Miracle-dz/UniFAR-FTUs huggingface dataset:
The Addition of 0.2 mg Subarachnoid Morphine to Hyperbaric Bupivacaine for Cesarean Delivery: A Prospective Study of 856 Cases

In an effort to determine the incidence of respiratory depression and other side effects of subarachnoid morphine, we conducted the following prospective study in a large number (856) of young female patients undergoing cesarean delivery in one hospital. During the period from July 1987 to January 1989, patients receiving subarachnoid hyperbaric bupivacaine combined with 0.2 mg preservative-free morphine were included. They were continuously monitored for 24 hours using a pulse oximeter. For 24 hours, the vital signs, including respiratory rate every hour, and the side effects, including pruritus, nausea, and vomiting, were recorded. The need for analgesia and the total dose of opioids during the first 24 hours were documented. Our results showed that respiratory depression (SaO2 ≤ 85% and/or respiratory rate ten breaths per minute or less) occurred in eight patients, all of whom were markedly obese. Fifty-eight percent of the patients did not require analgesics for 24 hours. In those requiring an added opioid, the dose was (9.1 ± 0.5 mg morphine, mean ± SEM). Eighty-five percent of the patients were satisfied with the postoperative analgesia. Six percent were dissatisfied due to the side effects, i.e., pruritus, nausea and/or vomiting. Nine percent were dissatisfied with the pulse oximeter because it caused false alarms and limited their mobility.
Multimedia Annotation System for Intelligent Search

In this paper we present an overview of the intelligent multimedia annotation and search system MetaOn. The core objective is to construct and integrate semantically rich metadata, extracted from documents and images, to facilitate intelligent search and analysis. The proposed MetaOn framework involves, ontology-based information extraction and data mining, semi-automatic construction of domain specific ontologies, content-based image indexing and retrieval, and metadata management. The Hellenic history has been chosen as a challenging application case study.
Independently-Controlled-Gate FinFET Schmitt Trigger Sub-Threshold SRAMs

In this work, we propose three novel independently-controlled-gate Schmitt Trigger (IG_ST) FinFET SRAM cells for sub-threshold operation. The proposed IG_ST 8 T SRAM cells utilize split-gate FinFET devices with the front-gate devices serving as the stacking devices, and the back-gate devices serving as the intermediate node conditioning devices to provide built-in feedback mechanism for Schmitt Trigger action, thus reducing the cell transistor count/area and achieving improved static noise margin (SNM) and better tolerance to process variation and random variations. 3-D mixed-mode simulations are used to evaluate the Read static noise margin (RSNM), Write static noise margin (WSNM), hold static noise margin (HSNM), and Standby leakage of proposed cells, and results are compared with the standard 6 T cells and previously reported 10 T Schmitt Trigger sub-threshold SRAM cells. Compared with the conventional tied-gate 6 T cell, the proposed IG_ST SRAM cells demonstrate 1.81X and 2.11X higher nominal RSNM at VCS= 0.4 and 0.15 V, respectively. The cell layouts and areas are assessed based on scaled ground rules from 32 nm node, and the density advantage over previously reported 10 T Schmitt Trigger sub-threshold SRAM cells are illustrated. The cell AC performance (Read access time, Write time, and Read access time versus the number of cells per bit-line considering worst-case data pattern for bit-line leakage) and temperature dependence are evaluated, and shown to be adequate for the intended sub-threshold applications. Compared with previously reported 10 T Schmitt Trigger sub-threshold SRAM cells, the proposed cells exhibit comparable or better RSNM, higher density, and lower Standby leakage current. 3-D mixed-mode Monte Carlo simulations are performed to investigate the impacts of process variations (Leff, EOT, Wfin, and Hfin) and random variations (Gate LER and Fin LER) on RSNM, WSNM, and HSNM. Our results indicate that even at the worst corner, two of the proposed cells can provide sufficient margin of μ/σ ratio.
Changes in Usage of an Indoor Public Space: Analysis of One Year of Person Tracking

Knowledge about space usage from variables such as density and walking speed could support a variety of service applications. However, there is not much knowledge on how the usage of space changes during extended periods of time and what affects the changes. We have installed a person tracking system in a large area of a shopping center and collected pedestrian data over a year. In this paper, we analyze the collected data to find the changes in pedestrian density and speed, percentage of children, and pedestrian trajectories. The changes from day to day, as well as during the day are examined, and a number of factors that affect them are identified. This is in turn used in the prediction of the state of the space using a Gaussian process model.
Immunization against serogroup B meningococci. Opsonin response in vaccinees as measured by chemiluminescence.

