bluuebunny/crossref_metadata_2025 huggingface dataset:
AI-Based Secure Construction of University Information Services Platform
Authors: Wang Zongjun , Du Xingdong , Wu Lei
Published: March 2022

The service efficiency of the university information services platform directly affects the efficiency of university management. However, the university has rich data resources and complex management, and how to construct a comprehensive, standardized, efficient, and shared university information services platform has become a research hotspot. In recent years, the progress of artificial intelligence (AI) in many aspects has created opportunities for its large-scale application in smart campuses. With the wide penetration of AI technology into all walks of life, especially in the fields of industry, commerce, finance, security, and so on, some technologies have experienced practical tests. Many scholars have discussed the significance and possibility of the application of AI in the field of education from a theoretical level. The university’s secure information services platform can penetrate into all details of university management. Therefore, this paper studies the construction of a university secure information services platform based on AI, taking the dormitory allocation of freshmen and the face recognition of each building as the entry points. First, the beetle antennae search algorithm was introduced to improve the clustering efficiency and accuracy of the K-means algorithm for intelligent dormitory allocation. Then, the improved variational auto encoder-generative adversarial networks (VAE-GAN) model and convolutional neural networks (CNN)-based face recognition algorithm are proposed to enhance the security of building entry in universities. Finally, the simulation results reveal that the proposed two algorithms improve the clustering efficiency in dormitory allocation and the security of the university in the basic construction of the university information services platform, respectively.
Simulation and Modelling of Safety of Roadways in Reverse Horizontal Curves (RHCs): With Focus on Lateral Friction Coefficient
Authors: Khanjari Maziyar , Kordani Ali Abdi , Monajjem Saeed
Published: March 2022

Reverse Horizontal Curves (RHCs) are among the most accident-prone road points, with many annual fatalities and injuries. These fatalities can increase dramatically if the RHCs and longitudinal slopes are combined. The importance of increasing the safety of RHCs, especially in mountainous routes, is doubled due to the possibility of combining RHCs with vertical extensions or combining them with so-called steep slopes. This study used vehicle dynamic modeling to evaluate the lateral friction of various vehicles. Including the E-Class Sedan, E-Class SUV, Truck, and Bus, moving on RHCs combined with a longitudinal slope (downgrade, upgrade, and direct distance). Then, the RHC lateral friction model was presented using the multiple regression model based on the effective parameters, including design speeds, direct distance, and different longitudinal slopes. The results showed that speed, longitudinal slope, and vehicle type had the most impact, and direct distance had the most negligible impact in friction coefficient models. Based on the modeling results, the higher the design’s speed and the shorter the direct distance, the lower the lateral friction coefficient for the Sedan and SUV. Hence, the safety of the vehicles is greater. For trucks, reduced speed, increased direct distance, and reduced slope led to increased safety. In the results, the most critical state was the lateral friction coefficient at a speed of 80 km/h and a direct distance of 116 m for the SUV.
Breakdancing Movement Based on Image Recognition Promotes Preschool Children’s Executive Function and Intervention Plan
Authors: Tai Feng , Zhang Ye , Yu Yaoxiang , Zhou Shijie , Tan Bo , Zhu Chengdong , Fang Lele , Yu Qiaolin
Published: March 2022

With the continuous development of science and technology, people can apply more and more technology to the cultivation of children’s abilities. In the process of cultivating children’s ability, the most fancy is the study of executive function, and this is the research topic of this article. In the past, training methods such as music, mindfulness, and exercise have been used in the study of children’s executive abilities to promote the development of preschool children’s executive functions. While various approaches have had some effect, researchers have been exploring more comprehensive approaches to effective training. This article is aimed at studying how to use image recognition technology to conduct an intervention analysis of breakdancing in promoting the executive function of preschool children. For this reason, this paper proposes image recognition technology based on deep learning neural network and conducts research, analysis, and improvement on related technologies obtained from deep learning. This makes it more suitable for the research topic of this article and design-related experiments and analysis to explore its related performance. The experimental results in this paper show that the improved image recognition technology has improved accuracy by 31.2%. And the performance of its algorithm is also improved by 21%, which can be very effective in monitoring preschool children during breakdancing.
Generalized Laplace-Type Transform Method for Solving Multilayer Diffusion Problems
Authors: Akel Mohamed , Elshehabey Hillal M. , Ahmed Ragaa
Published: March 2022

Multilayer diffusion problems have found significant importance that they arise in many medical, environmental, and industrial applications of heat and mass transfer. In this article, we study the solvability of a one-dimensional nonhomogeneous multilayer diffusion problem. A new generalized Laplace-type integral transform is used, namely, the

M

ρ
,
m

-transform. First, we reduce the nonhomogeneous multilayer diffusion problem into a sequence of one-layer diffusion problems including time-varying given functions, followed by solving a general nonhomogeneous one-layer diffusion problem via the

M

ρ
,
m

-transform. Hence, by means of general interface conditions, a renewal equations’ system is determined. Finally, the

M

ρ
,
m

-transform and its analytic inverse are used to obtain an explicit solution to the renewal equations’ system. Our results are of general attractiveness and comprise a number of previous works as special cases.
Molecular Simulation of CH4 Nanoscale Behavior and Enhanced Gas Recovery in Organic-Rich Shale
Authors: Li Yang , Lu Lize , Zhu Jingyi , Yang Zhaozhong , Qu Jianhua , Xue Heng , Ouyang Jingyun
Published: March 2022

