Negative Direction Research Articles

The Impact of Coping Styles on the Mental Health of Outstanding Physical Education Students in Shanghai During the Normalization Epidemic: The Chain Mediation Role of Meaning in Life and Prosocial Behavior.

The continuous spread of the epidemic has inflicted serious harm upon individual's mental well-being, and effective coping mechanisms are associated with positive mental health outcomes. Prosocial behavior and a sense of meaning in life can enhance individuals' subjective well-being, which can subsequently positively impact their mental health. Thus, in the context of epidemic prevention and control, this study investigates the relationship between the meaning in life, prosocial behavior, and coping styles of outstanding physical education students and the impact on their mental health. The study involved a questionnaire survey on 498 outstanding physical education students, consisting of 297 boys (mean age = 13.16) and 201 girls (mean age = 12.87 years). Subsequently, the data was analyzed using the mediating effect and Bootstrap tests. The coping style positively predicted the meaning in life (β=0.294) and prosocial behavior (β=0.293). Conversely, mental health was predicted in a negative direction (β=-0.494). Mental health negatively predicted prosocial behavior (β=-0.810), although prosocial behavior positively predicted meaning in life (β=0.644). Finally, prosocial behavior negatively predicted mental health (β=-0.513). Additionally, the interplay between prosocial behavior and meaning in life is established in terms of both the individual and chain mediating roles. This study demonstrates that coping styles during a normalized epidemic prevention and control situation directly impact the mental health of Shanghai's outstanding physical education students. Additionally, these coping styles indirectly influence mental health through the mediating effects of meaning in life and prosocial behaviors. Furthermore, meaning in life and prosocial behaviors act as chain mediators in this relationship.

Artificial intelligence warm-start approach: optimizing the generalization capability of QAOA in complex energy landscapes

To address the issue of the quantum approximate optimization algorithm frequently encountering local minima and the cost of parameter optimization within complex non-convex optimization energy landscapes, we consider a warm-start method. This approach leverages the characteristics of transition states in the enhanced optimizer, specifically descending along unique negative curvature directions, to find smaller local minima. Our research results indicate that with the assistance of an enhanced pre-training structure of the AlphaZero AI model, the initialization generalization ability of the new optimizer is significantly enhanced across various test sets. We train on 2-SAT training sets with clause densities between α ≈ 2.6 and α ≈ 2.89, and transfer to more complex test sets. Additionally, the average residual energy density in transfer learning consistently remains below 0.01, even achieving a high transfer success probability of 98% in hard instances with α ≈ 3.7. The search efficiency, pre-trained by ensemble learning, was significantly enhanced, while only requiring simple interpolation of a few transition points to transfer on the global optimal solutions at higher sample clause densities.

Adaptive fault-tolerant control for attitude maneuvering under attitude constraints and finite sequential actuator faults

The problem of retargeting rigid body attitude with attitude constraints has been extensively investigated, whereas the challenge persists in maneuvering rigid-body attitude with multiple concurrent attitude constraints and finite sequential actuator faults. Finite sequential actuator faults, which can reduce controllability or destabilize the system, necessitate the implementation of fault-tolerant control strategies. Therefore, this paper aims to address the issue of redirecting spacecraft attitude subject to multiple attitude constraints and finite sequential actuator faults comprehensively. Firstly, we represent spacecraft attitude using unit quaternions and employ an artificial potential function to effectively handle multi-attitude constraints. The negative gradient direction guides the rigid-body spacecraft towards seamless convergence with the desired attitude. Our proposed unwinding strategy effectively avoids unwinding phenomena during large-angle spacecraft reorientation as well. Additionally, we design an adaptive compensation strategy for finite sequential actuator faults that enables real-time calculation of the fault compensation matrix under such actuator faults. Importantly, we propose an improved adaptive fault-tolerant back-stepping controller integrated with a potential function that effectively addresses both attitude constraints and finite sequential actuator faults simultaneously. Subsequently, stability analysis is conducted on the proposed controller to ensure its stability in practical applications rigorously. Finally, numerical simulations are performed meticulously to demonstrate the effectiveness and robustness of our proposed controller.

