bluuebunny/crossref_metadata_2025 huggingface dataset:
Facile Synthesis of ZnO/ CuO Composite Nanofiber with Outstanding Photocatalytic Degradation Properties for Humic Acid
Authors: Wang Chencheng , Ni Huicheng , Liu Tingrui , Wu Zhiyi , Wang Yaping , Chen Xingwang , Qian Junchao , Wu Zhiren
Published: August 2022

The zinc oxide (ZnO)/ copper oxide (CuO) composite nanofiber materials are synthesized by a combination of electrospinning and oxidation methods. The results show that products obtained by oxidative calcination maintain the proportion of elements in the precursor and reproduce the original fiber and pore structure. According to different phase analyses, the composite process changes the energy band structure of the system and improve the separation of photogenerated electron hole pairs. In addition, oxidation temperature affects the morphology and properties of products. After illumination for 2.5 h, the degradation rate of humic acid of ZnO/ CuO composite nanofibers synthesized by oxidation at 550∘C reaches 70%, which is higher than that of the materials and single component pure materials obtained at different oxidation temperatures.
The role of host refuge and strong Allee effects in a host–parasitoid system
Authors: Hu Xiaochuan , Jang Sophia R.-J.
Published: August 2022

We propose and study a discrete host–parasitoid model of difference equations with a spatial host refuge where hosts in the refuge patch are free from parasitism but undergo a demographic strong Allee effect. If the growth rate of hosts in the non-refuge patch is less than one, a host Allee threshold is derived below which both populations become extinct. It is proven that both populations can persist indefinitely if the host growth rate in the non-refuge patch exceeds one and the maximum reproductive number of parasitoids is greater than one. Numerical simulations reveal that the host refuge can either stabilize or destabilize the host–parasitoid interactions, depending on other model parameters. A large number of parasitoid turnover from a parasitized host may be detrimental to the parasitoids due to Allee effects in the hosts within the refuge patch. Moreover, it is demonstrated numerically that if the host growth rate is not small, the population level of parasitoids may suddenly drop to a small value as some parameters are varied.
Corporate Culture, Innovation, and Female Board Representation: Evidence from Earnings Conference Calls
Authors: Likitapiwat Tanakorn , Treepongkaruna Sirimon , Jiraporn Pornsit , Uyar Ali
Published: August 2022

Exploiting a novel measure of corporate culture based on cutting-edge machine learning algorithms, we examine how female board representation influences a culture of innovation, and also whether female directors spur innovation culture in the presence of an active takeover market. Our results show that higher board gender diversity improves a corporate innovation culture considerably. Specifically, a rise in female board representation by one standard deviation improves an innovative culture by 4.37%. The findings corroborate the argument that female directors infuse the firm with new ideas and different perspectives, thereby enhancing an innovative culture. Furthermore, we also show that female board representation’s interaction with the takeover market, which is a crucial external governance mechanism, spurs a corporate innovation culture as well. This implies that board gender diversity substantially softens the negative effect of hostile takeover threats on corporate innovation. Our study is the first to link board gender diversity to a culture of innovation and show the interaction effect with takeover threats.
Optimization of Corrosion Rate of Coatings Using RSM and Particle Swarm Optimization Algorithm
Authors: Sarkar Subhasish , Chakravarty Soumyabrata , Barai Binod , Koley Ishita , Ghuku Sushanta , Biswas Palash , Haldar Partha
Published: August 2022

This study focuses on the electroless deposition of Ni–P alloy over a copper substrate to minimize the corrosion rate of the substrate. Central Composite Design (CCD) has been performed using Design-Expert software for minimizing the corrosion rate of the coating. Along with that, CCD is also utilized to analyze the influence of various process parameters viz. concentration of Nickel Sulphate, the concentration of Sodium Hypophosphite and bath temperature. Potentiodynamic test has been employed to evaluate the corrosion rate of each of the coated substrates. In order to minimize the corrosion rate, optimization has been performed using particle swarm optimization (PSO). 21.59[Formula: see text]g/L of Nickel Sulphate, 26. 72[Formula: see text]g/L of Sodium Hypophosphite and 93.41°C as the bath temperature were the optimum conditions for the deposition of coating in order to achieve a corrosion rate value of 0.862[Formula: see text]mm/Yas obtained from the model analysis results. Further, Analysis of Variance (ANOVA) was implemented which corroborated that the parameter Nickel Sulphate along with the interaction between Sodium Hypophosphite and bath temperature were the significant ones in determining the corrosion rate of the coating deposited in optimized condition. Optical Microscopy, Scanning Electron Microscopy (SEM), and Energy Dispersive X-ray analysis (EDX) were conducted to study the surface morphology and the elemental composition of the coated substrate respectively.
Recent Developments in Event-Triggered Control of Nonlinear Systems: An Overview
Authors: Zhang Pengpeng , Liu Tengfei , Chen Jie , Jiang Zhong-Ping
Published: August 2022

