bluuebunny/crossref_metadata_2025 huggingface dataset:
OP08 A feasibility cluster randomised controlled trial of a paramedic-administered breathlessness management intervention for acute-on-chronic breathlessness (BREATHE): study findings
Authors: Hutchinson Ann , Allgar Victoria , Cohen Judith , Currow David , Griffin Susan , Hart Simon , Hodge Andrew , Mason Suzanne , Northgraves Matthew , Reeve Joanne , Swan Flavia , Johnson Miriam
Published: August 2022

Background

One-fifth of conveyances to the emergency department (ED) are due to acute-on-chronic breathlessness. Paramedic breathlessness management may ease distress quicker and/or reduce ED conveyances. We evaluated the feasibility of a full trial of a paramedic delivered intervention to reduce avoidable conveyances (recruitment, randomisation, consent, training and intervention acceptability, adherence, data quality, best primary outcome, sample size estimation). The intervention comprised evidence-based non-drug techniques and a self-management booklet.

Methods

This mixed-methods feasibility cluster randomised controlled trial (ISRCTN80330546) with embedded qualitative study about trial processes, training and intervention delivery, randomised paramedics to usual care or to intervention+usual care. Retrospective patient consent to use call-out data and prospective patient/carer consent for follow-up was sought. Potential primary outcomes were breathlessness intensity (numerical rating scale) and ED conveyance. Follow-up included an interview for patients/carers and questionnaires at 14 days, 1 and 6 months and paramedic focus groups and survey.

Results

Recruitment was during the COVID-19 pandemic, leading to high demands on paramedics and fewer call-outs by eligible patients. We enrolled 29 paramedics; 9 withdrew. Randomisation/trial procedures were acceptable. Paramedics recruited 13 patients; 8 were followed up. Data quality was good. The intervention did not extend call-out time, was delivered with fidelity and no contamination and was acceptable to patients, carers, and paramedics. There were no repeat call-outs < 48 hours. Recruitment stop-go criteria were not met. We had insufficient data for sample size estimation.

Conclusions

A full trial in thesamecircumstances is not feasible. However, valuable information was gained on recruitment, attrition, consent, training and intervention acceptability and adherence, and patient-reported data collection.
Road safety lead agency challenges of three decades of intervention for road safety in Iran: implications for policy-makers
Authors: Sadeghi-Bazargani Homayoun , Razzaghi Alireza , Somi Mohammad Hossein , Doshmangir Leila , Esmaeili Alireza , Hedayati Javad , Hosseini Seyyed Teymoor , Khankeh Hamidreza , Khiavi Alireza Khavandi , Far Reza Masoudi , Mohammadian Pooria , Pour-Doulati Saeid , Rezaei Mahdi , Saadati Mohammad , Zakeri Jabbar Ali
Published: August 2022

Background

Road traffic crashes and associated injuries and mortalities are one of the big public health challenges, especially in low/middle-income countries. Road safety lead agency (RSLA) is a vital factor in the sustainable prevention and promotes road safety. In the recent decades, various policy interventions have been conducted for road safety in Iran. This study aimed at exploring the challenges of RSLA from the perspectives of stakeholders at various levels.

Methods

A qualitative study was conducted. In-depth interviews and document reviews were used for data collection. To conduct interviews, different stakeholders at various levels such as policy-makers, senior national authorities, researchers and faculty members were selected. Data collection was conducted between November 2019 and June 2020. Thematic content analysis approach was used for data analysis.

Results

The experts’ perspectives were analysed and then categorised under five main themes including the role and position of the lead agency, the role and duties of the actors and players, translating policy into practice, intrasectoral and intersectoral cooperation and coordination and evidence production and application and a total of 22 subthemes were identified. The current structure of the RSLA is one of the main challenges emphasised by the research participants.

Conclusion

To achieve significant improvements in road safety at the national level, a strong management system and leadership body is a critical issue. Organisational reform to establish an effective unique lead agency is proposed to cope with RSLA challenges.
Evaluation of an in vivo preclinical model for human middle meningeal artery embolization using the posterior intercostal artery of the swine
Authors: Arturo Larco Jorge L , Madhani Sarosh Irfan , Liu Yang , Abbasi Mehdi , Lylyk Pedro N , Benike Amy , Shahid Adnan , Tekin Burak , Quinton Reade , Savastano Luis E
Published: August 2022

Background

Embolization of the middle meningeal artery (MMA) is a promising minimally invasive technique that is gaining traction in the treatment of chronic subdural hematoma. Unfortunately, the human meninges and associated arteries are significantly larger than those of conventional laboratory animals, making the development of a clinically relevant animal model for testing of embolization agents elusive.

Objective

To introduce the posterior intercostal artery (PIA) model in swine and provide anatomical, angiographic, histological, and procedural data to validate its relevance in modeling the human MMA.

Methods

In human cadaveric specimens, 3D angiograms of the internal maxillary arteries (n=6) were obtained and the dura with MMA were harvested and histologically processed. Angiographic and histologic data of the human MMA were compared with the swine PIA (three animals). Then, embolization of the PIA (n=48 arteries) was conducted with liquid embolization agent (Onyx, Medtronic), and angiographic and histological results were assessed acutely (four animals) and after 30 days (two animals).

