bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence of unruptured intracranial aneurysms: impact of different definitions – the Tromsø Study
Authors: Johnsen Liv-Hege , Herder Marit , Vangberg Torgil , Kloster Roar , Ingebrigtsen Tor , Isaksen Jørgen Gjernes , Mathiesen Ellisiv B
Published: June 2022

Background

Management of incidental unruptured intracranial aneurysms (UIAs) remains challenging and depends on their risk of rupture, estimated from the assumed prevalence of aneurysms and the incidence of aneurysmal subarachnoid haemorrhage. Reported prevalence varies, and consistent criteria for definition of UIAs are lacking. We aimed to study the prevalence of UIAs in a general population according to different definitions of aneurysm.

Methods

Cross-sectional population-based study using 3-dimensional time-of-flight 3 Tesla MR angiography to identify size, type and location of UIAs in 1862 adults aged 40–84 years. Size was measured as the maximal distance between any two points in the aneurysm sac. Prevalence was estimated for different diameter cutoffs (≥1, 2 and 3 mm) with and without inclusion of extradural aneurysms.

Results

The overall prevalence of intradural saccular aneurysms ≥2 mm was 6.6% (95% CI 5.4% to 7.6%), 7.5% (95% CI 5.9% to 9.2%) in women and 5.5% (95% CI 4.1% to 7.2%) in men. Depending on the definition of an aneurysm, the overall prevalence ranged from 3.8% (95% CI 3.0% to 4.8%) for intradural aneurysms ≥3 mm to 8.3% (95% CI 7.1% to 9.7%) when both intradural and extradural aneurysms ≥1 mm were included.

Conclusion

Prevalence in this study was higher than previously observed in other Western populations and was substantially influenced by definitions according to size and extradural or intradural location. The high prevalence of UIAs sized <5 mm may suggest lower rupture risk than previously estimated. Consensus on more robust and consistent radiological definitions of UIAs is warranted.
Evolution in Health and Medical Humanities education: a proposal for accreditation
Authors: Berry Sarah L , Williams Anna-leila , Lamb Erin Gentry , Klugman Craig M
Published: June 2022

The growth of Health and Medical Humanities baccalaureate and master’s degrees in recent decades makes the present moment ideal for initiating field-defining conversations among health humanities constituents about the boundaries of this transdisciplinary field. Focusing on accreditation at the programme level rather than the individual level, we explore four models with different advantages for Health and Medical Humanities: a certification for practice; a network (umbrella organisation); a programme of merit (POM) model; and consultancy. We conclude that for a young field like health humanities that is transdisciplinary, does not have an established canon and does not lead to entry to a specific professional path (ie, gatekeeping), the POM model is the best fit. In contrast to a full accreditation model, POM credentialling leaves room for creativity, expansiveness, and diversity of approaches and will not restrict programmes from calling themselves health humanities programmes; POM enhances visibility rather than decides who can teach in the field and what they must teach. To implement this model, we suggest the creation of a semi-independent Health and Medical Humanities Program Accreditation Commission (HMHPAC) that would be administered by the Health Humanities Consortium. The HMHPAC should have three goals: ensure that health humanities educational programmes are of the highest quality, assist programmes in acquiring the resources they need from their institutions and help programmes attract potential students.
Anisotropic compact objects with Finch–Skea geometry in EGB gravity
Authors: Das Bibhash , Dey Sagar , Das Shyam , Paul Bikash Chandra
Published: June 2022

We present a new class of relativistic anisotropic stellar models with spherically symmetric matter distribution in Einstein Gauss–Bonnet (EGB) gravity. A higher dimensional Finch–Skea geometry in the theory is taken up here to construct stellar models in hydrostatic equilibrium. The Gauss–Bonnet term is playing an important role in accommodating neutron stars. We study the physical features namely, the energy density, the radial and tangential pressures and the suitability of the models. It is found that the equation of state of such stars are non-linear which is determined for a given mass and radius of known stars. The stability of the stellar models are also explored for a wide range of values of the model parameters.
Localization properties of the asymptotic density distribution of a one-dimensional disordered system
Authors: Hainaut Clément , Clément Jean-François , Szriftgiser Pascal , Garreau Jean Claude , Rançon Adam , Chicireanu Radu
Published: June 2022

Anderson localization is the ubiquitous phenomenon of inhibition of transport of classical and quantum waves in a disordered medium. In dimension one, it is well known that all states are localized, implying that the distribution of an initially narrow wave packet released in a disordered potential will, at long time, decay exponentially on the scale of the localization length. However, the exact shape of the stationary localized distribution differs from a purely exponential profile and has been computed almost fifty years ago by Gogolin. Using the atomic quantum kicked rotor, a paradigmatic quantum simulator of Anderson localization physics, we study this asymptotic distribution by two complementary approaches. First, we discuss the connection of the statistical properties of the system’s localized eigenfunctions and their exponential decay with the localization length of the Gogolin distribution. Next, we make use of our experimental platform, realizing an ideal Floquet disordered system, to measure the long-time probability distribution and highlight the very good agreement with the analytical prediction compared to the purely exponential one over 3 orders of magnitude.