One hundred and thirteen healthy volunteers were immunized twice (six weeks apart) with four different doses (12.5, 25, 50 and 100 micrograms, measured as protein content) of an outer membrane vesicle vaccine from a serogroup B meningococcal strain (44/76, B:15:P1.16) complexed to serogroup C meningococcal polysaccharide and/or Al(OH)3 i.e. 12 different vaccines. Serum opsonic activity against the serogroup B strain was measured using a chemiluminescence method. A significant rise in serum opsonic activity was demonstrated in 84 volunteers (74%) six weeks after the first injection and in 97 (86%) six weeks after the second. All vaccinees with low preimmunization values (less than 25 mVs) experienced a significant increase in opsonic activity. A dose-related response was most evident for the vaccines containing adjuvant, and these vaccines were associated with a maximum response six weeks after the second injection, while the vaccines without Al(OH)3 induced a peak response six weeks after the first injection. The postimmunization opsonic activity was similar to that found in convalescent sera, indicating that the vaccines may protect against serogroup B meningococcal disease.
Implementation and analysis of nonblocking collective operations on SCI networks

Nonblocking collective communication operations are currently being considered for inclusion into the MPI standard and are an area of active research. The benefits of such operations are documented by several recent publications, but so far, research concentrates on InfiniBand clusters. This paper describes an implementation of nonblocking collectives for clusters with the Scalable Coherent Interface (SCI) interconnect. We use synthetic and application kernel benchmarks to show that with nonblocking functions for collective communication performance enhancements can be achieved on SCI systems. Our results indicate that for the implementation of these nonblocking collectives data transfer methods other than those usually used for the blocking version should be considered to realize such improvements.
A Sytematic Piggybacking Design for Minimum Storage Regenerating Codes

Piggybacking is an efficient method to decrease the repair bandwidth of Maximum Distance Separable (MDS) codes or Minimum Storage Regenerating (MSR) codes. In this paper, for minimizing the repair bandwidth of parity nodes of the known MSR codes with high rate, which is usually the whole size of the original data, i.e., the maximal, a new systematic piggybacking design is proposed through an in-depth analysis of the design of piggybacking. As a result, new MSR codes are obtained with almost optimal repair bandwidth of parity nodes while retaining the optimal repair bandwidth of systematic nodes. Furthermore, MSR codes with balanced download during node repair process are presented based on the new piggybacking design.
Adaptive SVC for nonlinear channel equalization

We propose a new scheme for adapting support vector classifiers (SVC) in non-stationary environments. This adaptive SVC (ASVC) relies in interpreting the margin and penalty factor of the SVC as a relevance measure over the samples and on an iterative re-weighted least square (IRWLS) approach for optimizing it, which resembles the RLS filtering for adaptive equalization. The ASVC capabilities are shown by means of computer experiments.
Alterations in white matter micro-integrity of the superior longitudinal fasciculus and anterior thalamic radiation of young adult patients with depression

Background This study surveyed the characteristics of white matter (WM) micro-integrity in patients who were diagnosed with major depressive disorder (MDD) without co-morbidities. Method A total of 44 patients with MDD and 27 normal controls were enrolled in our study. Diffusion tensor imaging images of patients and controls were pre-processed and analysed to estimate differences in WM micro-integrity between patients and controls by performing comparisons of the values obtained from fractional anisotropy (FA). FA outputs of patients and controls were compared by a non-parametric permutation-based method with global brain volume, age and gender as covariates. In addition, the between-group differences of radial diffusivity (RD) and axial diffusivity (AD) were assessed to explain the alterations in FA values. Correlations between clinical variables (such as depression severity, anxiety severity, illness duration) and FA values were also estimated in each group and across both groups. Results The patients with MDD had significantly lower FA values than the controls, for the left superior longitudinal fasciculus (SLF) and the right anterior thalamic radiation (ATR). The reductions in FA values occurred in combination with elevated RD values in the bilateral SLF and decreased AD values in the bilateral ATR. FA values were negatively correlated with depression severity in the SLF and with illness duration in the right SLF and ATR. Conclusions MDD patients had significant alterations in the WM micro-integrity of the left SLF and the right ATR.
Fusion Approaches of Feature Selection Algorithms for Classification Problems

