Miracle-dz/UniFAR-FTUs huggingface dataset:
The coupling characteristics analysis of a novel 12/14 type bearingless switched reluctance motor

In this paper, coupling characteristics of a novel 12/14 bearingless SRM with non-equidistant inner stator pole arc is researched. In the bearingless SRM the magnetic coupling not only includes the coupling between torque and radial force but also includes coupling between two radial force channels in X and Y direction. Firstly the two types coupling degree are analyzed by means of finite element method in this paper. What's more, some factors that may affect the coupling characteristics such as the radial force winding arrangement and the radial force winding number are all taken into consideration. The analysis result provides good references for the design of decoupling control algorithm.
Surface Wetting Characteristics of Rubbed Polyimide Thin Films

Amide and imide based polymers are a catalogue of versatile materials that have a wide range of applications from scientific interests to commercial products because of their great thermal stability, excellent electric properties, highly mechanical strength, and superior chemical resistance (Sroog, 1976). In a thin film form, polyimides have been found to have many important uses in optoelectronic and photonic applications. One of the most successful examples in industrial applications is the use of polyimide thin films as molecular alignment layers in liquid crystal displays. By unidirectionally rubbing a thin layer of polyimide coated on a substrate a template with some form of anisotropy can be created. When a liquid crystal is put in contact with the rubbed polyimide film, the interactions between the surface and the liquid crystal molecules degenerate into actions with orientational features. As a result, liquid crystal molecules are driven to orient in a desired direction. Because of its outstanding ability and reliability in molecular alignment, the easiness in processing and cost effective, rubbing polyimide becomes the standard liquid crystal alignment technique, and rubbed polyimide thin films as efficient alignment layers are, up to date, still irreplaceable components in modern LCDs. On the other hand, a surface process will cause changes in chemicophysical and physcochemical properties at outmost surface of a polymer, and these changes, in turn, will induce many interesting surface phenomena, and impose a number of interesting aspects for scientific research and may lead to engineering applications. In many circumstances, a comprehensive knowledge of surface properties of polyimide thin films is of prime importance for elucidating mechanisms behind surface phenomena. A number of experimental results have shown that rubbing causes polymer chains to become oriented unidirectionally along the rubbing direction (Sawa et al., 1994; Sakamot et al., 1994; Hirosawa, 1996; Arafune, 1997), and the anisotropy in the distribution of the polymer chains is considered to be the main factor responsible for liquid crystal alignment. Wetting characteristics of a polymer surface are remarkably sensitive to chemical compositions and morphology of the outmost surface, and can provide a wide range of information on physical properties of the surface. The changes in surface characteristics of polyimide thin films due to mechanical rubbing must be reflected by surface wettability of the polymer 10
Improved Constituent Context Model with Features

The Constituent-Context Model (CCM) achieves promising results for unsupervised grammar induction. However, its performance drops for longer sentences. In this paper, we describe a general feature-based model for CCM, in which linguistic knowledge can be easily integrated as features. Features take the log-linear form with local normalization, so the Expectation-Maximization (EM) algorithm is still applicable to estimate model parameters. The l1-norm is used to control the model complexity, leading to sparse and compact grammar. We also propose to use a separated development to perform model selection and an additional test set to evaluate the performance. Under this framework, we could automatically choose suitable model parameters rather than setting them empirically. Experiments on the English treebank demonstrate that the feature-based model achieves comparable performance on short sentences but significant improvement on longer sentences.
Simulations of the Generalization Mechanism in Concepts Formation

To explore some mechanisms of generalization in concept formation, we build a Three-layer neural network with feedback and Hebbian learning rules. Using binary sequences as input, we simulate the generalization process from multiple examples to a concept. After tens of training, the outputs of the network will converge to stable states which denote the formation of a concept. We suggest that generalization is a nonlinear emergence phenomenon generated by collective behavior of neurons and feedback between neurons is a necessary factor.
Nonlinear model identification of a ship using recursive subspace methods

In this paper, we propose an online identification algorithm of ships for the dynamic positioning system. The ship model is first changed into Hammerstein form, then subspace identification method is used, with its simplicity and robustness, to perform the identification procedure. In order to make the identification algorithm more practical for online application, an effective updating strategy is proposed with Givens rotation matrices introduced. The proposed online identification method is tested on a DP-3 simulation system, with the assumption that the ship is operating under a calm sea condition, but the noise interference of the input/output measurement is considered. At last, simulation results showed the feasibility and effectiveness of the proposed identification method.
Sibyl, a factoid question-answering system for spoken documents

