bluuebunny/crossref_metadata_2025 huggingface dataset:
Quality initiative to improve emergency department sepsis bundle compliance through utilisation of an electronic health record tool
Authors: Warstadt Nicholus Michael , Caldwell J Reed , Tang Nicole , Mandola Staci , Jamin Catherine , Dahn Cassidy
Published: January 2022

Introduction

Sepsis is a common cause of emergency department (ED) presentation and hospital admission, accounting for a disproportionate number of deaths each year relative to its incidence. Sepsis outcomes have improved with increased recognition and treatment standards promoted by the Surviving Sepsis Campaign. Due to delay in recognition and other barriers, sepsis bundle compliance remains low nationally. We hypothesised that a targeted education intervention regarding use of an electronic health record (EHR) tool for identification and management of sepsis would lead to increased EHR tool utilisation and increased sepsis bundle compliance.

Methods

We created a multidisciplinary quality improvement team to provide training and feedback on EHR tool utilisation within our ED. A prospective evaluation of the rate of EHR tool utilisation was monitored from June through December 2020. Simultaneously, we conducted two retrospective cohort studies comparing overall sepsis bundle compliance for patients when EHR tool was used versus not used. The first cohort was all patients with intention-to-treat for any sepsis severity. The second cohort of patients included adult patients with time of recognition of sepsis in the ED admitted with a diagnosis of severe sepsis or septic shock.

Results

EHR tool utilisation increased from 23.3% baseline prior to intervention to 87.2% during the study. In the intention-to-treat cohort, there was a statistically significant difference in compliance between EHR tool utilisation versus no utilisation in overall bundle compliance (p<0.001) and for several individual components: initial lactate (p=0.009), repeat lactate (p=0.001), timely antibiotics (p=0.031), blood cultures before antibiotics (p=0.001), initial fluid bolus (p<0.001) and fluid reassessment (p<0.001). In the severe sepsis and septic shock cohort, EHR tool use increased from 71.2% pre-intervention to 85.0% post-intervention (p=0.008).

Conclusion

With training, feedback and EHR optimisation, an EHR tool can be successfully integrated into current workflows and appears to increase sepsis bundle compliance.
Clinical, histological and molecular profiling of different stages of alcohol-related liver disease
Authors: Ventura-Cots Meritxell , Argemi Josepmaria , Jones Patricia D , Lackner Carolin , El Hag Mohamed , Abraldes Juan G , Alvarado Edilmar , Clemente Ana , Ravi Samhita , Alves Antonio , Alboraie Mohamed , Altamirano Jose , Barace Sergio , Bosques Francisco , Brown Robert , Caballeria Juan , Cabezas Joaquin , Carvalhana Sofia , Cortez-Pinto Helena , Costa Adilia , Degré Delphine , Fernandez-Carrillo Carlos , Ganne-Carrie Nathalie , Garcia-Tsao Guadalupe , Genesca Joan , Koskinas John , Lanthier Nicolas , Louvet Alexandre , Lozano Juan José , Lucey Michael R , Masson Steven , Mathurin Philippe , Mendez-Sanchez Nahum , Miquel Rosa , Moreno Christophe , Mounajjed Taofic , Odena Gemma , Kim Won , Sancho-Bru Pau , Warren Sands R , Szafranska Justyna , Verset Laurine , Schnabl Bern , Sempoux Christine , Shah Vijay , Shawcross Debbie Lindsay , Stauber Rudolf E , Straub Beate K , Verna Elizabeth , Tiniakos Dina , Trépo Eric , Vargas Victor , Villanueva Càndid , Woosley John T , Ziol Marianne , Mueller Sebastian , Stärkel Peter , Bataller Ramon
Published: January 2022

Objective

Alcohol-related liver disease (ALD) ranges from never-decompensated ALD (ndALD) to the life-threatening decompensated phenotype, known as alcohol-related hepatitis (AH). A multidimensional study of the clinical, histological and molecular features of these subtypes is lacking.

Design

Two large cohorts of patients were recruited in an international, observational multicentre study: a retrospective cohort of patients with ndALD (n=110) and a prospective cohort of patients with AH (n=225). Clinical, analytical, immunohistochemistry and hepatic RNA microarray analysis of both disease phenotypes were performed.

Results

Age and mean alcohol intake were similar in both groups. AH patients had greater aspartate amino transferase/alanine amino transferase ratio and lower gamma-glutamyl transferase levels than in ndALD patients. Patients with AH demonstrated profound liver failure and increased mortality. One-year mortality was 10% in ndALD and 50% in AH. Histologically, steatosis grade, ballooning and pericellular fibrosis were similar in both groups, while advanced fibrosis, Mallory-Denk bodies, bilirubinostasis, severe neutrophil infiltration and ductular reaction were more frequent among AH patients. Transcriptome analysis revealed a profound gene dysregulation within both phenotypes when compare to controls. While ndALD was characterised by deregulated expression of genes involved in matrisome and immune response, the development of AH resulted in a marked deregulation of genes involved in hepatocyte reprogramming and bile acid metabolism.

