Visual Analysis Method Research Articles

Molecular Dynamics Simulation of Self-Assembly Processes of Diphenylalanine Peptide Nanotubes and Determination of Their Chirality.

In this work, we further developed a new approach for modeling the processes of the self-assembly of complex molecular nanostructures using molecular dynamics methods; in particular, using a molecular dynamics manipulator. Previously, this approach was considered using the example of the self-assembly of a phenylalanine helical nanotube. Now, a new application of the algorithm has been developed for implementing a similar molecular dynamic self-assembly into helical structures of peptide nanotubes (PNTs) based on other peptide molecules-namely diphenylalanine (FF) molecules of different chirality L-FF and D-FF. In this work, helical nanotubes were assembled from linear sequences of FF molecules with these initially different chiralities. The chirality of the obtained nanotubes was calculated by various methods, including calculation by dipole moments. In addition, a statistical analysis of the results obtained was performed. A comparative analysis of the structures of nanotubes was also performed using the method of visual differential analysis. It was found that FF PNTs obtained by the MD self-assembly method form helical nanotubes of different chirality. The regimes that form nanotubes of right chirality D from initial L-FF dipeptides and nanotubes of left chirality L from D-FF dipeptides are revealed. This corresponds to the law of changing the sign of the chirality of molecular helical structures as the level of their hierarchical organization becomes more complicated.

Students effectiveness of abiding by the rules of board games

<p>本研究旨在探討以桌上遊戲作為媒介，融入國小ADHD學生社會技巧之課程介入後，是否能提升其遵守桌上遊戲規則。研究方法採單一個案研究法之跨受試者多探試設計，分為基線期、介入期及維持期三階段；研究對象為三位國小ADHD學生，自變項為社會技巧教學，依變項為遵守桌上遊戲規則之表現。利用目視分析及圖示法進行資料的分析。研究結果如下：一、社會技巧教學對提升國小ADHD學生遵守桌上遊戲規則具有立即成效。二、社會技巧教學對國小ADHD學生遵守桌上遊戲規則具有維持成效。根據以上結果，提出幾點建議，供實務教學及未來研究之參考。</p> <p> </p><p>The purpose of this study was to explore whether the use of tabletop games as a medium can improve the social skills of elementary school ADHD students after the intervention of the curriculum of social skills. The research method adopted a multiple baseline design across subjects with a single case study method. Participants were 3 elementary students with attention deficit hyperactivity disorder (ADHD). The data were analyzed by visual analysis and graphical method. The results of the study were as follows: 1. board games could instantly improve the social skills of elementary school ADHD students’ performance in complying with the rules of the game. 2. board games were effective in maintaining the social skills of elementary school ADHD students in complying with the rules of the game. Based on the above results, some suggestions were put forward for reference in practical teaching and future research.</p> <p> </p>

The Research on the Representation of LGBTQ in Eastern and Western Films

In recent years, increased public awareness and understanding of the LGBTQ community have led some film and television productions to venture into LGBTQ themes. However, there is still some under-representation in these films. These films often come from the independent sector of film, and there is a lack of such films in the major Hollywood studios. Stereotypes about this group still exist despite the lack of diversity and representation of this group in media. Through visual analysis, discourse analysis and other analysis methods, the author examines the representation of LGBTQ people in both Eastern and Western films and uses these three films: Farewell My Concubine, Portrait of a Lady on Fire, and Call Me By Your Name as examples. Through this study, the author found that the expressions of this group in Eastern and Western films and TV series differed greatly, with the expressions in Eastern countries being more subtle and the expressions in Western countries being more intuitive and diverse. This code was relaxed in the 1960s-1970s, which also signalled the dawn of the feminist and homosexual movements.

Diet of snapper (Chrysophrys auratus) in green‐lipped mussel farms and adjacent soft‐sediment habitats

