Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of chronic physical activity on cognition across the lifespan: a systematic meta-review of randomized controlled trials and realist synthesis of contextualized mechanisms

ABSTRACT In the surging field of chronic physical activity (PA) and cognition research, problems arise that prevent us from ‘seeing the forest for the trees’. The first aim was to identify them and propose solutions. Moreover, inconsistencies in conclusions of a rising amount of systematic reviews render necessary ‘an umbrella for a rain of evidence’. The second aim was to obtain a differentiated picture of moderators that may explain inconsistencies using the wide-angle lens of a systematic meta-review. We especially addressed the role of the PA context in causation mechanisms, complementing the meta-review with a realist approach that is best suited to identify context-mechanism-outcome (CMO) configurations. Main review outcomes are: (1) inconsistent grading of methodological quality and low consideration of external validity; (2) role of multiple moderators at participant-, intervention-, study-level but relative neglect of context-level moderators; (3) explanatory potential of CMO configurations, in which specific conditions of the context may trigger different mechanisms that generate PA effects on cognition. The majority of the proposed mechanisms converge on the concept of enrichment. Conclusions highlight the need for future research, in which PA interventions and their contexts are designed to mobilize the different mechanisms underpinning their individual and joint effects on cognition.
A 1.8-nW sub-1-V self-biased sub-bandgap reference for low-power systems

An ultra-low power sub-bandgap voltage reference circuit fab- ricated in a standard 0.18- (cid:22) m CMOS technology is proposed. Exploiting thenegativetemperaturecharacteristicsof V BE and V TH , anovelself-biased circuit conﬁguration with a combination of a parasitic BJT and MOSFETs is employed to achieve a temperature-compensated sub-bandgap voltage reference with nanowatt power dispassion. The measurement results show that, the proposed circuit provides an average reference voltage of 261.6 mV with a variation coeﬃcient of 0.86%. The line regulation (LR) is 0.26%/V in a supply voltage range of 0.9 V to 1.8 V at 27 ◦ C, and the power supply rejection ratio (PSRR) is (cid:0) 49 dB at 100 Hz. With one-time trimming, measurements performed over a set of 18 samples shows an average temperature coeﬃcient of 25.9 ppm/ ◦ C in a temperature range from (cid:0) 20 to 100 ◦ C. The power dissipation is 1.8 nW with a supply voltage of 0.9 V at 27 ◦ C. The chip area is 0.0038 mm 2 . voltage
What Psychology Students Want From Service-Learning

Background: Limited research has examined how service-learning (SL) outcomes align with learning goals proposed for the undergraduate psychology major by the APA Board of Educational Affairs Task Force on Psychology Major Competences. Objective: To obtain student perspectives of SL, and to evaluate learning and inform curriculum development of SL specific to psychology learning goals. Method: Undergraduate psychology students (N = 400) participated in a concurrent mixed-methods survey examining empathy, civic engagement, and professional identity between students who had and had not taken an upper-division SL course. Results: SL students reported increased engagement with APA learning goals of Ethical and Social Responsibility and Professional Development compared to students who did not take SL. SL students scored higher on civic engagement behaviors and professional identity. Students reported wanting more exposure to a range of psychology subdisciplines, various service opportunities, and multicultural diversity to support professional development. Conclusion: SL is a high-impact teaching practice that aligns with psychology learning goals. Teaching Implications: Findings informed the development of a generalist psychology SL course that introduced students to different domains of psychology. We discuss how to integrate learning activities to increase multicultural and other awareness, motivate social justice action, enhance career clarification, and increase professional self-efficacy.
Reducing uncertainties in urban drainage models by explicitly accounting for timing errors in objective functions

