Reviewerly/exHarmony huggingface dataset:
Model-based reinforcement learning for cooperative multi-agent planning: exploiting hierarchies, bias, and temporal sampling

Author(s): Ma, Aaron | Advisor(s): Cortes, Jorge | Abstract: Autonomous unmanned vehicles (UxVs) can be useful in many scenarios including disaster relief, production and manufacturing, as well as carrying out Naval missions such as surveillance, mapping of unknown regions and pursuit of other hostile vehicles. When considering these scenarios, one of the most difficult challenges is determining which actions or tasks the vehicles should take in order to most efficiently satisfy the objectives. This challenge becomes more difficult with the inclusion of multiple vehicles, because the action and state space scale exponentially with the number of agents. Many planning algorithms suffer from the curse of dimensionality as more agents are included, sampling for suitable actions in the joint action space becomes infeasible within a reasonable amount of time. To enable autonomy, methods that can be applied to a variety of scenarios are invaluable because they reduce human involvement and time. Recently, advances in technology enable algorithms that require more computational power to be effective but work in broader frameworks. We offer three main approaches to multi-agent planning which are all inspired by model-based reinforcement learning. First, we address the curse of dimensionality and investigate how to spatially reduce the state space of massive environments where agents are deployed. We do this in a hierarchical fashion by searching subspaces of the environment, called sub-environments, and creating plans to optimally take actions in those sub-environments. Next, we utilize game-theoretic techniques paired with simulated annealing as an approach for agent cooperation when planning in a finite time horizon. One problem with this approach is that agents are capable of breaking promises with other agents right before execution. To address this, we propose several variations that discourage agents from changing plans in the near future and encourages joint planning in the long term. Lastly, we propose a tree-search algorithm that is aided by a convolutional neural network. The convolutional neural network takes advantage of spatial features that are natural in UxV deployment and offers recommendations for action selection during tree search. In addition, we propose some design features for the tree search that target multi-agent deployment applications.
Development of a GIS-based multiprocessing modelling approach for assessing the wind and solar potential in Mongolia

Despite the vast wind and solar energy potential, Mongolia is still highly depended on coal-fired electricity generation. At the same time, the pressure on Governments is increased due to the urgen ...
LibGuides: Remote Research and Dance: E-Books

This guide brings together the varied resources available to our patrons while conducting their research remotely.
PENGEMBANGAN LKPD MEMAHAMI TEKS CERPEN BERBASIS DISCOVERY LEARNING UNTUK SISWA KELAS IX SMP

The problem in this study is the development of products in the form of teaching materials LKPD understanding short story text base d on the discovery learning for the IX grade students of junior high school. The purpose of this study is to produce teaching  materials LKPD understanding short story text base d on the discovery learning  for the IX grade students of junior high school. This research uses research and development (rnd) method. The result of this study is the creation of a teaching materials LKPD product understanding short story text base d on the discovery learning for the IX grade students of junior high school has been validated. Validation is conducted by expert lecturers and practitioner s to test the feasibility of the product. The result of the validation is from expert lecturers and practitioner s obtained an average percentage of 83% with decent criteria. Masalah dalam penelitian ini adalah bagaimana pengembangan bahan ajar LKPD memahami teks cerpen berbasis discovery learning untuk siswa kelas IX SMP. Tujuan penelitian ini untuk mendeskripsikan pengembangan bahan ajar LKPD memahami teks cerpen berbasis discovery learning untuk siswa kelas IX SMP. Penelitian ini menggunakan metode research and development (rnd ).Hasil penelitian ini ialah terciptanya produk LKPD memahami teks cerpen berbasis dicovery learning untuk siswa kelas IX SMP yang sudah divalidasi.Validasi dilakukan oleh dosen ahli dan praktisi untuk menguji kelayakan produk.Hasil validasi dari ahli dan praktisi diperoleh rata-rata persentase 83% dengan kriteria layak. Keywords : teaching materials LKPD , discovery learning, short story text.
LibGuides: IUN Virtual Library for Faculty: Virtual Reference

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction. How to get in contact with a reference librarian online
Efficient Enclave Communication through Shared Memory : A case study of Intel SGX enabled Open vSwitch

Open vSwitch is a virtual network switch commonly used to forward network packages between virtual machines. The switch routes network packets based on a set of flow rules stored in its flow tables ...
METODE EURISTICE ȘI METODE DE ÎNVĂȚARE PRIN DESCOPERIRE

The article describes the essence of learning through discovery and the use of new teaching methodologies in the study of mathematics. The increasing role of mathematical science and computer science in the contemporary civilization is accompanied by an unprecedented development of scientific education, becoming the main purpose of the professional formation of today's younger generations.
LibGuides: Time Management: Quick resources (5-10 mins)

Our top tips for getting organised, beating procrastination and effectively managing your time at university.
Electoral databases: good or bad for democracy? A lesson from political marketing – The New Federalist

Anna Ferrari discusses the impacts of targeted political campaigning on democracy and privacy.
Cuidar - aplicativo para auxílio a cuidadores de pessoas portadoras de doenças crônicas não transmissíveis.

