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According to the standard formulation, natural selection requires variation, differential fitness, and heritability. I argue that this formulation is inadequate because it fails to distinguish natural selection from artificial selection, intelligent design, forward-looking orthogenetic selection, and adaptation via the selection of nonrandom variation. I suggest adding a no teleology condition. The no teleology condition says that the evolutionary process is not guided toward an endpoint represented in the mind of an agent, variation is produced randomly with respect to adaptation, and selection pressures are not forward looking. [ABSTRACT FROM AUTHOR]

Automotive panel die design is a significant issue in vehicle development, playing a key role in refining quality and efficiency in the entire vehicle evolution process. It also contributes to reducing production costs and meeting the demands of the fashionable and dynamic vehicle market. This article delves into the intricacies of panel die design, focusing on essential issues such as complex three-dimensional (3D) curve and surface processing. A solution for intelligent die design based on geometry and knowledge-driven approaches is proposed. By thoroughly exploring the forming process of panel parts and incorporating die design expertise, a structured design knowledge base is established, which consolidates extensive experience and professional technology in this field. A curve offset algorithm based on progressive iteration is advocated. By adopting a dynamic error sampling algorithm that considers offset distance, the accuracy of the offset curve is ensured. In addition, the method of adjusting the offset direction is adopted to avoid the problem of overlapping offset curves and prevent distortion. Subsequently, a smooth surface is created based on the trimming curve and its offset curve to obtain a parameterized modeling of key non-standard components such as trimming tools. Furthermore, a solution strategy is proposed to handle these dynamic changes and constraints associated with parameter values, ranges, and accuracy requirements of standard components by developing a standard component computer-aided design (CAD) library, which can be seamlessly integrated into various CAD platforms through cloud-based deployment. By integrating die design knowledge, computer-aided geometric design (CAGD) theory, intelligent algorithms, and standard component libraries, a geometric and knowledge-based intelligent design system for automotive panel dies was successfully opened up. After example verification, the efficiency and quality of die design can be upgraded to a large extent. [ABSTRACT FROM AUTHOR]

Abstract In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is high. However, railway bridge design relies heavily on professional knowledge and experience and is typically completed manually by senior designers, thereby requiring considerable time. An intelligent beam type recommendation algorithm named AutoDis Graph Ontology Attention Matching (AGOAM) is proposed to rapidly generate bridge design plans for railway route main control points. This method acquires the node embeddings of the main control point and beam type attribute graphs through graph neural networks (GNNs) and predicts the score of each beam type through graph matching technology. The beam type with the highest prediction score is recommended. In addition, the accuracy of the recommendation results is improved through ontology-enhanced attribute interaction and attention mechanism-based graph pooling. The efficiency of the proposed method is demonstrated with a real-world railway bridge design dataset, and ablation study is conducted to evaluate the effectiveness of the ontology-enhanced attribute interaction and attention mechanism-based graph pooling.

