Miracle-dz/UniFAR-FTUs huggingface dataset:
Continuous veno-venous hemofiltration with regional citrate anticoagulation: A four-year single-center experience

Background Hemofiltration protocols using a citrate-buffered replacement solution offer the advantage of regional anticoagulation and a buffer effect. The role played by such fluids in clinical practice is not yet well established. The risk of electrolytic disorders, acid-base imbalance, or citrate accumulation should be clarified. We report on a renal therapy protocol based on a citrate isonatremic replacement solution. Method We considered all patients needing renal replacement therapy admitted to our cardiovascular intensive care unit between January 2003 and June 2007. A citrate-buffered fluid was delivered in pre-dilution mode to a post-filter ionized calcium target ≤0.25 mmol/L. Extracorporeal blood flow was set at a constant of 140±10 ml/min. Blood calcemia was maintained by a 5% calcium-chloride solution infused into the patient. We recorded the patients' acid-base variables, ionized calcium, daily electrolytes, albumin, urea and filter life-span. Results We observed 101 consecutive patients out of 2,523; incidence 4%, overall mortality was 57% at ICU discharge. Mean replacement rate was 2,554±475 ml/h corresponding to 34±5 ml/kg/h. Mean patient ionized calcium level was 1.07±0.04 mmo/L, maintained by 13±2 ml/h of infused calcium-chloride. All other electrolytes remained in the normal range. The Stewart biophysical approach confirmed a strong anion gap of 3.1± 3 meq/L. Acid-base balance showed a buffer effect. Mean filter life-span was 52±11 h. Conclusion Renal replacement therapy based on citrate-buffered fluid may be useful in clinical practice. This methodology presented an adequate metabolic control and allowed regional anticoagulation. A sufficient calcium supply was mandatory to avoid hypocalcemia. The small strong ion gap suggested a modest citrate accumulation.
A Rendering Method of Laser Scanned Point Clouds of Large Scale Environments by Adaptive Graphic Primitive Selection

In this paper, a rendering method of the laser scanned point clouds of large scale environments is proposed for supporting an easy and intuitive understanding of the scanned environments. In this method, an adaptive primitives selection model and hierarchical point representation are used in the rendering of the scanned environment. Local geometry of the objects are estimated by principal component analysis, and the graphic primitives for points are adaptively created for effective rendering. View-dependent LOD using point hierarchy and an adaptive primitives selection model are also achieved for efficient rendering. Some rendering results for point clouds acquired from different scanning systems are shown and compared with other methods.
Analysis and simulation of a pseudonoise synchronization system

Summarizes an investigation of a pseudo-noise (PN) synchronization system that uses an auxiliary matched filter channel to speed acquisition time. The system of interest presents a combined matched filter/serial search rapid acquisition strategy in a direct sequence, multiple-access environment as described by Smirnov (1973). Attention is focused on initial acquisition. The measure of performance is the mean acquisition time and is determined analytically. A simulation model of the synchronisation system using the Block Oriented Systems Simulator (BOSS) is developed. The matched filter channel is tested against the analytic expectations for false alarm performance via the simulation model. <<ETX>>
A Tabular Approach Memory-Based Learning

One type of machine learning, called memory-based learning, which is characterized by memorization of observed events, has been investigated. Given an input vector, some data are retrieved from a memory and fed to an output computational function. Existing memory-based schemes were usually introduced, discussed, and treated as different, unrelated techniques. In this paper, we unify them into one category. A Memory-Based Learning Structure (MBLS) receives training samples and stores data at memory locations associated with selected (fired) vertices, which are assigned points in the input domain. Memory-based learning that uses a structured vertex distribution is categorized as a tabular approach. One merit of a tabular MBLS is that the size of allocated memory can be pre-determined and much smaller than the number of available observations. Another advantage is that the training process filters out noise automatically and makes the MBLS less sensitive. Since data are stored in memory directly addressable by queries, data retrieving is fast and memorization of vertex locations is unnecessary.
A continuous object tracking system with stationary and moving camera modes

