Static Process Research Articles

ESG Disclosure Model and Financial Performance: ThThe Mediating Role of Leader Exemplarity in Sustainable Organizations

The purpose of this research is to investigate how implementing Environmental, Social, and Governance (ESG) in a planned, measured, and sustainable manner might improve the performance of the OJK in Indonesia. A quantitative technique is used in this associative research. The quantitative approach focuses on the numerical measurement of study variables and data analysis using static processes and systematic modelling to investigate parts, phenomena, and relationships. From the beginning to the end, this quantitative research method is specific and well-planned. In environmental, social and governance (ESG) performance was found to be positively correlated with financial success among companies included in the Jakarta Islamic Index Indonesia (JII). Although the leadership quality of companies listed on JII is positively correlated with environmental and social performance, this quality is not significantly correlated with governance performance. The presence of the leadership variable as a variable that moderates ESG disclosure on enhancing firm financial performance as evaluated by the capped free float index or the weight of company shares listed on the Jakarta Islamic Index is novel in this study.

Exploration of the intermolecular isoproturon–bovine serum albumin combination: Biophysical and computational prospects

Isoproturon (IPU), a selective systemic herbicide that is frequently applied to eradicate large-leaved weeds and annual grasses in agricultural fields. However, the accumulation of IPU residues during food production might negatively affect on human and animal health. To comprehend the impact of IPU on the mankind and environment, the interaction analysis of IPU with plasma protein is crucial. This work used a variety of techniques, including fluorescence, UV–vis absorption, computational docking and dynamics simulation to extensively examine the combination of IPU with bovine serum albumin (BSA) under typical physiological settings. IPU quenched the BSA fluorescence and form the IPU–BSA complex through a static process. A weak binding affinity was anticipated (binding constant = 4.68–2.48 × 103 M−1) for IPU–BSA interaction. Thermodynamic results revealed that the IPU–BSA binding reaction was a spontaneous process, predominantly governed by hydrogen bonds, van der Waals and hydrophobic forces, which was well supported by molecular docking analysis. Synchronous and three-dimensional fluorescence spectral results exhibited microenvironmental fluctuations near the protein’s Trp and Tyr residues with added IPU, but inclusion of IPU to BSA was observed to enhance the protein’s thermal constancy. Site marker displacement results demonstrated that IPU desirably binds to BSA at site II. An in silico findings also unveiled the primary binding arrangement of IPU was placed at site II of BSA and surrounded by hydrophobic and polar residues. Molecular dynamics simulation results suggested the IPU–BSA complex persisted compact and stable.

Decoding the intermolecular recognition mode of a potent anticancer drug, abiraterone with human serum albumin: Assessments through spectroscopic and computational techniques

Abiraterone (ABR) is an FDA-approved anticancer drug that possesses repressing properties against the progression of advanced prostate cancer. The combination of bioactive molecules with proteins in blood circulation is the primary determinant of their potential therapeutic effectiveness. Therefore, the interaction characteristics of ABR with the leading carrier protein, human serum albumin (HSA) was evaluated using multi-spectroscopic and computational techniques. The obtained results showed enhancement of HSA fluorescence upon ABR addition through a static process, and affirmed the complexation between ABR and HSA. Whereas a moderate binding strength in ABR–HSA complexation was manifested, the complex was predicted to be stabilized through hydrophobic interactions, van der Waals forces and hydrogen bonding. Inclusion of ABR to HSA appreciably guarded temperature-induced destabilization of the protein, however, it altered the encompassing medium near Trp and Tyr residues of HSA. ABR was detected to favor binding at subdomain IIIA (Sudlow's site II) of HSA and the constancy of the ABR–HSA complex was revealed.

Investigation on the inhibition mechanism and binding behavior of cryptolepine to α-glucosidase and its hypoglycemic activity by multi-spectroscopic method

