Miracle-dz/UniFAR-FTUs huggingface dataset:
Since in Vitro Antioxidant Activity of Some Teucrium Species (lamiaceae)

ancient times, many official herbs have provoked interest as sources of natural products. They have been screened for their potential uses as alternative remedies for the treatment of many infections and preservation of foods from the toxic effects of oxi-dants. The preservative effect of many plant species and herbs suggests the presence of antioxidative and antimicrobial constituents (1). Many medicinal plants contain large amounts of antioxidants other than vitamin C, vitamin E, and carotenoids (2). Many herb species, especially those belonging to the Lamiaceae family, such as sage, oregano, and thyme, show strong antioxidant activity (1). A number of phenolic compounds with strong antioxidant activity have been identified in these plant extracts (3). The potential of the antioxidant constituents of plant materials for the maintenance of health and protection from coronary heart disease and cancer is also raising interest among scientists 207 The chemical composition and antioxidant activity of different extracts (diethyl ether, ethyl acetate and n-butanol) obtained from Teucrium species (T. chamaedrys, T. monta-num, T. polium) were investigated in this work. Phyto-chemical screening of the plant extracts proved the presence of flavonoids luteolin, apigenin and/or diosmetin. The chemical composition of extracts was evaluated by HPLC and spectrophotometry. Antioxidant activities of the extracts were evaluated using three complementary in vitro assays: inhibition of DPPH (1,1-diphenyl-2-pic-rylhydrazyl) radical, inhibition of hydroxyl radicals and protection of b-carotene-linoleic acid model system. In the first two assays, strong inhibitory activity was shown by T. montanum and T. chamaedrys extracts. In the b-caro-tene-linoleic acid model system, extracts from T. polium showed remarkable activity. These findings demonstrated that Teucrium species possess free radical and hydro-xyl radical scavenging activity as well as antioxidant activity in vitro.
Classical dynamics and stability of collapsing thick shells of matter

We study the collapse towards the gravitational radius of a macroscopic spherical thick shell surrounding an inner massive core. This overall electrically neutral macroshell is composed of many nested δ-like massive microshells which can bear non-zero electric charge, and a possibly non-zero cosmological constant is also included. The dynamics of the shells is described by means of Israel's (Lanczos) junction conditions for singular hypersurfaces and, adopting a Hartree (mean-field) approach, an effective Hamiltonian for the motion of each microshell is derived which allows us to check the stability of the matter composing the macroshell. We end by briefly commenting on the quantum effects which may arise from the extension of our classical treatment to the semiclassical level.
Dynamic Combination of Search and Variable Elimination in CSP and Max-CSP

Variable elimination is the basic step of Adaptive Consis-tency8]. It transforms the problem into an equivalent one, having one less variable. Unfortunately, there are many classes of problems for which it is infeasible, due to its exponential space and time complexity. However , by restricting variable elimination so that only low arity constraints are processed and recorded, it can be eeectively combined with search, because the elimination of variables, reduces the search tree size. In this paper we introduce VarElimSearch(S;k), a hybrid meta-algorithm that combines search and variable elimination. The parameter S names the particular search procedure and k controls the tradeoo between the two strategies. The algorithm is space exponential in k. Regarding time, we show that its complexity is bounded by k and a structural parameter from the constraint graph. We also provide experimental evidence that the hybrid algorithm can outperform state-of-the-art algorithms in binary sparse problems. Experiments cover the tasks of nding one solution and the best solution (Max-CSP). Specially in the Max-CSP case, the advantage of our approach can be overwhelming.
Covariate Functional Form in Cox Models Luke Keele 2140

In most event history models, the effect of a covariate on the hazard is assumed to have a log-linear functional form. For continuous covariates, this assumption is often violated as the effect is highly nonlinear. Assuming a log-linear functional form when the nonlinear form applies causes specification errors leading to erroneous statistical conclusions. Scholars can, instead of ignoring the presence of nonlinear effects, test for such nonlinearity and incorporate it into the model. I review methods to test for and model nonlinear functional forms for covariates in the Cox model. Testing for such nonlinear effects is important since such nonlinearity can appear as nonproportional hazards, but time varying terms will not correct the misspecification. I investigate the consequences of nonlinear function forms using data on international conflicts from 1950-1985. I demonstrate that the conclusions drawn from this data depend on fitting the correct functional form for the covariates.
Parametric modeling of brain signals

