Miracle-dz/UniFAR-FTUs huggingface dataset:
High frequency oscillation and airway pressure release ventilation in pediatric respiratory failure

Airway pressure release ventilation (APRV) and high frequency oscillatory ventilation (HFOV) are frequently used in acute lung injury (ALI) refractory to conventional ventilation. Our aim was to describe our experience with APRV and HFOV in refractory pediatric ALI, and to identify factors associated with survival.
Identification of a novel monocyte cell surface molecule involved in the generation of antigen‐induced proliferative responses

A monocyte molecule, identified by a monoclonal antibody (mAb) named 24, is involved in the antigen‐specific proliferation of T cells. Several types of antigen‐induced responses are blocked by mAb 24, but mitogen responses, even at low doses, are not. The 24 molecule is found on circulating monocytes and no other cell type. Normally only a proportion of monocytes express the 24 molecule but it can be induced rapidly on monocytes in culture, possibly from intracellular sources. The epitope is present on a heterodimer of 175 and 95 kDa which is similar to the leukocyte cell adhesion molecule (Leu‐CAM) family. These findings suggest that although the 24 molecule shows some functional and biochemical similarities with the Leu‐CAM family of molecules, it represents a novel structure primarily associated with mononuclear phagocytes.
The Role of the Energy Density in Pulsed Laser Deposition of Bioactive Glass Films

Effect of the energy density on the composition, morphology and deposition rate of the bioglass thin films deposited by pulsed laser was studied by energy dispersive spectroscopy (EDS), scanning electron microscopy (SEM), X-ray diffraction (XRD) and crystal lattice monitor. There is slight compositional difference between the film and the target at lower energy density. Morphology of the films is compact with the particles on the surface of them. Structure of the films is amorphous glass and the size of the particles increases with the energy density. Deposition rate increases with the energy density and the energy density threshold of the film growth is about 2.5J/cm2.
Chinese definitional question answering based on soft pattern and ontology

A typical definitional question answering system extracts definition sentences from multiple documents and summarizes the sentences into definitions. In this paper, a new approach is proposed to extract definitional sentences from Web corpus, which is based on soft pattern and ontology. Soft pattern is used to judge whether sentences are definitional with syntactic analysis and ontology can deduce the definitional one with semantic information. The experimental result validates the effectiveness of this method, and the precision reaches 32.7% and is 5.2% higher than the method only based on soft pattern.
Experimental control of chaos in a periodically driven glow discharge.

The control of the chaotic state of ionization waves in the positive column of a periodically driven neon glow discharge is achieved by an active feedback technique based on the algorithm suggested by Ott, Grebogy, and Yorke [Phys. Rev. Lett. 64, 1196 (1990)]. Unstable periodic orbits of both low and high periodicity could be stabilized by small, time-dependent variations of the modulation amplitude.
Depletion efficiency and recovery of trace markers from a multiparameter immunodepletion column

The selective removal of high‐abundance proteins is considered to be an important prerequisite for a sensitive proteome analysis in plasma. In this study, we examined the “multiaffinity removal system”, an immunoaffinity depletion column targeted against six plasma proteins. As determined by sandwich ELISA, the depletion rate for each target protein is >99% over 200 cycles of regeneration. Our data give evidence that two column antibodies are slowly inactivated during the repeated use of the column; however, the individual depletion rate meets the specification of the manufacturer. To estimate a potential loss of analytes after the immunodepletion, we performed spiking/recovery experiments with a selection of tumor markers at concentrations in the lower to medium ng/mL range. The average recovery of 9 out of 11 markers is 78%. A significant proportion of two other markers binds to the column. Based on the average marker recovery and a depletion of ˜;85% of the total protein we estimate a five‐fold enrichment of a potential biomarker by the use of this depletion column. We conclude that the selective depletion of plasma proteins by immunoaffinity chromatography is a valid strategy for the enrichment of potential biomarkers sought by proteomics methodologies.
BET Protein BRDT Complexes With HDAC1, PRMT5, and TRIM28 and Functions in Transcriptional Repression During Spermatogenesis

