Intuitive Basis Research Articles

Spatial assessment of coastal flood risk due to sea level rise in China’s coastal zone through the 21st century

Among the climate change-induced threats to coastal regions, coastal flooding caused by sea level rise (SLR) is considered one of the most serious and presents an intensifying trend over time. The negative impacts and risks associated with coastal flooding are difficult to visualize spatially and cause great inconvenience to policy-makers in understanding the distribution of different risk levels and developing adaptation policies. Our study proposes a framework for coastal flood risk (CFR) based on the hazard, exposure & sensitivity, and adaptive capacity of China’s coastal zone (CCZ) and maps the spatial distribution of CFR by GIS in 2030, 2050, and 2100 under RCP2.6-SSP1, RCP4.5-SSP2, and RCP8.5-SSP5, respectively. Our results reveal that (1) low-lying coastal areas with densely populated, economically developed, or industrially diverse are faced with serious CFRs, such as the Yellow River Delta, the Yangtze River Delta, the Pearl River Delta, and the coastal areas in Jiangsu. (2) The area of “Very high” CFR level in the CCZ reaches a peak of 44.10×103 km2 in 2100 under RCP8.5-SSP5. And under the higher emission scenario, the areas of five CFR levels would change dramatically in the future. (3) The coastal area of Guangdong is significantly faced with the massive expected population and GDP affected due to CFR among scenarios and years. (4) As threatened by CFR mostly, built-up and farmland are particularly required to guard against the negative impact of coastal flooding, especially in Guangdong and Jiangsu. Results in this study are expected to provide the intuitive information and basis for governments, policy-makers, and local communities in addressing the increased CFR over the CCZ. Besides, our framework of CFR and methodology are flexible and can be adapted for other countries facing the threat of SLR.

Limited Intervention and Moral Kindergartens

Recently, William Hasker and Cheryl Chen have argued that James Sterba’s argument for the non-existence of God based on the existence of horrendous evil consequences fails. Hasker, among other things, contends that eliminating horrendous evil consequences will result in a moral kindergarten. It is unclear, however, whether the elimination of horrendous evil consequences will result in a moral kindergarten. Moreover, if Hasker is right, then it may be that most people in the actual world live in a moral kindergarten. Chen argues that eliminating horrendous evil consequences may lead to a morally worse world. While Chen is ultimately right about this, it is not fatal to the basic intuition at the heart of Sterba’s argument.

Experimental Research on Chip Morphology of Ti-5553 Cutting under High-Pressure Cooling

Because Ti-5553 is a kind of difficult-to-machining material, this study uses high-pressure cooling to assist machining and compares it with dry cutting to observe the change of chip morphology in the cutting process. Firstly, a comparative analysis of the chip's macroscopic morphology is carried out, and then the microscopic morphology difference of the chip and its influence on the macroscopic morphology are explored. Furthermore, it provides an intuitive basis for evaluating the cutting performance of Ti-5553 under high-pressure cooling. Experimental research shows that the chips generated under high-pressure cooling are more conducive to chip breaking.

Fault localization using function call frequencies

In traditional Spectrum-Based Fault Localization (SBFL), hit-based spectrum is used to estimate a program element’s suspiciousness to contain a fault, i.e., only the binary information is used if the code element was executed by the test case or not. Count-based spectra can potentially improve the localization effectiveness due to the number of executions also being available. In this work, we use function-level granularity and define count-based spectra which use function call frequencies. We investigate the naïve approach, which simply counts the function call instances. We also define a novel method which is based on counting the different function call contexts, i.e., the frequency of the investigated function occurring in unique call stack instances during test execution. The basic intuition is that if a function is called in many different contexts during a failing test case, it will be more probable to be accountable for the fault. We empirically evaluated the fault localization capability of different variations of the approach and compared them to 9 traditional SBFL techniques using the Defects4J benchmark. We show that: (i) naïve counts result in worse rank positions than the hit-based approach, but (ii) unique counts produce better rank positions with some of the algorithm variants.

Systematic review and meta-analysis of the related factors for diabetic retinopathy.