AbstractWild fish utilise aquaculture habitats for shelter and/or food resources. It is often assumed that fish respond to feed input, the abundance of the farmed species or the associated assemblage of biofouling which naturally colonises the structural habitats. However, few studies have directly analysed the composition of the diet of fish within aquaculture habitats, and of these most have focused on fed finfish aquaculture. Snapper are commonly present as adults within coastal mussel farms and tend to become a resident species of these farms. Therefore, they are a suitable case study species for exploring differences in diet between natural and aquaculture habitats. This study investigated the gut contents of snapper in soft‐sediment habitats within and outside of New Zealand green‐lipped mussel farms. Visual gut analysis and DNA metabarcoding methods were used to provide complementary analyses on the composition of gut contents between the mussel farm and natural (i.e., control) sites. Snapper within mussel farms were consistently found to have consumed different prey groups compared to the control snapper. Prey groups identified from mussel farm snapper gut contents could be directly linked to species commonly present in the farms, that is cultured green‐lipped mussels, blue mussels and barnacle biofouling. There was good alignment between the visual gut and genetic analyses for the key species identified. Overall, the results show that the highly abundant prey groups consumed by snapper in mussel farm habitats are likely to be beneficial to the snapper population, reducing foraging effort and potentially supplying more nutritious prey. These findings provide evidence towards the supporting services of mussel farm habitats through the provision of food resources.

Map-in-Parallel-Coordinates Plot (MPCP): Field Trial Studies of High-Dimensional Geographical Data Analysis

As the world has become increasingly digitalized in recent years, high-dimensional data with geographical location coordinate attributes, mainly referring to latitude and longitude, have been accumulated and spread to many disciplines. It is challenging to analyze such data. The map-in-parallel-coordinates plot (MPCP) is an incorporate visual analysis method that can express, filter, and highlight high-dimensional geographical data to facilitate data exploration and comprehension. In this paper, the MPCP underwent a series of field trial studies to verify its applicability, adaptability, and high efficacy in the real-world. The results of the evaluation were positive, which provides reasonable proof and new insights into the benefits of using MPCP to visually analyze high-dimensional geographical datasets.

ADAPTATION OF THE PRIMARY LAND MARKET MANAGEMENT SYSTEM TO THE CONDITIONS OF DIGITAL TRANSFORMATION (ON THE EXAMPLE OF THE PENZA REGION)

The purpose of the article is to analyze the process of adaptation of the primary land market management system to the conditions of digital transformation. The article presents the characteristics of electronic systems for the promotion and sale of land plots in the primary land market in the Penza region: sale of ownership and lease rights at auction and without bidding, free provision, privatization and formation of investment sites. Methods of comparative visual analysis and SWOT analysis were used. The conducted SWOT analysis showed that at the present stage of digital transformation, the management system of the primary land market in the Penza region has both strengths and weaknesses, which allows optimizing the vector of development of the digitalization of the land market. The results of the study will be useful for familiarization with territorial administration bodies, as well as the scientific community to identify trends in the digitalization of the land market.

Modeling and analytics of multi-factor disease evolutionary process by fusing petri nets and machine learning methods

Recent years, informatization methods have been gradually applied to medical treatment, in which machine learning and evolutionary computation play an important role. However, the effective methods for the study of multi-factor disease evolutionary process are still largely open. There are some issues in the field of disease analysis, such as the lack of visual multi-factor disease evolution model and effective analysis methods. For a universal method of data analysis and medical diagnosis, the machine learning algorithms should be combined with the formal modeling methods to fully realize the complementary advantages, make model has the advantages of visualization and efficient data analysis. This work proposes a novel research idea for the modeling analysis of current multi-factor diseases and reveal its feasibility, so as to explore potential pharmaceutical targets and enable doctors and patients to better understand the evolution process of multi-factor diseases. It is worth mentioning that, in order to verify the feasibility of the proposed idea, we applied it to the analysis of the role of monoamine hormones in depression. The model incorporates the machine learning algorithms, and it finally outputs the pathogenic probability under different hormone levels, reflecting the importance of different factors on depression. The application case proved that we provide a clear process model and a novel research method for multi-factor disease evolutionary process analysis.

A Visual Analysis Method for Predicting Material Properties Based on Uncertainty

The traditional way of studying fluorinated materials by adjusting parameters throughout multiple trials can no longer meet the needs of the processing and analysis of multi-source, heterogeneous, and numerous complex data. Due to the high confidentiality of fluorinated materials’ data, it is not convenient for the plant to trust the data to third party professionals for processing and analysis. Therefore, this paper introduces a visual analysis method for material performance prediction supporting model selection, MP2-method, which helps with researchers’ independent selection and comparison of different levels of prediction models for different datasets and uses visual analysis to achieve performance prediction of fluorinated materials by adjusting control parameters. In addition, according to the Latin hypercube Markov chain (LHS-MC) model of uncertainty for visual analysis proposed in this paper, the uncertainty of the control-parameter data is reduced, and their prediction accuracy is improved. Finally, the usefulness and reliability of MP2-method are demonstrated through case studies and interviews with domain experts.

