Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Regular Expression Processing Circuits for NIDS on FPGA

Recent Network Intrusion Detection System (NIDS) utilizes more and more Regular Expression to describe malicious patterns existing in the content payload of packets. Many researches are investigated and several techniques are introduced to optimize performance and support all functions of regular expression on hardware platform. However there is very few researches in the minimization of multiple regular expressions. This paper takes in account of compiling multiple regular expressions with respect to optimize hardware resources. We take advantage of block memory to implement character matching and present a novel sharing architecture which completely supports sharing common parts among given set of regular expressions. Experimental results show that our optimization can reduce 46% area circuits compared with previous approaches and achieve throughput of 1.5-2.1 Gbps on Snort malicious database.
Association of metabotropic glutamate receptor 3 gene polymorphisms with schizophrenia risk: evidence from a meta-analysis

To date, the role of metabotropic glutamate receptor 3 (GRM3) rs274622, rs1468412, rs917071, rs6465084, and rs2299225 polymorphisms in schizophrenia remains controversial. To provide a clearer picture for the effect of the five most studied GRM3 polymorphisms on risk of schizophrenia, this meta-analysis with eligible data from published studies was performed. Relevant case–control studies were retrieved by literature search and selected according to established inclusion criteria. Odds ratios with 95% confidence intervals were used to assess the strength of association. A total of 33 individual studies were identified and included in our meta-analysis: nine for rs1468412, with 5,314 cases and 6,147 controls; six for rs917071, with 2,660 cases and 3,517 controls; seven for rs274622, with 3,820 cases and 4,015 controls; five for rs2299225, with 3,492 cases and 3,735 controls; and six for rs6465084, with 4,960 cases and 5,613 controls. However, no significant association was found between these GRM3 polymorphisms and schizophrenia in the overall population. With respect to rs1468412 polymorphism, a finding of very borderline statistical significance emerged in dominant comparison model for non-Asian populations, calling for large-scale verification to assess the marginally elevated risk of schizophrenia. In conclusion, these GRM3 polymorphisms have limited effect on the risks of schizophrenia. Further large and well-designed studies are needed to confirm this conclusion.
Nutritional Support in Neurological Diseases Topic 25 Module 25 . 2 Nutritional Support In Acute Neurological Diseases ( traumatic brain & spinal cord injuries )

 Know the deleterious consequences of energy and protein deficit;  Know the most appropriate macronutrients needs: repartition, amount, time, route;  Know the reasons for undernutrition and the strategies to prevent and treat them: interruptions, gastrointestinal dysfunctions;  Know the specific indications of micronutrients, vitamins and trace elements diet supplementation.
On making TCP more robust to packet reordering

Previous research indicates that packet reordering is not a rare event on some Internet paths. Reordering can cause performance problems for TCP's fast retransmission algorithm, which uses the arrival of duplicate acknowledgments to detect segment loss. Duplicate acknowledgments can be caused by the loss of a segment or by the reordering of segments by the network. In this paper we illustrate the impact of reordering on TCP performance. In addition, we show the performance of a conservative approach to "undo" the congestion control state changes made in conjunction with spurious retransmissions. Finally, we propose several alternatives to dynamically make the fast retransmission algorithm more tolerant of the reordering observed in the network and assess these algorithms.
Two connectionist models for graph processing: An experimental comparison on relational data

In this paper, two recently developed connectionist models for learning from relational or graph-structured data, i.e. Relational Neural Networks (RelNNs) and Graph Neural Networks (GNNs), are compared. We first introduce a general paradigm for connectionist learning from graphs that covers both approaches, and situate the approaches in this general paradigm. This gives a first view on how they relate to each other. As RelNNs have been developed with learning aggregate functions in mind, we compare them to GNNs for this specific task. Next, we compare both with other relational learners on a number of benchmark problems (mutagenesis, biodegradability). The results are promising and suggest that RelNNs and GNNs can be a viable approach for learning on relational data. They also point out a number of differences in behavior between both approaches that deserve further study.
Dextrous Assembler Robot Working with Embodied Intelligence SEVENTH FRAMEWORK PROGRAMME ICT Priority Deliverable D 3 . 5 : “ Integration of depth images

Estimating the pose of objects from range data is a problem of considerable practical importance for many vision applications. This paper presents an approach for accurate and efficient 3D pose estimation from 2.5D range images. Initialized with an approximate pose estimate, the proposed approach refines it so that it accurately accounts for a sensed range image. This is achieved by using a hypothesize-and-test scheme that combines randomized optimization and graphics-based rendering to minimize an objective function that quantifies the misalignment between the acquired and a rendered range image. Extensive experimental results demonstrate the superior performance of the proposed approach compared to the commonly used Iterative Closest Point (ICP) algorithm.
The Flowering of Optimality Theory : Ponapean Nasal Substitution and the Problem of Intermediate Forms

