Landscape Architecture Planning and Design Based on Landscape Ecology Theory:A Case Study of Waterfront Landscape Planning and Design of Dapo Town

With the rapid development of urbanization,landscape architecture has become an indispensable component of daily life.In order to achieve better landscape effects and protect the ecological environment,landscape ecology theory can be integrated into landscape planning to carry out disciplinary crossing and integration research between landscape ecology and landscape architecture.In this study,based on the basic theories of landscape ecology,the waterfront landscape of Dapo Town was designed,with the aim to achieve ecological balance in planning,showcase biodiversity,and create a harmonious landscape ecological environment which can benefit both nature and people.This design combined artificial and natural elements while improving the natural environment,which promoted a harmonious relationship between humans and nature,thus enriching the spatial organization of the city,and playing a role in regulating the urban environment and climate.

Integrating Salt Culture into Rural Revitalization: Planning and Design of a Thematic Creative Agricultural Garden in Jintan, Jiangsu, China

This research establishes a strategic framework for developing a salt culture-themed agricultural garden in Jintan,Jiangsu to boost rural vibrancy and cultural tourism while honoring local salt heritage.It employs the Analytic Hierarchy Process(AHP)for a data-driven and structured approach to evaluate the sustainability and cultural significance of agricultural initiatives.This framework ensures a balanced blend of agriculture,culture,and tourism to foster a sustainable and culturally rich experience.The study highlights the value of structured methodologies in planning culturally impactful agricultural projects.

Japanese Sign Language Recognition by Combining Joint Skeleton-Based Handcrafted and Pixel-Based Deep Learning Features with Machine Learning Classification

Sign language recognition is vital for enhancing communication accessibility among the Deaf and hard-of-hearing communities.In Japan,approximately 360,000 individualswith hearing and speech disabilities rely on Japanese Sign Language(JSL)for communication.However,existing JSL recognition systems have faced significant performance limitations due to inherent complexities.In response to these challenges,we present a novel JSL recognition system that employs a strategic fusion approach,combining joint skeleton-based handcrafted features and pixel-based deep learning features.Our system incorporates two distinct streams:the first stream extracts crucial handcrafted features,emphasizing the capture of hand and body movements within JSL gestures.Simultaneously,a deep learning-based transfer learning stream captures hierarchical representations of JSL gestures in the second stream.Then,we concatenated the critical information of the first stream and the hierarchy of the second stream features to produce the multiple levels of the fusion features,aiming to create a comprehensive representation of the JSL gestures.After reducing the dimensionality of the feature,a feature selection approach and a kernel-based support vector machine(SVM)were used for the classification.To assess the effectiveness of our approach,we conducted extensive experiments on our Lab JSL dataset and a publicly available Arabic sign language(ArSL)dataset.Our results unequivocally demonstrate that our fusion approach significantly enhances JSL recognition accuracy and robustness compared to individual feature sets or traditional recognition methods.

Effectiveness of aromatherapy with lavender compared to progressive muscle relaxation on anxiety and vital signs in patients under spinal anesthesia:A randomized clinical trial

Objective:This study aimed to determine the effectiveness of aromatherapy with lavender essential oil compared to progressive muscle relaxation(PMR)on anxiety and vital signs of patients under spinal anesthesia.Materials and Methods:This clinical trial was conducted on 120 spinal anesthesia candidates who were randomly assigned into three groups of 40 including control,PMR(Jacobsen group),and aromatherapy.The state-trait anxiety inventory was completed on surgery day and 15 min after the end of the intervention by the samples of all three groups,and at the same time as completing the questionnaire,vital signs were also measured and recorded.Results:The mean score of anxiety after intervention was lower than that before the intervention in the aromatherapy group(P<0.001).The mean score of anxiety in the aromatherapy group was significantly lower than that in the Jacobsen group(P<0.001).Moreover,data analysis showed a significant decrease in the mean arterial blood pressure scores of the PMR(P=008)and aromatherapy(P<0.001)groups and a statistically significant increase in the mean heart rate scores in the control group(P=0.002).Conclusion:The use of aromatherapy with lavender is more effective than PMR therapy in reducing the anxiety level of patients undergoing spinal anesthesia.Due to the high level of anxiety and its serious effects on the patient’s hemodynamics,aromatherapy with lavender can be used as an easy and cheap method to reduce anxiety in operation rooms.

