Miracle-dz/UniFAR-FTUs huggingface dataset:
Asymmetric gate capacitance and dynamic characteristic fluctuations in 16 nm bulk MOSFETs due to random distribution of discrete dopants

Characteristic variability of a transistor is a crucial issue for nanoscale metal-oxide-semiconductor field-effect transistors (MOSFETs). In this study, we explore the asymmetric sketch of the random dopant distribution near the source end and the drain end in 16 nm MOSFETs. Discrete dopants near the source and drain ends of the channel region induce rather different fluctuations in gate capacitance and dynamic characteristics. Based upon the observed asymmetry properties, a lateral asymmetry channel doping profile engineering is then proposed to suppress the random-dopant-induced characteristic fluctuations in the examined devices and circuits. The results of this study indicate that the fluctuations in average gate capacitance, circuit gain, 3 db bandwidth and unity-gain bandwidth for the cases with dopants near the drain side could be simultaneously reduced by 62.6%, 22.2%, 63.1% and 41.4%, respectively. Consequently, such a lateral asymmetry channel doping profile could be considered to design intrinsic parameter fluctuation resistant transistors.
An Acoustical Assessment of the Music Memory in Commercially Available Hearing Aids

Hearing aids amplify speech-input signals using nonlinear amplification (i.e., wide dynamic range compression). When WDRC is used to process a music-input signal, listener’s report a negative aided listening experience. To circumvent this negative experience, hearing aids allow for music-input stimuli to be processed using a modified frequency-gain response, known as a memory or program. The music memory, in general, processes the input signal using a linear-like frequency-gain response, elevated output, or both. Increasing gain and output, we conjecture, has the potential to place the wearer at-risk (i.e., ≥85 Leq dBA) for Hearing-aid-induced hearing loss (HAIHL). We assessed the potential of this risk in two experiments. In Experiment I, 2-cc coupler gain was determined in three commercially available receiver-in-the ear/receiver-in-the-canal (RITE/RIC) hearing aids. Coupler gain responses were determined for a composite signal presented at 65 and 100 dB SPL for the WDRC memory and music memory, and for different degrees of occlusion. Results from this experiment were reported qualitatively. In Experiment II, the same three devices were fit on an acoustical manikin. Recordings of 10 musical passages were obtained for the same two memories, adjusted for the degree of occlusion at three presentation levels (i.e., 85-, 94-, and 103-dB SPL). Analyses of the recordings revealed that two devices programed in the music mode exceeded the at-risk threshold at presentation levels of 94- and 103-dB SPL. In addition, the same two devices programmed in WDRC exceeded the at-risk threshold at a presentation level of 103-dB SPL. Implications and future directions are discussed.
Linear Perturbation Amplication in Self-Similar Ablation Flows of ICF

The stability of an ablative o w is of importance in inertial connemen t fusion (ICF). Here, we exhibit a family of exact self-similar solutions of the gas dynamics equations with nonlinear heat conduction for semi-innite slabs of perfect gases. Such self-similar solutions which arise for particular but realistic initial and boundary conditions| boundary pressure and incoming heat ux follow time power laws|are representative of the early stage of the ablation of a pellet by a laser, where a shock wave propagates upstream of a thermal front. Following the work of Boudesocque-Dubois et al. [1, 2], these solutions are computed using a dynamical multidomain Chebyshev pseudospectral method [3]. A wide variety of ablation congurations may thus be obtained. Linear stability analyses of such time-dependent solutions are performed by solving an initial and boundary value problem for linear perturbations. The numerical methods are based on a dynamical multidomain Chebyshev pseudo-spectral method and an operator splitting between a hyperbolic system and a parabolic equation. Here, focusing on the laser imprint problem, we have considered boundary heat ux perturbations and obtained space-time evolutions of o w perturbations for a wide range of wavenumbers. By contrast with steady low Mach number models of ablation front instabilities, we obtain that: (a) maximum perturbation amplitudes in the thin ablation layer are reached for transverse wavenumber k? = 0, (b) the damping of ablation front perturbations is closely related to thermal diusion, (c) ablation front perturbations seem to persist although the transverse wave number increases, (d) a complex wave-like structure arises between the ablation front and the shock-wave front.
Developing an Efficient Algorithm for ImageFusion Using Dual Tree- Complex WaveletTransform

