bluuebunny/crossref_metadata_2025 huggingface dataset:
Massive white dwarfs in $$f(\mathtt {R,L_m})$$ gravity
Authors: Lobato R. V. , Carvalho G. A. , Kelkar N. G. , Nowakowski M.
Published: June 2022

In this work, we investigate the equilibrium configurations of massive white dwarfs (MWD) in the context of modified gravity, namely $$f(\mathtt {R,L_m})$$

f
(
R
,

L
m

)

gravity, where $$\mathtt {R}$$
R
stands for the Ricci scalar and $$\mathtt {L_m}$$

L
m

is the Lagrangian matter density. We focused on the specific case $$f(\mathtt {R,L_m})= \mathtt {R}/2 + \mathtt {L_m}+ \sigma \mathtt {R}\mathtt {L_m}$$

f

(
R
,

L
m

)

=
R
/
2
+

L
m

+
σ
R

L
m

, i.e., we have considered a non-minimal coupling between the gravity field and the matter field, with $$\sigma $$
σ
being the coupling constant. For the first time, the theory is applied to white dwarfs, in particular to study massive white dwarfs, which is a topic of great interest in the last years. The equilibrium configurations predict maximum masses which are above the Chandrasekhar mass limit. The most important effect of the theory is to increase significantly the mass for stars with radius < 2000 km. We found that the theory can accommodate the super-Chandrasekhar white dwarfs for different star compositions. Apart from this, the theory recovers the General Relativity results for stars with radii larger than 3000 km, independent of the value of $$\sigma $$
σ
.
Charmonium suppression in ultra-relativistic proton–proton collisions at LHC energies: a hint for QGP in small systems
Authors: Singh Captain R. , Deb Suman , Sahoo Raghunath , Alam Jan-e
Published: June 2022

Proton–proton (pp) collision has been considered as a baseline to study the system produced in relativistic heavy-ion (AA) collisions with the basic assumption that no thermal medium is formed in pp collisions. This warrants a cautious analysis of the system produced in pp collisions at relativistic energies. In this work we investigate the charmonium suppression in pp collisions at $$\sqrt{s} = 5.02$$

s

=
5.02

, 7 and 13 TeV energies. Further, charmonium suppression has been studied for various event multiplicities and transverse momenta by including the mechanisms of color screening, gluonic dissociation, collisional damping along with regeneration due to correlated $$c{\bar{c}}$$

c

c

¯

pairs. Here we obtain a net suppression of charmonia at high-multiplicity events indicating the possibility of the formation of quark–gluon plasma in pp collisions.
Revisiting mono-tau tails at the LHC
Authors: Jaffredo Florentin
Published: June 2022

We revisit the constraints on semileptonic operators derived from the mono-$$\tau $$
τ
high-$$p_T$$

p
T

events in pp collisions at LHC. Like in previous studies, we obtain limits on the New Physics couplings from the CMS data much stronger than from the ATLAS data, despite a nearly equal integrated luminosity. We find that a neglected systematics on the $$\tau $$
τ
lepton reconstruction efficiency can partly explain that difference. We then provide new limits on the New Physics couplings relevant to decays based on $$b\rightarrow c\tau {\bar{\nu }}$$

b
→
c
τ

ν

¯

by using the recent ATLAS data with $$139\,\mathrm{fb}^{-1}$$

139

fb

-
1

. We also show that the inclusion of propagation of the New Physics particle can significantly worsen the bounds obtained by relying on Effective Field Theoretical treatment of New Physics.
Acute Pancreatitis in Individuals with COVID-19: A Case Report and Critical Review of Literature
Authors: Jamali Arsia , Nemovi Khashayar , Bayraktutar Betul N. , Farzaneh Adam , Chan Kevin , Ramirez Carlos , Shahkamrani Elika , Perumbeti Anil
Published: June 2022

Involvement of gastrointestinal tract has been reported in individuals diagnosed with COVID-19. Herein, we report a case of 65-year-old woman with type 2 diabetes mellitus, hypertension, and end-stage renal disease undergoing hemodialysis who was initially diagnosed with COVID-19 on a screening test. During the course of the disease, her respiratory symptoms remained mild; however, she developed acute pancreatitis leading to severe hypertension and hyperosmolar hyperglycemic state. During the hospitalization and treatment of acute pancreatitis, hyperglycemia, and hypertension, her condition improved and she was discharged in stable condition.
Metaheuristics Based Modeling and Simulation Analysis of New Integrated Mechanized Operation Solution and Position Servo System
Authors: Gao Huixian , Kareem Ahmed , Jawarneh Malik , Ofori Isaac , Raffik R. , Kishore Kakarla Hari
Published: June 2022

Inadequate environmental protection is a problem, and to address it, the efficiency and quality grade of mechanical operations should be improved. A new comprehensive mechanized operation solution is proposed. The position control of a servo motor utilizing a PID (proportional, integral, derivative) controller and soft computing optimization approaches is explored in this paper. The essential technological realization techniques are reviewed and assessed, which serves as a reference for comprehensive mechanization solutions. The simulation model may be used to examine system features and explore control strategy by reflecting the characteristics of the actual system. A PID controller is designed by establishing a mathematical model based on the position servo system. It is verified that the PID control link is added to the pneumatic position servo control system. Through the comparison of the PID control experiment and PID control simulation data, the system can achieve high-precision position control, and the error is less than ±20 mm, meeting the requirements of rust removal and spraying design, and showing that the control system works stably and reliably to achieve high-precision simulation of the pneumatic position servo system.
Identification of Aircraft Wake Vortex Based on VGGNet
Authors: Pan Weijun , Leng Yuanfei , Yin Haoran , Zhang Xiaolei
Published: June 2022

