Miracle-dz/UniFAR-FTUs huggingface dataset:
High repetition rate mid-infrared generation with singly resonant optical parametric oscillator using multi-grating periodically poled MgO : LiNbO 3

A high repetition rate mid-infrared singly resonant optical parametric oscillator (OPO) using MgOdoped multi-grating periodically poled LiNbO3 (MgO:PPLN) is demonstrated. A 1064 nm Q-switched Nd:YVO4 laser at 10 kHz repetition rate and pulse width of 17.8 ns was used to pump the OPO. The period of the quasi-phase matched (QPM) grating in the multi-grating MgO:PPLN chip varied from 25.5 to 31.5mm in steps of 0.5mm. This corresponds to the generation of a signal beam from 1.37 to 1.64mm and an idler beam from 3.0 to 4.8mm, respectively. A maximum signal power of 250 mW and idler power of 140 mW has been obtained with an input pump beam of power 1.92 W, for a grating period of 30.5mm. A maximum optic–optic conversion efficiency of 20% and 7.4% in the idler has been observed. It has been observed that the output power increases as the period of the grating increases. & 2009 Elsevier Ltd. All rights reserved.
B-C-N nanotubes and related nanostructures

Chapter 1: Introduction to B-C-N Materials Chee Huei Lee, Jiesheng Wang, Vijaya Kayastha, Yoke Khin Yap (Dept. of Physics, Michigan Tech Univ., USA) Chapter 2: Multiwalled Boron Nitride Nanotubes: Growth, Properties, and Applications Jiesheng Wang, Chee Huei Lee (Dept. of Physics, Michigan Tech Univ., USA) Dmitri Golberg (National Institute for Materials Science/NIMS, Japan) Yoshio Bando (National Institute for Materials Science/NIMS, Japan) Yoke Khin Yap (Dept. of Physics, Michigan Tech Univ., USA) Chapter 3: Single Wall Nanotubes of Boron Nitride, Carbon Nitride, and Boron-Carbon Nitride Raul Arenal (Argonne National Laboratory) Annick Loiseau (LEM, CNRS-ONERA, France) LEM-Laboratoire D'etude des Microstructres, CNRS-Centre National de la Recherche Scientifique, ONERA-Office National d'Etudes et de Recherches Aerospatiales Chapter 4: Electronic Properties of Boron Nitride and Boron-Carbon Nitride Nanotubes, and Related Heterojunctions Xavier Blase (Laboratoire de Physique de la Matiere Condensee et Nanostructures/LPMCN, Universite Lyon 1, France) Pr. Helio Chacham (Dept. de Fisica, Universidade Federal de Minas Gerais/UFMG, Brazil) Chapter 5: Vibrational and Optical Properties of Boron Nitride Nanotubes Ludger Wirtz (Institute for Electronics, Microelectronics, and Nanotechnology /IEMN, France) Angel Rubio (Dept. Material Physics, University of the Basque Country, European Theoretical Spectroscopy Facility/ETSF, and Donostia International Physics Center /DIPC, Spain) Chapter 6: Boron Nitride Nanocage Clusters, Nanotubes, Nanohorns, Nanoparticles and Nanocapsules Takeo Oku (Institute of Scientific and Industrial Research/ISIR, Osaka University, Japan) et. al. Chapter 7: Carbon Nitride and Boron Carbon Nitride Nanostructures Jie Yu (Harbin Institute of Technology) Enge Wang (Institute of Physics, China) Chapter 8: Properties and Applications of Doped Carbon Nanotubes Antonio G. Souza Filho (Dept. De Fisica, Univ. Federal do Ceara, Brazil) Mauricio Terrones (Adv. Mat. Dept., IPICyT, Mexico) Chapter 9: Boron and Boron Carbide Nanotubes and Nanostructures Kah Chun Lau (Dept. of Physics, Michigan Tech Univ., USA) Yoke Khin Yap (Dept. of Physics, Michigan Tech Univ., USA) Ravi Pandey (Dept. of Physics, Michigan Tech Univ., USA)
Integrated network construction using event based text mining