The large amount of data produced by applications in recent years needs to be analyzed in order to extract valuable underlying information from them. Machine learning algorithms are useful tools to perform this task, but usually it is necessary to reduce complexity of data using feature selection algorithms. As usual, many algorithms were proposed to reduce dimension of data, each one with its own advantages and drawbacks. The variety of algorithms leads to either choose one algorithm or to combine several methods. The last option usually brings better performance. Based on this, this paper proposes an analysis of two distinct approaches of combining feature selection algorithms (decision and data fusion). This analysis was made in supervised classification context using real and synthetic datasets. Results showed that one proposed approach (decision fusion) has achieved the best results for the majority of datasets.
Cell-SWat: modeling and scheduling wavefront computations on the cell broadband engine

This paper presents and evaluates a model and a methodology for implementing parallel wavefront algorithms on the Cell Broadband Engine. Wavefront algorithms are vital in several application areas such as computational biology, particle physics, and systems of linear equations. The model uses blocked data decomposition with pipelined execution of blocks across the synergistic processing elements (SPEs) of the Cell. To evaluate the model, we implement the Smith-Waterman sequence alignment algorithm as a wavefront algorithm and present key optimization techniques that complement the vector processing capabilities of the SPE. Our results show perfect linear speedup for up to 16 SPEs on the QS20 dual-Cell blades, and our model shows that our implementation is highly scalable for more cores, if available. Furthermore, the accuracy of our model is within 3% of the measured values on average. Lastly, we also test our model in a throughput-oriented experimental setting, where we couple the model with scheduling techniques that exploit parallelism across the simultaneous execution of multiple sequence alignments. Using our model, we improved the throughput of realistic multisequence alignment workloads by up to 8% compared to FCFS (first-come, first-serve), by trading off parallelism within alignments with parallelism across alignments.
Robot Control for Task Performance and Enhanced Safety under Impact

A control law combining motion performance quality and low stiffness reaction to unintended contacts is proposed in this work. It achieves prescribed performance evolution of the position error under disturbances up to a level related to model uncertainties and responds compliantly and with low stiffness to significant disturbances arising from impact forces. The controller employs a velocity reference signal in a model-based control law utilizing a non-linear time-dependent term, which embeds prescribed performance specifications and vanishes in case of significant disturbances. Simulation results with a three degrees of freedom (DOF) robot illustrate the motion performance and self-regulation of the output stiffness achieved by this controller under an external force, and highlights its advantages with respect to constant and switched impedance schemes. Experiments with a KUKA LWR4+ demonstrate its performance under impact with a human while following a desired trajectory.
A Sketch Recognition System for Recognizing Free-Hand Course of Action Diagrams

Military course-of-action (COA) diagrams are used to depict battle scenarios and include thousands of unique symbols, complete with additional textual and designator modifiers. We have created a real-time sketch recognition interface that recognizes 485 freely-drawn military course-of-action sym- bols. When the variations (not allowable by other systems) are factored in, our system is several orders of magnitude larger than the next biggest system. On 5,900 hand-drawn symbols, the system achieves an accuracy of 90% when con- sidering the top 3 interpretations and requiring every aspect of the shape (variations, text, symbol, location, orientation) to be correct.
Improved Efficiency of TiO2 Nanotube Arrays with TiCl4 Treatment in Dye-Sensitized Solar Cells

In this work, highly-ordered TiO2 nanotubes arrays were fabricated by two-step anodic oxidation method to serve as photoanodes for dye-sensitized solar cells. We investigated the effect of TiCl4 treatment on the microstructure and morphologies of TiO2 nanotubes arrays. It is found that the TiCl4 treatment can generally introduce 10-15 nm TiO2 nanoparticles into the TiO2 nanotube arrays. The photovoltaic performance of dye-sensitized solar cells is related to the concentration and treated-time of TiCl4 treatment. A power conversion efficiency of 7.63% was achieved for dye-sensitized solar cell with photoanode treated by 0.04 M TiCl4 for 60min. The improved power conversion efficiency can be attributed to the increased available surface for dye adsorption in photoanodes.
Preliminary Evaluation of the API 20NE and RapID NF Plus Systems for Rapid Identification of Burkholderia pseudomallei and B. mallei

ABSTRACT We evaluated the API 20NE and the RapID NF Plus systems with 58 Burkholderia pseudomallei and 23 B. mallei strains for identification of these agents, but neither was reliable for confirmatory identification, with only 0 to 60% strains identified accurately. A greater diversity of strains in the system databases would be beneficial.
Photonic Papers and Inks: Color Writing with Colorless Materials

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
A new efficient algorithm to detect Current Transformer saturation

