bluuebunny/crossref_metadata_2025 huggingface dataset:
Proteolysis: a key post-translational modification regulating proteoglycans
Authors: Mead Timothy J. , Bhutada Sumit , Martin Daniel R. , Apte Suneel S.
Published: July 2022

Proteoglycans are composite molecules comprising a protein backbone, i.e., the core protein, with covalently attached glycosaminoglycan chains of distinct chemical types. Most proteoglycans are secreted or attached to the cell membrane. Their specialized structures, binding properties, and biophysical attributes underlie diverse biological roles, which include modulation of tissue mechanics, cell adhesion, and the sequestration and regulated release of morphogens, growth factors, and cytokines. As an irreversible post-translational modification, proteolysis has a profound impact on proteoglycan function, abundance, and localization. Proteolysis is required for molecular maturation of some proteoglycans, clearance of extracellular matrix proteoglycans during tissue remodeling, generation of bioactive fragments from proteoglycans, and ectodomain shedding of cell-surface proteoglycans. Genetic evidence shows that proteoglycan core protein proteolysis is essential for diverse morphogenetic events during embryonic development. In contrast, dysregulated proteoglycan proteolysis contributes to osteoarthritis, cardiovascular disorders, cancer, and inflammation. Proteolytic fragments of perlecan, versican, aggrecan, brevican, collagen XVIII, and other proteoglycans are associated with independent biological activities as so-called matrikines. Yet, proteoglycan proteolysis has been investigated to only a limited extent to date. Here, we review the actions of proteases on proteoglycans and illustrate their functional impact with several examples. We discuss the applications and limitations of strategies used to define cleavage sites in proteoglycans and explain how proteoglycanome-wide proteolytic mapping, which is desirable to fully understand the impact of proteolysis on proteoglycans, can be facilitated by integrating classical proteoglycan isolation methods with mass spectrometry-based proteomics.
Effects of regular sauna bathing in conjunction with exercise on cardiovascular function: a multi-arm, randomized controlled trial
Authors: Lee Earric , Kolunsarka Iiris , Kostensalo Joel , Ahtiainen Juha P. , Haapala Eero A. , Willeit Peter , Kunutsor Setor K. , Laukkanen Jari A.
Published: July 2022

Regular exercise and sauna bathing have each been shown to improve cardiovascular function in clinical populations. However, experimental data on the cardiovascular adaptations to regular exercise in conjunction with sauna bathing in the general population are lacking. Therefore, we compared the effects of exercise and sauna bathing to regular exercise using a multi-arm randomized controlled trial. Participants ( n = 47) aged 49 ± 9 with low physical activity levels and at least one traditional cardiovascular disease (CVD) risk factor were randomly assigned (1:1:1) to guideline-based regular exercise and 15-min postexercise sauna (EXS), guideline-based regular exercise (EXE), or control (CON) for 8 wk. The primary outcomes were blood pressure (BP) and cardiorespiratory fitness (CRF). Secondary outcomes included fat mass, total cholesterol levels, and arterial stiffness. EXE had a greater change in CRF (+6.2 mL/kg/min; 95% CI, +4.2 to +8.3 mL/kg/min) and fat mass but no differences in BP when compared with CON. EXS displayed greater change in CRF (+2.7 mL/kg/min; 95% CI, +0.2 to +5.3 mL/kg/min), lower systolic BP (−8.0 mmHg; 95% CI, −14.6 to −1.4 mmHg), and lower total cholesterol levels compared with EXE. Regular exercise improved CRF and body composition in sedentary adults with CVD risk factors. However, when combined with exercise, sauna bathing demonstrated a substantially supplementary effect on CRF, systolic BP, and total cholesterol levels. Sauna bathing is a valuable lifestyle tool that complements exercise for improving CRF and decreasing systolic BP. Future research should focus on the duration and frequency of exposure to ascertain the dose-response relationship.
Application of Improved BP Neural Network in the Optimization of Regional Economic Energy Consumption Structure
Authors: Wu Yangxue
Published: July 2022

At present, local regions have the problems of low optimization dimension and unbalanced supply side in the energy consumption structure in the process of economic development. Based on this, this paper studies the optimization method of the regional economic energy consumption structure based on big data and BP neural network analysis strategy and designs an intelligent extraction model of the regional economic energy consumption structure based on the BP neural network. According to the correlation and internal matching of energy consumption data involved in the process of economic development in different regions, the quantitative high-value analysis of regional economic energy consumption structure is realized, and the accuracy of the analysis results is analyzed by Newton Leibniz theory. The results show that the optimization model of regional economic energy consumption structure based on the BP neural network can effectively improve the application scope and data utilization of energy consumption structure, effectively complete the intelligent classification of energy consumption of different enterprises, and indirectly improve the energy utilization and matching efficiency of the regional economy.
HRM: An Intelligent Helmet Recognition Model in Complex Scenes
Authors: He Panbo , Wu Chunxue , Yared Rami , Ma Yuanhao
Published: July 2022

