bluuebunny/crossref_metadata_2025 huggingface dataset:
Influencing Reinforcement Learning through Natural Language Guidance
Authors: Tasrin Tasmia , Nahian Md Sultan Al , Perera Habarakadage , Harrison Brent
Published: May 2021

Interactive reinforcement learning (IRL) agents use human feedback or instruction to help them learn in complex environments. Often, this feedback comes in the form of a discrete signal that’s either positive or negative. While informative, this information can be difficult to generalize on its own. In this work, we explore how natural language advice can be used to provide a richer feedback signal to a reinforcement learning agent by extending policy shaping, a well-known IRL technique. Usually policy shaping employs a human feedback policy to help an agent to learn more about how to achieve its goal. In our case, we replace this human feedback policy with policy generated based on natural language advice. We aim to inspect if the generated natural language reasoning provides support to a deep RL agent to decide its actions successfully in any given environment. So, we design our model with three networks: first one is the experience driven, next is the advice generator and third one is the advice driven. While the experience driven RL agent chooses its actions being influenced by the environmental reward, the advice driven neural network with generated feedback by the advice generator for any new state selects its actions to assist the RL agent to better policy shaping.
Generating preferred plans with ethical features
Authors: Jedwabny Martin , Bisquert Pierre , Croitoru Madalina
Published: May 2021

Normative ethics has been shown to help automated planners take ethically aware decisions. However, state- of-the-art planning technologies don’t provide a sim- ple and direct way to support ethical features. Here, we propose a new theoretical framework based on a con- struct, called ethical rule, that allows to model prefer- ences amongst ethically charged features and capture various ethical theories. We show how the framework can model and combine the strengths of these theories. Then, we demonstrate that classical planning domains extended with ethical rules can be compiled into soft goals in PDDL.
Applications of Machine Learning For Precision Agriculture and Smart Farming
Authors: Gurrapu Sai , Sikder Nazmul , Wang Pei , Gorentala Nitish , Williams Madison , Batarseh Feras A.
Published: May 2021

Recent deglobalization movements have had a transformativeimpact and an increase in uncertainty on manyindustries. The advent of technology, Big Data, and MachineLearning (ML) further accelerated this disposition.Many quantitative metrics that measure the globaleconomy’s equilibrium have strong and interdependentrelationships with the agricultural supply chain and internationaltrade flows. Our research employs econometricsusing ML techniques to determine relationshipsbetween commonplace financial indices (such asthe DowJones), and the production, consumption, andpricing of global agricultural commodities. Producersand farmers can use this data to make their productionmore effective while precisely following global demand.In order to make production more efficient, producerscan implement smart farming and precision agriculturemethods using the processes proposed. It enablesthem to have a farm management system that providesreal-time data to observe, measure, and respondto variability in crops. Drones and robots can be usedfor precise crop maintenance that optimize yield returnswhile minimizing resource expenditure. We developML models which can be used in combinationwith the smart farm data to accurately predict the economicvariables relevant to the farm. To ensure the accuracyof the insights generated by the models, ML assuranceis deployed to evaluate algorithmic trust.
Vegetation Coverage in Marsh Grass Photography Using Convolutional Neural Networks
Authors: Welch Lucas Wayne , Liu Xudong , Kahanda Indika , Reddivari Sandeep , Umapathy Karthikeyan
Published: May 2021

Vegetation monitoring is one of the major cornerstones of environmental protection today, giving scientists a look into changing ecosystems. One important task in vegetation monitoring is to estimate the coverage of vegetation in an area of marsh. This task often calls for extensive human labor carefully examining pixels in photos of marsh sites, a very time-consuming process. In this paper, aiming to automate this process, we propose a novel framework for such automation using deep neural networks. Then, we focus on the utmost component to build convolutional neural networks (CNNs) to identify the presence or absence of vegetation. To this end, we collect a new dataset with the help of Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR) to be used to train and test the effectiveness of our selected CNN models, including LeNet-5 and two variants of AlexNet. Our experiments show that the AlexNet variants achieves higher accuracy scores on the test set than LeNet-5, with 92.41\% for a AlexNet variant ondistinguishing between vegetation and the lack thereof. These promising results suggest us to confidently move forward with not only expanding our dataset, but also developing models to determine multiple species in addition to the presence of live vegetation.
Counterfactual Examples for Data Augmentation: A Case Study
Authors: Mehedi Hasan Md Golam Moula , Talbert Douglas A.
Published: May 2021

Counterfactual explanations are gaining in popularity as a way of explaining machine learning models. Counterfactual examples are generally created to help interpret the decision of a model. In this case, if a model makes a certain decision for an instance, the counterfactual examples of that instance reverse the decision of the model. The counterfactual examples can be created by craftily changing particular feature values of the instance. Though counterfactual examples are generated to explain the decision of machine learning models, in this work, we explore another potential application area of counterfactual examples, whether counterfactual examples are useful for data augmentation. We demonstrate the efficacy of this approach on the widely used “Adult-Income” dataset. We consider several scenarios where we do not have enough data and use counterfactual examples to augment the dataset. We compare our approach with Generative Adversarial Networks approach for dataset augmentation. The experimental results show that our proposed approach can be an effective way to augment a dataset.
TSAL: Two steps Adversarial learning based domain adaptation
Authors: Badr Haidi Hasan , Wanas Nayer Mahmoud , Fayek Magda
Published: May 2021

