bluuebunny/crossref_metadata_2025 huggingface dataset:
Review—Goodenough-Kanamori-Anderson Rules-Based Design of Modern Radio-Frequency Magnetoceramics for 5G Advanced Functionality
Authors: Harris Vincent G. , Andalib Parisa
Published: May 2022

5th generation (5G) wireless technologies promise a transition from 4G 2.3 GHz to Ka-band (i.e., 28–33 GHz) frequencies and the promise of revolutionary increases in data handling capacity and transfer rates at greatly reduced latency, among other benefits. A key enabling 5G technology is the development of massive multiple input—multiple output (m-MIMO) antenna arrays where array elements simultaneously transmit and receive (STAR) data providing true full duplexing in time and frequency domains. Small cells, i.e., mobile and stationary base stations used to supplement existing 4G network infrastructure to boost signals in dense urban environments, will provide coverage over smaller areas to efficiently transmit signals over the millimeter wave spectrum. In order to realize these extraordinary advances, key materials must be developed, chief among them RF magnetoceramics. Here, we describe application of the long-standing Goodenough-Kanamori-Anderson rules for superexchange as guiding principles in the design of next generation magnetoceramics to meet the challenges of 5G wireless communication technologies and their timely implementation.
A Novel Vertically Stacked Circular Nanosheet FET for High-Performance Applications
Authors: Kallepelli Sagar , Maheshwaram Satish
Published: May 2022

Nanosheet MOSFETs with circular layout geometry, i.e. Circular Nanosheet MOSFETs (C-NSFETs) are explored using fully calibrated TCAD for High performance (HP) applications at 10 nm gate length. The DC parameters such as drive current (ION), leakage current (IOFF), ION/OFF current ratio, Subthreshold slope (SS), and Drain-induced-barrier lowering (DIBL) are extracted. Further, we analyzed the behavior of C-NSFETs by vertically stacking the number of sheets (2-sheet, 3-sheet, and 4-sheet) and named stacked Circular Nanosheet MOSFETs (SC-NSFETs) and also compared the variations of their DC FOMs (figures of merit), is observed that the device drive current level is further improving by stacking of multiple Nanosheets within the same foot-print. The drive current of the device with the stacking of 4 sheets has an improvement of ∼4 times when compared to single sheet C-NSFET.
Using Android Platform for Conducting Ideological and Political Education in Colleges and Universities
Authors: Rui Ji
Published: May 2022

Due to advancements in information technology, handheld computers and smartphones have progressively supplanted desktop computers and older mobile phones. Due to the development and use of a series of mobile device operating systems such as Android, IOS, Harmony, Windows OS, and Symbian, mobile education comes into being. For this purpose, this article develops an ideological and political online classroom mobile learning system based on an Android application. The study created a set of mobile teaching systems based on open-source Android technology and C/S (Client-Server) architecture. Given its typical teaching time, the system is dedicated to the teaching of courses, with registration and login, notice and announcement, course information release, questions and answers, teaching resources display and projection, and other functions. It can also serve as a platform for pupils to learn independently. Following the practical application in ideological and political teaching, the system runs well, functions normally, can meet the needs of students to learn in a personalized and dispersed manner, and effectively speeds up the teaching network and intelligence process. It also has a high application value. It combines network teaching and traditional classroom to create a new education model. The purpose is to effectively assist the development of ideological and political mobile education that can be used as a reference point. Finally, this study examines the system architecture and core modules and presents an Android-based solution for a mobile client of a teaching resource library. It uses the teaching resource library of the school as an example to implement the system, which has some reference value for the study of mobile campus applications and mobile learning systems.
Analysis and Countermeasure Research of Modern English Teaching Problems Based on Data Mining Technology
Authors: Yang Shuang
Published: May 2022

In order to improve the effect of English teaching reform, this paper combines data mining technology to analyze the modern English teaching process and formulate corresponding strategies. Moreover, this paper uses the parameter covariance moment drop as a performance indicator to evaluate the data points in the sample set and obtain the preliminary clustering of the data points. At the same time, this paper adjusts the initial accumulation of data points, including merging and deleting clusters, and this paper assigns missing data points and corrects data points that are incorrectly clustered. In addition, this paper adopts the LSVM method to segment the interval and constructs the system structure on the basis of this data analysis. Through the simulation teaching research, we can see that the problem analysis and countermeasure research system of modern English teaching based on data mining technology proposed in this paper meet the needs of modern English teaching reform.
Factors Affecting Adoption of Online Community Water User Participation
Authors: Sukma Narongsak , Leelasantitham Adisorn
Published: May 2022

