ABSTRACT Objective: To present the retrieval and analysis of clinical data from anamneses in the. Electronic Health Record (EHR), referred to in this research as Interface Terminology. Methods: The clinical data collection process in this research was carried out on electronic patient records from a private hospital. The data sample consisted of 18,256 anamneses from the field of gynecology in 2018. The clinical data was retrieved through Natural Language Processing using the Python language. The most frequent terms related to clinical data were analysed, such as abbreviations and acronyms, stop words, procedures, and n-grams. Results: Clinical data has the potential to be reused for scientific production, epidemiological profiling and in the creation of dictionaries and enrichment of controlled vocabularies for PEP and other health information systems. They are also important in defining algorithms for information retrieval. As a result, a repository was created in the OSF (https://osf.io/de43a/) containing spreadsheets and tables with clinical data for reuse in the delimitation of algorithms, as well as the creation of a word cloud to identify the most frequent terms in electronic patient records in the field of Gynecology. The algorithms used to retrieve the information were made available on the GitHub digital repository. Conclusions: Clinical data is information about the patient, used for care purposes, hospital administrative issues, allowing research related to the patient's health and illness. The Interface Terminology, exemplified in the research hospital's EHR, presented a diversity of clinical data in the anamneses. Objective EHR , (EHR) Terminology Methods 18256 18 256 18,25 2018 language analysed acronyms words procedures ngrams. ngrams n grams. grams n-grams Results production systems result https//osf.io/de43a/ httpsosfiode43a httpsosfiodea https //osf.io/de43a/ osf io de43a de (https://osf.io/de43a/ Gynecology Conclusions purposes issues patients s illness hospitals (EHR 1825 1 25 18,2 201 https//osf.io/de43a httpsosfiode osfiode43a osfiodea //osf.io/de43a dea (https://osf.io/de43a 182 2 18, 20 osfiode

RESUMO Objetivo: Apresentar a recuperação e análise de dados clínicos provenientes de anamnese de Prontuário Eletrônico de Pacientes (PEP), denominada nesta pesquisa como Terminologia de Interface Método: O processo de coleta de dados clínicos desta pesquisa foi realizado em prontuários eletrônicos de pacientes de hospital privado. A amostra dos dados foi composta por 18.256 anamneses do domínio da ginecologia do ano de 2018. Os dados clínicos foram recuperados por meio de Processamento de Linguagem Natural utilizando a linguagem Python. Foram analisados os termos mais frequentes relacionados aos dados clínicos do tipo: abreviaturas e siglas, stop words, procedimento e n-gramas. Resultados: Os dados clínicos têm potencial de reutilização para produção científica, traçar perfil epidemiológico e na criação de dicionários e enriquecimento de vocabulários controlados para o PEP e outros sistemas de informação em saúde. Além disso são importantes na delimitação de algoritmos para fins de recuperação da informação. Como resultados um repositório foi criado no OSF (https://osf.io/de43a/) contendo planilhas e tabelas com os dados clínicos para seu reuso na delimitação de algoritmos além da criação de nuvem de palavras para identificar os termos mais frequentes em prontuários eletrônicos do paciente no domínio da Ginecologia. Os algoritmos utilizados na recuperação da informação foram disponibilizados no repositório digital GitHub. Conclusões: Os dados clínicos são informações sobre o paciente, utilizados para fins de assistência, questões administrativas hospitalares, permitindo pesquisas relacionadas à saúde e à doença do paciente. A Terminologia de Interface, exemplificada no PEP dos Hospital da pesquisa, apresentou diversidade de dados clínicos nas anamneses. Objetivo PEP, , (PEP) Método privado 18256 18 256 18.25 2018 Python tipo siglas words ngramas. ngramas n gramas. gramas n-gramas Resultados científica https//osf.io/de43a/ httpsosfiode43a httpsosfiodea https //osf.io/de43a/ osf io de43a (https://osf.io/de43a/ Ginecologia GitHub Conclusões assistência hospitalares (PEP 1825 1 25 18.2 201 https//osf.io/de43a httpsosfiode osfiode43a osfiodea //osf.io/de43a dea (https://osf.io/de43a 182 2 18. 20 osfiode

Abstract Artificial intelligence tools are new in taphonomy and are growing fast. They are being used mainly to investigate bone surface marks. In order to investigate this subject, a bibliometric study was made to understand the growing rate of this intersectional field, the future, and gaps in the field until now. From Scopus and Google Scholar metadata, graphs were made to describe the data, and inferential statistics were made by regression with the Ordinary Least Squares method. Exploratory analysis with word clouds, topic modeling, and natural language processing with Latent Dirichlet Allocation as a method were also made using the entire corpus from the papers. From the first register until 2023, we found eight articles in Scopus and 32 in Google Scholar; the majority of the studies and the most cited were from Spain. The studies are growing fast from 2016 to 2018, and the regression shows that growth can be maintained in the coming years. Exploratory analysis shows the most frequent words are marks, models, data, and bone. Topic modeling shows that the studies are highly concentrated on similar problems and the tools to solve them, revealing that there is much more to explore with computational tools in taphonomy and paleontology as well. marks subject future now metadata data clouds papers 2023 3 Spain 201 2018 years models them well 202 20 2