High-dimensional spatiotemporal visual analysis of the air quality in China

Air quality is a significant environmental issue among the Chinese people and even the global population, and it affects both human health and the Earth’s long-term sustainability. In this study, we proposed a multiperspective, high-dimensional spatiotemporal data visualization and interactive analysis method, and we studied and analyzed the relationship between the air quality and several influencing factors, including meteorology, population, and economics. Six visualization methods were integrated in this study, each specifically designed and improved for visualization analysis purposes. To reveal the spatiotemporal distribution and potential impact of the air quality, we designed a comprehensive coupled visual interactive analysis approach visually express both high-dimensional and spatiotemporal attributes, reveal the overall situation and explain the relationship between attributes. We clarified the current spatiotemporal distribution, development trends, and influencing factors of the air quality in China through interactive visual analysis of a 25-dimensional dataset involving 31 Chinese provinces. We also verified the correctness and effectiveness of relevant policies and demonstrated the advantages of our method.

Visual and Creative Design Strategy for Promotion of Tourism and Culture in West Bandung Regency

West Bandung Regency is the most extensive part of the Greater Bandung area and has a diverse tourism sector and natural resources. In developing the tourism sector in an area, it is necessary to have the support of the government and the surrounding community to participate in promoting regional tourism and culture. West Bandung Regency itself has a program called "Breathtaking West Bandung". The Breathtaking West Bandung Program is a campaign that aims to develop and promote tourism potential in the West Bandung Regency area. This program is run by the Tourism and Culture Office of West Bandung Regency. There is a big potential workforce to support the tourism program in the city of Bandung. The purpose of this research is to find out the right visual design strategies and creative strategies to promote tourism and culture in West Bandung Regency. Through the method of visual analysis of various promotional design artefacts that have been issued by the agency, explained descriptively, and supported by existing design theories. The results are expected to be a reference in designing tourism and cultural promotion of West Bandung Regency. The design of visual media that has been made is expected to help to attract the interest of the target audience to visit West Bandung Regency. With the right design strategy, it can make it easier for designers and related parties to develop tourism area promotion concepts.

PLATFORM VISIONS AND INVASIONS: SPATIAL (RE)IMAGINATIONS IN BIG TECH DISCOURSE

This panel analyzes the textual and audiovisual discourses in which big tech companies envision social spaces and their platforms’ roles in relation to those spaces. The panel asks: What are the visions of human life and technology that big tech companies narrate in relation to public and social spaces? And how do these tech-generated visions compare to current insights in and critiques of how these companies intervene in and disrupt social spaces? Situated within the field of critical platform studies, the panel’s premise is that the discourses produced by tech companies form an integral part of these companies’ interventions in people’s relations with themselves, others, and their environments. In order to develop a critical understanding of the platform society, it is crucial to examine those discourses through which tech companies present themselves almost as state-like powers that can be trusted with “public” services. Employing methods of textual and visual analysis, this panel offers such perspective. In its analysis of big tech’s spatial visions, the panel moves between different scales of spaces (domestic, educational, urban, extraterrestrial). In relation to these spaces, the panel articulates a discrepancy between the visions of life produced by tech companies and big tech’s invasive, perhaps even extractivist and colonial logic.

A Study on the Correlation between Ship Movement Characteristics and Ice Conditions in Polar Waters

The opening of arctic routes provides a new option for international navigation ships. The correlation between ship movement characteristics and ice conditions should be known, which will help ships adapt to the polar waters. Based on the voyage data and sea ice manual observation data of the ‘XUE LONG’ ship’s six voyages in polar waters, a correlation analysis model of ice conditions and ship movement characteristics was established in this work. First, the ship movement characteristics in polar waters were analyzed, such as the distribution characteristics of ship speeds, courses, and variation characteristics by using the descriptive statistical analysis method and data visualization analysis method. Then, by using multivariate correlation analysis and univariate controlled correlation analysis methods, the correlation between movement characteristics and ice conditions, such as ice concentration and thickness, and the correlation between different ice conditions themselves, were quantitatively analyzed. The result shows that the correlation analysis model of ice conditions and ship movement characteristics is reliable and effective and can obtain quantitative correlation analysis results. On the one hand, sea ice thickness has almost no significant correlation with ship movement characteristics, excluding the influence of sea ice concentration. On the other hand, excluding the influence of sea ice thickness, sea ice concentration is still significantly correlated with the absolute value of speed, speed variation, and course variation. The conclusions of this work have important reference significance for polar scientific investigations, commercial ships’ voyages in icy waters, and ships’ designs for icy waters.

