Miracle-dz/UniFAR-FTUs huggingface dataset:
A Rare Monocytic Crisis of Chronic Myelogenous Leukemia Presenting with Unusual Extramedullary Manifestations and an Atypical (14;22)(q24;q11.2) Translocation in the Bone Marrow

A 48-year-old man was admitted due to marked leukocytosis. Bone marrow examinations resulted in a diagnosis of Philadelphia (Ph) chromosome-positive chronic myeloid leukemia. One month later, massive muscle and bone invasion by leukemic cells was detected. After induction chemotherapy, he complained of a headache and visual loss, which was caused by a leukemic infiltration in the central nervous system. After temporary remission in response to chemotherapy, the disease relapsed in the form of an intracranial tumor. The unusual t(14;22)(q24;q11.2) translocation of the Ph-chromosome and the significant increase in monocytes observed might have contributed to the unique and aggressive clinical course.
Alternate Wavelength Switching in a Widely Tunable Dual-Wavelength Tm   $^{3+}$-Doped Fiber Laser at 1900 nm

We demonstrate alternate wavelength switching in a widely tunable, dual-wavelength Tm3+-doped fiber laser operating at 1900 nm. A comb filter based on a Sagnac loop incorporating a length of high-birefringence fiber is used to define the lasing wavelengths. By simple variation of a polarization controller within the laser cavity, alternate and sequential switching between single- and dual-wavelength output, as well as tunable operation over a range of 70 nm, is obtained.
JASPAR, the open access database of transcription factor-binding profiles: new content and tools in the 2008 update

JASPAR is a popular open-access database for matrix models describing DNA-binding preferences for transcription factors and other DNA patterns. With its third major release, JASPAR has been expanded and equipped with additional functions aimed at both casual and power users. The heart of the JASPAR database—the JASPAR CORE sub-database—has increased by 12% in size, and three new specialized sub-databases have been added. New functions include clustering of matrix models by similarity, generation of random matrices by sampling from selected sets of existing models and a language-independent Web Service applications programming interface for matrix retrieval. JASPAR is available at http://jaspar.genereg. net.
Nanoscale Protein Diffusion by STED-Based Pair Correlation Analysis

We describe for the first time the combination between cross-pair correlation function analysis (pair correlation analysis or pCF) and stimulated emission depletion (STED) to obtain diffusion maps at spatial resolution below the optical diffraction limit (super-resolution). Our approach was tested in systems characterized by high and low signal to noise ratio, i.e. Capsid Like Particles (CLPs) bearing several (>100) active fluorescent proteins and monomeric fluorescent proteins transiently expressed in living Chinese Hamster Ovary cells, respectively. The latter system represents the usual condition encountered in living cell studies on fluorescent protein chimeras. Spatial resolution of STED-pCF was found to be about 110 nm, with a more than twofold improvement over conventional confocal acquisition. We successfully applied our method to highlight how the proximity to nuclear envelope affects the mobility features of proteins actively imported into the nucleus in living cells. Remarkably, STED-pCF unveiled the existence of local barriers to diffusion as well as the presence of a slow component at distances up to 500–700 nm from either sides of nuclear envelope. The mobility of this component is similar to that previously described for transport complexes. Remarkably, all these features were invisible in conventional confocal mode.
Modeling the Deformation of FCC Nickel Nanowires which Contain Hydrogen Atoms

Using the method of molecular dynamics, FCC Ni nanowires containing hydrogen atoms in octahedral and tetrahedral pores are investigated in the course of high-speed uniaxial tensile loading along the direction <001>. The feature of structural transformations in Ni nanowires containing hydrogen is appearance on the stage of plastic deformation globular (spherical) formations consisting of hydrogen atoms
Variable baseline/resolution stereo

We present a novel multi-baseline, multi-resolution stereo method, which varies the baseline and resolution proportionally to depth to obtain a reconstruction in which the depth error is constant. This is in contrast to traditional stereo, in which the error grows quadratically with depth, which means that the accuracy in the near range far exceeds that of the far range. This accuracy in the near range is unnecessarily high and comes at significant computational cost. It is, however, non-trivial to reduce this without also reducing the accuracy in the far range. Many datasets, such as video captured from a moving camera, allow the baseline to be selected with significant flexibility. By selecting an appropriate baseline and resolution (realized using an image pyramid), our algorithm computes a depthmap which has these properties: 1) the depth accuracy is constant over the reconstructed volume, 2) the computational effort is spread evenly over the volume, 3) the angle of triangulation is held constant w.r. t. depth. Our approach achieves a given target accuracy with minimal computational effort, and is orders of magnitude faster than traditional stereo.
An Adaptive and Social-Aware Recommendation Algorithm for Administration Services

