bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Poly(L-arginine)/PSSA/QDs Modified Biosensor for Simultaneous Detection of Different Glucocorticoids in Wastewater
Authors: Luo Zhimin , He Na , Chen Xueqiang , Yu Liangwei , Ma Yirong , Cui Xia , Xu Jiameng , Zeng Aiguo
Published: July 2022

Due to poor electro-active and less structural differences of glucocorticoids, it is still a challenge to realize simultaneous electrochemical detection of different glucocorticoids in wastewater. In this study, an electrochemical biosensing platform was constructed through electrochemical in situ polymerization. A poly(sulphosalicylic acid) (PSSA) composite electrode was prepared based on polymerized L-arginine (Arg) doped with carbon quantum dots (QDs) and GCE-Arg-PSSA-QD sensor was obtained. Transmission electron microscopy, scanning electron microscopy and energy dispersive spectrometer were used to characterize the morphology and physical property of obtained electrodes. The PSSA layer mimics the sulfonated metabolism of glucocorticoids in vivo, allowing for direct reduction of glucocorticoids on the surface of electrode, thus enabling the capture of different glucocorticoids. Meanwhile, the fast electron transfer of QDs and the signal magnification effect of Arg allow a sensitive and direct detection of dexamethasone (DXM) and hydrocortisone (HC) simultaneously. Differential pulse voltammetry was used to investigate the analytical properties of prepared biosensing platform. The results show that GCE-Arg-PSSA-QD sensor delivered an analytical performance for both DXM and HC with a limit of detection of 9 nM and 37 nM. Then, the method was utilized for simultaneous detection of DXM and HC in real wastewater samples with favorable results.
Investigation on Dielectric Permittivity of PVDF/BaTiO3 Nanocomposites Materials by Response Surface Methodology
Authors: Zazoum Bouchaib
Published: July 2022

It is well known that the size and loading of nanoparticles affect the dielectric permittivity of nanodielectric materials. In this study, poly(vinylidene fluoride) (PVDF) based nanodielectric for high energy density capacitor were prepared by mixing PVDF with barium titanate, BaTiO3 (BT) using ball milling process. A response surface methodology (RSM) based Box–Behnken Design (BBD) was systematically used to design and analyze the experiments. Interaction effect of independent factors such as BT size, BT volume fraction and milling time on effective dielectric permittivity was examined. The result showed the effective dielectric permittivity is sensitive to BT size and BT volume fraction. Also, RSM optimization approach was applied to generate optimum conditions corresponding to a combination of BT size of 69.92 nm, BT volume fraction of 29.95% and milling time of 44.07 min. At these conditions, the optimum dielectric response is 21.87.
Automatic Detection of Microaneurysms in OCT Images Using Bag of Features
Authors: Kazeminasab Elahe Sadat , Almasi Ramin , Shoushtarian Bijan , Golkar Ehsan , Rabbani Hossein
Published: July 2022

Diabetic retinopathy (DR) caused by diabetes occurs as a result of changes in the retinal vessels and causes visual impairment. Microaneurysms (MAs) are the early clinical signs of DR, whose timely diagnosis can help detecting DR in the early stages of its development. It has been observed that MAs are more common in the inner retinal layers compared to the outer retinal layers in eyes suffering from DR. Optical coherence tomography (OCT) is a noninvasive imaging technique that provides a cross-sectional view of the retina, and it has been used in recent years to diagnose many eye diseases. As a result, this paper attempts to identify areas with MA from normal areas of the retina using OCT images. This work is done using the dataset collected from FA and OCT images of 20 patients with DR. In this regard, firstly fluorescein angiography (FA) and OCT images were registered. Then, the MA and normal areas were separated, and the features of each of these areas were extracted using the Bag of Features (BOF) approach with the Speeded-Up Robust Feature (SURF) descriptor. Finally, the classification process was performed using a multilayer perceptron network. For each of the criteria of accuracy, sensitivity, specificity, and precision, the obtained results were 96.33%, 97.33%, 95.4%, and 95.28%, respectively. Utilizing OCT images to detect MAs automatically is a new idea, and the results obtained as preliminary research in this field are promising.
GSA-Fuzz: Optimize Seed Mutation with Gravitational Search Algorithm
Authors: Lin Mingmin , Zeng Yingpei , Wu Ting , Wang Qiuhua , Fang Linan , Guo Shanqing
Published: July 2022

Mutation-based fuzzing is currently one of the most effective techniques to discover software vulnerabilities. It relies on mutation strategies to generate interesting seeds. As a state-of-the-art mutation-based fuzzer, AFL follows a mutation strategy with high randomization, which uses randomly selected mutation operators to mutate seeds at random offsets. Its strategy may ignore some efficient mutation operators and mutation positions. Therefore, in this paper, we propose a solution named GSA-Fuzz to improve the efficiency of seed mutation strategy with the gravitational search algorithm (GSA). GSA-Fuzz uses GSA to learn the optimal selection probability distributions of operators and mutation positions and designs a position-sensitive strategy to guide seed mutation with learned distributions. Besides, GSA-Fuzz also provides a flip mode to calculate the efficiencies of the deterministic stage and indeterministic stage and implements switching between the two stages to further improve the efficiency of seed mutation. We compare GSA-Fuzz with the state-of-the-art fuzzers AFL, MOPT-AFL, and EcoFuzz on 10 open-source programs. GSA-Fuzz finds 145% more paths than AFL, 66% more paths than EcoFuzz, and 43% more paths than MOPT-AFL. In addition, GSA-Fuzz also outperforms other fuzzers in bug detection and line coverage.
CFD Simulation of Pressure and Velocity Drop on Y-Type Fuel Injectors
Authors: Kotteda Tarun Kumar , Namburi Sudheer Kumar Varma , Kantheti Prasada Raju , Penmetsa Ravi Varma , Chowdary Velivela Lakshmikanth
Published: July 2022

