Miracle-dz/UniFAR-FTUs huggingface dataset:
Remodeling in asthma and COPD – differences and similarities

Background: Asthma and chronic obstructive pulmonary disease (COPD) are both inflammatory disorders. Diagnosis of these diseases is based upon limitation of expiratory airflow. The pathophysiological correlates to this impaired lung function are complex but they are associated with the development of structural changes in the airways and lung parenchyma. These remodeling processes differ between the two diseases. In asthma, airways obstruction is predominately located in the large airways, although recent studies indicate that inflammation and structural changes also is present in other compartments of the lungs. In COPD, remodeling of the small airways and lung parenchyma are the main correlates to the limitation of expiratory airflow. However, both asthma and COPD are heterogeneous disorders including various phenotypes and there is a considerable overlap between the two diseases.
Nonlinear time-series approaches in characterizing mood stability and mood instability in bipolar disorder

Bipolar disorder is a psychiatric condition characterized by episodes of elevated mood interspersed with episodes of depression. While treatment developments and understanding the disruptive nature of this illness have focused on these episodes, it is also evident that some patients may have chronic week-to-week mood instability. This is also a major morbidity. The longitudinal pattern of this mood instability is poorly understood as it has, until recently, been difficult to quantify. We propose that understanding this mood variability is critical for the development of cognitive neuroscience-based treatments. In this study, we develop a time-series approach to capture mood variability in two groups of patients with bipolar disorder who appear on the basis of clinical judgement to show relatively stable or unstable illness courses. Using weekly mood scores based on a self-rated scale (quick inventory of depressive symptomatology—self-rated; QIDS-SR) from 23 patients over a 220-week period, we show that the observed mood variability is nonlinear and that the stable and unstable patient groups are described by different nonlinear time-series processes. We emphasize the necessity in combining both appropriate measures of the underlying deterministic processes (the QIDS-SR score) and noise (uncharacterized temporal variation) in understanding dynamical patterns of mood variability associated with bipolar disorder.
Anatomic and Functional Long-Term Results of Canal Wall-Down Mastoidectomy

The objective of this study was to evaluate, over the long term, the anatomic and functional outcome of canal wall-down mastoidectomy performed for chronic otitis media with cholesteatoma and chronic otomastoiditis resistant to all conservative treatment. The study was made through a retrospective review of 338 cases of consecutive primary canal wall-down mastoidectomies performed between 1974 and 1998. Included were 259 cases with sufficient data. In all cases, functional reconstruction was performed at the same time as the mastoidectomy. Demographic and clinical data were collected from each file. From the clinical data, the surgical techniques, complications, the number of follow-up visits necessary to ensure cavity cleanliness, details of care provided over the period 1 to 24 years (mean, 7 years) after the operation, and audiometric data from admission and from the latest postoperative follow-up were retained. Canal wall-down mastoidectomies were followed up an average of 10 times during the first 6 months after operation, twice a year over the 6-year period following surgery, and less than twice a year beyond the 6-year period. Care was dispensed for meatal stenosis, scars, infections, polyps, and beads of cholesteatoma. Surgical revisions were performed because of residual or recurrent cholesteatoma in 6.1% of the cases, because of perforation of the tympanic membrane in 7.3% of the cases, and to improve hearing in 12.2% of the cases. At the last consultation, 1 to 24 years after surgery, cavities were found to be dry and self-cleaning in 95% of the cases, and still humid, with otorrhea, in 5% of the cases. Over the long term, the hearing threshold remained unchanged in 41.3% of the cases. It was improved after surgery by 10 to 19 dB in 15.4% of the cases, by 20 to 29 dB in 11.5% of the cases, and by more than 29 dB in 3.8% of the cases. The hearing threshold was thus improved or at least remained unchanged in 72.0% of cases. Hearing losses occurred in 28% of the cases: by 10 to 19 dB in 11.9%, by 20 to 29 dB in 6.5%, and by more than 29 dB in 9.2% of the cases. A sensorineural hearing loss of more than 60 dB at all frequencies occurred immediately after the operation in 2 cases (0.7%). There was 1 case of facial paralysis (0.3%). Four patients (1.5%) complained of persistent vertigo. Canal wall-down mastoidectomy is an adequate treatment for chronic otitis with cholesteatoma or chronic otomastoiditis. The anatomic and functional results are satisfactory, and the rate of complications is acceptably low. A tympanoplasty can be performed simultaneously. Thus, for the large majority of patients, only a single intervention is required; however, a small minority can benefit from a revision tympanoplasty. In order to obtain these results, both the patient and the surgeon should engage in a long-term follow-up.
Recommended Mass Spectrometry-Based Strategies to Identify Botulinum Neurotoxin-Containing Samples

