Miracle-dz/UniFAR-FTUs huggingface dataset:
The PI3K inhibitor taselisib overcomes letrozole resistance in a breast cancer model expressing aromatase

Letrozole is a commonly used treatment option for metastatic hormone receptor-positive (HR+) breast cancer, but many patients ultimately relapse. Due to the importance of phosphoinositide-3 kinase (PI3K) in breast cancer, PI3K inhibitors such as taselisib are attractive for combination with endocrine therapies such as letrozole. Taselisib was evaluated as a single agent and in combination with letrozole in a breast cancer cell line engineered to express aromatase. The combination of taselisib and letrozole decreased cellular viability and increased apoptosis relative to either single agent. Signaling cross-talk between the PI3K and ER pathways was associated with efficacy for the combination. In a secreted factor screen, multiple soluble factors, including members of the epidermal and fibroblast growth factor families, rendered breast cancer cells non-responsive to letrozole. It was discovered that many of these factors signal through the PI3K pathway and cells remained sensitive to taselisib in the presence of the soluble factors. We also found that letrozole resistant lines have elevated PI3K pathway signaling due to an increased level of p110α, but are still sensitive to taselisib. These data provide rationale for clinical evaluation of PI3K inhibitors to overcome resistance to endocrine therapies in ER+ breast cancer.
Mechanisms for efficient integration of RSSI in localization and tracking with wireless camera networks

This paper proposes a scheme that exploits synergies between RSSI and camera measurements in object localization and tracking using Wireless Camera Networks (WCN). It is based on three main mechanisms: a training method that accurately adapts RSSI-range models to the particular environment; a sensor activation/deactivation method that balances the different information contribution and energy consumptions of camera and RSSI measurements; and a distributed Information Filter to integrate the available measurements. The joint use of these mechanisms drastically reduces energy consumption -40% with no significant degradation w.r. t. existing schemes based on only cameras and shows better robustness to target occlusions. The scheme has been implemented and validated in the indoor CONET Integrated Testbed.
Replication strategies in unstructured peer-to-peer networks

The Peer-to-Peer (P2P) architectures that are most prevalent in today's Internet are decentralized and unstructured. Search is blind in that it is independent of the query and is thus not more effective than probing randomly chosen peers. One technique to improve the effectiveness of blind search is to proactively replicate data. We evaluate and compare different replication strategies and reveal interesting structure: Two very common but very different replication strategies - uniform and proportional - yield the same average performance on successful queries, and are in fact worse than any replication strategy which lies between them. The optimal strategy lies between the two and can be achieved by simple distributed algorithms. These fundamental results o.er a new understanding of replication and show that currently deployed replication strategies are far from optimal and that optimal replication is attainable by protocols that resemble existing ones in simplicity and operation.
The Meaning of Global Outcome Measures in Pain Clinical Trials: More Than Just Change in Pain Intensity

Objectives:To understand the factors that contribute to patient and physician global outcome ratings and the extent to which receiving different doses of opioids or placebo might influence the importance of these factors better. Methods:A secondary analysis was performed using data from a prospective, multicenter, double-blind placebo-controlled, and active-controlled parallel group dose-ranging study comparing the efficacy of oxymorphone extended release (ER) 20 mg (ER20, N=121); oxymorphone ER 40 mg (ER40, N=121); oxycodone controlled release 20 mg (Oxy20, N=125); and placebo (N=124) in a sample of patients with osteoarthritis. We performed 2 regression analyses to identify the predictors of pretreatment to posttreatment improvement in patient and physician global ratings of arthritis status. Results:Improvement in global ratings of arthritis status was strongly associated with a decrease in pain intensity. Pretreatment to posttreatment improvement in physical and psychological functioning made independent contributions to the prediction of both criterion variables. Discussion:The findings underscore the importance of change in pain intensity as a key correlate of ratings of global improvement. However, pain intensity is not the only important factor. In the current sample, improvement in both physical and psychological functioning made independent contributions to improvements in ratings of osteoarthritis status, supporting global ratings as assessing multicomponent domains. Overall, the findings suggest that when a patient or physician reports that the patient is “doing better,” the patient is likely reporting less pain intensity and engaging in more physical activity and feeling better emotionally.
A low-power VLIW processor for 3GPP-LTE complex numbers processing

