Miracle-dz/UniFAR-FTUs huggingface dataset:
Serum Profiles of E-Selectin, Interleukin-10, and Interleukin-6 and Oxidative Stress Parameters in Patients with Acute Pancreatitis and Nonpancreatic Acute Abdominal Pain

Introduction Excessive inflammatory response is one of the major causes of early mortality in acute pancreatitis (AP). Aim To evaluate the serum profiles of E-selectin, interleukin (IL)–6, and IL-10 along with their correlation to the markers of oxidative stress and neutrophil activation in patients with AP and patients with nonpancreatic acute abdominal pain (NPAAP). Methodology This prospective clinical study included 56 patients with AP (28 with mild AP and 28 with severe AP) as well as 15 patients with NPAAP. Results Serum concentrations of E-selectin, IL-10, and IL-6 and plasma concentrations of polymorphonuclear leukocyte elastase (determined on days 1–3, 5, and 10 after admission) were the highest in severe AP during the first 3 days and then declined. At day 10, the E-selectin level in severe AP was still higher than that in mild AP, and the IL-10 concentration increased again. There was no elevation in the E-selectin concentration in NPAAP patients, and IL-10 levels remained unchanged in mild AP. Oxidative stress, measured by serum malondialdehyde and 4-hydroxyalkenals levels, was the most pronounced in severe AP. Conclusions The serum E-selectin concentration is markedly elevated in severe AP and is less in mild AP but not in NPAAP. It may result from stimulation with different inflammatory mediators or indicate vascular endothelium injury mediated by oxidative stress, especially in the severe form of AP.
Tangential force sensing system on forearm

In this paper, we propose a sensing system that can detect one dimensional tangential force on a forearm. There are some previous tactile sensors that can detect touch conditions when a user touches a human skin surface. Those sensors are usually attached on a fingernail, so therefore a user cannot touch the skin with two fingers or with their palm. In the field of cosmetics, for example, they want to measure contact forces when a customer puts their products onto their skin. In this case, it is preferable that the sensor can detect contact forces in many different contact ways. In this paper, we decided to restrict a target area to a forearm. Since the forearm has a cylindrical shape, its surface deformation propagates to neighboring areas around a wrist and an elbow. The deformation can be used to estimate tangential force on the forearm. Our system does not require any equipment for the active side (i.e. fingers or a palm). Thus a user can touch the forearm in arbitrary ways. We show basic numerical simulation and experimental results which indicate that the proposed system can detect tangential force on the forearm. Also we show some possible applications that use the forearm as a human-computer interface device.
An extensible interface for QM/MM molecular dynamics simulations with AMBER

We present an extensible interface between the AMBER molecular dynamics (MD) software package and electronic structure software packages for quantum mechanical (QM) and mixed QM and classical molecular mechanical (MM) MD simulations within both mechanical and electronic embedding schemes. With this interface, ab initio wave function theory and density functional theory methods, as available in the supported electronic structure software packages, become available for QM/MM MD simulations with AMBER. The interface has been written in a modular fashion that allows straight forward extensions to support additional QM software packages and can easily be ported to other MD software. Data exchange between the MD and QM software is implemented by means of files and system calls or the message passing interface standard. Based on extensive tests, default settings for the supported QM packages are provided such that energy is conserved for typical QM/MM MD simulations in the microcanonical ensemble. Results for the free energy of binding of calcium ions to aspartate in aqueous solution comparing semiempirical and density functional Hamiltonians are shown to demonstrate features of this interface. © 2013 Wiley Periodicals, Inc.
Biochemical and antigenic properties of the Campylobacter flagellar hook protein

The flagellar filament-hook complex was removed from Campylobacter cells by shearing and was purified by differential solubilization and ultracentrifugation at pH 11 followed by cesium chloride buoyant density ultracentrifugation. Flagellar filaments were then dissociated in 0.2 M glycine-HCl (pH 2.2), and purified hooks were collected by ultracentrifugation. The hooks (105 by 24 nm) each displayed a conical protrusion at the proximal end, a concave cavity at the distal end, and helically arranged subunits. The apparent subunit molecular weight of the hook protein of seven of the eight Campylobacter strains studied was 92,500, while that of the other was 94,000. N-terminal amino acid analysis of the hook protein of two strains of Campylobacter coli and one strain of Campylobacter jejuni demonstrated that the first 15 residues were identical. Amino acid composition analysis showed that the Campylobacter hook protein contained 35.7% hydrophobic and 9.5% basic residues. Isoelectric focusing determined that the hook protein was acidic, with a pI of 4.9. Comparisons with the Salmonella and Caulobacter hook protein compositions and N-terminal amino acid sequences indicated that the Campylobacter protein was related, but more distantly than these two proteins were to each other. Immunochemical analysis with four different antisera and a panel of eight strains showed that serospecific epitopes were immunodominant. The Campylobacter hook proteins carried both cross-reactive and specific non-surface-exposed epitopes, as well as serospecific epitopes which were exposed on the surface of the assembled hook. One class of these surface-exposed hook epitopes was shared with serospecific flagellin epitopes and may involve posttranslational modification, while the second class of epitopes was hook specific and not shared with flagellin.
Efficient Implementation of Beam-Search Incremental Parsers

