bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of Computer-Based Simulation Teaching Combined with PBL in Colorectal Tumor Hemorrhage
Authors: Zhang Yanling , Hu Jinyan , Li Lingling , Zhao Yunpeng
Published: September 2022

Objective. This paper aims to explore the use of computer-based simulation teaching combined with PBL in colorectal tumor bleeding. Methods. The outpatient department organized 21 nursing staffs to conduct computer simulation combined with PBL teaching, compared emergency theory and skill scores, and investigated the recognition of computer simulation teaching combined with PBL. Results. The scores of theoretical knowledge examination before training were (84.31 ± 6.39) and (92.59 ± 2.93) after training; the scores of treatment skills examination were (85.69 ± 6.15) and (95.43 ± 2.88) after training; the scores of comprehensive treatment skills before training were (76.6 ± 6.31) and (91.43 ± 2.3) after training. The results of the questionnaires showed that the nurses were more agreeable to the new teaching methods and were able to complete the tasks in strict accordance with the requirements, ultimately achieving a level of satisfaction with their progress. Conclusion. Computer simulation teaching combined with PBL can deepen general practitioners’ understanding of knowledge, improve practical ability, and provide a clinical basis for improving patient resuscitation in specialized oncology hospitals.
High-Quality Development of Leisure Agriculture in Jiangsu Province in the New Period: From the Perspective of Non-Technological Innovation
Authors: Li Xin , Li Lei
Published: September 2022

How to innovate leisure agriculture in the new period is the core issue in the high-quality development of leisure agriculture. The research holds that whether it is the macro “trend of leisure agriculture system supply”, the middle “characteristics of leisure agriculture industry itself” and the micro “characteristics of leisure agriculture enterprises”, it is the rational choice to choose non-technical innovation for the high-quality development of leisure agriculture in the new period. With the acceleration of technological innovation, the importance of non-technical innovation has become increasingly prominent. The organization for economic cooperation and development (OECD) and the European Statistical Office (Eurostat) have not only expanded the definition of innovation, but also increased marketing innovation and organizational innovation. These two kinds of innovations are not technological innovations in themselves, but they are of great significance to the growth of productivity and economic development. Taking Jiangsu as the research area, it took two years (2020–2021) to conduct a field survey on 31 representative leisure agricultural enterprises in seven cities of southern, central and northern Jiangsu. The results showed that non-technological innovation factors were the key to these representative enterprises' competitive advantage, but it was also found that Jiangsu leisure agricultural enterprises needed systematic support from non-technological innovation to “excellence”. Based on industrial economics, technological innovation economics and evolutionary economics, this paper tries to build a non-technological innovation system of leisure agriculture in Jiangsu province, and puts forward some countermeasures and suggestions for the high-quality development of leisure agriculture under the system construction from two dimensions of government and enterprises.
Compass Fundus-Guided Perimetry in Geographic Atrophy
Authors: Farci Roberta , Carta Arturo , Fogagnolo Paolo , Rossetti Luca Mario , Fossarello Maurizio
Published: September 2022

Purpose. To evaluate compass (CMP), a recently introduced device that combines scanning ophthalmoscopy, automated perimetry, and eye tracking, for fundus-guided perimetry (microperimetry) with the purpose of correlating perimetric retinal sensitivity (PRS) and retinal geographic atrophy (GA) features. Materials and Methods. A retrospective, cross-sectional study was performed in 56 eyes of 43 patients affected by GA. All patients underwent compass 10-2 perimetry, consisting of a full-threshold visual field on fundus photography and an infrared (IR) image of the central 30° of the retina. Data were exported to an Excel sheet. Binarization with black/white (B/W) variables was applied on the compass photo fundus and matched with visual field scores. Patients underwent autofluorescence (AF) and IR images (Heidelberg, Germany): CMP and Heidelberg IR images were homologated by using GIMP software (https://www.gimp.org), and then atrophic areas were manually measured with the ImageJ program. CMP perimetric grid was overlapped with AF and IR pictures by using GIMP, obtaining composite TIFF images, which were then analyzed with the ImageJ greyscale score (GSS) tool. A hyperautofluorescent halo was identified on the GA edges of some patients. Pearson’s correlation between GA size on IR compass and IR Heidelberg and between GSS and PRS values has been calculated; the independent t-test was realized to calculate the correlation between GSS and B/W variables identified on the CMP photo fundus. The Spearman correlation between total deviation and pattern deviation was calculated. Results. The AUC-ROC score between CMP scores and B/W variables was 93,4%. The Spearman correlation between total deviation and pattern deviation was highly significant (

p
=
0,00

). The correlation between AF GSS values and PRS was significant (

p

value = 0,00), the correlation between GSS of hyperautofluorescent points and PRS was significant (

p

value = 0,00), and the correlation between IR GSS and PRS was significant (

p

value = 0,00). The correlation between AF GSS and B/W variables was significant (

p

value = 0,002), the correlation between hyperautofluorescent points and B/W was not significant (

p

value = 0,40), and the correlation between IR GSS and B/W was significant (

p
=
0,00

). Conclusions. Based on our preliminary results, compass seems to be a reliable, quick, and safe device for the anatomical and functional study of GA. The direct visualization of the visual field on the fundus photography as a background allows a precise assessment and clinical monitoring of this disease.
Sex Difference in MasR Expression and Functions in the Renal System
Authors: Choopani Samira , Nematbakhsh Mehdi
Published: September 2022

