bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on the interaction of anions with A2B cobalt corroles in non-aqueous medium
Authors: Jyoti  , Warkar Sudhir G. , Kumar Anil
Published: September 2022

A series of five cobalt corrole complexes Co[(p-NO2Ph)2RCor](py)2 where R is functionalized with different aromatic aldehydes at meso positions, was examined in acetonitrile solvent. Three of the five complexes changed color to green in 10[Formula: see text] M acetonitrile solution. Their potential to sense anions was investigated using the colorimetric and spectroscopic approach in 14 different tetrabutyl ammonium salts of F[Formula: see text], CN[Formula: see text], CH3COO[Formula: see text], NO[Formula: see text], AsO[Formula: see text], AsO[Formula: see text], Cl[Formula: see text], Br[Formula: see text], I[Formula: see text], ClO[Formula: see text], H2PO[Formula: see text], S[Formula: see text], HS[Formula: see text]and PF[Formula: see text]. Co-1, Co-2 and Co-4 shows selectivity towards F[Formula: see text], CN[Formula: see text]and CH3COO[Formula: see text] by their changing of color from green or reddish-brown to dark reddish-brown. The complexes exclusively bind these three anions at their axial positions. The binding constant determination gives the number of binding species (n) >1 at less than one equivalent concentration of anions in the acetonitrile solution of the complex. A band appeared at around 735 nm, on the other hand, suggests that a bis(CN)-derivative of corrole complex could form under >1 equivalent anionic conditions. The limit of detection for the Co-4 was superior than Co-1 and Co-2, which were 0.0068 [Formula: see text]M for CN[Formula: see text], 0.0082 [Formula: see text]M for F[Formula: see text]and 0.0177 [Formula: see text]M for CH3COO[Formula: see text] ion. Although the complexes detect all three anions at less than 1 equivalent of the anion addition, the Co-1 and Co-2 are more selective towards CH3COO[Formula: see text]ion, whereas Co-4 selectively detects CN[Formula: see text]anion at larger equivalents of these anions.
A setvalued coupled coincidence point theorem with data dependence and weak stability results
Authors: Choudhury Binayak S. , Metiya N. , Kundu S. , Khatua D.
Published: September 2022

In this paper, we utilize an inequality involving a coupled multivalued mapping and a singlevalued mapping to obtain a coupled coincidence point theorem. We discuss special conditions under which coupled common fixed point theorems are obtained. The result combines together several ideas prevailing in fixed point theory related studies. There are several corollaries and an illustrative example. In the second part of the paper, we establish a multivalued coupled coincidence point result by putting together several ideas. A contraction through an implicit relation for the coupled mapping is assumed in the main theorem for quadruples of points determined by certain functions. The coupled mapping is also required to satisfy certain dominated conditions which are defined in this paper. In Secs. 3 and 4, we study the data dependence and stability of coupled coincidence point sets, respectively. For describing set distance we use the Hausdorff metric. The work is in the domain of setvalued analysis.
Generation of Voice Signal Tone Sandhi and Melody Based on Convolutional Neural Network
Authors: Jiang Wei , Li Mengqi , Shabaz Mohammad , Sharma Ashutosh , Haq Mohd Anul
Published: September 2022

There is a need to prevent the use of modulated voice signals to conduct criminal activities. Voice signal change detection based on convolutional neural networks is proposed. We use three commonly used voice processing software (Audacity, CoolEdit, and RTISI) to change tones in voice libraries. The research further raises each voice by five semitones and are recorded at different levels (+4, +5, +6, +7, and +8, respectively). Simultaneously, every voice is lowered by five halftones, represented as –4, –5, –6, –7, and –8, respectively. The convolution neural network corresponding to network b-3 is determined as the final classifier in this article through experiments. The average accuracy A1 of its three categories has reached more than 97%, the detection accuracy A2 of electronic tone sandhi speech has reached more than 97%, and the false alarm rate of the original speech is less than 1.9%. The outcomes obtained shows that the detection algorithm in this article is effective, and it has good generalization ability.
From Zero to One Hundred
Authors: Bush Matthew , Mashatan Atefeh
Published: September 2022

Changing network landscapes and rising security threats have imparted a sense of urgency for new approaches to security. Zero trust has been proposed as a solution to these problems, but some regard it as a marketing tool to sell existing best practice while others praise it as a new cybersecurity standard. This article discusses the history and development of zero trust and why the changing threat landscape has led to a new discourse in cybersecurity. Drivers, barriers, and business implications of zero trust provide a backdrop for a brief overview of key logical components of a zero trust architecture and implementation challenges.
Delay-on-Squash: Stopping Microarchitectural Replay Attacks in Their Tracks
Authors: Sakalis Christos , Kaxiras Stefanos , Själander Magnus
Published: September 2022

MicroScope and other similar microarchitectural replay attacks take advantage of the characteristics of speculative execution to trap the execution of the victim application in a loop, enabling the attacker to amplify a side-channel attack by executing it indefinitely. Due to the nature of the replay, it can be used to effectively attack software that are shielded against replay, even under conditions where a side-channel attack would not be possible (e.g., in secure enclaves). At the same time, unlike speculative side-channel attacks, microarchitectural replay attacks can be used to amplify the correct path of execution, rendering many existing speculative side-channel defenses ineffective.

