bluuebunny/crossref_metadata_2025 huggingface dataset:
Mechanisms and clinical implications of endothelium-dependent vasomotor dysfunction in coronary microvasculature
Authors: Sabe Sharif A. , Feng Jun , Sellke Frank W. , Abid M. Ruhul
Published: March 2022

Coronary microvascular disease (CMD), which affects the arterioles and capillary endothelium that regulate myocardial perfusion, is an increasingly recognized source of morbidity and mortality, particularly in the setting of metabolic syndrome. The coronary endothelium plays a pivotal role in maintaining homeostasis, though factors such as diabetes, hypertension, hyperlipidemia, and obesity can contribute to endothelial injury and consequently arteriolar vasomotor dysfunction. These disturbances in the coronary microvasculature clinically manifest as diminished coronary flow reserve, which is a known independent risk factor for cardiac death, even in the absence of macrovascular atherosclerotic disease. Therefore, a growing body of literature has examined the molecular mechanisms by which coronary microvascular injury occurs at the level of the endothelium and the consequences on arteriolar vasomotor responses. This review will begin with an overview of normal coronary microvascular physiology, modalities of measuring coronary microvascular function, and clinical implications of CMD. These introductory topics will be followed by a discussion of recent advances in the understanding of the mechanisms by which inflammation, oxidative stress, insulin resistance, hyperlipidemia, hypertension, shear stress, endothelial cell senescence, and tissue ischemia dysregulate coronary endothelial homeostasis and arteriolar vasomotor function.
Loss of talin in cardiac fibroblasts results in augmented ventricular cardiomyocyte hypertrophy in response to pressure overload
Authors: Noll Natalie A. , Riley Lance A. , Moore Christy S. , Zhong Lin , Bersi Mathew R. , West James D. , Zent Roy , Merryman W. David
Published: March 2022

The role of talins has been previously studied in cardiomyocytes; however, these mechanotransductive proteins that are members of the focal adhesion complex have not been examined in cardiac fibroblasts previously. We hypothesized that loss of talins in cardiac fibroblasts would reduce interstitial fibrosis in the heart with a pressure overload model. However, we found that although loss of talins did not alter fibrosis, it did result in cardiomyocyte and ventricular hypertrophy.
Effects of Extracorporeal Shock Wave Combined with Vivaphototherapy on Blood Perfusion, Inflammatory Response, and Prognosis in Burn Patients
Authors: Chen Jun , Nie Jianwei
Published: March 2022

Objective. To investigate the effect of extracorporeal shock wave treatment (ESWT) combined with water-filtered infrared-A (wIRA) therapy on pain, blood perfusion, and inflammatory response in burn patients. Methods. A total of 120 burn patients treated in our hospital from May 2019 to June 2021 were selected and randomly divided into observation group (

n
=
60

) and control group (

n
=
60

). The control group was treated with wIRA, and the observation group was treated with ESWT combined with wIRA. The hospitalization conditions of the two groups were observed; the visual analogue scale (VAS) was used to evaluate the pain on the 1st, 7th, and 14th days of treatment in the two groups; the blood perfusion was compared between the two groups; the levels of cerebral neuropeptide (NPY), 5-serotonin (5-HT), prostaglandin E2 (PGE2), C-reactive protein (CRP), interleukin-10 (IL-10), tumor necrosis factor-α (TNF-α), serum intercellular adhesion molecule-1 (sICAM-1), soluble-triggering receptor expressed myeloidcells-1 (sTREM-1), and soluble hemoglobin scavenger receptor (sCD163) were measured. Modified Vancouver Scar Scale (mVSS) was used to evaluate the wound scar at 3 and 6 months after the end of treatment. Results. The wound healing rate in the observation group was significantly higher than that in the control group, and the wound healing time and hospitalization time were significantly shorter than that in the control group (

P
<
0.05

). On the 7th and 14th days of treatment, the VAS scores of the observation group were significantly lower than those of the control group (

P
<
0.05

). On 1st, 7th, and 14th days of treatment, the blood perfusion volume in the observation group was significantly higher than that in the control group (

P
<
0.05

). The scar scores in the observation group at 3 months and 6 months after treatment were significantly lower than those in the control group (

P
<
0.05

). After treatment, the levels of NPY, 5-HT, PGE2, CRP, IL-10, TNF-α, sICAM-1, sTREM-1, and sCD163 in the observation group were improved more than those in the control group, and the differences were statistically significant (

P
<
0.05

). Conclusion. ESWT combined with wIRA therapy can effectively improve the hospitalization situation of burn patients, relieve pain, improve blood perfusion, reduce scar hyperplasia, reduce inflammation, and have a good therapeutic effect.
Classroom Teaching Performance Evaluation Model Guided by Big Data and Mobile Computing
Authors: Meng Li , Zhu Jinlong , Wang Liying
Published: March 2022

Performance management has evolved rapidly in recent years and has become increasingly dominant in enterprise applications, whereas its application in the field of education has progressed slowly. Because performance management focuses on improving business performance and empowering employees, implementing it in schools helps students develop practical skills. This research focuses on evaluating classroom teaching performance using a big data and mobile computing-driven model. In addition, in the era of educational big data, this paper investigates the general process by which teachers acquire, analyze, and use educational data to improve teaching performance. The data mining method and mobile data capture are organically integrated into the benchmarking analysis to evaluate the classroom teaching performance of local universities, enriching the teaching management theories and methods of local universities. The findings show that benchmarking analysis can produce more meaningful results and provide new data for improving teaching management quality.
Challenges in the Management of Upper Lid Keloid
Authors: Goel Ruchi , Khanam Samreen , Shah Shalin , Saran Ravindra Kumar
Published: March 2022

