an initially very low mass density that contracts by rolling down the dark energy potential to a singularity, big bang, at the scale factor zero point. This provides a natural origin for the big bang. It also raises the possibility that the universe existed before the big bang and is far older, and that it was once far larger than its current size. The recent increasing interest in the possibility of a dynamical universe instead of Λ CDM makes the exploration of the nature of such universes particularly relevant. [ABSTRACT FROM AUTHOR]

Basil is a highly valued aromatic plant worldwide, and drying is one of the best ways to preserve its leaves. Through a theoretical approach, the microwave drying of basil leaves can be modeled, and the effective diffusivity can be determined. However, using a model that considers moisture diffusion in the presence of intensive microwave energy is crucial. This study proposed a theoretical model to simulate the microwave drying of basil leaves in a thin layer. The model assumed that the material is homogeneous and isotropic, with the effective diffusivity depending on the microwave power. The model was solved numerically and validated with experimental data. The study also examined the effect of the microwave power on the color and bioactive properties during drying. The drying time was reduced by 60%, by increasing the microwave power from 199 W to 622 W. The effective diffusivity was found to be directly proportional to the microwave power. Drying at low powers was found to cause basil pigment degradation. However, drying at a power of 622 W resulted in better preservation of the leaves without browning. Finally, microwave drying negatively affects the bioactive compounds, as the phenolic content and antioxidant capacity in all the powers evaluated were significantly lower than in fresh basil leaves. [ABSTRACT FROM AUTHOR]

While cyberbullying has been recognized as a critically important social problem, a void remains regarding the role of digital media. To address this gap, we propose the social-ecological model of cyberbullying, an expanded model that builds on Bronfenbrenner's ecological systems theory (EST) and expands Swearer and Espelage's social-ecological model of bullying. A strength of the proposed model is the addition of the digital context as a new ecology in the everyday lives of youth, which is closely interconnected with all the other systems. Furthermore, the model incorporates digital-specific factors within each ecological system of the original EST model. This provides scholars with a holistic model that they can test, finetune, and expand. A practical implication of the model is that it can guide the creation and implementation of effective and age-appropriate cyberbullying prevention and intervention approaches because it considers in the chronosystem life phases, life transitions, historical events, and crises. [ABSTRACT FROM AUTHOR]

Limited research is available in the literature to investigate the presentation of normal strength concrete-filled steel tube (CFST) circular compression elements under compression loading by considering various material and geometric coefficients. Thus, the present study investigates the mechanical behavior of CFST compression elements employing nonlinear finite element analysis (NLFEA), empirical/theoretical modeling, and a newly developed Artificial Neural Network (ANN) model, based on a large experimental database of 1223 samples. The NLFEA modeling is performed in ABAQUS (6.14) with an improved concrete damaged plasticity model for laterally restrained concrete. Various geometric and material properties are considered, for parametric NLFEA estimates preliminary validated toward the available experimental database. A new ANN model for the load-carrying capacity of CFST circular elements was also offered by employing the experimental database. The comparison between the calculations of the NLFEA model, empirical model, and ANN model displayed a close agreement with the database results. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Architecture & Civil Engineering is the property of Chang'an Daxue Zazhishe and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, the effects of the cement content and excavation speed parameters on the improvement effect of the artificial freezing method and the characteristics of frozen walls are studied by means of a field test, numerical simulation and theoretical model. The optimization effect of the cement content in the artificial freezing method is studied. It is found that 10% is the best content, which can maximize the freezing wall thickness and grouting effect, and promote uniform distribution of the temperature field. At the same time, the influence of the excavation speed on the stress and settlement of the foundation soil is analyzed. It is pointed out that the increase of the excavation speed will aggravate the settlement and stress redistribution, which may threaten the building structure. The evaluation method proposed in this paper verifies that the construction deformation and settlement control are within the safety standards and provides theoretical support and construction guidance for tunnel engineering. [ABSTRACT FROM AUTHOR]

