bluuebunny/crossref_metadata_2025 huggingface dataset:
Supercapacitor characteristics of MoS2 and MoOx coated onto honeycomb-shaped carbon nanotubes
Authors: Li Wei , Huang Yung-Jui , Lin Pao-Hung , Chao Liang-Chiun , Lee Kuei-Yi
Published: April 2022

Two-dimensional molybdenum disulfide (MoS2) with multilayer hierarchical structures is generally considered to be able to provide more active sites and shorter diffusion channels for electrolytes, which make them extremely suitable for supercapacitor applications. Nevertheless, the MoS2 poor conductivity and rare surface area are the major technical obstacles. Herein, we demonstrated a honeycomb basis using carbon nanotubes (CNTs). The honeycomb-shaped carbon skeleton provides a relatively larger surface area to store more ions with a more stable and stronger structure to maintain long-term electrochemical tests. During MoS2 fabrication, MoOx was also synthesized onto CNTs. MoOx influenced the electrochemical test results. Thermal annealing was conducted to remove the MoOx attachments to assure the optimal capacitance value. For the particular composite honeycomb structure (MoS2/CNTs) used in this research, the specific capacitance increased from 4.7 F/g (CNTs) to 75 F/g (MoS2 + MoOx/CNTs), measured using cyclic voltammetry measurements. The specific capacitance further reached 425 F/g using thermal annealing at optimal temperature, 700 °C. The designed electrode materials demonstrated excellent electrochemical characteristics and had great potential for future electrochemical applications.
The Effect of Maximalist Running Shoes on Impact Loading: A Critically Appraised Topic
Authors: Loudon Janice K. , Swift Marcie
Published: April 2022

Clinical Scenario: Running injuries are common in runners. The use of maximal cushioned shoes (MAX) has been suggested as a preventive measure for reducing impact loading and thus running-related injuries. Clinical Question: Do maximalist running shoes reduce impact loading compared to traditional shoes in runners? Summary of Key Findings: A search was performed for articles exploring MAX on impact loading in runners. Five articles were included in this critically appraised topic. All were case-controlled laboratory studies that compared the MAX to a traditional running shoe. None of the studies found a reduction in impact loading with use of the MAX. Clinical Bottom Line: Based on five case-controlled studies, a MAX does not reduce impact loading on level surfaces or downhill running. Based on mixed results, the MAX may increase impact forces during level and downhill running. Future research should include randomized controlled trials that assess impact forces after the runner has adapted to the MAX and after running ultradistances. Strength of Recommendation: In agreement with the Center of Evidence-Based Medicine, the consistent results from five Level III intervention studies designate that there is Level C evidence that MAX do not reduce impact loading during a single running trial.
Gain-of-Signal Assays for Probing Inhibition of SARS-CoV-2 M
pro
/3CL
pro
in Living Cells
Authors: Moghadasi Seyed Arad , Esler Morgan A. , Otsuka Yuka , Becker Jordan T. , Moraes Sofia N. , Anderson Constance B. , Chamakuri Srinivas , Belica Christopher , Wick Chloe , Harki Daniel A. , Young Damian W. , Scampavia Louis , Spicer Timothy P. , Shi Ke , Aihara Hideki , Brown William L. , Harris Reuben S.
Published: April 2022

The main protease, M
pro
, of SARS-CoV-2 is an essential viral protein required for the earliest steps of infection. It is therefore an attractive target for antiviral drug development.
Complete Mitochondrial Genome Sequence of
Colletotrichum siamense
Isolated in South Korea
Authors: Cho Sung-Eun , Oh Ji Yeon , Lee Dong-Hyeon
Published: April 2022

The complete mitochondrial genome of
Colletotrichum siamense
is characterized. The circular genome has a size of 52,710 bp, with a GC content of 34.45%, and contains 15 protein-coding genes, 23 tRNA genes, and 2 rRNA genes.
Black hole thermodynamics in ($$2+1$$)-dimensional scalar–tensor-Born–Infeld theory
Authors: Dehghani M.
Published: April 2022

The action of scalar–tensor (ST) gravity theory can be written in both of the Jordan and Einstein frames, which are related via conformal transformations. Here, by introducing a suitable conformal transformation (CT), the action of three-dimensional Einstein-dilaton-Born–Infeld (EdBI) gravity has been obtained from that of scalar–tensor-Born–Infeld (STBI) theory. Despite the field equations of ST gravity, the exact solutions of Einstein-dilaton (Ed) theory can be obtained, easily. The exact solutions of STBI theory have been obtained from those of EdBI gravity by applying the inverse CTs. As the result, two novel classes of ST black hole (BH) solutions have been introduced in the presence of Born–Infeld (BI) nonlinear electrodynamics. The BHs’ conserved and thermodynamic quantities have been calculated under the influence of nonlinear electrodynamics. Then, through a Smarr-type mass formula, it has been shown that these quantities satisfy the standard form of the thermodynamical first law, in both of the Jordan and Einstein frames. Thermal stability or phase transition of the BHs have been investigate by use of the canonical ensemble method and regarding the signature of specific heat (SH). The points of first- and second-order phase transitions, and the size of those BHs which remain locally stable have been determined.
Synchronization, Multiresonance Phenomena, and Discrete Oscillation Periods in a Hopfield Neural Network with Two Time Delays
Authors: Rozier Kelvin , Bondarenko Vladimir E.
Published: April 2022

