bluuebunny/crossref_metadata_2025 huggingface dataset:
Evolutionary array optimization for multizone sound field reproduction
Authors: Zhao Sipei , Burnett Ian S.
Published: April 2022

Multizone sound field reproduction aims to generate personal sound zones in a shared space with multiple loudspeakers. Traditional multizone sound field reproduction methods have focused on optimizing the source strengths given a preset array configuration. Recently, however, various methods have explored optimization of the loudspeaker locations. These can be categorized into sparse regularization and iterative methods with existing studies based on numerical simulations and mostly aiming at single-zone sound field reproduction. In this paper, unique experiments compare the state-of-the-art loudspeaker placement optimization methods by selecting a smaller number of loudspeakers from the candidates uniformly placed along a circle. An evolutionary array optimization scheme is proposed and shown to outperform the best existing methods in terms of mean square error in the bright zone and acoustic contrast between the bright and dark zones at frequencies below 1 kHz. The proposed evolutionary optimization scheme is simple, flexible, and can be extended to broadband optimization and other cost functions.
Probing the nonequilibrium dynamics of stress, orientation, and entanglements in polymer melts with orthogonal interrupted shear simulations
Authors: Galvani Cunha Marco A. , Olmsted Peter D. , Robbins Mark O.
Published: April 2022

Both entangled and unentangled polymer melts exhibit stress overshoots when subject to shearing flow. The size of the overshoot depends on the applied shear rate and is related to relaxation mechanisms such as reptation, chain stretch, and convective constraint release. Previous experimental work shows that melts subjected to interrupted shear flows exhibit a smaller overshoot when sheared after partial relaxation. This has been shown to be consistent with predictions by constitutive models. Here, we report molecular dynamics simulations of interrupted shear of polymer melts where the shear flow after the relaxation stage is orthogonal to the originally applied flow. We observe that, for a given relaxation time, the size of the stress overshoot under orthogonal interrupted shear is larger than observed during parallel interrupted shear, which is not captured by constitutive models. Differences in maxima are also observed for overshoots in the first normal stress and chain end-to-end distance. We also show that measurements of the average number of entanglements per chain and average orientation at different scales along the chain are affected by the change in shear direction, leading to nonmonotonic relaxation of the off-diagonal components of orientation and an appearance of a “double peak” in the average number of entanglements during the transient. We propose that such complex behavior of entanglements is responsible for the increase in the overshoots of stress components and that models of the dynamics of entanglements might be improved upon by considering a tensorial measurement of entanglements that can be coupled to orientation.
A dominant function of LynB kinase in preventing autoimmunity
Authors: Brian Ben F. , Sauer Monica L. , Greene Joseph T. , Senevirathne S. Erandika , Lindstedt Anders J. , Funk Olivia L. , Ruis Brian L. , Ramirez Luis A. , Auger Jennifer L. , Swanson Whitney L. , Nunez Myra G. , Moriarity Branden S. , Lowell Clifford A. , Binstadt Bryce A. , Freedman Tanya S.
Published: April 2022

Here, we report that the LynB splice variant of the Src-family kinase Lyn exerts a dominant immunosuppressive function in vivo, whereas the LynA isoform is uniquely required to restrain autoimmunity in female mice. We used CRISPR-Cas9 gene editing to constrain
lyn
splicing and expression, generating single-isoform LynA knockout (LynA
KO
) or LynB
KO
mice. Autoimmune disease in total Lyn
KO
mice is characterized by production of antinuclear antibodies, glomerulonephritis, impaired B cell development, and overabundance of activated B cells and proinflammatory myeloid cells. Expression of LynA or LynB alone uncoupled the developmental phenotype from the autoimmune disease: B cell transitional populations were restored, but myeloid cells and differentiated B cells were dysregulated. These changes were isoform-specific, sexually dimorphic, and distinct from the complete Lyn
KO
. Despite the apparent differences in disease etiology and penetrance, loss of either LynA or LynB had the potential to induce severe autoimmune disease with parallels to human systemic lupus erythematosus (SLE).
Central memory T cells are the most effective precursors of resident memory T cells in human skin
Authors: Matos Tiago R. , Gehad Ahmed , Teague Jessica E. , Dyring-Andersen Beatrice , Benezeder Theresa , Dowlatshahi Mitra , Crouch Jack , Watanabe Yoshinori , O’Malley John T. , Kupper Thomas S. , Yang Chao , Watanabe Rei , Clark Rachael A.
Published: April 2022

The circulating precursor cells that give rise to human resident memory T cells (T
RM
) are poorly characterized. We used an in vitro differentiation system and human skin–grafted mice to study T
RM
generation from circulating human memory T cell subsets. In vitro T
RM
differentiation was associated with functional changes, including enhanced IL-17A production and FOXP3 expression in CD4
+
T cells and granzyme B production in CD8
+
T cells, changes that mirrored the phenotype of T cells in healthy human skin. Effector memory T cells (T
EM
) had the highest conversion rate to T
RM
in vitro and in vivo, but central memory T cells (T
CM
) persisted longer in the circulation, entered the skin in larger numbers, and generated increased numbers of T
RM
. In summary, T
CM
are highly efficient precursors of human skin T
RM
, a feature that may underlie their known association with effective long-term immunity.
Supplemental Material: An explosive volcanic origin identified for dark sand in Aeolis Dorsa, Mars
Authors: Burr Devon M. , al. et
Published: April 2022

