bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis on Signal-in-Space Range Error and Positioning Accuracy of BDS-3
Authors: Liu Weiping , Jiao Bo , Hao Jinming , Lv Zhiwei , Xie Jiantao , Liu Jing 
Published: December 2021

Abstract
Being the first mixed-constellation global navigation system, the global BeiDou navigation system (BDS-3) designs new signals, the service performance of which has attracted extensive attention. In the present study, the Signal-in-space range error (SISRE) computation method for different types of navigation satellites was presented. And the differential code bias (DCB) correction method for BDS-3 new signals was deduced. Based on these, analysis and evaluation were done by adopting the actual measured data after the official launching of BDS-3. The results showed that BDS-3 performed better than the regional navigation satellite system (BDS-2) in terms of SISRE. Specifically, the SISRE of the BDS-3 medium earth orbit (MEO) satellites reached 0.52 m, slightly inferior compared to 0.4 m from Galileo, marginally better than 0.57 m from GPS, and significantly better than 2.33 m from GLONASS. And the BDS-3 inclined geostationary orbit (IGSO) satellites achieved the SISRE of 0.90 m, on par with that of the QZSS IGSO satellites. However, the average SISRE of BDS-3 geostationary earth orbit (GEO) satellites was 1.15 m, which was marginally inferior to that of the QZSS GEO satellite (0.91m). In terms of positioning accuracy, the overall three-dimensional single-frequency standard point positioning (SPP) accuracy of BDS-3 B1C, B2a, B1I, and B3I gained an accuracy level better than 5 m. Moreover, the B1I signal exhibited the best positioning accuracy in the Asian-Pacific region, while the B1C signal set forth the best positioning accuracy in the other regions. Owing to the advantage in signal frequency, the dual-frequency SPP accuracy of B1C+B2a surpassed that of the transitional signal of B1I+B3I. Since there are more visible satellites in Asia-Pacific, the positioning accuracy of BDS-3 was moderately superior to that of GPS. The precise point positioning (PPP) accuracy of BDS-3 B1C+B2a or B1I+B3I converged to the order of centimeters, marginally inferior to that of the GPS L1+L2. However, these three combinations had a similar convergence time of approximately 30 minutes.
Trend Analysis of Climatic and Hydrological Parameters in Ajora-Woybo Watershed, Omo-Gibe River Basin, Ethiopia
Authors: Toma Meseret Bekele , Belete Mulugeta Dadi , Ulsido Mihret Dananto 
Published: December 2021

Abstract
BackgroundIdentifying hydro-meteorological trends is basic for assessing change in climate and river discharge at watershed level. This study examined the long-term trends of rainfall, temperature, and discharge in the annual, monthly and seasonal time scale of Ajora-Woybo watershed in Ethiopia. The data span of rainfall and temperature is between 1990 and 2020 and that of discharge is between 1990 and 2015. Homogeneity test was performed by using Pettit and SNHT tests. Then Mann-Kendall and Sen's slope test for trend analysis and different variability measures were used. ResultsResults indicate that inhomogeneity was detected in annual rainfall data of Angacha and Areka stations. On annual basis, rainfall and discharge exhibited insignificant trends over time while showing a general decreasing pattern. On monthly basis, February and March were found to have significantly decreasing trend for rainfall. During the Kiremt season, rainfall increases and discharge decreases insignificantly. In contrast, maximum, minimum and mean annual temperatures exhibited significant trends with annual increment of 0.04oC, 0.01oC, and 0.025 oC per year respectively. Correlations of discharge with both temperature and rainfall have found to be weak in this study.ConclusionsThis trend, combined with population growth and increasing demand of water for agricultural activities exacerbates competing demands for water resources. Caution is therefore required when it comes to developing appropriate measures for the planning and sustainable development of the water resources in the watershed.
Human-Altered Landscapes and Climate To Predict Human Infectious Disease Hotspots
Authors: Jagadesh Soushieta , Combe Marine , Nacher Mathieu , Gozlan Rodolphe Elie 
Published: December 2021

Abstract
Background

Zoonotic diseases account for more than 70% of emerging infectious diseases. Due to their increasing incidence, and impact on global health and economy, anticipating the emergence of zoonoses is a major public health challenge. Here, we use a biogeographic approach to predict future hotspots and determine the factors influencing disease emergence. We have focused on three viral disease groups of concern: Filoviridae, Coronaviridae, and Henipaviruses.
Methods

