Miracle-dz/UniFAR-FTUs huggingface dataset:
Troubles de l’humeur et psoriasis. Étude des pratiques professionnelles des dermatologues en France

Introduction : le psoriasis est une dermatose chronique inflammatoire frequemment associee de facon erronee a une etiologie psychosomatique dans la population generale. Le psoriasis s’accompagne souvent de troubles de l’humeur. Il semble exister un lien entre inflammation, depression et psoriasis, explique par des facteurs biologiques. Les traitements systemiques du psoriasis se sont developpes ces dernieres annees, posant parfois, le probleme de toxicites psychologiques potentielles. Les recommandations sur cette comorbidite sont peu nombreuses. L’objectif de notre etude etait d’evaluer les pratiques des dermatologues francais, hospitaliers et liberaux, concernant d’une part le depistage des troubles de l’humeur au cours du psoriasis, et d’autre part leur sentiment sur l’influence des differentes therapeutiques disponibles dans cette association. Materiel et methodes : une enquete de pratique nationale et anonyme a ete realisee par questionnaire adresse aux dermatologues hospitaliers et liberaux francais, d’avril a aout 2018, diffuse par le biais du GEM Resopso, et d'associations de dermatologues. L'âge, le genre, le mode d'exercice et l’interet pour les troubles de l’humeur des dermatologues etaient recueillis. Le questionnaire evaluait leurs pratiques concernant leurs methodes d’evaluation des troubles de l’humeur, la nature des troubles rencontres et leurs complications et leur sentiment vis-a-vis des traitements du psoriasis sur ces troubles de l’humeur. Resultats : le questionnaire a ete rempli par 110 dermatologues (âge moyen 47 ans ; femmes : 76%), 42 hospitaliers (38.2%) ,35 liberaux. (35,8%) et 29 a l’activite mixte (26.4%). 89,9% des dermatologues s’interessaient aux troubles de l’humeur. 91,8% des dermatologues conseillaient a leurs patients de voir un professionnel de sante dedie en cas de depistage de troubles de l’humeur.34,5% notaient que ces desordres mentaux existaient en dehors d’une forme severe de psoriasis. 35% des praticiens avaient rencontre des idees suicidaires chez leurs patients,12,7% notaient des cas de tentatives de suicide. Selon eux, ces patients avaient plus d’addictions (65,7%). 72,2% avaient l’impression que les traitements du psoriasis avaient une influence sur les troubles de l’humeur avec une amelioration pour les anti TNFα (69,5%), IL12/23 (59,5%), anti IL17 (60%), phototherapie (68,7%), et methotrexate (66,3%). 23,4% avaient le sentiment de deterioration de l’humeur sous apremilast. Conclusion : l’interet des dermatologues pour les troubles de l’humeur chez leurs patients psoriasiques est important. Il semble exister plus d’addictions, d’idees suicidaires et de depression dans cette population. Malgre le fort interet des praticiens, il existe probablement une angoisse quant a la gestion des troubles de l’humeur chez les patients atteints de psoriasis et des recommandations pour leur prise en charge semblent necessaires.
Detailed Theoretical Predictions for the Outskirts of Dark Matter Halos

In the present work we describe the formalism necessary to derive the properties of dark matter halos beyond 2 virial radii using the spherical collapse model (without shell crossing) and provide the framework for the theoretical prediction presented by Prada et al. We show in detail how to obtain within this model the probability distribution for the spherically averaged enclosed density at any radius P(δ,r). Using this probability distribution, we compute the most probable and the mean density profiles, which turn out to differ considerably from each other. We also show how to obtain the typical profile, as well as the probability distribution and mean profile for the spherically averaged radial velocity. Three probability distributions are obtained: The first is derived using a simple assumption; that is, if Q is the virial radius in Lagrangian coordinates, then the enclosed linear contrast δl(q) must satisfy the condition that δl(q = Q) = δvir, where δvir is the linear density contrast within the virial radius Rvir at the moment of virialization. Then we introduce an additional constraint to obtain a more accurate P(δ,r) that reproduces to a higher degree of precision the distribution of the spherically averaged enclosed density found in the simulations. This new constraint is that, for a given q > Q, δl(q) < δvir. A third probability distribution, the most accurate, is obtained imposing the strongest constraint that δl(q) < δvir for all q > Q, which means that there are no radii larger than Rvir where the density contrast is larger than that used to define the virial radius. Finally, we compare our theoretical predictions for the mean density and the mean velocity profiles with the results found in the simulations.
Java object header elimination for reduced memory consumption in 64-bit virtual machines