In a time where approximately one-third of the world’s population identify as Christian, while the percentage of individuals rejecting the idea of a divine being remains relatively low, it is striking that proponents of the latter category attempt to silence research and findings from the former group. A recent example of this is the reaction to four articles published in 2023 in the Tydskrif vir Geesteswetenskappe (Journal of Humanities). These articles discuss recent scientific research, indicating highly intelligent and precise design in both macrocosm and microcosm, leading researchers to logically conclude that there must be a designer who cannot be a part of the cosmos itself. This conclusion causes significant discomfort among atheistically inclined thinkers, as evidenced by the fierce response to these articles. It appears that there is even pressure on academic journals to employ censorship and refrain from publishing such research. This article is a reaction to such criticism. Spangenberg (2023) takes issue with the assumption of the researchers of the four articles that humans are rational beings, by emphasising the irrationality of certain human behaviour. He has a significant problem with the researchers’ suggestion that the order found in nature and humans’ rational thinking abilities cannot be seen as coincidental but are ordained by God. He also attempts to create a contradiction between a merciful God and a God who punishes sin. But all these arguments can be dismissed based on basic logic. Spangenberg accuses the authors of misinformation when discussing Genesis. Referring to Genesis 1:26, he asserts that when God says, “let us make man,” it implies multiple gods. Spangenberg’s idea of polytheism in Genesis is further emphasised by his reference to the garden in Genesis 2 as the garden of gods, because it was located in the east. According to him, that would have referred to the place where heaven and earth meet, allowing gods residing in heaven to enter the earth. This conclusion based on the garden’s eastern location resembles a slippery slope form of reasoning. Even when considering only the Pentateuch, the introduction of the so-called assembly of gods and garden of gods in Genesis 1 and 2 by Spangenberg cannot be considered a plausible interpretation. The focus in the Pentateuch, as in the rest of the Bible, is on the fact that God must be known and acknowledged as the only God, contrary to the pagan nations’ concept of multiple gods. Spangenberg based his ideas on the documentary hypothesis – a theory that claims that the first five books of the Bible emerged over a long period of time and that they are a compilation of various and contradictory documents. He uses this to discredit the research in the four articles, despite the fact that even supporters of the documentary hypothesis admit to problems in this hypothesis. Contemporary research suggests that it is crucial to consider the truth claims of the Pentateuch itself and move away from hypothetical source documents. Arguments by people such as Spangenberg, that authors who do not accept this document hypothesis or give reference to it should be censured, cannot bear any weight. In fact, recent research returns to the idea that the Pentateuch is a single work, written according to a plan and largely composed by one author. By accepting its unity and inspiration, as millions of Christians do, valuable insights can be gained, for instance by considering why specific names for God are used in particular contexts. Conversely, viewing it as merely different sources does not yield fruitful research. In a further attempt to discredit the four scientific articles in the TGW, Spangenberg points to the negative way in which the church had supposedly dealt with Galileo Galilei’s heliocentric research some centuries ago. Contrary to Spangenberg’s assertion, the reality is that Galileo’s affair did not start as a conflict between science and the church. The church had initially encouraged Galileo to continue his work. It was particularly natural scientists who, partly justifiable and partly not, raised issues concerning the results of his research. As evidenced by the authors of the four articles mentioned above, it was especially Christian thinkers who had developed scientific knowledge throughout many centuries; moreover, they had established and funded several universities where research could be done. Upon examining the four articles opposed by Spangenberg and others, it becomes clear how crucial it is that science and its results should not be suppressed. The articles discuss research in natural sciences and cosmology that delves into the cause and fine-tuning of the universe, as well as the precision of cosmic constants that make life possible. Additionally, they explore the origins of encoded information within DNA, and its role in life itself. It is unacceptable to reject experimental observations and derived theories based on a negative view of Christian beliefs beforehand. Scientific inquiry necessitates an unbiased and openminded approach, demonstrating the courage to interpret data honestly, in order to reach the most probable conclusion. [ABSTRACT FROM AUTHOR]

In order to apply the experience of previous tunnel cases to the design of new tunnels to solve the problem of heavy workload and low efficiency of traditional design methods, an intelligent design method of tunnel portals based on case-based reasoning is proposed. Combined with the characteristics of tunnel portal engineering, the main factors affecting tunnel portal design are selected, and the influencing factors are divided into 12 attribute units to represent the project cases. The weight of each attribute unit is assigned by using the hierarchical weighting calculation method of triangular fuzzy number, and the similarity decision-making model of tunnel portal design scheme is established by using the similarity theory. Based on GIS technology, the tunnel portal project case base is developed to realize the storage and management of existing projects. At the same time, the SQL query language and Python calculation script are used to realize the calculation of case attribute eigenvalue and the most similar matching. After further modification, the design decision of tunnel portal construction scheme can be realized. A mountain tunnel is taken as an example to verify the intelligent design method, the results show that: according to the calculation results of attribute unit eigenvalue, the existing project with the highest similarity to the proposed tunnel is Feng Huang Mountain Tunnel, and the similarity is 0.707. Therefore, when the threshold value is set to 0.7, the retrieval rate and matching accuracy of the case base can be accelerated. This method draws on the experiences of existing engineering cases and can be applied to the decision-making design of tunnel portal construction schemes and used as a reference for the intelligent design of tunnel portal schemes in the future. [ABSTRACT FROM AUTHOR]

