bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring the Potential of Using Privately-Owned, Self-Driving Autonomous Vehicles for Evacuation Assistance
Authors: Shirley Thomas , Padmanabha Bhavya , Murray-Tuite Pamela , Huynh Nathan , Comert Gurcan , Shen Jiayun
Published: September 2021

The potential use of privately-owned autonomous vehicles (AVs) for the evacuation of carless households threatened by hurricanes is underexplored. Based on 518 original survey responses from South Carolina (SC) residents, an ordered logistic model was developed to determine the willingness of individuals to temporarily share their AVs for evacuation without their presence. The model results indicated that respondents who (a) were unemployed, (b) had experience giving disaster relief assistance, (c) took regular religious trips and were more comfortable with AVs (d) delivering packages and (e) being purchased and shared for income in the next five years were more willing to share for evacuation. Respondents who (a) were aged 65 or older, (b) had income below

$
15,000

per year, and (c) had less than two social media accounts were less willing to share. The model was applied to a state-wide synthetic population to simulate a disaster scenario in SC under different AV market penetration (

p

) scenarios to determine the potential use of AVs for evacuation assistance. Monte Carlo simulation results indicated that the percentage of households that can be evacuated increased linearly with respect to

p

, by

5.5
%

for every

1
%

increase in

p

until

p

was nearly

20
%

. When

p

was

30
%

or higher, the number of shared AVs was sufficient to evacuate all households in need. Therefore, in SC, if privately-owned AVs are widely available, they could serve as a viable alternative or be used to supplement the traditional evacuation programs that rely on buses.
Study on Spectrum Allocation and Optimization of Wireless Communication Networks Based on SFOA
Authors: Zhang Yu , Li Jianying
Published: September 2021

Wireless communication network spectrum is a limited resource. With the rapid increase of mobile communication services in recent years, traditional spectrum allocation methods are only based on a fixed spectrum allocation strategy, which often results in uneven and wasteful resource allocation. Therefore, spectrum allocation and the optimization problem need to be solved urgently. The application of semantic mobile computing in the Internet of Things and the research of emerging bionic models provide new ideas for this problem. In order to solve the problem of spectrum optimization and allocation, this paper proposes an optimization algorithm that simulates fisherman fishing to reasonably arrange the allocation and optimization of wireless network spectrum. This paper selects SFOA and the other two algorithms, designs experimental functions to perform calculations separately, obtains relevant data indicators, and uses comparative analysis to analyze. The analysis shows that in terms of performance, the success rate of SFOA is higher than that of PSO, and the success rate of the two function calculations has reached 100%. In the signal‐to‐noise ratio analysis, when the signal‐to‐noise ratio is ‐4 dB, the throughput of GPSO reaches the maximum value of 0.17, the throughput of PSO reaches the maximum value of 0.56, and the throughput of SFOA reaches 1, which shows that SFOA is adopted. The stability and accuracy of the algorithm are higher than the other two algorithms, and in the case of high signal‐to‐noise ratio, the advantages of the SFOA algorithm are also more obvious. This shows that the use of this algorithm will be very helpful for spectrum allocation and optimization. Because SFOA has high stability and accuracy, through reasonable adjustment and improvement, it can make good use of spectrum allocation and optimization. Chinese wireless communication network and the development of Internet of Things technology are of great significance.
Analysis of Clinical Characteristics and Psychoacoustic Indexes in Different TCM Syndromes of Idiopathic Tinnitus
Authors: Niu Yan , Ning Jinmei , Zhao Shubo , Fang Chao
Published: September 2021

Objective. To explore the differences in clinical characteristics and psychoacoustic indexes of various traditional Chinese medicine (TCM) syndromes in patients with idiopathic tinnitus. Methods. 312 patients with idiopathic tinnitus in our hospital from December 2017 to March 2020 were selected; divided into the wind evil invasion group (n = 61), the liver fire disturbance group (n = 69), the phlegm fire stagnation group (n = 42), the spleen and stomach weakness group (n = 48), and the kidney essence loss group (n = 92) according to the medical syndrome type and the detailed medical history; and clinical characteristics of patients in each group were compared. Results. The kidney essence loss group’s age and course of disease were older and longer than those of other syndrome groups, and the wind evil invasion group’s disease course was shorter than the liver fire disturbance, phlegm fire stagnation, and spleen and stomach weakness groups (

P
<
0.05

). The PSQI score of all patients was higher than 7 points, but there was no obvious difference between the groups (

P
>
0.05

). The SAS score of the liver fire disturbance and the phlegm-fire stagnation groups was higher than that of the wind evil invasion, the spleen and stomach weakness, and the kidney essence loss groups, and the SDS score of the spleen and stomach weakness and the kidney essence loss groups was higher than that of the wind evil invasion, the liver fire disturbance, and the phlegm and fire stagnation groups (

P
<
0.05

). The kidney essence loss group’s total hearing loss rate (92.39%) was higher than the other syndrome groups, and the wind evil invasion group’s total hearing loss rate (8.19%) was lower than the other syndrome groups (