(1) Methods, Figures S1–S3, and captions for additional supplemental information, (2) Animation S1, (3) the ArcGIS geodatabase from this work, (4) CRISM browse products, and (5) the ArcGIS database with the locations of grain size derivations.  
Analysis of MYB genes in four plant species and the detection of genes associated with drought resistance
Authors: Zhou Yanli , Lu Lin , Liu Ningyawen , Cao Hua , Li Han , Gui Daping , Wang Jihua , Zhang Chengjun
Published: April 2022

MYB transcription factor, which contains a conserved DNA binding domain, has been found in almost all eukaryotes. MYB genes have variable functions in plants and are involved in many pathways. We systemically analyzed the MYB gene family in three Ericaceae species, Rhododendron williamsianum Rehder & E.H. Wilson, Rhododendron delavayi Franch., and Vaccinium corymbosum L., and one outgroup, Actinidia chinensis Planch., with 99, 156, 480, and 185 MYB genes found, respectively. The MYB genes were classified into five types based on the number of conserved MYB motifs, and the two repeat (2R) types were dominant in all four species. The percentage of 2R type MYB ranged from 48.5% to 87.9% depending on the species. We further classified the conserved MYB motifs into M1, M2, and M3 types based on motif definition. We found an abundance of 3xM2 type in the 3R group, but found a species-specific type preference for 1R and 2R genes. In searching for Arabidopsis drought-resistant genes, we detected 34 potential candidates in four species. The expression profile of R. delavayi showed 11 candidate drought-resistant RdMYB genes, which provide a potential molecular design target for breeders. Our results describe the MYB gene family in these four species and could play an important role in future analyses.
Protective Effects and Therapeutics of Ginsenosides for Improving Endothelial Dysfunction: From Therapeutic Potentials, Pharmaceutical Developments to Clinical Trials
Authors: Yang Fang , Yang Ming-Yue , Le Jing-Qing , Luo Bang-Yue , Yin Meng-Die , Chao-Li  , Jiang Jia-Li , Fang Yi-Fan , Shao Jing-Wei
Published: April 2022

The endothelium covers the internal lumen of the entire circulatory system and plays an important modulatory role in vascular homeostasis. Endothelium dysfunction, characterized by a vasoconstrictive, pro-inflammatory, and pro-coagulant state, usually manifests as a significant pathological process of vascular diseases, including hypertension, atherosclerosis (AS), stroke, diabetes mellitus, coronary artery disease, and cancer. Therefore, there is an urgent necessity to seek promising therapeutic drugs or remedies to ameliorate endothelial dysfunction-induced vascular ailments and complications. Recently, much attention has been attached to ginsenosides, the most significant active components of ginseng, which have always been referred to as “all-healing” and widely used for its extensively medicinal value. Surprisingly, ginsenosides have diverse biological activity which might be related to inflammation, apoptosis, oxidative stress, and angiogenesis. In this review, a brief introduction about endothelial dysfunction and ginsenosides was demonstrated, and the emphasis was put on summarizing multi-faceted pharmacological effects and underlying molecular mechanisms of ginsenosides on the endothelium, including vasorelaxation, anti-oxidation, anti-inflammation, and angio-modulation. Beyond that, nanotechnology to improve efficacy and the existing clinical trials of ginsenosides were concluded. Hopefully, our work will give suggestions for promoting clinical application of traditional Chinese medicine, e.g., hypertension, AS, diabetes, ischemic stroke, and cancer. This review provides a comprehensive base of knowledge for ginsenosides to prevention and treatment of vascular injury- related diseases with clinical significance.
Loop-induced h → γγ, Zγ, gg decays in 3-Higgs doublet models
Authors: Yildirim Emine
Published: April 2022

In this paper, we analyze the loop-induced decays of neutral Higgs boson [Formula: see text] into pairs of photons, gluons and [Formula: see text] in 3-Higgs Doublet Models (3HDMs), where all the doublets have nonzero vacuum expectation values. In the 3HDM, there are contributions to these decays from loops of charged scalars [Formula: see text] that are not present in the Standard Model. We find an enhancement in the channel [Formula: see text] with respect to the Standard Model prediction in some parameter region while respecting constraints from the measurements of [Formula: see text] at the LHC. The charged Higgs bosons [Formula: see text] lead to the enhancement of [Formula: see text] decay mode in some part of the parameter space of the 3HDM. Then, we discuss the correlations between the decay modes [Formula: see text] and [Formula: see text]. Moreover, we study Type-I and Type-Z of 3HDMs and find that these types of 3HDMs can be distinguished via only the gluonic decays, since the contributions of the [Formula: see text] loops are dominant to those of fermion loops. We also investigate the effects of the model parameters on these loop-induced decays. As an interesting phenomenological consequence, the 3HDM is dominantly governed by the parameters: two ratios of vacuum expectation values (VEVs); [Formula: see text], [Formula: see text] and the mixing angles of the CP-even Higgs bosons, [Formula: see text] and [Formula: see text].
OPTIMAL PLACEMENT OF MARINE PROTECTED AREAS TO AVOID THE EXTINCTION OF THE FISH STOCK
Authors: GHOUALI AMEL , MOUSSAOUI ALI , AUGER PIERRE , HUU TRI NGUYEN
Published: April 2022

