bluuebunny/crossref_metadata_2025 huggingface dataset:
Lowest Concentration of Chlorine Trifluoride Gas for Cleaning Silicon Carbide Chemical Vapor Deposition Reactor
Authors: Takizawa Yuika , Hayashi Masaya , Habuka Hitoshi , Ishiguro Akio , Ishii Shigeaki , Watanabe Toru , Moriyama Yoshikazu , Daigo Yoshiaki , Mizushima Ichiro , Takahashi Yoshinao
Published: August 2022

A dilute chlorine trifluoride gas at less than 1% was possible for the cleaning of a silicon carbide chemical vapor deposition (CVD) reactor. For 20 min, the chlorine trifluoride gas at the concentrations of 0.5%–1% in ambient nitrogen at atmospheric pressure could detach the 30 μm-thick particle-type polycrystalline silicon carbide CVD film from the susceptor which had a coating film made of a purified pyrolytic carbon (PPyC). While the PPyC film had some damage due to the shallow fluorine diffusion, it could be recovered without any pit formation by annealing in ambient nitrogen containing a trace amount of oxygen at atmospheric pressure for 10 min at the temperature of 845 °C.
Facilitation of tactile processing during action observation of goal-directed reach and grasp movements
Authors: Manzone Damian M. , Tremblay Luc
Published: August 2022

Previous work has highlighted the relationship between touch processing and movement speed during action, but the current study sought to understand this relationship during action observation of reaching and grasping movements. Here, we provide seminal evidence that tactile perceptual thresholds at the thumb are reduced compared with rest when observing the slowest movement speeds. Thus, tactile processing was facilitated at a task-relevant location during the observation of movements with speeds associated with tactile exploration.
Protective Effects of Platycodin D3 on Airway Remodeling and Inflammation via Modulating MAPK/NF-κB Signaling Pathway in Asthma Mice
Authors: Peng Feng , Xiao Fengchun , Lin Long
Published: August 2022

Background. Asthma is a disease with airway hyperresponsive and airway inflammation. Platycodin D is a triterpenoid saponin extracted from Platycodon grandiflorus root, which has various pharmacological activities. The study mainly explored the effects of platycodin D3 (PD3) in airway remodeling and inflammation of asthma. Methods. The ovalbumin (OVA)-induced asthma mice were given PD3 (20 mg/kg, 40 mg/kg, and 80 mg/kg) in different groups. The asthma mice administrated with dexamethasone (DXM) were enrolled as the positive control group, and the normal control mice and asthma model mice separately received the same volume of saline. Mouse airway lung dynamic compliance (Cdyn) and total airway resistance (RL) were measured by the EMKA animal lung function analysis system. The inflammation factor levels were estimated by ELISA. Histopathological changes were tested by HE and PAS staining. The protein and phosphorylation levels of NF-κBp65, p38, ERK1/2, and JNK1/2 were detected by Western blot. Results. In asthmatic mice, PD3 enhanced the airway Cdyn and decreased RL to improve the airway hyperreactivity and alleviated the pathological injury of lung tissues. In addition, PD3 could reduce the infiltration of inflammatory cells in BALF and suppress the levels of eotaxin, IL-4, IL-5, IL-13, IFN-γ, and IgE. Furthermore, PD3 treatment inhibited the phosphorylation of NF-κBp65, p38, ERK1/2, and JNK1/2 proteins in asthma mice. Conclusion. PD3 treatment alleviated the airway remodeling and inflammation in asthmatic mice, which might be related to downregulating the phosphorylated proteins in the MAPK/NF-κB signaling pathway.
Photocatalyst and Decoration Design in Indoor Public Spaces Based on the Photocatalytic Function of Nanometer Titanium Dioxide
Authors: Yang Ling
Published: August 2022

The process of decorating interior spaces often produces substances that are harmful to the human body, which seriously spoils the decorating experience. Photocatalyst is the oxidant of nanometer titanium dioxide. It cannot be oxidized by itself. This article aims to discuss photocatalysts and interior and exterior design. When there is light in the room, the photocatalyst will fully integrate with the light, which has a strong catalytic and degrading effect. This can degrade indoor formaldehyde and other pollutants while also having a sterilization effect. The principle of the photocatalyst is to absorb ultraviolet rays in light. When impurities appear in the air, they are destroyed by the photocatalyst, and the impurities are converted into substances that are harmless to the human body. We tested the formaldehyde and SO2 content in the room after the photocatalysis of titanium dioxide, and analyzed the photocatalyst and decoration design in indoor public spaces. The research results showed that the effect of the photocatalyst is about 20% better than the traditional explanation. Functionally, it can deodorize toilets, garbage, etc., and the effect is very obvious.
Extraction and Analysis of Foot Bone Shape Features Based on Deep Learning
Authors: Ma Yue , Zhi Zhuangzhi
Published: August 2022

