bluuebunny/crossref_metadata_2025_split huggingface dataset:
New insight into long non-coding RNAs associated with bone metastasis of breast cancer based on an integrated analysis
Authors: zhang Yu , Huang Xiaofeng , Liu Jin , Chen Guo , Liu Chengjun , Zhang Sen , Li Jiaxin 
Published: April 2021

Abstract
Background
Bone is the most common site of metastatic breast cancer, and it is a leading cause of breast cancer-related death. This study aimed to explore bone metastasis-related long non-coding RNAs (lncRNAs) in breast cancer.
Methods
Four mRNA datasets and two lncRNA datasets of bone metastasis, lung metastasis and liver metastasis of breast cancer were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed mRNAs (DEmRNAs) and lncRNAs (DElncRNAs) in group of bone metastasis vs lung metastasis and bone metastasis vs liver metastasis, as well as the overlap of the two groups, were identified. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and protein-protein interaction (PPI) network construction of DEmRNAs were conducted. The cis nearby-targeted DEmRNAs of DElncRNAs were obtained. Quantitative real-time polymerase chain reactions (qRT-PCR) was used to detect the expression levels of selected DEmRNAs and DElncRNAs. LOC641518- lymphoid enhancer-binding factor 1 (LEF1) pair was selected to verify its role in migration and invasion capability of breast cancer cells by wounding healing assay and transwell invasion assay.
Results
A total of 237 DEmRNAs were obtained in bone metastasis compared with both lung metastasis and liver metastasis. A total of 3 DElncRNAs in bone metastasis compared with both lung metastasis and liver metastasis were obtained. A total of 7 DElncRNA-nearby-targeted DEmRNA pairs and 15 DElncRNA-nearby-targeted DEmRNA pairs in group of bone metastasis vs lung metastasis and bone metastasis vs liver metastasis, were detected, respectively. Four cis LncRNA-mRNA interaction pairs were identified, which are LOC641518-LEF1, FLJ35024-Very Low Density Lipoprotein Receptor (VLDLR), LOC285972-Retinoic Acid Receptor Responder 2 (RARRES2) and LOC254896- TNF receptor superfamily member 10c (TNFRSF10C). qRT-PCR using clinical samples from our hospital confirms the bioinformatics prediction. siRNA knocking down LOC641518 down-regulates LEF1 mRNA expression, and reduces the migration and invasion capability of breast cancer cells.
Conclusions
We concluded that four LncRNA-mRNA pairs, including LEF1-AS1-LEF1, may play a central role in breast cancer bone metastasis.
Quantum-Chemical Study of the Biogenic Amino Acids
Authors: Boča Roman , Vranovičová Beata 
Published: April 2021

Abstract
Ten amino acids have been subjected to the quantum chemical calculations using the ab initio MO-LCAO-SCF calculations and semiempirical PM3 method. When the geometry optimization started form the X-ray structure confirming the zwitterionic form, the ab initio calculations in vacuo result in the amino acid (canonical) form with the hydrogen atom attached not to the amine but to the carboxylate group. At the optimum geometry a number of properties were evaluated: dipole moment, dipole polarizability, molecular surface, molecular volume, HOMO, LUMO, ionization energy and electron affinity using the ΔSCF approach and their values corrected for electron correlation by the 2 nd –order perturbation theory (MP2). In addition, the molecular electrostatic potential and the charge density have been drawn. These properties have been mutually correlated by employing the statistical multivariate methods: the cluster analysis, the probabilistic neural network classifier, the principal component analysis and the Pearson pair correlation.
Adaptation Potential of Farmers’ Own Risk Management Strategies in Smallholder Agriculture: Some Evidence from India
Authors: Birthal Pratap Singh , Hazrana Jaweriah , Negi Digvijay 
Published: April 2021