We modelled presence-absence data in spatially explicit binomial and zero-inflation binomial logistic regression with and without autoregression. Presence data were extracted from published studies for the three EID groups. Various environmental and demographical rasters were used to explain the distribution of EIDs. True Skill Statistic and deviance parameters were used to compare the accuracy of the different models.
Results

For each group of viruses, we were able to identify and map areas at high risk of disease emergence based on the spatial distribution of disease reservoirs and hosts, as well as data on the distribution of each disease. Common influencing drivers are climatic covariates (minimum temperature and rainfall) and human-induced land modifications.
Conclusions

Using topographical, climatic and previous disease outbreaks reports, we show that we can identify and predict future high-risk areas for disease emergence, such as the current COVID-19 pandemic, and their specific underlying human and environmental drivers. We suggest that such a predictive approach to EIDs should be carefully considered in the development of active surveillance systems for pathogen emergence and epidemics at local and global scales.
Association Between Second Hand Smoke (SHS) Exposure In Pregnant Women And Their Socioeconomic Status (SES) And Its Interaction With Age: A Cross-Sectional Study In Urban Areas
Authors: Wensu Zhou , Xidi Zhu , Zhao Hu , Shaojie Li , Baohua Zheng , Yunhan Yu , Huilan Xu , Xiyue Xiong 
Published: December 2021

Abstract
Background: The high rate of second hand smoke (SHS) exposure puts pregnant women at risk of various harms and identify relevant influence factors are vital for primary prevention. The study aimed to explore the effect of individual socioeconomic status (SES) on exposure to SHS exposure among pregnant women.Methods: A total of 678 non-smoker pregnant women from 14 communities of Hengyang city, Hunan province of China were recruited in this survey. A self-designed structural questionnaire was used to collect variables. Exposure to SHS was defined as self-reported smoking habit of spouse/partner. The individual SES consisted of martial status, educational attainment, employment and per-capita monthly income.Results: There were 238 (35.1%) participants suffered from SHS exposure during pregnancy. After adjusted for confounding variables, compared to the pregnant women who were employed, others were unemployed were more likely to suffer from SHS exposure (OR= 1.697; 95%CI: 1.102-2.614). Similarly, those women who had high school or technical secondary school education level were associated with SHS exposure compared with college or above education attachment (OR: 1.577, 95%CI: 1.020-2.437). The interaction effects between age and junior middle school or below educational attainment (OR: 1.131, 95%CI: 1.015-1.261), unstable marriage (OR: 1.380, 95%CI: 1.075-1.772) on SHS exposure was detected.Conclusion: Exposure to SHS was very common among pregnant women. Those pregnant women of low level of SES should considered as key population to implement public health intervention. Pregnant women of unstable martial status with older age were more likely to SHS exposure.
Predicting Variant-Driven Multi-Wave Pattern of COVID-19 via a Machine Learning Analysis of Spike Protein Mutations
Authors: de Hoffer Adele , Vatani Shahram , Cot Corentin , Cacciapaglia Giacomo , Chiusano Maria Luisa , Cimarelli Andrea , Conventi Francesco , Giannini Antonio , Hohenegger Stefan , Sannino Francesco 
Published: December 2021

Abstract
Never before such a vast amount of data, including genome sequencing, has been collected for any viral pandemic than for the current case of COVID-19. This offers the possibility to trace the virus evolution and to assess the role mutations play in its spread within the population, in real time. To this end, we focused on the Spike protein for its central role in mediating viral outbreak and replication in host cells. Employing the Levenshtein distance on the Spike protein sequences, we designed a machine learning algorithm yielding a temporal clustering of the available dataset. From this, we were able to identify and define emerging persistent variants that are in agreement with known evidences. Our novel algorithm allowed us to define persistent variants as chains that remain stable over time and to highlight emerging variants of epidemiological interest as branching events that occur over time. Hence, we determined the relationship and temporal connection between variants of interest and the ensuing passage to dominance of the current variants of concern. Remarkably, the analysis and the relevant tools introduced in our work serve as an early warning for the emergence of new persistent variants once the associated cluster reaches 1% of the time-binned sequence data. We validated our approach and its effectiveness on the onset of the Alpha variant of concern. We further predict that the recently identified lineage AY.4.2 (‘Delta plus’) is causing a new emerging variant. Comparing our findings with the epidemiological data we demonstrated that each new wave is dominated by a new emerging variant, thus confirming the hypothesis of the existence of a strong correlation between the birth of variants and the pandemic multi-wave temporal pattern. The above allows us to introduce the epidemiology of variants that we described via the Mutation epidemiological Renormalisation Group (MeRG) framework.
Validation of the Arabic Version of the Refugee Health Screener-13 Among Perinatal Syrian Refugees in Lebanon
Authors: Alnaji Nada Adel , Struwe Leeza , Bagenda Danstan 
Published: December 2021