ABSTRACT Traditional hydrological objective functions may penalize models that reproduce hydrograph shapes well, but with some shift in time; especially for urban catchments with a fast hydrological response. Hydrograph timing is not always critical, so this paper investigates alternative objective functions (based on the Hydrograph Matching Algorithm) that try to mimic visual hydrograph comparison. A modified version of the Generalized Likelihood Uncertainty Estimation is proposed to compare regular objective functions with those that account for timing errors. This is applied to 2-year calibration and validation data sets from an urban catchment. Results show that such objective functions provide equally reliable model predictions (they envelop the same fraction of observations), but with more precision, i.e. smaller estimated uncertainty of model predictions. Additionally, identifiability of some model parameters improved. Therefore objective functions based on the Hydrograph Matching Algorithm can be useful to reduce uncertainties in urban drainage modelling.
Evolution of Urban Spatial Clusters in China: A Graph-Based Method Using Nighttime Light Data

An urban spatial cluster (USC) describes one or more geographic agglomerations and the linkages among cities. USCs are conventionally delineated based on predefined administrative boundaries of cities, without considering the dynamic and evolving nature of the spatial extent of USCs. This study uses Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) nighttime light (NTL) satellite images to quantitatively detect and characterize the evolution of USCs. We propose a dynamic minimum spanning tree (DMST) and a subgraph partitioning method to identify the evolving USCs over time, which considers both the spatial proximity of urban built-up areas and their affiliations with USCs at the previous snapshot. China is selected as a case study for its rapid urbanization process and the cluster-based economic development strategy. Four DMSTs are generated for China using the urban built-up areas extracted from DMSP/OLS NTL satellite images collected in 2000, 2004, 2008, and 2012. Each DMST is partitioned into various subtrees and the urban built-up areas connected by the same subtree are identified as a potential USC. By inspecting the evolution of USCs over time, three different types of USCs are obtained, including newly emerging, single-core, and multicore clusters. Using the rank-size distribution, we find that large-sized USCs have greater development than medium- and small-sized USCs. A clear directionality and heterogeneity are observed in the expansions of the ten largest USCs. Our study provides further insight for the understanding of urban system and its spatial structures, and assists policymakers in their planning practices at national and regional scales.
Multi-keV x-ray radiator from titanium cylindrical cavity at the Shenguang-III prototype laser facility

Great efforts have been made to create a bright K-shell source using the thin metal cylindrical cavities in the past few decades. Several metal materials such as titanium (Ti), iron, and so on have been tested for high x-ray conversion efficiency mainly at the OMEGA and NIF laser facilities. Recently, x-ray sources in Ti K-shell transition energy range were investigated at the Shenguang-III prototype laser facility with ∼5 kJ laser energy. The experiments were aimed to reproduce the previous ones at OMEGA, but with an extraordinarily small volume of cylindrical cavity and detailed characterizations of the x-ray source. The cavities were 800 μm inner diameter, 800 μm length, and 30 μm thick plastic tubes supporting 1 μm thick Ti. Seven laser beams were focused to 200 μm diameter. The combination of the small cavity volume and the focused laser spots is intended to improve the electron temperature with limited laser energy since the electron temperature is a key issue for high x-ray conversion efficiency. Thomson scattering was adopted to experimentally probe the electron temperatures at special time and space zones as well as the average temperature obtained from the Ti K-shell spectrum. The evolutions of the electron temperature and density are predicted by the radiation hydrodynamic simulation. A top view and two photon energy bands of x-ray source images provide a way to directly observe the plasma movement toward the cavity axis and distinguish the different emission mechanisms between the Ti K-shell and lower energy x rays. Six Higher-energy x-ray detectors located at different angles were used to record the Ti K-shell x-ray emission and demonstrate its isotropic feature. The characteristics of the x-ray radiate intensity including the time evolution, the angular distribution, and the total yields for both the photon energy regions above and below 4 keV are compared between the cavity and planar targets. Obviously, different behaviors were found between the two photon energy regions and the two types of targets. The x-ray conversion efficiency of the Ti cylinder was determined to be ∼ 4 % and ∼ 21 % in 4 π sr in the Ti K-shell (4–7 keV) and <4 keV range, respectively. The Ti K-shell conversion efficiency obtained in the present experiments is between the ones driven by 13.5 and 4.5 kJ laser energy at OMEGA.
Antecedents of level of social media use: exploring the mediating effect of usefulness, attitude and satisfaction

