Miracle-dz/UniFAR-FTUs huggingface dataset:
Arguments and Adjuncts as Language-Particular Syntactic Categories and as Comparative Concepts

In this short paper, I point out that there is a discrepancy between the widespread assumption that “argument” and “adjunct” should be seen as cross-linguistic categories and the practice of providing language-particular tests for the distinction. Language-particular criteria yield language-particular categories, which cannot be readily compared across languages. I discuss a possible distinguishing criterion (the pro-verb test) that might work cross-linguistically, though I also note that it may not be universally applicable. Finally I note that fortunately, the most important typological differences between languages concern the coding of participants regardless of their status as arguments or adjuncts, so that comparative concepts of argument and adjunct may not be so important for cross-linguistic comparison.
Implementation Brief: Use of Commercial Record Linkage Software and Vital Statistics to Identify Patient Deaths

We evaluate the ability of a microcomputer program (Automatch) to link patient records in our hospital's database (N = 253,836) with mortality files from California (N = 1,312,779) and the U.S. Social Security Administration (N = 13,341,581). We linked 96.5% of 3,448 in-hospital deaths, 99.3% for patients with social security numbers. None of 14,073 patients known to be alive (because they were subsequently admitted) was linked with California deaths, and only 6 (0.1%) of 6,444 were falsely identified as dead in the United States file. For patients with unknown vital status but items in the database likely to be associated with high 3-year mortality rates, we identified death records of 88% of 494 patients with cancer metastatic to the liver, 84% of 164 patients with pancreatic cancer, and 91% of 126 patients with CD4 counts of less than 50. Hospital data can be accurately linked with state and national vital statistics using commercial record linkage software.
InterPlay: a middleware for seamless device integration and task orchestration in a networked home

As consumer electronic devices become more powerful and networked, users are required to understand more and more `complex' device functionalities just to carry out simplest tasks. Users are experiencing more and more inconvenience and frustration as the number and complexity of home devices rise and the amount of content/data stored in the home increases. To address these problems, we have developed middleware technologies to integrate heterogeneous CE devices and allow users to simply select what activities they want to perform in the home. Our middleware software allows users to use a simple pseudo-English interface to achieve home tasks without having to consider where a particular content is located and how to achieve that task
Application of X-Ray Computer Tomography for Observing the Central Void Formations and the Fuel Pin Deformations of Irradiated FBR Fuel Assemblies

In order to observe the structural change in the interior of irradiated fuel assemblies, a non-destructive post-irradiation examination (PIE) technique using X-ray computer tomography (X-ray CT) was developed. This X-ray CT technique was applied to observe the central void formations and fuel pin deformations of fuel assemblies which had been irradiated at high linear heat rating. The central void sizes in all fuel pins were measured on five cross sections of the core fuel column as a parameter for evaluating fuel thermal performance. In addition, the fuel pin deformations were analyzed from X-ray CT images obtained along the axial direction of a fuel assembly at the same separation interval. A dependence of void size on the linear heat rating was seen in the fuel assembly irradiated at high linear heat rating. In addition, significant undulations of the fuel pin were observed along the axial direction, coinciding with the wrapping wire pitch in the core fuel column. Application of the developed technique should provide enhanced resolution of measurements and simplify fuel PIEs.
Failure to activate the in-hospital emergency team: causes and outcomes

Objective To determine the incidence of afferent limb failure of the in-hospital Medical Emergency Team, characterizing it and comparing the mortality between the population experiencing afferent limb failure and the population not experiencing afferent limb failure. Methods A total of 478 activations of the Medical Emergency Team of Hospital Pedro Hispano occurred from January 2013 to July 2015. A sample of 285 activations was obtained after excluding incomplete records and activations for patients with less than 6 hours of hospitalization. The sample was divided into two groups: the group experiencing afferent limb failure and the group not experiencing afferent limb failure of the Medical Emergency Team. Both populations were characterized and compared. Statistical significance was set at p ≤ 0.05. Result Afferent limb failure was observed in 22.1% of activations. The causal analysis revealed significant differences in Medical Emergency Team activation criteria (p = 0.003) in the group experiencing afferent limb failure, with higher rates of Medical Emergency Team activation for cardiac arrest and cardiovascular dysfunction. Regarding patient outcomes, the group experiencing afferent limb failure had higher immediate mortality rates and higher mortality rates at hospital discharge, with no significant differences. No significant differences were found for the other parameters. Conclusion The incidence of cardiac arrest and the mortality rate were higher in patients experiencing failure of the afferent limb of the Medical Emergency Team. This study highlights the need for health units to invest in the training of all healthcare professionals regarding the Medical Emergency Team activation criteria and emergency medical response system operations.
Dynamics of DNA Replication during Premeiosis and Early Meiosis in Wheat

