bluuebunny/crossref_metadata_2025 huggingface dataset:
The $$\sin 2\phi _h$$ azimuthal asymmetry of pion production in SIDIS within TMD factorization
Authors: Li Hui , Lu Zhun
Published: August 2022

We study the $$\sin 2\phi _h$$

sin
2

ϕ
h

azimuthal asymmetry of charged and neutral pion productions off the longitudinally polarized nucleon targets in semi-inclusive deeply inelastic scattering (SIDIS) process within the transverse momentum dependent (TMD) factorization. The asymmetry is contributed by the convolution of the TMD distribution $$h_{1L}^{\perp }$$

h

1
L

⊥

and the Collins fragmentation function $$H_{1}^\perp $$

H

1

⊥

. We adopt the Wandzura–Wilczek-type (WW-type) approximation for $$h_{1L}^{\perp }$$

h

1
L

⊥

and two different parametrizations on the nonperturbative Sudakov form factor for $$h_{1L}^{\perp }$$

h

1
L

⊥

and $$H_{1}^\perp $$

H

1

⊥

. We estimate the $$\sin 2\phi _h$$

sin
2

ϕ
h

asymmetry at HERMES and CLAS and compare them with the corresponding experimental data. We also provide the prediction at kinematical configuration of CLAS12. It is shown that our theoretical calculation can describe the HERMES and CLAS data, except the asymmetry of the $$\pi ^-$$

π
-

production off proton target at HERMES and CLAS. We also find that different choices of the nonperturbative part of TMD evolution lead qualitatively similar results.
Magma accumulation underneath Laacher See volcano from detrital zircon in modern streams
Authors: Schmitt Fabian H. , Schmitt Axel K. , Gerdes Axel , Harvey Janet C.
Published: August 2022

The detrital zircon grains from two catchments in the East Eifel Volcanic Field consist of crystals sourced from proximal deposits of Quaternary trachytic–phonolitic volcanic centres, Hocheifel Paleogene trachytic rocks and the Paleozoic basement. The outcrop patterns indicate the derivation of a significant detrital zircon population from deposits of the
c.
13 ka Lower and Upper Laacher See Tephra. Intercalated Middle Laacher See Tephra, consisting of valley-filling ignimbrites, by contrast, is a minor zircon source despite thick ignimbrite deposits in one of the catchments. This reflects zircon undersaturation in the hotter and less evolved phonolite tapped from deeper parts of the magma reservoir as the eruption unfolded, as well as fewer antecrysts recycled from the plutonic carapace. A previously unrecognized zircon age population of
c.
63 ka, mostly derived from Lower Laacher See Tephra, marks the onset of the presence of evolved magma at the top of the reservoir. Correlative Hf and O isotopic analysis reveals significant crustal interactions during phonolite differentiation in a shallow reservoir, with the assimilation of cogenetic, but hydrothermally modified, plutonic margins. Raman spectra indicate that magmatically heated crustal zircon xenocrysts are absent. Detrital zircon can thus provide more integrated insights into the evolution of Quaternary magma systems than the punctuated sampling of volcanic or cogenetic plutonic rocks.

Supplementary material:
Data tables presenting U–Th, U–Pb, O–Hf and Raman geochronology results are available at
https://doi.org/10.6084/m9.figshare.c.6123823
Honeyword-based Authentication Techniques for Protecting Passwords: A Survey
Authors: Chakraborty Nilesh , Li Jianqiang , Leung Victor C. M. , Mondal Samrat , Pan Yi , Luo Chengwen , Mukherjee Mithun
Published: August 2022

Honeyword (or decoy password) based authentication, first introduced by Juels and Rivest in 2013, has emerged as a security mechanism that can provide security against server-side threats on the password-files. From the theoretical perspective, this security mechanism reduces attackers’ efficiency to a great extent as it detects the threat on a password-file so that the system administrator can be notified almost immediately as an attacker tries to take advantage of the compromised file. This paper aims to present a comprehensive survey of the relevant research and technological developments in honeyword-based authentication techniques. We cover twenty-three techniques related to honeyword, reported under different research articles since 2013. This survey paper helps the readers to (i) understand how honeyword based security mechanism works in practice, (ii) get a comparative view on the existing honeyword based techniques, and (iii) identify the existing gaps that have yet to be filled and the emergent research opportunities.
Communication—Novel Verification of an Impedance Model Considering Electrode Porosity and Li-Ion Diffusion in Lithium-Ion Batteries
Authors: Fujihara Yui , Kobayashi Takeshi
Published: August 2022

A model composed of a transmission-line structure with a Randles-type circuit is regarded as a useful model for lithium-ion battery electrodes. However, when used for the impedance fitting analyses, the parameters needed to be given for calculations, the parameters to be practically obtained, and the accuracy of the obtained values have not been clarified yet. Herein, we reveal that parameters in this model can practically be obtained simultaneously from the impedance fitting calculations when the values of transmission-line length and diffusion length are provided. Then, their accuracy is investigated by examining the correlations between the parameters in the fitting calculations.
Simulation of Light Intensity and Nano-Resistor Distribution in SSI-LEDs Using Python as a Framework
Authors: Samuel A. , Kuo Y.
Published: August 2022

