Basic Features Research Articles

Innovations and Future Development Pathways of Internet Finance Asset Securitization in China: A Case Study of Ant Group

With the evolution of the Internet age, e-commerce giants have established small loan entities to accommodate the booming B2C business model. While these online small loan providers retain the traditional attributes of their counterparts, they are adept at addressing the financing needs of micro-enterprises and individuals. Furthermore, these digital lenders have a broader reach in terms of geography and demographic distribution and possess enhanced capabilities to assess borrowers' creditworthiness. Such strengths make them well-suited for asset securitization, an emerging financing approach. This paper will analyze China International Capital Corporation -Ant Financial special asset management program which is one of the important asset securitizations of Internet small loan in China. The analysis will focus on the basic features and innovations of the structure of the securities. In addition, various economic indicators of Ant Financial will be considered to analyze the effectiveness and risks of Ant asset securitization. This study provides both theoretical and practical insights into Ant Financial Services asset securitization. Moreover, the research has analyzed the reasons behind the suspension of Ant Group's IPO, its subsequent rectifications, as well as the future trends of internet finance in China, providing beneficial reference for other companies.

Political Economy in Early Modern China and Its Relevance to Contemporary China

ABSTRACT This article seeks to develop an understanding of the historical political economy of late imperial/early modern China, from the Song through the Qing dynasties, which recognizes its basic features as a distinctive Chinese form of commercial capitalism. Using defining characteristics of capitalism as set forth in Marx’s analysis of European, particularly English, capitalism, this article argues that the structures and functions of the late imperial Chinese economy, and the cultural inflections generated by that economy, constitute a historical form of capitalism clearly different in its details, but substantially embodying the key features of Western capitalism, such as commodity production, elaborate market mechanisms, credit and finance systems, a monetized system of exchange, and the extraction of surplus value from labor for accumulation by commercial actors in both the manufacturing and agricultural sectors. This is important not only for the correct identification of the late imperial/early modern Chinese system and for understanding the diversity of capitalist development outside the traditional Eurocentric framework, but also for its relevance to contemporary China’s project of socialist construction.

Perception of park environment and its impact on aesthetic evaluation

Abstract The synthesis of scientific works highlighted a fundamental difference in the methods and approaches used to investigate the aesthetic qualities of park environments involving respondents. A pivotal methodological question in studying the aesthetic qualities of park environments and their human perception lies in determining the research approach - whether natural or using substitutes such as photographs or virtual simulators. In the context of this study, an analysis was conducted to ascertain the correspondence between the perception of the park environment and the assessment of its aesthetic qualities under different survey conditions. The research established that the influence of park environment features on the aesthetic evaluation of landscapes significantly differs depending on the season and the method of research. Characteristics of the park environment noted by respondents, which are closely related to aesthetic evaluation, are positive associative features defining the overall psycho-emotional impression of the landscape. Seasonal changes in the park environment notably affect the perception of compositional characteristics, especially enhancing aesthetic evaluation during summer surveys conducted directly within the park boundaries. Substantial decrease in aesthetic evaluation is observed due to the mismatch between basic features and respondent preferences, a phenomenon independent of the research method employed.

Development of the Flappy Helicopter Game Using Scratch

The development of the Fruit Ninja game using Scratch is an innovative and educational project. By utilizing Scratch, this game development allows users to express their creativity in designing fruit characters, sound effects, and unique game mechanics. This process also provides a deep understanding of basic programming concepts such as logic, loops, branching, and variables, presented in an intuitive and easy-to-understand interface. Additionally, this game development involves in-depth analysis in designing game flow, score management, and difficulty levels, which can enhance users' analytical skills. Through the Scratch platform, users also have the opportunity to collaborate and share projects with the online community, receive feedback, and improve their skills. With a step-by-step approach, users can start with basic features and gradually add additional features to create a fun and educational game. This project combines creativity, programming learning, and community interaction to produce a beneficial and educational product.

Creating a Fruit Ninja Game for Kids Using SCRATCH Application

The development of the Fruit Ninja game using Scratch is an innovative and educational project. By utilizing Scratch, this game development allows users to express their creativity in designing fruit characters, sound effects, and unique game mechanics. This process also provides a deep understanding of basic programming concepts such as logic, loops, branching, and variables, presented in an intuitive and easy-to-understand interface. Additionally, this game development involves in-depth analysis in designing game flow, score management, and difficulty levels, which can enhance users' analytical skills. Through the Scratch platform, users also have the opportunity to collaborate and share projects with the online community, receive feedback, and improve their skills. With a step-by-step approach, users can start with basic features and gradually add additional features to create a fun and educational game. This project combines creativity, programming learning, and community interaction to produce a beneficial and educational product.