Event-triggered control is a most popular paradigm for transferring feedback information in an economical “as needed” manner. The study of event-triggered control can be traced back to the 1960s. Following significant advances on the topic of control over networks and the topic of nonlinear control systems over the last two decades, event-triggered control has quickly emerged as a major theoretical subject in control theory. Applications of event-triggered control are wide-spread ranging from embedded control systems and industrial control processes to unmanned systems and cyber-physical transportation networks. In this paper, we first review developments in the synthesis of event-triggered sampling mechanisms. Various event triggering mechanisms, such as static event trigger, dynamic event trigger, time-regularized event trigger, and event trigger with positive threshold offsets, are systematically discussed. Then, we study how to design a stabilizing controller that is robust with respect to the sampling errors. Finally, we review some recent results in the directions of self-triggered control, event-triggered tracking control and cooperative control, and event-triggered control of stochastic systems and partial differential equation systems. Practical applications of event-triggered control are also discussed.
Deconstructing the bakery to build a distributed state machine
Authors: Lamport Leslie
Published: August 2022

A rigorous journey from the bakery algorithm to a distributed state machine.
A Fully Coupled Mechano-Electrochemical Model for All-Solid-State Thin-Film Li-Ion Batteries with Non-Porous Electrodes: Effects of Chemo-Mechanical Expansions on Battery Performance and Optimization Strategies for Stress Evolution
Authors: Shao Yu-qiang , Shao Xiao-dong , Sang Lin , Liu Huan-ling
Published: August 2022

A comprehensive and novel mechano-electrochemical coupling model for all-solid-state Li-ion batteries (ASSLBs) is developed, in particular, focusing on the influence of the volume changes caused by ions redistribution in the electrodes on the electrical and mechanical properties of the battery. The mathematical relationship between the partial molar volume and Poisson’s ratio is determined for the condition of zero stress. The roles of the partial molar volumes of cathode and anode, the thickness and Young’s modulus of the spacer are investigated. The results show that the electrode volume changes significantly during the charging and discharging process. Due to the mechanical imbalance, the confined cell generates considerable compressive stress (approximately 0.6 MPa). Reducing the partial molar volume of the anode can not only eliminate the compression stress but augment the capacity. Note that for the ASSLBs containing inorganic (oxide or sulfide) solid electrolytes (SEs), adjusting the material parameters to obtain proper compressive stress instead of a bulky cell holder may be another useful method to overcome the poor interface contact. Finally, by introducing polyurethane foam or other soft blocks with a suitable thickness and Young’s modulus as spacers, the stress of the cell can be reduced by 79.33%.
Detection of the Neurodegenerative Drug in a Biological Sample Using Three-Dimensional Sphere Mixed Metal Oxide Tailored with Carbon Fiber as an Electrocatalyst by Voltammetry Technique
Authors: Vinoth Subramaniyan , Wang Sea-Fue
Published: August 2022

The scientific community has shown a lot of interest in the design and engineering of electrodes as sensing platforms for sensitive and selective drug detection in recent years. The sensor based on three-dimensional spheres like NiCo2O4 tailored on carbon nanofiber CNF as a hybrid composite was prepared by hydrothermal-assisted synthesis. This combination was preferred due to its superior electro-catalytic activity. Various physical characterizations, such as morphological analysis and spectroscopic tests, were performed on the as-synthesized composite. The electrochemical performance of the modified NCO@CNF electrode is investigated for the detection of clioquinol. The structural property of NCO@CNF promoted a high charge transfer ratio with outstanding conductivity. Upon the amperometric analysis, a low detection limit (LOD) of 8 nM with a very wide linear range of 0.01–301.4 μM and good sensitivity of 0.177 μA μM−1 cm−2 was witnessed for clioquinol detection. Additionally, NCO@CNF modified electrode demonstrated superior anti-interference capability, repeatability, reproducibility, cycle stability (30 cycles) and operational stability (2000 s). The proposed NCO@CNF electrode was tested with diverse biological samples like human blood and urine and showed remarkable recovery.
Oxygen uptake kinetics and chronotropic responses to exercise are impaired in survivors of severe COVID-19
Authors: Longobardi Igor , Prado Danilo Marcelo Leite do , Goessler Karla Fabiana , Meletti Matheus Molina , de Oliveira Júnior Gersiel Nascimento , de Andrade Danieli Castro Oliveira , Gualano Bruno , Roschel Hamilton
Published: August 2022

Our findings provide novel data regarding the impact of COVID-19 on submaximal and maximal cardiopulmonary responses to exercise. We showed that V̇o2 kinetics is significantly impaired at both the onset (on-transient) and the recovery phase (off-transient) of exercise in these patients. Furthermore, our results suggest that survivors of severe COVID-19 may have a higher metabolic demand at a walking pace. These findings may partly explain the exertional intolerance frequently observed following COVID-19.
[Retracted] Influence of the Physical Inclusion of ZrO2/TiO2 Nanoparticles on Physical, Mechanical, and Morphological Characteristics of PMMA‐Based Interim Restorative Material
Authors: Alrahlah Ali , Khan Rawaiz , Vohra Fahim , Alqahtani Ibrahim M. , Alruhaymi Adel A. , Haider Sajjad , Al-Odayni Abdel-Basit , Saeed Waseem Sharaf , Murthy H. C. Ananda , Bautista Leonel S.
Published: August 2022