In this work, we generalize microarchitectural replay attacks beyond MicroScope and present an efficient defense against them. We make the observation that such attacks rely on repeated squashes of so-called “replay handles” and that the instructions causing the side-channel must reside in the same reorder buffer window as the handles. We propose Delay-on-Squash, a hardware-only technique for tracking squashed instructions and preventing them from being replayed by speculative replay handles. Our evaluation shows that it is possible to achieve full security against microarchitectural replay attacks with very modest hardware requirements while still maintaining 97% of the insecure baseline performance.
Remark on Algorithm 1010: Boosting Efficiency in Solving Quartic Equations with No Compromise in Accuracy
Authors: De Michele Cristiano
Published: September 2022

We present a correction and an improvement to Algorithm 1010 [A. Orellana and C. De Michele 2020].
A Multi-Objective Optimization Framework for Multi-Stakeholder Fairness-Aware Recommendation
Authors: Wu Haolun , Ma Chen , Mitra Bhaskar , Diaz Fernando , Liu Xue
Published: September 2022

Nowadays, most online services are hosted on multi-stakeholder marketplaces, where consumers and producers may have different objectives. Conventional recommendation systems, however, mainly focus on maximizing consumers’ satisfaction by recommending the most relevant items to each individual. This may result in unfair exposure of items, thus jeopardizing producer benefits. Additionally, they do not care whether consumers from diverse demographic groups are equally satisfied. To address these limitations, we propose a multi-objective optimization framework for fairness-aware recommendation,Multi-FR, that adaptively balances accuracy and fairness for various stakeholders with Pareto optimality guarantee. We first propose four fairness constraints on consumers and producers. In order to train the whole framework in an end-to-end way, we utilize the smooth rank and stochastic ranking policy to make these fairness criteria differentiable and friendly to back-propagation. Then, we adopt the multiple gradient descent algorithm to generate a Pareto set of solutions, from which the most appropriate one is selected by the Least Misery Strategy. The experimental results demonstrate thatMulti-FRlargely improves recommendation fairness on multiple stakeholders over the state-of-the-art approaches while maintaining almost the same recommendation accuracy. The training efficiency study confirms our model’s ability to simultaneously optimize different fairness constraints for many stakeholders efficiently.
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation
Authors: Liu Zhongzhou , Fang Yuan , Wu Min
Published: September 2022

Recommendation systems are popular in many domains. Researchers usually focus on the effectiveness of recommendation (e.g., precision) but neglect the popularity bias that may affect the fairness of the recommendation, which is also an important consideration that could influence the benefits of users and item providers. A few studies have been proposed to deal with the popularity bias, but they often face two limitations. Firstly, most studies only consider fairness for one side—either users or items, without achieving fairness jointly for both. Secondly, existing methods are not sufficiently tailored to each individual user or item to cope with the varying extent and nature of popularity bias. To alleviate these limitations, in this paper, we propose
FAiR
, a
f
airness-centric model that
a
dapt
i
vely mitigates the popularity bias in both users and items for
r
ecommendation. Concretely, we design explicit fairness discriminators to mitigate the popularity bias for each user and item locally, and an implicit discriminator to preserve fairness globally. Moreover, we dynamically adapt the model to different input users and items to handle the differences in their popularity bias. Finally, we conduct extensive experiments to demonstrate that our model significantly outperforms state-of-the-art baselines in fairness metrics, while remaining competitive in effectiveness.
Inhibition of the AT1R agonistic autoantibody in a rat model of preeclampsia improves fetal growth in late gestation
Authors: Ashraf Usman M. , Hall Dalton L. , Campbell Nathan , Waller Jamarius P. , Rawls Adam Z. , Solise Dylan , Cockrell Kathy , Bidwell Gene L. , Romero Damian G. , Ojeda Norma B. , LaMarca Babbette , Alexander Barbara T.
Published: September 2022

The seven amino acid inhibitory peptide to the AT1-AA ('n7AAc') has limited transfer to the fetus at gestational day 20, improves uterine blood flow and fetal growth in the reduced uterine perfusion pressure model of preeclampsia (PE), and does not impair fetal survival during gestation in sham-operated or placental ischemic rats. Collectively, these findings suggest that maternal administration of 'n7AAc' as an effective strategy for the treatment of PE is associated with improved outcomes in the fetus.
Afferent nerve activity in a mouse model increases with faster bladder filling rates in vitro, but voiding behavior remains unaltered in vivo
Authors: Heppner Thomas J. , Hennig Grant W. , Nelson Mark T. , Herrera Gerald M.
Published: September 2022

