bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Pattern Extraction Method of Underwater Acoustic Signal Based on Linear Array
Authors: Yu Miao , He Yutong , Kong Qian
Published: April 2022

Underwater acoustic signal is an important reference data for marine information research. The research and application of underwater acoustic signal have been widely concerned and valued by countries and enterprises. With the needs of modern military development and the development of marine industry, the research and application of underwater acoustic signal will develop faster and faster. In order to better understand marine information, it is necessary to collect seawater acoustic signal data. Aiming at the purpose of recording underwater acoustic signals placed in the ocean for a long time, this study innovates the calibration and recording of large dynamic range of long-time underwater acoustic signals, improves the circuit setting methods such as receiving, amplification, and sampling, designs a large dynamic series of long-time underwater acoustic signal recording device, and adopts the linear array extraction method, so that it can monitor the underwater acoustic biological sound under the condition of low power. It can also monitor the blasting sound of offshore engineering. Hardware circuit design mainly includes main control chip selection, amplification circuit design, filter circuit design, analog-to-digital conversion circuit design, storage circuit design, and some auxiliary circuit design. The fourth chapter introduces the software development process of large dynamic range underwater acoustic signal recorder and mainly introduces the system development tool, system clock working method, real-time clock module working method, underwater acoustic signal acquisition method, data storage scheme design, and the use of FatFs file system. The underwater acoustic signal data is stored on a MicroSD in the form of TXT file; linear array extraction method is used for feature extraction. Compared to other methods, the transformer will suppress DC and low-frequency interference signals, thus achieving high-pass filtering characteristics. Finally, the performance and experimental results of the whole underwater acoustic signal recording device are analyzed. After testing, the underwater acoustic signal recording device designed in this paper works stably and can record underwater acoustic signals with large dynamic range for a long time in low-power mode.
The Efficacy of Rehabilitation Nursing Interventions on Patients with Open Lower Limb Fractures
Authors: Pang Zengfen , Shan Meimei , Li Yuanyuan , Zhang Huan , Huang Amei , Liu Yuping , Li Xianghong
Published: April 2022

Objective. The study aims to analyze the efficacy of rehabilitation nursing interventions on patients with open lower limb fractures. Methods. From June 2020, patients who received RNI (observation group) were included and compared with patients who received routine nursing interventions (control group). The efficacy of different nursing modes was compared with several indicators. Results. One hundred patients were included in this study, 50 in each group. The baseline characteristics were not significantly different between the groups. Regarding the emotional scores, the Self-Rating Anxiety Scale (SAS) score (26.98 vs 43.47), and Distress Management Screening Measure (DMSM) score (8.01 vs 12.85) in the observation group were significantly lower than those in the control group, both

P
<
0.05

. Regarding the postoperative related indexes, the postoperative pain score (10.13 vs 15.53), fracture healing time (6.32 vs 10.86 weeks), and postoperative complications rate (0 vs 12%) in the observation group were all significantly lower than those in the control group, all

P
<
0.05

. Regarding the quality of life scores, the WHOQOL-100 score (94.12 vs 83.13) and PSQI score (6.43 vs 10.36) were both significantly better in the observation group, with both

P
<
0.05

. Conclusion. Patients with open lower limbs who received RNI can help patients reduce postoperative anxiety and stress, promote postoperative rehabilitation and improve their quality of life.
Sensitivity and Bifurcation Analysis of Fuzzy SEIR‐SEI Dengue Disease Model
Authors: Bhuju G. , Phaijoo G.R. , Gurung D.B.
Published: April 2022

Dengue is one of the most serious mosquito‐borne infectious diseases in the world. The number of dengue cases is increasing every year worldwide. In this work, we discuss the fuzzy epidemic SEIR‐SEI compartmental model with the intervention of bed nets and fumigation to describe the transmission dynamics of dengue disease. We consider the biting rate, transmission rate, and recovery rate of the disease as fuzzy numbers. With different amounts of virus loads, we discuss the dynamical behavior of the system. The sensitivity analysis of the model is performed to compare the relative importance of the model parameters and to discuss the importance of fumigation, use of bed nets, and the effectiveness of bed nets. We demonstrate the bifurcation of the equilibrium point of the system with and without fumigation, with and without bed net user, and with different levels of effectiveness of bed nets. Numerical simulations are made to illustrate the mathematical results graphically. The infectivity of the disease depends on the amount of virus loads. The mathematical and simulated result shows that the intervention strategies, use of fumigation and bed nets, reduces the value of the basic reproduction number. Thus, this study suggests that the endemic situation of the disease can be brought under control by the effective use of the combination of fumigation and bed nets.
Improvement and Performance Evaluation of IEEE 802.11p Protocol in Dense Scenario of VANET
Authors: Dou Zufang , Zhou Xingkai , Yang Qiaoli , Yang Liben , Tian Jianwen
Published: April 2022

