Miracle-dz/UniFAR-FTUs huggingface dataset:
Camera Pose Estimation with Unknown Principal Point

To estimate the 6-DoF extrinsic pose of a pinhole camera with partially unknown intrinsic parameters is a critical sub-problem in structure-from-motion and camera localization. In most of existing camera pose estimation solvers, the principal point is assumed to be in the image center. Unfortunately, this assumption is not always true, especially for asymmetrically cropped images. In this paper, we develop the first exactly minimal solver for the case of unknown principal point and focal length by using four and a half point correspondences (P4.5Pfuv). We also present an extremely fast solver for the case of unknown aspect ratio (P5Pfuva). The new solvers outperform the previous state-of-the-art in terms of stability and speed. Finally, we explore the extremely challenging case of both unknown principal point and radial distortion, and develop the first practical non-minimal solver by using seven point correspondences (P7Pfruv). Experimental results on both simulated data and real Internet images demonstrate the usefulness of our new solvers.
Topological phase transition in quantum-heat-engine cycles

We explore the signatures of a topological phase transition (TPT) in the work and efficiency of a quantum heat engine, which uses a single-layer topological insulator, stanene, in an external electric field as a working substance. The magnitude of the electric field controls the trivial and topological insulator phases of the stanene. The effect of the TPT is investigated in two types of thermodynamic cycles, with and without adiabatic stages. We examine a quantum Otto cycle for the adiabatic case and an idealized Stirling cycle for the nonadiabatic case. In both cycles, investigations are done for high and low temperatures. It is found that the Otto cycle can distinguish the critical point of the TPT as an extremum point in the work output with respect to applied fields at all temperatures. The Stirling cycle can identify the critical point of the TPT as the maximum work point with respect to the applied fields only at relatively lower temperatures. As temperatures increase toward room temperature, the maximum work point of the Stirling cycle shifts away from the critical point of the TPT. In both cycles, increasing the temperature causes considerable enhancement in work and efficiency from the order of meV to eV.
JEFFREY A. CARMEN, Ph.D. LICENSED PSYCHOLOGIST

Background. 100 migraine sufferers were treated using Passive Infrared Hemoencephalography (pIR HEG) over a period of four years. All subjects met the criteria for at least one of the categories set forth in the International Headache Society (IHS) classification criteria for headache disorders (IHS, 1988) for primary migraine. Methods. Subjects were treated using the pIR HEG system in 30 minute sessions. A central forehead placement (approximately Fpz) was used for the sensor assembly for all subjects. Changes in headache patterns were examined. In addition, after two years, an infrared video imaging system was added to the data collection process. This was available for 61of the 100 subjects. Infrared forehead images were captured at the start and end of each session to examine changes in prefrontal cortical brain activity. Results. Most of the subjects improved control over their migraine headaches. Over 90% of those subjects who completed at least 6 sessions, reported significant improvements in migraine activity. Conclusions. pIR HEG appears to have a strong impact on migraine headaches, even for people who have not had a positive response to medication. Headache response by the end of 6 sessions appears to be a good predictor of probability of improvement.
Ledger design language: designing and deploying formally verified public ledgers

Cryptocurrencies have popularized public ledgers, known colloquially as “blockchains”. While the Bitcoin blockchain is relatively simple to reason about as, effectively, a hash chain, more complex public ledgers are largely designed without any formalization of desired cryptographic properties such as authentication or integrity. These designs are then implemented without assurances against real-world bugs leading to little assurance with regards to practical, real-world security. Ledger Design Language (LDL) is a modeling language for describing public ledgers. The LDL compiler produces two outputs. The first output is a an applied-pi calculus symbolic model representing the public ledger as a protocol. Using ProVerif, the protocol can be played against an active attacker, whereupon we can query for block integrity, authenticity and other properties. The second output is a formally verified read/write API for interacting with the public ledger in the real world, written in the F* programming language. F* features such as dependent types allow us to validate a block on the public ledger, for example, by type-checking it so that its signing public key be a point on a curve. Using LDL’s outputs, public ledger designers obtain automated assurances on the theoretical coherence and the real-world security of their designs with a single framework based on a single modeling language.
Idiopathic pulmonary fibrosis: clinical impact of different phenotypes

