bluuebunny/crossref_metadata_2025 huggingface dataset:
Nrf2-Dependent Protective Effect of Paeoniflorin on α-Naphthalene Isothiocyanate-Induced Hepatic Injury
Authors: Mao Liuliu , Chen Jun , Cheng Kang , Dou Zhihua , Leavenworth Jonathan D. , Yang Hengyue , Xu Diyuan , Luo Lin
Published: June 2022

The pathological mechanism of cholestatic hepatic injury is associated with oxidative stress, hepatocyte inflammation, and dysregulation of hepatocyte transporters. Paeonia lactiflora Pall. and its compound can improve hepatic microcirculation, dilate bile duct, and promote bile flow, which is advantageous to ameliorate liver damage. Paeoniflorin (PEA), as the main efficacy component of Paeonia lactiflora Pall., has multiple pharmacological effects. PEA improves liver injury, but it remains obscure whether the protective action on [Formula: see text]-naphthalene isothiocyanate (ANIT)-induced cholestatic liver injury is dependent on the NF-E2 p45-related Factor 2 (Nrf2) signaling pathway. In this study, C57BL/6 mice were administrated with 80 mg⋅kg[Formula: see text]⋅d[Formula: see text] ANIT followed by PEA (75, 150, and 300 mg⋅kg[Formula: see text]⋅d[Formula: see text]) orally for 10 days, respectively. Tissue histology and liver function were detected, including serum enzymes, gallbladder (GB) weight, phenobarbital-induced sleeping time (PEN-induced ST), hepatic uridine di-phosphoglucuronosyltransferase (UDPG-T), malondialdehyde (MDA), and glutathione (GSH). The expressions of protein Nrf2, sodium taurocholate cotransporting polypeptide (Ntcp), and NADPH oxidase 4 (Nox4) were evaluated. Nrf2 plasmid or siRNA-Nrf2 transfection on LO2 cells and Nrf2−/− mice were used to explore the liver protective mechanism of PEA. Compared to ANIT-treated mice, PEA decreased serum levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), total bilirubin (TBIL), direct bilirubin (DBIL), total bile acid (TBA), and phenobarbital-induced sleeping time. The bile secretion, hepatic UDPG-T, MDA, GSH, and liver histology were improved. The expressions of protein Nrf2 and Ntcp in liver tissues increased, but Nox4 decreased. After Nrf2 plasmid or small interfering RNA (siRNA)-Nrf2 transfection, the protective effects of PEA on LO2 cells were, respectively, strengthened or weakened. Moreover, PEA had no significant effects on ANIT-treated Nrf2−/− mice. Our results suggest that Nrf2 is essential for PEA protective effects on ANIT-induced liver injury.
Social Innovation: Drawing and Analysis with Using Research in Scientific Base
Authors: Sadabadi Ali Asghar , Ramezani Saeed , Fartash Kiarash , Nikijoo Iman
Published: June 2022

The purpose of this study is to analyse the structure of social network co-occurrence and co-authorship of scientific documents of social innovation which are indexed in Scopus database. By using scientometric and network analysis techniques, the records were retrieved and integrated. It has been used a combination of software packages, including VOSviewer, Gephi, HistCite, Publish or Perish and NodeXL, for data analysis and mapping. Analysing all keywords shows that the most important keywords, based on frequency distribution, are innovation, sustainable growth and social entrepreneurship. Thematic mapping of the keywords using co-words analysis technique indicates that the topics innovation, social services and social change had top ranking in degree centrality, closeness centrality and betweenness indicators. The analysis of the co-authorship network of the field demonstrated that it is disconnected and sparse. Moreover, the total number of citations was 8,350. Mapping the knowledge structure of social innovation papers extracted from Scopus database could help to represent and visualise the thematic structure of research in the field of Social Science and Knowledge Studies and identify more specific research focuses within this field. It should be noted that in this study, the importance of concepts such as innovation, sustainable development and social entrepreneurship has been confirmed by reviewing the literature on these issues.
Chronic knee osteoarthritis: Relationships of body mass index and selected psychosocial factors among Nigerians
Authors: Odole Adesola , Ekediegwu Ezinne , Ekechukwu E. N. D.
Published: June 2022

Background: Knee Osteoarthritis is the most commonly affected joint among Africans. There is a shred of preliminary evidence that a high body mass index (BMI) is associated with high kinesiophobia. Little is known about the relationships of psychosocial factors such as Kinesiophobia, Pain Catastrophizing (PC), Self-Efficacy (SE), and BMI among Nigerians with knee OA.

Objective: This study aims to determine the relationships between BMI and selected psychosocial factors (kinesiophobia, pain catastrophizing, and self-efficacy) among individuals with knee OA in Nigeria.

Methods: Seventy-seven consecutively sampled patients diagnosed with knee OA from three selected public hospitals in Enugu, South-East Nigeria, participated in this cross-sectional survey. Brief Fear of Movement Scale for Osteoarthritis (BFMSO), Pain Catastrophizing Scale (PCS), and Arthritis Self-Efficacy Scale-8 item (ASES-8 item) were used to assess Kinesiophobia, PC, and SE, respectively. Also, a stadiometer and weighing scale were used to determine height and weight respectively. Data were analyzed using Pearson’s correlation coefficient at [Formula: see text] and multiple linear regression.