Conclusions

Despite comparable alcohol intake, AH patients presented with worse liver function compared with ndALD patients. Bilirubinostasis, severe fibrosis and ductular reaction were prominent features of AH. AH patients exhibited a more profound deregulation of gene expression compared with ndALD patients.
Reprogramming the spleen into a functioning ‘liver’ in vivo
Authors: Liu Chunyan , Wang Lintao , Xu Mengzhen , Sun Yajie , Xing Zhen , Zhang Junfeng , Wang Chunming , Dong Lei
Published: January 2022

Objective

Liver regeneration remains one of the biggest clinical challenges. Here, we aim to transform the spleen into a liver-like organ via directly reprogramming the splenic fibroblasts into hepatocytes in vivo.

Design

In the mouse spleen, the number of fibroblasts was through silica particles (SiO2) stimulation, the expanded fibroblasts were converted to hepatocytes (iHeps) by lentiviral transfection of three key transcriptional factors (Foxa3, Gata4 and Hnf1a), and the iHeps were further expanded with tumour necrosis factor-α (TNF-α) and lentivirus-mediated expression of epidermal growth factor (EGF) and hepatocyte growth factor (HGF).

Results

SiO2stimulation tripled the number of activated fibroblasts. Foxa3, Gata4 and Hnf1a converted SiO2-remodelled spleen fibroblasts into 2×106functional iHeps in one spleen. TNF-α protein and lentivirus-mediated expression of EGF and HGF further enabled the total hepatocytes to expand to 8×106per spleen. iHeps possessed hepatic functions—such as glycogen storage, lipid accumulation and drug metabolism—and performed fundamental liver functions to improve the survival rate of mice with 90% hepatectomy.

Conclusion

Direct conversion of the spleen into a liver-like organ, without cell or tissue transplantation, establishes fundamental hepatic functions in mice, suggesting its potential value for the treatment of end-stage liver diseases.
Training to proficiency in surgery using simulation: is there a moral obligation?
Authors: Toale Conor , Morris Marie , Kavanagh Dara O
Published: January 2022

A deontological approach to surgical ethics advocates that patients have the right to receive the best care that can be provided. The ‘learning curve’ in surgical skill is an observable and measurable phenomenon. Surgical training may therefore carry risk to patients. This can occur directly, through inadvertent harm, or indirectly through theatre inefficiency and associated costs. Trainee surgeon operating, however, is necessary from a utilitarian perspective, with potential risk balanced by the greater societal need to train future independent surgeons.

New technology means that the surgical learning curve could take place, at least in part, outside of the operating theatre. Simulation-based deliberate practice could be used to obtain a predetermined level of proficiency in a safe environment, followed by simulation-based assessment of operative competence. Such an approach would require an overhaul of the current training paradigm and significant investment in simulator technology. This may increasingly be viewed as necessary in light of well-discussed pressures on surgical trainees and trainers.

This article discusses the obligations to trainees, trainers and training bodies raised by simulation technology, and outlines the current arguments both against and in favour of a simulation-based training-to-proficiency model in surgery. The significant changes to the current training paradigm that would be required to implement such a model are also discussed.
Appropriately framing maternal request caesarean section
Authors: Romanis Elizabeth Chloe
Published: January 2022

In their paper, ‘How to reach trustworthy decisions for caesarean sections on maternal request: a call for beneficial power’, Eide and Bærøe present maternal request caesarean sections (MRCS) as a site of conflict in obstetrics because birthing people are seeking access to a treatment ‘without any anticipated medical benefit’. While I agree with the conclusions of their paper -that there is a need to reform the approach to MRCS counselling to ensure that the structural vulnerability of pregnant people making birth decisions is addressed—I disagree with the framing of MRCS as having ‘no anticipated medical benefit’. I argue that MRCS is often inappropriately presented as unduly risky,without supporting empirical evidence,and that MRCS is most often sought by birthing people on the basis of a clinical need. I argue that there needs to be open conversation and frank willingness to acknowledge the values that are currently underpinning the presentation of MRCS as ‘clinically unnecessary’; specifically there needs to be more discussion of where and why the benefits of MRCS that are recognised by individual birthing people are not recognised by clinicians. This is important to ensure access to MRCS for birthing people that need it.
Feasibility of one-shot dilation access in the pediatric age group
Authors: Srivastava Alok , Yadav Krishna Kumar , Singh Anjana , Srivastava Anoop Kumar , Singh Sanjeet Kumar
Published: January 2022

Objective

To compare sequential fascial dilation (SFD) versus one-shot dilation (OSD) in the pediatric patients undergoing percutaneous nephrolithotomy.

Methods

The present study is an observational study. The study subjects were divided into two groups. In group 1, renal dilation was done using the SFD and in group 2, renal dilation was done using the OSD. The amount of time exposed to radiation during access to pelvicalyceal system was estimated. Complications, stone free rates, ancillary procedures for residual stones and hospital stay were compared. Modified Clavien-Dindo classification was used for grading the complications.

Results

Radiation exposure and operative time were less in OSD group (95% confidence interval (CI) 3.068 to 14.072, and 2.565 to 12.435, p<0.005). The mean drop of hematocrit was statistically less significant in OSD group (p=0.032). In both groups, complications, stone free rate and hospital stay were statistically insignificant.

