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In view of the waste of reed resources in Xiong’an New Area and the difficulty in separating the adsorbent in the process of removing nitrate nitrogen from water by adsorption，the magnetic amine-crosslinked biopolymer based reed straw was prepared from waste reed straw. The preparation method of the adsorbent was optimized by comprehensively considering the effects of reagent type，reagent dosage，reaction time，reaction temperature and other conditions during the preparation process. The adsorption performance of the adsorbent on simulated wastewater was investigated and characterized by SEM，VSM，FT-IR and XPS. The results showed that the removal rate of nitrate nitrogen in simulated sewage reached 93.2% by the adsorbent prepared by adding 5 mL of epichlorohydrin，20 mL of N，N-dimethylformamide and 5 mL of trimethylamine into 2 g of reed straw powder and reacting at 80 ℃ for 30 min. The static adsorption of nitrate nitrogen conformed to the Freundlich isotherm adsorption model and the quasi-second order adsorption kinetic model. In the dynamic adsorption experiment，the maximum adsorption capacity of the adsorbent for nitrate nitrogen was 12.74 mg/g. After six cycles of regeneration，the adsorption performance of the adsorbent had not significantly decreased. The characterization results showed that magnetic groups and quaternary amine groups were successfully loaded on the surface of the material，and the adsorption mechanism of nitrate nitrogen was mainly ion exchange. In conclusion，the prepared magnetic amine-crosslinked biopolymer based reed straw had good adsorption performance for nitrate nitrogen in water，and was expected to realize the high value utilization of reed resources.

ObjectiveTo investigate the value of real-time 3-dimensional （RT-3D） transvaginal ultrasound in evaluating the direction and frequency of endometrial peristalsis. MethodsTransvaginal RT-3D ultrasound was conducted in 122 non-menopausal female volunteers recruited in the Affiliated Hospital of Nanjing University of Chinese Medicine from December 2021 to May 2022. A total of 174 dynamic videos （2min） of sagittal and coronal planes of the uterus were obtained, which were played at 8-time speed and then evaluated by two observers for the direction and frequency of endometrial peristalsis. ResultsThere was a high degree of agreement between two observers in the assessment of peristaltic direction of the anterior and posterior walls on the sagittal plane and the left wall, right wall and uterine fundus on the coronal plane, with kappa values of 0.739, 0.768, 0.670, 0.687 and 0.614, respectively （P＜0.01）. There was no significant difference in the peristaltic frequency among the walls on the sagittal and coronal planes （P＞0.05）. There was a good agreement between two observers for the evaluation of peristaltic frequency at each wall ,with intra-group correlation coefficients of 0.888, 0.899, 0.828, 0.853 and 0.858, respectively for the anterior and posterior walls in the sagittal plane and the left wall, right wall and uterine fundus in the coronal plane （P＜0.01）. ConclusionRT-3D ultrasound can emerge the uterine peristalsis on the coronal plane and judge the peristaltic direction of the uterine fundus. The technique is highly reproducible and is a new and reliable method for evaluating the direction and frequency of uterine peristalsis.

In this paper, a factor analysis of emotion management competencies was conducted using multivariate statistical analysis for the emotion management strategies of college students. Five competencies, such as emotion regulation ability and seeking external support, were selected as exploratory factors, and KMO and Bartlett's sphericity test verified their feasibility. After the factors were identified, the correlation and influence of physical exercise on college students’ emotion management ability were investigated based on multiple regression methods, and optimization strategies were proposed in turn. In terms of exercise time, college students’ emotion management ability was significantly correlated with exercise time in general, and the correlation coefficient was 0.885. The intensity and frequency of physical exercise showed a linear relationship with college students’ emotion management ability, and the coefficients of the standardized regression equation were 0.325 and 0.246, in turn.

Computing metasurfaces are two-dimensional artificial nanostructures capable of performing mathematical operations on the input electromagnetic field, including its amplitude, phase, polarization, and frequency distributions. Rapid progress in the development of computing metasurfaces provide exceptional abilities for all-optical image processing, including the edge-enhanced imaging, which opens a broad range of novel and superior applications for real-time pattern recognition. In this paper, we review recent progress in the emerging field of computing metasurfaces for all-optical image processing, focusing on innovative and promising applications in optical analog operations, image processing, microscopy imaging, and quantum imaging.

