bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Real-Time Dynamic Ultrasound and Magnetic Resonance Imaging in the Diagnosis of Rotator Cuff Tear Injury
Authors: Zhang Xu , Gu Xingang , Zhao Lei
Published: November 2021

Objective. To explore the value of real-time dynamic ultrasound and magnetic resonance imaging (MRI) in the diagnosis of rotator cuff injury. Methods. From January 2020 to June 2021, the clinical data of 55 patients with rotator cuff injury were collected. All patients were examined by real-time dynamic ultrasound and MRI at the same time within two weeks before surgery, which was confirmed by arthroscopy. The value of real-time dynamic ultrasound, MRI, and the real-time dynamic ultrasound combined with MRI in the diagnosis of rotator cuff injury was evaluated. Results. Among the 55 patients with rotator cuff injury, real-time dynamic ultrasound showed full-thickness rotator cuff tear in 12 patients (21.82%), including type I in 2 patients (3.64%), type II in 6 patients (10.91%), and type III in 4 patients (7.27%), and partial rotator cuff tear in 31 patients (56.36%), including type IV in 16 patients (29.00%), type V in 5 patients (9.09%), and type VI in 10 patients (18.18%). MRI showed full-thickness rotator cuff tear in 12 patients (21.82%), including type I in 2 patients (3.64%), type II in 6 patients (10.91%), and type III in 4 patients (7.27%), and partial rotator cuff tear in 37 patients (67.27%), including type IV in 20 patients (36.36%), type V in 7 patients (12.73%), and type VI in 10 patients (18.18%). The combined examination showed full-thickness rotator cuff tear in 12 patients (21.82%), including type I in 2 patients (3.64%), type II in 6 patients (10.91%), and type III in 4 patients (7.27%), and partial rotator cuff tear in 39 cases (70.91%), including type IV in 21 cases (38.12%), type V in 7 patients (12.73%), and type VI in 12 patients (21.82%). The diagnostic accuracy of real-time dynamic ultrasound in complete tearing, partial tearing and the overall accuracy were 92.31%, 73.81% and 78.18%, respectively. The diagnostic accuracy of complete tear, partial tear and the overall accuracy of MRI were 92.31%, 88.00% and 89.09%, respectively. The diagnostic accuracy of complete tear and partial tear and overall accuracy in the real-time dynamic ultrasound combined with MRI were 92.31%, 95.24%, and 94.55%, respectively. The diagnostic accuracy and overall diagnostic accuracy of the combined examination of partial tears were higher than those of the real-time dynamic ultrasound and MRI examinations alone. Conclusion. Real-time dynamic ultrasound and MRI have high application value in the diagnosis of rotator cuff injury, and the combined diagnosis is conducive to improving the diagnostic accuracy of patients with partial tear.
[Retracted] Supply Chain Decision Analysis of Community E‐Commerce Platform under Different Power Structures: Considering the Influence of Value Cocreation
Authors: Liu Ziyu , Li Yaping
Published: November 2021

In order to explore the impact of different decision‐making methods on the profits of various entities in the supply chain of the community e‐commerce platform, this paper adopts the method of the Stackelberg game. For the community e‐commerce platform supply chain composed of suppliers, community e‐commerce platforms, and grid station service providers, considering the degree of supplier value cocreation efforts, this paper studies the optimal decisions under centralized decision‐making, supplier‐led decentralized decision‐making, and community e‐commerce platform‐led decentralized decision‐making, respectively. The results show that the supply chain obtains the highest profit in centralized decision‐making; under decentralized decision‐making, the dominant party will get higher profits; and the supplier value cocreation sensitivity coefficient is positively correlated with sales price, value cocreation effort level, and total supply chain value. The results are helpful to improve the competitiveness of the community e‐commerce platform supply chain in the market and are of great significance to the long‐term development of the community e‐commerce industry.
Pharmacokinetic Characterisation and Comparison of Bioavailability of Intranasal Fentanyl, Transmucosal, and Intravenous Administration through a Three-Way Crossover Study in 24 Healthy Volunteers
Authors: Nardi-Hiebl S. , Ndieyira J. W. , Al Enzi Y. , Al Akkad W. , Koch T. , Geldner G. , Reyher C. , Eberhart L. H. J.
Published: November 2021

Background. For more than 60 years, the synthetic opioid fentanyl has been widely used in anaesthesia and analgesia. While the intravenous formulation is primarily used for general anaesthesia and intensive care settings, the drug’s high lipophilic properties also allow various noninvasive routes of administration. Published data suggest that intranasal administration is also attractive for use as intranasal patient-controlled analgesia (PCA). A newly developed intranasal fentanyl formulation containing 47 μg fentanyl, intravenous fentanyl, and oral transmucosal fentanyl citrate were characterised, and bioavailability was compared to assess the suitability of the intranasal formulation for an intranasal PCA product. Methods. 27 healthy volunteers were enrolled in a single-centre, open-label, randomised (order of treatments), single-dose study in a three-period crossover design. The pharmacokinetics of one intranasal puff of fentanyl formulation (47 μg, 140 mL per puff), one short intravenous infusion of 50 μg fentanyl, and one lozenge with an integrated applicator (200 μg fentanyl) were studied, and bioavailability was calculated. Blood samples were collected over 12 hours, and plasma concentrations of fentanyl were determined by HPLC with MS/MS detection. Results. 24 volunteers completed the study. The geometric mean of AUC0-tlast was the highest with oral transmucosal administration (1106 h 

