Miracle-dz/UniFAR-FTUs huggingface dataset:
TLM Design Framework of Generic NoC for Performance Exploration

It is estimated that video and audio processing are going to be common tasks in many applications. These applications are going to require large storage and intensive processing of large amount of data. This evolution of SoC promotes Network on Chip to be “a first class” on chip communication architecture. NoC reuses many concepts to computer network, offers high scalability, modularity and bandwidth. In addition NoC avoids some bus architecture problem like skew time. The aim of this paper is to propose a SystemC transaction level model of NoC in 2D mesh topology. We try in this model to extract a maximum number of parameters for performance exploration, optimization and above all to increase its reconfiguration degree.
Generative Embedded Mapping Systems for Design

We introduce a computational design workflow based on training examples: Generative Embedded Mapping Systems (GEMS). GEMS enable a designer to leverage embedded spaces to provide parametric systems with automatic mappings to future input data. Instead of specifying a rule-based system for mapping data based on predefined attributes, designers provide parameter values across a set of training examples. These training values serve as anchor points bridging a parameter and embedding space. Settings for new data can then be extrapolated from known pairs. A Neural Caricature application is examined as an example implementation of this workflow. The Neural Caricature architecture is more modular, upgradable, and can capture more nuance than systems using more traditional representation based mappings. Figure 1: Neural Caricature examples: Matrix of solutions from five different students applied to four images. Each row represents a unique caricature system applied to an input photo containing one, two, four, or ten faces. Some extrinsic settings are provided by facial landmarks, such as position and scale of the face. Other variations are driven from the mapping to the embedded space. In practice, these mappings have been shown to capture qualities such as gender, skin tone, and facial expression. The designer provides settings for sample inputs and need not consider any of these named attributes explicitly. Figure 2: Neural Caricature workflow: Designer creates a parametric system for representing a face (in this case, as a robot). Parameters to the system are provided which match a set of training images that can be paired with vectors in an embedded space (green dots). When the system later encounters new input images, parameters can be inferred by similarly mapping the new image to a vector in the embedded space (red dot) and then interpolating the parameter values from nearest neighbors. The types and quality of inferences available will depend on the nature of the embedded space and the training data provided. 31st Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA.
Effectiveness and cost-utility of a guided self-help exercise program for patients treated with total laryngectomy

Background: Total laryngectomy with or without adjuvant (chemo)radiation often induces speech, swallowing and neck and shoulder problems. Speech, swallowing and shoulder exercises may prevent or diminish these problems. The aim of the present paper is to describe the study, which is designed to investigate the effectiveness and cost-utility of a guided self-help exercise program built into the application “In Tune without Cords” among patients treated with total laryngectomy. Methods/design: Patients, up to 5 years earlier treated with total laryngectomy with or without (chemo)radiation will be recruited for participation in this study. Patients willing to participate will be randomized to the intervention or control group (1:1). Patients in the intervention group will be provided access to a guided self-help exercise program and a self-care education program built into the application “In Tune without Cords”. Patients in the control group will only be provided access to the self-care education program. The primary outcome is the difference in swallowing quality (SWAL-QOL) between the intervention and control group. Secondary outcome measures address speech problems (SHI), shoulder disability (SDQ), quality of life (EORTC QLQ-C30, QLQ-H&N35 and EQ-5D), direct and indirect costs (adjusted iMCQ and iPCQ measures) and self-management (PAM). Patients will be asked to complete these outcome measures at baseline, immediately after the intervention or control period (i.e. at 3 months follow-up) and at 6 months follow-up. Discussion: This randomized controlled trial will provide knowledge on the effectiveness of a guided self-help exercise program for patients treated with total laryngectomy. In addition, information on the value for money of such an exercise program will be provided. If this guided self-help program is (cost)effective for patients treated with total laryngectomy, the next step will be to implement this exercise program in current clinical practice. Trial registration: NTR5255 Protocol version 4 date September 2015.
Open Archive Toulouse Archive Ouverte (OATAO)

Péronnet, Elodie and Dalverny, Olivier and Welemane, Hélène and Mistou, Sebastien Identification of damaged zone in composite materials using displacement field measurements. (2012) In: International conference on experimental mechanics ICEM 15, July 22-27, 2012. , Porto (Portugal). (Unpublished) Open Archive Toulouse Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible.
Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