Assessment of climate change induced rainfall trend and variability with non-parametric and linear approach for Sirajganj district, Bangladesh

The monthly and annual trends and variance of rainfall have been studied for five stations in an economically important Bangladeshi district named Sirajganj since 1965 to 2021. Natural disasters have prevalent in Sirajganj which is indispensable to assess. But, several researchers have been normally focused on river bank management and flood risk assessment. However, no extensive research has been conducted on Sirajganj based on non-normally distributed time series meteorological data such as rainfall time series so the current study is very important. In this study, the non-parametric Mann-Kendall and Sen's methods have been used to determine the statistical significance of a positive or negative trend in rainfall data. Also, cumulative sum charts and bootstrapping, one-way ANOVA, Tukey's range tests, and linear regression have been used to discover the incidence of abrupt changes, compare the significant difference in monthly and annual rainfall data, multiple comparisons amidst mentioned stations to find changes, and to investigate the changeover on dry and rainy days, respectively. The analysis showed a statistically significant decreasing trends in monthly and annual rainfall series. As well, changes from positive to negative direction have been recognized in the February, May, July, September, and annual rainfall time sequence. Besides, ANOVA and Tukey's range tests revealed a statistically substantial difference in all monthly and annual rainfall volume excluding January, March, and June. Additionally, these two tests demonstrated momentous differences in all monthly and annual frequency of rainfall categories excepting January and April. However, Linear regression analysis revealed that the number of dry days gradually reduced at the end of the dry winter, though the number of rainy days decreased during the rainy season. As in, the number of rainy days replaces the number of dry days during the dry season and vice versa during the rainy season. Even though, with very few exceptions, the volume of rainfall decreases throughout the year. The outcomes of this research might helpful for implementing the planning and evaluating hydrological projects on Sirajganj district.

A STUDY ON THE VOLATILITY SPILLOVER BETWEEN NIGERIAN AND BRICS ECONOMIES USING MULTIVARIATE GARCH MODELS

BRIC-African relation has been of interest to key stakeholders especially given the inclusion of South Africa. In the existing literature some researchers hypothesized inclusion of Nigeria will accelerate BRICS objective of enhancing market access to ensure rapid economic growth among other objectives. This study utilized daily exchange rates of Naira/Dollar together with BRICS Dollar exchange rate for a period of 18 years. The study aimed to determine the volatility spillover between Nigerian and BRICS nations via Multivariate GARCH family: VECH, DBEKK and CCC Models. The result of VECH and DBEKK Models showed that all parameters were significant at 5% level, indicating clearly that there is positive impact of Exchange Rate shocks of Nigeria on the Exchange Rate Volatility of the BRICS economies, while for the CCC model only one parameter was significant at 5% level. This clearly indicated the existence of positive impacts of Exchange rates shocks of Nigeria on the Exchange Rate Volatility of the BRICS economies. On the other hand, only VECH model was able to capture the volatility spillover (own and cross) both on negative direction, suggesting a causal relationship between past volatility shocks in Nigeria and current volatility in the BRICS economies. Conclusively based on the information above VECH model was found to be appropriate to capture the volatility spillover between Nigerian exchange rate and that of the BRICS nations.

Electro-fluid-dynamics (EFD) of soft-bodied organisms swimming through mucus having dilatant, viscous, and pseudo-plastic properties

The sperm propelling mechanism has been proposed as a possible resource for soft micro-robots in confined spaces, with potential applications in biomedical engineering. Human sperm cells essentially swim through the non-Newtonian liquid (cervical mucus) to reach their target. Thus, sperm cells swimming through non-Newtonian fluids is not vital only for physiology, but also for the fabrication of swimming micro-robots. Inspired by these remarkable applications, we examine the basic mechanics of spermatozoa motility using an undulating sheet model. This undulating sheet is bounded between two rigid walls which is self-propeling in the negative axial direction. The liquid around the spermatozoa is taken as Carreau fluid with electro-osmotic properties. The application of the lubrication approximation results in the reduction of momentum equations. The resulting ODE is solved numerically via the finite difference method and MATLAB’s built-in routine bvp5c. The unknowns that are present in the boundary conditions are refined by the root-finding algorithm. Power losses, cell speed, flow rate, velocity of the fluid, and streamline pattern are visualized by graphs. The findings of this study have important implications for the designing and optimization of electrically controlled microswimmers.