With the rapid development of artificial intelligence, more and more researchers and research institutions begin to pay attention to the bone feature recognition field. Human bone movement is very complex, and human bone shape recognition technology can be widely used in medical treatment, sports, and other fields. At present, there are mainly two kinds of methods for extracting the shape features of human foot bone based on optical image acquisition technology and sensor information perception technology. However, due to the interference factors such as target posture change, camera shake, and individual behavior differences, it is still a very challenging task to design a robust algorithm for extraction and analysis of foot bone shape features. In recent years, convolutional neural network- (CNN-) based foot contour feature recognition methods emerge one after another and have made breakthrough progress. How to use and how to fully explore the potential relationship of various characteristics contained in the foot bone data and how to enhance the robustness of view changes and other aspects need to be further studied. In this context, this paper proposed an improved CNN model, which not only has the capability of deep feature extraction of the CNN model but also can obtain the optimal model parameters with the combination of particle swarm optimization algorithm. The effectiveness of the proposed method in the extraction and analysis of foot bone shape features is verified in the simulation experiment.
Nursing Countermeasures of Continuous Renal Replacement Treatment in End-Stage Renal Disease with Refractory Hypotension in the Context of Smart Health
Authors: Ma Liya , Guo Jianli , Sun Hongwei , Li Nan , Lv MeiXuan , Shang Bing
Published: August 2022

This work is aimed at exploring the nursing strategies and effects of continuous renal replacement therapy (CRRT) for end-stage renal disease (ESRD) with refractory hypotension under the background of smart health. 40 ESRD patients with refractory hypotension who received CRRT treatment were enrolled as the research objects and were randomly rolled into the intervention group and the control group, with 20 cases in each group. Patients in the control group received routine nursing, and those in the intervention group received individualized nursing. The incidence of hypotension, dry body weight, serous cavity effusion, renal function indicators (blood urea nitrogen (BUN) and creatinine (Cre)), and patient satisfaction were compared between the two groups. The results showed that the probability of hypotension in the intervention group was 9.38%, which was lower than that in the control group (34.38%). The probability of early termination of dialysis in the intervention group was 0%, which was lower than that in the control group (18.75%), and the difference was statistically significant (

P
<
0.05

). The decreases of BUN and Cre in the intervention group were significantly greater than those in the control group, and the differences were statistically significant (

P
<
0.05

). The proportion of water growth less than 10% during dialysis in the intervention group was 98.44%, which was greater than that in the control group (93.45%), and the difference was statistically significant (

P
<
0.05

). The ultrafiltration volume after dialysis in the intervention group was

2850
±
400

 mL, which was greater than that in the control group

2350
±
350

 mL. After intervention, the proportion of patients with pleural effusion in the intervention group was 10% less than that in the control group (20%), and the difference was statistically significant (

P
<
0.05

). The satisfaction rate of the intervention group was 97.66%, which was higher than that of the control group (65.63%). In conclusion, individualized nursing was more helpful to the recovery of ESRD patients with refractory hypotension treated with CRRT than routine nursing.
The Impact of Tax Reduction and Fee Reduction Based on Big Data Algorithm on the High-Quality Development of the Real Economy under the Action of Coupling Effect or Substitution Effect
Authors: Zhang Haiyan
Published: August 2022

The basic idea of the mass of medical growth is to adhere to local market price thinking with a Chinese touch and follow the development policy of “quality first, efficiency first.” It insists on properly handling a series of important relationships betwixt socialism and market economy, the first to drive the rich later, the government and the market, equality and efficiency, short-term growth and long-term development, China and the international economy, ecology and growth of the region. Under the guidance of the qualitative thinking theory, it combines the strategic goals of China’s economic qualitative development and actively draws on the research results of other countries. It uses big data algorithms to focus on the impact of qualitative development on tax and income reduction in the real economy. It conducts research experiments on the impact of tax reduction and fee reduction based on big data algorithms on the top-notch growth of the real economy. Its experimental data show that: in 2018, the share of primary, tertiary, and primary sector in China’s dimensional economy top-notch growth coordination index was 7.2%, 40.7%, and 52.2%, respectively. Its contribution rate to economic growth was 4.2%, 36.1%, and 59.7%, respectively. From these data, it can be concluded that the top-notch growth of the real economy is getting better and better under the influence of tax reduction and fee reduction by big data algorithms.
Discrete Hyperparameter Optimization Model Based on Skewed Distribution
Authors: Li Yuqi
Published: August 2022

As for the machine learning algorithm, one of the main factors restricting its further large-scale application is the value of hyperparameter. Therefore, researchers have done a lot of original numerical optimization algorithms to ensure the validity of hyperparameter selection. Based on previous studies, this study innovatively puts forward a model generated using skewed distribution (gamma distribution) as hyperparameter fitting and combines the Bayesian estimation method and Gauss hypergeometric function to propose a mathematically optimal solution for discrete hyperparameter selection. The results show that under strict mathematical conditions, the value of discrete hyperparameters can be given a reasonable expected value. This heuristic parameter adjustment method based on prior conditions can improve the accuracy of some traditional models in experiments and then improve the application value of models. At the same time, through the empirical study of relevant datasets, the effectiveness of the parameter adjustment strategy proposed in this study is further proved.
Fusion Development of Public Art and Urban Environment Design Based on Wireless Sensor Data Fusion
Authors: Xiao Zhen
Published: August 2022