Storage and voiding functions in urinary bladder are well-known, yet fundamental physiological events coordinating these behaviors remain elusive. We sought to understand how voiding function is influenced by the rate at which the bladder fills. We hypothesized that faster filling rates would increase afferent sensory activity and increase micturition rate. In vivo, this would mean animals experiencing faster bladder filling would void more frequently with smaller void volumes. To test this hypothesis, we measured afferent nerve activity during different filling rates using an ex vivo mouse bladder preparation and assessed voiding frequency in normally behaving mice noninvasively (UroVoid). Bladder afferent nerve activity depended on the filling rate, with faster filling increasing afferent nerve activity at a given volume. Voiding behavior in vivo was measured in UroVoid cages. Male and female mice were given access to tap water or, to induce faster bladder filling rates, water containing 5% sucrose. Fluid intake increased dramatically in mice consuming 5% sucrose. As expected, micturition frequency was elevated in the sucrose group. However, even with the greatly increased rate of urine production, void volumes were unchanged in both genders. Although faster filling rates generated higher afferent nerve rates ex vivo, this did not translate into more frequent, smaller-volume voids in vivo. This suggests afferent nerve activity is only one factor contributing to the switch from bladder filling to micturition. Together with afferent nerve activity, higher centers in the central nervous system and the state of arousal are likely critical to coordinating the micturition reflex.
miR155 deficiency reduces breast tumor burden in the MMTV-PyMT mouse model
Authors: McDonald Sierra J. , Cranford Taryn L. , VanderVeen Brandon N. , Cardaci Thomas D. , Velázquez Kandy T. , Enos Reilly T. , Chatzistamou Ioulia , Fan Daping , Murphy E. Angela
Published: September 2022

To examine the effects of miR155 in a transgenic model of breast cancer, we developed an MMTV-PyMT mouse-deficient in miR155. We demonstrate that global loss of miR155 resulted in blunted tumor growth through modulating the tumor microenvironment. Specifically, miR155-deficient mice had smaller and less invasive tumors, an increase in apoptosis and a decrease in proliferation, a reduction in tumor-associated macrophages, and the expression of genes associated with protumoral processes.
The Content Variation of Four Active Components in Amygdalus persica L. during Different Harvesting Periods
Authors: Zhang Juanjuan , Chen Xudong , Yin Zhenhua , Guo Qinfeng , Yang Baocheng , Feng Miaoqing , Li Xiao , Chen Lin , Zhang Wei , Kang Wenyi
Published: September 2022

In this study, a quantitative method for the content determination of rutin, 5-O-coumaroylquinic acid methyl ester, chlorogenic acid butyl ester, and kaempferol in Amygdalus persica L. flowers during different harvest periods was established to investigate its various rules and determine the optimal harvesting period. The determination was performed on the XTERRA MS C18 column with a mobile phase consisting of 0.1% formic acid aqueous solution and acetonitrile (gradient elution) at a flow rate of 1.0 mL/min. In combination with other validation data, including precision, stability, and recovery tests, this method demonstrated good reliability and sensitivity. The results showed that the contents of rutin, 5-O-coumaroylquinic acid methyl ester, chlorogenic acid butyl ester, and kaempferol in A. persica flowers during different harvest periods were quite different, and the content in samples at the early blooming stage was the highest. The method is simple, accurate, and rapid for determining the contents of four active ingredients in A. persica flowers.
Define Electronic Enterprise Financial Management Information Decision-Making Process Based on IoT and the ERP Model
Authors: Su Huiling
Published: September 2022

In order to realize the financial quality management of listed energy companies and realize the economical development of enterprises, the author proposes a refined evaluation method for the financial management quality of listed energy companies based on the Internet of Things and the ERP model. By introducing the concept of IoT, ERP and the financial characteristics of listed energy companies select an energy power supply enterprise as a pilot unit, combine the development strategy and the current challenges, and conducting a comprehensive analysis of the process and effect of its implementation of the financial management system, this reflects the superiority of the refined evaluation method of financial management quality of listed energy companies based on the Internet of Things and the ERP model. Pilot experiments show that, comparing before the pilot program, the financial operation status of listed companies has increased by 13.59% in total assets, positive growth achieved. The refined evaluation method of the financial management quality of listed energy companies based on the Internet of Things and the ERP model can realize the economic development of enterprises.
[Retracted] Migration and Deposition Law of Pollutants in Urban Sewage Confluence Pipe Network from the Perspective of Ecology
Authors: Hua Shan , Pei Xingwang , Li Wenlong , Cheng Hanlie , Zhao Hailian , Sturdivant David
Published: September 2022

Aiming at the problem of pollutant migration and deposition in urban sewage confluence pipe, an experimental simulation system of sewage confluence pipe was established. The confluence conditions of three flow patterns (velocity ratio Vaccess/Vtrunk = 0.1/0.2, Vaccess/Vtrunk = 0.1/0.3, and Vaccess/Vtrunk = 0.2/0.3) were simulated. The changes of sediment thickness, carbon pollutants, nitrogen pollutants, and phosphorus pollutants in different confluence areas were analyzed, and the migration and deposition laws of various pollutants in urban sewage confluence pipe network under different flow patterns were revealed. The results show that when the flow velocity of trunk and branch roads changes, the deposition of various pollutants and the carrying capacity of water flow in the pipeline change, resulting in the change of sediment layer thickness and pollutant content. With the increase of trunk velocity, the sediment thickness in the area before and after confluence decreases, while the increase of branch velocity only reduces the sediment thickness in the area at the back of confluence. Under any flow pattern, the sediment thickness in the retention area (G3 and G4) shows an increasing trend, which is the key area of pollution removal. Under the three flow patterns, the content of carbon pollutants reaches the peak at the TCOD and SCOD values of G4 monitoring point. Increasing the trunk velocity can effectively reduce the content of carbon pollutants. The content of nitrogen pollutants in each flow pattern also reaches the maximum at G4 point, which are 213.6 mg/g, 205.2 mg/g, and 212.8 mg/g, respectively. Increasing the trunk velocity can effectively reduce the nitrogen content at points G1‐G4, while increasing the flow velocity of the branch road can reduce the nitrogen content at points G5‐G7. The distribution of phosphorus pollutants is complex, and the flow pattern needs to be adjusted according to different monitoring points.
Inconel 718 Turning Process Parameters Optimization with MQL Nanofluid Based on CuO Nanoparticles
Authors: Mane Pravin A. , Kallol Anupama N. , Doiphode Rajendra L. , Manjunath G. A. , Saleh Bahaa , Abbas Mohamed , Saleel C. Ahamed , Alarifi Ibrahim M.
Published: September 2022