This paper addresses the recommendation of online services provided by public administrations taking into account both the specific characteristics of these services and the perception of other citizens. The solution discussed is based on an enhanced hybrid model that relies on content-based and collaborative strategies aimed to exploit the information shared by other users to validate the quality of the recom- mendations provided. As a relevant feature, the proposed schema takes advantage of an automatic compensation of the mentioned strategies. To make the most of theses two approaches, the use of semantics is introduced to describe knowledge and to make smart recommendation decisions. To facilitate the task of other researchers and practitioners, details about the actual development and validation of the proposed model are also included in the paper, making it possible its replication in other environmentsEurope is involved in a process of transition to digital terrestrial television that is aimed to replace all analog broadcasting infrastructures into digital ones by year 2012. Besides the substitution of all broadcasting networks scattered around Europe, this process includes the replacement of all household elements related to the reception of terres- trial television emissions, namely television appliances and antenna settings. As in any major change in the every-day life of citizens, public administrations must keep citizen informed and provide convenient support, specially when dealing with the a commu- nication medium designated to be the carriers of services and information. This paper tackles how this situation has been faced in Galicia, a European region with special needs in this area, as shown in the paper. Through a successful use case based on Ge- ographical Information Services and Web2.0 technologies, we illustrate some features not present in related initiatives in other areas.
Saliency Sandbox - Bottom-up Saliency Framework

Saliency maps are used to predict the visual stimulus raised from a certain region in a scene. Most approaches to calculate the saliency in a scene can be divided into three consecutive steps: extraction of feature maps, calculation of activation maps, and the combination of activation maps. In the past two decades, several new saliency estimation approaches have emerged. However, most of these approaches are not freely available as source code, thus requiring researchers and application developers to reimplement them. Moreover, others are freely available but use different platforms for their implementation. As a result, employing, evaluating, and combining existing approaches is time consuming, costly, and even error-prone (e.g., when reimplementation is required). In this paper, we introduce the Saliency Sandbox, a framework for the fast implementation and prototyping of saliency maps, which employs a flexible architecture that allows designing new saliency maps by combining existing and new approaches such as Itti & Koch, GBVS, Boolean Maps and many more. The Saliency Sandbox comes with a large set of implemented feature extractors as well as some of the most popular activation approaches. The framework core is written in C++; nonetheless, interfaces for Matlab and Simulink allow for fast prototyping and integration of already existing implementations. Our source code is available at: www.ti. uni-tuebingen.de/perception.
Flotillins control zebrafish epiboly through their role in cadherin‐mediated cell–cell adhesion

Zebrafish gastrulation and particularly epiboly that involves coordinated movements of several cell layers is a dynamic process for which regulators remain to be identified. We show here that Flotillin 1 and 2, ubiquitous and highly conserved proteins, are required for epiboly. Flotillins knockdown compromised embryo survival, strongly delayed epiboly and impaired deep cell radial intercalation and directed collective migration without affecting enveloping layer cell movement. At the molecular level, we identified that Flotillins are required for the formation of E‐cadherin‐mediated cell–cell junctions. These results provide the first in vivo evidence that Flotillins regulate E‐cadherin‐mediated cell–cell junctions to allow epiboly progression.
Female prisoners with borderline personality disorder: some promising treatment developments.

BACKGROUND The over-representation of female prisoners with borderline personality disorder (BPD) is an area of concern for HM Prison Service. Pilot programmes of Dialectical Behaviour Therapy (DBT) were undertaken for the first time in three British prisons for women diagnosed with BPD. Standard year-long programmes were piloted in two closed training prisons. Three short-format programmes were undertaken in a local allocation prison. METHOD Evaluation measures included psychometric tests, behavioural data, and interviews with participants and key personnel. Sixteen of the 30 women who embarked on the programmes completed them, though five dropouts were transferred or released, leaving a voluntary attrition rate of 33%. Fourteen completed all measures. A waiting-list control group of eight participants was also set up. Five completed all measures. RESULTS The vast majority of completers showed overall improvements in psychometric data often reaching statistical significance, and with notable effect sizes, while there was no significant overall change in the control group (though improvements were seen). A down-turn in overall self-harm was also seen. CONCLUSION Results are tentative at this stage because of the small sample size. However, despite the numerous challenges associated with implementation, outcomes showed real promise for delivering DBT in a prison setting, and its efficacy in reducing criminogenic risk and improving the manageability and quality of life for this highly problematic group. Lessons learned for future implementation in correctional settings are discussed.
Performance analysis of MD5

