An Effective Surface Modeling Method for Car Styling from a Side-View Image

We introduce an almost-automatic technique for generating 3D car styling surface models based on a single side-view image. Our approach combines the prior knowledge of car styling and deformable curve network model to obtain an automatic modeling process. Firstly, we define the consistent parameterized curve template for 2D and 3D case respectivelyby analyzingthe characteristic lines for car styling. Then, a semi-automatic extraction from a side-view car image is adopted. Thirdly, statistic morphable model of 3D curve network isused to get the initial solution with sparse point constraints.Withonly afew post-processing operations, the optimized curve network models for creating surfaces are obtained. Finally, the styling surfaces are automatically generated using template-based parametric surface modeling method. More than 50 3D curve network models are constructed as the morphable database. We show that this intelligent modeling toolsimplifiesthe exhausted modeling task, and also demonstratemeaningful results of our approach.

INTELLIGENT CAR STYLING TECHNIQUE AND SYSTEM BASED ON A NEW AERODYNAMIC-THEORETICAL MODEL

Car styling technique based on a new theoretical model of automotiveaerodynamics is introduced, which is proved to be feasible and effective by wind tunnel tests.Development of a multi-module software system from this technique, including modules of knowledgeprocessing, referential styling and ANN aesthetic evaluation etc, capable of assisting car stylingworks in an intelligent way, is also presented and discussed.

TD Styling之眼镜三维建模、渲染介绍

TD Styling是Extech公Think Design产品的工业造型模块，它提供了一整套的刨新设计手段。可以帮助设计师从一张草图开始，顺利的完成产品的造型设计。本文以设计眼镜为例，简要介绍了基于TDStyling的眼镜基本建模、静态渲染等过程。

TD Styling在牙刷产品设计中的典型应用

牙刷是我们日常生活中必不可少的生活用品。牙刷需求量非常大,生产的企业也特别多,其产品竞争非常激烈。而漂亮的外形是牙刷吸引客户的首要因素。这就决定了牙刷外形设计占有非常重要的地位。因此流畅的曲面设计,模型的快速修改。

Headwear design:Relationship between the headwear and the overall styling

This article examines the relationship between headwear design and overall clothing styling,emphasizing the importance of headwear in conveying personal style and cultural identity.It traces the evolution of Chinese and Western headwear throughout history,highlighting the interplay between headwear and the wearer's personal charac-teristics,life events,and cultural background.The article concludes by emphasizing that headwear design is not only a reflection of fashion,but also a manifestation of cultural depth and individuality.

基于Style 3D针织运动装虚拟设计与应用

基于Style 3D虚拟服装试衣软件,通过对虚拟试衣技术现状的分析,以针织运动装作为虚拟试衣对象,从四个部分进行展开,包含人体建模,版片的三维排布与缝合,运动装面料仿真与试穿效果展示,以及驳样改款与模块组合。借助于三维面料扫描技术获取面料材质纹理和相关辅料配件,进一步丰富针织运动装的装饰效果。3D快速驳样改款和虚拟展示能有效地优化设计过程,针织运动装模块组合模拟应用适应快时尚节奏下改款搭配的需求,根据现有版型快速驳样改款亦是对传统设计与展示模式的一种突破。

Investigation of Fracture Strength of Current Post Materials (Peek, Fiber, Cast Metal) in Different Ferrule Conditions

Aim: The fracture resistance of the post materials used nowadays significantly impacts the fracture type of the post material. The current study aimed to examine the impact of the fracture resistance of PEEK posts, whose use as a post material has not yet become widespread, on the fracture pattern that will occur. Materials and Methods: Sixty-six extracted upper central incisor human teeth were used in the study. Six groups of posts were produced from metal, fiber, and PEEK materials (n = 11). Afterward, the fracture resistance test was applied to the samples. Samples were classified according to fracture type as repairable or irreparable. The ANOVA and test were used in statistical analysis. Post-hoc tests were carried out using Tukey’s and Tamhane’s T2 tests. On the other hand, Pearson’s chi-square test and the Fisher-Freeman-Halton test were conducted for comparisons between categorical variables. The statistical significance level was accepted as p Results: According to the fracture resistance test results, the groups where metal personal posts were used displayed higher fracture resistance in comparison with all other groups. According to the results of the optical microscope examination, the incidence of repairable fractures was significantly higher in the PEEK post group with ferrule preparation (p 0.05). Conclusion: In the absence of the ferrule effect, fractures are catastrophic, regardless of the material used. The use of PEEK as a post material contributes to keeping fractures at a repairable level.