The expression of BRDT, a member of the BET sub‐family of double bromodomain‐containing proteins, is restricted to the male germ line, specifically to pachytene‐diplotene spermatocytes and early spermatids. We previously showed that loss of the first bromodomain of BRDT by targeted mutagenesis (BrdtΔBD1) resulted in sterility and abnormalities in spermiogenesis, but little is known about BRDT's function at the molecular level. As part of studies designed to identify BRDT‐interacting proteins we stably introduced a FLAG‐tagged BRDT cDNA into 293T cells, which do not normally express BRDT. Affinity‐purification of FLAG‐tagged BRDT complexes indicated that BRDT has novel interactions with the histone deacetylase HDAC1, the arginine‐specific histone methyltransferase 5 PRMT5, and the Tripartite motif‐containing 28 protein TRIM28. Immunofluorescent microscopy revealed that BRDT co‐localized with each of these proteins in round spermatids and co‐immunoprecipitation of testicular extracts showed that these proteins interact with BRDT. Furthermore, they bind the promoter of H1t, a putative target of BRDT‐containing complexes. This binding of H1t was lost in mice expressing the BrdtΔBD1 mutant protein and concomitantly, H1t expression was elevated in round spermatids. Our study reveals a role for BRDT‐containing complexes in the repression of gene expression in vivo that correlates with dramatic effects on chromatin remodeling and the progression of spermiogenesis. J. Cell. Biochem. 117: 1429–1438, 2016. © 2015 Wiley Periodicals, Inc.
Development of lighting system for hologram using high power LEDs

Light emitting diode (LED) became popular rapidly by the appearance of blue LED. Three color (R, G, B) emitting LEDs are utilized for the image display system by the development of multi color emitting LED. White LEDs became to commercial base by combining blue or UV light sources for excitation and materials for fluorescence. White LEDs are prevailing for general lighting applications. A single tip with the power of 5W became line up for commercial market owing to the research for high intensity LEDs. As a result, LEDs are replacing the market of conventional incandescent lighting and even head lights of the automobile. In this study, we aim to fabricate the white and R, G, B lighting system using high brightness LEDs for the lighting of holograms instead of a conventional halogen lamp.
Jitter in deep sub-micron interconnect

Timing jitter in long on-chip interconnects has become an increasingly important issue in signal integrity and timing violations. In this paper, we focus on cycle-to-cycle jitter induced by repeater power supply noise in both point-to-point and branched RC and RLC interconnects in 70nm CMOS. We develop an analytical expression for jitter based on propagation delay variation that accurately predicts HSPICE simulation results. We show the difference in impact between RC and RLC wire models on jitter (up to 64%). We also show a method for jitter-optimal repeater insertion which differs from conventional delay optimal insertion methods, resulting in larger repeaters. Finally, we introduce methods which can decrease timing violations in branched global interconnects by adjusting repeater size and tuning the phase of the power supply noise.
Nonlinear control of mechanical systems with one degree of underactuation

Numerous robotic tasks associated with underactuation have been studied in the literature. For a large number of these in the plane, the mechanical models have a cyclic variable, the cyclic variable is unactuated, and all shape variables are independently actuated. This paper formulates and solves two control problems for this class of models. If the generalized momentum conjugate to the cyclic variable is conserved, a set of that outputs is defined. If the generalized momentum conjugate to the cyclic variable is not conserved, a feedback that asymptotically stabilizes an equilibrium is given. The results are illustrated on a ballistic nip motion and on a balancing task.
A circuit for coding interaural time differences in the chick brainstem