Hydrocarbon injection is an important stage in combustion, where the atomisation process is involved the atomisation process which consists of disintegrating the fuel into small droplets, through an injector to add more transfer area, the fuel, through an injector to add more transfer area. The size of droplet size generated by the injector must be less than 80 μm to ensure good combustion and avoid combustion and avoid pollutants such as CO and NOx. This research worked with ethanol, a low-emission hydrocarbon, which has a high viscosity which makes it difficult to achieve the correct droplet diameter. This type of study needs to be both theoretical and experimental with simulation being a great tool to replace the latter. The finite element method included in the Flow Simulation package of the SolidWorks software was used in this research. The Flow Simulation package of the SolidWorks software was used, where a Y-type injector was sketched to be evaluated. The dynamic simulation helped to measure the velocity field, at the outlet of the air nozzle, a cavity with a diameter of 0.4 mm, which helps to increase the kinetic energy of the air. The kinetic energy of the fluid obtains the highest values of the Mach number in this area.
Conv-Wake: A Lightweight Framework for Aircraft Wake Recognition
Authors: Pan Wei-Jun , Leng Yuan-Fei , Wu Tian-Yi , Xu Ya-Xing , Zhang Xiao-Lei
Published: July 2022

The recognition of aircraft wake vortex can provide an indicator of early warning for civil aviation transportation safety. In this paper, several wake vortex recognition models based on deep learning and traditional machine learning were presented. Nonetheless, these models are not completely suitable owing to their dependence on the visualization of LiDAR data that yields the information loss of in reconstructing the behavior patterns of wake vortex. To tackle this problem, we proposed a lightweight deep learning framework to recognize aircraft wake vortex in the wind field of Shenzhen Baoan Airport’s arrival and departure routes. The nature of the introduced model is geared towards three aspects. First, the dilation patch embedding module is used as the input representation of the framework, attaining additional rich semantics information over long distances while maintaining parameters. Second, we combined a separable convolution module with a hybrid attention mechanism, increasing the model’s attention to the space position of wake vortex core. Third, environmental factors that affect the vortex behavior of the aircraft’s wake were encoded into the model. Experiments were conducted on a Doppler LiDAR acquisition dataset to validate the effectiveness of the proposed model. The results show that the proposed network has an accuracy of 0.9963 and a recognition speed at 100 frames per second was achieved on an experimental device with 0.51 M parameters.
Collective Expert Perspectives on the Use of Safinamide as Adjunctive Therapy for Parkinson’s Disease: Online-Based Delphi Survey
Authors: Takeda Atsushi , Tsuboi Yoshio , Nomoto Masahiro , Mochizuki Hideki , Hattori Nobutaka
Published: July 2022

Background. Safinamide is a selective, reversible monoamine oxidase-B inhibitor with a sodium channel inhibitory effect. Published clinical evidence supports safinamide as an effective therapy for Parkinson’s disease (PD) with wearing-off. However, to date, no consensus recommendations have been available to guide physicians in Asia on the optimal use of safinamide in clinical practice. To summarize opinions on the optimal patient profile and methods of using safinamide in common clinical scenarios, Japanese movement disorder specialists with expertise in PD investigated the perspectives of neurologists and neurosurgeons. Methods. The Delphi panel approach was used to summarize the opinions of panelists. The panel comprised doctors from Japan with extensive clinical practice experience in the use of safinamide (n = 46 at the final round). The consensus was defined as 80% or more agreement between panelists for each scenario at the final round. Results. There was a high level of agreement that patients with the following symptoms are suitable for safinamide treatment such as bradykinesia (100%), rigidity (95.7%), and/or gait disorder (89.1%) based on motor symptoms and PD-related pain (97.8%) and/or depression or apathy (93.5%) based on non-motor symptoms. Morning-off (95.7%), but not dyskinesia (71.7%), also reached consensus. The use of high-dose safinamide (100 mg/day) was recommended when the improvement in PD symptoms is insufficient and increasing the doses of other anti-PD medications is difficult (97.8%) or when the abovementioned non-motor symptoms adversely affect daily life (93.5%). Conclusions. This report provides expert perspectives on the use of safinamide for a wide range of clinical scenarios in Japan.
Optimizing Laser-Induced Voltage Signal in SnO2 Thin Films by Changing Oxygen Pressure
Authors: Zhou Xiaohong , Zhou Xiaofang , Zhang Hui
Published: July 2022