P
<
0.05

); the low to medium frequency tone of tinnitus’s rate in the wind evil invasion group, liver fire disturbance group, and phlegm fire stagnation group was higher than the spleen and stomach weakness group and the kidney essence loss group, but the high frequency tone of tinnitus’s rate was opposite. The tinnitus loudness in these groups was higher than the spleen and stomach weakness and kidney essence loss group (

P
<
0.05

). Conclusion. In addition to the wind evil invasion type, most tinnitus patients may have different levels of psychological disorders. So, in the treatment of idiopathic tinnitus, in addition to the disease itself, paying more attention to the psychological status of the patient is one better therapeutic method. Besides, clinical characteristics and the psychoacoustic indexes of patients with idiopathic tinnitus have a certain correlation with the TCM syndromes.
Investigation on Deformation of the Flex-Gear and Optimization Design of Compound Curve Cam Wave Generator with Spiral
Authors: Wang Shuyan , Zhang Yudelong , Mao Shiteng , He Yu
Published: September 2021

The deformation shape and mechanical property of flex-gear greatly affect the meshing accuracy and service life of harmonic drive, and the stress wave generator plays a decisive role in the deformation shape and mechanical properties of the flexible gear. The investigation on deformation of the flex-gear around the major axis is developed with comparative analysis with three kinds of traditional and commonly used wave generators. Based on the influence of the deformation around the major axis on meshing accuracy and service life, the eccentric arc cam wave generator improved by transition curve for controlling the deformation shape and reducing the deformation stress is developed. Considering the achievable flexibility of spiral with smooth curvature change rate, the contour of the compound curve cam wave generator with arc and spiral is proposed. The deformation of the flex-gear under the influence of this compound curve cam and the standard elliptic cam is further comparative analyzed. The conclusion shows that this compound curve cam can indeed reduce the deformation stress in the meshing area by increasing the meshing width, and correct deformation shape can also be gained by shape control on the whole circumference of the flex-gear’s neutral layer.
Ranking of Teaching Evaluation Index System of Public Physical Education Curriculum Based on Management by Objectives Using Analytic Hierarchy Process
Authors: Zhao Chenyang , Gudamu A.
Published: September 2021

Teaching evaluation is an important means to ensure the teaching quality of public physical education in colleges and universities. At present, physical education in colleges and universities is constantly changing, and the evaluation system of public physical education has also changed greatly. Based on the perspective of management by objectives, this paper makes a comprehensive evaluation of physical education teaching from two aspects: teachers’ teaching preparation and practical teaching. It takes the cultivation of students’ sports habits and lifelong sports consciousness as the ultimate goal, establishes 22 indexes to form an index system, and follows the requirements of the new curriculum teaching reform for the development of physical education. In order to continuously improve the level of physical education teaching as the guiding concept, the indexes are refined and decomposed. To determine the weight score of the three-level indexes and the index weight ranking, AHP is used, which is a formal method used to derive ranking from pairwise comparison technique, in accordance with a certain logical relationship, and provide reference for the evaluation of public physical education teaching in colleges and universities. In order to achieve the multiple objectives of public physical education curriculum as the starting point, attention should paid to the teaching focus of public physical education curriculum, and a comprehensive reform strategy should be put forward.
Multifeatured Image Retrieval Techniques Based on Partial Differential Equations for Online Shopping
Authors: Yu Jiaohui
Published: September 2021

In today’s rapid development of network and multimedia technology, the booming of electronic commerce, users in the network shopping species of images and other multimedia information showing geometric growth, in the face of this situation, how to find the images they need in the vast amount of online shopping images has become an urgent problem to solve. This paper is based on the partial differential equation to do the following research: Based on the partial differential equation is a kind of equation that simulates the human visual perception system to analyze images; based on the summary of the advantages and disadvantages of multifeature image retrieval technology, we propose a multifeature image retrieval technology method based on the partial differential equation to alleviate the indexing imbalance caused by the mismatch of multifeature image retrieval technology distribution. To improve the search speed of the data-dependent locally sensitive hashing algorithm, we propose a query pruning algorithm compatible with the proposed partial differential equation-based multifeature image retrieval technology method, which greatly improves the retrieval speed while ensuring the retrieval accuracy; to implement the data-dependent partial differential equation algorithm, we need to distribute the data set among different operation nodes, and to better achieve better parallelization of operations, we need to measure the similarity between categories, and we achieve the problem of distributing data among various categories in each operation node by introducing a clustering method with constraints. The purpose of this article for image recognition is for better shopping platforms for merchants. This algorithm has trained multiple samples and has data support. The experimental results show that our proposed data set allocation method shows significant advantages over the data set allocation method that does not consider category correlation. However, the image features used in image retrieval systems are often hundreds or even thousands of dimensions, and these features are not only high in dimensionality but also huge in number, which makes image retrieval systems encounter an inevitable problem—“dimensionality disaster.” To overcome this problem, scholars have proposed a series of approximate nearest neighbor methods, but multifeature image retrieval techniques based on partial differential equations are more widely used in people’s daily life.
Factors Influencing the Information Service Quality of the Online Website of Hospitals in China
Authors: Jiao Lei , Wang Yiping
Published: September 2021

