Miracle-dz/UniFAR-FTUs huggingface dataset:
The relationship between new product creativity components and purchase intention and the mediating impact of perceived values: a study of consumers in Ho Chi Minh city

Abstract This study aims to extend creativity literature based on consumers’ perspective by examining empirically the effects of new product creativity dimensions of novelty and meaningfulness on consumers’ purchase intention with the mediating roles of perceived values, consisting of perceived hedonic value and perceived utilitarian value. Data were collected via an online approach due to the lockdown in Ho Chi Minh City. Based on testing hypotheses by using structural equation modeling and a sample that included 221 respondents, the results indicate that novelty and meaningfulness do not affect consumers’ purchase intentions directly. Instead, novelty affects indirectly consumers’ purchase intention through impacting perceived hedonic value, while meaningfulness influences perceived utilitarian value which in turn, affects consumers’ purchase intentions. These results offer crucial guidelines for firms and managers to develop new products and promotional strategies more efficiently. Finally, managerial implications and directions for future study are presented based on the findings.
Analysis of the influence of audit characteristics, company characteristics, and audit committe on auditor replacement in companies listed on the Indonesia Stock Exchange

This research was conducted with the aim of analyzing the effect of audit characteristics, company characteristics and audit committee on auditor turnover. The sample of companies used in this study were 453 companies listed on the Indonesia Stock Exchange from 2015 to 2019. The audit characteristic classification variables are auditor reputation and audit opinion. The variables for categorizing company characteristics are financial distress, change of management, and leverage. The data obtained were then processed using the SPSS program. The results showed that the auditor's reputation and profitability had a significant effect on auditor switching, while financial difficulties, management changes, audit opinion, audit committee, and leverage had no significant effect on auditor switching
Gene Polymorphisms Associated with Central Precocious Puberty and Hormone Levels in Chinese Girls

Central precocious puberty (CPP) is associated with adverse health outcomes in females; however, CPP pathogenesis remains unclear. In this study, we investigated the association of 20 single nucleotide polymorphisms (SNPs) in eight genes with CPP risk and hormone levels. A case-control study on 247 and 243 girls with and without CPP, respectively, was conducted at Kunming Children's Hospital, China, from September 2019 to August 2020. The genotype of the SNPs and their haplotypes were identified. Additionally, the effects of the polymorphisms on hormone levels were investigated. Three variants (rs10159082, rs7538038, and rs5780218) in KISS1 and two variants (rs7895833 and rs3758391) in SIRT1 were related to an increased CPP risk (odds ratio (OR) = 1.524, 1.507, 1.409, 1.348, and 1.737; 95% confidence interval (CI) = 1.176–1.974, 1.152–1.970, 1.089–1.824, 1.023–1.777, and 1.242–2.430, respectively). Rs3740051in SIRT1 and rs1544410 in VDR reduced CPP risk (OR = 0.689, 0.464; 95% CI, 0.511–0.928, 0.232–0.925, respectively). Rs1544410, rs7975232, and rs731236 in VDR were negatively correlated with peak follicle-stimulating hormone (FSH; β = −2.181; P=0.045), basal FSH (β = −0.391; P=0.010), and insulin-like growth factor (β = −50.360; P=0.041) levels, respectively. KISS1, SIRT1, and VDR variants were associated with CPP susceptibility, and VDR SNPs influenced hormonal levels in Chinese females with CPP. In particular, VDR polymorphism rs1544410 was associated with both CPP risk and GnRH-stimulated peak FSH levels. Further functional research and large-scale genetic studies of these loci and genes are required to confirm our findings.
Impact of Alzheimer's Disease on Caregivers in the United States.

Background/Objective First discovered by Alois Alzheimer in 1906, Alzheimer's disease (AD) has become a growing global health concern with numerous implications for individuals and modern society. As patients' symptoms of dementia continue to worsen, they gradually grow more limited in their independence. As a result, family members and close acquaintances often become caregivers for the patient and become more involved in maintaining the patient's lifestyle. The authors of this research sought to study what motivates caregivers to look after AD patients and the impact of AD on their lifestyles and physical, mental, and social health. Methods The authors crafted a survey of fourteen questions and collected data from 200 caregivers regarding AD's impact on their physical, emotional, and social health along with their key demographic and background information (e.g. whether or not they are a caregiver for a patient with AD). Results The results indicate that most AD caregivers are family members (78%). AD often strains the caregiver's relationship with the patient (47.5%), and 58% of participating caregivers report extreme stress levels while 65% realize it is incredibly difficult to take care of a patient. Because of the increased levels of stress, 47% of participating caregivers sleep less; 43% feel more isolated from their family; and, 35.5% did not try to get help from others. Love and a strong sense of duty seem to be the primary motivation for caregivers to take care of a patient. Worry for the patient (50%), financial worries (12.5%), lack of medical experience (10.5%), and their own health (10.5%) seem to be the primary stressors for caregivers. Caregivers rely on numerous support systems and coping mechanisms, with physical activity (54.5%) and increased alcohol and marijuana usage (35.5%) the most frequent. Conclusions Although caregivers have support systems and found coping methods that would alleviate their burden of caring for a patient with AD, the clear negative impact AD has on caregivers affects their physical, mental, and social health. As there is currently no cure for AD, compassion and greater support for caregivers are necessary.
Effect of Integrated Reporting on Firm’s Value: The Nigeria Manufacturing Sector Experience

