Miracle-dz/UniFAR-FTUs huggingface dataset:
Specific heat capacity and thermal conductivity of the electrocaloric ( 1x ) Pb ( Mg 1 / 3 Nb 2 / 3 ) O 3 – xPbTiO 3 ceramics between room temperature and 300 oC

We report the specific heat capacity and thermal conductivity of electrocaloric (1-x)Pb(Mg1/3Nb2/3)O3–xPbTiO3 (x = 0, 0.1, 0.3 and 0.35) ceramics between room temperature and 300 °C. The specific heat capacity for all ceramic samples is between 0.323 and 0.326 J/gK at 35 °C. For the samples with a high PbTiO3 content (x = 0.3 and 0.35), a pronounced anomaly is observed in the specific heat capacity versus temperature at 130 °C and 153 °C, indicating the phase transition from the polar to a non-polar phase. The thermal conductivity in this system significantly depends on the PbTiO3 content. The lowest thermal conductivity is obtained for Pb(Mg1/3Nb2/3)O3, and it increases with increasing PbTiO3 content in the whole temperature range. For example at 23 °C the values of thermal conductivity of Pb(Mg1/3Nb2/3)O3 and 0.65Pb(Mg1/3Nb2/3)O3–0.35PbTiO3 are 1.25 W/mK and 1.43 W/mK, respectively.
Individual and Collective Influences on Researchers ' Performance in Nanotechnology Networks

Researchers have been decisively developing and deploying nanotechnology. Their performance depends on various individual and collective factors. In this paper, we want to find out how performance is influenced by the network position, the technological profile as well as the affiliation of the individual researcher. We focus on scholars carrying out nanotechnology research in the global nanotechnology network. Moreover, we show the specific influence of being affiliated with one of five leading European universities of technology. By analysing publication data and using econometric modelling combined with social network analysis we show that the performance of individual scholars depend on their network position, very crucially on the interdisciplinarity of their research as well as on their affiliation in terms of belonging to one of the five European universities of technology.
iGather: Learners as responsible audio collector of tutor, peer and self reflection

Feedback is frequently described as something that is done for the learner: feedback is 'given'. This paper describes how audio feedback can be designed as a device that facilitates personal and autonomous knowledge construction. The Student Audio Notes Project at Sheffield Hallam University encouraged students to use MP3 recorders to gather the comments, explanations and ideas of tutors and peers, and to also use audio as a channel for personal reflection. Students became responsible and active 'owners' of their audio data, and so were more likely to use it to feed forward, or affect, their learning. This paper draws upon student testimony from a year long project and reports on how the 52 student participants used their MP3 recorders to gather useful formal, informal and semi-formal voices. What did they decide would be useful? How did they work with the recordings? And could they have been guided further in iteratively reviewing their recordings? Those attending this short paper will be asked to help identify ideas for, and the implications of, encouraging the wider use of student collated audio feedback.
Lightning NO 2 simulation over the Contiguous US and its e ↵ ects on satellite NO 2 retrievals Response to Anonymous Referee # 1

Lightning is an important NOx source representing ~10% of the global source of odd N and a much larger percentage in the upper troposphere. The poor understanding of spatial and temporal patterns of lightning contributes to a large uncertainty in understanding upper tropospheric chemistry. We implement a lightning parameterization using the product of convective available potential energy (CAPE) and convective precipitation rate (PR) into Weather Research and Forecasting-Chemistry (WRF-Chem) modelfor North America. We show that the . :::: The CAPE-PR parameterization with a regional scaling factor of 0.5 5 in the southeastern US, :: is ::::::: coupled :::: with :::: Kain :::::: Fritsch ::::::::: convective :::::: scheme ::::::::::::: (KF/CAPE-PR) :: to ::::::: generate :::::::: lightning ::: for :: the :::::::::: continental ::: US. ::: We ::::: show :::: that :: the :::::::::::: KF/CAPE-PR ::::::: scheme yields an improved representation of lightning flashes in WRF when comparing against flash density from the Earth Networks Total Lightning Network. Compared to the cloud top height (CTH) lightning parameterization ::::::: coupled :::: with ::::: Grell ::: 3D ::::::::: convective ::::::: scheme ::::::::: (G3/CTH) : used in WRF-Chem, simulated NO2 profiles using the ::: KF/CAPE-PR parameterization exhibit better agreement with aircraft observations in the middle and upper troposphere. 10 While the :::: Using :: a lightning NOx production rate is:: of:500 mol NO flash 1, using the a priori NO2 profile generated by the simulation with the ::: KF/CAPE-PR parameterization reduces the air mass factor for NO2 retrievals by 16% on average in the southeastern US on the late spring and early summer ; yielding an overall 20% enhancement of the vertical column density compared to simulations using the CTH lightning parameterization. ::::::: G3/CTH ::::::::::::::: parameterization. :::: This :::::: causes :: an ::::::: average :::::: change :: in NO2 ::::: vertical::::::: column:::::: density:::: four::::: times:::::: higher ::: than::: the::::::: average:::::::::: uncertainty. 15
ifespan changes in motor activation and inhibition during choice reactions : Laplacian ERP study aria

