Reviewerly/exHarmony huggingface dataset:
Key Recovery Attack on Rank Quasi-Cyclic Code-based Signature Scheme.

Rank Quasi-Cyclic Signature (RQCS) is a rank metric code-based signature scheme based on the Rank Quasi-Cyclic Syndrome Decoding (RQCSD) problem proposed by Song et al. in [2]. Their paper was accepted in the 22nd International Conference on Practice and Theory of Public Key Cryptography (PKC 2019). They have also shown that RQCS is EUF-CMA in the random oracle model. This short paper describes how to recover the secret key in RQCS with practical simulations. Our experimental results show that we are able to recover the secret key of RQCS in less than 41 seconds for all the proposed schemes at 128-bit, 192-bit and 256-bit security level.
PENGEMBANGAN LEMBAR KERJA SISWA (LKS) BAHASA INDONESIA KELAS VII DENGAN MODEL PEMBELAJARAN BERBASIS MASALAH

The research aimed to (1) describe the process of developing the Indonesian Student Workheet using Problem Based Learning Model, (2) show the quality of the Indonesian Student Work Sheet using Problem Based Learning Model, including: (a) the product quality of the Student Worksheet and (b) the using quality of the Student Worksheet. The type of the research was research and development using 4-D model, those are definition, design, development, and dissemination. The data collection used instrument of validation sheet from the expert, questionnaire sheet, observation sheet. The technique of data analysis divided into three, the technique of data analysis of student worksheet quality and the implementation of student work sheet using Problem Based Learning. The results showed that the development process consisted of two stages: (1) the analysis phase of the writer’s understanding about the Student Worksheet and it’s need, and (2) the design phase which produced the summaries of the materials in each basic competences. The product quality based on the expert gained the score in average of 72.48%, good, the using quality based on the questionnaires to the teacher and observation to the students gained the score in average of 75, 65, good.
A Mixed Model Based on Shape Context and Spark for Sketch Based Image Retrieval

Nowadays, information is not limited to textual representation but takes several other forms such as sketch-based image retrieval, where the user draws a query, and the system retrieves the most similar images. In this work we present a mixed approach combining shape context and Spark features, previously we had applied the Bag-of-Features strategy to select regions of interest, achieving significant improvement in effectiveness of the retrieval task. Our method works as a local strategy for key-points detection. Results are very auspicious, and we show different experiments conducted to demonstrate our proposed methodology. The highlight of this paper is the step-by-step description of the methodology to create a framework for sketch-based image retrieval.
Patreon and Twitter are right about freedom of speech

At a blockchain event i was at on Friday, someone made an offhand comment about how Patreon's editorial decisions meant that people no longer felt
Learning Action Representations for Reinforcement Learning

Most model-free reinforcement learning methods leverage state representations (embeddings) for generalization, but either ignore structure in the space of actions or assume the structure is provided a priori. We show how a policy can be decomposed into a component that acts in a low-dimensional space of action representations and a component that transforms these representations into actual actions. These representations improve generalization over large, finite action sets by allowing the agent to infer the outcomes of actions similar to actions already taken. We provide an algorithm to both learn and use action representations and provide conditions for its convergence. The efficacy of the proposed method is demonstrated on large-scale real-world problems.
سيميائية الخطاب الإشهاري بين التقاطع والتناظر

The present study deals with the matter of discourse in advertisement; the construction of which is, most often than not very controversial and incongruent. The study reveals the semantic interrelation between the signified; the advertised object and its signifier; that is the linguistic definition of the object and the congruence, yet incongruence of their relation. The outcome of this problematic is that the discourse, through which the object is defined, is the core element which gives and even creates a sense to the object’s presence. Since there is a mutual reflection between the palpable world and its abstract definition through linguistic symbols, the scientific and more precisely, the palpable object, merges and interrelates with its linguistic/literary definition, and these two components; mutually mirrored, rely much on the linguistic definition which tends to be an exaggerated representation than what the real object represents. Hence, there has been found out that there is a transition from the cultural to the natural by the creation of new signifiers which language in itself is responsible for their representation.
Signomial Geometric Programming (GP) Problem

Richard J. Duffin and Elmor L. Peterson introduced the term “signomial” in their original joint work general algebraic optimization, published in the late 1960s and early 1970s. An ongoing introductory exposition is optimization problems. In spite of the fact that nonlinear optimization problems with constraints and/or objectives defined by signomials are normally harder to unravel than those defined by posynomials (in light of the fact that not at all like posynomials, signomials are not ensured to be globally convex) but a signomial optimization problem, often give a substantially more accurate mathematical representation of present real-world, nonlinear optimization problems.
The Blockchain Antidote to Monopolization

