Miracle-dz/UniFAR-FTUs huggingface dataset:
ISM@FIRE-2013 Information Access in The Legal Domain

This paper describes the work that we did as a participant in the task of Adhoc retrieval from legal documents (Consumer Law and Hindu Marriage & Divorce Law) at FIRE 2013. We managed two runs using the Indri search retrieval system as official submission. However, post-submission, we experimented with ten different models using the TERRIER system. With the available qrels, we could evaluate only the runs pertaining to Consumer Law. Initial results have shown substantial improvement in retrieval performance. Our experimentation has also resulted in preparing a cookbook for optimal parameter-setting for a number of Terrier models. In Identification and Classification of Propositions in Court Judgment (parse each judgment into individual propositions), we have written a program which takes a single file as an input from the corpus and breaks the data of the given file into individual sentences. In summary, ours was a rich learning experience which needs to be continued to gain further insights. Also, we believe as pilot track, information access from legal domain is promising enough to be continued further as it has potential of being a fertile research area, specifically in Indian context.
Perinatal and maternal outcomes in Tuzla Canton during 1992-1995 war in Bosnia and Herzegovina.

AIM To compare perinatal and maternal outcomes in Tuzla Canton during the 1992-1995 war in Bosnia and Herzegovina with those before (1988-1991) and after (2000-2003) the war. METHODS We retrospectively collected data on a total of 59,707 liveborn infants and their mothers from the databases of Tuzla University Department for Gynecology and Obstetrics and Tuzla Institute for Public Health. Data on the number of live births, stillbirths, early neonatal deaths, causes of death, gestational age, and birth weights were collected. We also collected data on the number of medically unattended deliveries, examinations during pregnancy, preterm deliveries, and causes of maternal deaths. Perinatal and maternal outcomes were determined for each study period. RESULTS There were 23,194 live births in the prewar, 18,302 in the war, and 18,211 in the postwar period. Prewar perinatal mortality of 23.3 per 1000 live births increased to 25.8 per 1000 live births during the war (P<0.001), due to a significant increase in early neonatal mortality (10.3 per thousand before vs 15.1 per thousand after the war, P<0.001). After the war, both perinatal mortality (14.4 per thousand) and early neonatal mortality (6.6 per thousand) decreased (P<0.001 for both). The most frequent cause of early neonatal death during the war was prematurity (55.7%), with newborns most often dying within the first 24 hours after birth. During the war, there were more newborns with low birth weight (<2500 g), while term newborns had lower average body weight. Women underwent 2.4 examinations during pregnancy (5.4 before and 6.3 after the war, P<0.001 for both) and 75.9% had delivery attended by a health care professional (99.1% before and 99.8% after the war; P<0.001 for both). Maternal mortality rate of 65 per 100,000 deliveries during the war was significantly higher than that before (39 per 100,000 deliveries) and after (12 per 100,000 deliveries) the war (P<0.001 for both). CONCLUSION Perinatal and maternal mortality in Tuzla Canton were significantly higher during the war, mainly due to lower adequacy and accessibility of perinatal and maternal health care.
Predictive Modeling using Features derived from Paths in Relational Graphs

This paper is concerned with supervised learning in relational domains. As relational framework, we use the Resource Description Framework (RDF) that is the basis for representing information about resources in the World Wide Web. The fundamental RDF structure is a relational graph such that feature derivation can be formulated in a simple graphical context. We present learning solutions for literal prediction, classification and relation prediction. We discuss featurebased learning and kernel-based learning. We present experimental results using a bio-informatics data set and a recommendation data set.
DErivBase: Inducing and Evaluating a Derivational Morphology Resource for German

Derivational models are still an underresearched area in computational morphology. Even for German, a rather resourcerich language, there is a lack of largecoverage derivational knowledge. This paper describes a rule-based framework for inducing derivational families (i.e., clusters of lemmas in derivational relationships) and its application to create a highcoverage German resource, DERIVBASE, mapping over 280k lemmas into more than 17k non-singleton clusters. We focus on the rule component and a qualitative and quantitative evaluation. Our approach achieves up to 93% precision and 71% recall. We attribute the high precision to the fact that our rules are based on information from grammar books.
Effects of creatine supplementation on homocysteine levels and lipid peroxidation in rats