pag. 3 INTRODUCTION IDIOPATHCI PULMONARY FIBROSIS.pag. 8 Definition.pag. 8 Clinical presentation.pag. 8 Incidence and prevalence.pag. 8 Pathogenetic hypothesis.pag. 9 Potential risk factors and comorbidities.pag. 15 Genetic factors.pag. 18 Histopathology.pag. 19 HRCT features.pag. 20 Diagnosis.pag. 22 Natural History. pag. 25 Treatment.pag. 33 Monitoring the clinical course.pag. 36 AIM OF THE FIRST STUDY.pag. 39 MATHERIAL AND METHODS.pag. 39 RESULTS.pag. 42 DISCUSSION.pag. 45 CONCLUSION.pag. 46 AIM OF THE SECOND STUDY.pag. 47 MATHERIAL AND METHODS.pag. 47 RESULTS.pag. 51 DISCUSSION.pag. 57 CONCLUSION.pag. 59 REFERENCES.pag. 60
Fiscal Policy and Inflation Volatility

Among the harmful effects of inflation, the negative consequences of inflation volatility are of particular concern. These include higher risk premia, hedging costs and unforeseen redistribution of wealth. This paper presents panel estimations for a sample of OECD countries which suggest that activist fiscal policies may have an important impact on CPI inflation volatility. Major results are robust for unconditional and conditional inflation volatility, the latter derived from country-specific GARCH models, and across different data frequencies, time periods and econometric methodologies. From a policy perspective, these results point to the possibility of further destabilising effects of discretionary fiscal policies, in addition to their potential to destabilise output. JEL Classification: E31, E62
MEDICAL DIAGNOSIS CLASSIFICATION USING MIGRATION BASED DIFFERENTIAL EVOLUTION ALGORITHM

Constructing a classification model is important in machine learning for a particular task. A classification process involves assigning objects into predefined groups or classes based on a number of observed attributes related to those objects. Artificial neural network is one of the classification algorithms which, can be used in many application areas. This paper investigates the potential of applying the feed forward neural network architecture for the classification of medical datasets. Migration based differential evolution algorithm (MBDE) is chosen and applied to feed forward neural network to enhance the learning process and the network learning is validated in terms of convergence rate and classification accuracy. In this paper, MBDE algorithm with various migration policies is proposed for classification problems using medical diagnosis.
KLUYVEROMYCES LACTIS AS AN EXPRESSION HOST FOR ENZYMES THAT DEGRADE LIGNOCELLULOSIC BIOMASS

Lignocellulose is the most abundant regenerative raw material in the world and is therefore an important substrate for the conversion of biomass into biofuels and other high-value products. The efficient microbial degradation of plant biomass in nature requires a set of different enzymes that act in concert to degrade different parts of the lignocellulose molecule. For example, cellulases are responsible for cellulose hydrolysis, and peroxidases and laccases are the main enzymes for lignin degradation. One strategy for the generation of tailor-made enzyme cocktails is the production of specific combinations of different enzymes for different biomass sources. Because the best known biomass degraders are fungi, a eukaryotic expression system is preferable for the expression of biomass-degrading enzymes. We therefore chose the yeast Kluyveromyces lactis for the over expression of enzymes from fungi such as Trichoderma reesei and Pycnoporus cinnabarinus. K. lactis combines eukaryotic post-translational modifications with easy single-cell fermentation conditions. Furthermore, it can secrete the recombinant enzymes to avoid expensive and time-consuming downstream processing steps. Here, we demonstrate that K. lactis is an appropriate host for the production of recombinant enzymes that degrade lignocellulose, using the endoglucanase TrCel5A and the laccase PcLCC3-1 as examples. Both enzymes were secreted efficiently into the culture medium, and following affinity purification were active against the model substrates AzoCMC (TrCel5A) and ABTS (PcLCC3-1).
MULTIMEDIA CONTENT DOWNLOADING IN VANET WITH DENSITY MEASUREMENT