A middle-aged lady presented with a firm, nontender mass on the left upper lid and area behind the left ear following lid reconstruction with postauricular graft for cicatricial ectropion 11 months prior. She had a similar mass on the right shin. She was diagnosed as a case of multiple keloids. Intralesional injection of triamcinolone acetonide suspension and 5-Fluorouracil (5-FU) in the upper lid keloid resulted in ulceration of its surface. Surgical excision, injection of 5-FU in the keloid bed with temporal forehead flap reconstruction, was performed. Occurrence of inadvertent postoperative wound infection with Acinetobacter baumannii was treated with local dressing with colistimethate sodium. Adjuvant therapy with topical imiquimod cream 5% was given subsequently for 24 weeks with no recurrence of the lid keloid after 16 months. The patient was managed using a combination of conservative and surgical therapy and multidisciplinary team work and kept on a long term follow-up.
Salivary Biomarkers in Periodontitis Patients: A Pilot Study
Authors: Reddahi Sarah , Bouziane Amal , Rida Sana , Tligui Houssain , Ennibi Oumkeltoum
Published: March 2022

Background and Objective. Periodontal disease is a chronic inflammatory condition, involving the destruction of both soft and hard tissues in the periodontal region. Advances in diagnostic research are moving toward methods whereby the periodontal risk can be identified and quantified by objective measures using specific inflammatory markers that can be correlated to the severity of the disease. The purpose of this study was to evaluate salivary concentrations of IL-1β, IL-6, MMP-8, and IL-10 in healthy and periodontitis patients and to assess the association between these biomarkers levels and clinical parameters in a Moroccan population. Materials and Methods. Forty subjects were included: 10 periodontally healthy subjects and 30 periodontitis patients. Periodontal examination and saliva sampling were performed in all patients. Levels of salivary cytokines including IL-1β, IL-6, MMP-8, and IL-10 were evaluated by a sandwich ELISA test kit. Data were analyzed by SPSS for Windows. Results. Regarding individual biomarkers, IL-1β, IL-6, and MMP-8 levels were significantly higher in periodontitis patients (p≤0.001,p<0.05, respectively). The concentration of these proteins in saliva showed a significant association with gingival index and pocket depth measurements and may reflect the clinical status of healthy and diseased periodontium. However, no significant differences were observed for the IL-10 component. Conclusion. IL-1β and IL-6 concentrations were statistically higher in periodontitis patients and may be used as potential tools in periodontitis diagnosis.
Status Quo Analysis of Physical Fitness Test Data Based on Health Monitoring
Authors: Ye Wenping , Shao Xianfang
Published: March 2022

One of the important symbols of a country’s level of social progress and the continuous spread of civilization throughout the world includes the level of national physique and health. People’s living standards have been significantly improved, and a moderately prosperous society has been preliminarily realized. The national physique should be improved, especially the teenagers who are in the rapid and golden period of physical and psychological development. But not everything develops according to wishes. For the past 20 years, the physical health of Chinese students has been in a downward trend. Therefore, it is urgent to analyze and study the data of adolescent health monitoring and physical fitness test. Through the analysis of D-S evidence theory composition rules, SVM network protocol, and other technologies, the accuracy of adolescent physique monitoring data has been improved by 38.4%, enhanced students’ willingness to exercise, 65% of students have enhanced physical health awareness, and a network data platform has been established, which can clearly reflect the physical health of students and summarize all monitoring data information. Teenagers are the future builders and successors of the country, and they play a pivotal role in the entire country. The analysis of the status quo of adolescent physical fitness test data is related to the strength of the country, the rise and fall of the nation, the happiness of the family, and the future of the individual.
Consistency of Zhejiang Provincial College Entrance Examination Questions and Curriculum Standards Based on Knowledge Map Construction
Authors: Zhong Xiaoyu , Wang Weiqun
Published: March 2022

Students’ scores on the advanced placement exercise test are an important guide to the development of personalized instructional tutoring. Traditional exercise test systems only counts the total value of students’ scores in each question and cannot analyze students’ different levels of mastery of each aspect of knowledge and intelligence, which limits the accuracy of teaching and tutoring. By introducing the cognitive diagnosis theory, we designed and implemented a personalized online college entrance examination exercise test system, which realizes the functions of test management, course management, group paper management, and learning reports. Based on the college entrance examination score record and knowledge point correlation matrix, we can analyze the students’ knowledge mastery status comprehensively.
Bone Region Segmentation in Medical Images Based on Improved Watershed Algorithm
Authors: Zhou Jun , Yang Mei
Published: March 2022