Laser-induced voltage (LIV) effect of the thin film can be applied for the laser energy measurement and millimeter-wave detection. The amplitude and corresponding velocity of LIV signals depended on the film material and preparation process. In the study, the effect of oxygen pressure on the LIV signals of SnO2 thin films was studied and got the surprised result that the maximum LIV peak reach about 4.02 V and response time with only 98 ns when oxygen pressure was 30 Pa. The crystal quality of the films was analyzed by X-ray diffraction (XRD) and LIV measurements, and a linear relationship between LIV peak voltage and laser energy was also disclosed. Those findings indicate that the laser energy/power meters designed with SnO2 thin film with optimized oxygen pressure would have the merits high precision, high sensitivity, and fast response.
Application of Improved VMD-LSTM Model in Sports Artificial Intelligence
Authors: Zhang Tiancong , Fu Caihua
Published: July 2022

In recent years, with the rapid development of a new generation of artificial intelligence technology, how to deeply apply artificial intelligence technology to physical education and break through the limitations of time-space scenarios and knowledge transfer methods in traditional models has become a key issue in intelligent physical education in the era of artificial intelligence. In order to realize the online monitoring of wearable devices with artificial intelligence in sports and overcome the problem of low recognition accuracy of electrocardiogram, blood oxygen, and respiratory signals in many cases, this paper proposes a combination of variational modal decomposition based on the maximum envelope kurtosis method. Long-short-term neural network (VMD-LSTM) monitoring method for wearable sports equipment. Through experimental analysis and verification, the current signal of the VMD model shows a trend of fluctuating from large to stable and then to large with motion, while the training accuracy of LSTM after the 150th iteration is 94.09%, which shows that the coupling model VMD LSTM can better predict the direction of sports artificial intelligence. In addition, although the training time of the BP neural network is shorter than that of the LSTM model, there is a large gap between the recognition effect and the LSTM, and there are also large differences between different neural network structures. This shows that the VMD-LSTM model has broad application prospects in such models.
Instantaneous Bandwidth Enhancement for Variable Inclination Continuous Transverse Stub Antenna
Authors: Liu Zheng , Zhang Jian , Lei Xue , Li Tianpeng , Gao Jun , Xu Zhijian
Published: July 2022

In this paper, a method was developed to achieve the instantaneous bandwidth enhancement of a variable inclination continuous transverse stub (VICTS) antenna. The aperture of the VICTS antenna was divided into a subarray, and the true-time delay was introduced to reduce the dispersion of the antenna. The method has low loss and is suitable for the entire beam scanning range. To demonstrate this method, a proposed VICTS antenna composed of 2 × 2 subarrays was designed and simulated. Compared with the traditional VICTS antenna of the same aperture size, the gain loss was reduced by at least 52% and the 3/4-dB gain-loss bandwidth increased from 2.5% to 4.2%. The impedance bandwidth of 16.7% with the

S

11

value of each subarray below −15 dB was achieved, and the sidelobe of the whole antenna was below −10 dB. The antenna radius was 0.34 m, and the aperture efficiency was 14.8%. The proposed antenna is a suitable candidate as a gateway station antenna for low earth orbit (LEO) satellite communication.
Global Research Trend Analysis of Osmanthus fragrans Based on Bibliometrix
Authors: Chen Tao , Gong Xusheng
Published: July 2022

Osmanthus fragrans is the ornamental and practical excellent garden tree featured with greening, beautification, and fragrance in one, and has been domesticated in China for 2500 years. Besides, an increasing number of papers on O. fragrans have been published so far, but these contributions have not been analyzed comprehensively. Considering that, in this research, a bibliometric methodology is adopted on documents related to O. fragrans obtained from the WoS database. The study demonstrated the main countries and institutions in terms of this field. Among them, the Chinese research on O. fragrans is in a leading position in the world. Regarding the specialization, the institution ranking is led by the Nanjing Forestry University, Henan University, and Zhejiang University. Apart from that, analysis on the keywords also highlighted the lines of research associated with plant functionality (e.g., antioxidant, antifungal activity, and anti-inflammatory activities), natural products (e.g., carotenoids, aroma, flavonoids, essential oils, phenylethanoid glycosides, and salidroside), and molecular biology (e.g., genetic diversity, transcription factors, and phylogeny). The results from this study also revealed that there is a lack of research on the production mechanism of floral fragrance and the flower color regulation mechanism in O. fragrans. Moreover, the aroma and flower color are gradually developing into the main areas of research on O. fragrans. It is also expected that future research in this field will focus on biochemistry and biomolecules.
Effectiveness of Nanosilica on Enhancing the Mechanical and Microstructure Properties of Kenaf/Carbon Fiber-Reinforced Epoxy-Based Nanocomposites
Authors: Ponnusamy Muruganantham , Natrayan L. , Kaliappan S. , Velmurugan G. , Thanappan Subash
Published: July 2022

With an ultrasonic frequency of 15 kHz and an 850 W power capacity, the effects of nanosilica particle inclusion on the tensile, flexural, and impact properties of woven fiber-reinforced kenaf/carbon fiber/epoxy hybrid composites were explored experimentally. The nanoparticles were dispersed uniformly in the epoxy using an ultrasonic probe. Test samples were made according to ASTM requirements for three distinct weight compositions of nanosilica particles (1, 1.5, and 2 wt%). The composites were made utilizing the compression moulding process with the following parameters: (i) weight ratio of nanosilica, (ii) length of kenaf fibers, and (iii) number of carbon fiber layers to achieve the objectives above. According to unmodified samples, with a nanosilica concentration of 1.5 wt%, tensile strength improved by 31%, flexural strength increased by 42.36%, and impact strength increased by 22.65%. It was established that the interaction of micro silica particles with epoxy and fiber, which improved interfacial tension, had a substantial impact on mechanical and water retention capabilities. The 1.5 wt% nanosilica inclusion absorbs less moisture than the 1 and 2 wt% silica composites. A scanning electron microscope was used to examine the fractured surface of the tested nanocomposites.
Blockchain Consensus Mechanism for Distributed Energy Transactions
Authors: Wu Jiangyao , Liu Ye , Cai Jiefei , Su Shuhui
Published: July 2022