MD5 is an authentication algorithm proposed as the required implementation of the authentication option in IPv6. This paper presents an analysis of the speed at which MD5 can be implemented in software and hardware, and discusses whether its use interferes with high bandwidth networking. The analysis indicates that MD5 software currently runs at 85 Mbps on a 190 Mhz RISC architecture, a rate that cannot be improved more than 20-40%. Because MD5 processes the entire body of a packet, this data rate is insufficient for current high bandwidth networks, including HiPPI and FiberChannel. Further analysis indicates that a 300 Mhz custom VLSI CMOS hardware implementation of MD5 may run as fast as 256 Mbps. The hardware rate cannot support existing IPv4 data rates on high bandwidth links (800 Mbps HiPPI). The use of MD5 as the default required authentication algorithm in IPv6 should therefore be reconsidered, and an alternative should be proposed. This paper includes a brief description of the properties of such an alternative, including a sample alternate hash algorithm.
The anti-social tagger: detecting spam in social bookmarking systems

The annotation of web sites in social bookmarking systems has become a popular way to manage and find information on the web. The community structure of such systems attracts spammers: recent post pages, popular pages or specific tag pages can be manipulated easily. As a result, searching or tracking recent posts does not deliver quality results annotated in the community, but rather unsolicited, often commercial, web sites. To retain the benefits of sharing one's web content, spam-fighting mechanisms that can face the flexible strategies of spammers need to be developed. A classical approach in machine learning is to determine relevant features that describe the system's users, train different classifiers with the selected features and choose the one with the most promising evaluation results. In this paper we will transfer this approach to a social bookmarking setting to identify spammers. We will present features considering the topological, semantic and profile-based information which people make public when using the system. The dataset used is a snapshot of the social bookmarking system BibSonomy and was built over the course of several months when cleaning the system from spam. Based on our features, we will learn a large set of different classification models and compare their performance. Our results represent the groundwork for a first application in BibSonomy and for the building of more elaborate spam detection mechanisms.
Nutrient Retention in Restored Streams and Rivers: A Global Review and Synthesis

Excess nitrogen (N) and phosphorus (P) from human activities have contributed to degradation of coastal waters globally. A growing body of work suggests that hydrologically restoring streams and rivers in agricultural and urban watersheds has potential to increase N and P retention, but rates and mechanisms have not yet been analyzed and compared across studies. We conducted a review of nutrient retention within hydrologically reconnected streams and rivers, including 79 studies. We developed a typology characterizing different forms of stream and river restoration, and we also analyzed nutrient retention across this typology. The studies we reviewed used a variety of methods to analyze nutrient cycling. We performed a further intensive meta-analysis on nutrient spiraling studies because this method was the most consistent and comparable between studies. A meta-analysis of 240 experimental additions of ammonium (NH4+), nitrate (NO3−), and soluble reactive phosphorus (SRP) was synthesized from 15 nutrient spiraling studies. Our results showed statistically significant relationships between nutrient uptake in restored streams and specific watershed attributes. Nitrate uptake metrics were significantly related to watershed surface area, impervious surface cover, and average reach width (p < 0.05). Ammonium uptake metrics were significantly related to discharge, velocity, and transient storage (p < 0.05). SRP uptake metrics were significantly related to watershed area, discharge, SRP concentrations, and chl a concentrations (p < 0.05). Given that most studies were conducted during baseflow, more research is necessary to characterize nutrient uptake during high flow. Furthermore, long-term studies are needed to understand changes in nutrient dynamics as projects evolve over time. Overall analysis suggests the size of the stream restoration (surface area), hydrologic connectivity, and hydrologic residence time are key drivers influencing nutrient retention at broader watershed scales and along the urban watershed continuum.
A Spike and Slab Restricted Boltzmann Machine

We introduce the spike and slab Restricted Boltzmann Machine, characterized by having both a real-valued vector, the slab, and a binary variable, the spike, associated with each unit in the hidden layer. The model possesses some practical properties such as being amenable to Block Gibbs sampling as well as being capable of generating similar latent representations of the data to the recently introduced mean and covariance Restricted Boltzmann Machine. We illustrate how the spike and slab Restricted Boltzmann Machine achieves competitive performance on the CIFAR-10 object recognition task.
Homotopy Lie algebras, lower central series and the Koszul property

Let X and Y be finite-type CW–complexes (X connected, Y simply connected), such that the rational cohomology ring of Y is a k–rescaling of the rational cohomology ring of X. Assume H ∗ (X, Q) is a Koszul algebra. Then, the homotopy Lie algebra π∗(Y ) ⊗ Q equals, up to k–rescaling, the graded rational Lie algebra associated to the lower central series of π1(X). If Y is a formal space, this equality is actually equivalent to the Koszulness of H ∗ (X, Q). If X is formal (and only then), the equality lifts to a filtered isomorphism between the Malcev completion of π1(X) and the completion of [S 2k+1 ,Y ]. Among spaces that admit naturally defined homological rescalings are complements of complex hyperplane arrangements, and complements of classical links. The Rescaling Formula holds for supersolvable arrangements, as well as for links with connected linking graph. AMS Classification numbers Primary: 16S37, 20F14, 55Q15 Secondary: 20F40, 52C35, 55P62, 57M25, 57Q45
Intelligent Optimization Approach of Eigenstructure Assignment Based Flight Control for Advanced Fighter

