Miracle-dz/UniFAR-FTUs huggingface dataset:
Pan-African metamorphic and magmatic rocks of the Khanka Massif, NE China: further evidence regarding their affinity

Abstract The Khanka Massif is a crustal block located along the eastern margin of the Central Asian Orogenic Belt (CAOB) and bordered to the east by Late Jurassic–Early Cretaceous circum-Pacific accretionary complexes of the Eastern Asian continental margin. It consists of graphite-, sillimanite- and cordierite-bearing gneisses, carbonates and felsic paragneisses, in association with various orthogneisses. Metamorphic zircons from a sillimanite gneiss from the Hutou complex yield a weighted mean 206Pb/238U age of 490 ± 4 Ma, whereas detrital zircons from the same sample give ages from 934–610 Ma. Magmatic zircon cores in two garnet-bearing granite gneiss samples, also collected from the Hutou complex, yield weighted mean 206Pb/238U ages of 522 ± 5 Ma and 515 ± 8 Ma, whereas their metamorphic rims record 206Pb/238U ages of 510–500 Ma. These data indicate that the Hutou complex in the Khanka Massif records early Palaeozoic magmatic and metamorphic events, identical in age to those in the Mashan Complex of the Jiamusi Massif to the west. The older zircon populations in the sillimanite gneiss indicate derivation from Neoproterozoic sources, as do similar rocks in the Jiamusi Massif. These data confirm that the Khanka Massif has a close affinity with other major components of the CAOB to the west of the Dun-Mi Fault. Based on these results and previously published data, the Khanka Massif is therefore confirmed as having formed a single crustal entity with the Jiamusi (and possibly the Bureya) massif since Neoproterozoic time.
Exploring geo-tagged photos to assess spatial patterns of visitors in protected areas : the case of park of Etna (Italy)

In this paper we use the georeferenced images publicly available on Flickr platform as a source of information to monitor visitors in nature areas. In particular, we propose and evaluate a method composed by three main steps to perform the analysis of social images related to natural park of Mount Etna. At first metadata of the georeferenced images are explored to identify trends, patterns and relationships among the information acquired. Then data mining techniques are used to generate a traveling model. Association rules that highlight locations visited jointly are identified using the Apriori data mining technique. Finally, we consider places that are likely to be jointly visited and analyze the tourist flow from one to another.
Computer Experiments: Prediction Accuracy, Sample Size and Model Complexity Revisited

We revisit the problem of determining the sample size for a Gaussian process emulator and provide a data analytic tool for exact sample size calculations that goes beyond the n = 10d rule of thumb and is based on an IMSPE-related criterion. This allows us to tie sample size and prediction accuracy to the anticipated roughness of the simulated data, and to propose an experimental process for computer experiments, with extension to a robust scheme.
Improved helmet design and test methods to reduce rotational induced brain injuries

Accidental impacts to the human head are often a combination of translational and rotational accelerations. The most frequent severe brain injuries from accidents are diffuse axonal injury (DAI) and subdural hematoma that both are reported to arise from rotational violence to the head. Most helmet standards used today do only take the translational accelerations into account. It is therefore suggested that an oblique impact test that measures both translational and rotational accelerations should be a complement to the helmet standards used today. This study investigates the potential to reduce the risk for DAI by improving the helmet design by use of an oblique helmet impact test rig. The method used is a detailed finite element (FE) model of the human head. The FE model is used to measure the maximum principal strain in the brain which is suggested as a measurement for the risk to get DAI. The results clearly show the importance of testing a helmet in oblique impacts. Comparing a pure vertical impact with a 45 degree oblique impact with the same initial impact energy shows that the strain in the central parts of the brain is increased with a factor of 6. It is therefore suggested that a future helmet impact standard should include a rotational component so that the helmet is designed for both radial and tangential forces. Such a test method, an oblique impact test, was used to compare two different helmet designs. One helmet was manufactured with the shell glued to the liner and one helmet was designed with a low friction layer between the shell and the liner (MIPS). It was shown that the strain in the FE model of the human head was reduced be 27% comparing the MIPS helmet to the glued helmet design.
Aerosols in Danish Air (AIDA)