The related factors of diabetic retinopathy (DR) had attracted the attention of many scholars, and a large number of articles had been published, but the research results were not consistent. A meta-analysis was conducted to synthesize recent evidence, aiming at exploring the relationship between DR and multiple risk factors. The China National Knowledge Infrastructure, VIP, Wanfang, PubMed, Embase, Medline, and Cochrane databases were searched. The English and Chinese keywords included diabetes mellitus, DM, diabetic retinopathy, DR, and risk factors. In case-control study, the subjects are DR patients and NDR patients. In the cohort study, the subjects were diabetic patients. Measures in the intervention and control groups were described in detail. The methodological quality of the included literature was assessed using the Newcastle-Ottawa Scale (NOS). Egger's test is used to identify publication bias. With odds ratio (OR) as the effect index, heterogeneity test was conducted, and fixed effect model or random effect model was selected to calculate the combined OR and 95% CI. The meta-analysis included 12 literatures and 13 related risk factors, of which 4 (33.33%) were cohort studies and 8 (66.66%) were case-control studies. NOS shows that there are 7 references with 8 points (58.33%), 4 references with 7 points (33.33%) and 1 reference with 6 points (8.33%). The risk factors associated with the occurrence of DR were: course of diabetes (OR =1.03, 95% CI: 1.02-1.03), systolic blood pressure (OR =1.01, 95% CI: 1.01-1.02), body mass index (OR =0.96, 95% CI: 0.94-0.99), HbA1c (OR =1.08, 95% CI: 1.06-1.10), total cholesterol (OR =1.20, 95% CI: 0.98-1.46), high-density lipoprotein cholesterol (OR =1.74, 95% CI: 1.19-2.56), fasting blood glucose (OR =1.19, 95% CI: 1.13-1.26), and hypertension (OR =1.25, 95% CI: 1.07-1.47), and the overall effect test results were statistically significant. Sensitivity analysis results show that the random effect model is used for meta-analysis of all Meta, and the combined OR is 1.10, and the 95% CI is (1.05, 1.15). The occurrence of DR was related to the course of diabetes, SBP, HbA1c, total cholesterol, high-density lipoprotein cholesterol, fasting blood glucose, and hypertension which provided a more intuitive and comprehensive scientific basis for the prevention and treatment of DR.

A novel explainable neural network for Alzheimer’s disease diagnosis

Visual classification for medical images has been dominated by convolutional neural networks (CNNs) for years. Though they have shown great performance on accuracy, some of them provide decisions that are hard to explain while others encode information from irrelevant or noisy regions. In this work, we try to close this gap by proposing an explainable framework which consists of a predictor and an explainable tool, so as to provide accurate diagnoses with intuitive visualization maps and prediction basis. Specifically, the predictor is designed by applying attention mechanisms to multi-scale features so as to learn and discover class discriminative latent representations that are close to each brain volume’s label. Meanwhile, to explain our predictor, we propose the novel explainable tool which includes a high-resolution visualization method and a prediction-basis creation and retrieval module. The former effectively integrates the feature maps of intermediate layers as well as the last convolutional layer, which surpasses state-of-the-art visualization approaches in producing high-resolution representations with more accurate localization of discriminative areas. While the latter provides prediction basis evidence via retrieved volumes with similar latent representations which are accessible to neurologists. Extensive experiments show that the proposed framework achieves higher level of accuracy and explainability over other state-of-the-art solutions. More importantly, it localizes crucial brain areas with clearer boundaries, less noises, which matches background knowledge in the neuroscience literature.

Taxation and evasion: a dynamic model

In this paper we study tax evasion by means of a unified framework, based on a behavioral approach, where each individual decision with respect to tax compliance is driven by either personal evaluations of the available information, correlated to income and the perception of the quality of the public good, and social influences, derived by the known decision of neighbors. Our model relies on individual utility functions and describes the tax-evasion problem by means of a personal evolutionary scheme, in which each citizen dynamically adapts her behavior as a response to changing economic and social factors. We will show basic economic intuitions on the relevance of penalties, imitation, satisfaction and risk aversion by means of an analytical model and its agent-based companion version, in order to analyse different elements influencing tax evasion and their dynamic effects. In particular, it is shown how the tax-evasion probability changes as a function of the risk-aversion and specific focus is dedicated to the role played by non-monetary elements of utility in inducing high levels of tax compliance also at substantially reduced fines.