Natural Gas Power Plants in the System Security Role—The Situation and Solutions in Brazil

This study aims to apply a methodology to analyze the regulatory obstacles for the development of thermal power plants in a country. The study uses Brazil as an application case, although mostly of the findings can be useful to other countries. It also discusses other policies and actions by the government that may contribute to the growth of natural gas-fired power plants. Using deductive and comparative research methods, the first part of this method focuses on the stage of thermoelectric power generation in Brazil. The subsequent sections present the role of the integration of gas and electricity sectors, the main obstacles to the expansion of natural-gas power generation, how the country has deal with the expansion of natural-gas power generation, as well as how other obstacles has been faced. In raising the research question, when comparing the research results of selected countries, it should be noticed the impact that the experience and lessons elsewhere have had on policies formulation on Brazil. Our conclusions pointed out that adequate policies for the natural gas-electricity Brazilian market integration make advisable the unification of electricity and natural gas agencies. We recommended developing a mathematical model to support decision-making on natural gas and electricity integration.

Current Topics in Acute Abdomen: Causes, Diagnostics, and Emerging Therapies

Acute abdomen is a serious clinical condition that requires immediate attention due to its association with intense pain and rapid progression. This article reviews important aspects of the causes, diagnostics, and treatments of acute abdomen. The research highlights the diversity of etiologies, ranging from the most common, such as acute appendicitis, to the less frequent, such as intestinal perforations by foreign bodies. Complex diagnostic methods, including clinical examinations and imaging such as computed tomography, are essential to guide accurate diagnosis, given the overlap of symptoms among different conditions. Therapeutic approaches range from conservative treatments with clinical observation and antibiotic therapy to urgent surgical interventions, such as appendectomy and cholecystectomy. Laparoscopy stands out as a promising approach, offering advantages in terms of recovery and post-operative morbidity. However, the impact of the COVID-19 pandemic has brought additional challenges to the diagnosis and treatment of acute abdomen, with delays and difficulties in accessing healthcare. This review underscores the importance of a multidisciplinary approach and constant updates among healthcare professionals in addressing acute abdomen, aiming for accurate diagnoses and appropriate therapeutic interventions to improve clinical outcomes and reduce morbidity and mortality associated with this complex clinical condition.

What Are the Current and Developing Treatments for Cotard’s Syndrome, Alice in Wonderland Syndrome, and Catatonic Schizophrenia?

Purpose: Cotard’s syndrome, Alice in Wonderland Syndrome, and Catatonia are all rare psychiatric disorders that have relatively little research regarding their treatments. The aim of this article is to highlight any gaps in knowledge regarding represented demographics in these treatment studies, and to discuss the current and upcoming treatment options. Background: This literature review explores under-researched psychiatric conditions: Cotard’s syndrome, Alice in Wonderland syndrome, and Catatonic Schizophrenia. Understanding psychiatric disorders requires basic knowledge of brain anatomy. These conditions are often result of or associated with neurological issues, such as migraines or tumors. The brain has eight lobes, two of four kinds: frontal, parietal, occipital, and temporal lobes, which all govern different functions and abilities. Frontal lobes control judgment, decision-making, personality traits, and fine motor movements. Parietal lobes interpret pain and temperature, occipital lobes handle visual stimuli, and temporal lobes enable hearing. The pre-frontal cortex is associated with high intelligence, psychotic traits, and psychosis. The Broca’s Area in the frontal lobes controls expressive language. These areas and divisions of the brain contribute to the complexity of the psychiatric disorders discussed in this review. Introduction: Cotard’s syndrome is a psychiatric disorder characterized by delusions of being dead or not having certain limbs or organs. It is believed that there is a disconnect between their fusiform face area and the amygdala, causing a lack of familiarity between one’s mind and body. Alice in Wonderland Syndrome (AIWS) is another psychiatric disorder which is characterized by visual hallucinations, such as distorted perceptions of color, size, distance, and speed. The most common symptoms include micropsia and macropsia. Catatonia/Catatonic Schizophrenia is an uncommon type of schizophrenia. This type of schizophrenia is characterized by motor rigidity, verbal rigidity, the flat effect, psychomotor retardation, waxy flexibility, and overall negative symptoms. Thus, these people may come off as emotionally detached, and able to stay frozen in odd positions for periods on end. Treatments and Results: Cotard’s syndrome seemed to be most effectively treated by ECT (electroconvulsive therapy). Alice in Wonderland Syndrome (AIWS) had the highest positive responses to treatment by Valproate (an anti-epileptic drug), as well as intervention to treat the associated neurological conditions they had. Catatonia/Catatonic Schizophrenia seemed to be most effectively treated with a combination of benzodiazepines and ECT. Discussion and Demographics: In all 3 disorders, the Latino and African communities were underrepresented. There also seemed to be an underrepresentation of men in Cotard’s syndrome, and of women in Alice in Wonderland Syndrome. Japan and India seemed to have the highest density of treatment studies in all 3 disorders.

