bluuebunny/crossref_metadata_2025 huggingface dataset:
Використання композиційного рідкого палива в енергетиці України
Authors: Макаров Анатолій Семенович , Косигіна Ірина Михайлівна , Кручко Ірина Миколаївна
Published: November 2022

У статті запропоновано застосування на підприємствах енергетичного комплексу замість вугілля композиційного рідкого палива з метою зменшення шкідливого впливу на довкілля і підвищення коефіцієнта корисної дії теплових електростанцій. Обґрунтовано доцільність використання в промислових енергоустановках композиційного рідкого палива, показано його переваги порівняно з традиційними видами енергетичного палива. Запропоновано технологічну схему приготування композиційного палива на основі вугілля і рідких органічних відходів з добавками пластифікаторів та стабілізаторів, яка дозволяє не лише утилізувати промислові відходи, що містять органічні речовини, а й знизити рівень викидів шкідливих речовин.
Vulnerabilidade social: entendendo o território para enfrentamento da COVID-19
Authors: Figueiredo João Alcione Sganderla , Petry Karla , Schmidt Sabrina , Heinzelmann Larissa Schemes , Carraro Lisiana , Dutra Leticia Batista , Souza Camila Goulart de , Cruz Juliana Tassinari , Ritzel Rute Gabriele Fischoeder , Quevedo Daniela Muller De , Martins Danielle Paula
Published: November 2022

Este trabalho teve por objetivo avaliar a vulnerabilidade social a partir de características da população como meio de indicar os possíveis espaços intra urbanos com maiores chances de dispersão e contágio por COVID-19. A partir de variáveis que explicitam características sociais e ampliam a vulnerabilidade dos indivíduos, foram selecionadas informações do IBGE, tratadas por análise fatorial e mapeadas, conforme adaptação da metodologia desenvolvida pelo Centro de Estudos Sociais, em Coimbra. A escala de abrangência escolhida foi a de setores censitários, a partir de três municípios do estado do Rio Grande do Sul/Brasil. A análise resultou em 21 variáveis que possibilitam classificar cinco dimensões da vulnerabilidade das populações, indicando os locais onde ações de prevenção ao contágio devem ser mais incisivas, dadas as características populacionais, e evidenciou-se a vulnerabilização de periferias urbanas. O agrupamento de informações expressou dimensões sociais que denotam aspectos auxiliares na compreensão do território e da vulnerabilidade social em escala local. A metodologia demonstrada pode ser facilmente adotada em diferentes escalas e regiões do Brasil, e também em outros países. Esse estudo possibilitará a tomada de decisões visando evitar o contágio, e subsidiar com informações a elaboração de planos para a retomada gradual das atividades econômicas e social.
Vivienda de interés social y pandemia en Colombia. Disrupciones en las formas de habitar
Authors: Fleischer Friederike , Hurtado-Tarazona Adriana
Published: November 2022

La vivienda de interés social construida en la última década en Colombia muestra el recrudecimiento de la urbanización periférica que venía desde los años 90: series de conjuntos cerrados en áreas de expansión urbana desconectados de los centros, con problemas de acceso a bienes y servicios vitales, y con estrictas regulaciones de comportamiento en reglamentos de propiedad horizontal. En este artículo, resultado de una evaluación cualitativa y cuantitativa en cuatro regiones del país, mostramos las disrupciones sociales y económicas que trajo la pandemia a la vida de los residentes de estos conjuntos. Mostramos que la pandemia no solo afectó la vida cotidiana de los hogares y su situación económica, sino que también alteró las normas de convivencia: por un lado, se flexibilizaron las estrictas prohibiciones de actividad económica en las viviendas; por el otro, los protocolos de bioseguridad endurecieron restricciones que refuerzan las fronteras entre el adentro y afuera de los conjuntos. Analizar esta crisis de la propiedad horizontal periférica señala la importancia de repensar la organización de la vida colectiva en estas viviendas.
Currículo para a educação de primeira infância
Authors: Thiesen Juares da Silva , Durli Zenilde
Published: November 2022

O texto interroga as indicações das políticas educativas globais, protagonizadas pelos organismos internacionais, de formalização de currículos nacionais para crianças cada vez mais jovens. Aborda alguns dispositivos pelos quais essas indicações têm sido incorporadas nos textos curriculares e em demais ações na educação de primeira infância no Brasil. Tem como objetivo analisar se as reformas curriculares em curso no país estão mais inclinadas ao acolhimento da racionalidade neoliberal centrada em mudanças no campo da economia e no mercado global (internacionalização) ou nas especificidades sociais e culturais da primeira infância. Caracterizado como estudo exploratório, envolve pesquisa de documentos coletados em ambientes e repositórios digitais nacionais e internacionais diversos. O tratamento analítico considera a permeabilidade das políticas curriculares do sistema educacional brasileiro ao movimento global de internacionalização do currículo com forte inclinação à escolarização precoce na educação de primeira infância.
Functional impairment, insight, and comparison between criteria for gaming disorder in the International Classification of Diseases, 11 Edition and internet gaming disorder in Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition
Authors: Yen Ju-Yu , Higuchi Susumu , Lin Pei-Yun , Lin Pai-Cheng , Chou Wei-Po , Ko Chih-Hung
Published: November 2022

Aim

This study evaluated the consistency between the International Classification of Diseases, 11th Edition (ICD-11) for gaming disorder (ICD-11-GD) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) criteria for internet gaming disorder (DSM-5-IGD). Moreover, the functional impairment of participants and their insight of their GD were evaluated.