Bifurcations in the symmetric viability model with weak selection

In this paper we discuss bifurcations of equilibria in the symmetric viability model with weak selection. Overcoming the difficulties from irrational fractions of the 4 parameters in determining the signs of determinant and trace, we find that the system has at most 5 interior equilibria, 4 edge equilibria and 4 corner equilibria and give a complete qualitative analysis for all equilibria in both hyperbolic cases and non-hyperbolic cases, including the case of fully null degeneracy. On this basis we display all bifurcations of equilibria such as pitchfork bifurcation, transcritical bifurcation and bifurcations at corner equilibria of fully null degeneracy, which is of codimension 2 but none of known results of codimension 2 can be applied to. We further discuss the unfolding system of fully null degeneracy, displaying all its bifurcations and giving bifurcation curves analytically. Our results provide an intuitive basis for us to predict the genetic composition of a population and provide the basic mathematical theory for the protection and loss of alleles.

Application of Subperineural Resection Technique in Vestibular Schwannomas: Surgical Efficacy and Outcomes in 124 patients.

ObjectiveWe aimed to explore the application and prospects of the subperineural resection technique for tumor separation and removal under the perineurium during surgery for vestibular schwannomas (VSs).MethodsThis study retrospectively analyzed 124 patients with VSs who underwent surgery via a retrosigmoid approach from July 2015 to October 2020 in the Department of Neurosurgery, Tangdu Hospital, Air Force Military Medical University. The data will be discussed with regard to the following aspects: clinical features, surgical strategies, tumor resection extent, facial–acoustic function preservation, and postoperative complications.ResultsGross total resection (GTR) of the tumor was achieved in 104 patients, with a GTR rate of 83.9%, and subtotal resection (STR) of the tumor was achieved in 20 patients. There was no significant difference in facial and acoustic nerve functional preservation between GTR and STR, as well as in tumor resection between solid and cystic tumors. The retention rate reached 97.6% in terms of complete anatomical facial nerve preservation. Facial nerve function was assessed using the House–Brackmann (HB) grading score. Consequently, HB grades of I–II, III–IV, and V–VI were determined for 96 (77.4%), 25 (20.2%), and 3 (2.4%) cases, respectively, 1 week postoperatively and accounted for 110 cases (88.7%), 13 cases (10.5%), and 1 case (0.8%), respectively, at 6 months. Fifteen of 35 (42.9%) patients with serviceable hearing before the operation still had serviceable hearing at 6 months postoperatively. There were 5 cases of cerebellar or brainstem bleeding after the operation, and one patient died. Multivariate logistic regression analysis showed that older age (≥60 years, p = 0.011), large tumor (>3 cm, p = 0.004), and cystic tumor (p = 0.046) were independent risk factors associated with the extent of adhesion between the tumor and the brainstem and facial–acoustic nerve.ConclusionWe successfully applied the subperineural resection technique to a large series of patients with VSs and achieved satisfactory results. Accurate identification of the perineurium and subperineural resection of the tumor can effectively reduce the disturbance of the facial–acoustic nerve during the operation and provide an intuitive basis for judging the tumor boundary. The subperineural resection technique may be conducive to improving the rate of total tumor resection and facial–acoustic nerve functional preservation in the surgical treatment of VSs.

Radiosynthesis and Tumor MicroPET/CT Imaging of 18F-Fluoro­ethoxylerianin, an 18F-Labeled Erianin Analogue

AbstractErianin is an active constituent of Dendrobium candidum. In this work, 18F-fluoroethoxylerianin ([18F]FEE), a 18F-Labeled erianin analogue, was designed and synthesized to evaluate the properties of erianin and related analogues by in vivo PET imaging. The initial product was separated and purified by liquid-phase separation module Explora LC and simple homemade solid-phase extraction, and high purity [18F]FEE was finally obtained. The radiochemical purity of [18F]FEE was determined by Radio-TLC and Radio-HPLC. [18F]FEE showed good stability in normal saline and serum, and could be quickly eliminated from mice. Cell experiments, biological distribution, and small-animal PET/CT further showed that [18F]FEE had a high uptake rate in HepG2 tumor cells, and showed good imaging ability in a HepG2 tumor model. The results of this study indicate that the synthesized 18F-labeled erianin analogue is an effective new probe for positron emission tomography (PET) imaging of HepG2 hepatocellular carcinoma, which provides an intuitive and reliable theoretical basis for the development of erianin as an anticancer drug.

A Brief History of Updates of Answer-Set Programs

AbstractOver the last couple of decades, there has been a considerable effort devoted to the problem of updating logic programs under the stable model semantics (a.k.a. answer-set programs) or, in other words, the problem of characterising the result of bringing up-to-date a logic program when the world it describes changes. Whereas the state-of-the-art approaches are guided by the same basic intuitions and aspirations as belief updates in the context of classical logic, they build upon fundamentally different principles and methods, which have prevented a unifying framework that could embrace both belief and rule updates. In this paper, we will overview some of the main approaches and results related to answer-set programming updates, while pointing out some of the main challenges that research in this topic has faced.