Abstract Objective: To develop a natural language processing application capable of automatically identifying benign gallbladder diseases that require surgery, from radiology reports. Materials and Methods: We developed a text classifier to classify reports as describing benign diseases of the gallbladder that do or do not require surgery. We randomly selected 1,200 reports describing the gallbladder from our database, including different modalities. Four radiologists classified the reports as describing benign disease that should or should not be treated surgically. Two deep learning architectures were trained for classification: a convolutional neural network (CNN) and a bidirectional long short-term memory (BiLSTM) network. In order to represent words in vector form, the models included a Word2Vec representation, with dimensions of 300 or 1,000. The models were trained and evaluated by dividing the dataset into training, validation, and subsets (80/10/10). Results: The CNN and BiLSTM performed well in both dimensional spaces. For the 300- and 1,000-dimensional spaces, respectively, the F1-scores were 0.95945 and 0.95302 for the CNN model, compared with 0.96732 and 0.96732 for the BiLSTM model. Conclusion: Our models achieved high performance, regardless of the architecture and dimensional space employed. Objective surgery Methods 1200 1 200 1,20 database modalities surgically classification (CNN shortterm short term (BiLSTM form WordVec Word Vec representation 30 1000 000 1,000 training validation 80/10/10. 801010 80/10/10 . 80 10 (80/10/10) Results spaces 1,000dimensional 1000dimensional respectively F1scores Fscores F1 scores F 095945 0 95945 0.9594 095302 95302 0.9530 model 096732 96732 0.9673 Conclusion performance employed 120 20 1,2 3 100 00 1,00 80101 80/10/1 8 (80/10/10 000dimensional 09594 9594 0.959 09530 9530 0.953 09673 9673 0.967 12 2 1, 1,0 8010 80/10/ (80/10/1 0959 959 0.95 0953 953 0967 967 0.96 801 80/10 (80/10/ 095 95 0.9 096 96 80/1 (80/10 09 9 0. 80/ (80/1 (80/ (80 (8 (

Resumo Objetivo: Desenvolver uma aplicação de processamento de linguagem natural capaz de identificar automaticamente doenças cirúrgicas benignas da vesícula biliar a partir de laudos radiológicos. Materiais e Métodos: Desenvolvemos um classificador de texto para classificar laudos como contendo ou não doenças cirúrgicas benignas da vesícula biliar. Selecionamos aleatoriamente 1.200 laudos com descrição da vesícula biliar de nosso banco de dados, incluindo diferentes modalidades. Quatro radiologistas classificaram os laudos como doença benigna cirúrgica ou não. Duas arquiteturas de aprendizagem profunda foram treinadas para a classificação: a rede neural convolucional (convolutional neural network - CNN) e a memória longa de curto prazo bidirecional (bidirectional long short-term memory - BiLSTM). Para representar palavras de forma vetorial, os modelos incluíram uma representação Word2Vec, com dimensões variando de 300 a 1000. Os modelos foram treinados e avaliados por meio da divisão do conjunto de dados entre treinamento, validação e teste (80/10/10). Resultados: CNN e BiLSTM tiveram bom desempenho em ambos os espaços dimensionais. Relatamos para 300 e 1000 dimensões, respectivamente, as pontuações F1 de 0,95945 e 0,95302 para o modelo CNN e de 0,96732 e 0,96732 para a BiLSTM. Conclusão: Nossos modelos alcançaram alto desempenho, independentemente de diferentes arquiteturas e espaços dimensionais. Objetivo radiológicos Métodos 1200 1 200 1.20 modalidades classificação convolutional bidirectional shortterm short term . BiLSTM) vetorial Word2Vec WordVec Word Vec 30 treinamento 80/10/10. 801010 80/10/10 80 10 (80/10/10) Resultados dimensionais 100 respectivamente F 095945 0 95945 0,9594 095302 95302 0,9530 096732 96732 0,9673 Conclusão 120 20 1.2 3 80101 80/10/1 8 (80/10/10 09594 9594 0,959 09530 9530 0,953 09673 9673 0,967 12 2 1. 8010 80/10/ (80/10/1 0959 959 0,95 0953 953 0967 967 0,96 801 80/10 (80/10/ 095 95 0,9 096 96 80/1 (80/10 09 9 0, 80/ (80/1 (80/ (80 (8 (

