Miracle-dz/UniFAR-FTUs huggingface dataset:
Origin of the Extended Mars Radar Blackout of September 2017

The Mars Advanced Radar for Subsurface and Ionosphere Sounding (MARSIS) onboard Mars Express, which operates between 0.1 and 5.5 MHz, suffered from a complete blackout for 10 days in September 2017 when observing on the nightside (a rare occurrence). Moreover, the Shallow Radar (SHARAD) onboard the Mars Reconnaissance Orbiter, which operates at 20 MHz, also suffered a blackout for three days when operating on both dayside and nightside. We propose that these blackouts are caused by solar energetic particles of few tens of keV and above associated with an extreme space weather event between 10 and 22 September 2017, as recorded by the Mars Atmosphere and Volatile EvolutioN (MAVEN) mission. Numerical simulations of energetic electron precipitation predict that a lower O2+ nighttime ionospheric layer of magnitude ~1010 m−3 peaking at ~90‐km altitude is produced. Consequently, such a layer would absorb radar signals at high frequencies and explain the blackouts. The peak absorption level is found to be at 70‐km altitude.
Antigens Drive Memory IgE Responses in Human Allergy via the Nasal Mucosa

Background: Natural allergen contact induces an increase of IgE levels and sensitivity but the mechanisms underlying the allergen-specific memory responses are poorly understood. Furthermore, it has not been studied whether allergen exposure affects the molecular reactivity profiles in patients. The aim of this study was to analyze the influence of nasal allergen encounter on the molecular profile and magnitude of memory IgE responses and on systemic sensitivity. Methods: We investigated allergen-specific IgE, IgG subclass and IgM responses to defined allergen molecules (grass pollen: Phl p 1, Phl p 2 and Phl p 5; birch pollen: Bet v 1 and Bet v 2) in allergic patients in response to natural as well as to controlled nasal and dermal allergen exposure. Changes in systemic sensitivity were monitored by skin prick testing and by basophil histamine release experiments. Results: Respiratory antigen exposure boosted IgE levels to a pre-established profile of allergen molecules without inducing significant IgM responses or new IgE specificities in allergic individuals. The importance of the route of allergen contact is demonstrated by an increase of systemic IgE levels and sensitivity after nasal exposure. In vitro sensitisation of basophils with pre- and post-seasonal serum samples suggests an allergen-induced elevation of specific IgE as a cause for the increased allergen-specific sensitivity. Conclusion: The characteristics of the allergen-driven antibody responses indicate a direct activation of an established pool of IgE memory cells with defined specificities as an underlying mechanism. Our finding that nasal allergen contact is a major factor for the boosting of memory IgE and systemic sensitivity may open new therapeutic possibilities.
Comparison of FT‐IR spectra of bulk and acid insoluble organic matter in chondritic meteorites: An implication for missing carbon during demineralization

Past studies of the various separable carbonaceous fractions have been unable to account for all of C in primitive chondrites. In particular, up to 20–50% of the C is lost during acid leaching of bulk samples even after the C in carbonates and soluble organic matter is accounted for. To try to better characterize the nature of this “missing C,” we have compared the bulk infrared (IR) absorption spectra of a number of primitive chondrites with those of their previously reported insoluble organic matter (IOM). The aliphatic C–H stretching bands, in particular, allow us to compare the molecular structures of bulk C with that of IOM. The spectral differences between bulk C and IOM reflect “missing C” phases that were lost during acid leaching, although we cannot completely exclude the possibility that the OM was modified after demineralization. Comparing IR spectra of bulk meteorite powder and IOM suggests that the missing C varies in its molecular structure, and that mildly thermally metamorphosed type 3 chondrites tend to be richer in an aliphatic fraction with lower CH2/CH3 ratios, relative to IOM, compared to aqueously altered carbonaceous chondrites (CI/CM/CR). The missing C is most likely released from acid‐labile functional groups, such as esters, acetals, and amides, during demineralization, although it cannot be ruled out that some fraction of the missing C is in small grains that are difficult to recover from suspension, or in water‐soluble compounds trapped in phyllosilicates.
Indirect Supervision for Relation Extraction using Question-Answer Pairs