Botulinum neurotoxins (BoNTs) cause the disease called botulism, which can be lethal. BoNTs are proteins secreted by some species of clostridia and are known to cause paralysis by interfering with nerve impulse transmission. Although the human lethal dose of BoNT is not accurately known, it is estimated to be between 0.1 μg to 70 μg, so it is important to enable detection of small amounts of these toxins. Our laboratory previously reported on the development of Endopep-MS, a mass-spectrometric‑based endopeptidase method to detect, differentiate, and quantify BoNT immunoaffinity purified from complex matrices. In this work, we describe the application of Endopep-MS for the analysis of thirteen blinded samples supplied as part of the EQuATox proficiency test. This method successfully identified the presence or absence of BoNT in all thirteen samples and was able to successfully differentiate the serotype of BoNT present in the samples, which included matrices such as buffer, milk, meat extract, and serum. Furthermore, the method yielded quantitative results which had z-scores in the range of −3 to +3 for quantification of BoNT/A containing samples. These results indicate that Endopep-MS is an excellent technique for detection, differentiation, and quantification of BoNT in complex matrices.
Central Catadioptric Line Detection

Central catadioptric sensors enable to acquire panoramic images on a 360 degree field of view while preserving a single viewpoint. These advantages account for the growing use of these sensors in applications such as surveillance, navigation or modelling. However, the deformations of the image do not allow to apply classical perspective image algorithms or operators. Typically, straight line detection in perspective image becomes a delicate and complex conic detection problem in central catadioptric image. Previous methods proposed in the literature were essentially motivated by particular cases such as horizontal line detection or paracatadioptric line detection. In this paper, we propose an algorithm which consists in performing the detection in the space of the equivalent sphere which is the unified domain of central catadioptric sensors. On this sphere, real lines are projected into great circles that we detect thanks to the Hough transform. We also propose to apply this unifying model in order to perform the calibration of the intrinsic parameters required for the projection on the sphere. We show results on synthetic and real catadioptric images (parabolic, hyperbolic) to demonstrate the relevance of the detection on the sphere.
A Random Graph Model for Power Law Graphs

We propose a random graph model which is a special case of sparserandom graphs with given degree sequences which satisfy a power law. This model involves only a small number of paramo eters, called logsize and log-log growth rate. These parameters capture some universal characteristics of massive graphs. From these parameters, various properties of the graph can be derived. For example, for certai n ranges of the parameters, we wi II compute the expected distribution of the sizes of the connected components which almost surely occur with high probability. We illustrate the consistency of our model with the behavior of some massive graphs derived from data in telecommunications. We also discuss the threshold function, the giant component, and the evolution of random graphs in this model.
Novel mGluR- and CB1R-Independent Suppression of GABA Release Caused by a Contaminant of the Group I Metabotropic Glutamate Receptor Agonist, DHPG