Алгоритмизация задачи видеоскопического контроля состояния стальных канатов

The paper considers the problem of monitoring the technical state of steel ropes used in industrial and civil installations, such as elevators, cable cars, lifts, etc. To date, the assessment of the state of steel ropes and the safety of their operation is carried out mainly through visual-instrumental control, which is long in time and subject to the influence of the human factor, which determines the relevance of the task of automating this process using computer technology and artificial intelligence methods in order to improve the quality of the assessment, reducing the check interval, detecting defects in steel ropes at an early stage. The article proposes two approaches to the algorithmizing of the problem of videoscopic control of the state of steel ropes using computer vision technologies, based on software modeling of the logic of visual analysis and machine learning methods, such as deep learning artificial neural networks. The authors have developed algorithms for automatic detection of the main types of defects in images of the surface of steel ropes: increase/decrease in diameter, deformation in the form of rope, breaks in the outer wires, thermal and electric damage. The paper presents the results of preliminary testing of the developed algorithms and programs, the composition and methods for determining the main indicators for evaluating their effectiveness are proposed.

Activists' visibility acts of citizenship and media (mis)representation of BLM

ABSTRACT This paper takes a novel approach to studying the wave of Black Lives Matter protests that emerged in the summer of 2020. Drawing on multimodal qualitative visual analysis methods, we study acts of deliberate altering and erasure of statues that represent heroes of colonialism in Greenland and Denmark. The paper conceptualises these actions as ‘visibility acts of citizenship’ in which racialised minorities claim their symbolic space in the public sphere and criticise racialized and gendered structures of oppression. We then provide a detailed visual and textual analysis of conservative Danish media representations of the protest. This allows us to show how the media (mis)represented protesters’ actions, and its response to accusations of racism and calls for change. Thus, we extend the literature on visual analysis of protest by including not only activists’ visual acts but also the visual responses of mainstream conservative media to the movement.

Supply-demand balance and spatial distribution optimization of primary care facilities in highland cities from a resilience perspective: A study of Lhasa, China.

The development of urban resilience, which is fundamentally a balance between the supply capacity of primary care resources and the demand from urban residents, includes an appropriate architecture of primary care facilities. Resilient city construction in highland areas is hampered by the physical environment and transportation constraints and frequently encounters issues like poor accessibility and unequal distribution of primary care facilities. To optimize the supply and demand of primary care resources in highland cities and effectively improve the resilience of urban public health, this paper assesses the distribution of primary care facilities within the built-up area of Lhasa (China) through a spatial network analysis method based on GIS, combined with population distribution data, and employs a location-allocation model to optimize the distribution. Firstly, the overall supply of primary care exceeds the overall demand, but the facilities' service area can only accommodate 59% of the residences. Secondly, there is a clear spatial variation in the accessibility of primary care facilities, and the time cost of healthcare is too high in some residences. Thirdly, the supply-demand relationship of primary care facilities is unbalanced, with both over-saturated and over-deficient areas. After distribution optimization, the coverage and accessibility of primary care facilities have increased significantly, and the spatial imbalance of supply and demand has been alleviated. This paper proposes a research method to evaluate and optimize the spatial distribution of primary care facilities from multiple perspectives based on the resilience theory. The results of the study and visualization analysis methods can be used as an invaluable reference for planning the distribution of urban healthcare facilities and urban resilience construction in highland areas and other underdeveloped areas.

Hybrid Multi-Vector Modulated Model Predictive Control Strategy for Voltage Source Inverters Based on a New Visualization Analysis Method

Conventional model predictive control (MPC) strategy for voltage source inverters has large current ripple since only one voltage vector is applied in each control cycle. Although the multi-vector modulated MPC strategy can reduce the current ripple, its lack of theoretical basis makes its optimality questionable. To solve this problem, a new visualization analysis method is proposed in this article to evaluate the effectiveness of the conventional multi-vector modulated MPC strategy, based on which a new hybrid multi-vector modulated MPC strategy is further presented to improve the current control performance. First, the principle of the proposed visualization analysis method is introduced, based on which it is verified that the conventional multi-vector modulated MPC has better control performance than the single-vector MPC. Second, based on the proposed visualization analysis method, it is also found that both the conventional double-vector and triple-vector modulated MPC strategies cannot achieve optimal control. Thus, a new hybrid multi-vector modulated MPC strategy is further proposed. By selecting an optimal voltage vector from 18 alternative voltage vector combinations, the current control performance is improved. Detailed comparative experimental results based on experimental platform and StarSim hardware-in-the-loop platform validate the effectiveness of the proposed hybrid multi-vector modulated MPC strategy.

