Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship between Eye Movements and Reading

We are writing in response to the review article: Stein. J. (2018). What is Developmental Dyslexia? Brain Sciences, 8, 26, doi:10.3390/brainsci8020026. We consider that the section entitled, “Eye Movement Control”, presents a misleading characterisation of current empirical and theoretical understanding. We outline five specific points relating to Stein’s views on eye movement control and developmental dyslexia with which we disagree and conclude that disruption to oculomotor behaviour occurs as a consequence of processing difficulty that individuals with dyslexia experience as they engage in reading.
Consistent Color Mappings of Images Acquired Under Various Conditions

Many applications in computer vision require comparisons between two images of the same scene. Comparison applications usually assume that corresponding regions in the two images have similar colors. However, this assumption is not always true due to variations in camera parameters, different illumination conditions, or changes in viewpoint. One way to deal with color variations in the two images is to find a mapping that matches the colors of pixels of the first image with the colors of corresponding pixels in the second image. We define such a mapping as a consistent color mapping. In this dissertation we address the challenge of computing consistent color mappings between pairs of images acquired under different acquisition conditions. For images taken from different viewpoints, our proposed method overcomes the lack of trivial correspondence between their pixels. For images taken under different illumination conditions, we show that no single consistent color mapping exists, and we address and solve a new problem of computing a minimal set of piecewise consistent color mappings. When both viewpoint and illumination vary, our method can only handle planar regions of the scene. In this case, our method simultaneously co-segments planar regions from the two images and computes piecewise consistent color mappings for these regions.
Compact Power Divider Integrated with Coupler and Microstrip Cavity Filter for X-band Surveillance Radar System

This paper present the compact power divider integrated with coupler and microstrip cavity filter for x-band surveillance radar system. These modules consist of several devices (splitter, filter and coupler) it is integrated in a single module aims to reduce the loss in the joint connectors. The bandpass filter is use microstrip cavity filter for operating on X-Band Frequency and deployed on RT/duroid 5880. The power divider and coupler is designed using quarter wavelength transformer. A theoretical analytical circuit model will be presented, from the theoretical model, a compact integrated module will be designed and simulated. The proposed compact integrated module is small in dimension and performs a compact size. The compact integrated devices design on X-Band frequency is simulated and the result is presented.
Circulant Binary Convolutional Networks: Enhancing the Performance of 1-Bit DCNNs With Circulant Back Propagation

The rapidly decreasing computation and memory cost has recently driven the success of many applications in the field of deep learning. Practical applications of deep learning in resource-limited hardware, such as embedded devices and smart phones, however, remain challenging. For binary convolutional networks, the reason lies in the degraded representation caused by binarizing full-precision filters. To address this problem, we propose new circulant filters (CiFs) and a circulant binary convolution (CBConv) to enhance the capacity of binarized convolutional features via our circulant back propagation (CBP). The CiFs can be easily incorporated into existing deep convolutional neural networks (DCNNs), which leads to new Circulant Binary Convolutional Networks (CBCNs). Extensive experiments confirm that the performance gap between the 1-bit and full-precision DCNNs is minimized by increasing the filter diversity, which further increases the representational ability in our networks. Our experiments on ImageNet show that CBCNs achieve 61.4% top-1 accuracy with ResNet18. Compared to the state-of-the-art such as XNOR, CBCNs can achieve up to 10% higher top-1 accuracy with more powerful representational ability.
Functional data analysis for Statfda

A functional variable is one whose values depend on a continuous magnitude such as time. They are functional in the sense that they are evaluated at any time in the domain, instead of the discrete way, in which they were originally measured or observed (Ramsay and Silverman, 2005). Thus, a functional data set is a set of curves {x1(t), . , xn(t)} , with t ∈ T. Each curve can be observed at different time points of his argument t as xi = (xi (t0) , . , xi (tmi)) ′ for the set of times t0, . , tmi , i = 1, . , n and these are not necessarily the same for each curve. Different approaches have been taken to the study of functional data, including the nonparametric methods proposed by Müller (2008) and Ferraty and Vieu (2006) and the basis expansion methods used by Ramsay and Silverman (2005). The latter method is adopted in the present application, in which we seek to reconstruct the functional form of curves in order to evaluate them at any time point t. This method assumes that the curves belong to a finite dimensional space generated a basis of functions {φ1 (t) , . , φp (t)} and so they can be expressed as
L G ] 6 F eb 2 01 8 Recovering Structured Probability Matrices