Background Metabotropic glutamate receptors (mGluRs) are ubiquitous throughout the body, especially in brain, where they mediate numerous effects. MGluRs are classified into groups of which group I, comprising mGluRs 1 and 5, is especially important in neuronal communication. Group I actions are often investigated with the selective agonist, S-3,5-dihydroxyphenylglycine (DHPG). Despite the selectivity of DHPG, its use has often led to contradictory findings. We now report that a particular commercial preparation of DHPG can produce mGluR-independent effects. These findings may help reconcile some discrepant reports. Methods We carried out electrophysiological recordings in the rat in vitro hippocampal slice preparation, focusing mainly on pharmacologically isolated GABAA-receptor-mediated synaptic currents. Principal Findings: While preparations of DHPG from three companies suppressed GABAergic transmission in an mGluR-dependent way, one batch had an additional, unusual effect. Even in the presence of antagonists of mGluRs, it caused a reversible, profound suppression of inhibitory transmission. This mGluR - independent action was not due to a higher potency of the compound, or its ability to cause endocannabinoid-dependent responses. Field potential recordings revealed that glutamatergic transmission was not affected, and quantal analysis of GABA transmission confirmed the unusual effect was on GABA release, and not GABAA receptors. We have not identified the responsible factor in the DHPG preparation, but the samples were 99% pure as determined by HPLC and NMR analyses. Conclusions In certain respects our observations with the anomalous batch strikingly resemble some published reports of unusual DHPG effects. The present findings could therefore contribute to explaining discrepancies in the literature. DHPG is widely employed to study mGluRs in different systems, hence rigorous controls should be performed before conclusions based on its use are drawn.
Model uncertainty in cross-country growth regressions

We investigate the issue of model uncertainty in cross-country growth regressions using Bayesian Model Averaging (BMA). We find that the posterior probability is very spread among many models suggesting the superiority of BMA over choosing any single model. Out-of-sample predictive results support this claim. In contrast with Levine and Renelt (1992), our results broadly support the more "optimistic'' conclusion of Sala-i-Martin (1997b), namely that some variables are important regressors for explaining cross-country growth patterns. However, care should be taken in the methodology employed. The approach proposed here is firmly grounded in statistical theory and immediately leads to posterior and predictive inference.
Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter

Background Twitter has become the “wild-west” of marketing and promotional strategies for advertisement agencies. Electronic cigarettes have been heavily marketed across Twitter feeds, offering discounts, “kid-friendly” flavors, algorithmically generated false testimonials, and free samples. Methods All electronic cigarette keyword related tweets from a 10% sample of Twitter spanning January 2012 through December 2014 (approximately 850,000 total tweets) were identified and categorized as Automated or Organic by combining a keyword classification and a machine trained Human Detection algorithm. A sentiment analysis using Hedonometrics was performed on Organic tweets to quantify the change in consumer sentiments over time. Commercialized tweets were topically categorized with key phrasal pattern matching. Results The overwhelming majority (80%) of tweets were classified as automated or promotional in nature. The majority of these tweets were coded as commercialized (83.65% in 2013), up to 33% of which offered discounts or free samples and appeared on over a billion twitter feeds as impressions. The positivity of Organic (human) classified tweets has decreased over time (5.84 in 2013 to 5.77 in 2014) due to a relative increase in the negative words ‘ban’, ‘tobacco’, ‘doesn’t’, ‘drug’, ‘against’, ‘poison’, ‘tax’ and a relative decrease in the positive words like ‘haha’, ‘good’, ‘cool’. Automated tweets are more positive than organic (6.17 versus 5.84) due to a relative increase in the marketing words like ‘best’, ‘win’, ‘buy’, ‘sale’, ‘health’, ‘discount’ and a relative decrease in negative words like ‘bad’, ‘hate’, ‘stupid’, ‘don’t’. Conclusions Due to the youth presence on Twitter and the clinical uncertainty of the long term health complications of electronic cigarette consumption, the protection of public health warrants scrutiny and potential regulation of social media marketing.
WiseMAC: an ultra low power MAC protocol for the downlink of infrastructure wireless sensor networks

