Reviewerly/exHarmony huggingface dataset:
Dynamic Inference in Probabilistic Graphical Models

Probabilistic graphical models, such as Markov random fields (MRFs), are useful for describing high-dimensional distributions in terms of local dependence structures. The {probabilistic inference} is a fundamental problem related to graphical models, and sampling is a main approach for the problem. In this paper, we study probabilistic inference problems when the graphical model itself is changing dynamically with time. Such dynamic inference problems arise naturally in today’s application, e.g. multivariate time-series data analysis and practical learning procedures.We give a dynamic algorithm for sampling-based probabilistic inferences in MRFs, where each dynamic update can change the underlying graph and all parameters of the MRF simultaneously, as long as the total amount of changes is bounded. More precisely, suppose that the MRF has n variables and polylogarithmic-bounded maximum degree, and N(n) independent samples are sufficient for the inference for a polynomial function N(⋅). Our algorithm dynamically maintains an answer to the inference problem using O(n N(n)) space cost, and O(N(n) + n) incremental time cost upon each update to the MRF, as long as the Dobrushin-Shlosman condition is satisfied by the MRFs. This well-known condition has long been used for guaranteeing the efficiency of Markov chain Monte Carlo (MCMC) sampling in the traditional static setting. Compared to the static case, which requires Ω(n N(n)) time cost for redrawing all N(n) samples whenever the MRF changes, our dynamic algorithm gives a 𝛺^~(min{n, N(n)})-factor speedup. Our approach relies on a novel dynamic sampling technique, which transforms local Markov chains (a.k.a. single-site dynamics) to dynamic sampling algorithms, and an algorithmic Lipschitz condition that we establish for sampling from graphical models, namely, when the MRF changes by a small difference, samples can be modified to reflect the new distribution, with cost proportional to the difference on MRF.
A drone-projected image stabilization: consideration of tilt and scaling

In order to make a movable display projecting onto high-rise walls or arbitrary objects in physical space as a digital signage, a system, called a drone-projector, has been investigated with a beam projector mounted on a drone. The vibration during hovering caused by the motors of propellers in the drone brings distortion in the projected image. In this paper, we extend an existing sensor-based stabilization method by compensating different scaling of the projected image due to different distance of the drone-projector to the projected surface. Our experimental results show that the distortion of the projected image is made much attenuated by using the proposed stabilization method.
The Analysis on Blended Teaching Strategies in College English Listening Class

English listening plays a crucial role in learning English, so the new College English Curriculum Requirements attach great importance to college English teaching. Nowadays, with the development of multimedia technology and online teaching, college English teachers are trying to improve the English teaching mode to improve students' English learning ability from various aspects. Blended teaching is a new teaching method, which has a great effect on improving English listening. This paper mainly discusses the teaching strategies of blended teaching in college English listening courses, analyzes the current situation of blended teaching and college English listening courses, continuously optimizes college English listening classes and effectively improves students' English ability by using blended teaching strategies.
Prediction of Rupiah Exchange Rate against Australian Dollar using the Chen Fuzzy Time Series Method

The exchange rate of the Rupiah (IDR) to the Australian Dollar is the price of one Rupiah translated to the Australian Dollar. Weakening or decreasing prices of the Rupiah to the Australian Dollar are influenced by various factors, such as government policies and expectations. Therefore, the government or related parties must be careful in predicting the value of the Rupiah exchange rate to the currency of the state, such as the Australian Dollar. This report will discuss the prediction of the Rupiah exchange rate to the Australian Dollar for 223 days from December 2018 to July 2019 using the Chen fuzzy time series method. The results of this report are the prediction of the value of the exchange rate of the Rupiah to the Australian Dollar in December 2018 to July 2019 is be again in the interval 10,450 IDR to 10,920 IDR.
Using COVID19 as an Opportunity to Measure Seismic Silences and Bring Geoscience Projects to Students

