Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential Expression of CD34 and Smooth Muscle Actin in the Stroma of Small Lung Adenocarcinoma with Mixed Bronchioloalveolar and Invasive Components

Background : Absence of CD34-positive fibroblasts was reported within the stroma associated with invasive carcinomas. Conversely, tumor-associated desmoplastic stroma is characterized by the presence of smooth muscle actin (SMA)-reactive myofibroblasts. The present study was undertaken in order to elucidate whether the different distributions of stromal CD34-positive fibroblasts and SMA-reactive myofibroblasts are sensitive or specific markers of tumor invasion in small lung adenocarcinomas. Methods : Immunohistochemical stainings for CD34 and SMA were done in 37 peripheral adenocarcinomas less than 3.0 cm in diameter, including 16 adenocarcinomas with bronchioloalveolar carcinoma (BAC) and invasive components (mixed), and 21 invasive adenocarcinomas without BAC components (invasive). Results : The fibroblasts within the BAC components of the mixed group were mainly CD34positive (81.2%) and preferentially SMA-negative (56.3%). In contrast, the fibroblasts within the invasive components of the mixed group were mainly CD34-negative (75.0%) and SMApositive (87.5%). The stromal cells of the invasive group were mostly negative for CD34 (90.5%) and positive for SMA (95.3%). Conclusions : The loss of CD34 and the acquisition of SMA in the stromal cells within the tumor were related to tumor invasion (p<0.05). Thus, expression patterns of CD34 and SMA can be used to detect small foci of early stromal invasion in adenocarcinomas of the lung.
Discussion of Big Bayes Stories and BayesBag

I congratulate all the authors for their insightful papers with wide-ranging contributions. The articles demonstrate the power and elegance of the Bayesian inference paradigm. In particular, it allows to incorporate prior knowledge as well as hierarchical model building in a convincing way. Regarding the latter, the contribution by Raftery, Alkema and German is a very fascinating piece, as it addresses a set of problems of great public interest and presents predictions for the world populations and other interesting quantities with uncertainty regions. Their approach is based on a hierarchical model, taking various characteristics into account (e.g., fertility projections). It would have been very difficult to come up with a "better" solution which would be as clear in terms of interpretation (in contrast to a "black-box machine") and which would provide (model-based) uncertainties for the predictions into the future.
Factors Explaining the Level of Voluntary Human Capital Disclosure in the Brazilian Capital Market

Purpose: This paper presents a study on factors explaining the level of voluntary human capital information in companies with shares in the Brazilian stock exchange. Assuming the existence of information asymmetry between managers and shareholders, agency theory states that disclosure might lead to a reduction in agency costs. The proprietary costs theory indicates that information disclosure might increase the company’s costs. According to these theories, the likelihood that the managers will voluntarily disclose information depends on certain factors that are characteristic of the company. Understanding the disclosure of information regarding intangible assets, specifically human capital, has strategic relevance for enterprises because these features, although not always recorded in accounting, represent a competitive business edge in the current economy. Design/methodology/approach: The study examined 145 annual reports, representing 29 companies in the period of 2005-2009. The level of voluntary disclosure was determined through content analysis of annual reports using representative indicators of human capital information. Findings: The statistical results indicate that factors such as size, debt, growth and time of registration with the Brazilian Securities and Exchange Commission explain the level of voluntary human capital disclosure of the companies studied.
Acetic acid and ethyl acetate in Madeira wines: Evolution with ageing and assessment of the odour rejection threshold

Madeira wine is an internationally recognized fortified wine, characterized by a complex flavour and high longevity. Little is known about the impact of volatile acidity in its features along ageing. Thus, this work studied the evolution of acetic acid and ethyl acetate (volatile acidity main contributors) during the ageing processes used in Madeira wine production, canteiro and estufagem . Wines aged in canteiro for 6 up to 45 years were also evaluated. The odour rejection thresholds (ORT) were assessed in sweet (Malvasia) and dry (Sercial) wines with 5 and 10 years old, by a regular consumer panel and a non-regular consumer panel. The results showed that the formation trend of acetic acid and ethyl acetate is similar in both ageing processes and is favoured by the ageing, mostly in sweet wines. The ORT of ethyl acetate was in average 328 mg/L for both panels, while for acetic acid ranged between 1.96 and 5.72 g/L, depending on the evaluation panel and also on the age and sweetness degree of the Madeira wine. The ORT values expressed in volatile acidity ranged between 1.4 and 3.5 g/L, which are higher than the legal limits. The study pointed out that the olfactory perception of acetic acid and ethyl acetate in Madeira wines depends on their age and sweetness degree.
Potential use of flow cytometry in microalgae-based biodiesel project development