Response speed improves from childhood to early adulthood and declines steadily with advancing age. The present event-related brain potential (ERP) study explored the contribution of the primary motor cortex (M1) to lifespan changes in response speed and accuracy using a choice reaction time (RT) task. Two groups of children (8 and 12 years) and two groups of adults (21 and 76 years) responded to leftor right-pointing arrows. RTs showed a typical U-shaped lifespan pattern. RT was segmented into preselection time, pre-motor time, and motor time by using the onset of the central motor command (i.e., LRP, and the negative Laplacian potential) and the onset of response-related EMG. Pre-motor time was
Serum S 100 β as a predictor of severity and outcomes for mixed subtype acute ischaemic stroke

Introduction: Serum S100 levels are mostly used for predicting outcomes of large vessel stroke (LVS). Its application for mixed subtypes of acute ischaemic stroke (AIS) is limited. Methods: Patients with mixed subtype of AIS, aged over 18 years, who presented within 24 hours of stroke onset were consecutively enrolled. Serum S100 levels at presentation (S100b) and 72 hours (S10072hrs), and corresponding National Institutes of Health Stroke Scale (NIHSSb and NIHSS72hrs, respectively) were assessed. Stroke outcomes were evaluated by modified Rankin Scale (mRs) at 30 days (mRs30) and 90 days (mRs90). Correlations between S100b, S10072hrs and difference between the two (∆S100) with corresponding NIHSS, mRs30 and mRs90 were evaluated (p < 0.05). Results: For analysis, 35 patients were eligible. On univariate analyses, stroke outcomes had significant association with S100b, S10072hrs, NIHSSb, NIHSS72hrs and ∆S100. Both S100b and S10072hrs correlated with corresponding NIHSS values (b = 0.51, p < 0.001; 72hrs = 0.74, p < 0.001), mRs30 (b = 0.58, p < 0.001; 72hrs = 0.72, p < 0.001) and mRs90 (b = 0.51, p = 0.002; 72hrs = 0.68, p < 0.001). Correlations existed between ∆S100 and mRs30 ( = 0.74, p < 0.001) and mRs90 ( = 0.71, p < 0.001). Practical cut-off points for unfavourable outcomes (mRs 3–6) were S10072hrs > 0.288 g/L (sensitivity 92.3%; specificity 86.4%) and ∆S100 > 0.125 g/L (sensitivity 100%; specificity 81.8%). Conclusion: High serum S100 is associated with unfavourable outcome for mixed subtype AIS. Cut-off values of S10072hrs and ∆S100 were optimal for predicting unfavourable stroke outcome.
STRESSORS , DISTRESS , AND BURNOUT : THE ROLE OF COPING STRATEGIES