This paper presents an intelligent helmet recognition model in complex scenes based on YOLOv5. Firstly, in construction site projects, consider that the photograph which needs to be identified has numerous problems. For example, helmet’s pixels are too tiny to detect, or a large number of workers makes helmets appear densely. A SE-Net channel attention module is added in different parts of the network layer of the model, so that the improved model can pay more attention to the global variables and increase the detection performance of small target information and dense target information. In addition, this paper constructs a helmet data set based on projects and adds training samples of dense targets and long-range small targets. Finally, the modified mosaic data enhancement reduces the influence of redundant background on the model and improves the recognition accuracy of the tiny target. The experimental results show that in the project, the average accuracy of helmet detection reaches 92.82%. Compared with SSD, YOLOv3, and YOLOv5, the average accuracy of this algorithm is improved by 6.89%, 8.28%, and 2.44% and has strong generalization ability in dense scenes and small target scenes, which meets the accuracy requirements of helmet wearing detection in engineering applications.
Recent Progress in Development of Dressings Used for Diabetic Wounds with Special Emphasis on Scaffolds
Authors: Awasthi Ankit , Gulati Monica , Kumar Bimlesh , Kaur Jaskiran , Vishwas Sukriti , Khursheed Rubiya , Porwal Omji , Alam Aftab , KR Arya , Corrie Leander , Kumar Rajan , Kumar Ankit , Kaushik Monika , Jha Niraj Kumar , Gupta Piyush Kumar , Chellappan Dinesh Kumar , Gupta Gaurav , Dua Kamal , Gupta Saurabh , Gundamaraju Rohit , Rao Pasupuleti Visweswara , Singh Sachin Kumar
Published: July 2022

Diabetic wound (DW) is a secondary application of uncontrolled diabetes and affects about 42.2% of diabetics. If the disease is left untreated/uncontrolled, then it may further lead to amputation of organs. In recent years, huge research has been done in the area of wound dressing to have a better maintenance of DW. These include gauze, films, foams or, hydrocolloid‐based dressings as well as polysaccharide‐ and polymer‐based dressings. In recent years, scaffolds have played major role as biomaterial for wound dressing due to its tissue regeneration properties as well as fluid absorption capacity. These are three‐dimensional polymeric structures formed from polymers that help in tissue rejuvenation. These offer a large surface area to volume ratio to allow cell adhesion and exudate absorbing capacity and antibacterial properties. They also offer a better retention as well as sustained release of drugs that are directly impregnated to the scaffolds or the ones that are loaded in nanocarriers that are impregnated onto scaffolds. The present review comprehensively describes the pathogenesis of DW, various dressings that are used so far for DW, the limitation of currently used wound dressings, role of scaffolds in topical delivery of drugs, materials used for scaffold fabrication, and application of various polymer‐based scaffolds for treating DW.
Research on the Complexity of Oligopoly Game under Business Interruption Insurance of the Engineering Project
Authors: Li Xiao , Wang Yingying , Zhu Meihong , Ma Junhai
Published: July 2022

The convenience of business interruption insurance enables the manufacturer to develop direct channels. This dissertation discusses the price decision of duopoly manufacturers by considering the business interruption risk and the price game model of duopoly manufacturers under business interruption insurance, so that the duopoly manufacturers can produce alternative products and finally sell them to consumers. By using game theory and complex dynamics theory, combined with the numerical simulation method, the result shows that when the decision variable adjustment speed of the manufacturer is too fast, the system will fall into a state of chaos and disorder, and the introduction of business interruption insurance will increase the manufacturer’s optimal sales price and profit. It has a certain reference value to the risk management when the manufacturer faces the risk.
Application Value Analysis of Seven-Autoantibody Panel in the Lung Cancer Screening in Yunnan
Authors: Li Wenrun , Sun Yi , Xu Ning
Published: July 2022

Objective. To study the application value of seven-autoantibody (anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, and anti-PGP9.5, anti-SOX2) in lung cancer (LC) screening in Yunnan. Methods. The clinical data of 329 lung cancer patients and 202 nonlung cancer controls in the First People’s Hospital of Yunnan Province from November 2018 to April 2022 were retrospectively analyzed. The detection results of anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, anti-PGP9.5, and anti-SOX2 were collected. The receiver operating curve (ROC) was used to analyze the value of these seven-autoantibody in the detection of LC alone and in combination, and the area under the curve (AUC), sensitivity, specificity, and cut-off values were calculated. Results. The levels of anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, anti-PGP9.5 and anti-SOX2 in LC patients were significantly higher than those in the controls, and the differences were statistically significant (

P
<
0.001

). The AUC of anti-CAGE, anti-GAGE7, anti-GBU4-5, anti-MAGE A1, anti-P53, anti-PGP9.5, and anti-SOX2 for the diagnosis of LC were 0.586 (95% CI: 0.537–0.634,

P
<
0.001

), 0.620 (95% CI: 0.572–0.667,

P
<
0.001

), 0.570 (95% CI: 0.521–0.619,

P
=
0.007

), 0.612 (95% CI: 0.563–0.660,

P
<
0.007

) 0.001), 0.561 (95% CI: 0.510–0.611,

P
=
0.019

), 0.667 (95% CI: 0.619–0.715,

P
<
0.001

), 0.587 (95% CI: 0.538–0.636,

P
<
0.001

), respectively. The AUC of combined detection of LC was 0.719 (95% CI: 0.676–0.761,

P
<
0.001

). The positive rate of the combined detection of seven-autoantibody in the LC group was 48.02% (158/329), which was significantly higher than that of the control group (13.86% (28/202)), the difference was statistically significant (χ2 = 64.183,