Results

The human MMA has equivalent diameter, length, branching pattern, 3D trajectory, and wall structure to those of swine PIAs. Each swine has 12 to 14 PIAs (6–7 per side) suitable for acute or chronic embolization, which can be performed with high fidelity using the same devices, agents, and techniques currently used to embolize the MMA. The arterial wall structure and the acute and chronic histological findings in PIAs after embolization are comparable to those of humans.

Conclusions

This PIA model in swine could be used for research and development; objective benchmarking of agents, devices, and techniques; and in the training of neurointerventionalists.
The partial waves of $$B^{*}_{2}(5747)$$ and their contributions in strong decays
Authors: Liu Ting-Ting , Pei Su-Yan , Li Wei , Han Meng , Wang Guo-Li
Published: August 2022

The relativistic Bethe–Salpeter method is adopted to study the OZI-allowed strong decays of the $$2^+$$

2
+

state $$B^{*}_{2}(5747)^{0}$$

B
2

∗

(
5747
)

0

, with emphasis on the relativistic corrections. We first study the partial waves in the wave functions used and find that there are P, D, and F partial waves in the $$B^{*}_{2}(5747)^{0}$$

B
2

∗

(
5747
)

0

meson, with ratios of $$P/D/F=1:0.421:0.051$$

P
/
D
/
F
=
1
:
0.421
:
0.051

. We also find that $$S/P/D=1:0.354:0.046$$

S
/
P
/
D
=
1
:
0.354
:
0.046

for $$B^*$$

B
∗

, and $$S/P=1:0.343$$

S
/
P
=
1
:
0.343

for the B meson. The large components of the D wave in $$B^{*}_{2}(5747)^{0}$$

B
2

∗

(
5747
)

0

and the P wave in $$B^{(*)}$$

B

(

∗
)

mean that large relativistic effects exist in these states. Second, we calculate the strong decays, and the total decay width $$\Gamma (B^{*}_{2}(5747)^{0})=25.9$$

Γ
(

B
2

∗

(
5747
)

0

)
=
25.9

MeV and the branching fraction $$\Gamma (B^{*}_{2}(5747)^{0} \rightarrow B^{*}\pi )$$

Γ
(

B
2

∗

(
5747
)

0

→

B

∗

π
)

/ $$\Gamma (B^{*}_{2}(5747)^{0} \rightarrow B\pi )=0.96$$

Γ
(

B
2

∗

(
5747
)

0

→
B
π
)
=
0.96

obtained are consistent with experimental data. Third, we study the contributions of different partial waves in the initial and final wave functions, and find that the relativistic effects are about $$15\%$$

15
%

and $$11\%$$

11
%

for $$B^{*}_{2}(5747)^{0} \rightarrow B\pi $$

B
2

∗

(
5747
)

0

→
B
π

and $$B^{*}_{2}(5747)^{0} \rightarrow B^{*}\pi $$

B
2

∗

(
5747
)

0

→

B

∗

π

, respectively, which are much smaller than our expected effects, showing that the relativistic corrections cancel each other in these decays.
Lattice Relaxation of Epitaxial FAPbI3 on MAPbClxBr3-x (001)
Authors: Parent Elisa , Raphael Johanna , Kujofsa Tedi , Ayers J. E.
Published: August 2022

Halide perovskite materials such as FAPbI3 are of great interest for photovoltaic applications and could replace silicon cells if problems of chemical instability, strain and crystal defects are solved. In this paper we present a preliminary modeling study of lattice relaxation in epitaxial FAPbI3 on MAPbClxBr3-x (001).
Integrated Circuit Authentication Based on Resistor and Capacitor Variations of a Low Pass Filter (LoPUF)
Authors: Quadir Md Shahed Enamul , Chandy John A.
Published: August 2022

Because of chip fabrication outsourcing, piracy, reverse engineering, and counterfeiting are major concerns for the semiconductor industry as well as the government. To prevent these issues, Physical Unclonable Functions (PUFs) based methods have been proposed has a way to authenticate chips. PUFs extract randomness from the manufacturing variations of a device that is probabilistic in nature. PUFs are generally easy to implement, but, because of its random behavior, its response is hard to predict and model. Many existing PUF techniques such as arbiter and ring oscillator can be hard to implement inside a chip because of their large area overhead. Hence, we have proposed a novel low pass filter PUF design in this work based on the internal resistor and capacitor variations within an IC. We have simulated the setup in Cadence Virtuoso for a 45 nm technology node. The resultant output voltage of our proposed PUF will be different at the same cut-off frequency because of the manufacturing variations. Finally, the output of the low pass filter PUF is connected with an inverter to make the signal digital and after that, a digital counter is connected with the inverter to measure the pulse width that can be used for generating a unique PUF output.
Implementing a Data Communication Security Tokens Management System Using COSMOS, an Energy Efficient Proof-of-Stake Blockchain Framework
Authors: Chang Milton , Das Santanu , Montrone Dale , Chakraborty Tapan
Published: August 2022

