bluuebunny/crossref_metadata_2025_split huggingface dataset:
An intelligent algorithm for forecasting and finding the relationship between COVID-19 outbreak and pollutants condensation
Authors: Rahmani Amir Masoud , Mirmahaleh Seyedeh Yasaman Hosseini 
Published: July 2020

Abstract
Background and Objective: Nowadays, the endemic and survival of Coronavirus disease 2019 (COVID-19) are challenging for humanity healthy, which led to death and hard or soft physical diseases and economic damages in the entire world. Durability and life span of COVID-19 are the negative feature and the problematic for transferring the virus via different ways such as environmental factors. Increasing the condensation of particulate matters (PM2.5, the atmospheric aerosol) is also challenging for the metropolitans in autumn and winter as the critical seasons of the year. Methods: In this paper, we propose a method for analyzing the relationship between the pollutants (PM2.5 as an aerosol and Carbon monoxide as the pollutant gas) and the number of COVID-19 infected people (CIP) to determine the COVID-19 outbreak in the pollutant seasons. We analyzed the relationship between COVID-19 outbreak and aerosol, and COVID-19 outbreak and pollutant gas using monitoring air quality monitoring stations (AQMSs) and investigating daily statistics about the number of COVID-19 infected people. We also propose an algorithm based on neural networks that forecasts the normal or critical situation of the COVID-19 outbreak based on the previously estimated the correlation coefficient (CC) and the online reported aerosol condensation from AQMSs. Results: Our work consists of estimating the CC based on the Kendall rank method in Tehran and Isfahan, two major cities of Iran, from February 20 to March 19, 2020. Experimental results show the correlation coefficient approximately 0.5 for aerosol and the number of CIP, and 0.21 for pollutant gas and the number of CIP in Tehran. Our analysis shows a direct relationship between increasing the condensation of PM2.5 and the number of CIP. In addition, there is no relationship between the number of CIP and Carbon monoxide. We also forecast the situation of Isfahan according to the number of CIP using our proposed algorithm that the results demonstrate the critical situation. Conclusion: Aerosols increase the probability of getting infected COVID-19 due to respiratory disease and the probability of transferring the virus via particulate matters. Our work can be useful to alert people about the critical situation of the city that the results can provide a prevention approach to face COVID-19.
Market Risk Model agricolture portfolio value-at-risk
Authors: Carlone Giulio 
Published: July 2020

Abstract
Thinking about this current extreme scenario of stock exchange observed in a world scenario perspective and the related choices for worldbank portfolio investments in Agricolture commodity, this study its based in an advanced economic observation and analisys of the Agricolture commodity in a scenario of portfolio diversification without have the market risk default. This study its based in an advanced financial strategy to define the market model composed of London stock exchange agricolture commodity observed first in a London scenario and second in a Europe scenario and finally in a world scenario. The authorities regulation and the requirements used to define , the mathematical point of view and to describe , the market value at risk point of view , have been standardized in this empirical market model. The commodity scenario observed and the empirical market model defined to observe the max price distortions of the agricolture commodity defined and defined to observe the porfolio value at risk , are in this market model well described and standardized. Authorities are interested in the empirical market model to observe the VaR data because they are interested in a bank’s ability to withstand extreme events. VaR is monitored and is sanctioned by regulators defined in the Basel accords. The observed price are used in a variable choice of number of data price observation of five price for week a data price observation of one prices for week and a data price observation of two price for week and further similar strategies .
The Abundance of Long Intergenic Non-coding RNA 01087 Differentiates Luminal From Triple-negative Breast Cancer Patients and Predicts Their Clinical Outcome
Authors: Palma Fatima Domenica Elisa De , Monaco Valentina Del , Pol Jonathan G. , Kremer Margerie , D’Argenio Valeria , Stoll Gautier , Montanaro Donatella , Uszczyńska-Ratajczak Barbara , Klein Cecilia C. , Vlasova Anna , Botti Gerardo , D’Aiuto Massimiliano , Baldi Alfonso , Guigó Roderic , Kroemer Guido , Maiuri Maria Chiara , Salvatore Francesco 
Published: July 2020