Abstract
Farmers in developing countries are more exposed to frequent climatic shocks, and they, in the absence of a well-functioning market for crop insurance, rely on their own risk management strategies to reduce adverse effects of climatic shocks on agricultural production. This study evaluates adaptation benefits of farmers’ own risk management strategies in Indian agriculture, and comes out four key highlights. One, farmers, based on their historical exposures to climatic shocks, resource endowments and access to information and credit, often use more than one risk management measure at a time. Two, all risk management strategies, including the mitigation, transfer and coping, contribute towards improving agricultural productivity and reducing downside risk exposure, but it is the risk mitigation strategy that is more efficient. Three, joint adoption of risk management strategies generates even larger adaptation benefits. Four, although joint adoption of these strategies is positively associated with farm size, with information and liquidity constraints relaxed probability of their joint adoption is likely to increase on smaller farms.
Clinical Analysis of Patients With New-Onset Untreated Systemic Lupus Erythematosus Complicated With Cytomegalovirus Infection Short Title: Untreated SLE With CMV Infection
Authors: Li Xin , Gao Shuang , Deng Xiao Li 
Published: April 2021

Abstract
We investigated the clinical characteristics and short-term prognosis of patients with new-onset, untreated systemic lupus erythematosus (SLE) complicated with active cytomegalovirus (CMV) infection. Of the 86 patients enrolled in this study, 60 had active CMV infection. The proportions of patients with fever (65.0% versus 38.5%, P = 0.041), hematologic system involvement (80.0% versus 57.7%, P = 0.032), kidney involvement (50.0% versus 26.9%, P = 0.047), anti-double-stranded-DNA antibody positivity (51.7% versus 26.9%, P = 0.034), and severe disease activity (SLEDAI-2000 ≥ 15 points; 58.3% versus 30.8%, P = 0.019) were significantly higher, whereas serum C3 complement levels (0.48 ± 0.22 versus 0.60 ± 0.25, P = 0.032) were significantly lower in the CMV+ group than in the CMV- group, respectively. Initial SLE treatment, clinical features, laboratory data, and SLE treatment did not differ at 3- and 6-month follow-ups. In patients with CMV+, there were no significant differences in clinical features, laboratory data, SLE treatment, and laboratory index at 3-month follow-up between patients with or without antiviral treatment. These findings provided important insights into the characteristics of new-onset SLE complicated with active CMV infection and showed that antiviral treatment may have affect short-term prognosis.
“How to Measure the Outcome in the Treatment of Vertebral Compression Fractures? A Systematic Literature Review of Highly Cited Level-I Studies.”
Authors: Häckel Sonja , Renggli Angela A. , Albers Christoph E. , Benneker Lorin M. , Deml Moritz C. , Bigdon Sebastian F. , Hoppe Sven 
Published: April 2021

Abstract
Background: The economic burden of vertebral compression fractures (VCF) caused by osteoporosis was estimated at 37 billion euros in the European Union in 2010. In addition, the incidence is expected to increase by 25% in 2025. The recommendations for the therapy of VCFs (conservative treatment versus cement augmentation procedures) are controversial, what could be partly explained by the lack of standardized outcomes for measuring the success of both treatments. Consensus on outcome parameters may improve the relevance of a study and for further comparisons in meta-analyses. The aim of this study was to analyze outcome measures from frequently cited randomized controlled trials (RCTs) about VCF treatments in order to provide guidance for future studies.
Material and Methods: We carried out a systematic search of all implemented databases from 1973 to 2019 using the Web of Science database. The terms "spine" and "random" were used for the search. We included: Level I RCTs, conservative treatment or cement augmentation of osteoporotic vertebral fractures, cited ≥ 50 times. The outcome parameters of each study were extracted and sorted according to the frequency of use.
Results: Nine studies met the inclusion criteria. In total, 23 different outcome parameters were used in the nine analyzed studies. Overall, the five most frequently used outcome parameters ( 4 times used) were the visual analogue scale (VAS) for pain (n = 9), European Quality of Life–5 Dimensions (EQ-5D; n = 4) and Roland–Morris Disability Questionnaire (RMDQ, n = 4).
Conclusion: With our study, we demonstrated that a large inconsistency exists between outcome measures in highly cited Level I studies of VCF treatment. Pain (VAS), followed by HrQoL (EQ-5D) and disability and function (RMDQ), opioid use, and radiological outcome (kyphotic angle, VBH, and new VCFs) were the most commonly used outcome parameters.
Ultra-wideband, Wide Angle, Asymmetric Transmission based Chiral Metasurface for C and X Band Applications
Authors: Bokhari Syed Hussain Ali , Cheema Hammad M. 
Published: April 2021