In this paper, we propose to study a fishery model with variable price. We assume that the price evolves much faster than the rest of the system. Under certain assumptions, this makes it possible to consider the fishery system as a slow–fast system, on two time scales, and to study it with a reduced model of dimension two. Two main cases can occur. The first one which we called catastrophic equilibrium corresponds to over-exploitation leading to fish extinction and a booming price. The second case corresponds to a sustainable fishery equilibrium which is stable. The possible effects of the creation of marine protected areas (MPAs), sites where fishing is prohibited, on the fish stock and fishery are evaluated. We show that MPAs can have a positive effect on the restoration of depleted fish stocks by destabilizing the catastrophic equilibrium and keeping only one positive equilibrium which will be globally asymptotically stable. This problem is addressed by proposing a model with MPA for the fish dynamics. Fish are assumed to move between MPA and fishing area and are subject to harvesting through fishing. We show that to avoid the extinction of the stock and stabilize the fishery in the long term, it is necessary to define a fishing zone such that the ratio of its carrying capacity to its surface is small enough. We further show that with a judicious choice of the surface area of the MPA, it is possible to optimize the total capture.
On some properties of A-nuclei and σ-A-nuclei of a quasigroup
Authors: Chauhan Dimpy , Gupta Indivar , Verma Rashmi
Published: April 2022

In this paper, we investigate the properties of A-nuclei and [Formula: see text]-A-nuclei of a quasigroup including connections between components of [Formula: see text]-A-nuclei and local identity elements. To make the study easier, we give the explicit structure of [Formula: see text]-A-nuclei of a loop, a unipotent left loop and a unipotent right loop in terms of translation maps. We also find the left, right and middle A-nuclei of a quasigroup which is an isostrophic image of a loop in terms of translation maps.
DISTANCE MAKES THE HEART GROW FONDER: SEARCHING COMBINATORIAL POTENTIAL THROUGH KNOWLEDGE NETWORKS
Authors: ZHU SIWEI , SERDAR GOKCE
Published: April 2022

This study conceptualises inventors as agents that connect knowledge elements within a knowledge network. Inventors’ searches thus focus on a knowledge element’s combinatorial potential–its suitability for combination with other knowledge elements to generate innovation. Using a survey-based network approach with scientists in the R&D department of a leading US oil and gas company, we find that internal search on combinatorial potential in a knowledge network has an inverted U-shaped relationship with innovation but external search on combinatorial potential has a positive relationship with individual innovation performance. No reinforcement effect between internal and external search was found. Instead, our study reveals the search strategy through knowledge networks that inventors are likely to reduce their effort on internal search but maintain external search to identify the combinatorial potential of knowledge elements, making them more likely to create fruitful knowledge combinations for innovation.
Earthquake Activities along the Sagaing Fault Zone, Central Myanmar: Implications for Fault Segmentation
Authors: Pailoplee Santi , Nimnate Parisa
Published: April 2022

In this study, the three terms related to the seismic activities of the Sagaing Fault Zone (SFZ), central Myanmar, of the possible maximum magnitude, return period, and probability of exceedance (POE) of an earthquake of given magnitude were evaluated and mapped using an improved earthquake catalog (free of duplicate records, foreshocks, aftershocks and recording artifacts) and implementation of a statistical approach. As a result, the SFZ was separated into five segments with different seismicity levels. The highest hazard level was found for the segment between Myitkyina–Northern Mandalay, with a likely generation of an Mw 6.4–7.2 earthquake in the next 50 years. For the Naypyidaw–Bago segment, the hazard levels were in the comparatively medium range with a magnitude 6.0–7.0 Mw earthquake return period of 20–50 and 100–200 years, respectively. The Offshore Andaman Sea segment of the SFZ was defined to have the lower hazard, with only a 10% or lower POE of a 7.0 Mw earthquake within the next 50 years. Therefore, effective mitigation plans should be prepared for this area and in particular for the region nearby to the Myitkyina–Northern Mandalay segment as the highest earthquake-prone area.
New mathematical modelings of the human liver and hearing loss systems with fractional derivatives
Authors: Hashemi Mir Sajjad , Partohaghighi Mohammad , Ahmad Hijaz
Published: April 2022

