bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implementation of Personalized Push Service Based on Feature Extraction and Pattern Recognition
Authors: Zhang Moxuan
Published: July 2022

Personalized push service is one of the more popular research and application fields, which has received more and more attention. Its application prospects are also more and more extensive. This research mainly designs and implements personalized push services through feature extraction and pattern recognition. In this study, the Chinese texts of user-visited pages are classified according to keywords, so as to obtain the user’s interest characteristic data. Then, according to the frequency of each feature category, the weight of the user’s interest feature is calculated, and the user’s interest field is predicted and identified. After that, resources that match the user’s interest field are pushed to it. In order to verify the effectiveness of the improved model, this study carried out experiments and comparisons on the precision rate, recall rate, and comprehensive classification rate of the original model and the improved model on the implemented personalized push service system. In the research, the error between the interest results under each interest topic in the test set and the results obtained by the statistical analysis of the training set is within a reasonable range, the maximum of which is about 5%. The accuracy of interest degree prediction in different scenarios can reach more than 90%, which directly confirms the good applicability and effectiveness of the analysis and calculation method and the constructed model for user interest in this study. The personalized push service framework proposed in this study has good application value in the field of time-sensitive information services.
Influence of Dielectric Loss on RF Performance of Microstrip Multi-Resonant Circuits
Authors: Tu Huating , Hong Hong , Zhang Yaya , Zhou Liang , Li Xiaoou
Published: July 2022

Nowadays, fabric-based antennas, resonators, and sensors are attracting significant attention due to their excellent comfortability and flexibility compared with the rigid commercial printed circuit boards (PCBs). Both the dielectric constant (

ε

r

) and dielectric loss tangent (

tan
δ

) of substrate materials have a great influence on their frequency response characteristics. However, the effect of dielectric loss is usually ignored, since traditional radio frequency (RF) devices are fabricated on commercial PCBs with much lower

tan
δ

. As the differences of dielectric loss vary widely with different fabric materials, it is of great significance to explore the influence of dielectric loss on the frequency response characteristics. Therefore, this paper systematically studied the influence of substrate properties on RF performance of microstrip multiresonator. Firstly, the models of microstrip multiresonators with different

ε

r

and

tan
δ

were created by HFSS simulation. By parametrically sweeping, it showed that the

tan
δ

was the key factor for the notch depth. And the larger the

tan
δ

, the bigger the electromagnetic loss of the material, resulting in a smaller notch depth of the resonator. Then, three representative materials with different orders of magnitude of

tan
δ

(AD-450: 0.002, FR-4: 0.015, and denim fabric: 0.114) were chosen to verify the simulation. The results showed that the common fabric-based resonator has poor RF characteristics for their big dielectric loss compared with those of commercial PCBs. This study is of great significance for designing wearable electronic devices with flexible substrate materials with large dielectric loss.
Computer Communication Network Fault Detection Based on Improved Neural Network Algorithm
Authors: Na Yong
Published: July 2022

In order to meet the new requirements of fault diagnosis response and intelligent degree in the current computer network, a fault detection of computer communication network based on an improved neural network algorithm is proposed. First, from the perspective of deep learning, based on the KDD99 data set, the network fault diagnosis method based on the convolutional neural network model is studied, and the data conversion operation of grayscale matrixed raw data is proposed. And experiments are carried out, the convolutional neural network structure is designed according to the scale of data features, a series of optimization studies including discarding learning, gradient optimization algorithm, and data enhancement based on this is carried out, and the establishment of the entire fault diagnosis model is completed. The experimental results show that, in the diagnostic model designed in this paper, the Tanh activation function is used in the first fully connected layer to achieve the best convergence speed. During the training process, it can start to converge after about 24 iterations, and the accuracy rate of the model training process can reach 98.1%, verifying the correctness and superiority of the algorithm and model.
Aerobic Exercise Associated with Fish Oil Supplementation Decreases C-Reactive Protein and Interleukin-6 in Celiac Disease Patients
Authors: Costa Allysson , Brito Gleisson A. P. de
Published: July 2022

Background. Several studies indicate that celiac disease patients present alterations within anthropometric, metabolic, and inflammatory parameters, while physical exercise and fish oil are known to activate modulatory pathways of such parameters. Objective. To investigate the effects of a 12-week-long protocol of aerobic exercise and its association with fish oil supplementation in nineteen adult celiac disease patients. Material and Methods. The celiacs were divided into 2 groups: (A) FOS: supplementation (n = 11); and (B) EXE: supplementation and exercise (n = 8). The celiac groups were compared to the adult healthy control group (CTR) (n 12). Aerobic exercises were performed weekly, in three sessions of 60 minutes each, with a maximal heart rate intensity of 60–70%. The participants received 2 g/day of fish oil, a daily intake of 420 mg of eicosapentaenoic acid, and 230 mg of docosahexaenoic acid. The following measurements were taken in four phases: (A) anthropometry: body mass, height, body mass index, waist-to-hip ratio, fat mass, and fat-free mass; (B) metabolic profile: total cholesterol, triglycerides, HDL, and LDL; and (C) inflammatory profile: C-reactive protein and interleukin-6. Results. Supplementation associated with aerobic exercise promoted a significant reduction in C-reactive protein (