This work proposes wiseMAC(wireless sensor MAC) for the downlink of infrastructure wireless sensor networks. WiseMAC is a novel energy efficient medium access control protocol based on synchronized preamble sampling. The trade-off between power consumption and delay is analyzed, focusing on low traffic. WiseMAC is compared analytically with the power management protocol used in the IEEE 802.15. 4 ZigBee standard. It is shown that WiseMAC can provide a significantly lower power consumption for the same delay.
Multi-view Super Vector for Action Recognition

Images and videos are often characterized by multiple types of local descriptors such as SIFT, HOG and HOF, each of which describes certain aspects of object feature. Recognition systems benefit from fusing multiple types of these descriptors. Two widely applied fusion pipelines are descriptor concatenation and kernel average. The first one is effective when different descriptors are strongly correlated, while the second one is probably better when descriptors are relatively independent. In practice, however, different descriptors are neither fully independent nor fully correlated, and previous fusion methods may not be satisfying. In this paper, we propose a new global representation, Multi-View Super Vector (MVSV), which is composed of relatively independent components derived from a pair of descriptors. Kernel average is then applied on these components to produce recognition result. To obtain MVSV, we develop a generative mixture model of probabilistic canonical correlation analyzers (M-PCCA), and utilize the hidden factors and gradient vectors of M-PCCA to construct MVSV for video representation. Experiments on video based action recognition tasks show that MVSV achieves promising results, and outperforms FV and VLAD with descriptor concatenation or kernel average fusion strategy.
Controllable kinematic reductions for mechanical systems: concepts,computational tools, and examples

This paper introduces the novel notion of kinematic reductions for mechanical systems and studies their controllability properties. We focus on the class of simple mechanical control systems with constraints and model them as affine connection control systems. For these systems, a kinematic reduction is a driftless control system whose controlled trajectories are also solutions to the full dynamic model under appropriate controls. We present a comprehensive treatment of local controllability properties of mechanical systems and their kinematic reductions. Remarkably, a number of interesting reduction and controllability conditions can be characterized in terms of a certain vector-valued quadratic form. We conclude with a catalog of example systems and their kinematic reductions.
The Effect of Multiple Time Scales and Subexponentiality in MPEG Video Streams on Queueing Behavior

Guided by the empirical observation that real-time MPEG video streams exhibit both multiple time scale and subexponential characteristics, we construct a video model that captures both of these characteristics and is amenable to queueing analysis. We investigate two fundamental approaches for extracting the model parameters: using sample path and second-order statistics-based methods. The model exhibits the following two canonical queueing behaviors. When strict stability conditions are satisfied, i.e., the conditional mean of each scene is smaller than the capacity of the server, precise modeling of the interscene dynamics (long-term dependency) is not essential for the accurate prediction of small to moderately large queue sizes. In this case, the queue length distribution is determined using quasistationary (perturbation theory) analysis. When weak stability conditions are satisfied, i.e., the conditional mean of at least one scene type is greater than the capacity of the server, the dominant effect for building a large queue size is the subexponential (long-tailed) scene length distribution. In this case, precise modeling of intrascene statistics is of secondary importance for predicting the large queueing behavior. A fluid model, whose arrival process is obtained from the video data by replacing scene statistics with their means, is shown to asymptotically converge to the exact queue distribution. Using the transition scenario of moving from one stability region to the other by a change in the value of the server capacity, we synthesize recent queueing theoretic advances and ad hoc results in video modeling, and unify a broad range of seemingly contradictory experimental observations found in the literature. As a word of caution for the widespread usage of second-order statistics modeling methods, we construct two processes with the same second-order statistics that produce distinctly different queueing behaviors.
Managing dyspepsia in the young adult patient: effects of different tests for Helicobacter pylori in a “test-and-scope” approach

