Design of Campus Wetland Landscapes: A Case Study of the Bailuxi Wetland of University of Sanya in Sanya, Hainan, China

In this paper, the landscape design of the Bailuxi Wetland in University of Sanya was studied by using the research method of “survey—analysis—design”. The questionnaire survey, field observation and landscape pattern analysis were used to analyze the landscape pattern of the Bailuxi Wetland as well as the characteristics and problems of the six subsystems of green space, activity, road, animal, plant, and sound. Then the overall structure and function design of the Bailuxi Wetland landscape, the optimization adjustment of the landscape pattern, the optimization design of the subsystem, and the relationship design between human and the animal, plant, and sound systems were proposed. This study is dedicated to providing effective advice on the planning and design of campus wetland landscapes, with a view to providing examples for the planning and design of campus wetland landscapes. The research indicates that:① Scientific and rational spatial structure and functional layout planning are prerequisites for the sustainable development of wetland landscapes;② the balanced development of subsystems in the campus wetland system is a necessary condition for maintaining the rationality of the campus landscape pattern;③ the degree of harmony between humans and animals, plants, and sounds affects the ecological sustainability of campus wetland landscapes.

Evaluation of the Effect of Assessment Method Reform in “Nursing Research” Course

Objective:This paper aims to evaluate the implementation effect of the diversified course assessment method reform.Methods:A diversified assessment method was implemented for 196 undergraduate nursing students.Students’mastery of key knowledge in“Nursing Research”was assessed through group reports on topic selection and literature retrieval,as well as the proposition level of the final examination.Results:81.6%of the students agreed with the course assessment method,and 97.9%believed studying“Nursing Research”would be helpful for future scientific research applications.Conclusion:Diversified assessment methods can help improve undergraduate nursing students’scientific research skills and comprehensive quality.

Implementation of Digital Classroom State System for Teachers and Students Based on Large Models

Deep learning has become a hot field of artificial intelligence,and the deep learning large model framework has become a bridgehead for the active layout of Chinese and foreign technology companies.Large models play a significant role in the application field,greatly improving the efficiency of training and optimization,and contributing to the landing of many innovative artificial intelligence tools.Based on the Chinese PaddlePaddle large model framework,an application system is designed in combination with the intelligent classroom teaching scenario,which uses machine vision algorithms to distinguish and present teachers’and students’behaviors,that is,the digitization and multi-classification scheme of class character states.After having digital data,data analysis can be carried out to evaluate the class status of teachers and students,and the traditional subjective judgment such as peacetime grades and teaching ability can be upgraded to the objective judgment of artificial intelligence.

The Impact of Street Interviews on Chinese EFL Undergraduates’Intercultural Communicative Competence

The study adopts Byram’s Intercultural Communicative Competence(ICC)model as the theoretical framework,and structured interviews were conducted to explore the impact of street interviews on the participants’ICC.Analysis results revealed street interviews help students acquire knowledge in intercultural attitudes,intercultural knowledge,skills of discovery and interaction,and critical cultural awareness,aligning with the four components of Byram’s ICC model.Meanwhile,they have positive perceptions of street interviews.Therefore,street interviews have a positive effect on the development of participants’ICC.

The Existing Problems and Optimization Paths of Digital Textbooks Under Background of Internet

With the rapid development of information technology,the combination of terminal technology,big data and mobile Internet and textbooks has become an irresistible trend in the modern education field.Under the context of the Internet,carrying out education and teaching activities based on digital textbooks can give full play to the rich media,openness and interaction of digital textbooks,broaden students′horizon,enrich students′knowledge,and promote the improvement of students′ability and all-round development.However,in the specific teaching practice,there are also problems such as old compilation ideas,single compilation mode and low efficiency of personalized learning.Therefore,schools and teachers need to constantly innovate the presentation and arrangement of digital textbooks,strengthen technical support,deepen students′understanding of the teaching content of digital textbooks,promote the comprehensive development of students and improve the effectiveness of digital textbook teaching.