Renin-angiotensin system (RAS), as a critical system for controlling body fluid and hemostasis, contains peptides and receptors, including angiotensin 1-7 (Ang 1-7) and Mas receptor (MasR). Ang 1-7 implements its function via MasR. Ang II is another peptide in RAS that performs its actions via two Ang II type 1 and 2 receptors (AT1R and AT2R). The functions of AT2R and MasR are very similar, and both have a vasodilation effect, while AT1R has a vasoconstriction role. MasR affects many mechanisms in the brain, heart, blood vessels, kidney, lung, endocrine, reproductive, skeletal muscle, and liver and probably acts like a paracrine hormone in these organs. The effect of Ang 1-7 in the kidney is complex according to the hydroelectrolyte status, the renal sympathetic nervous system, and the activity level of the RAS. The MasR expression and function seem more complex than Ang II receptors and have interacted with Ang II receptors and many other factors, including sex hormones. Also, pathological conditions including hypertension, diabetes, and ischemia-reperfusion could change MasR expression and function. In this review, we consider the role of sex differences in MasR expression and functions in the renal system under physiological and pathological conditions.
[Retracted] Analysis of Teaching Strategies of College English Speculative Reading Based on Big Data Analysis of Student Behavior in Cross‐Cultural Education Environment
Authors: Du Nannan
Published: September 2022

Both dynamic and interactive, cross‐cultural education emphasizes respect, interaction, and understanding between various cultural groups. Its fundamental principle is to acknowledge and value cultural diversity while opposing attempts to artificially unite cultures in order to recognise the equality and common heritage of all cultures. The goal of intercultural education, from an individual’s perspective, is to support those who are educated in understanding, accepting, and respecting other foreign cultures in order to better adapt to and thrive in a multicultural society. To develop students’ intercultural communication skills is the goal of intercultural education. Based on the associations between intercultural education and speculative reading, this essay analyzes the crucial role that intercultural English teaching and speculative reading instruction play in colleges and universities before going over the situation and approaches that English speculative reading instruction is currently facing. This paper primarily discusses the data on students from the student work management system, the relationship between grades and actual behavior, and the rules that are mined to provide a scientific basis for decision‐making for the relevant units in colleges and universities. According to experimental analysis, the data mining algorithm in this paper performs better than the other two in terms of predicting students’ English achievement, with an average accuracy of 0.86 compared to 0.71, 0.075, and 0.73 for the other three algorithms. The decision tree created using this methodology can quantitatively reflect the impact of different teaching factors on learning quality and offers a clear and reliable foundation for formulating targeted improvement strategies.
A Collaborative Optimization Method of Flight Slots Considering Fairness Among Airports
Authors: Tan Xianghua , Wang Shasha , Zeng Weili , Quan Zhibin
Published: September 2022

With the rapid development of civil aviation transportation, an increasing number of airport groups are formed. However, the existing literature on fairness mostly focuses on the fairness among airlines. There is no research on the realization of scheduling fairness among airports with overlapping resources in the airport group. The goal of this paper is to comprehensively consider efficiency and fairness in slot scheduling, where fairness should include both interairline and interairport fairness. Subsequently, we developed a collaborative optimization model for airport group that takes into account the above three objectives and then uses the ε-constraint method to solve it. In addition to considering the basic operational constraints of the airport, the model also sets different adjustment boundaries to achieve the scheduling priorities specified by IATA. Applying the model to the Yangtze River Delta airport group, the results show that improved flight schedules can significantly reduce flight congestion, and a relatively fair scheduling result can be obtained by weighing airlines’ fairness and airports’ fairness. The model can improve the transparency of slot scheduling decisions and can be used as an auxiliary tool to help make slot scheduling decisions.
Fludarabine/Cyclophosphamide Conditioning Regimen in Aplastic Anemia Patients Receiving Matched-Sibling Donor Transplant Is Non-inferior to ATG/Cyclophosphamide: A Single-Center Experience from Pakistan
Authors: Zaidi Uzma , Fatima Mushkbar , Samad Shafaq Abdul , Shafique Kashif , Waseem Hira Fatima , Farzana Tasneem , Shamsi Tahir Sultan
Published: September 2022

The successful outcome of allogeneic hematopoietic stem cell transplant (HSCT) in aplastic anemia patients is driven by suitable donor selection, appropriate conditioning regimen, early intervention, and optimal supportive care after transplant. Pakistan, being a developing country, faces grave economic challenges due to meager health care budget; therefore, cost constraints remain the foremost impediment in optimizing transplant facilities for socioeconomically deprived patients. We conducted a single-center retrospective analysis of aplastic anemia patients (