Hyperhomocysteinaemia is an independent risk factor for CVD. Recent data show a relationship between homocysteine (Hcy) and free radical formation. Since creatine synthesis is responsible for most of the methyl group transfers that result in Hcy formation, creatine supplementation might inhibit Hcy production and reduce free radical formation. The present study investigated the effects of creatine supplementation on Hcy levels and lipid peroxidation biomarkers. Thirty rats were divided into three groups: control group; diet with creatine group (DCr; 2 % creatine in the diet for 28 d); creatine overload plus diet with creatine group (CrO+D; 5 g creatine/kg by oral administration for 5 d+2 % in the diet for 23 d). Plasma Hcy was significantly lower (P < 0·05) in DCr (7·5 (sd 1·2) μmol/l) and CrO+D (7·2 (sd 1·7) μmol/l) groups compared with the control group (12·4 (sd 2·2) μmol/l). Both plasma thiobarbituric acid-reactive species (TBARS) (control, 10 (sd 3·4); DCr, 4·9 (sd 0·7); CrO+D, 2·4 (sd 1) μmol/l) and plasma total glutathione (control, 4·3 (sd 1·9); DCr, 2·5 (sd 0·8); CrO+D, 1·8 (sd 0·5) μmol/l) were lower in the groups that received creatine (P < 0·05). In addition, Hcy showed significant negative correlation (P < 0·05) with plasma creatine (r − 0·61) and positive correlation with plasma TBARS (r 0·74). Plasma creatine was negatively correlated with plasma TBARS (r − 0·75) and total peroxide (r − 0·40). We conclude that creatine supplementation reduces plasma Hcy levels and lipid peroxidation biomarkers, suggesting a protective role against oxidative damage. Modulating Hcy formation may, however, influence glutathione synthesis and thereby affect the redox state of the cells.
Error rate performance of coded free-space optical links over gamma-gamma turbulence

Error control coding can be used over free-space optical (FSO) links to mitigate turbulence-induced fading. In this paper, error performance bounds for coded FSO communication systems operating over atmospheric turbulence channels is derived, considering the recently introduced gamma-gamma turbulence model. Also a pairwise error probability (PEP) expression is derived and then applies the transfer function technique in conjunction with the derived PEP to obtain upper bounds on the bit error rate. Simulation results are further demonstrated to confirm the analytical results.
Estimation of the knee joint angle from surface electromyographic signals for active control of leg prostheses

The surface electromyographic (SEMG) signal is very convenient for prosthesis control because it is non-invasively acquired and intrinsically related to the user's intention. This work presents a feature extraction and pattern classification algorithm for estimation of the intended knee joint angle from SEMG signals acquired using two sets of electrodes placed on the upper leg. The proposed algorithm uses a combination of time-domain and frequency-domain approaches for feature extraction (signal amplitude histogram and auto-regressive coefficients, respectively), a self-organizing map for feature projection and a Levenberg–Marquardt multi-layer perceptron neural network for pattern classification. The new algorithm was quantitatively compared with the method proposed by Wang et al (2006 Med. Biol. Eng. Comput. 44 865–72), which uses wavelet packet feature extraction, principal component analysis and a multi-layer perceptron neural classifier. The proposed method provided lower error-to-signal percentage and peak error amplitudes, higher correlation and fewer error events. The algorithm presented in this work may be useful as part of a myoelectric controller for active leg prostheses designed for transfemoral amputees.
Network virtualization over heterogeneous federated infrastructures: Data plane connectivity