In vehicle nodes dense networks, the existing IEEE 802.11p protocol cannot guarantee effective data transmission efficiency because of the aggravation of the collision between nodes. In the cluster-based network, to ensure the effective transmission of data packets, this paper proposes an improved IEEE 802.11p protocol combined with TDMA, which is suitable for dense scenarios. At the same time, the performance of the improved mechanism is analyzed by establishing a two-dimensional Markov model, and the performance indexes such as system transmission rate and delay are obtained. Finally, the improved mechanism is simulated and evaluated, and the influence of the number of nodes and cluster heads on the system communication performance is studied. To a certain extent, it can guide the deployment of roadside facilities and the optimization of cluster heads in VANET.
Psoriasis Vulgaris of Blood Heat Syndrome in Plasma Based on Widely Targeted Techniques
Authors: Tang Xueyong , Gong Juan , Jiang Yourang , Chen Xi , Qi Dongwei , Li Xin
Published: April 2022

Traditional Chinese medicine classifies psoriasis (Ps) according to clinical manifestations, and its different clinical manifestations imply the pathogenesis and material evolution basis of Ps, especially biomarkers that are meaningful to identification of Ps, treatment response, and elucidation of the pathogenesis of the disease. This study aims to screen differential metabolites in plasma of psoriasis vulgaris (PV) of blood heat syndrome based on a widely targeted metabolomic technique and to analyze syndrome metabolic markers and metabolic pathways. Forty-five PV patients were recruited, including 21 cases of the blood heat syndrome group (BH-PPG), 24 cases of the non-blood-heat syndrome group (NBH-PPG), and 30 healthy cases of the normal control group (NPG). The UPLC-MS/MS detection platform, a self-developed database, and multivariate statistical analysis were applied to investigate the plasma metabolic differences. The biomarkers related to blood heat syndrome were screened using the principal component analysis method. A total of 479 metabolites were detected in the three groups of plasma samples; 72 different metabolites were sorted out in the BH-PPG/NPG group, 82 in the NBH-PPG/NPG group, and 8 in the BH-PPG/NBH-PPG group. Differential metabolites mainly consist of metabolites of organic acids, amino acids, carbohydrates, and nucleotides. Multiple metabolites ginkgolic acid, pyrroloquinoline quinone, L-aspartic acid, and citramalic acid were expected to be the potential biomarkers of blood heat syndrome PV. The formation and evolution processes may be associated with disorders and regulation of metabolic pathways, ferroptosis, carbon metabolism, and purine metabolism.
Sturge–Weber Syndrome with Bilateral Port-Wine Stain
Authors: Pathak Bishnu Deep , Sharma Shriya , Adhikari Aakriti , Simkhada Nabin , Ghimire Bhuwan , Aryal Nirjala
Published: April 2022

Sturge–Weber syndrome is a rare congenital neurocutaneous disorder characterized by dermatological, ophthalmological, and neurological manifestations. It occurs due to abnormal persistence of embryonic vascular plexus. Here, we describe a case of four years seven months female with seizures, developmental delay, intellectual disability, and bilateral port-wine stain diagnosed as type I (classical) Sturge–Weber syndrome. The ophthalmological evaluation was unremarkable. Electroencephalogram showed abnormalities suggestive of a structural lesion in the right cerebral hemisphere. CT scan of the head revealed volume loss of right brain parenchyma with linear, cortical, as well as subcortical calcifications more evident in the right hemisphere. The child should be followed up regularly until adulthood for ophthalmological evaluation, recurrence of seizures, and other manifestations of this disorder.
COVID-19 mRNA Vaccine-Associated Myocarditis Presenting as STEMI in a 48-Year-Old Male
Authors: Dlewati Mohammad , Park Kyeeun , Rawat Saumya , Conte Jorge , Bhadha Kashmira
Published: April 2022

Myocarditis has been recognized as a rare complication of coronavirus disease 2019 (COVID-19) mRNA vaccinations. Young adult and adolescent

males
<
30

years of age are the most commonly affected group, with decreased incidence with older age. This is a case of a 48-year-old male who presented with chest pain and EKG findings of STEMI shortly after receiving the second dose of the Moderna COVID-19 mRNA vaccine. Emergent left heart catheterization revealed normal coronaries. Subsequently, the patient had rapid resolution of his symptoms and improvement in serum markers. The exact etiology factors to this new and rare phenomenon are yet to be fully understood. This patient did have a history of previous viral myocarditis 7 years ago; however, it remains unclear if this could be a predisposing factor to the development of mRNA vaccine-associated myocarditis.
Investigation of the Ultrasonic Stimulation Performance on Permeability Enhancement in Coal Seam: Field Tests and In Situ Permeability Evaluation
Authors: Fei Jinbiao , Liu Peng , Wang LongKang , Zhong Fangxiang , Xie Chenglong , Jiang Yongdong , Li Quangui , Liu Mingyang
Published: April 2022

