Miracle-dz/UniFAR-FTUs huggingface dataset:
BIOCHEMICAL AND CHEMICAL PARAMETERS CHANGES IN THE BLOOD OF CHICKENS FOLLOWING TREATMENTS WITH MADURAMYCIN, MONENSIN AND DICLAZURIL

The aim of this study was to monitor the biochemical and chemical parameters of the blood of commercial chickens following treatment with one of three coccidiostats: maduramycin, monensin or diclazuril. Chickens received feed treated with maduramycin at concentrations of 5, 10 and 15 mg kg -1 , monensin at 125, 225 and 325 mg kg -1 or diclazuril at 1, 5 and 10 mg kg -1 . A control group of chickens consumed feed without the addition of coccidiostats. Following treatment, blood was sampled for 11 days and analysed for the following biochemical and chemical parameters: aspartate aminotransferase (AST), bile acid (BA), creatine kinase (CK), uric acid (UA), glucose (GLU), cholic acid (CA), total protein (TP), albumin (ALB), globulin (GLOB) and phosphorus (PHOS). Administration of different concentrations of maduramycin, monensin and diclazuril did not affect the concentration of the parameters AST, UA, GLU, BA, TP, ALB, GLOB and PHOS in experimental groups of broilers in relation to the control group. However, significant differences were observed in the concentrations of CK and CA between the experimental and control groups. Significant differences were also found in the concentrations of AST, CA and UA between experimental groups. Key words: maduramycin; monensin; diclazuril; chickens; biochemical and chemical parameters SPREMEMBE BIOKEMIJSKIH IN KEMIJSKIH PARAMETROV V KRVI KOKOSI PO ZDRAVLJENJU Z MADURAMICINOM, MONENZINOM IN DIKLAZURILOM Namen raziskave je bil spremljanje biokemijskih in kemijskih parametrov krvi industrijsko gojenih piscancev po zdravljenju z enim od treh kokcidiostatikov: maduramicinom, monenzinom ali diklazurilom. Piscanci so dobivali krmo z maduramicinom v koncentracijah 5, 10 in 15 mg/kg, monenzin v koncentracijah 125, 225 in 325 mg/kg ali diklazuril v koncentracijah 1, 5 in 10 mg/kg. Kontrolna skupina piscancev je dobila krmo brez dodatka kokcidiostatikov. Enajsti dan po zdravljenju je bila piscancem odvzeta kri in analizirani so bili naslednji biokemijski in kemijski parametri: koncentracija aspartatne aminotransferaze (AST), žolcnih kislin (BA), kreatininske kinaze (CK), secne kisline (UA), glukoze (Glu), skupnih beljakovin (TP), albuminov (ALB), globulinov (GLOB) in fosforja (Phos). Dodajanje razlicnih koncentracij maduramicina, monenzina in diklazurila ni vplivalo na koncentracijo parametrov AST, UA, Glu, BA, TP, ALB, GLOB in Phos v poskusnih skupinah pitovnih piscancev v primerjavi s kontrolno skupino. Statisticno znacilne razlike so bile ugotovljene v koncentracijah CK in CA med poskusnimi in kontrolno skupino. Znacilne razlike so bile ugotovljene tudi v koncentracijah AST, CA in UA med posameznimi poskusnimi skupinami. Kljucne besede: maduramicin; monenzin; diklazuril; piscanci; biokemijski in kemijski parametri
Pure Micropapillary Rectal Carcinoma with CK 7 and CK 20 Coexpression and Loss of CDX 2 Reactivity Carcinoma

The micropapillary carcinoma is regarded as an aggressive variant of adenocarcinoma in any location. Histologically is characterized by papillary cell clusters surrounded by clear spaces. The reported proportion of micropapillary carcinoma com ponent t the entire tumor ranged from 5 to 80% and no pure cases has been reported. There are near of 130 cases reported to date in colo rectum. We experienced a patient with a pure micropapillary carcinoma showing coexpression of CK7, CK20, and absence of CDX2, which had an aggressive neoplasm with extense perineural, vascular and lymphatic invasion also extensive nodal metastasis. The presence o f a micropapillary carcinoma in the colorectum seemed to be closely related with nodal metastasis, similar to the case for micropap illary carcinomas in other organs. Therefore, if a micropapillary component is identified in a tumor, particularly in a biopsy specime n, even if the pre-operative diagnosis is a pedunculated early colorectal cancer, should be carefully consider the extent of surgical rese ction due to the high potential for nodal metastasis.
Molecular Gas Dominated 50 kpc Ram Pressure Stripped Tail of the Coma Galaxy D100

