Miracle-dz/UniFAR-FTUs huggingface dataset:
Troubles cognitifs liés à l'alcoolo-dépendance : place de la remédiation cognitive. Revue systématique de la littérature

Introduction : 80% des patients alcoolo-dependants presentent des troubles alterant significativement leurs fonctionnements cognitifs. Methode : revue systematique de la litterature sur les travaux deja effectues ou en cours sur l’interet et l’efficacite de la remediation cognitive dans les troubles cognitifs lies a la consommation d’alcool. Les bases de donnees utilisees ont ete Pubmed, PsychInfo, Google Scholaret Clinicaltrials. Resultats : cinq etudes ont ete retenues et analysees, dont seulement une etude randomisee et controlee et une etude de cas. La remediation cognitive a un impact positif dans cette population. Discussion : la remediation cognitive chez les patients alcoolo-dependants ameliore a court terme les troubles des fonctions executives, les troubles de la memoire et de l’attention. Le maintien d’une amelioration sur le long terme n’a pas ete demontre, et l’impact sur la consommation d’alcool a ete peu evalue. L’analyse des etudes a retrouve des methodologies tres differentes utilisees pour l’evaluation des techniques de remediation cognitive utilisee chez les patients alcoolo-dependants, ainsi que pour l’evaluation des conduites addictives, ce qui n’a pas permis d’effectuer une meta- analyse des resultats. En revanche il est possible d’etablir des pistes d’un eventuel protocole standardise. Conclusions : la remediation cognitive est une methode qui s’avere interessante pour ameliorer les troubles cognitifs chez les patients alcoolo-dependants. Cependant d’autres etudes sont necessaires pour evaluer le maintien de cette amelioration sur le long terme et l’impact sur la consommation d’alcool.
The Dose-Dependent Organ-Specific Effects of a Dipeptidyl Peptidase-4 Inhibitor on Cardiovascular Complications in a Model of Type 2 Diabetes

Objective Although dipeptidyl peptidase-4 (DPP-4) inhibitors have been suggested to have a non-glucoregulatory protective effect in various tissues, the effects of long-term inhibition of DPP-4 on the micro- and macro-vascular complications of type 2 diabetes remain uncertain. The aim of the present study was to investigate the organ-specific protective effects of DPP-4 inhibitor in rodent model of type 2 diabetes. Methods Eight-week-old diabetic and obese db/db mice and controls (db/m mice) received vehicle or one of two doses of gemigliptin (0.04 and 0.4%) daily for 12 weeks. Urine albumin excretion and echocardiography measured at 20 weeks of age. Heart and kidney tissue were subjected to molecular analysis and immunohistochemical evaluation. Results Gemigliptin effectively suppressed plasma DPP-4 activation in db/db mice in a dose-dependent manner. The HbA1c level was normalized in the 0.4% gemigliptin, but not in the 0.04% gemigliptin group. Gemigliptin showed a dose-dependent protective effect on podocytes, anti-apoptotic and anti-oxidant effects in the diabetic kidney. However, the dose-dependent effect of gemigliptin on diabetic cardiomyopathy was ambivalent. The lower dose significantly attenuated left ventricular (LV) dysfunction, apoptosis, and cardiac fibrosis, but the higher dose could not protect the LV dysfunction and cardiac fibrosis. Conclusion Gemigliptin exerted non-glucoregulatory protective effects on both diabetic nephropathy and cardiomyopathy. However, high-level inhibition of DPP-4 was associated with an organ-specific effect on cardiovascular complications in type 2 diabetes.
Mindful Teaching: A Narrative Exploration of Mindfulness

Mindfulness will refer to intentionally paying attention to the here and now experience without judgment. Mindfulness has shown promise as an intervention to be used for a broad range of ages and presenting concerns. It has very recently begun to be explored as an effective way to enhance the services provided by various caregiver professions, in ways that seemed to have clear implications for teachers. The previous study found that classroom teachers believed mindfulness to have been helpful in their personal and professional lives. This study explored how teachers related mindfulness to their livelihoods. This research was using qualitative methodology with semi-structured observation and in-depth interview method. The results described that participants found mindfulness to be useful in their personal and professional lives and thought that their own mindfulness practice was helpful to teach their students. Recommendations include offering courses on mindfulness to teachers, bringing mindfulness to all school personnel at schools, and integrating mindfulness into existing teacher preparation programs. Keywords— mindfulness; teaching; intervention; narrative; exploration
A Modified Wilkinson Power Divider With Isolation Bandwidth Improvement

