Miracle-dz/UniFAR-FTUs huggingface dataset:
Calculation of second-order optical response in semiconductors.

We present a first-principles calculation of two second-order optical response functions as well as the dielectric function for GaAs and GaP. Specifically, we evaluate the dielectric function \ensuremath{\epsilon}(\ensuremath{\omega}) and the second-harmonic generation response coefficient ${\mathrm{\ensuremath{\chi}}}^{(2)}$(-2\ensuremath{\omega};\ensuremath{\omega},\ensuremath{\omega}) over a large frequency range. The electronic linear electro-optic susceptibility ${\mathrm{\ensuremath{\chi}}}^{(2)}$(-\ensuremath{\omega};\ensuremath{\omega},0) is also evaluated below the band gap. These results are based on a series of self-consistent LDA calculations using the full-potential linearized augmented plane wave method. Self-energy corrections are included at the level of the ``scissors'' approximation, which corrects for the underestimation of the local density approximation band gap and produces a change in the velocity matrix elements. The analytic expressions for the second-order response functions are free of the unphysically divergent terms at zero frequency that have previously plagued such calculations. Results for ${\mathrm{\ensuremath{\chi}}}^{(2)}$(-\ensuremath{\omega};\ensuremath{\omega},0) are in good agreement with experiment below the band gap and those for ${\mathrm{\ensuremath{\chi}}}^{(2)}$(-2\ensuremath{\omega};\ensuremath{\omega},\ensuremath{\omega}) are compared with experimental data where available. We note that despite the equivalence of both of these second-order response functions at zero frequency, there seems to be some discrepancy between the experimental results for these functions in this regime. \textcopyright{} 1996 The American Physical Society.
The oxidative debt of fasting: evidence for short- to medium-term costs of advanced fasting in adult king penguins

ABSTRACT In response to prolonged periods of fasting, animals have evolved metabolic adaptations helping to mobilize body reserves and/or reduce metabolic rate to ensure a longer usage of reserves. However, those metabolic changes can be associated with higher exposure to oxidative stress, raising the question of how species that naturally fast during their life cycle avoid an accumulation of oxidative damage over time. King penguins repeatedly cope with fasting periods of up to several weeks. Here, we investigated how adult male penguins deal with oxidative stress after an experimentally induced moderate fasting period (PII) or an advanced fasting period (PIII). After fasting in captivity, birds were released to forage at sea. We measured plasmatic oxidative stress on the same individuals at the start and end of the fasting period and when they returned from foraging at sea. We found an increase in activity of the antioxidant enzyme superoxide dismutase along with fasting. However, PIII individuals showed higher oxidative damage at the end of the fast compared with PII individuals. When they returned from re-feeding at sea, all birds had recovered their initial body mass and exhibited low levels of oxidative damage. Notably, levels of oxidative damage after the foraging trip were correlated to the rate of mass gain at sea in PIII individuals but not in PII individuals. Altogether, our results suggest that fasting induces a transitory exposure to oxidative stress and that effort to recover in body mass after an advanced fasting period may be a neglected carryover cost of fasting. Summary: Fasting induces a transitory exposure to oxidative stress, and effort to recover in body mass after an advanced fasting period may be a neglected carryover cost of fasting in king penguins.
Evolution of the genetic code in yeasts