Internet’s online information services can deliver high-quality services to the public while eliminating social alienation and virus transmission. From 2013 until the fourth quarter of 2020, China has had the highest number of Internet users in the world. Public access to information in the health care business in China is mostly through the Internet. In the healthcare business, high-quality information services are the fundamental obstacle because of their importance and effect on human lives. This article uses Chinese hospitals as a case study, covering assessment system development and empirical research. A total of 217 questionnaires were issued, 212 of which were valid, and the effective rate was 97.6 percent. The outcomes of the research show that the extensive epidemiological information services of the hospital website during an epidemic outbreak have a significant influence on the public’s use of the hospital website. Secondly, high-quality epidemic-related information services are critical to enhancing website information services during outbreaks. Finally, in the epidemic, the high-quality service of the hospital’s website has a greater impact on the worth of information in comparison to the content of information service.
κ-Opioid Receptor Agonist Ameliorates Postoperative Neurocognitive Disorder by Activating the Ca2+/CaMKII/CREB Pathway
Authors: Ding Guopeng , Li Dandan , Sun Yingjie , Chen Keyan , Song Dandan
Published: September 2021

Objective. Cardiopulmonary bypass (CPB) is an important cardiac operation and also a high-risk procedure, leading to postoperative neurocognitive disorder. However, there are few effective drugs to treat the aftermath of CPB. Therefore, we observe the effect of kappa opioid receptor (KOR) agonist on cognitive disorders of rats after cardiopulmonary bypass (CPB) and investigate the mechanism of the Ca2+/calmodulin-dependent protein kinase (CaMKII)/cAMP responsive element-binding protein (CREB) pathway. Methods. A total of 40 Sprague Dawley rats were randomly divided into the sham operation group (sham group, n = 10), CPB model group (CPB group, n = 10), CPB + KOR agonist U50488H group (UH group, n = 10), and CPB + specific CaMKII antagonist + U50488H group (CKU group, n = 10). The changes in the rats’ cognitive function were evaluated using the Morris water maze, the hippocampal histopathological changes were observed via hematoxylin-eosin (H&E) staining, and the apoptosis rate of neuronal cells was detected through terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining. Moreover, enzyme-linked immunosorbent assay (ELISA) was applied to examine the changes in brain injury markers, inflammatory factors, and oxidative stress factors. The hippocampal variations in Ca2+ concentration and oxidative stress index (ROS) levels were measured by immunofluorescence staining, and western blotting was performed to determine the expression changes in the Ca2+/CaMKII/CREB pathway. Results. The KOR agonist could shorten latency, increase the swimming distance and residence time in the target quadrant, and ameliorate postoperative neurocognitive disorder (PND). Meanwhile, the KOR agonist relieved CPB-induced hippocampal and oxidative stress injuries, reduced NSE and S-100β expression, decreased the apoptosis rate, and repressed the inflammatory response, which alleviated the brain injury. In addition, U50488H was able to decrease Ca2+ influx and glutamate (Glu) level, inhibit N-methyl-D-aspartate receptor (NMDAR) expression, upregulate CaMKII expression, promote CREB phosphorylation, and increase the brain-derived neurotrophic factor (BDNF) level in CPB rats. However, the protective effects of KORs against PND were suppressed following the application of the CaMKII-specific antagonist. Conclusion. The KOR agonist activates the Ca2+/CaMKII/CREB pathway, which improves the brain injury and relieves PND in CPB rats.
Multilevel Clustering-Evolutionary Random Support Vector Machine Cluster Algorithm-Based Functional Magnetic Resonance Imaging in Diagnosing Cerebral Ischemic Stroke
Authors: Fan Kun , Zhang Ting , He Weihong
Published: September 2021

This study was to explore the value of the blood oxygenation level dependent-functional magnetic resonance imaging (BOLD-fMRI) image classification based on the multilevel clustering-evolutionary random support vector machine cluster (MCRSVMC) algorithm in the diagnosis and treatment of patients with cognitive impairment after cerebral ischemic stroke (CIS). The MCRSVMC algorithm was optimized using a clustering algorithm, and it was compared with other algorithms in terms of accuracy (ACC), sensitivity (SEN), and specificity (SPE) of classifying the brain area images. 36 patients with cognitive impairment after CIS and nondementia patients were divided into a control group (drug treatment) and an intervention group (drug + acupuncture) according to different treatment methods, with 18 cases in each group. The changes in regional homogeneity (ReHo) of BOLD-fMRI images and the differences in scores of the Montreal Cognitive Assessment Scale (MoCA), scores of Loewenstein Occupational Therapy Cognitive Assessment (LOTCA), and scores of Functional Independence Measure (FIM) between the two groups of patients were compared before and after treatment. The results revealed that the average classification ACC, SEN, and SPE of the MCRSVMC algorithm were 84.25 ± 4.13%, 91.07 ± 3.51%, and 89 ± 3.96%, respectively, which were all obviously better than those of other algorithms (

P
<
0.01

). When the number of support vector machine (SVM) classifiers and the number of important features were 410 and 260, respectively, the classification ACC of MCRSVMC algorithm was 0.9429 and 0.9092, respectively. After treatment, the MoCA score, LOTCA score, and FIM score of the patients in the intervention group were higher than those of the control group (

