bluuebunny/crossref_metadata_2025 huggingface dataset:
A SWOT Analysis for a Roadmap towards Sustainable Electric Power Generation
Authors: Shaikh Asadullah , Hameed Shaikh Pervez , Kumar Laveet , Husain Mirjat Nayyar , Ahmed Memon Zubair , El Haj Assad Mamdouh , Alayi Reza , Eskandarpoor Behrouz
Published: July 2022

During the last decade, the abundance of wind, solar, and conventional energy sources have been widely utilized in Sindh, Pakistan, to meet the energy demand-supply gap of the country. Some of these energy projects have been approved, are under constructional and operational phases and have connected to the National grid successfully. However, these energy sources are being influenced by several constraints, which keep the project developmental phases away from their technological upgradation. Therefore, the aim of the present study is to perform a Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis of existing energy projects in Sindh to examine its current conditions and future roadmap to promote its valuable utilization. The outcomes of the study have identified several socio-economic and environmental impacts on the sustainable development of renewable energy sources. The study concludes that energy strategic policy must contain financial profits, energy security, and environmental protection. This SWOT study will encourage local and foreign investors, researchers, and engineers to invest their financial and technical abilities towards Sindh to get benefit from the hub of energy sources. They can initiate independent power generation and distribution companies on stated sites and can provide cost-effective tariffs from green energy sources with more revenue and less payback period. It can ultimately increase profitable business as well as can boost the state’s economy efficiently.
Attention-Based LSTM Model for IFA Detection in Named Data Networking
Authors: Zhang Xin , Li Ru , Hou Wenhan
Published: July 2022

As one of the next generation networks, Named Data Networking (NDN) performs well on content distribution. However, it is vulnerable against a new type of denial-of-service (DoS) attacks, interest flooding attacks (IFAs), one of the fatal threats to NDN. The attackers request nonexist content to occupy the Pending Interest Table (PIT), and it causes the degradation of network performance. Because of the great harm and strong concealment of this attack, it is urgent to detect and throttle the attack. This paper proposes a detection mechanism based on Long Short-Term Memory (LSTM) with attention mechanism, which uses sequence with different treatments. Once IFA is detected, the Hellinger distance is used to recognize malicious Interest prefix. The simulation results show that the proposed scheme can resist IFA effectively compared to state-of-the-art schemes.
Analysis of Regional Economic Development Trends and Strategy Formulation Based on Sensor Data Collection
Authors: Qin Lulu , Gao Rongwei , Wu Tuolei , Xu Zeyu
Published: July 2022

In this paper, a multisensor data acquisition system based on FPGA is designed to provide an overview of the current development of the company based on the theoretical knowledge of enterprise development strategy. Through a comprehensive investigation of the company’s internal environment, the advantages and disadvantages of the company at this stage are clarified, and the opportunities and threats to the company’s development are analyzed in the context of the external macroenvironment and industry development. The coupling coordination degree from 2011 to 2025 was measured using the coupling coordination degree model based on the original data and the prediction results, and the results showed that from 2011 to 2025, the coupling coordination degree of Hebei Province showed a continuous growth and experienced the transition from low coordination, basic coordination, to medium coordination in the coupling coordination stage, aiming at the most innovative fields, mastering the most advanced technologies, cooperating with industry giants, innovating, and building digital ecology, creating, and forming core competitiveness based on core independent products and platform-based solutions, and further promoting transformation and upgrading and high-quality development. In this paper, the data acquisition system is tested by building an experimental platform. The main purpose is to test the stability and accuracy of each module of the data acquisition system. After each module test of the system meets the design requirements, the parallel mechanism attitude transformation test experiment is completed, including the moving platform moving test experiment and the moving platform rotation test experiment. The experimental results show that the designed data acquisition system has stable program and reliable function.
Discovery and Exclusion Prospects for Staus Produced by Heavy Higgs Boson Decays at the LHC
Authors: Arganda Ernesto , Martín-Lozano Victor , Medina Anibal D. , Mileo Nicolas I.
Published: July 2022

In a previous work, we developed a search strategy for staus produced by the decay of the heavy CP-even Higgs bosonHwithin the context of the largetanβregime of the minimal supersymmetric standard model (MSSM) in a scenario of large stau mixing. Here, we study the performance of such search strategy by confronting it with the complementary mixing pattern in which decays of both the CP-even and CP-odd heavy Higgs bosons contribute to the production ofτ~1τ~2∗+c.cpairs. Again, we focus on final states with two opposite-sign tau leptons and large missing transverse energy. We find that our proposed search strategy, although optimized for the large stau mixing scenario, is still quite sensitive to the complementary mixing pattern. We also extend the results reported in the preceding work for the large mixing scenario by including now the exclusion limits at the next run of the LHC and the prospects both for exclusion and discovery in a potential high-luminosity phase. Finally, we discuss the possibility to distinguish the two mixing scenarios when they share the same relevant mass spectrum and both reach the discovery level with our search strategy.
Inverse Eigenvalue Problem and Least‐Squares Problem for Skew‐Hermitian {P,K + 1}‐Reflexive Matrices
Authors: Dong Chang-Zhou , Li Hao-Xue
Published: July 2022