Hopfield neural network attracts particular attention as it serves as a relatively simple mathematical model that describes some properties of the brain function. We investigate analog Hopfield neural networks with two time delays. It is shown that the neural network with all inhibitory connections demonstrates growing oscillations after exceeding the threshold, and oscillations become synchronous after a relatively short period of time of the order of the larger time delay. The oscillation amplitude of the neural network as function of the time delay in one subnetwork demonstrates resonance-like phenomena with multiple peaks. The oscillation period of the neural network with two time delays shows discrete structure and changes within relatively narrow intervals in contrast to the oscillation period of the neural network with one time delay, which shows continuous changes of oscillation amplitude and period with time delay. Multiresonance behavior is sustained for both inhibitory and excitatory connections of the second subnetwork, while the first subnetwork possesses only inhibitory connections. The oscillation period of the subnetwork with smaller time delay and equal coupling strengths dominates the whole neural network activity. Turning on and off smaller time delay in one subnetwork allows for the control of the oscillation period and demonstrates memory-like behavior. Mechanisms of the simulated phenomena are disclosed and their similarity to brain function is discussed.
Bifurcation Analysis of a Fractional-Order Simplicial SIRS System Induced by Double Delays
Authors: Zhou Jiaying , Zhao Yi , Ye Yong , Bao Yixin
Published: April 2022

In this paper, a fractional-order susceptible-infected-recovered-susceptible (SIRS) model is studied, focusing on delay effects and high-order interactions. Two types of time delays are considered to describe latent period and healing cycle, respectively. From the ecological point of view, we found that the increasing delays caused by either the latent period or the healing cycle lead to the periodic outbreak of disease. The finding provided us with an important implication to preventing periodic outbreaks of disease by reducing the time delay, like accelerating the healing process with effective medication and medical intervention. Specifically, taking the time delays as bifurcation parameters, the stability of endemic equilibria and the existence of Hopf bifurcation are studied by analyzing the characteristic equation of the SIRS model. From a general point of view, based on the establishment of a fractional-order SIRS model, we found that the order of the fractional order is critical for describing the dynamic behavior of the model. Typically, the decrease of the order appears to bring about the disappearance of the periodic phenomenon (i.e. the periodic oscillation) of the originally stable system.
Bifurcations, Exact Peakon, Periodic Peakons and Solitary Wave Solutions of the Modified Camassa–Holm Equation
Authors: Zhou Yuqian , Chen Guanrong , Li Jibin
Published: April 2022

For the modified Camassa–Holm equation, by using the methodologies of dynamical systems and singular traveling wave theory developed by Li and Chen [2007] to its corresponding traveling wave system, under different parameter conditions, all possible exact explicit bounded solutions (solitary wave solutions, periodic wave solutions, peakon, periodic peakons, as well as compactons) are obtained. More than 23 explicit exact parametric representations of the above-mentioned traveling wave system are presented.
Emission characteristics of the target fragments at relativistic energy
Authors: Singh M. K. , Karmakar S. , Singh V.
Published: April 2022

In this recent work, we present the characteristic of the emission of the black particles ejected with [Formula: see text] [Formula: see text] [Formula: see text] and [Formula: see text] [Formula: see text][Formula: see text] i.e., in the forward and backward hemispheres, respectively. For the multiplicity variation study of black particles, we have considered the interaction of [Formula: see text]Kr beam with the CNO, AgBr target present in the nuclear emulsion detector. After doing the analysis of the data, we have found that the emission possibility of black particle is greater in the forward hemisphere (FHS) angle whereas in the backward hemisphere (BHS) angle, it is quite low. Along with this, we have also found that the emission probability of black particles does not posses any relation with projectile mass as well as with the incident energy. In this work, we have also studied the characteristics of shower and et al. particles using a new parameter Q (total charge [Formula: see text] of the outgoing projectile fragments emitted in forward cone [Formula: see text], here Z denotes charge, and PF denotes Projectile Fragment) instead of impact parameter to distinguish the different type of collision for two interacting nuclei. The observation from this study suggests that the emission probability of the shower particles as well as gray particles increase as the value of Q decreasing (i.e., as we move from peripheral to central colisions). The results of this work are also compared with the context of other experimental observations and it seems to be relevant.
Combinatorics of NC-probability spaces with independent constants
Authors: Diaz-Aguilera Carlos , Gaxiola Tulio , Santos Jorge , Vargas Carlos
Published: April 2022