Conclusions

OSD is feasible in the children with reduced radiation exposure and shorter operative time. The outcome was similar to SFD.
Addressing barriers to evidence-based medicine in pediatric surgery: an introduction to the Canadian Association of Paediatric Surgeons Evidence-Based Resource
Authors: Grandpierre Viviane , Oltean Irina , Kaur Manvinder , Nasr Ahmed
Published: January 2022

Background

Pediatric surgical practice lags behind medicine in presence and use of evidence, primarily due to time constraints of using existing tools that are not specific to pediatric surgery, lack of sufficient patient data and unstructured pediatric surgery training methods.

Method

We developed, disseminated and tested the effectiveness of an evidence-based resource for pediatric surgeons and researchers that provides brief, informative summaries of quality-assessed systematic reviews and meta-analyses on conflicting pediatric surgery topics.

Results

Responses of 91 actively practicing surgeons who used the resource were analysed. The majority of participants found the resource useful (75%), improved their patient care (66.6%), and more than half (54.2%) found it useful in identifying research gaps. Almost all participants reported that the resource could be used as a teaching tool (93%).

Conclusion

Lack of awareness of the resource is the primary barrier to its routine use, leading to potential calls for more active dissemination worldwide. Users of the Canadian Association of Paediatric Surgeons Evidence-Based Resource find that the summaries are useful, identify research gaps, help mitigate multiple barriers to evidence-based medicine, and may improve patient care.
Bradyrhizobium japonicum FN1 produces an inhibitory substance that affects competition for nodule occupancy
Authors: Kohlmeier MacLean G. , Yudistira Harry , Ali Amanat , Oresnik Ivan J.
Published: January 2022

Bacteriocins are narrow-spectrum antibiotics of bacterial origin that can affect competition in resource-limited environments, such as the rhizosphere. Therefore, bacteriocins may be good candidates for manipulation to generate more competitive inocula for soybean. In this study, Bradyrhizobium japonicum FN1, along with other Bradyrhizobia in our culture collection, was screened for bacteriocin-like activity. Five distinct inhibitory effects were observed. FN1 genes putatively involved in bacteriocin production were computationally identified. These genes were mutagenized, and the subsequent strains were screened for loss of inhibitory activity. Mutant strain BRJ-48, with an insert in bjfn1_01204, displayed a loss of ability to inhibit an indicator strain. This loss can be complemented by the introduction of a plasmid expressing bjfn1_01204 in trans. The strain carrying the mutation did not affect competition in broth cultures but was less competitive for nodule occupancy. Annotation suggests that bjfn1_01204 encodes a carboxymuconolactone decarboxylase; however, the direct contribution of how this enzyme contributes to inhibiting the tester strain remains unknown.
Diethylamine and formic acid-based ionic liquid in selective purification process of oil distillates of various viscosities
Authors: Ibragimova M. D. , Huseynov H. J. , Hasanova R. Z.
Published: January 2022

This paper presents the results of selective purification of oil distillates with a viscosity of 7.5 mm2/s and 18 mm2/s at [Formula: see text]C, as well as a mixture of these oil distillates obtained by compounding at various ratios using an ionic liquid based on diethylamine and formic acid as an extractant acid. The conditions for the ionic liquid dearomatization of the indicated oil distillates were determined by studying the influence of various factors on the selective purification process. Many parameters are set for the objects of research. The values of physicochemical parameters determined under various conditions are presented in the tables.
RCR Report of
“A Language for Agent-Based Discrete-Event Modeling and Simulation of Linked Lives”
Authors: Marotta Romolo
Published: January 2022

The artifact evaluated in this report is relevant to the article. In fact, it allows us to run the experiments and reproduce figures, and the dependencies are documented. The process to regenerate data presented in the article completes correctly, and the results are reproducible. Additionally, the authors have uploaded their artifact on permanent repositories, which ensures a long-term retention. This article can thus receive the
Artifacts Available
,
Artifacts Evaluated–Reusable
, and
Results Reproduced
badges.
Transmission of Respiratory Viral Diseases to Health Care Workers: COVID-19 as an Example
Authors: Wilson Amanda M. , Sleeth Darrah K. , Schaefer Camie , Jones Rachael M.
Published: January 2022

Health care workers (HCWs) can acquire infectious diseases, including coronavirus disease 2019 (COVID-19), from patients. Herein, COVID-19 is used with the source–pathway–receptor framework as an example to assess evidence for the roles of aerosol transmission and indirect contact transmission in viral respiratory infectious diseases. Evidence for both routes is strong for COVID-19 and other respiratory viruses, but aerosol transmission is likely dominant for COVID-19. Key knowledge gaps about transmission processes and control strategies include the distribution of viable virus among respiratory aerosols of different sizes, the mechanisms and efficiency by which virus deposited on the facial mucous membrane moves to infection sites inside the body, and the performance of source controls such as face coverings and aerosol containment devices. To ensure that HCWs are adequately protected from infection, guidelines and regulations must be updated to reflect the evidence that respiratory viruses are transmitted via aerosols.
Study of the Water Splitting Performance of Hematite Thin Films Prepared By DC and Reactive RF Sputtering
Authors: Sinha Rochan , Lavrijsen Reinoud , van de Sanden M. C. M. , Bieberle-Hütter Anja
Published: January 2022

Metal oxides such as Fe2O3, WO3 or BiVO4 have been extensively studied as suitable materials for photoelectrochemical (PEC) water splitting [1]. However, the water splitting performance of these materials is limited by short charge carrier lifetime, high charge carrier recombination effects and slow water oxidation kinetics [2]. These material drawbacks lead to a high sensitivity of the water splitting efficiency on the synthesis technique utilised to fabricate the metal oxide films.