Automatic detection and tracking of objects get more important with the increasing number of surveillance cameras and mobile platforms having cameras. Tracking systems are either designed with stationary camera or designed to work in moving camera. When the camera is stationary, correspondence based tracking with background subtraction has a number of benefits such as enabling automatic detection of new objects in the scene and better tracking accuracy. On the other hand, mean shift is a histogram-based tracking method which is suitable for tracking objects under unconstrained scenarios like moving camera. However, with mean shift, the objects to be tracked cannot be detected automatically, only existing or manually selected objects can be tracked. In this paper, we propose a dual-mode system which combines the advantages of correspondence based tracking and mean shift tracking. A reliability measure based on background update rate is calculated for each frame. Under normal operating conditions, when the background estimation is working reliably, correspondence based tracking is used. When the reliability of background estimation becomes low, due to moving camera, the system automatically switches to mean shift tracking until the reliability of background information increases again. The results show that the system can detect new objects and track them reliably using background subtraction. Even though the background subtraction based systems detect high number of false objects when the camera starts moving, the proposed system hands over the tracked objects to mean shift tracker and avoids detection of false objects and enables uninterrupted tracking.
Current Treatment Modalities for Spinal Metastases Secondary to Thyroid Carcinoma

Background: The spine is the most common site of bone metastases due to thyroid cancer, which develop in more than 3% of patients with well-differentiated thyroid cancer. Nearly half of patients with bone metastases from thyroid cancer develop vertebral metastases. Spinal metastases are associated with significantly reduced quality of life due to pain, neurological deficit, and increased mortality. Summary: Treatment options for patients with thyroid spinal metastases include radioiodine therapy, pharmacologic therapy, and surgical treatments, with recent advances in radiosurgery and minimally invasive spinal surgery as well. Therapeutic interventions require a multidisciplinary approach and aim to control pain, preserve or improve neurologic function, optimize local tumor control, and improve quality of life. We have proposed a three-tiered approach to the management and practical algorithms for patients with spinal metastases from thyroid carcinoma. Conclusions: The introduction of novel and improved techniques for the treatment of spinal metastases has created the opportunity to significantly improve control of metastatic tumor growth and the quality of life for the patients with spinal metastases from thyroid cancer. In order for these options to be effectively used, a multidisciplinary approach must be applied in the management of the patients with thyroid spinal metastases.
Optimal dosage and method of delivering chlorhexidine solutions for the inhibition of dental plaque

The study evaluated the effect of increasing the amount of rinse solution upon the concentration of chlorhexidine needed to control plaque formation, compared the application of chlorhexidine with an oral irrigator to normal rinsing, and examined the amount of staining caused by the various dosages. Forty-four dental students were divided into 7 groups which each used different volumes (700, 400, 200, applied with an oral irrigator and 200, 100, 50 and 20 ml used with normal rinsing). On a rotational basis, the individuals tested all concentrations (0, .01, .025, .05, .075, .1, .15 and .2 per cent) once during each 9 day test period of suspended oral hygiene. The plaqoe accumulation was. assessed at the end of each trial period according to the criteria of the Plaque Index system. Each lest period was separated by 5 days of normal oral hygiene. The study has shown that if larger volumes are used much lower concentrations of chlorhexidine are necessary, plaque inhibition in the posterior portion of the oral cavity is better with an irrigator than with normal rinsing and that staining is less with large volumes of dilute concentrations than with small volumes of stronger concentrations.
Detection of human faces in visual scenes

This paper presents a neural network based high-speed system to detect faces in any visual scene. This paper proposes a high-speed and accurate method to search for human faces using a "Knowledge" pruned small sized neural network, and skin colour detection using threshold method with confirmation by a skin colour detection neural network (TSCD). This project is made up of two parts: the face detecting system (FDS) and the TSCD. The FDS that is used to detect faces is made up of a knowledge pruned face locator, a down sampler, and a merger. The TSCD does a high-speed reduction of the face search area to skin regions (and then to face candidates). The TSCD assumes, correctly, that a human face (without wearing any mask or painting) in a visual scene can only be found in a skin colour region. However, all skin regions containing faces must be found otherwise the overall system accuracy goes down.
Improved Phase Synthesis for Parametric Stereo Audio Coding

Parametric stereo(PS) audio coding is a specific version of spatial audio coding. In this paper, the problem due to the conventional synthesis of phase differences. In the conventional upmix matrix, phase differences are synthesized not only on downmix signal but also ambient signal, which violates the assumption that the ambient signals are anti-phased. Deterioration due to the phase synthesis is analyzed, especially, for low interchannel correlation. To solve this problem, new upmix matrix is proposed, which synthesizes phase differences only on downmix signal. The performance of the proposed upmix matrix is verified by the subjective listening tests
Robust pole assignment in PSS design

The design of robust power system stabilizers (PSS) for a power system represented by a single generator tie line (SGTL) power system is described in this paper. Unlike the conventional PSS design, the proposed method develops a more realistic approach by taking into account various uncertainties involved in power system operation and modelling such as disturbances, modelling errors and changes in the system parameters. This approach provides a technique for determining the PSS transfer function and the washout at the same time. A new robust control technique based on the Nevanlinna-Pick theory is applied which shifts the unstable mechanical poles to the desired locations. The stability limit and the relative stability of the system are also obtained. It is shown that the PSS adequately stabilizes the power system in a wide region of operating points. <<ETX>>
Estimating fiber directions from local activation mapping: a model study