Since labeled data availability differs greatly across domains, Domain Adaptation focuses on learning in new and unfamiliar domains by reducing distribution divergence. Recent research suggests that the adversarial learning approach could be a promising way to achieve the domain adaptation objective. Adversarial learning is a strategy for learning domain-transferable features in robust deep networks. This paper introduces the TSAL paradigm, a two-step adversarial learning framework. It addresses the real-world problem of text classification, where source domain(s) has labeled data but target domain (s) has only unlabeled data. TSAL utilizes joint adversarial learning with class information and domain alignment deep network architecture to learn both domain-invariant and domain-specific features extractors. It consists of two training steps that are similar to the paradigm, in which pre-trained model weights are used as initialization for training with new data. TSAL’s two training phases, however, are based on the same data, not different data, as is the case with fine-tuning. Furthermore, TSAL only uses the learned domain-invariant feature extractor from the first training as an initialization for its peer in subsequent training. By doubling the training, TSAL can emphasize the leverage of the small unlabeled target domain and learn effectively what to share between various domains. A detailed analysis of many benchmark datasets reveals that our model consistently outperforms the prior art across a wide range of dataset distributions.
Colored Multi-Agent Path Finding: Solving Approaches
Authors: Barták Roman , Ivanová Marika , Švancara Jiří
Published: May 2021

Multi-Agent Path Finding (MAPF) deals with the problem of finding collision-free paths for a set of agents moving in a shared environment while each agent has specified its destination. Colored MAPF generalizes MAPF by defining groups of agents that share a set of destination locations. In the paper, we evaluate several approaches to optimally solve the colored MAPF problem, namely, a method based on network flows, an extended version of conflict-based search, and two models using Boolean satisfiability. We also investigate methods for obtaining lower bounds on optimal solutions based on constraint and continuous relaxation techniques.
Coordination and Control of Hierarchically Organized Interacting Agents
Authors: Patra Sunandita , Traverso Paolo , Ghallab Malik , Nau Dana
Published: May 2021

The coordination and control of hierarchically organized interacting agents is an important issue in many applications, e.g., harbor or warehouse automation. A formalism of agents as hierarchical input/output automata is proposed. A system of interacting agents is modeled as the parallel composition of their automata. We extend the usual parallel composition operation of I/O automata with a hierarchical composition operation for refining abstract tasks into lower-level subtasks. We provide an algorithm to synthesize hierarchically organized controllers to coordinate the agents' interactions in order to drive the system toward desired states. Our main contribution regards the formal definition, the representation, the theorems about its properties (i.e., the parallel and hierarchical composition are distributive operations), and the synthesis algorithm, proved to be complete and correct.
Improving Univariate Time Series Anomaly Detection Through Automatic Algorithm Selection and Human-in-the-Loop False-Positive Removement
Authors: Freeman Cynthia , Beaver Ian , Mueen Abdullah
Published: May 2021

The existence of a time series anomaly detection method that performs well for all domains is a myth. Given a massive library of available methods, how can one select the best method for their application? An extensive evaluation of every anomaly detection method is not feasible. Many existing anomaly detection systems do not include an avenue for human feedback, essential given the subjective nature of what even is anomalous. We present a technique for improving univariate time series anomaly detection through automatic algorithm selection and human-in-the-loop false-positive removement. These determinations were made by extensively experimenting with over 30 pre-annotated time series from the open-source Numenta Anomaly Benchmark repository. Once the highest performing anomaly detection methods are selected via these characteristics, humans can annotate the predicted outliers which are used to tune anomaly scores via subsequence similarity search and improve the selected methods for their data, increasing evaluation scores and reducing the need for annotation by 70% on predicted anomalies where annotation is used to improve F-scores.
Detecting Anomalies in Sequences of Short Text Using Iterative Language Models
Authors: Freeman Cynthia , Beaver Ian , Mueen Abdullah
Published: May 2021

Business managers using Intelligent Virtual Assistants (IVAs) to enhance their company's customer service need ways to accurately and efficiently detect anomalies in conversations between the IVA and customers, vital for customer retention and satisfaction. Unfortunately, anomaly detection is a challenging problem because of the subjective nature of what is defined as anomalous. Detecting anomalies in sequences of short texts, common in chat settings, is even more difficult because independently generated texts are similar only at a semantic level, resulting in an abundance of false positives. In addition, literature for detecting anomalies in time ordered sequences of short text is shallow considering the abundance of such data sets in online settings. We introduce a technique for detecting anomalies in sequences of short textual data by adaptively and iteratively learning low perplexity language models. Our algorithm defines a short textual item as anomalous when its cross-entropy exceeds the upper confidence interval of a trained additive regression model. We demonstrate successful case studies and bridge the gap between theory and practice by finding anomalies in sequences of real conversations with virtual chat agents. Empirical evaluation shows that our method achieves, on average, 31% higher max F1 scores than the baseline method of non-negative matrix factorization across three large human-annotated sequences of short texts.
Goal Lifecycle Networks For Robotics
Authors: Roberts Mark , Hiatt Laura M. , Shetty Vivint , Brumback Benjamin , Enochs Brandon , Jampathom Piyabutra
Published: May 2021

