bluuebunny/crossref_metadata_2025 huggingface dataset:
Gallic acid induces T-helper-1-like Treg cells and strengthens immune checkpoint blockade efficacy
Authors: Deng Biaolong , Yang Biaolong , Chen Jieqiong , Wang Shuaiwei , Zhang Weiqi , Guo Yixian , Han Yichao , Li Hecheng , Dang Yongjun , Yuan Yaqin , Dai Xueyu , Zang Yuansheng , Li Yangyang , Li Bin
Published: July 2022

Background

Foxp3+ regulatory T (Treg) cells facilitate tumor immune evasion by forming a suppressive tumor microenvironment. Therefore, immune therapies promoting Treg fragility may greatly enhance immune checkpoint blockade (ICB) efficacy in cancers.

Methods

We have screened 2640 compounds and identified the gut microbial metabolite gallic acid, which promotes Foxp3 degradation and Treg instability by repressing Usp21 gene transcription. In vivo and in vitro experiments have been performed to explore the roles of Usp21 in Treg cells. Importantly, we treated tumor-bearing mice with gallic acid and anti-PD-1 antibody to explore the potential therapeutic value of gallic acid in clinical cancer immunotherapy.

Results

Mechanistically, gallic acid prevents STAT3 phosphorylation and the binding of phosphorylated STAT3 to Usp21 gene promoter. The deubiquitinated Usp21 and stabilized PD-L1 proteins boost the function of Treg cells. Combination of gallic acid and anti-PD-1 antibody, in colorectal cancer (CRC) treatment, not only significantly dampen Treg cell function by impairing PD-L1/PD-1 signaling and downregulating Foxp3 stability, but also promote CD8+ T cells’ production of IFN-γ and limited tumor growth.

Conclusion

Our findings have implications for improving the efficacy of ICB therapy in CRC by inducing T-helper-1-like Foxp3lo Treg cells.
New model of shear modulus degradation and damping ratio curves for sensitive Canadian clays
Authors: Abdellaziz Mustapha , Karray Mourad , Chekired Mohamed , Delisle Marie-Christine , Locat Pascal , Ledoux Catherine , Mompin Remi
Published: July 2022

This study investigated a new predictive model of the shear modulus reduction ([Formula: see text]) and damping ratio ( ξ − Log ( γ c )) curves for sensitive eastern Canada clays. The model was established based on experimental measurements of [Formula: see text] and ξ performed on 69 sensitive clay specimens from eastern Canada. The compiled database was first analyzed to qualitatively assess the influences of different soil parameters on the measurements. Next, statistical analyses using regression analysis and the modified hyperbolic model were performed. It was found that the [Formula: see text] and ξ values of sensitive eastern Canada clays were influenced mainly by the plasticity index ( I p ), mean effective stress [Formula: see text], and structure, which was quantified by the liquidity index ( I L ). Based on the statistical analysis performed, new equations for [Formula: see text] and ξ were proposed. The newly proposed model was compared with previously published models. The comparison clearly showed that the proposed model was more representative of sensitive eastern Canada clays. Consequently, it is suggested that the proposed model is more appropriate for use in the dynamic analysis of sensitive eastern Canada clay deposits as well as other similar soils.
In-medium hadronization of heavy quarks and its effect on charmed meson and baryon distributions in heavy-ion collisions
Authors: Beraudo Andrea , De Pace Arturo , Monteno Marco , Nardi Marzia , Prino Francesco
Published: July 2022

We present a new model for the description of heavy-quark hadronization in relativistic heavy-ion collisions in the presence of a reservoir of lighter thermal particles with which recombination can occur leading to the formation of color-singlet clusters. Color neutralization is assumed to occur locally, within the same fluid cell occupied by the heavy quark and it proceeds via the recombination of the latter with light antiquarks (quarks) or diquarks (anti-diquarks), which are assumed to be present in the medium with thermal abundance as effective degrees of freedom around the QCD crossover temperature $$T_c$$

T
c

. Typically the resulting color-singlet clusters have quite low invariant mass, in most of the cases below 4 GeV, and in this case they are assumed to undergo an isotropic 2-body decay in their local rest-frame. Heavier clusters are instead fragmented as Lund strings. The possibility of recombination with light diquarks enhances the yields of charmed baryons, in qualitative agreement with recent measurements. The assumption of local color neutralization leads to a strong space-momentum correlation, which provides a substantial enhancement of the collective flow of the final-state charmed hadrons, affecting both their momentum and their angular distributions.
Construction of a traversable wormhole from a suitable embedding function
Authors: Rueda A. , Avalos R. , Contreras E.
Published: July 2022

In this work, we construct a traversable wormhole by providing a suitable embedding function ensuring the fulfilling of the flaring-out condition. The solution contains free parameters that are reduced through the study of the acceptable conditions of a traversable wormhole. We compute both the quantifier of exotic matter and the quasi-normal modes through the 13th order WKB as a function of the remaining free parameters. We obtain that the wormhole geometry can be sustained by a finite amount of exotic matter and seems to be stable under scalar perturbations.
MPEG column: 130th MPEG meeting (virtual/online)
Authors: Timmerer Christian
Published: July 2022