Cryptolepine, one important active ingredient of Cryptolepis sanguinolenta (Lour), exhibits various beneficial pharmacological activities. But its anti-α-glucosidase and hypoglycemic activities are still not cleared. Thence, in this study, we investigated its inhibitory effects on α-glucosidase by a multi-spectroscopic method and in vivo hypoglycemic activity by the oral glucose tolerance test (OGTT). The results showed that cryptolepine is a reversible mixed-type α-glucosidase inhibitor with IC50 value of 0.44 ± 0.05 mM, ∼ 2-fold stronger than positive control acarbose (IC50: 0.72 ± 0.02 mM). Fluorescence quenching confirmed cryptolepine could quench the endogenous fluorescence of α-glucosidase in a static process. Fluorescence quenching, synchronous fluorescence, CD spectra, and 3D fluorescence results showed that the binding of cryptolepine with α-glucosidase caused chromophore microenvironment and conformation changes of α-glucosidase, consequently inhibiting its catalytic activity. Molecular docking revealed the detailed binding interactions between cryptolepine and α-glucosidase. Furthermore, oral administration of cryptolepine could improve the glucose tolerance in mice to reduce the postprandial hyperglycemia. These findings provide a solid foundation for understanding the inhibitory effects on α-glucosidase and hypoglycemic activity of cryptolepine.

Prevalence of depression and anxiety in Colombia: What happened during Covid-19 pandemic?

The COVID-19 pandemic has impacted the well-being of millions of people around the globe. The evidence has shown that during the COVID-19 pandemic, the mental health of the population was affected, which means that there is an extra demand to implement different actions to mitigate and treat mental health disorders result of the pandemic. According to the literature it was expected that the prevalence of mental health disorders, such as anxiety and depression increased by 25 per cent worldwide, and Colombia was not the exception. However, there is not clear evidence on how much this increase might be. This study aims to estimate the prevalence of anxiety and depression for female and male adolescents and adults in Colombia before and during the COVID-19 pandemic. It estimated the potential increase of the prevalence in each group as a result of the COVID-19 pandemic in 2020. We used the Individual Registry of Health Services Delivery data from 2015-2021 to estimate the observed prevalence of anxiety and depression in Colombia for female and male adults. In addition, using the National Mental Health Survey 2015, we simulated the prevalence of anxiety and depression for adolescents (12 to 17 years) and adults (18 or older) in 2015 and using a static Monte Carlo simulation process we estimated the expected prevalence of depression and anxiety for each group from 2016 to 2021. The results of the analysis using revealed an important increase in the observed prevalence of depression and anxiety for adults and adolescents and men and women between 2015 and February 2020. When we simulated different scenarios using as a base line the National Mental Health Survey and estimated the prevalence of depression and anxiety for female and male adults and adolescents, we found that the prevalence of depression and anxiety has had an important increase in the last five years for all groups and had an important increase during 2020. This increase was greater for women compared to men, and adolescents than adults. Our results show the number of people who need potential attention from the health system in Colombia and highlight the importance to think about how to avoid and detect potential cases of anxiety and depression especially in female adolescents.

Multimodal Distillation Pre-training Model for Ultrasound Dynamic Images Annotation.

With the development of medical technology, ultrasonography has become an important diagnostic method in doctors' clinical work. However, compared with the static medical image processing work such as CT, MRI, etc., which has more research bases, ultrasonography is a dynamic medical image similar to video, which is captured and generated by a real-time moving probe, so how to deal with the video data in the medical field and cross modal extraction of the textual semantics in the medical video is a difficult problem that needs to be researched. For this reason, this paper proposes a pre-training model of multimodal distillation and fusion coding for processing the semantic relationship between ultrasound dynamic Images and text. Firstly, by designing the fusion encoder, the visual geometric features of tissues and organs in ultrasound dynamic images, the overall visual appearance descriptive features and the named entity linguistic features are fused to form a unified visual-linguistic feature, so that the model obtains richer visual, linguistic cues aggregation and alignment ability. Then, the pre-training model is augmented by multimodal knowledge distillation to improve the learning ability of the model. The final experimental results on multiple datasets show that the multimodal distillation pre-training model generally improves the fusion ability of various types of features in ultrasound dynamic images, and realizes the automated and accurate annotation of ultrasound dynamic images.

Inhibitory effect and mechanism of tannic acid against two starch digestive enzymes

Abstract Backgrounds Tannic acid (TA), as a plant-derived phenolic substance, is involved in regulating the activity of starch digestive enzymes, but its underlying mechanism remains unclear. Methods and Results In the present study, inhibition rate and inhibition kinetics assays were performed and confirmed that TA had a strong inhibitory effect on both α-amylase and α-glucosidase with IC50 values of 0.1585 mg/mL and 0.00542 mg/mL, respectively, through a mixed inhibition mode. The secondary structures of both enzymes were confirmed to be modified by TA through circular dichroism (CD) spectra. Fluorescence quenching analysis revealed that the interaction between TA and two enzymes was a static process of pontaneous complex formation. Finally, molecular docking revealed that non-covalent bonds were the main interaction forces between TA and both enzymes. Conclusions Thus, TA was a promising candidate for the inhibition of starch-digesting enzymes, and the present research provided insight into postprandial glucose regulation through polyphenols.