Occurrence and transport are two important nanoscale behaviors in the exploitation of shale gas. Nanopores in a realistic shale organic matrix are composed of kerogen molecules, which will have a great impact on surface-gas interactions and gas nanoconfined behavior. Although there are previous studies, the physics of gas transport through shale systems remains ambiguous. In this work, cylindrical nanopore models representing different pore sizes and organic-rich shale were constructed. By applying the molecular dynamics simulation method, the occurrence characteristics and transport characteristics of CH4 in the nanopores of organic-rich shale were studied. At last, the process of the adsorbed CH4 displaced by CO2 and N2 in shale nanopores at the subsurface condition was explored. This work can provide a better understanding of gas nanoscale behavior in shale systems and assist the future design of the CO2 sequestration and enhanced gas recovery technique.
Phaseless Spherical Near-Field to Far-Field Transformation Algorithm via Sparsity of Spherical Mode Coefficients
Authors: Wang Jiaqi , Wen Yinghong , Zhang Dan , Zhang Jinbao
Published: March 2022

In order to overcome the difficulty in obtaining accurate phase information in antenna near-field measurement, this study proposes a phase recovery algorithm that can be applied to phaseless spherical near-field sampling data. Based on the sparsity of spherical mode coefficients (SMCs), under the condition of unknown sparsity level and low oversampling rate, the proposed algorithm can accurately recover SMC to obtain high-precision antenna radiation characteristics. To improve the recovery performance of the algorithm, a spherical sampling strategy matching with the algorithm is also presented. By calculating the correlation of the measurement matrix and comparing the accuracy of the reconstructed far field, a set of optimal parameter settings including the number of spheres, the distribution of the measurement points, radius difference, and polarization mode is determined. On the basis of the obtained measurement data, the performance advantage of the presented algorithm in recovering SMC is demonstrated.
The Correlation between Microalbuminuria and Thyroid Nodules in Type 2 Diabetic Mellitus
Authors: Cao Can , Cui Zhao-Li , Miao Juan , Zhou Jing-Xin , Wang Xiao-Nan , Jin Jian
Published: March 2022

Objective. To investigate the correlation between thyroid nodules and microalbuminuria in type 2 diabetic mellitus. Methods. A total of 270 patients with type 2 diabetes at Tongzhou Branch of Dongzhimen Hospital were enrolled in this retrospective study. Data were collected from the inpatient electronic files between January 2018 and January 2020. The laboratory indexes of the two groups (thyroid nodule group with 172 cases and control group including 98 cases without thyroid nodules) were statistically analyzed by binomial logistic regression analysis and Spearman correlation analysis. Results. The proportion of microalbuminuria (MAU) in the thyroid nodule group was larger than that in the control group. Age, serum TT4, and FT4 in the thyroid nodule group were significantly higher compared with the control group. The binary logistic regression analysis indicated that age, sex, FT4, and MAU were the risk factors for thyroid nodule in T2DM patients. Spearman correlation analysis showed that the thyroid nodule was significantly positively correlated with MAU, age, FT4, and TT4. Conclusions. MAU might be an independent risk factor for thyroid nodule in type 2 diabetic mellitus.
Kinematics Analysis and Simulation of a Novel 3T Parallel Mechanism
Authors: Huang Yongdong , Lu Quanguo , Wang Hongzhou , Liu Jinfeng , Li Zhihao , Zou Xiaohui , Zhan Xiaohuang
Published: March 2022

Three translational (3T) degree-of-freedom (DOF) parallel mechanism is widely used in the industrial field because of its compact structure and excellent dynamic performance. Combined with the 3T parallel mechanism studied at this stage, a novel 3T parallel mechanism is proposed. Firstly, the DOF of the mechanism is analyzed by using the screw theory. Secondly, the position, velocity, and singularity of the mechanism are analyzed, and the workspace of the mechanism is analyzed through the positive position solution. Then, the trajectory planning in joint space and coordinate space is completed, and a common mathematical model of grasping trajectory is established. Thirdly, the kinematics simulation analysis of the mechanism is carried out. Finally, the prototype platform was built and the grasping experiment was carried out, which verified the rationality of the mechanism design and the correctness of the theoretical analysis.
Reduced Circulating Levels of miR-491-5p and miR-485-3p Are Associated with the Occurrence of Vertebral Fractures in Postmenopausal Women with Osteoporosis
Authors: Xu Jixi , Li Mingbo , Pei Wei , Ding Jinyong , Pan Yueran , Peng Huifeng , Lin Shiman , Huang Yanbo
Published: March 2022