Abstract Sentiment analysis holds paramount importance in contemporary business landscapes, particularly in leveraging insights from the extensive pool of social media data. The rise of social media platforms, including opinion polls, weblogs, Twitter, and various other networks, has accentuated the need for effective sentiment analysis tools. Deep learning has emerged as a pivotal technique in natural language processing (NLP), particularly for sentiment analysis tasks, owing to its ability to autonomously learn features. However, the performance of deep learning models can suffer when confronted with a large number of features. To address this limitation, this paper proposes a novel fused feature selection technique, Chi-Vec, aimed at selectively passing relevant features to deep learning models. Chi-Vec is a fusion of Chi-square and Word2Vec. The research encompasses the exploration of three distinct datasets; CBET, ATIS, and AWARE. Leveraging the bi-directional Long Short-Term Memory (Bi-LSTM) architecture in conjunction with Chi-Vec, the approach achieves remarkable accuracy rates of 97.96%, 98.41%, and 94.45% for CBET, ATIS, and AWARE dataset respectively. Chi-Vec not only enhances the efficiency and accuracy of sentiment analysis but also demonstrates promising potential for various NLP applications. landscapes data platforms polls weblogs Twitter networks tools NLP, , (NLP) tasks However limitation ChiVec, ChiVec Chi Vec, Vec Chisquare square Word2Vec WordVec Word datasets CBET ATIS bidirectional bi directional ShortTerm Short Term BiLSTM Bi LSTM (Bi-LSTM 9796 97 96 97.96% 9841 98 41 98.41% 9445 94 45 94.45 respectively applications (NLP 979 9 97.96 984 4 98.41 944 94.4 97.9 98.4 94. 97. 98.

BACKGROUND: Lexical properties such as orthographic neighbours have been shown to have an influence on reading and writing; however, this phenomenon is yet to be explored in the Southern Bantu languages. OBJECTIVES: We investigate the role of orthographic neighbourhood density and neighbourhood frequency in reading and spelling in Grade 3 isiXhosa home-language learners. The aim is to establish whether orthographic neighbours facilitate or hinder reading and spelling. The dual-route model of orthographic processing is used to interpret our findings. METHOD: Data were collected from 97 Grade 3 isiXhosa home-language learners. Lexical decision, word reading, and spelling tasks were administered. Tasks included both real and pseudowords varying in orthographic neighbourhood density and neighbourhood frequency, while controlling for word length and word frequency. RESULTS: Findings show a significant inhibitory effect of orthographic neighbourhood frequency and word length for spelling accuracy. Longer words with higher frequency neighbours were more likely to be spelt incorrectly. No effect was recorded for the lexical decision and word reading tasks. CONCLUSION: Our findings suggest that spelling in isiXhosa relies partially on lexical processing strategies, which allows for the inhibitory effects of orthographic neighbours to be observed. While in reading, sublexical processing is more prominent, therefore mitigating the effect of orthographic neighbours. CONTRIBUTION: Empirical evidence for the effects of orthographic neighbours, specifically in a Southern Bantu language, provides a clearer picture of the underlying cognitive-linguistic processes involved in reading and writing. This evidence may contribute to the development of targeted pedagogical practices to address spelling errors.

Abstract The current demand for specialized translation, technological advances, use of CAT tools, and delivery times have impacted both product and process, thereby fostering post-editing services. Post-editing refers to the adjustments of raw products by an automatic translator (Alves et al., 2016). Consequently, there has been an interest in studying product quality and various linguistic features including syntactic, morphosyntactic, and semantic aspects (Popovic et al., 2014; Koponen et al., 2012; Temnikova, 2010) without an examination of the cognitive processes involved in reading for post-editing. This paper aims to describe specialized text comprehension for post-editing purposes. Data was collected using an eye-tracker and a retrospective protocol from three translators. Acting as post-editors, participants were assigned to post-edit a 227-word text from the health area. Findings reveal that specialized text comprehension involves attention and working memory (Cowan, 1999, 2005; Cowan et al., 2021) during the processing of terminological units (TUs). Additionally, factors such as the field of knowledge, expertise, experience, and level of education might also influence the post-editing process. translation advances tools process postediting post editing services Postediting Post Alves al al. 2016. 2016 . 2016) Consequently syntactic morphosyntactic Popovic 2014 2012 Temnikova 2010 postediting. editing. purposes eyetracker eye tracker translators posteditors, posteditors editors, editors post-editors postedit edit 227word word 227 area Cowan, (Cowan 1999 2005 2021 TUs. TUs (TUs) Additionally knowledge expertise experience 201 22 199 200 202 (TUs 20 2 19 1