Most studies in the literature consider the value of the coefficient of dynamic friction to be constant. We studied the evolution of a dynamic system when the coefficient of friction results in different values depending on the contact surfaces. A system with four balls fixed on an aluminium plate was driven with constant velocity into motion on the coaxial races of two identical outer bearing rings. The assembly presents a motion with periodic variable amplitude between two extremes, a fact that suggests the presence of a periodical excitation. The test was repeated, but this time, new bodies were used, which were two identical bodies made of two balls rigidised via a short cylindrical rod. When the rings were driven into rotational motion, the two bodies performed different motions; if the bodies were inter-changed, the differences between the motions remained. The rings were analysed, and a small region on the race of one ring was observed, where the roughness was considerably greater than the rest of the surface. Then, a mathematical model for the dynamic system with different friction coefficients was proposed and solved. This model is capable of simulating different situations, such as oscillatory motion and circular motion, with or without separation of the contacting bodies. Here, we present a dynamic model with Hertzian contact points in the presence of dry friction, with the coefficient of friction changing suddenly on the contacting surfaces. [ABSTRACT FROM AUTHOR]

Magnetically actuated soft microrobots hold promise for biomedical applications that necessitate precise control and adaptability in complex environments. These microrobots can be accurately steered below their step-out frequencies where they exhibit synchronized motion with external magnetic fields. However, the step-out frequencies of soft microrobots have not been investigated yet, as opposed to their rigid counterparts. In this work, we develop an analytic model from the magneto-elastohydrodynamics to establish the relationship between the step-out frequency of soft sperm-like microrobots and their magnetic properties, geometry, wave patterns, and the viscosity of the surrounding medium. We fabricate soft sperm-like microrobots using electrospinning and assess their swimming abilities in mediums with varying viscosities under an oscillating magnetic field. We observe slight variations in wave patterns of the sperm-like microrobots as the actuation frequency changes. Our theoretical model, which analyzes these wave patterns observed without exceeding the step-out threshold, quantitatively agrees with the experimentally measured step-out frequencies. By accurately predicting the step-out frequency, the proposed model lays a foundation for achieving precise control over individual soft microrobots and enabling selective control within a swarm when executing biomedical tasks.

Sexual aggression (SA) by men toward women, including harassment and unwanted sexual touching, is ubiquitous in drinking venues. Focus groups with 38 male volunteers aged 19-26 were used to articulate men's perceptions, attitudes, and beliefs (PABs) related to SA in drinking venues for future development of a comprehensive questionnaire. Three cross-cutting themes relevant to prevention emerged from discussions structured using a 6-dimensional theoretical model: drinking venues culture with normative acceptance of SA as harmless fun, gender scripts that hold female targets responsible for SA, and alcohol attributions that reduce blame for intoxicated men perpetrators and increase blame for women targets. [ABSTRACT FROM AUTHOR]

Healthcare service needs, as the cornerstone of the existence and development of the healthcare service system, if misunderstood or "distorted", will lead to limitations in the interpretation of demand-side behavior and affect the effectiveness of supply-side construction direction and resource allocation. In response to this, based on the analysis of the concept of needs in different disciplines and combining the characteristics of healthcare service providers and users in China, this paper defines the basic connotation and core characteristics of healthcare service needs. By analyzing the ways and results of the influence of factors in the new era on residents′ health service needs, the structural variables of health service needs are derived. On this basis, a "source-structure" theoretical model of Chinese residents′ healthcare service needs is further refined and summarized. For service users, this model reveals the logic and steps behind the demand behavior and the focus of analysis. For service providers, this model can provide theoretical guidance for clarifying functional positioning among different units, optimizing resource allocation, and defining development paths, as well as serve as a reference for improving service capabilities, adjusting service structures, and improving management processes.