Social networks are the most extensively utilized online virtual communities. It is a technology platform that is currently used to interact with other members of any virtual online community, including preserving social ties. This study is aimed at determining the elements that influence the participation of water users in the online community. It suggests combining the commitment-trust theory with the technology acceptance model (TAM) to include stakeholders, social networks, and transparency about content and user perceptions to better understand the elements that influence the online community and user participation. A questionnaire with a five-point Likert scale was issued to 1,000 community water consumers, and the researcher received 627 valid responses. Data were collected using a basic random sampling technique with a sampling ratio of 14 villages. Subsequently, descriptive statistics characterize the data (frequency distributions, percentages, averages, medians, and standard deviations). Furthermore, PLS-SEM was utilized to study the interactions between variables and launch the conceptual model via partial least square (PLS) path modeling. This study reveals that community water user engagement is founded on a commitment-trust paradigm that acts as an effective role model for community participation behavior. The results and consequences are discussed at length in the discussion section, which offers valuable recommendations. This article discusses overcoming ethical divisions in community water management through increased communication between customers and community water management teams using social media networks. Additionally, several elements contribute to the monitoring and supervision advancement, boosting the openness of community water management.
Fault Tolerance Byzantine Algorithm for Lower Overhead Blockchain
Authors: Almakki Riyad , AlSuwaidan Lulwah , Khan Shakir , Baig Abdul Rauf , Baseer Samad , Singh Manmohan
Published: May 2022

A new algorithm for practical Byzantine fault tolerance (PBFT), called score-PBFT or S-PBFT, is proposed to solve the problems of high communication overhead and low algorithm efficiency. This algorithm is based on the characteristics of the consortium chain. The scoring mechanism for nodes is added. All the nodes are broken up into consensus nodes, candidate nodes, and early nodes. To make sure the consensus nodes are as reliable as possible, the nodes are changed dynamically based on how each node is behaving. Improved: the election method for the controller node has been changed. The node’s score and behaviour are used as the election basis to make the algorithm more stable. In this paper, we want to improve the consensus protocol’s execution process, cut down on how many nodes are involved in the consensus process, simplify it, and make it more efficient. Results show that, when compared with the PBFT algorithm, the S-PBFT algorithm has a shorter consensus delay, less communication overhead and throughput, and better consensus node reliability.
Reinforcement Learning-Based Path Planning Algorithm for Mobile Robots
Authors: Liu ZiXuan , Wang Qingchuan , Yang Bingsong
Published: May 2022

A robot path planning algorithm based on reinforcement learning is proposed. The algorithm discretizes the information of obstacles around the mobile robot and the direction information of target points obtained by LiDAR into finite states, then reasonably designs the number of environment model and state space, and designs a continuous reward function, so that each action of the robot can be rewarded accordingly, which improves the algorithm and improves the training efficiency of the algorithm. Finally, the agent training simulation environment is built on gazebo, and the training results verify the effectiveness of the algorithm. At the same time, the navigation experiment is carried out on the actual robot. The experimental results show that the algorithm can also complete the navigation task in the real environment.
Application of Improved SMOTE and XGBoost Algorithm in the Analysis of Psychological Stress Test for College Students
Authors: Du Wei
Published: May 2022

To address the phenomenon of serious psychological stress among college students, there are problems of high cost and subjectivity in assessing psychological stress by collecting physiological data, and this paper proposes a stress assessment method (Improved SMOTE + XGBoost) based on intelligent data collection, which divides stress levels into five levels. In the process of processing a large amount of data, there will be too little data. Therefore, this paper applies the improved SMOTE method to the data preprocessing, which can reduce the difficulty of collecting psychological stress test data while ensuring the amount of data. Firstly, we extracted features from cell phone data to generate samples, processed the samples by SMOTE, and then filtered features by XGBoost algorithm to filter features; meanwhile, we trained RF, SVM, BP, and KNN with the data before and after sampling and before and after feature screening, and the results showed that Improved SMOTE + XGBoost outperformed other methods.
Plasma Levels of Vitamin A in Early Pregnancy and Correlationship with Hypertensive Disorder
Authors: Lv Jing , Wang Yunfeng , Zhao Yuhua , He Yingdong , Yang Huixia , Zhang Huijing , Wang Xiaoyu
Published: May 2022

Objective. Analyzing the vitamin A content in early pregnancy and finding out the relationship between the serum levels of vitamin A of pregnant women and hypertensive disorder. Method. A total of 4,188 pregnant women who had took part in vitamin A testing in Miyun District Hospital from November 2016 to March 2020 were collected. The serum levels of vitamin A were determined by high performance liquid chromatography, and clinical and testing data were collected for statistical analysis. The original data outcome was finally analyzed with the SPSS. Results. 266 Hypertensive disorder cases and 2836 normal pregnancy cases were analyzed with 27 cases of twin pregnancy, 315 cases without follow-up and 744 of diabetic pregnancies excluded. The 266 women were divided into four groups: 110 women were diagnosed gestational hypertension, 65 women were diagnosed preeclampsia, 78 women were diagnosed pregnancy with chronic hypertension, and 13 women were diagnosed chronic hypertension with preeclampsia. The results shows that vitamin A level of the hypertensive group was 0.46(±0.08) mg/L, 0.47 (±0.012) mg/L, 0.47 (±0.09) mg/L, and 0.52 (±0.012) mg/L, respectively, while the level of normal group was 0.44 (±0.09) mg/L. We found that there were differences between the normal pregnant group and the preeclampsia group with statistical significance (

P
<
0.05

). The difference between the pregnancy with chronic hypertension group and the normal group was statistically significant (

P
<
0.05

). The difference between the chronic hypertension with preeclampsia group and the normal group was also statistically significant (

