bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electromagnetic Wave Absorption of Periodic Cylindrical Structured Gypsum Composites Incorporate With Different Carbonaceous Materials
Authors: Xie Shuai , Zhang Yuan , Ji Zhijiang , Wang Jing 
Published: February 2021

Abstract
In order to improve the impedance matching condition and broaden the effective absorbing bandwidth, a series of cylindrical periodic structured gypsum composites with different kinds of carbonaceous materials as absorbents were fabricated by two-step moulding process. The influences of the mass fraction of helical carbon fiber (HCF), carbon nanotube (CNT), and graphene (GE) on the morphology, permittivity, resistivity, and electromagnetic (EM) wave absorbing properties of the proposed gypsum composites were investigated. The experimental results show that the composite with 2 wt.% HCF exhibits optimum EM wave absorption performance, its reflection loss is lower than -10 dB in 2-18 GHz and bandwidth thickness ratio coefficient reaches 0.8 GHz/mm. The EM wave absorption mechanisms were further explained by the simulation of EM field and power loss distribution. The dielectric loss of carbonaceous absorbents, the destructive interference, and the EM wave diffraction and multiple refractions caused by the periodic cylindrical arrays are the main EM wave attenuation mechanisms of the fabricated composites. This study could provide guidance for the design of broadband EM wave absorbing materials.
First description of Protoparvovirus in surface water and human Adenovirus in green leafy vegetable, Environmental Education Center - Southern Brazil
Authors: Gartner Leila Elisa , Demoliner Meriane , Girardi Viviane , Oliveira Kelen Gras de , Souza Fernanda Gil de , Henzel Andréia 
Published: February 2021

Abstract
This study analyses the presence of coliforms, Mastadenovirus (AdV) and Canine protoparvovirus (CPV) in an Environmental Education Center (EEC), which includes a city kennel in Southern Brazil, in October 2017 and February 2018. In both collections were analyzed surface water at AdV (human and canine species), CPV, total (TC) and fecal coliforms (FC) presence; lettuce at AdV; and dogs stool at canine AdV (CAV) and CPV. In total, 67 samples were analyzed: 33 dog stool samples; 10 points of surface water and 24 fractions (root, stem and leaves) originated of eight lettuce. Coliforms and viral analyses were performed by Colilert and PCR assays, respectively. Amplicon was sequenced, and species/types of virus were characterized. TC and FC were detected in all surface water in at least one of the collections. Occurrence of viruses was of the 34.3% (23/67) in all samples. HAdV-C was observed in 13% [2/23] (water sample); HAdV-E in 8,7% (2/23) – water and lettuce; CAV-1 in 13% (3/23) – two stool samples and one water sample; and CPV-2a in 56.5% (13/23) – dog stools. Raccoon CPV-like and AdV (not characterized) were detected in one surface water sample and one dog stool sample, respectively. As far as we know, this is the first molecular characterization of the presence of one wildlife animal Protoparvovirus in water and AdV in lettuce reported in Brazil. Detection of HAdV-E in lettuce confirmed the role of vegetables as a potential vehicle of human food-borne viral diseases. Nonetheless, more studies are needed about Raccoon CPV-like to elucidate the potential transmission and threat of this virus in wildlife and interspecies (wild and domestic).
A knowledge-driven Multi-Criteria Decision Making- Analytical Hierarchy Process based Geospatial Modeling for the Delineation of Fluoride Contamination Zones in Groundwater, Jamui District, Indo-Gangetic Alluvial Plains, India
Authors: Kumar Suresh , Singha Sudhakar , Singh Rambabu , Akella Venkatesh Satya , Gogoi Utpal 
Published: February 2021

Abstract
This study presents a framework to delineate the potential fluoride contamination zones within the groundwater of the study area by employing GIS coupled with Multi-Criteria Decision Making-Analytical Hierarchy Process approach (MCDM-AHP). In this context, various groundwater contamination controlling hydrogeo-meteorological factors thematic layers were prepared in the GIS environment and assigned with an appropriate rating and weights. All the selected influencing factors were overlaid using a weighted overlaid index approach after normalizing the weights and ratings of the respective layers using the AHP technique and then computed the fluoride contamination zones (FCZs). The obtained results indicate that 61.50% (1101.82 km2) of the total study area was delineated as a relatively safe zone (F < 1.5 mg/L) and the remaining 38.50% (689.18 km2) was demarcated under the unsafe zone (F > 1.5 mg/L). The proposed FCZs model corroborates a significant agreement of 85% with the 61 observed locations and thus testify to the model reliability.
Uncovering the Phytochemicals of Root Exudates and Extracts of Lead (Pb) Hyperaccumulator Vetiveria Zizanioides (L.) in Response to Lead Contamination and their Effect on the Chemotactic Behaviour of Rhizospheric Bacteria
Authors: Kushwaha Anamika , Hans Nidhi , Giri Balendu Shekher , Rene Eldon R. , Rani Radha 
Published: February 2021

