Miracle-dz/UniFAR-FTUs huggingface dataset:
Crystallographic properties and mechanical behaviour of titanium hydride layers grown on titanium implants

Commercially pure titanium for bone-anchored dental implants, subjected to a sand-blasting and acid-etching surface treatment, has been mechanically tested and analysed by scanning electron microscopy and transmission electron microscopy observations. A fcc titanium hydride layer grows on the polycrystalline titanium substrate with various epitaxial relationships, whose grains also show epitaxial relationships with each other. Indentations, flexion tests and dislocation analyses indicate that this hydride layer can be plastically deformed.
Skill retention: A test of the effects of overlearning and skill retention interval on maintenance of infrequently used complex skills

While researchers have suggested that overlearning increases the likelihood of skill retention, there is little consensus or evidence as to how much overlearning is required, and how such overlearning interacts with distributed practice schedules. Additionally, most research has measured skill retention based on relatively short re-testing intervals of 56 days or less; however, little is known about whether overlearning can mitigate skill degradation when the retention interval is 6 or 12 months in duration. This research examined the relationship between overlearning and retention by measuring the amount of overlearning attained in a pistol training program and measuring skill across retention intervals of 1, 6 or 12 months. The results indicate that both test and re-test performance was better over 18 sessions vs. 9 sessions, although, doubling the number of trials for the participants who trained over 18 sessions demonstrated no discernible improvement. However, the number of sessions was not the only variable that predicted performance. It was clear that overlearning resulted in better overall skill retention and that when skill retention is critical, focusing solely on the number of training sessions will achieve only partial success of those goals.
Overview of Erosion Mechanisms, Impurity Transport, and Deposition in TEXTOR and Related Modeling

Abstract This paper gives an overview of the research activities at TEXTOR on impurity production, impurity transport through the plasma, and then deposition. First, laboratory experiments on chemical erosion by hydrogen and oxygen and radiation-enhanced sublimation are described, followed by the main part, which concentrates on the TEXTOR data of impurity release, impurity transport, and redeposition. The differences between the behavior of high-Z and low-Z materials are discussed. Many of the TEXTOR experiments are carried out using special limiter locks, but the overall carbon balance of net erosion sources and net deposition zones are also shown. Finally, modeling of erosion and dedicated transport experiments are addressed.
Self-calibration of an Uncalibrated Stereo Rig from One Unknown Motion

We address in this paper the problem of self-calibration and metric reconstruction (up to a scale) from one unknown motion of an uncalibrated stereo rig. The epipolar constraint is first formulated for two uncalibrated images. The problem then becomes one of estimating unknowns such that the discrepancy from the epipolar constraint, in terms of sum of squared distances between points and their corresponding epipolar lines, is minimized. Redundancy of the information contained in a sequence of stereo images makes this method more robust than using a sequence of monocular images. Real data have been used to test the proposed method, and the results obtained are quite good. We also show experimentally that it is very difficult to estimate precisely the coordinates of the principal points of cameras. A variation of as high as several dozen pixels in the principal point coordinates does not affect significantly the 3-D reconstruction. A theoretical analysis is provided in this paper to explain this phenomenon.
MMP‐3 mediates psychosine‐induced globoid cell formation: Implications for leukodystrophy pathology