The boolean and monotone notions of independence lack the property of independent constants. We address this problem from a combinatorial point of view (based on cumulants defined from weights on set-partitions, in the general framework of operator-valued probability spaces). We show that if the weights are singleton inductive (SI), then all higher-order cumulants involving constants vanish, just as in the free and classical case. Our combinatorial considerations lead rather directly to mild variations of boolean and monotone probability theories which are closely related to the usual notions. The SI-boolean case is related to c-free and Fermi convolutions. We also describe some standard combinatorial aspects of the SI-boolean and cyclic-boolean lattices, such as their Möbius functions, featuring well-known combinatorial integer sequences.
A comprehensive survey on charge scheduling of electric vehicles in smart grids in the 2010s
Authors: Nair Lakshmi M. , Mary Synthia Regis Prabha D. M.
Published: April 2022

Electric vehicles (EVs) are being introduced by different manufacturers as an eco-friendly alternative to vehicles with internal combustion engines, provided with several benefits. In the upcoming years, the count of EVs is expected to expand. However, the uncoordinated charging of these vehicles can put severe stress on the power grid. The problem of charge scheduling of EVs is an important issue and has seen significant research activity in the past few years. Thus, this survey paper intents to perform a review of 65 research works about this scenario that operate with different approaches under a diverse period of time. Particularly, this paper describes about the power flow model, scheduling control mechanism and type of charging followed in EVs. The performance measures recorded in each of the works are described here. Finally, a compact description on research gaps and challenges relying on this aspect is made that aids the researchers in doing future works.
Cotranslational Mechanisms of Protein Biogenesis and Complex Assembly in Eukaryotes
Authors: Morales-Polanco Fabián , Lee Jae Ho , Barbosa Natália M. , Frydman Judith
Published: April 2022

The formation of protein complexes is crucial to most biological functions. The cellular mechanisms governing protein complex biogenesis are not yet well understood, but some principles of cotranslational and posttranslational assembly are beginning to emerge. In bacteria, this process is favored by operons encoding subunits of protein complexes. Eukaryotic cells do not have polycistronic mRNAs, raising the question of how they orchestrate the encounter of unassembled subunits. Here we review the constraints and mechanisms governing eukaryotic co- and posttranslational protein folding and assembly, including the influence of elongation rate on nascent chain targeting, folding, and chaperone interactions. Recent evidence shows that mRNAs encoding subunits of oligomeric assemblies can undergo localized translation and form cytoplasmic condensates that might facilitate the assembly of protein complexes. Understanding the interplay between localized mRNA translation and cotranslational proteostasis will be critical to defining protein complex assembly in vivo.
High-Energy-Density Sputtered Iridium Oxide Micro-Supercapacitors Operating in Physiological Electrolytes
Authors: Geramifard Negar , Chakraborty Bitan , Dousti Behnoush , Lee Gil S. , Maeng Jimin
Published: April 2022

Traditional power sources for implantable devices, such as packaged internal batteries, suffer from bulkiness, limited cycle lifetime, and patient discomfort due to the need for periodic replacement surgery. Supercapacitors that directly utilize bodily fluids as electrolytes may serve as alternative power sources that are compact, durable, and patient-friendly. In this work, we present high-performance micro-supercapacitors that operate stably in physiological electrolytes for their potential as implantable miniature power sources. Sputtered iridium oxide films (SIROFs) produced using water-oxygen plasmas are employed as micro-supercapacitor electrodes and characterized in phosphate-buffered saline (PBS) and an inorganic model of interstitial fluid (model-ISF). The SIROF micro-supercapacitors exhibit a high volumetric capacitance of 425 F cm−3 (113 F g−1) in PBS and 223 F cm−3 (59.0 F g−1) in model-ISF, and an energy density of 59.1 mWh cm−3 (15.7 mWh g−1) in PBS and 30.9 mWh cm−3 (8.2 mWh g−1) in model-ISF. These devices show stability over 100,000 charging-discharging cycles without loss of capacitance in these electrolytes. Polyethylene glycol coatings on SIROF are also investigated as a potential means of controlling biomolecule absorption and enhancing biocompatibility. This work provides a step toward implantable micro-supercapacitors that directly use the biological fluids as electrolytes.
Associations between Circulating VEGFR2hi-Neutrophils and Carotid Plaque Burden in Patients Aged 40-64 without Established Atherosclerotic Cardiovascular Disease
Authors: Genkel Vadim , Dolgushin Ilya , Baturina Irina , Savochkina Albina , Nikushkina Karina , Minasova Anna , Kuznetsova Alla , Shaposhnik Igor
Published: April 2022

