Miracle-dz/UniFAR-FTUs huggingface dataset:
Audit committee’s chairman characteristics and auditor choice: an empirical evidence from Malaysia ACE market

Abstract Audit quality is a strong external monitoring mechanism to protect the interest of the owners according to agency theory. The auditor choice research has paid more attention to the audit committee overall but has overlooked the unique agency context of audit committee’s chairman characteristics on the audit quality especially on auditor choice. Therefore, the purpose of this study is to investigate the audit committee’s chairman characteristics on the auditor choice. The sample of 111 firms listed on the ACE market was used to test the hypotheses. Using logistic regression, this study finds that only the audit committee’s chairman tenure and busyness are significant factors that influence the auditor choice. Whereas, the audit committee’s chairman ethnicity, expertise and qualification have no significant influence on the auditor choice. These results have theoretical implications for the alignment and entrenchment hypotheses of the agency theory and practical implications for the regulators to improve the audit committee’s structure and regulations.
The development of geometry learning using traditional dance context assisted by GeoGebra

Research related to crazy bamboo dance, a traditional dance from Maluku and North Maluku, is still oriented towards cultural studies and has not been integrated into mathematics learning. On the other hand, the use of GeoGebra classrooms in previous research mainly refers to the influence on mathematics learning, so there is still a lack of development research based on GeoGebra classrooms that are integrated with cultures such as crazy bamboo dances. The purpose of this study is to produce learning tools in the form of a learning implementation plan (LIP), teaching materials (TM), and student worksheets (SW). In this case, the context of crazy bamboo dance is more focused on the dance medium, namely bamboo, to study tube material. The development model used is a 4D modified model from Thiagarajan. The results of this study produced an RME-based learning tool in the context of crazy bamboo dance assisted by GeoGebra classrooms that are valid, practical, and effective. In addition, the products produced can be used in geometry learning by teachers and students. Still, through this research, teachers can design and develop ethnomathematics-based learning tools by integrating them with the available mathematics software, one of which is Geogebra Classroom.
Food Safety Governance in the Age of COVID-19: How Does Employees’ Attitude on Public-Private Governance System Affect Their Willingness to Blow the Whistle on Food Violations?

Online food delivery increases dramatically during the COVID-19 era and has grown into a global marketplace worth more than $150 billion dollars, necessitating a more effective and responsive governance system. Public-private governance systems with whistleblowing to the public are seen as an effective tool for addressing the formidable challenges of food security in modern society. Accordingly, this study aims to explore the determinants of whistleblowing intentions and to propose policy policies for the whistleblowing system to fully utilize the advantages of public-private governance systems. Through empirical research, this paper finds that employees’ perceived effectiveness of government authorities, as well as their familiarity with whistleblowing systems, positively affect their intentions to blow the whistle. However, the whistleblowing intent of restaurant employees is adversely affected by the online platform’s focus. The root cause lies in the employee’s trust in both the government sector and corporate sector. This study thus argues that a suite of measures to promote individual trust in public-private governance systems is desired and that this is an effective means of better mitigating food safety governance challenges in terms of capacity and resources.
Barriers of health equity in the Iranian health system from the medical ethics viewpoint

In order to lessen health inequalities, the obstacles to health equity will need to be identified. This study aimed at investigating the barriers to access to health-care services from the medical ethics point of view. Data were collected through a qualitative study by performing semi-structured interviews. Purposive sampling was used to recruit participants involved in health provision and/or management. Content analysis was done using MAXQDA software. Overall, 30 interviews were conducted. The content analysis of the interviews identified two themes including “micro factors” and “macro factors”, five sub-themes including “cultural, financial, geographical, social and religious barriers”, and 44 codes. Based on our findings, differences in individuals’ perceptions, cultural control, religious beliefs and social stigmas create cultural barriers. Financial barriers consist of the financial connection between service recipients and service providers, insurance premiums, and inadequate coverage of health-care services. The most important geographical barriers identified in our study were differences in urbanization, inequality in various geographical areas, marginalization, and inequality in resource distribution. Finally, differences in the level of income, education and occupational diversity were among the social barriers. Given the wide range of barriers to access to health-care services, a comprehensive plan covering various dimensions of health equity should be implemented. To this end, innovative and progressive strategies emphasizing the principles of equity and social equality should be developed.
Analysis of 1D-like photonic crystal microcavity sensor using surface plasmon resonance effect

