bluuebunny/crossref_metadata_2025_split huggingface dataset:
Study on the Application and Optimization of Domestic Sewage Treatment Demonstration Based on a Novel Biofilter-Constructed Wetland Coupling System
Authors: Wang Xiaomin , Liu Yunli , Zhang Yi , Shi Wenqing , Yang Yifan , Kong Lingwei 
Published: June 2021

Abstract
A novel biofilter-constructed wetland coupling system has been applied more than 160 domestic sewage treatment projects in different cities of Zhejiang province, China. The performance of a randomly selected project (flux rate was 27.0 m3/d) based on the coupling system was evaluated in long-term, and the effluent monitoring by big data analysis showed a relatively stable and good water quality. The effluent concentrations of CODCr, NH4+-N and TP was 37.57 ± 11.17 mg/L, 5.64 ± 1.69 mg/L and 0.82 ± 0.16 mg/L, respectively, which met the first class of "Standards for Discharge of Water Pollutants from Rural Domestic Sewage Treatment Facilities" (DB33/973–2015). The concentrations of effluent TP showed a strong polynomial curve fitting with effluent NH4+-N concentrations (R2 = 0.9329) according to the big data analysis. Besides, the concentrations of effluent CODCr had a strong positive linear correlation with the concentrations of effluent NH4+-N (R2 = 0.9297), which increased with the increase of effluent TP concentrations (R2 = 0.6957). Results also showed C/N had stronger correlation with pH (R2 = 0.6441), while the concentration of effluent NH4+-N and effluent TP had weak correlation with pH (R2 = 0.3348 and R2 = 0.4834, respectively). The findings might have very important guiding significance for the future monitoring methods of water effluent quality of treatment facility and the cost reduction of monitoring management. Moreover, a demonstration and experiments were carried out for a contrast study of the enhanced system (b) and original system (a). The removal efficiency of CODCr, NH4+-N and TP of the enhanced system (b) was 81.33 %, 90.22 %, and 75.44 %, respectively, which increased by 4.33 %, 9.11 % and 13.77 % respectively compared to the original system (a).
Economic Impact of Neem Coated Urea on Indian Agriculture: Evidence from a Benchmark Study
Authors: Basavarajappa Ramappa Kumsher , Jadhav Vilas , Manjunatha A.V 
Published: June 2021

Abstract
The policy of mandatory production and distribution of Neem Coated Urea (NCU) from May 2015, with a focussed attention on improving the soil quality through a judicious use of fertilizers seems to be in the right direction, considering the benefits realized so far by the Indian farming community. In this article, authors have made an attempt to explore the benefits recognized by the producers of six major crops such as paddy, maize, sugarcane, tur, jute and soybean across the six major states viz., Karnataka, Maharashtra, Madhya Pradesh, Bihar, Punjab and Assam with 2200 sample households. The reference period of the study was the immediate season (Kharif 2015) post the NCU production. The results reveal that NCU use has contributed positively in terms of increasing the yield levels of both main product and by-products with regard to almost all the reference crops under study. However, the extent varies from crop to crop, highest being in the case of soybean, followed by tur, maize, sugarcane, paddy and jute. While the net returns are highest in respect of tur, followed by paddy. As regards B:C ratio, tur tops the list subsequent to sugarcane, paddy, soybean, maize and jute. Moreover, NCU has helped reduce the cost of production by minimizing the cost of urea as well as of other fertilizers and pesticides usage. Interestingly, the diversion of urea has stopped completely, post the production and distribution of NCU. Hence, it is concluded that the application of NCU has a positive impact on Indian agriculture, by way of increasing yield levels & returns for the farming community. These results are in line with the PM's vision of doubling farmers’ income by 2022 and Sustainable Development Goals of the Country.
Saudi Arabian Administrative Areas and Neighborhoods in COVID-19 Infections: An Application of 3 X 3 Model
Authors: Salam Asharaf Abdul 
Published: June 2021