This paper aims to automatize the performance-based design of fire engineering and the fire risk assessment of buildings with large open spaces and complex shapes. We first establish a database of high-quality fire simulations for diverse building shapes with heights up to 60 m and complex atriums with volumes up to 22   400 m³. Then, artificial intelligence (AI) models are trained to predict the soot visibility slices for new fire cases in buildings of different atrium shapes, symmetricities, and volumes. Two deep learning models were demonstrated: the pix2pix generative adversarial network (GAN) and image-prompt diffusion model. Compared with high-fidelity computational fluid dynamics fire modeling, the available safe egress time predicted by both models shows a high accuracy of 92% for random atrium shapes that are not distinct from the training cases, proving their performance in actual design practices. The diffusion model reproduces more flow details of the smoke visibility profiles than GAN, but it takes a longer computational time to render the fire scene. This work demonstrates the potential of leveraging AI technologies in building fire safety design, offering significant cost and time reductions and optimal solution identification. [ABSTRACT FROM AUTHOR]

The current demand for aircraft panel assembly fixtures necessitates agile manufacturing solutions. Traditional welding fixtures struggle to meet diverse panel types, high quantities, and short manufacturing cycles. Conversely, reconfigurable flexible assembly fixtures offer universality, efficiency and ease of maintenance but heavily rely on designers' experience, hindering knowledge reuse. Existing research on computer-aided fixture design (CAFD) primarily addresses specialized fixtures, neglecting reconfigurable flexible ones, lacking fixture design knowledge systems. Aiming at the above problems, the study proposes an intelligent design method for the reconfigurable flexible assembly fixture for aircraft panels based on the smart composite jig model (SCJM) and knowledge graph (KG). Firstly, based on the SCJM of the aircraft panel type assembly fixture (PSCJM), a configuration design method is proposed to carry out the multi-level design of reconfigurable assembly fixture to instantiate PSCJM containing fixture configuration rules and a module library based on model definition (MBD). Then, a knowledge retrieval method is proposed to search the suitable fixture design knowledge based on KG, assisting designers in achieving the flexible design of aircraft panel reconfigurable assembly fixtures. Finally, practical engineering design validation confirms the method's feasibility and effectiveness in obtaining the reconfigurable flexible assembly fixture design scheme for aircraft panels. [ABSTRACT FROM AUTHOR]

With the rapid development of fashion industry, the requirements for the design and manufacture of clothing fabrics are getting higher and higher. The traditional fabric design method has the problems of long time consumption, high cost and difficult evaluation, so it is necessary to introduce new technologies to improve the fabric design process. Based on optical imaging technology and big data intelligence, this study aims to develop a new method to realize 3D digital design of clothing fabrics, so as to improve design efficiency and quality. In this paper, optical imaging technology is used to scan and measure different types of fabrics with high precision, and the texture and color information of fabrics are obtained. Then the obtained data are processed and analyzed, and combined with big data technology, a three-dimensional digital model of fabric is established. Finally, computer-aided design software is used for simulation and adjustment to further improve the design effect of fabrics. The experimental results show that this method can effectively transform the physical characteristics of fabrics into digital models and realize the personalized design of fabrics. This method can also significantly improve the design efficiency and quality, making the fabric design process faster and more accurate. [ABSTRACT FROM AUTHOR]

