Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart ground project: A new approach to data accessibility and collection for raw materials and secondary raw materials in Europe

Steady Raw Materials (RM) supply is essential for the EU economy and increasingly under pressure to sustain the businesses and industries demand. The supply of RM is not only a matter of availability of primary but also of secondary raw materials (SRM). In fact a great amount of waste can be regained as practical and valuable SRM by enhancing the recovery processes from industrial, mining and municipal landfill sites, especially if we consider that Europe is highly dependent on the imports of several RM. Nevertheless, there is to date no inventory of SRM at EU level. Smart Ground project aims to facilitate the availability and accessibility of data and information on SRM in the EU, as well as creating synergy and collaboration between the different stakeholders involved in the SRM value chain. In order to do so, the Smart Ground consortium is carrying out a set of activities to integrate in a single EU database all the data from existing sources and new information retrieving pilot landfills as progress is made. Such database will enable the exchange of contacts and information among the relevant stakeholders, interested in providing or obtaining SRM. Finally, Smart Ground project will also spin out the SRM economy and employment thanks to targeted training activities, organized during congresses and dedicated meeting with stakeholders and end users interested in calculating the potentiality for SRM recovery from selected landfills, contemporary constituting a dedicated network of stakeholders committed to cost-effective research, technology transfer and training.
Represent the Degree of Mimicry between Prosodic Behaviour of Speech Between Two or More People

ExpertoCrede want people to be better understood and aims to im- prove the way we communicate with each other. The study group focused on finding a way to analyse a conversation in order to extract information on the level of rapport between the two speakers. Since such data may contain sensitive personal data, the study group put an emphasis on only using methods which could be run locally on a smart- phone and avoided techniques that were computationally expensive or needed large datasets. Firstly, the group considered the nature of turn taking within conversa- tions where there was rapport between the participants. This was done by manually labelling conversations from the BBC Listening Project [1]. The data suggested an element of memorylessness in turn taking within friendly conversations, and therefore Markov chains were used to model conversations. Each person speaking was considered to be a state in the Markov chain, and the probability of the speaker switch- ing was estimated from the data. The possibility of these probabilities changing within longer conversations was also considered, and some preliminary ODE models for this were suggested. The group sought a way to distinguish between the two speakers and looked for a simple speaker identification algorithm which would be easy to implement on a mobile phone. Such a tool is necessary to enable all subsequent analysis of the sound data. Two algorithms were considered which provided reasonable level of information. Firstly, a low-frequency classification approach was used that took advantage of the natural difference in pitch of two speakers (especially in the case of a male-female conversation). The second approach utilised a Gaussian mixture model on the extracted Mel Frequency Cepstrum Coefficients. Based on existing literature, conversational rapport was expected to correspond to mimicry in prosodic features of speech. To analyse this rapport, tools were developed to extract pitch, volume and speech rate from audio files, using Praat, a standard tool in academia, and custom- written Matlab codes. These tools were found to be broadly successful in extraction of these features. However, in the time available no con- sistently significant correlations or trends were found in natural high- rapport conversations from the BBC Listening Project, either over the course of a conversation or between the last few seconds of one speaker’s speech fragment and the first few seconds of the next speaker’s. Fur- ther work would involve following up on some potential correlations in such conversations, and in particular a comparison with low-rapport conversations.
An Approach for Dynamic Materialization of Aggregates in Mixed Application Workloads

Aggregate queries are one of the most resource intensive operations for databases systems. Despite scanning and processing large data sets, they only return relatively small outputs, making them predestined for reuse in future queries. The challenge is to manage the infinite number of possible data areas that can be selected for caching, identify the relevant ones and materialize the corresponding aggregates on a reusable level of granularity. While analytical database systems often save materialized data in cubes of aggregated chunks this is not feasible in systems with transactional insert and change processes. We present the concept dynamic materialized aggregate views (DMAV) that materializes aggregates based on mixed application workloads. Using control tables, aggregate query structures as well as selected data areas are captured and kept track of. We evaluate data access characteristics and only materialize aggregates that are read often but at the same time have only few updates resulting in low aggregates maintenance costs.
Molecular Traits of the Budding Colorectal Cancer Cells