Watershed algorithm is widely used in image segmentation, but it has oversegmentation in image segmentation. Therefore, an image segmentation algorithm based on K-means and improved watershed algorithm is proposed. Firstly, Gaussian filter is used to denoise human skeleton image. K-means clustering algorithm is used to segment the denoised image and the connected component with the largest area is extracted as the initial human skeleton region. The initial bone region was morphologically opened and then morphologically closed to eliminate the noise. Morphologically open operation is used to disconnect other human tissues that adhere to the human bone region and eliminate the background noise with small area, while closed operation smoothes the edge of the human bone region and fills the fracture in the contour line. Secondly, the watershed segmentation algorithm is implemented on the image after morphological operation. The similarity degree of two blocks is defined according to the mean difference of gray level of adjacent blocks and the mean value of standard deviation of gray level of pixels in the edge of the block 4-neighborhood. The adaptive threshold T is generated by Otsu method for histogram of gradient amplitude image. If the similarity degree is greater than T, the image blocks will be merged; otherwise, the image blocks will not be merged. The proposed image segmentation algorithm is used to extract and segment the human bone region from 100 medical images containing human bone. The number of blocks segmented by watershed algorithm is 2775 to 3357, but the number of blocks segmented by the proposed algorithm is 221 to 559. The experimental results show that the proposed algorithm effectively solves the oversegmentation problem of watershed algorithm and effectively segments the image target.
Catatonia with Psychosis in an 8-Year-Old Child: A Case Report and a Literature Review
Authors: Weiss Margaret D. , Schibuk Larry , Gokarakonda Srinivasa B. , Henderson Renea , Esmaeilpour Dianna
Published: March 2022

Objective. We present a narrative review of pediatric catatonia and a case report illustrating the complexity of management of psychosis in a child with catatonia. Method. The literature search used the text terms pediatric, catatonia, and antipsychotics and the search engines PubMed and EBSCO. All references from peer-reviewed journals were reviewed for treatment strategies specific to management in children who are also psychotic. Findings. This 8-year-old girl presented with psychotic symptoms which were initially treated with antipsychotics and evolved into life-threatening catatonia that was eventually stabilized with a total daily dose of 46 mg of lorazepam. Lower doses led to recurrence. Once catatonia improved, she tolerated combined benzodiazepine and antipsychotic treatment. Long-term maintenance over 5 years required maintenance treatment with both benzodiazepines and antipsychotics to prevent relapse. Conclusions. The extraordinary doses of benzodiazepines found to be optimal for management of catatonia in this child led to improved alertness and orientation, without evident sedation. Catatonia did not recur with later management of psychosis using neuroleptics when added to lorazepam. The current literature on pediatric catatonia does not provide guidance on dose maintenance or when and if to rechallenge with antipsychotics.
Personalized Smart Clothing Design Based on Multimodal Visual Data Detection
Authors: Deng Haijuan , Liu Minglong
Published: March 2022

In the traditional clothing customization system, only the designer participates in the clothing design, and the style is single. In the face of numerous styles, the user just repeatedly arranges and combines the styles, but does not realize the user’s innovative design. In this paper, we propose a novel multitask deep convolutional neural network training method for task-by-task transfer learning, and learn deep image features for image retrieval tasks on noisy user click data. Image retrieval model based on image-text multimodal correlation features: this paper uses image-text multimodal correlation features to calculate the correlation between query keywords and images, and calculates the correlation between images and images. In this paper, the method of automatic generation of clothing style is researched, and parameterized coding is designed for it. Taking the typical style of suits as the initial population, through the human-computer interaction interface, the scoring value is assigned to the fitness value to carry out the evolution process. The binary string of the suit style generated by the genetic algorithm is decoded through the decoding algorithm and rules, decoded into a visual style diagram of the style of the suit style, and the style diagram of the suit style is automatically drawn. From the perspective of clothing design, this paper summarizes the general design methods of outdoor sports smart clothing, follows the integration of people-clothing-environment, and proposes a wearer-centered design concept to deeply explore the rationality of outdoor sports smart clothing design methods. This paper further solves the key problems in the design process, and takes the fashion of clothing as the core principle to design the structure of clothing modeling. The fabric selection of suits is based on the principle of clothing comfort. The key is to realize the outdoor sports monitoring function of suits through sensing technology. The design uses Arduino as an electronic prototype platform, so as to detect the heart rate of the human body during exercise and the microclimate temperature under the clothes. This kind of suit with monitoring function is ultimately a combination of sensing device and clothing. It not only has monitoring function, but also has the aesthetic concept of clothing design and conforms to the performance of human body structure, which will provide reference and reference for the design of outdoor sports smart clothing.
Activities and Molecular Mechanisms of Diterpenes, Diterpenoids, and Their Derivatives in Rheumatoid Arthritis
Authors: Torequl Islam Muhammad , Quispe Cristina , Herrera-Bravo Jesús , Rahaman Md. Mizanur , Hossain Rajib , Sarkar Chandan , Raihan Md Abdur , Chowdhury Md. Mashrur , Uddin Shaikh Jamal , Shilpi Jamil A. , Marcelo de Castro e Sousa João , Melo-Cavalcante Ana Amélia de Carvalho , Mubarak Mohammad S. , Sharifi-Rad Javad , Calina Daniela
Published: March 2022