ABSTRACT This research aims to examine the relationship between antecedents of a proposed extended technology acceptance model (TAM) and level of social media use. It also tests the mediation effect of usefulness, attitude and satisfaction on level of social media use. The model is tested based on empirical work in the form of a large scale survey conducted on a convenience sample of Egyptian social media users. Data collection resulted in 413 usable questionnaires. Partial least squares-structural equation modelling was used to analyze data. Results indicate that perceived enjoyment, connectedness, and trust were found to have a significant impact on level of social media use. Both perceived usefulness and attitude were found to be significant mediators in the proposed extended TAM. Additionally, satisfaction was found to have a significant direct positive effect on level of social media use, but was not confirmed as a significant mediator. Findings provide support to the proposed model, thus confirming the significance of the proposed variables in the extended TAM, as well as the mediators being perceived usefulness and attitude, when studying antecedents of level of social media use.
Object-Based Land Use and Land Cover Change Detection in Multi Temporal Remote-Sensing Images

The changing of land use and land cover (LULC) are both affected by climate and human activity and affect climate, biological diversity, and human well-being. Accurate and timely information about the LULC pattern and change is crucial for land management decision-making, ecosystem monitoring, and urban planning, especially in developing economies undergoing industrialization, urbanization, and globalization. Biodiversity degradation and urban expansion in eastern China are research hot-spots. However, the influence of LULC changes on the region remains largely unexplored. Here, an object-based and multi-temporal image analysis approach was developed to detect how LULC changes during 1985-2015 in the Tiaoxi watershed (Zhejiang province, eastern China) using Landsat TM and OLI data. The main objective of this study is to improve the accuracy of unsupervised change detection from object-based and multi-temporal images. To this end, a total of seven LULC maps are generated with multi-temporal images. A random stratified sample design was used for assessing change detection accuracy. The proposed method achieved an overall accuracy of 91.86%, 92.14%, 92.00%, and 93.86% for 2000, 2005, 2010, and 2015, respectively. Nevertheless, the proposed method, in conjunction with object-oriented and multi-temporal satellite images, offers a robust and flexible approach to LULC changes mapping that helps with emergency response and government management. Urbanization and agriculture efficiency are the main reasons for LULC changes in the region. We anticipate that this freely available data will improve the modeling for surface forcing, provide evidence of changes in LULC, and inform water-management decision-making.
Two-Port CPW-Fed Dual-Band MIMO Antenna for IEEE 802.11 a/b/g Applications

A coplanar waveguide- (CPW-) fed dual-band multiple-input multiple-output (MIMO) antenna for 2.45/5.5 GHz wireless local area network (WLAN) applications is presented in this paper. The presented MIMO antenna consists of two identical trapezoidal radiating elements which are perpendicular to each other. The size of the entire MIMO antenna is 50 × 50 × 1.59 mm3, which is printed on a FR4 substrate. The measured impedance bandwidth of the proposed antenna is 2.25–3.15 GHz and 4.89–5.95 GHz, which can cover IEEE 802.11 a/b/g frequency bands. A rectangular microstrip stub is introduced to achieve a good isolation which is less than −15 dB in both operation frequency bands. The measured peak gain is 5.59 dBi at 2.45 GHz and 5.63 dBi at 5.5 GHz. The measured antenna efficiency is 77.8% and 80.4% in the lower and higher frequency bands, respectively. The ECC values at the lower and higher frequencies are lower than 0.003 and 0.01, respectively.
Estimation in quantile regression models for correlated data with diverging number of covariates and large cluster sizes