The 130th MPEG meeting concluded on April 24, 2020, in Alpbach, Austria … well, not exactly, unfortunately. The 130th MPEG meeting concluded on April 24, 2020, but not in Alpbach, Austria.
MediaEval multimedia evaluation benchmark
Authors: Constantin Mihai Gabriel , Hicks Steven , Larson Martha , Nguyen Ngoc-Thanh
Published: July 2022

MediaEval is a benchmarking initiative that offers challenges in multimedia retrieval, analysis and exploration. The tasks offered by MediaEval concentrate specifically on the human and social aspects of multimedia. They encourage researchers to bring together multiple modalities (visual, text, audio) and to think in terms of systems that serve users. Our larger aim is to promote reproducible research that makes multimedia a positive force for society. In order to provide an impression of the topical scope of MediaEval, we describe a few examples of typical tasks.
nteract
Authors: Bertini Marco , Lux Mathias
Published: July 2022

Writing source code for programs with lightweight text editors or fully featured integrated development environments is considered the main method of programming. Notebooks, however, are an extremely practical tool. In contrast to IDEs, projects are set up more easily and they allow for running programs in a read-eval-print loop (REPL) environment. The Jupyter Notebooks Quick Start Guide [1] describes notebook documents as "… both human-readable documents containing the analysis description and the results (figures, tables, etc..) as well as executable documents which can be run to perform data analysis." Basically, markdown text can be mixed with program source code in a sequence of sections, each dedicated to either programming or description and documentation. Source code sections can be executed and the output is appended to the section, even formatted in the form of graphs, diagrams, or tables.

REPL and notebook based environments have proven to be useful in many scenarios including when exploring new libraries and frameworks, to prototype code, or as an educational tool to create interactive lecture material. A prominent example is Jupyter, which is the highly successful project behind Jupyter Notebooks and the recent JupyterLab, i.e. web-based systems to run and share notebooks that contain code, equations, data visualizations, and data exploration and narrative text.
Report from the MMM 2020 Special Session on Multimedia Datasets for Repeatable Experimentation (MDRE 2020)
Authors: Duane Aaron , Jónsson Björn 𐓄ór , Gurrin Cathal , Schöffmann Klaus
Published: July 2022

Information retrieval and multimedia content access have a long history of comparative evaluation, and many of the advances in the area over the past decade can be attributed to the availability of open datasets that support comparative and repeatable experimentation. Hence, sharing data and code to allow other researchers to replicate research results is needed in the multimedia modeling field, as it helps to improve the performance of systems and the reproducibility of published papers.

This report summarizes the special session on Multimedia Datasets for Repeatable Experimentation (MDRE 2020), which was organized at the 26th International Conference on MultiMedia Modeling (MMM 2020), held in January 2020 in Daejeon, South Korea.

The intent of these special sessions is to be a venue for releasing datasets to the multimedia community and discussing dataset related issues. The presentation mode in 2020 was to have short presentations (approximately 8 minutes), followed by a panel discussion moderated by Aaron Duane. In the following we summarize the special session, including its talks, questions, and discussions.
Open source for video games
Authors: Pirker Johanna , Bertini Marco , Lux Mathias
Published: July 2022

Open-source software is a relevant topic in video game development. Taking a look at the most frequently employed game engines for developing Android games [1] we can see that seven out of ten ranked engines are OSS. Over the last decade, more and more game studios and individual developers switched to open-source software. Oliver Franzke from Double Fine Productions described the phenomenon from his point of view at GDC Europe 2013 [2]. For him developing game engines from scratch is too costly, and re-using self-made game engines often involves too much repurposing as they were developed with one specific game in mind. Existing third-party game engines might not support all features needed, and requesting new features or APIs from the developers is a tedious effort. In contrast to that, an open-source game engine is typically stable, extendable, and - in the best case - has a lively community accepting patches and helping out problems. Best of all, if a bug in the game engine is found or a feature is needed, one can fix it and compile it instead of filing a bug report or feature request and hoping for the next release of the engine being in time for the release of the own project.

Epic Games was one of the first AAA game engine developers to publish the source code of their Unreal Engine [3] in 2015 to let game developers investigate critical parts and send in patches and file bug reports. However, they did not change their model to OSS. Amazon (with the Lumberyard engine), Unity, and Crytek (with the CryEngine) follow similar models, where the source code is available for developers, but no open-source license is used. Other prominent source code releases included the famous id Tech engines, which powered games like Doom and Quake, and the Serious Sam Engine from Croteam [4, 5]. In both cases, they were made available GPL license for historical and educational purposes and developers never released the most recent version of their engines.

