Miracle-dz/UniFAR-FTUs huggingface dataset:
Sensitivity of transatlantic dust transport to chemical aging and related atmospheric processes

Abstract. We present a sensitivity study on transatlantic dust transport, a process which has many implications for the atmosphere, the ocean and the climate. We investigate the impact of key processes that control the dust outflow, i.e., the emission flux, convection schemes and the chemical aging of mineral dust, by using the EMAC model following Abdelkader et al. (2015). To characterize the dust outflow over the Atlantic Ocean, we distinguish two geographic zones: (i) dust interactions within the Intertropical Convergence Zone (ITCZ), or the dust–ITCZ interaction zone (DIZ), and (ii) the adjacent dust transport over the Atlantic Ocean (DTA) zone. In the latter zone, the dust loading shows a steep and linear gradient westward over the Atlantic Ocean since particle sedimentation is the dominant removal process, whereas in the DIZ zone aerosol–cloud interactions, wet deposition and scavenging processes determine the extent of the dust outflow. Generally, the EMAC simulated dust compares well with CALIPSO observations; however, our reference model configuration tends to overestimate the dust extinction at a lower elevation and underestimates it at a higher elevation. The aerosol optical depth (AOD) over the Caribbean responds to the dust emission flux only when the emitted dust mass is significantly increased over the source region in Africa by a factor of 10. These findings point to the dominant role of dust removal (especially wet deposition) in transatlantic dust transport. Experiments with different convection schemes have indeed revealed that the transatlantic dust transport is more sensitive to the convection scheme than to the dust emission flux parameterization. To study the impact of dust chemical aging, we focus on a major dust outflow in July 2009. We use the calcium cation as a proxy for the overall chemical reactive dust fraction and consider the uptake of major inorganic acids (i.e., H2SO4, HNO3 and HCl) and their anions, i.e., sulfate (SO42−), bisulfate (HSO4−), nitrate (NO3−) and chloride (Cl−), on the surface of mineral particles. The subsequent neutralization reactions with the calcium cation form various salt compounds that cause the uptake of water vapor from the atmosphere, i.e., through the chemical aging of dust particles leading to an increase of 0.15 in the AOD under subsaturated conditions (July 2009 monthly mean). As a result of the radiative feedback on surface winds, dust emissions increased regionally. On the other hand, the aged dust particles, compared to the non-aged particles, are more efficiently removed by both wet and dry deposition due to the increased hygroscopicity and particle size (mainly due to water uptake). The enhanced removal of aged particles decreases the dust burden and lifetime, which indirectly reduces the dust AOD by 0.05 (monthly mean). Both processes can be significant (major dust outflow, July 2009), but the net effect depends on the region and level of dust chemical aging.
Life outside the walls: The spanish liveability of its public spaces

The paper analyzes the importance of public spaces as structuring element of sociability and organization of the territory in Spanish cities. Taking as a case study a path and a plaza in the city of Madrid, it aims to explore how these different typologies and scales of public space influence the spatial organization, the mobility and the sociability of these cities. To perform the analysis of these spaces were explored the concepts of imageability, liveability and local management, through the methodologies developed respectively by Lynch (1960), Gehl (2013) and Carmona (2008). The paper looks to comprehend how each typology of public space contributes with local dynamics, and which are the characteristics that should be more studied in order to achieve dynamics public spaces in the city.
Response of a two-dimensional liquid foam to air injection: swelling rate, fingering and fracture

Abstract The response of a two-dimensional liquid foam to a localized air injection is investigated experimentally and theoretically. The experiments show a rich phenomenology, with two essentially distinct behaviours, depending on the injection conditions. At low flux, the injected air forms a central bubble that grows inside the foam and induces plastic rearrangements, without film rupture. This ‘pure swelling’ regime is reminiscent of ductile fracture. In this regime, the central bubble shows fingering patterns beyond a certain velocity. The dependence among the swelling rate, the injection overpressure and the other control parameters, namely cell gap, bubble size and foam area, is captured by a simple balance between the pressure drop and bubble/wall friction under a radial assumption. Fingering is successfully modelled by the linear stability analysis of an azimuthal perturbation of the radial model; yield stress becomes an important parameter to determine the finger width. At high injection rate, films are broken and narrow cracks form rapidly through the foam, reminiscent of brittle fracture. Criteria for the transition between ductile and brittle behaviours are investigated, both at the local and global scales.
Paper Hydrogen 1 ( 1 H ) magnetic resonance spectroscopy ( MRS ) of 3 . 0 T in assessment of steatosis to antiviral therapy for chronic hepatitis C

