Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-T Cell Activation Linker Promotes Mast Cell Survival by Dampening the Recruitment of SHIP1 by Linker for Activation of T Cells1

The linker for activation of T cells (LAT) and the non-T cell activation linker (NTAL) are two transmembrane adapters which organize IgE receptor (FcεRI) signaling complexes in mast cells. LAT positively regulates, whereas NTAL negatively regulates mast cell activation. We previously found that the four distal tyrosines of LAT can generate negative signals. We show here that two of these tyrosines provide two binding sites for SHIP1, that LAT recruits SHIP1 in vivo, and that SHIP1 recruitment is enhanced in NTAL-deficient cells. We show that NTAL negatively regulates mast cell activation by decreasing the recruitment, by LAT, of molecules involved in FcεRI-dependent positive signaling. We show that NTAL also decreases the recruitment of SHIP1 by LAT, leading to an increased phosphorylation of the antiapoptotic molecule Akt, and positively regulates mast cell survival. We finally show that the positive effect of NTAL on Akt phosphorylation and mast cell survival requires LAT. Our data thus document the mechanisms by which LAT and NTAL can generate both positive and negative signals which differentially regulate mast cell activation and survival. They also provide molecular bases for the recruitment of SHIP1 in FcεRI signaling complexes. SHIP1 is a major negative regulator of mast cell activation and, hence, of allergic reactions.
Design of a compact triple-band metamaterial absorber with wide angle of incidence using connected resonator topology

A compact triple band metamaterial absorber is presented in this paper. The triple band absorbance is achieved by combining a meander line loaded rectangular close ring resonator with an electric field driven LC resonator within a single unit cell. A more compact unit cell having a size reduction of 14.47% and triple band absorption has been realized as an advantage over close ring metamaterial absorber. The artificially engineered structure has triple band absorbance with one band laying in C-band and another two in Ku and K band respectively. This triple band design can be used for stealth technology such as the C-band airborne radar and battlefield applications. Moreover, the absorber can perform well over a wide angle of incidence.
Wnt5a Increases Properties of Lung Cancer Stem Cells and Resistance to Cisplatin through Activation of Wnt5a/PKC Signaling Pathway

The development of chemoresistance to cisplatin regimens causes a poor prognosis in patients with advanced NSCLC. The role of noncanonical Wnt signaling in the regulation of properties of lung cancer stem cells and chemoresistance was interrogated, by accessing capacities of cell proliferation, migration, invasion, and clonogenicity as well as the apoptosis in A549 cell lines and cisplatin-resistant A549 cells treated with Wnt5a conditional medium or protein kinase C (PKC) inhibitor GF109203X. Results showed that the noncanonical Wnt signaling ligand, Wnt5a, could promote the proliferation, migration, invasion, and colony formation in A549 lung adenocarcinoma cells and cisplatin-resistant A549/DDP cells and increase the fraction of ALDH-positive cell in A549/DDP cells. An exposure of cells to Wnt5a led to a significant reduction of A549/DDP cell apoptosis but not A549 cells. An addition of GF109203X could both strikingly increase the baseline apoptosis and resensitize the Wnt5a-inhibited cell apoptosis. Interestingly, an inhibition of Wnt/PKC signaling pathway could reduce properties of lung cancer stem cells, promote cell apoptosis, and resensitize cisplatin-resistant cells to cisplatin via a caspase/AIF-dependent pathway. These data thus suggested that the Wnt5a could promote lung cancer cell mobility and cisplatin-resistance through a Wnt/PKC signaling pathway and a blockage of this signaling may be an alternative therapeutic strategy for NSCLC patients with resistance to chemotherapies.
Clumpy filaments of the Chamaeleon I cloud: C$\mathsf{^{18}}$O mapping with the SEST

The Chamaeleon  dark cloud (Cha ) has been mapped in C 18 O( J = 1−0) with an angular resolution of 1 � using the SEST telescope. The large scale structures previously observed with lower spatial resolution in the cloud turn into a network of clumpy filaments. The automatic Clumpfind routine developed by Williams et al. (1994) is used to identify individual clumps in a consistent way. Altogether 71 clumps were found and the total mass of these clumps is 230 M� . The dense "cores" de- tected with the NANTEN telescope (Mizuno et al. 1999) and the very cold cores detected in the ISOPHOT serendipity survey (Toth et al. 2000) form parts of these filaments but decompose into numerous "clumps". The filaments are preferentially ori- ented at right angles to the large-scale magnetic field in the region. We discuss the cloud structure, the physical characteristics of the clumps and the distribution of young stars. The observed clump mass spectrum is compared with the predictions of the turbulent fragmentation model of Padoan & Nordlund (2002). Agreement is found if fragmentation has been driven by very large-scale hypersonic turbulence, and if by now it has had time to dissipate into modestly supersonic turbulence in the inter- clump gas. According to numerical simulations, large-scale turbulence should have resulted in filamentary structures as seen in Cha . The well-oriented magnetic field does not, however, support this picture, but suggests magnetically steered large-scale collapse. The origin of filaments and clumps in Cha  is thus controversial. A possible solution is that the characterization of the driving turbulence fails and that in fact different processes have been effective on small and large scales in this cloud.
Constraints on the Diverse Progenitors of GRBs from the Large‐Scale Environments