Graphical Abstract
Amygdalin Induced Mitochondria-Mediated Apoptosis of Lung Cancer Cells via Regulating NFκB-1/NFκB Signaling Cascadein Vitroandin Vivo
Authors: Lin Shumeng , Wen Jing , Xu Xiao , Shi Jiamin , Zhang Wen , Zheng Tiansheng , Hou Yaqin , Zhang Yanfei , Li Ziye , Wang Kai , Jin Jing , Yue Liduo , Abay Baigenzhin , Li Ming , Yue Qingxi , Fan Lihong
Published: June 2022

Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer death worldwide. Amygdalin, a natural compound commonly distributed in plants of the Rosaceae species, owns anticancer activity, less side effects, wide source, and relatively low price. Although the apoptosis is a central process activated by amygdalin in cancer cells, the underlying molecular mechanisms through which amygdalin induces the apoptosis of lung cancer cells remain poorly understood. In this research work, amygdalin could suppress the proliferation of lung cancer A549 and PC9 cells by CCK8 assay. Amygdalin significantly promoted the apoptosis of lung cancer A549 and PC9 cells stained with Annexin V-FITC/PI by flow cytometry assay. Furthermore, amygdalin dose-dependently decreased the mitochondrial membrane potential (MMP) with JC-1 dye by flow cytometry. To investigate the underlying molecular mechanisms through which amygdalin induced mitochondria-mediated apoptosis of cancer cells, the differentially-expressed genes with a fold change >2.0 and p < 0.05 were acquired from the cDNA microarray analysis. The results of qRT-PCR further confirmed that the differentially-expressed level of the NF[Formula: see text]B-1 gene was most obviously enhanced in lung cancer cells treated with amygdalin. The results of immunofluorescence staining, Western blotting and siRNA knockdown indicated that amygdalin induced mitochondria-mediated apoptosis of lung cancer cells via enhancing the expression of NF[Formula: see text]B-1 and inactivating NF[Formula: see text]B signaling cascade and further changing the expressions of proteins (Bax, Bcl-2, cytochrome C, caspase 9, caspase 3 and PARP) related to apoptosis, which were further checked by in vivo study of the lung cancer cell xenograft mice model accompanying with immunohistochemical staining and TUNEL staining. Our results indicated that amygdalin might be a potential activator of NF[Formula: see text]B-1, which sheds more light on the molecular mechanism of anticancer effects of amygdalin. These results highlighted amygdalin as a potential therapeutic anticancer agent, which warrants its development as a therapy for lung cancer.
Pseudo-Hermitian Dirac operator on the torus for massless fermions under the action of external fields
Authors: Yeşiltaş Ö. , Furtado J.
Published: June 2022

The Dirac equation in (2+1) dimensions on the toroidal surface is studied for a massless fermion particle under the action of external fields. Using the covariant approach based on general relativity, the Dirac operator stemming from a metric related to the strain tensor is discussed within the pseudo-Hermitian operator theory. Furthermore, analytical solutions are obtained for two cases, namely, constant and position-dependent Fermi velocity.
Transition to magma-driven rifting in the South Turkana Basin, Kenya: Part 2
Authors: Rooney Tyrone O. , Wallace Paul J. , Muirhead James D. , Chiasera Brandon , Steiner R. Alex , Girard Guillaume , Karson Jeffery A.
Published: June 2022

Strain localization is central to the transition between continental rifting and seafloor spreading. In the East African Rift System (EARS), there is an emerging understanding of the link between extensional pulses and magmatic episodes. We investigate modern magmatism located within the Turkana Depression and its relationship with the distribution of extensional strain. We probe the source of magmatism at South Island volcano using bulk rock, melt inclusion and olivine geochemical data and find that the magmas are derived from sub-lithospheric sources equivalent to magmatism in the more mature sectors of the rift. The depth extent of the magmatic plumbing system of South Island is constrained using vapour saturation pressures derived from bubble-corrected H
2
O and CO
2
concentrations in melt inclusions and the results indicate a magmatic system resembling modern axial volcanic systems observed in other parts of the EARS. The zone of focused axial magmatism that South Island represents has evolved contemporaneously with a region of focused axial faulting that has accommodated the majority of regional Holocene extension and subsidence at this latitude. We conclude that at South Island there has been a migration of magmatic and tectonic strain towards the modern zone of focused intrusion along this portion of the EARS.

Supplementary material:
S1–S2 image files, data table files S3–S6 and caption file S7 are available at
https://doi.org/10.6084/m9.figshare.c.6026627
A Ballistic Transport Nanodevice Based on Graphene Nanoribbon FET by Enhanced Productivity for Both Low-Voltage and Radio-Frequency Scopes
Authors: Anvarifard Mohammad K. , Ramezani Zeinab , Ghoreishi S. Amir
Published: June 2022

