Miracle-dz/UniFAR-FTUs huggingface dataset:
The Use of Pediatric Ventricular Assist Devices in Children’s Hospitals From 2000 to 2010: Morbidity, Mortality, and Hospital Charges*

Objective: The use of ventricular assist devices has increased dramatically in adult heart failure patients. However, the overall use, outcome, comorbidities, and resource utilization of ventricular assist devices in pediatric patients have not been well described. We sought to demonstrate that the use of ventricular assist devices in pediatric patients has increased over time and that mortality has decreased. Design: A retrospective study of the Pediatric Health Information System database was performed for patients 20 years old or younger undergoing ventricular assist device placement from 2000 to 2010. Interventions: None. Measurements and Main Results: Four hundred seventy-five pediatric patients were implanted with ventricular assist devices during the study period: 69 in 2000–2003 (era 1), 135 in 2004–2006 (era 2), and 271 in 2007–2010 (era 3). Median age at ventricular assist device implantation was 6.0 years (interquartile range, 0.5–13.8), and the proportion of children who were 1–12 years old increased from 29% in era 1 to 47% in era 3 (p = 0.002). The majority of patients had a diagnosis of cardiomyopathy; this increased from 52% in era 1 to 72% in era 3 (p = 0.003). Comorbidities included arrhythmias (48%), pulmonary hypertension (16%), acute renal failure (34%), cerebrovascular disease (28%), and sepsis/systemic inflammatory response syndrome (34%). Two hundred forty-seven patients (52%) underwent heart transplantation and 327 (69%) survived to hospital discharge. Hospital mortality decreased from 42% in era 1 to 25% in era 3 (p = 0.004). Median hospital length of stay increased (37 d [interquartile range, 12–64 d] in era 1 vs 69 d [interquartile range, 35–130] in era 3; p < 0.001) and median adjusted hospital charges increased ($630,630 [interquartile range, $227,052–$853,318] in era 1 vs $1,577,983 [interquartile range, $874,463–$2,280,435] in era 3; p < 0.001). Factors associated with increased mortality include age less than 1 year (odds ratio, 2.04; 95% CI, 1.01–3.83), acute renal failure (odds ratio, 2.1; 95% CI, 1.26–3.65), cerebrovascular disease (odds ratio, 2.1; 95% CI, 1.25–3.62), and extracorporeal membrane oxygenation (odds ratio, 3.16; 95% CI, 1.79–5.60). Ventricular assist device placement in era 3 (odds ratio, 0.3; 95% CI, 0.15–0.57) and a diagnosis of cardiomyopathy (odds ratio, 0.5; 95% CI, 0.32–0.84), were associated with decreased mortality. Large-volume centers had lower mortality (odds ratio, 0.55; 95% CI, 0.34–0.88), lower use of extracorporeal membrane oxygenation, and higher charges. Conclusions: The use of ventricular assist devices and survival after ventricular assist device placement in pediatric patients have increased over time, with a concomitant increase in resource utilization. Age under 1 year, certain noncardiac morbidities, and the use of extracorporeal membrane oxygenation are associated with worse outcomes. Lower mortality was seen at larger volume ventricular assist device centers.
A FEATURE SELECTION APPROACH USING BINARY FIREFLY ALGORITHM FOR NETWORK INTRUSION DETECTION SYSTEM

The number of attacks in recent times has tremendously increased due to the increase in Internet activities. This security issue has made the Intrusion Detection Systems (IDS) a major channel for information security. The IDS’s are developed to in the handling of attacks in computer systems by creating a database of the normal and abnormal behaviours for the detection of deviations from the normal during active intrusions. The issue of classification time is greatly reduced in the IDS through feature selection. This paper is proposing the implementation of IDS for the effective detection of attacks. Based on this, the Firefly Algorithm (FA), a new binary feature selection algorithm was proposed and implemented. The FA selects the optimal number of features from NSL dataset. Additionally, the FA was applied with multi-objectives depending on the classification accuracy and the number of features at the same time. This is an efficient system for the detection of attacks reduction of false alarms. The performance of the IDS in the detection of attacks was enhanced by the proposed classification and feature selection algorithms.
EFECTO DE LA INOCULACIÓN DE BACTERIAS PROMOTORAS DE CRECIMIENTO VEGETAL SOBRE LA GERMINACIÓN DE Salicornia bigelovii Effect of Inoculation of Plant Growth Promoting Bacteria on Germination of Salicornia bigelovii