Driven by the market economy, the city’s infrastructure has been continuously improved, and the living standards of the people have been continuously improved. The need for the integrated development of public art and urban environmental design has become one of the important tasks in the entire urban construction work. However, in the integrated development, public art and urban environment, as two subjects, have different development histories and complex influencing factors. Combining this information for effective analysis is a computationally and processing intensive task. This paper uses the data fusion method in wireless sensors to study the fusion development of public art and urban environment design and understand the historical development and various characteristics of public art and urban environment design. And we apply it in fusion analysis experiments, use wireless sensors for information collection, use data fusion methods for analysis, and compare with traditional methods. The experimental results show that the wireless sensor data fusion method is used in the research of the fusion development of public art and urban environment design. The average value of associated fusion degree reaches 84.08% and the average value of balanced fusion degree reaches 80.60%, which has certain effectiveness. Popularizing it in the current stage of urban construction can highlight the city’s personality and style and enhance the city’s cultural taste and modern cultural atmosphere.
A Web‐Based Pharmacological Approach to the Mechanism of Action of Rhizoma Phragmitis and Rhizoma Curcumae in the Treatment of Chronic Atrophic Gastritis
Authors: Zhi Yong , Xie Shanshan , Shao Changming , Zeng Binfang
Published: August 2022

Objective. To analyze and test the effect of Rhizoma phragmitis and Rhizoma curcumae on the network pharmacology of MAPK (mitogen‐activated protein kinase) and TNF (tumor necrosis factor) signaling channels and inflammatory factor target gene regulation in successful modeling of chronic atrophic gastritis rats. Methods. Rats with chronic atrophic gastritis that were modeled successfully were randomly divided into control and study groups and were treated with conventional western medicine or Rhizoma phragmitis and Rhizoma curcumae, respectively. The pharmacological mechanism of action and efficacy were evaluated. Results. The treatment efficiency was 76.32% and 97.37% in the control and study group, respectively. After treatment, the serum tumor necrosis factor‐α (TNF‐α) and serum malondialdehyde (MDA) levels in the study group were lower than those in the control group and the serum epidermal growth factor (EGF) and superoxide dismutase (SOD) levels in the study group were higher than those in the control group (P < 0.05); the pain behavioral scores in the study group were lower than those in the control group, and the free acid quantity and total acid quantity in the study group were higher than those in the control group (P < 0.05); the serum MTL index in the study group was higher than that in the control group, and the serum gastrin (GAS) and pepsinogen I (PG I) indices in the study group were lower than those in the control group (P < 0.05); the number of 24‐hour reflux in the study group was less than that in the control group (P < 0.05), and the longest reflux time in the study group was lower than that in the control group (P < 0.05). Conclusion. Based on the network pharmacological results, Rhizoma phragmitis and Rhizoma curcumae will modulate MAPK, TNF signaling circuits, and inflammatory factor target genes in the chronic atrophic gastritis rat model. This treatment protocol is efficient and beneficial to enhance the gastric function of the chronic atrophic gastritis rat model, while it can alleviate the inflammatory response and significantly reduce the number and duration of reflux, which is a safe and reliable treatment modality.
Effects of Apatinib Mesylate Monotherapy on the Incidence of Adverse Reactions and Immune Function in Patients with Breast Cancer after Radical Mastectomy
Authors: Lin Sen , Zang Meichun
Published: August 2022

Objective. To assess the effects of monotherapy with apatinib mesylate on the incidence of adverse events and immune function in breast cancer patients after a radical mastectomy. Methods. Between December 2018 and August 2020, 90 patients with breast cancer scheduled for a radical mastectomy in People’s Liberation Army Navy 971 Hospital were randomly recruited and assigned at a ratio of 1 : 1 to receive either conventional treatment (conventional group) or apatinib mesylate after radical mastectomy (study group). The primary endpoint was disease control rate (DCR), and the secondary endpoints were adverse events and the immune function of the patients. Results. Monotherapy with apatinib mesylate was associated with a higher DCR (86.67%) versus conventional postoperative treatment (42.23%). All patients in the study group had documented adverse events, including 2 (4.45%) cases of headache, 3 (6.67%) cases of dizziness, 9 (20.00%) cases of hypertension, 6 (13.34%) cases of hand-foot syndrome, 3 (6.67%) cases of thrombocytopenia, 1 (2.23%) case of tinnitus, 7 (15.56%) cases of fatigue, 2 (4.45%) cases of anemia, 2 (4.45%) cases of oral pain, and 10 (22.23%) cases of leukopenia. There were 23 cases of intermittent discontinuation due to adverse events during treatment, 15 cases of dose reduction, and 3 cases of discontinuation due to adverse events. The difference in preoperative and postoperative T-cell subsets and natural killer (NK) cells between the two groups did not come up to the statistical standard (

P
>
0.05

). Monotherapy with apatinib mesylate resulted in significantly lower levels of CD4+, CD4+/CD8+, and NK cells and higher CD8+ levels versus conventional treatment at 1 week and 4 weeks postoperatively (

P
<
0.05

). Conclusion. Apatinib mesylate monotherapy after radical mastectomy yields a high DCR, a lower incidence of adverse events, and improved immune recovery. Clinical trials are, however, required prior to clinical promotion.
A Signature of Genes Featuring FGF11 Revealed Aberrant Fibroblast Activation and Immune Infiltration Properties in Keloid Tissue
Authors: Yuan Bo , Miao Linlin , Mei Disen , Li Lingzhi , Hu Zhu
Published: August 2022