Image Fusion is an image processing technique for combining data from two or more images of the same frame into a single image which will retain all the important features of the input images. The objective of image fusion includes set of images taken from different domain of the same scene into a single output image which is more informative, valid, reliable and accurate as compared to each source images. Fusion techniques are important in detection and treatment of cancer in medical field, remote sensing and robotics. This paper focuses on developing an image fusion technique using Dual Tree Complex Wavelet Transform. The results showcase that the suggested algorithm has a more desirable visual quality than the base technique. Also the standard of the fused image has been estimated using a set of quality metrics.
Forecasting of a hydropower plant energy production

This thesis presents several machine learning and a few statistical methods applied for time series forecasting. The time series used in this work as a case study is a result of the energy production of two small hydropower plants. The amount of produced energy is measured each hour during almost two years. The hydropower plants are located in Hyen, Western Norway. One of them is located in mountains with rocky ground so it means that the effect of rain should be immediate and short. The other one is located further in the valley with the pond nearby which means that the stream has water almost during all year and the effect of the rain is not that immediate. Forecasting of energy production for such small power plants is an essential tool for ensuring ongoing power supply for user demand, planning of reserve power supply and transaction between power plants. Applying several techniques to the datasets we have tried to determine the best method to build a one-step-ahead prediction model. Also we have been aiming to estimate the impact of different attributes on the forecasting process.
Technology Culture of Mobile Maintenance Men

Technology plays a major role in our life and the role is increasing as a result of fast technological development occurring all the time. Technology’s impact on our everyday life sets new challenges also to designers. In order to design products which are usable. We need to understand technologies and devices we are developing, users of our designed products, and the relationships our users have with different kinds of technologies. User-centred design (UCD) has emerged as a counter part for traditional technology centred product development. UCD emphasizes the role of the users in every phase of product design and development. However, it seems that the users’ relationships with technologies is underestimated and sometimes even forgotten also in UCD. The users’ current tools and technological environment is seen as just surroundings and task related tools instead of as an important factor that affects to users’ actions and opinions. This article presents a case study where mobile IT maintenance men where studied with traditional UCD methods and in addition the user research was deepened with focusing on users’ relationships with technology. The results show that UCD’s methods can miss some critical phenomena relating to users’ relationships with technology and affecting to usability and quality of the developed products. Understanding how users comprehend the technologies they use, i.e. understanding what kind of technology culture the users are a part of, enables designers to better evaluate how well the developed product will fit in the lives of it’s users and what sorts of changes are possibly going to happen or required to happen in order the new product to be included in the users’ technology culture. These kinds of evaluations help the designers to design better products and the companies to better estimate business risks relating to for example technology acceptance. Keywords: Technology Culture, User-Centred Design, User Research, Distributed and Mobile Work
A Comparison of Study Aids on Exam Performance

Data were collected from 453 students enrolled in General Psychology courses over two semesters to evaluate the effectiveness of textbook pedagogical aids. Students who volunteered for a study skills intervention were randomly assigned to either a study skills intervention containing a packet of paper-and-pencil worksheets and online quizzes; or a computer program condition requiring meta-cognition. Performance data via class exams were recorded for both experimental groups. Performance data from students who did not participate in any intervention served as a control group. Longitudinal results indicate that the Packet condition showed an increase in exam scores after the intervention, while the computer Metacognitive Program and control group showed a decrease in exam scores after the intervention. In addition, the Metacognitive Program condition resulted in higher self-reports of program utility compared to the paper-and-pencil condition. Implications of this research suggest that relatively simple instructor intervention may be effective in improving exam grades.
A Review on Gene Expression Studies using Microarray