These engines are not used only to develop games, but also to implement simulators that can be used to create datasets used in research, like CARLA [19] (a simulator for autonomous driving research) or UnrealCV [20], that are both based on Unreal Engine.
Immersive media experiences
Authors: Hameed Asim , Perkis Andrew , Timmerer Christian
Published: July 2022

An introduction to the QUALINET White Paper on Definitions of Immersive Media Experience (IMEx) [1].
Operando μ-Raman Measurement of Water Distribution Along and Across the Membrane in a Fuel Cell
Authors: Tran Thi B. H. , Huguet Patrice , Morin Arnaud , Robitzer Mike , Deabate Stefano
Published: July 2022

To obtain a fundamental understanding of the transport regimes governing the electrochemical behavior of the polymer electrolyte membrane fuel cell, the measurement of the membrane water content, along both directions parallel and perpendicular to the surface, is essential. In this paper, operando μ-Raman spectroscopy is used to probe the water content of the Nafion® membrane in the fuel cell (OCV around 1 V) working at constant stoichiometry and low relative humidity (20%). Water concentration profiles crossing the membrane thickness are obtained with μm resolution at different locations of the active surface: at the middle and close to the inlets/outlets of the reactants, at the feed gas channel and under-lands areas. The influence of the operating temperature and of the current density delivered by the cell are investigated. Of particular interest for perspective fuel cells, the membrane inner water partition appears highly heterogeneous when operating at ambient conditions, and dependent on the delivered current. The increase of temperature decreases the membrane water content at all the probed positions and induces a less uneven water distribution. The membrane hydration appears to be a key parameter for understanding the water redistribution between cathode and anode with the change of the cell operating conditions.
Kinetic Investigations of the Electrochemically Assisted Leaching of Metals for the Recycling of Photovoltaics
Authors: Modrzynski Christian , Bloh Jonathan Z. , Weidlich Claudia
Published: July 2022

To describe and predict the leaching of Ag, Cu and Sn from waste photovoltaic modules with an electrochemical-assisted process kinetic investigations were performed. In this process, peroxydisulfate is generated from sulfuric acid to oxidize metals. It was found that under the reaction conditions peroxymonosulfate is formed as well and has a major contribution to the leaching process. For Ag, autocatalytic decomposition of the leaching reagents is determined to be a limiting step while for Sn passivation influences the process. The leaching is modeled for three different reaction types, a batch reaction, the reaction in a static H-cell with continuous generation of S₂O₈2− and a fed-batch reaction with an electrochemical flow cell for the production of peroxydisulfate.
Platinum on Oxidized Graphene Sheets: A Bifunctional Electrocatalyst for Hydrogen Oxidation Reaction and Methanol Oxidation Reaction
Authors: Parkash Anand , Kumar Raj , Abbasi Irfan Ahmed , Aurangzeb Junejo , Inam Muhammad Ali , Larik Rimsha , Khan Rizwan
Published: July 2022

Pt/Graphene has been prepared by polyol method using pre-functionalized graphene and Pt salt solution, hexachloroplatinic acid. Electrochemical studies of the Pt supported onto graphene showed improved performance for Hydrogen Oxidation Reaction (HOR) and Methanol Oxidation Reaction (MOR) compared to state-of-the-art Pt/C catalysts. A thermal treatment (Ar/H2, 100 °C, 3 h) applied to the catalysts improved the catalytic activity and stability of the Pt/Graphene catalyst showing an electrochemical surface area of 58 m2.g−1 and stability was found 3-fold higher than the Pt/C conventional catalyst. After 4,000 cycles, the cyclic voltammetry measurements showed that the Pt/Graphene catalyst lost only 20% of the Pt initial ECSA, whereas the degradations of Pt /C catalyst were quite high, showing 65% loss. The Pt/Graphene catalyst also exhibited higher performance in the methanol electrooxidation for the promotion of C–H breaking and COad tolerance and good stability. Due to the homogenous distribution of Pt particles on the graphene and the availability of these surfaces for hydrogen adsorption and desorption processes, Pt/Graphene was reported to have 2-fold greater electrochemical performance towards methanol oxidation than Pt/C. Additionally, the findings contribute to an improved mass movement in the catalyst layer. According to this research, the oxygenation groups and graphitization have a dual role in catalytic activity.
Mitochondrial stress responses in Duchenne muscular dystrophy: metabolic dysfunction or adaptive reprogramming?
Authors: Bellissimo Catherine A. , Garibotti Madison C. , Perry Christopher G. R.
Published: July 2022

Mitochondrial stress may be a secondary contributor to muscle weakness in inherited muscular dystrophies. Duchenne muscular dystrophy has received the majority of attention, whereby most discoveries suggest mitochondrial ATP synthesis may be reduced. However, not all studies support this finding. Furthermore, some studies have reported increased mitochondrial reactive oxygen species and propensity for permeability transition pore formation as an inducer of apoptosis, although divergent findings have also been described. A closer examination of the literature suggests the degree and direction of mitochondrial stress responses may depend on the progression of the disease, the muscle type examined, the mouse model used with regard to preclinical research, the precise metabolic pathways in consideration, and in some cases, the in vitro technique used to assess a given mitochondrial bioenergetic function. One intent of this review is to provide careful considerations for future experimental designs to resolve the heterogeneous nature of mitochondrial stress during the progression of Duchenne muscular dystrophy. Such considerations have implications for other muscular dystrophies as well which are addressed briefly herein. A renewed perspective of the term “mitochondrial dysfunction” is presented whereby stress responses might be re-explored in future investigations as direct contributors to myopathy versus an adaptive “reprogramming” intended to maintain homeostasis in the face of disease stressors themselves. In so doing, the prospective development of mitochondrial enhancement therapies can be driven by advances in perspectives as much as experimental approaches when resolving the precise relationships between mitochondrial remodeling and muscle weakness in Duchenne and, indeed, other muscular dystrophies.
An Analysis of Archive Digitization in the Context of Big Data
Authors: Xu Debin
Published: July 2022