Basic cognitive features of the concept of SPORT in the minds of native speakers of modern Russian

Basic cognitive features of the concept of SPORT in the minds of native speakers of modern Russian

Investigation of the mineralogical composition and origin analysis of black jadeite

Abstract Analyzing black jadeite variety is helpful not only to distinguish black jadeite from the common omphacite jadeite, but also to learn the origin of jadeite by studying these special specimens. The basic gemological properties, mineral composition, structural characteristics, spectroscopic features, and color-causing mechanisms of black jadeite were studied through testing methods such as Polarizing microscope, X-ray diffraction, Fourier transform infrared spectroscopy, Raman spectroscopy. Recent studies have confirmed the distinct crystalloblastic textures of black jadeite—namely columnar, granular, and fibrous—alongside its characteristic fracture structures. This research further identifies the presence of secondary minerals, primarily opaque black impurities consisting of a graphite and disordered graphite mixture, as revealed by Raman spectroscopy and X-ray diffraction analyses. These analyses have elucidated that the variable distribution of graphite mixtures contributes to differing degrees of light absorption, thereby forming various shades of black, a critical factor in the gemstone’s coloration. This study suggests that these carbonaceous materials are a byproduct of the carbonization of organic matter within metamorphic fluids, subsequently forming dispersed graphite structures within the mineral matrix and its fractures, indicative of multi-stage metamorphic processes. Additionally, the identification of graphite supports the theory that jadeite’s protolith originated from the subduction processes of the Neotethys Ocean, accompanied by metasomatism and high-pressure metamorphism of olivinite.

Feeding Mechanisms of Pathogenic Protozoa with a Focus on Endocytosis and the Digestive Vacuole

Endocytosis is a quintessential feature of eukaryotes, and the emergence of endocytosis played a major role in the origin and evolution of eukaryotes. During the early evolution of eukaryotes, phagocytosis and the digestion of prey (i.e., bacteria) combined with the endocytosis of macromolecules opened a new source of nutrients beyond osmotrophy. Pathogenic and commensal protozoa have retained endocytosis as a major mechanism of nutrient acquisition even though, in theory, nutrients could be obtained from the host through osmotrophy. Nearly all pathogenic protozoa exhibit endocytosis and have lysosomal-like compartments that function as digestive vacuoles, and endocytosis appears to play a major role in the acquisition of nutrients. Cryptosporidium is a possible exception that may not exhibit endocytosis. Phagotrophy, however, is only observed in parasites of the intestinal lumen and appears to have been lost in blood and tissue parasites. Overall, the basic features of endocytosis and lysosomes are similar to other eukaryotes. Nonetheless, adaptation to the host has generated some novel features that are specific to certain protozoan lineages.

Fusion of Multiple Basic Element Features for Airborne LiDAR in-house Surveys

When using airborne LiDAR point clouds for city modelling and road extraction, point cloud classification is a crucial step. There are numerous ways for classifying point clouds, but there are still issues like redundant multi-dimensional feature vector data and poor point cloud classification in intricate situations. A point cloud classification method built on the fusing of multikernel feature vectors is suggested as a solution to these issues. The technique employs random forest to classify point cloud data by merging colour information, and it extracts feature vectors based on point primitives and object primitives, respectively. In this study, a densely populated area was chosen as the study area. Light airborne LIDAR mounted on a delta wing was used to collect point cloud data at a low altitude (170 m) over a dense cross-course. The point cloud data were then combined, corrected, and enhanced with texture data, and the houses were vectorized on the point cloud. The accuracy of the results was then assessed. With a median inaccuracy of 4.8 cm and a point cloud data collection rate of 83.3%, using airborne LIDAR to measure house corners can significantly lighten the labour associated with external house corner measurements.This test extracts the texture information of point cloud data through the efficient processing of high-density point cloud data, providing a reference for the application of texture information of airborne LIDAR data and a clear understanding of its accuracy.

