Reviewerly/exHarmony huggingface dataset:
A Simple Sparse Denoising Layer for Robust Deep Learning

Deep models have achieved great success in many applications. However, vanilla deep models are not well-designed against the input perturbation. In this work, we take an initial step to designing a simple robust layer as a lightweight plug-in for vanilla deep models. To achieve this goal, we first propose a fast sparse coding and dictionary learning algorithm for sparse coding problem with an exact k-sparse constraint or l0 norm regularization. Our method comes with a closed-form approximation for the sparse coding phase by taking advantage of a novel structured dictionary. With this handy approximation, we propose a simple sparse denoising layer (SDL) as a lightweight robust plug-in. Extensive experiments on both classification and reinforcement learning tasks manifest the effectiveness of our methods.
LibGuides: Resources for Non-binary Students: Online Resources

Finding books, movies, and more featuring non-binary characters can be difficult. This is a list of resources, fiction and non-fiction, written about and often by non-binary people.
THE USE OF MIND MAPPING TECHNIQUE IN IMPROVING STUDENTS’ WRITING ABILITY IN NARRATIVE TEXT AT GRADE VIII OF MTs DDI KELURAHAN BARU TOLITOLI

The objective of this research was to identify whether the use of mind mapping was effective to improve students’ skill in writing narrative text. This pre-experimental study  used 25 students as a sample. They were grade VIII C of MTs DDI Kel.Baru. The procedure of this research consisted of pretest, treatment, and posttest. The researcher gave pretest and posttest to know the use of mind mapping technique can improve the students’ writing ability or not.  The result of the analysis showed that mind mapping technique contributed greatly to the students in writing narrative text. It can be seen by the difference of the mean score between pre-test and post-test. The mean score of pre-test was 48.60 while in the post-test improved up to 71.00. The data of this research were analyzed by using SPSS Program 16.0.Moreover, the Minimum Mastery Criterion of English lesson was 75 (seventy-five). Then the data of both tests were analyzed by using T-test, and the result showed that the T-test value 11.362 was greater than T-table value 2.064. It can be inferred that mind mapping technique was very effective to improve students’ ability in writing narrative text. Key words: improving, teaching writing, narrative text, mind mapping technique. ABSTRACT
A decision-making approach for Smart Farming

Since the population is continuously increasing, by 2050 the global population will reach 9.7 billion people. The production of the food to supply this huge amount of the population has become a big challenge for modern agriculture, it is necessary to find a faster and more efficient way for food production. Therefore, new technologies are being applied in farming constructing a new era of smart farming, and Decision Support System (DSS) is one of the most important components. In this thesis, an approach of implementing a DSS is presented and the topic is focused on crop management. And more specifically, rice is the crop under study and dataset from Chinese National Germplasm Repository is used. Different technologies are involved in implementing the DSS such as Big Data, machine learning or cloud platform. Kafka streaming system is used as a messaging system to send rice examples through a direct stream connection established between Spark and Kafka; The use of Spark streaming tool enables the data processing in a distributed way; Different machine learning algorithms are trained in order to classify the rice quality of the examples and the prediction will be done in real-time in Spark; And the cloud platform used is Onesait, where final processed data is stored and dashboard visualization is fulfilled.
Capitolo 14. Tipi lessicali mediani (e romaneschi) in testi aretini antichi

In this paper, I discuss a set of lexical items which are peculiar to (Old) Eastern Tuscan, at odds with Florentine and standard literary Italian. Some of them, such as incigliare ‘to scutch’, òppio ‘poplar’, póccia ‘breast’, are also common in most dialects of the Area (peri)mediana. Among the words which are widespread throughout Central Italy, it is possible to find a small group that Arezzo shares with the dialect of Rome, such as catòrcio ‘bolt’, déto ‘finger’, lograre ‘to wear out’, ‘to consume’ and Old Aretine mannarino ‘hog’ or ‘suckling pig’ (Modern Romanesco ‘old ox’ or ‘mutton’).
GLocal: A Hybrid Approach to the Multi-Agent Mission Re-Planning Problem

Multi-agent systems can be prone to failures during the execution of a mission, depending on different circumstances, such as the harshness of the environment they are deployed in. As a result, initially devised plans for completing a mission may no longer be feasible, and a re-planning process needs to take place to re-allocate any pending tasks. There are two main approaches to solve the re-planning problem (i) global re-planning techniques using a centralized planner that will redo the task allocation with the updated world state and (ii) decentralized approaches that will focus on the local plan reparation, i.e., the re-allocation of those tasks initially assigned to the failed robots, better suited to a dynamic environment and less computationally expensive. In this paper, we propose a hybrid approach, named GLocal, that combines both strategies to exploit the benefits of both, while limiting their respective drawbacks. GLocal was compared to a planner-only, and an agent-only approach, under different conditions. We show that GLocal produces shorter mission make-spans as the number of tasks and failed agents increases, while also balancing the tradeoff between the number of messages exchanged and the number of requests to the planner.
DESAFÍOS PARA EL DISEÑO DE NUEVAS PEDAGOGÍAS BASADAS EN TECNOLOGÍAS MÓVILES

