Strategy For Construction Research Articles

A Rapidly Assembled and Camouflage-Monitoring-protection Integrated Modular Unit.

Optical-electromagnetic compatible devices are urgently required in intelligent building monitors and cross-band protection. Meanwhile, the insufficient systematicness and semi-empirical attempts significantly limit the prosperity of cross-band materials, causing enormous challenges for deviceization and material database construction. Herein, the systematical component-deviceization-machine learning prediction-array construction strategy is attempted to solve the bottleneck issues. A luminance-triggered camouflage-monitoring-protection triune integrated modular unit (IMU) is hierarchically encapsulated to simultaneously achieve efficient anti-electromagnetic interference (EMI), light-absorbing, quick gradient-colorization response. Moreover, an illumination intensity dataset and a surrogate model based on fully connected neural network fitting (FCNN-fitting) are constructed, which accurately predicts the light-absorbing property of IMUs and can be instructional for material selection. The IMUs are specifically assembled into a 4*4 array, aiming at multi-scenario application of programmable display, camouflage pattern, surface conformality, and rapid replaceability. This work paves the path and provides a promising strategy for optical-electromagnetic compatibility and material genetics-deviceization-array systematization.

IA-YOLO: A Vatica Segmentation Model Based on an Inverted Attention Block for Drone Cameras

The growing use of drones in precision agriculture highlights the needs for enhanced operational efficiency, especially in the scope of detection tasks, even in segmentation. Although the ability of computer vision based on deep learning has made remarkable progress in the past ten years, the segmentation of images captured by Unmanned Aerial Vehicle (UAV) cameras, an exact detection task, still faces a conflict between high precision and low inference latency. Due to such a dilemma, we propose IA-YOLO (Inverted Attention You Only Look Once), an efficient model based on IA-Block (Inverted Attention Block) with the aim of providing constructive strategies for real-time detection tasks using UAV cameras. The working details of this paper are outlined as follows: (1) We construct a component named IA-Block, which is integrated into the YOLOv8-seg structure as IA-YOLO. It specializes in pixel-level classification of UAV camera images, facilitating the creation of exact maps to guide agricultural strategies. (2) In experiments on the Vatica dataset, compared with any other lightweight segmentation model, IA-YOLO achieves at least a 3.3% increase in mAP (mean Average Precision). Further validation on diverse species datasets confirms its robust generalization. (3) Without overloading the complex attention mechanism and deeper and deeper network, a stem that incorporates efficient feature extraction components, IA-Block, still possess credible modeling capabilities.

Evolution of Supramolecular Coordination Assemblies Visually Monitored by Time-Dependent Multicolor Fluorescence.

Supramolecular coordination assemblies play an important role in both material science and biological systems. Despite significant efforts in their development, most existing examples are thermodynamically controlled, which lack the adaptability and autonomy essential for the creation of advanced materials. In this work, we have developed non-equilibrium coordination assembly systems that can evolve over time through a combination of thermodynamic and kinetic controls. The introduction of zinc ions resulted in the formation of metastable fiber assemblies in a kinetically trapped state, which autonomously converted to thermodynamically stable nanosheets over time. This evolution process can be regulated by external stimuli and visually monitored by the time-dependent multicolor fluorescence. The construction strategy was versatile across other various ions such as Ca2+, Mg2+, and Al3+, offering inspiring insights for the design of complex systems that operated both in and out of their thermodynamic equilibrium.

Theoretical Logic, Methodological Path, And Dissemination Implications of Telling the Story of Liaoning Well in Applied Undergraduate Universities

This article focuses on the development of applied education in the context of the new era of education. The theme word is set as applied universities. Based on the characteristics of applied talent cultivation in applied universities, the theme of "Liaoning Story" with regional cultural features is selected to explore the theoretical logic, methodological path, and communication implications of applied universities in telling and telling the story of Liaoning well. In order to provide more meaningful exploration for the cultural connotation construction and image dissemination strategy of applied universities.

