Miracle-dz/UniFAR-FTUs huggingface dataset:
Reliability of retrospective assessment of the age of first menstruation

The age of the first menstruation is one of the indicators for assessing the course of puberty. It is also a sensitive indicator of the economic situation of individual professional groups or societies, and the low average age of menarche is widely recognized as a marker of society’s well-being. The aim of the study was to analyse the reliability of the retrospective method of assessing the age at menarche by comparing the results to the age obtained from continuous research. Data regarding the age at menarche came from longitudinal somatic development and physical fitness studies conducted between 1976 and 2022. In 2022, 47 women were examined. In continuous studies, the prospective method was used in the assessment of the age of first menstruation while in the 2004 and 2022 studies a retrospective method was applied. Only in 4 out of 47 women the age of the first menstruation declared in 2004 and 2022 (the women were 32–34 and 50–52 years old, respectively) was consistent with the one found in continuous studies. In other cases, there was a discrepancy between the age found in continuous studies and self-reported in 2004 or 2022 or between the age stated in 2004 and 2022. Of those women who were present for the 2022 study, 36 had information about the age of first menstruation from continuous studies and the age of menarche in 2004 was given. For this sample the arithmetic mean and the standard deviation of the age at menarche were calculated. It was found that the retrospective method often used in the assessment of the age of the first menstruation is not fully reliable, as the average discrepancy in the assessment ranged from nearly 1 month (0.05 years) to over 2 months (0.19 years) compared to the prospective method. Women surveyed in 2004 determined the age of the first menstruation more accurately compared to statements obtained 18 years later from the same women. This study suggests that long-term memory (LTM) of a significant life event of every woman is unreliable, as indicated by the difference in the declared age of the first menstruation of women examined in 2004 and 2022, which, in individual cases, was up to 3, 4 or 5 years.
Estimates of Variability, Correlation and DirectIndirect effects among Yield and its Allied Attributes in Sorghum (Sorghum bicolor (L.) Moench)

The present study was aimed to estimate the association and path analysis among 11 morphological and three physiological characters during kharif 2022 at Crop Research Centre, Department of Genetics and Plant Breeding, ITM University, Gwalior M.P. India. The study was carried out in Randomized Block Design in 3 replications for 30 sorghum varieties. Analysis revealed maximum positively significant association at phenotypic level between Grain yield per plant and dry fodder yield/plant (0.529) followed by green fodder yield/plant (0.518) respectively. At Genotypic level maximum positive and significant association was observed between Grain yield per plant and dry fodder yield per plant (0.538) followed by green fodder yield per plant (0.520). On the other hand, path analysis showed that at phenotypic level dry fodder yield per plant recorded the maximum direct effect (0.559) followed by panicle length (0.377), green fodder yield/plant (0.306) on grain yield/plant while the negative direct effect was maximum for days to 50% flowering (-0.343) followed by test weight (-0.183) and leaf temperature (-0.103). Similarly at genotypic level days to maturity recorded the maximum direct effect (1.975) followed by dry fodder yield per plant (0.721), number of leaves per plant (0.490), panicle length (0.244), stomatal count/microscopic field (0.139) while days to 50% flowering (-2.572) followed by transpiration rate (-0.171), test weight (-0.164), recorded the negative direct effect.
The Influence of Digital Technology Adoption by Small and Medium Enterprises and Online Consumer Behavior on the Success of E-commerce Platforms in Bandung City

This study looks into the complex relationships that exist between the use of digital technology by Small and Medium Enterprises (SMEs) in Bandung City, online consumer behavior, and the performance of e-commerce platforms. Through the use of structured surveys and a quantitative approach, information about digital technology integration, online customer behavior patterns, and markers of e-commerce success was gathered from 121 SMEs. The results show that consumer behavior dynamics are diverse, there is a moderate level of acceptance of digital technology, and both characteristics have a considerable beneficial impact on the performance of e-commerce. The key component that emerges is trust, underscoring the significance of building customer confidence in the digital economy. The study adds to our knowledge of the complex interactions that occur between customer engagement and technology adoption, providing SMEs navigating the digital landscape with useful insights.
Electronic Banking Services Adoption in Pakistan: Extending The Unified Theory of Acceptance and Use of Technology (UTAUT2) Model among Pakistani Consumers

