Reviewerly/exHarmony huggingface dataset:
Using a smart phone to learn Spanish: Does it work and will students use it?

Over time, mobile devices have penetrated the classroom, requiring new and beneficial ways to implement classroom instruction. Research suggests that Short Message Service (SMS) based instruction is an effective tool for acquiring second language (L2) vocabulary and idiom knowledge (Hayati, Jalilifar, & Mashhadi; Lu,). Additionally, studies have found that students believe that mobile learning (m-learning) is beneficial to acquiring a second language (Cavus & Ibrahim; Hayati, Jalilifar, & Mashhadi; Lu, 2008). This study examined whether m-learning can lead to Spanish vocabulary familiarity and if sentence comprehension outperforms reading definitions. Participants were 29 native English speakers studying Spanish as a second language at the intermediate level. Learners received definitions of Spanish words in Spanish and sentences in Spanish on their mobile devices through a popular messaging application. The results demonstrate that vocabulary familiarity significantly improved and participants overall had a positive perception of m-learning. Our discussion explores the implications for classroom and mobile second language teaching.
A Survey Report on the Functional Motivation of College Students’ Voluntary Service Behavior

College students; Voluntary Service Behavior; Functional Motivation
A Lower Bound for the Sample Complexity of Inverse Reinforcement Learning

Inverse reinforcement learning (IRL) is the task of finding a reward function that generates a desired optimal policy for a given Markov Decision Process (MDP). This paper develops an information-theoretic lower bound for the sample complexity of the finite state, finite action IRL problem. A geometric construction of $β$-strict separable IRL problems using spherical codes is considered. Properties of the ensemble size as well as the Kullback-Leibler divergence between the generated trajectories are derived. The resulting ensemble is then used along with Fano's inequality to derive a sample complexity lower bound of $O(n \log n)$, where $n$ is the number of states in the MDP.
Ultimate two-dimensional media and evolution of advanced immersive sensory media

Japan Broadcasting Corporation (NHK) Science &amp; Technology Research Laboratories (STRL) has long been consistently opening up new horizons for broadcasting. Its recent R&amp;D on 8K ultra-high-definition television―the ultimate two-dimensional television―came to fruition as a regular satellite broadcasting service in Japan in December 2018, with 8K gradually penetrating media and other industries globally. The 8K specifications were determined based on psychophysical experiments to effectively produce an immersive and realistic experience with a two-dimensional screen. STRL is continuing to enhance user experiences. Aside from two-dimensional displays, today there are media devices such as head-mounted displays, augmented reality glasses, three-dimensional displays, and haptic devices. STRL is researching these devices to enhance their performance from the perspective of visual psychology and cognitive science. It is also developing three-dimensional information processing technologies and artificial intelligence aiming for new content presentations with new immersive devices. Conveying sensations other than sight and sound will create innovative sensory experiences that provide unprecedented immersion. A new media scheme that utilizes various delivery platforms such as broadcasting, the internet, and 5G is also being studied to produce new viewing experiences.
AUTOMATED FACE DETECTION AND TRACKING FACIAL FEATURES IN VIDEOS

In our paper we propose efficient face detection and tracking system that utilizes facial landmark features as key features of the face implemented in KLT algorithm.Sequences Video Frames gives us more information than a single image.Automated detection and tracking of a face using key feature extractors (points) play a significant role in vast variety of applications including Human action recognition, Automated Surveillance system, and human computer interaction.In our methodology, we have developed simple face detection and tracking system by splitting the tracking method in to three parts.1) Detecting a face, 2) identify facial features for tracking, 3) Track the face.Detecting the face is implemented using Viola Jones object detector, and tracking is done by KLT algorithm.Investigated results shows that our system is more robust and efficient in processing the video frames to various kinds of face rotations and occlusions.
PENINGKATAN KEMAMPUAN MEMBACA PERMULAAN DENGAN KERETA KARDUS PADA SISWA KELAS I SDN 67 BANDA ACEH

The study aims to improve the ability to read at the beginning of class I students of Public Elementary School 67 in Banda Aceh. This research is classroom action research (PTK) which consists of two cycles, each cycle consisting of three meetings and each meeting consists of four stages, namely planning, implementation, observation, and reflection. The subjects of this study were class I students of Public Elementary School 67 in Banda Aceh with a total of 28 students. This research was conducted in the odd semester (I) 2018/2019 academic year. Through the use of cardboard, train props can improve the ability to read the beginning of namely pre-cycle students who complete learning as much as 14 (50%) of 28 total students, then increase in the first cycle to 61% and in cycle II increased to 85% means that the level of students' abilities in reading beginning learners Pilot class I Public Elementary School 67 in Banda Aceh experienced increase a significant of pre-cycle up to the second cycle.
LibGuides: Weather & Natural Disaster Resources: Internet Safety

