Miracle-dz/UniFAR-FTUs huggingface dataset:
Peer drinking and alcohol use. The role of risk perception, perceived vulnerability, and gender: a moderated moderation analyses

ABSTRACT Objective To examine the moderating role of alcohol-related risk perception and perceived vulnerability to alcohol consequences in the relationship between descriptive drinking norms and personal alcohol use, and to determine if this moderation was, in turn, moderated by gender Methods 538 college students (78.0% women, mean age = 21.2) from three Spanish universities completed a paper-and-pencil questionnaire. Simple moderation and moderated moderation analyses were conducted Results Risk perception and perceived vulnerability moderated the relationship between drinking norms and alcohol use. This relationship weakened as perceived vulnerability and risk perception increased. High levels of risk perception and perceived vulnerability nullified the effect of perceived peer drinking on drinking quantity among both men and women, but higher values were necessary to nullify these effects among men Conclusions Risk perception and perceived vulnerability appear to be useful in identifying specific subgroups more vulnerable to the effects of drinking norms and might be effective strategies for weakening its impact on alcohol use, with such strategies being more beneficial for women than men. These variables could thus be incorporated into norm-based interventions as they may improve their effectiveness. Our findings highlight the importance of designing gender-specific interventions to reduce the potential negative impact of alcohol consumption.
Preparation for birth and complication readiness: rural-urban disparities among pregnant women in communities in Enugu State, Nigeria

Introduction: birth preparedness and complication readiness (BPCR) is a key component of safe motherhood programs. The study aimed to determine the rural-urban disparities in BPCR and its predictors among pregnant women. Methods: this study was a community-based comparative cross-sectional study carried out among 366 pregnant women living in rural and urban areas in Enugu State, Nigeria. A multistage sampling technique was used to select the participants. Data analysis was carried out using descriptive statistics and inferential statistics at a significant level of p < 0.05. Results: among the respondents, 213 (58.2%) had good knowledge of the components of BPCR. However, a significantly higher proportion of those in urban areas had better knowledge of these components than those in rural areas (p=0.01). Generally, there was a poor practice of BPCR among both groups of respondents. However, between both groups of respondents, good practice of BPCR was statistically significantly higher in respondents from urban areas 69 (37.7%) than those in rural areas 47 (25.7%) (X2=6.108, p=0.013). Several factors were found to be associated with good practice of BPCR among the respondents however, the only predictor of good practice of BPCR among the urban respondents was being aware of free maternal and child health services in the State while for the rural respondents, it was having an assisted delivery in the last stages of pregnancy. Conclusion: there are rural-urban disparities in BPCR. Most pregnant women are knowledgeable about its components but the majority do not practice it appropriately.
A Study on the Quality of Tourism Experience of Historical and Cultural Blocks Under the Background of Urban Renewal—A Case Study of Yongqing Fang in Guangzhou

Sound evaluation of the quality of tourism experience of historical and cultural blocks under the background of urban renewal is of great significance for integrating culture and through tourism. Yongqing Fang Alleyway is an example of micro-transformation in Guangzhou. Therefore, this paper aims to create a system of evaluation of tourism experience using questionnaire surveys and statistical tools. The results indicate that: (1) The evaluation system of tourism experience quality in historical and cultural blocks consists of five dimensions: revival of cultural heritage, environmental atmosphere, tourism projects and activities, tourism services, and overall subjective experience; (2) The comprehensive evaluation of tourism experience quality of Yongqing Fang is favorable, manifested by high evaluation of environmental atmosphere index and architectural historical features, low evaluation of tourism service index, tourism novelty, consumer price, and interactive project participation. Based on the above analysis results, this paper seeks to put forward suggestions to optimize the evaluation of tourism experience quality in Yongqing Fang, which provides a reference for testing and improving the micro- transformation effect of historical and cultural blocks.
Effective Synthesis of a Novel Betulinic Acid Conjugate with Mitochondria-Targeting Cation F16