Despite the fact that investment in technology has increased in Latin America, little is yet known about the integration of mobile devices in educational practices. The objective of this article is to analyse the access, perception of usefulness and frequency of use of the laptops provided free of charge by Plan Ceibal from Uruguay in the pre-professional practices of student teachers. A mixed method was used for the investigation, which includes a survey to 385 students and 15 in-depth interviews. Results show a limited pedagogical use of mobile devices as well as important challenges for emergent pedagogies. Most of the participants incorporate the mobile devices in traditional teaching approaches.
E-LEARNING IN BUILDING PRACTICAL SKILLS

The development of professional habits and skills in a real learning environment is a well-established and classical form that gives its results in the preparation of capable and competent staff. But, whether e-learning would be so effective in creating and validating practical skills is a question with many unknowns. How the tools of e-learning can be useful in conducting practical education? At what stage of development of practical skills is e-learning appropriate? Are the acquired knowledge and skills of the students lasting? Is the education system ready to meet the challenge of e-learning to the practical education of healthcare professionals? To all these and related questions, we have to find the answers, through a thorough analysis and pedagogically sound experimental approach of action. This report aims to present experimentally conducted innovative teaching methods whose direction is to build manual skills in the students in the specialty ―Medical aesthetic care‖ in a distance learning environment. E-tools and technologies could be adapted and used for the needs of the practical education. The precision in their application, depending on the specifics of the studied material, can help the development of the learning process and the build of good practical skills in the students. Their use could improve practical education, but not displace it from the actual learning environment, but only complement it.
HITSZ-ICRC: A Report for SMM4H Shared Task 2020-Automatic Classification of Medications and Adverse Effect in Tweets

This is the system description of the Harbin Institute of Technology Shenzhen (HITSZ) team for the first and second subtasks of the fifth Social Media Mining for Health Applications (SMM4H) shared task in 2020. The first task is automatic classification of tweets that mention medications and the second task is automatic classification of tweets in English that report adverse effects. The system we propose for these tasks is based on bidirectional encoder representations from transformers (BERT) incorporating with knowledge graph and retrieving evidence from online information. Our system achieves an F1 of 0.7553 in task 1 and an F1 of 0.5455 in task 2.
Aplikasi Kelola Data Konsumen Perum Ranjeng Asri Regency

Current technological developments have shown some changes, really in data management, nowadays to manage data an application is needed so that its management becomes more effective, the Consumer Data Management Application at Perum Ranjeng Asri Regency is an application that is devoted to managing all consumer data. The purpose of this research is to build a Consumer Data Management Application at Perum Ranjeng Kabupaten Asri to make it easier for employees in their consumer data collection organizations. The method used in building this application is a prototype model which consists of several stages, namely the stages related to needs, designing, building prototypes, evaluating prototypes, until the application can be used. Using this method is more helpful in finding the needs in the early stages of developing this application. This research produces a desktop application that can help all consumer data in Perum Ranjeng Asri Regency. The conclusion of making the Consumer Data Management Application of Perum Ranjeng Asri Regency is that it makes it easier for managers in the organization of all consumer data and will improve the quality and quantity of public companies in the eyes of the community later.
LibGuides: Library Services 2021: Mask Requirements

This is a guide about CCSU library services for 2021, including information about hours & services available for students, faculty, and guests, both in-person at the Elihu Burritt & via the web.
LibGuides: BUS 305 Course Guide: Library Research Guide

Resources for researching the history, theory, and applications of a particular field in computer science
How Veem helped me get Totally Booked

When I first started my bookkeeping business, I almost immediately started looking for a better option for sending international payments. AMEX was ...
Guides @ UF: Library Technology Services: Video & Captioning

Resources from Library Technology Services, for library employees Support for video made by the Libraries
ProsperAMnet at FinCausal 2020, Task 1 & 2: Modeling causality in financial texts using multi-headed transformers

This paper introduces our efforts at the FinCasual shared task for modeling causality in financial utterances. Our approach uses the commonly and successfully applied strategy of fine-tuning a transformer-based language model with a twist, i.e. we modified the training and inference mechanism such that our model produces multiple predictions for the same instance. By designing such a model that returns k>1 predictions at the same time, we not only obtain a more resource efficient training (as opposed to fine-tuning some pre-trained language model k independent times), but our results indicate that we are also capable of obtaining comparable or even better evaluation scores that way. We compare multiple strategies for combining the k predictions of our model. Our submissions got ranked third on both subtasks of the shared task.
Controlling parameters of the wave-particle duality of a two-level atom in a double-slit scheme with cavity field