Globoid cell leukodystrophy (GLD) or Krabbe disease, is a fatal demyelinating disease attributed to mutations in the galactocerebrosidase (GALC) gene. Loss of function mutations in GALC result in accumulation of the glycolipid intermediate, galactosylsphingosine (psychosine). Due to the cytotoxicity of psychosine, it has been hypothesized that accumulated psychosine underlie the pathophysiology of GLD. However, the cellular mechanisms of GLD pathophysiology remain unclear. Globoid cells, multinucleated microglia/macrophages in the central nervous system (CNS), are a defining characteristic of GLD. Here we report that exposure of primary glial cultures to psychosine induces the expression and the production of matrix metalloproteinase (MMP)‐3 that mediated a morphological transformation of microglia into a multinucleated globoid cell type. Additionally, psychosine‐induced globoid cell formation from microglia was prevented by either genetic ablation or chemical inhibition of MMP‐3. These effects are microglia‐specific as peripheral macrophages exposed to psychosine did not become activated or express increased levels of MMP‐3. In the brain from twitcher mice, a murine model of human GLD, elevated MMP‐3 expression relative to wild‐type littermates was contemporaneous with disease onset and further increased with disease progression. Further, bone marrow transplantation (BMT), currently the only therapeutically beneficial treatment for GLD, did not mitigate the elevated expression of MMP‐3 in twitcher mice. Hence, elevated expression of MMP‐3 in GLD may promote microglial responses to psychosine that may represent an important pathophysiological process in this disease and its treatment.
A Fuzzy Approach for Mining Generalized Frequent Temporal Patterns

The incorporation of temporal semantics into the traditional data mining techniques has caused the creation of a new area called Temporal Data Mining. This incorporation is especially necessary if we want to extract useful knowledge from dynamic domains, which are time-varying in nature. Related to this topic, we proposed in [11] an algorithm named TSET for mining temporal patterns (sequences) from datasets. In this paper, we present an extension of the algorithm based on the incorporation of fuzzy sets techniques into the mining process in order to extract general, flexible, and temporal patterns which reflects the uncertainty and imprecision presented in real domains.
XenMon : QoS Monitoring and Performance Profiling Tool Performance Study : How Much CPU Needs to Be Allocated to Dom O for Efficient Support of Web Server Applications ?

The goal of this short paper is twofold: 1) it briefly describes a new performance monitoring tool, XenMon, that we built for the Xen-based virtual environment, and 2) it presents a performance case study that demonstrates and explains how different metrics reported by XenMon can be used in gaining insight into an application’s performance and its resource usage/requirements, especially in the case of I/O intensive applications.
Development and Testing of Transcription Software for a Southern Min Spoken Corpus

The usual challenges of transcribing spoken language are compounded for Southern Min (Taiwanese) because it lacks a generally accepted orthography. This study reports the development and testing of software tools for assisting such transcription. Three tools are compared, each representing a different type of interface with our corpus-based Southern Min lexicon (Tsay, 2007): our original Chinese character-based tool (Segmentor), the first version of a romanization-based lexicon entry tool called Adult-Corpus Romanization Input Program (ACRIP 1.0), and a revised version of ACRIP that accepts both character and romanization inputs and integrates them with sound files (ACRIP 2.0). In two experiments, naive native speakers of Southern Min were asked to transcribe passages from our corpus of adult spoken Southern Min (Tsay and Myers, in progress), using one or more of these tools. Experiment 1 showed no disadvantage for romanization-based compared with character-based transcription even for untrained transcribers. Experiment 2 showed significant advantages of the new mixed-system tool (ACRIP 2.0) over both Segmentor and ACRIP 1.0, in both speed and accuracy of transcription. Experiment 2 also showed that only minimal additional training brought dramatic improvements in both speed and accuracy. These results suggest that the transcription of non-Mandarin Sinitic languages benefits from flexible, integrated software tools.
Naked singularities and quantum gravity - interpreting the quantum divergence in spherical collapse

There are known models of spherical gravitational collapse in which the collapse ends in a naked shell-focusing singularity for some initial data. If a massless scalar field is quantized on the classical background provided by such a star, it is found that the outgoing quantum flux of the scalar field diverges in the approach to the Cauchy horizon. In this paper we provide an interpretation for this divergence, using the naked singularity in dust collapse. We argue that the semiclassical approximation (i.e. quantum field theory on a classical curved background) used in these analyses ceases to be valid about one Planck time before the epoch of naked singularity formation, because by then the curvature in the central region of the star reaches Planck scale. It is shown that during the epoch in which the semiclassical approximation is valid, the total emitted energy is about one Planck unit, and is not divergent. We also argue that back reaction in this model does not become important so long as gravity can be treated classically. It follows that the further evolution of the star will be determined by quantum gravitational effects, and without invoking quantum gravity it is not possible to say whether the star radiates away on a short time scale or settles down into a black hole state. We also calculate the spectrum of the produced particles for the self-similar dust model.
DMA Damage Induced in Human Diploid Cells by Decay of Incorporated Radionuclides1