The research is devoted to the study of the phenomenon of spiritual culture of Modern times - creationism. Authors analyze the causes of creationist teachings, as well as develop a classification of forms of creationism. As such, the following are distinguished and analyzed: biblical creationism, scientific creationism, theological evolutionism, teleological creationism, alterism, missionary creationism. Biblical creationism is a literal understanding of the texts of the Bible relating to the creation of the Earth and man. Scientific creationism is an attempt by individual scientists to combine scientific knowledge with religious beliefs. It gathers scientific evidence in favor of the biblical narrative, and, at the same time, rational arguments against the scientific theory of evolution. On the contrary, theological evolutionism, especially in the form of concordism, tries to reconcile the scientific and religious view of evolution. This is achieved through the interpretation of Biblical symbols through modern scientific concepts, or by the creation of a new pseudo-religion (for example, Teilhardism). Teleological creationism, in the modern form of Intelligent Design theory, popular in Western Protestantism, using the data of natural sciences, criticizes the foundations of the theory of biological evolution, thus demonstrating the gap of natural causality in order to justify the supernatural purposefulness of the Universe. Alterism asserts that the very nature of the world before original sin was different, therefore, the current knowledge of nature cannot correspond to the original plan of God reflected in the Bible. For the first time, highlighted and explored in this work, missionary creationism seeks to interpret the Bible from the point of view of concepts of modern science in order to bring a person with an already formed scientific picture of the world to faith. It is shown that most of the above forms demonstrate a pseudoscientific or pseudo-religious essence. The authors make an assumption about the origins of creationist teachings rooted in the introduction of elements of Neoplatonic philosophy into Christian teaching. The seeming contradiction between science and religion in understanding the evolution of nature finds its explanation through the disclosure of creationism's claim to understand the world as a "thing in itself".

In recent years, with the rapid development of computer technology and artificial intelligence design technology, multiple possible design solutions can be quickly generated by transforming the experience and knowledge of structural design into computer executable rules and algorithms. To achieve intelligent design of aircraft engines, this paper proposes an encoding model for the turbine rotor structure of aircraft engines using geometric encoding technology. The turbine rotor structure of aircraft engines is divided into several units according to geometric similarity types, these units continue to be divided into attribute sets according to their functional types, connection relationships, and material properties. These attribute sets can be encoded using geometric encoding technology. The experiment simulated that these codes, for the point cloud modeling of turbine rotor structure, can be quickly achieved and they combine various algorithms to display the point cloud model of the turbine rotor in the Microsoft Visual studio MFC class library. The results show that by creating geometric codes for the turbine rotor of aircraft engines, it is possible to quickly create and display point cloud models of the turbine rotor structure, laying the foundation for subsequent application of machine learning to solve and find the optimal design solution. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Nanchang University (Engineering & Technology) is the property of Nanchang University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Architectural Journal / Jian Zhu Xue Bao is the property of Architectural Journal Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the support of advanced information and communication technologies and open innovative design platforms, the emerging and blooming paradigm of mass personalization drives the process of engineering design to include knowledge with higher heterogeneity and more complex modalities. To this end, Multi-Modal Knowledge Graphs (MMKG), evolved from semantic networks and knowledge graphs, provide a powerful technology system for more effectively organizing and utilizing this knowledge. To understand the state-of-the-art of key aspects that enables MMKG, and recognize the potential challenges for forefront applications in engineering design, a literature review of MMKG-related publications is conducted. With selected 131 representative papers together with other 32 supplementary studies (up to 11/11/2023), this article summarizes the technical and practical efforts of multi-modal knowledge extraction, fusion technology, and specific applications in the engineering design process. Meantime, the challenges that MMKG faces and its foreseeable development potentials are discussed, which is hoped to provide a basis for the futuristic explorations and implementations of MMKG-enhanced availability and productivity in engineering design. [ABSTRACT FROM AUTHOR]