Research on the Application of Super Resolution Reconstruction Algorithm for Underwater Image

Underwater imaging is widely used in ocean,river and lake exploration,but it is affected by properties of water and the optics.In order to solve the lower-resolution underwater image formed by the influence of water and light,the image super-resolution reconstruction technique is applied to the underwater image processing.This paper addresses the problem of generating super-resolution underwater images by convolutional neural network framework technology.We research the degradation model of underwater images,and analyze the lower-resolution factors of underwater images in different situations,and compare different traditional super-resolution image reconstruction algorithms.We further show that the algorithm of super-resolution using deep convolution networks(SRCNN)which applied to super-resolution underwater images achieves good results.

An Analysis of the Legal System for the Protection of Marine Resources in China

In order to realize the orderly development and rational use of marine resources,construct a new marine economic development model,effectively adjust the relationship between marine resource protection and social production,and promote the legalization and institutionalization of marine resource protection.Based on the reality,this article attempts to explore the ways and means of improving and constructing the legal system for the protection of marine resources from multiple dimensions.It aims to form a complete marine resource development system from the legal level and provide legal guarantee for the development of marine economy.

On the Criminal Law Protection of the Marine Ecological Environment

With the continuous and rapid development of the country’s economy and society,it has greatly promoted the leap of the marine economy and brought more severe challenges and tests to the protection of marine ecological environment.How to effectively measure the criminal law protection of the marine ecological environment and take effective measures Measures to deepen the effects of marine ecological environmental protection have become one of the focus topics of widespread concern in the industry.Based on this,this article first introduces the protection of marine ecological interests in China’s criminal law,analyzes the necessity of adjusting the ecological environment in criminal law,and discusses the deficiencies in China’s marine legal system and combines relevant practical experience to improve the marine environment.Various angles and aspects,such as laws and regulations related to resource crimes,put forward the basic approach to strengthen the criminal law protection of the marine ecological environment,and hope to help the practice of related work.

An Empirical Study on Hainan Citizens'Participation in Urban Community Governance under the Background of Free Trade Port Construction

Hainan is in the period of high-speed development and transformation of government management.To build a free trade port with Chinese characteristics requires a modern social governance system that confirms to the trend of the times,and community governance is important part of whole social governance system.Citizens'cooperative participation in grass-roots community governance has the functions of creating a good living environment,reducing social conflicts,improving residents'sense of well-being and attracting all kinds of talents.Based on the perspective of multi cooperative social governance,this paper empirically investigates the current situation of Hainan urban resident's participation in community governance,explores the reasons for the lack of citizen participation in community governance,and puts forward suggestions for improving citizen participation in community governance.

A Review of Research on L2 Vocabulary Acquisition through Reading

The crucial role of lexis in both first and second language acquisition has long been acknowledged by researchers.With that notion, many researchers and instructors has paid much attention to L2 vocabulary acquisition. The paper here attempts to give a brief review of some related research and is supposed to spark some ideas about L2 vocabulary acquisition on a theoretical and pedagogical basis.

Does green finance drive high-quality economic development?-Based on empirical evidence from China

Green finance,as an important branch of modern finance,has far-reaching significance that is not limited to the financial sector.By promoting green investment and optimizing resource allocation,green finance plays a crucial role in reducing environmental pollution and carbon emissions.At the same time,it can also promote the quality of economic growth and achieve the harmonious development of economy,society and environment.Based on China's provincial panel data from 2008 to 2022,the direct impact and indirect transmission mechanism of green finance on high-quality economic development are analyzed by constructing a dynamic panel model and a mediation effect model.It is found that green finance not only directly promotes the high-quality development of the economy,but also indirectly promotes the sustainable and healthy growth of the economy through the transmission channel of technological innovation.This mediating effect of technological innovation is as high as 78.65%,which shows the close connection between green finance and high-quality economic development.In addition,the study also found that the direct promotion effect of green finance on high-quality economic development has significant regional heterogeneity.The results of this study suggest that when formulating relevant policies,it is necessary to fully consider the actual situation of each region and tailor them to the local conditions to ensure the in-depth promotion of green finance and the overall development of the economy.