We have discovered large amounts of molecular gas, as traced by CO emission, in the ram pressure stripped gas tail of the Coma cluster galaxy D100 (GMP 2910), out to large distances of about 50 kpc. D100 has a 60 kpc long, strikingly narrow tail, which is bright in X-rays and Hα. Our observations with the IRAM 30 m telescope reveal in total H2 (assuming the standard CO-to-H2 conversion) in several regions along the tail, thus indicating that molecular gas may dominate its mass. Along the tail, we measure a smooth gradient in the radial velocity of the CO emission that is offset to lower values from the more diffuse Hα gas velocities. Such a dynamic separation of phases may be due to their differential acceleration by ram pressure. D100 is likely being stripped at a high orbital velocity km s−1 by (nearly) peak ram pressure. Combined effects of intra-cluster medium (ICM) viscosity and magnetic fields may be important for the evolution of the stripped interstellar matter. We propose that D100 has reached a continuous mode of stripping of dense gas remaining in its nuclear region. D100 is the second known case of an abundant molecular stripped gas tail, suggesting that conditions in the ICM at the centers of galaxy clusters may be favorable for molecularization. From comparison with other galaxies, we find that there is a good correlation between the CO flux and the Hα surface brightness in ram pressure stripped gas tails, over ∼2 dex.
Antimicrobial activity of mangrove plants of Goa, India against human pathogenic bacteria

Abstarct-Mangroves grow in saline coastal habitats in the tropical and subtropical regions. Mangrove ecosystem is of a great ecological and socioeconomic significance. MandoviZuari estuarine complex in Goa are well known mangrove forests on the west coast of India. Different species of mangrove plants are found and are abundant along the Mandovi estuary of Goa. Mangrove plants are explored from ancient times as folklore medicine against different bacterial and fungal infections. In this study, three different species of mangrove plants, Acanthus illicifolius, Ceriops tagal and Sonneretia caseolaris were collected from three different stations along the Mandovi estuary at Divar, Ribandar and Old Goa . The solvent extracts of dried and powdered leaves of these mangrove plants were further investigated to evaluate the antimicrobial activity against human pathogenic bacteria, Staphylococcus aureus , E.coli, Kliebsiella pneumoniae and Bacillus subtilis using well diffusion method. The results suggest an idea for further characterization of active compound from the effective mangrove plant, which can be used to control the drug resistant pathogenic bacteria.
Quantification of Indoor Air Pollution from Using Cookstoves and Estimation of Its Health Effects on Adult Women in Northwest Bangladesh

A longitudinal stove intervention study was conducted in Northwest Bangladesh between August 2005 and June 2009 to quantify the reduction of indoor air pollution from a Bangladeshi manufactured and commercialized cookstove (the BCSIR improved stove). In the post-intervention phase of the study, the indoor particulate matter (PM) size distribution and chemical composition, as well as carbon monoxide (CO) concentration, were characterized in 40 kitchens, 50% with the BCSIR improved stoves and 50% with traditional stoves. The TSI DustTrak, P-TRAK and Q-TRAK Plus, along with the UCB Particle Monitor and the Onset HOBO, were simultaneously deployed to continuously characterize Carbon Monoxide (CO) and Particulate Matter (PM). Detailed chemical composition was quantified from X-Ray Flouroscence and Carbon Analyzer. Median 24-hr concentrations for CO and PM2.5 were 2.5 mg/m^3 and 1.8 mg/m^3, respectively, for the unimproved mud stove kitchens and were 2.0 mg/m^3 and 0.73 mg/m^3, respectively, for the BCSIR improved stove kitchens. These differences were equivalent to 23% and 59% reduction of CO and PM2.5 concentrations, respectively. The cook's daily exposure was estimated from these measurements to assess health impacts. Ultrafine particle number concentrations were 15,000 ± 7,200 pt/cm^3 during non-cooking periods and 75,000 ± 31,000 pt/cm^3 during cooking periods. Of the chemical composition of the PM2.5 emitted from cooking, 59-60% was organic matter and 29-30% was elemental carbon. The predominant chemical species were elemental carbon (EC), organic carbon (OC), chlorine, and potassium. These results demonstrate possible reduction of PM and CO from cooking with improved stoves in rural areas in Bangladesh where solid fuels are used for cooking.
Cluster analysis of European surface ozone observations for evaluation of MACC reanalysis data

