bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of the effect of silver nanoparticles alone and their combination with clarithromycin on H. pylori isolates
Authors: Mansouri Fateme , Saffari Mahmood , Moniri Rezvan , Sedaghat Hossein , Moosavi Gholam Abbas , Molaghanbari Mohamadreza , Razavizade Mohsen 
Published: May 2022

Abstract
Helicobacter pylori is a common bacterial pathogen responsible for gastrointestinal diseases worldwide. Clarithromycin has been considered the best tolerable and safe antibiotic in treating H. pylori infection, but increased levels of clarithromycin resistance have reduced the effectiveness of the recommended treatment regimens. So alternative treatment approaches such as nanotechnology have been considered recently. This study aimed to determine the effect of silver nanoparticles (Ag-NP) alone and their combination with clarithromycin on H. pylori isolates. Gastric biopsy specimens were collected from 163 patients with different gastrointestinal signs referred to the endoscopy ward of Beheshti Hospital in Kashan, Iran. H. Pylori strains were isolated from 40 patients out of 163 (24.5%). Minimum inhibitory concentration (MIC) of clarithromycin on H. pylori isolates was determined by the Epsilometer test. The effect of the combination of Ag-NP with clarithromycin on the growth inhibition of clarithromycin-sensitive and resistant H. pylori isolates was determined by the checkerboard titration method. The clarithromycin resistance rate to H. pylori was 42.5%. The MIC of Ag-NP in clarithromycin-sensitive was 31.25-125 µg/ml and resistant H. pylori isolates ranged from 62.5-250 µg/ml. Due to the combination of Ag-NP with clarithromycin, 70.58% of clarithromycin-resistant isolates and 78.26% of clarithromycin-sensitive isolates showed a synergistic effect. A significant difference was observed in comparing the MIC of clarithromycin in combination with Ag-NP and clarithromycin or Ag-NP alone. The MIC clarithromycin was decreased in the presence of Ag-NP against clarithromycin sensitive, and resistant H. Pylori isolates.
The Effect of Service Quality on Customer Satisfaction During Covid-19 Pandamic: Evidence From Hotels in Debre Markos Town
Authors: Birara mulugeta Belayneh , Gebrie Tadesse Asmare , Asresie Gessesse Gizachew 
Published: May 2022

Abstract
The main aim of this study was to identify the effect of service quality dimensions on customer satisfaction during Covid-19: evidence from selected hotels of Debre Markos town. In this study, the customer’s perceptions level of the service quality dimensions and customers’ satisfaction in the selected hotels were determined. To achieve the objectives of this study, the data were collected from 305 sample respondents using self- administered standardized questionnaire from five purposively selected hotels in Debre Markos town. The data was collected using convenience sampling method that was available to the researchers by virtue of its accessibility. In this study, both descriptive and explanatory research design were used. The result of this study indicates that the five service quality dimensions (tangibility, assurance, responsiveness, core hotel benefits and corporate image) have positive and significant relationship with customer satisfaction except empathy and reliability. Based on the findings, the researchers recommended that hotels should hire self-motivated, enthusiastic employees who are capable of handling customers and solve complaints in an effective manner, provide continuous training to the employees on ways of rendering service in hotels, give due attention for their employees by providing the required uniforms, develop their core competencies and prepare service quality standard plans, and full fill covid-19 protocols.
A Binary Biclustering Algorithm based on the Adjacency Difference Matrix for Gene Expression Data Analysis
Authors: Chu HeMing , Kong Xiangzhen , Liu Jinxing , Wang Juan , Zheng Chunhou , Zhang Ke 
Published: May 2022

Abstract
Biclustering algorithms are very effective tools for processing gene expression datasets. Biclustering methods can be divided into two main categories, which are binary biclustering and non-binary biclustering. A binary matrix is usually converted from pre-processed gene expression data, which can effectively reduce the interference from noise and abnormal data, and is then processed using a binary biclustering algorithm. In this paper, we propose a new binary biclustering algorithm to deal with binary matrices, called the Adjacency Difference Matrix Binary Biclustering algorithm (AMBB) to address the drawback that most binary biclustering algorithms could not efficiently handle large gene expression data. AMBB constructs the adjacency matrix based on the adjacency difference values, and the output clusters are submatrices obtained by continuously updating the adjacency matrix that is constructed from the adjacency differences matrix. The adjacency matrix allows for clustering of genes that undergo similar reactions under different conditions into clusters, which is important for subsequent genes analysis. Meanwhile, experiments on synthetic and real datasets visually demonstrate that the AMBB algorithm has high practicability.
Addition P. massoniana fallen wood improved the growth of Plagiomnium acutum in a substrate cultivation
Authors: Shi Bingyang , Wang Xiurong , Yang Shuoyuan , Chen Hongmei , Zhao Yang 
Published: May 2022