Beam search incremental parsers are accurate, but not as fast as they could be. We demonstrate that, contrary to popular belief, most current implementations of beam parsers in fact run in O(n 2 ), rather than linear time, because each statetransition is actually implemented as an O(n) operation. We present an improved implementation, based on Tree Structured Stack (TSS), in which a transition is performed in O(1), resulting in a real lineartime algorithm, which is verified empirically. We further improve parsing speed by sharing feature-extraction and dotproduct across beam items. Practically, our methods combined offer a speedup of 2x over strong baselines on Penn Treebank sentences, and are orders of magnitude faster on much longer sentences.
A Framework for (Tele-) Monitoring of the Rehabilitation Progress in Stroke Patients

Summary Background: Preservation of mobility in conjunction with an independent life style is one of the major goals of rehabilitation after stroke. Objectives: The Rehab@Home framework shall support the continuation of rehabilitation at home. Methods: The framework consists of instrumented insoles, connected wirelessly to a 3G ready tablet PC, a server, and a web-interface for medical experts. The rehabilitation progress is estimated via automated analysis of movement data from standardized assessment tests which are designed according to the needs of stroke patients and executed via the tablet PC application. Results: The Rehab@Home framework’s implementation is finished and ready for the field trial (at five patients’ homes). Initial testing of the automated evaluation of the standardized mobility tests shows reproducible results. Conclusions: Therefore it is assumed that the Rehab@Home framework is applicable as monitoring tool for the gait rehabilitation progress in stroke patients.
Logic Journal of the Interest Group in Pure and Applied Logics Scope of the Journal Descente Infinie + Deduction

Inductive theorem proving in the form of descente infinie was known to the ancient Greeks and is the standard induction method of a working mathematician since it was reinvented in the middle of the 17 th century. We present an integration of descente infinie into state-of-the-art free-variable sequent and tableau calculi. It is well-suited for an efficient interplay of human interaction and automation and combines raising, explicit representation of variable dependency, the liberalized δ-rule, preservation of solutions, and unrestricted applicability of lemmas and induction hypotheses. The semantical requirements are satisfied for a variety of two-valued logics, such as clausal logic, classical first-order logic, and higher-order modal logic.
Photonic Crystal Waveguides for Integration into an Atomic Physics Experiment

Strongly interacting systems of atoms and photons are an important resource in many active areas of research, including quantum information science, quantum simulation, and metrology. Frequently, the strength of these interactions is enhanced by using an optical resonator to confine light to a small volume. In recent years, there have been efforts to replace traditional Fabry–Perot resonators, formed from macroscopic mirrors, with micro- and nano-fabricated systems, leveraging techniques and infrastructure from semiconductor manufacture to scalably produce high-quality, small mode volume waveguides and resonators. Of particular interest are nano-fabricated photonic crystals, in which very fine control over modal and dispersion properties is possible. Here I describe our efforts to reliably produce photonic crystal waveguides with guided modes designed to trap and interrogate an array of ultracold cesium atoms. Specifically, I present models capturing band placement, modal structure, finite photonic crystal effects, and waveguide input and output coupling; I discuss the techniques we use to fabricate our photonic crystal waveguides; and I describe our characterization capabilities and the packaging and installation of the waveguides into the atomic physics system.
Annotation of Discourse Connectives for the Prague Dependency Treebank

The paper presents a preliminary study on discourse connectives (DC) in Czech. Aiming to build a computerized language corpus capturing discourse relations in Czech, we base our observations on current foreign projects with the same purpose. In this study, first, the different methods of linguistic analysis of the discourse structure and discourse connec- tives are described, next, the nature and properties of the group of DCs are analyzed and, finally, the procedure of the annotation of discourse connectives in Prague is presented.
Towards a Compositional Semantics for English Intonation

Brown, Currie and Kenworthy 1980 and Brown 1983 provided an important corrective to the discussion of information structure of that time by reasserting the central role of intonation in its expression in English. Bolinger (1958, 1961) and Halliday (1963, 1967a,b) had laid the foundation of a discourse semantics for tunes, but their insights had largely neen ignored in subsequent work on information structure attempting to extend Halliday’s given-new distinction by Haviland and Clark (1974), Clark and Clark (1977), Clark and Haviland (1977), Prince (1981), and Sanford and Garrod (1981). In more recent work by Selkirk (1984), and particularly Hirschberg and Pierrehumbert (1986) and Pierrehumbert and Hirschberg (1990), among others, there has been a renewed attempt to define a compositional semantics of information and propositional attitude for the intonational system. The present paper offers a new semantics for the tones which I believe to be closer than earlier work (including my own) to the spirit of Halliday’s and Brown’s original insight that the tones are as directly associated with elements of a compositional discourse semantics as are words with more traditional elements of semantics. 1
Complex Species Status for Extinct Moa (Aves: Dinornithiformes) from the Genus Euryapteryx