Blockchain enables a new way of interacting with one another, directly, without the need for large corporations providing trust at the cost of high prices or privacy. Rather trust is delegated to protocols executed in code. Code however, is not easily understood and abstracts from trust. This is exacerbated by a lack of regulatory clarity and endorsement as well as a questionable reputation caused by skepticism over the legitimacy of the technology for mainstream use. Regulatory certainty can help alleviate these concerns and ensure competitive markets. It is incumbent on regulators to understand new dynamics of competition in a blockchain world — in the new ways market power can develop in the protocol layer of blockchain networks; in circular market dynamics and the dynamic impact of token signals; and in potential to collude via private blockchains.
MENINGKATKAN HASIL PEMBELAJARAN SBDP MELALUI MODEL PEMBELAJARAN KOOPERATIF TIPE STAD PADA SISWA KELAS I DI SD NEGERI 001 DESA BARU KECAMATAN SIAK HULU KABUPATEN KAMPAR

This research is a classroom action research conducted in SD Negeri 011 Desa Baru. The study applied the Cooperative type STAD learning model. The subjects of this study were students in the class I SD Negeri 011 Desa Baru. The results showed that the SBDP learning outcomes had increased. This is seen from the increase in the aspect of knowledge (cognitive) of 15.7% with the final value of class 85.2 and included in the excellent category. Then in the aspect of skills (psychomotor) an increase of 7.38% with a final grade average of 81.4 and included in the good category. Furthermore, in the aspect of attitude (effective), there was an increase of 11.04% with the average grade of the final class 80.4 and included in the good category.
Creating Nested Styles

If you spend any time writing CSS styles, I have no doubt that sooner or later, you will have come across instances where your code contains selectors or classes that go several levels deep. What do I mean by this? Well, let me explain.
Hierarchical structure for Modeling Human actions and Multi-Classifier Approach

Automatic action recognition is one of the challenging tasks in recent research. Complex human actions are composed of simpler motion patterns. This research relates to give a new direction for identifying human actions using hierarchical structure of motion patterns. The main contribution of our research is that we proposed hierarchical classifier based action recognition system. In past years, no analysis is done for recognition using different classifiers for each complex human actions with exploration of simpler motion patterns. We modeled our system by the fact that each human action originates from basic human movements. Human actions such as running and walking originate from legs movement and hand waving and hand clapping originate from hands movement. First different classifiers were used in our proposed single classifier hierarchical structure and then best performed classifier for each action is selected and applied in multi-classifier hierarchical structure. For classifier inputs, Spatio-Temporal Interest Points (STIP) are extracted using SIFT features from 50 consecutive frames of each action. Covariance of STIP features among action frames are used as feature vector for classification using KNN, SVM and Naive Bayes. Hierarchical structure is implemented using single classifier approach where each classifier is used separately at each level of hierarchy. Analysis is done and it is concluded that each classifier behavior and performance is different for each action. Best classifiers are selected and integrated in hierarchical structure using multi-classifier approach. Results show that multi-classifier approach in hierarchical structure has improved results as compared to single classifier approach.
Pelatihan karya tulis ilmiah dan publikasi bagi kelompok Guru SD di Kabupaten Pangkep

The purpose of this activity was to improve the knowledge of the teachers in writing scientific papers, to train elementary school teachers in publishing their scientific papers, to produce research proposals and articles that are ready for publication. This activity was carried out with training methods in the form of material lectures, the practice of compiling scientific papers, and compiling ready articles published in scientific journals. The results of the activity showed that 95% of participants understood the material presented based on the results of the worksheets that were filled in.
Changing Teaching Assistant's Behavior Based on Learning Support Strategies for Programming Exercise

In this research, we devised learning support strategies to change how teaching assistants (TAs) for basic university courses in information technology (IT) behave toward students during programming classes. Based on learning support strategies, we developed and evaluated a TA support system that presents student learning situations on mobile devices. In basic IT courses, a TA support system is often used to help and guide individual students. To help TAs using such support, a previous study visualizes the learning situation and offers advice. However, support in addition to presenting learning situations to the TA should include guidelines for interaction with the students. In order to provide adequate support to students, we propose learning support strategies for TAs. In practical computer science exercises, TAs mainly advise and answer questions from students. However, it is not clear how TAs could best support students. Therefore, we propose the following learning support three types of strategies: Hope, Priority, Motivation. Futhermore, we researched what learning support from the TA was desired by the students and developed a TA support system that presents learning support strategies. According to each learning support strategy, the classroom's map governs seat colors for each student who is the recipient of advice. The TA prioritizes helping the students presented by the learning support strategy as mapped by the seat charts. The system we developed was practiced in class, and as a result we found that even students who wanted to work on sophisticated content did not consider the teacher and TA unnecessary.
Is Less Really More? Why Reducing Code Reuse Gadget Counts via Software Debloating Doesn't Necessarily Lead to Better Security.

