bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluation and of University Building Design Effect Based on Multisensor Perception and Data Security
Authors: Xie Xusheng , Zhou Junling , Wen Xin
Published: January 2022

The development of the smart cities with new and integrated information and communication technologies has changed the traditional industries’ processes. One of the domains is construction industry which plays an important supporting role for the economic development of a country, but at the same time, the construction industry is also an industry with high energy consumption and high pollution. Therefore, in order to alleviate the contradiction between economic development and resources and the environment, the construction industry must achieve sustainable development and take the road of green construction. In order to carry out the evaluation of the design effect of colleges and universities, this paper introduces the multisensor perception and fuzzy comprehensive evaluation methods. First, through the design and analysis of the sensor perception system used in the building environment, the collection, acquisition, analysis, and processing of complex information of heterogeneous multiterminals are obtained. Secondly, cluster analysis and genetic algorithms are used in the processing and analysis process of building multiterminal sensor data. The security aspect is also taking into account to design the methods. The system test verifies the performance of the university building design effect evaluation model, which can provide a reference for the sustainable development of the construction industry.
Performance Research of Materials and Engineering Application of Overburden Strata Separation-Zone Grouting Technology
Authors: Huang Wanpeng , Li Huanyu , Sun Gang , Jiang Donghai , Gao Yanfa
Published: January 2022

To solve the ground subsidence problem associated with thick coal seam mining under the railway in the Tangshan Mine, the technology of overburden strata separation-zone grouting (OSSG) was proposed. Based on the analysis of the full height overlying strata structure in the range of the six working face areas of the second mining district, the spatial distribution characteristics of the separation zone within the overlying strata are obtained after fully mining the six working faces. Then, emphasis was placed on the selection ratio of grouting materials and the hydrodynamic properties of different grout types, and grouting grout with a high concentration, slow precipitation rate, and good stability was obtained by taking fly ash and local clay as aggregates. The designed grout concentration was approximately 40%; the bulk density was approximately 1.20; and the clay content in the aggregates was approximately 40–50%. The separation-zone grouting plan was designed for the six working faces, and continuous grouting technology with the characteristics of multiple separation zones within the full-height section with a large flow and a high concentration was proposed to form a complete grouting system and reasonable grouting process. After engineering verification, the technology has an ash injection ratio of 24.2%, a grouting ratio of 100.3%, and a reduction in the ground subsidence ratio of 51.5%, effectively reducing mining damage to the ground surface and ensuring the safe operation of ground surface railways. Simultaneously, this advancement improves the resource recovery rate of coal mines and provides greater benefits for mining enterprises.
Epidermal Growth Factor Receptor as Target for Perioperative Elimination of Circulating Colorectal Cancer Cells
Authors: Gruijs Mandy , Braster Rens , Overdijk Marije B. , Hellingman Tessa , Verploegen Sandra , Korthouwer Rianne , van der Wilk Berend J. , Parren Paul W. H. I. , van der Vliet Hans J. , Bögels Marijn , van Egmond Marjolein
Published: January 2022

Surgical resection of the tumor is the primary treatment of colorectal cancer patients. However, we previously demonstrated that abdominal surgery promotes the adherence of circulating tumor cells (CTC) in the liver and subsequent liver metastasis development. Importantly, preoperative treatment with specific tumor-targeting monoclonal antibodies (mAb) prevented surgery-induced liver metastasis development in rats. This study investigated whether the epidermal growth factor receptor (EGFR) represents a suitable target for preoperative antibody treatment of colorectal cancer patients undergoing surgery. The majority of patients with resectable colorectal liver metastases were shown to have EGFR + CTCs. Three different anti-EGFR mAbs (cetuximab, zalutumumab, and panitumumab) were equally efficient in the opsonization of tumor cell lines. Additionally, all three mAbs induced antibody-dependent cellular phagocytosis (ADCP) of tumor cells by macrophages at low antibody concentrations in vitro, independent of mutations in EGFR signaling pathways. The plasma of cetuximab-treated patients efficiently opsonized tumor cells ex vivo and induced phagocytosis. Furthermore, neither proliferation nor migration of epithelial cells was affected in vitro, supporting that wound healing will not be hampered by treatment with low anti-EGFR mAb concentrations. These data support the use of a low dose of anti-EGFR mAbs prior to resection of the tumor to eliminate CTCs without interfering with the healing of the anastomosis. Ultimately, this may reduce the risk of metastasis development, consequently improving long-term patient outcome significantly.
Regulatory Role of Zinc in Allergic Rhinitis through the IL-33/ST2 Pathway
Authors: Wen Wulin , Yang Fengxia , Shen Xueliang , Feng Ningyu , Ha Huiyu , Ma Ruixia
Published: January 2022