In this paper, modeling of EEG signals using parametric modeling - both linear and nonlinear has been explored. Linear models include autoregressive (AR) and autoregressive moving average (ARMA) models whereas the nonlinear models considered include polynomial autoregressive (PAR) and bilinear (BL) models. Model orders for all the four models have been determined by Akaike Information Criteria. Residual variance for all the four models have been computed and used as a criterion for comparison. It is observed that the bilinear model has worked effectively than the other three models. It has been observed that the BL model has the ability to model a large class of nonlinear systems. The evidence provided in this study suggests that modeling of EEG signals is yet another useful application of the bilinear model. However in situations where computational complexity (and hence the computation time) is very important, PAR model seems to be better, though with somewhat lesser performance. One of the important observations of the study is that the nonlinear models work very well on EEG signals. It is seen that the BL model outperforms PAR. A possible reason is that EEG is a random sum of the firings of billions of neurons, which is essentially a noise input. So as BL considers the past of the noise input along with past signal values, it performs better. These results seem to imply that the systems controlling brain dynamics are nonlinear. The suitability of BL and PAR models suggest that future studies on brain dynamics should focus on nonlinear methods of analysis.
Evaluating the Effectiveness of Information Presentation in a Full End-To-End Dialogue System

Recent work on information presentation in dialogue systems combines user modelling (UM) and stepwise refinement through clustering and summarisation (SR) in the UMSR approach. An evaluation in which participants rated dialogue transcripts showed that UMSR presents complex trade-offs understandably, provides users with a good overview of their options, and increases users' confidence that all relevant options have been presented (Demberg and Moore, 2006). In this paper, we evaluate the effectiveness of the UMSR approach in a more realistic setting, by incorporating this information presentation technique into a full end-to-end dialogue system in the city information domain, and comparing it with the traditional approach of presenting information sequentially. Our results suggest that despite complications associated with a real dialogue system setting, the UMSR model retains its advantages.
Rendering Large (Volume) Datasets: A new Parallel Visualization System

In this paper we describe a basis for a system that is able to compute actual scientific and realistic visualization methods in parallel. It is capable to integrate easily in modern VR renderers like for example Open Inventor [SGIa], Coin [Coi] and OpenSG [Vos02]. Our approach is advantageous for processing large datasets which usually are the result of physically based simulation algorithms and programs. Using our techniques it is even more feasible to manage similar visualization problems for other large amounts of data (e.g. medicinal CT-scans or large geometries) in the context of displaying interactively.
Wearable gait measurement system based on accelerometer and pressure sensor

This paper presents the development of wearable instrument that can be used to study the dynamics of human lower limb. Camera-based gait analysis and force plate system are expensive devices. It also requires time-consuming calibration and setup. The wearable system is much cheaper. This system uses gyroscopes and two-axis accelerometers to measure angle of patient's leg and ground while the patient walks. Ground reaction forces during human walking are measured using flexible force sensors placed beneath insoles of the shoes. Communication between the wearable system and computer monitor can be performed using the wireless data communication.
Transition choice probabilities and welfare analysis in random utility models

We study the descriptive and the normative consequences of attribute changes in standard discrete choice models. For additive random utility models, we derive expressions for the transition choice probabilities for a change in the systematic utility. We then use these expressions to compute the CDF’s of the compensating variation conditional on the initial and on the final choices. The conditional moments of the compensating variation are obtained as a one-dimensional integral of the transition choice probabilities. We also provide a stochastic version of Shephard’s Lemma when transitions are observed. Example of the logit and the disaggregated CES are also studied.
More Compact Oracles for Approximate Distances in Planar Graphs

Distance oracles are data structures that provide fast (possibly approximate) answers to shortest-path and distance queries in graphs. The tradeoff between the space requirements and the query time of distance oracles is of particular interest and the main focus of this paper. In FOCS'01, Thorup introduced approximate distance oracles for planar graphs. He proved that, for any eps>0 and for any planar graph on n nodes, there exists a (1+eps)-approximate distance oracle using space O(n eps^{-1} log n) such that approximate distance queries can be answered in time O(1/eps). Ten years later, we give the first improvements on the space-querytime tradeoff for planar graphs. * We give the first oracle having a space-time product with subquadratic dependency on 1/eps. For space ~O(n log n) we obtain query time ~O(1/eps) (assuming polynomial edge weights). The space shows a doubly logarithmic dependency on 1/eps only. We believe that the dependency on eps may be almost optimal. * For the case of moderate edge weights (average bounded by polylog(n), which appears to be the case for many real-world road networks), we hit a "sweet spot," improving upon Thorup's oracle both in terms of eps and n. Our oracle uses space ~O(n log log n) and it has query time ~O(log log log n + 1/eps). (Asymptotic notation in this abstract hides low-degree polynomials in log(1/eps) and log*(n). )
Parameter Estimation in Marshall-Olkin Exponential Distribution Under Type-I Hybrid Censoring Scheme