This guide provides resources for students, parents and teachers to research different types of weather and natural disasters.
SISTEM PAKAR PEMILIHAN SEPEDA MOTOR HONDA MENGGUNAKAN METODE FORWARD CHAINING

This research is based on the problem of many new motorbike buyers who have troubles choosing which motorbike is suitable for their needs because of the amount of choices available. The result of this research is hoped to be able to help the new customers to decide on which motorbike is suitable for them in term of usage and price point by helping them to analyze their needs. This system uses Forward Chaining method which is a method where we processes the facts to provide hypothesis. This system is created using C# programming language for server side, ASP.NET for client side and SQL Server for database. The result of this system shows that it is able to help new customers on deciding which motorbike to purchase. The conclusion is new customers are able to ask for help from the system which is same as asking for the experts for help to decide on which motorbike to buy.
Pragmatic Analysis Of Hate Speech In Social Media As Response To Prince Charles And Camilla's Past Relationship

Speaking is a communication way with some purposes. The aim of speaking is to express people’s idea, to praise someone or something, or to break people’s heart. Breaking people’s heart is called hate speech. It can be insulting, insinuating, or mocking to someone who gets the negative effect. The aim of this research is to describe the type of hate speech and to clarify the intention of the hate utterance. This research is qualitative research. The research object is the hate speech by the social media user addresses to Prince Charles and Camilla Parker. The data source is the comments by the social media user in the visual tabloid on social media. The data is the the comments that contain hate speech by the social media user. The techniques of data analysis in this research are used Mondal et al theory (2017) in describing the type of hate speech and Kreidrel Theory (2002) in clarifying the intention of the hate utterance. The results of this research are (1) there are eight types of hate speech from the highest range to the lowest range, such as behavior, gender, physical, class, disability, religion, race, and ethnicity. (2) There are five intentions by the social media user from the highest range to the lowest range, such as mocking, insulting, insinuating, accusing, and blaming.
An Analysis of Teacher’s Strategies in Teaching Speaking

The objectives of the research were to find out the strategies used by teachers in teaching speaking at SMAN 5 Kota Bengkulu and to describe how the teachers implement the strategies in the teaching process. This research was descriptive qualitative. The subjects were two English teachers who taught at tenth grade. The data were collected by using field notes and video documentation and were analyzed by using four procedures by Miles and Huberman namely data collection, data reduction, displaying data, and conclusion. The results showed that teacher 1 used seven strategies from twelve speaking strategies and teacher 2 used eight speaking strategies. The strategies used were Task Completion (50%), Opinion Sharing (83.3%), Information Transfer (16.6%), Reasoning Gap (33.3%), Questioning (100%), Brainstorming (33.3%), Scaffolding (100%), and Drilling (66.6%). Meanwhile, the other four speaking strategies were not used such as Information Gap, Jigsaw, Information Gathering, and Role Play. For the implementation, the teachers gave explanation and instruction to the students before applying the strategy. The teachers asked the students to work in pairs or groups which made them to communicate in English. In short, although the name of the strategy used by teachers was similar to each other, but the steps or ways carried out by them was different from one teaching to another. Furthermore, the teachers applied the strategies based on students’ condition, need, and material in order to help students become more active in the process of teaching and learning.
Copyright Protection for Algorithm Products?

A portrait of a somewhat pale-looking man painted in a style of an artist dead for over 340 years now: “The Next Rembrandt” is an incredibly realistic 3D print work created in 2016 based on data mined from 346 original Rembrandt paintings via algorithm. When the line between man and machine blurs, our existing laws governing inherent anthropocentric rights reach their limits of adequacy — such as copyright protections. Are such algorithm generated works copyright protected and shall they be copyright protected? Do we need to change copyright to protect them? The paper proposes a phase model for copyright protection of such algorithm products de lege lata and a new neighboring right de lege ferenda.
Access to the Archive - Index to the AMA archive

Access to the Archive - Index to the AMA archive - NAME is a biographical, bibliographical and archival database of SUBJECT with links to related articles and images. ADD MORE DESCRIPTION AS REQUIRED
Eksplorasi Kualitas Dan Kelayakan Penyajian Teks Berita Media Massa Pada Buku Teks Bahasa Indonesia Sma Sebagai Media Pembelajaran Siswa