In year 2000 the Danish Parliament decided to fund a four-year particle research programme, which should include characterization of physical and chemical properties of the particles in Denmark and their sources and also assess the adverse health effects and the socio-economic impact in the Danish society. The overall objective of the particle programme is to provide new and broader knowledge in Denmark on the health effect of atmospheric particles with the aim to develop strategies to reduce the adverse health effect of man-made and natural sources. The activities should be closely related to other activities in Denmark and internationally. Specifically National Environmental Research Institute (NERI) shall investigate emissions, size distributions, chemical composition, transformation and dispersion of particles. The present report is the mid-term report on the activities at NERI, and is a summary of the experimental results, analysis of particle in relation to sources especially road traffic and the papers published in connection with the programme.
Greenhouse gas emissions from membrane bioreactors

Nowadays, it is widely accepted that wastewater treatment plants (WWTPs) are significantly contributing to anthropogenic sources of greenhouse gas (GHG) emission. Among the GHGs emitted from WWTPs, nitrous oxide (N 2 O) has been identified as the potentially major component, due to its high global warming potential (GWP) which is 298 times higher than that of carbon dioxide (CO 2 ) and also to its capability to react with stratospheric ozone, causing ozone layer depletion. Up until now, most of the experimental investigations aimed at assessing the key mechanisms of N 2 O formation and the operational conditions that can enhance its emission, have been carried out on conventional activated sludge (CAS) processes, while the knowledge of N 2 O emission from advanced technologies such as membrane bioreactors (MBRs) is still very limited. Moreover, the specific peculiarities of MBRs might hamper the direct transferability of data measured on CAS systems. Therefore, there is a need to increase the knowledge about N 2 O emission from MBRs through experimental and mathematical modelling activities. The present chapter aims to provide some knowledge about GHG emissions from MBR systems, in particular regarding N 2 O emissions, by reporting some experimental data carried out on pilot plant systems of different configurations. The effect of specific wastewater features and operational conditions on N 2 O production/emission from MBRs are highlighted.
Comparing the Ability of Bayesian Networks and Adaboost for Predicting Financial Distress of Firms Listed on Tehran Stock Exchange (TSE)

Financial distress and bankruptcy of companies may cause the resources to be wasted and the investment opportunities to be faded. Bankruptcy prediction by providing necessary warnings can make the companies aware of this problem. The aim of this study is to compare the ability of Bayesian networks and adaboost for predicting financial distress of firms listed on Tehran Stock Exchange (TSE). Two naive bayes models were developed based upon conditional correlation between variables and conditional likelihood. The accuracy in predicting bankruptcy of the first naive bayes model's performance that is based upon conditional correlation is 90% and the accuracy of the second naive bayes model is 93% and finally the accuracy of the adaboost that was built to compare with naive bayes models is 88%. Collectively the results show that it is possible to predict financial distress using Bayesian and Adaboost models. But, Bayesian networks are more capable to predict financial distress of companies listed on TSE compare to Adaboost. With respect to the variables in developed models in this research we find that firms with lower profitability and more long term liabilities and lower liquidity are more in Risk of financial distress. To reduce financial distress risk, firms should use more conservative methods which lead to decrease in debts and reduce their costs.
Pharmacognostic Evaluation of Curcuma longa L. Rhizome and Standardization of its Formulation by HPLC Using Curcumin as Marker

