Reviewerly/exHarmony huggingface dataset:
Creative Subversion in the 'CHI-verse': Fourth-Wave HCI Meets the 21st Century Manifesto

We take up Bodker’s challenge to ‘identify’ a fourth wave HCI, building on the work of Blevis et al. and others to shore up a new vision that places ‘politics and values and ethics’ at the forefront without abandoning the strengths of previous waves. We insist that a fourth wave must push harder, beyond measured criticism for actual (e.g. institutional) change. We present two studies performed at CHI’19, where we used our MANIFESTO! game to: 1) take the temperature of colleagues on adopting an activist stance, 2) test manifesto writing as a key activity in pushing HCI forward into the fourth wave, and 3) test our game for subsequent iterations, and as a probe for inspiring new digital tools. With the enthusiastic response received to gameplay, facilitated in part through a novel method using tableau vivant, we argue for taking political activism from the margins into mainstream HCI.
Spatial schemata determine cortical representations of the environment

For understanding complex natural environments, the brain must efficiently extract information from a rich, ongoing stream of sensory input. Here we characterize how spatial schemata (i.e., our knowledge about the structure of the world) help the visual system to make sense of these inputs. Specifically, we elucidate how schemata contribute to rapidly emerging perceptual representations of the environment. In separate EEG and fMRI experiments, we showed participants fragments of natural scene images, presented at central fixation, while they performed an orthogonal categorization task. Using multivariate analyses, we then investigated where and when neural representations of these fragments were explained by their position within the scene. We observed a sorting of incoming information according to its place in the schema in scene-selective occipital cortex and within the first 200ms of vision. This neural sorting operates flexibly across visual features (as measured by a deep neural network model) and different types of environments (indoor and outdoor scenes). This flexibility highlights the mechanism’s ability to efficiently organize incoming information under dynamic real-world conditions. The resulting organization allows for rapid inferences about the current scene context and its behavioral affordances and can thereby support efficient real-life behaviors.
The Library: Online Meetings & Collaboration: Skype for Business

Skype for Business can be used by Leeds Beckett University students to collaborate with colleagues across the university. Check out this page from the Library and Student IT support team to get started.
Differentially private geospatial data publication based on grid clustering

Collecting geospatial data from location-based services can provide location evidence while analysing spatial information. However, releasing location data may result in the disclosure of sensitive personal information. The adaptive grid method (AG) uses differential privacy to protect information. In AG, the algorithm uses two levels of grids over data domain. However, it does not take into account the data distribution. Usually, the accuracy will be reduced in response to long-range counting queries. In this paper, the adjacent grid cells with similar data density are clustered together. Laplace noise is added to the clusters created by the clustering of the grid cells. The noisy count obtained from the grid cells that form each cluster is evenly redistributed to the grid cells in the cluster. Extensive experiments on real-world datasets showed that the query accuracy of the proposed method is higher than the existing methods.
JobNoW'19 - 1st International Workshop on Job Knowledge Discovery on the Web &amp; Social Media

To gain insights into labor demands or supply, researchers and policymakers have traditionally relied on interviews, trade publications, surveys, and vacancies. Although such traditional data sources have some clear advantages, they are also characterized by limitations that can be addressed by using web-based data available in abundance.
DOUBLE AUDIO STEGANOGRAPHY USING LEAST SIGNIFICANT BIT WITH DES CRYPTOGRAPHY

Abstract Steganography is the practice of concealing a file, message, image, or video within another file, message,image, or video. The word steganography com- bines the Greek words steganos, meaning ”covered, concealed, or protected,” and graphein meaning ”writing. As for these days, we would like to keep some files securely so it will not be altered, or removed by someone irresponsible. In this thesis, we proposed a method for Audio steganography using Data Encryption Standard (DES) and embedded to not just one but two hosts using Least Significant Bit (LSB) algorithm thats why its called Double Audio Steganography. The main objectives of this thesis is to hide audio steganography information inside another audio without people being suspicious and we can do it more safely and more securely. Also, this thesis resulted an audio greater than 20 dB, which is a standard distorted file and successfully embed and extract the secret message completely with anoise of 100 dB or higher and without noise attacking the audio. Keywords: Concealing a file, DES algorithm, Double Audio Steganography, LSB Method.
The Effect of Hypnotic writing toward students writing descriptive text. (Quasy Experimental research at the Second Grade of SMP Islam Ar-rochmah Cilegon).