This paper proposes an energy efficient approach for securing inter-connecting IOT devices with servers. A scheme using blockchain and a second network for security management was previously described [1]. To overcome the drawbacks and shortcomings of using traditional smart contract with Ethereum, a new approach is proposed. The proposed approach ensures that the overall IoT network is “hardened” against attack using a framework which is environmentally sustainable and meets the stringent requirements of mission critical applications. This new approach also results in shorter latency, higher throughput and consuming less power, thus suitable for edge computing environment in mobile.
NUMERICAL INVESTIGATIONS OF A FRACTIONAL NONLINEAR DENGUE MODEL USING ARTIFICIAL NEURAL NETWORKS
Authors: SABIR ZULQURNAIN , RAJA MUHAMMAD ASIF ZAHOOR , JAVEED SHUMAILA , GUERRERO-SÁNCHEZ YOLANDA
Published: August 2022

The aim of this study is to perform the numerical investigations of a fractional nonlinear dengue model using artificial neuron networks (ANNs) along with the Levenberg–Marquardt backpropagation (LMB), i.e. ANNs. The fractional nonlinear dengue model is divided into five classes. The stochastic-based ANNs-LMB scheme is pragmatic on three variants of authentication, training and testing. The data magnitudes for three different variations based on the fractional nonlinear dengue model are selected as 80% for training, 10% for both testing and validation. The numerical procedures of the fractional nonlinear dengue model will be performed through ANNs-LMB and comparative investigations using the reference values that are calculated on the basis of Adams–Bashforth–Moulton scheme. The solution of the fractional nonlinear dengue model is obtained through the ANNs-LMB to reduce the mean square error (MSE). To authenticate the capability and efficiency of the proposed ANNs-LMB, the obtained numerical measures of correlation, MSE results, regression and error histograms (EHs) are provided.
Improving Chemical Mechanical Polishing Efficiency of PZT with Less than 100 ppm SO4
2−
Authors: Wu Yuan , Jiang Liang , Zheng Jiaxin , Qian Linmao
Published: August 2022

Excellent surface quality of lead zirconate titanate (PZT) is required to achieve high performance in micro-electro-mechanical systems. In this work, PZT-4 (Pb(Zr0.44Ti0.56)O3) was processed with chemical mechanical polishing (CMP). K2SO4 was used to enhance the CMP efficiency. The results reveal that at pH 4 and 6, as the K2SO4 concentration increases, the material removal rate (MRR) and surface roughness S
a first increase, then decrease and stabilize. Interestingly, at pH 6, after adding only 55 ppm SO4
2−, the MRR increases by 54%. After CMP, the surface becomes smooth. No visible processing damage occurs in the substrate. For the CMP mechanism, SO4
2− in K2SO4 plays an essential role in the MRR enhancement. At pH 6, PbO can dissolve, forming oxygen vacancies. After adding a low concentration of SO4
2−, the negatively charged SO4
2− ions can be attracted by the positively charged oxygen vacancies. Then soluble Zr(SO4)2 can be formed, promoting the dissolution of Zr4+. As a result, the surface integrity can be destroyed. Therefore, the MRR is improved. However, with a high concentration of SO4
2−, the PbSO4 precipitates can inhibit dissolution and wear. Hence, the MRR is suppressed. This research may provide a feasible approach for high-efficiency CMP of PZT.
Dynamic positive end-expiratory pressure strategies using time and pressure recruitment at birth reduce early expression of lung injury in preterm lambs
Authors: Tingay David G. , Pereira-Fantini Prue M. , Miedema Martijn , McCall Karen E. , Perkins Elizabeth J. , Dowse Georgie , Schinckel Nicholas , Sourial Magdy , Davis Peter G.
Published: August 2022

Positive end-expiratory pressure (PEEP) is critical to the preterm lung at birth, but the optimal PEEP level remains uncertain. The objective of this study was to determine the effect of maximum PEEP levels at birth on the physiological and injury response in preterm lambs. Steroid-exposed preterm lambs (124–127 days gestation; n = 65) were randomly assigned from birth to either 1) positive pressure ventilation (PPV) at 8 cmH2O PEEP or 3-min dynamic stepwise PEEP strategy (DynPEEP), with either 2) 20 cmH2O maximum PEEP (10 PEEP second steps) or 3) 14 cmH2O maximum PEEP (20-s steps), all followed by standardized PPV for 90 min. Lung mechanics, gas exchange, regional ventilation and aeration (electrical impedance tomography), and histological and molecular measures of lung injury were compared between groups. Dynamic compliance was greatest using a maximum 20 cmH2O (DynPEEP). There were no differences in gas exchange, end-expiratory volume, and ventilator requirements. Regional ventilation became more uniform with time following all PEEP strategies. For all groups, gene expression of markers of early lung injury was greater in the gravity nondependent lung, and inversely related to the magnitude of PEEP, being lowest in the 20 cmH2O DynPEEP group overall. PEEP levels had no impact on lung injury in the dependent lung. Transient high maximum PEEP levels using dynamic PEEP strategies may confer more lung protection at birth.
Study on the Absorption of Arsenic Species in Realgar Based on the Form and Valence
Authors: Sun Mingyi , Li Yaolei , Wang Ying , Wu Huimin , Liu Jing , You Longtai , Peng HuLinyue , Huang Huating , Jin Hongyu , Dong Xiaoxu , Qu Changhai , Yin Xingbin , Ni Jian
Published: August 2022