Abstract
The main purpose of this study was to evaluate the effects of Pinus massoniana fallen wood as a soilless culture substrate on the growth and physiology of the ornamental bryophyte - Plagiomnium acutum. The results showed that V Ⅲ decomposition grade Pinus massoniana fallen log: V grass charcoal soil =1:1 (SW8) substrate had the highest overall evaluation index, which meant the growth condition of P. acutum in SW8 was the best. The total porosity, water-holding pore space, and water-holding capacity of the mixed substrate containing fallen wood of P.massoniana were significantly higher than those of other cultivated substrates. Pearson's correlation analysis showed that the average cover of the P. acutum was significantly and positively correlated with the substrate's total porosity and water-holding porosity. The average length was significantly and negatively correlated with the total potassium content of the substrate. Chlorophyll content was highly significantly and positively correlated with the water holding capacity and total nitrogen content of the substrate and highly significantly and negatively correlated with the total potassium content of the substrate. The soluble protein content was highly significantly and positively correlated with the total phosphorus content of the substrate. In summary, SW8 treatment could be used as the best substrate for cultivating P. acutum. The addition of P. massoniana fallen wood to the soil substrate increased the total porosity, water-holding pore space, and water-holding capacity of the substrate, which was conducive to the growth of P. acutum and the increase of chlorophyll content.
The mechanism of mitochondrial autophagy regulating CME in epilepsy
Authors: Zhou Xuejiao , Xu Jingqing , Yang Juan , Zhang Haiqing , Wang Jing , Luo Zhong , Tai Zhenzhen , Yu Changyin , Xu Zucai 
Published: May 2022

Abstract
Mitophagy is a process of removing damaged mitochondria, transferring damaged mitochondria to lysosomes for degradation, thereby regulating the quality of mitochondria and maintaining the stability of the intracellular environment. CME(Clathrin-mediated-endocytosis)plays an important role in the endocytosis and recovery of vesicles. It is also the main way for large parts of substances to enter cells, and it is widely involved in the signal transduction of various physiological activities of cells. Therefore, this study used pentylenetetrazol to ignite the abnormal mitochondrial autophagy in the chronic epilepsy model and the epilepsy model without magnesium-induced neurons. Subsequently, the autophagy inhibitor 3-MA was used to further observe that the inhibition of autophagy caused a decrease in the fluorescence uptake of Tf-A488 in the primary cultured neurons and the hippocampus of experimental mice, and the inhibition of mitochondrial autophagy could inhibit the function of CME. Finally, through PTZ epilepsy model and kainic acid model, we observed the effect of 3-MA on epilepsy behavior and its in-body field potential, and finally clarify the possible mechanism of mitochondrial autophagy regulating CME and participating in epilepsy.
Therapeutic Material Basis and underling mechanisms of ShaoYao Decoction-exerted alleviation effects of colitis based on GPX4-regulated ferroptosis in epithelial cells
Authors: Li Juan , Tian Xiangge , Liu Jinming , Mo Yuying , Guo Xiaoyi , Qiu Yang , Liu Yuejian , Ma Xiaochi , Wang Yan , Xiong Yongjian 
Published: May 2022