Despite a large number of research, literature on coping strategies, their effects on burnout symptoms, and occupational stress in general is still somewhat inconclusive. Generally, it is considered that, for instance, using an active problem solving strategy usually alleviates burnout, while using an avoidant strategy will more likely boost its symptoms. Still, there are many authors who claim that measuring coping strategies in such a general way does not help in determining their effectiveness, and that there is no “one best way” of coping. The main aim of the present study is to test the possible mediating role of coping strategies in the relationship between stressors, distress, and burnout. A total number of 264 respondents (152 female [57.6%]) participated in the study. They completed the Sources of Stress Scale, the Coping Strategies Indicators, a distress scale from the 4-dimensional Symptoms Questionnaire, and a work burnout scale from the Copenhagen Burnout Inventory. Results of the path analysis showed that work stressors exercised a significant direct effect on both distress and burnout. Moreover, distress also had a direct effect on burnout. Finally, contrary to the hypotheses, none of the three coping strategies proved to be the mediators in these relationships. The results once again call researchers to redirect their attention to specific contexts in which coping strategies are used and to focus more on specific coping behaviors. Such efforts would help us clarify what thoughts and actions are more or less helpful in the prevention of distress and burnout.
Phylogenetic and morphological appraisal of Diatrype lijiangensis sp. nov. (Diatrypaceae, Xylariales) from China

The majority of Diatrype species are saprobes, while a few species are pathogens which form cankers on forest trees. The placement of several species in the genus Diatrype is uncertain, as the phylogeny has yet to be well-resolved with extensive taxon sampling and authentic ex-type cultures. In this study, a diatrype-like taxon was found on decaying wood in Lijiang, Yunnan Province, China. Morphological characteristics and phylogenetic analyses of combined ITS and βtubulin sequences, supported the conclusion that the taxon is a new species, which is named as Diatrype lijiangensis. The new species differs from other species of Diatrype in asci and ascospore characteristics. The morphological similarities and dissimilarities of the new species with phylogenetically close alliances are discussed. Micro-morphological characteristics of this novel taxon are illustrated with descriptions.
A DATA MINING METHODOLOGY WITH PREPROCESSING

This paper analyzes various problems that appear while performing data mining. The issues of data quality are discussed. The main focus is set on feature selection and its influence on classification results. Feature selection, or discovery of an optimal data set is a process of removing features from the data set that are not useful in decision making, and leaving the most useful ones. The influence of feature selection is analyzed for different classification algorithms. They are applied on two different (in constitution) data sets to solve three problems of medical domain. Presented results show that there is no universal algorithm, whitch could help solving any problem, as well as each data set has its own optimal (sub)set suitable for the classification algorithm. Methodological recommendations to reach possibly optimal solution are given to perform clinical decision support.
High-Performance Liquid Chromatography Determination of Acrylamide after Its Extraction from Potato Chips

Background: Acrylamide is a known carcinogenic product that has been found among the substances such as potato chips which to be processed under the heat-treatment. In order to extract amounts of acrylamide from fried chips in market, an ultrasound-assisted liquid– liquid extraction (UA-LLE) technique is proposed. The UA-LLE coupled LLE and ultrasonication in a single step. Methods: Chips samples were dissolved in an extracting organic solvent using ultrasonication to prompt transferring of acrylamide into the organic phase. As a result, the extraction time and process efficiency were significantly enhanced through increasing the collision power and mass transfer between grounded chips and organic phase. Results: Important parameters affecting the extraction efficiency such as kind of organic solvent and its volume, re-dissolving solvent and pH were optimized. This newly proposed method has been applied to determine the trace acrylamide in potato chips samples purchased from local market. Conclusion: UA-LLE is a handy, economic and time-saving method, with high extraction yield (over 103% average recovery) and good precision (lower than 15% relative standard deviation, RSD). Most importantly, it seems this method to be an ideal pre-treatment method for the extraction of acrylamide in food matrix in food quality control laboratories.
Interactive comment on “ Late Miocene thrusting in the North Alpine foreland : Driven by a deep-seated process and shaped by the local mechanical stratigraphy ” by Samuel Mock et al .