N
=
130

), who received matched sibling donor transplants from 2011 to 2019, treated with either fludarabine/cyclophosphamide (Flu/Cy) or antithymocyte globulin/cyclophosphamide (ATG/CY) conditioning regimen. Median age was 16 years (IQR, 11-20), and it ranged from 3 to 48 years. The median time from diagnosis to transplant was 3 months (IQR, 2 to 4), and it ranged from 1 to 8 months. The estimated overall survival (OS), relapse-free survival (RFS), and GvHD-free survival (GFS) were found to be 69.0%, 66.7%, and 64.3% in the ATG/Cy group while 76.1%, 72.7%, and 62.5% in the Flu/Cy group, respectively, after a median follow-up of 30 months (IQR, 8 to 55), and it ranged from 0 to 98 months for the study groups. The Flu/Cy regimen was well tolerated and was not associated with increased risk of GvHD. Hence, it may be an appropriate alternative conditioning regimen for developing countries with limited health care resources.
Differentially Expressed Genes Study Shown Potential for BCG Stimulation in Reducing the Severity of COVID-19
Authors: Pratomo Irandi Putra , Tedjo Aryo , Noor Dimas R , Kusuma Wisnu Ananta
Published: September 2022

The incidence of COVID-19 infection and death is known to be lower in tuberculosis (TB) endemic countries than in nonendemic countries. The Bacillus Calmette-Guerin (BCG) vaccination, which is commonly administered in TB endemic countries, was previously reported to have a nonspecific protective effect against several infections, including COVID-19. In this study, we used a differentially expressed genes (DEG) approach to analyze the genes modulated by BCG vaccination and COVID-19 infection. The Gene Expression Omnibus (GEO) database was used to select a COVID-19 gene expression data set with GSE164805, GSE14408, and GSE58636, and DEG in each data set were identified using the GEO2R online tools and selected using the adjusted

p

value (padj) 0.05 criteria. The protein-protein interaction (PPI) network was constructed from DEGs with the same trend of expression (upregulation or downregulation) using STRING version 11. The PPI network was performed by using the highest confidence number (0.9). DEGs that have a high-trust network were collected and functional cluster analysis of biological processes from Gene Ontology (GO), pathway analysis from the Human KEGG pathway, and COVID-19-related gene analysis was carried out using the Enrichr database. We found that either BCG or tuberculin increased the expression of several genes related to hyperinflammation, such as CCL3, CCL4, CSF2, IL1B, and LTA. In severe COVID-19, these genes were downregulated. This leads to the hypothesis that revaccination may have a protective effect against the severity of COVID-19 by reducing the hyperinflammatory status.
Audit Committee Disclosure Tone and Corporate Violations in China: Textual Analysis
Authors: Guo Pingping
Published: September 2022

This study employs text analysis to examine the effect of audit committee reporting, measured by the tone of audit committee disclosures, in predicting the likelihood and frequency of violations. In total, 1,349 companies listed on the Chinese Shanghai Stock Exchange were assessed for this paper from 2014 to 2019. The results suggest that the more active the audit committee’s disclosure tone, the lower the probability and frequency of violations. In addition, the results are robust after controlling for endogenous issues. The further analysis shows that better readability of the text aggravates the negative relationship between the tone of text disclosure and violations. The path analyses show that audit committees predict corporate violations by affecting internal control quality and auditors’ opinions. The results suggest that disclosure of audit committee reporting improves transparency in the activities of audit committees, which plays a positive governance role in indicating corporate violations. Meanwhile, the study provides a reference for further reform of audit committee information disclosure.
Profiles of Acetylation Regulation Genes Contribute to Malignant Progression and Have a Clinical Prognostic Impact on Liver Cancer
Authors: Zhu Wei , Zhang Xiaofen , Yu Mengli , Zhang Yu , Li Shaowei , Yu Chaohui
Published: September 2022

Background. Several studies have demonstrated that acetylation was involved in the process of liver cancer. This study aimed to establish an effective predictive prognostic model using acetylation regulation genes in liver cancer. Methods. Two datasets were downloaded from the Cancer Genome Atlas (TCGA) database and International Cancer Genome Consortium (ICGC) database. Differentially expressed acetylation regulation genes were identified in the TCGA-LIHC dataset, and then, Gene Ontology (GO) functional annotation analysis was used to investigate the molecular mechanism. After grouping the patients into clusters based on consensus clustering, we explored the correlation between clusters and clinical characteristics. A risk model was constructed by the least absolute shrinkage and selection operator (LASSO) regression analysis to calculate the risk score. Patients were divided into high-risk and low-risk groups according to the risk score using the acetylation regulation genes. Data downloaded from LIRI-JP were used for external validation. Univariate and multivariate Cox regressions were performed to identify independent risk factors. A prognostic nomogram was constructed according to the TCGA-LIHC dataset. The effect of HDAC11 expression on the proliferation and migration of liver cancer was detected by the CCK-8 method and cell scratch test, respectively. Results. Eleven of 29 acetylation regulation genes were identified as upregulated differentially expressed genes. Go enrichment analysis showed that they were involved in “protein and histone deacylation and deacetylation.” Patients were categorized into two clusters according to the expression of 29 acetylation regulation genes. Compared with cluster 2, cluster 1 correlated with shorter overall survival (OS) and higher expression. Stage, T stage, grade, gender, age, and follow-up state were significantly different between two clusters. Pathways involved in DNA repair were significantly enriched in cluster 1. The risk score was calculated by HDAC1, HDAC2, HDAC4, HDAC11, HAT1, and SIRT6. Patients in the high-risk group had a worse prognosis in both datasets. Risk score was not only an independent prognostic marker but could also predict the clinicopathological features of liver cancer. A nomogram containing risk score, T stage, and M stage was built to predict overall survival. After transfection with HDAC11 overexpression plasmid, the proliferation ability of HepG2 cells increased, while the migration ability had no change. Conclusions. Our findings suggested that acetylation regulation genes contribute to malignant progression and have a clinical prognostic impact on liver cancer.
Problems and Countermeasures of Coal Mine Engineering Management under the Background of Big Data and IoT
Authors: Yang Yang
Published: September 2022

