207 research outputs found

    Strain engineering and photocatalytic application of single-layer ReS2_2

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    We present a theoretical study on the electronic, dynamical, and photocatalytic properties of single-layer ReS2_2 under uniaxial and shear strains. The single-layer ReS2_2 shows strong anisotropic responses to straining. It remains dynamically stable for a wide range of xx-axial strain, but becomes unstable for 2\% yy-axial compressive strain. The single-layer ReS2_2 is calculated to be an indirect bandgap semiconductor, and there is an indirect−-direct bandgap transition under 1−-5\% xx-axial tensile straining. The single-layer ReS2_2 is predicted incapable of catalyzing the water oxidation reaction. However, 1−-5\% yy-axial tensile strain can enable the single-layer ReS2_2 for overall photocatalytic water splitting. Besides, the single-layer ReS2_2 can also catalyze the overall water splitting and be most efficient under acidic water solutions with pH=3.8

    Sequence entropy for amenable group actions

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    We study the sequence entropy for amenable group actions and investigate systematically spectrum and several mixing concepts via sequence entropy both in measure-theoretic dynamical systems and topological dynamical systems. Moreover, we use sequence entropy pairs to characterize weakly mixing and null systems

    Repeated sexual intercourse as a coping strategy for men with premature ejaculation

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    Background: Patients with premature ejaculation (PE) are often concerned and distressed about their sexual performance. Hence, they may be more willing to exploit their refractory period to employ sexual coping strategies in order to improve their unsatisfactory sexual intercourse compared with patients without PE. Aim: The study sought to verify the sexual coping strategies of patients with PE in the daily sexual activities. Methods: We included both patients with PE and individuals without PE and analyzed their sexual behaviors and attitudes by means of detailed interviews and questionnaires. Outcomes: The main outcomes were perceived intravaginal ejaculatory latency time recording, Premature Ejaculation Diagnostic Tool score, and sexual frequency, attitudes, and behavior log. Results: A total of 182 young patients with PE (age 31.2 ± 6.2 years) and 92 individuals without PE (age 30.7 ± 5.1 years) were included in the study. A total of 53.3% of patients with PE vs 17.4% of individuals without PE reported engaging in multiple sexual intercourse sessions within a single day in the past 4 weeks. PE patients who engaged in multiple intercourse sessions displayed better performance during the second attempt but performed poorly compared with individuals without PE. Scores for the first attempt in PE vs second attempt in individuals with PE vs without PE were the following: intravaginal ejaculatory latency time, 2.4 ± 1.6 vs 4.8 ± 5.7 vs 9.9 ± 9.4 (P < .001); Premature Ejaculation Diagnostic Tool, 14.9 ± 3.1 vs 12.7 ± 4.8 vs 5.2 ± 2.5 (P < .001); satisfaction, 2.9 ± 1.0 vs 3.1 ± 0.8 vs 3.7 ± 1.4 (P < .001). A total of 57.1% of patients held a negative attitude toward precoital masturbation, for reasons such as a reduced sexual desire (21.2%), the belief that masturbation is harmful (17.6%), concerns about erectile function (15.7%), fatigue (9.8%), and other mixed reasons (35.3%). Clinical implications: Engaging in multiple intercourse sessions within a day is more common among the young PE population, and using precoital masturbation as a coping strategy is not universally applicable among patients with PE. Strengths and limitations: This is the first study to explore symptom-coping strategies in patients with PE compared with individuals without PE. However, the conclusions cannot be generalized to the entire male population. Conclusion: Patients with PE, compared with individuals without PE, are more inclined to engage in multiple sexual intercourse sessions within a single sexual session, likely in an attempt to compensate for their first unsatisfactory sexual encounter. Moreover, the majority of patients with PE here studied hold a negative attitude toward using precoital masturbation as a coping strategy for symptoms

    Distribution of protein components of wheat from different regions

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    The distribution of wheat protein components in different regions was researched to provide a theoretical basis on variety selection, quality improvement and food processing. 146 varieties from eight regions were collected to measure contents of protein components (albumin, globulin, gliadin and glutenin) in different regions for the distribution. The largest variation coefficient occurred in contents of globulin, followed by those of gliadin and albumin, while the contents of glutenin varied with the smallest range. The contents of all protein components belonged to normal distribution. It was discovered that the contents of albumin and globulin skewed towards the high value, while glutenin content skewed towards the low value. Differences on the contents of protein components existed in samples from different regions; the regional distribution of four protein components is: the northern region > the southern region > the western region > the eastern region. The contents of protein components of Yannong 19 in different regions were determined, the results displayed that the distributions of four protein components showed the same trends, although the highest contents occurred in Shanxi as compared to the other three regions (Shandong, Jiangsu and An’hui), and there were little differences among them. Geographical conditions can affect the protein components of wheat, and gliadin and glutenin content can affect wheat quality, so we can designate areas where wheat contains more gliadin and glutenin as our high-quality wheat producing areas, of which Shaanxi is a better choice.Keywords: Wheat, protein components, different regions, distributio

    BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization

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    Evolutionary reinforcement learning (ERL) algorithms recently raise attention in tackling complex reinforcement learning (RL) problems due to high parallelism, while they are prone to insufficient exploration or model collapse without carefully tuning hyperparameters (aka meta-parameters). In the paper, we propose a general meta ERL framework via bilevel optimization (BiERL) to jointly update hyperparameters in parallel to training the ERL model within a single agent, which relieves the need for prior domain knowledge or costly optimization procedure before model deployment. We design an elegant meta-level architecture that embeds the inner-level's evolving experience into an informative population representation and introduce a simple and feasible evaluation of the meta-level fitness function to facilitate learning efficiency. We perform extensive experiments in MuJoCo and Box2D tasks to verify that as a general framework, BiERL outperforms various baselines and consistently improves the learning performance for a diversity of ERL algorithms.Comment: Published as a conference paper at European Conference on Artificial Intelligence (ECAI) 202

    Hepatotoxicity induced by zoledronic acid in an aged woman with primary osteoporosis

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    Zoledronic acid, a bisphosphonate, has been approved for treatment and prevention of osteoporosis. This case describes a 73-year-old woman with primary osteoporosis who developed transient hepatotoxicity after zoledronic acid (ZOL) treatment. Three days after ZOL infusion, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and gamma-glutamyltransferase (GGT) were increased by 9.9, 8.1, and 3.7 times, respectively, compared with pretreatment values. Liver protective agents were administered. The aminotransferase returned within normal ranges 12 days post-infusion. Currently, the relationship of ZOL and liver damage is not quite clear, which cannot be explained by its pharmacokinetics. The aim of this case report is to increase the clinician’s awareness of the possible adverse effect on the liver, and ZOL should be cautiously administered in patients with liver disease

    Evaluating Soil Resistance Formulations in Thermal‐Based Two‐Source Energy Balance (TSEB) Model: Implications for Heterogeneous Semiarid and Arid Regions

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    Relatively small fluctuations in the surface energy balance and evapotranspiration in semiarid and arid regions can be indicative of significant changes to ecosystem health. Therefore, it is imperative to have approaches for monitoring surface fluxes in these regions. The remote sensing‐based two‐source energy balance (TSEB) model is a suitable method for flux estimation over sparsely vegetated semiarid and arid landscapes since it explicitly considers surface energy flux contributions from soil and vegetation. However, previous studies indicate that TSEB generally underestimates sensible heat flux (H) and hence overestimates latent heat flux (LE) or evapotranspiration for these regions unless soil resistance coefficients are modified based on additional ground information. In this study, TSEB is applied over semiarid and arid regions on three continents using the original soil resistance formulation with modified coefficients and a recently developed physically based soil resistance formulation. Model sensitivity analysis demonstrates the high sensitivity of TSEB with original soil resistance formulation to soil resistance coefficients, while TSEB with the new soil resistance formulation has relatively low sensitivity to uncertainties in all coefficients. The performance of TSEB using different soil resistance formulations is evaluated by comparing modeled H against eddy covariance measurements in six semiarid and arid study sites and ranking the error statistics. Our results indicate that incorporating the new soil resistance formulation into TSEB would enhance its utility in flux estimation over heterogeneous landscapes by obviating its reliance on semiempirical coefficients and thus provide more robust fluxes over sparsely vegetated regions without model calibration and/or parameter tuning.info:eu-repo/semantics/publishedVersio

    Improved bioenergy value of residual rice straw by increased lipid levels from upregulation of fatty acid biosynthesis

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    BackgroundRice (Oryza sativa) straw is a common waste product that represents a considerable amount of bound energy. This energy can be used for biogas production, but the rate and level of methane produced from rice straw is still low. To investigate the potential for an increased biogas production from rice straw, we have here utilized WRINKLED1 (WRI1), a plant AP2/ERF transcription factor, to increase triacylglycerol (TAG) biosynthesis in rice plants. Two forms of Arabidopsis thaliana WRI1 were evaluated by transient expression and stable transformation of rice plants, and transgenic plants were analyzed both for TAG levels and biogas production from straw.ResultsBoth full-length AtWRI1, and a truncated form lacking the initial 141 amino acids (including the N-terminal AP2 domain), increased fatty acid and TAG levels in vegetative and reproductive tissues of Indica rice. The stimulatory effect of the truncated AtWRI1 was significantly lower than that of the full-length protein, suggesting a role for the deleted AP2 domain in WRI1 activity. Full-length AtWRI1 increased TAG levels also in Japonica rice, indicating a conserved effect of WRI1 in rice lipid biosynthesis. The bio-methane production from rice straw was 20% higher in transformants than in the wild type. Moreover, a higher producing rate and final yield of methane was obtained for rice straw compared with rice husks, suggesting positive links between methane production and a high amount of fatty acids.ConclusionsOur results suggest that heterologous WRI1 expression in transgenic plants can be used to improve the metabolic potential for bioenergy purposes, in particular methane production
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