Do stock prices deviate from their fundamental values during and after COVID-19? Evidence from Fintech firms

Purpose This study aims at investigating the nexus between stock misvaluation, Fintech and COVID-19 via identifying the firm-level misvaluation of Fintech firms, and additionally examining how the COVID-19 pandemic has affected this misvaluation. This study further examines how the level of stock misvaluation has changed after the COVID-19 pandemic to shed more light on the pricing behavior of Fintech in a post-pandemic world. Design/methodology/approach The sample consists of all Fintech firms listed in the STOXX Global Fintech Index over the period (2014–2023). To empirically identify stock misvaluation, the authors apply the widely used approach of Rhodes-Kroph et al. (2005). Then, a series of fixed-effects regressions is conducted to investigate the impact of the COVID-19 pandemic on mispricing. Findings This study finds compelling evidence that Fintech stocks tend to be particularly mispriced during the COVID-19 pandemic. This evidence suggests that investors became more attracted to Fintech stocks, as being exposed to widespread adoption, usage and investment worldwide during the pandemic. Interestingly, the findings show that Fintech firms remain overvalued, even after the pandemic, which indicates that investors maintain their positive expectations for Fintech firms after the COVID-19 pandemic. Practical implications For investors and fund managers, the observed high valuation in the Fintech sector highlights its noticeable growth in the financial industry. The results also suggest that the impact of the COVID-19 pandemic on pricing behavior is asymmetric across the undervalued and overvalued Fintech stocks. This finding provides important insights for portfolio construction and investment strategies during the hard times of pandemics. Originality/value No previous work has been done on the effects of the COVID-19 pandemic on the prevailing levels of mispricing in Fintech stocks. Moreover, the findings provide novel insights into the pricing efficiency in the context of Fintech and extend the understanding of the long-term effects on Fintech firms in a post-pandemic world.

Female physicians in senior management positions during a crisis: a constructive multimodal communication framework of feminine leadership

Purpose The purpose of the present study is to explore multimodal, i.e. verbal and nonverbal, gendered communication patterns of female physicians in senior management positions (governmental and health authorities) during a crisis. Design/methodology/approach Using a mixed multi-variable design, repeated ANOVA tests, and planned contrasts, the authors analyzed television appearances of 20 female physicians in senior management positions during the COVID-19 crisis (March/2020-April/2021). Findings The findings revealed patterns of mixed-gendered communication structures. Verbally, female physicians primarily displayed a masculine/agentic communication style of assertiveness, control, confidence and rationality. Nonverbally, however, they expressed a feminine/communal communication style of emotional attention, interpersonal sensitivity, responsiveness, kindness and empathy. Moreover, the analysis delineated integrated multimodal constructive vs. inhibitive communication strategies for crisis communication of female physicians in senior management positions. Research limitations/implications In the current research the authors did not compare females to males in health management positions, which is their follow-up project, but the authors did examine studies of males and females in management positions in the political sphere, which supported their findings. Therefore, the authors were able to demonstrate theoretical implications of multimodal gendered communication frameworks of feminine leadership. Practical implications Delineating verbal and nonverbal gendered communicative structures of effective management in health sectors can help female physicians assume positions of leadership, serve as guide models for other female physicians and contribute to improving effective communication skills during a crisis. Social implications This study contributes to the attempts of promoting gender equity in medicine and management by presenting effective communication strategies in medical crises that can help to promote female physicians’ messages development, social influence, leadership and management success in the future. Originality/value This article presents constructive, multimodal gendered communication frameworks of female physicians in senior management positions used in television appearances during the global COVID-19 crisis. Most previous studies in this area have examined either verbal or nonverbal communication mode. The value of this multimodal examination provides insights that may enhance constructive communication of female physicians in senior management positions during a crisis.