P
<
0.05

). The ReHo values of the right inferior temporal gyrus and right inferior frontal gyrus of patients in the intervention group were much higher than those of the control group (

P
<
0.05

). It indicated that the classification ACC, SEN, and SPE of the magnetic resonance imaging (MRI) based on the MCRSVMC algorithm in this study were greatly improved, and the acupuncture method was more effective in the treatment of patients with cognitive dysfunction after CIS.
Breast Cancer Classification Prediction Based on Ultrasonic Image Feature Recognition
Authors: Huang Yihong , Zheng Shuo , Lin Yu , Miao Haiyan
Published: September 2021

Exploring an effective method to manage the complex breast cancer clinical information and selecting a suitable classifier for predictive modeling still require continuous research and verification in the actual clinical environment. This paper combines the ultrasound image feature algorithm to construct a breast cancer classification model. Furthermore, it combines the motion process of the ultrasound probe to accurately connect the ultrasound probe to the breast tumor. Moreover, this paper constructs a hardware and software system structure through machine vision algorithms and intelligent motion algorithms. Furthermore, it combines coordinate transformation and image recognition algorithms to expand the recognition process to realize automatic and intelligent real-time breast cancer diagnosis. In addition, this paper combines machine learning algorithms to process data and obtain an intelligent system model. Finally, this paper designs experiments to verify the intelligent system of this paper. Through experimental research, it can be seen that the breast cancer classification prediction system based on ultrasonic image feature recognition has certain effects.
Application and Value of Dynamic Volume CT Multiparameter Imaging in the Diagnosis of Traumatic High-Flow Penile Abnormal Erection
Authors: Xu Chengcheng , Ruan Xinzhong , Pan Yuning , Huang Qiuli
Published: September 2021

Objective. To explore the clinical application of dynamic volume CT multiparameter imaging in the observation of penile hemodynamics in patients with abnormal vascular erections. Methods. 90 patients with suspected vascular abnormal erections treated in our hospital from January 2016 to January 2020 were included in the study, and 40 patients with psychologically abnormal erections were selected for the control. The corpus cavernosum injection vasoactive drug test (ICI) and dynamic volume CT and Doppler ultrasound were used to test the hemodynamics of the corpus cavernosum of all selected patients and to analyze the changes of penile length, circumference, systolic peak flow rate, diastolic peak flow rate, and blood flow resistance index in different types of penile erection disorder patients before and after ICI test. Results. Among the 90 patients with suspected vascular abnormal erection, 34 patients had arterial abnormal erection, 25 patients had venous abnormal erection, and 31 patients had mixed vascular abnormal erection. In patients with arterial abnormal erection and mixed vascular abnormal erection, penile cavernous body diameter, PSV, and abnormal erection V are smaller than those in patients with venous abnormal erection and psychological abnormal erection, while arterial abnormal erection and psychological abnormal erection are obviously higher in RI than venous abnormal erection and mixed vascular abnormal erection, and the difference is statistically significant (

P
<
0.05

). Before the ICI test, there was no significant difference in the penis circumference and length between the four groups of patients with arterial abnormal erection, venous abnormal erection, mixed vascular abnormal erection, and psychological abnormal erection (

P
>
0.05

); after the ICI test, patients with arterial abnormal erections had significantly shorter penis perimeter and penis length than those with venous abnormal erections, mixed vascular abnormal erections, and psychological abnormal erections (

P
<
0.05

). Conclusion. Dynamic volume CT can clearly reflect the penile hemodynamic state of patients with vascular abnormal erections, provide a powerful diagnostic basis for accurately and effectively determining the classification of vascular abnormal erections, and be worthy of popularization and clinical use.
Prediction of the Stability of the Loaded Rock Based on the Acoustic Emission Characteristics of the Loaded Rock Based on Data Mining
Authors: Li Mengyao , Su Chang , Li Guolong
Published: September 2021

The rock masses that occur in nature are damaged and unstable due to the impact of rock burst, coal and gas outbursts, and other human mining activities, posing a major threat to human life and safety. In the light of the early warning of the danger of the loaded rock mass, this paper adopts acoustic emission (AE) device to analyze the AE signal characteristics and damage laws of the loaded rock under different stress levels. Then, based on the AE signal characteristics of the loaded rock, data mining technology is used to construct a model to predict the failure and instability of the loaded rock mass and, finally, verify the reliability of the prediction model based on data mining. The results show that the AE signal characteristics of red sandstone under uniaxial load are related to the magnitude of the bearing stress. Before the plastic deformation stage, the AE energy and the cumulative count per second are both small. After the loaded rock enters the plastic deformation stage, the AE energy and the cumulative count per second both increase sharply. After the AE energy is greater than 500 mV ∗ms and the cumulative count per second is greater than 150, the loaded rock mass will issue an early warning signal. The research results can provide a reference value for the safe production of the project site and the dangerous early warning of the loaded rock mass.
Nanonaringenin and Vitamin E Ameliorate Some Behavioral, Biochemical, and Brain Tissue Alterations Induced by Nicotine in Rats
Authors: Kandeil Mohamed A. , Mohammed Eman T. , Radi Rania A. , Khalil Fatma , Abdel-Razik Abdel-Razik H. , Abdel-Daim Mohamed M. , Safwat Ghada M.
Published: September 2021