P
<
0.05

). Conclusion. Serum levels of vitamin A in early pregnant women have a certain correlation with the hypertensive disorder.
Methods to Improve the Efficiency of Rural Physical Education Teaching Resources Allocation and Utilization in the Context of Artificial Intelligence
Authors: Zhou Fujian
Published: May 2022

School physical education is an important part of school education, and physical education resources are the overall measure of a school's physical education level. Rural schools are limited by environmental constraints, especially the lack of physical education resources verification. Therefore, the allocation and utilization efficiency improvement of rural physical education resources are an important element of rural physical education construction. With the mature development of artificial intelligence technology, it has great potential for application in the field of cultural education. Artificial intelligence technology has the advantages of ease of use, strong self-adaptation, and excellent generalization ability, and it is selected for data processing in this paper. Using artificial intelligence technology, the study of sports informatization to help rural sports development and rational utilization of resources can help rural sports education development, rural sports industry prosperity, rural sports talent revitalization, rural sports governance system improvement, and governance capacity enhancement. The artificial intelligence raindrop algorithm, which can automate the statistics of all relevant factors and derive results based on data fusion, was selected as the core algorithm of this paper. Therefore, this paper proposes an intelligent algorithm for allocating and improving the efficiency of rural sports teaching resources so as to improve the informatization level of the rural sports industry, promote industrial integration based on local needs, accelerate the “online urban-rural integration” in rural sports education, rural fitness guidance, and rural recreation and medical care, and rely on multiple entities. We will support the new model of sports informatization to empower rural sports teaching development by relying on the collaboration of multiple entities.
Influence of Weak Compressibility on the Hydrodynamic Performance Evaluation of Pump Turbines in the Pump Mode
Authors: Zhang Fangfang , Li Na , Zhu Di , Xiao Ruofu , Liu Weichao , Tao Ran
Published: May 2022

In general, weak compressibility is one of the properties of liquids. That is, in actual operation of hydraulic machinery, the flow is weakly compressible. However, the influence of weak compressibility is often neglected in usual numerical simulation, which makes the simulation results different from the experimental results. Based on the Computational Fluid Dynamics (CFD) solver and model test rig, by means of mutual verification between numerical simulation and experiment, the fitting degree between numerical results and experimental results before and after considering weak compressibility is compared and analyzed in this paper; it is obtained that the numerical results is closer to the experimental results after considering the weak compressibility. In addition, velocity field of pump turbines, head loss of main components, and the change of entropy yield are analyzed and reasons for numerical value being closer to the experimental value after considering weak compressibility of fluid are summarized and analyzed. It is proved that the consideration of weak compressibility is of great significance to improve the accuracy of results in the numerical simulation of pump turbines.
Op2Vec: An Opcode Embedding Technique and Dataset Design for End-to-End Detection of Android Malware
Authors: Khan Kaleem Nawaz , Ullah Najeeb , Ali Sikandar , Khan Muhammad Salman , Nauman Mohammad , Ghani Anwar
Published: May 2022

Android is one of the leading operating systems for smartphones in terms of market share and usage. Unfortunately, it is also an appealing target for attackers to compromise its security through malicious applications. To tackle this issue, domain experts and researchers are trying different techniques to stop such attacks. All the attempts of securing the Android platform are somewhat successful. However, existing detection techniques have severe shortcomings, including the cumbersome process of feature engineering. Designing representative features require expert domain knowledge. There is a need for minimizing human experts’ intervention by circumventing handcrafted feature engineering. Deep learning could be exploited by extracting deep features automatically. Previous work has shown that operational codes (opcodes) of executables provide key information to be used with deep learning models for the detection process of malicious applications. The only challenge is to feed opcodes information to deep learning models. Existing techniques use one-hot encoding to tackle the challenge. However, the one-hot encoding scheme has severe limitations. In this paper, we introduce (1) a novel technique for opcodes embedding, which we name Op2Vec, and (2) based on the learned Op2Vec, we have developed a dataset for end-to-end detection of Android malware. Introducing the end-to-end Android malware detection technique avoids expert-intensive handcrafted feature extraction and ensures automation. Some of the recent deep learning-based techniques showed significantly improved results when tested with the proposed approach and achieved an average detection accuracy of 97.47%, precision of 0.976, and F1 score of 0.979.
Comparative Analysis of Agro Waste Material Solid Biomass Briquette for Environmental Sustainability
Authors: Velusamy Sampathkumar , Subbaiyan Anandakumar , Murugesan Senthil Rajan , Shanmugamoorthy Manoj , Sivakumar Vivek , Velusamy Parthiban , Veerasamy Senthilkumar , Mani Kanitha , Sundararaj Premkumar , Periyasamy Selvakumar
Published: May 2022