The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining techniques have been increasingly useful to extract such information from the literature in an automatic way, but up to now the main focus of text mining in the systems biology field has been restricted mostly to the discovery of protein-protein interactions. Here, we take this approach one step further, and use machine learning techniques combined with text mining to extract a much wider variety of interactions between biological entities. Each particular interaction type gives rise to a separate network, represented as a graph, all of which can be subsequently combined to yield a so-called integrated network representation. This provides a much broader view on the biological system as a whole, which can then be used in further investigations to analyse specific properties of the network.
Verification of dose limitation of the general public and determination of lead equivalence of x-ray rooms at Karolinska University Hospital Huddinge

A variety of radiation sources exist at the Department of Radiology and the Department of Nuclear Medicine at Karolinska University Hospital Huddinge. Radiation sources can also be found in areas outside of these departments due to the wide use of mobile xray machines and fluoroscopic c-arm equipment and also due to the movement of patients that have received diagnostic or therapeutic doses of radionuclides.In a proposal for a new legislation from the Swedish Radiation Protection Authority (SSI), which was later issued as legislation SSI FS 2005:6, the effective doses of the general public from a practice using ionising radiation need to be kept below stated limit of 0.1 mSv/year. This project was performed to verify the dose limit for individuals of the general public in the above mentioned practices.Long-term measurements with TL-dosimeters were utilised to carry out the environmental monitoring of the areas throughout the Departments of Radiology and Nuclear Medicine. To assess the contribution of ionising radiation from rooms housing mobile fluoroscopic c-arm equipment to surrounding areas, a tissue equivalent phantom of size (30×30×20 cm3) was employed to simulate a patient and the scattered radiation was monitored by using area monitors, such as portable proportional counters. The annual effective doses were calculated in terms of personal dose equivalent as well as ambient dose equivalent monitored using TL-dosimeters and area monitors, respectively. The stated limit of 0.1 mSv/year to the general public was verified by risk analysis.An attempt to create a method for determining the amount of radiation shielding in terms of lead equivalence in walls, doors, protective glasses of manoeuvre rooms and cupboards of diagnostic x-ray labs was also performed using a radiation point source of 99mTc and a NaI scintillation detector. Depending on the accuracy in the measurements the amount of lead deviated slightly from the expected 2 mm value based on the former legislation SSI FS 1991:1.
Interplay of Tactile and Visual Guidance Cues under Multimodal Workload

Modern user interfaces – computerized, complex and time-critical – increasingly support users who multi-task; yet to do this well, we need a better understanding of how computer-user communication degrades with demand on user attention, and the benefits and risks of introducing new display modalities into high-demand environments, Touch can be a natural and intuitive locus of information exchange and is an obvious candidate for offloading visual and/or auditory channels. In this study we compared salience-calibrated tactile, visual and multimodal navigation cues during a driving-like task, and examined the effectiveness and intrusiveness of the navigation signals while varying cognitive workload and masking of task cues. We found that participants continued to utilize haptic navigation signals under high workload, but their usage of visual and reinforced multimodal navigation cues degraded; further, the reinforced cues under high cognitive workload disrupted the visual primary task. While multimodal cue reinforcement is generally considered a positive interface design practice, these results demonstrate a different view: dual-modality cues can cross a distraction threshold in high-workload environments and lead to overall performance degradation. Conversely, our results indicate that tactile signals can be a robust, intuitive and non-intrusive way to communicate information to a user performing a visual primary task.
IoTMarketplace : Informing Purchase Decisions with Risk Communication