∗

 pg/ml, CV% = 32.86), followed by intravenous (672 h 

∗

 pg/ml, CV% = 32.18) and intranasal administration (515 h 

∗

 pg/ml, CV% = 30.10). Cmax was 886 pg/ml (CV% = 59.38) for intravenous, 338 pg/ml (CV% = 45.61) for intranasal, and 310 pg/ml (CV% = 29.58) for oral transmucosal administration. tmax was shortest for intravenous administration (0.06 h, SD = 0.056), followed by intranasal (0.21 h, SD = 0.078) and oral transmucosal administration (1.20 h, SD = 0.763). Dose-adjusted absolute bioavailability was determined to be 74.70% for the intranasal formulation and 41.25% for the oral transmucosal product. In total, 38 adverse events (AEs) occurred. Fourteen AEs were potentially related to the investigational items. No serious AE occurred. Conclusion. Pharmacokinetic parameters and bioavailability of the investigated intranasal fentanyl indicated suitability for its intended use as an intranasal PCA option.
The sorption of Tebuconazole and Linuron from an Aqueous Environment with a Modified Sludge-Based Biochar: Effect, Mechanisms, and Its Persistent Free Radicals Study
Authors: Yang Jingjie , Sun Hongwei , Liu Yucan , Wang Xiaohan , Valizadeh Kamran
Published: November 2021

In this study, the sludge-based biochar was prepared and utilized as an adsorbent for the removal of two commonly used pesticides in agriculture, namely tebuconazole (Teb) and linuron (Lin) in an aqueous solution. The main contributing factors such as biochar preparation conditions, persistent free radicals as well as contact time, agitation speed, biochar dose, temperature, and pH were investigated. The physicochemical properties were characterized by SEM + EDS, FTIR, BET, EPR, etc. The results showed that the maximum adsorption capacities based on the Langmuir model was 7.8650 mg g−1 for tebuconazole and that based on Freundlich model was 9.0645 mg·g-1 for linuron at 25°C. The pseudo-second-order kinetic equations were all fitted well to the kinetic process of the adsorption of the two pesticides with all R2 ≥ 0.915. The maximum values of tebuconazole adsorption capacity occur at pH = 3. Meanwhile, linuron was not affected by pH. Both Cr6+ (r = −0.793∗∗/ −0.943∗∗) and humic acid (r = −0.798∗∗/ −0.947∗∗) significantly inhibited the adsorption amount of tebuconazole and linuron onto the biochar. Electron spin resonance signals (ESR) indicated that environmentally persistent radicals (EPFRs) are preferentially formed at lower pyrolysis temperatures and lower transition metal concentrations. The g-factors for BC400, BC600, BCF400, and BCF600 were 2.0036, 2.0035, 2.0034, and 2.0033, respectively, indicating that the EPFRs mainly have a carbon-centered structure with adjacent oxygen atoms. In addition, to close to the actual situation, natural water (from YanTai) was collected to simulate pesticide contamination. This study demonstrates that sludge-based biochar can achieve efficient removal of tebuconazole and linuron in aqueous environment in a short period of time with no secondary environmental risk especially on the waste activated sludge.
Pharmacodynamic Evaluation of the Gexia Zhuyu Decoction in the Treatment of NAFLD and the Molecular Mechanism Underlying the TRPM4 Pathway Regulation
Authors: Zhao Yao-Wei , Yang Jing , Niu Jie , Wang Tong , Liang Xin-Dan , Ren Yang , Wang Rui
Published: November 2021

Nonalcoholic fatty liver disease (NAFLD) is a clinicopathological syndrome of abnormal lipid deposition in the liver mediated by nonalcohol intake. The Gexia Zhuyu decoction, a classic traditional Chinese medicine compound, is widely used in the clinical treatment of NAFLD. However, its specific efficacy and underlying mechanisms have not been elucidated yet. This study aimed to quantitatively evaluate the efficacy of the Gexia Zhuyu decoction using pharmacodynamics and to explore its molecular mechanisms in conjunction with proteomics. High-fat diets and methionine choline-deficient diets were used to induce various NAFLD progression stages in mouse models. The effects of oral Gexia Zhuyu decoction administration on NAFLD were evaluated by measuring the serum and liver indicators of the treated mice before and after drug intervention and by comparing the changes in liver tissue. Liver TRPM4 mRNA and protein levels were measured using reverse transcription-polymerase chain reaction and Western blotting, respectively. Experimental data showed that serum ALT, AST, and liver triglyceride (TG) levels in each disease stage group of drug intervention mice decreased, and high-density lipoprotein (HDL) and superoxide dismutase (SOD) levels increased. Liver TG levels decreased after drug intervention in the liver fibrosis mice, but serum TG levels increased. Furthermore, cellular fatty changes, inflammatory changes, and fibrous tissue proliferation were all relieved. The TRPM4 protein and mRNA levels in the liver tissue were decreased, and the microRNA (miRNA)-24 expression was increased. The Gexia Zhuyu decoction has a clear therapeutic effect at each stage of NAFLD. It likely acts by altering miRNA-24 expression and regulating the target TRPM4 protein pathway to achieve NAFLD treatment.
On a
p

x

-Biharmonic Kirchhoff Problem with Navier Boundary Conditions
Authors: Lebrimchi Hafid , Talbi Mohamed , Massar Mohammed , Tsouli Najib
Published: November 2021