Abstract
Background: Refugee mothers are at a significantly increased risk of suffering from perinatal depression. However, available tools to screen for it often use a western paradigm of mental health, may not be culturally appropriate, and may not account for the background stress experienced by refugees. The objective of this study is to test and validate RHS-13, which was developed by consultation with refugees from different backgrounds, among a group of Syrian refugee mothers living in Beka’s valley in Lebanon. Methodology: The tool was tested on a sample of 103 women. Internal consistency of the items for each subscale was assessed using Cronbach’s alpha. An interitem correlation was performed to examine the most correlated items on the scale. Pearson correlation coefficient was calculated between each subscale and its diagnostic proxy. To find the best fit cut-point between sensitivity and specificity, ROC curves were used. Results: RHS-13 is a reliable and valid tool to detect depression and anxiety among perinatal Syrian mothers (Internal consistency 0.803) (correlation with PHQ: 0.63), (correlation with GAD-7: 0.73). The best fit cut-points were 12, 15, and 25 indicating the severity of symptoms from mild to severe, respectively. Conclusion: RHS-13 is a valid tool among perinatal refugees in Lebanon and can be used by primary care physicians, mental health providers, social workers working with refugees from the Middle East to screen mothers for depression and anxiety.
Machine Learning-Based Early Intrusion Detection System in Industrial LAN Networks Using Honeypots
Authors: Pashaei Abbasgholi , Akbari Mohammad Esmaeil Esmaeil , Lighvan ‪Mina Zolfy , Charmin Asghar 
Published: December 2021

Abstract
The emergence of industrial Cyberinfrastructures, the development of information communication technology in industrial fields, and the remote accessibility of automated Industrial Control Systems (ICS) lead to various cyberattacks on industrial networks and Supervisory Control and Data Acquisition (SCADA) networks. The development of ICS industry-specific cybersecurity mechanisms can reduce the vulnerability of systems to fire, explosion, human accidents, environmental damage, and financial loss. Given that vulnerabilities are the points of penetration into industrial systems, and using these weaknesses, threats are organized, and intrusion into industrial systems occurs. Thus, it is essential to continuously improve the security of the networks of industrial control facilities. Traditional intrusion detection systems have been shown to be sluggish and prone to false positives. As a result, these algorithms' performance and speed must be improved. This paper proposes a novel Honeypot enhanced industrial Early Intrusion Detection System (EIDS) incorporated with Machine Learning (ML) algorithms. The proposed scheme collects data from all sensors of Honeypot and industrial devices from the industrial control network, stores it in the database of EIDS, analyses it using expert ML algorithms. The designed system for early intrusion detection can protect industrial systems against vulnerabilities by alerting the shortest possible time using online data mining in the EIDS database. The results show that the proposed EIDS detects anomalous behavior of the data with a high detection rate, low false positives, and better classification accuracy.
Niraparib-Related Pulmonary Embolism During Ovarian Cancer Therapy
Authors: Wei Qiang , Chen Dong-sheng , Liu Yuan-hua 
Published: December 2021

Abstract
Niraparib, an oral, potent, highly selective poly (ADP-ribose) polymerase (PARP) inhibitor, has promising clinical benefit for maintenance treatment of patients with ovarian cancer in partial response to platinum-based chemotherapy, especially in patients with BRCA mutation. In publicly available niraparib-related treatment adverse events, gastrointestinal disorders and haematological toxicities were most commonly reported with manageable safety profile. Herein, we firstly describe a severe and never reported pulmonary embolism (PE) associated with the use of niraparib in a patient with BRCA mutation advanced high-grade serous ovarian cancer, and received anticoagulant therapy after PE. There have been no reports of PE caused by the use of niraparib in patients with advanced high-grade serous ovarian cancer, knowledge of the occurrence of PE after the use of niraparib may assist other clinicians in managing this rare but potentially serious toxic effect.
Analyzing Wildfires and their Socio-economic Factors in Sardinia
Authors: Serra Laura , Detotto Claudio , Vannini Marco 
Published: December 2021