Objective: To evaluate Curcuma longa rhizome by pharmacognostic and phytochemical analysis and standardize one of its formulations by HPLC. The present work includes macroscopic study, microscopic analysis of cross section and powder of rhizome, fluorescence analysis, qualitative and quantitative phytochemical assay and chromatographic fingerprinting of its polyherbal formulation, Pathyashadangam kwath using curcumin as marker carried out as per standard laboratory procedures. The study helps to provide both diagnostic features for identification and preventing adulteration of Curcuma longa L and HPLC chromatogram for standardisation of its formulation. Results: Microscopic analysis revealed the presence of a broad parenchymatous cortex with abundant starch grains in the cross section, spiral vessels, starch grains having hilum towards the narrower end, fibres and cells with oleo resin in powder microscopy. HPLC analysis revealed the presence of three peaks corresponding to curcuminoids in the formulation. Conclusion: Pharmacognostic and phytochemical evaluation can be used for confirming the identity of Curcuma longa rhizome and HPLC using curcumin as marker can be used for standardisation of its formulations.
Prospects for detection of detached double white dwarf binaries with Gaia, LSST and LISA

Double white dwarf (DWD) binaries are expected to be very common in the Milky Way, but their intrinsic faintness challenges the detection of these systems. Currently, only a few tens of detached DWDs are know. Such systems offer the best chance of extracting the physical properties that would allow us to address a wealth of outstanding questions ranging from the nature of white dwarfs and thermonuclear supernovae, over stellar and binary evolution to mapping the Galaxy. In this paper, we explore the prospects for detections of ultra-compact (with binary separations of a few solar radii or less) detached DWDs in (1) optical radiation with Gaia and the Large Synoptic Survey Telescope (LSST) and (2) gravitational wave radiation with Large Synoptic Survey Telescope (LISA). We show that Gaia, LSST and LISA have the potential to detect, respectively, around a few hundred, a thousand and 25 thousand DWD systems. Moreover, Gaia and LSST data will extend by, respectively, a factor of 2 and 7 the guaranteed sample of LISA verification sources, binaries detectable in electromagnetic and gravitational wave radiation, opening the era of multimessenger astronomy for these sources.
Influence of Human Activities on the Distribution of Amphibians and Reptiles in the Salamanca Province , Spain

i Acknowledgements . ii List of figures . v List of tables . vii Acronyms . viii 1. GENERAL INTRODUCTION . 1 1.1. Introduction . 1 1.2. Research objectives . 3 1.2.1. Overall objective . 3 1.2.2. Specific objectives . 3 1.3. Research questions . 3 1.4. Research hypothesis . 3 2. MATERIALS AND GENERAL METHODOLOGY . 5 2.1. Study area . 5 2.2. Field survey and species data . 6 2.3. Parameters dataset . 10 2.4. General introduction of methodology . 12 3. HUMAN ACTIVITIES INFLUENCING SPECIES DISTRIBUTION . 15 3.
A QUASI-EXPERIMENTAL PILOT STUDY OF THE EFFECTS OF A STRESS MANAGEMENT & HEALTH PROMOTION PROGRAM IN CHILDREN WITH ADHD

Objective: The purpose of the present study was to investigate the effects of a stress management and health promotion program on the primary and secondary symptoms of Attention Deficit/Hyperactivity Disorder (ADHD) as well as on other variables concerning the daily routine and lifestyle of children with ADHD. Furthermore, the effects on the levels of perceived stress and the quality of life of parents of children with ADHD were investigated. Method: The research type was quasi-experimental. Two groups were created (intervention and control group) with a total of 50 participants. Each participant in the intervention group engaged in 8 meetings over a period of two months. The intervention program included information relevant to stress and lifestyle (daily and eating habits, routine, exercise, sleep) as well as the application of cognitive behavioral therapy and stress management techniques. Results: The results are summarized as follows: significant decrease in anxiety and symptoms of ADHD, and improvement in sleep conditions, eating habits and frequency of physical exercise of the children were noted. Furthermore, a positive effect on perceived stress and quality of life of the parents of children with ADHD was observed. Conclusions: The results of the present study show that the stress management and health promotion program significantly improves both the symptoms of the disorder and the emotional state of children with ADHD, as well as their general lifestyle. Article visualizations:
A strong type (2,2) estimate for a maximal operator associated to the Schrödinger equation