In this article, we study the existence of solutions for nonlocal

p

x

-biharmonic Kirchhoff-type problem with Navier boundary conditions. By different variational methods, we determine intervals of parameters for which this problem admits at least one nontrivial solution.
Correlation between Handgrip Strength and Rapid Shallow Breathing Index for Assessment of Weaning from Mechanical Ventilation
Authors: Saiphoklang Narongkorn , Keawon Thanapon
Published: November 2021

Background. Assessment of weaning from mechanical ventilation (MV) is an important process. Rapid shallow breathing index (RSBI) is a standard tool to evaluate a patient’s readiness before the spontaneous breathing trial (SBT). Handgrip strength (HGS) is an alternative method for assessment of respiratory muscle strength. Relationship between HGS and RSBI has not been explored. This study aimed to determine the correlation between HGS and RSBI to predict successful extubation in mechanically ventilated patients. Methods. A prospective study was conducted in screened 120 patients requiring MV with tracheal intubation >48 h. HGS was performed at 48 h after intubation, 10 min before and 30 min after SBT, and 1 h after extubation. RSBI was performed at 10 min before SBT. Results. A total of 93 patients (58% men) were included in the final analysis. Mean age was 71.6 ± 15.2 years. Patients admitted in general medical wards were 84.9%. APACHE II score was 13.5 ± 4.7. Most patients were intubated from pneumonia (39.8%). Weaning failure was 6.5%. The main result shows that HGS was negatively correlated with RSBI (regression coefficient −0.571,

P
<
0.001

). The equation for predicting RSBI, derived from the linear regression model, was predicted RSBI (breaths/min/L) = 39.285 + (age

∗

0.138)–(HGS

∗

0.571). Conclusions. HGS had significantly negative correlation with RSBI for assessment of weaning from MV. A prospective study of the HGS cutoff value is needed to investigate the difference between patients who succeeded and those who failed extubation. This trial is registered with TCTR20180323004.
Evaluation of a Novel Zonular Tension Restoring Accommodating Silicone IOL Design: Pilocarpine and Cyclopentolate-Induced Effect 20 Months after Implantation
Authors: Hirnschall Nino , Henson Raoul Paolo D. , Vicencio Jay Marianito S. , Angeles Andrew L , Findl Oliver , Phillips Andrew
Published: November 2021

Purpose. To investigate a novel zonular-stress restoring accommodating 1-piece silicone IOL. Setting. Angeles City, Philippines. Design. Prospective randomized bilateral study. Methods. Each patient received a study IOL (ActaLens™, Emmetrope, La Canada, CA) in one eye and a control IOL (CrystaLens® AO, B&L, USA, or an AcrySof IQ®, Alcon, USA) in the contralateral eye to allow for intraindividual comparison. At the 20-month follow-up, two measurement days were set to measure all eyes before and after instilling 2% pilocarpine on the first day and 1% cyclopentolate on the second measurement day using an optical biometry device (Lenstar, Haag-Streit AG, Switzerland), respectively. PCO was graded by two examiners independently at the slit lamp. Results. In total, 16 eyes of 8 patients were included. In the study group and the control group, the pilocarpine-induced ACD shift was 0.32 mm (SD: 0.12) (

p
=
0.014

) and 0.04 mm (SD: 0.16) (

p
=
0.854

), respectively. In the study group and the control group, the mean cyclopentolate-induced ACD shift was 0.14 (SD: 0.06) (

p
=
0.014

) and 0.03 mm (SD: 0.03) (

p
=
0.181

), respectively. PCO and Nd : YAG rates were higher in the study group, but differences were not found to be significant (AcrySof vs. ActaLens

p
=
0.100

and CrystaLens vs. ActaLens

p
=
0.174

). Conclusion. The investigated IOL is a novel concept for an accommodating IOL, and results showed a moderate pilocarpine-induced forward shift of the IOL 20 months following implantation. For all patients, the investigated IOL seems to have a higher PCO rate compared to standard monofocal IOLs.
Synthesis and Evaluation of the Acetylcholinesterase Inhibitory Activities of Some Flavonoids Derived from Naringenin
Authors: Tran The-Huan , Vo Thi-Thu-Hien , Vo Thi-Quynh-Nhi , Cao Thi-Cam-Nhung , Tran Thai-Son
Published: November 2021