Background. Neutrophils expressing vascular endothelial growth factor receptor (VEGFR) represent a distinct subtype of neutrophils with proangiogenic properties. The purpose of this study was to identify the interrelations between circulating CD16hiCD11bhiCD62LloCXCR2hiVEGFR2hi-neutrophils and indicators of carotid plaque burden in patients without atherosclerotic cardiovascular diseases (ASCVD). Methods. The study included 145 patients, 51.7% men and 48.3% women, median age—49.0 years. All patients underwent carotid duplex ultrasound scanning. The maximal carotid plaque thickness was used as an indicator of carotid plaque burden. Also, carotid intima-media thickness (cIMT) and femoral IMT were measured. The phenotyping of neutrophil subpopulations was executed by the flow cytometry via the Navios 6/2. Results. The subpopulation of VEGFR2hi-neutrophils accounted for about 5% of the total pool of circulating neutrophils. A decrease in VEGFR2hi-neutrophils with an increase in carotid plaque burden was statistically significant (

p
=
0.036

). A decrease in VEGFR2hi-

neutrophils
<
4.52
%

allowed to predict the presence of plaque with a maximum

height
>
2.1

 mm (Q4), with sensitivity of 78.9% and specificity of 61.5% (AUC 0.693; 95% CI 0.575-0.811;

p
=
0.007

). Inverse correlations were established between the carotid and femoral IMT and the absolute and relative number of VEGFR2hi-neutrophils (

p
<
0.01

). Conclusion. In patients aged 40-64 years without established ASCVD, with an increase in indicators of the carotid plaque burden, a significant decrease in the proportion of circulating VEGFR2hi-neutrophils was noticed. A decrease in the relative number of VEGFR2hi-neutrophils of less than 4.52% made it possible to predict the presence of extent carotid atherosclerosis with sensitivity of 78.9% and specificity of 61.5%.
Efficacy of Methylprednisolone plus Azithromycin in the Treatment of RMPP and Its Effect on the Changes of T Lymphocyte Subsets
Authors: Lv Jun , Fan Fei
Published: April 2022

Objective. To explore and analyze the efficacy of methylprednisolone combined with azithromycin in the treatment of refractory Mycoplasma pneumoniae pneumonia (RMPP) and its effect on the changes of T lymphocyte subsets. Methods. A total of 120 children with RMPP admitted to our hospital from September 2016 to September 2020 were randomized at a ratio of 1 : 1 into the control group (conventional treatment) and the observation group (methylprednisolone plus conventional treatment). Outcome measures included clinical efficacy, symptoms mitigation, changes in inflammatory factors, T lymphocyte subsets, and adverse reactions. Results. Compared with the control group, the total clinical effective rate of the observation group was higher (

P
<
0.05

). The disappearance time of cough, wheezing, pulmonary rales, and X-ray lung shadows in the observation group was significantly shorter than that in the control group after treatment (

P
<
0.05

). The serum C-reactive protein (CRP), tumor necrosis factor-alpha (TNF-α), and interleukin (IL)-8 levels of the observation group after treatment were significantly lower than those of the control group (

P
<
0.05

). Compared with the control group, the observation group had a higher CD4+ value, lower CD8+ value, and higher CD4+/CD8+ value after treatment (all

P
<
0.05

). There was no significant difference in adverse reactions between the two groups during treatment (

P
>
0.05

). Conclusion. Methylprednisolone plus azithromycin might serve as an alternative in the treatment of RMPP. It facilitates the mitigation of clinical symptoms and signs and regulates the level of inflammatory factors and cellular immune dysfunction, with good effectiveness and a high safety profile.
Optimal Defect Detection and Sensing System of Railway Tunnel Radar considering Multisensor System Combined with Active Interference Suppression Algorithm
Authors: Lei Yang , Zou Yong , Jiang Bo , Tian Tian
Published: April 2022

With the rapid development of science and technology, testing equipment and testing methods are constantly updated. Radar detectors have the advantages of losslessness, high efficiency, high resolution, and high-speed radar image capture. They can accurately locate defects in railway tunnels, respond to hidden dangers in time, and provide strong technical support for transportation. This paper proposes to optimize the defect detection of railway tunnel radar through the combination of multisensor technology and active interference suppression algorithm and designs the corresponding sensor system according to the content. This article analyzes several factors that affect the radar detection effect and makes a detailed summary from the detection environment and other aspects. At the same time, it uses the multisensor system combined with active interference suppression algorithm to design a railway tunnel detection simulation experiment. Experimental results show that the use of multisensors combined with active interference suppression algorithm to optimize radar detection can effectively improve the accuracy of railway tunnel defect detection. Through the analysis of the results of tunnel defect detection, the detection accuracy of this paper has reached 98.8%, which can provide an effective reference for the detection of railway tunnels.
Effects of Pramipexole Combined with Nerve Growth Factor on Cognitive Impairment and Urinary AD7c-NTP Expression in Patients with Parkinson’s Disease
Authors: Wang Zhengxin , Cheng Saiyu
Published: April 2022

Objective. To explore the effects of pramipexole combined with nerve growth factor (NGF) on cognitive impairment and urinary Alzheimer-associated neural thread protein (AD7c-NTP) expression in patients with Parkinson’s disease (PD). Methods. Fifty patients with PD treated in our hospital from February 2020 to April 2021 were enrolled. The patients were arbitrarily assigned into control group and study group. The former was treated with pramipexole, and the latter was treated with pramipexole combined with NGF. The efficacy, cognitive function, serum inflammatory factors, cortisol levels, serum macrophage migration inhibitory factor (MIF), brain-derived neurotrophic factor (BDNF), urine AD7c-NTP levels, and the incidence of adverse reactions were compared. Results. First of all, the effective rate in the study group was higher compared to the control group (