Automatic relation extraction (E)for types of interest is of great importance for interpreting massive text corpora in an efficient manner. For example, we want to identify the relationship "president_of" between entities "Donald Trump" and "United States" in a sentence expressing such a relation. Traditional RE models have heavily relied on human-annotated corpus for training, which can be costly in generating labeled data and become obstacles when dealing with more relation types. Thus, more RE extraction systems have shifted to be built upon training data automatically acquired by linking to knowledge bases (distant supervision). However, due to the incompleteness of knowledge bases and the context-agnostic labeling, the training data collected via distant supervision (DS) can be very noisy. In recent years, as increasing attention has been brought to tackling question-answering (QA) tasks, user feedback or datasets of such tasks become more accessible. In this paper, we propose a novel framework, ReQuest, to leverage question-answer pairs as an indirect source of supervision for relation extraction, and study how to use such supervision to reduce noise induced from DS. Our model jointly embeds relation mentions, types, QA entity mention pairs and text features in two low-dimensional spaces (RE and QA), where objects with same relation types or semantically similar question-answer pairs have similar representations. Shared features connect these two spaces, carrying clearer semantic knowledge from both sources. ReQuest, then use these learned embeddings to estimate the types of test relation mentions. We formulate a global objective function and adopt a novel margin-based QA loss to reduce noise in DS by exploiting semantic evidence from the QA dataset. Our experimental results achieve an average of 11% improvement in F1 score on two public RE datasets combined with TREC QA dataset. Codes and datasets can be downloaded at https://github.com/ellenmellon/ReQuest.
Brain abscess due to Streptococcus MG-intermedius (Streptococcus milleri)

Three cases of brain abscesses due to Streptococcus MG-intermedius are reported, and the literature pertaining to this subject is reviewed. The importance of careful and complete identification of these etiological agents of infection is stressed. The clinical presentation, the origin of S. MG-intermedius producing brain abscess, and its relation to hepatic abscesses and endocarditis are discussed.
Apport de la taxonomie intégrative à la compréhension des mécanismes à l'origine de la biodiversité des spongiaires dans les grottes sous-marines

Les eponges Homoscleromorpha constituent l’une des grandes Classes des Porifera. Particulierement bien distribuees dans les grottes sous-marines. Leur taxonomie et systematique sont particulierement difficiles, a cause de l’absence frequente de caracteres diagnostiques. A partir d’une approche de taxonomie integrative, couplant morphologie, cytologie et genetique, le premier objectif de cette these etait d’ameliorer la connaissance de la biodiversite des Homoscleromorpha. Les especes nouvelles representent 40% des eponges recoltees au cours de cette etude. Ce document presente 3 nouvelles especes et 1 nouveau genre recemment publies. L’ensemble des resultats acquis au cours de cette these appelle a une redefinition des deux familles provocant un premier grand bouleversement de la Systematique de ce groupe.Un deuxieme grand objectif de cette these etait d’apporter des connaissances sur la diversite chimique et microbienne de ce groupe d’eponges. En etudiant un grand nombre de representants nous avions l’ambition d’apporter des elements de comprehension du succes ecologique des Homoscleromorpha dans les grottes sous-marines. A l’aide d’approches metabolomiques et de metabarcoding, nous avons mis en evidence des patrons de diversite chimique et microbienne en fonction de differentes variables, traduisant pour certains un signal phylogenetique et dans d’autres une influence de l’environnement. Cette partie de la these etait un pre-requis indispensable pour comprendre les capacites adaptatives des holobiontes Homoscleromorpha a travers l’expression de metabolites et/ou l’acquisition de microorganismes specialises, et leur evolution dans un environnement contraignant.
Compressive sensing based detector for sparse signal modulation in precoded OFDM

In this paper, we propose a sparse signal modulation (SSM) method for precoded orthogonal frequency division multiplexing (OFDM) systems and study the signal detection. Although a receiver is able to exploit a path diversity gain with random precoding in OFDM, the complexity of the receiver is usually high as the orthogonality is not retained due to precoding. However, with SSM, we can derive a low-complexity detector that can provide reasonably good performances with a low sparsity ratio based on the notion of compressive sensing (CS). An important feature of a CS detector is that it can estimate SSM signals with a small fraction of the received signals over sub-carriers. This feature can allow us to build a low cost receiver with a small number of demodulators.
Effect of periodontal therapy in smokers and non-smokers with advanced periodontal disease: results after maintenance therapy for a minimum of 5 years.