Keloid is a fibroproliferative disorder in the skin, which manifested with extensive deposition of collagen and extracellular matrix. Its etiology remains a mystery and its recurrence rate remains high despite combinative treatment regimens. Current hypotheses of its pathogenesis centered on the role of inflammatory processes as well as immune infiltration in the microenvironment. However, there are a lot of discrepancies when it comes to the verification of certain well-recognized pathways involved in the dysfunctional fibroblast. Further exploration and characterization are required to reveal the driving force and even leading genes responsible for keloid formation. In this study, we provided supportive evidence of the immunologic nature of keloids distinct from normal fibroblasts and physiological scars by incorporating multiple available expressional profiles in the Gene Expression Omnibus (GEO). Through differential analyses and functional analyses, we identified a set of genes that successfully captures the dissimilarities between keloid lesions and nonlesions. They were differentially regulated in keloid samples and had opposite behavior in exposure to hydrocortisone. A key signature of six genes featuring FGF11 not only was highly correlated with significantly dysregulated fibroblast activation but also reflected various levels of immune cell infiltration. FGF11, in particular, revealed the heterogenous immunologic nature of keloid lesions. This study further supported that aberrant fibroblast was one of the main contributing factors and shed some light on investigating immune properties in future studies.
Evaluation of Alternative Transport Media for RT-qPCR-Based SARS-CoV-2 Testing
Authors: Baek Young Hyun , Park Min Young , Lim Ho Jae , Jung Hye Soo , Yang Jae-Hyun , Sohn Yong-Hak , Lee Sun-Hwa , Park Jung Eun , Yang Yong-Jin
Published: August 2022

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), is still rapidly spreading as of March 2022. An accurate and rapid molecular diagnosis is essential to determine the exact number of confirmed cases. Currently, the viral transport medium (VTM) required for testing is in short supply due to a sharp increase in the laboratory tests performed, and alternative VTMs are needed to alleviate the shortage. Guanidine thiocyanate-based media reportedly inactivate SARS-CoV-2 and are compatible with quantitative reverse transcription polymerase chain reaction (RT-qPCR) assays, but the compatibility and the viral detection capacity have not been fully validated. To evaluate the guanidine thiocyanate-based Gene Transport Medium (GeneTM) as an alternative VTM, we prepared 39 SARS-CoV-2-positive and 7 SARS-CoV-2-negative samples in GeneTM, eNAT™, and phosphate-buffered saline (PBS). The cycle threshold (Ct) values of three SARS-CoV-2 targets (the S, RdRP, and N genes) were analyzed using RT-qPCR testing. The comparison of Ct values from the positive samples showed a high correlation (R2= 0.95–0.96) between GeneTM and eNAT™, indicating a comparable viral detection capacity. The delta Ct values of the SARS-CoV-2 genes in each transport medium were maintained for 14 days at cold (4°C) or room (25°C) temperatures, suggesting viral samples were stably preserved in the transport media for 14 days. Together, GeneTM is a potential alternative VTM with comparable RT-qPCR performance and stability to those of standard media.
An Analysis of Predictive Sample-to-Cutoff Index for HIV Infection Confirmation Using Elecsys® HIV Combi PT Assay
Authors: Xia Xiaohong , Zhang Xiang , Zhou Jun , Zhang Mengying
Published: August 2022

Background. Early and rapid diagnosis is crucial in HIV preventing and treatment. However, the false-positive rate (FPR) by 4-th generation detection assays was high in low-HIV-prevalence regions. Objectives. To analyze the relation between sample-to-cutoff index (COI) and HIV confirmatory results, and to explore a new COI threshold in our own laboratory to predict HIV infection. Methods. We retrospectively analyzed primarily reactive results by Elecsys® HIV combi PT assays and their confirmatory results by western blot (WB) at Nanjing Center for Disease Control and Prevention (CDC). The mean COI values of true positive (TP), false positive (FP), and indeterminate groups were compared, and receiver operating characteristic curve (ROC) analysis was performed to determine the optimal COI value for predicting HIV infection. Results. Totally 150,980 HIV serological results were reviewed, and 305 (0.2%) were primarily reactive. There are 82 (26.89%) true positives, 210 (71.92%) false positives, and 11 indeterminate samples confirmed by WB tests, and another 2 patients rejected WB tests. Mean COI values of TP (643.5) were greatly higher than that of FP (3.174) (

P
<
0.0001

), but there is no significant difference between FP and indeterminate groups. Combining the requirement of HIV diagnosis and ROC analysis, 9.87 was established as the optimal threshold to predict the infection, with 100% sensitivity and 99.99% specificity. Conclusions. By adjusting the COI threshold, the FP samples can be reduced and the efficiency of screening assays can be increased, which can save much additional reagent and staff costs and much time for delivery of HIV test results.
Green City Landscape Design Based on GIS System
Authors: Liang Yanlan , Wang Huijing
Published: August 2022

