Reviewerly/exHarmony huggingface dataset:
Fast and Error-Adaptive Influence Maximization Based on Count-Distinct Sketches

Influence maximization (IM) is the problem of finding a seed vertex set that maximizes the expected number of vertices influenced under a given diffusion model. Due to the NP-Hardness of finding an optimal seed set, approximation algorithms are frequently used for IM. In this work, we describe a fast, error-adaptive approach that leverages Count-Distinct sketches and hash-based fused sampling. To estimate the number of influenced vertices throughout a diffusion, we use per-vertex Flajolet-Martin sketches where each sketch corresponds to a sampled subgraph. To efficiently simulate the diffusions, the reach-set cardinalities of a single vertex are stored in memory in a consecutive fashion. This allows the proposed algorithm to estimate the number of influenced vertices in a single step for simulations at once. For a faster IM kernel, we rebuild the sketches in parallel only after observing estimation errors above a given threshold. Our experimental results show that the proposed algorithm yields high-quality seed sets while being up to 119x faster than a state-of-the-art approximation algorithm. In addition, it is up to 62x faster than a sketch-based approach while producing seed sets with 3%-12% better influence scores
Evaluation of Information Technologies and Software Course Curriculum in the Context of CIPP Model

The main purpose of this study is to evaluate the Information Technologies and Software curriculum using the Context-Input-Process-Product (CIPP) model introduced by Stufflebeam in line with the teachers' opinions. In this study, it was aimed to conduct a program evaluation study based on the CIPP model using an interview method from qualitative research methods. The study group of the research consists of 25 Information Technology Teachers working in Ağrı, Aksaray, Eskişehir, İstanbul, Manisa, Şanlıurfa and Şırnak province determined by using maximum diversity sampling, one of the purposeful sampling methods. Qualitive data were collected using a study a structured interview form based on the CIPP model developed by Stufflebeam. Descriptive analysis method was used in qualitive data analysis. According to the results of the study, while the teaching principal methods in the curriculum were found to be successful in measurement and evaluation, it was observed that they could not be put into practice due to deficiencies such as inadequate Computer infrastructure and hardware.
Path Planning for Unmanned Aerial Vehicle (UAV) using Rotated Accelerated Method in Static Outdoor Environment

Generating path planning for unmanned aerial vehicles (UAV) is important to provide a smooth navigation flight path from source to destination. In the past, fast iterative methods that apply the use of full-sweep iteration were suggested. In this study, a fast iterative method known as Rotated Successive Over-Relaxation (RSOR) is introduced. The algorithm is implemented in a self-developed 2D Java tool, UAV Planner. The proposed method was tested using several simulation scenarios which demonstrated the efficiency of the algorithm by finding the path in term of smoothness, computational time efficiency and number of iterations, with a different number of outdoor static obstacles in the form of hills. The results show that RSOR gives a faster computational time and less iterations to generate a path for UAV platform when compared to previous methods. Keywords: Unmanned Aerial Vehicle, Path Planning, Laplace, Harmonics Potential.
TEACHER’S BELIEFS IN TEACHING READING USING MULTIMODAL TEXT

Teachers are considered to have an important role in transforming schools and classrooms. They have something to do with successful students learning. It is interesting to note that practically exposed to the same material, curriculum, students and environment, teachers conduct their teaching in various ways because English teachers have preconceived ideas or beliefs about the best approach in their teaching. This reflects the effectiveness of their practice. As multimodal text is necessary to be used in this digital era since text can appear in various forms and do not have to always be in writing consisting of rows of letters or characters. Teachers must have sufficient knowledge and understanding about it. Moreover, before the Covid-19 outbreak appeared in this world and affected all areas, especially education, teaching and learning process in the classroom was still focusing on the use of English textbooks that do not involve various kinds of mode. Therefore, the use of multimodal text is helpful to be used during the pandemic where the teaching and learning process has shifted to online learning. This case study aims to reveal a Senior High School English teacher’s belief about multimodal text in teaching reading. It also reveals how the teacher apply her beliefs in teaching practices. The findings suggest teacher’s personal beliefs about multimodal text and how the use of multimodal text which should be used in the classrooms.
Camera Raw Image Processing and Registration Using Raw CFA Images