This paper presents an algorithm to precisely detect the saturation of Current Transformers (CTs). The algorithm is based on first difference of magnitudes of Lissajous Curve. These Lissajous curves are generated using secondary current signal and its first derivative. PSCAD was used to generate secondary current signals for various practical cases of fault currents and MATLAB was used to implement the proposed algorithm. The algorithm is tested for various cases of severe and mild CT saturation. Moreover, the effects of various factors, such as remnant magnetic flux density, noise and burden power factor are studied. Test results reflect that the proposed algorithm efficiently detect the start and end instants of CT Saturation for almost all cases.
Single cluster PHD SLAM: Application to autonomous underwater vehicles using stereo vision

This paper considers the application of feature-based simultaneous localisation and mapping (SLAM) using a random finite sets (RFS) framework for an autonomous underwater vehicle. SLAM allows for reduction in localisation error by tracking features which provide a fixed external reference. The SLAM problem is addressed here using a single-cluster probability hypothesis density (PHD) filter. The filter uses a particle approximation for the vehicle position with a conditional Gaussian mixture PHD for the feature map. Map features are selected as unique point features generated from a stereo camera on-board the vehicle. We demonstrate the improvement in localisation applying the algorithm to a dataset obtained in an indoor test tank.
Sanfilippo syndrome type D: identification of the first mutation in the N-acetylglucosamine-6-sulphatase gene

Mucopolysaccharidosis type IIID is the least common of the four subtypes of Sanfilippo syndrome. It is caused by a deficiency of N-acetylglucosamine-6-sulphatase, which is one of the enzymes involved in the catabolism of heparan sulphate. We present the clinical, biochemical, and, for the first time, the molecular diagnosis of a patient with Sanfilippo D disease. The patient was found to be homozygous for a single base pair deletion (c1169delA), which will cause a frameshift and premature termination of the protein. Accurate carrier detection is now available for other members of this consanguineous family.
On the Measurement of the Absorption Cross Section and Material Reflectivity in a Reverberation Chamber

In this paper, all losses in a reverberation chamber (RC) are represented by equivalent absorption cross sections (ACSs), both those due to the power dissipated and those due to the power lost through leakage. This representation enables us to define an absorption cross section of the RC, so that we can easily measure and compare the losses of different natures in an RC directly in terms of ACS. Additionally, this representation of the losses leads to equal measurements of the attendant ACS in relation to two different methods to represent the electromagnetic radiation in an RC suggested by Corona and Hill. As a specific applicative example, an effective method to measure the reflectivity of materials based only on ACS measurements is shown. Finally, its validity will be presented, applying the same principle of the reflectivity measurement to a nested reverberation chamber system.
Creep Rupture Life Prediction of Creep Resistant Steels

Allowable tensile stress at the elevated temperatures used for design of high temperature structural components is determined based on a longterm creep strength, such as 100,000 hours creep rupture strength. Aim of the Creep Data Sheet project conducted in National Research Institute for Metals and National Institute for Materials Science is to obtain longterm creep strength data of engineering creep resistant steels and alloys. A timetemperature parameter method is applied for creep rupture life prediction, and several parameters are proposed. A wide variety of equations are examined to describe and to predict a long term creep deformation behavior. Creep strength of ferritic creep resistant steels after very longterm exposure at the elevated temperatures is controlled by an inherent creep strength that is almost the same independent of chemical composition, heat treatment, initial microstructure and shortterm creep strength. A region splitting analysis method was proposed as accurate life prediction method of ferritic creep resistant steels by consideration of 50 of 0.2 offset yield stress. Allowable tensile stress of some ferritic steels was revised according to reevaluation of longterm creep strength by means of region splitting analysis method.
Residual Stress Measurement in a Stainless Steel Clad Ferritic Plate Using the Contour Method

In pressure vessels stainless steel weld-overlay cladding is a widely used technique to provide a protective barrier between the corrosive environment and the ferritic low alloy base metal. While the cladding layers enhance corrosion resistance, the induced residual stresses due to the deposition of weld layers are of major concern. It is of paramount importance to understand how residual stresses interact with service loading when the vessel is pressurized. Therefore, knowledge of the initial residual stresses due to cladding is an essential input for structural integrity assessment of pressure vessels. In the present paper the Contour Method was conducted to measure residual stresses in an austenitic steel cladded plate that was fabricated from a ferritic steel base plate with three layers of austenitic stainless steel weld metal cladding deposited on the top surface. The Contour Method was chosen for various reasons. First, it provides a full 2D variation of residual stresses over the plane of interest. Second, it is not limited by the thickness of components or microstructural variations and finally it should potentially capture the variation of residual stresses in each individual weld beads and due to the possible phase transformation in the ferritic base material. The map of longitudinal residual stresses was measured by sectioning the test component along a transverse plane at mid-length. The measured residual stresses were in good agreement with published results in the open literature.