bluuebunny/crossref_metadata_2025_split huggingface dataset:
Benzene Sulfonate Modified ZnCr-LDH&nbsp;and Its Enhanced Adsorption Properties for Anionic Dyes
Authors: Lin Jia , Zhang Yude , Zhang Qian , Shang Jinli , Deng Fuyao 
Published: February 2021

Abstract
A benzene sulfonate modified hydrotalcite (SO3-LDH) was synthesized by a facile one-pot hydrothermal technique, which can efficiently remove methyl orange (MO), Congo red (CR) and orange II (OII) from aqueous solution. After modified by benzene sulfonate, the microstructure of hydrotalcite changes obviously, from the cellular structure to the stacking structure formed by the face-face contact of hydrotalcite nanosheets, which resulted in much more exchangeable nitrate ions to remain in the interlayer space. The pre-insertion of benzene sulfonate as a pillar expanded the interlayer gallery, which facilitated the pollutant anions (MO, CR and OII) into the interlayer of LDH in the subsequent adsorption process. The maximum adsorption capacity of SO3-LDH for MO, CR and OII was 4200.8 mg/g, 1252.0 mg/g and 1670.6 mg/g respectively, which is approximately 1.86 times, 1.8 times and 2.32 times that of the pristine NO3-LDH, respectively. The removal mechanism of anionic dyes was determined as anion exchange between NO3− ions and dye molecules. The adsorption behavior for MO and OII is multilayer adsorption, while the adsorption behavior for CR is monolayer adsorption. The adsorption process mainly was controlled by the chemical bonding between the dye molecules and adsorbent active sites. The benzene sulfonate modified LDH has a great potential to be used as a high-efficient adsorbent to remove anionic dyes from aqueous solution.
Cost-effectiveness Analysis of the Integrated Control Strategy for Schistosomiasis Japonica in Lake Region of China: a Jiangling Case Study
Authors: Wu Ling-Ling , Hu He-Hua , Zhang Xia , Zhou Xiao-Nong , Jia Tie-Wu , Wang Can , Hong Zhong , Xu Jing 
Published: February 2021

Abstract
Background: Under the condition of low epidemic level and limited funding, it is urgent to carry out health economic evaluation on the integrated schistosomiasis control strategy currently implemented in lake region in order to rationally allocate and utilize health resources and maximize benefits. The objective of this study is to provide reference for understanding the effectiveness of the integrated control strategy and adjusting prevention and control strategies or measures. Methods: The investment in schistosomiasis control and disability adjusted life years （DALYs）caused by schistosomiasis were calculated. Incremental cost-effectiveness ratio (ICER) was conducted through calculating the incremental cost of every additional case averted, the incremental cost of every additional DALY averted through implementation of the integrated schistosomiasis control at different control stages in Jiangling County. Results: The total expenditure for schistosomiasis control in Jiangling County from 2009 to 2019 was 607 million Chinese yuan (CNY). The average annual costs for schistosomiasis prevention and control in stages of morbidity control (2009-2012), transmission control (2013-2016), and transmission interruption (2017-2019) were 41.98 million CNY，90.19 million CNY and 26.06 million CNY respectively. The overall disease burden caused by schistosomiasis presented a downward trend. Meanwhile, the disease burden of advanced cases showed an upward trend with the DALY increased from 943.72 to1031.59 person-years. Most disease burden occurred in the age group over 45 years old (especially the elderly over 60 years old). Taking the morbidity control stage as an analysis control, incremental cost-effectiveness analysis (ICEA) showed that the cost increased by 8505.5 CNY and decreased by 2217.6 CNY respectively to avert one additional case in transmission control stage and transmission interruption stage respectively in Jiangling County. Correspondingly, to avert one additional DALY, the cost increased by 73937.6 CNY and decreased by 21508.6 CNY respectively. Conclusions: As the epidemic declines, the integrated prevention and control strategy is more cost-effective. Surveillance and management on elder population should be strengthened to avert higher diseases burden.
Clinical Characteristics of Children With Airway Malacia Complicated by Pneumonia
Authors: Wang Ting , Xu Qiuyan , Dai Ge , Hong Yu , Chen Zhengrong , Lu Min , Yan Yongdong , Jiang Wujun 
Published: February 2021