The exact species status of New Zealand's extinct moa remains unknown. In particular, moa belonging to the genus Euryapteryx have been difficult to classify. We use the DNA barcoding sequence on a range of Euryapteryx samples in an attempt to resolve the species status for this genus. We obtained mitochondrial control region and the barcoding region from Cytochrome Oxidase Subunit I (COI) from a number of new moa samples and use available sequences from previous moa phylogenies and eggshell data to try and clarify the species status of Euryapteryx. Using the COI barcoding region we show that species status in Euryapteryx is complex with no clear separation between various individuals. Eggshell, soil, and bone data suggests that a Euryapteryx subspecies likely exists on New Zealand's North Island and can be characterized by a single mitochondrial control region SNP. COI divergences between Euryapteryx individuals from the south of New Zealand's South Island and those from the Far North of the North Island exceed 1.6% and are likely to represent separate species. Individuals from other areas of New Zealand were unable to be clearly separated based on COI differences possibly as a result of repeated hybridisation events. Despite the accuracy of the COI barcoding region to determine species status in birds, including that for the other moa genera, for moa from the genus Euryapteryx, COI barcoding fails to provide a clear result, possibly as a consequence of repeated hybridisation events between these moa. A single control region SNP was identified however that segregates with the two general morphological variants determined for Euryapteryx; a smaller subspecies restricted to the North Island of New Zealand, and a larger subspecies, found on both New Zealand's North and South Island.
Vehicle localization using its vibration caused by road surface roughness

This paper describes a study of vehicle localization using its vibration due to road surface roughness. The authors suggest a vehicle localization scheme in which a vehicle can identify its location on the road. The vehicle localization can be carried out matching the current vehicle vibration with the prior observed vehicle vibration in the database as a vibration map. In this paper, the longitudinal vehicle localization is carried out by observing the vehicle vibration with a smart phone on the dashboard. First, the authors examine the effect of the matching duration of the current vehicle vibration data to the prior observed vibration for the precise of vehicle localization. It is shown that the long duration matching is effective in more precise vehicle localization. Next, the authors evaluate the performance of the vehicle localization scheme using current vehicle vibration data and prior vibration data in the database observed from the same vehicle, and using the ones from a vehicle and the ones from another vehicle. It is shown that the vehicle localization error is about 2.5 meter when using vibration data from the same vehicle, and about 3.5 meter when using vibration data from a vehicle and another vehicle.
BL-MNE: Emerging Heterogeneous Social Network Embedding Through Broad Learning with Aligned Autoencoder

Network embedding aims at projecting the network data into a low-dimensional feature space, where the nodes are represented as a unique feature vector and network structure can be effectively preserved. In recent years, more and more online application service sites can be represented as massive and complex networks, which are extremely challenging for traditional machine learning algorithms to deal with. Effective embedding of the complex network data into low-dimension feature representation can both save data storage space and enable traditional machine learning algorithms applicable to handle the network data. Network embedding performance will degrade greatly if the networks are of a sparse structure, like the emerging networks with few connections. In this paper, we propose to learn the embedding representation for a target emerging network based on the broad learning setting, where the emerging network is aligned with other external mature networks at the same time. To solve the problem, a new embedding framework, namely "Deep alIgned autoencoder based eMbEdding" (DIME), is introduced in this paper. DIME handles the diverse link and attribute in a unified analytic based on broad learning, and introduces the multiple aligned attributed heterogeneous social network concept to model the network structure. A set of meta paths are introduced in the paper, which define various kinds of connections among users via the heterogeneous link and attribute information. The closeness among users in the networks are defined as the meta proximity scores, which will be fed into DIME to learn the embedding vectors of users in the emerging network. Extensive experiments have been done on real-world aligned social networks, which have demonstrated the effectiveness of DIME in learning the emerging network embedding vectors.
Neither load nor systemic hormones determine resistance training-mediated hypertrophy or strength gains in resistance-trained young men

We provide novel evidence of the effect of lifting markedly different (lighter vs. heavier) loads (mass per repetition) during whole-body resistance training on the development of muscle strength and hypertrophy in previously trained persons. Using a large sample size (n = 49), and contradicting dogma, we report that the relative load lifted per repetition does not determine skeletal muscle hypertrophy or, for the most part, strength development. In line with our previous work, acute postexercise systemic hormonal changes were unrelated to strength and hypertrophic gains.
High frame rate VGA CMOS image sensor using two-step single slope ADCs

