Reviewerly/exHarmony huggingface dataset:
Enriching the Transformer with Linguistic Factors for Low-Resource Machine Translation

Introducing factors, that is to say, word features such as linguistic information referring to the source tokens, is known to improve the results of neural machine translation systems in certain settings, typically in recurrent architectures.This study proposes enhancing the current state-of-the-art neural machine translation architecture, the Transformer, so that it allows to introduce external knowledge.In particular, our proposed modification, the Factored Transformer, uses linguistic factors that insert additional knowledge into the machine translation system.Apart from using different kinds of features, we study the effect of different architectural configurations.Specifically, we analyze the performance of combining words and features at the embedding level or at the encoder level, and we experiment with two different combination strategies.With the best-found configuration, we show improvements of 0.8 BLEU over the baseline Transformer in the IWSLT German-to-English task.Moreover, we experiment with the more challenging FLoRes English-to-Nepali benchmark, which includes both extremely low-resourced and very distant languages, and obtain an improvement of 1.2 BLEU.
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Imitating human demonstrations is a promising approach to endow robots with various manipulation capabilities. While recent advances have been made in imitation learning and batch (offline) reinforcement learning, a lack of open-source human datasets and reproducible learning methods make assessing the state of the field difficult. In this paper, we conduct an extensive study of six offline learning algorithms for robot manipulation on five simulated and three real-world multi-stage manipulation tasks of varying complexity, and with datasets of varying quality. Our study analyzes the most critical challenges when learning from offline human data for manipulation. Based on the study, we derive a series of lessons including the sensitivity to different algorithmic design choices, the dependence on the quality of the demonstrations, and the variability based on the stopping criteria due to the different objectives in training and evaluation. We also highlight opportunities for learning from human datasets, such as the ability to learn proficient policies on challenging, multi-stage tasks beyond the scope of current reinforcement learning methods, and the ability to easily scale to natural, real-world manipulation scenarios where only raw sensory signals are available. We have open-sourced our datasets and all algorithm implementations to facilitate future research and fair comparisons in learning from human demonstration data. Codebase, datasets, trained models, and more available at this https URL
Synchronous and asynchronous E-learning technology instruments for foreign language distance learning

The article deals with the study of foreign languages distance learning peculiarities, in particular, implementation of synchronous and asynchronous E-learning technology instruments, approaches to their definitions, advantages and disadvantages.The topicality of this research is predetermined by the urgent necessity to reform the Ukrainian system of education considering the current requirements.In the result of the research conducted it has been established that traditional distance and e-distance learning are the most actively used models of the modern Ukrainian educational process.However, due to the number of advantages and possibilities the form of blended learning is getting more widespread.Availability and popularity of these forms is explained by the factors that have favourable effect on the process of foreign languages learning and its efficiency (оpportunity of individual choice, рossibility of self-control, сooperation etc.).One of the main functions, realized by a teacher, is the function of control that is embodied during distance learning by the test, education, development and forming functions.Types of control are distinguished also by the temporal signs (diagnostic, current, periodic and final).The most common control methods during any foreign language distance learning have been presented basing on the above-mentioned data.Having studied theoretical and practical aspects of this form of learning the main criteria for choosing the means of e-learning organizing to make them maximally effective, motivating and interesting for students have been defined.Taking into consideration the experience of teachers at the current stage of e-systems implementation the most popular among them according to some criteria have been identified and specific instrument and applications to make the process of learning more successful, productive and comfortable have been proposed.
PERANCANGAN SISTEM INFORMASI KELENGKAPAN REKAM MEDIS DI RUMAH SAKIT MUHAMMADIYAH BANDUNG

In this technological era, hospitals are required to improve the quality of health services. Including in terms of completeness of medical records. Completeness of medical records is the recording of specific medical record deficiencies that can still be completed by medical record officers. The purpose of this study was to design a Medical Record Completeness Information System at Muhammadiyah Hospital Bandung because the information system at this hospital still uses Microsoft Excel to fill in the completeness of medical record data. The research method used is qualitative with a descriptive approach, data collection techniques are carried out with field observations to analyze the needs of the information system to be made. While the development method used is the waterfall or linear sequential model, through the design stages using Context Diagrams, Level 1 Data Flow Diagrams, and Entity Relationship Diagrams which are then carried out by implementing the system that has been made. The design of this information system is expected to make it easier for medical record officers in filling out medical record completeness data to be faster and more effective so that this design can be well integrated. The results of the design of the information system found that the system was well integrated when entering input. Completeness analysis can display complete information or not a medical record.
Automatic Video Chromakeying Generation Technology Using Background Modeling