Abstract
Objective: To summarize the pathogens and clinical presentation of children with airway malacia complicated by pneumonia. Methods: Children hospitalized with airway malacia complicated by pneumonia were eligible for enrollment from January 1, 2013 to December 31, 2019. Medical records of patients were reviewed for etiology, clinical characteristics, and laboratory examination results.Results: A total of 164 pneumonia patients with airway malacia were admitted. The male-to-female ratio was 3:1. The age of patients ranged from 1 month to 4 years old. The median age was 6 (3–10) months. The most commonly detected pathogen were Mycoplasma pneumoniae (25/164, 15.24%), Streptococcus pneumoniae (18/164, 10.98%), and respiratory syncytial virus (16/164, 9.76%). Common signs among the 164 patients with confirmed airway malacia included cough (98.78%), wheezing (67.07%), fever (35.37%), intercostal retractions (23.17%), dyspnea (10.98%), cyanosis (11.11%), and crackles (50%). Compared with those without airway malacia, the incidence of premature delivery and mechanical ventilation was higher, and the duration of symptoms before admission (median, 13.5 d) and hospital stay (median 10.0 d) were longer. Of the children with pneumonia, 11.59% of those with airway malacia required supplemental oxygen compared with 4.88% of those without airway malacia (p<0.05).Conclusion: The median age of children with airway malacia was 6 months. The most common pathogen in patients with airway malacia complicated by pneumonia was Mycoplasma pneumoniae. Patients with airway malacia complicated by pneumonia often presented with a longer disease course, more severe symptoms, and had delayed recovery.
Comparison of Endocrine Outcomes Following Proton and Photon Radiotherapy in Children With Medulloblastoma&nbsp;
Authors: Aldrich Kathleen Danielle , Horne Vincent E. , Bielamowicz Kevin , Sonabend Rona Y. , Scheurer Michael E. , Paulino Arnold C. , Mahajan Anita , Chintagumpala Murali , Okcu Mehmet Fatih , Brown Austin L. 
Published: February 2021

Abstract
Background: Endocrine deficiencies are common following craniospinal irradiation (CSI) in children with brain tumors, but empirical data comparing outcomes following proton (PRT) and photon radiation therapy (XRT) are limited. Methods: This retrospective chart review compared the incidence of hypothyroidism, growth hormone deficiency (GHD), and adrenal insufficiency (AI) in patients with medulloblastoma treated with XRT and PRT between 1997 and 2016. All patients received CSI and had routine endocrine screening labs to evaluate for thyroid dysfunction, GHD, and AI. We used proportional hazards regression to calculate hazard ratios (HR) and 95% confidence intervals (CI) comparing the development of hypothyroidism, AI, and GHD between radiation modalities, adjusting for age at diagnosis, sex, race/ethnicity, and CSI dose.Results: We identified 118 patients with medulloblastoma who were followed for a median of 5.6 years from the end of radiotherapy. Thirty-five (31%) patients developed hypothyroidism, 71 (66%) GHD, and 20 (18%) AI. Compared to PRT, XRT was associated with a higher incidence of primary (28% vs. 6%; HR=4.61, 95% CI 1.2-17.7, p=0.03) and central hypothyroidism (33% vs. 9%; HR 2.35 (0.8-6.8, p=0.12). GHD and AI incidence rates were similar between the groups. Conclusions: Primary and central hypothyroidism occur less often after PRT CSI, compared to XRT CSI. This suggests that the thyroid and pituitary glands receive less radiation after spine and posterior fossa boost RT, respectively, using PRT.
Identification of Genetic Variants Regulating the Abundance of Clinically Relevant Plasma Proteins using the Diversity Outbred Mouse Model
Authors: Philtjens Stéphanie , Acri Dominic J. , Kim Byungwook , Kim Hyewon , Kim Jungsu 
Published: February 2021

Abstract
Background: Levels of plasma proteins are under control of environmental and genetic factors. To use plasma proteins in biomarker studies, we need to understand how genetic modifiers influence their abundance. Although there has been expression quantitative trait loci (eQTL) studies on a few limited numbers of proteins, the effect of genetic variants on the levels of multiple plasma proteins still warrants more systematic investigation.Results: To identify genetic modifiers that influence the levels of clinically relevant plasma proteins, we performed protein quantitative trait locus (pQTL) mapping on the 92 proteins present in the Olink Mouse Exploratory Panel using the Diversity Outbred (DO) mouse population. We identified 12 significant pQTL that were located in cis and 6 that were in trans. Among them, we discovered that the presence of coding variants in the gene encoding for the Aryl Hydrocarbon Receptor (Ahr) had a significant effect on its abundance in plasma. Most interestingly, we identified variants in the Regulatory Factor X1 (Rfx1) gene that influence the abundance of the IL-17A protein in plasma.Conclusion: Our study reports an innovative pipeline for the identification of genetic modifiers that may be targeted for drug development.
Plasma Cell-free circRNAs&nbsp;Panel Act as Fingerprint Predicts the Occurrence of Laryngeal Squamous Cell Carcinoma
Authors: Han Jiahui , Lin Qiuhong , Dong Chunguang 
Published: February 2021