Planning and Design of Beautiful Countryside Based on the Concept of Stormwater Resilience: A Case Study of Shanbei Village, Yunfu City, Guangdong Province

Shanbei Village is a village in Yunfu of Guangdong,which has been seriously affected by flood disasters.In the context of the construction of beautiful countryside,utilizing the concept of resilience stormwater,construction ideas of beautiful countryside of combining the prevention and control of village flood disasters with economic and social development and cultural heritage are proposed.The planning methods of adjusting the planting way of crops,demolition of dwellings in submerged areas and development and utilization of ancient dwellings,sorting out drainage systems and planning“large,medium and small sponges”,and improving the drainage capacity of culverts are summarized.

Planning and Design of Geological Landscape Popular Science Exhibition in Urban Geopark:A Case Study of Zhengzhou Yellow River National Geopark

Urban geopark is the backyard garden of urban residents’life.Geological landscape popular science exhibition enables people to receive geological popular science knowledge easily and happily while playing,which will virtually strengthen people’s protection awareness of urban geological landscape.Urban geopark landscape is featured by unique typical geological characteristics.It is a realistic problem that troubles the planning and design of geological landscape popular science exhibition in urban geopark by effectively protecting these geological landscapes and upgrading them into urban popular science leisure tourism resources.Taking Zhengzhou Yellow River National Geopark as an example,this paper systematically studies the planning and design of geological landscape popular science exhibition in urban geopark.

“Keyboard sign”and“coffee bean sign”in the prenatal diagnosis of ileal atresia:A case report

BACKGROUND Ileal atresia is a congenital abnormality where there is significant stenosis or complete absence of a portion of the ileum.The overall diagnostic accuracy of prenatal ultrasound in detecting jejunal and ileal atresia is low.We report a case of ileal atresia diagnosed prenatally by ultrasound examination with the“keyboard sign”and“coffee bean sign”.CASE SUMMARY We report a case of ileal atresia diagnosed in utero at 31 weeks'of gestation.Prenatal ultrasound examination revealed two rows of intestines arranged in an‘S’shape in the middle abdomen.The inner diameters were 1.7 cm and 1.6 cm,respectively.A typical“keyboard sign”was observed.The intestine canal behind the“keyboard sign”showed an irregular strong echo.There was no normal intestinal wall structure,showing a typical“coffee bean sign”.Termination of the pregnancy and autopsy findings confirmed the diagnosis.CONCLUSION The prenatal diagnosis of ileal atresia is difficult.The sonographic features of the“keyboard sign”and“coffee bean sign”are helpful in diagnosing the location of congenital jejunal and ileal atresia.

Planning and Design of Mountainous Agricultural Sightseeing Garden——a Case Study of Ruimin Agricultural Sightseeing Eco-garden

Agricultural sightseeing project is expanding with social development, yet most are confined in improvements in original gardens, with similar style or pattern. The research took Uupanshui City as an example and analyzed mountain-based ag- ricultural sightseeing in order to discuss the way to propel agriculture integration with leisure tourism, processing, establish new models for sightseeing eco-garden gardens, and benefit economically, socially and ecologically.

Traffic Sign Detection Model Based on Improved RT-DETR

The correct identification of traffic signs plays an important role in automatic driving technology and road safety driving.Therefore,to address the problems of misdetection and omission in traffic sign detection due to the variety of sign types,significant size differences and complex background information,an improved traffic sign detection model for RT-DETR was proposed in this study.Firstly,the HiLo attention mechanism was added to the Attention-based Intra-scale Feature Interaction,which further enhanced the feature extraction capability of the network and improved the detection efficiency on high-resolution images.Secondly,the CAFMFusion feature fusion mechanism was designed,which enabled the network to pay attention to the features in different regions in each channel.Based on this,the model could better capture the remote dependencies and neighborhood feature correlation,improving the feature fusion capability of the model.Finally,the MPDIoU was used as the loss function of the improved model to achieve faster convergence and more accurate regression results.The experimental results on the TT100k-2021 traffic sign dataset showed that the improved model achieves the performance with a precision value of 90.2%,recall value of 88.1%and mAP@0.5 value of 91.6%,which are 4.6%,5.8%,and 4.4%better than the original RT-DETR model respectively.The model effectively improves the problem of poor traffic sign detection and has greater practical value.

A Hybrid Feature Fusion Traffic Sign Detection Algorithm Based on YOLOv7

Autonomous driving technology has entered a period of rapid development,and traffic sign detection is one of the important tasks.Existing target detection networks are difficult to adapt to scenarios where target sizes are seriously imbalanced,and traffic sign targets are small and have unclear features,which makes detection more difficult.Therefore,we propose aHybrid Feature Fusion Traffic Sign detection algorithmbased onYOLOv7(HFFTYOLO).First,a self-attention mechanism is incorporated at the end of the backbone network to calculate feature interactions within scales;Secondly,the cross-scale fusion part of the neck introduces a bottom-up multi-path fusion method.Design reuse paths at the end of the neck,paying particular attention to cross-scale fusion of highlevel features.In addition,we found the appropriate channel width through a lot of experiments and reduced the superfluous parameters.In terms of training,a newregression lossCMPDIoUis proposed,which not only considers the problem of loss degradation when the aspect ratio is the same but the width and height are different,but also enables the penalty term to dynamically change at different scales.Finally,our proposed improved method shows excellent results on the TT100K dataset.Compared with the baseline model,without increasing the number of parameters and computational complexity,AP0.5 and AP increased by 2.2%and 2.7%,respectively,reaching 92.9%and 58.1%.

