Miracle-dz/UniFAR-FTUs huggingface dataset:
Lamellar assembly and orientation-induced internal micro-voids by cross-sectional dissection of poly(ethylene oxide)/poly(L-lactic acid) blend

Micro-lamellar patterns and orientation-induced micro-voids (cracks) in spherulites are probed in step-crystal- lized blends of two crystalline polymers: poly(ethylene oxide) (PEO) and low-molecular-weight poly(L-lactic acid) (PLLA) in different weight fractions, using polarizing light optical microscopy (POM), and scanning electron microscopy (SEM) with water-etching technique. It is revealed that blend composition led to entirely different PLLA lamellar regulari- ties and void patterns. Water-etching into interiors of PEO/PLLA blends show 3D assembly of PLLA lamellae patterns. It is an important datum for structure modeling of banded polymer spherulites in bulk state. The mechanisms for the void/crack patterns and lamellar orientation are exemplified via dissecting into interior spherulites of bulk-form samples.
Modelling automated technologies within a strategic transport model

As part of the CityMobil project (http://www.citymobil-project.eu/), strategic modelling work is being undertaken to investigate the long-term impacts of the city-wide implementation of new automated technologies. To do this, a number of predictive tests using a fixed set of context and passenger applications will be undertaken for each of the four case study cities: Madrid, Trondheim, Gateshead and Vienna. The applications will be modelled over a 30 year period with 2005 as the base year. These tests will be conducted using a dynamic land use-transport interation model, MARS. This paper starts by outlining the new automated transport modes and their applications in MARS. The MARS model is then described, concentrating on the causal loop diagram technique on which the model is constructed. The incorporation of the new technologies in the model is discussed, including a description of the ‘tipping point’ tests that have been used to determine an appropriate level for the new modes’ supply characteristics, such as access/egress time, fares and headways. Using the Vienna case study, example schemes of the new modes are outlined and the initial results of a selection of predictive tests discussed. 3 NEW TECHNOLOGIES PASSENGER APPLICATIONS The new technologies to be modelled in MARS include cybercars, PRT, automated buses and dual mode vehicles. The specifications of individual modes can vary between different types of systems, so the specifications in this paper will not apply to all modes, but to those used as a basis for the MARS modelling work. The supply characteristics such as fares, changing times and access/egress time are determined using the ‘tipping point’ tests, described in more detail in section 3.4. The following passenger applications using the automated modes are based on those reported in Ruberti et al (2007). The types of applications modelled will be common across all four cities, though the individual schemes will vary between cities due to variations in size, geography and existing road and transport networks. Figure 2-1 shows the type of cybercar to be used in the modelling work, based on the ParkShuttle system operating in Rotterdam (http://connectedcities.eu/guide/parkshuttle.html). The vehicles run on a lane segregated from other traffic at a maximum speed of 40kph, with a maximum capacity of 20 passengers. The fully automated vehicles can operate without a driver (the assumption to be used in the modelling) and have a battery powered energy supply. Two types of cybercar schemes will be modelled in MARS. The first will be an innercity network linking key facilities such as existing transport interchanges, universities and hospitals. The second will include several suburban feeder systems linking low density residential areas to existing high quality public transport systems.
The Treatment of Industrial Waste by Recycling in Tunisia

Waste management in Tunisia is currently one of the priorities of environmental protection and is one of the main pillars of sustainable development. Thus, Tunisia has opted for a comprehensive and progressive policy of environmental protection in order to manage with the current state of the object affected by the strong economic growth and the environment rapid urban expansion in recent years. The area of ​​waste management has received attention currently given the quantity produced changes in the multiplicity of forms and aspects of pollution caused by waste, and limited resources used in the field of solid waste management. During this, our research has been devoted to the study of the phenomenon of industrial waste management by recycling in Tunisia. We employ a model based on a time series analysis model for a period of 17 years from 2000 to 2016. Additionally, we estimate the ability to manage industrial waste recycling based on variables related to the business of recycling industrial waste, variables related to the intervention of Tunisia policy in the management of industrial waste recycling and macroeconomic indicators. From the empirical findings, we conclude that the macro-economic indicators have a negative impact on the dependent variable. The variables related to the intervention of Tunisia policy in industrial waste management through recycling have a positive impact and a negative impact depending on the nature of the waste. And finally, the variable relative to the activity of recycling industrial waste TRDI has a positive impact and DIG variable has a negative impact.
Geology, geochemistry and petrology of basalts from Paraná Continental Magmatic Province in the Araguari, Uberlândia, Uberaba and Sacramento regions, Minas Gerais state, Brazil

