Miracle-dz/UniFAR-FTUs huggingface dataset:
Handroanthus heptaphyllus MATTOS RESPONSE IN DIFFERENT VOLUMES OF SUBSTRATE AND BASE FERTILIZATION

The native forest species require the adoption of appropriate practices in the nursery, such as the definition of the container volume and base fertilizer, to develop seedlings at lower cost. Thus, this study aimed to evaluate morphological parameters capable of identifying sizes of containers and controlled release fertilizers (CRF) rates more suitable for the production of H. heptaphyllus seedlings. The experiment was conducted in a 2x4 factorial design, consisting of two container sizes (110 and 180 cm3) and four doses of CRF (0; 2.5; 5.0 e 7.5 g L of substrate). At the end of the seedling production cycle, 180 days after sowing, shoot height, stem diameter, dry mass (shoot, root and total), shoot dry mass/root dry mass ratio, Dickson Quality Index, and leaf area. In the condition of this study, a total dry mass demonstrated a robust parameter to predict about the quality of H. heptaphyllus seedlings. It is recommended the 180 cm3 tube and a minimum dose of 7.0 g L of CRF. H. heptaphyllus species is nutritionally demanding, positively responding to high dose of CRF.
The Effect of Business Model and Strict Accounting Uniformity on Qualitative Characteristics of Accounting Information

The main objective of this paper is to determine the role of accounting practices (Business Model and accounting uniformity) in supporting the decision-making process, via the improvement of financial reporting practices that can be used to assess a company's financial position and performance. The quantitative approach was selected as the research method for this study. The sample in this study is the academic staff in Iraqi universities. The data were collected using paper-based and Internet-based questionnaires. A total of 49 complete questionnaires were subsequently used for analyses. The research findings indicate that the adoption of a uniform accounting system in Iraq under a centralised economy had significantly increased the qualitative characteristics of accounting information, while other the findings show a non-significantly effect of the business model on the accounting information characteristics. The conducting of such researches in the field provides novelty in the literature among both emerging and developed economies. This is because, to the best knowledge of the researchers, there is no prior empirical study (within the literature) that combines these variables and evaluates their empirical significance.
Randomized clinical trial to determine the effectiveness of CO-oximetry and anti-smoking brief advice in a cohort of kidney transplant patients who smoke

Background: measure the efficacy of exhaled carbon monoxide (CO) measurement plus brief advisory sessions to reduce smoking exposure and smoking behaviour in kidney transplant recipients. Methods: Randomized, controlled, open-label clinical trial at a Spanish hospital.Smoking kidney transplant recipients giving their consent to participate were randomized to control (brief advice, n=63) or intervention group (brief advisory session plus measuring exhaled CO, n=59). Measurements: Sociodemographic characteristics, cardiovascular risk factors, treatment, rejection episodes, infections, self-reported smoking, drug use, level of dependence and motivation to stop smoking (Fagerström's and Richmond's test) and stage of change (Prochaska and DiClemente's Stages). Efficacy was assessed at 3, 6, 9 and 12 months as: cotinine test, CO levels in exhaled air, nicotine dependence, motivational stages of change, motivation to stop smoking, pattern of tobacco use and smoking cessation rates. Logistic regression models were computed. Results: At 12 months of follow-up, differences were found in exhaled CO between the intervention and control group(6.1±6.8vs.10.2±9.7ppm;p=0.028). Carboxyhemoglobin levels were lower in the intervention group as well as the positive cotinine test (1.2±1.2%vs.2.0±2.4%;p=0.039),(53.4%vs.74.2%). At 12 months, intervention reduces the probability of a positive urine test by 28%. Conclusions: Co-oximetry is a clinically relevant intervention for reduction of tobacco exposure in kidney transplant recipients.
Lipidomic profiling of chorionic villi in the placentas of women with chronic venous disease