Mapping Knowledge Domain to Analyze the Building Information Modeling on Building Energy Saving Based on Visualized Analysis Method

Building information modeling (BIM), as a novel knowledge field of modern engineering management, is bringing different degrees of changes to the construction industry from engineering practice to management concept. In order to analyze the research status of BIM in the field of energy-saving transformation, find its research hotspots, and reveal its future development trend to guide the practice and application of building information model better, the mapping knowledge domain is constructed via the literature visualization analysis method based on the theory of cocitation analysis and the pathfinder algorithm This is to analyze the hot spots and reveal the frontier of building information modeling on building energy saving. This article lists journal articles and review articles included in the web of science database between 2012 and 2022, using the literature visualization analysis software Citespace to establish the knowledge graph of the collected literature, the scholars’ collaboration analysis, the research institutions’ collaboration analysis, the national collaboration analysis, the keyword co-occurrence analysis, the keyword cluster analysis, the time zone analysis, the keywords timeline analysis, and the literature cocitation analysis have been carried out and discussed. According to the analysis results, the research hotspots and future development trends are interpreted and discussed.

A visual denaturation bubble-mediated strand exchange amplification and RGB visual analysis-based assay for quantitative detection of Helicobacter pylori in saliva.

Helicobacter pylori (H. pylori) is a class I carcinogen causing gastric cancer. Almost 50% of people on earth have been infected and it is worse in developing countries. Early diagnosis of H. pylori infection is the most important strategy for preventing the spread and worse consequences. H. pylori can be isolated from human saliva, and the sampling of saliva is easy and convenient. Therefore, we developed a visual denaturation bubble-mediated strand exchange amplification and RGB visual analysis-based assay for quantitative detection of H. pylori in saliva in this study. Under the optimized reaction temperature and time, the SEA reaction could be finished in 30min with a simple reaction system and low dependency on equipment. The detection results could be qualitatively identified by the naked eye and quantitatively analyzed by a developed RGB visual analysis method. The limit of detection (LOD) of RGB visual analysis was 10.8CFU/mL. This assay had good specificity and anti-interference capacity. In the artificial contamination test, the recovery rate of our assay was between 99.3% and 111.5%, with RSD values ranging from 1.7% to 3.5%. These indicated our assay also had good reliability in the detection of saliva. We believe this assay showed good potential for better non-invasive diagnosis of H. pylori infection.

Analysis and forecasting of crime in Russia as a tool of effective public administration in the social sphere

The purpose of the study is to identify the main trends and patterns of crime development in Russia in order to develop effective public administration measures aimed at improving the criminogenic situation. The object of the study is crime in the Russian Federation by categories of crimes. The subject of the study is statistical data characterizing the state and dynamics of crime in Russia. The study was conducted using statistical methods such as the method of relative values, index analysis, time series analysis and forecasting methods, in particular, adaptive methods, correlation and variance analysis methods, as well as methods of visual data analysis. As a result of the study, an assessment of the state, structure and structural shifts in the distribution of crimes by crime categories over the past 10 years has been made, the influence of a regional factor on the variation in crime rates has been revealed, and the correlation between crime levels by crime categories and socio-economic factors such as unemployment, retail sale of alcoholic beverages per capita has been assessed, the coefficient of migration growth, the Gini coefficient, the coefficient of differentiation by income of the population. Based on the study of the behavior of time series levels of the number of registered crimes by crime categories, modeling and forecasting of indicators using adaptive methods until the end of 2023 were performed.

Chung Chen Sun: The Reform Process of Modern Ink Painting

This article reviews Chung Chen Sun's artistic creation process from the 1960s to the present. As the second generation of Nanyang painter, he not only inherited the tradition of the first generation but also made innovations on this basis, integrating Western aesthetics and creating the artistic conception of ink and wash in his style. At the same time, he has also established 5 art academies in Malaysia and China. His art education philosophy has a certain influence and contribution to modern art design education in Malaysia and China. He is known as the "father of modern art education in Malaysia". The research methods used in this article are the literature re method and the visual analysis method. Through the collection of literature, the information about Chung Chen Sun is sorted, his creative style is divided into four major periods, and representative works are selected for visual analysis. Finally, Chung Chen Sun's transformation process of modern ink painting and its artistic characteristics are summarized.