Comparative Study of Cradle-to-Gate Carbon Emissions from Steel and Concrete Structures of Bangladeshi Industrial Projects

Sustainable practice is necessary for the construction industry's environmental impact, particularly carbon footprint. A "cradle-to-gate" Life Cycle Assessment of the embodied carbon emissions of two structural systems, steel and reinforced concrete, is presented for an industrial building in Bangladesh. By quantifying these emissions through BIM modeling and emission factor databases, the analysis shows that steel-framed structures have a significantly higher carbon footprint than their concrete alternatives, mainly because of the energy-intensive steel production processes. Emissions from raw material extraction, transportation, and manufacturing stages are detailed and assessed. The results show that steel structures produce 60% more embodied carbon than reinforced concrete counterparts, primarily due to raw material emissions, with other emissions from aluminum and rebar in both systems. These findings provide a basis for construction material selection and highlight the need for low-carbon approaches to reduce the sector's carbon footprint in rapidly urbanizing areas like Bangladesh. Further research should extend to the end-of-life impacts and more localized emission data to continue to refine sustainable construction strategies.

Three-dimensional metamaterials based on discrete assembly to customize thermal expansion response under temperature stimuli

Three-dimensional (3D) metamaterials with the customizable thermal response under the temperature stimuli are of great necessity for engineering applications. However, current researches usually focused on the design strategy of these metamaterials and lack the integrated strategy throughout design and fabrication. Here, an integrating design-manufacturing-response workflow is established to develop a series of 3D metamaterials. Specifically, a construction strategy, which is based on discrete assembly, mortise-and-tenon structures and transition cube blocks, is proposed to connect the dissimilar and out-of-plane struts. Then, totally three classes of 3D complicated metamaterials made of Aluminum and Invar alloys are fabricated to export multi-directional customizable coefficient of thermal expansion (CTE). Additionally, the theory prediction, simulations and experiments are conducted to characterize the thermal responses. The results suggest that through reasonably modulating the geometrical parameters, all the fabricated metamaterials are capable of reaching the CTEs across from large positive, near-zero and negative values. Besides, the metamaterials PC and UN present the unidirectional customizable CTEs (-12.72 × 10-6 ∼ +42.73 × 10-6/°C and -12.54 × 10-6 ∼ +41.51 × 10-6/°C, respectively), while the metamaterials FS show the transversal isotropic CTEs (-10.89 × 10-6 ∼ +34.66 × 10-6/°C) and IS have the isotropic customizable CTEs (-10.18 × 10-6 ∼ +34.58 × 10-6/°C). Overall, these originally developed metamaterials open a new avenue for customizing the targeted thermal responses for engineering applications, where the thermal expansion is of high significance.

Evolution of Supramolecular Coordination Assemblies Visually Monitored by Time‐Dependent Multicolor Fluorescence

Supramolecular coordination assemblies play an important role in both material science and biological systems. Despite significant efforts in their development, most existing examples are thermodynamically controlled, which lack the adaptability and autonomy essential for the creation of advanced materials. In this work, we have developed non‐equilibrium coordination assembly systems that can evolve over time through a combination of thermodynamic and kinetic controls. The introduction of zinc ions resulted in the formation of metastable fiber assemblies in a kinetically trapped state, which autonomously converted to thermodynamically stable nanosheets over time. This evolution process can be regulated by external stimuli and visually monitored by the time‐dependent multicolor fluorescence. The construction strategy was versatile across other various ions such as Ca2+, Mg2+, and Al3+, offering inspiring insights for the design of complex systems that operated both in and out of their thermodynamic equilibrium

Distributed decision making for unmanned aerial vehicle inspection with limited energy constraint