Background: Chronic venous disease (CVD) is a prevalent lower limb venous pathology that especially affects women, who also show an increased risk of this disease during pregnancy. Studies have shown significant structural changes in the placentas of women with CVD and several markers of tissue damage have been also described. Patients and Methods: To try to understand the different placental pathologies, research efforts have focused on examining metabolomic profiles as indicators of the repercussions of these vascular disorders. This study examines changes produced in the metabolomic profiles of chorionic villi in the placentas of women with CVD. In a study population of 12 pregnant women, 6 with and 6 without CVD, we compared through mass spectroscopy coupled to ultra-high performance liquid chromatography (UHPLC-MS), 240 metabolites in chorionic villus samples. Results: This study is the first to detect in the placental villi of pregnant women with CVD, modifications in lysophosphatidylcholines and amino acids along with diminished levels of other lipids such as triglycerides, sphingomyelins, and non-esterified omega 9 fatty acids, suggesting a role of these abnormalities in the pathogenesis of CVD. Conclusions: Our findings are a starting point for future studies designed to examine the impacts of CVD on maternal and fetal well-being.
The use of NSP enzymes in poultry nutrition: myths and realities

The use of non-starch polysaccharide (NSP) enzymes has increased in recent years with most of the growth coming from the market segment which uses non-viscous diets. A variety of product choices are available to the feed industry. These range from mono-component, single enzymes, to cocktails of more than one activity, to so-called ‘complex’ enzymes, displaying, in addition to the main activity, several non-targeted (i.e. quality controlled or assured) activities within one product. The relative abundance of the substrate or the number of substrates presented by a given diet may not be viewed as the sole criterion for the fitness of an enzyme solution. An argument can be made that NSP enzymes should not be considered as classical digestive enzymes and any response may not be regarded simply as a function of the extent of in vitro or in vivo substrate hydrolysis. The idea of having additional non-NSP or NSP activities to ‘strengthen’ a xylanase response, as well as the notion ‘complex diet needs a complex enzyme’ appear to lack sufficient scientific backing. Measures based on alternative responses e.g. gut morphology, nutrient or energy digestibility, gut-flora and its metabolites or fermentation profiles, are useful in developing a wider understanding of the phenomenon but require careful interpretation as the stand-alone criteria of usefulness of an NSP enzyme. Performance data is always the ultimate judge of the efficacy of a feed enzyme. This review addresses the practical question of selecting an NSP enzyme. The aim is to discuss the data supporting some of the common views held in the industry today, and how these views significantly influence the process of selecting an NSP enzyme for commercial in-feed application.
Evaluation of alternative prey-, predator-, and ratio-dependent functional response models in a zooplankton microcosm

There is strenuous debate among ecologists regarding the inclusion of predator density into the originally prey-dependent functional response. We provided comprehensive empirical comparisons of alternative functional response models for the predatory ostracod Heterocypris incongruens (Ramdohr, 1808) and the rotifer Brachionus calyciflorus (Pallas, 1766) as its prey in small freshwater microcosms. Prey killed was measured at factorial combinations of four predator densities and five prey densities, and was recorded at 3 min intervals over 60 min experiments. To support the potential effect of predator interference on per capita kill rate, we recorded ostracod activity and aggression. Kill rate increased following a saturating function with increasing prey density and decreased with increasing predator density. Model evaluation using an information–theoretic approach indicated that the Arditi–Ginzburg type II ratio-dependent model performed best, followed by the Arditi–Akcakaya and Beddington–DeAngelis type.
Enhancing Labor Mobility in Alberta: The Role of Immigration, Migration, and Other Factors

Since the rapid decline in the price of oil in mid-2014, the Alberta economy has been experiencing one of the worst recessions in its history. Prior to this time, the province’s labor market had unemployment rates much lower than the Canadian average, workers flowed into the province from elsewhere in Canada and abroad, and acute labor shortages were prevalent in many occupations, industries and geographical areas. In short, labor mobility was an issue. This paper will discuss labor mobility at both the extensive and intensive margins, showing past trends and offering the most promising avenues to enhance this mobility when the province again returns to a state of prosperity.
Enumeration, isolation and identification of bacteria and fungi from soil contaminated with petroleum products using layer chicken droppings as an amendment