Federation of Future Internet (FI) infrastructures is an emerging requirement of the FI research community giving the ability to experimenters to use a variety of virtual appliances spread across different virtualized platforms. Federated architecture implementations, such as the Slice-based Federation Architecture (SFA), are capable of providing a unified way of interaction across domains but do not address the data plane interconnection problem, i.e. one virtual entity in one domain connecting at the data-link (Ethernet) layer with another virtual entity in a remote domain. This paper presents a novel scheme for interconnecting heterogeneous virtualized infrastructures at the data plane that considers concurrence, isolation, elasticity and programmability aspects. We tested and assessed our scheme using a software switch prototype that interconnects resources drawn from PlanetLab and FEDERICA virtualization infrastructures. Performance evaluation measurements indicate that our proposed stitching approach introduces minimal degradation on end-to-end delays and bandwidth between virtual entities, compared to physical (substrate) entities.
Radial Flow of Dust Particles in Accretion Disks

We study the radial migration of dust particles in accreting protostellar disks analogous to the primordial solar nebula. Our main objective is to determine the retention efficiency of dust particles, which are the building blocks of the much larger planetesimals. This study takes account of the two-dimensional (radial and normal) structure of the disk gas, including the effects of the variation in the gas velocity as a function of distance from the midplane. It is shown that the dust component of disks accretes slower than the gas component. At high altitude from the disk midplane (higher than a few disk scale heights), the gas rotates faster than the particles because of the inward pressure gradient force, and its drag force causes particles to move outward in the radial direction. Viscous torque induces the gas within a scale height from the disk midplane to flow outward, carrying small (size ≲ 100 μm at 10 AU) particles with it. Only particles at intermediate altitude or with sufficiently large sizes (≳1 mm at 10 AU) move inward. When the particles' radial velocities are averaged over the entire vertical direction, the particles have a net inward flux. The magnitude of their radial motion depends on their distance from the central star. At large distances, particles migrate inward with a velocity much faster than the gas accretion velocity. However, their inward velocity is reduced below that of the gas in the inner regions of the disk. The rate of velocity decrease is a function of the particles' size. While larger particles retain fast accretion velocity until they approach closer to the star, 10 μm particles have slower velocity than the gas in the majority of the disk (r ≲ 100 AU). This differential migration of particles causes size fractionation. Dust disks composed mostly of small particles (size ≲ 10 μm) accrete slower than gas disks, resulting in an increase in the dust-gas ratio during the gas accretion phase. If the gas disk has a steep radial density gradient or if dust particles sediment effectively to the disk midplane, the net vertically averaged flux of particles can be outward. In this case, the accretion of the dust component is prevented, leading to the formation of residual dust disks after their gas component is severely depleted.
Advance in ERG Analysis: From Peak Time and Amplitude to Frequency, Power, and Energy

Purpose. To compare time domain (TD: peak time and amplitude) analysis of the human photopic electroretinogram (ERG) with measures obtained in the frequency domain (Fourier analysis: FA) and in the time-frequency domain (continuous (CWT) and discrete (DWT) wavelet transforms). Methods. Normal ERGs (n = 40) were analyzed using traditional peak time and amplitude measurements of the a- and b-waves in the TD and descriptors extracted from FA, CWT, and DWT. Selected descriptors were also compared in their ability to monitor the long-term consequences of disease process. Results. Each method extracted relevant information but had distinct limitations (i.e., temporal and frequency resolutions). The DWT offered the best compromise by allowing us to extract more relevant descriptors of the ERG signal at the cost of lesser temporal and frequency resolutions. Follow-ups of disease progression were more prolonged with the DWT (max 29 years compared to 13 with TD). Conclusions. Standardized time domain analysis of retinal function should be complemented with advanced DWT descriptors of the ERG. This method should allow more sensitive/specific quantifications of ERG responses, facilitate follow-up of disease progression, and identify diagnostically significant changes of ERG waveforms that are not resolved when the analysis is only limited to time domain measurements.
Relevance Feedback through the Generation of Trees for Image Retrieval Based on Multitexton Histogram