In order to solve the problem of green urban garden landscape design, a green urban garden landscape design method based on GIS system is proposed. This method introduces component GIS and compares three AO-based GIS secondary development modes. Based on the developed solution, comprehensively considering the index evaluation of urban landscaping and its influencing factors, the functional structure of the GIS-based landscaping management information system is designed, and the system requirements are analyzed in detail. It solves the problem that the cost of traditional green urban garden landscape design is too high, and the experiment proves that improving the landscape environment of urban public space has practical value for the research of urban landscape system. Combined with practical application, it is found that the intervention of rainwater landscape can effectively improve the aesthetics and artistry of urban rainwater public facilities. At the same time, the development of GIS and its related technologies (such as database technology and network technology) has also promoted the construction and development of urban landscaping system, which has a great effect on the beautification of the environment, which verifies the validity of the experiment.
Wearable Sensor and Its Application in Urban Landscape Design
Authors: Yao Di
Published: August 2022

In order to meet the needs of people for the environment, physical, and psychological needs and to improve the characteristics of local areas, this paper proposes an urban environment measurement method based on wearable sensors. This method mainly relies on the previous questionnaire and tests the wearable sensor physiological data, subjective feelings, scoring tables, interviews, and other experimental methods in the psychological experimental environment. The recognition rate without adding association features was 93.3%, while the recognition rate of adding association features to individual test set verification reached 94.1%, an increase of about 1%. In this paper, naive Bayes and associated feature classification are used to effectively solve the influence of personal subjective factors and make up for the error of measurement data. The wearable sensor can achieve better results in the application of urban environmental measurement and can also be better applied in urban environmental landscape design, providing more effective data for urban landscape design.
Application of Grey Relational Entropy Weight Method in DRG Performance Evaluation of Inpatient Departments
Authors: Ma Xiaoju , Wang Yuan
Published: August 2022

Objective. The objective is to analyze the performance indicators of the hospital’s orthopedics department based on the DRG tool, evaluate the medical service ability of the orthopedic department, and provide a theoretical basis for the hospital to build a performance management evaluation system. Methods. The Shanghai version of DRG tool was used for grouping, and DRG indicators (RW, CM, CMI, number of groups), surgical grades, and disease structure were used for assessment. Results. 3,310 people were discharged from the department of orthopedics, the total number of CM was 4,196.99, the CMI value was 1.27, and the number of DRGs was 161. Conclusion. The overall condition of the orthopedics department is good, mainly for the treatment of difficult and severe cases. The results reflected by the DRG indicators are scientific and objective. The remission group is lower than normal group (P > 0.05). The accuracy, sensitivity, specificity, negative predictive value, and positive predictive value of EOS were 57.6%, 29.7%, 83.8%, 55.9%, and 63.3%, respectively.
A Dynamic Density Peak Clustering Algorithm Based on K-Nearest Neighbor
Authors: Du Hui , Zhai Qiaofeng , Wang Zhihe , Li Yongbiao , Zhang Manjie
Published: August 2022

The clustering results of the density peak clustering algorithm (DPC) are greatly affected by the parameter

d

c

, and the clustering center needs to be selected manually. To solve these problems, this paper proposes a low parameter sensitivity dynamic density peak clustering algorithm based on K-Nearest Neighbor (DDPC), and the clustering label is allocated adaptively by analyzing the distribution of K-Nearest Neighbors around each data. It reduces the parameter sensitivity and eliminates selecting the clustering centers manually from the decision graph. Through the experimental analysis and comparison of the artificial dataset and UCI dataset, the results show that the comprehensive clustering effect of DDPC is better than DPC, DBSCAN, DBC, and other algorithms.
An Energy Efficient and Reliable Multipath Transmission Strategy for Mobile Wireless Sensor Networks
Authors: Sun Changlong , Wang Zhengzong , Lu Dongwan , Cao Li , Yue Yinggao , Ding Haihua , Hu Zhongyi
Published: August 2022

Multipath data transmission is a key problem that needs to be solved urgently in wireless sensor networks. In this paper, sensor node failure, link failure, energy exhaustion, and external interference affect the stability and reliability of network data transmission. A multipath transmission strategy for wireless sensor networks based on improved shuffled frog leaping algorithm is proposed. A mathematical model of multipath transmission in wireless sensor networks is established. In the shuffled frog leaping algorithm, combined with the transition probability in the particle swarm optimization algorithm, random individuals in the subgroup are introduced to assist the search when updating the frog individual position, which improves the algorithm's ability to jump out of the local optimum and improves the quality of the optimization algorithm solution. The model is applied to multipath transmission in wireless sensor networks. Then, the shuffled frog leaping algorithm is used to update, divide, and reorganize the sensor nodes to select the optimal node to establish the optimal transmission path and improve the stability and reliability of the network. Simulation experiments show that the algorithm in this paper can ensure the reliability of data transmission, reduce the network packet loss rate and network energy consumption, and reduce the average delay of data transmission.
BBARHS: Blockchain-Based Anonymous Ride-Hailing Scheme for Autonomous Taxi Network
Authors: Wang Kun , Liu Mingzhe , Wang Jianping , Wu Min , Zhao Feixiang
Published: August 2022