In this work, hematite thin films are utilised as a model system to understand the effect of variation in the synthesis process on the water splitting performance [3]. Thin films of 40-50 nm thickness are prepared by DC and reactive RF sputtering, followed by annealing at 800°C. It is observed that the DC sputtered films exhibit higher PEC performance with 40 times higher photocurrent at 1.23 V (versus RHE) and 300 mV lower onset potential, as shown in figure 1(a).

From electrochemical impedance spectroscopy (EIS) measurements we find that the DC sputtered thin films exhibit faster charge transfer kinetics as shown by the higher charge transfer rate constant for the oxygen evolution reaction (figure 1(b)). Intensity modulated photocurrent spectroscopy (IMPS) and hole scavenger measurements show that DC sputtered films also have lower surface and bulk recombination effects, respectively, as compared to the reactive RF sputtered films. The variation in the PEC properties is related to the large differences observed in the morphology, surface chemistry and optical properties of the DC and RF sputtered thin films as studied by techniques such as cross-sectional TEM, SEM, XPS and UV-Vis spectroscopy.

References

[1] M.G. Walter, E.L. Warren, J.R. McKone, S.W. Boettcher, Q. Mi, E.A. Santori, N.S. Lewis, Chemical Reviews, 110 (2010) 6446-6473.

[2] K. Rajeshwar, A. Thomas, C. Janáky, Photocatalytic Activity of Inorganic Semiconductor Surfaces: Myths, Hype, and Reality, The Journal of Physical Chemistry Letters, 6 (2015) 139-147

[3] R. Sinha, R. Lavrijsen, M. C. M. van de Sanden, A. Bieberle-Hütter, In Preparation

Figure 1
Microcirculatory and glycocalyx properties are lowered by high-salt diet but augmented by Western diet in genetically heterogeneous mice
Authors: Zheng Xiangyu , Deacon Christina , King Abigail J. , Machin Daniel R.
Published: January 2022

Many individuals in industrialized societies consume a combination of high-salt and Western diet; however, the effects of this diet on microcirculatory and glycocalyx properties are unknown. This study reveals that a high-salt diet lowers microcirculatory and glycocalyx properties, whereas a Western diet augments glycocalyx barrier function and thickness. Taken together, these data indicate that there are distinct microcirculatory adaptations to high-salt and Western diets that coincide when high-salt and Western diets are combined.
Effect of Intraarticular Injection of Platelet-Rich Plasma on Knee Osteoarthritis: A Multicenter Retrospective Clinical Study
Authors: Zhang Bin , Yu Jiasheng , Fan Daobo , Bao Lei , Feng Dongqian
Published: January 2022

This study aimed to evaluate the effect of intraarticular injection with platelet-rich plasma on knee osteoarthritis. A total of 250 patients with stages I–III osteoarthritis from December 2018 to June 2020 were included in this study. All the patients had received autologous PRP injection (3 ml) into the affected knee joint every week for totally 3 injections. The VAS score and WOMAC index were used to evaluate knee function before and at 3 days, 1 month, and 3 months after injection. A total of 250 patients were enrolled in this study, including 130 patients in the PRP group and 120 patients in the control group. The content of platelets in PRP of patients in the PRP group was 958.0 ± 283.1 × 109/L. The VAS score and WOMAC index of patients in the PRP group before treatment were not significantly different from those in the control group. At 3 days, 1 month, and 3 months after PRP treatment, the VAS score and WOMAC index of the PRP group were significantly lower than those of the control group. PRP is effective in treatment of knee osteoarthritis. The pain symptoms can be alleviated at 3 days after injection.
Thermal Transport in Radiative Nanofluids by Considering the Influence of Convective Heat Condition
Authors: Adnan  , Ashraf Waqas , Alghtani Abdulaziz H. , Khan Ilyas , Andualem M.
Published: January 2022

The analysis of nanofluid dynamics in a bounded domain attained much attention of the researchers, engineers, and industrialists. These fluids became much popular in the researcher’s community due to their broad uses regarding the heat transfer in various industries and fluid flowing in engine and in aerodynamics as well. Therefore, the analysis of Cu‐kerosene oil and Cu‐water is organized between two Riga plates with the novel effects of thermal radiations and surface convection. The problem reduced in the form of dimensionless system and then solved by employing variational iteration and variation of parameter methods. For the sake of validity, the results checked with numerical scheme and found to be excellent. Further, it is examined that the nanofluids move slowly by strengthen Cu fraction factor. The temperature of Cu‐kerosene oil and Cu‐water significantly rises due to inducing thermal radiations and surface convection. The behaviour of shear stresses is in reverse proportion with the primitive parameters, and local Nusselt number increases due to varying thermal radiations, Biot number, and fraction factor, respectively.
Detection of Aerobics Action Based on Convolutional Neural Network
Authors: Zhang Siyu
Published: January 2022

