Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Family Intervention on Physical Activity and Sedentary Behavior in Children Aged 2.5–12 Years: A Meta-Analysis

Introduction: To use a quantitative approach to examine the effects of family interventions on physical activity (PA) and sedentary behavior (SB) in children aged 2. 5–12 years. Methods: PubMed, OVID, Web of Science, and others were searched from their inception to May 2020. Intervention studies that examined the effects of family interventions on PA among children aged 2.5–12 years were included in this meta-analysis. Lastly, subgroup analyses were conducted to examine the potential modifying effects of family intervention's characteristics and study quality. Results: Eleven articles met the inclusion criteria for this review. Studies investigated a range of PA outcomes, including moderate-to-vigorous PA (MVPA), total PA (TPA), daily steps, and SB levels. Meta-analysis showed that family intervention had a significant effect on PA [standardized mean difference (SMD) = 0.10; 95% CI = 0.01–0.19], especially for daily steps [weight means difference (WMD) = 1,006; 95% CI = 209–1,803], but not for SB (WMD = −0.38; 95% CI = −7.21–6.46). Subgroup analyses indicated the improvements in PA occurred when children were 6–12 years old, intervention focused on PA only, intervention duration ≤ 10 weeks, and “low risk of bias” study performed. Conclusions: Family intervention may be a promising way to promote children's PA levels, especially for daily steps. Trial Registration: Meta-analysis protocol was registered on PROSPERO: CRD42020193667.
Pervaporation of water/alcohol mixtures through chitosan/cellulose acetate composite hollow-fiber membranes

For the purpose of separating aqueous alcohol by the use of pervaporation technique, a composite membrane of chitosan (CT) dip-coated cellulose acetate (CA) hollow-fiber membranes, CT-d-CA, was investigated. The effects of air-gap distance in the spinning of CA hollow-fiber membranes, chitosan concentration, and sorts of aqueous alcohol solutions on the pervaporation performances were studied. Compared with unmodified CA hollow-fiber membrane, the CT-d-CA composite hollow-fiber membrane effectively increases the permselectivity of water. The thickness of coating layer increases with an increase in chitosan concentration. As the concentration of chitosan solution increased, the permeation rate decreased and the concentration of water in the permeate increased. In addition, the effects of feed composition and feed solution temperature on the pervaporation performances were also investigated. The permeation rate and water content in permeate at 25°C for a 90 wt % aqueous isopropanol solution through the CT-d-CA composite hollow-fiber membrane with a 5-cm air-gap distance spun, 2 wt % chitosan dip-coated system were 169.5 g/m 2 h and 98.9 wt %, respectively.
Survival Regression Models With Dependent Bayesian Nonparametric Priors

Abstract We present a novel Bayesian nonparametric model for regression in survival analysis. Our model builds on the classical neutral to the right model of Doksum and on the Cox proportional hazards model of Kim and Lee. The use of a vector of dependent Bayesian nonparametric priors allows us to efficiently model the hazard as a function of covariates while allowing nonproportionality. The model can be seen as having competing latent risks. We characterize the posterior of the underlying dependent vector of completely random measures and study the asymptotic behavior of the model. We show how an MCMC scheme can provide Bayesian inference for posterior means and credible intervals. The method is illustrated using simulated and real data. Supplementary materials for this article are available online.
Enzymatic Decolorization of Textile Dyeing Effluents

Commercial azo, triarylmethane, antraquinonic, and indigoid textile dyes are efficiently decolorized with enzyme preparations from Pleurotus ostreatus, Schizophyllum commune, Neurospora crassa, Polyporus sp. , Sclerotium rolfsii, Trametes villosa, and Mycelioph tora thermophila. The nature of substituents on the dyes' benzene rings influences enzyme activity, and hydroxyl and amino groups enhance decolorization. The presence of lignin peroxidase and/or manganese peroxidase in addition to laccase (P. ostreatus, S. commune, S. rolfsii, N. crassa) increases decolorization by up to 25%. The effect of textile dyeing auxiliaries depends on the individual enzymes. Polyporus sp. and T. villosa are inhibited up to 20% by copper and iron chelating agents and anionic detergents, while the S. commune enzymes lose up to 70% of their activity.
Large‐scale dynamic, heat and moisture structures of monsoon‐influenced precipitation in the East Asian monsoon rainy area