New generation of telecommunication applications requires highly efficient processing units to tackle with the increasing signal processing algorithmic complexity. They also need to be flexible for handling a large range of radio access technology with specifications moving very fast. As devices including telecommunication features are, per nature, mobile, the high level of flexibility must be achieved while preserving very low power consumption. In this paper, a high performance low-power application-specific processor is proposed for complex signal processing. Thanks to dedicated control architecture, this processor exhibits an average 81% utilization rate of its principal operator, a complex MAC for a 3GPP-LTE application. The main innovations are the use of a reconfigurable profile and instruction cache strategy to reduce power consumption. This leads to a 10× reduction of the control power consumption. As a result, an average 50 mW power consumption is measured after implementation in a low-power 65 nm technology while delivering 3.2 GOPS. Finally, a comparison with state-of-the-art low-power DSP shows at least 24 % gain.
Ficolin-3–mediated lectin complement pathway activation in patients with subarachnoid hemorrhage

Objectives: To assess the involvement of ficolin-3, the main initiator of the lectin complement pathway (LCP), in subarachnoid hemorrhage (SAH) pathology and outcome. Methods: In this preliminary exploratory study, plasma concentration of ficolin-3 and of ficolin-3–mediated functional LCP activity was measured, along with that of other LCP initiators (mannose-binding lectin, ficolin-2, and ficolin-1), C3 activation products, and soluble C5b-9 terminal complex, in a prospective cohort of 39 patients with SAH and 20 healthy controls. The following parameters were recorded: SAH severity, assessed using the World Federation of Neurosurgical Societies grading scale; vasospasm, defined as neuro-worsening with angiographic confirmation of vessel narrowing; cerebral ischemia, defined as hypodense lesion on CT scan performed before discharge; and 6-month outcome, assessed using the Glasgow Outcome Scale. Results: In patients, no changes were detected for ficolin-3 compared with controls. Notably, however, ficolin-3–mediated functional LCP activity was reduced. Low levels of plasma ficolin-3 and ficolin-3–mediated functional LCP activity were related to SAH severity, vasospasm, and cerebral ischemia. Moreover, ficolin-3 functional LCP activity was decreased in patients with unfavorable outcome. Conclusion: Our data provide evidence that LCP is activated after SAH and that the actual plasma concentrations of ficolin-3 reflect the severity of brain injury as evaluated by clinical and structural parameters. These results support the idea that ficolin-3–mediated functional LCP activity may be targeted to control injury progression in SAH.
DNN-HMM Based Multilingual Recognizer of Telephone Speech

Tato práce se zab ̋vá problematikou multilingválního akustického modelování zaloûeného na sdíleném fonetickém inventá i pro 5 v ̋chodoevropsk ̋ch jazyk : eötinu, slovenötinu, polötinu, ma arötinu a ruötinu, které jsou dostupné v souboru databází telefonních signál SpeechDat-E. Jelikoû dostupné v ̋slovnostní slovníky v jednotliv ̋ch databázích obsahují v ̋slovnosti za pouûití SAMPA abeced s neustálenou konvencí nap í í jazyky, není pouûit pro stejné hlásky v r zn ̋ch jazycích stejn ̋ symbol. Byla proto vytvo ena jednotící reprezentace na úrovni foném pro vöechny pouûité jazyky na bázi X-SAMPA abecedy a tím zajiöt na jednotná reprezentace hlásek nap í jazyky. P ínos multiligválního akustického modelu byl analyzován na úloze rozpoznávání spojité e i. Byla provedena anal ̋za dvou realizací akustického modelování v LVCSR: tj. byl pouûit standardní GMM-HMM (Gaussian Mixture Model-Hidden Markov Model) a DNN-HMM architektura. Vlastní experimenty byly provedeny pro LVCSR s akustick ̋m modelem pro jednotlivé jazyky a pro mutilingvální systém. Jednotlivé systémy automatického rozpoznávání e i byly realizovány pomocí nástroj Kaldi. Jedním z cíl této práce je poskytnout základní návod pro pouûívání Kaldi a vytvo it vzorovou implementaci (angl. recipe) s databázemi z ady SpeechDat. V závislosti na jazyku se nejlepöí dosaûená úsp önost GMM-HMM sytému pohybovala v rozmezí 18%-28%WER. DNN-HMM systém p inesl zlepöení v pr m ru o 4%WER. Pro multi-lingvální HMM systém se pak v ̋sledky pohybovaly v rozmezí od 25%-37%WER. Pouûití DNN p ineslo nakonec dalöí v ̋razné sníûeníWER, v p ípad multilingválního systému v pr m ru o 9% pro vöech 5 jazyk . Klí ová slova rozpoznávání spojité e i; LVCSR; GMM-HMM systém; DNN-HMM systém; multilingvální systém; akustické modelování; IPA; SAMPA; X-SAMPA; Kaldi
"speech Is Silver, but Silence Is Golden": Improving Speech-to-speech Translation Performance by Slashing Users Input

