bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioinformatics analysis to screen and identify key biomarkers of papillary renal cell carcinoma
Authors: Xu Yingying , Chunbo Zou 
Published: February 2021

Abstract
Background: Papillary renal cell carcinoma (PRCC) is the second most common type of renal cell carcinoma after clear cell renal cell carcinoma(ccRCC). Its pathological classification is controversial and its molecular mechanism is poorly understood. Therefore, the identification of key genes and their biological pathways is of great significance to elucidate the molecular mechanisms of PRCC occurrence and progression. Methods:Downloaded PRCC-related datasets GSE7023, GSE48352 and GSE15641 from the Gene Expression Omnibus (GEO) database. Differential expression genes (DEG) were identified and gene ontology (GO) term enrichment analysis and Kyoto Encyclopedia of Genes and Genomics (KEGG) pathway analysis were performed. Cytoscape and STRING are used to construct the Protein-Protein Interaction Network (PPI) and module analysis to find hub genes and key pathways. Hierarchical clustering of hub genes was constructed using UCSC. Overall survival and relapse-free survival of Hub genes were analyzed using Kaplan-Meier plotter. UALCAN was applied to analyze genes expression in primary organizations, different stages ,different subtypes and races.Results: A total of 214 DEG genes were identified, including 205 down-regulated genes and 9 up-regulated genes. DEG is mainly concentrated in angiogenesis, kidney development, oxidation-reduction process, metabolic pathways, etc. 17 hub gene enrichment mainly in angiogenesis, cell adhesion, platelet degranulation, Leukocyte transendothelial migration biological processes, etc. 17 hub genes were screened out, which were mainly enriched in the biological processes of angiogenesis, cell adhesion, platelet degranulation, and leukocyte transendothelial migration. Survival analysis showed that EGF, KDR, CXCL12, REN, PECAM1, CDH5, THY1, WT1, PLAU and DCN may be related to the carcinogenesis, metastasis or recurrence of PRCC. Conclusions: DEG and hub genes identified in present study provide clues to the specific molecular mechanisms of PRCC occurrence and development, and may be potential molecular markers and therapeutic targets for accurate classification and efficient diagnosis and treatment of PRCC.
Socioeconomic differentials in trends in the prevalence of hypertension and pre-hypertension and hypertension awareness, treatment, and control in rural Southwestern China
Authors: Fan Luming , Wang Fang , Zhao Min , Cui Wen-Long , Cai Le 
Published: February 2021

Abstract
Background: This study examines the socioeconomic differentials in trends in the prevalence of hypertension and pre-hypertension and hypertension awareness, treatment, and control in rural Southwestern China.Methods: Two cross-sectional interviews and health examination surveys were administered in rural Yunnan Province, including 6,350 consenting participants in 2009 and 6,359 consenting participants in 2016 (aged ≥ 35 years). Participant demographics, socioeconomic status (SES), and ethnicity, along with information about hypertension awareness, treatment, and control, were collected using similar questionnaires in the two surveys. The participants’ blood pressure levels were also measured.Results: From 2009 to 2016, the prevalence of hypertension substantially increased from 28.4% to 39.5% (P < 0.01), and awareness and control rose from 42.2 and 25.8% to 53.1 (P < 0.01) and 30.6% (P < 0.05), respectively. Although people with a higher education level also had higher awareness and control rates than the lower education level ones, there were no conspicuous differences in the improvement of awareness and control between publics with different education levels over the 7 years studied. Increases were observed in both rates of awareness and control in people with a high level of income (P < 0.01). However, only the awareness rate increased in participants with a low level of income. Furthermore, the prevalence (P < 0.01) and treatment (P < 0.05) of hypertension were higher in the Han people than in ethnic minorities.Conclusions: Individual SES has clear associations with trends in the prevalence, awareness, and control of hypertension. Future interventions to improve hypertension prevention and control should be tailored to address individual SES.
Factors associated with decision making power of women to use family planning among married women in sub-Saharan Africa: A multilevel analysis of demographic health surveys
Authors: Demissie Getu Debalkie , Akalu Yonas , Gelagay Abebaw Addis , Alemnew Wallelign , Yeshaw Yigizie 
Published: February 2021

