Reviewerly/exHarmony huggingface dataset:
Literatura în era digitală

Abstract: The new media compete with reading practices in an unprecedent way as they offer new opportunities for both reading for information and reading for pleasure. Educators can choose to blame the digital era for school shortcomings. In a pessimistic perspective, students who extensively use the internet become superficial and get limited brains. There is nevertheless an optimistic approach where the new technologies, if they are well tuned to sound planning, could catalyze quality learning and deep reading. Our paper starts from a few conclusions in recent cognition studies by reputed analysts and presents successful school activities where students who use the new media step naturally and effectively in the literary universe and internalize concepts and values.
Experiences in applying Bayesian network models in interdisciplinary water quality decision analysis

&amp;lt;p&amp;gt;I review the experience obtained in using integrative Bayesian models in interdisciplinary analysis focusing on oil spill risk analysis and water quality in the Baltic Sea. We have applied BBN especially to interdisciplinary analysis, which is easily needed in decision analysis. In the environmental risk analysis, we have mainly focused on the oil spills, where the data sets are poor and also the published papers are scarce. More importantly, the aim of the decision analysis here is to avoid seeing the data, i.e. to avoid accidents. Therefore, some of our applications are based mainly on the use of expert knowledge, especially when we consider decision options that have not been applied before.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160; In the oil spill risk analysis, we have chosen the state of the threatened species as the decision criteria, as they have a status in other parts of Finnish legislation. There is no single clear objective in oil spill legislation which could be used as a utility function, and our analysis have shown, that the legislation should be updated to include well defined objectives. One of the scientific quality criteria for using the Bayesian decision analysis for management is that the uncertainty estimates are scientifically justified. Especially in cases where society is assumed to be highly risk averse, the uncertainty estimates related to alternative management options may have a crucial role.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;amp;#160; Biology, sociology and environmental economics have their own scientific traditions. Bayesian models are becoming traditional tools in fisheries biology, where uncertainty estimates of management options are frequently required. In sociology, the traditions allow the subjective treatment of the information, which supports the use of prior probability distributions. &amp;amp;#160;Many of the environmental risks have also economic components, or at least actions have a price, which favors the use of quantitative risk analysis. However, the traditions and quality criteria of these three scientific fields are in many respects different. This creates both technical and human challenges to the modeling tasks.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Keywords: Bayesian networks, fisheries management, environmental management, interdisciplinary risk and decision analysis&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;
Architecture of a distributed system for processing heterogeneous data from social networks

The article discusses the architecture of a system for collecting and analyzing heterogeneous data from social networks. This architecture is a distributed system of subsystem modules, each of which is responsible for a separate task. The system also allows you to use external systems for data analysis, providing the necessary interface abstraction for connection. This allows for more flexible customization of the data analysis process and reduces development, implementation and support costs.
Research Guides: Python Resources: Sample Projects

An overview of the capabilities of the Python programming language and resources for learning Python.
Experiental learning of preschool children with a light table

The purpose of the diploma work is to present a light table to professionals in the kindergarten as an aid to carry out the planned activities and activities of the children's choice in the age group 5-6 years, which can also be turned into activities for younger children.The light board is a flat device of various sizes and shapes for play and learning. It emits LED light, which illuminates the things we place on it.We described the theory of experiential learning, the field of technical education in kindergarten, light tables and aids that can be used when working with a light table. With a questionnaire, we researched the knowledge of light tables among educators. The results showed that most of the participants had already heard of the light table, but more than half of the participants had not yet used it for activities for various reasons. They assessed the usefulness of the light table for use in various areas of the curriculum, namely for the field of movement as the least useful and for the field of mathematics as the most useful. Almost all respondents believe that the use of a light table would motivate children highly for activities. Most of the respondents answered that light table would be used more often if there was a manual with collected ideas for activities on it, a translation of the collected ideas can be found in the appendix.During the research of theoretical starting points and the implementation of the practical part of the diploma thesis, it turned out that the light table is a tool that inspires children and motivates them for activities, and educators have a mostly positive opinion about this tool.
Italian-Ukrainian Contrastive Studies: Linguistics, Literature, Translation

