Reviewerly/exHarmony huggingface dataset:
Algorithms and Collusion: Competition Law Challenges of Pricing Algorithms

The purpose of this paper is to find possible measures to tackle algorithmic collusion, caused especially by pricing algorithms, from the perspective of competition law. This paper does not intend to analyse all possible measures that may exist, but rather, focus on a few measures that are seen reasonable. Before proceeding further to analyse these possible measures, the concepts of algorithms and collusion are examined. The second chapter consists of analysis examining the meaning of algorithms as well as certain benefits derived from them. The third chapter analyses the concept of collusion from the perspective of EU Competition law. Essentially, competition law of the EU will function as an appropriate benchmark for further analysis. The fourth chapter is there to examine the concept of algorithmic collusion through four scenarios: the Messenger, the Hub-and-Spoke, the Predictable Agent, and the Digital Eye. The first two scenarios are dealing with situations where algorithms are used as helpful tools to make explicit collusion possible. In other words, there is an element of agreement or meeting of the minds between the colluding undertakings. In the last two scenarios, there is no element of agreement, but undertakings are seen to tacitly collude with the help of algorithms. Greater focus will be on the Predictable Agent and the Digital Eye since these scenarios are not as easily tackled with current competition rules as the first two scenarios. In the fifth chapter, it is finally time to analyse certain measures to address algorithmic collusion. First of all, when it comes to fully autonomous pricing algorithms, these algorithms may constantly learn from past and current data to always optimise the best price for their masters. This optimisation may take a form of stable supra-competitive pricing harmful for the consumers. Now, in order to tackle these concerns, we may expand the interpretation of agreement or concerted practices to forbid the usage of harmful pricing algorithms that cause anti-competitive effects to the relevant market. Alternatively, the possibility of prohibiting tacit collusion with the help of clearly formulated criteria is examined. Both “by object” or “by effect” approach could be applicable. However, the effects-based approach would offer a more reasonable balance between the opposing interests of competition authorities and the undertakings. Overall, it is up to each jurisdiction to decide their own approach on how to tackle algorithmic collusion based on their political will for instance. After all, there is no one single measure that would be definitively correct in tackling this challenge. (Less)
Видеокурс: интерактивность и медиаконтент («я вижу – я запоминаю...»)

Today, media content is especially attractive for the younger generation, so its integration into the educational sphere has great potential.The article considers the development of a video course with original content, which includes various ways of information interpreting and a binary method of presenting the educational material (jointly by two teachers).The article is based on an analysis of the available successful video lecture developments presented on various popular Internet distance learning platforms, as well as the personal experience of the article authors. A typical process for the creation of an electronic educational material is described in detail. In the opinion of the authors, thanks to the harmoniously formed creative team (consisting of script writers / lecturers, the course designers), it is possible to successfully create a video course, before having first developed a media strategy and, secondly, a production plan. In order to clearly execute the logic of video course production, it is necessary to carry out simulation of this process.The article attempts to comprehensively analyze the video course taking into account the solution of applied tasks for its successful development.The used media education component allows creating an interesting video course, thereby opening up new horizons of future education for different specialties.
The Professional-Grade DevOps Environment

As we equip our team with a professional-grade environment, we need a model by which we can know what we are missing. This model is a depiction of a complete environment set up for DevOps success. The name for this model is Onion DevOps Architecture.
In Code We Trust? Trustlessness and Smart Contracts

The term 'trustlessness' has given rise to a common misperception of smart contracts reducing or even eliminating the need for trust. At first glance, smart contracts appear to do away with the need for trust in the counterparty. Since performance is automatic, smart contracts enable the promisee to obtain what has been promised to them, without the need to depend on interpersonal trust vis-a-vis the counterparty or a system of contract law to enforce the promise. However, if we take into account the social, economic, and political contexts in which smart contracts operate, do they override the need for trust? In other words, are they really 'trustless'? We argue that a new set of trust concerns arise in the context of smart contracts, especially when they run on blockchains.
ORGANIZATION OF INFORMATION EXCHANGE IN DECENTRALIZED ROLE-PLAYING SYSTEMS, CONTROL OF MULTI-ROBOTIC SYSTEMS USING ZIGBEE