The aim of this review such technologies allow the analysis of different constituents namely the transcripts, proteins and metabolites of the cell that help to deduce gene function. Microarray is one of the technologies permitting simultaneous interrogation of complex nucleic acid mixtures. The genome-wide examination of gene expression with this technology has provided transcript profiles of numerous biological samples for studying population variations, genotype-phenotype relationships, knock-out pools, whole genome genetic foot printing, and genome mismatch scanning. The information obtained by coupling of a microarray expression database and data analysis and viewing tools can serve as a foundation for proposing hypotheses and performing dedicated research. DNA microarray will substantially increase the speed at which differential gene expression can be analyzed and gene functions are elucidated. DNA microarray technology, however, limits expression studies to the mRNA level. Biological processes regulated at RNA degradation, protein synthesis, protein degradation or protein modification will be inert to the microarray approach. Ideally, it should be accompanied by analyses at the protein level. Keyword: Microarray, cDNA, mRNA, genotype-phenotype relationships
General Equilibrium Analysis of Portfolio Benchmarking

This paper applies a continuous-time model to study the equilibrium of an economy consisting one normal agent and one portfolio benchmarker who has to maintain his intermediate wealth above the maximum of a stochastic benchmark and a constant floor. After characterizing the optimization problems, I use the martingale approach to derive the equilibrium market dynamics in closed-form to compare with the normal economy. In the benchmarking economy before the constraint date, asset price, volatility and risk premium are higher than in the normal economy for very risky benchmarks. When the benchmark is relatively safe, asset price is higher but volatility, risk premium and the optimal fraction of wealth invested in the risky asset are decreased. In both cases, the eects are state- dependent. The derivation of equilibrium also reveals the benchmarker's demand for index options.
- 1101 Dynamic Nanochannels for Biosensing Applications

Dynamic Nanochannels for Biosensing Applications Joseph Oxborrow Department of Electrical and Computer Engineering Master of Science Inexpensive label-free detection of biomarker panels in serum could revolutionize early cancer diagnosis and treatment. Such detection capabilities may be possible with dynamic nanochannels in conjunction with electrical impedance measurement. In Dr. Greg Nordin’s lab I designed, fabricated and tested several iterations of these sensors with polydimethylsiloxane microfluidics. The final design yielded a dynamic nanochannel array sensor that showed a 140% impedance change when exposed to 14μM bovine serum albumin in phosphate buffered saline. For the geometry and noise limits of the tested device, simulations indicated that a minimum detectable concentration of 20pM with specifically bound streptavidin should be possible. However, the polydimethylsiloxane approach is also shown to be problematic in meeting the trade-offs required for a practical device. Consequently, alternative materials and designs are suggested to reduce the minimum detectable concentration to the high femtomolar range, which would be attractive for detection of many medical biomarkers.
Diagnosing Drama: Grey's Anatomy, Blind Casting, and the Politics of Representation

N FEBRUARY 5, 2006 NEARLY THIRTY-EIGHT MILLION VIEWERS CHOSE TO forego post-Super Bowl celebrations in favor of tuning in to a much-hyped episode of ABC’s hit medical melodrama Grey’s Anatomy. The episode thus constitutes ‘‘the best scripted-series performance since the series finale of Friends’’ in 2004 and ‘‘the best performance of an ABC show since an episode of Home Improvement in 1994’’ (‘‘Grey’s Scores Big’’). Grey’s Anatomy and its multiracial ensemble stand in marked contrast to the all-white casts of both aforementioned shows, a fact that has not been lost on media observers. When civil rights groups issued their annual ‘‘diversity report cards’’ for 2006, ABC garnered the highest overall grade of the four major networks (an A-), thanks in part to shows like Grey’s Anatomy, Lost, and Ugly Betty (‘‘Grey’s Leads Charge’’). Its diverse cast and the production practices through which it was assembled have been the major focus of the media attention conferred upon Grey’s, second only to stories concerning the colossal audiences it routinely snags. 1 The show’s creator, Shonda Rhimes (currently the only African American woman ‘‘showrunner’’ in network television), gives the credit for her show’s diversity to her ‘‘race-blind’’ casting methods. In her Time Magazine profile of the writer and producer, Jeanne McDowell notes that ‘‘[Rhimes’] script for the pilot had no physical descriptions [of its characters] other than gender,’’ a statement repeated in almost all of the popular press coverage the show receives. 2 As Rhimes herself affirmed in an interview with Oprah Winfrey, ‘‘We really read every color actor for every single part. And . I was lucky because the
International Conference on Information Systems ( ICIS ) December 2003 Links Are Everywhere : Effects of Web-Based Groupings on Trust Transfer

