bluuebunny/crossref_metadata_2025_split huggingface dataset:
Flood Risk Assessment Using Geographic Information System Techniques: In Guba Lafto District, North Wollo Zone, Amhara National Regional State, Ethiopia.
Authors: Ebabu Dinku , Fufa Fikadu , Boyana Asnake , Sisay Getahun 
Published: August 2021

Abstract
Background

In Ethiopia, flooding has long been recognized as one of the major environmental perils that often develop into a disaster affecting the lives and livelihoods of people for many years. Assessing flood causative factors and identifying flood risk prone areas are very crucial to minimize the harmful consequences of the hazard on the socio-economic conditions of the environment.
Result

The causative factors of flooding were developed and converted into raster formats to make them classification-ready. Finally, weighted overlay analysis is used to generate the flood risk areas. Based on key factors, the district was classified in to five-risk classes namely; very low, low, moderate, high and very high-risk Flooding zones. The major finding of the study prevails that, most areas of the district is at low, moderate and high-risk zones accounts 25.58, 61.41 and 12.81% respectively.
Conclusion

The flood prone area is mainly found in the eastern and southern parts of the study area based on their LULC type, soil characteristics and nearness to rivers. The study demonstrates, a significant area of the district is at a high risk for flooding and hence preliminary measures should be taken with the concerned bodies to reverse the resulting adverse impacts on environment.
Role of Alkaline Constituent On Properties And Microstructure of Crushed Rock Based Alkali-Activated Material For Low Strength Applications
Authors: SUWAN Teewara , Jitsangiam Peerapong , THONGCHUA Hemwadee , RATTANASAK Ubolluk , TANGCHIRAPAT Weerachart , MAICHIN Phattharachai 
Published: August 2021

Abstract
A more sustainable and innovative cementitious material would serve green construction for the future and could yield tremendous leverage to the problem of CO2 emissions. Alkali-activated materials (AAMs) could be an alternative binder for relatively low strength construction and rehabilitation as a cement replacement material. The lower strength requirements, e.g., road construction materials, compared to other applications could ease any difficulties with AAM production. For this study, crushed rock (CR) was used as the prime material of a precursor. A laboratory investigation of mechanical properties was performed in conjunction with XRF, XRD, and SEM techniques. The results showed that CR-based AAM with an optimum mixture of 5 M of NaOH concentration, an SS/SH ratio of 1.0, and a liquid-to-binder (L/B) ratio of 0.5 could be used a part of relatively low strength materials. At this ratio, the paste samples cured at room temperature (25 ⁰C) had an early compressive strength of 3.82 MPa, and the paste samples cured at 60 ⁰C had an early compressive strength of 6.45 MPa. The results passed the target compressive strength of cementitious construction materials such as construction block (3.0 MPa–7.0 MPa) and cement-treated base (CTB) for pavement (2.1 MPa–5.5 MPa).
Introduction of Day Case Hip and Knee Replacement Programme at an Inpatient Ward is Safe and May Expedite Shortening of Hospital Stays of Traditional Arthroplasties
Authors: Lovasz Gyorgy , Aros Attila , Toth Ferenc , Faye John Va , Malfa Marco La 
Published: August 2021

Abstract
Purpose: We investigated the safety of primary hip and knee replacements with same day discharge (SDD) and their effect on length of stay (LOS) of traditional inpatient arthroplasties at our elective orthopaedic ward.Methods: 200 patients underwent elective, unilateral primary day case total hip (THA, n=94), total knee (TKA, n=60) and unicondylar knee replacements (UKA, n=46). SDD rates, reasons for failure to discharge, readmission, complication and satisfaction rates were recorded at 6-week follow up. Changes in LOS of inpatient arthroplasties (n=6518) and rate of patients discharged with only one night stay treated at the same ward were tracked from 1 year prior to introduction of day case arthroplasty (DCA) program to the end of observation period.Results: 166 patients (83%) had SDD while 34 (17%) needed overnight stay. Main reasons for failure to discharge were lack of confidence (4%) fainting due to single vasovagal episode (3.5 %), urine retention (3 %) and late resolution of spinal anaesthesia (3%). 5 patients (3%) had readmission within 6 weeks, including 1 (0.6%) with a partial and treated pulmonary embolism. 163 patients were satisfied with SDD (98%). After launching the DCA program, average LOS of inpatients was reduced from 2.3 days to 1.8 days and rate of discharge with only 1-night stay increased from 12% to around 60%. Conclusion: Introduction of routine SDD hip and knee arthroplasty programme at an elective orthopaedic centre is safe and also may confer wider benefits leading to shorter inpatient hospital stays.
Variability In Non-HDL-C and Lp(a) Affect The Neutrophil To Lymphocyte Ratio In Patients Undergoing Elective Percutaneous Coronary Intervention
Authors: Zhang Sisi , Li Duanbin , Xie Daqi , Xu Tian , Hu Wenyi , Lin Maoning , Li Ya , Zhang Wenbin , Chen Zhaoyang 
Published: August 2021