Meiosis is a specialised cell division that involves chromosome replication, two rounds of chromosome segregation and results in the formation of the gametes. Meiotic DNA replication generally precedes chromosome pairing, recombination and synapsis in sexually developing eukaryotes. In this work, replication has been studied during premeiosis and early meiosis in wheat using flow cytometry, which has allowed the quantification of the amount of DNA in wheat anther in each phase of the cell cycle during premeiosis and each stage of early meiosis. Flow cytometry has been revealed as a suitable and user-friendly tool to detect and quantify DNA replication during early meiosis in wheat. Chromosome replication was detected in wheat during premeiosis and early meiosis until the stage of pachytene, when chromosomes are associated in pairs to further recombine and correctly segregate in the gametes. In addition, the effect of the Ph1 locus, which controls chromosome pairing and affects replication in wheat, was also studied by flow cytometry. Here we showed that the Ph1 locus plays an important role on the length of meiotic DNA replication in wheat, particularly affecting the rate of replication during early meiosis in wheat.
Simulation and analysis of biochemical systems

In the study of problems in chemical kinetics in ordinary solution, reactions which may be represented by chemical equations of the form3 A + B = C + D (1) are represented kinetically by the differential equations d(C)/dt = d(D/dt = -d(A)/dt = - d(B)/dt = k(A)(B) (2) where (A), (B), (C), ··· , are the concentrations of A, B, C, ··· , and k is the kinetic constant for the reaction (assuming it to be occurring in ordinary solution).
Interactive Physically-Based Modeling for Gaseous Object using Smoothed Particle Hydrodynamics

This paper presents an interactive method of modelling the various kind of fluid based on Smoothed Particle Hydrodynamics (SPH) in modelling and simulating the gas flow with free surfaces. The modelling technique uses particle system together with molecular dynamics and also any possible external forces. The fluid equations previously used to model compressible fluid are now used to model incompressible fluid, the stiff gas, which is often used in Eulerian grid-based approach. In modelling stage, boundaries and obstacles are determined in order to make a real response of fluid with the boundaries. The leap-frog scheme is used to advance the fluid to the next state. However, the model still needs further modification to improve the realistic and simulation time, which is the goal of every simulator.
Do bank–firm relationships reduce bank debt? Evidence from Japan

The paper analyses how close relationships to banks influence a firm’s choice of financing its debt through publicly marketed bonds or bank loans. It is shown that large Japanese firms use less bank debt, if banks own shares in the firm or bank employees are members of the firm’s board. This result supports a theoretical framework, where banks are able to control agency problems associated with debt. Firms use bank loans in order to be monitored, which enables them to access cheaper bond finance. Closer bank–firm relationships facilitate monitoring for the bank and reduce therefore the need for bank finance.
Multi-frame motion compensation using extrapolated frame by optical flow for lossless Video Coding

We propose an efficient motion compensation method based on a temporally extrapolated frame by using a pel-wise motion (optical flow) estimation. In traditional motion compensation methods, motion vectors are generally detected on a block-by-block basis and sent to the decoder as side information. However, such block-wise motions are not always suitable for motions such as local scaling, rotation, and deformation. On the other hand, pel-wise motion can be estimated on both the side of the encoder and decoder from two successive frames that were previously encoded without side information. The use of pel-wise motion enables the extrapolated frame to be generated under the assumption of linear uniform motions within a short time period. This frame is an approximation of the frame to be encoded. The proposed bi-prediction method uses the extrapolated frame as one of the reference frames. The experimental results indicate that the prediction performance of the proposed method is higher than that of the traditional method.
FPGA Design for PCANet Deep Learning Network

In recent years, deep learning has attracted lots of research interests for pattern recognition and artificial intelligence. PCA Network (PCANet) is a simple deep learning network with highly competitive performance for texture classification and object recognition. When compared to other deep neural networks such as convolutional neural network (CNN), PCANet has much simpler structure, which makes it attractive for hardware design on an FPGA. In this paper, an efficient, high-throughput, pipeline architecture is proposed for the PCANet classifier. The implementation on an FPGA is more than 1,000 times faster than software execution on a general purpose processor. When evaluated using the MNIST handwritten digits dataset, the PCANet design results an accuracy of about 99.46%.
Rewriting Modulo βin the λΠ-Calculus Modulo