Abstract. The high density of European surface ozone monitoring sites provides unique opportunities for the investigation of regional ozone representativeness and for the evaluation of chemistry climate models. The regional representativeness of European ozone measurements is examined through a cluster analysis (CA) of 4 years of 3-hourly ozone data from 1492 European surface monitoring stations in the Airbase database; the time resolution corresponds to the output frequency of the model that is compared to the data in this study. K-means clustering is implemented for seasonal–diurnal variations (i) in absolute mixing ratio units and (ii) normalized by the overall mean ozone mixing ratio at each site. Statistical tests suggest that each CA can distinguish between four and five different ozone pollution regimes. The individual clusters reveal differences in seasonal–diurnal cycles, showing typical patterns of the ozone behavior for more polluted stations or more rural background. The robustness of the clustering was tested with a series of k-means runs decreasing randomly the size of the initial data set or lengths of the time series. Except for the Po Valley, the clustering does not provide a regional differentiation, as the member stations within each cluster are generally distributed all over Europe. The typical seasonal, diurnal, and weekly cycles of each cluster are compared to the output of the multi-year global reanalysis produced within the Monitoring of Atmospheric Composition and Climate (MACC) project. While the MACC reanalysis generally captures the shape of the diurnal cycles and the diurnal amplitudes, it is not able to reproduce the seasonal cycles very well and it exhibits a high bias up to 12 nmol mol−1. The bias decreases from more polluted clusters to cleaner ones. Also, the seasonal and weekly cycles and frequency distributions of ozone mixing ratios are better described for clusters with relatively clean signatures. Due to relative sparsity of CO and NOx measurements these were not included in the CA. However, simulated CO and NOx mixing ratios are consistent with the general classification into more polluted and more background sites. Mean CO mixing ratios are within 140–145 nmol mol−1 (CL1–CL3) and 130–135 nmol mol−1 (CL4 and CL5), and NOx mixing ratios are within 4–6 nmol mol−1 and 2–3 nmol mol−1, respectively. These results confirm that relatively coarse-scale global models are more suitable for simulation of regional background concentrations, which are less variable in space and time. We conclude that CA of surface ozone observations provides a powerful and robust way to stratify sets of stations, being thus more suitable for model evaluation.
Classification of New Titles by Two Stage Latent Dirichlet Allocation

With the rapid development of the Internet, thousands of different news reports from different channels are presented to us. So much news, particularly in the media sector, is an important question to be categorized and archived without human effort. In this study, it is aimed to be able to determine which news item belongs to large news headlines collected from news sites. For this, a two stage method is proposed, which is based on the classical Latent Dirichlet Allocation (LDA) algorithm used in the model. With the developed two stage LDA method, comparison of the conventional LDA was made. Then, by creating a file with an arff extension from the word weights of the topics, the success of the machine learning methods in Weka was measured.
Financial Valuation and Risk Management Working Paper No . 397 Reconsidering the Role of Money for Output , Prices and Interest Rates

New Keynesian models of monetary policy predict no role for monetary aggregates, in the sense that the level of output, prices, and interest rates can be determined without knowledge of the quantity of money. This paper evaluates the empirical validity of this prediction by studying the e¤ects of shocks to monetary aggregates using a VAR. Shocks to monetary aggregates are identi ed by the restrictions suggested by New Keynesian monetary models. Contrary to the theoretical predictions, shocks to broad monetary aggregates have substantial and persistent e¤ects on output and prices.
Computationally Efficient Image Super Resolution from Totally Aliased Low Resolution Images

This paper considers the problem of super-resolution (SR) image reconstruction from a set of totally aliased low resolution (LR) images with different unknown sub-pixel offsets. By assuming the translational motion model, a linear compact representation between the LR image spectrums and SR image spectrum, based on multi-coset sampling is provided. Based on this model, we formulate the joint estimation of the unknown shifts and SR image spectrum as a dictionary learning problem and alternating minimization approach is employed to solve this joint estimation. Two different approaches for obtaining the SR image; one based on estimated shifts and another based on estimate SR spectrum are described. The significant advantage of the proposed approach is the smaller matrix sizes to be handled during the computation; typically on the order of number of images and enhancement factors, and is completely independent on the actual dimensions of LR and SR images, hence requiring significantly lesser resources than the current state of the art approaches. Brief simulation results are also provided to demonstrate the efficacy of this approach.
Evaluation of Clustering Algorithms: a methodology and a case study