One of the most ubiquitous examples of information technology is the World Wide Web. On the Web, hypertext links are everywhere, but trust may be hard to find. This research examines how the presentation of groups of links may affect consumers’ trust in organizations encountered on the Web. We use an experimental methodology to examine how the description of a hypertext list and the familiarity of members of the list may affect trust in both familiar and unknown target organizations. Our theoretical model is rooted in the literatures on trust transfer and entitativity, which is the extent to which individual entities are perceived as forming a group. Results are expected to answer practical questions with regard to the use and presentation of hypertext links and also to extend the trust transfer literature by examining factors not previously considered: superdyadic transfer and potential negative effects of transfer.
Mixing of Co-Axial Streams: Effects of Operating Conditions

Present study reports the effects of operating conditions on the mixing of two co-axial streams. Produced mixing layers between the co-axial streams are investigated numerically in the developing regions. Closed form governing equations of the mixing layer flow are solved using Fully Implicit Numerical Scheme (FINS) and Tridiagonal Matrix Algorithm (TDMA). Calculations are made for the mean and turbulence properties, and spatial mixing deficiency (SMD). Obtained results show that increase in flow width does not correspond to increase in spatial mixing while increased level of centerline velocity, centerline concentration, mean vorticity, turbulent shear stress and turbulent kinetic energy (TKE) corresponds to increase in spatial mixing.
Artificial neural networks applications in building energy predictions and a case study for tropical climates

This study presents artificial neural network (ANN) methods in building energy use predictions. Applications of the ANN methods in energy audits and energy savings predictions due to building retrofits are emphasized. A generalized ANN model that can be applied to any building type with minor modifications would be a very useful tool for building engineers. ANN methods offer faster learning time, simplicity in analysis and adaptability to seasonal climate variations and changes in the building's energy use when compared to other statistical and simulation models. The model herein is presented for predicting chiller plant energy use in tropical climates with small seasonal and daily variations. It was successfully created based on both climatic and chiller data. The average absolute training error for the model was 9.7% while the testing error was 10.0%. This indicates that the model can successfully predict the particular chiller energy consumption in a tropical climate. Copyright © 2005 John Wiley & Sons, Ltd.
Organic Carbon and Organic Matter Levels in Sediments of the Strait of Hormoz, the Persian Gulf

Total organic carbon has a major influence on both the chemical and biological processes that take place in sediments. Algal bloom is one of the organic carbon levels in aquatic ecosystems. In 2009 algal bloom occurred in the Hormozgan province and prolonged for months, which finally setteled down in 2010. In this study the variations of total organic carbon (TOC), organic matter (TOM) and total nitrogen (TN) contents, and the carbon-nitrogen ratio in superficial sediments collected from 33 stations at the Strait of Hormuz were investigated. Sampling was performed at the depths of 14 to 59 meters in spring of 2010 after sinking algal bloom in the area. The TOC content in the surface sediments revealed values in the range of 0.5 up to 3.5 % (mean 2 %, median 2.2 %, standard deviation 1.3%). The values generally highlighted a gradient increasing with distance from the Strait of Hormoz. According to the standards of Environmental Protection Agency of United State, the organic carbon concentrations in the analyzed sediments were in the range of sediments with low to medium organic carbon level. Organic matter levels were in the range of 4.4 to 10 % (mean 7.3 %). Statistical analysis demonstrated that there were no significant differences between the stations. According to Pearson correlation, total organic matter and organic carbon had significant correlation with each other (R2=0.81, P=0.01). Results showed that deeper parts had relatively higher organic carbon level (R2=0.66, P=0.05). Our investigation showed that the accumulation pattern of organic carbon depended on the grain size of the sements. The stations with higher percent of silt and clay had higher organic carbon. The results revealed that organic carbon level has increased in resent years, which can influence on the potential of methylation and accumulation of metals in sediment. In this study the TOC/TN ratio for 33 sediments were between 3 and 8, which demonstrated that the source of organic carbon could be related to the recent algal bloom.
SDSS J105754.25+275947.5 : a period-bounce eclipsing cataclysmic variable with the lowest-mass donor yet measured