The λ Π-calculus Modulo is a variant of the λ-calculus with dependent types where β-conversion is extended with user-defined rewrite rules. It is an expressive logical framework and has been used to encode logics and type systems in a shallow way. Basic properties such as subject reduction or uniqueness of types do not hold in general in the λ Π-calculus Modulo. However, they hold if the rewrite system generated by the rewrite rules together with β-reduction is confluent. But this is too restrictive. To handle the case where non confluence comes from the interference between the β-reduction and rewrite rules with λ-abstraction on their left-hand side, we introduce a notion of rewriting modulo β for the λ Π-calculus Modulo. We prove that confluence of rewriting modulo β is enough to ensure subject reduction and uniqueness of types. We achieve our goal by encoding the λ Π-calculus Modulo into Higher-Order Rewrite System (HRS). As a consequence, we also make the confluence results for HRSs available for the λ Π-calculus Modulo.
Secret-key agreement over unauthenticated public channels III: Privacy amplification

For pt. II see ibid., vol.49, no.4, p.832-38 (2003). Here, we consider the special case where the legitimate partners already share a mutual string which might, however, be partially known to the adversary. The problem of generating a secret key in this case has been well studied in the passive-adversary model - for instance, in the context of quantum key agreement - under the name of privacy amplification. We consider the same problem with respect to an active adversary and propose two protocols, one based on universal hashing and one based on extractors, allowing for privacy amplification secure against an adversary whose knowledge about the initial partially secret string is limited to one third of the length of this string. Our results are based on novel techniques for authentication secure even against adversaries knowing a substantial amount of the "secret" key.
Evaluation of Renal-Hepatic Functional Indices and Blood Pressure Based on the Progress of Time in a Rat Model of Chronic Kidney Disease

Background Chronic kidney disease (CKD) is defined as either kidney damage or a decline in renal function as determined by a decreased glomerular filtration rate (GFR) for three months or longer. CKD is an important risk factor for mortality. Objectives The aim of this study was to evaluate the effects of CKD on renal-hepatic functional indices and blood pressure in 5/6 nephrectomized (5/6 Nx) rats over the course of nine months. Materials and Methods Male Wistar rats were subjected to either 5/6 Nx or sham operations (n = 8). Members of the sham group underwent the same procedure without surgical reduction of the kidney mass. For all animals, body weight (BW), serum creatinine (Cr), blood urea nitrogen (BUN), alanine transaminase (ALT), and aspartate transaminase (AST) levels were measured before and after surgery. After two-, three-, six-, and nine-month intervals, blood was collected to assay renal and hepatic functional indices. Tail-cuff blood pressure was recorded in each month after surgery. Results BW was lower for the 5/6 Nx group rats after the operations compared with the BW of those in the sham operation group. Furthermore, the 5/6 Nx group showed elevations in blood pressure, Cr, BUN, ALT, and AST levels compared with the sham group over the course of time. Conclusions In summary, CKD induced by the 5/6 Nx model caused hypertension and increased serum levels of Cr, BUN, ALT, and AST. These changes are augmented by the progress of time.
Transient modeling of an integrated charger for a plug-in hybrid electric vehicle

This paper considers a permanent magnet assisted synchronous reluctance (PMSynRel) machine for an integrated charger application for use in a plug-in hybrid electric vehicle (PHEV). The integrated charger functionality means that the machine is also used when the battery is charged from the electrical grid. A finite element model (FEM) is presented from which a transient model of the complete system is derived. The resulting model can be used for simulating and tuning the algorithms needed to synchronize the machine to the electrical grid and controlling the charging process.
Towards topic following in heterogeneous information networks

Who are the best targets to receive a call-for-paper or call-for-participation? What kind of topics should we propose for a workshop or a special issue of next year? Precisely predicting author's topic following behavior, i.e., publishing papers of a certain research topic in future, is essential to answer these questions. In this paper, we aim to model and predict author's topic following behavior in a heterogeneous information network. The heart of our methodology is to evaluate the author-author similarity through informative meta paths in the network. The models we propose in this paper can predict not only whether a given author will follow a certain topic but also the topic distribution over all publications in the next year. Extensive experimental evaluations justify that the prediction performance of our approach outperforms the existing approaches across various topics.
Computing Replenishment Cycle Policy under Non-stationary Stochastic Lead Time

In this paper we address the general multi-period production/inventory problem with non-stationary stochastic demand and supplier lead time under service-level constraints. A replenishment cycle policy (R n ,S n ) is modeled, where R n is the n-th replenishment cycle length and S n is the respective order-up-to-level. Initially we extend an existing formulation for this policy in a way to incorporate a dynamic deterministic lead time with the assumption of order cross-over. Following this, we extend the model to incorporate a non-stationary stochastic lead time. Within a constraint programming framework, a dedicated constraint implementing a hybrid approach is proposed to compute replenishment cycle policy parameters.
A 1.25-V micropower Gm-C filter based on FGMOS transistors operating in weak inversion