Fractional derivatives are significant mathematical instruments that have been practiced to model real phenomena in different areas of science. Through the current investigation study, we develop the Human Liver and Hearing Loss models by employing three fractional operators called Atangana–Baleanu–Caputo, Caputo and Caputo–Fabrizio derivatives. The numerical techniques regarding the basic theories of fractional analysis considered to obtain the approximate solutions of the offered systems. Indeed, approximate results are presented for showing the efficacy of the methods during graphs of solutions. To see the performance of the suggested models, different fractional orders are tested.
Development and Testing of Unmanned Semi-Submersible Vehicle
Authors: Spino Pascal , Matveev Konstantin I.
Published: April 2022

A semi-submersible vehicle has most of its body submerged in the water, while keeping a small platform above the water surface for communication and access to atmospheric air. This vehicle has low visibility, good seaworthiness and low-wave drag in certain speed regimes, and thus, it is potentially suited for special military and civil applications. The main objective of this study is to report on construction and testing of a small, low-cost vehicle of this type, as well as initial tests in open water to characterize its power requirements and trim values at different speeds and settings and to demonstrate some functional capabilities. The vehicle was operated under remote manual control and instrumented with a variety of sensors gathering internal and environmental information. The presented description of the designed system, construction, sensors, data acquisition and control and communication systems, as well as test results, can benefit engineers interested in developing semi-submersible vehicles.
About this title - Cross-Border Themes in Petroleum Geology I: The North Sea
Authors: Patruno S. , Archer S. G. , Chiarella D. , Howell J. A. , Jackson C. A-L. , Kombrink H.
Published: April 2022

A cross-border approach to exploration, appraisal and development is important in mature basins such as the North Sea, where the ‘low hanging fruit’ have long gone. This approach emphasizes the need to see the basin as one geological entity, in order to maximize economic recovery and prepare the area for the energy transition. This volume offers an up-to-date, ‘geology-without-borders’ view of the stratigraphy, sedimentology, tectonics and oil-and-gas exploration trends of the entire North Sea basin, along with the challenges associated with differences in data continuity and nomenclature across median lines. This volume includes overviews of cross-border play statistics, lithostratigraphic naming conventions and exploration performance through to new facies models for cross-border areas. As such, this volume will be a valuable reference for every geoscientist working in the North Sea for years to come.
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact
Authors: Li Yifei , Du Tao , Wu Kui , Xu Jie , Matusik Wojciech
Published: April 2022

Cloth simulation has wide applications in computer animation, garment design, and robot-assisted dressing. This work presents a differentiable cloth simulator whose additional gradient information facilitates cloth-related applications. Our differentiable simulator extends a state-of-the-art cloth simulator based on Projective Dynamics (PD) and with dry frictional contact [Ly et al.
2020
]. We draw inspiration from previous work [Du et al.
2021
] to propose a fast and novel method for deriving gradients in PD-based cloth simulation with dry frictional contact. Furthermore, we conduct a comprehensive analysis and evaluation of the usefulness of gradients in contact-rich cloth simulation. Finally, we demonstrate the efficacy of our simulator in a number of downstream applications, including system identification, trajectory optimization for assisted dressing, closed-loop control, inverse design, and real-to-sim transfer. We observe a substantial speedup obtained from using our gradient information in solving most of these applications.
Efficient Transformers: A Survey
Authors: Tay Yi , Dehghani Mostafa , Bahri Dara , Metzler Donald
Published: April 2022

Transformer model architectures have garnered immense interest lately due to their effectiveness across a range of domains like language, vision, and reinforcement learning. In the field of natural language processing for example, Transformers have become an indispensable staple in the modern deep learning stack. Recently, a dizzying number of
“X-former”
models have been proposed—Reformer, Linformer, Performer, Longformer, to name a few—which improve upon the original Transformer architecture, many of which make improvements around computational and memory
efficiency
. With the aim of helping the avid researcher navigate this flurry, this article characterizes a large and thoughtful selection of recent efficiency-flavored “X-former” models, providing an organized and comprehensive overview of existing work and models across multiple domains.
WiFine: Real-Time Gesture Recognition Using Wi-Fi with Edge Intelligence
Authors: Xing Tianzhang , Yang Qing , Jiang Zhiping , Fu Xinhua , Wang Junfeng , Wu Chase Q. , Chen Xiaojiang
Published: April 2022

Gesture detection based on radio frequency signals has gained increasing popularity in recent years due to several benefits it has brought, such as eliminating the need to carry additional devices and providing better privacy. In traditional methods, significant breakthroughs have been made to improve recognition accuracy and scene robustness, but the limited computing power of edge devices (the first-level equipment to receive signals) and the requirement of fast response for detection have not been adequately addressed. In this article, we propose a lightweight Wi-Fi gesture recognition system, referred to as WiFine, which is designed and implemented for deployment on low-end edge devices without the use of any additional high-performance services in the process. Toward these goals, we first design algorithms for phase difference selection and amplitude enhancement, respectively, to tackle the problem of data drift caused by user change. Then, we design a cross-dimension fusion method to extract features of finer granularity from information of different dimensions, thus solving the precision problem of feature granularity. Finally, we design a lightweight neural network architecture by leveraging redundancy to reduce computational cost while ensuring satisfactory recognition accuracy. Extensive experimental results show that the proposed system achieves fast recognition of various actions with an accuracy up to 96.03% in 0.19 seconds.
Application of Molecularly Imprinted Poly-Itaconic/Multiwalled Carbon Nanotubes for Selective and Sensitive Electrochemical Detection of Linagliptin
Authors: El Sayed Sayed Marwa , Abdel-Tawab Muhammed Abdel-Hamied , Elwy Hanan M. , Fahmy Hussein M. , El Nashar Rasha M.
Published: April 2022