The pursuit of the progenitors of short duration‐hard spectrum gamma‐ray bursts (SHBs) draws strongly upon similar quests for the origin of supernovae (SNe) and long duration‐soft spectrum GRBs (LSBs). Indeed the notion that, in the absence of smoking guns, the progenitors of cosmic explosions betray their identities both on the global and local scale, motivates the study of SHB redshifts, host galaxies, and locations with respect to hosts. To this end, we suggest both a historical and emergent physical analogy of GRBs with SNe: long‐soft GRBs are to core‐collapsed supernovae as short‐hard GRBs are to Type Ia supernovae (“LSB:CC::SHB:Ia”). Still, the SHB progenitor pursuit is just beginning and we caution that while there are some substantive differences between observations of LSBs and SHBs on large‐scales, particularly in host demographics, neither the offset nor the redshift distributions of SHBs are yet (statistically) distinct with those of LSBs.
Unicode-based graphemic systems for limited resource languages

Large vocabulary continuous speech recognition systems require a mapping from words, or tokens, into sub-word units to enable robust estimation of acoustic model parameters, and to model words not seen in the training data. The standard approach to achieve this is to manually generate a lexicon where words are mapped into phones, often with attributes associated with each of these phones. Contextdependent acoustic models are then constructed using decision trees where questions are asked based on the phones and phone attributes. For low-resource languages, it may not be practical to manually generate a lexicon. An alternative approach is to use a graphemic lexicon, where the “pronunciation” for a word is defined by the letters forming that word. This paper proposes a simple approach for building graphemic systems for any language written in unicode. The attributes for graphemes are automatically derived using features from the unicode character descriptions. These attributes are then used in decision tree construction. This approach is examined on the IARPA Babel Option Period 2 languages, and a Levantine Arabic CTS task. The described approach achieves comparable, and complementary, performance to phonetic lexicon-based approaches.
Macrophage Clearance of Neutrophil Extracellular Traps Is a Silent Process

Neutrophil extracellular traps (NETs) facilitate the extracellular killing of pathogens. However, in recent years, excessive NET formation has been implicated in several pathological conditions. Indeed, NETs that are not removed from tissues or from the circulation might serve to trigger autoimmune responses. We observed that physiological amounts of DNase I do not suffice to completely degrade NETs in vitro, suggesting that additional mechanisms are required for the removal of these extracellular structures. We show in this article that human monocyte–derived macrophages are able to engulf NETs in a cytochalasin D–dependent manner, indicating that this is an active, endocytic process. Furthermore, preprocessing of NETs by DNase I facilitated their clearance by macrophages. In addition, both recombinant C1q and endogenous C1q derived from human serum were found to opsonize NETs, and this facilitated NET clearance. Upon internalization, NETs were apparently degraded in lysosomes, as treatment with chloroquine led to accumulation of extranuclear DNA in human monocyte–derived macrophages. Finally, uptake of NETs alone did not induce proinflammatory cytokine secretion, whereas LPS-induced production of IL-1β, IL-6, and TNF-α was promoted by the uptake of NETs. In summary, we show that macrophages are capable of clearance of NETs and that this occurs in an immunologically silent manner.
Advances in Electrocardiogram Signal Processing and Analysis