During the last 30 years, a number of genetic code alterations have been uncovered in bacteria and in the mitochondria and cytoplasm of various eukaryotes, invalidating the hypothesis that the genetic code is universal and frozen. In the mitochondria of most yeasts, the UGA stop codon is decoded as tryptophan and the four leucine codons of the CUN family (N = any nucleotide) are decoded as threonine. Recently, a unique genetic code change involving the decoding of the leucine CUG codon as serine was discovered in the cytoplasm of Candida and Debaryomyces species, indicating that the genetic code of yeasts may be under specific evolutionary pressures whose molecular nature is not yet fully understood. This genetic code alteration is mediated by a novel serine‐tRNA that acquired a leucine 5′‐CAG‐3′ anticodon (ser‐tRNACAG) through insertion of an adenosine in the intron of its gene. This event, which occurred 272 ± 25 million years ago, reprogrammed the identity of approximately 30 000 CUG codons existent in the ancestor of these yeasts and had a profound impact on the evolution of the genus Candida and of other species. Here, we review the most recent results and concepts arising from the study of this genetic code change and highlight how its study is changing our views of the evolution of the genetic code. Copyright © 2006 John Wiley & Sons, Ltd.
Data Selection Strategies for Multi-Domain Sentiment Analysis

Domain adaptation is important in sentiment analysis as sentiment-indicating words vary between domains. Recently, multi-domain adaptation has become more pervasive, but existing approaches train on all available source domains including dissimilar ones. However, the selection of appropriate training data is as important as the choice of algorithm. We undertake -- to our knowledge for the first time -- an extensive study of domain similarity metrics in the context of sentiment analysis and propose novel representations, metrics, and a new scope for data selection. We evaluate the proposed methods on two large-scale multi-domain adaptation settings on tweets and reviews and demonstrate that they consistently outperform strong random and balanced baselines, while our proposed selection strategy outperforms instance-level selection and yields the best score on a large reviews corpus.
Exfoliated oxide nanosheets: new solution to nanoelectronics

Two-dimensional (2D) nanosheets obtained via exfoliation of layered compounds have attracted intense research in recent years. In particular, the development of exotic 2D systems such as stable graphene and transition-metal oxide nanosheets has sparked new discoveries in condensed matter physics and nanoelectronics. Here, we review the progress made in the synthesis, characterization and properties of oxide nanosheets, highlighting emerging functionalities in electronic and spin-electronic applications. We also present a perspective on the advantages offered by this class of materials for future nanotechnology.
Re-evaluation of pathogens causing Valsa canker on apple in China

Valsa canker is a destructive disease on apple that causes serious economic losses in eastern Asia. In the present study fungal isolates from cankered apple and pear bark were examined and compared with morphology and rDNA-ITS sequences. Valsa mali was confirmed to be an independent species and a causal pathogen of Valsa canker on apple and pear in China. It was the predominant species (96.7% of isolates) on apple and was complemented by V. malicola (3.3% of isolates). Significant intraspecific genetic differentiation was detected in V. mali with two varieties recognized, V. mali var. mali occurring exclusively on apple and V. mali var. pyri occurring on both apple and pear. Results from genetic analysis and cross-inoculation tests provided support for the hypothesis that host preference probably catalyzed such genetic changes within the pathogen populations.
ESFuelCell 2011-54507 MULTIVARIATE AND MULTIMODAL WIND DISTRIBUTION MODEL BASED ON KERNEL DENSITY ESTIMATION

This paper presents a new method to accurately characterize and predict the annual variation of wind conditions. Estimation of the distribution of wind conditions is necessary (i) to quantify the available energy (power density) at a site, and (ii) to design optimal wind farm configurations. We develop a smooth multivariate wind distribution model that captures the coupled variation of wind speed, wind direction, and air density. The wind distribution model developed in this paper also avoids the limiting assumption of unimodality of the distribution. This method, which we call the Multivariate and Multimodal Wind distribution (MMWD) model, is an evolution from existing wind distribution modeling techniques. Multivariate kernel density estimation, a standard non-parametric approach to estimate the probability density function of random variables, is adopted for this purpose. The MMWD technique is successfully applied to model (i) the distribution of wind speed (univariate); (ii) ∗Doctoral Student, Multidisciplinary Design and Optimization Laboratory, Department of Mechanical, Aerospace and Nuclear Engineering, ASME student member. †Distinguished Professor and Department Chair. Department of Mechanical and Aerospace Engineering, ASME Fellow. Corresponding author. ‡Associate Professor, Department of Mechanical Aerospace and Nuclear Engineering. the distribution of wind speed and wind direction (bivariate); and (iii) the distribution of wind speed, wind direction, and air density (multivariate). The latter is a novel contribution of this paper, while the former offers opportunities for validation. Ten-year recorded wind data, obtained from the North Dakota Agricultural Weather Network (NDAWN), is used in this paper. We found the coupled distribution to be multimodal. A strong correlation among the wind condition parameters was also observed.
The Effect of Polyurethane Composition and Processing History on Mechanical Properties