In the past few years, ride-hailing platforms such as Uber, Waymo, and Baidu have built their own autonomous taxi system. Unlike public transit services, ride-hailing platforms raise severe privacy issues. To provide excellent autonomous taxi service, some significant security and privacy problems must be addressed. In this study, we present the security and privacy threats and first proposed blockchain-based anonymous ride-hailing scheme (BBARHS) for autonomous taxi network. We give the formal system model and security model of BBARHS. Then, we outline the concrete BBARHS scheme by making use of Monero and some efficient crypto tools. Through security analysis and performance analysis, the designed scheme is provably secure and efficient. The analysis results also show the designed BBARHS scheme is practical for autonomous taxi network.
Effective Evaluation of Medical Images Using Artificial Intelligence Techniques
Authors: Kannan S. , Premalatha G. , Jamuna Rani M. , Jayakumar D. , Senthil P. , Palanivelrajan S. , Devi S. , Sahile Kibebe
Published: August 2022

This work is implemented for the management of patients with epilepsy, and methods based on electroencephalography (EEG) analysis have been proposed for the timely prediction of its occurrence. The proposed system is used for crisis detection and prediction system; it is useful for both patients and medical staff to know their status easily and more accurately. In the treatment of Parkinson’s disease, the affected patients with Parkinson’s disease can assess the prognostic risk factors, and the symptoms are evaluated to predict rapid progression in the early stages after diagnosis. The presented seizure prediction system introduces deep learning algorithms into EEG score analysis. This proposed work long short-term memory (LSTM) network model is mainly implemented for the identification and classification of qualitative patterns in the EEG of patients. While compared with other techniques like deep learning models such as convolutional neural networks (CNNs) and traditional machine learning algorithms, the proposed LSTM model plays a significant role in predicting impending crises over 4 different qualifying intervals from 10 minutes to 1.5 hours with very few wrong predictions.
Analysis of Fuel Tank Collision Structure Based on Defense Point Method
Authors: Liu Wenguang , Liu Haijiang , Jiang Lin , Bi Shanshan
Published: August 2022

Aiming at the impact process of a fuel tank, which is a transient energy conversion process, the material absorbs energy through deformation to analyze the mechanical properties of the fuel tank during the impact process. The defense node method is adopted to simulate the dynamic response of the fuel tank during impact. The results show that it can accurately evaluate the safety of the container.
A Low-Profile Broadband Circularly Polarized Metasurface Antenna Aperture Coupled by Shorted Annular-Ring Slot
Authors: Liu Shuangbing , Yang Lixia , Chen Qian , Wu Xianliang
Published: August 2022

A low-profile (LP) metasurface antenna is proposed for broadband circularly polarized (CP) operations. The metasurface radiator, formed by a 5 × 5 array of square patches, has a microstrip line fed at its bottom through a shorted annular-ring slot centered on the ground plane. First, the characteristic mode analysis (CMA) methodology is employed to examine the intrinsic modes of the metasurface. Subsequently, a pair of mutually orthogonal modes is selected and excited by the feeding structure with a 90° phase difference to produce CP radiation. For the purpose of verification, a prototype antenna is developed, and the obtained data reveal that the antenna exhibits an impedance bandwidth of 43.9% ranging from 4.8 to 7.5 GHz (S11<−10 dB). The 3-dB axial ratio bandwidth is 22.2% in the range of 5.6–7 GHz, among which a satisfactory left-handed CP radiation is achieved, and the maximum gain in the broadside direction reaches 9.3 dBic at 6.9 GHz.
Application of Internet of Things Combined with Wireless Network Technology in Volleyball Teaching and Training
Authors: Zhang Tao , Jiao Chenying , Sun Hui , Liang Xiaolong
Published: August 2022

Motion information collection technology is a means for measuring, tracking, and recording the movement traces of individuals in space. This method can complete the data collection of volleyball players and the ball trajectory and realize quantification and statistical analysis of the data to present a virtual model of the player’s movement trajectory. It is inseparable from the acquisition of information to complete the information collection. Therefore, this work uses the radio frequency identification (RFID) technology in the Internet of Things technology to build an information collection system and apply it to volleyball sports. The existing positioning system based on RFID has problems such as significant positioning errors and high system costs due to the arrangement of a large number of readers. This paper first introduces the theoretical knowledge of the RFID system, wireless network positioning technology, and RFID system positioning method in the Internet of Things. Besides, the theoretical framework of the volleyball movement information acquisition system is presented based on the Received Signal Strength Indication of the RFID system and Location Identification based on the Dynamic Active RFID Calibration (LANDMARC) algorithm. Then, the LANDMARC algorithm is improved through the Centroid Positioning algorithm, forming the CP-LANDMARC algorithm. Finally, a simulation experiment is conducted to test the system effect. The results demonstrate that: (1) the average error of the basic LANDMARC algorithm is 0.55 meters, and the average error of the CP-LANDMARC algorithm is 0.46 meters; (2) the average error of the CP-LANDMARC algorithm is 0.43 meters when the reference label is set to be evenly distributed in a square, and the average error of the optimized algorithm is 0.38 m when the reference label is set as an equilateral triangle; and (3) when the number of reference labels increases to 110, the average error decreases from 0.38 to 0.29. This paper aims to improve the quality of volleyball teaching and training by designing a relevant sports information acquisition system.
Circ_0061140 Facilitates Adenomyosis Progression by Upregulating LIN28B in vitro
Authors: Li Xiaoli , Lu Shenyi , Jiang Yan , Xu Kai , He Jingzhi , Qiu Zhangli , Ying Pian
Published: August 2022