One of the challenges that has confronted Optimality Theory resides in Phenomena that seem to require reference to an intermediate form that is neither the underlying input nor some actual occurring output. Typically, in rule-based phonology, such phenomeana reflect opaque rule interaction involving counterfeeding or counterbleeding relationships. In order to account for such pheneomena in Optimality Theory, McCarthy(1997) Proposes that an Optimality-theoretic grammar can permit candidate-to-candidate faithfulness. In this paper I show that the incorporation of candidate-to-candidate faithfulness allows for an insightful analysis of the different patterns of nasal substitution found in reduplication and suffixation in Ponapean. The analysis offered here avoids the shortcomings of previous analyses, accurately captures the generalization as to when nasal substitution occurs, and offers striking evidence for the nature of opacity in Optimality Theory independent of rule-based notions like counterfeeding and counterbleeding.
An update to the Raymond–Roy Occlusion Classification of intracranial aneurysms treated with coil embolization

Background The Raymond–Roy Occlusion Classification (RROC) is the standard for evaluating coiled aneurysms (Class I: complete obliteration; Class II: residual neck; Class III: residual aneurysm), but not all Class III aneurysms behave the same over time. Methods This is a retrospective review of 370 patients with 390 intracranial aneurysms treated with coil embolization. A Modified Raymond–Roy Classification (MRRC), in which Class IIIa designates contrast within the coil interstices and Class IIIb contrast along the aneurysm wall, was applied retrospectively. Results Class IIIa aneurysms were more likely to improve to Class I or II than Class IIIb aneurysms (83.34% vs 14.89%, p<0.001) and were also more likely than Class II to improve to Class I (52.78% vs 16.90%, p<0.001). Class IIIb aneurysms were more likely to remain incompletely occluded than Class IIIa aneurysms (85.11% vs 16.67%, p<0.001). Class IIIb aneurysms were larger with wider necks while Class IIIa aneurysms had higher packing density. Class IIIb aneurysms had a higher retreatment rate (33.87% vs 6.54%, p<0.001) and a trend toward higher subsequent rupture rate (3.23% vs 0.00%, p=0.068). Conclusions We propose the MRRC to further differentiate Class III aneurysms into those likely to progress to complete occlusion and those likely to remain incompletely occluded or to worsen. The MRRC has the potential to expand the definition of adequate coil embolization, possibly decrease procedural risk, and help endovascular neurosurgeons predict which patients need closer angiographic follow-up. These findings need to be validated in a prospective study with independent blinded angiographic grading.
Real-time augmentation of a children ’ s card game

Still today, trading card games make up a sizable part of the entertainment industry. However, their tired paper form is being rapidly taken over by digital equivalents. In this paper, we propose a way to reinvigorate interest in physical trading card games by making them more interactive through real-time 3D augmentation. While our ideal application would run on an AR headset such as the Hololens, we build a proof-ofconcept application on a commercially available Android tablet which is able to augment existing Pokemon trading card. We show that using a modern CPU in conjunction with a GPU, this task is entirely tractable on a mobile device with few restrictions.
Holonomic and omnidirectional vehicle with conventional tires

A new type of holonomic omnidirectional vehicle which consists of wheel mechanisms without free rollers but with conventional tires is presented. We first present the concept of a new driving wheel mechanism with a tire in the conventional style such as a rubber tire or a pneumatic tire, an "offset steered driving wheel". The configuration of the wheel has an offset distance between the wheel axle and the steering axle along the direction of wheel travelling. We then describe the kinematics and the control method of the offset steered driving wheel to provide an omnidirectional and holonomic capability for a vehicle by actuating the wheel axis and the steering axis independently. The wheel is a nonholonomic system, and we introduce a control strategy to avoid a nonholonomic constraint. Simulation results of the single driving wheel and the two-wheeled vehicle are performed to test the control method. The concept of offset steered driving wheel is implemented and tested on a prototype of the holonomic omnidirectional vehicle. Experimental results demonstrate high mobility of the vehicle prototype.
Distortion compensated lookup-table embedding: joint security and robustness enhancement for quantization-based data hiding