P
<
0.01

) and increased the proportion of individuals in the undetectable range of interleukin-6. Conclusions. The associated interventions showed a corrective and preventive potential in relation to disorders associated with chronic inflammation; however, the experimental design does not allow us to discriminate between the biological effects that are dependent on the association between interventions and those exclusively dependent on aerobic exercise.
The Effects of Bone Cement Volume in Percutaneous Vertebroplasty for Thoracolumbar Junction Vertebral Compression Fractures: A Clinical Comparative Study
Authors: Wang Meng , Li Bo , Wang Yuren , Jiang Shengdan , Wen Gen , Jiang Leisheng , Zheng Xinfeng
Published: July 2022

We compared the outcomes of patients treated with different volumes of polymethyl methacrylate bone cement during percutaneous vertebroplasty (PVP) for thoracolumbar vertebral compression fractures. We performed a comparative, retrospective study of 316 patients who underwent PVP for a single-level thoracolumbar vertebral compression fracture. Patients were divided into two groups: group A (≤5 mL;

n
=
146

) and group B (>5 mL;

n
=
170

). The visual analogue scale (VAS) for pain and the Roland-Morris Disability Questionnaire (RDQ) scores were compared between the two groups at 1 week and at 1, 6, 12, and 24 months after PVP. The incidence of cement leakage into the intervertebral discs was evaluated by a postoperative lateral radiograph assessment. Patients were evaluated for new fractures 1 and 2 years after PVP or when new fractures were suspected. Among the 316 patients enrolled, 245 completed the clinical research. No difference between groups A and B in terms of the VAS, RDQ, and rate of complications at all time points after surgery was observed. The presence of intervertebral disc leakage was a relative risk (RR) for subsequent total vertebral fracture (RR, 6.42; 95% confidence interval (CI), 2.72-14.19;

P
<
0.0001

) and adjacent vertebral fracture (RR, 8.03; 95% CI, 2.74-23.54;

P
=
0.0001

). A high volume of bone cement may increase the rate of subsequent total and adjacent vertebral fractures. However, the occurrence of intervertebral disc leakage is the principal risk factor for these negative outcomes of PVP.
Construction of College Sports Teaching Evaluation System under the Background of Big Data
Authors: Wang Dan , Anhouck Badm
Published: July 2022

With the importance of sports to the all-round development of people, especially with the rapid development of higher education and the gradual deepening of reform and opening up in recent years, physical education, as an important part of college education, involves many factors and is the physical foundation of the people’s revolution, playing a very important role in talent training. The physical education evaluation system is an intuitive result of the physical education process and physical education effect. Based on information technology to promote various industries to upgrade the core of formal Industry 4.0, the current Internet big data has gradually become a hot spot of social development, and it has been widely used in various industries and achieved good results. This paper firstly clarifies the importance of college physical education evaluation and studies the evaluation level and evaluation system construction principles of college physical education. Finally, the significance of the construction of the evaluation system of physical education in colleges and universities under the background of big data and the characteristics of evaluation theory are given, and the active construction strategy is planned, and the evaluation system of physical education in colleges and universities in the future is prospected. This paper is a combined research on the application of big data to the construction of contemporary physical education teaching evaluation system, to help the construction of physical education evaluation system in my country’s colleges and universities and to explore a feasible path for the application of big data technology to existing fields.
An Integrated Approach Fusing CEEMD Energy Entropy and Sparrow Search Algorithm-Based PNN for Fault Diagnosis of Rolling Bearings
Authors: Xiao Yue , Zeng Zhiqing , Deng Ziyang , Lin Chao , Xie Zuquan
Published: July 2022

This paper solves the problem of difficulty in achieving satisfactory results with traditional methods of bearing fault diagnosis, which can effectively extract the fault information and improve the fault diagnosis accuracy. This paper proposes a novel artiﬁcial intelligence fault diagnosis method by integrating complementary ensemble empirical mode decomposition (CEEMD), energy entropy (EE), and probabilistic neural network (PNN) optimized by a sparrow search algorithm (SSA). The vibration signal of rolling bear was firstly decomposed by CEEMD into a set of intrinsic mode functions (IMFs) at different time scales. Then, the correlation coefficient was used as a selection criterion to determine the effective IMFs, and the signal features were extracted by EE as the input of the diagnosis model to suppress the influence of the redundant information and maximize the retention of the original signal features. Afterwards, SSA was used to optimize the smoothing factor parameter of PNN to reduce the influence of human factors on the neural network and improve the performance of the fault diagnosis model. Finally, the proposed CEEMD-EE-SSA-PNN method was veriﬁed and evaluated by experiments. The experimental results indicate that the presented method can accurately identify different fault states of rolling bearings and achieve better classification performance of fault states compared with other methods.
[Retracted] The Use of Chest Radiographs and Machine Learning Model for the Rapid Detection of Pneumonitis in Pediatric
Authors: Alshamrani Khalaf , Alshamrani Hassan A. , Asiri Abdullah A. , Alqahtani F. F. , Mohammad Walid Theib , Alshehri Ali H.
Published: July 2022