Resumen La demanda actual de traducción especializada, los avances tecnológicos, el uso de herramientas y los plazos de entrega han influido en el producto y el proceso, fomentando los servicios de posedición. La posedición se refiere a los ajustes realizados a los productos arrojados por un traductor automático (Alves et al., 2016). Por consiguiente, ha surgido un interés por estudiar la calidad del producto y cuestiones lingüísticas como aspectos sintácticos, morfosintácticos y semánticos (Popovic et al., 2014; Koponen et al., 2012; Temnikova, 2010), sin investigar los procesos cognitivos implicados en la lectura con fines de posedición. El objetivo de este artículo es describir la comprensión de un texto especializado con fines de posedición. La recolección de la información se realizó mediante seguimiento ocular y protocolo retrospectivo, a tres traductores. Los participantes poseditaron un texto de 227 palabras del ámbito de salud. Los resultados mostraron un involucramiento de la atención y la memoria de trabajo (Cowan, 1999, 2005; Cowan et al., 2021) durante el procesamiento de unidades terminológicas (UTs). Además, factores como el campo de conocimiento, la experiencia y el nivel de escolaridad también podrían afectar el proceso de posedición. especializada tecnológicos Alves al al. 2016. 2016 . 2016) consiguiente sintácticos Popovic 2014 2012 Temnikova 2010, 2010 , 2010) retrospectivo traductores 22 salud Cowan, (Cowan 1999 2005 2021 UTs. UTs (UTs) Además conocimiento 201 2 199 200 202 (UTs 20 19 1

Resumo Objetivo: o atendimento centrado na família durante procedimentos invasivos tem sido endossado por muitas organizações profissionais de saúde. O objetivo deste estudo foi avaliar as atitudes dos profissionais de saúde em relação à presença dos pais durante o procedimento invasivo realizado em seus filhos. Método: os prestadores de serviços de saúde pediátricos (divididos em categorias profissionais e faixa etária) de um dos maiores hospitais da Espanha foram solicitados a preencher um questionário e escrever comentários de texto livre. Resultados: a pesquisa foi respondida por 227 pessoas. A maioria (72%) dos participantes, em suas respostas, relatou que os pais algumas vezes estão presentes durante as intervenções, embora houvesse diferenças entre as categorias profissionais a esse respeito. Os procedimentos em que os pais estavam presentes eram aqueles considerados “menos invasivos” (96% dos casos), enquanto apenas 4% estavam presentes naqueles considerados “mais invasivos”. Quanto mais velho o profissional, a presença dos pais foi considerada menos necessária. Conclusão: as atitudes em relação à presença dos pais durante o procedimento pediátrico invasivo são influenciadas pela categoria profissional, a idade do prestador de serviço de saúde e a invasividade do procedimento. Objetivo filhos Método divididos etária livre Resultados 22 pessoas 72% 72 (72% participantes respostas intervenções respeito 96% 96 (96 casos, casos , casos) 4 invasivos. . profissional necessária Conclusão 2 7 (72 9 (9 (7 (

Abstract Objective: family-centered care during invasive procedures has been endorsed by many professional health care organizations. The aim of this study was to evaluate the health professionals’ attitudes towards parental presence during their child’s invasive procedure. Method: pediatric healthcare providers (divided in professional categories and range of ages) from one of the Spain’s largest hospitals were asked to complete a questionnaire and write free-text comments. Results: 227 responded the survey. Most (72%) participants, in their answers, reported that parents are sometimes present during interventions, although there were differences between professional categories in this respect. The procedures in which the parents were present were those considered “less invasive” (96% of cases), while only 4% were present in those considered “more invasive”. The older the professional, the less necessary parental presence was considered. Conclusion: the attitudes towards parental presence during pediatric invasive procedure are influenced by the professional category, the age of the healthcare provider and the invasiveness of the procedure. Objective familycentered family centered organizations professionals childs child s Method divided ages Spains Spain freetext free text comments Results 22 survey 72% 72 (72% participants answers interventions respect 96% 96 (96 cases, cases , cases) 4 more invasive. . Conclusion category 2 7 (72 9 (9 (7 (

Resumen Objetivo: la atención centrada en la familia durante procedimientos invasivos ha sido respaldada por muchas organizaciones profesionales dedicadas al cuidado de la salud. El objetivo de este estudio fue evaluar las actitudes de los profesionales de la salud con respecto a la presencia de los padres durante los procedimientos invasivos realizados en niños. Método: a los prestadores de atención médica en Pediatría (divididos en categorías profesionales y rangos de edad) de uno de los hospitales más importantes de España se les solicitó que respondieran un cuestionario y redactaran comentarios de texto libre. Resultados: un total de 227 profesionales respondieron la encuesta. En sus respuestas, la mayoría (72%) de los participantes informó que, en ocasiones, los padres están presentes durante las intervenciones, aunque se registraron diferencias entre las distintas categorías profesionales al respecto. Los procedimientos en los que los padres estuvieron presentes se consideraron como “menos invasivos” (96% de los casos), mientras que solamente el 4% estuvo presente en los considerados “más invasivos”. A mayor edad de los profesionales, menos necesaria se consideró la presencia de los padres. Conclusión: las actitudes con respecto a la presencia de los padres durante procedimientos pediátricos invasivos se vieron influenciadas por la categoría profesional, la edad del prestador de salud y la invasividad de los procedimientos. Objetivo niños Método divididos libre Resultados 22 encuesta respuestas 72% 72 (72% ocasiones intervenciones 96% 96 (96 casos, casos , casos) 4 invasivos. . Conclusión profesional 2 7 (72 9 (9 (7 (