The top performance in both the low-voltage and radio frequency (RF) scopes has been nominated for an unique nanodevice made from a graphene nanoribbon with an extremely short gate length (7.5 nm) in this study. Two distinct material engineering options were used, yielding some interesting outcomes. Due to the use of an ultrascale GNRFET in this study, the band structure non-linearity in the Dirac point and the energy-position dependent effective mass model for dual material gate architectures were examined for the first time. The NEGF formalism is used to carry out both the low-voltage and RF research using a three-dimensional (3D) Poisson equation. Low-voltage high performance has been validated by monitoring the key parameters in the terms of on current (Ion), off current (Ioff), Ion to Ioff ratio, subthreshold swing, and drain induced barrier lowering (DIBL) for the proposed device as compared to other structures under the study. The RF performance is examined by evaluation of essential parameters in the cases of parasitic gate capacitance, intrinsic cut-off frequency, intrinsic delay time, and transconductance. Indeed, a device with a higher source side gate work function than it does on the drain side is proposed will shift the energy band from the device’s half to the drain electrode, altering carrier outflow. In addition, the performance of non-linearity and RF intermodulation distortion has been analyzed for all devices under investigation in order to attain the best attitude toward the suggested device in comparison to the other devices under investigation in this work.
Gate All around CNTFET based Ternary Content Addressable Memory
Authors: Ganie Sabzar Shafi , Singh Amandeep
Published: June 2022

This paper proposes a design of gate all around CNTFET based ternary content addressable memory (TCAM). TCAM cell is designed and simulated in HSPICE using top gated CNTFET (TG-CNTFET) & gate all around CNTTFET (GAA-CNTFET). Dual chirality technique is used to design TCAM cell i.e. different chirality for n-type CNTFET & p-type CNTFET which utilizes different threshold voltages and hence improve the performance. Comparative analysis has been done for various parameters viz. Static noise margin (SNM), delay, power and power delay product (PDP). It has been found that GAA-CNTFET based TCAM gives better SNM and power as compared to TG-CNTFET based TCAM, however TG-CNTFET based TCAM gives less delay. However overall PDP is less in GAA-CNTFET which make is suitable for circuit applications as compared to TG-CNTFET.
Research on Mobile Ideological and Political Teaching in Universities Based on the Android Platform
Authors: Chen Jinxin , Guan Yuanyuan
Published: June 2022

The traditional ideological and political teaching is very old-fashioned, the teaching content is very fixed, and the teaching methods are very old. Based on the analysis of the problems existing in the traditional teaching mode, this study proposes a cloud service architecture plan with cloud, network, and terminal as the core design ideas., clarifies the goals and problems to be solved, and then conducts functional requirements analysis. In the system design stage, the whole system is firstly designed as a whole, and then the business process in the teaching system is analyzed, the redundant business in the business process is found, and the process is reorganized. The mobile learning system based on the Android platform meets the existing teaching needs and can be expanded to a certain extent. It can achieve good results in teaching application and make certain contributions to the construction of educational informatization, improving learning efficiency and enhancing students’ autonomous learning ability.
Research on Discrete Dynamic Modeling of Learner Behavior Analysis in English Teaching
Authors: Fu Junru , Cao Lingmei
Published: June 2022

The current English teaching mode focuses on the traditional offline teaching and online teaching. In order to solve the problems that some students are inefficient and cannot teach students according to their aptitude in the teaching process, this paper uses the big data analysis strategy based on a neural network algorithm. This paper studies the discrete dynamic modeling method of learner behavior analysis in English teaching. Firstly, it summarizes the current situation of English teaching and the research status of the hybrid application of discrete dynamic modeling technology. Secondly, combined with English teaching content and teaching objectives, through the analysis of various data of students’ learning behavior, this paper evaluates students’ English teaching quality from five aspects that affect the students’ English teaching quality and puts forward a personalized English teaching quality evaluation model based on discrete dynamic modeling technology and learners’ behavior analysis. Finally, through the practical teaching application in a university, the feasibility of the discrete dynamic English teaching model is verified. The results show that compared with the current innovative English teaching methods based on a dynamic iterative decision algorithm, the personalized discrete dynamic English teaching model based on learner behavior analysis significantly improves the quality of English teaching and students’ academic performance.
Analysis of the Effect of Rational Emotional Intervention Combined with Hierarchical Management Mode on Improving the Psychological Stress of Emergency Nurses and Trainee Nurses
Authors: Liu Shirui , Li Xiangsu , Yin Xianghong , Wang Liqun
Published: June 2022

Purpose. To explore the effect of rational emotional intervention combined with hierarchical management mode on improving the psychological stress of emergency nurses and trainee nurses. Methods. 50 emergency nurses who worked or practiced in our hospital from June 2019 to May 2021 were selected as the research object. From June 2019 to May 2020, our hospital adopted the traditional management mode. From June 2020 to May 2021, our hospital adopted the rational emotional intervention combined with hierarchical management mode. The psychological state, work stress, stress response, job burnout, and sleep quality of emergency nurses were compared before and after intervention. Results. Compared with before intervention, the scores of self-rating anxiety scale and self-rating depression scale, the work stress scores, the Maslach burnout inventory score, the Pittsburgh sleep quality index score of emergency nurses decreased after intervention (P<0.05). Compared with before intervention, the stress coping scores of emergency nurses increased after intervention (P<0.05). Conclusion. The rational emotional intervention combined with hierarchical management mode can improve the psychological pressure of emergency nurses and trainee nurses, reduce job burnout, improve stress coping ability, and improve sleep quality.
Rough‐Set‐Based Real‐Time Interest Label Extraction over Large‐Scale Social Networks
Authors: Huang Xiaoling , Li Lei , Wang Hao , Hu Chengxiang , Xu Xiaohan , Wu Changlin
Published: June 2022