Copyright of Dergiabant is the property of Dergiabant and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article critically assesses the quality of the research of four articles published under the theme "Faith and the Natural Sciences" in the Journal of Humanities, 63(2):192-261. Lewis Vaughn's statement in his book The Power of Critical Thinking is taken as cue for assessing the articles. He wrote (Vaughn, 2005:3): "Critical thinking focuses not on what causes a belief, but whether it is worth believing. A belief is worth believing, or accepting, if we have good reasons to accept it." The conclusion of the authors already expressed in the first of the articles, namely that the Bible and the Christian religion support the results of modern science, is scrutinised critically in the current article. In the first section the issue of how researchers are able to distinguish between truth and falsity is discussed. The authors of the articles under discussion answered this question in terms of a scientific method consisting of the following steps: (1) observation, (2) questioning, (3) formulation of a hypothesis, (4) challenging the hypothesis, (5) formulation of a theory. However, they are of the opinion that research done by natural scientists differs from the kind of research done by researchers in the humanities, social sciences and religion. According to them the latter group may commence their research with presuppositions. Research in theology may serve as an example. According to their reasoning religious convictions are allowed to guide the research. They therefore distinguish between religious convictions and interpretations based on religious convictions respectively. Researchers in theology may critically assess the quality of the interpretations -- but never the religious convictions themselves since this can lead to questioning of eternal religious truths. While I agree with their exposition of the scientific process as a method of discovering the truth about an aspect of the world in which we live, I argue against their conviction that research done in the humanities, social sciences and religion differs from that done in the natural sciences and that faith convictions are allowed to play a role in the research process. My argument is illustrated with reference to two examples -- one from the natural sciences, and one from the human sciences. The example from the natural sciences focuses on astronomy and the paradigm shift brought about by Copernicus's (1774--1543) and Galileo Galilei's (1564--1642) investigations. Prior to their research findings astronomers were convinced that the earth is the centre of the universe and that the sun, moon and planets revolve around the earth. The abovementioned observations led to the discarding of the geocentric model of the universe. However, Copernicus's and Galileo's new hypothesis was not immediately accepted. It took time before the heliocentric model of the universe was accepted. This shift can also be called a shift in perspective. The different scholars looked at the same natural phenomena but saw different pictures. The identification of sources in the Pentateuch serves as an example of a similar process in the human sciences. Jean Astruc (1684--1766) believed that Moses was the author of the Pentateuch. However, his research of the book of Genesis revealed that Moses had used different names for God: Elohim and Yahweh. This led Astruc to formulate the hypothesis that Moses had used two older sources (E and J) to write the book of Genesis. He also identified a third source consisting of smaller fragments in Genesis. This was the beginning of the socalled four-sources hypothesis concerning the origin of the Pentateuch and resulted in the identification of the sources J, E, D, and P. Julius Wellhausen (1844--1918) used this hypothesis to argue that the priestly material (the laws, regulations and prescriptions) originated after the prophetic material. He discarded the old conviction that the priestly material originated during the early history of Israel. This also led to questioning of the conviction that Moses was the author of the Pentateuch. It would appear that the authors of the articles under consideration are totally oblivious of recent research findings, since they still refer to Moses as the author of Genesis. In the second section of the current article the relationship between truth and history is discussed. In the first sub-section of this part of the article the dawn of a historical consciousness in the Western world is considered. Charles Darwin (1809--1882) benefitted from such consciousness. He merged history with biology and argued that animal and plant species are not static, but that they do change over time. This led to his book The Origin of Species published in 1859 which the authors of the four articles erroneously referred to as the 18th century. The second sub-section of this part of the article discusses Thomas Kuhn's (1922--1996) identification of paradigms and paradigm shifts in the history of the natural sciences. It is subsequently argued that the history of biblical research reflects similar paradigms and paradigm shifts and concludes that there was a major paradigm shift towards the end of the 19th and the beginning of the 20th century. This shift entails a different look at the Bible. The Bible was no longer regarded as a special book containing the words of God. Rather, scholars became convinced that the Bible was entirely a human book. James Barr (1924--2006) eloquently formulated it as follows (1973:120): "If one wants to use the Word-of-God type of language, the proper term for the Bible would be Word of Israel, Word of some leading early Christians." The previous two sections of the current article identified the defects in the arguments entertained in the articles under discussion (June, 2023). The authors' assumption that research in the humanities and social sciences differs from scientific research is found to be problematical. Furthermore, they would appear to disregard the research history of the subjects they are comparing, since no mention is made of the paradigm shift in biblical studies. But that is not all, the authors also superimposed their convictions onto the text of the Bible as if such convictions were shared by people living in the ancient Near Eastern world. In the third section of the current article Genesis 1:1-2:4a and Genesis 2:4b-3:24 are properly analysed as etiological stories to drive home the nail that the research as reflected in said articles is unconvincing. [ABSTRACT FROM AUTHOR]

