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.

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.

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.

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.

Transmutation of Cai Lun’s Image

The earliest description of Cai Lun is that of an inventor of papermaking,which is included in historical books such as Dong Guan Han Ji and The Book of the Later Han;later,in his hometown,he was also inked by scholars because of some monuments about him,or the authors used his experience to express their own emotions.Recently,Cai Lun’s image has been clarified in textbooks,literary works,and urban civilization construction and is no longer considered merely a pioneer of papermaking.The development of his historical and literary image derives not only from the need for academic research but also the need to establish the Chinese nationalism and patriotism and promote traditional culture.

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.

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.

Personalized cardiovascular intervention simulation system

Background This study proposes a series of geometry and physics modeling methods for personalized cardiovascular intervention procedures,which can be applied to a virtual endovascular simulator.Methods Based on personalized clinical computed tomography angiography(CTA)data,mesh models of the cardiovascular system were constructed semi-automatically.By coupling 4 D magnetic resonance imaging(MRI)sequences corresponding to a complete cardiac cycle with related physics models,a hybrid kinetic model of the cardiovascular system was built to drive kinematics and dynamics simulation.On that basis,the surgical procedures related to intervention instruments were simulated using specially-designed physics models.These models can be solved in real-time;therefore,the complex interactions between blood vessels and instruments can be well simulated.Additionally,X-ray imaging simulation algorithms and realistic rendering algorithms for virtual intervention scenes are also proposed.In particular,instrument tracking hardware with haptic feedback was developed to serve as the interaction interface of real instruments and the virtual intervention system.Finally,a personalized cardiovascular intervention simulation system was developed by integrating the techniques mentioned above.Results This system supported instant modeling and simulation of personalized clinical data and significantly improved the visual and haptic immersions of vascular intervention simulation.Conclusions It can be used in teaching basic cardiology and effectively satisfying the demands of intervention training,personalized intervention planning,and rehearsing.

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.

Makeup Activates Brain Activity in Visually Impaired Persons: Evaluation by Functional Magnetic Resonance Imaging

Cosmetics are used to improve physical appearance, but the benefits may be limited to people without visual impairment. The importance of attractiveness among blind persons has not been assessed. We investigated the influence of makeup on brain activity of blind persons using functional magnetic resonance imaging (fMRI). Participants were 7 blind females (BFs) who learned to fully apply makeup and 9 mostly age-matched normally sighted females (NSFs). Brain activity was measured using fMRI before and after application of makeup and during a makeup image task in each state. In the default mode network at rest, there was no difference between the BFs and NSFs. However, a lateral visual network to the opposite side was observed in the NSFs, whereas no such network was noted in the BFs. A weak network was noted in the BFs in the occipital fusiform gyrus and temporal occipital fusiform cortex, and an extensive visual area network defect was noted. Also, activity after makeup application was significantly higher in the nucleus accumbens, pallidum, and hippocampus. Activity in the right middle cingulate gyrus, right cerebral white matter, and right anterior cingulate gyrus was higher before makeup in both BFs and NSFs, and the activity was significantly higher and more extensive in the BFs. In conclusion, applying makeup is a personally rewarding activity, even for BFs, as it strongly activates the reward system and the reward/memory system network, even in the absence of a visual area network.

Jim's Image from the Perspective of Jung's Psychology--A Brief Analysis on the Image of Jim in Lucky Jim

Lucky Jimis a novel that reflects the social reality of British society in the 1950s.The protagonist Jim is common but special in the British society at that time.This article intends to analyze Jim's image and experiences from the perspectives of personality mask and Anima,which are included in Carl GustavJung's"mental structure of person",to reveal the intrinsic meaning of the novel as well as the social reality of that time.

Evaluation of facial temperature distribution changes during meditation using infrared thermal imaging:An experimental,cross-over study

Objective:To investigate the differences between meditation and resting states using infrared thermal imaging(IRTI)to determine facial temperature distribution features during meditation and annotate the patterns of facial temperature changes during meditation from the perspective of traditional Chinese medicine facial diagnosis.Methods:Each participant performed 10 min meditation and 10 min resting but in different sequences.A concentration test was set as the task load,followed by a meditation/resting or resting/meditation session,during which the participants'facial temperatures were observed using IRTI.Participants were scored on the Big Five Inventory(BFI)and Mindful Attention Awareness Scale(MAAS).Results:Forehead temperatures decreased more during meditation than during the resting state.The chin temperature increased only during meditation(P<.0001).For the subjects with meditation experience,there were significant differences in the temperatures of the left forehead(P<.01),right forehead(P<.01)and chin(P<.05)between the meditation and resting state at the 10~(th)min.In the nontask state,the BFI-Extraversion showed a negative correlation with the temperature of the left forehead(R=-0.41,P=.03).In the post-task state,the temperature of the left forehead was negatively correlated with scores on the MAAS(R=-0.42,P=.02).Conclusion:Using IRTI to study meditation offers a practical solution to the challenges in meditation research.The results indicate that an increase in chin temperature may be a representative feature of a meditation state,and forehead temperature is also a potential indicator.