Abstract
Background

The molecular complexity of human breast cancer (BC) is one of the current challenges for the clinical management of the disease. The identification of subtype-specific biomarkers, such as long non-coding RNAs (lncRNAs), is currently investigated to improve BC patient’s stratification, early detection and disease monitoring.
Methods

High-throughput sequencing approach of rRNA-depleted RNA samples extracted from 61 laser-microdissected breast tissues, supported by in silico analyses relying on TCGA database (n = 813), were performed to define a specific signature of lncRNAs in the different BC subtypes. Focusing on the long intergenic non-coding RNA 01087 (LINC01087), we estimated its prognostic value using Kaplan-Meier Plotter Database, together with its association with clinical parameters and the histological tumor type within the TCGA cohort of BC patients. cBioPortal data were used to evaluate the expression level of LINC01087 according to the mutational status of TP53, BRCA1 and BRCA2 in BC patients. TCGA samples of triple-negative BC (TNBC) and luminal BCs have been segregated according to the expression level of LINC01087 for comparative analysis of the transcriptomic profiles to identify genes modulated upon variation of the level of LINC01087. GO, KEGG and REACTOME functional annotation and enrichment analyses of these modulated genes were conducted, and their protein-protein interaction networks built using STRING database.
Results

We identified the involvement of LINC01087 in breast oncogenesis. LINC01087 appeared significantly downregulated in TNBCs and upregulated in the luminal BC subtypes in comparison to mammary samples from cancer-free woman and matched normal cancer tissue pairs. Deregulation of LINC01087 allowed to accurately distinguish luminal and TNBC specimens, independently of the clinicopathological parameters, of the histological and TP53 or BRCA1/2 mutational status. Moreover, a higher level of LINC01087 expression predicted a better prognosis in luminal BCs, while TNBCs harboring a lower expression of LINC01087 were associated with a reduced relapse-free survival. Furthermore, bioinformatics analyses suggested a putative tumor suppressor activity of LINC01087 through interference with pathways involved in cell survival, proliferation, adhesion, or inflammation.
Conclusions

The assessment of LINC01087 deregulation in BCs represents a novel and specific biomarker for the diagnosis of luminal BC and TNBC subtypes, and also to predict their clinical outcome.
Global trends in clinical trials involving pluripotent stem cells: A systematic multi-database analysis
Authors: Deinsberger Julia , Reisinger David , Weber Benedikt 
Published: July 2020

Abstract
Background: Pluripotent stem cells (PSCs) hold great potential for novel therapeutic approaches to regenerate or replace functionally impaired tissues. Since the introduction of the induced pluripotent stem cell technology in 2006, the number of scientific publications on this topic has constantly been increasing. However, so far no therapy based on PSCs has found its way into routine clinical use. Methods: In this study, we examined research trends related to clinical trials involving PSCs based on data obtained from ClinicalTrial.gov, the ICTRP database from the World Health Organization, as well as from a search of all individual databases that are included in the ICTRP using a multistep search algorithm. Results: 131 studies could be classified as clinical trials involving PSCs and were included into further analyses. The magnitude of these studies (77.1%) was observational, which implies that no cells were transplanted into patients, and only a minority of studies (22.9%) had an interventional character. The number of clinical trials involving induced pluripotent stem cells (iPSCs, 74.8%) was substantially higher than the one involving embryonic stem cells (ESCs, 25.2%). However, the picture changes when focusing on interventional studies, where in the majority (73.3%) of cases ESCs were used. Interestingly, the study duration was significantly shorter for interventional versus observational trials (p=0.002). When focusing on the geographical study regions, it became obvious that the greatest part of all observational trials was performed in the USA (41.6%) and in France (16.8%), while the magnitude of interventional studies was performed in Asian countries (China 36.7%, Japan 13.3%, South Korea 10.0%) and in the field of ophthalmology. Conclusions: These results indicate that only a limited number of trials were focusing on the actual transplantation of PSCs into patients in a rather narrow field of diagnoses. The majority of interventional trials involving PSCs took place in Asian countries and in the field of ophthalmology. The future will tell us, if the iPSC technology will ultimately overcome the current challenges and will finally make its way into routine clinical use.
Identification of Both Shared and Specific Potential Molecular Mechanisms of ARVC and DCM Based on A Genome-Wide Microarray Dataset
Authors: Zhang Tang , Guan Yao-Zong , Liu Hao 
Published: July 2020

