bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modeling Studies of Cervical Thoracic Sympathetic Nerve Magnetic Stimulation
Authors: Wang Jiawen , Sun Xiao , Xing Haoyang , Kong Qingquan 
Published: October 2022

Abstract
Background
Electromagnetic fields have been administered, with mixed success, in order to treat a variety of ailments. During the update of magnetic stimulation technology, modelling studies play an important role. To numerically investigate the possibility of cervical thoracic sympathetic nerve magnetic stimulation with current commercial figure-eight coil commonly used in the implementation of Transcranial magnetic stimulation, and improve coil design specially for cervical thoracic sympathetic nerve magnetic stimulation, we conducted this modelling study.
Results
We simulated the induced currents and induced electric fields at the cervicothoracic sympathetic and spinal nerves under different simulation study settings; compared and displayed the induced electric field distribution and induced currents at the level of the cervicothoracic sympathetic ganglia (stellate ganglia) At the same time, we recorded the specific values of the maximum induced current density of the cervical and thoracic sympathetic nerves and spinal nerves and compared them.
Conclusions
For current commercial figure-eight coils, in order to obtain the best magnetic stimulation results, we should place the figure-eight coils 19 mm away from the midline of the front of the human neck and rotate the coil to a certain angle to fit the human neck as closely as possible. And properly enlarging the size of the traditional figure-eight coil can obtain a stronger stimulation effect on cervical thoracic sympathetic nerve. However, the anatomical depth of the cervical thoracic sympathetic nerve is relatively deep while the induced electric field generated by the current commercial figure-eight coil decays rapidly with the stimulation depth, stimulation effect of figure-eight coil is not good enough. Although the traditional double-cone coil can theoretically achieve a deeper stimulation depth, the good fit of the double-cone coil to the neck becomes another practical problem to be solved. Our results provide guidance for further clinical volunteer trials and the development of cervical magnetic stimulation devices. We believe that this conclusion may become a weather vane for the study of cervical thoracic sympathetic nerve.
Effect of Hop (Humulus lupulus L.) on postmenopausal sexual dysfunction: A randomized clinical trial
Authors: Vahedpoorfard Zahra , Ferdosi Samira , Rahimi Habibollah , Motedayyen Hossein 
Published: October 2022

Abstract
Objective: Female sexual dysfunction is a common distressing problem among women which may result from reducing circulating endogenous estrogen. Humulus lupulus L (Hop) has antioxidant, anti-inflammatory, anticancer, and estrogenic properties. Therefore, this study aimed to assess the efficacy of Hop on postmenopausal sexual dysfunction.
Methods: Study populations consisted of 63 postmenopausal women who were randomly categorized into two groups. In the Hop group (N=33), women received the Vaginal gel containing Hop extract every day for seven days and then continued for two months, twice weekly. In the Estradiol group (N=30), women were treated with vaginal estradiol (0.625 mg) over two 28-day cycles (21 days of therapy and seven days rest). The sexual function was evaluated using the Female Sexual Function Index (FSFI) questionnaire before and after the intervention.
Results: No statistically significant differences in FSFI scores (sexual desire, sexual arousal, vaginal lubrication, satisfaction, orgasm, sexual pain, and total FSFI) (P>0.05) were noticed after treatment between Hop and estradiol groups.
Conclusion: Vaginal Hop was as effective as estradiol in improving the sexual dysfunction among postmenopausal women with no adverse events.
Anthelmintic and hepatoprotective activities of the biocompatible Zinc Oxide Nanoparticles against Parascaris equorum infection in rats
Authors: Ali Sara Bayoumi , Mohamed Ayman Saber , Fahmy Sohair R , El–Garhy Manal , Mousa Mohamed R , Abdel-Ghaffar Fathy 
Published: October 2022