Pakistan's banking sector has shown notable commitment to embracing modern financial services, like electronic banking, mobile banking, and payments through mobiles, electronic wallets, and engagement with these services. This study primarily aims to assess customer receptiveness toward adopting diverse e-banking services within emerging economies. The study employs the UTAUT2 framework, Unified Theory of Acceptance and Use of Technology, and extends it by incorporating additional components: awareness, security and privacy as a mediator and trust as a moderator. A survey-based approach gathered responses from 250 customers, and covariance-based structural equation modelling (CB-SEM) was employed for testing hypotheses. An empirical examination of the UTAUT2 model sheds light on the relationship between its dimensions and individuals' inclination to use e-banking services. The study highlights the significance of recently integrated variables in explaining consumers' willingness to embrace electronic banking services, offering valuable insights for the banking industry and contributing to the existing knowledge base. Additionally, the study provides recommendations for banks to enhance customer satisfaction and also to develop such strategies that will be helpful in attracting customers towards the usage of electronic services offered by the banks.
The Impact of Big Data Predictive Analytics on Firm Performance: The Role of Cloud ERP and Business Intelligence Integration

The purpose of this study was to investigate the relationship between Big Data Predictive Analytics (BDPA) dynamic capability and integration of cloud Enterprise Resource Planning (ERP) and Business Intelligence (BI) based on Technology-Organization-Environment (TOE) framework, and their impact on performance for Egyptian industrial organizations. The Survey was developed using constructs from previous studies that related to study variables, and it was then modified to fit needs of the study. A questionnaire list was utilized as the data collection instrument for a survey of 200 companies from various Egyptian industrial sectors, where the research hypothesis test was based on the method of structural equation modeling based on the partial least squares method based on variance to analyze data through "Smart-PLS" program, as this method is the most suitable for the characteristics of this research due to considerations of sample size and nature of data. The results indicated that a positive relationship between BDPA and the integration of BI and cloud ERP, as well as improving the Cloud ERP and BI integration have a moderate effect on both financial performance and operational performance in the Egyptian environment.
ANALYSIS OF THE EFFECT OF SUSTAINABILITY ON MANUFACTURING COMPANY’S FINANCIAL PERFORMANCE IN ASEAN-5 COUNTRIES

Sustainability has been a debatable topic for decades, which is why this study is conducted. Initially, sustainability was used as a corrective action and was directly related to the issue of climate change due to industrialization, so the idea of a sustainable and environmentally friendly business emerged. The effect of sustainability on the company's financial performance needs to be highlighted to prove whether sustainability activities generate competitive advantages and benefit the company or whether these activities are costly for the company. This study aims to analyze the effect of sustainability on a company's financial performance. We use Environmental, Social, and Governance (ESG) scores from Thomson Reuters Datastream to represent sustainability. The sample used in this research consists of manufacturing companies throughout ASEAN-5 countries from 2016-2020. The result revealed a significant negative effect of ESG on financial performance if ROE and OPM measure it. Environmental alone does not significantly impact financial performance, social has a significant negative effect on ROA, ROE, and OPM, and governance has a negative impact on ROA.
Use of a Residual Neural Network to Demonstrate Feasibility of Ship Detection Based on Synthetic Aperture Radar Raw Data

Synthetic Aperture Radar (SAR) is a well-established 2D imaging technique employed as a consolidated practice in several oil spill monitoring services. In this scenario, onboard detection undoubtedly represents an interesting solution to reduce the latency of these services, also enabling transmission to the ground segment of alert signals with a notable reduction in the required downlink bandwidth. However, the reduced computational capabilities available onboard require alternative approaches with respect to the standard processing flows. In this work, we propose a feasibility study of oil spill detection applied directly to raw data, which is a solution not sufficiently addressed in the literature that has the advantage of not requiring the execution of the focusing step. The study is concentrated only on the accuracy of detection, while computational cost analysis is not within the scope of this work. More specifically, we propose a complete framework based on the use of a Residual Neural Network (ResNet), including a simple and automatic simulation method for generating the training data set. The final tests with ERS real data demonstrate the feasibility of the proposed approach showing that the trained ResNet correctly detects ships with a Signal-to-Clutter Ratio (SCR) > 10.3 dB.
The dissociation of semantically congruent and incongruent cross-modal effects on the visual attentional blink

Introduction Recent studies have found that the sound-induced alleviation of visual attentional blink, a well-known phenomenon exemplifying the beneficial influence of multisensory integration on time-based attention, was larger when that sound was semantically congruent relative to incongruent with the second visual target (T2). Although such an audiovisual congruency effect has been attributed mainly to the semantic conflict carried by the incongruent sound restraining that sound from facilitating T2 processing, it is still unclear whether the integrated semantic information carried by the congruent sound benefits T2 processing. Methods To dissociate the congruence-induced benefit and incongruence-induced reduction in the alleviation of visual attentional blink at the behavioral and neural levels, the present study combined behavioral measures and event-related potential (ERP) recordings in a visual attentional blink task wherein the T2-accompanying sound, when delivered, could be semantically neutral in addition to congruent or incongruent with respect to T2. Results The behavioral data clearly showed that compared to the neutral sound, the congruent sound improved T2 discrimination during the blink to a higher degree while the incongruent sound improved it to a lesser degree. The T2-locked ERP data revealed that the early occipital cross-modal N195 component (192–228 ms after T2 onset) was uniquely larger in the congruent-sound condition than in the neutral-sound and incongruent-sound conditions, whereas the late parietal cross-modal N440 component (400–500 ms) was prominent only in the incongruent-sound condition. Discussion These findings provide strong evidence that the modulating effect of audiovisual semantic congruency on the sound-induced alleviation of visual attentional blink contains not only a late incongruence-induced cost but also an early congruence-induced benefit, thereby demonstrating for the first time an unequivocal congruent-sound-induced benefit in alleviating the limitation of time-based visual attention.
The Association of Serum Calprotectin with Fitness Indicators and Biochemical Markers in High-Level Athletes: A Continuous Dynamic Monitoring during One Competitive Season

