Response Coefficients Research Articles

Hyperbranched Thermosensitive Polymer-AuNP Composite Probe for Temperature Colorimetric Detection

Temperature detection is particularly important in the medical and scientific fields. Although there are various temperature detection methods, most of them focus on broad temperature detection, and basic research in specific fields, especially the detection of subtle temperature changes (32–34 °C) during wound infection, is still insufficient. For this purpose, a novel colorimetric temperature sensing probe is designed in this paper, which can quickly and intuitively respond to small temperature changes within a specific range through color changes. In this paper, hyperbranched polyethyleneimine (HPEI) was modified by isobutyrylation to prepare hyperbranched temperature-sensitive polymer (HPEI-IBAm). And it was combined with gold nanoparticles (AuNPs) prepared by a sodium citrate reduction method to construct an HPEI-IBAm-AuNP colorimetric probe. The probe exhibits excellent stability, even at salt concentrations of up to 12 g/L, thanks to the abundant amino functional groups and the large steric hindrance effect unique to HPEI-IBAm. In particular, the temperature detection range of the probe is precisely locked within 32–34 °C, enabling it to respond quickly and accurately to small temperature changes of only 2 °C. This feature is perfectly suited to the practical needs of temperature detection in infected wounds. The linear fitting coefficient of the temperature response is as high as 0.9929, ensuring the accuracy of the test results. The detection performance of the probe remained highly consistent over 10 cycles, fully proving its excellent reusability and durability. In addition, a flexible colorimetric sensor was prepared by combining the probe with polydimethylsiloxane (PDMS) film. This sensor is capable of rapidly detecting human skin temperature in real time, achieving an accuracy of 99.07% to 100.61%. It can provide a possible solution to the challenges of delayed and difficult temperature detection caused by different body parts and uneven surfaces, among others. This demonstrates its extensive practical value and potential, and it is expected to be further applied in the monitoring of wound infections.

The effect of internal control on earnings response coefficient

The effect of internal control on earnings response coefficient

PENGARUH CORPORATE SOCIAL RESPONSIBILITY (CSR), FINANCIAL DISTRESS, CORPORATE’S GROWTH, DAN FIRM SIZE TERHADAP EARNINGS RESPONSE COEFFICIENT (ERC)

The purpose of this study is to determine the influence of corporate social responsibility (CSR), financial distress, corporate's growth and firm size on earnings response coefficient (ERC). The data analysis method used in this study is a quantitative method and uses panel data regression analysis techniques. The population in this study is manufacturing companies listed on the Indonesia Stock Exchange in 2015-2022. The results show that financial distress has an effect on earnings response coefficient (ERC), corporate social responsibility (CSR), corporate's growth, and firm size has no effect on earnings response coefficient (ERC).

Optimizing the Migratory Environment of Wildebeests in the Maasai Mara Reserve with a New Ecological Corridor and Customized Buffer Zone Model

Conflicts between wildlife and humans are a major ecological issue. During migration, wildlife, especially wildebeest, often encounter significant environmental pressures from human activities. However, relatively few studies have been conducted to provide a concise, quantitative description of wildebeest migration in the Maasai Mara National Reserve (MMNR). In this study, we identified changes in the location of the wildebeest population over time in the Maasai Mara National Reserve. We then used a K-means algorithm (R2 = 0.926) to fit coordinates representing the changes in the location of the wildebeests to enable a quantitative representation of their migration routes. Subsequently, we developed an environmental stress model to assess the changes in environmental stresses faced by wildebeests along their migration routes. We proposed a model of “migratory ecological corridors and customized buffer zones” and determined the response coefficient T_res. We used the response coefficients T_res = 0.06, 0.09, and 0.12 as the critical values to categorize the areas along the routes into weak, medium, and strong response regions. Then, we set the width of the buffer zones on both sides of the routes as 5 km, 7 km, and 9 km, respectively, and evaluated the buffer effect. This type of model achieved a good effect of reducing the environmental pressure by 54.06%. The “Migratory Ecological Corridor and Customized Buffer Zone” model demonstrated a high degree of economic feasibility while showing good practicality in mitigating the environmental conflicts between humans and migratory wildlife. The variability in the environmental pressures across the region indicates that the Nairobi and Nakuru districts may be undergoing a particular stage of urbanization that unleashes potential threats to the migration of wildebeests. Further research is essential to assess the feasibility of larger buffer zones.