This study investigated large‐scale dynamic structures along with heat and moisture budgets associated with monsoon‐influenced precipitation over a typical rainy domain in the East Asian monsoon region. Large‐scale dynamically and thermodynamically consistent forcing data based on multiple measurements were produced by a one‐dimensional constrained variational analysis method. Using the forcing data, distinct characteristics of large‐scale states were documented for cases of notable pre‐monsoon rainfall before the South China Sea monsoon onset (SCSMO), extreme rainfall during SCSMO, and persistent strong rainfall after SCSMO. The pre‐monsoon period mainly resulted from weak and discrete cloud regimes. The extreme‐rain period was associated with a severe deep convective system moving from the west, and the persistent‐rain period was related to moderate convective cells separated from the strong convective system over the northern South China Sea. Large‐scale features including vertical velocity, wind convergence, and diabatic heating and drying were the strongest (weakest) during the extreme‐rain (pre‐monsoon) period. For the pre‐monsoon and persistent‐rain periods, the period‐averaged profiles of vertical velocity and diabatic heating and drying showed a one‐peak structure. However, during the extreme‐rain period, a leap‐forward mutation was seen in the vertical structure and magnitude of these large‐scale states. The multiple peaks shown in the vertical profiles of vertical velocity and diabatic heating during the extreme‐rain period may indicate various convective cloud systems co‐existed. The diabatic heating profiles of extreme rainfall indicated that the first rainfall peak was related to the successive occurrence of stratiform anvils and convective clouds, while the second rainfall peak, which was most intense, was associated with shallow convective clouds, severe deep convective clouds, and detraining stratiform anvils.
Investigation of Intumescent Flame Retardant THEIC/APP on the Thermal Behaviors of Coal Based on Thermal Oxidative Kinetics

ABSTRACT In this work, the influences of the intumescent flame retardant (IFR) composed of tri-(2-hydroxyethyl) isocyanurate (THEIC) and ammonium polyphosphate (APP) on the coal were studied in order to effectively prevent and control the coal spontaneous combustion. The effects of IFR on the thermal behaviors of the coal were investigated by Kissinger and Flynn–Wall–Ozawa methods. The results have shown that the mass ratio of THEIC/APP = 1:2 has the best effect on the coal. It has a better carbonization performance and thermal stability at high temperature. The activation energy of the treated coal with 30 wt% IFR was increased up to 283.1 kJ/mol, indicating it is more difficult to be oxidized than that of raw coal (168.4 kJ/mol). At 200°C, the inhibition rate of coal treated by IFR reached approximately 56.5%. From fire extinguishing test, it can be found that an expanded carbonization layer was formed during the combustion for the treated coal with IFR which could effectively limit the transfer of heat, oxygen and combustible volatiles from the heat source to the coal, and prevent the coal from further burning. From this work, it is hoped to provide an efficient method to effectively prevent and extinguish the coal spontaneous combustion.
Dynamic QTL analysis for developmental behavior of cell wall components and forage digestibility in maize (Zea mays L.)