The agro waste briquettes produced from sorghum panicle and pearl millet with corn starch as the binder with varied proportions were compared with the other agro briquettes, and the elemental analysis of SP-PM briquettes was compared with the agro waste, palm kernel shell, soybean waste, mango leaves, rice husk, spruce, and coffee husk briquettes. The TGA results of SP-PM briquettes were compared with the corn leaf, baggase, almond shell, banana leaves, banana pseudostem, pineapple leaf, stem and root, low rank coal, bituminous coal, cotton stalk, and wheat straw. The DSC analysis that was carried out for SP-PM briquettes were compared with the rice husk char, spent coffee ground, wood chips, saw dust, wood straw, Tomsk peat, Sukhovskoy peat, Arkadievsky peat, nutshell, and bran. Thus, the briquettes made out of sorghum panicle and pearl millets are compared with the other biomass briquettes for its efficiency and its quality. Thus, the briquettes made out of sorghum panicle and pearl millets are compared with the other biomass briquettes for its efficiency and its quality.
Analysis of Risk Factors and Nursing Strategies for Postoperative Hemorrhage of Benign Prostatic Hyperplasia
Authors: Jin Shanshan , Liu Zhaoyue , Liu Yan , Wu Jingzhang , Yu Qian
Published: May 2022

This study is to investigate the risk factors analysis and nursing strategies for postoperative bleeding of benign prostatic hyperplasia (BPH). Totally, 240 BPH patients after surgical excision admitted to Hengshui People’s Hospital between January 2019 and January 2020 were recruited. Of the 240 BPH patients, 20 had postoperative bleeding, accounting for 8.3% of all enrollments. Risk factors for postoperative bleeding included large prostate, diabetes, hypertension, urinary tract infection within 1 week before surgery, and the absence of epidural analgesia pumps. There were 87 patients receiving routine nursing (routine group) and 153 patients receiving routine nursing plus hemorrhage prevention care (study group). The study group had fewer cases of postoperative bleeding than the routine group. The influencing factors of postoperative bleeding in patients with prostatic hyperplasia include systemic and local factors, and corresponding hemorrhage prevention care should be performed based on the principle of evidence-based care to reduce the risk of postoperative bleeding.
Association of Beta-Thalassaemia and Hypogonadotropic Hypogonadism
Authors: Vidal Angela , Dhakal Carolin
Published: May 2022

Thalassaemic syndromes are among the most common haemoglobinopathies and are associated with high morbidity and mortality. Because of the various treatments, a secondary endocrinopathy due to iron overload—haemosiderosis—can occur, causing hypopituitarism leading to hypogonadotropic hypogonadism (HH) and infertility. We present a case of secondary amenorrhoea in a patient with beta-thalassaemia and a history of multiple therapies in her adolescence, such as multiple transfusions, chemotherapy, and allogeneic bone marrow transplantation, who presented with HH and premature ovarian insufficiency.
Effect of MnOx/α-Fe2O3 Prepared from Goethite on Selective Catalytic Reduction of NO with NH3
Authors: Zhou Huimin , Qian Lili , Cheng Ting , Du Bo , Xia Fengjie , Zhu Chengzhu
Published: May 2022

A low-cost goethite and manganese acetate were used to prepare a MnOx/α-Fe2O3 composite catalyst by simple impregnation method for novel high-efficiency selective catalytic reduction (SCR) of NO with NH3, and its denitration performance of composite catalyst under different conditions was investigated in a thermal fixed-bed catalytic reaction system. The results showed that MnOx/α-Fe2O3 with Mn/Fe molar ratio of 0.1 and calcination temperature of 400 °C had the best low-temperature catalytic activity and wider reaction temperature window compared with α-Fe2O3. It achieved over 90% NO conversion efficiency with a space velocity of 72,000 h−1 at 200~350 °C and possessed a good resistance of H2O and SO2. Characterization by XRD, BET, H2-TPR, and NH3-TPD revealed that the main reason for the high catalytic activity of MnOx(0.1)/α-Fe2O3(400) was that the addition of Mn changed phase types of catalyst and valence composition of Fe, resulting in a larger specific surface area, more acidic sites, and higher redox performance.
Mutational Screening of Skeletal Genes in 14 Chinese Children with Osteogenesis Imperfecta Using Targeted Sequencing
Authors: Tan Wei , Ji Yuelun , Qian Yuepeng , Lin Yongchang , Ye Ruolian , Wu Weiping , Li Yibin , Sun Yongjian , Pan Jianyin
Published: May 2022

Background. As a heterogeneous hereditary connective tissue disorder, osteogenesis imperfecta (OI) is clinically characterized by increased fracture susceptibility. Analysis of genetic pathogenic variants in patients with OI provides a basis for genetic counseling and prenatal diagnosis. Methods. In this study, 14 diagnosed OI patients from sporadic Chinese families were enrolled to be screened for potential mutations from these patients by next-generation sequencing technology. Results. 34 different variants were identified. 18 variants were from 4 OI-related genes including COL1A1, COL1A2, P3H1, and WNT1, and 10 variants are novel. Most OI patients (11 out of 14, 78%) harbor variants in type I collagen genes. Conclusions. Our results support previously established estimates of the distribution and prevalence of OI mutations and highlight both phenotype and genetic heterogeneity among and within families. We report several novel variants of OI, which expands the clinical spectrum of OI. In summary, our data provides disease-causing genes information for genetic counseling towards OI patients and families and also provides a reference for clinicians in the diagnosis of OI, also in prenatal diagnosis of this disease.
Subordination Method for the Estimation of Certain Subclass of Analytic Functions Defined by the
q
-Derivative Operator
Authors: Rahmatan Hormoz , Shokri Ali , Ahmad Hijaz , Botmart Thongchai
Published: May 2022