&amp;lt;p&amp;gt;On 11 March 2020, the World Health Organization declared Covid19 a pandemic. Countries around the world rushed to declare various states of emergencies. Canada also implemented emergency measures to restrict the movements of people including the closure of borders, non-essential services, and schools and offices to slow the spread of Covid19. I used this opportunity to measure changes in seismic vibrations registered in Canada before, during, and after the lockdown due to the slowdown in transportation, economic, and construction activities. I analyzed continuous seismic data for 6 Canadian cities: Calgary and Edmonton (Alberta), Montreal (Quebec), Ottawa, and Toronto (Ontario), and Yellowknife (Northwest Territories). These cities represented the wide geographical spread of Canada. The source of data was seismic stations run by the Canadian National Seismograph Network (CNSN). Python and ObSpy libraries were used to convert raw data into probabilistic power spectral densities. The seismic vibrations in the PPSDs that fell between 4 Hz and 20 Hz were extracted and averaged for every two weeks period to determine the trend of seismic vibrations. The lockdown had an impact on seismic vibrations in almost all the cities I analyzed. The seismic vibrations decreased between 14% - 44% with the biggest decrease in Yellowknife in the Northwest Territories. In the 3 densely populated cities with a population of over 1 million - Toronto, Montreal, and Calgary, the vibrations dropped by over 30%.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To enable other students to undertake similar projects for their cities, I created a comprehensive online training module using Jupyter notebooks available on Github. Students can learn about seismic vibrations, how to obtain datasets, and analyze and interpret them using Python. They can share their findings with local policymakers so that they become aware of the effectiveness of the lockdown imposed and are better prepared for lockdowns in the future. When we make data and technology accessible, then lockdowns because of pandemics can be an opportunity for students to take up practical geoscience projects from home or virtual classrooms.&amp;lt;/p&amp;gt;
Aplikasi Mobile Berbasis Android untuk Media Promosi Shirouoshien

Promotion is an activity carried out by business owners in an effort to introduce and offer products and services offered to prospective buyers. Promotion can be carried out traditionally and digitally. Providing information and disseminating information on the promotion of a product or service is a necessity in an effort to expand the prey of the business market. The purpose of designing and building an Android-based Shirouoshien promotion application system is as one of the information media solutions that can be easily found in digital searches. The research method used by the waterfall method starts from data collection, system design, code generation, testing, and implementation. The conclusion of making this application is an android application can provide convenience in finding information digitally and one of the media that facilitates efforts to promote products and services offered by Shirouoshien.
LibGuides: Database & Book Catalog Instruction: CQ Researcher

Information about how to use the library databases and book catalog. How to use CQ Researcher
Distance learning: pros &amp; cons

Discussed is actual question about, how long distance learning has come to the Russian education system. Will this form of education become the main one in view of planning the federal project “Digital Educational Environment”? The results of the questionnaire of students on of their personal desire to switch to distance learning are considered. 59.87% of students do not want to switch to distance learning, 31.6% want to switch, 5.9% have not decided on the answer and 2.63% of students supported the joint use of traditional and distance forms of teaching. The positive and negative sides of distance learning from the point of view of the surveyed students are stated. Positive motives for the transition to distance learning were: the convenience of working on your computer; saving free time due to the time spent on the way to the university and back; more flexible study schedule; improving safety for one's health, improving the environment; students who live far from the university also noted the savings in money. Motives against the transition to distance learning were named: difficult perception of the material without live communication with teachers; an increase in the number of questions in comparison with regular training; disruption of some classes for technical reasons; lack of software on the home PC; non-compliance of the software on your computer with the requirements; an increase in the amount of time spent at the computer; some students cite the difficulty of self-organization at home as a reason. The attitude to distance learning of some government officials and the elite of the Russian state is shown. The negative influence on the creative component of the work of programmers in the remote mode is noted. The author of the article proposes to bring the issue of the large-scale introduction of distance learning planned in the government to a general wide discussion in order to prevent miscalculations in this very important issue and to choose a solution that is profitable at first, but incurring large losses in the future. The author notes a tendency for a more positive attitude of students towards distance learning compared to April and May 2020.
Image-assisted analysis of pathologist slide review as a means of informing optimal digital slide acquisition strategies

In digital pathology, the practice of scanning slides at a single resolution results in more data than is clinically useful. In contrast, using a light microscope, the pathologist adapts magnification according to specimen content. We developed a method of digitizing the analog microscope workflows of pathologists using a microscope camera and video mosaicking with the Scale Invariant Feature Transform (SIFT). Matching this digital record to the whole slide image generates a slide interaction map over time and magnification tiers. The results of the pilot studies suggest data size can be significantly reduced without diminishing the information content required for diagnosis.
Implementasi Metode Simple Additive Weighting (SAW) Pada Sistem Informasi Evaluasi Kinerja Guru (Studi Kasus SMK Utama Bandar Lampung)