Abstract
Saudi Arabia has been seriously affected by COVID-19 across various administrative areas. Not only the prominent cities but also upcoming future cities and small townships were affected. This research aims at an analysis of COVID-19 data published by the Ministry of Health of Saudi Arabia to understand effects of broader administrative areas and neighborhoods and its interaction on spread of the epidemic. This research applies a generalized linear model (3 X 3) of administrative areas (major, middle sized and others) and neighborhoods (large, medium sized, and others) on COVID-19 infected cases classifying on a monthly basis from March to November, 2020. A total of 213 neighborhoods of various categories have been affected in the country with variousfrequencies and changes, based on local demographics. More than the broader administrative areas smaller neighborhoods receive significance and thus the interaction of variables in producing the number of cases: giving lessons for policies, programs and plans of development.
Evaluating Interfacial Stability in Solid-State Pouch Cells Via Ultrasonic Imaging
Authors: Huang Yunhui , Huo Hanyu , Huang Kai , Luo Wei , Meng Jintao , Zhou Liangyi , Deng Zhe , Wen Jiayun , Dai Yiming , Huang Zhimei , Shen Yue , Guo Xiangxin , Ji Xiulei 
Published: June 2021

Abstract
Chemical/electrochemical stability at the interfaces greatly affects the performance of solid-state batteries (SSBs). However, the interfacial behavior in SSBs remains elusive due to the subsurface nature of interfaces and the lack of proper characterization methods. Herein, ultrasonic imaging technology is employed to non-destructively investigate the interfacial stability in solid-state pouch cells. Benefiting from the high sensitivity of ultrasound to the gas/vacuum, in-situ ultrasonic imaging can effectively probe the inner gas release and interfacial degradation in pouch cells during long-term cycling. The safety issue of SSBs is highlighted by the flammable gas release detected in ultrasonic images. And the increased interfacial resistance either from contact loss or passivation layer growth is well distinguished. The gradual oxidation and gassing at the cathode interface are tracked by ultrasonic imaging, which leads to the capacity fading of SSBs. The ultrasonic imaging technology is demonstrated to be a powerful tool to evaluate the interfacial stability in SSBs, which can guide the rational design of interfaces and enhance the performance of SSBs.
APOEe4.Trem2*R47H Mice Show Changes in Alzheimer’s Disease-Relevant Processes in the Absence of Amyloid Plaques
Authors: Kotredes Kevin P. , Oblak Adrian , Pandey Ravi S. , Lin Peter Bor-Chian , Garceau Dylan , Williams Harriet , Uyar Asli , O’Rourke Rita , O’Rourke Sarah , Ingraham Cynthia , Bednarycek Daria , Belanger Melisa , Cope Zackary , Foley Kate E . , Logsdon Benjamin A , Mangravite Lara M . , Rizzo Stacey J . Sukoff , Territo Paul R . , Carter Gregory W . , Sasner Michael , Lamb Bruce T . , Howell Gareth R . 
Published: June 2021

Abstract
Late-onset Alzheimer’s disease (LOAD) is the most common human neurodegenerative disease. Legacy amyloidogenic mouse models have been useful for understanding disease progression, however in the face of failing human trials more focus on disease translation with new mouse strains that better model human Alzheimer’s disease (AD) is required. MODEL-AD (Model Organism Development and Evaluation for Late-onset AD) groups are identifying and integrating disease-relevant, humanized gene sequences from public databases to create more translatable mouse models for therapy development. Mice expressing strong genetic risk factors for LOAD, APOEe4 and Trem2*R47H, were extensively aged and assayed using a multi-disciplined phenotyping approach associated with and relative to human AD pathology. Behavioral, transcriptomic, metabolic, and neuropathological assays identified sex and age as the main sources of variation between genotypes including age-specific enrichment of AD-related processes in the absence of mouse amyloid plaque formation. These data provide an important, baseline understanding of the individual effects and interaction between two strong genetic risk factors for LOAD. These two alleles together form a sensitized, background strain (B6.APOE4.Trem2*R47H, which we have termed ‘LOAD1’) necessary to examine how important underlying risk factors interact with any subsequent genetic or environmental cues to drive pathology.
A Single Amino Acid Insertion in LCYB2 Deflects Carotenoid Biosynthesis in Red Carrot
Authors: Cho Hye Sun , Jo Seung Hee , Park Hyun Ji , Lee Areum , Jung Haemyeong , Min Sung Ran , Lee Hyo-Jun , Kim Hyun-Soon , Jung Min , Hyun Ji Young , Kim Youn-Sung 
Published: June 2021

Abstract
Carotenoids are phytochemicals that are precursors of vitamin A and effective antioxidants, required for human health. The mechanisms and underlying genetic network responsible for regulating carotenoid production in plants, however, is poorly understood, despite the carotenoid biosynthesis pathway being known. We found that a single amino acid insertion in lycopene β-cyclase2 (LCYB2) caused catalytic failure, possibly due to a flux down of lycopene to the carotenoids which may be the molecular basis for the color of red carrot roots.
The m6A Demethylase FTO Promotes Esophageal Cancer Progression Through YTHDF1-Dependent Posttranscriptional Silencing of AKT3
Authors: Zang Chunbao , Zhao Fangfang , Huang Dabing , Kong Lingsuo , Xie Minghua , Tan Yiao , Pu Youguang 
Published: June 2021