We consider the problem of accurately recovering a matrix B of size M ×M , which represents a probability distribution over M outcomes, given access to an observed matrix of “counts” generated by taking independent samples from the distribution B. How can structural properties of the underlying matrix B be leveraged to yield computationally efficient and information theoretically optimal reconstruction algorithms? When can accurate reconstruction be accomplished in the sparse data regime? This basic problem lies at the core of a number of questions that are currently being considered by different communities, including building recommendation systems and collaborative filtering in the sparse data regime, community detection in sparse random graphs, learning structured models such as topic models or hidden Markov models, and the efforts from the natural language processing community to compute “word embeddings”. Many aspects of this problem—both in terms of learning and property testing/estimation and on both the algorithmic and information theoretic sides—remain open. Our results apply to the setting where B has a low rank structure. For this setting, we propose an efficient (and practically viable) algorithm that accurately recovers the underlying M ×M matrix using Θ(M) samples (where we assume the rank is a constant). This linear sample complexity is optimal, up to constant factors, in an extremely strong sense: even testing basic properties of the underlying matrix (such as whether it has rank 1 or 2) requires Ω(M) samples. Additionally, we provide an even stronger lower bound showing that distinguishing whether a sequence of observations were drawn from the uniform distribution over M observations versus being generated by a well-conditioned Hidden Markov Model with two hidden states requires Ω(M) observations, while our positive results for recovering B immediately imply that Ω(M) observations suffice to learn such an HMM. This lower bound precludes sublinear-sample hypothesis tests for basic properties, such as identity or uniformity, as well as sublinear sample estimators for quantities such as the entropy rate of HMMs. ∗MIT. Email: qqh@mit.edu. †University of Washington. Email: sham@cs.washington. edu. ‡Stanford University. Email: kweihao@gmail.com. §Stanford University. Email: valiant@stanford.edu.
Pauses in Conference Consecutive Interpreting from English into Chinese:An Empirical Study

Pauses in the process of consecutive interpreting (CI) are believed to be highly related to the interpreter's on-line cognitive processing and his or her application of translation strategies. The present study aims to address the following research questions: (1) What are the features of pauses in CI? (2) What factors motivate the interpreter to pause while he or she is interpreting? (3) What is the real situation as far as the occurrences and time span of different types of pauses are concerned? (4) What types of pauses are more likely to occur in the process of CI? We chose 5 professional conference trainee interpreters as participants to produce task-based interpreting data. Then, by using "stimulated recall protocol", we elicited them immediately to retrospect on every pause occurring while they were performing the tasks. Their retrospections were recorded and transcribed. On the basis of the above, we used the software cooledit pro. (2.0) to analyze the time spans of all the pauses exceeding 0.3 seconds in the task-based data and used the retrospection data to identify different types of pauses and analyze the underlying motivations for pausing. The study shows: (1) in general, most of the pauses are triggered by information organizing, target language retrieving, production modifying and strategies employing; (2) in particular, information organizing causes the most frequent pause occurrences and target language retrieving causes the longest pause lengths; (3) interpreting pauses last much longer than those in second language speech. The results of this study may benefit CI training and relevant studies.
Combining data gathering efficiency with behaviourally realistic modelling A case of park-and-ride facility choice data gathered with a Sequential Best Worst Discrete Choice Experiment and estimated with a Random Regret Minimisation model