The decrease of petroleum reserves and the global increase in energy demand has resulted in the focus of research toward exploration of alternate fuels using biological renewable sources. Biodiesel is one of these renewable energy forms. Microalgae are considered one of the most promising sources for biodiesel production. However, the potential use of microalgae in this field still needs to be explored since only about twenty species has been studied from the approximately 30.000 known species. Thereby, screening work on new potentially lipid overproducer strains is actually an active field. An overview of potential applications of multi-parameter flow cytometry in development of a biodiesel production strategy using microalgae is detailed in this review. Rapid and simultaneous measurements of different physiological parameters indicating diversity in marine and freshwater microalgal communities, biomass quality such as biochemical composition and viability of individual cells, isolation of targeted cells and obtention of axenic cultures are applications of flow cytometry that enable monitoring and optimisation of production of lipids from microalgae.
A Memory-based Software Integration for Development in Autonomous Robotics

Focusing the development of non-industrial robotics in the last decade the growing impact of service and entertainment robots for daily life has developed from pure science fiction to a serious scientific subject. Beginning with the first approaches of tour guide robots with poor cognitive abilities in museums or huge office building nowadays sociable robots operating in households are in sight of scientists. But still many questions in how to solve everyday tasks like laying the table or even ’’simpler’’ detecting objects in unstructured areas with varying lighting conditions are unsolved. Therefore the strong need to evaluate and exchange different approaches and abilities of multiple robotic demonstrators under real world conditions is also a crucial aspect in the development of system architectures. In this paper an architecture will be described providing strong support for simple exchange and integration of new robot abilities.
Range condition, tenure, management, and bio-phyiscal relationships in Sonora, Mexico

The objective of this study was to describe the relationship among range condition scores, tenure system, management practices and bio-physical variables for 107 communal ejido ranches and 373 private ranches in Sonora, Mexico. The data was obtained from assessments of range condition and recommended carrying capacity for individual ranch units that were completed between 1973 and 1993 by the Comision Tecnica para la Determinacion de Coeficientes de Agostadero. Variables measured were range condition, land tenure (communal ejido or private ranch), management characteristics (human density, livestock stocking rate, ranch size, and infrastructure condition), and bio-physical characteristics (rangeland site quality and precipitation in the year of assessment). We used a combination of simple, univariate chi-square analyses and more complex, multi-variate ordered logistic regression analyses to assess the relationships among these variables. There was no evidence from the logistic regression analysis that range condition of ranches in Sonora was related to the ejido or private tenure systems. Infrastructure condition was different between the 2 tenure systems, and infrastructure condition was positively related to range condition for both ejido and private ranches. Based on the univariate and multivariate analyses, precipitation amounts in the year of assessment was less for private ranches, and range condition on private ranches was more sensitive to precipitation than ejido ranches. Compared to estimates made in the 1960's and 1970's in other parts of Mexico, we found there to be less of a difference in stocking rate between the more lightly stocked private ranches and more heavily stocked ejido ranches, and generally good condition infrastructure on all ranches. The important relationship between precipitation and range condition implies that range condition assessments should be done over many years to produce estimates of trend that can be compared across wet and dry years. DOI:10.2458/azu_jrm_v54i1_coronado-quintana
Computer Based Support for Mathematics Education in Serbia

The aim of this paper is to present public ecourse and advantages of using digital tools (techniques) for visualization and interactive approach in mathematics education at undergraduate university level. This material consists e-lessons of the Differential Calculus created within software package GeoGebra and following topics are included: functions of a real variable, arrays, limit function, continuity of functions, derivatives, applications of derivatives and interrelationships between theory and its applications in sciences. Integral parts of each elesson are dynamic geometric constructions made by GeoGebra applets, very strong theoretical background and traditional calculus tools. The aims of created didactic e-material are to encourage students to make connections between visual and symbolic representations of the same mathematical notions and to let them explore links between parameters, graphs and their application in tasks, sciences and everyday life. Designed teaching and learning material, e-Differential Calculus, meets and fosters individual learning styles, interest and capabilities, which make it suitable and for inclusive and lifelong learning. Left to be discovered is how are the imagery, interactivity, motivational and selfregulated learning components related to student performance on academic tasks and cognitive issues.
Concepts in Computer Aided Essay Assessment: Improving Consistency by Monitoring the Assessors