Basil is a highly valued aromatic plant worldwide, and drying is one of the best ways to preserve its leaves. Through a theoretical approach, the microwave drying of basil leaves can be modeled, and the effective diffusivity can be determined. However, using a model that considers moisture diffusion in the presence of intensive microwave energy is crucial. This study proposed a theoretical model to simulate the microwave drying of basil leaves in a thin layer. The model assumed that the material is homogeneous and isotropic, with the effective diffusivity depending on the microwave power. The model was solved numerically and validated with experimental data. The study also examined the effect of the microwave power on the color and bioactive properties during drying. The drying time was reduced by 60%, by increasing the microwave power from 199 W to 622 W. The effective diffusivity was found to be directly proportional to the microwave power. Drying at low powers was found to cause basil pigment degradation. However, drying at a power of 622 W resulted in better preservation of the leaves without browning. Finally, microwave drying negatively affects the bioactive compounds, as the phenolic content and antioxidant capacity in all the powers evaluated were significantly lower than in fresh basil leaves.

Abstract New media technologies have opened up new possibilities for the communication of cultural heritage, and digital reading aligns with the participatory shift in museums, becoming an indispensable part of information communication. Currently, there exists a certain contradiction between the professional content of cultural heritage and the non-linear and immersive narrative style of new media. In order to find a balance between form and content, and explore the information communication pattern of cultural heritage in the era of mobile media, starting from practical issues, this article introduces the theory of embodied cognition, combines it with relevant theories in communication studies, and systematically explores the impact of embodied factors on audience reading behavior by using semi-structured interviews and grounded theory. The research reveals that embodied cognition, situational cognition, and interactive cognition have a significant impact on the digital reading information communication of cultural heritage on social media, which includes six factors: functional experience, sensory experience, interactive experience, scene simulation, emotional elevation and social experience. This study further constructed a theoretical model of the factors influencing the effectiveness of information communication in cultural heritage digital reading on the social media platform under the influence of embodied cognition theory, which confirms that these six factors play a significant role in the process of museum content generation, audience understanding, as well as the emergence of and the feedback loop of new meanings.

The space environment strongly affects the on-orbit performance of spacecraft，and ultraviolet（UV） radiation is one of the important factors，which can lead to charge accumulation and charge discharge of spacecraft surface materials. The photoelectron emission yield（PEEY）of spacecraft surface materials is measured to obtain the basic data of photoemission and perform surface charging simulation analysis，which is an important method to study the charging problem of spacecraft surface materials. The paper firstly introduces the development of PEEY theoretical models，including the Fowler-Dubridge（FD） model，the one-step model，the three-step model（TSM）/Monte carlo（MC） model based on the three-step photoelectron emission theory，and the Moments-based （MB） emission model and quantum model（QM）. The research methods and applicable conditions of each model are analyzed and compared，and the development of PEEY model is sorted out. Then the experimental test applications of PEEY，including the development of domestic and foreign ultraviolet photoelectron yield spectroscopy （UV-PEEY） instruments，the experimental study of PEEY for typical space materials are introduced，and the influence of external conditions and surface conditions on PEEY is focused on. Finally，the suggestions for in-depth research on PEEY for space surface materials are put forward.

Digitalisation forces emerging from the fourth industrial revolution significantly impact executive coaches and the coaching industry. Despite this, executive coaching literature has historically overlooked the impact of socio-contextual factors on the practice, leaving a research gap. A qualitative study of 25 executive coaches through constructivist grounded theory found that digitalisation significantly impacts executive coaching, but most coaches struggle to understand it holistically. Coaches encounter digitalisation-driven changes directly and indirectly, suggesting a need to adapt the coaching agenda towards the challenges of the digital age. This study positions digitalisation as a crucial socio-contextual factor, proposing a theoretical model to comprehend its impact holistically and initiate discussions on its anticipated effects.