Abstract
Background：The study aimed to detect the shared differentially expressed genes (DEGs) and specific DEGs of arrhythmogenic right ventricular cardiomyopathy (ARVC) and dilated cardiomyopathy (DCM) as well as their pathways. Methods: The GSE29819 dataset was examined for the DEGs of ARVC vs. non-failing transplant donor hearts (NF), DCM vs. NF, and ARVC vs. DCM based on 8 patients with ARVC, 7 patients with DCM, and 4 non-failing transplant donor hearts that were never actually transplanted. The shared DEGs and specific DEGs were screened out using a Venn diagram. The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, Gene Ontology (GO) annotation, and protein-protein interaction (PPI) of the DEGs were determined using online analytical tools. Then, the modules and hub genes were identified using Cytoscape software. Results: A total of 684 shared DEGs of ARVC vs. NF and DCM vs. NF, 1371 specific DEGs of ARVC vs. NF, and 1075 specific DEGs of DCM vs. NF were identified. The shared DEGs were enriched in 63 biological processes (BP), 11 molecular functions (MF), 10 cellular components (CC), and 25 KEGG pathways. The DEGs of ARVC vs. DCM were enriched in 71 BPs, 19 MFs, 14 CCs, and 26 KEGG pathways. A PPI network with 187 nodes, 700 edges, and 2 modules, and another PPI network with 575 nodes, 2834 edges, and 7 modules were constructed based on the shared and specific DEGs, respectively. The top ten hub genes CCR3, CCR5, CXCL2, CXCL10, CXCR4, FPR1, APLNR, PENK, BDKRB2, GRM8, and RPS8, PRS3A, PRS12, RPS14, RPS21, RPL14, RPL18A, RPL21, RPL31 were identified for the shared and specific PPI networks, respectively. Conclusions: Our findings may help further the understanding of both shared and specific potential molecular mechanisms of ARVC and DCM.
N-carbamoylglutamate supplementation in late-gestation dairy cows is associated with increased newborn weight and improved nutrient supply in the placentome
Authors: Gu Fengfei , Jiang Luyi , Xie Linyu , Wang Diming , Liu Jian-Xin 
Published: July 2020

Abstract
Background

N-carbamoylglutamate (NCG), a structural analog of N-acetylglutamate that is essential for endogenous arginine synthesis, has unique advantages, including low rumen degradability, low cost, and a lack of negative effects on intestinal absorption of dietary histidine and lysine. Information is limited on the effect of dietary NCG on the reproduction performance of the late-gestation dairy cows. The objective of this study was to investigate whether supplementation of NCG to cows during late gestation alters uteroplacental tissue nutrient transporters, calf metabolism and newborn weight.
Results

Thirty multiparous Chinese Holstein cows were used in an experiment with a randomized complete block design. During the last 28 d of pregnancy, cows were fed a diet without (CON) or with NCG (20 g/d/cow). The mRNA expression of genes related to arginine, glucose, and fatty acid transporters, angiogenesis factors and the mTOR pathway in the placentome were analyzed. Blood samples of calves were collected for analysis of plasma parameters, amino acids, and metabolites. The newborn weight (P < 0.01) and plasma arginine concentrations (P = 0.07) were higher in NCG calves than in CON calves. The mRNA expression of genes involved in glucose transport, angiogenesis and the mTOR pathway in the placenta was upregulated (P < 0.01) in NCG-supplemented cows. In addition, 17 significantly different metabolites identified were mainly involved in arginine and proline metabolism; alanine, aspartate and glutamate metabolism and the citrate cycle.
Conclusions

