Miracle-dz/UniFAR-FTUs huggingface dataset:
Mothering and Fathering, or just Parenting: Measurement Invariance of Parental Beliefs by Gender

In the ongoing discussion about the possible differences between mothering and fathering, tests of measurement invariance play an important role. However, there remains a need to investigate the measurement invariance of parental beliefs by gender. Mothers (n = 2,236) and fathers (n = 1,106) who attended parenting education courses reported on their beliefs using both original and validated measures. Using factor analytic techniques, we estimated a series of nested models that applied parameter constraints hierarchically to assess measurement invariance between mothers and fathers for these parenting beliefs. Results indicated strict invariance for some, but not all, constructs. Namely, beliefs regarding facilitating children’s independence and beliefs regarding structure were invariant, whereas beliefs regarding connection showed levels of systematic difference between genders. Testing invariance allows researchers to shed light on which aspects of parenting are the same and which are different, and to what extent mothering and fathering can be directly compared.
An Advanced CNN-LSTM Model for Cryptocurrency Forecasting

Nowadays, cryptocurrencies are established and widely recognized as an alternative exchange currency method. They have infiltrated most financial transactions and as a result cryptocurrency trade is generally considered one of the most popular and promising types of profitable investments. Nevertheless, this constantly increasing financial market is characterized by significant volatility and strong price fluctuations over a short-time period therefore, the development of an accurate and reliable forecasting model is considered essential for portfolio management and optimization. In this research, we propose a multiple-input deep neural network model for the prediction of cryptocurrency price and movement. The proposed forecasting model utilizes as inputs different cryptocurrency data and handles them independently in order to exploit useful information from each cryptocurrency separately. An extensive empirical study was performed using three consecutive years of cryptocurrency data from three cryptocurrencies with the highest market capitalization i.e., Bitcoin (BTC), Etherium (ETH), and Ripple (XRP). The detailed experimental analysis revealed that the proposed model has the ability to efficiently exploit mixed cryptocurrency data, reduces overfitting and decreases the computational cost in comparison with traditional fully-connected deep neural networks.
Unmanned aerial vehicles (UAV)-based canopy height modeling under leaf-on and leaf-off conditions for determining tree height and crown diameter (case study: Hyrcanian mixed forest)

Tree height and crown diameter are two common individual tree attributes that can be estimated from unmanned aerial vehicle (UAV) images thanks to photogrammetry and structure from motion. This research investigates the potential of low-cost UAV aerial images to estimate tree height and crown diameter. Two successful flights were carried out in two different seasons corresponding to leaf-off and leaf-on conditions to generate a digital terrain model and a digital surface model, which were further employed in calculation of a canopy height model (CHM). The CHM was used to estimate tree height using low pass and local maximum filters, and crown diameter was estimated based on an inverse watershed segmentation algorithm. UAV-based tree height and crown diameter estimates were validated against field measurements and resulted in 3.22 m (10.1%) and 0.81 m (7.02%) root mean square errors, respectively. The results showed high agreement between our estimates and field measurements, with an R2 of 0.808 for tree height and an R2 of 0.923 for crown diameter. Generally, the accuracy of the results was considered acceptable and confirmed the usefulness of this approach for estimating tree heights and crown diameter.
Exploring Influence Factors of WeChat Users’ Health Information Sharing Behavior: Based on an Integrated Model of TPB, UGT and SCT

ABSTRACT In this digital era, social media plays a significant role in information distribution. Health information sharing behavior is an essential component of information exchange, which has become one of the key research fields in health communication. Yet, knowledge about the influence factors of health information sharing behavior in social media remains limited. Hence, drawing from the theory of planned behavior (TPB), uses and gratifications (U&G), and social cognitive theory (SCT), this study explored the impact factors of health information sharing intention and behavior. To examine the research model, an online survey was drawn up and administered to 412 WeChat users. The results of structural equation modeling (SEM) analysis revealed that the research model fits the data well. Our finding indicated that these factors impact users’ health information sharing behavior on WeChat via their attitude, subjective norm, perceived self-efficacy, and behavioral intention in various patterns. It was found that three factors positively influence both attitude toward behavior and subjective norm: status seeking, social interaction, and norm of reciprocity. We also found that social support has positive effects on the subjective norm within the context of health information sharing, but the critical mass has no effect on the subjective norm. Moreover, we found that entertainment is not the impact factor for users’ attitude toward behavior, but information needs. Overall, this study not only enriched the existing literature on health information sharing behavior and presents a new integrated conceptual model to explain multiple variables that affect WeChat users’ sharing behavior regards to health information, but also provides important theoretical and practical implications regarding motivating public participation through information sharing on social media in health communication.
Diagnostic Evaluation of Streptococcus gallolyticus Infection in Patients with Colon Diseases by PCR Method

