Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust pitch tracking in the car environment

In this paper we compare four different pitch tracking algorithms - autocorrelation, cepstrum, harmonic product spectrum, and a new method based on the modulation spectrum - and investigate their fitness for noisy environments. From each tracker, possible ƒ0 candidates in every time window are stored over a 10-frame interval, and the best contour is computed through a Viterbi search. The audio data comprises speech samples recorded in a moving car with a microphone setup commonly used for car speech applications like speakerphones. To see how performances deteriorate with increasing noise level, a second audio test set is prepared by blending clean speech recordings and noise at different signal-ta-noise ratios.
Learning ground CP-logic theories by means of Bayesian network techniques

Causal relationships are present in many application domains. CP-logic is a probabilistic modeling language that is especially designed to express such relationships. This paper investigates the learning of CP-theories from examples, and focusses on structure learning. The proposed approach is based on a transformation between CP-logic theories and Bayesian networks, that is, the method applies Bayesian network learning techniques to learn a CP-theory in the form of an equivalent Bayesian network. We propose a constrained refinement operator for such networks that guarantees equivalence to a valid CP-theory. We experimentally compare our method to a standard method for learning Bayesian networks. This shows that CP-theories can be learned more efficiently than Bayesian networks given that causal relationships are present in the domain.
Torsion subgroups of rational elliptic curves over the compositum of all cubic fields

Let $E/\mathbb{Q}$ be an elliptic curve and let $\mathbb{Q}(3^\infty)$ be the compositum of all cubic extensions of $\mathbb{Q}$. In this article we show that the torsion subgroup of $E(\mathbb{Q}(3^\infty))$ is finite and determine 20 possibilities for its structure, along with a complete description of the $\overline{\mathbb{Q}}$-isomorphism classes of elliptic curves that fall into each case. We provide rational parameterizations for each of the 16 torsion structures that occur for infinitely many $\overline{\mathbb{Q}}$-isomorphism classes of elliptic curves, and a complete list of $j$-invariants for each of the 4 that do not.
System Level Performance Evaluation of LTE with MIMO and Relays in Reuse-1 IMT-Advanced Scenarios

Cellular radio systems of the next generation will have to comply with the IMT-Advanced guidelines. Advanced radio techniques must be integrated into wireless systems to achieve the high spectral efficiency numbers required. Multiple antenna techniques such as MIMO are beneficial in regions of high SINR and low spatial stream correlation. Multihop techniques with fixed relays increase the throughput in regions close to the cell edge where SINR is typically low. Another challenge is the reuse-1 paradigm which worsens the interference situation. In this paper a mathematical model on system level is proposed and applied which allows to calculate system performance measures such as spectral efficiency. The MIMO model allows fast system evaluation without a lot of parameters and is therefore suitable for MAC layer simulative evaluation. The paper compares performance results for these techniques.
Leveraging experience for large-scale LIDAR localisation in changing cities

Recent successful approaches to autonomous vehicle localisation and navigation typically involve 3D LIDAR scanners and a static, curated 3D map, both of which are expensive to acquire and maintain. In this paper we propose an experience-based approach to matching a local 3D swathe built using a push-broom 2D LIDAR to a number of prior 3D maps, each of which has been collected during normal driving in different conditions. Local swathes are converted to a combined 2D height and reflectance representation, and we exploit the GPU rendering pipeline to densely sample the localisation cost function to provide robustness and a wide basin of convergence. Prior maps are incrementally built into an experience-based framework from multiple traversals of the same environment, capturing changes in environment structure and appearance over time. The LIDAR localisation solutions from each prior map are fused with vehicle odometry in a probabilistic framework to provide a single pose solution suitable for automated driving. Using this framework we demonstrate real-time centimetre-level localisation using LIDAR data collected in a dynamic city environment over a period of a year.
Transition from oxcarbazepine to eslicarbazepine acetate: A single center study