These results suggest that the increased expression of angiogenesis factors and glucose transporters and the activation of mTOR signaling pathways in the uteroplacenta that occurs through changes in gene transcription under NCG supplementation may be contribute to an increased nutrient supply and improved amino acid metabolism and urea cycling in the fetus.
Adaptive Neuro Fuzzy Inference System Used to classify the Five Major Types of Brain Tumors
Authors: Bandyopadhyay Samir , Dutta Shawni 
Published: July 2020

Abstract
Life threatening diseases in both male and female are Brain tumor, stroke, hemorrhage and multiple sclerosis (MS). The most common and widespread disease among these brain diseases is Brain tumor. Early and accurate diagnosis of brain lesion is vital for determining accurate treatment and prognosis. However, the diagnosis is a very challenging task and can only be performed by specialists in neuroradiology. In this paper, initially MRI image is taken as input and is normalized. The second stage includes extraction of feature vectors from the image which results in reducing redundancy of data to serve as the input to the classifier. The classifier extracted vector as features to produce classified output. The methodology performed very efficiently and accurately. Proposed work exhibits the application of Fuzzy Inference System (FIS) based classifier known as Adaptive Neuro Fuzzy Inference System (ANFIS) to successfully classify the five major types of brain tumors.
A high-resolution global runoff estimate based on GIS and an empirical runoff coefficient
Authors: Liang Shumin , Greene Richard 
Published: July 2020

Abstract
This paper reviews 110 years of global runoff estimation. By employing the method of ordinary least square regression on a sample region's runoff coefficient, an empirical formula of a runoff coefficient is calculated for China. Based on this empirical formula applied with a high-resolution grid of precipitation, runoff is calculated resulting in an equally high-resolution map of global runoff using a geographic information system (GIS). The main results are (1) the global total runoff volume is 47,884 km3, (2) the average runoff depth is 359 mm, (3) the interior drainage region's runoff volume is 1,663 km3, and (4) the average runoff depth is 58.4 mm. The results are compared with the results of the existing literature on global runoff. This study emphasizes the importance of runoff and groundwater recharge in arid and semi-arid regions where the estimation value of runoff depth is significantly increased.
Retracted: Detection of virulence genes of diarrheagenic Escherichia coli strains from drinking water in Khartoum State
Authors: Moglad Ehssan H. , Jalil Adam Omima Abdl El , Alnosh Maram M. , Altayb Hisham N. 
Published: July 2020

Abstract
The Journal of Water and Health issues a formal retraction relation to the above article by Ehssan H. Moglad et al. This decision has been taken as not all authors agree to the publication of the manuscript.
Comparative hazard evaluation of enteric bacteria in two surface water sources in Akure, Nigeria
Authors: Olalemi A. O. , Ige O. M. , Oladejo O. T. , Yusuf O. R. , Akinmolayan B. 
Published: July 2020

Abstract
This study was carried out to determine the level of enteric bacteria in two surface water sources (river and stream) commonly used for domestic, recreational and agricultural purposes in Akure, Nigeria. This is to gain a better understanding of the level of faecal pollution of the water sources and the potential health risks associated with usage of the waters for human activities. Water samples were collected from the river and the stream from May to September, 2019 (n = 24). The concentration of enteric bacteria in the water samples was determined using the membrane filtration technique, while the physicochemical characteristics of the water samples were determined using the standard method. Results revealed that the concentration of Escherichia coli ranged from 3.00 to 4.78 log10 cfu/100ml and 3.48 to 5.75 log10 cfu/100ml in water samples from the river and stream respectively; Bifidobacterium ranged from 4.18 to 5.00 log10 cfu/100ml and 3.87 to 4.66 log10 cfu/100ml in water samples from the river and stream respectively; Salmonella ranged from 3.30 to 4.30 log10 cfu/100ml and 2.60 to 4.32 log10 cfu/100ml in water samples from the river and stream respectively. Water temperature ranged from 22.1 to 28.5 °C and 23.64 to 25.56 °C in the river and stream respectively; turbidity ranged from 12.28 to 29.11 NTU and 17.07 to 61.80 NTU in the river and stream respectively. Spearman's rank correlation showed that Salmonella had positive relationship with temperature (r = 0.556) in water samples from the stream whereas Bifidobacterium exhibited a positive relationship with dissolved oxygen (r = 0.557) in water samples from the river. While the stream appeared to have a higher turbidity than the river, the level of enteric bacteria in the river was higher than that in the stream. Based on microbiological water quality categories, the findings from this study demonstrated that the level of enteric bacteria in the river and stream suggests strong faecal pollution that may pose potential risks of diarrheal diseases to humans. Water from these two surface water sources must be treated before use in order to protect human health.
Agricultural resilience under increasing water security threats: insights for smallholder farming in Limpopo Province, South Africa
Authors: Kativhu Simbarashe , Mwale Marizvikuru M. , Zuwarimwe Jethro 
Published: July 2020

