bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Novel Use of Structural Equation Modeling to Examine Diet and metabolic traits Associated with Micro-Vascular Endothelial Dysfunction in Middle-aged Chinese Males
Authors: Miao Rujia , Yu Renhe , Zhou Hui , Liu Lei , Peng Ting , Wang Jiangang 
Published: August 2022

Abstract

Background: The present study aims to use structural equation modeling with multiple regression pathways to examine direct and indirect links from diet and metabolic traits to micro-vascular endothelial dysfunction (ED) among middle-aged Chinese males. Methods: The study was conducted in middle-aged Chinese males, who underwent a health checkup between 2018 and 2019. Data on life-style behavior factors (physical activity, diet pattern, sleep quality, and diet data underwent factor analysis in advance) and metabolic risk factors referring to metabolic traits were introduced into the structural equation model (SEM) to examine interrelationship among these factors and their association with ED, as evaluated by the reactive hyperemia index (RHI). Results: Both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) identified two major dietary patterns: "prudent pattern" and "western pattern". The univariate test suggested that only triglycerides (TG) and prudent dietary pattern were directly associated with RHI. Furthermore, prudent dietary pattern had an indirect association with RHI via triglyceride (Prudent diet→TG:β=-0.15,P<0.05; TG→RHI:β=-0.17,P<0.001). As to confirming the hypothesized association between variables apart, physical activity frequency was correlated to the decrease in TG (β=-0.29,P<0.001), but had no direct correlation to RHI. Conclusion: The network of direct and indirect associations among diet pattern and cardio-metabolic risk factors with RHI measured ED among middle-aged males. The most significant modifiable factors identified were TG and prudent diet pattern, which needs to be targeted as preventive strategies for early micro-vascular impairment.
Synthesis, in-silico and anti-inflammatory activities of novel coumarin derivatives
Authors: Yadav Sonia , Gupta Tinku , Kumar Nitin , Bhalla Vijay , Jogpal Vikas 
Published: August 2022

Abstract
With the advancement of anti-inflammatory drugs, the achievement of a desired therapeutic action is always jeopardized because of several biological factors. The objective of this study is to explore the anti-inflammatory potential of coumarin synthesizers using in-silico and in-vivo approaches. A series of 20 coumarin derivatives have been synthesized into two different schemes (Schemes 1 and 2) and explored for anti-inflammatory potential against TNF-α- and carrageenan -induced inflammation, respectively. The results of the study revealed an important anti-inflammatory potential demonstrated by compound 8 of Scheme 1 and compounds 1 and 4 of Scheme 2 against inflammation caused by carrageenan. In addition, there was a significant reduction (p < 0.001) in inflammatory cytokines (TNF-α, IL-6 and IL-1β). In light of this, the study reveals the anti-inflammatory potential of synthetic coumarin, compounds 8, 1 and 4 of both regimens being the most effective anti-inflammatory.
A new [δ-PMoVMoⅥ11O40]-based hybrid as multifunctional fluorescent sensor for detecting cations, anions and antibiotics in aqueous solution
Authors: Li Shuang , Sun Ji-Yu , Zhang Zhong , Yang Lin , Liu Guo-Cheng , Wang Xiu-Li 
Published: August 2022

Abstract
A new POM-based hybrid, [δ-H4PMoVMoⅥ11O40](L)5·5H2O (1) (L = 4-methylpyridine-4-yl-1,8-naphthalene dicarboxylamide), was synthesized under hydrothermal conditions and characterized by IR spectroscopy, powder X-ray diffraction (PXRD), and X-ray photoelectron spectroscopy (XPS). 1 can acts as multifunctional fluorescent sensor to detect metal cation (Fe3+), anions (Cr2O72− and CrO42−), and antibiotics (NFT = nitrofurantoin, NIT = nitrofurazone, OXY = oxytetracycline) in aqueous environment. The detection limits of 1 were 8.9 × 10− 5, 2.1 × 10− 4, 2.2 × 10− 4, 1.4 × 10− 4, 6.9 × 10− 4, and 6.1 × 10− 4 mol·L− 1 for Fe3+, Cr2O72−, CrO42−, NIT, NFT, and OXY, respectively. Furthermore, the quenching mechanism between 1 and the different analytes can be regarded as energy competitive absorption.
A Novel Strategy for Classifying Spectral-spatial Shallow and Deep Hyperspectral Image Features Using 1D-EWT and 3D-CNN
Authors: Ladi Sandeep Kumar , Panda G K , Dash Ratnakar , Ladi Pradeep Kumar 
Published: August 2022