: Currently, mitochondria are considered as an attractive universal target in the development of new anticancer drugs. These organelles are essential in energy production, regulation of cell death pathways, generation of reactive oxygen species, as well as maintenance of calcium ho-meostasis. Various approaches are being developed to deliver biologically active compounds into the mitochondria of tumour cells, including conjugation of cytotoxic substances with mitochondria-targeted lipophilic cations. Among the currently known low molecular weight lipophilic cationic molecules, (E)-4(1H-indol-3-ylvinyl)-N-methylpyridinium iodide ( F16 ) is of great interest. This mi-tochondria-toxic cationic compound with luminescent properties is selectively accumulated in mitochondria and can selectively trigger apoptosis and necrosis of tumour cells, making it an attractive targeted agent for theranostic use. Meanwhile, betulinic acid, an available natural pentacyclic triterpenoid, has been considered as a promising scaffold for development of new anticancer agents in recent years. The antitumour effect of this natural product arises from affecting the mitochondria of tumour cells through formation of reactive oxygen species. The present article details an efficient synthesis of a novel multifunctional hybrid agent in which a cytotoxic triterpenoid, betulinic acid, is carbon-carbon bonded to the cationic F16 fragment at the C-2 position of ring A through a phenylethynyl spacer. The starting substrates in the synthesis were C-2 propynyl derivative of betulinic acid and N-aryl-substituted 4-(1H-indol-3-ylvinyl)-pyridine. The derivative of betulinic acid with a terminal acetylenic group was prepared by the reaction of C-alkylation with propargyl bromide of potassium enoxytriethylborate generated from betulonic acid. To obtain the N-aryl-substituted an-alogue of F16 , CuI-catalyzed Ullmann-Goldberg reaction was applied. The synthesis of the target conjugate was successfully completed by the cross-coupling of the terpene and heterocyclic compo-nents according to Sonogashira in the presence of CuI/Pd(PPh 3 ) 2 catalyst.
Overcoming Obstacles in Liquid Biopsy Developments for Prostate Cancer

Abstract Prostate cancer is one of the most common malignancies in men. Over time, it can metastasize and become lethal once it exhausts hormonal therapies and transitions into castration-resistant prostate cancer (CRPC). Several therapies have been recently approved for advanced prostate cancer, but identifying biomarkers for current treatments and searching for more effective treatments are urgently needed. Liquid biopsy is a powerful tool for isolating genetic material, proteins, and whole tumor cells from the blood. In recent decades, this technology has rapidly advanced, allowing for better insights into the pathogenesis and treatment response in different stages of prostate cancer. In this review, we summarize important clinical studies involving liquid biopsies in prostate cancer with a focus on advanced disease, notably regarding circulating tumor DNA, circulating tumor cells, and exosomes. We highlight the progress and the challenges that still exist for these technologies. Finally, we discuss promising avenues that will further expand the importance of liquid biopsy in the care for prostate cancer patients.
Interpretable Deep Learning for Probabilistic MJO Prediction

The Madden‐Julian oscillation (MJO) is the dominant source of sub‐seasonal variability in the tropics. It consists of an Eastward moving region of enhanced convection coupled to changes in zonal winds. It is not possible to predict the precise evolution of the MJO, so sub‐seasonal forecasts are generally probabilistic. We present a deep convolutional neural network (CNN) that produces skilful state‐dependent probabilistic MJO forecasts. Importantly, the CNN's forecast uncertainty varies depending on the instantaneous predictability of the MJO. The CNN accounts for intrinsic chaotic uncertainty by predicting the standard deviation about the mean, and model uncertainty using Monte‐Carlo dropout. Interpretation of the CNN mean forecasts highlights known MJO mechanisms, providing confidence in the model. Interpretation of forecast uncertainty indicates mechanisms governing MJO predictability. In particular, we find an initially stronger MJO signal is associated with more uncertainty, and that MJO predictability is affected by the state of the Walker Circulation.
The Psychological Impact and Influencing Factors during Different Waves of COVID-19 Pandemic on Healthcare Workers in Central Taiwan