Nearly all modern software suffers from bloat that negatively impacts its performance and security. To combat this problem, several automated techniques have been proposed to debloat software. A key metric used in many of these works to demonstrate improved security is code reuse gadget count reduction. The use of this metric is based on the prevailing idea that reducing the number of gadgets available in a software package reduces its attack surface and makes mounting a gadget-based code reuse exploit such as return-oriented programming (ROP) more difficult for an attacker. In this paper, we challenge this idea and show through a variety of realistic debloating scenarios the flaws inherent to the gadget count reduction metric. Specifically, we demonstrate that software debloating can achieve high gadget count reduction rates, yet fail to limit an attacker's ability to construct an exploit. Worse yet, in some scenarios high gadget count reduction rates conceal instances in which software debloating makes security worse by introducing new, useful gadgets. To address these issues, we propose a set of four new metrics for measuring security improvements realized through software debloating that are quality-oriented rather than quantity-oriented. We show that these metrics can identify when debloating negatively impacts security and be efficiently calculated using our static binary analysis tool, the Gadget Set Analyzer. Finally, we demonstrate the utility of these metrics in two realistic case studies: iterative debloating and debloater evaluation.
Data Breaches: What do the Numbers Mean?

Another day, another data breach. But what are the trends? Here's a closer look at Risk Based Security's 2018 data breach report, along with some analysis, wider context and thoughts on what we can...
Online course: Budgeting in context

This online course will cover what a budget is and why they are used with a description of a typical budgeting process.
A Study of Isomap Extensions and Topological Data Analysis with Applications to Financial Data

This thesis focuses mainly on nonlinear dimensionality reduction. A comparison of a number of different extensions of the Isomap-algorithm found in the literature is presented as well as an introdu ...
GENERATION OF CR MAMMOGRAPHIC IMAGE FOR EVALUATION QUALITY PARAMETERS

Currently, among the diseases most feared by women, breast cancer ranks first in the world with an incidence of more than 1.6 million cases and a mortality of more than 521.9 thousand cases by year, which makes this disease the type of cancer with higher incidence and mortality compared to the other types of cancer that mainly affect the female gender, without considering non-melanoma skin cancer. In Brazil, more than 14.4 thousand deaths were registered in 2013 and more than 57 thousand new cases were estimated for 2016. The use of computerized radiography (CR) for the generation of mammographic digital images is widely used in Brazil for the screening of breast cancer. The aim of this investigation is to study the variation of CR plate response to exposure to X-ray beams in a mammography unit. Two CR plates from different manufacturers and a compressed breast phantom containing calcium carbonate structures of different sizes simulating calcifications were used for this study. An X-ray beam generated by 30 kV was selected to realize successive exposures of each plate by performing a time variation of 0.5 to 3.5 s, obtaining the raw images. The acquired images were evaluated with the ImageJ software to determine the saturation time of the plates when exposed to X-ray beams and the qualitative resolution of each plate. The plates were found to saturate at different times when exposed under the same conditions to X-ray beams. By means of the images acquired with the breast phantom, it was possible to observe only structures of calcium carbonate with sizes greater than 177 μm.
Perancangan model pembelajaran Project Base Learning (Outdoor) Karst Maros Prodi Pendidikan Geografi FMIPA UNM

The design of learning models that are trained with this mentoring model emphasizes more on reconstructing the mindset. Therefore, in the construction of the knowledge embedded that the Project Based Learning model (out-door) contains the principle of the ability to plan projects and work with the working principles of scientists. It is realized that the goal is hard to be attained. Besides, based on the character of the SM3T PPG participants, it is known that there are differences of the tertiary institutions origin and different academic climates among those institutions. Moreover, there are differences in practical experience in the field. Training and constructing knowledge through many practices will foster a level of employability. The 2013 curriculum that has not been truly understood of every prospective teacher and even the teacher demands to continue to be trained. For this reason, an intensive mentoring model was chosen because it was considered more effective. To achieve these objectives, these activities were chosen: 1) FGD to determine learning objectives and location of objects; 2) FGD of the possibility to find concepts in the field; 3) Field and object orientation; 4) Discussion in the field on object findings; 5) Discussion in the field on details of object findings; 6) FGD of findings on the phenomenon of concepts and field findings. The results in the Learning Implementation Planning of the Project Based Learning model (out-door) included: 1) Determination of initial location based on indicators and learning objectives; 2) Estimation of concepts that can be obtained at the learning location; 3) Classification and understanding of the ginesa process of landform and its object; 4) Deepening of the object of ginesa as detailed as possible.
Privacy-Preserving Action Recognition using Coded Aperture Videos.