A computer model of activation with mapping was used to reconstruct local fiber directions in tissue with a nonuniform fiber field. Local activations from a point stimulus were recorded by surrounding electrodes in a small electrode plaque in the tissue domain. Through interpolation of the elliptically-shaped isochrones, fiber angles were determined for tissue under the electrode plaque. By estimation of fiber direction with activation mapping, local tissue properties can be evaluated and included in propagation models in an attempt to validate their results.
Clinical Value in IVF: Cycle Characteristics Associated With Gonadotropin Dose Change in IVF Patients Using Low Responder Protocols

Objective: To identify patient and cycle characteristics that influence the frequency of monitoring events and gonadotropin dose change during follicular monitoring of an IVF cycle using a low responder protocol. Design: Retrospective cohort study Settings: Academic medical center Patients: Infertile women undergoing IVF using a low responder protocol (GnRH agonist Flare or GnRH antagonist) Intervention: Retrospective chart review Main Outcome Measures: Gonadotropin dose change, initiation of GnRH antagonist, and administration of hCG Results: Gonadotropin dose change in low responders rarely occurs in the first five days of gonadotropin stimulation in an IVF cycle. There were no baseline patient characteristics associated with change in medication management. After three days of gonadotropin stimulation, serum estradiol level >300 pg/ml predicted any change in medication management for the next three days with 100% and 92% sensitivity for the Flare and Antagonist protocols, respectively. Conclusion: For patients receiving a low responder protocol, there are early cycle characteristics associated with change in gonadotropin dose during the cycle. Monitoring intensity can likely be modified according to these criteria to reduce the total number of interventions.
In terms of nets : system design with Petri nets and process algebra

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Comparison of operative notes with real‐time observation of adhesiolysis‐related complications during surgery

The operative report contains critical information for patient care, serves an educational purpose and is an important source for surgical research. Recent studies demonstrate that operative reports are unstructured and lack vital components. The accuracy of the operative notes has never been assessed. The aim of this study was to analyse the accuracy of operative reports by comparing notes with intraoperative observer‐derived findings regarding adhesions and adhesiolysis‐related complications.
From the Centers for Disease Control and Prevention

these, 304 (73%) met the probable case definition, and 115 (27%) were considered possible monkeypox cases. Most (85%) cases occurred in persons aged ,16 years. Nineteen persons had active disease. Preliminary testing of lesional material identified MPV in nine cases and varicella zoster virus in four. Of the 344 cases in the Katako-Kombe Health Zone, five persons died (case fatality ratio: 1.5%) within 3 weeks of rash onset; decedents ranged in age from 4 to 8 years. All 339 surviving case-patients were examined and interviewed. Of these, 183 (54%) had been confined to bed rest for 3-10 days. Twenty (6%) casepatients had scar evidence of vaccinia vaccination, and 19 reported a past history of chickenpox. Other reported manifestations included cervical lymphadenopathy (69%), sore throat (63%), mouth ulcers (50%), cough (41%), and di
A New Implementation for Ontology Mapping Based Enterprise Semantic Interoperation

In the interoperation among enterprises in Business, there is a big problem that different data models and information description are used in different enterprises’ systems which blocking the ambient Semantic collaboration. Ontology is an important tool to overcome syntax and semantic misunderstanding. Our goal is to provide a user-friendly environment supporting syntax and neutral format data model for business information. In this paper, a unified description of data model which mapping from logical data of enterprise’s information system is developed to solve the gap in interoperation. It provides the methods to realize the mapping among serious types of data or information. Firstly, database and other types of information are transformed into neutral format which described by OWL. Secondly, the neutral format can be mapped into the semantic entities and semantic linking through the process of extraction and annotation and added into ontology and been described in a standard method which makes the collaboration could be understood. Lastly, a prototype is described and realized as an integration platform.
LBLP: link-clustering-based approach for overlapping community detection

Recently, complex networks have attracted considerable research attention. Community detection is an important problem in the field of complex networks and is useful in a variety of applications such as information propagation, link prediction, recommendation, and marketing. In this study, we focus on discovering overlapping community structures by using link partitions. We propose a Latent Dirichlet Allocation (LDA)-Based Link Partition (LBLP) method, which can find communities with an adjustable range of overlapping. This method employs the LDA model to detect link partitions, which can calculate the community belonging factor for each link. On the basis of this factor, link partitions with bridge links can be found efficiently. We validate the effectiveness of the proposed solution by using both real-world and synthesized networks. The experimental results demonstrate that the approach can find a meaningful and relevant link community structure.
Review Article: An Overview of Image Compression Techniques