In this paper, we investigate an interesting class of analytic and biunivalent functions in the open unit disk

Δ

which is defined using the

q

-derivative operator. We apply the subordination method to the functional of coefficients problem. Furthermore, we obtain the bounds of the certain functional of coefficients for functions in the class

H

Σ

q

λ
,
β

, for real and complex parameters. Also, an estimation for the initial Taylor and Maclaurin coefficients of functions in

H

Σ

q

λ
,
α

was given.
Research on Performance Optimization Method of UAV Communication Link in Emergency Communication Environment
Authors: Li Ju , Shang Fengjun
Published: May 2022

Aiming at the problem of long average delay of traditional UAV emergency communication, a performance optimization method of UAV communication link based on emergency communication environment is proposed. The target tasks in the emergency communication channel are divided into different target task groups. According to the distance between the target tasks in the target task group, the symmetric matrix is constructed, all elements in the symmetric matrix are classified, and the classification results are calculated by ant colony algorithm to construct the emergency communication task scheduling model of UAV. Combined with the emergency communication task scheduling model and the demand, priority, time window, and communication ability of UAV emergency scheduling task, the time delay control of UAV emergency communication is realized with the goal of maximizing the efficiency of UAV task execution, maximizing the completion rate of UAV task execution and minimizing the risk of UAV delay. The experimental results show that the average delay of the three methods also increases. When the system load is 50%, the average delay of common methods is 23 ms, the average delay of traditional methods is 76 ms, the average delay of the method proposed in this paper is 26 ms, and the common average delay is the shortest. When the system load is 99%, the common methods cannot realize emergency communication scheduling due to system load overshoot, and the corresponding average delay cannot be considered, indicating that the common methods are unstable. The average delay of the method proposed in this paper is stable under different system loads and always remains below 40 ms. It is proved that compared with the traditional methods, the method proposed in this paper takes less time for UAV emergency communication and has less average delay under different system loads, so it has better application value.
Impacts of COVID‐19 on the Return and Volatility Nexus among Cryptocurrency Market
Authors: Sui Xin , Shi Guifen , Hou Guanchong , Huang Shaohan , Li Yanshuang
Published: May 2022

The impacts of COVID‐19 have spread rapidly to global financial markets. In this context, combining the spillover index method introduced by Diebold and Yilmaz (2012) and the complex network analysis framework, we examined the volatility connectedness and the topological structure among the top ten cryptocurrencies before and during the COVID‐19 crisis. The results revealed that the total volatility connectedness of the cryptocurrency market markedly increased following the outbreak of COVID‐19; statically, Bitcoin, Ethereum, Cardano, and Bitcoin Cash were the net transmitters before COVID‐19, while Bitcoin, Ethereum, Ripple, Litecoin, Cardano, and Stellar became the major net transmitters in the market after COVID‐19. Dynamically, the dynamic performance of different cryptocurrencies during the COVID‐19 pandemic was heterogeneous, and the possible driving factors are diverse. Moreover, from network analysis, we further found that the COVID‐19 crisis has significantly changed the topological structure of the cryptocurrency market. Our findings may help understand the typical dynamics in the cryptocurrency market and provide significant implications for portfolio managers, investors, and government agencies in times of highly stressful events like the COVID‐19 crisis.
Defected Circular-Cross Stub Copper Metal Printed Pentaband Antenna
Authors: Kandasamy Anguraj , Rengarasu Saravanakumar , Kitti Burri Praveen , Palanisamy Satheeshkumar , Kavin Kumar K. , Baladhandapani Aruna Devi , Alemayehu Mamo Samson
Published: May 2022

A pentaband antenna is presented based on the conducting copper material printed on an FR4 substrate for the applications operating in the Gigahertz frequencies. The antenna has a substrate material with a dielectric constant of 4.4. The conducting copper is printed on the FR4 substrate acting as the radiating element and ground. The antenna radiating element has a defected circular structure with a cross stub. The proposed structure is operating at 2.64 GHz, 4.87 GHz, 7.86 GHz, 10.74 GHz, and 13.67 GHz. The antenna is simulated using CST software. The antenna is fabricated and validated with the measurement of return loss. The antenna simulated results like surface current distribution, gain, directivity, and radiation pattern prove that the proposed structure with its compact size is the right candidate for the GHz application.
[Retracted] Hyperbaric Oxygen Improves the Survival and Angiogenesis of Fat Grafts after Autologous Fat Transplantation
Authors: Liu Fei , Liang Zhi , Cui Ye , Lin HaiBo , Guo ZhengDong , Qin WangChi , Cheng Bin , Yang WeiGuo
Published: May 2022