This study examined the effects of a minimum quantity lubrication (MQL) and a Cupric oxide‐ (CuO‐) based nanofluid on Inconel 718 machinability. Additionally, by using an MQL CuO‐based nanofluid during the turning process, Inconel 718’s tribological characteristics are optimised. The experimentation was done using the minimum quantity lubrication (MQL) method. With the aid of magnetic stirring and an ultrasonic bath process, CuO nanoparticles were dispersed in distilled water, sunflower oil, and soyabean oil to create nanofluid. Soyabean oil contains uniformly distributed CuO nanoparticles. All the experimental trials are designed based on the L18 Taguchi‐based orthogonal arrays and performed on CNC turning under MQL and nanofluid environment. There are four input parameters that were selected at mixed level, namely, cutting speed, feed rate, weight % of CuO in the nanofluid, and flow rate to analyze surface roughness and tool wear. In addition to that, the response surface method was used to identify the optimum condition for better surface roughness and tool wear. Surface roughness and tool wear were measured using the surface roughness tester and toolmaker’s microscope, respectively. Experimental results observed that cutting speed and weight % highly affect surface roughness whereas cutting speed and flow rate affect tool wear. The predicted optimal values for lower surface roughness are 160 ml/hr flow rate, 92.99 m/min cutting speed, 3 weight % of CuO, and 0.1 mm/min feed rate and for low tool wear 80 ml/hr flow rate, 92.99 m/min cutting speed, 3 weight % of CuO, and 0.1 mm/min feed rate.
Weather Forecasting Method from Sensor Transmitted Data for Smart Cities Using IoT
Authors: Bolla Sreenivasulu , Anandan R. , Thanappan Subash
Published: September 2022

India experiences severe weather events around the year. Severe thunderstorms occur during the premonsoon season (March-May), cyclonic storms occur over the Bay of Bengal/Arabian Sea during the premonsoon and postmonsoon seasons (October-December), and heavy rainfall occurs during the monsoon season (June-September). It causes a lot of damage to property and the lives of humans. Smart urban areas aim to improve residents’ personal satisfaction by utilizing data about urban scale procedures separated from heterogeneous information sources gathered on city-wide arrangements using sensors. The Internet of Things (IoT) is an empowering concept for forecasting weather situations on an urban scale. A multisource detecting framework influences IoT innovation to accomplish city-scale detection of climatic changes and forecasts them to citizens in a smart city. The existing models gather the data in an unstructured process that need to be structured. This is a complex task that needs to be reduced. The proposed model gathers data from various regions in a city and uses it to identify the weather regions. A novel approach is introduced to detect this climate information gathered by utilizing various sensors arranged in a city. The information gathered from the sensors is thoroughly examined to see if there is any inconsistency in weather reports in any of its key hubs, and cautions are activated to the city for prompt actions. In this proposed work, an efficient method for weather casting using an IoT mechanism is introduced, and the results state that the proposed method is effective in terms of accuracy and speed when contrasted with the traditional methodologies.
An Analytical Model of College Students’ Mental Health Education Based on the Clustering Algorithm
Authors: Lei Jing
Published: September 2022

This paper proposes an improved k-means clustering algorithm to analyze the mental health education of college students. It offers an improved k-means clustering algorithm with optimized centroid selection to address the problems of randomly selected class cluster centroids that lead to inconsistent algorithm results and easily fall into local optimal solutions of the traditional k-means clustering algorithm. The algorithm determines the neighborhood parameter based on the Euclidean distance between the data object and its nearest neighbor in the data set. It counts the object density based on the neighborhood parameter Eps. In the initial class cluster centroid selection phase, the algorithm randomly selects the first-class cluster centroid, and subsequent class cluster centroids are chosen based on the data object density information and the distance information between the data object and the existing class cluster centroids. The proposed improved k-means clustering algorithm and clustering validity metrics are tested using several simulated and real datasets. In this paper, the characteristics and application areas of the improved k-means clustering algorithm are sorted out, the self-determination theory related to the enhanced k-means clustering algorithm is investigated, and the behavior of the improved k-means clustering algorithm in the enhanced k-means clustering algorithm system and the octagonal behavior analysis method is also sorted out through the improved k-means clustering algorithm mental health management cases. The path of intervention in mental health education is designed through the improved k-means clustering algorithm. The intervention points are explained, including motivation discovery, mechanism setting, and component matching of the enhanced k-means clustering algorithm.
The Significance of Implementing Bilevel Positive Airway Pressure under Cluster Nursing in Improving the Survival Possibility of Patients with Severe Pulmonary Infection Complicated by Respiratory Failure
Authors: Fang Xiao , Yang Haiyan
Published: September 2022