The main objective of this study was to investigate the effect of integrated reporting on firms’ value drawing samples from listed manufacturing firms in Nigeria between the periods of 2011-2020. In this study, human capital disclosure index, manufacturing capital disclosure index, and social and relationship capital disclosure index were the integrated reporting proxies adopted to evaluate the effect on value of Nigeria manufacturing firms. Firms’ value was measured in terms of Tobin Q, and year price index was adopted as the control variable. Ex post factor research design was used and the study made use of secondary data sourced from the sampled companies’ annual reports and Nigeria Exchange Group Fact book. Data for integrated reporting variables were derived using disclosure checklist developed in accordance with the integrated reporting framework disclosure guidelines. Purposive sampling technique was used to select 51 out of the 59 manufacturing companies listed on the Nigeria Exchange Group. In order to examine the cause-effect relationship between the dependent variable and independent variables as well as to test the formulated hypotheses, the researcher used a robust regression analysis. The results of the analysis showed that the disclosure of human capital information in the annual report of listed manufacturing firms in Nigeria significantly improves the firm’s value. Based on this findings, it was concluded that only the variable of human capital disclosure has significant effect on firms’ value. Finally, the study recommended that the management of manufacturing firms in Nigeria should capture all disclosure items concerning human capital in their financial statements as this tends to improve the value of the firm and increase shareholders’ wealth. It was also recommended that management should develop an inclusive organizational culture for disclosing non-financial information with long term value creating capacity as they can maximise the market value of the firm over the short, medium and long term horizon.
MAXIMIZING VOLUME OF SPENT BLEACHING EARTH ASH (SBEA) POZZOLAN USED AS CEMENT REPLACEMENT IN MORTAR THROUGH MECHANICAL ACTIVATION

Spent bleaching earth ash (SBEA) is harmful waste from the oil refining industry that has previously exhibited pozzolanic properties and potential for use as cement replacement. Conventional pozzolanic replacements in cements are typically limited to 30 % only as excessive amounts have detrimental on cement strength. This research aimed to investigate the feasibility of increasing the level of replacement past 30 % through mechanical activation. Preliminary investigations revealed that SBEA contains sufficient silica and alumina oxides to be classified as Class N pozzolan in accordance with ASTM C618. As expected with pozzolans, the use of SBEA in cement mortar improved the 28 and 56-day compressive strengths up to 30 % substitution but at the same time also increased the water requirement. Mechanical activation was able to improve the level of substitution to 50 % through a mix of increasing pozzolanic reactivity of SBEA as well as increasing the specific surface area of its particles.
Synthesis and characterization of novel nano-carbon mixture from Dabai (Canarium odontophyllum) nutshell

The nanocarbon-based mixture was shown to be an effective adsorbent for removing dyes and heavy metals from wastewater via adsorption. The goal of this research was to prepare and investigate the properties of a bio-carbon mixture made from Dabai (Canarium odontophyllum) nutshell with the addition of titanium dioxide (TiO2) and montmorillonite (MMT) clay. Fourier transform infrared (FTIR) spectroscopy was used to determine the functional groups of raw carbon and potassium hydroxide (KOH)-activated carbon (AC). The FTIR analysis of the active carbon revealed that the active carbon had more surface chemistry than the non-AC. Scanning electron microscopy (SEM) analysis was used to compare the raw and AC morphologies and the developed nanocarbon. The results were confirmed using energy dispersive X-ray (EDX) analysis to verify the elements in the studied sample. The SEM analysis revealed that the structure of both the carbon samples was irregular, granular, and porous. BET analysis showed that nano-activated carbon had higher surface area compared to activated carbon itself. Response surface methodology (RSM) was used in Design-Expert 13.0 software for the sample composition development to achieve the best performance of the developed nanocarbon as an adsorbent.
Langerhans Cell Histiocytosis of the Mandible