This paper proposes a novel modified Wilkinson power divider with wide isolation bandwidth. The isolation bandwidth can be extended by an additional isolation network (INW) in the circuits. An equal and an unequal 4-GHz modified Wilkinson power divider on FR4 with compact circuit sizes are designed and measured to verify the new design concept. The measurement results show the operation bandwidth from 1.8 to 6.4 GHz with 20-dB isolation in the equal case. In the unequal case, the operation frequency starts from 2.4 to 5.3 GHz with 20-dB isolation. Moreover, a 3-GHz 1-to-3 modified Wilkinson power divider is realized with the operation frequency from 2.05 to 3.83 GHz with 20-dB isolation. These circuits demonstrate that the isolation bandwidth can be extended by an INW, and this INW can be used in many power dividers with different applications. To the authors' knowledge, these circuits provide the widest fractional bandwidth of isolation in a Wilkinson power divider ever reported, except those using multisection structures.
Lecture and presentation tracking in an intelligent meeting room

Archiving, indexing, and later browsing through stored presentations and lectures is increasingly being used. We have investigated the special problems and advantages of lectures and propose the design and adaptation of a speech recognizer to a lecture such that the recognition accuracy can be significantly improved by prior analysis of the presented documents using a special class-based language model. We define a tracking accuracy measure which measures how well a system can automatically align recognized words with parts of a presentation and show that by prior exploitation of the presented documents, the tracking accuracy can be improved. The system described in this paper is part of an intelligent meeting room developed in the European Union-sponsored project FAME (Facilitating Agent for Multicultural Exchange).
A Chopper Stabilized Pre-amplifier for Biomedical Signal Acquisition

This paper presents a low-power and low-voltage pre-amplifier for biomedical signal acquisition application. The main blocks of the pre-amplifier consist of a chopper stabilized VGA, and a 4th order filter. The amplifier serves to improve the noise figure at low frequency by extensively modulating the flicker noise to the 16 kHz chopper frequency. The filter is designed to strictly remove the modulated flicker noise and amplifier inherent offset with attenuation greater than 60 dB at the chopping frequency. Implemented in a 0.18-mum CMOS, the pre-amplifier achieves variable gain of 20, 40, and 100 V/V with an approximate noise density of 48.37 nV/radicHz and consumes 270 muA current.
Pectoral fin coordination and gait transitions in steadily swimming juvenile reef fishes

SUMMARY A common feature of animal locomotion is its organization into gaits with distinct patterns of movement and propulsor use for specific speeds. In terrestrial vertebrates, limb gaits have been extensively studied in diverse taxa and gait transitions have been shown to provide efficient locomotion across a wide range of speeds. In contrast, examination of gaits in fishes has focused on axial gaits and the transition between synchronous paired fin locomotion and axial propulsion. Because many fishes use their pectoral fins as their primary propulsors, we aimed to examine more broadly the use of pectoral fin gaits in locomotion. We used juvenile reef fishes in these experiments because their swimming could be recorded readily across a wide range of Reynolds numbers, which we thought would promote gait diversity. Based on previous work in larval fishes, we hypothesized that juveniles have alternating pectoral fin movements rather than the synchronous, or in-phase, coordination pattern of adults. In flow tank swim studies, we found that juvenile sapphire damselfish Pomacentrus pavo used two fin gaits during steady swimming. Below approximately 3 BL s-1, P. pavo primarily swam with alternating fin strokes 180° out of phase with one another. At speeds in the range of 3-4 BL s-1, they performed a gait transition to synchronous fin coordination. Between approximately 4 and 8 BL s-1, P. pavo primarily beat their fins synchronously. At around 8 BL s-1 there was another gait transition to body-caudal fin swimming, in which the pectoral fins were tucked against the body. We suggest that the transition from alternating to synchronous fin coordination occurs due to mechanical limits of gait performance rather than to energy efficiency, stability or transitions in hydrodynamic regime. To determine whether this gait transition was species-specific, we surveyed pectoral fin locomotion in juveniles from 11 species in three reef fish families (Pomacentridae, Labridae and Scaridae). We found that this gait transition occurred in every species examined, suggesting that it may be a common behavior of juvenile reef fishes. Greater inclusion of early life history stages in the study of fin-based locomotion should significantly enhance and inform the growing body of work on these behaviors.
Coping styles and behavioural flexibility: towards underlying mechanisms