Adaptive Variable Universe Fuzzy Droop Control Based on a Novel Multi-Strategy Harris Hawk Optimization Algorithm for a Direct Current Microgrid with Hybrid Energy Storage

In the off-grid photovoltaic DC microgrid, traditional droop control encounters challenges in effectively adjusting the droop coefficient in response to varying power fluctuation frequencies, which can be influenced by factors such as line impedance. This paper introduces a novel Multi-strategy Harris Hawk Optimization Algorithm (MHHO) that integrates variable universe fuzzy control theory with droop control to develop an adaptive variable universe fuzzy droop control strategy. The algorithm employs Fuch mapping to evenly distribute the initial population across the solution space and incorporates logarithmic spiral and improved adaptive weight strategies during both the exploration and exploitation phases, enhancing its ability to escape local optima. A comparative analysis against five classical meta-heuristic algorithms on the CEC2017 benchmarks demonstrates the superior performance of the proposed algorithm. Ultimately, the adaptive variable universe fuzzy droop control based on MHHO dynamically optimizes the droop coefficient to mitigate the negative impact of internal system factors and achieve a balanced power distribution between the battery and super-capacitor in the DC microgrid. Through MATLAB/Simulink simulations, it is demonstrated that the proposed adaptive variable universe fuzzy droop control strategy based on MHHO can limit the fluctuation range of bus voltage within ±0.75%, enhance the robustness and stability of the system, and optimize the charge and discharge performance of the energy storage unit.

The association between structural connectivity and anti-seizure medication response in patients with temporal lobe epilepsy.

This study aimed to investigate the differences in structural connectivity and glymphatic system function between patients with temporal lobe epilepsy (TLE) and hippocampal sclerosis (HS) and healthy controls. Additionally, we analyzed the association between structural connectivity, glymphatic system function, and antiseizure medication (ASM) response. We retrospectively enrolled patients with TLE and HS and healthy controls who underwent diffusion tensor imaging at our hospital. We assessed structural connectivity in patients with TLE and HS and healthy controls by calculating network measures using graph theory and evaluated glymphatic system function using the diffusion tensor image analysis along the perivascular space (DTI-ALPS) index. Patients with TLE and HS were categorized into two groups: ASM poor and good responders. We enrolled 55 patients with TLE and HS and 53 healthy controls. Of the 55 patients with TLE and HS, 39 were ASM poor responders, and 16 were ASM good responders. The assortativity coefficient in patients with TLE and HS was higher than that in healthy controls (0.004 vs. -0.007, p = 0.004), and the assortativity coefficient in ASM poor responders was lower than that in ASM good responders (-0.001 vs. -0.197, p = 0.003). The DTI-ALPS index in patients with TLE and HS was lower than that in healthy controls (1.403 vs. 1.709, p < 0.001); however, the DTI-ALPS index did not differ between ASM poor and good responders (1.411 vs. 1.385, p = 0.628). The DTI-ALPS index had a significant negative correlation with age in patients with TLE and HS (r = -0.267, p = 0.049). We confirmed increased assortativity coefficient in structural connectivity and decreased DTI-ALPS index in patients with TLE and HS compared with healthy controls. Additionally, we demonstrated an association between decreased assortativity coefficient in structural connectivity and ASM poor response in patients with TLE patients and HS. This study investigates the relationship between brain connectivity changes and glymphatic system function with antiseizure medication response in patients with temporal lobe epilepsy and hippocampal sclerosis. The research reveals that these patients show altered brain connectivity and glymphatic function compared to healthy individuals. A key finding is the strong link between a specific connectivity measure (assortativity coefficient) and antiseizure medication response, providing valuable insights that could influence epilepsy treatment and future research directions.

Improving the Performance of the Layered Nickel Manganese Oxide Cathode of Sodium-Ion Batteries by Direct Coating with Sodium Niobium Oxide.