Results: Participants were aged [Formula: see text] years. Female participants had a higher BMI ([Formula: see text]) than the males ([Formula: see text]). The mean scores for BMI of the right knee, left knee, and bilateral knees were [Formula: see text], [Formula: see text], and [Formula: see text], respectively. Significant positive correlations were found between BMI and PC ([Formula: see text]) whereas significant negative correlations existed between BMI and SE ([Formula: see text]). Significant predictive markers of BMI were PC ([Formula: see text]) and SE ([Formula: see text]).

Conclusion: Body mass index, PC, and SE correlate significantly in individuals with knee OA. The results call for the routine integration of psychologically-informed physiotherapy practice in the management of knee OA.
Microlithic occurrences associated with sediments dated to terminal Pleistocene–Late Holocene in the central Narmada Basin, Madhya Pradesh, India
Authors: Tiwari Nupur , Morthekai P. , Krishnan K. , Chauhan Parth R.
Published: June 2022

The earliest occurrence of microliths in South Asia dates back to the Late Pleistocene at Mehtakheri (45 ka) and Dhaba (48 ka) in Central India, Jwalapuram 9 in Southern India (38 ka), Kana and Mahadebbara in Northeastern India (42–25 ka) and Batadomba-Lena (35–36 ka) and Fa Hien Lena (48 ka) in Sri Lanka. Microlithic technology is distributed across the entire Indian Subcontinent and chronologically continues up to the Iron Age and Early Historic periods. This chapter discusses new data acquired from the first author's doctoral research in the two districts of Madhya Pradesh (Hoshangabad – now renamed Narmadapuram – and Sehore), which fall within the central part of the Narmada Basin in central India. We present here preliminary dates from key areas of distribution to understand the geochronological contexts of microliths at Pilikarar, Morpani and Gurla-Sukkarwada. Initial dates from these respective occurrences range between 14 ka and 3 ka.
The Life of SARS-CoV-2 Inside Cells: Replication–Transcription Complex Assembly and Function
Authors: Lou Zhiyong , Rao Zihe
Published: June 2022

The persistence of the coronavirus disease 2019 (COVID-19) pandemic has resulted in increasingly disruptive impacts, and it has become the most devastating challenge to global health in a century. The rapid emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants challenges the currently available therapeutics for clinical application. Nonstructural proteins (also known as replicase proteins) with versatile biological functions play central roles in viral replication and transcription inside the host cells, and they are the most conserved target proteins among the SARS-CoV-2 variants. Specifically, they constitute the replication–transcription complexes (RTCs) dominating the synthesis of viral RNA. Knowledge of themolecular mechanisms of nonstructural proteins and their assembly into RTCs will benefit the development of antivirals targeting them against existing or potentially emerging variants. In this review, we summarize current knowledge of the structures and functions of coronavirus nonstructural proteins as well as the assembly and functions of RTCs in the life cycle of the virus.
Dietary nitrate increases submaximal SERCA activity and ADP transfer to mitochondria in slow-twitch muscle of female mice
Authors: Petrick Heather L. , Brownell Stuart , Vachon Bayley , Brunetta Henver S. , Handy Rachel M. , van Loon Luc J.C. , Murrant Coral L. , Holloway Graham P.
Published: June 2022

We show that nitrate supplementation increased force production during fatigue and increased submaximal SERCA activity. This was also evident regarding the high-energy phosphate transfer from SERCA to mitochondria, as nitrate increased mitochondrial respiration supported by SERCA-derived ADP. Surprisingly, these observations were only apparent in muscle primarily expressing type I (soleus) but not type II fibers (EDL). These findings suggest that alterations in SERCA properties are a possible mechanism in which nitrate increases force during fatiguing contractions.
A Study of Artificial Intelligence-Based Poster Layout Design in Visual Communication
Authors: Huo Huiyu , Wang Feng
Published: June 2022

In visual communication design, the basic design elements include four types of text, graphics, colour, and layout. While the first three can be called visual elements, layout design is the functional arrangement of visual elements. Layout design is as much about making the viewer receive visual information as it is about making them feel attractive. The combination of artificial intelligence and layout design has now become a popular direction in the field of visual communication design. However, the automatic layout design process achieved through an a priori design framework still requires human involvement and is a semi-intelligent application. To solve the above problems, this study proposes a poster layout design method based on artificial intelligence. The layout composition method consists of a learner and a generator. Firstly, the learner uses the spatial transformation network to learn the classification of layout composition elements and form the initial layout design templates for different composition cases. Secondly, the generator optimises the initial template based on the LeNet architecture using the golden ratio and trilateration parameters to produce multiple optimised templates. The templates are then stored in a library of corresponding templates according to their composition and framing style. The experimental results show that the proposed poster layout composition method achieves a higher accuracy rate than existing methods.
Treatment with Distinct Antibiotic Classes Causes Different Pulmonary Outcomes on Allergic Airway Inflammation Associated with Modulation of Symbiotic Microbiota
Authors: Cavalcante Gregório Grama , Guimarães Anna Gabriella , Queiroz-Glauss Camila Pereira , Gonçalves Pereira Marcela Helena , Dias Angélica Samer Lallo , Horta Laila Sampaio , de Oliveira Jamil Silvano , Cangussú Silvia Dantas , Magalhães Paula Prazeres , Russo Remo Castro , Santiago H. C.
Published: June 2022