The self‐heating‐induced temperature rise in the adhesive layer under fatigue loading plays a significant role in influencing the fatigue behavior of riveted‐bonded hybrid joints in aluminum‐carbon fiber reinforced polymer composite structures. This study aims to investigate the impact of the self‐heating effect on the fatigue life of such hybrid joints. Experimental analysis was conducted to explore the interrelationships between temperature evolution and fatigue behavior at varying frequencies, adhesive thicknesses, and loading levels. Additionally, a theoretical model for predicting self‐heating temperature rise in hybrid joints with different parameters was developed. Results show that the self‐heating effect is notably affected by loading frequency, loading level, and adhesive thickness. The theoretical model accurately captures temperature variations and predicts critical frequencies for hybrid joints under different loading levels, which are identified as 10, 8, 3, and 1 Hz for loading levels of 35%, 40%, 50%, and 60%, respectively. Critical adhesive thicknesses ranging from 0.5 to 1 mm were also determined. Furthermore, the study predicts the fatigue life at specific self‐heating temperatures with an average error within 4%, offering valuable theoretical insights for evaluating the fatigue safety performance of hybrid joints and facilitating optimization strategies. Highlights: The interrelationship between the self‐heating effect and fatigue behavior was revealed.Quantitative influences of main process parameters on the self‐heating effect were discussed.A self‐heating temperature rise model considering process parameters was developed.The critical frequency and adhesive thickness of the hybrid joint were determined. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Applied Mechanics is the property of Chinese Journal of Applied Mechanics Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Simple Summary: This article outlines a framework for the development and maintenance of chemotherapy-induced peripheral neuropathy using the 3P model, which focuses on predisposing, precipitating, and perpetuating factors. Predisposing factors increase the risk of CIPN onset; chemotherapy triggers the development of CIPN; and perpetuating factors maintain CIPN and limit recovery, such that CIPN becomes a chronic condition. In our proposed model, we have identified demographic, genetic, and clinical factors, such as comorbidities, as predisposing factors. Chemotherapy type, dose, and schedule are precipitating factors. Perpetuating factors include depression and physical activity. The proposed model can be used to identify treatment targets for the management of chemotherapy-induced peripheral neuropathy. Background: Chemotherapy-induced peripheral neuropathy (CIPN) is a common and debilitating symptom experienced by cancer survivors. Despite the burden of CIPN-related symptoms, interventions remain limited. Objectives: This narrative review seeks to propose a framework for CIPN predisposing, precipitating, and perpetuating factors (3Ps), which will provide a foundation for future research and clinical interventions aimed at mitigating CIPN-related symptoms and morbidity. Methods: A comprehensive literature search was performed using PubMed, guided by keywords related to "chemotherapy-induced peripheral neuropathy." Studies were limited to those with full text available in English. Results: Predisposing factors outlined in this framework, such as older age and comorbid conditions, can be used to identify patients who have a higher risk of developing CIPN. The major precipitating factor of CIPN is the delivery of chemotherapy to peripheral nerves, which may be mitigated via cryotherapy or compression therapy during chemotherapy. Perpetuating factors can offer insight into psychological, cognitive, and behavioral modifications that could be treatment targets for CIPN management. Conclusion: The proposed 3P model can guide the development of effective interventions for CIPN by suggesting modifiable psychological and behavioral treatment targets that may mitigate the impact of CIPN for cancer patients. [ABSTRACT FROM AUTHOR]

Purpose: The article thoroughly examines the factors impacting internet users' information privacy concerns and proposes a theoretical framework for directing future research. The systematic literature review combined major privacy models to understand the comprehensive picture of users' behavioural intentions. Design/Methodology/Approach: By systematically assessing the work of the GIPC, CFIP, and IUIPC models used to date, which were the available contributions on privacy concerns to date, a comprehensive model has been developed for further testing. Findings: The study indicates that 16 key articles help in understanding privacy concerns. The combination of the GIPC, CFIP, and IUIPC models creates a comprehensive framework for evaluating privacy behaviours. This model not only highlights essential aspects but also assesses their relationship providing more insight into privacy-related behaviours. Research Limitations: The model should be validated only using primary data analysis, and the outcomes are contextual. Research Implications: This analysis provides an adequate basis for future studies on privacy concerns, as well as guidance to internet service providers on how to build successful privacy policies. Additionally, it helps internet users make educated decisions about their online behaviour. Originality/Value: This article combined previously tested models in different domains, providing a comprehensive overview of the factors using privacy concerns. It is the first to incorporate different privacy models, providing an adequate basis for future study. [ABSTRACT FROM AUTHOR]