The problem that necessitated this study was that some furnaces that were responsible for the further processing of steel pipes at Company X were not connected to a programmable logic control (PLC)-Internet of Things (loT) system. This slowed down the product flow. To address this problem, PLC-IoT systems were integrated so that the production system could be more effective. This study therefore models and simulates the integrated PLC-IoT control system, using the system dynamics modelling approach to investigate the performance of the automated gas furnaces. The PLC-IoT consists of an internal module that is used to process the data stream. After the implementation of the proposed control system, primary data was acquired by continuously evaluating the performance of the system. The research methodology used involved quantitative analysis and a simulation model using the Anylogic software. The result of the delivery and inventory of ingots from an automated system showed an upward trend with delivery and an inventory of an ingot at about 90 minutes; while a system that was not automated with PLC-IoT showed a downward trend of ingots. This shows that the introduction of the PLC-IoT for control makes the system more effective. The findings of this work could assist the manufacturers in achieving manufacturing or production efficiency, significant time savings, and better monitoring of the manufacturing process.

Die probleem wat hierdie studie genoodsaak het, was dat sommige oonde wat verantwoordelik was vir die verdere verwerking van staalpype by Maatskappy X nie aan 'n programmeerbare logiese beheer (PLC)-Internet of Things (IoT) stelsel gekoppel was nie. Dit het die produkvloei vertraag. Om hierdie probleem aan te spreek, is PLC-IoT-stelsels geïntegreer sodat die produksiestelsel meer effektief kon wees. Hierdie studie modelleer en simuleer dus die geïntegreerde PLC-IoT-beheerstelsel, deur die stelseldinamika-modelleringsbenadering te gebruik om die werkverrigting van die outomatiese gasoonde te ondersoek. Die PLC-IoT bestaan uit 'n interne module wat gebruik word om die datastroom te verwerk. Na die implementering van die voorgestelde beheerstelsel is primêre data verkry deur die werkverrigting van die stelsel voortdurend te evalueer. Die navorsingsmetodologie wat gebruik is, het kwantitatiewe analise en 'n simulasiemodel met behulp van die Anylogic-sagteware behels. Die resultaat van die aflewering en voorraad van blokke vanaf 'n outomatiese stelsel het 'n opwaartse neiging getoon met aflewering en 'n voorraad van 'n blokke op ongeveer 90 minute; terwyl 'n stelsel wat nie met PLC-IoT geoutomatiseer is nie, 'n afwaartse neiging van ingots getoon het. Dit wys dat die bekendstelling van die PLC-IoT vir beheer die stelsel meer effektief maak. Die bevindinge van hierdie studie kan die vervaardigers help om vervaardigings- of produksiedoeltreffendheid, aansienlike tydbesparings en beter monitering van die vervaardigingsproses te bereik.

'n Prominente toepassingsgebied in die veld van rekenaarvisie is menslike aktiwiteitsherkenning, wat behels dat mense se optrede outomaties vanaf videomateriaal geanaliseer word. In hierdie artikel word 'n generiese besluitsteunsinstrument ontwikkel wat in staat is om menslike aktiwiteitsherkenning uit te voer deur rekenaarvisie te gebruik. Die doel van die besluitondersteuningsinstrument is om die ontleding van videomateriaal te fasiliteer deur te leer om menslike aktiwiteite uit videomateriaal te identifiseer. Die besluitondersteuningsinstrument fasiliteer die verwerking van rou data, die opleiding van 'n rekenaarvisiemodel ten opsigte van die verwerkte data, en die ontplooiing van die opgeleide rekenaarvisiemodel ten opsigte van ongesiene videomateriaal. Hierdie vraestel beskryf 'n gerekenariseerde implementering van die besluitsteuninstrument ten opsigte van 'n maatstafdatastel en werklike datastel wat die kontantaanvullingsproses van 'n Suid-Afrikaanse bank behels.

A prominent application area in the domain of computer vision is human activity recognition, which involves automatically detecting people's actions from video footage. In this paper, a generic decision support tool capable of performing human activity recognition by employing computer vision is developed. The objective of the decision support tool is to facilitate the analysis of video footage by learning to identify human activities from video footage. The decision support tool facilitates the processing of raw data, the training of a computer vision model in respect of the processed data, and the deployment of the trained computer vision model in respect of unseen video footage. This paper details a computerised implementation of the decision support tool in respect of a benchmark data set and real-world data set involving the cash replenishment process of a South African bank.