Abstract
Objective: To evaluate the influence of the variability of Lipoprotein a (Lp(a)) and Non-high-density lipoprotein cholesterol (non-HDL-C) on the neutrophil to lymphocyte ratio (NLR) during the follow-up period in patients with coronary heart disease (CHD) after elective coronary intervention.Methods: A total of 3320 consecutive patients with CHD after percutaneous coronary intervention (PCI) in a multi-center from January 2010 to January 2019 were enrolled. The baseline demographic data were Analyzed, and the NLR levels in tertile groups according to the baseline Lp(a) and non-HDL-C levels were compared. Linear regression is used to analyze the association of the variation rate of Lp(a) and non-HDL-C with NLR; and subgroup analysis of the relevant factors were found. All verifications are verified by SD, CV, and VIM triple methods.Results: The NLR is significantly different among tertile Lp(a) variation groups in SD, CV and VIM methods, which is consistent in non-HDL-C variation rate except SD method. Multiple linear regression indicated that Lp(a) variability, age, gender, BMI, hypertension, eGFR were related to NLR, which was verified in age, gender, hypertension and non-diabetic subgroups. Non-HDL-C variability, age, gender, BMI, eGFR, statins, follow-up HDL-C and non-HDL-C were also related to NLR, and established in the above subgroups.Conclusion: The variation rate of Lp(a) and non-HDL-C are independent positive predictors of NLR after elective PCI.
Multiple Walker Breakdowns in Magnetic Multilayers
Authors: Moon Joon , Yoon Jaesung , Kim Kitae , Lee Seong-Hyub , Kim Dae-Yun , Choe Sug-Bong 
Published: August 2021

Abstract
Herein, we report an exotic domain-wall dynamics showing double Walker breakdowns in magnetic multilayer films composed of two magnetic layers. Such multiple Walker breakdowns are attributed to the internal magnetic dipole field, which is antisymmetric on the domain walls of the lower and upper magnetic layers. A micromagnetic simulation shows four phases of the domain-wall dynamics, which result in a phase diagram with the phase boundaries of the double Walker breakdown fields. Such double Walker breakdowns lead to two minima in the variation of the domain-wall velocity, as often observed experimentally.
Prediction Model for Potential Depression using Sex and Age-reflected qEEG Biomarkers.
Authors: Kim Taehyoung , Park Ukeob , Kang Seung Wan 
Published: August 2021

Abstract
Depression is the mental disorder that prevalent in modern society, causing many people to suffer or even commit suicide. Psychiatrists and psychologists typically diagnose depression using representative tests such as the Beck’s Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HDRS) in conjunction with patient consultations. Traditional tests, however, are time consuming, can be trained on patients, and entail a lot of clinician subjectivity. In the present study, we trained the machine learning models using sex and age-reflected z-score values of QEEG indicators based on data from Data Center for Korean EEG with 116 potential depression subjects and 80 healthy controls. The classification model distinguished potential depression groups and normal groups with a test accuracy of up to 92.31% and a 10-fold cross validation loss of 0.13. This performance proposes a model with z-score QEEG metrics considering sex and age as an objective and a reliable method for detecting potential depression.
Comparing The Models SARIMA, ANFIS And ANFIS-DE In Forecasting Monthly Evapotranspiration Rates Under Heterogeneous Climatic Conditions
Authors: Aghelpour Pouya , Varshavian Vahid , Hamedi Zahra 
Published: August 2021

