Implementing Path of Zhengzhou University\u27s Establishment of Football Academy

Under the new policy background of the 2020 Opinions on Deepening the Integration of Sports and Education and Promoting the Healthy Development of Adolescents , as the highest educational institution in China, higher education institutions should shoulder the responsibility of cultivating high-quality talents to meet social needs. As the highest-quality higher education institution in Henan Province, Zhengzhou University\u27s innovation and exploration of teaching methods and talent training models under the background of the integration of sports and education will play a leading role in the development of higher education in Henan Province. Through combing and analyzing the existing policy documents, firstly, explore the reasons, significance, and social background of the construction of the football academy; secondly, analyze the theoretical basis for the construction of the football academy in the context of relevant policies, and analyze the demand for talent training required by the policy. It was combining with the construction situation of my country’s football academy at this stage, implementing the specific requirements of the integration strategy of sports and education, establishing the guiding ideology of “diversified integration” after establishing the academy from the three levels of discipline establishment, talent training, and talent transfer. Investigate the needs of the talent market at the stage, determine the direction of talent training, and discuss how to set up specific majors for domestic enrollment after the establishment of the college. Based on this, it proposes the professional setting direction and specific curriculum arrangement and assessment methods for talent training from five aspects: education and teaching, sports competitions, sports medicine, sports media, economics, and management. Finally, it discusses the difficulties faced by students, teachers, and employment development after graduation in the process of football academy construction and how to use existing resources and related policy support to solve the difficulties. As an innovative way of running a school, the Football Academy provides new opportunities for the reform and innovation of sports talent cultivation. In the torrent of sports and education integration reform, make full use of existing resources, integrate and mobilize various high-quality resources in the region, and finally transform them into the winning resources for the new development of our school\u27s sports discipline in this innovative school-running method. After the football academy is established, it will become a link between campus football and professional football in the province, and a breeding base for national high-quality football industry talents. It will also provide a strong impetus for the development of football in my country

Wettability Alteration Process at Pore-Scale during Engineered Waterflooding using Computational Fluid Dynamics

Engineered waterflooding modifies chemistry of injected brine to efficiently and environmentally friendly enhance oil recovery. The common practice of engineered waterflooding includes low salinity waterflooding (LSW) and carbonated waterflooding. Among these oil recovery methods, wettability alteration has been perceived as a critical physicochemical process for additional oil recovery. While extensive work has been conducted to characterize the wettability alteration, the existing theory cannot explain the conflict oil recovery between secondary mode (injecting engineered water at the very beginning of flooding) and tertiary mode (injecting engineered water after conventional waterflooding), where secondary engineered waterflooding always gives a greater incremental oil recovery than tertiary mode. To explain this recovery difference, a preferential flow channel was hypothesized to be created by secondary flooding, which likely reduces sweep efficiency of tertiary flooding. To test this hypothesis, computational fluid dynamic simulations were performed with finite volume method coupled with dynamic contact angles in OpenFOAM to represent wettability characteristics (from strongly oil-wet to strongly water-wet) at pore scale to quantify the role of pre-existing flow channel in the oil recovery at different flooding modes. The simulation results showed that secondary engineered waterflooding indeed generates a preferential flow pathway, which reduces recovery efficiency of subsequent tertiary waterflooding. Streamline analysis confirms that tertiary engineered waterflooding transports faster than secondary engineered waterflooding, implying that sweep efficiency of tertiary engineered waterflooding is lower than secondary engineered waterflooding. This work provides insights for a greater oil recovery at secondary mode than tertiary mode during engineered waterflooding at pore scale

An Analysis of the Construction and Development of ‘Starry Star’ Training Camp in Zhengzhou City

Since 2017, the Ministry of Education has taken the lead in establishing the \u27Starry Star\u27 pilot training camp. As a leading city of school football campaign/activity, Zhengzhou City takes up heavy responsibility of continuously promoting the rapid development of school football in Henan Province. This paper adopts such methodologies such as literature, fieldwork, mathematical statistics and logical analysis to identify the weaknesses in the current phase of construction and to make reasonable recommendations according to policies and the actual situation for pointing out the direction for the future development. In terms of organizational leadership, all relevant policies and documents are well-developed reflecting the high degree of importance attached to each training camp, but very few of them have omissions in the development of the system of admissions and training management regulations. In terms of condition guarantee, three aspects are prominent, including the treatment of coaches (calculation of hours), the size of the training grounds at each training site not meeting the requirements of the camps\u27 participation groups (due to limited size of the campus), and the lack of implementation of supporting funds (in the surrounding counties). In terms of competition and training, all schools lost points to varying degrees in the various detailed assessment indicators of the survey and assessment such as inappropriate teaching attitude of the teaching staff, unsystematic training syllabus, unfinished work arrangements for two tournaments and one practice and insufficient attention to the campers\u27 performance in cultural subjects. In terms of reserve training and training participation rate, nearly 30% of the camps failed to send outstanding athletes to higher level schools; half of the camps failed to ensure over 90% attendance of campers. It is suggested that relevant authorities should in future give standardized and clear policies regarding admissions and other related systems. Further, the authorities should clarify the way of coaches\u27 salary and title appraisal, focus on the implementation of matching funds for training camps, and gradually adjust the correspondence between matching camper groups and camp site conditions. As the main task of the Starry Star training camps, more attention should be placed in future work, improving policies, seriously correcting and dealing with various situations that affect the quality of race training in each camp. The authorities should optimize the way of supplying outstanding athletes, and at the same time strengthen regular inspections and random checks for the attendance, putting equal emphasis on training quality and participation

Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time

The absence of unknown timing information about the microphones recording start time and the sources emission time presents a challenge in several applications, including joint microphones and sources localization. Compared with traditional optimization methods that try to estimate unknown timing information directly, low rank property (LRP) contains an additional low rank structure that facilitates a linear constraint of unknown timing information for formulating corresponding low rank structure information, enabling the achievement of global optimal solutions of unknown timing information with suitable initialization. However, the initialization of unknown timing information is random, resulting in local minimal values for estimation of the unknown timing information. In this paper, we propose a combined low rank approximation method to alleviate the effect of random initialization on the estimation of unknown timing information. We define three new variants of LRP supported by proof that allows unknown timing information to benefit from more low rank structure information. Then, by utilizing the low rank structure information from both LRP and proposed variants of LRP, four linear constraints of unknown timing information are presented. Finally, we use the proposed combined low rank approximation algorithm to obtain global optimal solutions of unknown timing information through the four available linear constraints. Experimental results demonstrate superior performance of our method compared to state-of-the-art approaches in terms of recovery rate (the number of successful initialization for any configuration), convergency rate (the number of successfully recovered configurations), and estimation errors of unknown timing information.Comment: 13 pages for main content; 9 pages for proof of proposed low rank properties; 13 figure

A review of UAV autonomous navigation in GPS-denied environments

Unmanned aerial vehicles (UAVs) have drawn increased research interest in recent years, leading to a vast number of applications, such as, terrain exploration, disaster assistance and industrial inspection. Unlike UAV navigation in outdoor environments that rely on GPS (Global Positioning System) for localization, indoor navigation cannot rely on GPS due to the poor quality or lack of signal. Although some reviewing papers particularly summarized indoor navigation strategies (e.g., Visual-based Navigation) or their specific sub-components (e.g., localization and path planning) in detail, there still lacks a comprehensive survey for the complete navigation strategies that cover different technologies. This paper proposes a taxonomy which firstly classifies the navigation strategies into Mapless and Map-based ones based on map usage and then, respectively categorizes the Mapless navigation into Integrated, Direct and Indirect approaches via common characteristics. The Map-based navigation is then split into Known Map/Spaces and Map-building via prior knowledge. In order to analyze these navigation strategies, this paper uses three evaluation metrics (Path Length, Deviation Rate and Exploration Efficiency) according to the common purposes of navigation to show how well they can perform. Furthermore, three representative strategies were selected and 120 flying experiments conducted in two reality-like simulated indoor environments to show their performances against the evaluation metrics proposed in this paper, i.e., the ratio of Successful Flight, the Mean time of Successful Flight, the Mean Length of Successful Flight, the Mean time of Flight, and the Mean Length of Flight. In comparison to the CNN-based Supervised Learning (directly maps visual observations to UAV controls) and the Frontier-based navigation (necessitates continuous global map generation), the experiments show that the CNN-based Distance Estimation for navigation trades off the ratio of Successful Flight and the required time and path length. Moreover, this paper identifies the current challenges and opportunities which will drive UAV navigation research in GPS-denied environments

Virulence of H5N1 virus in mice attenuates after in vitro serial passages

The virulence of A/Vietnam/1194/2004 (VN1194) in mice attenuated after serial passages in MDCK cells and chicken embryos, because the enriched large-plaque variants of the virus had significantly reduced virulence. In contrast, the small-plaque variants of the virus and the variants isolated from the brain of mice that were infected with the parental virus VN1194 had much higher virulence in mice. The virulence attenuation of serially propagated virus may be caused by the reduced neurotropism in mice. Our whole genome sequence analysis revealed substitutions of a total of two amino acids in PB1, three in PB2, two in PA common for virulence attenuated variants, all or part of which may be correlated with the virulence attenuation and reduced neurotropism of the serially propagated VN1194 in mice. Our study indicates that serial passages of VN1194 in vitro lead to adaptation and selection of variants that have markedly decreased virulence and neurotropism, which emphasizes the importance of direct analysis of original or less propagated virus samples