Objective. To explore the significance of bilevel positive airway pressure (BIPAP) under cluster nursing in improving the survival probability of patients with severe pulmonary infection (SPI) complicated by respiratory failure (RF). Methods. This research included 153 SPI patients complicated by RF (

SPI
+
RF

) admitted between January 2020 and March 2022, including 55 cases in group A who were treated with BIPAP under cluster care during hospitalization, 47 cases in group B receiving invasive continuous mechanical ventilation during hospitalization, and 51 cases in group C treated with BIPAP under routine care during hospitalization. The three cohorts were compared regarding pre- and posttreatment serum inflammatory factors (IFs), blood gas (BG) parameters, heart rate (HR), and respiratory rate (RR). Besides, the cumulative time of ventilator use, successful ventilator weaning rate, mortality, and incidence of adverse events were counted. Finally, patients were scored for their psychological state using the Hamilton Anxiety/Depression Scale (HAMA/HAMD). Results. The posttreatment TNF-α, IL-6, PCT, WBC, and PaCO2 reduced statistically in all the three groups, with the lowest levels found in group A and the highest in group B (

P
<
0.05

); while PaO2 and SpO2 increased, with the highest values found in group A and the lowest in group B (

P
<
0.05

). Among the three groups, group A had the shortest duration of ventilator use, the highest successful weaning rate, and the lowest incidence of adverse events (

P
<
0.05

). Besides, HAMA and HAMD scores were the lowest in group A among the three groups, while those in group B were higher compared with group C (

P
<
0.05

). Conclusion. The implementation of BIPAP under cluster nursing can effectively reduce inflammatory responses of

SPI
+
RF

patients, improve their vital signs, and enhance their psychological state, which has extremely high clinical application value.
The “Booster” of Corporate Eco‐Innovation: Government Pressure Perceived by Chinese Private Firms
Authors: Li Changbo
Published: September 2022

This study explores the relationship between perceived government pressure for environmental regulation and corporate eco‐innovation. Based on the questionnaire data of Chinese private firms in 2016, this study explores the role of government pressure perceived by private firms in corporate environmental innovation, and the moderating effects of foreign ownership and entrepreneurs’ political status. The results show that there is a positive relationship between perceived government environmental regulatory pressure and corporate eco‐innovation, and this relationship can be strengthened by foreign ownership and entrepreneurs’ political status. These findings provide a new strategic motivation for firms to undertake eco‐innovation, i.e., the environmental regulatory pressure released by the government can urge firms to undertake strategies as an external “booster.”
Efficacy of Fuyuan Xingshen Decoction Combined with Butylphthalide Sodium Chloride Injection in the Treatment of Acute Cerebral Infarction and Its Effect on Hemodynamics
Authors: Ji Jiangang , Yu Kai , Zhang Xinyu , Liu Wenting
Published: September 2022

Objective. This study aims to determine the curative effect of Fuyuan Xingshen Decoction combined with butylphthalide sodium chloride injection in acute cerebral infarction (ACI) treatment and its effect on hemodynamics. Methods. In our hospital, a total of 84 ACI patients from May 2020 to February 2022 were randomly divided into two groups: observation and control (n = 42 each). Fuyuan Xingshen Decoction in combination with butylphthalide sodium chloride injection was provided to the observation group, while the control group received butylphthalide sodium chloride injection alone. Both groups’ clinical efficacy was observed. Before and after treatment, the neurological function of the two groups was evaluated using the National Institutes of Health Stroke Scale (NIHSS), while the daily living ability of both groups was determined using the Barthel index rating scale. Both groups were investigated for their cognitive function, before and after treatment, by using the Mini-Cog scale and Montreal Cognitive Assessment (MoCA) scale. The pulsatility index (PI), peak velocity (Vp), and mean velocity (Vm) of intracranial arteries were measured by transcranial Doppler ultrasonography before and after treatment. The levels of ubiquitin carboxy-terminal hydrolase-1 (UCH-L1), Fibulin-5, and visinin-like protein-1 (VILIP-1) in serum and the expression levels of miR-34c, miR-25, and miR-182 in peripheral blood of the two groups were compared. Both groups were observed for the incidence of adverse reactions. Results. Compared with the control (71.43%), the observation group exhibited a significantly higher effective rate of around 90.48%. In the observation group, the improvement in NIHSS, Barthel index, Mini-cog, and MoCA scores; hemodynamic indexes including Vp, PI, and Vm; serum UCH-L1, Fibulin-5, and VILIP-1 levels; and the miR-34c, miR-25, and miR-182 expression levels in peripheral blood was better than the control group, with significant difference (all

P
<
0.05

). The incidence of adverse reactions between the groups demonstrated no significant differences (