The Content-based image retrieval (CBIR) systems and their application in different areas of development, are current research topics, however the semantic gap between low-level image features and high-level semantic concepts handled by the user, is one of the main problems in the image retrieval. On the other hand, the relevance feedback has been used on many CBIR systems such as an effective solution to reduce the semantic gap. For that reason this paper proposes a method of relevance feedback based on the generation of trees and Histogram Multitexton descriptor. This method has been compared with the conventional RF algorithms "Query vector modification", and show significant improvements in terms of effectiveness in the image retrieval. Also the dimensionality of the Histogram Multitexton descriptor has been tested and with the first 64 dimensions increase its effectiveness which permit to reduce the computational processing time.
Foams based on low density polyethylene/hectorite nanocomposites: Thermal stability and thermo‐mechanical properties

Novel polymer nanocomposite foams made by a two step compression molding method are analyzed in this article. Nanocomposites of low density polyethylene and an organo-modified hectorite were first melt compounded and then foamed using a compression molding method. To study the influence of the presence and the amount of hectorite in both mechanical and thermal properties, samples with 3% and 7% content of hectorite were prepared. Polyethylene crystalline characteristics and thermal stability of the samples were studied by differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA), respectively. Mechanical properties of foams and solid nanocomposites were analyzed by using dynamical mechanical analysis (DMA). Thermal expansion of the samples was analyzed by thermomechanical analysis. The results indicate that the exfoliation of hectorite platelets was achieved after the foaming process, but not during the melt mixing step. Foams with hectorite nanoparticles exhibit improved thermal stability and mechanical properties when compared with neat polymeric foams. © 2007 Wiley Periodicals, Inc. J Appl Polym Sci 2007
A surveillance of nosocomial candida infections: epidemiology and influences on mortalty in intensive care units

Introduction It was aimed to investigate the frequency of Candida infections (CI) in the intensive care units (ICU), to determine typing of candida to evaluate risk factors associated with CI and mortality, and to evaluate influence of CI on mortality. Methods The prospective cohort study was carried out between Jan 1, 2009 and Dec 31, 2010 in ICUs, and the patients were observed with active surveillance. VITEK 2 Compact System (BioMerieux, France) kits were used for the identification of isolates from various clinical samples. Results A total of 2362 patients had enrolled for 16135 patients-days into the study. During the study, 63 (27,5%) of patients developed 77 episodes of CI were observed. Of the patients; 54% were male, 46% were female. Duration of hospitalization (OR = 1,03, p = 0,007), hyperglycemia (OR = 17,93, p = 0,009), and co-infections (OR = 3,98, p = 0,001) were identified as independent risk factors for CI. The most common infections were bloodstream (53%). 77 of 135 candida strains was isolated as causative pathogens. C. albicans (63,6%) was the most frequent species. Overall mortality rate was 78%. The rates of mortality attributable to CI and candidemia were 27%, and 18,3% respectively. Species- specific mortality rates of C.albicans and C.tropicalis were determined as 12%. High APACHE II scores (OR = 1,37; p = 0,002), and the use of central venous catheter (OR = 9,01; p = 0,049) were assigned as independent risk factors for mortality. Conclusion CI is an important problem in our hospital. CI and associated mortality can be prevented by controlling of risk factors. Updating of epidemiological data is required for successful antifungal treatment.
and learning : testing the state-dependent network model Influence of the interstimulus interval on temporal processing

References http://rstb.royalsocietypublishing. org/content/364/1525/1865.full. html#ref-list-1 This article cites 59 articles, 16 of which can be accessed free Subject collections (137 articles) cognition  (173 articles) neuroscience  Articles on similar topics can be found in the following collections Email alerting service here right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in the box at the top
Discretization of the Poisson equation using the interpolating scaling function with applications