In order to reduce the cost of grid dispatching and increase the transparency of energy transactions, the distributed energy transaction model based on blockchain is constructed. At the same time, in order to improve the high communication overhead and low throughput of the traditional PBFT algorithm in the consortium blockchain, an efficient Byzantine fault-tolerant consensus mechanism (DE-BFT) for the energy blockchain is designed. The algorithm improves from two aspect: node election and main chain consensus. In the stage of node election, the model uses a health score evaluation and a verifiable random function to improve the security and randomness of node selection. In the stage of main chain consensus, the efficient data consistency interaction protocol decreases the complexity of the communications between nodes, down to a constant term level from exponential one. The result shows that, compared with other consensus algorithm, the DE-BFT algorithm performs better in terms of consensus delay, communication overhead, throughput, and consensus node reliability.
Antitumor Effect of Si-Jun-Zi Decoction on SGC7901 Gastric Cancer Cells by CMTM2 Activation
Authors: Li Xiangnan , Chen Wenna , Miao Lanying , Sun Hongwei , Gao Xia , Guo Shengnan , Zhang Yueshi , Yang Yufeng , Guo Junfu
Published: July 2022

The Si-Jun-Zi decoction (SJZ), a traditional Chinese medicine (TCM) formula, is used clinically against multiple malignancies, including gastric cancer (GC). In previous study, we have shown that SJZ plays an anticancer role in SGC7901 cell xenograft mice models. However, the underlying mechanisms are unclear. The objective of this study was to evaluate the effect and mechanism of SJZ on the proliferation, migration, invasion, and cancer stem cell-like properties of GC cells. High-throughput mRNA sequencing analysis was performed to investigate the global alterations in gene expression in xenograft tumors, and 56 significantly differentially expressed genes (43 upregulated and 13 downregulated genes) were identified between the SJZ group and the Model group totally. We focused on CMTM2, which was significantly increased after SJZ intervention, as a candidate target gene of SJZ. The results indicated that CMTM2 expression was elevated in SJZ-treated SGC7901 cells and knocking-down CMTM2 expression partially hampered the inhibitory effects of SJZ on the proliferation, migration, and invasion of GC cells. Moreover, SJZ treatment repressed the spheroid and colony-forming capacity in GC cells, accompanied by downregulation of stem cell markers including SOX2, NANOG, and CD44. CMTM2 knockdown antagonized the effects of SJZ on the cancer stem cell-like properties of SGC7901 cells. Thus, SJZ effectively suppressed the proliferation, migration, invasion, and cancer stem cell-like properties of GC cells in vitro by upregulating CMTM2 expression.
MuSK-Myasthenia Gravis Unmasked by Hydroxychloroquine
Authors: Bhaskar Shalini , Abdul Rani Mohammed Fauzi Bin
Published: July 2022

Introduction. Muscle-specific tyrosine kinase (MuSK) antibody positive myasthenia gravis (MuSK-MG) is a rare clinical disorder, and diagnosing it can be challenging. Most of the patients present with predominant facial, oculo-bulbar, and neck muscle weakness along with respiratory muscle involvement. Such a presentation can be mistaken for bulbar onset motor neuron disease or as one of the rare oculopharyngeal myopathies. Case Report. We present a young female patient, who reported to us with neck muscle weakness, ocular and bulbar muscle paralysis, and breathing difficulty. She had been healthy till she was prescribed hydroxychloroquine (HCQ) tablets (400 mg per day) for a malar rash. By the end of the second week after commencing the HCQ therapy, she developed the muscle weakness. Her symptoms began to regress after stopping HCQ and starting steroids, pyridostigmine, and, subsequently, azathioprine. She was negative for anticholinesterase receptor antibodies (AChR-Ab) but was positive for MuSK antibodies (MuSK-Ab). Conclusion. This report proves that MuSK-MG can also be unmasked by HCQ administration. Awareness of drug-induced/-unmasked MG is important, as failure to do so may result in a severe morbidity and a fatal outcome. The offending drug has to be promptly discontinued, and appropriate treatment should be instituted.
Application of Data Mining in Predictive Analysis of Network Security Model
Authors: Bian Jinliang , Fu Shuguang
Published: July 2022

In order to improve the application effect of data mining in the predictive analysis of network security models, this paper starts with the concept of data mining and data sources, then introduces related technologies from data mining technology and security setting collection technology, and finally introduces the computer network security maintenance system based on data mining. The results show that data mining technology plays an important role in the predictive analysis of network security models. The data show that by the end of 2021, the number of security vulnerabilities collected by my country’s information security vulnerability sharing platform has reached 14,871, an increase of 46.6% compared with 2020. Among them, there are 5,567 high-risk vulnerabilities, an increase of about 1,400 vulnerabilities compared with last year. It can be seen that the number of vulnerabilities discovered every year and the number of high-risk vulnerabilities are basically increasing year by year. Therefore, it is recommended to strengthen the promotion of data mining technology in the predictive analysis of network security models, so that it can play a greater role.
Data Encryption Technology Analysis of Robot Computer Network Information
Authors: Shi Qiaolian , Liu Yan
Published: July 2022

