Reviewerly/exHarmony huggingface dataset:
Temporal recurrences for video saliency prediction

This paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal domain. The first modification is the addition of a ConvLSTM within the architecture, while the second is a conceptually simple exponential moving average of an internal convolutional state. We use weights pre-trained on the SALICON dataset and fine-tune our model on DHF1K. Our results show that both modifications achieve state-of-the-art results and produce similar saliency maps.
Introduction and Biostratigraphy of the the Middle Tethys Ocean Calcareous Nannofossils in the Upper Cretaceous in Central Iran

Introduction and Biostratigraphy of the the Middle Tethys Ocean Calcareous Nannofossils in the Upper Cretaceous in Central Iran
Don’t believe the hype? Recent 3D printing developments for law and society

This chapter is intended as a follow-up to my monograph, Socio-Legal Aspects of the 3D Printing Revolution, published in mid-2016. 1 Much of the research and writing for that work had been completed by late 2015 and so I was unable to take account of certain developments subsequent to that time, which, I submit, strengthen the main argument made in the book: that while 3D printing technically speaking is revolutionary, and in theory also disruptive to both the design and enforcement of law, 3D printing in practice seems not to be fulfilling this potential so far due to the actors involved in 3D printing and the limited take-up of the technology by average consumers.First, this chapter will begin with a description of what a political economy of law method is and why it is appropriate for the study of technologies such as 3D printing.
Content and analysis of professional development courses for teachers of higher education institutions

The article considered the problem of professional creativity of pedagogical staff of Higher Education institutions. Despite of these author analyzed system of professional development courses for teachers of higher education institutions
MobileSR: Efficient Convolutional Neural Network for Super-resolution

The existing deep CNN models on single image super-resolution processing are computationally-intensive in terms of memory usage and training time. In resources-limited platforms, it is desirable to consider developing light-weight models for super-resolution tasks. This paper proposes a parallel-group convolution, which uses 25% computation of the standard convolutions. With parallel-group convolutions, we develop an efficient light-weight convolutional neural network named MobileSR for super-resolution. Experimental results show that our proposed method achieves appreciable improvements over the state-of-the-art models with approximately 75% size reduction. The source code is available at https://github.com/DestinyK/MobileSR.
Ways, Forms and Methods of Introducing Media Education in the Educational Process

In April 2016, the Presidium of the National Academy of Pedagogical Sciences of Ukraine approved a new version of the Concept for the introduction of media education in Ukraine. The purpose of the Concept is to create a system of media education, which should become the foundation of humanitarian security, development and consolidation of civil society, combating external information aggression, comprehensively prepare children and youth for safe and effective interaction with the modern media system, form media literacy and media to their age, individual and other features. The article, based on the analysis of domestic and foreign scientific sources, systematizes theoretical and practical developments of domestic and foreign scientists on the most effective ways, forms and methods of media education. It is established that there are three common ways of introducing media education in the educational process: integrated (through traditional subjects); optional (creation of a network of circles, sections, clubs); special (creation of special courses and special courses). One of the forms of integration of media education is the introduction of media courses. Popular are the creation of television or cinematic mini-scripts, class lectures, role-playing games on the material of various media. It was found that the organization of media centers, media clubs, film clubs and photo laboratories can be considered innovative forms of media literacy. The classifications of media education methods by L. Zaznobina, M. Matviychuk, L. Masterman, S. Penzin, O. Fedorov are considered. It is established that one of the most effective methods of media education researchers consider interactive: trainings, moderations, program training, case method (analysis of practical situations), business and role-playing games, discussions, creative problem solving method, project method. The choice of such methods is due to the possibility of their integration into individual disciplines. They provide an opportunity to intensify the process of understanding, learning and creative application of knowledge and help increase the motivation and involvement of participants in the process of joint problem solving, creative search.
Embedding Augmented Reality Technology In The Educational Learning System

&#x0D; &#x0D; Augmented Reality (AR) technology has effective potential that enhances and replaces the old way of learning into a new digitized smart learning environment by converting the school books into a virtual 3D environment, which helps students extracting and absorbing complex concepts in less amount of time. AR is a computer vision-based technology that works by tracking the surrounding using a smartphone camera and then superimposing virtual 3D objects into the real world. The capabilities of AR make classes more engaging, collaborative, and interactive. Studying may not be every student's cup of tea but with the help of a smart learning environment; school lessons can be much more interesting, interactive, and fun to learn. This article aims to brief insight that the interactive AR chemistry application may lead the students to grasp difficult concepts of chemistry more easily entertainingly and engagingly.&#x0D; &#x0D; &#x0D; &#x0D; &#x0D;
NONLINEAR MATHEMATICAL MODEL OF PEDAGOGICAL SYSTEM FUNCTIONING