Abstract
Background: Nanoparticles have many properties, depending on their size, shape, and morphology, allowing them to interact with microorganisms, plants, and animals. Objectives: Investigatation of the therapeutic effects biocompatible zinc oxide nanoparticles (ZnO NPs) on P. equorum infection in rats.
Methods: Thirty-six rats were divided into two divisions are: the first division is noninfected groups were allocated into three groups. Group 1: Control, Group 2: ZnO NPs (30mg/kg) and group 3: ZnO NPs (60mg/kg). The second division is infected groups were allocated into three groups. Group 1: vehicle, group 2: ZnO NPs (30mg/kg) and group 3: ZnO NPs (60mg/kg).
Findings: Biocompatible ZnO NPs caused a significant decrease in liver functions, LDL, cholesterol, triglycerides, MDA and NO. While it caused a significant increase in HB, HDL, BCHE, GSH, CAT, and GST in infected treated rats. The histological inflammation and fibroplasia scores showed a significant enhancement during the treatment with ZnO NPs (30, 60mg/kg) compared to the infected untreated animals that scored the highest pathological destruction score. Immunohistochemical markers of NF-κB showed a significant decrease during the treatment with ZnO NPs (30, 60mg/kg) compared to the infected untreated animals.
Main conclusions: Biocompatible Zinc Oxide Nanoparticle is a promising treatment modality against parasitic infection through its powerful anthelmintic, antioxidant, healing promotion, and anti-inflammation effects.
Comparative transcriptome analysis reveals distinct gene expression profiles in Fusarium graminearum challenged with carbendazim and phenamacril
Authors: Guo Xuhao , Jiang Jia , Qian Le , Xu Jianqiang , Che Zhiping , Liu Shengming 
Published: October 2022

Abstract
Background: Fusarium graminearum, which causes Fusarium head blight (FHB) on cereal crops worldwide, is an economically important phytopathogenic fungus. Chemical control is the dominant method to manage FHB.
Results: In this study, the sensitivity of F. graminearum against carbendazim and phenamacril of two commonly-used fungicides with different mode of action weredetermined. A total of 5086 and 2559 differentially expressed genes (DEGs) were identified in F. graminearum with carbendazim and phenamacril treatment, respectively, by RNA-seq. Gene Ontology (GO) enrichment analysis showed proteasome complex, transporter activity, and transmembrane transporter activity were most enriched with carbendazim treatment, whereas ion binding, ribonucleotide binding and carbohydrate derivative binding were most enriched with phenamacril treatment. The pathway enrichment analysis demonstrated proteasome, ribosome biogenesis in eukaryotes and pentose phosphate pathway were associated with carbendazim response while nitrogen metabolism, glutathione metabolism and citrate cycle (TCA cycle) were associated with phenamacril response. Furthermore, protein-protein interaction (PPI) network analysis was performed to elucidate protein and metabolic networks in F. graminearum response of fungicide. In addition, the results show that those genes associated with ATP-binding cassette transporters, heat shock proteins and stress response were changed expression and genes regulating trichothecenes biosynthesis were altered with two fungicide treatment.
Conclusions: Taken together, those results promoted to unravel the action mechanism of carbendazim and phenamacril on F. graminearum and provide valuable resources for searching novel antifungal in the future to improve strategies managing FHB.
Long-term Continuous-cropping System Altered the Microbial Communities and Nutrient Cycles in Karst Agroecosystems
Authors: Ding Mengjiao , Shang Nianjie , He Yi , Hu Binbin , Cai Heqing , Dai Bin , Fan Long , Bin Jun , Huang Ying 
Published: October 2022

Abstract
Purpose Understanding the response of microbial communities and their potential functions is essential for the long-term continuous-cropping karst agroecosystems. However, there are few studies on the interaction between soil physicochemical factors and microbial community dynamics in karst agroecosystems under long-term continuous-cropping conditions.
Methods We investigated the physicochemical properties, metabolites, and microbial diversity of rhizosphere soils in which tobacco was cropped continuously for 0, 5, and 20 years.
Results Compared with CK, the bacterial diversity significantly increased and then decreased with the duration of continuous cropping. In addition, the fungal diversity increased significantly, indicating that the change in fungi may shift the nutrient cycles of continuous-cropping karst agroecosystems. Soil pH and the contents of available phosphorus (AP) and alkali-hydrolyzable nitrogen (AN) were the key environmental factors leading to changes in the structures and functions of microbial communities in continuous-cropping soil. The metabolites released by tobacco, such as palmitic acid, 3-hydroxypropionic acid, stearic acid, and hippuric acid, reduced soil pH.
Conclusion Continuous cropping system altered the ecological balance of the soil microbial communities.
A Comparative Study of the Effects of Cordia africana, Ficus sur and Manihot esculenta on Soil Chemical Properties in an Agroforestry System
Authors: Gota Hizkel Gotoro , Madalcho Aklilu Bajigo , Kerse Belete Limani , Szwagrzyk Jerzy , Solomon Tamirat 
Published: October 2022