To improve airflow injection capacity of the main nozzle and decrease backflow phenomenon, a new main nozzle structure with two throats is designed. Negative pressure value and negative pressure zone length are first proposed evaluating the strength of backflow phenomenon. Commercial computational fluid dynamic (CFD) code “Fluent” is performed to simulate the flow field inside and outside the main nozzle. Exit velocity increases about 10 m/s in new main nozzle. Airflow core length of the new main nozzle is 35% higher than that of commonly used main nozzle. Smaller negative pressure value and shorter negative pressure zone length mean a weaker backflow phenomenon in the new main nozzle. Bigger air drag force indicates stronger weft insertion ability in the new main nozzle.

Due to the limitation of chemical process technology and management system, the traditional treatment mode of heavy metal waste liquid pollution has many problems, such as high power consumption in the process, high wear of consuming steel, high management cost, and secondary pollution caused by complex solid waste residue in data detection. Team based on the front end of deep learning module and backend soft measurement model of collaborative structures, design and improvement of the learning algorithm combined with nested integration depth control series new front end treatment module, the successful implementation of heavy metal ions in industrial wastewater concentration of accurate prediction, and according to the predicted results and the analysis of liquid ingredients, targeted treatment after intelligent classification.

When chloroaluminate ( A l C l 4 − ) serves as the electrolyte, aluminum nitride (AlN) has shown promise as a cathode material in aluminum ion batteries. However, there is currently a lack of research on the mechanisms of charge transfer and cluster intercalation between AlCl4 and AlN cathode materials. Herein, first-principles calculations are employed to investigate the intercalation mechanism of AlCl4 within the AlN cathode. By calculating the formation energies of stage-1–5 AlN–AlCl4 intercalation compounds with the insertion of individual AlCl4 cluster, we found that the structure of the stage-4 intercalation compounds exhibits the highest stability, suggesting that when the clusters begin to intercalate, it is important to start with the formation of the stage-4 intercalation compounds. In the subsequent phases of the charging process (stages 1 and 2), the stabilized structure with four inserted clusters demonstrates two characteristics: the coexistence of standing and lying clusters and the insertion of two standing clusters in an upside-down doubly stacked configuration, which further improve the spatial utilization while maintaining the structural stability. In addition, we infer that a phenomenon of coexisting intercalation compounds with mixed stages will occur in the course of the charging and discharging processes. More importantly, the diffusion barrier of AlCl4 in AlN–AlCl4 intercalation compounds decreases with the reduction of stage number, ensuring the rate performance of batteries. Therefore, we expect that our work will contribute to comprehend the intercalation mechanism of AlCl4 into the AlN cathode materials of aluminum ion batteries, providing guidance for related experimental work. [ABSTRACT FROM AUTHOR]

Early cancer detection by cell-free DNA faces multiple challenges: low fraction of tumor cell-free DNA, molecular heterogeneity of cancer, and sample sizes that are not sufficient to reflect diverse patient populations. Here, we develop a cancer detection approach to address these challenges. It consists of an assay, cfMethyl-Seq, for cost-effective sequencing of the cell-free DNA methylome (with > 12-fold enrichment over whole genome bisulfite sequencing in CpG islands), and a computational method to extract methylation information and diagnose patients. Applying our approach to 408 colon, liver, lung, and stomach cancer patients and controls, at 97.9% specificity we achieve 80.7% and 74.5% sensitivity in detecting all-stage and early-stage cancer, and 89.1% and 85.0% accuracy for locating tissue-of-origin of all-stage and early-stage cancer, respectively. Our approach cost-effectively retains methylome profiles of cancer abnormalities, allowing us to learn new features and expand to other cancer types as training cohorts grow.

There is a growing consensus that the ability to understand and process visual information should be part of the second language (L2) listening construct; however, the findings of studies exploring the use of visuals in L2 listening assessment contexts remain inconclusive. To better understand the underlying reasons for these inconclusive results, this article employs a methodological synthesis to examine different methodological aspects of primary studies. The synthesis starts with an overview of its methodology that describes the selection and search criteria, data coding, and analysis of data from 45 studies comprising journal articles, doctoral dissertations, book chapters, and conference proceedings published in the past 50 years. Driven by five research questions, the synthesis examines methodological aspects of primary studies, including research aims, research designs, data collection and analysis methods, study and participant characteristics, design characteristics of L2 listening assessment instruments, and test administration procedures. The results reveal a panoply of differences among research methodologies used in primary studies. In discussing the results of this methodological synthesis, this article highlights the patterns in reviewed methodologies, identifies key methodological issues in primary studies, and concludes with recommendations for expanding and advancing this line of research.