Diterpenes and their derivatives have many biological activities, including anti-inflammatory and immunomodulatory effects. To date, several diterpenes, diterpenoids, and their laboratory-derived products have been demonstrated for antiarthritic activities. This study summarizes the literature about diterpenes and their derivatives acting against rheumatoid arthritis (RA) depending on the database reports until 31 August 2021. For this, we have conducted an extensive search in databases such as PubMed, Science Direct, Google Scholar, and Clinicaltrials.gov using specific relevant keywords. The search yielded 2708 published records, among which 48 have been included in this study. The findings offer several potential diterpenes and their derivatives as anti-RA in various test models. Among the diterpenes and their derivatives, andrographolide, triptolide, and tanshinone IIA have been found to exhibit anti-RA activity through diverse pathways. In addition, some important derivatives of triptolide and tanshinone IIA have also been shown to have anti-RA effects. Overall, findings suggest that these substances could reduce arthritis score, downregulate oxidative, proinflammatory, and inflammatory biomarkers, modulate various arthritis pathways, and improve joint destruction and clinical arthritic conditions, signs, symptoms, and physical functions in humans and numerous experimental animals, mainly through cytokine and chemokine as well as several physiological protein interaction pathways. Taken all together, diterpenes, diterpenoids, and their derivatives may be promising tools for RA management.
The Imbalance of Mitochondrial Homeostasis of Peripheral Blood-Derived Macrophages Mediated by MAFLD May Impair the Walking Ability of Elderly Patients with Osteopenia
Authors: Wang Xiaojun , Liu Xuanqi , He Peqing , Guan Kangwei , Yang Yijing , Lei Yiming , Cai Jianhua , Wang Wenhao , Wu Tao
Published: March 2022

Introduction. Many Asian cohort studies have shown that nonalcoholic fatty liver disease (NAFLD), now renamed as metabolic dysfunction-associated fatty liver disease (MAFLD), increases the risk of osteoporosis, yet the effect of MAFLD on elderly patients with osteopenia (OPe) has not been reported. Objective. This study aimed to explore the influence of MAFLD on the function of macrophages in patients with OPe. Methods. A total of 107 elderly OPe patients with or without MAFLD who visited the Huadong Hospital Affiliated to Fudan University (Shanghai, China) between January 1st, 2021, and September 30th, 2021, were evaluated for an interviewer-assisted questionnaire, as well as clinical and biological assessments. Results. Comparing two groups of elderly patients with the same bone mass level, we found that the six-minute walking distance (

P
=
0.012

) and short physical performance battery (SPPB) score (

P
=
0.0029

) of the elderly OPe patients with MAFLD are worse than those in OPe patients without MAFLD. Our results confirmed that the mitochondrial reactive oxygen species (mtROS) in peripheral blood of OPe patients with MAFLD was significantly higher than those without. We also observed the mitochondrial metabolism level of peripheral blood-derived macrophages in the included patients and peripheral blood macrophages in patients with MAFLD with more unbalanced mitochondrial dynamics of macrophages, more weakened mitochondrial respiratory capacity, and greater mitochondrial microstructure damage, when compared with the elderly patients without MAFLD. Conclusions. To conclude, our data revealed that MAFLD itself may aggravate the inflammatory state in elderly OPe people due to mitochondrial homeostasis imbalance of peripheral blood macrophages. Damaged monocyte-macrophages might trigger attenuation of the walking ability of OPe patients.
Fully Convolutional Neural Network Deep Learning Model Fully in Patients with Type 2 Diabetes Complicated with Peripheral Neuropathy by High-Frequency Ultrasound Image
Authors: Liu Xiaoqiang , Zhou Hongyan , Wang Zhaoyun , Liu Xiaoli , Li Xin , Nie Chen , Li Yang
Published: March 2022

This study was aimed at exploring the diagnostic value of high-frequency ultrasound imaging based on a fully convolutional neural network (FCN) for peripheral neuropathy in patients with type 2 diabetes (T2D). A total of 70 patients with T2D mellitus were selected and divided into a lesion group (

n
=
31

) and a nonlesion group (

n
=
39

) according to the type of peripheral neuropathy. In addition, 30 healthy people were used as controls. Hypervoxel-based and FCN-based high-frequency ultrasound images were used to examine the three groups of patients to evaluate their diagnostic performance and to compare the changes of peripheral nerves and ultrasound characteristics. The results showed that the Dice coefficient (92.7) and mean intersection over union (mIOU) (82.6) of the proposed algorithm after image segmentation were the largest, and the Hausdorff distance (7.6) and absolute volume difference (AVD) (8.9) were the smallest. The high-frequency ultrasound based on the segmentation algorithm showed higher diagnostic accuracy (94.0% vs. 86.0%), sensitivity (87.1% vs. 67.7%), specificity (97.1% vs. 94.2%), positive predictive value (93.1% vs. 86.7%), and negative predictive value (94.4% vs. 84.0%) (

P
<
0.05

). There were significant differences in the detection values of the three major nerve segments of the upper limbs in the control group, the lesion group, and the nonlesion group (

P
<
0.05

). Compared with the nonlesion group, the patients in the lesion group were more likely to have reduced nerve bundle echo, blurred reticular structure, thickened epineurium, and unclear borders of adjacent tissues (

P
<
0.05

). In summary, the high-frequency ultrasound processed by the algorithm proposed in this study showed a high diagnostic value for peripheral neuropathy in T2D patients, and high-frequency ultrasound can be used to evaluate the morphological changes of peripheral nerves in T2D patients.
Foliar Application of Leaf Extracts of Glycyrrhiza uralensis Increases Growth and Nutritional Value of Chinese Flowering Cabbage Plants under Field Conditions
Authors: Akram Waheed , Fatima Sabin , Anjum Tehmina , Ali Basharat , Li Guihua
Published: March 2022