Labels provide a quick and effective solution to obtain people interesting content from large‐scale social network information. The current interest label extraction method based on the subgraph stream proves the feasibility of the subgraph stream for user label extraction. However, it is extremely time‐consuming for constructing subgraphs. As an effective mathematical method to deal with fuzzy and uncertain information, rough set‐based representations for subgraph stream construction are capable of capturing the uncertainties of the social network. Therefore, we propose an effective approach called RS_UNITE_SS (namely, rough‐set‐based user‐networked interest topic extraction in the form of subgraph stream), which is suitable for large‐scale social network user interest label extraction. Specifically, we first propose the subgraph division algorithm to construct a subgraph stream by incorporating a rough set. Then, the algorithm for user real‐time interest label extraction based on upper approximation (RILE) is proposed by using sequentially characteristics of the subgraph. Empirically, we evaluate RS_UNITE_SS over real‐world datasets, and experimental results demonstrate that our proposed approach is more computationally efficient than existing methods while achieving higher precision value and MRR value.
Study on Algorithm of Statistical Model for Improving Core Competitiveness of Manufacturing Industry Based on Digital Information Technology
Authors: Zhang Yanli , Zhang Yin , Jiang Yiyuan
Published: June 2022

The aim is to improve the core competitiveness of China’s manufacturing industry, promote the development of digital information technology, break through the difficulties brought by China’s manufacturing industry to the high end, and enhance China’s international influence and comprehensive competitiveness. Method. The construction of the statistical algorithm model of the core competitiveness of the manufacturing industry is improved by using the statistical algorithm of the key points of the core competitiveness of the manufacturing industry. Different comparisons are made between the two groups of algorithms, such as comparing the core competitiveness evaluation results of different types of manufacturing industry and the coupling degree of core competitiveness, statistical model, and economic growth trend of manufacturing industry. The research results show that, under the control of digital information technology, the overall coupling degree of the statistical model is rising and has an obvious increase on the manufacturing economy. We promote the deep integration of digital information, artificial intelligence, and the real economy; realize the industrialization of key technologies in the manufacturing industry; and enhance the core competitiveness of the manufacturing industry. Driven by digital information, China’s manufacturing industry will enter the high-speed development lane, so as to promote the high-quality development of China’s manufacturing industry. It has provided a solid foundation for ensuring the steady and healthy development of people’s economy and promoted the transformation of China from a large manufacturing country to a powerful manufacturing country and from “made in China” to “created in China.”
Mathematical Model of Quantitative Evaluation of Financial Investment Risk Management System
Authors: Wang Xiaoling
Published: June 2022

The financial investment risk management system refers to an analysis and control of the intelligent system to invest in the lower financial situation so that investors quickly understand the situation in the financial industry. The purpose of this article is to use a digital model to evaluate financial investment risk management system. The investment risk value can be better evaluated by building a digital model. This paper first introduces financial investment risks and then elaborates the evaluation system and related digital models. The standards of the evaluation system are also given. The GARCH model is established to analyze the LME copper and LME aluminum case selected by this paper by investigation and analysis of the current status of corporate financial investment risks. The experimental results show that the evaluation results are often close to the reality when using the GARCH model evaluation of financial investment risk management system, and the accuracy is quite high. In addition to the EGARCH-N model, the established model is more accurate at 90% confidence level, which is more accurate and is relatively close to a given significance level.
Facile Ultrasound‐Assisted Green Synthesis of NiO/Chitosan Nanocomposite from Mangosteen Peel Extracts as Antibacterial Agents
Authors: Pham Thi Mai Huong , Nguyen Ngoc Son , Dao The Nam , Le Thu Thuy , Nguyen Thi Hanh , Pham Ha Ngan , Nguyen Thi Huong
Published: June 2022

In this study, NiO/chitosan (NiO/CS) nanocomposite was synthesized via a green method in which nickel nitrate hexahydrate as a precursor and mangosteen (Garcinia mangostana L.) peel extract as a reducing agent using an ultrasound‐assisted coprecipitation method. The NiO/CS nanoparticles were characterized by X‐ray diffraction, Fourier‐transform infrared (FTIR) spectroscopy, transmission electron microscopy, and dynamic light scattering. NiO/CS nanocomposite had a cubic spinel structure and contained NiO nanoparticles with good crystallinity. The appearance of the Ni–O band at 465 cm−1 in the FTIR spectrum confirmed the formation of NiO. The NiO/CS nanocomposite sizes ranged from 14–30 nm with an average particle size of 28 nm. Magnetic characterization results show that the saturation magnetism is quite high, contributing to NiO/CS being available in many applications. The antibacterial efficacy of NiO/CS nanocomposites was tested against Saccharomyces cerevisiae along with Gram‐positive (Bacillus subtilis) and Gram‐negative (Escherichia coli) bacteria using the disc diffusion method and determined the minimum inhibitory concentration (MIC).
Detection and Significance of Cell-Free DNA Mutation in Pleural Effusion in Patients with Advanced NSCLC
Authors: Qiao Man , Li Dongsheng , He Yuan , Zhang Cen , Chi Hang , Li Xiaoqiu , Cui QingMing , Li ShaoYing , Jiao Ying , Wei Yuan
Published: June 2022