Methods

We recruited 60 participants with GD, 45 participants who engaged in hazardous gaming (HG), and 120 controls based on a diagnostic interview. Their operationalization of functional impairment and stage of change were evaluated by interviews and questionnaires, including the Brief Gaming Negative Consequence Scale (BGNCS).

Results

We observed satisfactory consistency (kappa value = 0.80) with a diagnostic accuracy of 91.5% between the ICD-11-GD and DSM-5-IGD criteria. Furthermore, 16 participants with IGD in DSM-5 were determined to have HG based on the ICD-11 criteria. Participants of GD group experienced impaired functioning in their health (96.7%), career (73.3%), social life (61.6%), academic performance (36.7%), and job performance (35%). Moreover, a proportion of them were in the pre-contemplation (25.0%), contemplation (61.7%), preparation (10%), and action stages (3.3%).

Conclusion

There is a good consistency between ICD-11-GD and DSM-5-IGD criteria. The ICD-11 criteria have a high threshold for diagnosing GD. HG criteria could compensate for this high threshold and identify individuals with a gaming-related functional impairment who require help. Most of the participants with GD were in the early stage of change. Interventions to promote their insight are essential. The BGNCS can be used to examine the negative consequences of gaming and aid mental health professionals in assessing functional impairment.
Metal-insulator Transitions in Three-component Falicov-Kimball Model within Coherent Potential Approximation
Authors: Nguyen Thi Huong , Hoang Anh Tuan , Le Duc  Anh
Published: November 2022

We apply the coherent potential approximation to study the three-component Falicov - Kimball model, in which single-component and two-component fermionic particles are mixed in an optical lattice. In the model, the heavy single-component fermionic particles are localized while the light two-component fermionic particles can hop in the lattice. At half-filling, two transitions from an insulator via a metallic state to a Mott insulator are found with increasing the particle correlations. By contrast, at third-filling, only one transition from the metallic state to the Mott insulating phase is observed for strong repulsive interactions. Our results are consistent with those obtained by the dynamical mean field theory as well as by the slave boson mean field approach.
Review of the latest publications on Eastern Christian topics published by Harrassowitz Verlag
Authors: Buzykina I. N.
Published: November 2022

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Investigating the Role of Ensemble Learning in High-Value Wine Identification
Authors: Portinale Luigi , Locatelli Monica
Published: November 2022

We tackle the problem of authenticating high value Italian wines through machine learning classification. The problem is a seriuos one, since protection of high quality wines from forgeries is worth several million of Euros each year. In a previous work we have identified some base models (in particular classifiers based on Bayesian network (BNC), multi-layer perceptron (MLP) and sequential minimal optimization (SMO)) that well behave using unexpensive chemical analyses of the interested wines. In the present paper, we investigate the role of esemble learning in the construction of more robust classifiers; results suggest that, while bagging and boosting may significantly improve both BNC and MLP, the SMO model is already very robust and efficient as a base learner. We report on results concerning both cross validation on two different datasets, as well as experiments with models trained with the above datasets and tested with a dataset of potentially fake wines; this has been synthesized from a generative probabilistic model learned from real samples and expert knowledge.
Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees
Authors: Soemers Dennis , Brys Tim , Driessens Kurt , Winands Mark , Nowé Ann
Published: November 2022

Credit card transactions predicted to be fraudulent by automated detection systems are typically handed over to human experts for verification. To limit costs, it is standard practice to select only the most suspicious transactions for investigation. We claim that a trade-off between exploration and exploitation is imperative to enable adaptation to changes in behavior (concept drift). Exploration consists of the selection and investigation of transactions with the purpose of improving predictive models, and exploitation consists of investigating transactions detected to be suspicious. Modeling the detection of fraudulent transactions as rewarding, we use an incremental Regression Tree learner to create clusters of transactions with similar expected rewards. This enables the use of a Contextual Multi-Armed Bandit (CMAB) algorithm to provide the exploration/exploitation trade-off. We introduce a novel variant of a CMAB algorithm that makes use of the structure of this tree, and use Semi-Supervised Learning to grow the tree using unlabeled data. The approach is evaluated on a real dataset and data generated by a simulator that adds concept drift by adapting the behavior of fraudsters to avoid detection. It outperforms frequently used offline models in terms of cumulative rewards, in particular in the presence of concept drift.
Computer-Assisted Authoring for Natural Language Story Scripts
Authors: Sanghrajka Rushit , Witoń Wojciech , Schriber Sasha , Gross Markus , Kapadia Mubbasir
Published: November 2022