The present volume contains a series of contributions presented at the “1st International Symposium of Italian-Ukrainian Contrastive Studies”, which took place at the Institute of Philology of the University of Kyiv Borys Hrincenko1 on 21st June 2018. The event represents one of the few attempts to gather scholars from both Italy and Ukraine in order to focus on problems related to contrastive aspects of linguistics, literature and translation.The Symposium aimed at creating a first working group for studying, at regular intervals, Italian-Ukrainian contrastive grammar and lexis, aspects traditionally associated with contrastive linguistics. It likewise intended to critically evaluate the existing publications in this area and to search for new research perspectives. The original thematic scope of the Symposium was, however, extended to include literary, cultural and translation issues due to the limited number of scholars working strictly in the field of contrastive grammar.Notwithstanding the incomplete number of the papers for publication, we have still been able to cover all three research areas discussed during the Symposium and announced in the title. Moreover, an article on the “Alloglot Lexis and Romance Elements in Ukrainian” has also been added to this volume.The contributions by various Italian and Ukrainian scholars were subject to anonymous peer-review and categorized according to the following tripartite division: linguistics, literature, and translation (translation studies). Of the articles in this volume, only the first does not follow this division because it serves to introduce the reader...
정책내러티브 영향력과 전략에 대한 탐색

(Purpose) The NPF defines core assumptions, level of analysis, hypotheses and research methods within the framework, and emphasizes scientific approach to the narratives in the policy process. However, few studies have examined its usefulness by strictly applying the logic and research methods of NPF to Korean cases. Thus, this study explored the major ideas of the NPF(Narratives persuasion, narratives elements and strategies) with Korean cases(Design/methodology/approach) This paper examined the power of narrative persuasion at the normative core beliefs and policy core beliefs, and narrative elements(characters: heroes, villains, victims) and narrative strategies(angel shift and devil shift) based on the two Korean cases(Korea-U.S. FTA case and Special Act On Prostitution case) using content analysis.(Findings) The results show that the narrative persuasion was more effective on the policy belief-level debate(the Korea-U.S. FTA) than on the normative belief-level debate(the Special Act On Prostitution). In addition, the findings demonstrate that the winners mainly mentioned the heroes, but the losers mentioned the villains. However, hypotheses about devil and angel shift have not been supported. In the case of the Korea-U.S. FTA, it was revealed that the winners mainly used angel shift and the losers mainly used the devil shift, but in the case of the Special Act On Prostitution, both the winners and the losers mainly used the devil shift.(Research implications or Originality) This study argues that while the NPF is a powerful tool, it is imperative that future study also consider the role of belief systems and Korean contexts when testing the role of policy narrative and its outcomes.
Pengembangan dan Pengujian Sistem Pengiriman Barang dengan Konsep Customer Relationship Management pada PT. Khatulistiwa Transogi

Timeliness of delivery, ease of tracking the status of shipping information and guaranteed security of goods is a measure of the success of freight forwarding companies, fast service and ease of getting information can improve business quality and customer loyalty to the company. In the business process of PT Khatulistiwa Transogi, several problems were found that hampered the activities of the company engaged in the delivery of goods, such as errors in input data, transaction data search, data management, customer management, data security and data loss that was enchanted by the current system. This is not yet optimal, the use of paper that still dominates business activities and data integration is not well. The application of information technology in the field of freight forwarding can help the efficiency and effectiveness of a company business process. This research aims to develop an information system as well as to apply customer relationship management methods with a case study in the freight forwarding company PT. Khatulistiwa Transogi. The results of application quality measurement surveys that have been implemented get good ratings from system users, namely the criteria for the ability of users to communicate with software, software operation, accuracy, minimize errors, simplify activities, and storage efficiency, although there are still 2 other criteria that are felt by the user such as the lack of training received by 5 out of 8 users and the inefficient execution time stated by 1 in 8 users.
Sample-efficient reinforcement learning for quadcopter flight control

The combination of reinforcement learning and deep neural networks has the potential to train intelligent autonomous agents on high dimensional sensory inputs, with applications in flight control. However, the amount of samples needed by these methods is often too large to use real-world interaction. In this work, mirror-descent guided policy search is identified as a promising algorithm to train high-dimensional policies on real-world samples. Several experiments are conducted to investigate how the use of expert-demonstrations can further improve the sample-efficiency of this algorithm when applied to the control of a quadcopter in simulation. It is shown how demonstrations, when combined with certain alterations in the mirror descent guided policy search algorithm, can significantly reduce the amount of samples needed to achieve good performance. Additionally, it is shown how these improvements are robust to sub-optimal demonstrations.
Linear and Differential Cryptanalysis

In this chapter, we will go through two important types of cryptanalysis, linear and differential cryptanalysis, introducing basic and advanced concepts and techniques regarding how these two types of cryptanalysis can be conducted and implemented.
Guides: Virtual Library Research Session: Virtual Library Research Session