Discrete choice modelling (DCM) is a disaggregate method of analysing consumer preference, market share and future demand. It is used in a variety of sectors, including transportation, where the method was developed in the second half of the 20 century. The first applications of the model used only a simple logit model of binary mode choice, with alternatives described by travel time and travel cost (BenAkiva & Lerman, 1994). One of the first notable applications was for the Bay Area Rapid Transit (BART) system in the San Francisco area (McFadden, 2000). Over the years, choice models have been advanced and expanded to include multiple alternatives, socio-demographic characteristics of the respondents, preference and taste heterogeneity, use of different decision rules, latent classes etc. The applications of DCMs were also extended to the fields of telecommunications, healthcare, environment, energy etc. (McFadden, 2000). Combining data gathering efficiency with behaviourally realistic modelling
Domain Adaptation in Part-of-Speech Tagging

Many Natural Language Processing (NLP) applications rely on accuracy of the part-of-speech taggers. Although many taggers have good accuracy for the domain in which they were trained, their accuracy typically is not portable to new domains due to problems, such as different linguistic structures or presence of new words. The need for domain adaptation has emerged as a new challenge for part-of-speech tagging and in most NLP tasks. The goal of this chapter is to highlight solutions that handle labeled and unlabeled data, methods that deal with such data to solve the domain adaptation problem, and to present a case study that has achieved significant accuracy rates on tagging journalistic and scientific texts. DOI: 10.4018/978-1-4666-2169-5.ch003
Distributed Consensus Technologies in Cryptocurrency Applications

Today, most services are provided by centralized institutions: for example a bank, a credit card company, or a social media site. However, using a centralized authority requires trust. With the innovative idea of the blockchain as implemented in the Bitcoin network, distributed institutions that do not require trust become a feasible possibility. We explore the ideas behind Bitcoin’s revolutionary security along with the possibility of the so called “51% attack” on the network. We also review the innovation present in a couple of the hundreds of alt-coins whose basic workings greatly resemble those of Bitcoin, with some crucial differences. Finally, we propose a new, useful altcoin, NDCoin, along with a hypothesis as to the importance of distributed consensus technologies in the future.
A Comparative Study of Big Data Computational Approaches

In this paper we have done a comparative study of diverse methodologies (technologies/methods) based on certain parameters to chalk out which of them is best possible (optimal) or what else needs to be done, to have an optimal solution. As the data is being generated and accumulated at a very high velocity with diversity in addition to it, processing has become a tedious task. Whereas the fact remains that, by processing of this data we will uncover gold from these huge mountains but if it’s left untreated it will become Everest’s of garbage . Since the foundation of term Big Data many methodologies or technologies are present which are being used to process these data mountains. These technologies have their own area of interest due to which there are obvious drawbacks and mode of operations between them. After analysis we found that common to them is low agility and the Data management. Once the data Management issue of Cloud technology is resolved it will prove a boon and cure to the other drawbacks of cloud implementation for processing of BigData. It makes as sure that Cloud technology with better Data Management will be implemented in every phase of life from governments to business.
CO2 Assimilation of Bean Plants (Phaseolus vulgaris L.) in Response to Defense Activators to Xanthomonas axonopodis pv. Phaseoli and its Variant Fuscans

Common bacterial blight is one of the most important diseases in bean crop. Currently, the use of beneficial microorganisms to protect agricultural crops is booming, however, the control efficiency achieved with its application is even lower than conventional methods, which suggests more studies to understand the site and mechanism of protection. The present work was carried out with the purpose of evaluating the effect of the phytohormones jasmonic and salicylic acid, and of the beneficial microorganisms Trichoderma asperellum and Bacillus pumilus as foliar treatments for the protection against the bacterial common blight disease in bean plants. The phytopathogenic bacteria that cause this disease were isolated and identified through biochemical tests. The effect of these bacteria and the treatments on the assimilation of CO2, stomatal conductance and opening of bean plants were evaluated. Isolation of the bacteria Xanthomonas axonopodis pv. phaseoli(Xap) and Xanthomonas axonopodis pv. phaseoli var. fuscans(Xapf) was achieved. The analysis of variance of the evaluated variables indicated a significant difference due to the effect of phytopathogenic bacteria and treatments. The plants inoculated with the Xapf bacteria showed greater severity of the disease. The plants treated with jasmonic acid presented higher tolerance to the causal agents with respect to the rest of the treatments and reduced the assimilation of CO2. No statistically significant difference was found between the rest of the treatments and the control. K e y w o r d s Common bacterial Blight, Stomatal opening, Jasmonic acid, Bacillus pumilus Accepted: 18 May 2019 Available Online: 10 June 2019 Article Info International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 8 Number 06 (2019) Journal homepage: http://www.ijcmas. com Int.J.Curr.Microbiol. App.Sci (2019) 8(6): 3172-3181
Implementation and application of online DPIV system