Memory performance is an important design issue for contemporary computer systems given the huge processor/memory speed gap. This paper proposes a space-efficient Java object model for reducing the memory consumption of 64-bit Java virtual machines. We completely eliminate the object header through typed virtual addressing (TVA) or implicit typing. TVA encodes the object type in the object's virtual address by allocating all objects of a given type in a contiguous memory segment. This allows for removing the type information as well as the status field from the object header. Whenever type and status information is needed, masking is applied to the object's virtual address for obtaining an offset into type and status information structures. Unlike previous work on implicit typing, we apply TVA to a selected number of frequently allocated object types, hence, the name selective TVA (STVA); this limits the amount of memory fragmentation. In addition to applying STVA, we also compress the type information block (TIB) pointers for all objects that do not fall under TVA. We implement the space-efficient Java object model in the 64-bit version of the Jikes RVM on an AIX IBM platform and compare its performance against the traditionally used Java object model using a multitude of Java benchmarks. We conclude that the space-efficient Java object model reduces memory consumption by on average 15% (and up to 45% for some benchmarks). About one-half the reduction comes from TIB pointer compression; the other one-half comes from STVA. In terms of performance, the space-efficient object model generally does not affect performance; however, for some benchmarks we observe statistically significant performance speedups, up to 20%.
Mining Unstructured Data in Software Repositories: Current and Future Trends

The amount of unstructured data available to software engineering researchers in versioning systems, issue trackers, achieved communications, and many other repositories is continuously growing over time. The mining of such data represents an unprecedented opportunity for researchers to investigate new research questions and to build a new generation of recommender systems supporting development and maintenance activities. This paper describes works on the application of Mining Unstructured Data (MUD) in software engineering. The paper briefly reviews the types of unstructured data available to researchers providing pointers to basic mining techniques to exploit them. Then, an overview of the existing applications of MUD in software engineering is provided with a specific focus on textual data present in software repositories and code components. The paper also discusses perils the "miner" should avoid while mining unstructured data and lists possible future trends for the field.
Optimal attenuation of known periodic disturbances: a convex control design approach

This paper discusses the design of optimal linear controllers for the attenuation of known periodic disturbances in linear systems. A general framework is developed allowing for a variety of control configurations, robustness and performance specifications, and input constraints. The optimal control design is formulated as a convex optimization problem. To robustify the framework for uncertainty on the disturbance period, two strategies are proposed and compared to each other for a numerical example: (i) a worst-case strategy and (ii) a sensitivity-based approach.
Financial Fragility, Bubbles and Monetary Policy

The paper models the links between financial fragility, asset markets and monetary policy. It is shown that central banks concern about the cost of financial disruption generates an asymmetric response, thus contributing to the creation of an asset price bubble. In an economy with a highly leveraged financial structure, the central bank has an incentive to prevent a run on financial intermediation by injecting liquidity when asset values fall significantly. The inflationary side effect of this policy reduces the real value of nominal debt and so gives rise to a put option for investors, driving up asset prices above their fundamental value. The paper shows that the size of such a bubble is likely to be rather small. The bubble is only equal to the expected value of capital gains on outstanding debt, which are fairly limited in a crisis. Since, in contrast, the gains from preventing the disruption of financial intermediation can be quite large, it is rational for a central bank to inject liquidity in a crisis.
The logic of action

In this article we provide a brief overview of the logic of action in philosophy, linguistics, computer science and artificial intelligence. The logic of action is the formal study of action in which formal languages are the main tool of analysis. The concept of action is of central interest to many disciplines: the social sciences including economics, the humanities including history and literature, psychology, linguistics, law, computer science, artificial intelligence, and probably others. In philosophy it has been studied since the beginning because of its importance for epistemology and, particularly, ethics; and since a few decades it is even studied for its own sake. But it is in the logic of action that action is studied in the most abstract way. The logic of action began in philosophy. But it has also played a certain role in linguistics. And currently it is of great importance in computer science and artificial intelligence. For our purposes it is natural to separate the accounts of these developments. 1 The logic of action in philosophy 1.1 Historical overview Already St Anselm studied the concept of action in a way that must be classified as logical; had he known symbolic logic, he would certainly have made use of it. (Cf. [33] and [101].) In modern times the subject was introduced by, among others, Alan Ross Anderson, Frederick B. Fitch, Stig Kanger, and Georg Henrik von Wright; Kanger’s work was further developed by his students Ingmar Porn and Lars Lindahl. The first clearly semantic account was given by Brian F. Chellas in [11]. (For a more detailed account, see [83] or the mini-history in [8].) Today there are two rather different groups of theories that may be described as falling under the term logic of action. One, the result of the creation of Nuel Belnap and his many collaborators, may be called stit theory (a term that will be explained in the next paragraph). The other is dynamic logic. Both are connected
Active Learning for Phenotyping Tasks

