Miracle-dz/UniFAR-FTUs huggingface dataset:
Coastal and orographic effects on extreme precipitation revealed by weather radar observations

Abstract. The yearly exceedance probability of extreme precipitation of multiple durations is crucial for infrastructure design, risk management and policymaking. Local extremes emerge from the interaction of weather systems with local terrain features such as coastlines and orography, however multi-duration extremes do not follow exactly the patterns of cumulative precipitation and are still not well understood. High-resolution information from weather radars could help us better quantifying their patterns, but traditional extreme-value analyses based on radar records were found too inaccurate for quantifying the extreme intensities for impact studies. Here, we propose a novel methodology for extreme precipitation frequency analysis based on relatively short weather radar records, and we use it to investigate coastal and orographic effects on extreme precipitation of durations between 10 minutes and 24 hours. Combining 11 years of radar data with 10-minute rain gauge data in the southeastern Mediterranean, we obtain estimates of the 1 in 100 years intensities with ~22 % standard error, which is lower than those obtained using traditional approaches on rain gauge data. We identify three distinct regimes, which respond differently to coastal and orographic forcing: short durations (~10 minutes), related to peak convective rain rates; hourly durations (~1 hours), related to the yield of individual convective cells; and long durations (~6–24 hours), related to the accumulation of multiple convective cells and to stratiform processes. At short and hourly durations, extreme return levels peak at the coastline, while at longer durations they peak corresponding to the orographic barriers. The distributions tail heaviness is rather uniform above the sea and rapidly changes in presence of orography, with opposing directions at short (decreasing tail heaviness, with a peak at hourly durations) and long (increasing) durations. These distinct effects suggest that short-scale hazards such as urban pluvial floods could be more of concern for the coastal regions, while longer-scale hazards such as flash floods could be more relevant in mountainous areas.
Assessment of and Adaptation to Beach Erosion in Islands: An Integrated Approach

Island beaches, which form significant natural and economic resources, are under increasing erosion risk due to sea level rise. The present contribution proposes an integrated methodological framework for the evaluation of the socio-economic significance of beaches and their vulnerability to sea level rise and the design of effective adaptation measures. The approach comprises four steps: (i) beach ranking on the basis of their socio-economic significance and vulnerability in order to prioritize adaptation responses; (ii) monitoring of the hydro- and morphodynamic regime of the most highly ranking beaches using field observations and modelling, (iii) assessment of the sediment volumes required for beach nourishment under different scenarios of sea level rise and nourishment designs; (iv) evaluation of the marine aggregate potential of the adjacent areas that can be used for beach nourishment. The framework was applied to the Greek island of Chios, which has many beaches that are already under erosion. The methodology was shown to provide a structured approach for the assessment and response to erosion of the most vulnerable beach.
Online cultural backlash? sexism and political user-generated content

ABSTRACT Prior research highlights substantial beneficial effects of political user-generated content (UGC) in society, such as diversifying political viewpoints, mobilizing the electorate, and fostering citizens’ civic engagement. However, important user asymmetries exist when creating political content. Gender, age, media uses, and skills gaps have been identified as key variables predicting UGC. This study addressed the political UGC gender gap from a political perspective. We build on previous theory about feminist media studies, political polarization, and cultural backlash theory to disentangle whether hostile sexism predicts UGC creation. Drawing on online survey data from four well-established democracies, we find that those individuals holding hostile sexist views are more likely to generate political content online. Further implications for democracy and the role of women in the digital sphere are discussed.
Brain Developmental Differences Between Preterm-born Twins and Singletons: A Multi-modal MRI Study

276 ©Copyright 2021 by Ege University Faculty of Medicine, Department of Pediatrics and Ege Children’s Foundation The Journal of Pediatric Research, published by Galenos Publishing House. Ad dress for Cor res pon den ce Dan Wu, Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China Phone: +86-15825508242 E-mail: danwu.bme@zju.edu. cn ORCID: orcid.org/0000-0002-9303-5821 Re cei ved: 09.11. 2020 Ac cep ted: 22.02. 202
In-Liquid Plasma: A Novel Tool for Nanofabrication