Abstract Aim. To evaluate how different methods for the detection of Helicobacter pylori influence on a “test, score and scope” decision approach in young dyspeptic patients. Results. Complete data from 341 patients (52.2% males) were analyzed. One hundred and ten (32%) were H. pylori-positive by definition. The rapid serology test was true-positive in 64 patients, false-positive in 8, and false-negative in 46. For the EIA IgG serology test, the corresponding results were 99 true-positive, 7 false-positive, and 11 false-negative. If the H. pylori fecal test or urea breath test had been applied, 108 (98%) and 107 (97%) positives would have been correctly detected, respectively, as well as 14 and 7 false positives. Models using test data in a setting of decreasing H. pylori prevalence show that test properties have increasing significance. Conclusions. In a selection strategy for young dyspeptics based on the detection of H. pylori, the choice of test should be made with caution. H. pylori fecal test would probably give the best basis for such selection.
Top-Down Cracking of Hot-Mix Asphalt Layers: Models for Initiation and Propagation

The research focused on: 1) Finalizing the two primary model components [i.e., a viscoelastic continuum damage (VECD) model for crack initiation and a hot mix asphalt fracture mechanics (HMA-FM) model for crack propagation], involving development and integration of sub-models that are relevant to dominant top-down cracking mechanisms into each model component; 2) Verifying the reasonableness of the two enhanced primary model components (i.e., the VECD-based model and the HMA-FM-based model); and 3) Developing for and integrating with the HMA-FM-based crack propagation model a simplified fracture energy-based crack initiation model to illustrate the potential of a completed system and to help formulate a plan for integrating, calibrating, and validating the two enhanced primary model components. In summary, the work performed clearly indicates that the VECD-based model and the HMA-FM-based model developed and evaluated in this project can form the basis for a top-down cracking model suitable for use in the Mechanistic-Empirical Pavement Design Guide (MEPDG). Furthermore, the component models can form the basis for an improved performance model to predict multiple cracking distresses simultaneously, including top-down cracking, bottom-up cracking, and thermal cracking. The project also identified and recommended research efforts to develop calibrated/validated top-down cracking performance models for use in the MEPDG.
Neuromuscular Performance in Normal and Anterior Cruciate Ligament-Deficient Lower Extremities

The neuromuscular function of the lower extremity in 40 normal and 100 anterior cruciate ligament-deficient vol unteers was evaluated by physical examination, KT- 1000 arthrometer measurements, isokinetic strength and endurance testing, subjective functional assess ment, and an anterior tibial translation stress test. A specially designed apparatus delivered an anteriorly di rected step force to the posterior aspect of the leg while anterior tibial translation was monitored and electro myographic signals were recorded at the medial and lateral quadriceps, medial and lateral hamstrings, and gastrocnemius muscles. Testing was done at 30° of knee flexion with the foot fixed to a scale to monitor weightbearing, while the tibia remained unconstrained. Results indicate that muscle timing and recruitment or der in response to anterior tibial translation are affected by anterior cruciate ligament injury. These alterations in muscle performance change with time from injury, cor relate with an individual's physical activity level, affect subjective functional parameters, and are directly re lated to the degree of dynamic anterior tibial laxity seen with stress testing.
Conjugative plasmids: vessels of the communal gene pool

Comparative whole-genome analyses have demonstrated that horizontal gene transfer (HGT) provides a significant contribution to prokaryotic genome innovation. The evolution of specific prokaryotes is therefore tightly linked to the environment in which they live and the communal pool of genes available within that environment. Here we use the term supergenome to describe the set of all genes that a prokaryotic ‘individual’ can draw on within a particular environmental setting. Conjugative plasmids can be considered particularly successful entities within the communal pool, which have enabled HGT over large taxonomic distances. These plasmids are collections of discrete regions of genes that function as ‘backbone modules’ to undertake different aspects of overall plasmid maintenance and propagation. Conjugative plasmids often carry suites of ‘accessory elements’ that contribute adaptive traits to the hosts and, potentially, other resident prokaryotes within specific environmental niches. Insight into the evolution of plasmid modules therefore contributes to our knowledge of gene dissemination and evolution within prokaryotic communities. This communal pool provides the prokaryotes with an important mechanistic framework for obtaining adaptability and functional diversity that alleviates the need for large genomes of specialized ‘private genes’.