Abstract
In the last decades, wildfire hazards have increased to dangerous levels, becoming the focus of debate among policymakers both at the local and national levels. This paper proposes a Spatio-temporal approach to study the determinants of fire size distributions taking Sardinia as a case study in the time span 1998-2009. Special attention is devoted to socioeconomic factors of local communities where wildfires occurred. The main finding of this study is that the proportion of public lands in a given municipality tends to mitigate the extent of the burned area. In addition, communities with a higher percentage of people employed in the primary sector are less likely to experience large burned extents.
Mechanisms of allergen-specific B cell tolerance in children with cow’s milk-oral immunotherapy and natural outgrowth of milk allergy
Authors: Satitsuksanoa Pattraporn , de Veen Willem van , Tan Ge , Wirz Oliver , Jansen Kirstin , Sokolowska Milena , Mirer David , Globinska Anna , Boonpiyathad Tadech , Schneider Stephan , Barletta Elena , Spits Hergen , Chang Iris , Boyd Scott , Akdis Cezmi , Nadeau Kari C. , Akdis Mübeccel 
Published: December 2021

Abstract
Antigen-specific memory B cells play a key role in the induction of immune tolerance to food allergens and clinical healing. Here, we characterized the role of allergen-specific B cells in immune tolerance induced by oral allergen-specific immunotherapy (OIT) and natural tolerance that developed in children who spontaneously outgrew cow’s milk allergy. Increased frequency of circulating milk allergen αS1-casein -specific B cells was observed after OIT and natural tolerance (NT). Milk desensitized subjects showed partial acquisition of tolerance phenotypic features induced tolerance, suggesting that desensitization is an earlier stage of tolerance. Immunoregulatory genes such as IL10RA and IGHG4 are significantly upregulated after OIT (desensitized and tolerance) versus NT. Secreted proteins from allergen-specific B cells revealed higher amounts of regulatory cytokines, IL-10 and TGF-β after OIT and NT. Taken together, allergen-specific B cells are essential elements in regulating food allergen tolerance in both OIT-received and naturally-resolved individuals.
MiR-26b-5p Promotes Osteogenesis of Bone Mesenchymal Stem Cells via Suppressing FGF21
Authors: Wang Bin , Li Zhenhui , Mai Caiyuan , Mou Penglin , Pan Lei 
Published: December 2021

Abstract
Introduction: It has been established that miR-26b-5p actively participate in the osteogenic differentiation of bone mesenchymal stem cells (BMSCs), which is of great value in osteoporosis treatment. Database showed that Fibroblast growth factor(FGF)21 is a potential binding site of miR-26b-5p. This study aimed to investigate the molecular osteogenic mechanisms of miR-26b-5p targeting FGF21 in postmenopausal osteoporosis (PMOP). Methods: 5ml of bone marrow was aspirated from the anterior superior iliac spine in 10 PMOP women during bone marrow puncture. BMSCs were used to establish an in vitro cell model, and BMSCs markers were analyzed by flow cytometry. miR-26b-5p and FGF21 were overexpressed for 48h, and then placed in an osteogenic induction medium for osteogenic induction culture, the expression of RNA was detect using RT-qPCR. Cells from miR-26b-5p group were collected on days 7, 14 and 21 of induction for ALP and alizarin red S staining. On day 7 of induction, RT-qPCR was used to measure Runx2, Osterix (Osx), and target gene FGF21 expression levels in each group. The dual-luciferase reporter gene system was used to verify that FGF21 was a direct target of miR-26b-5p. FGF21 was measured by western blotting in the miR-26b-5p overexpression group and in the miR-26b-5p inhibition group. Results: BMSCs were identified according with the antigenic characteristics. miR-26b-5p expression was significantly upregulated after the expression of miR-26b-5p mimics; however, FGF21 expression was downregulated after FGF21 mimics. After overexpression of miR-26b-5p, the alkaline phosphatase activity and nodules of alizarin red S in the culture medium gradually increased as the induction time increased. RT-qPCR showed that the expressions of master osteogenic factors Runx2 and Osx in the BMSC+ osteogenic differentiation medium group was significantly higher than in the BMSC group, the expressions of the factors in the BMSC+ miR-26b-5p overexpression group was significantly higher than in the control group. Target gene FGF21 expression was significantly lower in the BMSC+ osteogenic differentiation medium group than in the BMSC group, and was significantly lower in the BMSC+ miR-26b-5p overexpression group than in the control group. Luciferase reporter assays demonstrated that FGF21 was a direct target of miR-26b-5p. Finally, western blotting analysis showed that FGF21 expression was significantly downregulated in the miR-26b-5p overexpressed group and upregulated in the miR-26b-5p inhibition group. Conclusion: miR-26b-5p can regulate the osteogenic differentiation of BMSCs and participate in PMOP pathogenesis via suppressing FGF21. The present study provides the basis for further studies on PMOP.
Risk Factors of Hepatocellular Carcinoma in Non-alcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis
Authors: Guo Wenpei , Liu Lixin 
Published: December 2021