Efficient methods for incorporating engineering experience into the intelligent generation and optimization of shear wall structures are lacking, hindering intelligent design performance assessment and enhancement. This study introduces an assessment method used in the intelligent design and optimization of shear wall structures that effectively combines mechanical analysis and formulaic encoding of empirical rules. First, the critical information about the structure was extracted through data structuring. Second, an empirical rule assessment method was developed based on the engineer's experience and design standards to complete a preliminary assessment and screening of the structure. Subsequently, an assessment method based on mechanical performance and material consumption was used to compare different structural schemes comprehensively. Finally, the assessment effectiveness was demonstrated using a typical case. Compared to traditional assessment methods, the proposed method is more comprehensive and significantly more efficient, promoting the intelligent transformation of structural design. [ABSTRACT FROM AUTHOR]

Copyright of China Media Report Overseas is the property of Edmondson Intercultural Enterprises and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper, a section of our book "Some Thoughts on Total Being and the Limits of Human Comprehension," offers additional observations on the intersection of religion and science. It delves deeper into the disparities between the ways in which science and religion approach knowledge, while also exploring certain moral and political implications that arise when we acknowledge the unyielding constraints of human comprehension. The final section of the paper discusses the rationality, effectiveness, and feasibility of the Global Politics of Agnosticism. [ABSTRACT FROM AUTHOR]

The traditional structural design process of rural buildings requires a lot of trial calculations and iterations of modelling work. However, rural buildings are subject to construction costs and cannot be professionally designed and checked by designers like urban buildings. Their safety and economy are difficult to meet the requirements. Therefore, an intelligent design concept of rural light steel frame structure was proposed, including intelligent modeling and intelligent optimization. Based on the automatic layer recognition method and optical character recognition technology, the BIM intelligent modeling method of rural light steel frame structure corresponding to the standard atlas of rural buildings was proposed, including layer recognition, axis text data extraction, primary selection and automatic arrangement of components. The intelligent modeling results basically met the requirements of practical application. Based on the proposed two-stage genetic algorithm, an intelligent optimization method of rural light steel frame structure was given. The optimization speed was fast and the optimization effect was good. The proposed intelligent design method was verified by practical case. The results showed that the proposed intelligent design concept of rural light steel frame structure was feasible. Compared with the traditional manual design method, the design period could be shortened by more than 80%, and the structural design indexes were comparable. [ABSTRACT FROM AUTHOR]

Along with the popularization and expanding influence of Internet applications, Web 3D is born from various mature technologies driven by the demand for commercial interests in the Internet. This study designs an interactive intelligent design method for indoor environment space based on Web 3D, which has cross-platform and high-performance graphic drawing capability and covers indoor lighting material transformation, smooth switching of viewpoints, zooming of areas, and other interactive modes. It has cross-platform and high-performance graphic drawing capabilities and covers indoor lighting material change, smooth switching of viewpoints, area zoom, and other features. Based on the visual perception characteristics of the human eye, we obtain the user’s most realistic experience of the color of the indoor space and then construct the virtual indoor environmental space through the Web 3D system, and carry out a visual analysis of the indoor space under different materials and colors. The results show that under the visual analysis of Web 3D, the optimal distribution of color luminance values affecting the visual psychology of indoor environmental space is between 30.5 and 68.9nit, with a mean value of 49.59nit. The results can establish a favorable basis for the later indoor color configuration, which is in line with the visual characteristics of the human eye in indoor color configuration design practice.

This study investigates the integration of digital twin technology in the design of traditional cultural and creative products, addressing the challenges of innovation and efficiency in the cultural and creative industries. By employing digital twin network modeling, we develop an intelligent design method that digitally replicates and optimizes cultural products, enhancing design efficiency and innovation. Our approach involves digital modeling of traditional characteristics through preprocessing and feature extraction, followed by multi-scale design evolution experiments in a virtual environment. Results show a 30% improvement in design efficiency and increased product innovation and user satisfaction, demonstrating the method’s potential to revolutionize traditional product design while preserving cultural essence. This research contributes to the intelligent design of cultural and creative products and suggests new avenues for the cultural industry’s innovative growth.