Abstract
Background: In sub-Saharan Africa there are several socio-economic and cultural factors which affect women’s ability to make decision regarding their own health including contraceptive usage. The main aim of this study was to determine factors associated with decision making power of women to use family planning in sub-Saharan Africa.Methods: The appended, most recent demographic and health survey datasets of 35 sub-Saharan countries were used. A total weighted sample of 83,882 women were included in the study. Both bivariable and multivariable multilevel logistic regression were done to determine the associated factors of decision making power of women to use family planning in SSA. The Odds Ratio (OR) with a 95% Confidence Interval (CI) was calculated for those potential variables included in the final model. Results: Those married women with primary education (AOR=1.24; CI:1.16,1.32),secondary education (AOR=1.31; CI:1.22,1.41), higher education (AOR=1.36; CI:1.20,1.53),media exposure(AOR=1.08; CI: 1.03, 1.13), currently working (AOR=1.27; CI: 1.20, 1.33), antenatal care visit of 1-3 (AOR=1.12; CI:1.05,1.20) and ≥ 4 ANC visit (AOR=1.14;CI:1.07,1.21), women who were informed about family planning (AOR=1.09; CI: 1.04, 1.15), women who had less than 3 children(AOR=1.12; CI: 1.02, 1.23) and 3-5 children (AOR=1.08; CI: 1.01, 1.16) had higher odds of decision making power to use family planning than their counter parts. Besides, mothers with age of 15-19 (AOR=0.61; CI: 0.52, 0.72), 20-24 (AOR= 0.69; CI: 0.60, 0.79), 25-29 (AOR=0.74; CI: 0.66, 0.84), and 30-34 years (AOR=0.82; CI: 0.73, 0.92) had reduced chance of decision making power of women to use family planning. Conclusion: Age, women’s level of education, occupation of women and their husband, wealth index, media exposure, ANC visit, fertility preference, husband’s desire number of children, region and information about family planning were factors associated with decision making power to use family planning among married women.
Authentication of IoT Device and IoT Server Using Security Key
Authors: Alnahari Wael 
Published: February 2021

Abstract
The Internet of Things (IoT) is an emerging topic in the field of information technology (IT) that has attracted the interest of researchers from different parts of the world. Authentication of IoT includes the establishment of a model for controlling access to IoT devices through the internet and other unsecured network platforms. Strong authentication of IoT is necessary for ensuring that machines and devices could be trusted when it comes to data sharing. The whole idea of authentication further prevents cybercriminals from using loopholes in IoT devices to access data that they are not allowed to access. Various authentication techniques could be used to secure IoT servers and devices. Establishing mutual authentication between IoT servers and IoT devices has attracted a lot of research interests because it helps enhance the effectiveness and overall security of data sharing. Therefore, this research provides the basis for analyzing the whole idea of using security keys to encrypt both IoT servers and IoT devices.
An Exploration of Fractal Based Prognostic Model and Comparative Analysis for Second Wave of COVID-19 Diffusion
Authors: D. Easwaramoorthy , A. Gowrisankar , A. Manimaran , S. Nandhini , Banerjee Santo , Rondoni Lamberto 
Published: February 2021

Abstract
The coronavirus disease 2019 (COVID-19) pandemic has fatalized 216 countries across the world and has claimed the lives of millions of people globally. Researches are being carried out worldwide by scientists to understand the nature of this catastrophic virus and find a potential vaccine for it. The most possible efforts have been taken to present this paper as a form of contribution to the understanding of this lethal virus in the first and second wave. This paper presents a unique technique for the methodical comparison of disastrous virus dissemination in two waves amid five most infested countries and the death rate of the virus in order to attain a clear view on the behaviour of the spread of the disease. For this study, the dataset of the number of deaths per day and the number of infected cases per day of the most affected countries, The United States of America, Brazil, Russia, India, and The United Kingdom have been considered in first and second wave. The correlation fractal dimension has been estimated for the prescribed datasets of COVID-19 and the rate of death has been compared based on the correlation fractal dimension estimate curve. The statistical tool, analysis of variance has also been used to support the performance of the proposed method. Further, the prediction of the daily death rate has been demonstrated through the autoregressive moving average model. In addition, this study also emphasis a feasible reconstruction of the death rate based on the fractal interpolation function. Subsequently, the normal probability plot is portrayed for the original data and the predicted data, derived through the fractal interpolation function to estimate the accuracy of the prediction. Finally, this paper neatly summarized with the comparison and prediction of epidemic curve of the first and second waves of COVID-19 pandemic to picturize the transmission rate in the both times.
The Association Between Occupational Factors, Depression, and Health-Related Quality of Life in Military Women in Republic of Korea: A Cross-Sectional Study
Authors: Kwon Eunji , Park Jeongok , Kim Sue , Lee Kyung Hee 
Published: February 2021