Gain a basic understanding of how to use Library research tools through this series of sequenced videos covering keyword development to searching strategies to interlibrary loan. Learn how to access distance resources while on-site classes are suspended.
Sequential Normalization: an improvement over Ghost Normalization

Batch normalization (BatchNorm) is an effective yet poorly understood technique for neural network optimization. It is often assumed that the degradation in BatchNorm performance to smaller batch sizes stems from it having to estimate layer statistics using smaller sample sizes. However, recently, Ghost normalization (GhostNorm), a variant of BatchNorm that explicitly uses smaller sample sizes for normalization, has been shown to improve upon BatchNorm in some datasets. Our contributions are: (i) three types of GhostNorm implementations are described, two of which employ BatchNorm as the underlying normalization technique, (ii) we uncover a source of regularization that is unique to GhostNorm, and not simply an extension from BatchNorm, and visualise the difference in their loss landscapes, (iii) we extend GhostNorm and introduce a new type of normalization layer called Sequential Normalization (SeqNorm), (iv) we compare both GhostNorm and SeqNorm against BatchNorm alone as well as with other regularisation techniques, (v) for both GhostNorm and SeqNorm, we report superior performance over state-of-the-art methodologies on CIFAR--10, CIFAR--100, and ImageNet data sets.
School Literation Towards (SLT) Literate Culture Building in Elementary School

Abstract: The school needs to create an environment that is conducive for its learners to be lifetime learners. To achieve this goal, the ministry of education and culture develops the program so-called national literacy movement containing the school literacy movement in its. This movement has not been fully achieved because most of the school principals have not comprehended what to do to implement the movement. The challenge to administer this movement in society has something to do with several issues, namely: the movement of a program that cultivates reading habits to spend time or reading habits to form students’ interest in reading. There is a need to prepare school principals and teachers who are productive in creating the school as a reading community. This article suggests several ideas to achieve the school literacy movement to promote several activities that teachers need to take. In this circumstance, the teachers should be able to facilitate students by providing ample time and opportunities so that students have enough chance to retell what they read and understand. The school should be able to manage a schedule for students reading activity. Besides, the principals and their supporting staff must enrich the library to facilitate students and cater to their reading habit and interest to build a reading community in the school. Keywords: elementary school, reading comprehension, literacy culture, national literacy movement,  school literacy movement.
DO STUDENTS DREAM OF ELECTRO PATIENTS?

Virtual (digital) learning is discussed from the perspective of Maslow's theory. The possibility of natural embedding of digital learning into the pyramid of modern human needs is determined.
Sentiment and growth of different news categories on Twitter : A study in Natural Language Processing

In this age of digitalization, people have begun to change their news consumption behavior. More than half the population of the world has internet access and thereby readily available platforms fo ...
Tuning your body instrument: The alignment of tone and movement

In this article, we outline a movement practice we devised called ‘tonal alignment’. It invites you to regard your body as a musical instrument that produces both a mechanical vibration (movement) and an acoustic vibration (sound). The basic practice involves moving different parts of your body to various musical tones. These tones can be made with your own voice, an instrument, or you can play recorded music. Synchronizing body movement with acoustic sound is what tunes the body instrument. Body tuning, now regarded as comparable with tuning a musical instrument, can be done before any activity or ‘performance’ including the everyday tasks of work and play. Intentionally moving different parts of the body in response to particular musical tones develops a greater capacity to be spontaneously moved by music. Tonal alignment is fun, experimental, can be done alone or with others and brings a welcome inspirational reset.
Evaluation of population knowledge about leptospirosis disease

The present study aimed to survey the population's knowledge about leptospirosis zoonosis, in which 684 people of different ages, occupations, and housing conditions were interviewed Due to the circumstance of social isolation resulting from the Covid-19 pandemic, we used the Google Forms remote interview method We sought to bring together different professionals, trying to associate their responses with those of health professionals also questioned, so that the discrepancy or equivalence of responses could be assessed, according to the degree of knowledge of each group about leptospirosis After completing the questionnaire, a digital folder was made available with the correct information about the disease, aiming to raise awareness among the population The Leptospira bacterium is the agent responsible for Leptospirosis infection, which adapts in humid and hot environments The main reservoirs of the disease are synanthropic rodents that eliminate the agent through urine For this reason, conditions of low basic sanitation and areas of floods are areas of risk that appropriate the infection It's important that the population has a basic knowledge about the disease to prevent it and, with that, fight the contamination points Our study had access to the knowledge of people from different occupations to assess whether government campaigns are being effective with the provision of information and awareness
Enhanced Privacy Preservation of Cloud Data by using ElGamal Elliptic Curve (EGEC) Homomorphic Encryption Scheme