This paper presents a novel linearized transconductor architecture working at 1.25 V in a 0.8-/spl mu/m CMOS technology with very low power consumption. The special features of the floating-gate MOS (FGMOS) transistor are combined in weak and strong inversion leading to a simplified topology with fewer stacked transistors and a very low noise floor. The design methodology is thoroughly explained, together with the advantages and disadvantages of working with the FGMOS transistor. Furthermore, second-order effects arising from nonideal behavior of the device are analyzed and limits for the performance are established. Experimental results from a second-order low-pass/bandpass filter that was implemented using the transconductor show a tunability of over one and a half decades in the audio range, a dynamic range of over 62 dB, and a maximum power consumption of 2.5 /spl mu/W. These results demonstrate the suitability of the FGMOS transistor for implementing analog continuous-time filters, while at the same time pushing down the voltage limits of process technologies and simplifying the circuit topologies to obtain significant power savings.
Studies on brain volume, Alzheimer-related proteins and cytokines in mice with chronic overexpression of IL-1 receptor antagonist

Inflammation is associated with both acute and chronic neurological disorders, including stroke and Alzheimer's disease (AD). Cytokines such as interleukin (IL)‐1 have several activities in the brain both under physiological and pathophysiological conditions. The objective of this study was to evaluate consequences of the central blockade of IL‐1 transmission in a previously developed transgenic mouse strain with brain‐directed overexpression of human soluble IL‐1 receptor antagonist (Tg hsIL‐1ra). Effects on brain morphology and brain levels of the AD‐related proteins β‐amyloid precursor protein (APP) and presenilin 1(PS1), as well as the levels of IL‐1β, IL‐6 and tumour necrosis factor‐α (TNF‐α) were analysed in homozygotic and heterozygotic mice and wild type (WT) controls, of both genders and of young (30–40 days) and adult (13–14 months) age. A marked reduction in brain volume was observed in transgenic mice as determined by volumetry. Western blot analysis showed higher levels of APP, but lower levels of PS1, in adult animals than in young ones. In the cerebellum, heterozygotic (Tg hsIL‐1ra+/−) mice had lower levels of APP and PS1 than WT mice. With one exception, there were no genotypic differences in the levels of IL‐1β, IL‐6 and TNF‐α. The cytokine levels were generally higher in adult than in young mice. In conclusion, the chronic blockade of IL‐1 signalling in the brain was associated with an atrophic phenotype of the brain, and with modified levels of APP and PS1. Brain‐directed overexpression of hsIL‐1ra was not followed by major compensatory changes in the levels of pro‐inflammatory cytokines.
A vesicle surface tyrosine kinase regulates phagosome maturation

Phagocytosis is crucial for host defense against microbial pathogens and for obtaining nutrients in Dictyostelium discoideum. Phagocytosed particles are delivered via a complex route from phagosomes to lysosomes for degradation, but the molecular mechanisms involved in the phagosome maturation process are not well understood. Here, we identify a novel vesicle-associated receptor tyrosine kinase-like protein, VSK3, in D. discoideum. We demonstrate how VSK3 is involved in phagosome maturation. VSK3 resides on the membrane of late endosomes/lysosomes with its C-terminal kinase domain facing the cytoplasm. Inactivation of VSK3 by gene disruption reduces the rate of phagocytosis in cells, which is rescued by re-expression of VSK3. We found that the in vivo function of VSK3 depends on the presence of the kinase domain and vesicle localization. Furthermore, VSK3 is not essential for engulfment, but instead, is required for the fusion of phagosomes with late endosomes/lysosomes. Our findings suggest that localized tyrosine kinase signaling on the surface of endosome/lysosomes represents a control mechanism for phagosome maturation.
A smart spa: having fun with physical activities

Exercising is hard work, but, the motivation to exercise can be increased by applying aspects of gamification or contests. We present a system to bring these aspects into the application area of public spas by introducing sensor/actuator networks which are able to locate people even under water. Standard RFID tags in the shape of wristbands are used to localize the users at specific points in or around the pool. With knowledge of the exact position of the users a quantification is possible without explicit user interaction. We show that this gives the opportunity for competitions and games within the public pools. We present a system architecture, concepts for hardware and software, and a prototype implementation.
EgoReID: Cross-view Self-Identification and Human Re-identification in Egocentric and Surveillance Videos

Human identification remains to be one of the challenging tasks in computer vision community due to drastic changes in visual features across different viewpoints, lighting conditions, occlusion, etc. Most of the literature has been focused on exploring human re-identification across viewpoints that are not too drastically different in nature. Cameras usually capture oblique or side views of humans, leaving room for a lot of geometric and visual reasoning. Given the recent popularity of egocentric and top-view vision, re-identification across these two drastically different views can now be explored. Having an egocentric and a top view video, our goal is to identify the cameraman in the content of the top-view video, and also re-identify the people visible in the egocentric video, by matching them to the identities present in the top-view video. We propose a CRF-based method to address the two problems. Our experimental results demonstrates the efficiency of the proposed approach over a variety of video recorded from two views.