A column-parallel two step Single Slope Analog-to-Digital Converter (SS ADC) for high frame rate VGA CMOS Image Sensor. The proposed circuit improves the sampling rate while maintaining the architecture of the conventional SS ADC for high frame rate CIS. The proposed structure does not have analog memory capacitor for storing the value of the first ramp step. The proposed two-step SS ADC has a 12bit resolution and conversion time of 6. 3μs at 62.5MHz clock frequency. The VGA CIS using two step SS ADC has the maximum frame rate of upto 320 frames/s.
Prediction of glass forming ability in Cu xzr 1-x alloys using molecular dynamics

Binary CuxZr1−x (x = 0.46, 0.50, 0.58, 0.62) alloy systems were developed using a conventional melting route. Molecular dynamics (MD) simulations have been carried out using the embedded atom method (EAM) potentials. Radial distribution function (RDF) and Voronoi calculations have been conceded for amorphous structure verification. The reduced glass transition temperature (Trg) has been determined in order to predict the glass forming ability (GFA) of these alloys. Tl is found to be a better substitute for Tm and the simulated Trg values are seen to be in good agreement with the experimental results in limits of 0.8 – 5.4 %.
Oriya handwritten numeral recognition system

This paper deals with recognition of off-line unconstrained Oriya handwritten numerals. To take care of variability involved in the writing style of different individuals, the features are mainly considered from the contour of the numerals. At first, the bounding box of a numeral is segmented into few blocks and chain code histogram is computed in each of the blocks. Features are mainly based on the direction chain code histogram of the contour points of these blocks. Neural network (NN) classifier and quadratic classifier are used separately for recognition and the results obtained from these two classifiers are compared. We tested the result on 3850 data collected from different individuals of various background and we obtained 90.38% (94.81%) recognition accuracy from NN (quadratic) classifier with a rejection rate of about 1.84% (1.31%), respectively.
Tree-Based Policy Learning in Continuous Domains through Teaching by Demonstration

This paper addresses the problem of reinforcement learning in continuous domains through teaching by demonstration. Our approach is based on the Continuous U-Tree algorithm, which generates a tree-based discretization of a continuous state space while applying general reinforcement learning techniques. We introduce a method for generating a preliminary state discretization and policy from expert demonstration in the form of a decision tree. This discretization is used to bootstrap the Continuous U-Tree algorithm and guide the autonomous learning process. In our experiments, we show how a small number of demonstration trials provided by an expert can signiﬁcantly reduce the number of trials required to learn an optimal policy, resulting in a signiﬁcant improvement in both learning efﬁciency and state space size.
A Comparative Study on the Performance of Fiber - Based Biosorbents in the Purification of Biodiesel Derived from Camelina sativa

Biodiesel has received great interest as a promising substitute for petrodiesel. Biodiesel purification which follows the transesterification process is typically carried out using a wet washing process that generates large amounts of wastewater. Consequently, alternative methods are emerging as sustainable options for biodiesel purification. One of such methods is a dry washing process. In this paper, the performance of three dry washing media (commercially available BD-Zorb, sawdust and wood shavings) were evaluated as potentially suitable options for the purification of biodiesel derived from Camelina sativa . The results indicate that for the crude camelina biodiesel with an initial soap content of 9007 ppm, BD-Zorb exhibited the best purification performance. The soap removal capacity of BD-Zorb, sawdust, and wood shavings was 51.1 mL/g, 24.4 mL/g, and 9.4 mL/g respectively. The primary mechanism of soap removal using sawdust and wood shavings media was physical filtration and adsorption. While for adsorbent BD-Zorb, soap removal mechanism included adsorption and ion exchange due to the existence of a small amount of resins. The ion exchange led to a high acid number (1 mg KOH/g) of the purified biodiesel, and failed to meet the ASTM D6751 specifications (<0.5 mg KOH/g).
EEG components of spontaneous trait inferences

Abstract Can event-related electro-encephalogram (EEG) responses provide support for the occurrence of spontaneous trait inferences (STI)? Participants read sentences describing the behavior of a target person from which a strong trait could be inferred. The last word of each sentence determined the consistency with the trait induced during an introductory paragraph. In comparison with sentences that were consistent with the implied trait, when the sentences were inconsistent, an event-related P300 waveform was observed at parietal scalp regions (Pz). This dependency on behavioral consistency indicates that trait inferences were made spontaneously. Memory measures taken after the presentation of the stimulus material involved sentence completion and trait-cued recall, and also supported the occurrence of spontaneously inferred traits associated with the actor. Interestingly, increased memory for consistent relative to inconsistent behaviors at the trait-cued recall task was significantly correlated with the P300, which supports this latter measure as a valid neural correlate of spontaneous trait inferences.