In order to assist scriptwriters during the process of story-writing, we have developed a system that can extract information from natural language stories, and allow for story-centric as well as character-centric reasoning. These inferencing capabilities are exposed to the user through intuitive querying systems, allowing the scriptwriter to ask the system questions about story and character information. We introduce knowledge bytes as atoms of information and demonstrate that the system can parse text into a stream of knowledge bytes and use these mentioned reasoning capabilities through logical reasoning.
Aida: Intelligent Image Analysis to Automatically Detect Poems in Digital Archives of Historic Newspapers
Authors: Soh Leen-Kiat , Lorang Elizabeth , Liu Yi
Published: November 2022

We describe an intelligent image analysis approach to automatically detect poems in digitally archived historic newspapers. Our application, Image Analysis for Archival Discovery, or Aida, integrates computer vision to capture visual cues based on visual structures of poetic works—instead of the meaning or content—and machine learning to train an artificial neural network to determine whether an image has poetic text. We have tested our application on almost 17,000 image snippets and obtained promising accuracies, precision, and recall. The application is currently being deployed at two institutions for digital library and literary research.
Conversational Model Adaptation via KL Divergence Regularization
Authors: Li Juncen , Luo Ping , Lin Fen , Chen Bo
Published: November 2022

In this study we formulate the problem of conversational model adaptation, where we aim to build a generative conversational model for a target domain based on a limited amount of dialogue data from this target domain and some existing dialogue models from related source domains. This model facilitates the fast building of a chatbot platform, where a new vertical chatbot with only a small number of conversation data can be supported by other related mature chatbots. Previous studies on model adaptation and transfer learning mostly focus on classification and recommendation problems, however, how these models work for conversation generation are still unexplored. To this end, we leverage a KL divergence (KLD) regularization to adapt the existing conversational models. Specifically, it employs the KLD to measure the distance between source and target domain. Adding KLD as a regularization to the objective function allows the proposed method to utilize the information from source domains effectively. We also evaluate the performance of this adaptation model for the online chatbots in Wechat platform of public accounts using both the BLEU metric and human judgement. The experiments empirically show that the proposed method visibly improves these evaluation metrics.
Learning to Compose Task-Specific Tree Structures
Authors: Choi Jihun , Yoo Kang Min , Lee Sang-goo
Published: November 2022

For years, recursive neural networks (RvNNs) have been shown to be suitable for representing text into fixed-length vectors and achieved good performance on several natural language processing tasks. However, the main drawback of RvNNs is that they require structured input, which makes data preparation and model implementation hard. In this paper, we propose Gumbel Tree-LSTM, a novel tree-structured long short-term memory architecture that learns how to compose task-specific tree structures only from plain text data efficiently. Our model uses Straight-Through Gumbel-Softmax estimator to decide the parent node among candidates dynamically and to calculate gradients of the discrete decision. We evaluate the proposed model on natural language inference and sentiment analysis,  and show that our model outperforms or is at least comparable to previous models. We also find that our model converges significantly faster than other models.
A Knowledge-Grounded Neural Conversation Model
Authors: Ghazvininejad Marjan , Brockett Chris , Chang Ming-Wei , Dolan Bill , Gao Jianfeng , Yih Wen-tau , Galley Michel
Published: November 2022

Neural network models are capable of generating extremely natural sounding conversational interactions.  However, these models have been mostly applied to casual scenarios (e.g., as “chatbots”) and have yet to demonstrate they can serve in more useful conversational applications. This paper presents a novel, fully data-driven, and knowledge-grounded neural conversation model aimed at producing more contentful responses.  We generalize the widely-used Sequence-to-Sequence (Seq2Seq) approach by conditioning responses on both conversation history and external “facts”, allowing the model to be versatile and applicable in an open-domain setting.  Our approach yields significant improvements over a competitive Seq2Seq baseline. Human judges found that our outputs are significantly more informative.
Variational Recurrent Neural Machine Translation
Authors: Su Jinsong , Wu Shan , Xiong Deyi , Lu Yaojie , Han Xianpei , Zhang Biao
Published: November 2022

Partially inspired by successful applications of variational recurrent neural networks, we propose a novel variational recurrent neural machine translation (VRNMT) model in this paper. Different from the variational NMT, VRNMT introduces a series of latent random variables to model the translation procedure of a sentence in a generative way, instead of a single latent variable. Specifically, the latent random variables are included into the hidden states of the NMT decoder with elements from the variational autoencoder. In this way, these variables are recurrently generated, which enables them to further capture strong and complex dependencies among the output translations at different timesteps. In order to deal with the challenges in performing efficient posterior inference and large-scale training during the incorporation of latent variables, we build a neural posterior approximator, and equip it with a reparameterization technique to estimate the variational lower bound. Experiments on Chinese-English and English-German translation tasks demonstrate that the proposed model achieves significant improvements over both the conventional and variational NMT models.
Question-Answering with Grammatically-Interpretable Representations
Authors: Palangi Hamid , Smolensky Paul , He Xiaodong , Deng Li
Published: November 2022