A Predictive Control Model of Bernoulli Production Line with Rework Loop for Real-Time WIP Optimization in Permutation Flowshop

Permutation flowshop design and optimization are crucial in industry as they have a direct impact on production scheduling and efficiency. The ultimate goal is to model the production system (PSM) based on revealing the fundamental principles of the production process, and to schedule or reschedule production release plans in real time without interrupting work-in-progress (WIP). Most existing PSMs are focused on static production processes which fail to describe the dynamic relationships between machines and buffers. Therefore, this paper establishes a PSM to characterize both the static and transient behaviors of automatic and manual machines in the permutation flowshop manufacturing system. Building upon the established PSM, based on Bernoulli’s theory, discrete event model predictive control is proposed in this paper; its aim is to realize real-time optimization of production release plans without interfering with work-in-progress. According to the results of numerical examples, the discrete event model predictive control proposed in this paper is feasible and effective. The model established in this paper provides a theoretical basis for optimizing the effective operation of work-in-progress and replacement process systems.

Evaluation of Changes in the Quality of Life Using the U22 Questionnaire after Cavotricuspid Isthmus Ablation

Abstract. Atrial tachyarrhythmias are the most common forms of heart rhythm disorders. According to literature sources, isolated atrial flutter (AFL) is observed in 88 people per 100,000 population. Most quality-of-life assessment methods have been developed and used primarily to assess atrial fibrillation. In this context, the U22 questionnaire becomes a significant protocol aimed at quantifying paroxysmal symptoms associated with tachyarrhythmias.
 The aim. To evaluate changes in the quality of life in patients with typical AFL after radiofrequency ablation (RFA) and bidirectional conduction block through the cavotricuspid isthmus.
 Materials and methods. The study is based on the analysis of the results of the treatment of a group of 135 patients at the National Amosov Institute of Cardiovascular Surgery of the National Academy of Medical Sciences of Ukraine in the period from 2014 to 2021. The patients had three follow-up examinations, which were subject to analysis and static processing: before RFA (n=135), after 1 month (n=122) and after 1 year (n=81). All the patients were interviewed concerning their arrhythmia-related symptoms, which were assessed according to the U22 protocol.
 Results. Before the procedure, the patients noted a low level of well-being (4.3±1.0 points). During the follow-up visit 1 month after RFA, the patients rated their general condition during this period at 8.9±0.7 points. The registered changes were statistically significant compared to the initial state (p<0.0001). Thus, the radical elimination of AFL led to rapid improvement in the psycho-emotional and physical condition of the patients as early as within 1 month. Similar changes were observed during the assessment after 1 year, when the patients assessed their condition at 9.3±0.7 points (p<0.0001); there was statistically significant difference compared to the initial condition and the results at the first follow-up examination. These results confirm the stability of the positive trend during the medium-term follow-up.
 Conclusions. The U22 questionnaire found symptomatic improvement in patients undergoing RFA of cavotricuspid isthmus. The U22 questionnaire can be considered as another, additional control tool for patients who underwent RFA. The peculiarity of its application is the specificity of the assessment of paroxysmal symptoms and complaints, which are specifically related to rhythm disturbances, and the possibility of a simple analysis of the dynamics for a long time after the intervention.

Static friction measurement methodology for the assessment of performance of industrial valves at high temperatures: Case study for a nickel-based alloy coating

High static friction between functional surfaces poses a serious challenge for industrial valves, particularly for those used in the advanced ultra-supercritical power generation industry that requires raising the steam temperature to 760 °C. In this context, we established the static friction measurement methodology by evaluating the effects of temperature, loading time, and number of static cycles on the evolution of the static coefficient of friction up to 800 °C. This methodology was applied on a nickel-based solid lubricant coating that appears an attractive candidate to withstand very harsh environments. The tribological behavior is explained in terms of a competition of three mechanisms governing the static friction processes: micro-welding or sintering of asperities, creep of asperities, and formation of lubricious oxides.