This study covers the region between the cities of Sacramento and Araguari/Uberlândia (Minas Gerais State, Brazil), where basalt flows from the Parana Continental Magmatic Province outcrop. The investigated rocks present tholeiitic signature, with high titanium content, and are classified as Pitanga magma-type. The preserved basalt thickness is between 10 and 200 meters and individual flows do not exceed 15 meters thick. Flows were identified as sheet lobes, smaller and thinner flows units — stacked laterally and vertically forming compound lavas —, or frontal, centimetric lobes. The basalt flows show decimetric to metric intercalations of clastic sedimentary rock, with depositional characteristics that can vary from aeolian to lacustrine, and are important markers on prevailing environmental conditions. The plagioclases are dominantly labradorite and pyroxene is augite, whereas olivine can be hyalosiderite or hortonolite/ferrohortonolite. The behavior of the major, minor and trace elements is compatible with the presence of at least two parental magmas, which were subjected to fractional crystallization mainly of plagioclase, clinopyroxene, ilmenite and magnetite. There is a chemistry distinction between basalts from Sacramento to those from Araguari/Uberlândia region, the former one showing more evolved than the last one. The high (La/Lu)N values are indicative of partial melting of a garnet peridotite, while the Rare Earth Elements (REE) values are indicative of fractional crystallization.
Migration, Wages and Unemployment in Thailand *

Migrants from Myanmar to Thailand have increased rapidly during the last decade. The impact of immigration on labor market outcome has become a concern for native workers and policy makers. This paper provides new evidence on the impact of immigration on native wages and unemployment rates, using geographic approach. Our estimation suggests no significant impact of immigration on native wages. However, we find that immigration has a substantial adverse effect on natives’ unemployment. The estimates indicate that a 1-percent increase in the migrant-to-native ratio of a province in 2001 raises the natives’ unemployment rate about 0.5 percent in 2005. Moreover, we find that the workers who are most affected by the immigration are the unskilled, the young and the agricultural workers. The result that immigration affects only unemployment rates but does not affect wages implies that the Thai labor supply is flat.
Achieving Fairness-Aware Two-Level Scheduling for Heterogeneous Distributed Systems

In a heterogeneous distributed system composed of various types of computing platforms such as supercomputers, grids, and clouds, a two-level scheduling approach can be used to effectively distribute resources of the platforms to users in the first-level, and map tasks of the users in nodes for each platform in the second-level for executing many-task applications. When scheduling heterogeneous resources, service providers of the system should consider the fairness among multiple users as well as the system efficiency. However, the fairness cannot be achieved by simply distributing an equal amount of resources from each platform to every user. In this paper, we investigate how to address the fairness issue among multiple users in a heterogeneous distributed system. We present three first-level resource allocation policies of a provider affinity first policy, an application affinity first policy, and a platform affinity based round-robin policy, and two second-level task mapping policies of a most affected first policy and a co-runner affinity based round-robin policy. Using trace-based simulations, we evaluate the performance of various combinations of the first and second level scheduling policies. Our extensive simulation results demonstrate that the first-level policy plays a crucial role to achieve relatively good fairness.
Encouraging for Enculturation – An Enquiry on the Effort of Usability Specialists Entering OSS Projects

Open source software (OSS) has increased its importance during recent years. The significance of OSS usability has been acknowledged; however, usability work, albeit carried out, doesn’t necessarily have any impact on the OSS under development. This paper examines how the impact of usability work can be increased in OSS projects. Through cross-case analysis, seven OSS development cases including usability work were examined and characteristics contributing to usability work having an impact identified. The analysis indicates that for increasing the impact of usability work, enculturation of usability specialists is important. Enculturation happens naturally when usability specialists take part in the project from the very beginning, but in OSS development this is uncommon. Otherwise, usability specialists need to place extra effort on enculturation, which in our data involved various kinds of practices relating to 1) understanding the product under development, 2) finding motivation for usability and 3) locating and targeting the decision-makers.
Mining Domain Ontological Information from Online Publications

The authors describe a system that uses online citation information to build reliable domain ontologies. The WWW has made it possible to transfer research literature repositories from hard copies to online databases, but currently there are few computational tools that support scholars’ efforts to interpret and analyze bodies of prior research. The standard process still consists of wading through numerous papers to discover the main threads of a topic, then creating road maps via iterative cycles of identifying themes and other connections among papers. Our goal is to use citation analysis and keyword methods to exploit ontological information found in online scientific literature to establish introductory surveys for researchers entering new fields. Key-Words: Domain ontology, Online citation information, Citation analysis, Semantic web
Abnormal Returns in the Vicinity of Insider Transactions: Unbiased Estimates for Germany