According to the World Health Organization (WHO) High-Level Independent Commission, Chronic Noncommunicable Diseases are the leading causes of death and disability in the world, support from family and society is essential for overcoming and control of CNCDs. And so many families turn to professional caregivers or some family member who plays that role, to bring comfort to patient care. The purpose of this paper is to provide a tool to assist the caregiver to exercise his position accurately through mobile devices. Medications when not administered correctly can cause great harm to the patient, since each substance has an adequate time to act in the body, its effectiveness depends on the times each one is given. Due to the increased use of smartphones and the advancement of technology this task becomes simpler and more efficient. A prototype was tested by two carers and a responsible family member who evaluated the tool positively, mainly in relation to its applicability and usability.
A Novel Spatial Domain Based Steganography Scheme Against Digital Image Compression

Spatial domain based steganography is well-known for its high embedding capacity, implement simplicity and computational complexity. However, it is vulnerable against digital image compression. In this paper, a robust spatial data hiding scheme is proposed by quantifying certain pixels with given integer as quantization value. In addition, inspired by reversible data hiding approach, a post-process aimed at recovering stego image is proposed as well. Experimental results show that, when applying various JPEG/JPEG2000 compression, bit error rate (BER) of extracted secret data is controllable which can be revised by error correcting code, moreover PSNR of recovered stego image maintains greater than 35 dB, which is fairly acceptable in human vision system.
Criminal investigation tracker and suspect prediction

Whenever a case against the crime is filed the investigation always starts from the scratch right away from the evidences found at the crime location and the eye witnesses present at the crime location. On the basis of the statement given by the eye witnesses about the crime and the criminal who committed that crime. The process of the investigations starts. As to reduce the stress of the police officers we implemented a system as criminal investigation tracker with suspect prediction that will help the officers to speed up the process of investigation and track status of ongoing case by predicting out the primary suspects on the basis of the records which consists of compendium of the people associated to the case, former criminal background proofs recovered from crime location, etc. This digitized system makes the work easy for an officer to check the status of the case online and even allows him to add up the new important information related to the case as it’s when needed. The proposed system consists of suspect prediction algorithm to predict and suggest the suspects in the logical order.
The Impact of Big Deal Breaks on Library Consortia: An Exploratory Case Study

This study examines the impact of Big Deal breaks on statewide resource sharing. An analysis within VIVA (Virginia’s academic library consortium) for Big Deal publishers showed significant lending of one publisher with low levels of statewide holdings. A closer examination of an individual institution with the most recent cancellations of this publisher’s content showed high levels of fulfillment from lending partners outside the consortium. As more groups cancel Big Deals, consideration for alternative access will be increasingly important, and understanding the resource sharing environment should inform a cooperative approach to journal acquisitions in order to minimize negative impacts on researchers.
Environmental and anthropogenic sources of seismic signals: Non-seismic seismics

Meteorological-Geophysical Colloquium lecture series of the Department of Meteorology and geophysics. Universidad de Viena.
Hand Tracking Accuracy Enhancement by Data Fusion Using Leap Motion and MYO

In this paper, two methods for hand tracking and and online hand guesture identification is proposed by using the combination of Leap Motion and MYO armband. With the proposed methods, We have improved the measurement accuracy of the palm direction and solved the problem of insufficient accuracy when the palm are at the limit of the measurment range. We use the Kalman filter algorithm and the neural network classification method to process and analyze the data measured by Leap Motion and MYO, so that the tracking of the operator's hand gesture is more accurate and robust even when the hand is at positions close to the measurement limit of one single sensor. The improved hand tracking method can be used for robotic control, teaching by demonstration or teleoperation. The effectiveness of the proposed methods have been demonstrated through comparative experiments.
Productive Data integration in Web data Mining Using Contingency Approach

We are living in the extended digital era in which the digital data is emphasized with heavy impact on every component in our activities. Each activity or event has its own set of data stored, accessed and manipulated in the web servers, the process of accessing the web data is slowly categorized itself into several entities. Different servers hold its own way of storing information's the users who require the flexibility in accessing the individual server is easy but the way of getting an integrated data from multiple servers are difficult due to its heterogeneous nature of different formats ,type, patterns, techniques and accessibility features. Web data integration is an important role in our modern digital era for its time and space complexity effectiveness. The process of integrating web data is a complex process due to its variety, value and velocity which extends the tediousness in productive or qualitative data integration based on user requirement is essential for effective web data accessibility and usage. This paper deals with the productive web data integration using contingency approach for effective web data integration. In near future we will implement the advanced neural network based web data integrity for optimal productive data integration in web data mining.
LibGuides: Faculty Online Teaching Resources: Vetted Websites