AbstrakEducation in Indonesia continues to improve throughout the 21st century. This is none other than because of the continuous evaluation of the education system which provides information on the lack of educational gaps and their renewal. Therefore, SMK Utama Bandar Lampung is present in the middle of the community at very affordable costs and is supported by qualified teachers or teachers. Each teacher or teacher conducts a process of selecting the best teachers to get qualified teaching staff. However, data management management of the achievement of the question has not yet been implemented to produce the right decision. This is because it takes time to process the results of questions and in the process of determining teacher performance it is possible for errors to occur. Based on this description, SMK Utama Bandar Lampung requires a decision support system that is expected to find solutions in the process of determining the best teacher. Assessment of decision systems that can facilitate the process of processing data on teacher performance assessment results in SMK Utama Bandar Lampung. Therefore, the researcher proposes a decision support system software engineering using Simple Additive Weighting (SAW). This system can be used to make it easier for students to assess teachers at SMK Utama Bandar Lampung, to help schools, especially principals, in evaluating the shortcomings and strengths of teacher performance at SMK Utama Bandar Lampung.
An Application of Declarative Languages in Distributed Architectures: ASP and DALI Microservices

In this paper we introduce an approach to the possible adoption of Answer Set Programming (ASP) for the definition of microservices, which are a successful abstraction for designing distributed applications as suites of independently deployable interacting components.Such ASP-based components might be employed in distributed architectures related to Cloud Computing or to the Internet of Things (IoT), where the ASP microservices might be usefully coordinated with intelligent logic-based agents.We develop a case study where we consider ASP microservices in synergy with agents defined in DALI, a well-known logic-based agent-oriented programming language developed by our research group.
Creating a STEM Collaborative Learning Center: A Case Study

What happens when campus units come together to create both a shared physical space, and a shared mission space? This case study highlights a unique cross-campus partnership between the UCLA Science Libraries and two academic support programs to create a STEM Collaborative Learning Center. This space serves to help decrease achievement gaps in STEM courses through peer-to-peer active learning and collaborative study. The results of the collaboration have helped to promote student success, increase the value and visibility of the library, inform space design decisions, and innovate new ways campus partners can work together to achieve shared goals.
Management Policies for the Prevention Technique of Social Engineering (SoE) Attacks in the Organization

Information security in an organization will continue to face SoE attacking threat given the global paradigm in today’s digital economy. It is the responsibility of management to address the security issues by forming appropriate security policy for the prevention technique of SoE attacks in the organization. The matter of security implementation is complex and all stakeholders must be involved to understand and commit to the hierarchical relationship of the organization’s business objectives to its security policies down to procedures. Standards and guidelines must also be considered for their in security policy for the prevention technique of SoE attacks.
A fine-tuned feature descriptor for pedestrian action recognition in autonomous vehicles

The autonomous vehicle is the dream project of most of the majestic companies; however, providing a full-fledged autonomous vehicle is very complicated. In this paper, the pedestrian actions are captured using cameras and fine-tuned within a limited amount of time. Certain features of the captured video and their efficient feature descriptors achieve improved accuracy in pedestrian action recognition. The Skeleton based Spatio-Temporal Interest Points (S-STIP) feature is combined with the new interclass discriminative dictionaries. The sparse descriptor is constructed using sparse coding based on orthogonal matching pursuit algorithm and dictionary learning based on Efficient Block Coordinate Descent (EBCD) algorithm. Finally, the sparse descriptor is given as input to the SVM classifier for recognising pedestrian actions. The human action data sets KTH, Weizmann and JAAD are used for experimentation, and the combination of the S-STIP feature and the enhanced sparse descriptor achieves better performance compared to other existing action recognition methods.
Development of professional competence of the teacher

The teacher is a competent reactivist qualitatively organized emulation of the providing factor qualitatively. It becomes important to learn what criteria the teacher competency is determined by in this case. School surface behavior, the psychologist-pedagogical staff and organization of technologies of expertise, using profession competent jurisdiction. This potential can be determined by the state and effectiveness of the pedagogical processes organized by the teachers of the educational institution, taking into account the peculiarities of the process of pedagogical activity.
Hiding information in images using pseudo-random sequences