In this article, we present a factoid question-answering system, Sibyl, specifically tailored for question answering (QA) on spoken-word documents. This work explores, for the first time, which techniques can be robustly adapted from the usual QA on written documents to the more difficult spoken document scenario. More specifically, we study new information retrieval (IR) techniques designed or speech, and utilize several levels of linguistic information for the speech-based QA task. These include named-entity detection with phonetic information, syntactic parsing applied to speech transcripts, and the use of coreference resolution. Sibyl is largely based on supervised machine-learning techniques, with special focus on the answer extraction step, and makes little use of handcrafted knowledge. Consequently, it should be easily adaptable to other domains and languages. Sibyl and all its modules are extensively evaluated on the European Parliament Plenary Sessions English corpus, comparing manual with automatic transcripts obtained by three different automatic speech recognition (ASR) systems that exhibit significantly different word error rates. This data belongs to the CLEF 2009 track for QA on speech transcripts. The main results confirm that syntactic information is very useful for learning to rank question candidates, improving results on both manual and automatic transcripts, unless the ASR quality is very low. At the same time, our experiments on coreference resolution reveal that the state-of-the-art technology is not mature enough to be effectively exploited for QA with spoken documents. Overall, the performance of Sibyl is comparable or better than the state-of-the-art on this corpus, confirming the validity of our approach.
Association between exclusive pipe smoking and mortality from cancer and other diseases.

BACKGROUND Although many studies have examined the adverse health effects of pipe smoking combined with other forms of tobacco use, few have included large numbers of exclusive pipe smokers. The prevalence of pipe smoking has declined since the 1960s, yet usage is still common regionally, especially among older populations. METHODS Using Cox proportional hazards models, we examined the association between pipe smoking and mortality from tobacco-related cancers and other diseases in a cohort of U.S. men enrolled in the Cancer Prevention Study II, an American Cancer Society prospective study. The cohort of 138 307 men included those who reported, in their 1982 enrollment questionnaire, exclusive current or former use of pipes (n = 15,263 men) or never use of any tobacco product (n = 123,044 men). Analyses were based on 23 589 men who died during 18 years of follow-up. RESULTS Current pipe smoking, compared with never use of tobacco, was associated with an increased risk of death from cancers of the lung (relative risk [RR] = 5.00, 95% confidence interval [CI] = 4.16 to 6.01), oropharynx (RR = 3.90, 95% CI = 2.15 to 7.08), esophagus (RR = 2.44, 95% CI = 1.51 to 3.95), colorectum (RR = 1.41, 95% CI = 1.15 to 1.73), pancreas (RR = 1.61, 95% CI = 1.24 to 2.09), and larynx (RR = 13.1, 95% CI = 5.2 to 33.1), and from coronary heart disease (RR = 1.30, 95% CI = 1.18 to 1.43), cerebrovascular disease (RR = 1.27, 95% CI = 1.09 to 1.48), and chronic obstructive pulmonary disease (RR = 2.98, 95% CI = 2.17 to 4.11). These risks were generally smaller than those associated with cigarette smoking and similar to or larger than those associated with cigar smoking. Relative risks of lung cancer showed statistically significant increases with number of pipes smoked per day, years of smoking, and depth of inhalation and decreases with years since quitting. CONCLUSION Results from this large prospective study suggest that pipe smoking confers a risk of tobacco-associated disease similar to cigar smoking.
Automatic annotation of traditional dance data using motion features

This study investigates the accuracy of human dance motion capture and classification from selected Malaysian dances for Malaysian Dance Annotation (MDA). Dance motion classification is a new scope to motion classification. Recent studies focus on basic movements classification where motion is not very complex, such as walking or waving hand. In this paper, an attempt has been made to classify complex motion such as a dance. This work is motivated by the need to develop an automated tool to annotate dance videos to build traditional dance video management and retrieval system. We evaluate our system on a dataset of different types of Malaysian dances, collected from Youtube. Despite the complex movements in dance, the proposed solution requires less human input effort and gets a suitable accuracy for complex dance motion annotation.
Exploring the Effects of Feed-forward and Feedback on Information Disclosure and User Experience in a Context-Aware Recommender System

When disclosing information to a recommender system, users need to trade off its usefulness for receiving better recommendations with the privacy risks incurred through this disclosure. Our paper describes a series of studies that will investigate the use of feed-forward and feedback messages to inform users about the potential usefulness of their disclosure. We hypothesize that this approach will influence the user experience in several interesting ways.
TEM Quantification of Amphibole in Asbestos Containing Materials: A Summary of Data 20 Years in the Making

The use of the minerals commonly referred to as "asbestos" has a lengthy history dating back to the turn of the first century, if not earlier [1]. More modern uses beginning with a surge at the end of the First World War involved implementation in a variety of building materials, industrial products, and consumer products. Over 90% of the asbestos that was used for these products utilized the specific asbestos type chrysotile, a member of the serpentine mineral family. Whereas the amphibole class of asbestos minerals include tremolite, actinolite, anthophyllite, crocidolite, and amosite.
An improved method for power management and voltage control of PV unit in DC microgrid