Abstract— RAW — a multimedia file with image details collected by the camera concerning the pixel values of the sensor and the text information. The processing of RAW is important ignoring the replication of images, to save space, to encourage the operation of image files and to have continuous capture. The RAW is emphasized as a digital adverse and varies according to the scale depending on the manufacturer of the hardware. The proposed workflow is to Extract and process RAW sensor information from the RAW files and view the picture format details. Image quality is the significant parametric quantity that defines the captured RAW image. With no built-in compression (RAW) the most extreme resolution brings about picture from any advanced camera. The MATLAB R2016a was used to execute the purpose of the workflow and the analysis. We examined direct registration of raw images based on an imaging model, which shows precise estimation of motion among severely aliased raw images. The proposed method is verified through experiments using synthetic and real images.
Momentum Effects in the Cryptocurrency Market after One-Day Abnormal Returns

This paper examines whether there exists a momentum effect after one-day abnormal returns in the cryptocurrency market. For this purpose a number of hypotheses of interest are tested for the BitCoin, Ethereum and LiteCoin exchange rates vis-a-vis the US dollar over the period 01.01.2017-01.09.2019, specifically whether or not: H1) the intraday behaviour of hourly returns is different on overreaction days compared to normal days; H2) there is a momentum effect on overreaction days, and H3) after one-day abnormal returns. The methods used for the analysis include a number of statistical methods as well as a trading simulation approach. The results suggest that hourly returns during the day of positive/negative overreactions are significantly higher/lower than those during the average positive/negative day. Overreactions can usually be detected before the day ends by estimating specific timing parameters. Prices tend to move in the direction of the overreaction till the end of the day when it occurs, which implies the existence of a momentum effect on that day giving rise to exploitable profit opportunities. This effect (together with profit opportunities) is also observed on the following day. In two cases (BTCUSD positive overreactions and ETHUSD negative overreactions) a contrarian effect is detected instead.
Impact of light exercises in selective cognitive response andhandballshooting accuracy performance in Mesopotamia handball players

The study aimed to use exercises specific to light effects and know the extent of its impact in the selective cognitive response and accuracy of the performance of handball shooting skill in the players of the Club of Mesopotamia handball, the researcher used the experimental method and the design of the two equivalent groupswith pre- and post-tests, but the research community is made up of handball players in Diyala province (30) players divided into clubs (Diyala, Mesopotamia, Meqdad) The two groups underwent pre- tests and then introduced the independent variable to the experimental group for 12 weeks, whilethe group left the officer to apply its method of training staff, after which the post- tests were conducted in the same circumstances as the pre- tests and the previousvariables themselves. After collecting and tabulating the data, the researcher concluded that the exercises used contributed to the development of the accuracy of the handball shooting skill of the research sample.
Video Steganography Based on Modification Probability Transformation and Non-additive Embedding Distortion

In recent years, research on motion vector-based video steganography has attracted considerable attention from researchers in the field of information hiding. Many video steganographic methods incorporating motion vector-based additive embedding distortion functions have achieved good performance. However, the mutual embedding impact between cover elements in video steganography is neglected in these additive embedding distortion functions. In this paper, joint distortion which reflects the mutual embedding impact for motion vectors is designed. By decomposing joint embedding distortion, modification probability transformation can be achieved and embedding payloads can be dynamically and reasonably allocated in horizontal components and vertical components of motion vectors. Therefore, the video steganography method using non-additive embedding distortion is proposed. Experimental results demonstrate that the proposed method can enhance the security performance significantly compared with the typical methods using additive embedding distortions and obtain the relatively better video coding quality as well.
Top 20 Project Management Methodologies

Choosing the right project management methodology is essential. Here are the 20 most popular project management methodologies (PMMs) in practice today.
Methods of pedagogical support for foreing students: social formation of students and formation tolerance.

The article examines some aspects of the socialization of foreign students in the Russian education. In particular, the transformation of foreign students' perception of the culture of Russia from a state of culture shock to “entering” the Russian-speaking society is seen not so much as a process, but as a significant result of using a set of methods of pedagogical support of social formation. The methods of pedagogical support in the social formation of foreign students are understood as a set of pedagogical practices based on the joint activities of the teacher and students. In the process of these avtivities they identify and content the key points of the individual trajectory of the social formation of students in relation to the study and perception of the Russian culture. The article highlights the following methods of pedagogical support of social development: cultural immersion, empathy, building an individual trajectory. The concept of "the key point of the individual trajectory of social formation" is interpreted as a situation of choice, awareness of the significance and value of this or that knowledge, skill, action on their basis. It is noted that pedagogical support from a teacher involves subject-subject interaction, understanding, motivation and support of students in the educational process, the ability of a more experienced person to correlate his opinion with another and to respect the opinion of a less experienced student.
Multilingual Denoising Pre-training for Neural Machine Translation