During the COVID-19 Closure, this guide will offer some links to online resources The library Pinterest boards with vetted websites
REVIEW OF THE ELEMENTS INFLUENCING JOB SATISFACTION ON JOB PERFORMANCE, WITH QUALITY OF WORK LIFE AS MEDIATING IN THE JORDANIAN HOTEL INDUSTRY

The hotel industry is a major pillar of tourism because of the services it provides in the field of the national economy, as a result of the funds it pumps, and as a means of obtaining the foreign currency necessary to implement the comprehensive development plans in the countries of the world. This paper aims to examine the factors influencing the job performance of the Jordanian hotel industry. This study relied on the theoretical approach by reviewing the theoretical literature and previous studies related to the variables of the study. A survey of previous studies and theories related to the subject of the study was conducted. Many factors have been disregarded in numerous writing in light of job satisfaction and job performance, and in view of the survey discoveries; there is a positive connection between organisation structure, leadership style, job satisfaction, quality of work-life, and job performance. The present paper proposed to the hotel industry to the firm-up interconnection between job satisfaction, quality of work-life, and job performance. It similarly enumerated equally theoretical and practical ramifications based on earlier writing and suggested future studies to concentrate more on the factors affecting job performance in Jordanian hotels.
LibGuides: Educational Tools for Your Classroom: Web Annotation

This guide offers a list of free resources that can be used by professors in their classrooms and by students when creating their assignments
Designing a Software System to Improve Employee Motivation Through Behavior Change

Due to unique circumstances, Japan is facing world leading rates of employee dissatisfaction. This trend in turn has had a ripple effect causing many other aspects of employee’s lives to be effecte ...
Geoscience for Sustainable Development; the next decade

The 1992 UNCED Conference in Rio de Janeiro has changed the world. Now almost all countries on Earth officially pledge concern for the environment. Many supra-national and national organisations have been reorganised and now more or less centre on the principles ‘Environment and Sustainable Development’. Concurrently, very substantial budgets for research flowed towards environmental issues. Geoscientists entered this field relatively late but geological surveys and geoscientific research institutes are well underway to play their role now. This paper discusses their role against the background of the main issues in ‘sustainable development’ as foreseen for the next 10 years. These include water, soil, poverty alleviation, urbanisation, waste disposal, energy, minerals, disaster reduction and education. A few examples: geoscientists can identify new, deep-seated and remote freshwater aquifers, predict subsurface contamination paths and suggest appropriate measures to prevent further groundwater pollution; they can assess which fertile land areas may be threatened by fluvial and coastal erosion, by desertification and salinisation and apply the outcomes of simulation models to mitigate or to prevent future soil loss. They can help alleviate poverty, alert municipal authorities of destabilising cities, they can find the safest sites for storage of hazardous waste, they can assist in optimally exploiting depleting energy resources, they can assist in environmentally sustainable and economically profitable mining, they can predict, mitigate or prevent natural and man-induced hazards, and they can contribute to change the current educational system into a more integrated one. Although earth scientists cannot prevent all the world’s major problems, their advanced technologies can certainly contribute to solving many of society’s problems, especially those involving physical dimensions.
PENGARUH PENGGUNAAN MEDIA GAMBAR DALAM PEMBELAJARAN SEJARAH

Social science is one of the subjects given at the level of primary and secondary education, and one of the studies of social science taught is history, but in reality students actually do not like the subject of social science because it is synonymous with memorization so it feels boring and lazy to learn it, it is recorded in the history of learning that has a lot of material discussed about the past. To create a quality and enjoyable learning process, the teacher must be innovative in learning, one of which is learning using picture media. The method of data collection used is through library study techniques or library studies obtained through various sources from books and journals. This scientific paper was made to find out how the influence of the use of picture media in historical learning on student learning outcomes.
The Advancement of Demographics Learning Tools

This study is aimed at producing a learning tools to a lecturing program in form of: lectures unit (SAP), Lecturing Text Books (BTPM), and Demography lecturing attendant activity sheet (LKPDM), and the ability assessment of attendant program (PKHPM) it is all in order to ensure demography subject be more valid, practical, and effective with in a learning model aided with Think, Pair and Share (TPS) and data based.The teaching material matter to Demography Techniques subject to develop such as; Introduction, base source of statistics, collecting and data processing of demographic, size population, population distribution of geographic region, population distribution of geographic area, the age composition and gender, composition of race and ethnic, change of population, education and characteristics of economic, mortality, life table, demography of health, birth-rate bases to census and survey, population growth, international migration, internal migration and short-time mobility, and population forecast.The process how to implement perhaps prepare an attending tools component either: to plan an attendant unit (SAP), attendance book of demographic (BBKD), and attendance activity sheet (LKPM), and ability test of Demographic study (TKHPD), and ability assessment of attendant program (PKHPM) to be distributed over all Lecturers Team on Mathematics Department of FMIPA Unimed.
LibGuides: Virtual Library Services During Emergency Campus Closure: Resources for Faculty