textabstractThis paper focuses on a traditional educational skill, namely the assessment of student work. Whereas ICT has left a considerable mark on, for instance, the administrative support of educational activities and on the use of legal sources, other parts of legal training have seen almost no alterations in the past few decades. One such area is the grading of essay or open question student assignments. The CODAS Text Grader tool, described here, can be used to alleviate the task of marking this type of student work. Teachers still have an essential role with this. What changes is the ‘level’ at which the assessment of the student work takes place: from individual to survey, from marking to ranking. The CODAS software can also be used for a related task: it can assess the assessors. It contains functions to assess – and if necessary correct – the marks for comparable essays awarded by one specific teacher or even by a team of several teachers. Bringing transparency to the process of grading can only be of benefit to the education system.
Effect of Zirconium Oxide Nano-Fillers Addition on Mechanical Properties of Heat-Polymerized Acrylic Resin

Purpose: The mechanical strength of polymethyl methacrylate (PMMA) remains far from ideal for maintaining the longevity of denture. The purpose of this study was to evaluate the effect of Zirconium oxide (ZrO2) nanofillers powder with different concentration (1.5, 3, 5 and 7%) on the flexural strength, fracture toughness, and hardness of heat-polymerized acrylic resin. Materials and methods: Zirconium oxide powder with different concentrations (1.5, 3, 5 and 7%) were incorporated into heatcure acrylic resin (PMMA) and processed with optimal condition (2.5:1 Powder/monomerratio, conventional packing method and water bath curing for 2 hours at 95˚C) to fabricate test specimens of PMMA of dimensions (50 ×30 × 30 mm) for the flexural strength, fracture toughness, and (50 ×30 × 30 mm) were fabricated for measuring hardness. PMMA without additives was prepared as a test control. Three types of mechanical tests; flexural strength, fracture toughness and hardness were carried out on the samples. The recorded values of flexural strength in (MPa), fracture toughness in (MPa.m1/2), and hardness (VHN) were collected, tabulated and statistically analyzed.One way analysis of variance (ANOVA) and Tukey’s tests were used for testing the significance between the means of tested groups which are statistically significant when the P value ≤ 0.05. Results: Addition of Zirconium oxide nanofillers to PMMA significantly increased the flexural strength, fracture toughness and hardness.Conclusion: These results indicate that Zirconium oxide nanofillers added to PMMA has a potential as a reliable denture base material with increased flexural strength, fracture toughness, and hardness. According to the results of the present study, the best mechanical properties were achieved by adding 7%wt ZrO2 concentration.
Spanish version of the Perception of Organizational Politics Scale in Puerto Rico

The aim of this research was to translate and preliminary validate the Perception of Organizational Politics Scale (POPS), 15-item short version Likert scale by Kacmar and Carlson (1997) from English to Spanish using the Brislin back-translation method and administrate the scale in Puerto Rico. Also, to examine the Cronbach’s alpha of the POPS Spanish version as well as to explore the effects of organizational politics may have on employees in the workplace. The study had a quantitative and a non-experimental transversal design. Two bilingual translators from Puerto Rico translated the scale to Spanish. The sample consisted of 205 participants. The snowball sampling was used to reach the participants. The statistical analysis used to measure the scale was the Alpha Coefficient formula and the Exploratory Factor Analysis to determine which items will remain in the final version. The results showed that the final version of the scale contained 13 items and had a Cronbach’s alpha of . 87 and two subscales. The researcher concluded that the POPS Spanish version may be a preliminary valid instrument in Puerto Rico and possesses a strong Cronbach’s Alpha. Another finding was that the variable sector had an effect on employees’ perceptions of organizational politics.
Atlantic Warm-Pool Variability in the IPCC AR4 CGCM Simulations

This study investigates Atlantic warm pool (AWP) variability in the twentieth century and preindustrial simulations of coupled GCMs submitted to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report (AR4). In the twentieth-century simulations, most coupled models show very weak AWP variability, represented by an AWP area index, because of the cold SST bias in the AWP. Among the IPCC models, a higher AWP SST index corresponds to increased net downward shortwave radiation and decreased low-level cloud fraction during the AWP peak season. This suggests that the cold SST bias in the AWP region is at least partly caused by an excessive amount of simulated low-level cloud, which blocks shortwave radiation from reaching the sea surface. AWP natural variability is examined in preindustrial simulations. Spectral analysis reveals that only multidecadal band variability of the AWP is significant in observations. All models successfully capture the multidecadal band, but they show that interannual and/or decadal variability
A quantitative review of ecosystem service studies: approaches, shortcomings and the road ahead