An online digital particle image velocimery system is introduced,which is developed by the authors.Firstly,the merits of the system over traditional PIV system are explained.Then the hardware and software of the system are introduced.The software of the system is the mostly important part of the system,which includes image acquiring module,auto-correlation image analyzing module,cross-correlation analyzing module and data post-processing module.Experiment of measuring water flow field is designed to evaluate the system.The results show that reasonable velocity distribution of the water flow field is made by the system.PIV image of flow field in an engine in-cylinder is analyzed by the system,and distribution of the velocity in the engine in-cylinder is gotten.
Implementation and Application of Coding Standard for Dispatching Data Objects

By analyzing and studying data structure of regional dispatching system and naming normalization for dispatching data object in CSG,this paper proposes an implementation scheme for realizing coding standard for dispatching data object on the premise of not affecting existing system operation.Aiming at situations of long coding bits and complexity of dispatching data object which may result in difficult implementation for coding,it proposes to use stratification and section method for automatically generating coding and batch import which may well solve problems of difficult implementation and promotion of coding standard and establish a good basis for power grid models sharing and data interaction between dispatching automatic system and other information systems.Combining application of coding standard in Maoming regional dispatching system,it indicates application prospect and practical value of this implementation scheme.
- Böckler-Stiftung RE-THEORIZING THE WELFARE STATE AND THE POLITICAL ECONOMY OF NEOLIBERALISM ’ S WAR AGAINST IT 1

This paper argues neoliberalism is engaged in a war against the welfare state. At issue are competing views regarding the size of the welfare state and how it should be organized. In waging this war, neoliberalism seeks to politically discredit the traditional welfare state and change the economic structure so that the latter becomes unviable. The paper presents a new theoretical framework that distinguishes between modes of production and financing of the welfare estate. Neoliberalism’s war rests on ideologically grounded criticisms drawn from mainstream economics; implementation of policies that undermine social solidarity toward the welfare state; exploiting pressures fostered by neoliberal globalization; and misrepresentations about affordability. The welfare state was critical in saving capitalism from itself after World War II. It is a way of embedding the market system so as to produce socially acceptable outcomes that are politically stable. Neoliberalism’s war promises a body blow against shared prosperity. More ominously, it may so dis-embed the market system as to recreate conditions Polyani (1944) blamed for the rise of fascism in the 1930s. 1 This paper was presented at a conference on "The Crisis of the Welfare State” held at UNAM, Mexico City on September 28 – 29, 2017 and as a keynote address at the meetings of the European Association for Evolutionary Political Economy in Budapest, Hungary on October 19 – 21, 2017. I thank participants for their useful comments and questions. All errors in the paper are the author’s. 2 mail@thomaspalley.com, Washington, DC; FMM Fellow. ————————— Re-theorizing the Welfare State and the Political Economy of Neoliberalism’s War Against It Thomas Palley Washington, DC mail@thomaspalley.com Abstract This paper argues neoliberalism is engaged in a war against the welfare state. At issue are competing views regarding the size of the welfare state and how it should be organized. In waging this war, neoliberalism seeks to politically discredit the traditional welfare state and change the economic structure so that the latter becomes unviable. The paper presents a new theoretical framework that distinguishes between modes of production and financing of the welfare estate. Neoliberalism’s war rests on ideologically grounded criticisms drawn from mainstream economics; implementation of policies that undermine social solidarity toward the welfare state; exploiting pressures fostered by neoliberal globalization; and misrepresentations about affordability. The welfare state was critical in saving capitalism from itself after World War II. It is a way of embedding the market system so as to produce socially acceptable outcomes that are politically stable. Neoliberalism’s war promises a body blow against shared prosperity. More ominously, it may so dis-embed the market system as to recreate conditions Polyani (1944) blamed for the rise of fascism in the 1930s.
Attentive Single-Tasking of Multiple Tasks Appendix