The presence of Internet-connected navigation systems is becoming a truth that will easily lead to a significant growth in bandwidth demand by in-vehicle users like mobile user. For example the applications of vehicular communication proliferate, and range from the updating of road maps to the repossession of nearby points of interest, downloading of touristic information and multimedia files. This content downloading system will induce the vehicular user to use the resource to the same extent as today’s mobile customers. By this approach communication-enabled vehicles are paying attention in downloading different contents from Internet-based servers. We summarize the performance limits of such a vehicular multimedia content downloading system by modeling the content downloading process as an effective problem and developing the overall system throughput with density measurement. Results highlight the methods where the Roadside access point deployment based upon the density of vehicles, which mean that they are working at different capabilities irrespective of vehicle density, the vehicle-to-vehicle relaying.
The Role of Habitat Type and Nutrient Quality on Invertebrate Dispersal and Diversity

The presence of invertebrates in a given area is governed by a variety of factors including competition, predation, habitat selection, and resource availability. Manipulating one or more of these factors could affect invertebrate survival, based on differences in the ability to detect habitat quality. A field experiment was conducted to test the relationship between food quality and environmental type on invertebrate dispersal and diversity. Containers filled with lake water were treated with algae cultured on varying amounts of phosphorus and were placed within an experimental plot with varying vegetation to allow for insect oviposition. Nutrient quality was found to have an effect on (1) number of invertebrate egg clusters, (2) number of chironomid larvae, and (3) overall invertebrate diversity. Additionally, there was a positive relationship between the amount of chlorophyll a and the measured variables; however, habitat type was found to have no effect. These results stress the importance of nutrient availability in oviposition decisions made by adult invertebrates. Furthermore, they hint at the sensitive balance of ecosystems and the role that phosphorus-loaded fertilizers, pollution and human land use in general plays in the stability of these systems. © 2007 Oklahoma Academy of Science
Learning Statistical Patterns in Relational Data Using Probabilistic Relational Models

Abstract : This report describes techniques for learning probabilistic models of relational data, and using these models to interpret new relational data. This effort focused on developing undirected probabilistic models for representing and learning graph patterns, learning patterns involving links between objects, learning discriminative models for classification in relational data, developing and labeling two real-world relational data sets - one involving web data and the other a social network - and evaluating the performance of our methods on these data sets, and dealing with distributions that are non-uniform, in that different contexts (time periods, organizations) have statistically different properties. The technology developed under this effort was transitioned and is being used under the Perceptive Assistant Program (PAL) at DARPA.
The movement in cancer metastasis

The critical role of migration and invasion in cancer metastasis warrants new therapeutic approaches targeting the machinery regulating cell migration and invasion. While 2-dimensional (2D) models have helped identify a range of adhesion molecules, cytoskeletal components and regulators that are potentially important for cell migration, the use of models that better mimic the 3-dimensional (3D) environment has yielded new insights into the physiology of cell movement. For example, studying cells in 3D models has revealed that invading cancer cells may switch between heterogeneous invasion modes and thus evade pharmacological inhibition of invasion. Here we summarize published data in which the role of cell adhesion molecules in 2D vs. 3D migration have been directly compared and discuss mechanisms that regulate migration speed and persistence in 2D and 3D. Finally we discuss limits of 3D culture models to recapitulate the in vivo situation.
Modeling perceptual characteristics of loudspeaker reproduction in a stereo setup