At present, several experiments have been carried out to study the changes in total arsenic content of realgar and its prescription, but few researches on its form and valence. We evaluated the change in arsenic species concentration in realgar from the perspective of absorption by using an in vitro dissolution study, an in vivo unidirectional intestinal perfusion study, transmembrane transport in Caco-2 cells, and a pharmacokinetic study in rats. In the gastrointestinal tract, arsenic species are mainly present inorganic forms of AsIII and AsV. The cumulative dissolution rates of soluble arsenic in 4 h artificial gastric fluid and 8 h artificial intestinal fluid were 21.99% and 59.20%, respectively. The

P

app

values of soluble arsenic in realgar in the duodenum, jejunum, and ileum of rats were 5.4 × 10−3, 6.1 × 10−3 and 5.8 × 10−3 cm/min, respectively. In the process of small intestine perfusion, the AsIII of realgar was partially converted into AsV in the duodenum and jejunum. As the transport time increased, the transmembrane transport rate and

P

app

value of soluble arsenic in realgar were increased in Caco-2 cells, and it also suggested that arsenic species may be passively transported across the Caco-2 cell monolayer. The Cmax and AUC (0-24) of AsIII, AsV, and DMA in plasma of realgar were 41.26 ng L−1/343.977 ng h mL−1, 21.626 ng L−1/47.310 ng h mL−1, and 2.372 ng L−1/30.429 ng h mL−1, respectively. Tmax and MRT (0-∞) of AsIII, AsV, and DMA were 2.571 h/9.649 h, 0.393 h/2.790 h, and 3.143 h/23.145 h, respectively. It is hoped to provide a basis for clarifying the arsenic species in realgar.
Students’ Daily English Situational Teaching Based on Virtual Reality Technology
Authors: Han Lijuan
Published: August 2022

Since China is not a native English-speaking country, Chinese English learners generally have poor English application ability. Therefore, this paper aims to study the combination of virtual reality and English learning to create an immersive English learning system, which provides new solutions for students’ daily English to relieve from foreign language anxiety and improve their English application ability. This paper proposes that starting from the research needs, this research has developed a VR English learning system for scene-based teaching. This system can bring visual, auditory, and tactile multisensing experiences to daily English users’ learning. The user is fully immersed in the virtual scene, and the feasibility of the system is increased by data demonstration through actual teaching experiments. The experimental results of this paper show that 90% of the learners are satisfied with the learning effect in the virtual simulation learning situation, and more than 80% of the learners believe that using the avatar learning method to learn English in the virtual simulation learning situation improves the ability of all aspects and the relationship between teachers and students. In addition, 85% of the learners believe that they can improve their interest in daily English learning in the virtual simulation learning situation. Therefore, the feasibility of the system is high.
Construction of Piano Performance Curriculum System Based on Convolutional Neural Network
Authors: Yang Dongxu , Zhang Weiya
Published: August 2022

Comprehensively promoting quality education and the all-round development of human beings is the focus of current educational work. When carrying out quality education at university, it is important to start from all aspects such as ideology and morality, physical and mental health, professional learning and personality cultivation, and to give full play to their potential and enhance their creativity. Music teaching is an important element of quality education and using it as an entry point can prevent it from being too abstract. However, music education is still a weak aspect of higher education in China.
Effect of Ozone Treatment Intensity on Pasting Property, Protein Composition, and Steamed Bread Quality of Ozone-Treated Wheat Flour
Authors: Zhang Wei , Wang Haoxuan , Li Liuyan , Zeng Xuefeng , Shu Zaixi , Wang Pingping
Published: August 2022

Wheat flours were treated with ozone gas at low- and high-intensity conditions (0.61 and 3.82 g/h) for different durations (short: 5 min; long: 30 min), and the ozone-treated flours were evaluated in quality properties, including pH, protein component, water molecular mobility of dough, pasting property, and steamed bread quality. At both conditions, ozone treatment decreased the pH of wheat flour. Long duration of high-intensity treatment aroused significant increase in insoluble polymeric protein (IPP) content of wheat flour, but other treatments did not significantly change the IPP content. Dough of ozone-treated flour had higher water molecular mobility than that of native flour. Short duration of low-intensity treatment did not significantly change most pasting viscosity parameters of wheat flour, but other treatments increased the peak viscosity, breakdown viscosity, and setback viscosity. Steamed bread of ozone-treated flour had lower specific volume and pore uniformity than that of native flour. Long duration of high-intensity treatment of flour increased the hardness and chewiness of the steamed bread product, but other treatment showed opposite effect. Among the four ozone treatments, long duration of high-intensity treatment aroused the greatest change in pH, IPP, water molecular mobility of dough, and the quality of steamed bread, while short duration of low-intensity treatment had the minimum effect. Long duration of low-intensity treatment was close to the short duration of high-intensity treatment in quality attributes of wheat flour and the total ozone yield. These results suggested that the quality of wheat flour gradually changed with the increase of total ozone yield, and overozonization would greatly deteriorate the quality of wheat flour.
Effect of PCSK9 Inhibitor on Contrast-Induced Acute Kidney Injury in Patients with Acute Myocardial Infarction Undergoing Intervention Therapy
Authors: Ma Yu , Zha Lei , Zhang Qi , Cao Lu , Zhao Ru , Ma Jing , Hou Kai , Pan Yue , Cong Hongliang , Li Ximing
Published: August 2022

Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors have been shown to inhibit pyroptosis and apoptosis, which play important roles in the development and progression of contrast-induced acute kidney injury (CI-AKI). However, to the best of our knowledge, no studies have investigated the potential effect of PCSK9 inhibitors on the prevalence of CI-AKI after percutaneous coronary intervention (PCI). This study aimed to determine whether PCSK9 inhibitors are associated with the prevalence of CI-AKI. The medical records of 309 (mean age, 63.35 years; 71.84% male) patients with acute myocardial infarction who underwent PCI at our institution were retrospectively analyzed. Overall, 149 and 160 patients were assigned to the evolocumab and control groups, respectively. Serum creatinine levels were examined preoperatively and 24–72 h postoperatively and compared between groups. Data were grouped according to the occurrence of CI-AKI, and a univariate analysis was conducted to exclude suspected influencing factors that led to CI-AKI occurrence. After adjusting for confounding factors, a logistic regression analysis was performed to assess the association between evolocumab administration (independent variable) and CI-AKI occurrence (dependent variable). The prevalence of CI-AKI was significantly lower in the evolocumab group (6.7%) than in the control group (20.0%;

p
<
0.01

).We further evaluated the correlation between exposure factor and outcome. The relative risk(RR) between the use of evolocumab and the occurrence of CI-AKI was 0.34(95% CI 0.17-0.66,p<0.01).This result indicate a significant association between the use of evolocumab and a reduction in the incidence of CI-AKI.The logistic regression analysis results revealed that evolocumab was significantly associated with CI-AKI. The use of PCSK9 inhibitors, hydration therapy, and statin administration appears promising for preventing CI-AKI in patients with acute myocardial infarction undergoing PCI.
Deep Learning-Based Application of Image Style Transfer
Authors: Liao YiMi , Huang YouFu
Published: August 2022

Generative adversarial network (GAN) is a deep learning model that is widely applied to image generation, semantic segmentation, superresolution tasks, and so on. CycleGAN is a new model architecture that is used for various applications in image translation. This paper mainly focuses on the CycleGAN algorithm model. To improve the network model’s capacity of extracting image features, the generator model uses the neural network of Unet, which consists of eight down-sampling and eight up-sampling layers, to extract image features. We use the Markov discriminator of PatchGAN since it has high-resolution and high-detail characteristics in the image style transfer. In order to improve the running efficiency, the depthwise separable convolution and standard convolution are combined in the Markov discriminator. The experimental results show that it can effectively shorten the running time. Then, we compare the image with the generative image that uses the L1 loss function, the L2 loss function, and the smooth L1 loss function. The experimental results show that the CycleGAN neural network can effectively complete the image style transfer. The L1 loss model can well retain the details of the original image. The L2 loss model is clear in the distant part of the natural photo generated by Monet painting, and the color tone is more similar to the original image. The image generated by the smoothL1 loss model is smoother. The L1 loss model and the smooth L1 loss model have some miscoloring in the natural photos generated by the Monet painting. In general, the L2 loss model is more stable, and the generative image is better.
MicroRNA-29b Suppresses Inflammation and Protects Blood-Brain Barrier Integrity in Ischemic Stroke
Authors: Ma Xiaoqing , Yun Ho Jun , Elkin Kenneth , Guo Yunliang , Ding Yuchuan , Li Guangwen
Published: August 2022

Objectives. Following cerebral ischemia, microRNA- (miR-) 29b in circulating blood is downregulated. This study investigates the underlying mechanism and implications of miR-29b in leukocyte induction. Methods. miR-29b from stroke patients and rats with middle cerebral artery occlusion (MCAO) were assessed using real-time polymerase chain reaction (PCR). miR-29b agomir was used to increase miR-29b expression in leukocytes via intravenous injection. C1q and tumor necrosis factor (C1QTNF) 6, interleukin- (IL-) 1β, zonula occludens- (ZO-) 1, occludin, and ischemic outcomes were assessed in MCAO rats. Additionally, hCMEC/D3 cells were subjected to oxygen–glucose deprivation (OGD) and cocultured with HL-60 cells. Results. miR-29b levels in neutrophils were found to be significantly lower in stroke patients compared with healthy controls, which may indicate its high diagnostic sensitivity and specificity for stroke. Moreover, miR-29b levels in leukocytes showed a negative correlation with National Institute of Health Stroke Scale (NIHSS) scores and C1QTNF6 levels. In MCAO rats, miR-29b overexpression reduced brain infarct volume and brain edema, decreasing IL-1β levels in leukocytes and in the brain 24 hours poststroke. miR-29b attenuated IL-1β expression via C1QTNF6 inhibition, leading to decreased blood-brain barrier (BBB) disruption and leukocyte infiltration. Moreover, miR-29b overexpression in HL-60 cells downregulated OGD-induced hCMEC/D3 cell apoptosis and increased ZO-1 and occludin levels in vitro. Conclusion. Leukocytic miR-29b attenuates inflammatory response by augmenting BBB integrity through C1QTNF6, suggesting a novel miR-29b-based therapeutic therapy for ischemic stroke.
Encryption Technology for Computer Network Data Security Protection
Authors: Yu Yang
Published: August 2022