Abstract Introduction Despite the developing technology of cochlear implants (CIs), implanted prelingual hearing-impaired children exhibit variable speech processing outcomes. When these children match in personal and implant-related criteria, the CI outcome variability could be related to higher-order cognitive impairment. Objectives To evaluate different domains of cognitive function in good versus poor CI performers using a multidisciplinary approach and to find the relationship between these functions and different levels of speech processing. Methods This observational, cross-sectional study used the word recognition score (WRS) test to categorize 40 children with CIs into 20 good (WRS/65%) and 20 poor performers (WRS < 65%). All participants were examined for speech processing at different levels (auditory processing and spoken language) and cognitive functioning using (1) verbal tests (verbal component of Stanford-Binet intelligence [SBIS], auditory memory, auditory vigilance, and P300); and (2) performance tasks (performance components of SBIS, and trail making test). Results The outcomes of speech processing at different functional levels and both domains of cognitive function were analyzed and correlated. Speech processing was impaired significantly in poor CI performers. This group also showed a significant cognitive function deficit, in which the verbal abilities were more affected (in 93.5%) than in the good performers (in 69.5%). Moreover, cognitive function revealed a significant correlation and predictive effect on the CI speech outcomes. Conclusion Cognitive function impairment represented an important factor that underlies the variable speech proficiency in cochlear-implanted children. A multidisciplinary evaluation of cognitive function would provide a comprehensive overview to improve training strategies. CIs, , (CIs) hearingimpaired hearing implantrelated implant criteria higherorder higher order observational crosssectional cross sectional WRS 4 2 WRS/65% WRS65 65 (WRS/65% 65%. 65% . 65%) language 1 (1 StanfordBinet Stanford Binet SBIS [SBIS] memory vigilance P300 P P300) (2 test. test) correlated deficit 93.5% 935 93 5 69.5%. 695 69.5% 69 69.5%) Moreover cochlearimplanted strategies (CIs WRS/65 WRS6 6 (WRS/65 ( [SBIS P30 93.5 9 69.5 WRS/6 (WRS/6 P3 93. 69. WRS/ (WRS/

Resumo Este artigo propõe a refletir sobre a apreciação de arte, nos dias de hoje, frente à comunicação tecnológica. A cultura, como um organismo vivo, em seus movimentos, gera e produz linguagens. Os lugares em que as cenas de recepção se processam são diversos: da visitação in loco à virtual. O sentido da palavra lugar se potencializou com o universo on-line, processando novas formas de receber e sentir arte. O formato museu é o eixo para os questionamentos e o projeto Google Art Project - GAP é o corpus referencial que direciona o pensar da problemática. Ele abre possibilidades para vários sentires e escolhas do usuário, na relação com os objetos de arte, em uma mediação virtual. Nomeamos de design de apreciação, os novos formatos estéticos, para receber e interagir com arte, por sua funcionalidade para com o apreciador. A reflexão é fundamentada e articulada por meio das ideias sobre cultura, arte e museus, de Iuri Lotman, Milton J. Bennett, Néstor Canclini, Walter Zanini, Selma Thomas, respectivamente, entre outros.

Abstract This article proposes to reflect on the appreciation of art, in the present day, in front of technological communication. Culture, as a living organism, in its movements, generates and produces languages. The places where the reception scenes take place are diverse: from visitation in loco to virtual. The meaning of the word place became potent with the online universe, processing new ways of receiving and feeling art. The museum format is the axis for questioning and the Google Art Project - GAP is the referential corpus that directs the thinking of the problem. It opens up possibilities for various user feelings and choices, in relation to the objects of art, in a virtual mediation. We named designs of appreciation, the new aesthetic formats, to receive and interact with art, for its function-ality towards the connoisseur. Yuri Lotman, Milton J. Bennett, Néstor Canclini, Walter Zanini, Selma Thomas, and others, among others, are based on the ideas of culture, art and museums.

Resumen Este artículo se propone reflexionar sobre la apreciación del arte, ante la comunicación tecnológica. La cultura, como un organismo vivo, en sus movimientos, genera y produce lenguajes. Los lugares en que las escenas de recepción se procesan son diversos: desde la visita in situ a la virtual. El sentido de la palabra lugar se vio potenciado con el universo online, procesando nuevas formas de recibir y sentir el arte. El formato museo es el eje de los cuestionamientos y el proyecto Google Art Project - GAP es el corpus refe-rencial que guía el pensar sobre la problemática. Este abre posibilidades a varios sentires y elecciones del usuario, en la relación con los objetos del arte, en una mediación virtual. Nombramos design de apreciación a los nuevos formatos estéticos, para recibir e interac-tuar con el arte, por su funcionalidad para con el apreciador. La reflexión se fundamenta y articula por medio de las ideas sobre cultura, arte y museos, de Yuri Lotman, Milton J. Bennett, Néstor Canclini, Walter Zanini, Selma Thomas, respectivamente, entre otros.