Objective. Currently, autologous fat transplantation (AFT) still has a low graft survival rate. Elevation of the AFT graft survival rate is a challenge. This study investigated the effect of hyperbaric oxygen (HBO) on AFT. Methods. Twelve adult male SD rats were randomly divided into two groups after AFT: the control group (n = 6) and the HBO group (n = 6). The rats were killed at 7, 14, and 28 days after transplantation to take the transplanted adipose tissues. The volume and weight of the tissues were detected. The pathological changes in the adipose tissues were observed after H&E staining. Microvessel density and levels of transforming growth factor‐ (TGF‐) β, tumor necrosis factor‐ (TNF‐) α, and malondialdehyde (MDA) in the transplanted adipose tissues were measured with CD31 immunohistochemical stain, ELISA, and biochemical reagents, respectively. Additionally, the protein expression levels of vascular endothelial growth factor‐ (VEGF‐) A and platelet‐derived growth factor‐ (PDGF) A in the adipose tissues were detected by Western blot. Results. HBO significantly preserved the volume and weight of the transplanted adipose tissue (p < 0.01) and maintained the pathological structure of the transplanted adipose tissue. HBO therapy was effective in reducing inflammatory factor (TGF‐β and TNF‐α) levels and oxidative stress (MDA) in the transplanted adipose tissue (p < 0.01) and significantly increased the level of CD31 and angiogenesis‐related factors including VEGF‐A and PDGF‐A (p < 0.01) to promote angiogenesis. Conclusion. HBO therapy regulated the immune response of fat grafts, stimulated their angiogenesis, and ultimately promoted their survival after AFT.
Semianalytical Solutions to the Axisymmetric Free Strain Consolidation Problem of Unsaturated Soils under the Homogeneous and Mixed Boundary Conditions
Authors: Huang Yuanchun , Wang Lei , Shen Sidong
Published: May 2022

Since the wide applicability of axisymmetric consolidation model, the axisymmetric consolidation problem of unsaturated soils has gradually become a hot issue. However, the mixed boundary conditions of axisymmetric free strain consolidation of unsaturated soils have not been fully considered. The boundary condition is the main factor affecting the consolidation process with the determined consolidation model and related parameters. In this paper, the governing equations of water and air in the polar coordinate were given according to two stress state variables theory of unsaturated soils, Darcy’s law, and Fick’s law under the axisymmetric condition. Based on the free strain hypothesis, a series of semianalytical solutions of the axisymmetric consolidation for unsaturated soil grounds under four different boundary conditions are proposed by using the Laplace transform and the finite Hankel transform. After the correctness of the proposed governing equations and semianalytical solutions is verified by degeneration verification, the parametric consolidation characteristics of unsaturated soils under different parameters through numerical examples and parametric studies are analyzed. Combining the four boundary conditions, the entire consolidation process under homogeneous boundary will be overestimated compared to that under the mixed boundary. In other words, the time required to complete consolidation will be extended accordingly if the boundary condition is not homogeneous. It is clear that the study on the axisymmetric consolidation of unsaturated soils considering multiple boundary conditions is conducive to a more comprehensive understanding of unsaturated soils and provides strong theoretical support for engineering practice.
Chemically Reactive Flow and Energy Transport Phenomenon considering Variable Conductivity on Maxwell Fluid: A Numerical Simulation
Authors: Mansoor Muavia , Nawaz Yasir , Ahmad Bilal , Irfan Muhammad
Published: May 2022

The present involvement is the theoretical use of the thermal extrusion structure accompanying with the various industrial progressions. The problem is composed by exploiting the MHD aspect on flow of Maxwell fluid. The properties of chemically reactive flow of magneto Maxwell fluid with effects of viscous dissipation over stretching sheet in stagnation region are elaborated here. The governing equations of phenomena are given in set of partial differential equations, and further these equations are reduced to set of ordinary differential equations using similarity transformations. MATLAB built in solver bvp4c is employed to solve obtained nonlinear boundary value problem. The solver uses the 4th and 5th order discretization scheme, and the outcomes in the form of velocity, temperature, and concentration profiles with variations of magnetic parameter, Maxwell parameter, heat generation parameter, Eckert number, Prandtl number, Schmidt number and reaction rate parameter are deliberated through graphs.
Reexpansion Pulmonary Edema following Tube Thoracostomy in a Pediatric Patient with Anterior Mediastinal Mass
Authors: Choi Sung-Wook , Romeo Deborah A. , Gutman David A. , Smith Jennifer V.
Published: May 2022

Reexpansion pulmonary edema (RPE) is an exceedingly rare and potentially fatal complication of a rapidly reexpanded lung following evacuation of air or fluid from the pleural space secondary to conditions such as a mediastinal mass, pleural effusion, or pneumothorax. Clinical presentations can range from mild radiographic changes to acute respiratory failure and hemodynamic instability. The rapidly progressive nature of the disease makes it important for clinicians to appropriately diagnose and manage patients who develop RPE. We present a case of a child with a large malignant pleural effusion who developed severe RPE after tube thoracostomy and ultimately required venoarterial extracorporeal membrane oxygenation (VA-ECMO). The patient was 7-year-old Caucasian male with newly diagnosed ambiguous T cell myeloid leukemia. A chest computerized tomography (CT) demonstrated a large pleural effusion causing tracheal shift and left bronchus compression as well as an anterior mediastinal mass causing compression of the right atria and right ventricle. Tube thoracostomy was performed in the operating room (OR) with deep sedation. The procedure was complicated with hypoxemia, bradycardia, and pulseless cardiac arrest. After return of spontaneous circulation, the child continued to have refractory hypoxemia, profound hypotension, and frothy secretions. Endotracheal intubation was performed with a size 5.0 cuffed endotracheal tube. Chest radiograph demonstrated opacification of the left hemithorax with chest infiltrates. Patient required VA-ECMO for circulatory support. Supportive therapy of RPE was continued and decannulation was done on day three. Tracheal extubation was performed on day five.
Robust Integrated Guidance and Control Design for Angle Penetration Attack of Multimissiles
Authors: Zhou Huan , Zhao Xin
Published: May 2022