This paper involves related inverse eigenvalue problem and least‐squares problem of skew‐Hermitian {P,k + 1}‐reflexive(antireflexive) matrices and their optimal approximation problems. The above problems are studied by converting them into two simpler cases: k = 1 and k = 2. Firstly, with some special properties of skew‐Hermitian {P,k + 1}‐reflexive(antireflexive) matrices, the necessary and sufficient conditions for the solvability and the general solution are presented, and the solution of corresponding optimal approximation problems also given, respectively. Then, we give the least‐squares solution of AX = B satisfying the special condition by the singular value decomposition. Finally, we give an algorithm and an example to illustrate our results.
Topological Aspects of Molecular Networks: Crystal Cubic Carbons
Authors: Javaid Muhammad , Sattar Aqsa , Bonyah Ebenezer
Published: July 2022

Theory of networks serves as a mathematical foundation for the construction and modeling of chemical structures and complicated networks. In particular, chemical networking theory has a wide range of utilizations in the study of chemical structures, where examination and manipulation of chemical structural information are made feasible by utilizing the numerical graph invariants. A network invariant or a topological index (TI) is a numerical measure of a chemical compound which is capable to describe the chemical structural properties such as melting point, freezing point, density, pressure, tension, and temperature of chemical compounds. Wiener initiated the first distance‐based TI which is considered to be the most important TI to preserve the chemical and physical properties of chemical structures. Later on, degree‐based TI was introduced to find the π‐electron energy of molecules. Recently, connection number‐based TIs are studied which are more efficient than degree and distance‐based TIs. In this paper, we compute the connection number‐based TIs of the structure of crystal cubic carbons which are one of the most significant and interesting composites in modern resources of science due to the involvement of carbon atoms.
On the Digital Path of the Protection of Folk Houses in Qiang Nationality Villages from the Perspective of Digital Media Technology
Authors: Hu Dan , Zhang Li , Shi Xiaona , Ma Xiaoxi , Pang Zhudan
Published: July 2022

In order to better adapt to the development nationalities of the digital media era and promote the inheritance path innovation of traditional nationality cultural resources, this study takes Qiang nationality village houses as the research object and takes the digital media era as the research background to deeply analyze the inheritance and protection path of Qiang nationality village house culture in the digital era. Therefore, this paper proposes a method of digital protection path of minority residential buildings based on point cloud technology and BIM Technology. This method constructs the digital resource database of village residential buildings by constructing the BIM model and the three-dimensional model of point cloud technology and then constructs the building information model based on traditional residential buildings from the data of building model, graphic influence, and cultural attributes, so as to provide technical support for the protection, repair, and reconstruction of ethnic minority buildings and the inheritance of ethnic culture.
Active Vibration Control for the Mitigation of Wheel Squeal Noise Based on a Fuzzy Self-Tuning PID Controller
Authors: Marjani Seyed Rahim , Younesian Davood
Published: July 2022

The wheel squeal noise of a train is often made when it passes a tight curve. The noise annoys the passengers and the people living close to railway tracks. According to the research background, wheel vibration, as a result of unstable contact force, is the main source of wheel squeal noise. This study presents a novel method to reduce wheel squeal noise based on the active vibration control of wheels and the use of piezoelectric actuators attached to wheel treads. The proposed method is implemented in an experimentally validated time model involving the linear dynamics of wheel and track and nonlinear contact forces. Then, the model is modified to enhance the effect of the piezoelectric actuators. The relationship between the momentum and the voltage applied to the piezoelectric patch is also considered in modeling. To determine the amplitude and the direction of the applied voltage, a feedback controller is designed based on the fuzzy self-tuning PID controller scheme. This controller is similar to the conventional PID controller, but its coefficients are tuned by the fuzzy tuning mechanism according to the wheel response. The results show that the proposed method is capable of suppressing wheel squeal noise, especially in high frequencies. Furthermore, it is as applicable to worn wheels as to new ones.
Development Characteristics and Sensitivity Analysis of Expansive Soil Slope
Authors: Jiang Pengfei , Kong Yuanyuan , Song Zhenyu , Zhao Ruixin , Zhan Jiewei , Lin Xuhui
Published: July 2022

According to laboratory tests of soil samples of Wangyan highway landslide, the mechanism of formation of landslide and the degree of sensitivity of various factors to slope stability are analyzed. It is found that the landslide is destroyed by the properties of expansive soil, the existence of water in the cracks, the loading of artificial filling, and the traction of old landslide. The soil samples were tested for SEM and MIP tests by lyophilization, and the particle morphology, the mode of combination, porosity, and connectivity of the sliding zone soil were observed by a scanning electron microscope. Results show that the sliding zone developed many microfissures and the clay minerals arranged tightly, the pore of

size
<
0.1

 μm was 60% in undisturbed soil, and the pores of different sizes were distributed uniform in reconstituted soil. The undisturbed soil had typical nonlinear rheological property; The deformation rate of reconstituted was bigger; When the load was 50 kPa and 200 kPa, an expansion phenomena occurred in the sliding zone, which indicated that microstructure could influence the deformation. The strength attenuation of expansive soil slope due to the high content of montmorillonite in the sliding body and the high water content in the cracks are two major factors of the Wangyan highway landslide. Based on the results of previous studies, the