Abstract
A multi-layered chiral device manifesting asymmetric transmission (AT) facilitating one-way channeling of electromagnetic (EM) waves, based on the inherent polarization is presented. The designed metasurface depicts a high transmission contrast with an efficiency above 80% for an ultra-wide operational range of 6.3-12.3 GHz, constituting a fractional bandwidth of 64%. As an additional feature, the reported metasurface yields robustness against oblique incidences up to 45◦ while maintaining high transmission efficiency. This report also introduces a unique analogy of the AT based communication system with logic-gates by formulating its truth-table and logic circuit. Furthermore, new insights of AT magnitude’s dependence to oblique incidences are presented on the account of surface impedance mismatch due to TE and TM polarization with varying incidence angle. Moreover, avoidance of grating lobes and the associated transmission deterioration through utilization of electrically small periodic metasurface is presented. The results have been numerically and practically validated yielding state-of-the-art features. Operating within C and X band, the reported work is an ideal candidate for practical AT applications.
Manufacturing of high-precision surface micro-structures on stainless steel by ultrasonic impact peening
Authors: Zhao Xuesen , Zhao Dongxu , Hu Wangjie , Zhang Junjie , Wang Xiaohui , Zhang Jianguo , Sun Tao 
Published: April 2021

Abstract
Ultrasonic impact peening (UIP) is not only a mature technique of surface treatment, but also a promising method of surface texturing for promoting performance and functionalities of components and devices. In the present work, we demonstrate the feasibility of applying UIP in the manufacturing of high precision surface micro-structures on 316L stainless steel using a YG6 cemented carbide tool. Specifically, analytical investigation of the material deformation map under UIP is carried out, which is validated by corresponding finite element simulations based on a combined nonlinear isotropic/kinematic hardening model, as well as experiments performed on home-made UIP apparatus. Finally, surface micro-structures of aligned grooves with a depth of 2 µm and a periodicity of 240 µm are fabricated by using UIP, and are subsequently subjected to linear reciprocating ball-disk sliding tests. Corresponding experimental results show that the micro-structures fabricated by UIP possess comparable accuracy of groove morphology and frictional properties with that fabricated by using ultrasonic elliptical vibration cutting using a single crystal diamond tool. The present work sheds lights on the low-cost fabrication of high precision surface micro-structures on ferrous metals by mature UIP technique.
The Proteome Map and PeptideAtlas of a widely cultivated tropical water fish Labeo rohita: A resource for the Aquaculture Community
Authors: Nissa Mehar Un , Reddy Jaipal , Mukherjee Arijit , Pinto Nevil , Ghosh Biplab , Sun Zhi , Ghantasala Saicharan , Chetanya Chetanya , Shenoy Sanjyot , George Trinica , Moritz Robert , Goswami Mukunda , Srivast Sanjeeva 
Published: April 2021

Abstract
With the global consumption of fish outpacing population growth, aquaculture sector is facing challenges to address the rising demand of food and nutritional security. Integrative omics research provides a strong platform to understand the basic biology and translate this knowledge into sustainable solutions in tackling disease outbreak, increasing productivity thus ensuring food security. To further understand the complex biology of host-pathogen response and support the aquaculture effort, genome and proteome reference maps moving beyond simple sequence information of cultivated fish species will accelerate research and translation of quality products for food industries. Towards this end, we have performed an extensive proteomics-based investigation of Labeo rohita, one of the economically important fish species produced in world aquaculture. Deep proteomic profiling of 17 histologically normal tissues, plasma and embryo provided mass-spectrometric evidence for 6015 high confident canonical proteins at 1% false discovery rate. Tissue enriched expression of several biologically important proteins was validated using targeted proteomics with high quantitative accuracy. We characterised the global post translational modifications (PTMs) in terms of acetylation (n-terminus and lysine), methylation (n-terminus, lysine and arginine) and phosphorylation (serine, threonine and tyrosine) to present a comprehensive proteome resource. An interactive web-based portal was developed to support the Labeo rohita PeptideAtlas, (www.peptideatlas.org), a unique community resource for mass spectrometry-based peptide/protein evidence in fish. This draft proteome map of Labeo rohita would advance basic and applied research in aquaculture to meet the most critical challenge of providing food and nutritional security to an increasing world population.
Computerized Investigation of Real Tooth Contact Analysis of Face-milled Spiral Bevel Gears
Authors: Liu GuangLei , Yan Weidong , Liu Yao 
Published: April 2021