A double-slit scheme placed immediately before a standing wave allows one to establish two possible paths for the passage of an atom. Each path matches with a node or antinode of the wave. The atom–field interaction is maximum (null) when the atom crosses an antinode (node), causing a maximum (null) phase shift in the field. Therefore, after the interaction, a proper quadrature measurement on the field can reveal the value of its final phase, and which-path information can be obtained. For a coherent state, the which-path information can be controlled by the amplitude of the field, and partial interference can be observed as it decreases. In this paper, we consider different states of the quantum field (squeezed coherent, cat, and thermal states), and we establish correlations between the internal atomic states and the paths of the double-slit scheme. This allows us to study the relationship among visibility, distinguishability, and concurrence, having in both the field and the atom different controlling parameters of the wave-particle duality.
GENERALIZED MITTAG-LEFFLER STABILITY FOR IMPULSIVE CAPUTO FRACTIONAL NEURAL NETWORKS WITH BOUNDED DELAYS

Generalized Mittag-Leffler stability of neural networks modeled by anonlinear Caputo fractional differential equations with baounded delay and impulses isstudied. We study the case whenn the lower limit of the Caputo derivative is equal tothe impulsive time point, i.e. it is changeable.
Smirnov measure of fuzzy descriptive proximity

This article introduces descriptive Smirnov fuzzy proximity useful in the study of the closeness of spatially separated but descriptively close surface shapes. In addition, a corresponding measure is given. \tclr{W}e establish useful results regarding the behavior of the new descriptive fuzzy proximity measure. The focus here is on triangular fuzzy numbers due to their favorable arithmetical properties. Applications of this work are given in terms of the study of approximate closeness of object shapes found in single digital images and in video frames.
Bidirectional Homotopy-Guided RRT for Path Planning

As a popular robot path planning algorithm, RRT (Rapid-exploring Random Tree) and various RRT-based extensions have achieved remarkable results. However, existing algorithms rely too much on randomness and often do not make use of known map information, this makes the growth of trees too blind. To this end, we introduce Bidirectional Homotopy-Guided RRT (BH-RRT) that combines Bidirectional RRT (Bi-RRT) with information obtained from obstacle contours. Compared with the previous methods, BH-RRT can reflect most of the map's information with a small number of feature points, and then form a set of points. This set can provide a better local goal point in each iteration, so that the tree can grow in a more favorable direction, rather than only being affected by the goal point. Experimental results show that BH-RRT outperforms RRT, HRRT and Bi-RRT in the success rate within a limited time.
Blockchain technology for food security? Resilience potential and risk identification for the Multilateral System of the International Treaty on Plant Genetic Resources for Food and Agriculture

In this chapter, blockchain technology is gauged as an innovation tool to mitigate the ongoing constraints and risks in global seed conservation and sustainable use and to foster resilience in food and agriculture systems. By analysing whether blockchain could serve as a tool facilitating the implementation of the Multilateral System of access and benefit-sharing (MLS) of the International Treaty on Plant Genetic resources for Food and Agriculture (the Treaty), we aim at exploring possible technological solution to secure an adequate balance of social and environmental benefits
SPECIALIZED APPLIED SOFTWARE FRITZING AND ITS USE FOR SIMULATION OF ELECTRONIC DEVICES BASED ON ARDUINO PLATFORM

The article is devoted to the problem of clarifying the possibilities of using specialized applied software for modeling electronic devices based on the Arduino platform during non-formal education of children. The article analyzes the current state of the issue of STEM-education in general secondary education. The authors of the article carried out a thorough analysis of the Arduino open-source software complex. The history of Arduino creation and the most widespread platforms of its model line are described, examples of application of the specified platforms in real-life projects are given. The main technical specs and characteristics of the Arduino Uno electronic elements are presented and analyzed. Atmega328P microcontroller is reviewed, including the main calculative center of the platform and its major hardware components. Specialized applied software for creating visual electronic circuits “Fritzing” is described, its benefits are considered. This software product provides the opportunity to visually present the project (creation of a digital model) in different types (layout, scheme and printed circuit board). Any of the above mentioned emanations of the model can be used as the main work environment of the project and can be selected at any time. For better clarity and usability all the processes of creating a prototype of the electronic game "Hunter" in the specialized applied software “Fritzing” are described and illustrated, including the description of game development process. The results of the research indicated the importance of developing modern approaches to non-formal education of children and the need for systematic review of training programs for computer science (CS) teachers
Multidirectional total variation-based method for fringe pattern despeckling: application to the phase retrieval in digital speckle pattern interferometry