Objective. We aimed to investigate the expression of serum zinc and cytokines interleukin- (IL-) 13 and IL-33 in patients with allergic rhinitis (AR) and observe the effects of zinc on cytokines and pathway proteins in P815 mast cells stimulated by Artemisia annua allergen (Art.) in the IL-33/suppression of the tumorigenicity 2 (ST2) pathway. We also aimed to explore the possible regulatory role of zinc in AR and provide new ideas to determine the etiology and treatment of AR. Methods. AR patients treated from March to September in 2018 were selected as the research participants, and 50 healthy people in the same period were selected as the control group. Serum samples of all patients were collected, and those of AR patients were tested for the presence of allergens. The expression of IL-13 and IL-33 was detected by performing an enzyme-linked immunosorbent assay, while the serum zinc level was detected by conducting an inductively coupled plasma mass spectrometry. The cell counting kit (CCK-8) was used to detect the proliferation of P815 mast cells, and western blot was used to detect the expression of ST2, p38, and p65 proteins. Results. A total of 92 AR patients were included in the study; of them, 52 had mild AR, while 40 had moderate AR. The primary allergen found in AR patients was Artemisia, and the positivity rate was 53.26%. The serum zinc ion level of AR patients decreased, and the expression of IL-13 and IL-33 increased. After Art. was used to treat P815 mast cells, the expression of IL-33 in the cell supernatant increased in a concentration-dependent manner, the expression of receptor ST2 increased, and the expression of downstream p38 and p65 proteins increased. However, after treatment with ZnSO4, the expression of IL-33 in the cell supernatant decreased, and the expression of ST2, p38, and p65 protein decreased. Conclusion. The serum zinc level of AR patients decreased. In the IL-33/ST2 pathway, ZnSO4 can reduce the hypersensitivity of mast cells induced by Art.
International Trade English Phrases and Grammar Translation
Authors: Wang Xinxin
Published: January 2022

With the frequent occurrence of international trade communication, in order to improve the quality of communication, this paper proposes a study on the translation of international trade English phrases and grammar. First, with the help of a rectangular window function, the composition principle of international trade English phrases is determined. Then, the horizontal feature aggregation point method is introduced to build a mathematical model of the characteristic identification of the English phrases. Finally, the sparse matrix representation of the source phrase is constructed to complete the extraction and preprocessing of the English phrase features. The input English sentence is converted into the output sentence, the form and POS factors of the English semantic translation are extracted, and a lemma is introduced to obtain the surface form of international trade English language factors. According to the international trade grammar analysis method, this paper decomposes the translation model, decomposes English sentences into small phrases for translation, and completes the research on international trade English phrase and grammar translation. The experimental results show that this method has high accuracy in the feature extraction of international trade English phrases, and the error rate is low, which is feasible.
A Credit Conflict Detection Model Based on Decision Distance and Probability Matrix
Authors: Zhang Xiaodong , Lv Congdong , Sun Zhoubao
Published: January 2022

Considering the credit index calculation differences, semantic differences, false data, and other problems between platforms such as Internet finance, e-commerce, and health and elderly care, which lead to the credit deviation from the trusted range of credit subjects and the lack of related information of credit subjects, in this paper, we proposed a crossplatform service credit conflict detection model based on the decision distance to support the migration and application of crossplatform credit information transmission and integration. Firstly, we give a scoring table of influencing factors. Score is the probability of the impact of this factor on credit. Through this probability, the distance matrix between influencing factors is generated. Secondly, the similarity matrix is calculated from the distance matrix. Thirdly, the support vector is calculated through the similarity matrix. Fourth, the credit vector is calculated by the support vector. Finally, the credibility is calculated by the credit vector and probability.
CXR-RefineDet: Single-Shot Refinement Neural Network for Chest X-Ray Radiograph Based on Multiple Lesions Detection
Authors: Lin Cong , Zheng Yongbin , Xiao Xiuchun , Lin Jialun
Published: January 2022

The workload of radiologists has dramatically increased in the context of the COVID-19 pandemic, causing misdiagnosis and missed diagnosis of diseases. The use of artificial intelligence technology can assist doctors in locating and identifying lesions in medical images. In order to improve the accuracy of disease diagnosis in medical imaging, we propose a lung disease detection neural network that is superior to the current mainstream object detection model in this paper. By combining the advantages of RepVGG block and Resblock in information fusion and information extraction, we design a backbone RRNet with few parameters and strong feature extraction capabilities. After that, we propose a structure called Information Reuse, which can solve the problem of low utilization of the original network output features by connecting the normalized features back to the network. Combining the network of RRNet and the improved RefineDet, we propose the overall network which was called CXR-RefineDet. Through a large number of experiments on the largest public lung chest radiograph detection dataset VinDr-CXR, it is found that the detection accuracy and inference speed of CXR-RefineDet have reached 0.1686 mAP and 6.8 fps, respectively, which is better than the two-stage object detection algorithm using a strong backbone like ResNet-50 and ResNet-101. In addition, the fast reasoning speed of CXR-RefineDet also provides the possibility for the actual implementation of the computer-aided diagnosis system.
Wearable Devices and Intelligent Application in Women’s Postpartum Repair for Smart Healthcare
Authors: Wang Jing , Wang Danfeng
Published: January 2022