This study investigates the utility of Hydrogen 1 (1H) magnetic resonance spectroscopy as a noninvasive test for steatosis of response to interferon and ribavirin treatment in patients developing different severity of hepatitis C virus (HCV). Ninety chronic hepatitis C patients undergoing antiviral therapy with interferon and ribavirin underwent 1H MR spectroscopy at 3.0T before treatment, 6 month after the start of treatment and one year after the start of treatment. Peak value of lipid, area under the peak of lipid, peak ratio of lipid, water and area ratio under the peak of lipid, water statistical difference between baseline of control group and antiviral group, and also between baseline and after the start of therapy 6 month of antiviral therapy group. 1H MRS is a noninvasive technique that can be used to provide liver steatosis information on hepatic metabolic processes. This study indicates that the 1H MRS can be used as an indicator of steatosis response to antiviral treatment in chronic hepatitis C patients.
Accuracy Assessment of the 2006 National Land Cover Database Percent Impervious Dataset

An impervious surface is any surface that prevents water from infiltrating the ground. As impervious surface area increases within watersheds, stream networks and water quality are negatively impacted. The Multi-Resolution Land Characteristic Consortium developed a percent impervious dataset using Landsat imagery as part of the 2006 National Land Cover Database. This percent impervious dataset estimates imperviousness for each 30-meter cell in the land cover database. The percent impervious dataset permits study of impervious surfaces, can be used to identify impacted or critical areas, and allows for development of impact mitigation plans; however, the accuracy of this dataset is unknown. To determine the accuracy of the 2006 percent impervious dataset, reference data were digitized from one-foot digital aerial imagery for three study areas in Arkansas, USA. Digitized reference data were compared to percent impervious dataset estimates of imperviousness at multiple 900m, 8,100m, and 22,500m sample grids to determine if accuracy varied by ground area. Analyses showed percent impervious estimates and digitized reference data differ modestly; however, as ground area increases, percent impervious estimates and reference data match more closely. These findings suggest that the percent impervious dataset is useful for planning purposes for ground areas of at least 2.25ha.
Structural transformation in China and India: The role of macroeconomic policies

This paper explores macroeconomic policies that can sustain structural change in China and India. A two--sector open--economy model with endogenous productivity growth, demand driven output and income distribution as an important determinant of economic activity is calibrated to a 2000 SAM for China and a 1999/2000 SAM for India. Short-run analysis concerns temporary equilibria for output, productivity and employment growth rates in the formal sector. In the long--run, the model allows for multiple equilibria which can describe cases of (a) underdevelopment and structural heterogeneity or (b) sustained growth and development. Several simulation exercises are conducted. Specifically, we consider how changes in investment, wages, labor productivity trend and a depreciation of currency affect the macroeconomy and job creation in the formal sector.
Impact of globalisation on Indian organization Authors

The primary purpose of this study is to find out the impact of globalization of Indian economy on organization and in decision making to introduce change. The study was conducted in North India, 400 questionnaires were circulated among different executives of different designation, age, work experience. The primary data were collected from these executives were analyzed to study impact of globalization on organization. The results obtain from the descriptive statistic showed that as a result of globalisation organization emphasis more on customer satisfaction and quality of product.
Combining Disparate Data Types: Protein Sequences and Protein Structures

With the development of high-throughput, next-generation sequencing and other advanced technologies, a large number of gene expression profiles have been produced. Many of these profiles are available from public databases [1-3]. A challenging research problem that has drawn a lot of attention in the past is to infer gene regulatory networks from the expression data. A gene regulatory network is represented by a directed graph, in which nodes represent transcription factors or mRNA with edges showing transcriptional regulatory relationships between two nodes.
Forecasting Performance with the Harmonic Mean: Long-Term Investment Horizons in Shanghai Stock Exchange

Portfolio managers favor long-term investment horizons. Their performance is usually forecasted using either the arithmetic mean or the geometric mean. The harmonic mean is generally ignored as an instrument of financial and/or portfolio management. We examine the performance of the harmonic mean employing real life data on SSE180 Index and we compare it with the corresponding performances of arithmetic and geometric means. In all cases, the harmonic mean gave us the best performance.
A GIS-supported model for the simulation of the spatial structure of wildland fire, Cass Basin, New Zealand

Summary 1. The behaviour of wildland fire in spatially heterogeneous landscapes was simulated using a model (PYROCART) that integrates the Rothermel fire spread model and a geographic information system (GIS). 2. The principal aims of the research were to test the applicability of overseas fire behaviour models to New Zealand ecosystems, and to assess the applicability of GIS to fire spread prediction. 3. The model was validated using an uncontrolled fire that occurred in the Cass Basin, South Island, New Zealand in May 1995. This fire burnt 580 ha across a complex vegetation mosaic comprising shrubland, stands of Nothofagus solandri var. cliffortioides, bog and tussockland. 4. The overall predictive accuracy of the model was estimated to be 80%. Prediction accuracies within different fuel types and slope angles are also presented. Fuel type and slope appeared to be the dominant influences on fire spread. No trends in prediction accuracy by wind speed or direction were apparent. The predicted burnt area and the real burnt area had a similar overall shape. It was found, however, that at high wind speeds the model tended to over-predict rates of fire spread in some directions. 5. The PYROCART model shows potential as a land management tool, especially for the testing of hypotheses concerning land management strategies. However, due to the complex input data and parameterization techniques it requires, it is less suitable for in situ fire management.
Automatic Configuration of Communication Subsystems - A Survey