Power ultrasonic-assisted reservoir modification is a promising technique for enhanced coalbed methane recovery. However, the in-site performance of ultrasound-assisted CBM production has not yet been revealed. In the current study, the in situ antireflection test was conducted with high-power ultrasound ~18 kW in underground coal seam, and the antireflection performance was investigated by measuring the borehole drainage gas data in the field test zone, and then, the in situ permeability change of the target coal seam was evaluated numerically. The result shows that, within 40 days’ drainage after ultrasonic antireflection in coal seam, the average gas concentration of single borehole in the experimental group increased by 81.4 %~227.3% than that in control group, the average borehole gas flowrate has a 20%~106% improvement over the control group, and the pure methane production in single borehole increased by about 3.83 times. The permeability inversion indicates that the in situ coal seam permeability has increased by at least 2.36 times after the ultrasound stimulation within the range of 8 m from the ultrasound source.
Iatrogenic Fistula in Hemodialysis Patients: An Alternative Approach to Thrombectomy of Arteriovenous Graft (AVG) Thrombosis
Authors: Dukkipati Ramanath , Benjo Alexandre M. , Jimenez Antonio , Lukitsch Ivo , Echefu Gift C. , Kumbala Damodar R.
Published: April 2022

Arterial venous (AV) fistula is the first choice of vascular access to perform hemodialysis in the vast majority of suitable patients followed by arteriovenous grafts (AVG). An iatrogenic fistula can occur when a second vein adjacent to the graft is punctured and the needle traverses the vein. In normal circumstances, this has no clinical repercussions and does not need correction, and in prior reports, it has helped to maintain the patency of partially occluded grafts but rarely can lead to thrombosis of the graft due to reduced flow and pressure in the graft lumen. We report here what we believe is a unique approach to perform thrombectomy of an occluded graft in a 71-year-old patient on hemodialysis to avoid placement of tunneled hemodialysis catheters and complications associated with catheters. When the outflow of basilic vein in this patient was thrombosed and could not be traversed, we successfully used an iatrogenic fistula as main outflow vein for the graft and created an alternative vein for drainage thus avoiding placement of a tunneled catheter for hemodialysis.
Investigation of Fire‐Fighting Evacuation Indication System in Industrial Plants Based on Virtual Reality Technology
Authors: Tang Zhi , Zhang Die , Du Jiajing , Bao Wenlan , Zhang Weiran , Liu Jiaqin
Published: April 2022

The fire safety of industrial buildings has always been a great concern. An excellent evacuation indicator system can guide the personnel to escape quickly, thus reducing the casualties. In this study, we present a virtual simulation fire scene based on virtual reality to explore the impact of different colors, brightness values, and flashing frequencies on escape time in case of fire emergencies. The presented scene can help shorten the time required for evacuation in an industrial plant by identifying the escape path under the fire and smoke environment and improve the escape efficiency. The results show that the green color is the most suitable color for evacuations; the escape efficiency increases with an increase in brightness, and there is no significant difference between the escape times under high and medium brightness; the evacuation time decreases with an increase in the flicker frequency. Based on these experimental results, the fire evacuation indicating system is designed. A virtual reality verification experiment is used to compare the escape efficiency of the improved design with an original factory’s indicating system. The verification results show that the improved scheme reduces the evacuation time and significantly improves the psychological stress on the evacuees. This work provides a theoretical basis for safe evacuation designs.
Exercise Prescription Intervention Rehabilitation Suggestions for Fatty Liver Patients
Authors: Wan Tian , Hong Kun-Da , Lu Si-Yu
Published: April 2022

In this study, the exercise prescription intervention rehabilitation suggestions for fatty liver patients were summarized as follows: first, basic exercises (brisk walking and jogging.), sports (swimming, badminton, and cycling), traditional Chinese medicine exercises (Taichi boxing and eight-section brocade), the aim of which is to improve overall physical strength and endurance of the body; second, exercise intensity, duration, and frequency; third, exercise precautions; and fourth, exercise prescription selection and suggestion.
Tool Path Generation Algorithm Based on Rough Machining of Jade Carving Surface
Authors: Huang Xiong , Li QingLan , Chen JieLie
Published: April 2022