To further improve the accuracy of aerobics action detection, a method of aerobics action detection based on improving multiscale characteristics is proposed. In this method, based on faster R-CNN and aiming at the problems existing in faster R-CNN, the feature pyramid network (FPN) is used to extract aerobics action image features. So, the low-level semantic information in the images can be extracted, and it can be converted into high-resolution deep-level semantic information. Finally, the target detector is constructed by the above-extracted anchor points so as to realize the detection of aerobics action. The results show that the loss function of the neural network is reduced to 0.2 by using the proposed method, and the accuracy of the proposed method can reach 96.5% compared with other methods, which proves the feasibility of this study.
Analysis on the Effects of CT- and Ultrasound-Guided Percutaneous Transthoracic Needle Biopsy Combined with Serum CA125 and CEA on the Diagnosis of Lung Cancer
Authors: Wang Zhaoyin , Huang Jinbiao , Wang Minke , Bi Weixu , Fan Tianbing
Published: January 2022

The number of patients with lung cancer is difficultly diagnosed in the early stage. The purpose of the study was to investigate the effects of CT- and ultrasound-guided percutaneous transthoracic needle biopsy combined with serum CA125 and CEA on the diagnosis of lung cancer. 120 patients with suspected lung cancer admitted to our hospital from January 2019 to January 2020 were selected and divided into an ultrasound group (n = 60) and CT group (n = 60), according to different percutaneous transthoracic needle biopsy modalities. All patients received serum tumor markers detection, so as to compare the CT- and ultrasound-guided percutaneous transthoracic needle biopsy results and pathology results, levels of serum tumor markers among all patients and the patients with different lung cancer types, and diagnostic efficacy of tumor markers, as well as complication rate (CR) in patients. The sensitivity and specificity of ultrasound-guided percutaneous transthoracic needle biopsy were 0.880 and 0.800, respectively, while those of CT-guided percutaneous transthoracic needle biopsy were 0.909 and 0.625, respectively; the CA125 and CEA levels in the lung cancer group were higher than those in the benign group (

P
<
0.001

); the CA125 and CEA levels of the patients with adenocarcinoma were higher than those with squamous carcinoma, and the CEA levels of the patients with small-cell carcinoma were lower than those with adenocarcinoma (

P
<
0.05

); the sensitivity, specificity, and Youden indexes of CA125 were 0.638, 0.833, and 0.471, respectively, while those of CEA were 0.766, 0.778, and 0.544, respectively; there were no significant differences in CR between the two groups (

P
>
0.05

). CT- and ultrasound-guided percutaneous transthoracic needle biopsy is a safe and feasible diagnostic modality for lung cancer, and its combination with serum CA125 and CEA can significantly improve the accuracy of the detection results, which is worthy of promotion and application in clinical practice.
Optimization and Preliminary Physicochemical Characterization of Pectin Extraction from Watermelon Rind (Citrullus lanatus) with Citric Acid
Authors: Pérez José , Gómez Karina , Vega Lorena
Published: January 2022

Watermelon rind was used for the pectin extraction with citric acid as the extractant solvent. The effects of pH (2.0-3.0), extraction time (45-75 min), and liquid-solid ratio (10 : 1 to 40 : 1 mL/g) on the pectin yield, degree of esterification, methoxyl content, and anhydrouronic acid content were investigated using Box-Behnken surface response experimental design. The pH was the most significant variable for the pectin yield and properties. The responses optimized separately showed different optimal conditions for each one of the variables studied in this work. Therefore, the desirability function was used to determine the sole theoretical optimum for the highest pectin yield and highest anhydrouronic acid content, which was found to be pH of 2.0, extraction time of 62.31 min, and liquid-solid ratio of 35.07 mL/g. Under this optimal condition, the pectin yield, degree of esterification, methoxyl content, and anhydrouronic acid content were 24.30%, 73.30%, 10.45%, and 81.33%, respectively. At optimal conditions, watermelon rind pectin can be classified as high methoxyl and rapid-set pectin with high quality and high purity. Practical Applications. This study evaluated the pectin extraction from watermelon rind and carried out an optimization of multiple responses as a function of pH, time, and liquid-solid ratio to obtain the best preliminary quality parameters (pectin yield and anhydrouronic acid content). The results revealed that watermelon rind waste can be an inexpensive source to obtain good pectin quality and high purity. According to the chemical characterization and physicochemical properties studied, the extracted pectin from watermelon rind would have a high potential to be used in food industry.
E-Commerce Credit Risk Assessment Based on Fuzzy Neural Network
Authors: Wang Lina , Song Hui
Published: January 2022

In this paper, we propose a cooperative strategy-based self-organization mechanism to reconstruct the network. The mechanism includes a comprehensive evaluation algorithm and structure adjustment mechanism. The self-organization mechanism can be carried out simultaneously with the parameter optimization process. By calculating the similarity and independent contribution of normative neurons, the effectiveness of fuzzy rules can be jointly evaluated, and effective structural changes can be realized. Moreover, this mechanism should not set the threshold in advance in practical application. In order to optimize the parameters of SC-IR2FNN, we developed a parameter optimization mechanism based on an interaction strategy. The parameter optimization mechanism based on a joint strategy, namely multilayer optimization engine, can split SC-IR2FNN parameters into nonlinear and linear parameters for joint optimization. The nonlinear parameters are optimized by an advanced two-level algorithm, and the linear parameters are updated with the minimum biological multiplication. Two parameter optimization algorithms optimize nonlinear and linear parameters, reduce the computational complexity of SC-IR2FNN, and improve the learning rate. Using the principal component factor analysis method, seven representative common factors are selected to replace the original variables, which include the profitability factor of the financing enterprise, the solvency factor of the financing enterprise, the profitability factor of the core enterprise, the operation guarantee factor, and the growth ability of the financing enterprise. Factors, supply chain online degree factors, financing enterprise quality, and cooperation factors, can well measure the credit risk of online supply chains. The logistic model shows that the profitability factor of the financing company, the debt repayment factor of the financing company, and the profitability of the core company are three factors that have a significant impact on the credit risk of online supply chain finance. Based on the improved credit calculation model, we developed an online clue risk calculation. This method is based on site conditions and can evaluate credit risk. From the test results, the improved credit scoring system is the result of facing speculative and circular credit fraud and implies that the traders of risk commentators are in a leading position in each electronic device. The results show that risk analysis is effective in any case.
Data Mining of Regional Economic Analysis Based on Mobile Sensor Network Technology
Authors: You Yucong
Published: January 2022