It is common for people to declare that online privacy is important, to indicate that it is valuable, and to simultaneously behave in a manner inconsistent with these expressed preferences. This discrepancy between users’ concerns and their behavior has been explained by three factors: information asymmetry, bounded rationality, and psychological biases. The conflict between expressions of concern and purchase decisions is amplified as the Internet of Things brings the potential for real-time multimedia surveillance, even at home. But there is not empirical evidence that privacy or security influence purchase decisions about IoT devices. In this work, we design an interface for an Internet of Things (IoT) Marketplace that enables participants to make more privacy aware purchases by addressing three of the factors that are associated with the privacy paradox. We then conduct a between subjects experiment to test the effect of the interaction on product selection. The results from this experiment show that when participants are presented with an interface that addresses all three factors, they purchase IoT devices that are more privacy preserving even if they have to pay a premium to do so. The results also show that when participants are presented only with privacy indicators they do not consistently make privacypreserving device choices if the psychological biases affecting users’ decision making are not also addressed by interaction
CPSC 490 : Construction of a low cost anisotropic texture extraction apparatus L uke C artwright

In this paper we will present a method for anisotropic texture extraction that uses for hand / low precision rotation, greatly reducing the cost of capturing such information. This extends upon previous methods of low cost isotropic texture extraction with a simple, universally applicable algorithm. Our method is able to determine the angle of rotation of a sample to within 0.024 ± 0.019 of a degree, for a maximum pixel mis-alignment of 0.15 pixels. By taking multiple images at different, measurable angles we can capture the anisotropic behaviour of a sample.
Estimating RNA-binding protein co-binding networks using Gaussian graphical models

The role of RNA-binding proteins (RBPs) in disease is growing among genomics researchers [1]. While traditionally, transcription has been thought of as the focal point of gene regulation, post-transcriptional modifications have recently emerged as a salient component in regulatory dynamics and have been implicated in many disease pathways [2]. Understanding how RBPs interact with one another is an important step in building our knowledge of RBP regulatory programs. While some methods have been developed to construct RBP binding networks [3,4,5,6], the Gaussian graphical model is unvisited within this specific context. Gaussian graphical models (also known as partial correlation networks) are powerful in that they estimate correlations between variables based on their relationships with all other variables, and thus present themselves as prime candidates for constructing RBP co-binding networks, which commonly involve complex interactions with many partners [7]. Here, we describe a method and supply code for estimating co-binding networks directly from RBP binding experiments. Using the most up-to-date data from the ENCODE consortium in two cancer cell lines (HepG2 and K562), we experimented with various approaches and ultimately develop a flexible pipeline that can produce co-binding graphs, and demonstrate that many of the predicted co-binding partners have been endorsed by the existing literature. We present a transparent, user-friendly R package to efficiently construct and evaluate RBP co-binding networks, which is available for public use. The application of graphical models to the problem of estimating RBP interactions appears to be effective, and encourages further investigation into the use of such methods for the study of RBP behavior.
Monitoring the Relevance of Predictors for a Model Over Time

This paper presents a novel approach to monitor model performance over time. Instead of monitoring accuracy of prediction or conformity of predictors’ marginal distributions, this approach watches for changes in the joint distribution of the predictors. Mathematically, the model predicted outcome is a function of the predictors’ values. Therefore, the predicted outcomes contain intricate information about the joint distribution of the predictors. This paper proposes a simple metric that is coined the Feature Contribution Index. Computing this index requires only the predicted target values and the predictors’ observed values. Thus, we can assess the health of a model as soon as the scores are available and raise our readiness for preemptive actions long before the target values are eventually observed. This index is model neutral because it works for any types of models that contain categorical or continuous predictors, and models that generate predicted values or probabilities. Models can be monitored in near real time since the index is computed using simple and time-matured algorithms that can be run in parallel. Finally, it is possible to provide statistical control limits on the index. These limits help foretell whether a particular predictor is a plausible culprit in causing the deterioration of a model’s performance over time.
Current Concepts Neural Interfaces for Control of Upper Limb Prostheses : The State of the Art and Future Possibilities