Alzheimer’s disease (AD) is an irreversible neurodegenerative disease that affects many older people adversely. AD has been putting a huge socioeconomic burden on the healthcare systems of many developed countries with aging populations. The need for new therapies that can halt or reverse the progression of the disease is now extremely great. A research approach in the finding new treatment for AD that has attracted much interest from scientists for a long time is the reestablishment of cholinergic transmission through inhibition of acetylcholinesterase (AChE). Naringenin is a flavonoid with the potential inhibitory activity against AChE. From naringenin, many other flavonoid derivatives, such as flavanones and chalcones, can be synthesized. In this study, by applying the Williamson method, nine flavonoid derivatives were synthesized, including four flavanones and five chalcones. The evaluation of AChE inhibitory activity by the Ellman method showed that there were four substances (2, 4, 5, and 7) with relatively good biological activities (IC50 < 100 μM), and these biological activities were better than that of naringenin. The molecular docking revealed that strong interactions with amino acid residue Ser200 of the catalytic triad and those of the peripheral region of the enzyme were crucial for strong effects against AChE. Compound 7 had the strongest AChE inhibitory activity (IC50 13.0 ± 1.9 μM). This substance could be used for further studies.
Differential Game and Simulation Study on Management Synergy of Regional Coal Mine Emergencies in China
Authors: Hao Yu , Sun Chaolun , Wei Jianping , Gu Sasa , Zhang Fan
Published: November 2021

Emergency management of coal mines requires enhanced synergy among departments, institutions, and enterprises, which means overall efficiency in management. Their synergy can effectively lower the cost of emergency management, improve the effectiveness of it, and build a strong joint force for the prevention and control of emergencies. Accordingly, this study established a synergy system for regional coal mine emergency management and analyzed the interest relationship among key stakeholders in the system. Then, it established differential game models of the management synergy, explored the selection process of the behavior strategy of each stakeholder under different situations, and provided important tools for quantitative analysis on emergency management synergy practice. Furthermore, numerical simulation was carried out to analyze the influencing factors of their decision behaviors. The research results are of great significance for the comprehension of the evolution mechanism for the emergency management synergy of coal mines, the assistance for the government in determining the optimal method in emergency management synergy, the mobilization of the stakeholders, and the improvement of the current situation of emergency management synergy of coal mines in China.
Matching Cyber Security Ontologies through Genetic Algorithm-Based Ontology Alignment Technique
Authors: Lin Weiwei , Haga Reiko
Published: November 2021

Security ontology can be used to build a shared knowledge model for an application domain to overcome the data heterogeneity issue, but it suffers from its own heterogeneity issue. Finding identical entities in two ontologies, i.e., ontology alignment, is a solution. It is important to select an effective similarity measure (SM) to distinguish heterogeneous entities. However, due to the complex semantic relationships among concepts, no SM is ensured to be effective in all alignment tasks. The aggregation of SMs so that their advantages and disadvantages complement each other directly affects the quality of alignments. In this work, we formally define this problem, discuss its challenges, and present a problem-specific genetic algorithm (GA) to effectively address it. We experimentally test our approach on bibliographic tracks provided by OAEI and five pairs of security ontologies. The results show that GA can effectively address different heterogeneous ontology-alignment tasks and determine high-quality security ontology alignments.
Solution of the Static Deflection Mode Shape Function of the Cantilever Beam under Transverse Flow Based on the Boundary Shooting Method
Authors: Wang Xiaowen , Zhou Yixian
Published: November 2021

According to the characteristics of the reactor internal structure of nuclear power plants, the vibration of the secondary core support pillar in water can be modeled as the vibration of the cantilever beam structure under the action of transverse flow, and its first beam mode is highly likely to be activated. It is thus necessary to dedicate a separate study on the first-order beam mode. In this work, we study the secondary core support pillar in nuclear reactor AP1000 under the action of transverse flow and focus on the derivation of its static cantilever deflection mode shape function in order to lay a foundation for the calculation of hydrodynamic added mass and frequency for the nuclear reactor internal components and their structural integrity evaluation. First, we proposed a set of nonlinear differential equations for the analysis of the single cantilever beam. Second, to solve the nonlinear differential equations, we used a boundary shooting framework in combination with the Runge–Kutta method. The results of the numerical simulation agree with the analytical solution to a very high degree, which demonstrates the effectiveness of the simulation method. Finally, we solved the static deflection mode shape function of the secondary core support pillar under the normal operating conditions. The nonlinear differential model and simulation method proposed in this paper can be used to solve the static cantilever deflection mode shape function of the equipment support tube.
[Retracted] The Expression of miR‐23a and miR‐146a in the Saliva of Patients with Periodontitis and Its Clinical Significance
Authors: Kang Lanhua , Li Ning , Wang Lexiu
Published: November 2021

Background. This study is aimed at exploring the significance of the expression of miR‐23a and miR‐146a in patients with periodontitis and their correlations with inflammatory factors. Methods. A total of 120 patients with chronic periodontitis admitted to the department of stomatology in Yantai Yuhuangding Hospital from August 2017 to December 2018 were enrolled as a study group, and 80 healthy volunteers in physical examination during the same period were enrolled as a control group. The expression of miR‐23a, miR‐146a, interleukin‐1β (IL‐1β), interleukin‐6 (IL‐6), and interleukin‐17 (IL‐17) in the saliva of people in the two groups was determined using the quantitative real‐time polymerase chain reaction (qRT‐PCR) and enzyme‐linked immunosorbent assay (ELISA). Results. The study group showed significantly higher relative expression of saliva miR‐23a and miR‐146a than the control group. The area under the curve (AUC) of saliva miR‐23a and miR‐146a for diagnosing periodontitis was 0.857 and 0.886, respectively. The expression of saliva miR‐23a and miR‐146a increased with the deterioration of periodontitis in the patients. After basic treatment, the study group showed significantly decreased expression of saliva miR‐23a and miR‐146a. Patients in the study group showed significantly higher levels of saliva IL‐1β, IL‐6, and IL‐17 than those in the control group, and their saliva miR‐23a and miR‐146a were positively correlated with their saliva IL‐1β, IL‐6, and IL‐17, respectively. Conclusion. Saliva miR‐23a and miR‐146a can be used as biomarkers for the diagnosis and assessment of periodontitis, and they may have regulatory relationships with IL‐1β, IL‐6, and IL‐17.
The Pricing and Hedging of an Attainable Claim in a Hybrid Black–Scholes Model under Regime Switching
Authors: Tian Kuanhou , Li Yanfang , Hu Guixin
Published: November 2021