This chapter focuses on synthesising nanomaterials using an emerging technology called In-Liquid Plasma, i.e., plasma generation inside a liquid. The generation of various reactive species and energetic electrons in the plasma zone plays a crucial role in synthesising nanomaterials. They act as the reducing agent. Non-requirement of the toxic chemical reducing agents make In-Liquid Plasma an environmentally friendly green approach to fabricate nanomaterials. This method enables the simultaneous synthesis of nanoparticles from the electrode material and liquid precursor, which gains much importance on the single-step synthesis of nanocomposites. Moreover, it gives flexibility in controlling both the physical and chemical parameters, which provide fine-tuning required for the size, shape and composition of nanomaterials.
An Attempt at a Theoretical Explanation of Violent Islamist Radicalization in Spain

This paper is the first of a series of papers which aims to address Islamist violent radicalization from different angles: the nature of violent radicalization in the context of Spain, a comparison between European, North American and Indian violent radicalization, the need to refine territorial radicalization indexes within the context of preventing violent radicalization and the relation between Islamist violent radicalization and other forms of violent radicalization in Europe. This set of articles builds upon the general theoretical framework set by the author on two previous works (García, 2018; 2019). These works are framed under the known conception of three layers of micro, meso and macro factors contributing to violent radicalization processes (McCauley, Moskalenko, 2017). The paper starts by defining Islamist violent radicalization, then it explores different theoretical explanations and finally proposes an explanatory hypothesis that is tested against, on the one hand, data proceeding from different institutional sources in Spain and, on the other, some initial conversations which will become life stories and a in depth interviews to Spanish security officials and people who whether radicalized and regretted or lived very close to others that did it.
The Evolving Communicative Value of Popular Music: Music Is Interpersonal Communication in the Age of Digital Media

ABSTRACT The current research sought to examine how consuming music on streaming platforms, such as Spotify, and other digital media acts as a form of interpersonal communication. This survey research, which is based on a sample (n = 401) recruited through Amazon’s Mechanical Turk (MTurk) human intelligence marketplace, revealed that once consumption rates surpass casual listening (more than 2 hours per day), popular music offers remarkably comparable communicative value for listeners. Results clarified that regardless of music genre preferences, relatively frequent listeners consistently call upon music for parasocial interaction, to inform their identity, and as a means of sharing with others.
Robust Graph Factorization for Multivariate Electricity Consumption Series Clustering

Multivariate electricity consumption series clustering can reflect trends of power consumption changes in the past time period, which can provide reliable guidance for electricity production. However, there are some abnormal series in the past multivariate electricity consumption series data, while outliers will affect the discovery of electricity consumption trends in different time periods. To address this problem, we propose a robust graph factorization model for multivariate electricity consumption clustering (RGF-MEC), which performs graph factorization and outlier discovery simultaneously. RGF-MEC first obtains a similarity graph by calculating distance among multivariate electricity consumption series data and then performs robust matrix factorization on the similarity graph. Meanwhile, the similarity graph is decomposed into a class-related embedding and a spectral embedding, where the class-related embedding directly reveals the final clustering results. Experimental results on realistic multivariate time-series datasets and multivariate electricity consumption series datasets demonstrate effectiveness of the proposed RGF-MEC model.
MQTT based Monitoring and Management System for Distributed Generation Units