Wearable devices are more and more widely used in the field of smart healthcare. The purpose of this study was to explore the effect of contraceptive counseling and education on contraceptive behavior of women after induced abortion. The investigators will explain the situation of this topic to the respondents and select the respondents in strict accordance with the framework requirements of sampling design. All the data are from the induced abortion women in the first-, second-, and third-level hospitals, which reduces the selection bias of the respondents. It is found that the proportion of induced abortion among college students is the highest, reaching 66.03%. This study is helpful to reduce the incidence of unwanted pregnancy, induced abortion, and repeated abortion and improve the reproductive health of women.
Application Effect of the Standard Operating Procedure in the Prevention of Venous Thromboembolism
Authors: Zhang Hongxia , Zhu Zonghong , Wang Xiaoyan , Wang Xiaofeng , Fan Limin , Wu Ranran , Sun Chenjing
Published: January 2022

Objective. To investigate the application effect of the standard operating procedure (SOP) in the prevention of venous thromboembolism (VTE). Methods. The clinical data of patients admitted to respiratory, cardiovascular, neurological, and geriatric departments in the hospital (November 2020–May 2021) were retrospectively analyzed, and the patients in line with the inclusion criteria were equally randomized into the observation group (OG) and the control group (CG). The CG was treated with the routine nursing, and the OG received the SOP of VTE prevention additionally. After the record of the incidence of VTE and nursing satisfaction of the two groups, scores of VTE awareness were compared. Results. One hundred and twenty patients were included in this study, and no obvious difference was found in the general data of patients (

P

 > 0.05). Compared with the CG, the incidence of VTE of the OG was obviously lower (

P

 < 0.05). After nursing, compared with the CG, scores of VTE awareness in the OG were conspicuously higher (

P

 < 0.001), and scores of VTE awareness of the nursing staff were conspicuously higher than those before nursing (

P

 < 0.001). Compared with the CG, nursing satisfaction of the OG was obviously higher (

P

 < 0.001). Conclusion. SOP can reduce the incidence of VTE of patients, improve their disease awareness, and enhance their nursing satisfaction, which should be popularized in practice.
Biostatistics of VHL-Gene Transfection in the Health Informatics Analysis of Renal Cell Carcinoma
Authors: Gong Yunxiang , Wang Degang , Wang Wengang
Published: January 2022

Objective. In this paper, we study the role of the VHL gene in regulating the proliferation and apoptosis of renal cell carcinoma, as well as the safety and transfection efficiency of ultrasound microbubble gene transfection technology. Method. We use kidney cancer cell lines as an in vitro research object and apply ultrasound microbubble gene transfection technology to transfect the VHL gene into kidney cancer cell line (786-0). The proliferation and apoptosis of cells were measured to clarify the inhibitory effect of the VHL gene in renal cell carcinoma. After that, pEGFP-VHL was transfected using ultrasonic microbubble and liposome gene transfection techniques, respectively, and the transfection efficiency was measured by immunofluorescence. Results. Compared with untreated and 786-0 cells that are transfected with empty vector, the expression level of VHL gene mRNA in 786-0 cells that are transfected with pcDNA3.1-VHL was significantly increased, and the cell growth inhibition rate was significantly higher. The rate of apoptosis increased significantly. Transfection efficiency of the pEGFP-VHL gene after transfection of 786-0 cells for 48 h: control group 0, liposome group (

35.55
±
2.77

) %, ultrasound microbubble group (

18.27
±
2.83

) %, and two transfection methods on cells. There is no significant difference in the impact of vitality. Conclusion. VHL gene expression can significantly inhibit the proliferation ability of renal cancer cell line 786-0 and promote its apoptosis. VHL gene is a potential target for gene therapy of kidney cancer.
Shear Wave Elastography-Assisted Ultrasound Breast Image Analysis and Identification of Abnormal Data
Authors: Yan Caoxin , Luo Zhiyan , Lin Zimei , He Huilin , Luo Yunkai , Chen Jian
Published: January 2022

In this paper, shear wave elastography was used to study and analyze the images of the breast in-depth and identify the abnormal image data. Sixty breast lesions were evaluated, and quantitative metrics were reproducible in the static and dynamic modes of shear wave elastography with a higher interobserver agreement in dynamic qualitative metrics than in the static mode. There were no statistically significant differences between the two modes of imaging in quantitative metrics, and quantitative metrics were more effective than qualitative metrics. Postoperative immunohistochemical expression of ER, PR, HER-2, Ki-67, molecular typing, pathological type, histological grading, and axillary lymph node status of breast cancer was obtained based on pathological results. The correlation between mass size, patient age, and WiMAX values of breast cancer masses was analyzed using Pearson correlation, and the differences in SWVmax values of breast cancer masses between different expressions of immunohistochemical parameters ER, PR, HER-2, Ki-67, and axillary lymph node status were compared using tests. The variables with correlations and differences were included in the multiple linear regression analysis to assess the factors influencing the SWVmax values. The performance of TDPM, SPM, and TSPM was compared using PVA body models with different freeze-thaw cycles. The results showed that TSPM performed better than SPM in general, and TDPM showed excellent performance because of high temporal resolution and low random error, especially when the number of freeze-thaw cycles increased and the hardness of the PVA body mold increased. Measurements at different depths of inhomogeneous body models also showed that the TDPM method was less affected by depth, and the results were more stable. Finally, the reliability of the shear wave velocity (SWS) measured by the TDPM and SPM methods was investigated using porcine ligament tissue, and the results showed that the mean values of SWS goodness of fit for TDPM and SPM were 0.94 and 0.87, respectively, and the estimated elastic modulus of TDPM was very close to the mechanical test results.
The Study of Face Processing in Social Anxiety Disorder Based on Face-Specific N170 Component
Authors: Bi Xuejing , Guo Min , Cao Jianqin , Hao Yanhua
Published: January 2022