Abstract In this article, we analyze how racial profiling happen throughout the processing flow for drug trafficking in the Belo Horizonte criminal justice system. For that, we used quantitative data (derived from criminal cases filed between 2007 and 2017) and qualitative data (produced through semi-structured interviews with prosecutors, judges and defenders who worked in drug courts in 2018). The indicates the subterfuges mobilized by legal operators to guarantee racial discrimination, even though the word race is not always present in this operation. article system that derived 200 2017 produced semistructured semi structured prosecutors 2018. 2018 . 2018) discrimination operation 20 201 2

Resumo Neste artigo, analisamos como se dá o perfilamento racial ao longo do fluxo de processamento por tráfico de drogas no sistema de justiça criminal belo-horizontino. Para tanto, nós nos valemos de dados quantitativos (oriundos de processos penais arquivados entre 2007 e 2017) e qualitativos (produzidos por meio de entrevistas semiestruturadas com promotores, juízes e defensores que atuavam nas varas de tóxicos em 2018). Os resultados apontam para os subterfúgios mobilizados pelos operadores do direito para garantir discriminais raciais, ainda que a palavra raça nem sempre esteja presente nesta operação. artigo belohorizontino. belohorizontino belo horizontino. horizontino belo-horizontino tanto oriundos 200 2017 produzidos promotores 2018. 2018 . 2018) raciais operação 20 201 2

Resumen El estudio se cuestiona sobre un abordaje fructífero en el estudio de los efectos de la modalidad lingüística (de señas versus oral) en la organización de la memoria semántica. Para responder la pregunta de investigación, un aspecto central es definir criterios y procedimientos capaces de distinguir entre los factores transportados por la modalidad lingüística de los que le son propios. Entre los primeros, se encuentran la edad de exposición a la lengua natural y su distribución funcional, etaria o geográfica. Entre los aspectos propios de la modalidad se incluyen la iconicidad y el grado de concreción/abstracción de las piezas léxicas. Se sugiere centrarse en el uso de dicho gradiente para evocar dominios conceptuales. Si lo concreto/abstracto es un continuo, entonces hay que preguntarse qué forma de organización es predominante en el léxico mental de las poblaciones señantes u oyentes y qué factores modulan el perfil de esa organización.

Abstract The efforts to understand the relationship of the meaning of a lexical piece to the object to which it refers, the relationship between the lexical pieces and the concepts, and the understanding of the meanings shared between two speakers who use the same lexical pieces have all constituted major problems for the semantic memory models. According to contemporary literature, perceptual-motor, linguistic, and social information have different weights in the formation of concepts, whether concrete or abstract, stored in the aforementioned memory. Regardless of the models developed so far, it is interesting to note that semantic knowledge is represented by various ways of relating the concepts and the types of relationships between them. In this context, studies in sign languages and comparative studies between spoken and sign languages are scarce. Thus, little is known about the effect of linguistic modality on the semantic networks. After all, the theory on semantic networks and norms for the production of features has been grounded on theories of language and its processing adjusted to spoken languages. As the incorporation of the sign language and the Deaf population has shown in other psycholinguistic and linguistic topics, the importance of including these languages and populations, and comparatives with spoken languages, might increase the explanatory power of the theory to account for the universal and contextual aspects of language and its processing. In this effort, there is a latent risk: the linguistic modality can be only a vehicle for more well-known or studied cross-modal variables (e. g., age of acquisition, functional distribution of language, size of the available lexicon, etc.). If it is considered that languages are not stored together, but similar processes can occur in them, it is essential to find out what may be a singular feature of each modality (spoken versus sign) that might ground differentiated processes. Considering the high iconicity of the sign languages and the possibility of a high concreteness of the lexical pieces in the sign language as distinctive features –not collapsible into well-known variables such as the aforementioned–, this article suggests a careful approach to avoid the aforementioned risk in the study of the effects of the linguistic modality (sign versus oral) in the organization of semantic memory. Since perceptual-motor and social information are the main sources of iconicity, a balanced instrument is necessary in the evocation of perceptual-motor, social, and linguistic information. Repeated free word association tasks seem like an appropriate paradigm for a suggested approach. The reasons for this are that, by not censoring the types of response, then free association tasks allow capturing all kinds of concepts (concrete or abstract), all kinds of semantic relationships/organization (paradigmatic versus thematic) and all kinds of processes (comparison versus interaction). This type of task therefore makes it possible to collect meanings related to linguistic information and non-linguistic experience because affective and experiential information is accessible by doing the task in different repetitions. The approach and the tool are exemplified by an ongoing comparative study between Deaf signing and hearing populations. The partial findings of this study also serve to focus on the expected effects of the difference in iconicity and the level of concreteness/abstractness of the lexical pieces of each linguistic modality; namely, the differences between an abstract and a concrete conceptualization of the conceptual domains. Taxonomic and introspective labels might appear as indicative of paradigmatic relationships, of a taxonomic organization, and of underlying comparison processes. On the other hand, the situational and entity labels, indicative of syntagmatic relationships, of a thematic organization and of underlying interaction processes, might suggest a predominantly concrete organization.

