Nursing effect of narrative nursing intervention on postoperative patients with severe lung cancer

BACKGROUND Lung cancer is a common disease with high mortality,and psychological support is very important in the diagnosis and treatment of postoperative patients with cancer pain.AIM To explore the application effect of the narrative nursing method in postoperative lung cancer patients in the intensive care unit.METHODS A total of 120 patients diagnosed with lung cancer and experiencing cancer-related pain were randomly allocated into two groups:an observation group and a control group,each consisting of 60 cases.The control group was given routine analgesic and psychological care,while the research group applied the five-step narrative nursing method based on routine care,comparing the visual analogue scale scores,sleep status,anxiety and depression status,and quality of life of the two groups of patients before and after the intervention.RESULTS The pain scores,anxiety scores,and depression scores of the study group were lower than those of the control group after the intervention using the narrative nursing method,and the difference was statistically significant(P<0.05).CONCLUSION Using narrative nursing methods to intervene in patients with lung cancer combined with cancerous pain can help patients to correctly recognize their disease,adjust their mentality,establish confidence,alleviate patients'subjective pain feelings,and improve their adverse emotions.

Research on Unreliable Narration of Love Writing in “The Bear Came over the Mountain”

Alice Munro,a famous Canadian Canadian short-story writer.She gained the Nobel Prize for Literature in 2013.Munro’s works focus on women and adolescents.She also writes about the illness and love of the elderly.“The Bear Came over the Mountain”is one of them.In this story,Munro adopts unreliable narration to depict love between Grant and Fiona.This paper aims to study the love writing and its unreliable narration in this story.Based on the text of love writing,this paper analyzes the specific strategies of unreliable narration.The author believes that the unreliable narration of the love text in the story can be divided into the unreliable narration of character type and information type.Through analysis of these two types of narration in the story,special meaning of unreliable narration to describe love can be found.Besides,Munro’s description also contains her own insight of love:the course of true love does not always run smooth.

Scene 3-D Reconstruction System in Scattering Medium

Research on neural radiance fields for novel view synthesis has experienced explosive growth with the development of new models and extensions.The NeRF(Neural Radiance Fields)algorithm,suitable for underwater scenes or scattering media,is also evolving.Existing underwater 3D reconstruction systems still face challenges such as long training times and low rendering efficiency.This paper proposes an improved underwater 3D reconstruction system to achieve rapid and high-quality 3D reconstruction.First,we enhance underwater videos captured by a monocular camera to correct the image quality degradation caused by the physical properties of the water medium and ensure consistency in enhancement across frames.Then,we perform keyframe selection to optimize resource usage and reduce the impact of dynamic objects on the reconstruction results.After pose estimation using COLMAP,the selected keyframes undergo 3D reconstruction using neural radiance fields(NeRF)based on multi-resolution hash encoding for model construction and rendering.In terms of image enhancement,our method has been optimized in certain scenarios,demonstrating effectiveness in image enhancement and better continuity between consecutive frames of the same data.In terms of 3D reconstruction,our method achieved a peak signal-to-noise ratio(PSNR)of 18.40 dB and a structural similarity(SSIM)of 0.6677,indicating a good balance between operational efficiency and reconstruction quality.

YOLOv5ST:A Lightweight and Fast Scene Text Detector

Scene text detection is an important task in computer vision.In this paper,we present YOLOv5 Scene Text(YOLOv5ST),an optimized architecture based on YOLOv5 v6.0 tailored for fast scene text detection.Our primary goal is to enhance inference speed without sacrificing significant detection accuracy,thereby enabling robust performance on resource-constrained devices like drones,closed-circuit television cameras,and other embedded systems.To achieve this,we propose key modifications to the network architecture to lighten the original backbone and improve feature aggregation,including replacing standard convolution with depth-wise convolution,adopting the C2 sequence module in place of C3,employing Spatial Pyramid Pooling Global(SPPG)instead of Spatial Pyramid Pooling Fast(SPPF)and integrating Bi-directional Feature Pyramid Network(BiFPN)into the neck.Experimental results demonstrate a remarkable 26%improvement in inference speed compared to the baseline,with only marginal reductions of 1.6%and 4.2%in mean average precision(mAP)at the intersection over union(IoU)thresholds of 0.5 and 0.5:0.95,respectively.Our work represents a significant advancement in scene text detection,striking a balance between speed and accuracy,making it well-suited for performance-constrained environments.