There is limited clinical evidence for comparison between oxcarbazepine (OXC) and eslicarbazepine acetate (ESL) in terms of tolerability, or how to execute the change from OXC to ESL. We report the process of transitioning patients with focal epilepsy from previous OXC treatment to ESL due to tolerability problems. The rationale for change from OXC is reported, and the outcome with respective to this rationale is analyzed in terms of tolerability and efficacy.
Method for navigation and control of a magnetically guided capsule endoscope in the human stomach

The use of flexible endoscopes is the standard screening method for the upper gastrointestinal tract today. Disadvantages for the patient, due to the insertion process and often applied sedation, can be overcome with wireless capsule endoscopy (WCE). But WCE is not suited for the stomach as it can not guarantee a complete screening having no active guidance. With the magnetically guided capsule endoscopy (MGCE) a novel minimal invasive screening method for the gastrointestinal tract is being developed. With its current focus on the human stomach comes the need for a navigation and control method that is specialized for this application and its constraints. We present a new method for screening a water-filled stomach with 10 functions for basic capsule movements, special maneuvers and mode-changes. Its evaluation was done in a clinical study consisting of 53 patient and volunteer cases. The individual evaluation of each function included a statistical analysis and an operators' survey. The functions proved sufficient to reach all parts of the stomach and to acquire close-up views of the mucosa.
Multi classifier systems and forward backward feature selection algorithms to classify emotional coloured speech

Systems for the recognition of psychological characteristics such as the emotional state in real world scenarios have to deal with several difficulties. Amongst those are unconstrained environments and uncertainties in one or several input channels. However a more crucial aspect is the content of the data itself. Psychological states are highly person-dependent and often even humans are not able to determine the correct state a person is in. A successful recognition system thus has to deal with data, that is not very discriminative and often simply misleading. In order to succeed, a critical view on features and decisions is essential to select only the most valuable ones. This work presents a comparison of a common multi classifier system approach based on state of the art features and a modified forward backward feature selection algorithm with a long term stopping criteria. The second approach takes also features of the voice quality family into account. Both approaches are based on the audio modality only. The dataset used in the challenge is an in between dataset of real world datasets which are still very hard to handle and over acted datasets which were famous in the past and today are well understood.
A Unified Hierarchical Algorithm for Global Illumination with Scattering Volumes and Object Clusters

The paper presents a new radiosity algorithm that allows the simultaneous computation of energy exchanges between surface elements, scattering volume distributions, and groups of surfaces, or object clusters. The new technique is based on a hierarchical formulation of the zonal method, and efficiently integrates volumes and surfaces. In particular no initial linking stage is needed, even for inhomogeneous volumes, thanks to the construction of a global spatial hierarchy. An analogy between object clusters and scattering volumes results in a powerful clustering radiosity algorithm, with no initial linking between surfaces and fast computation of average visibility information through a cluster. We show that the accurate distribution of the energy emitted or received at the cluster level can produce even better results than isotropic clustering at a marginal cost. The resulting algorithm is fast and, more importantly, truly progressive as it allows the quick calculation of approximate solutions with a smooth convergence towards very accurate simulations. >
Interactive visualization of exceptionally complex industrial CAD datasets

Graphics hardware has dramatically evolved over the last years. Even consumer cards are able to render many million triangles per second. While this seems sufficient for most small and mid-sized scenes, many industrial CAD datasets are way to complex to be directly displayed interactively on current graphics accelerators, due to the limitations of the underlying rasterization algorithms.This project aims at interactively visualizing extremely large datasets with a software ray tracing approach. We demonstrate this using a "Boeing 777" model containing 350 million individual triangles. The model can be rendered at several frames per second including pixel-accurate shadows and highlights at full detail without any simplifications, even on a single commodity PC.
Keratinocytes in Human α and Retinoid X Receptor γ Acid Receptor Ubiquitin / Proteasome Pathway Regulates Levels of Retinoic Updated

