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In this paper, a mode stirrer composed of random positioned metal plates is proposed for reverberation chamber. The designing procedure of the mode stirrer is presented. The designed stirrer is compared with the common Z-shaped stirrer in both simulation and measurement. It is shown that in general the proposed stirrer outperforms the common Z-shaped stirrer with the same sweeping volume. Nevertheless, the measurement results show that the performance improvement of the designed stirrer becomes insignificant at higher frequencies with additional platform stirring. Albeit the difference, the stirring improvement of the designed stirrer is clearly demonstrated at low frequencies, which is more important due to the inherent low mode density at low frequency.

Mobile technology has become an indispensable resource in people’s lives, and educational software applications are closely related to day-to-day life. These applications provide an effective basis for implementing interactive teaching and allow teachers and students to quickly exchange information through mobile devices. Compared with teachers, students are tolerant and open about mobile technology. To meet the learning needs of students, adopting different teaching methods to improve learners’ learning outcomes is the focus of mobile learning. Therefore, gamified teaching supported by various information technologies such as computers, multimedia, and mobile technology has received widespread attention. In this study, 124 undergraduate students majoring in Civil Engineering from Harbin University of Science and Technology, Heilongjiang Province, were randomly assigned to one experimental group (with gamified teaching design, 62 students) and one control group (without gamified teaching design, 62 students). The paired sample T test was used to compare the pre- and post-test scores of the learners, while the independent sample T test was used to analyze the learning engagement (behavioral, cognitive, and emotional engagement) of college students under gamified teaching using mobile technology. Results show no significant difference in pre-test scores between the experimental and control groups (P = 0.374 > 0.05), meeting the prerequisite for the comparative experiment. Gamified teaching using mobile technology found significantly improved test scores (P = 0.003 < 0.05), where independent sample T test results showed a significant difference in learning engagement (behavioral, cognitive, and emotional). After using gamified teaching using mobile technology, the experimental group of students showed a significant increase in learning engagement, which is consistent with the results of most of the literature. The results of this study have important reference value for school administrators to propose new teaching strategies and for teachers to integrate information technology to assist the teaching process, to propose solutions for building interactive teaching environments, and to alleviate the fatigue phenomenon that often occurs in the application of multimedia technology in current information technology teaching in universities.

The area of digital transformation is attracting considerable interest due to the current trend of digital transformation being deployed around industries in the world. Many researchers have addressed the issue of technology acceptance in various industries; however, the area of digital transformation along with the demographic characteristics of creative services has not been explored, especially in the context of Vietnam. This study aims to clarify the influence on the determinants of adoption of digital transformation based on gender and region and is the first experiment to survey in creative services in Vietnam. The methodology is primarily derived from the technology, organization, and environment framework, and uses analysis of variance, independent sample t-test, and multivariate linear regression for investigation; further details on the adopted methodology can be found in this paper. The results reported here provide further evidence for the value of gender and region in the decision of digital transformation adoption and their impact on the determinants of digital transformation. This work has presented a background method for the investigation of creative companies in the context of creative services in Vietnam. However, the findings might be only representative of the characteristics of selected demographics and creative services in Vietnam, so additional studies are needed on other demographic factors and areas.

Molecular dynamics or Monte Carlo methods can be used to sample equilibrium states, but these methods become computationally expensive for complex systems, where the transition from one equilibrium state to another may only occur through rare events. Noé et al. used neural networks and deep learning to generate distributions of independent soft condensed-matter samples at equilibrium (see the Perspective by Tuckerman). Supervised training is used to construct invertible transformations between the coordinates of the complex system of interest and simple Gaussian coordinates of the same dimensionality. Thus, configurations can be sampled in this simpler coordinate system and then transformed back into the complex one using the correct statistical weighting. Science , this issue p. eaaw1147 ; see also p. 982 By combining deep learning and statistical mechanics, neural networks sample the equilibrium distribution of many-body systems. Computing equilibrium states in condensed-matter many-body systems, such as solvated proteins, is a long-standing challenge. Lacking methods for generating statistically independent equilibrium samples in “one shot,” vast computational effort is invested for simulating these systems in small steps, e.g., using molecular dynamics. Combining deep learning and statistical mechanics, we developed Boltzmann generators, which are shown to generate unbiased one-shot equilibrium samples of representative condensed-matter systems and proteins. Boltzmann generators use neural networks to learn a coordinate transformation of the complex configurational equilibrium distribution to a distribution that can be easily sampled. Accurate computation of free-energy differences and discovery of new configurations are demonstrated, providing a statistical mechanics tool that can avoid rare events during sampling without prior knowledge of reaction coordinates.