Background: This study aims to explore differences of psychological impact and influencing factors that affected Taiwanese healthcare workers (HCW) during the first and second wave of COVID-19. Methods: a cross sectional survey of first-line HCW during November 2021 to February 2022: 270 paper questionnaires were issued and the valid response rate was 86% (231). For statistical analysis, descriptive statistics, Pearson correlation, and multivariate linear regression were used. Results: regardless of the wave of the pandemic, nearly 70% of HCW had anxiety, nearly 60% felt depressed, half of them suffered from insomnia, and one in three felt insufficient social support, which means a high level of loneliness. With an increased number of infected patients during the second wave, HCW felt significant changes of workload and schedule, with higher concern over risk of infection, and these factors induced higher levels of anxiety, but they manifested better satisfaction over public health policies and information provided by hospitals and governments. Changes of working schedules or duties positively relate to levels of anxiety and insomnia. The risk of infection causes anxiety, depression, and insomnia. Workplace relationships significantly relate to depression and loneliness. A negative family support causes an adverse psychological impact. Conclusions: the pandemic has a negative psychological impact on HCW. Early recognition of significant influencing factors, providing psychological support and therapy, are helpful strategies for reducing the adverse psychological effects.
Designing mobile museum experiences for teenagers

ABSTRACT While museums are often designed to engage and interest a wide variety of audiences, teenagers are a neglected segment. This article describes a set of findings that aids in designing enjoyable interactive experiences inside natural history museums for teenagers (15–19 years old). For this research, 223 teenagers have been involved through co-design sessions and testing of Augmented Reality prototypes (130 of these teenagers took part in a focus group as well). This work also involved 3 museums from Portugal, 12 cultural heritage professionals, and 17 master's students as sources of information who took part in different research studies. Through qualitative analysis, the findings from the studies provide a strong foundation to inform and inspire work within the emerging research field concerning museum offerings and the current teenage generation.
Comparison of optical measurements of critical closing pressure acquired before and during induced ventricular arrhythmia in adults

Abstract. Significance The critical closing pressure (CrCP) of cerebral circulation, as measured by diffuse correlation spectroscopy (DCS), is a promising biomarker of intracranial hypertension. However, CrCP techniques using DCS have not been assessed in gold standard experiments. Aim CrCP is typically calculated by examining the variation of cerebral blood flow (CBF) during the cardiac cycle (with normal sinus rhythm). We compare this typical CrCP measurement with a gold standard obtained during the drops in arterial blood pressure (ABP) caused by rapid ventricular pacing (RVP) in patients undergoing invasive electrophysiologic procedures. Approach Adults receiving electrophysiology procedures with planned ablation were enrolled for DCS CBF monitoring. CrCP was calculated from CBF and ABP data by three methods: (1) linear extrapolation of data during RVP (CrCPRVP; the gold standard); (2) linear extrapolation of data during regular heartbeats (CrCPLinear); and (3) fundamental harmonic Fourier filtering of data during regular heartbeats (CrCPFourier). Results CBF monitoring was performed prior to and during 55 episodes of RVP in five adults. CrCPRVP and CrCPFourier demonstrated agreement (R=0.66, slope=1.05 (95%CI, 0.72 to 1.38). Agreement between CrCPRVP and CrCPLinear was worse; CrCPLinear was 8.2±5.9 mmHg higher than CrCPRVP (mean ± SD; p<0.001). Conclusions Our results suggest that DCS-measured CrCP can be accurately acquired during normal sinus rhythm.
Unpacking the Policies, Historical Stages, and Themes of the Education Equality for Educational Sustainable Development: Evidence from China