Abstract
Real tooth contact analysis of spiral bevel gears is based on the original tooth surface grids (OTSG) formed by coordinate measuring machine (CMM). Since the size of OTSG is smaller than the tooth surface, it is sometimes impossible to get full meshing information. Reverse engineering is a way to solve the problem. The basic idea is to expand OTSG to the tooth surface boundary by reversing the manufacturing parameters of the spiral bevel gear drive. Thus a generalized reversing objective is set up for both of the gear and the pinion, which is the summation of deviations of all nodes between OTSG and corresponding computational tooth surface grids (CTSG) expressed by manufacturing parameters. The gear manufacturing parameters are reversed by observing duplex method. The pinionmanufacturing parameters are reversed by attempting the meshing behavior taken as input to local synthesis with modified roll motion. The initial meshing behavior is approximately ascertained by discrete tooth contact analysis based on OTSG, and meshing behavior at the mean contact point is figured out by interpolation method for function of transmission errors and contact path. Having reversed the manufacturing parameters, OTSG is expanded to the tooth surface boundary and real tooth contact analysis is conducted. A zero bevel gear drive of an aviation engine was employed to demonstrate the validity of the proposed methodology. The proposed method makes the real tooth contact analysis practical and provides prospect to improve meshing behavior more precisely.
Incidence of Food Insecurity Risk Factors Within a Large, Obesogenic Regional Community: A Population-based Study
Authors: Ward Aletha , Mullens Amy , Rogers Cath , Gilmour John 
Published: April 2021

Abstract
Aim: This descriptive study examined the incidence of food insecurity indicators in a large regional community, in Queensland, Australia, where high rates of obesity and corresponding obesity-driven non-communicable diseases are present. The implications of food insecurity in a large regional community are due to findings within the literature that demonstrate an association between mild-to-moderate food insecurity and a higher incidence of overweight or obesity. This concept was termed the ‘food insecurity obesity paradox’ within the literature. Subject and Methods: Six key food insecurity risk factors were examined using chi-square analysis and odds ratio, including education level, unemployment, single-parent status, rental status, Indigenous heritage, and young people. Publicly available information from the Australian Bureau of Statistics was utilized for data analysis.Results: Analysis indicated that social inequity, associated with food insecurity may result in higher obesity levels within regional Australia. These findings were even more pronounced among females, young people, and Indigenous community members, who had a higher incidence of corresponding social and cultural determinants that influenced experience of food system inequity. Conclusion: The present study has indicated that high rates of obesity in ‘at risk’ communities, government policies designed to create social mobility to address social inequity, may be effective in decreasing obesity rates and the associated corresponding chronic disease burden.
From Machine Learning to Transfer Learning in Laser-Induced Breakdown Spectroscopy: the Case of Rock Analysis for Mars Exploration
Authors: Sun Chen , Xu Weijie , Tan Yongqi , Zhang Yuqing , Yue Zengqi , Zou Long , Shabbir Sahar , Wu Mengting , Chen Fengye , Yu Jin 
Published: April 2021