With the continuous development of regional economy, the difference of regional economy has also aroused the attention of all walks of life. Due to the limitations of the traditional research methods, the research results are relatively simple and unable to conduct a more comprehensive analysis. The traditional methods include the following: (1) analyze the evolution of regional logistics based on the location Gini coefficient and location quotient of GIS, and reflect the situation of industrial agglomeration from the annual change curve of the location Gini coefficient; (2) use SPSS12.0 software to perform multivariate or event factors, and analyze and calculate the factor score to sum up several principal component factors; and (3) the production function analysis method is used to measure the economies of scale and agglomeration. As an extension, the relationship between the estimated total output and the agglomeration index of the factor input to measure the uniform state of the industrial distribution department is an effective measurement method for the agglomeration economy. In order to promote the sustainable development of regional economy, this paper analyzes the regional economy comprehensively based on the emerging mobile sensor network technology and data mining technology. Firstly, this paper analyzes the location technology of mobile sensor networks based on sequential Monte Carlo, selects the

C

-means clustering method which is suitable for economic large-sample clustering analysis, and constructs a complete data mining model. Then, the model is used to analyze the economic, social, natural, and educational science and technology indicators of a certain region from 2015 to 2019. The results show that the first principal component weight of economic indicators is the highest proportion of fiscal revenue, which is 0.986. This shows that the role of fiscal revenue in economic indicators is greater. The main index of urban consumption is 72.0, which is the highest. This shows that the population growth rate and the average consumption of urban households in social indicators play a greater role. The first principal component of natural index has the highest weight of pollution emission, which is 0.47, while the second principal component has the highest weight of total energy consumption, which is 0.48. This shows that the pollution emissions and total energy consumption in the natural indicators play a greater role. In the educational science and technology index, the first principal component weight is the highest, which is 0.61. This shows that the education funds play an important role in educational science and technology indicators. Therefore, the data mining model based on mobile sensor network technology can comprehensively and accurately analyze various indicators of regional economy.
Analysis of Predictive Model of Coronary Vulnerable Plaque under Hemodynamic Numerical Simulation
Authors: Song Qiang , Chen Mingwei , Shang Jin , Hu Zhi , Cai Hui
Published: January 2022

Objective. Vulnerable plaque is considered to be the cause of most clinical coronary arteries, and linear cytokines are an important factor causing plaque instability. Early prediction of vulnerable plaque is of great significance in the treatment of cardiovascular diseases. Methods. Computational fluid dynamics (CFD) was used to simulate the hemodynamics around plaques, and the serum biochemical markers in 224 patients with low-risk acute coronary syndrome (ACS) were analyzed. Vulnerable plaques were predicted according to the distribution of biochemical markers in serum. Results. CFD can accurately capture the hemodynamic characteristics around the plaque. The patient’s age, history of hyperlipidemia, apolipoprotein B (apoB), adiponectin (ADP), and sE-Selection were risk factors for vulnerable plaque. Area under curve (AUC) values corresponding to the five biochemical markers were 0.601, 0.523, 0.562, 0.519, 0.539, and the AUC value after the combination of the five indicators was 0.826. Conclusion. The combination of multiple biochemical markers to predict vulnerable plaque was of high diagnostic value, and this method was convenient and noninvasive, which was worthy of clinical promotion.
The Study of Steaming Durations and Temperatures on the Chemical Characterization, Neuroprotective, and Antioxidant Activities of Panax notoginseng
Authors: Ma Didi , Wang Jue , Yin Guo , Wang Lijun , Jin Yibao , Huang Yang , Bi Kaishun , Lu Yi , Wang Tiejie
Published: January 2022

Panax notoginseng (PN) is one of the most valuable traditional Chinese medicines and has extensive pharmacological effects. Recent studies demonstrated that PN exhibited pharmacological effect related to Alzheimer’s disease (AD). However, whether steaming process can boost its anti-AD activity is still unexplored. To fill this gap, effects of steaming durations and temperatures on the chemical characterization, neuroprotective and antioxidant activities of PN were systematically investigated in this study. HPLC fingerprint coupled with quantitative analysis demonstrated striking conversion of original saponins to less polar ones with the increase in the steaming time and temperature. In the viewpoint of anti-AD activity on neuroprotective and antioxidant effects, several steamed PN samples (110°C-6/8/10 h, 120°C ‐4/6 h samples) displayed a significant increase both in cell viability and oxygen radical absorption capacity (ORAC) values compared with the no steamed one (