Abstract In many data analytic problems, repeated measurements with a large number of covariates are collected and conditional quantile modeling for such correlated data are often of significant interest, especially in medical applications. We propose a quadratic inference functions based approach to take into account the correlations within clusters and use smoothing to make the objective function amenable to computation. We show that the asymptotic properties of the estimators are the same whether or not smoothing is applied, established in the “diverging p, large n” setting. The cluster sizes are also allowed to diverge with sample size n. Simulation results are presented to demonstrate the effectiveness of the proposed estimator by taking into account the within-cluster correlations and we use a longitudinal data set to illustrate the method.
Effect of a Simvastatin-Impregnated Chitosan Scaffold on Cell Growth and Osteoblastic Differentiation

This study aims to evaluate the effect of chitosan (CS) scaffold, alone, and the potential synergistic effect when impregnated with simvastatin (SIM), on immortalized human bone-marrow mesenchymal stem cells (hbMMSCs) compared to CollaCote (CL). CS scaffolds were fabricated and seeded with immortalized hBMMSCs. Samples were divided into control groups (negative with no added material and positive with CL added) and four experimental groups: CS alone, CS/SIM 0.01, 0.03, and 0.05 mg, respectively. Cell viability, osteoblastic differentiation and calcium deposition were investigated via AlamarBlue, alkaline phosphate activity assays and alizarin red S staining at 1 and 14 days, respectively. At day one, no significant difference was noted between the groups regarding cell viability. However, all CS/SIM groups showed significant cutback at day 14 in cell proliferation compared to CS alone and CL groups (p < 0.001). All groups supported osteoblastic differentiation with no significant difference. Alkaline phosphate activity increased in both time periods in the CS/SIM 0.05 mg group compared to the other SIM groups, with no significant difference among the experimental groups. Chitosan scaffold is a bioactive compatible material capable of regenerative potential of hBMMSCs and a promising material to be used for perforation repair.
Simultaneous absorption of SO_2 and NO from flue gas with KMnO_4/CaCO_3 slurry

Experiments on simultaneous desulfurization and denitrification were conducted with KMnO4/CaCO3 in a jet bubbling reactor.The influence of oxidizer concentration,SO2 concentration,NO concentration,slurry pH value,immersion depth,slurry concentration,flue gas temperature on removal efficiencies of SO2 and NO were examined.Experimental results show that the NO removal efficiency increases with the increase in oxidizer concentration,SO2 concentration,immersion depth and slurry concentration,and it decreases with the increase in NO concentration.The SO2 removal efficiency can be raised by increasing the oxidizer concentration,SO2 concentration,pH value and slurry concentration,and the NO concentration and flue gas temperature have no effect on the SO2 removal efficiency.There is no obvious relationship between the NO removal efficiency and the pH value and the slurry temperature.
The effect of silica modified by deep eutectic solvents on the properties of nature rubber/silica composites

The effect of deep eutectic solvent (DES) modified silica on the properties of nature rubber (NR) composites were investigated. The DES is an environment-friendly and low-cost solvent, which was prepared by mixing choline chloride and urea in a 1:2 molar ratio. The NR composites filled with DES modified silica were prepared and the properties were tested. The interaction between the DES and silica were characterized by Fourier transform infrared spectroscopy (FTIR), the interaction between silica and silica were tested by differential scanning calorimetry (DSC). The dynamic properties, such as rolling resistance and wet skid resistance, and were tested by dynamic mechanical analysis (DMA). Morphologies of the composites were characterized by scanning electron microscopy (SEM). The results indicate that the DES can interact with silica by hydrogen bond to improve the compatibility between the rubber and silica. When the content of DES was 3 phr, the tensile strength, modulus at 300%, tear strength, and the crosslinking density of the composites was increased. At the same time, the proper content of DES can reduce the rolling resistance of the vulcanized rubber while maintaining good wet skid resistance.
Research on the Dynamic Evolution of Scientific and Technological Innovation Efficiency in Universities and Identification of Influencing factors—based on Markov Chain Estimation and GMM Model

