Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation Analysis between Residents' Income Satisfaction and Mental Health Based on Big Data

This paper presents an in-depth study and analysis of the correlation between satisfaction with rural residents' income and mental health well-being in the context of industrial structure upgrading. Most of the studies on residents' subjective well-being from the perspective of relative income or income inequality have started from the happiness of rural residents and the satisfaction of rural residents' life, and few scholars have focused on the psychological health of rural residents. Subjective well-being is significantly related to external and internal goals in desire. Life satisfaction is significantly and positively correlated with external and internal goals, as well as the six dimensions of desire, except for social identity; positive emotions are significantly and positively correlated with internal goals; negative emotions are only negatively correlated with self-acceptance, and there is a significant positive correlation between income level and desire. In vertical income, there is also a process of judging whether the expected income is achieved. If the expected income growth level is achieved, the income satisfaction will increase. Desire mediates the effect of income level on subjective well-being. Income level influences subjective well-being through internal goals; income level influences life satisfaction and positive emotions through external goals. The relationship between income inequality and mental health is influenced by the characteristics of the population, with women and middle-aged people being the most negatively affected. This relationship is also influenced by income level, with the effect of income inequality on mental health showing a negative effect in the lower and middle-income groups but a positive effect in the higher income groups. Income inequality affects residents' mental health through the mediating effects of a sense of social justice, life stress, and trust in government. Inequality in household wealth can exacerbate the negative effects of income inequality on mental health.
Optimal Coordinated Control of DC Microgrid Based on Hybrid PSO–GWO Algorithm

Microgrids (MGs) are capable of playing an important role in the future of intelligent energy systems. This can be achieved by allowing the effective and seamless integration of distributed energy resources (DERs) loads, besides energy-storage systems (ESS) in the local area, so they are gaining attraction worldwide. In this regard, a DC MG is an economical, flexible, and dependable solution requiring a trustworthy control structure such as a hierarchical control strategy to be appropriately coordinated and used to electrify remote areas. Two control layers are involved in the hierarchy control strategy, including local- and global-control levels. However, this research focuses mainly on the issues of DC MG’s local control layer under various load interruptions and power-production fluctuations, including inaccurate power-sharing among sources and unregulated DC-bus voltage of the microgrid, along with a high ripple of battery current. Therefore, this work suggests developing local control levels for the DC MG based on the hybrid particle swarm optimization/grey wolf optimizer (HPSO–GWO) algorithm to address these problems. The key results of the simulation studies reveal that the proposed control scheme has achieved significant improvement in terms of voltage adjustment and power distribution between photovoltaic (PV) and battery technologies accompanied by a supercapacitor, in comparison to the existing control scheme. Moreover, the settling time and overshoot/undershoot are minimized despite the tremendous load and generation variations, which proves the proposed method’s efficiency.
Examining Consumers’ Adoption of Smart Wearable Payments

Smart wearable (SW) devices have attracted the users’ attention and their utility has been increasingly employed in different arenas of life. Of late, it is expected that wearable payments will be the norm of mobile payments soon. Recognizing the SW payments as an emerging innovation, this study investigates the consumers’ adoption of SW payments. A survey method was used to collect data from SW devices users in Saudi Arabia. For this purpose, online questionnaires were distributed and a total of 269 responses were received within that 243 operational cases were used for data analysis. Partial least squares structural equation modeling (PLS-SEM) technique was employed to analyze the data. The statistical tools employed for data analysis are SmartPLS 3.0 and SPSS23. The findings show that all hypothesized relationships were supported except the compatibility and perceived ease of use relationship which was found insignificant. Additionally, the moderating role of personal innovativeness on behavioral intention and actual use relationship was also confirmed. Although TAM is an established robust model of technology adoption, however, the integration of technological features like (perceived esthetics, compatibility, and convenience) make it a more vigorous model for adoption of the smart wearable device.
Emergent Role of IFITM1/3 towards Splicing Factor (SRSF1) and Antigen-Presenting Molecule (HLA-B) in Cervical Cancer