Abstract
Chemical composition of root exudates and root extracts from V. zizanioides cv KS-1 was determined, in the presence of lead [Pb(II)]. Hitherto, no information is available in the literature concerning the phytochemical components of root exudates of Vetiver zizanioides. Significantly higher concentrations of total carbohydrates (26.75 and 42.62% in root exudates and root extract, respectively), reducing sugars (21.46 and 56.11% in root exudates and root extract, respectively), total proteins (9.22 and 23.70% in root exudates and root extract, respectively), total phenolic acids (14.69 and 8.33% in root exudates and root extract, respectively), total flavonoids (14.30 and 12.28% in root exudates and root extract, respectively) and total alkaloids (12.48 and 7.96% in root exudates and root extract, respectively) were observed in samples from plants growing under Pb(II) stress in comparison to the respective controls. GC-MS profiling showed the presence of diverse group of compounds in root exudates and extracts including terpenes, alkaloids, flavonoids, carotenoids, plant hormones, carboxylic/organic acids and fatty acids. Among the detected compounds, many have important role in plant development, regulating rhizosphere microbiota, and allelopathy. Furthermore, the results indicated that V. zizanioides exudates possess a chemotactic response for rhizospheric bacterial strains Bacillus licheniformis, Bacillus subtilis and Acinetobacter junii Pb1.
Genotoxic and antigenotoxic potential of the Lagenandra toxicaria Dalz. rhizome methanol extract using Allium cepa assay.
Authors: B AKARSHA , GULIMANE KRISHNAKUMAR 
Published: February 2021

Abstract
This study is the first ever approach to evaluate the possible genotoxic effect of the Lagenandra toxicaria rhizome methanol extract and its antigenotoxic potency against 3% H2O2 induced genetic damage on Allium cepa root tip model. The assay revealed a significant decrease in mitotic index (MI) and an increase in the percentage of clastogenicity in a time and dose-dependent manner in the roots exposed to Lagenandra toxicaria extract at 0.2 mg/ml, 0.5 mg/ml, 1 mg/ml, 5 mg/ml and 10 mg/ml concentration for 1, 2 and 4hour. The ultra structures of cell surface and biochemical changes of the cells were assessed in four hour treated roots using Field emission scanning electron microscopy (FESEM) and Fourier-transform infrared spectroscopy (FTIR). The higher dose of 10 mg/ml treated roots showed an evident morphological as well as biochemical changes compared to the control. The agarose gel electrophoresis showed the loss of DNA integrity in the roots that were treated with 10 mg/ml extract for four hours, where as the control showed comparatively intact DNA bands. The in situ histochemical staining by Schiff’s reagent and nitroblueterasolium (NBT) confirmed the increased lipid peroxidation and free radical generation in four hour treated samples. Subsequently, the possible antigenotoxic potential of the plant extract was explored at its lower doses using H2O2 standard assays. The H2O2 treatment induced nuclear lesions in 93.45 ± 2.33% cells and it was seen to be reduced significantly (50.99 ±7.59 % and 37.13 ± 2.66 %) after the treatment with lower concentration of 0.01 mg/ml and 0.02 mg/ml extract respectively. This suggest that the Lagenandra toxicaria rhizome methanol extract acts as antigenotoxic agent at lower doses but at higher doses the extract induces clastogenic effects and thus acts like a janus-faced compound.
A Machine Learning Challenge for Prognostic Modelling in Head and Neck Cancer Using Multi-modal Data
Authors: Haibe-Kains Benjamin , Kazmierski Michal , Welch Mattea , Kim Sejin , McIntosh Chris , Rey-McIntyre Katrina , Huang Shao Hui , Patel Tirth , Tadic Tony , Milosevic Michael , Liu Fei-Fei , Hope Andrew , Bratman Scott 
Published: February 2021