The purpose of this article is to study the crisis in pedagogical systems from the point of view of an internal observer. The aim of the work is to build and investigate a mathematical model describing the course of crises in pedagogical systems. When building the model, a synergetic methodology, system and process approaches are used. For the mathematical analysis of various social phenomena, systems of differential equations are used to investigate the dynamics of the process. The paper considers a system of nonlinear differential equations in three-dimensional space that describes the functioning of the pedagogical system during the crisis. Numerical and topological methods of nonlinear dynamics, the method of Lyapunov characteristic exponents and the theory of strange attractors by Lorentz were used to study it. Numerical modeling of system solutions for various sets of control parameters (system coefficients) makes it possible to determine the region of stability (asymptotic stability), limit cycles, bifurcation points, and describe possible trajectories of development of the pedagogical system. Mathematical modeling deepens the knowledge about the essence of crises, the peculiarities of their course, makes it possible to study qualitative and numerical modeling, and also allows predicting possible effective measures to combat crisis phenomena and develop new approaches in the management of pedagogical systems.
Semantic reconstruction based on RGB image and sparse depth

With the increasing popularity of applications such as unmanned driving, the ability of environment perception has become more and more important, and the most common expression of environment perception is semantic reconstruction. Therefore, more and more researchers are trying to synthesize the information from multiple sensors to achieve better semantic reconstruction effects. However, most of the current estimation methods (a). Too bulky to run in real-time (b). Failure to effectively use the information of a variety of different sensors (c). Failure to generate sufficient environmental perception information under limited computing power, such as semantic information and depth information. Therefore, this paper proposes a multi-modal joint estimation network for semantic reconstruction, which can solve the above problems. Our method takes RGB image and sparse depth as input. By adding multi-scale information to the neural network, it outputs semantic segmentation and depth recovery results simultaneously while maintaining light-weighted and real-time performance, then fuses both results in point clouds to get better environment perception ability. A large number of experiments show that our method has better performance than other methods in the same application scenario.
Deductive Ergatic Design of Constructive Tasks Solutions

The deductive approach to the synthesis of solutions of constructive problems with respect to ergatic systems is considered.At the same time, both the principles of deductive synthesis of solutions for ergatic systems and the processes of implementing this deductive synthesis, realized by the systems themselves, are considered.
Implementation Of Solar Cell Based Smart Chair As A Green Open Space Electric Energy Source

This research aims to propose new solutions for alternative sources of electrical energy in open spaces. We validated this solution by implementing a solar cell in a park bench object. Furthermore, analyzing the statistical data by taking the average value of; current, voltage, and power generated by the smart bench object. The experimental results show that the proposed solution has the same performance as conventional lighting. Electric park benches can operate longer using a solar cell with an output power of 26.76 Watt-peak hours. With the large potential of solar power, solar cells' application in an open environment is very suitable. With this electric bench, it is still energy efficient and green energy
Multiclass Classification with Imbalanced Class and Missing Data

In any data mining field, the presence of a good shaped data is needed. Yet in the reality, the data condition is far from the expectation as there are possible to have missing values, redundant data, and inconsistent data. There are problems with the dataset to begin with before we overcome the problem of data mining process interpretation. In the raw data level, possible problem such as missing values and data redundancy or inconsistency can be solved by some certain process called preprocessing. On the preprocessing step, the raw dataset is adjusted to the needs of the whole process, one of the adjustments is to handle missing values. Missing values is a certain condition where the expected values of the data are not recorded. The other problems that happen in the real-world dataset especially in categorical data with label or class is the imbalance distribution of the instance for each class. The imbalanced class is a condition where the distribution of the class is skewed or biased. This study emphasizing on the problem solving of missing values and imbalanced class on the dataset. K-NN imputation is a missing value handling method of this study. As for the imbalanced class problem, this study utilizes SMOTE and ADASYN for the comparison. While the dataset will further be tested by various classification methods such as Decision tree, Random Forest, and Stacking. The original dataset produced bad score from the classification process due to the imbalanced data. Then the data undergoing an oversampling process using SMOTE and ADASYN methods in hope that the accuracy will be hugely better. Yet the reality is the accuracy score do not move to the expected number at all with only averaging in 32%-37% of accuracy score in any scheme of process.
U-INDEX: Unified Index for Measuring Quality of Scientific Research Output