The solid-state incandescent LED is a device that emits broad spectrum warm white light from nano-resistors through black body radiation. Previously, the steady state operation of the device was simulated with the finite element analysis method using COMSOL Multiphysics, while the light intensity distribution was separately simulated using MATLAB. There were limitations in these studies with respect to the number, size variation, and distribution of nano-resistors. In this paper, a new Python framework is developed to simulate light emission and perform COMSOL simulations for the same nano-resistor arrangement. The framework circumvents the nano-resistor count and distribution limitations in previous studies. This allows for more sophisticated simulations of many more nano-resistors than previously possible, and investigation into the effect of nano-resistor count on the device.
Analysis of Raman, Mossbauer Spectra and Dielectric Behaviour of Sol-Gel Prepared Ni1-xCoxFe2O4 Spinel Ferrites
Authors: Sowjanya P. , Pavan Kumar N. , Ganesh K. , Ramana Reddy M. V.
Published: August 2022

Single-phase spinel ferrites with formula of Ni1−xCoxFe2O4 where x values are varying from 0 to 1 with 0.25 steps were synthesized by sol-gel technique. Microstructure, cation distribution, valence state of iron and dielectric properties have been discussed. From the deconvoluted Raman spectra the positions of five Raman modes and intensity variation was calculated. Cationic arrangement in A and B sites was estimated from deconvoluted Raman peaks. The characteristic magnetic patterns of ferrites were given by room temperature Mossbauer spectra. Parameters like isomer shift, hyperfine magnetic field, quadrupole shift were estimated for all ferrites after fitting Mossbauer spectra. From XPS (X-ray Photoelectron Spectroscopy) analysis +3 ionic state for iron was found. Dielectric parameters were also studied for ferrites at room temperature. NiFe2O4 and Ni0.75Co0.25Fe2O4 had high values of dielectric permittivity, AC conductivity and loss tangent. The ferrite Ni0.5Co0.5Fe2O4 showed very less dielectric constant and conductivity values and dielectric loss resonance peak was around 1 kHz.
Study of Structural and Electrical Properties of Li and Nb Modified BNT Thin Film and Observation of Enhanced Electrocaloric Effect near Room Temperature
Authors: Singh Amrita , Gupta Vinay
Published: August 2022

A detailed investigation was done on Li and Nb modified Bi0.5Na0.5TiO3 (BNT) thin films where structural, dielectric, ferroelectric and electrocaloric properties were studied. All thin films were synthesized using pulsed laser deposition. Structural investigation revealed that addition of Li and Nb do not alter the parent rhombohedral structure and all compositions were observed to have rhombohedral structure. However Ferroelectric and dielectric analysis clearly revealed that addition of Li and Nb affect the Ferroelectric (FE) -Antiferroelectric (AFE) phase transition temperature (T

d
, depolarization temperature) and bring it down towards the room temperature and consequently a mixed phase of FE and AFE was observed near room temperature for composition x = 0.06. A sudden change in polarization in x = 0.06 composition with increasing temperature, subsequently leading to significantly high (∂P/∂T)

E
along with FE-AFE transition contributed to large electrocaloric (ΔT) = − 4.32 K in composition x = 0.06 ∼ 35 °C.
Intermittent Hypoxia and Atherosclerosis: From Molecular Mechanisms to the Therapeutic Treatment
Authors: Luo Binyu , Li Yiwen , Zhu Mengmeng , Cui Jing , Liu Yanfei , Liu Yue
Published: August 2022

Intermittent hypoxia (IH) has a dual nature. On the one hand, chronic IH (CIH) is an important pathologic feature of obstructive sleep apnea (OSA) syndrome (OSAS), and many studies have confirmed that OSA-related CIH (OSA-CIH) has atherogenic effects involving complex and interacting mechanisms. Limited preventive and treatment methods are currently available for this condition. On the other hand, non-OSA-related IH has beneficial or detrimental effects on the body, depending on the degree, duration, and cyclic cycle of hypoxia. It includes two main states: intermittent hypoxia in a simulated plateau environment and intermittent hypoxia in a normobaric environment. In this paper, we compare the two types of IH and summarizes the pathologic mechanisms and research advances in the treatment of OSA-CIH-induced atherosclerosis (AS), to provide evidence for the systematic prevention and treatment of OSAS-related AS.
Physical Activity Knowledge, Attitude, and Behaviours Among Adolescents in the Kingdom of Saudi Arabia Prior to and during COVID-19 Restrictions
Authors: Almutairi Naif , Burns Sharyn , Portsmouth Linda
Published: August 2022