The two most popular censoring schemes used in life testing experiments are Type-I and Type-II censoring schemes. Hybrid censoring scheme is the mixture of Type-I and Type-II censoring scheme. In this article, we consider the estimati on of parameters of Marshall-Olkin exponential distribution based on Type-I Hybrid censored data. Both classical and Bayesian methodology have been discussed to estimate the model parameters. In classical set-up maximum likelihood estimators (MLEs) of the parameters have been obtained by using Newton-Raphson method and also by using Fisher information matrix 95% asymptotic confidence intervals are provided. In Bayesian set-up Lindl ey's approximation technique and Markov Chain Monte Carlo (MCMC) technique have been used to compute the Bayes estimators. Further, we have also provided highest posterior density (HPD) intervals of the parameters based on MCMC samples. To compare the performances of the estimators Monte Carlo simulation has performed and one data set is analysed for illustrative purpose of the s tudy.
Initial assessment of the benefits of implementing pharmacogenetics into the medical management of patients in a long-term care facility

The health care costs associated with prescription drugs are enormous, particularly in patients with polypharmacy (taking more than five prescription medications), and they continue to grow annually. The evolution of pharmacogenetics has provided clinicians with a valuable tool that allows for a smarter, more fine-tuned approach to treating patients for a number of clinical conditions. Applying a pharmacogenetics approach to the medical management of patients can provide a significant improvement to their care, result in cost savings by reducing the use of ineffective drugs, and decrease overall health care utilization. AltheaDx has begun a study to look at the benefits associated with incorporating pharmacogenetics into the medical management of patients who are on five or more medications. Applying pharmacogenetic guided PharmD recommendations across this patient population resulted in the elimination and/or replacement of one to three drugs, for 50% of the polypharmacy patient population tested, and an estimated US$621 in annual savings per patient. The initial assessment of this study shows that there is a clear opportunity for concrete health care savings solely from prescription drug management when incorporating pharmacogenetic testing.
GIT-CERCS Thermal Field Management for Many-core Processors

This paper first presents an analysis of the global thermal field in many core processors in deep nanometer (to 16nm) nodes under power and thermal budget. We show that the thermal field can have significant spatiotemporal non-uniformity along with high maximum temperature. We propose spatiotemporal power multiplexing as a proactive method to reduce spatial and temporal temperature gradients. Several power multiplexing policies are evaluated for a 256 core many-core processor in 16nm nodes which demonstrate that the simple cyclic core-activation can achieve highly uniform thermal field with low maximum temperature.
Dietary Quality among Tehranian Adults in Relation to Lipid Profile: Findings from the Tehran Lipid and Glucose Study

The prevalence of dyslipidaemia has been increasing in developing countries that are undergoing nutrition transition. However, the association of diet quality and lipid profile has not been well-understood in these countries. The aim of the current study was to compare the ability of three diet quality indices—the Mediterranean diet scale (MDS), healthy eating index-2005 (HEI-2005), and diet quality index-international (DQI-I) in relation to changes in lipid profile between baseline and 6.7 years of follow-up. Baseline data from two 24-hour dietary recalls provided by 469 adults with mean age of 38.7±12.3 years, who were participants of the Tehran Lipid and Glucose Study, were analyzed to describe dietary intakes. Data on anthropometry, sociodemography, physical activity, and other lifestyle variables were recorded, and a comparison of baseline and follow-up data revealed changes in the concentrations of total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C). A general linear model was used in assessing changes in lipid profile depending on adherence to diet quality indices at baseline, after adjustment for age, smoking status, waist-circumference, body mass index, physical activity, and energy intake. A significant interaction was observed between scores and sex, and upon stratification, males in the highest quartile score of the HEI-2005 had significantly lower TG changes than those in the lowest quartile, after adjusting for confounders (-8.8 vs 2.9, p=0.038). No association was apparent in females (-0.2 vs 11.2, p=0.297). In addition, a positive association was found between DQI-I and HDL-C (Q1=0.6 vs Q4=-2.0, p=0.044) in males. In both sexes, all these indices were weakly associated with TC while none was associated with LDL-C. It is concluded: adherence to the HEI-2005 recommendations was weakly associated with reduced TG concentration in an urban Iranian adult population. The MDS and DQI-I were not related to change in lipid profile.
The Meat and Bones of Message Passing