In this work, we report the first molecularly imprinted polymer (MIP) based electrochemical sensor for the determination of the antidiabetic drug Linagliptin (LNG) in pure sample, tablets, and spiked human urine and serum samples. Using a graphite electrode, differential pulse voltammetry (DPV) was applied to study the electrochemical behavior of LNG in a Britton Robinson (BR) universal buffer of pH 8 with Ag/AgCl electrode and Pt wire. The sensor is based on the modification of the traditional carbon paste sensor with Itaconic acid (IA) as monomer, which cross-linked using ethylene glycol dimethacrylate (EGDMA) and multiwalled carbon nanotubes (MWCNTs) as a modifier. The different factors were optimized, such as ratio of MIP components, percentage of multiwalled carbon nanotubes (MWCNT), pH, accumulation time, accumulation potential and scan rate. The proposed sensor was characterized morphologically using: Scanning electron Microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR) and Brunauer–Emmett–Teller (BET) and electrochemically applying electrochemical impedance spectroscopy (EIS)and cyclic voltammetry (CV). DPV was applied to obtain the calibration curve and optimization of different factors, the proposed sensor shows a wide linear range of 1 × 10−12M (0.47 ng l−1) to 1 × 10−7M (47.26 μg l−1) and limit of detection (LOD)1 × 10−13M (0.05 ng l−1) while the limit of quantification (LOQ)was found to be 3.3 × 10−13M (0.16 ng l−1) in addition to good reproducibility and selectivity.
Influence of the Number of Parallel Joints on the Dynamic Mechanical Properties of Rock-Like Features
Authors: Zhang Zhiyu , Li Zhuo , Huang Yonghui , Liu Haoshan
Published: April 2022

The number and distribution of joints in rock are closely related to their physical and mechanical properties. In this paper, given the propagation law of explosive stress waves in jointed rock during rock blasting and the influence of joints on dynamic mechanical properties and crushing energy dissipation of rock, parallel joints are simulated in the construction of concrete specimens using a mica sheet. The discrete Hopkinson test device is used to perform the impact test, which is based on the three-wave and fractal theory. Under dynamic load, the fluctuation characteristics, failure mode, fractal dimension, and energy dissipation transfer law of rock-like specimens with various parallel joints are studied in detail. The results show that the overall failure of the specimen becomes more severe with the increase of parallel joints, and the failure mode is changed from the conjugate shear failure of the complete specimen to the edge collapse failure with joints. Thus, as the number of joints increases, the static strength decreases, and the degree of reduction is positively related to the number of joints. With the number of joints, the changing trend of enhancement factor increases first and then slows down. Compared with nonjointed specimens, the transmission coefficient of 1-3 jointed specimens is decreased by 0.22, 0.05, and 0.17, respectively. The dimension of the specimen

D

f

is positively correlated. Under the synonymous impact pressure of 0.35 MPa, the corresponding fractal dimension is increased from 2.27 to 2.42. The crushing energy consumption density, transmission coefficient, and dynamic compressive strength

σ

d

of the specimen are significantly negatively correlated, and the crushing energy consumption density of the specimen decreased from 0.82 J/cm3 to 0.28 J/cm3.
The Shear Damage Model of the Two-Component Forming Polymer Grouting Material-Bentonite Contact Surface
Authors: Zhang Hao , Du Mingrui , Zhao Yan , Chen Liangqiong
Published: April 2022

The newly developed two-component polymer (TFPU) cut-off walls have great application potential in civil engineering for water-seepage prevention. Investigating the mechanical interactions between TFPU and soil from the theoretical perspective can provide a basis for furtherly evaluating the stability of TFPU cut-off walls, which, however, has not been conducted. In this study, based on the shear testing results, the shear damage model of the TFPU-bentonite contact surface was established. Studies show that the TFPU-bentonite contact surface performs strain-softening behavior under shear and that the strain-softening behavior becomes less and less obvious when the normal stress increases. The theoretical shear stress-strain curves are in good consistent with the experimental ones, and the maximum differences between the theoretical shear stress and shear strain at yield and the experimental ones are about 3.88% and 3.40%, respectively, indicating that the shear damage model can reflect the mechanical properties of the TFPU-bentonite contact surface. The critical damage of the contact surface increases from 0.05 to 0.50 in the power function way when normal stress increases from 75 to 1200 kPa, implying that the shear failure of the contact surfaces changes from brittleness to ductility. This study provides a theoretical base for evaluating the influences of the TFPU-soil contact surface on the stability of the TFPU cut-off wall structures.
BUBs Are New Biomarkers of Promoting Tumorigenesis and Affecting Prognosis in Breast Cancer
Authors: Wang Shunan , Liu Xinyu , Yang Meng , Yuan Dongqi , Ye Kui , Qu Xin , Wang Xinchao
Published: April 2022