In this paper, we have theoretically analyzed and designed a 1D PhC microcavity sensor with SPR based on the total internal reflection mirror using analytic calculation and FDTD methods. The proposed structure has many advantages. One of that is a high sensitivity using SPR characteristics. Another is a high Q-factor of the characteristics in the PhC microcavity structure. The incident light has double resonance characteristics, because the filtered light by PhC structure is met the thin metal film for SPR effect. We have also observed the change of resonance characteristics according to the variation of effective index on the metal film.
Finite-Time Adaptive NN Backstepping Dynamic Surface Control for Input-Delay Fractional-Order Nonlinear Systems

This article focuses on a finite-time adaptive dynamic surface control (DSC) approach for a kind of nonstrict fractional-order nonlinear systems (FONSs) with input delay. An auxiliary compensation function is presented by using the integral function of the input signal to handle input delay problem. To overcome the problem of inherent computational complexity, a fractional-order filter is applied to approach the virtual controller and its fractional-order derivative in each step of the backstepping procedure. By using backstepping technology and neural network (NN), the finite-time adaptive DSC approach is developed, and finite-time stability criteria based on fractional-order Lyapunov method are introduced to prove the finite-time convergence of the tracking error into a small region around the origin. The effectiveness of the presented control scheme is demonstrated by two examples.
Multiple Microgrids: A Review of Architectures and Operation and Control Strategies

Several issues of individual microgrids (MGs) such as voltage and frequency fluctuations mainly due to the intermittent nature of renewable energy sources’ (RESs) power production can be mitigated by interconnecting multiple MGs and forming a multi-microgrid (MMG) system. MMG systems improve the reliability and resiliency of power systems, increase RESs’ utilization, and provide cost-efficient power to the consumers. This paper provides a comprehensive review of the conducted studies in the MMG area summarizing different operational goals and constraints proposed in the literature for efficient operation of MMGs. Besides, different MMG architectures in which the MGs can be interconnected to form an MMG system and their characteristics are discussed. This paper also provides a state-of-the-art review on different control strategies and operation management methodologies for the operation and control of MMGs in centralized, decentralized, distributed, and hierarchical structures. A classification of different sources of uncertainties in an MMG system and proposed uncertainty handling strategies are also presented. Finally, the paper is complemented with a discussion of the main open issues and future research directions of MMG systems.
Real‐time scanning Hall probe microscopy

We describe a low‐noise scanning Hall probe microscope having unprecedented magnetic field sensitivity (∼2.9×10−8 T/√Hz at 77 K), high spatial resolution, (∼0.85 μm), and operating in real‐time (∼1 frame/s) for studying flux profiles at surfaces. A submicron Hall probe manufactured in a GaAs/AlGaAs two‐dimensional electron gas (2DEG) is scanned over the sample to measure the surface magnetic fields using conventional scanning tunneling microscopy positioning techniques. Flux penetration into a high Tc YBa2Cu3O7−δ thin film has been observed in real time at 85 K with single vortex resolution. Flux is seen to enter the film in the form of vortex bundles as well as single flux quanta, Φ0.
Probing tornadoes with a pulse doppler radar