Pneumonia is a common lung disease that is the leading cause of death worldwide. It primarily affects children, accounting for 18% of all deaths in children under the age of five, the elderly, and patients with other diseases. There is a variety of imaging diagnosis techniques available today. While many of them are becoming more accurate, chest radiographs are still the most common method for detecting pulmonary infections due to cost and speed. A convolutional neural network (CNN) model has been developed to classify chest X‐rays in JPEG format into normal, bacterial pneumonia, and viral pneumonia. The model was trained using data from an open Kaggle database. The data augmentation technique was used to improve the model’s performance. A web application built with NextJS and hosted on AWS has also been designed. The model that was optimized using the data augmentation technique had slightly better precision than the original model. This model was used to create a web application that can process an image and provide a prediction to the user. A classification model was developed that generates a prediction with 78 percent accuracy. The precision of this calculation could be improved by increasing the epoch, among other subjects. With the help of artificial intelligence, this research study was aimed at demonstrating to the general public that deep‐learning models can be created to assist health professionals in the early detection of pneumonia.
An Shen Ding Zhi Ling Ameliorates the Symptoms of Attention Deficit Hyperactivity Disorder via Modulating Brain-Derived Neurotrophic Factor-Related Signaling Pathways
Authors: Yaqun Li , Haixia Yuan , Yuchen Song , Mingxin Zhu , Manqi Lu , Yunlong Tian , Aizhen Wang , Xinmin Han
Published: July 2022

Attention deficit hyperactivity disorder (ADHD) is a common childhood neurodevelopmental disorder. It may impact the cognitive and social functions throughout childhood and determine adult outcomes. Dopamine (DA) deficiency theory is the pathogenesis of ADHD that is recognized by most international literature. Existing studies have shown that DA deficiency is caused by the abnormal function of the DA transporter and an imbalance in the DA receptor functionality. Recent clinical and experimental studies have found that the brain-derived neurotrophic factor (BDNF)/tropomyosin receptor kinase B (TrkB) signaling pathway acts a pivotal part in DA vesicle circulation and ADHD pathogenesis. An Shen Ding Zhi Ling (ASDZL) is a traditional Chinese medicine (TCM) prescription, which was widely prescribed to treat ADHD in Jiangsu, China, but its therapeutic mechanism is unclear. Therefore, we constructed a spontaneously hypertensive rat (SHR) model to explain its mechanism. SHRs were randomly assigned to four groups: SHR model group (vehicle), methylphenidate hydrochloride group (MPH), ASDZL group, and 7,8-dihydroxyflavone group (7,8-DHF). At the same time, the above groups were given continuous medication for four weeks. The results show that ASDZL, MPH, and 7,8-DHF group could significantly improve the spatial memory of SHRs in the Morris water maze tests. ASDZL increased the levels of BDNF, TrkB, p75 neurotrophin receptor (p75), C-Jun N-terminal kinases 1 (JNK1), and nuclear factor kappa B (NF-κB) in the prefrontal cortex (PFC) and hippocampus synaptosome of SHRs. The results of this study suggest that ASDZL can relieve the symptoms of ADHD in SHRs by regulating the balance between the BDNF/TrkB signaling pathway (promoting vesicle circulation) and the BDNF/P75/JNK1/NF-κB signaling pathway (inhibiting vesicle circulation) within the PFC and hippocampus synaptosome to increase the DA concentration in the synaptic cleft. The BDNF/TrkB signal pathway within the PFC and hippocampus synaptosome was activated by 7,8-DHF to increase DA concentration in the synaptic cleft. Whether 7,8-DHF can activate or inhibit the BDNF/P75 signaling pathway remains unclear.
Acute Pancreatitis and Recurrent Acute Pancreatitis in Children: A 10-Year Retrospective Study
Authors: Wang Chaohui , Fu Bao , Su De , Huang Ping , Fu Xiaoyun
Published: July 2022

Aim. To compare the clinical characteristics of acute pancreatitis (AP) and recurrent acute pancreatitis (ARP) in children. Method. From January 2011 to January 2021, a total of 275 pediatric patients with AP admitted to a tertiary teaching hospital were enrolled. Results. The median age of 275 children was 12.0 years. Among them, 55 cases were ARP. The leading causes of pediatric pancreatitis were biliary tract and virus infection. The percent of male in the AP group was higher than that in the ARP group. Viral infection in the AP group were higher than that in the ARP group, but anatomical abnormalities were lower than those in the ARP group. The incidence of pancreatic pseudocysts in the ARP group was higher than that in the AP group. The median interval time from AP to ARP was 3.0 months. Conclusion. The main causes of pediatric pancreatitis were biliary tract and virus infection in the study. AP caused by virus infection seems to be less likely to develop into ARP. Female and anatomical abnormality are risks of ARP. Children with ARP are more likely to be complicated with pancreatic pseudocyst. There was no difference in ICU admission or mortality between AP and ARP.
Impaired Function of a Rare Mutation in the MMUT Gene Causes Methylmalonic Acidemia in a Chinese Patient
Authors: Dai Siyu , Yang Yanting , Li Yaqian , Liu Hongqian
Published: July 2022

Methylmalonic acidemia (MMA) is an autosomal recessive metabolic disorder mainly caused by mutations in the methylmalonyl coenzyme A mutase (MCM) gene (MMUT) and leads to the reduced activity of MCM. In this study, a 3-year-old girl was diagnosed with carnitine deficiency secondary to methylmalonic acidemia by tandem mass spectrometry (MS/MS) and gas chromatography/mass spectrometry (GS/MS). Whole-exome sequencing (WES) was performed on the patient and identified two compound heterozygous mutations in MMUT: c.554C>T (p. S185F) and c.729–730insTT (p. D244Lfs