With the advancement of technology and the accumulation of archival information resource data in the era of big data, making use of archival information resources to improve the archival service capability and promote intelligent archive management has become a pressing task for data resource management. Keeping the significance of archive management in consideration, this research focuses on the implementation of data mining technology in the archive information resource sharing platform by discussing the construction of the data mining model, which is based on explaining the ideas related to data mining. The functional modules and operational process of the data mining model are comprehensively examined in order to select and create archival information data sources. The process of preparing data mining models as well as the creation of the prediction and the profiling models are discussed to lay down the foundation of a data mining-based model for archival information resources. Furthermore, this study also provides a more effective scientific solution to achieve the goal of comprehensive development of archival information digitization.
Study on the Failure Mechanism of Strain Rockburst
Authors: Zhou Lichao , Wang Gang , Hu Rong , Liu Xiqi , Wang Dongxing , Song Leibo , Niu Yong
Published: July 2022

Among the factors affecting rock mass failure, the stress state has the greatest influence on the mechanical behavior of rock. The mechanical behavior of rock depends on the change of stress path, and the stress of rock mass is closely related to deformation and failure. In order to study the influence of surrounding rock stress state on the failure mode of surrounding rock, based on the theory of elastic mechanics and fracture mechanics, this paper analyzed the stress state of surrounding rock element and crack propagation of surrounding rock, and estimated the potential failure mode of surrounding rock in different areas of a phosphate mine in Yichang. The results showed that: the surrounding rock element is affected by the gradient stress, and a larger stress gradient corresponds to a larger principal stress ratio and variation direction of the surrounding rock. The failure mode of surrounding rock is affected by the coupling effect of principal stress ratio and principal stress direction. Under the action of certain crack angle and appropriate confining pressure, different fracture mechanisms may occur in the surrounding rock compression. But the partition of surrounding rock failure mode region can predict the surrounding rock failure mode to a certain extent.
Multiview Latent Representation Learning with Feature Diversity for Clustering
Authors: Wang Sheng , Chen Liyong , Peng Furong
Published: July 2022

To analyze and manage data, multiple features are extracted for robust and accurate description. Taking account of the complementary nature of multiview data, it is urgent to find a low-dimensional compact representation by leveraging multiple views and generating a better performance for clustering. In this paper, we present multiview latent representation learning with feature diversity for clustering (MvLRFD). To get rid of noise and maintain the information of each view, matrix factorization is adopted to get the latent representation. For fusing the diverse latent representations, we argue that the final representation is constructed by concatenating the latent representation of each view. With the help of the Hilbert–Schmidt Independence Criterion (HSIC), the diversity of features in the final representation is maximized to exploit the complementary information. A new coregularization strategy is introduced to maximize the distance between the similarity between data of the final representation and the latent one. The partition entropy regularization is adopted to control the uniformity level of the value of the similarity matrix and the weight of each view. To verify the availability of MvLRFD compared to state-of-the-art algorithms, several experiments are conducted on four real datasets.
Improvement and Optimization of a 3D Reconstruction Algorithm for SEM Images of Porous Materials
Authors: Cheng Cheng , Dai Ning , Tang Tao
Published: July 2022

Porous materials have become increasingly common in people’s daily lives as the industry has advanced. Porous materials have numerous applications in the petroleum and chemical industries, as well as in everyday life. The study of diffusion, thermal conductivity, and percolation properties of porous materials has an important engineering application background and scientific value. The microstructure of materials affects their properties and attributes, so the description and visualization of the microstructure of porous materials is of great importance in the study of materials science. Due to the specificity of the internal structure of porous materials, many scenarios require 3-dimensional reconstruction of porous materials in practical engineering. In order to improve the effect of 3-dimensional reconstruction of porous materials, a 3D reconstruction method based on the improved generative adversarial neural network (GAN) is proposed in this paper for SEM images of porous materials. First, scanning electron microscope (SEM) images of porous materials are acquired, and then the acquired SEM images are preprocessed, including denoising and determining the boundary. Second, an improved GAN-based image super-resolution reconstruction model (ISRGAN) is used, and then the preprocessed images are fed into the ISRGAN model for training. Thus, multiple intermediate layer images are generated. Third, the 3D reconstruction of the intermediate layer images is performed using the slice combination method. The relationship between the unit cell pixels and the porosity is analyzed in the experiments to verify the effectiveness of the 3D reconstruction method used in this paper, and it is concluded that the porosity tends to be stable when the unit cell pixels converge to 110 and converge to the porosity of the real sample. The experimental results validate the feasibility and effectiveness of the method presented in this paper in the 3D reconstruction process.
lncRNA MEG3 Inhibits the Proliferation and Growth of Glioma Cells by Downregulating Bcl‐xL in the PI3K/Akt/NF‐κB Signal Pathway
Authors: Jia Haibo , Yan Xiaoxiao
Published: July 2022