Several studies focusing on the US and the UK have shown, that abnormal returns tend to be negative on the days before insider purchases, positive on the transactions days and on the following days. For insider sales it is the other way around, but the absolute effects are smaller. Around the announcement days similar effects exist. In many cases more transactions and/or announcements take place on subsequent days, possibly having different directions and/or involving different buyers/sellers. We argue that because of the different signs of the abnormal returns before and after day 0, estimates based on all available observations could be biased. This is the first study to our knowledge which proposes and uses non-overlapping observations in this context. We confirm the above findings using German data for the two year period following the introduction of insider regulations in Germany in July 2002. Like in the UK, the effects around the announcement date are considerably larger than in the US. Unlike in the US and the UK, the effects are much more pronounced around sales. Due to our use of non-overlapping data, we can show these effects much more clearly than prior studies of the German market. In our cross-sectional regressions, net trading intensity on the announcement day, a variable suggested by Lakonishok/Lee (2001) is the most important explanatory vari-able for the cumulative abnormal returns from day -1 to day +1. When we look at the days 0 to +5, the explanatory power of the net trading intensity (NI) is considerably smaller. We conclude that diversification and liquidity motives together with price pres-sure effects are mainly responsible for the results.
New arguments against the charge transfer mechanism in the hydrogen transfer reaction between nitromethane and hydrogen sulphide

In our recent work we have made a conclusion that in the radical reaction between nitromethane and hydrogen sulphide the formation of the anion-radical does not happen. This conclusion was not expected due to oposite results that can be found in many experimental papers describing the similiar reactions with nitronaphtalene and amines. So, the additional research has been made using RT-TDDFT simulation at the PBE0/6-311++G** theory level. The simulation has shown no charge oscillations between reactants, that can be interpreted as an argument against the charge transfer mechanism. The study of correlation between solvent polarity and energetic parameters of reaction has been made using the SMD and COSMO above the DFT PBE0/6-311++G** calculation has shown non-polar nature of the reaction, that also might be used as an argument against the anion-radical formation mechanism.
Informatics Tools, AI Models and Methods Used for Automatic Analysis of Customer Satisfaction

satisfaction indices make it difficult to understand, compare and interpret the results. Methods of analysis of data collected through the recommended ISO 10004 procedures permit only the detection of linear dependencies. To increase the effectiveness of product quality management, we suggest approaching the research of customer satisfaction through the use of Informatics, as AI technologies. Applying Text Mining tools for analyzing customers’ reviews posted on the Internet is not novel. There are many studies concerning models and methods for data collection, sentiment analysis and information extraction. Recent studies show acceptable accuracy of methods for sentiment classification. Gräbner Studies in Informatics and Control, Vol. 24, No. 3, September 2015 http://www.sic. ici.ro 261 Informatics Tools, AI Models and Methods Used for Automatic Analysis of Customer Satisfaction George KOVÁCS, Diana BOGDANOVA, Nafissa YUSSUPOVA, Maxim BOYKO 1 Computer and Automation Research Institute, Kende u. 13-17, Budapest, 1111, Hungary, kovacs.gyorgy@sztaki.mta. hu 2 Ufa State Aviation Technical University, K. Marx 12, Ufa, 450000, Russia, dianochka7bog@mail.ru, yussupova@ugatu.ac. ru, maxim.boyko87@gmail.com Abstract: Customer satisfaction is getting more and more importance world-wide. Informatics tools and methods are Customer satisfaction is getting more and more importance world-wide. Informatics tools and methods are used to research customer satisfaction based on a detailed analysis of consumer reviews. The examined reviews are written in natural languages and some Artificial Intelligence (AI) techniques such as Text Mining, Aspect Sentiment Analysis, Data Mining and Machine Learning are used for the study. As input for running the investigations, we use different internet resources in which the accumulated customer reviews are available. These are for example yelp.com, tripadviser.com and tophotels.ru, etc. To see and show the efficacy of the proposed approach, we have carried out experiments on hotel client satisfaction. The results have proven the effectiveness of the proposed approach to decision support in product quality management and support applying them instead of traditional methods of qualitative and quantitative research of customer satisfaction.
Detection of herbicide-resistant maize by using loopmediated isothermal amplification of the pat selectable marker gene

Loop-mediated isothermal amplification (LAMP) is a novel nucleic acid amplification method that reagents react to under isothermal conditions with high specificity, efficiency and rapidity. We used LAMP for detection of herbicide-resistant maize, which is a widespread genetically modified crop. Pat gene, a widely used selectable marker, was amplified by a set of four special primers that recognized six distinct sequences of the target. We studied the optimized conditions for LAMP using different Mg 2+ , dNTPs, betaine and primers concentrations. Furthermore, we tested the sensitivity and specificity of LAMP as compared to PCR. This work shows that the LAMP method can detect a specific pat gene from herbicide-resistant maize and their test results are consistent with the results of the conventional PCR methods. However, LAMP assay results were found to be more sensitive than the conventional PCR. Key words: Herbicide-resistant maize, loop-mediated isothermal amplification (LAMP), transgenic maize detection, pat gene.
Genetic variability and correlation of stalk yield-related traits and sugar concentration of stalk juice in a sweet sorghum ( Sorghum bicolor L. Moench) population