This paper proposes a combination of a convolutional and an LSTM network to improve the accuracy of OCR on early printed books. While the default approach of line based OCR is to use a single LSTM layer as provided by the well-established OCR software OCRopus (OCRopy), we utilize a CNN-and Pooling-Layer combination in advance of an LSTM layer as implemented by the novel OCR software Calamari. Since historical prints often require book speci ﬁ c models trained on manually labeled ground truth (GT) the goal is to maximize the recognition accuracy of a trained model while keeping the needed manual e ﬀ ort to a minimum. We show, that the deep model signi ﬁ cantly outperforms the shallow LSTM network when using both many and only a few training examples, although the deep network has a higher amount of trainable parameters. Hereby, the error rate is reduced by a factor of up to 55%, yielding character error rates (CER) of 1% and below for 1,000 lines of training. To further improve the results, we apply a con ﬁ dence voting mechanism to achieve CERs below 0 . 5%. A simple data augmentation scheme and the usage of pretrained models reduces the CER further by up to 62% if only few training data is available. Thus, we require only 100 lines of GT to reach an average CER of 1.2%. The runtime of the deep model for training and prediction of a book behaves very similar to a shallow network when trained on a CPU. However, the usage of a GPU, as supported by Calamari, reduces the prediction time by a factor of at least four and the training time by more than six.
Winter 12-7-2014 Data Visualization for Network Simulations

As many other kinds of simulation experiments, simulations of computer networks tend to generate high volumes of output data. While the collection and the statistical processing of these data are challenges in and of themselves, creating meaningful visualizations from them is as much an art as it is a science. A sophisticated body of knowledge in information design and data visualization has been developed and continues to evolve. However, many of the visualizations created by the network simulation community tend to be less than optimal at creating compelling, informative narratives from experimental output data. The primary contribution of this paper is to explore some of the design dimensions in visualization and some advances in the field that are applicable to network simulation. We also discuss developments in the creation of the visualization subsystem in the Simulation Automation Framework for Experiments (SAFE) in the context of best practices for data visualization.
Dissociable Neural Systems Supporting Knowledge about Human Character Appearance in Ourselves and Others Citation

■ Functional neuroimaging has identified a neural system comprised of posterior cingulate (pCC) and medial prefrontal (mPFC) cortices that appears to mediate self-referential thought. It is unclear whether the two components of this system mediate similar or different psychological processes, and how specific this system is for self relative to others. In an fMRI study, we compared brain responses for evaluation of character (e.g., honest) versus appearance (e.g., svelte) for oneself, oneʼs mother (a close other), and President Bush (a distant other). There was a double dissociation between dorsal mPFC, which was more engaged for character than appearance judgments, and pCC, which was more engaged for appearance than character judgments. A ventral region of mPFC was engaged for judgments involving oneʼs own character and appearance, and oneʼs motherʼs character, but not her appearance. A follow-up behavioral study indicated that participants rate their own character and appearance, and their motherʼs character, but not her appearance, as important in their self-concept. This suggests that ventral mPFC activation reflects its role in processing information relevant to the self, but not limited to the self. Thus, specific neural systems mediate specific aspects of thinking about character and appearance in oneself
Recent Developments in Multi-nutrient Extractants Used in Soil Analysis

From 1960s to 2016, from subsistence farming to sustainable farming, from deficiency in food grain production to sufficiency in food grain production, there has been a continuous increase in fertilizer use in India and side by side there is an increase in different nutrient deficiency occurring in soil. In Marusthali 12% soils are deficient in NPKSZn, similarly 18%, 35%, 36% soils of Chhotnagpur plateau, Bengal basin and Rajasthan Bagar areas are deficient in NPKSBZn, NKB and NK respectively. So in order to get this multinutrient deficiency or sufficiency status of the soil rapidly and accurately, a multinutrient extractant is necessary. There has been continuous International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 5 (2017) pp. 2578-2584 Journal homepage: http://www.ijcmas. com
Young tidal dwarf galaxies cannot be used to probe dark matter in galaxies

The location of dark-matter free, tidal dwarf galaxies (TDGs) in the baryonic Tully Fisher (bTF) diagram has been used to test cosmological scenarios, leading to various and controversial results. Using new high-resolution 3D spectroscopic data, we re-investigate the morpho-kinematics of these galaxies to verify whether or not they can be used for such a purpose. We find that the three observed TDGs are kinematically not virialized and show complex morphologies and kinematics, leading to considerable uncertainties about their intrinsic rotation velocities and their locations on the bTF. Only one TDG can be identify as a (perturbed) rotation disk that it is indeed a sub-component of NGC5291N and that lies at $<$1$\sigma$ from the local bTF relation. It results that the presently studied TDGs are young, dynamically forming objects, which are not enough virialized to robustly challenge cosmological scenarios.
A new algorithm for inferring hybridization events based on the detection of horizontal gene transfers