We appreciate the referee’s detailed and constructive comments on our manuscript. We are pleased to see that most of the comments are minor in nature. The referee’s major points of concerns are (1) the ambiguity regarding to where the focus of the study is throughout the manuscript and the somewhat unclear terminology regarding the geographical and tectonic descriptions (e.g. Central vs. Eastern Alps), and (2) the lack of data to justify the along-strike comparison which we aim for in the manuscript.
CORRIGENDUM to “ SEMANTIC PHOTOGRAMMETRY – BOOSTING IMAGE-BASED 3 D RECONSTRUCTION WITH SEMANTIC LABELING ”

Automatic semantic segmentation of images is a prominent research field with promising and reliable solutions already available, based on recent advances in machine learning. At the same time, using image labels as input to image-based 3D reconstruction is believed to have an enormous potential to improve the quality of its results. In this work we discuss this argument, exploring the contribution of semantic labelling towards 3D reconstruction in photogrammetry. We experiment with semantic information in various steps of the pipeline starting from feature matching to dense 3D reconstruction. Labelling in 2D instead of 3D is considered as an easier task in terms of data availability and algorithm maturity. However, since semantic labelling of all the images involved in the reconstruction may be a costly, laborious and time consuming task, we propose to use a deep learning architecture to automatically generate semantically segmented images. To this end, we have trained a Convolutional Neural Network (CNN) on historic building façade images that will be further enriched in the future. The first results of this study are promising, with an improved performance on the quality of the 3D reconstruction and the potentiality to transfer the labelling results and get, thus, a labelled 3D model. a) b) c) d) Figure 1: Boosting photogrammetric 3D reconstruction with semantic information: an input image from a dataset of terrestrial acquisitions (a), its corresponding automatic labelling in 4 classes (b), the recovered camera poses of the image dataset (c) and the semantic 3D reconstruction (d). Semantic aids also the various photogrammetric steps, from tie point extraction to dense image matching.
Formulation Development of Some Fluorescent Pseudomonads for Controlling of Meloidogyne incognita on Pistachio

Plant growth which promotes rhizobacteria (PGPR) has a potential role in controlling root-knot disease. To reach the aim of this study, we used rhizobacteria replaced by chemicals to reduce this problem in Pistachio trees. Based on the previous studies, some strains with high ability were selected to reduce root knot severity. Three different formulations were prepared, using different carriers of materials named; wheat bran, dried apple and talc powder. we have used six individual strains of P. fluorescens and one combination of two strains (Vupf506+Vupf52). These formulations were tested to control M. incognita in Pistachio seedlings in the greenhouse condition. The wheat bran based treatments was effective in reducing disease by 32.7 to 88.9%. The bacteria survived longer in wheat bran-based and talc-based formulations than in dried apple-based formulation. The results of the study indicated that organic carriers can be efficiently used to improve the stability and efficiency of biocontrol-active microorganisms in controlling the Pistachio rootknot disease. keywords: Biological control, Meloidogyne incognita, Pistacia vera, Pseudomonas fluorescens.
The Effect Of Eicosapentanoic Acid Administration On Clinical Outcome Of Patients With Major Depression : A Pilot Study

Background: Major depressive disorder (MDD) is a common brain disorder that affects approximately 10% of the world population and leads to significant disability. The current study was aimed to evaluate the impact of Omega3 PUFAs administration on the clinical outcome of patients with depression. Patients and Methods: This prospective, randomized controlled study included a total of Forty-two patients who diagnosed with depression according to a strict inclusion and exclusion criteria, attending at the outpatient clinics of the Department of Psychiatry, Al-Zahraa University Hospital, Cairo, Egypt. Approval of the Ethical Research Committee of Faculty of Pharmacy, Ain Shams University (registration number 61), and a written informed consent from all the subjects were obtained. This study was conducted between February 2015 till August 2016. patients were randomly assigned to either; Group1; (intervention n=21); received the prescribed antidepressant + omega3 (2100mg) for 8 weeks, or Group 2; (control, n=21); received the prescribed antidepressant only for 8 weeks. Baseline evaluation and 8-week assessment included; patient demographicdata collection, history taking and clinical assessment of DSM-5 criteria & HAM-D score. Laboratory assessment included; complete blood picture (CBC), prothrombin time (PT), activated partial thromboplastin time (aPTT). Patients were followed up regularly every 2 weeks for 8 weeks for the occurrence of side effects due to antidepressants/ Omega 3 and compliance with medications. Results: The 2 groups were comparable at baseline. The test group showed a significant improvement in the HAMD score from baseline values and versus the control. There was no significant difference in the reported side effects between the 2 groups. Conclusion: Omega -3 PUFAs administration at a dose of 2100 (EPA1350 mg/ , DHA 600 mg/ 150 mg other omega 3 FA) for 8 weeks, improved depression symptoms and was well tolerated.
Dero 4 simulator as a didactic tool