Abstract
Background

N6-methyladenosine (m6A) is the most abundant modification in eukaryotic messenger RNAs (mRNAs), and plays important roles in many bioprocesses. However, its functions in esophageal cancer (ES) remain elusive.
Methods

Methylated RNA immunoprecipitation sequencing (MeRIP-seq) and transcriptomic RNA sequencing (RNA-seq) were used to screen the target genes of FTO. Western blot, quantitative real-time PCR (RT-qPCR) and immunohistochemical (IHC) were used to detect FTO expression in cell lines and patient tissues. The biological functions of FTO were investigated in vitro and in vivo. RNA pull-down and RNA immunoprecipitation assays were conducted to explore the specific binding of target genes.
Results

We discovered that the RNA demethylase FTO was significantly up-regulated in human ES. Knockdown of FTO drastically reduced ESCCs cell proliferation, migration, invasion, and apoptosis in the ESCCs. On the other hand, overexpression of FTO significantly promoted ESCCs growth and invasion. Moreover, we found that the m6A methyltransferase METTL14 negatively correlates with FTO function on ES progression. By using transcriptome-wide m6A-Seq and RNA-Seq assays, we identified AKT3 is the target of FTO, which acts in concert in esophageal cancer tumorigenesis and metastasis. Moreover, loss and gain functional studies confirm that YTHDF1 mediates m6A-increased translation of AKT3 mRNA.
Conclusion

Our results uncovered an METTL14/FTO/YTHDF1/AKT3 signaling network that regulates the ES progression.
Diagnostic Performance of Plasma Gastrin Concentration for the Diagnosis of Type 1 Abomasal Ulcer in Water Buffalo: A Preliminary Case Control Study
Authors: Hussain Syed Ashaq , Uppal S K , Sood N K 
Published: June 2021

Abstract
The type 1 abomasal ulcer (AU1) does not have specific clinical signs, and there is a need to identify some early biochemical markers for diagnosis of AU1 in cattle and buffaloes. Plasma gastrin is reported to reflect the gastric mucosa damage but its utility for diagnosis of AU1 in buffaloes has not been evaluated. The objective of this study was to study the test performance of plasma gastrin to distinguish healthy buffaloes and buffaloes with AU1. Twenty-three buffaloes with AU1 and six buffaloes without abomasal ulcer were used. Blood samples were collected from the buffaloes, slaughtered in a buffalo specific slaughter house, for estimation of plasma gastrin. After slaughter abomasa were examined for presence of AU1 and were confirmed by histology. The mean plasma gastrin concentration of ulcer positive buffaloes was significantly (p<0.05) higher than the ulcer negative buffaloes. The ROC curve analysis suggested optimal value of plasma gastrin for diagnosis of AU1 was 106.2 pg/ml. Since the abomasal ulcer negative animals were established to be ulcer negative on histopathological examination we consider the values of gastrin valid for detection of abomasal ulceration in buffaloes. The sensitivity, specificity, positive predictive value and negative predictive value of plasma gastrin to diagnose AU1 in buffalo were 78.3, 100, 100 and 69.9, respectively.
Screening of DNA Damage Repair Genes Involved in the Prognosis of Triple-Negative Breast Cancer Patients Based on Bioinformatics
Authors: Wang Nan , Gu Yuanting , Chi Jiangrui , Liu Xinwei , Xiong Youyi , Zhong Chaochao , Wang Fang , Wang Xinxing , Li Lin 
Published: June 2021