P
<
0.001

). Conclusion. The individual detection and combined detection of the seven-autoantibody have a certain value in the diagnosis of LC in Yunnan, and it can provide a certain reference for clinical LC screening.
Concordance between Patients and Clinicians for Reporting Symptoms Associated with Treatment for Chronic Hepatitis C during a Pragmatic Clinical Trial
Authors: Reeve Bryce B. , Michael Larry , Peter Joy A. , Stewart Paul W. , Lok Anna S.-F. , Dong Meichen , Bergquist Ken , Nelson David R. , Evon Donna M.
Published: July 2022

Background. Despite high efficacy rates for direct acting antiviral regimens to cure hepatitis C virus infection, many patients experience treatment-related symptoms. Accurate reporting of adverse events is mandatory to determine drug safety. Previous research in other medical conditions has documented discordance between clinician-reported and patient-reported symptomatic adverse events. Aims. To explore concordance and associated factors, between clinician-recorded and patient-reported fatigue, headache, and nausea/vomiting during a clinical trial of three treatment regimens. Methods. Data were collected between treatment start and 31 days posttreatment. Patients completed Patient-Reported Outcomes Measurement Information System measures of fatigue and nausea/vomiting and the Headache Impact Test. Clinician-recorded data were abstracted from medical records. Concordance was evaluated by weighted kappa. Demographic and clinical factors associated with concordance were identified using logistic regression models. Results. Participants included 1,058 patients treated for chronic hepatitis C (average 54.9 years; 43% Black; 59% male). Weighted kappa estimates and 95% confidence intervals between patients (no/mild vs. moderate/severe symptoms) and clinicians (not present vs. present) were fatigue (

k
=
0.09

, 0.02-0.16), headache (

k
=
0.08

, 0.02-0.14), and nausea/vomiting (

k
=
0.20

, 0.11-0.28). Older age and having private insurance (compared to Medicaid) were associated with better headache concordance. Older age, male, absence of psychiatric condition, and ≤2 comorbidities were associated with better nausea/vomiting concordance. Conclusions. Poor concordance was observed between patient-reported and clinician-recorded symptomatic adverse events. Despite study limitations, previous literature in other conditions support these findings. Integrating patient-reported data to inform adverse event reporting would improve evaluations of treatment safety (http://CT.gov/ Registration: NCT02786537).
Kui Jie Tong Ameliorates Ulcerative Colitis by Regulating Gut Microbiota and NLRP3/Caspase-1 Classical Pyroptosis Signaling Pathway
Authors: Xue Shigui , Xue Yan , Dou Danbo , Wu Huan , Zhang Ping , Gao Yang , Tang Yini , Xia Zehua , Yang Sen , Gu Sizhen
Published: July 2022

Ulcerative colitis (UC) is one of the most refractory digestive diseases in the world. Kui jie tong (KJT) is an effective traditional Chinese medicine used clinically to treat UC. This study observed the regulatory effects of KJT on NIMA-related kinase 7- (NEK7-) activated nod-like receptor protein-3 (NLRP3)/caspase-1 classical pyroptosis pathway and intestinal flora in UC model rats. KJT components were analyzed using an ultraperformance liquid chromatography-tandem mass spectrometer (UPLC-MS/MS). A UC Sprague Dawley (SD) rat model was established using sodium dextran sulfate (DSS). Rats were randomly divided into four groups: control group (CG), UC model group (UG), KJT group (KG), and sulfasalazine (SASP) group (SG). After seven days of intervention, each group’s body weight, disease activity index (DAI) scores, and colon length were recorded. Intestinal mucosal injury to each group was observed using hematoxylin-eosin staining. Additionally, we investigated the expression levels of NEK7, NLRP3, ASC, caspase-1, and GSDMD in intestinal mucosa, as well as serum interleukin- (IL-) 1β, IL-18, and IL-33 proinflammatory factors. Intestinal microflora was analyzed using 16s rRNA sequencing. KJT controlled weight loss; decreased DAI scores; restored colon length; improved pathological injury in the colon; inhibited NEK7, NLRP3, ASC, caspase-1, cleaved-caspase-1, GSDMD, and GSDMD-N expression; and decreased IL-1β, IL-18, and IL-33 contents in UG rats’ serum and colon tissue (P <0.001 or P <0.05). KJT also increased Ruminococcaceae, unclassified_f_Ruminococcaceae, and unclassified_g_Ruminococcus_1 levels and decreased Erysipelotrichia, Erysipelotrichales, Erysipelotrichaceae, Turicibacter, and uncultured_bacterium_g_Turicibacter levels. KJT alleviated UC immune-inflammatory responses to NLRP3/caspase-1 by inhibiting the NEK-7-activated classic pyroptosis pathway and improving intestinal microflora.
Art Painting Image Classification Based on Neural Network
Authors: Liu Xiaodong
Published: July 2022