A novel chaos control method based on conjugate direction and adaptive step size

The Hasofer-Lind-Rackwitz-Fiessler method (HL-RF method) with the negative gradient direction as the iteration direction often oscillates or even does not converge during the iteration process due to the unreasonable control of the negative gradient direction. This greatly reduces the convergence and robustness of the HL-RF method. Chaos control method (CC method) is also a method with negative gradient direction as the iterative direction. However, in order to alleviate the oscillation problem caused by unreasonable control of negative gradient direction, it introduces a smaller iterative step size in the iterative process. Because its iterative step size is a fixed small value, the iterative efficiency of the CC method is not high. In view of the above problems, in order to reduce the iterative oscillation phenomenon and increase the iterative efficiency at the same time, it proposes a novel chaos control method based on conjugate direction and adaptive step size (CDCC method). Firstly, it uses the conjugate direction instead of the negative gradient direction, so as to fundamentally avoid the problem that the negative gradient direction is easy to cause oscillation. It effectively increases the convergence and robustness of the method. Secondly, it uses iteration information to adaptively control the iteration step size, increasing the computational efficiency of the method effectively. In addition, it also discusses the optimal value of the modification coefficient in the adaptive step size control. Finally, eight examples are given to show that the proposed method has obvious advantages in computational efficiency, convergence and robustness.

THE INFLUENCE OF INSTITUTIONAL OWNERSHIP, LEVERAGE, AND FINANCIAL DISTRESS ON TAX AGGRESSIVENESS

This study was inspired to look at the factors that influence the practice of tax aggressiveness seen in financial factors and corporate governance. The research was then developed by proving other factors that strengthen the importance of the company's information breadth in eliciting a response from the market that can affect the level of tax aggressiveness, namely financial distress. The object of this research is companies in the Real Estate & Property Services Sector listed on the Indonesia Stock Exchange (IDX) during the 2019–2022 period. The samples taken from this study were taken using the purposive sampling method, which resulted in a total of 15 companies for 4 years. The results of research on institutional ownership, leverage, and financial distress on tax aggressiveness can be concluded that institutional ownership and leverage have no effect on tax aggressiveness, while financial distress affects tax aggressiveness with a negative coefficient direction, proving empirically that when companies face financial difficulties, their top priorities tend to maintain liquidity and meet urgent financial obligations.

Color discrimination repetition distorts color representations

Perceptual learning is the improvement of perceptual performance after repeated practice on a perceptual task. Studies on perceptual learning in color vision are limited. In this study, we measured the impact of color discrimination repetitions at a specific base color on color perception for entire hues. Participants performed five sessions of color discrimination training (200 or 300 trials per session) over five days, at colors on either the negative or positive direction of the L-M color axis, based on group assignment. We administered three color perception assessments (unique hues, color category boundaries, and color appearance) before and after the sessions to evaluate perceptual changes after training. The results showed declines in color discrimination thresholds after training, as expected. Additionally, the training influenced outcomes across all three assessment types. After the training, the perceived color appearance changed near the trained color along the stimulus hue, and some of the unique hues and the color category boundaries moved significantly toward the trained color. These findings indicate that short-term repetitions of color discrimination training can alter color representations in the visual system, distorting color perception around the trained color.

A fast-running physics-based wake model for a semi-infinite wind farm

This paper presents a new generation of fast-running physics-based models to predict the wake of a semi-infinite wind farm, extending infinitely in the lateral direction but with finite size in the streamwise direction. The assumption of a semi-infinite wind farm enables concurrent solving of the laterally averaged momentum equations in both streamwise and spanwise directions. The developed model captures important physical phenomena such as vertical top-down transport of energy into the farm, variable wake recovery rate due to the farm-generated turbulence and also wake deflection due to turbine yaw misalignment and Coriolis force. Of special note is the model's capability to predict and shed light on the counteracting effect of Coriolis force causing wake deflections in both positive and negative directions. Moreover, the impact of wind farm layout configuration on the flow distribution is modelled through a parameter called the local deficit coefficient. Model predictions were validated against large-eddy simulations extending up to 45 km downstream of wind farms. Detailed analyses were performed to study the impacts of various factors such as incoming turbulence, wind farm size, inter-turbine spacing and wind farm layout on the farm wake.