Uniaxial stress‐strain behavior of a wide range of polyurethane elastomers was compared with current models of rubber‐like elasticity. Although the data could be described well by a semi‐empirical model, a systematic discrepancy was observed with more theoretically based models. This took the form of an additional energy term during deformation, which depended on the polyurethane composition. Microdomain fragmentation may provide a possible explanation. Alternatively, it may be due to the effects of segmental interactions on the relaxation of polymer chain entanglements during deformation.
On the Notion of an Automorphic Representation

The irreducible representations of a reductive group over a local field can be obtained from the square-integrable representations of Levi factors of parabolic subgroups by induction and formation of subquotients [2], [4]. Over a global field F the same process leads from the cuspidal representations, which are analogues of square-integrable representations, to all automorphic representations. Suppose P is a parabolic subgroup of G with Levi factor M and σ = ⊗ σv a cuspidal representation of M(A). Then Indσ = ⊗ v Indσv is a representation of G(A) which may not be irreducible, and may not even have a finite composition series. As usual an irreducible subquotient of this representation is said to be a constituent of it. For almost all v, Indσv has exactly one constituent π◦ v containing the trivial representation of G(Ov). If Indσv acts on Xv then π◦ v can be obtained by taking the smallest G(Fv)invariant subspace Vv of Xv containing nonzero vectors fixed by G(Ov) together with the largest G(Fv)-invariant subspace Uv of Vv containing no such vectors and then letting G(Fv) act on Vv/Uv.
Who Are the Young People Choosing Web-based Mental Health Support? Findings From the Implementation of Australia's National Web-based Youth Mental Health Service, eheadspace

Background The adolescent and early adult years are periods of peak prevalence and incidence for most mental disorders. Despite the rapid expansion of Web-based mental health care, and increasing evidence of its effectiveness, there is little research investigating the characteristics of young people who access Web-based mental health care. headspace, Australia’s national youth mental health foundation, is ideally placed to explore differences between young people who seek Web-based mental health care and in-person mental health care as it offers both service modes for young people, and collects corresponding data from each service type. Objective The objective of this study was to provide a comprehensive profile of young people seeking Web-based mental health care through eheadspace (the headspace Web-based counseling platform), and to compare this with the profile of those accessing help in-person through a headspace center. Methods Demographic and clinical presentation data were collected from all eheadspace clients aged 12 to 25 years (the headspace target age range) who received their first counseling session between November 1, 2014 and April 30, 2015 via online chat or email (n=3414). These Web-based clients were compared with all headspace clients aged 12 to 25 who received their first center-based counseling service between October 1, 2014 and March 31, 2015 (n=20,015). Results More eheadspace than headspace center clients were female (78.1% compared with 59.1%), and they tended to be older. A higher percentage of eheadspace clients presented with high or very high levels of psychological distress (86.6% compared with 73.2%), but they were at an earlier stage of illness on other indicators of clinical presentation compared with center clients. Conclusions The findings of this study suggest that eheadspace is reaching a unique client group who may not otherwise seek help or who might wait longer before seeking help if in-person mental health support was their only option. Web-based support can lead young people to seek help at an earlier stage of illness and appears to be an important component in a stepped continuum of mental health care.
Influence of the Near Molecular Vicinity on the Temperature Regulated Fluorescence Response of Poly(N-vinylcaprolactam)