a

,

n

, and

m

values of fitting parameters of Fredlund-Xing soil-water characteristic curve are predicted by using the basic physical properties of soil. It is found that the air intake value and residual suction value of filled soil (loose and broken) and completely weathered sandstone are small, and the water holding capacity in the middle suction range is relatively good. Then, the finite difference software Flac3D was used to build a three-dimensional geological model. The influence of water content, highway load, filling weight, and slope angle on slope stability is considered comprehensively. The order of sensitivity of slope stability about various factors is as follows:

water
 
content
>
slope
 
angle
>
highway
 
load
>
filling
 
weight

. The results of research can provide a scientific basis for the treatment, protection, and reinforcement of the Wangyan highway landslide.
Design of System‐of‐System Acquisition Analysis Using Machine Learning
Authors: Alshammari Fahad H.
Published: July 2022

A system of system’s ability to function is derived from the integration of systems from different sources. An SOS’s systems serve two purposes: first, to accomplish their own specific aims, and second, to provide resources to the SOS as a whole. In the last few decades, machine learning and data analytics have been widely used in system design and acquisitions. Every organisation that acquires a sophisticated system employs some type of data analytics to evaluate the system’s independent objectives, which is universally accepted. Data analytics and decision‐making regarding the independent system is rarely shared across SOS stakeholders, even though the systems contribute to and benefit from the larger SOS. The goal of this research is to determine how the exchange of data sets and the corresponding analytics by SOS stakeholders can improve SOS capacity. Predicting SOS capabilities by exchanging relevant data sets and prescribing information connections between systems, we propose to use machine learning techniques. This article serves as an intermediate analysis of the above research work and aims to estimate the benefit of information sharing among the SOS stakeholders. In this research, we have applied different machine learning models to the IBM HR analytics data set to determine the corresponding analytics by SOS stakeholders that can improve SOS capacity. We propose using machine learning techniques to forecast SOS capabilities through the sharing of relevant data sets, and we prescribe the information linkages across systems to make this possible. This paper provides an update on the progress being made toward the aforementioned research project, and its primary focus is on developing a method to put a dollar amount on the benefits of information sharing among the many parties involved in the SOS.
A Mesoscale Approach for Concrete Block Masonry
Authors: Yang Xu , Jia Mingming , Chi Bin , Wang Mingzhi , Zheng Jianfeng
Published: July 2022

A comprehensive understanding of the concrete block masonry’s mesostructure on its macroscopic mechanical behavior is meaningful for modern masonry. The mesoscale numerical method provides an extremely powerful analyzing tool for this problem. However, it is still difficult to analyze the mesomodel efficiently due to a large number of operating processes caused by the components’ nonlinear mechanical properties. An efficient finite‐element‐method‐based mesoscale approach for concrete block masonry was introduced in this paper. The benchmark test results obtained show that this approach is able to simulate the concrete block masonry and analyze its failure. According to the simulation studies, a positive effect of mortar and concrete block strength on masonry compressive strength was obtained. Besides, an obvious nonlinear relationship between the masonry compressive strength and the mortar was also observed.
Cocreation from Emerging Opportunities: Occupational Therapists’ Perspectives on Supporting Older Persons, in Japan
Authors: Bontje Peter , Josephsson Staffan , Tamura Yumi , Ishibashi Yu , Sakane Yuki , Horibe Yasuyo , Asaba Eric
Published: July 2022

Introduction. Practices of occupational therapists, particularly those supporting older persons with physical impairments, remain overly focused on remediating impairments, and implementation of occupation-centered practices remains fraught with difficulties. In Japan, this issue exists across the continuum from acute care to rehabilitation settings and into the community. This is despite the existence of international models and frameworks that place occupation at the core of the profession. Accordingly, there is a need to better understand how occupational therapists respond to the call for occupation-centered practices across the said continuum of care with this population. The aim of this study was at exploring and understanding occupational therapists’ experiences of supporting the resumption of occupations among older persons with physical impairments, in Japan. Methods. Embedded in a constructivist world view, this was a qualitative focus group study. Four focus groups (two in urban areas and one each in rural and semirural areas), consisting of seven or eight occupational therapists with at least three years of relevant practice experience, convened twice to narrate and explore their support of older persons. All were participating voluntarily with confidentiality of their participation being guaranteed by the researchers. They met for a third time to verify emerging analytic results. Data were analysed using a reflective thematic analysis. Results. Identified were three themes, namely, calling forth powers of occupations, imagining client’s future, and cocreating plots, which we synthesized into recurring cocreations from emerging opportunities. Discussion. Supporting the resumption of occupations among older persons with physical impairments hinges on repeated processes of identifying possibilities for occupation, followed by actions to bring these (e.g., images of clients’ future) into reality. Occupations’ healing properties (i.e., occupations’ powers) can be used to assist clients in experiencing health and well-being. The results suggest a reframing of occupational therapy practices as recurring processes of recognizing opportunities for occupation, followed by actions whereby these possibilities are turned into reality. Occupational therapy effectiveness might be enhanced when goals and methods are repeatedly and creatively aligned with the evolving plots cocreated between the client, therapist, and stakeholders.
Diagnostic Value of Magnetic Resonance Diffusion‐Weighted Imaging Combined with Routine Scanning in Body Tumors
Authors: Li Zhongwei , Wang Di , Sun Jinfeng , Zhang Guowei , Hu Jiashou
Published: July 2022