Alkaline and neutral elution techniques were used to charac terize the production of singleand double-strand DMA breaks in human diploid fibroblasts by incorporated radionuclides. 125I was incorporated in DMA as [125l]iododeoxyuridine, 3H as [3H]thymidine, and 14C as [14C]thymidine. Under frozen conditions, 125Iwas 3 times as efficient as 3H per decay in inducing singlestrand breaks and 6 times as efficient as 14C.For double-strand break production, however, 125Iwas 6 times as efficient per decay as 3H. It was calculated that, on the average, each 125I decay produces about one double-strand break in the frozen state. Under nonfrozen conditions, 125Iand external X-rays were roughly 5-fold and 3H about 3-fold more efficient in double-strand break induction than under frozen conditions.
An unsupervised approach to glottal inverse filtering

The extraction of the glottal volume velocity waveform from voiced speech is a well-known example of a sparse signal recovery problem. Prior approaches have mostly used well-engineered speech processing or convex L1-optimization methods to solve the inverse filtering problem. In this paper, we describe a novel approach to modeling the human vocal tract using an unsupervised dictionary learning framework. We make the assumption of an all-pole model of the vocal tract, and derive an L1 regularized least squares loss function for the all-pole approximation. To evaluate the quality of the extracted glottal volume velocity waveform, we conduct experiments on real-life speech datasets, which include vowels and multi-speaker phonetically balanced utterances. We find that the the unsupervised model learns meaningful dictionaries of vocal tracts, and the proposed data-driven unsupervised framework achieves a performance comparable to the IAIF (Iterative Adaptive Inverse Filtering) glottal flow extraction approach.
Fitts's Law: Towards a Geometric Explanation

In designing human-computer interfaces, designers use an empirical Fitts’s Law, according to which the average time T of accessing an icon of size w at a distance d from the center of the screen is proportional to the logarithm of the ratio w/d. There exist explanations for this law, but these explanations have gaps. In this paper, we show that these gaps can be explained if we analyze this problem from the geometric viewpoint. Thus, we get a geometric explanation of the Fitts’s Law. What is Fitts’s Law. The efficiency of computer-based systems for education, information, commerce, etc., strongly depends on the user-friendliness of the corresponding interfaces, in particular, on the location and size of the appropriate icones. When deciding the location and size of different icons on a computer screen, designers use the Fitts’s Law [3, 4]. This law describe how the average time T of accessing an icon depends on the distance d from the center of the screen to the icon and on the linear size w of this icon: T = a+ b · ln ( d w ) , for some constants a and b. How Fitts’s Law is used in interface design. The use of Fitts’s Law started with the very first mouse-accessible interfaces; see, e.g., [1]. It is based on the following idea. Each icon corresponds to a specific task or group of tasks. Some tasks are more frequent, some are rarer: for example, editing is a frequent task, while logging off is a rarer task. For each task, we can empirically determine the frequency fi with which this task is performed. We can therefore gauge the
Replication of Software Engineering Experiments