The exploration of information for aircraft wake vortex enables us to obtain new knowledge of wake turbulence separation standards. Traditional manual methods cannot work satisfactorily for the identification of great number of wake vortex data with high accuracy. Fortunately, the LiDAR intensity data can be explained by integrating LiDAR products with the strategies of computer vision. To overcome the limitation of traditional manual methods, this paper is aimed at developing an automatic method to identify a given set of wake vortices from various aircrafts. The main innovation works are outlined as follows. (1) From the wake vortex data that consists of various aircrafts measured by Wind3D 6000 LiDAR, a grayscale dataset of wake flow is constructed to boost the deep learning model for identifying aircraft wake vortex. (2) Following this, we propose a new method for the identification of aircraft wake vortex by modifying the VGG16 network, providing binary classifications of uncertain behavior patterns for wake vortices. To evaluate the proposed identification model, performance evaluation was conducted on our dataset, where experimental results revealed the values of 0.984, 0.951, 0.959, and 0.955 in terms of accuracy, precision, recall, and F1-score, respectively.
Nanoligament Combined with Tennis Exercise on Rehabilitation Training for Treatment of Ligament Injury Patients
Authors: Chen Jun , Chen Yiting
Published: June 2022

This article mainly studies the effect of nanoligament combined with tennis on the rehabilitation of ligament injury patients. This article first uses nanoligaments made by ACL reconstruction technology to give targeted rehabilitation treatment to patients with ligament injuries, analyzes the internal structure of the knee joint cavity ligaments, and clarifies the rehabilitation of ACL injuries and other combined injuries. The construction method of nanoligament composite fiber composite ligament is mainly introduced. Secondly, the nanoligament damage mechanism can be used to prevent excessive knee deformation and internal rotation. Finally, the nanoligament is combined with the fiber composite ligament, and the silk fibroin filament yarn is used as the axis to form a composite structure on the fiber composite ligament structure to strengthen the rehabilitation effect for patients with ligament injury. In this study, combined with the data analysis of patients with nanoligament injury, it was found that after 50 patients have undergone corresponding tennis training and knee flexion angle observation, the recovery speed is 5 times faster than that of ordinary patients. The experimental results show that the combination of nanoligaments and tennis has a positive effect on rehabilitation training for patients with ligament injury.
Fixed Point Results of Jaggi-Type Hybrid Contraction in Generalized Metric Space
Authors: Jiddah Jamilu Abubakar , Alansari Monairah , Mohamed OM Kalthum S. K. , Shagari Mohammed Shehu , Bakery Awad A.
Published: June 2022

In this manuscript, a new family of contractions called Jaggi-type hybrid

G
−
ϕ

-contraction is introduced and some fixed point results in generalized metric space that are not deducible from their akin in metric space are obtained. The preeminence of this class of contractions is that its contractive inequality can be extended in a variety of manners, depending on the given parameters. Consequently, several corollaries that reduce our result to other well-known results in the literature are highlighted and analyzed. Substantial examples are constructed to validate the assumptions of our obtained theorems and to show their distinction from corresponding results. Additionally, one of our obtained corollaries is applied to set up unprecedented existence conditions for the solution of a family of integral equations.
Exploring the Status of Preference, Utilization Practices, and Challenges to Consumption of Amaranth in Kenya and Tanzania
Authors: Nyonje Winnie A. , Yang Ray-Yu , Kejo Dyness , Makokha Anselimo O. , Owino Willis O. , Abukutsa-Onyango Mary O.
Published: June 2022

African leafy vegetables such as amaranth have been utilized since time immemorial both as food and as medicine. These vegetables grew naturally in most rural environments, but currently most of them are cultivated both for home consumption and for sale. The aim of this study was to identify the most preferred amaranth species and cooking and utilization practices, as well as the beliefs and attitudes that encourage or discourage use of this vegetable. The study was carried out in seven counties of Kenya and in three regions in Tanzania. Twenty Focus Group Discussions (FGDs) with members of the community and twenty Key Informant Interviews (KIIs) with agricultural and nutrition officers were conducted in the study areas to obtain information on preferred varieties, sources of amaranth vegetables, common cooking methods, alternative uses, beliefs and taboos surrounding amaranth consumption, and the challenges experienced in production and consumption. The findings of the study showed that amaranth is one of the most commonly consumed indigenous vegetables in Kenya and Tanzania. The preference for varieties and cooking habits differs depending on the community and individuals. Amaranthus dubius and Amaranthus blitum were most common in Kenya, while Amaranthus dubius and Amaranthus hypochondriacus were most common in Tanzania. Most people consumed these vegetables because they were affordable and available or because of circumstance of lacking other foods. Regarding cooking, final taste was mostly considered rather than nutritional attribute. Several alternative uses of amaranth such as uses as medicine and livestock feed were also reported, as well as some beliefs and taboos surrounding the vegetable. Training on nutritional attributes and promotion of food preparation practices that ensure maximum nutrient benefits from amaranth is needed at the community level to realize the nutritional importance of the vegetables. Hands-on training and demonstrations were the most preferred modes of passing information.
Analysis of Children’s Sports Evaluation Based on Big Data
Authors: Yin Yue , Wang Kaizhen
Published: June 2022