P
>
0.05

). Conclusions. Fuyuan Xingshen Decoction combined with butylphthalide sodium chloride injection can effectively improve patients’ daily living ability, neurological function, cognitive function, and cerebral hemodynamics in the treatment of ACI, with good effect and safety.
The Aeroplane and Undercarriage Detection Based on Attention Mechanism and Multi-Scale Features Processing
Authors: Gao Ruizhen , Zhang Shuai , Wang Haoqian , Zhang Jingjun , Li Hui , Zhang Zhongqi
Published: September 2022

Undercarriage device is one of the essential parts of an aeroplane, and accurate detection of whether the aeroplane undercarriage is operating normally can effectively avoid aeroplane accidents. To address the problems of low automation and low accuracy of small target detection in existing aeroplane undercarriage detection methods, an improved algorithm for aeroplane undercarriage detection YOLO V4 is proposed. Firstly, the convolutional network structure of Inception-ResNet is integrated into the CSPDarkNet53 framework to improve the algorithm’s ability to extract semantic information of target features; then an attention mechanism is added to the path aggregation network algorithm structure to improve the importance and relevance of different features after conceptual operations. In addition, aeroplane and undercarriage datasets were constructed, and finally, the generated partitioned test sets were tested to evaluate the test performance of Faster R-CNN, YOLO V3, and YOLO V4 target detection algorithms. The experimental results show that the improved algorithm has significantly improved the recall rate and the mean accuracy of detection for small targets in our dataset compared with the YOLO V4 algorithm. The reasonableness and advancedness of the improved algorithm in this paper are effectively verified.
The Study of Cross-Border Trade with Third-Party Payment Institutions in China
Authors: Zhu Yina
Published: September 2022

The cross-border Renminbi (RMB) business volume of third-party payment institutions makes up a small share of China’s total cross-border business, but there is still an absolute amount of trade that cannot be disregarded. The third-party payment institutions are subject to policy restrictions in the process of seeking development and business promotion and hope to obtain policy support in the business, transaction amount limit, identification, and other aspects. Recently, China has made a strict policy for third-party payment institutions and warned against issuing any new licenses concerning payment. On the other hand, 39 payment institutions’ licenses have been canceled for various reasons. Under the premise that strict supervision becomes normal, all payment institutions should be more cautious to develop businesses legally.
Study on Mechanical Properties and Acoustic Emission Characteristics of Sandstone under Freezing and Thawing
Authors: Wang Ziyi , Liu Ping , Luo Chang , Jia Yichao , Chen Zhen
Published: September 2022

The cyclic freezing-thawing action in cold regions leads to the deterioration of rock damage, resulting in local damage and further threatening the safety of engineering. In order to study the degradation characteristics of green sandstone and yellow sandstone under freeze-thaw cycles from macroscopic and microscopic aspects, the sandstone of a mining area in Inner Mongolia was used as experimental material. The freeze-thaw cycles were divided into 20 times, 30 times, and 40 times. NMR images and mechanical test results of two different rock samples were analyzed by binarization, NMR, and mechanical test. The test results show that, except that the mass change is less than that of yellow sandstone, the physical index degradation degree of green sandstone is higher than that of yellow sandstone, and the frost resistance is less than that of yellow sandstone. The change of acoustic emission event rate of green sandstone is mainly in the elastic deformation stage and stable crack propagation stage, and the change of acoustic emission event rate of yellow sandstone is concentrated in the crack closure stage. In the loading process, the energy release trends of the two sandstones are similar; the 30 freeze-thaw cycles are the boundary of brittle-plastic transformation of green sandstone, and the increase of cumulative energy is the most obvious. The research results provide a theoretical basis for studying the rock failure mechanism and improving the stability of rock engineering in cold regions.
Effective Evaluation of Nursing Intervention Based on Pediatric Early Warning Score for Pediatric Patients in the Respiratory Department
Authors: Huang Lihua , Cheng Lemei , Sun Yixia , Nian Fuhui , Tao Tingyue , Wu Jinbo , Ye Haiqiang
Published: September 2022

Objective. This study evaluated the impact of nursing intervention based on the Pediatric Early Warning Score (PEWS) on pediatric patients. Methods. A retrospective analysis was performed on 120 children admitted to the pediatric respiratory unit of Anhui Children’s Hospital, and they were randomly and equally assigned to the observation group (PEWS-based nursing intervention) and the control group (usual care). The following parameters were compared: incidence of unplanned admissions to the pediatric intensive care unit (PICU), disease progression, average hospitalization days, hospital costs, time required for nursing assessment and management, nursing record error rate, and medical satisfaction. Results. The incidence of unplanned admissions to PICU and disease exacerbations, mean hospital days and hospital costs were significantly lower in the observation group than in the control group (

P
<
0.05

). Compared with the control group, the observation group had lower nursing care time, time to assess the disease, and an error rate in writing the entire nursing record. In addition, the accuracy rate of nurse assessment and the satisfaction rate of doctors and nurses in the observation group were significantly higher than those in the control group (

P
<
0.05

). Conclusion. The PEWS-based nursing intervention not only reduced the unplanned admission rate, the incidence of disease worsening, and the average number of hospital days and hospital costs in the PICU but also accelerated the recovery process of pediatric patients in the respiratory unit. Meanwhile, PEWS-based nursing interventions can effectively improve nursing efficiency and medical care satisfaction.
Regular and Chaotic Behavior on the Convection in a Rotating Ferrofluid in Porous Medium under Helical Force
Authors: Hounvènou M.L. , Monwanou Vincent Adjimon
Published: September 2022