Abstract
Background: Circular RNAs (circRNAs) have recently emerged as a new class of RNAs, highly enriched in the human tissues and very stable within cells, exosomes and body fluids. In this study, we aimed to screen the plasma cell-free derived circRNAs in laryngeal squamous cell carcinoma (LSCC) and investigate whether these circRNAs could predicted LSCC as potential biomarkers. Methods: The circRNA microarray was employed with three samples in each group to screen the dysregulated circRNAs isolated from plasma samples. The top 20 circRNAs were first selected as candidates with the upregulated level in the plasma of LSCC. Results: Further validation found that only circ_0019201, circ_0011773 and circ_0122790 was consistent with training set. The ROC curve also revealed a high diagnostic ability an area under ROC curve value (AUC) for single circRNA and combined. The AUC for circ_0019201, circ_0011773 and circ_0122790 and the combined was 0.933, 0.908, 0.965 and 0.990 in training set. For the validation set, the AUC was 0.766, 0.864, 0.908 and 0.951. The three circRNAs were further investigated with stable expression in human plasma samples. Conclusions: The plasma derived circ_0019201, circ_0011773 and circ_0122790 might be the potential biomarker for predicting the LSCC.
The Role of Third Trimester Oxytocin Level in Predicting Postpartum Depression Symptoms among Jordanian Mothers.
Authors: RAWASHDEH Hasan , ALALWANI Zahra , SINDIANI Amer , ALODETALAH Rana , ALQUDAH Mohammad 
Published: February 2021

Abstract
Background: About one in five women suffer from postpartum depression, placing it the leading complication during childbirth. Oxytocin has been suggested to play a key role in modulating maternal behaviour and stress-related disorders. However, there is little evidence to support its role in predicting postpartum depression. Our aim is to investigate the relationship between serum oxytocin level in the third trimester and early-onset postpartum depression symptoms and whether oxytocin is capable of predicting postpartum depression symptoms.Methods: A total of 172 healthy pregnant women participated in this cross-sectional descriptive study. The serum oxytocin level was measured between 34 and 37 weeks. A validated Edinburgh Postnatal Depression Scale (EPDS) was used to assess symptoms of depression four to six weeks postpartum. Participants with EPDS scores of 13 or more were considered having depressive symptoms. SPSS version 23 was used for data analysis. Descriptive statistics were provided. Independent sample t-test and Pearson r were used to examine differences in depression scores between selected demographic, psychosocial, and clinical variables. The level of significance for all analyses was set at α=0.05.Results: 8% of participants have scored 13 or above at the EPDS. Pearson r indicated that there was no correlation between EPDS scores and oxytocin level r(170)=0.10, p=0.23. Furthermore, there was no correlation between EPDS scores and oxytocin level among women with a lifetime history of depression, r(43)= - 0.13, p=0.37. Independent t-test has shown that participants with low education, low income, previous history of depression, positive family history of depression, positive family issues and absent emotional family support have scored significantly higher on EPDS scores than their counterparts. The association with a previous lifetime history of depression was noticeable t(170)= - 4.40, p<0.001.Conclusions: There was no relation between late antenatal third trimester serum oxytocin level and early onset postpartum depression symptoms. Third trimester serum oxytocin level alone was not capable of predicting early onset postpartum depression.
Exploring the role of eudemonic wellbeing in motivating health behavior: A brief experimental study
Authors: Marrero Abrania , Wyland Carrie L. , Wilson Mark J. 
Published: February 2021