Angle penetration attack ability plays a more and more important role for missiles in modern warfare, and the traditional separate guidance and control system design problem is the key to restrict the improvement of time-sensitive attack and cooperative attack ability of multimissiles. Firstly, the deviation control strategy of line-of-sight angle and attack angle is put forward in this paper, and the integrated guidance and control system model with impact angle constraint is established, according to the characteristics of angle penetration attack. Then, an integrated guidance and control controller for angle penetration attack is designed by using adaptive dynamic surface control, with the dynamic constraints, nonlinear input saturation, and terminal line-of-sight and attack angle constraints concerned. In order to ensure the robustness of the system, nonlinear disturbance observers are introduced to estimate the uncertainty of the system model. Finally, the stability of the integrated design method is proven based on the Lyapunov theory. Simulation results verify the effectiveness of the integrated guidance and control design method proposed in this paper in multimissile angle penetration attack.
Nonlinear Identification of PMSM Rotor Magnetic Linkages Based on an Improved Extended Kalman Filter
Authors: Chen Tao , Chen Bing
Published: May 2022

The permanent magnet synchronous motor (PMSM) has complex nonlinear, strongly coupled characteristics and the variation of motor parameters makes its control more difficult. Therefore, parameter identification is of great significance for the stable operation of its closed-loop control system. In this paper, a method based on an improved extended Kalman filter (EKF) for the identification of the rotor flux (

ψ

f

) of a permanent magnet synchronous motor is investigated for this nonlinear and strongly coupled model. Simulation results show that the method has a more fast convergence rate and more accurate identification result than traditional EKF algorithm.
Impact of the COVID-19 Pandemic in the Acute Stroke Admissions and Outcomes in a Philippine Tertiary Hospital
Authors: Quiles Liz Edenberg P. , Diamante Pearl Angeli B. , Pascual Jose Leonard V.
Published: May 2022

Background and Purpose: The COVID-19 pandemic has been continuing its global spread ever since its onset, and efforts to curb the infection in multiple reports have contrasting effects on stroke severity, admissions, and outcomes. In the Philippines, where the COVID-19 pandemic shows no signs of slowing down and has been in the world’s longest lockdown, we investigated the effect of the pandemic in the stroke admissions and outcomes in one of the largest tertiary hospitals in the Philippines. Methods: This is a retrospective, comparative study of all adult stroke patients admitted between pre-COVID-19 (February 2019–January 2020) and COVID-19 periods (February 2020–January 2021). The differences of stroke types, severity, classification, and discharge outcomes between pre-COVID-19 and during COVID-19 were analyzed in the study. Results: There is a decrease in total number of stroke admissions from 597 in the pre-COVID-19 period to 487 during the pandemic. Stroke patients take significantly longer time to seek hospital consultation from the onset of stroke symptoms, and significantly higher proportion of patients have moderate and severe stroke. The discharge outcome showed significantly higher proportions of dependency upon discharge (13%) and higher proportion of death in stroke patients from 7% pre-CO­VID-19 pandemic to 13% during the pandemic. Conclusions: There was reduction in total stroke admissions, mild and transient stroke during the pandemic. There were a significantly higher proportion of stroke patients having moderate and severe stroke. The discharge outcome of stroke patients is functionally poorer during the pandemic, and more stroke patients have died compared before the COVID-19 pandemic.
Risk Factors of Futile Recanalization Following Endovascular Treatment in Patients With Large‐Vessel Occlusion: Systematic Review and Meta‐Analysis
Authors: Shahid Adnan H. , Abbasi Mehdi , Larco Jorge L. Arturo , Madhani Sarosh Irfan , Liu Yang , Brinjikji Waleed , Savastano Luis E.
Published: May 2022

Background

Although successful recanalization (modified Thrombolysis in Cerebral Infarction score 2b–3) can be achieved in >80% of patients experiencing stroke attributable to large‐vessel occlusion, up to 50% of patients may develop poor clinical outcomes (modified Rankin scale score at 90 days of 3–6), termed as futile recanalization (FR). The meta‐analysis aims to determine various risk factors associated with FR.

Methods

In February 2021, a comprehensive literature search on risk factors associated with FR was performed with keywords, including “stroke,” “thrombectomy,” “treatment outcome,” and “risk factors.” Their correlations with FR were evaluated using the random effect size meta‐analysis model.

Results

Twenty studies with 3037 patients were included with an FR rate of 51.0%. Our meta‐analyses showed that age (mean difference [MD], 5.6; 95% CI, 4.7–6.6), National Institutes of Health Stroke Scale score (MD, 4.2; 95% CI, 3.2–5.1), Alberta Stroke Program Early Computed Tomography (CT) Score (MD, −0.5; 95% CI, 0.8–0.3), hypertension (odds ratio [OR], 1.5; 95% CI, 1.3–1.9), systolic blood pressure (MD, 6.9; 95% CI, 3.6–8.7), atrial fibrillation (OR, 1.5; 95% CI, 1.2–1.8), IV tPA (tissue‐type plasminogen activator) (OR, 0.7; 95% CI, 0.5–0.8), puncture to recanalization time (MD, 9.6; 95% CI, 5.3–13.8), and time of onset to recanalization (MD, 32.1; 95% CI, 6.5–47.7) were significantly associated with FR (
P
<0.001).