The physical health level of children in our country is relatively low and becoming worse with each passing day. In this context, the quality of children’s physical education has been given a higher degree of attention, and the arrival of the era of big data has provided a better development opportunity for children’s physical education, which has broken the traditional thinking of physical education. Further, it can significantly improve the education level of children’s physical education. Therefore, this study examines the importance of evaluating children’s sports performance and provides a plan for developing a system based on physical fitness using the concept of big data. The findings of this study suggest that the conduction of such a research study is of great importance and gives novel ideas for improving children’s physical activity environments. Using the concept of big data technology, the degree of physical fitness among children has dramatically improved. Further, it is envisaged that this research would bring out the optimal and evaluation direction of children’s physical activities in the current era.
Logo Design Process and Method of Intellectual Property Big Data in the Digital Media Era
Authors: Jia Xin , Dong Yan , Wang Bingxue
Published: June 2022

Logo design is related to the image of a company, unit, product, etc. A good logo can leave a deep impression on people and intuitively understand the content of the product. With the increasing emphasis on intellectual property protection, the design of logos should also pay more attention to the protection of property rights. It can be said that the logo of some big brands is enough to represent the enterprise itself; for example, seeing the red cross as a hospital. This paper aims to propose a logo design process and method under the background of intellectual property big data, so as to make the logo design more procedural and efficient, and to better focus on the protection of property rights. By introducing the relevant knowledge of logo design and trademark registration, it is indicated that trademark search can be used as an auxiliary tool for logo design. Combined with digital media and big data technology, a logo image recognition and classification method is designed so that the trademark registration and screening stage can avoid the infringement design to the greatest extent, so as to put forward the design process and method to improve the innovation ability of logo design. According to the research, the classification accuracy rate of the algorithm proposed in this paper is 91.5%, and the recognition rate of various defects is also above 95%. In addition, in design practice, the stability of design proposals should be monitored through multiple search methods using trademark search tools. If a high similarity is found in the search results, the design direction should be adjusted in time until the final design scheme is determined.
Constructing a Music Network Teaching System by Using Neural Network Model with Wireless Audio Transmission
Authors: Liu Weiming
Published: June 2022

The purpose is to solve the problems that the traditional teaching methods limit the openness and extension of the music classroom, the interaction between teachers and students, the environment of students’ autonomous learning, and the music teaching situation. Wireless local area networks, Bluetooth, and intelligent transmission channels based on specific frequency can replace wired audio transmission and are widely used in the digital music classroom. Moodle system is used to build a music teaching network system based on the analysis of previous studies and the existing music teaching network platform. The system combines with Convolutional Neural Network (CNN) structure based on cloud computing to effectively identify and create music scores. The system effectiveness is further proved by analyzing the learning effect of the students and teaching effect of teachers in the conservatory of music. The results show that the system makes the experience of teachers and students in the teaching system different from before, and students can freely choose the time and place of class. In addition, the teaching method is flexible, and the teaching methods and resources are real-time. Therefore, in the music teaching network course, it overcomes some shortcomings of the traditional teaching mode. The music class is open and flexible. Teachers and students can have more interactive behavior and realize the students’ self-study and music teaching environment. This exploration can provide a theoretical basis and practical experience for music-related teaching.
Attractive Sugar Bait Formulation for Development of Attractive Toxic Sugar Bait for Control of Aedes aegypti (Linnaeus)
Authors: Kumar Sarita , Sharma Aarti , Samal Roopa Rani , Kumar Manoj , Verma Vaishali , Sagar Ravinder Kumar , Singh ShriPati , Raghavendra Kamaraju
Published: June 2022

Background. Attractive toxic sugar bait (ATSB), based on “attract and kill” approach, is a novel and promising strategy for mosquito control. Formulation of an attractive sugar bait (ASB) solution by selecting an efficient olfaction stimulant and preparation of an optimized sugar-attractant dosage is a significant component for the success of the approach. Methods. Current study evaluated relative potential of nine ASBs, formulated by combination of sugar and fresh fruit juices (guava, mango, muskmelon, orange, papaya, pineapple, plum, sweet lemon, and watermelon) in attracting Aedes aegypti adults. Freshly extracted and 48-hour-fermented juices were combined with 10% sucrose solution (w/v) in 1 : 1 ratio. Cage bioassays were conducted against two laboratory strains (susceptible: AND-Aedes aegypti; deltamethrin-selected: AND-Aedes aegypti-DL10) and two field-collected strains (Shahdara strain of Aedes aegypti: SHD-Delhi; Govindpuri strain of Aedes aegypti: GVD-Delhi). Each of the nine ASBs was assayed, individually or in groups of three, for its attraction potential based on the relative number of mosquito landings. The data were analysed for statistical significance using PASW (SPSS) software 19.0 program. Results. The prescreening bioassay with individual ASB revealed significantly higher efficacy of ASB containing guava/plum/mango juice than that containing six other juices (