Today's communication systems are typically structured into several layers, where each layer realizes a fixed set of protocol functionalities. These functionalities have been carefully chosen such that a wide range of applications can be supported and protocols work in a general environment of networks. However, due to evolving network technologies as well as increased and varying demands of modern applications general-purpose protocol stacks are not always adequate. To improve this situation new flexible communication architectures have been developed which enable the configuration of customized communication subsystems by composing a proper set of reusable building blocks. In particular, several approaches to automatic configuration of communication subsystems have been reported in the literature. This report gives an overview of theses approaches (F-CCS, Da CaPo, x-Kernel, and ADAPTIVE) and, in particular, defines a framework, which identifies common architectural issues and configuration tasks.
The Case for Trauma-Informed, Gender-Specific Prevention/Early Intervention Programming in Reducing Female Juvenile Delinquency in Florida

This article describes the statutory recognition of the need for prevention/early intervention juvenile services in Florida that are both trauma-informed and gender-specific. It examines how childhood trauma can impact at-risk children and the gendered aspects of such trauma. The article then describes the PACE Centers for Girls, a Florida based school, currently undergoing a comprehensive evaluation, which attempts to incorporate elements that fulfill the statutory recommendations into its programming.
Treatment of ocular allergies: nonpharmacologic, pharmacologic and immunotherapy

Ocular allergy is a significant and growing issue worldwide but for many patients, it is often not differentiated from systemic conditions, such as hay fever. Management of seasonal and perennial allergic conjunctivitis is often poor. Management is principally through avoidance measures (blocking or hygiene), nonpharmaceutical (such as artificial tears and cold compresses) and pharmaceutical (such as topical antihistamines and prophylactic mast cell stabilizers). Vernal and atopic keratoconjunctivitis are more severe and generally need treatment with NSAIDs, steroids and immunomodulators. Giant papillary conjunctivitis can be related to allergy but also is often contact lens related and in such cases can be managed by a period of abstinence and replacement of the lens or a change in lens material and/or design. Immunotherapy can be efficacious in severe, persistent cases of contact lens or allergic conjunctivitis.
Effects of Inexpressive Aggression on Depression in College Students: Cross Cultural Study between Japan and Russia

The aim of this study is to examine the cross-cultural effects of inexpressive aggression on depression in terms of emotion regulation in Japanese and Russian students. Two hundreds and six Japanese students and 243 Russian students read scenarios depicting socially provocative situations, and asked to rate their own anger, the other party’s hostile intent and happy emotion, and the extent in which they would use emotion regulations (distraction, suppress, and reappraisal), and finally their own other kinds of negative emotions (melancholy, anxiety, and depression) on a 9-point rating scale. The results showed that 1) Russians more frequently used suppression as emotion regulation than Japanese did, and suppression of anger decreased depressive emotions among Russians but not among Japanese. 2) Japanese would more frequently use reappraisal than Russians and reappraisal would increase depressive emotions among Japanese but not among Russians. 3) Distraction increased depressive emotions both among Japanese and Russian participants. 4) Females used more emotion regulation and felt more depressive emotions than males in both samples.
A Method for Predicting the Winner of the USA Presidential Elections using Data extracted from Twitter

This paper presents work on using data extracted from Twitter to predict the outcome of the latest USA presidential elections on 8th of November 2016 in three key states: Florida, Ohio and N. Carolina, focusing on the two dominant candidates: Donald J. Trump and Hillary Clinton. Our method comprises two steps: pre-processing and analysis and it succeeded in capturing negative and positive sentiment towards these candidates, and predicted the winner in these States, who eventually won the presidency, when other similar attempts in the literature have failed. We discuss the strengths and weaknesses of our method proposing directions for further work.
Novel synthesis of silver nanoparticles using leaf ethanol extract of Pisonia grandis (R. Br)

An effective and versatile technique was implemented for the synthesis of silver nanoparticles using the ethanolic extract of leaves of Pisonia grandis (R. Br). The silver nanoparticles were synthesized by three different methods and the completion of the reaction was monitored with UV-visible spectrophotometer. The XRD, Scherrer’s equation and SEM analysis was employed for the characterization of synthesized silver nanoparticles. The particle size was found to be less than 150 nm, possessing spherical shape as confirmed from XRD and SEM analysis
Negotiating Value