We introduce an architecture, the Tensor Product RecurrentNetwork (TPRN). In our application of TPRN, internal representations—learned by end-to-end optimization in a deep neural network performing a textual question-answering(QA) task—can be interpreted using basic concepts from linguistic theory. No performance penalty need be paid for this increased interpretability: the proposed model performs comparably to a state-of-the-art system on the SQuAD QA task.The internal representation which is interpreted is a Tensor Product Representation: for each input word, the model selects a symbol to encode the word, and a role in which to place the symbol, and binds the two together. The selection is via soft attention. The overall interpretation is built from interpretations of the symbols, as recruited by the trained model, and interpretations of the roles as used by the model. We find support for our initial hypothesis that symbols can be interpreted as lexical-semantic word meanings, while roles can be interpreted as approximations of grammatical roles (or categories)such as subject, wh-word, determiner, etc. Fine-grained analysis reveals specific correspondences between the learned roles and parts of speech as assigned by a standard tagger(Toutanova et al. 2003), and finds several discrepancies in the model’s favor. In this sense, the model learns significant aspectsof grammar, after having been exposed solely to linguistically unannotated text, questions, and answers: no prior linguistic knowledge is given to the model. What is given is the means to build representations using symbols and roles, with an inductive bias favoring use of these in an approximately discrete manner.
Rhyzopertha dominica (F., 1792) (Coleoptera: Bostrichidae)’nın Türkiye popülasyonlarındaki fosfin direncinde bioassay ile moleküler markörün karşılaştırılması
Authors: YILMAZ Abdullah , KOÇAK Erhan
Published: November 2022

Fosfin gazı depolanmış hububattaki böceklere karşı dünya genelinde kullanılan ana pestisittir. Türkiye’de de 1950’lerden itibaren kullanılmaktadır. Bu fumiganta karşı dünya genelinde böceklerde direnç artışı önemli bir problemdir. Bu çalışmada ekin kambur böceği, Rhyzoperta dominica (F., 1792) (Coleoptera: Bostrichidae)’nın ülkemizde 12 ilden 18 popülasyonundaki fosfin dirençleri 2013-2017 yılları arasında belirlenmiştir. Ayırıcı doz çalışmaları 15 popülasyonda fosfin direnci geliştiğini göstermiştir. Bu popülasyonlarda doz-yanıt bioassayleri, direnç oranlarının 96-533 kat arasında değiştiğini göstermiştir. Ayrıca, fosfin direncine sahip bu popülasyonlarda DLD (dihydrolipoamide dehydrogenase) geninde amino asit mutasyonunu gösteren mevcut moleküler direnç markörü P49S test edilmiştir. R direnç alleli bu 15 popülasyonda yüksek frekansta (%83.7) belirlenmişken hassas olan üç popülasyonda ise belirlenmemiştir. Dirençli popülasyonlardaki 324 bireyden elde edilen genetic sonuçlara göre homozigot direnç, heterozigot direnç ve homozigot hassas allel oranları sırasıyla %62.0, 18.9 ve 19.1 olarak belirlenmiştir. Türkiye R. dominica popülasyonlarında genetik markör ile fosfin direncini belirleme sonuçlarının bioassay sonuçlarıyla kıyaslanabilir olduğu görülmüştür. Sonuçta, fosfin direncinin genetik olarak testlenmesi Türkiye’de direnç yönetimini kolaylaştıracaktır.
Cryogenic (H2O)n-GCIB-SIMS imaging v1
Authors: Tian Hua
Published: November 2022

The protocol describes the imaging of frozen-hydrated biological sample using high resolution mass spectrometry imaging, water gas cluster ion beam secondary ion mass spectrometry (H2O)n-GCIB-SIMS).
NCBI submission protocol for SARS-CoV-2 wastewater data: SRA, BioSample, and BioProject v2
Authors: Timme Ruth
Published: November 2022

PURPOSE: This method was developed at the FDA’s Center for Food Safety and Applied Nutrition for GenomeTrakr Laboratories; however, this protocol was written to be broadly applicable for any wastewater sequence data submission to NCBI. This protocol covers the last step of making your data public at NCBI. Specifically, it provides the steps to establish a new NCBI submission environment for your laboratory, including the creation of new BioProject(s) and submission groups. Once these are step up, the protocol steps through the process for submitting raw reads to SRA and sample metadata to BioSample through the Submission portal. For new submitters, there's quite a bit of groundwork that needs to be established before a laboratory can start its first data submission. We recommend that one person in the laboratory take a few days to get everything set up in advance of when you expect to do your first data submission. If you need a pipeline for frequent or large volume submissions, follow Step 1 in this protocol to get your NCBI submission environment established, then contact gb-admin@ncbi.nlm.nih.gov to set up an account for submitting through the API. Version updates: V2: minor edits to the BioSample and SRA templates V3: Adapted the protocol to be more broadly applicable to submitters outside of FDA's wastewater project. Updates were also made to both metadata templates, including a new attribute to the SRA metadata template, called "enrichment_kit". V4: updates to BioSample and SRA templates: expanded picklists, addition of specimen processing attributes for including replicate info, and the removal of target_extract attribute for reporting level of target found in the sample. V5: includes guidance for submitting BioSamples with no linked sequence data. V6: Updated templates. BioSample: added picklist for PCR concentration units. SRA: added new quality control attributes. V7: SRA and BioSample template updates V8: SRA template updates. "Illumina COVIDSeq Assay" added to library_preparation_kit, "QIAseq DIRECT SARS-CoV-2 - Boosted" added to amplicon_PCR_primer_scheme, "low coverage of characteristic mutations" added to quality_control_issues. minor edits to the protocol are also included in this update. V10: Minor edits to generalize the protocol for broader usage. Picklist updates made to the BioSample and SRA templates.
Effect of Text-Only vs. Video Enhanced Instructions to Tasks on Language Comprehension in a Foreign Language Online Course
Authors: Stone Mariana
Published: November 2022