A coping style (also termed behavioural syndrome or personality) is defined as a correlated set of individual behavioural and physiological characteristics that is consistent over time and across situations. This relatively stable trait is a fundamental and adaptively significant phenomenon in the biology of a broad range of species, i.e. it confers differential fitness consequences under divergent environmental conditions. Behavioural flexibility appears to be an important underlying attribute or feature of the coping style that might explain consistency across situations. Proactive coping is characterized by low flexibility expressed as rather rigid, routine-like behavioural tendencies and reduced impulse control (behavioural inhibition) in operant conditioning paradigms. This article summarizes some of the evidence that individual differentiation in behavioural flexibility emerges as a function of underlying variability in the activation of a brain circuitry that includes the prefrontal cortex and its key neurochemical signalling pathways (e.g. dopaminergic and serotonergic input). We argue that the multidimensional nature of animal personality and the terminology used for the various dimensions should reflect the differential pattern of activation of the underlying neuronal network and the behavioural control function of its components. Accordingly, unravelling the molecular mechanisms that give rise to individual differences in the coping style will be an important topic in biobehavioural neurosciences, ecology and evolutionary biology.
Faster ( and Better ) Entity Linking with Cascades

Entity linking requires ranking thousands of candidates for each query, a time consuming process and a challenge for large scale linking. Many systems rely on prediction cascades to efficiently rank candidates. However, the design of these cascades often requires manual decisions about pruning and feature use, limiting the effectiveness of cascades. We present Slinky, a modular, flexible, fast and accurate entity linker based on prediction cascades. We adapt the web-ranking prediction cascade learning algorithm, Cronus, in order to learn cascades that are both accurate and fast. We show that by balancing between accurate and fast linking, this algorithm can produce Slinky configurations that are significantly faster and more accurate than a baseline configuration and an alternate cascade learning method with a fixed introduction of features.
NOD2 Pathway Activation by MDP or Mycobacterium tuberculosis Infection Involves the Stable Polyubiquitination of Rip2*

The Rip2 kinase contains a caspase recruitment domain and has been implicated in the activation of the transcriptional factor NF-κB downstream of Toll-like receptors, Nod-like receptors, and the T cell receptor. Although Rip2 has been linked to Nod signaling, how Nod-Rip2 proteins mediate NF-κB activation has remained unclear. We find Rip2 required for Nod2-mediated NF-κB activation and to a lesser extent mitogen-activated protein kinase activation. We demonstrate that Rip2 and IκB kinase-γ become stably polyubiquitinated upon treatment of cells with the NOD2 ligand, muramyl dipeptide. We also demonstrate a requirement for the E2-conjugating enzyme Ubc13, the E3 ubiquitin ligase Traf6, and the ubiquitin-activated kinase Tak1 in Nod2-mediated NF-κB activation. Rip2 polyubiquitination is also stimulated when macrophages are infected with live Mycobacterium tuberculosis but not when infected with heat-killed bacteria. Consistent with our data linking Rip2 to NOD and not Toll-like receptor signaling, M. tuberculosis-induced Rip2 polyubiquitination appears MyD88-independent. Collectively, these data reveal that the NOD2 pathway is ubiquitin-regulated and that Rip2 employs a ubiquitin-dependent mechanism to achieve NF-κB activation.
Buffer Estimate Filtering Using Dispersion Deltas