Thrombotic Microangiopathy and acute kidney injury with malaria: One-year experience at SIUT

Acute Kidney Injury (AKI) may occur with malarial infection, falciparum and vivax species. AKI, anemia, jaundice and thrombocytopenia are documented associated findings. Thrombotic Microangiopathy (TMA) in relation with malarial AKI is less reported subject. Patients and Methods: Between January 2023 to December 2023, patients with diagnosis of malaria and developing AKI (according to KDOQI guidelines definition), who were brought to our institute, showing some clinical and basic laboratory features of TMA or shown delayed recovery were subjected to renal biopsy. Only those where histological diagnosis of TMA was confirmed were included in present study. Results: During last calendar year 17 adult patients fulfilled criteria of malaria, AKI and TMA, of these 15 (88%) were female. Malaria was caused by vivax species in 15 (88%), falciparum in one and one patient who arrived late here had report of malarial parasite seen in private laboratory, species was not mentioned. All had febrile illness, associated symptoms were oligo-anuria in 15(88%), vomiting 13 (76%), body aches 12(70%), and jaundice in 6 (35%). The mean age was 26.58±8.9 years, hemoglobin 7.84±1.78, urea 162.70±67.94, creatinine 8.06±4.69 and LDH 1434.05±925.36. Hemodialysis was required in 16 (94%) patients. After getting biopsy results plasma exchanges done in 15 (88%) patients. Complete recovery of renal function seen in 6 (35%), CKD in 7 (41%). Conclusion: TMA in association with malarial AKI is less reported in literature. Vivax malaria has shown devastating complications with this previously labelled “benign” species of plasmodium.

On Non-Native Listeners’ Ability to Identify Prominence and Pitch Accents in EnglishMonologic Speech

A comparative perceptual study involving two experimental groups with different native languages (Russian and Czech) shows that phonologically trained non-native speakers of English are good at identifying basic suprasegmental features of the English language, namely prominence (sentence stress) and accent types, which potentially makes it possible to use their prosodic annotations when validating cross-language intonation research. The occasional failure of both experimental groups to identify certain accent types is explained in the study by the annotators’ mother tongue’s prosodic interference: Czech and Russian speakers rely on different acoustic cues when identifying prosodic features in their native languages and transfer this habit to the discrimination of English prosodic characteristics. The study demonstrates that when a prosodic cue is not marked in the speaker’s mother tongue, it will likely be ignored in the foreign language.

외국인 중급 유학생의 한국어 음소 인식 및 철자 능력 분석 연구

This study aimed to explored the relationship between basic Korean literacy skills and Korean language proficiency among international students who are learning Korean in a university language institute. Participants’ basic Korean literacy skills were measured by a set of tests including phonemic awareness and spelling. One hundred and eight international students who attended intermediate level Korean language classes participated in this study. The results showed that there was a significant correlation between their basic Korean literacy and Korean language proficiency. In particular, notable correlations with Korean language procificency were observed for basic vowels and the diphthongs ㅑ (ya) and ㅘ (wa), which are integral components of phonemic awareness and spelling tests conducted in a one-syllable (CV) structure. Furthermore, participants’ average accuracy in phonemic awareness test was only 59.92% and the average accuracy in spelling test was 72.48%. Considering that the test items were constructed with basic phonetic features of Korean language and orthography, their Korean literacy skills were found to be pretty limited, which were comparable to the native first-graders in Korea. Authors also compared the basic Korean literacy test scores between two groups who passes language course and who failed the course. The findings revealed that the basic literacy skills of the failed group was significantly lower than that of the passed group, indicating that phonemic awaeness and spelling abilities may affect Korean language proficiency and academic achievements. Authors discussed that Korean literacy of the foreign Korean language students are in needs of atttention among educators and researchers

Metamodernism Unveiled: A Contemporary Aftereffect in Architecture

In the setting of ecology-based architectural design and post-postmodern sensibility, there's a deflection from the functional rationalism of modernism and the critical discourses of postmodernism, as we continue to create in the alleged Anthropocene era. This shift towards pragmatic societal idealism draws from diachronic oscillations and overlaps between past architectural paradigms. The study aims to research, adapt and discuss metamodernism, which has been previously studied in various disciplines, as an environmentally friendly and authentic after-effect in architecture. It employs a qualitative and exploratory research approach. The conceptual definition of metamodernism as a synthesis of dialectical perspective, is adapted to architecture using comparative content analysis. Metamodernism shares pluralism with postmodernism, but instead of fracturing it like deconstructivism, it seeks continuity as a hopeful opposition to modernism's strict normativity. The metamodern approach emphasizes atmospheric sensitivity, redefining the in-between. Using the analytical generalization technique through preliminary, preparatory and primary case studies, the basic features of metamodernism in architecture are compared on the design synthesis of form, context and program adhering to site-specific geographic and social contexts. It combines organic and artificial elements, addressing building mass, scale, and articulation while synthesizing sustainable, pluralistic programs that bridge the past and present through function, technology, and spatiotemporal organization, stimulating the atmospheric sensitivity. In an era marked by distinct sustainability and ecology concerns, designing with an atmospherically sensitive metamodernist tendency can affect the recognition and memorability of the contemporary architecture.