Although previous studies showed that social anxiety disorder (SAD) exhibits the attentional bias for angry faces, few studies investigated effective face recognition combined with event-related potential (ERP) technique in SAD patients, especially the treatment effect. This study examines the differences in face processing in SAD patients before and after treatment and healthy control people (H-group). High-density EEG scans were registered in response to emotional schematic faces, particularly interested in the face processing N170 component. Analysis of N170 amplitude revealed a larger N170 for P-group-pre in response to inverted and upright stimuli than H-group in the right hemisphere. The result of the intragroup t-test showed that N170 was delayed for inverted relative to upright faces only in P-group-post and H-group but not in P-group-pre. Remarkably, the results of ANOVAs manifested that emotional expression cannot modulate N170 for SAD patients. Besides, the N170-based asymmetry index (AI) was introduced to analyze the left- and right-hemisphere dominance of N170 for three groups. It was found that, with the improvement of patients’ treatment, the value of

A

I

N
170
−
b
a
s
e
 
 
d

presented a decreasing trend. These results together suggested that there was no inversion effect observed for patients with SAD. The change in the value of

A

I

N
170
−
b
a
s
e
 
 
d

can be used as potential electrophysiological markers for the diagnosis and treatment effects on patients with SAD.
Analysis of the Application Value of X-Ray Digital Tomographic Fusion Technique in Urinary System Diseases
Authors: Ouyang Chensi , Yang Xiufang , Xie Jinghong , Hu Jinqiang
Published: January 2022

Objective. To explore the application value of the X-ray digital tomographic fusion technique in the diagnosis of urinary system diseases. Methods. 500 patients with suspected urinary diseases in our hospital were examined by three methods: X-ray digital tomographic fusion imaging (DTS), intravenous pyelography (IVP), and abdominal plain film (KUB), and the image quality before and after tomographic fusion was objectively evaluated. The image quality could be divided into three grades: excellent, good, and poor. Results. The image excellent rate of DTS (88%) was higher than that of IVP (27.5%). The sensitivity of DTS in the diagnosis of renal cyst and space occupying of the bladder was higher than that of IVP (

P
<
0.05

). The accuracy rate of DTS in the diagnosis of urinary calculi was 93.33%, higher than 63.3% of KUB (

P
<
0.001

). The accuracy rate of DTS in the diagnosis of ureteral stricture was 90%, higher than 65% of IVP (

P
=
0.03

). The accuracy of DTS in the diagnosis of hydronephrosis was higher than that of IVP and KUB (

P
<
0.05

). Conclusion. In the examination of urinary system-related diseases, high-definition images can be obtained by timely using sectional fusion technology. Compared with conventional IVP, space occupying lesions such as the bladder and kidney can be displayed more clearly with the help of the tomographic fusion technique, which is helpful to improve the possibility of finding lesions and is of great significance in clinical application.
Noninteger Derivative Order Analysis on Plane Wave Reflection from Electro-Magneto-Thermo-Microstretch Medium with a Gravity Field within the Three-Phase Lag Model
Authors: Elhag S. H. , Bayones Fatimah S. , Kilany A. A. , Abo-Dahab S. M. , Abdel-Salam Emad A.-B. , Elsagheer M. , Abd-Alla A. M.
Published: January 2022

The present research paper illustrates how noninteger derivative order analysis affects the reflection of partial thermal expansion waves under the generalized theory of plane harmonic wave reflection from a semivacuum elastic solid material with both gravity and magnetic field in the three-phase lag model (3PHL). The main goal for this study is investigating the fractional order impact and the applications related to the orders, especially in biology, medicine, and bioinformatics, besides the integer order considering an external effect, such as electromagnetic, gravity, and phase lags in a microstretch medium. The problem fractional form was formulated, and the boundary conditions were applied. The results were displayed graphically, considering the 3PHL model with magnetic field, gravity, and relaxation time. These findings were an explicit comparison of the effect of the plane wave reflection amplitude with integer derivative order analysis and noninteger derivative order analysis. The fractional order was compared to the correspondence integer order that indicated to the difference between them and agreement with the applications in biology, medicine, and other related topics. This phenomenon has more applications in relation to the biology and biomathematics problems.
Copying and Recreation Methods of Painting Works Relying on Mobile Digital Multimedia Big Data Analysis
Authors: Xue Li , Yang Chuangjian
Published: January 2022