Nicotine is the major alkaloid present in cigarettes that induces various biochemical and behavioral changes. Nanonaringenin (NNG) and vitamin E are antioxidants that are reported to mitigate serious impairments caused by some toxins and oxidants. Thus, we aimed to investigate the efficacy of NNG, vitamin E, and their combinations to ameliorate behavioral, biochemical, and histological alterations induced by nicotine in rats. Adult male albino rats were randomly grouped into six equal groups (10 rats/group): control, N (nicotine 1 mg/kg b.w./day S/C from 15th to 45th day, 5 days a week), NNG (25 mg/kg b.w./day orally for 45 days), N + NNG, N + E (nicotine + vitamin E 200 mg/kg b.w./day orally), and N + NNG + E (nicotine + NNG + vitamin E at the aforementioned doses). Behavioral tests were conducted on day 15 and 30 postnicotine injection, while memory tests, brain neurotransmitters, antioxidants, and histopathological examination were examined at day 30 only. As a result, nicotine impaired rats’ activity (hypoactivity and hyperactivity) and memory, induced anxiolytic and anxiogenic effects on rats, and altered neurotransmitters (acetylcholinesterase, serotonin, and dopamine), and redox markers (MDA, H2O2, GSH, and catalase) levels in brain homogenates. Thickening and congestion of the meninges and degeneration of the cerebral neurons and glia cells were observed. Cosupplementation with NNG, vitamin E, and their combination with nicotine was beneficial in the alleviation of activity impairments and improved short memory and cognition defects and exploratory behaviors. Our results indicate the antioxidant potential of NNG and vitamin E by modulating redox markers and neurotransmitters in the brain. Thus, data suggest that the prophylactic use of NNG, vitamin E, and/or their combination for (45 days) may have a successful amelioration of the disrupted behavior and cognition and biochemical and histopathological alterations induced by nicotine.
Application of the Preoperative Assistant System Based on Machine Learning in Hepatocellular Carcinoma Resection
Authors: Lv Shouyun , Li Shizong , Yu Zhiwei , Wang Kaiqiong , Qiao Xin , Gong Dongwei , Wu Changxiong
Published: September 2021

To conduct better research in hepatocellular carcinoma resection, this paper used 3D machine learning and logistic regression algorithm to study the preoperative assistance of patients undergoing hepatectomy. In this study, the logistic regression model was analyzed to find the influencing factors for the survival and recurrence of patients. The clinical data of 50 HCC patients who underwent extensive hepatectomy (≥4 segments of the liver) admitted to our hospital from June 2020 to December 2020 were selected to calculate the liver volume, simulated surgical resection volume, residual liver volume, surgical margin, etc. The results showed that the simulated liver volume of 50 patients was 845.2 + 285.5 mL, and the actual liver volume of 50 patients was 826.3 ± 268.1 mL, and there was no significant difference between the two groups (t = 0.425;

P

 > 0.05). Compared with the logistic regression model, the machine learning method has a better prediction effect, but the logistic regression model has better interpretability. The analysis of the relationship between the liver tumour and hepatic vessels in practical problems has specific clinical application value for accurately evaluating the volume of liver resection and surgical margin.
New Model Construction of Enterprise Information Resource Management under e-Commerce
Authors: Song Lifang , Zhao Zichao
Published: September 2021

Enterprise information resource management is one of the important branches in the field of information resource management, and it is also the focus and hot spot of information resource management academic research. The arrival of e-commerce era brings opportunities and challenges to enterprise information resource management, which will enter a new stage. Under the environment of e-commerce, the organic combination of enterprise resource planning, supply chain management, customer relationship management, and e-commerce will become an urgent and inevitable choice for enterprises. The purpose of this paper is to establish an innovative model of enterprise information resource management in the e-commerce environment. Combined with the enterprise information resource management in the e-commerce environment, this paper studies the model framework, theoretical system, and technical implementation method of enterprise information resource management. According to the research status of enterprise information resource management, this paper analyzes the enterprise information resource management under the e-commerce environment and adopts the experimental method of simulating the information resource management environment. The idea of “three networks” + “three systems” is put forward. The experimental results show that in 2019, the investment of e-commerce enterprises in hardware products decreased by 3.3% and the proportion of software and information services increased by 2% and 1.3%, respectively. The enterprise information resource management model constructed in this paper has very important practical significance.
Dynamic Oxygen Conditions Promote the Translocation of HIF‐1α to the Nucleus in Mouse Blastocysts
Authors: Choi Jungwon , Kim Wontae , Yoon Hyejin , Lee Jaewang , Jun Jin Hyun
Published: September 2021

