Miracle-dz/UniFAR-FTUs huggingface dataset:
ECG Auto-analyzing System on Android for 3AHcare Node

ECG (Electrocardiograph) is the primary method for cardiovascular disease detection. The main purpose of this research work is to develop an ECG auto-analyzing system on Android platform for 3AHcare Node. 3AHcare Node is a health monitoring device developed by IECAS, and ECG auto-analyzing system analyzes the ECG signal detected by 3AHcare Node in real time. The ECG auto-analyzing system consists of two parts: the detection part and the diagnose part. In the detection part, the noise is eliminated first,, and then the feature parameters, such as R peak, RR interval, QRS width and RR rhythm etc are extracted. The diagnose part is used to classify the ECG signal into three categories: the PVC (Premature Ventricular Contraction), NORMAL and UNKNOWN, at last, give primary diagnose suggestions for users. The ECG auto- analyzing system was first measured with data from MIT/BIH Arrhythmia Database, and then modified and tested by ECG data detected with our 3AHcare Node. Index Terms - ECG, Android, 3AHcare Node, ECG analyzing, ECG classification.
Economic Policy within the Framework of Regional Union Taking into Account Budgetary Equilibrium and Government Debt

Estimates were obtained in the form of a regression function of the main macroeconomic indicators of national economy by example of the economy of the Republic of Kazakhstan within the framework of its operation as a part of regional customs union and interaction with the rest of the world. After testing for spurious regression functions the econometric model was built for small open economy of the Republic of Kazakhstan and its sustainability indicator was evaluated. This model describes budgetary equilibrium conditions taking into account government debt as well as equilibrium conditions in the markets of goods, money, and capital. Macroeconomic analysis has been conducted on the basis of the model. Proposed and illustrated an approach of estimating the optimal values of economic policy instruments in the functioning of the national economy within the regional customs union and its interaction with the outside world. The task of parametric control of macroeconomic indicators of national economy based on the econometric model taking into account constrains to budget deficit, government debt and inflation is formulated and solved.
ASSESSMENT OF THE LEAF AREA INDEX FOR SUMMER BARLEY FROM FIELD SPECTRORADIOMETER AND HYMAP IMAGE DATA USING THE PROSPECT + SAIL MODELS

The estimation of the LAI plays an important role in many vegetation related issues. In this study, LAI assessment from remote sensing data was performed for summer barley stands (n = 16). For the study time at the end of May, ground truth LAI data and both field spectroradiometer (ASD FieldSpec II) and airborne hyperspectral image data (HyMap) were available. For reasons of a more general applicability with less restrictions, a physical approach coupling the radiative transfer models PROSPECT and SAIL was preferred to a purely empirical approach. Some constraints were introduced for the PROSAIL inversion; the most important was the coupling of the equivalent water thickness and the dry matter content of leaves. In the following, the model inversion was performed using the Nelder Mead Simplex method for the spectroradiometer measurements, synthetic HyMap spectra (generated by resampling the field spectra) and the HyMap image data. For the latter, pixel values were extracted near the field-measured GPS-coordinates using a spatial subset of 3 × 3 pixels. In fact, for nearly all sub-plots spectra could be extracted that matched the spectroradiometer data and did not reveal spatial scaling effects or deficiencies of radiometric preprocessing. The accuracies of LAI estimation were very high for the spectroradiometer data (r² = 0.90), but diminished slightly for the synthetic HyMap data (r² = 0.87). For the image spectra, LAI estimates were still satisfying with r² equalling 0.80.
Semantic Web Application for Historical Concepts Search in Al-Quran