In order to improve the effect of copying and recreation of painting works, this paper combines mobile digital multimedia big data technology to improve the image coding algorithm, identify the characteristics of existing works, apply the algorithm to the detailed analysis of painting works, and construct the main functional structure modules of the system. Moreover, this paper combines the existing hardware equipment to construct the painting works’ recreation system and obtains the image processing module. After the system is constructed, the effect of copying and recreating painting works is analyzed through the mobile digital multimedia big data analysis technology. Finally, this paper constructs the system of this paper through simulation methods and uses experiments to calculate the feature recognition effect and copy effect of the painting works of the system. Through experimental analysis, it can be known that the copying and recreation system of painting works based on mobile digital multimedia big data analysis proposed in this paper can help painters effectively improve the effect of recreation.
Mechanics of Materials Natural Fibers Technology on Thermal Properties of Polymer
Authors: Alazzam Malik Bader , Hajjej Fahima , AlGhamdi Ahmed S , Ayouni Sarra , Rahman Md Adnan
Published: January 2022

The thermal characteristics of polymathic methacrylate combined with unsaturated polyester were determined by numerical and experimental research. Models for numerically investigating the parameters of thermal conductivity, specific heat capacity, and thermal diffusivity were developed using COMSOL Multiphysics. The numerical data were then compared to experimental results for the same material using the same measurements to ensure that they were correct. By comparing the thermal conductivity data to two sets of theoretical data, the results were confirmed. The COMSOL models were quite close to the experimental data, with just minor differences between the three models. One set of theoretical data coincided with the mean of the other data, while the second set revealed a significant departure below the other data.
Probably the Mycobacterium avium Complex around the Staple Line Exacerbated after Radiation Therapy
Authors: Ito Masashi , Yoshii Akihiro , Osaki Takashi , Kuwako Tomohito , Yamaki Ei , Kawashima Osamu
Published: January 2022

The space around the staple line after lung surgery is at high risk of nontuberculosis Mycobacterium pulmonary disease (NTM-PD). Solitary nodules of NTM-PD around the staple line are difficult to distinguish from lung cancer. There is no clear identification from laboratory data and radiologic findings without histological examination. In the present case, we misdiagnosed the pulmonary granulomas with Mycobacterium avium complex pulmonary disease (MAC-PD) as a recurrence of lung cancer. We conducted radiation therapy. The pulmonary granulomas with MAC-PD were exacerbated by irradiation. The effects of radiation therapy for MAC-PD are unknown. When radiation therapy is performed for the patient coexistence with MAC-PD, we should pay attention to exacerbation of MAC-PD.
Performance Appraisal Management System of University Administrators Based on Hybrid Cloud
Authors: Wu XiuQing
Published: January 2022

Aiming at the problems of poor functionality, high occupancy, and low real-time performance of the currently designed performance appraisal management system for university administrators, a performance appraisal management system for university administrators based on hybrid cloud is designed. According to the characteristics of hybrid cloud technology, the overall functional requirements and feasibility of the system are analyzed, and the assessment scheme of administrative personnel according to the provisions of relevant documents is analyzed. The performance appraisal index system is designed using an analytic hierarchy process. Using the hybrid cloud architecture and B/S mode based on each component as a service model and J2EE development framework, the basic information management subsystem of administrative personnel, performance appraisal information management subsystem, information analysis and data mining subsystem, and platform system management subsystem are developed. Using XML technology and database technology, the system is integrated with the performance appraisal management system of administrators in colleges and universities. Through the design of data flow diagram and E-R diagram, the design of performance appraisal management system for university administrators based on hybrid cloud is realized. The experimental results show that the proposed method has good functionality, can effectively reduce the system occupancy, and can improve the real-time performance of the system.
Extensive Longitudinal Transverse Myelitis after Influenza A Virus Infection in a Patient with Systemic Lupus Erythematosus
Authors: Márquez Suheiry , Vilá Luis M.
Published: January 2022

Transverse myelitis (TM) is a rare complication seen in 1–2% of patients with systemic lupus erythematosus (SLE). Viral infections may cause TM in these patients by causing a dysregulation of their immune system. We report a 30-year-old woman with SLE who had influenza A and a few days later developed urinary retention, bilateral lower extremity paralysis, upper extremity weakness, and optic nerve and macular edema. Magnetic resonance imaging showed C4-T12 hyperintense lesions consistent with TM. She was treated with intravenous methylprednisolone 1 g daily for 3 days and then 6 cycles of monthly intravenous cyclophosphamide. This treatment was followed by oral prednisone. She had a remarkable clinical response. Visual acuity improved to her baseline, and muscle strength almost fully recovered. Clinicians should be aware that viral infections, including influenza, may induce TM. This case highlights the importance of early recognition and prompt treatment with immunosuppressive drugs in such cases.
Chebyshev Polynomials of Sixth Kind for Solving Nonlinear Fractional PDEs with Proportional Delay and Its Convergence Analysis
Authors: Sadri Khadijeh , Aminikhah Hossein
Published: January 2022

