Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Prehospital Care Delivered to Adult Poly-traumatizedPatients in Suez Canal University Hospital

Introduction: Advanced prehospital Trauma Life Support is the standard of care for trauma patients, and it is for rapid approach to the most immediate life-threatening conditions which should be quickly identified and addressed in the order of their risk potential. Aim of work: evaluating the effectiveness of pre hospital assessment and management of the adult poly traumatized patients to improve the outcomes in Suez Canal university hospitals. Patients and methods: This is a descriptive study conducted at Emergency department at Suez Canal University hospital for 12 months from October 2014 to October 2015 to evaluate the pre hospital care delivered to poly trauma patients aiming to improve the effectiveness of pre hospital care conducted to poly trauma patients in the pre hospital phase. Results: In this study, the mean age was 32.6+6.2 years, 53% of them between 31-40 years with male to female ratio 2:1 and the difference between rural and urban 30%. This study showed that delay in arrival is strongly related with percent of mortality, as it was 14.3% with time arrival > 2 hours. This study showed that mortality rate increased in patients with hypotension as 6.15% mortality between cases presented with systolic BP 80 mm hg. Conclusion: There was a relation between number of mortality and absence, ineffective or delayed pre hospital care for adult poly trauma patients.
Some aspects of Cantor sets

For every positive, decreasing, summable sequence a = (ai), we can construct a Cantor set Ca associated with a. These Cantor sets are not necessarily self-similar. Their dimensional properties and measures have been studied in terms of the sequence a. In this thesis, we extend these results to a more general collection of Cantor sets. We study their Hausdorff and packing measures, and compare the size of Cantor sets with the more refined notion of dimension partitions. The properties of these Cantor sets in relation to the collection of cut-out sets are then considered. The multifractal spectrum of p-Cantor measures on these Cantor sets are also computed. We then focus on the special case of homogeneous Cantor sets and obtain a more accurate estimate of their exact measures. Finally, we prove the L-improving property of the p-Cantor measure on a homogeneous Cantor set as a convolution operator.
Combining Ability And Inheritance Of Growth Traits In Rabbits

New Zealand Red, Californian White and Chinchilla rabbit’s growth performance traits were evaluated using diallel analysis. Data on body linear measurements were analysed by partial diallel analysis. The data were first corrected for significant effect of animals’ sex using least squares constants while effects of months of birth of the kittens and their does’ age were not significant. The results showed that General and Specific Combining Ability (GCA) were significant for all traits measured. Both additive and non-additive effects influenced the performance of the hybrid in all the traits. The non-additive effects played a more important role than additive effects in body weight, height at withers and trotter length and additive effects were more important for ear length, body length, breast girth and tail length. The New Zealand Red and Californian White parents were found as the reliable general combiner. The reciprocal effect was not found to be significant for all traits. Therefore, use of separate male and female breeds of rabbit in any crossbreeding programme may not accumulate additional advantage. Keywords: General Combining Ability, Heritability, Rabbit, Specific Combining Ability,
Analysts' Incentives to Produce Firm-Specific versus Industry-Level Information: Theory and Evidence

This paper analyzes the incentives of financial analysts to produce firm-specific versus industry-level information. We first develop a theoretical model in which an analyst covering a stock produces information and sells it to an investor. The investor trades based on this private information and pays a fraction of the profit to the analyst. We show that, for firms in mature industries (which dominate the economy), the investment value of additional firm-specific information (conditional on the information already reflected in the firm’s current stock price) is greater than the investment value of additional industry-level information. This would give analysts an incentive to produce more firm-specific than industry-level information. In contrast, for firms in emerging industries, analysts have an incentive to produce more industry-level than firm-specific information. The model thus provides a rational explanation for “tunnel vision” among analysts (the popular notion that they pay too much attention to firm-specific issues and too little to broad industry and market conditions). We then empirically test the predictions of the model using analyst earnings forecasts from IBES. The evidence is strongly consistent with the predictions. In the overall sample (dominated by firms in mature industries), firm-specific information indeed has more investment value than industry-level information: stock prices react more to firm-specific earnings forecast changes and less to industry-level earnings forecast changes. Further, in split-sample tests, this relationship is reversed for firms in emerging industries: in this case, stock prices react more to industry-level information and less to firm-specific information in analyst earnings forecasts. JEL Classification Code: D82, G14, G24
A review of gold mineralisation in the Ashanti belt of Ghana and its relation to the crustal evolution of the terrane