Abstract
Reference crop evapotranspiration (ET0) is one of the most important hydro-climatological components which directly affects agricultural productions, and its forecasting is critical for water managers and irrigation planners. In this study, adaptive neuro-fuzzy inference system (ANFIS) model has been hybridized by differential evolution (DE) optimization algorithm as a novel approach to forecast monthly ET0. Furthermore, this model has been compared with the classic stochastic time series model. For this, the ET0 rates were calculated on monthly scale during 1995-2018, based on FAO-56 Penman-Monteith equation and meteorological data including: minimum air temperature, maximum air temperature, mean air temperature, minimum relative humidity, maximum relative humidity & sunshine duration. The investigation was performed on 6 stations in different climates of Iran, including: Bandar Anzali & Ramsar (per-humid), Gharakhil (sub-humid), Shiraz (semi-arid), Ahwaz (arid) and Yazd (extra-arid). The models’ performances were evaluated by the criteria percent bias (PB), root mean squared error (RMSE), normalized RMSE (NRMSE) and Nash-Sutcliff (NS) coefficient. Surveys confirm the high capability of the hybrid ANFIS-DE model in monthly ET0 forecasting; so that the DE algorithm was able to improve the accuracy of ANFIS, by 16% on average. Seasonal autoregressive integrated moving average (SARIMA) was the most suitable pattern among the time series stochastic models, and superior compared to its other competitors. Consequently, due to the simplicity and parsimony, the SARIMA was suggested more appropriate for monthly ET0 forecasting in all the climates. Comparison between the different climates confirmed that the climate type significantly affects the forecasting accuracies: it’s revealed that all the models work better in extra-arid, arid and semi-arid climates, than the humid and per-humid areas.
Photoprotective Effects of Sargassum Thunbergii on Ultraviolet B-Induced Mouse L929 Fibroblasts and Zebrafish
Authors: Chen Bei , Chen Honghong , Qu Haidong , Qiao Kun , Xu Min , Wu Jingna , Su Yongchang , Shi Yan , Liu Zhiyu , Wang Qin 
Published: August 2021

Abstract
Background: Chronic exposure to ultraviolet B (UVB) causes a series of adverse skin reactions, such as erythema, sunburn, photoaging, and cancer, by altering signaling pathways related to inflammation, oxidative stress, and DNA damage. Marine algae have abundant amounts and varieties of bioactive compounds that possess antioxidant and anti-inflammatory properties. Thus, the objective of this study was to investigate the photoprotective effects of an ethanol extract of Sargassum thunbergii.Methods: Sargassum thunbergii phenolic-rich extract (STPE) was prepared, and its activity against UVB damage was evaluated using L929 fibroblast cells and zebrafish. STPE was extracted and purified by 40% ethanol and macroporous resin XDA-7. Reactive oxygen species (ROS) and antioxidant markers, such as superoxide dismutase (SOD), catalase (CAT) activities, and malondialdehyde (MDA) content were analyzed. The effect of STPE on UVB-induced inflammation was determined by inflammatory cytokine gene and protein expression. The expression of signaling molecules in the Nuclear Factor KappaB (NF-κB) pathway was determined by western blotting. DNA condensation was analyzed and visualized by Hoechst 33342 staining. In vivo evaluation was performed by tail fin area and ROS measurement using the zebrafish model. Results: The total polyphenol content of STPE was 72%. STPE reduced ROS content in L929 cells, improved SOD and CAT activities, and significantly reduced MDA content, thereby effectively alleviating UVB radiation-induced oxidative damage. STPE inhibited the mRNA and protein expression of TNF-α, IL-6, and IL-1α. STPE reversed DNA condensation at concentrations of 20 and 40 μg/mL compared with the UVB control. Moreover, STPE inhibited NF-κB signaling pathway activation and alleviated DNA agglutination in L929 cells after UVB irradiation. Additionally, 1.67 μg/mL STPE significantly increased the tail fin area in zebrafish, and 0.8–1.6 μg/mL STPE effectively eliminated excessive ROS after UVB radiation. Conclusions: STPE inhibited UVB-induced oxidative stress, inflammatory cytokine expression, and DNA condensation via downregulation of the NF-κB signaling pathway, suggesting that it prevents UVB-induced cell damage and photoaging, and has potential for clinical development for skin disease treatment.
Longitudinal Observational Study of the Effect of Social Isolation on Quality of Life in a Vulnerable Population.
Authors: Silva Andreia Gonçalves Rossi da Silva , Lorena Fernanda Beraldo , Rocha Marina Monzani da , Ribeiro Miriam Oliveira 
Published: August 2021

Abstract
Background: The goal of the present study was to assess the impact of measures imposed by the government due to the pandemic of COVID-19 to guarantee social isolation in the quality of life of people in a situation of social vulnerability. Methods: To this end, we interviewed 63 adults, aged 18 to 59 years, living in a low financial income, 30 days before and 90 days after the start of social isolation and restrictions imposed by the government, using the WHOQOL-bref. Results: All domains of the WHOQOL-bref were negatively affected showing a worsening of the quality of life in the individual evaluated. Conclusion: The results suggest that the isolation period imposed by the pandemic COVID-19 led to a significant reduction in the indicators of quality of life of the population living in a social vulnerability situation.
A Visual Fingerprint Update Algorithm Based On Crowdsourced Localization And Deep Learning For Smart IoV
Authors: Yin Xiliang , Ma Lin , Sun Ping 
Published: August 2021