Neural network (NN) is among the most important and vital form of artificial intelligence which are utilized for the classification of data, information, or images. Moreover, NN has been extensively utilized in various research domains throughout the world, and it is because of overwhelming properties. Painting is a form formed by China’s long history and culture, and a large number of paintings reflect the living conditions of China in different periods, which is of great value to the development of China’s culture. Image classification has become a key research content in the field of image in the stage of rapid development of information technology, and the content of art painting image classification has also developed rapidly. At present, most traditional image classification methods are formed on the basis of shallow structure learning algorithm, and there are many types of image features that can be extracted, but some features will be lost when extracting, and we need to master the basic painting knowledge. As a result, this extraction process is not general, which explains why traditional Chinese art picture classification is not ubiquitous. The fast development of big data technology and neural network algorithms in recent years has the potential to speed up the categorization of art painting images. As a result, this research investigates the use of neural networks to classify art painting images. The painting image classification method based on artistic style is used to determine the styles of distinct creative works, and the painting image classification algorithm based on saliency is then used to categorize the picture semantics. Finally, a dataset for testing the categorization impact of art painting pictures is developed. The results show that the neural network algorithm can significantly improve the classification effect of art painting images with higher accuracy.
[Retracted] Systematic Review and Meta‐Analysis of Complications after Laparoscopic Surgery and Open Surgery in the Treatment of Pelvic Abscess
Authors: Chen Xiaolu , Su Jun , Xu Lina , Zhang Huiping
Published: July 2022

Background. Pelvic abscess surgery consists mostly of open laparotomy and laparoscopic surgery. Open surgery is regarded as a classic procedure. With the rise and promotion of laparoscopic indications in recent years, comparative studies of the two’s postoperative effectiveness have been limited. Objective. To compare the clinical effects of laparoscopic exploratory surgery and open surgery in the treatment of pelvic abscess. Methods. Through computer searches of PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu databases, we found publicly available case‐control research on laparoscopic surgery and open surgery for treating pelvic abscess. The papers that met the evaluation criteria were screened, and meta‐analysis was used to look at 8 papers on laparoscopic surgery and open surgery for treating pelvic abscess from 2010 to 2021. Results. The results of this study showed that compared with the open laparotomy group, the incidence of laparoscopic group in the incision infection rate (RR = 0.29, 95% CI (0.20, 0.41), and P < 0.00001), the incidence of intestinal injury (RR = 0.08, 95% CI (0.04, 0.14), and P < 0.00001), incidence of intestinal obstruction (RR = 0.26, 95% CI (0.08, 0.90), and P = 0.03 < 0.05), and postoperative pelvic abscess recurrence rate (RR = 0.34, 95% CI (0.13, 0.86), and P = 0.02 < 0.05) are lower than open surgery, and the difference of these four items is statistically significant. There was no difference in the risk of urinary tract injury between laparoscopic surgery and open surgery (RR = 0.92, 95% CI (0.27, 3.17), and P = 0.89 > 0.05). Conclusion. In terms of incision infection, intestinal damage, intestinal obstruction, and recurrence of pelvic abscess, the laparoscopic group clearly outperforms the open group, and it merits clinical promotion and use.
Fractional-View Analysis of Space-Time Fractional Fokker-Planck Equations within Caputo Operator
Authors: Alshammari Saleh , Iqbal Naveed , Yar Mohammad
Published: July 2022

In this article, we investigate the fractional-order Fokker-Planck equations with the help of the Yang transform decomposition method (YTDM). The YTDM combines Yang transform, Adomian decomposition method, and Adomian polynomials into one method. In the Caputo sense, fractional derivatives of space and time are studied. The convergent series form solution demonstrates the method’s efficiency in resolving several types of fractional differential equations. Compared to other methods of finding approximate and exact solutions for nonlinear partial differential equations, this technique is more efficient and time-consuming.
Higher Education Management and Student Achievement Assessment Method Based on Clustering Algorithm
Authors: Wang Zhihui
Published: July 2022

Monitoring and guiding instructional management require student performance evaluation. Traditional evaluation and analysis methods based on absolute scores, on the other hand, have certain flaws and are unable to fully reflect the information contained in student performance, thus limiting the impact of student performance evaluation on teaching and learning management. Data mining is regarded as the backbone technology for future information processing, and it introduces a new concept to the way humans use data. Schools must analyse and evaluate the performance of students in the same grade level and secondary school in a timely and staged manner. Clustering is a type of data mining that uses similarity rules to classify sample data into groups with a high degree of similarity. To address the difficulties caused by the wide variation in course difficulty in student performance evaluation, a method based on the K-means clustering algorithm is proposed. The K-means algorithm and the improved K-means algorithm with student information are investigated. The test results showed that the K-means clustering algorithm, the improved algorithm in this paper, and the fast global mean clustering algorithm all cluster the same randomly generated data set with noisy points, but the clustering time of the algorithm in this paper is only 0.04, which has obvious advantages. As a result, the clustering algorithm-based higher education management and student performance evaluation mechanism provides some insights for future research on student learning patterns. It is hoped that instructional administrators will gain a better understanding of students’ learning characteristics so that they can better guide their teaching.
Intelligent Campus Resource Sharing System Based on Data Fusion Sensor
Authors: Huang Guangshun
Published: July 2022

In order to make full use of the large amount of teaching data existing in the data center, the author proposes a mining algorithm using classification technology and association rules in data mining technology; the teaching quality evaluation data and student achievement data were mined. By constructing the C4.5 decision tree algorithm, this method taps the potential links between teachers’ professional titles, degrees, ages, and teaching quality evaluation results, through correlation analysis theory; the correlation between professional courses was mined from the student’s course achievement database, and some reasonable and reliable course association rules were obtained. Experimental results show that the correct rate of C4.5 decision tree algorithm under different sampling times is above 80%. The conclusions drawn have certain guiding significance for college teaching and personnel training.
Recent Breakthrough of Bismuth‐Based Nanostructured Materials for Multimodal Theranostic Applications
Authors: Ganapathy Dhanraj , Shivalingam Chitra , Shanmugam Rajeshkumar , Sundramoorthy Ashok K. , Murthykumar Karthikeyan , Pitchiah Sivaperumal , Sekaran Saravanan , Ramachandran Sathish Kumar
Published: July 2022