The objectives to be achieved in this study include three things. One knows the typography and graphic text news in the mass media used in textbooks as Indonesian language learning material in high school? Two know the description of the strengths and weaknesses of the message content in the news text that is used as a medium for learning Indonesian in high school? Three knowing the description of the feasibility of using news texts in textbooks in learning Indonesian in high school?The method of data analysis uses descriptive qualitative methods. (a) The translational equivalent method is used for typographic and graphic text news analysis, (b) The translational and equivalent referential method for analyzing the advantages and disadvantages of the message content form in the news text, (c) Expert triangulation techniques for analyzing the feasibility of using alternative news texts in learning media.From 1-18 data, there are 8 data that have graphic elements, namely data 2, 3, 4, 5, 6, 9, 11, and 15. The graphics in the test are in the form of images that can provide a stimulus or stimulus for readers to understand the text. complete news. The 10 data includes data 1, 7, 8, 10, 12, 13, 14, 16, 17, and 18 which are not supported by graphic elements (supporting images) so that they can cause boredom in students in reading text. The discussion based on typography is based on the completeness of the news elements, there are 12 data that have fulfilled the news elements including data, 1, 3, 5, 6, 7, 8, 9, 11, 12, 14, 15, and 18. complete. incomplete information. As for data 2, 4, 10, 13, 16, and 17, there are several unfulfilled elements.From data analysis 1 - 18 using fry chart calculations it can be concluded that the data 3, 4, 5, 8, 12 and 14 are in accordance with what students need. As for data 1, 2, 6, 7, 9, 10, 11, 13, 15, 16, 17, and 18, the readability does not correspond to the level of use. Data 1, 2, 6, 7, and 9 have low readability, the text is not suitable for use at the user level class. The data 3, 4, 5 and 8 have high readability values suitable for use for students above high school. Data 10, 11, and 13 have low readability, the text is suitable for classes under SMA. The data 15, 16, 17, and 18 have high readability scores suitable for use for students above high school.Data 1-18 eligibility requirements based on KD are feasible or appropriate. Then for the novelty elements of the data text 1, 2, 4, 7, 8, 10,11, 12, 13, 14, 15, 16, 17, and 18, it has fulfilled the newness of the information. As for data 3, 5, 6, and 9 not yet fulfilled because the data is more than an old event.
Communication-efficient Byzantine-robust distributed learning with statistical guarantee

Communication efficiency and robustness are two major issues in modern distributed learning framework. This is due to the practical situations where some computing nodes may have limited communication power or may behave adversarial behaviors. To address the two issues simultaneously, this paper develops two communication-efficient and robust distributed learning algorithms for convex problems. Our motivation is based on surrogate likelihood framework and the median and trimmed mean operations. Particularly, the proposed algorithms are provably robust against Byzantine failures, and also achieve optimal statistical rates for strong convex losses and convex (non-smooth) penalties. For typical statistical models such as generalized linear models, our results show that statistical errors dominate optimization errors in finite iterations. Simulated and real data experiments are conducted to demonstrate the numerical performance of our algorithms.
Fault-tolerant quantum computing with photonics

General purpose quantum computers will utilize millions of physical qubits, thus requiring an underlying qubit technology that can be manufactured at scale. Integrated silicon photonics is an intrinsically scalable and manufacturable platform where all necessary gates are available to manipulate qubits, encoded in photons, with very high fidelity and low noise. In this talk, we will discuss architectures for fault-tolerant quantum computing with photonics in the newly-introduced fusion-based quantum computing paradigm. Fusion-based quantum computing presents a new framework for fault-tolerant quantum computation, focused on the efficient integration of quantum error correction and physical-level hardware operations. Its primitives, small entangled resource states and projective entangling gates, make it particularly useful in an integrated photonics platform, offering significant architectural simplifications and reducing requirements on physical level operations.
Cross-modal Image Retrieval with Deep Mutual Information Maximization