The architecture of [8] learns multiple tasks by using a common backbone and a light-weight decoder (skip connections and 1×1 convolutions) per task. We re-implement the UberNet architecture, and we substitute the VGG [15] backbone of the original work with the SE-ResNet [6] used in our work. The main difference with our architecture are the skip connections and 1 × 1 convolutions that comprise each task-specific head, instead of the powerful Deeplabv3+ ASPP decoder [2] used throughout our work. Similarly to our work, and similarly to the observation of the original author, we observe a non-trivial drop in performance when learning to multi-task with a common, entirely shared backbone (Table 2). We plug-in SE and adversarial training and we recover most of the drop. We provide results for all 3 datasets that have been used throughout this work. Results obtained by our architecture are presented in the last backbone SEA #T Edge ↑ Seg ↑ Norm ↓ Depth ↓ ∆m% ↓ R-26 1 72.9 29.87 24.34 0.650 0 R-26 4 72.4 27.74 24.83 0.729 5.50 R-26 X 4 73.5 30.07 24.316 0.625 -1.36 R-50 1 74.4 32.82 23.3 0.610 R-50 4 73.2 30.95 23.34 0.700 5.44 R-50 X 4 74.5 32.16 23.18 0.570 -1.22 R-101 1 74.9 35.90 22.90 0.580 R-101 4 73.8 31.20 23.07 0.650 6.63 R-101 X 4 75.6 35.60 22.73 0.560 -1.07
Final Report on Integrated Multiscale and Multisource Modelling

Publisher EuroGEOSS Type Text Description Describes the methodology to assess the quality of a workflow with particularly use when multiple scale data and multiple sources can be chosen Contributor Didier Leibovici (UNOTT), Amir Pourabdollah (UNOTT), (UJI), (BRGM) Format Docx and pdf Source Rights Restricted Public Identifier EuroGEOSS_D2.4.2. docx or pdf Language En Relation WP2: D2.4. 1, D2.3; WP3 WP4 WP5: Dx.4 and Dx.6 Coverage
Task-based Search: A Search Engine Perspective

Identifying tasks using implicit interactions. This is especially important for tasks that extend across time and devices. The references below provide examples of techniques for identifying queries related to tasks, for predicting whether a task will be resumed, and looking at tasks over a longer time scale. References Alexander Kotov, Paul N. Bennett, Ryen W. White, Susan T. Dumais, and Jaime Teevan. Modeling and analysis of cross-session search tasks. In Proceedings of the 4th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’11, pages 5–14, New York, NY, USA, 2011. ACM. Debora Donato, Francesco Bonchi, Tom Chi, and Yoelle Maarek. Do you want to take notes? : identifying research missions in yahoo! search pad. In Proceedings of the 19th International Conference on World Wide Web, WWW ’10, pages 321–330, New York, NY, USA, 2010. ACM. Thinking broadly about what support for search tasks looks like. The references below provide examples from simple “answers” seen in web search engines, to apps for specific tasks, to richer environments for exploratory search. References Lydia B. Chilton and Jaime Teevan. Addressing people’s information needs directly in a web search result page. In Proceedings of the 20th International Conference on World Wide Web, WWW ’11, pages 27–36, New York, NY, USA, 2011. ACM. 50 ultimate travel apps … so far