In the context of the era of big data and the Internet of Things, there are certain engineering management problems in the development of my country’s coal mine enterprise engineering management. Based on the research content of domestic coal enterprises in the construction and engineering management of production and engineering, comprehensive research and analysis of problems at different stages of different stages, optimizing the improvement of coal mine engineering management levels, were done. In the process of various factors that affect the safety of coal mine safety production and the high-quality development of enterprises, this article focuses on the problems and hidden dangers affecting the management of coal mine engineering management and focuses on improving measures to improve the safety of coal mines and improve corporate safety benefits. After conducting research, an evaluation and analysis model, a comprehensive research on the various factors that affect the safety of coal mine, conducted a comprehensive research and conducted research on factors and measures affecting engineering management. A comprehensive data analysis model and factor management model based on coal mine engineering management are constructed. In the context of big data and the Internet of Things, targeted evaluation and analysis based on different security risks and engineering management issues were proposed with feasible opinions and measures.
Prelacrimal Window Approach in the Management of Odontogenic Maxillary Sinusitis from Dental Foreign Body
Authors: Ananthapadmanabhan Saikrishna , Noor Anthony , Sritharan Niranjan
Published: September 2022

The floor of the maxillary sinus is partly formed by the alveolar process of the maxilla, and this anatomical relationship forms an interface for collaboration between rhinologists, maxillofacial and dental surgeons, and dentists. Odontogenic maxillary sinusitis (ODMS) occurs secondary to infectious processes of the maxillary molar and premolar teeth or following complications from dental procedures. Extruded dental foreign bodies within the sinus can cause chronic mucosal irritation leading to mucociliary dysfunction and sinogenic symptoms. Anteriorly placed foreign bodies are difficult to access via the conventional endoscopic maxillary antrostomy. Endoscopic approaches to access the anterior maxillary sinus involve extended resection of the medial maxillary wall, potentially with the removal of the inferior turbinate and nasolacrimal duct mobilisation. The prelacrimal window approach (PLWA) is a favourable modification that provides excellent visualisation of the maxillary sinus with minimal tissue resection and displacement. We describe the case of an extruded distobuccal 27 tooth root into the anterior maxillary sinus, presenting with acute sinusitis. The patient was successfully managed via a PLWA. This case represents the importance of recognition of ODMS with early referral to otorhinolaryngologists.
[Retracted] Influence of Short Video Application on College Students’ Mental Health under Big Data Monitoring Environment
Authors: Wen Jinsong , Wei Xike
Published: September 2022

Short videos are increasingly being consumed by college students as crucial content in the age of big data since they are a perfect fit for this medium. Therefore, college students should place a high value on the utilization of short movies. In this study, a neural network is utilized to create a mental health prediction model for college students. The neural network is trained using its self‐learning capability to map out the relationships between different elements and mental health. The enhanced algorithm minimizes the production of candidate item sets to some amount, as well as the algorithm’s time and space requirements, significantly decreasing the initialization time of the transaction set. According to the research, the test sample’s pattern recognition accuracy was 81.29%, whereas the training sample’s accuracy for pattern recognition was 83.37%. The analysis’s finding is that the enhanced mining algorithm offers a fresh approach to educating college students about their health.
Evaluation Method of Music Teaching Effect Based on Fusion of Deep Neural Network under the Background of Big Data
Authors: Fan Yifan
Published: September 2022

Music is an art course that is different from traditional subjects. It not only needs to teach basic music knowledge but also needs to show the timbre contained in music itself, the form of music creation, or the effects expressed by music. The teaching effect evaluation model for traditional subjects can no longer be applied to the teaching effect evaluation of music subjects. If the traditional subject teaching effect evaluation model is used to evaluate the music subject teaching effect, it will easily lead to the inaccuracy of the effect evaluation. Because there is a strong subjectivity in the evaluation of the teaching effect of music subjects, this study combines deep neural network technology to study the feasibility and accuracy of the convolutional neural network (CNN) and long short‐term memory neural network (LSTM) method in the evaluation of music teaching effects. It mainly reflects the evaluation under the three characteristics of music basic knowledge, music expression effect, and music innovation effect. The research results show that the CNN and LSTM methods can better extract the three features in the evaluation of music teaching effect, and the maximum prediction error is only 2.23%. Hybrid CNN‐LSTM with LSTM neural network has higher accuracy in predicting music teaching effect than single neural network technique. The linear correlation coefficients also all exceeded 0.955.
Efficient Echocardiographic Image Segmentation
Authors: Khan Muhammad Salim , Saqib Laiba , Shah Zahir , Ali Haider , Alshehri Ahmad
Published: September 2022