Polymethyl methacrylate (PMMA) is often used in restorative dentistry for its easy fabrication, aesthetics, and low cost for interim restorations. However, poor mechanical properties to withstand complex masticatory forces are a concern for clinicians. Therefore, this study aimed to modify a commercially available PMMA‐based temporary restorative material by adding TiO2 and ZrO2 nanoparticles in different percentages as fillers and to investigate its physio‐mechanical properties. Different percentages (0, 0.5, 1.5, and 3.0 wt%) of TiO2 and ZrO2 nanoparticles were mixed with the pristine PMMA resin (powder to liquid ratio: 1 : 1) and homogenized using high‐speed mixer. The composites obtained were analyzed for their flexural strength (F.S.), elastic modulus (E.M.), Vickers hardness (H.V.), surface roughness Ra, morphology and water contact angle (WCA). The mean average was determined with standard deviation (SD) to analyze the results, and a basic comparison test was conducted. The results inferred that adding a small amount (0.5 wt%) of TiO2 and ZrO2 nanoparticles (NPs) could significantly enhance the physio‐mechanical and morphological characteristics of PMMA interim restorations. EM and surface hardness increased with increasing filler content, with 3.0 wt.% ZrO2 exhibiting the highest EM (3851.28 MPa), followed by 3.0 wt.% TiO2 (3632.34 MPa). The WCA was significantly reduced from 91.32 ± 4.21° (control) to 66.30 ± 4.23° for 3.0 wt.% ZrO2 and 69.88 ± 3.55° for 3.0 wt.% TiO2. Therefore, TiO2 and ZrO2 NPs could potentially be used as fillers to improve the performance of PMMA and similar interim restorations.
Folic Acid: Sources, Chemistry, Absorption, Metabolism, Beneficial Effects on Poultry Performance and Health
Authors: Pertiwi Herinda , Nur Mahendra Mohamad Yusril , Kamaludeen Juriah
Published: August 2022

Recently, there has been an increasing interest in the study of the effects of folic acid (FA) on poultry because it was observed that FA could overcome problems in poultry health while improving its performance. FA, or folate, is a water-soluble B vitamin essential in poultry, so FA intake must be available in the feed. Sources of FA in feed come from plants or animals, and animal sources have relatively more stable FA. The ingested FA will be absorbed in the intestinal lumen and transported into the liver through the blood vessels. Therefore, FA has a positive effect on the performance and health status of poultry. The effect of FA on poultry performance is to increase reproductive tract development, FA content in eggs, hatchability, weight gain, average initial body weight, feed intake, relative growth rate, chick body weight, breast fillet percentage, and reduce FCR and white striping score. At the same time, the effect on poultry health influences antioxidant activities, thyroid hormones, blood biochemicals, anti-inflammatory gene expressions, and immune responses. The present review deals with FA sources, chemistry, absorption, metabolism, effects on performance, and poultry health, which are based on valid basic information.
Application of Doctor-Nurse-Patient Co-Decision-Making Nursing Intervention Based on Evidence-Based Problems in the Rehabilitation of Acute Ankle Lateral Collateral Ligament Injury
Authors: Wei Nian , Du Yuehui , Chen Shiyu
Published: August 2022

Objective. The aim of this study is to study the application effects of doctor-nurse-patient co-decision-making nursing intervention based on evidence-based problems in the rehabilitation of acute ankle lateral collateral ligament injury. Methods. 150 patients with acute ankle lateral collateral ligament injury who were treated in the hospital between December 2020 and December 2021 were selected, and they were divided into the routine group and the evidence-based group by the random number table method, with 75 cases in each group. The patients in the routine group received routine nursing intervention, while the patients in the evidence-based group adopted doctor-nurse-patient co-decision-making nursing intervention based on evidence-based problems, and both groups were intervened for 1 month. The rehabilitation time (swelling subsidence time, fixation removal time, and normal walking time), ankle active range of motion (dorsiflexion and plantar flexion), ankle function (ankle Kofoed score) before and after intervention, and the total incidence rate of complications (tendon injury, ankylosis, and traumatic arthritis) within 1 month of intervention were compared between the two groups of patients. Results. The swelling subsidence time, fixed removal time, and normal walking time in the evidence-based group were significantly shorter than those in the routine group (

P
<
0.05

). After 1 month of intervention, the ranges of motion of dorsiflexion and plantar flexion and ankle Kofoed scores of the two groups were significantly higher than those before intervention, and the abovementioned indicators in the evidence-based group were significantly higher than those in the routine group (

P
<
0.05

). Within 1 month of intervention, the total incidence rate of tendon injury, ankylosis, and traumatic arthritis was significantly lower in the evidence-based group than that in the routine group (

P
<
0.05

). Conclusion. Nursing intervention of doctor-nurse-patient co-decision-making based on evidence-based problems in patients with acute ankle lateral collateral ligament injury can promote postoperative rehabilitation and restore the ankle function of patients.
Efficacy of Ambroxol Hydrochloride Combined with Amoxicillin Potassium Clavulanate Combination on Children with Bronchopneumonia and Its Impact on the Level of Inflammatory Factors
Authors: Zhu Xiaoli , Wei Zongcheng , Liu Xia
Published: August 2022