The following paper describes the skeleton and content idea behind Boost MPI. The idea is to make it easy to optimize the interprocess communication for parallel programs that transmit the same data structures many times. Boost MPI grew out of a project at Zurich Cantonal Bank where we implemented a large distributed Monte Carlo simulation to calculate the loss distribution of credit portfolios. It is now released as part of the Boost C++ libraries Gregor and Troyer (2005).
Private KeyBasedQuery on EncryptedData

Nowadays, users of information systems have inclination to use a central server to decrease data transferring and maintenance costs. Since such a system is not so trustworthy, users’ data usually upkeeps encrypted. However, encryption is not a nostrum for security problems and cannot guarantee the data security. In other words, there are some techniques that can endanger security of encrypted data. Majority of existing methods for encrypted data management have some critical defects such as cryptanalysis attacks, encryption/decryption overhead, and inefficient data storing and retrieval. In this paper, at first we propose a prototype model of private key based search on encrypted data. Then we try to improve it significantly to meet security requirements. Our main goal is to offer a practical method of querying arbitrary words on encrypted data using a minimal trust model. Moreover, we present a model for balancing between performance and security based on user’s requirements. In comparison with other methods, query response time is improved and the probability of statistical deductions is reduced. c © 2012 ISC. All rights reserved.
Two new species of Pestalotiopsis from Southern China

Three Pestalotiopsis isolates were obtained from leaves of Coffea arabica and Rhodomyrtus tomentosa . Among them, two isolates produced versicolorous conidia, and the other produced concolorous conidia. Phylogenetic analysis based on a combination of ITS, β-tubulin and tef 1 gene sequence data clearly confirms that they belong to two species and distinguishes them from other species in this genus, with ex-type sequence data in GenBank. On the basis of evidence from morphology and molecular phylogeny they are described as new species, Pestalotiopsis coffeae-arabicae sp. nov. and P. rhodomyrtus sp. nov.
Privacy and trust in the Islamic perspective: Implication of the digital age

In the name of Allah, most Gracious and most Merciful. The digital age is slowly degrading the limitation and common understanding of privacy and trust through digital life, which has open world concept. It has become normal procedure when the user must submit their personal details for digital service such as social networking, electronic commerce, personal hosting, etc. Meanwhile, to be able to revealing their privacy willingly, user put their trust on organization to use their data based on agreement. In this sense, user expects their privacy right to be protected securely and actively. The dilemma occurred due to commercialization, consumerism and legislation as interaction issues, which shift the focus of user to identify the importance of their personal data and organization to analyze the process of data management. On the other hand, Islam gave the basic understanding in privacy and trust that emphasize important factor in human determination and intention. This paper will focus on how to define the standard and limitation of the concept privacy and trust based on Islamic perspective in aligning with the implication of digital age related to interest, classification and purpose.
Simulating mission critical mobile ad hoc networks

In this paper we present a mobility model for ad hoc networks operating in mission critical situations, like for example natural or man-made disasters, military activities or emergency healthcare services. The proposed model captures the properties of mobility in situations like the above by incorporating hierarchical node organisation, typical for such scenarios modes of node activity, event-based destination selection and presence of physical obstacles that affect both the node movement and the signal propagation. The nodes are divided into groups with each group leader responsible for choosing the destination points. These choices resemble the events that occur in the network deployment area and the corresponding missions that are assigned to the node groups. The proposed model includes two modes of node activity that represent the two types of nodes primarily comprising such networks: the emergency workers and the medical staff. Each event belongs to a certain class, according to which reinforcements are called to provide further assistance. The conducted simulation study highlights the differences between the proposed model and other mobility models, by investigating their properties in terms of the resulting network topology and their impact on the performance of an ad hoc network operating under a well known routing protocol.