Background. The prevalence of childhood and adolescent obesity has increased dramatically and poses a major public health threat globally. In the Kingdom of Saudi Arabia (KSA), the main cause of adolescent obesity is an increase in physical inactivity and unhealthy eating habits due to lifestyle changes. This study reports on factors associated with physical activity (PA) prior to and during the coronavirus disease of 2019 (COVID-19) among middle school students in Jeddah, KSA. Method. A cross-sectional online survey was conducted in Jeddah, KSA among 1500 middle school students aged 11 to 15 years. Sociodemographic characteristics; PA knowledge, attitude, and behaviours; and information about the impact of COVID-19 on PA were collected. Knowledge, attitude, and behaviours of PA before and during COVID-19 restrictions and between gender were compared. Regression analyses were conducted to assess the determinants of PA. Results. Female students were significantly more likely to report better knowledge of PA compared to males (p<0.001). However, males were significantly more likely to participate in PA compared to females (p<0.001). Approximately 60% of students reported their PA decreased during COVID-19 isolations. Most students did not participate in the recommended levels of daily PA during COVID-19 lockdowns and school closures. After adjusting for demographics, knowledge, and attitude, students who did not usually participate in school sports (p=0.017) and as members of clubs (p=0.002) were less likely to be active during COVID-19 lockdown. Conclusions. Efforts to enhance PA should be implemented through coordinated school and community-based programs to achieve the recommended PA among adolescents at home and in schools. Policy to ensure students receive PA opportunities at school is recommended.
[Retracted] An Image Processing Approach for Detection of Prenatal Heart Disease
Authors: Selvan Saravana , Thangaraj S. John Justin , Samson Isaac J. , Benil T. , Muthulakshmi K. , Almoallim Hesham S. , Ali Alharbi Sulaiman , Kumar R. R. , Thimothy Sojan Palukaran
Published: August 2022

Prenatal heart disease, generally known as cardiac problems (CHDs), is a group of ailments that damage the heartbeat and has recently now become top deaths worldwide. It connects a plethora of cardiovascular diseases risks to the urgent in need of accurate, trustworthy, and effective approaches for early recognition. Data preprocessing is a common method for evaluating big quantities of information in the medical business. To help clinicians forecast heart problems, investigators utilize a range of data mining algorithms to examine enormous volumes of intricate medical information. The system is predicated on classification models such as NB, KNN, DT, and RF algorithms, so it includes a variety of cardiac disease‐related variables. It takes do with an entire dataset from the medical research database of patients with heart disease. The set has 300 instances and 75 attributes. Considering their relevance in establishing the usefulness of alternate approaches, only 15 of the 75 criteria are examined. The purpose of this research is to predict whether or not a person will develop cardiovascular disease. According to the statistics, naïve Bayes classifier has the highest overall accuracy.
Anatomical Evaluation of Root and Root Canal Morphology of Permanent Mandibular Dentition among the Saudi Arabian Population: A Systematic Review
Authors: Mashyakhy Mohammed , AlTuwaijri Nada , Alessa Reuof , Alazzam Nouf , Alotaibi Bushra , Almutairi Rahaf , Alroomy Riyad , Thota Gunaranjan , Melha Abdulaziz Abu , Alkahtany Mazen F. , Almadi Khalid H. , Chohan Hitesh , Tarrosh Mohammed , Mirza Mubashir Baig
Published: August 2022

This study aimed to conduct a compendious review of root canal morphology of “permanent mandibular teeth in different regions of Saudi Arabia” to obtain a large sample representing the total population. A detailed search through the databases Web of Science, Scopus, and PubMed was conducted following the PRISMA guidelines. The data were analyzed based on the following inclusion criteria: original full‐length original articles that reported the variables of interest “(number of roots, number of canals, Vertucci’s classification system and C‐shaped canals or mid‐mesial canals)” of the mandibular teeth and conducted on Saudi subjects. The retrieved data were presented as frequencies and percentages. The results revealed that 56.6% of mandibular central incisors had one canal and Vertucci type I (56.6%), while 57.4% of the mandibular lateral incisors had one canal, with Vertucci types I and III most frequent. In mandibular canines, 91.8% had one canal and 8.2% had two canals. Most of the mandibular first premolars had one root (86.6%), while almost all mandibular second premolars (91.5%) had one canal, and 96.9% had Vertucci type I configuration. Among the mandibular first molars, three and four canals were prevalent in 58.7% and 40.6%, respectively. The majority of mesial roots had Vertucci type IV (60.6%), and most of distal roots had Vertucci type I (72.2%). Most of the mandibular second molars had three canals (87.3%) and showed Vertucci type IV (39.4%) canals for mesial roots and Vertucci type I (95.6%) for distal roots. The C‐shaped canals were seen in 8% of first premolars and 9.8% of second molars. The middle mesial canal was found in 4.2% and 0.4% of first and second molars, respectively. This review could represent “the population of Saudi Arabia as the included samples were combined from different regions of the country.” Some variations were noticed within the same group of teeth from different regions. However, the overall results of combined samples were comparable to the other international studies.
Detectable, Traceable, and Manageable Blockchain Technologies BHE: An Attack Scheme against Bitcoin P2P Network
Authors: Yang Jiale , Sun Guozi , Xiao Rongyu , He Hansen
Published: August 2022