This study was conducted to explore the effects of ethanolic extracts of leaves of Glycyrrhiza uralensis on the growth and nutritional quality of Chinese flowering cabbage (Brassica rapa subsp. parachinensis) under field conditions. Preliminary greenhouse experiments were carried out with different concentrations of G. uralensis extracts to select the suitable dose for field studies. An extract concentration of 12.5 g/L was selected based on relative growth rate analysis and increase in photosynthetic pigment biosynthesis. Shoot length, shoot fresh weight and dry weight, number of leaves, and marketable value of Chinese flowering cabbage plants were significantly increased in the field trials with foliar application of G. uralensis leaves extracts at a concentration of 12.5 g/L. This biotic elicitor also enhanced the total phenolic and flavonoid contents, with optimal values increasing by 18.76% and 22.43%, respectively, compared with the control under field conditions. The total glucosinolate content was effectively increased (from 11.21 to 15.37 μmol·g−1 DW sinigrin equivalents), particularly 4-methoxyglucobrassicin (from 4.31 to 6.72 μmol·g−1 DW sinigrin equivalents) and glucoalyssin (from 0.14 to 0.19 μmol·g−1 DW sinigrin equivalents) compared with the control plants in field trials. Overall, foliar application of leaf extracts of G. uralensis can markedly increase the growth of Chinese flowering cabbage and enhance its medicinal and nutritional quality in the fields.
FCTA: A Forecasting Combined Methodology with a Threshold Accepting Approach
Authors: Frausto-Solis Juan , Rodriguez-Moya Lemuel , González-Barbosa Javier , Castilla-Valdez Guadalupe , Ponce-Flores Mirna
Published: March 2022

The combination of forecasting methods is a widespread technique. The most common technique for ensembling several individual methods is scoring. These ensemble methods have been useful for designing hybrid forecasting time series methods in several areas. However, more precise applications are required in modern times, and hybridizations using several ranking approaches have emerged to solve this problem. The main difficulty of this technique is finding the most suitable methodology to combine forecasting methods. This work presents a new methodology named FCTA (forecasting combined method with threshold accepting) for ensembling several forecasting methods. This methodology uses a Threshold Accepting algorithm for weighting individual predictions. FCTA starts from an initial weighting and aims to find the best ponderation of the individual methods by optimizing the precision of the global prediction. For testing FCTA, we selected a dataset taken from M4-Makridakis-competition, and we compared it with the best individual forecasting methods. FCTA is also compared with other successful methodologies. The experimentation shows that FCTA surpasses the best M4 individual methods and is equivalent or better than the best methodologies of the area.
An Intelligent Multiattribute Decision-Support Framework Based on Parameterization of Neutrosophic Hypersoft Set
Authors: Rahman Atiqe Ur , Saeed Muhammad , Alburaikan Alhanouf , Khalifa Hamiden Abd El-Wahed
Published: March 2022

Hypersoft set is a novel area of interest which is able to tackle the real-world scenarios where classification of parameters into their respective sub-parametric values in the form of overlapping sets is mandatory. It employs a new approximate mapping which considers such sets in the form of sub-parametric tuples as its domain. The existing soft set-like structures are insufficient to tackle such kind of situations. This research intends to establish a novel concept of parameterization of fuzzy set under hypersoft set environment with uncertain components of intuitionistic fuzzy set and neutrosophic set. Two novel structures, i.e., fuzzy parameterized intuitionistic fuzzy hypersoft set (

fpifhs

-set) and fuzzy parameterized neutrosophic hypersoft set (

fpnhs

-set), are developed by employing algebraic techniques like theoretic, analytical, pictorial, and algorithmic techniques. After characterizing the elementary properties and set-theoretic operations of

fpifhs

-set and

fpnhs

-set, two novel algorithms are proposed to solve real-life decision-making COVID-19 problem. The results of both algorithms are compared with related already established models through certain evaluating features to judge the advantageous aspects of the proposed study. The generalization of the proposed models is discussed by describing some of their particular cases.
Clinical Effects of Exercise Rehabilitation Combined with Repaglinide in the Treatment of Diabetes
Authors: Li Yan , Wang Xi , Zhang Ying
Published: March 2022

Objective. Diabetes, a common endocrine and metabolic disease in clinical practice, generally manifests a certain defect in insulin secretion due to several factors, thereafter leading to a metabolic disorder such as hyperglycemia. This study was conducted to explore the clinical effects of repaglinide combined with exercise rehabilitation on improving the blood glucose of patients with diabetes. Methods. In this retrospective study, 100 patients with diabetes treated in our hospital from January 2018 to January 2020 were assessed for eligibility and recruited. They were assigned at a ratio of 1 : 1 to receive either repaglinide (control group) or repaglinide plus exercise rehabilitation (experimental group). Outcome measures include fasting blood glucose, 2 h postprandial blood glucose, glycosylated hemoglobin, time to normal blood glucose, blood glucose fluctuation, insulin dosage, adverse reactions, and blood glucose adequate rate. Results. All eligible patients showed similar pretreatment fasting blood glucose, glycosylated hemoglobin, and 2 h postprandial blood glucose (