In this paper, we study the cross-modal image retrieval, where the inputs contain a source image plus some text that describes certain modifications to this image and the desired image. Prior work usually uses a three-stage strategy to tackle this task: 1) extract the features of the inputs; 2) fuse the feature of the source image and its modified text to obtain fusion feature; 3) learn a similarity metric between the desired image and the source image + modified text by using deep metric learning. Since classical image/text encoders can learn the useful representation and common pair-based loss functions of distance metric learning are enough for cross-modal retrieval, people usually improve retrieval accuracy by designing new fusion networks. However, these methods do not successfully handle the modality gap caused by the inconsistent distribution and representation of the features of different modalities, which greatly influences the feature fusion and similarity learning. To alleviate this problem, we adopt the contrastive self-supervised learning method Deep InforMax (DIM) to our approach to bridge this gap by enhancing the dependence between the text, the image, and their fusion. Specifically, our method narrows the modality gap between the text modality and the image modality by maximizing mutual information between their not exactly semantically identical representation. Moreover, we seek an effective common subspace for the semantically same fusion feature and desired image's feature by utilizing Deep InforMax between the low-level layer of the image encoder and the high-level layer of the fusion network. Extensive experiments on three large-scale benchmark datasets show that we have bridged the modality gap between different modalities and achieve state-of-the-art retrieval performance.
Internationalization Process of “Double First Class” Universities Based on Big Data

Under the background of globalization and the Belt and Road Initiative, there are many research results about the construction of “double first class” in higher education field in China. However, there is still a lack of research results on the background of “double first-class” construction based on the foundation of big data. Therefore, the research content of this paper is based on big data “double first-class” university internationalization process analysis. In this paper, through questionnaire survey and literature review, on the basis of multiple college campus network full coverage and information platform, the “isolated information system” data association between colleges and universities, mining and analyzing big data, extracting useful information, to assist in the analysis of the internationalization process of China's colleges and universities. And the corresponding suggestions and countermeasures are put forward. The experimental results show that the objective data in universities in China has revealed some problems. The economic effect of internationalization of higher education in China has not been fully realized. Lack of competitiveness, in the international ranking of universities and education in the international reputation does not occupy an advantage. Starting from the imperfection of graduate organization education system and internal operation, this paper explores the practical dilemma of internationalization implementation of colleges and Universities under the background of “double first-class” construction, analyzes the reasons, and puts forward effective countermeasures.
A Brief Introduction to Generative Models

We introduce and motivate generative modeling as a central task for machine learning and provide a critical view of the algorithms which have been proposed for solving this task. We overview how generative modeling can be defined mathematically as trying to make an estimating distribution the same as an unknown ground truth distribution. This can then be quantified in terms of the value of a statistical divergence between the two distributions. We outline the maximum likelihood approach and how it can be interpreted as minimizing KL-divergence. We explore a number of approaches in the maximum likelihood family, while discussing their limitations. Finally, we explore the alternative adversarial approach which involves studying the differences between an estimating distribution and a real data distribution. We discuss how this approach can give rise to new divergences and methods that are necessary to make adversarial learning successful. We also discuss new evaluation metrics which are required by the adversarial approach.
Math Formulation for Ray Trace from Hypocenter Scan, Directed by Geodesic Paths on Spheroid (In Routine “VXplane transformWX [GZ3D(…)].h”)

This paper concerns a method for performing a very rapid scan for the localization of the foci of Earthquakes (Hypocenters) while taking the Earth spheroidal geometry directly into account. This scanning process is divided into two parts: firstly the geodesic pathways are laid down on the spheroidal surface between the known epicenter and each of the active sensors (sensors for which a substantial number of P-wave onsets are known) and then secondly, the scan can take place using these pathways as guides for the P2P ray tracing necessary to form the scan itself.
LibGuides: Master of Business Administration (MBA): LHML Resources

The core courses in an MBA program cover various areas of business administration such as accounting, applied statistics, human resources, business communication, business ethics, etc.
Battle of the Books

Most of my teaching career has been spent in American schools, most recently as a Teacher-Librarian at an English-Spanish elementary school. My international teaching career began in Qatar in August of 2012, when I started my new job as a Teacher-Librarian at a private K-12 school. My first year was spent rearranging the library’s collection and getting a feel for the school, its students and staff. By the end of the second term of the first year, I realized that the most important aspect of my job as a school librarian was going to be improving the literacy skills of my students. How to do this was my next problem and I immediately thought of the Battle of the Books (BOB) Program. My school district in Oregon had used it in seventeen elementary schools, both regular and bilingual. This was exactly what I needed because I was currently teaching in a bilingual school (English/Arabic). I went about getting support from my primary and secondary school teachers and administration. Once I had the support in place, I needed to take a closer look at how we had run the BOB Program in Oregon and then adapt it to my current situation. The things that I needed to consider in order to make the BOB Program a success were the following:1. Deciding which year levels would participate for the Primary and Secondary Divisions2. Selecting the reading levels for each division3. Deciding the number of books for each division to read4. Selecting the right books for the each division5. Making a Timeline6. Deciding the format of the questions7. Writing the questions8. Setting up the tournament9. Using Guest Readers during the tournament for each division10. Rewards for the winning teams of both divisions