As the most successful cryptocurrency, bitcoin has become the primary target of attackers. The security risks existing in bitcoin network (P2P networks) may pose serious threats to itself. It has been proved that network attackers of the autonomous system level could isolate a specific set of bitcoin nodes using prefix hijacking attacks; since this attack achieves bitcoin partition by deleting all data packets of the victim node, it is easy to be discovered by the victim node, and cannot maintain a long-term connection (the partition will disappear after canceling the BGP hijacking) (Apostolaki M et al. (2017)). This paper proposes a new attack scheme—eclipse attack method based on BGP hijacking (BHE). The attack can occupy the network connection of the victim node, and only need to delete part of the TCP handshaking packets of the victim node during the attack, and it makes the attack more hidden and can occupy the network connection of the victim node for a long time. The innovation of the BHE attack is that it can control the peering decision of the victim node by controlling the victim node’s internal peer database (new table and tried table) and preventing the victim node from establishing a good connection. It enables the attacker to occupy all network connections of the victim node and become its natural network middleman. We verify the feasibility of the BHE attack through experimental evaluation and demonstrate that an attacker who can launch BGP hijacking may occupy all connections of the victim node within 20 minutes (ignoring the time of traffic diversion). To reduce the attack’s impact, the paper provides some countermeasures that can use in practice according to the basic characteristics of the attack.
Enterprise Financing Risk Control of Machine Learning Combined with Blockchain Technology
Authors: Li Jing
Published: August 2022

In order to scientifically and reasonably control the financing risk of supply chain enterprises and minimize the financing risk of the enterprises, this paper introduces the relevant theories of machine learning algorithm and blockchain technology, proposes an enterprise financing risk control model based on the combination of machine learning algorithm and blockchain technology, and uses system dynamics to dynamically evaluate the system risk. Finally, the specific changes of each subsystem over time are obtained. Through the risk evaluation results, it can be seen that the risk level of the blockchain system has decreased from the initial 4.3 to 0.3 after two months of transition, and the risk control effect is very significant.
Combined Effect of Color and Shape on Cognitive Performance
Authors: Jin Tao , Zhou Shufang , Lang Xiaocui , He Jiamin , Wang Wenrui
Published: August 2022

Color and shape are important media for information perception, cognition, judgment, and decision making. However, the combined effects of color and shape on cognitive ability have not been widely investigated. In this paper, the perceptual load paradigm is used to investigate the combined effect on icon cognition. Thirty-four healthy subjects (17 males and 17 females, aged 20–26 years, mean = 24, and SD = 4.51) participated in three behavioral experiments using an in-subject design, in which response time and accuracy data were recorded. In a redesigned behavioral experiment, EEG data were recorded from another 20 healthy subjects (10 males and 10 females, aged 20–26 years, mean = 23, and SD = 4.23). Experiment A used color block, graph, and color graph combination icon as the target stimulus. The results indicated that the combination effect was insignificant at high cognitive load, while the combination effect of color and shape at medium and low cognitive loads promoted icon cognition. In experiment B1, both positive and inverted shapes were used as target stimuli, in which the inverted shapes hid the semantic meaning of the shapes. The results showed that the semantic meaning in the combination effect significantly improved cognitive performance at medium and low cognitive loads. In experiment B2, shapes of different complexity were used as target stimuli. The results showed that reducing shape complexity improved cognitive performance with a single color, but shape complexity had no significant effect on cognitive performance with multiple colors. Experiment C used EEG experiments to verify the results of behavioral experiments. The activation degree of combination icons in the occipital lobe was higher than that of shape icons, indicating that the cognitive mechanism of combination and shape icons was not completely the same. Our study shows that the combined effect of color and shape significantly improves cognitive performance at moderate-to-low cognitive loads, in which color and semantic information play a key role.
[Retracted] Exploration and Analysis of Educational History from the Perspective of Educational Environmental History and Environmental History
Authors: Li Wei , Li Li
Published: August 2022

The emergence of environmental historiography, for the first time, organically combined the history of the environment and human history and began to pay attention to the close relationship between human social changes and environmental changes. This paper explores the impact of environmental history on education from the perspective of environmental history. This paper explores and analyzes the history of the educational environment from the perspective of environmental history and studies the laws and characteristics behind the evolution of the relationship between education and environment. This paper analyzes the influence of environmental history on the three views of college students under environmental education. Further analysis of educational environmental history is improved to improve the three views of college students and promote the social development of research significance. The study of educational environmental history is of great significance to enlarge the field of educational history research, enrich the content of educational history research, and perfect the discipline construction of educational history. At the same time, the environmental perspective and ecological consciousness of educational environmental history research are the embodiment and adherence of Marxist historical materialism and environmental view.
Expression of Transient Receptor Potential Channel Genes and Their Isoforms in Alpha-Cells and Beta-Cells of Human Islets of Langerhans
Authors: Matos Gabriel M. , Andersson Björn , Islam Md. Shahidul
Published: August 2022