Many indexes concerned with measuring the quality of the scientific scholars’ output have appeared with the beginning of the internet due to several reasons such as: the diversity of the internet applications (or web applications), the increase in the digital publishing of open access sources, and the multiplicity of websites. These indexes take the network measurements as an application hub. This study, tries to diagnose the strength and weakness points of the approved indexes. It also suggests new index that combines all the traditional indexes’ characteristics and overcomes their weakness points. This unified index is used to evaluate the scientific outcomes of scientists and scholars. After applying and comparing the unified index, the researcher concluded that the value of the new index was more accurate and objective than the values of other traditional indexes. Moreover, the possibility to overcome some negatives points of the other indexes was shown, as well.
Application of the Law of Self-determination in a Postcolonial Context: A Guideline

The development of the law of self-determination has been stagnant in terms of scope and content in its application in the postcolonial context. It requires a new paradigm to persuade the United Nations, its specialized agencies and affiliated organizations to address current phenomenon regarding normative, institutional and community awareness. This research has revealed that the essential meaning of self-determination is a remedial means for an oppressed person both in colonial and postcolonial context. While the colonial context has ended, postcolonial self-determination remains focussed on both repairing the historical wrongs of the colonial context, responding to the breakdown of a state, and recovering from persistent violations against anyone in the State. Accordingly, this paper will contribute to the development of guidelines for these applications: which primarily refer to some degree of internal self-determination (autonomy); and when this proves unsuccessful, external self-determination (independent) can be proposed as the last resort.
Weighted determination algoritm of boundary pixels

While working with digital noise reduction techniques, which are based on theory of convolution matrix and used convolution operation, it necessary to use algorithms to bypass boundary pixels in the image pixel matrix. The problem exists because convolution itself algorithm have peculiarity, it mean that peculiarity convolution kernel used to each element of pixel matrix. That feature characterize a lot of classes of methods which used idea of convolution matrix. There are a lot of primitive ways to solve it, but none of these ways made a consensus between economical use of resources and filling border pixels with colour coding, which is not so far from colours of corresponding pixels. The object of research is pixel matrix of image. The subject of study is algorithms for filling boundary pixels when superimposing a convolution matrix on a pixel matrix of an image. The main target is creating of effective filled algorithm for border pixels which are close to code colour to relation pixels for used in convolution matrix. Filled border pixels will use to operation convolution for each pixels original image. Algorithm of filled border pixels by step of applied convolution kernel anchors to the pixel, when pixel accessing in convolution algorithm goes beyond the pixel matrix of the original image. Algorithm takes into account the «special» cases of overstepping and allows to do fast calculation to determine the colour code of the missing pixel. The algorithm is simple to program and easily integrates with the basic convolution matrix algorithm in digital image defects.
Teaching material development of essay writing subject

This research belongs to research and development (R&amp;D) type. The aim is to develop an essay writing teaching material for the third-semester students of the English Education Department. Essay writing is one of the compulsory subjects for the third-semester students of STKIP Muhammadiyah Kotabumi. Through an essay, students can express their ideas and thoughts. Meanwhile, good writing skills can help them to provide information more clearly to the readers. The method used in the research consists of ten steps, but the researcher limited it to seven. Those are preliminary study, data collecting, teaching material design, teaching material validation, teaching material revision, teaching material testing, and revising the teaching material product. The compiled teaching material consists of seven units. The materials refer to the course outline for the third semester of the English Education Department. The teaching material has been validated by two experts, as well as one expert for the design and one for the media. Three experts stated that the materials are in the very good category. From the trial conducted through an essay-writing test and questionnaire, it can be concluded that the teaching materials are effective to be used as the material for the subject Essay Writing. It is evident in the mean score of the 3A group, which is 74.4. Meanwhile, the questionnaire results show that three aspects of the teaching materials are in the very good category.
Exploring Visualisations for Financial Statements in Virtual Reality