This work devotes to solving a class of delay fractional partial differential equations that arises in physical, biological, medical, and climate models. For this, a numerical scheme is implemented that applies operational matrices to convert the main problem into a system of algebraic equations; then, solving the resultant system leads to an approximate solution. The two-variable Chebyshev polynomials of the sixth kind, as basis functions in the proposed method, are constructed by the one-variable ones, and their operational matrices are derived. Error bounds of approximate solutions and their fractional and classical derivatives are computed. With the aid of these bounds, a bound for the residual function is estimated. Three illustrative examples demonstrate the simplicity and efficiency of the proposed method.
The Effects of Diagnosis-Related Group Payment on Diagnostic Cerebral Angiograms through a Transradial and Transfemoral Approach: A Comparative Observational Study
Authors: Chen Wei , Song Xi-Fang , Wan Min , Liu Li , Jia Wei-Hua
Published: January 2022

Background. Cerebral angiography is an X-ray examination technique widely used in hospitals. At present, it is mainly divided into two kinds of angiography examination: transfemoral artery and transradial artery puncture. The diagnosis-related group (DRG) system is a new type of payment standard recognized internationally, but its impact on medical care and health outcomes is currently controversial. Aim. In this study, we conducted a comparative study on two invasive approaches, transradial artery and transfemoral artery puncture and observed whether DRG had an impact on the quality of the medical process. Methods. We compared and analyzed patients undergoing cerebral angiography via the femoral artery and radial artery puncture by recording the relevant parameters and comfort scale scores (GCQ) during the operation, as well as postoperative complications. At the same time, we observed the proportion of different puncture routes and the success rate of cerebral angiography before and after the implementation of a DRG payment simulation. Results. The results of the comparative analysis of patients’ transradial artery and transfemoral artery puncture angiography showed that the puncture success rate (99.1% vs. 97.2%,P>0.05), angiography success rate (97.3% vs. 95.1%,P>0.05), and X-ray radiation time (4.82 vs. 5.15 min,P>0.05) demonstrated no significant difference. The ambulation time (1.52 vs. 12.06 h,P<0.05), puncture time (22.42 vs. 31.02 min,P<0.05), and complications (3.57% vs. 9.03%,P<0.05) of the radial artery group were significantly lower than those of the femoral artery group. In contrast, the GCQ score of the radial artery group at each stage after angiography was significantly higher than that of the femoral artery group (P<0.05). Compared with before the DRG simulation, the proportion of cerebral angiography with transradial artery puncture increased significantly after its implementation. Conclusion. Compared with transfemoral cerebrovascular angiography, transradial cerebrovascular angiography has many advantages, such as less local damage, less pain, less postoperative bed-rest time, significantly lower incidence of total complications, and a lower cost. Following the implementation of the DRG payment method, the quality of the angiography medical process improved.
Research on Artificial Intelligence Classification and Statistical Methods of Financial Data in Smart Cities
Authors: Fu Xuezhong
Published: January 2022

In order to improve the effect of financial data classification and extract effective information from financial data, this paper improves the data mining algorithm, uses linear combination of principal components to represent missing variables, and performs dimensionality reduction processing on multidimensional data. In order to achieve the standardization of sample data, this paper standardizes the data and combines statistical methods to build an intelligent financial data processing model. In addition, starting from the actual situation, this paper proposes the artificial intelligence classification and statistical methods of financial data in smart cities and designs data simulation experiments to conduct experimental analysis on the methods proposed in this paper. From the experimental results, the artificial intelligence classification and statistical method of financial data in smart cities proposed in this paper can play an important role in the statistical analysis of financial data.
Comorbidities as Risk Factors for Severe Disease in Hospitalized Elderly COVID-19 Patients by Different Age-Groups in Japan
Authors: Asai Yusuke , Nomoto Hidetoshi , Hayakawa Kayoko , Matsunaga Nobuaki , Tsuzuki Shinya , Terada Mari , Ohtsu Hiroshi , Kitajima Koji , Suzuki Kumiko , Suzuki Tetsuya , Nakamura Keiji , Morioka Shinichiro , Saito Sho , Saito Fumitake , Ohmagari Norio
Published: January 2022