This research investigates the effect of Hypnotic Writing method . It focuses in the title of research: “The Effect of Hypnotic writing toward students writing descriptive text”. The research are conducted base on the main problem 1) how is the students’ of writing descriptive text? 2) How is the effect of Hypnotic Writing toward student’s writing descriptive text ?. According to the research problem above, the objectives of this research are: 1) To know students’ of writing descriptive text 2) To know the effect of Hypnotic Writing toward students writing descriptive text (An Experimental Research at the Second Grade of SMP Islam ar-rochmah Cilegon-Banten). The method used in this paper was quantitative method the quasy experimental research design which uses test as follow: pre-test, post-test, and observation. In this research the writer took 70 students for sample which are 35 students VIII A as experimental class and 35 students VIII B as controlled class. The result of the research states that Ho is rejected and Ha is accepted. The use of hypnotic writing is better than those who do not use hypnotic writing technique. By df = 68 and analyzed by using t-test, the research stated that there is effectiveness of using hypnotic writing toward students writing descriptive text, because t_observation is bigger than t_table. Than t_table in 5% and 1% the t_table with significant level 5% is 1,99 and significant level 1% is 2,65 where as t_observation is 8,15. so it means that t_observation is 8,15 > t_table (1,99) in 5%, and t_observation (8,15) > t_table (2,65) in 1%. It means that both variables have the significant correlation. In other word, use hypnotic writing toward students writing descriptive text is absolutely effective. This research find out wether hypnotic writing can be an alternative to develop students writing descriptive text in the second Grade of SMP Islam Ar-rochmah Cilegon
LibGuides: Grade 9: Expressions of First Nations, Métis, and Inuit Cultures (NAC10): Creating and Presenting

Resources to help support the course work and learning of NAC10, Expressions of First Nations, Metis, and Inuit Cultures. Taking a look at the Creative Process; Elements and Principals; Materials, Tools, Techniques and Technologies; and Presentation and Promotion
Real-time Sorting of Stacked Objects Using Depth Information

Aiming at real-time sorting of stacked objects, a series of algorithms are proposed, including plane segmentation and template matching with low computational load and high speed, using only depth information. Contour recognition and planar clustering are used to segment different objects. Then the U-Chord Height (UCH) template matching method is designed to realize accurate classification of objects. Thus robust and real-time sorting of stacked objects can be achieved.
Refining the Understanding of the Technosphere as Part of the Noosphere (Based on the Material of the Soviet and Russian Philosophical Discussions)

The article proposes the version of philosophical reflection on technology, within which the technosphere is considered as a necessary component of the noosphere.This, in turn, confronts us with the problem of interpreting the latter.Critically analyzing those versions of such an interpretation that were called "occult" and "exceptionally spatial", we show that it is impossible to constructively consider the prospects for the development of the technosphere within their framework.Accordingly, we are explicating the advantage of that understanding of the noosphere (as a new stage in the evolution of the biosphere, when the Mind of mankind is "at the helm"), which "ripened" in "Russian cosmism" and was scientifically designed by V. I. Vernadsky: in this framework, technology is becoming much more important than just being a means of enhancing human comfort.
Quasi-online accounting and monitoring system for distributed clouds

The HEP group at the University of Victoria operates a distributed cloud computing system for the ATLAS and Belle II experiments. The system uses private and commercial clouds in North America and Europe that run OpenStack, Open Nebula or commercial cloud software. It is critical that we record accounting information to give credit to cloud owners and to verify our use of commercial resources. We want to record the number of CPU-hours of the virtual machine. We continuously collect the CPU usage and an estimate of the HEPSpec06 units of the VM obtained during the boot of the VM and uploads it into an Elastic Search database. The information is processed and published as soon as it is available. The data is published in tables and plots in Kibana and as a cross check in ROOT. We have found the system to be useful beyond gathering accounting information and can be used for monitoring and diagnostic purposes. For example, we can use it to detect if the payload jobs are stuck in a waiting state for external information. We will report on the design and performance of the system, and show how it provides important accounting and monitoring information on a large distributed system.
iMap4D: an Open Source Toolbox for Statistical Fixation Mapping of Eye-Tracking Data in Virtual Reality