With the growth of Islamic related documents on the web, several search engines exist today to pull out these documents such as data about Islamic history. However, most of the information retrieval on the web is based on keyword search and it is struggled with the ambiguity of natural language. To overcome this problem, a concept of semantic web is introduced by W3C consortium. The aim of this paper is to apply semantic web technology to retrieved historical concepts from the Holy Quran. The semantic web technology will improve the precision of knowledge retrieval from Quran. We used ontology and Jena inference engine to answer queries in natural language, which is related to the historical concepts in Quran. For the experiment, we used queries that were asked by the visitor of Islamic Research foundation website. The result shows that the precision is improved from traditional keywords search. This paper highlights the potential of semantic web technology in retrieving the related Islamic documents.
Sequence-structure alignment using a statistical analysis of core models and dynamic programming

The expanding availability of protein data enforces the application of empirical methods necessary to recognize protein structures. In this paper a sequence-structure alignment method is described and applied to various Ubiquitin-like folded Ras-binding domains. On the basis of two probability functions that evaluate similarities between the occurrence of amino-acids in the primary and secondary protein structure, different versions of simple scoring functions are proposed. The application of the program ’PLACER’ that uses a dynamic programming approach enables the search for an optimal sequence-structure alignment and the prediction of the secondary structure.
Western Blot Analysis Uncovers Clues to Prolamin Digestibility in Raw and Cooked Meal from Sorghum and Corn

Digestibility of cereal grain protein is conventionally expressed as percentage of protein digested by pepsin in a defined period. Sorghum has the lowest protein digestibility among cereals especially after wet cooking. If additional details were known as to which proteins are resistant to digestion, it should be possible to find means to improve this property. In this paper, two approaches are described to extract and identify proteins undigested by pepsin in uncooked and cooked meal from numerous sorghum and corn varieties. The first, one-solvent approach involves extracting residues undigested after 2 h with Borate-SDS-ME and separating by PAGE. Improved separation of undigested sorghum proteins was achieved using NuPAGE Bis-Tris gels. Western blots with antibodies against particular zeins and kafirins, used to monitor fates of different kafirins, revealed differential digestion rates. A second approach involved extracting undigested residues sequentially with 60% t-butanol, 60% t-butanol-ME and Borate-SDS-ME. The second, three-solvent approach, coupled with western analysis, revealed the following. (i) Oligomeric forms of certain kafirins exist that differ in the degree of their susceptibility to pepsin digestion. (ii) Effect of cooking on the formation and digestion of the oligomers. (iii) Cross-linked forms of most α-kafirins became more resistant to digestion after cooking. (iv) Most α-kafirins are preferentially extracted in 60% t-butanol-ME while most γ-kafirins are extracted in Borate-SDS-ME buffer. (v) Monomeric γ-kafirins are resistant to pepsin digestion. (vi) γ-Kafirins form a series of oligomers that exhibit differential resistance to digestion. Our results suggest that the presently described systematic approach to analyzing the digestion by pepsin of sorghum prolamins should lead to greater insights into the digestion of specific types of sorghum grain proteins.
Development and Evaluation of SCAR Marker for Blast Resistance in Finger Millet (Eleusine coracana (L.) Gaertn)

Blast disease is caused by the fungus Pyricularia grisea and is a widespread disease in India and other countries affecting different aerial parts of the plant at all stages of its growth starting from seedling to grain formation. Specific DNA technology, such as the use of SCAR (sequence characterized amplified region) markers, can be used to differentiate between resistant and susceptible species of finger millet (Eleusine coracana (L.) Gaertn). SCAR markers were created by sequencing a single RAPD (random amplified polymorphic DNA) band and designing primers to amplify the band of specific size. PCR analysis was done using two F2 bulks (one resistant and another susceptible) and two resistant F3 bulk populations. RAPD primer OPA20 amplified bands of 250 and 750 bp in resistant bulks and absent in susceptible bulks. The fragments were cloned and converted into SCAR markers. Two SCAR primer pairs were designed. Testing was done with 3 resistant cultivars and one susceptible cultivar; single unique bands were correctly amplified for resistant cultivars by SCAR primer pairs. The availability of DNA markers linked to genes for resistance to this disease would accelerate breeding programs, particularly when other traits are also being evaluated.
Genotypic environment interaction and stability analysis for yield and quality components in elephant foot yam [Amorphophallus paeoniifolius (Dennst) Nicolson]