A Goal Lifecycle Network (GLN) is a conceptual process model that captures the progression of goals from their formulation to their completion, including planning and execution concerns. GLNs synthesize the literature on hierarchical goal networks, goal lifecycles, and plan execution. We formalize GLNs based on a state-variable representation, extend GLNs with an execution lifecycle, describe a partial reference implementation of GLNs, and show how the temporal PDDL language can be translated into GLNs for dispatchable execution. We integrate GLNs in three proof-of-concept robotics demonstrations: (1) a two-armed robot sorting items into baskets; (2) a multi-vehicle quad-rotor team surveying a region; and (3) centralized planning for a simulated disaster relief based on the Robocup Rescue League. The theory, implementation, and demonstrations highlight that GLNs are effective for goal management in the robotics systems we study.
Density Based Mode Within Radius and Its Application to EEG based Emotion Recognition
Authors: Thind Parampuneet , Katturu Vaibhav , Cha Teryn , Cha Sung-Hyuk
Published: May 2021

Statistical parameters such as center points are widely used to represent patterns in machine learning. There are three popular center points: mean, median, and mode. Mean and median are pervasively used as features to represent patterns, but mode is not because of its weakness. One of the major problems in the conventional definition of mode occurs when the distribution is multimodal with tied multiple maximum points. Hence, in this paper we propose a modified version of mode, which utilizes the density within a radius. The effectiveness of proposed mode is demonstrated in the emotion recognition application using the Electroencephalogram (EEG). An experimental result of amalgamating statistical parameters with a new modified parameter suggests the superiority of the proposed statistical parameter over the traditional measures.
Decentralized Swarm Desynchronization via Inter-agent Variation for Logistical Resupply
Authors: Wu Annie , Giordano Joseph , Mathias H. David , Pherwani Arjun
Published: May 2021

Decentralized computational swarms have been used to simulate the workings of insect colonies or hives, often utilizing a response threshold model which underlies agent interaction with dynamic environmental stimuli. Here, we propose a logistics resupply problem in which agents must select from multiple incoming scheduled tasks that generate competing resource demands for workers. This work diverges from previous attempts toward analyzing swarm behaviors by examining relative amounts of stress placed on a multi-agent system in conjunction with two mechanisms of response: variable threshold distribution, or duration level. Further, we demonstrate changes to the general swarm performance’s dependence on paired desynchronization type and schedule design, as the result of varied swarm conditions.
Cross-Device Identity Resolution using Machine Learning: A Scalable Device Graph Approach
Authors: Koduri Manasa Priya , Lim Pei Xuan , Li Zhen , Kumar Sandeep , Saleem Muhammad Aamir , Moy Roger
Published: May 2021

This paper outlines how Mediacorp, Singapore's public service broadcaster, addresses its cross-device identity challenges using a scalable device graph approach. Research in this area is relevant to the domain of advertising technology as it enables a holistic view of consumers that can be extended to use cases such as improving advertisement targeting, personalized recommendations and demographic predictions. Past research efforts were limited to high-level descriptions of the steps undertaken to create a one-off, static device graph based on data collected over a circumscribed time frame, thus limiting its use in larger-scale commercial applications. In this paper, we propose a scalable solution that enables continuous, incremental revisions of our device graph. We leverage behavioral data captured by Mediacorp across its sites and platforms to build a richer device graph that is updated weekly. First, we introduce additional features and explore various classifiers to improve pairwise probability scores between devices that are likely to belong to the same user. Then, we apply community clustering algorithms to uncover device communities to establish the final device graph. Extensive experiments showed that our additive approach has consistently delivered >90% precision and recall in real-world applications.
Feature Classification for Control System Devices
Authors: Mithu M Rayhan Ahmed , Rogers Mike , Ulybyshev Denis , Manicavasagam Rajesh , Asmar Awad Rima
Published: May 2021

Control systems are used to automate industrial processes, smart grids, and smart cities. Unfortunately, cyber attacks on control systems are on the rise. Additionally, control systems lack the plethora of tools available for commodity systems for forensic investigation. An important step towards the proper forensic investigation is to analyze device memory. To assist in identifying features  of device memory, we present a machine learning-based technique that integrates ontology information for feature classification in a control system device’s memory.
Analysis of comparative performance of deep learning models for sentiment analysis
Authors: Murtaza Mirza
Published: May 2021

Abstract

Sentiment analysis of text can be performed using machine learning and natural language processing methods. However, there is no single tool or method that is effective in all cases. The objective of this research project is to determine the effectiveness of neural network-based architecture to perform sentiment analysis of customer comments and reviews, such as the ones on Amazon site. A typical sentiment analysis process involves text preparation (of acquired content), sentiment detection, sentiment classification and analysis of results. In this research, the objective is to a) identify the best approach for text preparation in a given application (text filtering approach to remove errors in data), and, most importantly, b) what is the best machine learning (feed forward neural nets, convolutional neural nets, Long Short-Term Memory networks) approach that provides best classification accuracy.