Cerca de 80% de toda a geração distribuída instalada no Brasil é composta de sistemas de até 75 kWp. No entanto, o medidor bidirecional instalado nessas unidades mede apenas a diferença instantânea entre o que é gerado e o que é consumido, deixando o consumidor impossibilitado de acompanhar o consumo real da unidade. Vendo isso, esse trabalho propõe um sistema de monitoramento para unidades com GD. Além de medir a energia gerada e consumida, o sistema realiza ainda o acionamento remoto de cargas, possibilitando assim um bom gerenciamento energético. O sistema de monitoramento é baseado no microcontrolador ESP32, que realiza o envio dos dados via protocolo MQTT. Os dados coletados são exibidos em uma interface web, desenvolvida utilizando o framework Ruby on Rails, e armazenados em um banco de dados PostgreSQL. Resultados experimentais são apresentados a fim de avaliar a precisão e operabilidade do sistema proposto.
Leaching of coal by trioxoboric acid for coal cleaning

Trioxoboric acid (H3BO3) is a white weakly soluble acid produced from boron minerals. This acid type was used for the first time in this study for ash and sulfur removal from coal. Ash and sulfur are the most important impurities in the content of coal and have significant effects on environmental pollution. It is possible to remove ash and sulfur by H3BO3 leaching. However, there have not been enough studies in this area and the performance of trioxoboric acid has not been fully demonstrated. In this study, leaching performance of trioxoboric acid and other strong acids (hydrofluoric, hydrochloric and sulfuric acids) has been demonstrated. Trioxoboric acid removed ash and sulfur from coal by 41.18% and 32.16%, respectively. This acid can compete especially with hydrochloric and sulfuric acid in sulfur removal. However, hydrofluoric acid provided the best results in ash and sulfur removal.
BUS TRAVEL TIME PREDICTION USING SUPPORT VECTOR MACHINES FOR HIGH VARIANCE CONDITIONS

Real-time bus travel time prediction has been an interesting problem since past decade, especially in India. Popular methods for travel time prediction include time series analysis, regression methods, Kalman filter method and Artificial Neural Network (ANN) method. Reported studies using these methods did not consider the high variance situations arising from the varying traffic and weather conditions, which is very common under heterogeneous and lane-less traffic conditions such as the one in India. The aim of the present study is to analyse the variance in bus travel time and predict the travel time accurately under such conditions. Literature shows that Support Vector Machines (SVM) technique is capable of performing well under such conditions and hence is used in this study. In the present study, nu-Support Vector Regression (SVR) using linear kernel function was selected. Two models were developed, namely spatial SVM and temporal SVM, to predict bus travel time. It was observed that in high mean and variance sections, temporal models are performing better than spatial. An algorithm to dynamically choose between the spatial and temporal SVM models, based on the current travel time, was also developed. The unique features of the present study are the traffic system under consideration having high variability and the variables used as input for prediction being obtained from Global Positioning System (GPS) units alone. The adopted scheme was implemented using data collected from GPS fitted public transport buses in Chennai (India). The performance of the proposed method was compared with available methods that were reported under similar traffic conditions and the results showed a clear improvement.
Determination of Atorvastatin with Voltammetric Sensors Based on Nanomaterials

This paper presents an accurate and fast electrochemical method for atorvastatin determination in pharmaceutical products. Two screen-printed sensors, one—carbon based (SPCE) and one based on carbon nanotubes and gold nanoparticles (AuNP-CNT/SPCE) were used during the electrochemical analyses. At all experimental stages, cyclic voltammetry was employed, both for the characterization of the sensors and their electrochemical behavior, and for quantitative determinations. AuNP-CNT/SPCE has showed an extended active area, higher intensity peaks, better reversibility and lower background current than the unmodified sensor. For atorvastatin quantification, a calibration curve has been developed within the 1.2–606.25 µM concentration range. A linearity relation between the current of the anodic peak and concentration has been obtained in the range 1.2–53.33 µMfor both sensors. With the AuNP-CNT/SPCE sensor, low values of limit of detection, LOD (1.92 × 10−7 M) and limit of quantification, LOQ (6.39 × 10−7 M) have been obtained, which demonstrates the feasibility of the method of determining atorvastatin from real samples. Atorvastatin amount has been successfully determined from pharmaceutical products using AuNP-CNT/SPCE. The results were similar to the manufacturer’s specifications regarding the dosage per tablet and to the concentrations obtained by applying the FTIR spectrometric method.
Influence of Clay on Solute Transport in Saturated Homogeneous Mixed Media