The unsatisfactory energy density of the state-of-art batteries imposes constraints on the practical application of unmanned aerial vehicles (UAVs). Establishing a UAV airport network that integrates energy supply and information exchange functionalities represents an ideal solution for enabling synergistic UAV operations. However, devising efficient distribution protocols for these airports remains a challenge. By leveraging modeling and analysis of the energy density of existing UAV batteries, we can forecast the flight range and distances achievable by UAVs. Here, we propose a distribution protocol for UAV airport platforms aimed at enhancing distribution accuracy by the use of AI principles. Furthermore, considering the possibility of emergency UAV stop, we introduce an emergency stop system in conjunction with standard stopping procedures to optimize distribution efficiency and enhance UAV inspection safety. Moreover, existing UAV airports usually provide energy to UAVs without harnessing UAVs to facilitate interconnection and interoperability among different airports. This inefficiency leads to significant resource wastage in energy distribution. To address this, we introduce a shared energy network that allows different companies to operate according to energy distribution needs. This network not only supplies energy to UAVs but also employs UAVs for energy collection and transportation, facilitating energy trading, business collaboration, and data transmission among diverse organizations. By enabling ubiquitous energy trading, this study provides us an ideal strategy for the future construction of energy network with interconnection and interoperability, which can be extended to other applications calling for energy distribution.

Effects of wheat cultivar, bran concentration and endoxylanase on the thermomechanical, viscoelastic and microstructural properties of whole wheat flour dough

Globally, it is challenging to promote the market of whole wheat product due to its undesirable product quality issues. To overcome this remarkable challenge, this research was to work on the constructive strategies for mitigating the negative impact of wheat bran. As such, the objective of this research was to investigate how the wheat cultivar, bran concentration and endoxylanase affected dough thermomechanical properties, viscoelasticity and microstructure by a combined use of mixolab, rheometry, scanning electron microscopy (SEM) and confocal laser scanning microscopy (CLSM). A cultivar-dependent discrimination for the bran tolerance was observed to suggest the suitable wheat cultivars for whole wheat manufacturing. Bran addition positively affected dough mechanical and viscoelastic properties, i.e., larger dough mechanical weakening (C2) and gel strength, and it negatively affected starch gelatinization (C3) and retrogradation (C5). However, the main conclusions are below. The endoxylanase was incorporated to invert the bran impact on the above properties of dough. Endoxylanase was also used to develop a better integrity of gluten network, larger coverage of starch granules and even distribution of gas cells. Outcomes from this work will provide a practical guidance for improving the high-fibre product quality and promoting its market growth.

Protocol for engineering bone organoids from mesenchymal stem cells

Bone organoids are emerging as powerful tools for studying bone development and related diseases. However, the simplified design of current methods somewhat limits their application potential, as these methods produce single-tissue organoids that fail to replicate the bone microarchitecture or achieve effective mineralization. To address this issue, we propose a three-dimensional (3D) construction strategy for generating mineralized bone structures using bone marrow-derived mesenchymal stem cells (BMSCs). By mixing BMSCs with hydrogel to create a bone matrix-mimicking bioink and employing projection-based light-curing 3D printing technology, we constructed 3D-printed structures, which were then implanted subcutaneously into nude mice, away from the native bone microenvironment. Even without external stimulation, these implants spontaneously formed mineralized bone domains. With long-term culture, these structures gradually matured into fully differentiated bone tissue, completing both mineralization and vascularization. This in vivo bone organoid model offers a novel platform for studying bone development, exploring congenital diseases, testing drugs, and developing therapeutic applications.

Chiral metal-containing semiconductor nanocrystals: Construction, optical activity, and application

In recent years, chiral semiconductor nanocrystals (NCs) have attracted extensive interest from researchers and significant research progress has been made. In order to provide researchers with a comprehensive and in-depth perspective in this topic, this review will summarize the recent research progress in the chiral semiconductor NCs, including synthesis methods, chiral mechanism, and relevant application. First, this review will discuss the construction strategies of various chiral semiconductor NCs. Second, the optical activities of different types of chiral semiconductor NCs, such as circular dichroism and circularly polarized luminescence, will be analyzed in depth, and the chiral origins will be discussed at the microscopic level. Third, we will summarize the applications of chiral semiconductor NCs in optoelectronic devices, nonlinear optics, and biomedicine. Finally, we will discuss the opportunities and challenges in the study of chiral semiconductor NCs.