Objective. Postmenopausal women experiences osteoporotic structural damage and bone fragility resulting from reduced bone formation and increased bone resorption. Osteoporosis frequently affects the vertebral column and causes compression fractures. This study aims to characterize roles of miRNAs in osteoporosis and subsequent incidence risk of vertebral fractures for postmenopausal women. Methods. Differentially expressed miRNAs between osteoporotic patients with vertebral fractures and osteoporotic patients without fracture were identified. This retrospective study included 78 osteoporotic patients with vertebral fractures and 82 osteoporotic patients without vertebral fractures. The plasma levels of bone metabolic markers, 25-hydroxyvitamin D (25-(OH)VitD), propeptide of type I procollagen (PINP), and β-Carboxyl terminal peptide (β-CTx), were detected using the patented electro-chemiluminescence (ECLIA) method. The expression levels of miR-491-5p and miR-485-3p were determined by qRT-PCR. Pearson correlation analysis was carried out to assess the relationship between miR-491-5p, miR-485-3p, and bone metabolic markers. Receiver operating characteristic (ROC) curves and the area under the ROC curve (AUC) were used to evaluate the performance of miR-491-5p and miR-485-3p in diagnosing the occurrence of vertebral fractures in osteoporotic patients.Results: The plasma levels of PINP and β-CTx were elevated but the plasma level of 25-(OH)VitD was declined in osteoporotic patients with vertebral fractures when comparable to those without (< 0.05). The plasma expression levels of miR-491-5p and miR-485-3p were declined osteoporotic patients with vertebral fractures when comparable to those without (< 0.001). Pearson correlation analysis revealed that the relative expression level of miR-491-5p was negatively correlated with the level of 25-(OH)VitD (r = -0.518, < 0.001) but positively correlated with the levels of PINP (r = 0.547, < 0.001) and β-CTx (r = 0.380, < 0.001). We also observed a negative correlation between the relative expression level of miR-485-3p and 25-(OH)VitD (r = -0.388, < 0.001), a positive correlation between miR-485-3p and PINP (r = 0.422,< 0.001). ROC curves for prediction of vertebral fracture following osteoporosis in postmenopausal women by miR-491-5p expression yielded 0.866 AUC and by miR-485-3p expression produced 0.848 AUC. Conclusion. The data suggest that downregulated expressions of miR-491-5p and miR-485-3p may be involved in the occurrence of vertebral fractures in postmenopausal women with osteoporosis.
Harnessing the Natural Toxic Metabolites in COVID-19
Authors: Bahrami Ali , Taheri Mohammad , Arabestani Mohammad Reza , Soleimani Meysam , Mohammadi Mojdeh , Golabchi Fatemeh , Banitorfi Maryam , Hosseini Seyed Mostafa , Khodabandehlou Sodabe , Nouri Fatemeh
Published: March 2022

SARS-CoV-2 is a novel coronavirus and the cause of the recent pandemic; it is an enveloped β-coronavirus. SARS-CoV-2 appear in the Wuhan City of China for the first time and outspread worldwide quickly. Due to its person-to-person fast transmission, COVID-19 is becoming a global problem. SARS-CoV-2 enter into cells by using ACE2 receptors that are numerous in the lungs and finally can cause acute respiratory distress syndrome (ARDS). Dry cough, sore throat, fever, body pain, headache, GIT discomfort, diarrhoea, and fatigue are some of the COVID-19 symptoms. There is no definite and certain treatment for disease caused by SARS-CoV-2 till now. Some pharmacological effects of toxins, toxoids, and venoms have been proven, and their effects on some diseases have been evaluated. This study aimed to investigate the role of toxins, toxoids, and venom in the pathophysiology of COVID-19 disease.
Outcome of Endoscopic Ultrasound-Guided Sampling of Mediastinal Lymphadenopathy
Authors: Park Tae Young , Moon Jeong Seop
Published: March 2022

Background and Objectives. Endoscopic ultrasound (EUS)- guided transesophageal fine needle biopsy has been used as a method for histologic evaluation of mediastinal lymph nodes (LNs). This study aimed to compare the outcomes of the EUS-guided sampling with mediastinal lymphadenopathy using a 19-gauge trucut needle and 22-gauge fine needle aspiration (FNA) needle. Methods. From May 2006 to January 2017, patients with mediastinal lymphadenopathy, who received an EUS-guided trucut biopsy or an FNA biopsy, were retrospectively reviewed. Demographic data, endosonographic characteristics of LNs including size, shape, border, echotexture, and echogenicity, diagnostic yield, and adverse events between the trucut needle group and aspiration needle group were compared. Results. A total of 69 patients (trucut group,

n
=
33

vs. aspiration group,

n
=
36

) were identified. There were no significant differences in demographic data, indication for an EUS-guided biopsy, location of LNs, number of needle passes, and endosonographic features of LNs between the two groups. The sizes of LNs were larger in the trucut group than in the aspiration group (

28.9
±
14.0

 mm vs.

21.1
±
8.8

 mm,

P
=
0.007

). However, there was no significant difference in the ratio of LNs that were ≥10 mm in both groups. The overall accuracy of the EUS-guided biopsy for the diagnosis of malignant lesions was 79.7% (55/69). There were no significant differences in the histological diagnostic yield of malignant LNs between the two groups. There were no significant procedure-related adverse events in both groups. Conclusion. The EUS-guided biopsy can be a useful method for histologic evaluation of mediastinal nodal lesions.
Color Removal of Textile Wastewater Using Electrochemical Batch Recirculation Tubular Upflow Cell
Authors: Beddai Ammar A. , Badday Basma Abdulhadi , Al-Yaqoobi Atheer M. , Mejbel Mohanad Kadhim , Al Hachim Zainab S. , Mohammed Mustafa K. A.
Published: March 2022