In this paper, we propose an improved region-based active contour method based on the development of a novel signed pressure force (SPF) function. To obtain the required boundary, the method is applied to the echocardiographic images. Ultrasound image segmentation is particularly challenging due to speckle noise, low contrast, and intensity inhomogeneity. Because of these factors, segmenting echocardiographic images is a difficult task. All of these issues are addressed by the proposed model, which detects the true boundary without any noise. The proposed model is more robust, effective, and accurate when applied to images with weak edges and inhomogeneous intensity.
A Star Pattern Recognition Algorithm Based on the Radial Companion-Circumferential Feature
Authors: Zhao Weiwei , Li Baoqiang , Li Xiuyi
Published: September 2022

Attitude measurement is an important core technology of vehicle flight. It is of great significance to ensure the vehicle’s accurate orbit entry and orbit change, high-performance flight, reliable ground communication, high-precision ground observation, and successful completion of various space missions. Star sensor is the core component to realize an autonomous attitude measurement of the vehicle. Autonomous star map recognition is a key technology in star sensor technology, and it is also the focus and difficulty of research. When the star sensor enters the initial attitude acquisition mode, according to the algorithm, the star sensor can quickly obtain the initial attitude and enter the normal working mode. This paper proposes a star pattern recognition algorithm based on the radial companion-circumferential feature with a noise compensation code to address the low recognition rate caused by position noise in the process of constructing star patterns in the traditional star pattern recognition algorithm based on the radial feature. In order to solve the problem of slow matching search speed, a maximum matching number algorithm has been innovatively adopted, which can improve the search efficiency in the process of star pattern recognition. Thus, the capacity of the star pattern recognition feature library is effectively reduced, and the stability and recognition rate of the improved star pattern recognition algorithm are further improved. The improved star pattern recognition algorithm first establishes radial and circumferential feature vectors based on the bit vector, then adds the noise compensation code according to the companion star position error, then modifies the radial and circumferential feature vectors, and finally calculates the minimum similarity difference between the feature vector of the star pattern observed by the star sensor and the feature vector of the navigation star in the feature library to obtain the unique star pattern recognition result. The identification star database adopts the maximum matching number algorithm, which can improve the search efficiency, reduce the amount of redundant matching, and shorten the matching time. The simulation results show that even in the presence of star position and magnitude noise, the improved star pattern recognition algorithm with radial companion-circumferential feature maintains a high recognition rate of more than 97 percent, demonstrating that the algorithm’s robustness is superior to other algorithms. The revised method described in this work outperforms the classic triangle algorithm and the radial feature star pattern recognition algorithm without compensation code in terms of algorithm robustness, recognition success rate, and recognition time.
Population Pharmacokinetics of Enteric-Coated Mycophenolate Sodium in Children after Renal Transplantation and Initial Dosage Recommendation Based on Body Surface Area
Authors: Wang Guangfei , Ye Qiaofeng , Huang Yidie , Xu Hong , Li Zhiping
Published: September 2022

Objective. Enteric-coated mycophenolate sodium (EC-MPS) is widely used in renal transplant recipients. There is a lack of study on the pharmacokinetics of this drug in children. This study is aimed at developing a population pharmacokinetic model of mycophenolic acid in children who were treated with EC-MPS after renal transplantation and to recommend initial dosage. Methods. Pediatric patients who had undergone renal transplantation and received EC-MPS were included. Data on demographic characteristics, biochemical tests, blood routine examinations, mycophenolic acid plasma concentrations, dosing amount and frequency of EC-MPS, and coadministered medications were retrospective collected from June 2018 to August 2019. Nonlinear mixed effect modeling methods were adopted to develop a population pharmacokinetic model with the data above. Additional data from September 2019 to July 2020 were used to validate the model. Simulations under different dosage regimen were conducted to evaluate the percentage of target attainment (PTA, AUC0-12h 30–60 mg·h/L). Results. A total of 96 pediatric patients aged at 13.3 (range 4.3–18.0) years were included in the modeling group. Data from 32 patients aged at 13.0 (range 3.6–18.3) years were used to validate the model. A one-compartment model with a double extravascular absorption was developed. Body surface area (BSA) was added as a covariate. Simulations showed that for different dosing regimens, the highest percentage of target attainment is around 50%. The best dosing regimen is 180 mg every 48 hours for patients with BSA of 0.22–0.46 m2, 180 mg every 24 hours with BSA of 0.47–0.67 m2, 180 mg every 24 hours with BSA of 0.68–0.96 m2, 360 mg every 24 hours with BSA of 0.97–1.18 m2, 540 mg every 24 hours with BSA of 1.19–1.58 m2, and 360 mg every 12 hours with BSA of 1.59–2.03 m2. Conclusion. BSA could affect the area under curve of mycophenolic acid with the administration of EC-MPS. Considering the inflexibility of the dosage form, future development of smaller amount per tablet suitable for younger children with