医学影像相关专业实习导师制的实践探讨

医学生实习导师制作为人才培养新模式,在临床实习教学中具有很多优势。大连医科大学附属第二医院放射科在多年的导师制实践中进行了不断的改革与完善。包括综合衡量导师与学生各项素质,从而甄选合格的实习导师,并进行导师与学生的双向选择,建立完整考核体系。并在教学过程中实现教学内容的标准化和对学生的个性化培养,规范导师群体考评奖惩制度等一系列管理制度的完善与发展。同时也在实施过程中发现导师教学未尽其职、学生积极性欠佳以及教学方式、内容受限等一系列的问题,导致教学成果不理想。当然,导师制的优势也在逐步展现,不仅使实习学生在学习、工作甚至科研创新等多方面收获良多,而且对参与其中的实习导师的教学与个人发展也意义颇深。随着导师制的发展,其存在的问题将不断完善,定会培养更多优秀的毕业生。

品牌形象视域下的日用瓷家族化设计策略研究

品牌是企业核心竞争力,产品形象是品牌塑造之基,品牌塑造是产品形象之本。家族化设计是当代产品开发与品牌形象塑造的优化策略,具有传承性、稳定性与差异性特征。家族化设计对于日用瓷设计与品牌形象传播,意义重大。以问题意识为导向,从统一造型符号的设计传承、相似纹样符号的设计延展、个性釉色符号的稳中求变、稳定工艺符号的传承创新四方面,多维度构建日用瓷家族化设计的统一传承符号,并提出日用瓷家族化设计的实现策略。通过日用瓷家族化设计,引发用户日用瓷个性与品牌形象的联想匹配体验,促进日用瓷品牌的高质量发展,实现陶瓷强国的伟大目标。

不同人格特质消费者的产品造型意象认知差异研究

获取不同人格特质消费者产品造型意象感性认知与差异。以人格特质中的“大五”人格理论为基础,以家用小型宠物喂食器为例,采用语义差异法与问卷法获取消费者的造型意象认知信息,分析各群体的认知差异。研究发现在“普通与新颖”“实用与花哨”“简约与复杂”“协调与奇异”4个造型意象维度上,外倾性、神经质、开放性消费者群体的认知与其他群体的认知表现出了不同的差异性,这种差异与消费者认知经验、造型意象内涵相关。该分析结果为产品造型意象构建与设计创新提供了支撑。

个性化护理干预对肿瘤患者^(18)F-FDG PET/CT检查质量及图像质量的影响研究

目的探讨个性化护理干预对肿瘤患者^(18)F-FDG PET/CT检查质量及图像质量的影响。方法选取2020年1月至2022年12月在广西医科大学附属肿瘤医院行^(18)F-FDG PET/CT检查的100例肿瘤患者作为研究对象,随机分为观察组和对照组,每组各50例。对照组实施常规护理干预,观察组实施个性化护理干预,比较两组患者的检查质量及图像质量。结果观察组在显像剂外漏(P=0.017)、注射次数(P=0.042)、肠道摄取增高(P=0.046)、声带摄取增高(P=0.037)、眼肌摄取增高(P=0.027)、全身肌肉摄取增高(P=0.037)发生率均低于对照组,差异有统计学意义(P<0.05)。结论对肿瘤患者在^(18)F-FDG PET/CT显像检查过程中实施个性化护理干预,有利于提高检查质量和图像质量,使患者和医护人员共同获益,值得推广。

人工智能技术在医学影像学教学中的应用与评估

本文综述了人工智能(artificial intelligence,AI)技术在医学影像学教学中的应用及其对教育实践的革新作用。AI的集成不仅更新了教学内容,引入了先进的影像分析工具,而且通过翻转课堂和项目式学习等方法,增强了学生的互动和实践能力。个性化学习路径和多元化评估机制的实施,为学生提供了更加丰富的学习体验。尽管存在技术快速迭代和伦理问题等挑战,本文提出了面向教育者、政策制定者和学者的建议,旨在推动AI技术的有效应用,培养具备未来医疗领域需求的专业人才。

《古船》三重人格结构分析

精神分析学派创始人弗洛伊德提出三重人格结构学说,即享乐原则的“本我”、现实原则的“自我”以及求善原则的“超我”。以心理批评的视角切入《古船》,可以看到众多意蕴丰富的圆形人物。隋不召率真随性,常展现“本我”的一面;隋见素追求利益,遵循“自我”的现实规范;隋抱朴抑制欲望,是“超我”的道德模范。隋氏家族三位主要人物的人格结构在故事进程中发生着动态的变化,本我、自我、超我三者相互作用,使得人物形象充满艺术的张力。同时,作家张炜的性格气质在作品人物身上也有所体现。

行人重识别技术在洗煤厂中的应用研究

针对洗煤厂在行人重识别过程中由于设备遮挡、分辨率低、光线变化等原因造成行人身份识别为None及误识别的问题,基于FastReID算法对行人重识别技术进行优化。首先,设计了一种保存陌生人特征图的方法,以增加行人重识别技术的实用性;其次,根据初始行人身份信息,校正误识别行人身份信息,减少行人识别为None及误识别的次数;最后,优化人员特征图像库,补充行人特征图像,从而提高行人重识别的准确率。经实验表明,通过自动保存陌生人图像的方法在行人重识别过程中识别准确率可以达到91.87%,通过校正行人身份信息以及优化人员特征图像库的方法可以将行人身份识别为None次数及误识别次数均减少80%以上。

高职人物形象设计专业教学资源库建设与应用研究

建设人物形象设计专业教学资源库是“服务全民终身学习”的需要,也是传承创新民族妆造艺术文化的需要。本文对高职人物形象设计专业教学资源库建设必要性、原则、目标、思路、内容和保障措施进行深入研究,在“五大原则”指导下,构建“八类素材”“十门课程”“一大平台”和“四个中心”建设框架,旨在分层分型建设一个具有专业化、特色化、实用性、前瞻性、能学辅教、具有明显民族特色、体现传承保护和创新超越相结合的职业教育专业教学资源库。