Implications of using simplified finite element meshes to identify material parameters of articular cartilage

The objective of this work was to determine the effects of using simplified finite element (FE) mesh geometry in the process of performing reverse iterative fitting to estimate cartilage material parameters from in situ indentation testing. Six bovine tibial osteochondral explants were indented with sequential 5 % step-strains followed by a 600 s hold while relaxation force was measured. Three sets of porous viscohyperelastic material parameters were estimated for each specimen using reverse iterative fitting of the indentation test with (1) 2D axisymmetric, (2) 3D idealized, and (3) 3D specimen-specific FE meshes. Variable material parameters were identified using the three different meshes, and there were no systematic differences, correlation to basic geometric features, nor distinct patterns of variation based on the type of mesh used. Implementing the three material parameter sets in a separate 3D FE model of 40 % compressive strain produced differences in von Mises stresses and pore pressures up to 25 % and 50 %, respectively. Accurate material parameters are crucial in any FE model, and parameter differences influenced by idealized assumptions in initial material property determination have the potential to alter subsequent FE models in unpredictable ways and hinder the interpretation of their results.

Study on the Psychological Impact of Interactive Video Immersion Experience on Viewers

With the advent of the information age, the form of information dissemination has gradually changed from text graphics to video, which can trigger two sensory experiences at the same time, and use visual and auditory systems to convey more information. For a time, this kind of video transmission has become an important channel for obtaining and exchanging information. Then, with the development of audio and video technology, interactive video began to appear in the public eye. The immersion of interactive video comes from the fusion of narrative and interaction. It is the basic feature of a good interactive video to use the language lens in the narrative and arouse the audience's thinking in the interaction.

Development of on-board power systems and the concept of a more electric aircraft

The article reviews the main stages of development of aircraft power systems. The basic features of the power node for the Mi-24 combat helicopter, a multi-tasking aircraft, are presented F-22 and the Boeing B-787 passenger airplane. The results of the analysis of methods for managing the distribution of electricity on both conventional aircraft and the most modern aircraft structures (A-380, B-787) are presented. The basic structures of the aircraft's on-board power network are presented, divided into three periods: the period until the 1960s (with the dominance of the direct current network with a voltage of 28.5 V), the period until 2000 (with the dominance of the three-phase alternating current network with a voltage of 3 x 115 V / 200 V, 400 Hz) and the most recent period, after 2000 (dominated by a 270 V direct current network, obtained by converting the voltage from a three-phase alternating current generator 3x 115 V / 200 V, 400 Hz using a transformer-rectifier block). The concept of a more electric aircraft was presented as the main direction of current construction works for MEA concept (More Electric Aircraft).

Historical Materialist Approach to Literature and Art

This article explores the basic features of the historical materialist approach to literature and art. It aims to highlight the core of this approach to literature and art and make a contrast to other approaches. The article addresses the research problems concerning the view of the historical materialist approach to the primacy of being or consciousness, the relationship of literature and art with the objective world, the free or class partisan literature and art, and the role of literature and art in changing the existing society. The research methodology adopted for this study is the review-based analysis of some of the major critiques of the historical materialist approach to literature and art. The researcher has included the critiques of Karl Marx, Frederick Engels, V.I. Lenin, and Mao Tsetung as they represent the founding figures of the approach and widely named this approach the Marxist approach too. The article reveals that the historical materialist approach views being as primary over consciousness, observes the literature and art as the reflection of the objective world, believes in the class partisan literature and art in a class-based society, and sees the prime utility of literature and art in bringing a radical change in society. The historical materialist approach favors the revolutionary literature and art that takes sides with the majority of working-class people, the revolutionary force of the future capable of establishing the scientific communist society.

BinVPR: Binary Neural Networks towards Real-Valued for Visual Place Recognition.