Genotypic × environment (G × E) interactions in 35 indigenous line of elephant foot yam (Amorphophallus paeoniifolius Dennst Nicolson) were evaluated for two consecutive years of 2007 and 2008 under four environments in randomized block design (RBD) for yield, plant height, weight of corm, size of corm, dry matter and starch content. Mean squares deviation due to environment and environment linear variations were highly significant for all the traits. Linear component of genotype × environment interaction assumed importance for weight of corm, size of corm and yield. Thus, the prediction of the genotypes in the environments appeared to be feasible for all the characters under study. G × E interaction was found to be significant for dry matter and starch content indicating that these quality contributing traits were highly influenced by the change in environment leading to extension of analysis for estimating stability parameters. All traits significantly observed for environment + (genotype × environment) interaction confirming the influence of environment and suggesting the existence of considerable variation among genotypes as well as environments. On the basis of all three stability parameters (xi, bi and S2di), the genotype NDA-9 possesses high mean, nearer to unit regression and non-significant low deviation from regression. With respect to yield on the basis of all three adaptability parameters, it is evident that the genotype NDA-9 is stable as it possesses high mean, nearer to unit regression and non-significant low deviation from regression. Whereas the highest yielding genotype NDA-35 showed above average sensitivity and low deviation from regression, this genotype could be considered as a suitable for favorable environmental condition. Key words: Stability analysis, genotypic × environment interaction, adaptability, yield, quality traits, elephant foot yam.
Inadequate caloric intake: a risk factor for mortality of geriatric patients in the acute-care hospital

Objectives: to compare the adequacy of nutritional support in surgical, medical and geriatric wards, and to assess correlates and prognostic implications of inadequate caloric intake. Design: prospective observational study. Setting: an acute-care university hospital. Patients: 370 patients over 70 years of age consecutively admitted to general surgery (n = 86), general medicine (n = 149) and geriatric (» = 135) wards. Method: a multidimensional assessment was performed on admission, and the average daily caloric intake was computed. The logistic regression analysis was used to characterize patients at risk of starvation, defined as a caloric intake below 40% of the estimated requirement, and of death. Results: the average daily caloric intake, expressed as mean ± SD, was 63 ± 40%, 63 ± 31% and 69 ± 34% of that required in surgical, medical and geriatric wards, respectively. Patients at risk of starvation were identified by body mass index <22 kg/cm2 on admission [odds ratio (OR) = 1.73, 95% confidence interval (CI)= 1.332. 24] and pre-admission dependency in activities of dairy living (OR= 1.34, 95% CI = 1.03-1.73). Mortality was independently predicted by an actual/required caloric intake ratio below 40% in the first 3 days of stay (OR — 1.87, 95% CI= 1.21-2.85), pre-admission dependency in at least one activity of daily living (OR = 1.91, 95% CI= 1.24-2.94), lymphocytes <1000/mm3 (OR= 1.71, CI= 1.11-2.64), albumin <35 g/dl (OR= 1.69, 95% CI= 1.08-2.66). Conclusions: nutritional support to geriatric patients is frequently inadequate in both surgical and medical and geriatric wards of the acute-care hospital. Malnourished and dependent patients are at high risk of in-hospital starvation. Inadequate caloric intake is a co-contributor to the risk of hospital mortality.
Spatio-temporal variability of Arctic summer temperatures over the past 2 millennia