Background. Asthma is a chronic pulmonary disease that affects about 300 million people worldwide. Previous studies have associated antimicrobial use with allergies, but the real impact of antibiotics on asthma is still elusive. We investigated the potential impact of amoxicillin (Amox), trimethoprim/sulfamethoxazole (TMP/SMX), and metronidazole (Metro) in a murine model of OVA-induced allergic airway inflammation. Methods. BALB/c mice received three cycles of 7 days of antibiotics in drinking water followed by 7 days washout and were sensitized i.p. with OVA/Alum at days 0 and 14. After the end of the last antibiotic washout, the mice were challenged with aerosolized OVA. Pulmonary parameters were evaluated, and serum, BAL, and feces were collected for analysis. Results. Amox- and TMP/SMX-treated animals displayed more severe allergic airway inflammation parameters with increased airway hyperresponsiveness, reduced lung alveolar volume, and increased levels in BAL of IL-4 and IL-6. In contrast, Metro-treated mice showed preserved FEV-50, decreased lung inflammation, and higher levels of butyrate and propionate in their feces. Metro treatment was associated with increased OVA-specific IgA in serum. BAL microbiota was abundant in allergic groups but not in nonallergic controls with the Amox-treated group displaying the increased frequency of Proteobacteria, while Metro and TMP/SMX showed increased levels of Firmicutes. In the gut, we observed the enrichment of Akkermansia muciniphila associated with reduced airway inflammation phenotype in the Metro group, even after the recovery period. Conclusion. Our data suggest that different antibiotic treatments may impact the course of experimental allergic airway inflammation in diverse ways by several mechanisms, including modulation of short-chain fat acids production by intestinal microbiota.
Improvement of Myocardial Cell Injury by miR-199a-3p/mTOR Axis through Regulating Cell Apoptosis and Autophagy
Authors: Wu Weixiong , Chen Xingfeng , Hu Qingyang , Wang Xuefei , Zhu Jingyu , Li Qianzhen
Published: June 2022

Background. Myocardial ischemia-reperfusion injury (MIRI) is characterized by its high incidence rate and mortality. miR-199a-3p is thought to be strongly linked with the development of some myocardial diseases, but the influence of miR-199a-3p in MIRI remains unclear. Methods. AC16 cells were used. The concentrations of mammalian target of rapamycin (mTOR), light chain 3 II/light chain 3 I, and Beclin-1 were detected with western blotting and qRT-PCR. The binding site between mTOR and miR-199a-3p was evaluated via luciferase report assay. Cell apoptosis was evaluated through flow cytometry. Results. Knockdown of miR-199a-3p accelerated the myocardial cell injury after L-oxygen treatment. Increased expression of mTOR and suppressed autophagy were observed after knockdown of miR-199a-3p. Knockdown of miR-199a-3p or overexpression of mTOR greatly aggravated cell injury through inhibiting autophagy. Conclusions. This study might be helpful for the therapeutic method of MIRI through by regulating miR-199a-3p/mTOR.
Analysis of Lightweight Polystyrene Foam Concrete Flat Slabs under Fire Condition
Authors: Alzara Majed , Riad Magdy , AbdelMongy Mohamed , Farouk Mohamed A. , Yosri Ahmed M. , Moubarak Ahmed M. , Ehab Ahmed
Published: June 2022

Lightweight reinforced concrete (LWC) is widely used in various reinforced concrete (RC) applications, such as its use in diverse types of reinforced concrete slabs. The aim of this study is to analyze the behavior of reinforced foam concrete slabs (flat slab type) that are exposed to fire conditions under the influence of eccentric loads as well as concentric loads. This analysis has been done using the finite element method by a (ANSYS) software program. The validity of the adopted models was verified through comparison with a previous experimental study. The studied specimens were eleven reinforced concrete flat slabs with a thickness of 150 mm. The lightweight polystyrene foam concrete was used in these specimens with a density of 1820 kg/m3. The results showed that the fire effect lead to a decrease in the maximum carrying load of foam concrete slabs by 25%. Also, by comparing the finite element results with the selected experimental study, the results showed a great agreement with the analytical study used in this research.
HSPA12A Stimulates p38/ERK-AP-1 Signaling to Promote Angiogenesis and Is Required for Functional Recovery Postmyocardial Infarction
Authors: Li Tingting , Wu Jun , Yu Wansu , Mao Qian , Cheng Hao , Zhang Xiaojin , Li Yuehua , Li Chuanfu , Ding Zhengnian , Liu Li
Published: June 2022