The progress in textile industrial technologies comes along with a massive increase in the discharge of dyes in the wastewater which considers a serious environmental problem. In this regard, a new electrochemical system has been developed for the treatment of simulated dye solutions of permanent methylene blue dye by an electrochemical cyclic ring reactor. An aluminum rod and a stainless steel mesh were used as the anode and cathode. The experiments on the artificial dye solutions have been carried out in a 6-liter electrochemical cell containing 50 ppm neutral dye solutions. The effects of various parameters such as electrolysis time applied current density (2, 3.32, 5.31, 6.64, and 7.46 mA cm−2), electrolyte concentrations (600, 900, 1200, 1500, and 1800 ppm), and flow rates (1, 1.5, 2, 2.5, and 3 Lh−1) on the process removal efficiency were examined. The results demonstrated that the removal efficiency reached 94–99% within 40–50 minutes of electrolysis time. The removal efficiency increased by increasing the flow rates until it reaches a maximum value at a flow rate of 2 Lh−1; thereafter, it declined with the farther augment of recirculation speed. It is indicated that raising the applied current resulted in increasing the removal efficiency. However, the power consumption builds up to the maximum value by increasing the applied current, where the power consumption rose from 8.51 to 30.3 kWh kg−1 with an increase in the current density from 2 to 7.46 mA cm−2, and a removal efficiency increased from 94% to 99%, accordingly. The results also showed that by increasing the electrolyte concentration, the power consumption can be reduced to its minimum value and the removal efficiency increased remarkably.
Research on the Detection Countermeasures of Telecommunication Network Fraud Based on Big Data for Killing Pigs and Plates
Authors: Li Gang , Wen Yong
Published: March 2022

This paper uses big data analysis to conduct in-depth analysis and research on the investigation countermeasures of the pig-killing dish telecommunication network fraud. This paper takes the case of “piggy bank” as a perspective, starting from analyzing the concept and characteristics of “piggy bank” type network fraud, analyzing the current phenomenon of this type of network fraud crime, and analyzing the current situation of the relevant laws, to explore the judicial situation regarding this type of network fraud crime, and to explore the problems and dilemmas in the judicial determination of such network fraud crimes, the determination of evidence, the determination of principal and accessory in joint crimes, the determination of crime amount, the determination of attempt and attempt form, and the determination of related crimes. Based on the analysis of the problems, the judicial determination process of “piggyback” network fraud is improved in terms of perfecting the evidence determination process, combining the facts of the whole case to determine the joint crime, accurately characterizing the associated criminal acts, regulating the judicial determination rules of the crime amount, and strictly applying the criteria of the circumstances of attempt and completion. This paper explores the forward shift of investigation work, anticipating telecommunication network fraud crimes in advance or the middle of the matter through active investigation, taking technical countermeasures, especially early warning and dissuasion to avoid the occurrence of telecommunication network fraud crimes, and reversing the unfavorable situation of passive investigation in the past. Finally, it focuses on the strategy and innovation points of the use of network investigation methods in telecom fraud crimes and proposes the investigation method of tracing the money chain and information chain along the line and cross-complementing the two lines at the same time according to the characteristics contained in telecom fraud crimes, relying on multiple groups such as public security, hackers, and network volunteers to jointly combat in a variety of network environments.
Antioxidant and Antivenom Potential of an Essential Oil, 4-(2-Oxo-propyl)-cyclopentane-1,3-dione, and Allantoin Derived from the Polyherbal Combination of Aristolochia indica L. and Piper nigrum L.
Authors: Sivaraj Dhivya , Butcher Ray J. , Jasinski Jerry P. , Sathyanarayanan Saikumar , Ponnusamy Revathi , Sasidharan Sreeja Puthanpura , Muniyandi Kasipandi , Thangaraj Parimelazhagan , Arunachalam Karuppusamy
Published: March 2022

The goal of this study was to identify new compounds from a methanol extract of a polyherbal combination of Aristolochia indica L. and Piper nigrum L. (MECAIPN), two traditional medicinal plants used to cure envenomation, as well as to assess their antioxidant and antivenom properties. MECAIPN yielded EA1 (an essential oil), AA2 (4-(2-oxo-propyl)-cyclopentane-1,3-dione), and W3 ((2,5-dioxo-imidazolidin-4-yl)-urea) (Allantoin). Although EA1 had stronger radical scavenging activity, AA2 had higher DPPH and ferric ion radical scavenging activity, and W3 had higher molybdenum ion radical scavenging activity due to being a single molecule, the binding investigation revealed that EA1 has a greater Stern–Volmer quenching constant (Ksv) than AA2 and W3. Synchronous measurements indicated that EA1, AA2, and W3 bind to tryptophan and tyrosine residues in venom, causing denaturation of the secondary structure of the residue. Finally, the current study concludes that EA1 has more therapeutic antivenom potential, which could be related to the synergism of chemicals found in it. When it came to single compounds, AA2 had stronger antioxidant and antivenom capabilities than W3. To understand the mechanism of action and manufacture the green antivenom medication, more testing of the EA1 and compounds remains required.
Data Mining Technology-Based English Listening Prediction Strategy and Its Training Approach
Authors: Zhu Ye
Published: March 2022