Abstract
Background: Health-related quality of life (HRQOL) is an important concept to consider both individuals' ability to manage their daily lives and health status across the lifespan. Despite this variable's importance, there is a lack of clarification on the factors associated with HRQOL, especially for military women. The aim of this study was to examine factors associated with HRQOL of military women in the Korea Army.Methods: This cross-sectional study included 196 participants who were currently within their 5-year service period. Differences in HRQOL according to general and occupational factors were analyzed using the independent t-test and analysis of variance. Multiple linear regression analysis was performed to identify factors associated with the HRQOL of women serving as military junior officers.Results: The mean score for the physical component summary (PCS) of HRQOL was 56.0±5.8, and that for the mental component summary (MCS) of HRQOL was 47.2±10.0. For depression, the mean score was 5.4±5.2, whereas 19.4% of the participants scored more than 10 out of 27 points, which means moderate to severe. No variables showed statistically significant relationships with the PCS. However, significant relationships with the MCS were found for rank (β = -3.63, p <. 001), duty time (β = -4.93, p = .029), perceived stress (β = -0.61, p <. 001), and depression (β = -0.90, p <. 001).Conclusions: Although depression levels were not severe, it was a significant factor of HRQOL and thus the need for depression screening and regular depression management in women serving in the ROK Army to improve their HRQOL. Considering these results, nursing officers should conduct frequent testing related to mental health and take steps to manage high-risk groups. This study also contributes to the literature by providing basic data for the establishment of an appropriate health service environment and systematic health management policies.
Single Base Station Positioning based on Multipath Parameter Clustering in NLOS Environment
Authors: Wang Yong , Wu Qihong , Zhou Mu , Yang Xiaolong , Nie Wei , Xie Liangbo 
Published: February 2021

Abstract
This paper proposes a scattering area model based on the spatial layout and a joint clustering algorithm for processing multipath parameters extracted from the model. First of all, we construct a scatter area model based on the spatial layout of obstacles near the base station and then collect the multipath signals needed for positioning and extract parameters. Second, we use the joint clustering algorithm improved by k-means clustering and mean shift clustering algorithm to process the parameters and extract useful information. Third, the processed information is combined with the spatial layout information of the scattering area model to construct equations, and then the solving problem of equations is converted into a least-squares optimization problem. Finally, the Levenberg-Marquardt (LM) algorithm is used to solve the optimal solution and estimate the mobile target position. The simulation results show that the positioning algorithm in this paper can use a single base station to locate the target in an outdoor Non-line-of-sight (NLOS) environment, and the accuracy is improved compared with the traditional positioning algorithm.
Exogenous H2S Preventing&nbsp;PDC-E1 Translocation to Nucleus and Inhibiting Vascular Smooth Muscle Cell Proliferation in Diabetic State
Authors: Zhang linxue , Jiang xiaoshu , Li mingyu , Kang jiaxin , Chen lingxue , Tang jingyuan , Zhang shiwu , Lu fanghao , zhang weihua 
Published: February 2021

Abstract
BackgroundThe poliferation of vascular smooth muscle cells (VSMCs) is the main cause of diabetic vascular complications. Hydrogen sulfide (H2S), a gaseous molecule, is involved in modulating multiple physiological functions. H2S could inhibit VSMCs proliferation induced by hyperglycemia and hyperlipidemia, however, the mechanisms are unclear. ResultsOur results showed that H2S level was lower and expression of proliferative protein for PCNA and CyclinD1 was higher in db/db mice aorta and VSMC treated by glucose and palmitate, whereas, exogenous H2S decreased PCNA and CyclinD1 expression. We found that mitochondrial pyruvate dehydrogenase complex-E1 (PDC-E1) was significantly translocated to the nucleus of VSMCs with the treatment of high glucose and palmitate, and it increased the level of acetyl-CoA and histone acetylation (H3K9Ac). Exogenous H2S inhibited PDC-E1 translocation from mitochondria to nucleus, due to PDC-E1 being modified via S-sulfhydration. In addition, PDC-E1 was mutated at Cys101. Overexpression of PDC-E1 mutated at Cys101 enhanced histone acetylation (H3K9Ac) and VSMCs proliferation.ConclusionsThese findings suggested that H2S regulated PDC-E1 S-sulfhydration at Cys101 to prevent its translocation from mitochondria to nucleus and inhibit VSMCs proliferation in diabetic conditions.
Early Signs of Atypical Pneumoconiosis in a Dental Technician in Italy: a Case Report
Authors: Tiraboschi Mara Maria , Sala Emma , Ferroni Matteo , Tironi Andrea , Borghesi Andrea , Gilberti Maria Enrica , Ceruti Paolo , Sansone Emanuele , Palma Giuseppe De 
Published: February 2021