Expression of the transient receptor potential (TRP) channel genes and their isoforms in the alpha-cells and the beta-cells of the human islets of Langerhans has not been studied in detail. In this study, we have analyzed the RNA sequencing data obtained from purified human alpha-cells and beta-cells to identify the genes and their isoforms that are expressed differentially in these two cell types. We found that TRPC1, TRPC4, TRPC7, TRPM3, and TRPML1 were differentially expressed in these two cell types. TRPC1, TRPM3, and TRPML1 were expressed at a higher level in the beta-cells than in the alpha-cells. TRPC4 and TRPC7 were expressed at a higher level in the alpha-cells than in the beta-cells. The TRPC4-206 isoform was expressed at a 45-fold higher level in the alpha-cells compared to the beta-cells. Expression of TRPM3-202 was 200-fold and TRPM3-209 was 25-fold higher in the beta-cells than in the alpha-cells. Our study has demonstrated the relative abundance of expression of the TRP channel genes and their isoforms in the human alpha-cells and the beta-cells.
Design and Implementation of Multimedia Network Intelligent Control Robot Based on Software Definition
Authors: Zhang Hui
Published: August 2022

In order to solve the problem that the delay of wireless network and complex operating environment affects the stability and operating performance of teleoperation system, a method of intelligent control robot based on multimedia network defined by software is proposed in this paper. In the network environment established based on the software definition, the gain of the system control is increased according to the network delay to improve the operating performance of the system, and the output of parameters is dynamically adjusted to adapt to the stability of the system in complex environment. The experimental results show that the robot control system can obtain the best control stability by continuously adjusting the relevant parameters. After the simulation test, the final setting is

k

p

=
0.8
,

k

i

=
0.001
,

k

d

=
0

. Conclusion. Based on the intelligence of gain scheduling control algorithm, the control effect of fuzzy control can be significantly improved when the network delay is large.
College English Teaching Mode Based on Output-Oriented Method in Artificial Intelligence Environment
Authors: Yuan Qianying , Dung Vinh Thuy
Published: August 2022

The rapid development of educational informatization has brought great challenges to college English Language Teaching, and the traditional classroom education mode can no longer meet the needs of today’s college English Language Teaching. Therefore, College English Language Teaching should strengthen the construction of mixed education mode and effectively combine online education with offline education. “Output oriented approach” is a new foreign language education theory constructed by Chinese scholars, which has attracted extensive attention of foreign language scholars and front-line teachers, and is expected to solve the problem of “separation of learning and application” of College English in China. In order to build a bridge between theory and practice, this study adopts the method of action research to explore and optimize the implementation of “output-oriented approach” in real college English Language Teaching situations in H stages, collect and analyze qualitative (student feedback, peer evaluation) or quantitative data (language test, output text), explore the education effect while making the theory “fall to the ground,” and review the theory from the perspective of practice to supplement and enrich it. In this study, the original linear education process of “output-oriented method” was reconstructed, and a new education process model was established, which made it more instructive in practice.
Intelligent Advertising Design Strategy Based on Internet of Things Technology
Authors: Gai Xi
Published: August 2022

With the rapid development of modern economy, the advertising industry is crucial to economic and social development, and information technology has made a significant contribution to the development. Outdoor advertising is not only an important part of a city’s image but also reflects the overall appearance of a city’s economy, politics, and culture. With the emergence of IoT technology, new advertising communication modes are constantly updated. The Internet of Things is at the forefront of information technology and provides a major impetus for the development of the advertising industry today. This paper studies the intelligent advertising design strategy based on the Internet of Things technology, which is a truly responsive advertising communication mode that serves the needs of the audience. Through multisensory interaction design, an effective interaction between people and advertisements can be formed. And it adopts a variety of crawling strategies to analyze the intelligent web advertisement crawler system to collect advertisement data in the Internet. The research results show that the repetition rate of advertisements captured by the best priority strategy is stable at around 25%, and the overall advertising information repetition rate is the lowest.
Effects of Dapagliflozin in Combination with Metoprolol Sustained-Release Tablets on Prognosis and Cardiac Function in Patients with Acute Myocardial Infarction after PCI
Authors: Zhang Hao , Liu Zeyan
Published: August 2022

Objective. To find the effects of dapagliflozin in combination with metoprolol sustained-release tablets on cardiac function and prognosis in acute myocardial infarction patients after PCI. Methods. A total of 84 patients with myocardial infarction who experienced PCI from February 2020 to February 2022 were included and allocated into 3 groups: groups A, B, and C (

n
=
28

/per group). Group A was given dapagliflozin combined with metoprolol sustained-release tablets, group B was given dapagliflozin, and group C was given the placebo. Left ventricular end diastolic diameter (EDD), left ventricular ejection fraction (LVEF), and end systolic diameter (ESD) were measured before and after treatment in all groups; myocardial infarction areas were matched among all three groups at 3 months posttreatment. The serum concentrations of interleukin-6 (IL-6), hypersensitive C-reactive protein (hs-CRP), superoxide dismutase (SOD), and malondialdehyde (MDA) were detected in all three groups before and after treatment. The levels of N-terminal probrain natriuretic peptide (NT-pro BNP), lipoprotein (a) (Lp(a)), ischemia-modified albumin (IMA), and secreted frizzled-related protein 5 (SFRP5) were also detected in the serum of all groups. Adverse reactions and cardiovascular adverse events were matched between all groups. Results. The levels of LVEF in groups A and B were increased after treatment, while the levels of EDD and ESD were decreased. The improvement degree of LVEF and EDD levels in groups A and B was found greater compared to group C (

P
<
0.05

). No significant difference was found in myocardial infarction area among the three groups at 3 months postoperation (