At the beginning of the twentieth century, human and veterinary surgeons faced the challenge of a medical marketplace transformed by technology. The socioeconomic value ascribed to their patients was changing, reflecting the increasing mechanization of industry and the decreasing dependence of society on nonhuman animals for labor. In human medicine, concern for the economic consequences of fractures “pathologized” any significant level of posttherapeutic disability, a productivist perspective contrary to the traditional corpus of medical values. In contrast, veterinarians adapted to the mechanization of horsepower by shifting their primary professional interest to companion animals; a type of patient generally valued for the unique emotional attachment of the owner and not their productive capacity. The economic rationalization of human fracture care and the “sentimental” transformation of veterinary orthopedic expertise indicate how these specialists utilized increasingly convergent rhetorical arguments to justify the application of innovative fracture care technologies to their human and animal patients.
Design and Wind-Tunnel Analysis of a Fully Adaptive Aircraft Configuration

This work describes the design and construction of a fully adaptive aircraft configuration used as an experimental testbed for aerodynamic modeling and flight control. The adaptive model is designed to achieve large scale shape changes in order to investigate morphing for multi-mission UAVs. There are five independent planform changes along with independent twist control for each wing. Wind tunnel testing was conducted in Virginia Tech's Stability tunnel to analyze the aerodynamic characteristics and evaluate the usefulness of having a UAV with multiple configuration capability. Wind tunnel tests of various planform configurations indicate that different configurations yields minimum drag over a range of flight conditions.
Metagenomic analysis of bacterial diversity of Siloam hot water spring, Limpopo, South Africa

The bacterial diversity of Siloam hot water spring was determined using 454 pyrosequencing of two 16S rRNA variable regions V1-3 and V4-7. Analysis of the community DNA revealed that the phyla Proteobacteria, Cyanobacteria, Bacteriodetes, Planctomycetes, Firmicutes, Chloroflexi and Verrucomicrobia were the most abundant. The bacterial diversity detectable and classifiable was greater when the V4-7 variable region was used compared to the V1-3 region. The most abundant bacteria genera detected with region V1-3 were; Stenotrophomonas (23.3%), Aquaspirillum (5.11%) , Zavarzinella (2.73%), Haliscomenobacteria (1.25%), Rheinheimera (1.14%) and Tepidomonas (1.14%). All the other detectable genera were below 0.6%. Genera detected with region V4-7 from most abundant were; Stenotrophomonas (17.96%), Zavarzinella (5.81%), Aquaspirillum (4.75%), Rheinheimera (3.52%), GPI (1.41%), Gemmata (1.41%) and Syntrophobacter (1.06%). All the other genera detected were below 0.7%. Siloam is one of the hottest thermal springs in South Africa (63°C), the water has a pH of 9.5 and is relatively high in fluoride and bromide; it is possible that the physicochemical properties could have some influence on the diversity of bacteria. This article reports on the first phylogenetic analysis of a South African thermal spring bacterial community. Key words : Thermophilic, hot springs, biodiversity, 454 sequencing, South Africa.
Fast voltage detection method for grid-tied renewable energy generation systems under distorted grid voltage conditions

A fast voltage detection method to assist with the low-voltage ride-through operation of grid-tied renewable energy generation systems is proposed in this study. It is designed to detect every phase voltage, so that it can be applied in both three-phase and single-phase applications. The whole voltage detection approach consists of two stages, the pre-filtering stage and the voltage detection stage. In the pre-filtering stage, a cascaded delayed signal cancellation (CDSC) module and a low-pass filter are connected in series to filter low-order harmonics and high-frequency noises. For eliminating the low-order harmonics of interest, different types of CDSC methods are studied in detail. Subsequently, a new orthogonal signal generator is built to calculate the voltage amplitude in the voltage detection stage. Finally, the proposed voltage detection method is verified by experimental results.
Design and Development of REST-Based Instagram Spam Detector for Indonesian Language

Instagram, the most popular picture-based social media, has been well known for spam comments, mostly for public figures, including Indonesian actors and actress. Spam comments may lead to misleading information and confusing to other followers. Our previous research on Indonesian language spam comment detector has concluded that K-Nearest Neighbor yields the best result to detect Instagram spam comments. We continue previous our work by designing the REST -based web service to detect Indonesian language spam comments for Instagram. We are using supervised learning combined with Instagram dataset gathered from previous work. This system is built on top of Amazon Web Service (A WS) to provide a robust, resilience, and scalable system using Java Jersey library. The result of this work is a preliminary design and implementation of REST-based Instagram spam detector for Indonesian language that has an average response time of 1678.133 ms with deviation standard of 1178.59 ms. The current service still has limitations in terms of number of features and k-d tree data structure and it still needs some optimization before it can be used in production environment.