Introduction: Old age is an independent risk factor (RF) for severe COVID-19; evidence for clinico-epidemiological characteristics among elderly COVID-19 patients is scarce. We aimed to analyze clinical and epidemiological characteristics and comorbidities associated with COVID-19 inpatients in age-stratified populations of an elderly COVID-19 cohort. Methods: We conducted a retrospective cohort study, using nationwide registry data of COVID-19 patients hospitalized before October 31, 2020 (major information entered in the registry as of December 28, 2020). Participants were divided by age according to the Japan Geriatrics Society and the Japan Gerontological Society: pre-old (65–74 years), old (75–89 years), and super-old (≥90 years). Multivariable logistic regression (MLR) analyses were conducted to identify stratified risk and relationships with comorbidities associated with worse outcomes in different age-groups of elderly patients. Demographics and supportive care were evaluated by category. Results: Data of 4,701 patients from 444 hospitals were included. Most patients (79.3%) had at least one comorbidity; the proportion of patients with hypertension was high in all categories. The proportion of patients with dementia, cardiovascular disease, and cerebrovascular disease increased with age. The percentage of patients who underwent invasive mechanical ventilation/extracorporeal membrane oxygenation was lower in the super-old group. In total, 11.5% of patients died (5.3%, pre-old; 15.2%, old; and 22.4%, super-old). MLR showed that the risk of critical illness differed among age-groups. Male sex was a significant RF in all ages. Collagen disease, moderate to severe renal disorder, and dialysis were significant RFs in older patients, while hematological malignancies and metastatic tumors were more important RFs for severe disease in relatively younger patients. Most of the RFs for critical illnesses were associated with death. Conclusion: Differences in the epidemiological and clinical characteristics among the different age-groups were found.
Application of the Paris Reporting System for Urine Cytology: The Three-Year Experience of a Single Tertiary Care Institute in Thailand
Authors: Phruttinarakorn Bantita , Plumworasawat Sirithep , Kayankarnnavee Jitchai , Lualon Jirasit , Pongtippan Atcharaporn
Published: January 2022

Introduction: Urothelial carcinoma is one of the most common human cancers, both in Thailand and worldwide. Urine cytology is a screening tool used to detect urothelial carcinoma. The Paris System for Reporting Urinary Cytology (TPSRUC) was first published in 2016 to standardize the procedures, reporting, and management of urothelial carcinoma. Diagnostic categories include negative for high-grade urothelial carcinoma (NHGUC), atypical urothelial cells (AUCs), suspicious for HGUC (SHGUC), HGUC, low-grade urothelial neoplasm, and other malignancies. Material and Methods: In a retrospective review, urine cytology specimens from 2016 to 2019 were reevaluated using the TPSRUC. The risk of high-grade malignant neoplasm (ROHM) for each diagnostic category was calculated. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of prediction of high-grade malignant neoplasms were evaluated for cases with histological follow-up specimens. Results: In total, 2,178 urine cytology specimens were evaluated, of which 456 cases had follow-up histological specimens. The ROHM in each diagnostic category was as follows: NHGUC, 17.4%; AUC, 49.9%; SHGUC, 81.2%; HGUC, 91.3%; and other malignant neoplasms, 87.5%. The sensitivity, specificity, PPV, NPV, and accuracy for high-grade malignant neoplasm prediction were 63%, 92.8%, 89%, 73.1%, and 78.5% when AUC was included as malignant in the comparison and 82.6%, 74.7%, 75.1%, 82.3%, and 78.5% when AUC was not considered malignant. Conclusions: TPSRUC provides reliable results that are reproducible by different interpreters and is a helpful tool for the detection of HGUC.
Automatic delivery-scam prevention using Raspberry-Pi
Authors: Bhaskaran Bindu , Gunasekaran Barath Krishna , Velumani Srinivasan
Published: January 2022

The word ‘automatic’ is unavoidable in this modern technical era. Automation facilitates not only technical advancement and time reduction to several processes, but also provides protection in various aspects. Delivery scam is a commonly occurring crime and it has to be reduced. Product delivery is a long process which involves various people to ensure correct delivery to the customer, providing chances for scam to occur. This paper discusses on an automatic delivery-scam prevention system with the help of Raspberry-Pi controller. This system provides safety to the ordered goods by limiting the authorisation of opening the packages to company and the customer only. It assures the safe and correct delivery of the ordered product.
A simple faulted phase-based fault distance estimation algorithm for a loop distribution system
Authors: Myint Shwe , Wichakool Warit
Published: January 2022

This paper presents a single ended faulted phase-based traveling wave fault localization algorithm for loop distribution grids which is that the sensor can get many reflected signals from the fault point to face the complexity of localization. This localization algorithm uses a band pass filter to remove noise from the corrupted signal. The arriving times of the faulted phase-based filtered signals can be obtained by using phase-modal and discrete wavelet transformations. The estimated fault distance can be calculated using the traveling wave method. The proposed algorithm presents detail level analysis using three detail levels coefficients. The proposed algorithm is tested with MATLAB simulation single line to ground fault in a 10 kV grounded loop distribution system. The simulation result shows that the faulted phase time delay can give better accuracy than using conventional time delays. The proposed algorithm can give fault distance estimation accuracy up to 99.7% with 30 dB contaminated signal-to-noise ratio (SNR) for the nearest lines from the measured terminal.
An efficient look up table based approximate adder for field programmable gate array
Authors: Ramezani Hadise , Mohammadi Majid , Molahosseini Amir Sabbagh
Published: January 2022