Speech-to-speech translation is a challenging task mixing two of the most ambitious Natural Language Processing challenges: Machine Translation (MT) and Automatic Speech Recognition (ASR). Recent advances in both fields have led to operational systems achieving good performance when used in matching conditions with those of ASR and MT models training. Regardless of the quality of these models, errors are inevitable due to some technical limitations of the systems (e.g. closed vocabulary) and intrinsic ambiguities of spoken languages. However all ASR and MT errors don’t have the same impact on the usability of a given speech-to-speech dialog system: some can be very benign, unconsciously corrected by users, some can damage the understanding between users and eventually lead the dialog to a failure. We present in this paper a strategy focusing on ASR error segments that have a high negative impact on MT performance. We propose a method that consists firstly in automatically detecting these erroneous segments then secondly estimating their impact on MT. We show that removing such segments prior to translation can lead to a significant decrease in translation error rate, even without any correction strategy.
Deduping the Internet: An email case study

Much of the traffic that traverses the Internet each day is redundant. That is, some or all of the data content has been sent previously. From a technical viewpoint, this represents a waste of resources, in terms of network bandwidth, storage, and energy efficiency. This paper presents an initial feasibility study to assess the potential of data deduplication technologies to reduce Internet traffic. The case study focuses on electronic mail (email), using an email dataset collected over the past 8 years. The results from this longitudinal study suggest that the size, complexity, and redundancy of email messages have all increased over this time duration, as has the complexity of the email delivery infrastructure. The results indicate that bandwidth savings of 30-45% are possible using existing redundant traffic elimination techniques on email messages.
GPU-based lighting and shadowing of complex natural scenes

Rendering realistic natural scenes in real-time is a challenging topic in the field of computer graphics. More specifically, we want to render scenes that contain complex shapes bounded in a layer above a surface. Landscapes (e.g., terrain, vegetation) are examples of such scenes. Lightings and shadows are essential elements toward realism because they help understanding shapes. However: - Using polygonal meshes and classical shadowing algorithms are too costly in terms of computation for complex scenes; - Adapted algorithms for dedicated representations such height-fields are efficient, but these representations are too limited for our needs (e.g. forest); - Although more powerful representations like surfels or texels exist, algorithms for quality and efficient lighting and shadowing are not available yet. Thus, our goal is to propose lighting and shadowing techniques adapted to such representations as well as the GPU.
Development of a Human Model for the Study of Effects of Hypoxia, Exercise, and Sildenafil on Cardiac and Vascular Function in Chronic Heart Failure