The big data era of “data-driven schools, analysis, and change education” has arrived, and the technology of data mining was born in the education industry. Based on data mining technology, this study explores English listening prediction strategies and training approaches. Prediction is an effective learning strategy in listening comprehension. Cultivating students to use predictive strategies is helpful to improve their listening comprehension, mining and analyzing the listening data generated by English skill training system, selecting the data related to students’ listening as features, aiming at students’ test listening scores, carrying out model training, and realizing the prediction of students’ listening. After evaluation and analysis, it is found that data mining technology can be used to predict students’ listening more accurately.
Enterocolic Lymphocytic Phlebitis Treated Preoperatively with Biologics and Immunosuppressive Agents
Authors: Okano Soh , Yao Takashi , Nomura Osamu , Nagahara Akihito , Hagiwara Toshiaki , Sugimoto Kiichi , Takahashi Makoto , Sakamoto Kazuhiro
Published: March 2022

Enterocolic lymphocytic phlebitis is phlebitis of unknown etiology in which lymphocytes affect veins without arteries and shows evidence of systemic vasculitis in the intestinal wall and mesentery, mainly in the small intestine and colon. Although patients present with a variety of gastrointestinal symptoms and findings like those of inflammatory bowel disease or ischemic bowel disease, there are no specific findings for enterocolic lymphocytic phlebitis. As a result, a diagnosis tends to be made after surgery. There are few case reports of enterocolic lymphocytic phlebitis, and the impact of chronic courses and immunosuppressive drugs on enterocolic lymphocytic phlebitis is not well known. A 47-year-old man was treated with infliximab and steroids for unexplained ulceration and narrowing of the ileocecal area, which was suspected to be inflammatory bowel disease with atypical findings. Lymphocytic phlebitis was noted in the surgical specimen, and enterocolic lymphocytic phlebitis was diagnosed. No recurrence of enterocolic lymphocytic phlebitis was observed postoperatively. This disease should also be considered among patients with inflammatory bowel disease-like lesions that do not respond to infliximab or steroids.
The Network Global Optimal Mapping Approach Utilizing a Discrete Firefly Optimization Algorithm
Authors: Jia He , Xiaomei Li
Published: March 2022

The three methods, agent-based model (ABM), product life cycle management (PLM), and discrete firefly optimization algorithm (DFOA), used herein rely on local infrastructure functions after reviewing the local and global functions. Then, a resolution of the multi-layered neural network is proposed. A resolution has been saved at all levels of the structure. A global approximation function that keeps learning samples stored is employed. The local map is converted using a set having a respective free rotation. Then, the translation is reflected by a global map of each local map using the affine transformation. The differences of the conversion that the optimal global map uses by minimizing the common sensor nodes are shared by the discovery of different local maps. The optimal conversion is found by running a discrete firefly optimization algorithm (DFOA). Thus, local map registration can resolve the merged map-based approach for each of several pairs and can achieve better performance. Therefore, it provides a systematic approach to building a global map from a local map. A computer simulation was conducted to verify the performance and efficiency of the algorithm.
Granulicatella adiacens Subacute Bacterial Endocarditis Presenting as Diffuse Alveolar Hemorrhage and Infection-Related Glomerulonephritis
Authors: Dao Kevin , Patel Pooja , Udani Kunjan , Pollock Erin , Gondal Maryam
Published: March 2022

We present a case of a 69-year-old male with a past medical history of prostate cancer, chronic mitral valve regurgitation, and recent dental cleaning who presented to the hospital with shortness of breath, anemia, and acute renal failure. Due to unexplained creatinine rise, a renal biopsy was obtained which was suspicious for infection-related glomerulonephritis (IRGN). Further workup confirmed subacute endocarditis according to modified Duke’s criteria. The patient’s blood culture became positive for Granulicatella adiacens, a nutritionally variant streptococcus. The patient later developed acute respiratory failure from diffuse alveolar hemorrhage (DAH). Subacute infective endocarditis can result in serious morbidity and mortality due to its insidious symptoms and subsequent fatal complications.
A Two-Population Cooperative Multiobjective Differential Evolution Algorithm for Batching Scheduling Problem
Authors: Song Cunli
Published: March 2022

Batch processing machine (BPM) scheduling problem is a NP hard problem for it includes machine allocation, job grouping, and batch scheduling. In this paper, to address the BPM scheduling problem with unrelated parallel machine, a multiobjective algorithm based on multipopulation coevolution is proposed to minimize the total energy consumption and the completion time simultaneously. Firstly, the mixed integer programming model of the problem is established, and four heuristic decoding rules are proposed. Secondly, to improve the diversity and convergence of the algorithm, the population is divided into two populations: each of the populations evolves independently by using different decoding rules, and the two populations will communicate through a common external archive set every certain number of generations. Thirdly, an initialization strategy and a variable neighborhood search algorithm (VNS) are proposed to improve the overall performance of the algorithm. Finally, in order to evaluate the proposed algorithm, a large number of comparative experiments with the state-of-the-art multiobjective algorithms are carried out, and the experimental results proved the effectiveness of the proposed algorithm.
Some Results on Pixley–Roy Hyperspaces
Authors: Kočinac Ljubiša D. R. , Tuyen Luong Quoc , Van Tuyen Ong
Published: March 2022