P
<
0.05

). After treatment, the cognitive function was enhanced, and the scores of Montreal cognitive assessment (MoCA) in the study group were higher compared to the control group (

P
<
0.05

). The levels of serum IL-6, CRP, and TNF-α decreased after treatment, and the levels of serum IL-6, CRP, and TNF-α in the study group were remarkably lower compared to the control group (

P
<
0.05

). In addition, the levels of serum DA, NE, and 5-HT increased after treatment, and the levels of serum DA, NE, and 5-HT in the study group were remarkably higher compared to the control group (

P
<
0.05

). Then, the levels of serum MIF and urine AD7c-NTP decreased and BDNF increased after treatment, and the level of BDNF in the study group was higher compared to the control group, while the levels of serum MIF and urine AD7c-NTP in the study group were lower compared to the control group (

P
<
0.05

). Finally, the adverse reactions were compared. The incidence of adverse reactions in the study group was lower compared to the control group, and the difference exhibited not statistically significant (16.00% vs. 24.00%,

P
>
0.05

). Conclusion.Pramipexole combined with NGF therapy not only can effectively strengthen the cognitive impairment of patients with PD and promote clinical efficacy and high safety but also can inhibit inflammatory state, regulate brain neurotransmitters, and reduce urinary AD7c-NTP levels.
Polymorphisms of ATG5 Gene Are Associated with Autoimmune Thyroid Diseases, Especially Thyroid Eye Disease
Authors: Wang Wen , Yu Zheng-yao , Song Rong-hua , He Shuang-tao , Shi Liang-feng , Zhang Jin-an
Published: April 2022

Objective. To explore the association of ATG5 gene polymorphisms with autoimmune thyroid diseases (AITDs) including Hashimoto’s thyroiditis (HT) and Graves’ illness (GD) as well as their clinical features. Methods. rs6568431, rs548234, and rs6937876 were selected to investigate the correlation of single-nucleotide polymorphisms of ATG5 gene with AITDs. Their frequencies in 824 AITD patients, including 271 HT patients and 553 GD patients, and 764 healthy controls were tested using both ligase detection reaction and multiplex polymerase chain reaction. Results. Allele A frequency of rs6568431 in AITDs patients (

p
=
0.016

,

OR
=
1.201

, 95%

CI
=
1.034
−
1.394

) and allele G frequency of rs6937876 in AITDs patients (

p
=
0.009

,

OR
=
1.223

, 95%

CI
=
1.052
−
1.422

) and in GD patients (

p
=
0.009

,

OR
=
1.247

, 95%

CI
=
1.056
−
1.473

) were significantly higher than those in the healthy controls. The frequency of G allele (

p
=
5.42
E
−
18

,

OR
=
0.242

, 95%

CI
=
0.173
−
0.339

) of rs6937876 was significantly higher in GD patients with ophthalmopathy. However, no relationship was found between family history, age onset, and the three SNPs. Conclusion. The study is the first to reveal the association between AITDs and ATG5 polymorphisms, and ATG5 gene is considered as a predisposing gene to AITDs, especially GDs.
Intrusion Detection System Based on Genetic Attribute Reduction Algorithm Based on Rough Set and Neural Network
Authors: Luo Jan , Wang Huajun , Li Yanmei , Lin Yuxi
Published: April 2022

The development of computer network technology not only brings convenience to people’s life but also has many information and data security problems and threats. The performance and problems of traditional intrusion detection system make it insufficient to resist intrusion attacks effectively and with high quality. Therefore, this paper proposes an intrusion detection system based on the combination of genetic attribute reduction algorithm based on rough set and neural network. Based on the traditional BP neural network, this paper combines the genetic attribute reduction algorithm based on rough set to optimize the structure and performance of the system. The experimental results show that the genetic attribute reduction algorithm based on rough set has faster convergence speed and can effectively shorten the running time of the system and improve the efficiency of the algorithm. At the same time, the intrusion detection system based on the combination of genetic attribute reduction algorithm based on rough set and neural network has significantly improved the detection rate of five intrusion attacks compared with the traditional algorithm and achieved the purpose of optimizing the real time and effectiveness of intrusion detection.
A New Way to Model the Wireless Sensor Network Maintenance Job
Authors: Wei Ziqi , MacGregor Mike
Published: April 2022