Tigris River Water Quality Quantifying Using the Iraq Water Quality Index (IraqWQI) and Some Statistical Techniques

Evaluation of water quality is important for the management of water resources. The current study is focused on the interpretation of the water quality monitoring data of the Tigris River in Iraq by the application of the principal component analysis (PCA), cluster analysis (CA), and water quality index (WQI). Twelve water quality parameters were taken from 14 stations along the river Ca2+, Mg2+, Na+, K+, Cl−, SO42−, HCO3−, NO3−, TH, TDS, BOD5, and EC to apply the PCA and CA. The results show that the mean of all the parameters was under the standards except Ca2+, EC, Mg2+, TH, and SO42−. The amount of EC is the critical factor that affects the river water quality. The PCA obtained one principal component responsible for 97% of the variation caused by different pollution sources. The CA divided the river into three regions of sampling stations with similar water quality, the best in the north, and the worst in the far south. In this paper, the computer-automated tool (IraqWQI) was presented and evaluated, which has been developed by authors to classify and measure the quality of Iraqi surface water. The proposed index is of hundred degrees and includes six variables for drinking water quality Cl−, TH, TDS, COD, DO, and total coliform (TC) according to the Iraqi specifications. The result of the IraqWQI application showed a decrease in the water quality of the river and its suitability for drinking in the south of the country. The best value of the index was (81.48, Good) in Fishkhabour during winter, and the worst value was (46.23, Bad) in Qurnah during summer. The result of this study proved the success and importance of using statistical techniques and WQI as useful tools for the management, control, and conservation of surface water. .

Correlation of personality with individual reproductive success in shrub-nesting birds depends on their life history style

Two questions in the research of animal personality—whether there is a correlation between a personality trait and individual reproductive success,and what is the genetic basis underlying a personality trait—remain unresolved.We addressed these two questions in three shrub-nesting birds,the Azure-winged Magpie(Cyanopica cyanus,AM),White-collared Blackbird(Turdus albocinctus,WB),and Brown-cheeked Laughingthrush(Trochalopteron henrici,BL).The personality type of an individual was first identified according to its response to a territorial intruder.Then,we compared the fleeing distance,breeding parameters,and differential expressed genes(DEGs) in the brain transcriptome between bold and shy breeders.In the three species,bold breeders exhibited more aggressiveness towards an intruder of their territory than did shy breeders.The reproductive success of bold breeders was significantly higher than that of shy breeders in AM but not in WB and BL.The three species shared one DEG,crabp1,which was up-regulated in bold relative to in shy individuals.By regulating the expression of corticotropin-releasing hormone,higher crabp1 gene expression can decrease cellular response to retinoic acid.Therefore,bold individuals are insensitive to external stresses and able to exhibit more aggressiveness to intruders than their shier counterparts.Aggressiveness is beneficial to bold individuals in AM but not in WB and BL because the former could evoke neighbors to make the same response of defending against intruders but the latter could not.Although a personality trait may have the same genetic basis across species,its correlation with reproductive success depends largely on the life history style of a species.