Towards complex scenes: A deep learning-based camouflaged people detection method for snapshot multispectral images

Camouflaged people are extremely expert in actively concealing themselves by effectively utilizing cover and the surrounding environment. Despite advancements in optical detection capabilities through imaging systems, including spectral, polarization, and infrared technologies, there is still a lack of effective real-time method for accurately detecting small-size and high-efficient camouflaged people in complex real-world scenes. Here, this study proposes a snapshot multispectral image-based camouflaged detection model, multispectral YOLO(MS-YOLO), which utilizes the SPD-Conv and Sim AM modules to effectively represent targets and suppress background interference by exploiting the spatial-spectral target information. Besides, the study constructs the first real-shot multispectral camouflaged people dataset(MSCPD), which encompasses diverse scenes, target scales, and attitudes. To minimize information redundancy, MS-YOLO selects an optimal subset of 12 bands with strong feature representation and minimal inter-band correlation as input. Through experiments on the MSCPD, MS-YOLO achieves a mean Average Precision of 94.31% and real-time detection at 65 frames per second, which confirms the effectiveness and efficiency of our method in detecting camouflaged people in various typical desert and forest scenes. Our approach offers valuable support to improve the perception capabilities of unmanned aerial vehicles in detecting enemy forces and rescuing personnel in battlefield.

A Study on the Symbol-Based Narrative in the International Communication of Cities

Cultural symbols,a manifestation of cities’cultural resources,are not only signs that frame concepts but also forms that express meanings.Exploring the international communication of cities from the perspective of symbols,this paper analyzes in depth how cities create their cultural symbols in the dynamic process of international communication in an era of symbol-based digital media,and how they develop their narratives and explain meanings through the dissemination of symbols when telling their stories to international audiences,thus enhancing the efficiency and effectiveness of their international communication efforts.

The Study on the Spatial Narrative in Jin Yucheng’s Flowers of Shanghai

Spatial narrative,as a unique literary narrative technique,focuses on advancing the plot and shaping characters through meticulous portrayal of space,providing readers with rich visual and perceptual experiences.This paper examines the spatial narrative utilized in Jin Yucheng’s novel,Flowers of Shanghai.Through an in-depth analysis of the spatial narrative techniques in the novel,this paper asserts that such an exploration has far-reaching consequences in broadening research perspectives and fostering interdisciplinary collaborations between literature and geography.Furthermore,the paper explores the unique aspects of narrative perspective,narrative structure,and narrative time in Flowers of Shanghai,and how these elements perfectly combine with spatial narrative to create a fascinating literary world for readers.The aim of this study is to deeply explore the artistic value and literary charm of the novel through a comprehensive interpretation of the spatial narrative in Flowers of Shanghai.

A Survey of Crime Scene Investigation Image Retrieval Using Deep Learning

Crime scene investigation(CSI)image is key evidence carrier during criminal investiga-tion,in which CSI image retrieval can assist the public police to obtain criminal clues.Moreover,with the rapid development of deep learning,data-driven paradigm has become the mainstreammethod of CSI image feature extraction and representation,and in this process,datasets provideeffective support for CSI retrieval performance.However,there is a lack of systematic research onCSI image retrieval methods and datasets.Therefore,we present an overview of the existing worksabout one-class and multi-class CSI image retrieval based on deep learning.According to theresearch,based on their technical functionalities and implementation methods,CSI image retrievalis roughly classified into five categories:feature representation,metric learning,generative adversar-ial networks,autoencoder networks and attention networks.Furthermore,We analyzed the remain-ing challenges and discussed future work directions in this field.