In this research, a set of three thousand two hundred reviews of food related products were used to train and experiment with a neural network-based sentiment analysis system. The neural network implementation of six different models provided close to one-hundred percent accuracy of test data, and a decent test accuracy in mid-80%. The results of the research would be useful to businesses in evaluating customer preferences for products or services.
Proposta De Implementação De Planos De Benefícios E Incentivos Para A Redução Do Absenteísmo: Estudo De Caso Na Empresa Pedro Portella Nunes EPP
Authors: Carvalho Amanda Sousa de , Silva Clemilton Ferreira da , Santos Fabricio Lopes dos , Roberto José Carlos Alves
Published: May 2021

Diante dos fatores que levam a falta de motivação e aumento de absenteísmo, o objeto do estudo tem como base em primeira parte o diagnóstico organizacional realizado na empresa Pedro Portela EPP, localizada na cidade de Manaus, empresa do ramo de construção civil, indústria e comércio. O presente artigo tem como objetivo analisar o alto índice de absenteísmo gerado pela falta de benefícios e incentivos, elevando assim o baixo desempenho individual e coletivo dos colaboradores da empresa estudada. Fator esse que afeta diretamente a produtividade, resultados e a lucratividade dos negócios da empresa. A proposta de implementação de uma ferramenta de qualidade voltada para a melhoria de desempenho e para o fator motivacional, pretendendo obter o aumento da satisfação pessoal, baseado em problemas relacionados à falta de motivação identificados mediante pesquisas de campo. A pesquisa se caracteriza como um estudo de caso com características bibliográficas, através de referências de autores de livros, revistas e sites da internet. Tem natureza qualitativa e descritiva, uma vez que os dados foram coletados a fim de descrever os processos, relatos e os problemas da empresa identificados através entrevistas, relatórios de perguntas e respostas. A ferramenta utilizada para ação interventiva foi o 5w2h, que tem por finalidade implementar cronogramas para melhorias e alcançar resultados positivos no setor de recursos humanos, setor este que apresentou pontos fracos e pontos mais fracos na avaliação de desempenho funcional, destacando a falta de motivação e elevando o alto índice de absenteísmo.
Análise Das Demonstrações Contábeis: Um Estudo De Caso Na Fiat Automóveis S/A
Authors: Nascimento Alan Jacson Ferreira , Moura Edvander Luis de
Published: May 2021

O setor Automobilístico no Brasil, tanto internamente quanto externamente, desde a primeira revolução industrial, vem trazendo avanços para sociedade, desenvolvendo tecnologia e aquecendo a economia. Este trabalho foi realizado com o objetivo de estudar os demonstrativos financeiros e econômicos da empresa Fiat Automóveis S.A. A análise das demonstrações contábeis resume de forma ordenada a situação financeira e econômica da empresa. Serve para informar e proporcionar uma avaliação da gestão passada/presente, bem como subsidia as decisões estratégicas para gestões futuras. Através das demonstrações, como balanço Patrimonial e a demonstração do resultado do exercício, extraem-se índices de dois períodos para observar a situação financeira e econômica da empresa Fiat Automóveis S.A. A metodologia fundamentou-se em pesquisa qualitativa, bibliográfica e explicativa sobre a importância da analise de balanço. Por sua vez o resultado encontrado é de uma avaliação constituída de análise especificas, demonstrando a situação financeira e econômica da empresa, tendo como referência comparativa a gestão 2006 e 2007.
СУЧАСНІ ТЕНДЕНЦІЇ РОЗВИТКУ РИНКУ ІПОТЕЧНОГО КРЕДИТУВАННЯ В УМОВАХ ТРАНСФОРМАЦІЙНИХ ПРОЦЕСІВ ЕКОНОМІКИ УКРАЇНИ
Authors: Артем’єва Оксана
Published: May 2021

У статті розглядається сучасний стан та перспективи розвитку ринку іпотечного кредитування в Україні. Наведено дефініції щодо поняття «іпотечний кредит» з точки зору нормативно-правових актів України, позицій українських та закордонних вчених. Розглянуто фактори впливу іпотечного кредитування на розвиток економіки України та проаналізовано закордонний досвід в цій сфері. При дослідженні умов іпотечного кредитування за різними пропозиціями: банків, забудовників, державних програм встановлено переваги та недоліки різних видів іпотечних інструментів та особливу увагу приділено впровадженню в Україні державної програми «Доступна іпотека 7%». У висновках підсумовано, що для того, щоб в Україні запрацювала повноцінна іпотека, потрібні чіткі й зрозумілі програми та державні гарантії для всіх учасників угоди: забудовника, банку й позичальника, а в першу чергу – стабільна економіка.
УНІВЕРСАЛЬНА МОДЕЛЬ КОМПЕТЕНТНОСТЕЙ ДЛЯ РОБОТИ У ДИСТАНЦІЙНОМУ РЕЖИМІ
Authors: Волобоєва Ірина , Кравчук Оксана , Паращук Єлизавета
Published: May 2021