Abstract
Accurate prognosis for an individual patient is a key component of precision oncology. Recent advances in machine learning have enabled the development of models using a wider range of data, including imaging. Radiomics aims to extract quantitative predictive and prognostic biomarkers from routine medical imaging, but evidence for computed tomography radiomics for prognosis remains inconclusive. We have conducted an institutional machine learning challenge to develop an accurate model for overall survival prediction in head and neck cancer using clinical data etxracted from electronic medical records and pre-treatment radiological images, as well as to evaluate the true added benefit of radiomics for head and neck cancer prognosis. Using a large, retrospective dataset of 2,552 patients and a rigorous evaluation framework, we compared 12 different submissions using imaging and clinical data, separately or in combination. The winning approach used non-linear, multitask learning on clinical data and tumour volume, achieving high prognostic accuracy for 2-year and lifetime survival prediction and outperforming models relying on clinical data only, engineered radiomics and deep learning. Combining all submissions in an ensemble model resulted in improved accuracy, with the highest gain from a image-based deep learning model. Our results show the potential of machine learning and simple, informative prognostic factors in combination with large datasets as a tool to guide personalized cancer care.
Complete genome sequence of a clinical isolate of Clostridioides difficile bacteriophage phiCDKH01 of the family Siphoviridae
Authors: Hinc Krzysztof , Kabała Monika , Iwanicki Adam , Martirosian Gajane , Negri Alessandro , Obuchowski Michał 
Published: February 2021

Abstract
A new temperate phiCDKH01 siphophage was obtained from clinical isolate of Clostridioides difficile. The phage genome is a 45,089 bp linear double-stranded DNA molecule with an average G + C content of 28.7%. It shows low similarity to known phage genomes except for phiCD24-1. Genomic and phylogenetic analysis revealed that phiCDKH01 is a novel phage. 66 putative ORFs were predicted in the genome, 37 of which code for proteins with predicted functions. The phiCDKH01 prophage has been localized in the host genome. Results of this study increases genetic diversity of known tailed phages.
Linguistic Feature of Anorexia Nervosa: A Prospective Case-Control Pilot Study
Authors: Cuteri Vittoria , Minori Giulia , Gagliardi Gloria , Tamburini Fabio , Malaspina Elisabetta , Gualandi Paola , Rossi Francesca , Moscano Milena , Francia Valentina , Parmeggiani Antonia 
Published: February 2021

Abstract
Purpose: attention has recently been paid to Clinical Linguistics for the detection and support of clinical conditions. Many works have been published on the “linguistic profile” of various clinical populations, but very few papers have been devoted to linguistic changes in patients with eating disorders. Patients with Anorexia Nervosa (AN) share similar psychological features such as disturbances in self-perceived body image, inflexible and obsessive thinking and anxious or depressive traits. We hypothesize that these characteristics can result in altered linguistic patterns and be detected using the Natural Language Processing tools. Methods: we enrolled 51 young participants from December 2019 to February 2020 (age range: 14-18): 17 girls with a clinical diagnosis of AN, and 34 normal weighted peers, matched by gender, age and educational level. Participants in each group were asked to produce three written texts (around 10-15 lines long). A rich set of linguistic features was extracted from the text samples and the statistical significance in pinpointing the pathological process was measured.Results: comparison between the two groups showed several linguistics indexes as statistically significant, with syntactic reduction as the most relevant trait of AN productions. Conclusion: these preliminary data showed the existence of linguistic parameters as probable linguistic markers of AN. However, the analysis of a bigger cohort, still ongoing, is needed to consolidate this assumption.Level of evidence III: evidence obtained from case-control analytic studies.
Expression levels of caspase-3 and gasdermin E and their involvement in the occurrence and prognosis of lung cancer
Authors: huang yuanli , Zhang GuangHui , Zhu Qing , Wu Xia , Wu LIGao 
Published: February 2021

Abstract
Background

Pyroptosis plays a dual role in the development of cancer and malignancy, and as such, may potentially be a new target for cancer treatment. However, the inflammatory response to pyroptosis may have adverse effects on the body. The roles of gasdermin E (GSDME), caspases, and related proteins associated with pyroptosis in cancer remain controversial. This study aimed to explore whether the expression levels of caspase-3 and GSDME affect the clinical stage, pathological grade, and survival prognosis of patients with lung cancer.
Methods

We examined the protein levels of GSDME, caspase-3, caspase-8, and caspase-9 in lung tissues from 100 patients with lung cancer by using immunohistochemistry.
Results