Clustering is often cited as one of the most efficient ways to face the challenging scaling problem. Thousands of different approaches for clustering have been proposed over the past decades. Hence, the problem of designing appropriate clustering algorithm has been slowly replaced by the problem of choosing one implementation of one given algorithm amongst a large number of choices. However, because of the complexity of the field, choosing the appropriate implementation can rapidly turn into a dilemma. This paper introduces a methodologyfor the evaluation of clustering algorithms based on (1) theoretical complementary quality measures proposed in a unified notation system, (2) empirical studies on original datasets and (3) new technological instruments useful to both run experiments and visually analyze the results. Such a methodology is important not only to facilitate the choice of a clustering algorithm but also to consolidate the validity of the resultsby enabling reproducibility and comparison of experiments. By proposing a methodology with a case study, our aim is to bring to the scene new insights on the evaluation and comparison of clustering approaches that hopefully help clarify the field.
Land-atmosphere exchange of carbon in a high-Arctic wet tundra ecosystem

Arctic ecosystems play a key role in the terrestrial carbon (C) cycle, but spa-tially explicit data on the C exchange is scarce in these remote areas. The global warming is especially dominant in the Arctic, and these areas are vul-nerable to climate change. It is therefore important to quantify and understand the processes affecting the C dynamics in these regions. In this thesis, the land-atmosphere exchange of C, with an emphasis on methane (CH4), was measured in a high-Arctic wet tundra ecosystem (Rylekaerene) in Zackenberg, north-eastern Greenland. Rylekaerene was a heterogeneous area concerning the source strength of CH4 and concerning which environmental variables that best determine the CH4 fluxes. For the central parts of Rylekaerene, temporal variability in CH4 fluxes was well correlated with soil temperature, gross primary production (GPP), active layer thickness and soil organic acids. The spatial variability in CH4 fluxes was closely correlated to water table depth (WtD), species compo-sition and soil organic acids. The CH4 fluxes remained low during autumn and early winter of both 2008 and 2009. The central parts of Rylekaerene acted as a C source during the warmer and wetter measurement season of 2008, whereas it was a C sink during the colder and drier measurement season of 2009. At a site at the edge of Rylekaerene, CH4 emissions were lower than at the central parts of the fen, most likely because of lower WtD and different plant species composition. At this site, the variability in CH4 flux was not explained by any of the above-mentioned factors. Increases in CH4 fluxes coinciding with soil freezing after the growing seasons were observed here in 2007, 2009 and 2010. Changes in peak growing season GPP 1992 to 2008 was investigated by combining satellite data with ground-based GPP measurements. The modeled results show a substantial increase in peak growing season GPP during this period. The GPP increase was accompanied by a strong increase in air tem-perature, possibly indicating that the increase in GPP was climate-driven. Changes in CH4 fluxes 1997-2010 was studied by combining satellite data with CH4 flux measurements. During 1997-2010, there were no major changes in modelled CH4 fluxes in Rylekaerene, and during this period no trend in soil temperature at 10 cm depth and WtD were seen. However, as changes both in temperature and hydrology are expected as global warming continues, it can be assumed that such changes will have strong effects on the land-atmosphere exchange of C in wet tundra ecosystems in the future.
Medium Sized High Tech International Acquisitions: A Longitudinal Perspective (1990-2011)

This article examines the various forms and strategical options that are found and employed when merging companies of any size with medium-sized technological companies, with a view to understanding what outcomes are involved. This research paper is based on a sample consisting of 5 738 mergers and acquisitions transactions in the high-tech sector, particularly those involving innovative companies with technological interests. The aim of this research is to show how these strategic manoeuvres operate, using a multi-criteria analysis chart that includes the size of the company, the level of participation, the nature of diversification, the duration of transactions and value ratios. In this way, the research will help to provide better understanding of the characteristics of these technological merger acquisition operations, creating a typology of operations and manoeuvres and correcting some of the beliefs commonly held.
Evaluation of microorganisms with sulfidogenic metabolic potential under anaerobic conditions