Summary 1. Ecosystem services are defined as the benefits that humans obtain from ecosystems. Employing the ecosystem service concept is intended to support the development of policies and instruments that integrate social, economic and ecological perspectives. In recent years, this concept has become the paradigm of ecosystem management. 2. The prolific use of the term ‘ecosystem services’ in scientific studies has given rise to concerns about its arbitrary application. A quantitative review of recent literature shows the diversity of approaches and uncovers a lack of consistent methodology. 3. From this analysis, we have derived four facets that characterise the holistic ideal of ecosystem services research: (i) biophysical realism of ecosystem data and models; (ii) consideration of local trade-offs; (iii) recognition of off-site effects; and (iv) comprehensive but critical involvement of stakeholders within assessment studies. 4. These four facets should be taken as a methodological blueprint for further development and discussion. They should critically reveal and elucidate what may often appear to be ad-hoc approaches to ecosystem service assessments. 5. Synthesis and applications: Based on this quantitative review, we provide guidelines for further development and discussions supporting consistency in applications of the ecosystem service concept as well as the credibility of results, which in turn can make it easier to generalise from the numerous individual studies.
Review of Price Forecasting Techniques in Deregulated Electricity Market

Price forecasting has become integral part of power system. In deregulated electricity market price forecasting is gaining importance between various market players in order to adjust their bids in day ahead electricity market and maximize their profit . An accurate price forecasting method is important factor for market player as it enable them to decide their bidding strategies to maximize profit. Various models have been developed they are mainly used for price forecasting time series ,simulation model ,stochastic model ,econometric model , artificial intelligence model ,game theory model. Application of various model as applied different electricity market is presented. mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:Shruti; mso-bidi-theme-font:minor-bidi; mso-ansi-language:EN-US; mso-fareast-language:EN-US; mso-bidi-language:AR-SA;} Through energy harvesting system, new energy sources are made available immediately for many advanced applications based on environmentally embedded systems. However, the harvested power, such as the solar energy, varies significantly under different ambient conditions, which in turn affects the energy conversion efficiency. There are two approach for designing power-adaptive computing systems to maximize the energy utilization under variable solar power supply, which I will b discussing in this paper. First paper “Power Adaptive Computing System for Solar-Energy-Powered Embedded Systems” uses the power adaptive computing systems to maximize the energy utilization under variable solar power supply. Here the geometric programming technique is exploited which can generate a customized parallel computing structure effectively. Second paper “Run-Time Management for Multicore Embedded Systems With Energy Harvesting” proposes a novel semidynamic algorithm (SDA)-based framework with energy budgeting that manages energy and workload allocation at runtime for multicore embedded systems with solar energy harvesting capability.
Comparison of three methods for diagnosis of Trypanosoma (Duttonella) vivax in cattle.

Detection of Trypanosoma vivax in cattle is based on parasitological, serological and molecular methods. The aim of this study was to compare three different methods for detecting T. vivax during an outbreak of trypanosomiasis in southeast Brazil. Blood samples were collected from seventy-two animals to perform micro-hematocrit centrifugation technique (MHCT), indirect fluorescent antibody (IFAT), and polymerase chain reaction (PCR). A total of 84.72% (61/72) of the samples yielded a positive result in at least one test. The PCR test yielded the highest number of positives [73.6% (53/72)], followed by the IFAT [61.1% (44/72)] and MHCT [29.0% (21/72)]. Agreement among the three methods, as expressed by the kappa value, was poor. PCR proved to be the most sensitive of the three methods by demonstrating the highest positivity rate, even in the presence of low parasite levels. This work presents the first study comparing three different detection tests, to T. vivax, analyzing a relatively large-scale number of samples
Economic Growth and Income Equality: Implications of a Behavioral Model of Economic Growth for Public Policy

A behavioural model of the firm and economic growth is presented whereby the level of economic efficiency, the choice of technology, and the rate of technical change, are all affected by firm organization and institutional variables. In this model, high- and low-wage firms can be cost competitive even in the most competitive of product market regimes because of the efficiency effect that relatively high rates of labour compensation can have through their effect on firm organization. From this perspective, improving the material wellbeing of the relatively less well-off in society need not be at the expense of those who are better off and there need not be a trade-off between more income equality and growth. International datasets are analyzed, lending support to the view.
Change Detection for SAR Imagery Using Connected Components Analysis

Objective of the described analysis is to provide consistent change detection method based on image processing techniques applied to the Synthetic Aperture Radar (SAR) images acquired over the same geographical area, but at two different time instances. The approach adopted in our work requires incorporation of results with the additional information derived from analysis based on mathematical morphology (MM) techniques and visual interpretation of multitemporal VHR optical satellite images. Keywords—change detection, TSX, SAR image analysis, remote sensing.