Background. A tumor occurs because of abnormal cell multiplication caused by many variables like a significant disturbance in the regulation of cell growth and the instability of chromosome mitosis. Budding uninhibited by benzimidazoles 1 (BUB1), BUB1 mitotic checkpoint serine/threonine kinase B (BUB1B), and budding uninhibited by benzimidazoles 3 (BUB3) are key regulators of mitosis, and their abnormal expression is highly correlated with breast cancer (BrCa), sarcoma, hepatic carcinoma, and other malignant tumors. However, the occurrence of BUBs (BUB1, BUB1B, and BUB3) and the development of BrCa have not been systematically explained. Methods. Find out the target gene by looking up literature on PubMed and CNKI. Using the R software, TCGA, GEO, Kaplan-Meier Plotter, TIMER, and other databases, we studied the level of transcription, genetic changes, and physiological functions of BUBs in BrCa patients and their relationship with the origin, development, prognosis, immunity, and drug resistance of BrCa patients. Findings. We found that the high expression level of BUBs in BrCa tissues proposed a poor prognosis. The multivariate Cox regression analysis suggested that BUB1B and BUB3 might be independent prognostic factors of BrCa. In addition, the Metascape functional enrichment analysis showed that BUBs may be involved in the composition of the spindle, chromosome, and other structures and play a role in mitosis, sister chromatid separation, and other processes. Pathway enrichment suggests that BUBs may affect the cell cycle and lead to abnormal proliferation. Meanwhile, we also found that BUB3 can negatively regulate B lymphocytes, and BUB1 and BUB1B inhibit immune responses by promoting the secretion level of checkpoint molecules of the immune system, leading to immune escape of tumor cells. Conclusion. We speculate that BUB1, BUB1B, and BUB3 may be therapeutic targets for BrCa patients and also provide new therapeutic strategies for BrCa treatment.
Chinese Herb Injections in the Adjuvant Treatment for Ulcerative Colitis: A Network Meta-Analysis of Randomized Controlled Trials
Authors: Zhou Ziyang , Chen Hao , Shen Yingkai , Huang Hailiang
Published: April 2022

Ulcerative colitis refers to an inflammatory disease lasting for a long time, which affects the colon. In China, injections of traditional Chinese herbs have been generally combined with traditional Western medicines such as mesalazine and sulfasalazine to treat ulcerative colitis. Nevertheless, the safety and efficacy exhibited by different CHIs for treating UC remains controversial. Therefore, a network meta-analysis method was employed in this study for the assessment of the effect and safety exhibited by CHI for treating UC. Seven English and Chinese databases were searched for relevant randomized controlled trials (RCTs) from the time of database creation to December 30, 2021. An assessment was conducted for the included RCTs’ quality with the use of the Cochrane risk offset assessment device, and this study processed the data with the use of Review Manager 5.3 or Stata16.0 software. On the whole, 42 literature with data on 3668 patients were included. The overall response rate, inflammatory factors, recurrence rate, and adverse reactions were evaluated. In comparison with traditional Western medicines-based treatment, CHI integrated with traditional Western medicines presented an overall response rate (

P
<
0.05

) and could better reduce the TNF-α (

P
<
0.05

), IL-6(

P
<
0.05

), and IL-8 level rate (

P
<
0.05

) while better increasing the IL-10 level rate (

P
<
0.05

). Besides, adverse reactions of CHI integrated with traditional Western medicine had a lower incidence (

P
<
0.05

), and no significant distinction was identified in recurrence rate levels between the two interventions. CHI has some efficacy for treating UC. Xiangdan injection, Shenmai injection, Shengmai injection, and Danshen injection may be the most effective CHI. Nevertheless, more multicenter randomized controlled double-blind trials with great quality and large samples are required for research confirmation. Trial Registration: the registration was made for the protocol of this network meta-analysis in PROSPERO with ID CRD42021251429.
Topical Formulation of Noscapine, a Benzylisoquinoline Alkaloid, Ameliorates Imiquimod-Induced Psoriasis-Like Skin Lesions
Authors: Nourbakhsh Fahimeh , Mousavi Seyed Hadi , Rahmanian-Devin Pouria , Baradaran Rahimi Vafa , Rakhshandeh Hassan , Askari Vahid Reza
Published: April 2022