Abstract
Background
Shaoyao Decoction (SYD) is a canonical herbal medicine prescription formulated by Liu Wan-Su in AD 1186. SYD has been widely used to treat inflammatory bowel disease by clearing heat and damp, removing stasis toxin in the intestine; however, the precise mechanisms and therapeutic material basis remain largely unclear. In the present study, we measured the effects of SYD on colitis symptom, epithelial barrier function, epithelial ferroptosis, colonic protein and mRNA expression of glutathione peroxidase 4 (GPX4) in colitis model, and determined whether SYD restored barrier loss in colitis by modulation of GPX4-regulated ferroptosis pathway.
Methods
Colitis was established by infusion with 1 mL 2,4,6-trinitrobenzene sulfonic acid (TNBS) dissolved in ethanol (40% v/v) in rats at a 125 mg/kg dose. Ferroptosis in epithelial cells was determined by flow cytometer. GPX4 promoter-firefly luciferase fusion construct was transfected to Caco-2 cell to determine GPX4 transcription. MS analysis was used to identified ingredients in SYD.
Results
Different doses of SYD significantly alleviated colitis, decreased ferroptosis in epithelial cells, knockout of GPX4 significantly reversed SYD-induced alleviation effects on colitis, restoration of epithelial barrier function, and epithelial ferroptosis. Wogonoside, wogonin, palmatine, paeoniflorin and liquiritin were identified as active ingredients of SYD-exerted alleviation effects of colitis based on GPX4 agonistic transcription.
Conclusion
SYD alleviated chemically induced colitis by activation of GPX4, inhibition of ferroptosis in epithelial cells and further restoration of barrier function. Wogonoside, wogonin, palmatine, paeoniflorin and liquiritin were identified as the key therapeutic material basis of SYD-exerted anti-colitis effects. The findings provide a scientific basis for the therapeutic effect of SYD on colitis.
Impacts of the COVID-19 pandemic on the incubated creative and entrepreneurial projects in Jordan
Authors: Ayasrah Samer , Obeidat Mutawakil , Alnasraween Mo'en salman , Katatbeh Qutaibeh 
Published: May 2022

Abstract
This study aimed to disclose the effects of the COVID-19 pandemic on the incubated creative and entrepreneurial projects. The study sample consisted of 61 creative entrepreneurs enrolled in business incubators and centers. Results revealed that the impact of COVID-19 on the incubated creative and entrepreneurship projects was high. In the factor analysis, three factors were extracted that explained the impacts of the COVID-19 on the incubated entrepreneurial projects: "Pandemic impact factor", "Incubator readiness factor", and "Entrepreneur readiness factor". Moreover, the results of the study indicated that the most severe impacts of the pandemic were in the period 17 March 2020 to 17-9-2020.
Well-posedness of a initial-boundary value problem of a system coupled by KdV equations
Authors: Lu Haiyan , Zhao Xiangqing 
Published: May 2022

Abstract
See Manuscript PDF file for complete AbstractIn this paper, we concern the initial-boundary value problem of a system coupled by KdV equations, posed on the half line: u_t+u_xx+6 uu_x = 2 vvx， x > 0，t > 0， v_t + v_xxx + 3uv_x = 0， x > 0，t > 0， u(x，0) = u_0(x)，v(x，0) = v_0(x)， x > 0， u(0，t) = f (t)，v(0，t) = g(t)， t > 0. Then we prove the well-posedness in the low regularity via using an analyticfamily of boundary forcing operators.Mathematics Subject Classification: 35E15, 35Q53.
Food Advertisement Influences Food Decision Making and not Nutritional Status: A Study among Students of the University for Development Studies, Tamale Campus
Authors: Kalog Gabriel Libienuo Sowley , Kasim Faiza , Anyebuno Bernice , Tei Sandra N. , Kubuga Clement Kubreziga , Mogre Victor , Aryee Paul Armah 
Published: May 2022

Abstract
Background
Consumers are exposed to wide range of advertisement through different channels daily, which turns to have an influence on their food decision making.
Methods
This cross-sectional study was conducted to find out the influence of different forms of food advertisements on students’ food choices and nutritional status. A self-reported semi-structured questionnaire was used to elicit responses from 367 students. Body Mass index (BMI) was derived from weight and height measured according to standard procedures. Data was analysed and presented as frequencies and percentages. Chi-square was used to determine association between categorical variables (socio-demographic characteristics, food choices and nutritional status).
Results
The students reported use of internet (58.9%) as the main source of food advertisement on campus, followed by television (21.0%). A large number of students (74.9%) were affirmative about food advertisements influencing their food decision making. Those with poor nutritional status (underweight, overweight and obese) were more likely to patronize sugar sweetened beverages (10.1%) as compared to fruits and vegetables (1.4%). There was statistical significance (p = 0.003) for type of food patronized due to advertisement and the source of advertisement. However, there was no statistical significance (p = 0.832) for type of food patronized due to advertisement and BMI of students.
Conclusion
Owing to the increased patronage of internet and television as channels of food advertisements by students, policy makers should prioritize the designing and implementation of intervention programmes through these channels that would influence healthy food decision making and promote consumption of nutrient rich foods. As this population has high self-reported advertisements’ influence on food choices, it is vital to investigate further the influence of contextual cues such as environment and advertisement on their eating habits and dietary patterns.
Identification of a Novel Prognostic Model for Patients with Head and Neck Squamous Cell Carcinoma Based on Autophagy-related Genes
Authors: Zhang Xuefeng , Yang Wanchun 
Published: May 2022