In online meetings and classes using webcams, the chromakey technique is a very necessary part to produce content. We proposed a technology that enables background synthesis without using a cloth for chromakey. The proposed method consists of three steps: an HSI image conversion step, a step of detecting a region changed from a background, and a step of replacing the background region with a chromakey and applying it. In the input video, the block average image of each frame is calculated, and the difference between the block average image of the background image and the block average image of the input image is used to detect the change area. The developed chromakey effect technology uses a technique of acquiring a background image without an object from a single camera and extracting only an object by distinguishing the moving object and the background. The proposed method is not only capable of processing even if the background has a variety of colors, but also has the seamless processing of the boundary lines of objects.
Good Impression in Writing Business Correspondence by English as Foreign Language Students

This study concerned to investigate good impression in bussiness correspondence wriitten by by EFL (English as Foreign Language) students of second semester in Budi Darma University, Medan, North Sumatera-Indonesia, especially in writing application or cover letter. These EFL students were investigated to find out  their capability to write appropriate application letter or usually called as cover letter. The problem found is the EFL students are failed to write good impression to the reader or employer. A writer should be able to make good impression about herself to the employer, because the essential point of writing application letter is how to impress the employer about a writer or a job seeker’s selling points. The writer found that most students need to be trained to write an application letter with good impression. This study focused on sixteen random students of the second semester in Budi Darma University Medan majored in Computer Engineering. The data was collected in August 2021. The data collection was conducted by assesing the samples of sixteen students’ writing test. The data was analyzed by using quantitative analysis to get the percentage of the students who were failed to write application letter with good impression to the reader. The results indicated that the students were less experience in writing application letter with good impression to the reader especially in personal touch it is how to write proper salutation and closing then followed by less experience in writing addressee and contact details.  The suggestions are proposed to improve writing training to the students, the improvement of training to write application letter with good impression especially in personal touch and contact details
With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition

In egocentric videos, actions occur in quick succession. We capitalise on the action's temporal context and propose a method that learns to attend to surrounding actions in order to improve recognition performance. To incorporate the temporal context, we propose a transformer-based multimodal model that ingests video and audio as input modalities, with an explicit language model providing action sequence context to enhance the predictions. We test our approach on EPIC-KITCHENS and EGTEA datasets reporting state-of-the-art performance. Our ablations showcase the advantage of utilising temporal context as well as incorporating audio input modality and language model to rescore predictions. Code and models at: https://github.com/ekazakos/MTCN.
Gaussiun ProbabIlity : Dimensional View

The Gaussiun distribution the General mathematical expression of Probability Distribution can be expressed as P ( x )= A exp ( - B * x ^ 2 ) . For one dimension ranging from - infinity to + infinity the Average distribution is ZERO . For two /three dimension the expression includes dimension factor .To find best fit analysis through Regression method the Gaussiun fit is one of the useful one for Hydrodynamic Modelling .Ref :https://doi.org/10.6084/m9.figshare.12167607
Work-in-Progress: Performance Analysis and Optimization of Decision Tree Classifiers on Embedded Devices

Decision trees (DTs) offer a popular implementation choice for machine learning classifiers since they are highly interpretable and easy to use. Resource management decision overheads must be minimal in embedded systems to meet latency targets and deadline constraints. While the literature has preferred hardware architectures for DTs to meet latency targets, they are not suitable for ultra-low latency applications due to their data movement overheads despite the parallelism they offer. Therefore, we propose software optimization techniques for decision trees. The proposed DTs achieve lower than 50 ns latencies for depth 12, making them highly suitable for classification in embedded resource management.
Добрая память библиотечная

Review of the book: Yakov L. Shrayberg. My friend Katya Genieva : in 3 vol. / NLA “Libraries of the Future”, Russian State Library, RNPLS&T. – Moscow : Pashkov dom, 2021. The reviewer examines the content of Ekaterina Yu. Genieva memorial project as depicted by Yakov L. Shrayberg, in three aspects, i. e. literary, cultural and historical, and strategic. He concludes on the project unique value for the book culture.
Setting the Framework for ESXi on Arm on Pi

In this chapter, in order to set the stage for the rest of the book, we will look at the datacenter before virtualization was available. We will then discuss virtual machines (VMs) and the classifications of the types of hypervisors that are commonly in use. We will also give you a little background of VMware, the company that developed ESXi. As ESXi is an integral part of the vSphere family, we will also touch on some of the other vSphere products.
Creation and Exploration Based on Traditional Granulation Technology