Genetic Analysis of Structural Styles in the Makran Accretionary Wedge–Insight from Physical Simulations

The Makran accretionary wedge has the smallest subduction angle among any accretionary prism in the world. The factors controlling the spacing and morphological development of its deep thrust faults, as well as the formation mechanism of shallow normal faults, remain unclear. Meanwhile, the factors affecting the continuity of plane faults must be comprehensively discussed. Clarifying the development characteristics and deformation mechanisms of the Makran accretionary wedge is crucial to effectively guide the exploration of gas hydrate deposits in the area. This study aims to interpret seismic data to identify typical structures in the Makran accretionary wedge, including deep imbricate thrust faults, shallow and small normal faults, wedge-shaped piggyback basins, mud diapirs with fuzzy and disorderly characteristics of reflection, décollements with a northward tilt of 1° – 2°, and large seamounts. Physical simulation-based experiments are performed to comprehensively analyze the results of the plane, section, and slices of the wedge. Results reveal that the distances between and shapes of thrust faults in the deep parts of the Makran accretionary wedge are controlled by the bottom décollement. The uplift of the thrust fault-related folds and the upwelling of the mud diapirs primarily contribute to the formation of small normal faults in the shallow part of the area. The mud diapirs originate from plastic material at the bottom, while those that have developed in the area near the trench are larger. Seamounts and mud diapirs break the continuity of fault plane distribution.

Robust Information Hiding Based on Neural Style Transfer with Artificial Intelligence

This paper proposes an artificial intelligence-based robust information hiding algorithm to address the issue of confidential information being susceptible to noise attacks during transmission.The algorithm we designed aims to mitigate the impact of various noise attacks on the integrity of secret information during transmission.The method we propose involves encoding secret images into stylized encrypted images and applies adversarial transfer to both the style and content features of the original and embedded data.This process effectively enhances the concealment and imperceptibility of confidential information,thereby improving the security of such information during transmission and reducing security risks.Furthermore,we have designed a specialized attack layer to simulate real-world attacks and common noise scenarios encountered in practical environments.Through adversarial training,the algorithm is strengthened to enhance its resilience against attacks and overall robustness,ensuring better protection against potential threats.Experimental results demonstrate that our proposed algorithm successfully enhances the concealment and unknowability of secret information while maintaining embedding capacity.Additionally,it ensures the quality and fidelity of the stego image.The method we propose not only improves the security and robustness of information hiding technology but also holds practical application value in protecting sensitive data and ensuring the invisibility of confidential information.

Pain management in chronic pancreatitis

Pain in chronic pancreatitis(CP)is difficult to manage.Many patients suffer from inadequate pain relief,completely incapacitating them in their daily activities.Historically,despite their well-known adverse effects,opioids have been the pillar of treatment regimens in painful CP.The management is now gradually evolving with a better understanding of the underlying pathophysiology of CP-related pain.Clinicians should follow a holistic approach to the management of CPassociated pain,which must involve lifestyle changes that are coupled with analgesic medications and other pain-relieving interventions.Furthermore,there is no easy cure for vanquishing CP-associated pain.Each patient must be evaluated on a case-by-case basis by a multidisciplinary team to decide which treatment option is best suited for that individual.

Impact of parenting styles on preschoolers’behaviors

In this editorial,I comment on the article“Association of preschool children behavior and emotional problems with the parenting behavior of both parents”which was published in the latest issue of“World Journal of Clinical Cases”that demonstrates the prevalence of behavioral disorders in preschool children.Therefore I am focused on parenting which is the most effective factor shown to affect the development and continuity of these behaviors.The management of child behavior problems is crucial.Children in early ages,especially preschoolers who are in the first 5 years of life,are influenced by dramatic changes in various aspects of development,such as social,emotional,and physical.Also,children experience many changes linked to different developmental tasks,such as discovering themselves,getting new friendships,and adapting to a new environment.In this period,parents have a critical role in supporting child development.If parents do not manage and overcome their child’s misbehavior,it could be transformed into psychosocial problems in adulthood.Parenting is the most powerful predictor in the social development of preschool children.Several studies have shown that to reduce the child’s emotional and behavioral problems,a warm relationship between parents and children is needed.In addition,recent studies have demonstrated significant relationships between family regulation factors and parenting,as well as with child behaviors.