Abstract: Word Sense Disambiguation (WSD) aims to determine the correct meaning of words that can have multiple interpretations. Recently, contextualized word embeddings, whose goal is to give different representations of the same word in diverse contexts, have been shown to have a tremendous impact on several natural language processing tasks including question answering, semantic analysis and even word sense disambiguation. This paper reports on experiments with different stacks of word embeddings and evaluation of their usefulness for Arabic word sense disambiguation. Word embeddings stay in the core of the development of NLP, with multiple key language models being created over the last two years like FastText, ElMo, BERT and Flair. It’s worth pointing out that the Arabic language can be divided into three major historical periods: old Arabic, middle-age Arabic, and Modern Arabic. Actually, contemporary Arabic has proved to be the greatest concern of many researchers. The main gist of our work is to disambiguate Arabic words according to the historical period in which they appeared. To perform the WSD task, we suggest a method that deploys stacked embeddings models. The experimental evaluation demonstrates that stacked embeddings outperforms the previously proposed methods for Arabic WSD.

ABSTRACT Objective: In the context of the development of information metric studies, this article proposes and applies a method for obtaining thematic indicators on descriptors representative of themes, subjects or keywords addressed in bibliographic records in the Information Science area. Method: A methodological research of applied nature was carried out, using technical procedures of automatic indexing and information metric studies. Initially, a corpus was delimited contemplating a set of bibliographic records referring to 60 articles of Brazilian journals. Later, the software Maui was applied as an automatic indexing system for categorizing the keywords of the bibliographic records into concepts of a specialty thesaurus, contemplating descriptors in the language of the metadata text. Next, the Iramuteq software was applied to generate the thematic indicators from the descriptors obtained by the automatic indexing. Finally, the proposed method was validated based on the analysis of the results obtained for the corpus. Result: The flowcharts for validation of automatic indexing and for validation of the information metric study are described, aiming to explain the processes of the proposed method as steps in processing the corpus. In addition, quality metrics for automatic indexing are presented, as well as statistical analyses of word frequency and co-occurrence, and term frequency, where the corpus' main thematic indicators are pointed out. Conclusions: We conclude that the thematic indicators obtained by applying the proposed method represent the main themes identified in the corpus, and that the method can be applied to obtain thematic indicators for other sets of bibliographic records. Objective studies area Method out Initially 6 journals Later thesaurus text Next Finally Result described addition presented cooccurrence, cooccurrence co occurrence, occurrence co-occurrence Conclusions

RESUMO Objetivo: No contexto de desenvolvimento de estudos métricos da informação, este trabalho propõe e aplica um método para obtenção de indicadores temáticos sobre descritores representativos de temas, assuntos ou palavras-chave abordados em registros bibliográficos da área de Ciência da Informação. Método: Realizou-se uma pesquisa metodológica de natureza aplicada, utilizando procedimentos técnicos da indexação automática e dos estudos métricos da informação. Inicialmente, delimitou-se um corpus contemplando um conjunto de registros bibliográficos referentes a 60 artigos de periódicos brasileiros. Posteriormente, aplicou-se o software Maui como sistema de indexação automática na categorização das palavras-chave dos registros bibliográficos em conceitos de um tesauro de especialidade, contemplando descritores no idioma do texto dos metadados. Em seguida, aplicou-se o software Iramuteq, para gerar os indicadores temáticos a partir dos descritores obtidos pela indexação automática. Validou-se, por fim, o método proposto com base na análise dos resultados obtidos para o corpus. Resultado: São descritos os fluxogramas de validação da indexação automática e de validação do estudo métrico, visando identificar e descrever os processos do método proposto como etapas do processamento do corpus. Outrossim, apresentam-se as métricas de qualidade na indexação automática, bem como análises estatísticas de frequência e coocorrência de palavras, e de frequência de termos, onde apontam-se os principais indicadores temáticos do corpus. Conclusões: Conclui-se que os indicadores temáticos obtidos por meio da aplicação do método proposto representam os principais temas identificados no corpus, e que o método pode ser aplicado na obtenção de indicadores temáticos de outros conjuntos de registros bibliográficos. Objetivo informação palavraschave palavras chave Informação Método Realizouse Realizou se aplicada Inicialmente delimitouse delimitou 6 brasileiros Posteriormente aplicouse aplicou especialidade metadados seguida Iramuteq Validouse, Validouse Validou se, Validou-se fim Resultado métrico Outrossim apresentamse apresentam termos apontamse apontam Conclusões Concluise Conclui