Since itsinvention by the Dutchman Willem Einthoven (1860–1927) during the late 19th and early 20th centuries, when it was little more than a scientific curiosity, the elec-trocardiogram (ECG) has developed into one of the most important and widely used quantitative diagnostic tools in medicine. It is essential for the identification of disorders of the cardiac rhythm, extremely useful for the diagnosis and management of heart abnormalities such as myocardial in-farction (heart attack), and it offers helpful clues to the presence of generalized disorders that affect the rest of the body, such as electrolyte disturbances and drug intoxication. Recording and analysis of the ECG now involve a considerable amount of signal processing; for S/N enhancement , beat detection and delineation, automated classification , compression, hidden information extraction, and dynamic modeling. These involve a whole variety of innovative signal processing methods, including adaptive techniques, time-frequency and timescale procedures, artificial neural networks and fuzzy logic, higher-order statistics and nonlin-ear schemes, fractals, hierarchical trees, Bayesian approaches, and parametric models, amongst others. This special issue reviews the current status of ECG signal processing and analysis, with particular regard to recent innovations. It reports major achievements by academic and commercial research institutions and individuals, and provides an insight into future developments within this exciting and challenging area. It is perhaps appropriate that a special issue of EURASIP JASP be devoted to ECG signal processing and analysis, since the ECG is now celebrating its centennial (Dijk and Van Loon [1]). The first paper, " Multiadaptive bionic wavelet transform: application to ECG denoising and baseline wandering reduction , " by O. Sayadi and M. B. Shamsollahi, describes a new modified wavelet transform that can be used to remove a wide range of noise from an ECG signal. Signal decomposition is obtained using the bionic wavelet transform, adap-tively determining both the center frequency of each scale, together with the T-function. A threshold rule is then applied. The method was tested with both real and simulated ECG signals. Results demonstrate a significantly better noise reduction compared with standard wavelet transform techniques ; the average signal-to-noise ratio improved by a factor of 1.82 (best case). The method also produced better results in relation to baseline wandering calculations for both DC components and shifts. The second paper, " Hardware implementation of a modified delay-coordinate mapping-based QRS complex detection algorithm, " by Matej Cvikl et al., describes a QRS detection algorithm specifically designed …
Pharmacological Characterization of an Antisense Knockdown Zebrafish Model of Dravet Syndrome: Inhibition of Epileptic Seizures by the Serotonin Agonist Fenfluramine

Dravet syndrome (DS) is one of the most pharmacoresistant and devastating forms of childhood epilepsy syndromes. Distinct de novo mutations in the SCN1A gene are responsible for over 80% of DS cases. While DS is largely resistant to treatment with existing anti-epileptic drugs, promising results have been obtained in clinical trials with human patients treated with the serotonin agonist fenfluramine as an add-on therapeutic. We developed a zebrafish model of DS using morpholino antisense oligomers (MOs) targeting scn1Lab, the zebrafish ortholog of SCN1A. Zebrafish larvae with an antisense knockdown of scn1Lab (scn1Lab morphants) were characterized by automated behavioral tracking and high-resolution video imaging, in addition to measuring brain activity through local field potential recordings. Our findings reveal that scn1Lab morphants display hyperactivity, convulsive seizure-like behavior, loss of posture, repetitive jerking and a myoclonic seizure-like pattern. The occurrence of spontaneous seizures was confirmed by local field potential recordings of the forebrain, measuring epileptiform discharges. Furthermore, we show that these larvae are remarkably sensitive to hyperthermia, similar to what has been described for mouse models of DS, as well as for human DS patients. Pharmacological evaluation revealed that sodium valproate and fenfluramine significantly reduce epileptiform discharges in scn1Lab morphants. Our findings for this zebrafish model of DS are in accordance with clinical data for human DS patients. To our knowledge, this is the first study demonstrating effective seizure inhibition of fenfluramine in an animal model of Dravet syndrome. Moreover, these results provide a basis for identifying novel analogs with improved activity and significantly milder or no side effects.
Measuring website similarity using an entity-aware click graph

Query logs record the actual usage of search systems and their analysis has proven critical to improving search engine functionality. Yet, despite the deluge of information, query log analysis often suffers from the sparsity of the query space. Based on the observation that most queries pivot around a single entity that represents the main focus of the user's need, we propose a new model for query log data called the entity-aware click graph. In this representation, we decompose queries into entities and modifiers, and measure their association with clicked pages. We demonstrate the benefits of this approach on the crucial task of understanding which websites fulfill similar user needs, showing that using this representation we can achieve a higher precision than other query log-based approaches.
Exploding Offers and Buy-Now Discounts

A common sales tactic is for a seller to encourage a potential customer to make her purchase decision quickly, before she can investigate rival deals in the market. We consider a market with sequential consumer search in which …rms can achieve this either by making an exploding oer (which permits no return once the consumer leaves) or by oering a buy-now discount (which makes the price paid for immediate purchase lower than the regular price). We show that …rms often have an incentive to use these sales techniques, regardless of their ability to commit to their selling policy. We examine the impact of these sales techniques on market performance. Inducing consumers to buy quickly not only reduces the quality of the match between consumers and products, but may also raise market prices.
Person re-identification using semantic color names and RankBoost

We address the problem of appearance-based person re-identification, which has been drawing an increasing amount of attention in computer vision. It is a very challenging task since the visual appearance of a person can change dramatically due to different backgrounds, camera characteristics, lighting conditions, view-points, and human poses. Among the recent studies on person re-id, color information plays a major role in terms of performance. Traditional color information like color histogram, however, still has much room to improve. We propose to apply semantic color names to describe a person image, and compute probability distribution on those basic color terms as image descriptors. To be better combined with other features, we define our appearance affinity model as linear combination of similarity measurements of corresponding local descriptors, and apply the RankBoost algorithm to find the optimal weights for the similarity measurements. We evaluate our proposed system on the highly challenging VIPeR dataset, and show improvements over the state-of-the-art methods in terms of widely used person re-id evaluation metrics.
Optimization of RFID Based Wireless Navigation