P
>
0.05

). Serum concentrations of MDA, hs-CRP, IL-6, IMA, NT-proBNP, and Lp(a) were found to decrease in all three groups after treatment, while the levels of SOD and SFRP5 were increased. The improvement degree of serum hs-CRP, IL-6, SOD, MDA, IMA, NT-proBNP, Lp(a), and SFRP5 levels was greater in both groups A and B compared to group C. The improvement degree of serum hS-CRP, SOD, MDA, IMA, Nt-probNP, Lp(a), and SFRP5 levels was significantly greater in group A compared to group B (

P
<
0.05

). No adverse effect was observed in all three groups (

P
>
0.05

). Total occurrence of cardiovascular adverse effects such as stent thrombosis, heart failure, ventricular fibrillation, and death was 10.71% in group A, 25.00% in group B, and 53.75% in group C. There was statistical significance in the onset of cardiovascular adverse effects 3 months postoperation among all three groups (

P
<
0.05

). Conclusion. Dapagliflozin with metoprolol sustained-release tablets can be effective in improving the heart function, inflammatory response, oxidative stress response, and prognosis in patients after PCI.
Actinomycosis of the Lower Lip: Report of a Case
Authors: Shigeoka Manabu , Takeda Daisuke , Akashi Masaya
Published: August 2022

Actinomycosis is usually a chronic infectious disease caused by Actinomyces species, which are anaerobic Gram-positive bacteria that normally colonize the human oral cavity and digestive and urogenital tracts. Although this lesion often occurs on soft tissue around the mandible, cases localized in the lip are very uncommon. We encountered a patient with actinomycosis in the lower lip. A 76-year-old woman with a 5-mm submucosal nodule of the lower lip was referred to our hospital from a dental clinic. The clinical diagnosis was a benign submucosal tumor. Total excision and histological examination were conducted. No oral antibiotic therapy was prescribed. The histological diagnosis was actinomycosis. The postoperative course was uneventful with no signs of recurrence during the 6 months after surgery.
Downregulation of LEMD1-AS1 and Its Influences on the Diagnosis, Prognosis, and Immune Infiltrates of Epithelial Ovarian Cancer
Authors: Yang Xiaoju , Zhou Shen , Li Chunlin , Huang Li , Chen Chuanqi , Tang Xiao , Su Xingyan , Zhu Hongcheng
Published: August 2022

Previous studies have confirmed long noncoding RNA LEMD1-AS1 (LEMD1-AS1) as a functional factor in several tumors. The present work is aimed at exploring the prognostic and diagnostic values of LEMD1-AS1 in patients with epithelial ovarian cancer (EOC). We examined the expressions of LEMD1-AS1 in pan-cancer from TCGA microarray datasets and GTEx Project. The expressions of LEMD1-AS1 were detected by qRT-PCR in EOC specimens and normal ovarian specimens from 30 EOC patients. The

χ

2

test was applied to compare the clinicopathological characteristics of different groups. ROC curves were established to determine the diagnostic values of LEMD1-AS1 in screening EOC tissues. The association of LEMD1-AS1 expression with clinical outcome was determined by the Kaplan-Meier methods and COX assays. A decreased expression of LEMD1-AS1 was observed in EOC tissues compared to matched normal specimens (

p
<
0.01

). Low LEMD1-AS1 expression could be used to distinguish EOC from adjacent normal specimens. A clinical study revealed that patients with low LEMD1-AS1 expression have a shorter overall survival (

p
=
0.035

) and progress-free interval (

p
=
0.041

) than those with high LEMD1-AS1 expression. The Spearman correlation test revealed that LEMD1-AS1 expressions were negatively associated with the expressions of neutrophil and myeloid dendritic cell. Overall, our finding suggested that LEMD1-AS1 may have potential roles as a potential biomarker and/or a therapeutic target in EOC.
Multirobot Coverage Path Planning Based on Deep Q-Network in Unknown Environment
Authors: Li Wenhao , Zhao Tao , Dian Songyi
Published: August 2022

Aiming at the problems of security, high repetition rate, and many restrictions of multirobot coverage path planning (MCPP) in an unknown environment, Deep Q-Network (DQN) is selected as a part of the method in this paper after considering its powerful approximation ability to the optimal action value function. Then, a deduction method and some environments handling methods are proposed to improve the performance of the decision-making stage. The deduction method assumes the movement direction of each robot and counts the reward value obtained by the robots in this way and then determines the actual movement directions combined with DQN. For these reasons, the whole algorithm is divided into two parts: offline training and online decision-making. Online decision-making relies on the sliding-view method and probability statistics to deal with the nonstandard size and unknown environments and the deduction method to improve the efficiency of coverage. Simulation results show that the performance of the proposed online method is close to that of the offline algorithm which needs long time optimization, and the proposed method is more stable as well. Some performance defects of current MCPP methods in an unknown environment are ameliorated in this study.
Diagnostic Accuracy of Periapical Radiography in Detection and Measurement of the External Root Resorption in Primary Molars: A Single-Blind Prospective Clinical Study
Authors: Taravati Shirin , Balak Zohreh , Rakhshan Vahid
Published: August 2022