Oxygen tension is one of the most critical factors for mammalian embryo development and its survival. The HIF protein is an essential transcription factor that activated under hypoxic conditions. In this study, we evaluated the effect of dynamic oxygen conditions on the expression of embryonic genes and translocation of hypoxia‐inducible factor‐1α (HIF‐1α) in cultured mouse blastocysts. Two‐pronuclear (2PN) zygotes harvested from ICR mice were subjected to either high oxygen (HO; 20%), low oxygen (LO; 5%), or dynamic oxygen (DO; 5% to 2%) conditions. In the DO group, PN zygotes were cultured in 5% O2 from days 1 to 3 and then in 2% O2 till day 5 after hCG injection. On day 5, the percentage of blastocysts in the cultured embryos from each group was estimated, and the embryos were also subjected to immunocytochemical and gene expression analysis. We found that the percentage of blastocysts was similar among the experimental groups; however, the percentage of hatching blastocysts in the DO and LO groups was significantly higher than that in the HO group. The total cell number of blastocysts in the DO group was significantly higher than that of both the HO and LO groups. Further, gene expression analysis revealed that the expression of genes related to the embryonic development was significantly higher in the DO group than that in the HO and LO groups. Interestingly, HIF-1α mRNA expression did not significantly differ; however, HIF‐1α protein translocation from the cytoplasm to the nucleus was significantly higher in the DO group than in the HO and LO groups. Our study suggests that dynamic oxygen concentrations increase the developmental capacity in mouse preimplantation embryos through activation of the potent transcription factor HIF‐1α.
Optimum Energy Flow Management of a Grid-Tied Photovoltaic-Wind-Battery System considering Cost, Reliability, and CO2 Emission
Authors: Azaroual Meryeme , Ouassaid Mohammed , Maaroufi Mohamed
Published: September 2021

The main goal of this paper is to explore the performance of a residential grid-tied hybrid (GTH) system which relies on economic and environmental aspects. A photovoltaic- (PV-) wind turbine- (WT-) battery storage system with maximizing self-consumption and time-of-use (ToU) pricing is conducted to examine the system efficiency. In so doing, technical optimization criteria with taking into consideration renewable energy benefits including feed-in-tariff (FIT) and greenhouse gas emission (GHG) reduction are analyzed. As the battery has a substantial effect on the operational cost of the system, the energy management strategy (EMS) will incorporate the daily operating cost of the battery and the effect of the degradation. The model can give the opportunity to the network to sell or purchase energy from the system. The simulation results demonstrate the effectiveness of the proposed approach in which the new objective function achieves the maximum cost-saving (99.81%) and income (5.16 $/day) compared to other existing strategies as well as the lowest GHG emission. Furthermore, the battery enhances the best daily self-consumption and load cover ratio. Then, as the model is nonlinear, a comparison with other existing algorithms is performed to select the feasible, robust, and reliable model for the residential application. A hybrid algorithm (HGAFMINCON) is developed to demonstrate the superiority of the algorithm over FMINCON and GA shown in terms of cost savings and income.
Focusing Algorithm of Automatic Control Microscope Based on Digital Image Processing
Authors: Zhang Jing , Zhang Tao
Published: September 2021

When performing digital image processing, the most critical technology that affects its use effect is the autofocus technology. With the advancement of science and the development of computer technology, autofocus technology has become more and more widely used in various fields. Autofocus technology is a key technology in robot vision and digital video systems. In order to allow digital image processing technology to better serve humans, it is necessary to further improve the focus evaluation function algorithm. This article focuses on the imaging principle of defocused images, using different evaluation functions to analyze and process the experimental images to observe the changes in image clarity. Through the introduction and analysis of the existing evaluation function, it can be known that the focus evaluation function will directly affect the quality of digital image processing. Therefore, it is best to choose unimodality, unbiasedness, low noise sensitivity, wide coverage, and a small amount of calculation. For the evaluation function, the Laplacian gradient function is an ideal choice. However, because the current digital image processing technology is not perfect enough, the focus function is still prone to multiextreme problems when the image is severely defocused and the high‐frequency components in the image are missing; the balance between image processing speed and focus accuracy also still needs to be improved. Therefore, this paper studies the autocontrol microscope focus algorithm based on digital image processing, analyzes the principle of visual image imaging, and makes some improvements to the microscope focus algorithm. Through experiments, it can be seen that the real‐time data of the original Laplace function in the edge‐obvious target is 76.9, and it reaches 77.6 after improvement. The improved algorithm can better maintain the single‐peak state during the focusing process, which improves the image processing efficiency while ensuring the measurement accuracy.
Secure and Practical Group Nearest Neighbor Query for Location-Based Services in Cloud Computing
Authors: Guo Jingjing , Sun Jiacong
Published: September 2021

Group nearest neighbor (GNN) query enables a group of location-based service (LBS) users to retrieve a point from point of interests (POIs) with the minimum aggregate distance to them. For resource constraints and privacy concerns, LBS provider outsources the encrypted POIs to a powerful cloud server. The encryption-and-outsourcing mechanism brings a challenge for the data utilization. However, as previous work from

k
−

anonymity technique leaks all contents of POIs and returns an answer set with redundant communication cost, the LBS system cannot work properly with those privacy-preserving schemes. In this paper, we illustrate a secure group nearest neighbor query scheme, which is referred to as SecGNN. It supports the GNN query with

n

n
≥
3

LBS users and assures the data privacy and query privacy. Since SecGNN only achieves linear search complexity, an efficiency enhanced scheme (named Sec