In this paper, we prove that if a space X has a point‐countable cn‐network, then the Pixley‐Roy hyperspace PR[X] also has a point‐countable cn‐network. If X is a regular space with a point‐countable ck‐network, then so does the Pixley‐Roy hyperspace PR[X]. Moreover, if X has a point‐countable sp‐network (resp., strict Pytkeev network), then the Pixley–Roy hyperspace PR2[X] also has a point‐countable sp‐network (resp., strict Pytkeev network). On the other hand, we show that if the Pixley–Roy hyperspace PR[X] has a countable cn‐network (resp., sp‐network and strict Pytkeev network), then so does X. By these results, we obtain that if the Pixley–Roy hyperspace PR[X] is a cosmic space (resp., ‐space, strict ‐space, and stric ‐space), then so is X. Furthermore, the Pixley‐Roy hyperspace PRn[S2] is not a k‐space for each n ≥ 2.
Transforaminal Endoscopic Lumbar Discectomy with versus without Platelet-Rich Plasma Injection for Lumbar Disc Herniation: A Prospective Cohort Study
Authors: Jiang Yi , Zuo Rujun , Yuan Shuai , Li Jian , Liu Chang , Zhang Jiexun , Ma Ming , Li Dasheng , Hai Yong
Published: March 2022

Objective. Transforaminal endoscopic lumbar discectomy (TELD) is an effective treatment for patients with lumbar disc herniation (LDH) with failure of conservative treatment. However, defects in the annulus fibrosus after TELD usually lead to a recurrence of LDH. Platelet-rich plasma (PRP) injection has shown promising potential for the repair of injured tissues. The combination of TELD and PRP injection has rarely been reported. Hence, this study aimed to evaluate the effectiveness, disc remodeling, and recurrence rate of LDH in TELD with or without PRP in LDH treatment. Methods. A total of 108 consecutive patients who underwent TELD were prospectively registered between July 2018 and December 2019 (https://clinicaltrials.gov/ct2/show/ChiCTR1800017228). Fifty-one and fifty-seven patients underwent TELD with PRP injections and TELD only, respectively. The visual analog scale (VAS) score for back and leg pain, Oswestry Disability Index (ODI), and MacNab criteria were evaluated, and perioperative complications were documented. The disc protrusion, spinal cross-sectional area (SCSA), and disc height were measured on MRI and evaluated preoperatively, postoperatively, and at regular follow-up. Results. All patients were followed up. Clinical improvement was noted in both groups. There were statistical differences in the VAS scores of back and leg pain and ODI between the two groups at 3 months, 6 months, and 1 year follow-up (

P
<
0.05

); the improvement in the PRP group was significant. The disc protrusion and SCSA on MRI in the PRP group showed better improvement, with lower recurrence rate, than that in the control group at the final follow-up (

P
<
0.05

). No adverse events were reported in our study following PRP injection. Conclusion. Our study showed that TELD with PRP injection was a safe and effective treatment for patients with LDH in the medium and long-term follow-up. PRP injection was beneficial for disc remodeling after endoscopic discectomy and decreased the recurrence of LDH.
Inhibition of α-Amylase and α-Glucosidase of Anthocyanin Isolated from Berberis integerrima Bunge Fruits: A Model of Antidiabetic Compounds
Authors: Moein Soheila , Moein Mahmoodreza , Javid Hassan
Published: March 2022

Anthocyanins are components of the flavonoid group with different properties, such as antidiabetic properties. This study aimed to isolate anthocyanin from Berberis integerrima Bunge fruits and evaluate α-amylase and α-glucosidase inhibition by this mentioned anthocyanin. The anthocyanin of Berberis integerrima fruit was isolated using column chromatography, and the antidiabetic properties of the anthocyanin were determined by the levels of α-amylase and α-glucosidase inhibition. Km and Vmax were also evaluated using the GraphPad Prism 7. The results of this study showed that the anthocyanin content of the fruit extract was 14.36 ± 0.33 mg/g, and following purification, this amount increased to 34.51 ± 0.42 mg/g. The highest of α-glucosidase inhibition was observed in the purified anthocyanin with IC50 = 0.71 ± 0.085 mg/ml, compared to acarbose as the baseline with IC50 = 8.8 ± 0.14 mg/ml,

p
<
0.0001

. Purified anthocyanin of the mentioned fruit with IC50 = 1.14 ± 0.003 mg/ml had the greatest α-amylase inhibition, which was similar to acarbose as the standard with IC50 = 1 ± 0.085 mg/ml,

p
<
0.05

. The inhibition of α-glucosidase and α-amylase by purified anthocyanin showed uncompetitive inhibition, and the enzyme inhibition by unpurified anthocyanin showed mixed inhibition. The obtained findings showed that Berberis integerrima fruit can be mentioned as a source of anthocyanin with antidiabetic properties.
College Physical Education Flipped Classroom Teaching Based on Multimedia Network Data Fusion
Authors: Zhao Meng
Published: March 2022

In the Internet age, the challenge to traditional physical education classroom teaching has also reached its peak. Traditional physical education teaching has little effect on students. The proposal of flipped classroom can be said to greatly improve the dilemma of traditional physical education classroom teaching. This article is aimed at studying the exploration of flipped classroom teaching in college physical education. For this reason, this paper proposes a data fusion method based on multimedia network to improve the teaching mode and optimizes the algorithm of similar node clustering based on