BSA
<
1.19
 

m

2

is warranted.
Variation in Surface Solar Radiation and the Influencing Factors in Xinjiang, Northwestern China
Authors: Jin Lili , Li Zhenjie , He Qing , Abbas Alim
Published: September 2022

The variation of solar radiation has a profound effect on the surface energy balance and hydrological cycle. Although the relationship between solar radiation variation and its influencing factors has been extensively studied, they are seldom used in Xinjiang, the largest province in China. In this study, we investigated the spatial distribution and temporal variation in global radiation (Eg), water vapor content (WVC), aerosol optical depth (AOD), total cloud cover (TCC), and low-level cloud cover (LCC) in Xinjiang, northwestern China, between 1961 and 2015. The annual average Eg reported at all stations was 5126.3–6252.8 MJ·m−2 with a mean of 5672 MJ·m−2. The highest annual mean Eg of 6252.8 MJ·m−2 occurred in Hami, eastern Xinjiang, whereas the lowest annual mean Eg of 5126.3 MJ·m−2 occurred in Urumqi, northern Xinjiang. The annual Eg variation was mainly affected by WVC, AOD, TCC, and LCC. Decreases in annual, spring, summer, autumn, and winter Eg trends were recorded in Xinjiang at rates of −33.88 × 10−2, −1.92 × 10−2, −1.89 × 10−2, −3.47 × 10−2, and −3.56 × 10−2 MJ·m−2·decade−1, respectively, with decreasing ratios of 9.43%, 5.85%, 0.14%, 8%, and 20.55%, respectively. Increasing trends in annual WVC, AOD, TCC, and LCC were noted in Xinjiang at rates of 7.12 × 10−5 mm·decade−1, 2.74 × 10−6 decade−1, 8.77 × 10−5 % decade−1, and 5.73 × 10−5% decade−1, respectively. In addition, increasing trends in the annual Eg at Yining and Yanqi stations were observed. The Eg spatial distribution was complex in Xinjiang at the stations observed in this study, which were divided into six groups. Eg at group 1 showed an increasing trend associated with decreases in the WVC and TCC, whereas decreases in Eg were observed at groups 2–6, which could have been influenced by increases in AOD, TCC, and LCC.
Effect of Integrative Chinese and Western Medicine Therapy on Long-Term Clinical Outcomes in Patients with Heart Failure: A Real-World Study Including 394 Patients
Authors: Wang Zihan , Zhang Jin , Zhang Gaoyu , Lan Tianyi , Sun Ziyi , Lu Xiaoyan , Huang Li , Li Lin
Published: September 2022

Objective. To explore the effect of integrative Chinese and Western medicine therapy on the clinical outcomes of patients with heart failure. Methods. This is a retrospective cohort study in the real world. Patients were divided into “conventional therapy” and “integrative therapy” groups according to treatment modality. The occurrence of cardiovascular events (CVE) was determined during follow-up. Survival curves were plotted, and survival analysis was performed using Cox regression to report survival in both groups. Further subgroup tests were performed as sensitivity analyses. A Markov model was constructed to predict patients with distant heart failure conditions based on real follow-up data. Results. Based on diagnostic criteria, 394 patients with heart failure were included. The integrative therapy group had (N = 181) older patients (

P
=
0.005

), higher proportion of renal insufficiency (

P
<
0.001

), higher creatinine (

P
=
0.040

), hypersensitive C-reactive protein (

P
=
0.007

), N-terminal pro-B type natriuretic peptide (

P
=
0.019

) levels, more patients in cardiac function class IV (

P
=
0.004

), and longer hospital days (

P
=
0.003

) than the conventional therapy group (N = 213). Survival was better in the integrative therapy group than in the conventional therapy group (log-rank

P
<
0.001

). Multifactorial Cox regression identified “conventional therapy” or “integrative therapy” as an independent factor affecting the risk of CVE in patients with heart failure, with the risk of CVE being lower in the integrative therapy group (HR = 0.322, 95% CI = 0.185–0.561). A subgroup analysis found no significant association between therapy modality and risk of CVE in older patients (age ≥65 years,

P
=
0.210

) and those who had renal insufficiency (

P
=
0.062

). The Markov model predicted better cardiac function in the integrative therapy group than in the conventional therapy group at all time points (all

P
<
0.001

). Conclusion. In patients with heart failure, integrative therapy of Chinese and Western medicine had better long-term outcomes than conventional therapy. However, patients with advanced age and renal insufficiency had no significant advantage. Trials Registration. This trial is registered with China Clinical Trials Registry, ChiCTR2100050927, registered 8 September 2021, https://www.chictr.org.cn/showproj.aspx?proj=133451.
Application of Composite Nano-Bone Transplantation and Massage Exercise Rehabilitation Training in Patients Undergoing Limb Replantation
Authors: Tang Yan , Fu Junxia
Published: September 2022