Enumeration, isolation and identification of bacteria and fungi from soil contaminated with petroleum products using layer chicken droppings as an amendment The media used were nutrient agar for total heterotrophic bacterial count, potato dextrose agar for fungi count, serial dilution was carried out and the pour plate technique was employed. Colonial morphology, Gram staining and biochemical test were used for the identification and characterization of the microorganisms. The microbial count of the layer chicken droppings had a total heterotrophic bacteria count of 1.32 x 10 7 cfu/g and Fungi count of 2.07 x 10 6 cfu/g while soil contaminated with petroleum products had a total heterotrophic bacteria count of 3.19 x 10 6 cfu/g and fungi count of 3.9 x 10 5 cfu/g respectively. The bacterial general isolated were Proteus vulgaris, Klebsiella pseudomonas and Escherichia coli. The fungi isolated were Mucor species, Aspergillus species, Penicillium species and Fusarium species in significant numbers throughout the period of analysis. The implications of these finding is that the microorganisms isolates found in these layer chicken dropping can be useful in the bioremediation of soil contaminated with petroleum products and possibly other oil polluted sites. Key words: Bioremediation, Chicken droppings, Petroleum, contaminated soil
A financial performance-based assessment of SMEs’ competitiveness – an analysis of Hungarian and US small businesses

The study aims to identify the financial performance measures used as a proxy of the firm-level competitiveness dimensions of small and medium-sized enterprises and their competitiveness. By investigating the factors that affect competitiveness in general, those areas will be introduced, related to an identified competitiveness dimension. Financial and non-financial performance indicators will assess these areas. The paper considers competitiveness as an outcome variable, suggests a relationship between financial performance and the identified areas, and searches for the financial performance measures drivers. A panel data model was tested on Hungarian small and medium-sized enterprises (SMEs) and US SMEs. The collected data cover the period between 2013 and 2017. As a result of the applied panel regression, those variables were successfully identified that drive and could predict financial performance measures related to competitiveness. The research found a significant difference between the two-sample dataset results, which differences can be connected to country, industry, and, in general, to economic development characteristics.The results provide decision-making support and hint about the managerial tools and techniques aiming to control the firm characteristics, performance, and, eventually, firm-level competitiveness. Based on the results, further research can be dedicated to the development characteristics of firm-level competitiveness and the analysis of the relationship between the competitiveness dimensions and competitiveness itself. AcknowledgmentThe research was financed by the Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology in Hungary, within the framework of the 4th thematic programme „Enhancing the Role of Domestic Companies in the Reindustrialization of Hungary” of the University of Pécs.
Selenium Treatment Promotes Adipogenesis in Chicken Embryonic Fibroblasts In Vitro

ii Acknowledgements . v Vita . vii List of Tables . x List of Figures . xi List of Abbreviations . xii Chapter 1: Introduction . 1 1.1 Aims . 2 Chapter 2: Review of the Literature . 3 2.1 Adipose Tissue . 3 2.2 Obesity . 5 2.3 Adipose Tissue and Livestock Production . 7 2.4 Selenium and Adipose Tissue . 8 2.5 Adipogenesis . 10 2.5. 1 Peroxisome Proliferator-Activated Receptor γ . 11 2.5. 2 CCAAT-Enhancer-Binding Protein Family . 12 2.5. 3 Krüple-like Factor Family . 13 2.5. 4 Other Pro-adipogenic Factors . 14
Taxonomic and nomenclatural notes on the subfamily Acridinae of the family Hylidae (Amphibia, Anura)