Visual Place Recognition (VPR) aims to determine whether a robot or visual navigation system locates in a previously visited place using visual information. It is an essential technology and challenging problem in computer vision and robotic communities. Recently, numerous works have demonstrated that the performance of Convolutional Neural Network (CNN)-based VPR is superior to that of traditional methods. However, with a huge number of parameters, large memory storage is necessary for these CNN models. It is a great challenge for mobile robot platforms equipped with limited resources. Fortunately, Binary Neural Networks (BNNs) can reduce memory consumption by converting weights and activation values from 32-bit into 1-bit. But current BNNs always suffer from gradients vanishing and a marked drop in accuracy. Therefore, this work proposed a BinVPR model to handle this issue. The solution is twofold. Firstly, a feature restoration strategy was explored to add features into the latter convolutional layers to further solve the gradient-vanishing problem during the training process. Moreover, we identified two principles to address gradient vanishing: restoring basic features and restoring basic features from higher to lower layers. Secondly, considering the marked drop in accuracy results from gradient mismatch during backpropagation, this work optimized the combination of binarized activation and binarized weight functions in the Larq framework, and the best combination was obtained. The performance of BinVPR was validated on public datasets. The experimental results show that it outperforms state-of-the-art BNN-based approaches and full-precision networks of AlexNet and ResNet in terms of both recognition accuracy and model size. It is worth mentioning that BinVPR achieves the same accuracy with only 1% and 4.6% model sizes of AlexNet and ResNet.

Construction and Ranking of Usability Indicators for Medical Websites Based on Website User Experience

In the era of digitalization, medical websites have rapidly expanded their healthcare market share due to their convenience. However, with this user-base expansion, issues with poor user experience have surfaced. To address this, we developed and ranked usability indicators for medical websites, aiming to improve their design and development from a user experience perspective, thereby improving user satisfaction and the website’s usability. Initially, we reviewed the relevant literature and summarized 30 usability indicators. Subsequently, we formed a Delphi panel of 20 experts and preliminarily identified 24 usability indicators through the Delphi survey method. Using data from 300 valid user surveys, we applied the Exploratory Factor Analysis (EFA) method to categorize these 24 indicators into four groups. Finally, we assessed the relative importance and priorities of these indicators using the Analytic Hierarchy Process (AHP) method. The results showed that, in terms of criterion layer weight priorities, Trust and Security (0.5494), Basic Performance (0.2710), and Features and Technology (0.1355) exhibited higher proportions. For the solution layer, Property Protection (0.1894), Credibility (0.1852), Privacy Protection (0.1194), Effectiveness (0.0932), and Findability (0.0579) exhibited higher weight proportions. The findings of this study will assist in future usability assessments and enhancements of medical websites. By optimizing the usability, we can both advance the digitalization of medical websites and improve the usability of medical websites, and enhance the service experience and satisfaction of your users.

Ethereum Phishing Scam Detection Based on Data Augmentation Method and Hybrid Graph Neural Network Model.

The rapid advancement of blockchain technology has fueled the prosperity of the cryptocurrency market. Unfortunately, it has also facilitated certain criminal activities, particularly the increasing issue of phishing scams on blockchain platforms such as Ethereum. Consequently, developing an efficient phishing detection system is critical for ensuring the security and reliability of cryptocurrency transactions. However, existing methods have shortcomings in dealing with sample imbalance and effective feature extraction. To address these issues, this study proposes an Ethereum phishing scam detection method based on DA-HGNN (Data Augmentation Method and Hybrid Graph Neural Network Model), validated by real Ethereum datasets to prove its effectiveness. Initially, basic node features consisting of 11 attributes were designed. This study applied a sliding window sampling method based on node transactions for data augmentation. Since phishing nodes often initiate numerous transactions, the augmented samples tended to balance. Subsequently, the Temporal Features Extraction Module employed Conv1D (One-Dimensional Convolutional neural network) and GRU-MHA (GRU-Multi-Head Attention) models to uncover intrinsic relationships between features from the time sequences and to mine adequate local features, culminating in the extraction of temporal features. The GAE (Graph Autoencoder) concept was then leveraged, with SAGEConv (Graph SAGE Convolution) as the encoder. In the SAGEConv reconstruction module, by reconstructing the relationships between transaction graph nodes, the structural features of the nodes were learned, obtaining reconstructed node embedding representations. Ultimately, phishing fraud nodes were further identified by integrating temporal features, basic features, and embedding representations. A real Ethereum dataset was collected for evaluation, and the DA-HGNN model achieved an AUC-ROC (Area Under the Receiver Operating Characteristic Curve) of 0.994, a Recall of 0.995, and an F1-score of 0.994, outperforming existing methods and baseline models.