The problem of managing robots and robots coalitions is one of the limiting factors that stand in the way of the introduction of robots and multi-robot systems. Overcoming this problem is to increase the level of autonomy of robots, as well as the improvement of remote control interfaces of robots. At the interfaces of human and robot interaction, mechanical controls, such as buttons, joysticks and touch screens, prevail at the moment. All of them require the operator to use hand and / or foot movements. One of the promising areas of interface development is the use of tracking the direction and nature of the operator’s gaze. The article proposes the use of an extended human-robot interface with augmented reality, based on the principles of tracking the gaze of a human operator when analyzing video data from the on-board video system of the robot. The design of augmented reality glasses, characterized by simplicity and affordability of performance, is proposed. This design uses a typical smartphone and case, which can be made using 3D printing. At the same time, there are no additional sources of illumination of the operator’s eyes, with the exception of the smartphone screen. An example of software implementation for such an interface is shown.
Galveston College Library: Galveston College Library Homepage: Library Spaces and Technology

Welcome to Galveston College library. The David Glenn Hunt Memorial Library provides access to college level print and electronic resources for GC students, faculty, staff and the community.
Three-dimensional Visual Simulation for Trajectory Tracking of Autonomous Underwater Vehicle Based on UWSim

Three-dimensional visual simulation is very helpful during the research and development of autonomous underwater vehicle. In this article, a three-dimensional visual simulation system for autonomous underwater vehicle is designed based on an underwater simulator called UWSim. Firstly, underwater scene and the vehicle model is configured, and the dynamic model is built based on the autonomous underwater vehicle. A power reaching law based sliding mode controller is then designed for verification. Finally, a co-simulation platform based on UWSim and Matlab/Simulink is implemented. On this co-simulation platform, a trajectory tracking simulation based on the proposed control strategy is carried out. The simulation results indicate that this three-dimensional visual simulation platform is a helpful method to display and update the visualization scene of autonomous underwater vehicle and verify specific control algorithms.
Classification of Motivational Dispositions: A Psychological Systems Perspective of Academic Behavior

Author(s): Umarji, Osman | Advisor(s): Eccles, Jacquelynne | Abstract: Academic motivation is a complex psychological construct. It is multifaceted, hierarchical, dynamic, and developmental in nature. Students exhibit substantial heterogeneity in the ways in which academic motivation develops and manifests in short and long-term behavior. Much of the prior literature has considered motivated behavior in an academic subject like math to be the result of math motivation alone. This dissertation draws from the Eccles’ expectancy-value theory of achievement motivation, which posits that academic behavior is the result of subjective psychological perceptions of competence and task-value, in order to investigate the hierarchical and dynamic nature of motivational dispositions and their associations with academic behavior. In Chapter 2, I use variable and person-centered approaches to investigate the development of math and English self-concept of ability throughout adolescence and their dual role in the process of selecting a college major. I demonstrate that the relationship between math and English self-concept changes over time, from being positively correlated to uncorrelated to negatively correlated between sixth and twelfth grade. Cluster analyses uncover heterogeneity in the patterns of math and English self-concept that students hold, and these clusters are predictive of the college major that students eventually select. The cluster also reveal gender differences in self-concept hierarchies that ultimately relate to college major choice. In Chapter 3, I use longitudinal structural equation modeling to study the development of academic task-values in high school. I focus on the role of dimensional comparisons, which refer to cross-domain influences, across the domains of math, English, biology, and physical science. Results indicate that achievement relates to cross domain subjective task values (STV), and STV in 10th grade relates to cross domain STV in 12th grade. STVs in 12th grade relate to college major choice. In Chapter 4, I use cluster analysis and hierarchical logistic regression to investigate daily academic behavior in an undergraduate online course. I synthesize theories of motivated behavior and demonstrate that unique profiles of subjective task values and emotions relate to both expectations of task attainment and actual task attainment. In Chapter 5, I conclude with some critiques regarding the scientific study of motivation, such as problems with modeling latent constructs using linear models. I then present a dynamic systems approach from the physics to modeling human motivation.
An Automatic Text Summary Method Based on LDA Model

Document automatic summarization technology is a method that refines documents and generates summaries representing the whole document to help people quickly extract important information. Aiming at solving lack of semantic information in document abstracts, this paper proposed a weighted hybrid document summary model based on LDA. This model obtains the theme distribution probability through analysing the document. Firstly, we used the FCNNM (Fine-grained Convolutional Neural Network Model) extract the semantic features, then search the surface information of the text from heuristic rules, including the length, location of the sentence and TF-IDF of the words in the sentence, and weighted to calculate the sentence score. Finally, used the greedy algorithm to select the sentence to form the abstract. Experiments show that the proposed model can effectively compensate for the lack of semantics between abstract sentences and text in traditional algorithms, effectively reduce the high redundancy in document abstracts and improve the quality of abstracts.
PARAMETERS OF THE CONFLICTING COMPETENCY OF THE STUDENTS – FUTURE TEACHERS IN TECHNOLOGIES AND ENTREPRENEURSHIP