The approximate computing is an alternative computing approach which can lead to high-performance implementation of audio and image processing as well as deep learning applications. However, most of the available approximate adders have been designed using application specific integrated circuits (ASICs), and they would not result in an efficient implementation on field programmable gate arrays (FPGAs). In this paper, we have designed a new approximate adder customized for efficient implementation on FPGAs, and then it has been used to build the Gaussian filter. The experimental results of the implementation of Gaussian filter based on the proposed approximate adder on a Virtex-7 FPGA, indicated that the resource utilization has decreased by 20-51%, and the designed filter delay based on the modified design methodology for building approximate adders for FPGA-based systems (MDeMAS) adder has improved 10-35%, due to the obtained output quality.
Development of smart machine for sorting of deceased onions
Authors: Digamber Kokate Mahadeo , Ashok Wankhede Vishal , Jagdish Pawar Dhananjay
Published: January 2022

Today, we are thinking to raise Farmer’s income through various means and measures. Implementation of new crop patterns, technology inclusion and promoting the eshtablishment of numerous agro processing industries will play a major role in agriculture sector. The labour issue is also one of the main concerns in many of the agricultural activities. In this paper we propose a technological evolvement in onion detection process, where we apply image processing and sensory mechanism to identify sprouted and rotten onions respectively. This will yield to quick, accurate and prompt supply of goods to the market, irrespective of lack of consistent but costly manpower. The efficiency of this prototype in identifying the sprouted onions with the help of camera is observed to be upto 87% and also the response of Gas sensing system in detecting rooten onions under prescribed chamber dimensions is analysed and obtained encouraging results.
Data transmitted encryption for clustering protocol in heterogeneous wireless sensor networks
Authors: Abood Basim , Faisal Abeer Naser , Hamed Qasim Abduljabbar
Published: January 2022

In this paper, elliptic curves Diffie Hellman-Rivest Shamir Adleman algorithm (ECDH-RSA) is a novel encryption method was proposed, which based on ECDH and RSA algorithm to secure transmitted data in heterogeneous wireless sensor networks (HWSNs). The proposed encryption is built under cheesboard clustering routing method (CCRM). The CCRM used to regulate energy consumption of the nodes. To achieve good scalability and performance by using limited powerful max-end sensors besides a large powerful of min-end sensors. ECDH is used for the sharing of public and private keys because of its ability to provide small key size high protection. The proposed authentication key is generated by merging it with the reference number of the node, and distance to its cluster head (CH). Decreasing the energy intake of CHs, RSA encryption allows CH to compile the tha data which encrypted with no need to decrypt it. The results of the simulation show that the approach could maximize the life of the network by nearly (47%, and 35.7%) compare by secure low-energy adaptive clustering hierarchy (Sec-LEACH and SL-LEACH) approches respectively.
Electrical load forecasting through long short term memory
Authors: Mishra Debani Prasad , Mishra Sanhita , Yadav Rakesh Kumar , Vishnoi Rishabh , Salkuti Surender Reddy
Published: January 2022

For a power supplier, meeting demand-supply equilibrium is of utmost importance. Electrical energy must be generated according to demand, as a large amount of electrical energy cannot be stored. For the proper functioning of a power supply system, an adequate model for predicting load is a necessity. In the present world, in almost every industry, whether it be healthcare, agriculture, and consulting, growing digitization and automation is a prominent feature. As a result, large sets of data related to these industries are being generated, which when subjected to rigorous analysis, yield out-of-the-box methods to optimize the business and services offered. This paper aims to ascertain the viability of long short term memory (LSTM) neural networks, a recurrent neural network capable of handling both long-term and short-term dependencies of data sets, for predicting load that is to be met by a Dispatch Center located in a major city. The result shows appreciable accuracy in forecasting future demand.
Efficiency of hybrid algorithm for COVID-19 online screening test based on its symptoms
Authors: Yusof Mohd Kamir , Hamzah Wan Mohd Amir Fazamin Wan , Rusli Nur Shuhada Md
Published: January 2022

The coronavirus COVID-19 is affecting 196 countries and territories around the world. The number of deaths keep on increasing each day because of COVID-19. According to World Health Organization (WHO), infected COVID-19 is slightly increasing day by day and now reach to 570,000. WHO is prefer to conduct a screening COVID-19 test via online system. A suitable approach especially in string matching based on symptoms is required to produce fast and accurate result during retrieving process. Currently, four latest approaches in string matching have been implemented in string matching; characters-based algorithm, hashing algorithm, suffix automation algorithm and hybrid algorithm. Meanwhile, extensible markup language (XML), JavaScript object notation (JSON), asynchronous JavaScript XML (AJAX) and JQuery tehnology has been used widelfy for data transmission, data storage and data retrieval. This paper proposes a combination of algorithm among hybrid, JSON and JQuery in order to produce a fast and accurate results during COVID-19 screening process. A few experiments have been by comparison performance in term of execution time and memory usage using five different collections of datasets. Based on the experiments, the results show hybrid produce better performance compared to JSON and JQuery. Online screening COVID-19 is hopefully can reduce the number of effected and deaths because of COVID.