Objective. The goal of the present study was to examine the effect of ambroxol hydrochloride combined with amoxicillin potassium clavulanate combination on children with bronchopneumonia and its influence on the level of inflammatory factors. Methods. From January 2018 to June 2019, 100 children with bronchopneumonia admitted to the Pediatric Department of Nanjing Pukou District Hospital of Traditional Chinese Medicine were enrolled as the study subjects. The children were assigned either to an observation group or a control group in a ratio of 1:1 using the random alphabet method. The observation group was treated with ambroxol hydrochloride plus amoxicillin potassium clavulanate combination, and the control group was treated with amoxicillin potassium clavulanate combination. The therapeutic efficiency and serum white blood cells (WBC), C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-a (TNF-α) were compared between the two groups. Results. Regarding the effective rate of treatment, the observation group (94%) was observed to be notably higher as compared to the control group (84%). The levels of WBC, CRP, IL-6, and TNF-α were reported to be significantly lower in the two groups after treatment. The WBC, CRP, IL-6, and TNF-α after treatment in the observation group were lower than those in the control group. The time for clinical symptoms to disappear of fever, cough, asthma, and pulmonary rales was all shorter in the observation group. Conclusion. The findings of the present study demonstrate that ambroxol hydrochloride combined with amoxicillin potassium clavulanate combination might be a reliable approach for the treatment of bronchopneumonia in children. It can synergistically relieve inflammation with high safety profiles.
Design and Implementation of Ledger-Based Points Transfer System for IoT Devices in LPWAN
Authors: Qi Xin , Yu Keping , Sato Toshio , Shibata Kouichi , Konno Isao , Tokutake Takanori , Eguchi Rikiya , Maruyama Yusuke , Wen Zheng , Tamesue Kazuhiko , Katsuyama Yutaka , Sako Kazue , Sato Takuro
Published: August 2022

Distributed ledger technology is becoming popular these days because of its high confidentiality, decentralization, and nontampering. It is suitable for replacing centralized security disadvantaged point transfer systems. Low-power wide area network (LPWAN) is capable for long-range communication with low-power consumption. The iconic features like wide area coverage and long battery-powered duration make it best to combine with large-scale IoT application deployment. In both industry and academic field, such combination of LPWAN and point transfer system is highly attended. However, the ledger management system generates too much data that low-bandwidth network such as LPWAN can hardly handle; meanwhile, the processing power’s requirement for small IoT devices is challenging. Towards addressing these issues, we design a packet transmission optimizing mechanism for a ledger-based point transfer system (LPTS) in LPWAN to reduce overall data traffic and build a simulator to evaluate its performance. Moreover, we have implemented the system and evaluated in field experiment.
Evaluation of Coordinated Level between Coastal Ports and Urban Economics Based on DEA and Coordination Degree Model: Case of Jiangsu Province
Authors: Zhang Xiaoyan , Deng Yangyang , Li Chunya
Published: August 2022

The coordinated development of coastal ports and urban economy has great significance to realize the high-quality development of marine economy. Under the requirements of high-quality development, this article theoretically analyzes the interactive relationship between port economics and urban economics, then based on the data envelopment analysis (DEA), static coordination degree model, and dynamic coordination degree model, constructs the vertical evaluation index system and evaluation model to evaluate the coordinated development level of port economics and urban economics, and evaluates the actual situation of the three coastal cities of Jiangsu province as an example. The results show that the average effectiveness ranking of the coastal ports to urban economics is the same as that of urban economics to coastal ports, but the degree of impact varies from region to region, and the degree of coordination follows a phenomenon of Lianyungang >Nantong >Yancheng. Finally, the article gives strategic suggestions to promote the high-quality development of the three coastal cities in Jiangsu Province.
Study on Regenerative Processing Performance of Chlorinated Polyethylene Based on Wireless Network and Artificial Intelligence Technology
Authors: Zhang Haifeng , Zhou Lianzhu
Published: August 2022

The development of Information Technology has intruded the chemical industry. In the conventional chemical industry, humans are involved in monitoring the chemical evaporation processes. If there is any damage, then humans suffer enormously. These drawbacks are overcome in the chemical industry by implanting the sensors to the required blocks for monitoring the levels of chemical substances. An alert system can be introduced with an artificial intelligence algorithm to regenerate the process using details updated in the database. In this research, the machine-based Time-Temperature Superposition (TTS) method is implemented to monitor the chemical reactions in the chemical component manufacturing company.
Teaching Practice for Digital Media Design in the Context of Media Integration
Authors: Chen Xu , Jiang Zhifeng
Published: August 2022

In the current digital environment, various media are greatly integrated, and the traditional teaching is facing difficulties. Especially in the epidemic environment, the traditional classroom has been difficult to meet the needs of teaching. Therefore, this study aims to design a video teaching system for classroom teaching by using the digital media technology in the media fusion environment, so as to meet the needs of students’ digital learning in the new era. For dry teaching design, this study focuses on the analysis of video teaching in classroom teaching and adds subtitles for classroom video materials to facilitate students to learn. For the principle of media integration, this study uses the combination of digital media and various media to achieve the purpose of teaching design. The experimental results of this study demonstrate that the time of video segmentation is between 130 s and 170 s, and the overall segmentation accuracy is above 95% and up to 100%, indicating that the functional use of the system in this study is satisfactory. For the function of adding subtitles, the overall accuracy rate of the system is above 97%, and the highest rate is 100%, which fully shows that the system can provide good support in the learning process.
A Mobile Intelligent Mine Platform with a Hybrid Fuzzy NN and ATT-CNN Prewarning Model
Authors: Wu Yuliang , Wu Chao , Wang Jun , Zhang Xiangnan , Chen Wei
Published: August 2022