Angiogenesis plays a critical role in wound healing postmyocardial infarction (MI). However, there is still a lack of ideal angiogenic therapeutics for rescuing ischemic hearts clinically, suggesting that a more understanding regarding angiogenesis regulation is urgently needed. Heat shock protein A12A (HSPA12A) is an atypical member of the HSP70 family. Here, we demonstrated that HSPA12A was upregulated during endothelial tube formation, a characteristic of in vitro angiogenesis. Intriguingly, overexpression of HSPA12A promoted in vitro angiogenic characteristics including proliferation, migration, and tube formation of endothelial cells. By contrast, deficiency of HSPA12A impaired myocardial angiogenesis and worsened cardiac dysfunction post-MI in mice. The expression of genes related to angiogenesis (VEGF, VEGFR2, and Ang-1) was decreased by HSPA12A deficiency in MI hearts of mice, whereas their expression was increased by HSPA12A overexpression in endothelial cells. HSPA12A overexpression in endothelial cells increased phosphorylation levels and nuclear localization of AP-1, a transcription factor dominating angiogenic gene expression. Also, HSPA12A increased p38 and ERK phosphorylation levels, whereas inhibition of p38 or ERKs diminished the HSPA12A-promoted AP-1 phosphorylation and nuclear localization, as well as VEGF and VEGFR2 expression in endothelial cells. Notably, inhibition of either p38 or ERKs diminished the HSPA12A-promoted in vitro angiogenesis characteristics. The findings identified HSPA12A as a novel angiogenesis activator, and HSPA12A might represent a viable strategy for the management of myocardial healing in patients with ischemic heart diseases.
Comparison of Endoscopic Radiofrequency Ablation and Argon Plasma Coagulation in Patients with Gastric Low-Grade Intraepithelial Neoplasia: A Large-Scale Retrospective Study
Authors: Wang Nanjun , Chai Ningli , Li Longsong , Li Huikai , Zhai Yaqi , Feng Xiuxue , Liu Shengzhen , Zhang Wengang , Linghu Enqiang
Published: June 2022

Background. Gastric low-grade intraepithelial neoplasia (LGIN) is a precancerous lesion of gastric cancer. Endoscopic therapies represented by radiofrequency ablation (RFA) and argon plasma coagulation (APC) have been applied to treat gastric LGIN in recent years. However, no comparative study examining the effectiveness and safety profiles of RFA and APC has been reported. Methods. A single-center, large-scale, retrospective study, including 73 and 50 patients treated with RFA and APC, respectively, was conducted in the First Medical Center of Chinese PLA General Hospital from October 2015 to October 2020, with a two-year follow-up. Effectiveness, complications, operative factors, and other data were assessed. Results. At 2 years of follow-up, cure, relapse, recurrence, and progression rates were 90.4%, 9.6%, 9.6%, and 2.7% in the RFA group, respectively, versus 90%, 10%, 12%, and 4% in the APC group, respectively, with no statistically significant differences between the two groups (all

p
>
0.05

). However, the mean lesion size was significantly larger in the RFA group (2.6 ± 1.0 cm) than in the APC group (1.5 ± 0.6 cm) (

p
<
0.001

); there was also a significant difference in the composition ratio of large lesions between the two groups (

p
<
0.001

). No serious postoperative complications showed in either group, and the abdominal pain was the most common symptom in the short term after surgery. Conclusions. RFA and APC are both safe and effective destructive therapies for gastric LGIN. RFA is more suitable for flat and large lesions, while APC is more suitable for small lesions, especially those with slight local uplift or depression. An intraoperative submucosal injection is expected to be an effective method for relieving postoperative abdominal pain.
Four‐Pyroptosis Gene‐Based Nomogram as a Novel Strategy for Predicting the Effect of Immunotherapy in Hepatocellular Carcinoma
Authors: Li Ning , Ren Shao-hua , Qin Ya-fei , Shao Bo , Qin Hong , Wang Zhaobo , Wang Hong-da , Li Guang-ming , Zhu Yang-lin , Sun Cheng-lu , Zhang Jing-yi , Shi Gang-gang , An Xing-wei , Wang Hao
Published: June 2022

Background. Immunotherapy has been considered as a promising cancer treatment for hepatocellular carcinoma (HCC). However, due to the particular immune environment of the liver, identifying patients who could benefit from immunotherapy is critical in clinical practice. Methods. The pyroptosis gene expression database of 54 candidates from The Cancer Genome Atlas (TCGA) were collected to discover the critical prognostic‐related pyroptosis genes. A novel pyroptosis gene model was established to calculate the risk score. Kaplan–Meier analysis and receiver operating characteristic curve (ROC) were used to verify its predictive ability. The International Cancer Genome Consortium (ICGC) data was collected as external validation data to verify the model’s accuracy. We employed multiple bioinformatics tools and algorithms to evaluate the tumor immune microenvironment (TIME) and the response to immunotherapy. Results. Our study found that most pyroptosis genes were expressed differently in normal and tumor tissues and that their expression was associated with the prognosis. Then, a precise four‐pyroptosis gene model was generated. The one‐year area under the curves (AUCs) among the training, internal, and external validation patients were 0.901, 0.727, and 0.671, respectively. An analysis of survival data revealed that individuals had a worse prognosis than patients with low risk. The analysis of TIME revealed that the low‐risk group had more antitumor cells, fewer immunosuppressive cells, stronger immune function, less immune checkpoint gene expression, and better immunotherapy response than the high‐risk group. Immunophenoscore (IPS) analysis also demonstrated that the low‐risk score was related to superior immune checkpoint inhibitors therapy. Conclusion. A nomogram based on the four‐pyroptosis gene signature was a novel tool to predict the effectiveness of immunotherapy for HCC. Therefore, individualized treatment targeting the pyroptosis genes may influence TIME and play an essential role in improving the prognosis in HCC patients.
Identification of ABCA5 among ATP-Binding Cassette Transporter Family as a New Biomarker for Colorectal Cancer
Authors: Bu Peilong , Xiao Yafei , Hu Shaowen , Jiang Xiaowei , Tan Cong , Qiu Mengyuan , Huang Wanting , Li Mengmeng , Li Quanying , Qin Changjiang
Published: June 2022