This paper aims to explore the effect of types of instructions to tasks, text only vs. video enhanced, on student engagement and language production in an online learning environment. The online learning platforms are text heavy. Although teachers have incorporated video explanations and audio-visual input, the linguistic input in the form of “instructions to tasks” has remained mostly in text form. In face-to-face foreign language classes the moments where teachers explain the task are considered valuable linguistic input teaching moments that appear to be lost in the online environment. The purpose of this project is to evaluate if there is a significant difference in quantity and quality of language production by the student depending on what format the instructions to tasks. Secondary to this goal is exploring what are the students’ attitudes and preferences towards the format of those instructions. Results from this small-scale study show that participants in the video enhance group displayed a tendency to enriched quantity and quality of language production. The context of this study is the foreign language classroom, but it can benefit other content areas as well.
Effect of Pedagogical Competences of English Language Teachers on Their Students’ Academic Achievement: A Qualitative Study
Authors: Channa Wali Muhammad , Sahito Zafarullah
Published: November 2022

Teachers play a vital role in education. The academic results are related to the professional abilities of the teachers. Therefore, teachers must possess pedagogical competence. In this context, the objectives of this research study are to investigate the pedagogical competencies of college teachers in Sukkur, Sindh, Pakistan. This study involves a qualitative case study. The findings show that the teachers' competence to teach affects how well the students do in their academics.
Communicative Competence Fostered in a Nested EFL Learning Ecology: Technology-Enhanced Learning in the Chinese Context
Authors: Yuan Li
Published: November 2022

This study investigates the self-perceived effectiveness of a nested EFL learning model designed to create an affordance-rich learning ecology to help EFL learners realize the co-evolution of vocabulary knowledge and communicative competence. Adopting an action research approach, this study examined the predicament college students encountered under the CLT paradigm in the Chinese context, and the learning difficulties were identified. A nested EFL learning model was designed to address the issue by creating an effective learning environment in which micro, meso and exo systems interacted with each other to provide multi-mode usage events for the EFL learners’ language development. Quantitative data was collected from two online surveys (N=91) and analyzed with IBM SPSS 26, and qualitative data was elicited from students’ reflective accounts. The results revealed that the model positively affected students' language development regarding their vocabulary acquisition, listening and speaking proficiency. Other benefits derived from the learning experience outside the classroom, represented by an innovative WeCo (We Connect) reports project based on WeChat, are reflected in students’ growing self-confidence as EFL learners and their awakening consciousness to learn English by using the language. Some constructive suggestions were proposed to improve the model. The design in this study provides a solution to the learning difficulties perplexing most EFL learners. It sheds light on how teacher-guided self-regulated English learning beyond the classroom can be augmented by modern technologies to develop communicative competence accompanied by the growth of productive vocabulary knowledge.
Computer-Based Vocabulary Learning in the English Language: A Systematic Review
Authors: Regina D. , V Anitha Devi.
Published: November 2022

The goal of this article is to assess the efficiency of computer-based vocabulary instruction in English language classrooms and evaluate research on the usefulness of computer-based vocabulary acquisition, particularly in English language classes. The articles for the systematic review were selected from open-access databases. The present study adopts the systematic literature review (SLR) method to evaluate studies from 2010 to 2020. A total of one hundred and fifty sources were selected and analysed. Finally, forty articles were carefully chosen, focusing on the inclusion and exclusion criteria. Computer-based, multimedia and game-based vocabulary learning in English classrooms were the subjects of the study to address the research questions. The findings indicate that computer-based vocabulary learning is a frequent and effective approach to developing retention and learning new words. The study hopes that the suggestion is useful for researchers involved in English vocabulary learning and that, for further research, well-designed experimental studies can develop new options in learning vocabulary with the computer.
Algorithms for Planning Smoothed Individual Trajectories of Ground Robots
Authors: Kostjukov V. A. , Medvedev M. Y. , Pshikhopov V. Kh.
Published: November 2022