In order to ensure the security of robot computer network information, a data encryption technology is proposed. Through the comprehensive research of symmetric cryptography algorithm, open cryptography algorithm, hybrid encryption algorithm, AES algorithm, quantum cryptography technology, and ECC algorithm, a data encryption method suitable for robot computer network information is proposed. It is found that when analyzing the entanglement characteristics of the four-particle cluster state, the anomaly will inevitably disturb its state. In the eavesdropping detection, the communication parties can cooperate to detect the existence of abnormal conditions. In addition, in the formal communication stage, trial photons are introduced, whose confidentiality characteristics are guaranteed by the principle of quantum noncloning and the uncertainty principle. Therefore, this technology further ensures the confidentiality of communication.
Combination of Goniothalamin and Sol‐Gel‐Derived Bioactive Glass 45S5 Enhances Growth Inhibitory Activity via Apoptosis Induction and Cell Cycle Arrest in Breast Cancer Cells MCF‐7
Authors: Bakar Siti Aishah Abu , Ali Abdul Manaf , Noor Siti Noor Fazliah Mohd , Hamid Shahrul Bariyah Sahul , Azhar Nur Asna , Mohamad Noor Muzamil , Ahmad Nor Hazwani
Published: July 2022

Background. Combination of natural products with chemically synthesised biomaterials as cancer therapy has attracted great interest lately. Hence, this study is aimed at investigating the combined effects of goniothalamin and bioactive glass 45S5 (GTN‐BG) and evaluating their anticancer properties on human breast cancer cells MCF‐7. Methods. The BG 45S5 was prepared using the sol‐gel process followed by characterisation using PSA, BET, SEM/EDS, XRD, and FTIR. The effects of GTN‐BG on the proliferation of MCF‐7 were assessed by MTT, PrestoBlue, and scratch wound assays. The cell cycle analysis, Annexin‐FITC assay, and activation of caspase‐3/7, caspase‐8, and caspase‐9 assays were determined to further explore its mechanism of action. Results. The synthesised BG 45S5 was classified as a fine powder, having a rough surface, and contains mesopores of 12.6 nm. EDS analysis revealed that silica and calcium elements are the primary components of BG powders. Both crystalline and amorphous structures were detected with 73% and 27% similarity to Na2Ca2(Si2O7) and hydroxyapatite, respectively. The combination of GTN‐BG was more potent than GTN in inhibiting the proliferation of MCF‐7 cells. G0/G1 and G2/M phases of the cell cycle were arrested by GTN and GTN‐BG. The percentage of viable cells in GTN‐BG treatment was significantly lower than that in GTN. In terms of activation of initiator caspases for both extrinsic and intrinsic apoptosis pathways, caspase‐8 and caspase‐9 were found more effective in response to GTN‐BG than GTN. Conclusion. The anticancer effect of GTN in MCF‐7 cells was improved when combined with BG. The findings provide significant insight into the mechanism of GTN‐BG against MCF‐7 cells, which can potentially be used as a novel anticancer therapeutic approach.
Endovascular Treatment and Outcomes for Femoropopliteal In-Stent Restenosis: Insights from the XLPAD Registry
Authors: Vu Michael H. , Sande-Docor Glaiza-Mae , Liu Yulun , Tsai Shirling , Patel Mitul , Metzger Chris , Shishehbor Mehdi H. , Brilakis Emmanouil S. , Shammas Nicolas W. , Monteleone Peter , Banerjee Subhash
Published: July 2022

Background. There is limited “real-world” evidence examining treatment modalities and outcomes in patients with symptomatic peripheral arterial disease undergoing endovascular treatment of femoropopliteal (FP) in-stent restenosis (ISR). Materials and Methods. We compared outcomes in 2,895 patients from the XLPAD registry (NCT01904851) between 2006 and 2019 treated for FP ISR (n = 347) and non-ISR (n = 2,548) lesions. Primary endpoint included major adverse limb events (MALE) at 1 year, a composite of all-cause death, target limb repeat revascularization, or major amputation. Results. ISR patients were more frequently on antiplatelet (94.5% vs 89.4%,

p
=
0.007

) and statin (68.9% vs 60.3%,

p
=
0.003

) therapies. Lesion length was similar (ISR: 145 ± 99 mm vs. non-ISR: 142 ± 99 mm,

p
=
0.55

). Fewer treated ISR lesions were chronic total occlusions (47.3% vs. 53.7%,

p
=
0.02

) and severely calcified (22.4% vs. 44.7%,

p
<
0.001

). Atherectomy (63.5% vs. 45.0%,

p
<
0.001

) and drug-coated balloons (DCB; 4.7% vs. 1.7%,

p
<
0.001

) were more frequently used in ISR lesions. The distal embolization rate was higher in ISR lesions (2.4% vs. 0.9%,

p
=
0.02

). Repeat revascularization (21.5% vs. 16.7%,

p
=
0.04

; Figure) was higher and freedom from MALE at 1 year was significantly lower (87% vs. 92.5%,

p
<
0.001

) in the ISR group. Conclusion. Atherectomy and DCB are more frequently used to treat FP ISR lesions. Patients with FP ISR have more intraprocedural distal embolization, higher repeat revascularization procedures, and lower freedom from MALE at 1 year.
Improved YOLOv4 for Pedestrian Detection and Counting in UAV Images
Authors: Kong Hao , Chen Zhi , Yue Wenjing , Ni Kang
Published: July 2022