This article formulates and dissects a Black–Scholes model with regime switching that can be used to describe the performance of a complete market. An explicit integrand formula

ϕ

t
,
ω

is obtained when the

T

-claim

F

ω

is given for an attainable claim in this complete market. In addition, some perfect results are presented on how to hedge an attainable claim for this Black–Scholes model, and the price

p

of the European call and the self-financing portfolio

θ

t

=

θ

0

t

,

θ

1

t

are given explicitly. Finally, some concluding remarks are provided to illustrate the theoretical results.
Game User Preference Data Analysis and Market Guidance Based on Dynamic Attention GRU
Authors: Yang Xuelian , Bai Jin , Wang Xiaolin
Published: November 2021

With the development of Internet technology and social model, game products have become an important product of people’s life for entertainment and recreation, and the precise marketing of game products has become a winning means for enterprises to improve competitiveness and reduce labor cost consumption, and major game companies are also paying more and more attention to the data-based marketing model. How to dig out the effective information from the existing market behavior data is a powerful means to implement precise marketing. Achieving precise positioning and marketing of gaming market is the guarantee of innovative development of game companies. For the research on the above problem, based on the SEMAS process of data mining, this paper proposes a mining model based on recurrent neural network, which is named as Dynamic Attention GRU (DAGRU) with multiple dynamic attention mechanisms, and evaluates it on two self-built data sets of user behavior samples. The results demonstrate that the mining method can effectively analyze and predict the player behavior goals. The game marketing system based on data mining can indeed provide more accurate and automated marketing services, which greatly reduces the cost investment under the traditional marketing model and achieves accurate targeting marketing services and has certain application value.
An English Teaching Resource Recommendation System Based on Network Behavior Analysis
Authors: Zhang Jing
Published: November 2021

The sharing of English teaching resources has always been a concern. In order to further improve the value of different English teaching resources, this paper proposes a resource management system based on an improved collaborative recommendation algorithm. The proposed model can predict user behavior based on deep learning models of graph neural network (GNN) and recurrent neural network (RNN). The graph neural network can capture the hidden state of local user behavior and be used as a preprocessing step. Recurrent neural networks can capture time series information. Therefore, the model is constructed by combining GNN and RNN to obtain the advantages of both. In order to prove the effectiveness of the model, we used CNGrid’s real user behavior dataset in the experiment and finally compared the results with other methods. The different deep learning-based models achieved a precision of up to 88% and outperformed other traditional models. The experimental results show that this new deep learning model has good sharing value.
Analyzing the Check-In Behavior of Visitors through Machine Learning Model by Mining Social Network’s Big Data
Authors: Hou Li , Liu Qi , Nebhen Jamel , Uddin Mueen , Ullah Mujahid , Khan Naimat Ullah
Published: November 2021

The current article paper is aimed at assessing and comparing the seasonal check-in behavior of individuals in Shanghai, China, using location-based social network (LBSN) data and a variety of spatiotemporal analytic techniques. The article demonstrates the uses of location-based social network’s data by analyzing the trends in check-ins throughout a three-year term for health purpose. We obtained the geolocation data from Sina Weibo, one of the biggest renowned Chinese microblogs (Weibo). The composed data is converted to geographic information system (GIS) type and assessed using temporal statistical analysis and spatial statistical analysis using kernel density estimation (KDE) assessment. We have applied various algorithms and trained machine learning models and finally satisfied with sequential model results because the accuracy we got was leading amongst others. The location cataloguing is accomplished via the use of facts about the characteristics of physical places. The findings demonstrate that visitors’ spatial operations are more intense than residents’ spatial operations, notably in downtown. However, locals also visited outlying regions, and tourists’ temporal behaviors vary significantly while citizens’ movements exhibit a more steady stable behavior. These findings may be used in destination management, metro planning, and the creation of digital cities.
Fixed Point Theorems for Set-ValuedL-Contractions in Branciari Distance Spaces
Authors: Cho Seong-Hoon
Published: November 2021

In this paper, the notion of set-valuedL-contractions is introduced, and a new fixed point theorem for such contractions is established. An example to illustrate main theorem is given.
Study on the Rock Fracture during Fluid Injection Using a Coupled Flow‐Stress‐Damage (FSD) Model: Insight into the Stress Shadow Effect
Authors: Li Xueliang , Sun Guang
Published: November 2021