To improve the quality of tool paths in surface machining, different machining requirements are considered in the tool path generation algorithm. In the traditional tool path generation algorithm, due to the lack of a unified mathematical calculation framework, these requirements often need to be considered separately, but they often compete with each other, so that different requirements cannot be satisfied at the same time and the tool path cannot achieve the optimal. To resolve this issue, an extensive tool path generation algorithm framework for arbitrary surfaces was proposed. The proposed algorithm transforms the tool path calculation framework into a constrained functional optimization problem by establishing an optimization function based on the potential energy field and an inequality function based on the gradient field in the machining area. By establishing finite element approximation, the functional optimization problem is transformed into a numerical optimization problem, which reduces the difficulty of solving. According to the machining requirements of die surface such as tool path smoothness, line width constraint and cutting direction constraints were transformed into the constraints of potential energy field isopotential line, and the method of generating reciprocating cutter path and cutter contact path isosection cutter path was proposed by optimizing the method. It is evident from the simulation and machining experiments results that continuous and smooth tool paths can be generated by using this algorithm, and machining quality and machining efficiency can be improved. By adding different machining requirements into the framework, a tool path with different optimization objectives can be generated.
Dynamics of Chinese Export Comparative Advantage: Analysis Based on RSCA Index
Authors: Wang Li , Sun Tian-Le , Cai Zheng-Qun
Published: April 2022

Based on RSCA index, using kernel density estimation, Markov chain transition probability matrix, and survival analysis method, this paper analyzes the dynamics of Chinese export comparative advantage from 2001 to 2020 and draws the following conclusions. Firstly, after 20 years of export trade development, although the comparative advantage of a few commodities of China has weakened and comparative disadvantage has increased, the comparative advantage of most commodities is improving, and the overall distribution of comparative advantage remained unchanged. Secondly, the stability of Chinese comparative advantage is higher than liquidity, and liquidity as a whole shows a good trend. In addition, the viability of Chinese commodities with comparative advantage has performed well in the past 20 years. Therefore, China should optimize export mode based on comparative advantage.
Exploration of the Path of Innovation and Entrepreneurship Education for College Students from the Perspective of Mental Health Education
Authors: Wang Beibei
Published: April 2022

Innovation and entrepreneurship education must be based on quality education to train more innovative and high-energy talents, so as to achieve mutual promotion between national development and education reform. The level of college students’ psychological quality is the key factor that determines whether they can successfully start a business and succeed. Entrepreneurship requires college students to have the courage and boldness to prevent risks and have the courage and tolerance to face all adverse consequences in the process of entrepreneurship. With the reform of education and teaching in the new era, it has become an inevitable trend to integrate mental health education with entrepreneurship and innovation education in colleges and universities. The development of the country has a greater demand for talents, and colleges and universities are also an indispensable way for talent development and innovation and entrepreneurship education. Combined with the educational practice of contemporary college students, this paper discusses how to promote the integration of mental health education and innovation and entrepreneurship. The educational concept must be innovated in the footsteps of the times so that the two can be organically combined, which is beneficial to the educational cause and can achieve efficient and sustainable development.
Intelligent Sensing and Computing in Wireless Sensor Networks for Multiple Target Tracking
Authors: Zou Xinyu , Li Linling , Du Hao , Zhou Longyu
Published: April 2022

With sixth generation (6G) communication technologies, target sensing can be finished in milliseconds. The mobile tracking-oriented Internet of Things (MTT-IoT) as a kind of emerging application network can detect sensor nodes and track targets within their sensing ranges cooperatively. Nevertheless, huge data processing and low latency demands put tremendous pressure on the conventional architecture where sensing data is executed in the remote cloud and the short transmission distance of 6G channels presents new challenges into the design of network topology. To cope with the above difficulties, this paper proposes a new resource allocation scheme to perform delicate node scheduling and accurate tracking in multitarget tracking mobile networks. The dynamic tracking problem is formulated as an infinite horizon Markov Decision Process (MDP), where the state space that considers energy consumption, system responding delay, and target important degree is extended. A model-free reinforcement learning is applied to obtain satisfied tracking actions by frequent iterations, in which smart agents interact with the complicated environment directly. The performance of each episode is evaluated by the action-value function in search of the optimal reward. Simulation results demonstrate that the proposed scheme shows excellent tracking performance in terms of energy cost and tracking delay.
An Informatization Model of Scientific Computing for Mining Association Rules Used in Teaching Management Evaluation
Authors: Chen Chen
Published: April 2022

The management information system is a kind of information-based, people-oriented, and socialized service as its purpose. It adopts advanced technology to realize the management of teachers, students, and other related personnel while effectively improving the quality of teaching. This article first analyzes the overview of data mining technology. Secondly, it analyzes the related algorithms of association rules. Finally, this article introduces the demand analysis of the university teaching quality evaluation system based on the scientific calculation of association rules. According to the demand analysis results, the system module and the corresponding submodule function modules are determined, and finally, the system architecture model is designed. Experimental results show that this model is useful for providing the effectiveness of information management.
Efficacy of the Synbiotic Supplementation on the Metabolic Factors in Patients with Metabolic Syndrome: A Randomized, Triple-Blind, Placebo-Controlled Trial
Authors: Rahimi Fatemeh , Pasdar Yahya , Kaviani Mojtaba , Abbasi Soheil , Fry Hillary , Hekmatdoost Azita , Nikpayam Omid , Sohrab Golbon , Rezaei Mansoaur , Nachvak Seyed Mostafa , Mohammadi Reza
Published: April 2022

