Auditing as a corporate governance mechanism has attracted considerable research attention. Because of the information asymmetry between corporate managers and outside shareholders, auditors are ...hired to provide independent assurance that financial statements are prepared following generally accepted accounting principles. The credibility of such assurance depends on the independence, both in fact and in appearance, of the auditor. Over the years, however, the independence of auditors has come under increased scrutiny because of their joint provision of both audit and non‐audit services. A sizable literature on the impact of non‐audit fees on financial reporting quality has developed. The evidence from this literature, however, remains inconclusive. This paper provides a meta‐analysis of the available literature by assessing (a) the net effect of non‐audit fees on financial reporting quality, and (b) whether there is homogeneity in the financial reporting quality proxies used in the extant literature. Findings suggest that the level of client‐specific non‐audit fees is associated with reduced financial reporting quality. However, the underlying studies used to conduct this meta‐analysis are not homogenous.
This article examines the effects on cost stickiness of firms’ involvement in corporate social responsibility (CSR) activities. Cost stickiness represents asymmetric cost behavior whereby the ...magnitude of cost increases in response to an increase in the activity level is greater than the magnitude of cost decreases with a decrease in the activity level. We hypothesize that CSR involvement requires ongoing investments in value-creating activities; hence, it is difficult to scale down committed resources instantly even when the activity declines. We use two different CSR proxies and find support for the CSR-related cost stickiness hypothesis. We further decompose CSR into strategic and tactical CSR and find that cost stickiness is more pronounced for strategic CSR. Finally, we examine the CSR-related cost behavior pattern across business cycles and find some evidence of cost stickiness during an expansionary phase of the economy and cost anti-stickiness during a recessionary phase but only for the tactical CSR component.
Dyslipidemia, a major contributor to cardiovascular diseases, is rapidly increasing in Asian countries including Bangladesh. In addition to the cardiovascular system, abnormal lipid levels are also ...known to cause complications in renal and hepatic systems. The data regarding dyslipidemia and its relationship with liver enzymes are scarce for the Bangladeshi population. Therefore, this study was conducted to estimate the prevalence of dyslipidemia and determine the relationship between lipid profile and liver enzymes in Bangladeshi adults. A total of 405 participants (318 males and 87 females) were enrolled in the study. Serum levels of TG, TC, LDL, HDL and liver enzymes including ALT, AST, GGT and ALP were analyzed using standard methods. Dyslipidemia and liver function tests abnormalities were defined according to the international standard guidelines. The association between elevated lipid profile markers and liver enzyme abnormalities was assessed by logistic regression analysis. Overall, the prevalence of elevated TG, TC, LDL and low HDL were 30.9%, 23.7%, 26.2% and 78.8%, respectively. On the other hand, the prevalence of elevated liver enzymes ALT, AST, GGT and ALP were 18.8%, 21.6%, 12.9% and 21.9%, respectively. Dyslipidemia and liver enzyme abnormalities were higher in diabetic and hypertensive participants than in the healthy participants. About 61% of participants with dyslipidemia had at least one or more elevated liver enzymes. In regression analysis, an independent association was observed between serum GGT and all lipid components. In conclusion, a high prevalence of dyslipidemia and liver enzyme abnormalities were observed among the study participants. Of the four liver enzymes, the serum levels of GGT showed an independent association with all lipid components. Moreover, this study indicates that subjects with dyslipidemia often have a higher chance of having liver diseases than subjects with no dyslipidemia. However, large-scale prospective studies are needed to understand the underlying mechanisms of lipid-induced hepatic dysfunction in the Bangladeshi population.
A new spatial prisoner's dilemma game model considering the conformity is proposed.A series of simulations confirms the present model bringing more enhanced network reciprocity than the conventional ...model.The observed enhancement is mechanically justified by relying the concept of END and EXP period.
In line with more enhanced network reciprocity, we built a new spatial prisoner's dilemma (SPD) game considering conformity with presumption of lattice for underlying network and pairwise Fermi (PW-Fermi) for update rule. The key protocol is that a neighbor with more weight resulting from the conformity would be more likely selected as a pairwise opponent in the PW-Fermi updating process instead of random selection the conventional model presuming. A series of systematic simulations confirms that our model realizes more enhanced network reciprocity than the conventional SPD model. We elucidated its mechanism by means of considering on the concept of END period (meaning an initial period in which the global-cooperation fraction decreases from its initial value) and EXP periods (meaning the period following to END period in which global-cooperation increases) that substantially explaining how cooperative clusters survive in initial period and extend to defective zones afterwards.
Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective ...interaction data. Most existing emotion datasets do not support studying idiosyncratic emotions arising in the wild as they were collected in constrained environments. Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue. Distinct from previous datasets, it includes emotion annotations from all three available perspectives: self, debate partner, and external observers. Raters annotated emotional displays at intervals of every 5 seconds while viewing the debate footage, in terms of arousal-valence and 18 additional categorical emotions. The resulting K-EmoCon is the first publicly available emotion dataset accommodating the multiperspective assessment of emotions during social interactions.