Dyadic translations of the interpolating scaling function generate a basis that can be used to approximate functions and develop a multiresolution methodology for constructing smooth surfaces or curves. Many wavelet methods for solving partial di erential equations are also derived from the interpolating scaling function. However, little is done for developing a higher order numerical discretization methodology using the scaling function. In this article, we have employed an iterative interpolation scheme for the construction of scaling functions in a twodimensional mesh that is a finite collection of rectangles. We have studied the development of a weighted residual collocation method for approximating partial derivatives. We show that the discretization error is controlled by the order of the scaling function. The potential of this novel technique has been verified with some representative examples of the Poisson equation. We have extended the technique for solving nonlinear advection-di usion equations, and simulated a shear driven flow in a square cavity at CFL = 2:5 (Courant Friedrichs Lewy) andRe = 1 000 (Reynolds number). Agreement with the reference solution at a large CFL = 2:5 explores the potential of this development for advection dominated problems.
View Management of Projected Labels on Nonplanar and Textured Surfaces

This paper presents a new label layout technique for projection-based augmented reality (AR) that determines the placement of each label directly projected onto an associated physical object with a surface that is normally inappropriate for projection (i.e., nonplanar and textured). Central to our technique is a new legibility estimation method that evaluates how easily people can read projected characters from arbitrary viewpoints. The estimation method relies on the results of a psychophysical study that we conducted to investigate the legibility of projected characters on various types of surfaces that deform their shapes, decrease their contrasts, or cast shadows on them. Our technique computes a label layout by minimizing the energy function using a genetic algorithm (GA). The terms in the function quantitatively evaluate different aspects of the layout quality. Conventional label layout solvers evaluate anchor regions and leader lines. In addition to these evaluations, we design our energy function to deal with the following unique factors, which are inherent in projection-based AR applications: the estimated legibility value and the disconnection of the projected leader line. The results of our subjective experiment showed that the proposed technique could significantly improve the projected label layout.
Effects of normovolemic hemodilution combined with controlled hypotension on extravascular lung water and systematic oxygen metabolism for elderly patients

Objective: To investigate the effect of acute normovolemic hemodilution (ANH) combined with controlled hypotension (CH) on extravascular lung water and systematic oxygen metabolism for elderly patients, and to explore the clinical security of ANH + CH. Methods: 45 elderly patients undergoing elective spine and hip replacement surgery were selected and randomly divided into 3 groups (n=15 in each): control group (group A); acute normovolemic hemodilution group (group B); acute normovolemic hemodilution combined with controlled hypertension group (group C). Artery blood samples of patients were collected for blood-gas analysis at four time points: before induction of anesthesia (T1), after hemodilution (T2), 30 min after controlled hypotension (T3), after surgery (T4). We observed and recorded heart rate (HR), mean arterial pressure (MAP), central venous pressure (CVP), cardiac index (CI), systemic vascular resistance (SVR), intrathoracic blood volume (ITBV), extravascular lung water (EVLW), and calculated the values of oxygen delivery (DO2) and oxygen consumption (VO2). The recorded values of each group were compared and analyzed. Results: The Hct and Hb of patients in group B and group C decreased obviously after ANH compared with that of pre-surgery. After controlled hypotension, the HR of patients in group C elevated while MAP dropped, but the CVP was maintained at the preoperative level. There were differences in CI, SVR, ITBV and EVLW between the three groups at the same time point but without statistical significance, and all patients recovered to preoperative levels after operation. The SVR in both group B and C decreased obviously after hemodilution and controlled hypotension by comparing with preoperative level; and the SVR in patients of group C dropped more sharply at T3, which had statistical significance by comparing with group A at the same time point. The ITBV in group C at T3 changed obviously compared with the value at T1; but the decline, compared with group A at the same time point, was not obvious. The DO2 value in both group B and C increased at T2 and was significantly different from the value at T1 and the value of group A at T2; the DO2 in group B was still at the high level after CH, while the DO2 in group C recovered to the basic levels. The VO2 values of three groups all declined after ANH and CH, but the decreases were not obvious, and all groups recovered to preoperative levels after operation. Conclusion: Preoperative ANH can obviously increase the reserve of circulating blood volume for elderly patients; combining with controlled hypotension, it can maintain a stable perioperative circulatory function, significantly reduce ITBV and keep EVLW at normal level to avoid increasing the occurrence of pulmonary edema. In addition, it also can increase the oxygen supply and maintain a stable body oxygen metabolism.