Objectives: The aim of our study was to explore the role of circular RNA_0061140 (circ_0061140) in adenomyosis progression and its associated mechanism. Design: We first analyzed the expression pattern of circ_0061140 in endometrial tissues of adenomyosis patients (n = 27) and uterine fibroid patients (n = 15). Loss-of-function experiments were conducted to analyze the biological roles of circ_0061140 in regulating the viability, apoptosis, proliferation, migration, and invasion of endometrial epithelial cells. The downstream microRNA (miRNA)/messenger RNA (mRNA) axis of circ_0061140 was predicted by bioinformatics tool Starbase, and its working mechanism was verified by rescue experiments. Methods: Cell viability, apoptosis, proliferation, invasion, and migration were assessed by cell counting kit-8 assay, flow cytometry analysis, 5-ethynyl-2′-deoxyuridine assay, transwell assay, and scratch test. The binding relationship between miR-141-3p and circ_0061140 or lin-28 homolog B (LIN28B) was verified by dual-luciferase reporter assay and RNA immunoprecipitation (RIP) assay. Results: Circ_0061140 expression was upregulated in adenomyosis patients. Circ_0061140 knockdown suppressed the viability, proliferation, invasion, and migration and triggered the apoptosis of endometrial epithelial cells. Circ_0061140 served as a miRNA sponge for miR-141-3p, and miR-141-3p silencing partly reversed circ_0061140 knockdown-induced effects in endometrial epithelial cells. miR-141-3p directly interacted with LIN28B mRNA. LIN28B overexpression partly diminished miR-141-3p overexpression-mediated influences in endometrial epithelial cells. Circ_0061140 knockdown downregulated LIN28B expression by elevating miR-141-3p level in endometrial epithelial cells. Limitations: The functional verification of circ_0061140/miR-141-3p/LIN28B axis was merely conducted in vitro. Conclusion: Circ_0061140 contributed to adenomyosis progression by binding to miR-141-3p to induce LIN28B expression in vitro.
A Sociocultural Psychology of the Life Course to Study Human Development
Authors: Zittoun Tania
Published: August 2022

This paper presents one line of sociocultural psychology aiming at a better understanding of people’s development in their courses of life, unfolding in changing social and cultural environments. Adopting such a position leads me to three core questions: first, if development occurs at the junction of the social and the psychological, how can we theoretically account for the guidance of the sociocultural world upon people’s learning and development, and people’s unique capacities to create and transform these environments? Second, if one adopts such a perspective, how do we account for what it is that people develop through life, as they move through a plurality of situations? And third, as people learn and develop through life, how can we account for what is unique and personal? To address these questions, I first situate the epistemological assumptions of sociocultural psychology in relation to the works of Piaget and Vygotsky. Second, I present the principles of a sociocultural psychology and indicate the methodological strategies that I have adopted, together with a large group of colleagues over the years. The main part of the paper constitutes in responding to the three questions I raised. Finally, I propose a tentative synthesis.
High stability in color chromaticity of warm White emitting Diode with Dual-Hue SrSi2O2N2:Eu2+,Yb2+ Oxynitridosilicate Phosphorus
Authors: Nguyen Thi My Hanh , Xuan Le Phan , Le Thai Nguyen
Published: August 2022

In this study, we analyzed and developed a phosphor with a nitridiosilicate based and emitting color changing from green to orange to apply to our white-light-emitting diodes (WLEDs). Eu2+ and Yb2+ trap sites of two-doped SrSi2O2N2:Eu2+,Yb2+ (SrYb) nitridosilicate emit a wide emission in the region between green and orange. Through calculating the decompose time of the green-emission power donor, we could determine the converted energy between the active ions. Furthermore, we also analyzed the impact of co-doping with varied active ion ratios on the photoluminescence (PL) characteristics. As the concentration of Yb2+ increases, the red emission dominates the green. This was because the obtained phoshor's emission depended on the activator ion components. To generate white light, a combination of the acquired phosphor and the InGaN blue LED chip with a 450 nm wavelength was used. With only two steps, we could detect the hue balance management. Firstly, by modifying the Eu2+ and Yb2+ concentration, we can conduct a green-to-orange proportion optimization. Following that, the commission onillumination (CIE) coordinates were transformed to [0.4071; 0.3789] from the original position, which was [0.2805; 0.2014] by enhancing the phosphor powder amount. An environment which has a CRI of around 89 is the optimum condition for conducting white light.
Design and prototyping of an accelerometer based parallel manipulator for endoscope position control
Authors: Dusarlapudi Kalyan , Narasimha Raju Kuthuri , Kishore Kumar Kolusu , Sudhakar Kattupalli , Tiruvuri Charan Sai
Published: August 2022