Background. Metabolic syndrome is overwhelmingly increasing and is a significant risk factor for cardiovascular disorder, so effective treatment strategies are considered high priority. This study aimed to determine the effects of synbiotic supplementation on metabolic factors in patients with metabolic syndrome. Methods. In this triple-blind, randomized, placebo-controlled, clinical trial, 108 participants were divided into two groups to receive synbiotic supplementation or placebo for 12 weeks. All participants were also educated about maintaining a healthy lifestyle and consuming low-calorie nutritious meals, along with dietary intake and physical activity monitoring. Anthropometric measures, blood pressure, glycemic indices, lipid profile, hepatic enzymes, and hs-CRP were evaluated at the baseline and end of the trial. Results. Synbiotic supplementation significantly reduces fasting blood glucose (FBG) levels in the intervention group versus placebo group [−14.69 ± 15.11 mg/dl vs. −8.23 ± 7.90 mg/dl;

p
=
0.007

], but there was no difference between groups in other metabolic factors. Conclusions. These findings suggest that synbiotic supplementation while following a healthy lifestyle and nutrition improved FBG in patients with metabolic syndrome.
Continuous Use Intention of Mobile Social Network Information Service Based on User Behavior Perception
Authors: Lv Jingjing , Wang Nan , Ye Yin , Li Wenhe
Published: April 2022

In order to improve the willingness of continuous use of mobile social network information services, this study combines user behavior perception to analyze the continuous use of mobile social network information services and proposes a data coverage optimization strategy based on service quality perception. Furthermore, this study measures participants’ regional preferences based on the duration of participants in the perceptual region and the number of historical perceptual tasks completed on the perceptual region. In addition, this study designs a perceptual data coverage optimization algorithm to optimize the perceptual data coverage and ensure the real-time validity of the perceptual data. Through algorithm research and systematic evaluation, it can be seen that the continuous use willingness system of mobile social network information service based on user behavior perception can basically meet the actual needs.
Nursing Analysis Based on Medical Imaging Technology before and after Coronary Angiography in Cardiovascular Medicine
Authors: Li Qin , Yuan Yangyang , Song Guangyu , Liu Yonghua
Published: April 2022

With the advancement of technology, medical imaging technology has been greatly improved. This article mainly studies the nursing before and after coronary angiography in cardiovascular medicine based on medical imaging technology. This paper proposes a multimodal medical image fusion algorithm based on multiscale decomposition and convolution sparse representation. The algorithm first decomposes the preregistered source medical image by NSST, takes the subimages of different scales as training images, and optimizes the subdictionaries of different scales; then convolution and sparse the subimages on each scale encoding to obtain the sparse coefficients of different subimages; secondly, the combination of improved L1 norm and improved spatial frequency (novel sum-modified SF (NMSF)) is used for high-frequency subimage coefficients, and the fusion of low-frequency subimages improved the rule of combining the L1 norm and the regional energy; finally, the final fused image is obtained by inverse NSST of the fused low-frequency subband and high-frequency subband. Experimental analysis found that the bifurcation angle has nothing to do with the damage of the branch vessels after the main branch stent is placed. The bifurcation angle greater than 50° is an independent predictor of MACE after stent extrusion for bifurcation lesions. Experimental results show that the proposed method has good performance in contrast enhancement, detail extraction, and information retention, and it improves the quality of the fusion image.
An Algorithm for Optimal Allocation of Water Resources in Receiving Areas Based on Adaptive Decreasing Inertia Weights
Authors: Li Fei , Zhang Guang , Hu Shaohua
Published: April 2022

As the biggest rigid constraint for high-quality economic and social development, how to improve the carrying capacity of water resources, realize the stable and coordinated development of water resources-ecological environment-economic and social integrated system, and provide water resources guarantee for regional transformation and upgrading development is a major issue in the current social development. This paper firstly selects the minimum loss of water resources allocation as the objective function for mathematical modelling, chooses the particle swarm algorithm as the objective algorithm, and proposes a particle swarm algorithm based on the standard particle swarm algorithm with improved adaptive decreasing inertia weights. It is a time-varying process for the inertia weights and acceleration factors of the standard particle swarm algorithm so that they change nonlinearly with the continuous advancement of the iterative optimization seeking process, thus improving the convergence accuracy and speed of the algorithm and reducing the risk of falling into local optimum solutions at a later stage. Finally, based on the actual installation of the current water distribution reactive power compensation device, the shunt distributor set is selected as the reactive power compensation device, sensitivity analysis is applied to the load nodes for sensitivity calculation, and the nodes requiring compensation are connected to the shunt distributor set for flexible and optimal configuration. The stronger local search capability of the inertia weight adaptive decreasing algorithm is utilized in the generation process of new particles to perform a local search operation for particles, which avoids premature convergence and improves the search performance of the algorithm. To realize the rational allocation of water resources, a multiobjective receiving area water resources optimization allocation model with maximum water supply benefit, minimum regional water shortage, and minimum pollutant emission is established.
The Safety of Outdoor Spaces in Cold Communities Based on the Concept of Health Promotion
Authors: Pang Chunyu , Guan Zhen
Published: April 2022