The development of social competencies is of huge importance for young people of the 21st century. The contemporary, dynamic world requires skills for effective communication and dialogic behavior, quick adaptation, decision – making and high conflict avoidance culture.&#x0D; The object of the research are the possibilities of forming social competencies, in particular, the ability of conflict avoidance in the development of educational technological processes. The goal is to study the parameters of conflict culture in future teachers in technological education. In the context of the current research, the social competence is studied as a means of problem solving, conflict avoidance, empathy display, assertiveness, the willingness of being constructive, and socially responsible dialogic behavior. The results of the implemented empiric study of the social competency “conflict avoidance“ are displayed as well.&#x0D; In the conducted empirical study with pedagogics students, the development dynamics of the social competency “conflict avoidance” is followed, using the TKI: Thomas Kilmann Conflict Mode Instrument. The conclusions made refer to the pedagogical effectiveness of the project based method for the formation of conflict-avoidance culture.
PEMANFAATAN APLIKASI MICROSOFT MATHEMATICS PADA PEMBELAJARAN MATEMATIKA

Teachers still do not utilize media learning in developing teaching skills, especially those that make use of information and communication technology (ICT). One of the applications that can assist teachers in teaching is a Microsoft Mathematics. The purpose of this activity is to help teachers in the calculation on math and science lessons to more quickly and easily without leaving the basic concept that is important. The activities of the community are done in Nurul Ikhlas Junior High School and PGRI 1 Ciputat Junior High School. Methods of implementation with direct observation, interview and training when the activity takes place. The results of this activity are: 1) the ability of teachers in using Microsoft application. 2) develop the ability of teachers in making the question of counting, 3) teachers can take advantage of information and communication technology in learning.
Phishing Attacks: Preying on Human Psychology to Beat the System and Developing Cybersecurity Protections to Reduce the Risks

The evolution of technology over the years has allowed people to more easily store, access, and share information on the Internet.Â  People can bank online, shop, and post their latest life news.Â  Unfortunately, all this available information has attracted the attention of cybercriminals who want to use this personal information for fraudulent purposes.Â  A common technique used by cybercriminals to obtain sensitive information is a scam called phishing.Â  Criminals pose as a trusted entity in order to trick victims into revealing sensitive information that they will later use to commit illegal money transfers, identity theft, or other fraud.Â  The consequences of phishing scams may lead to the loss of data, money, identity, reputation, and trust.Â  As a result, organizations and individuals need to familiarize themselves with the process of a phishing attack and how to protect their systems and information.Â  Organizations and individuals not only need the proper hardware and software to protect their information, but they also need to understand that cybercriminals prey on human psychology.Â  Cybercriminals often use social engineering tactics to persuade people to willingly share their personal information.Â  Therefore, cybersecurity policies and security prevention tips should address technical elements, as well as human behavioral factors that use the CIA (Confidentiality, Integrity, and Availability) model as a guide.
The use of mobile devices to improve the practice of scientific thinking and the scientific process

Much of what students learn in science is invisible, which means that theoretical scientific concepts underlying student understanding are often difficult to explain. Additionally, the data required to visualise these theoretical concepts are often difficult to collect as it requires specialised equipment and is time consuming. It is thus difficult to provide students with the hands-on experiences they require to master these concepts; this is a more fundamental problem in online-only courses. To solve this problem, I’ve created a library of mobile applications that engage students in scientific thinking while encouraging peer-to-peer social interactions. As they interact, these applications collect scientific data that allows students to quickly and accurately visualise the concepts they are learning. In this manner, students gain hand-on experiences through immersive situational learning, and gain novel insights into more difficult to understand theoretical concepts as they perform the behaviours associated with the data gathering. In other words, the library of mobile apps allows students to rapidly and accurately practice being scientists, allowing students to learn through lived experiences. Because the learning opportunities are digital, it means students in face-to-face and online learning environments have similar opportunities. I will discuss the outcomes of trials using these apps.
Analysis of Consumer Behavior in the Use of Online Shop with the Fuzzy Logic Tahani Method in Manado City Indonesia