RESUMEN Salicornia bigelovii es una halofita que puedeproducir aceite y alimentos para consumo humano yanimal. Sin embargo, su productividad depende de laaportacion suplementaria de nitrogeno. Aunque lafertilizacion con nitrogeno incrementa el rendimiento ensuelos salinos, tambien tiene el potencial de incrementarla salinidad del suelo. Existe el potencial de utilizarmicroorganismos beneficos halotolerantes como bacteriaspromotoras del crecimiento (BPCP), para mitigar lasalinizacion y promover el crecimiento de Salicorniabigelovii . El objetivo del presente estudio consistio enevaluar el efecto de la inoculacion de dos halobacteriasBPCP: Azospirillum halopraeferens (Ah) y Klebsiellapneuomoniae (Kp), en semillas de cuatro ecotipos de S.bigelovii : Santa Rosa Grande (SRG), Santa Rosa Chica(SRCH), Santa Cruz (SC) y Cerro Prieto (CP), sometidasa tres concentraciones de salinidad (0.0, 0.25 y 0.5 M deNaCl). Los resultados indican un porcentaje mayor degerminacion en ausencia de NaCl, sobresaliendo losecotipos inoculados. Se encontro que, conformela salinidad se incrementa, Kp es particularmenteefectiva en aumentar el peso fresco y seco de plantulade SRCH y CP. El presente estudio muestra que lainoculacion con
Online news classification using Deep Learning Technique

M.tech Student , Dept. Of CSE at GZSCCET Bathinda, Punjab, India. Assistant Professor Dept. Of CSE at GZSCCET Bathinda, Punjab, India. ---------------------------------------------------------------------***--------------------------------------------------------------------Abstract Abstract A news classification task begins with a data set in which the class assignments are known. Classification are discrete and do not imply order. The goal of classification is to accurately predict the target class for each case in the data. Due to the Web expansion, the prediction of online news popularity is becoming a trendy research topic. Many researches have been done on this topic but the best result was provided by a Random Forest with a discrimination power of 73% accuracy. So, in this paper, main aim is to increase accuracy in predicting the popularity of online news. Thus, Neural Network will be implemented to acquire better results.
Inverse modeling of large‐scale spatially distributed vadose zone properties using global optimization

Computational capabilities have evolved to a point where it is possible to use multidimensional physically based hydrologic models to study spatial and temporal patterns of water flow in the vadose zone. However, models based on multidimensional governing equations have only received limited attention, in particular because of their computational, distributed input, and parameter estimation requirements. The aim of the present paper is to explore the usefulness and applicability of the inverse method to estimate vadose zone properties using the solution of a physically based, distributed three‐dimensional model combined with spatially distributed measured tile drainage data from the 3880‐ha Broadview Water District (BWD) in the San Joaquin Valley of California. The inverse problem is posed within a single‐criterion Bayesian framework and solved by means of the computerized Shuffled Complex Evolution Metropolis global optimization algorithm. To study the benefits of using a spatially distributed three‐dimensional vadose zone model, the results of the 3‐D model were compared with those obtained using a simple storage‐based bucket model and a spatially averaged one‐dimensional unsaturated water flow model for a 2‐year period. District‐wide results demonstrate that measured spatially distributed patterns of drainage data contain only limited information for the identification of vadose zone model parameters and are particularly inadequate to identify the soil hydraulic properties. In contrast, the drain conductance and a soil matrix bypass coefficient were well determined, indicating that the dominant hydrology of the BWD was determined by drain system properties and preferential flow. Despite the significant CPU time needed for model calibration, results suggest that there are advantages in using physically based hydrologic models to study spatial and temporal patterns of water flow at the scale of a watershed. These models not only generate consistent forecasts of spatially distributed drainage data during the calibration and validation period but also possess unbiased predictive capabilities with respect to measured groundwater table depths not included in the calibration.
Target Handoff with Appearance Model Inheriting and Learning

We address the issue of continuous tracking of the target in an environment covered by multiple cameras. In such a scenario, target handoff is a key problem. In this paper, we propose a novel target handoff method based on appearance model inheriting and learning. The appearance model is initially learned by sparse representation using the tracking results in the first camera. The next camera inherits the appearance model for target handoff and updates it after getting the whole tracking results. Then, the appearance model is transferred to the following camera. By the appearance model inheriting and learning, the appearance model can describe the target more and more precisely, which will make the target handoff more accurately and effectively. We also demonstrate the performance of our method on several video surveillance sequences.
Local geographies of the coastal cactus wren and the coastal California gnatcatcher on Marine Corps Base Camp Pendleton California