∗

39). Bioinformatics analysis predicted that the rare missense mutation of c.554C>T would be damaging. Moreover, this rare mutation resulted in the reduced levels of MMUT mRNA and MMUT protein. Collectively, our findings provide a greater understanding of the effects of MMUT variants and will facilitate the diagnosis and treatment of patients with MMA.
Patient-Controlled Intravenous Analgesia with or without Ultrasound-Guided Bilateral Intercostal Nerve Blocks in Children Undergoing the Nuss Procedure: A Randomized, Double-Blinded, Controlled Trial
Authors: Ma Bingjie , Sun Yuan , Hao Can , Liu Xiaoming , Shen Sai’e
Published: July 2022

Background. Two analgesic strategies have been described for pain treatment after the pectus excavatum surgery: the patient-controlled intravenous analgesia (PCIA) and ultrasound-guided intercostal nerve block. In this prospective, randomized and double-blinded trial and the short and long-term outcomes were compared in patients after surgery. Methods. The children were randomized to either the intercostal or control group. Ultrasound-guided intercostal nerve block was with 0.25% ropivacaine and 5 mg dexamethasone in the intercostal group, while the control group was with 0.9% normal saline. The block was performed in the intercostal space corresponding to the lowest depression of the sternum and repeated bilaterally in the spaces above and below. Postoperatively, the children in the two-groups received PCIA with fentanyl for 48 hours. The primary outcome was a pain score on the postoperative day 1, as measured by the Visual Analogue Scale (VAS). Results. Sixty children undergoing the Nuss procedure were enrolled in the trial. The mean differences in VAS scores between the two groups were 3.2 in the PACU (

p
<
0.001

), 1.7 on postoperative day 1 (

p
<
0.001

) and 0.7 on postoperative day 2 (

p
=
0.015

). The opioid consumption was significantly lower in the intercostal group during the postoperative 48 hours (

p
<
0.05

). The anxiety and QOL scores in the intercostal group were significantly improved on some points of time (

p
<
0.05

). The incidence of adverse events was markedly lower in the intercostal group during the postoperative 48 hours (

p
<
0.05

). Conclusions. Our results suggest ultrasound-guided intercostal nerve block with PCIA may be more effective than PCIA alone in children who underwent the Nuss procedure.
Effectiveness of Chinese Native Culture Education for Improving Undergraduate Nursing Students’ Transcultural Self-Efficacy
Authors: Wang Rong , Duan GongXiang , Wu YuanYuan , Su YinHua , Li JianZhi , Liao Li , Xu Huilan
Published: July 2022

Aim. The aim of this study is to evaluate the impact of Chinese native culture education based on Chinese native culture on the intercultural competence of undergraduate nursing students. Method. A quasi-experimental design with pretest and posttest was used. We recruited nursing students from 4 classes of the School of Nursing in our hospital in 2016 as research subjects. Undergraduate nursing students (

n
=
79

) who completed one semester of education in indigenous Chinese culture completed a demographic questionnaire and the transcultural self-efficacy tool (TSET). Chinese native culture education is the topics related to nursing, consistent with the culture of Chinese patients under the background of Chinese native culture, including the dietary habits, taboos, religions, values, particularly Chinese medicine, and specific diseases. The control group (

n
=
91

) was students who did not participate in Chinese native culture education and completed the instrument during the same time frame. Result. Students who participated in Chinese native cultural education significantly improved their transcultural self-efficacy in three dimensions: cognition, emotion, and practice. Compared with the control group, the students in the cultural education group had higher change scores in three sizes of transcultural self-efficacy. Conclusion. When strengthening cultural education for undergraduate nursing students, adding content related to Chinese native culture can improve their transcultural self-efficacy and meet the growing cultural needs of patients.
An Intelligent Animation Interaction Design Algorithm Based on Example and Parameterization
Authors: Wang Yingquan , Han Peng , Yang Bo
Published: July 2022

Intelligent design for the animation interaction is very challenging and needs to be resolved on priority basis. If this design is based on smart learning based mechanism, then it will be more appropriate and effective. Therefore, based on the idea of process modeling, the concrete method is based on example modeling and parameterization, and the VC programming environment is the tool. Animated interactions are not counted. The animation parameterization in the sample animation software and its attribute information are calculated, and the principle and realization process of the new animation interaction design are given, as well as the calculation method and steps of each area of animation elements. The same interaction design pattern can be filled in different areas by using parametric methods. In practice, we have increased the diversity of animation interaction design. The method proposed in this paper can quickly and automatically generate a virtual animation design network according to the user's design ideas and can be controlled by the user in real time interactively, providing a good interface and a new way for the user to design animation environment modeling.
Diagnostic Value of Prostate‐Specific Antigen Combined with Plasma miRNA‐149 Expression in Patients with Prostate Cancer Based on Experimental Data and Bioinformatics
Authors: Wang Hao , Yang Ling , Mi Ying , Wang Yanan , Ma Chunmei , Zhao Jing , Liu Ping , Gao Yu , Li Peijun
Published: July 2022