P
<
0.01

or

P
<
0.005

). Steaming temperature had the greater impact on the change of chemical composition and anti-AD activity of PN. Moreover, the spectrum-effect relationship analysis revealed that the transformed saponins were partially responsible for the increased neuroprotective and antioxidant effects of steamed PN. Therefore, steamed PN could be used as a potential crude drug for prevention and treatment of AD.
Analysis of Prognostic Risk Factors of Sepsis Patients in Intensive Care Unit Based on Data Analysis
Authors: Yao Lina , Zhang Lei , Zhou Chengjie
Published: January 2022

In this paper, a data-enabled analysis of the prognostic risk factors of sepsis patients in the intensive care unit is presented. For this purpose, we have selected 220 sepsis patients, preferably those admitted to the intensive care unit for treatment in a tertiary a hospital in Tianjin from June 2018 to June 2019 and received complete data as the research objects, to explore the prognostic risk factors of sepsis patients in the intensive care unit. All patients met the SSC sepsis diagnosis guidelines and recorded the patients’ age, gender, underlying disease, and infection site. Laboratory indicators, such as blood routine, electrolytes, arterial blood gas, liver function, and renal function, were collected within 24 hours of admission. Furthermore, the corresponding specimens were cultured for pathogenic microorganisms according to the site of infection. The LAC value was measured at admission and 24 h after admission, and the 24 h lactate clearance rate was calculated. The Acute Physiological and Chronic Health Status Score II (APACHE-II) and SOFA score were calculated, which were based on the worst value of the index within 24 hours after admission. According to the prognosis of patients during hospitalization, they are divided into two groups: (i) survival group and (ii) death group. We entered all the data into Excel and used SPSS21.0 statistical software for data analysis and processing. Quantitative data are tested for normality. Quantitative data for normal distribution are expressed as mean ± standard deviation, and normal distribution and uniform variance are measured. The factors affecting the prognosis of patients with sepsis were first subjected to a single-factor logistic regression analysis, and a multiple logistic regression analysis was performed on the basis of the significance of the single-factor analysis. The results found that the prognosis of patients with sepsis in the ICU is affected by multiple factors such as underlying diseases, infectious microorganisms, comorbidities, and interventional therapy. APACHE-II score, 24 h lactate clearance rate, ARDS, and DIC are independent risk factors that affect the prognosis of ICU patients.
[Retracted] Evaluation Algorithm of Labor Legal Effectiveness for Affirmative Action against Gender Discrimination
Authors: Juan Liao
Published: January 2022

Aiming at the problems of large evaluation error and low accuracy of determining the key degree of evaluation indicators in the existing evaluation of labor legal effectiveness, this paper designs a labor legal effectiveness evaluation algorithm for affirmative action against gender discrimination. Firstly, using hits degree, the degree of gender discrimination, and social influence, enterprise practice and government supervision and management are determined as the evaluation indexes of labor legal effectiveness in this paper, and on this basis, the labor legal effectiveness evaluation system against gender discrimination is designed. Then, the judgment matrix of the evaluation index of labor legal effectiveness against gender discrimination is constructed. After normalization, the weight of the evaluation index is calculated by entropy method, which lays a foundation for subsequent research. Finally, the tree enhanced Bayesian network is used to classify the labor legal effectiveness evaluation indicators, and the correlation between the indicators is determined through the Spearman rank correlation coefficient. Finally, the labor legal effectiveness evaluation model against gender discrimination is designed through the clustering algorithm, and the labor legal effectiveness evaluation indicators against gender discrimination are input to complete the effective evaluation. The experimental results show that the error of the evaluation algorithm is small, and the accuracy of determining the key degree of the evaluation index is high.
COG133 Attenuates the Early Brain Injury Induced by Blood-Brain Barrier Disruption in Experimental Subarachnoid Hemorrhage
Authors: Zhang Yongfa , Gao Baocheng , Ouyang Jingsong , Tai Bai , Zhou Shuai
Published: January 2022

Subarachnoid hemorrhage (SAH) is a kind of severe hemorrhagic stroke, and early brain injury acted as one of the main causes of death and delayed neurological deficit in patients with subarachnoid hemorrhage. In this process, the function and structural integrity of the blood-brain barrier play an important role. In this study, we have observed whether the apolipoprotein E (apoE) mimetic peptide, COG133, can alleviate early brain injury after subarachnoid hemorrhage. For this purpose, an experimental subarachnoid hemorrhage model was constructed in mice and treated by intravenous injection of COG133 at a dosage of 1 mg/kg. Then, the function and integrity of the blood-brain barrier were detected, and the pyroptosis level of the neuron was determined. The results showed that COG133 could protect blood-brain barrier function and structure integrity, reduce early brain injury, and ameliorate neurological function after subarachnoid hemorrhage. In terms of molecular mechanism, COG133 inhibits blood-brain barrier destruction through the proinflammatory CypA-NF-κB-MMP9 pathway and reduces neuronal pyroptosis by inhibiting NLRP3 inflammasome activation. In conclusion, this study demonstrated that apoE-mimetic peptide, COG133, can play a neuroprotective role by protecting blood-brain barrier function and inhibiting brain cell pyroptosis to reduce early brain injury after subarachnoid hemorrhage.
Celecoxib-Induced Modulation of Colon Cancer CD133 Expression Occurs through AKT Inhibition and Is Monitored by 89Zr Immuno-PET
Authors: Jung Kyung-Ho , Lee Jin Hee , Kim Mina , Lee Eun Ji , Cho Young Seok , Lee Kyung-Han
Published: January 2022