Abstract
BACKGROUND Dental technicians are at high risk of pneumoconiosis, usually driven by inhalation of mixed dusts, including metals. An etiological diagnosis is not easy to be performed, particularly in advanced stages. CASE PRESENTATION We describe the case of an atypical early pneumoconiosis occurring in a 47-year-old dental technician who developed early respiratory symptoms shortly after beginning work. She described the work environment as dusty and lacking relevant primary prevention tools. A chest CT showed multiple peripheral pseudonodular lesions in both lower lobes; bronchoalveolar lavage (BAL) and bronchial aspirate (BAS) evidenced numerous macrophages with reflective metal bodies included into the cytoplasm, that at scanning electron microscopy coupled to Energy Dispersive X-Ray Analysis resulted Zirconium and Aluminum, whereas Tungsten (W) was localized outside cells. End of shift urinary concentrations of W were substantially raised as compared to pre-shift (1,1 vs 0,2 µg/L). CONCLUSIONS We concluded for diagnosis of early work-related pneumoconiosis due to abnormal occupational exposure to metals. The case demonstrates the need also for dental professionals to comply with industrial hygiene standards and to be monitored by occupational health physicians.
The Transfer Mechanism of Pollution Industry in China Under Multi-factor Combination Model--Based on Industry, Location and Environment Perspectives
Authors: li chuang , xia wenjing , wang liping 
Published: February 2021

Abstract
In the process of industry transfer, how to ensure the sustainable development of ecological environment is a very important problem for every local government. Therefore, this paper introduces environmental factors into the transfer mechanism of pollution industry, establishes a Triangle Model, and empirically studies the transfer mechanism of China’s pollution industry under various combination scenarios based on the panel data of 30 provinces in 2000–2015. The results show that: (1) The pollution industry transfer is the result of the change of regional competitive advantages; the industrial advantage is the primary factor of pollution industry transfer in China and is positive role in attracting industrial transfer. (2) With the continuous promotion of regional coordination strategy and ecological civilization construction, the attraction of regional factors to industry transfer has been reduced, and the inhibition of environmental factors to pollution industry is increasing. In addition, it is worth noting that China’s pollution industry had not gone to “innovation highland” but “environmental depression” during the research period, that is, the phenomenon of PHH more likely happened during the process of industry transfer among Chinese provinces. The paper suggests that all provinces should adhere to the concept of green development and promote industrial transformation and upgrading through industry transfer.
Occurrence and Removal of Antibiotics, Antibiotic-Resistance Genes and Bacterial Communities in Hospital Wastewater
Authors: Yao Shijie , Ye Jianfeng , Yang Qing , Hu Yaru , Zhang Tianyang , Jiang Lei , Munezero Salvator , Lin Kuangfei , cui changzheng 
Published: February 2021

