Thinking of Countryside Image and New Countryside Planning with the Renovation Planning of Dazhuang Village as a Study Case

With the construction of new socialist countryside as the background, theories of constructing new countryside were discussed in this study, and approaches to construct new socialist countryside with Chinese countryside landscape images were explored.

Feature Selection for Image Classification Based on a New Ranking Criterion

In this paper, a feature selection method combining the reliefF and SVM-RFE algorithm is proposed. This algorithm integrates the weight vector from the reliefF into SVM-RFE method. In this method, the reliefF filters out many noisy features in the first stage. Then the new ranking criterion based on SVM-RFE method is applied to obtain the final feature subset. The SVM classifier is used to evaluate the final image classification accuracy. Experimental results show that our proposed relief- SVM-RFE algorithm can achieve significant improvements for feature selection in image classification.

A PERSONALIZED IMAGE RETRIEVAL BASED ON VISUAL PERCEPTION

A new scheme named personalized image retrieval technique based on visual perception is proposed in this letter, whose motive is to narrow the semantic gap by directly perceiving user's visual information. It uses visual attention model to segment image regions and eye-tracking technique to record fixations. Visual perception is obtained by analyzing the fixations in regions to measure gaze interests. Integrating visual perception into attention model is to detect the Regions Of Interest (ROIs), whose features are extracted and analyzed, then feedback interests to optimize the results and construct user profiles.

Role of molecular imaging in prognosis,diagnosis,and treatment of gastrointestinal cancers:An update on new therapeutic methods

One of the leading causes of cancer-related death is gastrointestinal cancer,which has a significant morbidity and mortality rate.Although preoperative risk assessment is essential for directing patient care,its biological behavior cannot be accurately predicted by conventional imaging investigations.Potential pathophysiological information in anatomical imaging that cannot be visually identified can now be converted into high-dimensional quantitative image features thanks to the developing discipline of molecular imaging.In order to enable molecular tissue profile in vivo,molecular imaging has most recently been utilized to phenotype the expression of single receptors and targets of biological therapy.It is expected that molecular imaging will become increasingly important in the near future,driven by the expanding range of biological therapies for cancer.With this live molecular fingerprinting,molecular imaging can be utilized to drive expression-tailored customized therapy.The technical aspects of molecular imaging are first briefly discussed in this review,followed by an examination of the most recent research on the diagnosis,prognosis,and potential future clinical methods of molecular imaging for GI tract malignancies.

Emotionally Resonant Branding: The Role of AI in Synthesising Dynamic Brand Images for Artists in the Music Industry

Artificial Intelligence (AI) expands its recognition rapidly through the past few years in the context of generating content dynamically, remarkably challenging the human creativity. This study aims to evaluate the efficacy of AI in enhancing personal branding for musicians, particularly in crafting brand images based on emotions received from the artist’s music will improve the audience perceptions regarding the artist’s brand. Study used a quantitative approach for the research, gathering primary data from the survey of 191 people—music lovers, musicians and music producers. The survey focuses on preferences, perceptions, and behaviours related to music consumption and artist branding. The study results demonstrate the awareness and understanding of AI’s role in personal branding within the music industry. Also, results indicate that such an adaptive approach enhances audience perceptions of the artist and strengthens emotional connections. Furthermore, over 50% of the participants indicated a desire to attend live events where an artist’s brand image adapts dynamically to their emotions. The study focuses on novel approaches in personal branding based on the interaction of AI-driven emotional data. In contrast to traditional branding concepts, this study indicates that AI can suggest dynamic and emotionally resonant brand identities for artists. The real time audience response gives proper guidance for the decision-making. This study enriches the knowledge of AI’s applicability to branding processes in the context of the music industry and opens the possibilities for additional advancements in building emotionally appealing brand identities.

New Edge-Directed Interpolation Based-Lifting DWT and MSPIHT Algorithm for Image Compression

The amount of image data generated in multimedia applications is ever increasing. The image compression plays vital role in multimedia applications. The ultimate aim of image compression is to reduce storage space without degrading image quality. Compression is required whenever the data handled is huge they may be required to sent or transmitted and also stored. The New Edge Directed Interpolation (NEDI)-based lifting Discrete Wavelet Transfrom (DWT) scheme with modified Set Partitioning In Hierarchical Trees (MSPIHT) algorithm is proposed in this paper. The NEDI algorithm gives good visual quality image particularly at edges. The main objective of this paper is to be preserving the edges while performing image compression which is a challenging task. The NEDI with lifting DWT has achieved 99.18% energy level in the low frequency ranges which has 1.07% higher than 5/3 Wavelet decomposition and 0.94% higher than traditional DWT. To implement this NEDI with Lifting DWT along with MSPIHT algorithm which gives higher Peak Signal to Noise Ratio (PSNR) value and minimum Mean Square Error (MSE) and hence better image quality. The experimental results proved that the proposed method gives better PSNR value (39.40 dB for rate 0.9 bpp without arithmetic coding) and minimum MSE value is 7.4.