Cancer is a lethal disease ravaging mankind claiming millions of lives. Most frequent methods of management include surgery, radiotherapy, chemotherapy, or a combination of all the above‐mentioned methods. However, there is no specific medication available to cure this condition completely and several compounds and drugs are constantly explored for their therapeutic effects. Recently, photothermal therapy, photodynamic therapy, radiotherapy, targeted drug delivery, and hyperthermia have shown to be of great interest in cancer treatment. In this direction, bismuth oxide (Bi2O3) nanoparticles can be a promising option in cancer treatment and diagnosis as well. Bi is a well‐known radioactive isotope; this emits high‐energy gamma (γ) rays to the affected cells. This technology can pair with existing chemotherapy to enhance the therapeutic efficacy.
Construction and Analysis of Public Management System Indicators Based on AHP (Analytic Hierarchy Process)
Authors: Zhao Pengcheng , He Peiling
Published: July 2022

In the era of intelligent network, my country’s public management services are in a transition period, and many problems have gradually occurred, which have a certain impact on public management. In the previous management mode, the latest management requirements could not be met, and there were many problems in the actual management process. With the rapid development of social economy, public management is the key to promote social development. Only by constructing a reasonable index system of public management can public management play its due role in the era of rapid development. Therefore, this paper uses Bohr formula, Shannon formula, and entropy weight method to construct the public management system index based on AHP. The research results of this paper are in the stage of model checking, and the accuracy of this method is the highest in different data sets. The accuracy of big data analysis method and the original method decreases with the increase of data sets, which reflects the obvious advantages of this method. The response time of big data analysis methods increases gradually due to the increase of data sets, but the method in this paper grows slowly. All indicators show that the constructed public management index system has high reliability and validity.
Effects of Self-Care plus Forecasting Nursing on the Treatment Outcomes and Emotions in Patients with Nasopharyngeal Carcinoma after Radiotherapy
Authors: Chen Liqun , Yao Wei , Ding Lili
Published: July 2022

Objective. To explore the effects of self-care plus forecasting nursing on the treatment outcomes and emotions in nasopharyngeal carcinoma patients undergoing radiotherapy. Methods. Eighty nasopharyngeal carcinoma patients after radiotherapy admitted to our hospital from February 2020 to August 2021 were selected. The patients were allocated into an observation group (n = 40) and an experimental group (n = 40) according to different nursing protocols. The observation group received traditional nursing intervention, whereas the experimental group received self-care plus forecasting nursing intervention. The levels of the indexes (quality of life, score on the Zung Self-Rating Anxiety Scale (SAS), score on the Zung Self-Rating Depression Scale (SDS), and adverse reaction) were compared between the two groups. Results. The score of the experimental group for the quality of life was significantly higher than that of the observation group (

P
<
0.05

); the SAS and SDS scores of the experimental group after nursing intervention were significantly lower than those of the observation group (

P
<
0.05

); the incidence of adverse reactions in the experimental group during radiotherapy was significantly lower than that of the observation group (

P
<
0.05

). Conclusion. The self-care plus forecasting nursing intervention is effective in postradiotherapy patients with nasopharyngeal carcinoma. The technique is proved effective to improve the quality of life, reduce anxiety and depression, and decrease the incidence of adverse reactions in patients during treatment. These features make the technique worthy of a wider clinical application.
A New Interactive Web-Based Polytomous Key for Species Identification of Pin Nematodes of the Genus Paratylenchus Micoletzky, 1922 (Nematoda: Paratylenchinae) with the Use of Ribosomal and Mitochondrial Genes
Authors: Palomares-Rius Juan E. , León-Ropero Guillermo , Clavero-Camacho Ilenia , Archidona-Yuste Antonio , Cantalapiedra-Navarrete Carolina , Castillo Pablo
Published: July 2022

Pin nematodes of the genus Paratylenchus comprise 140 species. This group of nematodes is characterized by a quite homogeneous morphology and cosmopolitan distribution and is prevalent in cultivated and natural soil ecosystems. The present study describes the first interactive and illustrated web-assisted polytomous identification key for the genus Paratylenchus. The updated Paratylenchus species polytomous key was based on a wide list of 24 diagnostic characters generated for the 140 species comprising this genus. Here we developed a web-assisted method to achieve an easy and accurate Paratylenchus species characterization that will greatly improve the identification of these plant-parasitic nematodes for many diagnostic laboratories and researchers. However, this identification needs to be completed with the use of molecular markers available for the species due to the existence of species complexes studied in former researches. This idea is pointed in the polytomous key in the specific species complexes up-to-know. In some cases, the presence in the soil as survival stage of few individuals in the fourth-stage juvenile (J4) required the use of molecular markers for species identification. We suggest the use of at least a fragment of mitochondrial COI gene for species identification or the combination of nuclear D2-D3 regions of the 28S rRNA and the COI to complement each marker. However, for some species complexes, the use of the D2-D3 regions alone has not enough resolution to separate the putative species inside the species complex. Web-based polytomous key was constructed using the free software Xper3, for computers and mobile devices (smartphones, tablets, and pocket PCS).
Application and Legal Governance of Computational Technologies in Credit Investigation: An Interdisciplinary Perspective
Authors: Zhang Ying , Xie Zhen , Qu Xiuwei
Published: July 2022