In this study the characteristics of compact loudspeakers in a stereo setup positioned in a standardized listening room were investigated. Perceptual evaluations of eleven loudspeakers were conducted on the basis of six selected sensory descriptors, chosen by experienced listeners during consensus meetings. Based on an analysis of the perceptual evaluation data, four of the descriptors were found suited for modeling, with the purpose of developing metrics for prediction of Bass depth, Punch, Brilliance, and Dark-Bright respectively. Bass depth and Punch were modeled as one due to high correlation between the two. The experimental setup included loudspeaker spinners, enabling fast positioning of loudspeakers. The prediction models were based on binaural recordings, processed using a loudness model, and developed on the basis of previous work on headphone modeling [1, 2]. They were trained on a subset of the data (66%) and validated on the rest. The resulting metrics had high correlations with the perceptual ratings of the validation dataset ( r = 0.85-0.96).
Single Gateway Placement in Wireless Mesh Networks

Wireless Mesh Networks (WMN) are increasingly becoming popular as low cost alternatives to wired network for providing broadband access to users (the last mile connectivity). In these multi-hop networks, data is forwarded to a gateway from the nodes or from the gateway to the nodes. This paper investigates the role of gateway placement on network throughput for realistic configurations of WMNs. We show that the position of the gateway significantly bears on network throughput. It is hence important to optimize its placement. Specifically, we propose several heuristics to optimally position a single gateway in WMN and compare their relative performance in terms of network throughput with respect to the exact solution, which is obtained through cumbersome computations.
CAN TECHNICAL TRADING BE PROFITABLE-EVIDENCE FROM VOLATILITY MARKETS

In this paper we research whether look back trading strategies can be profitable in volatility markets over time. We examine these strategies on VIX time series and short term futures, which trade based on the VIX index. We compare the performance of the technical strategies with a benchmark strategy of buy and hold. We find out that technical strategies outperform the benchmark even after applying a power utility with a relative high risk aversion. We conclude that contrary to the equity markets, the profitability of technical look back strategies, when applied on VIX series, is pronounced even after taking the friction costs into account.
Randomized Evaluation of Routine Follow-up Coronary Angiography after Percutaneous Coronary Intervention Trial (ReACT)

Hiroki Shiomi, M.D., Takeshi Morimoto, M.D, PhD. , Shoji Kitaguchi, M.D., Yoshihisa Nakagawa, M.D., Katsuhisa Ishii, M.D., Yoshisumi Haruna, M.D, PhD, Itaru Takamisawa, M.D., Makoto Motooka, M.D., Kazuhiro Nakao, M.D., Shintaro Matsuda, M.D., Satoru Mimoto, M.D., Yutaka Aoyama, M.D., Teruki Takeda, M.D., Koichiro Murata, M.D., Masaharu Akao, M.D., Tsukasa Inada, M.D., Hiroshi Eizawa, M.D., Eiji Momona, M.D., Kojiro Awano, M.D., Manabu Shirotani, M.D., Yutaka Furukawa, M.D., Kazushige Kadota, M.D., Katsumi Miyauchi, M.D., Masaru Tanaka, M.D., Yuichi Noguchi, M.D., Sunao Nakamura, M.D., Satoshi Yasuda, M.D., Shunichi Miyazaki, M.D., Hiroyuki Daida, M.D., Kazuo Kimura, M.D., Yuji Ikari, M.D., Haruo Hirayama, M.D, PhD, Tetsuya Sumiyoshi, M.D., Takeshi Kimura, M.D.
Synergistic Effects of a Night Temperature Shift and Methyl Jasmonate on the Production of Anthocyanin in Red Leaf Lettuce