Active learning is a popular research area in machine learning and general domain natural language processing (NLP) communities. However, its applications to the clinical domain have been studied very little and no work has been done on using active learning for phenotyping tasks. In this paper we experiment with a specific kind of active learning known as uncertainty sampling in the context of four phenotyping tasks. We demonstrate that it can lead to drastic reductions in the amount of manual labeling when compared to its passive counterpart.
Little enhancement of meal‐induced glucagon‐like peptide 1 secretion in Japanese: Comparison of type 2 diabetes patients and healthy controls

Although glucose‐dependent insulinotropic polypeptide (GIP) levels have been characterized previously, GLP‐1 levels in Asians remain unclear. Here, we investigate total and intact levels of GLP‐1, as well as GIP during oral glucose and meal tolerance tests (OGTT and MTT) in Japanese patients with or without type 2 diabetes (T2DM). Seventeen Japanese healthy controls and 18 age‐matched and untreated patients with T2DM of short duration participated in the present study. Fasting levels of total GPL‐1 were similar between the two groups (approximately 15 pM), and intact GLP‐1 levels were considerably low in both groups (less than 1 pM). In both groups, total GLP‐1 reached a peak 30 min after glucose ingestion (30–40 pM), whereas intact GLP‐1 levels remained low with no significant peak. In MTT, total and intact GLP‐1 showed no obvious peak. The current data indicate that intact GLP‐1 levels are considerably low in the Japanese and that meal‐induced enhancement of GLP‐1 secretion is negligible in the Japanese. (J Diabetes Invest, doi: 10.1111/j.2040‐1124.2010.00010.x, 2010)
CAD Procedure for High-Performance Composite Corrugated Filters

The design of waveguide low-pass filters is accomplished with a new method, where focus is on the upper stopband performance rather than passband or roll-off requirements. Using an efficient multimode variational formulation, composite filters are generated by direct optimization from an arbitrary number of partial corrugated subelements, each showing mutual TE10-mode passband and different nonintersecting passbands corresponding to higher order modes. The flexibility of this method leads to optimal filter solutions, having the designer full control over key dimensional features, i.e., minimum gap and cavity length. It is therefore possible to design low-pass filters exhibiting broad stopbands free of spurious propagation, without penalties of higher losses, lower power handling capability, larger size, and/or increased manufacturing complexity. Simulated and measured results demonstrate significant advantages over filters designed with conventional methods.
Combinatorial transforms: Applications in lossless image compression

Abstract Common image compression standards are usually based on frequency transform such as Discrete Cosine Transform. We present a different approach for lossless image compression, which is based on a combinatorial transform. The main transform is Burrows Wheeler Transform (BWT) which tends to reorder symbols according to their following context. It becomes one of promising compression approach based on context modeling. BWT was initially applied for text compression software such as BZIP2; nevertheless it has been recently applied to the image compression field. Compression schemes based on the Burrows Wheeler Transform have been usually lossless; therefore we implement this algorithm in medical imaging in order to reconstruct every bit. Many variants of the three stages which form the original compression scheme can be found in the literature. We propose an analysis of the latest methods and the impact of their association and present an alternative compression scheme with a significant improvement over the current standards such as JPEG and JPEG2000.
A comparative study between modern encryption algorithms based on cloud computing environment

The concept of “cloud computing” is not new, it is undisputable that they have proven a major commercial success over recent times. Cloud computing is the delivery of computing services by shared resources, software and information over the internet (public) or intranet (private). The improvement of cloud technology is reinforced by the improvement of the security concerns, accordingly various encryption algorithms have been developed. This paper provides a comparative study that represents the differences between modern encryption algorithms in cloud computing. The study encompasses the key size, the performance and the size of the output encrypted file based two different categorizes of algorithms (symmetric and asymmetric).
‘Black Spot’: A prototype camera module

The design, implementation and performance of a prototype miniature and intelligent camera module is described. The camera module consists of an Aptina CMOS image sensor connected to an Analog Devices Blackfin DSP. Its primary function is to locate all bright spots in each image frame and to transmit over a serial bus the corresponding location information. The preliminary results suggest the module has the capability to provide accurate and timely data. Potential applications for the device include use in a range of specialised optical tracking and monitoring systems.
DESIGN OF MULTILAYER PERCEPTRON NEURAL NETWORK FOR MENTAL TASK RECOGNITION