The Need for an Alternative Health Claim Process for Foods Based on Both Nutrient and Contaminant Profiles

Most authorized health claims on foods have been established on the basis of single dietary components, mainly micronutrients, such as vitamins, minerals, and possibly bioactives. Failure to sufficiently define and characterize the nutritional profile of a food product is one of the main reasons for rejection or incomplete status for thousands of health claim applications, whereas the food’s contaminant profile is simply not accounted for. The objective of this work was to highlight the accumulating scientific evidence supporting a reform of the health claim evaluation process for foods toward more holistic approaches. This would entail the characterization of multiple nutrient-contaminant pairs and contaminant mixture profiles at contaminant levels currently considered “safe,” including their interactions that would impact human health outcome(s) in a net positive or negative direction. The notion of a stable nutritional profile in food commodities has been challenged by studies reporting a variable food contaminant content and a declining content of proteins/micronutrients in crops due to anthropogenic greenhouse gas emissions. A holistic approach in the health claim process for foods would entail the incorporation of cumulative risk assessment and/or risk-benefit protocols that effectively combine health risks and benefits associated with multiple nutritional and contaminant attributes of the food/diet under evaluation.

Low temperature (210 °C) fabrication of Ge MOS capacitor and controllability of its flatband voltage

Germanium (Ge) and germanium tin (GeSn) are strong candidate materials for novel electronic device such as spin MOS field-effect transistor (FET) or flexible devices. A high-quality insulating layer on Ge(Sn) should be formed at low temperatures to realize these applications. In this study, we fabricated a Ge MOS capacitor (CAP) and n-MOSFET with a SiO2/GeO2 gate dielectric using an electron cyclotron resonance plasma process and subsequent post-deposition annealing at a low temperature of 210 °C. The MOSCAPs show the typical electrical characteristics without significant degradation compared with the samples fabricated at a higher temperature of 450 °C. The n-MOSFET shows distinct output characteristics with clear saturation behavior and high current drivability. From the flatband voltage comparison among different annealing temperatures, high-temperature annealing induces the interface dipole formation in the gate insulator, significantly shifting flatband voltage to a negative direction. X-ray photoelectron spectroscopy analysis suggests that the origin of the interface dipole is oxygen atom movement at a SiO2/GeO2 interface. This information will be an important guideline for fabricating a high-quality insulator on Ge(Sn) at low temperatures.

Cyclic behavior and shear strength of exterior reinforced concrete beam-column joints with inclined columns

The adoption of inclined columns results in inclined beam-column joints (BCJs). Although the behavior of regular BCJs have been widely investigated, researches on the cyclic behavior and shear strength of inclined BCJs are limited, and further investigations are required to ensure seismic safety of the frames adopting inclined columns. In this work, cyclic behavior of inclined BCJs was first experimentally studied by testing 3 exterior BCJ specimens. After that, a finite element model was developed and validated by the experimental results. The model was subsequently used for parametric study to reveal the effects of key parameters on the joint shear strength. In the end, a theoretical model based on the softened strut and tie model was proposed to estimate the joint shear strength of inclined BCJs. Results showed that the inclination caused an initial joint shear force under column axial load, leading to different joint behavior in positive and negative loading directions. The joint shear strength was increased in the inclination direction but declined in the other direction, while the ductility showed an opposite trend. Meanwhile, regardless of the inclination direction, energy dissipation and equivalent viscous damping of BCJs were reduced and stiffness degradation was slowed. The parametric study revealed that the inclination effect was amplified with higher inclinations. The overall joint shear strength can be effectively enhanced by adopting higher concrete strength and column axial load. Increasing the joint stirrup ratio was also beneficial for the shear strength, but its efficiency was relatively lower. Based on the comparison of the predicted joint shear strengths and those from experimental and numerical programs, it was proved that the modified strut and tie model was advantageous over the formulas in GB 50010 in capturing the shear strengths. This work contributes to understanding the cyclic behavior and shear strength of inclined BCJs to improve seismic safety of frames adopting inclined columns.

The protective effect of CALD identity in the presence of low income on missing teeth of Australian adults over time