Purpose. The aim of this study is to explore the diagnostic value of prostate‐specific antigen (PSA) combined with serum miRNA‐149 expression in prostate cancer (PCa) by conducting experiments and bioinformatics analysis. Patients and Methods. 50 PCa patients were enrolled on the experimental group from January 2020 to December 2021. 56 patients with benign prostatic hyperplasia (BPH) were selected as the control group at the same time. Real‐time fluorescent quantitative PCR was applied to investigate the miRNA‐149 expression. PSA was detected by using a chemiluminescence meter using Abbott i4000. Applying bioinformatics analysis, we explored the expression of hsa‐miR‐149 in PCa in The Cancer Genome Atlas (TCGA) database. Kaplan–Meier analyses were used to evaluate the prognostic value, and the ROC curve was applied. Results. The expression level of miRNA‐149 in the PCa group was significantly higher than that in the BPH group (P < 0.05). The PSA level in the PCa group was also significantly higher than that in the BPH group (P < 0.05). TCGA data analysis revealed that PCa tissues had significantly increased hsa‐miR‐149 expression. The results of survival analysis showed that patients with high expression of hsa‐miR‐149 had better prognosis. Additionally, the pathological N stage of PCa correlates with the hsa‐miR‐149 expression level (P = 0.002). According to ROC curve analysis, the region under the curve was 0.653, 95% CI: 0.576–0.730. Conclusion. High expression of serum miRNA‐149 is associated with PCa patients. Although combined PSA did not improve the diagnostic efficacy, miRNA‐149 has high specificity in the diagnosis of PCa. miRNA‐149 might be a novel marker for early diagnosis and prognosis assessment for PCa.
Efficient Stochastic Galerkin Spectral Methods for Optimal Control Problems Constrained by Fractional PDEs with Uncertain Inputs
Authors: Shi Shengzhu , Zhang Dazhi , Li Jiamin
Published: July 2022

This paper is devoted to designing fast solvers and efficient preconditioners for the optimal control problems (OCPs) constrained by stochastic fractional elliptic equations. We first prove the existence and uniqueness of the stochastic optimal control solution and then derive the stochastic optimality system. For the numerical approximation, we use the stochastic Galerkin spectral methods, which apply the stochastic Galerkin method for the discretization of random variables and employ the spectral-Galerkin approach for the approximation of spatial variables. To solve the large coupled saddle-point system resulted from discretization, we adopt the most commonly used MINRES method and a more effective PPCG method in low-rank matrix iteration format. Specially, we develop the efficient preconditioners based on the matrix decomposition method and the virtual variable method. We also study the eigenvalue distribution of the corresponding preconditioned matrix. Besides, for the approximation of the discretized state equation, we use the mean-based approximation and the Ullmann approximation to handle different values of the variance of the random inputs. Finally, we present numerical experiments to demonstrate the effectiveness of our solvers and preconditioners.
A Resilience-Oriented Methodology for Transformation of the Distribution Networks into MicroGrid
Authors: Kia Atbin , Farzinfar Mehdi , Amirahmadi Meysam , Samieimoghaddam Mahmoud
Published: July 2022

Transformation of the distribution network, integrated with Distributed Energy Resources (DER), into a MicroGrid (MG) is an attractive approach in improving the reliability and resilience of the network. In this paper, by introducing the important and necessary aspects of the MG formation problem, an effective methodology for transformation of a distribution network into the MG is proposed. In the presented methodology, optimal allocation of DERs within MG is obtained by optimization of power losses and voltage stabilization along feeders. Moreover, the short-circuit constraints are also taken into account simultaneously while allocating DERs. The reason for the latter is that the integration of DERs alters the amplitude and direction of the short circuit current, which can cause the overall fault current to exceed the designed fault-level capability of the circuit breakers. This issue may put CBs at risk of failure and degrading MG resilience. In this regard, resilience-oriented evaluation of the MG formation, from the perspective of considering short circuit level and coordination of OCRs, is also performed. Another advantage of short circuit studies is devising complete and economic overcurrent-based protection plan for MG in both operating modes (grid-connected and islanded). It should be pointed out that adopting an appropriate control routine is a key element in the MG formation. Hence, a control strategy, based on Energy Storage System (ESS) utilization, is suggested in this paper. This feature, which is another contribution of the paper, will guarantee seamless transition to island mode and stable operation of the MG. The proposed formulation of the MG formation is solved using a modified multi-objective PSO and the Pareto-optimal set is obtained. However, since the optimal solutions are nondominated to each other, a Fuzzy Satisfaction Method (FSM) is utilized to find the optimal solution among the Pareto-set. Utilization of the proposed methodology leads to the successful transformation of the distribution network into a MG, which not only considers the load flow constraints but also preserves the optimal coordination of the protective relays and resilience of the MG. In addition, seamless transition and stable operation of the MG in island mode is achieved.
Obstetrical Challenges in Robinow Syndrome
Authors: Zhang Yingao , Casanova Marco , Shanahan Matthew , Sutton V. Reid , Fox Karin
Published: July 2022