The advancement of embedded controllers in minimally invasive robotic surgery (MIRS) provides an innovative and safe alternative to traditional open surgery. This paper illustrates the Accelerometer-based Embedded prototype of 4 link novel parallel manipulator design and endoscope end position control scheme. The parallel manipulator proposed is of 4 leg quadra model with 4 servo actuators to drive the end effector to which endoscope camera integrated with micro electro-mechanical system (MEMS) accelerometer. The parallel manipulator is modeled in Coppeliasim computer-aided design (CAD) and embedded control logic is implemented in the ATmega328P microcontroller. The achieved end effector movement is +/-10cm from the ground clearance validated it in CAD tool. The potentiometer-based position control of the endoscope and its image magnification is recorded. The internet of things (IoT) infrastructure extension to the demonstrated protype is proposed. This cost-effective model is compared with the existed models available in the market.
Adaptive weight grey wolf algorithm application on path planning in unknown environments
Authors: Abed Mustafa Salah , Lutfy Omar Farouq , Al-Doori Qusay Fadhel
Published: August 2022

Autonomous mobile robots developed using metaheuristic algorithms are increasingly becoming a hot topic in control and computer sciences. Specifically, finding the shortest route to the goal and avoiding hurdles are current subjects of autonomous mobile robots. The Modified Grey Wolf Optimization (MGWO) is demonstrated in this work using two approaches: first, the Adaptive Adjustment Approach of the Control Parameters, and second, the Adaptive Variable Weights method. Those two methods are utilized for updating the wolf position, accelerate convergence, and cut down on time. The proposed online optimization approach is used in three different environments including an environment with unknown static obstacles, dynamic obstacles, and an environment with a dynamic target. The online optimization method is performed using two phases which are the sensors reading phase and the path calculation phase. The proposed approach can solve a local minima problem in the static obstacles. A comparison study result between the proposed method and two other algorithms revealed that the proposed algorithm performed better in avoiding obstacles, which include the situation with the local minima. Finally, when put to comparison with Hybrid Fuzzy-Wind Driven Optimization and Adaptive Particle Swarm Optimization the average improvement rates in route length are 2.86% and 4.70391%, respectively.
Enhancement of motor speed identification using artificial neural networks
Authors: Salih Arshad B. , Mahmood Zuhair Shakor , Ali Ardm Haseeb Mohammed , Nasret Ali Najdet
Published: August 2022

In this study have been utilized a modified version of ant colony optimization to improve the thresholds of neural networks and weights by including therank-weight approach. Furthermore, this technique easily overcome the drawbacks speed up convergence into the minimum while training the backpropagation neural network. The improved ant colony optimization-backpropagation neural.not only has the capacity to map extensively, but it also enhances operating efficiency noticeably, according to the simulation findings. The simulation results revealed that the speed sensor replaced with the ant colony optimization rw-optimized back propagation neural network-speed identification and motor’s speed determined using this approach the result is satisfactory.
Enhancement and modification of automatic speaker verification by utilizing hidden Markov model
Authors: Kadhim Imad Burhan , Nasret Ali Najdet , Mahmood Zuhair Shakor
Published: August 2022

The purpose of this study is to discuss the design and implementation of autonomous surface vehicle (ASV) systems. There’s a lot riding on the advancement and improvement of ASV applications, especially given the benefits they provide over other biometric approaches. Modern speaker recognition systems rely on statistical models like hidden Markov model (HMM), support vector machine (SVM), artificial neural networks (ANN), generalized method of moments (GMM), and combined models to identify speakers. Using a French dataset, this study investigates the effectiveness of prompted te xt speaker verification. At a context-free, single mixed mono phony level, this study has been constructing a continuous speech system based on HMM. After that, suitable voice data is used to build the client and world models. In order to verify speakers, the text-dependent speaker ver-ification system uses sentence HMM that have been concatenated for the key text. Normalized log-likelihood is determined from client model forced by Viterbi algorithm and world model, in the verification step as the difference between the log-likelihood. At long last, a method for figuring out the verification results is revealed.
Interference immunity and energy efficiency of digital communications systems in multipath channel with fading
Authors: Tashatov Nurlan N. , Seksembayeva Manara A. , V. Ovechkin Gennady , Satybaldina Dina , Seitkulov Yerzhan N.
Published: August 2022

In the study of measures to improve channel efficiency, we developed and presented a performance analysis of a digital communication system for image transmission in a multipath channel with fading, in the MATLAB/Simulink environment, one of the main advan tages being that it provides high interference immunity in the presence of noise and interference and signal delays. The scheme has been investigated for bit error rate (BER) on additive white Gaussian noise (AWGN) channel and multipath Rice and Rayleigh fading channel operating under the influence of inter-symbol interference (hereinafter ISI) and different parameters for the channel, where we considered cases of signal delay similar for EPA (extended pedestrian a model (EPA) standards). In this paper, we estimate the effectiveness of compensation for signal distortion in radio channels with fading on the basis coded orthogonal frequency-division multiplexing (COFDM) technology, an adaptive equalizer, amplifiers on the transmitter side and a normalizer on t he receiver side, which is an acute problem in the field of wireless communication. This system can be applied to transmit better quality high-resolution radiological images over a wireless network inside a building and for a model analogous of pedestrian traffic.