This study was conducted to investigate the impact and mechanisms of lncRNA MEG3 on glioma cells. lncRNA MEG3 was lowly expressed in glioma cells as compared to noncancer cells. Overexpression of MEG3 significantly downregulated the expression of Bcl‐xL, slightly upregulated the expression of NF‐κB p65 and IκBα, and reduced the proliferation of glioma cells with increased apoptosis and the migration and invasion ability. Subsequently, glioma cells overexpressing MEG3 had less tumorgenicity in xenograft mouse models. It is likely that MEG3 induces apoptosis in glioma cells via downregulating the Bcl‐xL gene in the PI3K/Akt/NF‐κB signal pathway to reduce the development of glioma.
Design and Performance Evaluation of Dry-Mixed Cement Recycled Aggregate Pile
Authors: Shang Boming , Jin Feng , Rong Xuewen , Wang Shanjun , Zhang Qi , Wang Zhen , Yao Kang
Published: July 2022

In this paper, dry-mixed recycled cement concrete gravel (CCG) piles and dry-mixed cement macadam gravel (CMG) piles were analyzed. CCG and CMG were prepared by using recycled concrete aggregate (RCA) with different substitution rates, recycled macadam aggregate (RMA) from waste bricks and tiles, and fly ash, respectively. Mechanical properties, hydration heat release performance, and frost resistance were used as evaluation factors. The compressive strength, hydration heat, relative dynamic elastic modulus, and mass loss rate were tested. Based on the requirements of subgrade reinforcement on the material strength, hydration heat release, and frost resistance of dry-mixed CRA piles, TOPSIS analysis method was used to conduct a comprehensive evaluation. The results show that the mechanical properties and frost resistance of CCG and CMG gradually deteriorate with the increase of RCA and RMA replacement rates. At the same time, the hydration heat release of CCG and CMG increases with the increase of the replacement rate. The fly ash instead of cement can improve the compressive strength and frost resistance of CCG and CMG and reduce the hydration heat and material cost. When the CCG replacement rate reaches 20%, the CCG composite score of 20% fly ash is higher than that of traditional dry-mixed cement gravel pile and has better comprehensive performance.
Vulnerability Evaluation and Improvement Method of Civil Aviation Navigation Network
Authors: Gong Tingyu , Han Songchen , Yang Kunshan
Published: July 2022

Due to events such as natural disasters and navigation equipment failures, enormous calamity may be caused by the interruption of the navigation network which is a guarantee for the flight safety of civil aviation aircraft. The navigation network consists of the navigation stations as nodes and the routes between them as edges. Different nodes have different effects on the vulnerability of the network due to their different abilities to maintain the stability of the network topology and the normal function of the network. To quantify this difference and identify key nodes that have a greater impact on the vulnerability of the navigation network, an indicator to assess the importance of a navigation station is proposed which combines the structural importance reflected by node topology centrality and functional importance reflected by node weight. The structural importance of a node corresponds to its topology features including local dominance of the node and its global influence, and the important contribution to both adjacent and nonadjacent nodes from this node, while the functional importance is indicated by the flight flow serviced by the node during a fixed period of time. Vulnerability evaluation shows that the navigation network is more vulnerable when subject to the intentional attack of nodes with higher comprehensive node importance than an intentional attack of nodes with a larger value of indicators used in previous literature. Finally, the vulnerability of the navigation network is improved through changing the topology of the most critical node and balancing the node importance of the whole network.
Pharmacological Approaches to Decelerate Aging: A Promising Path
Authors: Hassani Bahareh , Goshtasbi Ghazal , Nooraddini Shirin , Firouzabadi Negar
Published: July 2022

Biological aging or senescence is a course in which cellular function decreases over a period of time and is a consequence of altered signaling mechanisms that are triggered in stressed cells leading to cell damage. Aging is among the principal risk factors for many chronic illnesses such as cancer, cardiovascular disorders, and neurodegenerative diseases. Taking this into account, targeting fundamental aging mechanisms therapeutically may effectively impact numerous chronic illnesses. Selecting ideal therapeutic options in order to hinder the process of aging and decelerate the progression of age-related diseases is valuable. Along therapeutic options, life style modifications may well render the process of aging. The process of aging is affected by alteration in many cellular and signaling pathways amid which mTOR, SIRT1, and AMPK pathways are the most emphasized. Herein, we have discussed the mechanisms of aging focusing mainly on the mentioned pathways as well as the role of inflammation and autophagy in aging. Moreover, drugs and natural products with antiaging properties are discussed in detail.
Birds of a Feather Flock Together: Generating Pornographic and Gambling Domain Names Based on Character Composition Similarity
Authors: Cheng Yanan , Jiang Hao , Zhang Zhaoxin , Du Yuejin , Chai Tingting
Published: July 2022