BACKGROUND Longitudinal clinical studies show smoking is a risk factor for periodontal disease progression. It has also been documented that smoking impairs healing after periodontal therapy. However, the longitudinal effect of smoking on treatment results in patients who undergo long-term maintenance therapy has not been extensively investigated. This study clinically and radiographically compared smoking and non-smoking patients who had been treated for advanced periodontal disease and who received maintenance therapy for a minimum of 5 years. METHODS Twenty-nine patients were selected over a 6-month period when they presented for a regularly scheduled visit in a private office. Patients were selected on the basis of initially having lost 50% of bone support on 50% of their teeth; had received follow-up therapy for at least 5 years; were compliant at 75% of the appointments; and had plaque scores < 20% in 75% of the visits. All patients had received non-surgical and surgical therapy as required for pocket elimination. Fourteen were active smokers during the entire maintenance period. Clinical measurements of probing depths and presence of plaque and gingivitis and a new set of standardized radiographs were taken. RESULTS Smokers had higher mean radiographic bone loss values prior to treatment (7.52 +/- 1.39 versus 6.65 +/- 1.39) and at the final examination (7.32 +/- 1.42 versus 6.29 +/- 1.29) mean radiographic bone loss as well as initial, immediate post-therapy, and final percent of pockets > or = 6 mm (1.42% +/- 1.87% versus 0.60% +/- 1.11%). Differences were not statistically significant. Over 5 to 8 years, seven sites in four non-smokers and 11 sites in six smokers exhibited radiographic bone loss > or = 2 mm. One tooth in a non-smoker and three teeth in two smokers were lost. In a logistic regression analysis, smoking increased the odds ratio 10.7 times of having > or = 1 site with bone loss > or = 2 mm. CONCLUSION The present study on a small group of patients treated for advanced periodontal disease and well maintained over 5 to 8 years showed no statistically significant differences between smokers and non-smokers in clinical probing depth and radiographic bone loss measurements.
Cyberthreat Hunting - Part 1: Triaging Ransomware using Fuzzy Hashing, Import Hashing and YARA Rules

Ransomware is currently one of the most significant cyberthreats to both national infrastructure and the individual, often requiring severe treatment as an antidote. Triaging ran-somware based on its similarity with well-known ransomware samples is an imperative preliminary step in preventing a ransomware pandemic. Selecting the most appropriate triaging method can improve the precision of further static and dynamic analysis in addition to saving significant t ime a nd e ffort. Currently, the most popular and proven triaging methods are fuzzy hashing, import hashing and YARA rules, which can ascertain whether, or to what degree, two ransomware samples are similar to each other. However, the mechanisms of these three methods are quite different and their comparative assessment is difficult. Therefore, this paper presents an evaluation of these three methods for triaging the four most pertinent ransomware categories WannaCry, Locky, Cerber and CryptoWall. It evaluates their triaging performance and run-time system performance, highlighting the limitations of each method.
Beta-cyclodextrins as vehicles in eye-drop formulations: an evaluation of their effects on rabbit corneal epithelium.

Beta-cyclodextrins are cyclic molecules with a hydrophilic outer side and a central hydrophobic cavity. Through the inclusion of drug molecules into their cavities, i.e. the formation of inclusion complexes, cyclodextrins are able to modify the physical and chemical properties of these molecules. When used in pharmaceutical formulations, they can improve the aqueous solubility, stability, dissolution rate, bioavailability and/or local tolerance of certain drugs. To make an initial evaluation of the potential use of beta-cyclodextrins as vehicles in ophthalmic eye-drop formulations, we studied the effect of a single and of multiple applications of hydroxypropyl-beta-cyclodextrin (HP-beta-CD) 12.5% and of dimethyl-beta-cyclodextrin (DM-beta-CD) 5 and 12.5% solutions on the corneal epithelium of albino and pigmented rabbits with slit lamp biomicroscopy (SLB) and scanning electron microscopy (SEM). We can conclude from this study that DM-beta-CD at concentrations of 5 and 12.5% is not a suitable vehicle for ophthalmic formulations since it is toxic to the corneal epithelium and that HP-beta-CD at a concentration of 12.5% is well tolerated by the rabbit eye and is not toxic to the corneal epithelium when evaluated by SLB and SEM.
Detection of 33.8 Millisecond X-Ray Pulsations in SAX J0635+0533

We revisited the BeppoSAX observation of SAX J0635+0533, which was suggested as a possible counterpart to the gamma-ray source 2EG J0635+0521. We have discovered a 33.8 ms pulsation from the source and derived an improved position, consistent with the location of the Be star proposed as a binary companion. We interpret the periodicity as the spin period of a neutron star in a binary system with a Be companion.
Borrelia burgdorferi outer surface protein C (OspC) binds complement component C4b and confers bloodstream survival

Borrelia burgdorferi (Bb) is the causative agent of Lyme disease in the United States, a disease that can result in carditis, and chronic and debilitating arthritis and/or neurologic symptoms if left untreated. Bb survives in the midgut of the Ixodes scapularis tick, or within tissues of immunocompetent hosts. In the early stages of infection, the bacteria are present in the bloodstream where they must resist clearance by the innate immune system of the host. We have found a novel role for outer surface protein C (OspC) from B. burgdorferi and B. garinii in interactions with the complement component C4b and bloodstream survival in vivo. Our data show that OspC inhibits the classical and lectin complement pathways and competes with complement protein C2 for C4b binding. Resistance to complement is important for maintenance of the lifecycle of Bb, enabling survival of the pathogen within the host as well as in the midgut of a feeding tick when ospC expression is induced.
Ethical Challenges in Biodefense and Bioterrorism