Objective. To detect EGFR/KRAS genes in pleural effusion cell-free DNA in patients with advanced non-small-cell lung cancer (NSCLC) and to explore the clinical significance of EGFR/KRAS mutation status in pleural effusion. Methods. A retrospective collection was performed on the specimens of pleural effusion and matched tissues from 50 patients with advanced NSCLC admitted to the hospital between January 2019 and January 2021. DNA mutation status of EGFR/KRAS in different specimens was detected and compared by pyrosequencing. The clinicopathological data and follow-up data of survival were collected. The relationship between DNA mutation and clinicopathological characteristics and prognosis was analyzed. Results. In the 50 pleural effusion specimens, there were 22 cases (44.00%) with EGFR mutations (19/21 exon mutations), including 12 cases with EGFR19 deletion mutation and 10 cases with EGFR21 exon L858R mutation. There were 6 cases (12.00%) with KRAS mutations (single-base substitution mutations), including 4 cases with 12-codon mutation and 2 cases with 13-codon mutation. In the 50 tissue specimens, there were 24 cases (48.00%) with EGFR mutations and 4 cases (8.00%) with KRAS mutations. There was no significant difference between pleural effusion specimens and tissue specimens, with good consistency (kappa = 0.920–0.779,

P
>
0.05

). EGFR mutation in pleural effusion was related to smoking history, types of pathological tissues, and lymph node metastasis (

P
<
0.05

). The incidence of EGFR mutation was higher in nonsmokers, patients with lung adenocarcinoma, and patients with lymph node metastasis. The carcinoembryonic antigen (CEA) in patients with EGFR mutation was higher than that with wild-type EGFR, while the level of cytokeratin 19 fragment (Cy21-1) was lower than that with wild-type EGFR (

P
<
0.05

). The 1-year overall survival rate in the EGFR mutation group was significantly higher than that in the EGFR wild group (68.18% vs. 42.86%) (HR = 0.419, 95% CI = 0.178–0.989, and

P
<
0.001

). Conclusion. For the detection of EGFR gene mutation, the results of the pleural effusion specimens and the tumor pathological tissue specimens were well consistent and the detection of pleural effusion could be used as an alternative method when tissue specimens cannot be obtained. EGFR gene mutations are present in majority in patients with advanced NSCLC. The incidence of EGFR mutation is higher in nonsmokers, patients with lung adenocarcinoma, those with lymph node metastasis, those with high-expression CEA, and those with low-expression Cy21-1. The prognosis is better in patients with EGFR mutation.
Art Design of Ceramic Sculpture Based on 3D Printing Technology and Electrochemistry
Authors: Zhu Junxi , Liu Weiyu
Published: June 2022

In order to solve the artistic design of ceramic sculpture, we proposed a method based on 3D printing technology for ceramic sculpture. First, using ANSYS ICEMCFD simulation software, we verified the effectiveness of the ceramic sculpture design method based on 3D printing technology in this study. Second, the design method of this study is recorded as the experimental group A. The two traditional design methods are recorded as experimental group B and experimental group C, respectively. Finally, we determined and compared the effect, size error, and precision error of the three groups of design methods to design the product. Ceramic sculptures are designed by proving the design method, high pattern definition, and small surface precision error. In the three directions of x-axis, y-axis, and z-axis, the relative size error generated is small, and the error is maintained below 1.0, and the effect of the finished product is consistent. So, the surface roughness of the ceramic sculpture designed this time is low, which will not affect the dimensional accuracy of the ceramic sculpture.
Study on Invulnerability of Material Emergency Transportation System Based on Three-Layer Interdependent Network
Authors: Feng Boyu , Zhou Lin , Zhang Zhihao , Wang Yuhui
Published: June 2022

The material transportation capacity under emergency conditions is an important guarantee for the country to deal with war, epidemic outbreak, and other crisis situations. Under emergency conditions, some nodes of the material transportation system may fail to work normally, which may lead to the collapse of the whole system. Based on analyzing the characteristics of the material emergency transportation system, this article builds a three-layer interdependent network model and uses the improved M-L model to describe the failure propagation mechanism of node damage in the three-layer network. Then, the network model is attacked randomly, and the relationship between invulnerability of the three-layer network and the three main indexes of network flow, average degree, and probability of interdependence are studied. Afterwards, the propagation of cascading failure among three subnetworks in the interdependent network is analyzed and compared. This article provides a theoretical basis for building an efficient and robust material emergency transportation system.
Existence and Stability Results for Caputo-Type Sequential Fractional Differential Equations with New Kind of Boundary Conditions
Authors: Awadalla Muath , Manigandan Murugesan
Published: June 2022