Robinow syndrome is a genetically heterogenous syndrome that exhibits great pleiotropy, involving skeletal genital, cardiac, and craniofacial developmental anomalies. Fertility is not always compromised, and many individuals may be able to have a healthy pregnancy. Similar to other more common skeletal dysplasias and growth disorders such as achondroplasia, there are several challenges to be addressed in managing physiologic differences that occur in the context of pregnancy, and published literature centers on pregnant people with achondroplasia. We present a patient with Robinow syndrome (ROR2 variant), follow her clinical course through three of her pregnancies (one 20-week loss followed by two preterm cesarean deliveries at 36-week gestation), and highlight the major obstetrical considerations in her individualized care.
Session-Based Graph Attention POI Recommendation Network
Authors: Zhang Zhuohao , Zhu Jinghua , Yue Chenbo
Published: July 2022

Point-of-interest (POI) recommendation which aims at predicting the locations that users may be interested in has attracted wide attentions due to the development of Internet of Things and location-based services. Although collaborative filtering based methods and deep neural network have gain great success in POI recommendation, data sparsity and cold start problem still exist. To this end, this paper proposes session-based graph attention network (SGANet for short) for POI recommendation by making use of regional information. Specifically, we first extract users’ features from the regional history check-in data in session windows. Then, we use graph attention network to learn users’ preferences for both POI and regional POI, respectively. We learn the long-term and short-term preferences of users by fusing the user embedding and POI ancillary information through gate recurrent unit. Finally, we conduct experiments on two real world location-based social network datasets Foursquare and Gowalla to verify the effectiveness of the proposed recommendation model and the experiments results show that SGANet outperformed the compared baseline models in terms of recommendation accuracy, especially in sparse data and cold start scenario.
Optimization of EOR Displacement Methods Based on Multiple Factor Analysis
Authors: Li Zhongcheng , Bao Zhidong , Chen Li , Zhao Hongyu , Jiang Zenglai , Wu Hairui , Zhao Wanchun
Published: July 2022

In order to ensure that the new block can select the best displacement method, this paper determines 23 key reservoir basic parameters based on the statistical analysis of the field application of the tertiary oil recovery displacement method in typical blocks at home and abroad. The best displacement method is selected by the fuzzy evaluation method, and the correlation degree between the target block and the typical block is calculated by the improved Deng correlation method; then, the ultimate recovery rate of the target block is determined. Taking a new block of an oil field in China as an example, the optimal displacement method of three typical blocks of polymer flooding, burning oil layer flooding, and ternary composite flooding is selected by the fuzzy evaluation method; then, the improved Deng correlation method calculates that the final recovery rate of the new block using burning oil layer flooding is the tallest, and the burning oil layer flooding is selected the best way to replace the block. Based on this, the optimal results of displacement method are analyzed when porosity and air permeability of the new block reservoir are changed. The method proposed in this paper provides a calculation basis for the optimization of displacement method of the new blocks.
Towards Security Mechanism in D2D Wireless Communication: A 5G Network Approach
Authors: Gupta Divya , Rani Shalli , Singh Aman , Mazon Juan Luis Vidal
Published: July 2022

Device-to-device (D2D) communication has attracted many researchers, cellular operators, and equipment makers as mobile traffic and bandwidth demands have increased. It supports direct communication within devices with no need for any intermediate node and, therefore, offers advantage in 5G network while providing wide cell coverage range and frequency reuse. However, establishing acceptable and secure mechanism for D2D communication which ensures confidentiality, integrity, and availability is an issue encountered in this situation. Furthermore, in a resource-constrained IoT environment, these security challenges are more critical and difficult to mitigate, especially during emergence of IoT with 5G network application scenarios. To address these issues, this paper proposed a security mechanism in 5G network for D2D wireless communication dependent on lightweight modified elliptic curve cryptography (LMECC). The proposed scheme follows a proactive routing protocol to discover services, managing link setup, and for data transfer with the aim to reduce communication overhead during user authentication. The proposed approach has been compared against Diffie–Hellman (DH) and ElGamal (ELG) schemes to evaluate the protocol overhead and security enhancement at network edge. Results proved the outstanding performance of the proposed LMECC for strengthening data secrecy with approximate 13% and 22.5% lower overhead than DH and ELG schemes.
The Value of 320-Slice Spiral Computed Tomography Perfusion Imaging in Staging and Long-Term Dynamic Evaluation of Breast Cancer
Authors: Geng Hequn , Zhang Zhilin , Zhang Xiaochen , Liang Zhandong , Li Yong , Cui Shujun
Published: July 2022

The value of 320-slice spiral computed tomography (CT) perfusion imaging in staging and long-term dynamic evaluation of breast cancer was explored. 120 breast cancer patients who underwent preoperative CT examination and were confirmed by surgery and pathology were selected. All patients underwent preoperative TNM staging of breast cancer, with 120 cases in each stage. According to the results of 320-slice spiral CT, the postoperative pathology and surgical methods were compared and analyzed. CT diagnosis of breast cancer showed that T1 sensitivity was 71% and accuracy was 61%, T2 sensitivity was 74% and accuracy was 64%, T3 sensitivity was 94% and the accuracy was 84%, and the T4 sensitivity was 100% and the accuracy was 91%. The sensitivity of N1 stage was 71%, and the accuracy was 61%; and the sensitivity of N2 ~ N3 stage was 81%, and the accuracy was 76%. There were 7 cases of M1 with distant metastasis, the sensitivity was 71%, and the accuracy was 71%. At T1 stage, blood flow (BF) was