BCI (Brain Computer Interface) represents a direct commun ication between the neuron action of brain and a computer system. The main aim of the BC I is to translate brain activity into commands for the computer. Electroencephalogram (EEG) is used to cap tures the brain electrical signals. It is highly difficult to convert these measured brain electrical s ignals into commands. The steps involved to convert are signal Pre-processing, Feature Extraction, Classificat ion. The output from the above steps is used to control the computer. In this paper it is mainly concentrate d on the feature classification. It is adopted Multi Layer Perceptron Neural Network (MLP) with Back pr o agation training, dataset collected from the BCI Competition III 2008. The proposed Neural Network consis ts of 10 units in the input layer and hidden layers and with the output layer of one unit. This networ k is trained with the given dataset and obtained a low Mean Square Error (MSE) of 0.342, which is v ery low when compared to other Neural Network architectures. This proposed method worked with 1 00% training and 74% testing accuracy.
The effect of Coulomb friction on the existence and uniqueness of the forward dynamics problem

When Coulomb friction is added to rigid-body dynamics equations, the forward dynamic solution may not exist. and if it exists it is not necessarily unique. The author studies the existence and uniqueness properties of the forward solution of these equations. It is shown that existence and uniqueness problems arise even for a single degree-of-freedom system and conditions are derived under which such problems occur. A graphical method which clearly shows the number of solutions associated with each value of input torque is presented. A transmission element is used as an example of such a system. <<ETX>>
Radio propagation in industrial wireless sensor network environments: from testbed to simulation evaluation

In recent years, sensor networks characteristics have led to incremental utilization in different types of applications. Several techniques have been proposed to evaluate the performance of WSNs; the two most popular being mathematical analysis and simulations. An important drawback of these techniques is that they provide evaluation results that usually are not similar to those of real deployments. One reason for this is the fact that both techniques introduce physical layer modeling assumptions, which do not usually corresponded to real-life environments. In this paper, we used measurements from an industrial environment to develop a new radio propagation model for use in simulators and mathematical tools. The proposed radio model was implemented in the COOJA simulator and validated against real-life results obtained from a testbed inside a running oil refinery, which were found not to conform to any legacy radio propagation model. The proposed model has been shown to successfully match the refinery testbed behavior.
Cooperative MAC relaying with multi-rate transmissions and network coding

In the literature, cooperative relaying and network coding have been used separately in improving performance of wireless MAC protocols. In this paper, we propose a novel scheme that combines both cooperative relaying and network coding for further performance improvement. The proposed scheme considers two challenges of network-coded cooperative MAC operating in a realistic wireless network. First, links in realistic networks inherently operate with different data rates due to varying channel conditions and distances between the nodes. Existing works do not consider this issue and consequently the coding advantage is not fully harnessed. In our proposed scheme, we integrate both network coding and multi-rate issues as a single optimization problem. Second, network coding used in existing works require costly and reliable feedback in order to harness the gain. Since realistic links are unreliable in nature, our proposed scheme uses a cyclic coding method instead of the traditional XOR coding. Our results show that the proposed scheme can achieve a gain that is two times greater than a non-cooperative scheme.
Challenges in Merger Simulation Analysis

In this paper, we share our experience with merger simulations using a Random Coefficient Logit model on the demand side and assuming a static Bertrand game on the supply side. Drawing largely from our work in Knittel and Metaxoglou (2008), we show that different demand estimates obtained from different combinations of optimization algorithms and starting values lead to substantial differences in post-merger market outcomes using metrics such as industry profits, and change in consumer welfare and prices.
An approach towards comprehensive sentimental data analysis and opinion mining

The world wide web can be viewed as a repository of opinions from users spread across various websites and networks, and today's netizens look up reviews and opinions to judge commodities, visit forums to debate about events and policies. With this explosion in the volume of and reliance on user reviews and opinions, manufacturers and retailers face the challenge of automating the analysis of such big amounts of data (user reviews, opinions, sentiments). Armed with these results, sellers can enhance their product and tailor experience for the customer. Similarly, policy makers can analyse these posts to get instant and comprehensive feedback. Or use it for new ideas that democratize the policy making process. This paper is the outcome of our research in gathering opinion and review data from popular portals, e-commerce websites, forums or social networks; and processing the data using the rules of natural language and grammar to find out what exactly was being talked about in the user's review and the sentiments that people are expressing. Our approach diligently scans every line of data, and generates a cogent summary of every review (categorized by aspects) along with various graphical visualizations. A novel application of this approach is helping out product manufacturers or the government in gauging response. We aim to provide summarized positive and negative features about products, laws or policies by mining reviews, discussions, forums etc.