Urban areas are at the forefront of economic activity and notably contribute to carbon emissions. Transforming cities to low-carbon models is imperative for addressing climate change. The digital economy (DE) has emerged as a pivotal force in driving global economic progress, offering unique benefits that support urban low-carbon transitions. Despite extensive research on the correlation between DE and urban low-carbon transformation (ULCT), there remains a gap in studies utilizing mathematical models to delve into the intrinsic mechanisms and deeper impacts. This research evaluates the influence of DE on ULCT by examining data from 283 prefecture-level and above cities in China, spanning from 2011 to 2019, through both theoretical frameworks and empirical testing. The analysis reveals that DE substantially fosters ULCT, a conclusion reinforced by rigorous robustness and endogeneity checks. Notably, DE's impact on ULCT is more significant in southern cities than in northern ones. Interestingly, while DE in the Yangtze River Delta and Chengdu-Chongqing urban clusters showed limited promotion of ULCT, it had the highest impact in the middle reaches of the Yangtze River. DE enhances ULCT through several pathways, including scale economy effect, heightened public environmental awareness effects, and increased income effects, contributing 6.64%, 9.84%, and 16.2%, respectively. Furthermore, the effects of public environmental awareness and income are particularly pronounced in southern regions, unlike in northern areas. This study not only expands the theoretical research on the relationship between the digital economy and urban low-carbon transition but also provides specific guidance and support for related policy formulation and implementation. This helps promote cities toward more environmentally friendly and sustainable development. Furthermore, the conclusions of this study have important reference value for other major polluting countries (such as the US, India, and Germany). Different countries and regions should formulate targeted low-carbon transition strategies based on their own DE development, income levels, and public environmental awareness. This will effectively promote urban low-carbon transitions, achieving a win-win situation for economic development and environmental protection. [ABSTRACT FROM AUTHOR]

Fluid jet polishing (FJP) is a non-contact polishing technology that can fabricate free-form optical surfaces with sub-micron-level form accuracy and nano-level surface roughness, especially for hard and brittle materials. The surface generation model of FJP can be used to guide the determination and optimization of process parameters and is of great significance for understanding the evolution mechanism of surface microtopography. However, predictive models for the microscopic topography of polished surfaces are still lacking. This study established a macroscopic surface profile model for predicting 3D material removal characteristics and surface texture by combining the 3D computer fluid dynamics (CFD) simulation model and single-particle erosion mechanism. A fractal theory-based erosion model has been built to calculate the material removal caused by the erosion of a single abrasive particle on the rough surface; thus, it predicts the micro-topography and surface roughness of the polished samples. A series of polishing experiments were conducted to analyze the feasibility and accuracy of the model quantitatively and study the influence mechanism of process parameters on the material removal characteristics and surface quality. Results indicated that the models could well predict material removal and surface roughness. The prediction accuracy of the surface roughness Ra and maximum removal depth is better than 91.6% and 90%, respectively. It is also found that the material removal rate of FJP could reach 0.517 mm3/min, and the surface roughness convergence rate could reach 62.9%. [ABSTRACT FROM AUTHOR]

The purpose of this study was to investigate the stability of rocky slopes largely formed of sandstone and claystone clastics along Highway 80-2 in Mosul City, northern Iraq. Seven separate stations along the route were covered by the investigation, and each station included two to five study locations. Field studies were used to identify both man-made and natural slope failures caused by building a residential complex. The identification of these slopes' sliding surfaces was done using a user-friendly, contemporary method, with the potential for future advancements in measuring safety parameters. According to the analysis, the sliding potential is raised, especially during rainy seasons, by geotechnically weak rocks. Examples of these rocks include sandstone and claystone. The most important assumption underlying the suggested approach is a circle-shaped arch that is centered at the point where a vertical line from the slope's toe intersects the upper slope level. The sliding base is represented by the diagonal line inside the effective range of the slope, which relies on the angle of internal friction and is equal to the horizontal distance twice the vertical height of the slope. The angle of internal friction for most clastic slope materials was determined to be 27°. The slope inclination was used to determine the shape and sequence of sliding surfaces. As a result of the study's findings, it can be concluded that the suggested model accurately predicts the slides seen in the study area. [ABSTRACT FROM AUTHOR]