The article is devoted to the development of an algorithm for constructing the trajectory of a robotic platform moving in an environment with obstacles. This algorithm is based on the application of a special local optimization procedure at each planning step and allows us to obtain feasible program trajectories without increasing the computational complexity of algorithms compared to existing methods. The algorithm is based on the application of the improved method of potential fields and subsequent smoothing of the resulting trajectory. The improving of the potential field method consists in a new way of detecting and avoiding local minima. When a local minimum is detected, it is added to the map as an additional obstacle, which makes it possible to avoid it during further trajectory planning. To circumvent obstacles that can be approximated by polygons, the method of the effective point to the obstacle is proposed, which is the equivalent of the latter in relation to the current location of the moving robotic platform when using this planning method. A two-stage technique for smoothing piecewise linear trajectories is proposed. It is assumed that there is some initial suboptimal curve found by any planning method. This curve is optimized using a functional that includes the length of the trajectory and the deviation of the optimized curve from the original curve. At the second stage, the linear segments of the planned straight line are conjugated with second-order curves. As a result, the planned trajectory of motion is a quadratic-linear curve with a smooth function of the trajectory velocity. At the same time, the proposed method of coupling rectilinear sections of the trajectory does not require sudden changes in speed when passing turns. Simulation results confirming the effectiveness of the proposed method of planning the trajectories of robots are considered and discussed.
Terms and conditions of single phase to earth fault current full compensation in 610 kV cable networks with neutral point grounded via arc suppression coil
Authors:   Ivanovo State Power Engineering University, Tyutikov V.V. , Kutumov Y.D. ,   Ivanovo State Power Engineering University, Shadrikova T.Y. ,   Ivanovo State Power Engineering University, Shuin V.A. ,   Ivanovo State Power Engineering University
Published: November 2022

To improve the reliability of power supply of consumers, a significant part of 6–10 kV cable networks (in Russia about 20 %) operate with resonant neutral grounding via arc suppression coil (ASC) (single-phase earth fault capacitive current compensation). This neutral grounding mode provides suppression of arcing earth faults accompanied by dangerous overvoltage and reduction of current at the point of fault by compensating the capacitive component of the elementary frequency. Field experience of operation of 6–10 kV compensated cable networks has shown that the reason of the decrease of the efficiency of the neutral grounding mode is an increase of the residual current at the point of fault. It happens due to the active component of the elementary frequency and higher harmonic components that are not compensated via ASC up to the values when long time arc duration and transition of the earth fault to the short circuit become possible. The existing solutions of the problem of full compensation of the current of a single-phase earth fault are not sufficiently developed and substantiated. Thus, the solution of the problem to increase the efficiency of grounding the neutral of the network via ASC can be achieved by developing and implementing methods and devices of the full compensation of the earth fault current, including the active component of the elementary frequency and higher harmonic components. To achieve the terms and conditions of full compensation of the current components of a single-phase earth fault, the classical theory of electrical circuits has been used. To verify the validity of the results obtained, simulation modeling in the Matlab software package has been carried out. For an electrical network with neutral grounding via ASC, the authors have obtained a general mathematical description of the terms and conditions of full current compensation at the point of earth fault, including higher harmonic components and transient components. The authors have defined the requirements for accuracy to determine the moment of a single-phase earth fault and the voltage value of the damaged phase when insulation fault occurs. Possible options of algorithms to compensate higher harmonics in the current of stable earth fault are proposed. The obtained general mathematical description of the terms and conditions of full current compensation at the point of a single-phase earth fault in 6–10 kV compensated cable networks allows us to substantiate existing methods and develop new ones to compensate both the total current at the point of fault and its components.
Practical issues of fault location at extra-high voltage overhead transmission lines using RTDS-based synchrophasor measurements
Authors:   Ivanovo State Power Engineering University, Yablokov A.A. , Ivanov I.E. ,   Ivanovo State Power Engineering University, Kulikov F.A. ,   Ivanovo State Power Engineering University, Tychkin A.R. ,   Ivanovo State Power Engineering University, Panaschatenko A.V. ,   LLC Scientific Development and Production Center “Digital Instrument Transformers”, Saveliev V.A. ,   Ivanovo State Power Engineering University
Published: November 2022

Application of Phasor Measurement Unit (PMU) is a modern technology in electric power systems with quite a few possible applications. Remote identification of fault location (FL) at extra-high voltage transmission lines is one of the possible applications of PMU. The number of research works dedicated to this issue is rather limited. Also, there is no in-depth analysis of the PMU digital filter performance in case of short circuit; some factors that affect the FL accuracy are not covered; and the number of methods to identify FL remotely is insufficient. The current research goal is to study all the above-mentioned issues. The research has been conducted using the methods of mathematical modeling of fault-initiated transients represented with a real-time digital simulator RTDS (including the RSCAD software). A total of 16 FL expressions both in Russian and foreign scientific papers have been analyzed. Monte-Carlo method has been used to assess the impact of various factors on the FL accuracy. The PMU functionality presented in the RTDS simulator has been used to obtain required synchrophasors. A typical timespan of faults at extra-high voltage transmission lines has been deduced (it turns out to be at least three cycles of the fundamental frequency component). Dynamic characteristics of both M and P class PMUs have been thoroughly examined. The authors have made a conclusion that PMU-based FL is as accurate as that provided by conventional FL units. The influence of some major factors on the FL results has been investigated as well. PMU-based FL is considered to be a promising application. At the same time, P filter class PMUs are primarily used. One is to avoid getting synchrophasor data of different class PMUs at the line terminals. The obtained results are meant to be introduced to improve the PMU-based FL accuracy, especially in the context of processing real PMU data.
Development of optimality criteria for mechatronic systems using fuzzy logic apparatus
Authors:   Ivanovo State Power Engineering University, Anisimov A.A. , Sorokovnin M.E. ,   Ivanovo State Power Engineering University, Tararykin S.V. ,   Ivanovo State Power Engineering University, Tselischev E.S. ,   Ivanovo State Power Engineering University
Published: November 2022