Abstract

in Krakow, Poland The incorporation of woody components ensures the sustainability of land productivity through complementary resource acquisition and nutrient cycling. Hover, the integrated species, however, play a major role in determining the environmental impact of agroforestry practices. In order to compare the effects of woody plants on various soil chemical properties, three agroforestry species: Cordia africana, Ficus sur, and Manihot esculenta were selected from three different elevation ranges; and the soil samples were collected from the canopy zone and outside the tree canopy influence. As a result, all of the agroforestry species in the current study have demonstrated a significantly favorable impact on the soil chemical properties inside the canopy. Focusing solely on the effects of individual species on the soil, Cordia Africana and Ficus sur did not significantly differ in the bulk of the measured soil chemical property measures. Manihot esculenata, on the other hand, had much lower impact in comparison to the first two, showing that it is the least important species for enhancing soil quality. The influence of agroforestry species on soil chemical properties is similar across all elevation ranges for the majority of the parameters, indicating that the impact of agroforestry species on soil property is stronger than the impact of elevation. Therefore, in an agroforestry system, woody plants, Cordia Africana and Ficus sur perform a significantly larger role of improving the soil than the tuber crop Manihot esculenata, which in turn has a strong negative impact on the soil's available potassium and cation exchange capacity.
Development and evaluation of Clinical Decision Support System (CDSS) for the diagnosis of irritable bowel syndrome (IBS)
Authors: Kordi Marzieh , Dehghan Mohammad Jafar , Shayesteh Ali Akbar , Azizi Amirabbas 
Published: October 2022

Abstract
Introduction

IBS manifestations are similar to heartburn, making diagnosis difficult for physicians. To diagnose this illness, doctors now rely on their experiences and therapeutic guidelines. Misdiagnosis, added costs, and extended treatment times are possible outcomes of this method. Researchers believe CDSS can help clinicians solve problems when used to make decisions. The CDSS is used in this current study to diagnose IBS.

Methods

The fuzzy-logic algorithm was optimized in this applicable modeling research using particle swarm optimization (PSO). Input data, an inference engine, and output data comprised this fuzzy-logic model-based system. Classification algorithms and the PSO method were used to select the input variables. PSO and "If-then" rules were used in the inference engine to extract data from the dataset. Patients experiencing IBS and normal people make up the output. The accuracy, sensitivity, precision, specificity, confusion Matrix, kappa test, and F-measure values of this model were used to assess its performance.

Results

The recommended model had a mean score of 96.5% accuracy, 100% sensitivity, 95.2% precision, and 89.4% specificity.

Conclusion

The optimized model was found that effectively diagnosed IBS cases. To improve the accuracy of this disease's diagnosis, healthcare organizations can implement the aforementioned model into their strategic scheduling at a reasonable expense.
Functionalized DNA tetrahedron for concomitant delivery of doxorubicin and paclitaxel
Authors: Eymael Denise , Carneiro Karina , Magalhaes Marco 
Published: October 2022

Abstract
Breast cancer is a complex disease and the most common cancer among women. Chemotherapy is commonly used in patients with late-stage breast cancer, which can lead to significant adverse effects. The development of new drug delivery systems is fundamental to improving survival and decreasing morbidity for these patients. Previous studies have shown promising results using DNA nanostructures for doxorubicin (DOX) delivery into drug-resistant breast cancer cells. Here, we successfully modify a DNA tetrahedron (TDN) to include alkyl chains attached to the core of the nanostructure for encapsulation of the hydrophobic drug paclitaxel (PTX). The functionalized TDN (fTDN) simultaneously delivered PTX and DOX into MCF7 cells, leading to improved cell death compared to freely diluted drugs. Our fTDN is a stable and effective delivery system that allows dual drug delivery and shows encouraging results for improving breast cancer chemotherapy.
Bioinformatics analysis of genes related to ferroptosis in hepatic ischemia-reperfusion injury
Authors: Sun Shuo , Xue Jianming , Guo Yunfei , Li Jianling 
Published: October 2022