Background Cell wall architecture plays a key role in stalk strength and forage digestibility. Lignin, cellulose and hemicellulose are the three main components of the plant cell wall and can impact stalk quality by affecting cell wall structure and strength. To explore cell wall development during secondary cell wall lignification in maize stalks, conventional and conditional genetic mappings was used to identify the dynamic quantitative trait locus (QTL) for cell wall components and digestibility traits in five growth stages after silking. Results Acid detergent lignin (ADL), cellulose (CEL), Acid detergent fiber (ADF), neutral detergent fiber (NDF), and in vitro dry matter digestibility (IVDMD) of stalk were evaluated in a maize recombinant inbred line (RIL) population. The cell wall components gradually increased in the 10–40 days after silking (DAS), reached a maximum at 30–40 DAS, and then steadily decreased. IVDMD decreased over the initial 40 DAS and then increased slightly. Seventy-two QTL were identified for five traits and each accounted for 3.48–24.04% of the phenotypic resistance variation. Twenty-six conditional QTL were detected using conditional QTL mapping. 22 out of 24 conditional QTL were found for stages III|II and V|IV. Six QTL hotspots were found localized in bins 1.08, 2.04, 2.07, 7.03, 8.05, and 9.03 in the maize genome. Conclusion The unconditional pleiotropic QTL in bins 1.08 and 8.05 were also associated with stalk strength. Furthermore, several pleiotropic QTL for cell wall and digestibility were found not associated with stalk strength. A simultaneous improvement in forage digestibility and lodging resistance can be achieved by pyramiding multiple effective QTL identified in the present study.
Confronting the threat of SARS-CoV-2: Realities, challenges and therapeutic strategies (Review)

The novel coronavirus (SARS-CoV-2) appeared in2019 in Wuhan, China, and rapidly developed into a global pandemic. The disease has affected not only health care systems and economies worldwide but has also changed the lifestyles and habits of the majority of the world's population. Among the potential targets for SARS-CoV-2 therapy, the viral spike glycoprotein has been studied most intensely, due to its key role in mediating viral entry into target cells and inducing a protective antibody response in infected individuals. In the present manuscript the molecular mechanisms that are responsible for SARS-CoV-2 infection are described and a progress report on the status of SARS-CoV-2 research is provided. A brief review of the clinical symptoms of the condition and current diagnostic methods and treatment plans for SARS-CoV-2 are also presented and the progress of preclinical research into medical intervention against SARS-CoV-2 infection are discussed.
It Takes All Kinds (of Information) to Learn a Language: Investigating the Language Comprehension of Typical Children and Children With Autism

What factors influence children’s understanding of language in both typical and atypical development? In this article, I summarize findings from the Longitudinal Study of Early Language (LSEL), which has been following the talk, understanding, and interactions of typically developing children and children with autism spectrum disorder. The LSEL has found not only group similarities in syntactic understanding and word-learning strategies but also within-group variability that correlates with other aspects of the children’s behavior. In particular, early linguistic knowledge and social abilities have both been shown to play independent roles in later talk and understanding. Thus, theoretical perspectives that highlight social compared with linguistic underpinnings to language development should be viewed as complementary rather than competing.
Predictive analysis of real‐time strategy games: A graph mining approach

Machine learning and computational intelligence have facilitated the development of recommendation systems for a broad range of domains. Such recommendations are based on contextual information that is explicitly provided or pervasively collected. Recommendation systems often improve decision‐making or increase the efficacy of a task. Real‐time strategy (RTS) video games are not only a popular entertainment medium, they also are an abstraction of many real‐world applications where the aim is to increase your resources and decrease those of your opponent. Using predictive analytics, which examines past examples of success and failure, we can learn how to predict positive outcomes for such scenarios. The goal of our research is to develop an accurate predictive recommendation system for multiplayer strategic games to determine recommendations for moves that a player should, and should not, make and thereby provide a competitive advantage. Herein we compare two techniques, frequent and discriminative subgraph mining, in terms of the error rates associated with their predictions in this context. As proof of concept, we present the results of an experiment that utilizes our strategies for two particular RTS games.
Palladium-catalyzed synthesis of 2-substituted indoles

The palladium(0)-catalyzed cross-coupling reaction of alkynylstannanes with 2-bromoanilines or 2-trifloxyanilines results in the formation of 2-alkynylanilines. The coupling reaction tolerates substituents on the anilines, including ester, ether, chloro, and trifloxy groups. A palladium(II)-catalyzed intramolecular cyclization provides 2-substituted indoles. The cyclization proceeds without the need to reoxidize the metal and is most efficient with aliphatic substituents on the alkynyl terminus.
Crystal structures of tris(diethyldithiocarbamato)-antimony(III) and -bismuth(III)