Hybridization and horizontal gene transfer are two major mechanisms of reticulate evolution. Both of them allows for a creation of new species by recombining genes or chromosomes of the existing organisms. An effective detection of hybridization events and estimation of their evolutionary significance have been recognized as one of the main hurdles of the modern computational biology. In this article, we underline common features characterizing horizontal gene transfer and hybridization phenomena and describe a new algorithm for the inference and validation of the diploid hybridization events, when the newly created hybrid has the same number of chromosomes as the parent species. A simulation study was carried out to examine the ability of the proposed algorithm to infer correct hybrids and their parents in various practical situations.
ASSESSING SERVICE-LEARNING OUTCOMES IN A PRINCIPLES OF MARKETING COURSE: A TEAM-BASED VS. INDIVIDUAL-BASED APPROACH

This paper provides a discussion of assessment outcomes of service-learning assignments for students in a marketing course. Specifically, the coverage includes a description of service-learning, the formulation of servicelearning objectives, the utilization of service-learning assignments for marketing students, and assessment methods for service-learning objectives. Further, it sets forth the results of an empirical study to measure service-learning outcomes for students in a marketing principles course. The results include data that was collected at a Western U.S. university over an eight-year period. The inquiry indicates that many of these students benefit from a service-learning project with regards to their career, academics, personal development, and civic responsibility. The results also demonstrate that team-based service-learning projects tend to receive more positive assessments than individuallybased projects across career, personal development, and civic responsibility outcomes.
Cost function estimation of multi-service firms. Evidence from the passenger transport industry

In this paper, using a sample of Italian passenger transport firms, we compare the estimates from a Composite Cost Function econometric model (Pulley and Braunstein, 1992) with the ones coming from other traditional functional forms such as the Standard Translog, the Generalized Translog, and the Separable Quadratic. The results highlight the presence of global scope and scale economies only for multi-service firms (providing urban, intercity and for-hire bus transport services) with output levels lower than the ones characterising the â€˜averageâ€™ firm. This indicates that relatively small, specialised firms would benefit from cost reductions by evolving into multi-service firms providing urban, intercity and for-hire bus transport. As for the intercity service, the most efficient solution seems the integration with urban operators rather than integrating with for-hire bus services.
A Blessing or a Curse? The Long-Term Effect of Resource Booms on Human Capital

Is natural resource abundance a blessing or a curse for a country? An important concern is the possibility that resource booms reduce human capital accumulation. These booms favor low-skill jobs, which increases the opportunity cost of education making it optimal for some cohorts to interrupt their education. If these individuals do not resume their education, they may lose pecuniary and non-pecuniary benefits of education in their lifetime. For a country, lower human capital may constrain its long-term growth. I use proprietary individual-level data to study the long-term effects of exposure to the 1970s oil boom on human capital accumulation in the context of a developing country. I exploit variation in the timing of the shock and geographic differences in the cost of college attendance and find that exposure to the boom decreased college completion and increased low-skill occupation among affected individuals. I show evidence consistent with the hypothesis that individuals shift into highly remunerative low skilled employment and away from college because the boom decreased the returns of a college education. In line with this, despite the reduction in educational attainment, I find no effects on wealth accumulation.
Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices

Abstract As a generalization of the standard phase retrieval problem,we seek to reconstruct symmetric rank- 1 matrices from inner products with subclasses of positive semidefinite matrices. For such subclasses, we introduce random cubatures for spaces of multivariate polynomials based on moment conditions. The inner products with samples from sufficiently strong random cubatures allow the reconstruction of symmetric rank- 1 matrices with a decent probability by solving the feasibility problem of a semidefinite program.
Effect of alum (top-dressed and mixed) with rice hulls on pH and ammonia emissions from poultry houses

The use of aluminum sulfate [alum; Al 2 (SO 3 ) 4 ·14H 2 O] as top dressing to poultry litter has been proven in reducing ammonia (NH 3 ) volatilization under both laboratory and field tests; however, there has been no information of alum application in mixing methods from poultry litter or rice hulls. The aim of the experiment was to evaluate the effects of alum top dressed or mixed with rice hulls as litter management methods on pH and NH3 emissions. A total of 180 broiler chickens were randomly allocated to 12 pens to a density of 0.07 m 2 /bird for 5 weeks, creating 4 replicates of 3 experimental treatments with 15 birds per experimental unit as a completely randomized design. The treatments included an untreated control, 100 g of alum (top dressing) and 100 g of alum (mixed)/kg of rice hull. In addition, alum treatment was usually applied by top dressing onto the rice hulls or fully mixed with the rice hulls. During the experimental period, pH and NH 3 emissions were significantly reduced by the two different methods of alum amendments (P 0.05) in pH and NH 3 emission were observed between the two different methods with alum for 5 weeks. The reduction in NH 3 emission from 100 g of alum top-dressed and 100 g of alum fully mixed with kg of rice hull at 5 weeks was 50 and 51%, respectively. In summary, these results indicate that “mixing” methods of alum as well as top dressing would serve as a suitable method for decreasing NH 3 emission, which resulted in lower pH. Key words : Alum, top dressing, mixing, pH, ammonia.
MONTE CARLO CALCULATION OF THE AVERAGE EXTENSION OF MOLECULAR CHAINS