Introduction. Identifying the external root resorption plays an important role in treatment planning for deciduous teeth. Although proper accuracy of digital radiography in the diagnosis of external root resorption has been established in permanent dentition, it cannot be at all generalized to the primary root being superimposed by the succeeding permanent teeth. Interestingly, no study has assessed this in primary teeth yet. Thus, this study was undertaken for the first time. Methods. This was a single-blind prospective clinical diagnostic study performed on 501 observations (observed by 3 observers) pertaining to 167 roots of 45 maxillary/mandibular primary molars (in 6–8-year-old patients) which were indicated for extraction and did have succeeding permanent teeth. Digital parallel periapical radiographs were taken before dental extraction using a PSP sensor. Radiographs were printed and examined by two pediatric dentists. After the extraction, the extent of resorption was directly measured, twice, by third and fourth observers blinded to radiographic estimates. Radiographic errors and absolute errors (mm) were calculated. Various parameters were analyzed statistically. Results. Of the roots, 56.3% were really resorbed with (mean = 5.01 ± 2.10 mm). First/second observers failed to identify 19.6% and 38.3% of roots, respectively. Average errors were −0.77 ± 2.31 and 0.14 ± 2.19 mm in girls and boys, respectively (

P
=
0.043

, t-test). The factors “side, jaw, tooth type, and root type” did not affect errors (

P
>
0.05

). Average absolute errors were 1.79 ± 1.47  mm (significantly above zero,

P
<
0.0005

). No evaluated factor affected it (

P
>
0.1

). Actual lesion sizes correlated with errors (Pearson R = 0.682,

P
<
0.0005

) but not with absolute errors (

P
=
0.464

). Conclusion. Although many deciduous roots might be missed, digital radiography might still provide rather a good accuracy in diagnosis and measurement of external root resorption up to about 1.8 mm absolute error. Observers might overestimate resorption sizes in girls and in cases with actual lesions smaller than 3 mm. Size of the lesion can influence the direction of error (shortening/elongation), but not its directionless magnitude.
Designing an Accounting Information Management System Using Big Data and Cloud Technology
Authors: Dai Qin
Published: August 2022

With the rapid development of science and technology pushing people into the information age, the appearance of information technology is a major change for the accounting industry, which will redefine the traditional accounting profession. The new management techniques and concepts also gradually change the traditional accounting working mode by promoting the development of accounting professionals from traditional accounting to accounting information. In recent years, cybercrime and attacking information system vulnerability have occurred frequently. This study utilizes the model and technology in the design of an accounting information management system by simply explaining the idea of cloud technology and examining its logical structure of cloud technology. After that, it designs the cloud platform architecture of the accounting information management system (AIMS) by building the SaaS model. It defines the distributed storage mode of the cloud platform and tests the cluster performance of the system after completing the system design and construction to judge the application effect of the system. Finally, the system operation time, local rows of data, and load balancing are tested experimentally. These results demonstrate that the response relationships of distinct tasks are modified higher than TeraSort, TeraSort higher than Inquiry, and response time is proportional to the amount of Reduce slots when input tasks are the same. The analysis shows that the large data cloud platform used in this paper has high operational efficiency, acceleration rate, and task execution rate.
Networked Fitness Management System Based on Internet of Things
Authors: Wu Haikun
Published: August 2022

In recent years, with the rapid development of Internet of things and other technologies, the digitalization, networking, and intelligence of sports have become the current research focus. In this paper, the fitness management system based on the Internet of things is studied. By analyzing the system function and performance requirements, the design of fitness client (small tablet) of networked fitness management system is based on Internet of things. Receiving the fitness data uploaded by the fitness device through Bluetooth, the fitness data can be processed and displayed in real time with graphics. After the exercise, the fitness data can be uploaded to the central computer through Wi-Fi wireless. Taking barbell as an example, by analyzing the movement characteristics of barbell, Bluetooth MPU6050 module is used for data acquisition; the data collected includes angle, number, etc.; the relevant functions of barb-dumbbell movement are analyzed and designed; and the Bluetooth communication module and Wi-Fi communication module in the small tablet software system are designed and implemented. The relevant experiments were carried out based on the developed software and hardware platform. Recognition experiments on 7 classes of actions show that the proposed deep neural network learns well on small datasets, achieving an action recognition accuracy of 97.61%, and the SVM also achieves a recognition accuracy of more than 96%. In the 50 action cycle calculation experiments, the number statistics algorithm reached 100% calculation accuracy, and the action cycle calculation results are also close to the real value, proving the effectiveness of the periodic calculation method.
Effect of Nutritional Protein Food on Metabolism and Physical Fitness of Wushu Athletes
Authors: Gao Yanan , Liang Qi
Published: August 2022