Body Image and Personality in Aesthetic Plastic Surgery: A Case-Control Study

Introduction: The amount of research on the relationship between plastic surgery and psychological features, such as personality disorders and indexes of body image dissatisfaction, has increased significantly in the last years. Aim: The aim of the present study was to examine these psychological features among Italian patients who underwent aesthetic plastic surgery, testing the mediating role of the mass media influence on the relationship between them and the choice of aesthetic plastic surgery. The Personality Diagnostic Questionnaire 4+ (PDQ-4+) and the Body Uneasiness Test (BUT) were administered to patients who underwent aesthetic plastic surgery (N = 111) and participants who had no history of aesthetic plastic surgical procedures (N = 149). Results: Results showed that aesthetic patients reported higher indexes of body image disturbance than controls. No significant differences between aesthetic participants and controls were found in all three cluster B personality disorders. Moreover, the effect of body image dissatisfaction on the choice to undergo aesthetic plastic surgery was partially mediated by the influence of mass media. Conclusions: In conclusion, the present study confirmed the importance of body dissatisfaction as a predictor of the choice to undergo aesthetic surgery and highlighted the influence of media messages regarding physical appearance.

Campus Design Strategies Based on Spatial Images： A Case Study of Four New Campuses in Chengdu

From 1999, with the rapid expansion of enrollment scale, colleges have experienced fast development and construction of new campuses. However, the urgency of the demand for campus space at that time led to the shortcomings of paying more attention to speed than connotation during the construction of the new campus. Even now the evaluation of new campuses which have been used for nearly twenty years and whether the space of new campuses has played its due role will affect the display of the heritage and temperament of colleges. This paper uses the typical spatial cognitive concept—spatial image to analyse the elements of spatial images on campuses, summarizes the perceptions of teachers and students towards the space of four new campuses in Chengdu through questionnaire survey and analysis, puts forward the principles of campus space design and the strategies of classification design, and intends to take spatial images as the research cut-in point to provide new ideas and suggestions for the design and improvement of campus space from the perspective of users.

Dataset of Large Gathering Images for Person Identification and Tracking

This paper presents a large gathering dataset of images extracted from publicly filmed videos by 24 cameras installed on the premises of Masjid Al-Nabvi,Madinah,Saudi Arabia.This dataset consists of raw and processed images reflecting a highly challenging and unconstraint environment.The methodology for building the dataset consists of four core phases;that include acquisition of videos,extraction of frames,localization of face regions,and cropping and resizing of detected face regions.The raw images in the dataset consist of a total of 4613 frames obtained fromvideo sequences.The processed images in the dataset consist of the face regions of 250 persons extracted from raw data images to ensure the authenticity of the presented data.The dataset further consists of 8 images corresponding to each of the 250 subjects(persons)for a total of 2000 images.It portrays a highly unconstrained and challenging environment with human faces of varying sizes and pixel quality(resolution).Since the face regions in video sequences are severely degraded due to various unavoidable factors,it can be used as a benchmark to test and evaluate face detection and recognition algorithms for research purposes.We have also gathered and displayed records of the presence of subjects who appear in presented frames;in a temporal context.This can also be used as a temporal benchmark for tracking,finding persons,activity monitoring,and crowd counting in large crowd scenarios.

Language Analysis of Liaoning Urban Image in Chinese,American,and Canadian News Framework

The research chose the reports about the cities in Liaoning Province,Dalian,Shenyang,and Anshan as the objects of study.These reports came from the three newspapers China Daily,New York Times,and Globe and Mail.This research was based on Frame Work Theory,and used language analysis and case study as the research methods to identify the discourse and organization.The first result is that there is serious stereotyping about the image of Liaoning cities in American and Canadian news.And Chinese news did not cover entire comprehensive topics and was too late to emergency events,so they lost the chance to be an original source of news and the possibility to set the agenda,even lost the discourse power.The second result is that the differences between Chinese reports and American and Canadian reports implied culture differences,the similarities between Canadian and American reports refer to the culture intercommunity.Third,American and Canadian news used multi-framework to make the reports more reliable,but the lack of multi-dimensional reports declined the trustworthiness.

The Influence of Short Video on City Image Dissemination in the New Media Era——Taking Tik Tok as an Example

With the popularity and rise of Chongqing,Chengdu,Xi’an and other cities on the short video platform,short video is increasingly becoming a new weapon for the construction and dissemination of the city image.Researching on the content,methods and effects of the hottest video APP Tik Tok,this paper adopts research methods of case analysis and text analysis to investigate how short videos promote the spread of urban image,and explore how they can enhance urban image transmission in the new media era in a better way.

The Influence of Consumer Culture on American New Woman and Their Literary Image in the Early 20th Century

By the study of three great American literary works, The Great Gatsby, Tender is the Night and The Age of Innocence, this paper aims to give a holistic interpretation of"New Woman"and their intrinsic relationship with consumer culture in the light of Baudrillard's theories about the consumer society and the consumer culture.