This paper adopts multi-data fusion technology to design urban environmental intelligence. First, store the information collected by the reader communication module and receive and analyze the urban environmental monitoring data sent by the handheld RF reader. Secondly, calculate the mean value of environmental data by weighted average, summarize the sample information by combining it with Bayesian estimation, and fuse the values of the multi-sensor data. Finally, D-S evidence inference is utilized to expand Bayes and enhance the degree of trust in the focal element. The results show that the utilization value of multi-data fusion technology can reach 1000, with the growth of time, the public urban environment concern reaches 900 times, the level of intelligent design of the urban environment is improved faster, and the overall effect is good.

Ethnic patterns, a kind of visual symbols with unique representation forms and symbolic connotations, serve as a nation’s unique marks in terms of its historical background, social environment, production and life, ideas and beliefs, presenting distinct regional and national characteristics, The Huayao ethnic group is a small branch of the Yao nationality, with a time-honored history and rich culture of thousands of years, Huayao cross-stitch is a unique artistic form of folk handicraft owned by the Huayao people as well as a “living carrier” of Huayao people’s everlasting national culture, Huayao cross-stitch patterns, aesthetically appealing with rich cultural implications, hold evolutionary records of the development and change of Huayao national culture, The innovative design of Huayao cross-stitch patterns is one of the most effective ways to activate the inner vitality of Huayao culture, At present, the active use of intelligent technology to inherit and innovate ethnic patterns is a hot topic among the scholarly community under the background of deep integration of culture and technology, In this way, the design cycle can be greatly shortened and pattern forms can be significantly enriched, which opens up unlimited creative space for the innovative design of ethnic patterns, However, the majority of existing research on the intelligent generation of ethnic patterns focuses on the use of intelligent technology, and there are few attempts regarding an in-depth exploration of the style characteristics of ethnic patterns, This paper explored the forms and methods of the intelligent generation of Huayao cross-stitch patterns based on retaining their style characteristics, Firstly, the descriptions of style characteristics of Huayao cross-stitch patterns were collected and semantically summarized by using Kansei engineering experiments and questionnaires or surveys, Typical factors determining style characteristics were extracted through importance evaluation and statistical analysis, Then, the extracted factors were analyzed and summarized into four dimensions in terms of style characteristics: composition, modeling, semantics and stitches, based on which, the setting and conversion of intelligent design forms of Huayao cross-stitch patterns were carried out, Finally, the deep learning network algorithm learning was carried out by constructing the main patterns of Huayao cross-stitch and the stick figure image data set to generate the patterns with Huayao cross-stitch style characteristics, According to the data characteristics of the outer contour of Huayao cross-stitch patterns, the contour detection filling module and the shape module were then introduced, and a novel model structure named “HYCycleGAN” was proposed to intelligently generate the main patterns of Huayao cross-stitch, and then the intelligent design practice was carried out with accordance with the preset pattern organization forms to generate an adjustable auxiliary design scheme, In this paper, from the perspective of the continuation of the style characteristics of Huayao cross-stitch patterns, the intelligent generation interactive system of Huayao cross-stitch patterns was constructed through the recognition and extraction of factors with Huayao cross-stitch style characteristics and by the conversion and setting of design forms, and by the selection and optimization of feasible intelligent design methods, With the help of this system, users can freely set a canvas size, a composition mode and input the main patterns and select the filling patterns to generate new cross-stitch patterns, The design generation experiment was carried out and its priority degree was then evaluated, aiming at optimizing the path of intelligent design and providing new ideas for the intelligent design method of ethnic patterns, Extraction and retaining of the style characteristics of Huayao cross-stitch patterns is the basis and key to the design transformation and cultural innovation of Huayao culture, Huayao cross-stitch patterns boast characteristics and values beyond multiple dimensions of form, behavior and spirit, Therefore, the extraction of the style characteristics of Huayao cross-stitch patterns needs a much more solid field investigation and data collection from a holistic and systematic perspective in order to expand the breadth and depth of the current research, Besides, there is still room for expanding the expression forms and application scenarios in the exploration of intelligent design forms, which is also the research focus of the next stage. [ABSTRACT FROM AUTHOR]