Abstract
Background. Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancers in the world. Experimental evidence indicates that autophagy-related genes (ARGs) are associated with the initiation and progression of HNSCC. However, it's not well defined whether ARGs have the predictive ability of prognostic significance in patients with HNSCC. In this study, we aimed to identify critical ARGs associated with the prognosis of HNSCC, and establish a prognostic signature for the risk assessment. Methods. Differential expression and functional enrichment analysis were conducted to analyze the datasets from The Cancer Genome Atlas (TCGA) and the Human Autophagy Database (HADb) with R software. The prognosis-related ARGs were screened by univariate Cox regression and LASSO regression analysis. The multivariate Cox regression analysis were applied to identify the prognosis-related ARGs signature of HNSCC. Results. We established the prognostic signatures based on 9 ARGs by multivariate Cox regression analysis for the overall survival (OS) analysis. The following risk scoring was based on this 9-gene prognostic signature. Kaplan-Meier curves showed that high-risk score group had worse survival than low-risk score group. ROC curves revealed that the risk signature was a predictive indicator in the outcomes of patients with HNSCC. Moreover, nomogram in the prognosis of HNSCC patients confirmed the findings that the predicted probabilities and OS rates at 1-, 3- and 5- years were relatively consistent. Conclusion. In this study, we identified a novel ARG-based prediction signature, which could predict the prognosis of patients with HNSCC.
Human umbilical cord mesenchymal stem cell-derived exosomes alleviate neuronal damage in a rat model of Parkinson's disease by inhibiting microglia-mediated pyroptosis
Authors: Zhang Zhong-Xia , Zhao Wei , Gu Ping , Zhou Yong-Jie , Wu Ruo-Yu , Zhou Lu-Yang , Cui Qing-Zhuo , Chen Hong-Xu , Zhang Lin-Qi , Zhang Ke , Xu Hong-Jun , Chai Xi-Qing , An Sheng-Jun , Sun Shao-Kang 
Published: May 2022

Abstract
Parkinson's disease (PD) is a neurodegenerative disease characterized by dyskinesia and related to microglia-mediated pyroptosis. Stem cell-derived exosomes have small size, low immunogenicity, and the ability of transferring the effective substances of stem cells freely. In this study, exosomes were isolated from human umbilical cord mesenchymal stem cells (hucMSCs) and injected into PD rats induced by 6-hydroxydopamine (6-OHDA). We found that the exosomes were absorbed by dopaminergic neurons and microglia in the affected side and exosome treatment inhibited microglia activation and prevented nigral-striatal dopamine neuron damage. Furthermore, pretreatment cultured BV2 cells with exosomes inhibited TLR4/NF-κB/NLRP3 inflammasome induced by LPS/ATP. Therefore, exosomes inhibited pyroptosis and reduced the secretion of supernatant IL-1β and IL-18, improved the survival rate of SH-SY5Y. In addition, the potential targets of hucMSCs- exosomes treatment of PD was further identified by miRNA high throughput sequencing and protein spectrum sequencing.
Comparative Study of errors determination of Machine Tools
Authors: Elmelegy Ahmed , Zahwi Sarwat 
Published: May 2022