p
<
0.05

) against both the laboratory and field strains. The bioassay with three ASBs kept in one cage, one of the effective ASBs and two others randomly selected ASBs, also showed good attractancy of the guava/plum/mango juice-ASB (

p
<
0.05

). The postscreening assays with these three ASBs revealed maximum attractant potential of guava juice-sucrose combination for all the four strains of Ae. aegypti. Conclusion. Guava juice-ASB showed the highest attractancy against both laboratory and field-collected strains of Ae. aegypti and can be used to formulate ATSB by combining with a toxicant. The field studies with these formulations will ascertain their efficacy and possible use in mosquito management programs.
Plasma Spectroscopy on Hydrogen-Carbon-Oxygen Foam Targets Driven by
Laser-Generated Hohlraum Radiation
Authors: Ma Bubo , Ren Jieru , Wang Shaoyi , Wang Xing , Yin Shuai , Feng Jianhua , Wei Wenqing , Xu Xing , Chen Benzheng , Zhang Shisheng , Xu Zhongfeng , Hu Zhongmin , Li Fangfang , Xu Hao , Li Taotao , Li Yutian , Wang Yingying , Liu Lirong , Liu Wei , Fan Quanping , Chen Yong , Deng Zhigang , Qi Wei , Cui Bo , Zhou Weimin , Zhao Zongqing , Cao Zhurong , Gu Yuqiu , Cao Leifeng , Cheng Rui , Xue Quanxi , Hoffmann Dieter H. H. , Zhao Yongtao , Batani Dimitri
Published: June 2022

The laboratory generation and diagnosis of uniform near-critical-density
(NCD) plasmas play critical roles in various studies and applications, such
as fusion science, high energy density physics, astrophysics as well as
relativistic electron beam generation. Here we successfully generated the
quasistatic NCD plasma sample by heating a low-density tri-cellulose acetate
(TCA) foam with the high-power-laser-driven hohlraum radiation. The
temperature of the hohlraum is determined to be 20 eV by analyzing the
spectra obtained with the transmission grating spectrometer. The
single-order diffraction grating was employed to eliminate the high-order
disturbance. The temperature of the heated foam is determined to be
T = 16.8 ± 1.1 eV by analyzing the
high-resolution spectra obtained with a flat-field grating spectrometer. The
electron density of the heated foam is about
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N

e

=
4.0
±
0.3
×

10

20

cm

−
3

under the reasonable
assumption of constant mass density.
Study on Measurement and Drivers of Inclusive Green Efficiency in China
Authors: Shen Yanbo , Fan Shuangshuang , Liu Lipeng
Published: June 2022

The stagnation of growth, huge income gap, and excessive ecological environment degradation are the three issues worldwide. As China entered the stage of high-quality development, it slowed down the economic growth speed and the government paid more attention to social harmony and environment protection. Inclusive green growth efficiency(IGGE) is used to measure the quality of economic development and the degree of coordination among economic, social, and natural systems. Under this background, this paper employs the Data Envelop Analysis (DEA) model to measure IGGE from 2006 to 2019 in 30 provinces of China. Moreover, the temporal and spatial evolution characteristics are revealed and the key drivers of IGGE are explored by the spatial econometric model. The results indicate that the level of provincial IGGI of China has an upward trend in the statistical period and the characteristics of spatial agglomeration have been enhanced. For the drivers of IGGI, the level of opening-up, human capital, and innovation have significant impact on IGGI in China, while other elements are not very important. Finally, some policy suggestions were proposed to promote IGGE in China.
New Insights into the Drill Cutting Characteristics and Fault Distribution in Gas-Containing Coal Seams
Authors: Zhang Xinghua , Wang Haifeng , Zhao Dan , Shang Zheng , Ren Tianwei , Geng Shuaikang , Hao Xiaorui , Liu Chang , Li Jinzhou
Published: June 2022

This study is aimed at detecting small faults in coal seams. With coal seams of different buried depths in Luling Coal Mine, Yuenan Coal Mine, and Sihe Coal Mine with obvious difference in hardness and outburst hazards selected as the research objects, the morphological characteristics of a sample particle size such as the Rosin-Rammler distribution function, average particle size, cumulative mass distribution, and mechanical parameters such as particle strength and

F

value were statistically analyzed through drill cuttings related to sampling points at different positions of faults already known. The results show that the effect of tectonic stress reduces the strength and permeability of the coal after the borehole enters the fault damage zone, resulting in abnormal fluctuations in the morphological characteristics of the drill cuttings. Correspondingly, large-size particles account for a high percentage. The weight analysis discloses that the characteristic particle size of the Rosin-Rammler distribution function has the greatest influence on the determination of fault existence. The analysis of drill cutting characteristics conduces to detecting the distribution of small faults, helps to improve the utilization of mine information, and is of great significance for accident prevention and control.
Effects of Laparoscopic versus Open Surgery for Advanced Gastric Cancer after Neoadjuvant Chemotherapy: A Meta-Analysis
Authors: Huang Kun , Zhong Jie , Jiang Dequan
Published: June 2022