In the current days, virtual reality (VR) has become a widespread, easily accessible technology. The intrinsic advantage of generating experiments in fully controlled, realistic and engaging scenarios opens up endless possibilities in modern eye-movement research and in visual sciences. However, the readiness of this technology clashes with the unavailability of any user-friendly tool to analyze the highly multidimensional VR eye-movement data. In our previous work with iMap4 (Lao et al., 2017), we provided the possibility to turn 2D sparse fixation data (x, y eye-movement coordinates weighted by the fixation duration) in continuous statistical maps, and isolate significant differences between groups and conditions with linear mixed modeling. Here, we developed iMap4D, which allows to perform the same robust data-driven statistical evaluation as iMap4, while also handling two further VR dimensions (the z-coordinate and time), with smooth pursuits on moving objects also included in the map. To estimate average individual fixation maps on the model mesh, for every condition we perform a space convolution between the sparse fixation points and a 3D Gaussian kernel. The size of the kernel is scaled to account for objects’ apparent size due to their position in the 3D space. We then consider the continuous hypersur-face resulting from the statistical fixation intensity on each vertices of the mesh. Similar to iMap4, we apply for each vertex a univariate linear mixed model with subject as a random effect. All the possible linear contrasts can be performed, which statistical significance can be assessed by a spatial cluster test based on bootstrapping. To the best of our knowledge, iMap4D is the first free MATLAB open source toolbox for the statistical fixation mapping of 4D eye-movement data, and we believe that this toolbox could pave the way in boosting the number of vision science studies exploiting the ground-breaking VR technologies.
Relación entre comprensión lectora y flexibilidad cognitiva en estudiantes de una universidad pública

espanolEl objetivo de la siguiente investigacion fue establecer la relacion entre comprension lectora y flexibilidad cognitiva en estudiantes universitarios matriculados entre primer y cuarto semestre academico, para lo cual se utilizaron dos instrumentos, la prueba de comprension de lectura PISA para evaluar el nivel de competencias lectoras que presentan los estudiantes y el Test de Clasificacion de Cartas de Wisconsin (WCST) para medir la flexibilidad cognitiva de los mismos. Mediante analisis descriptivo y correlacion bivariada de Pearsonse encontro que con respecto a los componentes de la comprension lectora evaluados se obtuvieron puntajes superiores a la media teorica. En flexibilidad cognitiva la mayor proporcion de los estudiantes se ubican dentro de lo esperado para la prueba, sin embargo, es significativo el porcentaje de estudiantes que demostraron grados de perseveracion severos y moderados. Se concluye que no hay relaciones estadisticamente significativas entre comprension lectora y flexibilidad cognitiva. EnglishThe objective of this research was to establish the relationship between reading comprehension and cognitive flexibility in university students enrolled between the first and fourth academic semester, for which two instruments were used, the PISA reading comprehension test to assess the level of reading skills present the students and the Wisconsin Card Classification Test (WCST) to measure their cognitive flexibility. By means of descriptive analysis and bivariate correlation of Pearson, it was found that with respect to the components of reading comprehension evaluated, scores higher than the theoretical average were obtained. In cognitive flexibility, the highest proportion of students are within the expected range for the test, however, the percentage of students who demonstrated severe and moderate perseveration grades is significant. It is concluded that there are no statistically significant relationships between reading comprehension and cognitive flexibility.
Ultrafast object detection in naturalistic vision relies on ultrafast distractor suppression

People are quick to detect examples of real-world object categories in natural scenes, with evidence of target presence emerging in frontal event-related potentials (ERPs) as early as 150 ms after stimulus onset. This is far faster than predicted by classical attention theories, which suggest that naturalistic search should require the serial deployment of attention so that features characterizing objects can be bound together. Two proposals have been offered to solve this puzzle. One is that repeated experience might render the visual system sensitive to combinations of low-level features so that their combined presence can be detected without the need for spatial attention (eg. Evans & Treisman, 2006). This predicts that evidence of target detection might emerge in non-visual brain areas even before spatially-localized, attention-related mechanisms act on visual representations. The alternative is that naturalistic search relies on spatial mechanisms, but that global scene information constrains the search space and reduces the number of objects that need be resolved (eg. Wolfe et al., 2011). This predicts that spatially-localized object processing should be required for target detection, but that this may occur very quickly. Here we use ERPs to differentiate between these possibilities. In Experiment 1 we find that discrimination of a naturalistic target generates an early ERP effect associated with the suppression of salient distractors. In Experiment 2 we show that this early distractor positivity (Pd) is larger when participants must confirm that the scene does not contain a target. Critically, sensitivity to target presence in this spatial mechanism emerges 39 ms before evidence of target presence appears in frontal ERPs. Naturalistic search for heterogenous targets therefore appears to rely on spatial mechanisms, as predicted by classic attention theory, but these mechanisms act very quickly. This is consistent with the idea that global scene characteristics constrain the search space.
Deadline-credit aware heuristic for dynamic resource provisioning in virtualised cloud environment