The aim of this study was to evaluate the value of whole body magnetic resonance diffusion‐weighted imaging (WB‐DWI) combined with routine scanning in the diagnosis of body tumors. Sixty‐three patients with surgically and pathologically confirmed body tumors admitted to our hospital from October 2019 to October 2021 were scanned by WB‐DWI using a 1.5TMR body coil. The images were reconstructed by a three‐dimensional maximum intensity projection (3D‐MIP) and black‐white inversion technique. The lesions detected by WB‐DWI were all plain MRI, and 35 cases were enhanced MRI. The number of lesions detected by WB‐DWI and WB‐DWI combined with routine scanning and the number of cases matching diagnosis were compared. The WB‐DWI images of tumor lesions were analyzed, and the apparent diffusion coefficient (ADC) of the lesions was measured, and the ADC value of benign and malignant lesions was compared. There were 236 lesions in 63 patients with clinically confirmed tumors. 46 cases were diagnosed by WB‐DWI, the diagnostic coincidence rate was 73.0%, and 207 lesions were detected. Fifty‐eight cases were diagnosed by WB‐DWI combined with routine scanning, the diagnostic coincidence rate was 92.1%, 236 lesions were detected. There were statistically significant differences in the number of lesions detected and the coincidence rate of tumor diagnosis between the two groups (P < 0.05). The average ADC value of malignant tumor ((1.04 ± 0.46) × 10−3 mm2/s) was lower than that of benign tumor ((2.53 ± 0.43) × 10−3 mm2/s), and the difference was statistically significant (P < 0.05). In conclusion, MR whole‐body diffusion weighted imaging is safe, efficient, radiation‐free, and highly sensitive, which is of great significance in the differential diagnosis of benign and malignant lesions. WB‐DWI combined with MR routine scanning can further improve the detection rate of lesions and the coincidence rate of tumor diagnosis.
Effects of Anisotropy and CO2 Wettability on CO2 Storage Capacity in Sandstone
Authors: Song Jun Young , Jeong Yeon Jong , Yun Tae Sup
Published: July 2022

The geological sequestration of carbon dioxide (CO2) is an alternative strategy for mitigating global warming. The CO2 storage capacity is often characterized by the capillary pressure curve, which in turn depends on the pressure and temperature of the injected CO2 and the internal structure of the reservoir rocks. The key structural feature that influences the storage capacity in porous rocks is their inherent anisotropy. An experimental study was performed to investigate the optimal conditions for CO2 injection into an anisotropic sandstone. The capillary pressure curve and the residual CO2 saturation were determined by injecting three CO2 phases into the directionally cored sandstone specimens with different flow rates. The CO2 saturation in sandstone increased with increasing flow rate, resulting in asymptotic values. The storage capacity of CO2 was the highest in the order of liquid CO2 (LCO2), supercritical CO2 (scCO2), and gaseous CO2 (gCO2). It was also the highest when the direction of CO2 injection was normal in relation to the embedded sandstone layers. The in situ cored sandstone from the Janggi Basin in Korea was further tested to examine the effect of its pore size on the capillary pressure of CO2.
Operation Optimization of Microgrid System Based on Intelligent System Model
Authors: Kang Jian
Published: July 2022

In order to improve the operation optimization effect of the microgrid system, this paper combines the intelligent system model to construct the operation optimization model of the microgrid system. Moreover, this paper conducts a quantitative calculation and research on the maximum compensation capacity of the active power filter device and proposes a harmonic power adaptive compensation control strategy in the case of the limited output capacity of the APF device. In addition, this paper adopts the method of extracting the harmonic current command in the synchronous coordinate system based on the band-pass filter composed of SOGI and combines the RDFT algorithm to determine the number of harmonics that can be compensated and the degree of compensation for the harmonic number. Finally, this paper combines simulation experiments and comprehensive evaluation to study and verify that the operation optimization effect of the microgrid system based on the intelligent system model is better and can effectively improve the operation effect of the microgrid system.
BCHE as a Prognostic Biomarker in Endometrial Cancer and Its Correlation with Immunity
Authors: Liu Junxiu , Tian Tian , Liu Xiangyu , Cui Zhumei
Published: July 2022