In order to investigate the effect of the carrier's initial velocity on the jet's damage power, this paper conducted the numerical simulation of a jet penetrating thick‐walled targets at various following velocities (the carrier's initial velocity). For large stand‐off distance (D), the influence on jet formation parameters was revealed under different following velocities (ranging from 0 to 1000 m/s), and the jet's penetration performances were analyzed at various stand‐off distances (ranging from 3D to 10D). Then, taking 3D as an example, the study investigated the influence mechanism of the coupling between following velocity and impact angle (ranging from −60° to 60°) on jet penetration performance. The results show that an increase in the following velocity causes the jet to bend and break at an earlier time. The following velocity has a minimal effect on jet tip velocity. Additionally, the lateral displacement is linearly correlated with stand‐off distance. For normal penetration, the jet penetration depth decreases exponentially as the following velocity increases at the same stand‐off distance. Especially, the penetration depth decreases by over 80% when the following velocity exceeds 600 m/s, and a further increase in the following velocity has a minimal effect on jet penetration depth. A greater jet penetration depth was achieved for the climbing‐oblique penetration (COP) than the diving‐oblique penetration (DOP) due to an increase in dynamic stand‐off distance. Finally, the ratio of oblique to normal penetration depth for a jet with varying following velocities was derived based on the theory of steady‐jet and hole expansion, and its accuracy was verified. [ABSTRACT FROM AUTHOR]

New media technologies have opened up new possibilities for the communication of cultural heritage, and digital reading aligns with the participatory shift in museums, becoming an indispensable part of information communication. Currently, there exists a certain contradiction between the professional content of cultural heritage and the non-linear and immersive narrative style of new media. In order to find a balance between form and content, and explore the information communication pattern of cultural heritage in the era of mobile media, starting from practical issues, this article introduces the theory of embodied cognition, combines it with relevant theories in communication studies, and systematically explores the impact of embodied factors on audience reading behavior by using semi-structured interviews and grounded theory. The research reveals that embodied cognition, situational cognition, and interactive cognition have a significant impact on the digital reading information communication of cultural heritage on social media, which includes six factors: functional experience, sensory experience, interactive experience, scene simulation, emotional elevation and social experience. This study further constructed a theoretical model of the factors influencing the effectiveness of information communication in cultural heritage digital reading on the social media platform under the influence of embodied cognition theory, which confirms that these six factors play a significant role in the process of museum content generation, audience understanding, as well as the emergence of and the feedback loop of new meanings. [ABSTRACT FROM AUTHOR]

Fixed abrasive lapping (FAL) is considered a promising technology in ultra-precision manufacturing of various hard and brittle materials due to its advantages, e.g., high finishing efficiency and eco-friendly. In this work, the machining efficiency, material removal depth, and surface roughness in FAL of SiC were investigated through a series of practical experiments. The microscopic morphology of the surface and subsurface of the machined workpiece was examined to analyze the influencing mechanism of the machining parameters on the surface and subsurface state. The effects of the presence of defects induced by sintering of the SiC on the material machinability were discussed. A theoretical model for predicting the maximum subsurface damage depth (SSDd) in FAL is established based on microscopic contact state during the process and indentation fracture mechanics, considering the load and grain size. Theoretical results indicate good consistency with experimental ones in that the maximum SSDd increases with load and grain sizes. A strategy for FAL optimization was provided based on the experimental and numerical results. [ABSTRACT FROM AUTHOR]

Background: Mobile phone addiction (MPA) among students leads to significant psychological changes. Therefore, modifying mobile phone usage (MPU) patterns using behavioral change theories and models can be beneficial. The transtheoretical model (TTM) is commonly employed in the field of addictive behaviors. Objectives: This study aimed to assess the effect of an intervention based on TTM on MPA in female primary school students. Methods: This experimental study included 72 students (36 participants in each group) randomly selected from girls' primary schools in Bushehr. The data collection tool comprised a questionnaire covering demographic factors, stage of changes, decisional balance (DC), self-efficacy (SE), excessive mobile phone use, and an MPA questionnaire. The training was conducted through motivational interview sessions: Two for participants in the preparation stage and three for those in the pre-contemplation and contemplation stages, utilizing the constructs of the TTM. After 3 months, the collected data were analyzed using SPSS software with a significance level of less than 0.05. Results: The findings indicated similarities between the two groups before the study. Following the intervention, the training led to a significant increase in the mean score of SE and DC distribution count of excessive MPU (P = 0.013) and stage of change (P < 0.001) over time between the two groups. Mobile phone addiction significantly decreased in the intervention group three months after training (P < 0.001). Conclusions: Education based on TTM can effectively reduce MPA in students. [ABSTRACT FROM AUTHOR]