Minor groove binding of antihistamine drug bilastine with calf thymus DNA: A molecular perspective with thermodynamics using experimental and theoretical methods

Molecular recognition which are driven by molecular interactions, is of great interest in drug discovery and targeted drug delivery systems since drugs exhibit their medicinal characteristics when it interacts with target biomolecules. Deoxyribose nucleic acid (DNA) is one of the primary targets for many therapeutic drugs and understanding them at the molecular level is at the forefront of active research. Bilastine (BLS) is one of the commercially available heterocyclic compounds with a benzimidazole nucleus used in the treatment of chronic urticaria and recurrent allergic rhinoconjunctivitis. Various biophysical methods have been employed for the investigation of binding interaction studies between BLS and ct-DNA. UV–Visible and fluorescence spectral studies revealed the interaction between BLS and DNA. UV-Visible studies suggested a binding constant of 1.17±0.2 ×105 M−1. ct-DNA quenched the fluorescence of BLS, and the quenching was found to involve static and dynamic processes. From fluorescence studies, the binding constants were found to be 1.17±0.2×105, 1.65±0.3×105, 2.01±0.3×105 at 298, 303, and 308 K respectively. The interaction was spontaneous in nature with negative ∆G0 values and hydrophobic force was the major driving force with positive ∆H0 (41.54 ±2.5KJ mol−1) and ∆S0 (236.63±3.1J mol−1 K−1) values. Site marker displacement using ethidium bromide, and Hoechst along with viscosity measurement, DNA melting studies confirmed the binding of BLS in the minor-groove of ct-DNA. The minor-groove binding was further supported by studies with KI. Effect of NaCl on the binding revealed an insignificant role of electrostatic interactions. DNA conformational changes were not observed from circular dichroism (CD) studies. Molecular docking studies corroborated the experimental results showing the location of BLS in the minor groove of ct-DNA.

Vibration suppression control for AMB system based on static learning process and feedforward current compensation

Vibration suppression control for AMB system based on static learning process and feedforward current compensation

Quantifying Levels of Influence and Causal Responsibility in Dynamic Decision Making Events

Intelligent systems support human operators’ decision-making processes, many of which are dynamic and involve temporal changes in the decision-related parameters. As we increasingly depend on automation, it becomes imperative to understand and quantify its influence on the operator’s decisions and to evaluate its implications for the human’s causal responsibility for outcomes. Past studies proposed a model for human responsibility in static decision-making processes involving intelligent systems. We present a model for dynamic, non-stationary decision-making events based on the concept of causation strength. We apply it to a test case of a dynamic binary categorization decision. The results show that for automation to influence humans significantly, it must have high detection sensitivity. However, this condition is insufficient since it is unlikely that automation, irrespective of its sensitivity, will sway humans with high detection sensitivity away from their original position. Specific combinations of automation and human detection sensitivities are required for automation to have a major influence. Moreover, the automation influence and the human causal responsibility that can be derived from it are sensitive to possible changes in the human’s detection capabilities due to fatigue or other factors, creating a “Responsibility Cliff.” This should be considered during system design and when policies and regulations are defined. This model constitutes a basis for further analyses of complex events in which human and automation sensitivity levels change over time and for evaluating human involvement in such events.

Calculations of static and dynamic processes in the synchronizing shaft of a medium-voltage vacuum switch during the turn-on process

An important direction of theoretical research of modern electrical devices, medium voltage switches and contactors is the study of mechanical processes that occur during their operation. First of all, this is due to sufficiently large forces and accelerations acting on the structural elements and the synchronizing shaft of such devices in the process of switching on. In the article, on the basis of developed mathematical models, calculations of mechanical processes in the synchronizing shaft of a vacuum switch in static and dynamic mode for an absolutely rigid and real shaft are performed and their comparative analysis is carried out. The results of computer modeling are obtained in tabular and graphical forms, which include data on static and dynamic deformations of the shaft, as well as mechanical forces in its supports. It is shown that the mechanical deformation of the shaft causes a decrease in contact drop and contact pressure forces, but with a correctly selected cross-section of the synchronizing shaft, these values slightly affect the operation of the switch itself (the decrease is about 20% and 7%, respectively). It is also shown that as a result of the bending of the shaft, additional axial forces appear in the supports compared to the simplified calculation, which significantly affect the choice of bearings according to the equivalent static load. The calculated dynamic forces, taking into account the masses of contacts and contact rods, exceed similar static forces by 1.3 times, which must also be taken into account when choosing bearings in which the synchronizing shaft is held.