Given the existence of coal production risk, effective prewarning is important to the reliability and safety of coal mine. So, the development of a risk prewarning system has become an important safety management tool. To improve the prediction ability and the supervision level of safety production, and handle different multidimensional (temporal and spatial) information for risk prewarning, we built a new platform based on the Internet, cloud platform, mobile communication, GIS, and artificial intelligence technology, i.e., a mobile intelligent mine platform. The terminal of the platform provides real-time queries and procedures of coal mine production and risk prewarning and provides data support and technical means for daily supervision, remote networking analysis, law enforcement inspection, and emergency rescue. The prewarning model of safety risk is an essential means to realize prewarning. The complexity of production of coal mine leads to the dynamic characteristics, fuzziness, and randomness of coal mine accidents. The complex nonlinear relationship between index and risk level leads to low accuracy of the traditional back propagation (BP) neural network prewarning method. A novel model based on a compensation fuzzy neural network (NN) and an attention mechanism-convolutional neural network (ATT-CNN) are a critical part of the new design. First, to full use of the convolutional network to get a larger receptive field, one-dimensional time series is transformed into two-dimensional matrix as the input of the CNN network by mapping. The neural network is utilized to extract the advanced features of the input signal. The results are finally output through a fully connected classifier. The model fuses multisource data at the feature level, employs the temporal and spatial relationships of monitoring data, and dynamically evaluates the risk. The experiment shows that the proposed model achieves impressive performance in both quantitative and qualitative evaluations and has improved the model generalization ability. The combination of data integration, remote examinations, and approval from existing information systems enables this platform to provide dynamic reminders of approval information, various risk prewarning, and management process automation through a mobile network.
Comparison of Different Furosemide Regimens in the Treatment of Acute Heart Failure: A Meta-Analysis
Authors: Huang Youpan , Guo Feijie , Chen Daori , Lin Haiman , Huang Jian
Published: August 2022

Background. To compare the effects of different dosing schemes of furosemide on acute heart failure (AHF). Methods. Literature that compared the efficacy of continuous and intermittent administration of furosemide in AHF patients was retrieved from PubMed, Embase, the Cochrane Library, and ISI Web of Science from inception to May 2022. The primary endpoints included overall weight loss, 24-hour urine volume, length of hospital stay, 24-hour brain natriuretic peptide (BNP) level change, and all-cause mortality. The RevmMan5.4 software was used to analyze the extracted data. Results. A total of 10 studies with 775 patients, including 338 receiving continuous furosemide administration and 387 receiving intermittent furosemide administration, were included. The analysis results showed significant differences in weight loss (

MD
=
1.08

, 95% CI (0.75~1.40),

P
<
0.00001

) and 24-hour urine volume (MD =335.23, 95% CI (140.98~529.47),

P
=
0.0007

) between the 2 groups. There was no significant difference in terms of length of hospital stay (

MD
=
−
0.71

, 95% CI (-2.74~1.31),

P
=
0.49

) and all-cause mortality (

RR
=
1.59

, 95% CI (0.92~2.75),

P
=
0.10

). Conclusions. Compared with intermittent administration, continuous infusion of furosemide had a significant effect on the 24-hour urine volume and total weight loss in patients with AHF.
Application of Fuzzy Analytic Hierarchy Process in the Quality Monitoring and Evaluation of College Teachers and the Construction of Index System
Authors: Shi Xiaoyan
Published: August 2022

In view of the relevant problems existing in the faculty of colleges and universities, in order to further analyze the deficiencies existing in the quality monitoring and index system of the faculty of colleges and universities. Based on the method and theory of fuzzy analytic hierarchy process, this study evaluates the quality monitoring results of university teachers, and researches the establishment of the index system of university teachers. The results show that k of different parameters increases slowly at first and then tends to be stable with the increase of iteration time. However, different parameters show different variation relations at higher iteration time. When k is 15, it can be used for targeted analysis of model index CR1. It can be seen from the weight analysis chart of quality monitoring of college teachers that the highest proportion is work pressure, while the lowest proportion is working environment. The research shows that the work pressure has the greatest influence on the quality monitoring analysis of college teachers. The construction diagram of the index system of college teachers shows that the fuzzy analytic hierarchy process can better reflect the quality system and index system of college teachers. Relevant research results can provide theoretical support for the application of fuzzy analytic hierarchy process in the research of college teachers.
Anxiolytic Effect of Carvedilol in Chronic Unpredictable Stress Model
Authors: de Sousa Caren Nádia Soares , da Silva Medeiros Ingridy , Vasconcelos Germana Silva , de Aquino Gabriel Ângelo , Filho Francisco Maurício Sales Cysne , de Almeida Jamily Cunha , Alves Ana Paula Negreiros Nunes , Macêdo Danielle S. , Leal Luzia Kalyne Almeida Moreira , Vasconcelos Silvânia Maria Mendes
Published: August 2022