Abstract
Background
Primary liver cancer is the sixth most commonly diagnosed cancer and the third leading cause of cancer death worldwide in 2020. Liver resection or liver transplantation are the two most prominent modalities for the treatment of primary liver cancer, and both inevitably result in HIRI, causing serious complications for patients. Ferroptosis, a newly discovered mode of cell death, is closely related to HIRI. We further investigated the relationship between the two by means of bioinformatics analysis.
Methods
The GEO database dataset GSE112713 and FerrDB database data were selected for analysis using bioinformatic analysis methods (differential analysis, FRGs identification, GO analysis, KEGG analysis, PPI network construction and analysis, Hub gene screening with GO analysis and KEGG analysis, inter-gene interaction prediction, drug-gene interaction prediction, miRNA prediction).
Results
Volcano, Venn, bar chart, bubble chart, PPI network, and Cytoscape network plots were plotted.
Conclusion
There is a close relationship between HIRI and ferroptosis, and inhibition of ferroptosis could be a new approach to mitigate HIRI treatment.
Bio Inspired Approach for Customer Churn Prediction
Authors: Ramesh Chinnaraj 
Published: October 2022

Abstract

Customers are the bottom for any commercial enterprise fulfillment and this is why corporations come to be privy to the importance of obtaining pride of clients. Customer churn exercise is important in aggressive and swiftly growing in telecom sector. Due to superior services, competitive pricing, or other benefits offered by competitor companies to clients who sign up, customers move from one telecom service provider to another. The prediction of customer churn has evolved into an essential component of planning processes and strategic decision making in the telecom sector due to the higher costs associated with gaining new consumers. The prime goal line of the introduced study is to scrutinize exactly how a massive bio-inspired data platform might be used to expect customer’s wear and tear in the application of telecom industry. The probabilities of customers leaving a business have been estimated using Mimosa Pudica optimization (MPO) of two upmost classifying approaches. Big data combined with logistic regression and machine learning is also used in this study for comparisons. Feature selection, reduction and clustering are also performed with the help of MPO to forecast customer revenue in the telecom industry, in order to calculate the probability of churn as a function of a collection of factors or client characteristics. In a similar way, MPO is then used to optimize the two customer's churn classifiers on how close their product in every class. This study predicts and analyses churn using data from two different websites. As a result of these judgments, expectations of consumer churn can efficiently provide an accuracy rate of the best classifier as 0.95 percent and an AUC, area under curve of about 0.96 percent.
The hot-e lasers based on effectively electron transfer enhanced by electric polarization in perovskite and metal
Authors: Pan Yong , Cao Jianguo , Zhang Yan , Zhao Yuxin , Gao Dangli 
Published: October 2022

Abstract
The hot electron transfer resulting fluorescence enhancement has the significant meaningful for theory and experiment of photoelectric devices studying. However, the laser emission based on hot electron transfer directly is difficult to realize because of the low transfer efficiency. To achieve laser with new generation mechanism base on hot-electron transfer, the optical + electrical excitation simultaneously are proposed for improving the efficiency of hot electron transfer. The lasing behavior at 532 nm are realized with a threshold of 5 kw cm− 2&1 µA, which can be considered as the hot e transfer lasing. For details, number of hot electrons transfer process were described via transient absorption spectrum according to the improved ground state bleaching and excited state absorption signal in device ON. Through comparing to optical pump only, the quantum efficiencies of hot electron generation (HEG) and hot electron transfer (HET) were increased by this method about 31% and 31% (about 2.2 and 3.5 times), respectively. Efficient hot electron transferring from the charge regulation of metals by adding an electric field was confirmed. Most importantly, a triple gain mode coupling device including local surface plasmon, hot-e transfer and whispering gallery mode was presented in experiment and simulation. This study can provide theoretical and experimental reference for the research of hot electron lasers and device.
Screening biomarkers of oral leukoplakia canceration based on GEO database and in vitro experiments
Authors: Li Fengji , Qiu Lin , Gao Qian , Liu Han 
Published: October 2022