This research highlights the efficacy of NaNbO3 as a coating for P2-Na2/3Ni1/3Mn2/3O2 cathodes in sodium-ion batteries. The coating enhances the kinetic behavior and cyclability of the electrochemical cells, as shown by electrochemical measurements. XRD analysis indicates that Nb does not incorporate into the cathode structure, implying a physical interaction between the coating and the cathode material. XRF analysis and EDX mapping confirm the actual composition and uniform dispersion of elements throughout the sample, while the electron micrographs evidence the occurrence of NaNbO3 particles modifying the surface of the layered oxide. The Ni4+/Ni3+ and Ni3+/Ni2+ redox pairs, along with the partially reversible oxidation of oxide to peroxide anions, contribute significantly to cell capacity, as revealed by XPS spectra. This last effect and the appearance of a co-intercalated phase at high voltage are positive factors to provide fast kinetics. Cyclic voltammograms show that samples coated with 2-3% NaNbO3 have superior rate capability, with high capacitive response and apparent diffusion coefficients. These samples also have low impedance at the electrode-electrolyte interface, which helps deliver a high capacity at 5C. Further cycling at 1C shows improved cyclability in the bare and 3% coated samples, due to their higher diffusion coefficients on charging. Notably, the 3% NaNbO3-coated sample exhibits excellent cyclability below 0 °C, making it a promising cathode material for sodium-ion batteries.

Does increased monitoring enhance the credibility of financial reports? Evidence of auditing semi‐annual financial statements

AbstractDue to several financial scandals of Taiwan‐listed foreign firms (known as KY firms), the Taiwan Financial Supervisory Commission requires KY firms to disclose audited semi‐annual financial statements, which were reviewed before. Using the event study, we find higher cumulative abnormal returns for KY firms around the regulation announcement, suggesting the market's positive attitude towards the increase in the assurance level of semi‐annual financial statements. In addition, we apply a difference‐in‐differences test and find the improvement in earnings response coefficients, showing the market's increased perception of audit quality. Our findings should be of interest to regulators, practitioners, and researchers.

Residence time density (RTd) identification through deconvolution of finite time horizon input output data and its Application to a novel analytical dispersion process RTd model

This work presents first an approach to the identification of Residence Time density (RTd) and Residence Time Distribution (RTD) functions, through deconvolution of finite time horizon, input/output data generated by a zero-order hold input, using the novel concept of zero-order hold, average, impulse response coefficients. Subsequently, a novel RTd analytical expression is derived for an open-open axial dispersion process with a finite experimental section in a tube of infinite length, and an explanation is provided for this RTd model’s differences from the literature. This new RTd expression is then employed in two case studies to demonstrate the effectiveness of the proposed identification through a deconvolution conceptual framework in identifying RTd model parameters, and in assisting in the selection of RTd models which are compatible with experimental data.

Implementing Superresolution of Nonstationary Tides with Wavelets: An Introduction to CWT_Multi

Abstract Tides are often nonstationary due to nonastronomical influences. Investigating variable tidal properties implies a trade-off between separating adjacent frequencies (using long analysis windows) and resolving their time variations (short analysis windows). Previous continuous wavelet transform (CWT) tidal methods resolved tidal species. Here, we present CWT_Multi, a MATLAB code that 1) uses CWT linearity (via the “response coefficient method”) to implement superresolution, i.e., resolving tidal constituents beyond the Rayleigh criterion; 2) provides a Munk–Hasselmann constituent selection criterion appropriate for superresolution; and 3) introduces an objective, time-variable form of inference (“dynamic inference”) based on time-varying data properties. CWT_Multi resolves tidal species on time scales of days, and multiple constituents per species with fortnightly filters. It outputs astronomical phase lags and admittances, analyzes multiple records, and provides power spectra of the signal(s), residual(s), and reconstruction(s); confidence limits; and signal-to-noise ratios. Artificial data and water levels from the Lower Columbia River Estuary (LCRE) and San Francisco Bay Delta (SFBD) are used to test CWT_Multi and compare it to harmonic analysis programs NS_Tide and UTide. CWT_Multi provides superior reconstruction, detiding, dynamic analysis utility, and time resolution of constituents (but with broader confidence limits). Dynamic inference resolves closely spaced constituents (like K1, S1, and P1) on fortnightly time scales, quantifying impacts of diel power peaking (with a 24-h period, like S1) on water levels in the LCRE. CWT_Multi also helps quantify the impacts of high flows and a salt barrier closing on tidal properties in the SFBD. On the other hand, CWT_Multi does not excel at prediction, and results depend on analysis details, as for any method applied to nonstationary data. Significance Statement Ocean tides, especially in coastal and estuarine systems, are often nonstationary, in the sense that the mean and standard deviation of tidal properties vary over time, usually in response to some nontidal process. We introduce here a MATLAB code, CWT_Multi, that uses wavelet transforms to resolve both tidal species and constituents on time scales from a few days to months. Our code accommodates multiple scalar time series and has typical tidal analysis features like constituent selection and inference, plus two forms of uncertainty analyses. It is flexible, allowing the user to adapt analysis properties to diverse datasets. CWT_Multi is applicable to many problems involving time-variable tides, including sea level rise, compound flooding, sediment transport, and wetland habitat analyses. Application to vector data is a straightforward extension, but further development of our uncertainty analysis is merited. Because nonstationary tidal analysis is rapidly advancing, we also define the features of a “well-formed” analysis code.