Third-order auditory neurons in the avian nucleus laminaris (NL) are the first to receive binaural input. In the chick, NL consists of a monolayer of neurons with polarized dendritic arbors oriented dorsally and ventrally. Afferents from second-order neurons in the ipsilateral nucleus magnocellularis (NM) innervate the dorsal dendrites of NL neurons, distributing processes of approximately equal length to NL neurons along an isofrequency band (roughly caudomedial to rostrolateral). Afferents from the contralateral NM innervate the ventral dendrites of NL neurons, distributing collateral branches sequentially as they proceed from caudomedial to rostrolateral along the isofrequency band of neurons. This innervation pattern could be the basis of a “delay line” circuit, as postulated in models of neural networks mediating sound localization. We examined this circuit by analyzing evoked field potentials using a brain slice preparation containing both NL and NM. The results were consistent with the previous anatomical findings. When the ipsilateral auditory nerve or ipsilateral NM was stimulated, there was no consistent variation in the latency of postsynaptic field potentials across the medial-to-lateral extent of NL. In contrast, when the contralateral NM or NM axons in the crossed dorsal cochlear tract were stimulated, a linear increase in the latency of postsynaptic potentials was observed from medial to lateral positions in NL. When stimulation amplitudes for both the ipsilateral and contralateral inputs were adjusted so as to produce little or no postsynaptic field potential, simultaneous bilateral stimulation evoked a pronounced response. Thus, NL neurons can act as “coincidence detectors. ” The amplitude of the postsynaptic response was dependent on the relative timing of stimulation of the two inputs. The optimal time difference changed systematically across the medial-to-lateral extent of NL. This system of delay lines and coincidence detectors could provide a mechanism for converting interaural time differences into a “place map” within NL.
Searching for Taxonomy-based Similarity Measures for Medical Data

Identifying an appropriate measure of similarity between concepts is an important step in solving data mining tasks and designing decision support systems, being also a challenging problem because of the plethora of measures in the current use. When choosing a similarity measure the particularities of data to be processed and the availability of additional information should be taken into account. This paper addresses the problem of estimating the (dis)similarity between lists containing entities defined by a taxonomy and presents the results of a comparative analysis of several measures. The analysis is conducted in the context of processing lists of ICD-10 diagnostic codes. The set of analyzed similarities is obtained by combining several code-level and list-level measures. A weighted version of the measure based on edge counting is proposed and its ability to explain observed structures in data is estimated using some cluster validity indices. The comparative analysis involves also measures based on the information content estimated using either the taxonomy structure or a data corpus.
A Framework for Smart Proxies and Interceptors in RMI

The Java Remote Method Invocation (RMI) API shields the developer from the details of distributed programming, allowing him to concentrate on application specific code. But to perform some operations that are orthogonal to the application, like logging, auditing, caching, QoS, fault tolerance, and security, sometimes it is necessary to customize the default behavior of the RMI runtime. Other middleware for distributed programming, like CORBA and the Remoting framework of the . NET platform, support smart proxies and interceptors, which can be used for these purposes, allowing the separation of application-specific code from service-specific code. In RMI there is no direct way of doing so. This paper presents a framework based on the Dynamic Proxy API for using smart proxies and interceptors with RMI. This framework requires no changes in the client application and minimal changes in the server application, giving the developer greater control over the distributed application. A practical example of use is also given, by using the described framework to implement user authentication and fine-grained access control in RMI.
Developments in coupled solid‐phase extraction–capillary electrophoresis 2013–2015

An overview of the design and application of coupled solid‐phase extraction‐capillary electrophoresis (SPE‐CE) systems reported in the literature between July 2013 and June 2015 is provided in this paper. The present article is a continuation of our previous review papers on this topic which covered the time period 2000–2013 (Electrophoresis 2008, 29, 108–128; Electrophoresis 2010, 31, 44–54; Electrophoresis 2012, 33, 243–250; Electrophoresis 2014, 35, 128–137). The use of in‐line and on‐line SPE‐CE approaches is treated and outlined in this review. Recent advancements, such as, for example, the use of aptamers as affinity material for in‐line SPE‐CE, the use of a bead string design for in‐line fritless SPE‐CE, and new interfacing techniques for the on‐line coupling of SPE to CE, are outlined. Selected examples demonstrate the applicability of the coupled SPE‐CE systems for biomedical, pharmaceutical, environmental, and food studies. A complete overview of the recent SPE‐CE studies is given in table format, providing information on sample type, SPE sorbent, coupling mode, detection mode, and LOD. Finally, some general conclusions and perspectives are provided.
Shape Classification based on Skeleton-branch Distances