This study aims to obtain information about online shopping models that are in demand by the public, especially those in the city of Manado.Analysis of consumer behavior becomes very important in efforts to develop an e-commerce model application for coconut-derived products.An effective and efficient e-commerce model can be developed for buyers and sellers.Referring to the Likert scale, the information obtained is analyzed using the Fuzzy Tahani method so that it can provide results that become a reference for the development of e-commerce services for coconut-derived products that can be developed for information technology-based smart services.
LibGuides: How Do I Find?: Industry Research@APUS

This guide provides an overview of how to conduct detailed industry researchers, primarily utilizing information resources from the APUS Library.
A Model for Human Activity Recognition in Ambient Assisted Living

This work presents a model for human activity recognition, through an IoT paradigm, using location and movement data, generated from an accelerometer. The activities of five individuals from different age groups were monitored, utilizing IoT devices, using the activities of four of these individuals to train the model and the activities of the remaining individual for test data. For the prediction of the activities, the Extra Trees algorithm was used, where the results of 81.16% accuracy were obtained when only movement data were used, 92.59% when using both movement and location data, and 97.56% when using movement data and synthetic location data.
Perancangan Client Server Three Tier Pada Pembangunan Web Service Anggota Perpustakaan Universitas Muhammadiyah Bengkulu

The design of the three-tier client server architecture is a further development than before that uses two tiers. The planning is the initial stage before the implementation of the system that is already running today. With this model it is expected that the application no longer need to be installed on every client but enough on the server only. Beside that, this model of server side application can be accessed by every client in various operating system infrastructure and hardware. The Library transaction service workload can be dispersed and no longer overlap at one work terminal only, but it can already be spread over other terminals, which is the benefit of this technology. The integrated information system between the academic information system and library information system makes the data more accurate and well distributed. The credibility and flexibility of data is maintained due to the synchronization between servers for data usage on the main server. This kind of model system development pattern makes integration between parts of an organization better. Three tiers have a database layer on server 1, the application layer on server 2, and Layer 3 is on the user side.
The Importance of Knowledge Base among Kindergartner Teachers on Language Structure in Teaching Reading Effectively

Reading plays a vital role in learning, and yet it is a common problem in many classrooms nowadays. Many researchers are looking for a solution to this problem. Various methods and strategies are needed to come to a solution. By then, the role of the teacher comes in; he will implement these methods and strategies intended for reading. As the teaching-learning process, still problem arises if the teacher has not had enough knowledge on how to effectively teach reading. This study was conducted to determine the knowledge base of kindergartner teachers of Language Structure in teaching reading effectively in the schools of Gitagum, Libertad and Initao, Misamis Oriental. This descriptive type of study involves thirty-three kindergartner teachers in the three municipalities of Misamis Oriental based on the District offices enrolment. The respondents were given a survey questionnaire to rate themselves on their level of knowledge on the basic components of reading and to test themselves on their knowledge and abilities on Language Structures. The data were analyzed using descriptive statistics like mean, percentage, and t-test. The results showed inconsistency in their level of knowledge, the outcome of the knowledge, and ability test. Hence, the kindergartner teachers still lack knowledge of language structure and require in-depth training and seminar-workshop.
The bubble funnel : A visualisation concept designed to increase understanding of user funnels

To understand user acquisition is of major importance for digital service providers. Drawing on a case study at Hedvig AB, this thesis presents how a user funnel can be visualised in, to my knowled ...
Visualizing Orientations of Large Numbers of Photographs

Digitized historical photographs are invaluable sources and key items for scholars in Cultural Heritage (CH) research. In addition to browsing online image collections using metadata, alternative ways of finding photographs are possible, by embedding the documents into spatial and temporal contexts to provide interactive access to these vast resources. Towards this goal, spatial properties of photographic items, i.e. position and orientation of the camera, can be automatically estimated using Structure from Motion (SfM) algorithms, even on historical photographs. In the talk we will introduce a web-based 4D browser environment that enables architectural historians to answer spatial research questions, such as "Which buildings were photographed more (or less) often than others", "From which directions has a point of interest been photographed?", "Is there one main preferred direction?" Existing methods to visualize spatial properties of images statistically are limited. Although traditional visualization methods - such as heat maps - can be used to show positional distribution of large numbers of images, it is still not widely explored how to visualize distributions of their orientations. We will discuss visualization techniques for interactively browsing spatialized photographs to gain knowledge from a combination of historical depictions of buildings and corresponding 3D models of historic cityscapes. We present first adaptations of visualization methods from other application domains that also address orientation, towards offering supporting tools to historians with corresponding spatial research questions. The introduced differentiation of occuring imaging phenomena can be used to evaluate the effectiveness of different visualization methods in empirical user studies.