UAV (unmanned aerial vehicle) captured images have small pedestrian targets and loss of key information after multiple down sampling, which are difficult to overcome by existing methods. We propose an improved YOLOv4 model for pedestrian detection and counting in UAV images, named YOLO-CC. We used the lightweight YOLOv4 for pedestrian detection, which replaces the backbone with CSPDarknet-34, and two feature layers are fused by FPN (Feature Pyramid Networks). We expanded the perception field using multiscale convolution based on the high-level feature map and generated the population density map by feature dimension reduction. By embedding the density map generation method into the network for end-to-end training, our model can effectively improve the accuracy of detection and counting and make feature extraction more focused on small targets. Our experiments demonstrate that YOLO-CC achieves 21.76 points AP50 higher than that of the original YOLOv4 on the VisDrone2021-counting data set while running faster than the original YOLOv4.
Effect Evaluation of Echocardiography on Right Ventricular Function in Patients after the Recovering from Coronavirus Disease 2019
Authors: Yang Jianqing , Liu Ping , Zhong Mang , Luo Ting , Lei Guolong , Liao Chunfeng
Published: July 2022

This research was aimed at exploring the changes in right ventricular function in patients after the recovery of coronavirus disease 2019 (COVID-19) under echocardiography and providing a reference for the rehabilitation and treatment of COVID-19 patients. Three echocardiographic follow-up examinations were performed on 40 recovered COVID-19 patients and 40 healthy people. Right ventricular function between patients after COVID-19 rehabilitation and healthy people was compared. The mean values of right ventricular fractional area change (RVFAC), tricuspid annular plane systolic excursion (TAPSE), right ventricular ejection fraction (RVEF), right myocardial performance index (RMPI), and tricuspid annular plane systolic speed (S’) were compared between patients after COVID-19 rehabilitation and healthy subjects. The technical parameters of two-dimensional speckle tracking were compared. The results showed that the differences in RVFAC, TAPSE, RVEF, and RMPI between COVID-19 patients and healthy controls were not significant during the three follow-up periods (

P
>
0.05

). At the first follow-up, the S’ was 12.78 cm/s in COVID-19 patients and 13.18 cm/s in healthy subjects. At the second follow-up, the S’ was 11.98 cm/s in COVID-19 patients and 12.77 cm/s in healthy subjects. At the third follow-up, the S’ was 12.79 cm/s in COVID-19 patients and 13.12 cm/s in healthy subjects. There was no significant difference between the two groups (

P
>
0.05

). In addition, there was no significant difference in right ventricular function between COVID-19 patients and healthy controls, and there was no significant difference in cardiovascular symptoms (

P
>
0.05

). In summary, COVID-19 had no substantial effect on right ventricular function and better recovery in patients.
[Retracted] Lung Cancer Prediction from Text Datasets Using Machine Learning
Authors: Anil Kumar C. , Harish S. , Ravi Prabha , SVN Murthy , Kumar B. P. Pradeep , Mohanavel V. , Alyami Nouf M. , Priya S. Shanmuga , Asfaw Amare Kebede
Published: July 2022

Lung cancer is the major cause of cancer‐related death in this generation, and it is expected to remain so for the foreseeable future. It is feasible to treat lung cancer if the symptoms of the disease are detected early. It is possible to construct a sustainable prototype model for the treatment of lung cancer using the current developments in computational intelligence without negatively impacting the environment. Because it will reduce the number of resources squandered as well as the amount of work necessary to complete manual tasks, it will save both time and money. To optimise the process of detection from the lung cancer dataset, a machine learning model based on support vector machines (SVMs) was used. Using an SVM classifier, lung cancer patients are classified based on their symptoms at the same time as the Python programming language is utilised to further the model implementation. The effectiveness of our SVM model was evaluated in terms of several different criteria. Several cancer datasets from the University of California, Irvine, library were utilised to evaluate the evaluated model. As a result of the favourable findings of this research, smart cities will be able to deliver better healthcare to their citizens. Patients with lung cancer can obtain real‐time treatment in a cost‐effective manner with the least amount of effort and latency from any location and at any time. The proposed model was compared with the existing SVM and SMOTE methods. The proposed method gets a 98.8% of accuracy rate when comparing the existing methods.
A New Method to Determine Cluster Number Without Clustering for Every K Based on Ratio of Variance to Range in K-Means
Authors: Ri Yong Ae , Kang Chol Ryong , Kim Kuk Hyon , Choe Yong Myong , Han Un Chol
Published: July 2022

In many clustering algorithms such as K-means and FCM, the cluster number K needs to be known beforehand. In this paper, we propose a new method to determine the cluster number without clustering for every K in K-means. We introduce a new statistics RVR (ratio of variance to range) and conduct Monte Carlo analysis of its characteristics. Based on the RVR, we propose an algorithm to determine the cluster number K and perform clustering utilizing it. We evaluate its effectiveness by performing a simulation test with different types of datasets; first, with real datasets, whose real number of clusters and components are known and second, with synthetic datasets. We observe a significant improvement in speed and quality of determining the cluster number and therefore clustering. Finally, we hope the proposed algorithm to be used efficiently and widely for clustering of multidimensional data.
Inferior ST-Segment Elevation Can Predict In-Hospital Mortality in Patients with Anterior Myocardial Infarction Complicated by Ventricular Septal Rupture
Authors: Fan Xiaojuan , Wang Shun , Liu Ping , Bai Ling
Published: July 2022