Background. In developed countries, the most common gynecologic malignancy is endometrial carcinoma (EC), making the identification of EC biomarkers extremely essential. As a natural enzyme, butyrylcholinesterase (BCHE) is found in hepatocytes and plasma. There is a strong correlation between BCHE gene mutations and cancers and other diseases. The aim of this study was to analyze the role of BCHE in patients with EC. Methods. A variety of analyses were conducted on The Cancer Genome Atlas (TCGA) data, including differential expression analysis, enrichment analysis, immunity, clinicopathology, and survival analysis. The Gene Expression Omnibus (GEO) database was used to validate outcomes. Using R tools, Gene Set Enrichment Analysis (GSEA) and Gene Ontology (GO) analyses revealed the potential mechanisms of BCHE in EC. Sangerbox tools were used to delve into the relations between BCHE expression and tumor microenvironment, including microsatellite instability (MSI), tumor neoantigen count (TNC), and tumor mutation burden (TMB). BCHE’s genetic alteration analysis was conducted by cBioPortal. In addition, the Human Protein Atlas (HPA) was used to validate the outcomes by immunohistochemistry, and an analysis of the protein-protein interaction network (PPI) was performed with the help of the STRING database. Results. Based on our results, BCHE was a significant independent prognostic factor for patients with EC. The prognosis with EC was affected by age, stage, grade, histological type, and BCHE. GSEA showed that BCHE was closely related to pathways regulating immune response, including transforming growth factor-β (TGF-β) signaling pathways and cancer immunotherapy through PD1 blockade pathways. The immune analysis revealed that CD4+ regulatory T cells (Tregs) were negatively correlated with BCHE expression and the immune checkpoint molecules CD28, ADORA2A, BTNL2, and TNFRSF18 were all significantly related to BCHE. BCHE expression was also associated with TMB by genetic alteration analysis. Conclusions. Identifying BCHE as a biomarker for EC might help predict its prognosis and could have important implications for immunotherapy.
Changing Meal Sequence Affects Glucose Excursions in Gestational Diabetes Mellitus
Authors: Yong Guangjin , Jing Qian , Yao Qing , Yang Kechun , Ye Xinhua
Published: July 2022

Studies on nutrient sequences during meals suggest that consuming carbohydrates last lowers postprandial glucose excursions more than consuming carbohydrates first. However, this phenomenon has not been studied in gestational diabetes mellitus (GDM). Ten women with GDM consumed the same caloric foods in different sequences over five successive days: (A) dish first, followed by carbohydrate and soup last; (B) carbohydrate first, followed by dish and soup last; (C) soup first, followed by dish and carbohydrate last; (D) three meals a day ad libitum; and (E) six meals a day as ad libitum. Continuous glucose monitoring (CGM) was used to assess diurnal glycemia. Decreases in mean glucose levels and the largest glucose levels in A were similar to group C. The peak glucose of breakfast and lunch in group B was more significant than in groups A and C. The B meal pattern showed more marked glycemic excursions than groups A and C. Increasing the number of meals reduced the peak glucose level and the glycemic excursions with the same total calories. Changing meal sequences or increasing the number of meals may reduce glycemic excursions in GDM. Our trial was registered retrospectively and the trial registration number is ChiCTR2200057044.
Biogenic Synthesis of Silver Nanoparticles Using Rhazya stricta Extracts and Evaluation of Its Biological Activities
Authors: Bawazeer Sami , Rauf Abdur , Emran Talha Bin , Aljohani Abdullah S. M. , Alhumaydhi Fahad A. , Khan Zidan , Ahmad Laiba , Hemeg Hassan A. , Muhammad Naveed , Sharma Rohit , Maalik Aneela , Khan Ibrahim
Published: July 2022

Rhazya stricta is a well‐known medicinal plant and source of numerous potential secondary metabolites including steroids, alkaloids, and tannins. R. stricta possesses multimedical applications and used for curing of various diseases such as inflammation, diabetes, sore throat, infectious, helminthiasis, arthritis, and cancer. The current investigation deals with synthesizing AgNPs using aqueous and ethanol extracts of R. stricta. The synthesized R. stricta‐AgNPs were characterized through UV‐visible, Fourier transform infrared (FTIR), and atomic force microscopy (AFM) methods. The UV‐visible analysis exhibited a characteristic absorption λmax at 475 nm in R. stricta ethanol AgNPs while this peak was absent in R. stricta aqueous crude extract. The thermal stability of R. stricta‐AgNPs demonstrated that by increasing the reduction time and temperature, the absorption of AgNPs also increased, leading to more stable NPs formation. The FTIR spectra showed a broad peak at 450‐550 cm-1 that confirmed the occurrence of AgNPs of R. stricta. The AFM study of the synthesized AgNPs revealed the spherical shape and size ranging from 30 nm to 90 nm. In antioxidant and antibacterial study, the R. stricta‐AgNPs exhibited good antioxidant activity (87.94% and 88.37%) than the ethanol crude extract (50.00% and 56.81%) at 100 μg/mL using DPPH assay. Maximum antibacterial activity was recorded against Gram‐positive bacteria (Staphylococcus aureus), which was 15 and 0 mm, while against Gram‐negative bacteria (Klebsiella pneumonia) was found to be 16 and 14 mm, respectively, whereas against Bacillus subtills, a poor activity was recorded as 14 for extract and 0 mm for AgNPs, respectively. In the acetic acid‐induced writhing model, the percent effect of extract (100 mg/kg) and AgNPs (15 mg/kg) was 79.98 and 83.23, respectively. The maximum muscle coordination effect of extracts in the inclined plan and traction test was 44% and 38% at higher doses. A mild sedative effect was also recorded against extract and AgNPs. The significant (p < 0.05) effect of extract was noted at 100 mg/kg while AgNPs was more significant (p < 0.01) at the tested dose of 15 mg/kg. These findings have concluded that R. stricta‐AgNPs is an effective bioreductant of AgNPs synthesis and exhibit several applications in distinctive biomedical and pharmaceutical industries.
Judgment of Social Governance System Risk Based on Big Data Analysis
Authors: Yang Xiaojing
Published: July 2022