The traditional granulation technology cannot meet the concise aesthetic needs of modern people and is facing extinction in the development of society because of its obvious shape of historical symbols and the complicated production process. This paper introduced the principle of traditional granulation technology, analyzed the advantages and disadvantages of powder welding and liquid diffusion method in welding, and obtained the differences between plane modeling and three-dimensional modeling in welding. After continuous experiments, it was found that modern industrial auxiliary materials could improve the production efficiency and simplify the traditional granulation process. This study made new use of the ancient method, tried the non-carcass body modeling, blurred the religious history decorative pattern, implication and other patterns and symbols, and the natural forms and colours in the modern social environment are integrated into the creation.
HUBUNGAN ANTARA PERHATIAN ORANG TUA DAN MOTIVASI BELAJAR DENGAN PRESTASI BELAJAR SISWA KELAS X JURUSAN ADMINISTRASI PERKANTORAN SMK BATIK 2 SURAKARTA

Parental attention and student motivation, related to student achievement. Where students are getting the attention of parents and their motivation to learn is high, the better the student's learning achievement.  But the problem is not all students get the attention of parents and also motivation to learn. This happened in class X Department of Office Administration of SMK Batik 2 Surakarta in the training year of 2010/2011.  2010/2011, to find out whether or not there was a significant relationship between learning motivation and student achievement in class X Department of Office Administration at SMK Batik 2 Surakarta in the 2010/2011 training year, and to find out whether there was a significant relationship between parents' attention and learning motivation with class X student learning achievement Department of Office Administration Batik Vocational High School 2 Surakarta in 2010/2011 training.This type of research used by researchers in this research is quantitative research with descriptive methods.  Where data collection techniques using questionnaires or questionnaires and supported by the documentation method.  The population in this study were students of class X Department of Office Administration at SMK Batik 2 Surakarta in the 2010/2011 training year.  The sampling technique used in this study was proportional random sampling, as many as 95 students or 60% of the total population.  The sample used was 57 students.  By using the results of the analysis of multiple linear lines.  The conclusions of this research are: (1) There is a significant relationship between parents' attention and the learning achievement of Grade X students of the Department of Office Administration at SMK Batik 2 Surakarta in the training year 2010/2011.  (Price tcount> t table or 3.076> 1.673 with a significance level of 5%).  (2) There is a significant relationship between learning motivation and student achievement in class X Department of Office Administration at SMK Batik 2 Surakarta in the training year 2010/2011.  (Price tcount> t table or 4.143> 1.673 at the 5% significance level).  (3) There is a significant relationship between parents' attention and learning motivation with student achievement in class X Department of Office Administration at SMK Batik 2 Surakarta in the training year 2010/2011.  (Price Fcount> F table or 18.156> 3.162 at the 5% significance level).  Double linear line equation Ŷ = 46.116 + 0.241 X1 + 0.251 X2.
Analítica de aprendizaje para recomendaciones de diseño de un curso en moodle

espanolLa investigacion que se presenta tuvo como objetivo analizar las interacciones de los participantes con la plataforma del curso en linea Redaccion de protocolos de investigacion a traves de un plan de analitica de aprendizaje con la finalidad de identificar areas de oportunidad en su diseno instruccional. El curso fue implementado en Moodle un software de uso libre y gratuito. Se realizo un estudio de corte cuantitativo, no experimental, descriptivo. El muestreo fue no probabilistico, por conveniencia donde participaron alumnos del septimo semestre de dos instituciones publicas de educacion superior en el Estado de Mexico, el primer grupo estudiantes de la carrera de ingenieria en Sistemas Computacionales y el segundo de la licenciatura en Informatica Administrativa. La pregunta a la cual se dio respuesta fue ?Cuales son los elementos de mejora de diseno instruccional que se pueden identificar a traves de la aplicacion de la analitica de aprendizaje en el curso Redaccion de protocolos de investigacion? Se sugieren mejoras en los apartados Presupuesto y Aspectos generales del curso. Para el proceso de analitica de aprendizaje se siguio el modelo propuesto por (Chatti et al., 2012) y se utilizo un plan de medicion ejecutado en Google Analytics. Se sugiere para trabajos futuros implementar el seguimiento del curso con un mayor numero de participantes y el plan de medicion en otros cursos. EnglishThe objective of the research presented was to analyze the interactions of the participants with the online course platform Writing research protocols through a learning analysis plan in order to identify areas of opportunity in their instructional design. The course was implemented in Moodle, a free to use software. A quantitative, non-experimental, descriptive study was carried out. The sampling was non-probabilistic, for convenience, where students from the seventh semester from two public institutions of higher education in the State of Mexico participated, the first group of students from the engineering degree in Computer Systems and the second from the degree in Administrative Informatics. The question that was answered was: What are the elements of instructional design improvement that can be identified through the application of learning analytics in the course Writing research protocols? Improvements are suggested in the Budget and General aspects of the course. For the learning analytics process, the model proposed by (Chatti et al., 2012) was followed and a measurement plan executed in Google Analytics was used. It is suggested for future work to implement the course monitoring with a greater number of participants and the measurement plan in other courses.
SISTEM INFORMASI GEOGRAFIS LOKASI BANK, ATM DAN MONEY CHANGER PROVINSI GORONTALO