OF THE THESIS Local Geographies of the Coastal Cactus Wren and the Coastal California Gnatcatcher on Marine Corps Base Camp Pendleton California by Jennifer Rebecca Vaughan Master of Science in Geography San Diego State University, 2010 The coastal cactus wren (Campylorhynchus brunneicapillus couesi) is a California Species of Special Concern and the coastal California gnatcatcher (Polioptila californica californica) is a federally listed threatened species. Both are target species under California’s Natural Communities Conservation Program. Habitat loss is the driving force for population decline of both species. This study examines these target species on part of Marine Corps Base Camp Pendleton, California (approximately 41, 118 hectares in area). The purpose of this research is to delineate the local geography for each species and to demonstrate a geographic approach to avian conservation. This study defines the local geography as a combination of the landscape characteristics, specific habitat requirements, and the identification of core habitat areas for both species. Landscape characteristics refer to the composition and spatial configuration of the vegetation on the Base. Landscape characteristics have been obtained through landscape metric calculations. Specific habitat requirements refer to the habitat features that shape the spatial distribution of both species. Habitat requirements have been obtained through habitat suitability analysis and species distribution modeling. Core habitat areas reflect the landscape characteristics and the habitat features that sustain both avian populations. Lastly, core habitat areas have been identified via kernel density estimation and prioritized by a set of detailed criteria based on requirements for both species on the Base. This study provides information regarding habitat requirements of both species and overall landscape characteristics on the Base, which will aid in conservation and management of these species. On a broad scale, this research supports the regional conservation effort in southern California for the coastal cactus wren and the coastal California gnatcatcher.
el-based tracking of humans in action:

We present a vision system for the 3-0 modelbased tracking of unconstrained human movement. Using image sequences acquzred szmultaneously from multiple views, we recover the 3-0 body pose at each time instant without the use of markers. The poserecovery problem is formulated as a search problem and entails finding the pose parameters of a graphical human model whose synthesized appearance is most similar to the actual appearance of the real human in the multi-view images. The models used for this purpose are acquiredfrom the images. We use a decomposition approach and a best-first technique to search through the high dimensional pose parameter space. A robust variant of chamfer matching is used as a fast similarity measure between synthesized and real edge images. We present initial tracking results from a large new Humans-In-Action (HIA) database containing more than 2500 frames tn each of four orthogonal vzews. They contain subjects involved in a variety of activities, of various degrees of complexity, rangzng from the more simple one-person hand waving to the chailenging two-person close interaction in the Argentine Tango.
Identity and distribution of Croton hirtus L'Herit (Euphorbiaceae) - A fast naturalizing invasive species in Tamil Nadu

Croton hirtus L’Herit is a poorly known exotic species naturalizing in Tamil Nadu with faster rate. Critical analysis of this taxon with recently described Chrozophora baskarani from Sirumalai hills proved that both of them are identical. Hence, the later is merged with Croton hirtus. The present communication throws light on the identity and distribution of this little known alien species. © 2012 Elixir All rights reserved. ARTICLE INF O Artic le h istory: Received: 17 July 2012; Received in revised form: 5 September 2012; Accepted: 14 September 2012;
Evolution of overland flow connectivity in bare agricultural plots

Soil surface roughness not only delays overland flow generation but also strongly affects the spatial distribution and concentration of overland flow. Previous studies generally aimed at predicting the delay in overland flow generation by means of a single parameter characterizing soil roughness. However, little work has been done to find a link between soil roughness and overland flow dynamics. This is made difficult because soil roughness and hence overland flow characteristics evolve differently depending on whether diffuse or concentrated erosion dominates. The present study examined whether the concept of connectivity can be used to link roughness characteristics to overland flow dynamics. For this purpose, soil roughness of three 30‐m2 tilled plots exposed to natural rainfall was monitored for two years. Soil micro‐topography was characterized by means of photogrammetry on a monthly basis. Soil roughness was characterized by the variogram, the surface stream network was characterized by network‐based indices and overland flow connectivity was characterized by Relative Surface Connection function (RSCf) functional connectivity indicator. Overland flow hydrographs were generated by means of a physically‐based overland flow model based on 1‐cm resolution digital elevation models. The development of eroded flow paths at the soil surface not only reduced the delay in overland flow generation but also resulted in a higher continuity of high flow velocity paths, an increase in erosive energy and a higher rate of increase of the overland flow hydrograph. Overland flow dynamics were found to be highly correlated to the RSCf characteristic points. By providing information regarding overland flow dynamics, the RSCf may thus serve as a quantitative link between soil roughness and overland flow generation in order to improve the overland flow hydrograph prediction. Copyright © 2016 John Wiley & Sons, Ltd.
The Aroma,Health Function and Utilization of Durian

Durian is known as"the king of tropical fruits",it is very rich in nutrients,especially abundant in minerals and vitamins,so it is a kind of promising nutritional food. This paper overviews the source of the durian's aroma,nutritional value,health functions and the actuality of the durian utilization. The development and utilization prospects also be put forward.
Blind separation of convolutive mixtures of cyclostationary signals