In this paper, we present a sender-side-only filtering method to improve the accuracy of buffer estimation. Buffer estimates are of interest in many applications, e.g. enhancing the performance and behavior of TCP, as well as improving the user experience of UDP applications. A conventional approach to estimate the buffer size of the bottleneck link is to estimate the packet round trip time (RTT) values that include the maximum and minimum queuing delays. By calculating the difference of these two values, one can then estimate the buffer size. However, such approach is shown to be problematic in the presence of lossy links, bursty cross traffic, and multiple bottleneck links. This paper introduces a new technique called Dispersion Delta Filtering (DDF) which takes not only the RTT range but also packet dispersion into consideration. The dispersion data is used to filter out RTT samples affected by bursty cross traffic. By filtering these nonrepresentative RTT samples, the proposed method is able to estimate the buffer more accurately under bursty cross traffic scenarios. We augment TCPW-BBE (TCP Westwood with Buffer and Bandwidth Estimation) to evaluate the accuracy of a buffer estimate with and without the proposed filtering algorithm. Simulation results show that by incorporating the proposed filtering technique, TCPW-BBE obtains a more accurate buffer estimate regardless of the rates of bursty cross traffic, the direction of bursty cross traffic, as well as the number of coexisting flows. The overall TCPW-BBE throughput is improved while greatly increasing friendliness with TCP-NewReno.
Activation of Nuclear Calcium Dynamics by Synaptic Stimulation in Cultured Cortical Neurons

Abstract : L‐type voltage‐sensitive Ca2+ channels (VSCCs) are enriched on the neuronal soma and trigger gene expression during synaptic activity. To understand better how these channels regulate somatic and nuclear Ca2+ dynamics, we have investigated Ca2+ influx through L‐type VSCCs following synaptic stimulation, using the long‐wavelength Ca2+ indicator fluo‐3 combined with laser scanning confocal microscopy. Single synaptic stimuli resulted in rapid Ca2+ transients in somatic cytoplasmic compartments (<5 ms rise time). Nuclear Ca2+ elevations lagged behind cytoplasmic levels by ~60 ms, consistent with a dependence on diffusion from a cytoplasmic source. Pharmacological experiments indicated that L‐type VSCCs mediated ~50% of the nuclear and somatic (cytoplasmic) Ca2+ elevation in response to strong synaptic stimulation. In contrast, relatively weak excitatory postsynaptic potentials (EPSPs ; ~15 mV) or single action potentials were much less effective at activating L‐type VSCCs. Antagonist experiments indicated that activation of the NMDA‐type glutamate receptor leads to a long‐lasting somatic depolarization necessary to activate L‐type VSCCs effectively during synaptic stimuli. Simulation of action potential and somatic EPSP depolarization using voltage‐clamp pulses indicated that nuclear Ca2+ transients mediated by L‐type VSCCs were produced by sustained depolarization positive to ‐25 mV. In the absence of synaptic stimulation, action potential stimulation alone led to elevations in nuclear Ca2+ mediated by predominantly non‐L‐type VSCCs. Our results suggest that action potentials, in combination with long‐lived synaptic depolarizations, facilitate the activation of L‐type VSCCs. This activity elevates somatic Ca2+ levels that spread to the nucleus.
Mobile Image Categorization and Retrieval using Color Blobs

The present invention provides: a fine particles-dispersed composition that has extremely good dispersibility even if a polyamidic acid is contained in the composition; and a production process for such a composition. The polyamidic acid-containing and fine particles-dispersed composition comprises fine particles and a polar solvent solution, wherein the fine particles are dispersed in the polar solvent solution using an organic polymer as a dispersant, and this composition further comprises a polyamidic acid.
OCELOT: a system for summarizing Web pages

We introduce OCELOT, a prototype system for automatically generating the “gist” of a web page by summarizing it. Although most text summarization research to date has focused on the task of news articles, web pages are quite different in both structure and content. Instead of coherent text with a well-defined discourse structure, they are more often likely to be a chaotic jumble of phrases, links, graphics and formatting commands. Such text provides little foothold for extractive summarization techniques, which attempt to generate a summary of a document by excerpting a contiguous, coherent span of text from it. This paper builds upon recent work in non-extractive summarization, producing the gist of a web page by “translating” it into a more concise representation rather than attempting to extract a text span verbatim. OCELOT uses probabilistic models to guide it in selecting and ordering words into a gist. This paper describes a technique for learning these models automatically from a collection of human-summarized web pages.
A Novel Method for Dynamic Community Discovery