У статті представлено методологічний аспект формування та впровадження універсальної моделі компетентностей для працівників, що перейшли на дистанційний режим роботи, що й визначає актуальність та новизну дослідження. Наведено теоретичний аналіз понять “компетенція” і “компетентність”. Установлений взаємозв'язок між ними і обґрунтоване їх розмежування. Авторами досліджено соціальні та особистісні аспекти компетентності працівника, який перейшов на дистанційний формат роботи. Розроблено профіль соціально-особистісних компетентностей. Проведено професійне опитування та обґрунтовано важливість наявності компетентностей у працівників, що працюють у дистанційному режимі. Виокремлено поведінкові індикатори для ключових компетентностей. Запропонована універсальна модель компетентностей. Розраховані відповідні вагові коефіцієнти компетентностей на основі експертного опитування. Розроблено рекомендації для втілення представленої моделі та оцінювання працівників, прийняття відповідних управлінських рішень.
ОЦІНЮВАННЯ ФІНАНСОВОЇ БЕЗПЕКИ ДОМОГОСПОДАРСТВ: МЕТОДИЧНИЙ ТА АНАЛІТИЧНИЙ АСПЕКТИ
Authors: Коцюрубенко Ганна , Шикіна Наталія
Published: May 2021

У статті розглянуто існуючі наукові напрацювання щодо методики оцінювання та визначення фінансової безпеки домогосподарств. Визначено, що єдиного підходу серед наукової спільноти щодо показників та критеріїв оцінювання на даному етапі розвитку фінансової думки ще не розроблено. Досліджено складові показників для оцінювання фінансової безпеки домогосподарств як на рівні держави, так і для самооцінювання на рівні домогосподарств. Акцентовано увагу на можливості використання окремих показників що розроблені та затверджені Методичними рекомендаціями для розрахунку рівня економічної безпеки країни. Здійснено розрахунок інтегрованого показника фінансової безпеки домогосподарств. На основі здійснених розрахунків, досліджено тенденції зміни стану фінансової безпеки.
АНАЛІЗ ЕФЕКТИВНОСТІ ПОДАТКОВИХ НАДХОДЖЕНЬ ЗА УМОВ ЕКСПАНСІЇ ЦИФРОВИХ ТЕХНОЛОГІЙ
Authors: Крихівська Наталія
Published: May 2021

У статті проведено аналіз податкових надходжень та визначено питому вагу податкових надходжень у структурі доходів. Проаналізовано фіскальну ефективність у розрізі динаміки та структури прямих та непрямих податків, який показує позитивні тенденції щодо розширення відтворювальних процесів у виробничій сфері, адже темп росту надходжень прямих податків перевищує приріст непрямих. Проведено дослідження економічної ефективності, що полягає у розрахунку та аналізі показників результативності та еластичності податкових надходжень. Незважаючи на глобалізаційні тенденції діджиталізації фіску, визначено, що в Україні вплив цифрових технологій на систему оподаткування знаходиться на початковому етапі, про що свідчать виявлені неоднозначні тенденції щодо показників ефективності оподаткування та результати проведеного аналізу.
O ensino de equilíbrio químico a partir das etapas da situação de estudo: um relato de caso vivenciado por licenciandos em formação
Authors: Bonifácio Evandro , Da Silva Ana Beatriz , Hilário Gregório Ana Paula , De Lorena Stanzani Enio
Published: May 2021

Resumo: O presente artigo tem como objetivo analisar o desenvolvimento de uma Situação de Estudo (SE) para o ensino de Equilíbrio Químico, evidenciando as potencialidades dessa proposta para os processos de ensino e de aprendizagem na Educação Básica. A SE foi elaborada por dois licenciandos de um curso de Licenciatura em Química e desenvolvida em um colégio da rede pública com a participação de aproximadamente 30 estudantes do 2º ano do Ensino Médio. Dentre as atividades propostas na SE, os estudantes responderam questões relacionadas à situação em estudo, as quais foram coletadas para posterior análise, de acordo com os pressupostos da Análise de Conteúdo. Como resultado, destacamos o envolvimento dos estudantes nas atividades propostas, sendo possível constatar a reelaboração conceitual nas respostas dadas ao longo das aulas, embora alguns estudantes ainda apresentem dificuldades relacionadas à explicação e compreensão dos fenômenos químicos estudados com relação ao nível submicroscópico.Palavras-chave: Estágio Supervisionado; Situação de Estudo; Equilíbrio Químico. A proposition for the teaching of chemical equilibrium from the stages of a study situation: a case report experienced by undergraduate students in trainingAbstract: This study aims to analyze the development of a Study Situation (SS) for the teaching of Chemical Equilibrium, highlighting the potentiality of this proposition for teaching and learning processes in Basic Education. The SS was elaborated by two undergraduate Chemistry students and developed in a state school with the participation of approximately 30 students in their second year of High School. Among the activities proposed in the SS, students answered questions related to the situation under study. These answers were collected for further analysis, according to the assumptions of Content Analysis. As a result, we draw attention to students' involvement in the activities. Although some students still presented difficulties related to the explanation and understanding of the chemical phenomena studied in the submicroscopic level, it was possible to verify the conceptual re-elaboration in the answers given during the classes.Keywords: Supervised Internship; Study Situation; Chemical Equilibrium.
Educação sexual para além da sala de aula: intervenção educativa sobre HIV/AIDS para estudantes do ensino médio
Authors: Santos Marinete Silva , Santos Gilderlene Aires , Almeida Simone Marques , Batista Anny Karoline Rodrigues , Rodrigues Carlos Alailson Licar
Published: May 2021