Abstract
Hyperspectral images (HIs) are used in diverse disciplines, such as resource handling, land cover analysis, food science, anomaly detection, and precision agriculture. Researchers have been working on a number of visual processing and machine intelligence algorithms to handle this type of data as efficiently as feasible. Deep learning approaches have advanced significantly in the field of machine vision, which is also having a big impact on the analysis of hyperspectral data. To increase its discriminative potential for HI classification, this work suggests a powerful 3D-CNNs (Convolutional Neural Networks) architecture, where the shallow features extracted using 1D-EWT (Empirical Wavelet Transform) are served as input, and the ultimate output of the CNN are projected class-related outcomes. The framework is known as PEC, where P stands for PCA, E for 1D-EWT, and C for 3D-CNN model. Prior to features extraction, the HI undergoes spectral dimension reduction via Principle Component Anaalysis (PCA). To forecast segmentation for a volumetric area of a 3D HI sample, 3D CNNs use 3D convolutional kernels. The usage of more parameters by these CNNs means that the ability to employ interslice context that can boost performance. The CNN model's parameters are optimised using a limited training set. The trials on three real-world data sets have shown that the newly proposed PEC framework performs significantly better than similar approaches.
Defining in vivo transcriptional responses to auxin
Authors: Xie Mingtang , Huang Ling , Song Liang , O’Neil Ryan , Lewsey Mathew , Chen Hongyu , Chen Huaming , Zhuo Rongrong , Shokhirev Maxim , Alonso Jose , Ecker Joseph 
Published: August 2022

Abstract
The plant hormone auxin regulates many aspects of the plant life cycle through a series of transcriptional responses mediated by Auxin Response Factors (ARFs). However, thus far, it has not been possible to identify in vivo DNA binding sites for most of ARFs leading to a major gap in our understanding of these master regulatory transcription factors. Here we identify the DNA binding profiles for several ARFs as well as Aux/IAA proteins (IAAs), repressors of the response to auxin that heterodimerize with ARFs, using ChIP-seq. As expected, the common target genes of all tested ARFs are highly enriched in known auxin-responsive genes, each containing the motif K(T/G)GTCBB(T/G/C) with a core GTC and a non-A flanking sequence. Unexpectedly, genome-wide ARF binding sites are strongly associated with Aux/IAA ChIP-seq peaks, providing evidence that the Aux/IAA-ARF complex may control auxin transcriptional responses directly on the promoters of hormone-responsive genes. Additionally, we find that ABA response genes are also primary targets of an ARF10-IAA19 module and that a putative repressor ARF(ARF10) binds the same set of targets as activator ARFs. Finally, although ARFs have previously been reported to have strict spacing between their motifs when assayed in vitro, we observe that conservation of the spacing of ARF binding motifs is less rigid when assayed in planta.
Assortment of the potentially relevant genes by a novel hybrid algorithm PSO-GA
Authors: Saeed Sana , Shafique Amara , Faheem Maham , Saleem Kanwal 
Published: August 2022

Abstract
The implementation of state-of-the-art machine learning (ML) procedures for handling high dimensionality is prolonged in health care, particularly in genetics. Microarray datasets occupying a significant place in genetics are facing the problem of high dimensionality: small sample size but a large number of variables (genes). Therefore, a need is to identify only the significant genes from these large sizes data sets, which are playing a momentous role in the progress of sickness. Metaheuristics, another emerging field for researchers is exploited for the solution of the previously said task. Therefore, the said task is resolved by a newly proposed hybrid which is a combination of two: Particle swarm and genetic algorithm i.e. PSO-GA. Through the usage of the afresh proposed hybrid, the significant genes are designated from the large magnitude data sets. The effectiveness is justified by cooperating with the benchmark unconstraint tests. Thereafter, with the help of the assorted genes, classification of the various gene datasets is done. It is worth noting that the projected hybrid successfully gained its position while classifying several datasets in terms of maximum accuracy. The superlative assortment of associated genes by PSO-GA through an ML classifier has contributed positively to the classification of microarray datasets.
Rearing in an enriched environment ameliorates the ADHD-like behaviors of Lister hooded rats while suppressing neuronal activities in the medial prefrontal cortex
Authors: Utsunomiya Ryo , Mikami Kanta , Doi Tomomi , Choudhury Mohammed E. , Jogamoto Toshihiro , Tokunaga Naohito , Ishii Eiichi , Eguchi Mariko , Yano Hajime , Tanaka Junya 
Published: August 2022