Abstract. In this article, the first spatially resolved and millennium-length summer (June–August) temperature reconstruction over the Arctic and sub-Arctic domain (north of 60° N) is presented. It is based on a set of 44 annually dated temperature-sensitive proxy archives of various types from the revised PAGES2k database supplemented with six new recently updated proxy records. As a major advance, an extension of the Bayesian BARCAST climate field (CF) reconstruction technique provides a means to treat climate archives with dating uncertainties. This results not only in a more precise reconstruction but additionally enables joint probabilistic constraints to be imposed on the chronologies of the used archives. The new seasonal CF reconstruction for the Arctic region can be shown to be skilful for the majority of the terrestrial nodes. The decrease in the proxy data density back in time, however, limits the analyses in the spatial domain to the period after 750 CE, while the spatially averaged reconstruction covers the entire time interval of 1–2002 CE. The centennial to millennial evolution of the reconstructed temperature is in good agreement with a general pattern that was inferred in recent studies for the Arctic and its subregions. In particular, the reconstruction shows a pronounced Medieval Climate Anomaly (MCA; here ca. 920–1060 CE), which was characterised by a sequence of extremely warm decades over the whole domain. The medieval warming was followed by a gradual cooling into the Little Ice Age (LIA), with 1766–1865 CE as the longest centennial-scale cold period, culminating around 1811–1820 CE for most of the target region. In total over 600 independent realisations of the temperature CF were generated. As showcased for local and regional trends and temperature anomalies, operating in a probabilistic framework directly results in comprehensive uncertainty estimates, even for complex analyses. For the presented multi-scale trend analysis, for example, the spread in different paths across the reconstruction ensemble prevents a robust analysis of features at timescales shorter than ca. 30 years. For the spatial reconstruction, the benefit of using the spatially resolved reconstruction ensemble is demonstrated by focusing on the regional expression of the recent warming and the MCA. While our analysis shows that the peak MCA summer temperatures were as high as in the late 20th and early 21st centuries, the spatial coherence of extreme years over the last decades of the reconstruction (1980s onwards) seems unprecedented at least back until 750 CE. However, statistical testing could not provide conclusive support of the contemporary warming to exceed the peak of the MCA in terms of the pan-Arctic mean summer temperatures: the reconstruction cannot be extended reliably past 2002 CE due to lack of proxy data and thus the most recent warming is not captured.
The Impact of Government Size on Economic Growth: A Case Study in Italy

The present study according to importance discuss the impact of government spending on economic growth, has attempted to using Smooth Transition Regression (STR) and annual data for the period of 1960-2009 to investigate nonlinear government size effects (Government consumption spending as a percentage of GDP) on economic growth of Italy. Results the confirmation nonlinear effects of government size on economic growth showed that in both regimes, government size has had a significant negative effect on economic growth in the case study. Note it is essential that a threshold value of government size is determined to 20.608 percent. In addition, the results showed that investment and population growth have a significant positive effect on economic growth.
Free Schools and disadvantaged intakes.

The Free Schools policy in England has led to the opening of a number of new autonomous state-funded schools. This article uses data from the Annual Schools Census to present the proportions of socioeconomically disadvantaged children attending the first three waves of these schools. It updates and builds on previous work that focused on the student composition of the first wave of Free Schools that opened in 2011. The analysis compares the Free School intakes with other local schools and Local Authority (LA) data and seeks to establish whether the schools are taking an equal share of disadvantaged children in relation to their nearby competitors. Differences emerge between the different waves of schools with those that opened in 2011 generally underrepresenting disadvantaged children. In the second and third waves the picture is more mixed. It is also the case that Free Schools with a faith designation or an alternative or specialist curriculum appear particularly likely to have proportionally fewer disadvantaged children than might be expected based on their location. The potential impacts of having an increasing number of new schools with unbalanced intakes are discussed.
FEATURE Measuring EMR Adoption : A Framework and Case Study