We present high-speed, multicolour photometry of the faint, eclipsing cataclysmic variable (CV) SDSS J105754.25+275947.5. The light from this system is dominated by the white dwarf. Nonetheless, averaging many eclipses reveals additional features from the eclipse of the bright spot. This enables the fitting of a parametrized eclipse model to these average light curves, allowing the precise measurement of system parameters. We find a mass ratio of q = 0.0546 ± 0.0020 and inclination i = 85.74 ± 0.21°. The white dwarf and donor masses were found to be Mw = 0.800 ± 0.015 M⊙ and Md = 0.0436 ± 0.0020 M⊙, respectively. A temperature Tw = 13300 ± 1100 K and distance d = 367 ± 26 pc of the white dwarf were estimated through fitting model atmosphere predictions to multicolour fluxes. The mass of the white dwarf in SDSS 105754.25+275947.5 is close to the average for CV white dwarfs, while the donor has the lowest mass yet measured in an eclipsing CV. A low-mass donor and an orbital period (90.44 min) significantly longer than the period minimum strongly suggest that this is a bona fide period-bounce system, although formation from a white dwarf/brown dwarf binary cannot be ruled out. Very few period-minimum/period-bounce systems with precise system parameters are currently known, and as a consequence the evolution of CVs in this regime is not yet fully understood.
Miniaturized LTCC Bandpass Filter with Harmonic Suppression

─ This paper presents a harmonicsuppressed bandpass filter using a 3-dimensional (3-D) half-wavelength transmission line resonator, which is fabricated using low temperature co-fired ceramic (LTCC) technology. Owing to the distributed-element method in this 3-D design, the spurlines can be easily etched on the coupled feed lines to generate an extra transmission zero in the stopband without enlarging the circuit size. As a result, the second harmonic can be rejected to a great extent. For demonstration, a pair of two-order LTCC bandpass filters centered at 2.45 GHz with/without spurlines are designed using the compact 3-D resonator, and the size of the circuits is only 4.4×4.2×1.6 mm3. Index Terms ─ Harmonic suppression, LTCC, spurline, transmission zero.
Buckling Analysis of Non-Local Timoshenko Beams by Using Fourier Series

In this study, buckling analysis of a nano sized beam has been performed by using Timoshenko beam theory and Eringen’s nonlocal elasticity theory. Timoshenko beam theory takes into account not only bending moment but also shear force. Therefore, it gives more accurate outcomes than Euler Bernoulli beam theory. Moreover, Eringen’s nonlocal elasticity theory takes into account the small scale effect. Thus, these two theories are utilized in this study. The vertical displacement function is chosen as a Fourier sine series. Similarly, the rotation function is chosen as a Fourier cosine series. These functions are enforced by Stokes’ transformation, and higher order derivatives of them are obtained. These derivatives are written in the governing equations for the buckling of nonlocal Timoshenko beams. Hence Fourier coefficients are acquired. Subsequently boundary condition of established beam model is identified with Timoshenko beam and Eringen’s nonlocal elasticity theories, and the linear equations are obtained. A coefficients matrix is created by utilizing these linear systems of equations. When determinant of this coefficient matrix is calculated, the critical buckling loads are acquired. Finally, achieved outcomes are compared with other studies in the literature. Calculated results are also presented in a series of figures and tables