GPS signal jamming effect in Svalbard Island and its elimination by using GLONASS, Galileo and Beidou satellites

The Svalbard Islands are located in the Arctic Ocean, halfway between Norway and the North Pole. Because of this, the Svalbard Islands exhibit a number of special properties that make it an interesting region for studying interactions between the atmosphere, sea ice, and ocean. In this study, satellite signals of three points (NABG, NYA2 and NYAL) on the island of Svalbard in the Barents Sea were examined. On January 8, 2022, signal jamming effects appeared at all three points. From these two points (NYA2, NYAL), it was obvious that GLONASS, Galileo and Beidou satellites were also recorded in the receivers as well as GPS satellites. For this reason, the effect of the jamming effect on the GPS signals on the position accuracy was investigated using both static and kinematic methods. In addition, both static and kinematic processing at these two points was performed with GLONASS-Galileo-Beidou satellite combinations in order to eliminate the GPS jamming effect. Although the GPS jamming effect is not obtained in large values ​​in the static process, when only GPS satellites are used in the kinematic process, it reaches approximately 5 meters as the maximum horizontal coordinate difference. The maximum height difference recorded was approximately 15 meters. The difference in coordinates between the kinematic and static processes, as determined through the use of GLONASS, Galileo, and Beidou satellites, was around 5 cm. However, in terms of height values, it reached up to about 10 cm. In the Svalbard Islands, when GPS signals are exposed to interference, satisfactory results were obtained by using GLONASS-Galileo-Beidou satellites.

Research on hysteretic performance of a semi-rigid energy dissipation connection for precast cladding panels

A novel semi-rigid energy dissipation connection (SEDC), capable of transitioning the precast cladding panel from a rigid connection to a flexible connection with the primary structure as the seismic action increases, is proposed in the present study. The combination of the bending part and friction part endows the connection with the ability to provide adjustable sliding force and sufficient energy dissipation for the precast cladding panel. The design methods of SEDC, including the elastic stiffness, the yield force, the yield displacement, and the bear capacity, are proposed, followed by a coordinated design method between the precast cladding panels and the primary structure based on SEDC. Fourteen SEDC specimens are designed and tested under monotonic and cyclic loading tests to investigate the semi-rigid workability of SEDC and to evaluate the influence of design parameters of the bending and friction parts. Two working processes, which are the static friction process and the sliding friction process, are clearly reflected by the monotonic test results. The cyclic test results indicate that the SEDC specimens demonstrate satisfactory plastic development with full hysteretic curves, stable load capacity, reliable deformation ability, and favorable energy dissipation ability. The U-shaped bending plates exhibited a track-like deformation pattern without any observed tears or cracks. The NAO friction pads demonstrated a fragmented damage pattern, while the Brass friction pads demonstrated a linear scratch damage pattern. SEDC specimens equipped with Brass friction pads exhibited better low-cycle fatigue performance, which can be attributed to the favorable wear resistance of the Brass material. In addition, finite models of SEDCs are established and validated based on Abaqus. The combined working mechanism of SEDC, including the contribution ratio of load capacity and dissipated energy from the bending part and the friction part, is clearly revealed. Furthermore, the influence of parameters including the thickness (t), width (B), straight section length (l), radius (R), and height (h) of the bending part, as well as the pre-tightening force (pc) and the friction coefficient (f) of the friction part, are also summarized based on both the experimental and numerical analyses. Further discussions, including the calculation of the seismic behavior factor and the measurements for accurate construction, are conducted.

Exploring the interaction of tepotinib with calf thymus DNA using molecular dynamics simulation and multispectroscopic techniques

In recent times, there has been a surge in the discovery of drugs that directly interact with DNA, influencing gene expression. As a result, understanding how biomolecules interact with DNA has become a major area of research. One such drug is Tepotinib (TPT), an FDA-approved anti-cancer medication known as a MET tyrosine kinase inhibitor, used in chemotherapy for metastatic non-small cell lung cancer (NSCLC) with MET exon 14 skipping alterations. In our study, we adopted both biophysical and in-silico methods to investigate the binding relationship of TPT and ctDNA. The absorption spectra of ctDNA exhibited a hypochromic effect when titrated with TPT and the binding constant of TPT–ctDNA complex was calculated, Ka = 9.91 × 104 M−1. By computing bimolecular enhancement constant (KB) and thermodynamic enhancement constant (KD) in fluorometric investigations, it was found that the fluorescence enhancement is a result of a static process involving the ctDNA-TPT complex formation in the ground state, as opposed to a dynamic process. The displacement assay results further supported this finding, showing that TPT exhibits a binding preference for minor groove of ct-DNA and was also demonstrated by KI quenching and CD spectroscopy. The molecular docking and molecular dynamic simulations validated TPT's groove binding nature and binding pattern with ctDNA, respectively. Thus, the results of our present investigation offer valuable insights into the interaction between TPT and ctDNA. It is evident that TPT, as an anti-cancer medication, binds to the minor groove of ctDNA.