Psoriasis is considered an autoimmune inflammatory disease. The disease is spread and diagnosed by the infiltration of inflammatory mediators and cells into the epidermis. Recent theoretical developments have focused on the effectiveness of noscapine (NOS) as a potential alkaloid for being used as a valuable treatment for different diseases. In the present study, psoriasis-like dermatitis was induced on the right ear pinna surface of male Balb/c mice by topical application of imiquimod (IMQ) for ten consecutive days, which was treated with noscapine (0.3, 1, 3, and 10% w/v) or clobetasol (0.05% w/v) as a positive control. The levels of ear length, thickness, severity of skin inflammation, psoriatic itch, psoriasis area severity index (PASI) score, and body weight were measured daily. On the 10th day of study, each ear was investigated for inflammation, fibrosis, proliferation, and apoptosis using histopathological (H&E and Masson’s trichrome staining) and immunohistochemistry (Ki67 and p53 staining) assays. Furthermore, the levels of inflammatory biomarkers were characterized by an enzyme-linked immunosorbent assay (ELISA). The results confirmed IMQ-induced psoriasis for five consecutive days. In contrast, noscapine significantly reduced the ear length, thickness, severity of skin inflammation, psoriatic itch and body weight, tumor necrosis factor-α (TNF-α), transforming growth factor-β (TGF-β), interferon-gamma (IFN-γ), interleukin 6 (IL-6), IL-17, and IL-23p19 in a concentration-dependent manner (P < 0.001–0.05 for all cases). Overall, topical noscapine significantly ameliorated both the macroscopical and microscopical features of psoriasis. However, further clinical investigations are required to translate the effects to clinics.
Risk Prediction of Coal and Gas Outburst Based on Abnormal Gas Concentration in Blasting Driving Face
Authors: Qiu Liming , Peng Yujie , Song Dazhao
Published: April 2022

In order to realize dynamic, continuous, and real-time prediction of coal and gas outburst risk in real time in blasting driving face, an outburst risk prediction method based on the characteristics of gas emission after blasting is proposed. In this study, the causes of abnormal gas concentration in blasting driving face are analyzed, and the identification method of abnormal gas concentration based on weighted K-nearest neighbor (weighted KNN) is proposed. The correlation between gas emission characteristics after blasting and K1 value is analyzed, and the prediction model of outburst risk based on convolutional neural networks (CNN) is established and applied in Jinjia coal mine in China. The results show that the causes of abnormal gas concentration mainly include ventilation stop, blasting operation, sensor adjustment, and other abnormalities. The accuracy of the identification method is 86.1%. Especially, the identification accuracy of blasting operation is 92%. There are strong correlations between the growth rate, peak value, and decay rate of gas concentration after blasting and K1 value, and the maximum correlation coefficient is 0.92. Using the prediction model, 28 times of jet holes and 1 small outburst event are predicted successfully, and the efficiency of the prediction model is 76.39%. By this technology, the utilization rate of gas information is improved, and the relationship between the change characteristics of gas concentration after blasting and the risk of coal seam outburst is established, which is of significant for improving the prediction accuracy and risk management ability of coal and gas outburst.
Blockchain Empowered Federated Learning for Distributed Network Security Behaviour Knowledge Base in 6G
Authors: Li Kun , Zhou Huachun , Tu Zhe , Liu Feiyang , Zhang Hongke
Published: April 2022

The malicious flow originating from massive access devices in 6G network will increase sharply. In order to effectively reduce malicious flow, we hope to establish a new framework for coordination of security monitoring and malicious behaviour control in 6G network. Federated learning provides data and privacy protection for the distributed network security behaviour knowledge base. However, since the equipment of its participants needs to upload the original data to the central server for model training, this may lead to data leakage in the knowledge base. Therefore, in this article, we first use the knowledge graph to describe network security behaviours, then build a universal network security malicious behaviour knowledge base, and discuss its application scenarios. Then, we propose a blockchain empowered federated learning (BeFL) for distributed network security malicious behaviour knowledge base architecture to ensure the security of knowledge transmission. Finally, we deployed the designed distributed knowledge base in the prototype system and compared it with the other two baseline methods to verify the performance. Relevant results show that our method outperforms other methods in terms of user identification, flow detection, and attack source tracing.
Dynamic and Static Features-Aware Recommendation with Graph Neural Networks
Authors: Sun Ninghua , Chen Tao , Ran Longya , Guo Wenshan
Published: April 2022

Recommender systems are designed to deal with structured and unstructured information and help the user effectively retrieve needed information from the vast number of web pages. Dynamic information of users has been proven useful for learning representations in the recommender system. In this paper, we construct a series of dynamic subgraphs that include the user and item interaction pairs and the temporal information. Then, the dynamic features and the long- and short-term information of users are integrated into the static recommendation model. The proposed model is called dynamic and static features-aware graph recommendation, which can model unstructured graph information and structured tabular data. Particularly, two elaborately designed modules are available: dynamic preference learning and dynamic sequence learning modules. The former uses all user-item interactions and the last dynamic subgraph to model the dynamic interaction preference of the user. The latter captures the dynamic features of users and items by tracking the preference changes of users over time. Extensive experiments on two publicly available datasets show that the proposed model outperforms several compelling state-of-the-art baselines.
The Application Research of Visual Touch Based on Computer Vision in Artistic Visual Image Design
Authors: Zhou Yao
Published: April 2022