Background‘Culturally And Linguistically Diverse (CALD)’ populations have diverse languages, ethnic backgrounds, societal structures and religions. CALD populations have not experienced the same oral health benefits as non-CALD groups in Australia. However, the socio-demographic profile of Australian CALD populations is changing. This study examined how household income modifies the oral health of CALD and non-CALD adults in Australia.MethodsData were from two National Surveys of Adult Oral Health (NSAOH) conducted in 2004-06 (NSAOH 2004-06) and 2017-18 (NSAOH 2017-18). The outcome was self-reported number of missing teeth. CALD status was identified based on English not the primary language spoken at home and country of birth not being Australia. Social disadvantage was defined by total annual household income. Effect-measure modification was used to verify differences on effect sizes per strata of CALD status and household income. The presence of modification was indicated by Relative Excess Risk due to Interactions (RERIs).ResultsA total of 14,123 participants took part in NSAOH 2004-06. The proportion identifying as CALD was 11.7% and 56.7% were in the low-income group, and the mean number of missing teeth was 6.9. A total of 15,731 participants took part in NSAOH 2017-18. The proportion identifying as CALD was 18.5% and 38.0% were in the low-income group, and the mean number of missing teeth was 6.2. In multivariable modelling, the mean ratio (MR) for CALD participants with low household income in 2004-06 was 2% lower than the MR among non-CALD participants with high household income, with the RERI being − 0.23. Non-CALD participants from lower income households had a higher risk of having a higher number of missing teeth than low income CALD individuals (MR = 1.66, 95%CI 1.57–1.74 vs. MR = 1.43 95%CI 1.34–1.52, respectively). In 2017-18, the MR for CALD participants with low household income was 3% lower than the MR among non-CALD participants with high household income, with the RERI being − 0.11. Low income CALD participants had a lower risk of missing teeth compared to their non-CALD counterparts (MR = 1.43, 95% CI 1.34–1.52 vs. MR = 1.57, 95% CI 1.50–1.64).ConclusionsThe negative RERI values indicate that the effect-measure modification operates in a negative direction, that is, there is a protective element to being CALD among low income groups with respect to mean number of missing teeth.

Dual‐input step‐up switched‐capacitor multilevel inverter with reduced voltage stress on devices

SummaryThis paper proposes a single‐phase dual‐input step‐up switched‐capacitor multilevel inverter that employs three capacitors, 15 switches, and two diodes to provide 13 voltage levels and triple‐voltage boosting factor in its symmetric form and 37 levels with voltage boosting factor of 3.6 in its asymmetric version. This high boosting factor is accomplished without utilizing any transformer. For each output voltage level, there exists flow paths for both the positive and negative load current directions, which makes the proposed inverter capable of supplying any load type with variety of power factors (zero to unity). The voltage balancing of the capacitors takes place naturally, which tackles the need to auxiliary charge‐balancing circuits or control mechanisms. The proposed inverter can generate negative levels without the end‐side H‐bridge. Moreover, the voltage stress on the semiconductor devices is less than the peak output voltage. The increased number of levels and sinusoidal‐like waveform of the output voltage waveform enhances the quality and lowers the harmonic content of the load voltage and current waveforms, even for resistive loads. As the result, the load‐side filter can be downsized or removed. This paper employs the fundamental frequency method (FFM) as the switching technique, which is simple to implement and also operates the switches at low frequencies, leading to lower switching losses. The ascendancy of proposed inverter over similar counterparts has been investigated through comprehensive comparative analysis. Moreover, the correct performance of the proposed inverter at different modulation indices, and load types as well as during dynamic load changes has been verified by simulation and experimental analysis.

Pengaruh Struktur Aktiva, Ukuran Perusahaan Dan Growth Opportunity Terhadap Struktur Modal Dengan Profitabilitas Sebagai Variabel Moderasi Pada Perusahaan Perbankan Yang Terdaftar Di Bei Tahun 2020-2022

This study aims to examine the effect of Asset Structure Policy, Firm Size and Growth Opportunity on Capital Structure with Profitability as a Moderating Variable. This research uses quantitative methods. The population used in this study uses banking companies listed on the Indonesia Stock Exchange for the 2020-2022 period using a sampling technique, namely purposive sampling of 69 samples based on predetermined criteria. The variables examined in this study are Asset Structure, Firm Size and Growth Opportunity which are independent variables, Capital Structure as the dependent variable and Profitability as a moderating variable. The research data were analyzed using Moderated Regression Analysis (MRA) using the SPSS Version 26 analysis tool. The results showed that 1) Asset Structure has a positive effect on Capital Structure, 2) Firm Size has a positive effect on Capital Structure, 3) Growth Opportunity has a positive effect on Capital Structure, 4) Asset Structure has no effect on Capital Structure with Profitability as a moderating variable and has negative direction, 5) Firm size has a positive effect on capital structure with profitability as a moderating variable, 6) Growth Opportunity has no effect on capital structure with profitability as a moderating variable but has a positive direction.