The unusual disorder known as Langerhans cell histiocytosis, which is most frequently seen in children and young adults, is caused by the clonal proliferation of Langerhans cells. Even if clinical signs and radiographic evidence of destructive bone lesions may raise suspicion of the disease, a reliable diagnosis without a thorough pathological examination is challenging. This report describes a case of eosinophilic granuloma of the mandible in a nine-year-old child with characteristic radiological, histopathological, and immunohistochemical features.
Childhood Gender Segregation in Context: A Cultural Sociocontextual Approach

Childhood gender segregation, the tendency for children to form acquaintanceships and friendships with those of the same gender (Mehta & Smith, 2019), has been proposed to be a universal phenomenon (Maccoby, 1998; Maccoby & Jacklin, 1974). However, as socialization and peer culture vary cross-culturally (Munroe & Romney, 2006), gender segregation may vary according to cultural context. This paper uses a sociocontextual framework to review cross-cultural comparative research on childhood gender segregation, considering cultural similarities and variations in correlates of gender segregation, including behavioral compatibility, age, the homosocial norm, availability of playmates, familiarity with peers, and gendered societal norms and constraints. In closing, the paper reflects on what cross-cultural research tells us about gender segregation and offers recommendations for future research.
Hydrodynamic Properties Investigation of Ebullated Bed Reactor Using Non-Newtonian Liquid

non-Newtonian liquid is complicated and has not been covered well yet. Hence, the present work is devoted to elucidating the effect of the non-Newtonian behavior of fluid on the hydrodynamic properties of a three-phase (gas-liquid-solid) reactor under operating conditions of different values of gas velocity (2, 4, 6) cm/sec, liquid velocity (0.9, 1.39, 1.8, 2.3) cm/sec, and recycle ratio (1.5, 2, 2.5). The study observed the effect of non-Newtonian behavior using polymethyl Cellulose (PMC) at different concentrations (0.1, 0.2, 0.3, and 0.4) wt%. The pressure gradient method was used to elucidate the minimum liquid fluidization velocity and to estimate hold up, while the imaging method was used to measure the bubble's size. The results showed that the higher the gas velocity, the lower the minimum liquid fluidization velocity. As the intensity of the non-Newtonian behavior increased, gas velocity showed the opposite effect. The results also showed that increasing the velocity of liquid and gas and the intensity of the non-Newtonian increase the gas hold-up. The bubbles characteristics, represented by bubble size results, show that small bubbles appear at low gas velocities, and these bubbles collapse as gas and liquid velocities increase as well as liquid viscosity.
Comparison of Demirjian and Willems Methods in Estimating Dental Age and Modification of Willems Method for 7 - 15 Year Olds Iranian Population

Background: Age estimation is of great importance in many medical fields and dentistry. It is also extensively used in archeology, criminology, and forensic medicine. Considering the importance of dental age estimation, this study was designed. Objectives: This study aimed to evaluate the accuracy of Demirjian and Willems methods for estimating the dental age of 7 - 15-year-olds population of the north of Iran. We also modified the Willems method for this population and compared the results of the modified and original Willems methods. Methods: In this cross-sectional, descriptive, analytical study, a total of 1320 panoramic radiographs in the age range of 7 - 15 years, were examined. Dental age was determined by the Demirjian and Willems methods and compared with the chronological age. Next, a formula based on the Willems method was formulated. Finally, the results of the modified and original Willems methods were compared. Results: The Demirjian method overestimated the chronological age by 0.49 years (0.57 for girls and 0.36 for boys), and the Willems method overestimated this age by 0.07 years (0.03 for girls and 0.14 for boys), too. The mean error of the modified Willems method was zero for the total sample, although for most age subgroups, the modified method was more erroneous than the original method. Demirjian method had larger overestimations for girls than for boys, whereas the opposite was found for the Willems method. Conclusions: The Demirjian and Willems methods both overestimated the chronological age. However, the overestimations were smaller in the Willems method. Based on the findings, the original Willems method was the preferred choice for age estimation.
A study of the equatorial anomaly ionosphere using tomographic images

Tomographic techniques are applied to relative total electron content (TEC) data obtained using radio signals transmitted by the polar orbiting Navy Navigation Satellite System (NNSS) and received at a chain of six stations located at approximately 121°E longitude. Images reconstructed for each satellite passage provide a picture of electron density over a 25° latitude range and to an altitude of about 1000 km at a longitude of 121°E. Over 350 ionospheric images of the northern equatorial anomaly region have been reconstructed for October/November 1994. The daytime equatorial anomaly crest is a prominent feature of the reconstructed images. The rms difference between foF2 computed from tomographic images and foF2 measured by two ionosondes is found to be less than 12%. Causes for the differences are discussed. We show how the crest develops on average days in October and November and discuss the nature of seasonal variations. The fully developed anomaly core is aligned approximately along geomagnetic field lines, resulting in the existence of strong and directional gradients in the anomaly region. As a consequence, the crest latitude and the maximum vertical TEC (VTEC) latitude are noncoincident. The tilt of the anomaly core also causes the slant TEC integrated through the crest to be highly directional. In fact, the use of spherical stratification in predicting slant TEC based on the knowledge of the vertical TEC may give an error as large as 30 to 50% in some directions. Implications for GPS ranging measurements are discussed.
INTELLIGENT DEEP LEARNING ENABLED CROWD DETECTION AND CLASSIFICATION MODEL IN REAL TIME SURVEILLANCE VIDEOS