P
>
0.05

). After treatment, repaglinide plus exercise rehabilitation resulted in lower levels of fasting blood glucose, glycosylated hemoglobin, and 2 h postprandial blood glucose versus repaglinide alone (

P
<
0.05

). Repaglinide plus exercise rehabilitation was associated with a significantly shorter time to normal blood glucose and a milder fluctuation versus repaglinide (

P
<
0.05

). The incidence of adverse reactions and blood glucose adequate rate was 6% and 94% in the experimental group and 50% and 52% in the control group, respectively (

P
<
0.05

). Conclusion. Repaglinide plus exercise rehabilitation results in effective blood glucose control and reduced incidence of adverse reactions and yields a promising efficacy, so it is worthy of clinical promotion and application.
Vegetable Oil and Derivates Hydroprocessing Using Ni as Catalyst for the Production of Hydrocarbons
Authors: Andrade Lívia C. T. , Muchave Germildo J. , Maciel Samia T. A. , da Silva Isabelly P. , da Silva Gabriel F. , Almeida João M. A. R. , Aranda Donato A. G.
Published: March 2022

The aviation sector has become a considerable market for biofuels since they come from renewable sources and have characteristics that help to reduce pollution. Hydrocarbons production from vegetable oils and their derivates for use in diesel and aviation kerosene are a possible alternative route to reduce fossil fuels. With that in mind, this article aimed to develop nickel catalysts supported on γ-Al2O3, Nb2O5, and zeolites to submit them to the hydroprocessing of vegetable oils and derivatives in the production of hydrocarbons. With soy ester, reactions with the Ni/Al2O3 and Ni/Nb2O5 catalyst showed selectivity of 41.2 and 16.5%, respectively, at a temperature of 300°C and a reaction time of 7 h. Under the same conditions, hydroprocessing reactions for the soybean ester using Ni/Beta and Ni/HY zeolites promoted more excellent conversion (between 80 and 99%) than oxide catalysts and selectivity between 30 and 70% for Ni/Beta and Ni/HY, correspondently. Besides, zeolite catalysts showed high conversion at the higher temperature (340°C) and time (9 h), reaching 100% conversion and hydrocarbons selectivity of 76.8 and 61.9% for zeolite Beta and HY, respectively. Changing the raw material to fatty acids made it possible to notice that zeolite catalysts showed high selectivity reaching 100%. Given the excellent performance of catalysts in hydroprocessing reactions, it is possible to consider them a promising alternative route since they can reduce the production by applying transition metal as a catalyst instead of noble metals used in the industry.
Characterization and Analysis of Argania spinosa Shells from Souss‐Massa Area: Application in the Adsorption of Methylene Blue in Aqueous Solution
Authors: Ifguis Ousama , Bouhdadi Rachid , Ziat Younes , George Béatrice , Mbarki Mohamed
Published: March 2022

This study focused on the adsorption in aqueous solution of methylene blue (MB), a cationic dye used in the textile industry, by crushed Argan shells (used as raw materials) from the southern region of Morocco. These crushed Argan shells were first characterized by different technical analyses: elemental analysis, biochemical analysis, IR spectroscopy, thermogravimetric analysis, scanning electron microscopy, mercury porosimetry, and zetametry. The adsorption kinetics was then studied by varying the experimental parameters such as the dye concentration in solution. We note that at pH = 8, there is an elimination up to 232.6 mg/g, during an equilibrium time of 180 min. The correlation coefficient showed that the pseudosecond‐order kinetic equation best describes the adsorption kinetics for the tested material. The adsorption isotherms of MB by Argan shells are suitably described by the Langmuir model which provide the best theoretical correlation of the experimental data. The thermodynamics of MB adsorption on Argan shells indicates a spontaneous and endothermic process. It was concluded that an increase in temperature leads to a greater adsorption of MB by the studied biosorbent.
Nonlinear Network Speech Recognition Structure in a Deep Learning Algorithm
Authors: Meng Liang , Kuppuswamy Prakash , Upadhyay Jinal , Kumar Sumit , Athawale Shashikant V. , Shah Mohd Asif
Published: March 2022

As a result of the fast rise of globalization, people in China are learning English at a rapid pace. However, there is a severe shortage of English teachers in the region, which is a major hindrance. To address these concerns, a deep learning-based algorithm is proposed that can not only check English pronunciation but also help learners distinguish between phonemic and quality phonemic while listening and differentiating, as well as correct phonemic errors, thereby increasing their language learning capacity. In order to study the application of nonlinear network identification technology in English learning, this paper evaluates the English pronunciation quality through the deep learning algorithm of deep learning combined with the related contents of neural network data model, and the experimental results of speech recognition structure are analyzed and discussed in detail. The concordance between machine and manual intonation evaluation is 80%, the concordance rate of adjacent intonation evaluation is 98.33%, and the Pearson correlation coefficient is 0.627 that shows the technique is reliable. The method of English pronunciation and speech identification model is sensible and dependable, which can give beginners a punctual, exact and impartial judgment and response guidance, assist learners to get on the differences between their phonemic and standard phonemic, and correct phonemic mistakes, in order to enhance the ability of oral English learning.
Clinical Effect of Nimodipine Combined with Magnesium Sulfate on Pregnancy-Induced Hypertension Syndrome
Authors: Chang Ruixia , Miao Hui , Cui Ailing , Jiang Lingyan , Yang Linlin , Miao Congxiu
Published: March 2022