With the rapid development of China’s urbanization process, more and more people are pouring into cities, and this wave has inevitably caused urban housing shortages. In order to meet the living needs of citizens, a large number of communities with high housing density have emerged, resulting in many hidden safety hazards in the outdoor space of the community, forming an unhealthy community space environment. Therefore, it is imperative to build a health-promoting safety community. The thesis is aimed at studying the safety of outdoor spaces in cold communities, meeting the safety needs of community residents, and, from the evaluation of four levels of space accessibility, space identifiability, space privacy, and community service, judging the space. The main influencing factors of safety, according to the influencing factors, put forward corresponding planning strategies to provide theoretical support for the construction of safe cold community outdoor space. This paper provides a new idea for the health promotion research of community outdoor space planning, which can not only make the community outdoor environment full of sense of security but also be conducive to the sustainable development of health-promoting communities.
The CAD Digital Automation Analysis of Costume Designing Based on Immersive Virtual Reality Models
Authors: Zheng Pan
Published: April 2022

With the development of the social economy, costume design is becoming more and more trendy and diversified, which can better reflect cultural and geographical elements. However, traditional costume design often causes excessive waste of resources and time, which is an issue worthy of attention and value. In view of these limitations, an immersive virtual reality model is introduced in this paper. Digitization is realized based on CAD through combing the business logic involved in the costume design process, and virtual fitting and virtual sewing are realized according to virtual reality, and the effect of virtual dressing is viewed and adjusted according to the corresponding feedback, saving cost and time. The simulation experiment research shows that the immersive virtual reality model is effective and can effectively achieve the effective improvement of intrinsic motivation and self-efficacy. Meanwhile, it has a good effect in the assessment of costume design learning transfer and can effectively support the analysis of CAD digital automation.
Deep Possibilistic
C
-means Clustering Algorithm on Medical Datasets
Authors: Gu Yuxin , Ni Tongguang , Jiang Yizhang
Published: April 2022

In the past, the possibilistic

C

-means clustering algorithm (PCM) has proven its superiority on various medical datasets by overcoming the unstable clustering effect caused by both the hard division of traditional hard clustering models and the susceptibility of fuzzy

C

-means clustering algorithm (FCM) to noise. However, with the deep integration and development of the Internet of Things (IoT) as well as big data with the medical field, the width and height of medical datasets are growing bigger and bigger. In the face of high-dimensional and giant complex datasets, it is challenging for the PCM algorithm based on machine learning to extract valuable features from thousands of dimensions, which increases the computational complexity and useless time consumption and makes it difficult to avoid the quality problem of clustering. To this end, this paper proposes a deep possibilistic

C

-mean clustering algorithm (DPCM) that combines the traditional PCM algorithm with a special deep network called autoencoder. Taking advantage of the fact that the autoencoder can minimize the reconstruction loss and the PCM uses soft affiliation to facilitate gradient descent, DPCM allows deep neural networks and PCM’s clustering centers to be optimized at the same time, so that it effectively improves the clustering efficiency and accuracy. Experiments on medical datasets with various dimensions demonstrate that this method has a better effect than traditional clustering methods, besides being able to overcome the interference of noise better.
Optimization of Image Quality and Organ Absorbed Dose for Pediatric Chest X-Ray Examination: In-House Developed Chest Phantom Study
Authors: Pengpan Thanyawee , Rattanarungruangchai Natch , Dechjaithat Juthathip , Panthim Phawinee , Siricharuwong Puntarika , Prapan Ausanai
Published: April 2022

Purpose. This study aimed to identify proper exposure techniques to maintain optimal diagnostic image quality with minimum radiation dose for anteroposterior chest X-ray projection in pediatric patients. Methods. Briefly, an in-house developed pediatric chest phantom was constructed. Next, nanodot OSLDs were used for organ absorbed dose measurement and placed in the lung area, and the phantom was exposed to various exposure techniques (ranging from 50 to 70 kVp with 1.6, 2, and 2.5 mAs). After that, the phantom was used to assess image quality parameters, including SNR and CNR. Two radiologists assessed the subjective image quality using a visual grading analysis (VGA) technique. Finally, the figure of merit (FOM) was analyzed. Results. The developed phantom was constructed successfully and could be useful for dose measurement and image quality assessment. The absorbed dose varied from 0.009 to 0.031 mGy for the range of exposure techniques used. SNR and CNR showed a gradually increasing trend, while kVp and mAs values were increased. The highest kVp (70 kVp) produced the highest SNR and CNR, exhibiting a significant difference compared with 50 and 60 kVp (