Recent developments in Virtual Reality (VR) provide vast opportunities for data visualization. Individuals must be motivated to understand the data presented concerning their personal financial statements, as with better understanding comes more efficient money management and a healthier future-minded focus on planning for their personal finances. This paper aims to investigate how a 3D in VR visualization scenario influences an immersed users' capability to understand and engage with personal financial statement data in comparison to a scenario where a user would be interacting with 2D personal financial statement data on paper. This was achieved by creating a 2D paper prototype data and utilizing the benefits of 3D in a VR prototype visualization. Both prototypes consisted of chart representations of personal financial statement data, which were tested in a user study. Also, participants (N=23) were given a set of tasks (such as ”Find the quarter in which the least amount of expenses was spent”) to solve by using 2D or 3D financial statements. Results show that participants reported interaction is statistically significant more natural with 2D data on paper than interactions with 3D data in VR. Also, participants reported that they perceived statistically significant more considerable delay between outcome and their action with 3D data in VR. However, effectiveness, measured by the percentage of correctly solved tasks, in both versions enabled participants to answer almost all given tasks successfully. Those results are showing that VR as a medium could be used for analyzing financial statements. In future developments, several additional directions could be incorporated. Exploring data visualization is essential not only for the financial sector but also for other domains such as taxes or law reports.
Design and research of reclaimed water system in Chifeng College Dormitory

With the continuous development of reclaimed water treatment technology, the development and research of wastewater treatment and reuse technology and equipment suitable for colleges and universities can not only eliminate the pollution of wastewater to the environment, but also reduce the cost of water use in Colleges and universities. The reclaimed water can be used as campus toilet and clean water. Chifeng College Dormitory water utilization system transformation, a lot of saving water and sewage charges, saving the water pipeline laying and operation of the corresponding facilities investment, corresponding to reduce the school operating costs.
Unlocking Meaning of Embodied Memories from Bushfire Survivors

In Australia, a country ravaged by bushfire, stories of widespread destruction are shared every summer. The 2019–2020 bushfire season in Australia, for example, received global news coverage with heartbreaking stories of lives lost, heroic firefighters killed on duty, over a thousand homes and businesses destroyed, and millions of native animals and their habitats wiped out. In this paper we present a case study of one of Australia’s past catastrophic bushfire events, the Canberra Firestorm of 2003, in which four people lost their lives, nearly 500 families lost their homes, and Australian infrastructure and historic sites, like the Mount Stromlo observatory, were damaged or destroyed. This paper examines how the bushfire survivors drew upon embodied memories and sensory metaphors to make sense of and narrate their experiences, providing vivid imagery that reflected the multiple sensory inputs people saw, felt, heard, and smelled during the firestorm. We argue that oral history is an essential methodology to explore how sensemaking theory can be used in studies of traumatic experiences.
Penerapan Data Mining Klasifikasi Tingkat Pemahaman Siswa Pada Pelajaran Matematika

The purpose of the research is to classify the concept of understanding students in Mathematics lessons. In the learning process teaching students understanding learning materials is very important. The attainment of student understanding is a function of the being of an educator. Many formulas and concepts to understand make it difficult for students to solve math problems. The data source was obtained from the results of a math comprehension questionnaire of eighth graders at Tamansiswa Tapian Dolok Private Junior High School. The classification method used is the C4.5 Algorithm and assisted with RapidMiner software. Attributes used are student interests, how students learn, student motivation, how to teach teachers, learning media, and infrastructure facilities. The results of the calculation of entropy values and attribute gains obtained 15 rules of mathematical comprehension decisions with 9 rules of understanding status and 6 rules of inconsistency status. Classification modeling with C4.5 Algorithm on RapidMiner obtained 96.00% accuracy Classification with C4.5 Algorithm can be applied and provide new information about the classification of student comprehension concepts in math lessons
Eye corners tracking for head movement estimation

Recently, video-oculographic gaze tracking has begun to be used in the diagnosis of a wide variety of neurological diseases, such as Parkinson and Alzheimer. For this application, the so-called feature-based methods are used, more precisely, 2D regression-based methods. They use geometrically derived eye features from high-resolution eye images captured by zooming into the user's eyes. The main weakness of these methods is that the head of the user must remain motionless to avoid estimation errors. In some patients, some involuntary movements cannot be avoided and it is necessary to measure them. In this paper, we tackle the measurement of head position as a way to improve the gaze tracking on these precision demanding medical applications. As a first stage, we propose to obtain the eye corners coordinates as a reference point, since they are the most stable points in front of the eyeball and eyelids movements. The problem was handled as a regression problem using a coarse-to-fine cascaded convolutional neural network in order to accurately regress the coordinates of the eye corner. Particularly, with the aim of achieving high precision we cascade two levels of convolutional networks. Finally, we added temporal information to increase accuracy and decrease computation time. The accuracy of the estimation was calculated from the mean square error between the predictions and the ground truth. Subjective performance was also evaluated through video inspection. In both cases, satisfactory results were obtained.