Gold mineralisation constitutes an important economic factor in the Palaeoproterozoic terrane of West Africa. The largest and most prominent mines, with a cumulative past production in excess of 1500 t of gold, are located in Ghana, more specifically in the Ashanti belt (Fig. 1). Geologists of the German Federal Institute for Geosciences and Natural Resources (BGR) and the Ghanaian Geological Survey Department have mapped and explored large parts of Ghana in the course of a number of projects of bilateral technical cooperation in recent years. Lately, work concentrated on gold mineralisation in the Ashanti belt of Ghana as part of the project “Metallogenesis of Gold in Africa”. This paper reviews and summarises the results of continuous geological work (Leube and Hirdes, 1986; Eisenlohr, 1989, 1992; Hirdes and Leube, 1989; Leube et al., 1990; Eisenlohr and Hirdes, 1992; Hirdes et al., 1992; Taylor et al., 1992: Blenkinsop et al., 1994; Davis et al., 1994; Hirdes and Nunoo, 1994; Hohndorf et al., 1994; Oberthur et al., 1994) and specifically intends to place gold mineralisation into the framework of crustal evolution deciphered so far. Open questions and critical points will be discussed.
Mapache: a flexible pipeline to map ancient DNA

Abstract Summary We introduce mapache, a flexible, robust and scalable pipeline to map, quantify and impute ancient and present-day DNA in a reproducible way. Mapache is implemented in the workflow manager Snakemake and is optimized for low-space consumption, allowing to efficiently (re)map large datasets—such as reference panels and multiple extracts and libraries per sample — to one or several genomes. Mapache can easily be customized or combined with other Snakemake tools. Availability and implementation Mapache is freely available on GitHub (https://github.com/sneuensc/mapache). An extensive manual is provided at https://github.com/sneuensc/mapache/wiki. Supplementary information Supplementary data are available at Bioinformatics online.
Poverty and Inequality in Chile 1990-1998: Learning from Microeconomic Simulations

This paper contributes to understand the microeconomic determinants of household income dynamics in poverty and inequality in Chile during the 90’s . We use a microsimulation based on the decomposition of distributional changes, developed by Bourguignon et.al. (2000). We estimate a participation model and an earnings equation for each economic agent. We examine how income distribution and poverty would change as a result of a different set of microsimulations. In particular, the distributional structure of 1998 is imposed in 1990. The evidence suggest that while poverty responds strongly to the simulation exercises, the distribution of income appears less sensitive, and is therefore more stable. In particular, we can state that a reduction in poverty would have been observed in 1990 if the returns to education, the regional effects, the structure of non-observables, and the endowments of 1998 had been present. The opposite would have occurred in the case of considering the “returns on experience” and the structure of participation. With respect to the income distribution, in spite of its stability, the most interesting results come from a dynamic perspective. The observed inequality indicators remain at the same level between 1990 and 1998, but if 1998 prices had been observed in 1990, then an increase in inequality would have been registered. The changes in the return to education (and in its convexity) and the structure of participation also increase inequality. The effect of non-observables, in contrast, would have meant a better distributed income distribution in 1990.
Interoperability issues between markup formats for mathematical exercises

In this paper we describe several existing knowledge representation formats for interactive exercises and how these address the representational needs of mathematical exercises. The paper also provides an overview of existing tools that support these formats such as players, rendering exercises and the role of mathematical services assisting these players. Since most of the developers of this family of languages have the same goal, it is now more possible than before, to reach a common representation format. Having this in mind, we discuss features, limitations and the interoperability between them.
Fitting data mining to the organization : using validity , utility and novelty in the pattern evaluation phase of data mining

An organization’s productivity can increase by 6% if they are able to make use of existing data in their decision making process. To exploit this potential, an organization should be able to successfully apply data mining and combine it with decision making. However, in practice it is difficult to interpret data mining results and translate them to action and value for organizations. This research presents a generalizable process for pattern evaluation in organizations, that bridges the gap between data mining and decision making. It presents the quality criteria validity, utility and novelty to evaluate patterns on, and describes how these criteria should be related to each other. In order to balance objective and subjective decision making and to integrate inductive methods with deductive methods, the process decouples the evaluation phase in three steps, corresponding to the quality criteria. This process functions as a starting point for an integration of data mining and decision making. Further research should be focused on the incorporation of outranking methods for decision making and should expand the focus to the deployment of the discovered knowledge in the organization.
A method based on compressive sensing to detect community structure using deep belief network

A deep learning scheme based on compressive sensing to detect community structure of large-scale social network is presented. Our contributions in this work are as follows: First, we reduced the high-dimensional feature of social media data via compressive sensing by using random measurement matrix; Second, deep belief network is employed to learn unsupervised from the low-dimensional samples; Finally the model is fine-tuned by supervised learning from a small scale sample sets with class labels. The effectiveness of the proposed scheme is confirmed by the experiment results. Keywords—compressive sensing; community structure; social network; deep belief network(DBN)
Evidence on the Relationship between Incentives and Exogenous Risk