We propose to recognise two tribes in the subfamily Acridinae of the family Hylidae ( Amphibia , Anura ) and we point to nomenclatural problems of homonymy between the nomen of this subfamily and two familial nomina of Orthoptera Caelifera . To solve these problems, we propose a solution that requires an action by the International Commission on Zoological Nomenclature under its Plenary Powers.
1.5 years of TROPOMI CO measurements: comparisons to MOPITT and ATom

Abstract. We have analyzed TROPOspheric Monitoring Instrument (TROPOMI) carbon monoxide (CO) data acquired between November 2017 and March 2019 with respect to other satellite (MOPITT, Measurement Of Pollution In The Troposphere) and airborne (ATom, Atmospheric Tomography mission) datasets to better understand TROPOMI's contribution to the global tropospheric CO record (2000 to present). MOPITT and TROPOMI are two of only a few satellite instruments to ever derive CO from solar-reflected radiances. Therefore, it is particularly important to understand how these two datasets compare. Our results indicate that TROPOMI CO retrievals over land show excellent agreement with respect to MOPITT: relative biases and their SD (i.e., accuracy and precision) are on average - 3.73 % ± 11.51 % , - 2.24 % ± 12.38 % , and - 3.22 % ± 11.13 % compared to the MOPITT TIR (thermal infrared), NIR (near infrared), and TIR + NIR (multispectral) products, respectively. TROPOMI and MOPITT data also show good agreement in terms of temporal and spatial patterns. Despite depending on solar-reflected radiances for its measurements, TROPOMI can also retrieve CO over bodies of water if clouds are present by approximating partial columns under cloud tops using scaled, model-based reference CO profiles. We quantify the bias of TROPOMI total column retrievals over bodies of water with respect to colocated in situ ATom CO profiles after smoothing the latter with the TROPOMI column averaging kernels (AKs), which account for signal attenuation under clouds (relative bias and its SD = 3.25 % ± 11.46 % ). In addition, we quantify enull (the null-space error), which accounts for differences between the shape of the TROPOMI reference profile and that of the ATom true profile ( e null = 2.16 % ± 2.23 % ). For comparisons of TROPOMI and MOPITT retrievals over open water we compare TROPOMI total CO columns to their colocated MOPITT TIR counterparts. Relative bias and its SD are 2.98 %±15.71 % on average. We investigate the impact of discrepancies between the a priori and reference CO profiles (used by MOPITT and TROPOMI, respectively) on CO retrieval biases by applying a null-space adjustment (based on the MOPITT a priori) to the TROPOMI total column values. The effect of this adjustment on MOPITT and TROPOMI biases is minor, typically 1–2 percentage points.
Thermal Evolution Process and its Relation to Some Philosophical Problems of Physics

Using the technique of synchronous differential temperature measurements, we have shown, for the first time, that the process of interaction of the external electromagnetic (EM) fields with the ensemble of atoms of the homogeneous material artifact is characterized by the violations of symmetries in time and in space, by the violation of the superposition principle for the EM fields and by the hysteresis effect, even when the contribution of the thermal surface energy is made negligible. The thermal evolution process is shown to have infinite number of influence parameters, is specific for a particular observation point where it is characterized by the local time, or as defined by modern philosophers: the concepts of time and space are relational. The experiments give an experimental proof to the famous observation of Niels Bohr that in the general case, space-time description is impossible for
EFFECTS OF SEASONS (COLD, HOT AND WET) AND FEED ENERGY LEVELS ON THE PERFORMANCE OF BROILER CHICKENS IN ZARIA, KADUNA STATE