Resumo: Este estudo objetivou verificar o papel da escola sobre a prática de prevenção e combate ao HIV/AIDS por meio de ações/programas de educação em saúde na sala de aula, e fornecer subsídios para a realização de intervenções educativas aos estudantes do Ensino Médio. Um estudo qualitativo, transversal e descritivo foi realizado através da aplicação de questionários estruturados e ações programadas na escola. Identificou-se pouco conhecimento dos alunos sobre a temática e, nesse contexto, observou-se a necessidade de inserção da temática na sala de aula e para além dela, articulando família, escola, sociedade e governo municipal com o intuito de disseminar informações e a aplicabilidade entre elas, de modo a aproximar a comunidade à realidade epidemiológica da cidade. Por fim, ficou evidente a aceitação da sociedade, demonstrando que essas práticas podem ser estimuladoras e validadas como ferramentas de promoção da cultura dos cuidados com a saúde em sala de aula.Palavras-chave: Educação em saúde; HIV/AIDS; Metodologias ativas; Projeto integrador. Sex education beyond the classroom: educational intervention about HIV/AIDS for high school studentsAbstract: This study aimed to verify the school’s role on the practice of preventing and combating HIV/AIDS through health education actions/programs in the classroom and providing subsidies for carrying out educational interventions for high school students. A qualitative, cross-sectional and descriptive study was carried out through the application of structured questionnaires and programmed actions at the school. Little knowledge of the students on the theme was identified and, in this context, the need to approach the theme in the classroom and beyond was observed, articulating the family, the school, society and municipal government in order to publicize information and theapplicability among them, in order to bring the community closer to the city’s epidemiological reality. Therefore, society's acceptance was evident, demonstrating that these practices can be stimulating and validated as tools to promote the culture of health care in the classroom.Keywords: Health education; HIV/AIDS; Active methodologies; Integrating project.
La matemática en la metacognición ó la metacognición en la matemática: metacognición – complejidad - matemática
Authors: Rodríguez Milagros Elena
Published: May 2021

Resumen: Urge el pensar profundo en estadios metacognitivos de alto impacto en el ser humano; es una de las distinciones de otros habitantes de la tierra. La lógica dialéctica y su execrar de la enseñanza develan una intencionalidad colonial. Con el transmétodo la deconstrucción, en una decolonialidad planetaria, se analizan emergente re-ligantes de la triada: metacognición-complejidad-matemática. Ubicada en la línea de investigación titulada: Educación Matemática Decolonial Transcompleja. Como conclusiones los procesos mentales: concreto-abstractos, análisis-síntesis, inducción-deducción, verdad-error, absoluto-relativo, teoría-práctica, macro-micro; entre otros; se declaran inseparables. Re-ligando emerge el gran espectro que pensar profundo es hacer matemática es tener un pensamiento complejo. Las estrategias complejas como emergentes re-ligantes develadoras de un pensar profundo en la enseñanza, son primerísima actividad de dicha ciencia. La matemática como ejercicio no soslayador decolonial lleva a la metacognición y esta no se desune de la matemática. La tríada: metacognición – complejidad – matemática no se desune. Es de urgente consideración.Palabras clave: Enseñanza de la matemática; Re-ligar; Metacognición; Complejidad; Decolonialidad. Mathematics in metacognition or metacognition in mathematics: metacognition - complexity – mathematics Abstract: It is urgent to think deeply in metacognitive stages of high impact in the human being; it is one of the distinctions of other inhabitants of the earth. The dialectical logic and its execration of teaching reveal a colonial intention. With the deconstruction transmethod, in a planetary decoloniality, emergent re-binders of the triad are analyzed: metacognition-complexity-mathematics. Located in the research line entitled: Transcomplex Decolonial Mathematical Education. As conclusions the mental processes: concrete-abstract, analysis-synthesis, induction-deduction, truth-error, absolute-relative, theory-practice,macro-micro; among others; they are declared inseparable. Re-linking the great spectrum emerges that deep thinking is doing mathematics is having complex thinking. Complex strategies as emergent re-binding revealing of a deep thinking in teaching, are the very first activity of this science. Mathematics asa decolonial non-circumventing exercise leads to metacognition and this does not get rid of mathematics. The triad: metacognition - complexity - mathematics does not fall apart. It is of urgent consideration.Keywords: Mathematics teaching, Re-linking, Metacognition, Complexity, Decoloniality.
O uso de games nos anos iniciais do ensino fundamental: o que dizem as pesquisas
Authors: Santos José Elyton Batista dos , Rodrigues Bruno Meneses , Vasconcelos Carlos Alberto Alberto de
Published: May 2021