The purpose of this interdisciplinary study is to investigate the applications of modern computational technologies in the field of credit investigation and discuss the related legal governance measurements in order to unblock the bottlenecks in the future development of credit investigation market. By analyzing the computational technologies and algorithms most commonly used in credit data collection and data storage, data transmission and data access, data analysis and processing, data calculation, result output and effect evaluation, this paper summarizes and proposes a unified general process of modern credit investigation, pointing out that in this general process, low data quality, privacy violation, algorithmic bias are the main challenges in the big data era, and countermeasures like data quality control, privacy protection, and algorithm governance need to be to be taken seriously into account in order to further explore the great potential of the credit investigation under the legal framework.
The Application of Grey Relational Analysis in the Evaluation of Financial Auditing Effect and Improvement
Authors: Wang Dongliang
Published: July 2022

Financial institutions are confronting more complicated risks as a result of the current financial crisis. Financial auditing is an essential aspect of government auditing since it serves to protect the security and stability of the national financial system by evaluating financial systemic vulnerabilities. Therefore, this paper combines the grey relational analysis to carry out research work on the financial auditing effect and improvement evaluation. Firstly, we conducted a preliminary selection of relevant financial audit impact indicators and identified the design of the influencing factor system as well as appropriate data for the influencing factors, resulting in the first evaluation system of the evaluation indicators. Secondly, we created a factor set for evaluating the financial audit improvement effect. The completed task proportion component and the task completion quality factor are the two kinds of improvement impact evaluation factors. On this foundation, this research develops a grey correlation-based assessment model for audit effect enhancement. The residual graph fitting findings indicate that the scheme has a good implementation impact and may be utilised to assess the financial auditing improvement effect.
In Vivo Distribution and Therapeutic Efficacy of Radioiodine-Labeled pH-Low Insertion Peptide Variant 3 in a Mouse Model of Breast Cancer
Authors: Zhang Min , Xi Yue , Chen Hong , Hai Wangxi , Li Biao
Published: July 2022

Purpose. Extracellular acidity is a marker of highly aggressive breast cancer (BC). pH-low insertion peptides (pHLIPs) target the acidic tumor microenvironment. This study evaluates the distribution and therapeutic efficacy of radioiodine-labeled pHLIP variant 3 (Var3) in a mouse model of BC. Methods. The binding of fluorescein isothiocyanate (FITC)- or radioiodine-125 (125I) labeled Var3-pHLIP to MDA-MB-231, 4T1, and SK-BR-3 BC cell lines under different pH values was evaluated in vitro. The distribution of 125I-labeled Var3-pHLIP and wild-type- (WT-) pHLIP in tumor-bearing mice was analyzed in vivo using micro-SPECT/CT imaging. The therapeutic efficacy of radioiodine-131 (131I)-labeled Var3-pHLIP in MDA-MB-231 xenografts was evaluated by relative tumor volume measurement and immunohistochemical analysis. Results. The binding ability of FITC- or 125I-labeled Var3-pHLIP to tumor cells increased with the decrease in pH. The tumor-to-background ratio of 125I-Var3-pHLIP in BC xenografts showed the best imaging contrast at 24 h or 48 h postinjection. The uptake of 125I-Var3-pHLIP in MDA-MB-231 xenografts at 2 h postinjection was significantly higher than that of 125I-WT-pHLIP ([Formula: see text] vs. [Formula: see text]%ID/g, [Formula: see text]). The relative tumor volume in MDA-MB-231 xenografts was significantly lower in the 131I-Var3-pHLIP-treated group than in the groups treated with Var3-pHLIP ([Formula: see text]), 131I ([Formula: see text]), and saline ([Formula: see text]). The 131I-Var 3-pHLIP group presented a lower expression of Ki67 and a higher expression of caspase 3. Conclusion. Radioiodine-labeled Var3-pHLIP effectively targeted BC cells in an acidic environment and inhibited the growth of MDA-MB-231 xenografts by ionizing radiation.
A Note on Some New Generalized Wavelets
Authors: Zothansanga A. , Khanna Nikhil , Kaushik S. K. , Kumar Dilip
Published: July 2022

In this paper, we define new real wavelets based on the Hartley kernel and Boas transforms. These wavelets have possible application in analyzing both the symmetries of an asymmetric real signal. We give various results to obtain their higher vanishing moments. Finally, we give a sufficient condition under which Hartley‐Boas‐Like wavelets associated with Riesz projector forms a convolution filter with transfer function vanishing for the positive frequencies.
Microbiological Profile and Drug Resistance Analysis of Postoperative Infections following Orthopedic Surgery: A 5-Year Retrospective Review
Authors: Elifranji Zuhdi O. , Haddad Bassem , Salameh Anas , Alzubaidi Shehadeh , Yousef Noor , Al Nawaiseh Mohammad , Alkhatib Ahmad , Aburumman Razan , Karam Abdulrahman M. , Azzam Muayad I. , Alshrouf Mohammad A.
Published: July 2022