Maximum tornado wind speeds and their radii are deduced by least square fitting of the vortex model velocity spectra to those measured with a pulse Doppler radar. Spectra are analysed from the Stillwater, Oklahoma, 13 June 1975, tornado. Simulated spectra are fitted to those measured for pulse volume gates nearest the vortex, and thus a tornado's position relative to those gates is estimated. Estimated maximum tangential velocity is 92ms−1 at an altitude of 630m and 85ms−1 at 1.5km; tornado diameter is 300m. the observed spectra have an asymmetry that suggests targets that are centrifuged outwards, with a velocity of 13ms−1. One spectrum analysed from the Union City, Oklahoma, 24 May 1974, tornado shows a bimodal shape similar to Stillwater spectra. Deduced maximum velocity is 72ms−1 and diameter 200 m.
Coronary Flow Velocity Reserve by Echocardiography: Beyond Atherosclerotic Disease

Coronary flow velocity reserve (CFVR) is defined as the ratio between coronary flow velocity during maximal hyperemia and coronary flow at rest. Gold-standard techniques to measure CFVR are either invasive or require radiation and are therefore inappropriate for large-scale adoption. More than 30 years ago, echocardiography was demonstrated to be a reliable tool to assess CFVR, and its field of application rapidly expanded. Although initially validated to assess the hemodynamic relevance of a coronary stenosis, CFVR by echocardiography was later used to investigate coronary microcirculation. Microvascular dysfunction was detected in many different conditions, ranging from organ transplantation to inflammatory disorders and from metabolic diseases to cardiomyopathies. Moreover, it has been proven that CFVR by echocardiography not only detects coronary microvascular involvement but is also an effective prognostic factor that allows a precise risk stratification of the patients. In this review, we will summarize the many applications of CFVR by echocardiography, focusing on the coronary involvement of systemic diseases.
Women Victims of Intimate Partner Violence and Intimate Partner Homicide: A Typology Based on Victimization Variables

ABSTRACT Intimate partner violence against women (IPVAW) and intimate partner homicide against women (IPHAW) are multidimensional phenomena. The aim of this study was to identify typologies of Spanish IPHAW and IPVAW victims, based on the differences between their characteristics and the determinants of aggression. The sample consisted of 381 cases from the Spanish Integral Monitoring System in Cases of Gender Violence. The instrument used was a semi-structured interview. Results showed differences between IPHAW and IPVAW victims, and latent class analysis suggested a three-profile solution: 1-fatal victims, with low neuroticism, low isolation, and feelings of loneliness, less reconciliation with the aggressor, lower perception of risk and low suicidal ideation; 2-non-fatal victims, with the loss of a loved one and the role of caregiver as stressors, low psychoticism and alcohol abuse, high feelings of loneliness, risk perception, and suicidal ideation; 3-mixed profile, with high neuroticism and psychoticism, alcohol abuse, isolation, and greater reconciliations with the aggressor, and absence of bereavement and caregiver role as stressors. Knowing the differences between IPHAW and IPVAW victims allows the design of more specific instruments for risk assessment and the design of more individualized prevention and treatment programs. This also facilitates police work in identifying victims and deploying more intense protection measures.
Relationship in Organizational Culture, Management Control System and Employee Performance in Perspective Model

Organizational culture plays a role in shaping the character and behavior of employees, while management control systems play a role in controlling employees so that they continue to do work by the provisions. The purpose of this study is to determine the effect of organizational culture and management control systems on employee performance. The research was conducted at PT. Sami Aji Tekstil by collecting data through a questionnaire filled out by 33 respondents. The data collected is primary data and the method used is a descriptive verification method with a quantitative approach. In this study, the statistical test tool used was Structural Equation Modeling Partial Least Square (SEM-PLS). The results of this study are expected to be a solution to solving problems with the performance of employees at PT. Sami Aji Tekstil. The results of this study prove that organizational culture affects employee performance and that management control system affects employee performance.
Joint Pilot Spacing and Power Optimization Scheme for Nonstationary Wireless Channel: A Deep Reinforcement Learning Approach