Cybercriminals often register many pornographic or gambling domains (known as abusive domains) with similar character compositions in bulk to reduce their investment in buying domains and make it easier for clients to remember and spread them. Therefore, this study combines the ideas of text similarity and text generation and proposes an abusive domain generation model based on GRU for rapidly generating new abusive domain names from known ones. Additionally, we develop a two-layer detection system for pornography and gambling domains using fastText and CNN models to obtain an abusive domain dataset for model training and validation. In the end, our detection system identifies pornographic and gambling domains with 99% precision while balancing correctness and speed. By inputting 40,000 random keywords into the abusive domain generation model, we obtained 130,220 online domains that served web pages, of which about 66% were pornographic or gambling domains. The results show that by exploiting cybercriminals’ behaviors in registering abusive domain names, such as bulk registration of similar domain names, we can prospectively acquire a large number of new abusive domains based on known ones. This study demonstrates that predicting new abusive domains not only expands the domain blacklist but also allows researchers to target the generated suspicious domains and dispose of them in time before they show abusive behavior.
Research on Legal Constraints of Individual Environmental Data Rights and Interests in Big Data Environment
Authors: Xiao Yineng
Published: July 2022

Due to the practical needs, the lack of legal protection, and the lack of attention to these three factors under the existing legal framework of personality rights, these factors together determine the necessity of the establishment of personal information rights. As an emerging right of scientific and technological progress and big data application, how to define the right ownership, right object, and right content of personal information right in theory? Firstly, starting from the theory, this article summarizes the opinions and controversies of the academic circles on the relevant issues and tries to expound its own understanding and views on the basis of comprehensive evaluation. Combined with the introduction to the relevant cases, on the basis of theoretical research, I tried to analyze how to determine the constituent elements of the legal relationship of personal information right in judicial practice, so as to make the theoretical research and judicial practice closely combined. In addition, this article also lists and analyzes the legislative status quo of personal information right protection in twelve countries and regions and expounds three main issues in the legal relationship of personal information right under the background of big data from two aspects of theory and practice: (1) the definition of the scope of personal information; (2) subject identification under the application of network data; (3) a new understanding of the content of personal information right. The conclusion of this article has certain practical significance.
Solution to a Damped Duffing Equation Using He’s Frequency Approach
Authors: Salas Alvaro H. S. , Altamirano Gilder-Cieza , Sánchez-Chero Manuel
Published: July 2022

In this paper, we generalize He’s frequency approach for solving the damped Duffing equation by introducing a time varying amplitude. We also solve this equation by means of the homotopy method and the Lindstedt–Poincaré method. High accurate formulas for approximating the Jacobi elliptic function cn are formally derived using Chebyshev and Pade approximation techniques.
Cubic Planar Graph and Its Application to Road Network
Authors: Muhiuddin G. , Hameed Saira , Rasheed Ayman , Ahmad Uzma
Published: July 2022

In this research article, we present the notion of a cubic planar graph and investigate its related properties. The cubic graphs are more effective than both interval-valued and fuzzy graphs as it represents the level of participation (membership degree) of vertices and edges both in interval form and as a fuzzy number. Moreover, it handles the uncertainty and vagueness more efficiently than both interval-valued fuzzy graph and fuzzy graph. The interval indicates a continuous process, whereas the point indicates a specific process. We introduce the terms cubic multigraph, cubic strong and weak edges, and degree of planarity for cubic planar graphs. Some fundamental theorems based on these concepts are also elaborated. We also propose the idea of a cubic strong and weak fuzzy faces and cubic dual graph. Some results related to these concepts are also established. Comparison with the existing method shows the worth of our proposed work.
Salinity Stress Response of Rice (Oryza sativa L. cv. Luem Pua) Calli and Seedlings
Authors: Taratima Worasitikulya , Chomarsa Titirat , Maneerattanarungroj Pitakpong
Published: July 2022

Soil salinity limits plant growth and production. This research investigated a suitable medium for callus induction and plantlet regeneration in the Luem Pua rice cultivar. The effect of salt stress on seedling growth was determined using in vitro culture and soil conditions. An efficient protocol for callus induction has been developed by culture sterilized seeds on the Murashige and Skoog (MS, 1962) medium containing 0.5 mg/l benzyladenine (BA) with 1 mg/l 2,4-dichlorophenoxyacetic acid (2,4-D) that resulted in a 100% callus induction. Plantlet regeneration percentage of 49% was recorded on the MS medium containing 4 mg/l BA with 0.5 mg/l 1-naphthaleneacetic acid (NAA) after 4 weeks. For salt stress investigation, the calli were treated on an induction medium containing various concentrations of NaCl (0, 50, 100, 150, and 200 mM), while two-week-old rice seedlings were planted in soil and treated with the same concentration of NaCl for 4 weeks. In vitro culture revealed that callus survival percentage decreased when NaCl concentration increased, similar to soil culture. Seedling growth under salinity treatment also decreased when NaCl concentration increased, while other physiological parameters such as total chlorophyll, chlorophyll a, chlorophyll b, green intensity, and chlorophyll fluorescence under light conditions increased under salinity stress. These changes define the growth and physiological salinity tolerance characteristics of Luem Pua rice calli and seedlings. They can be utilized as a baseline for demand-driven in vitro rice propagation, providing useful information that can be combined with other agronomic features in rice development or breeding programs to improve the flexibility of abiotic stress-tolerant cultivars.
Visual Art Design of Digital Works Guided by Big Data
Authors: Cheng Bin
Published: July 2022