Current treatment of upper limb amputation restores some degree of functional ability, but this ability falls far below the standard set by the natural arm. Although acceptance rates can be high when patients are highly motivated and receive proper training and care, current prostheses often fail to meet the daily needs of amputees and frequently are abandoned. Recent advancements in science and technology have led to promising methods of accessing neural information for communication or control. Researchers have explored invasive and noninvasive methods of connecting with muscles, nerves, or the brain to provide increased functionality for patients experiencing disease or injury, including amputation. These techniques offer hope of more natural and intuitive prosthesis control, and therefore increased quality of life for amputees. In this review, we discuss the current state of the art of neural interfaces, particularly those that may find application within the prosthetics field. PM R 2011;3:55-67
Preparing Content Area Teachers for Disciplinary Literacy

R scholarship on secondary reading calls for a shift from teaching generic literacy strategies to teaching disciplinespecific language and literacy practices (Fang & Coatoam, 2013 ). This call reflects the growing recognition that literacy instruction in the content areas should aim to promote the development of students’ ability to engage in social, semiotic, and cognitive practices compatible with those undertaken by disciplinary experts and that such advanced literacy development work is best done in the context of disciplinary learning and socialization. An emphasis on disciplinary literacy presents new challenges for teacher education because it requires deep understanding of both disciplinary content and disciplinary habits of mind. Few content area teacher educators (CTEs) or literacy teacher educators (LTEs) have been trained to be specialists in both domains, however. This augurs the need for LTEs to collaborate with CTEs and to restructure their content area literacy course. This column identifies some of the roles that LTEs can play in this important endeavor.
Dynamic Throughput Allocation among Multiple Servers for Heterogeneous Storage System

Previous works have studied the throughput allocation of the heterogeneous storage system consisting of SSD and HDD in the dynamic setting where users are not all present in the system simultaneously, but those researches make multiple servers as one large resource pool, and cannot cope with the multi-server environment. We design a dynamic throughput allocation mechanism named DAM, which can handle the throughput allocation of multiple heterogeneous servers in the dynamic setting, and can provide a number of desirable properties. The experimental results show that DAM can make one dynamic throughput allocation of multiple servers for making sure users’ local allocations in each server, and can provide one efficient and fair throughput allocation in the whole system. key words: dynamic throughput allocation, multiple servers, heterogeneous storage system, fair, efficient
EVS 24 Stavanger , Norway , May 13-16 , 2009 Cost Benefit Analysis of Advanced Powertrains from 2010 to 2045

Through its Office of Planning, Budget and Analysis, the U.S. DOE Energy Efficiency and Renewable Energy (EERE) provides estimates of program benefits in its annual Congressional Budget Request. The Government Performance and Results Act (GPRA) of 1993 provides the basis for assessing the performance of Federally funded programs. Often referred to as "GPRA Benefits Estimates," these estimates represent one piece of EERE's GPRA implementation efforts—documenting some of the economic, environmental, and security benefits (or outcomes) from achieving program goals. PSAT, Argonne National Laboratory’s vehicle system analysis tool, was used to evaluate the fuel economy of numerous vehicle configurations (including conventional, Hybrid Electric Vehicles (HEVs), Plug-in HEVs, electric), component technologies (gasoline, diesel, hydrogen engines as well as fuel cell) and timeframes (current, 2010, 2015, 2030 and 2045). The uncertainty of each technology is taken into account by assigning probability values for each assumption.
Market Accessibility , Corporate Bond ETFs , and

I provide evidence that market accessibility ex ante plays an important role in how the underlying assets’ liquidity changes when a basket security is introduced. First, using a multi-market version of the Kyle model, I show that if the underlying market is less accessible, then trading basket securities improves liquidity in the underlying market. In contrast, if the underlying market is more accessible, liquidity deteriorates. Second, I test the theoretical predictions using data on corporate bonds before and after the introduction of corporate bond ETFs. I find that in contrast to the stock market, the inception of corporate bond ETFs improves the liquidity of the underlying bonds. This liquidity improvement is larger for low volume, high yield, and long term bonds and for 144A bonds to which access was previously difficult for retail investors. JEL classification: G14; G19
HYBRID FREQUENCY-TIME DOMAIN METHOD FOR THREE-DIMENSIONAL SEISMIC ANALYSES OF NONLINEAR SOILS