Currently, the problem to develop the optimality criterion in terms of parametric synthesis of state regulators of mechatronic systems is truly relevant. The optimality criteria developed earlier are based on the use of indirect quality indicators of automatic control systems. These criteria are mostly focused on providing an analytical solution of the synthesis problem than on the real properties of the systems. To consider all the requirements for the system, it is necessary to transfer from indirect optimality criteria to direct ones. It provides a compromise between the main requirements considering the specific features of the system. In this regard, to optimize electromechanical systems it is proposed to use a complex optimality criterion based on the mathematical apparatus of fuzzy logic. As part of the study, state space methods are used to develop a vector-matrix model of an object and synthesize a state controller. The calculation of the optimality criterion according to the determinable quality indicators is based on the mathematical apparatus of fuzzy logic. Development of a fuzzy model is conducted by means of the modeling tools of the Matlab software package. To find the optimal parameters of the regulator search optimization methods are used. A new optimality criterion for mechatronic systems has been developed and studied. It is based on the use of fuzzy logic apparatus, which makes it possible to more fully consider the set of specified technical requirements for their design. The results of the conducted computational experiments have proved the effectiveness of the developed criterion and optimization algorithms. Designers can effectively use the obtained results for parametric optimization to enhance diverse types of mechatronic systems with state controllers.
Mathematical model of flow characteristics of steam turbine plant
Authors:   Ivanovo State Power Engineering University, Bubnov K.N. , Zhukov V.P. ,   Ivanovo State Power Engineering University, Gorshenin S.D. ,   Ivanovo State Power Engineering University, Barochkin E.V. ,   Ivanovo State Power Engineering University
Published: November 2022

A large number of generating equipment installed at thermal power plants (TPPs) operate at the limit of their fleet life resource or beyond it. Malfunctions and defects occur during the entire period of operation of steam turbine plant (STP) of TPPs. It causes performance degradation of efficiency, reliability, and maneuverability of STP. Thus, the methods to provide monitoring over the technical position of the elements and/or functional units of steam turbine plant are to be applied. Hence, special attention is to be paid to the development of methods to monitor the technical position and diagnostics of generating equipment of TPPs. The methods are based on a mathematical model of flow characteristics of steam turbine plants. It allows us to consider the effect of changes in the open flow area of the individual compartments of a steam turbine on the pressure distribution over the flow path. To develop the model, the authors have applied mathematical modeling methods and the balance relations of mass and energy methods. The solution of the equations of the obtained linear and nonlinear systems is carried out by methods of computational mathematics. Calculation of thermodynamic parameters of the coolant is carried out based on tables of properties of water and water vapor and software for their description. A mathematical model of a steam turbine plant has been developed. It represents a set of linear and nonlinear algebraic equations that consider the flow discharge characteristics of the steam turbine compartments. Also, it makes possible to assess the technical position and it considers the effect of defects on the pressure distribution over the flow path of the steam turbine. The results of the statistical analysis prove that the model has been recognized adequate under the variation range in the electrical load. The results of the development of mathematical steam turbine plant model can be used to develop intelligent systems to monitor and diagnose power generating equipment of TPPs. Application of these systems allow the management of the TPP to change over from the system of preventive maintenance of equipment to the system of the repair of equipment according to technical position.
Validation of the Multiresidue Method Analysis for Pesticides in Bee Honey by UPLC-MS/MS using the Method of Samples Preparation QuEChERS
Authors:   State Research Institute for Laboratory Diagnostics and Veterinary Sanitary Examination, Ukraine, Omelchun Y.A. , Kobish A.I. ,   State Research Institute for Laboratory Diagnostics and Veterinary Sanitary Examination, Ukraine, Klochkova N.P. ,   State Research Institute for Laboratory Diagnostics and Veterinary Sanitary Examination, Ukraine, Shevchenko L.V. ,   National University of Life and Environmental Sciences, Ukraine
Published: November 2022

In this paper we present the results of evaluating the suitability of the developed method for the simultaneous determination of 200 pesticide residues in bee honey using ultraperformance liquid chromatography - tandem mass spectrometry (UPLC-MS/MS). The main stages of extraction of pesticides from the matrix using QuEChERS (Quick Easy Cheap Effective Rugged Safe) sample preparation are described. Appropriate mobile phase composition was used to better identify analytes, internal standards were not applied. The studied list of pesticides is relevant for use in modern agriculture. The limit of quantification of the method (LOQ) for each of the analytes is 0.001 mg/kg, the relative standard deviation in the conditions of repeatability and reproducibility < 20.0 %, the expanded measurement uncertainty is less than the limit of regulatory requirements < 50.0 %. The calibration graph for each of the analytes had a coefficient R2 > 0.99. The use of QuEChERS sample preparation methods allows to reduce labor intensity, time and reagents, increase the accuracy and precision of research in comparison with classical methods of sample preparation. The described method makes it possible to detect a wide range of pesticides and has a fairly high sensitivity
Columna Vertebralis Hareketlerinin Değerlendirilmesinde İnklinometre ve Radyolojik Ölçümün Karşılaştırılması
Authors: IŞIK Hilal , KOÇ Gizem Gül , ÖĞÜT Emre , IŞIK Emir İbrahim
Published: November 2022