Abstract
Promoting eudemonic psychological wellbeing, including purpose in life and environmental mastery, may motivate positive health behaviors. However, experimental studies exploring cognitive aspects of wellbeing and health behavior are lacking. This study employed a 2x2 between-subjects factorial design to assess the effects of eliciting a brief saliency in purpose and mastery on anticipated health behavior. A total of 102 participants were randomly assigned to guided visualization tasks on purpose, mastery, both, or a control condition. Dependent measures included a health motivations questionnaire and a food preference task. A principal component factor analysis identified three factors on the questionnaire, and a significant main effect of purpose on the factor ‘socially-derived health values’ was found. No effects of mastery, nor any effects on the preference task, were detected. While longer-term intervention research is needed, this study provides limited evidence that eliciting a sense of purpose, even briefly, can motivate an increase in the perceived value of health behaviors.
High-Performance Tunable Multichannel Absorbers Couple with Graphene-Based Grating and Dual-Tamm Plasmonic&nbsp;Multilayer Structures
Authors: Hu Jinlei , Hu Zheng-Da , Wang Jicheng , Balmakou Aliaksei , Khakhomov Sergei , Semchenko Igor 
Published: February 2021

Abstract
We present a tunable multichannel absorbers in a hybird optical Tamm system at near-infrared frequencies. The simulation results reveal the structure capable of exciting four perfect absorption peaks, which are generated by two types of resonance, namely a guide-mode resonance (GMR) in a graphene-based grating and optical resonance induced by Tamm states in metal-photonic crystal heterostructure-metal (M-PCH-M) composites based on transfer matrix theory (TMT). The numerical and theoretical studies show that the strong coupling between the two modes gives rise to mode hybridization by adjusting the grating period. Coupled mode theory (CMT) has been employed to explain the strong coupling phenomenon. Furthermore, the active modulation of the GMR-based peak can be manipulated discretely by tuning the polarization angle or continuously by changing the chemical potential of graphene. The presented optical absorption filter is going to satisfy high level of effectiveness when developing perspective high-performance optoelectronic devices including modulators, switches, solar cells, thermal radiation and wave filters.
Evaluation of Sirt1 And Foxo’s In Primary Tumor And Distant Organ Metastasis Invaded By Benign And Highly Metastatic Breast Carcinoma Cells Under In&nbsp;Vitro And In Vivo Conditions.
Authors: Dilmac Sayra , Kuscu Nilay , Caner Ayse , Yildirim Sendegul , Yoldas Burcak , Tanriover Gamze 
Published: February 2021

Abstract
Breast cancer is the second most common cancer in women. In malignant breast cancers, tumor cells have the potential to metastasize to distant organs through the lymphatic system and blood circulation. The aim of this study is to evaluate the expression of SIRT1 and FoxO proteins in metastatic and nonmetastatic breast cancer cells and distant organs metastasis. In our study, SIRT1, p53, p21, and FoxO proteins have been evaluated in metastatic 4TLM and non-metastatic 67NR cell lines by immunocytochemistry in vitro and also in mice breast cancer model in vivo. Cells were orthotopically injected to mammary fat pads of 8-10 weeks old Balb/c female mice. Primary tumor, lung and liver tissues were removed and expressions of these proteins were evaluated by immunohistochemistry, western blot and RT-PCR. In addition, signal pathways that are related to SIRT and FoxO proteins were examined by using IPA core analysis. TCGA database was browsed for investigation of different genes.In primary tumors, SIRT1, p21, p53, E2F1 and FoxO expressions were higher in 67NR compared to 4TLM. In metastatic lung and liver tissues, the expression levels of SIRT1, FoxO1, FoxO3a and FoxO4 proteins were increased in 4TLM compared to 67NR. IPA and TCGA analysis have also revealed that SIRT1 and FoxO proteins are lower in primary tumors, but increased in metastatic stages. In conclusion, in primary tumors SIRT1 and FoxO expressions were decreased in 4TLM compared to 67NR. Moreover, SIRT1 and FoxO, especially expressed in metastatic cells. High level of FoxO expressions in metastatic stages in TNBC patients also supports its association with metastasis. Our findings suggest that SIRT1 and FoxO’s have crucial role in tumor progression metastatic process in breast cancer.
Medication Overuse Headache in Chronic Migraine Patients Using Cannabis: A Case-Referent Study
Authors: Zhang Niushen , Woldeamanuel Yohannes W 
Published: February 2021