Abstract
To better identify people at high risk of developing hepatocellular carcinoma (HCC) in non-alcoholic fatty liver disease (NAFLD), we aimed to conduct a systematic review and meta-analysis. Databases (including MEDLINE, EMBASE, Web of Science, the Cochrane Library, ClinicalTrials.gov) were searched up to March 2021. We included studies that reported odds ratios (ORs) or hazard ratios (HRs) and 95% confidence intervals. 24 studies (3 prospective cohort studies, 16 retrospective cohort studies, and 5 case-control studies) of 23 articles, with a total of 1004284 NAFLD cases and 3610 NAFLD-HCC cases, were finally included. The pooled data suggested male, older age, diabetes, low platelet count, and advanced liver fibrosis were important risk factors for HCC in NAFLD. Hypertension, overweight, low albumin, PNPLA3 genotype, dyslipidemia, abnormal liver enzymes were also risk factors worth concern. This study may contribute to the establishment of targeted screening and secondary prevention of HCC in patients with NAFLD.
The Impact of A Web-Based Lifestyle Educational Program (‘Living Better’) Reintervention on Hypertensive Overweight or Obese Patients During The COVID-19 Pandemic.
Authors: Múzquiz-Barberá Pedro , Ruiz-Cortés Marta , Herrero Rocío , Vara Mª Dolores , Escrivá-Martínez Tamara , Carcelén Raquel , Baños Rosa M , Rodilla Enrique , Lisón Juan Francisco 
Published: December 2021

Abstract
‘Living Better’, a self-administered web-based intervention, designed to facilitate lifestyle changes, has already shown positive short and medium-term health benefits in patients with an obesity-hypertension phenotype. The objectives of this study were: (1) to examine the long-term (3-year) evolution of a group of hypertensive overweight or obese patients who had already followed the ‘Living Better’ program; (2) to analyse the effects of completing this program a second time (reintervention) during the COVID-19 pandemic. A quasi-experimental uncontrolled design was used. We recruited 29 individuals from the 105 who had participated in our first study. We assessed and compared their systolic and diastolic blood pressure (SBP and DBP, respectively), Body Mass Index (BMI), eating behavior, and physical activity levels (METs-min/week) at Time 0 (follow-up 12 months after the first intervention), Time 1 (before the reintervention), and Time 2 (post-reintervention). Our results showed significant improvements between Time 1 and Time 2 in terms of SBP [−4.7 (−8.7 to −0.7); P=.017], DBP [−3.5 (−6.2 to −0.8); P=.009], BMI [−0.7 (−1.0 to −0.4); P<.001], emotional eating [−2.8 (−5.1 to −0.5); P=.012], external eating [−1.1 (−2.1 to −0.1); P=.039], and physical activity levels (Time 1: 2308±2266; Time 2: 3203±3314; P=.030, Z=-2,17). Statistical analysis showed no significant differences in SPB, DBP, BMI, and eating behavior between Time 0 and Time 1 (P>.24). Implementation of the ‘Living Better’ program maintained some positive long-term (3-year) health benefits in patients with an obesity-hypertension phenotype. Moreover, a reintervention with this same program during the ongoing COVID-19 pandemic produced significant improvements in blood pressure, BMI, eating behavior, and physical activity levels beyond the 3-year follow-up.Trial Registration: ClinicalTrials.gov NCT04571450; https://clinicaltrials.gov/ct2/show/NCT04571450; First Posted: 01/10/2020.