A Dual Domain Robust Reversible Watermarking Algorithm for Frame Grouping Videos Using Scene Smoothness

The proposed robust reversible watermarking algorithm addresses the compatibility challenges between robustness and reversibility in existing video watermarking techniques by leveraging scene smoothness for frame grouping videos.Grounded in the H.264 video coding standard,the algorithm first employs traditional robust watermark stitching technology to embed watermark information in the low-frequency coefficient domain of the U channel.Subsequently,it utilizes histogram migration techniques in the high-frequency coefficient domain of the U channel to embed auxiliary information,enabling successful watermark extraction and lossless recovery of the original video content.Experimental results demonstrate the algorithm’s strong imperceptibility,with each embedded frame in the experimental videos achieving a mean peak signal-to-noise ratio of 49.3830 dB and a mean structural similarity of 0.9996.Compared with the three comparison algorithms,the performance of the two experimental indexes is improved by 7.59%and 0.4%on average.At the same time,the proposed algorithm has strong robustness to both offline and online attacks:In the face of offline attacks,the average normalized correlation coefficient between the extracted watermark and the original watermark is 0.9989,and the average bit error rate is 0.0089.In the face of online attacks,the normalized correlation coefficient between the extracted watermark and the original watermark is 0.8840,and the mean bit error rate is 0.2269.Compared with the three comparison algorithms,the performance of the two experimental indexes is improved by 1.27%and 18.16%on average,highlighting the algorithm’s robustness.Furthermore,the algorithm exhibits low computational complexity,with the mean encoding and the mean decoding time differentials during experimental video processing being 3.934 and 2.273 s,respectively,underscoring its practical utility.

Intelligent Sensing and Control of Road Construction Robot Scenes Based on Road Construction

Automatic control technology is the basis of road robot improvement,according to the characteristics of construction equipment and functions,the research will be input type perception from positioning acquisition,real-world monitoring,the process will use RTK-GNSS positional perception technology,by projecting the left side of the earth from Gauss-Krueger projection method,and then carry out the Cartesian conversion based on the characteristics of drawing;steering control system is the core of the electric drive unmanned module,on the basis of the analysis of the composition of the steering system of unmanned engineering vehicles,the steering system key components such as direction,torque sensor,drive motor and other models are established,the joint simulation model of unmanned engineering vehicles is established,the steering controller is designed using the PID method,the simulation results show that the control method can meet the construction path demand for automatic steering.The path planning will first formulate the construction area with preset values and realize the steering angle correction during driving by PID algorithm,and never realize the construction-based path planning,and the results show that the method can control the straight path within the error of 10 cm and the curve error within 20 cm.With the collaboration of various modules,the automatic construction simulation results of this robot show that the design path and control method is effective.

An Exploration of Traditional Chinese Cultural Programs:The Construction of Rituals,Narrative Strategies,and Experiential Insights

In the context of the cultural development of the new era and the burgeoning spiritual demands of the people,there has been a remarkable surge in the proliferation of traditional Chinese cultural programs.The“Chinese Festivals”series,produced by Henan TV,standing out as an engaging TV program that showcases traditional Chinese culture,has rapidly captivated a diverse audience across different age groups,creating a rich,multi-dimensional,and cross-media cultural communication ecosystem.The program strategically selects symbolic elements by systematically categorizing and organizing traditional Chinese cultural symbols to create a rich cultural space.It employs cutting-edge scientific and technological methods to enrich viewer immersion,crafting media rituals with both temporal significance and a profound sense of media ritual.This approach boosts the program’s popularity and sets a benchmark for industry innovation.By fostering an interactive narrative between mainstream media and the public,the program continuously broadens the scope of the“story world,”fostering a harmonious and structured national cultural community through the creative interpretation of traditional Chinese culture and the evocative crafting of the aesthetic sensibilities inherent in Chinese art.It is worth noting that the phenomenon of aesthetic fatigue besets the development of this serial program.To address this issue and further improve the appeal of the program,a comprehensive approach is required to develop a cohesive narrative mode for the“story world.”This involves harmonizing the interplay between artistic endeavors and technological advancements,synchronizing sensory experiences with the foundational ritualistic elements,and enhancing the effectiveness of the media communication matrix to construct a brand of media culture that has social significance,aesthetic value,and economic profits in the new era.