Background. The increasing incidence and mortality of colorectal cancer (CRC) urgently requires updated biomarkers. The ABC transporter family is a widespread family of membrane-bound proteins involved in the transportation of substrates associated with ATP hydrolysis, including metabolites, amino acids, peptides and proteins, sterols and lipids, organic and inorganic ions, sugars, metals, and drugs. They play an important role in the maintenance of homeostasis in the body. Purpose. This study aims to search for new markers in the ABC transporter gene family for diagnostic and prognostic purposes through data mining of The Cancer Genome Atlas (TCGA) and GEO (Gene Expression Omnibus) datasets. Methods. A total of 980 samples, including 684 CRC patients and 296 controls from five different datasets, were included for analysis. The construction of the PPI (protein-protein interaction) network and pathway analysis were performed in STRING database and DAVID (database for annotation, visualization, and integrated discovery), respectively. In addition, GSEA (gene set enrichment analysis) and WGCNA (weighted gene co-expression network analysis) were also used for functional analysis. Results. After several rounds of screening and validation, only the ABCB5 gene was retained among the 49 genes. Conclusions. The results demonstrated that ABCA5 expression is reduced in CRC and patients with high ABCA5 expression have better OS, which can provide guidance for better management and treatment of CRC in the future.
The Perspectives of Diabetes Educators and Dietitians on Diet and Lifestyle Management for Gestational Diabetes Mellitus: A Qualitative Study
Authors: Hanks Amber J. , Hume Clare , Lim Siew , Grieger Jessica A.
Published: June 2022

This study explores the knowledge and practice of diabetes educators and dietitians on diet and lifestyle management in women with gestational diabetes mellitus (GDM). Diabetes educators and dietitians were recruited from three maternity hospitals in Adelaide (Australia), through snowball and purposive sampling. Thirteen semistructured interviews were conducted, audio recorded, transcribed verbatim, and analysed for codes and themes. Four themes emerged: guidelines and resources, dietary intervention, management delivery, and communication. Diabetes educators and dietitians demonstrated consistent knowledge of nutritional management for GDM and uniform delivery methods. However, a lack of culturally diverse resources was highlighted, along with a lack of continuity of care across the multidisciplinary team. Barriers towards uptake of dietary intervention were reflected by diabetes educators and dietitians as women showing signs of guilt and stress and disengaging from the service. Further exploration on the knowledge and practice of diabetes educators and dietitians for GDM to best inform implementation strategies for knowledge translation of nutritional management is needed. The indication of language and cultural barriers and resources highlight an ongoing key priority area to support the care of women of ethnic minorities.
Random Matrix Theory-Based ROI Identification for Wireless Networks
Authors: Sui Tengfei , Tao Xiaofeng , Xu Jin
Published: June 2022

The identification of region of interests (ROIs) in wireless networks holds the potential to resolve the challenging problems of resource allocation and network traffic prediction for large scale traffic data generated by mobile applications. The rationale is that ROIs are capable of gathering single regions that share similar network characteristics, which promotes better network traffic prediction performance. Previous studies show that spatiotemporal information in network traffic data, such as user behaviors and network status, is nontrivial to ROI identification. However, the modeling between these clues regarding spatiotemporal information is not yet fully explored. To this end, we propose a random matrix theory-based ROI identification (RRI) approach. By observing the intensification or diminution of network characteristic differences, i.e., divergence, between adjacent single regions, the ROIs can be identified. Firstly, we leverage the spatiotemporal information of area network traffic data with a spike model which can be described as a zero mean random matrix with a deterministic perturbation matrix. Then, we put forward an average divergence capacity model for ROI identification by estimating the divergent degree of adjacent regions. Case studies on three real-world network traffic datasets demonstrate the effectiveness of our proposed RRI method. The ROI identification greatly improves the network traffic prediction performance, yielding a decrease of root mean square error and mean absolute error by

36.87
%

and

52.26
%

, respectively.
Codelivery of Doxycycline and Hydroxychloroquine to Treatment of Brucellosis: An Animal Study
Authors: Hosseini Seyed Mostafa , Farmany Abbas , Alikhani Mohammad Yousef , Taheri Mohammad , Asl Sara Soleimani , Alamian Saeed , Asgari Masoumeh , Arabestani Mohammad Reza
Published: June 2022

Evaluation of various biochemical and immunological parameters in infectious diseases is one of the best indicators for a diagnosis and treatment process. The main goal of this project is to determine the effect of hydroxychloroquine and doxycycline loading into solid‐lipid‐nanoparticles (DOX‐HCQ‐SLN) on the both acute and chronic phases of brucellosis. In addition, evaluate some biochemical factors, trace elements, and inflammatory elements. Blood serum levels of Zn, Fe, Na, and K and hepatic biochemical parameters (AST, ALT, ALP, and TBil) were remarkably different between infected and healthy rats. Vitamin D was decreased, and CRP was increased in chronic and acute brucellosis. Quantitative evaluation of these mentioned parameters can be useful to diagnose brucellosis in advance. Due to the good effect of the synchronized use of hydroxychloroquine and doxycycline in the form of nanoparticles, the manipulation of these nanoparticles can help for better treatment and also reduction in brucellosis reinfection.
Research on the Fusion of Hybrid Fuzzy Clustering Algorithm and Computer Automatic Test Paper Composition Algorithm
Authors: Kan Baopeng
Published: June 2022