GNN

+

) is introduced by taking advantage of the KD-tree data structure. Specifically, we convert the GNN problem to the nearest neighbor problem for their centroid, which can be computed by anonymous veto network and Burmester–Desmedt conference key agreement protocols. Furthermore, the Sec

GNN

+

scheme is introduced from the KD-tree data structure and a designed tool, which supports the computation of inner products over ciphertexts. Finally, we run experiments on a real-database and a random database to evaluate the performance of our SecGNN and Sec

GNN

+

schemes. The experimental results show the high efficiency of our proposed schemes.
Research on the Effect of 5Why-Based Nursing Intervention in Blood Purification Nursing
Authors: Cai Ru , Fei Yun , Li XiaoPing , Xu LinFang , Wu Chun Lei , Wu Na
Published: September 2021

In order to explore the effectiveness of the 5Why-based nursing intervention method in blood purification nursing, this paper takes 108 patients from Changzhou Second Hospital in the past three years as an example for experimental analysis. Moreover, this paper uses mathematical statistics to group patients into groups, and the two groups of patients are comparable. After grouping, this paper conducts preexperiment processing and then conducts patient grooming through various basic tasks so that the test results have a certain degree of reliability. On this basis, this paper verifies the nursing intervention methods through controlled trials. Among them, the control group is treated with the hospital’s conventional nursing methods and allowed patients to master self-nursing methods, while the test group is treated with 5Why-based nursing intervention on the basis of traditional nursing methods. Finally, this paper combines mathematical statistics to evaluate the effect of blood purification nursing. From the research results, it can be known that the 5Why-based nursing intervention method has certain effectiveness in blood purification nursing.
Early MCI‐to‐AD Conversion Prediction Using Future Value Forecasting of Multimodal Features
Authors: Minhas Sidra , Khanum Aasia , Alvi Atif , Riaz Farhan , Khan Shoab A. , Alsolami Fawaz , A Khan Muazzam
Published: September 2021

In Alzheimer’s disease (AD) progression, it is imperative to identify the subjects with mild cognitive impairment before clinical symptoms of AD appear. This work proposes a technique for decision support in identifying subjects who will show transition from mild cognitive impairment (MCI) to Alzheimer’s disease (AD) in the future. We used robust predictors from multivariate MRI‐derived biomarkers and neuropsychological measures and tracked their longitudinal trajectories to predict signs of AD in the MCI population. Assuming piecewise linear progression of the disease, we designed a novel weighted gradient offset‐based technique to forecast the future marker value using readings from at least two previous follow‐up visits. Later, the complete predictor trajectories are used as features for a standard support vector machine classifier to identify MCI‐to‐AD progressors amongst the MCI patients enrolled in the Alzheimer’s disease neuroimaging initiative (ADNI) cohort. We explored the performance of both unimodal and multimodal models in a 5‐fold cross‐validation setup. The proposed technique resulted in a high classification AUC of 91.2% and 95.7% for 6‐month‐ and 1‐year‐ahead AD prediction, respectively, using multimodal markers. In the end, we discuss the efficacy of MRI markers as compared to NM for MCI‐to‐AD conversion prediction.
BIM Performance, Project Complexity, and User Satisfaction: A QCA Study of 39 Cases
Authors: Jiang Hui-jie , Cui Zhi-peng , Yin Hang , Yang Zhong-bao
Published: September 2021

Although the realization of building information modeling (BIM) performance is the basis for the generation of user’s satisfaction, few studies have explored the influence path between BIM performance and BIM user’s satisfaction in recent years. Therefore, to enrich the research results of BIM user’s satisfaction and provide reference schemes for engineering practice, this study adopts the fsQCA (fuzzy‐set qualitative comparative analysis) method, taking 39 project cases using BIM technology as the base sample to analyze the influence path between BIM performance and user’s satisfaction. Moreover, this study is based on the configuration theory, examining four elements of BIM performance: BIM accuracy, information integration, functional advantages and manager support, and the complexity of the project. Finally, this study identifies three types of configuration results: performance type, support type, and comprehensive type. The performance type can achieve high user satisfaction in relatively complex projects; the support type requires executive support to improve user satisfaction in less complex projects, and the comprehensive type improves satisfaction through multiple BIM performances without considering project complexity.
Security Analysis of the TSN Backbone Architecture and Anomaly Detection System Design Based on IEEE 802.1Qci
Authors: Luo Feng , Wang Bowen , Fang Zihao , Yang Zhenyu , Jiang Yifan
Published: September 2021