Resumo: Neste texto apresentamos um panorama das pesquisas sobre uso de games nos anos iniciais do Ensino Fundamental a partir dos repositórios da CAPES e da Biblioteca Digital Brasileira de Teses e Dissertações (BDTD) em um recorte temporal de 2014 a 2019. Trata-se de uma pesquisa do tipo bibliográfica. Foram reunidos 17 trabalhos sobre games ou jogos digitais e após uma filtragem, analisamos nove produções. Os trabalhos revelaram que as crianças contemporâneas passam mais de duas horas do seu tempo diário fazendo uso de games e no contexto escolar, seu uso também é presente, possibilitando um ensino dinâmico e atrativo nas diferentes áreas do saber. Além disso, colabora para aprendizagem de alunos com dificuldades de aprendizagem, permite maior interação, o desenvolvimento do raciocínio lógico e estimula as relações entre objetos virtuais e reais.Palavras-chave: Anos iniciais. Games. Ensino-aprendizagem. The use of games in the first years of fundamental education: what research saysAbstract: In this text, we present an overview of research on the use of games in the early years of elementary school from the CAPES and Brazilian Digital LLibrary of Theses and Dissertations (BDTD) repositories in a time frame from 2014 to 2019. This is a bibliographic research. 17 works about games or digital games were gathered and after filtering, we analyzed nine productions. The works revealed that contemporary children spend more than two hours of their daily time using games and in the school context, their use is also present, enabling dynamic and attractive teaching in different areas of knowledge. In addition, it contributes to the learning of students with learning difficulties, allows greater interaction, the development of logical reasoning and stimulates the relationships between virtual and real objects.Keywords: Elementary school. Games. Teaching-learning.
Percepção de licenciandos sobre o papel da experimentação no ensino de química
Authors: Monteiro Paula Cavalcante , Rodrigues Maria Aparecida , Filho Ourides Santin , Batista Michel Corci
Published: May 2021

Resumo: Diante das dificuldades envolvidas no Ensino de Ciências e a necessidade de abordagens lúdicas para facilitar o processo de ensino e aprendizagem, este artigo apresenta de forma sucinta um relato de experiência vivenciada pelos pesquisadores durante a aplicação de uma gincana intitulada “compartilhando o conhecimento” realizada com alunos do 6º ano do Ensino Fundamental da Unidade Integrada Manoel Campos Sousa no município de Bom Jesus das Selvas – MA. A proposta foi desempenhada no âmbito do Programa Residência Pedagógica em maio de 2019. Os resultados apontam para a eficácia da proposta e demonstram a importância do uso dessas ações para proporcionar aos discentes de forma prazerosa o desenvolvimento da socialização, além de habilidades cognitivas.Palavras-chave: Ensino de Ciências; Lúdico; Ensino e Aprendizagem. Play and science teaching: reflections on the gincana “sharing knowledge” in the framework of the pedagogical residence programAbstract: Because the difficulties involved in Science Teaching and the need for playful approaches to facilitate the teaching and learning process, this article succinctly presents an account of the experience lived by researchers during the application of a contest called “sharing knowledge” carried out with 6th-year students of Elementary School at the Manoel Campos Sousa Integrated Unit in the municipality of Bom Jesus das Selvas - MA. The proposal was carried out within the scope of the Pedagogical Residency Program in May 2019. The results point to the effectiveness of the proposal and demonstrate the importance of using these actions to provide students with pleasure in the development of socialization, in addition to cognitive skills.Keywords: Science teaching; Playful; Teaching and learning.
Tuberculosis epidemic situation in the Khabarovsk Krai: status and trends
Authors:   Postgraduate Institute for Public Health Workers under Health Ministry of Khabarovsk Krai, Topalov K.P. , Karpenko O.L. ,   Postgraduate Institute for Public Health Workers under Health Ministry of Khabarovsk Krai, Kovalyova E.G. ,   Postgraduate Institute for Public Health Workers under Health Ministry of Khabarovsk Krai
Published: May 2021

The article presents an overview of the data of statistical observation of the Khabarovsk Krai, the Russian Federation and the Far Eastern Federal District (Okrug) on tuberculosis; their significance for assessing the epidemic situation and the quality of anti-tuberculosis care in these territories in 2002–2019 is studied. The dynamics of statistical indicators for 18 years is given using the methodology for calculating rank values. The dependence of the incidence of tuberculosis on the population density in the constituent entities of the country, the Far Eastern Federal District and its regions has been determined
Mobile Imperialism and its Fissure in Colonial Choson: Centering on Kim Namch’on’s “To Chollyong”
Authors: Lee Jinhyoung
Published: May 2021

This paper explores Japanese mobile imperialism as supported by the colonial mobility system and examines an emancipatory imagination, which enables the opening of a fissure in the system, by approaching Kim Namch’ŏn’s short story, “To Chŏllyŏng (Ch. Tieling 鐵嶺),” from the new mobilities paradigm. It argues that, via modern mobility technologies, “sociality,” i.e., the communal ethic, can be created at the core of “the social”; ergo, Korean society, dominated by colonial mobility’s rationality, constructs the colonized people as dehumanized beings while simultaneously incubating an alternative way of living, namely, “the undirected beingtogether.” The spontaneous social cohesion that results is significant, functioning as “an affirmative puissance,” which may undermine Japanese colonial rule.
From Immobility to Mobility: The Korean DMZ as a Heterotopia
Authors: Kim Taehee
Published: May 2021