In order to improve the effect of intelligent automatic test paper composition, this paper combines the hybrid fuzzy clustering algorithm to study the computer automatic test paper composition algorithm. In this paper, a computer automatic test paper composition system based on hybrid fuzzy clustering algorithm is constructed. Moreover, the hybrid fuzzy clustering method used in this paper is used as the basic algorithm of the system, and the algorithm is improved according to the actual needs of intelligent paper composition. In addition, this paper uses an intelligent algorithm to input the relevant constraint parameters and combines the original parameters to select the most suitable test questions from the database and combine them into test papers. Finally, this paper constructs the system structure based on the requirements of intelligent test paper composition. The experimental research shows that the computer automatic test paper composition system based on the hybrid fuzzy clustering algorithm proposed in this paper has a good test paper composition function, which can effectively promote the progress of the intelligent examination mode in colleges and universities.
Identification of Grammatical Errors of English Language Based on Intelligent Translational Model
Authors: Chen Hongli
Published: June 2022

To address the problem of low kappa, precision and recall values, and high misjudgment rate in traditional methods, this study proposes an English grammatical error identification method based on a machine translation model. For this purpose, a bidirectional long short-term memory (Bi-LSTM) model is established to diagnose English grammatical errors. A machine learning (ML) model, i.e., Naive Bayes is used for the result classification of the English grammatical error diagnosis, and the N-gram model is utilized to effectively point out the location of the error. According to the preprocessing results, a grammatical error generation model is designed, a parallel corpus is built from which a training dataset for the model training is generated, and different types of grammatical errors are also checked. The overall architecture of the machine translation model is given, and the model parameters are trained on a large-scale modification of the wrong learner corpus, which greatly improves the accuracy of grammatical error identification. The experimental outcomes reveal that the model used in this study significantly improves the kappa value, the precision and recall values, and the misjudgment rate remains below 1.0, which clearly demonstrates that the detection effect is superior.
Prospects of Hydrogels in Agriculture for Enhancing Crop and Water Productivity under Water Deficit Condition
Authors: Patra Sanmay Kumar , Poddar Ratneswar , Brestic Marian , Acharjee Pravat Utpal , Bhattacharya Parijat , Sengupta Sudip , Pal Payel , Bam Nyape , Biswas Barun , Barek Viliam , Ondrisik Peter , Skalicky Milan , Hossain Akbar
Published: June 2022

In arid and semiarid regions and under rainfed conditions, water availability is one of the principal ecological constraints that hinder agriculture’s sustainability. The super absorbent polymer (agricultural) is water-absorbing and is cross-linked to absorb aqueous solutions through bonding with water molecules. It is a new approach to water management under water-stressed conditions to conserve soil moisture in the active rooting zone of crops by reducing the evaporation, deep percolation, and runoff losses. Agricultural hydrogels are water retention granules which swell their original size to numerous intervals when they come in contact with water. It can absorb and retain a huge amount of moisture under plentiful rainfall and irrigation events and release it back to the soil for mitigating crop water demand when the rhizosphere zone dries up under drought conditions. It plays multifarious roles in agriculture including soil-water retainer, nutrient and pesticide carriers, seed coating, soil erosion reducer, and food additives. It has the extraordinary ability in improving different physicochemical, hydrophysical, and biological properties of soil, simultaneously decreasing irrigation frequency, enhancing the water and nutrient use efficiencies, and increasing the yield and quality of the field, plantation, ornamental, and vegetable crops. These biodegradable materials are nontoxic to the soil, crop, and environment. Hence, the addition of the hydrogel polymer will be a promising and feasible technological tool for augmenting crop productivity under moisture stressed conditions.
The Analysis of Fractional‐Order Nonlinear Systems of Third Order KdV and Burgers Equations via a Novel Transform
Authors: Alderremy A. A. , Aly Shaban , Fayyaz Rabia , Khan Adnan , Shah Rasool , Wyal Noorolhuda
Published: June 2022

In this article, we solve nonlinear systems of third order KdV Equations and the systems of coupled Burgers equations in one and two dimensions with the help of two different methods. The suggested techniques in addition with Laplace transform and Atangana–Baleanu fractional derivative operator are implemented to solve four systems. The obtained results by implementing the proposed methods are compared with exact solution. The convergence of the method is successfully presented and mathematically proved. The results we get are compared with exact solution through graphs and tables which confirms the effectiveness of the suggested techniques. In addition, the results obtained by employing the proposed approaches at different fractional orders are compared, confirming that as the value goes from fractional order to integer order, the result gets closer to the exact solution. Moreover, suggested techniques are interesting, easy, and highly accurate which confirm that these methods are suitable methods for solving any partial differential equations or systems of partial differential equations as well.
Circulating IL-1β, IL-17, and IP-10 as Potential Predictors of Hepatitis B Virus Infection Prognosis
Authors: Su Zhenzhen , Chen Jie , Zhang Junlong , An Yunfei , Liao Yun , Wu Xiaojuan , Tao Chuanmin , Wang Lanlan , Cai Bei
Published: June 2022

Circulating cytokines and chemokines play critical roles in hepatitis B virus (HBV) infection. Here, we explored the effects of proinflammatory and anti-inflammatory effector molecules on HBV progression, e antigen seroconversion, and liver function. Our results showed that circulating interleukin (IL)-17 may be helpful in HBV spontaneous clearance [odds ratio