The process of cancer cell metastasis is one of the latest steps in cancer progression that involves escape from the primary tumor through the vascular system to local lymph nodes and distant organs, recently reviewed by Chaffer and Weinberg (Chaffer & Weinberg, 2011). For a cancer cell to metastasize, it must escape the primary tumor by obtaining features that allows detachment from neoplastic epithelial structure, invasion through extracellular matrices, intravasation, survival in the blood circulation, extravasation, establishment or homing in a novel organ and local de novo proliferation. Colorectal cancers (CRC) comprise different subtypes and vary in the degree of differentiation as well as in the local invasion pattern in the tumor periphery. The invasion pattern is partly related to the metastatic ability of the tumor, and the invasion pattern can be fully discerned by microscopy analysis. Molecular characteristics related to the invasion pattern may help in the histopathological diagnosis to provide a prognostic perspective for the patient and potentially identify which patient would benefit from a certain therapy. For CRC, an invasion pattern related to the ability of cancer cells to form buds and focal single cell invasion into the neighboring stroma has obtained much attention. The invasive cancer cells are known as budding cancer cells and the budding phenomenon describes a morphological event, which is becoming better characterized at the molecular level. In this chapter, I will go through some of the molecular characteristics linked to the budding cancer cells and link the observations to the morphologic and molecular changes related to epithelial-tomesenchymal transition (EMT) often assigned to locally disseminating cancer cells.
Early Holocene alluvia in the lower Wisłok River valley and their chronostratigraphy in the light of radiocarbon datings and palynological analysis

Abstract The paper presents the results of the latest radiocarbon dating and the palynological analyses of organic sediments found in the alluvia of the Wisłok River valley between the towns of Łańcut and Przeworsk. The study conducted in the gravel pit made possible the dating of several alluvial fills of the 7–8 m high Holocene terrace and the 5–6 m high floodplain. The oldest channel alluvia and palaeochannel sediments of the 7–8 m high terrace were dated at 10 100–9300 BP (11 960–10 500 cal BP). According to the anthracological analysis the top cover of clay overbank alluvia, which bears charcoal fragments, was deposited in the Subboreal and/or the Subatlantic Phases. In the sequence of the 5–6 m high floodplain, the bottom fills of palaeochannels, dated at 10 195–9885 cal BP (probability level: 68.2%; GdS-3233: 8900 ± 95 BP ) and 11 095–10 755 cal BP (probability level: 68.2%; GdS-3228: 9575 ± 95 BP), were truncated by erosion and covered by alluvia of palaeomeanders, which were active in the 19th century. Preservation of the erosional bench of the Early Holocene organic sediments indicates the predomination of lateral migration of the river channel during the last 200 years and the formation of wide erosional floodplain that has been aggraded with recent flood alluvia. In the 20th century the floodplain aggradation was simultaneous with the deepening of the Wisłok riverbed.
What Drives Systemic Mental Health Advocates? Goals, Strategies, and Values of Australian Consumer and Carer Advocacy Organizations

The consumer participation movement has growing international recognition in policy and research. Focusing on the collective context, this research systematically examines how two advocacy organizations in the Australian mental health sector are organized and motivated to advance the cause. Qualitative studies analyzed 17 strategic communication documents and nine interviews with members and staff to identify major themes relating to goals, activities, and values driving advocates and their organizations. Five major focus issues were identified: building consumer and carer participation, voice and recognition for consumers and carers, influencing and improving mental health systems, effective collaboration and partnerships, and building organizational strength. Findings demonstrate what drives consumer and carer advocates and their organizations to contribute to an organized, strong, and unified movement. While they focus on cementing genuine and effective consumer participation in health service and policy, they highly value partnerships based on mutual respect to improve mental health systems and outcomes.
EXPLORING THE ROLE OF SELF-EFFICACY BELIEFS AND CMC IN DISCOURSE CO-CONSTRUCTION: A LONGITUDINAL CASE STUDY OF LEARNERS OF SPANISH AS A SECOND LANGUAGE 1

This longitudinal study investigated the relationship between self-efficacy beliefs (i.e. personal judgements of second language performance capabilities) and participation patterns in face-to-face interaction and synchronous text-based computer-mediated communication. Specifically, this study examined the discourse behaviour of two intermediate second language students of Spanish, a high and a low self-efficacy learner, and explores whether synchronous text-based computer-mediated communication (SCMC) can play a role in promoting social interaction and interactive participation. A mixed-mode research approach was selected to account for the complexity of the process under study. This involved documenting participation by the high and the low self-efficacy learners across the two modes of communication over a university academic year. The two case-study participants’ chat-log and conversation transcripts were analysed by employing: a) quantitative measures of participation; namely words and turns produced; b) Dornyei and Kormos’ (1998) taxonomy of Communication Strategies, and c) Eggins and Slade’s (2004) classification of Speech Functions. Quantitative results indicated that participation patterns were affected by Self-efficacy beliefs regardless of the mode of communication. However, fine-grained, qualitative analyses suggested that, over time, textbased chat indeed allowed discourse roles to become increasingly more symmetrical. Findings thus indicate that SCMC can play a positive role in promoting opportunities for equal interactional control and interactivity in discourse co-construction, particularly, for learners with lower self-efficacy beliefs.
Challenges of Superdense Coding with Accelerated Fermions