For the maintenance of an urban wireless sensor network, the staff’s travel route greatly affects the whole network’s response time. Every time the network reports an error, the staff needs to find the best route to minimize the time spent on the way to the error point. The difficulty of the problem is that although the entire network fails, the error point remains unclear. In this paper, the staff’s route planning is modeled as an NP-complete problem, MWLP (Minimum Weighted Latency Problem). It is a problem of finding the best route for a moving agent to satisfy multiple customers’ different demands as much as possible. To solve the problem, we propose a heuristic algorithm which borrows the idea from a biological computing model called P_system. In the proposed algorithm, different classic heuristics work as separate “membranes” to accomplish their own jobs. They also collaborate under some mechanism to search for a better result. We designed the cell’s structure to balance the different heuristics’ time consumption and searching capacity. With this design, all the heuristics can cooperate properly in the proposed heuristic algorithm. To enhance the algorithm’s efficiency, we also introduced a way to run it in parallel. The numerical experiments show that the proposed algorithm is very competitive compared with classic heuristic algorithms and helps eliminate the whole network delay as well.
Internet of Things Device Identification Algorithm considering User Privacy
Authors: Wang Lin
Published: April 2022

The Internet of Things has become the third wave of the information industry and cloud computing, big data, and Internet technologies. Among the many identification technologies used in the Internet of Things, radiofrequency identification technology is undoubtedly one of the most popular methods today. It is replacing the traditional contact IC card and becoming a new trend of smart cards. At the same time, a large amount of data is generated in the IoT environment. A lot of data involve user privacy, and users do not have good control over these data. Collecting and utilizing these data on the basis of protecting user privacy have become an important problem to be solved urgently. With the implementation of the strategy of rejuvenating the country through science and education, major colleges and universities are developing rapidly through enrollment and expansion, which also brings inconvenience to campus security management. Although the traditional campus all-in-one card system can guarantee the security identity of people entering and leaving, it does not reasonably integrate and utilize this information, resulting in waste of information resources and, to a certain extent, the problem of user privacy leakage. To solve the above problems, a new system was developed to integrate resources to identify users. To protect the privacy data of Internet of Things users, a specific solution using blockchain technology is proposed; for the identity authentication problem of Internet of Things users, the identity authentication based on the public key address of the blockchain is used on the chain, and the group signature is used off the chain. The identity authentication method solves the contradiction between anonymity and traceability in blockchain application scenarios. The simulation results show that the system not only considers user privacy but also has extremely important practical significance for the promotion of Internet of Things and RF applications.
IOT Automation with Segmentation Techniques for Detection of Plant Seedlings in Agriculture
Authors: Kamal Shoaib , Shobha K. R. , Francis Flory , Khilar Rashmita , Tripathi Vikas , Lakshminarayana M. , Kannadasan B. , Sahile Kibebe
Published: April 2022

The present work proposes to evaluate, compare, and determine software alternatives that present good detection performance and low computational cost for the plant segmentation operation in computer vision systems. In practical aspects, it aims to enable low-cost and accessible hardware to be used efficiently in real-time embedded systems for detecting seedlings in the agricultural environment. The analyses carried out in the study show that the process of separating and classifying plant seedlings is complex and depends on the capture scene, which becomes a real challenge when exposed to unstable conditions of the external environment without the use of light control or more specific hardware. These restrictions are driven by functionality and market perspective, aimed at low-cost and access to technology, resulting in limitations in processing, hardware, operating practices, and consequently possible solutions. Despite the difficulties and precautions, the experiments showed the most promising solutions for separation, even in situations such as noise and lack of visibility.
Bioactive Compounds in Ficus Fruits, Their Bioactivities, and Associated Health Benefits: A Review
Authors: Walia Ankita , Kumar Naveen , Singh Rajat , Kumar Harish , Kumar Vikas , Kaushik Ravinder , Kumar Avvaru Praveen
Published: April 2022

Bioactive compounds are secondary metabolites synthesized by plants for maintaining homeostasis; however, they also modulate metabolic processes and demonstrate valuable effects in the human body. The fig was cherished as food and for its pharmaceutical properties. The presence of a wide range of biologically active compounds such as carotenoids, flavonoids, phenols, and vitamin C is obligated for their functional properties as well as their technological capability as a dietary supplement is responsible for most health impacts. Owing to the rich and diversified composition of biologically active compounds these compounds possess different biological properties such as antioxidant, anti-inflammatory, antidiabetic, antimicrobial, and hepatoprotective activity that implies those bioactive substances might be used in the creation of novel culinary and medicinal products. Fig fruit should be widely recognized as a natural functional product. This systematic and comprehensive review gives the notion of developing figs species as a viable and innovative component for its varied food and nonfood applications as a remarkable and primitive source of medication and nourishment.
Analysis of the Coal Fluidization Mining Process with the Continuous-Discontinuous Coupled Particle-Block Method
Authors: Li Jing , Feng Chun , Zhu Xinguang , Zhang Yiming
Published: April 2022

In situ fluidization mining is a promising method which shows considerable potential for reducing the ecological influence impacts of coal mining. During fluidization mining, coal gangue will be separated from the ores, filled back, and returned to the excavation region, which, depending on the filling rate, greatly reduces the stratum deformation of strata, depending on the filling rate. Numerical simulations can assist engineers in evaluating stratum deformation and optimizing affordable designs with affordable costs. Accordingly, in this work, a continuous–discontinuous element method is adopted, which is a coupled particle–block finite-discrete element method with an explicit integration formulation, which is adopted for simulating the coal in situ fluidization mining–filling processes. The theory concept of an “equivalent mining height” is utilized to define the backfill mining height. The results partly reveal the influences of the filling rate on the stratum deformation, surface subsidence, and rock burst phenomena, all of which further indicate the advantages of the fluidization mining method.
Experimental Study on Mechanical Properties of Polypropylene: Steel Fiber Concrete and Loading Characteristics of Shaft Lining
Authors: Qin Bendong , Li Shuo , Guo Jiaqi , Liu Shaofeng , Liu Xiliang , Lai Yongbiao , Li Hailiang
Published: April 2022