Accurate risk identification, scientific risk assessment, effective risk early warning, and real-time risk monitoring will all benefit from the advancement of data science and the development of the data industry. Simultaneously, social risk prevention and control face numerous obstacles in the growth of information technology, data integration and mining, data information disclosure, and data culture popularization in the era of big data. It can be improved in terms of risk prevention and control concept innovation. In addition, it can also be improved in terms of network public opinion guidance, control mechanism improvement, social security prevention, control system optimization, and the introduction and training of big data talent to promote scientific and accurate social risk prevention and control. As society moves into the 5.0 era, many social risks rise and new features emerge, posing larger threats and unprecedented challenges to social risk governance. Big data, as a result of the emerging technology revolution, offers a wealth of governance resources and brand-new governance concepts that traditional governance mechanisms lack, offering technical assistance. This article presents a parallel community partition algorithm using MapReduce to analyze big data. The proposed model is established for the big data thinking paradigm to promote social risk governance innovation. The proposed model supports the top-level model and does inclusive forecasting for social risk management that supports resource integration. The proposed model also realizes diversified and coordinated risk governance. The results reveal the significance of the proposed model.
Dynamic Multiscale Feature Fusion Method for Underwater Target Recognition
Authors: Cai Lei , Li Yuejun , Chen Chuang , Chai Haojie
Published: July 2022

The feature information of small-scale targets is seriously missing under the interference of complex underwater terrain and light refraction. Moreover, the unbalanced distribution of underwater target samples can also affect the accuracy of spatial semantic feature extraction. Aiming at the above problems, this paper proposes a dynamic multiscale feature fusion method for underwater target recognition. Firstly, this paper uses multiscale info noise contrastive estimation (MS-InfoNCE) loss to extract the significant features of the target at 4 scales. Secondly, the method learns the spatial semantic features of the target through a dynamic conditional probability matrix. Finally, this paper designs different feature fusion mechanisms for different scale targets, dynamically fusing multiscale significant features and spatial semantic features to recognize underwater weak targets. The experimental results show that the recognition accuracy of the proposed algorithm is 1.38% higher than that of the existing algorithm when recognizing underwater distorted targets.
Discrete State-Feedback Control Design with D-Stability and Genetic Algorithm for LED Driver Using a Buck Converter
Authors: Sanchez René Osorio , Rumbo Morales Jesse Yoe , Ortiz Torres Gerardo , Pérez Vidal Alan Francisco , Valdez Resendiz Jesús Elias , Sorcia Vázquez Felipe de Jesús , Nava Nimrod Vaquez
Published: July 2022

In this paper, a discrete state-feedback controller is applied to control the current in power LEDs by using a buck converter. Sufficient conditions for the existence of the controller are given in terms of linear matrix inequalities (LMIs) with D-stability theory. In order to consider the specific closed-loop dynamics of the closed-loop LED driver, the genetic algorithm (GA) technique is applied, as a complement of the D-stability theory. Therefore, the proposed GA technique is used to search offline the optimal closed-loop eigenvalues to have a desired response of the closed-loop system, subject to a proposed cost function equation. The main contribution of this work is the design and the experimental validation of both the state-feedback controller and the GA to achieve the desired closed-loop dynamics of the LED-driver system. Finally, simulations and experimental results are done in order to illustrate the effectiveness of the proposed methodology.
Exosomes Derived from Baicalin-Pretreated Mesenchymal Stem Cells Alleviate Hepatocyte Ferroptosis after Acute Liver Injury via the Keap1-NRF2 Pathway
Authors: Zhao Shuxian , Huang Mengxin , Yan Lili , Zhang Hao , Shi Chenchen , Liu Jing , Zhao Shousong , Liu Hongbo , Wang Baogui
Published: July 2022