In order to solve the network security problem of data encryption technology, this paper proposes a research method of computer network information security maintenance based on data encryption technology. Taking the network reporting system of a mining enterprise as the research object, this paper comprehensively expounds on the design of network reporting system and data encryption in network communication from the aspects of demand investigation, demand analysis, system design, software system development, and so on and implements the development by using BS architecture + independent client. The experimental results show that the AES algorithm can be independently designated as 128 bits, 192 bits, and 256 bits. Conclusion. This scheme can realize the rapid and safe transmission of data information and provide an effective means for the transmission of confidential documents on the network, so it has a good application prospect.
Construction of Automatic Matching Recommendation System for Web Page Image Packaging Design Based on Constrained Clustering Algorithm
Authors: Kong Xiangjun
Published: August 2022

With the rapid development of artificial intelligence technology, computer vision science has also gained new opportunities. As the foundation of computer vision and numerous artificial intelligence applications, image matching technology has received extensive attention from researchers and companies around the world. However, in web design, the research on the image matching system is not mature enough, which results in a series of problems such that the web design is not beautiful enough, and the figures do not conform to the design theme. Therefore, it is the current trend to deeply study the structure of the automatic matching recommendation system for web page image packaging design. The purpose of this paper is to use the constrained clustering algorithm to study how to construct an automatic matching recommendation system for web page image packaging design. This paper first gives a general introduction to the classification of constrained clustering algorithms. Then, the operation mechanism and model establishment of SURF feature description operator, SIFT feature description operator, and ORB feature description operator are described in detail. Then, through experiments, the matching accuracy of the web page image matching system based on the constrained clustering algorithm and the influence of parameter changes are compared with other algorithms. Finally, a comparative experiment is carried out on the image matching effects of the three feature description operators. The matching speed, noise sensitivity, and rotation type experiments are introduced respectively. By constructing the web page image packaging design of the constrained clustering algorithm to automatically match the algorithm model of the recommender system and experimenting with the model, the advantages of the constrained clustering algorithm in the model construction are proved. The experimental results show that the constrained clustering algorithm has higher image matching efficiency and matching accuracy, and the accuracy of image feature extraction is better than other algorithms. However, when the network structure division attribution threshold is

ϕ
=
0.4

, the clustering performance of the constrained clustering algorithm is better. Compared with the parameter 100, when the parameter is 500 and 1000, the accuracy of the constrained clustering algorithm can be improved, and the calculation accuracy is increased by 0.317.
Isometric Quadriceps Exercises for Patients with Knee Osteoarthritis: A Randomized Controlled Trial Comparing Knee Joint Position Flexion versus Extension
Authors: Sengul Alaattin , Yavuzer Melek Gunes , Keles Ozal , Tunali Ayse Nur , Tuncer Deniz
Published: August 2022

Objective. To compare the effect of quadriceps isometric exercises performed in two different positions in addition to the combined physical therapy program on pain, stiffness, and physical function in patients with knee osteoarthritis (OA). Methods. A total of 30 patients with OA (age range 45 to 70 years) who were admitted to Istanbul Private Ekotom Medical Center, Department of Physical Medicine and Rehabilitation Outpatient Clinic, were included. The patients were randomly divided into two groups according to the type of performing the quadriceps isometric exercises as group 1 (performing in knee extension,n=14) and group 2 (performing in knee flexion,n=15). All patients also received a combined physical therapy program. Exercise protocols were applied six days a week for four weeks. The pain was evaluated using a 10 cm visual analog scale for pain (VAS) in rest and activity; pain, joint stiffness, and physical function were assessed using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Results. A significant difference was found in the VAS and WOMAC scores of both groups in group comparisons (p<0.05). When the groups were compared in terms of change values, a significant difference was found in the WOMAC stiffness score in favor of group I (p<0.05). Discussion. It is possible to obtain positive results with quadriceps isometric exercises to reduce pain and joint stiffness and increase physical function in patients with knee OA. However, exercises performed in knee extension were found to be more effective in reducing joint stiffness.
A Machine Learning-Based Model for Stability Prediction of Decentralized Power Grid Linked with Renewable Energy Resources
Authors: Ibrar Muhammad , Hassan Muhammad Awais , Shaukat Kamran , Alam Talha Mahboob , Khurshid Khaldoon Syed , Hameed Ibrahim A. , Aljuaid Hanan , Luo Suhuai
Published: August 2022