Omurga hareketleri bireylerin klinik, fiziksel ve fonksiyonel değerlendirilmesi sırasında sıklıkla ölçülebilmektedir. Bu hareketlerin ölçümü için tercih edilen araçlardan biri de inklinometrelerdir. Kas-iskelet sistemi değerlendirmesi için geçerli bilimsel yöntemlerin kullanılması gerektiği göz önüne alındığında, bu çalışmanın amacı, omurga hareketlerini ölçmek için inklinometrelerin geçerliliği hakkında bir literatür taraması yapmaktır. PubMed elektronik veri tabanında “inclinometer”, “spine”, “vertebrae” ve “columna vertebralis” anahtar kelimeleri kullanılarak arama yapılmıştır. Çalışma analizi süreci, başlıkların, özetlerin ve tam metinlerin okunmasını içermiştir. Belirlenen kriterler kontrol edildikten sonra, altı makale derlemeye dâhil edilme kriterlerini karşılamıştır. Dâhil edilen tüm çalışmalar, omurganın radyografik ölçümü ve inklinometre ile elde edilen açısal ölçümlerin bir arada incelendiği tasarım sunmaktadır. Kullanılan veri toplama yöntemlerinde ve çalışmaların sonuçlarında değişkenlik gözlemlenmiştir. İnklinometrelerin sağlık profesyonelleri tarafından bilimsel kanıtlara dayalı olarak kullanılması, bu araçların geçerlik çalışmalarında kullanılan sonuçları ve metodolojik yönlerinin dikkate alınması önerilmektedir.
Senkretik ve Marjinal Bir Hareket Olarak Yahudi Yenilenmesi Hareketi
Authors: BAĞIR Muhammed Ali , YAMAN Hatice Kübra
Published: November 2022

Yahudi Yenilenmesi Hareketi, Hasidik kökleri olan Ortodoks bir aileye mensup Rabbi Zalman Schachter-Shalomi (1924-2014) tarafından kurulan senkretik karakterli bir Yahudi dini hareketidir. Amerika kökenli bir dini hareket olan Yahudi Yenilenmesi Hareketi, modern dönemde Yahudiler tarafından yapılan moderniteye göre şekillenme çabalarının en yeni ifadelerinden biridir. Hasidilik’ten beslenmesi, 1960’ların karşı kültür hareketinden derinden etkilenmesi, Yahudilik dışındaki bazı mistik unsurları kabul etmesi ve geleneksel Yahudi yaklaşımlarını çağdaş terimlerle yeniden şekillendirmesi en dikkat çekici yönleridir. Hareket bir yandan manevi uygulamalara yoğun bir vurgu yaparken bir yandan da feminizm, cinsiyet eşitliği ve çevre bilinci gibi modern dünyanın gündeminde olan sosyal değerler üzerinde durur. Bu makalede, Yahudi Yenilenmesi Hareketi’nin ortaya çıkış sürecinde yaşananlar ve hareketi geleneksel Yahudilikten ayıran temel fikirleri üzerinde durulacaktır. Yahudi Yenilenmesi Hareketi’nin modern dönemde farklı yaklaşımlar arayan Yahudiler için bir alternatif olup olamayacağı irdelenecektir.
Augmentative and Alternative Communication School and Home Connection for Children with Autism
Authors:   , Ogilvie Hailey S. , Vorndran Christina M.
Published: November 2022

Augmentative and alternative communication (AAC) is a methodology Speech Language Pathologists (SLPs) utilize to help facilitate functional communication for a child who is non-verbal or limited-verbal. There are often disconnects in a student's generalization of AAC usage across the school and home environment. The purpose of this case study was to explore a phenomenon that exists in which some students with autism generalize their use of AAC in both the school and at home while others only use their AAC device in the school setting. The questions for this qualitative case study focused on determining why a lack of generalization versus successful generalization occurs between the home and school environment for students with autism who use AAC as a form of communication as relayed by SLP's experiences and perspectives. Furthermore, research questions expanded to explore specifically how school-based SLPs can promote students with autism to generalize their use of AAC between the school and home setting. . Data to answer these questions was gathered through six semi-structured interviews and one focus group. This study resulted in data to expand a SLP's understanding of why success in generalization or a lack of generalization occurs for students with autism who use AAC to communicate. The results and recommendations of this study hope to further build on the research on topics of family-centered practice, AAC, and Autism and help SLPs understand how to promote AAC generalization and service delivery best. Keywords: AAC, family-centered practice, generalization, autism, speech-language pathologist