Recently, security surveillance applications exploited the computer vision based detection and tracking approaches to improve the safety and comfort of humans. A major concern in real time surveillance video tracking is the process of identifying the human crowd behavior and classifying them. It finds useful to alert the crow in case of any disasters and unpredicted events. The investigation of human behavior in crowded surveillance videos is an essential and crucial area of research. The recent advances in Artificial Intelligence (AI) and deep learning (DL) models can be employed for determining the crowd behavior analysis in surveillance videos. With this motivation, this article focuses on the design of intelligent deep learning enabled crowd behavior detection and classification (IDL-CBDC) model in real time surveillance videos. The goal of the IDL-CBDC technique is to detect the crowd and classify it into four classes namely marriage, political, school, and college. Primarily, the IDL-CBDC technique performs preprocessing in two levels namely adaptive median filtering (AMF) technique and contrast enhancement (CE) approach. Besides, a deep instance segmentation approach using PSPNet-101 model is used for the segmentation of input video frames into crowds. Moreover, the black widow optimization (BWO) with residual network (ResNet50) model is applied for the crowd detection and classification process. The design of BWO algorithm helps to properly adjust the hyperparameter values such as learning rate, batch size, number of epochs, and number of hidden layers. In order to ensure the improved performance of the IDL-CBDC technique, a set of simulations take place using an own dataset, gathered from public places. Extensive comparative result analysis reported the supremacy of the IDL-CBDC technique over the other techniques.
Subcutaneous emphysema and pneumomediastinum in COVID -19 patients: ICU course of four cases and review of literature

Objective: Since April 2021, there has been significant increase in number of COVID-19 cases in India. As the caseload increased, so did the complications like pneumomediastinum (PM) and subcutaneous emphysema (SE). Case Presentation: We present clinical course of 4 patients as case series of COVID-19 pneumonia who developed PM and SE during their management. Two cases with the need of non-invasive ventilation (NIV) recovered and two cases that needed invasive mechanical ventilation (IMV) ultimately expired. Conclusion: This case series highlights the importance of positive pressure ventilation via NIV and IMV as a predisposing factor for PM and SE as well as the need of strict vigilance by clinicians managing COVID-19 patients in IMV.
NONASYMPTOTIC BOUNDS FOR AUTOREGRESSIVE TIME SERIES MODELING

The subject of this paper is autoregressive (AR) modeling of a stationary, Gaussian discrete time process, based on a finite sequence of observations. The process is assumed to admit an AR(∞) representation with exponentially decaying coefficients. We adopt the nonparametric minimax framework and study how well the process can be approximated by a finiteorder ARmodel. A lower bound on the accuracy of ARapproximations is derived, and a nonasymptotic upper bound on the accuracy of the regularized least squares estimator is established. It is shown that with a “proper” choice of the model order, this estimator is minimax optimal in order. These considerations lead also to a nonasymptotic upper bound on the mean squared error of the associated one-step predictor. A numerical study compares the common model selection procedures to the minimax optimal order choice. 1. Introduction. The standard methods for estimating parameters of time series are based on the assumption that the observations come from an autoregressive (AR), moving average (MA), or mixed (ARMA) model of known orders. This assumption can rarely be justified in practice, and the less stringent assumption is that the time series data are observations from a linear stationary process. A common approach to modeling linear stationary processes is based on an ARapproximation. In this framework a finite order ARmodel is fitted to the observations. The order of the ARmodel should provide an “optimal” finite ARapproximation to the process, and it is usually chosen by selection procedures based on the data. This nonparametric ARapproach to modeling linear stationary processes has been investigated by Shibata (1980), Bhansali (1981, 1986), An, Chen and Hannan (1982) and Hannan and Kavalieris (1986). Shibata (1980) considered the problem of predicting a Gaussian infiniteorder ARprocess by fitting a finite ARmodel. The notion of optimality for the model selection procedure proposed by Shibata (1980) is based on an asymptotic lower bound on the mean squared prediction error. Specifically, the procedure is asymptotically efficient if it attains the lower bound asymptotically. Shibata (1980) also established that the final prediction error (FPE) [Akaike (1970)] and the AIC [Akaike (1974)] criteria are asymptotically efficient in the above sense, provided that the linear process does not degenerate to a finite order autoregression. A similar result has been obtained