Multispectral two-dimensional temperature field reconstruction using particle swarm optimization and the Broyden–Fletcher–Goldfarb–Shanno algorithm with multiple extreme value optimization

The flame temperature is a crucial parameter in combustion, indicating heat generation and transfer. However, determining the correct temperature becomes challenging when flame emissivity is unknown. This article presents a multispectral 2D temperature field reconstruction method using particle swarm optimization and the Broyden–Fletcher–Goldfarb–Shanno algorithm, combined with multivariate extreme-value optimization. This method establishes an objective function based on the correlation between the true temperature and spectral data. The objective function was minimized by adjusting the emissivity, enabling the reconstruction of 2D temperature and emissivity images without assuming an emissivity model. Calibration with a multispectral camera yielded the spectral response coefficients, and three-time spline interpolation was used to verify the calibration data. The reconstructed 2D temperature field showed a mean absolute error (MAE) of 4.61 and structural similarity (SSIM) of 0.995. The reconstructed emissivity image had an MAE range of 0.04 to 0.053 and an SSIM range of 0.897 to 0.915. The system, tested on a butane flame, showed a temperature range of 1001 K to 1356 K, with an average temperature of 1194 K and emissivity values ranging from 0.3166 to 0.8621. The results align with the expected combustion process and radiation characteristics distribution of the butane flame.

The impact of educational programmes on building safety culture in modern society

Safety culture is an important element in the development of human thinking before making decisions in emergency situations. The aim of the study is to determine the specifics of the impact of educational programmes on building safety culture in modern society. The authors achieved the aim of the study by employing of the method of analysis, the Likert scale, the impact ratio calculations, the criterion of psychological training, the response coefficient, the J. Phillips’ correlation coefficient. The study determined that it is necessary to take into account the development of psychological stability, the impact of possible risks for building a safety culture. It is also necessary to ensure consideration of simulated situations for identifying response mechanisms. The study established that the influence of educational programmes on building safety culture is related to the development of logical thinking. The practical significance of the work consists in determining the mechanisms that have the greatest impact on the possibility of forming a safety culture in the educational process. The research prospects will be related to the comparison of the effectiveness of the proposed mechanisms during the management of emergency situations in the context of martial law and the influence of adverse weather conditions.

Decoding The Impact: How Corporate Structure And Size Influence Earning Response Coefficient

The purpose of this research is to determine how much influence the capital structure and company size have on the earning response coefficient both size of the company on the earning response coefficient either partially or simultaneously on the Computer and Device Services Companies Listed on the Indonesia Stock Exchange for the period of 2020-2022.The research methods used in this research are descriptive methods and associative methods. In this research, the unit of analysis is the Financial Statement Document at the Computer and Device Services Company Financial Report Documents on Computer and Device Services Companies Listed on the Indonesia Stock Exchange for the period 2020-2022. The samples in this study were 36 annual financial reports annual. The analysis method uses panel data regression analysis. Based on the results showed that partially there is a significant positive effect of capital structure on earning response coefficient, and partially there is a significant positive effect of capital structure on earnings re capital structure on earning response coefficient, and partially there is a significant positive effect on earning response coefficient. significant effect of company size on earning response coefficient, and simultaneously there is an effect of capital structure and company size on earning response coefficient.