Traditional Community discovery focuses on the study of statical structures of social network while ignores the individuals with high motility. This paper in terms of the dynamic discovery problems in social network, on the basis of complex priority and the grouth theorem, comes up with a new method that according to the degree distribution of vertices to dynamically simulate the formation of the whole network. Using Zachary and Les miserables as our test-bed to verify the results of our algorithm, we proved that this method is able to find the communities with great accuracy and efficiency.
Password swordfish: Verbal humor in the interface

Humour will be a necessity in future interfaces, especiall y in the area at the crossroads of entertainment and education, the so called edutainment. Some considerations on the state of the art in natural langauge processing and on computational humour prospects are presented, as well as some ideas for the introduction of certain types of computational humour in seductive interfaces. In doing that, reference is made to some of the sparkling exchanges of the Marx Brothers.1.
PATBox: A Toolbox for Classification and Analysis of P-Type ATPases

P-Type ATPases are part of the regulatory system of the cell where they are responsible for transporting ions and lipids through the cell membrane. These pumps are found in all eukaryotes and their malfunction has been found to cause several severe diseases. Knowing which substrate is pumped by a certain P-Type ATPase is therefore vital. The P-Type ATPases can be divided into 11 subtypes based on their specificity, that is, the substrate that they pump. Determining the subtype experimentally is time-consuming. Thus it is of great interest to be able to accurately predict the subtype based on the amino acid sequence only. We present an approach to P-Type ATPase sequence classification based on the k-nearest neighbors, similar to a homology search, and show that this method provides performs very well and, to the best of our knowledge, better than any existing method despite its simplicity. The classifier is made available as a web service at http://services.birc. au.dk/patbox/ which also provides access to a database of potential P-Type ATPases and their predicted subtypes.
Organizing the Aggregate: Languages for Spatial Computing

As the number of computing devices embedded into engineered systems continues to rise, there is a widening gap between the needs of the user to control aggregates of devices and the complex technology of individual devices. Spatial computing attempts to bridge this gap for systems with local communication by exploiting the connection between physical locality and device connectivity. A large number of spatial computing domain specic languages (DSLs) have emerged across diverse domains, from biology and recongurable computing, to sensor networks and agent-based systems. In this paper, we develop a framework for analyzing and comparing spatial computing DSLs, survey the current state of the art, and provide a roadmap for future spatial computing DSL investigation.
Complex illusions of peace : an interdisciplinary approach to conflict reversion in Afghanistan, 1979-2014

Why do some intrastate conflict-affected states revert back to conflict, while others do not? This thesis aims to answer this question by proposing an interdisciplinary and multi-method approach to analyze the phenomenon of intrastate conflict reversion. I begin my analysis by highlighting the problematic approach of examining conflict reversion as 'frozen' or 'stuck' in equilibrium. Then, I address the shortcomings of applying 2-actor game theory models to the study of conflict reversion by linking ecological and social sciences under the theoretical framework of complexity theory. I introduce a novel model called the Competitive Efficiency Model (CEM) that embraces international relations (IR), ecology and complexity theory to simulate intrastate conflict dynamics through statistical and numerical modeling. I explain the applicability of the CEM by demonstrating mathematical principles of the model to both hypothetical scenarios and scenarios with real data. Next, I develop a set of cases from countries that experienced intrastate conflict (1946-2014). From these numerous cases, I select the case of Afghanistan (1979-2014) as an exploratory case study. The thesis contributes to existing knowledge in four core areas of conflict dynamics within the IR discipline: (1) how the misconception of equilibrium to describe conflict dynamics can be detrimental to IR and conflict scholars' ability to interpret conflict processes; (2) how an interdisciplinary approach coalesced with IR, ecology, and complexity theory, can increase our understanding of conflict reversion; (3) how population dynamics from ecology theory can be applied to better understand conflict reversion; and (4) using a mixed methods approach of statistical, numerical and a historical narrative can uncover mechanisms behind conflict reversion. This thesis concludes by summarizing key theoretical and empirical findings and main policy implications. I close by discussing some limitations within the thesis that has allowed room for future research on conflict reversion.