Digital speckle pattern interferometry (DSPI) is a widely used technique in various high-precision nondestructive testing applications. However, a coherence multiplicative noise, called speckle noise, is produced. Speckle noise degrades the quality and the resolution of the fringes, leading to difficulties in fringe analysis and phase retrieval. We aim to restore the DSPI correlation fringes and reduce the speckle noise through a multidirectional total variation method. In this method, the local fringe orientation, computed through Riesz transform, is used to increase the sensitivity of the variational regularization to the spatially varying directional intensity changes. The proposed algorithm is applied to the directional wavelet phase retrieval technique. The performance of the proposed method is evaluated with both simulated and experimental DSPI fringe patterns, obtaining satisfactory results.
Foreign student life experience in Korea after COVID-19

This study was a phenomenological qualitative research that analyzed the experiences of Korean students studying in Korea after the COVID-19 incident. Participants in this study consisted of 22 international students aged 20 to 40 attending the International Exchange Center at C University. The interview period was from September 10, 2020 to October 10, 2020. Giogi qualitative research method was used to analyze vivid experiences of international students. As a result of the analysis, 26 semantic units, 7 subcomponents were derived. The description of the general structure sentence of phenomenology was a description of the meaning of experience from the perspective of participants, and the context and structure descriptions were integrated. The results of this study showed that: The students who came to Korea to study were concerned about Korea in various ways, but they had to adjust to unexpected changes in education methods, anxious about the unexpected COVID-19 disaster. Participants chose to study in Korea based on existing information, so they felt anxiety, regret, fear, and frustration over sudden changes, but taking online classes helped them learn repeatedly and voluntarily became an experience that suited their learning speed. As commuting time has decreased, they were more opportunities to make money in Korea also. Based on the results of this study, the following is suggested: First, the government should establish systematic online infection prevention measures for international students who have poor Korean language skills in preparation for unexpected disasters. Second, non-face-to-face teaching methods should be prepared with the same weight in the face-to-face teaching methods that have been carried out so far in preparation for unexpected disasters.
Determination of dengue hemorrhagic fever disease factors using neural network and genetic algorithms / Yuliant Sibaroni, Sri Suryani Prasetiyowati and Iqbal Bahari Sudrajat

The Aedes aegypti mosquito and the Aedes albopictus mosquito are carriers of the virus that causes Dengue Hemorrhagic Fever (DHF). In Indonesia, the spread of DHF disease has taken place for 41 years. Within this period, there was an increase in the number of spreading areas by 97% and an increase in the number of cases by 99%. Based on the data from previous studies, further information is needed related to the factors that have the most influence on the level of DHF infection in a region. Based on the initial study conducted, there are 6 factors that have the potential to influence the number of DHF cases in an area, namely temperature (X1), rainfall (X2), population density (X3), altitude (X4), distribution of males (X5), and distribution of education level (X6). In this study, the problem of determination dengue disease factors was modeled using a neural network. The activation function in this neural network model then estimated using genetic algorithms. Determination of the best factor is carried out in a genetic algorithm by combining several parameters of the crossover probability (Pc) and mutation probability (Pm). This experiment show that the main factors that influence the spread of DHF in Bandung area are temperature, altitude, distribution of gender, and distribution of education levels. The best accuracy system obtained in this study using these 4 factors reached 72%.
THE „CLOUDY“ CLASSROOM

The report presents the author’s experience in integrating modern ICT technologies in the process of teaching and learning in school. The emphasis is on the use of mobile devices and the integration of cloud technologies in schools. As an ICT teacher, the author provides some practical guidelines on how to apply innovation. The generation of 7 screens does not know a world without digital technologies and mobile communications. The discrepancy between the expectations of the digital generation and the reality in our schools is in terms of the information and communication technologies (ICT) used in them and the didactic models. Adolescents, when they find themselves in an environment that does not meet their expectations, are demotivated and redirect their attention to other objects and goals and stop being active in class. The use of the so-called. „Cloud“ technologies will significantly increase the interest and retention of students. The modern approach to building information systems is focused on developing solutions in which the collection, input and output of information is carried out through WEB-based applications or platforms.
ANALYSIS STUDENT’S SPEAKING FLUENCY IN SPEAKING CLASS PERFORMANCE

Speaking skill becomes one of the most fundamental skills in this era; however English learners need to develop their capability to show their language skill through speaking practice. This research aims to investigate students speaking fluency level toward speaking practice. The qualitative descriptive method is used to describe data analysis. The sample of this research is single sample, English language program students at semester 5. The video record towards speaking practice and professional feedback are became the data collection technique. The video records duration is about 10 minutes and during that presentation, researcher tried to analysis based on the vocabulary used, voice, and speech fluency. The result of the research showed that student’s speaking fluency level is still low, and it needed to treat and drill more, could be through watching a YouTube or practice among English learners.