In this study, four homogeneous porous media (HPM1-HPM4), consisting of distinct proportions of sand-sized and clay-sized solid beads, were prepared and used as single fracture infills. Flow and nonreactive solute transport experiments in HPM1-HPM4 under three flow rates were conducted, and the measured breakthrough curves (BTCs) were quantified using conventional advection-dispersion equation (ADE), mobile-immobile model (MIM), and continuous time random walk (CTRW) model with truncated power law transition time distribution. The measured BTCs showed stronger non-Fickian behaviour in HPM2-HPM4 (which had clay) than in HPM1 (which had no clay), implying that clay enhanced the non-Fickian transport. As the fraction of clay increased, the global error of ADE fits also increased, affirming the inefficiency of ADE in capturing the clay-induced non-Fickian behaviour. MIM and CTRW performed better in capturing the non-Fickian behaviour. Nonetheless, CTRW’s performance was robust. 12.5% and 25% of clay in HPM2 and HPM3, respectively, decreased the flowing fluid region and increased the solute exchange rate between the flowing and stagnant fluid regions in MIM. For CTRW, the power law exponent ( β CTRW ) values were 1.96, 1.75, and 1.63 in HPM1-HPM3, respectively, implying enhanced non-Fickian behaviour. However, for HPM4, whose clay fraction was 50%, the β CTRW value was 1.87, implying a deviation in the trend of non-Fickian enhancement with increasing clay fraction. This deviation indicated that non-Fickian behaviour enhancement depended on the fraction of clay present. Moreover, increasing flow rate enhanced the non-Fickian transport based on β CTRW .
Elevational range size patterns of vascular plants in the Himalaya contradict Rapoport's rule

Elevational range size patterns reflect ecological and evolutionary processes, but they are also affected by geometric constraints. The confounding effect of these constraints led to an ongoing controversy about the elevational Rapoport's rule, which postulates a positive association between the range size and elevation, and about the plausibility of the climate variability hypotheses as its causal explanation. Here we used an advanced null modelling approach to disentangle the interacting effects of geometric constraints and species richness gradients on the elevational range size of vascular plants. We collected extensive field data on elevational distribution for 728 vascular plant species occurring in the Ladakh region, Western Himalaya. We supplied these regional data with subcontinental elevational ranges extracted from the literature. Moreover, we used in situ measured temperatures to quantify temperature variability along an elevational gradient to test the climate variability hypothesis. Observed range size patterns were sensitive to methods used to quantify the average range size. Range truncation disproportionately affected regional ranges of low‐elevation species and resulted in spurious support of elevational Rapoport's rule. However, when the confounding effects of domain boundaries and richness gradient were controlled, our null models revealed only slight deviations from the random expectations of elevational range size patterns, contrasting with the prediction of the Rapoport's rule. In line with these findings, seasonal and diurnal temperature variability did not change with elevation. Synthesis. Geometric constraints combined with underlying species richness gradient create range size patterns seemingly supporting Rapoport's elevational rule. However, null models accounting for these effects indicate that the range size of vascular plants in the Himalayas does not increase with elevation. Given the universality of the geometric constraints and species richness gradient, our results suggest that these confounding factors must be controlled when testing Rapoport's rule. The null model approach described here provides an efficient tool to do that.
Review of the Hydrogen Permeability of the Liner Material of Type IV On-Board Hydrogen Storage Tank