Protective Effect of Amino Acids on the Muscle Injury of Aerobics Athletes after Endurance Exercise Based on CT Images.

During the training process, the aerobics athletes gradually increase their technical movements, the appreciation of the movements has been gradually improved, and the injuries of the athletes themselves have also gradually become serious. Based on CT image analysis, we study the protective effect of amino acids on aerobics athletes' muscle injury after endurance exercise. There are three major substance metabolism disorders in patients with muscle sclerosis, which are mainly manifested as decreased glucose tolerance and insulin resistance. Some patients develop muscle-derived diabetes. At the same time, the synthesis of lipids such as cholesterol and apolipoproteins decreases, the production of ketone bodies increases and the body uses more ketones for energy. The BCAA/AAA factor refers to the branched-chain amino acid/aromatic amino acid (BCAA/AAA) value. In amino acid metabolism, plasma albumin decreased significantly, the ratio of amino acids was unbalanced, and BCAA/AAA decreased, which was more likely to induce muscular encephalopathy. Using computer tomography (CT) to study the protective effect of amino acids on muscle injury, 32 aerobics athletes were randomly divided into an intervention group (Ig) and a control group (CG), each with 16 people. After 64-slice spiral CT scanning of muscles and three-dimensional reconstruction, the intervention group and the control group participated in aerobic endurance training 3 weeks in advance to establish a muscle microinjury model. The intervention group took the preprepared BCAA, while the control group did not take it. After three weeks of training, there will be one hour and three hours of aerobics competition. We need to detect changes in blood glucose (BS), creatine kinase (SCK), lactate dehydrogenase (LD), alanine (ALA), and alanine aminotransferase (AA) before and after exercise and 1 hour after exercise and record AVS athletes' pain analysis table. We successfully established the muscle injury model, letting all athletes' VAS score in 6–8 points; after 1 hour of exercise, the measurement results were the same as those of 2 hours. Therefore, after endurance training, the blood glucose content of the intervention group gradually decreased and returned to the original level after 2 hours of exercise, while the control group was lower than the level of exercise after 2 hours of exercise; the content of alanine in the two groups decreased more after 2 hours of exercise; the results of serum creatine kinase in the intervention group were higher than those in the control group after exercise. In the intervention group, lactate dehydrogenase increased rapidly at 2 hours after exercise; the alanine aminotransferase in the intervention group increased after exercise, but there was no significant change in the control group. It is also concluded that the longer the exercise time and the more energy consumption, the more effective the branched-chain amino acids supplement will be. The obtained imaging data can provide a more intuitive and accurate basis for the scientific selection of athletes, and amino acids can promote the synthesis of hormones, accelerate the synthesis of proteins and other products, reduce the content of creatine kinase in the blood, and protect the rapid recovery of muscle damage.

On the Use of Residuals as Dependent Variables

ABSTRACT We discuss some pitfalls associated with using residuals as dependent variables in accounting research. We provide basic intuition for why the typical implementation of this procedure generates biased coefficients and standard errors that can lead to incorrect inferences with both type I and type II errors. We illustrate model specification issues associated with estimating regressions in two steps versus one and discuss possible over-specification and the use of fixed effects. We provide Stata code and sample data to help illustrate and understand this bias and conclude with concrete guidance for researchers and reviewers of archival research.

Sobornost as a metaphysical category in the religious personalism of V.S. Solovyov, archpriest Sergiy Bulgakov and archimandrite Sophrony (Sakharov)