Correlation between abdominal computed tomography signs and postoperative prognosis for patients with colorectal cancer

BACKGROUND Patients with different stages of colorectal cancer(CRC)exhibit different abdominal computed tomography(CT)signs.Therefore,the influence of CT signs on CRC prognosis must be determined.AIM To observe abdominal CT signs in patients with CRC and analyze the correlation between the CT signs and postoperative prognosis.METHODS The clinical history and CT imaging results of 88 patients with CRC who underwent radical surgery at Xingtan Hospital Affiliated to Shunde Hospital of Southern Medical University were retrospectively analyzed.Univariate and multivariate Cox regression analyses were used to explore the independent risk factors for postoperative death in patients with CRC.The three-year survival rate was analyzed using the Kaplan-Meier curve,and the correlation between postoperative survival time and abdominal CT signs in patients with CRC was analyzed using Spearman correlation analysis.RESULTS For patients with CRC,the three-year survival rate was 73.86%.The death group exhibited more severe characteristics than the survival group.A multivariate Cox regression model analysis showed that body mass index(BMI),degree of periintestinal infiltration,tumor size,and lymph node CT value were independent factors influencing postoperative death(P<0.05 for all).Patients with characteristics typical to the death group had a low three-year survival rate(log-rankχ2=66.487,11.346,12.500,and 27.672,respectively,P<0.05 for all).The survival time of CRC patients was negatively correlated with BMI,degree of periintestinal infiltration,tumor size,lymph node CT value,mean tumor long-axis diameter,and mean tumor short-axis diameter(r=-0.559,0.679,-0.430,-0.585,-0.425,and-0.385,respectively,P<0.05 for all).BMI was positively correlated with the degree of periintestinal invasion,lymph node CT value,and mean tumor short-axis diameter(r=0.303,0.431,and 0.437,respectively,P<0.05 for all).CONCLUSION The degree of periintestinal infiltration,tumor size,and lymph node CT value are crucial for evaluating the prognosis of patients with CRC.

Text Type and C-E Translation of Public Signs

This paper contends that the public sign is a kind of text with such vocative functions as indicating,instructing,restricting,prohibiting,persuading,and publicizing,so it falls into the type of vocative texts.The paper suggests that conveying the vocative function of the public sign is the essential task of the translator,so as to achieve the intended effect of the public sign.

Identification and Acknowledgment of Programmed Traffic Sign Utilizing Profound Convolutional Neural Organization

Traffic signs are basic security workplaces making the rounds,which expects a huge part in coordinating busy time gridlock direct,ensuring the pros-perity of the road and dealing with the smooth segment of vehicles and indivi-duals by walking,etc.As a segment of the clever transportation structure,the acknowledgment of traffic signs is basic for the driving assistance system,traffic sign upkeep,self-administering driving,and various spaces.There are different assessments turns out achieved for traffic sign acknowledgment in the world.However,most of the works are only for explicit arrangements of traffic signs,for example,beyond what many would consider a possible sign.Traffic sign recognizable proof is generally seen as trying on account of various complexities,for example,extended establishments of traffic sign pictures.Two critical issues exist during the time spent identification(ID)and affirmation of traffic signals.Road signs are occasionally blocked not entirely by various vehicles and various articles are accessible in busy time gridlock scenes which make the signed acknowledgment hard and walkers,various vehicles,constructions,and loads up may frustrate the ID structure by plans like that of road signs.Also concealing information from traffic scene pictures is affected by moving light achieved by environment conditions,time(day-night),and shadowing.Traffic sign revelation and affirmation structure has two guideline sorts out:The essential stage incorpo-rates the traffic sign limitation and the resulting stage portrays the perceived traffic signs into a particular class.

Research and Implementation of Traffic Sign Recognition Algorithm Model Based on Machine Learning

Traffic sign recognition is an important task in intelligent transportation systems, which can improve road safety and reduce accidents. Algorithms based on deep learning have achieved remarkable results in traffic sign recognition in recent years. In this paper, we build traffic sign recognition algorithms based on ResNet and CNN models, respectively. We evaluate the proposed algorithm on public datasets and compare. We first use the dataset of traffic sign images from Kaggle. And then designed ResNet-based and CNN-based architectures that can effectively capture the complex features of traffic signs. Our experiments show that our ResNet-based model achieves a recognition accuracy of 99% on the test set, and our CNN-based model achieves a recognition accuracy of 98% on the test set. Our proposed approach has the potential to improve traffic safety and can be used in various intelligent transportation systems.