SWOT Analysis of Specialty Tourism in Turpan,Xinjiang

The Turpan region serves as a vital transportation hub along the Silk Road,facilitating economic andcultural exchanges between the East and West.Its distinct natural environment,rich historical culture,diversecustoms,and delectable fruits have contributed to the development of abundant tourism resources.Statistics showthat Turpan boasts 272 tourism resource units and 36 A-level scenic spots,offering significant potential and opportunities for the growth of its tourism industry.This study conducts a SWOT analysis of regional tourism in Turpanand provides an objective evaluation of its strengths and weaknesses.The appeal of visiting Turpan lies in its richhistorical and cultural heritage,as well as its location in the Huozhou Turpan,known for the country’s highest temperatures and lowest altitude.Additionally,the myths and legends of Journey to the West add to its allure.The region is renowned for its diverse grape varieties and is referred to as the“vineyard of the world,”offering a distinctivetourism experience.However,there are also evident drawbacks to tourism in Turpan.The peak tourist season islimited to July-October,which restricts the development of year-round tourism.Additionally,the distance betweenscenic attractions is relatively long,and the supporting tourism infrastructure is limited,failing to meet the variedneeds of tourists.Additionally,the competitiveness of the tourism industry has not been effectively enhanced by thelow brand awareness and loyalty among consumers.In order to ensure sustainable tourism development in theTurpan area,various strategies and approaches must be employed to ensure the unique and diverse growth of regional tourism.This includes creating suitable marketing plans,building a fully functional three-dimensional servicemanagement scheme,and enhancing policy support and financial investments.The tourism industry in Turpan ispoised to benefit from new opportunities,leading to sustained development and enhancement of its economic,cultural,and social values.

Deep Learning-Based Program-Wide Binary Code Similarity for Smart Contracts

Recently,security issues of smart contracts are arising great attention due to the enormous financial loss caused by vulnerability attacks.There is an increasing need to detect similar codes for hunting vulnerability with the increase of critical security issues in smart contracts.Binary similarity detection that quantitatively measures the given code diffing has been widely adopted to facilitate critical security analysis.However,due to the difference between common programs and smart contract,such as diversity of bytecode generation and highly code homogeneity,directly adopting existing graph matching and machine learning based techniques to smart contracts suffers from low accuracy,poor scalability and the limitation of binary similarity on function level.Therefore,this paper investigates graph neural network to detect smart contract binary code similarity at the program level,where we conduct instruction-level normalization to reduce the noise code for smart contract pre-processing and construct contract control flow graphs to represent smart contracts.In particular,two improved Graph Convolutional Network(GCN)and Message Passing Neural Network(MPNN)models are explored to encode the contract graphs into quantitatively vectors,which can capture the semantic information and the program-wide control flow information with temporal orders.Then we can efficiently accomplish the similarity detection by measuring the distance between two targeted contract embeddings.To evaluate the effectiveness and efficient of our proposed method,extensive experiments are performed on two real-world datasets,i.e.,smart contracts from Ethereum and Enterprise Operation System(EOS)blockchain-based platforms.The results show that our proposed approach outperforms three state-of-the-art methods by a large margin,achieving a great improvement up to 6.1%and 17.06%in accuracy.

Monocular Visual SLAM for Markerless Tracking Algorithm to Augmented Reality

Augmented Reality(AR)tries to seamlessly integrate virtual content into the real world of the user.Ideally,the virtual content would behave exactly like real objects.This necessitates a correct and precise estimation of the user’s viewpoint(or that of a camera)with regard to the virtual content’s coordinate sys-tem.Therefore,the real-time establishment of 3-dimension(3D)maps in real scenes is particularly important for augmented reality technology.So in this paper,we integrate Simultaneous Localization and Mapping(SLAM)technology into augmented reality.Our research is to implement an augmented reality system without markers using the ORB-SLAM2 framework algorithm.In this paper we propose an improved method for Oriented FAST and Rotated BRIEF(ORB)feature extraction and optimized key frame selection,as well as the use of the Progressive Sample Consensus(PROSAC)algorithm for planar estimation of augmented reality implementations,thus solving the problem of increased sys-tem runtime because of the loss of large amounts of texture information in images.In this paper,we get better results by comparing experiments and data analysis.However,there are some improved methods of PROSAC algorithm which are more suitable for the detection of plane feature points.