Three experiments were conducted to evaluate the effects of seasons (cold hot and wet) and energy levels of diets on the performance of broiler chickens. In the first experiment, 198 birds were used. In the second experiment, 144 birds were used, while, 216 birds were used in the third experiment. The birds were fed the same type of diets during the three seasons. The diets fed were iso-nitrogenous but not iso-caloric, having 3000, 2800 and 2600 ME kcals /kg energy levels, while the crude protein levels was 20%. There was a significant (P< 0.05) difference across the three seasons in terms of ambient temperature, relative humidity and rainfall. And also, significant (P< 0.05) differences existed in the general growth performance and carcass characteristics of the birds. However, the rectal temperatures varied significantly (P <0.05) in relation to the ambient temperature during the three seasons (41.35, 20.400C) during the cold, (41.87, 30.500C) for the hot and (41.47, 25.200C) for rainy season, rectal and ambient temperatures respectively. There was a significant (p< 0.05) differences across the three seasons in terms of final weight, weight gain, feed intake, feed to gain ratio and water intake and feed cost per kg gain (N). It was therefore concluded that the climatic factors (temperatures, humidity and rainfall) have influence on the general performance of broiler chickens.
Predicting Vertical Concentration Profiles in the Marine Atmospheric Boundary Layer With a Markov Chain Random Walk Model

In an effort to better represent aerosol transport in mesoscale and global‐scale models, large eddy simulations (LES) from the National Center for Atmospheric Research (NCAR) Turbulence with Particles (NTLP) code are used to develop a Markov chain random walk model that predicts aerosol particle profiles in a cloud‐free marine atmospheric boundary layer (MABL). The evolution of vertical concentration profiles are simulated for a range of aerosol particle sizes and in a neutral and an unstable boundary layer. For the neutral boundary layer we find, based on the LES statistics and a specific model time step, that there exist significant correlation for particle positions, meaning that particles near the bottom of the boundary are more likely to remain near the bottom of the boundary layer than being abruptly transported to the top, and vice versa. For the unstable boundary layer, a similar time interval exhibits a weaker tendency for an aerosol particle to remain close to its current location compared to the neutral case due to the strong nonlocal convective motions. In the limit of a large time interval, particles have been mixed throughout the MABL and virtually no temporal correlation exists. We leverage this information to parameterize a Markov chain random walk model that accurately predicts the evolution of vertical concentration profiles. The new methodology has significant potential to be applied at the subgrid level for coarser‐scale weather and climate models, the utility of which is shown by comparison to airborne field data and global aerosol models.
Who Is High Income, Anyway? Social Comparison, Subjective Group Identification, and Preferences over Progressive Taxation

Why are high-income and low-income earners not significantly polarized in their support for progressive income taxation? This article posits that the affluent fail to recognize that they belong to the high-income income group and this misperception affects their preferences over progressive taxation. To explain this mechanism theoretically, I introduce a formal model of subjective income-group identification through self-comparison to an endogenous reference group. In making decisions about optimal tax rates, individuals then use these subjective evaluations of their own income group and earnings of other groups. Relying on ISSP data, I find strong evidence for the model’s empirical implications: most high-income earners support progressive taxation when they identify themselves with a lower group. Additionally, individuals who overestimate the earnings of the rich are more likely to support progressive taxation.
Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering

Mining Genome-Scale Growth Phenotype Data through Constant-Column Biclustering Majed Ateah Alzahrani Growth phenotype profiling of genome-wide gene-deletion strains over stress conditions can offer a clear picture that the essentiality of genes depends on environmental conditions. Systematically identifying groups of genes from such recently emerging high-throughput data that share similar patterns of conditional essentiality and dispensability under various environmental conditions can elucidate how genetic interactions of the growth phenotype are regulated in response to the environment. In this dissertation, we first demonstrate that detecting such “co-fit” gene groups can be cast as a less well-studied problem in biclustering, i.e., constant-column biclustering. Despite significant advances in biclustering techniques, very few were designed for mining in growth phenotype data. Here, we propose Gracob, a novel, efficient graph-based method that casts and solves the constant-column biclustering problem as a maximal clique finding problem in a multipartite graph. We compared Gracob with a large collection of widely used biclustering methods that cover different types of algorithms designed to detect different types of biclusters. Gracob showed superior performance on finding co-fit genes over all the existing methods on both a variety of synthetic data sets with a wide range of settings, and three real growth phenotype data sets for E. coli, proteobacteria, and yeast.