The behavior of chains of very many molecules is investigated by solving a restricted random walk problem on a cubic lattice in three dimensions and a square lattice in two dimensions. In the Monte Carlo calculation a large number of chains are generated at random, subject to the restrictions of no crossing or doubling back, to give the average extension of the chain 〈R2〉Av as a function of N, the number of links in the chain. A system of weights is used in order that all possible allowed chains are counted equally. Results for the true random walk problem without weights are obtained also.
Adaptive Refinement for Unified Subdivisions with Sharp Features

AbstractThis paper proposes a conceptually simple strategy for adaptive subdivision of unified subdivision surfaces with sharp features. A key feature of the proposed adaptive subdivision algorithms is that it follows exactly the same rule of the respective subdivision, which ensures correct evaluation of both refined control vertices and the corresponding limit positions. Another important feature is that it provides a universal API for unified subdivision surfaces with sharp features.
Mental health and wellbeing of jockeys

Despite receiving much public attention in recent years, the mental health status of jockeys has not been established. This study investigated the incidence of common mental health disorders in jockeys. Amateur (n=74) and professional (n=42) jockeys completed an online anonymous questionnaire incorporating validated self-reported measurement tools to assess the prevalence of psychological distress, depression, anxiety, social phobia, perceived stress and self-esteem. Personal and lifestyle characteristics were also reported. Fifty four percent of jockeys were experiencing symptoms of at least one of general psychological distress, depression, general anxiety disorder or social anxiety. Professional jockeys displayed significantly greater mean scores on measures of psychological distress (p<0.01), depression (p<0.05), anxiety (p<0.05) and perceived stress (p<0.01). No difference was present in measures between professional flat and jump jockeys. Professional jockeys were classified as displaying symptoms of depression (mean score 20.29; 57.1% at or above threshold of 16) and perceived stress (mean score 20.24; 52.4% at or above threshold of 20). Current injury, social anxiety or high levels of perceived stress increased the likelihood of displaying depressive symptoms in the jockey sample. With a high prevalence of depression and perceived stress evident in professional jockeys, mental health support strategies should be implemented with specific focus on stress management and dealing with injury. Future research should further investigate factors that increase the susceptibility of jockeys to mental health disorders.
On-orbit Demonstration of a Sun Sensor on the Micro-Satellite MAIDO-1

A 50-kg-class microsatellite “MAIDO-1 (SOHLA-1)” was launched, along with six other piggyback subsatellites, by a Japanese H-2A rocket on January 23, 2009. The fundamental and detailed designs of the satellite were developed by university students under the technical guidance of the Japan Aerospace Exploration Agency (JAXA). A string-type sun sensor (Fudai Sun Sensor; FSS) was also developed by the students with the technical assistance of JAXA and Advanced Engineering Services (AES) Co. Ltd. The FSS was mounted on the satellite as an experimental component. This paper reports the development of MAIDO-1 and FSS as well as the satellite operation by the students and the results of on-orbit experiments. ABSTRAK: Satu mikrosatelit kelas 50 kg “MAIDO-1 (SOHLA-1)” telah dilancarkan, bersama enam lagi subsatelit gendong, dengan menggunakan roket H-2A (Jepun) pada 23 Januari, 2009. Reka bentuk satelit yang asas dan terperinci dibangunkan oleh para pelajar universiti di bawah bimbingan teknikal Agensi Explorasi Aeroangkasa Jepun (Japan Aerospace Exploration Agency (JAXA)). Sejenis penderia matahari bertali (Fudai Sun Sensor; FSS) juga dibangunkan oleh para penuntut dengan bantuan teknikal dari pihak JAXA dan Advanced Engineering Services (AES) Sdn. Bhd. FSS telah dilekapkan ke satelit sebagai komponen eksperimental. Kertas ini membentangkan perkembangan MAIDO-1 dan FSS, operasi satelit oleh pelajar-pelajar dan keputusan eksperimen semasa dalam orbit.