In order to greatly improve the physical function of martial arts athletes, this topic studies the effect of high-protein food on the physical function of martial arts athletes. Forty-five athletes in martial arts events took 5 g of high-protein food every day, 6 times a week for 4weeks, and the left and right forearm, calcaneus bone mineral density, and venous blood was drawn to detect bone metabolism and biochemical indicators related to physical function. The experimental results showed that the bone mineral density of the right calcaneus of male martial arts athletes increased significantly after taking high-protein food, and the bone mineral density of left and right forearms and calcaneus of female martial arts athletes increased significantly. After taking high-protein food, the serum calcium and phosphorus of female athletes and the serum calcium of male athletes were significantly increased. Sex decreased, female athletes significantly decreased serum creatine kinase, and male athletes significantly increased IgM. It can be seen that taking high-protein food for 4 weeks has a certain improvement effect on the bone mineral density of female athletes’ forearm and calcaneus, but has little effect on the bone mineral density of male athletes’ forearm and calcaneus. It can be concluded that high-protein food has no adverse effect on athletes’ bone metabolism, blood biochemical indexes, and immune globulin, and can better maintain the physical function level of martial arts athletes.
Baricitinib for the Management of SARS-CoV-2-Infected Patients: A Systematic Review and Meta-Analysis of Randomised Controlled Trials
Authors: Manoharan Sivananthan , Ying Lee Ying
Published: August 2022

Baricitinib is known to reduce mortality and disease progression in COVID-19 patients; however, the data are inconsistent. Therefore, it needs to be explored to further understand the clinical benefits of this drug in the management of COVID-19 patients. Does baricitinib statistically significantly reduce mortality and disease progression in COVID-19 patients? To answer these questions, three databases known as ScienceDirect, PubMed/MEDLINE, and Scopus and other sources, such as preprint (medRxiv) and reference lists, were thoroughly searched. Four randomised controlled trials (RCTs) were included. Based on the meta-analysis, baricitinib statistically significantly reduced mortality with the risk ratio (RR) of RR = 0.74 [95% CI: 0.58 to 0.94;

p
=
0.01

] and moderately high heterogeneity, where I2 = 62% and

p
=
0.05

. On the other hand, RR = 0.84 [95% CI: 0.75 to 0.95;

p
=
0.005

] with insignificant heterogeneity of I2 = 20% and

p
=
0.28

was found for disease progression. Cochrane risk of bias (RoB) analysis revealed that three out of four articles were ranked as high-quality articles with low RoB. Based on the evidence grading, the overall certainty of evidences was moderate. In conclusion, baricitinib statistically significantly reduced mortality and disease progression in COVID-19 patients when the patients were treated with baricitinib at a dosage of 2 mg or 4 mg for a maximum duration of 14 days.
Mechanical Behavior of the Special Segment Structure during Upward Shield Tunnel Construction
Authors: Lu Liangliang , Wei Xinjiang , Wang Xiao , Yan Zihai , Cheng Zeyu , Hu Haoyan
Published: August 2022

The upward shield method in horizontal tunnels has the advantages of small ground space occupation, low construction cost, and short construction period, which expresses substantial economic benefits. The special segments of horizontal shield tunnels corresponding to the upward shield method construction area have special design requirements, and different internal force calculations and analyses should be carried out. To determine the mechanical behavior of the special segment structure of horizontal shield tunnels during the construction of upward shield tunnels, the theoretical calculation formula of the internal force of the special segment structure is deduced based on the average uniform rigidity ring method. Moreover, the bending moment and axial force of special segments are numerically simulated and analyzed using Midas GTS NX software. Finally, the theoretical formula and finite element calculation results are compared and analyzed. The results show that the internal force values of the open segment ring and the adjacent segment ring of the special segment are quite different during upward shield tunnel construction. Furthermore, compared with the arch crown and arch bottom of the segment ring, the stress at the arch waist of the segment ring is the most unfavorable. The stress difference between the open segment ring and the adjacent segment ring may cause unbalanced deformation, leading to damage to the segment ring radial joint. In the design and construction, attention should be given to the shear strength of the segment ring radial joint and the bending stiffness of the ring joint at the arch waist.
Using Recycled Concrete Powder, Waste Glass Powder, and Plastic Powder to Improve the Mechanical Properties of Compacted Concrete: Cement Elimination Approach
Authors: Najaf Erfan , Abbasi Hassan
Published: August 2022

The environment receives millions of tons of garbage, including plastic and glass, and concrete building debris contributes to a number of environmental problems. In order to reduce cement and make use of waste materials like glass and plastic, this research creates compacted concrete samples using waste glass powder, waste plastic powder, micro‐silica, fly ash, and recycled powdered concrete. Compressive, nonlinear behavior, and SEM tests on compacted specimens showed that by removing 80% of the cement and substituting 20% recycled concrete powder, 15% micro‐silica, 15% fly ash, 15% waste plastic powder, and 15% waste glass powder (at 80°C for 20 minutes), sustainable concrete with compressive and flexural strengths nearly equal to the sample’s compressive and flexural strengths was produced. Micro‐silica has several shortcomings regarding improving concrete strength and building a suitable combination with recycled concrete powder. In extremely small quantities, glass powder may be used to replace cement, and in greater quantities, it can take the place of aggregate. Finally, it was found that concrete mortar could be made completely sustainable by using recycled materials like glass, plastic, and recycled concrete, as well as micro‐silica and fly ash, and that only 20% of the weight of cement could be used without lowering the compressive and flexural strength of the concrete.