The crystal structures of the title compounds, [Sb(S2C·NEt2)3], (I), and [Bi(S2C·NEt2)3](II) have been determined from X-ray diffractometer data by the heavy-atom method and refined by least squares to R 0.07 (I), 3 [332 reflections] and 0.09 (II)[6 029 reflections]. Crystals of both are monoclinic, Z= 4, space group P21/a; (I): a= 14.665(5), b= 13.619(5), c= 12.642(4)A, β= 99.86(4)°; (II): a= 14.825(4), b= 13.640(2), c= 12.605(3)A, β= 100.01(3)°. (I) and (II) are isostructural; the symmetry of the M(S2C)3 unit resembles the C3 symmetry of the arsenic derivative, with three short M–S bonds fac, one from each ligand [M–S 2.487(4)–2.631(4)(I); 2.595(5)–2.775(5)A(II)], and three long bonds [M–S 2.886(4)–2.965(4)(I); 2.956(5)–2.964(4)A(II)], with a considerable gap in the co-ordination about the pseudo-C3 axis suggesting a stereochemically active lone-pair. The inversion image of the molecule approaches near this direction also, with a weak intermolecular metal–sulphur interaction [M ⋯ SI, 3.389(4)(I), 3.210(4)A(II)].
Encapsulation of Au55 Clusters within Surface-Supported Metal–Organic Frameworks for Catalytic Reduction of 4-Nitrophenol

: We demonstrate a facile approach to encapsulate ligand stabilized Au 55 clusters [Au 55 (PPh 3 ) 12 Cl 6 ] within highly oriented surface supported metal − organic framework (SURMOF) thin ﬁ lms via liquid phase epitaxy. The Au 55 clusters were successfully loaded into the pores of SURMOF during their fabrication, which has been con ﬁ rmed by X ray di ﬀ raction, infrared spectroscopy, and ultraviolet − visible spectros copy. Computational modeling reveals that there is a strong interaction between the Au 55 core and the oligophenyl ligands of the MOF pore, leading to a removal of the PPH 3 ligands. The stabilized Au 55 clusters within SURMOF exhibit excellent catalytic activity for the reduction of 4 nitrophenol.
Determining the amount of past investment property using the synthesis of cost evaluation methods

During its existence, each property requires specific construction operations to extend its useful life. Such construction operations and related investment are usually carried out gradually in dependence on the durability of the building materials used. To determine the overall amount of investment, a synthesis of selected valuation methods is used in this contribution. The aim of the synthesis is to achieve the most accurate result of the investment made. In selected methods used, the value of the investment made is correlated using coefficient to the price level of the investment year. The resulting investment value determined by means of the cost pricing synthesis methodology provides more accurate results than the application of a specific valuation method for the entire set of items priced.
Production of N 2 O by Ammonia Oxidizing Bacteria at Subfreezing Temperatures as a Model for Assessing the N 2 O Anomalies in the Vostok Ice Core

It was suggested that the abnormally high N 2 O values found in 130,000–160,000 year-old Vostok ice core samples, characterized by high δ 15 N and low δ 18 O values, resulted from in situ microbial N 2 O production. To substantiate these observations we obtained new geochemical data from the last glacial period and showed the existence of additional small N 2 O anomalies. To test the hypothesis that microbial metabolism could contribute to these anomalies, we developed protocols for examining the ability of Nitrosomonas cryotolerans cells to produce N 2 O at subfreezing temperatures. Our results show that these model, frozen cultures produce N 2 O at temperatures as low as −32°C.
THE ALANINE DIPEPTIDE FREE ENERGY SURFACE IN SOLUTION

Molecular dynamics (MD) simulations have been used to determine the two dimensional free energy surface of the alanine dipeptide in solution. The intramolecular dipeptide interactions were described by the CHARMM22 force field. Three models of solvation were considered; (i) a simple scaling of electrostatic interactions, (ii) solvation energies determined by finite difference Poisson–Boltzmann calculations, and (iii) inclusion of explicit TIP3P solvent molecules. All three solvation models produced qualitatively similar effects, but differed significantly in their quantitative values. In particular, the continuum based models predicted the β (extended) conformation to be most stable, whereas the explicit solvent model favored the αR (folded) conformation. Comparison with experimental data for the H–N–Cα-Hα coupling constant, helix–coil transition thermodynamics, and polypeptide infinite chain length characteristic ratios was performed. The explicit solvent surface produced the strongest agreement with exp.
Iron(III) Extraction from Phosphoric Acid Solutions by Cyanex 301