OR

=
1.468

,

95
%
confidence
 
interval
 

CI

=
1.080
–
1.995

,

P
=
0.014

] and protective against HBV-related hepatoma development (

OR
=
0.933

,

95
%
CI
=
0.910
–
0.957

,

P
<
0.001

). IL-1β negatively affected HBV clearance (

OR
=
0.052

,

95
%
CI
=
0.005
–
0.534

,

P
=
0.013

). In patients with chronic hepatitis B, interferon-γ-inducible protein-10 (IP-10) levels significantly increased in the group of abnormal liver function (

P
=
0.006

). Furthermore, positive correlations of IP-10 with alanine aminotransferase and aspartate aminotransferase levels were observed (

r

s

=
0.546
 
and
 
0.644

, respectively;

P
<
0.001

). In conclusion, inflammatory cytokines and chemokines may be a “double-edged sword” for HBV clearance and progression. Further exploration of the roles of IL-17, IL-1β, and IP-10 in chronic HBV infection is needed.
High-Speed Penetration Test and Numerical Simulation of Ceramic-Reactive Powder Concrete Composite Target
Authors: Wu Xuezhi , Zou Huihui , Li Gan , Cheng Yihao , Song Chunming
Published: June 2022

To study the protective performance of ceramic materials against the high-speed penetration of projectiles, seven ceramic-reactive powder concrete (C-RPC) composite targets were designed. Using a 100/30 mm two-stage light-gas gun, penetration tests were performed at 1.4–2.0 km/s. The results showed that the penetration depth of the C-RPC target body first increased and then decreased as the target speed increased, and the corresponding reverse penetration speed was between 1743.2 m/s and 1803.9 m/s. LS-DYNA software was used to perform a wide-speed numerical simulation study of a projectile’s high-speed penetration of the composite target, focusing on the analysis of the deformation, mass loss, passivation, and penetration depth of the projectile. Changes in the parameters were compared with the experimental results of a C-RPC penetration test, which together revealed the changes in the damaging effect of the missile’s high-speed penetration of the C-RPC composite target. It provided a damage analysis of the high-speed/super-high-speed penetration of the projectile, which provides a reference for targeted protection research.
Research Progress on the Mechanism of Acupuncture Treatment for Nonalcoholic Fatty Liver Disease
Authors: Li Bai , Fang Li
Published: June 2022

Nonalcoholic fatty liver disease (NAFLD) represents the most common chronic liver disease worldwide, ranging from simple steatosis and nonalcoholic steatohepatitis to fibrosis, cirrhosis, and hepatocellular carcinoma. Acupuncture is a long-established treatment in traditional Chinese medicine. In recent years, increasing evidence has pointed to the effectiveness of acupuncture in the treatment of NAFLD, and a certain degree of progress has been made in the study of related mechanisms. However, previous systematic reviews have not discussed the characteristics and the related mechanisms of acupuncture in the treatment of NAFLD. Therefore, this review synthesizes the progress in research on acupuncture in the context of NAFLD treatment by the inhibition of inflammatory responses, regulation of lipid metabolism disorder, treatment of insulin resistance, antagonization of oxidative stress injury, and interference with endoplasmic reticulum stress. Overall, we sought to highlight the latest research results, potential applications, and ongoing challenges of this therapy.
The Efficacy and Complications of Deep Sedation in Pediatric Dental Patients: A Retrospective Cohort Study
Authors: Razavi Seyed Sajad , Malekianzadeh Bita
Published: June 2022

Background. Dental anxiety in children is a common problem. Currently, many of dental procedures are performed under sedation. Different methods of sedation have been employed for this purpose. Compared to adults, children usually need a deeper sedation level. The aim of this retrospective study is to assess the efficacy and complication of deep sedation in pediatric dental patients. Method. This study was performed on 250 ASA (American Society of Anesthesiologists) I, II children undergoing deep sedation during the dental procedures. After the administration of oral midazolam as premedication, the monitoring process started. The patients that received the sedation dose of propofol and oxygen through nasal cannula during the procedure were carefully monitored for the purpose of evaluating hemodynamic and respiratory complications. The mean procedure and recovery time, postoperative nausea and vomiting (PONV), and success rate were further studied. Result. The average age of the patients was 3.7. 32% of the patients were females, and 68% of them were males. Laryngospasm that occurred in 5 cases was resolved immediately by using positive pressure ventilation. Mild hypoxia was observed in 17 cases which were immediately managed by a bag-valve-mask ventilation. No cases of hemodynamic complications and PONV were reported. The mean length of the procedure was 57 minutes, and the mean length of recovery was 16 minutes. The success rate of this method was estimated to be 99.6%. Conclusion. Deep sedation with propofol is a suitable technique with a high success rate for dental procedures in children. It was also concluded that in pediatric dental procedures, the presence of a skilled anesthetist and the implementation of a close monitoring process are required.
Investigating Polyphenol Nanoformulations for Therapeutic Targets against Diabetes Mellitus
Authors: Islam Fahadul , Khadija Jannatul Fardous , Islam Md. Rezaul , Shohag Sheikh , Mitra Saikat , Alghamdi Saad , Babalghith Ahmad O. , Theyab Abdulrahman , Rahman Mohammad Tauhidur , Akter Aklima , Al Mamun Abdullah , Alhumaydhi Fahad A. , Emran Talha Bin
Published: June 2022