Cloud computing as a paradigm has led to its adoption in large-scale parallel processing and distributed computing. Resource selection places momentous challenges before consumers and service providers. As a remedy brokers stipulates resource provisioning options to match the submitted requests by facilitating a standardised management interface across global boundaries. Keeping in consideration, a DSufferage algorithm is proposed and implemented at platform level which is an improvisation in the existing sufferage heuristic. Deadline parameter has been inculcated to assign precedence levels to the jobs to be submitted to the machines. The novelty of the current research study is that the heuristic is centred towards both user and providers goals. The efficacy of the algorithm has been verified using CloudSim tool and is concluded that it is proficient enough to allocate resources to users tasks with in constraints of deadline, resource utilisation maximisation and SLA violation avoidance.
Meningkatkan Literasi Melalui Bahan Ajar Tematik Saintifik Berbasis Kearifan Lokal

The literacy movement is being carried out by the government nationally in various circles ranging from families, schools and communities. It is also entitled to be felt by all people including street children. For street children literacy culture also needs to be grown because their literacy is still low. This effort was carried out by increasing literacy in "Lotus" street children in the Social Barracks of Demaan Village, Kudus Regency, Central Java. Lack of interest in learning because teaching materials in schools are not easy for them to digest, making them less desirable and a burden on them. Teaching materials that are made thematically presented in the form of reading about local wisdom around them are expected to improve their literacy culture. The PKM is carried out by mentoring educational programs in the form of tutoring and training in improving literacy. In mentoring using teaching materials that have been developed by applying several methods. Like learning methods based on study groups according to age with approaches such as scientific, thematic, tutorial, drill and lecture. while the implementation of literacy training delivered good reading and writing methods. From this PKM activity, it was found that the level of enthusiasm of attendance was very high %80%, literacy ability had experienced an increase of&gt; 10% with a significant.
Core Solution Computing Algorithm of Web Data Exchange

Traditional Web data exchange research usually focuses on designing transformation rules but ignores the processing of the actual generated target data instances. Since the data instance is highly correlated with the schema and there are many duplicate elements in the source data instance, there is redundancy in the actual generated target data instance. In order to generate a target data instance solution that does not contain redundancy, under a given source-to-target exchange rule, a unified integration schema is designed firstly, and then, the instance block mechanism is introduced to analyze three mapping relationships of single homomorphism, full homomorphism and the isomorphism among the initial generated target data instances. According to the mapping relationship, three methods of instance selection, which are more compact, more informative and equivalence class processing, are proposed to remove redundant data instance in target data set and generate the core solution of target data instance. The experiment uses the data from the China Land Market Network to evaluate the performance of the data exchange core solution algorithm.
Infographics in Regional Online Media (On the Materials of the Internet Media of the Siberian Federal District): Quantitative Aspect

Purpose. This article reflects the program and the main research questions to describe the place of infographics on the media sites of the biggest Siberian cities. On the first stage of the research there were generated the solid sample of the infographics produced by six online media of Novosibirsk, five – of Krasnoyarsk and five – of Omsk. Results. The empirical base shows, chronologically, how the format is penetrated and developed the editorial boards of these media, given the number published on these website infographic in different years, revealed the media who regularly use this format, and media who do it rather rare. It is shown that this format is used by regional media quite selectively, only a few media creates more than a fifteen infographics per year. Nevertheless, the total number of infographics that could be found and included in the empirical base is quite large: more than five hundred infographics. They presents as standalone products in the sections allocated specifically for them, so the form of illustrations for reviews, articles and notes. Conclusions. They presents as standalone products in the sections allocated specifically for them, so the form of illustrations for reviews, articles and notes. At the second stage of the study, the method of content analysis will be applied to the formed empirical base, we also plan to analyze the auditoria indicators of the relevant projects, interview experts in the editorial offices to find out peculiarities of the production process.
B-cell and T-cell Leukemia Classification using Genetic Algorithm, PCA, SVM and ANN

Microarray technology can be used for learning number of genes expressions at one time.In recent years, DNA microarray method has a large influence in deciding the informative genes which originates cancer.The important step is the extraction of relevant genes in analyzing microarray cancer data.In this paper, microarray classification is done in two phases.In the first phase, a hybrid approach of principle component analysis is and genetic algorithm is applied on leukemia microarray dataset for extracting relevant features.Feed forward back propagation neural network is used and support vector machine for the classification purpose in the second phase and finally their results are compared.