The educational equality policies vary in terms of different spatial, cultural, economic, and social dynamics. Despite a great deal of discussion on how to implement equality policies into the Chinese education system, very little research has explored how the Chinese education equality policy responds to social inequalities. To address it, applying Rawls’ theory of justice, this study investigates the macro-level landscape of education equality in China through Dynamic Topic Models to examine their evolution of (unobserved) social equalities imbedded in different political documents over time. The findings present the key policies, the key historical period, the core themes of China’s equality education development, and its responses to social inequalities. In addition, the discussion and conclusion have been offered in the last section.
Fixed-Time and Prescribed-Time Consensus Control of Multiagent Systems and Its Applications: A Survey of Recent Trends and Methodologies

Fixed-time and prescribed-time consensus control can bring an explicit estimate of the settling time without dependence on initial conditions, which is important in providing control engineers a priori system information. This article aims at presenting a survey of recent trends and methodologies of fixed-time and prescribed-time consensus control in multiagent systems. First, some typical fixed-time consensus results are reviewed. Despite the advantage in deriving a fixed settling time bound, fixed-time consensus controllers usually result in a conservative estimate of the bound and a large magnitude of initial control input, which in turn show the necessity of designing prescribed-time consensus controllers. Second, characteristics and controller design of (practical, respectively) prescribed-time consensus are provided in detail. Particularly, representative time-varying function-based controllers are presented, by which (practical, respectively) consensus can be achieved in prescribed time. Third, applications of fixed-time and prescribed-time consensus control in mobile robots and smart grids are illustrated in case studies. Finally, several challenging issues in prescribed-time consensus control are discussed for future research.
EVALUATING CORPUS LUTEUM SIZE OF LOCAL VIETNAMESE CATTLE AND IDEALLY SYNCHRONIZED TIMING FOR CLONED BOVINE EMBRYOS TRANSFER

In this study, we evaluated the effects of corpus luteum (CL) size of local Vietnamese cattle and determined the ideally synchronized timing for cloned bovine embryos transfer. The results showed that there was a correlation between the size of corpus luteum of recipient cows and pregnancy rates after embryos transfer, in which the qualified recipient cow should consists of at least 1.7 cm in CL size at the time of transferring. In addition, cloned bovine blastocyst at day 6 was the ideal stage for embryos transfer that resulted in about 31.3 % of transferred cows have had pregnancy. In conclusion, this was the first report demonstrated the essential requirements including CL size detection and ideally synchronized timing for improving the success of cloned bovine embryos transfer to local Vietnamese cattle.
Potential of ATR-FTIR–Chemometrics in Covid-19: Disease Recognition

The COVID-19 pandemic has caused major disturbances to human health and economy on a global scale. Although vaccination campaigns and important advances in treatments have been developed, an early diagnosis is still crucial. While PCR is the golden standard for diagnosing SARS-CoV-2 infection, rapid and low-cost techniques such as ATR-FTIR followed by multivariate analyses, where dimensions are reduced for obtaining valuable information from highly complex data sets, have been investigated. Most dimensionality reduction techniques attempt to discriminate and create new combinations of attributes prior to the classification stage; thus, the user needs to optimize a wealth of parameters before reaching reliable and valid outcomes. In this work, we developed a method for evaluating SARS-CoV-2 infection and COVID-19 disease severity on infrared spectra of sera, based on a rather simple feature selection technique (correlation-based feature subset selection). Dengue infection was also evaluated for assessing whether selectivity toward a different virus was possible with the same algorithm, although independent models were built for both viruses. High sensitivity (94.55%) and high specificity (98.44%) were obtained for assessing SARS-CoV-2 infection with our model; for severe COVID-19 disease classification, sensitivity is 70.97% and specificity is 94.95%; for mild disease classification, sensitivity is 33.33% and specificity is 94.64%; and for dengue infection assessment, sensitivity is 84.27% and specificity is 94.64%.
LCHC-DFT: A Low-Cost High-Coverage Design-for-Testability Technique to Detect Hard-to-Detect Faults in STT-MRAMs in the Presence of Process Variations