Diabetes mellitus (DM) is a fatal metabolic disorder, and its prevalence has escalated in recent decades to a greater extent. Since the incidence and severity of the disease are constantly increasing, plenty of therapeutic approaches are being considered as a promising solution. Many dietary polyphenols have been reported to be effective against diabetes along with its accompanying vascular consequences by targeting multiple therapeutic targets. Additionally, the biocompatibility of these polyphenols raises questions about their use as pharmacological mediators. Nevertheless, the pharmacokinetic and biopharmaceutical properties of these polyphenols limit their clinical benefit as therapeutics. Pharmaceutical industries have attempted to improve compliance and therapeutic effects. However, nanotechnological approaches to overcome the pharmacokinetic and biopharmaceutical barriers associated with polyphenols as antidiabetic medications have been shown to be effective to improve clinical compliance and efficacy. Therefore, this review highlighted a comprehensive and up-to-date assessment of polyphenol nanoformulations in the treatment of diabetes and vascular consequences.
Application of 5G Combined Wireless Interconnection Technology in the Reform of English Education in Colleges and Universities
Authors: Chen Yuanyuan , Song Xiaoyan
Published: June 2022

Fifth-generation (5G) network is a digital cellular network communication technology that allows for more data traffic and wireless connectivity. The global demand for wireless communication networks is increasing as the number of wireless users grows and new wireless services are presented. Fifth-generation (5G) wireless networks are expected to provide higher data speeds, expanded coverage, improved cost-effectiveness, resource utilization, security, flexibility, and scalability in the future. To attain higher-order teaching abilities, include cutting-edge technology into the curriculum. Teachers should use network resources, notably 5G network communication tools, to reform English teaching since the rapid advancement of network communication technology provides a new viewpoint for English education in colleges and universities. Researchers are concentrating their efforts on maximizing the benefits of the information technology revolution. It has become a hot subject among academics to use it as an opportunity to innovate in English education. As a result, this study proposes a paradigm for revamping English instruction using 5G integrated wireless connectivity technologies. To preprocess the input data, the Butterworth filter and the Gaussian Mixture Model (GMM) are employed. To extract data features, a Gray Level Co-Occurrence Matrix (GLCM) is employed. For classification, the decision tree approach is used. The File Transport Protocol (FTP) is used for data transfer, which may be enhanced with the Revamped Artificial Bee Colony Optimization Algorithm (RABCOA). Using the MATLAB simulation tool, the proposed system is simulated and its performance is assessed. The outcome of the study’s shows that the scholars are usually unsatisfied with old style English classroom education and are more interested in the instructional innovation of 5G integrated wireless networking technologies.
Seasonal Variation of Testosterone Levels in a Large Cohort of Men
Authors: Zornitzki Taiba , Tshori Sagi , Shefer Galit , Mingelgrin Shira , Levy Carmit , Knobler Hilla
Published: June 2022

Context. Various data suggest seasonal variation in testosterone levels. However, previous studies are limited by their size or by variability in baseline characteristics. Objectives. The aim of the study was to evaluate in a large cohort of males with a wide range of age, metabolic status, and coexistent morbidities whether month of blood test performance was associated with total and bioavailable testosterone levels independent of age, body mass index (BMI), existing cardiovascular disease (CVD), and CVD risk factors. Methods. Cross-sectional study includes data from computerized medical records of 27,328 men aged 20–70, treated by the largest healthcare organization in Israel, who had undergone testosterone measurement. In 7,940 subjects with available sex-hormone-binding globulin levels, bioavailable testosterone was calculated. Results. Total and bioavailable testosterone levels gradually decreased with age and BMI (

P
<
0.001

) and were significantly lower in men with diabetes, hypertension, hyperlipidemia, and known CVD, but were higher in current smokers compared with nonsmokers (

P
<
0.001

). Hormone levels were highest in August-October declined after and lowest in March. Overall, both total and bioavailable testosterone levels were significantly lower in March compared to August-October (

P
<
0.001

). In a linear regression analysis, age, BMI, current smoking, and month of testing were independently associated with total (

P
<
0.001

) and bioavailable testosterone levels (

P
=
0.002

), and diabetes was associated with total testosterone (

P
<
0.001

). Conclusion. In a large cohort of men with a wide range of age, BMI, and comorbidities, month of testing was independently associated with total and bioavailable testosterone levels. These data provide strong evidence that seasonal variation has to be considered in clinical practice.
Boosted Sine Cosine Algorithm with Application to Medical Diagnosis
Authors: Ye Xiaojia , Cai Zhennao , Lu Chenglang , Chen Huiling , Pan Zhifang
Published: June 2022

The sine cosine algorithm (SCA) was proposed for solving optimization tasks, of which the way to obtain the optimal solution is mainly through the continuous iteration of the sine and cosine update formulas. However, SCA also faces low population diversity and stagnation of locally optimal solutions. Hence, we try to eliminate these problems by proposing an enhanced version of SCA, named ESCA_PSO. ESCA_PSO is proposed based on hybrid SCA and particle swarm optimization (PSO) by incorporating multiple mutation strategies into the original SCA_PSO. To validate the effect of ESCA_PSO in handling global optimization problems, ESCA_PSO was compared with quality algorithms on various types of benchmark functions. In addition, the proposed ESCA_PSO was employed to tune the best parameters of support vector machines for dealing with medical diagnosis tasks. The results prove the efficiency of the proposed algorithms in solving optimization problems.