This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks. We present mBART -- a sequence-to-sequence denoising auto-encoder pre-trained on large-scale monolingual corpora in many languages using the BART objective. mBART is the first method for pre-training a complete sequence-to-sequence model by denoising full texts in multiple languages, while previous approaches have focused only on the encoder, decoder, or reconstructing parts of the text. Pre-training a complete model allows it to be directly fine-tuned for supervised (both sentence-level and document-level) and unsupervised machine translation, with no task-specific modifications. We demonstrate that adding mBART initialization produces performance gains in all but the highest-resource settings, including up to 12 BLEU points for low resource MT and over 5 BLEU points for many document-level and unsupervised models. We also show it enables transfer to language pairs with no bi-text or that were not in the pre-training corpus, and present extensive analysis of which factors contribute the most to effective pre-training.
Intelligent Blowgun Game Scoring Recognition System Based on Computer Vision

In this manuscript, we present score recognition techniques for blowgun game based on computer vision. First, the algorithm detects the position of the target, and calibrates the camera's parameters. Then the score is calculated with the detection of the dart tip on the target for real-time applications. To improve the robustness, the initial calibration is proposed to record N points as references at the edges of circles, to correct the camera position and angle. This approach can overcome the problems of lighting changes and the camera viewing angle deviation. The fast segmentation and orientation decision is proposed to find the blowgun tip accurately. The two cameras are presented to solve the overlapping problem of multiple darts to improve the detection accuracy. Based on calibration parameters, the distance weighting method is proposed to calculate the score precisely. Experiments result that the accuracy can achieve about 97% to recognize the score, and the processing speed can meet the real-time requirement with software implementation.
Web-Based Room Loan Management Services Using Web Based RAD Method: Web-Based Room Loan Management Services Using Web Based RAD Method

At the moment, the information service System in every campus is very important, and students are also currently enthusiastic to conduct activities on campus by utilizing the facilities provided by the campus, therefore it is necessary to do to design the information system of lending management services through the website, because the current system is still manual, which is the user of the room in the process is still done by meeting the administrator This requires a relatively long process that makes it difficult for users and administrators. Then in the data logging of the room that has not been integrated into a system will complicate the administrator if you want to give access to the user room.  The method for designing the application uses the RAD (Rapid Application Development) method. RAD is a model of the software development process that belongs to the incremental technique (multilevel), the RAD method used is iterative (recurring) in developing the system, in the creation of the RAD model that works, in the development stage set the need (requirement). The stages of creating this Web application utilize PHP and Mysql. From the results of this research user and the user can easily manage the management of room lending.
Experiencias evaluativas online en la Uniandes durante la pandemia del Covid-19

La pandemia del COVID ha afectado a todos los niveles educativos y por consiguiente a los componentes del proceso de ensenanza aprendizaje. Una de las categorias de este proceso, la evaluacion, ha tenido que emigrar a contextos online que, si bien han ofrecido resistencia por profesores y estudiantes al cambio, se ha visto limitado por otros factores de conectividad, desconocimiento de herramientas y recursos disponibles para llevar a cabo evaluaciones de varios tipos, entre otras. Esta investigacion describira las opiniones de los estudiantes del primer y segundo nivel de UNIANDES de la Carrera de Derecho con relacion a la evaluacion llevada a cabo en las asignaturas del Bloque de Investigacion. Se utilizo un enfoque cualitativo y la tecnica de la encuesta a partir de la escala de Likert para conocer criterios sobre los aspectos mas sobresalientes de la evaluacion. Los resultados obtenidos demuestran que el proceso evaluativo durante el semestre mayo-agosto 2020, a pesar de tener un escenario adverso, fue satisfactorio y puede mejorarse a partir de la riqueza de metodos y herramientas que nos brinda los entornos virtuales de aprendizajes. Palabras clave: Evaluacion online, plataforma MOODLE, entornos virtuales de aprendizaje.  ABSTRACTThe COVID pandemic has affected all educational levels and therefore the components of the teaching-learning process. One of the categories of this process, evaluation, has had to migrate to online contexts that, although they have offered resistance by teachers and students to change, it has been limited by other factors such as connectivity, lack of knowledge of tools and resources available to carry out evaluations of various types, among others. This research will describe the opinions of the students of the first and second level of UNIANDES of the Law Degree in relation to the evaluation carried out in the subjects of the Research Block. A qualitative approach and the survey technique based on the Likert scale were used to find out criteria about the most outstanding aspects of the evaluation. The results obtained show that the evaluation process during the May-August 2020 semester, despite having an adverse scenario, was satisfactory and can be improved from the wealth of methods and tools that virtual learning environments offer us. Keywords: Online assessment, MOODLE platform, virtual learning environments.
The Formation of Dajare and Its Effects on Speech Partners in Anime Monogatari Series