In order to investigate the influence of pore pressure on hydraulic fracturing behavior in the local and whole model, the coupled flow‐stress‐damage (FSD) analysis system RFPA‐Flow was used to study the influence of rock heterogeneity, natural stress ratio, double‐hole spacing, and water pressure gradient on the stress shadow effect. The numerical results show that the tensile crack induced by pore water pressure is significantly affected by the pore water pressure and water pressure gradient. The larger the pore pressure gradient is, the more asymmetrical the crack development pattern and the smaller the instability pressure of the model. In addition, the shape of hydraulic fracture becomes much more irregular with the increase in rock heterogeneity. The number and shape of tip microcracks under the influence of local water pressure are closely related to the homogeneity of rock. Moreover, when the natural stress difference is large, the hydraulic fracture propagates parallel to the maximum principal stress; when the stress field is close and the spacing between two holes is less than 5 times the diameter, the propagation direction of hydraulic fractures between holes is perpendicular to the maximum principal stress. It is found that no hydraulic fractures occur between the two holes when the distance between holes is greater than 5 times the diameter.
Uniformly Convergent Numerical Scheme for Singularly Perturbed Parabolic PDEs with Shift Parameters
Authors: Woldaregay Mesfin Mekuria , Duressa Gemechis File
Published: November 2021

In this article, singularly perturbed parabolic differential difference equations are considered. The solution of the equations exhibits a boundary layer on the right side of the spatial domain. The terms containing the advance and delay parameters are approximated using Taylor series approximation. The resulting singularly perturbed parabolic PDEs are solved using the Crank–Nicolson method in the temporal discretization and nonstandard finite difference method in the spatial discretization. The existence of a unique discrete solution is guaranteed using the discrete maximum principle. The uniform stability of the scheme is investigated using solution bound. The uniform convergence of the scheme is discussed and proved. The scheme converges uniformly with the order of convergenceON−1+Δt2, whereNis number of subintervals in spatial discretization andΔtis mesh length in temporal discretization. Two test numerical examples are considered to validate the theoretical findings of the scheme.
Impact of the High‐Energy Dynamic Compaction by Multiple Compactors on the Surrounding Environment
Authors: Jiang Chunlin , Ge Yanhui , Wang Baoqun , Zhang Luchen , Liu Youbo
Published: November 2021

Dynamic compaction machine (DCM) is a widely adopted ground reinforcement technology. However, dynamic compaction energy has a very significant impact on the surrounding environment. At present, the research on the impact of dynamic compaction mainly focuses on the effect of the tamping behavior of a single compactor in the working state, whereas the research on the impact of multiple compactors working jointly is rare. To study the impact of the dynamic compaction energy of multiple compactors working jointly on the surrounding environment, the dynamic response model for multiple compactors working in the same field was established based on the explicit dynamic analysis module in ABAQUS. The validity of the model was verified by comparison with the measured data. Based on this, the impact of the dynamic compaction energy of multiple compactors with different working conditions in terms of the arrangement, spacing, and working time interval was analyzed. The results showed that the arrangement and spacing of the compactors had a remarkable influence on the distribution of the dynamic compaction energy in the surrounding environment. Under the condition of multiple compactors working with a time interval of less than 10 s, the impact of the superimposed dynamic compaction energy due to the interaction of multiple compactors had to be considered.
Multi-Self-Attention for Aspect Category Detection and Biomedical Multilabel Text Classification with BERT
Authors: Zhang Xuelei , Song Xinyu , Feng Ao , Gao Zhengjie
Published: November 2021

Multilabel classification is one of the most challenging tasks in natural language processing, posing greater technical difficulties than single-label classification. At the same time, multilabel classification has more natural applications. For individual labels, the whole piece of text has different focuses or component distributions, which require full use of local information of the sentence. As a widely adopted mechanism in natural language processing, attention becomes a natural choice for the issue. This paper proposes a multilayer self-attention model to deal with aspect category and word attention at different granularities. Combined with the BERT pretraining model, it achieves competitive performance in aspect category detection and electronic medical records’ classification.
Application of Big Data Model in Financial Taxation Management
Authors: Lin Li
Published: November 2021

We have entered an era of information technology. Many financial and taxation management tasks have been applied to big data technology. Through big data technology, we can efficiently collect data and Internet information, realize efficient management of information, and establish a complete set of tax database. The research results of the article show the following. (1) We analyze the application status of big data technology and put forward the problems and solutions in data processing in our country. (2) Most financial managers of small and medium-sized enterprises are rather vague about the definition of taxation. Training in this area should be strengthened. Taking the industrial chain of Chinese enterprises as the survey object, the concept of taxation compliance and influencing factors have been elaborated, and a taxation respect model has been established. The investigation method can be analyzed through the model. (3) We established the coefficient of variation model with Pilka coefficient and found that the main business income has the highest correlation with the value-added tax payable and has the strongest linear relationship; the correlation between return on assets and value-added tax payable is the weakest, and there is a weak relationship. There is a strong negative correlation between sales profit margin and VAT payable (4) Taking a pharmaceutical company in our country as the subject of investigation, the company’s financial operating conditions have been studied for the past ten years, and it is concluded that the company’s main business income is increasing year by year, and the corresponding tax revenue is also increasing, and the tax growth rate is relatively unstable. Among them, the financial risk coefficient of corporate income tax is the largest.
The Applicability of Reinforcement Learning Methods in the Development of Industry 4.0 Applications
Authors: Kegyes Tamás , Süle Zoltán , Abonyi János
Published: November 2021