Soit T*f(x)=sup t>0 |T t f(x)|, ou (T t f) 1 (ξ)=exp it|ξ| 2 •f(ξ)/|ξ| 1/4 . On montre que, etant donne un intervalle fini I, ∫ I |T*f| 2 dx ≤C I ∫ R |f(x)| 2 dx
Efeito antimicrobiano in vitro da associação de polimixina B e ceftazidima em amostras clínicas de pseudomonas aeruginosa - DOI: 10.4025/cienccuidsaude.v7i0.6569

The antibiotics association is an alternative to treat infectious diseases, either caused by polymicrobial etiology or those caused by multidrug-resistant bacteria, such as Pseudomonas aeruginosa. In this study, the in vitro antimicrobial activity of the polymyxin B and ceftazidime combination was investigated in 20 clinical isolates of P. aeruginosa. Initially, the minimum inhibitory concentration (MIC) of those agents was determined by using the broth microdilution technique for each of the selected strains. Afterwards, based on MIC values, the antimicrobial effect of the polymyxin B and ceftazidime combination was evaluated by making use of "checkerboard" method. The results demonstrated that all P. aeruginosa strains studied were sensitive to polymyxin B, with MICs varying from 1 to 2 µg/ml. In relation to ceftazidime, MICs varied from 2 to 8 µg/ml in nine sensitive strains, and from 16 to 1.024 µg/ml in 11 strains resistant to that antibiotic. For all strains tested, the antimicrobial effect of the polymyxin B and ceftazidime combination was indifferent, thus suggesting that such an association, when used as a combined in vivo therapy, sometimes does not present any activity superior to the one obtained with monotherapy.
The market features of imported non-indigenous polychaetes in Portugal and consequent ecological concerns

The importance of the market for polychaetes dramatically increased after the discovery of their potential as food in aquaculture. In Portugal, the gathering of polychaetes solely from natural populations is not sufficient to meet market demand, both as bait for sea anglers and as a food item in aquaculture. The requests for worms to polychaete dealers by Portuguese and Spanish seafarms have increased during recent years. Due to the lack of intensive culture of these worms in Portugal and the proximity of southern Spanish farms, a large component of imported polychaetes that arrive in Portugal at Lisbon Airport go directly to Spain by road. In 2002 and 2003 a total of 12,728,379 and 16,866,839 polychaetes respectively were imported to Europe via Lisbon Airport from China and the USA. In 2003 the imports from China and the USA realised 716,180 and 291,845 US dollars respectively. Two species were reported to have been imported in these years, namely the Korean blue ragworm Perinereis aibuhitensis and the American bloodworm Glycera dibranchiata . Imports of non-indigenous species, which are traded and sold alive, may increase the risk of accidental introduction into the wild. This is of special concern as Perinereis aibuhitensis has been successfully reared in captivity within the range of environmental conditions existing in the Ria Formosa coastal lagoon. Other risks associated with introduced species are the transport of foreign pathogens and other associated non-native organisms, which may act as carriers of disease.
� , �-�ih�dro���avone �nhances the Apoptosis-Inducing Potential of TRAIL in Human Tumor Cells via Regulation of Apoptosis-Related Proteins

Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) is a promising candidate for the treatment of cancer, because it preferentially induces apoptosis in numerous cancer cells with little or no effect on normal cells. 5,7-Dihydroxy�avone is a dietary �avonoid commonly found in many plants. Here we show that the combined treatment with 5,7-dihydroxy�avone and TRAIL at subtoxic concentrations induced strong apoptotic response in human hepatocarcinoma HepG2 cells, acute leukemia Jurkat T cells, and cervical carcinoma HeLa cells. �e further investigated the mechanisms by which 5,7-dihydroxy�avone augments TRAILinduced apoptosis in HepG2 cells. 5,7-Dihydroxy�avone up-regulated the expression of pro-apoptotic protein Bax, attenuated the expression of anti-apoptotic proteins Bcl-2, Mcl-1, and IAPs, and reduced the phosphorylation levels of Akt and STAT3, weakening the anti-apoptotic signals thus facilitating the process of apoptosis. Moreover, 5,7-dihydroxy�avone and TRAIL were well tolerated in mice, and the combination of 5,7-dihydroxy�avone and TRAIL reduced tumor burden in vivo in a HepG2 tumor xenogra� model. Interestingly, 5,7-dihydroxy�avone-mediated sensitization to TRAIL-induced cell death was not observed in normal human hepatocytes L-�2. ese results suggest that the 5,7-dihydroxy�avone in combination with TRAIL might be used for cancer prevention and/or therapy.
Joint Modelling of Longitudinal and Survival Data: A comparison of Joint and Independent Models