Physics-Informed Neural Network Surrogate Model for Small-Sample Mistuned Bladed Disk

Mistuning in bladed disk structures disrupts their cyclic symmetry, potentially resulting in high cycle fatigue. The stochastic nature of mistuning greatly increases the computational cost of related studies. To improve computational efficiency, previous research has primarily focused on reduced-order models based on finite element methods, whereas the increasing demand for rapid computation and precise predictions has led to the emergence of data-driven approaches. These methods directly use vibration data from bladed disks, eliminating the need for building complex physical models. The accuracy of these methods is dependent on the size of the data, which, however, are often difficult to obtain. To overcome the challenge of insufficient data, this study introduces a Physics-Informed Neural Network Surrogate Model for Small-Sample Mistuned Bladed Disk (PINN-SMBD). This new method combines neural networks with the knowledge of bladed disk dynamics mainly reflected in the following three features: the integration of the governing equations of a mistuned bladed disk in the network architecture, the selection of the input and output according to the frequency independence of the response, and the data augmentation using the cyclic characteristic of bladed disks. Moreover, a dataset construction strategy is proposed that the use of datasets with high variance of mistuning can speed up model convergence and improve accuracy. Finally, a PINN-SMBD model for a dummy bladed disk is built by using only 30 samples which demonstrates remarkable accuracy.

Research on the Resource-Allocation-Optimization Strategy for Offshore Wind Power Construction Considering Complex Influencing Factors

The construction process of offshore wind farms involves multiple complexities, which is very complex to be scheduled manually, and the coordinating and optimized scheduling not only decreases project construction costs but also increases the construction speed. The impact of meteorological conditions on offshore wind power construction has been considered, and optimizing resource-allocation strategies under complex influencing factors has been analyzed. Then, a comprehensive strategy optimization index system is developed, which includes key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. Additionally, an offshore wind power resource-allocation-optimization model is formulated based on discrete event simulation (DES). A statistical analysis of each optimization index was performed using this model to assess the impact of resource-allocation strategies. The simulation results demonstrate that the model can not only simulate the construction process of offshore wind farms and monitor the state of wind turbines, personnel, and meteorological conditions in real time but also accurately calculate key indicators, such as the minimum working hours, resource-allocation-optimization rate, window period utilization rate, and cost–benefit ratio. This strategy effectively enhances resource-allocation efficiency during the wind farm installation phase and improves the overall construction process efficiency.

Metal-Catalyzed Hydrogen Atom Transfer (MHAT) Hydroalkylation with Electron-Deficient Alkynes.

We present a novel strategy for olefin construction via the reductive coupling of electron-neutral alkenes with electron-deficient alkynes under metal-catalyzed hydrogen atom transfer conditions. This methodology provides selective access to both trans and the more challenging-to-synthesize cis isomers and permits the olefin to be installed next to sterically hindered centers, key factors in the synthesis of biologically active compounds. The reaction exhibits broad functional group tolerance and proceeds under mild, nontoxic conditions with high atom efficiency.

MoS2/ZnS heterostructure cathode with intralayer regulation for eco-friendly, degradable zinc-ion batteries

Zinc-ion batteries (ZIBs) feature low cost and environmental friendliness and provide a promising solution to the escalating challenge of troublesome Li-ion battery waste streams. However, strong electrostatic interaction between Zn2+ and layered-structure materials and the introduction binders and conductive agents results in limited ion diffusion and charge-transfer kinetics. Herein, we reported an in-situ construction strategy of MoS2/ZnS heterostructure cathode materials for high-performance ZIBs. The generated built-in electric field and interface reaction sites effectively reduce the mitigation energy barrier of Zn2+, thereby enhancing electrochemical transport and reaction kinetics. Theoretical calculations demonstrate that heterostructure reduces the Zn2+ diffusion barrier along the ab-plane and activates c-axial transport for Zn2+. The MoS2/ZnS heterostructure electrodes can deliver a high specific capacity (337 mAh/g at 0.05 A/g, 2.12 mAh cm−2 at 1 mA cm−2) and ultra-long cycling stability (87.3 % capacity retention after 10,000 cycles at 10 A/g). Systematic investigations confirm the fast diffusion kinetics of Zn2+ and additional H+ storage processes. As a proof-of-concept, the constructed MoS2/ZnS quasi-solid-state ZIBs can operate normally in a liquid environment and degrade completely, as well as environmentally friendly, with almost no adverse impact on the soil microecosystem after being discarded.