The simulation of the behavior of soil-structure interaction (SSI) systems subjected to seismic waves can be conveniently carried out in the frequency domain, to account for the frequency-dependent properties of the infinite soil. However, the soil exhibits nonlinear behavior even at small values of the strain level, so that its shear modulus and damping ratio vary as a functions of the strain. It is important to consider the strainand frequency-dependent properties of the soil in a seismic SSI simulation. Since frequency domain (FD) analyses are not suitable for nonlinear systems, time domain (TD) integration algorithms are commonly adopted. An accurate way of including the frequency-dependent soil into a transient analysis is to use convolution integrals, which requires linearity of the system and leads to a high computational cost. Hybrid frequency–time domain (HFTD) methods represent an efficient alternative. Most of the existing HFTD methods idealize the soil behavior according to the one-dimensional (1D) wave propagation theory, which is a major simplification of the complex three dimensional (3D) theory. In this contributions we present a HFTD method, where the soil is described as a 3D continuum governed by Lamé’s equation of elastodynamics and the problem is solved with the integral transform method (ITM). The shear modulus and the damping of the soil are nonlinear functions of the strain level. The seismic waves (the loading) can be represented by spatial waves with an arbitrary distribution in time and space. The response of the soil to the seismic waves is first solved in the FD assuming a linearized elastic soil subjected to input waves, the response is transformed into the TD and the maximum strain is evaluated at different depths. According to the maximum strain, the shear modulus and the damping at different depths is updated and the process is iterated until convergence. The proposed method is compared to the reference 1D nonlinear method and it is applied for a multi-dimensional analysis of a nonlinear soil. The limitations of the method are also described.
DROUGHT MONITORING USING SELF-CALIBRATING PALMER ’ S INDICES IN THE SOUTHWEST OF ROMANIA

The Palmer Drought Severity Index (PDSI) has been used for more than 30 years to quantify the long-term drought conditions for a given location and time. The recently introduced selfcalibrating Palmer Drought Severity Index, scPDSI and self-calibrating Palmer Hydrological Drought Index, scPHDI are a convenient means of describing the spatial and temporal variability of hydrometeorological drought. The analysis of this index was done for the southwestern part of Romania, for the period 1961–2005, evaluating the drought and testing the applicability of the self-calibrating Palmer’s indices for Romanian area.
Sensitivity Analysis and Modeling the Impact of Screening on the Transmission Dynamics of Human Papilloma Virus (HPV)

In this paper, a mathematical model on the Human Papilloma Virus (HPV) governed by a system of ordinary differential equations is developed. The aim of this study is to investigate the role of screening as a control strategy in reducing the transmission of the disease. It is shown that a solution for the system of model equations exists and is unique. Further, it is shown that the solution is both bounded and positive. Hence, it is claimed that the model developed and presented in this paper is biologically meaningful and mathematically valid. The model is analyzed qualitatively for verifying the existence and stability of disease free and endemic equilibrium points using threshold parameter that governs the disease transmission. Furthermore, sensitivity analysis is performed on the key parameters driving Human Papilloma Virus and to determine their relative importance and potential impact on the dynamics of Human Papilloma Virus. Numerical result shows that Human Papilloma Virus infection is reduced using screening strategies. Due to the presence of interventions, the number of susceptible cells decreases implying that, most of the susceptible cells are screened. Similarly, the number of unaware infected cells decreases. This happens because unaware cells become aware after screening. The screened infected cells initially increase and then start to diminish after the equilibrium point. This is because many people from screened class recovered through treatment. Also, the number of cells with cancer decreases and this may be due to disease induced death. Furthermore, the number of recovered cells increases because there are two ways of recovering, through immune system or treatment. With =0.5677, implies that screening can reduce the transmission of the disease in the population when <1.