In recent decades, the need for efficient and effective image search from large databases has increased. In this paper, we present a novel shape matching framework based on structures that are likely to exist in similar shapes. After representing shapes as medial axis graphs, where vertices show skeletons and edges connect nearby skeletons, we determine the branches connecting or representing shape’s different parts. Using the shortest path distance from each vertex (skeleton) to each of the branches, we effectively retrieve similar shapes to the given query through a transportation-based distance function. A set of shape retrieval experiments including the comparison with two previous approaches demonstrate the proposed algorithm’s effectiveness and perturbation experiments present its robustness.
Genetic association of ACSM1 variation with schizophrenia and major depressive disorder in the Han Chinese population

Schizophrenia (SCZ) and major depressive disorder (MDD) are two of the most common and severe mental disorders, the etiologies of which are not yet clearly elucidated. The ACSM1 gene has been identified as a susceptibility gene for SCZ in two previous genome‐wide association studies (GWAS). ACSM1 catalyzes the activation of fatty acids and plays an important role in the metabolic system. Some evidence has suggested that ACSM1 contributes to a genetic risk for MDD. The present study aimed to evaluate the common genetic risk of the ACSM1 gene in these two disorders in the Han Chinese population. In total, 1235 patients with SCZ, 1045 patients with MDD and 1235 control subjects of Chinese origin were recruited. Six single nuclear polymorphisms (SNPs) in ACSM1 were genotyped to test their associations with SCZ and MDD. SNP rs163234 was found to be significantly associated with both SCZ (permutated Pallele = 1.700 × 10−3, OR = 1.350 [95% CI = 1.152–1.581]) and MDD (permutated Pallele = 4.800 × 10−3, OR = 1.329 [95% CI = 1.127–1.567]). SNP rs433598 showed a strong association with SCZ (permutated Pallele = 4.300 × 10−3, OR = 1.303 [95% CI = 1.117–1.520]). Haplotype analysis of the blocks containing the two positive markers also revealed a significant association. This is the first study to assess the possible association of the ACSM1 gene with a genetic susceptibility for MDD. Our data are the first to suggest a positive association of the ACSM1 gene with a genetic susceptibility for SCZ and MDD in the Han Chinese population. © 2015 Wiley Periodicals, Inc.
Applying Novel QuickLearn Algorithm for Pattern Recognition

In this paper we describe novel QuickLearn (QL) algorithm for pattern classification which has two steps. The mapping level, first step, includes a multi input-single output mapping function (MF) with fixed weights and input data were presented to it during the training phase. It is only a kind of data shifting and scaling before presenting to next level. After shifting and scaling output of first step which is a scalar value to the range [0,T], we can round it to have an integer value (y). The second step, matching level, only includes an array with T cells called affine look-up table (ALT). The training phase for QL includes only one step, no learning cycles. In this single step, the integer value y is used as a reference address to call and upload the label for corresponding input samples in N cells of ALT (copy label from the cell [y-N/2] to the cell [y+ N/2-1]) (data leakages to N-l neighbor cells). In the testing phase, we need only to recall and introduce value of the cell with the index y as the final output (final winner class). The QL is evaluated and compared with existing supervised neural networks on a variety of some well known pattern classification problems. Elapsed time for training a fresh QL classifier is typically only few milliseconds.
Unified Three-Terminal Switch Model for Current Mode Controls

Current mode controls have been widely used in many power converters with various topologies. Small signal equivalent circuit model is an effective tool for controller design. However, no unified equivalent circuit model applicable to various converters is available. This paper proposes a unified three-terminal switch model for current mode controls with constant frequency and variable frequency modulations operating in continuous conduction mode, providing an accurate and simple equivalent circuit for various converters using current mode control schemes. By identifying the invariant three-terminal structure in current mode control pulsewidth modulation (PWM) converters, which consists of active switch, passive switch, inductor, and closed current loop, the terminal current and voltage relationships are studied and represented by a small signal equivalent circuit. A small signal model for a current mode control PWM converter can be obtained by point-by-point substitution of the PWM switch with its equivalent circuit. The proposed model is verified by simulation and experimental results of various converters, and compared with other models to demonstrate its accuracy. The proposed model is accurate up to half of switching frequency.
HERSCHEL OBSERVATIONS OF MAJOR MERGER PAIRS AT z = 0: DUST MASS AND STAR FORMATION