To store an image, large quantities of digital data are required. Due to limited bandwidth, image must be compressed before transmission. However, image compression reduces the image fidelity, when an image is compressed at low bitrates. Hence, the compressed images suffer from block artifacts. To meet this, several compression schemes have been developed in image processing. This study presents an overview of compression techniques for image applications. It covers the lossy and lossless compression algorithm used for still image and other applications. The focus of this article is based on the overview of VLSI DCT architecture for image compression. Further, this new approach may provide better results.
SWING: A System for Visualizing Web Graphs

A Web graph refers to the graph that is used to represent relationships between Web pages in cyberspace, where a node represents a URL and an edge indicates a link between two URLs. A Web graph is a very huge graph as growing with cyberspace. This paper presents a pipeline for extracting web information from cyberspace to a web graph and layout techniques for making the web graph more readable. As the size of computer screen is limited, only a small part of the Web graph can be displayed. Several layout techniques should be adapted and combined effectively for web graph visualization. The visualization process incorporates graph drawing algorithms, layout adjustment methods, as well as filtering and clustering methods in order to decide which part of the Web graph should be displayed and how to display it based on the user’s focus in navigation.
Optimisation of pesticide crystal protein production from Bacillus thuringiensis employing artificial intelligence techniques

Mixtures containing spores of the bacterium Bacillus thuringiensis and its δ-endotoxins – referred to as pesticide crystal protein (PCP) – are very well known to be effective against several insects and pests. In this work, three factors, namely medium pH, inoculum size and sugar concentration from molasses, that were found to be highly significant for the production of PCP were optimised of their levels using a combination of artificial intelligence techniques – artificial neural network (ANN) and genetic algorithm (GA). Earlier results, expressed in terms of the culture optical density at 600 nm wavelength (OD600), were first modelled by ANN based on back propagation algorithm, which was highly accurate in predicting the system with coefficient of determination (R²) value greater than 0.99 in both training and validation of the network. Optimum values of 3.65 for pH, 6.009% for inoculum size and 1.61 g/L for sugar concentration were obtained using GA based on the developed ANN model. At these optimised settings of the factors, a predicted maximum (OD600) value of 0.5764 was achieved, which was 9.17% more than the previously obtained maximum experimental value.
ENGLISH COGNATE OBJECT CONSTRUCTIONS AND THEIR TRANSITIVITY

This paper deals with the English cognate object constructions in the framework of cognitive grammar established by Langacker (1987, 1991). Based on the seminal analysis by Langacker, the analysis here not only accounts for the characteristics of the phenomena but also reveals that the cognate object's usual construal as an instance of the activity designated by the verb varies by virtue of modification. Moreover, it is
Elaboração de um glossário automático bilíngüe com base no modelo de classes de objetos

The aim of this study is to create a bilingual electronic glossary, which is based on corpora of cooking recipes either in Portuguese and French. Gaston Gross's model of object classes is the one in which this research is based on. Using the analysis of three dictionaries, a gap was found in terms of equivalence criteria, which could make them inefficient for the dictionary user. This problem of equivalence was what motivated this study. As a result, this glossary is expected to efficiently cover a larger range of the proposed equivalence as an electronic language tool.
An analysis/synthesis approach to real-time artificial reverberation

A general approach is proposed to the problem of realizing a recursive digital display network capable of simulating in real time the perceptively relevant characteristics of the reverberation decay in a room. The analysis/synthesis method presented makes it possible to imitate the late reverberation of a given room by optimizing some of the reverberant filter's parameters. The analysis phase is based on a time-frequency representation of the energy decay, computed from an impulse response measured in the room. The energy decay relief is proposed as a spectral development of the integrated energy decay curve introduced by Schroeder. Its three-dimensional representation allows perceptively relevant visual comparison of two room responses (measured or artificial) and accurate calculation of some widely used objective criteria of room acoustic quality. <<ETX>>
Robust adaptive output tracking for uncertain nonlinear systems

This paper introduces two robust adaptive output tracking control schemes for two types of uncertain nonlinear systems via exact feedback linearization with distinct relative degree and approximate feedback linearization with robust relative degree, respectively. By using these schemes, it is known that both boundedness of all the states and adaptive output tracking of the closed-loop systems are rendered.