Narrative nursing for negative emotions in patients with acute pancreatitis:Based on model construction and application

BACKGROUND Acute pancreatitis(AP),as a common acute abdomen disease,has a high incidence rate worldwide and is often accompanied by severe complications.Negative emotions lead to increased secretion of stress hormones,elevated blood sugar levels,and enhanced insulin resistance,which in turn increases the risk of AP and significantly affects the patient's quality of life.Therefore,exploring the intervention effects of narrative nursing programs on the negative emotions of patients with AP is not only helpful in alleviating psychological stress and improving quality of life but also has significant implications for improving disease outcomes and prognosis.AIM To construct a narrative nursing model for negative emotions in patients with AP and verify its efficacy in application.METHODS Through Delphi expert consultation,a narrative nursing model for negative emotions in patients with AP was constructed.A non-randomized quasi-experimental study design was used in this study.A total of 92 patients with AP with negative emotions admitted to a tertiary hospital in Nantong City of Jiangsu Province,China from September 2022 to August 2023 were recruited by convenience sampling,among whom 46 patients admitted from September 2022 to February 2023 were included in the observation group,and 46 patients from March to August 2023 were selected as control group.The observation group received narrative nursing plan,while the control group was given with routine nursing.Self-rating anxiety scale(SAS),self-rating depression scale(SDS),positive and negative affect scale(PANAS),caring behavior scale,patient satisfaction scale and 36-item short form health survey questionnaire(SF-36)were used to evaluate their emotions,satisfaction and caring behaviors in the two groups on the day of discharge,1-and 3-month following discharge.RESULTS According to the inclusion and exclusion criteria,a total of 45 cases in the intervention group and 44 cases in the control group eventually recruited and completed in the study.On the day of discharge,the intervention group showed significantly lower scores of SAS,SDS and negative emotion(28.57±4.52 vs 17.4±4.44,P<0.001),whereas evidently higher outcomes in the positive emotion score,Caring behavior scale score and satisfaction score compared to the control group(P<0.05).Repeated measurement analysis of variance showed that significant between-group differences were found in time effect,inter-group effect and interaction effect of SAS and PANAS scores as well as in time effect and inter-group effect of SF-36 scores(P<0.05);the SF-36 scores of two groups at 3 months after discharge were higher than those at 1 month after discharge(P<0.05).CONCLUSION The application of narrative nursing protocols has demonstrated significant effectiveness in alleviating anxiety,ameliorating negative emotions,and enhancing satisfaction among patients with AP.

A Study on the Contradictory Narrative of Süskind’s “Perfume”

Süskind’s “Perfume” constructs the story frame of the text through three sets of contradictory narratives, exploring the process of Grenouille, who is regarded as an alien by others, trying to find and construct true meaning of being a human being from three aspects: human smell, emotion, and discourse. This process constantly encounters deconstruction from its own smelllessness, senselessness and aphasia, thereby implying the lack of human subjectivity and value through Grenouille’s failure to find identity. It also uses the image of perfume to express the author’s deep concerns about the loss of subjectivity, the disillusionment of classical morality, and the violence of industrial civilization in France and even Europe in the eighteenth century.

Ground target localization of unmanned aerial vehicle based on scene matching

In order to improve target localization precision,accuracy,execution efficiency,and application range of the unmanned aerial vehicle(UAV)based on scene matching,a ground target localization method for unmanned aerial vehicle based on scene matching(GTLUAVSM)is proposed.The sugges-ted approach entails completing scene matching through a feature matching algorithm.Then,multi-sensor registration is optimized by robust estimation based on homologous registration.Finally,basemap generation and model solution are utilized to improve basemap correspondence and accom-plish aerial image positioning.Theoretical evidence and experimental verification demonstrate that GTLUAVSM can improve localization accuracy,speed,and precision while minimizing reliance on task equipment.

Analysis of the Characterization of the Old Man in“The Law of Life”from the Narrative Perspective

“The Law of Life”is one of Jack London’s representative works,depicting the story of an elderly Native American abandoned by his family,alone and waiting for life to fade away.This paper,based on narrative theory,aims to explore how the author employs narrative techniques to present the image of the old man in the short story.The narrative techniques of dual focalization and dual narrative timelines in the text demonstrate the abandonment of the old man’s homeland and his inescapable death under a naturalistic view of life and reflect a desolate life picture of resignation towards death under naturalistic determinism,depicting a grim elderly world under the naturalistic concept of“survival of the fittest.”Studying this short story helps us reflect on the living conditions of the elderly and provides insights into how to better care for the elderly population amid the global trend of aging.