Abstract
Genetic factors play a critical role in the pathogenesis of attention deficit/hyperactivity disorder (ADHD), but environmental factors may also be responsible for ADHD symptoms. In this study, Lister hooded rats (LHRs), which are outbred rats that exhibit more hyperactive, inattentive, and impulsive behaviors than Wistar rats, were used as ADHD model animals. Male LHR pups were kept in four rearing conditions from postnatal day 23 (4 rats in a standard cage; 12 rats in a large flat cage; and 4 or 12 rats in a large, tall cage with an enriched environment [EE]) until 9 weeks of age. EE rearing decreased the activity of LHRs in the open field test that was conducted for 7 consecutive days. LHRs reared in a large flat cage did not exhibit any apparent change in motor activity. In the drop test, most rats reared in an EE remained on a disk at a height, whereas most rats reared in a standard cage fell off. The rats reared in an EE for 3 weeks from 6 weeks of age also showed an improvement in their ADHD-like behaviors. RNA sequencing revealed that the expression of immediate-early genes in the medial prefrontal cortex (mPFC) of LHRs reared in a standard cage was higher than that in the mPFC of LHRs reared in an EE. cFos-expressing neurons were reduced in number in LHRs reared in an EE. These results suggest that growing in an EE from childhood or adolescence improves ADHD-like behaviors and that said improvement is due to the suppression of neuronal activity in the mPFC.
Modified Bushen Yiqi formula attenuates neutrophils recruitment to the lung in rats model of COPD via inhibiting the CXCL1/CXCL5/CXCL8-CXCR2 axis and its downstream STAT and SRC signaling pathways
Authors: Kong Qing , Wang Bin , Zhong Yuanyuan , Liu Baojun , Dong Jingcheng 
Published: August 2022

Abstract
Background: Modified Bushen Yiqi formula (MBYF) demonstrates a therapeutic effect on patients with chronic obstructive pulmonary disease (COPD), however, its mechanism against COPD remains unclear. This study aims to explore the therapeutic effect and mechanisms of MBYF in a rat model of COPD.Methods: The therapeutic effect of MBYF(12.5 g/kg or 25 g/kg) on six-month cigarette smoke (CS)-induced COPD rats model was evaluated through pulmonary function test, inflammatory cell count in bronchoalveolar lavage fluid (BALF), and inflammatory cytokines in serum and BALF. The therapeutic mechanism was revealed by the RNA-sequencing using lung tissue in CS and CS+MBYF group and confirmed via immunohistochemistry, enzyme-linked immunosorbent assay, and Western blot. Results: MBYF remarkably improved the pulmonary function in the rat model of COPD, ameliorated inflammatory cell accumulation in the lung, and reduced the level of inflammatory cytokines in pulmonary and systemic. Mechanistically, MBYF suppressed the chemotactic migration of neutrophils into the lung by down-regulating CXC motif chemokine ligands (CXCL)1/CXCL5/CXCL8-CXC chemokine motif receptor (CXCR)2 axis. Moreover, MBYF inhibited the activation of STAT1, STAT3, and SRC, which are the downstream signaling pathways of the chemokine-chemokines receptor.Conclusion: MBYF attenuated neutrophils recruitment to the lung in the rats model of COPD via inhibiting the CXCL1/CXCL5/CXCL8-CXCR2 axis and its downstream STAT and SRC signaling pathways. Our results support further investigation of MBYF as a promising therapy in the management of COPD.
Bioinformatics Construction and Experimental Validation of a novel N6- Methylandenosine(m6A)-related lncRNA signature predicts prognosis and immune microenvironment in colon cancer
Authors: Lu Liqing , Zhou Chenghui 
Published: August 2022