The IFITM restriction factors play a role in cancer cell progression through undefined mechanisms. We investigate new protein–protein interactions for IFITM1/3 in the context of cancer that would shed some light on how IFITM1/3 attenuate the expression of targeted proteins such as HLA-B. SBP-tagged IFITM1 protein was used to identify an association of IFITM1 protein with the SRSF1 splicing factor and transporter of mRNA to the ribosome. Using in situ proximity ligation assays, we confirmed a predominant cytosolic protein–protein association for SRSF1 and IFITM1/3. Accordingly, IFITM1/3 interacted with HLA-B mRNA in response to IFNγ stimulation using RNA–protein proximity ligation assays. In addition, RT-qPCR assays in IFITM1/IFITM3 null cells and wt-SiHa cells indicated that HLA-B gene expression at the mRNA level does not account for lowered HLA-B protein synthesis in response to IFNγ. Complementary, shotgun RNA sequencing did not show major transcript differences between IFITM1/IFITM3 null cells and wt-SiHa cells. Furthermore, ribosome profiling using sucrose gradient sedimentation identified a reduction in 80S ribosomal fraction an IFITM1/IFITM3 null cells compared to wild type. It was partially reverted by IFITM1/3 complementation. Our data link IFITM1/3 proteins to HLA-B mRNA and SRSF1 and, all together, our results begin to elucidate how IFITM1/3 catalyze the synthesis of target proteins. IFITMs are widely studied for their role in inhibiting viruses, and multiple studies have associated IFITMs with cancer progression. Our study has identified new proteins associated with IFITMs which support their role in mediating protein expression; a pivotal function that is highly relevant for viral infection and cancer progression. Our results suggest that IFITM1/3 affect the expression of targeted proteins; among them, we identified HLA-B. Changes in HLA-B expression could impact the presentation and recognition of oncogenic antigens on the cell surface by cytotoxic T cells and, ultimately, limit tumor cell eradication. In addition, the role of IFITMs in mediating protein abundance is relevant, as it has the potential for regulating the expression of viral and oncogenic proteins.
Investigation of individual perceptions towards BIM implementation-a Chongqing case study

Purpose The purpose of this paper is to target on individual perceptions of BIM practice in terms of BIM benefits, critical success factors (CSFs) and challenges in Chongqing which represented the less BIM-developed metropolitan cities in China. Design/methodology/approach Adopting a questionnaire-survey approach followed by statistical analysis, the study further divided the survey population from Chongqing into subgroups according to their employer types and organization sizes. A further subgroup analysis adopting statistical approach was conducted to investigate the effects of employer type and organization size on individual perceptions. Findings Subgroup analysis revealed that governmental employees held more conservative and neutral perceptions toward several items in BIM benefit, CSFs and challenges. It was inferred that smaller organizations with fewer than 100 full-time employees perceived more benefits of BIM in recruiting and retaining employees, and considered more critical of involving companies with BIM knowledge in their projects. Originality/value This study contributed to the body of knowledge in managerial BIM in terms that: it extended the research of individual perceptions toward BIM implementation by focusing on less BIM-mature regions; it contributed to previous studies of influencing factors to BIM practice-based perceptions by introducing factors related to organization type and sizes; and it would lead to future research in establishing BIM climate and culture which address perceptions and behaviors in BIM adoption at both individual and organizational levels.
Who detects and why: how do individual differences in cognitive characteristics underpin different types of responses to reasoning tasks?