A decentralized power grid is a modern system that implements demand response without requiring major infrastructure changes. In decentralization, the consumers regulate their electricity demand autonomously based on the grid frequency. With cheap equipment (i.e., smart meters), the grid frequency can be easily measured anywhere. Electrical grids need to be stable to balance electricity supply and demand to ensure economically and dynamically viable grid operation. The volumes of electricity consumed/produced (p) by each grid participant, cost-sensitivity (g), and grid participants’ response times (tau) to changing grid conditions affect the stability of the grid. Renewable energy resources are volatile on varying time scales. Due to the volatile nature of these renewable energy resources, there are more frequent fluctuations in decentralized grids integrating renewable energy resources. The decentralized grid is designed by linking real-time electricity rates to the grid frequency over a few seconds to provide demand-side control. In this study, a model has been proposed to predict the stability of a decentralized power grid. The simulated data obtained from the online machine learning repository has been employed. Data normalization has been employed to reduce the biased behavior among attributes. Various data level resampling techniques have been used to address the issue of data imbalance. The results showed that a balanced dataset outperformed an imbalanced dataset regarding classifiers’ performance. It has also been observed that oversampling techniques proved better than undersampling techniques and imbalanced datasets. Overall, the XGBoost algorithm outperformed all other machine learning algorithms based on performance. XGBoost has been given an accuracy of 94.7%, but while combining XGBoost with random oversampling, its accuracy prediction has been improved to 96.8%. This model can better predict frequency fluctuations in decentralized power grids and the volatile nature of renewable energy resources resulting in better utilization. This prediction may contribute to the stability of a decentralized power grid for better distribution and management of electricity.
Fixed-Point and STILS Method to Solve a Coupled System of Transport Equations
Authors: Sangare Daouda
Published: August 2022

In this paper, a coupled system of two transport equations is studied. The techniques are a fixed-point and Space-Time Integrated Least Square (STILS) method. The nonstationary advective transport equation is transformed to a “stationary” one by integrating space and time. Using a variational formulation and an adequate Poincare inequality, we prove the existence and the uniqueness of the solution. The transport equation with a nonlinear feedback is solved using a fixed-point method.
Clinically Significant Cytochrome P450-Mediated Drug-Drug Interactions in Children Admitted to Intensive Care Units
Authors: Li Tong , Hu Biwen , Ye Ling , Feng Zeying , Huang Longjian , Guo Chengjun , Wu Xiong , Tan Wei , Wang Yi , Yang Guoping , Guo Chengxian
Published: August 2022

Objectives. Children admitted to intensive care units (ICUs) often require multiple medications due to the complexity and severity of their disease, which put them at an increased risk for drug interactions. This study examined cytochrome P450-mediated drug-drug interactions (DDIs) based on the Pediatric Intensive Care (PIC) database, with the aim of analyzing the incidence of clinically significant potential drug-drug interactions (pDDIs) and exploring the occurrence of actual adverse reactions. Methods. The Lexicomp database was used to screen cytochrome P450-mediated DDI pairings with good levels of reliability and clear clinical phenotypes. Patients exposed to the above drug pairs during the same period were screened in the PIC database. The incidence of clinically significant pDDIs was calculated, and the occurrence of adverse reactions was explored based on laboratory measurements. Results. In total, 84 (1.21%) of 6920 children who used two or more drugs were exposed to at least one clinically significant pDDI. All pDDIs were based on CYP3A4, with nifedipine + voriconazole (39.60%) being the most common drug pair, and the most frequent being the J02 class of drugs. Based on laboratory measurements, 15 adverse reactions were identified in 12 patients. Conclusions. Clinically significant cytochrome P450-mediated pDDIs existed in the children admitted to ICUs, and some of the pDDIs led to adverse clinical outcomes. The use of clinical decision support systems can guide clinical medication use, and clinical monitoring of patients’ needs has to be enhanced.
Transcranial Doppler Ultrasound for Monitoring the Cerebral Hemodynamic Changes and Prognosticating Outcomes in Venoarterial Extracorporeal Membrane-Oxygenated Patients
Authors: Wang Man , Li Le , Tan Yi-Dong
Published: August 2022

Objective. Patients receiving venoarterial extracorporeal membrane oxygenation (VA-ECMO) support may have cerebral hemodynamic changes whose impact on patient outcome are not fully elucidated. This study aims to evaluate the correlation between cerebral hemodynamic changes and prognostic outcome in patients during VA-ECMO. Methods. Transcranial Doppler (TCD) ultrasound examination was performed to attain the systolic velocity (Vs), diastolic velocity (Vd), mean velocity (Vm), and pulsatility index (PI) of patients undergoing VA-ECMO. Cardiac ultrasound was also performed to assess the correlation between the left ventricular outflow tract velocity time integral (LVOT VTI), left ventricular ejection fraction (LVEF), and middle cerebral artery (MCA) with the systolic peak. Moreover, we assessed the predictive value of LVOT VTI and LVEF in patients with the systolic peak. Patients were divided into survival and death groups according to the 28-day survival period. Clinical data were compared between the two groups to investigate the effects of cerebral hemodynamic changes on the prognosis of VA-ECMO patients. Results. We found that the patient’s LVOT VTI and LVEF had high predictive values for the systolic peak of the right middle cerebral artery. The initial LVEF, Vs, Vd and PI, and lactate level as well as the MODS incidence rate difference were significantly different between the survival and death groups. In addition, the results showed that the initial Vs value was an independent risk factor for the prognosis of patients undergoing VA-ECMO. Conclusions. Cerebral hemodynamic changes may occur in patients supported by VA-ECMO. In addition, a poor cerebral arterial pulsatile blood flow was closely correlated with an unfavorable outcome in these patients.
The Application of AI-Based Technology in Computer Network Operation and Maintenance
Authors: Li Li
Published: August 2022