Repeated exposure of human skin to solar UV radiation leads to premature aging (photoaging) and skin cancer. UV-induced skin damage can be ameliorated by all-transretinoic acid treatment. The actions of retinoic acid in skin keratinocytes are mediated primarily by nuclear retinoic acid receptor g (RARg) and retinoid X receptor a (RXRa). We found that exposure of cultured primary human keratinocytes to UV irradiation (30 mJ/cm) substantially reduced (50–90%) RARg and RXRa mRNA and protein within 8 h. The rates of disappearance of RARg and RXRa proteins after UV exposure or treatment with the protein synthesis inhibitor cycloheximide were similar. UV irradiation did not increase the rate of breakdown of RARg or RXRa but rather reduced their rate of synthesis. The addition of proteasome inhibitors MG132 and LLvL, but not the lysosomal inhibitor E64, prevented loss of RARg and RXRa proteins after exposure of keratinocytes to either UV radiation or cycloheximide. Soluble extracts from nonirradiated or UV-irradiated keratinocytes possessed similar levels of proteasome activity that degraded RARg and RXRa proteins in vitro. Furthermore, RAR g and RXRa were polyubiquitinated in intact cells. RXRa was found to contain two proline, glutamate/aspartate, serine, and threonine (PEST) motifs, which confer rapid turnover of many short-lived regulatory proteins that are degraded by the ubiquitin/proteasome pathway. However, the PEST motifs in RXRa did not function to regulate its stability, because deletion of the PEST motifs individually or together did not alter ubiquitination or proteasome-mediated degradation of RXRa. These results demonstrate that loss of RARg and RXRa proteins after UV irradiation results from degradation via the ubiquitin/proteasome pathway. Taken together, the data here indicate that ubiquitin/proteasome-mediated breakdown is an important mechanism regulating the levels of nuclear retinoid receptors.
FMCW MMW Radar for Automotive Longitudinal Control

This report presents information on millimeter wave (MMW) radar for automotive longitudinal control. It addresses the fundamental capabilities and limitations of millimeter waves for ranging and contrasts their operation with that of conventional microwave radar. The report analyzes pulsed and FMCW radar configurations, and provides detailed treatment of FMCW radar operating at MMW frequency, its advantages and disadvantages as they relate to range and velocity measurements.
Evidence of a Redox-Dependent Regulation of Immune Responses to Exercise-Induced Inflammation

We used thiol-based antioxidant supplementation (n-acetylcysteine, NAC) to determine whether immune mobilisation following skeletal muscle microtrauma induced by exercise is redox-sensitive in healthy humans. According to a two-trial, double-blind, crossover, repeated measures design, 10 young men received either placebo or NAC (20 mg/kg/day) immediately after a muscle-damaging exercise protocol (300 eccentric contractions) and for eight consecutive days. Blood sampling and performance assessments were performed before exercise, after exercise, and daily throughout recovery. NAC reduced the decline of reduced glutathione in erythrocytes and the increase of plasma protein carbonyls, serum TAC and erythrocyte oxidized glutathione, and TBARS and catalase activity during recovery thereby altering postexercise redox status. The rise of muscle damage and inflammatory markers (muscle strength, creatine kinase activity, CRP, proinflammatory cytokines, and adhesion molecules) was less pronounced in NAC during the first phase of recovery. The rise of leukocyte and neutrophil count was decreased by NAC after exercise. Results on immune cell subpopulations obtained by flow cytometry indicated that NAC ingestion reduced the exercise-induced rise of total macrophages, HLA+ macrophages, and 11B+ macrophages and abolished the exercise-induced upregulation of B lymphocytes. Natural killer cells declined only in PLA immediately after exercise. These results indicate that thiol-based antioxidant supplementation blunts immune cell mobilisation in response to exercise-induced inflammation suggesting that leukocyte mobilization may be under redox-dependent regulation.
Bootstrap Bartlett correction in inflated beta regression