The risk of unauthorized remote access of streaming video from networked cameras underlines the need for stronger privacy safeguards. We propose a lens-free coded aperture camera system for human action recognition that is privacy-preserving. While coded aperture systems exist, we believe ours is the first system designed for action recognition without the need for image restoration as an intermediate step. Action recognition is done using a deep network that takes in as input, non-invertible motion features between pairs of frames computed using phase correlation and log-polar transformation. Phase correlation encodes translation while the log polar transformation encodes in-plane rotation and scaling. We show that the translation features are independent of the coded aperture design, as long as its spectral response within the bandwidth has no zeros. Stacking motion features computed on frames at multiple different strides in the video can improve accuracy. Preliminary results on simulated data based on a subset of the UCF and NTU datasets are promising. We also describe our prototype lens-free coded aperture camera system, and results for real captured videos are mixed.
Edge Replacement Grammars: A Formal Language Approach for Generating Graphs

Graphs are increasingly becoming ubiquitous as models for structured data. A generative model that closely mimics the structural properties of a given set of graphs has utility in a variety of domains. Much of the existing work require that a large number of parameters, in fact exponential in size of the graphs, be estimated from the data. We take a slightly different approach to this problem, leveraging the extensive prior work in the formal graph grammar literature. In this paper, we propose a graph generation model based on Probabilistic Edge Replacement Grammars (PERGs). We propose a variant of PERG called Restricted PERG (RPERG), which is analogous to PCFGs in string grammar literature. With this restriction, we are able to derive a learning algorithm for estimating the parameters of the grammar from graph data. We empirically demonstrate on real life datasets that RPERGs outperform existing methods for graph generation. We improve on the performance of the state-of-the-art Hyperedge Replacement Grammar based graph generative model. Despite being a context free grammar, the proposed model is able to capture many of the structural properties of real networks, such as degree distributions, power law and spectral characteristics.
Library Guides: Genetics, Developmental Biology, and Evolutionary Biology: Research Tips

Resources for Penn State students and faculty in genetics, developmental biology, and evolutionary biology.
A Cloud Fuzzy Logic Framework for Oral Disease Risk Assessment

This paper presents a fuzzy logic framework for dental caries and erosion risk assessment. Two interdependent modules are implemented within a cloud architecture. The first module is a fuzzy expert system designed for physicians and expert users, able to provide an active support in formulating risk judgements. The second module is oriented to generic users for oral health promotion. Conceptual ingredients of the fuzzy logic framework are principally defined by eliciting knowledge from a group of experts. The generation of rules involves both structured interviews and data driven learning procedures based on the use of neuro-fuzzy techniques.
The University at the time of post-truth. Contribution to research on the basis of the book of P. Kiprianos “The magic of the Diploma: Universities, Graduates, Social Orbits (1837-2015) (full text in Greek)

Τ he aim of this paper  is to provide a space to consider the recent research on post truth communication, especially related to research in Higher Education. More concretely, the study focuses on the work of P.Kiprianos on the perception of degrees throughout Greek history and the role of graduates in the making of modern Greece. Under this framework we concentrate on the ‘elective affinity’ between public post-truth narrations and post modernity, as a consequence of the breakdown of the twentieth century mass media order and the consolidation of disaggregated mediated spheres. According to the theoretical frameworks of Max Weber and Jurgen Habermas the upsurge of post-truth argumentation represented by Social Media can only be  overcome by the collective effort to produce agreed-upon facts and reach consensus on the correspondence between assertions and reality. In conclusion, the fundamental position of this study is that the shift towards the post-truth public sphere ultimately concerns the political definition of the social subject itself and the democratic composition of its action. In this context, trust and truth become constitutive reasons for action that is implied by the social biopolitics as a process of normalizing the phenomenon of social exclusion (Neets) and not as a process of withdrawing it. Under this assumption, placing the University at the core of action for (lifelong?) growth and social cohesion, implies an answer to the social and, by extension, to the political importance of the University in the public sphere.
fourtonfish if you can tell why grid ...

@fourtonfish if you can tell why grid area gets collapsed let me know. think it's way page i being built by t node.js app, like
Sharing books…: Bear and Hare: Mine!

Nursery WorldVol. 2019, No. 4 EYFS ActivitiesSharing books…: Bear and Hare: Mine!Emily GravettEmily GravettSearch for more papers by this authorEmily GravettPublished Online:26 Feb 2019https://doi.org/10.12968/nuwa.2019.4.21AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 18 February 2019Volume 2019Issue 4ISSN (print): 0029-6422ISSN (online): 2059-9358 Metrics History Published online 26 February 2019 Published in print 18 February 2019 Information© MA Education LimitedPDF download