The Exploration of Teaching Historical Narratives Through Edith Wharton’s The Age of Innocence

Wharton’s novels serve as compelling cases for understanding the complexities of late 19th-century American society.The paper uses The Age of Innocence as an example to examine detailed depiction of the era’s social hierarchy,fashion,architecture,and the intricate social rituals that defined New York’s upper class.It explores the constraints and dilemmas women faced within a patriarchal society,highlighting Wharton’s personal experiences and her critical stance on the social norms of her time.The characters of Newland Archer,May Welland,and Ellen Olenska are analyzed to reveal the pressures of societal expectations and the struggles for individual desires within a rigid social structure.Additionally,the paper proposes various teaching methods,including contextual understanding,literary analysis with a historical focus,and historical research projects,to enhance students’comprehension of the cultural and historical context of the novel.These methods aim to immerse students in the narrative and promote their understanding of the Gilded Age’s social dynamics.

Narrative Empathy and Patriotism--An Analysis of the Chinese“Main-Melody”Film My People,My Country

Narrative empathy is a relatively new theory and it can guide researchers in the studies of main-melody films so as to promote the communication of the core values of the society.The rhetorical mechanism of narrative empathy can be illustrated from five rhetorical elements,including rhetor,rhetorical goal,rhetorical situation,rhetorical strategy and audience.The theory of narrative empathy can be applied to the case study of the film My People,My Country.In the production of this film,the directors are the rhetors.The rhetors uphold the tenet of closeness,choose the right rhetorical situation as the 70th birthday of the People’s Republic of China,and use appropriate rhetorical strategies in order to realize the rhetorical goals of evoking empathy and inspiring patriotic feelings in the audience’s minds.An exploration and application of narrative empathy can be conducive to the empathic communication of Chinese main-melody films in order to achieve better communication effect.

The Fusion of Temporal Sequence with Scene Priori Information in Deep Learning Object Recognition

For some important object recognition applications such as intelligent robots and unmanned driving, images are collected on a consecutive basis and associated among themselves, besides, the scenes have steady prior features. Yet existing technologies do not take full advantage of this information. In order to take object recognition further than existing algorithms in the above application, an object recognition method that fuses temporal sequence with scene priori information is proposed. This method first employs YOLOv3 as the basic algorithm to recognize objects in single-frame images, then the DeepSort algorithm to establish association among potential objects recognized in images of different moments, and finally the confidence fusion method and temporal boundary processing method designed herein to fuse, at the decision level, temporal sequence information with scene priori information. Experiments using public datasets and self-built industrial scene datasets show that due to the expansion of information sources, the quality of single-frame images has less impact on the recognition results, whereby the object recognition is greatly improved. It is presented herein as a widely applicable framework for the fusion of information under multiple classes. All the object recognition algorithms that output object class, location information and recognition confidence at the same time can be integrated into this information fusion framework to improve performance.

Writing the Silenced Female Body, Scrutinizing the Grand Narrative of Colonization and Decolonization: The Body in Zoë Wicomb’s David’s Story

David’s Story by Zoë Wicomb addresses the complexities of representing female suffering and the limitations of traditional historical narratives in capturing the experiences of marginalized bodies.It challenges the grand narratives of national history by emphasizing the indispensable role of women’s experiences.Through characters like Dulcie and Rachael,Wicomb portrays the female body as a site of resistance and resilience,highlighting the need for more nuanced and inclusive ways of documenting history.Underscoring the inexpressibility of trauma and the limitations of language and representation,the novel self-reflexively acknowledges its own aporia of completing the narrative,embodying the ongoing struggle to capture the full breadth of human experience.

The “Panchatantra” Narrative Structure and the Writing of Indian Women’s Dilemma in Suraj Ka Satvan Ghoda

Dharamvir Bharati’s Suraj Ka Satvan Ghoda connects the text with the social reality,through the multiple narrative perspectives of the“Panchatantra”Narrative Structure and the love stories,and narrates the survival and spiritual dilemma of Indian women in the transformation of India’s modernization.The novel depicts in both content and form the plight of Indian women’s physical and spiritual dependence under the traditional concepts of arranged marriages,caste marriages,dowry system and patriarchal will,and shows the process of women’s body and self-consciousness gradually moving from vitality to extinction.