While the current developments in the peace processes allow us to imagine the Korean Demilitarized Zone will acquire more thriving mobilities in the future, this article seeks to characterize this unique space as an absolutely different place; a “heterotopia” as suggested by Michel Foucault. In the course of the discussion, which focuses on (non)human (im)mobilities within the framework of the “new mobilities paradigm,” some main characteristics of the DMZ as a heterotopia are identified. Firstly, as its descriptively most prominent characteristic, the DMZ is considered a borderland between two fiercely antagonistic power politics, a borderland that comes to be realized as fluid and irremovable. Secondly, considering criticisms of this notion of heterotopia to be negligent of real power-knowledge relations, the article suggests that the DMZ as an inaccessible and immobile space controls the mobilities of all other spaces. Lastly, the article proposes that the DMZ be developed into a heterotopic space that mirrors and critically reflects the other prevailing spaces. These characteristics of the heterotopic DMZ, i.e., a fluid and irremovable borderland, an inaccessible and immobile space in power-knowledge relations, and a critically reflecting space, are put under scrutiny with the metaphors of the river, the airport, and the mirror, respectively
Considerations for the Direction of Mobility Humanities Education: Focused on Study Cases of the Mobility Humanities Education Center of Konkuk University
Authors: Kim Jooyoung
Published: May 2021

This paper attempts to find ways to utilize the new mobilities paradigm in the field
of education in Korea by presenting the case of the Mobility Humanities Education
Center established by the Academy of Mobility Humanities of Konkuk University.
Education of mobility humanities enables people to realize how mobility shapes
and changes culture and the promotion of humanistic knowledge. This kind of
education based on the mobility humanities can be valuable in convergence-based
Liberal Arts education and life-long learning in this era when the Fourth Industrial
Revolution has given rise to many conflicting ideas and considerations in the field
of education.
Circulating miR-145 as a marker of therapeutic response to anti-TNF therapy in patients with ankylosing spondylitis
Authors: Prajzlerová K , Komarc M , Forejtová Š , Pavelka K , Vencovský J , Šenolt L , Filková M
Published: May 2021

Circulating miRNAs appear promising therapeutic and prognostic biomarkers. We aimed to investigate the predictive value of circulating miRNAs on the disease outcome following anti-TNF therapy in patients with ankylosing spondylitis (AS). Our study included 19 AS patients assessed at baseline (M0), after three (M3) and twelve months (M12) of therapy. Total RNA was isolated from plasma. A comprehensive analysis of 380 miRNAs using TaqMan Low Density Array (TLDA) was followed by a single assay validation of selected miRNAs. All AS patients had high baseline disease activity and an excellent response to anti-TNF therapy at M3 and M12. TLDA analysis revealed the dysregulation of 17 circulating miRNAs, including miR-145. Single assay validation confirmed that miR-145 is significantly downregulated at M3 compared to baseline. The decrease in the levels of miR-145 from M0 to M3 negatively correlated with the change in BASDAI from M0 to M3; and positively correlated with disease activity improvement from M3 to M12 as per BASDAI and ASDAS. The predictive value of the early change in miR-145 and levels of miR-145 at M3 were further validated by Receiver operating curves analysis. We show that the early change in circulating miR-145 may be a predictor for the future outcome of AS patients treated with TNF inhibitors. Patients with a more significant decrease in miR-145 levels may show further significant improvement of disease activity after 12 months. Monitoring the expression of miR-145 in plasma in AS patients may, therefore, influence our therapeutic decision-making.
Fennel affects ovarian cell proliferation, apoptosis, and response to ghrelin
Authors: Sirotkin AV , Alexa R , Alwasel S , Harrath AH
Published: May 2021

The objective of this study was to examine the direct effects of the medicinal plant fennel (Foeniculum vulgare Mill.) on basic functions of ovarian cells, including proliferation, apoptosis, and response to the physiological hormonal stimulator, ghrelin. In the first series of experiments, porcine ovarian granulosa cells were cultured with (1, 10, 100 µg/ml) or without fennel extract. In the second series of experiments, cells were cultured with (1, 10, 100 ng/ml) or without ghrelin, alone or in combination with fennel extract (10 µg/ml). Expression of the proliferation marker, PCNA, and the apoptosis marker, bax, were analyzed via quantitative immunocytochemical methods. Fennel stimulated the accumulation of the proliferation marker, and suppressed the expression of the apoptosis marker. Ghrelin alone promoted proliferation and apoptosis of ovarian cells. The presence of fennel inhibited these ghrelin effects. These observations provide the first demonstration of (1) effects of fennel on farm animal reproduction, (2) direct effects of fennel on ovarian cells, (3) the ability of fennel to promote ovarian cell proliferation, to inhibit ovarian cell apoptosis, and to enhance the ovarian cell proliferation:apoptosis ratio. Furthermore, our results (4) confirm the involvement of ghrelin in the control of ovarian cell apoptosis and proliferation, and (5) demonstrate the ability of fennel to affect not only ovarian cell proliferation and apoptosis, but also to suppress the responses of ovarian cells to the upstream hormonal regulator ghrelin. Our results indicate the potential applicability of fennel as a bio-stimulator of farm animal reproduction.