Abstract
Hospital wastewater contains a variety of human-related antibiotics and pathogens, which makes the treatment of hospital wastewater essential. However, there is a lack of research on these pollutants in hospital wastewater treatment plants. In this study, the characteristics and removal of antibiotics and antibiotic resistance genes (ARGs) in independent treatment processes of hospitals of different scales (primary hospital H1, secondary hospital H2, and tertiary hospital H3) were investigated. The occurrence of antibiotics and ARGs in wastewater from three hospitals varied greatly. The first-generation cephalosporin cefradine was detected at a concentration of 2.38 μg/L in untreated wastewater of H1, while the fourth-generation cephalosporin cefepime had the highest concentration, 540.39 μg/L, in H3. Ofloxacin was detected at a frequency of 100% and had removal efficiencies of 44.2%, 51.5%, and 81.6% for H1, H2, and H3, respectively. The highest relative abundances of the β-lactam resistance gene blaGES-1 (1.77×10-3 copies/16S rRNA), quinolone resistance gene qnrA (8.81×10-6 copies/16S rRNA), and integron intI1 (1.86×10-4 copies/16S rRNA) were detected in the treated wastewaters. The concentrations of several ARGs were increased in the treated wastewater (e.g., blaOXA-1, blaOXA-10 and blaTEM-1). Several pathogenic or opportunistic bacteria (e.g., Acinetobacter, Klebsiella, Aeromonas, and Pseudomonas) were observed with high relative abundances in the treated wastewater. These results suggested the co-occurrence of novel antibiotics, ARGs, and antibiotic-resistant pathogens in hospital wastewater that may spread into the receiving water environment.
C-Reactive Protein/Albumin Ratio Is a Powerful Prognostic Indicator for Survival in Surgically Resected Gastrointestinal Stromal Tumors: A Retrospective Cohort Study
Authors: Cao Xianglong , Cui Jian , Li Zijian , Zhao Gang 
Published: February 2021

Abstract
Background Systemic inflammation and malnutrition may promote tumor progression. C-reactive protein/albumin ratio (CAR) is linked with poor long-term survival of several malignant tumors.Purpose To explore the predictive value of CAR in gastrointestinal stromal tumors (GISTs).Methods A retrospective study was conducted on 325 patients with GIST who underwent radical surgery from 2009 to 2018. The cut-off point of CAR was set using X-tile software. Kaplan-Meier method and multivariate Cox regression model were used to study the prognostic value of CAR. The time-dependent receiver operating characteristic curve(tROC) was drawn, and the prognostic accuracy of CAR, Glasgow prognosis score (GPS), and NIH risk classification was compared by the area under the curve (AUC).Results The best cut-off point of CAR was 0.55. Increased CAR was associated with the location of the lower digestive tract, larger tumor size, higher mitotic index, higher NIH risk classification, lower ALB, higher CRP, and higher GPS (all p<0.05). Multivariable analysis revealed that CAR (hazard ratio [HR] 2.598, 95% confidence interval [CI] 1.385-4.874; p=0.003) was an independent predictor of overall survival. Additionally, the AUC of CAR was lower than that of NIH risk classification at 2-year (0.601vs. 0.775, p=0.002) and 5-year (0.629 vs. 0.735, p=0.069). However, the AUC of NIH risk classification was significantly increased (2-year OS 0.801, p=0.251; 5-year OS 0.777, p=0.011) when it was combined with CAR.Conclusions CAR is a new independent predictor of poor survival in patients with GIST. CAR combined with NIH risk classification can effectively improve the performance of prognosis prediction.
Effect of Dip-Coating Cycle on Some Physical Properties of Cu2NiSnS4 Thin Films for Photovoltaic Applications
Authors: ZITI Ahmed , HARTITI Bouchaib , BELAFHAILI Amine , LABRIM Hicham , FADILI Salah , RIDAH Abderraouf , TAHRI Mounia , THEVENIN Philippe 
Published: February 2021

Abstract
Quaternary semiconductor Cu2NiSnS4 thin film was made by the sol-gel method associated to dip-coating technique on ordinary glass substrates. In this paper, we have studied the impact of dip-coating cycle at different cycles: 4, 5 and 6 on the structural, compositional, morphological, optical and electrical characteristics. CNTS thin films have been analyzed by various characterization techniques including: X-ray diffractometer (XRD), Raman measurements, scanning electron microscope (SEM), energy dispersive X-ray spectroscope (EDS), UV-visible spectroscopy and four-point probe method. XRD spectra demonstrated the formation of cubic Cu2NiSnS4 with privileged orientation at (111) plane. Crystallite size of cubic CNTS thin films increase with from 6.30 to 9.52 with dip-coating cycle augmented. Raman scattering confirmed the existence of CNTS thin films by Raman vibrational mode positioned at 332 cm− 1. EDS investigations showed near-stoichiometry of CNTS sample deposited at 5 cycles. Scanning electron microscope showed uniform surface morphologies without any crack. UV-visible spectroscopy indicated that the optical absorption values are larger than 104 cm− 1, Estimated band gap energy of CNTS absorber layers decrease from 1.64 to 1.5 eV with dip-coating cycle increased. The electrical conductivity of CNTS thin films increase from 0.19 to 4.16 (Ω cm)-1. These characteristics are suitable for solar cells applications.