This article deals with the control of chaos on the convective motion in a ferrofluid filled in a rotating porous medium and under the helical force effect. We performed a truncated expansion of Galerkin and found the Lorenz‐type model which described the system. The dynamical system is characterized using appropriate and subsequent criteria. We noticed that the system presents regular and chaotic behaviors according to the parameters at present. A considerable reduction of the chaotic domain is noticed with the increase of the intensity of the helical force and of the Darcy number, thus making it possible to delay the heat transfer in the system. The increase in the viscosity ratio and the Taylor number widen the chaotic domain leading to an acceleration of the heat transfer in the system.
Mineral and Phenolic Composition of Erodium guttatum Extracts and Investigation of Their Antioxidant Properties in Diabetic Mice
Authors: Benrahou Kaoutar , Mrabti Hanae Naceiri , Fettach Saad , Kachmar Mohamed Reda , Kouach Mostafa , Goossens Jean-François , Doudach Latifa , Mahmud Shafi , Alshahrani Mohammed Merae , Al Awadh Ahmed Abdullah , Bouyahya Abdelhakim , Faouzi My El Abbes
Published: September 2022

Erodium guttatum is widely used in folk medicine in many countries to treat various ailments such as urinary inflammation, diabetes, constipation, and eczema. The aim of this study is the determination of mineral and phenolic compounds of E. guttatum extracts as well as the investigation of their antidiabetic and antioxidant properties. The mineral composition was determined by the methods of inductively coupled plasma atomic emission spectroscopy analysis. Phytochemical contents of total polyphenols, total flavonoids, and catechic tannins were estimated by colorimetric dosages. The phenolic composition was identified by high-resolution mass spectrometry (HRMS) analysis. The antioxidant activity of E. guttatum extracts was measured in vitro by five methods (DPPH, ABTS, FRAP, H2O2, and xanthine oxidase) and in vivo by assaying the malondialdehyde marker (MDA), superoxide dismutase (SOD), catalase (CAT), and glutathione (GSH). The obtained results showed that the root plant material is rich in minerals such as k, Ca, and Mg. The methanolic extract of E. guttatum is the richest in polyphenols (

389.20
±
1.55
 
mg

EAG/gE), tannins (

289.70
±
3.57
 
mg

EC/gE), and flavonoids (

432.5
±
3.21
 
mg

ER/gE). Concerning the ESI-HRMS analysis, it showed the presence of numerous bioactive compounds, including shikimic acid, rottlerine, gallic acid, and vanillic acid. Moreover, the aqueous and alcoholic extracts of E. guttatum exhibited antiradical and antioxidant activity in five tests used, with the best effect of the methanolic extract. Moreover, findings showed that in vivo investigations confirmed those obtained in vitro. On the other hand, E. guttatum showed important antidiabetic effects in vivo. Indeed, diabetic mice treated with extracts of E. guttatum were able to significantly reduce MDA levels and increase the secretion of enzymatic and nonenzymatic antioxidants (SOD, CAT, and GSH, respectively). However, the antioxidant activity of the extracts might be attributed to the abundance of bioactive molecules; as results, this work serves as a foundation for additional pharmacological research.
Yield Response of Different Rice Ecotypes to Meteorological, Agro‐Chemical, and Soil Physiographic Factors for Interpretable Precision Agriculture Using Extreme Gradient Boosting and Support Vector Regression
Authors: Ahmed Md. Sabbir , Tazwar Md. Tasin , Khan Haseen , Roy Swadhin , Iqbal Junaed , Rabiul Alam Md. Golam , Hassan Md. Rafiul , Hassan Mohammad Mehedi
Published: September 2022

The food security of more than half of the world’s population depends on rice production which is one of the key objectives of precision agriculture. The traditional rice almanac used astronomical and climate factors to estimate yield response. However, this research integrated meteorological, agro‐chemical, and soil physiographic factors for yield response prediction. Besides, the impact of those factors on the production of three major rice ecotypes has also been studied in this research. Moreover, this study found a different set of those factors with respect to the yield response of different rice ecotypes. Machine learning algorithms named Extreme Gradient Boosting (XGBoost) and Support Vector Regression (SVR) have been used for predicting the yield response. The SVR shows better results than XGBoost for predicting the yield of the Aus rice ecotype, whereas XGBoost performs better for forecasting the yield of the Aman and Boro rice ecotypes. The result shows that the root mean squared error (RMSE) of three different ecotypes are in between 9.38% and 24.37% and that of R‐squared values are between 89.74% and 99.13% on two different machine learning algorithms. Moreover, the explainability of the models is also shown in this study with the help of the explainable artificial intelligence (XAI) model called Local Interpretable Model‐Agnostic Explanations (LIME).
Daubechies Wavelet Scaling Function Approach to Solve Volterra’s Population Model
Authors: Alipanah Amjad , Arzideh Korosh , Firouzi Medina , Kasnazani A.
Published: September 2022