Background. The distribution of postoperative orthopedic infection and their susceptibility pattern to antibiotics vary regionally and change over time. The incidence of methicillin-resistant Staphylococcus aureus infection is rising worldwide. Therefore, knowledge of the frequency of the causative microorganisms and their susceptibility to antibiotics are necessary for an improved therapeutic outcome. This study aims to study the frequency and distribution of postoperative orthopedic infection and their resistance pattern to antibiotics. Methods. The study utilized a retrospective design that took place over a period of 5 years from 2016 and 2020 at a tertiary care hospital. The bacterial culture testing was performed by a recommended method. Descriptive statistics were used to analyze the data. Results. A total of 158 patients (100 males and 58 females) with positive cultures of postoperative orthopedic infection were included. The most common infective organism was Staphylococcus aureus, 64 patients (38.1%); coagulase-negative staphylococci, 40 patients (23.8%); Klebsiella species, 14 patients (8.3%); and Enterococcus species, Escherichia coli, and Pseudomonas aeruginosa in 10 patients (6%). Data also showed that gram-positive bacteria were detected in 118 patients (70.8%), while gram-negative microorganisms were found in 50 patients (29.8%). Among Staphylococcus aureus, 79.7% were MRSA, and vancomycin was the most effective antibiotic in staphylococcus infections. The antibiotics with the greatest sensitivity to gram-positive bacteria were vancomycin, linezolid, tigecycline, moxifloxacin, and nitrofurantoin, while the antibiotics for gram-negative bacteria with greater sensitivity were tigecycline, amikacin, ertapenem, imipenem, and cefotaxime. Conclusion. Staphylococcus aureus is the most common postoperative orthopedic infection, which was predominantly MRSA with vancomycin being the most effective antibiotic. In addition, the results showed a high resistance pattern to the commonly used antibiotics, leaving few choices. Antibiotic agents should be carefully selected according to specific drug sensitivity through routine monitoring of drug resistance patterns and to help formulate hospital antibiotic policy.
Factors Predicting the Reversal of Hartmann’s Procedure
Authors: Yalkın Ömer , Altıntoprak Fatih , Uzunoğlu Mustafa Yener , Yıldız Yasin Alper , Kamburoğlu Muhammet Burak , Fırat Necattin , Çelebi Fehmi
Published: July 2022

Aim. This paper investigates the risk factors preventing the reversal and nonreversal of Hartmann’s procedure, as a surgical technique that has been performed in our clinic for ten years. Methods. The study involved a ten‐year Hartmann’s procedure followed up at our center. The patients were divided into Hartmann reversal and nonreversal groups. Groups were examined in terms of age, gender, diagnosis, stage of malignancy, ASA score, comorbidity, perioperative morbidity‐mortality, and the length of the operation. Results. Age (p < 0.001), ASA score (p < 0.001), stage in case of malignancy (p = 0.002), and comorbidities (p < 0.001) were significant risk factors. The ratio of patients without any comorbidities to those with one or more comorbidities was 2.63 (95% CI 1.12–6.20). Among the malignant patients, the ratio of early‐stage patients to advanced‐stage patients in the group with reversal of Hartmann’s colostomy was 2.82 (95% CI 1.30–6.10). In addition, the ratio of older patients to younger patients in group 2 was 0.95 (95% CI 0.92–0.98). A univariate analysis revealed that younger patients, those with lower ASA scores, those without comorbidities, and those with early‐stage malignancy had a greater chance of closure of the stoma. Conclusion. Although Hartmann’s procedure is performed in emergency surgery, the nonreversal of the colostomy is a problem in itself. It should be kept in mind that patients who have high risks are likely to have a permanent stoma.
Turbulence Characteristics of Cavitating Flows Downstream of Triangular Multiorifice Plates
Authors: Zhang Kai , Dong Zhiyong , Shi Meixia
Published: July 2022

Cavitating flow fields downstream of triangular multiorifice plates with different geometrical parameters were measured by PIV technique, and effects of orifice size, orifice number, and orifice layout on turbulence intensity and Reynolds stress were analyzed. The experimental results showed that the turbulence intensity and Reynolds stress downstream of the different multiorifice plates exhibited sawtooth-like profiles. Decrease in orifice size, increase in orifice number, and taking staggered layout could contribute to intensification of turbulence mixing and shear effects of multiple cavitating jets downstream of the multiorifice plates and thus reaching the expected cavitation effects.
Verification of Some Topological Indices of Y‐Junction Based Nanostructures by M‐Polynomials
Authors: Azeem Muhammad , Jamil Muhammad Kamran , Javed Aisha , Ahmad Ali
Published: July 2022

The concept of M‐polynomials determines the algebraic form of a system or network. It creates a structure into an algebraic equation and makes work easy to do on such a structure. This has diverse uses in different applied mathematics and as well as in engineering fields. In this study, we look closely at the abstract form of Y‐shaped junctions. For the generic view of Y‐shaped junctions, we developed some vertex‐degree‐based M‐polynomials formulas. On Y‐shaped junctions, we discussed some topological index‐based concepts as well and verified the results available in the literature.
Reproductive Variability in Hippolytid Shrimp Shape Morphotypes
Authors: Anastasiadou Chryssa , Papathanasiou Vasillis , Giagkatzoglou Zoi , Gubili Chrysoula , Kamidis Nikolaos , Liasko Roman , Batjakas Ioannis E.
Published: July 2022