Due to the current COVID19 / Coronavirus-related emergency campus shutdown, the library has put together this special guide to virtual library services.
LibGuides: Dual Credit/Dual Enrollment Students:: Library Resources & Services Overview

Welcome to the DSU Library Dual Credit/Dual Enrollment Research Guide! Check out this page to find books related to APA citation.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE TALKING CHIPS TERHADAP AKTIVITAS BELAJAR SISWA PADA MATA PELAJARAN EKONOMI DI SEKOLAH MENENGAH ATAS NEGERI 2 TAMBANG

Abstract This study aims to determine the significant influence on the Talking Chip Type Cooperative Learning Model Against Student Learning Activities in the State 2 Mine High School, this research is motivated by students who still do not want to ask questions. There are still students who do not dare to express their opinions to the teacher or the theme, some students are less responsible for group learning. This research is a Quasi Experiment research. The form of design used in this study is Posttest-Only Design With Nonequivalent Group. The subjects in this study were students of class X IPS of State High School 2 Mine while the objects in this study were the Cooperative Learning Type Talking Chips Model for the learning activities of X IPS students in the State High  School 2 Mine. Data is collected using observation. The documentation and data analysis techniques used are the normality test and homogeneity test using the SPSS program. the calculated value of tcount is 7.411 with the level of Sig. (2-tailed) is 0,000 with df = n-1 = 32-1 so that the value of ttable = 2.43 at a significant level α = 0.05 or 5% is received or the proposed hypothesis is accepted by obtaining the value tcount> ttable or 7.411 ˃ 2, 43. Keywords : Talking Chips, Learning Activities
Zhao-Papachristos-Appendix-Annals-687-SAGE – Supplemental material for Network Position and Police Who Shoot

Supplemental material, Zhao-Papachristos-Appendix-Annals-687-SAGE for Network Position and Police Who Shoot by Linda Zhao and Andrew V. Papachristos in The ANNALS of the American Academy of Political and Social Science
Machine Learning analysis of text in a Clinical Decision Support System

Nurses at the Uppsala Emergency Medical Dispatch Center uses a computerized dispatcher system to prioritize patients calling the emergency number (112). The dispatchers at the emergency dispatcher ...
THE PEDAGOGICAL CASE AS A MEANS OF THE DEVELOPMENT OF CRITICAL THINKING OF FUTURE TEACHERS

Training of a highly qualified specialist, able to professionally apply in practice modern pedagogical forms, methods and techniques based on the formed competences and abilities, as well as his own readiness to solve actual problems of pedagogical science and educational practice, should be due to such methods and technologies that will ensure the educational process higher education, including active, or as they are called interactive, teaching methods. Their essence lies in the organization of interaction-based learning, dialogue, during which students learn to think critically, group into groups to share experiences and solve complex practical problems based on the analysis of circumstances and information provided, take into account alternative points of view, take responsibility , make thoughtful decisions, refocus knowledge-retransmitters on tutors, facilitators, supervisors, coaches, and passive students to active participants in the educational process. These include case-study (translated from English - the method of situation analysis). The training case is a description of the real situation; events that have taken place in a particular field and are described by the author in order to provoke discussion in a teaching audience, stimulate students to thorough analysis, productive discussion and decision making. The case should be considered as the only information complex that allows the student to fully understand the situation. The essence and historical dimension of case-study technology are covered in the article; the possibilities of its introduction into the educational process of preparation of masters in the specialty "011 Educational, pedagogical sciences" are outlined; the works of domestic and foreign scientists, teacher-practitioners on the use of educational cases in the practice of teacher training are analyzed; an example of a pedagogical case and an algorithm of work with him by a teacher and students during a practical lesson are offered.
Book review: behind the screen: content moderation in the shadows of social media by Sarah T. Roberts

In Behind the Screen: Content Moderation in the Shadows of Social Media, Sarah T. Roberts explores the work conditions and experiences of people employed in ‘commercial content moderation’, drawing on interviews with those tasked with detecting and removing harmful and upsetting online content. As the problems faced by CCM workers reveal the economic, social and political distortions of the digital age, this book will be of interest to social science researchers as well as anyone who is a user of social media, writes H. Guney Akgul.