An adaptive blind source separation algorithm for the separation of convolutive mixtures of cyclostationary signals is proposed. The algorithm is derived by applying natural gradient iterative learning to a novel cost function which is defined according to the wide sense cyclostationarity of signals and can be deemed as a new member of the family of natural gradient algorithms for convolutive mixtures. A method based on estimating the cycle frequencies required for practical implementation of the proposed algorithm is presented. The efficiency of the algorithm is supported by simulations, which show that the proposed algorithm has improved performance for the separation of convolved cyclostationary signals in terms of convergence speed and waveform similarity measurement, as compared to the conventional natural gradient algorithm for convolutive mixtures. Copyright © 2004 John Wiley & Sons, Ltd.
Toward a New Paradigm of the Fisheries Management

Fisheries management has been carried out on the assumption that a fish population is in equilibrium with the fishing effort under the average environmental conditions and hence there must be a maximum sustainable yield (MSY). However, since the simultaneous rise and fall of the interdecadal and global scale of sardine populations was pointed out in the early 1980s, many other similar events of long-term changes in marine populations have been emerging, which is called regime shift. On the other hand, abundant evidence for the regime shift of climate-ocean systems has been obtained recently, which is suggested as the driving force causing the fluctuations in marine organisms. Very recently, it has become clear that even groundfish and tunas often show a tremendous increase in spite of the strong exploitation. These facts strongly show that there are no steady conditions in the oceans and the MSY is nothing but an imaginary criterion. A new paradigm of the fisheries management must be sought on the basis of the regime shift theory.
Glacial stratigraphy of East and Central Jutland

Glaciostratigraphic investigations at one key locality (Haldum), 9 major and about 160 minor localities in East and Central Jutland, Denmark, together with laboratory work, have led to the establishment of a stratigraphy consisting of 10 till units, usually separated by meltwater deposits. The stratigraphy is in some degree supported by thermoluminescence datings. The complete sequence includes one till unit with associated meltwater deposits of Menapian age, three till units with intercalated meltwater deposits of Elsterian age, marine sediments deposited during the Holsteininan, and three till units with intercalated of Elsterian age, marine sediments deposited during the Holsteinian, and three till units with intercalated glaciofluvial sedimants of Saalian age. Eemian deposits are present above this level, and the whole sequence is capped by till and meltwater deposits related to three glacial advances during the Weichselian.
Landscape of Paradoxes The Norwegian Climate and Forest Initiative

In the course of a few years, 2007-2010, the protection of rainforest has become one of the most interesting and important elements in Norwegian development policy. This swift evolution of importance and the huge dimensions of the projects call for some questions. How did the rainforest suddenly appear as a crucial and important part of Norwegian development aid, as well as the relationship between Norway and the global south? What has actually happened and what sort of dynamics is unfolding itself in the process of implementing the Norwegian Climate and Forest Initiative? Why did the rainforest appear as an attractive idea for Norway and other actors? And are there some elements in this Norwegian narrative about climate and rainforest that are neglected? The principal idea in this thesis is that through a deeper understanding of this process, will deeper and more general features of Norwegian climate and development policies be visible. The research is concentrated on interviews with Norwegian actors. How they think, act and experience the initative is a central element for the thesis.
Automatic classification of iconic images based on a multimodal model. An interdisciplinary project

The term “iconic image” refers here to images produced to create privileged associations between a particular visual representation and a referent. They are highly recognizable for media users and typically induce negative or positive emotions that have an impact on viewers’ attitudes and actions. In our work we focus on iconic images in the topical area of climate change. Previous research (see, for example, O`Neill & Nocholson-Cole, 2009) has identified recurring iconic representations such as the polar bear on a drifting ice floe (for the problem) or wind turbines in an untouched landscape surrounded by a clear sky (for possible solutions).
Geostatical Modelling For Ground Water Pollution in Salem by Using Gis

Ground waters are the major resources to meet out the entire requirements. Pollution of air, water and land has an effect on the quality of the ground waters. The chemical characteristics of groundwater in Salem taluk of Salem district have been studied using Geostatistical modeling to evaluate the suitability of water for irrigation and domestic uses. The 32 water samples from PWD wells taken during the years 1999 to 2009 for post monsson and pre monsoon were tested for various chemical parameters like pH and TDS . The Geostatistical analyst of mean, mode, standard deviation, cluster & simple to study the spatial pattern of contamination movement for the years 1999 to 2009. Trend analysis was performed to identify trends in the input dataset. The concentrations of physical and chemical constituents in the water samples were compared with the World Health Organization (WHO) standard to know the suitability of water for drinking.