Anxiety disorders are the most prevalent psychiatric disorders being also a comorbid state of other diseases. We aimed to evaluate the anxiolytic-like effects of carvedilol (CVD), a drug used to treat high blood pressure and heart failure with potent antioxidant effects, in animals exposed to chronic unpredictable stress (CUS). To do this, female Swiss mice were exposed to different stressors for 21 days. Between days 15 and 21, the animals received oral CVD (5 or 10 mg/kg) or the antidepressant desvenlafaxine (DVS 10 mg/kg). On the 22nd day, behavioral tests were conducted to evaluate locomotor activity (open field) and anxiety-like alterations (elevated plus-maze—EPM and hole board—HB tests). After behavioral determinations, the animals were euthanized, and the adrenal gland, blood and brain areas, prefrontal cortex (PFC), and hippocampus were removed for biochemical analysis. CUS reduced the crossings while increased rearing and grooming, an effect reversed by both doses of CVD and DVS. CUS decreased the number of entries and permanence time in the open arms of the EPM, while all treatments reversed this effect. CUS reduced the number of head dips in the HB, an effect reversed by CVD. The CUS reduced weight gain, while only CVD5 reversed this effect. A reduction in the cortical layer size of the adrenal gland was observed in stressed animals, which CVD reversed. Increased myeloperoxidase activity (MPO) and interferon-γ (IFN-γ), as well as reduction of interleukin-4 (IL-4) induced by CUS, were reversed by CVD. DVS and CVD increased IL-6 in both brain areas. In the hippocampus, DVS caused an increase in IFN-γ. Our data show that CVD presents an anxiolytic effect partially associated with immune-inflammatory mechanism regulation.
The Dew Particle Interception Abilities of Typical Plants in Northeast China Plant Leaves Capture Particles in Dew
Authors: Xu Yingying , Dou Yingbo , Yi Yan , Yang Xu
Published: August 2022

The dew condensation frequency is high, and the dew amount is heavy in urban ecosystems. During the condensation process, particulate matter acts as a condensation core, playing an important role in purifying the air. At night, dew mainly condenses on plant leaf surfaces, the plant leaves settle the particles in the dew, and some of the particles are resuspended into the atmosphere in the process of dew evaporation after sunrise. This paper monitored the condensation and evaporation processes of dew on four common plants in Changchun city from June to September 2020. By analyzing the mass and size of particles on different leaves after dew condensation and evaporation, the ability of different plants to retain particles in dew was analyzed. The results showed that there was no significant difference in the TSP capture ability during dew condensation between Buxus sinica (Rehd. et Wils.) Cheng subsp. sinica var. parvifolia M. Cheng, Syringa oblata Lindl., Hemiptelea davidii (Hance) Planch., and Pinus tabuliformis Carrière, with a TSP content of 0.21 ± 0.06 μg/cm2. Coarse particulate matter is the main type of deposit in the dew condensation stage. Particulate deposition varied according to species, leaf shape, and microstructure. The proportion of TSP remaining on leaves after dew evaporation from Pinus tabuliformis Carrière, Hemiptelea davidii (Hance) Planch., Buxus sinica (Rehd. et Wils.) Cheng subsp. sinica var. parvifolia M. Cheng, and Syringa oblata Lindl. tree was 89.7 ± 3.9%, 80.6 ± 3.6%, 75.9 ± 4.5%, and 71.4 ± 3.7%, respectively. The ability of the leaves to trap fine particles was significantly higher than that for coarse particles (

P
<
0.05

) after dew evaporation. The highest amount of particle captured by Syringa oblata Lindl. individual was 15.17 g/y during dew condensation, and the amount of remaining particles after dew evaporation was 10.83 g/y. This paper provides a theoretical basis for the selection of tree species for urban greening.
QoC-Driven MEC Transfer System Framework in Wireless Networks
Authors: Yu Ping , Zhao Hongwei , Hu Ming , Yan Hui , Geng Xiaozhong , Chen Hanlin , Chu Dejin
Published: August 2022

In this paper, we propose a Heterogeneous MEC System Framework based on Transfer Learning (HMECSF-TL), which uses convolutional neural network (CNN) to process few training samples. In view of the time-varying network environment and the limited end devices resources, the HMECSF-TL framework uses transfer learning (TL) technology to optimize the CNN model and jointly optimizes the allocation of computing resources and communication resources, which is beneficial to achieve the dual goals of extending the use time of end devices and improving the speed and the accuracy of image classification. We first introduce the Quality of Content (QoC)-driven MEC transfer system architecture of cloud-edge-end. The cloud server uses the existing image dataset to train the general neural network model in advance and transfer the general model to the edge servers, and then the edge servers deploy the local models to the end devices to form the personalized models. Then, considering the time-varying situation of the network environment, in order to get the updated model faster and better, we present the process of collaborative optimization of model between the edge sever and multiple end devices, using an edge server as an example. Considering the limited resources of the end devices, we propose a joint optimization of energy and latency with the goal of minimizing offloading cost, in order to rapidly improve the speed and the accuracy of image classification with few training samples under the premise of rational resource allocation and verify the performance of the framework experimentally. Simulation results show that the proposed HMECSF-TL framework outperforms the benchmark strategy without TL in terms of reducing the model training time and improving the image classification accuracy, as well as reducing the offloading cost.
Discussion on Repolarization Reserve between Patients with Coronary Heart Disease and Normal Controls
Authors: Kang Rubing , Li Yitong , Gao Chunmei , Li Jianhui , Zhang Cheng , Wang Junli
Published: August 2022