Abstract
The increasing of product market demands leads to contionous improvement of computerized numerical control (CNC) machine tools. This improvement requires real understanding of machines productivity, accuracy and operating parameters i.e. speed, flexibility and machine errors. The accuracy of machine tools can be increased by innovative designs, control, operating softwares and determination of machine errors. Such machine errors can be accurately identified through measurements. Machine tools include production and manufacturing machines i.e. turning, lathe, drilling and milling machines whatever computerized numerical control type or manuall type. Such machine types have different errors sources i.e. angular errors, horizontal and vertical straightness errors, paralleism errors and squarness errors are clear examples of these sources. In this paper, a comparative study for the determination of Machine Tools errors is investigated. Two main instruments of laser interferometer system and autocollimator system are used. The geometric errors are identified, measured and analyzed.
Atomic-resolution scanning transmission electron microscope imaging and electron beam-induced current measurements in GaAs Nanowire p-i-n Diodes
Authors: Oviedo Juan Pablo , Barrigon Enrique , Sellers Ryan , Borgström Magnus T. , Klie Robert F. 
Published: May 2022

Abstract
Measuring the current induced by the electron beam in an electron microscope is an approach that is used to map the generation and collection of charge carriers in the presence of an internal electric field in semiconductor devices. Here, we demonstrate that EBIC measurements can be conducted simultaneously with atomic-resolution high-angle annular dark field imaging in an aberration-corrected scanning transmission electron microscopy using a GaAs p-i-n nanowire diode. We explore the effects of the significantly smaller profile of the 200 kV electron probe within the sample compared to the SEM configuration. We further demonstrate that the effects of electron beam induced point defects and surface passivation layers can be directly determined using the STEM-EBIC approach.
An exploratory study on the detection rate of circulating tumor cells and the prediction of efficacy of neoadjuvant therapyand prognosis in patients with HER-2-positive early breast cancer
Authors: Zhou Jinmei , Wu Jiangling , Hao Xiaopeng , Li Ping , Zhang Huiqiang , Wu Xuexue , Chen Jiaxin , Liu Jiawei , Xiao Jinyi , Zhang Shaohua , Jiang Zefei , Yang Yanlian , Hu Zhiyuan , Wang Tao 
Published: May 2022

Abstract
Background: Neoadjuvant therapy is a standard treatment for patients with large, nonmetastatic breast cancer and may allow breast-conserving surgery after tumor downsizing while decreasing the risk of subsequent relapse. Dynamic changes of circulation tumor cells (CTCs) have a role in predicting treatment efficacy of breast cancer. However, the relationship between CTC enumeration before neoadjuvant therapy and pathologic complete response rate is still uncertain.Methods: The study was exploratory. A total of 50 breast cancer patients were enrolled in a phase II clinical study of neoadjuvant therapy for HER-2-positive early breast cancer. They were enrolled for blood draws before and after neoadjuvant therapy. We used two methods (CellSearch and Tumor-Fisher) to detect tumor cells in bloodstream. We compared the sensitivity of the two CTC detection systems and investigated the correlation of the enumeration on baseline CTCs with the diagnosis, the prognosis, and the efficacy of the neoadjuvant therapy of the patients with HER-2-positive early breast cancer. We also explored the dynamic change of CTCs after the neoadjuvant therapy in enrolled patients. Results: The sensitivity of CTCs detection by the Tumor-Fisher (27/50) method was significantly higher than that of the CellSearch system (15/50, p=0.008). The CTC levels detected by the two detection systems were not significantly correlated with lymph node status, clinical stage, ki-67 level and hormone receptor status. Patients with ≥1 CTC before neoadjuvant therapy measured by the Tumor-Fisher system had a significant high pCR rate (74.1% vs. 39.1%, p = 0.013); However, CTC levels detected by the CellSearch system did not show a predictive value for pCR (73.3% vs. 51.4%, P = 0.15). Patients with a decrease in CTCs enumeration after neoadjuvant therapy were more likely to achieve pCR than those with no change or increase in CTCs enumeration (87.5% vs 50.0%, P = 0.015) by the Tumor-Fisher method, whereas no predictive effect on pCR by CellSearch system. Unfortunately, there was no predictive value of CTC enumeration for EFS before and after neoadjuvant therapy by two methods. Conclusions: Our study demonstrates that the new CTC detection method Tumor-Fisher system has a higher CTC detection rate in early breast cancer than the CellSearch system, and shows the opportunity of CTC enumeration as a novel assistant biomarker to predict the response of neoadjuvant therapy in patients with HER-2-positive early breast cancer.