The hydrogen storage tank is a key parameter of the hydrogen storage system in hydrogen fuel cell vehicles (HFCVs), as its safety determines the commercialization of HFCVs. Compared with other types, the type IV hydrogen storage tank which consists of a polymer liner has the advantages of low cost, lightweight, and low storage energy consumption, but meanwhile, higher hydrogen permeability. A detailed review of the existing research on hydrogen permeability of the liner material of type IV hydrogen storage tanks can improve the understanding of the hydrogen permeation mechanism and provide references for following-up researchers and research on the safety of HFCVs. The process of hydrogen permeation and test methods are firstly discussed in detail. This paper then analyzes the factors that affect the process of hydrogen permeation and the barrier mechanism of the liner material and summarizes the prediction models of gas permeation. In addition to the above analysis and comments, future research on the permeability of the liner material of the type IV hydrogen storage tank is prospected.
Smart Resource Allocation Scheme for Mimo Microstrip Wireless Communication

In this paper we have proposed a minimum noise shortest path determination scheme considering the amount of delay and energy consumed with respect to each path. An artificial neural network has been employed for classifying the minimum noise shortest path from the source to destination. A simulation work has been carried out with respect to different Signal-to-Noise (SNR) values in a thirty-node network with one Internet node and 100 bits of message length. Also, a comparison has been made between plain Dynamic Source Routing (DSR) and integrating the minimum noise shortest path algorithm with DSR. The simulation results show that with the increase of SNR, noise constraint in the path reduces, and data throughput increases.
Comparative Analysis of the Mutational Profile in HBV-Related and Non-HBV-Related Hepatocellular Carcinoma

BackgroundHepatocellular carcinoma (HCC) is the sixth most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide.The distinct molecular mechanism that regulates cancer progression associated with HBV-related HCC are still unclear.MethodsThe study population included all HCC patients from TCGA lihc_firehose. Mutational signatures of HBV-related HCC samples were calculated with MuSiCa Online website tools. Overall Survival (OS) and disease-free survival（DFS) were estimated according to the log rank in Cox proportional model.Analysis of differential expressed genes was finished with R (version 3.6.3) package DESeq2.Results AXIN1 and CACNA2D1 were significantly higher tested in patients with HBV-related HCC.Mutational signature 26,6 and 16 were detected in HBV-related HCC.TMB of non-HBV-related HCC was significantly higher than HBV-related . Mutations of TTN, MUC16, RYR2, DNAH7 and ARID2 had significant effects on OS in HBV-related but were not associated with prognosis of non-HBV-related HCC.ConclusionWnt/β-catenin and cell cycle signaling pathway may be potentially targets for treatment of HBV-related HCC.Mutation genes of TTN, MUC16, RYR2, DNAH7 and ARID2 may be used as biomarkers of the clinical prognosis and a useful strategy for management of HBV-related HCC.
Comparative Study on Caesarian and Normal Delivery Childbirth in Bangladesh

The study is concerned with caesarian and normal delivery and its effectiveness on childbirth which has more impact on Bangladesh. We identified that, higher educated and higher income families are choosing caesarian section for childbirth because of improved safety of surgical skill to reduce the mortality rate. Although expensive, most caesarian operations are performed in private hospitals for modern medical equipment, experienced doctors and advanced medical care. A questionnaire survey design was applied in order to make a comparative study on caesarian and normal delivery childbirth. Respondents from all over Bangladesh participated in the survey. We collect 281 data from the respondents of different districts of Bangladesh by area sampling. We use descriptive and analytical research designs in determining the comparative study on caesarian and normal delivery childbirth in Bangladesh. The results of study show that the variance of children taken by caesarian delivery is less than children taken by normal delivery and children taken by caesarian delivery increase due to increased family income. It has been found that 39.5% (111) respondents are from the Urban area and 60.5% (171) from the rural zone. We can say that more than 50% of our respondents are well-educated. We also found that 53.4% of the respondents do not face any problem in C/S. We found that family income has a positive linear relationship with the C-section deliveries, which means that higher incoming people tend to have the C-section more. Finally, we observed that change in rate of caesarian delivery due to changing living places and normal delivery is recommended for the next generation. By Meta analysis we found that number of cesarean delivery baby is independent of locality and education level.