Data embedding mechanism used for authentication applications should be secure in order to prevent an adversary from forging the embedded data at his/her will. Meanwhile, semi-fragileness is often preferred to allow for distinguishing content changes versus non-content changes. In this paper, we focus on jointly enhancing the robustness and security of the embedding mechanism, which can be used as a building block for authentication. The paper presents analysis showing that embedding through a look-up table (LUT) of non-trivial run that maps quantized multimedia features randomly to binary data offers a probability of detection error considerably smaller than that of the traditional quantization embedding. We quantify the security strength of LUT embedding and enhance its robustness through distortion compensation. We introduce a combined security and capacity measure and show that the proposed distortion compensated LUT embedding provides joint enhancement of security and robustness over the traditional quantization embedding.
XML Optimistic Concurrency Control Protocol for DOM API

XML concurrency control protocol ensures that transactions execute atomically in a XML database system. Existing concurrency control methods for XML are mainly based on locking. In this paper, we propose two optimistic concurrency control protocols for XML that use snapshot-based approach. OptiXDOM extends traditional backward-oriented optimistic concurrency control protocol while FOCCXDOM is based on forward-oriented approach. Both protocols are optimized for XML data and can be used in XML DOM API. Experiments show that both OptiXDOM and FOCCXDOM have better performance than that of lock-based approach when conflicts are few. Furthermore, FOCCXDOM has the larger throughput and higher abort rate than that of OptiXDOM in most cases.
Iota: an approach to physically-based modelling in virtual environments

Physically-based modelling is a powerful technique for specifying the laws and characteristics of virtual environments (VEs) and the objects they contain. In this paper, we describe Iota, a component framework for creating and interacting with multi-body physically-based models in VEs. In conclusion, we present two case studies implemented within the framework.
N-gram based algorithm for distinguishing between Hindi and Sanskrit texts

Language Identification (LI) is the process of determining the natural language in which the given content is written. It is an important preprocessing step in many tasks of Natural Language Processing (NLP). In a multilingual society like India, automatic language identification has a wider scope, since it would be a vital step in bridging the digital divide between the Indian masses and others. In this paper, we present an N-gram based method of language identification for documents written in Hindi and Sanskrit, which have the same script and the results are shown. The technique can also be applied to other pairs of Indian languages sharing common scripts.
An autoethnography of a neurotypical adoptive mother’s journey through adoption into the world(s) of intellectual variety in the early years of the U.S. Education System

This narrative is my story of being catapulted from a distanced space of relative naïveté and unknowing about the lives and challenges that children with disabilities face in the school system. It is also a tale about my increased radicalization birthed from witnessing my daughter’s school experiences and the informal social relations of childhood. Mine is one of many stories that could be told about this set of experiences. Taking an evocative, autoethnographic approach, and blending the evocative and analytical traditions provides me with a unique reflexive vehicle. It allows a critical connection and reflection on my own experiences and the literature, as my family identifies, deconstructs, and responds to the cultural, social, and political dimensions of our daughter’s life in the geography she has inhabits as a “child with special needs. ” The focus in this work is on her early years including placement, infancy, pre-school, and kindergarten.
Population X: Are the super-Eddington X-ray sources beamed jets in microblazars or intermediate mass black holes?

Recent x-ray observations reveal an increasing number of x-ray sources in nearby galaxies exceeding luminosities of Lx >~ 2 x 10^39 erg s-1. Assuming isotropic emission, the Eddington limit suggests a population of intermediate-mass black holes of M >> 10 Msun. However, Markoff et al. proposed that jets may be contributing to the x-ray emission from x-ray binaries (XRBs), implying that some x-ray sources may be relativistically beamed. This could reduce the required black hole masses to standard values. To test this hypothesis, we investigate a simple x-ray population synthesis model for x-ray point sources in galaxies with relativistic beaming and compare it with an isotropic emission model. The model is used to explain a combined data set of x-ray point sources in nearby galaxies. We show that the current distributions are consistent with black hole masses M < ~10 Msun and bulk Lorentz factors for jets in microquasars of gammaj ~ 5. Alternatively, intermediate mass black holes up to 1000 Msun are required which are distributed in a powerlaw with roughly (dN)/(dM) ~ M^-2.
Automatically Training a Problematic Dialogue Predictor for a Spoken Dialogue System