The Role of Institutional Ownership as A Moderating Variable in Determining Disclosure of Tax Avoidance (Mining Sector Companies 2018-2022)

The research objective is to determine how profitability, capital intensity, company size, and tax avoidance are influenced by institutional ownership. Sample for this research is 34 mining companies registered between 2018 and 2022 on the Indonesian Stock Exchange. Random effect model (REM) is the test model chosen, and panel regression data is tested using the Eviews12 program. The results of the profitability research have a significant positive result on tax avoidance. Capital intensity has no effect on tax avoidance. Meanwhile, business size has a significant effect on tax avoidance in a negative direction. Institutional ownership is unable to moderate profitability and capital intensity to prevent tax avoidance. However, institutional ownership is able to moderate company size on tax avoidance practices.

KONTRIBUSI ISLAMIC BANKING FINANCING AND VARIABLES MACRO ECONOMIC TERHADAP TINGKAT KEMISKINAN DI INDONESIA

Poverty is a global issue faced by many countries in the world, including Indonesia. The purpose of this study is to examine the level of poverty in Indonesia by measuring the financing of Islamic banking, education, health, TPAK and inflation against the level of poverty in Indonesia. The data source used is panel data obtained from the Central Bureau of Statistics (BPS) for the 2010-2020 period. Data analysis used panel data regression with Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM) Approach processed with E-Views 10. The results of this study indicate that the estimated model chosen in this study is Fixed The Effect Model shows the results of the Islamic Banking Financing, RLS, UHH, TPAK and Inflation variables that have a significant effect in a negative direction on the level of poverty for the RLS variable that has a simultaneous effect on the mission level while UHH has a significant effect in a negative direction. This means that if there are independent variables simultaneously, then the level of poverty in Indonesia is increasingly leading to change. Whereas in the simultaneous test the prob value of the F-Statistic is 0.000000 <0.05, which means that the five independent variables simultaneously influence the level of poverty in Indonesia. And the Adjusted R-Square value is 0.987540 which means that 90% of the Islamic Banking Financing, RLS, UHH, TPAK and Inflation variables in this study are able to explain the poverty rate variable in Indonesia. While the remaining 10% is explained by other variables outside the model.

Pengaruh Pengeluaran Pemerintah Sektor Kesehatan, Pengeluaran Makanan Perkapita, dan Rasio Ketergantungan Terhadap Indeks Pembangunan Manusia di Kabupaten Provinsi Lampung

The province of Lampung, strategically located on the island of Sumatra, is facing challenges in improving human development that have yet to meet desired expectations. Data indicates that the Human Development Index (HDI) there is still below the national average and that of Sumatra as a whole. The study was conducted in the 13 districts of Lampung Province during the period 2017-2022 using panel data regression with a Random Effect Model (REM). This research aims to investigate the Human Development Index (HDI) in the districts of Lampung Province, focusing on the dimensions of economics, education, and health. The objective of this study is to analyze the impact of government expenditure on the health sector, dependency ratio, and per capita food expenditure on the HDI. The results show that 1) Government expenditure in the health sector significantly contributes positively to improving the HDI in Lampung Province. Conversely, 2) per capita food expenditure has a significant negative impact, as does 3) the dependency ratio, which also significantly affects the HDI but in a negative direction. Therefore, further attention to these factors is expected to enhance human development in Lampung Province. This study provides deep insights into the challenges and opportunities faced by Lampung District in improving the welfare of its people, and it offers policy recommendations that can lead to inclusive and sustainable development in the future.

Social capital of disaster-affected communities in post-disaster conditions: A case study of the Cianjur Earthquake, West Java, Indonesia, 2022

This study explores the conditions of social capital on the survivors of the 2022 earthquake in Cianjur, Indonesia. Cibulakan Village, Cugenang Sub-district, Cianjur was chosen for this study because it was one of the most severely affected villages by the earthquake with the highest number of fatalities in Cianjur Regency. This study discusses three forms of social capital: bonding, bridging and linking and their conditions in Cibulakan Village after the earthquake. The research used a qualitative approach and method. The data analysis process uses an interactive analysis model by Miles which divides the steps of data analysis into several parts: data collection, data condensation through open coding, axial coding and selective coding, data display and conclusion. The results showed that the earthquake triggered changes in bonding, bridging and linking social capital in both positive and negative directions. Therefore, it is necessary to pay attention to the condition and role of social capital in post-disaster communities, given that some forms of social capital lead to positive post-disaster and can be utilized after a disaster. The government and other stakeholders should consider the role of social capital in disaster-affected communities during the emergency response and recovery process to support more sustainable recovery in communities.