Acute liver injury (ALI) is characterized as a severe metabolic dysfunction caused by extensive damage to liver cells. Ferroptosis is a type of cell death dependent on iron and oxidative stress, which differs from classical cell death, such as apoptosis and necrosis. Ferroptosis has unique morphological features, which mainly include mitochondrial dissolution and mitochondrial outline reduction. Furthermore, the intracellular accumulation of lipid peroxides directly affects the occurrence of ferroptosis. Baicalin, the main compound isolated from Scutellaria baicalensis, has anti-inflammatory and antioxidative effects. Recently, exosomes derived from preconditioned mesenchymal stem cells (MSCs) have shown great potential in the treatment of various diseases including ALI. This study investigates the ability of exosomes derived from baicalin-pretreated MSCs (Ba-Exo) to promote liver function recovery in mice with ALI compared with those without pretreatment. Through in vivo and in vitro experiments, this study demonstrates for the first time that Ba-Exo greatly attenuates D-galactosamine and lipopolysaccharide (D-GaIN/LPS)-induced liver damage and inhibits reactive oxygen species (ROS) production and lipid peroxide-induced ferroptosis. Moreover, P62 was significantly upregulated in Ba-Exo, whereas its downregulation in Ba-Exo counteracted the beneficial effect of Ba-Exo. P62 regulates hepatocyte ferroptosis by activating the Keap1-NRF2 pathway. The beneficial effect of Ba-Exo in inhibiting ferroptosis was also attenuated after the NRF2 pathway was inhibited. Therefore, baicalin pretreatment is an effective and promising approach to optimize the therapeutic efficacy of MSC-derived exosomes in ALI.
IBE-Signal: Reshaping Signal into a MITM-Attack-Resistant Protocol
Authors: Liu Shiqi , Shao Yan , Luo Hanbo , Di Hong
Published: July 2022

The Signal Protocol is one of the most popular privacy protocols today for protecting Internet chats and supports end-to-end encryption. Nevertheless, despite its many advantages, the Signal Protocol is not resistant to Man-In-The-Middle (MITM) attacks because a malicious server can distribute the forged identity-based public keys during the user registration phase. To address this problem, we proposed the IBE-Signal scheme that replaced the Extended Triple Diffie–Hellman (X3DH) key agreement protocol with enhanced Identity-Based Encryption (IBE). Specifically, the adoption of verifiable parameter initialization ensures the authenticity of system parameters. At the same time, the Identity-Based Signature (IBS) enables our scheme to support mutual authentication. Moreover, we proposed a distributed key generation mechanism that served as a risk decentralization to mitigate IBE’s key escrow problem. Besides, the proposed revocable IBE scheme is used for the revocation problem. Notably, the IND-ID-CPA security of the IBE-Signal scheme is proven under the random oracle model. Compared with the existing schemes, our scheme provided new security features of mutual authentication, perfect forward secrecy, post-compromise security, and key revocation. Experiments showed that the computational overhead is lower than that of other schemes when the Cloud Privacy Centers (CPCs) number is less than 8.
Study of the Effect of the Segmentation Method on the Power Generation Performance of Rectangular Piezoelectric Energy Harvester
Authors: Tian Xiaochao , Liu Jinlong , Lin Jiayin , Li Shenfang , Wang Zhicong , Hou Jun , Zhang Sida , Yang Zhigang , Zhu Jinzhi
Published: July 2022

Since the piezoelectric energy harvester will generate strain zero point when it is bent, it will affect the power generation effect. In this paper, the strain zero point of the cantilever beam of the rectangular piezoelectric energy harvester is studied through theoretical analysis. The main analysis is the specific location of the strain zero point in the first-, second-, and third-order modes of the cantilever beam of the energy capturer. The results of the theoretical analysis are verified by experimenting with different segmentation methods of piezoelectric energy harvesters. The experimental results show that the piezoelectric energy harvester is segmented at 0.275 in the length direction of the piezoelectric ceramic in the second-order mode, and the output power is 5 times that of the nonsegmented state. In the third-order mode, the piezoelectric energy harvester is segmented at 0.16 and 0.61 in the length direction of the piezoelectric ceramic, and the output power is 5.83 times that of the nonsegmented state. The research in this paper provides new ideas and methods for improving the power generation capacity of piezoelectric energy harvesters.
Research on Anomaly Identification and Screening and Metallogenic Prediction Based on Semisupervised Neural Network
Authors: Zhang Rongqing , Xi Zhenzhu
Published: July 2022

This paper firstly introduces the background of the research on neural network and anomaly identification screening and mineralization prediction under semisupervised learning, then introduces supervised learning, semisupervised learning, unsupervised learning, and reinforcement learning, analyzes and compares their advantages and disadvantages, and concludes that unsupervised learning is the best way to process the data. In the research method, this paper classifies the obtained geochemical data by using semisupervised learning and then trains the obtained samples using the convolutional neural network model to obtain the mineralization prediction model and check its correctness, which finally provides the direction for the subsequent mineralization prediction research.
A New Attribute Encryption Anonymity Algorithm in Cloud Computing Environment
Authors: Zhao Cuirong , Chen Yan
Published: July 2022

In order to solve the security problem of privacy information exposed by plaintext access strategy in cloud computing environment, this paper proposes a new attribute encryption anonymity algorithm which can be hidden and updated. The algorithm proposed in this paper hides the access policy attribute information through a randomized technology, which can support full hiding of the policy, and the prevention and control are more flexible. The experimental results show that, compared with the previous decryption algorithms, under the premise of the same attributes, the encryption time decreases in a few seconds. When the number of attributes is 1, the encryption time decreases by 10 s, and when the number of attributes is 10, the encryption time decreases by about 100 s, and the efficiency is greatly improved.
Practical Evaluation Method for the Pouring Scheme of a Long‐Span Concrete‐Filled Steel Tube Arch Bridge
Authors: Yao Xinyu , Hao Tianzhi , Deng Nianchun
Published: July 2022