Comparison of support strategies for grid construction after failure of renewable energy power generation system

As the proportion of renewable energy generation continues to rise, the study of voltage source converter (VSC) control has become a focal point of research. The concepts of emulating the characteristics of synchronous machines have led to the proposals of droop control and virtual synchronous control (VSG). However, a deeper comparison of the control characteristics of these two methods is still needed, particularly in terms of their ability to support the system when partial power sources experience fault conditions. This paper analyzes and compares the two in terms of control principles and small-signal modeling, and finally, based on a nine-bus system with 100% renewable energy generation, two scenarios are designed: a sudden load increase and a partial power source disconnection. The differences in control characteristics between the two are compared and analyzed. The results indicate that the VSG exhibits greater damping compared to droop control and is capable of providing inertial support to the system, making its frequency and voltage less susceptible to change.

Communication and Strategy Work: How corporate magazines shape strategy

While research has become increasingly receptive to the construction of strategy in dedicated forms of strategy communication – such as managerial speeches or strategic plans – little work has looked at how strategy is constructed in more broadly focused communicative media, such as corporate magazines. By analysing over 500 magazine issues from six different firms, this article reveals three fundamental mechanisms by which corporate magazines shape strategy: (i) familiarization – or shaping strategy by connecting it to the everyday; (ii) confirmation – or shaping strategy by aligning it with standing norms and expectations; and (iii) regeneration – or shaping strategy by advancing it through ongoing cycles of creation and destruction. In doing so, this article makes three specific contributions. First, by highlighting how corporate magazines construct strategy through a reconciliation of different narrations, narrators and narrative contexts, it extends earlier research’s emphasis on senior leadership with insights into the more collective sensemaking processes underlying strategy development. Second, by unveiling how corporate magazines often draw on affective expressions that humanize strategy within organizational life, it enriches our predominantly rational take on strategy-making with a more pronounced understanding of the role of emotions. Finally, by showing how corporate magazines progressively tie an organization’s strategy to ongoing developments and occurrences, it expands earlier work’s emphasis on grand and singular strategy communication with a reappreciation of the small and iterative – demonstrating how firms’ successful conception of tomorrow is often based on their developing understanding of today.

Biomimetic Materials to Fabricate Artificial Cells.

As the foundation of life, a cell is generally considered an advanced microreactor with a complicated structure and function. Undeniably, this fascinating complexity motivates scientists to try to extricate themselves from natural living matter and work toward rebuilding artificial cells in vitro. Driven by synthetic biology and bionic technology, the research of artificial cells has gradually become a subclass. It is not only held import in many disciplines but also of great interest in its synthesis. Therefore, in this review, we have reviewed the development of cell and bionic strategies and focused on the efforts of bottom-up strategies in artificial cell construction. Different from starting with existing living organisms, we have also discussed the construction of artificial cells based on biomimetic materials, from simple cell scaffolds to multiple compartment systems, from the construction of functional modules to the simulation of crucial metabolism behaviors, or even to the biomimetic of communication networks. All of them could represent an exciting advance in the field. In addition, we will make a rough analysis of the bottlenecks in this field. Meanwhile, the future development of this field has been prospecting. This review may bridge the gap between materials engineering and life sciences, forming a theoretical basis for developing various life-inspired assembly materials.