Objective: Different types of Streptococcus gallolyticus are associated with malignant colorectal cancer. This study aimed at scrutinizing the S. gallolyticus screening using polymerase chain reaction (PCR). Methods: A descriptive study was conducted to detect S. gallolyticus in 55 patients with colon diseases referring to hospitals in Babol and Chalus, Iran. PCR and culture techniques were performed. Detection of S. gallolyticus after DNA extraction from designed primers (PCO3 and PCO4) was done for SODA gene. Fisher's exact test was used for the analysis of PCR results. A P < 0.05 was considered significant. Results: Of 55 biopsy samples of patients with colon diseases, 3 samples (5.5%) with 95% confidence interval and 52 samples (94.5%) were reported negative in terms of DNA of S. gallolyticus. In the analysis of PCR gels, the remaining 406 bp band after performing PCR showed that all samples were in good condition considering DNA quality. Conclusion: Specific probes have been designed from S. gallolyticus l6S rD. PCR techniques now allow for rapid identification of S. gallolyticus strains for clinical and other scientific investigations in colon disease.
Developmental defects of enamel, sociodemographic aspects and systemic diseases: Is there association?

Objective: Evaluate the prevalence of developmental defects of enamel (DDE) in permanent molars and its association with sociodemographic characteristics and systemic conditions in children treated at the paediatric dentistry clinic of private dental school. Material and Methods: The sample consisted of 706 medical records of children aged 8 to 12 years of both sexes, treated between 2004 and 2017. The inclusion criteria included the presence of the first 4 permanent molars, absence of syndromes related to enamel malformations and dentoalveolar trauma in the first 3 years of life and complete medical records. The dependent variable (hypomineralization/hypoplasia) and the independent variables (sociodemographic and health variables) were collected and evaluated using descriptive analysis, association tests (chi-square) and logistic regression, at a significance level of 5%. Results: The prevalence of DDE in the first permanent molars was 55.95%, with no association with sociodemographic characteristics. Conclusions: The association of DDE in the first 4 permanent molars with the independent variables such as caesarean, forceps or preterm delivery and systemic diseases until 3 years of age were statistically significant.
What Do Environmental Flows Mean for Long-term Freshwater Ecosystems’ Protection? Assessment of the Mexican Water Reserves for the Environment Program

Almost a decade ago, the Mexican government targeted to establish environmental water reserves (EWR)—a volume of water allocated for ecological protection based on the Environmental Flow Mexican Norm (eflows, NMX-AA-159-SCFI-2012, ratified in 2017)—in strategic low-pressured for water use and high conservation importance river basins throughout the country. To date, 12 EWRs have been declared for up to 50 years, which encompass 295 river basins and ~55% of the national mean annual runoff (MAR). In this article, we conducted a quality evaluation of the EWRs established. First, the EWR level was analyzed against the MAR and according to wider hydrological conditions. The EWR fulfillment was evaluated by comparing the volumes enacted against the theoretical (Norm implementation). Our findings revealed that independently of individual and regional water use and conservation merits context, ~75% of the EWRs met theoretical volumes at least at an acceptable level, of which medians ranged from 24% to 73% MAR (natural parametrization and A–D environmental objectives). These outcomes prove the usefulness and consistency of the Mexican strategic hierarchical approach for eflow assessments. We aim for them to be considered as the baseline for future on-site eflow implementation and environmental water policy assessments, to show the nationwide potential benefits for protecting free-flowing rivers and to encourage a regional escalation of the strategy.
Online and offline social support deterioration: the effect of financial stress exposure on depressive symptoms

ABSTRACT Social support is a prominent factor in mental health etiology. According to the social support deterioration model, exposure to chronic stressors may over time erode people's social support, thereby contributing to increases in mental health issues. Although there is mounting evidence indicating the beneficial consequences of online social support, the extent to which social support deterioration takes place in an online context is to date not investigated. In this study, we tested if exposure to financial stress is associated with depressive symptoms and whether this association can be explained by decreases in both perceived online and offline social support respectively. Using data from a 2016 survey of a representative sample of inhabitants of Ghent (Belgium) (n = 1150, 51.5% female, Mage = 45.4, SDage = 15.9), we were able to confirm that a reduction in perceived online social support mediates the positive association of financial stress exposure with depressive symptoms, albeit only weakly and indirectly via its association with perceived offline social support. Our findings suggest that the association of online social support with respect to financial stress and mental health is comparable to its offline counterpart, yet its part should not be overstated. These findings allow us to discuss the offline role of online social support.
Spatial Skills and Perceptions of Space: Representing 2D Drawings as 3D Drawings inside Immersive Virtual Reality