Objective. To evaluate the efficacy of laparoscopy and laparotomy after neoadjuvant chemotherapy in the treatment of advanced gastric cancer by meta-analysis. Methods. Cochrane Library, Embase, and PubMed were searched by computer until December 1, 2021. Literature was screened according to inclusion and exclusion criteria, and relevant data were extracted for meta-analysis using RevMan 5.3. Results. A total of 1027 patients from 11 literature studies were included in this study, including 413 patients in the laparoscopic group and 614 patients in the open group. Meta-analysis showed that the laparoscopic group had less intraoperative bleeding (SMD = −1.11; 95% CI: −1.75–0.47;

P
=
0.0006

), early postoperative exhaust (SMD = −0.45; 95% CI: −0.70–0.20;

P
=
0.0004

), and shorter postoperative hospital stay (SMD = 0.97; 95% CI: 1.69∼0.26;

P
=
0.008

), but had longer the operation time (SMD = 0.65; 95% CI: 0.52∼0.79;

P
<
0.00001

). There was no significant difference in the number of lymph nodes dissected during operation (SMD = −0.45; 95% CI: −0.42–0.19;

P
=
0.45

), the incidence of surgical complications 30 days after operation (OR = 0.78; 95% CI: 0.53∼1.13;

P
=
0.19

), time of first defecation (MD = 0.00; 95% CI: −0.10∼0.10;

P
=
0.98

), and time of first postoperative feeding (MD = −0.05; 95% CI: −0.22∼0.12;

P
=
0.54

) between the two groups. For long-term prognosis, there was no significant difference in the 3-year overall survival rate after operation between the two groups (RR = 0.84; 95% CI: 0.63–1.12;

P
=
0.23

). Conclusion. Compared with the open stomach cancer surgery, laparoscopic gastric cancer surgery has less intraoperative blood loss, shorter hospitalization time, and advantages such as early rehabilitation, postoperative complications rate, and long-term survival, which confirmed the validity and security of the laparoscopic surgery.
[Retracted] The Current Situation and Innovation of News Communication under the Environment of Financial Media
Authors: Wu Yu
Published: June 2022

In order to solve the problem of news communication innovation in the financial media environment, meet the update needs of news communication in the financial media environment, and make up for the shortcomings of the application of emerging media technologies in news communication, it is necessary to improve people's attention to news communication. With the advent of the era of integrated media, the application of emerging media technologies such as data news and robot news to the field of news communication has shaken the status of TV news in communication and affected its news production mode, but it will not replace traditional news, become the “forced mechanism” of traditional news production reform, and boost its reform and promotion. According to the social survey of 100 people, it is found that 88 people believe that under this competition mode, the development and challenges of TV livelihood news coexist. As Yu Guoming, a professor at Renmin University of China, said, “people’s livelihood news is in the process of becoming a butterfly.” TV people’s livelihood news practitioners should reshape their news ideals and establish Internet thinking to face the ever‐changing communication ecological environment. From channel expansion to content integration, from serving users to public opinion guidance, we are committed to building a new mainstream media with the guidance of traditional TV media, content advantages, equal communication, real‐time interaction, and distinctive personality of new media. Only in this way can we obtain enough voice and influence in the highly competitive media environment.
The Modeling Analysis and Effect of CHI3L1 and CD31-Marked Microvessel Density in the Occurrence and Development of Cervical Squamous Cell Carcinoma
Authors: Qin Yanzi , Zhao Wenjun
Published: June 2022

Background. Chitinase-3-like protein 1 (CHI3Ll) has been identified as a novel tumor marker in several cancers. The objective of this study was to detect the expression of Chitinase-3-like protein 1 (CHI3L1) and CD31-labeled microvessel density (MVD) in cervical squamous cell carcinoma (CSCC) and to assess its prognostic impact. Methods. Elivision™ plus immunohistochemical method was used to detect CHI3L1 expression and MVD in different cervical tissues. We analyzed the relationship between CHI3L1 and MVD in CSCC tissues and investigated the relationship between CHI3L1, MVD, and clinicopathological parameters. Univariate and multivariate survival analyses were performed to assess the impact on progression-free survival (PFS) and overall survival (OS). Results. The positive expression rate of CHI3L1 protein in CSCC tissues (69.9%, 72/103) was significantly higher than that in high-grade cervical intraepithelial lesions (53.3%, 32/60), low-grade cervical intraepithelial lesions (25%, 15/60), and normal cervical tissues (16.7%, 10/60). MVD values ranged from 6 to 64 in CSCC, and no microvascular formation was observed in normal cervical tissues, high-grade intraepithelial lesions, or low-grade intraepithelial lesions. The high expression of CHI3L1 and MVD was significantly correlated with the invasion depth, differentiation degree, vascular invasion, and lymph node metastasis of CSCC (allP<0.05). In CSCC, the expression of MVD in the CHI3L1 high-expression group (41.35±9.056) was significantly higher than that in the CHI3L1 low-expression group (23.26±11.000,P<0.05). On univariate Kaplan–Meier analysis, FIGO stage, tumor diameter, lymph node metastasis, vascular invasion, CHI3L1, and MVD of CSCC were related to the prognosis of PFS and OS (allP<0.05); however, CHI3L1 and MVD were not independent prognostic factors. Conclusion. CHI3L1 may be involved in the progression of cervical cancer. Its high expression can promote neovascularization in the tumor microenvironment. CHI3L1 is a potential therapeutic target in the context of cervical cancer.
Intense ү-Ray Bursts following the Interaction of Laser Pulse with Steep
Density Gradients
Authors: Chintalwad S. , Krishnamurthy S. , Morris S. , Ramakrishna B. , Xinxin Wang
Published: June 2022