ABSTRACT The inflated beta regression model aims to enable the modeling of responses in the intervals (0, 1], [0, 1), or [0, 1]. In this model, hypothesis testing is often performed based on the likelihood ratio statistic. The critical values are obtained from asymptotic approximations, which may lead to distortions of size in small samples. In this sense, this article proposes the bootstrap Bartlett correction to the statistic of likelihood ratio in the inflated beta regression model. The proposed adjustment only requires a simple Monte Carlo simulation. Through extensive Monte Carlo simulations the finite sample performance (size and power) of the proposed corrected test is compared to the usual likelihood ratio test and the Skovgaard adjustment already proposed in the literature. The numerical results evidence that inference based on the proposed correction is much more reliable than that based on the usual likelihood ratio statistics and the Skovgaard adjustment. At the end of the work, an application to real data is also presented.
Electrical Circuit Analysis of CO Poisoning in High-Temperature PEM Fuel Cells for Fault Diagnostics and Mitigation

High-temperature proton exchange membrane (HTPEM) fuel cells are able to withstand a substantial amount of CO poisoning while still maintaining stable output. High concentrations of CO will however degrade performance and can lead to instability. This paper presents a detailed study on the impact of CO poisoning on the performance of High-temperature PEM fuel cells and proposes a new method for mitigating the long term effects by using natural current profiles. A dedicated test setup was constructed to perform both steady state and dynamic analysis on the fuel cell under a wide range of operating conditions and variations in CO content. The drop in performance captured in the polarization curves is modeled using a simple circuit model with a dedicated fault element. The captured impedance spectra from the electrochemical impedance spectroscopy tests provide insight to the changes in the electrochemical circuit parameters that can be used to diagnose the extent of CO poisoning. Possible load control strategies that can reverse the CO poisoning is explored and the optimal profile is experimentally determined along with the long term effects.
GABAA Receptor Phospho-Dependent Modulation Is Regulated by Phospholipase C-Related Inactive Protein Type 1, a Novel Protein Phosphatase 1 Anchoring Protein

GABAA receptors are critical in controlling neuronal activity. Here, we examined the role for phospholipase C-related inactive protein type 1 (PRIP-1), which binds and inactivates protein phosphatase 1α (PP1α) in facilitating GABAA receptor phospho-dependent regulation using PRIP-1-/- mice. In wild-type animals, robust phosphorylation and functional modulation of GABAA receptors containing β3 subunits by cAMP-dependent protein kinase was evident, which was diminished in PRIP-1-/- mice. PRIP-1-/- mice exhibited enhanced PP1α activity compared with controls. Furthermore, PRIP-1 was able to interact directly with GABAA receptor β subunits, and moreover, these proteins were found to be PP1α substrates. Finally, phosphorylation of PRIP-1 on threonine 94 facilitated the dissociation of PP1α-PRIP-1 complexes, providing a local mechanism for the activation of PP1α. Together, these results suggest an essential role for PRIP-1 in controlling GABAA receptor activity via regulating subunit phosphorylation and thereby the efficacy of neuronal inhibition mediated by these receptors.
Aequorin response facilitation and intracellular calcium accumulation in molluscan neurones

1. When molluscan neural somata are filled with the calcium‐indicating photo‐protein aequorin and subjected to a 1 Hz train of depolarizing pulses (0·3 sec duration to + 15 mV) under voltage clamp, the successive photo‐emissions due to calcium influx facilitate. The origin of this phenomenon was investigated in identified neurones from the abdominal ganglion of Aplysia californica.
PSC-RED, an Albumin-Free Robust Erythroid Differentiation Method to Produce Enucleated Red Blood Cells from Human Pluripotent Stem Cells

Cultured red blood cells (cRBCs) have many potential applications in transfusion medicine and drug delivery. We report that we have developed chemically defined, albumin-free Robust Erythroid Differentiation (RED) methods to produce enucleated cRBCs from human induced pluripotent stem cells (iPSCs). Human iPSC-derived cRBCs produced with either the short or long variation of the RED protocol respectively express embryonic/fetal or a mixture of fetal and adult hemoglobins. The long version of the protocol produces up to 50% of enucleated cells at an unprecedented yield. RED is scalable and relies on inexpensive components and therefore dramatically increases the feasibility and economic viability of all translational applications of cRBCs. Highlights PSC-RED: A chemically-defined, albumin-free Robust Erythroid Differentiation (RED) methods to produce cRBCs from human induced pluripotent stem cells. PSC-RED produces up to 50% enucleated cells at an unprecedented yield. PSC-RED is scalable and relies on inexpensive components and therefore increases the feasibility and economic viability of translational applications of cRBCs.
Data Mining Algorithms And Medical Sciences