Spoken dialogue systems promise efficient and natural access to a large variety of information sources and services from any phone. However, current spoken dialogue systems are deficient in their strategies for preventing, identifying and repairing problems that arise in the conversation. This paper reports results on automatically training a Problematic Dialogue Predictor to predict problematic human-computer dialogues using a corpus of 4692 dialogues collected with the How May I Help YouSM spoken dialogue system. The Problematic Dialogue Predictor can be immediately applied to the system's decision of whether to transfer the call to a human customer care agent, or be used as a cue to the system's dialogue manager to modify its behavior to repair problems, and even perhaps, to prevent them. We show that a Problematic Dialogue Predictor using automatically-obtainable features from the first two exchanges in the dialogue can predict problematic dialogues 13.2% more accurately than the baseline.
UvA-DARE (Digital Academic Repository) Learning to solve figural matrix analogies: The paths children take

Analogical reasoning is essential for acquiring and integrating new knowledge and skills. Although much re- search has focused on this important skill, children's paths from non-analogical to analogical reasoning remain unclear. In this study, 388 children (ages 4 – 10years) solved a series of ﬁ gural analogies within a pretest- training-posttest design, with training comprising either multiple tries ( N =196) or tutoring feedback ( N =192). Working memory tasks were also administered. Latent transition analyses identi ﬁ ed ﬁ ve phases with qualitative individual di ﬀ erences in children's analogy solving: duplication, idiosyncratic, beginner analogical, intermediate analogical and advanced analogical reasoning. Children's paths through these phases were not sequential; there was great variability between children and how they progressed through these phases. Working memory was related to children's reasoning phase at pretest, but not to their rate and path of change. Age and the type of feedback received during training were the clearest indicators of children's learning paths and rates of change.
Driving Trail Making Test part B: a variant of the TMT-B

[Purpose] The Trail Making Test part B (TMT-B) is used in evaluating driving abilities and includes testing for the executive function. A driving simulator version of this test (DTMT-B) was developed to measure drivers’ executive abilities in three-dimensional space. The purpose of the present study was to assess the validity of the DTMT-B for driving assessment. [Subjects] Thirty stroke patients and 65 healthy subjects were recruited. [Methods] Participants performed the TMT-B and DTMT-B. The DTMT-B was run on a driving simulator in which the individual performed a task on virtual roads connecting the lettered and numbered TMT-B points by simulated driving instead of connecting them with lines as in the paper or computerized TMT-B. Intra-class correlation coefficients (ICCs) were used to assess validities. Significant correlations were found between the TMT-B and DTMT-B. [Results] Participants performed the TMT-B and DTMT-B. Intra-class correlation coefficients (ICCs) were used to assess validities. Significant correlations were found between the TMT-B and DTMT-B. [Conclusion] The results suggest that the DTMT-B may be useful as part of driver screening assessment using a driving simulator for stroke patients and that it may also be used to assess the executive functions for healthy people.
Human Assisted Speaker Recognition In NIST SRE10

The NIST series of Speaker Recognition Evaluations (SRE’s) have, since 1996, evaluated automatic systems for speaker recognition. The 2010 evaluation (SRE10) also included a test of Human Assisted Speaker Recognition (HASR), in which systems based, in whole or in part, on human expertise were evaluated. Participants were invited to complete the trials in one of two small subsets of the full set of trials included in the core test of the main automatic system evaluation. The performance of these human dependent systems is currently being scored and analyzed. Their performance will be compared with the best automatic system results on the same trial subsets.
Carbohydrate loading in practice: high muscle glycogen concentration is not certain.

It is believed that muscle glycogen resynthesis can be stimulated by depleting the glycogen stores by heavy physical exercise and then eating a diet rich in carbohydrates. In this study, we compared muscle glycogen concentrations after two different depletion and loading procedures in six male runners. The depletion runs for the procedures were a half-marathon race and an easier fartlek. The mean muscle glycogen concentrations (+/- s.e.m.), analysed after the procedures, did not differ significantly between the race and the fartlek being 285 (+/- 25) mmol/kg d.w. (dry weight) versus 315 (+/- 32) mmol/kg d.w. (P greater than 0.05). Moreover, the subjects' glycogen concentrations were not clearly increased above the predepletion values following either procedure. The results show that higher glycogen levels do not necessarily occur after classical carbohydrate-loading procedures.
Evolutionary approaches to group dynamics: An introduction.

An evolutionary perspective offers many new insights in the study of group dynamics. First, groups are an inevitable aspect of human evolution, suggesting that humans have evolved a range of psychological mechanisms to deal with specific challenges of group living. Second, an evolutionary perspective combines and integrates knowledge from different social science disciplines such as psychology, biology, anthropology, and economics to find evidence for group-related psychological adaptations. Third, an evolutionary analysis produces many unique hypotheses about group psychology, showing the promise and generativity of this approach.