Background. Electrocardiogram (ECG) findings in patients with anterior wall myocardial infarction (MI) complicated by ventricular septal rupture (VSR) have rarely been studied. Methods. We conducted a single-center retrospective study among patients with anterior MI complicated by VSR over the past ten years. The presence of ST-segment elevation (STE) in inferior leads and new onset of complete right bundle branch block (RBBB) on ECG were studied for the prediction of in-hospital mortality. Results. Among the 85 patients enrolled, 45 (52.9%) were male, with a median age of 70 years. Sixty-five patients (76.5%) died in the hospital, and the remaining 20 patients (23.5%) had improved conditions and were discharged. Inferior STE was present in 35 patients (41.2%), including 32 patients in the death group and 3 patients in the survival group (

P
=
0.005

). New-onset RBBB was present in 25 patients (29.4%), with 22 patients in the death group and 3 patients in the survival group (

P
=
0.103

). Multivariate logistic regression showed that inferior STE was an independent predictor of in-hospital death in patients with anterior MI and VSR (OR: 14.488; 95% CI: 1.708-122.887;

P
=
0.014

). Conclusions. In patients with anterior MI complicated by VSR, inferior STE was associated with a higher risk of in-hospital mortality.
Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System
Authors: Zhang Yuan
Published: July 2022

Improving the quality of tennis teaching and learning is an important part of the modernization of education in China. The limitations of traditional tennis teaching quality evaluation methods have made them controversial, and it is crucial to improve the scientific, rational, and timely evaluation of tenn is teaching quality. Therefore, it is necessary to establish a scientific and rational quality evaluation model for tennis education to evaluate the quality of tennis education. Based on the principle of constructing a perfect tennis teaching quality evaluation system, this paper analyzes the advantages and disadvantages of the previous tennis teaching quality evaluation methods and summarizes the problems existing in the current tennis teaching quality evaluation system in a university. On this basis, to break the limitations of the existing tennis teaching quality evaluation system in a university, a tennis teaching quality evaluation model based on genetic algorithm (GA) and back-propagation (BP) neural network is proposed and a more scientific reasonable tennis teaching quality evaluation system. The evaluation results of BP neural network optimization method based on adaptive mutation genetic algorithm are very satisfactory.
The Effect of Length and Content of Fiber on Glass Fiber and Basalt Fiber‐Reinforced Granite Residual Soil
Authors: Chen Weijie , Zhao Jin , Fan Litao , Li Jia , Yuan Bingxiang , Li Hongzhong , Jiang Guoping , Li Hanbo , Chen Tianying
Published: July 2022

Fiber‐reinforced soil boasts fewer cracks, higher energy absorption, and higher residual strength. With the well‐established concept of carbon neutralization, it is necessary to reduce the dependence on high carbon‐emitting reinforcement materials such as cement and concrete. The need for resource recycling has led to the development of reusing construction waste as the raw material for slope and embankment reinforcement. The purpose of this study is to analyze the reinforcement performance and environmental feasibility of glass and basalt fiber on granite residual soil with the content of 3%, 4%, and 5% and the length of 6 mm, 9 mm, and 12 mm. The reinforced samples were subjected to static impact load tests and SEM analysis to study its mechanical properties, microcharacteristics, and structure before and after reinforcement. Results show that the incorporation of 3% glass fibers of 6 mm has the best reinforcement effect on GRS, while the incorporation of 4% basalt fibers of 6 mm also has a good reinforcement ability. Glass fiber performs better than basalt fiber under the optimal content and length. SEM results indicate that glass fibers bind the soil particles more closely, thereby increasing their friction and leading to higher compressive strength. When the length and content of fiber exceed a certain range, the fibers are prone to cross and knot and fail to fill between soil particles, so the fiber and soil particles are separated, which lowers the strength of the soil. It is concluded that both glass fiber and basalt fiber can be well used for reinforcing GRS for higher bearing capacity and fewer cracks at the given proportion and length. Fiber length and content were considered when reinforcing GRS with different fibers in this study.
The Ecological Environment Art Design of Urban Wetland Park: Taking the Landscape Design of Muye Lake Park in Xinxiang City as an Example
Authors: Zhang Jing
Published: July 2022