Rapid freehand drawings are of great importance in the early years of university studies of architecture, because both the physical characteristics of spaces and their sensory characteristics can be communicated through them. In order to draw architectural spaces, it is necessary to have the ability to visualize and manipulate them mentally, which leads us to the concept of spatial skills; but it also requires a development of spatial perception to express them in the drawings. The purpose of this research is to analyze the improvement of spatial skills through the full-scale sketching of architectural spaces in virtual immersive environments and to analyze spatial perception in reference to the capture of spatial sensations in virtual immersive environments. Spatial skills training was created based on the freehand drawing of architectural spaces using Head Mounted Displays (HMD) and registered the spatial sensations experienced also using HMD, but only in previously modeled realistic spaces. It was found that the training significantly improved orientation, rotation and visualization, and that the sensory journey and experimentation of architectural spaces realistically modeled in immersive virtual reality environments allows for the same sensations that the designer initially sought to convey.
The Impacts of Emotions and Personality on Borrowers’ Abilities to Manage Their Debts

Abstract This paper examines the impacts of retail borrowers’ emotions and personality traits on their abilities to engage in appropriate responses when things unexpectedly go wrong and they get into debt repayment difficulties. We establish several scenarios where borrowers are hit with unforeseen circumstances that affect their abilities to make their loan payments and we classify and evaluate the riskiness of the strategies they state that they would adopt in those situations. Via an extensive on-line survey conducted in the UK, we show that borrowers who were most comfortable about taking on debts in the first place, those who show neurotic tendencies, and those who believe that they have control over events rather than being controlled by them, are more likely to undertake high risk strategies when faced with unforeseen issues that affect their ability to meet their debt interest and repayment costs. We also find that respondents who identify as feeling excited, alert or guilty, as well as younger borrowers and those who are single or renters, are more likely to opt for risky approaches. Our findings have potentially important implications for lenders, regulators and debt counselling services regarding the types of people who are most likely to get into debt troubles.
Intellectual capital and financial performance: Case of the emerging market banks

Using the value added intellectual capital (VAIC) this study aims to investigate the impact of intellectual capital (IC) on the performance of Jordanian banks listed in the Amman Stock Exchange (ASE) during the years 2005-2018. Two empirical models were designed to test the effect of VAIC, and its three components including capital employed efficiency (CEE), human capital efficiency (HCE) and structural capital efficiency (SCE) on banking performance. The results of the study show that there is a significant and positive relationship between VAIC and banks profitability presented by return on assets (ROA). Meanwhile, when VAIC is split into components, SCE, CEE and HCE have a significant and positive impact on banks performance. Yet, CEE has more influence on performance compared to HCE and SCE. This study contributes to the literature as well as practitioners in financial institutions by providing evidence on the influence of intellectual capital on banks performance in an emerging economy, Jordan, in which its national vision and strategy emphasize the importance of intellectual capital in sustaining its economic growth.
Do climate-smart agricultural practices drive food security of maize farming households in Ogun state, Nigeria?

Using multiple Climate-Smart Agricultural Practices (CSAP) have proven to be effective in combating the challenges of climate variability which affect the food security of smallholders, especially cereal farmers. Limited information exists on CSAP users and food security in Nigeria. Therefore, the effect of CSAP on food security among maize farmers in Ogun State, Nigeria was examined. Primary data was collected from 252 maize farmers with the aid of a well-structured questionnaire through a three-stage sampling procedure and analyzed using descriptive statistics, household dietary diversity score, Simpson index and ordered logit regression model. On the average, the maize farmers were 47 years old, had household size of five persons and farm size of 1.8ha. Most maize farmers were high users of CSAP (60.00%) and also food insecure (54.15%) due to low dietary diversity score while, 45.85% were food secure due to medium and high dietary diversity. The level of CSAP used, positively influenced the probability of being food secure at 5% significance level, alongside age and access to extension agents at 1% level. Being a male maize farmer and household size reduced the probability of food security at 1% level. It was concluded that Climate-Smart Agricultural Practices improve food security among maize farmers and should thus be encouraged. Food security programs among farmers should target older farmers and females while increasing access to extension services and enlightenment on birth control measures.
Porphyry Cu–Au ± Mo mineralization hosted by potassic igneous rocks: implications from the giant Peschanka porphyry deposit, Baimka Trend (North East Siberia, Russia)