Theoretical models on moral hazard provide competing predictions on the relationship between pay-for-performance incentives and risk. These predictions are derived under the assumptions that agents are homogeneous and risk is exogenous. This paper tests the incentive-risk relationship by means of a longitudinal database on tenancy contracts. Detailed information on cropping activities is used to construct a plot-level measure for exogenous risk. The existence of tenants managing multiple plots under different contracts is used to account for risk-aversion heterogeneity and other self-selection issues. Contrary to the standard risk-sharing prediction, I find a positive correlation between incentives and exogenous risk.
THEORETICAL INVESTIGATION INTO THE PERFORMANCE OF THE ROTARY-SCREW FLUID DISPENSING PROCESS

This paper represents the development of a dynamic model for the rotary-screw dispensing process, by taking into accounts for both fluid compressibility and non-Newtonian flow behavior. In particular, the flow behavior of the fluid being dispensed is characterized by using the power law equation; and then based on the fundamentals of flow in the screw channel and needle, a model is developed to represent the dynamics of the flow rate in the rotary-screw dispensing process. Simulations are carried out to investigate the process performance, with an emphasis on identifying the influence of the key process parameters.
Ecological studies on Aerangis biloba (Lindl.) Schltr. (Orchidaceae) in NACGRAB field gene bank, southwestern Nigeria

Aerangis biloba (Lindl.) Schltr. belongs to the family Orchidaceae, which is listed as threatened under the Appendix II of the CITES. This study was conducted to estimate the population and distribution of Aerangis biloba in the field by National Centre for Genetic Resources and Biotechnology (NACGRAB), Ibadan, southwestern Nigeria. Twenty five sample plots of 50m by 50m each along line transects were randomly chosen and studies were carried out on them. The results were correlated with the factors that affect the distribution and survival of A. biloba. A total of 129 specimens of A. biloba were observed within the study area, giving a population density of 5.16 orchids per m2. This indicates that the species is abundant in the sampled area, as a result of good population of the selected phorophytes. The analysis of the data indicated a high correlation between and among the plots (P=0.0003). A. biloba was observed only on nine trees among over 160 trees present in the sampling area, suggesting that these nine trees could act as phorophyte for A. biloba of which, Irvingia gabonensis and Irvingia wombulu harbored the highest number of orchids. The paper gives a synopsis of the economic and ecological significance of orchids. It also recommends controlled harvesting, reduced deforestation and establishment of orchid gardens as some of the effective ways of enhancing orchid conservation in Nigeria.
A Sample of Gay and Bisexual Male Adolescents in Puerto Rico : Strengths and Vulnerabilities in a Heterosexually Dominated Culture

Adolescence is a developmental process with multiple psychosocial dimensions and the social meanings attributed to it place youth in a social limbo; they are not children but not yet adults. It is important to contextualize the difficulties gay adolescents face due to their sexual identity, their social vulnerability associated to their particular developmental process, and their ethnicity. We explore the vulnerabilities and strengths of a sample of Puerto Rican gay and bisexual (GB) male youth. Participants were 61 highly educated GB youths living in Puerto Rico. Levels of depression, perceived social support, alcohol and drug use, and sexual behavior were assessed. Results show that 45% of participants reported high levels of depression. However participants reported low levels of alcohol and drug consumption, no unprotected sexual behavior, and high satisfaction with social support. Participants showed a high level of resilience associated to their social networks, consistent use of protection for high-risk sexual behavior, and capacity to integrate their sexual orientation to the ir overall development in a heterosexist Latino society. Although results cannot be generalized to all Puerto Rican GB youth, they are useful to support the need for community level interventions addressing the strengths of this population.
An iterative hard thresholding estimator for low rank matrix recovery with explicit limiting distribution

We consider the problem of low rank matrix recovery in a stochastically noisy high dimensional setting. We propose a new estimator for the low rank matrix, based on the iterative hard thresholding method, and that is computationally efficient and simple. We prove that our estimator is efficient both in terms of the Frobenius risk, and in terms of the entry-wise risk uniformly over any change of orthonormal basis. This result allows us, in the case where the design is Gaussian, to provide the limiting distribution of the estimator, which is of great interest for constructing tests and confidence sets for low dimensional subsets of entries of the low rank matrix.
Tourists’ Perspective of the Brand Image of Mauritius