A Harmonic Approach to Handwriting Style Synthesis Using Deep Learning

The challenging task of handwriting style synthesis requires capturing the individuality and diversity of human handwriting.The majority of currently available methods use either a generative adversarial network(GAN)or a recurrent neural network(RNN)to generate new handwriting styles.This is why these techniques frequently fall short of producing diverse and realistic text pictures,particularly for terms that are not commonly used.To resolve that,this research proposes a novel deep learning model that consists of a style encoder and a text generator to synthesize different handwriting styles.This network excels in generating conditional text by extracting style vectors from a series of style images.The model performs admirably on a range of handwriting synthesis tasks,including the production of text that is out-of-vocabulary.It works more effectively than previous approaches by displaying lower values on key Generative Adversarial Network evaluation metrics,such Geometric Score(GS)(3.21×10^(-5))and Fréchet Inception Distance(FID)(8.75),as well as text recognition metrics,like Character Error Rate(CER)and Word Error Rate(WER).A thorough component analysis revealed the steady improvement in image production quality,highlighting the importance of specific handwriting styles.Applicable fields include digital forensics,creative writing,and document security.

折纸艺术在现代数字服装中的设计应用

折纸艺术在现代数字服装设计中的应用展现了对传统艺术与数字化技术的融创新生。研究折纸艺术的设计美学内涵,利用Style3D数字化建模软件进行虚拟折纸拟态实践。从点折、线折、面折3方面进行数字折纸效果实验,通过分析成形方法,成功将折纸艺术的特殊造型美感融入虚拟服饰设计中。采用三维数字化模拟技术,实现了以折纸造型为主题的6套三维数字服装作品设计。利用数字化折纸造型方法可以创造出美观性和复杂性兼具的数字化服装。在展现折纸艺术独特风格魅力的同时,也为服装设计领域注入新的灵感和思路。

Rich-text document styling restoration via reinforcement learning

Richly formatted documents,such as financial disclosures,scientific articles,government regulations,widely exist on Web.However,since most of these documents are only for public reading,the styling information inside them is usually missing,making them improper or even burdensome to be displayed and edited in different formats and platforms.In this study we formulate the task of document styling restoration as an optimization problem,which aims to identify the styling settings on the document elements,e.g.,lines,table cells,text,so that rendering with the output styling settings results in a document,where each element inside it holds the(closely)exact position with the one in the original document.Considering that each styling setting is a decision,this problem can be transformed as a multi-step decision-making task over all the document elements,and then be solved by reinforcement learning.Specifically,Monte-Carlo Tree Search(MCTS)is leveraged to explore the different styling settings,and the policy function is learnt under the supervision of the delayed rewards.As a case study,we restore the styling information inside tables,where structural and functional data in the documents are usually presented.Experiment shows that,our best reinforcement method successfully restores the stylings in 87.65%of the tables,with 25.75%absolute improvement over the greedymethod.We also discuss the tradeoff between the inference time and restoration success rate,and argue that although the reinforcement methods cannot be used in real-time scenarios,it is suitable for the offline tasks with high-quality requirement.Finally,this model has been applied in a PDF parser to support cross-format display.

Analysis of the Role of Cognitive Behavioral Therapy on Self-Care in Thyroid Cancer Patients

Objective:To explore the effect of cognitive behavioral therapy on self-care in thyroid cancer patients.Methods:A total of 144 thyroid cancer patients treated at the Affiliated Hospital of Hebei University from January 2022 to August 2023 were selected as research subjects.Using the random number table method,they were divided into a control group and an experimental group,each consisting of 72 cases.The control group received routine nursing intervention,while the experimental group received cognitive behavioral therapy based on standard nursing practices.The self-care ability(self-concept,self-efficacy,self-care skills,health knowledge level),coping style(confrontation,avoidance,and surrender),and quality of life(psychological function,social function,material life,physical function)of both groups before and after the intervention were compared.Results:In comparison to the pre-intervention period,the experimental group exhibited significantly higher self-care ability,quality of life,and confrontation scores after the intervention,as opposed to the control group.Additionally,the avoidance and surrender scores were lower in the experimental group than in the control group,with these differences proving to be statistically significant(P<0.01).Conclusion:The application of cognitive behavioral therapy can enhance the self-care ability of thyroid cancer patients,aid in better disease coping,and improve their overall quality of life.This approach is deserving of further promotion.