According to growing of DC loads such as LEDs and computers, DC Microgrids will play an undeniable role in power systems in future. One of important power sources in DC Microgrids is photo voltaic (PV) unit which usually is composed of PV panel, super-capacitor (SC) and battery. In this paper, using models of PV panel, SC and battery, an improved method is suggested for providing the load power by participation of PV, SC and battery with considering the SOC of battery and SC. The final aim of power management is controlling the DC link voltage at desired amount and improving its quality when some disturbances like load current or PV output power changing are occurred. The performance of the presented method is verified using simulations carried out in MATLAB/SIMULINK software.
CNTNAP2 variants affect early language development in the general population

Early language development is known to be under genetic influence, but the genes affecting normal variation in the general population remain largely elusive. Recent studies of disorder reported that variants of the CNTNAP2 gene are associated both with language deficits in specific language impairment (SLI) and with language delays in autism. We tested the hypothesis that these CNTNAP2 variants affect communicative behavior, measured at 2 years of age in a large epidemiological sample, the Western Australian Pregnancy Cohort (Raine) Study. Singlepoint analyses of 1149 children (606 males and 543 females) revealed patterns of association which were strikingly reminiscent of those observed in previous investigations of impaired language, centered on the same genetic markers and with a consistent direction of effect (rs2710102, P = 0.0239; rs759178, P = 0.0248). On the basis of these findings, we performed analyses of four‐marker haplotypes of rs2710102–rs759178–rs17236239–rs2538976 and identified significant association (haplotype TTAA, P = 0.049; haplotype GCAG, P = .0014). Our study suggests that common variants in the exon 13–15 region of CNTNAP2 influence early language acquisition, as assessed at age 2, in the general population. We propose that these CNTNAP2 variants increase susceptibility to SLI or autism when they occur together with other risk factors.
Dispersion Behaviour of Silica Nanoparticles in Biological Media and Its Influence on Cellular Uptake

Given the increasing variety of manufactured nanomaterials, suitable, robust, standardized in vitro screening methods are needed to study the mechanisms by which they can interact with biological systems. The in vitro evaluation of interactions of nanoparticles (NPs) with living cells is challenging due to the complex behaviour of NPs, which may involve dissolution, aggregation, sedimentation and formation of a protein corona. These variable parameters have an influence on the surface properties and the stability of NPs in the biological environment and therefore also on the interaction of NPs with cells. We present here a study using 30 nm and 80 nm fluorescently-labelled silicon dioxide NPs (Rubipy-SiO2 NPs) to evaluate the NPs dispersion behaviour up to 48 hours in two different cellular media either supplemented with 10% of serum or in serum-free conditions. Size-dependent differences in dispersion behaviour were observed and the influence of the living cells on NPs stability and deposition was determined. Using flow cytometry and fluorescence microscopy techniques we studied the kinetics of the cellular uptake of Rubipy-SiO2 NPs by A549 and CaCo-2 cells and we found a correlation between the NPs characteristics in cell media and the amount of cellular uptake. Our results emphasize how relevant and important it is to evaluate and to monitor the size and agglomeration state of nanoparticles in the biological medium, in order to interpret correctly the results of the in vitro toxicological assays.
The Lanczos Method for Parameterized Symmetric Linear Systems with Multiple Right-Hand Sides

The solution of linear systems with a parameter is an important problem in engineering applications, including structural dynamics, acoustics, and electronic circuit simulations, and in related model order reduction methods such as Pade via Lanczos. In this paper, we present a Lanczos-based method for solving parameterized symmetric linear systems with multiple right-hand sides. We show that for this class of applications, a simple deflation method can be used.
Path Planning for UAV in Radar Network Area

This paper mainly introduces a path planning algorithm for the unmanned aerial vehicles (UAVs) to avoid radar network. The radar network contains several radars which have different detection ranges. In this algorithm, firstly, according to the theory of the Delaunay triangulations, a directed graph is constructed based on the locations and the detection ranges of the radars. Secondly, the Dijkstra algorithm is used to search an initial path for the UAV. Thirdly, the optimization approach is used to calculate the optimal control vector which the UAV needs when the UAV navigates to the goal position along the initial path. The simulation results showed that the paths which are planned by the algorithm not only could guide the UAV to avoid the radar network, but also satisfy some task-required constraints, which include temporal, spatial, and UAV maneuverability constraints.
New methods for precise detection of systolic complexes in the signal acquired from quantitative seismocardiograph