Abstract Porphyry Cu–Au ± Mo mineralization at Peschanka is hosted by monzodiorite and monzonite intrusions with high-K calc-alkaline to shoshonitic compositions and dated at about 144.1 ± 1.5 Ma, using U/Pb zircon ages. The Cretaceous intrusions are emplaced in a melange of Cretaceous island arcs, a tectonic setting comparable with other world-class porphyry Cu–Au deposits, such as Oyu Tolgoi, Mongolia and Pebble, Alaska. Abundant primary magnetite contents of the Peschanka intrusions, as well as numerous gypsum and anhydrite veins, reflect the high oxidation states of their parental magmas. This mineralogical interpretation is confirmed by high whole-rock Fe2O3/FeO ratios and high V/Sc ratios of the rocks of up to 1.27 and up to 21.9, respectively. The whole-rock Eu/Eu* ratios of the Peschanka intrusions are ≥1 which is also typical for potassic igneous rocks with high oxidation states. Abundant amphibole and biotite phenocrysts of the intrusions as well as their high whole-rock Sr/Y ratios of up to 225 document significantly high H2O contents of the high-K magmas. Peschanka contains a resource of >9.5 Mt of copper at an average grade of 0.43 wt% and 16.5 Moz of gold at a high average grade of 0.23 g/t and thus represents one of the largest undeveloped greenfield copper projects worldwide. The vicinity of Peschanka still offers significant brownfield exploration potential. The hypogene vein-related and disseminated Cu–Au ± Mo sulfide mineralization at Peschanka is structurally controlled by significant NE-trending strike-slips that acted as the conduits for the hydrothermal fluids. The central part of the orebody consists of high-grade north–south-trending sheeted quartz–bornite veining with unusually high vein densities. The highest Cu and Au grades are directly correlated with high vein densities. Peschanka is defined by distinct hydrothermal alteration zones including potassic, phyllic, propylitic and argillic assemblages, but a distinct lack of advanced argillic alteration. The mineralization itself is also zoned ranging from a central Mo–Cpy–Bn sulfide assemblage to a peripheral Py–Mt-dominated zone (‘pyrite-shell’). Late-stage polymetallic assemblages overprint and surround the main stockwork zone.
Overstorey composition shapes across‐trophic level community relationships in deciduous forest regardless of fragmentation context

Communities across trophic levels, and the functional roles they play, are vital for the sustained provision of ecosystem services. In forest systems, diversification of overstorey composition has been shown to be a key driver of biodiversity, but its influence on across‐trophic level relationships remains scarcely known. Species across trophic levels in varied overstorey compositions are also differentially susceptible to fragmentation context. We hypothesise that fragmentation will disrupt community relationships associated with particular overstorey compositions. We test this hypothesis using a tree diversity research platform across 53 deciduous woodland plots in central Belgium. We estimate species’ abundances within nine, generally taxonomic, community groups across trophic levels: understorey vegetation; leaf miners and gall formers; woodlice, millipedes; carabid beetles, harvestmen, spiders, birds, bats. We use multiple co‐inertia analyses to examine how taxonomic and trophic role community matrices covary across gradients of overstorey composition, via three different tree species diversification pathways, and fragmentation. For all trophic role groups, across all plots, there was at least one significant pairwise comparison. Apart from comparisons involving bats, there was at least one significant pairwise correlation between taxonomic groups too. These results indicate correlated community matrices across trophic levels. Overstorey composition related to community tightness, that is, the level of co‐ordinated change among taxonomic and/or trophic role groups as revealed by multiple co‐inertia analyses. Notably, diversifying woodlands of beech Fagus sylvatica or red oak Quercus rubra with pedunculate oak Quercus robur correlated with increased taxonomic community tightness. Diversifying pedunculate oak forest stands with other overstorey species related to unchanged community tightness. Evidence was lacking for fragmentation affecting community tightness, singly or by interacting with overstorey composition. Synthesis. Overall, changing tree species composition and fragmentation level affected across‐trophic level community relationships differently. Yet, we demonstrated a clear signal that diversifying monoculture stands with particular species correlated with greater community tightness, and co‐ordinated change among sets of community groups, across trophic levels and regardless of fragmentation context. We postulate that having tighter community relationships suggests that measures to improve biodiversity at one trophic level (i.e. trees) could affect other groups, and their associated roles, in a co‐ordinated manner.
An SVEIRE Model of Tuberculosis to Assess the Effect of an Imperfect Vaccine and Other Exogenous Factors

This study extends a deterministic mathematical model for the dynamics of tuberculosis transmission to examine the impact of an imperfect vaccine and other exogenous factors, such as re-infection among treated individuals and exogenous re-infection. The qualitative behaviors of the model are investigated, covering many distinct aspects of the transmission of the disease. The proposed model is observed to show a backward bifurcation, even when R v < 1 . As such, we assume that diminishing R v to less than unity is not effective for the elimination of tuberculosis. Furthermore, the results reveal that an imperfect tuberculosis vaccine is always effective at reducing the spread of infectious diseases within the population, though the general effect increases with the increase in effectiveness and coverage. In particular, it is shown that a limited portion of people being vaccinated at steady-state and vaccine efficacy assume a equivalent role in decreasing disease burden. From the numerical simulation, it is shown that using an imperfect vaccine lead to effective control of tuberculosis in a population, provided that the efficacy of the vaccine and its coverage are reasonably high.