The number of tourists who come to Gorontalo Province always increases from 2016 to 2019, the tourists who come are not only local tourists but also foreign tourists. The increasing number of tourists who come is not directly proportional to the number and evenness of the locations of banks, ATMs and money changers because many tourist sites in Gorontalo Province are located in regencies. This study aims to build a system that can make it easier for local tourists and foreign tourists to find the location of banks, ATMs and money changers and have foreign language and social information features. This research can assist users in finding the closest location to the Bank, ATM and Money Changer and this research also uses the prototype method which includes the stages of communication, design, prototype formation, prototype evaluation, prototype repair and final production. The results of this study indicate the Geographical Information System of Bank Locations, ATMs and Money Changers can be used to find the location of the closest Bank, ATM and Money Changer to the user.
Analisa Keamanan Web Server Terhadap Serangan Distributed Denial of Service Menggunakan Modevasive

Development of information Web technology Service, especially on digital security, whether in the form of a website, is a very important aspect in terms of efforts to prevent unwanted things from happening, such as a team of hackers who often commit crimes in cyberspace with the phishing method, ddos ​​attacking, and various methods used. to commit cyber crimes on the internet. The most popular attack techniques are found, such as, Cross Site Scripting, Sql Injection, phishing and ddos ​​attacks. The most frequently used hacker attack technique is the Distributed about Denial of Service technique. After collecting a lot of evidence, knowing that Tehcnic Distributed Denial of Service is a hacked attack technique carried out by remote experts, the researcher found that the Web Server Security Analysis was not yet fully effective, it could be overcome by the Distributed Denial of Service attack. Based on the background description problems above, the authors are interested in conducting research using Modevasive.
A Scheme of Pairwise Feature Combinations to Improve Sentiment Classification Using Book Review Dataset

Sentiment Analysis is a Natural Language Processing (NLP) domain related to the identification or extraction of user sentiments or opinions from written language. Although the approaches to achieve the goals may vary, Machine Learning (ML) methods are gradually becoming the preferred method because of their ability to automatically draw useful insight from data regardless of their complexity. However, an important prerequisite for most ML algorithms to learn from text data is to encode them into numerical vectors. Popular approaches to this include word level representation methods TF-IDF, distributed word representations (word2vec) and distributed document representations (doc2vec). Each of these methods has demonstrated remarkable success in representing the encoded text, however we found that no method has been set to be excellence in all tasks. Motivated by this challenge, an improved scheme of pairwise fusion are proposed for sentiment classification of book reviews. In the experimental findings, Artificial Neural Networks (ANN) and Logistic Regression (LR) classifiers showed that the proposed scheme improved the performance compared to the single method vectorization method. We see that TF-IDF-word2vec performed best among other methods with a mean accuracy of 91.0% (ANN) and 92.5% (LR); showed an improvement of 0.7% and 0.2% respectively over TF-IDF which is the best single vector method. Thus, the proposed method can used as a compact alternative to the popular bag-of-n-gram models as it captures contextual information of encoded document with a less sparse data.
Which Mutual-Information Representation Learning Objectives are Sufficient for Control?

Mutual information maximization provides an appealing formalism for learning representations of data. In the context of reinforcement learning, such representations can accelerate learning by discarding irrelevant and redundant information, while retaining the information necessary for control. Much of the prior work on these methods has addressed the practical difficulties of estimating mutual information from samples of high-dimensional observations, while comparatively less is understood about \emph{which} mutual information objectives are sufficient for RL from a theoretical perspective. In this paper we identify conditions under which representations that maximize specific mutual-information objectives are theoretically sufficient for learning and representing the optimal policy. Somewhat surprisingly, we find that several popular objectives can yield insufficient representations given mild and common assumptions on the structure of the MDP. We corroborate our theoretical results with deep RL experiments on a simulated game environment with visual observations.