Pilot-assisted channel estimation techniques are essential for wireless communication systems. Most studies focus on the estimation algorithms and interpolation techniques. However, the design of pilot pattern is often neglected. In this letter, we propose a joint pilot spacing and power optimization scheme based on deep reinforcement learning (DRL) to address the mismatch problem of pilot configuration for nonstationary wireless channel. First, we model the adaptive pilot design decision-making process as a Markov Decision Process (MDP) to reduce pilot overhead and power loss. Then a deep Q-network (DQN) based learning algorithm is proposed to optimize the spacing and power of pilots so as to maximize estimation performance while reducing system cost. Simulation results show that the performance of the proposed approach is better than conventional pilot configuration algorithms. Moreover, we analyze the key factors that affect the performance of the proposed scheme.
Estimation and Assessment of the Root Zone Soil Moisture from Near-Surface Measurements over Huai River Basin

Root zone soil moisture (RZSM) is a vital variable for agricultural production, water resource management and runoff prediction. Satellites provide large-scale and long-term near-surface soil moisture retrievals, which can be used to estimate RZSM through various methods. In this study, we tested the utility of an exponential filter (ExpF) using in situ soil moisture by optimizing the optimal characteristic time length T_opt for different soil depths. Furthermore, the parameter analysis showed that T_opt correlated negatively with precipitation and had no significant correlation with selected soil properties. Two approaches were taken to obtain T_opt: (1) optimization of the Nash–Sutcliffe efficiency coefficient (NSE); (2) calculation based on annual average precipitation. The precipitation-based T_pre outperformed the station-specific T_opt and stations-averaged T_opt. To apply the ExpF on grid scale, the precipitation-based T_pre considering spatial variability was adopted in the ExpF to obtain RZSM from a new soil moisture dataset RF_SMAP_L3_P (Random Forest Soil Moisture Active Passive_L3_Passive) continuous in time and space over Huai River Basin. Finally, the performance of RF_SMAP_L3_P RZSM (0–100 cm) was evaluated using in situ measurements and compared with mainstream products, for instance, Soil Moisture Active Passive (SMAP) and Soil Moisture and Ocean Salinity Level 4 (SMOS L4) RZSM. The results indicated that RF_SMAP_L3_P RZSM could captured the temporal variation of measured RZSM best with R value of 0.586, followed by SMAP L4, which had the lowest bias value of 0.03, and SMOS L4 significantly underestimated the measured RZSM with bias value of −0.048 in the basin. Higher accuracy of RF_SMAP_L3_P RZSM was found in the flood period compared with the non-flood period, which indicates a better application for ExpF in wetter weather conditions.
Hochschild Cohomology and the Coradical Filtration of Pointed Coalgebras: Applications

Abstract In this paper we show that there is a close connection between the coradical filtration of a pointed coalgebra and the Hochschild cohomology of that coalgebra with coefficients in some one-dimensional bicomodules. As an application, for a given prime numberpand an algebraically closed fieldkof characteristic 0, we classify all pointed Hopf algebras of dimensionp3overk.
The Impact of Work Family Conflict on Psychological Well-being of Woman Workers with Families in The Directorate General of Horticulture, Ministry of Agriculture, Republic of Indonesia

The purpose of this study was to determine the effect of work family conflict on the psychological well-being of female workers with families in the Directorate General of Horticulture of the Ministry of Agriculture of the Republic of Indonesia. The research method used is quantitative research method using psychological scale as the primary data source. The population in this study amounted to 170 female workers with a total sample of 119 female workers Directorate General of Horticulture Ministry of Agriculture of the Republic of Indonesia. The analysis tool used in this study is a simple linear regression analysis. The results of this study showed a significant and negative influence of work family conflict on psychological well-being , this is indicated by the value of significance level 0.000 < 0.05, where Ho is rejected and Ha is accepted.
A tilted cold dark matter cosmological scenario

The study computes the evolution of the hot dark matter (HDM) model containing both baryonic matter and dark matter for a post recombination Friedmann-Robertson-Walker universe. A locally valid Newtonian approximation is used to model a representative piece of the universe with size much less than the horizon. For the HDM model with the present chosen normalization, the hard X-ray (1-10 keV) radiation intensity is less than that in the observations (Wu et al., 1991) by a factor of 30. In agreement with other work, it is found that baryonic matter is slightly antibiased over dark matter on the cell scale, 0.5/h Mpc = 667 kpc. The HDM model with the present chosen parameters does not overproduce X-ray-luminous clusters, and there is a negative evolution in the late epochs in the sense that the number density of X-ray clusters was higher at 0.5 redshift than at 0 redshift at the brightest end.
Clinical Trials in Chronic Arthritic Diseases with Underestimated Impact of Placebo Effects on Study Size Calculation