The aim of this work was to identify groups of micr oorganisms that are capable of degrading organic ma tter utilizing sulfate as an electron acceptor. The assa y applied for this purpose consisted of running bat ch reactors and monitoring lactate consumption, sulfate reduction a nd sulfide production. A portion of the lactate add ed to the batch reactors was consumed, and the remainder was conver ted into acetic, propionic and butyric acid after 1 11 hours of operation These results indicate the presence of su lfate-reducing bacteria (SRB) catalyzing both compl ete and incomplete oxidation of organic substrates. The sul fate removal efficiency was 49.5% after 1335 hours of operation under an initial sulfate concentration of 1123 mg/L . The SRB concentrations determined by the most pro bable number (MPN) method were 9.0x10 7 cells/mL at the beginning of the assay and 8.0x10 5 cells/mL after 738 hours of operation.
Airborne stratospheric ITCIMS measurements of SO2, HCl, and HNO3 in the aged plume of volcano Kasatochi

[1] Major explosive volcanic eruptions inject gases and ash particles into the stratosphere, resulting in significant impacts on ozone and climate. Here we report on fast and sensitive in situ measurements of sulfur dioxide (SO2), hydrochloric acid (HCl), and nitric acid (HNO3) in an aged stratospheric plume of volcanic origin made by an ion trap chemical ionization mass spectrometer (ITCIMS) aboard the research aircraft Falcon. Other instruments on the Falcon measured reactive nitrogen (NOy), carbon monoxide (CO), and ozone (O3) as well as the aerosol composition. The plume most likely originated from the 7–8 August 2008 eruption of the Aleutian volcano Kasatochi and almost 3 months later, on 31 October 2008, was encountered by the aircraft during two missions over Europe at altitudes between 7000 and 11,600 m. Within the plume, SO2 mixing ratios of up to 0.51 ppbv were about a factor of 10 higher than in the background stratosphere (0.02–0.055 ppbv). The molar ratios HCl/O3 and HNO3/NOy tended to be elevated by up to 19%, and HNO3/O3 also showed a substantial enhancement inside the plume. From our measurements we infer an upper limit of the e-folding lifetime of 62 days for SO2 conversion in the stratosphere, indicating that approximately 25% of the volcanic SO2 had not yet experienced OH-induced conversion to sulfuric acid. Our measurements contribute to a better understanding of the formation of volcanic aerosol and of heterogeneous reactions taking place on these particles in the lower stratosphere.
Statistical study of the influence of the data sampling interval on the estimation of wind turbine energy

Main deficiency for wind power is variability. It is really difficult to predetermine the wind’s potential since wind velocity cannot be controlled or predicted with pinpoint accuracy. In this paper, two different methods are applied in order to estimate the monthly wind energy for different sites; those estimations are done using Weibull distribution and calculating energy with direct integration methodology. In additional, the influence of the data sampling interval is studied. Investigations have showed that: The computational method based on integrating power versus time is more accurate. There is a very different distribution pattern of wind speed over months at selected stations. If wind speed data with an average one minute value is used, estimated energy varies randomly with sampling interval. The hourly time resolution, compared to one minute resolution provides satisfactory accuracy in wind energy estimation. It is sufficient to choose an hourly sample period to get good energy estimation. In case of data filtered respecting Shannon (for i.e. using a Butterworth filter), wind energy estimated decreases when the vesting period of the wind increases. With filtered data, for sampling intervals between one minute and thirty minutes, the energy decreases linearly. This result may be interesting in wind energy prediction. Results allow better design of wind or hybrid systems. Moreover, wind speed acquisitions are minimized. A shorter time of treatment and less expensive measurement equipments are required.
Temporal coherence of high-order harmonics

The generation of high-order harmonics in strong laser fields has been studied for several years and considerable progress has been made in the understanding of the physics involved. In different laboratories around the world, scientists are now beginning to explore the use of the harmonic radiation in novel applications in the extreme ultraviolet spectral region (XUV). In some applications, the lack of information regarding the coherence properties of the harmonic radiation is a restricting factor. We here present experimental results from an interference experiment, illustrating the potentials of harmonic radiation in applications requiring temporally coherent radiation in the XUV region.