With the rapid consumption of shallow coal resources, the depth of shaft lining construction continues to increase; huge formation pressure and complex geological conditions make the stress condition of shaft lining become more complex. The concrete strength grade is usually enhanced to improve the bearing capacity of shaft lining; however, high strength grades bring high brittleness. In order to solve the problem of high brittleness of high-strength concrete shaft lining in ultra-deep mine construction, a steel-polypropylene hybrid fiber high-performance reinforced concrete (SPHFRC) shaft model was developed. The SPHFRC with various mix proportions was prepared by optimizing the fiber content. The mechanical properties of SPHFRC were tested and compared with the reference concrete (PHSC). The results show that the SPHFRC can be obtained by adding the volume fraction in 1.2% steel fiber and 1.0% polypropylene fiber, which increases the tensile strength by 27.5% and the compressive strength of SPHFRC was similar to the reference concrete. By introducing a new brittleness evaluation index B to evaluate the brittleness of concrete, the results show the fiber greatly improves the brittleness problem of PHSC. Afterwards, a model test of PHSC and SPHFRC shaft lining was conducted, and the circumferential and axial load-stress-strain curves and load-displacement curves of concrete and steel bars are analyzed. Combining the failure characteristics of the two shaft lining models, the following conclusions are obtained: The ultimate bearing capacity of PHSC shaft lining is hardly affected by fibers, but the hoop displacement is significantly reduced and the circumferential stability of shaft lining has been greatly improved, the initial cracks appeared late, the speed of crack’s propagation is reduced, and no obvious concrete peeling and separation appeared during damage. The comprehensive performance of SPHFRC shaft lining is excellent, which has better ductility and anti-deformation ability.
Vehicle State Estimation Based on Adaptive Fading Unscented Kalman Filter
Authors: Liu Yingjie , Cui Dawei
Published: April 2022

Aiming at solving problem of vehicle state estimation, an adaptive fading unscented Kalman filter(AFUKF) algorithm was proposed. Based on this purpose, a 7-DOF nonlinear vehicle model with the Pacejka nonlinear tire model was established firstly. Then, the vehicle state estimator based on Kalman filter was designed to solve the problem of vehicle state estimation. The simulation verification shows the effectiveness and reliability of the designed estimator for vehicle state estimation. Compared with other traditional methods, the calculation accuracy is higher for the AFUKF algorithm to solve the problem of vehicle state estimation. The study can help drivers easily identify key state estimation in safe driving area.
Validity Analysis Based on Multidimensional Pattern Analysis and Machine Learning Theory in Educational Teaching Assessment
Authors: Fang Haibo
Published: April 2022

Prediction and evaluation methods have important and extensive applications in college education and teaching. These methods are usually realized by intelligent learning machine based on training method. In this case, a very important question is worth analyzing: are all these methods effective? Therefore, this paper converts the original score into standard score through normal distribution, explains the application of standard score, provides a practical standard score processing method for examination subjects with a full score of 150, and establishes a basic model for comparing the overall score or the overall average score by using standard score when combining the scores of different subjects (including examination), so as to determine the individual score in a group, or deeply analyze the basic model and weighting model to determine the relative position of individual scores in a group or population, and evaluate the effectiveness of various methods. Finally, make a general assertion on the effectiveness of prediction and evaluation using intelligent learning machine. In fact, there are many factors that affect the effectiveness of education and teaching and human ability. There are differences between the data of education and teaching effectiveness and human ability. The distribution of these data is generally more in the middle, less in too large and too small.
Clinical Characteristics of Diabetes Complicated by Bacterial Liver Abscess and Nondiabetes-Associated Liver Abscess
Authors: Wang Fei , Yu Jingwen , Chen Wenjie , Mo Zewei , Zhang Yuhai
Published: April 2022