The productivity of sweet sorghum ( Sorghum bicolor L. Moench) a raw material for ethanol production is mainly determined by stalk yield and sugar content. To understand inherent differences and relationship between stalk yield related traits and sugar concentration of stalk juice, a large recombinant inbred (RI) population derived from a grain sorghum × sweet sorghum was grown in three different trials. Seven stalk yield related traits including heading date (HD), plant height (PH), harvested stem length (HSL), number of nodes (NN), stem diameter (SD), panicle length (PL) and panicle neck length (PNL), along with sugar concentration (SC) of stalk juice were evaluated. Significant differences among genotypes were observed for all measured traits. A large proportion of the phenotypic variance for PH, HSL, PL and SC was attributed by genotypic variance. Highest ratio of genotype × environment (G × E) interaction variance to phenotypic variance was observed for SD. Moderate proportion of phenotypic variances for HD, NN and PNL were explained by genotypic variances. Both the magnitude and direction of correlation coefficients among the traits measured were varied in different trials. PH, HSL and NN had consistently positive and significant correlation with SC. PNL had no significant correlation with SC in all three trials. HD, SD and PL had no consistently significant correlations with SC in three trials. Information obtained from this study is very helpful to further understand the genetic mechanism of stalk yield related traits and sugar concentration of stalk juice in this RI population.
Accuracy assessment of GPS and surveying technique in forest road mapping

Forest road networks provide access to the forest as a source of timber production and tourism services. Moreover, it is considered the main tool to protect forests from fire and smuggling. The prerequisite of road management and maintenance planning is to have spatial distribution and map of the roads. But newly constructed or some other forest road segments are not available in national maps. Therefore, mapping these networks is raised as a priority for a forest manager. The aim of this study was to assess accuracy of routine methods in road mapping. For this purpose, Patom district forest road was selected and road network map was extracted from the National Cartographic Center maps as the ground truth or base map. The map of the network was acquired using two methods, a GPS receiver and survey technique. Selecting 70 sample points on the network and considering the National Cartographic Center map as base map, accuracy was determined for two methods. The results showed that while the survey method was more accurate at the beginning of the path (first 500 meters), accumulation of errors resulted in higher rates of error in this method (up to 263 meters) compared to GPS. Mann-Whitney test revealed significant differences in accuracy of two methods and mean accuracies were 38.86 and 147.90 for GPS and surveying respectively. The results showed that for samples 1-15 there was no significant difference between the survey and GPS data but for samples 28-42 and 56-70 statistically significant difference were existed between the survey and GPS data. Regression analysis showed that the relation between GPS and surveying accuracies and distance were best defined by cubic (R2 adj = 0.65) and linear (R2 adj = 0.83) regression models respectively. Applying 10 and 5 meters buffers around base map, 68 and 41% of GPS and 44 and 21% of surveying derived road were overlapped with buffer zones. The time required to complete the survey was found to increase the overall cost of mapping road network. The lower time requirements associated with the GPS methods were found to reduce the costs associated with mapping forest roads.
Assessing copepod (Crustacea: Copepoda) species richness at different spatial scales in northwestern Romanian caves

The aim of the present study was to assess copepod species richness in groundwater habitats from the Pădurea Craiului Mountains, Transylvania (northwestern Romania). Five species richness estimators (one asymptotic, based on species accumulation curves, and four non-parametric) were compared by testing their performances in estimating copepod species richness at three hierarchical spatial scales: cave, hydrographic basin, and karstic massif. Both epigean and hypogean species were taken in account. Two data sets were used in computing copepod species richness: 1. samples collected continuously during one year (dripping water) and seven months (pools) from five caves, and 2. samples collected from pools in twelve additional caves (data gathered from literature). Differences in copepod species richness among caves and hydrographic basins suggest that local environmental features are important in determining local species richness trends.
Resource-based view, agglomeration, and cluster formation models to assess innovation and technology transfer in New Zealand

Using a resource-based view, we assessed the innovation and technology transfer system in New Zealand to explore the role of innovation, as well as the strategies, structures and performance of New Zealand university and research institute technology transfer offices. While we found a broad consensus about the potential of innovation to spur economic development, we also found a wide diversity of opinion about how New Zealand should organize, coordinate and measure the progress of the national technology transfer system. We conclude that executives face high transaction costs in accessing innovation from universities and research institutes. Our findings also suggest that public-sector managers face difficult strategic choices in measuring the effectiveness of technology transfer offices.