Shape morph-specific studies in hippolytid shrimps revealed significant results on their ecomorphology and evolutionary adaptations. Among the species of the genus Hippolyte, only one exhibits an unusual, sharp rostral dimorphism and has been used as an animal model for the investigation of mechanisms of the morph-specific adaptation: the intertidal Hippolyte sapphica. The species is endemic of the Central/Eastern Mediterranean basin and exhibits morph-A with a long dentate rostrum and morph-B with a short, juvenile-like one. The two morphotypes were recently confirmed to be conspecific, while offspring and morphological studies showed significant microevolutionary adaptations, which balance the disadvantage of the “rostral loss.” The present study aims to investigate the effect of such phenotypic variation on the reproductive traits of the species. We collected ovigerous females of H. sapphica in mixed (morph-A and morph-B) and unmixed populations (morph-A) along the species geographical range. We measured seven morphometric and maternal investment traits: carapace length, fecundity, embryo volume, egg density, female dry weight, brood dry weight, and reproductive output. Our results showed that ovigerous females were bigger in morph-A than in morph-B, whereas fecundity did not show any significant differences between the two morphotypes. High egg volume might be attributed to the latitudinal differences of our sampling sites compared to congenerics. Interestingly, the reproductive output was found to be bigger in morph-A specimens, suggesting that the maternal energy investment is selectively determined from the rostral presence/absence and the morphotype’s higher viability in the species populations.
Fruit and Vegetable Peel-Enriched Functional Foods: Potential Avenues and Health Perspectives
Authors: Bhardwaj Kanchan , Najda Agnieszka , Sharma Ruchi , Nurzyńska-Wierdak Renata , Dhanjal Daljeet Singh , Sharma Rohit , Manickam Sivakumar , Kabra Atul , Kuča Kamil , Bhardwaj Prerna
Published: July 2022

Fresh fruit and vegetables are highly utilized commodities by health-conscious consumers and represent a prominent segment in the functional and nutritional food sector. However, food processing is causing significant loss of nutritional components, and the generation of waste is creating serious economic and environmental problems. Fruit and vegetables encompass husk, peels, pods, pomace, seeds, and stems, which are usually discarded, despite being known to contain potentially beneficial compounds, such as carotenoids, dietary fibers, enzymes, and polyphenols. The emerging interest in the food industry in the nutritional and biofunctional constituents of polyphenols has prompted the utilization of fruit and vegetable waste for developing enriched and functional foods, with applications in the pharmaceutical industry. Moreover, the utilization of waste for developing diverse and crucial bioactive commodities is a fundamental step in sustainable development. Furthermore, it provides evidence regarding the applicability of fruit and vegetable waste in different food formulations especially bakery, jam, and meat based products.
Applications of Karry-Kalim-Adnan Transformation (KKAT) to Mechanics and Electrical Circuits
Authors: Iqbal Karry , Kalim Muhammad , Khan Adnan
Published: July 2022

In this paper, we have used the new integral transformation known as Karry-Kalim-Adnan transformation (KKAT) to solve the ordinary linear differential equations as well as partial differential equations. We have used KKAT to solve the problems of engineering and sciences specially electrical and mechanical problems. Also, we have established the comparison between KKAT and existing transformations. We have determined the KKAT of error functions and complementary error function. The fundamental purpose of this research paper is to transform the given problem into the easier form to get its solution.
Effect of Thymosin on Inflammatory Factor Levels, Immune Function, and Quality of Life in Lung Cancer Patients Undergoing Radical Thoracoscopic Surgery
Authors: Zhao Junjie , Niu Niu , He Zhengfu
Published: July 2022

Purpose. To explore the effect of thymosin on inflammatory factor levels, immune function, and quality of life in patients undergoing radical thoracoscopic lung cancer surgery. Methods. One hundred and twenty patients admitted to the Surgical Oncology Department of the First Hospital of Jiaxing from January 2018 to January 2019 were randomized into the study group and the control group using the random number table method, with 60 cases in each group. The control group was treated with radical thoracoscopic lung cancer surgery, and the study group was treated with radical thoracoscopic lung cancer surgery combined with thymosin. The clinical efficiency, inflammatory factors, immune function, and quality of life between the two groups of patients were compared. Results. There was no significant difference between the two groups in terms of pathological stage, tissue type, maximum tumor diameter, and perioperative indicators such as operative time, intraoperative bleeding, pleural drainage, hospital stay, and the number of intraoperative lymph nodes removed. The levels of CD4 (+%), CD8 (+%), CD4+/CD8+, and natural killer cell (NK) (%) were significantly decreased in both groups after treatment, with significantly higher results in the study group than in the control group. The study group had significantly lower serum interleukin-6 (IL-6) levels and higher interleukin-10 (IL-10) levels than the control group. After treatment, patients in the study group had better postoperative physiological status and overall score than the control group. There was no significant difference in postoperative survival and adverse reactions between the two groups. Conclusion. The use of thymosin treatment in lung cancer patients undergoing radical thoracoscopic surgery significantly improves immune function, mitigates inflammatory response, and enhances the quality of life, which is worthy of clinical application.