Nowadays, cloud is the fastest emerging technology in the IT industry.We can store and retrieve data from the cloud.The most frequently occurring problems in the cloud are security and privacy preservation of data.For improving its security, secret information must be protected from various illegal accesses.Numerous traditional cryptography algorithms have been used to increase the privacy in preserving cloud data.Still, there are some problems in privacy protection because of its reduced security.Thus, this article proposes an ElGamal Elliptic Curve (EGEC) Homomorphic encryption scheme for safeguarding the confidentiality of data stored in a cloud.The Users who hold a data can encipher the input data using the proposed EGEC encryption scheme.The homomorphic operations are computed on encrypted data.Whenever user sends data access permission requests to the cloud data storage.The Cloud Service Provider (CSP) validates the user access policy and provides the encrypted data to the user.ElGamal Elliptic Curve (EGEC) decryption was used to generate an original input data.The proposed EGEC homomorphic encryption scheme can be tested using different performance metrics such as execution time, encryption time, decryption time, memory usage, encryption throughput, and decryption throughput.However, efficacy of the ElGamal Elliptic Curve (EGEC) Homomorphic Encryption approach is explained by the comparison study of conventional approaches.
LibGuides: ACUE Bibliography: gfgf

The Essentials of College InstructionACUE’s Course in Effective Teaching PracticesA Comprehensive Bibliography
Autonomous Navigation with Collision Avoidance using ROS

Simultaneous navigation and mapping is a modern mapping technique. The aim of SLAM is to develop 2D environment of a location while tracking the robot’s position. This paper aims to develop ROS enabled robot with SLAM features in order to avoid collisions and navigate autonomously. A world is simulated using Gazebo and visualized using a tool called Rviz. Autonomous navigation is achieved by mapping the environment and plotting the odometry. Particle filtering is the algorithm on which SLAM works. This helps in using the odometry values to find the probable path for the robot to move whilst avoiding collision.
Pose Estimation by Detection and Tracking of Artificial Markers for Planetory Exploration

This thesis presents a new approach of indirectly tracking an static AprilTag with a monocular camera. The method developed, yields a metric pose estimation of the markereven when it leaves the cameras field of view. This was accomplished by using a keyframebased direct odometry that was enriched by a spherical motion stereo algorithm in order to perform a 3D-to-2D tracking. The proper scaling of the transformation is achieved by a fusion of the depth maps from the marker and the motion stereo. Furthermore an error model was developed, which yields an uncertainty estimation for every pose, to allow the merging of pose estimations from other sources. The work was done with consideration of an application to support a landing approach of a micro aerial vehicle in a real scenario. The results that were obtained during this work are promising to further develop this approach.
Research on Vision-based Intelligent Detection Method of Circle Features

Abstract Aiming at the low efficiency and low accuracy of traditional manual detection of workpiece circular features, a machine vision method is proposed to accurately detect circular features. By adopting algorithms such as iterative threshold segmentation, generating XLD contours, selecting feature contours and random Hough transforms, single or multiple circles on the workpiece can be quickly detected. Experiments show that the detection is efficient and accurate, and can meet the detection needs of industry.
Visual-Inertial RGB-D Mapping for Quadruped Locomotion

Quadruped Locomotion can profit from a local map by determining optimal foot placementlocations and planning the foot motion knowing the ground height at foot position. Rapidmotion of the robot necessites a robust yet accurate method to estimate odometry ableto deal with high amounts of motion blur. In this work, the Realsense D435i RGB-Dcamera equipped with an IMU (both accelerometer and gyroscope) is used in a densevisual-inertial odometry algorithm to infer the motion.The dense odometry algorithm is based on DVO, it uses depth and intensity information for odometry estimation. It is fused in a tightly-coupled manner in a Gauss-Newtonoptimization scheme with the preintegrated IMU data. The vision sensor and IMU arecalibrated using the algorithm of Rehder et al.Dense visual descriptor learning is being evaluated to relax the brightness constancy assumption and to improve the robustness to motion blur. Different networkarchitectures are trained to output features at different scales. Two approaches for trainingare being evaluated, one using pixel-wise loss functions and the other using twoRGB-D images as input which are then aligned using a differentiable implementation ofDVO.The effectiveness of the full algorithm is evaluated on the ETH3D benchmark whichcontains accurately calibrated and synchronized RGB-D and IMU data. It is shown thatthe algorithm is in principal suitable for the problem of quadruped locomotion. Its accuracyhowever highly depends on the environment and the depth sensor quality. Thus, severalpossible future research directions are proposed to better deal with these deficiencies.