Carrying out empirical studies is slowly becoming widely held to be of importance by the software engineering community. A view perhaps less widely held is that experiments should be replicated externally to both verify and generalise the original results. This paper serves a number of purposes. The need for external replications is established and the role of replication in experimental software engineering is discussed. Without the con rming power of external replications, results in experimental software engineering should only provisionally be accepted, if at all. The paper then draws heavily on the authors' experiences in externally replicating three software engineering experiments ([Kor86, PVB95, KL96])to provide guidance on three, relatively neglected areas: the improving of experimental `recipes' during replication to either focus or generalise results, the use of alternative data analysis techniques, speci cally rule induction, to seek alternative explanations when the results of replications di er, and packaging of experiments for replication. The facilitation of replication through properly constructed replication packages places formidable but largely unrewarding demands on the original experimenter. Yet without appropriately constructed and documented replication packages systematic and cumulative empirical investigation will be di cult to achieve. It is demonstrated that a modest generalisation of the characterisation scheme, or framework, proposed by Lott and Rombach [LR96], will serve well as the basis for the reporting, packaging and recipe improvement of software engineering experiments for the purposes of external replication. It also demonstrates the insights that can be achieved from seeking explanations beyond those provided by purely statistical analyses.
A New Method for Data Stream Mining Based on the Misclassification Error

In this paper, a new method for constructing decision trees for stream data is proposed. First a new splitting criterion based on the misclassification error is derived. A theorem is proven showing that the best attribute computed in considered node according to the available data sample is the same, with some high probability, as the attribute derived from the whole infinite data stream. Next this result is combined with the splitting criterion based on the Gini index. It is shown that such combination provides the highest accuracy among all studied algorithms.
Communities in Affiliation Networks with Attitudunal Actors

Our aim here is to plead for the significance of cultural considerations of overlapping inter-attitudinal patterns right next to well established structural considerations of interorganizational networks based on overlapping membership patterns. In particular, we examine how the analytical sociological methodological incorporation of cultural attributes or attitudes might enhance our understanding of structural community categorizations in interorganizational networks. For this purpose, we analyze data of the International Peace Protest Survey (IPPS) on the world-wide peace protests of February, 15, 2003, in order to manifest the added value offered by the consideration of the culture-structure duality in participation studies.
IN-MEDIUM ION MASS RENORMALIZATION AND LATTICE VIBRATIONS IN THE NEUTRON STAR CRUST

The inner crust of a neutron star consists of nuclei immersed in a superfluid neutron liquid. As these nuclei move through the fermionic medium they bring it into motion as well. As a result their mass is strongly renormalized and the spectrum of the ion lattice vibrations is significantly affected. Consequently we predict that the specific heat and the lattice thermal energy of the Coulomb crystal at these densities are noticeably modified.
Analysis and Design for the Nano-positioning XY-Stage Based on the MEMS Technology

In order to realize nano-positioning for operating on the micro-object under the nano-scale condition, the paper presented a novel single crystal silicon (SCS) nano-positioning micro XY-Stage, which bases on the technology of Micro Electro Mechanical Systems (MEMS) and integrates with the functions of drive and detecting position. This XY-Stage is fabricated on a single-crystal-silicon by combining the technology of the deep reactive ion etching (DRIE) at silicon with anode bonding processes. Lateral electrostatics comb drive is used as driving power to drive the movable stage in the x-direction and y-direction and the displacement of the movable stage is detected by the position sensors. Then the signals derived from the sensors are used to build up the closed-loop control to improve the XY-Stage positioning precision. Especially, each comb-drive actuator adopts pull-pull mode to increase the electrostatic force. The developed XY-Stage of 2000times2000 mum2 is suspended in the center of the chip by four sets of folded beam, detecting beam and bending flexure composite springs. The paper modeled the structure and used finite element method (FEM) to analyze the structure of the XY-Stage, maximize moving distance, resonant frequency and modal shape of the XY-Stage. The simulation and analysis result showed that under 30 V driving voltage, the efficient driving force is 649.8 muN and a 13.5 mum moving stroke in each of four directions. Simultaneity, the mechanical coupling is very small (0.0114 mum); and the first-order resonant frequency is 1121 Hz, above of all verified the XY-Stage is reasonable and practical further.
Stability analysis and system design of sigma-delta modulators

A system design with new empirical stability criteria for sigma-delta modulators is proposed. The stability criteria is a cubic function obtained by the least square method, and simulations including coefficients variation due to component mismatches of circuit implementation are included. By using the proposed methodology, several stability criteria of different targets (e.g., architectures, oversampling ratios (OSRs), and multi-bit) are found.
Rear-view mirror: vision, time, modernity and the Anthropocene*