Introduction. The article examines collegiality as a category of metaphysics in the religious and philosophical systems of V.S. Solovyov, prot. Sergei Bulgakov and archim. Sophrony (Sakharov). The analysis of the category of collegiality is carried out through the prism of personalism, as a basic concept for the metaphysical thinking of these authors.Materials and Methods. The research material for the proposed article is monographs and scientific works of Russian researchers devoted to the problems of ecclesiology, sophiology and personalism. In this article, the methods of comparative analysis, historical and philosophical synthesis, generalization, abstraction and interpretation were used.Results. The main problem posed in this article is the process of reception of the category of collegiality in Russian religious personalism. Sobornost is a term coined in the Slavophil tradition to express the concept of "unity in a plurality." In the metaphysics of total-unity and in neo-patristic synthesis, this category was perceived because it solved one of the basic questions: how are the personality correlated as the One, and the multitude, as the All-unity? This solution was formally different (for sophiology and neopatristic theology), but structurally identical. Sobornost, as unity in the multitude, realized in the Church, has as its prototype the Trinity of God. At the same time, the study states that collegiality was one of the main categories in which the general Sophian personalism of the Russian philosophical tradition was expressed. Sophia in this case means the nature of the Church, open to hypostasis, and through this hypostasis creates the possibility of Theosis of man. The research focuses on three personalities of the Russian intellectual tradition: the philosopher V.S. Soloviev and theologians Archpriest Sergei Bulgakov and Archimandrite Sophrony (Sakharov).V.S. Soloviev, as the founder of the Russian metaphysics of All-Unity, uses the concept of God-manhood as a metaphysician of conciliarity, transmitting a personalistic impulse to subsequent philosophers. Late nightingale moves away from theistic personalism towards immanetism, but his disciples, among whom was Archpriest. Sergei Bulgakov, connect the category of conciliarity and the concept of God-manhood in sophiological ecclesiology. In this case, prot. Sergei Bulgakov substantiates his cathedral personalism on the basis of a trinitarian anthropological model. The tradition of neo-patristic synthesis, which is analyzed using the example of archimandrite Sophrony (Sakharov), refuses sophiological terminology, preserving the basic intuitions developed in Russian religious philosophy, returning them to the traditional theological field of meanings.Discussion and Conclusion. In the Slavophil tradition, collegiality is understood historiosophically, in the metaphysics of All-Unity - sophiologically, and in the neopatristic synthesis - ecclesiologically. In the philosophy of the Silver Age and theology, personalism becomes one of the main themes, which leads to the transformation of the category of collegiality towards polyhypostasis as the main property of the nature of the Church. At the same time, we see the transformation of a certain basic personal intuition of collegiality, which comes from the church tradition and returns to it, enriched with philosophical meanings.

Библейское Слово в трудах религиозных мыслителей (С. Л. Франк, Г. П. Федотов, Н. С. Арсеньев)

During the years of the revolution and the Civil War S. L. Frank, G. P. Fedotov, N. S. Arseniev were professors at Saratov University, but this is not all that unites them. In emigration these religious thinkers taught at various research-training, cultural-educational and spiritual centers of Europe, both Russian and foreign. The article reveals their personal experience of referring to the Biblical Word, exegesis of biblical texts based on Orthodox theology and biblical criticism. Frank wrote about the Word that created the world and the incarnate Word. In the book Collapse of the Idols (1923) he appeals to his reader with quotations from the New Testament, expressing the eternal and absolute. In the Holy Scriptures, he finds a match for his “basic intuition” of being. He bases his book Light in the Darkness (1949) on The Gospel of John, expressing the Christian attitude towards evil and criticizing all kinds of Utopianism. Frank’s idea that a man is destined to suffer to obtain salvation is also derived by him from the New Testament. Fedotov’s programmatic proposal on biblical studies is the article Orthodoxy and Historical Criticism (1932). He posed “the question of the limits of criticism in biblical exegesis”. Fedotov goes to the “pure basis of the Holy Tradition”, combining criticism of the historical school, “dogmatic loyalty to Orthodoxy” and “warm attitude” to Western Christianity. In the book Spiritual Poems (1935) the thinker explores folk beliefs in spiritual verses considering how biblical images (the Mother of God as “suffering mother and intercessor,” Christ the Almighty) and eschatological prophecies transform in them.The spiritual experience of the apostles John and Paul, their mysticism is the central attraction of Arseniev’s exegetical interests. He reinterprets the pre-Christian concept of the Logos and comes to the Christian understanding of the Word of God: Logos of the Old Testament prepares the hearts of men for the incarnation of the Son of God.

Leveraging Active Decremental TTL Measuring for Flexible and Efficient NAT identification

Malicious attacks can be launched by misusing the network address translation technique as a camouflage. To mitigate such threats, network address translation identification is investigated to identify network address translation devices and detect abnormal behaviors. However, existing methods in this field are mainly developed for relatively small-scale networks and work in an offline manner, which cannot adapt to the real-time inference requirements in high-speed network scenarios. In this paper, we propose a flexible and efficient network address translation identification scheme based on actively measuring the distance of a round trip to a target with decremental time-to-live values. The basic intuition is that the incoming and outgoing traffic from a network address translation device usually experiences the different number of hops, which can be discovered by probing with dedicated time-to-live values. We explore a joint effort of parallel transmission, stateless probes, and flexible measuring reuse to accommodate the efficiency of the measuring process. We further accelerate statistical counting with a new sublinear space data structure Bi-sketch. We implement a prototype and conduct real-world deployments with 1000 volunteers in 31 Chinese provinces, which is believed to bring insight for ground truth collection in this field. Experiments on multi-sources datasets show that our proposal can achieve as high precision and recall as 95% with a traffic handling throughput of over 106 pps.