As an emerging IT technology, artificial intelligence has unique advantages in data extraction and data processing. In this paper, an artificial intelligence search method based on the K-means algorithm is proposed. According to the similarity between data samples, the samples are divided into many different categories. The ARIMA algorithm is used to perform regression analysis on the traffic data, and a Boosting model is established to improve the time series prediction accuracy. And, we use the relative distance between elements to represent the degree of dissimilarity of different types of variables. It can process massive data in a short time and obtain user behavior information. A large number of experiments show that the method proposed in this paper can complete information search more effectively and complete information classification quickly.
Optimal Design of an Information Management System for Government: A Bridge between Government and Citizens
Authors: Li Xiayun , Wang Liuyun , Fang Liuyue
Published: August 2022

The system of government information management can effectively integrate the government-related information and its catalogs that are scattered in various parts and implement the standardized management, so as to realize such as the optimization of information sharing and workflow. Therefore, in this paper, systematic design of an information management system for government is optimized. By using the B/S architecture, the system is divided into four functional modules: organization management, working platform, information management, and information statistics, where based on the design pattern of MVC, the system is divided into the web layer, service layer, and entity layer. Meanwhile, the object-oriented and inheritable programming language Java and the SSH framework are adopted to design the system code. The results show that the system successfully completes related functional operations, which is helpful to promote the formation of “Participatory Governance System”.
Effects of Turmeric, Cinnamon, and Lemon Extracts on Shelf Life, Nutrients, and Preservation of Carp Fish in Cold Storage
Authors: Mugahi Samira Maleki , Aberoumand Ali , Ziaei-nejad Saeed
Published: August 2022

The present study aimed to investigate the effect of extracts of turmeric, cinnamon, and lemon on shelf life, macronutrients, and oxidative spoilage of the carp fish in cold storage at 4°C. Fishes were divided into five groups: control (NT); immersed fish in extracts of cinnamon, turmeric, and lemon (CTL); immersed fish in extracts of lemon and turmeric (LT); immersed fish in extracts of cinnamon and turmeric (CT); and immersed fish in extracts of lemon and cinnamon (LC). Results showed immersion of the carp fillet in extracts of turmeric, cinnamon, and lemon improved spoilage indices such as thiobarbituric acid, volatile nitrogen bases, and pH. The used extracts maintained the nutritional value and increased the fish’s shelf life. The compounds existed in the studied extracts decreased the values of the spoilage indices during cold storage. The highest spoilage indices were found for CL and CT treatments, and the lowest was for CTL treatment. The total bacterial load as well as the number of psychrophilic bacteria in the fish fillet found a significant decrease compared to the NT. Therefore, the best treatment was CTL, and inappropriate treatments were CT and CL. The fish shelf life for nine days was extended with the used extracts because the total count of cryophilic bacteria was 0.41 × 104 ± 0.50, which was the lowest compared to other treatments.
Hydroclimatic Variability, Characterization, and Long Term Spacio-Temporal Trend Analysis of the Ghba River Subbasin, Ethiopia
Authors: Hiben Mehari Gebreyohannes , Gebeyehu Awoke Admasu , Adugna Ashenafi Abraha
Published: August 2022

Understanding hydroclimatic variability and trend for the past four decades in the Upper Tekeze River basin is significant for future sustainable water resource management as it indicates regime shifts in hydrology. Despite its importance for improved and sustainable water allocation for water supply-demand and food security, varying patterns of streamflow and their association with climate change are not well understood in the basin. The main objective of this study was to characterize, quantify, and validate the variability and trends of hydroclimatic variables in the Upper Tekeze River basin at Ghba subbasin using graphical and statistical methods for homogeneous stations for the time period from 1953 to 2017, not uniform at all stations. The rainfall, temperature, and streamflow trends and their relationships were evaluated using the regression method, Mann–Kendall (MK) test, Spearman’s rho (SR) test, Sen’s slope, and correlation analysis. The analysis focused on rainfall, temperature, and streamflow collected from 11 climate and six hydrostations. For simplicity to discuss the interannual and temporal variability the stations were categorized into two clusters according to their record length, category 1 (1983–2017) and category 2 (1953–2017). About 73% and 27% of the rainfall stations exhibited normal to moderate annual rainfall variability. The MK and SR test showed that most of the significant trends in annual rainfall were no change except in one station decreasing and the test also showed no significant change in temperature except in three stations showed an increasing trend. Overall, streamflow trends and change point timings were found to be consistent among the stations and all have shown a decreasing trend. Changes in streamflow without significant change in rainfall suggest factors other than rainfall drive the change. Most likely the observed changes in streamflow regimes could be due to changes in catchment characteristics of the subbasin. These research results offer critical signals on the characteristics, variability and trend of rainfall, temperature, and streamflow necessary to design improved and sustainable water allocation strategies.