Abstract
Recently, the deep learning and vision-based technologies has shown their great significance for the prospective development of smart Internet of Vehicle (IoV). When the smart vehicle enters the indoor parking of a shopping mall, the vision-based localization technology can provide reliable parking service. As known, the vision-based technique relies on a visual map without a change in the position of the reference object. Although, some researchers have proposed a few automatic visual fingerprinting (AVF) methods, which are aiming at reducing the cost of building the visual map database. However, the AVF method still costs too much under such situation, since it is impossible to determine the specific location of the displaced object. In view of the smart IoV and the development of deep learning approach, we propose a crowdsourcing and deep learning based algorithm for solving the problem in this paper. Firstly, we propose a Region-based Fully Convolutional Network (R-FCN) based method with the feedback of crowdsourced images to locate the specific displaced object in the visual map database. Secondly, we propose a method based on quadratic programming (QP) for solving the translation vector of the displaced objects, which finally solves the problem of updating the visual map database. The simulation results show that our method can provide a higher detection sensitivity and correction accuracy as well as the relocation results. It means that our proposed algorithm outperforms the compared one, which is verified by both synthetic and real data simulation.
Isolation, characterization, anticancer and antioxidant activities of 2-methoxy mucic acid from Rhizophora apiculata: An in vitro and in silico studies
Authors: Parthiban A. , V Sachithanandam , Lalitha P. , Muthukumaran Jayaraman , Jain Monika , Misra Ranjita , Sri R. , Purvaja Ramachandran , Ramesh Ramachandran 
Published: August 2021

Abstract
In this present study, the sugar based bioactive molecule, 2-methoxy mucic acid ( 4) was isolated for the first time from the methanolic extract from the leaves of Rhizophora apiculata . The structure of compound was well characterized by different spectroscopic analysis, including FT-IR, 1 H, 13 C NMR spectroscopy and HRMS. Anticancer activity of 2-methoxy mucic acid ( 4 ) was evaluated against HeLa and MDA-MB231 cancer cell lines and they displayed promising activity with the IC 50 values of 22.88283±0.72 µg/ml in HeLa and 2.91925±0.52 µg/ml in case of MDA-MB231, respectively. The antioxidant property of 2-methoxy mucic acid ( 4 ) was found to be (IC 50 ) 21.361±0.41 µg/ml. Apart from in vitro studies, we also performed extensive in silico studies (molecular docking and molecular dynamics simulation) on four key anti-apoptotic Bcl-2 family members (Bcl-2, Bcl-w, Bcl-xL and Bcl-B) towards 2-methoxy mucic acid ( 4) and the results revealed that this molecule showed higher binding affinity towards Bcl-B protein ( ΔG = -5.8 kcal/mol) and the structural stability of Bcl-B protein was significantly improved upon binding of this molecule. The present study affords key insights about the importance of 2-methoxy mucic acid ( 4 ), and thus leads to open the therapeutic route for anticancer drug discovery process.
TRP channel expression correlates with the epithelial-mesenchymal transition and high-risk endometrial carcinoma.
Authors: Eynde Charlotte Van den , De Clercq Katrien , Bree Rieta Van , Annibali Daniela , Amant Frédéric , Han Sileny , Nieuwenhuysen Els Van , Baert Thaïs , Peeraer Karen , Voets Thomas , Gorp Toon Van , Vriens Joris 
Published: August 2021