The objective was to determine the associations between several biochemical indicators and the dynamics of concentration change across four physical fitness phases over the period of a competitive season. Furthermore, associations between serum calprotectin and biomarkers of inflammation or muscle injury and physical indicators were examined. Subjects and methods: Twenty professional male water polo players (median age: 28 (22–42)) were included in this study. Serum creatine kinase activity was determined by the automated photometric UV method. The concentrations of calprotectin, C-reactive protein, and myoglobin were measured using an automated immunoturbidimetric method, while an automated immunochemistry method was employed for interleukin-6, troponin I, and cortisol determination. Tests of repeated strength, maximal strength, and static strength were used to evaluate physical activity. Results: Serum calprotectin concentrations expressed in median and IQR were significantly different: T1: 2.92 g/mL (2.47; 3.86); T2: 2.35 g/mL (1.26; 2.87); T3: 2.27 g/mL (1.60; 3.27); and T4: 1.47 g/mL (1.04; 2.85) (p = 0.004). Cortisol concentration and CK activity showed significant changes among phases (p = 0.049 and p = 0.014, respectively). Each physical activity examined showed a significant seasonal decrease (all p values were 0.001). Calprotectin serum concentration and indicators of muscular injury, inflammation, and physical activity were found to be correlated during particular stages of the seasonal examination. Conclusions: Calprotectin values determined throughout one competitive season decreased as training intensity among water polo players increased. Serum calprotectin concentrations and indicators were related to biochemical markers of inflammation and muscle damage.
Machine Learning-Based Research for Material Property Analysis and Prediction of UHPC/CNT Composites

This paper aims to research and predict the expression of formability and compressive strength using machine learning (ML) technology for the composite materials manufactured by mixing CNTs with UHPC. To this end, numerical data of two material properties were collected through related experiments and literature data from a mixing ratio of 0 to 1% manufactured by mixing CNTs with UHPC. Afterwards, in order to predict the material properties of UHPC/CNT composite with various mixing ratios that have not been experimented and studied, the material properties were predicted using ML techniques, k-NN regression and decision tree method based on the collected data. As a result, data analysis with collecting similar kind of research and experimental data, it was confirmed that the formability significantly decreased when the CNTs mixing ratio was 0.4% or more. Also, compressive strengths in the detailed mixing ratio period from 0 to 1% could be predicted. This suggests that the properties of newly developed building materials through this study can be identified with high reliability using ML techniques.
Validation of the anxiety subscale of the Spanish version of the Edinburgh Postnatal Depression Scale (EPDS-A)

Introduction There is a need to implement routine perinatal mental health screening in Spain. Therefore, it is necessary to systematise the detection of depressive and anxious symptoms in pregnancy and postpartum using the same instrument. The Edinburgh Postnatal Stress Depression Scale (EPDS) is frequently used as a rapid, effective and cross-culturally validated screening tool for perinatal depression. In several countries, an Anxiety subscale, the EPDS-A, was identified within the EPDS. Although the factorial structure of the EPDS has been investigated in Spanish population, the EPDS-A has not yet been validated. This study aimed to validate the EPDS-A as a measure of perinatal anxiety in Spanish population. Methods 161 women were evaluated with the EPDS and the State–Trait Anxiety Inventory (STAI) during pregnancy and postpartum. Confirmatory factor analysis (CFA) was used to confirm the trifactorial structure of the EPDS, comprising the dimensions of Depression, Anhedonia and Anxiety. Likewise, the invariance of the trifactorial model between pregnancy and postpartum was tested. Finally, the correlations between the EPDS-A and the STAI subscales (State Anxiety and Trait Anxiety) were calculated. Results The Exploratory factor analysis (EFA) driven three-factor structure of the EPDS, consisting of an Anhedonia factor (Items 1, 2, and 10), an Anxiety factor (Items 3, 4, 5, and 6) and a Depression factor (Items 7, 8, and 9), was the best measurement model for the current data compared to the alternative model tested [χ2 = 34.592, df = 32, p = 0.34; χ2/df = 1.08; RMSEA = 0.023, 90% Confidence Interval [CI] [0.000, 0.064], CFI = 0.996, GFI = 0.960]. The model’s invariance between pregnant and postpartum women was confirmed. The existence of an Anxiety subscale within the EPDS was also confirmed. The scores obtained with the EPDS-A correlated moderately with scores on both subscales of the STAI during pregnancy and after delivery. Using the STAI as a criterion and prioritising the instrument’s sensitivity, a cut-off point of 4 points was established for the EPDS-A. Conclusion Our results confirm the trifactorial structure of the EPDS in Spanish population. The Anxiety subscale was validated for routine perinatal mental health screening.
Analysis of Sporulation in Bacillus cereus Biovar anthracis Which Contains an Insertion in the Gene for the Sporulation Factor σK