Strategies for Introducing Energy Saving Idea into Residential Planning and Design in Urban and Rural Areas of China

Currently,energy saving design has been conducted on single building but not on the whole residential community in urban and rural areas.So,the paper has proposed energy saving measures for residential planning from the perspective of site selection and layout of buildings.Specific measures are as follows.Firstly,buildings should be constructed on the sunny side and leeside;secondly,buildings on the south should be lower than those on the north;the east side of the building should be open while the west side should be closed;thirdly,climate protection unit should be set;fourthly,buildings should be of northsouth direction primarily,and the main room should be set on the east side and the assistant rooms or passage on the west side in the buildings of east-west direction;fifthly,it should select compact and wellarranged households and the units should not be combined in point and dislocation and jointing.

Landscape Planning and Design of Urban Waterfront Green Spaces

Definition of urban waterfront green spaces is given,its design principles are summarized as:human-centered,ecology-first,integrated nature and humanity,highlighting regional characteristics,unified planning and overall coordination.Design of ecological plant community,design of traffic network and revetment management is analyzed to explore design contents and techniques of urban waterfront green spaces.In terms of the design of ecological plant community,the selection of landscape plants and landscaping of waterfront green spaces are analyzed;traffic network is further classified into water traffic,waterfront pathway,and driveway system;waterfront revetment management is specifically discussed from the original natural revetment,natural revetment reinforced by natural designs,and natural revetment reinforced by artificial designs.Problems in the modern urban waterfront green spaces are proposed,such as contradictions between diversified functions and simple designs,lack of regional characteristics,viewers are kept away from water;countermeasures are also given in the hope of pushing urban waterfront green spaces in a healthy development road,so as to improve the overall landscape quality of urban waterfront green spaces.

Ecological Restoration and Landscape Construction of Wetland——A Case Study of Planning and Design of Mi River Wetland Park in Linqu of Shandong

Based on geological characteristic of Mi River Wetland Park in Linqu of Shandong,the paper had illustrated historical and cultural spirits of Linqu,and then proposed planning strategies and contents of Mi River Wetland Park.It discussed new approaches for wetland restoration and landscape construction from the perspectives of ecological restoration of wetland system,overall construction of leisure system,and full display of regional characteristic.The construction of wetland system laid stress on water system design,terrain treatment,vegetation construction,and biological diversity creation.Wetland system would be overlaid with leisure system,divided into wetland leisure zone,wetland entertainment zone,humanity landscape zone,wetland science popular zone and wetland experience zone,all of which would be constructed with characteristic respectively.On the basis of site character,the paper had searched an energy balance and substance transformation method between rivers,plants,earth and humans,of certain practicality.

Planning and Design of Sightseeing Agricultural Park Characterized by Mountainous Landscape

After illustration of research and development process of sightseeing agricultural park,the paper had classified sightseeing agricultural park into sightseeing agricultural park,education agricultural park and agricultural garden in terms of development content;into renovation type and newly-built type in accordance with development mode;and into plain type and mountainous type in the light of terrain.From the perspectives of terrain,vegetation,hydrology and ecology,characteristics of landscape resources in mountainous sightseeing agricultural park were analyzed.It proposed principles for planning and design of mountainous sightseeing agricultural park,which were respecting and protecting nature,linking landscape units and coordinating spatial structure,systematicness and protecting inheritance of traditional culture.On this basis,it had illustrated landscape designing theories on architecture and landscape furniture,traffic road,plant greening and water supply and sewerage works.

Park Planning and Design Integrated with Regional Features

Natural environment and historical humanities are the two elements constituting regional features.The construction of urban park should search design language from regional features.The author,taking Dongshan Park in Qianxi County,Hebei Province as an example,discussed how to search local natural environment features,reasonably exploit cultural resources and integrate regional features from the establishment of planning theme to the expression of designing details.

Planning and Design for Eco-Sustainable Farmland Consolidation

With a view of sustainable development, different kinds of farmland consolidation are reviewed. A planning and design mode for eco-sustainable farmland consolidation, which integrated the ecotypic board, the ecotypic tunnel, the ecotypic island, and the ecotypic boundary, is proposed. Then, an actual case of farmland consolidation, a project located in Yinzhou County, Zhejiang Province, is used to demonstrate the effective application procedures of the planning and design mode.