A series of new fluorescent dye bearing monomers, including glycomonomers, based on maleamide and maleic esteramide was synthesized. The dye monomers were incorporated by radical copolymerization into thermo-responsive poly(N‑vinyl-caprolactam) that displays a lower critical solution temperature (LCST) in aqueous solution. The effects of the local molecular environment on the polymers’ luminescence, in particular on the fluorescence intensity and the extent of solvatochromism, were investigated below as well as above the phase transition. By attaching substituents of varying size and polarity in the close vicinity of the fluorophore, and by varying the spacer groups connecting the dyes to the polymer backbone, we explored the underlying structure–property relationships, in order to establish rules for successful sensor designs, e.g., for molecular thermometers. Most importantly, spacer groups of sufficient length separating the fluorophore from the polymer backbone proved to be crucial for obtaining pronounced temperature regulated fluorescence responses.
Towards End-to-End Car License Plates Detection and Recognition with Deep Neural Networks

In this work, we tackle the problem of car license plate detection and recognition in natural scene images. We propose a unified deep neural network which can localize license plates and recognize the letters simultaneously in a single forward pass. The whole network can be trained end-to-end. In contrast to existing approaches which take license plate detection and recognition as two separate tasks and settle them step by step, our method jointly solves these two tasks by a single network. It not only avoids intermediate error accumulation, but also accelerates the processing speed. For performance evaluation, three datasets including images captured from various scenes under different conditions are tested. Extensive experiments show the effectiveness and efficiency of our proposed approach.
High-performance dispenser printed MA p-type Bi(0.5)Sb(1.5)Te(3) flexible thermoelectric generators for powering wireless sensor networks.

This work presents a novel method to synthesize p-type composite thermoelectric materials to print scalable thermoelectric generator (TEG) devices in a cost-effective way. A maximum ZT of 0.2 was achieved for mechanically alloyed (MA) p-type Bi0.5Sb1. 5Te3 (8 wt % extra Te additive)-epoxy composite films cured at 250 °C. A 50% increase in Seebeck coefficient as a result of adding 8 wt % extra Te in stoichiometric Bi0.5Sb1. 5Te3 contributed to the increase in ZT. To demonstrate cost-effective and scalable manufacturing, we fabricated a sixty element thermoelectric generator prototype with 5.0 mm × 600 μm × 120 μm printed dimensions on a custom designed polyimide substrate with thick metal contacts. The prototype TEG device produced a power output of 20.5 μW at 0.15 mA and 130 mV for a temperature difference of 20 K resulting in a device areal power density of 152 μW/cm(2). This power is sufficient for low power applications such as wireless sensor network (WSN) devices.
Discovery of video websites based on machine learning

The supervision of video websites has become extremely important with the rapid development of web, The first problem to overcome is automatically detecting of video websites. For the traditional limitations of artificial discrimination, this paper presents a video website discovery method based on machine learning. First we adopt a crawler to crawl video page description information, then we preprocess these text information. After these steps, we adopt a Naïve Bayes classifier to classify this text information. In addition, through the combination of sensitive words matching, we can realize the supervision of sensitive information.
Parallel nonlinear analysis of weighted brain's gray and white matter images for Alzheimer's dementia diagnosis

In this study, we are proposing a novel nonlinear classification approach to discriminate between Alzheimer's Disease (AD) and a control group using T1-weighted and T2-weighted Magnetic Resonance Images (MRI's) of brain. Since T1-weighted images and T2-weighted images have inherent physical differences, obviously each of them has its own particular medical data and hence, we extracted some specific features from each. Then the variations of the relevant eigenvalues of the extracted features were tracked to pick up the most informative ones. The final features were assigned to two parallel systems to be nonlinearly categorized. Considering the fact that AD defects the white and gray regions of brain more than its black and marginal regions, and also since T1-weighted has more medical data of white and gray regions than T2-weighted images, we put optimal weights for the two outputs. Combination of these two results made the final decision of AD diagnosis system. The dataset includes 60 T1-weighted images and 60 T2-weighted images of normal and abnormal cases. The dataset which includes different cross-sections of the brain, after an accurate registration, was split to two groups of test set (40 percent of the dataset) and training set (60 percent of the dataset). The results demonstrate more than two thirds of accuracy in detection of normal and abnormal images.
Classification of Life by the Mechanism of Genome Size Evolution