We present Herschel PACS and SPIRE far-infrared (FIR) and submillimeter imaging observations for a large K-band selected sample of 88 close major-merger pairs of galaxies (H-KPAIRs) in 6 photometric bands (70, 100, 160, 250, 350, and 500 μm). Among 132 spiral galaxies in the 44 spiral–spiral (S+S) pairs and 44 spiral–elliptical (S+E) pairs, 113 are detected in at least 1 Herschel band. The star formation rate (SFR) and dust mass (Mdust) are derived from the IR SED fitting. The mass of total gas (Mgas) is estimated by assuming a constant dust-to-gas mass ratio of 0.01. Star-forming spiral galaxies (SFGs) in S+S pairs show significant enhancements in both specific star formation rate (sSFR) and star formation efficiency (SFE), while having nearly the same gas mass compared to control galaxies. On the other hand, for SFGs in S+E pairs, there is no significant sSFR enhancement and the mean SFE enhancement is significantly lower than that of SFGs in S+S pairs. This suggests an important role for the disk–disk collision in the interaction-induced star formation. The Mgas of SFGs in S+E pairs is marginally lower than that of their counterparts in both S+S pairs and the control sample. Paired galaxies with and without interaction signs do not differ significantly in their mean sSFR and SFE. As found in previous works, this much larger sample confirms that the primary and secondary spirals in S+S pairs follow a Holmberg effect correlation on sSFR.
Resolution Enhancement by Compressive Sensing in Power Quality and Phasor Measurement

Measurement in power systems and, particularly, in smart grids and smart microgrids is often concerned with harmonic analysis of voltage and current waveforms. The use of Fourier-based algorithms is widespread, and the limits following from the fundamental time-versus-frequency tradeoff that relates observation time to frequency resolution are well understood. This paper presents the application of an algorithm based on the principles of compressive sensing that can achieve an order-of-magnitude resolution improvement without significantly extending total observation time. For harmonic analysis in power systems, this means that accurate results can be obtained using shorter observation intervals, which allow to effectively track changes and reduce the effect of transients on measurements. The application of the algorithm to harmonics and interharmonics, as well as to phasor measurement, is considered and analyzed.
Quantifying the cerebral metabolic rate of oxygen by combining diffuse correlation spectroscopy and time-resolved near-infrared spectroscopy

Abstract. Preterm infants are highly susceptible to ischemic brain injury; consequently, continuous bedside monitoring to detect ischemia before irreversible damage occurs would improve patient outcome. In addition to monitoring cerebral blood flow (CBF), assessing the cerebral metabolic rate of oxygen (CMRO2) would be beneficial considering that metabolic thresholds can be used to evaluate tissue viability. The purpose of this study was to demonstrate that changes in absolute CMRO2 could be measured by combining diffuse correlation spectroscopy (DCS) with time-resolved near-infrared spectroscopy (TR-NIRS). Absolute CBF was determined using bolus-tracking TR-NIRS to calibrate the DCS measurements. Cerebral venous blood oxygenation (SvO2) was determined by multiwavelength TR-NIRS measurements, the accuracy of which was assessed by directly measuring the oxygenation of sagittal sinus blood. In eight newborn piglets, CMRO2 was manipulated by varying the anesthetics and by injecting sodium cyanide. No significant differences were found between the two sets of SvO2 measurements obtained by TR-NIRS or sagittal sinus blood samples and the corresponding CMRO2 measurements. Bland–Altman analysis showed a mean CMRO2 difference of 0.0268±0.8340 mL O2/100 g/min between the two techniques over a range from 0.3 to 4 mL O2/100 g/min.