Whether and to which extent placebo treatment in double-blinded randomized controlled clinical trials is effective in chronic arthritic diseases has not been studied before. Therefore, a systematic literature search was undertaken to detect eligible trials. Demographic data of the placebo groups as well as concomitant and previous disease outcomes were collected. Analyses of significant bivariate correlations and linear regression between clinical endpoints and characteristics of the placebo groups were performed. A total of 152 double-blinded randomized controlled studies, including 21,616 participants in the placebo groups, was analyzed. The results of bivariate correlations and linear regressions revealed significant positive associations between responses in the placebo groups and the following factors: (i) naïvety of previous treatment and (ii) early stage of disease. In addition to the clinical relevance, the results support the importance of the placebo effect on study size calculations, and will allow an optimized calculation of patients’ numbers for early placebo-controlled trials conducted in patients with chronic arthritic diseases.
Electron injection via pentacene thin films for efficient inverted organic light-emitting diodes

We report on the fabrication of efficient inverted organic light-emitting diodes (IOLEDs) using pentacene films as an electron injection/transport layer between Al and Alq3 layers. These IOLED devices turn on at 4.7 V and exhibit a luminous efficiency of 9.5 cd/A without any dopants or reactive metals. Analysis using space-charge-limited characteristics of electron-only devices and ultraviolet photoelectron spectroscopy measurement of metal/organic interfaces indicates that the efficient IOLED characteristics can be attributed partly to the electron mobility of pentacene that is 102–104 times larger than that of Alq3 and to the effective reduction in injection barrier at contacts.
Detecting and Classifying Events in Noisy Time Series

AbstractTime series are characterized by a myriad of different shapes and structures. A number of events that appear in atmospheric time series result from as yet unidentified physical mechanisms. This is particularly the case for stable boundary layers, where the usual statistical turbulence approaches do not work well and increasing evidence relates the bulk of their dynamics to generally unknown individual events.This study explores the possibility of extracting and classifying events from time series without previous knowledge of their generating mechanisms. The goal is to group large numbers of events in a useful way that will open a pathway for the detailed study of their characteristics, and help to gain understanding of events with previously unknown origin. A two-step method is developed that extracts events from background fluctuations and groups dynamically similar events into clusters. The method is tested on artificial time series with different levels of complexity and on atmospheric turbule.
Effect of Dipole Interactions on Blocking Temperature and Relaxation Dynamics of Superparamagnetic Iron-Oxide (Fe3O4) Nanoparticle Systems

The effects of dipole interactions on magnetic nanoparticle magnetization and relaxation dynamics were investigated using five nanoparticle (NP) systems with different surfactants, carrier liquids, size distributions, inter-particle spacing, and NP confinement. Dipole interactions were found to play a crucial role in modifying the blocking temperature behavior of the superparamagnetic nanoparticles, where stronger interactions were found to increase the blocking temperatures. Consequently, the blocking temperature of a densely packed nanoparticle system with stronger dipolar interactions was found to be substantially higher than those of the discrete nanoparticle systems. The frequencies of the dominant relaxation mechanisms were determined by magnetic susceptibility measurements in the frequency range of 100 Hz–7 GHz. The loss mechanisms were identified in terms of Brownian relaxation (1 kHz–10 kHz) and gyromagnetic resonance of Fe3O4 (~1.12 GHz). It was observed that the microwave absorption of the Fe3O4 nanoparticles depend on the local environment surrounding the NPs, as well as the long-range dipole–dipole interactions. These significant findings will be profoundly important in magnetic hyperthermia medical therapeutics and energy applications.