In the original publication [...].

BackgroundBorderline personality disorder is a common type of personality disorder, and its patients have difficulties in emotional regulation and self-perception. As a high-risk financial activity, future investment may cause investors to produce huge financial and emotional pressure, resulting in negative emotional impact.Subjects and MethodsThe study selected 100 investors who experienced futures explosion within a year as the experimental group, and 100 investors who did not experience futures explosion as the control group. The Borderline Personality Disorder Questionnaire was used to assess the borderline personality disorder traits of the investors and again to classify them into high and low borderline personality disorder trait groups. SPSS software was used for data analysis, and an independent sample t-test was used to compare the difference of ESI scores between different groups.ResultsThe results of the study showed that the mean borderline personality disorder trait score of the experimental group was 28.5±5.7, while the mean ESI score of the control group was 24.2±4.9. Independent sample t test showed that the score of BPD trait in the experimental group was significantly higher than that in the control group (t = 5.73, P < 0.001). The percentage of investors with borderline personality disorder trait scores higher than the standard scores reached 75% in the experimental group.ConclusionsThe results show that the number of future bursts will significantly deepen the trait of borderline personality disorder and depression of investors.

Patients with mantle-cell lymphoma who have a relapse after chemotherapy and anti-CD20 and BTK inhibitor therapy have a poor prognosis. An injection of CD19-directed CAR T cells induced a complete response in 59% of patients; 78% with a complete response were in remission at 1 year. About two thirds of patients had serious adverse events, a finding consistent with previous data.

Many biological variables are recorded on a circular scale and therefore need different statistical treatment. A common question that is asked of such circular data involves comparison between two groups: Are the populations from which the two samples are drawn differently distributed around the circle? We compared 18 tests for such situations (by simulation) in terms of both abilities to control Type-I error rate near the nominal value, and statistical power. We found that only eight tests offered good control of Type-I error in all our simulated situations. Of these eight, we were able to identify the Watson’s U 2 test and a MANOVA approach, based on trigonometric functions of the data, as offering the best power in the overwhelming majority of our test circumstances. There was often little to choose between these tests in terms of power, and no situation where either of the remaining six tests offered substantially better power than either of these. Hence, we recommend the routine use of either Watson’s U 2 test or MANOVA approach when comparing two samples of circular data.

DNA methylation, a key epigenetic driver of transcriptional silencing, is universally dysregulated in cancer. Reversal of DNA methylation by hypomethylating agents, such as the cytidine analogs decitabine or azacytidine, has demonstrated clinical benefit in hematologic malignancies. These nucleoside analogs are incorporated into replicating DNA where they inhibit DNA cytosine methyltransferases DNMT1, DNMT3A and DNMT3B through irreversible covalent interactions. These agents induce notable toxicity to normal blood cells thus limiting their clinical doses. Herein we report the discovery of GSK3685032, a potent first-in-class DNMT1-selective inhibitor that was shown via crystallographic studies to compete with the active-site loop of DNMT1 for penetration into hemi-methylated DNA between two CpG base pairs. GSK3685032 induces robust loss of DNA methylation, transcriptional activation and cancer cell growth inhibition in vitro. Due to improved in vivo tolerability compared with decitabine, GSK3685032 yields superior tumor regression and survival mouse models of acute myeloid leukemia.

Physical punishment is increasingly viewed as a form of violence that harms children. This narrative review summarises the findings of 69 prospective longitudinal studies to inform practitioners and policy makers about physical punishment's outcomes. Our review identified seven key themes. First, physical punishment consistently predicts increases in child behaviour problems over time. Second, physical punishment is not associated with positive outcomes over time. Third, physical punishment increases the risk of involvement with child protective services. Fourth, the only evidence of children eliciting physical punishment is for externalising behaviour. Fifth, physical punishment predicts worsening behaviour over time in quasi-experimental studies. Sixth, associations between physical punishment and detrimental child outcomes are robust across child and parent characteristics. Finally, there is some evidence of a dose–response relationship. The consistency of these findings indicates that physical punishment is harmful to children and that policy remedies are warranted.