As an important carrier of human production and life, the quality of the urban ecological environment has the most direct impact on the living conditions of the urban population. The prominence of urban problems has undoubtedly increased people’s desire and pursuit of natural ecology. As a complex with multiple functions and benefits, urban wetlands play a pivotal role in improving the ecological environment of the city. Therefore, this paper starts from the perspective of urban wetland parks and conducts in-depth research on the landscape design of this type of park, which is conducive to the improvement of park landscapes. From the perspective of expert cognition, the evaluation index system of landscape aesthetics of the wetland park around the city is established, the weight of each index is calculated, and then the AHP attribute hierarchy model method is used to construct the evaluation model. Combined with the expert scores of various indicators, we quantitatively evaluate the landscape aesthetics of three representative surrounding wetland parks and draw conclusions. Using the analytic hierarchy process comprehensive index method to calculate the landscape evaluation index layer data, the index score of wetland ecosystem is 84.51, the index layer of wetland landscape quality is 79.17, and the score of wetland aesthetic index layer is 76.97. Based on the analysis and evaluation results, it is concluded that the comprehensive evaluation score of Muye Lake Wetland Park in Xinxiang City is 81.62, which is excellent in the evaluation of water network urban wetland park landscape. The quality of wetland landscape can give full play to the ecological value of wetland and reflect the beauty of wetland.
Design of IoT Gateway for Crop Growth Environmental Monitoring Based on Edge-Computing Technology
Authors: Dong Mo , Yu Haiye , Sun Zhipeng , Wu Mingzhi , Zhang Lei , Sui Yuanyuan , Yu Guanghao , Han Ting , Zhao Ruohan
Published: July 2022

With the extensive use of the Internet of Things (IoT) in agriculture, the number of terminals are also grow rapidly. This will increase the network traffic and computing pressure of the centralized server. The centralized data processing mode used in traditional agriculture cannot meet the needs of the Internet of everything era. This paper designs a gateway based on edge-computing technology for monitoring crop growth environment. It uses virtualized container technology to package long-range wide-area network (LoRaWAN) server, pest identification, and environmental information data fusion functions into images. It forms integrated operation mode of multiple function in agriculture. The gateway applies message-oriented middleware to standardize and customize the data transmission among functional modules, clouds, and edges. Through simulation and field test, the designed gateway can achieve the functions of each module at the same time, the resource utilization, and the transmission quality are stable. The edge-computing gateway has the advantages of low cost, low latency, and low power consumption which has practical significance.
Reversible Data Hiding of Digital Image Based on Pixel Combination Algorithm
Authors: Zhang Jingmin
Published: July 2022

In order to improve the security effect of image information, this paper studies the reversible information hiding of the digital images combined with the pixel combination algorithm and proposes an improved simulated annealing algorithm using the incremental calculation method of statistical functions. Moreover, according to the gray gradient information contained in the image, this paper proposes an automatic threshold determination algorithm suitable for the unimodal gray distribution images and uses this algorithm to complete the threshold determination and binary segmentation of all images. In addition, this paper optimizes the model by transforming the isolated pores inside the model and removing the isolated matrix area. Through comparative experiments, it can be seen that the reversible information hiding method for digital images based on the pixel combination algorithm proposed in this paper has a good image information confidentiality effect.
A High-Security Privacy Image Encryption Algorithm Based on Chaos and Double Encryption Strategy
Authors: Cheng Zhiqiang , Wang Wencheng , Dai Yuezhang , Li Lun
Published: July 2022

Faces are widely used in information recognition and other fields. Due to the openness of the Internet, ensuring that face information is not stolen by criminals is a hot issue. The traditional encryption method only encrypts the whole area of the image and ignores some features of the face. This paper proposes a double-encrypted face image encryption algorithm. The contour features of the face are extracted, followed by two rounds of encryption. The first round of encryption algorithm encrypts the identified face image, and the second round of encryption algorithm encrypts the entire image. The encryption algorithm used is scrambling and diffusion at the same time, and the keystream of the cryptosystem is generated by 2D SF-SIMM. The design structure of this cryptosystem increases security, and the attacker needs to crack two rounds of the algorithm to get the original face image.
Anesthesia Effect of Remifentanil Combined with Propofol in Laparoscopic Cholecystectomy and Its Impact on Postoperative Cognitive Recovery
Authors: Jiang Wei , Wang Jun , Ni Xin-xin , Huang Zu-chao
Published: July 2022

Objective. To investigate the anesthesia effect of remifentanil combined with propofol for laparoscopic cholecystectomy and its impact on postoperative cognitive recovery. Methods. A total of 120 patients who underwent laparoscopic cholecystectomy in our hospital from February 2019 to June 2021 were recruited and assigned into either control group or experimental group at a ratio of 1 : 1 via the random number table method. The patients in the control group were anesthetized with fentanyl combined with propofol, and the patients in the experimental group were anesthetized with remifentanil combined with propofol. The clinical basic indicators (extubation time, recovery time, breathing recovery time, and orientation recovery time), and observer’s assessment of awareness/sedation (OAA/S) scores and complications were compared between the two groups. Results. There was no significant difference in extubation time between the two groups (

P
>
0.05

). The postoperative wake-up time, respiratory recovery time, and orientation recovery time of the experimental group were significantly better than those of the control group (

P
 
<
0.05

). The OAA/S scores of the patients in the experimental group were significantly higher than those in the control group immediately after surgery, 1 h after surgery, and 3 h after surgery (

P
 
<
0.05

). There was no significant difference in the OAA/S scores between the two groups on the 1st day after operation (

P
>
0.05

). The incidence of complications in the experimental group was significantly lower than that in the control group (

P
 
<
0.05

). Conclusion. Remifentanil + propofol for laparoscopic cholecystectomy patients has a significant anesthesia effect. This strategy effectively shortens the extubation, awakening, respiratory recovery, orientation recovery time of patients, and OAA/S score, suggest a minor impact on the postoperative cognitive function and state of consciousness. It has a high safety profile and thus is worthy of clinical application.