Abstract People can solve reasoning tasks in different ways depending on how much conflict they detected and whether they were accurate or not. The hybrid dual-process model presumes that these different types of responses correspond to different strengths of logical intuitions, with correct responses given with little conflict detection indicating very strong, and incorrect responses given with little conflict detection very weak logical intuitions. Across two studies, we observed that individual differences in abilities, skills, and dispositions underpinned these different response types, with correct non-detection trials being related to highest, and incorrect non-detection trials to lowest scores on these traits, both for cognitive reflection and belief-bias tasks. In sum, it seems that every individual difference variable that we measured was important for the development of strong logical intuitions, with numeracy and the need for cognition being especially important for intuitive correct responding to cognitive reflection tasks. In line with the hybrid dual-process model, we argue that abilities and dispositions serve primarily for developing mindware and strong intuitions, and not for detecting conflict, which has repercussions for the validity of these tasks as measures of reflection/analytical thinking.
Ion Distributions in Saturn s Magnetosphere Near Titan During Non-Voyager Interaction Conditions

[1] Titan's interaction with Saturn's magnetosphere is studied using a combination of a three-dimensional (3-D) single-fluid magnetohydrodynamic (MHD) simulation and a test particle/Monte Carlo model. The MHD simulation includes an exosphere model based on the one used in the work of Cravens et al. (1998), simple ionospheric processes such as ion production, ion-neutral friction and dissociative recombination and provides a general picture of Titan's plasma environment. The fields from the MHD simulation are then used to calculate the trajectories of 1.4 × 106 ions. We calculate the velocity space distribution and differential energy flux for ambient H+ and N+ ions and for three generic species of pickup ions found upstream of, and within, Titan's plasma wake. The three generic pickup ion species we use are: light (e.g., H+ or H2+), medium (e.g., N+, CH4+, or CH5+), and heavy (e.g., N2+, HCNH+, or some other ionized heavy exospheric species) with representative masses 1, 14, and 28 amu. We also determine the ion flux into Titan's exobase for each species. The ambient ions are assumed to have a drifting Maxwellian distribution consistent with the Voyager observations, while the pickup ions are created with a radial distribution proportional to the neutral density profiles from the neutral exosphere model used in the 2-D MHD model of Cravens et al. (1998). The possibility that the ambient N+ ions may have a shell distribution rather than a Maxwellian is also considered. The modeled ion distributions are compared with data from the Voyager 1 Plasma Science Instrument (PLS).
The lipid flippase Drs2 regulates anterograde transport of Atg9 during autophagy

Macroautophagy/autophagy is a conserved catabolic pathway during which cellular material is sequestered within newly formed double-membrane vesicles called autophagosomes and delivered to the lytic compartment of eukaryotic cells for degradation. Autophagosome biogenesis depends on the core autophagy-related (Atg) machinery, and involves a massive supply and remodelling of membranes. To gain insight into the lipid remodelling mechanisms during autophagy, we have systematically investigated whether lipid flippases are required for this pathway in the yeast Saccharomyces cerevisiae. We found that the flippase Drs2, which transfers phosphatidylserine and phosphatidylethanolamine from the lumenal to the cytosolic leaflet of the limiting membrane at the trans-Golgi network, is required for normal progression of autophagy. We also show that Drs2 is important for the trafficking of the core Atg protein Atg9. Atg9 is a transmembrane protein important for autophagosome biogenesis and its anterograde transport from its post-Golgi reservoirs to the site of autophagosome formation is severely impaired in the absence of Drs2. Thus, our results identify a novel autophagy player and highlight that membrane asymmetry regulates early autophagy steps.
Guiding children's learning of mathematics

Part I: Foundations for teaching mathematics: Mathematics today for elementary schools Foundations for planning effective teaching Organizing for instruction Assessment in elementary school mathematics. Part II: Four general standards: Mathematics and problem solving Communication, reasoning and connections. Part III: Procedures and materials: Early experiences with mathematics Extending understanding of numbers and numeration Teaching addition and subtraction of whole numbers Teaching multiplication and division of whole numbers Informal geometry Fractional numbers common fractions Fractional numbers Decimal fractions and percent Measurement Tables, graphs, statistics, and probability.
“You are stealing our present”: Younger people's ageism towards older people predicts attitude towards age‐based COVID‐19 restriction measures