This study aims to describe the formation of dajare and examine the effects of dajare on speech partners. The data in this study were taken from the anime series entitled Monogatari Series. Data from the anime series were collected using the contextual analysis method. The results showed seven dajare formation processes: homophones, mora change, metathesis mora, combining phrases, dividing phrases, mixing foreign languages, and moving commas. It was found that the effect of dajare on speech partners was mainly positive.
The personality and competences of primary-school teachers: a research study

This article presents an investigation into how primary-school pupils imagine a good teacher and what characteristics of teachers they appreciate. The teacher’s personality is a quality of central importance to the teaching process. Teachers find themselves in many diverse situations and they cannot always remain the same. Each situation requires different qualities, attitudes and knowledge. In different situations, the teacher can achieve the same educational outcome in various ways, by using a range of methods. No teacher can be expected to have the ideal personality and cannot possibly have all the desired qualities, so some qualities compensate for the lack of others. However, the crucial aspects of a good teacher’s personality is authenticity, naturalness and positive relationship with pupils.
Creation of a laboratory of cyber-physical systems: Interdisciplinary integration

The paper is devoted to a problem of an interdisciplinary interaction of researchers in a framework of big and ambitious projects implementation. This problem is of immediate interest in the modern scientific community since it is necessary to solve problems from various fields of scientific directions. For the implementation of breakthrough interdisciplinary projects and for the interaction of experts from different scientific fields, ITMO University decided to establish an interdisciplinary Laboratory of cyber-physical systems.
Recomendaciones para el diseño de cursos virtuales en las modalidades semipresencial y a distancia utilizando la plataforma Moodle

Objective: The paper aims at providing guidelines for designing online courses using the Moodle platform in the blended and distance educational modalities.Methods: The authors rely on theoretical methods such as analytical-synthetic, inductive-deductive and the rise from the abstract to the concrete in documentary review, and in the examination of Moodle platform supported courses.Result: Based on the analysis and remodeling of documents ruling virtual courses design, a set of guidelines is devised for blended and distance modalities.Conclusion: The authors arrived at the conclusion that by making available information about   virtual course design characteristics features in the blended and distance modality, teachers’ performance in the virtual environment will be favored. The guidelines offered do not hindir their creative capacity.
Multi Agent Energy Efficient Model for Cloud Resource Management and Consolidation Using Reinforcement Learning

Cloud Computing provides services to the customer by using various resources which consumes energy. Energy plays a vital role in the cloud because it involves cost and service quality. Various models are implemented for reducing the consumption of energy. Existing models analyzed only a specific set of resources that are not efficient because of the large number of resources involved in the data center. Reinforcement Learning (RL) model gives support to minimizing the energy through learning and reward. Single RL models also analyze the energy in resource level. The Data Center (DC) in the cloud consists of a host with a number of Virtual Machines (VMs), so the energy consolidation is needed for minimizing energy. Multi agent RL model is proposed for minimizing the energy in VM level to DC level by implementing three agents namely VM agent, Host Agent and DC agent. The reward value is calculated based on these agents with corresponding resource level. It performs the action related to policy for finding energy efficient resources in order to execute the workload. Idle VM on the host are identified and terminate it because it consumes a substantial amount of energy. The proposed RL model consolidates the VMs of the various host and shutdown idle hosts and achieves minimum energy.
O włoskiej „fantastyczności”: między leksykografią a historią literatury

The fantastic in literature has been discussed so thoroughly that any new paper on the subject may arouse suspicion of reworking the existing ideas. However, the aim of the present article is to fulfill a gap in the research into the fantastic literature, especially the Italian fantastic literature, and address a problem which has not been answered appropriately in this field of study. The previous research into the fantastic has almost always omitted the etymology, focusing only on the 19th-century literary origins of the term, whereas the present paper analyzes modern dictionary definitions of the term, traces the historical development of its meaning since the earliest recorded occurrence of the word in the Italian language, and finally examines minutely the Greek etymology of the word and collates it with the most recent meaning that the word acquired in the 19th century, namely fantastic as a literary term. The meticulous etymological analysis has allowed to shed light on surprising denotations and connotations of the word fantastic , which, although omitted in Italian dictionaries, remain to this day implicit in the role and the characteristics of this literature in Italy. The article is a contribution to the author’s research into the contemporary Italian fantastic novel. The arguments presented in this paper may confirm the author’s thesis that the fantastic literature, and above all the Italian one, tends to serve as a tool for commenting and interpreting the reality.
Research Guides: Off-Campus Library and Interlibrary Loan Services: Interlibrary Loan for Articles

This LibGuide outlines the policies and procedures for off-campus students, faculty & staff utilizing the services and resources of the Shapiro Library.