The HDIN Dataset: A Real-World Indoor UAV Dataset with Multi-Task Labels for Visual-Based Navigation

Supervised learning for Unmanned Aerial Vehicle (UAVs) visual-based navigation raises the need for reliable datasets with multi-task labels (e.g., classification and regression labels). However, current public datasets have limitations: (a) Outdoor datasets have limited generalization capability when being used to train indoor navigation models; (b) The range of multi-task labels, especially for regression tasks, are in different units which require additional transformation. In this paper, we present a Hull Drone Indoor Navigation (HDIN) dataset to improve the generalization capability for indoor visual-based navigation. Data were collected from the onboard sensors of a UAV. The scaling factor labeling method with three label types has been proposed to overcome the data jitters during collection and unidentical units of regression labels simultaneously. An open-source Convolutional Neural Network (i.e., DroNet) was employed as a baseline algorithm to retrain the proposed HDIN dataset, and compared with DroNet’s pretrained results on its original dataset since we have a similar data format and structure to the DroNet dataset. The results show that the labels in our dataset are reliable and consistent with the image samples

Multilingual and Fully Non-Autoregressive ASR with Large Language Model Fusion: A Comprehensive Study

In the era of large models, the autoregressive nature of decoding often results in latency serving as a significant bottleneck. We propose a non-autoregressive LM-fused ASR system that effectively leverages the parallelization capabilities of accelerator hardware. Our approach combines the Universal Speech Model (USM) and the PaLM 2 language model in per-segment scoring mode, achieving an average relative WER improvement across all languages of 10.8% on FLEURS and 3.6% on YouTube captioning. Furthermore, our comprehensive ablation study analyzes key parameters such as LLM size, context length, vocabulary size, fusion methodology. For instance, we explore the impact of LLM size ranging from 128M to 340B parameters on ASR performance. This study provides valuable insights into the factors influencing the effectiveness of practical large-scale LM-fused speech recognition systems.Comment: ICASSP 202

Mid-late Holocene temperature and precipitation variations in the Guanting Basin, upper reaches of the Yellow River

The reconstruction of prehistoric temperature and precipitation variations in the upper reaches of the Yellow River is essential for understanding the cultural evolution of the region, but related information is sparse due to the limitations of the available proxies. Recent studies have shown that microbial glycerol dialkyl glycerol tetraethers (GDGTs) are promising tools for reconstructing mean annual temperature (MAT) and mean annual precipitation (MAP) in terrestrial deposits. In this study, we reconstructed mid-late Holocene climatic changes using GDGT distributions in a loess-paleosol sequence in the Lajia Ruins of the Neolithic Qijia Culture, Guanting Basin, in the southwestern end of the Chinese Loess Plateau. Our GDGT records show that MAP decreased from ca. 600 mm to 430 mm, while MAT decreased from 11.9 degrees C to 8.0 degrees C, during the past ca. 7000 yr, and a drastic decline in MAP (70 mm), accompanied by a 0.8 degrees C decline in MAT, occurred at 3800-3400 yr BP. Our results provide direct evidence supporting a hypothesis that the flourishing (4200-4000 yr BP) and decline (4000-3600 yr BP) of the Qijia culture (mainly based on millets cultivation) and subsequent rise of the Xindian/Kayue culture (3600-2600 yr BP), based on mixed agriculture of sheep husbandry and millets cultivation were triggered by climate change

Homogeneous doping of substitutional nitrogen/carbon in TiO2 plates for visible light photocatalytic water oxidation

The authors thank National Natural Science Foundation of China (Grant Nos. 51825204, 51572266, 21633009, and 51629201), the Key Research Program of Frontier Sciences CAS (QYZDB‐SSW‐JSC039) for the financial support. G.L. is grateful for the award of the Newton Advanced Fellowship.Extending the light absorption range of wide‐bandgap photocatalysts into the visible light region is significant in terms of fully harvesting and converting solar light. The desirable band‐to‐band redshift of the absorption edge of semiconducting binary metal oxides such as prototypical photocatalyst TiO2 by doping is long targeted but remains a challenge, up to date. Here, by taking the advantage of abundant 1D diffusion channels with rhombus‐like cross‐sections along the c‐axis in the crystal structure of titanium oxalate hydrate to promote the entrance of nitrogen dopant species into the bulk and subsequent thermal topotactic transition in an atmosphere of gaseous ammonia, homogeneous doping of substitutional carbon/nitrogen for oxygen in the TiO2 decahedral plates with a dominant anatase phase is obtained for the first time. The resultant TiO2−x(CN)y with an unusual band‐to‐band visible light absorption spectrum can induce photocatalytic water oxidation to release oxygen under visible light irradiation. This study provides not only a promising visible light–responsive TiO2 photocatalyst, but also an important strategy for developing other solar‐driven photocatalysts.PostprintPeer reviewe