With the development of intelligent and connected vehicles, onboard Ethernet will play an important role in the next generation of vehicle network architectures. It is well established that accurate timing and guaranteed data delivery are critical in the automotive environment. The time-sensitive network (TSN) protocol can precisely guarantee the time certainty of the key signals of automotive Ethernet. With the time-sensitive network based on automotive Ethernet being standardized by the TSN working group, the TSN has already entered the vision of the automotive network. However, the security mechanism of the TSN protocol is rarely discussed. First, the security of the TSN automotive Ethernet as a backbone E/E (electrical/electronic) architecture is analyzed in this paper through the Microsoft STRIDE threat model, and possible countermeasures for the security of automotive TSNs are listed, including the security protocol defined in the TSN, so that the TSN security protocol and the traditional protection technology can form a complete automotive Ethernet protection system. Then, the security mechanism per-stream filtering and policing (PSFP) defined in IEEE 802.1Qci is analyzed in detail, and an anomaly detection system based on PSFP is proposed in this paper. Finally, OMNeT++ is used to simulate a real TSN topology to evaluate the performance of the proposed anomaly detection system (ADS). As a result, the protection strategy based on 802.1Qci not only ensures the real-time performance of the TSN but can also isolate individuals with abnormal behavior and block DoS (denial of service) attacks, thus attaining the security protection of the TSN vehicle-based network.
An Equivalent Condition and Some Properties of Strong J-Symmetric Ring
Authors: Xu Shun
Published: September 2021

Let

J

R

denote the Jacobson radical of a ring

R

. We say that ring

R

is strong J-symmetric if, for any

a
,
b
,
c
∈
R

,

a
b
c
∈
J

R

implies

b
a
c
∈
J

R

. If ring

R

is strong J-symmetric, then it is proved that

R

x

/

x

n

is strong J-symmetric for any

n
≥
2

. If

R

and

S

are rings and

W

S

R

is a

R
,
S

-bimodule,

E
=
T

R
,
S
,
W

=

R

W

0

S

=

r

w

0

s

|

r
∈
R
,
w
∈
W
,
s
∈
S

,

then it is proved that

R

and

S

are J-symmetric if and only if

E

is J-symmetric. It is also proved that

R

and

S

are strong J-symmetric if and only if

E

is strong J-symmetric.
Numerical Simulations on the Extinguishing Effect of Water Mist System with Different Parameters of Longitudinal Ventilation in Curve Tunnel Fire
Authors: Liu Zhizhong , Chen Chen , Liu Mu , Wang Song , Liu Yuzhu
Published: September 2021

Once a fire occurs in a long curve tunnel, the mixing of hot smoke flow and cold air leads to turbulence due to the curvature’s impact. This phenomenon results in a greater thermal pressure difference at the fire source and a substantially greater temperature field than in the straight tunnel. The longitudinal air flowing along the wall loses a lot of velocity in the curve tunnel due to the massive wall friction. Under the same fire extinguishing conditions, the curve tunnel and straight tunnel have different requirements for longitudinal ventilation. Factors such as tunnel curvature, longitudinal ventilation operation time, and ventilation velocity were all evaluated in order to investigate the influence of longitudinal ventilation parameters on the fire extinguishing effect of water mist in the curve tunnel. The fire extinguishing effect of water mist coupling with longitudinal ventilation in the curve tunnel is studied by numerical simulation, and the recommended values of ventilation operation time and ventilation velocity in the curve tunnel with the participation of the water mist system are given. The results show that (1) the fire extinguishing effect of water mist decreases with the increase of curvature under longitudinal ventilation and (2) fire prevention effect is best when water mist and longitudinal ventilation are used in the curved tunnel, and the ventilation velocity should be greater than 2 m/s.
Application of Adaptive Robust CKF in SINS/GPS Initial Alignment with Large Azimuth Misalignment Angle
Authors: Bing Zhang , Xiaodong Wang , Hao Lu , Zhaojun Hao , Changchao Gu
Published: September 2021

When the strapdown inertial navigation system does not perform coarse alignment, the misalignment angle is generally a large angle, and a nonlinear error model and a nonlinear filtering method are required. For large azimuth misalignment, the initial alignment technology with a large azimuth misalignment angle is researched in this paper. The initial alignment technology with a large azimuth misalignment angle is researched in this paper. First, the SINS/GPS nonlinear error model is established. Secondly, in the view of observation gross errors and inaccurate noise statistical characteristics, an adaptive robust CKF algorithm is proposed. Finally, according to the simulation analysis and experiment, the adaptive robust CKF algorithm can augment the stability and improve the filter estimation precision and convergence rate.
Computing SS Index of Certain Dendrimers
Authors: Zhao Weidong , Shanmukha M.C. , Usha A. , Farahani Mohammad Reza , Shilpa K.C.
Published: September 2021

The numerical descriptor gathers the data from the molecular graphs and helps to know the characteristics of the chemical structure known as topological index. The QSAR/QSPR/QSTR studies are benefited with the significant role played by topological indices in the drug design. Topological indices provide the information about the physical/chemical/biological properties of chemical compounds. The Zagreb indices are widely studied because of their extensive usage in chemical graph theory. Inspired by the earlier work on inverse sum indeg index (ISI index), novel topological index known as SS index is introduced and computed for four dendrimer structures. Also, the strong correlation coefficient between SS index and 5 physico-chemical characteristics such as boiling point (bp), molar volume (mv), molar refraction (mr), heats of vaporization (hv), and critical pressure (cp) of 67 alkane isomers have been determined. It is found that newly introduced index has shown good correlation in comparison with three most popular existing indices (ISI index and first and second Zagreb indices). In the last part, the mathematical properties of SS index are discussed.