Abstract
Background: Oral leukoplakia (OLK) is the most common precancerous lesion in the oral cavity. This study aimed to screen the key genes of OLK canceration using the Gene Expression Omnibus (GEO) database.
Methods: GSE52088 dataset was downloaded from GEO database to screen differentially expressed genes (DEGs) in precancerous cells and head and neck squamous cell carcinoma (HNSCC) cell samples. The Comparative Toxicogenomics Database (CTD) was employed to screen OLK canceration related genes, which were subsequently conducted with a series of bioinformatic analyses. The GSE26549 dataset was then used as an external validation and the immune cell infiltration was assessed by ssGSEA. Finally, real-time PCR was exploited to verify the database results.
Results: 439 DEGs were selected from GSE52088 data set (| log2 (Fold change) | > 2.0 and P < 0.001). On this basis, 12 DEGs were selected by CTD database, among them, LAPTM4B, NR3C1 and COX6A1 are finally chosen as three key genes of OLK canceration through external validation by GSE26549. Receiver operating characteristic curve (ROC) analysis showed that the model constructed based on LAPTM4B, NR3C1 and COX6A1 had high accuracy in diagnosing OLK canceration. The area under the curve (AUC) value was 0.753. Moreover, three potential key genes had certain correlation with immune cell infiltration. In addition, real-time PCR results were consistent with the results of three potential key genes in the dataset.
Conclusions: In this study, three key genes (LAPTM4B, NR3C1 and COX6A1) were screened as potential biomarkers for the diagnosis and treatment of OLK canceration, laying a foundation for clinical research on OLK canceration.
microRNA profiling of Iraqi patients with gastric cancer
Authors: Hasan Mohanad , Safaralizadeh Reza , Khalaj-Kondori Mohammad 
Published: October 2022

Abstract
Background: Gastric cancer has the fifth place commonly identified malignancy and third principal cause of cancer-related fatalities globally, with over 1 million cases globally. Since each miRNAs regulates multiple target mRNAs that participate in a variety of biological processes, including signal transduction, cell differentiation, apoptosis, and proliferation, totaling 30% of protein-coding genes. Thus, deregulation of miRNAs has a role in a variety of clinical diseases, including GC and characterize a developing field of cancer research. The goal of this study was to investigate the signature of miRNA profile in Iraqi patients with gastric cancer.
Methods: One-hundred tissue specimens include 50 cancerous tissues and 50 normal tissues from 50 patients were collected for miRNA profiling by microarray assay.
Results Our results exhibited that 37 miRNAs were up-regulated in patients with gastric cancer (P <0.05), and 40 miRNAs were down-regulated in patients with gastric cancer (P <0.05). Then, 3 highly overexpressed miRNAs (miR-221-3p, miR-106a-5 and miR-21-5p) were chosen for further validated by Real-Time polymerase chain reaction. In the validation set, the level of (miR-106a-5, miR-21-5p and miR-221-3p) were tested by qRT-PCR have significant up-regulation in GC related to normal tissues (P <0.05).
Conclusions: According to our present findings, the 3 miRNAs (miR-106a-5, miR-21-5p and miR-221-3p) strongly suggested involvement in gastric carcinogenesis, hence highlighting its serving as promising prognostic, diagnostic biomarkers or therapeutic targets for gastric cancer patients.
Novel sustainable Cellulose Acetate based biosensor for Glucose Detection
Authors: El-Sayed E. M. , Elkady M. F. , Hassan H. Shokry , Samy Mahmoud 
Published: October 2022

Abstract
In this study, green ZnO/polypyrrole (ppy)/cellulose acetate (CA) film was prepared via solvent casting. This film was used as supporting material for glucose oxidase (GOX) to sensitize a glucose biosensor. First, Zinc oxide (ZnO) nanoparticles have been prepared via the green route using olive leaves extract as a reductant. ZnO/ppy nanocomposite has been synthesized by a simple in-situ chemical oxidative polymerization of pyrrole (Py) monomer using FeCl3 as an oxidizing agent. The produced materials and the composite films were characterized using X-ray diffraction analysis (XRD), scanning electron microscope (SEM), Fourier transform infrared (FTIR) and thermogravimetric analysis (TGA). Glucose oxidase was successfully immobilized on the surface of the prepared membrane and then ZnO/polypyrrole/cellulose acetate/GOX composite was deposited on the platinum electrode for determination of the current at different initial concentrations of glucose. Current measurements proved the suitability and the high sensitivity of the constructed biosensor for the detection of glucose levels in different samples. The performance of the prepared biosensor has been assessed by measuring glucose concentration for different samples with known concentrations. The results affirmed the reliability of the developed biosensor towards real samples which suggests the wide-scale application of the proposed biosensor.