Frequency response coefficient optimal allocation strategy for multi-stacks alkaline water electrolyzer plant

Currently, power discrepancies between stacks are often overlooked when developing frequency response (FR) strategies for multi-stack alkaline water electrolyzer plants (AWEPs), which limits the full utilization of the plant’s FR potential. To address this issue, this paper introduces a stack-level FR coefficient allocation strategy aimed at minimizing post-contingency frequency deviation. Specifically, the quantitative relationship between the operating power of alkaline water electrolyzer (AWE) stacks and steady-state frequency deviation is first derived, followed by the formulation of an optimal FR problem. The solution to this problem is an FR strategy based on the principle of equal frequency deviation, which optimally allocates FR coefficients among AWE stacks according to their operating power, thereby maximizing the plant’s FR support capacity. Equivalent circuit model-based case study demonstrates that, compared to existing strategies, the proposed approach achieves a more balanced power distribution among the stacks during the FR process. This even power allocation not only reduces post-contingency frequency deviation but also enhances productivity and streamlines production management in the AWEP, thereby increasing the plant owner’s willingness to participate in FR. Specifically, the proposed strategy results in a 29.3% reduction in post-contingency frequency deviation, a 1.8% improvement in production efficiency under a 10 MW power imbalance, a 2.3% increase in hydrogen production rate under a 4 MW power imbalance, and more stable operation under a 16 MW power imbalance.

The Impact of Sustainability Reporting on the Earnings Response Coefficient of the Iraqi-Listed Companies

This study examines the impact of sustainability reporting on the Earnings Response Coefficient (ERC) of companies listed on the Iraq Stock Exchange. The ERC reflects the effect of unexpected earnings on stock returns, and sustainability reporting is expected to enhance company legitimacy and trust, potentially increasing the ERC. Despite the growing importance of sustainability practices, there is limited research on their influence on the ERC in emerging markets like Iraq. Using data from 33 firms from 2012-2022 and employing multiple linear regression with panel data analysis, the results indicate that Iraqi companies experience only slight improvements in ERC through sustainability reporting. These findings suggest that sustainability reporting can enhance a company's reputation and legitimacy, contributing to increased ERC. The study highlights the need for policymakers to strengthen sustainability reporting requirements and provides insights for investors seeking to optimize portfolios based on corporate sustainability compliance.

Mandatory audit partner rotation and earnings informativeness in the bond market

AbstractThis study finds that mandatory rotation of engagement partners results in more positive earnings response coefficient (ERC) in the years immediately following rotation than in the years that are not. Further analysis reveals that the positive association is driven by firms that announce bad earnings news and for bonds with longer maturity terms. Furthermore, such positive association is stronger when the incoming engagement partner has more industry expertise than the leaving partner, when the audit firm is a non–Big 6 auditor, and when the client firm is small. Finally, the relationship does not exist for voluntary partner rotation.

Pengaruh Growth Opportunities, Konservatisme Akuntansi dan Ukuran Perusahaan terhadap Earnings Response Coefficient

This research aims to analyze the influence of growth opportunities, accounting conservatism, and company size on the earnings response coefficient. The sample for this research is mining companies listed on the Indonesia Stock Exchange (BEI), totaling 18 companies during the 2018-2022 period. Data was taken from the company's financial reports using a purposive sampling method. The classical assumption tests used consist of Data Normality Test, Multicollinearity Test, Heteroscedasticity Test, and Autocorrelation Test. Meanwhile, the types of hypothesis testing used are the T Test (partial), F Test (simultaneous), and Determination Coefficient Test (R2) with multiple linear regression analysis. The research results show that growth opportunity and accounting conservatism have no effect on the earnings response coefficient, while company size has a negative effect on the earnings response coefficient.