In this paper, we present the existence and the stability results for a nonlinear coupled system of sequential fractional differential equations supplemented with a new kind of coupled boundary conditions. Existence and uniqueness results are established by using Schaefer’s fixed point theorem and Banach’s contraction mapping principle. We examine the stability of the solutions involved in the Hyers–Ulam type. A few examples are presented to illustrate the main results.
Inhibition of TRPA1 Ameliorates Periodontitis by Reducing Periodontal Ligament Cell Oxidative Stress and Apoptosis via PERK/eIF2α/ATF-4/CHOP Signal Pathway
Authors: Liu Qian , Guo Shujuan , Huang Yanli , Wei Xiuqun , Liu Li , Huo Fangjun , Huang Ping , Wu Yafei , Tian Weidong
Published: June 2022

Objective. In periodontitis, excessive oxidative stress combined with subsequent apoptosis and cell death further exacerbated periodontium destruction. TRPA1, an important transient receptor potential (TRP) cation channel, may participate in the process. This study is aimed at exploring the role and the novel therapeutic function of TRPA1 in periodontitis. Methods. Periodontal ligament cells or tissues derived from healthy and periodontitis (PDLCs/Ts and P-PDLCs/Ts) were used to analyze the oxidative and apoptotic levels and TRPA1 expression. TRPA1 inhibitor (HC030031) was administrated in inflammation induced by P. gingivalis lipopolysaccharide (P.g.LPS) to investigate the oxidative and apoptotic levels of PDLCs. The morphology of the endoplasmic reticulum (ER) and mitochondria was identified by transmission electron microscope, and the PERK/eIF2α/ATF-4/CHOP signal pathways were detected. Finally, HC030031 was administered to periodontitis mice to evaluate its effect on apoptotic and oxidative levels in the periodontium and the relieving of periodontitis. Results. The oxidative, apoptotic levels and TRPA1 expression were higher in P-PDLC/Ts from periodontitis patients and in P.g.LPS-induced inflammatory PDLCs. TRPA1 inhibitor significantly decreased the intracellular calcium, oxidative stress, and apoptosis of inflammatory PDLCs and decreased ER stress by downregulating PERK/eIF2α/ATF-4/CHOP pathways. Meanwhile, the overall calcium ion decrease induced by EGTA also exerted similar antiapoptosis and antioxidative stress functions. In vivo, HC030031 significantly reduced oxidative stress and apoptosis in the gingiva and periodontal ligament, and less periodontium destruction was observed. Conclusion. TRPA1 was highly related to periodontitis, and TRPA1 inhibitor significantly reduced oxidative and apoptotic levels in inflammatory PDLCs via inhibiting ER stress by downregulating PERK/eIF2α/ATF-4/CHOP pathways. It also reduced the oxidative stress and apoptosis in periodontitis mice thus ameliorating the development of periodontitis.
Effect of PARP Inhibitor Combined with Bevacizumab on Platinum-Resistant Recurrent Ovarian Epithelial Carcinoma
Authors: Sun Li , Liu Caixia , Li Yun
Published: June 2022

Objective. This study was aimed at investigating the efficacy of PARP inhibitor combined with bevacizumab in the treatment of platinum-resistant recurrent ovarian epithelial carcinoma. Methods. A total of 84 patients with platinum-resistant recurrent ovarian epithelial carcinoma treated in our hospital from May 2017 to June 2018 were selected as the research objects. The patients were divided into observation group (

n
=
42

) and control group (

n
=
42

) according to random number table method. The observation group was treated with olaparib combined with bevacizumab, while the control group was treated with albumin-bound paclitaxel combined with bevacizumab, and the clinical efficacy of the two groups was observed. The levels of serum carbohydrate antigen 125 (CA125), carbohydrate antigen 199 (CA199), and epididymal protein 4 (HE4) were determined. The levels of miRNA124, mirNA-21, and miRNA-203 in the two groups were detected. The incidence of adverse reactions was compared between the two groups. The quality of life of the two groups was assessed using FACT-G scale. The drug safety of the two groups was observed. All patients were followed up for 3 years, and the survival time of the two groups was recorded. The Kaplan-Meier method was used to analyze the survival of the two groups. Results. The overall response rate (ORR) (69.05%) and disease control rate (DCR) (88.10%) of the observation group were higher than those of the control group (40.48% and 66.67%), and the differences were statistically significant (both

P
<
0.05

). After treatment, the levels of serum CA125, CA199, HE4, miRNA124, miRNA-21, and miRNA-203 and the improvement degree of quality of life score in the observation group were greater than those in the control group, with statistical significances (all

P
<
0.05

).The 1-year, 2-year, and 3-year survival rates of the observation group (97.62%, 88.10%, and 80.95%) were higher than those of the control group (71.43%, 57.14%, and 47.62%), with statistical significances (all

P
>
0.05

). Conclusion. PARP inhibitor combined with bevacizumab had good effect in the treatment of platinum-resistant recurrent ovarian epithelial carcinoma and can effectively improve the survival time and quality of life of patients.
Measuring Consumers’ Perceived Bias of the Safety Risk of Domestic Infant Formula with Principal Component Analysis and Multidimensional Model
Authors: Cui Lihang , Jiang Bing , Liu Chenyang , Li Cuixia
Published: June 2022