Abstract
Background: Triple-negative breast cancer (TNBC) is a special subtype of breast cancer with poor prognosis. DNA damage response (DDR) is one of the hallmarks of this cancer. However, the association of DDR genes with the prognosis of TNBC is still unclear.Methods: We identified differentially expressed genes (DEGs) between normal and TNBC samples from The Cancer Genome Atlas (TCGA). DDR genes were obtained from the Molecular Signatures Database (MSigDB) through six DDR gene sets. We then overlapped the DEGs with DDR genes. Based on univariate and LASSO Cox regression analyses, a prognostic model was constructed to predict overall survival (OS). Kaplan–Meier (K–M) analysis and receiver operating characteristic (ROC) curve were used to assess the performance of the prognostic model. Cox regression analysis was applied to identify independent prognostic factors in TNBC. The prognostic model was validated using an independent dataset. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were performed by using gene set enrichment analysis (GSEA). Single-sample gene set enrichment analysis (ssGSEA) was employed to estimate immune cells related to this prognostic model. Finally, we constructed a transcriptional factor (TF) network and a competing endogenous RNA (ceRNA) regulatory network.Results: 23 differentially expressed DDR genes were detected between TNBC and normal samples. The six-gene prognostic model we developed was shown to be related to OS in TNBC using univariate and LASSO Cox regression analyses. By drawing ROC curve and KM curve, we determined the effectiveness of the risk model. The prognostic value of the six-gene prognostic model was further validated using the GSE58812 dataset. The GSEA analysis indicated that the genes in the high-risk group were mainly correlated with leukocyte migration, cytokine interaction with cytokine receptors, oxidative phosphorylation, autoimmune diseases, and coagulation cascade. The mutation data revealed that the mutation frequency of the two groups was the same, while the mutated genes were different. The gene-TF regulatory network showed that Replication Factor C subunit 4 (RFC4) occupied the dominant position.Conclusion: We identified six gene markers related to DDR, which can predict prognosis and serve as an independent biomarker for TNBC patients.
Biomimetic Metal-organic Framework Nanoparticles for Synergistic Combining of SDT-chemotherapy Induce Pyroptosis in Gastric Cancer
Authors: yu zhu , Cao Wenlong , Han Chuangye , Wang Zhen , Qiu Yue , Wang Jiancheng , Wang Junfu , Zhang Siwen , Liu Senfeng , Mo Shutian , Chen Junqiang 
Published: June 2021

Abstract
In recent years, sonodynamic therapy (SDT) has been widely developed for cancer research as a promising non-invasive therapeutic strategy. Here, we synthesized Zeolitic imidazole frameworks-8 (ZIF-8) and utilized its properties to encapsulate hydrophobic Chlorin e6 (Ce6) and hydrophilic tirapazamine (TPZ) for a synergistic sonodynamic-chemotherapy, which was also accompanied by the modification of cytomembrane of gastric cancer (GC) cells. Thus, we enabled the biomimetic property to achieve targeted delivery. Ce6-mediated SDT, in combination with ultrasound irradiation, could target the release of reactive oxygen species (ROS) to aggravate further hypoxia, which activated TPZ. Combining these effects could induce the pyroptosis of GC cells. Both in vitro and in vivo experiments showed that the nanoparticle had good biocompatibility and anti-cancer function, which could provide a potential therapeutic method for cancer therapy.
Application of Extended Rational Trigonometric Techniques to Investigate Solitary Wave Solutions
Authors: Mahak Nadia , akram ghazala 
Published: June 2021

Abstract
In this paper, a variety of novel exact traveling wave solutions are constructed for the (2+1)-dimensional Boiti-Leon-Manna-Pempinelli equation via analytical techniques, namely, extended rational sine-cosine method and extended rational sinh-cosh method. The physical meaning of the geometrical structures for some of these solutions is discussed. Obtained solutions are expressed in terms of singular periodic wave, solitary waves, bright solitons, dark solitons, periodic wave and kink wave solutions with specific values of parameters. For the observation of physical activities of the problem, achieved exact solutions are vital. Moreover, to find analytical solutions of the proposed equation many methods have been used but given methodologies are effective, reliable and gave more and novel exact solutions.
Diagnostic Performance of MRI Diffusion Weighted Heterogeneity Index to Discriminate Brain Metastases from Normal Brain Tissue in Hybrid PET/MR
Authors: Özkul Bahattin , Sokmen Bedriye Koyuncu , Sever Ibrahim Halil , Gurcan Nagihan Inan 
Published: June 2021