The incidence of pregnancy-induced hypertension in China is 9.4%, which is at a relatively high level. Its serious impact on maternal and infant health is the main reason for maternal and perinatal morbidity and mortality. There are many factors affecting pregnancy-induced hypertension. The incidence of pregnancy-induced hypertension is different due to different levels of cultural knowledge, health awareness, economic income, nutrition, and medical support. Since its etiology has not been elucidated thus far, there is no known treatment of the disease, and the main principles are spasmolysis, hypotension, expansion, and timely termination of pregnancy. Observe the effect of nimodipine combined with magnesium sulfate on serum heat shock protein 70 (HSP70) and pentamer 3 (PTX3) levels in patients with pregnancy-induced hypertension. Ninety-six patients with pregnancy-induced hypertension syndrome admitted to our hospital from May 2016 to February 2019 are selected and randomly divided into two groups according to the 1 : 1 principle, with 48 cases in each group. The single drug group is treated with magnesium sulfate, and the combined group is treated with nimodipine combined with magnesium sulfate. Changes in blood pressure, HSP70, PTX3, placental growth factor (PLGF), and vascular endothelial cell injury markers are recorded in the two groups, and adverse reactions and pregnancy outcomes are observed. After treatment, the blood pressure and levels of HSP70, PTX3, endothelin-1 (ET-1), and nitric oxide (NO) in the two groups decreased, and the level of PLGF increased. The diastolic blood pressure, systolic blood pressure, and levels of HSP70, PTX3, ET-1, and NO in the combined group are lower than those in the single drug group, and the level of PLGF is higher than that in the single drug group (

P
<
0.05

). During the treatment period, the adverse reaction rate of the combined group is 6.25% compared with 8.33% of the single agent group, and the difference is not statistically significant (

P
>
0.05

). Follow-up visits found that the cesarean section rate and abnormal fetal heart rate in the combined group are 16.67% and 4.17%, respectively, which are lower than 35.42% and 16.67% in the single drug group, and the difference is statistically significant (

P
<
0.05

). Compared with 14.58%, 12.50%, and 2.08% in the single drug group, the neonatal asphyxia rate, premature birth rate, and stillbirth rate in the combined group are 6.25%, 4.17%, and 0.00%, respectively, and the difference is not statistically significant (

P
>
0.05

). Nimodipine combined with magnesium sulfate can effectively control blood pressure in patients with pregnancy-induced hypertension, reduce vascular endothelial damage, regulate the expression of HSP70, PTX3, and PLGF, and improve pregnancy outcomes without increasing adverse reactions.
[Retracted] Study on Seismic Performance of Recycled Steel Fibers Locally Reinforced Cruciform Concrete Frame Beam‐Column Joint
Authors: Li Yan , Zhao Rong-Hua , Li Dong-Yi , Qu Chang
Published: March 2022

At present, concrete frame structures are widely used, and the frame beam‐column joints are the key parts of the whole frame in seismic resistance. In previous studies, recycled steel fiber‐reinforced concrete is a new type of environment‐friendly reinforcement material, which can also be widely used in the construction industry. Therefore, in this paper, MTS electrohydraulic servo loading systems were used to carry out low‐cycle reciprocating cyclic loading tests to study the seismic performance of five 1/2 scale cruciform concrete frame beam‐column joint specimens with plain concrete, normal steel fiber‐reinforced concrete, and three recycled steel fiber‐reinforced concrete with different fiber contents in the joint core area. The results show that the addition of normal steel fibers can improve the bearing capacity, ductility, energy dissipation capacity, and shear strength of concrete frame joint specimens and delay the stiffness degradation of joint specimens, recycled steel fibers can improve the seismic performance of the cruciform concrete frame joints better than normal steel fibers, and the seismic performance increases gradually with the increases of volume ratio of recycled steel fibers. Moreover, with the recycled steel fiber content from 0.5% to 1.0% and then to 1.5%, the increased amplitude of the seismic performance of joint specimens increases. Considering the reinforcing effect of recycled steel fibers on concrete matrix and based on the design formula of shear capacity of reinforced concrete joints, the design formulas of shear capacity of recycled steel fiber‐reinforced concrete beam‐column joints were established by using the statistical analysis method and the baroclinic rod‐truss model, and the calculation results were in good agreement with the test results. This study can provide references for seismic performance research of steel fiber‐reinforced beam‐column joints and the recycling of steel wire from waste tires.
Can Gastric Cancer Patients with High Mandard Score Benefit from Neoadjuvant Chemotherapy?
Authors: Kang Wen-Zhe , Wang Bing-Zhi , Li Deng-Feng , Jiang Zhi-Chao , Xiong Jian-Ping , Li Yang , Jin Peng , Shao Xin-Xin , Hu Hai-Tao , Tian Yan-Tao
Published: March 2022