Objective. To investigate the repolarization reserve of normal controls (NCs) and patients with coronary heart disease (CHD). Methods. From January 1st, 2010 to December 31st, 2018, 200 age- and gender-matched inpatients in the Second Hospital of Shanxi Medical University and Heji Hospital Affiliated to Changzhi Medical College were selected for treadmill exercise test (TET), including 67 patients in the myocardial ischemia group, 66 patients in the suspected myocardial ischemia group, and 67 patients in the normal control group. Coronary angiography (CAG) was performed on 49 of 133 patients in the myocardial ischemia group and the suspected myocardial ischemia group, and 9 positives and 40 negatives were identified. The heart rate (HR) and QT interval of TET examiners before exercise, during exercise (90 beats/min, 120 beats/min, maximum HR), and in the recovery period (1 minute and 3 minutes after exercise) were reviewed, and QTc values were calculated after being corrected by BaZett’s. Results. The mean QTc values in NCs were all below 452 ms, before exercise, during exercise (90 beats/min, 120 beats/min and maximum HR), and during the recovery period (1 minute and 3 minutes after exercise). The comparison results of the RR interval between the two groups revealed

P
>
0.05

, indicating no statistical significance. Significant differences were present when comparing the QT intervals when the HRs were 90 beats/minute and 120 beats/minute during exercise (

P
<
0.05

). And comparing the QTc values, it was found that the QTc values during different exercise periods were statistically different between groups (

P
<
0.05

). Conclusions. NCs have good repolarization reserve. CAG can confirm true myocardial ischemia patients (i.e., patients with CHD) among myocardial ischemia and suspected myocardial ischemia patients screened by TET. Patients with positive CAG have poor repolarization reserve as QT interval represents ventricular repolarization adaptability.
A Random Matrix Model of Regional Economic Disparity Based on Spatial Panel Data Analysis
Authors: Xun Jingjing , Li Wei , Xu Yunbao
Published: August 2022

This paper adopts a random matrix approach to model spatial panel data and applies the model to the analysis of regional economic disparity. A panel data clustering method based on variable influence and response structural relationship clustering is proposed to define the structural relationship distance, cluster the panel data from the structural relationship so that the data within the class have the same structural relationship, and give the specific algorithm for determining the classification number in the clustering process based on the structural relationship. The methods of clustering panel data with the presence of linear, nonlinear, and functional relationships are considered separately to aggregate and classify the panel data in terms of the structural relationships of parameters. Using the classification modeling approach proposed in this paper, the empirical analysis is better than the estimation effect in the case of no classification; the empirical test data also show that there is a strong cross-sectional correlation between the economic and financial development data of different regions, and the estimation effect of the model with the correlation treatment is better than the estimation effect of the model without the correlation treatment. The study finds that there is a significant imbalance between financial and economic development, the phenomenon of financial exclusion is serious, and the dynamic influence relationship between financial and economic development in relatively less developed regions is different from that between financial development and economic development in relatively developed regions. In addition to the influencing factors, we should improve the efficiency of investment utilization, give better play to the geographical advantages, keep the industrial structure rationalized, develop the special economy according to the local conditions, and give full play to the spatial effect as well as improve the economic development.
Assessment of the Contribution of Information Adversarial Technology to Educational Development in the Context of Neural Networks
Authors: Shao YiLin , Lu HanNing , Liu QingYuan , Li GaoShuo
Published: August 2022

Since the 3rd technological revolution, electronic information has developed at an increasingly rapid pace and has been widely used in various aspects of people’s lives and social production. With the advent of the information society, information security is particularly important and is related to the security of various industries and fields, such as transportation, national defense, and economy. If there is a problem in information, it means that there is a problem in information countermeasures, which leads to the emergence of information countermeasures technology. At present, with the accelerated progress of socialization, the requirements for information technology talents have been raised accordingly, so schools are required to pay attention to the education and training of talents in this area to meet the needs of society and speed up the development of society. Moreover, more and more scholars are recognizing the significance of data analysis technology for education development, and some scholars have constructed learning prediction models from different educational environments and perspectives. However, some of the models have their own limitations and thus can hinder the parameter setting. Therefore, educational researchers need to combine the characteristics of their own educational environment to build a widely adaptable predictive model to provide a good foundation for the development of education. Also, on that basis, information confrontation technology should be applied to explore diverse teaching courses, improve the traditional teaching philosophy, improve the management and evaluation mechanism, provide students with diverse learning styles, emphasize the practical nature of learning, and continuously improve students’ independent problem-solving ability.
Impact of Highly Saturated versus Unsaturated Fat Intake on Carbohydrate Metabolism and Vascular Reactivity in Rat
Authors: Djohan Youzan Ferdinand , Raynaud Fabrice , Lambert Karen , Cristol Jean-Paul , Coudray Charles , Feillet-Coudray Christine , Virsolvy Anne , Badia Eric
Published: August 2022