There is a large bias between consumers’ perception of food safety risks and the actual state of food safety. Accurate measurements of consumers’ perceived bias of food safety risk provide a scientific basis for the government to improve food safety risk communication measures. Based on the random sample of 559 consumers obtained by the scenario simulation experiment on domestic infant formula, consumers’ perceived bias of the safety risk of domestic infant formula was accurately measured with a principal component analysis and a multidimensional model. The results show that consumers’ perceived bias of the safety risk of domestic infant formula includes physical-performance risk, financial-time risk, and psychological risk. The physical-performance risk perception bias is the highest, followed by psychological risk perception bias and financial-time risk perception bias. There are significant differences in the perception bias of the safety risk of domestic infant formula among consumers with different demographic characteristics. The Chinese government could adjust consumers’ perceived bias of the food safety risk by establishing a food safety risk communication mechanism, strengthening the popularization of food safety knowledge, and preventing and managing food safety rumors.
Locally Conformally Flat Doubly Twisted Product Complex Finsler Manifolds
Authors: Xiao Wei , He Yong , Li Shuwen , Ni Qihui
Published: June 2022

Let be a doubly twisted product manifold of two strongly pseudoconvex complex Finsler manifolds (M1, F1) and (M2, F2). In this study, we give a characterization of locally conformally flat doubly twisted product complex Finsler manifold. We also obtain a necessary and sufficient condition for a doubly twisted product of two locally conformally flat complex Finsler manifolds to be locally conformally flat.
Experimental Study on Seismic Compression of Chinese Loess under Cyclic Direct Simple Shear Testing
Authors: Wang Qiang , Zhang Zhe , Shao Shengjun , Yang Qian
Published: June 2022

Seismic compression is the accumulation of contractive volumetric strains in unsaturated soil from earthquake shaking. For Chinese loess, the behavior of seismic compression is extremely significant and has been recognized in historical earthquakes. As a main technical mean, dynamic triaxial apparatus has been employed to study the seismic compressibility of loess for a long time. However, dynamic simple shear apparatus is superior to dynamic triaxial apparatus in modeling the real stress condition of soil under earthquake. Meanwhile, dynamic triaxial apparatus could not measure the volumetric strain of unsaturated loess precisely. A series of cyclic compression tests are hereby performed on unsaturated and intact loess by the new cyclic direct simple shear device developed in Xi’an University of Technology. The properties of cyclic compression of loess specimens are analyzed under the combined conditions of four water contents, four vertical stresses, and six shear strains. The test results reveal that the volumetric strain is constantly compacted through the process of cyclic load‐unloading and is much larger during loading half‐cycle than unloading half‐cycle. It has been found that the cyclic compressibility of loess is dependent upon density, water content, confining pressure, shear strain (or stress), and cycles. An empirical formula to estimate the increment of cyclic volumetric strain per cycle is expressed in terms of the amplitude of shear train, dry density, water content, and vertical stress. Moreover, a simplified evaluation procedure is proposed for the probable settlements of loess deposits subjected to earthquake shaking.
Breast Cancer Prediction Empowered with Fine-Tuning
Authors: Nasir Muhammad Umar , Ghazal Taher M. , Khan Muhammad Adnan , Zubair Muhammad , Rahman Atta-ur , Ahmed Rashad , Hamadi Hussam Al , Yeun Chan Yeob
Published: June 2022

In the world, in the past recent five years, breast cancer is diagnosed about 7.8 million women’s and making it the most widespread cancer, and it is the second major reason for women’s death. So, early prevention and diagnosis systems of breast cancer could be more helpful and significant. Neural networks can extract multiple features automatically and perform predictions on breast cancer. There is a need for several labeled images to train neural networks which is a nonconventional method for some types of data images such as breast magnetic resonance imaging (MRI) images. So, there is only one significant solution for this query is to apply fine-tuning in the neural network. In this paper, we proposed a fine-tuning model using AlexNet in the neural network to extract features from breast cancer images for training purposes. So, in the proposed model, we updated the first and last three layers of AlexNet to detect the normal and abnormal regions of breast cancer. The proposed model is more efficient and significant because, during the training and testing process, the proposed model achieves higher accuracy 98.44% and 98.1% of training and testing, respectively. So, this study shows that the use of fine-tuning in the neural network can detect breast cancer using MRI images and train a neural network classifier by feature extraction using the proposed model is faster and more efficient.
Ethanol Extract of Sargassum siliquastrum Inhibits Lipopolysaccharide-Induced Nitric Oxide Generation by Downregulating the Nuclear Factor-Kappa B Signaling Pathway
Authors: Min Hye-Young , Kim Hyewon , Lee Ho Jin , Yoon Na-Young , Kim Yeon-Kye , Lee Ho-Young
Published: June 2022