We find that the global relationships among species should be of circular phylogeny, which is quite different from common sense based on phylogenetic trees. A domain can be defined by a distinct phylogenetic circle, which is a global and stable characteristic of the living system. The mechanism in genome size evolution has been clarified; hence the main component questions on C-value enigma can be explained. We find the intrinsic relationship between genome size evolution and protein length evolution; that is the genome size and non-coding DNA ratio can be calculated based on protein length distributions.
Equivalence for nonparametric drift estimation of a diffusion process and its Euler scheme

The main goal of the asymptotic equivalence theory of Le Cam (1986) is to approximate general statistical models by simple ones. We develop here a global asymptotic equivalence result for nonparametric drift estimation of a discretely observed diffusion process and its Euler scheme. The asymptotic equivalences are established by constructing explicit equivalence mappings. The impact of such asymptotic equivalence results is that it justifies the use in many applications of the Euler scheme instead of the diffusion process. We especially investigate the case of diffusions with non constant diffusion coefficient. To obtain asymptotic equivalence, experiments obtained by random change of times are introduced.
Parallel string matching algorithms based on dataflow

This paper presents efficient dataflow schemes for parallel string matching. Two subproblems known as the exact matching and the k-mismatches problems are covered. Three parallel algorithms based on multiple input (and output) streams are presented. Time complexities of these parallel algorithms are O((n/d)+/spl alpha/), O/spl les//spl alpha//spl les/m, where n and m represent lengths of reference and pattern strings (n/spl Gt/m) and d represents the number of streams used (the degree of parallelism). We can control the degree of parallelism by using variable number (d) of input (and output) streams. These performances are better than those found in the literature. These algorithms present three different methods to design special purpose systolic array hardware for string matching. With linear systolic array architecture, m PEs are needed for serial design and d*m PEs are needed for parallel design.
Using Fundamental Plane Distances to Estimate the Total Binding Mass in Abell 2626

We use fundamental plane (FP) distance estimates to the components of the double cluster A2626 (cz~17,500 km/s) to constrain cluster kinematics and estimate total binding mass. The FP coefficients for a sample of 24 early type and S0 cluster members (alpha=1.30+/-0.36 and beta=0.31+/-0.06) are consistent with others reported in the literature. We examine the Mg_b distributions within both subclusters and find them to be indistinguishable. Lacking evidence for stellar population differences, we interpret the FP zeropoint offset (\log(D_B/D_A)=-0.037+/-0.046, where D_{cl} is distance to subcluster cl) as a measure of the distance difference. This measurement is consistent with the subclusters being at the same distance, and it rules out the Hubble flow hypothesis (distances proportional to velocity) with 99% confidence; analysis of the subcluster galaxy magnitude distributions rules out Hubble flow at 93% confidence. Both results favor a kinematic model where the subclusters are bound and infalling. We estimate the total cluster binding mass by modelling the subcluster merger as radial infall. The minimum possible total binding mass is 1.65 times higher than the sum of the standard virial masses, a difference statistically significant at the ~3sigma level. We discuss explanations for the inconsistency including (1) biases in the standard virial mass estimator, (2) biases in our radial infall mass estimate, and (3) mass beyond the virialized cluster region; if the standard virial mass is significantly in error, the cluster has an unusually high mass to light ratio (~1000h). Because observational signatures of departures from radial infall are absent, we explore the implications of mass beyond the virialized, core regions. (abridged)