Use of electronic medical records (EMRs) is being promoted and funded across Canada. There is a need to consistently assess the use of those EMRs. This paper outlines an EMR adoption framework developed by the University of Victoria’s eHealth Observatory. It assesses provider adoption of an EMR in office-based practices across ten functional categories. Assessments across practices can be compared and collated across regions and jurisdictions. A case study is presented in the paper that illustrates how the EMR adoption framework has been used over time with an office to help them assess and improve their EMR use. Introduction Canada still lags behind many countries in office-based electronic medical record (EMR) adoption (Schoen et al. 2009). There are several new and ongoing activities at provincial and national levels to spur the adoption of EMRs in medical offices. However, one of the missing pieces is a common framework to assess clinical adoption of the EMR within the office. Many provinces have funding and support programs to encourage EMR adoption. Alberta has had the longest-running provincially supported EMR adoption program in Canada. British Columbia, Saskatchewan, Manitoba, Ontario and Nova Scotia also have programs. Each program varies in support models, in which EMRs are supported and in overall adoption rates. Many of these programs have an interest in evaluating the impact of the money spent. In 2010, Canada Health Infoway received $500 million CDN; of this amount, $380 million is to be directed to office EMR adoption (Strasbourg 2010). This stimulus funding is meant to also support functional improvements and data interoperability among EMR products in Canada. Infoway is interested in ensuring systems are adopted in Canada. EMR implementation has been measured upwards of 37% in Canada (Schoen et al. 2009). However, current estimates in Canada are that only 14% of physicians are using EMRs in a clinically meaningful way (Dermer and Morgan 2010). Implementation does not necessarily imply clinical adoption and use. one of the missing pieces is a common framework to assess clinical adoption of the EMR within the office. With provincial and national funding streams spurring EMR adoption, now is an opportune time to develop and use a consistent framework for EMR adoption evaluation across jurisdictions. This paper presents a framework that could be used to help evaluate jurisdictional progress. It was also developed
A MULTIVARIATE TODA-YAMAMOTO ANALYSIS: THE LONG-RUN NEXUS BETWEEN INDUSTRIAL EFFICIENCY AND DISAGGREGATED ENERGY CONSUMPTION

§ Corresponding author ABSTRACT This paper examines the long-run nexus between industrial efficiency and disaggregated energy consumption in Malaysia. Disaggregated data from 1971 to 2011 facilitated by World Bank and Toda-Yamamoto (TY) estimation techniques are employed in the investigation process. The findings of this study indicate that energy consumption at disaggregated levels maintains a long-run relationship with industrial efficiency. Findings further indicate that higher levels of industrial efficiency cause environmental pollution through the spread of carbon emissions. This study proposes significant policy recommendations for efficient use of energy that would improve industrial efficiency and reduce environmental pollution.
USE OF TREE DAMAGE AND TREE-RING INFORMATION TO UNDERSTAND THE DYNAMICS AND IMPROVE THE CARTOGRAPHY OF CANAL DEL ROC ROIG AVALANCHE PATH (VALL DE NÚRIA)

The map collection “Mapa de Zones d’Allaus” (MZA) (Avalanche Paths Map) 1:25.000 of the Institut Cartografic de Catalunya (ICC) has been made using different information sources: population inquiry, historical research, terrain features and vegetation checking. Other sources of information allow a higher resolution in the cartography, such as the detailed study of the effects on vegetation and tree-ring analysis. In a forested snow avalanche path, a dendrochro nological analysis of the trees and other woody species can provide acurate data about frequency, maximum avalanche area, and also aproximate extension of single events. Canal del Roc Roig avalanche path is a lateral gully of Nuria river which affects the Nuria rack railway at Pla de Sallent site. In this path, a study based on the vegetation and on the morphology and damage of trees (Dept. de Geodinamica i Geofisica of the Universitat de Barcelona and ICC) 1 and an extensive dendrochronological study of 470 trees have detected several avalanche episodes, some already known, but others not documented, such as the one that occurred in 1930 (ICC and the Dept. d’Ecologia of the Universitat de Barcelona) 2 . The cartography of Canal del Roc Roig avalanche path limits was improved after analysing all the data extracted from the trees affected by avalanches, and valuable information to assess frequency and magnitude of the avalanches that occur has been obtained. 1 Projects RISKNAT SGR2001 00081 and SEID REN2000-0518 2 Project ALUDEX REN2002-02768