Brand image is a prominent marketing tool for many destination marketers. A strong brand image is equivalent to a rise in first-time customer purchase, positive word-of-mouth (WOM) and customer loyalty. Mauritius is a popular holiday destination for Europeans, however, there is a lack of research on the perceptions of its brand image among tourists visiting the island. The current study aims to fill this gap by investigating the brand image of Mauritius among European tourists. A conceptual framework that enables to establish the link between destination positioning, brand image, tourists’ expectations and perceptions, customer value, word-of-mouth and destination loyalty is proposed. Descriptive statistics and one-way ANOVA are used to analyze the results. The results reveal that the brand image of Mauritius is associated mostly with the Sun, Sea and Sand (3S), a peaceful and relaxing environment, and the hospitality of Mauritians. In order to consolidate the brand image of Mauritius, the weak brand image attributes have to be redressed. Results also reveal positive relationships among perceptions, customer value, loyalty and WOM. The ANOVA analysis reveals that gender and repeat visit have various degrees of influence on brand image, while age show no indication of significant impact.
The one million gate ASIC challenge: not with behavioral modeling and synthesis

The large ASIC IC design problem is discussed within the Verilog hardware description language research program. Large ASIC design using the behavioral design with synthesis method is shown to be infeasible by showing that evolutionary improvement of traditional gate level tools and increased logic designer skill is both necessary and sufficient. Suggestions for applying Verilog to large gate level ASIC design and for improving Verilog in the accurate timing gate level simulation area are made. <<ETX>>
A Practical Mixed Analysis Framework for Arbitrary Binary Fragments

We present ROSE, a high-fidelity, pluggable framework for binary analysis. ROSE has the unique capability of executing a program concretely or abstractly, starting from any offset. Thus, ROSE can analyze program fragments or functions in third-party binaries. The challenge inherent to starting from any offset is handling the initial lack of state. To overcome this challenge, ROSE accurately models each non-floating-point x86 instruction and how it operates on the heap, stack, and register file. This model and ROSE’s support for system calls guarantee that no external, unanalyzable functions exist to limit or disrupt ROSE’s analysis. ROSE supports execution over any abstract domain. Finally, ROSE integrates a disassembler and simulator: on behalf of the disassembler, the simulator resolves indirect jumps; in turn, the disassembler informs the simulator where valid instructions start. This synergism improves the state-of-the-art in detecting indirect jumps and functions. To test ROSE, we compared its concrete interpretation against native execution, instruction by instruction, for programs in POSIX.12008. For system calls, including threading, ROSE marshals a program’s interpreted state to and from native, concrete state; this mechanism passes the Linux Test Project. ROSE is easy to use: To incorporate a new abstract domain, one need only define a small set of functions. ROSE can simultaneously support multiple abstract domains and allow the user to determine which function it currently interprets. We use case studies to demonstrate its extensive feature set. ROSE is licensed under the MIT license and available for download at <anonymized url>.
Study of the Effects of Space Radiation on Mouse ES cells

As long-term human space flight is now required for cosmic exploration, the influence of space radiation and microgravity on the human body is an issue of high priority. We plan to launch frozen mouse embryonic stem (ES) cells into space, to expose them to space radiation. After returning to the ground, we will microinject the ES cells into fertilized eggs to produce mice, and evaluate the influence of space radiation on their development and on their descendents.
Hyper-inflammation and endothelial activation in HIV infected patients with detectable and undetectable viral load.

Although HIV and antiretroviral therapy (ART) have been linked with an increased cardiovascular risk, the pathological pathways remain unknown. We assessed whether secretory phospholipase A2 (sPLA2), high-sensitivity C-reactive protein (hs-CRP), vascular cell adhesion molecule (VCAM), thiobarbituric acid reactive species (TBARS), Superoxide dismutases (SOD), adiponectin and resistin were elevated in HIV infected patients with detectable and undetectable viral load compared to a control group matched for age, sex and cardiovascular risk factors. We evaluated its correlation with traditional and no traditional cardiovascular risk factors and carotid intima-media thickness. Levels of sPLA2 (median [IQR]) were 8.35 (5.36, 9.6) pg/ml, hsCRP were 3.3 (IQR, 1.27, 5.28) mg/L, VCAM 945.6 (IQR, 655.9, 1404.05) ng/ml and TBARS 1.69 (IQR, 1.39, 1.97) uM/L in HIV infected group compared to levels of sPLA2 1.22 (IQR, 0.69, 2.62) pg/ml (p<0.001), hsCRP 3.05 (IQR, 2.68, 3.27) mg/L (p=0.05), VCAM 678.35 (IQR, 530.39, 831.04) ng/ml (p<0.001) and TBARS 7.47 (IQR, 5.03, 10.4) uM/L (p<0.001) in control group. Levels of VCAM (median [IQR]) were 1047.19 (IQR, 609.06, 1084.1) ng/ml (p=0.015) and sPLA2 were 7.6 (IQR, 5.25, 9.6) pg/ml (p<0.001) in HIV infected patients with undetectable viral load compared to control group. There was a good correlation between all analyzed biomarkers and cardiovascular risk factors. In conclusion, HIV infection induces chronic inflammation and endothelial activation that is not completely suppressed by the treatment.