This paper reports an investigation of the mechanical and microscopic properties of partially replaced banana leaf ash (BLA) concrete. In this research, the cement was partially replaced by BLA in ...two phases: Phase A (0%, 5%, 10%, 15%, 20%, 25% and 30%) and Phase B (0%, 10%, 20% and 30%). The consequence of partially replacing cement with BLA in concrete was investigated by the application of a range of tests, namely X-ray fluorescence (XRF), compressive strength, splitting tensile strength, flexure strength, ultrasonic pulse velocity and scanning electron microscopy (SEM) analysis. The properties were then correlated with the properties of a standard 100% Portland cement concrete of similar strength. The XRF result of the BLA identified a composition with 48.93% SiO
and 3.48% Al
O
which indicates that the material potentially possesses pozzolanic properties. The mechanical properties of the partially replaced BLA concrete noted minor strength loss, approximately 5% with 20% partial replacement. The nondestructive testing data showed enhanced performance up to 20% partial replacement, with ultrasonic pulse values above 3500 m/s. The scanning electron microscopy analysis illustrated that the morphology of BLA specimens contained increased microcracks compared with the control. The decrease in strength observed is attributed to the fibrous composition of the BLA. The mechanical, nondestructive testing and microscopic results highlight the potential to utilize BLA as a partial replacement for cement as a pozzolanic material in concrete at up to 20% by weight of cement.
Previous literature has highlighted the importance of maternal behavior during the prenatal period for the upbringing of healthy adults. During pregnancy, fetal health assessments are mainly carried ...out non-invasively by monitoring fetal growth and heart rate (HR) or RR interval (RRI). Despite this, research entailing prediction of fHRs from mHRs is scarce mainly due to the difficulty in non-invasive measurements of fetal electrocardiogram (fECG). Also, so far, it is unknown how mHRs are associated with fHR over the short term. In this study, we used two machine learning models, support vector regression (SVR) and random forest (RF), for predicting average fetal RRI (fRRI). The predicted fRRI values were compared with actual fRRI values calculated from non-invasive fECG. fRRI was predicted from 13 maternal features that consisted of age, weight, and non-invasive ECG-derived parameters that included HR variability (HRV) and R wave amplitude variability. 156 records were used for training the models and the results showed that the SVR model outperformed the RF model with a root mean square error (RMSE) of 29 ms and an average error percentage (< 5%). Correlation analysis between predicted and actual fRRI values showed that the Spearman coefficient for the SVR and RF models were 0.31 (P < 0.001) and 0.19 (P < 0.05), respectively. The SVR model was further used to predict fRRI of 14 subjects who were not included in the training. The latter prediction results showed that individual error percentages were (≤ 5%) except in 3 subjects. The results of this study show that maternal factors can be potentially used for the assessment of fetal well-being based on fetal HR or RRI.
We examine whether regional social capital has any impact on idiosyncratic return volatility. Using US data, we find that firms headquartered in high social capital counties exhibit significantly ...lower idiosyncratic return volatility. This effect is more pronounced in the presence of financial reporting quality and corporate social responsibility. When we estimate the direct and indirect effects of social capital, our study reveals that the direct effect of social capital captures around 80% of the total effect. These findings suggest that firm-specific variables do not explain all of a firm's idiosyncratic return volatility, but regional social capital also plays a role.
Background:
Gait dysfunction or impairment is considered one of the most common and devastating physiological consequences of stroke, and achieving optimal gait is a key goal for stroke victims with ...gait disability along with their clinical teams. Many researchers have explored post stroke gait, including assessment tools and techniques, key gait parameters and significance on functional recovery, as well as data mining, modeling and analyses methods.
Research Question:
This study aimed to review and summarize research efforts applicable to quantification and analyses of post-stroke gait with focus on recent technology-driven gait characterization and analysis approaches, including the integration of smart low cost wearables and Artificial Intelligence (AI), as well as feasibility and potential value in clinical settings.
Methods:
A comprehensive literature search was conducted within Google Scholar, PubMed, and ScienceDirect using a set of keywords, including lower extremity, walking, post-stroke, and kinematics. Original articles that met the selection criteria were included.
Results and Significance:
This scoping review aimed to shed light on tools and technologies employed in post stroke gait assessment toward bridging the existing gap between the research and clinical communities. Conventional qualitative gait analysis, typically used in clinics is mainly based on observational gait and is hence subjective and largely impacted by the observer's experience. Quantitative gait analysis, however, provides measured parameters, with good accuracy and repeatability for the diagnosis and comparative assessment throughout rehabilitation. Rapidly emerging smart wearable technology and AI, including Machine Learning, Support Vector Machine, and Neural Network approaches, are increasingly commanding greater attention in gait research. Although their use in clinical settings are not yet well leveraged, these tools promise a paradigm shift in stroke gait quantification, as they provide means for acquiring, storing and analyzing multifactorial complex gait data, while capturing its non-linear dynamic variability and offering the invaluable benefits of predictive analytics.
Rotavirus is one of the causes of severe diarrhea and death in young children. To control the disease, safe and effective vaccines are being used in several countries. We assessed the impact of ...vaccination on the risk factors for acute rotavirus diarrhea (ARD) in Bangladesh.
We used the data of a cluster-randomized trial. The clusters were 142 villages, 71 in each of the two arms of study. The infants were offered human rotavirus vaccine (HRV), Rotarix, over three-year period. We divided the time period into two equal periods (T1 and T2). A generalized estimating equation with logit-link function was used to evaluate the risk factors by arm and by period.
Among 10,917 children, 5,759 (53%) were in the HRV villages. We had 359 cases; 44% in the HRV villages. Mean age of attack was similar between the arms of study in T1, but significantly higher in HRV villages than that in the non-HRV villages in T2. In HRV villages, males were at a higher risk of having ARD than females in T1, but not in T2. In contrast, males were at a higher risk of having ARD in both the time periods in non-HRV villages. In HRV-villages, children having literate mother were at significantly higher risk of having ARD in T1 but not in T2; whereas children in the non-HRV villages had a higher risk of having ARD in T2. Children living in an area with higher phone users had more cases than their counterpart in non-HRV villages, but not in HRV villages.
Our study illustrates that several risk factors for ARD varied between the two arms of study as well as between the two periods of study. Assessing post-vaccination risk factors is, therefore, important for understanding the impact of vaccination and undertaking post-vaccination control measures.
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