With the rapid development of digital technology, the development speed of digital media is also relatively fast. Digital media technology has a great impact on people’s lifestyles and aesthetic concepts, and it also has a greater impact on visual art, creative thinking communication methods, and expression methods. In this study, the quality enhancement of digital images has been intensively studied based on the guidance of big data of eye-movement gaze points. A large amount of visual data are collected from public social resources, and the optimization research of image sensory quality is carried out in-depth using the acquired big data. Next, the region of interest (ROI) is obtained by combining the data with a two-dimensional Gaussian distribution model-fitting method, and the obtained data clustered and improved based on the K-means clustering algorithm to obtain ROI fixation points. Finally, discontinuities in the choice of sharpness in graphics and video playback are pointed out, and the final fixation data analysis is utilized. Results show that targeted optimization is very effective in improving the quality of digital images and saving space, enabling users to enjoy higher-quality visual digital images. The proposed method can be used to improve the dynamic resolution of images and videos.
A Study on the Effect of the Club Model on the Effectiveness of College Volleyball Teaching Based on a Random Matrix Model
Authors: Leng Shuai , Shao Mingjiao
Published: July 2022

This paper constructs a random matrix-based teaching evaluation model for college volleyball clubs and deeply investigates the impact of a random matrix-based teaching evaluation model for college volleyball clubs on the effectiveness of college volleyball teaching. Based on random matrix theory (RMT), we analyze the data characteristics according to the single ring law. By introducing matrix Stein pairs, combined with the Laplace transform method, some concentration inequalities of random matrices are proved, and these inequalities play a very important role in the study of eigenvalues of random matrices. The random matrix model was used to analyze the changes brought by the club-based curriculum teaching to students’ physical quality, and a random matrix-based assessment model of college volleyball club teaching was proposed. The model fit test and independence test were conducted using IBM SPSS Statistics 20 software, and an online survey in the form of Questionnaire Star platform was used to map the correlation between college volleyball education and club-based teaching reform with X college physical education students as the research subjects, to provide more scientific theoretical guidance for the influence of club-based teaching mode of physical education courses on the physical quality of college students.
Correlation between Blood Oxygen Level-Dependent Magnetic Resonance Imaging Images and Prognosis of Patients with Multicenter Diabetic Nephropathy on account of Artificial Intelligence Segmentation Algorithm
Authors: Zhang Yifan , Wang Xiaohan , Lin Zhaoyu , Shao Guojian , Wang Renban , Xie Zhoutao
Published: July 2022

This study was aimed to analyze the correlation between blood oxygen level-dependent magnetic resonance imaging (BOLD-MRI) images and prognosis of patients with diabetic nephropathy (DN) based on artificial intelligence (AI) segmentation algorithm, so as to provide references for diagnosis and treatment as well as prognosis analysis of patients DN. In this study, a kernel function-based fuzzy C-means algorithm (KFCM) model was proposed, and the FCM algorithm based on neighborhood pixel information (BCFCM) and the FCM algorithm based on efficiency improvement (EnFCM) were introduced for comparison to analyze the image segmentation effects of three algorithms. The results showed that the partition coefficient (Vpc) and partition entropy (Vpe) of the KFCM algorithm were 0.801 and 0.602, respectively, which were better than those of the traditional FCM, BCFCM, and EnFCM algorithm. At the same time, the effects of correlation between renal cortex R2

∗

(RC-R2

∗

), renal medulla R2

∗

(RM-R2

∗

), renal cortex D (RC-D), renal medulla D (RM-D) and renal function on the prognosis were compared. The results showed that the correlation coefficients between RC-R2

∗

, RM-R2

∗

, RC-D, RM-D and renal function were 0.57, 0.62, 0.49, and 0.38, respectively; among them, RC-R2

∗

and RM-R2

∗

were negatively correlated to the estimated glomerular filtration rate (eGFR), and the difference between the groups was statistically significant (P <0.05). Among the factors affecting the prognosis of DN patients, the GFR, hemoglobin (Hb), RC-R2

∗

, RM-R2

∗

, and RC-D were all related to the prognosis of DN, and the difference between groups was statistically obvious (P <0.05). It suggested that the KFCM algorithm proposed in this study showed the relatively best segmentation effect on BOLD-MRI images for DN patients; an increase in R2

∗

indicated a poor prognosis, and an increase in the RC-D value indicated a better prognosis.
Explore the Therapeutic Composition and Mechanism of Schisandra chinensis-Acorus tatarinowii Schott on Alzheimer’s Disease by Using an Integrated Approach on Chemical Profile, Network Pharmacology, and UPLC-QTOF/MS-Based Metabolomics Analysis
Authors: Chen Jian , Hao WenQian , Zhang Chengqin , Cui MeiRong , Sun Yue , Zhang Ying , Wang Jing , Mou TingTing , Gu Shuo , Zhao TianTian , Wei Binbin
Published: July 2022