We investigate the production of intense ү-rays following the
interaction of ultraintense laser pulse with a hybrid combination of
under-dense plasma associated with a thin foil of fully ionized Al or Cu or
Au at the rear side. Relativistic electrons are accelerated following the
interaction of high intensity laser pulses with an under-dense plasma. These
electrons are then stopped by the thin foils attached to the rear side of
the under-dense plasma. This results in the production of intense-ray
bursts. So, the enhancement of photon generation is due to the under-dense
plasma electrons interacting with different over-dense plasma. Using
open-source PIC code EPOCH, we study the effect of different electron
densities in the under-plasma on photon emission. Photon emission
enhancement is observed by increasing the target
Z in the hybrid structure. Hybrid structure
can enhance photon emission; it can increase the photon energy and yield and
improve photon beam divergence. Simulations were also performed to find the
optimal under-dense plasma density for ү-ray production.
Chelerythrine Chloride Inhibits Stemness of Melanoma Cancer Stem-Like Cells (CSCs) Potentially via Inducing Reactive Oxygen Species and Causing Mitochondria Dysfunction
Authors: Li Hong , He Mei , Zhao Pengyu , Liu Ping , Chen Wei , Xu Xuewen
Published: June 2022

Growing evidence has demonstrated that high heterogeneity contributes to poor prognosis and malignancies. The existence of melanoma cancer stem-like cells (CSCs), which are a small subpopulation of melanoma cells, is responsible for tumour resistance to therapies. Recently, plant secondary metabolites have attracted attention because they are considered promising compounds that are isolated from herbs that could help to target different subpopulations of tumours. In the present study, we aimed to identify the antitumourigenic activities of the medicinal compound chelerythrine chloride (CHE) on melanoma CSCs. CHE (30-40 μmol/L) induced apoptosis in A375 and A2058 CSCs. A relatively low dose of CHE (1-5 μmol/L) inhibited the stemness of melanoma CSCs without inducing apoptosis. Coculture of CHE with A375 and A2058 cells also inhibited sphere formation and decreased stemness factors, including Nanog, Oct4, and Sox2. In functional characterizations, we observed that CHE treatment increased both cellular reactive oxygen species (ROS) and mitochondrial ROS, which resulted in a decrease in mitochondrial energy production and sphere formation. Abolishing CHE-induced ROS by N-acetyl-L-cysteine (NAC), a ROS scavenger, reversed the inhibitory effects of CHE on sphere formation, suggesting that CHE-induced ROS are the potential cause of the inhibition of sphere formation. In conclusion, CHE may exert its antitumour effect as an antistem cell natural compound, suggesting that selection of the antistem cell effects of natural compounds might be a promising strategy to overcome the poor prognosis of melanoma due to the presence of CSCs.
Construction and Application of Vocational Training Platform for Enterprise Employees
Authors: Yan Zhai
Published: June 2022

Massive Open Online Courses (MOOCs) are one of the most significant events in the history of education in the twenty-first century, not only tearing down university walls but also greatly increasing the sharing of high-quality educational resources and providing opportunities for everyone who wants to improve themselves. Access to tools for company personnel training and development is becoming increasingly widespread in the sharing economy. New requirements are put forward for enterprise staff training and development. MOOC (Massive Open Online Course) is a new trend of vocational training in recent years. It is important to build a reasonable training incentive mechanism to match it. This paper constructs a two-tier principal-agent mapping among enterprises, training departments, and employees and conducts simulations. It is found that adjusting the pay for performance allocation factor, risk cost factor, and the cost of effort component might boost motivation of employees and thus enhance the organizational performance generated by MOOC training. Enterprises should develop a scientific and reasonable compensation mechanism to create a good training and learning atmosphere, standardize training programs and supporting evaluation mechanisms, maximize the efficacy of MOOC training, and remove hurdles in the training process for training departments and workers through advertising, subsidies, and the creation of training platforms.
Development of a Relative Similarity Degree Based Engineering Construction Multi-Attribute Decision Model and Its Application
Authors: Sui Ling , Liang Xiaojie , Huang Qilong
Published: June 2022

Generally, there are large amounts of uncertain factors in the multi-attribute decision system. By using the gray relational degree and fuzzy gray relational degree, the weights of the comprehensive indexes are extracted. Then, a novel decision model is established based on the concept of relative similarity degree. Finally, comparative research is carried out taking the maritime safety engineering construction in Hunan Province, China, as an example to verify that the developed model is rather effective and practical for its high resolution and sensitivity in multi-attribute decision.
Unsupervised Community Detection Algorithm Based on Graph Convolution Network and Social Media
Authors: Zhou Hua , Zhang Yusha
Published: June 2022