P
<
0.05

). The overall VGA score was 3.2 ± 0.3, and the low kVp technique demonstrated better image quality compared with the reference image. Conclusion. The optimized exposure technique was identified as 60 kV and 2.5 mAs, indicating the highest FOM score. This work revealed practicable techniques that could be implemented into clinical practice for performing pediatric chest radiography.
Paracentral Acute Middle Maculopathy and Central Retinal Venous Occlusion following Electrical Injury
Authors: Khazaei Sahel , Motamed Shariati Mehrdad , Shoeibi Naser , Arjmand Mohammad , Hosseini Seyedeh Maryam
Published: April 2022

Purpose. To report a case of central retinal vein occlusion (CRVO) and paracentral acute middle maculopathy (PAMM) following electric shock injury. Case Description. A 45-year-old male presented with a significant painless decreased vision in the right eye following an electrical injury of the right hand in his workplace. The best-corrected visual acuity (BCVA) of the right eye was 20/40. Funduscopic examination of the right eye revealed diffuse superficial and deep intraretinal hemorrhages, mild venous tortuosity, and an area of the pale retina. Optical coherence tomography (OCT) demonstrated hyperreflective band-like lesions in the middle retinal layers. Patchy areas of vascular flow void in deep capillary plexus seen in OCT angiography of the right eye were compatible with PAMM. Fluorescein angiography of the right eye was indicative of delayed venous filling suggestive of CRVO. The left eye was completely normal on exam and imaging. Conclusion. This report illustrates the occurrence of CRVO associated with PAMM following electric shock injury. Electrical injury leads to a wide range of retinal manifestations. Clinicians need to pay attention to any hyperreflectivity and thinning of middle retinal layers in OCT in cases with the presentation of sudden visual loss following electrical injuries.
Activation of TGR5 Ameliorates Streptozotocin-Induced Cognitive Impairment by Modulating Apoptosis, Neurogenesis, and Neuronal Firing
Authors: Mu Ronghao , Wu Xian , Yuan Danhua , Zhao Jiajia , Tang Susu , Hong Hao , Long Yan
Published: April 2022

Takeda G protein-coupled receptor 5 (TGR5) is the first known G protein-coupled receptor specific for bile acids and is recognized as a new and critical target for type 2 diabetes and metabolic syndrome. It is expressed in many brain regions associated with memory such as the hippocampus and frontal cortex. Here, we hypothesize that activation of TGR5 may ameliorate streptozotocin- (STZ-) induced cognitive impairment. The mouse model of cognitive impairment was established by a single intracerebroventricular (ICV) injection of STZ (3.0 mg/kg), and we found that TGR5 activation by its agonist INT-777 (1.5 or 3.0 μg/mouse, ICV injection) ameliorated spatial memory impairment in the Morris water maze and Y-maze tests. Importantly, INT-777 reversed STZ-induced downregulation of TGR5 and glucose usage deficits. Our results further showed that INT-777 suppressed neuronal apoptosis and improved neurogenesis which were involved in tau phosphorylation and CREB-BDNF signaling. Moreover, INT-777 increased action potential firing of excitatory pyramidal neurons in the hippocampal CA3 and medial prefrontal cortex of ICV-STZ groups. Taken together, these findings reveal that activation of TGR5 has a neuroprotective effect against STZ-induced cognitive impairment by modulating apoptosis, neurogenesis, and neuronal firing in the brain and TGR5 might be a novel and potential target for Alzheimer’s disease.
Evolution of Oncology and Palliative Nursing in Meeting the Changing Landscape of Cancer Care
Authors: Zhou Kaiping , Fu Jing
Published: April 2022

Nursing is a vital health profession. In almost all clinical and hospital settings, nurses offer primary palliative care. Nurses are recognized for their strong philosophy of care for a wide spectrum of disorders. No matter the sickness, condition, or clinical situation, palliative care is considered essential in nursing practice. Palliative care nursing is the provision of palliative care services to cancer patients and their families, regardless of whether cancer can be cured or not. A large body of evidence shows that early palliative care nursing integration improves the quality of life and survival of cancer patients. Due to the intricacy of cancer, the landscape of cancer care is shifting. Cancer is a life-threatening disease with a high mortality rate. Oncology nurses’ skills and experience are vital in providing specialized patient care and fulfilling the needs of patients and their families. The current study examines the shifting environment of palliative care nursing in oncology. However, new palliative care nursing approaches are required to adapt to the evolving cancer scenario.
Effect and Mechanism of Superplasticizers on Performance of Ultrafine Sulfoaluminate Cement-Based Grouting Materials
Authors: Zhang Jianwu , Wang Xiao , Jin Biao , Zhang Xiaoting , Li Zhixin , Guan Xuemao
Published: April 2022