With the great stride forward of socialist progress, various medical treatment measures have also made a leap forward in development, providing a deeper guarantee for people’s life safety. At the same time, the research field of nanotechnology has gradually developed in the medical field, which plays an important role in the development of medicine, and massage exercise rehabilitation training also provides convenience for patients’ recuperation. The purpose of this study is to study the application of composite NanoBone transplantation in patients with limb replantation and the application of massage exercise rehabilitation training in patients with limb replantation. The methods used in this paper are: consulting the literature to understand the composite NanoBone transplantation technology and massage exercise rehabilitation training methods, interviewing the patients and attending doctors, and asking about the selection method of experiment and questionnaire used in the paper, so as to carry out the questionnaire survey. The treatment group and the control group were set up to analyze the results. The results showed that there were no significant differences in T lymphocyte subsets, serum complement, and circulating immune complex in the replantation of amputated limbs. Combined with the clinical manifestations and pathological results, early rejection occurred, and the body temperature of the patients increased after clinical treatment; The characteristics of massage are not practical, the course of treatment is short, the effect is fast, the clinical operation is simple, easy to grasp, and has high clinical application and promotion value. The final test results showed that: comparing the two groups of patients before treatment, the VAS scores were 23% and 21%, respectively, and the treatment group scores were 23% and 21%, respectively. After treatment, the VAS scores of the test group and the control group were 29 % and 27%, respectively. The treatment group scored 2% higher than the control group. From this, it can be concluded that massage is better than traditional massage, and massage exercise has great application prospects in clinical practice.
Magnoflorine Attenuates Cerebral Ischemia-Induced Neuronal Injury via Autophagy/Sirt1/AMPK Signaling Pathway
Authors: Liang Hai , Chang Xin , Xia Runan , Wu Wei , Guo Hongju , Yang Miao
Published: September 2022

Ischemic stroke is a common cause of permanent disability worldwide. Magnoflorine has been discovered to have good antioxidation, immune regulation, and cardiovascular system protection functions. However, whether magnoflorine treatment protects against cerebral ischemic stroke and the mechanism of such protection remains unknown. Here, we investigated the effect of magnoflorine on the development of ischemic stroke disorder in rats. A middle cerebral artery occlusion (MCAO) model followed by 24 h reperfusion after 90 min ischemia was used. The rats were treated with magnoflorine (10 mg/kg or 20 mg/kg) for 15 consecutive days. The neurological deficit scores, cerebral infarct volume, and brain water content were measured. The neuronal density was determined using Nissl and NeuN staining. The oxidative stress levels were determined using commercial kits. Immunofluorescence staining of LC3 and western blot assay for LC3 and p62 were used to assess autophagy. Magnoflorine treatment significantly reduced the cerebral infarct volume and brain water content and improved the neurological deficit scores in the rat MCAO model. In addition, magnoflorine ameliorated neuronal injury and neuron density in the cortex of rats. Magnoflorine also prevented oxidative damage following ischemia, reflected by the decrement of nitric oxide and malondialdehyde and the increase of glutathione (GSH) and GSH peroxidase. Moreover, the fluorescence intensity of LC3 and the ratio of LC3-II to LC3-I were remarkably downregulated in ischemic rat administration of magnoflorine. Finally, the expression levels of p62, sirtuin 1 (Sirt1), and phosphorylated-adenosine monophosphate-activated protein kinase (AMPK) were upregulated with magnoflorine. Magnoflorine attenuated the cerebral ischemia-induced neuronal damage, which was possibly associated with antioxidative stress, suppression of autophagy, and activation of the Sirt1/AMPK pathway in the rats.
Exercise on Striatal Dopamine Level and Anxiety-Like Behavior in Male Rats after 2-VO Cerebral Ischemia
Authors: Fan Yongzhao , Kong Xiaoyang , Liu Kun , Wu Hao
Published: September 2022

The purpose of this study was to discuss the effect of voluntary wheel running on striatal dopamine levels and anxiety-like behavior in rats with global cerebral ischemia. The male Sprague-Dawley rats were signed on in this study and randomly divided into following 4 groups: Control group (C group), Sham group (S group), ischemia group (I group), and 3 weeks physical exercise before ischemia group (3RI group). The rats in the 3RI group were placed in a voluntary running wheel for three weeks to exercise. Then, the rats in I and 3RI groups received bilateral carotid artery ligation (2-VO) operation. The C and S group did not perform voluntary running exercise and the bilateral common carotid arteries of S group were exposed without ligation. In vivo microdialysis was used in conjunction with high performance liquid chromatography (HPLC) and electrochemical detection to ascertain the level of dopamine in the striatum. Elevated plus maze (EPM) and open field (OF) were used to test anxiety status at 24 hours and 7days after 2-VO cerebral ischemia. Meanwhile, gait and motor coordination evaluations were carried out to eliminate the influence of non-specific motor problems. The results indicated that cerebral ischemia instigate the increase of striatal dopamine in I group rats during acute cerebral ischemia. A 3-week voluntary wheel running significantly enhances the striatal dopamine before ischemia and obstructs a further increase of dopamine during acute cerebral ischemia in 3RI group rats. At 24 hours after ischemia, striatal dopamine returned to pre-ischemic levels in 3RI group. Striatal dopamine in I group were less than pre-ischemic levels at 7 days. Behavioral data indicated that 3-week voluntary wheel running promoted recovery of anxiety-like behavior and gait were not affected by 2-VO cerebral ischemia at 24 hours post-ischemia rats. Therefore, it can be concluded that 3-week physical exercise significantly increased the striatal dopamine and improved anxiety-like behavior by inhibiting the increase of dopamine during acute cerebral ischemia and suppressing the decrease of dopamine after 24 hours and 7 days cerebral ischemia.
lncRNAs: Key Regulators of Signaling Pathways in Tumor Glycolysis
Authors: Wen Li , Tan Chang , Ma Shuai , Li Xinzhi
Published: September 2022