Palm olein (PO) and lard are considered harmful to health because of their highly saturated fatty acid content. On the contrary, olive oil (OO) with its high level of polyunsaturated fatty acids is considered healthier. This study aims to evaluate the effects of high consumption of these oils on carbohydrate metabolism and vascular function. Male Wistar rats were fed ad libitum for 12 weeks with different high fat diets (HFD) containing 30% of each oil. Systemic glycemia, insulinemia, and lipidemia were assessed by routine methods or by ELISA. GLUT4 muscular expression and hepatic and muscular Akt phosphorylation were analyzed by western blot. Vascular function was evaluated, ex vivo, on aortic rings and on the variations of isometric tensions. The results show that fasting blood glucose was increased with PO and OO diets and decreased with lard. Compared to control diet, this increase was significant only with PO diet. The area under the curve of IPGTT was increased in all HFD groups. Compared to control diet, this increase was significant only with PO. In contrast, stimulation of the pathway with insulin showed a significant decrease in Akt phosphorylation in all HFD compared to control diet. KCl and phenylephrine induced strong, dose-dependent vasoconstriction of rat aortas in all groups, but KCl EC50 values were increased with lard and OO diets. The inhibitory effect of tempol was absent in PO and lard and attenuated in OO. Vascular insulin sensitivity was decreased in all HFD groups. This decreased sensitivity of insulin was more important with PO and lard when compared to OO diet. In conclusion, the results of this study clearly show that high consumption of palm olein, olive oil, and lard can compromise glucose tolerance and thus insulin sensitivity. Furthermore, palm olein and lard have a more deleterious effect than olive oil on the contractile function of the aorta. Excessive consumption of saturated or unsaturated fatty acids is harmful to health, regardless of their vegetable or animal origin.
Trust-Based Certificateless Privacy-Preserving Authentication in Internet of Vehicles
Authors: Yu Chang , Lu Kezhong
Published: August 2022

Owing to the security requirements of Internet of vehicles (IOV), it is necessary to design a secure privacy-preserving scheme for communication. Traditional privacy-preserving schemes have two deficiencies. One is the high cost of computation and communication. Another is the inability to prevent the spread of malicious or modified messages. Motivated by those facts, we proposed a trust-based authentication scheme for certificateless privacy-preserving of IOV, based on the advantages of the short key, fast speed, and high security performance of elliptic curve cryptography (ECC). We proposed a method to replace the revocation list by authenticating trust to prevent broadcasting fake and altered massages. Our scheme can encrypt the message sent by the node while adopting a certificateless authentication method to complete the anonymous authentication function, which protects the privacy of the node information and effectively reduces the system storage load. In addition, aggregate signatures can effectively reduce computational and communication overhead. It is proven theoretically that the proposed scheme can satisfy correctness, anonymity, confidentiality of messages, and unforgeability of signatures. Therefore, this scheme is more suitable for the deployment and application of physical IOV.
Mortality Patterns of Synchronous Uterine and Ovarian Cancers: A SEER Registry Analysis
Authors: Dood Robert Lee , Pappas Lisa M. , Collin Lindsay J. , Vranes Chelsey , Trabert Britton , Doherty Jennifer Anne
Published: August 2022

Background:

The degree to which uterine cancer metastatic to the ovary is misdiagnosed as synchronous stage I uterine and ovarian cancers is unclear. We sought to determine whether patients with synchronous cancers had mortality patterns similar to either stage IIIA uterine, stage I uterine, or stage I ovarian cancers alone.

Methods:

The Surveillance, Epidemiology, and End Results database was used to compare mortality of patients with synchronous stage I uterine and stage I ovarian cancers versus those with stage IIIA uterine, stage I uterine, or stage I ovarian cancers alone. We calculated age-adjusted mortality hazard ratios (HR) and 95% confidence intervals (CI) accounting for calendar year and grade, adjuvant treatment, grade 1 endometrioid cancers, grade 3 endometrioid cancers, and stage IA cancers.

Results:

Among the 9,321 patients, we observed lower age-adjusted mortality in patients with stage I synchronous cancers (n = 937) compared to those with stage IIIA uterine (n = 531; HR, 0.45 95% CI, 0.35–0.58), stage I uterine (n = 6,919; HR, 0.74; 95% CI, 0.60–0.91), and stage I ovarian cancers (n = 934; HR, 0.52; 95% CI, 0.41–0.67). Results were similar after taking into account diagnosis year and grade, and limiting to those receiving adjuvant therapy, grade 1 or grade 3 endometrioid cancers, or stage IA cancers.

Conclusions:

We observed lower mortality for synchronous stage I uterine and ovarian cancers, which was not explained by younger age, earlier stage, lower grade, histology type, or adjuvant therapy.

Impact:

The possible misdiagnosis associated with clinicopathologic of synchronous uterine and ovarian cancers does not appear to worsen survival on a population level.