Abstract
Objective: To examine whether cannabis use predicts medication overuse headache (MOH) in chronic migraine (CM) patients. Methods: Electronic chart review was conducted by combining the terms “chronic migraine”, “medication overuse”, “cannabis”, “CBD”, “THC” for patients seen at our headache clinics from 2015 to 2019. Of 729 charts identified, 368 (150 using cannabis; 218 not using cannabis) met our inclusion criteria, i.e., adult CM patients with ≥ 1-year CM duration. The following variables were extracted from each patient’s chart: MOH diagnosis as dependent variable, and predictor variables as age, sex, migraine frequency, current CM duration, current cannabis use duration, overused acute migraine medications, current MOH duration, and types of cannabis products used. Logistic regression was employed to identify variables predicting MOH while controlling for remaining predictors. Agglomerative hierarchical clustering (AHC) was conducted to explore natural clusters using all predictor variables. Results: There were 212 CM patients with MOH ( cases ) and 156 CM patients without MOH ( referents ). Current cannabis use statistically significantly predicted cases with MOH – odds ratio 6.0 (3.45, 10.43), p < 0.0001. Current cannabis use, opioid use, and MOH were significantly associated. AHC revealed two major natural clusters. Cluster I patients were younger with less migraine frequency, higher MOH burden, more current cannabis and opioid users than cluster II. Conclusion: Cannabis use significantly contributes to the prevalence of MOH in CM. Bidirectional cannabis-opioid association was observed – use of one increased use of the other. Advising CM patients with MOH to reduce cannabis use may help treat MOH effectively.
Landslide susceptibility mapping based on convolutional neural network and conventional machine learning methods
Authors: Liu Rui , Yang Xin , Xu Chong , Li Luyao , Zeng Xiangqiang 
Published: February 2021

Abstract
Landslide susceptibility mapping (LSM) is a useful tool to estimate the probability of landslide occurrence, providing a scientific basis for natural hazards prevention, land use planning, and economic development in landslide-prone areas. To date, a large number of machine learning methods have been applied to LSM, and recently the advanced Convolutional Neural Network (CNN) has been gradually adopted to enhance the prediction accuracy of LSM. The objective of this study is to introduce a CNN based model in LSM and systematically compare its overall performance with the conventional machine learning models of random forest, logistic regression, and support vector machine. Herein, we selected the Jiuzhaigou region in Sichuan Province, China as the study area. A total number of 710 landslides and 12 predisposing factors were stacked to form spatial datasets for LSM. The ROC analysis and several statistical metrics, such as accuracy, root mean square error (RMSE), Kappa coefficient, sensitivity, and specificity were used to evaluate the performance of the models in the training and validation datasets. Finally, the trained models were calculated and the landslide susceptibility zones were mapped. Results suggest that both CNN and conventional machine-learning based models have a satisfactory performance (AUC: 85.72% − 90.17%). The CNN based model exhibits excellent good-of-fit and prediction capability, and achieves the highest performance (AUC: 90.17%) but also significantly reduces the salt-of-pepper effect, which indicates its great potential of application to LSM.
Investigation of the origin and genetic diversity of wild boars in Northeast Asia via mitochondrial D-loop markers
Authors: Jianing Li , Daxin Pang , Hao Yu , Lin Zhou , Wentao Wang , Boyan Zhang , Hongsheng Ouyang , Yaping Tian 
Published: February 2021

Abstract
Background

Northeast Asia is one of the most important wild boar resources habitats in China. The origin and genetic diversity of wild boars in this region are not currently clear.
Results

In this study, we determined the mtDNA D-loop sequences of 23 wild boars from Northeast Asia and analysed the sequences of 480 Eurasian wild boars available from NCBI. The Eurasian wild boar sequence pool included a total of 21 D-loop haplotypes, among which 27 SNPs were distributed. The phylogenetic tree showed that Eurasian wild boars could be divided into two major groups: Northeast Asian wild boars were mainly concentrated in group A, dominated by East Asian wild boars, while group B consisted of West Asian and European wild boars. Haplotypes 2, 11, 13, and 14 of group A in Southeast China shared position 120C with the outgroup, indicating that they might represent the ancestral group of wild boars. The observed geographical distribution and haplotype heat maps further showed that all the Eurasian wild boars were separately distributed and differentiated from native-born boars in Southeast China. Similarly, Northeast Asian wild boars belonged to one of the branches.
Conclusions

Taken together, the results show that Heilongjiang Province exhibits higher wild boar diversity than Jilin, Liaoning, Inner Mongolia and South Korea and is likely to be the distribution centre in Northeast Asia.