Two particles, even being far from each other have quantum correlation as a result of the existence of entanglement between them. Therefore, information can be shared by entangled particles, sitting in separate places. Superdense coding is one of the quantum protocols that rely on entanglement. In this paper, we review superdense coding with a non-inertial observer in the beyond single mode approximation and investigate the probability of success for superdense coding. We analyze the mutual information due to the effects of acceleration on the quantum and classical correlations of the state. Entanglement behavior is studied considering an entanglement measure the so-called the concurrence. Comparing the mutual information and the concurrence with the probability of superdense coding is shown that quantities have different behaviors, particularly, when the beyond single mode approximation plays a powerful role.
The Influence of Package Graphics and Colour Attributes On Consumers’ Buying Behaviour In Kenya

Understanding consumer buying behaviour and their preference to product attributes has become a key success factor in contemporary competitive and rapid changing business environment. Consumer are now more discerning and individualistic requiring marketers to gain insights into their buying behaviour especially the attitude they have towards product innovation especially packaging. The general objective of the study was to determine the effect of packaging attributes on consumer’s buying behaviour of packaged foods in Kenya. This paper discusses the research findings on the influence of packaged food graphics and colour attributes on consumers’ buying behaviour in Kenya. The study was supported by the Theory of Reasoned Action, the Howard-Sheth Model and Kano’s Theory of Attractive Quality. Descriptive and explanatory research designs were used and a sample of 385 shoppers from three supermarkets in Nairobi was selected randomly while data was collected using structured questionnaires. The selection of supermarkets was based on judgmental sampling in which location and foot traffic was considered. Data was analysed using descriptive statistics in the form of mean, percentages and standard deviations, and inferential statistics in the form of correlation tests and regression analysis. The study found a statistically significant relationship between the attributes of graphics and colour and consumer’s buying behaviour. The study recommends that food manufacturers understand consumer response to their packages, and integrate the inputs into designing the best packaging styles. This can be achieved by involving consumers in the process of packaging so that the right decisions are made without making any assumption regarding the final packaging of food products. This study is beneficial to new and existing food product manufacturers in coming up with strategies and in development of product packaging. Keywords: Package Graphics, Colour Attributes, Consumers’ Buying Behaviour
The relationship between s100β and cerebral oximetry trend in patients undergoing CABG with cardiopulmonary bypass

Background : CABG is among the most common cardiac procedures often done as on pump surgery. There are however, there is always the risk for potential neurologic and neurocognitive insults in CABG. S100β is a biomarker for CNS damage. Cerebral oximetry using NIRS has been developed for CNS monitoring especially cardiac surgery. This study was designed to find the relationship between serum levels of s100β and cerebral oximetry in CABG patients. Methods : in an observational study, 44 adult 40-75 years patients entered the study for elective CABG. Serum levels of s100β were assessed at two times during CPB; i.e. just after aortic clamping and immediately after aortic declamping; while the results were compared with right and left cerebral oximetry readings (NIRS); however, NIRS was measured at baseline, during start of cardiopulmonary bypass (CPB), during aortic clamping, and finally at off-clamping the aorta. Repeated Measures ANCOVA (analysis of covariance), multiple linear regression models and Spearman correlation coefficient with scatter plot were used for data analysis. P value less than 0.05 considered significant. Results : no linear correlation between s100β and NIRS was found according to correlation coefficients. Only among the patients whose s100β was more than 10, the scatter plots demonstrated a positive linear relationship between s100β and right NIRS (spearman correlation coefficient= 0.792; P value=0.006). Conclusions : the study failed to demonstrate a relationship between on-CPB NIRS numbers and serum s100β in adult patients undergoing CABG during the bypass interval; further studies are suggested to evaluate potential predictive value of NIRS in brain ischemia.
Streamflow data assimilation for soil moisture analysis

Abstract. Streamflow depends on the soil moisture of a river catchment and can be measured with relatively high accuracy. The soil moisture in the root zone influences the latent heat flux and, hence, the quantity and spatial distribution of atmospheric water vapour and precipitation. As numerical weather forecast and climate models require a proper soil moisture initialization for their land surface models, we enhanced an Ensemble Kalman Filter to assimilate streamflow time series into the multi-layer land surface model TERRA-ML of the regional weather forecast model COSMO. The impact of streamflow assimilation was studied by an observing system simulation experiment in the Enz River catchment (located at the downwind side of the northern Black Forest in Germany). The results demonstrate a clear improvement of the soil moisture field in the catchment. We illustrate the potential of streamflow data assimilation for weather forecasting and discuss its spatial and temporal requirements for a corresponding, automated river gauging network.
Estimation of 4D Anisotropy above the Elgin Reservoir from 4D Seismic Time Shifts and Compaction Considerations