In response to overstimulation of growth factor signaling, tumor cells can reprogram their metabolism to preferentially utilize and metabolize glucose to lactate even in the presence of abundant oxygen, which is termed the “Warburg effect” or aerobic glycolysis. Long noncoding RNAs (lncRNAs) are a group of transcripts longer than 200 nucleotides and do not encode proteins. Accumulating evidence suggests that lncRNAs can affect aerobic glycolysis through multiple mechanisms, including the regulation of glycolytic transporters and key rate-limiting enzymes. In addition, maladjusted signaling pathways are critical for glycolysis. Therefore, this article mainly reviews the lncRNAs involved in the regulation of tumor glycolysis key signal pathways in recent years and provides an in-depth understanding of the role of differentially expressed lncRNAs in the key signal pathways of glucose metabolism, which may help to provide new therapeutic targets and new diagnostic and prognostic markers for human cancer.
Antibiotic Use among Patients Visiting Primary Hospitals in Northwest Ethiopia: A Multicenter Cross-Sectional Survey
Authors: Kassie Netere Adeladlew , Sendekie Ashenafi Kibret
Published: September 2022

Background. Antimicrobial medications are becoming ineffective because of the surge in antimicrobial resistance. Poor knowledge and inappropriate beliefs combined with the misuse of antibiotics may be common in the community and public health institutions. This study assessed the knowledge, belief, and antibiotic use practice among patients visiting rural hospitals in Northwest Ethiopia. Methods. A facility-based multicenter cross-sectional survey was conducted in Northwest Ethiopian primary hospitals from August to September 2020. The data are presented as frequencies and means (±SD) of our findings. The independent samples T test and One-Way Analysis of Variance (ANOVA) were used to explore the mean knowledge differences of antibiotic use among respondents. A

p

value of <0.05 with 95% CI was considered significant. Results. More than half of the participants (57.2%) were males, and the mean age was 34.8 ± 13.4 years. The mean (±SD) knowledge score of the respondents was 3.69 (±1.7) (range: 0 to 10), and the majority (69.7%) had poor knowledge. The mean (±SD) belief score (acceptance towards antibiotic use) of the respondents was 20.08 ± 4 (range: 7 to 35) and most (70.1%) of the respondents had moderate levels of perception regarding antibiotic use. The majority (69.5%) of respondents took antibiotics over the past year. Participants practiced inappropriate uses of antibiotics such as medication discontinuation (49.5%), keeping unused antibiotics for future use (35.5%), and sharing medications with/from others (30.1%). Diploma holder participants had significantly higher mean knowledge scores on antibiotic use than those who were unable to read and write (

p
=
0.047

). Similarly, students had higher mean knowledge scores compared with farmers (

p
=
0.024

), merchants (

p
=
0.031

), and housewives (

p
=
0.047

). Conclusion. Our study showed a widespread misuse of antibiotics in Northwest Ethiopia. Malpractice such as dose interrupting, sharing of antibiotics for/from the others, and keeping leftover drugs for future use were common among the respondents. These findings suggest that a greater effort is required in public education related to proper and safe uses of antibiotics and that greater efforts are needed to enforce the control of antibiotic use to overcome the emergence of antibiotic resistance.
Legal Management of Network Information Security Based on Embedded Real-Time Task Processing
Authors: Bai Heju
Published: September 2022

Nowadays, with the continuous advancement of globalization, Internet technology has made an unprecedented leap, which makes the amount of data on the Internet grow exponentially. Data are not only diverse and numerous, but also spread fast and of high value. Therefore, the Internet is entering the era of big data. However, the openness of information network itself, the immaturity of technology, and the imperfection of network security law make it vulnerable to network attacks, resulting in the disclosure of network users’ information and the theft of their privacy data. The formulation of network information security law to protect network information security is of great significance for the development of multidomain network information security under the background of big data and ensuring users’ online security. Firstly, this article introduces the basic information of embedded real-time task system, analyzes the factors of real-time Linux based on kernel preemption, interrupts mechanism and policy planning, and summarizes the process of some embedded real-time task processing. Integrating legal management, this article puts forward three elements of network security control mechanism, namely, network control personnel, environment, and technology. Taking these three elements as the starting point of the construction of information security control mechanism, this article provides the steps of using evaluation model to evaluate network information security. Finally, it identifies the problems existing in the legal management of network information security and formulates the corresponding strategies. By combining embedded technology and real-time task processing technology, this study applies it to the field of network information security legal management, to promote its development.