Reinforcement learning (RL) methods can successfully solve complex optimization problems. Our article gives a systematic overview of major types of RL methods, their applications at the field of Industry 4.0 solutions, and it provides methodological guidelines to determine the right approach that can be fitted better to the different problems, and moreover, it can be a point of reference for R&D projects and further researches.
A Survey of Long‐Tail Item Recommendation Methods
Authors: Qin Jing
Published: November 2021

Recommender systems represent a critical field of AI technology applications. The core function of a recommender system is to recommend items of interest to users, but if it is only user history‐based (purchasing or browsing data), it can only recommend similar products to a user, which makes the user feel fatigued (creating so‐called “Information Cocoons”). Besides, transaction data (purchasing or browsing data) in various fields usually follow Pareto distributions. Accordingly, 20% of products are purchased or viewed a greater number of times (short‐head items), while the remaining 80% of products are purchased or viewed less frequently (long‐tail items). Using the traditional recommendation method, considering only the accuracy of recommendations, the coverage rate is relatively low, and most of the recommended items are short‐head items. The long‐tail item recommendation method not only considers the recommendation of short‐head items but also considers recommending more long‐tail items to users, thus improving the coverage and diversity of the recommendation results. Long‐tail item recommendation research has become a frontier issue in recommendation systems in recent years. While the current research paper is still scarce, there have been related research achievements in top‐level conferences in the field of computers, such as VLDB and IJCAI. Due to the fact that there is no review literature in this field, to allow readers to better understand the research status of the long‐tail item recommendation method, this paper summarizes the progress of the research on long‐tail item recommendation methods (from clustering‐based, which began in 2008, to deep learning‐based methods, which began in 2020) and the future directions associated with this research.
An Improved Approach for Solving Partial Differential Equation Based on Reproducing Kernel Method
Authors: Du Mingjing
Published: November 2021

The traditional reproducing kernel method (TRKM) cannot obtain satisfactory numerical results for solving the partial differential equation (PDE). In this study, for the first time, the abovementioned problems are solved by adaptive piecewise interpolation reproducing kernel method (APIRKM) to obtain the exact and approximate solutions of partial differential equations by means of series expansion using reconstructed kernel function. The highlight of this paper is to obtain more accurate approximate solution and save more time through adaptive discovery. Numerical solutions of the three examples show that the present method is more advantageous than TRKM.
Stress‐Strain Relationship of Steel Fiber Reinforced Alkali Activated Slag Concrete under Static Compression
Authors: Yuan Xiaohui , Guan Huiting , Shi Yanyu
Published: November 2021

Stress‐strain curve can accurately reflect the mechanical behavior of materials, and it is very important for structural design and nonlinear numerical analysis. Some cube and prism specimens were made to investigate the physical and mechanical properties of steel fiber reinforced alkali activated slag concrete (AASC); test results show that the strength, Young’s Elastic Modulus, and Poisson’s ratio all increase with the increase of steel fiber content. The steel fiber reinforced AASC shows an excellent postcracking behavior. Damage evolution parameter (D) was used to describe the formation and propagation of cracks, and continuum damage evolution model of steel fiber reinforced AASC was established by Weibull and Cauchy distribution. The establishing model can well describe the geometric characteristics of the key points of the concrete materials stress‐strain curve. Finally, the accuracy of the model was verified by comparing the test stress‐strain relationship curve of steel fiber reinforced AASC.
The Role of Exhaled Hydrogen Sulfide in the Diagnosis of Colorectal Adenoma
Authors: Liu Nian , Tseng Yujen , Zhang Huilu , Chen Jian
Published: November 2021

Purpose. Exhaled determination can detect metabolite hydrogen sulfide in the intestine. We aim to analyze the predictive value of hydrogen sulfide in the diagnosis of colorectal adenoma. Methods. We recruited seventy patients diagnosed with colorectal adenoma as the observation group and sixty-six healthy subjects as the control group. The colorectal adenoma was diagnosed by colonoscopy at the Endoscopy Center of Huashan Hospital affiliated to Fudan University from June 2018 to November 2019. Exhaled gas was collected through the nose and mouth, respectively, and hydrogen sulfide in exhaled gas was determined according to the manufacturer’s instructions. Results. Receiver operating characteristic (ROC) curve was analyzed based on the exhaled data of the observation group and the control group. The ROC curve showed an area under ROC curve (AUC) 0.724 for nasal exhaled H2S, which had a diagnostic value. When nasal exhaled H2S was >13.3 part per billion (ppb), the sensitivity and the specificity of predicting colorectal adenoma were 57% and 78%, respectively. The exhaled H2S of the observation group was significantly different from that of the control group. The AUC value was 0.716 as a prognostic factor of colorectal adenoma. As exhaled H2S was >28.8 ppb, the sensitivity and the specificity of predicting colorectal adenoma were 63% and 77%, respectively. Conclusion. Exhaled and nasal H2S determination has a predictive value for colorectal adenoma as a novel and noninvasive method. Therefore, it is worth conducting more research to analyze exhaled and nasal H2S.
Neutrophil-to-Lymphocyte Ratio Facilitates Identification of Obstructive Sleep Apnea in Patients with Type B Aortic Dissection
Authors: Jiang Dandan , Chen Qu , Su Weiming , Wu Dinghui
Published: November 2021