A method to estimate the in-situ 4D anisotropy changes generated around producing reservoirs is discussed and demonstrated using the depleting Elgin reservoir. The method compares the offset dependency of observed 4D seismic time shifts with synthetic anisotropic ray-traced time shifts. It requires sufficient well data, or other a priori information, to calibrate 4D vertical compaction in and above a producing reservoir. As well as demonstrating a technique to estimate the average fractional change in anisotropy throughout the overburden above the reservoir, a scheme is proposed in which the lateral variation of the anisotropy parameter delta, and possibly epsilon (Thomsen, 1986), may be determined in a qualitative manner.
Optimizing management of the condensing heat and cooling of gases compression in oxy block using of a genetic algorithm

This paper presents the parameters of the reference oxy combustion block operating with supercritical steam parameters, equipped with an air separation unit and a carbon dioxide capture and compression installation. The possibility to recover the heat in the analyzed power plant is discussed. The decision variables and the thermodynamic functions for the optimization algorithm were identified. The principles of operation of genetic algorithm and methodology of conducted calculations are presented. The sensitivity analysis was performed for the best solutions to determine the effects of the selected variables on the power and efficiency of the unit. Optimization of the heat recovery from the air separation unit, flue gas condition and CO2 capture and compression installation using genetic algorithm was designed to replace the low-pressure section of the regenerative water heaters of steam cycle in analyzed unit. The result was to increase the power and efficiency of the entire power plant.
Tuple image multi-scale optical flow for detailed cardiac motion extraction: Application to left ventricle rotation analysis

We present a new method for detailed tracking of cardiac motion based on MR-tagging imaging, multi-scale optical flow, and HARP-like image filtering.In earlier work, we showed that the results obtained with our method correlate very well with Phase Contrast MRI. In this paper we combine the intrinsic spatiotemporal evidence from perpendicularly encoded tagging sequences so as to obtain a dense, unambiguous motion field. We compare our results to those obtained using a different (provably incorrect) strategy advocated in the literature, in which horizontal and vertical components of the motion field are extracted separately from the motion pattern of vertically, respectively horizontally initialized tags. Fromthe extracted motion fields, rotation of the LV is calculated for three subjects, in three slices using the generalised Stokes’ theorem.
of Smart Grid and Clean Energy Research on the Evaluation Mode of 95 % Probability Value in the National Standard GB / T 14549-93

The national standard GB/T 14549-93 stipulated 95% probability value as the judgment basis of the harmonic pollution degree, many problems turned up over the past ten years. Based on a study of several typical cases, this paper points out that the evaluation mode may carry out unfair evaluation results, destroy the consistency, and continuity of the measurement data, and analyzes the cause of the evaluation mode defects. Then, a new evaluation index and a data recording method were proposed and validated by experimental and simulation results to solve the existing problems quite well. The experimental and simulation results show that the new evaluation index provides a workable idea and suggestion for the national standard revision, and it should be applied to judge whether harmonic is excessive. The proposition of the new evaluation mode and index will benefit to perfecting harmonic management system and maintaining social equity.
Yabancı Dil Türkçe Öğretiminde Sözlük Türleri ve Kullanımlarının Türkçe Sözvarlığını Geliştirmeye Etkisi

Vocabulary learning is one of the major challenges for many learners as it is an essential part of foreign language learning. Words are important linguistic parts to convey meanings and even to eliminate misunderstandings in communication. Currently, a new attitude on vocabulary learning is that it is not memorizing words in the contexts of serial lists (Fallahchai, 2011) and vocabulary instruction must be redefined to include more than just memorizing the meanings of words; therefore, some suggestion about learning vocabulary is utilizing dictionaries since they play a vital role to empower users to find appropriate usage of words and to continue communication as well. The purpose of this study is to determine to what extent dictionaries satisfy needs of foreign learners of Turkish, what type of dictionary is more beneficial, the role of dictionary type in the retention of meaning, whether the type of dictionary used will influence learners' Turkish learning attitudes and improve their learning outcomes, and finally to evaluate the effects of implementing dictionary skills instruction. The participants are 42 Erasmus students majoring at different faculties at Çukurova University, Adana, Turkey and also learning Turkish as a foreign language. The results indicated learning new Turkish word is complicated but it can be overcome by using appropriate dictionaries (bilingual, multilingual and electronic dictionaries etc.). Anahtar Kelimeler: Teaching Turkish as a Foreign Language, dictionary usage and skills, types of dictionaries, Erasmus students. YABANCI DİL TÜRKÇE ÖĞRETİMİNDE SÖZLÜK TÜRLERİ VE KULLANIMLARININ TÜRKÇE SÖZVARLIĞINI GELİŞTİRMEYE ETKİSİ