Sargassum siliquastrum (SS) is an edible brown seaweed widely consumed in Korea and considered a functional food source. Previous studies have reported various biological activities of SS extracts, including antioxidant and hepatoprotective properties. In the present study, we examined the anti-inflammatory effects of the SS extract and assessed the underlying mechanism of action. The SS extract significantly inhibited lipopolysaccharide (LPS)-induced nitric oxide (NO) production in a dose-dependent manner (% of NO production at 500 μg/mL: 60.1 ± 0.9%), with no obvious toxicity. Furthermore, the SS extract inhibited mRNA and protein expression levels of inducible NO synthase, as well as LPS-induced expression and production of proinflammatory cytokines such as IL-1β, IL-6, or TNF-α (IL-6 production (ng/mL) : LPS−: 0.7 ± 0.3; LPS+: 68.1 ± 2.8; LPS + SS extract: 51.9 ± 1.2; TNF-α production (ng/mL) : LPS−: 0.3 ± 0.1; LPS+: 23.0 ± 0.1; LPS + SS extract: 18.2 ± 10.8). Mechanistically, the SS extract attenuated LPS-induced activation of the nuclear factor kappa-light-chain-enhancer of activated B cells (nuclear factor-kappa B, NF-κB) signaling pathway such as phosphorylation of NF-κB p65 and degradation of IκB-α, thereby blocking LPS-induced activation of NF-κB transcriptional activity. The SS extract also enhanced LPS-induced heme oxygenase-1 expression and attenuated LPS-induced cellular reactive oxygen species production (% of ROS production at 500 μg/mL: 52.2 ± 1.3%). Collectively, these findings suggest that the SS extract elicits anti-inflammatory effects in mouse macrophage cells.
Framework Design of Science and Technology Venture Capital Salary Management System Driven by Blockchain Technology
Authors: Yang Rui , Niu Ping
Published: June 2022

The aim of this article is to study the framework design of science and technology venture capital salary management system driven by blockchain technology. Firstly, it expounds on the background and research significance of enterprise salary management. According to the current theory and research direction of salary management in domestic science and technology enterprises, combined with the mode of salary management in domestic enterprises, it analyzes the current situation and existing problems of enterprise salary management and the relevant algorithms driven by blockchain technology, among which the typical is consensus algorithm. Then, the salary management system is established, and the use cases of the system are analyzed according to the operation and business process of the system. Finally, according to the system requirements analysis, the overall network and software framework of the system are designed, the main business processes of the system are designed, and the database solution is put forward. The system test shows that the system finally completes the basic business of enterprise salary management, the operation interface is simple and convenient, the program runs stably, and can achieve the expected effect of demand analysis.
Fuzzy Logic-Based Machine Learning Algorithm for Cultural and Creative Product Design
Authors: Lan Taihua
Published: June 2022

In order to effectively assist industrial designers in the color scheme design of cultural and creative products and output color schemes that meet users’ image preferences, an interactive color scheme design method for cultural and creative products based on triangular fuzzy number is proposed. Through the group consistency decision based on triangular fuzzy number, an interactive genetic evolution of the color scheme population of cultural and creative products is performed to generate color schemes that satisfy the group consistency imagery preference and satisfaction, and the final selection scheme is calculated by color beauty. This paper verifies that the method can effectively integrate the imagery preferences of group users and help industrial designers to better design color schemes for cultural and creative products through the results of multiuser decision consistency.
Analysis of the Clinical Value of Delphian Lymph Node Metastasis in Papillary Thyroid Carcinoma
Authors: Zuo Qiumei , Chen Xin , Yang Jingyu , Qiu Shuang , Zhao Yuan , Sun Jianwei
Published: June 2022

Purpose. Delphian lymph node (DLN) is often involved in metastasis of malignant head and neck tumors. This study evaluates the predictive utility of the DLN and the clinicopathological factors related to DLN metastasis in individuals suffering from papillary thyroid carcinoma (PTC). Patients and Methods. A retrospective analysis was made on 969 PTC patients enrolled from 2017 to 2021. Among these patients, 522 PTC patients are DLN positive and 447 are negative. Comparisons of clinicopathological characteristics between the DLN-positive and DLN-negative patients were made. Results. The DLN was detected in 53.9% (522/969) cases, and DLN metastasis occurred in 20.3% (106/522) cases. The independent predictors of DLN metastasis (DLNM) include tumor size >1 cm, tumor located in the upper third thyroid or isthmus, central lymph node metastasis (CLNM), and lateral lymph node metastasis (LLNM). DLN-positive individuals exhibited a higher incidence and the number of CLNM, contralateral CLNM (CCLNM), and LLNM as compared to DLN-negative patients. Whether it is cN0 or cN+, the CLNM incidence was increased among DLN-positive patients as compared to that of DLN-negative patients. Conclusions. Positive DLN indicated an increased rate and number of metastases in the cervical lymph nodes. Intraoperative rapid freezing is recommended to assess the status of the DLN, and careful assessment of cervical lymph nodes is warranted when the DLN is involved to implement an appropriate surgical approach.
DCE-DForest: A Deep Forest Model for the Prediction of Anticancer Drug Combination Effects
Authors: Zhang Wei , Xue Ziyun , Li Zhong , Yin Huichao
Published: June 2022

Drug combinations have recently been studied intensively due to their critical role in cancer treatment. Computational prediction of drug synergy has become a popular alternative strategy to experimental methods for anticancer drug synergy predictions. In this paper, a deep learning model called DCE-DForest is proposed to predict the synergistic effect of drug combinations. To sufficiently extract drug information, the paper leverages BERT (Bidirectional Encoder Representations from Transformers) to encode the drug and the deep forest to model the nonlinear relationship between the drugs and cell lines. The experimental results on the synergy datasets demonstrate that the proposed method consistently shows superior performance over the other machine learning models.