Abstract The COVID‐19 pandemic emerged to be a fertile ground for age‐based prejudice and discrimination. In particular, a growing literature investigated ageism towards older people at the individual and the interpersonal level, providing evidence of its prevalence, antecedents and negative consequences. However, less much is known on the phenomenon at the intergroup level. To fill this gap, the present correlational research investigated the effects of younger people's endorsement of ageism towards older people on the attitude towards COVID‐19 restriction measures primarily targeted to older (vs. younger) population. In the autumn of 2020, five hundred and eighty‐two Italian participants (83.3% females; M age = 20.02, SD age = 2.83) completed an online questionnaire. Results revealed that the younger people's endorsement of ageism towards older people increased the attribution of culpability for the severity of COVID‐19 restriction measures to older (vs. younger) people, which, in turn positively affected the attitudes towards older (vs. younger) people isolation and support for selective lockdown on older population only. The main contributions of the study, limitations, future research directions, and practice implications are discussed.
Griffiths-like behavior in Ge-rich magnetocaloric compounds Gd5(SixGe1−x)4

The unusual low field magnetic behavior is revealed in the dc and ac magnetic susceptibility measurements of Gd5(SixGe1−x)4 (x<∼0.5). These anomalies can be ascribed to the presence of short range ferromagnetic correlations and ferromagnetic clustering in both antiferromagnetic and paramagnetic states. As a result, a novel triangular regime is discovered in the low field magnetic and crystallographic temperature-composition (T-x) phase diagram. The nature of paramagnetic state in this regime can be understood within the framework of Griffiths-like model, which not only originates from the disorder and the modification of competing interslab and intraslab magnetic exchange interactions induced by orthorhombic-monoclinic structural distortion but also correlates with the thermal history or initial magnetic disordering.
Teachers, Parents and Peers Support in Reading Predicting Changes in Reading Motivation among Fourth to Sixth Graders: A Systematic Literature Review

Abstract While most educational models point toward cognitive and metacognitive skills to promote reading comprehension, recent studies indicate that motivation also plays a key role. Consequently, studying social factors that may support reading motivation represents an interesting research avenue. We therefore performed a systematic review of the literature to highlight the types of reading support provided by teachers, parent, or peers that predict changes in reading motivation among students in grades 4 to 6. Restricting our sample to peer-reviewed articles published in the last twenty years, we identified 7208 research papers from electronic databases. From these, we selected papers focused on 4th to 6th graders with normative development, using reading supports (from either teachers, parents, or peers) as independent variable(s) and reading motivation as the dependent variable, and having at least two waves of data. At the end of the selection process, 16 studies were eligible for data extraction. Our synthesis suggests that the current state of research in the field of reading motivation does not allow the identification of reading interventions that are undoubtedly effective in promoting reading motivation. However, it appears that supporting students’ psychological needs is generally an effective way of producing positive changes in their reading motivation.
Blood and Urinary Biomarkers of Antipsychotic-Induced Metabolic Syndrome

Metabolic syndrome (MetS) is a clustering of at least three of the following five medical conditions: abdominal obesity, high blood pressure, high blood sugar, high serum triglycerides, and low serum high-density lipoprotein (HDL). Antipsychotic (AP)-induced MetS (AIMetS) is the most common adverse drug reaction (ADR) of psychiatric pharmacotherapy. Herein, we review the results of studies of blood (serum and plasma) and urinary biomarkers as predictors of AIMetS in patients with schizophrenia (Sch). We reviewed 1440 studies examining 38 blood and 19 urinary metabolic biomarkers, including urinary indicators involved in the development of AIMetS. Among the results, only positive associations were revealed. However, at present, it should be recognized that there is no consensus on the role of any particular urinary biomarker of AIMetS. Evaluation of urinary biomarkers of the development of MetS and AIMetS, as one of the most common concomitant pathological conditions in the treatment of patients with psychiatric disorders, may provide a key to the development of strategies for personalized prevention and treatment of the condition, which is considered a complication of AP therapy for Sch in clinical practice.
Fusion of Multidimensional CNN and Handcrafted Features for Small-Sample Hyperspectral Image Classification