The design of distillation columns significantly impacts the economy, energy consumption, and environment of chemical processes. However, optimizing the design of distillation columns is a very challenging problem. In order to develop an intelligent technique to obtain the best design solution, improve design efficiency, and minimize reliance on experience in the design process, a design methodology based on the GA-BP model is proposed in this paper. Firstly, a distillation column surrogate model is established using the back propagation neural network technique based on the training data from the rigorous simulation, which covers all possible changes in feed conditions, operating conditions, and design parameters. The essence of this step is to turn the distillation design process from model-driven to data-driven. Secondly, the model takes the minimum TAC as the objective function and performs the optimization search using a Genetic Algorithm to obtain the design solution with the minimum TAC, in which a life-cycle assessment (LCA) model is incorporated to evaluate the obtained optimized design solution from both economic and environmental aspects. Finally, the feasibility of the proposed method is verified with a propylene distillation column as an example. The results show that the method has advantages in convergence speed without sacrificing accuracy and can obtain an improved design solution with reduced cost and environmental impact. Compared with the original design using rigorous simulation, the TAC is reduced by 6.1% and carbon emission by 27.13 kgCO2/t. [ABSTRACT FROM AUTHOR]

Data-driven intelligent computational design (DICD) is a research hotspot that emerged under fast-developing artificial intelligence. It emphasizes utilizing deep learning algorithms to extract and represent the design features hidden in historical or fabricated design process data and then learn the combination and mapping patterns of these design features for design solution retrieval, generation, optimization, evaluation, etc. Due to its capability of automatically and efficiently generating design solutions and thus supporting human-in-the-loop intelligent and innovative design activities, DICD has drawn the attention of both academic and industrial fields. However, as an emerging research subject, many unexplored issues still limit the development and application of DICD, such as specific dataset building, engineering design-related feature engineering, systematic methods and techniques for DICD implementation in the entire product design process, etc. In this regard, a systematic and operable road map for DICD implementation from a full-process perspective is established, including a general workflow for DICD project planning, an overall framework for DICD project implementation, the common mechanisms and calculation principles during DICD, key enabling technologies for detailed DICD implementation, and three case scenarios of DICD application. The road map can help academic researchers to locate their specific research directions for the further development of DICD and provide operable guidance for the engineers in their specific DICD applications [ABSTRACT FROM AUTHOR]

Many people assume ceaseless conflict between natural science and Christianity, but the real conflict has been between scientism and Christianity. Scientism is the view that only the sciences (especially not theology) generate knowledge or rational belief. I show how Christianity generated rational beliefs that contributed to the rise of science. This science-fostering rational belief included rationales for when to practice methodological naturalism, and when to study nature without that restriction. Both practices cultivated science, though in different ways. This historical difference is of enduring value for recent debates about metaphysical naturalism (atheism), creationism, theistic evolution, and intelligent design. [ABSTRACT FROM AUTHOR]

A longstanding question in science and religion is whether standard evolutionary models are compatible with the claim that the world was designed. In The Compatibility of Evolution and Design, theologian E. V. Rope Kojonen constructs a powerful argument that not only are evolution and design compatible, but that evolutionary processes (and biological data) strongly point to design. Yet Kojonen's model faces several difficulties, each of which raise hurdles for his understanding of how evolution and design can be harmonized. First, his argument for design (and its compatibility with evolution) relies upon a particular view of nature in which fitness landscapes are "fine-tuned" to allow proteins to evolve from one form to another by mutation and selection. But biological data run contrary to this claim, which poses a problem for Kojonen's design argument (and, as such, his attempt to harmonize design with evolution). Second, Kojonen appeals to the bacterial flagellum to strengthen his case for design, yet the type of design in the flagellum is incompatible with mainstream evolutionary theory, which (again) damages his reconciliation of design with evolution. Third, Kojonen regards convergent evolution as notable positive evidence in favor of his model (including his version of design), yet convergent evolution actually harms the justification of common ancestry, which Kojonen also accepts. This, too, mars his reconciliation of design and evolution. Finally, Kojonen's model damages the epistemology that undergirds his own design argument as well as the design intuitions of everyday "theists on the street", whom he seeks to defend. Thus, despite the remarkable depth, nuance, and erudition of Kojonen's account, it does not offer a convincing reconciliation of 'design' and 'evolution'. [ABSTRACT FROM AUTHOR]