Abstract The extraction of Fe(III) from phosphoric acid solutions of different concentration ranging from 0.4 up to 7.3 M by Cyanex 301 in toluene is presented. The numerical treatment of the experimental data by means of the Letagrop program has allowed to propose the extraction of a single complex of stoichiometry FeR3, HR being bis(2, 4, 4-trimethylpentyl) dithiophosphinic acid, for which the stoichiometric extraction constant values at each phosphoric acid concentration have been obtained. Taking into account the model of concentrated phosphoric acid proposed by Elmore, the activity coefficients of the aqueous species have been calculated and the stoichiometric equilibrium constant at each phosphoric acid concentration has been successfully correlated with the ionic strength. The value of the extraction constant at infinite dilution is also given (log K 0 30 = 8.55 ± 0.02).
Balanced substrate integrated waveguide filters with controllable finite transmission zeros

This article presents a design method for balanced substrate integrated waveguide (SIW) filters with controllable finite transmission zeros (FTZs). The balanced SIW filters are designed by combining one dual ‐ mode and four single ‐ mode SIW cavities. Characteristics of the proposed balanced SIW filters without and with cross ‐ coupling path are analysed in detail. The proposed balanced SIW filters can realize one or two controllable FTZs. Based on the characteristic of dual ‐ mode SIW cavity, good performance of common mode suppression can also be achieved. For the demonstration, some design examples with the centre frequency of 12.5 GHz are presented, and two design examples are fabricated to verify the performance of the proposed balanced SIW filters and the design method.
Structural transitions of lipid monolayers on metallic nanoparticles

Metallic nanoparticles are deposited on multilayers of an unsaturated phospholipid to form a planar nano-composite material. At temperatures near or above the main transition of the lipid, the organic layers exhibit a high degree of mobility and allow for a significant rearrangement of the metallic particles. Originally after deposition, the inter-particle distances correspond to the average bilayer thickness of the given phospholipid. After annealing of the composite structure in the presence of moisture, the spacing between the particles is significantly reduced, associated with an interdigitation of aliphatic chains in the hydrophobic region. This phenomenon is still observed after UV irradiation of the unsaturated hydrocarbon chains.
An Association between Inflammation and Cerebral Venous Thrombosis: A Retrospective Study.

OBJECTIVES Evidence is currently accumulating for the role of inflammation in cerebral venous thrombosis (CVT). Neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), monocyte/high-density lipoprotein ratio (MHR), and systematic immune-inflammation index (SII) are easily obtainable indicators of systemic inflammations. However, there were few studies on the relationship between them and CVT. Therefore, we aimed to evaluate the connection between the occurrence of CVT and the inflammatory markers described. MATERIALS AND METHODS The samples from 150 participants (including 90 CVT and 60 primary headaches as controls) with similar baseline characteristics were collected in this retrospective study. The NLR, PLR, MHR, SII and file records were employed to compare CVT patients with the control group. RESULTS The levels of NLR (3.93 [2.27, 7.87] vs. 1.65 [1.31, 2.06], P < 0.001), PLR (149.52 [98.39, 198.82] vs. 107.34 [83.31, 129.47], P < 0.001), SII (896.84 [559.89, 1591.87] vs. 382.45 [273.51, 520.92], P < 0.001) and MHR (0.51 [0.40, 0.64] vs. 0.41 [0.29, 0.53], P = 0.001) were significantly higher in the CVT group. After multivariate logistic regression analysis, the SII degree (13.136, [5.675, 30.407], P < 0.001) and MHR degree (2.620, [1.123, 6.113], P < 0.01) were found as independent predictors of CVT. CONCLUSIONS NLR, PLR, SII, and MHR may be able to assist in the diagnosis of CVT which confirmed that inflammation played an important role in CVT.