This paper proposes a low-cost yet high-coverage design-for-testability (DFT) scheme for improving the detection of hard-to-detect (HtD) faults in STT-MRAMs. It is based on introducing a voltage mismatch in the sense amplifier (SA). This mismatch along with the defects in the cell may bias the SA, leading to an incorrect read output which in turn make the HtD faults detectable. The efficacy of the proposed scheme is evaluated by calculating its detection capability in the presence of resistive defects. Evaluation results obtained for a 20nm STT-MRAM memory design show that the proposed scheme provides HtD fault coverage of 81.8% and 86.5%, on average, for intra-cell and inter-cell defects, respectively, with a negligible area overhead (1.1% for a 2Kbit array). In comparison with conventional March tests, which only detect easy-to-detect (EtD) faults, the proposed DFT technique covers both HtD and EtD faults with a faster approach, namely by using a single read operation. Furthermore, to guarantee that the cells affected by HtD faults trigger an incorrect read output under process variation (PV), a timing strategy based on modifying the control unit of the proposed DFT is suggested. The strategy controls the stress introduced by the DFT unit by altering the timing of DFT control signals. The timing alteration enables the detection of HtD faults in the devices with higher deviations from the nominal one due to PV, avoiding yield loss or test escapes.
The Impact of Ethical Leadership on Knowledge Management Processes: An Empirical Study on Healthcare Professionals in Turkey during the Pandemic Period

Given an increased call for examining ethics in the healthcare sector, this study examines how ethical leadership influences employees’ knowledge creation and development, knowledge codification and storage, knowledge sharing and knowledge usage and utilizing in the healthcare sector. Healthcare professionals in Turkey were added to the study to observe the effect of ethical leadership on knowledge management. The questionnaire was sent to 414 healthcare professionals randomly selected from healthcare facilities operating in Turkey via Google Forms. All the response rates were 100%. Results indicate that healthcare professionals’ views of their supervisor’s use of ethical leadership behaviors are related to knowledge creation and development, knowledge codification and storage and knowledge usage and utilizing. Contrary to other studies, it has been observed that ethical leadership does not affect knowledge sharing, which is a process of knowledge management. It is considered that this situation is the result of the increased workload and intense overtime of healthcare professionals during the pandemic period, and that different achievements will be obtained from the studies to be carried out after the pandemic period. In this study, ethical leadership is positively associated with knowledge creation and development and knowledge usage and utilizing, which is negatively associated with knowledge codification and storage. Perceived ethical leadership behaviors positively influence knowledge management. Based on the findings, implications are provided for both theory and management, and directions for future research are offered. Keywords: ethical leadership, knowledge management, healthcare sector, pandemic period in Turkey
Recapping: effective pedagogy to ensure inclusivity and optimise learning and teaching experiences

Recaps have long been used in the media industry, where they have been found to be effective in supporting viewers’ understanding and recall of information. More recently, recaps have been explored in educational settings. This study examines whether recapping can support inclusivity and help to optimise learning and teaching experiences in the context of a business school in a widening participation university. We applied a mixed-method approach to collect data from both students and instructors. We used questionnaires to capture quantitatively their perceptions about recapping and semi-structured interviews to explore their opinions in more depth. Our findings indicate that recapping is perceived as an effective pedagogical approach that can improve learning experience of students, teaching experience of teachers and ensure a more inclusive environment. The research makes both theoretical and methodological contributions to the literature.
Nexus between Inflation, Unemployment, and Economic Growth of Pakistan

This research study is about the impact of two major economic vices namely inflation and unemployment on the economic growth in Pakistan. The research study brought to light the varying effects of both variables on economic growth in different time eras. The researcher has chosen data on the Pakistan economy ranging from 1972 to 2021. The data has been sourced from authentic sources like WDI, IFS, and different issues of Pakistan economic surveys. The significance of the research study was in throwing light on the prevailing scenario where Pakistan is faced with multiple challenges both internally and externally. The study has adopted the Augmented Dickey-Fuller technique for checking stationary, the ARDL approach for checking long-run and short-run relationships, and the CUSUM and CUSUMSQ tests for stability of the coefficients.