Background: Pulmonary hypertension is associated with poor outcome in patients with chronic heart failure (CHF) and may be a therapeutic target. Our aims were to develop a noninvasive model for studying pulmonary vasoreactivity in CHF and characterize sildenafil's acute cardiovascular effects. Methods and Results: In a crossover study, 18 patients with CHF participated 4 times [sildenafil (2 × 20 mg)/or placebo (double-blind) while breathing air or 15% oxygen] at rest and during exercise. Oxygen saturation (SaO2) and systemic vascular resistance were recorded. Left and right ventricular (RV) function and transtricuspid systolic pressure gradient (RVTG) were measured echocardiographically. At rest, hypoxia caused SaO2 (P = 0.001) to fall and RVTG to rise (5 ± 4 mm Hg; P = 0.001). Sildenafil reduced SaO2 (−1 ± 2%; P = 0.043), systemic vascular resistance (−87 ± 156 dyn·s−1·cm−2; P = 0.034), and RVTG (−2 ± 5 mm Hg; P = 0.05). Exercise caused cardiac output (2.1 ± 1.8 L/min; P < 0.001) and RVTG (19 ± 11 mm Hg; P < 0.0001) to rise. The reduction in RVTG with sildenafil was not attenuated by hypoxia. The rise in RVTG with exercise was not substantially reduced by sildenafil. Conclusions: Sildenafil reduces SaO2 at rest while breathing air, this was not exacerbated by hypoxia, suggesting increased ventilation–perfusion mismatching due to pulmonary vasodilation in poorly ventilated lung regions. Sildenafil reduces RVTG at rest and prevents increases caused by hypoxia but not by exercise. This study shows the usefulness of this model to evaluate new therapeutics in pulmonary hypertension.
PCA-Correlated SNPs for Structure Identification in Worldwide Human Populations

Existing methods to ascertain small sets of markers for the identification of human population structure require prior knowledge of individual ancestry. Based on Principal Components Analysis (PCA), and recent results in theoretical computer science, we present a novel algorithm that, applied on genomewide data, selects small subsets of SNPs (PCA-correlated SNPs) to reproduce the structure found by PCA on the complete dataset, without use of ancestry information. Evaluating our method on a previously described dataset (10,805 SNPs, 11 populations), we demonstrate that a very small set of PCA-correlated SNPs can be effectively employed to assign individuals to particular continents or populations, using a simple clustering algorithm. We validate our methods on the HapMap populations and achieve perfect intercontinental differentiation with 14 PCA-correlated SNPs. The Chinese and Japanese populations can be easily differentiated using less than 100 PCA-correlated SNPs ascertained after evaluating 1.7 million SNPs from HapMap. We show that, in general, structure informative SNPs are not portable across geographic regions. However, we manage to identify a general set of 50 PCA-correlated SNPs that effectively assigns individuals to one of nine different populations. Compared to analysis with the measure of informativeness, our methods, although unsupervised, achieved similar results. We proceed to demonstrate that our algorithm can be effectively used for the analysis of admixed populations without having to trace the origin of individuals. Analyzing a Puerto Rican dataset (192 individuals, 7,257 SNPs), we show that PCA-correlated SNPs can be used to successfully predict structure and ancestry proportions. We subsequently validate these SNPs for structure identification in an independent Puerto Rican dataset. The algorithm that we introduce runs in seconds and can be easily applied on large genome-wide datasets, facilitating the identification of population substructure, stratification assessment in multi-stage whole-genome association studies, and the study of demographic history in human populations.
Perceptual feature-based song genre classification using RANSAC

In the context of a content-based music retrieval system or archiving digital audio data, genre-based classification of song may serve as a fundamental step. In the earlier attempts, researchers have described the song content by a combination of different types of features. Such features include various frequency and time domain descriptors depicting the signal aspects. Perceptual aspects also have been combined along with. A listener perceives a song mostly in terms of its tempo rhythm, periodicity, pitch and their variation and based on those recognises the genre of the song. Motivated by this observation, in this work, instead of dealing with wide range of features we have focused only on the perceptual aspect like melody and rhythm. In order to do so audio content is described based on pitch, tempo, amplitude variation pattern and periodicity. Dimensionality of descriptor vector is reduced and finally, random sample and consensus RANSAC is used as the classifier. Experimental result indicates the effectiveness of the proposed scheme.
Thermal aspects of field weakening implementation for robotics applications

The paper describes the implementation and tests of the field weakening algorithm for robotics applications. The tests have been done both in a test bench as well as in a robot prototype. The emphasis on the analysis has been put on the thermal behaviour of the motor at higher speeds, as this is an important limiting factor when operating in a manipulator. The field weakening region is kept under 20 % of the based speed, where the motor losses are the same or lower when compared to the normal operation
Road side unit assisted stochastic multi-hop broadcast scheme for instant emergency message propagation