BackgroundChronic low back pain (cLBP) is a complex with a heterogenous clinical presentation. A better understanding of the factors that contribute to cLBP is needed for accurate diagnosis, optimal treatment, and identification of mechanistic targets for new therapies. The Back Pain Consortium (BACPAC) Research Program provides a unique opportunity in this regard, as it will generate large clinical datasets, including a diverse set of harmonized measurements. The Theoretical Model Working Group was established to guide BACPAC research and to organize new knowledge within a mechanistic framework. This article summarizes the initial work of the Theoretical Model Working Group. It includes a three-stage integration of expert opinion and an umbrella literature review of factors that affect cLBP severity and chronicity.MethodsDuring Stage 1, experts from across BACPAC established a taxonomy for risk and prognostic factors (RPFs) and preliminary graphical depictions. During Stage 2, a separate team conducted a literature review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to establish working definitions, associated data elements, and overall strength of evidence for identified RPFs. These were subsequently integrated with expert opinion during Stage 3.ResultsThe majority (∼80%) of RPFs had little strength-of-evidence confidence, whereas seven factors had substantial confidence for either a positive association with cLBP (pain-related anxiety, serum C-reactive protein, diabetes, and anticipatory/compensatory postural adjustments) or no association with cLBP (serum interleukin 1-beta / interleukin 6, transversus muscle morphology/activity, and quantitative sensory testing).ConclusionThis theoretical perspective will evolve over time as BACPAC investigators link empirical results to theory, challenge current ideas of the biopsychosocial model, and use a systems approach to develop tools and algorithms that disentangle the dynamic interactions among cLBP factors.

A three-dimensional dynamic model of vehicle-road-unsaturated subgrade coupling is established. The semi-analytical and numerical solutions of three-dimensional dynamic response of highway subgrade under vehicle load are presented for the first time. Then, the accuracy of the theoretical model is verified by the field measurement data. Finally, the spatial distribution of dynamic stress and depth of working zone under different influencing factors are studied, and the calculation model of depth of working zone of highway subgrade is proposed. The results show that the dynamic stresses, σx, σy, σz, and τxz increase significantly with the increase of vehicle axle load and decrease significantly with the increase of road thickness under the same subgrade depth. In addition, with the increase of axle load and the decrease of road thickness, the peak values of dynamic stress σx, σy, σz, and τxz decrease more obviously along the depth of roadbed. In the process of vehicle movement, the traditional subgrade working area can be divided into a sensitive area and an influence area of dynamic load. The depth of these two areas is positively correlated with the axle load of the vehicle and negatively correlated with the thickness of the road surface. The advantage of the model in this paper is that the semi-analytical solution of the total stress component of the soil element in the course of traffic load is given.

Objectives: Morphologic study is a common approach in the field of anterior disc displacement (ADD) pathology; however, analysis based on 3D reconstructive imaging has not been investigated. This study investigated the association between ADD and the status of the mandibular condyle and articular fossa. Method and materials: Thirty-four patients were divided into a normal articular disc position (NADP) group, an ADD with reduction (ADDwR) group, and an ADD without reduction (ADDwoR) group. Images reconstructed were used to determine multiple grouped comparisons of these three different types of disc position, and the diagnostic efficacy for the morphologic parameters with significant grouped difference was analyzed to assess. Results: The condylar volume and condylar superficial area of the NADP, ADDwR, and ADDwoR groups exhibited obvious changes (P < .05). A multivariate logistic ordinal regression model showed that the condylar volume (odds ratio [OR], 1.011; regression coefficient [RC] = .011, P = .018), superior joint space (OR, 8.817; RC = 2.177; P < .001), and medial joint space (OR, 1.492; RC = 0.400; P = .047) had a significantly positive impact on the groups. Conclusion: The mandibular condyle and articular fossa in temporomandibular joint ADD exhibited altered dimensions. The condylar volume, condylar superficial area, superior joint space, and medial joint space could be considered as promising biometric markers for assessing ADD, and were investigated in this current pilot study. [ABSTRACT FROM AUTHOR]