Personalized Web Image Retrieval Based on User Interest Model

The traditional search engines don’t consider that the users interest are different, and they don’t provide personalized retrieval service, so the retrieval efficiency is not high. In order to solve the problem, a method for personalized web image retrieval based on user interest model is proposed. Firstly, the formalized definition of user interest model is provided. Then the user interest model combines the methods of explicit tracking and implicit tracking to improve user’s interest information and provide personalized web image retrieval. Experimental results show that the user interest model can be successfully applied in web image retrieval.

Beautification of Chinese Architectural Images in the New Media Age

From the perspective of communication science,the communication of architectural images in the new media age has an obvious beautifying trend.Due to the differences in politics,economics,and cultural environment between China and western countries,the beautification of architectural images in China is a unique phenomenon.This study classifies the beautification of Chinese architectural images into different types in terms of image communication:audience orientation,time orientation,space orientation,and cultural orientation.By investigating and analyzing relevant cases,this study explores the beautification of Chinese architectural images in the new media age and puts forward thoughts and evaluation,aiming to better comprehend the relationship between beautification and architectural communication.

Images Construction of Soldiers in News Photos of World War II-Take the Example of News of China During the Period from 1942 to 1946

The news photos of News of China are important historical evidence of reflecting the historical reality of anti-fascist war.Content analysis method is used in this article to analyze the soldiers’images constructed in these news photos.From the research we can learn that the News of China presented the image of Chinese soldiers who struggled in trouble at home and abroad,and the image of the Chinese and American soldiers who united together as a whole to fight against the fascist enemy during the World War II.During the war,it inspired people’s hearts and cohesion of social forces,and laid a foundation for the progress of aid to China and the victory of the anti-fascist war.

Eurovet Unveils the New Image of Hong Kong Mode Lingerie 2010 March 30-31, at the Hong Kong Convention and Exhibition Centre

Organized by Eurovet, the world’s leading lingerie and beachwear trade show organizer and supported by Hong

Sensitivity of Personal Account Accumulated Value of New Rural Social Pension Insurance to Variation of Uncertainties

The personal account of new rural social pension insurance raises funds in the form of individual premium-paying,collectively pooled subsidy and government subsidy.The personal account accumulated value has a decisive influence on the payment level of personal account pension.The personal account accumulated value has a direct or indirect relationship with the income level of farmers,premium-paying level,the insured period,investment return rate of funds and other factors.Analysing the impact of infinitesimal variation of these factors on accumulated value of personal account pension,is of great significance to improving and consolidating personal account,and achieving sustainable development of new rural social pension insurance.

A computer-based image analysis for tear ferning featuring

The present work focuses on the development of a novel computer-based approach for tear ferning(TF)featuring.The original TF images of the recently developedfive-point grading scale have been used to assign a grade for any TF image automatically.A vector characteristic(VC)representing each grade was built using the reference images.A weighted combination between features selected from textures analysis using gray level co-occurrence matrix(GLCM),power spectrum(PS)analysis and linear specificity of the image were used to build the VC of each grade.A total of 14 features from texture analysis were used.PS at di®erent frequency points and number of line segments in each image were also used.Five features from GLCM have shown significant di®erences between the recently developed grading scale images which are:angular second moment at 0
and 45
,contrast,and correlation at 0
and 45
;thesefive features were all included in the characteristic vector.Three specific power frequencies were used in the VC because of the discrimination power.Number of line segments was also chosen because of dissimilarities between images.A VC for each grade of TF reference images was constructed and was found to be significantly different from each other's.This is a basic and fundamental step toward an automatic grading for computer-based diagnosis for dry eye.

Body Image Disturbance and Dissatisfaction, Scorn and Stigma in Severely Obese Individuals, a Case-Control Study

Background: The obesity rate is rising. The aims of this study were to elucidate the connection among body image disturbance and dissatisfaction, scorn and stigma in severely obese individuals using a case-control method. Method: The study group consisted of 112 individuals receiving permanent disability pensions primarily for obesity. The controls were selected by random sampling. The controls were matched with the subjects by place of residence, gender, age, the time since the pension was granted and occupation. Psychiatric interviews and psychological assessments were conducted with all participants. The results were analyzed via chi-squared tests (χ2-tests) and percent distributions. The subject and control groups were compared via paired t-tests. Conditional logistic regression analysis was also conducted. Results: In the Draw a Person test, we found disorganization of the body image to some degree in the subject group. Some significant differences were found between the Machover index and the wholeness index. The Rorschach variables obtained some differences in the responses between the subject and control groups. Obesity was a problem in all age groups. In the study group, half of the participants thought that they were obese. Most of the participants had endured scorn and contempt directed at them due to being overweight. Conclusions: We believe that our study provides a novel and necessary overview of the connection among body image disturbance and dissatisfaction, scorn and stigma.