Abstract
Background
Colon cancer is one of the most usual malignancies. which affects millions of people worldwide. M6A regulators play significant roles in oncogenesis, tumor progression and prognosis of cancers. The relevance of m6A-related lncRNAs in colon cancer has not been determined. Therefore, the data of transcriptome expression and clinical features were collected from the TCGA database.
Methods
Transcriptome data, miRNA-sequencing data, and clinical information were downloaded from the TCGA database. The m6A-related lncRNA signature was constructed via comprehensive analyses of lncRNA expression level and corresponding clinical data. Besides, the nomogram was built in view of the independent variables. Gene Set Enrichment Analysis (GSEA) and CIBERSORT algorithms were applied to evaluate the potential biological functions and to appraise the tumor microenvironment in the two risk groups, respectively. Moreover, the knockdown of m6A-related lncRNA was performed for in vitro analysis, as well as proliferation and colony formation assay.
Results
The result of Kaplan-Meier curve demonstrated remarkable differences in colon cancer patients' overall survival in the two risk groups in two cohorts. Receiver operating characteristic (ROC) curves were applied to appraise the manifestation of the model. Univariate and multivariate Cox regression analysis illustrated that the risk score was an independent prognostic factor in two cohorts. Prognosis-related lncRNA ITGB1-DT, SNHG26, AP006621.2, AL513550.1, and AP001619.1 were identified as prognostic risk variables. Knockdown of ITGB1-DT repressed colon cancer cells’ proliferation and colony formation.
Conclusions
This study indicates that m6A-related lncRNAs can function as the underlying independent prognostic biomarkers for colon cancer survival.
Tourists’ perception of outstanding universal value of world natural heritage:a case study of South China Karst
Authors: Ye Shian , Song Xiaoyu , Wu Kehua 
Published: August 2022

Abstract
World heritage is the common wealth of all mankind. How the public perceives the “outstanding universal value(OUV)” under the framework of the expert knowledge system and whether they can consciously recognize, which is already related to the interpretation of heritage value and protection management. Taking the South China Karst World Natural Heritage property as case sites, this paper analyzes the tourists’ perception of OUV and further explore the underlying reasons behind the perception based on online text data. The results showed that: (1) Tourists do not have a high degree of perception of the OUV in the South China Karst World Natural Heritage property, and there are obvious differences; (2) The landscape features of the heritage site at different stages of karst landform evolution have become a prerequisite for the difference in the tourists' perceptions of the karst landscape and aesthetic features of the heritage site. The insufficient OUV display during the tourism development of the heritage site has resulted in an overall low level of tourists’ perception, in addition to the service and experience are gradually valued by tourists, thus the OUV landscape of the heritage site is no longer a hot spot. The image of the tourist destination constructed by the heritage site runs through the pre-tourism motivation, willingness and the post-tourism evaluation of tourists, and then deepens the perception of heritage OUV. By understanding the tourist group's perception of heritage OUV, the results of the study can provide a certain theoretical and practical reference for the development, operation and management of heritage tourism.
Prevalence of Cannabidiol (CBD) consumption and cancer patients’ expectations in one Oncology Day-Hospital: A cross-sectional study and questionnaire validation
Authors: Bozec Antoine Le , Guédon Marie , Brugel Mathias , Laurent Maeliss , Carlier Claire , Hettler Dominique , Perrier Marine , Aubert Léa , Slimano Florian , Mongaret Céline , Bouché Olivier 
Published: August 2022

Abstract
Purpose: The growing interest of cannabidiol (CBD) in medical care prompted french health authorities to explore the potential of CBD in cancer-related severe symptoms. This study aimed to assess the prevalence of CBD use among cancer patients with potential associated factors and to measure the cancer patient’s health literacy (HL) on CBD consumption.Methods: In a prospective study in oncology day-care hospital including patients from October 29th to December, 20th 2021, we collected demographic, biological and oncological characteristics. Patient CBD HL was measured by the hetero-questionnaire 8-item-CBD HL scale (HLS-8-CBD) whose conception has been validated by a psychometric analysis.Results: Among 363 participants, 20 patients (5.5%) reported CBD use. Factors associated with CBD use were: age <60yrs (Odd Ratio=7.80[1.36-13.32], p<10-4 versus ≥60yrs), smoking history (OR=5.53[1.81-16.88], p<0.01) and no smoking cessation (OR=5.07[1.66-15.46], p<0.01). CBD use was also associated with a better CBD total HL score than non-users (pvalue=0.02).Conclusion: Identification of factors associated with CBD use and a relatively high patient CBD HL in CBD users showed that CBD use in cancer patients care represented a new concern and should enhance health professionals to consider CBD with its associated drug-related problems.
Parallel implementations of randomized vector algorithm for solving large systems of linear equations
Authors: Sabelfeld Karl K. , Kireev Sergey , Kireeva Anastasiya 
Published: August 2022