A theory of a two-step surface redox mechanism, involving both single-electron and two-electron transfers, is developed for cyclic voltammetry. It is assumed that the first step is kinetically controlled, while the second one is reversible. Depending on the difference in standard potentials, three types of responses appear as functions of the kinetic parameters. Calculation of the transfer coefficients and the standard rate constant is explained.

This article is devoted to the study of thermal conductivity of nanofluid. A nanofluid is a liquid in which nanometer-sized solid particles are dispersed. These particles are called nanoparticles. Nanofluids have new promising thermophysical properties compared to conventional heat transfer fluids. Thermal conductivity is one of the main thermophysical properties of a liquid. Thermal conductivity is of great importance in processes where heat transfer and fluid flow occur. The article presents well-known theoretical models for determining the thermal conductivity of nanofluid. A brief description of these models is given. Some experimental work on determining the thermal conductivity of various nanofluids is considered. A computational study of the effect of aluminum oxide (Al2O3) and silicon dioxide (SiO2) nanoparticles on the change in thermal conductivity of a nanofluid has been performed. A comparative analysis of known computational models and experimental data is carried out. The accuracy of the calculated models is determined by determining the thermal conductivity of the nanofluid.

Abstract Large thin-walled pipes are particularly suitable for oil and gas transport and auxiliary pipes in cold areas or deep sea-beds. At present, the rounding and straightening processes are completed independently, and the theoretical model for roller-shape design is analyzed only in a single direction. To solve this problem, a theoretical model for roller-shape design of three-roller continuous and synchronous adjusting straightness and ovality process for large thin-walled pipes is established. The established model is verified by numerical simulation and experimental research using 304 stainless steel pipes. The results show that the three roller-shape design schemes, including three-section, four-section and five-section, proposed based on the theoretical model, can obtain qualified formed pipes. Based on the model, the residual ovality, residual straightness and maximum residual stress of the three roller-shape schemes are discussed. The residual straightness can reach within 0.2%, and the residual ovality can reach within 1%. It verifies the applicability of the model and the feasibility of the process. The model can provide a theoretical basis for presetting the process parameters and optimizing the roller-shape.

Mobile phone dependence (also known as internet dependence, MPD), defined as a problematic behavior characterized by excessive use or intermittent craving to use a mobile phone, results in various social, behavioral, and affective problems in daily life. In sports, MPD is directly related to the physical and mental health and sports performance of athletes. The individual and environmental factors, neurobiological mechanisms and theoretical models of MPD affecting athletic performance were analyzed by reviewing previous studies, aiming to construct effective training and development protocols to prevent and control the occurrence of MPD in athletes. At present, athletic performance can be affected by MPD through individual factors and environmental factors. The neurobiological mechanisms between the two are based on the brain reward system and microwave radiation from mobile phones, with athletic performance being restricted by alterations in the corresponding brain regions. Relevant theoretical models mainly include the social cognitive model of self-regulation and the integrative model of self-control, which explain the interrelationship between MPD and athletic performance from the perspectives of athletes' selfregulation and self-control, respectively. As an emerging phenomenon, the influence pathways and mechanisms by which MPD affects athletic performance need to be further investigated. A longitudinal perspective should be adopted to trace the dynamic impact relationship between the two, and developing relevant theoretical frameworks from an interdisciplinary research perspective should be valuable for providing theoretical support for coaches and sports administrators to formulate scientific training protocols and thus improve the mental health of athletes. [ABSTRACT FROM AUTHOR]