Concrete pouring steel tube arch is a critical part in the construction of a long‐span concrete‐filled steel tube arch bridge. With the adoption of the improved TOPSIS, this study summarized five indicators that controlled the concrete‐filled steel tube pouring sequence. The indicators include the vertical displacement of the arch rib, lateral offset of the arch rib, steel tube stress, concrete stress, and elastic safety factor of the arch rib. Furthermore, a comprehensive objective function‐rationalization index was proposed, based on which a practical evaluation and determination method for pouring scheme of the long‐span concrete‐filled steel tube arch bridge was developed. The results showed that a pouring sequence with relatively small stress in the arch rib, advanced alignment, and good stability could be determined using the proposed method.
Analysis on the Effect of Intelligentization and Improvement of Tourist Bus Loops Based on Markov Chain Decoupling
Authors: Chai Shousheng , Shan Jun , Long Chunfeng , Qianyi Wang
Published: July 2022

Based on vehicle positioning and remote data transmission technology, a quantitative analysis method for the impact of intelligent tour bus loops on the choice of transportation means between tourist attractions is developed. Aiming at the problem of undirected graph path planning where the influence of time series is known and the edge weights are known, Markov chains are introduced on the basis of the “0-1-like planning under time series” model, and a Markov chain-based algorithm is established. In this article, we proposed a model for route planning of a tourist bus. When solving, it is assumed that the weight of the edge changes with time, and random variables are introduced, but the past state will not affect the current state, and other conditions remain unchanged. After the constraint model is established, it is simulated by computer and solved using the stochastic gradient descent algorithm. The model makes the tour bus loop intelligent and has good interpretability and robustness.
Meta-analysis of Proton Pump Inhibitors in the Treatment of Pharyngeal Reflux Disease
Authors: Jin Xiulin , Zhou Xufeng , Fan Zongxian , Qin Yingchun , Zhan Junjie
Published: July 2022

The present study aimed to examine the safety and healing effects of proton pump inhibitors (PPIs) in people with laryngopharyngeal reflux disease (LPRD). To find all relevant studies published before April 1, 2022, we searched the PubMed, Embase, Web of Science, Clinical Trials, Cochrane Library, CNKI, and Wanfang databases. For SLE, we looked for all randomized controlled clinical trials related to PPIs versus placebo-controlled treatment of LPRD. Overall efficiency, reflux symptom index (RSI), reflux finding score (RFS), improvement in cough and hoarseness, and adverse reactions were compared using the Review Manager 5.3. Using the reflux symptom index (RSI) as an outcome indicator for efficacy assessment, the PPI group showed significant improvement compared with the placebo group [

MD
=
3.35

, 95% CI (1.34, 5.37,

P
<
0.05

)]. In terms of overall efficacy, the PPI group showed effectiveness, but its efficacy was not statistically significantly dissimilar from that of the placebo group [

OR
=
1.62

, 95% CI (0.89, 2.95),

P
>
0.05

].
Serum Vitamin D Level and Efficacy of Vitamin D Supplementation in Children with Atopic Dermatitis: A Systematic Review and Meta-analysis
Authors: Fu Hongbo , Li Yanting , Huang Huimin , Wang Dan
Published: July 2022

Background. The relationship between vitamin D and atopic dermatitis (AD) is controversial. This meta-analysis is aimed at exploring vitamin D level and its deficiency in pediatric AD and at evaluating the efficacy of vitamin D supplementation. Methods. PubMed, Medline, Embase, Ovid, Cochrane Library, ISI Web of Science, and ClinicalTrials were searched. Binary variables and continuous variables were measured by odds ratio (OR) and mean difference (MD) with 95% confidence intervals, respectively. The modified Jadad scale, Newcastle-Ottawa Scale (NOS), and Cochrane’s bias risk tools were used to evaluate study quality and the risk of bias of eligible studies, respectively. Results. A total of 22 literature were included in the analysis. Serum 25 (OH) D level in pediatric AD patients was significantly lower than that of the control group with a combined MD value of -8.18 (95% CI: -13.15, -3.22). Patients with AD were more prone to develop vitamin D deficiency with a combined OR value of 2.17 (95% CI: 1.15, 4.11). According to the score of SCORAD, the level of serum 25 (OH) D level in patients with severe AD was significantly lower than that in patients with mild AD (combined

MD
=
9.23

, 95% CI: 6.92, 11.55). Both self-control studies and randomized controlled trials showed improved SCORAD score and EASI score after vitamin D supplementation. Conclusion. This meta-analysis showed lower serum 25 (OH) D level and increased risk of vitamin D deficiency in pediatric AD patients as compared with healthy controls. The serum 25 (OH) D level in severe AD patients was significantly lower than that in the mild AD patients. The SCORAD and EASI score improved after vitamin D supplementation, suggesting its beneficial effect to AD patients. At the same time, more homogeneous studies are needed to reduce confounding factors and further evaluate the impact of vitamin D treatment on the outcome of AD patients.