We found that GSDME, caspase-3, and caspase-8 were more highly expressed in the tumor tissues than in the adjacent normal tissues. Moreover, we found that GSDME could serve as a prognostic factor because there was a positive correlation between its expression level and the postoperative survival rate of patients with lung cancer.
Conclusions

GSDME may be an independent factor affecting the prognosis of patients with lung cancer. However, the role of GSDME and its related proteins in cancer requires further research.
Associations of Dietary Exposure to Organochlorine Pesticides from Plant-origin Foods with Lipid Metabolism and Inflammation in Childbearing-age Women: A Multiple Follow-up Study in North China
Authors: Wang Xuepeng , Gao Miaomiao , Tan Yixi , Li Qi , Chen Junxi , Lan Changxin , Jiangtulu Bahabieke , Wang Bin , Yu Yanxin , Li Zhiwen 
Published: February 2021

Abstract
Background

Potential links between population exposure to organochlorine pesticides (OCPs) and their impact on human health are under discussion. The current study explored the effects of population OCP intake from plant-origin food consumption on lipid metabolism and inflammation using a multiple follow-up study.
Methods

A total of 10 childbearing-age women (five in urban areas and five in rural areas) in northern China were recruited and visited for five times. During each visit, we conducted a questionnaire survey, blood collection, and food sampling. The levels of OCPs in cereals, fruits, and vegetables were measured, and nutrient content information was obtained from a national monitoring program. We calculated the women’s dietary intakes of OCPs and nutrients. Serum biomarkers of lipids [triglycerides, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol (HDL), and lipoprotein(a)], monocyte chemotactic protein-1, interleukin (IL)-6, and IL-8 were measured. Linear mixed-effect models were used to evaluate the associations of dietary OCP and nutrient intake with serum biomarkers.
Results

The dietary intake of p,p′-dichlorodiphenyltrichloroethane (DDT) [β = -10.11, 95% confidence interval (95%CI): -17.32, -2.905] and o,p′-dichlorodiphenyldichloroethylene (DDE) (β = -6.077, 95%CI: -9.954, -2.200) were overall negatively associated with serum HDL, whereas other OCPs were not. IL-8 was positively associated with intake of dieldrin (β = 0.390, 95% CI: 0.105, 0.674), endosulfan-β (β = 0.361, 95%CI: 0.198, 0.523), total endosulfan (β = 0.136, 95%CI: 0.037, 0.234), and total OCPs (β = 0.084, 95%CI: 0.016, 0.153), and negatively correlated with intake of p,p′-DDE (β = -2.692, 95%CI: -5.185, -0.198). No associations between dietary nutrient intake and serum biomarkers were observed.
Conclusions

We concluded that dietary intake of some individual DDT-, DDE- dieldrin-, and endosulfan-class chemicals from plant-origin foods may interfere with lipid metabolism and inflammation responses.
Ability of Non-Invasive Tear Break-Up Time to Determine Tear Instability in Contact Lens Wearers
Authors: Muhafiz Ersin , Demir Mehmet Siraç 
Published: February 2021

Abstract
Purpose To evaluate the performance of precorneal and prelens non-invasive tear break-up time (NIBUT) measurements to determine tear instability in contact lens (CL) wearers.Methods In this study 50 eyes of CL wearers were evaluated. Precorneal first and average NIBUTs and fluorescein tear break-up time (FBUT) were measured before wearing CLs in the morning. Those with FBUT less than 10 seconds were considered to have tear instability. After wearing CL, first and average prelens NIBUTs were measured at the 30th minute. The receiver operating characteristic (ROC) curve was analyzed to evaluate the performance of NIBUT measurements in the diagnosis of tear instability.Results The FBUT value had a significant correlation with first and average precorneal NIBUT values (p < 0.001, r = 0.653 and p < 0.001, r = 0.628,respectively). The FBUT value had no correlation with the prelens first and average NIBUT values (p = 0.542 and p = 0.263,respectively). To understand the relationship between the precorneal and prelens NIBUT values measured by the automated method, their correlation was evaluated. There was no significant correlation between the precorneal and prelens NIBUTs (for all;p > 0.05).The area under curve (AUC) in ROC curve for the first and average precorneal NIBUTs were 0.842 (p<0.001) and 0.810 (p<0.001), respectively. The AUC values for the first and average prelens NIBUTs at the 30th minute of CL wear were 0.586 and 0.619 respectively (p=0.317 and p=0.166, respectively). Conclusions: Precorneal NIBUT measurements may be useful in diagnosing tear instability in CL wearers. Prelens NIBUT values are not yet capable of adequately defining the tear film dynamics.
Optimization Model Based on Multivariable Grey Model and Its Application to Energy Consumption in China
Authors: Xu Kai , Luo Xilin , Pang Xinyu 
Published: February 2021