Background. Alzheimer’s disease places a heavy economic burden to healthcare systems around the world. However, the effective treatments are still lacking. Traditional Chinese medicines (TCM) of Schisandra chinensis and Acorus tatarinowii Schott have the pharmacological effects of sedation and neuroprotection and have been clinically proven to be effective in the treatment of AD. However, their main anti-Alzheimer’s compounds and functional mechanisms remain unclear. Purpose. To elucidate the main therapeutic components and possible mechanisms of Sc-At in AD using a comprehensive strategy combining metabolomics and network pharmacology. Methods. First, the UPLC-QTOF/MS method was used to identify the main chemical constituents of Schisandra chinensis and Acorus tatarinowii Schott alcohol extracts in vitro and in vivo. Secondly, the theoretical active ingredients, targets, and pathways of Sc-At for AD treatment were predicted by network pharmacology methods. Finally, plasma metabolomics were detected by UPLC-QTOF/MS to analyze the differential metabolites and metabolic pathways related to Sc-At. Based on the analyses above, the anti-AD mechanism of Sc-At was explored. Results. A total of 95 chemical components were identified in Sc-At extracts in vitro, and 34 prototype drug components were detected in rat plasma; network pharmacology screening identified 14 drug components in line with the principle of Lipinski, of which 10 were present for in vitro drug composition analysis. For these 10 components, 58 AD disease targets were predicted, and 85 AD-related KEGG signaling pathways were enriched. Six core biomarkers of Sc-At (cis-8,11,14,17-eicosatetraenoic acid, prostaglandin H2, sphingosine 1-phosphate, enol-phenylpyruvate, 3-methoxytyrosine, and pristanoyl-CoA) were regulated to a normal state during the treatment of AD. Conclusion. The mechanism of Sc-At for the treatment of AD can be achieved by the effect of the 10 compounds of Sc-At on TNF, MAPK8, MAPK14, PTGS1, and other targets, thereby affecting arachidonic acid metabolism, neurotransmitters, and sphingolipid metabolism.
[Retracted] Electroacupuncture at Zusanli (ST36), Guanyuan (CV4), and Qihai (CV6) Acupoints Regulates Immune Function in Patients with Sepsis via the PD‐1 Pathway
Authors: Yang Guang , Zheng BoJun , Yu Yi , Huang Jing , Zhu HongFa , Deng DingWei , Li Jian
Published: July 2022

Objective. The present study is aimed at investigating the biochemical and clinical effects of electroacupuncture in patients with sepsis. Methods. Patients with sepsis treated at Guangdong Provincial Hospital of Chinese Medicine from July 2019 to December 2020 were included. Patients were randomly assigned to treatment with routine Western medicine (WM group) or treatment with Western medicine plus electroacupuncture based on Western medicine (EA group). Indices associated with immune function and clinical efficacy were determined before and at 3 and 5 days after treatment. Indicators of immune function included the percentage of T lymphocyte subsets, natural killer (NK) cells, and soluble programmed death protein 1 (sPD‐1) levels. Indicators of clinical efficacy included infection‐related indicators in whole blood; levels of tumor necrosis factor‐α (TNF‐α), C‐reactive protein (CRP), and interferon‐γ (INF‐γ); and assessments using acute physiology and chronic health evaluation‐II (APACHE‐II) and sequential organ failure assessment (SOFA) scores. Results. Baseline data were not different between WM (N = 30) and EA groups (N = 30). At day 5 following treatment, the level of sPD‐1 in the EA group was lower than that in the WM group. Proportions of CD3 + T lymphocytes, CD4 + T lymphocytes, and NK cells, the percentage of lymphocytes, and INF‐γ levels in the EA group were significantly higher than those in the WM group. Compared with the WM group, the white blood cell count (WBC), percentage and count of neutrophils, ratio of neutrophils to lymphocytes, and levels of CRP and TNF‐α were significantly decreased in the EA group 5 days after treatment. The APACHE‐II score of the EA group was significantly lower than that of the WM group 5 days after treatment. Conclusion. Electroacupuncture may regulate the immune function of patients with sepsis through the PD‐1 pathway to achieve an anti‐inflammatory state and improve clinical symptoms.
Durability Studies on Fly Ash Based Geopolymer Concrete Incorporated with Slag and Alkali Solutions
Authors: Nagajothi S. , Elavenil S. , Angalaeswari S. , Natrayan L. , Mammo Wubishet Degife
Published: July 2022

This study explores the durability of green cementitious material of geopolymer concrete. Geopolymer concrete is produced from the polycondensation reaction of aluminosilicate materials (fly ash, Ground Granulated Blast furnace Slag (GGBS)) with alkaline activator solutions. Geopolymer concrete has excellent mechanical properties and its production requires low energy and results in low levels of CO2 emission. Due to the high demand for river sand, manufactured sand is used as a replacement material in geopolymer concrete under ambient curing conditions. In this study, the durability of G30 grade geopolymer concrete has been investigated using tests acid resistance, water absorption, sulphate resistance, Rapid Chloride Penetration Test (RCPT), and rate of absorption (Sorptivity) test. The sulphuric acid, sodium sulphate, and water absorption tests were carried out at 28 days, 56 days, and 90 days for both the geopolymer and the conventional concrete. The reduction percentage in water absorption and compressive strength loss was found to be better in geopolymer concrete than in conventional concrete. Geopolymer concrete’s chloride penetrability and rate of absorption were analogous to conventional concrete. Regression analysis for geopolymer and conventional concretes in the rate of absorption test showed a good relationship between absorption and the square root of time.