Chain mediating effect of gratitude and meaning in life between nurses’ psychological response and emergency capability-a multicenter cross-sectional study

BackgroundClinical nurses face high-pressure situations requiring rapid decision-making and skilled intervention, impacting their psychological responses and emergency capabilities. Understanding the relationships between psychological factors like gratitude and meaning in life is crucial for improving nurses’ performance in emergencies. This study explores the mediating role of gratitude and meaning in life in the impact of psychological responses on clinical nurses’ emergency capabilities, aiming to enhance their effectiveness in such situations.MethodsThis study is a multi-center cross-sectional survey. A questionnaire survey was conducted among 1833 clinical nurses in five tertiary hospitals in Anhui Province, China including general information questionnaire, nurses’ emergency capability scale, Meaning in life scale, Gratitude scale and Psychological response questionnaire. According to the results of the questionnaire survey, a chain mediating model was constructed and tested.ResultsThe total score of emergency capability of 1833 clinical nurses was (71.65 ± 10.77), the total score of meaning in life was (50.67 ± 9.04), the total score of gratitude was (30.96 ± 3.57), and the total score of psychological response was 13.00 (6.00, 20.00). The emergency capability of subjects was positively correlated with the meaning in life, the total score of gratitude scale and the scores of each dimension of the two scales, and negatively correlated with the total score of psychological response scale and each dimension of this scale (all P < 0.05). The total effect coefficient, direct effect coefficient and indirect effect coefficient of psychological response on nurses’ emergency capability are − 0.230, -0.110 and − 0.120 respectively, that is, the indirect effect accounts for 52.17% of the total effect. Among the indirect effects, the specific mediating effects of gratitude and meaning in life account for 22.50% and 62.50% respectively, and the chain mediating effects of gratitude and meaning in life account for 15.00%.ConclusionGratitude and meaning in life have multiple mediating roles in the mechanism of psychological response that affecting clinical nurses’ emergency capability. Therefore, it is very important to pay attention to dynamically evaluating the psychological response level of clinical nurses, and strive to improve their gratitude and meaning in life, so as to further enhance their emergency response ability.

Health-related quality of life and caregiver burden of pediatric patients with inborn errors of metabolism in Japan using EQ-5D-Y, PedsQL, and J-ZBI.

Inborn errors of metabolism (IEM) are known with poor long-term health concerns; however, the health-related quality of life (HRQoL) and the burden placed on families remain unclear. This study investigated the self- and proxy-reported HRQoL of pediatric patients with IEM with or without developmental disabilities and the burden placed on their caregivers. Patients with IEM aged 8-15years and their caregivers were asked to respond to the Pediatric Quality of Life Inventory (PedsQL), EuroQoL five-dimension questionnaire for younger populations (EQ-5D-Y), and Japanese version of the Zarit Caregiver Burden Interview (J-ZBI). We compared EQ-5D-Y scores with matched EQ-5D-Y population norms. Intraclass correlation coefficients (ICC) for self and proxy HRQoL scores of those without developmental disabilities were calculated. Correlation coefficients of HRQoL proxy responses with J-ZBI score were estimated. We included 66 patients with IEM (mean age, 11.5years; males, 41.2%) in the study. The mean (± standard deviation) EQ-5D-Y scores without and with developmental disabilities were 0.957 (± 0.071) and 0.821 (± 0.175), respectively. The EQ-5D-Y scores significantly increased compared with the reference values (p < 0.01, effect size = 0.337). The ICC values were 0.331 and 0.477 for the EQ-5D-Y and PedsQL scores, respectively. HRQoL proxy scores had strong negative correlations with J-ZBI scores. The HRQoL of patients with IEM without developmental disabilities in our study was similar to that of the general Japanese population. The HRQoL of patients with IEM with developmental disabilities was low and associated with a tendency towards an increased burden of care.

CEO Pay Cuts and Investors’ Perceptions of Earnings Quality

SYNOPSIS The pay of a CEO is often cut in poorly performing firms to prod the CEO to work harder and restore profitability. Using earnings response coefficients (ERCs) as a proxy for investor perceptions of earnings quality, we find that ERCs decline following CEO pay cuts. Furthermore, firms with weaker oversight mechanisms and those subject to higher credibility concerns have a greater decline in ERCs following CEO pay cuts. We also offer weak evidence that credit rating agencies might perceive CEO pay cuts as impairing earnings quality. Our results suggest that pay cuts incentivize CEOs to boost earnings in the short run, and investors might perceive reported earnings as more likely to be opportunistic and of lower quality. A key implication of our study is that it provides evidence to support that the market views a CEO’s pay-cut status as vital information in appraising the earnings quality of a firm. Data Availability: The data that support the findings of this study are available from author Ting-Kai Chou upon request. JEL Classifications: G34; M41; M52.