The production of a secondary metabolite such as anthocyanin is coordinately regulated by plant intrinsic factors and influenced by multiple environmental factors. In red leaf lettuce, the red pigment component anthocyanin is important for the commercial value of the crop, but its synchronous regulation by multiple factors is not well understood. Here, we examined the synergistic effects of a night temperature shift and methyl jasmonate (MJ) on the production of anthocyanin in red leaf lettuce. Low or high night temperature treatment for 3 days just before harvesting induced the production of anthocyanin without affecting plant biomass. Temperature-dependent activation of anthocyanin accumulation was accelerated by treating with MJ. Night temperature shifts and MJ triggered oxidative stresses in leaves, as indicated by hydrogen peroxide accumulation and lipid peroxidation. Interestingly, these oxidative stresses were more evident in leaves simultaneously treated with both a high night temperature and MJ. The activity of the superoxide dismutase (SOD) was increased alongside the elevation of oxidative stress. Taken together, these results indicate that the combined treatment of a night temperature shift with MJ may accelerate anthocyanin production by increasing the levels of oxidative stress to the leaves of red leaf lettuce.
Identification of sound-soft 3D obstacles from phaseless data

The inverse problem for time-harmonic acoustic wave scattering to recover a sound-soft obstacle from a given incident field and the far field pattern of the scattered field is considered. We split this problem into two subproblems; first to reconstruct the shape from the modulus of the data and this is followed by employing the full far field pattern in a few measurement points to find the location of the obstacle. We extend a nonlinear integral equation approach for shape reconstruction from the modulus of the far field data [6] to the three-dimensional case. It is known, see [13], that the location of the obstacle cannot be reconstructed from only the modulus of the far field pattern since it is invariant under translations. However, employing the underlying invariance relation and using only few far field measurements in the backscattering direction we propose a novel approach for the localization of the obstacle. The efficient implementation of the method is described and the feasibility of the approach is illustrated by numerical examples.
Human Dopamine Transporter Function Following Exposure to Heavy Metals and Psychostimulants

Copyright 2018 by Wallace DR. This is an open-access article distributed under Creative Commons Attribution 4.0 International License (CC BY 4.0), which allows to copy, redistribute, remix, transform, and reproduce in any medium or format, even commercially, provided the original work is properly cited. 1 cc Original Research Original Research | Volume 3 | Number 1| Background Environmental exposure to heavy metals plus the use of psychostimulants may pose a unique threat to the neurological health of the user at the level of dopamine transporter (DAT) function.
WEB GRAPH CLUSTERING USING HYPERLINK STRUCTURE

Now, information is useful for every environment in which time similarity is more important case. The most of people are strongly interested in Internet. Web pages in the Internet are linked thorough hyperlinks that contain useful information. By using hyperlinks, web graphs are constructed for time similarity web links in which webs have been seen by users at past. These activities are needed to use for tracing who used the websites for something at the time. So this paper provides the history of users who connect the person started the news. We found that the normalized-cut method with the new similarity metric is particularly effective, as demonstrated on a web log file.
Traits of neighbouring plants and space limitation determine intraspecific trait variability in semi‐arid shrublands

Understanding how intraspecific trait variability (ITV) responds to both abiotic and biotic constraints is crucial to predict how individuals are assembled in plant communities, and how they will be impacted by ongoing global environmental change. Three key functional traits [plant height, leaf area (LA) and specific leaf area (SLA)] were assessed to quantify the range of ITV of four dominant plant species along a rainfall gradient in semi‐arid Mediterranean shrublands. Variance partitioning and confirmatory multilevel path analyses were used to assess the direct and indirect effects of rainfall, space limitation (crowding) and neighbouring plant traits on ITV. The direct effect of the local neighbourhood on the trait values of subordinate individuals was as strong as the effect of rainfall. The indirect effect of rainfall, however, mediated by the effect of the local neighbourhood on the trait values of subordinate individuals, was weak. Rainfall decreased the height and SLA of subordinate individuals, but increased their LA. Neighbouring plant traits were just as strong predictors as crowding in explaining changes in ITV. Synthesis. Our study provides a framework to disentangle the direct effects of abiotic factors and their indirect effects on ITV mediated by the local neighbourhood. Our results highlight that abiotic and biotic constraints are both substantial sources of trait variations at the individual level, and can blur processes underlying changes in ITV. Considering and disentangling combined sources with an individual perspective would help to refine our predictions for community assembly and functional ecology.