Abstract
Smallholder farmers in South Africa are facing increased pressure to manage water use due to growing scarcity and environmental water demand. This prompts the need to build resilient irrigation systems particularly for smallholder farmers. Building resilience is more pertinent in Limpopo province, where crop and animal production is hampered by water scarcity. Currently, there is an array of generic adaptation strategies for attaining resilient irrigation schemes in South Africa and beyond. However, the effectiveness and feasibility of these resilience measures at farm level, particularly among smallholders in marginalised areas, are not well researched in Limpopo Province. The current paper draws lessons from adaptation mechanisms in Southern Africa, indicates areas that require further studies and recommends ways for enhancing smallholder resilience against water scarcity. The article contributes to efforts for enhancing water security and fulfil the targets set in sustainable development goal 2 of zero hunger, South Africa Vision 2030, and the government's food security mandate, particularly through suggesting ways for enhancing smallholder farmer resilience and water security.
Research on response of water quality to land use pattern in nine plateau lake watersheds of Yunnan Province, China
Authors: Zeng W. J. , Li J. H. , Wang J. X. , Wang Y. , Bao L. , Liao L. J. , Guo X. F. , Guo Y. X. , Wu B. L. , Zhang J. S. 
Published: July 2020

Abstract
To study how water quality responds to land use types is of great significance in realizing effective control of non-point source pollution. This study built a response model of water quality to land use. The research results are as follows. First, the proportion of farmland is positively correlated to the total phosphorus (TP) value and biochemical oxygen demand (BOD) value, which indicates that the water quality deteriorates as the area of farmland increases. Second, the proportion of woodland is negatively correlated to the permanganate index, the trophic state index, total nitrogen (TN) value, TP value and BOD value, which means the water quality improves as the area of woodland increases. Third, the proportion of grassland is negatively correlated to the water quality indices and the correlation coefficient is large, which indicates that the water quality improves as the area of grassland increases. Fourth, the proportion of land used for buildings is positively correlated to the trophic state index and the chemical oxygen demand (COD) value at the 0.05 significance level, which means that the water quality deteriorates as the area of land for buildings increases. This study is expected to provide a basis for optimization of the land use and effective pollution control in the nine plateau lake watersheds.
Water security evaluation based on comprehensive index in Jing-Jin-Ji district, China
Authors: Huang Ze , Liu Jiahong , Mei Chao , Wang Hao , Shao Weiwei 
Published: July 2020

Abstract
China has long faced the problem of uneven distribution of water resources in time and space. The state of water security is therefore a key factor in regional development. The Jing-Jin-Ji district in China, which includes Beijing, Tianjin and Hebei Province, faced severe water security problems. Therefore, to improve the management of water resources, water security should be properly evaluated. This study established a comprehensive evaluation index system for evaluation. Furthermore, it analyzed the impacts of the South-to-North Water Transfer Project (SNWTP), which fully reflects the impact of human activities on the spatial distribution of water resources and is an innovation. The results showed that the state of water security in the Jing-Jin-Ji district generally had an increasing trend, and the score of the overall evaluation was increased by 65.8%. The Middle Route of the SNWTP had played a major role in water security in resources criterion, which increased by 28.53% in 2015 and 13.64% in 2016. With social development, the general state of water security in the district was improving. These findings could provide a scientific basis for regional water resources management.