Abstract
Currently, the energy development in China is in a critical period of transformation and reform, facing unprecedented opportunities and challenges. Accurate energy consumption forecast is conducive to promoting the diversification of energy development and utilization, and ensuring the healthy and rapid development of China's economy. Based on the existing multivariable grey prediction model, a nonlinear multivariable grey prediction model with parameter optimization is established in this paper, which used the genetic algorithms to find the optimal parameters, and the modelling steps are obtained. Then, the novel model takes the oil natural gas, coal and clean energy in China as the research objects, and the results are compared with the other four grey prediction models. The novel model has higher simulation and prediction accuracy, which is better than the other four grey prediction models. Finally, the novel model is used to predict those four energy consumption forecasts in China from 2020 to 2024. The results show that various energy consumption will further increase, while the fastest growing is clean energy and natural gas, which provides effective information for the Chinese government to formulate energy economic policies.
Effects of domestic solid fuel combustion emissions on the biomarkers of homemakers in rural areas of the Fenwei Plain, China
Authors: Feng Rong , Xu Hongmei , He Kailai , Wang Zexuan , Han Bei , Lei Ronghui , Ho Kin Fai , Niu Xinyi , Sun Jian , Zhang Bin , Liu Pingping , Shen Zhenxing 
Published: February 2021

Abstract
Background

The health effects of heavy solid fuel use in winter in rural China are of concern. The effects of air pollution resulting from domestic solid fuel combustion in rural households on rural homemakers’ biomarkers were revealed in this study.
Methods

In total, 75 female homemakers from rural areas of Guanzhong Basin, the Fenwei Plain, People’s Republic of China, were randomly selected and divided into three groups (biomass users, coal users, and nonusers of solid fuel user [control group]). The differences in biological indicators, including 8-hydrox-2’-deoxyguanosine (8-OHdG), interlukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) in urine samples as well as blood pressure (BP, including systolic BP [SBP] and diastolic BP [DBP]) and heart rate (HR) among the groups in winter and summer were investigated using statistical analysis.
Results

IL-6, 8-OHdG, HR, SBP, and DBP were significantly higher in winter than in summer (P < 0.05) owing to the poor air quality resulted from the excessive use of solid fuels in winter. Significant seasonal differences in 8-OHdG, HR, and SBP were observed for both coal and biomass users. After the influence of confounders was removed, only IL-6 levels in the urine of solid fuel users were significantly higher than that of the control group.
Conclusions

IL-6 is a sensitive biomarker representing inflammatory responses to particulate matter emitted through household solid fuel combustion. Locally, excessive use of solid fuels in winter posed serious PM2.5 pollution in this area and adverse effects on inflammatory biomarkers in these rural homemakers and induced DNA damage related to oxidative stress.
Care for Caregivers- A Mission for Primary Care&nbsp;
Authors: Biderman Aya , Carmel Sara , Amar Shimon , Bachner Yaacov G. 
Published: February 2021

Abstract
Background. The number of elderly people living in the community who are limited in daily activities is increasing worldwide. This generates prolonged care, which usually falls on one family member, the family caregiver. Caregivers sometimes develop psychosocial and physical symptoms. As a result, the World Health Organization (WHO) issued a clear directive to assess and support these caregivers. The present study focuses on providing preventive solutions by primary care physicians (PCP) to caregivers. Methods. Data were collected from a convenience sample of 201 PCP interviewed with specifically structured questionnaires. Results. The participants’ mean age was 48.5±11.2 years and 53.5% were female. Only 48.5% were Israel medical graduates and 72% were board-certified family physicians. Nearly 34% had formally been primary caregivers of family members. Most physicians (83.6%) were aware of the primary caregiver's high-risk for morbidity and mortality, and recommended preventive care. On a multivariate regression, awareness of the risk, country of medical school and board certification were considered to be of great significance in relation to providing preventive care. However, being a primary caregiver for a sick family member neither contributed significantly to the doctors’ awareness to caregiving risks nor to their preventive care.Conclusion. Although a high percentage of physicians were aware and concerned about caregivers’ welfare, their preventive care activities were relatively passive. PCPs should take a more active and preventive role.