In view of the difficulty and low efficiency of most existing algorithms in detecting large-scale community networks, an unsupervised community detection algorithm based on graph convolution networks and social media is proposed. First, some positive and negative sample nodes are labeled according to the node similarity to complete the graph segmentation. Then, the improved graph convolution network model is used for training to obtain the local community where the given starting node is located. Finally, the local community is optimized by setting the threshold of membership degree, so as to further screen the nodes outside the community and obtain accurate community detection results. The experimental analysis of the proposed algorithm based on Flixster, Douban, and Yelp datasets shows that when the number of community divisions is 12, the modularity values on the three datasets are 0.59, 0.62, and 0.69, respectively, and the standard deviations of F1 are 0.044, 0.048, and 0.040, respectively. Overall, the proposed unsupervised community detection algorithm has better robustness.
Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment
Authors: Yan Haibo
Published: June 2022

In this paper, we propose an assisted driving system implemented with a Jetson nano-high-performance embedded platform by using machine vision and deep learning technologies. The vehicle dynamics model is established under multiconditional assumptions, the path planner and path tracking controller are designed based on the model predictive control algorithm, and the local desired path is reasonably planned in combination with the behavioral decision system. The behavioral decision algorithm based on finite state machine reasonably transforms the driving state according to the environmental changes, realizes the following of the target vehicle speed, and can take effective emergency braking in time when there is a collision danger. The system can complete the motion planning by the model predictive control algorithm and control the autonomous vehicle to smoothly track the replanned local desired path to complete the lane change overtaking action, which can meet the demand of ADAS. The path planner is designed based on the MPC algorithm, solving the objective function with obstacle avoidance function, planning the optimal path that can avoid a collision, and using 5th order polynomial to fit the output local desired path points. In 5∼8 s time, the target vehicle decelerates to 48 km/h; the autonomous vehicle immediately makes a deceleration action and gradually reduces the speed difference between the two vehicles until it reaches the target speed, at which time the distance between the two vehicles is close to the safe distance, obtained by the simulation test results. The system can still accurately track the target when the vehicle is driving on a curve and timely control the desired speed change of the vehicle, and the target vehicle always maintains a safe distance. The system can be used within 50 meters.
MIMO Antenna with Notches for UWB System (MANUS)
Authors: Basir Shahid , Alimgeer Khurram Saleem , A Ghauri Sajjad , Maqsood Moazam , Sarfraz Mubashar , Ali Md Yeakub
Published: June 2022

In this paper, a trinotch band MIMO antenna is designed for upper and lower WLAN (5.1 GHz, 5.5 GHz) i.e., (802.11a/g/n/ac/ax) and satellite X-band (8.5 GHz). The placement of closely found notches at 5.1 GHz and 5.5 GHz is addressed by taking advantage from the placement of the same notch elements at appropriate distances from each other, to split single resonance into biresonances. Similarly, the third notch is produced at 8.5 GHz via a U-shaped slot added in the antenna. 2x1-MIMO antenna with notch bands is expected with better isolation by analysis of co-configurations and cross-configurations.
[Retracted] Investigation of the Disparities in Ultrasound Imaging Features of miR‐323, miR‐409‐3p, and VEGF Expression Scales in Different Clinicopathological Features of Prostate Carcinoma and Their Correlation with Prognosis
Authors: Liu Bao , Wang Jingqi , Cui Yanhua , He Hui
Published: June 2022

Prostate carcinoma (PC) is a disease of the male genitourinary system and a relatively common malignant tumor. In order to investigate the disparities in the expression of microRNA‐323 (miR‐323), microRNA‐409‐3p (miR‐409‐3p), and vascular endothelial growth factor (VEGF) in prostate carcinoma with different clinicopathological features and analyze their correlation with prognosis. Thirty‐two sufferers with prostate carcinoma and forty‐three sufferers with benign prostatic hyperplasia are included. The results show that the detection of miR‐323, miR‐409‐3p, and VEGF scales can provide reference value for clinical guidance of prostate carcinoma prognosis.
Real-Time Automatic Translation Algorithm for Chinese Subtitles in Media Playback Using Knowledge Base
Authors: Yan Li
Published: June 2022

Currently, speech technology allows for simultaneous subtitling of live television programs using speech recognition and the respeaking approach. Although many previous studies on the quality of live subtitling utilizing voice recognition have been proposed, little attention has been paid to the quantitative elements of subtitles. Due to the high performance of neural machine translation (NMT), it has become the standard machine translation method. A data-driven translation approach requires high-quality, large-scale training data and powerful computing resources to achieve good performance. However, data-driven translation will face challenges when translating languages with limited resources. This paper’s research work focuses on how to integrate linguistic knowledge into the NMT model to improve the translation performance and quality of the NMT system. A method of integrating semantic concept information in the NMT system is proposed to address the problem of out-of-set words and low-frequency terms in the NMT system. This research also provides an NMT-centered read modeling and decoding approach integrating an external knowledge base. The experimental results show that the proposed strategy can effectively increase the MT system’s translation performance.
Three Types of Distributional Chaos for a Sequence of Uniformly Convergent Continuous Maps
Authors: Li Risong , Lu Tianxiu , Pi Jingmin , Anwar Waseem
Published: June 2022