The threat of a bioterrorist attack is very real and could occur in any country at any time. Today, various governmental agencies in the United States are engaged in biodefense preparedness and response. There is a great need, however, to address ethical challenges in biodefense. In this article, we present diverse bioethical issues associated with bioterrorism and propose various recommendations regarding how to address these challenges.
A pulsed electrolyte cathode discharge used for metal element analysis by atomic emission spectrometry

In this paper, a pulsed electrolyte cathode discharge is generated for the purpose of detecting metal elements by atomic emission spectrometry in atmospheric air. The discharge image, and the waveforms of voltage and current are obtained for studying the discharge mode. To understand the mechanisms of metal atomic excitation, the plasma temperature and the electron density of discharge are obtained by the spectra of N2 (C-B, Δν = −2) and Hβ (486.1 nm), respectively. Also, the effects of the solution pH, solution flow rate, discharge gap, and discharge voltage on the emission intensities of Cu and Fe are discussed to acquire the optimal experimental conditions. It is found that the pulsed electrolyte cathode discharge is a kind of atmospheric pressure glow discharge, and it can analyze metal elements accurately and sensitively. The gas temperature and electron density play important roles in the improvement of emission intensities of metal elements.In this paper, a pulsed electrolyte cathode discharge is generated for the purpose of detecting metal elements by atomic emission spectrometry in atmospheric air. The discharge image, and the waveforms of voltage and current are obtained for studying the discharge mode. To understand the mechanisms of metal atomic excitation, the plasma temperature and the electron density of discharge are obtained by the spectra of N2 (C-B, Δν = −2) and Hβ (486.1 nm), respectively. Also, the effects of the solution pH, solution flow rate, discharge gap, and discharge voltage on the emission intensities of Cu and Fe are discussed to acquire the optimal experimental conditions. It is found that the pulsed electrolyte cathode discharge is a kind of atmospheric pressure glow discharge, and it can analyze metal elements accurately and sensitively. The gas temperature and electron density play important roles in the improvement of emission intensities of metal elements.
Mini-review: Antimicrobial peptides and enzymes as promising candidates to functionalize biomaterial surfaces

Biomaterial-associated infections remain a serious concern in modern healthcare. The development of materials that can resist or prevent bacterial attachment constitutes a promising approach to dealing with this problem. Antimicrobial peptides (AMPs) and enzymes have been recognized as promising candidates for the new generation of antimicrobial surfaces. AMPs have been the focus of great interest in recent years owing to a low propensity for developing bacterial resistance, broad-spectrum activity, high efficacy at very low concentrations, target specificity, and synergistic action with classical antibiotics. Biofilm-dispersing enzymes have been shown to inhibit biofilm formation, detach established biofilm, and increase biofilm susceptibility to other antimicrobials. This review critically examines the potential of these protein-like compounds for developing antibacterial coatings by reporting their immobilization into different substrata using different immobilization strategies.
A Systematic Review of Deep Learning Approaches to Educational Data Mining

Educational Data Mining (EDM) is a research field that focuses on the application of data mining, machine learning, and statistical methods to detect patterns in large collections of educational data. Different machine learning techniques have been applied in this field over the years, but it has been recently that Deep Learning has gained increasing attention in the educational domain. Deep Learning is a machine learning method based on neural network architectures with multiple layers of processing units, which has been successfully applied to a broad set of problems in the areas of image recognition and natural language processing. This paper surveys the research carried out in Deep Learning techniques applied to EDM, from its origins to the present day. The main goals of this study are to identify the EDM tasks that have benefited from Deep Learning and those that are pending to be explored, to describe the main datasets used, to provide an overview of the key concepts, main architectures, and configurations of Deep Learning and its applications to EDM, and to discuss current state-of-the-art and future directions on this area of research.
A memory-efficient NoC system for OpenCL many-core platform

We present a memory-efficient NoC system for OpenCL many-core platforms. By offloading the OpenCL kernel programs into the many-core processor, we reveal that the memory contention overheads have dramatically increased with the scaling of the system, resulting to the poor performance scalability of the many-core system. We explore a memory-efficient NoC system design which includes a mesh network, a hybrid network interface for packet composition and decomposition, and a memory controller with access scheduling capability. Our experimental results show that a simple memory access scheduling and caching approach can easily boost the performance of the NoC and memory system up to 20 percent by eliminating the memory controller contention problem.
Blind identifiability of a quadratic stochastic system

Quadratic systems appear in various fields of signal processing, in particular in detection and estimation. In this paper, we establish some conditions to determine the order and identify the coefficients of any discrete and finite extent quadratic system driven by a sequence of independent and identically distributed random variables. The input sequence is assumed unobservable and the conditions are based on some properties of the output cumulant functions up to the third order. Necessary and sufficient conditions ensuring the determination of the order are given. A sufficient condition of uniqueness to recover the parameters is presented. Lastly, some examples are given. >