Purpose. To determine whether the neutrophil-to-lymphocyte ratio (NLR) aids in the detection of obstructive sleep apnea (OSA) in patients with type B aortic dissection (TBAD). Methods. 324 patients with TBAD or type B aortic intramural hematoma (TB-AIMH) underwent an overnight sleep study. We divided the eligible 256 studied subjects into three groups: group A (n = 109, TBAD patients with OSA), group B (n = 68, TB-AIMH patients with OSA), and group C (n = 79, TBAD patients without OSA). Baseline characteristics, biochemical and sleep parameters, and STOP-Bang questionnaire scores were collected. To assess the predictive efficacy of potential variables, multivariate logistic regression analysis and receiver operating characteristic (ROC) curves were used. Results. The study found that about 58% of TBAD patients and 54% of TB-AIMH patients had OSA, a majority of whom had moderate to severe OSA (95.41% and 89.71%, respectively). In the comparison of sleep parameters between patients with TBAD and TB-AIMH, no other than apnea and hypopnea index (AHI) made a significant difference. The multivariate logistic regression analysis showed that neutrophil-to-lymphocyte ratio (NLR) (odds ratio (OR): 3.614, 95% confidence interval (CI): 2.273–5.748, and

P
<
0.05

) and STOP-Bang scores (OR: 1.97, 95% CI: 1.34–2.90, and

P
<
0.05

) were both independent predictors for OSA in patients with TBAD. ROC curves showed NLR had higher sensitivity (65% versus 59%) and specificity (86% versus 57%) for OSA than the STOP-Bang questionnaire. Furthermore, NLR was positively correlated with AHI through the Spearman test (r = 0.398 and

P
<
0.05

). Conclusion. NLR was an independent predictor of OSA in TBAD patients with higher sensitivity and specificity than the STOP-Bang questionnaire, and it was positively associated with AHI. NLR may aid in the diagnosis and risk stratification of OSA in TBAD patients.
Comparison of Clinical Features between the High and Low Serum KL-6 Patients with Acute Exacerbation of Interstitial Lung Diseases
Authors: Tagami Yoichi , Hara Yu , Murohashi Kota , Nagasawa Ryo , Nishikawa Yurika , Tanaka Meiro , Aoki Ayako , Tanaka Katsushi , Nakashima Kentaro , Watanabe Keisuke , Horita Nobuyuki , Kobayashi Nobuaki , Yamamoto Masaki , Kudo Makoto , Okudela Koji , Kaneko Takeshi
Published: November 2021

Background. Serum Krebs von den Lungen-6 (KL-6) measurement is widely used to assess disease activity or prognosis in patients with interstitial lung diseases (ILDs). However, the clinical differences between high and low serum KL-6 levels at the time of acute exacerbation (AE) of ILD are not well known. Methods. Clinical parameters including age, sex, Charlson Comorbidity Index score (CCIS), blood biomarkers, high-resolution CT findings, and disease mortality were retrospectively compared between high and low KL-6 (cutoff value: 1000 U/mL) patients at the time of diagnosis of AE of ILDs. Results. Thirty-eight high serum KL-6 and 57 low serum KL-6 patients were included. There was no significant difference in 6-month mortality between them (

P

 = 0.685), whereas serum lactate dehydrogenase was a significant predictor of 6-month mortality in the high serum KL-6 patients (odds ratio (OR): 1.006; 95% confidence interval (CI): 1.003–1.009;

P

 < 0.001), and CCIS (OR: 1.502; 95% CI: 1.242–1.838;

P

 < 0.001) and sex (OR: 5.751; 95% CI: 1.121–105.163;

P

 = 0.033) were significant predictors in low serum KL-6 patients. In addition, the incidences of congestive heart failure, symptomatic chronic pulmonary disease, cerebrovascular disease, and second metastatic solid tumours were significantly higher in nonsurvivors with low serum KL-6 than in other groups (

P

 < 0.05). Conclusions. The clinical features in patients with AEs of ILDs may differ depending on the serum KL-6 level, and clinicopathological examination according to this subtyping guided by the serum KL-6 level is essential.
Nonlinear Dynamics of the Rigid Drum for Vibratory Roller on Elastic Subgrades
Authors: Liu Lun , Wang Fenghui , Sun Shupeng , Feng Weiming , Guo Chao
Published: November 2021

In this paper, a coupling nonlinear dynamic model of the drum and subgrade is established for the vibratory roller. The dynamic characteristics of the rigid drum of the vibratory roller in the process of vibratory compaction are comprehensively investigated by time history, phase diagram, frequency spectrum, Poincare map, and bifurcation diagram. During the compaction process, the stiffness of the subgrade increases and the motion of the rigid drum of the vibratory roller changes from a single period to multiple periods and finally enters chaos by the way of period doubling. Moreover, the roller parameters also significantly affect the dynamic characteristics of the rigid drum and the compaction effect of the subgrade. Based on detailed numerical results, a parameter adjustment strategy about the roller frequency and nominal amplitude is proposed, which can avoid the “bouncing” of the drum during compaction and improve the compaction efficiency.