Hyperspectral image (HSI) classification has attracted widespread concern in recent years. However, due to the complexity of the HSI gathering environment, it is difficult to obtain a great number of HSI labeled samples. Therefore, how to effectively extract the spatial–spectral feature with small-scale training samples is the crucial point of HSI classification. In this paper, a novel fusion framework for small-sample HSI classification is proposed to fully combine the advantages of multidimensional CNN and handcrafted features. Firstly, a 3D fuzzy histogram of oriented gradients (3D-FHOG) descriptor is proposed to fully extract the handcrafted spatial–spectral feature of HSI pixels, which is suggested to be more robust by overcoming the local spatial–spectral feature uncertainty. Secondly, a multidimensional Siamese network (MDSN), which is updated by minimizing both contrastive loss and classification loss, is designed to effectively exploit the CNN-based spatial–spectral features from multiple dimensions. Finally, the proposed MDSN combined with 3D-FHOG is utilized for small-sample HSI classification to verify the effectiveness of our proposed fusion framework. The experimental results on three public data sets indicate that the proposed MDSN combined with 3D-FHOG is significantly better than the representative handcrafted feature-based and CNN-based methods, which in turn demonstrates the superiority of the proposed fusion framework.
Standoff Infrared Measurements of Chemical Plume Dynamics in Complex Terrain Using a Combination of Active Swept-ECQCL Laser Spectroscopy with Passive Hyperspectral Imaging

Chemical plume detection and modeling in complex terrain present numerous challenges. We present experimental results from outdoor releases of two chemical tracers (sulfur hexafluoride and Freon-152a) from different locations in mountainous terrain. Chemical plumes were detected using two standoff instruments collocated at a distance of 1.5 km from the plume releases. A passive long-wave infrared hyperspectral imaging system was used to show time- and space-resolved plume transport in regions near the source. An active infrared swept-wavelength external cavity quantum cascade laser system was used in a standoff configuration to measure quantitative chemical column densities with high time resolution and high sensitivity along a single measurement path. Both instruments provided chemical-specific detection of the plumes and provided complementary information over different temporal and spatial scales. The results show highly variable plume propagation dynamics near the release points, strongly dependent on the local topography and winds. Effects of plume stagnation, plume splitting, and plume mixing were all observed and are explained based on local topographic and wind conditions. Measured plume column densities at distances ~100 m from the release point show temporal fluctuations over ~1 s time scales and spatial variations over ~1 m length scales. The results highlight the need for high-speed and spatially resolved measurement techniques to provide validation data at the relevant spatial and temporal scales required for high-fidelity terrain-aware microscale plume propagation models.
Numerical Analysis of the Primer Location Effect on Ground Vibration Caused by Blasting

Ground vibration is one of the undesirable results of blasting operations. Different methods have been proposed to predict and control ground vibration that is caused by blasting. These methods can be classified as laboratory studies, fieldwork and numerical modeling. Among these methods, numerical modeling is the one which saves time and cuts costs since it takes into account the basic principles of mechanics and provides step by step time-domain solutions. In order to use numerical analysis in predicting the results of blasting operations, the accuracy of the output must be verified through field test. In this study, ground vibration caused by blasting in a field operation in Miduk Copper Mine was recorded using 3-components seismometers of the Vibracord seismograph and analyzed by Vibration-Meter software. Propagation of the waves caused by blasting in the mine slope was modeled using discrete element logic in the UDEC numerical software and compared to the results of the field test. Having tested the accuracy of the results obtained, the effect of primer location and the direction of detonation propagation in the blast hole on the rate of ground vibration caused by blasting was investigated. The results show that by changing primer location from the bottom of the hole to its top, the rate of ground vibration caused by blasting increases.