Philosophy of action and creativity in Wilhelm Feldman’s historical syntheses

Wilhelm Feldman – a writer, publicist, literary critic, activist and political thinker, legendary editor of “Krytyka” in Kraków – was also an initiator and participant in many Young Poland discussions. The article is an attempt to reconstruct the basic ideas and intuitions present in Feldman’s major historical works and minor sketches. The author argues that they are philosophical in nature and form a coherent position. His philosophy combines romantic inspirations with the positivist programme of organic work and with elements of independence socialism, constituting an important element in the philosophical thought of Polish modernism in Galicia.

Interactive Large-Scale Flood Scenario Dynamic Early Warning Simulation

Flooding is a natural disaster that seriously endangers the safety of people’s life and property. Given the insufficient systemization of the existing flood disaster simulation technology in our country, it is difficult to visualize the situation, trend, and damage assessment of the flooding to the decision-maker instantly and intuitively. An interactive large-scale flood disaster dynamic scene early warning simulation system is implemented. Firstly, the semi-Lagrangian implicit integration method is used to quickly solve the shallow water equation under the premise of conservation of momentum and volume, which achieves real-time and stable simulation calculation of flood evolution. Secondly, a warning rule for building flood disaster crisis is proposed by changing the color of building to show the crisis level when flood is developing. Finally, an interactive large-scale flood simulation system is established, which contains functions such as adding baffle to show the area’s flood control and the effect of flood discharge caused by adding inlet and outlet, time-varying water level display of buildings and so on. The results of simulation experiment on the urban elevation data collected by us show that the system will provide an intuitive and reliable basis for the decision-making design of flood control and disaster reduction in the construction of a modern sponge city.

Джойсовская традиция романа В. Пелевина «Empire “V”»: от антисциентизма к изобретению нового персонажа

The article examines how Joyce’s detached attitude to progress in the novel Ulysses transforms into the parody-comic anti-scientism of Victor Pelevin’s novel Empire ‘V’. The Russian author not only refuses to recognize positive ontology as of scientific mood but also reduces its mission only to the destruction of reality and return to the basic intuition. The paper proves that Joyce’s methods of splitting the consciousness of the one acquiring scientific knowledge (cognizer) are rethought by Pelevin as the cognizer’s consciousness multiplied to infinity, which produces a subjective multiple reality, turning into a hypertext. Therefore, Pelevin turns Joyce’s hypostatized elements into independent agents, being characters of a new type. These characters are faced with the question of their real / possible existence in a subjective multiple reality. Thus, these new characters are interpreted within the framework of the subject-object antinomy, as fiction proceeds from subject-object relations. The paper aims to determine the influence of the Joycean principle of splitting subjective consciousness in Ulysses on the creation by V. Pelevin of characters and ways of expressing the new type in Empire ‘V’. The subject of study is the features of the invention of the new-type characters as a tool for organizing fictional decisions in Pelevin’s novel Empire ‘V’. The paper is the first study to prove that the artistic method showing the split consciousness in the heroes of the Pelevin’s novel directly develops Joyce’s epistemological tradition of the cognizer’s crisis, but in the era of weird-philosophy. The main research techniques employed: comparative method, historical and cultural contextualization, discourse analysis.

Component Analysis and Identification Model of Ancient Glass Products Based on Correlation Analysis

To help ancient glass products to analyze and identify their components, this paper establishes a comprehensive evaluation model to help identify and analyze ancient glass products and their components, and classifies them according to the data, so as to clarify the correlation and sensitivity between their chemical elements. First, this paper makes a simple classification of the data, and then calculates several factors that account for a large proportion of the weight through principal component analysis (PCA). By reducing the dimension of data, the variables are reduced, making the classification basis more intuitive; At the same time, the factors that account for a large proportion of the main factors can be used as the intuitive basis for the division of subcategories. Finally, K-Means is used to further confirm the rationality and sensitivity of the relationship between specific factors and cultural relics.