Rapid and non-destructive detection method for water status and water distribution of rice seeds with different vigor

In this study,newly harvested and aged rice seeds were analyzed to determine their aging process,identify the difference between artificially and naturally aged seeds,and develop a rapid,accurate,and non-destructive detection method for water status and water distribution of rice seed with different vigor.To this end,an artificially accelerated aging test was conducted on the newly harvested rice seeds.Then,low-field nuclear magnetic resonance(LF-NMR)technology was applied to test the new(Shennong No.9816,2018),old(Shennong No.9816,2017),and artificially aged seeds(Shennong No.9816,2018).A standard germination test was conducted for three types of seeds.Finally,the differences of water status and distribution between rice seeds of different vigor were analyzed based on the standard germination test results and wave spectrometry information collected using LF-NMR.The results indicated that new seeds,old seeds,and the artificially accelerated aging rice seeds all exhibited two water phases,and the vigor of rice seeds after the artificial accelerated aging test was lower than that of new seeds.There were significant differences between the frequencies of bound water at the time of the peak and the time at the end of the peak for the three types of seeds.The two times showed an increasing trend for rice seeds with poor vigor,indicating that the ability of the water in the rice seeds having poor vigor to combine with other substances was weakened.There were significant differences between the distributions of free water peak end time for the three types of seeds.All the rice seeds with poor vigor exhibited a decreasing trend at this time,indicating that the freedom of free water inside the rice seed samples with poor vigor was weakened.The total water content of the artificially aged seeds and the aged seeds was higher than that of the new seeds,but the free water content increased from artificially aged seeds to new seeds to aged seeds.This indicates that LF-NMR technology is an effective detection method that can simply compare the differences in seed vitality with respect to water distribution as well as differentiate the seed internal water content of artificially aged and naturally aged seeds.

Exact Solution to an Extremal Problem on Graphic Sequences with a Realization Containing Every 2-Tree on k Vertices

A simple graph G is a 2-tree if G=K3,or G has a vertex v of degree 2,whose neighbors are adjacent,and G-v is a 2-tree.Clearly,if G is a 2-tree on n vertices,then |E(G)|=2 n-3.A non-increasing sequence π=(d1,...,dn) of nonnegative integers is a graphic sequence if it is realizable by a simple graph G on n vertices.[Acta Math.Sin.Engl.Ser.,25,795-802(2009)] proved that if k≥2,n≥9/2 k^22+19/2 k and π=(d1,...,dn) is a graphic sequence with∑i=1^n di>(k-2)n,then π has a realization containing every 1-tree(the usual tree) on k vertices.Moreover,the lower bound(k-2)n is the best possible.This is a variation of a conjecture due to Erdos and Sos.In this paper,we investigate an analogue problem for 2-trees and prove that if k≥3 is an integer with k≡i(mod 3),n≥ 20[k/3] 2+31[k/3]+12 and π=(d1,...,dn) is a graphic sequence with ∑i=1^n di>max{k-1)(n-1), 2 [2 k/3] n-2 n-[2 k/3] 2+[2 k/3]+1-(-1)i}, then π has a realization containing every 2-tree on k vertices.Moreover,the lower bound max{(k-1)(n-1), 2[2 k/3]n-2 n-[2 k/3] 2+[2 k/3]+1-(-1)i}is the best possible.This result implies a conjecture due to [Discrete Math.Theor.Comput.Sci.,17(3),315-326(2016)].