An intelligent optimization approach is proposed for eigenstructure assignment (EA) via neural network (NN) adjusting the components of output vector autonomously. The Basic idea is to minimize the L2 norm of error between the desired vector and achievable vector using the designing freedom provided by EA technique. Besides adjusting the output vector parameters, the closed-loop eigenvalues are also optimized within desired regions on the left-half complex plane to ensure both closed-loop stability and dynamical performance. With the proposed approach, additional closed-loop specifications such as decoupling of different modes and robustness can also be easily achieved. As a demonstration, application of the proposed approach to the designing of flight control law for an advanced fighter is discussed. The results show good closed loop performance and validate the proposed intelligent optimization approach of EA technique
SVM-Based Spectrum Sensing in Cognitive Radio

Spectrum sensing is a fundamental process in cognitive radio. In order to sense primary user (PU) information, this paper applied support vector machines (SVM), which is a data mining method, to develop a real-time approach for detecting. The sample data could be classified as PU or not by training and testing on proposed SVM classification model in time domain. For linear classification, kernel function is proposed to map the input low dimensional vector into a high dimensional feature space. The paper exploits thoroughly two parameters: the parameter in RBF kernel function and the sampling data dimension. The simulation shows that the SVM model possesses excellent recognized ability in the low SNR compared with energy detection. The probability of correct detection will achieve an accuracy of 100% when false rate is a little.
Construction of Symmetric Tight Wavelet Frames from Quasi-interpolatory Subdivision Masks and their Applications

This paper presents tight wavelet frames with two compactly supported symmetric generators of more than one vanishing moments in the Unitary Extension Principle. We determine all possible free tension parameters of the quasi-interpolatory subdivision masks whose corresponding refinable functions guarantee our wavelet frame. In order to reduce shift variance of the standard discrete wavelet transform, we use the three times oversampling filter bank and eventually obtain a ternary (low, middle, high) frequency scale. In applications to signal/image denoising and erasure recovery, the results demonstrate reduced shift variance and better performance of our wavelet frame than the usual wavelet systems such as Daubechies wavelets.
An Advanced Filter Adaptive to Non-Stationary Clutter in Ultrasonic Color Flow Imaging

Traditional clutter rejection methods are based on the hypothesis that the clutter signal originates from stationary or moving tissue with a constant velocity, and they are not valid when there exists considerable acceleration of tissue motion. In this paper, we propose an advanced clutter filter adapted to accelerated tissue motion. It uses the instantaneous frequency to realize the DC remove, and uses the bandwidth of the clutter signal to choose the cutoff frequency of the wall filter, Simulation shows this advanced adaptive filter can efficiently attenuate the non-stationary clutter signals and improves the accuracy and the flexibility of the blood flow estimation.
Inorganic phosphate induces cancer cell mediated angiogenesis dependent on forkhead box protein C2 (FOXC2) regulated osteopontin expression

Recent studies in both rodents and humans suggest that elevated serum phosphorus, in the context of normal renal function, potentiates, or exacerbates pathologies associates with cardiovascular disease, bone metabolism, and cancer. Our recent microarray studies identified the potent stimulation of pro‐angiogenic genes such as forkhead box protein C2 (FOXC2), osteopontin, and Vegfα, among others in response to elevated inorganic phosphate (Pi). Increased angiogenesis and neovascularization are important events in tumor growth and the progression to malignancy and FOXC2 has recently been identified as a potential transcriptional regulator of these processes. In this study we addressed the possibility that a high Pi environment would increase the angiogenic potential of cancer cells through a mechanism requiring FOXC2. Our studies utilized lung and breast cancer cell lines in combination with the human umbilical vascular endothelial cell (HUVEC) vessel formation model to better understand the mechanism(s) by which a high Pi environment might alter cancer progression. Exposure of cancer cells to elevated Pi stimulated expression of FOXC2 and conditioned medium from the Pi‐stimulated cancer cells stimulated migration and tube formation in the HUVEC model. Mechanistically, we define the requirement of FOXC2 for Pi‐induced osteopontin (OPN) expression and secretion from cancer cells as necessary for the angiogenic response. These studies reveal for the first time that cancer cells grown in a high Pi environment promote migration of endothelial cells and tube formation and in so doing identify a novel potential therapeutic target to reduce tumor progression. © 2014 Wiley Periodicals, Inc.