Abstract
With the ChemCam instrument, laser-induced breakdown spectroscopy (LIBS) has successively contributed to Mars exploration by determining elemental compositions of soils, crusts and rocks. American Perseverance landed since Feb 18, 2021 on Mars and Chinese Tianwen 1 planned for landing soon, further increase the number of LIBS instruments on Mars. Such unprecedented situation requires a reinforced research effort on the methods of LIBS spectral data treatment. Although the matrix effects correspond to a general issue in LIBS, they become accentuated in the case of rock analysis for Mars exploration, because of the large variation of rock compositions leading to the chemical matrix effect, and the difference in surface physical properties between laboratory standards (in pressed powder pellet, glass or ceramic) used to establish calibration models and natural rocks encountered on Mars, leading to the physical matrix effect. The chemical matrix effect has been tackled in the ChemCam project with large sets of laboratory standards offering a good representation of various compositions of Mars rocks. The present work more specifically deals with the physical matrix effect which is still expecting a satisfactory solution. The approach consists in introducing transfer learning in LIBS data treatment. For the specific application of total alkali-silica (TAS) classification of rocks (either with a polished surface or in the raw state), the results show a significant improvement of the prediction ability of pellet-based models when trained together with suitable information from rocks in a procedure of transfer learning. The correct TAS classification rate increases from 25% for polished rocks and 33.3% for raw rocks with a machine learning model, to 83.3% with a transfer learning model for the both types of rock samples.
Enhancing-ARDS diagnostics for ICU patients: a retrospective, nested case-control study to develop a biomarker-based model
Authors: Fu Xuan , Lin Jinle , Seery Samuel , Tao Wuyuan , Lu Yanxiu , Ye Jianbing , Zeng Shiyong , Wei Jian , Luo Yi , Shang You , Zhang Wenwu , Yu Xuezhong , Wu Jian , Xu Jun , Zhu HuaDong , Dou Qingli , Wang Lijun , Zeng Xiaobin 
Published: April 2021

Abstract
Background: To investigate whether a series of biomarkers including club cell protein 16 (CC16), angiopoietin 2(Ang-2), soluble receptor for advanced glycation end-products (sRAGE), high-mobility group box 1 protein (HMGB1), and surfactant protein D (SPD) could be utilized for identifying patients, thereby increasing the diagnostic value of acute respiratory distress syndrome(ARDS) in intensive care unit (ICU). Methods: 211 ICU admissions were enrolled in this retrospective, nested case-control study. These patients were then divided into ARDS (n=79) and non-ARDS (n=132) groups according to the Berlin criteria on ICU day 1. Patient characteristics, vital signs, and laboratory examinations were collected within three hours of admission. Five inflammatory associated plasma biomarkers, as well as lung epithelial and endothelial injury which included CC16, Ang-2, sRAGE, HMGB1 and SPD were measured in the morning of day two in the ICU. Diagnostic values were analyzed with receiver operating characteristic (ROC) curves. Pearson’s product-moment correlation coefficient and multivariate logistic regression analysis were applied for predictive purposes. Results: C-reactive protein (CRP), NT-proBNP, and PH values for traditional indicators and five biomarkers were analyzed with an objective ARDS indicator, the PaO2/FiO2 ratio. Evidence suggests that only four of potential indicators analyzed here, and CRP hold high diagnostic value. The area under curve (AUC) for each were as follows: CC16 (AUC: 0.752; 95%CI0.680-0.824), Ang-2 (AUC: 0.695; 95%CI 0.620 -0.770), HMGB1 (AUC: 0.668; 95%CI 0.592-0.744), sRAGE (AUC: 0.665; 95%CI 0.588-0.743), CRP (AUC: 0.701; 95%CI 0.627-0.776). No single indicator surpassed the diagnostic capability of the PaO2/FiO2 ratio which had an AUC: 0.844(95%CI 0.789-0.898), especially in terms of sensitivity. However, when the binary logistic model was transformed and the model was built, the AUC increased from 0.647(95%CI 0.568-0.726) to 0.911(95%CI 0.864-0.946). Among the combinations tested, PaO2/FiO2+CRP+Ang-2+CC16+HMGB1 resulted in an AUC of 0.910 (95%CI 0.863-0.945), while PaO2/FiO2+CRP+Ang-2+CC16+HMGB1+sRAGE+SPD have an AUC of 0.911(95%CI 0.864-0.946). Conclusions: A combination of the assessed biomarkers could enhance ARDS diagnostics, which has obvious ramifications for patient care and prognosis. It may be possible to develop a predictive ARDS nomogram; however, of the combinations tested here, we would recommend PaO2/FiO2+CRP+Ang-2+CC16+HMGB1 for clinical practice. This is because of the cost implications in contrast with the benefit involved in utilizing the more elaborate model. Although, further health economics research is required to consider this opportunity cost for emergency care policy.