As a branch of artistic design, artistic visual image design focuses on the visual image, because the scope of artistic visual image design is relatively wide. This research takes ice flower as the research object. After a brief introduction to computer vision and visual touch, it focuses on the current situation of the application of ice flower graphics, the creative graphic design of dew ice flower, the artificial production method of ice flower painting, the method of subject research, the repetition and arrangement of elements, and the type of gradients for ice drawing graphic elements. In addition, the principle of the visual tracking algorithm is introduced through the formula, and the tracking accuracy and success rate of the algorithm in this paper and other algorithms are compared during the experiment, and the experiment shows the formation conditions of the ice flower. Experiments show that tracking results combined with deep features perform the best, with an overall average of 66.95%. The closer the tracking sample is to the real target, the better the tracking performance can be guaranteed. This also proves the effectiveness of using the characteristics of deep features to select candidate samples related to the target and also proves that deep features are more robust in dealing with various challenging factors.
Management of Education and Correction of Problem Teenagers Based on Information Encryption Storage Method
Authors: Wang Qian , Zhang Ludan
Published: April 2022

In order to effectively realize the management of educational correction for problem teenagers, improve the security and reliability of encrypted storage of educational correction information for problem teenagers, and shorten the encrypted storage time of educational correction information for problem teenagers, educational correction management for problem teenagers based on information encryption storage method is proposed. Analyze the information encryption storage method and combine it with the necessary theoretical foundation of education and correction of issue teenagers to create an encryption and secure storage management method for education and correction of problem teenagers’ information. The CP-ABE algorithm is used to obtain the initial key of the system, express the encrypted cipher-text, specify the attributes of each user in the problematic youth education and correction user permission list, and obtain the problem youth education and correction user permission control structure. Using tent mapping and cat mapping methods, the key parameters are calculated, respectively, and the encrypted file is piecewise, linearly mapped. Then, XOR is the plaintext bytes and key bytes of the encrypted and safe storage of the problem youth’s education and correction information, completing the encrypted and safe storage of the data information in the problem youth’s education and correction management and realizing the problem youth’s education and correction management. The results of the experiments show that the proposed technology is secure and reliable and that it can efficiently reduce the encryption storage time of educational corrective material for troubled teenagers.
On the Energy Efficiency of Multicell Massive MIMO with Antenna Selection and Power Allocation
Authors: Du Liping , Tan Ying , Li Yiming , Chen Yueyun
Published: April 2022

The energy consumption of massive multiple-input multiple-output (MIMO) systems increases with the number of antennas. Optimizing the energy efficiency (EE) of massive MIMO systems is one of the ways to achieve green communication. This paper proposes an EE optimization method that genetic algorithm-based antenna selection and power allocation (GA-AS+PA) for the downlink of a multicell massive MIMO system under the restriction of the users’ sum-rate. First, we use the genetic algorithm to determine the active transmitting antenna of each base station (BS). Then, the transmission power for each user is allocated using the convex optimization method. Finally, the EE of system is optimized under the achieved optimum BS’s transmit power and the number of active antennas. From the simulation results, the GA-AS+PA method can improve the EE of the system while meeting user sum-rate requirements, which achieves better performance compared with random antenna selection+equal power allocation method (RAS+EPA), random antenna selection+power allocation method (RAS+PA), the antenna selection method based on genetic algorithm+equal power allocation method (GA-AS+EPA), and equal power allocation (EPA) these four methods. The EE of the proposed GA-AS+PA method is improved by 33.3% compared to the EPA method.
Construction and Optimization of Distributed Electronic Archives System Merging Control Messages
Authors: Zhao Yang , Du Weiming
Published: April 2022

This paper analyzes the whole of the electronic archives management system, describes the basic features and functions of the system, and gives the flow of each functional module of the system. Techniques for implementing important functions in the system are discussed and compared. Using the object-oriented idea, this paper designs the electronic archives management system and gives the hybrid structure model of the system. According to the needs of the electronic office, an official document transmission module is established to realize the electronic transmission of official documents, and the specific implementation process is given. According to the characteristics of archives information management and utilization, SQL Server is used as the background database and the database design is carried out. This paper introduces the full-text retrieval technology that realizes the query and retrieval function of electronic archives and gives how to configure the full-text retrieval service in SQL Server. This paper proposes a K-means-based merging control message clustering algorithm to solve the problem of communication topology changes caused by large-scale, high-mobility merging control messages. Based on the idea of K-means clustering, the calculation method of distance in K-means is improved by combining the distribution of the initial electronic archives message, and the fitness function of the electronic archives is designed by using the information of the electronic archives in the cluster and the average distance to the neighboring electronic archives. According to the maximum fitness value, the cluster head is selected to establish clustering. The file management system is tested and analyzed in a simulated environment. Based on the functional positioning of the system and the business environment, the functional performance and performance of the analysis system are examined and analyzed, and the research and development results are inspected according to the system development goals to check whether the development results of the system have reached the advanced stage. At the functional level, it can automate the management of the core business of the distributed electronic archives management department and support the distributed storage management of massive archive data, which effectively improves the informatization level and development efficiency of archives management.