39.2
±
16.7

 mL/min/100 g, blood volume (BV) was

2.66
±
1.4

 mL/100 g, mean transit time (MTT) was

8.16
±
2.7

 s, and permeability surface (PS) was

16.6
±
9.7

 mL/min/100 g. 320-slice spiral CT perfusion imaging technology provided a new diagnostic mode for everyone, which can quantitatively identify breast cancer with multiple parameters, which was of great significance for clinical auxiliary diagnosis.
Wilkie’s Syndrome following Chemotherapy: A Case Report and a Review of Literature
Authors: Corsi Nicholas J. , Abu-Heija Ahmad A. , Ravi Anand Kumar , Corsi Matthew P. , Ehrinpreis Murray N.
Published: July 2022

Superior mesenteric artery (SMA) syndrome is a rare etiology of upper gastrointestinal obstruction. The measured angle between the SMA and the aorta is typically between 38 and 65° and maintained by mesenteric fat. Excessive fat loss can lead to intestinal obstruction due to an exaggerated acute angularity of the SMA, compressing the third part of the duodenum. We present a 22-year-old female with a history of aplastic anemia, status post bone-marrow transplant, who presented with intractable nausea and had confirmed SMA syndrome on CT angiography. Subsequently, the patient underwent nasogastric decompression and successful laparoscopic duodenojejunostomy.
The Effectiveness Evaluation Method of Regional Digital Economy Innovation Model Based on Intelligent Computing
Authors: Shan Shifu , Pan Jingru
Published: July 2022

Digitalization is a long-standing concern in modern industrial engineering. At present, there is no widely recognized standard for the connotation and definition of digital economy, the scope of digital economy is difficult to be defined. This paper conducts an evaluation study on the development level of the digital economy, which mainly contains two parts: first, a comprehensive digital economy; second, a study on the influencing factors. This paper first summarizes the connotation of the digital economy and digital economy evaluation-related research, extracts the influencing factors of digital economy development, and adopts partial least squares (PLS) path model to verify the hypotheses from five dimensions: basic resources, integration development, innovation capacity, social benefits, and network security. It also has an indirect impact on integrated development by influencing innovation ability; innovation capability has a significant positive impact on convergence development; convergence development has a significant positive impact on social benefits; both convergence development and social benefits have a significant negative impact on cybersecurity. Finally, based on the above research results, corresponding countermeasures and suggestions are proposed for the development of the regional digital economy.
Visual UI Design Image Sharing Scheme Based on Improved FEMD Algorithm
Authors: Shen Danni , Dong Yu
Published: July 2022

Based on the improvement of the FEMD algorithm, this article assumes a reversible sharing scheme that can encrypt images. UI design is the most important part of Internet applications, including three parts, namely, interaction design, interface design, and user research. Therefore, the UI directly affects the user experience. It is precisely based on the criticality and importance of the UI algorithm that we intend to further explore the most critical expression language in the product and to innovate the most important visual factors by further digging into the user’s demands for the product. The three most important colors in the UI design process are colors, pictures, and text. And interaction design is the most important and critical part of UI design. We need to explore the dynamic relationship among applications, humans, and machines. For visual design, we not only need to deal with the relationship between application, human, and machine, but also better deal with the relationship between plane, time, and space on the basis of these three relationships. Our innovative interface for the UI algorithm is mainly to innovate the first interface that the user obtains, so that the user can get a better reading experience and browse, and the designer can beautify and collect the user interface to achieve the user the purpose of obtaining a better browsing sensory experience. This requires us to get rid of the old copy model, in order to innovate in thinking; innovate a better visual communication interface, and better integrate the user’s research interface design and interaction, which is also the pursuit of this article.
Investigation of the Relationship between Chronic Endometritis Manifestations under Hysteroscope and CD138 Expression
Authors: Wang Shuang , Li FengHua , Zhang Wei , Sui XiaoLong , Hao CuiFang
Published: July 2022

Background and Objective. Chronic endometritis (CE) displays different manifestations under hysteroscope and yields different CD138 immunohistochemistry (IHC) outcomes. This study was designed to probe links across different CE manifestations under hysteroscopy and the IHC outcome of CD138, as well as the efficacy of antibiotic treatment. Methods. This study was performed to retrospectively analyze clinical cases of 523 CE patients from January 2018 to June 2020 that were confirmed by hysteroscopy before in vitro fertilization. Based on manifestations of CE under hysteroscopy, the cases were divided into three cohorts, i.e., hyperemia cohort where the patients had diffuse endometrium hyperemia; endometrial micropolyp cohort, and endometrial stroma edema and hyperplasia cohort. Small amount of endometrial tissue was collected from the patients, and CD138 IHC examination was performed. According to the results of CD138 IHC, positive patients were given antibiotic treatment (doxycycline 100 mg BID orally for 14 days), and hysteroscopy was performed again after treatment to check the efficacy of antibiotics. Results. In the comparison of overall status for all patient cohorts, infertility type, BMI, bFSH, bLH, bP, bT, PRL, AMH, and CA125 were varied markedly across all cohorts (