The performance of wheelchair is based on avoidance of obstacles prematurely keeping the time constraint. As the wheelchair moves, the sensory system helps in avoiding the obstacles whereas RFID is used for localization. If the obstacles are permanent, every time sensory system will be used. Hence the optimization will be required to constraint the time taken and the distance travelled used by this sensory system. This paper proposes an algorithm to optimize the path planning with the help of an ant colony optimization. For navigation, path optimization is a critical combinatorial problem. The performance of an algorithm has been evaluated using the simulation approach. The performance is in terms of time taken to reach the destination and distance travelled. When the destination point is assigned the algorithm will evaluate the shortest distance in less time to reach to its destination.
Test-Suite Augmentation for Evolving Software

One activity performed by developers during regression testing is test-suite augmentation, which consists of assessing the adequacy of a test suite after a program is modified and identifying new or modified behaviors that are not adequately exercised by the existing test suite and, thus, require additional test cases. In previous work, we proposed MATRIX, a technique for test-suite augmentation based on dependence analysis and partial symbolic execution. In this paper, we present the next step of our work, where we (I) improve the effectiveness of our technique by identifying all relevant change-propagation paths, (2) extend the technique to handle multiple and more complex changes, (3) introduce the first tool that fully implements the technique, and (4) present an empirical evaluation performed on real software. Our results show that our technique is practical and more effective than existing test-suite augmentation approaches in identifying test cases with high fault-detection capabilities.
The Hedgehog Transcription Factor Gli3 Modulates Angiogenesis

Rationale: The Gli transcription factors are mediators of Hedgehog (Hh) signaling and have been shown to play critical roles during embryogenesis. Previously, we have demonstrated that the Hh pathway is reactivated by ischemia in adult mammals, and that this pathway can be stimulated for therapeutic benefit; however, the specific roles of the Gli transcription factors during ischemia-induced Hh signaling have not been elucidated. Objective: To investigate the role of Gli3 in ischemic tissue repair. Methods and Results: Gli3-haploinsufficient (Gli3+/−) mice and their wild-type littermates were physiologically similar in the absence of ischemia; however, histological assessments of capillary density and echocardiographic measurements of left ventricular ejection fractions were reduced in Gli3+/− mice compared to wild-type mice after surgically induced myocardial infarction, and fibrosis was increased. Gli3-deficient mice also displayed reduced capillary density after induction of hindlimb ischemia and an impaired angiogenic response to vascular endothelial growth factor in the corneal angiogenesis model. In endothelial cells, adenovirus-mediated overexpression of Gli3 promoted migration (modified Boyden chamber), small interfering RNA–mediated downregulation of Gli3 delayed tube formation (Matrigel), and Western analyses identified increases in Akt phosphorylation, extracellular signal-regulated kinase (ERK)1/2 activation, and c-Fos expression; however, promoter–reporter assays indicated that Gli3 overexpression does not modulate Gli-dependent transcription. Furthermore, the induction of endothelial cell migration by Gli3 was dependent on Akt and ERK1/2 activation. Conclusions: Collectively, these observations indicate that Gli3 contributes to vessel growth under both ischemic and nonischemic conditions and provide the first evidence that Gli3 regulates angiogenesis and endothelial cell activity in adult mammals.
Simulated S-band satellite-to-indoor link, measurement results and channel characterization

This paper is aimed at characterization of satellite-to-indoor communication channel. Results from measurement campaign simulating a satellite-to-indoor link are presented here. A wideband, directive channel sounder was placed inside several buildings, receiving signal from transmitter carried by a helicopter. Measurements results in the form of elevation dependent building penetration losses for various measurement sites are presented. Results in terms of delay spread are also provided for chosen measurement sites.
Cooperative spectrum sensing with per-user power constraints

In collaborative spectrum sensing, the presence of the primary user is detected at a central entity, known as the fusion center. This center collects the information from the secondary users and decides on the occupancy of the desired frequency band. In the conventional strategy, the secondary users transmit their initial observations toward the fusion center with their maximum transmit powers. In this paper, however, we consider the problem of beamforming among the secondary users with individual power constraints. Correlated shadow fading has been considered in the channel gains between the primary transmitter and the secondary users as well as the channel gains between the secondary users and the fusion center. We consider the problem of maximizing the probability of detection for a required probability of false alarm. Most previous works have considered the total power constraint while in practical scenarios, each secondary user has a limited battery lifetime. An algorithm is developed which efficiently solves the problem via second order cone programming (SOCP) in an iterative manner. An approximation of the original problem is studied which reduces the computational complexity of the iterative procedure. The Monte Carlo simulations confirm the effectiveness of the spectrum sensing framework compared to the conventional strategy.