Abstract
The results of a parallel implementation of a randomized vector algorithm for solving systems of linear equations are presented in the paper. The solution is represented as a Neumann series. The stochastic method computes this series by sampling only random columns, avoiding matrix-by-matrix and matrix-by-vector multiplications. We consider the case when the matrix is too large to fit in random-access memory (RAM). We take two approaches to solving this problem. In the first approach, the matrix is divided into parts, which are distributed among the MPI processes and stored in the available RAM of the cluster nodes. In the second approach, the entire matrix is stored on the hard drive of each node, loaded into RAM and processed in parts. Independent Monte Carlo experiments for random column indices are distributed among MPI processes or OpenMP threads for both matrix storage approaches. The efficiency of parallel implementations is analyzed. Results are given for a system governed by dense matrices of size 104 and 105 .
A Method for Analyzing the Texture Features of Free-form Surface Polishing Paths Based on Co-occurrence Matrix
Authors: Li Jiaxuan , Zhou Bo , Li Lun , Zhao JiBin , Zhu Guang , Cai Ming 
Published: August 2022

Abstract
Analysis of polished surface texture features has been the subject of many classic studies in surface polishing technology and is a key indicator for evaluating the polishing path. In this paper, a new method to analyze the texture features of polishing based on co-occurrence matrix is proposed. It extends the previous approach termed the residual level co-occurrence matrix (RLCM) focusing on the distribution of surface polishing residues, leading to more targeted and stabilized evaluation results. This method can be used in the path planning stage to estimate the polishing quality of the planned path without physical processing, which can avoid resource waste in the physical world. Furthermore, in this method the usage of images is avoided, which can ensure that the results are not affected by the light and image quality. Simulation experiments as well as empirical investigations were conducted to verify the feasibility of the method. The results of both consistently reveal that the proposed method is able to accurately describe the texture feature and correctly analyze the texture feature.
The Inheritance of Axillary Heading Tendency in Cabbage, Brassica oleracea L. (Capitata Group)1
Authors: Akratanakul Wanee , Baggett James R. 
Published: August 2022

Abstract
The tendency for axillary head (AH) development in Brassica oleracea (Capitata group) was shown to be a heritable characteristic. In 11 crosses between high and low AH lines carried at least through the F2 generation, AH was recessive and largely controlled by one or a few genes. In other crosses, in which only the F1 generation was studied, AH tendency usually resembled that of the parent having a low level of AH, but in certain crosses was intermediate or closer to the high scoring parent. Expression of AH was continuous and apparently influenced by modifying genes and the environment. Broadsense heritability estimates were high, but narrowsense heritability estimates were very low indicating dominance effects. No consistent or apparently important differences were found between reciprocals. The weight of AH was not related to yield of main heads in F2 plants.
Nitrogen-water Relationships of Onions Grown on Organic Soil1
Authors: Riekels Jerald W. 
Published: August 2022

Abstract
Field experiments were conducted on organic soil for 2 years to evaluate the influence of frequent irrigation and topdressings with N on growth, maturity and storage life of onions (Allium cepa L.). With no irrigation, growth to midseason, maturity, and final yield were not influenced by increasing amounts of N. The growth to midseason, and the final yield increased and maturity was earlier with increasing amounts of N applied to onions receiving 5 cm of rainfall + irrigation per week. Sprouting in storage was earlier with high N and latest with no N or with the low N rates. The effect was greater with irrigation.
Onions did not respond to N topdressing without irrigation even though rainfall was regular. With irrigation, the highest yield and earliest maturity was obtained with 22 or 34 kg of N/ha applied whenever the crop received 10 cm of water. No advantage in yield or maturity was obtained by applying N after mid-July. Maturity was earlier without irrigation regardless of N treatment.