A high Mandard score may indicate the tumor is insensitive to chemotherapy. We analyzed tumor regression and lymph node response under different Mandard scores to assess the impact of Mandard score on prognosis. Methods. Mandard scores and ypN stage of postoperative pathological reports were recorded. The results were reviewed by a professional pathologist. The radiologist compared the tumor regression before and after chemotherapy by computed tomography (CT). The survival of all patients was obtained by telephone follow-up. Multivariate Cox regression was used to assess the relationship between overall risk of death and Mandard score, imaging evaluation, and ypN stage. Results. In the Mandard score (4-5) group, the median survival time for PR and ypN0 patients was 68.5 and 76.7 months. While in the Mandard score (1-2) group, the median survival time for PD and ypN3a patients was 15.6 and 14.5 months. Imaging evaluation of tumor regression (PR 68.5 months, SD 27.8 months, and PD 10.2 months) and lymph node remission (ypN0 76.7 months, ypN1 61.6 months, ypN2 18.0 months, ypN3a 18.7 months, and ypN3b 18.3 months) showed improved survival. Mandard score, imaging evaluation, and ypN stage are important prognostic factors affecting prognosis. Conclusion. A high Mandard score does not mean neoadjuvant chemotherapy is ineffective in gastric cancer. Patients with imaging evaluation of tumor regression and ypN stage reduction may benefit from neoadjuvant chemotherapy.
Burnout and Associated Factors among Hospital‐Based Nurses in Northern Uganda: A Cross‐Sectional Survey
Authors: Udho Samson , Kabunga Amir
Published: March 2022

Background. Burnout is a public health problem that disproportionately affects nurses in sub‐Saharan Africa because of the weak health systems that create an unconducive workplace environment. In Uganda, there is limited evidence on the burden of burnout among nurses in a manner that undermine advocacy and policy formulation. We aimed to assess the level of burnout and associated factors among nurses in northern Uganda. Methods. This was a cross‐sectional survey conducted among 375 randomly selected nurses from health facilities in northern Uganda. Data were collected using a self‐administered questionnaire. Data analysis consisted of descriptive statistics and logistic regression at a 95% level of significance in SPSS version 25. Results. Majority of the respondents were female 56.5% (n = 223). Nearly half, 49.1% (n = 194) of respondents had high levels of burnout, 36.2% (n = 143) reported average levels of burnout, and 14.7% (n = 58) reported low levels of burnout. Factors associated with burnout were age (AOR: 2.90; 95% CI: 1.28‐6.58; p = 0.011), social support (AOR: 0.45; 95% CI: 0.22‐0.94; p = 0.033), healthy eating (AOR: 0.06; 95% CI: 0.02‐0.22; p < 0.001), workload (AOR: 0.31; 95% CI: 0.14‐0.68; p = 0.004), and management responsibilities (AOR: 3.07; 95% CI: 1.54‐6.12; p = 0.001). Conclusion. Half of the nurses in northern Uganda experienced high levels of burnout. The Ministry of Health should consider recruiting more nurses to reduce workload and adjust working hours to prevent workplace‐related burnout among nurses in the country.
Research on the Evaluation Method of Enterprises’ Independent Innovation Ability Based on Improved BP Neural Network and DQN Algorithm
Authors: Fan Yipin , Ding Ding , Qin Hong
Published: March 2022

The development of enterprises has a very important influence on promoting national economic growth and improving comprehensive economic strength. This work evaluates the independent innovation ability of enterprises, analyzes the characteristics and difficulties of technological innovation of enterprises, and proposes corresponding solutions to promote independent technological innovation of enterprises. Firstly, the characteristics of the research object are clarified, and on the basis of relevant research, the theory of technological innovation and evaluation at home and abroad is expounded. At the same time, the basic theory of the improved BP neural network and DQN algorithm is introduced, which provides a theoretical basis for the research of the thesis. Secondly, according to the characteristics of enterprise technological innovation, an index system for evaluating the technological innovation capability of enterprises is constructed. Then, according to the related theory of the improved BP neural network and DQN algorithm, a neural network model for evaluating the technological innovation capability of enterprises is designed, and the validity of the model is verified through empirical research. Finally, this paper applies the evaluation model to the surveyed enterprises, comprehensively analyzes the characteristics and existing problems of independent technological innovation of enterprises, and proposes practical and feasible countermeasures to improve technological innovation capabilities from the perspective of enterprises themselves. The research results of this paper can be used as an effective supplement to the research on independent technological innovation of enterprises, and at the same time promote the continuous improvement of independent technological innovation capabilities of enterprises.
An Intelligent Classification Method of Multisource Enterprise Financial Data Based on SAS Model
Authors: Xu Xiuyan
Published: March 2022

An enterprise is often faced with a large amount of financial information and data information. It is inefficient to rely solely on manual work, and the accuracy is difficult to guarantee. For the multisource data of corporate finance, it is more difficult for financial personnel to accurately analyze the connections between the data. For the multisource financial data of enterprise, this is also a time-consuming and laborious task for financial personnel. At the same time, it is difficult to find the correlation between multiple sources of data and then formulate financial data that guides the development of the enterprise. With the advancement of intelligent algorithms, an intelligent classification algorithm similar to the SAS model has emerged, which can realize the intelligent classification of enterprise financial multisource data and accurately predict the future development trend, which is extremely beneficial to the development and performance of the enterprise. This article mainly combines the financial intelligence classification model SAS with clustering and decision tree methods to classify the financial multisource information and uses the neural network method to carry out the future development trend of corporate finance. The research results show that the maximum error of enterprise financial classification after using the intelligent classification method is only 3.71% and that the forecast error of the future development trend of enterprise finance is only 1.77%. This is an acceptable error range, and this intelligent classification method is also greatly improving the efficiency of corporate financial management.