K

-means, to make this algorithm more suitable for the teaching monitoring of flipped classrooms in college physical education. At the same time, experiments and analysis are designed to explore the effects of flipped teaching mode. The experimental results of this paper show that under the new teaching mode, the initiative of college students in physical education classes has increased by 31%, and their interest in learning in physical education classes has increased by 28%. And after applying the new teaching model, the physical fitness of the students has also improved by 14%, and the mastery of physical skills has become more proficient.
Investigation on the Deformation and Failure Characteristics of Shale Samples Containing Circular Hole considering the Bedding Angle Effect under Uniaxial Compression
Authors: Liang Qinyuan , Zhao Cheng , Zhou Yu , Li Bo , Bao Ruyi
Published: March 2022

The drilling and blasting method (DBM) is widely used in the excavation of tunnel engineering, and it is essential to first drill circular holes. This paper experimentally explored the influence of bedding angles on crack propagation of shale containing a circular hole. Specifically, the uniaxial compression tests were carried out on shale samples with a single prefabricated hole combined with digital image correlation technology (DIC) to obtain the real-time deformation process near the macro damage. The results show that the peak strength, global shear strain field, failure mode around the circular hole and macro crack failure mode of shale with prefabricated circular hole are closely related to the bedding dip angle. The strength generally increases with the decrease of the bedding angle. Two transitions of failure mode were observed at the point of 45° and 75°: tensile shear mixed failure around the circular hole (less than 45°) first transits into no damage around the circular hole (60° and 70°), and then, tensile failure occurs around the circular hole (90°). In addition, for the cases of 60° and 75°, tensile failure away from the circular hole occurs along the weak surface of bedding, while for the other cases, the tensile failure through the circular hole mainly occurs. These findings have implied that the bedding angle is one essential parameter that needs to be considered for the stability of tunnel surrounding rock.
Motion Action Analysis at Basketball Sports Scene Based on Image Processing
Authors: Liu Jun
Published: March 2022

To solve the problems of low accuracy and high time cost in manual recording and statistics of basketball data, an automatic analysis method of motion action under the basketball sports scene based on the spatial temporal graph convolutional neural network is proposed. By using the graph structure in the data structure to model the joints and limbs of the human body, and using the spatial temporal graph structure to model the posture action, the extraction and estimation of human body posture in basketball sports scenes are realized. Then, training combined with transfer learning, the recognition of motion fuzzy posture is realized through the classification and application of a label subset. Finally, using the self-made OpenCV to collect and calibrate NBA basketball videos, the effectiveness of the proposed method is verified by analyzing the motion action. The results show that the proposed method based on the spatial temporal graph convolutional neural network can recognize all kinds of movements in different basketball scenes. The average recognition accuracy is more than 75%. It can be seen that the method has certain practical application value. Compared with the common motion analysis method feature descriptors, the motion action analysis method based on the spatial temporal graph convolution neural network has higher identification accuracy and can be used for motion action analysis in the actual basketball sports scenes.
Image Quality Evaluation Based on Gradient, Visual Saliency, and Color Information
Authors: Chang Hua-Wen , Bi Xiao-Dong , Du Cheng-Yang , Mao Chang-Wei , Wang Ming-Hui
Published: March 2022

This paper proposes an image quality evaluation (IQE) metric by considering gradient, visual saliency, and color information. Visual saliency and gradient information are two types of effective features for quality evaluation research. Different regions within an image are not uniformly important for IQE. Visual saliency can find the most attractive regions to the human visual system in a given image. These attractive image regions are more strongly correlated with image quality results. In addition, the degradation of gradient information is related to the structure distortion which is a very important factor for image quality. However, the two types of features cannot accurately evaluate the color distortion of images. In order to evaluate chromatic distortion, this paper proposes the color similarity which is measured in the YIQ color space. The computation of the proposed method begins with the similarity calculation of local gradient information, visual saliency, and color information. Then, the final quality score is obtained by the standard deviation on each similarity component. The experimental results on five benchmark databases (i.e., CSIQ, IVC, LIVE, TID2013, and TID2008) show that the proposed IQE method performs better than other methods in the correlation with subjective quality judgment.
Numerical Simulation of a 3D Seepage Field of an Asphaltic and Concrete Core Rockfill Dam in an Arid Area
Authors: Guo Da-Hai , Sun Yun , Gu Xin-Bao
Published: March 2022

This investigation focused on the three-dimensional (3D) seepage field simulation of an asphaltic concrete core rockfill dam (ACRD) under the design water level conditions. At first, the finite element theory of seepage is introduced in the arid area; then, a hydro-junction projection on the Nuer River in Xinjiang is selected as engineering background, the finite element model of a seepage field of an asphaltic and concrete core rockfill dam under the design water level condition is established, and a boundary condition is determined, and the next distribution of a seepage field of different profiles are plotted, and the monitoring value of different points is compared with the finite element solution; conclusions can be drawn that when the antiseepage system of the dam foundation is good, the water level at the downstream side of the core wall is greatly reduced; for the dam foundation, the effects of reducing head of the cutoff wall are rather obvious, and for the dam body, certain leakage defects at the joint of an impermeable body in the cross sections