Bacillus cereus biovar anthracis (Bcbva) is an untypical pathogen causing a fatal anthrax-like disease in a variety of wildlife species in African rainforest areas. In contrast to Bacillus anthracis and most species of the B. cereus group, all strains of the Bcbva cluster contain a 22 kb insertion in the sigK gene which encodes the essential late sporulation sigma factor σK. This insertion is excised during sporulation in a site-specific recombination process resulting in an intact sigK gene and a circular molecule. The sporulation kinetics of two strains each of Bcbva and B. anthracis were compared by the expression analysis of eight sporulation-associated genes, including sigK, using reverse transcriptase quantitative real-time PCR. In addition, morphological sporulation stages were analyzed and quantified by electron microscopy. Our results indicated that the necessary excision of the insertion in Bcbva neither delayed nor inhibited its sporulation. In two spontaneous mutants of Bcbva, the excision of the sigK insertion and sporulation were impeded due to mutations in the spo0A and spoVG regulator genes, respectively. The spo0A frameshift mutation was overcome by intragenic suppression in a revertant which was able to sporulate normally, despite an M171S amino acid exchange in the global regulator Spo0A. A screening of the NCBI database identified further strains of the B. cereus group which possess unrelated insertions in the sigK gene, and two strains containing almost identical insertions at the same gene position. Some of the sigK insertions encode putative prophages, whereas the Bcbva insertion encoded a type I restriction–modification system. The function of these insertions and if they are possibly essential for sporulation remains to be assessed.
In Ischemic Heart Disease, Reduced Sensitivity to Pressure at the Sternum Accompanies Lower Mortality after Five Years: Evidence from a Randomized Controlled Trial

Background: Autonomic nervous system dysfunction (ANSD) is associated with negative prognosis of ischemic heart disease (IHD). Elevated periosteal pressure sensitivity (PPS) at the sternum relates to ANSD and sympathetic hyperactivity. Two previous observational case–control studies of the effect of reduction of PPS suggested lower all-cause mortality from IHD and stroke. We now used a specific daily, adjunct, non-pharmacological program of reduction of elevated PPS to test the hypothetical association between the intervention and reduced all-cause mortality in patients with stable IHD in a randomized controlled trial (RCT). Methods: We completed active (n = 106) and passive interventions (n = 107) and compared the five-year mortalities. We also compared the five-year individual all-cause mortality of each participant to approximately 35.000 members of the general population of Denmark. Pooling the mortality data from the active group of the RCT with the two preliminary studies, we registered the mortality following active intervention of 1.168 person-years, compared to 40 million person-years of the pooled general population. Results: We recorded fewer deaths of the active RCT intervention group than of the corresponding control group from the general population (p = 0.01), as well as of the passive RCT intervention group (p = 0.035). The meta-analysis of the three studies together demonstrated reduced 4.2-year all-cause mortality of 60% (p = 0.007). Conclusions: The test of the hypothetical effect of an intervention aimed at the attenuation of ANSD accompanied by a lowered PPS revealed reduced all-cause mortality in patients with stable IHD.
Social regulation of learning in interdisciplinary groupwork

Engineering education has seen a growing interest in how students regulate their learning as a group in interdisciplinary projects. This study adds to the current literature on social regulation of learning by conducting a comparative case study of three interdisciplinary group projects addressing real-world challenges. Semi-structured qualitative interviews were synthesised into narrative episodes representing key aspects of the groups ’ regulative behaviours. We found indications of co-and socially shared regulation across all groups, with noteworthy di ﬀ erences in the project phases that led to varying student experiences. We discuss key factors that a ﬀ ected regulation along four themes we identi ﬁ ed: (1) goal setting and planning, (2) implementation, monitoring, and evaluation, (3) the role of supervisors, and (4) the impact of disciplines. We o ﬀ er insights for practitioners and provide a foundation for future research on social regulation in interdisciplinary group learning.