In this paper, we focus on a collocation approach based on Daubechies wavelet scaling functions for approximating the solution of Volterra’s model of population growth of a species with a closed system. We present that the integral and derivative terms, which appear in Volterra’s model of the population, will be computed exactly in dyadic points. Utilizing this collocation technique, Volterra’s population model reduces into a system of nonlinear algebraic equations. In addition, an error bound for our method will be explored. The numerical results demonstrate the applicability and accuracy of our method.
MES: A Helping Elderly Escort Interactive System Based on Reverse Active Integration of Multimodal Intentions
Authors: Lang Xujie , Feng Zhiquan , Yang Xiaohui , Xu Tao
Published: September 2022

Lacking human-computer collaborative capability is one of the key problems commonly faced by the existing escort robots. To this end, a helping elderly escort interactive system based on reverse active integration of multimodal intentions (MES) is proposed in this paper in response to the elderly’s decline in language expression ability, memory, and other abilities. This system can understand the intention of the elderly based on scene perception and three-modal information: speech, gesture, and posture. In detail, the system can extract the interactive intention from the nondeterministic multimodal data input by the elderly and evaluate the trust degree of the extracted intention. The evaluation of intention trust degree is such a process that the system autonomously judges the feasibility of the elderly’s intention and corrects the wrong intention expressed by the elderly due to memory decline by reverse thinking of “find reasons based on the results”; when the intention cannot be extracted, the system will take the initiative to ask the elderly for enhanced information conducive to the intention extraction, so as to quickly and correctly extract the interactive intention of the elderly. This design aims at improving the quality of elderly care, making the interaction between the elderly and the robot more natural, improving the accuracy in intention extraction from fuzzy expression, as well as breaking the traditional “master-slave” human-computer interaction and improving the harmony of human-computer interaction. Further, the implementation principle of the system is detailed, and the system is evaluated in this paper. The evaluation experiment was conducted by a robot Pepper embedded with the system. Through experiments, it is verified that Pepper can quickly and accurately get the real intention of the elderly in the interaction with the elderly. In a challenging environment (such as the unclear expression of the elderly), it can still correctly extract the real intention of the elderly with an accuracy of 97% and can effectively avoid the wrong intention expressed by the elderly. This puts forward a valuable research path for the challenge in human-computer collaborative interaction.
Clinical Analysis of Fetal Lung Development Index and Pregnancy Outcome in Pregnant Women with Gestational Diabetes Mellitus with Satisfactory Blood Glucose Control
Authors: Han Ting , Jin Xiao-dan , Yang Ju-fang , Tang Yan
Published: September 2022

Objective. To explore the regularity of fetal lung development of pregnant women with gestational diabetes mellitus (GDM) with satisfactory blood glucose control and the clinical analysis with pregnancy outcome. Methods. 120 GDM pregnant women with satisfactory blood glucose control (GDM group) and 200 normal pregnant women undergoing prenatal examination (Control group) from 31 to 38 + 6 weeks of gestation were included. The two groups of pregnant women were divided into 8 time periods according to the gestational age, respectively. The parameters of Doppler flow velocity curve of fetal main pulmonary artery, diameter lines of fetal lung development, mode of delivery, neonatal weight, neonatal asphyxia, neonatal respiratory distress syndrome (NRDS), and neonatal pneumonia were, respectively, compared and analyzed between the two groups. Results. Acceleration time (AT) and AT/ejection time (AT/ET) were positively correlated with gestational age, and AT/ET showed stronger correlation than AT, while no significant difference in AT and AT/ET between the two groups (P > 0.05). There was a positive correlation between the diameter of fetal lung development and gestational age, but there was no significant difference between the two groups (P > 0.05). In addition, there was no significant difference between the two groups in fetal delivery mode, neonatal weight, neonatal asphyxia, NRDS, and neonatal pneumonia (P > 0.05). Conclusion. AT/ET may be a potential index to evaluate fetal lung maturity. There was no difference in fetal lung development and neonatal birth outcome between pregnant women with satisfactory GDM blood glucose control and the normal pregnant women. The pregnancy of GDM pregnant women lasts until the end of 37∼38 weeks, and the neonatal incidence rate is decreased. The key is to manipulate the blood glucose in the normal range.
A Quasiexperimental Study on Process Verification of the Animation Teaching System under the Background of Animation-Related Majors
Authors: Wang Xuefeng , Abd Manan Mohd Shahrudin , Ramli Saiful Hasley Bin , Mohd Puad Mohd Hazwan
Published: September 2022

This article reports the results of an experimental study during the participation in the animation teaching system (ATS) by students of Digital Media Art at Kunming University (KU) and by students of digital media technology at Hunan University of Science and Engineering (HUSE), respectively. The experimental results are used to observe whether the students' scores on their work differed after using the ATS in different program contexts. The type of experiment in this study was quasiexperiment, with one experimental group and one control group at each university. Students from both universities participated in a pretest and a posttest. In accordance with the purpose of the study, we focused data analysis on the same group of posttest scores at both universities for analysis, i.e., two experimental groups for between-group comparisons and two control groups for between-group comparisons. The Mann–Whitney U test was used for comparative and quantitative analysis. The study examined that the experiment's digital media art students outperformed the digital media technology students. The article concludes with a discussion of how the ATS should be improved and enhanced for application in different animation-related majors.