Let

h

s

s
=
1

∞

be a sequence of continuous maps on a compact metric space

W

which converges uniformly to a continuous map

h

on

W

. In this paper, some equivalence conditions or necessary conditions for the limit map

h

to be distributional chaotic are obtained (where distributional chaoticity includes distributional chaotic in a sequence, distributional chaos of type 1 (DC1), distributional chaos of type 2 (DC2), and distributional chaos of type 3 (DC3)).
Visual Analysis of Audience and Information Interaction of Brand Communication Data Based on Computer Vision
Authors: Zhang Fuyin , Liu Xinmiao , Zhou Qing
Published: June 2022

With the rapid development of mass media, especially the rapid development of new media represented by the computer Internet in the world, the audience is no longer a reader, and the audience transmitted through the media is not simply the recipient of information but is paid more attention by academic researchers in various fields, and the concept of audience can be extended to many fields. With the advancement of media, the way of brand communication is also changing. The traditional research perspective believes that brand positioning is aimed at consumers, but from the perspectives of both sides, brand positioning should broaden its horizons and cover all audiences who receive brand information. The article takes the integration of “cold land black soil” agricultural product brands as the research core. First, the relevant concepts of “cold land black soil” and “agricultural product brand integration” are given the normative definition of the article research, and qualitative analysis is used to analyze the “cold land black soil.” The status quo of the integration of “Black Earth” agricultural product brands is summarized from the aspects of integration positioning, existing products, base construction, business projects, and sales network construction. The main problems are relatively weak, imperfect marketing strategies, and loopholes in quality supervision; secondly, the analytic hierarchy process (AHP) is used to make a comprehensive quantitative analysis of the related factors affecting the brand integration of “black soil cold” agricultural products, and determine the brand awareness and consumer awareness.
Prospects and Challenges of Using Machine Learning for Academic Forecasting
Authors: Onyema Edeh Michael , Almuzaini Khalid K. , Onu Fergus Uchenna , Verma Devvret , Gregory Ugboaja Samuel , Puttaramaiah Monika , Afriyie Rockson Kwasi
Published: June 2022

The study examines the prospects and challenges of machine learning (ML) applications in academic forecasting. Predicting academic activities through machine learning algorithms presents an enhanced means to accurately forecast academic events, including the academic performances and the learning style of students. The use of machine learning algorithms such as K-nearest neighbor (KNN), random forest, bagging, artificial neural network (ANN), and Bayesian neural network (BNN) has potentials that are currently being applied in the education sector to predict future events. Many gaps in the traditional forecasting techniques have greatly been bridged by the use of artificial intelligence-based machine learning algorithms thereby aiding timely decision-making by education stakeholders. ML algorithms are deployed by educational institutions to predict students’ learning behaviours and academic achievements, thereby giving them the opportunity to detect at-risk students early and then develop strategies to help them overcome their weaknesses. However, despite the benefits associated with the ML approach, there exist some limitations that could affect its correctness or deployment in forecasting academic events, e.g., proneness to errors, data acquisition, and time-consuming issues. Nonetheless, we suggest that machine learning remains one of the promising forecasting technologies with the power to enhance effective academic forecasting that would assist the education industry in planning and making better decisions to enrich the quality of education.
Serum Cortisol, 25 (OH)D, and Cardiovascular Risk Factors in Patients with Type 2 Diabetes Mellitus
Authors: Jin Yuxi , Wei Dandan , Liu Pengling , Chen Fei , Li Rongrong , Zhang Jinyu , Zhang Ruyi , Liu Zuoxiang , Huo Wenqian , Li Linlin , Wang Chongjian , Ban Jinbao , Mao Zhenxing
Published: June 2022

Background and Aims. The effects of cortisol on cardiovascular diseases (CVD) and CVD risk are unknown, especially in patients with type 2 diabetes mellitus (T2DM). Furthermore, it is unclear whether 25 (OH)D can alter the associations of cortisol with CVD and CVD risk factors. Thus, the present study was to investigate the associations of serum cortisol with CVD and CVD risk factors and whether 25 (OH)D altered these associations among patients with T2DM. Materials and methods. A total of 762 patients diagnosed with T2DM were recruited. The levels of serum cortisol and 25 (OH)D were measured with a liquid chromatography-tandem mass spectrometry. Logistic regression and linear regression were used to assess the association of cortisol with CVD and multiple cardiovascular risk factors. Modification analyses were performed to identify whether 25 (OH)D altered the above associations. Results. A 1 SD increase in cortisol was associated with a higher prevalence of stroke (odds ratio (OR): 1.25, 95% confidence interval (CI): 1.05, 1.50). Elevated cortisol was associated with related cardiovascular risk factors, including deceased ß cell function, high-density lipoprotein-cholesterol (HDL-C), and fasting insulin, as well as increased triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), fasting plasma glucose (FPG), and glycated hemoglobin (HbA1c). In addition, modification analyses suggested that the associations of cortisol with ß cell function, fasting insulin, FPG, and HbA1c were modified by 25 (OH)D. Conclusions. Serum cortisol was associated with the prevalence of stroke and cardiovascular risk factors, and the associations of cortisol with cardiovascular risk factors were moderated by 25 (OH)D, suggesting that T2DM patients with exposure to lower 25 (OH)D levels and higher cortisol levels were more susceptible to have higher cardiovascular risk factors.