Quantitative seismocardiography is a simple and non-invasive method of measuring compression waves generated by heart activity. It provides important information about the cardiovascular system. The first important information acquired from quantitative seismocardiogram (QSCG) is the pseudo-period rate. This paper focuses just on the detection of pseudo-periods in the QSCG signal. Two methods of detection together with a method of sophisticated data preprocessing are presented. The results of the methods are demonstrated using real data.
Automated essay scoring using set of literary sememes

Automatic essay scoring system is a very important research tool for many educational studies. Many researches indicate that AES systems should be able to analyze semantic characteristics of an essay and include more such features to score essays. This paper makes an assumption: some concepts that can be regarded as literary concepts would only be utilized by skillful writers. However, it is a difficult task to extract literal concepts due to small size of training corpora. This work uses a semantic network tool to overcome the problem. The concepts in essays can be transformed into sememes using the tool and literary concepts are also transformed into literary sememes. This work introduces a method which makes use of the literary sememes in an essay to score the essay. Experimental results show that the accuracy of the proposed method for Chinese essays is comparable to those as achieved by several current English AES systems.
Discovery of Small Molecule Inhibitors of the PH Domain Leucine-Rich Repeat Protein Phosphatase (PHLPP) by Chemical and Virtual Screening

PH domain Leucine-rich repeat protein phosphatase (PHLPP) directly dephosphorylates and inactivates Akt and protein kinase C, poising it as a prime target for pharmacological intervention of two major survival pathways. Here we report on the discovery of small molecule inhibitors of the phosphatase activity of PHLPP, a member of the PP2C family of phosphatases for which there are no general pharmacological inhibitors. First, the Diversity Set of the NCI was screened for inhibition of the purified phosphatase domain of PHLPP2 in vitro. Second, selected libraries from the open NCI database were docked into a virtual model of the phosphatase domain of PHLPP2, previously trained with our experimental data set, unveiling additional inhibitors. Biochemical and cellular assays resulted in the identification of two structurally diverse compounds that selectively inhibit PHLPP in vitro, increase Akt signaling in cells, and prevent apoptosis. Thus, chemical and virtual screening has resulted in the identification of small molecules that promote Akt signaling by inhibiting its negative regulator PHLPP.
Predictors of Medical and Surgical Complications After Robot-Assisted Partial Nephrectomy: An Analysis of 1139 Patients in a Multi-Institutional Kidney Cancer Database.

INTRODUCTION Previous robot-assisted partial nephrectomy (RAPN) studies have identified various predictors of overall and major postoperative complications, but few have evaluated the specific role of these factors in the development of medical and surgical complications. In this study, we present an analysis of the modifiable and nonmodifiable variables influencing medical and surgical complications in a contemporary series of patients who underwent RAPN and were followed in a prospectively maintained, multi-institutional kidney cancer database. METHODS A retrospective review of all patients who underwent RAPN at four institutions between 2008 and 2015 was performed. Multivariable logistic regression models were used to determine predictors of medical and surgical postoperative complications. RESULTS Data from 1139 patients were available for analysis. Sixty-seven patients (5.8%) experienced a medical postoperative complication, and 82 (7.1%) experienced a surgical complication. Decreasing baseline estimated glomerular filtration rate (eGFR) (odds ratio [OR] = 0.98, p = 0.003), greater estimated blood loss (EBL) (OR = 1.002, p = 0.001), and operating surgeon (OR = 8.01, p < 0.001) were associated with an increased likelihood of surgical complications, while decreasing baseline eGFR (OR = 0.99, p = 0.054) and operating surgeon (OR = 1.96, p = 0.054) were associated with an increased likelihood of medical complications. CONCLUSION We present complication risks in a large contemporary cohort of patients undergoing robotic partial nephrectomy (RPN) with only 11.3% of patients experiencing a medical or surgical postoperative complication. Prospective candidates for robotic PN with poor baseline renal function and/or risk factors for greater EBL, including a high body mass index, or a complex renal mass should be counseled appropriately on their increased risk for a medical or surgical postoperative complication.
Barcoded DNA-Tag Reporters for Multiplex Cis-Regulatory Analysis

Cis-regulatory DNA sequences causally mediate patterns of gene expression, but efficient experimental analysis of these control systems has remained challenging. Here we develop a new version of “barcoded" DNA-tag reporters, “Nanotags" that permit simultaneous quantitative analysis of up to 130 distinct cis-regulatory modules (CRMs). The activities of these reporters are measured in single experiments by the NanoString RNA counting method and other quantitative procedures. We demonstrate the efficiency of the Nanotag method by simultaneously measuring hourly temporal activities of 126 CRMs from 46 genes in the developing sea urchin embryo, otherwise a virtually impossible task. Nanotags are also used in gene perturbation experiments to reveal cis-regulatory responses of many CRMs at once. Nanotag methodology can be applied to many research areas, ranging from gene regulatory networks to functional and evolutionary genomics.