A novel ultrafine sulfoaluminate cement-based grouting material (USCBGM) has been prepared in the previous research, which had better engineering application performance, such as fast setting and hardening, fast strength development, stone body microexpansion, and other properties compared with the traditional ultrafine cement. However, as an ultrafine particle material, it is also necessary to select an appropriate superplasticizer to improve the fluidity of USCGBM paste. Based on this, the effects of polycarboxylic acid (PCE) and naphthalene (FDN) superplasticizers on the performance of USCBGM were studied in this study. The results showed that both PCE and FDN can effectively improve the initial fluidity of USCBGM paste, but the modification effect of PCE was better. The incorporation of PCE had little effect on the setting time of USCBGM paste. Unlike PCE, the addition of FDN can significantly prolong the setting time of paste. XRD, DSC-TG, and SEM results showed the addition of PCE significantly increased the amount of ettringite hydration products in the hardened paste at the early hydration stage. Correspondingly, the hourly strength of hardened paste increased with the addition of PCE. Similar to PCE, the addition of FDN can also promote the formation of more ettringite hydration products at the early hydration stage. However, the difference is that the addition of FDN can lead to the cluster distribution of ettringite crystals, which significantly affected the crystal skeleton effect of ettringite and markedly reduced the early strength of hardened paste.
A Big Data Analysis Algorithm Designed for the Interactive Platform of the Intelligent Sensor Information System
Authors: Xiao Yitao , Zhang Songlin , Shah Mohd Asif
Published: April 2022

In order to improve the interactive sharing ability of the medical information system and improve the adaptability of the medical file access and management, a big data analysis algorithm designed for the intelligent sensor information system interaction platform is proposed. Using the information collection, statistics, and summary in the archives, adopt the statistical method analysis, optimize the medical archives intelligent sensor information adaptive scheduling and access algorithm, establish the medical information interactive sharing database, design the medical information system interactive sharing platform under the B/S structure system, query and update the database management of the sharing platform, and complete the software development of the medical archives intelligent sensor information embedded interactive sharing platform. Simulation results show the recall rate of 0.82 to 1, much higher than the other two comparison methods, with better data mining performance. Therefore, the intelligent sensor medical information system interaction platform based on big data analysis can improve the science and standardization of the medical business.
Classification Algorithm for Library Electronic Documents Based on Continuous Attribute
Authors: Zeng Jin
Published: April 2022

The automatic classification of document data will occupy an increasingly important position in digital libraries. Generally, the kernel method based on support vector machine is used to classify literature data on the standard test set, which has some shortcomings. In order to solve these problems, vocabulary expansion is used to preprocess the document vector to obtain a small but precise, orthogonal, and unambiguous new document vector; the document vector is sorted according to semantics to improve the access and calculation speed; the document is mapped to Lz with the help of wavelet kernel space for document classification. This paper analyzes the existing continuous attribute discretization methods in detail, discusses how to reduce the loss of information in the discretization process, and proposes a low-frequency discretization (LFD) algorithm based on the attribute low-frequency region. This method effectively reduces data loss by setting the segmentation point in the attribute interval with lower frequency, and through the research and analysis of the existing association rule mining algorithm, this paper combines low-frequency discretization, weighted multiple minimum support, and full confidence, and a weighted multiple minimum support association rule mining algorithm based on low-frequency discretization (WM-SamplingHT) is proposed. The algorithm first uses the low-frequency discretization algorithm to discretize the continuous attributes, then sets the respective weights and minimum support for the data items when mining frequent itemsets, removes the false patterns through the full confidence, and then obtains cleaner frequent itemsets. Using the real classification data of China Academic Journals Network, it is verified from the perspectives of abstract information and full-text documents. The results show that this method is superior to the nuclear method and has certain theoretical research and practical applications.
Mechanical Loading and Tribological Studies on Boron Carbide (B4C) and Lead (Pb) Particles Dispersed Epoxy-Based Multilayered Composites
Authors: Vignesh S. , Jappes J. T. Winowlin , Adam Khan M. , Varol Temal
Published: April 2022

The study aims in the development of functionally graded epoxy-based layered composites dispersed with B4C and lead particles. The development route adopted for the composites is a novel route called layered molding and curing. Various compositions of single and trilayered composites were prepared through the abovementioned route. The samples prepared were subjected to mechanical and tribological studies, and the results were reported in this article. It is found that the mechanical properties of the single-layered composites consisting of 20% lead and 20% B4C show superior characteristics than those of the samples with increased addition of lead. However, the trilayered samples with lead core showcased excellent mechanical properties. On the other hand, the wear rate and mass loss of the trilayered samples with B4C cladding show minimum wear rate than the samples with lead cladding. Furthermore, the coefficient of friction of the samples also showcases the better performance of single-layered samples with 20% lead. The worn surface analysis done through scanning electron microscopy and stereo zoom microscopy reveals the reason for the low specific wear rate of 20% lead sample as the self-hindrance of wear debris evolved during the wear study.