In this article are discussed techniques of hiding information messages in cover image using direct spectrum spreading technology. This technology is based on the use of poorly correlated pseudorandom (noise) sequences. Modulating the information data with such signals, the message is presented as a noise-like form, which makes it very difficult to detect. Hiding means adding a modulated message to the cover image. If this image is interpreted as noise on the communication channel, then the task of hiding user’s data is equivalent to transmitting a noise-like modulated message on the noise communication channel. At the same it is supposed that noise-like signals are poorly correlated both with each other and with the cover image (or its fragment). However, the latter assumption may not be fulfilled because a realistic image is not an implementation of a random process; its pixels have a strong correlation. Obviously, the selection of pseudo-random spreading signals must take this feature into account. We are investigating various ways of formation spreading sequences while assessing Bit Error Rate (BER) of information data as well as cover image distortion by mean squared error (MSE) and by Peak signal-to-noise ratio (PSNR). The obtained experimental dependencies clearly confirm the advantage of using Walsh sequences. During the research, the lowest BER values were obtained. Even at low values of the signal power of the spreading sequences (P≈5), the BER value, in most cases, did not exceed 0,01. This is the best result of all the sequences under consideration in this work. The values of PSNR when using orthogonal Walsh sequences are, in most cases, comparable to other considered options. However, for a fixed value of PSNR, using the Walsh transform results in significantly lower BER values. It is noted that a promising direction is the use of adaptively generated discrete sequences. So, for example, if the rule for generating expanding signals takes into account the statistical properties of the container, then you can significantly reduce the value of BER. Also, another useful result could be increasing PSNR at a fixed (given) value of BER. The purpose of our work is to justify the choice of extending sequences to reduce BER and MSE (increase PSNR).
The Effect of a Learning Environment Based on Global Education on Promoting Critical Literacy for IUG English Language Juniors

The purpose of this study was to investigate the effectiveness of using a learning environment based on global education on promoting the juniors' critical literacy in the Islamic University of Gaza who enrolled in the Academic Reading course and majoring in English language at the academic year 2019-2020. Following ADDIE Modal, the researchers designed a hybrid learning environment consisting firstly of a textbook that involved controversial issues and designed at a specific pattern and enriched with a plenty of activities. The second part of the environment is the use of Google Classroom as an electronic platform to enhance the acquisition of the critical literacy skills in the experiment. The third part of the environment is the evaluation system as the researchers used a debate along with an analytical test. The researcher adopted a quasi-experimental approach with one group design. The results of the study demonstrated that the learning environment in dealing with controversial issues was effective in promoting critical literacy skills for juniors. In addition, the study findings revealed that there were statistically significant differences between the pre and posttest in favor of the posttest. From the results, the researchers concluded that global education is an appropriate approach in promoting critical literacy as they share some common principles and goals.
Analisis Penguasaan Materi Teori Akuntansi pada Mahasiswa Pendidikan Akuntansi Angkatan 2016/2017 Ditinjau dari Kemandirian Belajar dan Penggunaan Media Informasi Internet Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Surakarta

The study aimed to determine the effect of independent learning and the use of information media in mastering accounting theoryof accounting education students’ class of 2016/2017. This research used a quantitative approach and survey as the type of research. The population in this study were students of the Accounting Study Program Class of 2016/2017 Muhammadiyah University of Surakartawho took accounting theory courses totalling 312 students with the population of 175 people and 114 samples. This study usedprobability sampling as the sampling technique with proportional random sampling technique. The data collection technique used a questionnaire that has been tested for validity, reliability, and documentation. The data analysis techniques used were multiple regression analysis, t test, F test, R2 test, relative contribution, and effective contribution. The regression analysis obtained Y= 2,318+0,724X1+0,531X2. The conclusions were: 1) independent learning contributed to a positive effect in mastering accounting theory, 2) the use of information media provided a positive effect in mastering accounting theory, 3) independent learning and the use of information media gave a positive effect in mastering accounting theory.Based on the simultaneous test (F test) results, Fcount>Ftable (28.450> 3.09) and a significant value ofFcountwas 0.000 <0.05. The coefficient of determination (R2) of 0.339 or 33.9% with an effective contribution (SE) denoted the magnitude influence of independent learning by 20,33% and the use of information media by 13.64%. It implies that 64.1% variants of the dependent variable are explained by other factors that are not discussed in this study.