Abstract
IntroductionTo evaluate diagnostic performance of apparent diffusion coefficient (ADC) heterogeneity index to differentiate brain metastasis (BM) from normal appearing brain parenchyma (NABP) and to find out the correlation between 2-[18F]-fluoro-2-deoxy-D-glucose (18F-FDG) standardized uptake value (SUV) and ADC heterogeneity index derived from hybrid PET/MRI.MethodsWhole-body PET/MRI was performed to evaluate proven 40 BM of 18 oncology patients (9 females, 9 males; mean age 61±16 years), sourced from different primary cancer. Brain sequences, which were dixon and diffusion weighted imaging (DWI) protocols with simultaneous PET were used to calculate coefficient of variance of the ADC (ADCCV) and SUVmax. All images were assessed by three radiologists and the same size of VOI was placed on BM and NABP. Inter-rater reliability was tested by inter-class correlation (ICC). The correlation of ADCCV and SUVmax and the differences in ADC values and SUVmax between BM and NABP were investigated.ResultsThe excellent consistency was found between raters at ADCmean (0.972) and ADCCV (0.995). There was a strong correlation between ADCCV and SUVmax (r=0.763) and a slight inverse correlation between ADCmean and SUVmax (r=-0.122). A statistically significant difference between BM and NABP was determined for ADCCV (p<0.001) and SUVmax (p<0.001). An area under the curve (AUC) of 0.960, 0.998 and 0.574 were obtained with ROC analysis of SUVmax, ADCCV and ADCmean, respectively.ConclusionADCCV may be considered as a potential biomarker that quantitatively discriminates BM from NABP with excellent interrater reliability.
A Novel Predictive Model Associated With Osteosarcoma Metastasis
Authors: Zhang Han , Chen Guanhong , Lyu Xiajie , Li Tao , Chun Rong , Wang Yingzhen , Xu Ying , Lyu Chengyu 
Published: June 2021

Abstract
Background: Long non-coding RNAs (lncRNAs) have diverse roles in modulating gene expression on both transcriptional and translational aspects, whereas its role in the metastasis of osteosarcoma (OS) is unclear.Method: Expression and clinical data were downloaded from TARGET datasets. The OS metastasis model was established by seven lncRNAs screened by univariate cox regression, lasso regression and multivariate cox regression analysis. The area under receiver operating characteristic curve (AUC) values were used to evaluate the models.Results: The predictive ability of this model is extraordinary (1 year: AUC = 0.92, 95% Cl = 0.83–1.01; 3 years: AUC = 0.87, 95% Cl = 0.79–0.96; 5 years: AUC = 0.86, 95% Cl = 0.76–0.96). Patients in high group had poor survival compared to low group (p < 0.0001). “NOTCH_SIGNALING”, and “WNT_BETA_CATENIN_SIGNALING” were enriched via the GSEA analysis and dendritic cells resting were associated with the AL512422.1, AL357507.1 and AC006033.2 (p < 0.05).Conclusion: We constructed a novel model with high reliability and accuracy to predict the metastasis of OS patients based on seven prognosis-related lncRNAs.
Application of OCTA in the Predication of Myopia Progression in Children and Adolescents
Authors: lin lingli , zhang xiaohan 
Published: June 2021

Abstract
Objectives To understand the correlation between the progression of myopia and macular blood flow density in children and adolescents, as well as the relationship between the myopia progression and the axial length changes and height changes, and the prevention and control strategies for myopia were explored Methods This was a Prospective Cross-sectional, observational study, and was conducted from April 2020 to December 2020.A total of 54 myopia participants (54 eyes) were collected from the Optometry Clinic of Ning de City Hospital Affiliated to Ning de Normal University. The participants including 20 males and 34 females were all children and adolescents, age 11.56±1.61(range ,8-14 years old). All participants selected the examination data of the right eye, and those whose spherical equivalent degree(SE) changes ≥0.5 D were selected as the observation group, those with SE changes <0.5 D were classified as the control group, at the same time, they were further grouped by age, those whose age less than 12 years old were divided into the young group, and those whose age ≥12 years old were divided into the old group, and compared the difference in macular blood flow density , height, axial length, et. between the observation group and the control group in the same age group, as well as the correlation between changes of SE. SPSS25.0 statistical software was used for statistical analysis, and independent sample t test, rank sum test, Pearson correlation, et were used for data analysis.Results There was a statistically significant difference in the macular foveal avascular zone (FAZ) between the observation group and the control group in the young group(P<0.05) at baseline, and there were no statistically significant differences between the observation group and the control group in the young group at baseline in the vessel density (VD) and perfusion density (PD) in superficial capillary plexus(SCP) in the macular area, as well as the height and eye axial（P>0.05）.There was a statistically significant difference in axial length between the observation group and the control group at baseline in the old group, there was no significant difference between the observation group and the control group in the VD and PD in SCP in the macular area, height, FAZ at baseline in the old group. The change in SE was positively correlated with the change in the axial length, but there were no significant correlations with the changes in height, VD, PD, and FAZ.Conclusion The area of FAZ in children with fast progression of myopia is smaller than those of slow progression. Adolescents with rapid progression of myopia have longer axial length than those with slower progression. FAZ area and axial length can be used as predictors of myopia progression.