Preparation of Microcrystalline Cellulose-Derived Carbon Dots as a Sensor for Fe3+ Detection

In this article, nitrogen-doped carbon dots (N-CDs) were prepared by a hydrothermal method using microcrystalline cellulose as the carbon source and polyethylenimine as the nitrogen source. The ratio of microcrystalline cellulose to polyethylenimine added exerted a great influence on the fluorescence quantum yield of N-CDs. The fluorescence intensity of N-CDs 2 was significantly affected by the solvent type and pH value, but not influenced by the time of irradiation with the UV lamp. Intriguingly, N-CDs 2 could be applied to temperature sensing (30~70 °C). With the addition of Fe3+ (20 ppm), the fluorescence of N-CDs 2 was greatly quenched, and the quenching rate reached 82.84%. The fluorescence intensity of N-CDs 2 showed a good linear relationship (R2 = 0.995) with Fe3+ concentrations (0~14 ppm), and they achieved a limit of detection of 0.21 ppm. In addition, N-CDs 2 could also effectively detect Fe3+ in real water samples, showing a good recovery rate (98.25%~102.75%) and low relative standard deviation (less than 3%). According to the fluorescence lifetime data, the fluorescence quenching of N-CDs by Fe3+ might be a static process.

Fatigue response of open hole plates: A finite element simulation investigating the influence of dynamic and static cold expansion processes

Cold Expansion (CE) techniques are extensively used in the aeronautical industry to enhance the fatigue life of open-hole plates. However, the availability of accurate Finite Element (FE) models to simulate the fatigue behavior of this process, particularly Dynamic Cold Expansion (DCE), is limited. This study introduces two novel methods for predicting the fatigue response of DCE and Static Cold Expansion (SCE) open-hole plates. The first method directly estimates the total fatigue life using Continuum Damage Mechanics (CDM) and the Theory of Critical Distance (TCD). The second method separates the prediction of fatigue crack initiation life and propagation life, incorporating CDM, TCD, and the Extended Finite Element Method (XFEM). Moreover, FE models are developed to simulate residual stress, stress under external cyclic loads, and fatigue crack propagation behavior for both DCE and SCE specimens. The proposed methods are evaluated, compared, and the mechanisms behind fatigue life enhancement and fatigue crack propagation modes in CE specimens are discussed. It is found that the prediction accuracy is enhanced by considering stress distributions along the thickness direction and improving the Line Method (LM) in TCD through the introduction of a novel CE parameter. The results demonstrate that both methods achieve good predictive performance, with an average error index within ±30%. Furthermore, it is observed that both DCE and SCE processes primarily improve the fatigue crack initiation life of open-hole plates, with the percentage of crack initiation fatigue life increasing as the expansion size increases. The majority of the fatigue crack propagation life in CE specimens is concentrated in the initial stages of crack propagation. In addition, the effects of DCE and SCE processes on reducing the fatigue crack propagation rate are more pronounced along the thickness direction compared to the width direction, leading to distinct crack propagation modes between CE and non-cold expansion (NCE) specimens.

Kirigami pattern design for buckling-induced assembly 3D structures via topology optimization

Complex three-dimensional (3D) mesostructures are attracting an increasing interest due to their wide applications in microelectronics, biomedicine and other fields. A buckling-induced 3D structure can be assembled by buckling of a 2D plane precursor rapidly and precisely at low cost. However, the inverse design problem of finding 2D precursor configurations corresponding to the predetermined 3D mesostructures has not been well solved yet. In the present work, an inverse method is developed for buckling-induced assembly 3D structure design. Unlike the existing methods, the Moving Morphable Void (MMV) -based topology optimization approach is adopted for driving the inverse design. The voids in MMV are defined as kirigami cuts on the 2D precursor with explicit geometry parameters to generate complex buckling deformation. To cope with the costly non-linear optimization, the Equivalent Static Loads (ESL) method is incorporated, with which the non-linear optimization process can be transformed into a linear static optimization process. Therefore, the layout of the pattern of cuts is sought on the 2D precursor with linear sensitivity calculation. Some self-assembly numerical examples demonstrate the effectiveness and efficiency of the proposed approach.