A scientific and comprehensive measurement of the efficiency of scientific and technological innovation activities is the basis and prerequisite for evaluating the existing environment and conditions of universities and is conducive for improving the efficiency and promoting the development of provincial economy. The paper selects the DEA (Data Envelopment Analysis) method to measure the efficiency of scientific and technological innovation in universities of China from 2007 to 2019 and studies its spatial differences. Then, the paper uses Markov chain estimation to describe the dynamic evolution process of the efficiency, and finally uses system GMM (generalized method of moments) model to identify the key influencing factors of its efficiency. The conclusions obtained are as follows: (1) The scientific and technological innovation efficiency in universities presents the highest distribution characteristics in the eastern part, the western part of China has the lowest, and the central part is midway of the two regions. There are significant differences between regions. (2) During the entire observation period, the efficiency in each region showed a path-dependent characteristic. After 2016, the mobility of different levels of technological innovation efficiency of universities in eastern part of China has increased, while in the central and western parts of China it tends to be stable. (3) Economic advantages, location advantages, government support, research and development foundation, and the efficiency of scientific and technological innovation in universities have a significant relationship, and the results are different in different regions.
Optimization of the Passive Recovery of Uranium from Seawater

The aim of this study is to optimize the design and deployment conditions utilized by a technology for passively collecting uranium from seawater in order to achieve the minimum uranium production cost. Given the complicated empirically driven nature of the cost calculation, which uses discounted cash flow techniques to follow the life cycle costs of a unit mass of adsorbent, the cost calculation tool is treated as a black box model, and thus the minimization employs a derivative free optimization method, chosen to be the Nelder–Mead simplex method. By use of an illustrative base case, the uranium production cost is minimized, resulting in a 20% savings. From there, sensitivity analyses are considered in order to provide insight as to how the optimal deployment conditions are determined and to shed light on significant cost drivers. It is determined that optimizing the deployment conditions and improving the uranium binding kinetics can significantly decrease production cost. The results presented in this.
The extended discontinuous Galerkin method adapted for moving contact line problems via the generalized Navier boundary condition

In this work, an extended discontinuous Galerkin (extended DG/XDG also called unfitted DG) solver for two‐dimensional flow problems exhibiting moving contact lines is presented. The generalized Navier boundary condition is employed within the XDG discretization for the handling of the moving contact lines. The spatial discretization is based on a symmetric interior penalty method and the numerical treatment of the surface tension force is done via the Laplace–Beltrami formulation. The XDG method adapts the approximation space conformal to the position of the interface and allows a sub‐cell accurate representation within the sharp interface formulation. The interface is described as the zero set of a signed‐distance level‐set function and discretized by a standard DG method. No adaption of the level‐set evolution algorithm is needed for the extension to moving contact line problems. The developed solver is validated against typical two‐dimensional contact line driven flow phenomena including droplet simulations on a wall and the two‐phase Couette flow.
EMOTIONAL INTELLIGENCE AND STUDENTS’ ACADEMIC ACHIEVEMENT

Emotional Intelligence (EI) is essential attribution among school learners of today. In this respect, determination and normalization of the measures to investigate and recognize dimensions levels help educators have a successful intervention and increase students' academic achievement level. This research aimed to explore the relationship between Emotional Intelligence (EI) and the academic achievement of Arabic basic school students in China. Further, it also sought to determine the level of students' emotional intelligence and motivation to learn. The research aims are addressed through a tool that explores emotional intelligence and motivation. A 60-item for initial emotional intelligence scale was utilized and analyzed to test their psychometric properties by pilot testing. A final total of 303 students with ages ranged between 12-16 years old participated in the research. The research findings suggested the final formulation of items of the emotional intelligence scale that can measure the levels of emotional intelligence of students along with a significantly positive relationship to academic achievement. There were statistically significant differences in the respondents' level of emotional intelligence according to the gender variable. In comparison, there were no statistically significant differences in the respondents' level of emotional intelligence according to the grade variable. Recommendations of the research were presented. Keywords: emotional intelligence, academic achievement, factor analysis, development and relationship