VANET (Vehicular ad hoc Network) is a special kind of ad hoc wireless network where every single node is a vehicle moving in a relatively high velocity, which leads to exclusive challenges like rapid changing topologies, safety and privacy concerns. In this specific network, the propagation of emergency messages could be critical to save human lives and property. Many researchers have proposed routing or broadcast protocols to solve the problems in VANET. The objective of this paper is to propose a broadcast scheme in VANET that is not likely to cause broadcast storm problem with a reasonable delay and high delivery rate. Since VANET is an attack-prone network and any kind of malicious behaviour in VANET might cause serious loss or even death in reality, we should also refrain from using beacons to exchange privacy-sensitive information in V2V (Vehicle to Vehicle). In this paper, a multi-hop broadcast scheme that makes use of RSU and V2I (Vehicle to Infrastructure) communication is proposed. The simulation result shows that the proposed scheme outperforms static stochastic broadcast scheme in terms of delivery rate. Comparing to flooding, we offer a better delay and less network usage.
The concept of evidence

We construct an explicatum of the evidence concept, evidence logic (EL), which is conceptually antecedent to classical logic (CL), having applications in knowledge representation and knowledge processing areas of artificial intelligence (AI), and satisfying Quinean concerns by not going beyond the simplicity (viz. Boolean algebraic structure) of CL, while implementing two requirements often present in AI domains: (1) that “absence of evidence” may well not be “evidence of absence” and (2) evidence gradations. For each integer n≥2, let size n−1 evidence space be linear order En={i/(n−1): i=1,…,n−1}. For each n≥2 and each logical similarity type τ, evidence logic ELn, τ is equipped with both confirmatory and refutatory predicate symbols Rc and Rr for each τ(i)‐ary predicate, as well as evidence space En of evidence annotations for atomic formulas, while added to a usual set of logical axioms are axioms which assure that “stronger evidence strictly entails weaker evidence”; models of ELn, τ are similarly equipped, providing annotated confirmatory and refutatory relations interpreting each τ(i)‐ary predicate. Trivializing all refutatory predicates in ELn, τ yields CELn, τ, confirmatory evidence logic; also EL2, τ is viewed as absolute evidence logic AELτ, while CEL2, τ is both confirmatory and absolute and is exactly classical logic CLτ. Let μ be monadic, stipulating p propositions, k constants, and u unary predicates; let μ′ be functional, obtained by adding to μ the stipulation of one unary function; and let ν be undecidable, stipulating a finite number of predicates and functions including at least one predicate or function which is at least binary or at least two unary functions. For theory T, let BSA(T) be the Boolean sentence algebra of T, let BA(σ) be the Boolean algebra with ordered basis of order type σ, and let ≅ denote “recursive isomorphism. ” Consequences of previous work yield the characterization of EL: (1) BSA(ELn, μ)≅BA(ω n 2u ⋅n2p⋅∑ i=1kski⋅n2ui) and BSA(CELn, μ)≅BA(ω n u ⋅np⋅∑ i=1kski⋅nui), where ∑τi=1 if k=0, and ski are Stirling numbers of the second kind; (2) BSA(ELn, μ′)≅BA((ωω⋅η0+η0)⋅η0) and BSA(CELn, μ′)≅BA((ωω⋅η0+η0)⋅η0); (3) BSA(ELn, ν)≅BSA(CL〈2〉) and BSA(CELn, ν)≅BSA(CL〈2〉).
Optimal switching for smart and robust JPEG 2000 images and video transmission over wireless networks

In this paper we address the problem of switching between packet-oriented and Layer-oriented Forward Error Correction (FEC) schemes for robust JPEG 2000 images and video transmission over wireless channels. Based on an analysis of the time consumption of a smart FEC scheme, we derive an optimal switching threshold for efficient JPEG 2000 codestreams protection. The derived optimal switching threshold is particularly of interest for practical implementation of FEC rate allocation methodologies in JPEG 2000 based wireless multimedia systems.