Conclusions

Age, admission National Institutes of Health Stroke Scale score, Alberta Stroke Program Early CT Score, comorbidities, including hypertension, systolic blood pressure, atrial fibrillation, and use of IV tPA, as well as time frames, including onset to recanalization and onset to arrival, were significant influencing factors for FR after mechanical thrombectomy. Future research on the mechanism underlying FR is warranted.
Draining International Water Law: Lessons from the Israel–Occupied Palestinian Territory Context
Authors: Beshtawi Ahmed , Cuadrado-Quesada Gabriela
Published: May 2022

This article discusses the complexities of International Water Law (IWL) in the Israel Occupied Palestinian Territory (OPT) context. In the Oslo Accords, Israelis and Palestinians agreed to employ the core principles of IWL in their respective utilisation of shared water resources, in particular, over shared water resources in the West Bank: the principle of equitable and reasonable utilisation of water courses, the principle of no significant harm and the duty of co-operation. This article critically discusses these three principles in the Israel–OPT context and addresses in particular the questions: To what extent these principles are applicable in the Israeli–Palestinian context, and to what extent have they been implemented? The article concludes that there is an evident lack of implementation of such principles which has resulted in adverse effects on Palestinian water rights and have been on the expense of the OPT.
‘Not Water or Air’: The Legality of Network Disruptions in Ethiopia
Authors: Yilma Kinfe Micheal
Published: May 2022

Network disruption has become commonplace in Ethiopia in the past few years. Be it for preventing exam leaks, the spread of disinformation, or to fight off cyber-attacks, the government has repeatedly disrupted communication networks. However, the legal basis with which the government often shuts down the Internet or disrupts other means of digital communications remains unclear. Despite a recent attempt by the Federal Attorney General to offer some legal justification, the legality of network disruptions under Ethiopia law is questionable. This short article considers the legality of network disruptions under Ethiopian law. Having rejected the legal justifications of the Attorney General, this article argues that the current cybercrime legislation offers a rather sound legal basis for certain forms of network disruption in Ethiopia. It further considers the pertinence of rules dealing with network disruption introduced in the cybercrime Bill (2020). The article suggests that the Bill’s network disruption rules are mostly progressive, but there remains the need for a freestanding legal framework equipped with appropriate safeguards against arbitrary practices.
Gendering Experiences of Anti-Semitism: A Quantitative Analysis of Discrimination in Europe
Authors: Jensen Mie Astrup
Published: May 2022

Little is known about the gendered dimension of anti-Semitism. Emerging from a literature review on social identity theory, anti-Semitism, sexism, and Jewish feminism, I demonstrate the urgency of examining the link between gender and experiences of anti-Semitism, using the FRA’s 2018 dataset “Experiences and Perceptions of Antisemitism: Second Survey on Discrimination and Hate Crime against Jews in the EU,” a large-scale survey of Jews in thirteen countries across Europe. The independent variable is gender identity. Five dependent variables relate to experiences of sex/gender discrimination, physical attacks, offensive/threatening comments, offensive gestures/staring, and online harassment. Using five control variables—being identifiable as a Jew in public, country, Jewish identity, education level, and Jewish population in one’s neighborhood—I engage with descriptive statistics and binary logistic regression analysis to analyze my variables. The findings show that while women are more likely to experience gender discrimination, men are significantly more likely to experience anti-Semitism.
The Role of Plotinus in the Romantic Philosophy of Novalis
Authors: Hampton Alexander J.B.
Published: May 2022

Novalis was a central figure in early German Romantic philosophy. Whilst the importance of both Fichte and Spinoza for the development of Romanticism is well established, the vital influence of the Platonic tradition in allowing the Romantics to synthesise these divergent philosophies merits closer attention. Essential to the development of Novalis’ thought was his exposure to Plotinus. This examination first sets out the religious and philosophical problems in Germany at the close of the eighteenth century and situates Novalis in relation to this intellectual environment. Following this, a brief survey of Plotinus-scholarship at the close of the eighteenth century in Germany frames how Novalis came into contact with Plotinus through Dieterich Tiedemann. The examination proceeds to consider how Tiedemann shaped Novalis reception of Plotinus and allowed him to develop a synthesis of Spinoza and Fichte. Finally, it briefly examines the poetic realisation of this synthesis through Novalis’ late poetic work.
Wrestling with R2P’s Colonial Parallels
Authors: Glanville Luke
Published: May 2022

The idea of international protection of vulnerable populations has imperial roots. Scholars of international history teach us that the idea of protection was routinely invoked to justify European colonial rule and some of its brutal violence. Their scholarship makes for sobering reading for anyone advocating international efforts to protect vulnerable people today. In this roundtable contribution, I describe how I have wrestled with R2P’s colonial parallels in my recent book, Sharing Responsibility: The History and Future of Protection from Atrocities.