In recent years, the interest in longitudinal data analysis has grown rapidly through the development of new methods and the increase in computational power to aid and further develop this field of research. One such method is the joint modelling of longitudinal and survival data. It is commonly found in the collection of medical longitudinal data that both repeated measures and time-to-event data are collected. These processes are typically correlated, where both types of data are associated through unobserved random effects. Due to this association, joint models were developed to enable a more accurate method to model both processes simultaneously. When these processes are correlated, the use of independent models can cause biased estimates [3, 6, 7], with joint models resulting in a reduction in the standard error of estimates. Thus, with more accurate parameter estimates, valid inferences concerning the effect of covariates on the longitudinal and survival processes can be obtained. The purpose of this research is to compare independent and joint models to demonstrate the benefits of using joint models to handle correlated longitudinal and survival data. This research will investigate the known association between haemoglobin fluctuations and the survival of dialysis patients [8]. The focus of this research will be on the survival of haemodialysis patients where the effect of haemoglobin is accounted for as a time-dependent covariate. To do so, joint and independent models will be built using UK Renal Registry (UKRR) data, collected over a three year period, consisting of 5860 haemodialysis patients with just over 59,000 observations. One approach commonly used to build a joint model is to simultaneously model the longitudinal and survival processes by linking them using unobserved random effects through the use of a shared parameter model. The joint model links a multilevel mixed model and a Cox Proportional Hazards (PH) model. It will be compared to the corresponding independent models. The remainder of this paper is organised as follows. Section 2 details the joint model structure and Section 3 describes the UK renal data that will be modelled using the shared parameter model. The results of this model and the corresponding independent models will be given and discussed in Sections 4 and 5 respectively.
Customer-Perceived Insecurity of Online Shopping Environment

Customer-perceived insecurity of online shopping environment has become one of the major obstacles to the growth of electronic commerce. The main purpose of this study was to examine the influence of insecurity of Internet usage towards online purchase decision as well as consumers’ attitudes and intentions towards online purchasing. The data was collected through survey questionnaire using the purposive sample of 253 Croatian students from the University of Dubrovnik. Research results indicate a significant relationship between the insecurity of Internet usage and online purchase decision. Additionally, a significant relationship was found between the insecurity of Internet usage and consumers’ attitudes and intentions towards online purchasing. The overall analysis reveals that consumers have positive attitudes and intentions towards online purchasing whilst insecurity towards online purchasing lowers when online purchases are made more frequently.
Optimization of CNFET Parameters for High Performance Digital Circuits

The Carbon Nanotube Field Effect Transistor (CNFET) is one of the most promising candidates to become successor of silicon CMOS in the near future because of its better electrostatics and higher mobility. The CNFET has many parameters such as operating voltage, number of tubes, pitch, nanotube diameter, dielectric constant, and contact materials which determine the digital circuit performance. This paper presents a study that investigates the effect of different CNFET parameters on performance and proposes a new CNFET design methodology to optimize performance characteristics such as current driving capability, delay, power consumption, and area for digital circuits. We investigate and conceptually explain the performance measures at 32 nm technologies for pure-CNFET, hybrid MOS-CNFET, and CMOS configurations. In our proposed design methodology, the power delay product (PDP) of the optimized CNFET is about 68%, 63%, and 79% less than that of the nonoptimized CNFET, hybrid MOS-CNFET, and CMOS circuits, respectively. Therefore, the proposed CNFET design is a strong candidate to implement high performance digital circuits.