Abstract
Transient Receptor Potential (TRP) channels excel in cellular sensing as they allow rapid ion influx across the plasma membrane in response to a variety of extracellular cues. Recently, a distinct TRP expression signature was observed in stromal cells (ESC) and epithelial cells (EEC) of the endometrium, a tissue in which cell phenotypic plasticity is essential for normal functioning. However, it is unknown whether TRP channel expression is subject to the phenotypic switching that occurs during epithelial to mesenchymal transition (EMT) and mesenchymal to epithelial transition (MET), and whether TRP channel expression is associated with aggressive phenotypes in endometrial cancer (EC). Here, we induced EMT and MET in vitro using in primary EEC and ESC, respectively, and analyzed expression and functionality of TRP channels using RT-qPCR and intracellular Ca2+ imaging. The outcome of these experiments showed a strong association between TRPV2 and TRPC1 expression and the mesenchymal phenotype, whereas TRPM4 expression correlated with the epithelial phenotype. In line herewith, increased TRPV2 and TRPC1 expression levels were observed in both primary and metastatic EC biopsies and in primary EC cells with a high EMT status, indicating an association with an aggressive tumor phenotype. Remarkably, TRPV2 expression in primary EC biopsies was associated with tumor invasiveness and cancer stage. In contrast, increased TRPM4 expression was observed in EC biopsies with a low EMT status and less aggressive tumor phenotypes. Taken together, this dataset demonstrated for the first time that TRP channel expression is strongly linked to cellular phenotypes of the endometrium, and that phenotypic transitions caused by either experimental manipulation or malignancy could alter this expression in a predictable manner. These results implicate that TRP channels are viable biomarkers to identify high-risk EC, and potential targets for EC treatment.
The Value of Dual-Source CT in the Diagnosis of Anomalous Origin of Pulmonary Artery
Authors: Feng Yusen , Ma Pengcheng , Wang Lijuan , Sun Guifang , Liu Bin , Wang Liqiong , Li Jing , Dong Xuemin , Liu Hui 
Published: August 2021

Abstract
Objective: This study is designed to explore the dual-source computed tomography (DSCT) imaging manifestations of the origin of three rare pulmonary artery abnormalities, and to improve the understanding and diagnosis of the disease.Methods: Collected 30 cases of patients diagnosed by DSCT with pulmonary artery abnormal origins, and retrospectively analyzed their imaging data and postoperative pathological data.Results: Among the 30 patients with abnormal pulmonary artery origin, 16 patients were with unilateral pulmonary artery absence (UAPA), 8 patients were with anomalous origin of unilateral pulmonary artery (AOPA), and 6 patients were left pulmonary artery suspension (LPAS). The diagnosis rate of DSCT is significantly higher than that of echocardiography. The results of DSCT imaging showed that the inner diameter of the ascending aorta, the aortic arch and the descending aorta of UAPA patients were significantly larger than those of LPAS patients (P<0.05). Compared with AOPA patients, the left pulmonary artery diameter, the ratio of the left main pulmonary artery diameter to the main pulmonary artery diameter, and ratio of the left main pulmonary artery diameter to the right main pulmonary artery diameter were significantly increased in UAPA patients (P<0.05). There was no significant difference in the ratio of the inner diameter of the ascending aorta to the descending aorta in patients with UAPA, AOPA and LPAS. Compared with UAPA patients, AOPA patients had no significant changes in the inner diameter of the main pulmonary artery, the inner diameter of the right main pulmonary artery, and the ratio of the inner diameter of the right main pulmonary artery to the main pulmonary artery.Conclusion: DSCT can be used to diagnose the origin of pulmonary artery abnormalities and distinguish its types.
Gamma-glutamyl Transferase Levels are Associated with the Occurrence of Post-stroke Cognitive Impairment: A Multicenter Cohort Study
Authors: Li Siqi , Liao Xiaoling , Pan Yuesong , Xiang Xianglong , Zhang Yumei 
Published: August 2021

Abstract
Background: Gamma-glutamyl transferase (GGT) can maintain the physiological concentration of glutathione in cells, and protect them from oxidative stress-induced damage. However, its role in post-stroke cognitive impairment (PSCI) remains unknown. Here, we explored the impact of serum biomarker-GGT on PSCI. Methods: We conducted a prospective, multicenter cohort study. 1, 957 participants who suffered a stroke and measured baseline GGT were enrolled from the Impairment of Cognition and Sleep (ICONS) study of the China National Stroke Registry-3 (CNSR-3). They were categorized into four groups according to the quartiles of baseline GGT levels. Cognitive function was assessed by using the Montreal Cognitive Assessment (MoCA) approach. The multiple logistic regression models were performed to evaluate the relationship between GGT and PSCI at 3 months follow-up.Results: Among 1,957 participants, 671 (34.29%) patients suffered PSCI at 3 months follow-up. The highest GGT level quartile group exhibited a lower risk of PSCI in the fully adjusted model [OR (95% CI): 0.69 (0.50-0.96)], relative to the lowest group. Moreover, incorporation of GGT to the conventional model resulted in a slight improvement in PSCI outcomes after 3 months (NRI: 12.00%; IDI: 0.30%).Conclusions: Our findings demonstrated that serum GGT level was inversely associated with the risk of PSCI, with extremely low levels acting as a risk factor for PSCI.