Thework presents the Dero simulatorwith a behavioralmodel description language. Behavioral description enables modeling and simulation of physical phenomena. Thanks to these features, the Dero can be used in the didactic process as a modeling and simulation tool. The interface through websites has been integrated with the Quela learning process management platform. The system allows the creation of virtual laboratories. Symulator Dero 4 jako narzędzie dydaktyczne Słowa kluczowe: narzędzia dydaktyczne, symulator mikrosystemów, systemy zdalne, wirtualne laboratoria, nauczanie zdalne
Corporate Debt Policy of Malaysian SMEs : Empirical Evidence from Firm Dynamic Panel Data

Financing has been identified as a dominant constraint to Malaysian small and mediumsized enterprises (SMEs). Yet, limited attention has been given to the challenges faced by the SMEs in financing their operations. This paper investigates the determinants of capital structure and use of financing for Malaysian SMEs in manufacturing sector and examines hypotheses by utilising a static trade-off choice or pecking order framework by employing a series of firm characteristics including: size, age, asset structure, profitability, growth, taxation and risk. The system Generalised Method of Moment (GMM) approach has been used for the estimation. The findings suggest that most of the determinants of capital structure presented by the theory of finance appear to be relevant for the Malaysian SMEs. Firm size and asset structure have a significantly positive effect on the leverage ratio in SMEs, while age and taxation have a negative effect. Though, growth has an impact on the total debt of the firms, profitability and risk does not have any significant effect on the decision of debt decision making in Malaysian SMEs. Furthermore, the findings of the study show that Malaysian SMEs in the manufacturing sector generally operate based on a combination of the pecking order and the trade-off theory while borrowing in the long-term and short-term. JEL Classification: L11,O1,O4
E C G STUDENT INV LVEMENT THROUGH SU PORT SERVICES OFFE-RED: ./ CA OF DIS ANCE EDUCAtiON IN SRI1:ANKA

is ance education encourages lifelong learning especially for those who have inner quest for higher education yet have missed the opportunity due to one or more reasons. Despite the popularity and demand, the system has been suffering from inherent and critical issues as higher student dropout rate, longer completion time of study programmes by students and comparatively low academic performance. Even though suggestions to overcome these issues by previous studies focus on services offered by distant education institutes, they alone cannot overcome them as It requires students to involve in academic matters since in distance education system, self-responsibility towards academic activities is crucial. Therefore, this paper investigates the impact of support services on student involvement in distance education in Sri Lanka and, examines whether this impact is mediated by student experience quality. For this purpose, quantitative research approach based on crosssectional survey design was used. Data were collected using a structured questionnaire. Sample consisted of 400 undergraduates of the Open University of Sri Lanka, drawn using simple random sampling technique. Data which were analyzed using Structural Equation Modeling revealed that there is a direct impact of support services on student involvement. Mediating effect was substantiated where it partially mediates the impact of support services on student involvement. The validated model after data analysis is a novel model unique to the distance education. Further, findings facilitate in service designing process and thereby enable to address the prevailing issues in the distance education context. Thus, the study is enriched with number of implications in terms of theoretical, managerial and societal.
The High-Volume Return Premium: Evidence from the Australian Equity Market

The relationship between the trading volume and changes in expected return is investigated in this research. Daily and weekly data are used to examine if trading volumes have predictive power for stock prices in the following days/weeks. Results suggested that stocks experiencing extreme higher (low) volumes are usually followed by relatively higher (low) returns for large firms in Australian market only for a short horizon. However, the volume-return premium cannot be found for small firms during the same time period. Possible explanations for this high volume return premium include: return autocorrelation, systematic risk and outliers.