0
+
456.5
 
m

and

0
+
540
 
m

can exist. For the dam-around seepage, the hydrogeological condition conforms to the actual conditions. These conclusions can provide great significance for the future design.
Analysis of a Novel Resistive Film Absorber for Suppression of Electromagnetic Radiation in System-in-Packages
Authors: Huo Shuyun , Li Yan , Lei Xiaoyong , Sun Zhe , Yu Heyuan , Li Bingheng , Fang Lidan , Xu Shaojie , Jin Ning , Li Erping
Published: March 2022

This paper presents a new method to suppress the electromagnetic radiation between the heatsink and packaging substrate in the system-in-package by using a resistance film absorber. The proposed absorber is designed with the indium tin oxide sputtered on both sides of the glass substrate, and the top layer adopts the combination of Jerusalem cross-shaped, ring-shaped, and L-shaped resistive film to expand the bandwidth. The unit size of the absorber is

0.14

λ

L

×
0.14

λ

L

and the thickness is 0.049

λ

L

. It has an absorptivity of more than 90% in the frequency range of 21 GHz to 55 GHz with polarization insensitivity, and angular stability. Moreover, the radiated electric field from the chip package at 3 m is significantly reduced when employing the proposed absorber, and the maximum suppression of the electric field reaches 18 dB. Finally, the measurement results are carried out to verify the simulation results. Both simulation and experiment results demonstrate that the proposed absorber has excellent radiation suppression, which can be properly applied to electromagnetic interference suppression of the printed circuit board.
Application of PDCA Process Management in Day Operation Ward and the Influence of Nursing Quality and Safety
Authors: Ma Huan , Cao Juan , Li Meng
Published: March 2022

Objective. To survey the application of PDCA (plan, do, check, and action) process management in day operation ward and the influence of nursing quality and safety. Methods. The routine nursing management was carried out in our hospital from March 2019 to March 2020, which was set as the control group (

N
=
20

), and the PDCA process management was implemented from March 2020 to March 2021 as the research group (

N
=
20

). Twenty nurses and patients were selected as subjects in two periods of time. The nursing quality, the score of individual quality control examination in clinical department, the nursing quality of operating room, the incidence of adverse events and nursing errors, the number of problems existing in the quality management of nursing documents, and the score of nursing satisfaction were accessed. Results. In the comparison of nursing quality, the nursing safety, specialty quality, and nursing norms of the study group were higher compared to the control (

P
<
0.05

). In terms of the scores of individual quality control examination in clinical departments, the scores of ward management, rescue, therapeutic articles, drug management, first-level nursing, nursing documents, and head nurses in the study group were greater compared to the control (

P
<
0.05

). In terms of the operating room nursing quality score, the instrument management, instrument preparation, nurses’ cooperation skills, disinfection and isolation quality, and the total score of the study group were above the control (

P
<
0.05

). In terms of the incidence of operative adverse events and nursing errors, the incidence of nosocomial infection, iatrogenic injury, information check error, equipment failure, violation of operation regulations, ECG monitoring error, infusion operation error, and medication error in the study group was lower compared to the control (

P
<
0.05

). According to the comparison of the number of problems existing in the quality management of nursing documents, the number of problems in temperature sheet, medical order, evaluation sheet, nursing record, and other nursing documents in the study group was lower than the control (

P
<
0.05

). The scores of nursing communication, professional technology, nursing service attitude, nursing environment, and knowledge education in the study group were higher in contrast to the control (

P
<
0.05

). Conclusion. The application of PDCA management can effectively enhance the nursing quality and safety of the day operation ward, further facilitate the quality of hospital nursing work, and improve patient satisfaction, which exert great potential, and application value in the management of day ward in the future.
Conditions of Semiscalar Equivalence of One Class 3×3 Matrices of Simple Structure
Authors: Shavarovskii B. Z.
Published: March 2022

This paper solves the problem of classifying matrices over a ring of polynomials up to semiscalarly equivalence transformations. For the selected set of polynomial matrices of simple structure, the so‐called oriented by characteristic roots reduced matrix is constructed. The latter, in addition to the triangular form and the presence of invariant factors on the main diagonal, has some predefined properties. Invariants and conditions of semiscalar equivalence are established for such matrices.
[Retracted] Automatic Classification Method of Music Genres Based on Deep Belief Network and Sparse Representation
Authors: Pan Lina
Published: March 2022

Aiming at the problems of poor classification effect, low accuracy, and long time in the current automatic classification methods of music genres, an automatic classification method of music genres based on deep belief network and sparse representation is proposed. The music signal is preprocessed by framing, pre‐emphasis, and windowing, and the characteristic parameters of the music signal are extracted by Mel frequency cepstrum coefficient analysis. The restricted Boltzmann machine is trained layer by layer to obtain the connection weights between layers of the depth belief network model. According to the output classification, the connection weights in the model are fine‐tuned by using the error back‐propagation algorithm. Based on the deep belief network model after fine‐tuning training, the structure of the music genre classification network model is designed. Combined with the classification algorithm of sparse representation, for the training samples of sparse representation music genre, the sparse solution is obtained by using the minimum norm, the sparse representation of test vector is calculated, the category of training samples is judged, and the automatic classification of music genre is realized. The experimental results show that the music genre automatic classification effect of the proposed method is better, the classification accuracy rate is higher, and the classification time can be effectively shortened.