Abstract The rear-view mirror is a metaphoric favourite in popular culture. This exploratory essay positions the rear-view mirror as, predominantly, a quintessentially modern device for reimagining the past and its relationship to the present and future. Combined with that icon of modern economies, the motorcar, it gives a sense of a paved journey towards the future while from the driver’s seat allowing a framed, receding view of the past. With distance that past can be critically held: ‘it now makes sense’. This sensemaking relies upon a spatial rendering of time that makes past, present and future concrete. However, this dominant metaphor of the rear-view mirror in popular culture is supplemented by less certain uses: it can also evoke the uncanny; bring spectres from the past into the present; or heighten our enmeshment with structural power. This essay explores this terrain of the rear-view mirror in examples from radio, song, music video and film, and then questions the efficacy of the metaphor in the anthropocene. The rear-view mirror, then, is an entry point for considering our engagement with the past, present and future, and how and where is our gaze directed and for whom.
Udel @ NTCIR-11 IMine Track

This paper describes our participation in the Intent Mining track of NTCIR-11. We present our methods and results for both document ranking and subtopic mining. Our ranking methods are based on several data fusion techniques with some variations. Our subtopic mining method is a very simple technique that uses query dimensions’ items to form a subtopic
Obesity and human papillomavirus infection in perimenopausal women.

INTRODUCTION Obesity is known to increase susceptibility to certain infections in men. It is unclear whether obesity increases women's risk for human papillomavirus (HPV) infection. METHODS In a prospective cohort of 696 perimenopausal women enrolled in 2008-2012, we sought to determine whether obesity predicted incident HPV detection or nondetection. Obesity was defined as body mass index (BMI) ≥ 30 kg/m(2). RESULTS Baseline any type HPV prevalence was comparable between obese and nonobese women (18.7% vs 19.1%; P > .05). Over a median follow-up period of 17.9 months (interquartile range: 12.1-24.5), 187 new HPV detections occurred among 123 women, 60 of whom subsequently lost 76 detectable infections. When compared with nonobese participants, obese women had a similar rate of new HPV detection (7.1 vs 7.8 infections per 1000 infection-years; P > .05) or loss of detection (100.3 vs 85.8 infections per 100 infection-years; P > .05). Similar results were found after adjusting for age, menopausal status, smoking habit, and sexual exposure history. CONCLUSIONS Results from the current analysis suggest little effect of obesity on HPV detection and loss of detection in mid-adult women. More research is needed to determine whether adipokines or cytokines better capture the potential immune modulating effects of obesity on HPV infection.
Design and Simulation of a 3.35 GHz Down-Conversion Mixer in 0.18μm CMOS Technology for UWB System

A low voltage and high gain down-conversion mixer is designed and implemented in a 0. 18μm CMOS technology for UWB applications. The proposed mixer is based on the traditional Gilbert cell along with inductive source degeneration in the RF trans-conductance stage. It also incorporates DTMOS (Dynamic Threshold Voltage MOSFET) technique and a LC matching network at the RF trans-conductance stage in order to improve the linearity and conversion gain of the mixer. The RF signal is applied simultaneously to both the gate and the body of the trans-conductance transistors and the LO signal is applied simultaneously to both the gate as well as the body terminals of the switching transistors.The proposed mixer is designed for a Radio Frequency (RF) signal of 3.35 GHz with a fixed Intermediate Frequency (IF) of 250 MHz. The proposed mixer is simulated using Advanced Design System (ADS) software in a 0. 18μm CMOS technology at the DC supply of 1V. Simulation results show that the mixer achieves a conversion gain of 10.065 dB, third order Input Intercept point (IIP3) of -1.535 dBm, 1dB gain compression point of -13.028 dBm, S11 of -7.891 dB and a single sideband noise figure of 4.534 dB.