P
<
0.05

), with predominant incidences of polycystic ovary syndrome (PCOS) peaking within hyperemia cohort. Incidence/diagnostic rate for CD138 within hyperemia cohort was 10.06%, which was lower than the 63.16% in micropolyp cohort and 74% in edema and hyperplasia cohort (

P
<
0.05

). No major variation existed within CD138 across micropolyp cohort/edema and hyperplasia cohort (

P
>
0.05

). After CD138-positive CE patients were treated with antibiotics, the effective rate (0/16) within hyperemia cohort was lower than micropolyp cohort (73.61%, 53/72) and edema and hyperplasia cohort (83.24%, 154/185) (

P
<
0.05

). The effective rate across micropolyp cohort/edema and hyperplasia cohort was not significantly different (

P
>
0.05

). Conclusion. Cases of diffuse endometrial hyperemia under hysteroscope had the lowest positive rate of CD138, and the effect of antibiotic treatment on these patients was poor. The positive rate of CD138 in patients with endometrial micropolyps and endometrial stroma edema and hyperplasia under hysteroscope was high, and the effect of antibiotic treatment was better.
A Systematic Overview of the Machine Learning Methods for Mobile Malware Detection
Authors: Kim Yu-kyung , Lee Jemin Justin , Go Myong-Hyun , Kang Hae Young , Lee Kyungho
Published: July 2022

With the deployment of the 5G cellular system, the upsurge of diverse mobile applications and devices has increased the potential challenges and threats posed to users. Industry and academia have attempted to address cyber security challenges by implementing automated malware detection and machine learning algorithms. This study expands on previous research on machine learning-based mobile malware detection. We critically evaluate 154 selected articles and highlight their strengths and weaknesses as well as potential improvements. We explore the mobile malware detection techniques used in recent studies based on attack intentions, such as server, network, client software, client hardware, and user. In contrast to other SLR studies, our study classified the means of attack as supervised and unsupervised learning. Therefore, this article aims at providing researchers with in-depth knowledge in the field and identifying potential future research and a framework for a thorough evaluation. Furthermore, we review and summarize security challenges related to cybersecurity that can lead to more effective and practical research.
The Q‐Space Deformed Wave Equation
Authors: Elamin Mahjoub A. , Khalifa Narjess Turki , Altoum Sami H.
Published: July 2022

Let q ∈ (0,1). We know that, when q tends to 1, we recover “classical” quantum mechanics. However, when q is not equal to one, we have a theory of quantum mechanics in a spacetime, i.e., a theory where the vacuum has a nonzero energy density. As a q‐analogue on the space variable of the wave equation, we introduce the q‐space wave equation. Solutions of these equations are given for q ∈ (0,1) and for q⟶0. Since some states have more spin degrees of freedom than the physical particle has, the q‐space wave equations remove the additional degrees of freedom.
Profiling the Use of Complementary Alternative Medicines among Inflammatory Bowel Disease Patients: Results from a Single Center Survey
Authors: Sudhakar Padhmanand , Keersmaekers Bep , Stiers Rita , De Dycker Els , Geens Patricia , Paps Ariane , Lambrechts Tessy , Wellens Judith , Sabino João , Ferrante Marc , Vermeire Séverine , Verstockt Bram
Published: July 2022

Background. Complementary and alternative medicines (CAMs) are used by patients with chronic disorders, such as inflammatory bowel disease (IBD), with a desire to manage their disease. Methods. Patients visiting an IBD outpatient clinic and infusion unit in a tertiary referral center were surveyed through an anonymized Dutch version of the international questionnaire to measure the use of CAMs. Results. Of the 467 IBD patients who responded to the survey, 41.8% (

n
=
195

) reported the use of CAMs. Gender (

p
=
0.03

, higher in females), educational qualification (

p
=
0.02

, higher in more educated patients), and number of prior IBD medical treatments (

p
=
0.05

, higher in patients having received more than one therapy) were significantly associated with CAM usage. Overall, there was no significant difference in CAM-usage between UC (45.3%) and CD (38.2%) patients. Over two-thirds of patients reported using CAMs to alleviate IBD-related symptoms. The most prevalent reason for CAM-usage was to minimize stress and symptoms. The top five nonsupplemental CAMs used by IBD patients included probiotics, curcumin, yoghurt, homeopathy, and yoga. Among CAMs with a minimum of 25 users, yoga (93.5%), cannabis (87.5%), and mindfulness (84.6%) had high self-reported efficacy indices. Fifty-six percent of the patients who affirmed the economic worthiness of CAMs expressed their interest to consult with their gastroenterologist about CAM-conventional therapy interactions. Conclusion. CAM usage in IBD patients is highly prevalent, and consultation of the patients with the gastroenterologist about the use of CAMs is warranted. Since CAMs can interact with conventional therapies, a debate could help optimizing CAM use, eventually resulting in better disease management.
WNT Medulloblastoma Limbo: How Low Can We Go?
Authors: Remke Marc , Ramaswamy Vijay
Published: July 2022

Survival rates for average-risk medulloblastoma exceed 80%; however, long-term sequelae are substantial. A study from Mumbai, India evaluated the role of omission of craniospinal irradiation. Albeit unsuccessful, this study raises the crucial question of how low therapy can be safely de-escalated with the intent of improving quality of survival.

See related article by Gupta et al., p. 4180