Extensive amounts of data stored in medical databases require the development of dedicated tools for accessing the data, data analysis, knowledge discovery, and effective use of sloretl knowledge and data. Widespread use of medical information systems and explosive enlargement of medical databases require conventional manual data analysis to be coupled with methods for competent computer-assisted analysis. In this paper, I use Data Mining techniques for the data analysis, data accessing and knowledge discovery procedure to show experimentally and practically that how consistent, able and fast are these techniques for the study in the particular field? A solid mathematical threshold (0 to 1) is set to analyze the data. The obtained outcome will be tested by applying the approach to the databases, data warehouses and any data storage of different sizes with different entry values. The results shaped will be of different level from short to the largest sets of tuple. By this, we may take the results formed for different use e.g. Patient investigation, frequency of different disease.
A cross-architectural interface for code cache manipulation

Software code caches help amortize the overhead of dynamic binary transformation by enabling reuse of transformed code. Since code caches contain a potentially-altered copy of every instruction that executes, run-time access to a code cache can be a very powerful opportunity. Unfortunately, current research infrastructures lack the ability to model and direct code caching, and as a result, past code cache investigations have required access to the source code of the binary transformation system. This paper presents a code cache-aware interface to the pin dynamic instrumentation system. While a program executes, our interface allows a user to inspect the code cache, receive callbacks when key events occur, and manipulate the code cache contents at will. We demonstrate the utility of this interface on four architectures (IA32, EM64T, IPF, XScale) and present several tools written using our API. These tools include a self-modifying code handler, a two-phase instrumentation analyzer, a code cache visualizer, and custom code cache replacement policies. We also show that tools written using our interface have comparable performance to direct, source-level implementations. Both our interface and sample open-source tools that utilize the interface have been incorporated into the standard distribution of the pin dynamic instrumentation engine, which has been downloaded over 5,000 times in 18 months.
A Performance Evaluation of Multi-Level Transaction Management

Multi-level transactions are a variant of open nested transactions in which the subtransactions correspond to operations at different levels of a layered system architecture. The point of multi-level transactions is that the semantics of high-level operations can be exploited in order to increase concurrency. As a consequence, undoing a transaction requires compensation of completed subtransactions. In addition, multi-level recovery methods have to take into account that highlevel operations are not necessarily atomic if multiple pages are updated in a single subtransaction. This paper presents a performance evaluation of the multi-level transaction management that is implemented in the database kernel system DASDBS. In particular, it is shown that multi-level recovery can be implemented in an efficient way. We discuss performance measurements, using a synthetic benchmark for processing complex objects in a multi-user environment.
An Integrated Measure and Location Method Based on Airborne 2D Laser Scanning Sensor for UAV's Power Line Inspection

Real-time and reliable autonomous navigation measure and location method is crucial for unmanned air vehicles(UAVs) power line inspection autonomous flight. A new two phase's measure and location method of using onboard two-dimensional (2D) laser scanning sensor for UAV autonomous continues flight is introduced. To solve real-time and reliable problems of terrain matching, a novel UAV terrain contour match method of multi-path terrain matching based on 2D plane laser radar is proposed. Laser scanning sensor is introduced to provide terrain scanning data and location. An improved multi-path terrain elevation contour matching algorithm is introduced to promote flexibility and real-time performance in second flight phase of power line inspection. Simulation results demonstrate the feasibility of the proposed method for UAVs. The experimental result shows that the improved terrain matching algorithm will provide more efficient and effective measure and location integrating ability for future UAVs autonomous flight and control.