We developed an immuno-PET technique that monitors modulation of tumor CD133 expression, which is required for the success of CD133-targeted therapies. Methods. Anti-CD133 antibodies were subjected to sulfhydryl moiety-specific 89Zr conjugation. 89Zr-CD133 IgG was evaluated for specific activity and radiolabel stability. Colon cancer cells underwent binding assays and Western blotting. Biodistribution and PET studies were performed in mice. Results. 89Zr-CD133 IgG showed excellent target specificity with [Formula: see text] blocking of HT29 cell binding by an excess antibody. Intravenous 89Zr-CD133 IgG followed biexponential blood clearance and showed CD133-specific uptake in HT29 tumors. 89Zr-CD133 IgG PET/CT and biodistribution studies confirmed high HT29 tumor uptake with lower activities in the blood and normal organs. In HT29 cells, celecoxib dose-dependently decreased CD133 expression and 89Zr-CD133 IgG binding that reached [Formula: see text] ([Formula: see text]) and [Formula: see text] ([Formula: see text]) of baseline levels by 50  μM, respectively. Celecoxib treatment of mice significantly suppressed tumor CD133 expression to [Formula: see text] of controls ([Formula: see text]) and reduced tumor 89Zr-CD133 IgG uptake from [Formula: see text] at baseline to [Formula: see text] ([Formula: see text]). Celecoxib-induced CD133 reduction in HT29 cells and tumors was associated with substantial suppression of AKT activation. There were also reduced HIF-1 α accumulation and I κB α/NF κB phosphorylation. Conclusion. 89Zr-CD133 IgG PET provides high-contrast tumor imaging and monitors celecoxib treatment-induced modulation of tumor CD133 expression, which was found to occur through AKT inhibition. This technique may thus be useful for screening drugs that can effectively suppress colon cancer stem cells.
The TBX1/miR-193a-3p/TGF-β2 Axis Mediates CHD by Promoting Ferroptosis
Authors: Zhong Li , Yang Huiqin , Zhu Binlu , Zhao Xueqi , Xie Meijun , Cao Meiling , Liu Chang , Zhao Danyang , Lyu Yuan , Shang Weiguang , Wang Bo , Wu Ying , Sun Xiuju , Qiu Guangrong , Fu Weineng , Jiang Hongkun
Published: January 2022

Congenital heart disease (CHD) is the most common noninfectious cause of death during the neonatal stage. T-box transcription factor 1 (TBX1) is the main genetic determinant of 22q11.2 deletion syndrome (22q11.2DS), which is a common cause of CHD. Moreover, ferroptosis is a newly discovered kind of programmed cell death. In this study, the interaction among TBX1, miR-193a-3p, and TGF-β2 was tested using quantitative reverse transcription polymerase chain reaction (qRT-PCR), Western blotting, and dual-luciferase reporter assays. TBX1 silencing was found to promote TGF-β2 messenger ribonucleic acid (mRNA) and protein expression by downregulating the miR-193a-3p levels in H9c2 cells. In addition, the TBX1/miR-193a-3p/TGF-β2 axis was found to promote ferroptosis based on assessments of lipid reactive oxygen species (ROS) levels, Fe2+ concentrations, mitochondrial ROS levels, and malondialdehyde (MDA) contents; Cell Counting Kit-8 (CCK-8) assays and transmission electron microscopy; and Western blotting analysis of glutathione peroxidase 4 (GPX4), nuclear factor erythroid 2-related factor 2 (NRF2), heme oxygenase-1 (HO-1), NADPH oxidase 4 (NOX4), and acyl-CoA synthase long-chain family member 4 (ACSL4) protein expression. The protein expression of NRF2, GPX4, HO-1, NOX4, and ACSL4 and the level of MDA in human CHD specimens were also detected. In addition, TBX1 and miR-193a-3p expression was significantly downregulated and TGF-β2 levels were high in human embryonic CHD tissues, as indicated by the H9c2 cell experiments. In summary, the TBX1/miR-193a-3p/TGF-β2 axis mediates CHD by inducing ferroptosis in cardiomyocytes. TGF-β2 may be a target gene for CHD diagnosis and treatment in children.
Graph Convolutional Networks for Cross-Modal Information Retrieval
Authors: Yang Xianben , Zhang Wei
Published: January 2022

In recent years, due to the wide application of deep learning and more modal research, the corresponding image retrieval system has gradually extended from traditional text retrieval to visual retrieval combined with images and has become the field of computer vision and natural language understanding and one of the important cross-research hotspots. This paper focuses on the research of graph convolutional networks for cross-modal information retrieval and has a general understanding of cross-modal information retrieval and the related theories of convolutional networks on the basis of literature data. Modal information retrieval is designed to combine high-level semantics with low-level visual capabilities in cross-modal information retrieval to improve the accuracy of information retrieval and then use experiments to verify the designed network model, and the result is that the model designed in this paper is more accurate than the traditional retrieval model, which is up to 90%.