Background. Bacterial liver abscess (BLA) is a secondary infectious disease caused by hepatic parenchymal inflammation and bacterial necrosis. Studies have shown that diabetic patients with BLA have higher rates of related adverse events than patients without diabetes. Aim. To explore the clinical characteristics of BLA complicated with diabetes and nondiabetes-related BLA. Methods. From January 2019 to June 2020, 61 diabetic patients with BLA were included as the study group, and 61 BLA patients without diabetes were included as the control group. Clinical manifestations, laboratory examination index (prothrombin activity (PTA), albumin (propagated), white blood cell count (WBC), red blood cell count (RBC), plasma fibrinogen (FIB), C-reactive protein (CRP), neutrophil percentage (NEUT), and prealbumin (PA)) levels, blood cultivation, and fester situation in the two groups were analyzed. Results. No differences of Fever, right upper abdominal pain, jaundice, vomiting and nausea, liver tenderness, and liver pain upon percussion were observed between the study and control groups. However, chill, cough and expectoration, and liver pain upon percussion were higher in the study group, while abdominal distension was lower. WBC, RBC, PA, PTA, FIB, and CRP were higher than the control group. NEUT was higher in the study group than in the control group and Alb was lower than that in the control group. There was no significant difference between the positivity of blood bacterial culture in the study and control groups. The positivity rate of Klebsiella pneumoniae in Gram-negative aerobic bacteria in the study group was higher than that in the control group. There was no significant difference between the positivity of fester culture of the two groups. The positivity of K. pneumoniae in Gram-negative aerobic bacteria in the study group was higher than that in the control group. The positivity of E. coli was lower in the study group than in the control group. Conclusion. Clinical manifestations and laboratory results of BLA patients with and without diabetes mellitus were significantly different. The symptoms of diabetics with BLA were serious.
Studies on the Antiliver Injury of Effective Parts from Saururus chinensis by Rats and Mice Model In Vivo
Authors: Wang Chaonan , Cheng Dongyan , Yan Mingming , Wang Lishu
Published: April 2022

The aim of this study was to evaluate the pharmacodynamics of the effective parts from Saururus chinensis (EPS) in vivo. The antihepatic fibrosis and injury effects of EPS were investigated with the following four model animals including the effect on Wistar rats with liver fibrosis induced by complex factors, mice with acute liver injury induced, respectively, by carbon tetrachloride and alcohol, and Sprague-Dawley (SD) rats with acute liver injury caused by D-galactosamine hydrochloride. The pharmacodynamics results showed that the rats’ oral administration of EPS can significantly inhibit the formation of liver fibrosis in rats caused by complex factors and has significant preventive and therapeutic effects on acute liver injury caused by various factors as shown by decreased levels of serum biochemical indicators and improved pathological grade. Taken all together, our findings showed that EPS exhibits potent activities and should be considered a good option and an additional source of natural compounds for the treatment of hepatic fibrosis and hepatic injury.
A Study on the Relationship between Artificial Intelligence and 5G Network Construction and the Level of Economic Development of Regional Cities
Authors: Xiong Cheng , Song Ting , Zhou ChangCheng
Published: April 2022

Urban digital governance represented by digital city and smart city is becoming an important direction of urban agglomeration development. It is necessary to reexamine the internal relationship mechanism between local government digital action and regional governance behavior. Based on the theory of collective action and network governance, this paper discusses how the economic development level of local government interacts with the cooperative network status of urban agglomeration and affects the tendency of digital governance strategy of local government. By constructing the configuration matrix of “economic development level” and “cooperative network status” of local governments in urban agglomerations, this paper extracts the possible “center” and “follow” governance strategies that local governments in different configurations may adopt in the digital field. The ant colony optimization algorithm proposed in this paper consists of two parts—ACO initialization and ACO optimization. ACO initialization describes how to map the path of ants to the solution of the problem, that is, the combination of orders. In addition, ACO initialization will also define and initialize the pheromone and heuristic information model compatible with the solution. ACO optimization updates the pheromone model to heuristic guide ants to build paths, so as to iteratively find the optimal solution. The case study of 26 cities in the Yangtze River Delta of China shows that most of the digital governance strategies of local governments are in line with the selection logic of their configuration status of “economic level network status”. The study results proved that the proposed model has provided effective accuracy of 96%. However, driven by selective returns, there are still some “abnormal” governance tendencies.
Application of Prediction Model Using Parallel Computing in Music Cultural Facilities
Authors: Zhang Jing
Published: April 2022

The important carrier of urban music and cultural activities is urban music and cultural facilities. In today’s environment of rapid urban development and continuous acceleration of people’s pace of life, the previous problems of music and cultural facilities with out-of-order combination, unbalanced layout and distorted scale cannot meet the basic music and cultural needs put forward by citizens. Therefore, more and more people begin to expect a reasonable layout of music and cultural facilities in their living environment. For this problem, this paper uses the prediction model of parallel computing when applying music and cultural facilities. The proposed model takes Chongqing as the research object and analyzes the construction of music and cultural facilities in various districts of the Chongqing. We investigate the specific number of music and cultural facilities in various districts and the surrounding population. Furthermore, we study whether the equipped music and cultural facilities meet people’s actual needs. Form our evaluation, it is concluded that certain districts of the Chongqing have rich educational facilities, while other districts have a very balanced distribution of music and cultural facilities, and there are different degrees of imbalance in music and cultural facilities in other regions. Through analyzing the fairness of music and cultural facilities, the Lorentz curve of music and cultural facilities is drawn based on the population proportion of each region, and the Gini fairness coefficient is calculated to be 0.53. The attractiveness of the music and cultural facilities in Chongqing is analyzed according to the road traffic and public transportation of each region.